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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#River-Arno-&amp;-Lake-Bilancino\" data-toc-modified-id=\"River-Arno-&amp;-Lake-Bilancino-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>River Arno &amp; Lake Bilancino</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#Prologue:-Historical-floods-in-Florence-from-1177-to-the-present\" data-toc-modified-id=\"Prologue:-Historical-floods-in-Florence-from-1177-to-the-present-1.0.1\"><span class=\"toc-item-num\">1.0.1&nbsp;&nbsp;</span>Prologue: Historical floods in Florence from 1177 to the present</a></span><ul class=\"toc-item\"><li><span><a href=\"#Rainfall-flood-oct.-1992-data\" data-toc-modified-id=\"Rainfall-flood-oct.-1992-data-1.0.1.1\"><span class=\"toc-item-num\">1.0.1.1&nbsp;&nbsp;</span>Rainfall flood oct. 1992 data</a></span></li></ul></li></ul></li><li><span><a href=\"#River-Arno\" data-toc-modified-id=\"River-Arno-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>River Arno</a></span><ul class=\"toc-item\"><li><span><a href=\"#Potential-evapotranspiration\" data-toc-modified-id=\"Potential-evapotranspiration-1.1.1\"><span class=\"toc-item-num\">1.1.1&nbsp;&nbsp;</span>Potential evapotranspiration</a></span></li><li><span><a href=\"#Hydrometry\" data-toc-modified-id=\"Hydrometry-1.1.2\"><span class=\"toc-item-num\">1.1.2&nbsp;&nbsp;</span>Hydrometry</a></span><ul class=\"toc-item\"><li><span><a href=\"#Rainfall-in-Valdisieve-and-Valdarno\" data-toc-modified-id=\"Rainfall-in-Valdisieve-and-Valdarno-1.1.2.1\"><span class=\"toc-item-num\">1.1.2.1&nbsp;&nbsp;</span>Rainfall in Valdisieve and Valdarno</a></span></li><li><span><a href=\"#Some-considerations\" data-toc-modified-id=\"Some-considerations-1.1.2.2\"><span class=\"toc-item-num\">1.1.2.2&nbsp;&nbsp;</span>Some considerations</a></span></li><li><span><a href=\"#Rainfall-in-Stia-vs-Rainfall-in-Bibbiena\" data-toc-modified-id=\"Rainfall-in-Stia-vs-Rainfall-in-Bibbiena-1.1.2.3\"><span class=\"toc-item-num\">1.1.2.3&nbsp;&nbsp;</span>Rainfall in Stia vs Rainfall in Bibbiena</a></span></li></ul></li><li><span><a href=\"#Yearly-and-monthly-stats\" data-toc-modified-id=\"Yearly-and-monthly-stats-1.1.3\"><span class=\"toc-item-num\">1.1.3&nbsp;&nbsp;</span>Yearly and monthly stats</a></span></li><li><span><a href=\"#Autocorrelation\" data-toc-modified-id=\"Autocorrelation-1.1.4\"><span class=\"toc-item-num\">1.1.4&nbsp;&nbsp;</span>Autocorrelation</a></span><ul class=\"toc-item\"><li><span><a href=\"#Period-2004---Jul-2007\" data-toc-modified-id=\"Period-2004---Jul-2007-1.1.4.1\"><span class=\"toc-item-num\">1.1.4.1&nbsp;&nbsp;</span>Period 2004 - Jul 2007</a></span></li><li><span><a href=\"#Case-12/08/2006\" data-toc-modified-id=\"Case-12/08/2006-1.1.4.2\"><span class=\"toc-item-num\">1.1.4.2&nbsp;&nbsp;</span>Case 12/08/2006</a></span></li><li><span><a href=\"#Monthly-maxima\" data-toc-modified-id=\"Monthly-maxima-1.1.4.3\"><span class=\"toc-item-num\">1.1.4.3&nbsp;&nbsp;</span>Monthly maxima</a></span></li><li><span><a href=\"#period-Jul-2007---2018\" data-toc-modified-id=\"period-Jul-2007---2018-1.1.4.4\"><span class=\"toc-item-num\">1.1.4.4&nbsp;&nbsp;</span>period Jul 2007 - 2018</a></span></li></ul></li><li><span><a href=\"#Monthly-maximum-flow-rates-river-Arno-at-Nave-di-Rosano\" data-toc-modified-id=\"Monthly-maximum-flow-rates-river-Arno-at-Nave-di-Rosano-1.1.5\"><span class=\"toc-item-num\">1.1.5&nbsp;&nbsp;</span>Monthly maximum flow rates river Arno at Nave di Rosano</a></span><ul class=\"toc-item\"><li><span><a href=\"#period-Jul-2007---2018-v.2\" data-toc-modified-id=\"period-Jul-2007---2018-v.2-1.1.5.1\"><span class=\"toc-item-num\">1.1.5.1&nbsp;&nbsp;</span>period Jul 2007 - 2018 v.2</a></span></li></ul></li><li><span><a href=\"#'Condenced'-rain-data\" data-toc-modified-id=\"'Condenced'-rain-data-1.1.6\"><span class=\"toc-item-num\">1.1.6&nbsp;&nbsp;</span>'Condenced' rain data</a></span></li><li><span><a href=\"#Timeframe-with-'complete'-rainfall-data\" data-toc-modified-id=\"Timeframe-with-'complete'-rainfall-data-1.1.7\"><span class=\"toc-item-num\">1.1.7&nbsp;&nbsp;</span>Timeframe with 'complete' rainfall data</a></span><ul class=\"toc-item\"><li><span><a href=\"#period-2004-July-2008\" data-toc-modified-id=\"period-2004-July-2008-1.1.7.1\"><span class=\"toc-item-num\">1.1.7.1&nbsp;&nbsp;</span>period 2004 July 2008</a></span></li></ul></li><li><span><a href=\"#Soil-moisture-condition\" data-toc-modified-id=\"Soil-moisture-condition-1.1.8\"><span class=\"toc-item-num\">1.1.8&nbsp;&nbsp;</span>Soil moisture condition</a></span></li><li><span><a href=\"#Soil-status---Rainfall-threshold-for-flood\" data-toc-modified-id=\"Soil-status---Rainfall-threshold-for-flood-1.1.9\"><span class=\"toc-item-num\">1.1.9&nbsp;&nbsp;</span>Soil status - Rainfall threshold for flood</a></span><ul class=\"toc-item\"><li><span><a href=\"#Sieve-flood-indicator\" data-toc-modified-id=\"Sieve-flood-indicator-1.1.9.1\"><span class=\"toc-item-num\">1.1.9.1&nbsp;&nbsp;</span>Sieve <a id=\"floods\">flood indicator</a></a></span></li><li><span><a href=\"#Upstream-Florence-flood-indicator\" data-toc-modified-id=\"Upstream-Florence-flood-indicator-1.1.9.2\"><span class=\"toc-item-num\">1.1.9.2&nbsp;&nbsp;</span>Upstream Florence flood indicator</a></span></li><li><span><a href=\"#Floods-period-2005---2006\" data-toc-modified-id=\"Floods-period-2005---2006-1.1.9.3\"><span class=\"toc-item-num\">1.1.9.3&nbsp;&nbsp;</span>Floods period 2005 - 2006</a></span></li><li><span><a href=\"#ratio-of-Sieve-vs-Casentino-floods\" data-toc-modified-id=\"ratio-of-Sieve-vs-Casentino-floods-1.1.9.4\"><span class=\"toc-item-num\">1.1.9.4&nbsp;&nbsp;</span>ratio of Sieve vs Casentino floods</a></span></li></ul></li><li><span><a href=\"#Rainfall-rolling-sums\" data-toc-modified-id=\"Rainfall-rolling-sums-1.1.10\"><span class=\"toc-item-num\">1.1.10&nbsp;&nbsp;</span>Rainfall rolling sums</a></span></li><li><span><a href=\"#summer-season\" data-toc-modified-id=\"summer-season-1.1.11\"><span class=\"toc-item-num\">1.1.11&nbsp;&nbsp;</span>summer season</a></span></li><li><span><a href=\"#Prediction-water-level-river-Arno\" data-toc-modified-id=\"Prediction-water-level-river-Arno-1.1.12\"><span class=\"toc-item-num\">1.1.12&nbsp;&nbsp;</span>Prediction water level river Arno</a></span></li><li><span><a href=\"#Return-the-coefficient-of-determination-𝑅2-of-the-prediction.\" data-toc-modified-id=\"Return-the-coefficient-of-determination-𝑅2-of-the-prediction.-1.1.13\"><span class=\"toc-item-num\">1.1.13&nbsp;&nbsp;</span>Return the coefficient of determination 𝑅2 of the prediction.</a></span></li><li><span><a href=\"#RF-regressor-metrics\" data-toc-modified-id=\"RF-regressor-metrics-1.1.14\"><span class=\"toc-item-num\">1.1.14&nbsp;&nbsp;</span>RF regressor metrics</a></span></li><li><span><a href=\"#RF-regressor-predictions-vs.-observations\" data-toc-modified-id=\"RF-regressor-predictions-vs.-observations-1.1.15\"><span class=\"toc-item-num\">1.1.15&nbsp;&nbsp;</span>RF regressor predictions vs. observations</a></span></li><li><span><a href=\"#Predictionplot:-river--water-level\" data-toc-modified-id=\"Predictionplot:-river--water-level-1.1.16\"><span class=\"toc-item-num\">1.1.16&nbsp;&nbsp;</span>Predictionplot: river  water level</a></span></li></ul></li></ul></li><li><span><a href=\"#Lake-Bilancino\" data-toc-modified-id=\"Lake-Bilancino-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Lake Bilancino</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#Thermometer-data--2004\" data-toc-modified-id=\"Thermometer-data--2004-2.0.0.1\"><span class=\"toc-item-num\">2.0.0.1&nbsp;&nbsp;</span>Thermometer data  2004</a></span></li></ul></li><li><span><a href=\"#Features-for-Lake-Bilancino\" data-toc-modified-id=\"Features-for-Lake-Bilancino-2.0.1\"><span class=\"toc-item-num\">2.0.1&nbsp;&nbsp;</span>Features for Lake Bilancino</a></span><ul class=\"toc-item\"><li><span><a href=\"#Lake-level\" data-toc-modified-id=\"Lake-level-2.0.1.1\"><span class=\"toc-item-num\">2.0.1.1&nbsp;&nbsp;</span>Lake level</a></span></li><li><span><a href=\"#Flow-rate\" data-toc-modified-id=\"Flow-rate-2.0.1.2\"><span class=\"toc-item-num\">2.0.1.2&nbsp;&nbsp;</span>Flow rate</a></span></li></ul></li><li><span><a href=\"#Study-of-separate-rainfall-sets\" data-toc-modified-id=\"Study-of-separate-rainfall-sets-2.0.2\"><span class=\"toc-item-num\">2.0.2&nbsp;&nbsp;</span>Study of separate rainfall sets</a></span></li><li><span><a href=\"#Split-in-2-subsets\" data-toc-modified-id=\"Split-in-2-subsets-2.0.3\"><span class=\"toc-item-num\">2.0.3&nbsp;&nbsp;</span>Split in 2 subsets</a></span></li><li><span><a href=\"#Empty-to-full-storage\" data-toc-modified-id=\"Empty-to-full-storage-2.0.4\"><span class=\"toc-item-num\">2.0.4&nbsp;&nbsp;</span>Empty to full storage</a></span></li><li><span><a href=\"#m³/s---mm/d-conversion\" data-toc-modified-id=\"m³/s---mm/d-conversion-2.0.5\"><span class=\"toc-item-num\">2.0.5&nbsp;&nbsp;</span>m³/s - mm/d conversion</a></span></li><li><span><a href=\"#Antecendent-moisture-conditions\" data-toc-modified-id=\"Antecendent-moisture-conditions-2.0.6\"><span class=\"toc-item-num\">2.0.6&nbsp;&nbsp;</span>Antecendent moisture conditions</a></span><ul class=\"toc-item\"><li><span><a href=\"#Soil-status---Rainfall-threshold-for-flood\" data-toc-modified-id=\"Soil-status---Rainfall-threshold-for-flood-2.0.6.1\"><span class=\"toc-item-num\">2.0.6.1&nbsp;&nbsp;</span>Soil status - Rainfall threshold for flood</a></span></li><li><span><a href=\"#Sieve-flood-indicator\" data-toc-modified-id=\"Sieve-flood-indicator-2.0.6.2\"><span class=\"toc-item-num\">2.0.6.2&nbsp;&nbsp;</span>Sieve <a id=\"floods\">flood indicator</a></a></span></li></ul></li><li><span><a href=\"#Potential-Evapotranspiration\" data-toc-modified-id=\"Potential-Evapotranspiration-2.0.7\"><span class=\"toc-item-num\">2.0.7&nbsp;&nbsp;</span>Potential Evapotranspiration</a></span></li><li><span><a href=\"#Prediction-of-Lake-Bilancino-flow-rate\" data-toc-modified-id=\"Prediction-of-Lake-Bilancino-flow-rate-2.0.8\"><span class=\"toc-item-num\">2.0.8&nbsp;&nbsp;</span>Prediction of Lake Bilancino flow rate</a></span><ul class=\"toc-item\"><li><span><a href=\"#Return-the-coefficient-of-determination-𝑅2-of-the-prediction.\" data-toc-modified-id=\"Return-the-coefficient-of-determination-𝑅2-of-the-prediction.-2.0.8.1\"><span class=\"toc-item-num\">2.0.8.1&nbsp;&nbsp;</span>Return the coefficient of determination 𝑅2 of the prediction.</a></span></li><li><span><a href=\"#RF-regressor-metrics\" data-toc-modified-id=\"RF-regressor-metrics-2.0.8.2\"><span class=\"toc-item-num\">2.0.8.2&nbsp;&nbsp;</span>RF regressor metrics</a></span></li><li><span><a href=\"#RF-regressor-predictions-vs.-observations\" data-toc-modified-id=\"RF-regressor-predictions-vs.-observations-2.0.8.3\"><span class=\"toc-item-num\">2.0.8.3&nbsp;&nbsp;</span>RF regressor predictions vs. observations</a></span></li><li><span><a href=\"#Predictionplot:-lake-data\" data-toc-modified-id=\"Predictionplot:-lake-data-2.0.8.4\"><span class=\"toc-item-num\">2.0.8.4&nbsp;&nbsp;</span>Predictionplot: lake data</a></span></li></ul></li><li><span><a href=\"#Prediction-2:-water-level-Lake-Bilancino\" data-toc-modified-id=\"Prediction-2:-water-level-Lake-Bilancino-2.0.9\"><span class=\"toc-item-num\">2.0.9&nbsp;&nbsp;</span>Prediction 2: water level Lake Bilancino</a></span><ul class=\"toc-item\"><li><span><a href=\"#Lake-level\" data-toc-modified-id=\"Lake-level-2.0.9.1\"><span class=\"toc-item-num\">2.0.9.1&nbsp;&nbsp;</span>Lake level</a></span></li></ul></li><li><span><a href=\"#Return-the-coefficient-of-determination-𝑅2-of-the-prediction.\" data-toc-modified-id=\"Return-the-coefficient-of-determination-𝑅2-of-the-prediction.-2.0.10\"><span class=\"toc-item-num\">2.0.10&nbsp;&nbsp;</span>Return the coefficient of determination 𝑅2 of the prediction.</a></span></li><li><span><a href=\"#RF-regressor-metrics\" data-toc-modified-id=\"RF-regressor-metrics-2.0.11\"><span class=\"toc-item-num\">2.0.11&nbsp;&nbsp;</span>RF regressor metrics</a></span><ul class=\"toc-item\"><li><span><a href=\"#RF-regressor-predictions-vs.-observations\" data-toc-modified-id=\"RF-regressor-predictions-vs.-observations-2.0.11.1\"><span class=\"toc-item-num\">2.0.11.1&nbsp;&nbsp;</span>RF regressor predictions vs. observations</a></span></li></ul></li><li><span><a href=\"#Predictionplot:-lake-flow-rate\" data-toc-modified-id=\"Predictionplot:-lake-flow-rate-2.0.12\"><span class=\"toc-item-num\">2.0.12&nbsp;&nbsp;</span>Predictionplot: lake flow rate</a></span></li></ul></li></ul></li></ul></div>"
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    "# River Arno & Lake Bilancino\n",
    "> This notebook is part of a tripartite which consists of one notebook about the Petrignano aquifer, one notebook about the water spring Madonna di Canneto, and this one combining the methodology and ML algo's for the water bodies river Arno and the artificial lake Bilancino.   \n",
    "\n",
    "> *Can you help preserve \"blue gold\" using data to predict water availability?*\n",
    "\n",
    "**Competition info**  \n",
    "- TITLE: Acea Smart Water Analytics  \n",
    "- Start Date: December 10, 2020\n",
    "- Entry Deadline and End Date (Final Submission Deadline): February 17th, 2021 11:59 PM UTC\n",
    "- COMPETITION SPONSOR: Injenia SRL on behalf of Acea Spa  \n",
    "    - ADDRESS: Via dei Lapidari, 12, 40129 Bologna BO, Italy  \n",
    "    - WEBSITE: https://www.kaggle.com/c/acea-water-prediction  \n",
    "    \n",
    "**Datasets**  \n",
    "This competition uses nine different datasets, completely independent and not linked to each other. Each dataset can represent a different kind of waterbody. As each waterbody is different from the other, the related features as well are different from each other. So, if for instance we consider a water spring we notice that its features are different from the lake’s one.  The Acea Group deals with four different type of waterbodies: water spring (for which three datasets are provided), lake (for which a dataset is provided), river (for which a dataset is provided) and aquifers (for which four datasets are provided). Thus there are 9 datasets, including springs, aquifers, a river and a lake. \n",
    "\n",
    "**Motivation**  \n",
    "Some datasets had 20+ columns, while other had 3 or 4. Regardless the numbers of columns, there were some long gaps in data series due to numerous nan's. So, after performing an initial EDA, I chose these 2 competition topics: river Arno & lake Bilancino.  \n",
    "A nice reason for this decision is that they are hydrologically connected: the lake is a water storage on the river (La) Sieve, which tributes to the Arno. As such, to study one topic is half the work of the other.  \n",
    "\n",
    "However, there were many obstacles on route to find a reasonable methodology to obtain decent results for this endeavor. As the competition team provided interesting datasets at first glance, it became clear that some crucial info was not provided, and that the datasets had some NaN's holes. For instance, a hole in the river level data for > 6 months, which sadly included a big flooding event. Considering that many rivers in Central Italy are torrential in their core, and a **catastrophic flood** of the Arno occurs every 150-200 years, I would have provided some more data as competition instigator.   \n",
    "\n",
    "**Background info**  \n",
    "There is some justification to bring up for this way of omitting data on purpose: most employees working for the administrations or public co. that manage these surface waters, don't have a science background nor higher level degree. But still they have to be able to make decisions based on what they experience in real time while on site. In line of this you can find some hydrological studies which provide understandable decision making tools for a hayman. This might be worthwhile for predicting water levels for most of the storm events, but cannot handle fat tail events.  \n",
    "\n",
    "So, I took the freedom to collect scientifical info and data I could find online, and tried out if this added info provided better results for the model.\n",
    "Also, as the given datasets are so small, at least the ones I chose, I believe that running a training test for more than 5 minutes is waste of energy resources; and we're dealing here with natural resources, right? "
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    "What follows is a more detailed analysis on specific topics I spotted to be interesting to work on. This lead to some corrections to the original dataset(s), and also to some new features. Applied corrections are tested by algo's like random forest or other regressors. Most new features did not stand the tests however.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "I5te6mAPYnjE",
    "outputId": "2459a7b8-ea04-4f9c-f08b-a6e917ec879a"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container {width:72% !important;}</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "sns.set()\n",
    "sns.set_context('notebook')\n",
    "np.set_printoptions(threshold=20, precision=2, suppress=True)\n",
    "pd.options.display.max_rows = 57\n",
    "pd.options.display.max_columns = 38\n",
    "pd.set_option('precision', 2)\n",
    "\n",
    "from IPython.display import Image, display\n",
    "%config InlineBackend.figure_format = 'retina';\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container {width:72% !important;}</style>\"))\n",
    "\n",
    "from datetime import datetime, timedelta, timezone\n",
    "import os\n",
    "#os.listdir(\"/kaggle/input/hydrologymap-arnobasin\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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    "id": "IG4fozmPYnjF",
    "outputId": "ea5eab2f-f836-4cca-cf9e-e0026c21a6ef"
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   "outputs": [
    {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 400,
       "width": 430
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Im= Image( url=\"http://vanoproy.be/css/watershed_bilancino.jpg\", format='jpg', embed=True, width=430, height=400, retina=False,)\n",
    "display(Im ,)#data='bytes',"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The location of the lake Bilancino and the rivers Sieve and Arno. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "ndseLEYKYnjG",
    "outputId": "f32b676c-0279-4d97-cadc-2c1ea49d3521"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: openpyxl in c:\\program files\\python38\\lib\\site-packages (3.0.3)\n",
      "Requirement already satisfied: et-xmlfile in c:\\program files\\python38\\lib\\site-packages (from openpyxl) (1.0.1)\n",
      "Requirement already satisfied: jdcal in c:\\program files\\python38\\lib\\site-packages (from openpyxl) (1.4.1)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MEDIUM</th>\n",
       "      <th>LARGE</th>\n",
       "      <th>EXCEPTIONAL</th>\n",
       "      <th>ALL</th>\n",
       "      <th>Periodicy</th>\n",
       "      <th>Count</th>\n",
       "      <th>MeanPeriod</th>\n",
       "      <th>DayPeriodicy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1261.0</td>\n",
       "      <td>1177.0</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>1177</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.32e-07</td>\n",
       "      <td>14.35</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1303.0</td>\n",
       "      <td>1269.0</td>\n",
       "      <td>1547.0</td>\n",
       "      <td>1261</td>\n",
       "      <td>84.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1305.0</td>\n",
       "      <td>1282.0</td>\n",
       "      <td>1557.0</td>\n",
       "      <td>1269</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1362.0</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1589.0</td>\n",
       "      <td>1282</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1368.0</td>\n",
       "      <td>1288.0</td>\n",
       "      <td>1740.0</td>\n",
       "      <td>1284</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1378.0</td>\n",
       "      <td>1334.0</td>\n",
       "      <td>1758.0</td>\n",
       "      <td>1288</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1406.0</td>\n",
       "      <td>1345.0</td>\n",
       "      <td>1844.0</td>\n",
       "      <td>1303</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1434.0</td>\n",
       "      <td>1380.0</td>\n",
       "      <td>1966.0</td>\n",
       "      <td>1305</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1490.0</td>\n",
       "      <td>1456.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1333</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1491.0</td>\n",
       "      <td>1465.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1334</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MEDIUM   LARGE  EXCEPTIONAL   ALL  Periodicy     Count  MeanPeriod  \\\n",
       "0  1261.0  1177.0       1333.0  1177        NaN  8.32e-07       14.35   \n",
       "1  1303.0  1269.0       1547.0  1261       84.0       NaN         NaN   \n",
       "2  1305.0  1282.0       1557.0  1269        8.0       NaN         NaN   \n",
       "3  1362.0  1284.0       1589.0  1282       13.0       NaN         NaN   \n",
       "4  1368.0  1288.0       1740.0  1284        2.0       NaN         NaN   \n",
       "5  1378.0  1334.0       1758.0  1288        4.0       NaN         NaN   \n",
       "6  1406.0  1345.0       1844.0  1303       15.0       NaN         NaN   \n",
       "7  1434.0  1380.0       1966.0  1305        2.0       NaN         NaN   \n",
       "8  1490.0  1456.0          NaN  1333       28.0       NaN         NaN   \n",
       "9  1491.0  1465.0          NaN  1334        1.0       NaN         NaN   \n",
       "\n",
       "   DayPeriodicy  \n",
       "0           NaN  \n",
       "1           NaN  \n",
       "2           NaN  \n",
       "3           NaN  \n",
       "4           NaN  \n",
       "5           NaN  \n",
       "6           NaN  \n",
       "7           NaN  \n",
       "8           NaN  \n",
       "9           NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#!pip install openpyxl\n",
    "Floods =pd.read_excel(r\"http://vanoproy.be/css/River_Arno.xlsx\",sheet_name=\"Floods\", ); # header=0,sep=\";\",\n",
    "#floods[\"Date\"] = pd.to_datetime( River_Arno.Date, format='%d/%m/%Y' ) # euro dates\n",
    "#floods.set_index(\"Date\", inplace=True)\n",
    "Floods.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MHrvUnslYnjG"
   },
   "source": [
    "<center><img src=\"http://vanoproy.be/css/PonteVecchiandtheUffiziGalleryinFlorenceduringthefloodofNovember41966UpstreamviewsourcePrincipeSica1967.jpg\"  title=\"Florence during the flood of November 4 1966\"  alt=\"Florence during the flood of November 4 1966\" width=350> </center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "B5YBW2viYnjG"
   },
   "source": [
    "### Prologue: Historical floods in Florence from 1177 to the present\n",
    "\n",
    "The source  of the first 3 columns of the Floods table: \n",
    "- \"The Arno River Floods\", Caporali E., Rinaldi M., Casagli N. ; Giornale di Geologia Applicata 1 (2005) 177 –192, doi: 10.1474/GGA.2005-01.0-18.0018\n",
    "\n",
    "**Note: you may skip this intro about floods, as it is not essential for the methodology.** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "UDwja80BYnjH",
    "outputId": "c8eb20c6-dbb5-4130-9a06-7e77042979a7"
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 948
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax= plt.subplots(1,3, figsize=(16,4), sharex=True, sharey=True) ; FloodsALL= Floods.ALL; \n",
    "sns.histplot( data=Floods.MEDIUM, bins=20, ax= ax[0] ); \n",
    "sns.histplot( data=Floods.LARGE, bins=20, ax= ax[1],color=\"darkorange\" ); \n",
    "sns.histplot( data=Floods.EXCEPTIONAL, bins=20, ax= ax[2],color=\"crimson\" ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QaeZOJyhYnjH"
   },
   "source": [
    "#### Rainfall flood oct. 1992 data\n",
    "source: \n",
    "- \"Sensitivity of meteorological high-resolution numerical simulations of the biggest floods occurred over the Arno river basin, Italy, in the 20th century\". (2003)\n",
    "Francesco Meneguzzoa, Massimiliano Pasquia, Giovanni Mendunib,Gianni Messeric, Bernardo Gozzinia, Daniele Grifonia, Matteo Rossic,Giampiero Maracchia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "b1a4Z5mlYnjI",
    "outputId": "2b23eb8a-bcda-4210-e532-908c43de8ed0"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Floodclass</th>\n",
       "      <th>EXCEPTIONAL</th>\n",
       "      <th>LARGE</th>\n",
       "      <th>MEDIUM</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1688</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1695</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1698</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1705</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1709</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1714</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1715</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1719</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1740</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1745</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1758</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1761</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1844</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Floodclass  EXCEPTIONAL  LARGE  MEDIUM\n",
       "Year                                  \n",
       "1688                  0      1       0\n",
       "1695                  0      0       1\n",
       "1698                  0      0       1\n",
       "1705                  0      1       0\n",
       "1709                  0      1       0\n",
       "1714                  0      1       0\n",
       "1715                  0      0       1\n",
       "1719                  0      1       0\n",
       "1740                  1      0       0\n",
       "1745                  0      0       1\n",
       "1758                  1      0       0\n",
       "1761                  0      0       1\n",
       "1844                  1      0       0\n",
       "1966                  1      0       0\n",
       "1992                  0      0       1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "floods =pd.read_csv(r\"http://vanoproy.be/css/HistoricalfloodsinFlorencefrom1177tothepresent.csv\",header=0, engine='python', encoding=\"UTF-8\",parse_dates=True, ); \n",
    "floods[\"count\"] = 1 ; #\n",
    "floods[\"year\"] =pd.to_datetime( floods.Year, format='%Y',infer_datetime_format=True, errors = 'coerce' ) # \n",
    "floodsm= pd.pivot_table(data=floods ,index=\"Year\",columns=\"Floodclass\",values=\"count\",fill_value=0 )#pivot_table(floods, id_vars=['Year'], value_vars=['Floodclass']) \n",
    "floodsm.tail(15) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "KfSnt4bJYnjI",
    "outputId": "cd1f830f-e091-445b-a288-1d9d6ce7f7c0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 57 entries, 1177 to 1992\n",
      "Data columns (total 3 columns):\n",
      " #   Column       Non-Null Count  Dtype\n",
      "---  ------       --------------  -----\n",
      " 0   EXCEPTIONAL  57 non-null     int64\n",
      " 1   LARGE        57 non-null     int64\n",
      " 2   MEDIUM       57 non-null     int64\n",
      "dtypes: int64(3)\n",
      "memory usage: 1.8 KB\n"
     ]
    }
   ],
   "source": [
    "floodsm.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "DZ-Y68RYYnjI",
    "outputId": "fa4e958a-6a94-47df-a677-1b98f9dcd879"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 158,
       "width": 1155
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "floodsm.plot( colormap=\"magma\", figsize=(20,2),); #x=floodsm.Yeary=\"Floodclass\","
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hQWvHn0HYnjJ"
   },
   "source": [
    "## River Arno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "YN5Xf2ynYnjJ",
    "outputId": "b9dfc108-147f-4691-8c18-3fc51bc41191"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1998-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-04</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-05</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "1998-01-01                NaN                 NaN               NaN   \n",
       "1998-01-02                NaN                 NaN               NaN   \n",
       "1998-01-03                NaN                 NaN               NaN   \n",
       "1998-01-04                NaN                 NaN               NaN   \n",
       "1998-01-05                NaN                 NaN               NaN   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  Rainfall_Vernio  \\\n",
       "Date                                                              \n",
       "1998-01-01               NaN               NaN              NaN   \n",
       "1998-01-02               NaN               NaN              NaN   \n",
       "1998-01-03               NaN               NaN              NaN   \n",
       "1998-01-04               NaN               NaN              NaN   \n",
       "1998-01-05               NaN               NaN              NaN   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
       "1998-01-01            NaN               NaN              NaN   \n",
       "1998-01-02            NaN               NaN              NaN   \n",
       "1998-01-03            NaN               NaN              NaN   \n",
       "1998-01-04            NaN               NaN              NaN   \n",
       "1998-01-05            NaN               NaN              NaN   \n",
       "\n",
       "            Rainfall_Montevarchi  Rainfall_S_Savino  Rainfall_Laterina  \\\n",
       "Date                                                                     \n",
       "1998-01-01                   NaN                NaN                NaN   \n",
       "1998-01-02                   NaN                NaN                NaN   \n",
       "1998-01-03                   NaN                NaN                NaN   \n",
       "1998-01-04                   NaN                NaN                NaN   \n",
       "1998-01-05                   NaN                NaN                NaN   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  Temperature_Firenze  \\\n",
       "Date                                                                     \n",
       "1998-01-01                NaN                 NaN                  NaN   \n",
       "1998-01-02                NaN                 NaN                  NaN   \n",
       "1998-01-03                NaN                 NaN                  NaN   \n",
       "1998-01-04                NaN                 NaN                  NaN   \n",
       "1998-01-05                NaN                 NaN                  NaN   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  \n",
       "Date                                   \n",
       "1998-01-01                       1.82  \n",
       "1998-01-02                       1.94  \n",
       "1998-01-03                       2.11  \n",
       "1998-01-04                       1.84  \n",
       "1998-01-05                       1.88  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno =pd.read_csv(r\"http://vanoproy.be/css/River_Arno.csv\",header=0, sep=\",\", engine='python', encoding=\"UTF-8\",parse_dates=True  ); \n",
    "River_Arno[\"Date\"] = pd.to_datetime( River_Arno.Date, format='%d/%m/%Y' ) # euro dates\n",
    "River_Arno.set_index(\"Date\", inplace=True)\n",
    "River_Arno.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pUx7a8miYnjJ"
   },
   "source": [
    "There are some gaps in the temperature data, which we correct by interpolation.  And there are also some errors -zero's - in the river level data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "wre9Gj65YnjJ",
    "outputId": "8d2ae90f-b858-4825-cb71-777df5eaf30e"
   },
   "outputs": [
    {
     "data": {
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fkbT+4oU++Nc5LsvnDy4g19C5sGXrVOPwum6rf0T9WG3pnVT9bolinSiKqL82KK13DtmiuDdERERERLQRMQBERERERERERJvK8IQyAGRa8PPiHLO03DdiX/BzolBqUYRUahcJAAFAbUk6/vlPDuKP3rAVGkEI+j6P7siDyagFAAyPO9DQsfZxd78+3oGPfPE1/OSFlnXvx2IBoMbOcdim3Wu+rd5FHqu/P9W1nt0iioqOQRsGFQ11VrsbE1OuKO4RERERERFtNAwAEREREREREdGmomwAypvXAASoA0DzxwoRhZLb40PngNzyUb1EACjUEgw6HNtZIK2/eH5to4asdheePtUFn1/Eyxf7YbWvPaRgc7jRMzQFINBKNPe484sizl5fWwuQx+tXjfaby0g1dIyjc5AtKrQxnLy2cBxf9+xjhIiIiIiIaDUYACIiIiIiIiKiTUMURQyPO6X1xQJARdkMAFFkdAzY4PMHxm/lZyYiJdEQsfu+Y18R5rqEGjrHMTi2+nF3Z69boJwa1jm49pDC9a4JzN1ERUEKbttTKP3sdNPaAkCDY9PS7zErNQEHtuZKP/v9ya417xtRpHm8PpxZ5Ljv4hgwIiIiIiJaAwaAiIiIiIiIiGjTmLS74fL4AABJCTqYTfoF2xTnqgNAojLpQBRCrasY/xUuOWkm7K7OktZfvNC36uuealQ3lXSso2WnUTH+a1t5Bm7akgOtJhBJ6hiwYVjR1LWS/hE5vFScY8YbD5dK65faRjnKj2LepbZROFzeBZd3sQGIiIiIiIjWgAEgIiIiIiIiIto0lOO/cjMSIczNClLITjPBaNACAKYcHtim3RHbP9pcWhQBoEiN/1K6a1+RtHzy2hAcM54VrzM4Nr0glLDWMVuiKKKxSw4AbS/PgNmkx46KTOmytbQA9SoCPoXZZhRlm7FHEW56+lT3mvaPKNJONsihugNbc6RljgAjIiIiIqK1YACIiIiIiIiIiDYNVQAofeH4LwDQCAKKspOkdY4Bo3Dw+vxo77dK65FuAAKALaXpKJw91l0eH45fGVzxOqcbFwZzOgdsa2rKGhhzYGLKBQBINOpQlp8MADi0TR7ddapxaNW32ad4jBbnBBq83nSkTLrs7PVh1WOfKJZM2l241jEmrb/9lgoY9YEQqnXaLT1WiIiIiIiIVsIAEBERERERERFtGsqxQnmZiweAAKA4Wz0GjCjUuoem4Pb6AQBZqQnISEmI+D4IgoC79xdL6y9f7IPfv3ToRhRFnG4aWnC5w+WFZcK56vtVjv/aWpYOrSbwEeXuqiwkzLZvWSac6BxcXfuJsgFoLrxXnp+C7RUZs/sNPMMWIIpRgbBbYLm2OA056YkoVYyi7Bpa+4g9IiIiIiLanBgAIiIiIiIiIqJNQ9kCkpexTAAohwEgCq9Wxfivmii0/8w5VJeLpAQdAGDUOoPLN0aX3LZ9wIaRyRkAgMmow5aSNOlnHWsYA6YMAG0rz5CWDXot9tVmS+unGheGjeabcrhhtQfG9Ol1GlWz15sOl6lua9S6+pASUSSIooiT1+Tj/OiOfABAaV6KdBnHgBERERER0WoxAEREREREREREm8awagSYacntinOSpWUGgCgcWmIkAGTQa3Hr7kJp/Xf1XfD5/Ytue1oRyNlfm63a786B1QWAPF4fWnompPVtZRmqnx/elictn70+DK9v8X2Z0zcyLS0XZCVBoxGk9ZriNGm0ms8v4tnTPavaR6JI6RqaQv9o4Bg26rXYvyUQgCvLS1ZtQ0REREREtBoMABERERERERHRpuD1+aX2EgDIXaYBqHB2jBAADI454PEuH0IgWgu/X0Rbn1Var41iAAgA7thbCJ028DFh9/AUXjrft2Abr8+Ps9ct0vrhbXmoKJBbSjpX2QDU1meVRp/lppuQnaYO4m0pSUeq2QAAmHJ40NQ1seA2lPoUAT3l6L45bzpaJi2fbBxadsQZUaTVXxuUlvfVZiPBEGjjKstXB4BEkcctERERERGtjAEgIiIiIiIiItoURiad8M+eRM1IMcKo1y65rcmoQ85sMMEvihgYnV5yW6K16huxw+nyAgBSkwzIWaaNKhIyUhLwFkVQ5tcnOjA6qR6X1dg5DrvTAwBITzaipiQNZfmKMUXD9hXbeuZuZ45y/NccjUbAobpcaf100/JjwHpH5ABQUc7CAFBdaTpSkgKBIpfbh5FJjgGj2ODx+nGmaVhanxv/BQQCqkZD4DXKNu3G5OyYOyIiIiIiouUwAEREREREREREm8LwuHziPzd96fafOcowAceAUSi1zhv/JQjC0htHyH0HS6TmK7fHj8dfaFW1jpxSjP86VJcLjSAgJdGArNQEAIGGoL6RlR8nygDQ9vLMRbc5VCePAbvYOoIZt3fJ2+sfUTYAJS34uSAIqsv5WKZYceXGKKZnAsd2ZkoCakvSpJ9pBAGlitegrqHVNWwREREREdHmxgAQEREREREREW0KQ+MOaTlvmfFfc4oZAKIwmR8AigU6rQYfuG8L5qJI1zrGcK45MPLL6fLictuotO2hbXJARzUGbGD5kIJ12o2e2ceSViOoAg9KJblmFGTJYaRLraOLbuf3i+gfkdu5ChdpAALUYb7VhJSIIkE5/uvI9jxo5gUBlQ1bXYNTEdsvIiIiIiLauBgAIiIiIiIiIqJNIZgAEEMDFCqiKMZkAAgAqgpTcfveQmn9f/7QiukZDy62jsDtDYz3KspOUj02yhUhhY7B5QNATV1y+09lYSpMRt2i2wmCegzYmevDi25nmXRK+5WaZEBKomHR7YqyGeaj2GKdduNah/x4OLojb8E2pXnJ0nL3MANARERERES0MgaAiIiIiIiIiGhTGFYEgHLX0QCkHIdEtF6j1hnYHB4AgMmok8ZuxYp33FqJNHMgSGNzePDEK+04rRz/tU0dVFAGgDpXaClRjv/aVp6x7LYHFQGgxs5x2J2eBdv0KcI8RUu0/wDqx7KyMYgoWi62WOCffU2pKUpFziJjKcsUAaCuQRtfg4iIiIiIaEUMABERERERERHRpjA0oWwAMq24fWZqAhIMWgCA3enBpN0dtn2jzaNrSA7JlOUlLxj7E20mow4P310rrR+/MoCmrglpXdnMAwClufL/w+DoNJwu76K3K4qiKgC0fYUAUHaaSQoX+fwiLraOLNhG2cxVnL10ACg/M0naR8ukEzPuxfeRKFL6RuUg2q7qrEW3yc1IhHH2Ncjm8GBiyhWRfSMiIiIioo2LASAiIiIiIiIiintOlxfW2QCPViMgMzVhxetoBEHVKtJr4QgWCl6nYkyWsj0nluyrzcYeRShhrnektjgNGSnqx47RoJVajESoA05KfSPTsE4HHoNJCTqU5iYvup3Swa050vLZRcaA9aoagJZuUtLrNMjLlBtW2AJE0WaZcErLS42k1AiC6nHSvcRji4iIiIiIaA4DQEREREREREQU94YV7T856SZoNav7SGT+GDCiYHUpAkDKET+x5uG7a6QGrDmHt+ctuq16DJht0W3mj//SaFZuPrppay7mtrrePSEFiOYoG4CKlmkACvxcDgj1jvCxTNFlUb0mLT2SUvkc0ckAEBERERERrYABICIiIiIiIiKKe0PjyvFfS59snS+SASCf34+r7WMMGsUxvyiie1g+iR+rDUAAkJGSgHfcWimt67QC9tdmL7ptRYEiADSwMADk94uovzYordeVLT/+a056shHVRakAAFEELrRYpJ85XV6MTM4ACDSl5Gcu3QAEqANC/RY2AFH0eH1+jFoDx64AICdt6UY6ZQCIDUBERERERLQSBoCIiIiIiIiIKO4Nj8vjVnLXEgDKjlwA6OUL/fjKE1fwme+fxbAisETxY3jcAafLBwBITtQjI8UY5T1a3u17CnFoWy60GgEPHKtAYoJ+0e2UIYWORRqAzl4fRv9oIHSTYNBib83iQaLFHKjLlW+nSR4DNjAqh3jyMxOh1y3/MadqnB8bgCiKRq0zEGfn6qWnGKHXaZfctlQVALJBnLsiERERERHRIhgAIiIiIiIiIqK4t94GoKJsszSCaGjcAbfHF+I9k11oHQEAiABaeifDdj8UPV2D6vYfQVh5DFY0aTQC/vRNdfjWX9+G+w+VLrldYXYSDLMBnIkpFyamXNLPfH4/nnq9U1q/e38xzKbFg0SL2V+bg7lfU2ufFeO2QHOKMsSjDPcsRRnm67PYGaSgqFGO/8pdZvwXEAiszo3iszk8qscWERERERHRfAwAEREREREREVHcW28AyGjQIifdBCAwgqh/NDyjg0RRRK9FDodMOdxhuR+Krk5FO46yNSeWCYIAzQpBJa1Go2oq6VL8f55sGMLwRKCBK9Gow70Hitd0/ylJBmwtTZfWzzcHxoD1KRq5irKXH/8FABkpRpiMOgCAw+VlkIKiZu7xAEB6fVmKRhBQmqt4bHEMGBERERERLYMBICIiIiIiIiKKa6IoqkZqrWUEGAAU56ibQ8Jh1DojjYYCALvTE5b7oehSnrwvy0+J4p6EXrni/2duDJjX58dvX++SLr/3YMmSY8SWc2CrPAbszPXZANCIHMYryl65AUgQBFVQqI9jwChKLOOrDwAB6jFgDAAREREREdFyGAAiIiIiIiIiorhmm3Zjxh0I15iMWqQkri2AoBwv1BumAFDPsPp27Q4GgOKNz+9Hz7B6BFg8qSiQ/3/mmo5OXB3E2OzILrNJj7v2Fa3rtvfWZEOrEaTbtkw6VWG84lWMAAMi81gmWsnw5OpHgAHqtrCuIdsyWxIRERER0WbHABARERERERERxTXl+K/c9EQIK4wzmq84AqEB5fgvAJhiA1Dc6R+ZhtvrBxAYR5WaZIjyHoWWMtDUOTgFl8eH35/ski57w6FSaQTXWplNemwvz5DWnz/bA4fLCyAwViw92biq2ylWNAUpG4SIIsmyhhFggLotrHtoCqIohmW/iIiIiIho42MAiIiIiIiIiGLOxJQLP36+BcevDER7VygOKANAeZlrG/8FLAwAhePk6/xg0RQbgOKOavxXXny1/wBAVmoCzKZAu5bT5cUvX76BiSkXACA1yYDb9xYGdfvKMWDHL8uvDUU55lWH+ooiMM6PaDlenx+jkzPSenbaygGgnHQTEgxaAIHXhrnHFRERERER0XwMABEREREREVFM8fr8+MoTV/DqpX788NlmtPZORnuXaIMbHpfbFvJWMW5lvsyUBKm5xOHyhuXk64IRYE53yO+DoqtrUB7dU56fvMyWG5MgCKoxYK9c6peW33i4FEa9Nqjb312dBb0u8FGmzy+H8Iqyk1Z9G4VZ8rZD4w54ZhuZiCJlzDYD/2yIND3ZuKrHhUYQUJorP2d0Dk4tszUREREREW1mDAARERERERFRTPnDuV5VG0r9tcEo7g3FA9UIsIy1B4AEQUCxImTQE+LmkOkZD8ZsM6rL7BwBFnc647wBCFCPAZuTnmzErbsLgr5tk1GHnZWZCy5Xtvqs5jayUhMABEJEg2McA0aRpRz/lbuK8V9zyhShwe5h2zJbyqzTbrx6uR+jk86VNyYiIiIiorjAABARERERERHFDMuEA0+93qm67HzLCDxeX5T2iOKBagTYOgJAAFCcI598nT+uK1i9wwtvz+nywetjO0m88Hj9qpFTZXHYAAQsHgB689Ey6HXBtf/MUY4Bm1OcvfoAEKAe6dc3wjFgFFnDitejnDUEgErz5OeMlp7JFbf3+vz44s8u4cfPteALP7sEn5+vJ0REREREmwEDQERERERERBQTRFHE48+3wD1vJIvT5cWVG2NR2iva6Hx+P0YU7Qe5Gas/4apUnCuHBq7cGMWYdWaZrddmqUahKQdbgOJFr8Uuja3KSTchKUEf5T0Kj/mjzbJSE3DzjvyQ3f7OyswFI5MK1zACDACKFIGhPgsbgCiylA1AOWsYSVlTlAZBCCy39VnR2DW+7PavXR5A/2jg+B61zqB/hMc6EREREdFmwAAQERERERERxYTTjcNo7JoAAAgCsLsqS/5Z03C0dos2uFHrjBS8SDMbkGDQret2lK0hHQM2/O23TuGHz16HZcKxzLVWp9cytejlHAMWP7qG5JE9ZXnx2f4DAMmJBuSkySG7t95cDp02dB8/GvVa7KmWXxuy0xLW/JguYgMQRZFFEUhVPlZWkpGSgKOKMN0Tr9yAXxQX3dbp8uK39eo2xa6hxV9niIiIiIgovjAARERERERERFE35XDjZy+1Set37SvGg7dXSutX20cxPcMwBK3d0Fjw47+AwPiVXZWZ0rrPL+L4lUF8+ttn8J3fNWFwbP3tCsoRYHqd/FGN3eFe921SbOkclANAi43JiidvO1aOpAQd9m/JwaFtC0d2BUt5m5UFqWu+fpGiMaiXASCKsOEJZSPd2l6THjhWAcPsa0TPsB1nlghHP3ume0GDXJfiOYiIiIiIiOIXA0BEREREREQUdb98+YbUdpKZYsQDt5QjPzNJGifj9Yk432yJ5i7SBjU8HpoAkEYQ8Bfv3IlPvGsXqovk0IFfFHGqcQh//50zePpU15pv1+vzS2NaAKCqUL7tKTYAxQ1l+0Y8NwABwKFteXjsL4/ho2/bDq0m9B897qjIxNtvqcCBrTl44JaKNV8/Nz1RCtpZ7W5MMWhHEeLz+zG6zgYgAEhPNuKeA8XS+q9f64DH61NtMzHlwgtnexdct5MNQEREREREmwIDQERERERERBRVTV3jqG8Yktbfd0+tNNLlUF2edPmpRo4Bo7URRRFnFcGxYAJAACAIAraXZ+JT79uH//fePdhami7fF4Df1XfB5/ev6TYHRqelEWVZqQnITZdPCM9vcKCNyeX2YWA25CUIgTapeCcIQlhv+01HyvCRt25H9hoDFACg0QgozJJbgPpG1t/etRoNnWOovzYIr29tzw0Uf8ZsLun5PtVsgNGgXfNt3H+wFGaTfvb2ZvDShX7Vz39zogNub+BYy8+UX/P6LHZ4vDwGiYiIiIjiHQNAREREREREFDVujw8/fq5FWr9pSw52VWVJ6wfqcqGZPZHc2juJMetMxPeRNq7zLSPoGAiMPdFpBeytzQ7ZbdeWpOOv37MHn35kH5ISAoE1t9cPi2K8y2r0WuQRRMU5ZpgTDdK6nQ1AcaF7eApi4Jw/CjKTpIAjRU9Rtlla7rOsfgxY/+g0vvO7Jvz6eDv8c3/UZbT3W/GlX1zB956+jufP9qxrXyl+WCbkRrrc9PUFUk1GHd56c7m0/vuTXdJrRd+IHa9fG5R+9vDdNciZDZX6/KLq9YaIiIiIiOITA0BEREREREQUcR6vD2evD+MrT1yBZXYchsmow3vvqlZtl5pkQF2Z3LJyumkIRKvh9fnxv6+2S+t37StGVura20JWUlWYivKCFGl9rSdYe4bl7Utyk5E82+wAAHY2AMWFrkGbtBzv4782iqIcOQDUO7LyY1YURbx6uR+f++E5nGocwu9PduNS68iK17uo2ObsdY6x3OyGxxXjv9LX/3p06+4CqS3O4fJK4yd/9Wq7FDbcXpGBurIM1XNO15Bt/k0REREREVGcYQCIiIiIiIiIIsIvimjpmcAPn72O//vf9fjmU41o7pmUfv7Q7ZVINRsXXO/wNnkM2OnGYYiraF0gevVSvxQuS0rQ4Y1HSsN2X8XKNpFVhAmUei1T0nJJjhnmRDkANOV0B79zm8i4bQYvnOtdU6NLJHQOyX/jsvyUZbakSCnOVowAW+F4ccx48I2nGvHj51qk0UoA0NQ1seL9tPVZpeVeix22aT6mNzNlQ1xuEAEgnVaDd9xaKa2/dKEPJ64O4Gr7GABAAPDgbVUAgHLFc07nIANARERERETxjp3DREREREREFHZX28fwkxdaMLrECK9bdhXg2K6CRX+2pyYLBr0Gbo8f/aPT6LXYUZLLFg1ammPGi9/Wd0nrbzxchqQE/dJXCJKyTaTPMr3q64mieiRLca4ZQ2PyiJgpNgCtydeevIbOwSloBAEP3FKO+w+VSiMEo0nVAJTP565YUKh4zA6MTsPvF6HRLDxWmrvG8e8/Oocx28LXrtbeyWXvw+3xLQhcXO+ewMG63PXtNG14yhFgOescATZnX202KgtS0D5gg9cn4gfPNEs/O7IjD8Wzx7gyANQ1OLXgdoiIiIiIKL4wAERERERERERhNWp14qu/vgqvT93ck5NmwpHteTi0PQ85aUt/Ez7BoMPe6mycbhoGEGgBYgCIlvPsmW7YnYHwTFZqAu7cVxTW+1tvA9C4zYXpGS8AINGoQ2ZKgrTfAFTLtLwx6ww6Z09u+0UR//taB653T+BDb6pD2iLNYpHimPFgeLb1Q6sRUKIInlD0pCQakJpkgHXaDbfXD8ukE3kZciDD7xfxyxdb8dPnm+H3y69dt+zKR/21Ifj8IvpHpzHlcCM50bDofXQNTcHnV7/uNXWNMwA0yzHjQWufFa29k2jtnUT/yDTqytLx52/bDp02Pkvr51rpgOAagABAEAQ8dEcV/u0nF1WX63UaPHCsQlovyTVDEABRBAbGpjHj9iLBwFMCRERERETxiu/2iYiIiIiIKKyePN4hhX9MRh0O1uXiyPY8VBakQFhlO8ehbblSAOjM9WG887bKRdsaiObGQM15+y0V0OvCezI5LzMRWo0An1/EqHUGjhkvEhNW/silRzH+qzjHDEEQkGySwwQMAK1eS+/CcUxNXRP4p++fxZ+8sQ47KzOjsFfq8V9F2Wboddqo7ActVJRjhrVzHEBgDNhcAKhryIbHn29VtfckGnX44P1bsH9LDvpHp9HeH/hZW58Ve2uyF739tr7JBZc1dU1AFMVVv/bFm9FJJ/5wvg8tPRPotdgxf6DnpbZRnGwYwi1LNAJuZH6/iBFFACh7meDzalUXpWFvTTYuto5Il91zUzEyUhKk9QSDDgWZSegfnYYoAj3DdtQUpwV930REREREFJvi8+sUREREREREFBO6h6ZwqnFYWv/Ld+7E+++tRVVh6ppOgNaVZSA5MTDCaWLKhZaehSf7iQDgyRMd8Hj9AIDS3GQciEDbhk6rQX6m3B7SP7q6FqDeYfX4LwAwJ8qjyqYcHoji/FPktJiWnklpuTjHjLlnlymHB1954gp+/lIbvD5/xPeL479il7K5q9dih2PGg5+80ILP/ei8KvxTVZSKz/zxTdi/JQcAVOGJ5caAtfVZF1w2ZptRhUCW4o/Dx70oinj0f6/iD+d70bNI+GfOM6e64fNH/rEabuO2GSkMnZJkgMkYmu/lvuPWCmhnA9Fmkx73HyxdsI3yuadr3lg6IiIiIiKKLyH5l4bP58PPfvYzPPnkk+jo6IDP50NxcTHe8IY34EMf+hCMRrlq+fz583j44YeXvK03v/nN+OIXvxiK3SIiIiIiIqIoEkURv3zlhrS+pzpr3d8612k1OLAlFy9d7AMAnGoaxtayjFDsJsWRXosdJ68NSesP3VEFTYSaNopyzOgbmQYQaBOpLkpb8To9FjkAVJITOEFr1Gth0Gng9vrh9fkx4/aF7ERxPFMGgB6+uwY+nx/f/n0TrHY3AOCFc73oG7HjE+/aHbFjAgC6BuUGoPL8lIjdL62sMDtJWj7XbMFrl/thc8itW3qdBg/eWYPbd+VBq5G/Q1lbnIZnT/cAAFqWCAD5/aIqAFSQlYSB0cDzQ1PXBHLSExe9niiK+O7vm3C+ZQQHtuTgwdurkJK0+Iixjaa934b+2edIABCEQEizpjgNVYWp+NFzzZie8cIy6cTZ6xYc3pYXxb0NveEQjv9Sys9Mwv95xw6ca7bgrn3Fi7bPleWloH72tVHZSkZERERERPEn6E+QfD4fPvrRj+LVV19FYmIidu3aBZ1OhytXruCxxx7Da6+9hh/96EcwmQL/sGlqagIA7NmzB0VFRQtub+/evcHuEhEREREREcWAhs5xXO8ONPVoBAHvvK0yqNs7tF0OAF1oseCRe2o4TodUnnj1htQqsbMyE1tL0yN238XZZpxGoO2qT3GSezk9w/KJ2JJcuY3EnKjHuM0FIDAGjAGg5Y3bZmCZPblu0GlQnp8CvU6Dz/7xAXz/6eu42j4GIBC8aO6eQF0Ew4NdQ4oGoDw2AMWS4hz5MTc07lD9bHt5Bv7Pu/egIMuMkRF1YKKqMA0CABGBx7DT5V3wGO0fnYbT5QUApCYZcMvOfPz85UAgtqlrHLftKVx0n1p7J6XWvPqGIVxqG8U7bq3ArbsLN/zYy9evDUrLB7bm4AP3bVH93vpHp/HU650AgKdPdeNgXW5Ew3rhZlEcYzkhDAABwM7KLOyszFry58rwYScbgIiIiIiI4lrQnyA98cQTePXVV1FbW4vvfOc7yM0NVGuPj4/jox/9KC5duoSvf/3r+Ku/+isAwPXr1wEAf/3Xf419+/YFe/dEREREREQUg/x+EU8o2n9u2V2A/MykZa6xsor8FOSkmWCZdMLp8qGhYxx7arKD3VWKE41d42joGAcQaJYINnC2VoXKcUIjK48Ac8x4MWqdAQBoNQIKsuTHR7LJoAoAZaeF9mRxvFG2/1QWpkKvC7S1pCQa8Jfv3Inv/K4Jp5sCoYqmrsgFgGzTbozN/h31Oo3qb0zRl5+ZBI0gqMZtpScb8Z47q7GvNhs5WeZFr5eYoENxrhk9w3aIInCj34odFZmqbdr6JqXl6qJU1JXLx9z17gn4/eKigZ7jVwZV6w6XF4+/0IoTVwfxyL21G7ZFyu3x4VyzPA70rn3FC0JTd+4rwvNnezDj9mFgdBqXWkewrzYn0rsaNsMTcgPQUg1Q4VKcY4ZWI8DnF2GZcGJ6xoOkBP3KVyQiIiIiog1Hs/Imy3vyyScBAJ/+9Kel8A8AZGRk4DOf+QwA4Omnn5Yub2pqgkajwdatW4O9ayIiIiIiIopR9Q2DUguKUa/FW4+WBX2bgiBgR6V8knVowrHM1rTZ/L6+S1o+uiMfRdmLn7wPF2WbSJ/FDlERKlhMnyIkVJCVBJ1W/ojGnCifmJ1SjCSixbX0TkjLtSVpqp8JgqAKETR1jUdqt3CjXx4BVZqbrPobU/TpdRrUlQdawjSCgPsOlODzHzqI/VtyIKzQPFOjGPHXusgYMOX4r+qiNBRmJUmjvKZnvOixLBzDND3jwfkWi7SenmyUlruGpvD5H53H48+3wDGz8Z4TLraNwOnyAQiMv6osXBhkMpv0uGOv3Bb/u5NdKz6PbiSWifCMAFsNvU6jek3s4hgwIiIiIqK4FfQnD+np6aioqMDOnTsX/KysrAwAYLEE/vHqdrvR3t6OiooKJCZG9psOREREREREFBkujw+/OdEprd93sASpZuMy11g95QlRq90dktuk6OoasuF3J7ukEU7r0T86jZbZk/AaQcDbbi4P0d6tXprZgKSEQKPFjNuHsdl2n6Uox38pw0MAkGySA0B2J4/zlTQrGoC2lCwc+7alNA1zeY7uoSlMRyhAoQwAVRWmRuQ+aW0+8pZt+NM31eFf/vQgHrqjatXj9mqK06TlxQNA8mXVxakQBAF1ZfKxeb1rYsF1TjcOw+P1AwBKcsz49z87hLfdXC4Fx0QAr1zqx3/+7DJ8fv+q9jNW1F8bkpaP7MhfMmB1z03FMMw2ePUM23GtYywi+xcJw4rQcm6EG4AAoDxfHkHYxTFgRERERERxK+gA0De/+U08++yziwZ6rl27BgDIy8sDALS1tcHj8aCwsBBf/vKXcf/992Pnzp2444478B//8R+w2fiPDyIiIiIioo3uxfO9mJgKjL1JTTLg3gPFIbvt1NkGBQCYtLtCdrsUHTNuL770iyt48ngHPvuDs2joXN/J3lcv9UvLe6qzkJGSEKpdXDVBENQtQLMNWEvpscgNQCXzAkBmExuAVmvcNiM1a+h1mkVHJCUl6FGWF7hcBNDcvTB8EQ43FC0wVUUMAMWixAQ9Dm/PQ27G2gIZygBQ56ANbo9PWh+zzkgj/IwGrfS8UFcqjwGb30QliiKOXxmQ1o/tKoBep8Vbbi7H5z90ANsr5Ot2D0/hxLxRYbFs3DaDps7Z8YwAjmzLW3LblCQDbtldIK3HSwuQ3y9iRBFyjcZYxzLFc2PXIBuAiIiIiIji1eq+1rIOoiji0UcfBQDcc889AALjvwDgtddew7lz53DTTTchLy8P165dw/e//328/PLL+NnPfoaMjPDMYjcYdMjOTl55Q6I4wmOeNhIer7QZ8bineMbje3Oy2l145nSPtP6++7eiuHBhI8d6lRbKJ9Ccbn/MHWextj/BEkURbb2TSEkyIC8zKeS3f/XGCOzOQMDF6fLhK09cxUfevhP3Hy5b9W04XV6capTbJR64vTpqf4fq0gypjWbc4V52PwbH5TaIHbU5qm3zFKNa/IIQ1ePK4/Xj2o1RlOanxOTx3aho/9laloGC/MWDNvvrctE523rRMWzHfTdXhnW/PF6faszOgZ0FSE+OfDCNgrfYcZ+dDRTlmNFnscPrEzHu9GJHQRoAoLFXDn5tLctAXm7gmLx5rw7ff+Y6gMCIsNS0RBj0WgDAjd5J9M6GAg06Dd50a5UUBMzOTsa/Vufgp8834xd/aAUA/PZkF954SyUSE+SwYKx69eog5iI8O6uzsKUqe9ntH76/Dq9eGoDX50d7vw1DNhd2rnCdWGeZcMDrC/wWUs0GlBaH7n3Rau2ty8MPn20GAHRb7Cs+n8fi8z1RqPD4ps2Ixz3FMx7fRGphGz7+pS99CefOnUNWVhY+9KEPAQCuXw/8I/fAgQN46aWX8O1vfxs/+MEP8MILL+Dw4cPo6urCP/3TP4Vrl4iIiIiIiCjMfv6HFjhdXgCBk6N3HygJ6e0rm13GbcuPWKLgvXCmB3/16HH8+X+8hN7h0DcGtCrCG0CgJeHrv7qC7/22AT7/6lofjl/qg2MmcMwVZidhZ3VWqHdz1UrzFA0LA0u3HHt9fnQrGhjKC9ShlRRF05VtOrojwL76xGV8+hv1+PhXXsPM7GM7ljQoRgRtr1z6b7+7Rg4QXGkdCes+AUB7nxVeX2BMU35WEsM/cWhbRaa03Kg4DpsUy3Xl8jbZ6SYUZgeClG6vH9cVLUAvnOmWlo/uKlC1gAGBhrEH76xBVmrgOJqccuE3r7WH6P8kfERRxEvneqX1O29a+T1BVpoJdyneO8yFnjaywVG5Ea4gy7zMluFTkpssjVcbnXRiYorvoYiIiIiI4lFYGoAeffRRfPvb34bBYMBXvvIVqdHnU5/6FB555BFkZ2fDbJb/sZORkYH/+I//wH333Yc//OEPsFgsyMnJCfl+ud1eWK3OlTckigNzideREdb6Uuzj8UqbEY97imc8vjcv67Qbz57sktYfOFaO8fHlxyCtlc8tj0Matzlj5jiLx+NeFEX878uBE69en4hnXu/A22+pCOl9NLTJQQyTUQunKzBG5zevtaOr34oPv6UOCYalP7oQRRG/PS6fBD+2Ix+jo/Yltw+3NJO8r+19k0seD4HWkEA4JDPFiJlpF2amFSPtZn8GACPjjqgdVzaHG69e6AMAWMYdeK6+A0d35EdlX5ZyucUiLRdnmpb8XWUl6WHQaeD2+jEwOo3rNyzISg3fGJ5zDfKIpvK85Lh6btgsVnpeL8mWW9EuNQ/jztnRVVdvyM9rhekJquvXFKehf3Y84Kkr/ShIS4DL7cMrF+SQzIHa7CXv8y1Hy6UWoV+/cgM31WQhzWxcz/9eRLT3W9E/EnhONhq0qF7lY+H2Xfl44XQ3/KKIqzdGcepS34Yeo9eqGG+ZbjZE7fmgONeM9v5AOPVCwyB2VS0MTcbj+xmiOTy+aTPicU/xjMc3xbNgmq1C2gDk9Xrxj//4j/j6178Oo9GIr371q7jpppukn+v1epSXl6vCP3Nyc3NRV1cHURSlUWFERERERES0cZxvtkitLRUFKdi9yImlYJlNemg1AoDAyCiXxxfy+6CA7uEpDI7JY6qUbRWh0jEot+R8/KHd2KNo77l8YxT//tOLmJhyLXZV6fo9w4GTy3qdBkeiHE4pzEqCMLs8NO6Ax7v48Tk36gcAinMWfqijbP+YckSvAehiywj8otzEVH9tcJmtI29iyoXhicAXvfQ6DSoKUpbcVq/Toro4TVq/3jUR1n270S+PgdrIwQVaWq3ieLrRH2h8mp7xSAEfjSCgYl67V11phrTcNPuceq7Zghl34LkiN92EGsXtzndkex6KZoNHLo8PT73eGYr/lbCpb5DHM960JQdGg3ZV18tOM+HQtlxp/fenukK9axFlmZC/kJqTHr7g4UrKFS11nYNLt9QREREREdHGFbIA0PT0ND7ykY/gF7/4BVJSUvC9730Pt95665puIysr8EGf08mWHiIiIiIioo3mzPVhafno9jwIgrDM1usjCAJSzfJ4JGuUxyPFs9ONw6r1jkGbNGorFCamXFK4x6DXoDw/GR97+w7cd1Ae/dIzbMe///QC7E7PorfxysV+afng1twFY3MizWjQSid3RREYGHUsul2PRf6GYnHOwi9JmRPl/4+l/t8j4ex19THQ3DOJ0RhqVm7pkUM8lQUp0OuWDxfUlaVLy03d4QsAiaKIG32T0npVIQNA8SgjJUEayeX2+NE9PIUbfXLwqzTPvCDwsqU0DXMvjV1DU5ie8eD41QHp57fsKlj2tVOjEfDQ7VXS+vErAxgYDW3TXqh4vD6caZKfQ25eY0DzjYdLpUDl1fYx9Fmi1+4WrOEJ+bUgqgGgfMWYyiF+U56IiIiIKB6FJABktVrxyCOP4MSJE8jPz8dPf/pTVfPPnM997nP42Mc+hrGxsUVuBejrC9RK5+XlhWK3iIiIiIiIKELGbTPSiU+NIGBfbejHOs9JTZLHnVjtS7fD0Pr5/aLqxC0QCLQoAxfB6lK0D5TlJkOr0UAjBE5uf+C+WqnpaWRyBl9/8po0MmuO3enB2evy+Kfb9xaGbN+CUZQtB3p6lzhh3T4g/7+X5C4MACUnyiG3KUd0AkCTdhdaeiYXXH5S0egRbS29k9JybUn60hvOmt++omw3CqWRSSdss383k1GHgqykFa5BG1V1UZq03No7iTZFAEj5szlJCXqUzbawiGIgxDj32qnVCKtqMdtWniGF2UQR+NWr7StcIzoutY3C6QqERrPTElC9xias/Mwk7KnJltYbw9BCFynKBqDc9MSo7UdZvtw41zVogxim50AiIiIiIoqeoANAbrcbH/7wh9HY2Iiqqir8/Oc/R01NzaLbXrp0CS+++CJefvnlBT9rbW3F9evXkZaWhm3btgW7W0RERERERBRByiDG1rJ0pCQZltk6OKmK27ba2QAUDte7JxZtV2oK4dgk5fiv8nmjm27dXYiPvHW7tN7cM4mfvdSm2ub1q4NSKKg0L1nVbBBNRYpGn76RhQGggdFp6YS/IACVi7TDJCXopOXpGQ/8/sifpD3XbMHcvZqMcovJyWtDMXPSuFkRUNpSkrbi9sW5Zqklasohj2oKNWUIpLIwBZowtKFRbKhVHHdtvVa0KZqfFgsAAeomqt/WyyO8dldlqV7fliIIAh68rUpqx7l8YzSk4cxQeV0xMvDo9vx1tQJuU/yuNurIKr8owjIZGyPAcjMSpedzm8ODcRtD1ERERERE8SboANBjjz2Gy5cvIz8/H48//viy7T3vete7AABf/vKX0d4ufztlfHwcn/rUp+Dz+fChD30IBkP4PigmIiIiIiKi0FOOCjqwJXztPwCQphgBNskGoLA41Si3vChHVDV1h66BQXkyd7Hwzr7abDxwS4W0/srFfrxyKTDyyy+KePWyPP7r9j2x0f4DqBuAFgsAvXpJ3u/dVVlIMxsXbKPTapBoDISARDEQAoo05WP6ffdtlUJJlkmnKuASLRNTLgyPB8bq6LQaVBSsHADTCAK2lsqBguthahRp71e0wHD8V1yrKU6Tllt6J1XPa0s13tSVyU1UXp8cpju2q2DV91ual4xD2+TPYH/5SnvMBPOAwOOzsVN+fB3Zvr62d2U4tGNgYwaAJqdc8HgDYVWzSY+khOiNqtQIAkpzFS1AQxvzd0pEREREREvTrbzJ0iYmJvD4448DADIyMvCv//qvS277xS9+EQ8++CDq6+vx/PPP461vfSv2798Pk8mEM2fOYHp6Gvfffz/++I//OJhdIiIiIiIiogizTDjQNTQFIDDCZG9t9grXCE6qIjCxWEsNBcfl8eFC64i0/vDdNfjizy/D6/NjcMyBcdsMMlISgroPvyiic3BKWq9Yor3nTYdL0T9ilxqm/ucPrcjPSITX75dGqpiMOhysyw1qf0KpOEce99Q3bwSYy+1DvWKE1nJjy8yJejhmx+fYnR7VWLBwG7U60d4fODGsEQTcurcIvRY7njvVBQCovzaoCj5EQ0uv3HhSVZgCvU67zNayurJ0nGsOHE9N3RO450BJyPetTREAqmIAKK7lppuQkmSAbdotjbsCAk0rSzXhVRWmwKDTwO2VxxpmpBixvTxj0e2X8sAt5TjXbIHX50fnoA3nmi04sDU2ngtPNw5hLo+0pSQNWWnra70pyjZDp9XA6/Nj1DoDm8ONlAg+F4aCcvxXNNt/5pTlp0jtaZ2DU2Ed2UpERERERJEXVADo3LlzmJmZAQA0NjaisbFxyW2/+MUvQqPR4NFHH8UvfvELPPHEE7h06RI0Gg2qqqrw0EMP4Z3vfOe66mCJiIiIiIgoepTjv3ZUZIb92+2pZo4AC6fLbaNwuX0AgLyMRFQXpaK6KBXXuwOBi+vdEzi6Iz+o+xged0gny5MT9chMXTxQJAgC/ugNWzE84UT30BR8fhFf/00D8jMTpW2O7siDUb+68EckZKWZYNRr4fL4YHN4YJ12S2N9zlwflv6/c9JMqiaQ+ZIT9dKJ4ymHB/mZ4d/3OXMBGQCoK09HqtmIO/cXSwGgc80WvPfumqj+3lsV479qS9KX3nCerYrfeUvPJLw+P3TaoAuyJY4ZDwZmR4tpBGHBeDuKL4IgoKY4DecVjxlg6fYfANDrtKguSkWjYqTizTvyodGs7TPRrFQT7t5fhGfP9AAA/ve1duyrzYZWE7rjeT3cHh+OXxmQ1oN5vdBpNSjNNaN9tv2na9CGnZVZQe9jJA1POKTl3BgIACkb99gAREREREQUf4IKAN1zzz1oaWlZ03UEQcC73/1uvPvd7w7mromIiIiIiChGqMZ/bQ3/N8nTkuQGoMlpjgALtdOK8V+HtuVCEATUlaVLAaCmruADQPPHfy33ZSCjXov/8/Yd+OcfnYdt2g2706MaQRVL47+AQOijMDtJGlfTZ7EjdbbZ4xXF+K/b9hRCs8z/d7JJDrrZnZEdAXa2SQ4zHJxtFKktTUduRiKGxx2YcftwsXUEh7etb6xPKDQrA0BraCPKSTMhKzUBo9YZuDw+dAzYQtpm1D5gw9wgpuIcMxIMQX30RhtA7RoDQEBgDNhcAEgAcPPO9T2nvvFwKY5fGcD0jBcjkzPoGbYvOlIxUnx+P775VCOGZ8OLRr0W+4JsBSzPT5ECQB0DGy8ApG4ASlxmy8goy1OMABucgiiK/EIuEREREVEcie5XQoiIiIiIiGhD6x+dRt9s24Vep8GuqvCfmGMDUPhMOdxo6ByX1g/NBjyUTTVN3eMQ52a7rFPnwMrjv5QyUhLwf96+Azqt+iTllpI05GcmLXGt6CnKNkvLfSOBMWCdgzZ0z47K02k1K57wN5vkJq1IBoCGxx3oHp7bTwF7qgMn7wVBwM075MBP/bXBiO3TfJN2F4bGA60aOq0GlYVrCzyojueu8WW2XLsbinBa1QohEIoPiwXIaooWXqa0qyoLc5mLXVVZyEpdXzNMYoJedTzPPXajQRRF/OjZFly+MSpd9o5bK4IOwSlbtJSjIzeKuRGpAFTtddGSlZogvb44XF5ViyPFPq/Pjxm3d+UNiYiIiGjTYgCIiIiIiIiI1u2cov1nV2UmTMbwt13MjVMCAKudDUChdK7ZAp8/EO6pKkxFTlrgpHRpbjISZ/+2VrsbA2OOJW9jNTqUDUCrHJFUWZiKD9y3RXXZHXuLgtqPcCnOUQSALIEA0CsX5fafA1tzVAGfxZgT5Z9POSIXdFM2eu2oyERigvyYPrwtD3MRrOtdExi3zURsv5RaFO0/lQUp0OvWNoqsrkweGdakGMMUCjf6FQGgQgaANoPC7CTp+REAUhL1yFlh1FNBVhI+9sAOvPFwKT5w/5Zlt11JSa78fNMzbA/qtoLxq9fa8boiGHj/oRLctb846NtVhkQ7B21BB1Ajyef3q17vKgui/5wgCAJ2K8LaP3jmuhROpdg2NO7AJ75aj098tR7tA9aVr0BEREREmxIDQERERERERLQuoijijOKb4wdmRwWFW0qSQQohTDk88Pn9EbnfzeDUvPFfczQaAVtLlaGJ9bemeLx+9Frkk41rGVdzdEc+HrilAhpBwLaydOyujs1RMEXZcitR74gddqcHZxTBmtWMLUs2KQNAkWsAOrvMYzojJUEKz4gATjYMIRpaeiel5dqStDVfX3ksdwzY4HSFpk3B5/dLo9+AlcdAUXzQCILqb11dnLaqkUp7a7LxjlsrVaHW9SjNlUc69USpAei5Mz149nSPtH7zjny889bKkNx2TrpJCljZnR6MWKMTPFyPPss0XG4fACA92YjM1IQo71HAu+6sQm5GoI3I7fXjv399FdZpNirGut+c6IDd6cGM24dTUXr9JSIiIqLYxwAQERERERERrUvPsB3Ds2N4jAYtdlZmRuR+dVqN1I4iArBNRy4cEc8sk0609wfCC1qNgJu25Kh+rmxNuR5Ea0rfiB1eX6DBISfNtGITznxvPlKGb/zVLfird++BThubH2sUKRqABkanceLqADzeQFCtJMeMilW0HikbgCI1AqxvxI7+0cBIP4NOg11VCx/TR3fIo8vqrw1GpY2jpUc+/mpL0pfZcnHJiQapNcUviqpGoWD0Wabh8sgn+zNSYuNkP4WfMowYqdfCOSWKAFCfxQ6/P/SPSb9fxLhtBl7fwsBt/bVB/PKVG9L67qosfOD+2lWFoFZDEAT1GDBFyC7WxWojWFKCHn/xjh1Sa+O4zYWv/fqa9DpFsWdk0olzzXJAd2KKDZhEREREtLjwd7MTERERERFRXDrbLDea7KnOgkG/tjE8wUhNMkitKNZpF9KTjRG773h1WtH+s708A8mJ6laKurIMabm5ZwJen39dAZxOxTiUsvzkZbZc2lpHPkVaUoIe6clGTEy54PWJePpkt/Sz2/cWrurEeLJJ/v1HKgCkbP/ZVZWFBMPCj4321GTDZNTC6fJheMKJ9gFbRE9s26bdGJwdQafTCqhc5Qi5+erKMqRxSU1d4yFpk4rVk/0Ufsd2FsDt9UMAcHR7/orbh1JKkgFpZgMm7W64vX4MjjtQmJW08hVXye704J9/eA6j1hkIANKSjchMSUBmagLMCXq8ckkeb1hdlIqPvHUbtJrQhjPL85PR2BlonusctOFgXWQaB4MVy88J+ZlJ+LO3bMOjv7oCUQzs6+PPt+BvPnBTyMJbG0XP8BSs025sK8uARhOb/+8vnOuFMm87yRG4RERERLSE2PyqHBEREREREcU0URRxtiny47/mpJrlwM+knWMrgiWKIk43yoGuw9vzFmyTk25CZkrg9z7j9qFrcH2jZpTtDRVrGP+10RQrWoAcsyOmTEYtDtUt/N0uRtkANOUI/zEuiiLOKsaUHdias+h2Rr1W1Q5Vf20w7PumpDyhXpafsu7goarRqnv9jVZKqpP9HP+1qWg0Au7eX4y79hdHJUBQEsYxYK9fHcTo7NgtEYHmkRv9VpxpGsZLF/vgn00lFGUn4S/fuTMsYWDlqMiOwQ3UANQX288JOysz8eBtVdL669cG8dsTHVHco8jrtdjxuR+dx5d/eQUvX+yL9u4syu704MTVAdVlbAAiIiIioqUwAERERERERERr1jFgw5gtcEIw0ajD9vKMFa4RWmlJcjuKbZoBoGB1DU1hSDHObVfVwjYUQRCwtVT+Ozd1ja/rvpQnb8vX2d6yERRlmxdcdmRbPoyG1Z0cTzYpA0DhbwDqGbbDMuEEACQYtNhRsfQYI+UYsLPXh6WxV5GgOqEeRKNGdVEadNpAUKN/dDokbQo3+ial5Vhr+6D4pgwA9c42W4XKpbaRFbfJSk3AJ961G4kJaxvpuFrKAFDP0NSio8hizcSUS3qfZNBrVKHQWHLvgWIcVYR+v//bBlxssSxzjfhy9vowfLNj8660j0V5bxb3ysU+uD3qY9467Q7LuD8iIiIi2vgYACIiIiIiIqI1U44K2lubva5RUMFQNwDxW9DBUrb/7K/JhnGJBgdla0rTOlpTHDNeDM2Ob9IIguqkdbwpyl44gue2PQWrvn6yogEoEiPAzlxXjvTLXrbFo6owFTnpJgCA0+XDs6e7l9w21JQtO9VBhGyMeq0qpNPaOxnMbmHcNoMxW+C5KJZP9lN8Ks2Vj7fuEDYAWafdUuhOEID/+thR/PtHDuOv37MHf/yGrXjrzeV44+FSfOp9+5BmDt8ozjSzERmzDXRurx8Do9Nhu69QUT5XVeSnRPx90moJgoD331crjVP0i8AXHj+/ad5bNSveywyOxd5x5fH68NKFhc1Eohh4fBIRERERzReb//IgIiIiIiKimOX3izjbLIcFDkZ4/BcApCoagKwcARa0lh75BNiBuqX/nlvL5Aag9n4rZtzeNd1P95ANc99XL8pOWjJoFA+K5gVAaovTULhIK9BSTEYdNEKgoWbG7YPHG77GC1EUcb5ZOdJv8fFfcwRBwL0HSqT1p091R+SEvMfrR9eQ3CBVGWTLTpmiVSTY/d8oJ/spPhXPGwEmiqFpBrncNiI9Z1cXpiI92YicNBO2lqbj5p35eOvN5XjHrZVITw5f+GeOsgWocwOMAWtTNIIF+1wVbnqdFh97+w7p7zjt9OC1ywMrXGvjc7q86FSMMx23ueB0re19TbjVNwzBNtsCmJFiREGWHC7eLCEtIiIiIlobfhpBREREREREa9I1NCWFbpIT9dhSmhbxfUg1ywEgngAJjt8vYnB2/BegPsk6X2qSQWq28flFtPZal9x2MZtl/BcA5GUkQqsRpPXb9xau6fqCIMAcoRagUesMRq2BUTUJBi22rWKk3627CqTGCJ9fxI+ea4Y/RKGDpXQPTcHrC9xHbroJKYog4HoUKk6k9ocwAFRVFNsn+yn+ZKcmwGTUAQCmZ7wYt4XmdfFi66i0vLcmOyS3uV4VGywA1K5sK9sAzwlpZiPedUeVtP761YG4HzHV2ju54HVrSPF+KNr8oojnz/ZK63fvL0ZmSoK0PjnF979EREREtBADQERERERERLQmwxPyyZGa4jRoNZH/p6Vy1IiNIxCCMmp1Su0yqUkGmE36ZbevU7QANXWNr+m+lN+0Xy5oFA90Wg321QZOmBdmJ63r5Hmy4m8x5Qjfca4Mr1QWpq6qvUajEfCB+7ZIIae2PitOXAlvY4QqZBOCRg1lk0LQDUB9od03orUQBAElitaxnhCMAXO6vLjeLT/HRzsApHzN6BgI3ZizcHB5fOgZtkvrFQUb4zlhT3U2khMDwcoxmwuNa3yN32iaexaOMo3keDmP148zTcOqsJjS5bZRDM8GkkxGHW7ZVYD0ZDn4OsEAPBEREREtggEgIiIiIiIiWpNx24y0rPwmciSpG4AYAArGwKgc6FIGIpZSV5YuLTd1LTx5thxla0NFnAeAAOBP31yHT71vLz718L51jYRKjlAD0HqDNUU5Ztx3UB4F9stX2sPayKUcqROKlp2CTPl4Hx53rnvMmsutPtkf6+N+KD6VKMaAdYcgAHS1fUxq3CrJMSMrzRT0bQajNC8Zc51q/aN2uNy+qO7PcroGbfDNtucUZCWtGKyNFXqdBnfeVCytHw9zqDParncvfA8zOBa5BqBfH2/Ht37biH95/AK+/uQ11ftrAHjuTI+0fNueApiMOlUAfoINQERERES0CAaAiIiIiIiIaE3GFSccMqIVAFKM/rFOuyCGefRQPOsflYMLykDEUgKtT4HTsH0jdlhX2cA0MeWSTlYZ9dpVhY02Oq1Gg+qiNCQm6NZ1feVJ47AGgPrWP77qzUfKkDMbDHC6vPjZi20h3bc5oiiqWhJC0bJjNGiRlRp4DvOLotS0sFZtffIYmYKsJCQlbIyT/RRfSnKVDUD2ZbZcnYutI9JytNt/gEADytzrhiiGJuQULupQ5cYKu959QA51Xm4bjduWRbvTg95FHieDY5FpAHJ7fKqA1fmWEfzdd87guTM98Pr8uNFnlY4jrUbAXfsCway0ZDkAxBG4RERERLQYBoCIiIiIiIhiRP/oNE42DMb0t9oBYNwqf0M5Q3EiIpISDDoYDVoAgNcnYnrGG5X9iAfqBqDEFbdPMOhQWSCf0Dx+uX9V96Ns/ynNS4ZGIyyzNQGAOVEOuk05whMAcrq86BsJnAQVhLU3Mxn0Wrz/vlpp/VyzBZdvjIZ0HwHAMumEbfZ3kGjUIT9EAbJCxe30r3P0y8nGIWl5m2JEHlEklSoagHoswYVjPF4frnaMSeuxEAAC5o8Bsy2zZXS1qUYCpkVvR9ahJC8FW2efx3x+EScbhla4xsbU0jOBueh4olEO6UZqBNjFthE4Xer3+y6PD7985QY++8Nz+OUrN6TLD23LRfrs++10RQPQJBuAiIiIiGgRDAARERERERHFAKvdhX97/AK++/vr+MkLLdHenWXFQgMQAKSpWoDi8xvqkTCg+Lb7alt5tldkSstPnujEz19qg9+/fAvTZhv/FQrKBqApR3iO8Y4BG+YKtIqzzTAZ195WVFeWgaPb86T1n7zQghl3aEN5ypaiysJUaITQBMgKsoMLADldXlxskZtSju7IW2ZrovDJy0yURg2O21xBtYY1dU1IYeScNBMKs2Ojsa1cET5VvqbEEv/8trIQjCuMtHsUox2PXxmIy5bF5u5JafnIjjxpvJxlcv3jINei/pocrDpYl6sOo45Mq1qk7lO0MqUrgvcTHIFLRERERItgAIiIiIiIiCgGnGwYgsMVOGHepvjQPxaN2+QGoMyU6DQAAUCq4lvQVo5BWBe/KKrGXaw2AHTX/iKU5cltEy+c68VXf31t2dCHsq1BeRKXlpYcgRFgypOMlUGcqH7ojiopsDRuc+HJ451B75vSjTCdUFeedF1P88O5ZgvcsyeLi7LNKFG0sBBFkk6rQZEiqBPMiKxLberxX0KIAnfBUoZHwx0A8osiLBOONYdfhsYcUiuh2aRHbropHLsXVjfvKkTCbMvi0LhD1WgUL673TEjLu6qykDk7DlIUgeGJ9Y2DXK1x2wyaOscBAAKAd95aiX/6o5vw0O1VMOq1qm13VmaiMFse75fGBiAiIiIiWgEDQERERERERFEmiiJevzYorYdr1E8ouNw+6cSWViMgWdHCE2mpygYgfgt6XcatM3B7AuGF5EQ9khNX9/dMMOjw/x7ei32KsTCXb4zi339yURUQmzNpd6FrSBEAymdIYjWSEyMQAOqblJarC9cfrElONOA9d1ZL6y9e6EWfxR7MrqmoAkBB7Od8hVnyidX1NADVK567b2b7D0WZMoDWs84AkN8v4lKbPMYvVsZ/AUBhdpLUcjRqnYEtjO1/33iyAX/7rdP4xlONa7re/OeqWAlPrUWCUYdDdbnS+vErA1Hcm9Cz2l1S4FOnFVBVmKoKQId7DNipxiFp/NiW0nRkpiZAp9XgvoMl+Jc/PYh9tdnSvr315nLVdc2JemhnR6g6XF64PLE9NpiIiIiIIo8BICIiIiIioijrHJzC4Jj8bWOnywuvL/zjB9ZjfEoOd6QnG0M2hmc9Us1yWGVymt+CXg/V+K/MtY14Meq1+PMHtuN+xaiQHosdn//xeTR0juFkwyB+8Mx1fOpbp/CJr9bD6QqcpEpJ1CMziqPjNhJzonIEWOgDQH6/iHZFM1OwwZpD23JRV5YOINCicLZ5OKjbm+OY8WBgJHCsagQhpCPk8jIT5dEvEw54vKs/mTo8ITdjaAQBB7cxAETRVZorB9p6h9cXwLvRb5Web1KTDKgojJ3GNp1Wg9I8+f8xXC1AE1MuXGgNtCCdb7bAMbP651/luMKNOP5rzrFdBdLyWn8HsU7Z/lNRkAqjXov8zETpMuV78lATRVE1/uvmHfmqn2ekJOBjD+zA5z90EP/24cMon/d6pxEEtgARERER0bIYACIiIiIiIoqy+obBBZfFagvQuE0+0ZAR5RBHmmoEGBuA1mNgVD7JtdrxX0oaQcCDt1fhg/dvkb6RPml340u/uILv/v46TlwdxPCEU3WdbeWZG7IRIRqSTXLILRzPCX0jdsy4A4GXNLNBGoGyXoIg4LbdhdJ6U9fEMluvXvuATWpLKM41w2jQLrv9Whj1WmSnBUb0iOLaTvyeVJzE3VmZqWolI4oGZQPQekeAXWyVx3/tqc6KatB3MeURGAPWpmhGA9SvlSsJV1tZpJXlJaM4JxC2cnv9ONMUmkBnLGjunpSWt5YGQqvKELRyNGqodQzYMDQeOJ6MBu2SDVsFWUlLvianJSsC8ByBS0RERETzMABEREREREQURR6vD2cXOaky5YjNQItyvFNGinGZLcNPNQIsjGNA4plyzMV6AkBzbtlVgI8/tAsmo27Rn+u0GtQWp+GBY+V4+O6add/PZmM2KUeAhf4Ybw/DqJotpelSo07noC0krRFtfeE9ob6e0S9+UcRJRXjzKMd/UQwoyjFj7mE8NO5Y83ggURRVAaBYGv81R9kA1hGmAFBL76RqvX90dW1KUw63FO7QagSU5W3ccZeCIOAWRQvQa3E0Bqy5Ww6nzgWA8lWvA+FrAKpvkIOjN23JWVegNV0RgJ9gAxARERERzbP4J3NEREREREQUEZdvjGF6xrvg8phtAFKcaIj2GCd1A9DGPwHi8/vxv692YHrGg3fdUYXEBP3KVwqSegRY4jJbrqyuLAN/98g+fOu3jRi1zqCiIAU1xWmoLU5DeX4K9Dp+B2mtlCPA7E4PRFEMaXtSmzIAVJQWkts0m/QozUtG19AURBFo7pkMOkSgDCpVh2GkTkFWEi7fGAUA9K8yANTSPYGx2Ua0pAQddlZmhXy/iNbKqNciLyMRg2MOiCLQZ7Gjcg2huV6LHaPWQNDXZNRiy2w4IpaUFygagAZsIX9eBIDWBQGg1T0vtPfLgaSyvGQY9KFrK4uGQ9ty8ctXbsDj9aNn2I7uoSmUbuBQEwCMWWdgmQw0Exp0GlTMHk/K90BD4w74/SI0mtAeV/ND//PHf62WagQYGzCJiIiIaB4GgIiIiIiIiKKo/trC8V/ABmkASo6dBqB4OAFysmEIz53tAQBotRq8/97asN6fKIohawBS3sZn//hA0LdDAUa9Fga9Bm6PH16fiBm3b8mWpfW4EaZmnbqyDHQNBcYPXe+aCCoA5PP70TEgn1QPRwNQ4ToagJQtDofq8hhwo5hRkpssjbLrGZ5aUwBI2f6zszILOm3sHdc5aSYkJegwPePF9IwXPcN2lOSaQxYCsjs96B9RPw+s9nmhrX9SWl7L7z1WJSXosb82G6caA6GV41cG8EheeN+bhFtzj9z+U12cJh3jiQl6pCYZYJ12w+vzY8TqRG56cMHo+S61jcLhCoT+s9MS1h1oTU9mAxARERERLS32/hVHRERERES0SUzaXWjoGJfWd1RkSssx2wCkCAClR7kBKNUcXyPAlMfC6cYhuNxrG92yVhNTLszM3kdSgg4pikAVxY5kxRiwKWfonhcm7S6p6cOg06Ak1xyy264rk1tDmrrHl9lyZX2WaWmMUUaKERlheN5Z6wgwp8uL8y0Waf0Ix39RDFE+lruHVze6ak6sj/8CAqOpyhVjwD77w3P48/96DZ/+9mn81y8u40fPNePVS/3w+vzruv22ee0/wBoagPrC21YWDcoxYKebhtY8Vi7WXFeM/9pSkqb6mfK1YDAMY8Dqr8nB0aPb89cdWktTBoDioAGTiIiIiEKLASAiIiIiIqIoOd04DL8oAsDsmCR5rMKUMzYDLcoRYNFuADKb9NDOjmdwurxwb+CTUn5RVH0rfcbtw9nm4WWuETxl0CE/KynkI1QoNMwmOZhlD2EwUNn+U5afEtKmj+qiVKkRZ3DMoQoOrlVb36S0HI72HwDIz0zE3OFvmXTC413+ueR8iwVuTyBcUJiVhLINPhKH4ktJrnw89gxPrfp6lgkH+mabb3RaDXZUZIR830Kldl5ww+31Y2jcgcbOcbx2eQA/fr4Fz57pWddttywSALLa3ZieWf751+vzo3NI/n2H6/kq0mqK05CbbgIAOF0+nFK0n200oiiqAkBbS9XHeL5iDNjg2OpCX6s1MeVCQ+eYtH5k+/qDo+oRYAwAEREREZEaA0BERERERERRIIoi6hvk8V9Hd+QjOVE+0R+LDUCiKGLcJp9oyEyNbgOQIAiqFqDJDdwCNDAyveBvfuLK4uPhQnafyvFfmcGP/6LwSE6UG4DsIQwG3ugPX1OFXqdV3abyhOtaKfczXCfUDXotstMCJ7hFEdL4pKWcVLY47Fh/iwNROJQqAkB9I9OrbsJ54VyvtLytLB0JhtCNGwy1O/YW4bY9hSjKNsNk1C66zfHLA1LIei1aFQEg5UN7/liw+bqHp+DxBn7X2WkJSDVHNyQdKoIg4NbdhdL6U/WdYW8oDBfLhFMamWUyalGap26+y89c+zjI1TrdNIS5w3FLSRqyZl9z1kM5AmySI8CIiIiIaB4GgIiIiIiIiKKge3hKOplk0GuwrzZbdaI/FgNADpdXGv1g1GuRaIz+ycFUxdgq6wb+FvRiAYkb/dZVjx1ZjwHFt9uVYy8otpjD9LygDNZUhiFYU1cmNys0da1/DFi7MgAUxpE6hYrHwHKPO8ukU2oIEQTg0LbcsO0T0XqYTXpkpAQCAl6fH0MrBNqAwPPBKxf7pfVjirFPschk1OH999bin//kAL728Vvx1f97DJ/5o5vwf96xA0kJgfcmY7YZVdPZajhdXnTPtiYJUI9mXSkQohz/FS/tP3Nu31uItNnAtdXuxvPn1teuFG3XFU2LtcXp0GrUp0YKFA1AA6t43KyWKIrq8V878oO6vTRl+N3ugriOoBsRERERxS8GgIiIiIiIiKKg/qp8ImB/bQ5MRt28BqDYa7MZs8pjfDJSjDHRepGaJH8L2mqPvd/ZainHfxn08j/VT1wZCNt9DozKJ7cKGQCKWWZT6ANAbo8P3WEeVVNXli4tN3VNrOsE5bhtBmOzrWMGvQbFOeYVrrF+yhDccif6T16Tm7l2VGSqRrEQxYqSHLkFqHuFMWBenx8/eq4Zc4/QnZWZ2FOdFca9C73EBD1KcpOxpzobN23JkS4/3bi2cVXt/VappaUox6x6blwpkNsWgbayaDHqtXjbsQpp/dkzPbBuwNbFZkXYektp+oKfK18HBsemQxas6Rqakl5XjHot9tVmB3V7CQad1Hzl9YmwO2PvSwObAYNXREREFKsYACIiIiIiIoowj9eP000Lvwkc6w1A44oxAxnJsXHSW/kt6I14MgoA/H4RzT2T0vo7bqmUlk82DEkjRUJJFEX1CDAGgGJWskk5Aiw0zwtdQ1Pw+QMnrvIzE1Uho1ApyUmWmjis0+51jVNRthRV5KcsaGsIJVUD0BKjfvyiiJMN8nP3ke15YdsfomCU5MphuZ5h+7LbPn+2R9VI+L57amIi4Lteh7bJj8tzzZZVj0ADILV7AUBNcZrqeWG55zBRFFVtQ1VFaau+z43i5h350u/D5fbht693RnmP1kYURVXb4paStAXbpCQZpHbLGbcPkyEKltcrgqP7a7NDMl5PGT6d4BiwiHJ5fPi3n1zAJ75aj0utI9HeHSIiIqIFGAAiIiIiIiKKsKvto5ie8QIAMlMSUDt7EiLWG4AmbMoGoIQo7oksVXECZHKDjgDrHp6C0xU4HtLMBty5r0ga32J3enCpLfQnF6zTbjhm79Nk1KqCVBRbzIrnBbszNM8LNyLQVKHRCKqGhaauhWPuVqI+oR7eRo3VNAC19kxidLYJLdGo23AtKbR5lObKDUA9yzQADY878NTrXdL6249VICvVFM5dC7uqolRkzr5HmZ7x4lr72Kqv26YIANUWp6Ege3UBoFHrjBRCNhm1cdmqp9EIePB2OaD82uUBDI6Fb0xpqPWPTkvherNJj6JFGuUEQUB+lmIMWAjGsHq8fpxpGpbWgx3/NSc9eeO//92oTjUMoa3PCuu0G994qiGoMadERERE4cAAEBERERERUYTVX1M3SGhmv2lvNsnfCJ6e8cLnD33zSzBUDUCxEgBKUjQAbdARYPNHUmg0Am5WnCAKxxgwVftPZtKGbnuId8lhGAGmCtaEcVRNXVmGtLyeE2TqoFJaKHZpSfmZiZh7GIxMOuHy+BZs8+rlfmn5QF0u9DptWPeJaL1KlAEgi33RUTWiKOLHz7dIDTmlecm4c39RxPYxXDSCgEPbcqX1U4rwxXI8Xh86Bm3SenVxGrJTTdDrAh+fW6fdS7awqdrKClKh0cTna+qOikypOccvivjf1zqiu0NrcKltVFreUpImvfeeryBTEfoKQcDpyg059J+VmoCaRZqH1iNNFYDfmO9/N6prHXKo0OsT8d+/voauIdsy1yAiIiKKLAaAiIiIiIiIIsgy4VB9cHxkhzyqQqvRSCNzAMDu9EZ031YypmwAipERYKlxMALseo8cANpaEmhMObazAHOnphq7JjAy6QzpfSoDQPlx2FQQT5SjAUMxAkwURXWwJozNOnVlcgNQc+/kmkbxDI07VKOLKgtTQrpv8+l1WuSkB5ofRABDYw7Vz63Tblxokdu4bttdENb9IQpGRopRej/hdHnx8sX+BY+/kw1D0kgkjSDgg/dtCeuYvUhSjgG73DYKx8zK76c6Bmzw+gJBqbyMRKQmGaDRCMjPXLkRJlKhymgTBAEP3l4lrV9sHUGrojUpVtmdHjx3pkda31m5dHtbviIANDjvdWA9lOO/lKH/YCkbgDgCLHK8Pj+autWNhi63D1/+5RUMjQd/vBARERGFQnz8q46IiIiIiGgDGJ5w4As/uwSfP3CCqaooFbnpiaptYnkM2Lgt9hqAlN+Atm7AEQhenx9tvfKJw62zI5MyUxOwrUJuT3n96uCC6wZjfgMQxS5ziBuAhsYdUpAoKUGHvIzEFa6xfjlpJmkUj8vtQ9fg0qOIlOqvDeKzPzgH/2xrSVF2EpIS9CtcK3jKsT39o3bVz16/OiA9d1cWpqgaVohijSAIKMuTj9Gf/qEVn/rWKbx8sQ8erw82hxs/f6lN+vndNxWhNC9+junCrCSU5AZGPHl9flxotax4HWWQpaY4TXVbc/qXCgBFKFQZC8rzU3CwTm5YeuKVG4s2TMWS35/skkat5qabVA1R8xWEcASY1e7CtQ65/e7I9rxltl4b5ftfBoAip63PCpc70BCYmmSQgpZTDg/+6+eX+bcgIiKimMAAEBERERERUQQMjk3j3396UQrR6LQavPPWygXbKds+QjXuJ1TGlQ1AKTHSAKQYATa5ARuAOgdt0qihrNQEZKWZpJ/dslNuGHn92iD8/tCdYFMFgNgAFNPMilBgKBqA1GO1UsM6/k0QBFUL0EpjwJwuL77zu0Z87+nr0uNCp1U3ToRTwRIn+v1+Ea9eksd/3b6nMCL7QxSMNx0pU7UKjtlc+MkLrfibb57Cf//vVWksUWZKAt52c0W0djNsDtXJYYvTjSuPAVMHgOQQj/J5YWBkYSDE6fKibyQQGBQEoCI/vG1lseDtt1RApw28drQP2FTtaLFmZNKJly/2SevvvK0SOu3Sp0TUDUDBBYBONQ5LQdaaolSpZS4U1CPAGDqJlAZFi+vemmz85YO7YJgdEzhmm8GXfnkZ0zOx9e83IiIi2nwYACIiIiIiIgqzvhE7/uOnF2G1BwIqBp0G//fBnapvmM+J1QYgvyiqvtWakRwbDUApigDQ1LQbPv/qRwzFguuKMQJbStNVP9tdnSUFwiamXGjoHEMoiKKoCjcov+1Oscdskk/gTzs9QQfBVKNqItBUUVcmN1ktFwDqHLThsz84h1OKE/W5GYn4u0f2Y0dFZlj3cU7hEif6r3aMYWw2vGk26XHTlpyI7A9RMGpL0vGFPz+Cd95WqQoXW+1utPfbpPVH7q2F0aCNxi6G1cG6XGmUZnP3xLLNHF6fHzcUvxPl+7OCZZrBgMDosLkCnOJsM0xG3YJt4k12mgl37C2S1n/1WvuaRjxG0q+Pd0ij3aoKU7G3JnvZ7TNTE6RAx5TDs+7grSiKqG+Q2xuP7shf1+0sRTkCbJKtMxGjHOO8oyITVYWp+OgDO6DVBJ5t+kem8eivrkohZiIiIqJoYACIiIiIiIgojLqHpvCF/7kE22ybj1Gvxccf2qU6Ka4Uqw1AgXBN4ARKUoIuZk4W6rQaaUSSiNj6na1GsyIAtHVeAEin1ahOGL12eSAk9znl8EjND0a9NmbGudHitBqN1OIhAqv+ZvnV9jH89A+t+MkLLar/rrTLJ6+qCsMfAFIe1+0DNsy4vaqf+0URz53pwb8+fgGWSad0+dEdefinD+6P6FiipUb9KNt/bt6RD70uNp7/iFZiMurwhkOl+MJHjuDdd1Yj1WxQ/fxgXS52VkYmYBdp6clGKVgrAjjTtHQLUM+wXTphn5liRFaq3ManCgYuMhKqrW9SWq6M8/FfSm86UobE2bCTZcKJkw1DUd6jhToHbaq/+0O3V63YeqcRBORlBj8GrGfYjv7ZIKlBr8H+EAdH0xSP5Qk2AEXExJQLfbN/U51WwJbSNADAzspM/PEbtkrb3eiz4hcv34jGLhIREREBYACIiIiIiIgobDoHbfjPn12Svj1sMmrxV+/ajdqS9CWvow4AxU4D0Fz7BYCYC4woT4LMtSxtBG6PT9U4sGWR4+LYTjkAdOXGGKwhOMmjPJmVn5kITRhHQFFozIXcgNWF3Hotdjz6qyt46UIfXr7Yr/rPNjsqT6sRUB6BUTUpSQYU55gBAD6/qBqzY5t24ytPXMEvX7khBQwTDFp8+M11+JM31iHBENkmjdwM+fEwap2By+3DyKQT1xShqdv2FCx1daKYZTRocc9NxfjCRw7jkXtqUJ6fjJ2VmXj47ppo71pYHd6mHAO2dEBFPf4rTfWzrDST1Ahjc3gWvDdrV4xVrI5AqDJWmE163HOgWFpvU/wOY4EoinjiFTmEsa8me9WtdwWKMWAD6xwDVn9Nbv/ZV5Md8maoVLMBc2/fphyemG1giifK9p/qojTVe5TD2/Pw7jvkcaVnmob4NyEiIqKoYQCIiIiIiIgoDHqGp/DFn1+CwxVou0g06vDJd+9Z8eRDskkx0mqdYwfCYdw2Iy1nKMYOxIJUs2IMwgb6FnR7v1U6OZCfmaga5zAnPzMJNbPHjF8U8brihNJ6KU9mKUebUOwyK4KBqxlHcvzKgDSSZim7q7Jg0EemyUbZAtTUFWi9auwaxz99/ywaOuSxYOX5yfjMH92EQ4qT9pGk12mQmyE3fwyMTeO1ywOY+1VuL89ATjpH5tHGpddpcfveIvzDB27C/31wlypcGI/21WZDPxve6bHY0T+ycIQXsHwASCMIyM9cvAXI7xfRPiAHeSPRqhZLyhQNbbHWQnO1fQzNPZMAAn/Dd9xWuerr5isagAZHHWu+b6/Pj9OK5qFQj/8CAu2AyjG4G+n970bVMG/813x331SMzNkvSThdPrQpRq4SERERRVL8DyUmIiIiIiKKMOu0G4/971U4XYFxEkkJgfDPakbZxOoIsPEpRQNQamw1AKUqToBYpzdOA9D1Hnn812LtP3OO7SpA6+xJhDNNw3jj4bKg7ld58rKQAaANQRUMXOF5wevzq0aevOFQ6YJwWWKCDrurskK7k8uoK8vAC+d6AQANneP41avtePZ0N5QZpfsOluDtt1RAp43ud9UKspIwOBY44dszPIXjV+TRe7fvKYzWbhHROpiMgee6c80WAMDppmG841azahu/KC4bAAICzwvdw1MAAuMB55oc+0bsmHEH3uulmg3IjLH3R+GWpghgT0zFTgDF5/fjiVfbpfVb9xQgL2P14U1lOHpwHQ1AV26MSWHdjBR5FF2opZmNUvPlpN2tGl1HoeXz+9HYJb9v31GxcJSzIAjYWZWJVy4GxoZebR9dMN6XiIiIKBLYAERERERERBRCHq8fX3vyGsZnR2aZjFr8zXv3rir8AwDJifKJfnsMjQCL7QYg5Qiw2DkBtZLm7klpebkTBHtr5AaDvpHpdZ2MUlKNAGMAaENQNwAt/7ygPPGYmWLE22+twJ37ilT/Hd6WF/JxJMupKU6FVhOYVTIwOo1nFOGflEQ9PvGuXXjo9qqoh38AdSju2dM90u8yPdmInVULv/FPRLHt0LZcafl04xD88+rR+kempbbGlET9okGRwmz5eaFf8Ro6f/yXsMlGairDpbEUAKq/NiS91zEatHjr0fI1XV/Z+LSe91wnG+S2xiPb88I2ajVd2YAZQ7//eNTeb4Nz9nkiI8W4ZIPmrkr5fcJVxfhQIiIiokiK/icrREREREREcUIURTz+QgtuzLa1CAD+7C3bUJxjXv6KCjHbAKQMAKXE1jfc05IUJ0A2SAOQ0+VF56A8NqS2JG3JbU1GHbaXy980vtAyEtR9D4zJ4yw4AmxjUD4vdA8vPsJmTr1iTNzh7flhO/G4FgkGHSoXGY2zrTwDn/2Tg9heHjvBGuVjwjLplJZv210ArYYfoxFtNDsqMpGUEAg8jtlcuK5o8QAWjv9aLMSjfF4YGJEDIW2KANBmG/8FAGaTXgpuzrh9UkAimlxuH5480SGtv+FgiWpU1mrkpJuk0OqYzYUZ9+r/v2zTblXw4+j20I//mhOrAax4dE0x/mt7eeaSYb8tJekwzIb2B8ccsEysfYQcERERUbD4yQUREREREVGIvHi+D69flU++v/P2SuysXNuYHWUD0FQsNQApR4DFdANQ7PzOltPWZ4XPH2ghKM4xq/7ui9m/JUdaPt9iWff92p0e2GZDUgadBlkxFuaixdWVyQGw168OLtl0ZZ1/4nFHXtj3bbW2KUJsWo2AB2+vxMcf2qUa4RcLFhuLp9UIuGVXQRT2hoiCpdNqcNNWuQXov35xGZ/69mn88NnrONkwqHrOrF5k/Begfl5QNgDNBb4BoKpo8evGM0EQkJ4sP4fHQgjl2TPd0nvBVLMB99xUsubb0Gk1yEmXx2kNjq0+xHG6aVh6f1dVlIrcNYweW6s0xfvfyQ3UgLkRNXSMS8s7KpYOLRv0WtXItytsASIiIqIoiFzfMxERERERURxr6BzDz19uk9YPb8vDfQfWftIhWTXqxwu/KMZEg0dMNwApRiBslBFgzd1yA8GWkqXHf83ZXZUFnVaA1yeiZ9gOy4QDOelrP6mkHP+Vl5kIjSb6xxatrK40HWV5yegamoLX58fzZ3vx0B1VC7Y7oxhvU12Uitx1HCPhcufeItzos8Lj9eGdt1WhoiAl2ru0qNyMRGg1gnQCFwD21GQj1RxbwUciWr2jO/Lw6qV+aX143IHhcQeOXxlUbVe7RAAoMzUBBr0Gbo8/EKR1uOH3ixi1Bt4b6XUalOSuvu0xnqSbjRiZDPweJuyuqDYLDo4FRkzOeeBYBYwG7bpuqyAzSQr+DI5NoyTXjJ5hO1p7J9HSM4kJuwvVRak4uj0fJblmqRHmpKKF7+j28IZw05QNQDH4/tfn98PvF6HXre9vECusdhe6h6cABALBdWXLv2/fVZUlBQuvto/h7v3FYd9HIiIiIiUGgIiIiIiIiII0NO7AN3/TiNnz7qgoSMEH769dsh5+OTqtBiajDk5XIPzjmPHCbNKvfMUw8vr80repBahHDsQCZYOIdYOMALveIweAtpauHAAKjAHLxOUbowCA8y0jeMOh0jXfrzIAxPFfG4cgCHjzkTL896+vAQBeudSPNxwuXfDcUN8wJC0f3RG+sSPrkZigw8cf2hXt3VjRXPODsvHhjj2FUdwjIgpWZUEq/vgNW1F/bRDtAzZ4ff4F25iMOhRlLx7i0QgCCjKT0DUUCAEMjEzD7pTHtJbnp0ijsDab9JQEAIEmpMkoNgD5RRE/erYZXl/gzXhFQQpuDuJ1MD8rEWgNLD95vAM/eaEVM26fapvuoSm8eL4PBVlJOLI9D0XZSeixBMZ06nUa3LQld/7NhpTy/Xg0f/eL6R6awn/+7BK0WgGfet8+5IWxCSncGjrl9p+qwlSYjMufUtupaAhq6ZnAjNuLBANPwxEREVHkbM5/mRAREREREYWIY8aLx351FQ6XF0Dgw/j/7+07gvq2q7IFyBYDgZbJKRfmujBSzIaYO8mVqhqB4IYoistsHX3TMx70zJ5EFASgZonGgfn21WZLy+eb1zcGTBUAymQAaCPZVZ2FouzA38zl8eEP53pVP+8ZnkLv7IlHg06D/bU5C26DVkc57ic/MxG1JWnR2xkiCombd+bj/z28F1/7+C3424f34oFbKrCtPANGvRaCALzlaNmyrXjzx4Dd6FeM/ypMDeu+x7J0RTvaeBRDKK9fHUTr7Eg2rUbAB+7bElTLYb7iPdKYzbUg/KM0MDqNX73ajq88cVW6bF9NNhITwhv6UDZgTsTQCFxRFPHTF1vhcHkx5fDgpCKcvBFd65DHeO2oXHr815zM1ATp/ZrXJ+J618QK1yAiIiIKLUaPiYiIiIiIgvD7k10YGg80Reh1Gvx/b9+h+kB+PZIT9bBMOAEAUw43gOgGNZQndDKSY2v8FwAkGHQwGrRwuX3w+vxwuLxISohua9JyWnompUBVWV7Kqk8Q7anOkkYTdQ1NYXTSiaw005rue2CMDUAblUYQ8KYjZfjmU40AgBcv9OHeAyXS8fO6YuzI3trwn3iMZzXFaTjfMgIAuGtf0bra3IgoNul1GtQUp0nhW6/PD1FceUxRQbb8mjkwOi2NBAKAqqLNGwBKi4EWGqvdhV++fENav/dACYpzghvJVrnImMr0ZCNqSwLHTlqSEeeah3GhdQRuz8JGqSM7wjv+a25/5kxOuSCKYky8XjV0juNGnxyQs0w4ltk6tvn9IhoVDUDbyzNWdb2dlVnoGwm8577SPoY9NdkrXIOIiIgodPhpEBERERER0Tq5PT6cuDogrb//3lqU5y88YbBWySa50WbK4Vlmy8gYt81IyxkpsTX+a05akgHD7kBoatLujukAUGvvpLS8pTRt1ddLTNBjW3kGrrYHvol8vmUE9x0sWfX1OwdtaOmR75sBoI1nf20OcjM6MTzugNPlxcsX+/CmI2Xw+vw43TgsbXd0e2yN/9pobt1dAJfHB4NOi1s5/osorq221VDZANQ1ZEPPsF1a38wNQBmKEMpElAJAP3upTWrizEkz4S1Hy4K+zZz0RHzkrdtwo9+K0txk1BSnISs1QRWw2V2dhUfcXlxoGcGpxiFc75qACKAsLxl1pasLigQj0aiDXqeBx+uHy+OD0+WLevhXFEU8ebxDddnw7JcaYpUoimjpmYRep0FFQYrqb9w5aMP0TODYSjMbVh0s21mZiWdOdwMArraPxkw4i4iIiDYHBoCIiIiIiIjW6ex1i/ShcHZaAg5vD823fZUjwKacMRAAUpzQyUyJvQYgAEhNMkgnGGx2l+pEXazpG5FPGlbkr+2k4b7abEUAyLLqAJBjxoNv/KYBPn+ge6g8PwW56WtrD6Lo02gEvPFQKb7/zHUAwAvnenH3/mI0dY3DPvtckZ5sxNbS9Gju5oan12nxxsNl0d4NIoohytBs56Dc/pOfmQizKXZDx+GWFuUA0JUbozh7XR6L+sh9tTDo1z+GV+nA1lwc2Jq77DYJBh2O7sjH0R35GLfNYHDcgbK85KDGj62WIAhINxthmZwLwLuiHgC6fGMUXUNTqsssE86YDcD4/SJ+9FwzTlwNtChWFKTgTUfKsKsyE4IgqMZ/ba/IXPX/Q2VhCpISdJie8WLS7kbPsB2leclh+X8gIiIimm91X3EgIiIiIiKiBV651C8t37anEJoQfbCdnKhsAHKH5DaDMaZsAEqOzQagVMXYtcnp6P/OltNnkQNAxTlrCyrtqc6GdvakUseADWPWmRWuEfhm8w+ebcbo7LYmoxZ/9pa6mDwRQys7tC1XCuLZnR68drlfNf7ryPa8iJx4JCLaTDJTEmA0LAyWVG7i9h8ASFe8/5qwRzYANOP24icvtEjrR7bnYVtZ+Jt3lpKRkoBtZRkRbaFUBbAi/Pufzy+KePJ454LLnS5vTHyhYT6f34/vPX1dCv8AgffWj/3qKj77g3M432xRBYB2VGSu+ra1Go1q+6vto6HZaSIiIqJVYACIiIiIiIhoHbqGbOgctAEIjI+4eUfoRu6oGoBiYATYhE0+oZARqw1AZjk0ZbXHbgDIOu2GbfZvatRrkZW2thYes0mPLYp2lwutIyte5+WL/bjQIm/3wfu3Iic9cU33S7FDp9XgDYdLpfVnzvRIrVBA4AQoERGFliAIKMhcGNrdzOO/gMD7r7nI6dS0G16fP2L3/ZsTnRibfY9qNunxrjuqInbfsSJN8f53Mkoj2OZcaBmRWi4Neg2yUuV/M1hibAyY1+fHd37XhFONQ9Jlyuh0j8WOr/+mQWr70ggCtpWtrV1xZ6UyADS2zJZEREREocUAEBERERER0Tq8clFu/7lpS7aqtSdY6gBQ9MMs44oGoPSUGG0ASlIEgKajewJkOcr2n8LspHW1Ru2vzZaWz7dYltkS6B6awi9ebpPWb99biJu25Kz5Pim23LwjTzrpZ5t2S6PdKgtTkL/ICWoiIgreYuNFq4s2dwBIp9UgZfY9mIjAGKpI6By04Q/ne6X1d91RFdL34htFuqIBKFK/+8X4/SJ+c6JDWr97fzHKFCOvLBOOaOzWojxeP775VKNqdNytuwvwnx89gntuKoZBt/CUWUVhChLX2OwUGBkWWO4YsMEWA/+mIyIios2BASAiIiIiijlenx8/fq4Zn//xefQqTpYTxQrHjAdnmoal9dv3FIX09tUjwKLfADSu+EZxZow2ACl/Z/YYHDMwR/mcVpRtXtdt7K3JloJDN/qsmFjiG99Olxff+E0DvL5AOKQkx4x3b8Jvx8cjvU6L+w6ULLj8aAibyIiISK1gXgAoKUGH3Aw26qlCKFORCTn8/mQXxMDbG2wtTd+07XeqEWxRbAA60zSMwbFAyMdk1OLeAyWqtsnh8dhoAHJ7fPi3H53FRUWD5p17i/D+e2uRkZKAd99ZjS/8+RHcf6hENfJvf+3aw/Nmk14aESgCaOhgCxARERFFBgNARERERBRzXrs8gFcvD6BjwIYfPHM92rtDtEB9wxDc3sCIg6JsMyoLU0J6+7E0Aszl8UmBGq1GkL7lHWvMJvl3Nu30RnFPltc/IgeAinPWFwBKTjSgtiRNWr+wSAuQKIr44bPNsEwGTrgYDVr8+du2Q6/TLtiWNqZbdxeqjnudVoMDbHciIgqb+QGgqsLUdTX5xRtlAGgigg1Acx66vQrCJv07pCVHPwDk9fnx1Oud0vo9N5XAbNIjN10eczv3fjSa3B4fPv/9Mzin+BLHvQeK8d67q1XHT0qSAQ/eVoX//PMjePcdVXjo9ircsbdwXfe5i2PAiIiIKAoYACIiIiKimOL2+PD7U13SetfQlOqEOVG0iaKIVy/J47/u2FsY8pMOySZFA5AzunXxqvFfycaYPdGlDEJE+3e2nN4RZQPQ+kc17VcEPc63jKh+Znd68OvjHTjXLAeDPnjfFrYUxBmjQYt7DxRL6/tqs9c8noKIiFZv/giwqk0+/muOKoSieN8YLnanB5P2wHs9nVaDopzNO/oyzawcARad978nG4akgE9Sgg537w+8N8lRBoBiYATYr15txyVF888bD5cuGx4zm/S450AJ7jtYAp12fafRdlVmScsNHePw+vzruh0iIiKitdBFeweIiIiIiJReudQP67wPL+sbhvDQ7RxbQ7GhuWdSqrhPMGhxaFtuyO9D2QBkd3ggimLUvtmsHP+VoTjBE2uUASB7jDYA+fx+DIxOS+uF6xwBBgTGgP3k+RaIANp6JzFqdaJ7aAonG4ZwtX0MPr8obXvb7gIcrAv9cUrRd++BEkxOuTFpd+E9d1VHe3eIiOJaRooRCQYtZtw+AIEGIFK/P4xEA5DyvVRBZiK0ms37HWfV+LUItS8pebx+/K5ebv+572AJEhMCp5yUI8AsE9FtAPJ4fahvGJTW33pzOd5ytCzs/74qzE5CRooR4zYXHC4v2vutqC1JD+t9EhEREW3ed8dEREREFHNm3F48fap7weWnGobg8/PbchQbXlG0/xzenocEQ+i/V2HQa2HUB0Y1+fwinK7oBVqUDUAZKQlR24+VqAJAjthsABoad8LrCwRz0pONqn1eq9QkA2qK0wAAIoBPfes0vvZkAy61jarCP2V5yXj3nQyGxCudVoOH76nBx96+AymJsTmej4goXgiCgJtmG/hyMxJRUcAAEKBuoYnEGCplO2xhEG2K8SDNLL/2W+1u+BXvASPh9asDGLMF/ubJiXrcua9ItW8GfeD00/SMVxopHA1XbozB6QoE9/IzkyIS/gECzxk7FS1AVzgGjIiIiCKAASAiIiIiihkvnu+TPhjMTDEiNSnwgaZ12o3Gzolo7hoRgMA3a5XV8bfvKQzbfSlbgKYc0fvAfMKmaACK4QBQkkkOYjlmvBE/AbIayhNWxTnrb/+ZoxwD5pv3/1tZkIL33VODv314LwyzYTIiIiIKzgfu24JPvW8v/uH9+6HX8aN1YF4LTQQCQH0halOMB3qdVgqU+0URtgiH4F+9PCAtv+FQqeqLEYIgICdNbgEajuIYsFONQ9LyrXuLItqsurMyU1q+3DYKUYy9f6MQERFRfOEIMCIiIiKKCY4ZD5470yOtv/loOYbGHHjubOCy+muDqg/PSE0URQyNO9DSO4nW3kl0DtiQnWbCn79tO0xGvu0PleNXBqSgRXVRKorCeNIhOVGPUWugfWfK4UFuRtjualljqgag2B0BptVokGjUweHyQgQwPeNBcow1ovRaQvuN9f212XjilRtwewMNaVmpCTi8LQ9HtuchNyNxhWsTERHRWmk0AqqL0qK9GzFFGQAaj0gDkCIAlLW5G4CAQAPT3JdoJqZcqkamcOobsUvvbfU6DY7tLFiwTW66CX2zAXjLhBOVUWjNsjs9uKpo3rltXxEC/ZmRsbU0HUa9Fi6PD0PjDrT1WaUWTyIiIqJwCMmZAJ/Ph5/97Gd48skn0dHRAZ/Ph+LiYrzhDW/Ahz70IRiN6jed165dw9e+9jVcu3YNDocDVVVVeP/73483v/nNodgdIiIiItqAXjjXC8fsmKOcdBOObM/D0LgcALrUNoLpGQ+SEtY/MifeuNw+nGwcwvWucbT2TsI2ryVmeMKJF8714q03l0dpD+OLz+/Ha4pvud6+N3ztPwBU4ZWpKI60Up7IyUiO3QYgIDAGbO55xO6MvQBQnyIAVByC8Fiq2YhPvGs3mrrGUVeWgaqiVGgi+I1mIiIiIlUDkN0NURTD1rAiiiIGRhkAUkpLNqBvtqB00h7+ANac043D0vKuqiwkJiw81ZSTYZKWh8ej0wB0vtkif4GjOA2F2WaMjExF7P6Nei0O1uXi+JXAvyNfvdTPABARERGFVdA9pT6fDx/96Efxuc99Dh0dHdi1axcOHDgAi8WCxx57DI888gicTqe0fX19Pd7znvfg+PHjqKqqwsGDB9Ha2opPfvKT+PKXvxzs7hARERHRBmR3evDCuV5p/a1Hy6HTalCUbUZpXjIAwOsTcfa6JVq7GFNEUcSl1hH8/XdP4/HnW3C+ZWRB+GfORcW4KgrO1RtjmJgNwyQn6rGvJmeFawQn2aQYAeaM3giw8Q3SAAQAZsXYNHsUf2dL6VOMACsKwQgwAKgpTsPbjlWgpjiN4R8iIiKKuASDDiZjYNyo1+cP63sw27Rbun2jQYuM1NgOp0dCujmyI9iAwLixM03yWK3D23IX3S43XW6ktEw6F90m3E4rxn8F2n8i7w7FF0fONVtgm47elzuIiIgo/gUdAHriiSfw6quvora2Fs899xx++MMf4rvf/S6ef/557NmzB1euXMHXv/51AMDMzAz++q//GgDw/e9/Hz/60Y/wzW9+E7/73e+Ql5eHb37zm2hoaAh2l4iIiIhog3n2TDdm3D4AQH5mIg7WyR8g3rwjX1quvzYY8X2LNSOTTjz2q6v4719fw5hN/QFvUoIOu6uy8ODtldBpA2/1ey12jETpw9Z48/LFPmn52M4C6HVB/3NqWbHQACSKoroBKCW2T7KYTbEbAHLMeKXHrFYjII8juoiIiChOpCtaIifCGELpm9f+w/AzVCO/JiLUAHSjzyq9r01K0GFHxeKjunPS5AYgy0Tk/006anWitc8KANAIAo7tDm+D61JKcpNRWZACAPD5RZy4OrDCNYiIiIjWL+hPrJ988kkAwKc//Wnk5sonajIyMvCZz3wGAPD0008DAJ566imMjY3hzW9+Mw4dOiRtW1JSgk9+8pMAgMcffzzYXSIiIiKiDcQ67cZLF+RgxduOVUCjkT/IPViXC+3seseADYNj0wtuYzPweP343cku/P13z+BK+5h0udmkx0O3V+Gf//gAHv3LY/iLd+7E/QdLUVeWLm3DFqDg9Y9Oo7FrAgAgCMBtuwvCfp/JijabqSUansLN4fLCNRvOM+g1SFqk2j+WxHIASNn+k5+ZJIX0iIiIiDa6dLMcXA9nAKh/hOO/5lOOYBuzRiYAdErRqnPT1twl39fmpEd3BNiZJnlMWV15uiqoFmm37ZHDR69dHoB/diwZERERUagF/Yljeno6KioqsHPnzgU/KysrAwBYLIFRDSdOnAAA3HnnnQu2vf3226HVanH8+PFgd4mIiIiINpBnTnXD7fEDAIpzzNhXm636udmkx+6qLGm9/toQNhO/KOJCiwX/+P2zePJ4BzzewO9KQCCE8q8fPoT7DpagKMes+gbs3hr598gAUPCUIbU91dnIUnybNVzMqgBQdBqAxhUtUxnJCRBi/FvWGyUAVJzDE1ZEREQUP9KSI9NC0694P1WYHZpxqhtdriJkc77FguGJ8AZtPF4/zjfLo7kP1S0+/gsIHBeG2dbU6RlvRN+fi6KIU41yAOhwXV7E7nsxB7bmSF+mGLXOoKFzbIVrEBEREa1P0AGgb37zm3j22WeRmLiwvvzatWsAgLy8wJurtrY2AEBNTc2Cbc1mM3JycjA+Po7R0dFgd4uIiIiINoCJKRdeudQvrT9wrGLRGvejijFgJxsGF3xbzuX24fEXWvDx/34dT5/qCtv+RpLfL+J00xD+6Xtn8bUnG1TfmCzJNePT79+H99+3RRV4UNpdlYW5X+WNPius09EJkMSD6RkPTjbI4+fu2lcUkftVjwCLTphl3DYjLWekGJfZMjbEdADIIp+wKsrhCSsiIiKKH6oRYLYwBoCUI8CyGagGgJqSNJTmJgMIhHN+/FwLRDF87TLXOsYwPeMFAGSlJqCqKHXJbTWCgGxFQCmSo6l7LXYMzB4vBr0Ge2qyVrhGeOl1Wty8U/5c4+WL/ctsTURERLR+YetvF0URjz76KADgnnvuAQCMjAS+eZydnb3odbKzszE4OIjR0VFkZYX+DZnBoEN2dnLIb5colvGYp42ExyttRpv9uD/fNgqvL9BoU12chrsOly3aMHJ7RhJ+/HwLJu0uTNrd6J+Ywd4tOQCAjn4rvvD4BenboE8e78B9RyuQlxndD4S9Pj8ut47Aanfh2O5CGPTaVV/v1Qt9eOKlVukDyzmJCTo8cv9W3H+kXBqLtpTsbKCuPBONHWMQAbQPTeHeQ2Xr/L9Zn3g5vk+80ia1VJXlp+DmfcURacIpdXqlZafHF5Xfp2lwSlouzkuJ+b9pXo68f15/dI7Bpe5zeFIOU22vyon53yXRYnjc0mbE4542o7Ue9yX5KdLyjNcflseNKIqqcdC7anORnhK9kU6x5P++Zy/+6tHX4BeB690TaOiZxB37S8JyX5eeaZaWb99fjNyclGW2Bopzk6XRbU6vGLHn1N+e6paWD28vQHGhPCI7Ws/rb7+zBs+f7QUQCFL5tVrkZiz8Yj1ROPD9DMUzHt9EakE3AC3lS1/6Es6dO4esrCx86EMfAgA4nYGEd0LC4m/M5y53OCI/D5aIiIiIIm9wTH7fd3B73pKhCp1Wg1v3yq0rL53vgSiK+O2JdvzVo8dVVfB+EXi6vjN8O70MURTR2jOBbz15FR/47PP47HdP4ys/v4Qv/+ziqq5/7cYo/uzfXsSjv7ikCv+YjFq8845qfOtv78Kbbq5YMfwz59B2+RuGp64NLrMlLcXn8+P3iuPpLccqIjYGKyVJbgCy2qPT4LSrKgtbyzJQmJ2EtxyriMo+rIXydxatsWmL8ftFdA3apPXSfH44RURERPEjM1VueRmzziyz5fqNTDjhdPkABJoylWPHNruq4jS85ZZKaf27TzXCGoZRbNNOD842ySO5b9u7cjNqQZbcfDn/Cy7h4vOLOK5oGr4tQg2uKynIMmPP7KhuUQSeP90V3R0iIiKiuBSWBqBHH30U3/72t2EwGPCVr3wFGRkZAACtVgtRFFf8wNzv94djt+B2e2G1Rq5mkiia5hKvIyNTK2xJFH08Xmkz4nEf0DNolZYTdZplfx97qzLx1PF2AIEwy99/ox5X28ekn2s1Anyzo8GeP92Ne/YVIsEQtsJLlYkpF+qvDeJU45Aq1DTn9SsDuKthACW5S5/0tzs9+Nz3T0sfagNAolGHu/YX4a79xTCb9PDMuDEys/pQQ22BfH9X2kbQ0zcBkzH8v5N4Or4vtFgwMhH4N4TZpMe2ktSI/X953HIDkNXugsVii1j4SOmT79ol3W+s/039it/Z2KQzovu73HE/MumE0xXYN7NJD5/Lg5ER74LtiGJVPD2vE60Wj3vajNZ73GsUn+cPj02H5XFz9caotJyfmYjRUfsyW28+9+wrxIlL/RizzWDK4cbXn7iMD72pbk234fcHWpZyMxKh0y787viJKwPweAN/65JcM0xaYcW/tTlBbsLt7JuMyHNqU9e4NMo4OVGPoowEjIxMxcTz+tHtebjUGpiU8fypLty1pxB6Xdi+p08UE8c9Ubjw+KZ4FkyzVUjfWXi9XvzjP/4jvv71r8NoNOKrX/0qbrrpJunnJpMJoijC5Vo8fT4zE3hTlpTE+b1EREREm8Go4tuhWYpvjS6mOMeMktzAtwc9Xr8q/FOSa8Y//8kB5KYHbsPp8uJkw9CitxNqo5NO/N13TuPXxzsWhH80irDG7xUV5It5/myPFP5JStDh7bdU4At/fgRvO1YBs0m/rn3LSjOhJCfwO/P6RFzrGFvhGjTfH873Scu37i6AXre6UW6hYNRrpQ+DPV4/XB7fCtcIj2iEjtbLnCg/VuxOTxT3RK3PIp+gKspO2lC/UyIiIqKVpCvaeCamQt88AwD9ivaYwmyeP5gvwaDDI/fWSOsnG4bQ2DW+ptv4/jPX8Q/fO4u//86ZRdt6TjXK/8Y+VJe3qtvMTZP/nW+ZjMzkh9ONw9Lyga250GpiJ2CzqypTerzYHB5caLVEeY+IiIgo3oTsnc/09DQ+8pGP4Be/+AVSUlLwve99D7feeqtqm5ycHADAyMjIorcxd3l2dnaodouIiIiIYtjopNzOmJm6+JhYpaOKkVZz7tpfhL97ZD/yM5Nwp6La+8XzffCLYmh2dBnnW0Yw45aDGUaDFke35+GT796Nv//APunyC82WJSvPbdNu/OF8r7T+yL21eNORMiQmBN/Ws7dGfm99sXXx9+G0uJ7hKbT2TgIINEzdsYqK+1ASBAHJikCLzRE7gZZYpQzLxVQAaEQZADIvsyURERHRxmNO1Etjih0uL1zu0AfXlWOfi7IYAFrMzsosHNiaI63/+LnmVX+JoH90WvoSjWXSiX95/AKaFAGiiSkXWnomAQACgIN1uau63dyMRGl5eDz80xncHh/Ot8ihmkPbVrefkaLVaHDrrgJp/dWL/ctsTURERLR2IQkAWa1WPPLIIzhx4gTy8/Px05/+VNX8M6e6uhoA0N7evuBndrsdFosFGRkZyMrKCsVuEREREVEMc7q8mJ4JjMDRaTVINRtWvM6hbblInB1hZTbp8Rfv3In33lUjtaQc3ZGPBEOgoWVo3IGmzuW/8Tg87gi6VaWtb1Javu9gCb7y/92MP3lTHerKMlCWl4KdlZkAABHA00u0AD1zuhtuT6BKvSjbjP1bchbdbj2UAaCr7WNSZTut7EVF+8++2mzVN5sjJdkkPy6mHKsf/7ZZKQNA005vREKAq9E7Iof/inIYACIiIqL4ohEEdQuQPfQtQP0jygYgvp9aynvuqpH+zTwyOYPf1Xet6novXehTrTtdXnz5l1dw/MoAAOBM0zDm3llvKU1f9b+N0pKN0jgxu9MDx0x4Q/pX2sekL+jkpJtQkZ8S1vtbj2O7CqTAXGufVfVlASIiIqJgBR0Acrvd+PCHP4zGxkZUVVXh5z//OWpqahbd9tixYwCAF198ccHPXn75Zfh8vgWtQUREREQUn8YU478yUxNU47KWkpxowN8+vBfvu6cGn/uTA9hdpQ6Om4w63LxTbglSjm+a7+cvteFT3z6NT3/7NGbc3nX8HwCiKKKtzyqtH9uZD6NBPSLqTUfKpOUzTcOwTKq/9Tgx5cIrl+Rv/T1wrHxVv4vVKsxOQs5s7fqM24fr3Wurgd+sbA43TjfJ1fF37y+Oyn4oG4Cm2AC0Ip1WI4UA/aIIp2t9j+1QU44AK2YAiIiIiOJQWhjHgPn9IgYU45YL2AC0pNQkAx66o0paf+5MD3otywdMpmc8ONkwKK3PBYh8fhE/fLYZT7xyQzVi+/C21Y3/AgLhsJx05Riw8LYAnW5U72csjt5NTzZiT7X8Wcarl9gCRERERKETdADosccew+XLl5Gfn4/HH38ceXlLv/m79957kZmZiSeffBKvvfaadHlvby/+67/+C4Ig4IMf/GCwu0REREREG8CIVf7gL3sV47/mFOWYccfeIqSaF//G4V37ijD3Ed+1jjEMji0cu/XKxT68cC4wcmtiyoXGzonV77jC0LhDGjNkNumRp6g3n1NVmIqtpekAAoGEZ0+rW4CePtUltfKU5SVjd3Vo2zAFQeAYsHV47VI/vL7A36U8PxkVBdH55qg6AMQGoNWItTFgbo8PwxOBE1YCeMKKiIiI4lO64t9nkyEOAFkmndJ78zSzQfV+jxb6/9n77/jG8vpe/H8ddcuWJfdex2NP7zs723fZBZaylFBCCQFCSEhCIN9cQioJBJJfSCHchCQ3kFwIm9AWCLBwdxd2s8v2nZ3Z6cUz9rj3JsmyunR+f8g+53Ns2ZZkyWqv5+Mxj4dktTO2LEvnvD6v9+0HGtDd4gAQ+wz69UevbtiM+cy5CU0j7Z9/6DhahdD6Iy8NKy01RoMOR3tq4t7PelYWpADA9ELmAkBRWcbVYfWzvTgOLdfcc7hJOf38xcmc+NxCREREhWFLAaCFhQU8+OCDAIDKykr85V/+JT7xiU/E/QcAZWVl+OxnPwtZlvHrv/7reN/73oePfOQjeOCBBzA5OYnf+Z3fwa5du7b+vyIiIiKinDcrNABVJxEA2kxthRUHhWag1VXmV4cW8I3Hr2u+Nj6bWuX2tRGncnpns33d1YViC9Cz5ycw747932ddPvz87Lhy2Vvv7MzICkUxAHTm+iyi0bU7f93eIEamPZBzZGRSNoUjUfyPsArzvmMtWVs5arOqI8A8bABKiCYAlAPfs/G5Jaz8WtVWlMBs1G98AyIiIqI8JI6Eml/0b3DN5I0JI5I4/mtzOknC++/vgUEf+wzTP+7GC0KDjygSjWo+M993rBmV5Rb8wS8dWdO4CwCHuqpRstwQlKi6SjUANDXv3eCaWzM174UvEBv/VV5qirtAJ1fsaqtAQ1Vs+/zBCB47OZzlLSIiIqJCsaUA0Msvvwy/P/Zm/tKlS3j44YfX/bfi3nvvxYMPPojbbrsNV65cwcsvv4yenh588YtfxEc+8pGt/W+IiIiIKG+sHgGWTvcda1ZOP3dhEl5/bAzQtNOHf/7BRURWBWDGZte2BCVCHP+1s9mx7vV2tTrQ1WQHEKtRf3R5596Pnx9UtqWr2Y59HZUpbcdmOpvKUV4aC5IsekPoG1O3OxiK4AfP3MAn/uk5/Nn/Pak0IxWzU73TcHlibTv2MhNu2pW9laMcAZa8MmtuNQCJIxeaOf6LiIiICpQYAHIupre5cmxG/bzWxDbFhDRUleI1N7Uq57/7VH/c8bhnr89ibnmBSlmJESf21AEALCYDPvoL+9eMQj6xty7pbamtUIM4mWwAujHuVk53NpTn5PivFZIk4U23dSjnHz81CjcbX4mIiCgNkotqr/Ka17wGvb29Sd/uyJEj+Pd///etPDQRERER5bkZpzACTKgET4fdbRVoqi7F2OwSAqEInj0/jjsONuIfv3deCQQY9DqlRn485QCQUzm9s9m+7vUkScIbb23HFx86BwB4+uw4ju+qw7Pn1VWYb70jM+0/QGwF6OGd1Urb0CvXZtDd4sD5/jn81896MeNUw1iPvDSMe482w6Df8rTgvPXEKXUF7D2Hm7L6vRAbgDgCLDHpGgEmy3JafidHp9XXlxauWCciIqICJQaAFjzpHQE2OssAUCreeGsbnr84AacnCNdSEA8/P4h33tOluc7PhM8+dx1qhEloq9TpJLz7vp1orLbix88PobvFjoM7kh9ZXVshNAA5MxcAGphQA0AdDbaMPU663LS7Fj9+YRBjM7H9Fo+8OIRffNXObG8WERER5bni3atPRERERFmVyQYgSZJwr9AC9PjpUXzl4cvKylGDXsLH3rZfuXxy3otINJrUYywsBpTgjNGgQ1v9xjsY93dWoq0udp1gOIovfOcsostzgXa3VWB3W0VSj58scQzYqd5p/NP3L+CLD53ThH8AwL0UxLm+uYxuSy4bmlxE//LKUYNewl2HmrK6PTYhzLKYA202+SAdAaD/+tk1/ObfP42fpqGKf3SGDUBERERU+DQBoDSPABMXbHAEWOIsJoMm8POzl0cwMad+L4enFpWx1nqdhFcdaV59FwCAuw414W9+81Z8+IG90OmSD8jXCQGg6QyOANMEgBrLM/Y46aKTJLzl9k7l/P+8MgZnmsNz63F7gxiaXOQIcCIiogLEABARERERZcWMEACqtqe3AQgAbtlbj1JLrPBy1uXH2b5Z5bL3378L+zqrlJ3U4YicdBW5OEars6F805aYlRagFf5gRDn91js649wivXa3VaDEHFvNOe8O4PS1GeWyUosBu1odyvlnzo9nfHty1ZNnxpTTx3pqYS81bXDtzGMDUPK2GgByLwXxxOlRBIIRfO/pGwiEIpvfaB2yLGtHgNVwxToREREVpooyMQCUvhBDKBzFlBAaaay2bnBtWu3mPXVKW20kKuObj19XQh+PC+0/R3tqNCGudKq0WWDQx4JDbm8o7iiyrQqFoxieUt93t9fnfgAIAI50VysLhULhKH7y/FDGH3NhMYA/+cpL+MzXXsYjL219wQMRERHlFgaAiIiIiGjbef3qTj+TQYdyq3GTWyTPbNTjzkONa77+2uMtuG1/AwBtffxKO1Ciri+vlASAnS3rj/8SHe6uXlNZv7+zCl0bjA9LF4NehwNx6tpv39+Av/i1E/jA63crX7twYw7z7vSu2s0HXn8YL15Wx7LdfTi77T8AYBN+Nxa9bABKhG2LAaAZlxoGDIWjuDq0kPK2uJeCyjaYjXpUp3ncIREREVGucAjhEddSMOmG1fVMzXsRicYCK9V2CywmQ1rut1hIkoT3vrobK5NtLw7M42zfLNzeIF68PKVc775jLRnbBp1O0oz9TnbxTSJGpj3K86S2okSzKCCXSZKEt97ZoZz/+bkxTVtyJvz87JjyGeXJV8bYAkRERFRgGAAiIiIiom03u2r8lyQlXyOeiFcdboZOuO99nZV4x91qBXqjEMYRa+UTcX1UbQDa2exI6DY6ScIbbmnTfO0td3Ssc+30u/1Ag3K6uaYUf/hLR/Arb9iNcqsJtY4SZQyZLAPPXpjYtu3KFS9cmkQwFDtQ0VRTqqyUzSYGgJJXKgaAUviezbu1K9bP96c+Em9kRtv+o8vQax0RERFRthn06sIOWQZcnvS0V47Oiu+nOP4rFa11Ns1o4289cR2PnxpFOBL77NPRYMOODI/MqhUCQFML6R8DJo7/6mzIj/afFfs7q7CjKbbN4YiMh58fzNhjRaMynjmvftafc/uT3hdCREREuY0BICIiIiLadjNONQBUk8FGjCq7Ba+5KbaSsb3eho+8aS90OvUAvKYBKImdXr5AGMPTiwAASQK6mhIPity0uxZ72mNBm3uPNqNjG3dO7m2vxO+96xB+66378acfuGlNcOnOg2pj0jPnJhAtopWAsizjf15RK/BfdbgpY8G0ZJSYDdAvP2cDoQiCWxhHVSy22gC0esXt+f7ZlFfFjk6rryvNtTxgRURERIVNbAFa8KRnDJjY1NrEcaop+4U7O5UR2TNOP34shEzuO9aS8c8+dZXq6LZMNADdGFcDQNv5GTsdJEnCLwhjwZ+7MIHpDISkAODiwNyaEX1bWfBAREREuYcBICIiIiLadnPCiJ0quyWjj/WOe3bg737rNvzJLx+D1aKtAW+sSa0BqH/chZU8QEtNGUrMidfQ63U6/M47DuILH70N77lvZ8K3S5fd7ZU42lMDg37tR4Ej3dXKTuE5tx9XBlMffZRvro04MTEX28lqNulxYm99lrcoRpIklLEFKCmlWw0ArRp/N+cOJBUQFA1PLSqnuWKdiIiICl1FmRoAci5mIABUzQBQqspKjHjrnZ1rvm4vM+GmXbUZf/zaisyOABMbgDoy3GaUCbvbK7Gr1QEAiERl/Oi5wYw8ztPn1jb9nmMAiIiIqKAwAERERERE225GaNioznAASJIkVNjMmuafFY1V6g7kyXmvUoG+mesjyY//Ehn0OjjKzDnRMCMyGvS4dZ86Juzpc+NZ3Jrt9eSZMeX0LXvrkwp1ZZqtxKScXvQlNkohKsvoHV6Aayk9oxfyic2qfr/S0QAEAOf6ZpO+n3AkqllN25mHByKIiIiIklFRrn62m09TAEhcqNHIANCW3HWocU0o/Z7DTXEXh6SbNgCU3nYbrz+EyfnYfep1ElrztHnzLUIL0AuXJjExl97RXC5PIO7nmr5RF5b8XGhCRERUKBgAIiIiIqJtJx5gr7FnbgTYZkrMBlSVx1apRqIyphJciXh91Kmc3tmS+PivfHDHQTUA9Mq1Gbi9hR8gcXkCON07o5y/53BTFrdmLVuSDUCyLOPfHr6Mz3/jDP7oyy+gb9S16W0KSVmJGt7y+EJJj++ad68NAKVSi391aAHeQBgAUFVuRnu9Len7ICIiIsonFWVqEDsdDUCBYAQzzthnNJ0koaHKusktaCN6nQ7vfbXaQmvQS7j70PZ89qmrUH92iX7uTtTApLZ102TUp/X+t0t3iwP7OioBALIM/PDZgbTe//MXJxGJxj4b7Wy2K6PSorKMizfm0/pYRERElD0MABERERHRtpvdxhFgm2moTm4MWDgSxY1xtV68q6mwAkDNNWXYsdxUEonKeOHiZJa3KPOePj+h7AjtarajJcdWjGoDQJsHsp48M4YXL08BAHyBCP7u22fRO1w849yMBj1MxthH3UhUhj8YSer2q0eAAUDfmCvpNqFTvdPK6aM9tTnX+EVERESUbg6bOgJswbP1AND43BJWotx1lSUwGvIz2JFLelor8Iuv6kJTdSnef/8ulJeaNr9RGlSWm6FfbuV1LQXhD4bTdt8D4/k9/kskjmk7eWU6bjtpKmRZ1jT83nmwEQd3VCnnz/cn33hKREREuYkBICIiIiLaVrIsb+sIsM00CQGgsRnPptcfnvIgGI6NCqu2W1BZnt3tz4Q7DzYqp58+N550g0o+iUZlPH1WHf+Va+0/gHak1WYNQEOTi/jWE9c1XwuEIvj775zDpcHiWdVpKxFCU0kEd3yBMJb8sYMRBr2krIqVZeDiQOItQOFIFK9cU3eiH9tVm/BtiYiIiPJVpU39bLTg3noAaGxGXaDRxPFfafPa46347K/ejNv2N2x+5TTR63SodohjwNLXAjQwIQSAGvK7dbOjoRy7Wh3K+RvC/20rro04lealErMex3pqcaBLDQBduDGPaLRwP/cTEREVEwaAiIiIiGhbLfnDCCw3cphNepQJB+qzoVFsAJrzbnp9zfiv5sJq/1lx0+5amE2x1bUTc170j6Vnp2MuOt8/h7nlgxNlJUYc68m9oEaiI8B8gTD+5YcXEY7Edtw21ZTCvjyGIRiO4n8/dL5oVnaWCq8rS0kEgMTxX5XlFhzsElfFJh4A6h1xKo1BFTYzOvN8JTIRERFRItLdADQ2qy7QaKrJrZZOSl5dRfoDQLIsaxp6Oxvy/3232GI0PLW4wTUTJ7b/nNhTD7NJj9Y6G+zLDVAeXyhtYSMiIiLKLgaAiIiIiGhbieO/qu2WrI/FaapWdyQnMgLs+qhLOb2z2ZGJTco6i8mAm3fXKefFnYWF5skzavvPHQcaYDTk3kckbQNQ/BFgsizjPx69quxIN5v0+Ohb9+MP3nMEFcsHYsKRKP7xexdw5tpM5jc6yzQNQJu0JonmhJXqVeUWHNxRrZy/mMSq2NNXhfFf3TXQcfwXERERFYGKMjUA5FwMbLlJlA1AhaVWCABNLWy++CYRC4sBuJZin5HMJj0aqvL/edJaq7YYjUxv3lK8mSV/CKd61c+AK42/OknCfo4BIyIiKji5t3ebiIiIiArarFNt2Kixl2xwze3RWG1VTk/NexGORNe9rizLRdEABGjHgJ28OgVfIJzFrcmMaacPF2/EWl0kAHfl4PgvAChPoAHo52fHcfKKGjp5//09qKu0oq7Sij947xFl1F4kKuOff3ARLwsBlUKUagPQnNAAVFVuQWtdmdKi5PGFNKuL1xONyjgthKw4/ouIiIiKRYlZrzSJBsNRZbRqqkZmxAag/A92FLu6CuGzd5oagDTjv+pt0OnyP3jfUqsuUkpHAOjFS1MILY8xb60rQ1u9GjASFzyc60u88ZSIiIhyFwNARERERLStZl3CAfblUEI2WUwGVJWr4Yip+fVXIk7Oe5UARqnFgIYCXoXa0WBD83LNfjAUxUtXprK8RVsXCkcxteDFpcF5PH1uHN/42TWsrEne11mFWkf2A2nxaBqAfGsbgIanFvGNx68r5+861IgTe+qV8zWOEvz+e44o/79IVMaXf3QJC4tbH8uQq2wl4vcs1RFgZkiShAOd6qrYcwmsir024lReJ+xlJnQVcFCQiIiISCRJ0poWoFQtLAbg8iw3uxj1mvAI5ae6SvXz1uQGn7uTIY6t6iiA8V8AUF9phWm5mXZhMQD3Oi2wiZBlWdPoKy70AYA97RXQL4emRqY9ms9DRERElJ8YACIiIiKibTWzagRYLhBXk45tMAZs9fivQh7rI0kS7jzYoJx/7sJEFrdmax59aRj/65+ew6//7VP4w399EX/3rbP42iNXcb5fXeF4T462/wCATWgAGp1ZwlcevozvP30DT58bx8Ubc/iXH1xUmquaa8rw7nt3rrmPKrsFv//eI6ivjB04iUTldceJFYLSEoNy2pNMA1CcgOLBruRWxZ7q5fgvIiIiKl4r42cBYMGTegBIbF5sL5Bml2K38lkEACbn0hMAGhgvvACQTiehqSY9LUCDk4vK7U0GHU7sqdNcXmI2oKfVoZw/f4MtQERERPnOsPlViIiIiIjSRzzAXp0DI8AAoLG6VAmDjG8YAHIqpwt5/NeKE3vr8a0n+hCVZdwYc2PRG9S00eQDpyeAh57sU5p+4mmqLsWBHVUbXCO7ykvV73kgGMELlybjXs9s1OM33rIXJqM+7uUVNjP+8JeO4MlXxlBTUYLWOlvc6xUC8Xm6lRFgQGxVrEEvIRyRMToTWxVbWR4/vBiJyjjdK4z/6uH4LyIiIioumgDQFhqANKOdGgsj2FHsKsstMBl0CIaj8PhC8PhCKBNG9yYrGpUxOLmonO8soOdJa12Z8jswMuXB3vbKlO7nGaH959iuWlgta7/fB3ZU4/LgAgDgfN8c7j6Uu4tjiIiIaHNsACIiIiKibTWrCQDlSANQdWoNQIWurMSIzqbYTlQZwKWB+exuUAqGpzxK+EdCbKzTzmY7TuytwxtuacMHXrcLv//eIzm9orjUYsQte+s3vd4v39+DhqqNx9LZrCa86faOhO4vn4kNQMmMANMEgJZfnywmA3paHMrXxeao1a4OzsO1FGtWslmN6BZuR0RERFQMMhEA6iyQZpdip5Mk1Aqj3LY6Bmxi3gt/MAIAsJeaNM+9fNdaqzYADU8vbnDN9QWCEbx4WR3lvXr814qDwmKYy0PzCIUjKT0eERER5QY2ABERERHRtpFlGbPiCDBHbgSAGoUA0HoNQC5PANMLsW036HVoqy/c9hTR/o5K9C0Hny7cmMeJPAuOjM2qdel3HW7CL7+2J4tbk7oPP7AHb769HTNOP2ZdPsy5/Zhzxf55/GHcsreu4EM9ybCVJN8AFIlGNQepKoUDCAd2VOPSyqrY/jncvc7IuOfOqytsj3bX5HSwjIiIiCgTHGVbDwBFZVnbAMQAUMGor7JidCb2GW1yzouuptSbdVeP/5IKaPRuS626vyHVEWCvXJ9RAlL1ldZ1W4zrKq2oqyjB1IIPwVAUvcNO7OvM3YZcIiIi2hgDQERERES0bRa9IQRDUQCxWfOlceqns6FRaE2ZmvchFI7CaNCWZYrtP50NtjWXF6r9O6rw388MAAAuDswhKsvQ5dGO1fEZNdAlNj3lo9oKq2bFLK1PHCWw6E0sALSwGIC8XBdlLzXBaFBHqR3oqsI3n7gOILYqNhiKrBm1Fo3KeF4MAO3i+C8iIiIqPmKIeirFhpfJObXZpbzUhMrywml2KXb1lelrABqYLNwxcU01pZAQa+KdmPUiFI5oPp8k4oLQXHrLvvoNA1IHdlTjZ6dGAADn+uYYACIiIspjxXHUgoiIiIhywozY/pMj478AwGzSK9sTleW4O6qfuzChnN5ZRGN9WutsKLfGwhSL3hCGp1KrH8+WUaHRqbkmvwNAlDgxALTkTywANO8W2n/Kta9PdRVW5WBFMBTF1WHnmttfG17A3PKIw7ISI3a1OpLcaiIiIqL81y609fSNueALhJO+j9Xjvwqp2aXYNaQzADReuGPiSswG1FaUAIjto9hoVHk80aiMi8IIb3HMVzwHutTLz/XPQl5ZGUFERER5hwEgIiIiIto2KwfHgdwKAAHadpjVO9fGZpdwTlg9d+u+4hm1pJMk7O1QdwaKqwhzXTQqY0L4WTbmeQMQJW51A1AiO7DF16eqOK9PB4Sd5uf7Z9dcLo7/OtJdDb2OH7eJiIio+FTYzGiuKQMARKIyrg4vJH0fNzTjv4pj9HKxqK9SA0CpNkQBQCgc0YzGai/A50lLnfp/Gp5KbgzY4OQiPMujkO2lJrTUlm14/Z4WB8ymWMPQrMuPibmthbOIiIgoe7hHkoiIiIi2zawmAFSSxS1Zq7Fm/QDQYyeHldOHuqrRUFVcQZL9nZXK6QvCKsJcN+PyIRiOjZwrLzXBZjVleYtou5iMOmVMXzgSVUYPbmTOLQSA4oyZEFfNPn9xEt/+n+vKQQdZljUBoGM9HP9FRERExWv/DuHzw43kPz+IzS6FNtqp2IkjwKYWfIhGU2uaGZ72ILJ827pKa86MF0+nViG0M5JkAOjCDXXhzr7Oyk1btAx6Hfa1q7+35/No4Q8RERFpMQBERERERNtm1pmbI8AAbQPQuBAAcnoCePHSpHL+/ptbt3W7csHejkqs7C7sH3MlPFIp28Zm1J9jE9t/iookSdoWIF9w09toA0BrX592tjhQYjYAAPzBCB47OYI/+78n8af/fhLfeqIPMwux17dSiwG72iq2+l8gIiIiylsHOrUNosmMEwqFo9pml3oGgApJidkAe2lsYUY4EsWs8B48GdrxX4XX/gNA09ozPJ3cKG4xALS/c+PxXys2azwlIiKi/MAAEBERERFtG00DkCPXAkDqzjWxAejxU6MIR2I7rHc0lmNns33bty3bbFYT2htiO95lGbi0QQuQLMuYc/ng8gSS2tGfCWMz6oGDphoGgIqNGABa8oU3vf5mASCDXof339+Dcqt2dfHojAc/OzWinD+0sxoGPT9qExERUfHa0WSHZXmc0Jzbj8kkRj2NiM0uFSWa93RUGMQWoMkUR00NaMbEFWZIrFUYATYy7UE0wc/XHl9ICUhJErBHaPbZyD4hKDQwsZjw4xEREVFuMWR7A4iIiIioeOTyCLD6KiskADKA6QUvQuEIwhEZT54ZU65z/82tm1ZnF6r9nZXKTtaLN+ZxfHdd3Ot942fX8cQrowAAs1GPKrsFVeUWVNktqLZbcHjn9o1QE4NczTVlG1yTClHSDUDC61PVOg1lx3fX4WhPDS4NLOD5ixM4c30WobB2vBjHfxEREVGxM+h12NNeiVeuzQCItQAl+hlAE+zg+K+CVFdpRe+IEwAwOe/VNM8k6saE2ohTqM8TR5kJZSVGeHwh+IMRzLr8qHVsvh/l4sAcVqI7nY3lCYfoHGUm2KxGLHpDCIQimHX6UFth3fyGRERElFO4LJGIiIiItkVUllcFgHKrAchs1CutRLIMTMx58cy5cfgCseaQ2ooSHN5Zk81NzCqxNvzCQPwa//5xlxL+AYBAKILx2SVcuDGHp86M4btP9ePPv3YK7qXNwxjpIAaAOAKs+Ig7uj2+jcfWybKMeXdAOV8ZpwFohV6nw4EdVfjIm/fhi799Oz74ul3Y1eoAABzoqsbejsRW2BIREREVsn2d6nuiCxs0iK52Y7zwm12KnaYBKIl2qBWBUARTy7fTSRJaawtzsYckSWitU/9vI1OJjQG7eEP9fUt0/NfK44ljx8RRfERERJQ/GAAiIiIiom3hXgoiHIk1ZZRaDCgx514ZpTgGbGRaO9bntcdbodMVZ/sPENv5vhKocHmCa3YGyrKMh/6nTzm/3rcqEIrg6vBCxrZzRTgS1dTJNzIAVHQ0ASDvxgGgJX8YgVAEAGA26VFqSez1qcRswB0HG/HJ9xzB9z//AD73kVs5/ouIiIgIwP4ONXjQO+xU3mttRmwA6mQAqCDVV4kjwJY2uGZ80ws+5XS1wwKjQZ+W7cpFrbXqGLDhqc0DOVFZxsUbc8r5ZAJAgLY5lwEgIiKi/MQ9k0RERES0LWaduTv+a4UYEvnJC0OYW24EsVmNuG1ffbY2KyfodJKm2eSCsFMRAM72zeLaqAsAoNdJ+Jc/uBf/8PE78GcfuAkf/YX9ONRVrVx3KMGVi1sxNe9FJBprKaoqN+dk4IwyK5kGIM34r3JLSqP+jAZd0Y4IJCIiIlqtym5RPl+FI1H0JrAIwOsPKY0wep22/YQKR8MWG4CmhNuIbUKFKNlGnuGpRbiXFz/YrEa01ds2ucXWHo+IiIhyDwNARERERLQtZl3CKr0cG/+1QhwTJe6IvPdIM0zGwl1VmKh9QgBIrBWPRKP47lP9yvnX3dqOxuoylJXEdjge6a7Bib11yuUjCaxc3CrN+K8aHjgoRkkFgNzaABARERERbd1+cQxY/+ZjwAYm1YUCzbVlBd3sUsyqHRbolytjnZ6gMnY7UVML6mf1uooCDwAJIbjh6c0X0lwQPqfv66iELskFCgwAERER5T8GgIiIiIhoW8wKDRvVjtw8wB5vTJTJoMM9R5qysDW5Z59QH9435lJ21D5zbgITy+O2Ssx6vOvVPWtu21YnVpcvQpbljG7r2IwQAOL4r6JUZk01AGTO2DYRERERFRNx/NDqBtF4BsY5/qsY6HU61FaorcBioCcR4mKdusrcbBdOl/pKqzJieN4d2PRzjfh7ti/J8V9AbJ/ISjhr1uWH159cOIuIiIiyjwEgIiIiItoW2gag3NxJ11BlxeoFcrcfaIDNasrOBuUYe6lJCfJEojIuDy7AHwzjB88OKNd5/Yk22MvWBihqKkpgMcVW8Lq9ITg9wYxuq7YBiAGgYpTyCLAcbSgjIiIiyjc7mx0wLzepTjt9mwY9BibUAFB7Q3Kjiyi/iKO7JueSCwBNLaj7FuoKfASYQa/TfJ7dqJVnyR9C/1hsLLcEaEZ4J/N4DVXq443OsAWIiIgo3zAARERERETbQtMAlKMH2E1GPWocajhJkoDXHG/N4hblnv07hBr/G3N47OQI3EuxME+FzYz7jrXEvZ1OkjR14sNTm9eXb8WYsKOyqZojwIpRMgGgeaEBqJIjwIiIiIjSwmjQYXdbhXL+Qv/6LUCyLOMGG4CKhiYANJ9kAEhsAKrIzcVF6dQqjuXa4HP05cEFrBTttjfYUJ7iQqaW2sQCR0RERJSbGAAiIiIiom0x68z9ABCgHRd1tKcWtY7C36GYjH0dao342b5ZPPrSsHL+LXd0KCt842ldNQYsU4KhCKaXV4VKUqzZiYpPUg1AmhFgufv6RERERJRv9nWqCwguDsyve72FxQBcywsLzCa9poWECk+qASCvP4RFb+y9vUGvK4rwvmYhzQaBHDFgtz+F8V/q46mf2xkAIiIiyj8MABERERFRxkWjsvYAew4HgG7eUwcAMBv1eNOt7dndmBy0o6kcJWYDAMC9FEQgFAEANNeU4rZ9DRvetrVObADK3I7EiTkvlhc+otZRAtMGoSQqXMkFgALKaQaAiIiIiNJnnxBEuDq0gFA4Evd64vivjnobdDop7vWoMNRXpTYCTDv+qwS61TO8C5B2IU38z9GyLOPCgBoA2relAJD6uZ0jwIiIiPKPIdsbQERERESFz+kJIBKNRTJsViMsptx9G3p8dx1aastgMRlQYTNne3Nyjl6nw972CpzqndF8/R33dG26k75N2HE5lMEGIHEnZVMNx38VK4tJD71OQiQqIxiKIhiKxA2DhcIRZYydTpLgsKVWlU9EREREa9U6SlBXacXUvBfBcBS9I05Nq+iKG2IAiOO/Cp6mAWjBi6gsJxTm0Y7/Ko6m12bhM+3E3BJC4SiMBu3a/pFpD1ye2GeaUothSyP0VgeAolGZgTwiIqI8wgYgIiIiIsq4WVd+jP9a0VBVyvDPBlbXie9uq8C+jsp1rq1qrC6FfnnH4azLD69/41aWVI3PLimnxZFuVFwkSUqoBWheaP+psJmg1/FjMhEREVE67RfGgF3ojz8GbGCcAaBiYrOaUGqJLQwKhqJwLgY2uUWMOC6srrI4xnVbLQbUOGL7USJRWfN5d4U4Xm9vR+WWAjvlpSbYS2OLIoKhKKadvk1uQURERLmEezaJiKggRGUZJ69M4VzfLGRZ3vwGRLStZl3qDqMqe3HspCtkq+vE33lPF6QEVmsa9Do01aiBnEyNARsTA0A1DAAVszLr5gGgWXE8Icd/EREREaXdAeHzw4Ubc2suj0ZlDE6qDaGdjQwAFQNxDNjEfGJjwDQjwIqkAQgAWmvVNt2R6bWfoy/0q79XqxfspKJZaAGK93hERESUuxgAIiKigvDs+Qn8nx9ewv/+7nlcGoi/moyIsmfGqR5gr8mDBiDaWIXNjLfc3oFyqxHvvKcLbfW2zW+0rFUYAzacoTFgYxwBRsvKLAk0AAkNZZV8fSIiIiJKu+4WhzKyaHLei5lVjSIT8174gxEAgL3UxDbWIqEZAzaXYABICAqJty90LXXq59rhae3naF8gjL4xl3I+kXbeTR9PEwDK3PhuIiIiSj8GgIiIqCC8dHlKOX2+f+1qMiLKLnFnVEMVG1kKwZtu78AXP3YH7r+5NanbtQkBoKEMNAD5AmHMLY900usk1FWwcaqYJdIANMcGICIiIqKMMhn12NVaoZy/uKoFaPX4r0TaRSn/aQJACTQAybKMqQVhBFgRfdbTBHKWP0fLsoyBCTf+86fXEInG2tBb68pgL9t6gE58vNHptSPHiIiIKHcZsr0BREREWxUMRXB9VA0XjM6wmnZibglXhhZwtLsmLR/8ibYiFI7g+ohTOb+7rWL9K1PBa91g5WI6iOO/6qusMOi55qGYlZUwAERERESUC/Z1Virjv77x+HU8f3ES3a0O9LQ4cHV4QbleB8d/FY36SnVxUCIBoEVvCL5ArCnKYtKjvNSUsW3LNeIIsOFpD37ywiCevziJiVXNSekY/wWwAYiIiCifMQBERER57/qYC+FIVDk/Mu2BLMtFu2IsFI7ir795Bi5PEKeuTuOT7zmS7U2iItc35kYwHPsdrasoQRVH7BS1ltoySABkABOzXgRDEZiM+rTdv2b8VzXbpoqdJgDkXScAJIwA4+sTERERUWYc3FGFbz1+HTKASFRG/7gb/eNuPPLisOZ6nQ0MABWL+qrkRoCJIaG6SmtR7ferLDej1GLAkj8MXyCM7/38xprr1FWU4J7DTWl5vPpKKwx6CeGIjDl3AEv+EEqF8cpERESUu7gcloiI8t7lwXnN+SV/GAuLgSxtTfZNzXvh8gQBAFeHnes2HhBtF/F3dE/71mfRU36zmAyoXa56j8qyprEnHcT7a6op2+CaVAwSaQCad6vvGSrZAERERESUEbUVVvzy/T1oqtk4pN/eYNvwcioctY4SrGR45t1+BEORDa8/NV+c478AQJIkTSvPCrNRj1v31eN/vesQ/uLDJ9L2ecag16FRGN8+Os22dSIionzBBiAiIsp7VwYX1nxteNpTtAfxZoVRJgDQN+bCoa7qLG0NEXBZ+B3d087xXwS01ZUpO2+HphbRkcZVvmMzagComQ1ARW+zAFBUljG/KI4A49hMIiIioky561AT7jrUhEVvENdHXbg24kTvsBPD04uQZeBIdw1bRoqI0aBDjb0E004fZABTC764IZcVUws+5XR9pXXd6xWq2/Y34OqwE5IE7GmrwK37GnCkuwZmU/oadUUttWUYXg7+jEx70NPK/TlERET5gAEgIiLKax5fCEOTa2dRj057ijb0Io4yAYDro86i/V5Q9i35QxicdAMAJAC72rjDiGI7Ek9emQYADE+ltpJwvVGP2gYgBoCK3WYBIPdSEOGIDAAotRhgMfEjMhEREVGm2awmHOmuwZHuGgCA1x/GrMuHZjZ4Fp36KiumnbFgz+S8d+MAkKYBqDgDQDtbHLAY9SgvNWX88cSfxQgbgLZsvX0YRERE6ca9m0RElNeuDi1AjvP1Yv5gOuvyac5fH3VlaUuIgKtDTsjLv6TtDTau5iQAQFudWus/PLU2xLkRrz+Mv/v2GTg9QbzvNT04tFMNOLq9QbiXYiMQTQYdqh3FVQtPa5VZ1decxTgBIDE0W2UvzuZAIiIiomyzWgxotXD0VzGqr7TifP8cAGBybuPx0FMLQgCoCBuAgNjYtO3CAFB6hMIR/N23z2F8dgm//qa92NtRme1NIiKiAqfL9gYQERFtxeUhdbSQ+AGqmD+Yzq5qABqccCMU3niOOlGmXBmaV07vaedODoppFQJAo9MeRKPxopzxPXV2DAMTi1hYDOCf/vsCXr46rVw2Loz/aqguhY6r64qe2AC0FC8A5BbHfzEARERERES0ncRRXpNCw89qUVnWjACrq+Rij0xrFgJAY7NLiESjWdya/HWqdwbXRpzw+EJ46Mm+bG8OEREVAQaAiIgor10eVMMFrz7WjJVjvVMLXgRCxRl6WR0ACkdkDEwk17BB2SPLMmQ58TBErrs8qIb0dnP8Fy0rLzXBURarLA+Goxvu6F3tlBD4iURl/J8fXsQLlyYBaMd/NVdz/BcBtk1GgDEARERERESUPYkGgBbcAYTCsQBKWYmR7cLbwGZVP7eHwlFMzfs2uQXFc0VYvDo87cHYTPEuWiUiou3BEWBERJS3Zp0+TC+v/jEZdNjdVom6Cism572QZWB8dgkdDeVZ3srtN7cqAAQA10ed6G5xbP/GUFJ+fnYM33z8OswmPbpbHOhucaCnxYHmmjLodPnXZDLv9is78IwGHXY227O8RZRLWutscHpiVe/DU4toTCCwM+v0YXBSG2iUZeDfHr6McCSqCQA11ZStvjkVoRKzATpJQlSW4Q9GEI5EYdCr62DmXQHldCUDQERERERE26q+ShsAkmUZUpwmV3H8V32Rjv/KhpZa9XP76Iwnoc/tpHVVCAABwIuXp/C2u7i/goiIMocNQERElLfE8V/dLQ4YDTpNPW0xjgHzBcJxGw6uj7qysDWUjJ+9PIL/eLQXwXAUi94QTvfO4JuPX8env/oyfvt/P4MvPnQOL1yczKt2ILH9Z2ezHUaDPotbQ7lGHAM2PJXY6/Wp3hnldFezHU01sZ2PMoCv/r+rePnKlHL5ymVU3CRJQlmJuu5l9d9IsQGo2s4AEBERERHRdrKXmmAxxfYV+AIRuJeCca83JbQD1VVw/Nd2aSny/axbNeP0rWlqf/HSFKJ5tG+PiIjyDwNARESUt8TxX3vaKwGs+mCa4AHlQiIeyDQb1bBF36iLHy5z2CMvDuGbT1xf93JfIIzz/XP4yo8va4JvG5FlOes/88tDa39HiVa01amv10NTiY0pPN2rjv+640ADPvnuw2gVXveX/GHldBNXJtKyUnEMmHf9ABAbgIiIiIiItpckSQmNAZtaUMdP1bEBaNswALQ1q9t/gNhn0D4u1CQiogxiAIiIiPJSVJY1M5T3tFcAWP3BNLEDyoVEXFWyo6kc5dbYQU9vIIzxmaX1bkZZ9KPnBvDQU/3K+a5mOz71/mP4pdd04/juWthLTZrrD064N73PQCiCz3ztZfz2F5/R/J5sJ1mWNQ1AK7+jRCu0DUCLm7Zbzbv96B+PPf/1OgmHd9bAZjXhE+8+jPZ6m+a6JWY9Kmzm9G805SWbGABa3QAk/N2sYgMQEREREdG2E8eATawTABKDQQwAbZ9ib1rfqivD6n4xs0ldqPnipclsbA4RERUJBoCoYAxNLuLh5wYw6/RtfmUiyntjM0tYXF7FX1ZiVD6Qik0QIzNLeTUuKR3EA5nV9hLsbHEo56+POrd/g2hdsizjPx+5gh88M6B8bVerA7/7zoPoaCjHq4404yNv3ocvfPQ2vOX2DuU6Lk/8OmzR+f45DE954AuE8V0hXLSdxmaXlOruUosBrbW2TW5BxababoHVHBvNtOQPY94d2PD64viv3W0VKFsOdZSVGPGJdx3GjqZy5fLWWhskScrAVlM+Kl0nAOQLhOENxFqjDHodbFbjmtsSEREREVFmaRqA5tZpAOIIsKyoryyBQR87jLiwGFizoILWJ69avPrWOzqV0y9fnUY4Es3GZhERURFgAIgKQigcwRe+cxb//cwA/um/LxbdAX+iYqQd/1UB3fKB3gqbGaWW2AFlXyCsGe1RDLQBIAt2NjuU89dZL5szZFnG1358Gd9+/Jrytb3tFfj4Ow7CYjJoritJEmqFnVvOpc0DQPPC835gwq3ZUbZdxPaf3W0V0OkYxiAtSZLQKowBG95kDNgpYfzXsV21msusFgN+952HcNu+ejTXlOKtd3auvjkVMTHY4/GFEI5E8fS5cXzmqy8rX68qNyvvJYiIiIiIaPuIAaB4LTPhSFTTeF1XwQag7aLX6dBUo47XZgtQ4ibnvcoiPqvZgHuPNqFqeez0kj+MC/1z2dw8IiIqYAwAUUGYWvApTSBDU4sYn+WYG6JCtzpcsEKSJDTXFG897axLbUGrsluws9munGcDUO547OQIvv9Un3L+wI4qfOztB2A26uNe316mjjJyeTZuSQEA56rrvJCFauErQkhvd3vltj8+5QdxDNjQBgGghcUA+pZDjDpJwuGd1WuuU2I24ENv3IM//9DN6Bbaz4jEBqCTV6bwh//6Ar72yFVMC82hO/mcISIiIiLKis4Gtc316tACpha0i5jmXH5EorEFvxU2s2aUEmVeywZjwObdflwZnGczUBxXhfafnlYH9DodTuytU772wuWpbGwWEREVAcPmVyHKfeIKAAB45doMmoQAABEVlnAkit4R9UPUnlXhgpbaMvSOOAHEPpge3lmznZuXVbOrGoBa68pgNuoRCEUw5w5gzuVHld2SxS0kAHjqzJhy+vDOanzkzftgNKyfy3aUmZTTiYwAW32dFy9N4c23d2zbSKRwJIqry7+DQKyliygebQPQ+oHNV66p4796Wh2wWU3rXpdoNVuJ+ny5OuzUXFZqMeC+Yy143c2t27xVREREREQEANWOEuzvrMKFG3OQATxxehTvua9buVwMBHH81/YTA0C9wwsoMetxbcSJ3mGnsh+yrtKKT3/gppTDWVFZxs/PjCEclXHP4SZl7Fg+E8d/7VpevHpibz1+8sIQAODs9Vl4/WFYLTxMS0RE6ZX/f0WJoB15AwCvXJvN0pYQ0XboH3MhGIrNSa5xWFDj0H7432hlSqHTBoBKoNfp0NmorqS6PubMwlaRSJZlzC+qDT2/+sY9G4Z/AMBeqjYAOZcCm466XN0ANO304caEO4WtXd/1USf+6j9P41tPXEcgGNFcNjDhVr5WVW5BrYM76Cg+sQFoeHr9BqCXr64//otoM6Ula3eolpUY8ba7OvHXv3Er3nx7B0zrNLAREREREVHmvfpYs3L62fMT8AXCyvnJebW5s66S47+2W4uw0PrM9Vl89f9dxXMXJjX7IKfmvXj2wkTKj/Gzl0fw4E+v4ZuPX8dzW7ifXBGVZc3ik5X2+qbqUrQu77cOR6I4fW063s0BAKFwNKPbSEREhYsBICoIqwNAQ1OLmjE4RJR/orKMayPONb/fgHb81+r2HwBoERolRosoAOQPhpXKXb1Ogn25NUY7BsyVlW0jlS8QRjgS+xBvMelRYt58pU+JWQ/TckgoGIrCvypws5ozTkvQixfTVy0ciUbxlYcv49qoCz99eQSf+drLGBbGN2l/Ryu2rXmI8k9DlVUJwM27A3Frw12eAK4vN0pJEnCku3ha3Sg9upsdWHkZspeZ8K5XdeFvfuNWvOGW9oReg4mIiIiIKLP2dlSioSoW7vEHI5oQyNS82ADEANB2E/ezrqYT9vc8dnIYkWjyoRVfIKy04gDa5px8NTrtUfZv2KxGNFWXKped2FuvnH7x0tp9dV5/CP/4vfP4jb/7Ob738/7MbywRERUcBoCoIMQL+5xhCxBRXvvq/7uCv/qvV/DJ//M8vvLwJYzPLimXXR6aV07HCwA1VpUqB/qmF3xr2kkKlRiWqrJblA/hO1scytevjzAAlG2uJTWcU2FLbBybJKmBLmBtw89q8S4/eXVKCR5t1eneGc1Kr8l5Lz739VN4/NQIZFnG5cGNf0eJVuh1OjTXqDvCTl5Zu/PrlWszWOm86mlxwF7K8V+UnLpKKz79weP42NsP4K8/cgtec7w15Wp6IiIiIiJKP0mScN9RtQXoidOjiC63H2tGgFWyYXi7lVqMOLGnDkBsgdqBHVV4+9078EfvO4p/+PjtKCsxAoi1kp/undnoruL62akRzWKgoQ3Gg+cLsf1nV6t2YdzNe+qwcu7q0AIWhJbwGacPf/HgaZy5PouoLOPRl4bZBEREREnLSADo+9//Pnp6enDq1Kk1l01MTKCnp2fdf+9+97szsUlU4GbjNIS8ci35N5tElBsuD87juQuTAABZBl64NIVP/dtL+OcfXMS1EScGxmNNIxKAXa2ONbc3GfWoX64ElgGMzuT/B8dEaMd/qcGSHY3lShhobMYDr39twwZtH7cQAHLYzBtcU8tepl7XFafhZ4U/GFYaggx6HSqWH2PRG9IEc1IlyzIeeWl4zdfDERnfePw6/uG753FjXB03tlJzTLSenhb1OfJfP72GZ86Nay4/JexAPNrD8V+UmpbaMhzqqobRwOAPEREREVEuumVfvdLQObXgw4X+udhpoQGoniPAsuLDD+zB3/3WbfjHj9+J33nHQbz+RBu6muywWoy453CTcr1HXxredGy9aMkfwmMnRzRfm573wh8Mr3OL/HBVaDFavV+swmbGruWvyQBeuhxbCNU36sLnvn4KE3Pq8z0SlTWLYomIiBKR9gDQmTNn8NnPfnbdyy9fvgwA6OnpwQMPPLDm3+23357uTaIiEC8AdG3UCbd3/QOkRJSbwpEovvH49TVflwGcujqNv/qvV5QVQK11Ntis8ZsgWmrVetqRIhkDtl4AyGIyoHW5rlcG0DfGFqBscqUYAHIIrSfOpfUbgMRwkKPMhJt31ynn41ULJ+vqsBNDk7EQntGgwx+894jy/AKAc/1ziERjv6MttWUoZ1sLbeL1t7ShuUZ9jfrqI1fx5CujAAC3N4irw7EdZxI4/ouIiIiIiKhQWUwG3HmwQTn/+OlRBEMRzLtj+0AkCahxsAEoGyRJQoXNDJ1u7Yj3e482K6O9BycX0Su032zmsZPD8AW0YR8ZwOh0/oZeItEoekfWDwABwIm94r66Sbx4eRJ//c0zWPSuXbSZyH7tSDSKSwPzmnZ4IiIqXoZ03tljjz2GP/zDP4TX6133OleuXAEA/Oqv/ire9KY3pfPhqUj5g2GlItKgl9BWZ0P/uBuyDJy7Pos7DjZmeQuJKBlPvjKmrGwwm/T49Tftxc/PjOHc8qof0Z729ZtFWmrLcPLKNIDiCQBpR4Bpd4jsbHZgcDm0cX3UhQM7qrd120glBnQqMtAAJI7/cpSZcWJvHR49GWvseeX6DPzBMCym1N8CPiq0/9y2vwHdLQ788fuO4aGn+vD4qVHNdTf6HSVaUVZixCffcxh/962zGJqKvU49+NNrCEdkGI06rCwe7Gq2J/U7Q0RERERERPnl3iPN+OnLI5Bl4NLAPM71zykjoavtFhj0GRlqQVtQXmrCbfvq8dTZWJvvoyeHlYabjbi9QfzsZXU/kr3UpCyaG5paRFezPTMbnGFDkx74ArFm7gqbGbUVa0NrR7tr8Z8/vYZQOIrhaQ++/KPLymVlJUbsbLbjzPVZAIk123/vqRt49OQwSi0GfO5Xb9bsQyRKRiAUwU9fHkG51Yg7DzZqxtcRUf5Iy7ulyclJfPKTn8THPvYxRKNRVFevf1BxpQFo79696XhoIu0B73ILjvSoK8NX3iQRUX5wLwXxg2cHlPNvuq0dh7qq8fF3HMSffeAmHO3RNj8c7Fr/742mAahYRoC54zcAAcBO4UPz9RHndm0SxSE2AFWUWza4ppajTG3S2SgAtKAJAJnQUluGpupSAEAwFMWZa6n/bRyd8eDCjVgYTwLw2ptaAMSagN5zXzc+9vYDyux3ADi8k20tlJiyEiN+792H0NFQrnztm09cx38/fUM5f2wXx38REREREREVsmpHiWZfwnf+p085XcfxXznrtcdbsRITON8/h7EE9sU++uIwAqFYUKapphSvPd6qXDa8vDgoH620GAPArtaKuAEKq8UQd792Q5UVf/L+Y7htv9qElcjC1pevxhq/l/xhPHthIpXNJgIAPPLiEP776Rv4j0d7cWlgPtubQ0QpSksA6Itf/CJ++MMfYt++ffj2t7+Nzs7Oda975coVWK1WdHR0pOOhiTQjb6rsFs1oiIsD83k/L5aomHzv5/1K7WtdpRWvPtaiXNZWb8NvvXU/Pvuh43jdiVZ88HW70N3iWPe+WmptyunRaY8yNqyQzbl8yumq8vUDQDcmFhEKR7dtu0jLJYzvSqoBqFS9bqIjwOxlZkiSpKkWfuHSZMKPudpjJ9X2nyPdNWt2vh3qqsZnfuU43nhrGz70ht0b/o4SrWa1GPGJdx3SrPIT66+PcvwXERERERFRwXv1sWbl9Jyw2K2uggGgXFVXacVh4TP7YydHNry+0xPAE6+o7T9vub0TbcJ4+eGp/F3MeWVo4/FfK24R9tWtXPeP33cUtY4S7cLWaQ/kDfZru5eCmHOr+wmfvzi54fWJNnK2T1042stFxER5Ky0BoM7OTnz+85/HQw89hJ6ennWv53Q6MT4+jo6ODnz1q1/Fm970Jhw8eBC33347PvWpT2Fqaiodm0NFRgwAVdstqKuwoqkm1nQQjkRx8QZTqkT54NrwAp49r65QeM99O+PW+jbVlOEdd3dtOt7PUWZSmkj8wYjmtaJQrX49FNnL1MrZcCSKocn8XUmT7zQNQLb0NwA5VzUAAcDNe9SdCpcG5zXbkKiFxQBevKS+V7v/5ta416uwmfELd+7QrFYiSlSJ2YDffedB7Gp1aL6+o6kclUk0ZhEREREREVF+6m5xoLmmbM3X69kAlNPuFxp8Xrg0iYXF9Rev/eSFIWVxYludDUe6q9FSpy7mHJv1IBzJv8WL4UhU07y+q82x7nX3d1ZhV6sDOknCPUea8P+98yCslti+7Gq7BSVmPQDA4wvBucF+wMFJt+b8xJwXNybc61x78+1/4vQovv/0DWWRLhWPJX8II0L4bnx2KYtbQ0RbYUjHnfzar/1aQte7cuUKAODSpUu4du0abrrpJtTX1+PChQv4zne+gyeffBJf//rXN2wQ2gqTyYCaGtvmV6S84g2pbwRbG+2oqbHh9kNN+PbPrgEALg058bo7dmRr87KOz3nKB9GojC//9wVlpvfxPfV41c3tW77fziY7zi+n1t3+MPYW8O+DPxBWmjIMegldHdXQ67QVs/u7qvHEy7EVOOMLPtxyuHnN/VDmef0R5bTDZk74dbpd+Hu36AuteztfnL+LNTU27O2swqUbc5Bl4PKwE2+6M7m/jT95aRiRaOy3dHd7JU4c4vOHNpfq+5DP/sZt+IuvnsTZazMAgNecaOd7GsobfK5SIePzm4oRn/dUjPi8p2z7hXu68A/fOav5Wnd7VVqem3x+Z0ZNjQ27nx3AlcF5RKIynr88hQ+8ce+a600vePHzs+PK+Q88sBe1tbFx4LUVJZhe8CEckeGPAh31+fWzunRjDsHlYFN9lRW7uzYeZf7XH7sT/mAEJea1h2o7Gu24vDyCyR2IoLsz/vdi+pWxNV975focThzU7rfb7Hk/MbuEv/nWK0qAyWDU40Nv2rfhbaiw3Lg4AbE7anLBlzevl/mynUTbJS0NQIm6fPkyAKC7uxuPPPIIvvrVr+LLX/4ynnjiCbzxjW/EzMwMPvGJT2znJlEBmJ73KqdXakBv2ae2Dpy6MslRN0Q57snTI+hdno9s0OvwoTev/XCYivbGcuX04HhqKx/yxfSC+lpY47CuCf8AwJ6OKuX0Zc7wzZqFRbWpKZkGILH9ZMG9fqPVglscMabe5u4j6gf/J4Wa5UR4/SE88sKgcv4X7ulK6vZEybKYDPjUr9yMD71pHz785n24/0R7tjeJiIiIiIiItsldR5pRXmrSfK1xufWfctdb71b3Fz36wiC8/tCa63zn8WtKu8+utgoc3aWGZDqb1JHg/aOuDG5pZpwXxicd6Np8jLkkSXHDP0AsALRiYHz978X1Ueearz19dgzBUGTtldfx1OkRfPwLT2nai54/P85RYkXmQv+c5vzk3BICSTyPiCh3pKUBKFEf+MAH8JrXvAalpaWorKxUvm61WvG5z30OL7/8Mi5duoSzZ8/i0KFDaX/8YDAMl8uX9vul7BqbVsfYmHTAzMwibCYdqsotmHP7seQP49nTw9jXWbXBvRSelcTrzAzH/FBu8wXC+NpPLivnX3u8BUZZTstzt7rMrJy+Ojhf0L8P1wfVN+iOMlPc/2u9Xf1+XLoxi6lpN3TS2qAQZU40KmtHdNni/6zikWUZep2ESFTGkj+MsXEnTEb9muuJYTApElHuf1dzOQx6CeGIjL4RJ85fnURDVWI7zx59aRhef6z6t77Sio7a0oL+faKtS9f7kNv2xHYEzs15NrkmUfbx/TcVMj6/qRjxeU/FiM97yiV3HmzAj58fAhBru5bCkS09N/n8zrzOulLUVVoxNe/Fkj+Mh37Wi2M9NZhz+THr9mPW6cfjJ4eV67/xljbMzqqf9+sdJcrpS30zONhRsa3bv1WnL08qp9vrtrbvrMqmBuCuDszFvS9ZltE7tKCcLzHr4QtEsOQL4WcvDOD47roNn/f+YBj/9dNreO7i5JrLphd8OHtlMu44PipMZ3qnNOdlGbhwdQptOdzExdd1KmRbabba1gYgvV6PlpYWTfhnRUlJCU6cOAEgNiKMKFFzQgtCtT32BlGSJBzpVhPWryyPjyCi3PPwc4NwLs+ErrCZ8YZb2tJ23y216geUkenCfhM46xJfC+O3ytRXWmGzxmZJL/nDnOObBYu+EFYWz9isRhgNawM865EkCfYy9cO/cyn+/G9twEgNfZVajNgvhGFfuLT2w3084UgUPzs1opx/7fEWBseIiIiIiIiIKKPuOdwMkyF2CKuz0Q5dnLZryi06ScJrj7co57/7VD/+4F9fxN986yy++v+u4uHnB5Xx8rtaHdjdpg34tNapBzuHp/JrX24gFEG/0NSzq3Vr4SXtfu34i6IWFgNwL+8fNJv0ePUx9Xv/3IWN9/sNTS7iM187pQn/1FaUYEeT2qh/flUjDBUurz+Ekam1zzMePyDKT9saANpMdXU1AMDnY0sPJSYQjGDRG6uR1Ou0B0aPdFcrp89cn0WUdYVEOenZCxPK6XfcswMWU/rK6RqrS5VRWDNOP3yBcNruO9ckEgCSJAndzQ7l/DWh1pW2h1sI7TiSGP+1wl6qBnpcQtBnhS8QRiAYq2Y16HWwrqoRvmVvvXL6sZMjGJjYfDTey1emsbAc0isvNeHWffWb3IKIiIiIiIiIaGsqbGb87i8ewhtvbcevvmF3tjeHEnTbvnqULy9AXI9eJ+Ftd+2AtGqBWWudGnoZnvbk1TGdvjEXwpHY9jZUWeEQmulT0VxdhpXvzuS8N+5Ir4EJNSTVXmfD7fsblPMXB+Y0iwRFV4YW8BcPnsLUvNoifsveOvzZB27C3YealK+JI82osF0bcSHeb9sYA0BEeWlbA0Bf+tKX8LGPfQy9vb1xLx8dHQUA1NfzwBIlZlZo/6myWzSNBDubHUrThWspiBtjmx/kJKLtFQpH4PGpIb7ju+vSev9Ggw71VVbl/NhM4b5h1QaASta9XneLQznNAND2cy2pH7wrbMnvCHAIQVeXZ20DkEsMGJWZ1uxIObSzGo3VsbFfoXAU//i980q4J55Zlw/ff/qGcv7eo81JtRYREREREREREaWqu8WBX7izE9WO9fd1UW4xGvR41307oddJkBDb/9XVZMfNe+rw+hNteN9re/DpD96EHU32NbetsJlRVhI7puMPRjDjzJ+ygEs35pXTq5uNUmE26VFbGduvLcvxgxiDk+oxr46GclQ7SrCr1aHcJl77t8sTwL/+6JISVjIb9fjQG3bjww/sRYnZgP2dVUrwqG/MjSV/aMv/F8p9V4fVUXJV5eo+azYAEeWnbQ0A9fb24rHHHsMjjzyy5rK5uTk899xzMBqNuPnmm7dzsyiPzbnUN4BV5domBZ1OwqEutQWIY8CIcs9KgxcA2MvMGRkr1FJTHGPA5lzaQOR6VgeA5DxaSVMIxNBORSoNQMLqoXireJyL8cd/rTDodfjtt+1HqcWwfB9BfOn7FxAKr11FNL3gxef/6xVl1KbFpMc9h5vWXI+IiIiIiIiIiGjFiT31+Jf/dRf+9ffuxt/91m34o/cdxa+/aS/efvcO3HO4CU3C/lqRJEloE1uA4owkylXn+tW2nP2dVWm5z5aaUuX0aJwxYINCs3d7Q2x82m1CC9DzFyY1+36jURn/+qNLSkN5eakJf/bBmzS3KS81ob0hNgYsKsu4KASbqHD1DjuV03cJLVBjs/nzO0hEqm0NAP3iL/4iAOCrX/0qTp8+rXx9aWkJf/RHfwSPx4O3v/3tqKmp2c7Nojy22cibI93qc+mVazM80E2UY9xeNQwhjvBLJ3F2tNiOkotkWcblwXlcHkz+g5UYiFxvBBgQmx9dYo41uDg9wbxaSVMIxBFgFeUpNACVCg1AcZ7PTqFhSLyuqK7Cio+8ZZ8SuBuYcONrj1zV/I2cmFvC579xBnPu2P0Z9BI+8ua9yiosIiIiIiIiIiKi9Rj0Ohj0yR+CFPflDk/lx2LOGacPE3OxcVpGgw670tAABMT2464YWRUAkmUZg5PCCLDl0M7RnhqYjbF9v2OzS+gbdSrXefj5QVxdDnpIAH7tgT2or1Tb81cc3KEGmMRgExUmrz+k/K5JEnDnwUasrNOedfoRiDN+johy27YGgG6//XZ88IMfhN/vxy/90i/hve99Lz760Y/i3nvvxVNPPYVjx47h93//97dzkyjPbRYA2tNeAbMp9mZnWngTRkS5YXUDUCbcfqABjdWlcJSZNKHAXHS2bxZ/+62z+NtvncWpq9MJ3y4QisDtVUepbTRjWqeTsLPZoZzv5RiwbaUd0ZX8c14MysVvAErs/ve2V+Jd93Yp51+4NIVHTw4DAMZmPPj8N84oo8GMBh0+9vYDOLCjOu59ERERERERERERpYMYABrKkwDQ+f455fTutgolgLNVLbXq92J1AGjG6cOSPwwAKLUYULN8fMxiMuBYj7oP/ImXRwAAVwbn8aNnB5Svv/HWduxpr4z7uAeFyRoXb8wjGuXC+kJ2bdSFlZ9wW50N5aUm1FYsj59DbKEoEeWXbQ0AAcAf/MEf4Itf/CKOHDmCy5cv45lnnkFNTQ1+7/d+D1/72tdQUsJZrhQTCkc0TQnxaANAa587RoMe+4Q3MeIbMSLKPvcWwxCJKCsx4nO/ejP+9jdv03yAzEVi6Ofx06MJ304c/1VZboZOt/EotdVjwGj7uLbYACQG5cRxYivEUFC8EWCie482486DasXvd5/sx6MvDePz3zij/G6ajDr8zjsOYl9HeqqLiYiIiIiIiIiI1tOahRFgLk8A0S1MjzjXp7bkHNiRvn1oqxuAxPbugQlt+48kqfuDxZFeT58ZxfSCF19++LIS8tjV6sCbb+9Y93Fb68qURYgeXwg3xt3rXpfyX+/wgnK6p9UBAGiqVsfPjc0wAESUbwyZuNMHH3xww8tf97rX4XWve10mHpoKhNMTwJ/935Pw+EL4zbfsx9Ge+K0d4sibqnVG3hzYUYXT12YAxN6I3X9za/o3mIhSIjYAlWdoBNiKzUIxuaBvzKWcvjbixJzLv+5rm2izMORqDABlj0sT0Nn8Z7uaQ9MAtDYAJAaM7OuMAFshSRJ+6TU9mJjz4vrySo/vPNmnXG4x6fE77zioeb4QERERERERERFlSl2lFWajPtZ4vhSE0xPI2MJRAHj0pWF858k+tNfb8Ce/fCzpfciBYEQZqwWkNwBUWW6G1WyANxCGNxDGvDug7CsemFBDOR0N2kWv3a0OVJVbMOf2Y9Ebwif/8Rlln6HNasSHH9i74f9TkiQc6KzCM+cnAMTGgHU129P2/6LcIj5/e1pj4+saq0vxyvJx1fFZBoCI8s22NwARJeKZ8xNY9IYgy8CTZ9ZvwdhsBBigfcN1fdQFrz8U93pEtP0WvZlvAMoXLk8AM06/5msvXp5M6LaJhCFF7fU2mAyxtwAzTj/m3f5NbkHpomkA2qShJx57qdAAtBRvBFjiDUBAbB77b711P6pWtRGVmA34X+86xPAPERERERERERFtG50kaZpvMt0C9PS5cQDA4OQiBiaTb7q5PDSPcCQKINaaksjizERJkoRmsQVoRv1eDE4KDUD15Zrb6SQJt+2vV86vtMdLAD78wJ6E9kke2KGOAeNkjcLl9YcxvDxqT5KA7uWgl6YBiAEgorzDABDlpLPX1crE/nF33BmjgWBEaQ/R66R1wwP2MjPa6mMJ6Kgs4+LAfAa2mIhS4RYCQPYiDwCJ7T8rXrw0pal2XU8iYUiRQa/DjiZ11ca1UWdiG0lb5tYEgJJvACovNWJlfc6iN6TsYFihGQGW4O9UeakJv/22AzAZY28LSy0G/N67D2FHI1f2EBERERERERHR9tKOAVvc4JpbJ+6rm1nwbXDN+MRwzIGu9LX/rFg9BgwAolEZQ0IAqKOhfM3tbt1Xv+Zrb7i1Dfs6EtvGPe0V0C+3BI1Me7iAtEBdH3Vi5fBDa50NVosRgDYAxAYgovzDABDlHKcnoKkvDAQjGJ1Zm/KeFd5wVJVbNqwsPCi0ADGtTJQ7xBFgm40rKnTxAkBjs0vKB7uNJBsAAoCdQm3rtZG1j03pFwpHseQPA4itxLGl8JzX63Sa24k7KQDAuSS2aiV+/611NvzRLx3FW+/owKc+cNOalUNERERERERERETbobVOHWmVyQBQOBKFNxBWzs84kwsAybKsOd50UGjNSZd4AaCJeS8CoQgAwF5mitvoU1thVdpcgFizy5tv70j4cUvMBvS0OpTzPK5WmHqF8V+7hJ93XaUVOil2zHXW5Yc/GAYR5Q8GgCjnnOubXfO1eAfG54QD3puNvDnYpb7xunBjDtEEGjWIKPPEEWD2FMYhFZK+UfV1TgxDvXh5atPbagNAidXM9gijna6NOBO6DW2N+Hy3lRqVVTTJcgjPD6dHvU9fIIxAMPbh32jQwWo2JHW/rXU2PHBbB2od6asqJiIiIiIiIiIiSkabJgCUuRFg4uJUAJhOMgA0Mu3BwmKsjbvUYsCOpvQvqIsXABoUFtB3bLCI7xfv3YkKmxldLQ78+pv3Qa9L7pAwx4AVvqvDC8rpnpYK5bTRoENdpbqPeGLOu63bRURbwwAQ5Rxx/NeK+AEg9c3YZgGgtnobypcPmC56Q5qGISLKHveS+iEr0XFFhSgUjmjmNr/97h3K6ZcuT8UdgyiacyffANTZZFcCKOOzS5pwCmWGS2jn2UrjlTguzyWM/NKO/zJBklILGBEREREREREREWVLY3Wpst9y2umD15+Z9pHV+0NnnMmNuTonhGL2dlQmHbBJRFN1KVZ28U3PexEIRjTHt9obbOvcMjYa7Oufvh9f+PidcVuCNnNQGGl2eWgeoXAk6fug3OX1hzG03LAlAehusWsubxTGgI3NcAwYUT5hAKjI3Bh347kLEzn7hzoQjODy0MKar4vNGCuSGXmjkyTs76xUzp/rY1qZKNtkWdY2ABVxAGhgYhGR5ZBPXaUVN++pQ1lJbN7uwmIAvRs09ARDEWUMlF4nJRykMhv1mg+I1+O8zlJ6uTxiACj157tdGO0ljvzS3H8R/z4REREREREREVH+Mhp0mvDByHRmxoCtbgBKdgTY+X51MXsmxn8BgMmoR32lFQAgAxibXdIsJG3foAFoRaqLBOsqrKhbfuxgKIqrwrgoyn/XR51YGZbSWmeD1WLUXN4k/A6OzzEARJRPGAAqIhNzS/ir/3oF//6TK/jvpweyvTlxXR6cRygcBQDUV1phMsSeorMuv1KluCKZABCgfQMmvjEjouwIhCIILv++mww6WEz6LG9R9vQLLWc7m+ww6HW4eXed8rUXLk2ue1ux/afCZoYuibFS3RwDtq1cS+rfsa00ADmEAND6DUAMABERERERERERUX5qrVNHX2VqDNjqBqCFxUDCi+cXvUHcGIs18UgA9gkL0NNNHAM2OOnWfD86NmgASoeDO9QWoPNcWF9QxEXHPa2ONZeLIbzxWQaAiPIJA0BF5JlzEwhHYgfbr406s7sx6zjTpwZzjvbUoKNBTS/3rxoDpg0AlWAze9orldrI4SnPmkAREW0vcYWF3WYu6nFFYvtOV3OsavPEXjUAdLp3et0Pn8mGIUU9QgBoo5YhSg/NCLCyLYwAE9qDnELrj3jasYX7JyIiIiIiIiIiyqbWOjXYMjyVmQYg96oGICDxMWAXb8xjuTwFO5rssFkzty+uuUYNAL14aUo5zldtt2T0cQHggBAAOtc/C3mlMobyXu+wOo1lV2vFmsubOAKMKG8xAFQkolEZL12ZUs6LjQG5IirLOC8EgA51VSsHwgGgb1UAaM6l1jEmctDbajFo2i4u3GBamSib3Bz/BSA2Ck18fetqir3udTaWo9YRCzf6ApF1RxcmG4YUdTU5sBK7Gp5ahC+QmXnaFCMGgMrZAERERERERERERBRXmxAAGtqmBiAg8TFg54QpE2JIJhPEBiBxP3J7fWbbf4BYg/xKc/+sy4/xOW/GH5MyzxcIK6PkJADdLfY116mrtCqlCnNuP/xBHjsgyheGbG/AdlpJxRaj3uEFTeON0xOELMs51bgxMO5WEtflViM6Gsvh8akJbLEhIxCKKNfV66SED3Qe2FGFK0OxVOu5vlncebAxXZtPRElaXBIagLYQhsh3Uws+5bWu1GJAfVVsrrIkSTixtw4/em4QQGwM2LFdtWtuP5tkGFJktRjQUleG4SkPZDn2AXJ/Z2Y/sBYzt9DQs5XnvBiYcy6JDUBiAKh4f6eIiIiIiIiIiCi/iaGXibklhMJRGA3p7TSIFwCaTiAAFIlGcfHGvHJ+OwNAInGCRqYY9Drsba/E6WszAIB//u8LKF/VOmS1GPCGW9rR2Zj57aH0uD7qxEqZU0tdGawW45rrGPQ61FValfFf47Ne/oyJ8kRRNQB5i7jZ4IXLU5rzkaisCdfkgrNC+8+BrmroJAk7mtTU6fDUIoKh2AicOaHxorLcDJ0usSCT+Ebs8uACQuHiDYURZdsiG4AAAH1CuHFHkx06IZh5Ym+9cvp8/1zc123x9bAqyQAQAE0z2jWOAcsozQiwrTQAla7XACSOACve3ykiIiIiIiIiIspvJWYDaitibeeRqIyx2fS3AC3GHQG2eQCob9SlHG+ssJnXDeikS4XNjFLL2j6H7WgAAoADXepxtYk5L3pHnJp/Z67P4muPXN2WbaGtiUSjuHBjDj95YUj5WrzxXysaxTFgGfgdJKLMKKoAUChUnGGPUDiC073Ta77u8qxNN2fT2etqAOhwVzUAoKzEiIblNoxIVMbAhBuAduRNVXniB7zrK63KSJ1AKILekYVNbkFEmSKOACvmsELfmFM53dWkrdqsr7SioyH2QS4SlXEqzmu5dgRY8gGgHiEA1MsAUEa5ltSwzlZGgImBOfdSCNFobLmGiyPAiIiIiIiIiIioQLQKY8CGMzAGzB1vBNjC5gGg8/1zyukDO6oyPmlDkqS4IaO2+u1pYznaXYsK28b7GsdmPMoCfso9w1OL+NYT1/GJf3oef/+dc5qJKz2tjnVv17h8fBaA0gRERLmvqEaABcNRGAy5M/Jqu5zrm4MvsPYPr9MTQHOGk8mJml7wYmz5j4fRoMOe9krlsq4mOyaW54r2jbnQ01qBOc3Im5KEH0eSJBzYUYXHT48CAM73zWFfB8fdEGWDuMLCXsTjivrG3Mrpnc1rZ+2e2FuPgYnYPN4XL07i7kNNmsu1AaDEXw/Vx3QopwfG3QiGIjAZ9UnfD21MluVVDUCpB3SMBh1KLQYs+cOIyjIWfSGUW42rGoCK93eKiIiIiIiIiIjyX1tdGU5djS2IHJ5aTPv9x20AEva1rmd1AGg7NNeW4eqwUzlfX2mFNU4rUCZYLQb85YdPYHDSrYyNWvFvP7mMeXcAMoDpBV/OHHOkmL4xF77+aC9GZ+IH6Ha3VWB/5/rP4aYa9ec5xgAQUd4oqgBQKBwFDMV3UPOFS5PKaQnAyt9nZw41AJ3tU98w7WmrgNmk/py6mu145vwEAHVUzlYaLw50CQGg/jm8+z454wltIlqLI8AAjy+kJOd1koT2OHObj++uw7ef6ENUlnFt1IWXr06jZPk1MhKV4V4Oleh1Ehy25EMf5aUmNFRZMTHnVZrWejao/aTU+IMRBJebCI0GHUrMW3s/4igzY8kfqxp2eQIwGXQILK+yMRl0KDEX1Vs8IiIiIiIiIiIqMA1V6vih2QSCOclajNcA5PQhKsvQrXPMaNbpU4IQBr0Oe9oq414v3VY3ALU3bM/4rxVmkz7uPuOm6jLMu2Ot5JPzXgaAcsx//fTamvCPvdSEm/fU4dZ99ZqWrXjEEWBsACLKH0V1dCgYjgAorgCQxxfSpJEP7azGmeVRW+Iokmw7e31GOX1oZ7XmMnEkTt+YC7IsY84tjABLMgDU01IBs1GPQCiCaacPk/NezRtJItoebk0DUHEGgG6Mq1WbrXVlMMdp3rGXmrCnowIXb8wDAP7lBxfj3leFzQy9LrXJnt0tDqVprXfEyQBQBoiVwvZS05aDp/Yyk7KzwekJwmhQf/aOMjODrURERERERERElNfEsVNOT3qPZ4XCUWVyhk6SYDHp4Q2EEQpH4fIE1x15df6GerxtV5tDs5g9k1prtUGNjm0a/7WZ+korLix/TybmvVneGlptxqlOUzm+uxa37W/AnvaKhI8j1FWUQK+TEInKmHcH4AuEufCUKA+kdqQwT0UiMvzBcLY3Y1udujqNSDTW+dPRUI7uFodymXMxNxqAlvwhXBtRD4If7NIGgOorrSgrMS5fN4zJee+WGoBiI8bUg9tiQIqIts+iOA6pSMcV9Y2pr31dccZ/rbhtX8Om97VZWn8j4t+GizfmcXFgDk+dHcP3ft6PLz98CX/zzTP48fODKd8/AS6PNgC0VeIIMZcnoGn1K9bfJyIiIiIiIiIiKhyOMjEAlN7jWWL7T5nViNqKEuW8GJpY7dqIUzm90eikdGustmpaiTriNMlnQ32VVTk9OccAUC4JR6LwBmLHxCUJ+LUH9mJ/Z1VSi4gNeh3qK9WfMVuAiPJD0cX0Zpz+NVV5hexFYfzXib11sFmNynlnjjQAXeifQ1RWQ0qOVU0gkiShq8mOs32x5qK+UdeqAFAJknWwS21COt8/h9ceb01184koRW6OAFPGGgLatrPVju+uxfSCF9eE64scpSY8cFt7ytvRIwSA+sZc+MK3z625zpWhBXS3ODRhIUqcWwi8lachAOQQQj7OpSAMqxqAiIiIiIiIiIiI8ll5qRESABmxxaThSBQGfXp6DRaFdnrbcgBocHIRQCwAtN4+0KHl6wBAZ+P2hXCMBr3SEl9hM6OtPjeOc4rhkEk2AOWUJb9aiFFqMUKnS60xvrG6VGmiH5tdwo4NjmMQUW4ougDQ9IKvaAJAsy6fcrBYJ0k4vrsOk3NqOtOV5sR0qlaCPcDa8V8rdjSVK9e7MrSgHEjV6yQ4bMkfSBWT2ddGnKytI9pmsixrPmQVYwAoHInixoRbOb9RAEiSJDxwW0fGtqWy3IIahwUzzo1naQ9MuBkASpFrKb2BN/E+XJ4AjHoGgIiIiIiIiIiIqHDodTqUl5rgWgpCRmyBXWV5chMh1rPoExbrWU2ocagLzacX4jcAef1hTC1fptdJaKnZ3mONv/bAXpy9PoueVgeMhu0ZPbaZ1QEgWZYhSakFTSi9PMICbLEcIllN1aV4efk0G4CI8kNRjQADNq7uKzQvXZ5STu/pqIC91KQ5YJjumampCEeiynxQADjcFT8AtLPZoZxeae4BYjNgk6mrE2/XsFxNGInKmFpgMploO/kCYWU8odmkh9mYGx9YttPItAfBUBQAUFVuTtuH11S9696dqHWUoNpuQU+LA7fuq8cDt7bj5j11ynX4Bj91LqF1Lx0jwDQNQJ6g5m+6gyPAiIiIiIiIiIioAGRqDNjikrYBSAwAzbjiH0ccnlLbfxqrS2Ha5n3aZSVG3H6gQbOt2eYoM8Fsin0ffIEw3MKi33RwegL4lx9cxH88ehXBUCSt913oPD71Z1FWknoAqLG6VDk9xuMDRHmh6CpPposkACTLMl64pAaAbtlbD0B70NHpCWY9jds74oQvEPujXW23oKmmNO712utt0OskRKIyAsIf+Wp76gfM7aUmTCzPJBWr8IiK1eiMB1azYVuCKOIHgfItpM/zWd+YMP5LCDlmy+GdNTi8s2bN1y8NziuB0vE5vsFPldi6l44AkHgfLk8ABr36t5wNQEREREREREREVAgcZSYMLR/qSuei9kVNO4q2AWhmnQagQWH8V1u9LW3bks8kSUJ9pVUZjTY5t5SWfZ8AEI3K+JcfXMT15Ukn3S0O5VgnbU6cwLCVAJB43JYLhInyQ/E1ABVJ08vItEd5ITYZdTi8PFqrxGxQ0rjhSBTeQHaDLwtu9Q3boa7qdcNIJqM+7huqqi0EgKwW9Q+elwEgKnIvXZ7Cn/77SfzevzyPHz47gOhyO0+miB+wyq3F2VbSNyoEgHJ4bm5jlfgGP1bjSsnTjABLSwOQdvWTuAKKDUBERERERERERFQIHLbMTLUQF6jarEbUigGgdYoEBifdyukOBoAUDavGgKXLT18eUcI/wPqj2Sg+sQFoKyPAaitKlMWnC4sBeP3pbXkiovQrugBQsTQAvXBpUjl9pLsGFpNa9uQQW4AWszsGbP+OKuxuq0BPiwMP3Na+4XXjHSCvtqdedWi1qN+TJf7BoiL37IUJAIAsAz98dgB//c0zmHf7M/Z4bk3FanGGFTQNQDkcAHKUmVBijr1e+gLhtFbtFhMxAFSehoCOXbgP11JA8/fczgYgIiIiIiIiIiIqANpFcJlpACq3mlBhM0Ovi4Uc3N4QfHEWzw9pGoDK07Yt+a5OCABNzafnGOzojAfff7pf8zVx/yptTnyOl5Wkvj9ar9OhXvgZj88WR9EGUT4rugDQnCuAcCSa7c3IqGhUxouX1fFfJ/ZoK/HEA4POLP/BtJea8HvvPozff++RTUMA8QNAqTcAlQoBIDYAFSeXJ4Dro06EwoX9mrCZSDSqaaMBgGsjTvzZ/z2JM9dmMvKY2orV4hsBNufyY2E5sGE26tFcG3/8YS6QJAmN1cIbfI4BS4lbbABKQ+jNYhIb/WTNbHKOACMiIiIiIiIiokIgNl07F9N3PGtxVQOQTiehWmgBmnVpF8d6/WFMLTfQ6HUSWnJ4f+52q09zA1A4EsW//fgywhFtE72bAaCkLKapAQgAGqvV5/vYrGdL90VEmVd0AaCoLGe01SIX9I444VpuaLBZjdjbUaG5XHzD5EpjYjrTdqQ5ACSOAGMDUPEIhCJ48dIkvvCds/jdf3oO/7//fAX/+P3zRT3WaHjKg0AoAiA2MnBlEt+SP4x//P4F/NdPryEUjqT1MTUrLNI0EzifiO0/nY3l0Oty+8+xdgwYA0DJisqy5gNqup7zYqPfykuYyahDiVmflvsnIiIiIiIiIiLKpu1oAFpZnF7jUI83rR4DNjSltv80VZfCaOD+txViAGgiDQGgh58bxPDU2pCJayl/jmfmAnEEWFnJ1gJATZoAEI8PEOU6w+ZXKTzTTh9qK6ybXzFP9QsHlo9216w5sKx9w5Q/idkKmxnVdosmeV2VpgYgHxuAClpUltE77MTzFydwqncGgaA2zHLxxjzO9c3h0M7qLG1hdvUOO5XTR7trcNehJnz54UuYd8feUD/xyih6R5z44Ot3oaMhPdWm2hnLxRcAEj8w5vL4rxViwn+Cb/CT5vWHEYnGEjolZgNMxvTsILCXmZWVRyscpWZIKyk+IiIiIiIiIiKiPJapAJA7TkN9jdAANL1qn5t2/JctbdtRCMQA0KzTh3AkCoM+tQWvN8bd+MkLQ8r5uw814qmz4wDYAJQsjzedDUBlymkuECbKfbldOZAhMwvpmUGZq6aEhG1Lbdmay+1iZWIeNQABQFezeqBcJ0mosKU+5sQqBICWGAAqWNGojL/+xhn8zTfP4LkLk2vCPyt+8MwNRIu0BejaiFM53d3iQHeLA5/+4HEc6a5Rvj4648Hn/uMUHnysNy2NWcU+AmzlQ5FeJ+Gm3bVZ3prNiQEgvsFPnti2Z09j45XY6LfR14iIiIiIiIiIiPKRw5aZBe3iCLCVtu5aIQA049IeRxycdCun2xkA0jCb9MqxukhUXtOelKhgKIJ/+/Fl5ThNd4sDb7t7h3K5aylY1JMckrWoaQDa2j7jpho2ABHlk6IMAE2n+McnX0wuqAGgusq1TUdiYtqVRw1AgLYpo7LcvKWxOaXCCDAvR4AVrP5xlybgAsTCF2+9sxN/8svHYDLEnkPD0x680juThS3Mrqgs4/qoUznf3eIAEKuE/K237sP7XtMN4/L3SAbw5Jkx/NGXX8RzFya29GZbMw6pCBuA7jzYiE+86xD+9AM3oblmbVAz14gjwMZml/hBK0ku4fmezgCQvXRtCNaxhWAsERERERERERFRLrFZjdAtt117fCGEwtEt32coHIF/eaGwXifBao4tFhcbgFYXCQwKDUDtaWrJLyRiC9BkimPAvvvzfuW2ZpMeH3rDbljNBuX4RDAUVX5utDmxAahsi4uwax0lSquTyxNMyyJxIsqc4gwAFXwDkPr/q48XACrN3wagve2Vypu9raas2QBUHMRZsZ2N5fiTXz6Gv/jwzXjg1nZ0NpbjVUeblct/8OwAotHcDTYEQ+l/czs+s6Q8/8utRs1rhiRJuOdIMz77oePY11mpfH3RG8K//+QKPv9fr2B0Zu0s3kSI6fNibAACgD3tlXFb2nJRZbkZZlNsbNWSP6wZ4Uab0wSA0tjQE6/tJ14oiIiIiIiIiIiIKB/pJEmzP82VhmNai6uCEdLyMSdNA5BQJOD1h5TjinqdhGahDYVi6qu2FgC6MrSAx0+NKufffe9O1DhKIEmSZkGlOLotFaFw8QSIPOIxmJKtHYPR6SQ0CD9jTgkgym3FGQAq4AYgjy+kvKibjLq4TQDi1/KtAaiu0oqPvHkvXnNTC951784t3Ze2AYgBoEI1Mq0m84/11KKzsVx5Qw8Ar7u5VQk2jM8u4eSVqW3fxs3Isox/+O55/OYXnsYjLw1tfoMk9K4a/yV+b1bUVljx/73jIH7rrfs0Y/eujbrwma++jCuD80k/7uKSOAKs+BqA8o0kSWjkG/yUiX9ry9PZABRvBJiNv09ERERERERERFQ4xKkW6RgDJoZIbMJopGqHRTk96/Iri4WHhPafpupSGA36LW9DodE0AM0lFwCKRKP4z5/2KucP7KjCHQcalPPi/tRUj2mGI1H8zTfP4Lf+/mk8fW48pfvIJ8FQBIGQ2nJlMW39OdtUzTFgRPmiKANAM05fXo0vmZz34r+fvoHnL04kdN0VdRVWpS1HJLYDOJcCefW9AIBju2rxrnt3orLcsvmVN6BtAGKbRaEamVYbalrr1rat2KwmvOZYi3L+h88OIBLdeo1oOg1PeXC2bxZRWcaPnh1U3rilQ7zxX/FIkoSjPbX4iw/fjNfd3Aq9LvbaEonK+P4zN5J6zKgsswEoD4ljwBgASo47UyPAyuKEfON8jYiIiIiIiIiIKF+JLdjpmGohNgCVl6r7pi0mgxI2iURlzC/6AQCDU+L4r61NpihUDVsYAfbs+QlMzKmjv95//y7NQmVNA9BSagGgiwPzuDK0gHBExuOnRlK6j3witv+ILVdb0SAEgMZneHyAKJcVVQBIt3zAOhiKasZx5KrRGQ/+zw8v4o+/8iIefn4Q//bjK+gfc214mykxABRn/BcAlJj1MAkzM32B4qm8E63MdQUAbyCMaJ4FoWhzkWgUo8IbkfXGLb32eIvyfJha8OH5i5Pbsn2J6hN+7wOhCM73z6XlfmVZXtMAtBmLyYB33NOFP/3ATUrAsH/MjXm3P+HHXfKFsPLrVmoxKLNjKbc1im/w5/gGPxmuJXXHRDpHdDnihInifY2IiIiIiIiIiChfiVMtFtISAFq/nb5GaAGaWR77JTYAtdWXb/nxC1F9igGgQDCCHzwzoJx//c2tmikEgDYAlOqx3VeuzSin09EilevSOf5rBRuAiPJHUR11XQm9AFDmdeaioclFfOn7F/Cn/34SJ69MQ8ylXBMO1scj/mGtXycAJEmSpiFAPDBZTAx6nTL6SZYBf5EGobItKsu4NuJE7/ACgmlstgGAyXkfQuFYm0+FzbzuqCmrxYjX3tyqnP/Rs4MIR3KnBah/XBv8O3k5PWPKpp0+pTKzxGxAc038gFQ8LbVl2NXmUM6fFt5Ab8atmbHMsEK+EANAE0XwBn9sxoPe4YW0tOSJH0zjje1KVdwGoDijP4mIiIiIiIiIiPKVdgTY1o9nuZfWb6evdZQop2dcyw1AQgCovZ4NQPFU2i0wLh+DXfSGEp668djJYWXfqaPMhNccb11znfItBoAi0SjOXp9Vznt8oZw6/pMJ4gSGsgwEgDghgCi3GTa/SuEwCgGgGacvobaL7TTn8uPBn/Zu2O4xOuNZ9zJgdQCoZN3r2ctMmHbGQlDOxQAahNEuxaTUYkAgGAudeP0hzVgw2h6PvDiE7/08NkLKoJfQ0VCOnlYHulsc6Gqyw2JK/WcyIlRzrtf+s+K+o8342csj8PhCmHP78cz5CdxzuCnlx06n1c1f52/MwRcIo8S8tefrtWGncnpns11pSUvUsZ5aXB5cAACcvjqNVwuj1DayKLxJL+f4r7zRWERv8Acn3fiLr59GJCrj/ff34K5DW3stcGVoBNhKg5b4gZUjwIiIiIiIiIiIqJBoRoAtbr29ZdG3UQOQelxtesEHrz+kFArodVJSi2iLiU6SUFdRokxkmJzzYkeTfcPbuJaCeOSlYeX8W+7ohNmoX3M97Qiw5ANgfaMuTSMOEAsprW4aKiSeDCzCrnGUwGjQIRSOTdnx+EJpCxcRUXoVVwOQ8IcjFxuAvv7Y2vDP4Z3VeO+ru5XzI9MbH3RNZAQYoG0NcObBOLRMsZrVP05L/nAWt6R4/fzsuHI6HJFxfdSFHz8/hC98Q0GXkwAAsllJREFU+xw++vfP4O+/cw6+QGo/m+FpNTDXWrfxG/MSswGvP9GmnP/x84MIhbPfCuVeCmLGqR2vFQprE+upEhvFelIIRB7ursHK6Njro66EV1+I6fNyNgDljSq7RWnSc3tDmqrcQvP4qVFEorHmn5NXprd8fy5PZgJAsUY/9f5MRh0sprUfkomIiIiIiIiIiPJVRZobgBaXxP3T2gCDGACacfo047+aako1RQOklewYsB89O4DA8lSIpupS3L6/Ie71ykvVn7/Y3pSoeNML3AV+XDQTI8B0OgkNws+40BcJE+WzovpLtboBKNcMTLiV08d6avDpD96E337bAdyyt175+sTc0rrVdFFZxpQQbFpvBBigTUy7imDe5XpKhcYfb4KVhJQ+004fZpdrNON1z0RlGRduzOGxk8NxLt2c2ADUWrt5Nec9R5qUg/MLiwE8dWZ8k1tk3ur2nxUvXdn6GLBeIQCUSiOavdSkBIdkAKd7ExsDJr65tqUxDEGZpZMkTVvcxFzis5zziT8Y1jyXb4y7EYmmXgkbjkSxtPyBS5LWriraKnGkmKPMDElKrsmLiIiIiIiIiIgol6V7BJi4sHHDBiCnD4NTHP+VqPqqxANAE3NLmsXh77hnx7oTCuyaEWDJ/fxlWcaZeAGgAl7cCmif4+ls6WmsUY8PjDEARJSzijYANJ1jAaBFb1BJZJqMOnzkLfvQWhd7M2G1GFBttwAAIlEZk+scdJ13+xEKxw5S2qxGlFrWf1FP9xumfCWO/GID0Pa7PDivnN6/owp//9u34zffsg/3Hm3WzBN96syY8txOlCzLmgaglk0agADAbNTjDbeoLUA/eXFISaBnS9+4GgA60l2jnL40ML+mtjIZ826/Er4yGXVoS/HDy7Fdtcrp072JNaVoPmCxIjKvNFYXfsL/1NUZze99IBTB6CbtextZ9IYgL5+2lRiTHrW3GYewAobjv4iIiIiIiIiIqNA4bOLxrK0HN9ze9RvqayvUANCs04fBCTEAVL7lxy5kmgagTRaPfvepfkTl2F7TXa0O7O+sWve65WKhQZLNPcNTHsy51x4DLaYGoDJr+o7BiMftxmcK8/gAUSEoqgCQSQwA5dgIMDENW19phW7VCn5xrujojAfxTM2r/6eNxn8B2sRsMQeAxJCUN8UxU5S6y4MLyuk9bRWwl5pwbFct3vvqbvzZB29SZrC6vSG8fDW5xhvXUhCLy2/kzSa9Jrm/kbsONamPuxTE0+ey2wLUP6Y2g53YU4eOhlhQJxKV8Uqc5HqixPFfOxrtMOhT+3NwpLtGaW/qHXEm9AZc8wGLDUB5pVF8g1+gAaDnLkys+VrfOk1ciRA/TIp1temibQDi7xMRERERERERERWWUosBBn1sL7QvEEYguLVFu9oGIG04wl5qUo4lLvnDuDqsHsNIdRFtsaivVPcdb9QAdG3EiTPXZ5Xz73xV14at5nYhpOVeCkKW5XWvu1q88V8r91PIMjECDNAeHxibjX+smoiyr6gCQAa9TjnI7fGF4MuhwIc4SiXe6K7mWvVFdWSdAJAmRFSxcQBITEwX8wgwbQMQR4Btp6gs4+qQEABqr9RcbtDr8KojTcr5n50aTeqN3fCU0P5TU7YmVLceo0GH159QW4AefWk46fahdIlEoxgURgPuaLLj+O465fzLWxgDdm1UDTT0pDD+a4WjzIydzXYAgCwjbp3maht9wKLc1iiMABufK7wA0IzTpxmNt+L66NqvJUqspbVnIKBTIfw9r7RZ0n7/RERERERERERE2SRJknaqRZJjoFZbFBaort4/LUmSZjHxynX1OkmzUJ/WEo9tTi34EI2uPZ4jyzIeerJPOX9iT92mzUpmkx5mkx4AEI7ISS3mP3NdPV7R0aA+TrJNQvlGfI5nrAGoQBcIExWCogoAAUCNQz04lkstQGJ4p0E4wLpC0wC0ziiSKeE+6io3bjtxsAEIQCw5vsLLEWDbamTKo6SQy61GNNWsfd7febBRGd03NLmYVAvHyLRazZnI+C/RHQcalGaahcUAnr+4thFkO4xOLyG4HD6qLDejwmbGTcLIrctDCykn1cUGoJ1bCAABwFFhm04lMAZscWn9GcuU27QJ/8J7g//8xUnl9MroTQDo30IDkBiytWeg8eqWvfWoLDejvNSE2w80pP3+iYiIiIiIiIiIsk0TAFpM/ZhWIBRBIBRrENLrJJSYDWuuE2+aQHNNmXKsguKzWgzKcZVwJIpZt3/NdU73zqB/PLbo2aCX8NY7OxO6b3G/aqKlBlMLXowtj6kyGnS4dV+9cllxNQClb590taNEachye0Oaxd5ElDuK7q9VrfCHe8aZQwGgOTEAtLa9p6V28xFg2jFia8MUIrsmLZ3aC/SiN7mqvVxkFUaALTEAtK0uD80rp/e0V8ateLRZTTixR228+dmp0YTvX2wAaq1NLgBkMupx//FW5fxPXhhCJLr9LUBi4GlHY6xlp7Lcgm6hcWe9wM0LFyfxh19+Ed/42TWEI9ptd3uDSjpbr5PQ2bi12cXHetQA0NUh56Zv+rQzltkAlE+qHRalSc/lCRZUc1pUljXjv37hzk6YjLH/65w7gPk4H1gTIa4myUQAqLLcgr/+yK3429+8VRPQIiIiIiIiIiIiKhSOMnFRe+qhg9Xt9PGOS8QLAHH8V2LEFiDxuCcQCwV99+f9yvlXHWmO+72Op7xUOwYsEa8I0wr2tleitkJ9rEJvABIDQGVpHAGmkyRNiQVbgIhyU9EFgGqEF/jpHAoATQijVOKNAKutKFHSxQuLAc2L9wptAGjjP5qxmamx+wsEI0mPQ/vBMzfw8X94Fn/37bN5HQLSNgAVzoHsfHB5UB3/tbutYt3rvfpYi3L6ld6ZhA/Cj0wLAaC65N+c3324UXl+zLr8eOly6uO2UtU/LgSAmuzK6ZuEMWAnr6wNAJ28MoV/+/FlTM178fjpUfzrDy9pQkDXR9T77Wgoh9mo39J2VtjM6Frevqgsa+b3xqP5kJWBQARljl6n0/yNmphdf5Zzvrk+4sSsK/b6YjUbcLSnBp1CLWwyDWSiTAeAAECnk5S/6URERERERERERIVG0wC0hakWi5rFqfH31YmTRFa0NzAAlAjNGLB57b7jn58dVyazWM0GvPHW9oTvV9MAlEIA6Eh3jebn7S7g5hpZljM2Agwo/CkBRIWg6I4WiQ1AuTICLByJYsaphhrq4gSA9DodGoVU5diqFqBQOIq55QOXEqBJssYTm5ma/B9MAIhEo3js5REAsRDH5Hz+HgBmA1B2hMIRXBdGUO1pr1z3us21ZdjV6gAQC5f8zytjm95/IBhR3lxKknYuaaIsJgNec5MaPvrJC0NxZ9Zmkjh2aEeTGkQ4tqsWKwsTro84NaGoS4Pz+MrDlyFu6elrM/jn/76I0PI4MXH8V/cWx38p29RTo5w+dXX9MWDhSFT5XZMAlFnYAJRvGqvVv1Hjc4XzBv+5C+r4r+N76mA06NHV7FC+1je69QBQeRkDb0RERERERERERMly2NIVANI2AMUT7/haOxuAEqJpABKOHXr9Yfzw2QHl/BtvbU+qmSbZAJDTE0D/WGzUmCQBh3ZWp9QilI8CoYiyINxk0G15AfhqTTUMABHluuILAFXk3giw6QUfosstOlXllnVfjJtr1RdVsd0EiLUZrRzwr7JbYDRs/oJuFwNASbxhGp1eQiAYUc5P5UiQKhVsAMqOvjE3gsthlLqKElTZ1ybqRfcJLUA/PzumzOhdz+iMR/l9aKgqhSnFNzj3Hm1GiTl224k5L04LifFMcy8FlWCgQa9Dm9BiZC81Ka1JMtTAzcCEG1/63gVEloNK4vzis32z+MfvnUcwFMlIAOioMAbsytBC3JYyYFX1pNUInW5txSrlNjHhXygVn4FgBC8L4/Ru2x+bB90lNG+l2gDkFv6+2kvNG1yTiIiIiIiIiIiI4knfCDB1//R67fSrx1LpdRKaqstSfsxiUl8VPwD0yEtDyrGBqnIL7j3alNT9JhveEacU9LQ4UFZi1AS+PN4QItFovJvmPU8G23+AVccHZgrj+ABRoSm6AFCNpgEoN5prJoQ5mA1Va9t/VrTUqG8wRlc1AImzNOONEItHW5mY+BsmMTwAADN5HACyCgEgNgBtn8uD88rpjdp/Vhzqqkb1ckhoyR/Gi5cmN7z+sBCQa6lN/Y251WLEq440K+d//Pxg3JF3oXAEp65OY2DCnfJjrSa2/7TX29aM9zkujgG7Oo2JuSX8/XfOKeGoCpsZf/4rx/H6E23K9S4OzOPvv3MOw9OLAGLJdzHgsBVVdgs6lsclRaIyzq4zBiyRilXKbY0FOOP39LVpJdjaUGVVRn91Cc1bw1MeTfg1UdsxAoyIiIiIiIiIiKiQaY5nLaZnBJitJP6+umq7BeKy1ebaMhgNRXc4NSUNcRqA5t1+/HR5qggA/MJdnQmVGIi0DUCb//zF8V+Hu2PTCwx6ndI6JEMblCkki+Ii7CRalhLVlKcjwKKyjIsDczjbN6uUchAVqqL7i1VtL1H+cM+7A8pInGyanFdfIDcK7zTXigEg7YvqlBBmijdCLB5HaWqViddHnZrzuTJKLRWlwvghLwNA2+by4IJyek97xabX1+kk3HtUDeI8fmo0bhBnxcjUonK6dQsBIAB49U0tMBljL5Uj0x6c65/TXH5xYA6f+veT+OcfXMTnvn4qbW94+sbVAFBnY/may49010C/3J5zY9yNv/nmGSVBX2ox4Hd/8RCq7Ba87a5OvPn2DuV2vSNOrHzrWmttmhDcVt20S20BOtUbfwyYO4GKVcptYsVnoYwAE8d/3bqvHtLyjD2rxah8oInKctIhv5evTmPWpY7os3MEGBERERERERERUdK0C9pTDwCJ+6fLS+PvnzYa9JqRYxz/lbhqh0U5brGwGIA/GMYPnhlQjsW21pXh5j11G91FXGKz+mYjwLz+EK4OqcegjuysUU6XJzlKLB+JUxhsGQgAVdktyjEzjy+U8+PUItEoXrg0iU/920v4wrfP4R++ex5PnxvP9mYRZVTRBYCMBh0qy2N/KGQAs67sh1cmE2wAal7VACQmFMUqvUQbgLQjwBJ7gZZlGddHtWNQppy50aSUCqtmBFh4w1BJofAFwuuOZ0qHJ06P4vf++Xn8+PnBuJd7/SEMTi7PXgWwq23zABAA3HGgQRmPNza7hCvCG7jVNA1AdVsLAJVbTbj7kFpHudICNO/2459/cBFf+PY5JQQny8C5vvjNN8m6MaYGDeK19JSVGLG3Q21PWmnxMhl1+Pg7DiqhBUmS8ObbO/C2uzrX3MfOlvS0/6w42qO+kb40MB93rN7ikhgAYhgiH9U4SpQPcfPuAHyB/A5Pzrp8yuuJJAG37mvQXN7VnPwYsEAogq89chX/8oOLykg+R5kJVnP6AndERERERERERETFYvVEi1SP5Sx6E9s/XStME2ljAChhep0OtRXq9+507wyeuzChnH/nPV3QSVK8m24omRFg5/rnlH2ybfU2VC1PlwCAcmFRshgGKyTic7wsA8dgdJKkmRKQqy1A4UgUz5wbxx9/5SV85eHLmmk85/vmNrglUf4rugAQoB0DNuPMfgBoQgzvCC+aq5WXmpQ/csFQVLPtU/NiA1DJmtvGo3nDlEBlHhD7fq1OxebzCDCDXqeESqKyDH8K413yhS8QxreeuI7f/uIz+MQ/P4dhoSUnXaKyjO/+vB9zbj++//QNXBJGfa24Oqw20LQ32DQtTBuxWoy4dX+9cv7xU6PxtyEqa0bktdRu/c35a4+3KiO4boy78R+P9uKPv/ISTl1d23IzML71MWCRaBQDk+r97FhnTNfNu7VJeb1Owm++ZX/cwNAbbmnHL76qS/O1nhbHlrdVVOMoUT4MRaIyzsYJQ7k5AizvGfQ6TdBUfOOcj164qLb/7G2vRIWwugfQBvASCQCNTnvw5197WbOKoNpuwcfefkBpFiIiIiIiIiIiIqLElZj1SutIIBRJ+ViOZgTYBg31N+2uVR73cFd1So9VrMR9x994/BpWolr7O6uwp70y/o02YU+iuUcc/3Wku0ZzWTJBonwljjbLxAgwQDsGbDzHAkCyLOPnZ8fwh//6Ar76yNW4U2yGMnB8lCiXFGUASEyfZnt8lSzLmoOnGzUAAUCLMHplVGg5SaUByCE0ACU6M3V1+w8AzLr8iESzP0otVWIL0FKcxpJ8J8syTl6Zwh9/5UX89OURRGUZwVAUL12eSvtjLflCCAhvvL/+6FUEQto34peFUNDutuTe7N0njAE71zeL6YW1wYOpBS+Codjz0V5m0rwxTFWFzYw7DqqtIE+fG9f8v/YJTTw3khwRFM/o9JLyf6gsN68JJKw4tLNa+dADAL/yht04sKNq3ft97fFW/PL9PSi1GLC7rQIHM/DB5ZjQAnTq6syayxc5AqwgNOTwG/xkyLKsHf8lhAxXiAGg/jHXuvOBZVnG/7wyij//j1Oav+vHd9fi0x88jvb6taP8iIiIiIiIiIiIaHOSJKVlDFiiDUCvOtKMT3/wJvzVr98Ce1n8/fMUn3iM0heIHUeRALzj7h0p36cY3FlcCq27jzYYiuDCDbXdZXUAKJlRYvlqMcMjwACgMYePDzx7fgL/8Wgv5tzqa4TVbMCbbmuHyRA7nrawGCjYnz8RUKQBILEBaDrLDUBub0gZn2Ix6TcNKzRpxoDFXlSX/CEltWzQ61BZbol729XEN0uJvtBdH3Wu+VokKmteSPNN6aoxYIVkbMaDL3z7LP7PDy8pI6JWzLj8aX+81YnpGacfDz83qPna5UF1dNee9sTGf61oqCrFvs5Y2EYG8HCcMWMjQjCuNQ3tPyted3OrMvZoRWN1KX7/PYfx8Xcc0LxxWEgwULcesWVkR+P6Y7pKzAb8+gN7sb+zCh95817csndteGG1uw814X9//A783rsPK61G6XRsV61y+uLA3JoxYJoPWGkIZ1F2NAph1fG53HqDn4zroy7lfUCJWa+ZB72itqJECast+cNxG49kWca//fgK/vOn1xCOxMJ7JoMOH3jdLvz6m/ZqgqZERERERERERESUPEdp8ovaV3MviQ31G4cjWutsG4aEKL54JQW37W9Ac21ZnGsnxmjQwWqO7WONyjI8vviL+a+NOJXF1XWVVs1+bAAoLxVGgBVoAET83pRlaBG2GADKtRFg/ePq8bWyEiPedlcn/uY3b8Vb7uhEi/AczMSUFKJcUZQBoNoK9QU/2+OrJoUDpw1V1k3Hg4gvTisNQFPz6v+hrrIk4fmZdrEBKMG0tNgAtDI6C8j+93ErrMIIqqUCCQCFI1H856NX8NG/eRKXhMDNSkgFAGYzEH6LFyR79KVhJZQz7/YrbVVGgw47m9cPt6zndcdbldPPXZjU/DEHgOEpcfxX6m8oV6u2l+De5QYik1GHd9yzA5/+4E3oaa2AXqfTzAEe3GILkPh/Wm/814rD3TX4/955EMdXjQPbSCozdhNVV2FVvhfhiIxXrmnHgCXzAYtyVy4n/JMh1sHetKsOJuHv2gpJkta0AK328tVpvHBJbRJqrinDn37gJtx5sJFjv4iIiIiIiIiIiNLAYRMbgFILbyz6EmsAotTVrwrdmAw6vOWOji3fr3hM073Oz39kRj0+tKetYs2+WY4AS4/VI8DkdRqZskF8bXj//bvwhlvaUbIcHmsVjuMNTTIARIWrOANAOdQAJDYJ1FeWbnDNmGahAWjlD9nkvHrwtb4isfFfQOyFf6XRxBeIrBnVtJrbG1S2V6+TcLBLHTUUbxRTvtA2ABXGCLBHXhzCt3+mNlFIEnDv0WZ86v3HlOvMZqABKF4AKCrL+NojVxGNypr2n53NdhgNaw+2b2Z3eyUO71RHV33jZ9c0dY/D0+of7da69AWAAOCd93ThT375GP72N2/D625u0zTodDSo4322OgasX9MAlH9jg24Wwkgnr2hHzfEDVmEolADQtRGnclp8XVmtSwgrrm7CCwQj+Pb/9Cnnb95Th0+9/6jme0RERERERERERERbs9URYIFgRGmHMeh1sJiSPz5Bm1vdAPTqm1oSnlyyEXGCynpTTcR91fH2z9qLIACkGQGWoWMwlXaLUhLh8YXg9ubOsVWxHazCph3f114nBIDYAEQFrCgDQOIIsBmnf91ZkdthpQ0FWJuKjaex2qq0d8ws+BAIRjApNAAlch8rYjNThT+Ym7xh6hPaf9obbJow0lReNwCpAaBCaQC6LgRIOhrK8afvvwnvfXU3GqpLldCXxxeCP5je/69LSNbu66iEQR97rIEJN/7nlVFcHppXLt/TXpny4/zivTuV8M3AxCKeuzChXCaOAEtnAxAA6HQSOhvL46amO4WgzsAWAkDupSBmnLFwlkEvobUufWPMtstNwhiwy4MLmrFfi0vim082AOWrugr1b9Gsy49AcOMAaS7yBcLKm3wJ2LCRTGwA6hvT/n7/5MVBZexfudWI972mJ6VwIxEREREREREREa1PDAAtpBAAEvdT26xGNndniM1qUhpi7KUmvO7mtrTcbyLtPeOz6jHXeAGgck2IKHdCK+kkjgCzZagBSCdJaKxWj0ePC81L2eYUnhviMXAAmkkebACiQlaUASCrxaAcwA9HoinPCk0HsQGoIc5czNWMBj3qKmMBJhmx2YpTQoioLokGIACwlyVemSi2HuxsdqC2QgxS5W8AqFQYAeYtkADQSoAEAD74ul3KHzWdJKHKriatZ53pbQES33T1tDrwhlvalfPfe/oGLt4QA0AVKT9OraME99+sjgL73lP98PrDcC0FlRCSyahL+vdhK8QGoIGJxZSDhWL7T1u9DUZD/r1MV9ktSmAiKss43auOWXILH7LEN9uUX4wGneZvwMR8/rUA9Y+5sPJr2lJbphkHuVp7vU0JNE7Ne5WdBdMLXjz60rByvbfdvUMTKiUiIiIiIiIiIqL0EA/mpzICTGwpKWc7fUZ9/O0H8M57uvAH7z2Stv2l5Zs0AMmyjPG5jRuAxJ+7eKyikHiE/1dZBhdhi9/fsRyZEhCORLG4/NyQsPYYVGN1qbKff9bl14SliApJ/h1ZTpNcCa9MCH+MGhJs7xFbTUZnPJoA0Opqvc2IdXebVSZeFxqAdjbbNd/D6XxuADKLDUD5/2IfjcqYc6k/j2qHtlqxRggAzbjS+3NzLanPofJSE15/ok15XgeCEeWPaanFgNbarTXbvOFEm1Lf5/aG8KPnBjAijP9qqSmDTrd9Cf5qu0UJFvoCYc3vZTL6x9V2kR2N6zeS5Lrju9UWoJUxYKFwBP7lphi9TtL87lH+yfcxYL3C+K/uFseG1zUa9JrVAX3LQb1vPdGHcCSWIupoKMdt+xvSvp1ERERERERERES09RFgqxuAKHOqlxdx1yV5zHIj2hFga3/+C4sBpam+1GJAeZyfsRgIWfQGEY1mb0JMJkRlGR6fWnQQb5pFujRVq8eqc+X4gHspiJWfqM1qVCaJrDDodWgSptsMcwwYFajiDQAJY8CyNb4qGIpgzhVrYJEkoDbBtpLmVS9OkwvJjRETOYT5h64NEtOBUERTh7az2aH5Hk47fVkdpbYVYvq4EBqAnJ6AckDaXmaCxaQNWVQLP7d0NwCJqWt7qRlGgw7vv3/XmuvtaqvYcjjHbNLjF1/VpZx/4vQoXro0pZxv2ebRWZIkpWUMmNgAJI4dyjfHdtVi5SfcO+yE0xPAorDCoowVq3lP/BuwkMUmvVRdSyIABAA7m9Tr9I25cOHGHM72zSpfe++ru5WxaERERERERERERJRe4vGsVCZ7uDUBIDYA5ZvNRoCJIZTG6tK4xx8Meh1Kl48JyjIKrgHGFwgrx2pLzPo1AZh0ysUGIJdm/Jc57nXahGOHQwwAUYEq3gBQDjQATS/4lCRijb0k4VE/zUID0MUb8wiGogBiidZk05yOBBuABsbdiCwnYRurS1FWYoTVYlQeLxSObhggymXiCLBCaAASn8/1lWsrDqsz2gAkBoBiz63uFgfuOtSoud6e9sq0PN5Nu2rRs3zgPhKV8dzFSeWyVuH3ZLtoxoCNJ//GIRKNYmBSaADK4wCQo8yMnlYHgNi4wpevTmvHf/EDVt4TV8mI4a58EApHNCG9nQkEgMTfx95hJ775+HXl/O37GzQBQCIiIiIiIiIiIkov7USLIOQkF6V7hH2YbADKP/ZSodAggQDQejYLEuUz8TmeyfYfAGhaNSEg2d/HTBCDgfb1AkBC079YfEFUSBgAQvYagCbmU2vuaa5RX1SnNWGP5Kv07JrKxPX/0F0fdSqndzarB0G1Y8BSG3mUbYXWACQ+J+riPK9qMtkAJDyH7MI83nfcvUN5c66TJOzrSE8ASJIkvOfV3YhXutGS5QDQjRQagEamPUqgr7LcrIw4y1fH99Qpp09emYJ7SZyxzA9Y+a5MEwDKrw9KN8bdSlNafaVVs/NgPV3C374b425MLv8NLzHr8ba7d2RmQ4mIiIiIiIiIiAgAUGI2wGLSAwDCkSiWkjyes8gAUF7TjgCLEwCaEwJAVesHgDa7n3y26BMDQJldhF1ZblZ+H5f84Zz4XopFF46y+P9/bQOQJ+PbRJQNGQkAff/730dPTw9OnToV9/KBgQH87u/+Lu666y4cPHgQDzzwAB588EFEo9FMbE5c4rit6fnsBFcmhD9GDUkEgKrKLSgx69d8PZVZmmIFWryZmSuuj6pjidYLAGUrSLVV2gag/A8AzQihnvo4b3Kq7UIAKI0NQOFIVKlLlKB9A221GPGJdx3Cib11+NU37taEkLaqpbYM9xxu0nxNgnZU3nbpaFDfOIxMLyIUTu417cKNeeX0zmZHujYra4521ygjkfrH3BgU2o1YsZr/xJ/hYp5VpSY7/guIfTCsjfPa9ebbOhIKEBEREREREREREdHWODSL2pMbA8aG+vy2+Qgw9VgvG4AyH3KTJCnnxoCJRRfrjQBrrilVjltNzXvhC+T/cWGi1dIeADpz5gw++9nPrnv51atX8fa3vx0/+clP0NjYiDvuuAOTk5P43Oc+h09+8pPp3px11YnBFacvK9Vkk2IDUBLhHUmS4oYbUmkAEhOQ6zUARaMy+sbEAJBDOS0eDM3WKLWt0jYA5ddB7HhmN2mFqnaoI8BmXf60PfdXp+f1Ou3LS1NNGX7tgb04sbc+LY8nessdncrcViAWhjOb1obkMs1mNaFm+fsbjsgYnUkuPXy+f1Y5faCzKq3blg02qwl7OiqU80+dGdNcRvktn0eAiQGgngQDQMDasXwNVVa86mhzmraKiIiIiIiIiIiINqI9ppVcAEh7DIP7p/ONzWrEyjAIjzeEcERdgC3LcuIjwKyF3ACk/n8yPQIM0H6fx2dyIQC0eQOQyahHY7V67HRkmi1AVHjSGgB67LHH8KEPfQheb/xGHVmW8clPfhIejwd//dd/jW9+85v40pe+hMceeww9PT14+OGH8dhjj6Vzk9ZVVmJEiTkWGAgEI3Bn4eDlxJz6fWrYoI4unuY44422OgLMtc6bpZFpD/zBCIDYC2a1XQ2QFEYDkBocKYwGICEAFOd5ZSsxwmyMhWP8wUja/s9iUrq8dHtHV5WVGPELd6kjeLpWHaTfTpoxYOOJjwFb9AZxYyx2fQnAvs70jEnLtpt3q2PAxJBheSkrVvOd+CHZk0cjwMKRKPrG1N/NRBuAAG0DHgC8575uGPRFO02ViIiIiIiIiIhoWzlsQgPQYnL7JMUGIBv3T+cdg16H0uVQiwxtoMvpCcK73ORSYtavG/4AVjUA5dF+7UR4NCPAMv8cbxICQOKi22wRA13rNQABQFu9MAZscjGj20SUDWk5ajU5OYlPfvKT+NjHPoZoNIrq6uq413vuuefQ29uL48eP481vfrPy9crKSnz6058GADz44IPp2KRNSZKkDa9s8xgwWZa1DUBJjAAD4o83SmUEmM1qVKrOlvxhhMKRNde5PupUTu9sdkCSJOW8ZpTaQnZGqW2VVRgB5vWHs9IGlU5iAKguzvNKkiRNC1C6mpvEEXL2Dd5cZcpdhxrxtrs6cdv+erzljo5tf/wVnUIAaGAi8QDQxRvzWHnmdTaVF8wKhMM7a2DQS2u+Xij/v2JmK8nPBqDhKQ8CodjfuqpyC6qEUOtm9nVWKs/nY7tqsbejMIJ6RERERERERERE+WArI8DERYzcP52fxGNP4qL08Tmh/aeqVHMcczWOAEsfcXHt6WszuDQ4n/HH3IhzUWgAsm0QAKoTAkBTDABR4UlLAOiLX/wifvjDH2Lfvn349re/jc7OzrjXe+aZZwAA991335rLjhw5gqqqKpw+fRoez/bUbYljwKa3ub3G6QkisNyqU2oxaA6kJqIlTgBIDDQlSidJmj+Y8caAXR9Vx3+tbkpYPQIsH8MzRoMOJkPsVyEqy0rbUT7yB8NKm5VBL6HKHv85USN8fdblT8tju4Tnjr10+9886yQJb7ilHR96wx5Ulid+QD/dOhpTCwCdE8Z/HdwRP0SZj6wWA/bHGWe2HW8+KbMsJr0ShgmGo8rftFwnrkRIpv0HAKrtJfjDXzqKD7xuFz78xt3p3TAiIiIiIiIiIiLaUKoBIFmWNZNAyrl/Oi+Jx57EtpdEx38BhR0AWtzmBqCOhnIc312rnP/6o1eVxbfZIL4mbHSckg1AVOjSEgDq7OzE5z//eTz00EPo6elZ93p9fX0AgO7u7riXd3R0IBqNor+/Px2btSlNe40z9faax0+N4B+/dx7DSaQEJ4Q0an2VdcM0ajxNNdo/YFXlZmWsU7I0fzBXBYBkWV7VAKQdf2KzGmExxR7XF4ho/rjkE6swBsybx2PAZp1qmKe2wgq9Lv7zSmy8mE1bA1B2A0C5orXOprRqTcx5E3o+RaJRXLyhJqMP7FgbmMlnx4UxYCvKucIi70mSpFkps5gndaliAKin1ZH07TsaynHnwUYYDan9zSUiIiIiIiIiIqLUODZZ0L6eQCiCUDgKILYoPNXjaZRd64V3JpIIANkLOAAkNgCVlWzPMZh337sTVnPsGOuM04+HnxvclsddLRyJKpMKJGifK6u11JZh5ejp+NxSVkNLRJlg2Pwqm/u1X/u1hK43PT0NAKipqYl7+crXZ2dn416+VSaTATU1aqqvq7UCeH4QAODyhjWXJWpybgnfePw6ACAYkfFXv3V7Qrfz9M4opzsaHSk9dl2lVRld1lJXntJ9AEBdVSkGlxOOUb1Ocz+Tc0vKm6gSswGH9jSsCZU0VpfhxnisJSgkSylvRzaVl5mV/6fZasrL/wMA9E+p7Vn1VbE3OfH+L+1NDuD0KADAE4ik5f8bjKrtT41beD4WgvaGcuV3wukPo62lYsPrX+yfVebTVtstOLK3IelQYC6790QJvvrIVQSFN1HtLRWoqVr7RryYnzf5qMJmwcJyrabBYsz5n180KuP6mNpqd+JgE2riNOptt1z/vhFtBZ/fVIz4vKdCxuc3FSM+76kY8XlPhYzP7/zWvqgGNpb8iR/XmxQW5TtsZtTWlm9w7cJTKM/7+uoyAFMAgDDU/9eMW21+2b2jeuP/r0E9NO7xhwrmewMAgeWQGwC0NNq35f9WU2PDr7xpH7700FkAwKMnh3H/bR3oaLRvfMM0b8Os04eVo5R2mxkN9Rs/flNtGUanPZBlwBOKornRkfHtJNouaWkASpTPF2sasVjij+dZ+brXm3obTzIahBTo+GxqY8em5tRt7R2aRyicWEpwdEZ9vOba1A4+tjeob1AaazZOtG6kQhiXNL9qHNTlAbWVZHd7ZdxGGe33cWnN5flArMITE7L5ZiUQBgB1VdZ1r1dXqV4m3mYrFoTZmhUbzNYsBjuFVpFrwwubXv/UlSnl9NHddQUV/gFi4cHje7QtQBulryl/lJet3yCXi4Ym3Vhabqpz2MybrgYhIiIiIiIiIiKi3CFON5hz+ze4ppYrwdFAlNsqbOrP37l8TEqWZQxPupWvt9RtHHpx2LQtUlFhcXu+cy+pz/PtPAbz6uOt2NsZm2wRjcr40kNnEdnm7+u88HpQaYufQxDtaHIop/tHXetfkSgPpaUBKFF6faxSb7OD29FodMPLUxUMhuFyqeOOzMJmjM94MD3tTvrA+9iU+kclHJFx5vIkOho2Tw4PCGO1bGY9ZmaSnzHYVluGly7FTjdUlKR0HwBg1qv/57Ept+Z+Tl+eFB6vNO5j2IVZqf3D89jf5khpO7LJpFezcGOTbtTb8zPAIj6v6itjB7bj/cxMkvqHd2zGk/JzRzQjJOilSCQt95mvGipKlNMX+2Zx94GGDa//4oUJ5XR3U3lBfu8Odlbi2XPjAGIVqx63D0uL6hsyJalfgP/3QmYxqK+doxMutFWvHzzMBS+dH1dOdzXZMZti+Ddd+LynQsbnNxUjPu+pkPH5TcWIz3sqRnzeUyHj87swRISW+QW3H1PTbugSOK43LLSCl5gMRfM8KLTnvR7q8ePJ2dixLfdSUBn9ZDbpgVB40/+v1WyANxBGNCpjYGQe5dbCCIU5hYX6QX9wW3/u735VFz49NI9wRMa1YSce+ulV3Hu0OaOPKT6/B0fUxfhlJZv/jtc51JDQpb4ZHO+uzsxGEqVoKw1e29oAVFISOyju98dP5a58vbR0e1bk26xGWEyxUJIvEMGiL/nml6VVt1kZpbWZCaF1pX6DppaNvOpIE153cyvedFs7Tuyt2/wG69DMTF0MYHrBi2fOj+Pff3wZJ4Vmkp3Njri3rxXCDtNOX9zr5DqrRc3Cef352wA0I3z/N3pe1TjUn9mcy4eovPUkrkuYlVpelp8BqnTpFEKAAxPuDa4JzLp8GFtuzjLoddjTVpnRbcuW/Z1VqF5endHdbC+4lqNiVSYEQBfzoD2td8SpnO5pcWRtO4iIiIiIiIiIiCh5JqMepcvHcyJROeGJDote9fiFTdinSfnFXqoee3IvH5MSJ5M0VlkTOvYgtuO4l3K/2T4RkWgUXn8YACAByu/JdmmsLsUbbmlXzn/35/2aVp5McwotX+Jx7/W01avhiqGpwgjIEa3Y1gBQbW0tAGB2djbu5TMzMwCAmpqabdkeSZK04ZX55MMrS6vCIpsd7AeAQDCC+eV5lHqdpAljJMNk1OMd93ThLXd0Qq9L/UdpF8Iaz1+cxB/864v46v+7iucuTsIfjKWpDXoJHY3xm41qhe2fXsj/ANDS8h/IfCQGgMQxX6uVmA3KH/9wRE7L6B4xAFTsFZqN1aUwG2PhwoXFgGY82mrn++eU07vaHLGEegEyGfX4/fccwYffuAe/8Zb92d4cShObMD5x0ZfbH5RkWcZ1IQDUzQAQERERERERERFR3nEIx7TEg/4bcQsBoEJpeylG4rGnlWNS43NiACixgolCDAAt+cNYWepvtRi2dNw4Va8/0YaG5XKCQDCC//zpNchpKCBIxIJHPEa5eUlBW12ZcnpsZgmhcGamExFlw7b+9u/cuRMA0NfXt+YyWZZx48YN6PV67NixY9u2qbZCDUlMLXg3uGZ8Sz5tWGQwgQDQpND+U+MogUG//S/CogrhzVK8l2GTUYd33NOlBBpW04So8jQAVGpRD2J7A7nfYhFPVJYx61LTtPWbvNGpFoJbs66t/dwCwYgSFtPrpG1PFucanU7SpIc3CgaKAaCDOwq7YrDKbsEt++o1gTvKbzbhw3KuNwBNL/iUD4VWswFNNdvTNkhERERERERERETpo5lqkWAASNx3yQag/BUvuKNpAKou3gCQ2IZVlqWQm9Ggw/vv36WcP9s3i1euzWzLY7vEBiDb5gEgq8WoFFxEorLmeUSU77Y1eXLHHXcAAJ544ok1l73yyiuYn5/H0aNHUVZWtubyTKnbYnjFs6oBaGx2CQFhBmk8E/Pqi0hDiuO/0qmhyqoJbFhMeuzvrMLb796BP3rfUXzpd+7Eq4+1rHt7h82shJg8vlBejtAqhAYglyeoJFRLLQaUlmz8JrbGrs63nHVurYbPJaTn7WUmjndCYmPAAqEIrgypc0kP7KjK+HYRpZP4YTnRut1sEcd/7Wy2JzQbnIiIiIiIiIiIiHKLtgEosfCGNgDEBqB8VVZiVPbrLvnDCIWjmuBGQ4IBILu18AJAmjF3mxwfzKTuFgfuOtSonH/oyX5Eoplv1xFfCxIZAQYArRwDRgVqW2sYjh8/jp07d+K5557Dd77zHbzzne8EAMzPz+Mzn/kMAOCDH/zgdm6Spr0mlQYg76qwiCwDw1OL2NnsWPc2k3Pq49TnQADIZNTjU+8/huujLjTXlKGltgw6XeIHRnXLo9RW/shOO31or8+vBLUYgFr9M80X4vivRMbKiQ1AM1tsAHJz/Nca4si8G+PxA0BXhhaU0FZDlTXlcYBE2aJpAMrxEWDXxPFfrY6sbQcRERERERERERGlTmz3cC4m2gAkhCPYAJS3dDoJNqtRaXp3LwVTawASAiLiAvd85vEJDUBZDAABwDvu3oFTV6ex5A9j2unDy1emcWJvfUYfU2wDE0OCG2mrK8Opq9MAgKHJReBgRjaNaNttawOQTqfDX/7lX8JqteJTn/oU3vnOd+KjH/0o7r//fvT29uKd73wnXvWqV23nJqFOGAGWSgPQkm9t48HgxMYpQXEEWENlbowgqa2w4rb9DWirtyUV/lFu78jvMWBWYQTYUh42GAEpBIDS2QCU5GzNYtDRoCaHByfdiMaZc1pM47+oMIkflnN9BJgmANTiyNp2EBERERERERERUeq0DUDJjwAr5yLmvCYuQh+bXYJ7+WdrMuhQXW5Z72br3kfBNACJAaAsh9ysFiPuEybL/PiFobjHyNLJlUoAqF48jscGICoc2xoAAoADBw7goYcewmtf+1oMDQ3hueeeQ2NjIz7zmc/g05/+9HZvzqoGIB/kJF+A4oVFBibjt32smMixBqB0qN3iKLVsExuAfMXSAGRXrzO75QYg9Q8r3zzHVJVbUL78JssXiGBqXtswJssyzvfPKucPdnH8F+UfTQNQDgeA5lx+zLpiQUeTUYe2OtsmtyAiIiIiIiIiIqJcJI73WUiwAcidI+ORaOvE9p6rwwvK6foqa8IFB+WaEWC5u187GR5xzF0OPMfvPdoMi0kPABifXcKZazMZe6xwJKoEwSQA5aWJ/f9bheMEI9MehCOZH1VGtB0yMgLswQcf3PDyrq4u/MM//EMmHjpp9lITzEY9AqEIfIEwlvzhpKrRluKERTZqAPL6w9p5lAwA5QRtA1C+BoDUFp8ax+YpZ/E6M1ttAOIIsDUkSUJHQznOLbf8fOuJPvzya3tQtdy8NDazhHl37MNJidmAHU32rG0rUaqsFgMkKTb+0hcIIxyJwqDf9mzxpq6NOpXTXU32nNxGIiIiIiIiIiIi2py4uPnS4AIm572or1z/WNu5vlklKKTXSVzEnOfsQnjnypAaAEp0/BegXcjuWkosRJbrPDn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      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 1152
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(20,4),); River_Arno.loc['2007'][\"Temperature_Firenze\"].plot(); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "gZ0p02ydYnjK"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"Temperature_Firenze\"]=River_Arno[\"Temperature_Firenze\"].interpolate(method=\"linear\")#\"spline\", order=2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "_gyiE5H5YnjK",
    "outputId": "8ae99cf8-ff8a-493b-c052-23f6d33eac16"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2007-03-01    14.75\n",
       "2007-03-02    15.45\n",
       "2007-03-03    15.25\n",
       "2007-03-04    16.80\n",
       "2007-03-05    14.55\n",
       "2007-03-06    13.25\n",
       "2007-03-07    11.95\n",
       "2007-03-08    13.30\n",
       "2007-03-09    14.65\n",
       "2007-03-10    13.65\n",
       "2007-03-11    12.65\n",
       "2007-03-12    14.45\n",
       "2007-03-13    13.30\n",
       "2007-03-14    13.30\n",
       "2007-03-15    16.60\n",
       "2007-03-16    14.85\n",
       "2007-03-17    13.15\n",
       "2007-03-18    13.20\n",
       "2007-03-19    10.70\n",
       "2007-03-20     5.65\n",
       "2007-03-21     7.95\n",
       "2007-03-22     8.90\n",
       "2007-03-23     9.15\n",
       "2007-03-24     8.70\n",
       "2007-03-25     8.90\n",
       "2007-03-26     9.30\n",
       "2007-03-27    11.00\n",
       "2007-03-28    12.10\n",
       "2007-03-29    10.30\n",
       "2007-03-30    11.00\n",
       "2007-03-31    11.30\n",
       "Name: Temperature_Firenze, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc['Mar 2007'][\"Temperature_Firenze\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Potential evapotranspiration\n",
    "\n",
    "Soil evaporation and plant transpiration are two important components of the soil water balance. Evapotranspiration is the sum of these two evaporative losses (one from the soil and the other from the plant stomates). There is another term, the potential evapotranspiration (PET), which refers to the potential evaporative losses, typically by an reference crop of idealized conditions (e.g. green grass of 8–15 cm height) actively growing under non limiting soil moisture conditions and under the influence of the local weather. This value is used as reference of the maximum water loss from the system due to soil evaporation and plant transpiration.\n",
    "\n",
    "Knowing the potential evaporation is useful to characterize climate regimes, usually the ratio of annual precipitation to annual PET. Another common use of PET, is in combination with empirical coefficients that can be used to weigh the PET of the reference crop to another crop.  \n",
    "Because potential evapotranspiration represents potential evaporative losses, the atmospheric vapor pressure deficit is a common term in many models. The vapor pressure deficit is computed by subtracting the actual vapor pressure from the saturation vapor pressure at the same ambient temperature. Vapor pressure deficit can be easily approximated using air temperature and relative humidity using **Tetens equation** for the saturation vapor pressure. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tetens(T):\n",
    "    Tetens= 0.6108*np.exp(17.27*T/(T+ 237.3)) \n",
    "    return Tetens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "River_Arno[\"Tetens\"]= River_Arno[\"Temperature_Firenze\"].apply( tetens)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hydrometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "t61zQgMYYnjK",
    "outputId": "8e00fe5f-1eae-4bb8-f8bb-f0f4ac51781d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 268,
       "width": 1146
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(20,4),); River_Arno[\"Hydrometry_Nave_di_Rosano\"].plot(); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "UQKUfW1gYnjL",
    "outputId": "3abb25f9-5d40-4664-aeec-7614d8c6d17c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2008-12-25    0.00\n",
       "2008-12-26    0.00\n",
       "2008-12-27    0.00\n",
       "2008-12-28    0.00\n",
       "2008-12-29    0.00\n",
       "2008-12-30    0.00\n",
       "2008-12-31    0.00\n",
       "2009-01-01    1.58\n",
       "2009-01-02    1.84\n",
       "2009-01-03    1.84\n",
       "2009-01-04    1.76\n",
       "2009-01-05    1.54\n",
       "Name: Hydrometry_Nave_di_Rosano, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"25 Dec 2008\":\"5 Jan 2009\"][\"Hydrometry_Nave_di_Rosano\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mMlANYOnYnjL"
   },
   "source": [
    "Missing flow rate data for the last half of 2008, which will cause bias by a 'simple' replacement. Let's try fill the gap with averages deduced from the other complete years..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "8pmCJtgHYnjL"
   },
   "outputs": [],
   "source": [
    "averageHyd= River_Arno.groupby('{:%m-%d}'.format).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "yW8FiMj5YnjL"
   },
   "outputs": [],
   "source": [
    "averageHydro = averageHyd[\"07-02\":\"12-31\"].Hydrometry_Nave_di_Rosano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "Ea_yTPySYnjM"
   },
   "outputs": [],
   "source": [
    "averageHydro2008= pd.to_datetime( averageHydro.index, format='%m-%d') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('1900-07-03 00:00:00')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "averageHydro2008[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "as grouping over the years has stripped away the year, I have to offset 1900 to 2008"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "-8vErWb4YnjM"
   },
   "outputs": [],
   "source": [
    "from datetime import timedelta\n",
    "#today = pd.to_datetime('today')\n",
    "averageHyd2008 = averageHydro2008 + timedelta(days=108*365) #averageHydro2008 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "UJ1LqszRYnjM"
   },
   "outputs": [],
   "source": [
    "averageHyd2008= averageHyd2008 + timedelta(days=27)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "X7ly59IbYnjN",
    "outputId": "42be9822-413b-4e0f-f4c5-0bc4252a95d6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2008-07-03 00:00:00')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "averageHyd2008[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "KE23alk-YnjN"
   },
   "outputs": [],
   "source": [
    "averageHydro.index= averageHyd2008"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "J95EPgtnYnjN",
    "outputId": "d2851cca-617b-4c63-d319-7a1e6a45e31d"
   },
   "outputs": [],
   "source": [
    "#averageHydro"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "l1zBUGFfYnjO",
    "outputId": "be76bba8-3ce4-473d-aa73-727dcef95f83"
   },
   "source": [
    "averageHydro.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "wAe3Mlf4YnjO"
   },
   "outputs": [],
   "source": [
    "River_Arno.update(averageHydro ) # insert into original frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "GY2-wIcPYnjO",
    "outputId": "08d9a426-c042-40bc-fd86-300ef6f789e0"
   },
   "outputs": [
    {
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F53gEAAAAAAAAMLupo8RqK0tkm7g8OBKgLRwAgAJiHhH2qovb5C1JHMuqrUiEg/tHCAYhPQSD5kmrKRh0128OacwfD7xUlbn1sbddbNx2smtUQdP4rGIXMDUGeZI0BknSMlMw6EzPWNL7AMXs+Rnagfa09+oz33lGP3nsiCWEV0xGx02NQTkeJWa327Ss0TROrJvWIAAAAAAAAGQnaGkMssvpsKt6ojEgJg4MAgBQSPym3EDZlMkXjBJDNggGzZO2+sTB4Vi8KEhup13vf8sFWtFUoZY6r6T4OKzjnRw8nmR+sStxO5PeZ1ljInR1qpvGIGAq89iwN1+1Wldf0GKcRRSOxPTA0yf0me88o6Mdw4uzwEVkGSWW48YgSVphDgZ18foEAAAAAACA7ITCiWDQ5Mm0dZWMEwMAoBAFTCf2Ty3RqC73GMf7hkeDtAYiLQSD5smyhjLLZZuk29+0WatbKiVJa1urjNuOnGGc2CR/2o1BHHgHzIKhiA6dHDQuv/y8Zt32+nP16XdcorWtlcb1fcMB/cPdu/Xoc2cUm0wvFgHrKLHcNgZJ0oqmCmP7ZBehTwAAAAAAAGTHPErMNTHGvq4qEQzqHRpf8DUBAID5YT5WPrVEw+mwq7I8fmwrJmlwlNZApI5g0DxpM4VXJOmtr1ynLRsajMtr2xIH6NsJBkmSorGYgpYXu+TBoOZarxz2eB6ybzggn784RyIBybx4ctA4i6ilzqv66lJJ0uqWSn3ylq161xvOldcT/yARjsS0/aFD+s9fHSyakYaWxqDSeWgMsgSDCC4CAAAAAAAgO0FTY5B74mTa+ioagwAAKET+OY6V11aYxokNEwxC6ggGzZOaCo9es3WZPG6HbrhylV532XLL7WvbTI1BHcNF1dgxk1Aoqsnfgttpl91uS3o/p8OulrpEI9NpWoMAg3mM2Plr6iy32W02vfz8Fn32tkstI692vNCpL23fre7Bwj+7yDpKLPeNQW0NZbJNvHR19fvkDxJcBAAAAAAAQObMJ/QZjUHmUWLDBIMAACgUluk6SYNBic8AAyMEg5A6gkHz6G2v3aCvfegV+sNXrJHNZg25tNaXqdQT/8s8PBZUL6l++UOzv9CZLWtMBIMYJwYkzBYMmtRYXapP3bJVLz+/2bjuZPeo/v57u7SnvXfe17iYzKPEyr25bwzyuBxGcDEm6XTPWM5/BgAAAAAAAIpHyNwY5Ix/b15HYxAAAAUpEJq9MajG3Bg0wmcApI5g0Dyz25K33thtNq1pNbUGMU7M0qwx0xixSctMo9o48A7EdQ341D0Qb/1xu+zasLx6xvu6XQ796evP1a1/sFFOR/x1yhcIa9tPntc37n9B/QV6ptHIuLkxKPfBIEla0ZR4fTrZNTIvPwMAAAAAAADFwTpKbHpjECcdAwBQOALm4+WuJI1Bps8AA4wSQxoIBi2ita2VxnY7wSAFzNVoLues9zUHg07RGARIkvYdSbQFnbuixqgWnonNZtO1F7Xpk3+yVbWViYTxzoPd+tS3ntbPdxyzVBXnu1A4YrzOOOw2eT2zv85kakVjhbFNMAgAAAAAAADZCJm+n3NPjhKrso4RiUZjC74uAACQe+ZRYiVJjmOZj+f1M0oMaSAYtIjWtZkbg4YXcSVLg+WFbs7GIPMosTHFYvzDB9h3tN/YPn9t8jFiyaxuqdTfvvNSXb6pybguGI7qZ08c06e/84x2H+ouiL9jI75EW1B5qWvaiMdcsTYGEVwEAAAAAABA5gKmxiDXxCgxj8thtGFHojENjnJgEACAQuC3FGnMMUqsQKd/YH4QDFpEa0yNQae6Ry2NOcXI8kI3RzCopsJjtH2MB8LqpyoNRS4YiujFkwPG5fPXpB4MkqQKr1t//qbN+sTbt2hFYyLY0jvk19fue0Ff/fFey7i/fGQOBs3XGDFJWtGUaAw63TOmcCQ6y70BAAAAAACAmYWSjBKTGCcGAEChCUeiiky0ADrsNjkd009wr62wtgYCqSIYtIi8JS611sebb6KxmI53FndrUCCUemOQzWbTMlN44TTjxFDkDp0aNL4kaK71qqG6NKPn2bC8Wp9956W69XUbVV6aCM/sP9avnz1xLCdrXSwj40Fju8LrnrefU17qUt1ElWM4ElVnn2/efhYAAAAAAAAKWzDJKDFJqjeNE+ujMQAAgLw3dbpOsskXVeVuTV47PBbk5HSkjGDQIltrag1qPzO0iCtZfOY2kpIk1WhTmceJEQxCsdt3pM/YTrctaCq73aZrL27Tl//8Zbr24jbj+ieeP5vXrUEL1RgkScsbE61BJ7tH5vVnAQAAAAAAoHCFkowSk6Q6czCIxiAAAPKe+RjcTNN1nA67qsrjJ7/HJA3SGoQUEQxaZGvbqoztI2eKvDEojVFikrSswdwYNDYvawLyxb6jpmDQ2tqcPGdZiUt/ct0GNdV6JcXH9v3uhc6cPPdiMAeDzG1I82FFU+L16WQXwUUAAAAAAABkJhg2NQYxSgwAgIJlbQxyzni/WtNngH6CQUgRwaBFts4cDOoYUiwWW8TVLK5UX+wmMUoMiOse8KlrYFxS/MuBjcurc/bcdptNr96SaA36v92n8/Z1asS3MKPEJGllk6kxqIvGIAAAAAAAAGQmGEo0BrlnagxilBgAAHnPUqIxy3SdmgqPsd0/wmcApIZg0CJrrvPK64mHYEZ8IXUPji/yihZPIJReY1BbfWKUWGefjxmKKFr7jvYb2+euqLFUCufCy89vUcnE38mzfT4dODGQ0+dfKKPjCzhKbEpjUL6GqQAAAAAAALB4otGYItH490o2SU6HzbitvqrU2GaUGAAA+c8fMpdozHysr7YiEQ4eGKYxCKkhGLTI7Dab1rRVGpePnBlaxNUsLktj0CwpyEmlHqfqJ86KiERjOtvnm7e1AbkUjkR1128O6Rv3v6BhU4tNpqxjxOqyfr6pSj1Ovfz8FuPyw78/nfOfsRDMo8TmuzGorrJEZSXx0KcvEObLGQAAAAAAAKTNPEbM5bLLZksEg8yjxPqG/ZyYBgBAnvMHUgsGWRqDCAYhRQSDloB1raZxYmeGF3Eli8sfDBvbqTQGSdKyBsaJIf/sealXjzx7RjsPduuXTx3P6rlC4YheNDX4nL8m98EgSXr11mXG9t723rxsN7OMEiud38Ygm82mFaZxYie6eH0CAAAAAABAemYaIyZJ3hKnSiemEYTCUQ2bTooDAAD5JxBK7Vh5bSWjxJA+gkFLwNo2czCoeBuDzHMTZ0tBmi1rTIwTO93NgXfkh66BRLvV4VODWT3XoZODCobjXxA013rVUF06xyMy01zr1XlraiVJMUmP7M6/1iBrY9D8BoMkaXmjeZzYyLz/PAAAAAAAABQWc2OQ2zX9cM5ko77EODEAAPJdqtN1zKPE+kdoDEJqCAYtAWtaKzVZAHqqZ9TSnFNMUp2baGZtDBrL+ZqA+TA6ngionO4eU8C076frefMYsXlqC5r0mq3Lje0nnj+bd69VlsageR4lJkkrTY1BpwguAgAAAAAAIE2hcKIxyOWc/p351HFiAAAgf1lLNJwz3s/cGDRAMAgpIhi0BJR6nGptiDffxGLSsbPF2SxhfrHzzJKCNGOUGPKRORgUjcV0ojPzv/P7jvYb2+evrc1qXXM5b02tmmrijUTjgbB+t79rXn9eLkWiUY35E0GmstKZP1DlyoqmxOvTCRqDAAAAAAAAkCbrKLHph3PqTI1BvUPjC7ImAED+i8Vii70EJGFuDJptlFhVuVu2idaR4bGgJUgMzIRg0BKxtpVxYv4UU5BmTbWlcjriu/HASEBjfuYoY+kbG7c27Rw7O5zR84wHwurqj48lczps2ri8Otulzcpus+lVW5cZlx/efTpvPjyOmn7nZSVOOezz//bXXOeVy5l4fTI3FgEAAAAAAABzsYwSSxIMYpQYACBdLxzr04fv3KGv3rNHQ2Mct1hKrMfKZw4GOex2VZebWoNGaQ3C3AgGLRHr2hLBoPYiDQYFUnyxM3PY7Wqt8xqXTzOuB3nA3BgkSUc7MgsGdQ8kzgJqqC5NWieca1ed32KklDt6x3TwxMC8/8xcGF3gMWJS/PXJ3Gp2+NTggvxcAAAAAAAAFIagqQHAnaRl3zJKjGAQACAFv9l5SkNjQb1wrF9f+cGzjKJaQgKhxEnuszUGSVJthSkYxDhRpIBg0BKxtq3S2D7aMZw3LRy55A+lVo821bJG8zixsZyuCZgPOQsGDSaCQY3VpVmtKVWlHqeuOq/FuPzw7tML8nOzNeJL/M4rvK4F+7mbVyfGuz17uGfBfi4AAAAAAADyX8g0Ssw1xyixPg4KAgBSMGxqCTrb59M//uBZ9fMesiRYGoOSBILNakzBoH7CXUgBwaAlornWq7KS+Pis0fGQ5YB/sfAHTSnIOV7szMyNHKd7aAzC0jc1GNQ37M+orrF7wGdsN9Z4Z7lnbr1qa5uxveelXvXkwevVyLg5GLQwjUGStHVDg7G9p71P4QhzXgEAAAAAAJCauUaJmYNBvUP+ojzhGACQHl8gbLncPTCuf7j7WfXmwbGeQmcdJeac9b61ptZAWp+QCoJBS4TNZtNyU/ONeURQMYhGYwqazn5IqzGooczYJhiEpS4ai2nMH5p2/bEMWoPMrxONNQvTGCRJLXVlOm+iCScm6bd7OhbsZ2dqxDJKbOEag1Y0lRuz3scD4bwZvQYAAAAAAIDFF7Q0Bk3/zryi1CW3K36Yxx+MTDvYCwDAVOOm9wqbLf7f3iG//uEHz6rLdEI6Fl4gmPp0HUtjEI1PSAHBoCWkmOcBB8xjxFwO2SffiVJgHiV2pmeMsyKwpI0Hwkq2ix49O5T2cy1WMEiSrrmo1dg+fGpwQX92JhZrlJjNZtPWjYnWoN2HGCcGAAAAAACA1ITC5u/Npx/OsdlsRX1cAQCQnlgsZgmRvu/G8+V0xN9f+ocD+se7n9XZvrHFWl7RszYGzR4MojEI6SIYtIQU8zxgfxoJyKmqytwqL3UZz8M/frCUTR0jNuloJo1BplrHxuqFDQata6sytk92jygaXdqBPEtjUOnCjRKTpK0bGo3t517qWfK/KwAAAAAAACwNwfDsjUHS9HFiAADMxB+MGCevu112Xby+QR94ywVyTYyrHBwN6h9/8NyMx7Iwv/yhNIJBlsYggkGYG8GgJcQSDCqyD/CBNF7oprLZbJZxYqcYJ4YlzPxhajLQJknHzg4rmkbbVTAUMRLAdpvN8vqxEKrKPaoqd0+sJaqz/Uu7XtLcGFS+gI1BkrSmrVJVZW5jHS+dHlzQnw8AAAAAAID8FDR9b+5O0hgkSfVViRMGi+24AgAgPeYxYl6PU5K0eXWtPvjWC433meGxoHYe7FqU9RU7fzDx5+NxpTFKbIT3f8yNYNASUl9ZvMl+88zEkjle6JJZ1pAYJ3a6h4o7LF1jpmDQyuYKY6zVeCCirjTCNT2m14jaSo9R9biQVjVVGNsnOtNvPFpI5kDWQo4Sk+LBrS0bGCe2GMYDYR06OaDf7Dql7z94UL/ZdSqtAB4AAAAAAMBisjYGJf/+r64ycWCw2CYRAADSYx4jVjoRDJKkc1fW6IYrVxmXOda6OCzHy93OWe4pVZd7ZLfZJMVPSjePHwWSmX2PwoKqM40CKrYP8JYEZJqNQZK0rDERDDpDYxCWsKmNQatbKvX8kT5J8XFiLXVlMz3UonsgESJqqlnYMWKTVjZXaO/E2k90jurK8xZlGYZoLKa9L/XK7XZo08oa2SY+EEmLO0pMkrZsbNCjz52RJO0+3KObX7Pesj7khs8f1pP7zupox5BOdI6oa2B82n2WN5br3JU1i7A6AAAAAACA9IRMwSA3o8QAAFlK1hg0aXlj4mRwjrUuvFgsZgkGedyzFwLY7TZVlbuN6SIDIwE11njndY3IbzQGLSG1FR5NHiYeHAkoHInOev9C4re80KUfDGozjRI72cWbFZau0fHEh67yEpfWtFYal492pN6602MKPDQs0hv9yual1Rj01L5O/ftP9+lffrRH9zzSrpipGcY8SmyhG4MkaePyapWVxD9kD4wEdLxzZMb79g/7NTTKPNh0negc0ee+t1M/evgl7TzYnTQUJEmnumb+3QMAAAAAACwl5sYgRokBALLl85sag0qswaBlpmOtZ3rGLMdYMP+Coagmf+Nup10O+9wxjlpTa+BkQAiYSU6CQZFIRHfddZf+6I/+SBdffLEuuOACveENb9DXvvY1BQKp74THjh3Thz/8YV1zzTW68MILdcMNN2j79u2KRosjION02FU9MQ8wpvjB4WIRCKVejZbMsoZyOR3xWFVnv49/AGHJMjcGlZU6rcGgs6mHa7oGE6GHxurFaQxa1ZxY+4nu0UUf0fTs4cSIrt/sOqW7//eworGYYrHYlFFiC98Y5HTYddG6euPyTOPEdh/q1ie++bQ+/LUdOpbi/hCLxYoqSJrMk8+f1Zfu2j3trDiH3aZlDeVa0ZRolevh/QEAAAAAAOSJoOl785lHiSUag4ptEgEAID2zNQbVVHhU6omXN/gCYQ2OBoWF4w+lX6JRU5H4DNA/TDAIs8s6GBSJRPTe975Xn//853X06FFdeOGFuuyyy9Td3a1t27bplltu0fh48rP2zV588UW95S1v0a9+9Su1trbq6quvVmdnp77whS/oYx/7WLbLzBvm2s9iCreYG4NKXOk3BnlcDm1ckRgNs6e9NyfrAnJtLMkosUmnu0ct/9ifjbkxqHGRRolVl7tVOdG+EwhG1NXvm+MR8ycWi+lox5DlukeePaP//vWLGvOHFYnGQ0slbseMX6LMty0bG4zt3Ye6p6XtewbH9Z8PHFQ4ElUsJu3Yd3bO5wxHovrHu5/VX/7r43r6QGfO17zUhcJR/devX9R/PnDQqNYucTv0/169Xp95xyX6+odfob9/12V64xWrjMf0Ds79mQQAAAAAAGApCKYwSqyq3G2cNDs6HpI/GE56PwAAfLMEg2w2m9rqEyfZnullQstCMr9/e1I8Vl5bkWgM6h8pnlwBMpP10dF7771Xjz32mDZu3Khf//rX+v73v6/vfOc7euihh3TxxRdr7969+vrXvz7rc8RiMX3sYx/T6OiovvKVr+iHP/yh7rzzTj300EPauHGjfvGLX+ihhx7Kdql5od6U7u8tonR/tqPEJFnaOPYSDMISNTolGFRW4lJTbXwUWCQaS3kUXvcSCAbZbDatNLcGLeKIpr4hv4ZN48ImPb73rL5x/wvG5cUYIzZp86pa48Nc18C4OnrHjNvCkai+cf9+jQcSr4Wp7AsHTwzo8OkhhcJR/c9jR4uq2rNvyK9/uHu3frunw7iurb5Mn33npbru0uVa3VIp18QXZvXVpvfWIgrdAgAAAACA/BYynUQ40ygxu82m2oriPOEYAJAec2NQqWf6BJe2KePEsHACwfSn69SacgX9jBLDHLIOBt13332SpE996lNqamoyrq+trdXnPvc5SdKvfvWrWZ9jx44dOnTokC677DK9+c1vTvoc27dvz3apeaFYG4MCphRkSYbBoAvX1RnbL54csLy5AUvF1GCQJK0xtQZNbb1JJhyJWmqBGxZplJgkrWxOpMdPdC5eMMg8hu2cFdW6YnOzcfnA8QFju7x04ceITXK7HLpgbeJ1yjxO7L7Hj04bHXYqhfFsx02/875hv452pD6OLp+1nx7S331/l46dTfz/X76pSX9z61Y1TwTtzOqrEn9HeobGiypABQAAAAAA8lcqjUHSlOMKRXTCMQAgPT6/qTGoZHr4pLWeYNBisUzXSfFYubkxaIBRYphD1sGgmpoarVmzRhdccMG021atWiVJ6u7unvU5nnjiCUnSa17zmmm3bdmyRXV1ddq9e7dGRwu/sswyD7iIgkHmuYmZBoPqq0q1rCEeUghHYtp/rD8nawNyyTJKbKK9Zk2rKRh0du5gR/+w3xiNVV3uTrlScD6sbDI1Bi1mMMgUiFnbVqV3veFcXX1By7T7LWZjkCRtNY8TOxwPBr1wtE8PPnNy2n0DoYilGSqZqb/zZw525WCVS1s0FtO3frHfCNk57Dbd/Jr1uv2GTTOm6MtKnMZs5GAoqpEk7VIAAAAAAABLTTCc+N7c5Zz5cE6xnnAMAEjPXI1By8zBIEaJLahMgkE1lYwSQ+qyDgZ94xvf0IMPPiivd/oZ+vv27ZMkNTc3T7vNrL29XZK0YcOGpLevXr1a0WhUR44cyXK1S199kSb7zfVo2YQcLlrPODEsbaN+UzCoJEkwKIXGl+5B8xix6a+9C8nSGNQ1umhNLOZA1ZqWStntNr3j+nP0yovbLPdb7GDQ+WvqjJnvp7pH1X56SN/55QHj9vPW1Grz6lrj8sk5xrNNDQbterFb0Whht+Ec6xg2xoGVehz62Nsu1msvWS6bzTbjY2w2m6U1iHFiAAAAAAAgH4RCpsagGUaJSVJ9JWPUAQBz85mCQd6ko8QSx3w6en1zTjVA7gRMJRqelBuDTKPEaAzCHFIbUJeBWCymO+64Q5J03XXXzXrfyUahhoaGpLdPXt/bOz9BD7fbqYaGinl57nStS3zO18BocMmsa97ZE/+oaagry/j/+5WXrtAvnzouSdp3rF+1deVy2Gc+WFzMimbfWmLGTDWNK5fXyFviUnVNmVxOu0LhqHqH/HKXulVV7pnxOXyHE6+FK5orF/XPsr6+XBVet0Z8QY0Hwgrb7WqtL5/7gWma7f8xHInqpCkgc+n5raqZ+DLkQ2/fqopyj37+xFFJ0iWbmhd93794Y6N2HYg3+/zrvXuNhH5NhUcfv/Uy3f/4EaPxrGc4MON6h8eC0wKkQ6NBdY8Gdf7a+qSPKQS/fDrRrnTVhW268uLlKT2urbFcp7rjZzgEo/nxGpgPawQyxf6NYsR+j0LG/o1ixH6PYsR+v/AipuOxzY0zfw+4enm1sT0aiPBnlQF+ZyhG7PfFJ2x5X6mYtg80NEhV5W4NjQYVCEUUczjUUFemfJRv+7fraGISTlVFSUrrnzwOHonGNDoeUlW1V+5FnDKCpS3rxqCZfPWrX9WuXbtUX1+vd7/73bPed3w83n5RUlKS9PbJ630+X24XuQQ11JgaDQbHjXFBhc5aXZd5o8e6ZdWqmZinODwW1OETA1mvDciVQChitGM5HTajptHltGtNW5Vxv0MnZ99vO/sSc11b6hf3A5nNZtPaZYm1Hzk9tOBrOHF22Ji33lBTaoSCJtf37jefp7+//Qp94tZL9cqtqYVI5tOV5ydGnE2+9tls0kfetlXVFR6taU38Po/N0iB15PRg0uufeO5Mbha6BMViMT21r8O4fOUFrSk/trE20a7V2c9sZAAAAAAAsPSZR4nNdqCvwdQq3j1Q+MdRAACZ8Y0nplqUlSY/HruyOTHl4mTn7FMNkDvjwdnbnJJx2G2qrTK3Bo7Pcm8Uu3lpDLrjjjv0rW99S263W//2b/+m2traWe/vcMQ/0M42BkSSotHorLdnKhgMa2gJ/UWp9Lo07AspEo2p/VivaiuTB6YKyfBoot4s4A+qpyfzN5rz19Tq8b1nJUmP/v6E6ssXd3TQUjOZMM3md4zM9JvaXcpKXOo1zWdd3lCmQxNBtj0Hu7S6YebAz/EzifBNmdu+6H+WrbVe7ZnY3ne4W+e0Vc5297Sksr/uPtBpbK9sqkh632W18dBl/xIIhKxpKpfdZrNUcL7+ZSvVWlOinp4RVXsTb83tpwbU3T2c9P1x76EuY7utoUxneuL/b0/sOaMbr14lh33esr+L5mTXiDr74l9ulbgdaq0uSXn/LzNVb57oGFr0vzez4XUahYz9G8WI/R6FjP0bxYj9HsWI/X7xjJvax0eGx2WPRJLez2k6dtLZN8afVRrYv1GM2O+L15D5eOx48uOxDabj0geO9Gh1Y341BuXr/t3Xnwj2RiPRlNdf5XWrZyCec2g/3i8X498KWjZNWDk9ahgOh/XZz35WX//61+XxeHTnnXfq0ksvnfNxpaXxA7Z+f/LZt5PXl5Xl1wtPpuqqim8esN+UgvRkWXF24brECJ297X1ZPReQS6OmJHb5lCT2mtZEmObo2ZlbYiSpZzARZGw0tYwtllXNiTehE12zBHgO9ehbP9+vI2dy2yp0tCPxfGtachdKmi8VXrc2rqg2Lq9rq9Kbr1ptXG6sKTVeB4d9IQ2OBpM+zwlTUv/VW5eputwtKb6fHSzQtrRnD/cY2xeuq5fLmfrHmIYqayMfAAAAAADAUhcKJwI/7lm+B6mp9Mg+cWLZ0GhQoXDyABEAoLiZJ7jM1ErTZjpxffKEZMw/fzDx3u1xp36svLbSY2wPjBRHrgCZyVkwaGxsTO95z3t0zz33qLKyUt/97nd1zTXXpPTYxsZGSVJvb2/S23t64gcCGxoacrPYJa7OlMTsK5JgUMD0YleSxotdMptW1RoHizt6x6hOxZIxNktF49TxUdEZEr3RWEzd5mBQ9eIHg1aYg0GdI4olWXv/sF/fuP8FPX2gS9+4/4UZ//8ycexsIiBjDlgtZTe+Yo28HqeWNZTp9jdtktOReDu222xa3lhuXD7VnTxsZQ5hrW6u1KXnNBmXdx7onodVL77dpmDQ1g3pfSaor068t/YUyXsrAAAAAADIX7FYzDJKbLYTpBx2u2oq3Mbl/uHAjPcFABQvnykYVJpKMKiXYNBCyfRYeU1FIhjE+z9mk5Ng0NDQkG655RY98cQTamlp0d13351SU9Ck9evXS5La29un3RaLxXT06FE5HA6tXbs2F8td8urNrQbDxXHw0p/DYJDH5dCmlTXG5T20BmGJGDVV/05tDGqoKjGu8wXC6upPHmiLn/ETNZ7DW7L4o/IaqkqMZPmYP5w00PjIs2cUicbDQH3DAR3tmL0VKVXjgbDOTnwwtdtsWtmceYXeQlrbVqV//+DV+txtl1le8yetaEoEg050jU67fcwfUs9g/PfssNvU1lCmyzY1Grc/e7jHckZZIejs9xlnJ7icdp23ZvYxpVPVV1lDt9EodZoAAAAAAGDpikRjmjy3zmG3WU4sS8Z8wnGxHFcAAKQuHIkqGIofN7DZZj4e21afCAad7RtTJFpYxxqWKvN0nZI0puvUViTe/wdGCAZhZlkHg4LBoG6//Xbt379f69at049+9CNt2LAhree4+uqrJUkPP/zwtNueffZZ9ff3a+vWrSovL592eyGqqyrCxqCQuR4teUI1HReuN48TS95EBSw06ygx635us9ksbTfHZhgnZm7AalgCbUFSfO3mQM7xTmvDTTAU0eN7OyzXPXuoR7lw7OywJuMdyxrKsh5FuJBsNpvsdlvS21Y0JX6fJ5OMZztp+h0vayiX02HXmpZKI/ziC4S1/1h/jle8uMxjxM5bXauSNN8rStxOVXjjQbpINKbBUT4gAwAAAACApSsYSq0taFIxHlcAAKRu6hgxmy358QlvictooQlHYuoeGE96P+SW3/S+XzJDm1My1sYg3v8xs6yDQdu2bdOePXvU0tKi7du3q7m5edb7nzx5UkeOHNHISOKg5mWXXab169drx44d+vGPf2xc39/fr7/7u7+TJN12223ZLjVvWEaJFclfYEtjUA4O7F+4NhEMOnxqUD5/aJZ7AwtjdJZRYpK0piURDJqpUcf8AaypZmkEgyRZgkEnpgRZnjnQZfl/l6Tdh7uTjhxLl/n3lC9jxFJhbgw6laQx6Ljpdzz5u7fZbLr03ERr0M4Xu+ZxhQtvtylMtnVjZqNFza1BvXxBBgAAAAAAlrCgqQ3anVIwyDSJgO89AABTjKcwRmySuTVosskf88s8Siydk+DNJQKn+bPCLLKqZhkYGND27dslSbW1tfrSl740433/+Z//WZL0zne+U2fOnNGXv/xl3XjjjZIku92uL33pS3rHO96hz3zmM/rJT36ixsZG7dy5U0NDQ7rpppv0qle9Kpul5pViO3AZiUaNkTc2SW5X9hPuaio8WtVcoeOdI4pEY9p3tF+Xb2rK+nmBbIxZGoOSBIPaEsGW/cf6FYvFpiW2uwcTwaCl0hgkSStNDTcnTG02sVhMD+8+Pe3+PYN+neoetTTjZMLcrLS6pXCCQW315XLYbYpEY+oeHJfPH5a3JPGWbf4dm0NZl5/bpAefPilJeu6lXgVCkbxqUZpJ/7Df+LN22G26cF39HI9Irr6qVMfOxn93PYPj2rC8OldLBAAAAAAAyClLMCiF73emjlEHAMDMN6UxaDZtDWV6YWIqwemeUV1yTuOs90f2LCUaM4x5S6atoUxup13BcFR9w34NjgZUXe6Z+4EoOlkFg3bt2iW/P/4Bc//+/dq/f/+M950MBs3kggsu0L333qtt27bpmWee0UsvvaSVK1fqwx/+sN761rdms8y8Y6787B/2Jw0HFJJAMPEPHI/bkbP/14vW1Rsjjfa29xIMwqKzjBIrmR4M2ri8Wh6XQ4FQRF0D4+roHVNbg3WEorkxqHEJNQatmjJKbPJ166XTQzrZHW+8cTvt2riiRvuO9kmKj4bKJhgUi8UKtjHI5bSrpa5Mp3viv7tT3SPauKLGuN0cDDL/7pc3lqup1quufp8CwYj2HekriA/su01jxM5ZWaOyJH9/UlFfnX3w9qGdJ3W8c0T/39Wr1VTjzeg5AAAAAAAA5hJKd5SYeRLBEGNfAABW4/50GoMSx6Y6emmhWQiZBoOcDrtWNVfo8OkhSdKRM0PaujH/jwsh97IKBl133XU6dOhQWo955JFHZrxt3bp12rZtWzZLKgilHqe8Hqd8gbBC4aiGfSFVlbkXe1nzxh9MvBF50nihm8uF6+r1syePSZKeP9KncCQqpyP7NiIgU6NzNAa5nA5dsLZOu17slhQPQ+RLMKihplQlbof8wYhGx0MaGAmotrJE/2dqC7rivGZtXlVrBIN2H+7R/3f1mox/Zv9wQENjQUnxD0ktdWVzPCK/rGgqN4JBJ7tHjWDQeCCsron9wGG3aVlD4v/bZrPp8nMb9fMdxyVJOw92FUQw6FnzGLENmY0Rk6QGc6X2YPpfkB0+Nah7HmmXFG8A+/AfX5TxWgAAAAAAAGZjHSWWZmPQMI1BAAArS2NQydyNQZPOEAxaENkcL1/bVmUEg9oJBmEGpCSWqDrLOLHCTvcHQuYEZFZZNYsVTeWqqYhXpfkCYbVPvCACi8U8SqwsSTBIkrZuTIQedpvCEFK8Icc8SqxxCbWV2G02yzix450j6h/2WwIdr966TOevqTPOcDrTM6bOfl/GP/PolDFidnthNauZ25ROdo0k3W6tL5NryhdDl56baEfbe6TPMjc4Hw2PBXX49KCk+LjJi9dnNkZMsjYG9WTQGPSsqbnowPEBS9gPAAAAAAAgl4LmxiDX3IdyaisTY0MGRoKKRKOz3BsAUGzMwaC5GoNa68o0ecSlq39coXBk1vsje9kcL1/bVmVsHzkzPMs9UcwIBi1RxTQP2FKNlsKs5FTZbDZdtC5xAHlPe2/OnhvIxFyNQZJ0/po6OR3xj1unukfVPZAIzoyOh4yQh8flUKU3s3FK82WlaaTVic4RPfrcGUVjMUnSOSuqtayhXB63Q+etrjXut/tQd8Y/71iHNRhUaFY2JdqiTnaNGtvHTWPEzL/zSW31ZUaLUCgczfvXvj3tvZrYjbRuWZWqspiNa2kMSjN0G4vFtOelxO8yOuUyAAAAAABALoVMjUGeFEaJuZwOY/JANBbTwEhg3tYGAMg/5lFi3jmCQR63wzjRNhqL6Wxf5id5IzWBLI6Xm4NBxztHFI4QDsZ0BIOWKMs84AKv/TS/0OVylJgUHyc2KX5wOZbT5wfSkUowqNTj1OZVieDMs4cTwQNrW1CpbLal1ZBjDqm0nxnSb/d0GJdfc8lyY9vcimRuYEnX0Y5EC9ia1sILBi1vTPw+O3rHjC+DTpgag8wtTWaXmVqDntjbYQS08tHuHI0Rk6TayhLjLIeB4UBaH47P9vksfwel7PZfAAAAAACA2ZhHiU1tjJ5JMZ1wDABITzqNQZLUVp84eZlxYvMrEo0a7/s2Se4UmgLNqsrcxmeAcCRqOY4ETCIYtETVFdEHeEtjUI6DQeeurJZnIlXZPTCu0z28cWFxRKMx+Uxp7LLSmT90bTGPEzucaNTpHjAFg6pLtdSsMgWDDp5IjFmqqyyxtHddtK5ejomxX8fOjmT0GheJRnXc9MGmEINB3hKn8UEuEo2pY+KD9wlTY9CqJI1BknTZuYn5sS+eHNTPnjg6jyudPz5/SAeO9xuXzX83MuFy2lU9MWIyJqk/jeDt3iTNSy8c68/7UW0AAAAAAGBpMo8SS/UAofm4Qm+BH1cAAKTHHAzylqQQDJqYTCDJOD6B+REImloC3Y6MigHWLWOcGGZHMGiJqi+iD/D+UOKNKNfBIJfToQvX1RmXdx7syunzA6nyBcKa7Gwp9TjlsM/88nvx+gbZJ970j5wZNmp/ewasjUFLTVON1wjimb1qS5vs9sSHGG+JS+eurDEuP/tS+q0rZ3rGFAzFPyjVVnpUncV4qaXM3Ah0smtE/mBYnROVnTabtKyxPOnjGmu8evXWZcblXz51Qk8+f3Z+FzsP9h7pUyQa/5uzsrlC9VXZ7/fm99eeNN5fnzMFgyY/k4cjUe072pf1mgAAAAAAAKayNgalGAwqokkEAID0jKfbGGQKBp2heGFe+YOJP5tMp+usbTUHg4ZmuSeKFcGgJcrSGFTgH+Ato8TSnJmYistNI3V2HuxinBgWhXWM2OwfuMpLXdq4otq4PDmuqMsUDGpYgsEgu92mFU3WoIrbadfVF7ZOu6+5+eXZQ+kHg46eTaSd17QUXlvQJPPv82TXqE52jRoBs9b6sllfM//fq9fp/DWJYOR//fpFvXhiYL6WOi9+/2KiMSvbMWKTzOGi3imjwWYy4gsaH6Rtkl61JRG62p3B/ivF2wDvf/KYXjo9mNHjAQAAAABAYQuZgkHuFL83pzEIADCT8UDieKw3hWDQMtMosdM9o/OyJsQFQubpOnP/2SSzrs0UDOogGITpCAYtUZZk/5C/oMMs5lFimaYgZ3PemjqVeuLP2zPo1/FO5ipi4VmDQa4577/VHJyZCAb1mEIMTUtwlJhkbbiRpJdtbkr6/3vx+gZNdggdPj2o4bFgWj/naEciGLS6AMeITVpubgzqHrHMhZ36u57KYbfrPW/erGUTqf5INKav3bdPZ/uWfrK/e3Bc//4/z+u5lxItPVuzHCM2qaE6/S/Inj/Sp8m34bVtVbr2olbLbaFwZIZHzuy7vzqg+588pq/es1dDo4G0Hw8AAAAAAApb0PR9gzvFxiBzU3IfwSAAgInPnzhOVZrCKLHmOq8cE9Mgeof8llYb5Jb5WHlJhiUayxrLjNGj/cMB9Rd48QjSRzBoiSovdRlNEP5gRGP+wn2xNTcGZZqCnI3LadeW9YkDyowTw2IwB4PKUggGXWzaZw+dHNSIL6juAZ9x3VJsDJLi457MXr11edL7VZW5tX5i3mksJu0xjWlKxbGO4mgMsowS6x7V8bOmYFDz7MEgKV4H+oG3XKiqMrckacwf1h33Pq8RX3pBrIXiD4b1P789ok9/+xlLKOicFdVqqSub5ZGpMzcG9aTYGLTXtH9etL5erfVlaqr1Soon+fcfS6+JKRCM6NCpQePxTx/gfQkAAAAAAFgFQ+ZRYik2BjFKDAAwg3Qbg5wOuxpNx6I6en2z3BvZyEWJhsNu1+rmxPGyI6bjaIBEMGjJstls1nFiBZzu91vq0XLfGCRJl20yjxPrVrSAG5iwNI2l2RhUU+HR2rb4G3g0FtPTB7o07Is/h9NhU21FyWwPXzQbl1cbCfJNq2q0vLF8xvtu2dhobP/+UPeM95tqPBBWR2+89cZus2lVc+EGg6rL3arwxveXQDBiCVCtSiEYJMUrpN//lguMM8u6B8f17z/dl1HLzXyJxWJ6en+n/ubbz+hXvzuhcCTxxdfLz2/We//w/Jz9rHQbg0LhqPYd6zcuX7iuXjabzTLabPfh1PdfSTreOSzz29BTL3Sm9XgAAAAAAFD4zI1BHldqh3LMxxT6h/18Dw4AMPgCieNUqQSDJKmtIXGM50wv48Tmi7VEI/Nj5WvN48TOME4MVgSDlrBiSfebX+w8GdajzeXclTVGGGNgJMCLIRacZZRYydzBIEnauiERnPnNzlPGdn1Vqex2W7KHLLr66lL91R+drzdeuVJ/dsPmWe9rDlYcPD5gqbGczfHOEU1+pdHWUDYvIwiXCpvNphWmcNV4IN4eZ5NmDV1NtbqlUre/abMxvq399JC+/+ChHK40PYOjAT1/pFe/2HFMd/50n/76P57St35xQAMjiZFaq1sq9Te3btW73rAppTBdqsxfkPWm0Bh06NSA8T7VUF2i1rp4U5B5tNmel3otYaa5HD1rTeqf6h7VyS7GXAIAAAAAgIRQBo1BJW6n8T1KOBLT0OjSbI0GACw8c2NQKqPEJGlZfaLJ/0zPWM7XhDjzmLZsgkHrCAZhFrmf24ScsRy8LOTGoBy92M3G6bBr68YG/XZPhyRp54FurV9WPS8/C0jGEgzyphZy2LKhXj9+tF2SNRzYuETHiE26YG29LlhbP+f96qpKtKq5Qsc7RxSJxrT3SJ+u2Nw85+OOdiQ+zKxpLdy2oEkrmiq0/7h1VFVznTft0YtbNjTora9cZ+xTv9vfqa0bG7TFFNBKx/BYUNsfOiSP26E3XrlKzROjtWbSP+zXz548pn1H+jQ0NvOXUpVlbr3lmrW68vxm2W25D8DVVpTIYbcpEo1p2BdSIBiZNVy296U+Y/uidQ2yTaxpVXOFaio8GhgJaMwf1qFTg9q8qjalNRxLUuH5u/2dWtGUWgsUAAAAAAAofMFwIhg02QSdirrKEuO7yL5hv2oqPDlfGwAgv8RiMfn8ieOxqTcGmYJBvQSD5kuupuusaUscMzvRNaJQOCpXGp8hUNjYE5aw+mIZJZajerS5XHZuYpzYrkPdikapUcXCGU1zlJgkNdZ4k7bCNFYv7WBQOsytK88e6pnz/uOBsJ7Ye9a4vLqlOIJBU61McYzYVK+7bLklfHXXbw5Z/jGQjp8+flS7D/foqRc69ZnvPKMfP9puNBqZhcIR/fKp4/rUt5/Wk8+fnTEU5HbZ9QeXrdCXb3+ZrrqgZV5CQZJkt9tUW5n4Qqx3lka+WCymPe2J/fKidXXG9tRxYqnsv5OmNgZJ0tP7uxSJpt46BAAAAAAACpt5lFg6B/XqiuS4AgAgdcFQ1Bgv6Xba5XSk9r5iGSXWwyix+WKdrpN5r0ul122UC4QjMZ1gUgFMCAYtYUUzSsyUgpzPkUAbl1erqswtKd50cejkwByPAHInk2CQZA3OTFrqjUHpMLfV7D3Sq/bTM1cbxmIxbX/okLonxj+VuB26cN3czUT5bkXT9HDYqgybZWw2m25+zXpVTrwWDo4G9ZPH2tN+nmAool0vdhmXI9GYfv3MSX3qW09rx76zisZiisVieu5wjz79nWf008ePKmiqv3a77FrXVqVXb1mm215/jj5326W684Ov0E2vWqfSFM9UyEZ9VeLv0GzjxE73jKlvOD7erNTj1Prl1ZbbLcG2wz3GP6xmMzgaUP/Ec7qdduPPYmgsqIPHeV8CAAAAAABx5lFiHlfq35ubjyv0Ds09Rh0AUPh8ppN60/kOvrG61AgRDY4GNeYPzfEIZMJcopHtsfK1rYwTQ3IEg5awYkn2WxqDskhBzsVut+mScxqNy88c7J63nwVMNWYKBpWlEwxKMuapkIJBLXVlWjsxDiwciWnb/zxvBH+m2rGvU08fSIRRbv2DjUbYr5A11XjldlnfrjNtDJLiwbS3v3aDcfmxPR1pByX3tPca84jNxT5DY0F991cH9aXtu/XVe/bo33+6Tz2DifevZQ1l+sj/u0hf/9A1+tQtW/X26zbo6gtataKpIuUzFHKhoTq1UZ172nuN7fPX1E5b4/pl1aqYGA04NBbU0TPTm4CmMo8RW9lcoZdtSrTZPfVC59yLBwAAAAAARcE8SiydxiDLJIKJk5MAAMUt02CQ3W5Ta53XuHymh3Fi88HcGFSaZTBonWmcGMEgmBEMWsLMH+ALOdkfWKBRYpJ02bmJYNDuQ90KRxjbgoVhaQwqST0Y1FpfpqZar+W6xhrvDPfOT3/2ps1Gi9LoeEh33Lt3Wur8bN+Y7vrfQ8blqy5o0cs2NasY2O22aSPlko0XS8clGxt08fpE29L3f31IIVM99VzMAZY3v3y1br9hk2Ve/dGOYe03td+UlTj1J9dt0N/edqk2r6qV3T4/Y8JSZW4M6pmlMWjPS4lg0EVJ2qnsdpvl97j78NyBU/MYsTWtlbryvMR+/OzhnqTj2AAAAAAAQPExf1fjZpQYACAL4/7E987ekvRKGtoayoztM70Eg+aDP5j488m6Magt0RjUfmZIsRQmHaA4EAxawirL3HI64gdPx/xhy4tCIcllPdpc1rZVqbYyfvB6zB/WAca2YIFkOkrMZrNZWoNsNmtosBA0Vpfq/X90gdHGcrbPp6/f94IR3AuGIvqPn+03RlG11Hn19tdsmPH5CtGKxkQQqKmmNOtxWzabTX9y3UaVeuKvuV39Pv3iqeMpPXZoNKAXjvYbl684r1kv29ysL/7Z5XrDFSuN9634z5FeuaVNX/7zK/SqLcvksC+Njx3W4G3yL8iGRgM6NhHisdtsOn9tXdL7bd1oDpz2zPkh+2iHORhUpRVNFVo2Mac5GI7q94doswMAAAAAAFLANErMleEosb5hgkEAgMwbg6T4CeyTOvt8OVsTEvyh3JVotDWUGcfbB0eD6qc9EBOWxhE6JGW32VRbWfjp/kBo4YJBdptNl52TGNuy82DXLPcGciMWi2l0PPGhK51gkCRt3ZgIBjWY5rkWknXLqvSuN5xrXD54YkD//dAhxWIxfe8X+3W6Z1SS5HTY9Z43nzfvrxVLzSrT6LDVLZWz3DN1NRUeveXadcblB58+qVPdo3M+7pkDXYpOhF82LKtSQ3W8fafE7dQfXbNWX3j35brqghZdvqlJn7vtMt1y3ca09/n5Vl+daAzqnaExaO+RPmN7w/Iqlc3Q9HXuyhojYNU75NfJrpl/h9FozAgbSdKaiT9Lc2vQ7xgnBgAAAAAAlHljUH21dRIBTQEAAF8gcfK6N81gkLmJrp/A6bwwT9fxuLI7MdxhtxvHHiTpSAfjxBBXeEeXC0wqrQb5ztyEVJLGmQ+ZutQ0Tuy5l3rSGp8DZCIYihrtN06HXW5Xei+9q5or9JpLlqmuskQ3vmLNfCxxSbh8U5P+8OrVxuUnnz+rL//XLv1yxzHjuv/36nXTxmoVg8s3NWnzqhq11pfp9VeszNnzXnNRqzYsi9dKRqIxfe+Bg4pGZ/+yyDxG7MrzW6bd3ljj1Z++/lz9+Zs2L9k/qwbTe2vPDO+t5jFiFyYZIzbJ6bBbbt99uGfG+57t9xkteZVlbqPB7mWbm2SbKFp68eSguvs56wIAAAAAgGIXDCcag9xpfG/u9TiNtoFgKGppMgcAFKfxQOJYaLqNQfWViRNtaaKbH+bpOtk2BknS2rZEMKj9DMEgxBEMWuIKvfYzHIkqHIkfhLbbbHKlceZDplY1V6hxoi1iPBDRPtNIHGA+WMeIOWWz2Wa593Q2m01ve80G/dN7r9Rl5zbN/YA89sYrV+nl5vaUfWeN7S0bGvTKi9sWY1mLzu1y6CP/72J94d2XG2OncsFus+kd159jjP863jmi//v9qRnvf6p7VCe7E+1Nl5jGaOWTyjK3cabdeCAsn9/6BVkwFNGB44n3hotmCQZJsoz7+/2L3TOeiXfUlMxf01JpvBZUl3u0eXWtcdujz878ZwAAAAAAAIpDMJRZY5DNZrO0OxTicQUAQHrGTaPEvCXpBYMmT3CVeE+ZLzkPBrVWGdtHzgzPck8UE4JBS5zlA3yKjUGRaFRnesc0MLL0ZwZOHSOWbmAiEzabTZdtShzMZpwY5ps1GLS0RiotNbaJoMo5K6ot19dVenTb689ZkNeIYtNSV6YbXp5oavrp40fV0TuW9L7mMVdbNtSn/Q+IpWLqF2Q9g9b312cP9xhn5bXUedVU6531+c5bUyfPxJl7nf0+He8cSXq/Yx2mMWKt1pFw5nFij/7+FDXfAAAAAAAUuZCpMSjdE2rrTScc9w5yEBcAip3PnwgGpdsYVF3ukcMePzYz4gtZju0iN8zTdTw5aQxKBINOdo0wPQeSCAYteXONEgtHojrROaLH93Zo+0OH9IX//r3e+9XH9ZnvPKOPfm2Hnj/SO+0xS4k/kNsEZKouOyfRurKnvdeSlAVybdRPMCgdTodd7/3D840wht1u0+1v2qyyEn538+X6y1doWUOZpHhN9Tfu3z/tg2I0GtPvDpjGiJmCLPmooTpRf9o7NG5s+/wh3fNIu3F5i6kNaCYel0OXbEzczzxuzeyoKRi0ekow6OL1Dcb74JmeMb10anDOnwsAAAAAAApXpqPEJNEYBACwsDQGpRkMstttqqlItAb1876Sc+awVUma7/nJlJe6jGNskWhsxpOZUVwIBi1xM40SC0ei+vUzJ/XBbU/q776/S99/8EU9+twZHe0YNs4kiEl64HcnFnrJafGHFicY1NZQptb6iYPgoaie2NuxYD8bxWfM1BhURjAoJeWlLn3yT7boHW/YpC/9xcu1fln1Yi+poDkddt1+w2Y5HfGPBad7Ri3hGEk6cKJfQ6NBSVKl12UZfZWPZmoM+vGj7Roai/9/VpW5df3lK1J6PnNQ6pkDXQpHopbbA6GITvfEm5hsklY3W4NBHpdDl5yTaLN7ZJaRbgAAAAAAoLBFY7GsGoMymUQAAChcviyCQdLMx6uRGwHzKLEM/nySWdeWOAbBODFIBIOWvGQf4Pcd7dNnv7tTP3603fJCnszh00NLOrlpfqHz5CABmSqbzaZXb11mXH5o16lpB3GBXGGUWGYqvW695VXrtXlN3WIvpSgsayzXza9eZ1x+5Nkz2n2ox7hsbsF52eZmOez5/RGioWp6Y9DBEwN6fO9Z4/o/uW6DvCk2VW1cWWOcNTE6HtK+o32W2090jig6MR6suc6bdAzblZsT4aLHnzvN+xIAAAAAAEXKHApyOuyy22xpPd58ADfZJAIAQHExNwaVJvluei61pveV/uFATtaEuFgsJv88HC83jxNrPzOUk+dEfsvvo3pFoKbCY3zoHxoL6t/u3at//fFedfb7jPtUl7t1ycYG/dE1a/Thmy7Uv/3VVdq0qsa4fdeL3Qu+7lQFTDMTF7IxSJKuOr9ZlWVuSdLASEBP7+9a0J+P4kEwCPni2ovbtNU0Ouv7Dx5U35Bf44GwnjWFhPJ9jJg0fVRnMBTRf/36ReO6rRsatHVjY7KHJmW32XSFKdgzdZyYeYzYmiljxCZtWFGtusp4uGjEF9JhxokBAAAAAFCUzMEgd5ptQZJUbzkhimAQABQ7nz/LxqAqAqfzJRyJKRKNn1TssNvSbgmcybpWazAoNnHiMooXwaAlzmG3W+Y2Pn8k0UBQ6nHoj1+1Tl/5iyv13j88X2+4YpXOW1OnyjK3Lju3ybjfzoNLNxg0HwnIVLmcDr32kkRr0IPPnDDaHIBcMgeDylJsHwEWg81m0ztff44RThnzh/XNX+zXrhe7jbn2yxrKtLyxfDGXmRMN1YkvyHoGx3X/jmPqHog3B5V6nHrbazek/ZxXmAJTe9t7LX/3j541BYNakgeD7DabNq1KjGibHD0GFLpoLKbfv9itI5y5AgAAAACSpGAo8b2525X+YZzGGuv3HhwMBIDiNp7lKDHzibZLeVJNPvLPU4lGa32Z8Wc9PBZU18TxDxQvgkF5wJzClCSbpKsuaNGXbr9Cr7tshZyO6X+MWzY0yGGPNw0dOzus7sGl+ZfdH8r9zMR0vPLiNuNF9myfT3tf6l3wNaDwjdEYhDxSVuLSn7/pPKOtrv30kH7wv4eN2684r1m2NOurl6L66sR7a/fAuB565pRx+aZXrrWEclPVVl+mVc0VkuIpf3Nj3zFLY1DVtMcaz9GQCF119I6mvQYgHz349Al9/Wcv6Mt3PauDJwYWezkAAAAAsOisjUHpHyQsK3EaBwMDoYiGxoI5WxsAIP/4zKPEMjgeW1uZ+L68j8agnAqYSzRyGAyy223asLzauHzoJN+7FjuCQXlg/bLEAcS1rZX69Dsu0Z++/lxVTYzBSqa81KXNqxOtA7sOLs0xWYFFbAySJG+JS9de3GZcfuDpE5w9gZwbHU984CIYhHywblmV/r+rVxuXJ9uCbDbpZZvyf4yYFA9ATf4DKBKNGY1x56yo1isubM34ec1j1n43MU5saCyovomzKFxOu9oaymZ8vPm2MzQGoQjEYjH9dk+HpHhz0E8eO8JnMQAAAABFL2A6odaVQWOQzWZTU22iNair35eTdQEA8pM5GOQtyWCUWGXiRNs+GoNyylKi4c5tiYY5GHT41GBOnxv5h2BQHnjjlat06+s26v1/dIE+ectWrZ5hBMlUl53baGwv1XFiI6YmlVzWo6XjtZcsl9MRb7840jHMCyNybpTGIOSh179spc5dWWO5btOq2oyadJaqhimNfE6HXe/4g3OyakS6bFOT0djXfmZIXQM+He1IjEda2VyRtOlv0rL6RDDodO8YAQkUvJNdo5a55MfODmtve98sjwAAAACAwmdtDMrsME5jjdfY7mZ8CAAUrUg0ahQ12JRZK02tKRg0MBJQNMr31rnin8cSjY0rqo3tQ6cGOd5Q5AgG5QGPy6FrL27TRevrjdEuqbh4fYNx8PFU96jO9qXXPODzh3TPIy/pM999Ro8+dyatx6bihWN9+uVTx43L1eWLc7C5psJjaXh48JmTi7IOFC7zKLGy0oUfmQdkwm636c9u2KQKbyLMZn6tLARTR3W++apVaqr1znDv1FR63Tp/TZ1x+XcvdOqoeYzYHOHeyjK3KrzxRsBAMMLZFyh4uw9PD6//7ImjRosXAAAAABSjYJajxCSpqcbUGEQwCEjqwPF+ff6/dulnTxxd7KUA82Y8kAielHqcaR1rnuRxOYxjBZFoTIOjgZytr9iZp+vkukRjRVO5EQTrHw5YTtBE8SEYVMBKPU5duDZxcDLV1qBoNKbH93bok996Wg/tPKUzPWO6+zeHdaZnNGdr29veq20/ed4486G63K0rz1+8A85/cPlKTb4NPn+kT6e6c/f/mqoRX1D/u+uUvv2L/bQWFRgag5Cvqss9ev8fXaDVLRW6+oIWXX5u02IvKacaTV+QrWgs1+suW5GT5zUHqJ6aGgxqnT0YZLPZtKK5wrjMODEUut2HeqZdd7J7VM8muR4AAAAAikUonN0oMcn6vUf3AKPEgGTufeyIjp0d0c93HFcnI/dQoMxjxEo9mZ+8bm4N6h8mGJQr/nkMBjnsdq1vqzIuc/y5uBEMKnCXWsaJdc1ZEdZ+ekif/+/f6/sPvqgRXyLMEI3F9KNH2nNSMfbs4R7d+dN9Ckfiz1VX6dEn3r5FlRMNCYuhudarLRsbjMsPPnNiQX5uNBbT/uP9+sb9L+gjX9uhHz78kn63v0tfv2+fwpHo3E+AJS8SjRofumySykoIBiG/rG2r0mfecalue/25stszH7G1FF15XovKS12q8Lr0rjdumnXEVzouXFcv78Q/sHqH/HrxxIBx21yNQVJ83Nikjl6CQShcHb1jOtsX/9LN7bLr1VuWGbf97MljVBIDAAAAKFrBUC4agxKtyDQGAdPFYjHLpI2TXSOLuBpg/oz7cxMMqjcFg3qHeV/JFX8w8eeTyZi3uWxYXm1sHzo5mPPnR/5gpk2Bu3BtvTwuhwKhiM72+XS6Z0zLG8un3W9gJKCfPNau3+3vslxfU+HR4GhAsZi0/1i/9h3t0wVr6zNez64Xu/Wtn+9XZOJAT31ViT5288Wqry6d45Hz7/UvW2mctb7zQLduvHqNZV1j/pBOd4+qssytlrqyjH9OJBrV2V6fnnupR088fzZpbduwL6Tnj/Rpy4aGJM+AfDI2nnhD95Y4Cy5YAeSz5Y3l+pe/fLkcdltO/266nHZdtqlJj02M4ZyMNlR6XdPGlyWz0hQeOk1jEArYs4cTrUDnr6nTm65apSdfOKtAMKKO3jHtPNill20urBGGAAAAAJCKoKkxyO3MRWPQuGKxmGwZjI8BCtXIeMgSwuMEPRQqc2OQtyTzaID5u20ag3InEDI3BuU+urFxRbWxTWNQcSMYVOA8bocuWl+vZw7EAz87D3ZNCwad6h7VP//oOUtDkMtp1/WXr9D1L1upHz38kn67p0OS9KOH27VpVW1GrQq/29+p7/zygCZLh5pqSvXXN19sqZ5bTKtbKnXuyhodPDGgaCymex5t18qmCp3oGtGJzhEjwGOT9OarVuuNL1815xzOcCSqU92jOtE1opOdIzrRNarTPaPGCLWpKrwu48/hdy90EgwqAIwRA5Y2V4Zfrs3lyvOajWDQpNUtlSl9AbeyOREMOtO7cKMtY7GY/MFIVmeNAOnYbQoGbd3QoAqvW9ddsly/eOq4JOn+J4/p0nMb5bAvrZLTQCgil9Oe0Tx2AAAAAEhF0PT9sTvDUWLlpS55PU75AmEFQhENjQVVXe7J1RKBvNc35aRtgkEoVOPmYFCORolN/fuDzFlGibly3xi0uqVSLqddoXBU3YPjGhgJqKaCzwPFiCM/ReCycxqNYNAzB7p04yvWGAcmT3SO6J9/9JzGTDVyWzc26I9fuc5oy/nDq9fomQNd8gcj6uz36dHnzui1lyxPaw0HjvfrO784YLQmtNR59dc3X7zk/iHy+pet1MGJkS+7D/UYDUJmMcXHWxw9O6w/u2FT0tFQ0VhMv3uhU//z2yMaHA3O+jPLSpy64rxmveKCVjkcNv3Nt5+RJO1p79XoeIgwSZ4jGAQUp7WtlWqsKVW3qap7TevcY8QkaYVllJhP0Whs3tvGxv9/9u46vJHzXBv4LbBkZmZmWGbObpg5adOkSZtC2pS+8jllPG3T9pymlDZpkoYazibZbDYLWeZdr9drWDPLDLIsnu8P2aPRmiRbMt6/68oVS5bkWXukmXnf570fgxl/eesiLtZ2IzHSHxuLYrEmL4rtD8ljOnuHUN9mi+hWyGViIuU1qxKw90wTdAYzND1DOHqxDRsLY2dzUx2cLm/H33eWIirEF9+6fykCZrEVLhERERERLVwmSYqJ1xRbiclkMkSG+KBu+NqrvWdozo3HE82mK7s5tAy3OydaaKSFQdNZFBomLQzqZ2GQuzgUBnmglZhSIUdabCDKh9uIVTT2YE0uU9oXo7m1/JY8Ij81TPyg7+zTixcC1S19+J+X7EVBPmolvn5PER67rcChhVagnwo3rU8Wb79zuNah2MEZ+842i0VBcRF++Nb9y+bkRUhucggSo0a3WgNsk1bSCsoL1V348TOnxEmtEbWt/fjl82fwz/fKxi0KCgtUY1lmBD53cx6e+NJ63L89E/GR/ogJ80PKcAsZi1XAqTLNmM+n+WNQ8l7xY2EQ0aIhk8mw7ooWSKmxQU49N8BXhdBA2/HGbLFV8XuSTm/C7145j4u13QCAhnYtXthTia//6Qj+vrNUTNIjcidpG7Hc5FAxxtjX2wvXrLIXoL9zuA5my9hJi7Nh39kmmC0CmjsH8fLey7O9OUREREREtEC5o5UYAESF+opfa7pZ9EAk1dnnOOam6dbNqTEIInfR6d2TGBQWZJ8jZWGQ+xgkhUFqDxQGAUBWYoj4deVwgRAtPkwMWgS8lHIsywzHkZI2ALbUILPFit//p1isQvTzVuLr9ywRi1KutH15Ag6ca0ZHrx6DejPePlyLT+zIdHob6tr6xa8/e2Mugvzm5upqmUyGz9yYi+c+qIAgCEiMDkBSlO2/uAg/yGTAGwdrsOt4AwBbodUv/n0GD1ydhYK0MLz+cTWOXGiFdPo0wNcLOUkhSBx+ncQo/wlXl6/Lj0Ztq+33dfRiG7Yui/fkP5k8jIlBRIvXmvxovHW4FoCtDWVKTMDET5BIjA5Ed7+tcKK5YxDRkoE8d9IO2YqCrixyBQCT2YrjpRocL9UgMtgHd25Jw4rsSI9sBy0+Dm3Eshxbp25fkYA9p5ugHTKhq1+PQxdasXVp3Exv4pikhXrHSjVYkxeNgtSwWdwiIiIiIiJaiIwOiUFTLwyKlCwA9vTCI6L55srEIItVgKZnCHHhfrO0RUSe4ZAY5O2mxKA+PQRBEDvU0NTpjfa/j6cKgzITgsWvKxp7PfIzaO5jYtAisSonSvz66MU2PPGKvSjI38cL37xv6bhFQYDt4uPurRni7f1nm53ut9o3aER3vwGAbXVDXMTcPqmKj/DH9x5Yju9/agUeuDoLm4pikRQdAKVCDoVcjru2pOOx2/LFODeT2Yqn3y/Dt/5yFIclRUFKhQzXr0nCrz63Fp+/JR/Xr0lCXkropC0nVuVEQjHcMqa6pR9tXMkxr2n1LAwiWqwig31w9coEKOQyXL0qAb4utOVKirYfk5s7tZ7YPPTrjPifF885FAXduy0dD1ydiaQoxyKm9t4h/OO9Sw6rF4imqqdfj6qmPgCATAYsyQh3+L6PWonr1iSKt989WgeTefb3PbPFip7hc9oRz31Q4XDxTkRERERE5A4ms70wSO019UnCqFB7YRATg4gcdfWNTjxpdXLei2g+0Rnckxjk7+MlptjpjRaHgiOaOoPJs63EACAtNlCce27t0qF/cOyON7SwsTBokchJChGLErRDJvFDJtBPhW/dvxSJUZOnGCzLDEd2YjAAwCoIeGVflVM/eyT9BgASowKgkM//3W55ViT++8EVDpXj0ou1orQw/PSR1bhzS5rL/ToDfFUoTLOvPD96sW36G+wETY/O4W9F7qFlKzGiRe3eqzLwl29sxj3bMiZ/sERStP243Nwx8YBEU4cW1c19LrX76tMa8D8vnkNTh63oSAbgoeuycfWqRGxdFo8ffnolfvjQSmxdFide7BlNVjRzcITc4Hhpm1hInZUQjMAxiqa3LYtH4HDCZM+AAR+fb5nBLRxbV58eV77Luvr1ePNg7axsDxERERERLVzSVmLTSgwKsScQt/cwMYhI6srEIAAc+6IFyaEwaBqJQTKZDGFB9tSgsd5D5Dq9ZDGut5dnmj2pvBRIibUvRq5katCiNP8rNMgpSoUcK65o0xDkr8K371+K+Ah/p15DJpPh3qsyMBIKV1LThQvVXZM+r05SbJLsQhuVuS4mzA/f/9RyrMqxt1WJCvXFV+8qwlfuKnLo3+yqdfkx4tfHLra5NNk7FZWNvfjvf5zET589jTcOVnv0Zy02g2wlRrToKRWun24lxUgTg8YfkCiv78EP/nkSP3/+DL7z12N450gtuifp79wzYMCvXjwnJv/JZMAjN+ZgU1Gs4zZEB+CBq7NQlG5PcxkpJCKajmMX7EU+yzIjxnyM2kuBG9Ymibd3n2yE2WId87EzpUMSuy9dsfvR6UZUt/TNxiYREREREdECJW0lpppOYlCIJDGoZwiCh8eZieYLQRDQ2Te6WM7ZThlE88mQXtJKbBqJQYBjO7HuK5K1aWocCoM8lBgE2BZojmA7scXJM2VnNCetzY/GgeHV1qGBanzzvqWICnGteCUxKgAbi2JwsLgVAPDKvsvITw2FfIIeknWSFiUp0eO3K5uPvFVKfO7mPKzLj4HeaMayzIgpTQBfqTAtDH7eSgzqzejq1+NyYy+yEkPcsMWjGU0WPPN+mTjZ9u7RekQE+WDjFRPENDXaIfsJFwuDiMhZCZIkP023DiazdcwVgockBRadfXq8dagWbx+uRX5KGDYVxSArMQQtnYOobxtAvcb2X2unTiw4lctk+OxNuVidGzXqtUfER/jhVLntaxYG0XRpdUZcqOoUb49XGAQAm4pisfNIHbRDJnT163GqrB1r86NnYjPHJC0MWpEdgV6tEaW13RAA/GtXOX740Eq3nAcSERERERG5KzHI38cLPmolhgxmGEwW9A8aEeSvdscmEs1rA0MmhwK8ES1dLAyihcddrcQAIFRSGNQ1yQJVco5BUhik9mRhUGIw3jtWDwCoaOj12M+huYuFQYtIRnwwHrkhB00dWuxYkeDw4e2K2zal4WRZO/RGC1q7dGjQDCB5nIIfQRAWbGLQCJlM5tD6yx28lHKsyo3C/rPNAGztxDxVGLTzaB00V8TIPre7AmFB3shNDvXIz/QEo8mCv71TCk3PED5zY864++RMk7YS859GRCMRLS4+aiXCg7zR2aeHxSpA061DfKRjwp/Fah0zuU8QbKl+JTUTp/op5DJ87uY8rMiOnPBx0mTBpnYWBtH0nLzUBovVVpiWEhM44fmo2kuB7Svi8dYhW6uuXSfqsSYvCrJxCtJNZiue312Bes0APnVNFtLigty67R2SeOTIYB/cvD4F//3PE7Y2ex2D2HW8HjetT3HrzyQiIiIiosXJZJYkBimnPkkok8kQFeIjLt7V9AyxMIgItnbhI0bG4ACgrUsHs8XKhT+0oEgLg6adGBTEwiB30xvtfx9PJgalxQZBLpPBKgho7tBCO2RioMEiwyPbIrO+IAb3bMuYclEQAAT5qbBE0lakvL533Md29xvQr7MVRvioFdNqr7XYrJOsiD9V3g6jyTLBo6emQTOAXccbxNsjBwCLVcCTb16cV7GZB8634NzlTrR0DuKdw3WzvTkiaSsxPx5gicgFceF+4tdjtROraurD4HAMbEiAGp+7OQ+5yZMXkcpgK/b5yp2FkxYFAXAoSGrqGGTsuBN0ejMqGnrw4alGPLXzEv7v9QuobmarKQA4eqFV/Hp51vhpQSO2LYsX23Y1dQxOWPD23rE6HC5pRWO7Fq/sr5r+xl5BmhgUHuyDiGAf3L4xVbxv59E6tHJlIRERERERuYFRWhjkNb1pnEiHdmK6ab0W0UIhvcaPj/BHSICtYM5iFRy+R7QQDEkTg6a5gD0s0F5cKi2wo6nTm6StxDwXMOCjViIp2hbgIQC43NTrsZ9FcxPjK2hKspNCcPySBgBQVt+Da1cnjvm4WklaUFJUwIQtx8hRakwgokJ8oOkZgt5owbnLnRO2enGVxWrFM7vKxXYymQnBePSmXPzsudPo1RoxZDDjD68W478+tQKBfiq3/VxPsAoC9p1pEm9XNfdBEIRxEwVmkkNiEAuDiMgFcRH+KB5OBGru1AJwPAYUV9kLJIrSw7E6Nwqrc6PQ3juEwxdacfRiK/q0RsSE+SEp2h9JUQFIig5AQqS/SxcYYUHeUKsUMBgt0A6ZGDs+jmOlbTh/uRP1mgG094weQLpQ3YV7r8rAtmVxc+L4NBv0RjPOVbSLt5dP0EZshL+PFzYvicWHpxoBAO8fq0dhWvioxzV3aMUoXACoa+0ftwXfVEkHBiOCbQPr21ck4ESZBrWtAzBbBDzzfjm+fEcBAnzn9rkTERERERHNbdJFoqppXtdEhdgX6451vUq0GF2ZGGS2WNEzYAAANHcMIibMb7ynEs07Or0bE4PYSszt9NJWYl6eSwwCgKyEYHHuvrKxF0szJh+fpYXDI4lBb7zxBrKysnD69Gmnn2M2m1FQUICsrKwx/9u0aZMnNpWmKCfJnkhQ2dgLs2V0L1YAYkQpYGsXQc6TyWQOqUFHL7a59fX3nGpC/fDfR6mQ48FrsxAa6I2v3FkkHng6+/T4vzcuwGR2f1qRO5VUd6FdMlmnHTKNao82GwRBYGEQEU1ZXIQkMahjdArJuapO8esl6faWlpHBPrh9Uyp++8X1+Ns3t+Anj6zCIzfkYvuKBGTEB7u86kAukyFekl7U2OH+dmItnYOoHi7qnI9Ol7fjqZ2XcKq8fdxBVotVwAt7KvHUzksOfaMXk4s13eKq1/gIP6eTJK9emQCF3FZMVdnUh6omx/Qlq1XAv3aViy3KAMBsEVCvGYA7dfbaBztGCoPkchkeui5H3L6q5j58/U9H8Oe3LuJibZdYgE1EREREROQKaWKQ1zRaiQFXJgbN/pgp0VzQeUVhUKxk7KuFacC0gAiC4JgYpJ7eMYWFQe5lFQQYpYVBKs82e8pMDBa/rmjo9ejPornH7YlB586dw09/+lOXn1dVVQWj0YjExEQUFRWN+n5wcLAbto7cJSLYB2GB3ujq18NgsqCubQDpcUGjHidNDEpmYZDL1uZF481DtQCAi7Vd6NMa3JLS0NY1iLcO1Yi3b16fLFbAJ0UH4HM35+H/3rgAQQCqm/vxz/fK8OjNeXM28WmvJC1oRHVzH6JnuXWd3mgRJylVSjlUHq70JaKFxaGV2BWFQW3dOmi6bfHfKi+5Q8GulLs+t+Mj/VHdYjumN7UPIj8lbJJnOMditeKNj2uw64StreWjN+ViTV70JM+aW4wmC17Z59i2SiGXITbcD0lRAUiI8sexi21isfTxSxo0dmjxpdsK5lyLVbPFCpPZOu2VQ+M5WW5PC1rmRFrQiNBAb6zJi8KREluR9PvH6/H4nYXi9/edbRL3T6nq5r4xz0+nYlBvEvuxq7zkCPS1F/smRPrjxnXJePuw7ZzNYhVwurwdp8vbERbojY2FMdhQGDOtVr5ERERERLS4mNzYSkx67dnezVZiRMAVhUHBPvCWjIW0dLIwiBYOo9kqzlMpFfJpF5sGB6ghkwGCAPRpjW5P7F5sTCYrRpYVqpRyKOQeLgyKD4IMtlZi9ZoBDBnMHhsLprnHrX/p3bt347vf/S50OtdPLsvKygAAt99+O77whS+4c7PIQ3KSQnC4pBWArZ3YlRMvgiA4JgYN9y0k54UH+yArIRgVjb0QBNtk4jWrxm7b5ixBEPDkq8WSFfv+o1rBLckIx73bMvDS3ssAgJNl7VB5KfDA1ZnTPmlwt9auQVys7R51f3VzH9YXxMzCFtkNStKC/JgWREQuignzFS+yOnqHYDBZxES385ftaUF5yaEe/2yOj/AXv252U2JQ/6ARf337IsolKxNOXNLMu8KgD081iqtj/H288JW7CpEY6e/wN9myJBYv7LmMg8UtAGyFXj959hQeuSHXpQIZTxrQGfHLf59FW7cOaXGB2FQYi5U5kW7ra93ZO4SzFR3i7RVZkS49/7rVSWJh0PmqTjR3DiIu3A9dfXq8/rG92DkmzBetXbZrkermvjFfayoc2ogF+YxqB3fz+mREBHtj39lm1EiKlLr69XjrcC12Hq3DXVvTsWNF/KJtJUdERERERM5zZysxh8Sg3iEIgsDrElr0Ovvs1/nhQd4I9LO3BGdhEC0kDmlB3tMf51Mq5AgJUKO739Z6r2dAj8iQubX4cT7RG+1/H7XK8/Ovvt5eSIj0R0O7FoJgSz8vSHXPImCa+9xSdtbW1oZvfetbePzxx2G1WhEeHu7ya1y6dAkAkJeX545NohkgTScor+8Z9f32niHxgOPv44WwIK6SngppO7GPTjfixCXNtFp77T3ViPOXbRNzMhnw6euzoVSM/ijYviIe25bFibcPX2jFL/591uGEeS7Yd6ZZ/DokwJ6mVNU8Ojlgpmn1bCNGRFPnpVQgaviiSoCtEHLEeYc2Yq6fd7kqPsK9rcSqmvvw43+dcigKAoCa1v551U6sV2vAe8fqxdu3bUpFWmzQqEItL6UCD12XjU9fZz/mDhks+NMbJdh/rhlzwf5zzWjrHimo6cczu8rxtT8dwb92lbmlzdvuU41iW63C9HDER/pP8gxHseF+WJph39c/OF4PQRDw/IcVMAwPmMeG++GRG3LFx4yVIjRVY7URk7K1gI3Bf31qBX7yyCrsWJEAP8lgi8Uq4OW9l/G3d0odLviJiIiIiIjG4s5WYgE+XmIagMFoQf+gcVqvRzTfCYKAritbiYXZCxvaunWwWK1jPZVo3tHp7eNQ7kqGkaZiS99L5Dq9pBDYewYKgwC2E1vM3PIJ8Ic//AFvv/028vPz8Ytf/AI/+9nP0NnZOfkTJUYSg/Lz892xSTQDsiWFQVXNfTCZLQ4XKY5txAK4CmGKVmRH4t97KmEyW9HVb8Df3imFn7cSa/OjsakwVpxYs1oFaHp0qG8bQL1mAA0arThRJiWdWN6xIgEp47R4k8lkuG97BoYMZhwr1QAA6tsG8ONnTuFzt+S5pY3MkMGMk2UanLvcicSoANy2McWl/WTIYMbhi63i7U/uyMSf3iyBIADNndpZj8DTDrEwiIimJy7CTyzWaO4YRHJ0ILRDJlQ12ZJQZLAVWXh+O+xFHC2dtsGRqcSaCoKAfWeb8fLey2KErQyAXC6DxSpgQGdCZ59+zMILZ177cEkrzlZ0YOuyOBSmef738sbHNeKxNi7CD5uKJk6q21gUi8SoADz5ZokYWf3agWpsLIwZs0h3plgFAYeKW0fdbzBacLC4FQeLWxEX4YcHr82eUmuufp0Rh4bTkgDgjm0ZU9rO69Yk4dxwWtbxSxrEhvvhQnUXANt+9NB12UiK9odapYDBaEHPgAHd/Xq3tPCSJgaFB0/8evER/rhvewbu3JKGc5c78P7xejRobAV1J8va0diuxZduLxDbuBIREREREV1JujB0uq3EZDIZIkN8UD+c7q/pGUKQv3qSZxEtXAM6k1h856NWwtfbNnYfEqBGz4ABZouA9p4hXrfTguCQGKR2T+FJeKA3qmAbn+4aTg6iqdEb7Md7tdfMzGdmJQTjo9NNAIDKxt4Z+Zk0N7hlD0tNTcWvf/1r3HzzzZBPcZKorKwMERER2Lt3L1555RVUV1dDrVZj3bp1+NKXvoTU1FR3bCq5UUiAGlGhvtB062AyW1Hd3O9QLOTYRmzs4hOanI9aiVs3puC1A9UYWaw/qDfjo9NN+Oh0E5KjA6BUytE4TiHQeMKDvHHbxonfVwq5HJ+5MRcpMYF4ZV8VLFYBg3ozfv9KMW7dmIIb1iVD7mLBlyAIqG7ux8HiFpws18Bosp2AX6juQkZ8kEuRdYdLWmEwDk/IhvthSUY44sL90dRhi8Crae1HXnKoS9vnTlq2EiOiaYoL98OZ4fZLzR22ws6Smi4xeSU1NhBBkqhjT/H38ZIMjlinNDhitljxzPtlYrEpAPh5K/HozXnYfbIBl+ps6YO1rf0uFwYZjBY8+0E5jl+yvXZVcx9+/+UNHi22qWvrx5ESezHNvdsynCqWSooOwA8eWokfPn0SPQMGDBnMqG7uQ1ZiyKTP9ZRLtd1iOzQ/byVuWJuMQxdaxJZcgG3/++d7ZfjFZ1e7XOy970yTOOCWGheEpZkR6Ox0PXkqPS4ImQnBqGzshcUq4NUD1eL3ti2LF4uWUmMCUTacZlnV3IdVbi4Mighybv/0UsqxKicKSzMi8NLeyzgwnA7V2qXDT549jUeuz8GKbNdaqhERERER0eIwMmYKACo3tA+PcigM0iEzIXjar0k0X3VekRY0IjbMFz0DtiKHlk4dC4NoQXAsDPJAYlA/E4OmwzALiUEZknOA2tb+WQ9ZoJnjlr/yo48+Oq3nNzY2QqvVQqvV4gc/+AGWLVuG1atXo6ysDO+99x4OHDiAp556CsuXL3fH5o6iUikRERHgkdde6JZlRWLXsToAQH3nIDauSBS/1yTpw1qUFcnf8TR86sZ8XLc+DXtPN2DPyQa0d9sn6qQFWM5SKuT4+v3LER8X7NTj77suF0uyo/Gr506hu18PAcCbh2rR1KXD1+9f7lQajt5oxgfH6vDhiXo0asaeDDxf3YVtq5Od2iarVcCB8/b0gVu2pCMyMhD56eFoGm5z09arx5ZZ3O9kig7x64gQX74HpoG/O1qMIiICkJsWgXeO1AEA2vv1iIgIQFlDufiYdUVxM/b+SIkLQk95OwCgT29BoYs/993DNQ5FQWnxQfjOp1YiOswPzd1DYmFQa4/epX9TS4cWv3rxrDjACdgKaHuGzMh1Q7rdWARBwO/+U4yR5lqrcqOxZVWS08+PALA6PwYfDJ9DVbdpsWF54oTP8aTj75eJX1+1KhEP3JiHT96Qi/K6Huw5WY/9Z5pgtlih6dZB029EgQspVUMGM/adtbdLu3NrBmQy2ZT32/uuycaP/3Hc4b7wYB88ekehuMKvICNCLAxq6R5yy3ukV2cv9k1PCnX5Nb/xyRVYkhWJP79WDKPZCoPRgj+/dRG3bUnHg9fnQDGLiVE0c3g+QwsZ929ajLjf02LE/X5mWCxWe8quDIiJDpx2Gn9KXDBOltmu6bUGC/+WY+DvZPEob7Z3u4iN8Bf/9mmJISgdHp/q05sWxT6xGP6Ni52yyb6/Bwf6uOVvnixJFNcZ5+4xZa5ul1R9p32+N9BfPSPbHAEgNTYINS19sFgFNHYNYX1RrMd/Ls2+OVH+denSJQBAVFQU/va3vyEnJwcAYDab8bvf/Q5PP/00vva1r2HPnj1QqxlxOZcUZoSLhUEXLncC19rut1gFVDf3iY9L5wqEaYsI8cG9O7Jw91WZuFDVgQ9PNOBYSSvMFvvqkdBANVLjgpEWH4S0uCCEjLNCPirUFyEBrq2ez0kJxR++vhn/8/xpXBxu23HqkgZ/fPksvv/p1ZM+/4kXz+JYyeg2JTHhfmgdLiI7frENRpMFKq/Jq2LPVrSLz/Pz8cLWZfEAbC3uRiZay+u6nfq3eUqf1t6vO2AGEj2IaOFJjLZfCDS09sNktuJsRbt436q86BnblpSYQJwdLgyqb+3HxiVxLj3/TLl9uzcvjcfj9ywRP++laTmVDT1Ov+bxi634/UtnHXpljyip6vRYYdDRC60orbEdCxVyGR6+Oc/l11ieHSker86Ua/DgDbnu3ESn9QzoceJim3j7mtW2AieZTIaclFDkpITCSynH+0frAAC7j9e7VBj04Yl6MUEvOswX6wonbrc2meXZkUiOCUSdpGXtFyVFQYBju9vyevecC2gkRdlRYb5Teo2rViYiJTYIv3z2JNqG05jePFCFYH8Vbt86tfZqRERERES08EjTA1ReimkXBQFAbIQ9+aRFsqCXaDGSLryOCrVf4ydGScbhprAgm2guGtS7v7NFRIj9fdPeo5vgkTQZaaKTt5tavTljZV4Ualps8/gnL7WxMGiRmBOFQddccw0OHDgAuVyOqKgo8X6lUolvfvObOHHiBEpLS/HRRx/hhhtucPvPNxrN6OsbmvyBNEpMsL24pLKhB03NvVCrFGjq0IotnoL9VbAazejo4ImUu8SF+ODT12bhzk0pKKvvgdpLgaToAAQ70Rt6pNp0qn+Pr9xRgNc/rsEHJxoAACcutqG6vguBvuMXvuj0JpwstU86qlUKrM6JwsaiGKTGBOK7fz+O9p4hW6rAiXosz4qYdDte31cpfr2hIBoD/UMYABAVaP8dlNd1Q9Pe73K7M3c5VWovhPL1kvM9MAXT3V+J5iPpfq8UrFAqZDBbBHT26bH3eK1YBBMe5A1fxcy9P0IlBY6V9d0u/VxBEByKNa9ZGY++XvtFY6if/aK0qqkXrW19E7YBs1itePNgLd4/Xi/ep1TIsSQjHKeHC5BOX2rDtiXuv6AxmS34x9sl4u2rlsdDBcHlv0NssDcUchksVgG1Lf2orOlESMDMF8C/f7xeXImaHh8EH4Vs1L9lVVaEWBh05EIL7mhIcSot0Gyx4vV9l8XbO1YkiMk409lvr12VgL++XQoAWJ0bheQIP4fXC/e376vVTX1oae2F1zSi961WwWHQUGG1Tnn7A1RyfP+B5fjHzksoHi603nOiARvzZ67Ij2Yez2doIeP+TYsR93tajLjfz6z+QftiQy+Fe8YUfSTX2I1t/fxbSnD/XnzqW+yL2n1VCvFvHyCZlK9t7lvQ+wT3+8WjvdPewUMmTH1MS0op2AMLWjsH59x+NJ/27w6Hv4/rY8xTlRkbKH59srQNGk0/5PLZmUsl10wnVWpOZNbLZDLExMQ4FAWNkMvl2Lx5MwDg4sWLM71pNIlAXxXih1cbWKwCLjf1ArD1JByREhM41lPJDQJ8VViVE4Wi9HCnioLcQSGX4+6t6UiPt0UFCgBKhie2xlNS0y1OOiZE+uP3X1qPh67LRlpsEGQyGVblRIqPPVWuGe9lRG3dOlyssU0wywAxLQgAIkN8xMnKQb3ZYYX/TGrr1qG6xfY+UMhlWJrhfLoCEdEIpUKO6FD7qr73jtkLYYrSw92yatBZcZLVhY3tY7eEHE9H75CYGuOrViIyxMfh+0F+KoQNp9yZzFaxJeRYBEHAX98udSgKCg/yxvcfWI77rrKnrlQ198MoWWXpLh+eahR70fv7eOGm9clTeh0ftRKZkkTFizUTH0s9QRAEHCy2t+XcPM7KkMSoACQPp1eZLVYckyQMTeTEJQ16BgwAgEBfL6x3U/HLqpwofObGHNy1JQ0PX5896vv+Pl7iij+LVZhS21Wp7gG9eB4T6KeC2olkw4n4eXvh0ZvzxMLl5g6t+P4gIiIiIiIymqWJQe6ZwokMtV+Ha3qGIAjCBI8mWthGxnUA25jSiNhw+9hXa5cOVivfJzT/6SSJNL5q9+SFhEq6lXT3G2DlMWXK9Eb7Md/ba+byXJKiAxA0vLhSO2RClaQLEC1cc6IwaDLh4bYJdb1eP8kjaTZI2zWU1dvaf0gnYJKj534PR3LdEkkbkfNVnRM+tljy/eVZEfBWOR7cVuXYiwLPV3WKaVPj2XumSfy6KD0ckcH2C1uZTIY0SaXrbB3MjkomTQvTwhAwQaISEdFE4iUFOdLj6xIX2jm5Q0yYHxTDqwY6+/QOMaeTqWmRFAzHBo6Z5JYq+eyulTx+rNc6U9Eh3s5PDcUPHlqJpOgAhASoET1cEGK2WB3amrpDn9aAdyXFWbduTIGf99QjeAtS7a3OSmahMKi8oRftPbbUTB+1EiuyI8d97CZJ+tLB4pZJB5GtguBQvLVjZYJTrUKdtS4/BtetSRo3CShdsj9VN4+/Pzmjs9d+DRIR7For1vH4qJVIivYHYCuyHimuJyIiIiIiMpntSQzTST+VCvDxgs9wGorBaEG/josTaPHqlHQQkRYG+Xl7iRPlZosVHb3sNELzn7QwyMdNhUE+aiX8vG2vZbZYMSBJuiPX6CULW9WqmWslJpfJUJRmn18onmSelxaGOVEY9MILL+CrX/0qjh49Oub3m5psRQDR0YzYn4tyEu2FQeUNw4VBTAxa8KQT0hdrux0uWKXMFisuSBKFxprIjo/wR9xwNb7RZJ2w0GjIYMaREnuLrqtWxI96TFpckPj1dCcDp8IqCA5pCuvYHoSIpkGa1DPCW6VAVmLwjG6Hl1IuFt0AQEvnoNPPrZGcF6SOc14gPV+omaAwSHqMWJYZga/eWeTQ1ipHWrDc0Ov0Njpj79lmsXg1NtwPm6fZqqwgNVT8urSuBxbr2MdST5GmBa3Ji5owCWd1jv37zZ2DYireeIqrOtHaZUvt81YpsHVpnBu22Hlp8dJzgekViEkHAiOCfSZ4pGuyEuz7amVjr9tel4iIiIiI5jejyX5tqFK6ZwpHJpMhMsR+TT9bKetEs00QBHSNkxgEQJynAFwb+yKaq6SLO3293ZdIEyZJDerqN7jtdRcbaVCC9wwWBgHAkgznAyBoYZgThUGNjY3YtWsX3nzzzVHfMxgM2L17NwBgw4YNM71p5ISsxGCMLPyvaxtAv87o0GIkmYVBC1JMmK+Y1GMwWlAxXBR2paqmPrEiOTRQjYRI/zEft1LSTuxk2fjtxPadbRKj9WLCfJErmQAe4VgYNPOJQZcbe9HVb7u48PNWojCNbcSIaOqkMcYj8lPDoFTM/GmcQzuxCdp9XUmaACRNBpKS3i8tJLqS9CJlXX70qN7H0sKg8vqxj01TIQiCw/Hp1g0pUMin9zeIDfdDaKCtFeiQwTyjxazaIRPOVLSLt8drIzbCR610aP158HzLuI8VrkgL2rIkDr7TSFaaivRY+7lAVXPftGLyOxxWErqvMEjaSq7CzUVsREREREQ0fzm0EnNTYRAAREnaeo+kxxItNgM6E4zDi5x91MpR4xWxYfaxr2YWBtECoNO7PzEIcGwnNjIfRq7TG+1/n5lMDAKA3KQQ8TyjtUsHTQ+Lhhe6GZ9RamlpQXV1Nbq7u8X77rzzTigUCuzcuVMsAgIAk8mEn/70p2hubsamTZuQl5c305tLTvD19kJSlK1dmCAA+840wWyxTb6EB3k7rOKnhUMmk6HIiXZi0vuL0sIhG6N9DODYTqykpsvhZGVEn9aA9445tiUZ6/VSYgLEYrWWzsExX8uTjkjSglblRMHLjRfwRLT4xEWMLqhckh42xiM9T1rc2dzu3OCI2WJFvcZeRJQyTmFQUnSA2GKstUsHnX50rHlH7xCaO2w/V6mQIy85dNRjpElKta39LrU8m0i9ZkAcOPVWKVDkhr+BTCabtXZiRy+2iedrydEBSIyavPWrtJ3YyXLNuMfXy019YpGTUiHDjpUJbthi18SG+4mrbPoGjQ6rAV3liVZiAJCREISRs5h6zYDb9lUiIiIiIprfjJJkdne2ZHZIDOLkHy1SnROkBQGOC/RaulgYRPOfQ2KQGwuDwiTvn+mMuy12s5kYpPJSIFcyvl58malBC92Mz1Z/+9vfxvXXX48XXnhBvC89PR3f+c53AACPP/447rzzTjz++OPYvn07Xn31VaSmpuJXv/rVTG8quUC6On/vmSbxa7YRW9iujJm7cjW+IAgOhUHSx18pOtQXiVG2CWezRcC5yx2jHvPmoRoxLSg23A8bC2PGfC1vlVKcvBYA1LTOXGqQ0WTB6XJ7AgPbiBHRdIUHeUPlZT9lk8kwa0lk0iKlJicTgxrbtTBbbIOa4UHeCPRVjfk4tZcC8ZH2wZfatoFRj5EeU3KTQ8ZcRRHgq0L88HZarAIuN7nnGHCyzP7ZvjQjAl5K91yoORQGVc9MYZAgCA5txDY52RItNSYQ8RH21p8nLrWNeozBZMGrB6rE22vzohESoJ7mFrtOLpc5pFBVtUx9P5C2Eot0YysxP28vxI+crwi2ZCMiIiIiIiKjyT5J6M4Fh0wMIgI6HVKBJykM6mBhEM1/OoNnEoPCmBjkFnqHwiD3/X2cxXZii8ucibH41Kc+hWeeeQYbNmxAfX099u/fD29vb3z+85/Ha6+9hrCw2VkZT87JlhQGDUpWjyfHTL76nOavjPgg8USiu9/g0EIOANq6deJFptpLgWxJisNYVktSg6QTsABQ3zaAQ8Wt4u17t6VP2MLFsZ3YzLVmOXe5UzyQR4X4jNsyh4jIWXKZzKG/eUZc0Kyl8cVLWok1dWidas9U40QbMfH7koJi6fNGFEtT6NLHL45yaCc2TqtLV1gFAackbcRW50ZO8GjX5CSFQDHcDq2hXYueAc/35K5u7kfLcBy22kvhcPydiEwmw+YlceLtj4sd24npjWb84T/F4nFXBuDa1Ynu2egpSIt1z7mAtDDIna3EACCL7cSIiIiIiOgKJmlikFsLg5gYRCRNNgmbpDCotVsHq3XqrcmJ5gKHxCBvJgbNNXpJMbDajSmBzipMs9dfVDb2YXCMFH9aODxSGPT888+joqICK1asGPd7X/7yl0d9b+3atfjnP/+JU6dOoaSkBLt378bXvvY1+Pn5jXoszS0Z8UHipJZUSjSLIhYypUKOglRJzNwV1aTS6tK8lNBJ0xVWZtsnWi/VdUM7ZDsACYKAl/dexsgpeGFaGPJTJy4WTHeYDJy5FfhHJW3E1uVHj9s6jYjIFdIWXkUTpK95WligN3zUts/yQb0ZvVrjpM9xLAwKmuCRjm3Gaq8oDNLpzQ6FE0Vp4x8HpIVBZfXTLwyqae5HV7+tYMfPW+kQsTpdPmolMuLtv5eLM9BO7OPiZvHr1bmRLq0WWpNnb5HZoNGirs32dxoymPHEK8WoaOwVH3vHljTEhM3eebxjkfDUzgX0RjP6dbbzEYVc5vb0o0xJYVCl5HdHRERERESLl9FkLwxyV1otAERekRjkzGIfooXGsZXY6MU//j5eCPSzpV2bzFaHhCGi+Uin91ArMUliUDcTg6ZsNluJAUCwvxopwyEfVkFAyQyMTdPsmTOJQTS/eauUDpN5gG2VeFI0E4MWuiXp48fMnZf0o1wyQbLDiPBgH6QN70cWq4AzFbbUoLOVHeJEo1wmwz3b0id9rbQ4+/5Y3dIP6wxc6PZpDbhYaz9ors1jGzEico+rVyYiLsIPOUkh2CJJbJlpMpnM5XZiNa0uJAZJCodqWvocBikv1nbBMrxKKykqAKGBo1d1jchMCMZIXWZD28C0VzqclKQFLc+KgFLh3lPoAkmRk6cvvnR6E05JUvk2Fbm2P/l5e2FFlr2Q9+D5FgzqTfjty+cdWmHdtTUN169Jmv4GT4P0XKCxXQuDZAWOsxwHDL0hH6MQfjoyJWmKta39U9pGIiIiIiJaWExmaXqA+64/A3y9xMU+eqNFXARBtJhceZ0/Fmlyd3Mn24nR/GW1CmKHCxkAb7cWBtkXz7GV2NTpjfbCrdkoDAIc52+Lq8Yem+4bNOLlvZfx6v4qnLikQVu3bkbmXcm9WBhEbpOdGOJwOzrM1639KmluKkgLg3x49rW2dQC9WluignbIJE4QyuAYRzeRVVe0EzOZrXhlX5V437ZlcU6lD0QE+yDA19ZqZ8hgRmuX5+Nxj1/SYOQ4mJUQjPBg97YbIaLFKzbcDz99ZDW+ed/SWT+2xksLg9onLgwa1Jug6bZ9/irkMiRKko/GEhPmK14A9etMDheVjm3EJj6m+HorkTxcnCwAqJxGiyarVcCpcnshzSon2265okCSglda1wOL1TrBo6fnTEUHjMOx9PER/uKKEFdsXhIrfn38kga/eekcaiUFYPddlYHrVs9uURBgK2KKCbNF5VusAupaXW8nJm0jFuGB43qgr0qMKbdYBdTMYMohERERERHNTQYPJQbJZDJEBtvbibWznRgtQtIEoPEKg2Il8w8tLAyiecyh6EStEOfy3CHATyUunhzUmx1alpHz9LOcGAQARZLCoAvVXTBbHMemdXozfvvSOXx4qhG7TjTgb++U4nt/P44v/f4gfvXvM3jxo0pUNEw/tZ88j4VB5DbSth0AkMw2YouCn7cXMhPsCQ8XqruG/98pFsmkxgWK8ZuTWZEdiZFTk/KGHrz+cbVYxe/nrcTNG1Kceh2ZTIa0GW4ndmUbMSKihSg+wj44MllikLRYJD7SH6pJ+iTLZTKkxNjPH0bakFmsVvH4AgBLnGinlu2mdmKVjb3oG7S1TAv09UKWJOHFXeLC/cQWVUMGM6qbXS9gcVa55CJtbX7UlFpeZsQHiQU3eqMFDRr7fvDANVnYsTJh+hvqJg7txFqmUhgkWUnooYJfaTuxCrYTIyIiIiJa9KSJQSo3JgYBQFSo/bpG080WSbS4CIKALicSg2IjWBhEC4On2ogBtnHcUElqENuJTY20MEitmp0FwQmR/uLfcshgxuUm+3yq2WLFX96+OGZ6mt5oQWVTHz463YRfv3gOH51unLFtpqlhYRC5TXpcoENrjeQprECn+UlaTTrSPuy8JG7OmTZiI0IC1OIEmSAAH56yH0hu2ZACfx8vp18rPd4+GVjl4cKgxnYtGoeTM7yUcqzIjpzkGURE85NDYlDHxIMjNS3OtxEb63Ejz69u7sfg8IVssL8KSVGTn2PkSJIMy6axYkHaRmxFdiQUcvefPstkMofUIE+1ExMEwaHw5Mq0R2fJZDJsLIx1vA/Ap6/Lxtals9fqbizpcdMrEu50SAwav33ddGRJCoMqWRhERERERLTojaS8ArZxRneKDLEXBrX3MjGIFpcBnUl8f/molfD1HnuuITbMnqzV0sn3Cc1fOkmKjydS6MMC7WNlXf0Gt7/+YmAwSRKDJllU6ykymeyKdmK2eV5BEPDinkqU1naL39tQGIP81FCxY4vUS3svO6T+09zDwiByGy+lwiE1SDrJQQub9IBxqa4bOr0ZF2umVhgEAKtyR7dpiQnzxRYXJxvTJJPLnk4MOiZJC1qaET7rrX6IiDwl/opVU1dGi0o5FAbFOFkYJE0MGk4cGik6BWzHFGdSbjLig6GQ2x7X3DGI/uHUH1eYLVacrugQb3uijdgIh8Kgas8UBnX26dE9fJHurVIgMWri1m4TWVcQLQ5Qy2TAIzfmYGNR7CTPmnlXngsILva+dmglFuT5xKDqln6YzJ5rJUdERERERHOf9JpA5cZWYgAQFWIveGBiEC02nU6kBQEQW34DQGvXIKwujiUQzRVDni4MCpIWBjExyFUWq1U85svg/pRAVyy5IgBCEATsPtmIA+dbxPtvXp+Mh6/PwdfvXoI/fHkDfvfYejx+RyFShoNCBAH469ulaNAMzPj2k3NYGERudf+ODKzJi8IndmQi0YnV/LQwRIX6ii1FjGYr3jpcI8bfhQd5O5xIO2N5VsSoXqf3bMtwSKRyRnJMoDgp3Nqlw6De5NLznWWxWnGsVNpGLMYjP4eIaC7w9fYSo0UtVgGa7rFXTgmCMKXEoBTJ4+rbBmC2WHFestKgyMliU7VK4fAzy6eQGlRe3wPtkO3YERKgdkiic7fc5BDxmNXQrkWv1v2rbKRpNOnxQdNKPwr0VeELt+ZjZXYkvnZX0Zw99sWE+4kDH/06Ezr6XBukkD4+wkOtxEIC1OKqXZPZ6tCCz110ejPK63uw+2QDntpZih89cxL/+9oFnC5vn7C4j4iIiIiIZp7R5LlWYg6JQT0sDKLFpbPPvs9PVBgU4KtC4HAahtFsxfHSNl4707wkTQxydysxwDExiK3EXGdwaCOmcGoxrKdkJYZArbIVI7f3DuH94/V4dX+V+P01uVG4ZUOKeFsmkyEkQI0lGeF4/M4i8TPVYLLgj69dQM8AE6TmIkZakFtFhfji0ZvyZnszaBYUpYejtasBALD3TJN4v7PJDlKBvirkJIeI8XT5qaEoTAub5Fmjqb0UiI/0R32brTq1pqXfIZHBXcrqetA3nEQR6KdCXsrUWrMQEc0X8RH+YvJMU8cg4iJGJ8909unFohoftRJRob6jHjOWYH81QgPV6O43wGS24mxlB9qGi49USrlDOuFkcpJCxJ7I5fU9Lif+nJC0EVuZHTmqaNWdfNRKZMQHobyhF4CtndiV7bqmq2L4tQH3JDsuSQ93ORVwpsllMqTGBornFNXNfYh0ssBHEIQZaSUG2P4eI4PyFY29DilCU9XVp8dbh2pwuakP7b2jB/wbNFqcr+pEgK8X1uVHY2NhrEMxt8lsRUvnIOo1A6jXDMBXrcRN65KhmqVYYyIiIiKixcKTrcSkiUHNnYPo1xkR6Kty688gmqukiUFhExQGAbbUoP7hcZR/vFuG/+yvxvr8aGwsikW0k2NcRLNNp5ckBnl7tjCopXPQ7a+/0OklhUHeqtkdb/NSypGfEoozw+n5r39cI34vPT4In74+e9y53iA/Fb5yVxF+8fxpDBks6Bkw4I+vFeM7n1gGbxVLUeYSJgYRkVtIJwalyZpFGVObMLx1YwpUSjnCg7zxiR2ZU96u9Fh7uoMn2okJgoD3j9eLt9fkRk0rgYGIaD6IlxQCNXVox3yMYxuxAJeKaqTtxN4+XCt+nZcS6lJRQnaivYiorN61xCBbUZI9qciTbcRGOLQTq+me4JFTU9Fo/x1kJSyeItapthbtHzSKA/J+3kr4eo/une0u0kKgyimkW11Jpzfj1y+exZGLbWMWBUkN6EzYfbIR//WPE/jF82fw9Ptl+NEzJ/HFJz7Gj/91Cv/aVY79Z5vx3rF6vPZx9bS3jYiIiIiIJmb0YCuxQD8VkoaT/s0WK/aebprkGUQLh7QwaLJ24VuWxjmMZfUPGrHrRAO+9/fj+NW/z+B4aRtbjNGcN+ThxKC0OPuY26W6HpjMlgkeTVfSOyQGzX4BzVgLQCODffDl2wvgNcn5SFy4H754a4H4udmg0eLv71yC1crPybmEs9dE5BZpcYHw93GcMPNRK6acSJAWG4Q/f30zfvHoGoeVLFPZrhGXXJwUdsbhklYx3UEmAzYWuTfdgYhoLoqPsKeKNLVPXhiUEutaC65UyeNbu+ytypxtIzYiLS5QXF2p6RlyKdL2Ym2XePEcHuQt9kr2JGlhUGltt1tjqrv79ejotf37VUo5kmfg3zNXSFvAVTU5Xxg08vsCgHAPtREbkZUYLH5d1dw/rb+9IAh4bne5w4CnQi5DYqQ/NhTE4BM7MvHNe5fg5vXJCAlQOzy3qrkPhy+0okGjhWWMC/cjJW0wmDjIQ0RERETkSSYPthIDgOvWJIpf7zvbBL3RPMGjiRYOZ1uJAbYFYr/43BrcuC4Jwf6OqVqVTX34+85L+Nmzp1HlgcXIRO4ibSXm44HCoJgwP0QNt6g0mCziXBk5RzrG5j0HEroL0sIgXdrr563EV+4qRICTyYJ5KaF44Bp70MP5qk78R9KOjGYfC4OIyC0UcvmoNl35KWFQKqb+MSOXy6b1fMDWF3OksL+qqQ+Vjb3Tej2pPq0Br+y1H9SuWZmIOEkLDiKihSo+UpoYNHZMbE2rfWAkVZLY4ozxHl/kYltJL6UC6XH2opByF5JYTpW1i1+vyomakR7PcRF+CAu0FWoMGcwoqe5y22tLj39pcUHTPr7OJ6kxQeK5QGO7VmxxN5kOaRuxSQYMpys8yEf82xtMFtRrBqb8WocutOKkZP996Lps/Pnrm/Gjh1fh4RtycNXyeOQkh+LWjan4zRfW4Wt3F2F5VgQU8tH7eGSwD1ZkR4oFREMGM06Xt496HBERERERuY8nE4MAYHlWhNhieVBvxsHzLW7/GURzUZcLrcQA2zXx7ZvS8JsvrsPjdxZiaUa4Q4pQXdsAfvH8GTy18xJ6tQaPbDPRdDgkBnmglRjguJDzfFXnBI+0Y4qMzVxqJQYAgb4qFA6PvyvkMjx2WwFiwlyb89y8JA7XrrYXIH94qhEvfXTZrQtgaeoWz4wAEXnckivaho0VOzfTQgLUWJcXLd5+42ANBDdFfL7w0WWx4joi2Bu3bExxy+sSEc110aG+YhFBV78e/Tqjw/fNFivq2+xJQtLWYM5Iihrdeiw1NhBB/upxnjG+7CTX24kZTBacuyxtIxbp8s+dCplMhjWSY9bRi21ue21pYVDmFNP85itfb6W4DwoALtU516atQ7KSMMLDiUEAkClp7zbVQubmzkG8uKdSvL2pKBabimLF5KwryeUyFKSG4bHbCvC7x9bjU9dk4d5t6fjWfUvxp69uxK8+vxZfvDUfVy2PF5/zcTEnDYiIiIiIPMkoacUy3rn8dCjkclwjmbTbfaqRE3a04AmC4JCsO1likJRCLseS9HB8+Y5C/O6xdbhhbZLDgqtjpW347t+PY9fxepjMfC/R3KHTezYxCHCcByyu6pxw/k0QBDy1sxSP/uYA3jhY45HtmU+kiX3qOVAYBAAP35CDT+zIxA8eWukwru6KO7ekYXlWhHh7z+lG/OalcyygnANYGEREbpOfEgqlwjaRq5DLUOBisoOn3LQhRZzArmzsdUtLsXOVHQ4r5j91bTbUcyDqj4hoJigVcsRJ2ok99U6pwyBiU4dWvB0e5I1AP+fiRkeoVQqH1wdcbyM2IkdyAVNe3+NUcWhJdZcY5RoT5osESUKSp62VFAadr+p0Ot1mMhWSQpOptvmcz/JSQsWvnS4M6p3ZwiBpO7GKKUQvG00W/O3ti+Lq4thwP9y3PcPp5wf6qbBlaRyuXpWI7KQQ+HrbW8SuL4gRz6WqmvrQ3Dl2Uhg5r7lzEP/z4ln872sX3PY+JyIiIqKFwWSSJAZ5oJUYAGwoiBav1XsGDDheqvHIzyGaK/p1JrFox1etdLjmdUWQvxp3bE7Dzz+7Gssz7RPfBqMFrx6oxo+eOTlqAR3RbHFIDPJQYVB6fBD8htOIuvsNaGzXjvvYy019OFaqgVUQ8O7ROpy4tLiPPYY5lhgEAAG+Kly1PH5a4+FymQyfuTEXSyVhEpeb+vDjZ06NuRjSYrXi/OVO/OmNEvzkX6ecXtxLrmNhEBG5jY9aiU9enYW44Ykof5+pnVy7W2SwDzYUxoi335pmapBOb8bzH1aItzcUxCAvOXSCZxARLTw3rk0Wvy6t68ELeyrFz9aaln7xe662ERvveVNNoUuODhBXXHT1G3CmomPCx5stVrxzpFa8vTI7ckbaiI2IDfdDSkwAAMBiFXCqbPoXyH2DRrR26QAASoVsyn+T+SxXcpwurXWuQKyjV7KSMNizrcQAx4Kty019Lscqv7KvSmzt56WU4/O35LmtaDnIT+WQDHmIqUHT0qAZwK9fOIvyhl6cr+rEq+y3TkREREQSnm4lBthab+9YYU8G3XWiHlY3pawTzUWdklRgV9KCxhMR7IPHbi/A/7t3CeLC7YvbWrt0ePtQ7QTPJJo5uhkoDFIq5ChItYcETNRO7OMrWlc++0E52iUL8xabudZKzJ3UXgo8dnsB7ticipGh9b5BI/7nxXP48GQDBEFAe48Or39cjf/356P439cv4GxlB+raBvCXty5Cp+ciOk9gYRARudWmolj89DOrsW1Z/OQPnkE3rUsW04yqW/pxobpryq/12sfV6NXaqv4Dfb1w97Z0t2wjEdF8siI7EjevTxZvf3y+BbtPNgIAaqWFQS62ERvreWGBasRHuNbPeIRSIce6fHsKz7/3VGJwgguLXScaxOIKlZccGwtjp/Rzp2Ndvr2Y9Wjp9NuJXZasxEiJCYRqESbcpcYGihfYXf16aHomH3TonOFWYpEhPgjyt63YHTKYJ1xhdaXT5e3Yf65ZvH3fVRmIj3Bv0tXmIvt74ejFNsajT1FdWz9+89I5h5SgwxdaUd82MItbRURERERzibSVmMoDrcRGbF0aJ14ntXbpUHx5/MlcovmuS9JGLMwNhUEjcpND8cNPr8Rtm1LF+y5UT9xOaaZYrQKOXWxDRQPTNxYraWKQj7dnCoMAx6T34nEKgwb1JpyuaHe4T2+04G9vly7adpbSwiC1l+f+PrNFLpPhhrXJ+MY9S8QgCasg4OV9VfjeUyfwnb8dx3vH6tGndUxZ0w6Z8M6RulnY4oWPhUFEtCiEBnpj85I48fZbh2rHPTk3mS24VNeN1q7BUav1Kxt7cUAy8Xb/jsw5k4xERDTTbtmQgjV5UeLtV/dX4UxFB2papYlBQVN67aL0cHEly7bl8dNK7bljU6pYcNE/aMR/9o2dztHaNYidkrSg2zamunWwyFmrciLFtk3Vzf3QdOum9XrStlTSdlWLiVIhR3aiva1cae3E7cRMZit6+m19r2UyICzQ8/uBTCZzSA2qGCNadyydfUP4165y8faKrAhsXuL+grbclFDx96AdMuFs5cTpWzRadXMffvPSeQzqzQ73CwBe3nt5TgwcExEREdHsM0paiXl5cGGHr7cXtiy1j5e+f7ye56S0YHVKCoPCg9y7+EepkOO61YnwUdsTq1u6pjeW4w7vHa/HU+9ewq9fPDdpgjYtPIIgoH/QvijJU4lBAFCQGiqOZda2DqBnwDDqMcdLNeIis7BAteTx/XjjYI3Htm0uM5gWbmKQVG5yKH706ZUOKfZXjncH+qmwMjtSvL33TBPapjkmTqOxMIiIFo0b1iaJq2zqNQM4Wzm6crm1axA/euYUfvvyeXz/qRN47PcH8Yvnz+CFDytx6EKLw8TbkvRwhwMVEdFiI5PJ8OnrcpARbyv+EQA8tbNUbFulkMuQGDW11JJAPxV+9fm1+OFDK3HtqsRpbaevtxc+uSNLvH3oQivK6hwLQ6yCgGd3lcNssQ2CJkcHYPuK2Um/C/BVoTDNHsF79OL0UoMqGu0rwzIlhSeLTW6yvTDoUt3EhUFd/XqMDIeHBqihVMzMZZO0MKi4avIVhmaLFX97p1SMhg4L9MZD12V7pP2dXCbDxiJ7mtVBthNzSWlNF377ynlxtZ6ftxKP3pQrDoRVNPay2IqIiIiIAMAhndOTiUEAsGNFgkPKeqWTCxSI5hvHwiD3L/5RKuQObcxLptGxwF2OlrSKX//7wwq25llkqlv60dVv2++9lHKEBnhu0Zuvt5fDmOOFase5N0EQHNqIXbcmCXdsThNvf3CiASU1s/+emWl6o33h2EIuDAJs4Q3fvn8Zti6zFyTLZEBRWhi+dHsBfvvFdfj8LXnIHJ5nsFiFcRf3OkNvNC/aJKqJsDCIiBaNYH+1Q4uztw7XOPTOPl3ejp88e1qc0AZsFbtVzX3Ye7YJz7xfLlaoeqsU+OTVmR6ZeCMimk+8lHJ86fYCRA63WjJKBjDjI/yn1bbK38cLSdEBbvmsXZ4VgeVZEeLtZz+ocFiV8fH5FlQ29QGwFTQ9dF02FPLZO1WWtj87VtrmcLxyhXbIJLZGk8tkSI+bWoLTQpCXYh+gK2/ogcU6/sVhR+/MthEbkSMZRCyr78GhC60TPBp4+3AtqpttCV1ymQyfuyUPvt6eSzLcUBAj9gUvq+9Bew9X7jjjQlUHfvjUMRiGI6L9fbzwzfuWYk1eNLZKVmi/sq+KLdqIiIiIFjlBEBxbiXl59ro0JEDtcP2560SDR38e0WyRtgv3RGEQABSk2hd5zXaRQ3uPzqGNet+gEf/ZXz2LW0Qz7aPTjeLXq3OjoPZw4YljOzHH/b+2dQBNHVoAtoLXNbnRuHpVgsN75h/vXkKvdnTS0EIlCAI6eu0Fi57++8wFXko5Hrg6C9+4ZwkeuDoTv/3ienzlriIsy4yAUiGHTCbDvdszMDITcL6qE6WTLO6UMpgsOFLSil/9+wy++MRBfPGJj/HjZ07hX7vKsP9sE6pb+mCUzAcsRiwMIqJF5do1iVAPT1I3dwziVFk7LFYr/rOvCn9+66I4YeOllIttZ8Zy15Y0hM5AWxEiovkgwFeFr95dBL8relVL40Hngk/syITPcGxue+8Q3jlsaxvWM2DAq/vtKxCuXZ2IxKiAWdnGEYVp4eLvs7NPj8tTXLUpfV5SdAC8VQuvX7WzokN9ERqoBgAMGSyobRkY97GdksKg8BksDIoO9cUWSRuwF/dUonl44ORKpXXdeP9YvXj7tk0pHi/8Cg30RqFk0OZg8cSFS2RrQ/vjp46L55iBfip8+/6l4mfMzRtSHN7r0oE7IiIiIlp8zBYBI+tCFHLZjCxYuXZ1kjgJd6G6C43tY1+DEM0HO4/W4et/OozH/3jI4b9LtfY0ZU+1jZcWOVxu6nVIA5lpJTWjJ9MPFregvL5njEfTQtMzYHBoH7d9uedT0Zek2/f/0rpuhwWZB4ubxa9XZkfC11sJuUyGR27IEefhBnQmPLXz0pQXR84nQwYz/vzmRYfk6ADf8ecjF5q8lFBsXRaPkAD1qO8lRwdifYE9sfzlvZcnXNwpCALq2vrx3O4KfP1Ph/HP98rExb9mi4B6zQAOFrfi+Q8r8fPnbAVDf3i12GH/XExYGEREi0qgrwo7VkpTg2rx25fO44OT9tUwEcHe+P4Dy/H7L23AE19aj6/eVYjbNqVieWYE4iP8sGNFAjZLVncTEZGtoOFLtxeIbXGAuVcYFOyvxj3b0sXbu082or5tAM/vroB+eNI+KtQXN69PnqUttPNSyrEqJ0q8PdV2YhWSwqCsxOBpbtX8JpPJHGK9L9aOv3pPumJnJhODAODeqzIQF+4HwJbA9de3S0etZukfNOIfOy+J7c5yk0Nw3ZqkGdm+TZLCpcMlrYzlnYDZYsUz75eJSWrB/raioLgIe4tFfx8v3LoxVby982gd+gaNM76tRERERDQ3mCRpQV4ebiM2IjrUF8skCbu7jtdP8GiiuauzbwhvHqxBr9YI7ZDJ4b+RYgMZgPAgz1znhwSoET98vWe2CCibxSIcaWKRdCHfvz4oX/SJGYvBgXPNsFht+3xmfNCMLICMDPFF7PB4lslsRVmdbf8fMphx4lK7+LjNS+xza4F+Kjx6Y65YnFpW37Pgj0HNHVr85NnTOCMpCsqID3JYiLfY3b451SHg4dAYCxMFQcDJMg1+/Mwp/ORfp3HgXDOGDPbPtvEaEFgFARequ7DvTJNHtn06BEFAZ98QzlR04I2DNfjzWxex53QjBDcWy7EwiIgWnWtWJYqJEZpuncOkaVFaGH7w0ErxRCnYX43CtHDctC4Zj91egJ88shr3bc+AnC3EiIhGyUoMwWdvyoWftxIpMQFYkR0525s0ysbCGGQPF8hYBQG//895nK+y971+6NoseCnnRnSrNM79dEX7lAZupMc4aa/vxSpPUhh0qW78ATqHVmIeWkk4HpWXAp+/JQ+q4UmA5s5BvCzpqW0VBPzjvUti8Uigrxc+e2PujJ2bFKaFIXh4NVf/oBHFVZ2TPGPx2nemSYxu9/NW4jufWIaYML9Rj9u8JBYxYb4AAL3RgjcP1nhsmwRBQHVLH947Vofa1n6P/RwiIiIimhppe+7ptOZ21fWShQYnLmlmtaCBaKrKJrjOB2wTxdtXJMDX23NpygVp9nGHsVJ7ZoLJbHFIBnr8zkL4qG2fJ+09Q3jnSN2sbBfNDJPZio/P2xN6tq9ImLGfXSRJDRoZbz1ZphHTWWLD/ZAW57iQNCc5FDesSxZvv3WoFpruhdm6/mSZBj977ozDv2/78nh8876li6KVmLOC/dW4Ya39vOSNgzXQ6e0JbA2aAfz6xXP469ulaLgi5TAqxAd3bUnDE4+tx/9+ZSO+ee8S3L01HatzoxApWfz54alGh2Ls2TKoN+GNgzX47cvn8PgfD+FbfzmGJ98swbtH63C6vB0vfXQZ5y67b+x18fYSIKJFy8/bC9esSsBbh2rF+2QAbt2YghvWJbPoh4hoGlblRGF5VsSMxJ1PhUwmw4PXZuMHT5+EyWxFv84kfm/LklhkJYbM4tY5So0NRFSIDzQ9QxgyWHC+qtMhRWgyOr0ZDRpbuywZbCuEFrucZPvft6alHzq9edSAoNUqoFHSvmumE4MAIC7CH/dtz8CzH1QAsK30yk0KwYrsSHx4shEXJYOLn7kpF0H+o6N3PUUhl2NDYSzePVoHAPi4uAXLs+ZeEeBsG9AZ8bZksPXeq7MRGeI75mOVCjnuvSoDv/9PMQDgUHELti2Lc+uKvgGdEcdKNThU3ILmzkEAwJsHa3HHllRcuyoRMp7/EhEREc0JDoVBM5QYBAApMYEoTAvDheouCACe2lmKHz28CoGLqLUJzX/lDfZimFs2pGDbMsfUf6VCLi4Y9pTC1DDsOm7rTlBS3QVBEGb8equioVf8LIkO9UVGfDDu2pqO54bHGD440YBr1qUg1cPtyGl2nCrXiOOdIQFqLM0Mn7GfvSQ9XNz/i6s6YRUEHCxuEb+/qSh2zPfDLRuSUVbXjeqWflisAv6zvwpfvqNwxrbb04wmC177uBofnban1Ki85HjoumysyY2e4JmL19UrE/Dx+RZ09euhHTLh3aN1uH5tEt48VIMD55ohDdHxUsqxIisSm4pikJkQ7LCP5SSHImd4oajJbMW3/3oUvVoj+gaNOHqxzSHBaqYZjBb84vkzaO2auBDuzUM1WJIR7pa567k5Y0NE5GE7ViSIvUv9vJX42j1FuGl9CouCiIjcYK4WBY2ICvXFLRtSHO4L9lfhzi3p4zxjdshkMqyVpAa52k6sqrlPvEhKiPKHr7eXOzdvXgr0VSExyhbrbRUEVDSMXk14pKQV7cMpLyqlXIxBnmmbimKxUpK69cyucpws0+D1j6vF+65bnYj8lJmPGt5UGCPGPJfWdKOzb2jCxy9Gbx2uxZDBtpopNtwPN6xPmfDxBalhKBiOjRZg66E+3ahgqyCgtLYbf3nrIr7x5BG8vPeyWBQ08v1X91fjz29eFLeViIiIiGaXNCl2plqJjXjw2mz4+9iuG3u1Rjz9Xplb21dMxGoV2N6IpkUQHFt3FaaFIcBX5fCfp4uCACAtLkhM5+nq10864esJFyRtxEauMzcVxSJrOEnaKgj4v/+cg4WtwRccQRAcik+2LYub0XHatNgg8TjSN2jEoeIW1LbaFi0qFTKHdHQphVyO+3dkirfPXe7EpTr3J24ZTZYZPdbUtw3g+Q8r8LU/HXH4u0SF+OC/PrWCRUETUHkpcNfWNPH2ntON+O7fjmH/WXtRkEIuw44VCfjdY+vx2ZtykZUYMmEhppdSjqtXJoq3d51ogNU6M+c5Y3lhT+WoY4SPWonsxGBcvTLBoZ3a6fL2sV7CZXN71oaIyEN81Ep875PL8eC1WfjpZ1bPyqQaERHNnmtWJYgFIgDwyauzPBolPVVr8+wXiBdrutGnNTj93IpG+4AY24jZSduJlV4xyDBkMON1SRun69YkzcjA4VhG0q3Ch1uZDRnM+OvbpWKP+NTYQNy2KXVWti082Ae5KbbfowDg4Bi9vhezpg4tDpyzx3Y/cnO+U5M692xLF4vUyxt6pxUVbLUK+NPrJfjdK+dxqrwdZot9oEPlJUd0qD296ExlB37y7Gk0d2jHeikiIiIimkEmh8SgmW0rEhKgxmduzBFvX6juwp5TjR7/uUMGM37y7Cl8/ncf4xf/PoPDF1phMLJIiFzT1q1Dr9bWcttHrUSSGxNYXaFUyJGbJG0n1jXBoz1D2sJspLWZXCbDg9dlQ6mwXZtWNfXhbQ+2sabZUdPSj7q2kUIcOTYVxc7oz5fLZShKs8+1vby3Svx6eVakWDQ0lpSYQKyXFA69vPeyW4s2alv78a2/HsPjfzyEMg8UHY3Q6U3Yf7YJP37mFH78r1PYf7bZYTHWsswI/PeDKxEf4T/BqxAArMyORPpwAr7FKmBQ0k4sLzkEP3p4Fe7bnjHhfnWlzUti4Ts81tveM4SzlR3u3WgnHS9tw+ES+3jqHZtT8evPr8WfvroR37p/Ge69KgPbV8SL33/rUC0s1ukXc7IwiIgWrYhgH2xeEofgGWy/QUREc4NCLsfX7irC1SsT8OhNuViWGTHbmzSmiGAfsajHKgg4cUnj9HMrG3vFr7MS5k6LtNmWlyItDHJMDHrvWD36B20DiSEBaly7OhGzyddbic/dkgeF3HG1i49agc/dnCcO6M2GzZLBpY9ON7pUtLaQCYKAV/ZeFlcv5SaHYGWucy0AY8P9sFUSdf/mwZopD4LtPFqH81WOhUUpMYF48Nos/P5LG/CTR1bhquX2AQZNtw4/fe60S58xRERERDR1ta39+O9/nsBf3rroUAQjTTJQec38+X5hWjiuWZUg3n71QDXq2vo9+jM/Pt+CBo2tSL2qqQ9Pv1+Gr/3pMJ79oBy1rf0zllpE81u5JC0oKyEYcvnsdQYokBRGzHRhUHvvEDTdtgQKlZdcTAkCbG3FbtmQLN5+YXc5OnqZALyQfHTGnkqzJjcKAbPQDrIo3d66zCA5pjlTpHT75jTx2NfUMYiDF1omeYZzOvuG8MfXLqB/0Aij2YpnP6hwKMR1l4PFLfj6n47g+Q8rUa8ZcPheZLAPPnl1Jh67LX9OLk6di2QyGe67KsPhvvAgb3z59gJ8/Z4liJtCyruPWolty+1jb+8dr5/x8wxNjw7P7a4Qb6/Ji8L1a5IQEezjkHh0zapEMYGurVuH46XTH7NjYRARERERLUpB/mrce1UG1uTN7dhWaczuR2easOd0Iyobeyds/WMwWlDXar8AzUxg3/gRGfFBYnqLplsntsHq6B3Ch6caxMfduSVNjGydTWmxQbj9imSgB6/NRkSwzyxtkc3SzHCxzZreaMGbh7jSELCtqh4pOJPJgHu3ZUwYY3ylm9cnQ60ajgruHMTJctcv+isaevDOkVrx9pq8KPzk4VX47wdXYPOSOPiolVAq5PjEjkw8elOuOOhmNFnxt3dK8ac3SvDhyQaU1/dAp2eLMSIiIiJPeHFPJZo7BnGqvB0vfFQp3u+YGDQ70zd3bE5DcrQtbcViFfDXt0o91nrWahWw72zTqPv1Rgs+Pt+Cnz57Gj98+pTDwheisZQ19Ipf5yTN7uKofMmCpMrGXuiNM3ddVVJtL0TKTgyB1xXJY9esSkRCpC2pxGiyYO+Z0e8/mp96BgwO7Yaki4FmUl5KKJQKx3GQyBAfZCcGT/rckAA1bliTJN5+82DNtMcldHoz/vjqBXEhIGAroHP3vl/Z2ItnPyiHUXIc91LKsSYvCt+6byl+8bk12LYs3qUxIrItcvvEjkykxATg9k2p+PlnV2NpZsS0fo/blyeIY8P1bQMObSg9zWyx4q9vl0I/XBQeGeKDB67OGvPf4+/jhWskrc/eOVIL8zRbQLIkjYiIiIhoDluRFYkX9lTCZLais0+Plz66DACQAYgM9UVSlD8C/RxXAA3oTGLLqbhwv1lZITRXeSkVyEwIRmmtLTb4Ul0PNhX54NX9VWK7pdTYQKx2MuVlJlyzOhGtXTocK23D9WuSsCpn9rdNIZfj3m3peOI/xQCAQ8Wt2Lo0HknRsxPXPheYLVa8vM8ek715SRziI12Lhg7wVWHHigS8e7QOAPD2oVqszI6EQu7cpNCAzoi/77wkJhZlJwbjMzfkjrtadk1eNOIj/fHkGyXQ9NiK5M5WdjhEKUcG+yAxOgDBfirbB88VYsP8sGlJrNgGjYiIiIgm1tE7hOoWewrP4QutyE0OwZrcaBhM0gnF2VmooFTI8blb8vDjZ05Bb7SgvXcIz39Ygc/emOv2Cc3iqk509ukB2CbArludiIMXWsXEE8DWqvfvO0vx68+vdfq8mBYXqyA4JAbNdmFQaKA34iP80NQxCLNFQHl9L5ZkhE/+RDeQJhQVpIaN+r5SIcedW9Lw++Fr+VPl7bhb0taa5q+PzzeLY4EZ8UGzNj7jo1YiOzEEF2vt7bo2FcU6ffy4ZlUiDha3oKvfgAGdCe8eq8PdW9OntC1mixV/efsimjsHR31v59FarMuPHjWmOhXaIRP+9k6pOBYTFeKD7SsSsCYvCn7ezre5orFdtTzerYVugX4qbCiMwf6zzQCA94/XIzc5dJJnOae2tR+ltd3ISgxGelzQqP3+tQPVqB9u96eQy/D5W/Lgox6/XGfHygTsOd2IQb0ZHb16HClpxZ3RU18AzLMoIiIiIqI5zNdbia1L40bdL8CWeHOyrB0fnW5y+E/aDihTEhtNNnmSi73S2m5UNPTgdIW9EOK+qzLm1KCYXCbDwzfk4KlvbcVtV6QHzab81DAUDkekC7D1f1/MMf/7zzaLExg+agVu3Zgypde5dlWC2O9c0zOEYxedSw0SBAFPv1eGngFbWzd/Hy989qa8SSP04yP88d8PrsTScQaq23uHcLq8HR+daRr1WfPR6SY8t7sCe041uvAvJCIiIlrcTkkSHUY890EF2nt0MJlnt5XYiKgQX3zq2izx9vFSDY5ebHP7z5G2vdm8JBbXrUnCLz67Gt/5xDKsz48W2yd39xtwrrJzvJehRa65YxDaIRMA23VQbITr7WXcTVqUM1PtxExmi0OBVEHq2BPduckhYjFEz4ABVU19M7J9NH19WgPOX+5EU7sWFqu9kNRktuLAeXvbre0rEsZ6+oyRthNTyGVYXxDj9HNVXgrcJSkE2nOqEZoe3QTPGJsgCHhxT6W4MBAAPn19NqJDfQEAQwYL3nJD+rUgCHjmfftYjJ+3Et+8bymuWh7PoqA57JpViRgZ+r1U1+OWtqn1bQP45b/P4I2DNfjlv8/i+0+dwAcnGsS0qgvVnfhQMn5219Z0JEcHTviaPmolrl1tTw3aebQO1mmMvbIwiIiIiIhojrtnWzq+98By3HdVBtblRyMuws/pwpVVOZEe3rr5JzfZvnrwUl03Xt5rT3lZkxuFtDi2XnPWPZKVhRWNvQ5JM4uJdsiEtw/b23fdtC4FgVNM6vL19sI1q+yDeM5GBX90ugnFktj4R27IQUiA2smfqcSXbi/Afz+4Ap/YkYkNBTFIjPSHYpKiohHvHav3WHsJIiIiooXmpGQhx0jhi95owV/fdmzZpZqlxKARa3KjsaHQPpn7/IcVaO8dctvrN3doxfYdcplMXBAjk8mQmRCMR27MdZgMY8sjGo+0GCY7KWROLPS5sjBoJhbRVDT2im2MokJ8EBniO+bjFHI51hfGirdPlLnewppm3qDehJ88exr/+/oF/ODpk/jiEwfx02dP47ndFXh572Wx+CAkQD3uwp+ZsjwrAt7DbdLX5EUhyMVUnpXZkUgfHpuzWAX8R5LO7Ky3Pq52KJa6eX0yNhbG4t6r7EVHHxe3oLFd6/JrS+0724xzl+2Fq4/ckIvQQO9pvSZ5XmSwj0Mi+/vHG6b1ekMGM/7y9kUxjR4A2rp1+M/+KnzjySN48o0S/OPdMvF7RWlh2LHCuRSk7csTEOhrKzLr7jegp18/5e1kKzEiIiIiojlOJpMhPS5IvCgGbL3gmzoG0dg+4BA3L5UcHcDEoDHER/oj0NcL/ToTBvVmDOptEa4qpS1Sm5wXE+aHbcvixJW+r+yrQmFauNirezFo6RzEc7sroBuexIkM8cF2Jy/ux7N9RQL2nG6CdsiEzj49Dl9oxZYxksNG1LcN4NUD9oGyHSsSHFboOUMmkyElJhApMfbVSiazFc2dWjRotGL/c6k9pxrR1a+HdsiEj0434qb1U0tJIiIiIlosWrsG0TA8CalUyPG1u4vwxCvnYbEKqGsbQN/wxC4AeM1iYtCIT2zPRHVzH1q7dDCarHj+g3J8/Z4lbmkpJi30WZYZPuZE6talcdh1vB4Wq4CKxl40aAaQGLV42xfT2MrmUBuxEenxQfBWKaA3WtDZp0dbtw4xYZ5NMiqptiejjNVGTGrj0jjsOlYHADhT3o77t2ewVd8ct/tkg5hKA9iu12tb+1Hb6ph0snVpnFh0OluC/dX4r0+tQEP7AJZmRLj8fJlMhvu2Z+Cnz54GAJy73Imyum7kONnu6VhJK555t1S8vSY3CrdssI1XFKSGIT8lFBdruyEItvTr/3fv1I5rDZoBvLLvsnh7+4r4GWsbSNN33epEMXX/TEU7NN06RIWOXVA5mX9/WIH2HlvxtMpLDrlMJo6jWawCzkgWUgb7q/DwDTlO73NqlQLXr0nCy8MFcu09QwgL8pnSdvJTnoiIiIhoHlJ5KZAaG4jNS+Jw9cqEMf9jUdDY5DIZclNGDyZcuzqRq3qm4OYNKfDztq056ezT46PT028rJQgCDpxvxjeePIKfPnsK+882Qac3Tft13UmnN+PlvZfxw6dPorKxV7z/nq3p0x6E81Ercd0ax6hgaVsJqSGDGX+VrEpKigpwW4Gbl1KO5OhAbCqKHfMzZmRgDQA+ONmIwTn2NyIiIs8xmS14amcpvvnnI3j942rojUyOI3LGqTJ7G7HCtDDkJIU4nLtJJ31Vc6DYXq1S4JEbcsV2G6V1PW5pKTaoN+Foqf11rlo+dmF9SIAay7Psk8pMDaIrWaxWVDTOvcIgpUKOXEkRQ0m159uJSVuWFaRNXBiUmxKG0EBbwmy/zoTyhl5PbhpNU7/OiD2n7Z9/I+khV1Iq5Ni0JHbM78202HA/rMmNhtpraul3KTGBWJcfLd5+/sNKNHVMnO5jFQQcvtCK375wBiMhXRnxQfj09dliEYZMJnNIvy6r78H5KtdbVeqNZvzl7VJxLCYxyh93bUmf5Fk0lyRGBSB/uOWiIAAfnJxaatCRklYcK7Unrz10bTZ+/6UNePj6HKTHO6bSywA8elMeAlxMGd+yNA7B/rbnmM2Tp4qPZ/bPLImIiIiIiGZY3hWrjIL9VbhuddIsbc385u/jhVs3poq3dx6tc1jp7CqjyYKn3yvDcx9UoGfAgNrWATz/YSW+/qcjeGrnJVQ09MxIDPt4rIKAg8Ut+O7fj+HDU42wWG3bIpMBN6xNctvqsG3L4hE4HLfdM2BwiMAeMWQw4+n3y6AZXpWkVinw+VvyZiyxaW1+lLiaashgxu6TrheFWQUBH51uxP+9fgGltd2TP4GIiGadIAh4+v1yHCvVoKvfgPeO1eP7T53A8dK2WT1GE811giA4tOwZafu8Y2UCCseYxPea5VZiI1JjA7Fjhb3V7ct7L0/rfB8ADhW3wjicfJsQ6T/hopbty+0/+/glDbRDLEYnuwaNFkMG2yKKYH8VokKmlqLgCQWpksKgGs8WBrX3DqGtWwfAtsAja5KFYgq5DBuK7Km0p9hObE774HgDDMPpI3ERfnjiyxvwh8c34Ov3FOHOLWlYmR2JrIRgPHpT7pTbms9Fd2xOg2o4Pa+tW4cfPX0KL+ypHHNRUk1LP37+3Bk8/X4ZjCbb7yoy2Adfur1g1PE0LsIfW5baC6he2VflVAt3qRc+rIRm+D2n9lLg87fkL6r07IXieslY8JGSVpyr7IDF6vy+0No1iH9/WCneXl8QjTV50VCrFNhQGIPvfXI5fvaZ1bhmVQKyEoLx2ZtykT2FAlaVlwI3rkt2+XlXYisxIiIiIiJadHKvKAy6c0sa1Kq5MfA+H21eEot9Z5vQ2qWD3mjBmwdr8NB12S6/TnvvEP78RonYXkHKaLbiWGkbjpW2ISrUFxsLY7A+PxpB/mp3/BOcUtXchxf3VKKubcDh/syEYNy/PcOtbQ3UXgrcsDYJL31ki6V+71g9NhXFQu2lgFUQcLy0Da/ur3aYlPnU1VlTjj2eCoVcjls2JOPv71wCAOw53YgdK+KdXvk0qDfhqZ2XcGF49WxxVRc+e1MuVudGTfJMIs/S9OhwpqID/j5e2FgY45Z2KUQLyVuHasXY/RE9Awb8fecl7DvXjE9sz0RSNFv9EF2puWMQrV22SUSVlxxFabaCcrlMhodvyMEPnz6JPq393E49B1qJjbhtYyrOVnags0+PQb0ZL31Uic/fkj+l17JaBew7a0++uGp5/ITH2rS4QCRFBaBeMwCT2YqDxS24fg0XdZBN+RVtxObSeZu0nVdFYy8MRovHxh2kiUTZiSFQOZHSsnFJHN45VAMAOFPRgU9enTXrLahmQ21rP46VtonJL1JKuQyr86KQFhs0xjNnRq/W4PCZeeuGVMhlMgT6qpCfEob8lInToeazkAA1PrE9E89+UAGrIMAqCNh7pgknLmlw+6ZUbCqKxYDOiNc+rsaREsc0u4gQH3z1rqJxxydu2ZCC46Ua6AxmtPcMYe+ZJlyzypbcrB0yoUEzgHrNADp79bhyzxgymB3OhR+4JhPRMzgWQ+6TlRiMlJhA1Lb2w2wR8H9vlCDIX4UNBTHYWBiDyJDx/64mswV/e7sUhuFCtOhQX3xiR+aox8WG++GebRnT3taNhbHYdXxqqUYjWBhERERERESLTkiAGmvzonGstA1LM8KxJi968ifRuJQKOe69KgO//08xAOBQcQtiwnzhfcWgp1wmQ3SYLxIi/eGtcrwcPV/ViX/svASdwd6KZH1+NJKiA3DoQisaJcVCmm4dXjtQjTc+rkFRehg2FsWiIDUUCrlnBjF7Bgx47UA1jpU6DjSFBKhxz7Z0rMyO9MgA9JYlsfjgRAN6BgzoHzRi39kmZCeG4MWPKlHd3O/w2M1LYrE2f+b341U5UXjvaD2aOwdhMFqw60QD7t46eXx2fdsAnnyzBJ19evE+qyDg7ztLYbFasS4/xpObTTSK0WTBmcoOHCpucWilMKAz4oa1ybO2XURzzZGSVuw8WifeLkwLQ13bAPqHC1Wrmvrwk3+dwsaiWNy5JQ3+PmO3uiBajKRpQUvSwx0KBAJ9VXj0pjz89qVz4gTkXEkMAmzJlJ+6NgtPvGI73z9Z1o41eZ1Yku56WmZxdad4DujnrcSaSYrCZTIZtq+Ixz/fKwMA7D/bhGtWJXjs3J/mlzJJYdBUUhg8KTTQG3ERfmjuGITZIqCsoWdK7xlnOLQRSx3dOn0sWUkhCAv0Rle/reCvtLYbRR7avrlKO2TCb18+J6ZOjeXQhVb8/LOrZ631/HvH6mEcbh2UFBWAZZmL62+0sSgWKbGBeOmjy+L7XTtkwnO7K7D3TBO6+vXQG+1/P6VChtu3ZuCubRkY6B8a93UDfFW4eUMKXt5rW4z1zpFaXG7qQ4NmwGGcYjLr8qM5fjGPjbSWe+I/58Ukwz6tEe8dq8d7x+qRnRiMdfkxSIsLRFSor9iCDgD+s79aXNioVMjx+VvyRo11upOXUo5PXJ2J6Qw/sjCIiIiIiIgWpUduzMEdm1MRHKB2uLCjqSlIDUNBahhKarogwBbFPB4ZgOgwXyRFBSAxKgD9OiM+OGFf9aJUyHD/9kxsXhILmUyGq5bHo14zgIPFrThxqU0ctLMKAs5d7sS5y50I9ldhQ2EM1uZFIzrU1y2FOiazFXtON2Ln0Toxttu2fXJctzoR169J8mjSlJdSgZvWJeO53RUAbAkNZnO1w2q1IH8V7t6SjjV5s5OyI5fJcOvGFDz55kUAwL4zTbhmZcKESU6HL7Ti+Q8rYJL0RQ/yU6Fv0AhBAP75bhksFgEbi2LHfQ2isVgFAW1dOhjN4w/sX8lgtOB0eQeOlbY5FCaOePtwHZZnRXIF6DxhMlvQP2hCWNDsTNwsdBUNPfjXrnLxdn5KKL58RwGMJit2Hq3DnuEWmwKAg8UtqG3tx/cfWO5UagHRQicIAk6VtYu3V+WMPnfLSQrBzRtS8PbhWgBAWmzgjG2fM/JTwrAuPxpHL9qK5Z/fXYGshGD4qF2bZvrotD35YtOSWKc+I1blROKVfVXQDpnQ1W/A+cudWJ4V6do/gBYcs8WKyqZe8XbOHCsMAmzXyc0dgwCAnUdqkRwdgGA3p96azBaH5KSCMVoTjkUmk2FlTqR4LX6yrH3RFQbtPdM0YVEQABhMFrz+cQ0+e1PuDG2VXXe/Hh+fbxZv37YpZU6lYs2U+Ah//L97l+BMRQde2VeFrn5b4U5z56DD45ZmhOOebenIy7QdYwdGvZKjbcvisP9cMzTdOgwZLDhb2eHSdkWH+uKTV49OiKH5JTMhGD95eBUOFrficEmruOABAMobesWFQ2qVAgmR/kiKCoCftxJ7z9jPZ+7Zlu7WFPHxLEkPR0io35Sfz8IgIiIiIiJalOQy2ayt+Fqo7tmWjkt13bBYR0dwSwkAWrt0aO3S4fgVrUhCA9X44q0FSJVMhMhkMiRHByI5OhD3bE3H6Yp2HCpuQWVTn/iYXq0R7x6tx7tH6+GjViAxMgBJ0QG24qPoAMSE+kIud24ATRAEFFd34eW9l9He47jCbHlmBO7elo6IYB+nXmu6NhTG4P3j9ejs0zsU0igVMly9MhE3rE1yeTLG3ZZlRiAxyh8NGi2MZiveO1aP+8eITzaZrXjxo0p8fL5FvM9bpcAjN+QiIyEIv33pPJo6tBAAPLOrHGaLFVuXxc/gv4Tmu3/svDTqM2UqZDLAz9sL2iETzBYr/rWrHN+6fymLSOc47ZAJv37hLJo7B7F1WRw+uSNzUU6ceEpbtw5/eqNEPMbHRfjhC7fmQyGXw0ctx91b07GpKBYvfXRZTC1obNfilX1VeOCarNncdKI5oa5tAO29tvNKH7Vi3ESPm9cnIz0+CD4qpcP58Fxx71UZKKnpwoDOhJ4BA17/uBqfvNr593hz56CY+CCTAduWOneu56VUYMvSWLx7tB6AbTKfhUFU09IvJjyEB3kjPGhmrtFcsSLLXnhT2zqAHz1zCl+4JQ9Zie4rYqpo7BUTZSJDfBA1QeubK63OiRK379zlDhhNlkVT0GswWhwm9reviEeMZDHAgM6Et4YLNY+VtuGq5fEz/rm882id2OIsLTbQoT3dYiOTybAiOxKFaWH44EQD3jteL46RxIT54r7tGS63VVMq5LjvqnT84dULV9wvQ1yErQAkLtwPSsXoawqlUo4l6eEeTYihmRMZ4os7t6Th1o0pKKnuwsHiFlyo6YIgGd40GC2oaupDlWQsErAVpG1bFjdj2zqdlo/cW4mIiIiIiMgtYsP98LW7i3C6ogNWq3XU9w0mK5ratWjpGnS4uB6RmxyCz92cN24PeMC2Qmd9QQzWF8SgtWsQhy604mhJK/p1JvExQwYLKhp7UdHYK96n8pKLK3tGkoriIvygVMjRrzPa+se3DaBeo0V9Wz86eh2jo+PC/XDf9gzkJjsXy+4uSoUcN69PwdPvl4n3LUkPxz1Xpbs04OtJMpkMt21MxR9fsw2mHTjfjGtXJ4qFd9ohE46VtuHAuWa0dunE58WF++Gx2wvEJJZv3b8Uv3v5POo1tnV9z39YCbNFwI6VCTP8L6L56EJ117SLgiKCvbGxMBbrC2IwoDPiJ/86DasgoLKxFweLW7BlycwN9pFrBEHAv3aVi6uG959tRoi/GjeuS57dDVsgBnRG/OHVYgzqbalagX4qfOXOwlGFqdGhvvja3UXYc7oRL31ka8uw/1wzcpJCsCJ7YU/gHylpxX/2VyExKgCP3ZY/ZyeJrIKA947VY9fxevh5eyEpOgCJUcPnRx5IsSC7k5I2YssyIsZtEyaTyZA3w+ebrvD38cL92zPxt3dKAdg+b1fnRiEjPtip50sn4ZdlRLiU8LZlSRzeP9YAqyCgvKEXje1aJET6u7T9tLCUN9hTcuZiWhAApMYG4p5t6fjP/ioIAtA/aMRvXjqPu7am4eqVCdMuYh4ymLH/rD1RxtXCkcQof0SF+EDTMwS90YKSmq5FU3R38EILtEO2cYTwIG/csy19VIvChnatmCLz0t5KfO+Ty2es8Ly9dwiHL7SKt2/blMqidwAqLwVu3pCC9QUx+Li4BWGBaqwviJlysURhWji+eGs+alr7ETOcbB0b7jet4guav5QKOZZmRmBpZgR6Bgw4erEVl5v6HFonS4UGqvHp63PmzXtzbl6hEBERERER0byUmxw6afGMwWRBU7sW9cPFOJpuHfJTw3D9miSnU30AICbMD3dvTcftm1JRXNWFIyWtqGruEwf3pIwmK6qb+1Hd3C/ep1TI4Ofthb4xLu5H+KqVuHVjCrYuixs1SDhT1hVEo7V7EE3tg9i+In5OrhIsTAtDamwgalr6YbYIeOdIHVblROJgcQvOVnaIqxxHrM6NwkPXZju0YvP38cI371uC371SjNpW29/ppb2X0dajw/bl8YgJm3pcMi1sZosVr+y7LN4OC/SGv4+X08+PDffDhsIYZCUGi6lAIQFqXLs6Ee8ftyUTvLq/CkVp4QgJ4KT5XLT/XPOo6P83DtYgMsRnzHY95DyzxYon3ygRE/RUSjm+cmfhhKkM25fH43JTH06X29omPbOrHMnRAQifobS9mbb/bBOe/7ASAFBa240X9lTikRtmvt3IZAb1Jjy18xIuVNsSnfRGC7r69Q7vnSA/FZZlReC+qzI4IeZGVkHAqXJ7G7GV8/xzaVVOJI6VtuFCta2F8NPvleETOzKRmxw67rm8xWpFSU03jl60T3JvX+FaMmRooDeWZ0WIv8u9Z5rw0HXZU/53zDclNV3Ye6YJ4UHeuH1TGny9Ob0nbZ81VwuDAOCaVYlIiPTH394pxYDOBKsg4JV9Vahu6cenr8ueUgKsVRBwvLQNrx6oRp/Wfj3r6rWirZ1YFN49WgfA1k5sMRQGmS1WfHjS3s78mlWJY17v3701DcVVnbBYBVQ39+NkWTtW587MZ/jOw7ViUmNWQvCc3sdnQ1iQN27flOqW11qRHbngi9jJdSEBatywNlm83as1DC8otI1lWqwC7tyc5tLYw2zjmQMRERERERHNKLWXAmlxQUiLC3LL6ykVcizPisDyrAgIgoDufgPqNQOSFKAB9GpHF/+YLcK4RUFKhQwbCmJw66ZUBE6QYDQT5DIZ7tqSPqvbMBmZTIbbNqXidy+fBwAcLG7BweKWUY9Teylwx+ZUXLU8fswVVb7eXvh/9y7B718tFuOZ959txv6zzUiPD8KmwliszI50KCgi+vh8i5hG5a1S4L8fXIFAv+m/b29en4wzFe3Q9AxhyGDBC3sq8aXbC6b9uotVr9aAA+eaERnigzV50W5rzdagGcDLe6vE2z5qJYYMtmSbf7xbhtBAb6S76XizGL3+cbXYulMG4LM35SIlZuI2GjKZDA9dm4Xaln509esxZDDjbztL8e37ly24YpM9pxrx0t7LDvcdKWlDbnIo1uZFz9JWjVbfNoAn3yxBZ59+wsf1DRqx/2wzQq+YCKHpqW7uQ3e/AQDg561EbvL8ntyVyWR44Oos/Nc/T8BgtEDTM4Qn/lMspjZsKIwRiwfbe3Q4dKEVR0paHc7H4yP8kJkQ7PLPvmp5vFgYdLy0DXdumZkJOUEQ0NmnF68tAFs73eToAI+nBGh6dHhlbxXOV3WK95XWduOx2woQv4gTk4wmC6qa7e1csud40URucih++NBK/Pmti6hpsS2COF3ejsZ2LTLGOE+Ry2VieklilD98ve37eW1rP178qNJh0Qtg2yfzx2lTOJHVOZFiYVBxVSf0RvOcTb5zl5NlGnQNfy4H+HphQ2HMmI+LDPHFjpUJYru1Vw9UYWlGuMfbrbV2DeJoaZt4m2lBRLMv2F+N4HQ1itLDZ3tTpmxhf7ITERERERHRoiKTyRAW5I2wIG8sy4wQ7+/TGlCv0dqKhYYLhkYmx7yUkjZj0QFidLSXcmFNXnpablIIMhOCUSlp4TYiJSYAG4tisTonatIVsT5qJb5+dxH+9EYJLtXZVwGP9HJ/8aNKrM6Nwqai2BmZjKG5TTtkwluHasTbN61PdktREGCLqX/oumz8+sVzAICzlR04Xd7O1aRTUNHQg7+8XSrGr58u78BnbsxxmOSaCoPRgr++XQqzxda+MiHSH1+7uwi/fvEcNN06mC1W/N/rF/D9T61A5DxOq9HpTajXaNHVp0dBaiiCZqjd04XqTuw+2SjevmNLmtMpAr7eXvj8LXn45b/PwirYVtm/fbgWd2xO89Tmzrhdx+vx6oFq8bbKSw6jybYvPre7AqmxgTPS9nMkhTE8yBuJUQGjjrOHLrTg3x9WwmS2t3m9bnUiVudGoUEznOCoGUCjRguDyQIAePtwHZZnRYrtPml6Tl6ypwUtz4pcEAVyYUHeeODqTDz9Xjmswz2Cu/oNeOdIHXYeqUNeSigsVgFlkkSXETIZcMuGqU1yZ8QHITHKHw0aLYxmK3Ydr8f1a5PgN8Xjid5oxqHzzejTGqDVGhy+J11wUN82AN1w0emI947VIz7CHxuLYrA2L9rtBUp6oxnvHq3Hh6caRqVvanqG8LPnT+Oha7OxZg4VIc6k6uY+8fcSE+Y7L1ohhgZ649v3L8PL+y6L7b803TpounWTPBOIDPZBYpQ/5HIZTpW1Q7pHBPmrcPeWdKzJi5rS+youwh9x4X5o7hyE0WzF+apOrMlduPuVVRCw67g9LWj78nioJyj0uXFtMo6UtGJAZ0J3vwG7TzbgpvUpTv88o8mC0rpumMxWJET6IyrEd9x0tZHPndcOVIvt1/NSQqdUSElEdCWZIAjC5A9b2IxGM/r6hmZ7M4hmREREAACgo2NglreEaHLcX2kx4n5PCxn3b5prtEMmDA6ZEB7s7bE2YYttv69u7sP/vHQOJrMVft5KrM2LxsaiWCRMYTWzVRBwsaYbh4pbcH44vv1K8RH+2FQUgzUemIyhyc2F/fvFPZX46EyTbXuCvfGzz6xxe1Hfv3aViwlYQX4q/Oyzq6c8AbnYCIKA3Scb8dqBanHieERksA8eu71gSp8PI55+vwyHL9ja0qi9FPjBQysQE+aH9h4dfvbcGbG1ZEyYL77/wPJpFyIBnt/vzRYryup7UN82IBazdvTaU14C/VT45r1LEBfh2ZSIngEDfvj0SfF3WJgWhq/cWejyhON7x+rw+se24j0ZgK/fuwR5k7QcnQ/eOVKLtw7VirfT44PwhVvy8esXz4pt15KiA/D9B5Z7pAhkyGDGiTINDhW3oLbVcV+MCvFBUnQAEqMCoOm2pbWM8FYp8MgNOWMWeJktVvz8uTNiGkpWQjC+ef9SyGWyOfF5P19ZrQK+/uQRsTDym/cuQc4CeA+MaOkcxMHiFhy92DZmO1+pQD8V1ufbzg2nU3R26EILnnm/3OG+8CBvcb8fKfYPGqdQWBAE1LYO4GBxC06UaWAwWqa8LSNGEkw3FcYgOylkWoXrgiDg+CUNXt1fNSr1dHlmBC7WdotFfIAtRemebekLouDMFW8crMa7R20tX7cui8MDV2fN8ha55ujFVjz3QQWMkqJNVykVMly9MhE3rE1yuR3ZlZ/rO4/U4s3h49rSjHB8+Y7CKW8XYCtqbu3WQXDxnxcSoEZooNqjiz/OV3Xif1+7AABQqxT47RfXTXpuf+B8M577oAKArRD4l4+unbTFcINmAIeKW3GstM2hsFDtpUBC1PDCpKgAqLzktsTjtgHUa7SjPkv/61MrkBo7cVojOeJ5Cy1kI/v3VLAwCCwMosWFB0SaT7i/0mLE/Z4WMu7ftBgtxv2+pXMQvVoDMuKD4KV0T8R636ARRy+24lBxK9rGWFErnYzJSgpxW4simths798tnYP4wT9PigUnj91WgOVZEZM8y3U6vQnff+qE2HpwU1EMHroux+0/Z6EZMpjxzPtlOF3RId7nrVJAL5mAVSnlePDabKzNd31V+vHSNvx95yXx9sPX5zi0gahs7MVvXz4npgnkJIXga3cXTXvi1JP7fVefHr975fyYn3NS/j62touJUVMbFB4ZDh5v0s1qFfC7V86LSR/B/ir86OFVU2qtaRUEPPHKeTEBLsjP9lrjTdhP12T/tvGe4+zjBUHAm4dqxZYrAJCdGIzH7yyEt0qJ+rYB/Oy502Ix69UrE3DvVRnO/wMm+dlVzX04WNyCU+XtYjqRs+LC/fDF2/IRE+Y37mMaNAP4yb9Oi5+rD16bhc1L4mb9834+K6vrxm+GW60G+qnwxGPrx02KmM9MwykjB4tbcKm2W0wzkcmAgtQwbCqKRWFamFuKV0xmC771l2PjtgQeEeyvGm7DZCsUig71RWltNw5daEFTx6DLP9fPWym+1sCg0fY+HKOoIyM+CPdvz0RStOuf0YN6E/75bplD2zAASIsNxP07MpESE4jmDi2efPOiw7EiLS4QX7y1YNJChYXk58+fFltpffHW/HmZ6NgzYMClum5Yx1gAoTdZ0NiuRUPbAJo7B0ctkliSHo57rkqfcjLdlZ/rmm4dvvv34wBsBUd/+PIGpwuq+waNDm28pem8U+Hv44WkKH/x/ZYUFYDgADXG+uRUKuUuX/v98t9ncHm4Taqzx2mrVcCPnjmFpg4tAGB9fjQeuTF31ON0elvh7sHiFtS3Tf+Y6Y4ircWI5y20kLEwaJpYGESLCQ+INJ9wf6XFiPs9LWTcv2kx4n7vXoIg4HJTHw6NTIqOMRnj560UB5BHVo5HhviwWMgDZnv//sOrxbhQ3QXANjH/zfuWemx18ZmKdjz55kXx9mdvysXaRdq6wxktnYN48s0StHZJJi1jA/GFW/NR1dyHZ94vd0g72LosDvddleH0hHF7jw4/euaUWGS0Ji8Kn70xd9Tf//ilNvz9HXvxUFigGikxgeJnRGJUgMut5zy137f3DuE3L55DV//oiTSFXIb4CH9oenTiv9nPW4lv3LsEydHOrSAXBAF1bQM4VNyCk2Xt8PVW4o7NaViVEznq97bzaB3ePGhP+fnmfUuRnRQy5X9bn9aWPtSvs62Ajw33w44V8VjlRHvJiVisVrR16YYnIW0tsRo0AzBbBMRH+DkcC+Ij/KBUyB3aAo200BocMiMvOQQbJyhcMFusKK7qxMfnW3Cxtlu8Py85BF+6o9ChBcmeU414ae9l8fZX7ixEUXr4lP+dgK3Q7aWPLotpmtdwRwAAS+NJREFUPlJKhQzZSSHoHTCipXNwVDoXAKzKicRD12XDWzX57/u1A9V4/7gthcNHrcTPPrMamam27ef5jPPMFitKqruw82gd6oYnh69aFo9PXJ05y1vmeZ19Qzhb0QGZTIYV2ZEeKVZpatdi79km1LUNoLlDO6rVliviIvxRmBEOg3504pGvt61AISkqAGFB3g6flzq9GSfLNDh0YXRylwzA5iWxuG1TKgKcLKps0AzgyTdLHFLigvxUuHNLGtbmRzucyw4ZzHj6vTKcqbQX36q85GICycg5cEyY74JLEhpZMPD6gRrx8+6Pj29w+vc8H5nMVrR0DqJeM4Dufj2yEoKnnTw21vnMj585JR5nlmdF4NpViUiNDRzz/FqnN+HEJQ0OFreOeWyaKX7eSqzJjcbGohinCqYvN/Xil/8+C8B2fvXrz69FaKC3Uz9LWugJAN++fymUCrnDeUVzx+giLsCWbBoV6osGjVZMkBuPj1qBpKgApMUF4ZpViUzGnYLZvk4l8iQWBk0TC4NoMeEBkeYT7q+0GHG/p4WM+zctRtzvPWdkMuZgcYs44TYeb5UCiZH+SJRMEseE+XqshdxiMZv7d0lNF37/n2IAtsm3H3565ZTTU5z15BslDhNwO1Yk4K6taQtuwm06uvr0OFzSig9ONDi2OVkWj3uusrc5GatwKMhfBV8ni0QGdCaxzUJkiA9++NDKcQtMrmz5dKVgf5VLxSkKhRwhAd6ICfURC0+iQ32nlQCi6dbhf146h54BAwBboceGwlgkD79+3HBRS3VLH554pRhDw+0ofNRKfP3uIqTFBY372tohE46XtuFgcau4yl0qMz4I9+/IFN8/lY29+J8Xz4mTrTetS8Ztm1Kn/G8bcbG2C0+8Uuxwn9pLgZU5kdhUGIu0uLEnHkdIJ0VHJt8a27UwOdmCRS6TwUetwKDePOHjAv1UWF8QjU2FsYgK9UVr1yAOXWjF0ZJWsbBpRGFaGB67LX9UOp4gCPjf1y6geLhw0d/HCz9+eNWUiiO6+/V49UA1TlzSjPpeXIQfNhXFYq2knabJbEFTx6D4O+roHcKK7EhsLop1unDSaLLgB0+fFFuiLcuMwI8/tw4Az2ecoenR4VBxK46UtI5KtPnOJ5YhMyF4djZsATNbhj8fJAV/je3aCVO1VF5yrMyOtL2HlsRDJpNNa/9u0Azg4/MtOFjc4lAU4KtW4taNKdi6LG7C884jJa14bneFw2fa9uXxuG1T6rjHKEEQ8MHJBrx2oBrjzfIpFXIkRPrZimGHjynxEX5OpXr2aaWFlFp09g0hIthHPJdOmkJx7VRZrQIu1o7dYjgh0h8/fnjVjGzHQjLWefyuE/V4dX+1w+Piwv2wsSgWa/Oi4O/jhcrGXhwsbsXpivYJj8EKuQwxYX5Qq5w/T7ZaBbR16zBkmFp7v6ToAGwqisXqnCj4eo/9vvnf1y6IiVwbCmLw8A2upYD+3+sXcO5y5+QPhO39tyIrAhuLYpGVGCwW9/VqDQ7pSmaLgIRI/+H3lT/Cg7moZbo4DkML2ZwrDHrjjTfw3e9+Fy+88AJWrFjh9PM0Gg2efPJJHDlyBB0dHYiJicHNN9+Mz372s1CpPHeCwcIgWkx4QKT5hPsrLUbc72kh4/5NixH3+5nRoBnAoQutOHFJIxYLTMZLKUdCpD8ign3GjKV3F5kMiAzxFSdRgv1VHku1mWmztX9brFb84J8nxaKSmWrt1ac14FcvnIWmxz6GlBEfhC/cmo9g/8XTuuNKZosV5y/b2seUStrHAMOtwq7LHjNdaaxWY65SyGX4/qeWT5iaY2v9VIMPTjRMK1FiIiovORIjh9Mkxvi+v68XVudEjbnqvqVzEL95+Rz6tLYCAi+lHF+6vQAFqWFj/qy6tn787uXzYoGLWqXA1+4qEosN9EYzGtu1qG8bwOWmPpy73AmzZeLiGZkM2LwkDtesTMBvXj6H7n5bgVJGfBC+df9StxVR7jndiFf3V435d4gN90NipP+o+62CbZJwvBX4nhQZ4iMWx1xpXX40Hrw2G17KsX83Azojfvj0SfQO/11TYwNx1bJ4JEYHIMaJQjKT2YLdJxvx7rE6h+IGlVKONXnR2FQUi5SYAI8dT8rqe/Cbl86Jt7/74EqsK4zl+cwY+geNYlpVaW03yht6x3zcuvxoPHJDzoI5B5jrRgoMRibeGzQDaOnSISLIG+sLY7BakljmzvOZ1q5BvLT3Mi7WdDvcHxfuhzV5UWKSz0hrRpPZipf2XsaBc83iY9UqBR65Psfp1ljl9T14dncFNJO0oRwxUrBhK5IfIwnGYEa9ZkA8Lk0kJEA9nMDnL57rhgSop72fS/9+da0DOF3RLhbPSvmoFXj0prxpp7ItRmPt9zq9Cb975fyoBCzAVrQc5KceM9lQqZA5FJ9Ji5pdZRUEdPYOoUGjtb9/27ViUbSUIAhjnlOolHIsy4xAWlwQkqIDkBDhD7VKgaYOLX7wz5MAbAsLfvqZ1YgNH7+95lg03Tr81z9OTHhOkhjpjw2FMVgjKdylmcVxGFrI5lRh0Llz5/Dwww9Dp9O5VBjU1taGe+65B21tbcjNzUVCQgLOnj2Ljo4OrFq1Ck8//TS8vDzzAcrCIFpMeECk+YT7Ky1G3O9pIeP+TYsR9/uZJQgCOvv0DivG69sGMKBzrlhoJgT6eiFRstI6MToAEVe0ppAyW6xo7hhEQ/sA5DIZEiL9ERs+tYF2d5vp/VsQBPRqjdh/rhnvHq0DYEuD+uXn1iJohlas6/Rm/PO9Sw4rhYP8VPjCrfmLKgViZCK8tLYbRy+2jVmQFxXigy/eVoCEMYo9RgiCgA9PNeKNgzVOJ79IfeqaLGxZGufUY6ebOOMO0lX3Ab4qNHVo8duXzolJNCqlHI/fWYjcSdqDNGgG8NuXz4u/d5WXHEVp4Whs10LTrcN4g70qpS0hY21+NEpquvDR6aZxJ7b8vJX48cOrnG6v4awBnRHHSjU4VNyC5s7Bab+ew6T08Oeql1KOhnYtGiSr8UcK+nzUSiRF+Yufw4lRAVDIZThS0orDJa0TToSHBKixviAGGwpjEBnsM+m2VTT04H9eOjcqyUM1XJhq+/wf/ToWqxUHi1sc2gkBwMrsSNy9NR1hQe79m4znX7vKcLC4FYDt3/7nb23D0ODoifm5wmiyoLFDi5bOQUSF+CIjPsjtRTiCIKCmtR8l1V3ipPVYxQojgvxU2FBo22eiQnzdui3kPu4+nxEEAcXVXXh57+VxiwtDA22fXSPtDUfEhPniS7cXICbMtWIFYHQKSYNmAF39M/+e9ffxGv589UeAj2vnZ119eluhXfvAhIlP6fFB2FQYi5XZkVCrJk8/otHG2+8FQUB1Sz8OFrfgZJlmwr9DQqQ/NhXFYk1eFPy8Z74AxioIqGzoxcELLThd3jFuIbRMBsSE+UEQBHFhwdKMcHz5jsIp/dyRZCUZgOgwX3vr0uHzEd9Z+F2QI47D0EI2ZwqDdu/eje9+97sYHLRd1LlSGPT5z38e+/fvx1e+8hV88YtfBADodDo89thjOHr0KL797W/j4YcfdtemOmBhEC0mPCDSfML9lRYj7ve0kHH/psWI+/3sGykmcZgoaR8QEzHmAoeJ6qgADBnN4vaOlZKhVMgQH+EvTmqPtIVQec3sxIg79m+rVYCmR4fecSZWtXozGiSFHFcWed25JQ3Xr0ma8s+fCqsgYNfxerxxsEac8JfLZLhtUwpSY8ZPrnGWTCZDZIiPW1bcX2lkBX6f1rX9f8hoQYNmYNKJcBmA3JRQbCyMwdKMiHHTVEa9vsE84eT6WPx9vKbdwsRitaKzTw+LC0lCwcG+aOkcREllu1iA6EyqgpRSIcOS9HCUN/SKxT1qlQJfvbMQWYkhTr1Gc4cWv3n5PPoHJ//ZydEB2DhGa43WrkG89NFlXKztHvWcL99egKWZEU7+i1w3UmBxqLgFJy61O7SeG09EsLdDC5tEF9rYDBnMGDKYJ3xfWaxWlFR349CFFhRXdcEqCFDIZShKD8emohjkp4S53DLu3aN1eONgjUvPuVJ8hD8+sSPD6X3DXXR6E77/1AmxHdb2lYm4Z2vqnGjDOWQYPjZotMP/H0Brp05sgQcAOUkhuH97BuIixi9OdJZY0HahBc0dExe0yWUyFKaFYWNRDArTwubE74sm5qnzdZPZij2nG7HzSJ1Tn3GrciLx0HXZ8FY5395yMgM6Ixok7xNpoeRkVF5y8TwzMcofUSG+0IykMGkG0KjRwjiDxbUBvl5Ynx+DjUUxUyqcIkfO7PdDBlvr5kMXWlHT0g/AltK0JjcaG4tikBTlueQ6Vw3qTTheqsHH51vGbJ16pe8/sHzCVqyT0Q6ZoFTI3Pp+JffhOAwtZLNeGNTW1oYnnngCb7/9Nnx8fODn54fOzk6nC4Nqampw/fXXIyEhAbt374ZccrLc0tKC7du3Izo6Gvv27Zvupo6JhUG0mPCASPMJ91dajLjf00LG/ZsWI+73c1e/zoiGMQpN3M1ktqKpQytOyuiNk08MTYVcJkNsuK84WZ4UHTBuiwh3CQu37d9dnc7t3wIkK8HbtGJiizOTZWOJCPbGzz6zGl7K2VkpfqmuG399u9Tp9nWukq64H1mFHODr/Apk8fctSdBqbNdOuPJ7qkID1dgwnKQSPkYCykIy1ud6r9aABo0Wg/rR+4IgCKho6MXJsvGLX3zUCnztriVIj3dtgqq1axC/eemc2K4KsK2Kjw3zEz8HcpJCJk1tKq4aTrbotY2PXrUsHp+4OtOlbZmOIYMZ5fU90I/z+wn2VyMxyn9G0wh6tQa0dukQG+aLoGm2Cqxs7MWlum6nEmak/LyVuH1TKjYtiZ214pIzFe148s2L4m2lQo6ESD+HljERwT7w4KFm+Dg6OKXCBrlMhm3L4nDLxpRx9x+rVYDeOEaLGgB1bQM4VNyCs5Ud47YilCZAJUUFoCA1DCEBi7e95Hzk6fP1vkEjzl3usH0GtNmOxdJkE4Vchru2pmPHivgZKbIYKazrHuezSKmQIz7CD1EhE7c9tFitaOseckhna2gfwJDBPee6Qf4q8fwnJTYQ+SmhcyIxc6Fwdb9v6RzEgM6I5JhAqGd4MYIrBEFAvWYAFQ294n7Z1uWYppiXHIJv3Lt01raRPI/jMLSQzXph0He+8x28+eabyM/Pxy9+8Qv87Gc/w8mTJ50uDHruuefw85//HA8++CC+973vjfr+nXfeiZKSErz33ntIT0+f7uaOwsIgWkx4QKT5hPsrLUbc72kh4/5NixH3e5KyCgI6eoYcWhnVtw1gUD96QlIqItgbiVEBEASgvm0AXf36CR+/kKlVCiRF+iM5JhDblsUhcpZbs3T36/Hnty6Kq6gXC3EiPCoARenhyE8JdTlJZb6a6uf6kMGMU+XtOFjc4rC/+KqV+Ma9S5AyxbSpngEDDhW3IMDXC4nRAYiP8J/ShJ3JbMWpcg2sVmBdQTTkcyQBYCHqGzSKSWjjFRYG+6uxoTAG/j6z347kT2+U4Gxlx2xvxqRGWrqEB/mgtLbbIT3I38cLt29Oxbq8aLR22RNPGoaLNFxJPVF52Vry5SaFIjE6ANGhPkwFmudm+nzdbLGibXg/bO8ZwpKM8CkfA+YaqyCgo3cI9W0DaOpwvRjZz8druBjIf9pFmTSxxXSdqjea0dRuaydrNFuwsTB2ThxfyXMW0/5Ni890CoPcknGWmpqKX//617j55psd0n6cVVVVBQDIyMgY9/VLSkpQWVnpkcIgIiIiIiIiIiJPk8tkiAr1RVSoL1blRAGwrWrt7jeIRUJNHVpb8ctw8s9YKRnaIZNDckK9RgtNt242/kluEeSvsq1KH6MOwUupQHyEn9g2LTLEZ04VLIQGeuPb9y/D7pMNKKvvgRvW38FsEdDcqXXbivsrBQ//vl35NSoUcsSF+4npRdFhvpwId5GPWolNRbHYVBSLpg4tjpS0oldrxA1rkxA/jVZHIQFq3LwhZdrb56WUY11+zLRfhyYX5KdCQWoYClLDZntTnPLQddkIDFCjtKYLHU4m9XiaQi5DTJgfkqL9xfZyCZH+YkuXpnYtXvyoEuUNvQBsx83nPqjA8x9UYKqf0ikxgdhUFINVOVHwUbN1DE2dUiFHfKQ/4idIc5uv5DIZokJ8ERViP9clmm3eKiXS44NcTmYkIlpo3HIG++ijj07r+e3t7QCAyMjIMb8fEWHrZ93Z2TmtnzMelUo5reoqovmI+zzNJ9xfaTHifk8LGfdvWoy439NEIiOB7PQIpx8fASAlMdThPp3ehNqWflQ396K6qQ/VTb3o7J0bE7hSfr4qpMUF2f6LD0ZqXBBCA71ne7Om7dO3FLj19axWAZpuncPfs661H0YX2675+6qQFh+EtDjb7zotLgghC+D3PRdM53M9IiIAS3NZhEPzQwSAb9xvO+b0aQ2oae5DTXMfqpttn019Wudao02VTCZDTLgf0uKDh48dQUiKDoRqgmSsiIgALMmNxtGSVvzznYtiQdN4RUE+auWYxak+3l5YWxCDHasSkRLLCeWFjufrtBhxv6eFjPs3kaM5Udo+NGQ7Mff2HntgYuR+nW7+rn4jIiIiIiIiIvIUX28v5KWGIW+eJFDQxORy20R4TLgfNhTFzfbmEBEBAIL81ViaFYmlWWMv8J1LZDIZ1hfGYnl2JN7cX4U3DlRBb7QgKtRXLJhMiw9CalwQQgJYMElEREREC9ucKAxSKGzV/bJJMoytVtf6kTrLaDSjr2/uraIj8gT21qT5hPsrLUbc72kh4/5NixH3e1rIuH/TYsT9nhaj+b7fb18Wh21LYmEwWUa1ATPrTejQm2Zpy2gumO/7N9FUcL+nhYz7Ny1k00nCmhPNwH18fAAAer1+zO+P3O/r6ztj20RERERERERERERERPOfXC4bVRRERERERLRYzInCoMhIW/RoZ2fnmN/v6OhweBwREREREREREREREREREREREU1sThQGZWRkAACqqqrG/H51dTUAIDMzc8a2iYiIiIiIiIiIiIiIiIiIiIhoPpsThUEbN24EAOzfvx9Wq9Xhey0tLSgrK0NcXBzS09NnY/OIiIiIiIiIiIiIiIiIiIiIiOadGS8MamlpQXV1Nbq7u8X7EhISsHHjRtTU1OCPf/yjeL9Op8N//dd/wWKx4NOf/vRMbyoRERERERERERERERERERER0bw144VB3/72t3H99dfjhRdecLj/hz/8ISIiIvDXv/4VN910Ex5//HFcffXVOHLkCDZt2oT77rtvpjeViIiIiIiIiIiIiIiIiIiIiGjemhOtxABbatCrr76K22+/Hd3d3Thw4ACCgoLwjW98A3/605+gVCpnexOJiIiIiIiIiIiIiIiIiIiIiOYNj1TbPP/881P6XkxMDH75y196YpOIiIiIiIiIiIiIiIiIiIiIiBaVOZMYRERERERERERERERERERERERE7sPCICIiIiIiIiIiIiIiIiIiIiKiBYiFQURERERERERERERERERERERECxALg4iIiIiIiIiIiIiIiIiIiIiIFiAWBhERERERERERERERERERERERLUAsDCIiIiIiIiIiIiIiIiIiIiIiWoBYGEREREREREREREREREREREREtACxMIiIiIiIiIiIiIiIiIiIiIiIaAGSCYIgzPZGzDarVYDZbJntzSCaESqVEgBgNJpneUuIJsf9lRYj7ve0kHH/psWI+z0tZNy/aTHifk+LEfd7Wsi4f9NixP2eFjLu37SQjezfU8HCICIiIiIiIiIiIiIiIiIiIiKiBYitxIiIiIiIiIiIiIiIiIiIiIiIFiAWBhERERERERERERERERERERERLUAsDCIiIiIiIiIiIiIiIiIiIiIiWoBYGEREREREREREREREREREREREtACxMIiIiIiIiIiIiIiIiIiIiIiIaAFiYRARERERERERERERERERERER0QLEwiAiIiIiIiIiIiIiIiIiIiIiogWIhUFERERERERERERERERERERERAsQC4OIiIiIiIiIiIiIiIiIiIiIiBYgFgYRERERERERERERERERERERES1ALAwiIiIiIiIiIiIiIiIiIiIiIlqAWBhERERERERERERERERERERERLQAsTCIiIiIiIiIiIiIiIiIiIiIiGgBYmEQEREREREREREREREREREREdECxMIgIiIiIiIiIiIiIiL6/+3deVRVVf/H8c8VQUBMElFUnE0MUUIRnDGHHNHUxymkzEwth5+mlpaVj0OmWZlm5ZSWmlqmpjmA4YxTKg5hDjkkaiqITAEy3d8frnsf6SKhMii+X2uxFpz93efuzToc9jnne/YGAAAAUAiRGAQAAAAAAAAAAAAAAAAUQiQGAQAAAAAAAAAAAAAAAIUQiUEAAAAAAAAAAAAAAABAIURiEAAAAAAAAAAAAJBDRqOxoJsAAACQY4U2MSgwMFBubm5avXp1QTcFyFX79++Xm5tbjr7u9/h3c3OTu7t7Lrccj5vVq1ebj8WmTZsqIyMj2/igoCBz/NixY/OplUD+OX36tPkYnzdvXkE3B7gnnNOBrHHdicfFgx7rpuvYfv365W7DgAfEGB2Pk5s3b2rmzJnq2rWrvL29VadOHbVo0UIjRozQ9u3bC7p5QK5JT0/X2rVrNWjQIDVt2lQeHh7y9vZW7969tWDBAsXHxz/wZ4SGhmrAgAG50Frg3pnu0Xh5eenSpUvZxrq7u8vNzS2fWgY8uLs9A3V3d1e9evXUsWNHTZo0SWfPni3opgKPnKIF3QAA98fe3l6tWrXKNqZSpUr51Boge5GRkTp06JAaNGhw15iNGzfmY4uA/Gd6kFasWDH98MMPevXVV2UwGAq4VcC945wOAAAKC8boeFz89ttv6t+/v2JjY1WhQgU988wzsrW11ZUrV7R582Zt2rRJ/v7+mj59uooUKbTvEuMxEBERoddff12nT5+WlZWV6tSpo3r16unGjRs6ceKEwsLCtHjxYs2aNUv16tW7r8+4du2a+vfvrwoVKuRy64F7k5iYqHfffVeLFi0q6KYAue6fz0DT09MVHx+vkydPaunSpfr+++81ceJEde3atQBbCTxaSAwCHlFPPvmkZsyYUdDNAP7VE088obi4OAUFBd31IXJiYqJ27Ngha2trpaam5nMLgbyXlpamdevWycXFRQ0aNND69eu1Z88eNWnSpKCbBtwTzukAAKCwYIyOx0VaWpr+7//+T3FxcZo8ebK6d++eKfnn5MmTGjRokNavXy8PDw9md8Mj69q1a+rdu7eioqLUoUMHjR07VmXLljWXx8fHa8GCBZo7d65efPFFLVy4UL6+vvf8OSwhhofJnj179MMPP6hHjx4F3RQgV93tGajRaNSKFSs0efJkjR8/Xi4uLmrUqFEBtBB49JD+DwDIU02bNlWxYsUUHBx81wvnbdu2KSkpSc2aNcvn1gH5Y/v27bpx44YaN26s9u3bS5JWrlxZwK0C7h3ndAAAUFgwRsfj4tChQ7p06ZIaN26sHj16WMwIVKtWLb3//vuSpO+//74gmgjkirfeektRUVHq06ePPv3000xJQZJUokQJjRw5Uu+++65SU1M1btw4JSQkFFBrgQfn4uIiSZo2bZquXbtWwK0B8ofBYFCfPn00YsQIpaWladq0aSRsAjn0WCUGJSUlacGCBerZs6caNGggDw8PNWnSREOHDtWxY8cyxZrWMJw2bZrOnDmj119/XT4+PvL09FTv3r31yy+/FFAvgPtz9uxZjRkzxryucsuWLTV58mTduHHjrnWioqL01ltvydfXV15eXgoMDNSOHTvysdUoDOzt7dW8eXNdu3ZNYWFhWcZs3LhR9vb2atGihUVZWlqaVqxYocDAQPn6+qp27dry9fXVK6+8ol27dmWKvfPcvWjRIjVs2FDPPPOMBg8enBddA3JszZo1kqS2bduqefPmcnR0VEhIiCIjIy1iW7ZsKW9vbyUmJmrixIlq3LixvLy81KNHD/38888W8YGBgXJzc9OZM2cUEBAgDw8PNW/e3OLvA8gN+XVOj4qKUu3ateXl5aWkpCSL/aSmpqpRo0by8vJSYmJirvUPeFCzZ8+Wm5ubvvjiC4uygwcPys3NTYGBgeZtly5dkpubm4YPH66//vpLY8aMUaNGjVS3bl09//zz+uGHH/Kz+UCO3euxDjyM7mWM7ubmJnd39yz3069fP7m5uWn//v2ZticmJurzzz9X27ZtVbduXbVq1Uqff/65IiIi5ObmprFjx+Z+p4AsmO79ZbdMXuPGjdWpUyeLGbNiY2P10Ucf6bnnnlOdOnXUsGFDDR8+XCdPnrTYh+naNDo6Wp999pn8/Pzk6ekpf39/LVu2TBkZGbnbMeAOR48e1d69e1WqVCmNGzcu29iAgAB5eXnp8uXL+umnnzKV7dmzR4MHDzbfi+nSpYu++eYbpaSkSLo9BvLz85MkXb58mTEPClTTpk3VunVrxcfH6913381xvaSkJH3xxRfy9/dX3bp1Va9ePQUEBFjcd5w+fbrc3Nz0+eefZ7mfpUuXys3NTZMnT36gfgD34+WXX1bZsmX1+++/68iRI+btaWlpWrZsmbp16yYvLy/Vq1dPffv2VXBw8F33tWnTJr344ovy9fWVt7e3evToobVr1zJ2QaHz2CQGJScnKyAgQB999JGuXbsmb29vNWnSRAaDQVu2bNELL7yg48ePW9Q7efKkevbsqePHj6t+/fqqXr26wsLCNGTIEAUFBRVAT4B7t3v3bnXv3l3r1q2Tk5OTWrZsKRsbGy1ZskTdu3dXRESERR2j0aiAgAAFBQXJy8tLdevW1aFDhzRw4EAtW7asAHqBR5np7cuszpsJCQnauXOnWrZsKVtb20xlRqNRQ4YM0fvvv68zZ87I09NTfn5+cnBw0O7du/Xqq69mmai5detWTZs2TU8//bQ8PDxUqVKlvOkYkAPR0dHasWOHnJyc1LRpU1lbW6tjx45KS0vTjz/+mGWdjIwMDRo0SCtXrpSbm5vq16+v33//XaNGjdInn3ySZZ2hQ4cqIiJCLVq0UJEiRe764AJ4UPlxTi9durSaNWumxMTELM/zO3fuVHR0tNq1ayd7e/s86CWQv65evaoePXpo586dqlu3rjw8PHTy5EmNHz9eixYtKujmAUChcz9j9HuRlJSk/v37a/bs2UpISFCLFi3k5OSk2bNna9SoUbnQAyDn3NzcJN2+P/jVV19lOUOKra2tPv74Y73zzjvmbVeuXFH37t21YMECpaWlqXnz5qpSpYqCg4PVo0cPbdu2LcvPe/vtt/XFF1/I1dVVjRs31qVLlzRx4kSNGTMmbzoISObrxnbt2qlYsWL/Gt+9e3dJ0vr1683b5s6dq/79+2vnzp2qXr26GjdurGvXrumDDz7QyJEjlZGRITc3N7Vp00bS7Rdn/P391bhx4zzoEZAzEyZMUMmSJbVjxw6tXbv2X+Ojo6PVo0cPffbZZ4qMjFSzZs3k5eWlY8eOadSoUZkS67p06SLpdtJEVkyJRJ07d37wjgD3qGjRoubZyvfu3Svp9ouEgwcP1sSJE3Xp0iXVr1/ffHwPGzZMn376qcV+3nvvPY0YMUJhYWHy8PCQt7e3/vjjD7311lv64IMP8rVPQF4rWtANyC9Lly5VeHi42rZtq08++URFi97uekpKikaPHq2goCCtXLlSderUyVRvz5496tatmyZMmGAeUM6cOVNffvmlFi5cqLZt2+Z7X4B7ER0drTfeeEOpqan6/PPPzRcuRqNRX331lWbOnKkxY8ZoxYoVmeplZGQoJSVF69evV8WKFSVJBw4c0IABA/Thhx/Kz89Prq6u+d4fPJpatGghW1tbBQcHW7y188svvyglJUXt27fX33//nals8+bN2r59u7y8vLR48WLzQ+aMjAx9+OGH+uabb7Rs2TK1bt06U70LFy7onXfe0YsvvmiOBwrKunXrlJqaqs6dO5vHH927d9eyZcv0/fffa+DAgRZTuf/9998KDw/XkiVLVK9ePUnS77//rpdeeknz5s1T69atVbdu3Ux10tLStGHDBpUoUUIZGRkW+wRyS36d0//zn/9o27Zt+umnn+Tv759pX6a3Ort27ZpX3QTy1dGjR9WsWTN98skneuKJJyRJP/zwg8aPH6+FCxfq5ZdfLuAWAkDhcj9j9Hsxd+5chYWFqWnTppo9e7Y5kXnjxo0kBiHfVa9eXd26ddPq1av16aefas6cOWrQoIH5y9PTU9bW1hb1Ro8erYiICL366qsaOXKkrKysJEmhoaF67bXXNGbMGAUFBcnJySlTvV27dmW6B3n58mUFBgbq559/Vps2bdSuXbu87zQeO0ePHpUkeXh45Cjex8dH0u17LZJ0/PhxzZw5UyVLltTChQvN+4mPj1dgYKB++eUXbd68WR06dFDdunW1ZcsWPfnkk5oxY0Ye9AbIOWdnZ40bN05jx47V1KlT1aRJEzk7O981/r333tOZM2fUpk0bTZ8+3TxG+fPPP/XKK69o9erVqlu3rvr06SM3NzfVqlVLJ0+e1OnTp1WzZk3zfq5cuaIjR46oatWqFvcogfxSrVo1SdL58+clSXPmzNGuXbvUpEkTffLJJ3J0dJR0e7bml19+WV999ZUaNGigpk2bSpKCg4O1cuVKubq6avHixeZnoVevXlWvXr20ZMkS+fv7y9PTM/87B+SBx+aJka2trfz8/DRq1CjzBb8k2djYqFu3bpKkv/76y6JesWLF9M4772TKMg8ICJAknTlzJo9bDdydaarSu32ZprBetWqVYmNj1bdvX/MFuXR7+uDXXntNHh4eCgsLy3I5kDfeeMP8j1C6fcEUEBCglJSUXHmDDo+P4sWLq3nz5rpy5YrF0o2bNm1SiRIl1Lx5c4t6GRkZatmypUaPHp1p5okiRYqoR48ekm5fhPyTjY2NevfunSkeKCirV6+WJPN4Q5Jq166tWrVq6fLly9q9e3eW9YYMGWJOCpKkp59+WkOGDJHRaNTKlSst4rt27aoSJUpI4phH3sqvc7qfn5+cnJy0Z88eRUVFmbfHxsZq69atqlixoho0aJDb3QMKzLvvvmtOCpJu/9+ws7NTZGSkbt68WYAtA4DC537H6DmRnp6u5cuXy9raWtOmTcs0u2GHDh0yfSaQXyZNmqRhw4bJzs5OKSkpCg0N1cyZMxUQECBfX1+9+eabunjxojn+yJEjOnTokGrXrq1Ro0aZk4IkqUmTJgoICFB8fLxWrVpl8Vm9evXKdA+yQoUKevvttyXJ4sVEILdER0dLuj37bE6Y4pKTkxUbG6uVK1cqIyNDw4YNy5RcVKJECY0aNUpVq1bN8h4k8DDo2rWrmjdvrpiYGP33v/+9a9ylS5e0ZcsWOTo6WoxRKleubJ4dZeHChebtptmANm7cmGlfGzZskNFoZLYgFCjTPZSbN28qJSVFS5cuVbFixTR9+nRzUpAkubq6mmdFvHNW5uXLl0uSxo8fn+lZqIuLi4YMGaKaNWuak46AwuCxeWrUt29fzZs3T5UrVzZvi4uL08GDB7Vz505JMq8Te6caNWrIwcEh07bSpUvLYDAoKSkpbxsNZMM0VendvkwXN6YEIV9f3yz3Y8qM/fXXXzNtt7KyMi8Vcqdnn31WknTw4MFc6wseD6bjafPmzeZtsbGxCg0NVevWrWVjY2NRp2PHjvryyy/l7e1t3paYmKhjx46Zl7BJTU21qFetWrUs9wfkt/DwcJ06dUq1a9fO9FaN9L9pq7NK8pFuH///1KpVK0mW52xJqlWr1oM2F8ix/DinW1tbq3PnzkpPT8+0zv2GDRuUmpqq559/XgaDIdf7BhQER0fHTNeq0u3xeKlSpSSJa08AyEUPMkbP6f5jYmLk5eWV5QNqZktBQShatKiGDh2q3bt3a8aMGeratasqVKgg6faMtT/99JM6deqkkJAQSf+7n+jj45PlmNu0dMeBAwcsyjp06GCxrXnz5rK2ttbBgweZ1Rl5wnRc3flSeHbujDMajeZj2XTv+07NmjXT5s2bNWDAgFxoKZA3Jk2aJAcHB23ZssUiicfE9EynefPmKl68uEW5j4+PnJ2dFRERoatXr0qSOnXqpCJFilgsJ7Zx40YZDAaLGZ6B/GR6rm8wGBQeHq74+HjVqFEjyzF4o0aNVLRoUR06dEjp6ekyGo369ddfZW1tbX5OeqeePXtq/fr1ev755/O6G0C+eWyWEpOk69eva9myZdq/f7/Onz+vmJgYScr2gYLpzfs7GQwGFSlSROnp6XnVVOBf5XSqUtNMWK+99lqO4kzKli2b5YWUi4uLpNt/T8C9uHPpmTfffFOStGXLFqWmpmZ508gkLi5OK1as0K5du3Tu3DnzrBHZnbtLliyZu40H7pPpTeSoqCgFBgZmKjMts7R9+3Zdu3ZNZcuWNZfZ2NiYz7d3KleunKSsz8Ec98hP+XVO79atmxYtWqR169apX79+kqS1a9fKYDBwYY5CJavrTknmt/N5gAYAued+x+g5Zbq/Ur58+SzLTckYQEFwcHAwv1Qo3Z49Yvv27Vq0aJEuXbqk0aNHKyQkxHwcL1q0KNOb9f9kenB8p38mO0u3r3GdnJx09epVxcTEmJOfgdxStmxZnT17NsczbUZGRkqS7Ozs5OjoaP45q3sxwKPAxcVFb775pt577z1NmjRJDRs2tDjXmu4nZjcWcXV1VWRkpCIjI+Xi4qKyZcuqUaNGCg0N1YkTJ+Tu7q5z587pxIkTqlevXqZZVoD8FhsbK+n2fXHT2CU8PFxubm53rZOWlmaul5qaqnLlymW5pCpQGBX6xCDTQ4Z9+/Zp8ODBSkpKUvny5eXj46Nq1arJw8NDRYsW1eDBg7OtDzyqTAlsrVq1yjQ15D/9c6aJO5fPywr/KHGv7O3t5efnp6CgIIWHh6t27dratGmTHB0d1bhx4yzrnD59Wi+99JKio6NVunRp1alTR9WrV5e7u7sqV65sfpvzn1hGCQ+DlJQU8ywn165d07Vr17KMS0tL06pVqzRkyBDztjunab+T0WiUlPUxzpgF+Sm/zuk1a9ZUnTp1dPz4cZ09e1ZWVlY6evSofHx85OrqmtfdBHIsJ+fg7JJ7OIfjUfGgxzpQ0B5kjH43/3xxMC0tTdLd/xZMY3ogv5w5c0aRkZHy9fW1uNZ0dXVV37591aVLF/3nP//RhQsXtHXrVvPx+8wzz2T70DerBJ/7uZ4FHtTTTz+tPXv26MiRI+rUqdO/xpuWxTbNHGc6dwOPsl69emnjxo3at2+fJk2apE8//fSe92Ea19w5E3Tnzp0VGhqqTZs2yd3d3TwjUZcuXXKn4cB9OnnypCTJzc3NPHZxdXWVl5fXv9Zl8g88jh7pxKBjx45p/vz5cnNz09ChQzOVmZYhKF68uIxGo8aPH6+kpCRNnjxZPXr0yBS7devWfGszkN/KlCmjCxcuqH///pmW7vg3prck/uny5cuSdF9vzQHt2rVTUFCQgoODVb58ee3bt0/du3e/6zS/kyZNUnR0tIYMGaJhw4ZlehBx6tSp/Go2cF9CQkIUExOjRo0aafHixVnGbNmyRUOHDtWqVav02muvmW+QJiUlKS4uzrxOsolpPXvTzEFAQcqvc3q3bt10/PhxBQcHmx8ydOvWLXc7A2Qjp9ed0v+SJrK6wRQXF5fHLQUeDMc6Hgf3O0Y3GAzmJQf+mSAXHx+f6WfT/ZJ/zsxsktUMK0BeGjp0qC5cuKA1a9bI3d09y5gSJUroueee07x58xQbGytnZ2dJkp+fn15//fV7+rxr165ZJAylpKToxo0bsre3l6Oj4331A8iOv7+/Fi5cqA0bNmjUqFGys7PLNn7VqlWSbic8SJKzs7MuX76sa9euWcz4lpaWppUrV6pq1ap3fREGeFhMnjxZnTt31saNG9WxY8dMZWXKlJF0e7a4uzGV3bkUU5s2bTRhwgQFBQVp1KhR2rhxo6ytrc3LzAMFITk5Wfv27ZN0e5kw08yfFStWzNFqKykpKbK2tlZUVJTS0tIs7mfevHlTQUFBcnNzy1GiEfAoeKTT82/evKng4GAdPnzYosyU1FCmTBlFR0crIiJCzs7OFklBkhQaGiqJt9pQOJmSgXbu3Jll+bhx49S9e3fzGuImCQkJOnr0qEV8UFCQJMnX1zeXW4rHwbPPPis7OzsFBQUpJCREaWlp2V5AmN7eGTx4sMXNV87deNitWbNGkiwuwu/k5+cnR0dHXblyxeI8vWPHDot407m6SZMmudhS4P7k1zm9U6dOKlasmLZs2aKtW7fK3t5ebdu2zcWeANnL6XWn9L+kiayS7LMaWwMPE451PA7ud4xumoHZtAyqSUJCgv74449M2zw8PFS8eHEdOXJE0dHRFvvftm3bA/UBuFemh1nLli3LNu78+fOSpBo1amS6n5jVLFcrVqxQp06dNGfOHIuyrK5lt2/frrS0NJIqkGeefvpptW7dWtHR0Zo0aVK2satXr1ZoaKjKlCljTgwy/Z1kdQ/98OHDmjhxojmhlNk+8TCrWLGi3njjDUnShAkTMp3D69evL4PBoF27dpmTKO60b98+RUdHq3r16nJycjJvL168uFq3bq0///xTQUFBOnv2rPz8/FSyZMm87xBwF0uXLlVsbKzc3d3l4eGhOnXqyNbWVsePH89yDH7q1Cm1adNGw4YNk9FolI2NjTw8PJSamqq9e/daxG/fvl3vv/++1q1blx/dAfLFI50Y5OnpKWtra/366686ffq0efuOHTt06dIllShRQrVr15ajo6NsbW0VFRWV6QaV0WjUjz/+qOXLl0uSbt26le99APJar169ZGdnp6+//lpbtmzJVLZ69WqtWbNGp0+flqenp0Xdd999N9M/0JCQEH3//fdycHC46xJOQHbs7OzUvHlznT9/XgsXLpSzs3O2SWamdb3/mbi2fft2zZ49WxLnbjycrl+/rt27d8va2lrPPffcXeNsbGzMiRQrVqzIVPbxxx8rIiLC/PPx48c1Z84cWVtbq0+fPnnTcOAe5Nc5/YknnlCbNm0UHh6uI0eOqF27dtkujwrktpxed0r/W4ogODg40/I0YWFh//owDihoHOso7B5kjG465pcsWWKOS0lJ0fvvv2+eUcvE1tZWvXr1Umpqqt5++20lJyeby3bu3GneJw+WkV8GDBigYsWKadWqVZoyZYrFLFepqamaN2+efvnlFz311FNq1qyZGjZsqFq1aiksLEyffvpppmWWTpw4oU8//VRnzpyRm5ubxefNnz9fv/32m/nniIgITZ06VZL04osv5lEvAWnixIlycXHRjz/+qJEjR1okMN+6dUtffvmlxo8fLysrK02bNs08U3OfPn1kMBg0e/bsTAmfsbGx+vDDDyX9b3Yh0xJLf//9N8tD4qHUt29f1a9fX5GRkZlewKpYsaJ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      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 1155
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(20,4),); River_Arno.loc['2006'][\"Hydrometry_Nave_di_Rosano\"].plot(); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "COj3ENarYnjP"
   },
   "source": [
    "We could replace some zero's with the average, or use a better technique: interpolation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "Un39QVNpYnjP"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"Hydrometry_Nave_di_Rosano\"]=River_Arno[\"Hydrometry_Nave_di_Rosano\"].interpolate(method=\"linear\", )#limit_direction=\"both\"\n",
    "River_Arno[\"Hydrometry_Nave_di_Rosano\"]= River_Arno[\"Hydrometry_Nave_di_Rosano\"].replace(0, 1.52) # np.nan ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "oQdnwiLRYnjO",
    "outputId": "3df07e9e-7855-4cf2-d88d-55f4d28f9b7d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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P2UA2jaDiEUMj84w262yNlDW6dd2qJoXNkPa8XHmQaLE3EkmFpqsGXOUAVOPYUH6tjqXmbzzFylC8aOT4RqL2RP71cojxZgAAAAAAlC2dtfXikTEZoYCODaUYLQ/45MDRcR0dTOqiM1fP+pg1hSDRYYJEWComR5tVdzV9c8yUJI0l5/5jv+N6vm8GBwIBxSIGo818ZDueQsGFbyRqT+TH1AyN0ZgAIK/WxrylqBQkGuZn4fFODBJJUmtTvsluNkcGkupuj5d1/FAwqPVrmrXn0HDF55azHVmLPEjU1RKlkQhLxrFC6I1wOYqKv+vFwmbpto6W/O8OA4xGBgAAAACgbHsPjchxPb36FavkuJ76uPgQ8MWjzx1VMBDQ+ZtWzfqYaNhQR3OYRiIsHcWNWrPKkE9zLD9eZHSeIFG+kcj/ZRqLGIw281E9RtCVo605vxkwyFXFAArsFd1IxMbo8ZIZW7ETgkQtTZZGZxlt5nqejg4m1dMRK/s5Np7UopePjStVYTg5ay/u0WaS1NES0eBoRo7LFUZY/I4N5UebjRMkQkEqYysgKRKe/Fnb3px/vSRIBAAAAABA+Z57aVihYECvO2eNpMkR8wCq53meHnvumM48tU1NUXPOx67pbNKhPoJEWCKKjUSGUV3jQ3O8ECSamPuP/fUamRULG4w285HteA1p/yiOJxhkMwBAwUoMEsUipmJhQ32MNpsilbEVsaaGdVriloZnGW02OJpW1nbVXVGQqFWeJ+0/PFrRuWVz7uJvJGqNyvU8DY0R1sXiVxptNs9FClg5kmlbkbChYGDyd5RE1JRpBPndAQAAAACACuw+MKTTepp1SndCknRkYOEDDcBy89LRMfUNp/XqV8zeRlS0tjOuIwNJua63AGc2aXHvYGDRytmOpOobiRKlINHcf+yvV0AlHjGUopHIN7bjKtSATftEzJQRCrDJCaDELgZdV9BoM0nqbI1ogEaiKVIzNhKFNTKRkedNf8PdW7iSpqe9/CDR+jXNCgSkPQeHKzq3rO3IXORBog5G5mGJsB231DDDaDMUzdRKFwgE1N4coc0UAAAAAIAypbO2Xjgypk0ntyoaNtSWCOtwP41EQK227TqmUDCgV53RNe9j13TGZTuuji3wWMHFvYOBRStXHG1mVDeWozmWr+ia66phz/Pq10gUMTVBkMg3juM2ZNM+EAioLRHWIEEiAAV2IZG9khqJJKmzJcps6hOkMraiJ2wit8Yt2Y6n5AyjyIqVvN0d8bKfIxo2dPKqhPYcHKno3HK2K6vK91ALpYuReVgi+kfS8rz8hQJjKRqJkJdM24pFjGm3tyfCNBIBAAAAAFCmvQdH5HqeXnFymySppyOm3kEaiYBaeJ6nbc8d0yvLGGsmSWu78nsWCz3ebGXtssE3uRobHyKWIcsManSOIJFT3AyuwxX7sYihJKPNfOO4nkLBxvw4aU9ENMRmAICClTjaTJI6W/KNRDM17axErucpnXGmBYmam/KNiDONN+sdTCoWNkph53JtOKlF+w6PlNZeObI5R6a5uNdoe3NEAUn9jMzDIndsKB8CPH1ti1IZp/R7Cla2mRqJJKmjOVJqsAIAAAAAAHN77sCwQsGANqxtkST1tOdHLPF36Mq4rlfR34+xvL3YO6b+kbQu2DT/WDNJWlO4+Plw/3g9T2uaxb2DgUUrm8uPNgub1V9N3xyz5hxtNrkZ7H/TTSxiKJmxeaHzSb1G0JWjrZlGIgCTbKfYSLTCRpu1RJS1XY0y1keSlM448qQZGonCkqSR8emvG0cGJtTTEVMgUNnaOXt9u7I5V4/tPlb2x+QbiRb323AjFFRbc5hGIix6R4fyYbfT1zRLksZT/BzEHI1EzWGNjGf54x0AAAAAAGXYfWBIp/U0K2zl94N7OmNKZ50ZL9TE7O56YK/+/Ms/177DlTXbY3l67Ln8WLPzyhhrJklhK6TOlogO9dNIhCWgOBJkpj/OlisRs+bc8JzcDK5DI1HYkO14ynLFsi/qNYKuHO2JiIbGMnIJhQHQCm4kao1Koj2mKJ2d+X1KS6GRaGSGIPORwaS622MVP9dZ6zvU0xHT/b86UFZA2fPy7z+qHQ+7kDqbI+pnZB4WuWNDKUWskNZ05q/MmWt0MlaOVCY3ayORJ2mICxEAAAAAAJhTKmPrhSNj2nRya+m2nmIzygDjzcqVyth6+KnDGk/l9L/veFLP7h9o9CmhgSoda1a0tjNOkAhLQ3Es2IlX+leiJW5prKxGIv+XaTyS/4eZTNu+H3slsh1PoWCDGokSYTmuN+daArByFF87QiuwkUiS+odpj5EmA88nvk9pKTUSTX3NSGVsjYxn1d1ReZAoGAjov110sl4+Nq4dLwzO+/jiGl3sjURSPqDWzwggLHJ9wymtaosqEcsHBcdoZoPyrwPRmRqJCq+Xg/xsAwAAAABgTnsPjcj1PL3ilLbSbT2Fv58eWeBAw1L2q51Hlck5+pPfOVvdbTHddM/T+tWO3kafFhqkNNbsFeWNNSta0xVX70ByQVu2F/8OBhalZMaWZQZrCvkkYqZG5rhiuN6jzaTJQBRq47gNbCRqzm8KM94MgDTZZmeutEaiYpCIRiJJ+WCQJEXDU1t/ouGQLCOo4RNGm/UOJiVNXlFTqYs3d6stEdYPfvXSvI8ttiEuiSBRS0RDoxlGAGFROzqU0qq2mBKx/IUCNBLBdT2lMs6MjUTticLvDqP87gAAAAAAS8V3f/aCdrw4/wV88NdzB4YUCga0YU1L6baWuKVo2NCRwt9TMTfP8/TQk4e0blWTzt3QqY/93qu08aQW3fb9nfrxtpcbfXpogG2FsWavKnOsWdHazrgc19OxoYXbA1r8OxhYlJJpe8Y/zFaiOW5pPJmbdSRVXUebFYJEEzQS+SI/2qwx7R/tieJVxWwGADi+kWhlvcWJWIaaoqb6R2hYkI4PEk19rxIIBNTSZGn0hBa7I4Uq3mpGm0n59yq/+ep1eu7AsPYfHp3zsdlcfo2a5uIfbba6LSZP0p6DzO7G4uS4rvqHU1rVSiMRJpXGW84UJGrO/+4wQCMRAAAAACwJnufpvl++pB/++kCjT2XF2X1gWKetaVbYmvw7ZiAQ0JqOGI1EZXrhyJgOHBvXG85do0AgoFjE0J9dvkXnn9GlO366R//3oX3yZtknx/LjeZ627TqmM09tL01PKtfaziZJ0uEF/Le3snbZ4JtUxlaswgV+ouaYJcf1Zh0vZheu2K9Hq0RptFmGIJEfbMdr2KZ9W6mRiM0AAPVts1vsulojBIkKSqPNrOmbyC3x8IyNRMFAQKvaolU/5+vPXaNY2ND987QS5WxH0tJoJHrVpi61JcK6+8G9swa/gUYaHM3IcT2taosqFjEUDAQ0lqKRaKUr/n4502izsBlSU9RktBkAAAAALBFZ25XtuNrz8jCt2QsolbH14pExveLk1mn3dXfEdGSARqJybN1+SJYZ1Gs2d5duM42QPvL/nqXXn7tG9/3yJd3+o90NPEMspBd7xzQwWvlYMyk/VjAg6WDfuP8nNovFv4OBRSmZqb2RKBHPh3lObAUost1iqwSjzRY7x/VkBBuzaZ+ImjJCQQ0x2gyA6ttmt9h1tETVP8xoM0lKZfJhnRMbiSSppcnSyLRGoqS62qI1rZto2NCbzl+rJ57vKzUczeTF3jFJ+c3sxS5shvSu163Xi71j+vXOo40+HWCaY4WfeavbogoGAmqKGjQSoRQmjYVnvvCloznCWGQAAAAAWCImUvnf87O2q32HaM1eKHsOjsj1PG06uW3afWs64hqZyLLHOo9k2taju47qoleunvZ36mAwoPe9ZZPefP5J2rr98IK2zKBxtu3KjzU774zOij/WMkPqaovSSITFL5m2S2GcajWXxg/MEiSy85vB9WgkKoagZmtDQmUcx21YI1EgEFB7IsxVxQAk5X8eSVKoQeHGRupqiWhgNE1zjCZHm80Uem6JWxoZn/reo3cgqZ4qx5od783nr5NhBPWjR2euWn7+5WH9y327dMrqhM5a317z8y2Ei8/q1imrE/q/D+1TNuc0+nSAKYozwVe15f/9JmIWQSKUfseb7ffV9uYwo80AAAAAYImYOG4fb9dLQw08k5Vl94EhhYIBbVjbMu2+no64JDW8lejlY+O67Xs7SiPOF5tf7exVNufqDeetnfH+QCCgt77mFEnSY7uPLeSpoQE8z9O2545p82mVjzUrWtsZ1yGCRFjs/Ggkao7ng0Sjs/yxf3I8TR2CRBGCRH6yHa+hY4Tam8NcVQxAkpRzXBmhoAKBlRck6myJyHa8aSGZlSiVsRUMBGSZ099DtDSFlczYpVCM63o6OpRUd0ftQaLmuKVLzu7RL57tnTY+7aXeMd10z1PqbInoz67YosgMY9cWo2AgoCvetEGDoxn9+LGXG306wBTHhpIyjaBamvK/VyRipkZnuUgBK0dyjjCpJLU3R7gIAQAAAACWiGIjUSgY0HMEiRbMcweGtX5N84yt6j2Fv6MenqOVfSF8/xcv6lc7j+oHv5r5os56ymQdue7sF/R6nqetTx7WyaubdGp3YtbHtSXC2nBSix57rq8ep4lF5IUj1Y81K1rTGdexodSCjXkkSISqJNO2oj41Es062qyOQaJQMKiwFZqSZEb17MLGfaO0JSIaGiVIBEByGhxsbKTO1qgkqX+E8WbJjK1oODRjoKw1PvX9R/9ISrbj+dJIJElvuehkOa6nH2+bDN30Dib1+e9sVyxs6Lorzi29B1oqXnFKm87d0Kn7fvnSrO/bgEY4NpTSqtb8WDNJaqKRCJq/kaijOaJUxuGiEgAAAABYAsYLQaJXntqmfYdHlcnSmF2JTM7R8y8PV/QxqYytl3rHZhxrJkmdrREZoYB6G9hINDKR1ZPP98kyg/rhrw+ob3jh/ibueZ7+4dtP6IavbyutzxPtPzKqg33jesO5a+e96PmCTat0sG9cvYONbXhCfW177mh+rNnGyseaFa3tjMtxvQVbKwSJUDHP85TyoZGoKWoqEJgrSJRPchpGfTaE4xFDyQwbDbXyPE+O6zV0jFB7c1jD45k5078AVoZGBxsbqbMlIknqH6ZlIZ2xp82dLio2lwwX3n8UK3iLlby1WtUa1QWvWKWt2w8pmbY1OJrWP935pCTput89T+3NEV+eZ6G9542nK2e7+s+fvdDoUwFKjg2ntKotWvrfiZipcRqJVrxSI9Eco80k0UoEAAAAAEvARDq/j3fBplVyXE97Dg439oSWmHsf3q/PfvuJin4H3nNwRK7n6RUnt854fygY1Oq2WENHm/3s6cNyXE9/8jvnKBiUvvPg3gV77hd7x/TS0TEd7BvX5+58srRGj/fQk4cVtkK66MzV8x7v/E1dkqTHGW+2bHmep8cKY81iVY41k/KNRJJ0eIHGm9Vlp+0//uM/tGnTJj322GNlPf7jH/+4Nm3aNO//ffzjH5/yce9///vnfPxLL71Uj09vxcvmXDmuN+sfZssVDAaUiM4+fqDUSBSsz4ZwLGxyFaoPnEJ4p5Eb9+2JsBzXY5QFgEKQaGU2EnUUAio0EkmpjDNr4Lklnt9AHimMHiv+wuvHaLOit150ilIZR//1ixf1T3dtVzJj688vP1fdPrUeNUJPR1xvOHetHtp+aEHnMAOzcT1PfUMpdbUeFySKmppI2wtW74vFKVn4A150lhGSxdfLwTGCRAAAAACw2BUni5y7sVOhYEC7GG9WtkzW0c+ePiJP0t5DI2V/3O4DQwoFAzp9bcusj+npiOlIg0abuZ6nh586rDPWtWrzqe16+8Wn6vHdfQu2Nn75bK+MUED/852bdbh/Qp+/a/uU/eZkOqdHdx3Va85cPevFrsdrb47o9DXNjDdbxna+NKSB0UxNY82k/L+7YCCgg30L82+vtiTIDJ588kl96lOfquhjzjvvPNn2zIEOx3H0wx/+UK7r6swzz5xy33PPPadYLKbf+I3fmPFj43F/rizHVMUrPMv54TefRNyatZEoVwwSGXUKEkUMRpv5oJ4j6MrVlihsBoxm1NoUbth5AGg82/FWbCORZYbUErfUN8LGaHKORqLWQiPRSOH9R+9gUk1RU03R6q8EONEp3QltPrVNP3z0gEwjqOuuOFenzDELe6l45yWn6hc7enX3g3v1p+/Z0ujTwQo3Mp5V1na1ekojUf7f90QqpxbeE65YyYytiBVScJbG1GIz3ACjkQEAAABg0ZtI5WSEgmqKmjp9bYt2EiQq2y939iqZsRVQPkh04Svnb8eRpOcODGn9mmaFzdCsj+npiOvx5/uUs12ZddrHnc2uF4fUN5zWb1+6XpL0lgvW6ZGnDuuOnzyvT37gAoXqVFAh5fdEf73rqLZs6NRFZ65W2AzpK/c+oy/cvV1/fvm5ioYN/XLHUWVtV68/d03Zxz1/0yp958G9+fbt4y6aQ+Oks7bu2bpPvYNJ/dnlW6peV57n6bs/e0FtibAufGVtQSLTCKm7I6bnDizMz0Ffg0Q/+tGP9Fd/9VdKJiurMrviiit0xRVXzHjfF77wBbmuq7e97W163/veV7r90KFDGh4e1mtf+1p97nOfq+m8UZniFZ61jjaTpOaYpbHkzOPFJhuJ6jfarI/xLzUrNhI1erSZlB9PsH5Nc8POA0DjreTRZlJ+PvUAQSKlMnapceJEiZilQEAaHi8EiQYm1ONjG1HRb12yXocHntX73rJJZ6xr9f34jZCIWXrHa0/R3Q/u044XB7X51PZGnxJWsGND+d85V7VN/vtNxPKBwLEkQaKVLJWx52zPbYlbCgUDjDYDAAAAgCVgPJVTPGooEAjolae06Xs/e0ET6ZziNYwHWgk8z9MDjx/UyauaFAkb2ldmI1EqY+vF3jG94+JT53xcT0dMnicdHUrqpK4mH864fFu3H1JT1NT5m/KhDMsM6fI3btAt//msHt5+WG981Ul1e+6dLw5qLJnTazd3S8o3ZX34tzbrn/9zh26652n92Xu26KHth3RKd0Kndpe/X/nqTV36zoN79fjuY3rrRafU6/RRpudfHta/3LezlCN4dv+gtmzorOpYO18c0t6DI/r93zxDpjF7OK9cr9uyRnf+dI+ef3m47vsOvuy09fb26mMf+5iuvfZaua6rzs7qvpAneuyxx3Tbbbepu7t7WsvRrl27JEmbN2/25blQvlTGkaSaR5tJUvMcjUS2UxiZVcdGomRm5hATylf6PjVwlFDxquKhMa4qBla6fCPRyhxtJkmdLVH1DTPaLJWxFQ3P/KY8GAyoOWZNjjYbTNYlSLThpBZ97prXVv0LxmL15vNPUmdLRHf9dK/cQpgYaIRjQ/mfdatmaCQaY9ztipZM23Ne9BIMBtSWCGuAIBEAAAAALHoTaVtNhdDQK09pkyfpuZeGG3pOS8HzLw/rYN+E3nT+SdqwtkUHjo4rm3Pm/bjdLw/L86RXnNw65+N6OvJTgXoHKisXqdXIeEbb9/Tr/zm7e0oT0vmbuvSKk1t17yMvaDxVv73fX+44qnjE0Nmndxz33Kv0wf9+pvYcHNanb39MB/sm9IYK2ogkqbM1qlO7E4w3a7Cc7eiuB/bos99+Qp4n/cXvnqtEzNTPnj5S1fGObyN63ZbK1sRsXr9ljRIxU//1yxd9Od5cfElofPGLX9R3v/tdnXXWWbrrrru0fv36mo/pOI7+9m//Vq7r6pOf/KSamqamGXfu3CmJIFEjFMM3sXDtad9EzNToLH/or/fIrFjYnDKzEtVxCt+nUAMbQOIRQ6YR1OAYmwHASmc7bkN/HjVaZ0tEQ2OZ0s/mlSo1x2gzSWppsjQykdV4KqexZE7d7fUZhxsILL9Qm2mE9NuXrtfBvnHtOTjc6NPBCnZsOKVQMFBqppSOaySq4x+MsPilMnMHiaT8hQiDjDYDAAAAgEVvIpVTPJr/fX/9mmZZZlDPMd5sXj994pDiEUMXnblap69tluN6erF3bN6P2/XikEwjqA0ntcz5uO7ChZmHByZ8Od9yPfL0ETmup9efu3bK7YFAQO998xmaSOf03Z+9UJfnTmVsPfl8ny585eppe9cXnblaf/j2V+pw34QiVkgXnVneGLnjvfoVq/TCkVH1j3ChcCO8cGRUN3x9m3706Mt6/Xlr9Xd/eKHOPLVdrz2rW9v39s9ajDKXHS8Oau+hEb3j4lN8GwEYtkK67IJ1enb/oF7sHfXlmLPx5YzXr1+vz372s7r77ru1adMmPw6pu+++W88//7wuueQSvelNb5p2fzFINDIyoj/8wz/Ua17zGp133nm68sor9cgjj/hyDphZMXzjSyNRzFI668yYgp0MEtVvtFk668hxV/Zma63q/X0qRyAQUHsiTCMRANmOK3OFB4kc11vR4808z1Mq48wdJIqHNTKeVe9g/oqZ7jo0Ei1n69fma3n7V/A6Q+MdHUqpsyUyZT75ZCMRQaKVLJm2FZun4r6jOcxoMwAAAABYAvJjzPJ/5zNCQZ1xUqt2HSBINJehsYye2N2nS89Zo7AZ0ulr86GgvWWMN9v10qA2rG2ZdwRT2AypozmiIwvYSOR6nh5+6rBecXKrutun/z133aomveHctXrwiUM61Dfu+/M/8XyfsrariwtjzU702rN69CfvPkcffMeZiliV76G/elOXJOnx3bQSLbRf7ejV3//b40pnHf355Vv0vrdsKn0PLzlnjRzX0y939FZ0TM/z9N1HXlB7c1iXnONPG1HRG887SdGwoft+8ZKvxz1R7UkQSR/60If8OEyJbdv653/+Z0nStddeO+NjiqPNPvnJT+qMM87QBRdcoBdffFGPPvqoHn30UV1//fV6//vf7+t5FVmWoa6uRF2OvRQEzX5J0ro1rWpNhOd59NzWFuZDmhFLXSf80A8X/vjb091Sl1aiVZ35lqtILFLz57ESzLbm04UcVntrvKH/LlZ3xDWWslf0v03MjbWxMgSCQUUjoRX7/d5wSruk/GzqVe2xFfl1SGVsuZ6nrvbZX5e6O+M61D+uiWw+yLx5Y5e6Ohd2lvdS1tKaf8+WdryGrbGVuLYx1eBYRietTkxZC+3t+TemjgLLco0sx8+pHtK2q7aWyJxfr5O6m/XormNqbYv7dkUYqsfaxkrEusdKw5rHcsb6xkqz0Gs+mXHU2Tb5d84LNnfr6/+1U6GwqfbmyIKeSyMl0zk9f2BIu14cUk9HTG84f92sj/3RYwflydPvvPkMdXXE1SVpTWdcL/dNzPn9Gx7L6GDfhN73tpPL+j6fsqZZfSPpBVsTTzx3TP0jaX3gv2+e9Tmv/u1ztO25Y/q/D7+gGz74mrKmF4xOZPWzpw5py8auOT+Xx55/Wt0dMb3m3LWzNtH/Zg1fi66uhNavbdFT+wb0P97ORKaFtG33M1rdEdPnP/o6NRUuVCzq6kpo0ylt+sWOo/r9t51Z9hSCx587qn2HR3XNu7doTc/cDV/VeOfr1uuuHz+vpOPplELewm++BIn89sMf/lC9vb26+OKLtWXLlmn3Dw4Oqre3V4Zh6LOf/aze8Y53lO77wQ9+oL/8y7/UZz/7WV144YV65StfuZCnviJMFEYFxKO1L5/WpnyAZ3g8o1UnBIlydmFkVrA+TTer2qKSpGNDSYJENSg1EhmNHd/S2RrV03v7G3oOABrPtl1fGvOWquJr6dGBpM4+vcEn0yDJdGEEa3T2Noq25oiGx7M6cHRcRiio1W00ElXCMkNqTYTVN0TNLhrD8zz1DkzozFPbp9weCgWViJkamaClciU7vvZ+NqetacnXuh8Z0cZ1bQt0ZgAAAACASo0ns1M29s/ZkG9teXpvv97wqpMadVp1NzqR1RO7j2nXCwN67sUhvXhkRK43ef9YMqf/fun6aR+Xsx396Fcv6dWvXK3ujnjp9lec2q7Hnzsqz/NmDUI8vTffhLNlY1dZ57huVULP7huQ63oK1mkv9/9j76/DI8vPM+H/PsXMJIYmNdM0DKOHzPbY4xhiiJNNNmtv4oCTvEkcO/vbN9mQN968ieM4hnjWnjGNYcjxMHX3QLMaRC1WMfOB3x8F3RqVilRcz+e6fGUilapOS6XSqfO9v/dzrSePXYFOLcP1u3vWvY1OLcNH7h3DV398Fh/7iydxYJsd1+2w4+CYLd9kDQD+cALHzi7jlTPLODPlAc8L2LPZgi/9lxsKrkt7g3GcmfTgwbu2lR0kqcaNe3rxH09cgCcQh8WgrNvjkNUW3RGMDZvWhIhy3nZ4CP/n+6dwac6PsSFTwdtcSxAE/N+nLsJqVOKuQ4O1PlwAwLtu3oSfPD+FHzw9gd/7yMG6PEZLrrR95zvfAQD8+q//esHPm0wmvPrqqwiFQhgeHl71ufvvvx+nTp3Ct771LXz3u9/Fl770pZofXyrFItjF8wndvihkEhEC/o3X1fFsZkza3GIAxrcEk0LhBCRiETye2tfPAYA8O4rr0rRnzWOTq3LpW7e78OxUd/bnE40k171NI6hkIviCCTidoYacsJD2Ueo5TDpLPJmGUibu2p83w/FgkAnJAt35vF/yZOZycyl23X+/lAF4XsCZyy7YjEr4fI2d5d0JjBoZFl3hhj/H6DWdAEAolkIswUKrkKx5LqgVUri90Y56jtDzvny8ICAWT4PhhaLfL4smEzR64/wKDF0cQG42em6TbkTPe9Jt6DlPOhk9v0m3acZzPpXmkGJ5iAQ+/7hamQhqhQQnzi5h50DtWz5axV8/9CYuzQcgl4mxqVeHd9wwjM39egw7dPjmExfxr4+eBXgOR3esHrP16vkVBCJJ3Lzbsepn1W9W4ZlICuMTLtjW2VR5/OwSlHIJ9PLyrq/rVRKk0hwuTbth0dc39OIPJ3H83AruPjxQcn368FYLJO/djVMTbrx5yYnnTy6AYYBNfXps7TdgcjGIifkABAB2kwr3HRmE0aDEd564iG/85CzefdPImvt84vgsBAHYO2Ks6+/A9uxz+hevzuBt163fOkVqJ5Xm4PbHcf1O2bo/2+39OsikIvzs+SmY7yu+eQ0Azkx5cXkugF+9dxsC/vqtPdy6rxe/eG0e9x7qX/f3eiONYS13xWxlZQUnT56E3W7H9ddfv+7tTCYTTKbCia/bb78d3/rWt3D+/Pl6HWZXiyVYKOW1eeros8m+UDS15nMsK0Airl8gxGZQZBZbA90bCquFXCORuI4/q3IYtQrwgoBgNAUjNUwR0rU4Tmj661EzScQiGLRyOH2Nm03dauLJTEi52LmKXp05/5hZDmP/FktDjqvTmHSKfGiLkEZzZduwcg2j19KqpAjH0o0+JNIiEkkOAor/DQAAs04BnVqG6aUQ7qzPpi1CCCGEEEIIIRsUTWSu813bOisSMdg2aMSFWX+zDqshlrxRHN1hx6ffsWPN5vn/8q4d+PuHT+PrP78AjUKKXaPm/OeeeWMBdpNqTYvzpr5MQGVyMbhu4GD8ih9jg4ayN+v3ZhuPlr2xugeJXjqzBF4QcOve3pK3ZRgGB7dZcXCbFbwgYGY5hDOTXpyZ8uLxY7Pos6rxrptGcHCbFX0WNRiGgdWqxZI7ip++NIOt/Xpsf8v379VzToz26mA31bfZ3mFSod+qxhsXXRQkahBXIJ4Nla3/HFbKJTg0ZsOJC078yp1bIJeJ172tIAj4yUvTMOsUuKlIe1Yt3HN4EE+/sYjHj83hE/eN1fz+Sw8GbLBf/vKXADLNQiJRdYdntWYq1xKJRM2Oi1wVS7I1GxuTq5ELFAoScTwkZcyurJZUkhnL4aKxHBvCcZkuRUmVv6+1YsqGh3wh+r0npJulOR7SOv7taAdWvYKCRABUxYJEmsz5By8IcJhprFk1TFoFfKEkBEEofWNCaizXulY4SCRDOE5Bom4VS2bHW5Z4v8owDEZ7dJheDjXisAghhBBCCCGEVCGafX+vUaxuANk+ZIQnmIC7Q4sCkikO4VgavRZ1wVCPVCLGZ96/B70WNf7px+cwtRQEAMwshzC1FMIdB/ogesv4rT6LGgqZGFOLhd8HuwJxeIKJNQGkYnqy11WX67zZkOcFvHB6GduHjBUHeUQMg029erz3llF84ZOH8NXfvxV/+WtH8O6bRtBv1awaU/Zb79sDh1mFr/5sHMFIMv/xeVcEC+4Irt/pKPQQNXfdNhsmFoIIXHMMpH5yaymOEs+tm/f0IpHi8PolV9HbnZnyYmY5jHfeOFzXnAMAGDRy3Ly3By+fXa7L+njLrbS98MILAIB77rln3du88sor+IM/+AN885vfLPj5hYUFAIDD0Zhf6G4TT6SLLs5VQi4To9+qwUtnlpBm+VWfywSJ6tsqYTcqKUi0QSyf+bnV+8WwlNxC8Ly7PqPwCCHtgeP4rm4kAgCzXtnVQaJYvpFo/V0Bes3V5roeChJVxayTI5nm8jvDCGkklz8OBii42y3TSLR2kwLpDvEkB6B4mDRntFcHpy+GaIKCZ4QQQgghhBDSiiLZIJH6LZtFtg8ZAaBjW4k8wcy6pcWgWPc2KoUEn/vgXujUUvzv75/BkieKZ95cgFwqxo271ragiEQMNvXqMLkYLHh/F674AFz93pZDq5JBo5Riuc7Xos/N+OANJXDrvtJtRKVIJetfM1bIJfit9+xCIsniX382Dp7PbKB89dwKxCIGh7fbNvz45Tg4ZoMA4M3L7oY8XrdbyT5/7es0deVs6dfDblTixdNL694m00Y0A4tegRt2NSanct+RQQDAkyfman7fLRckOnPmDKRSKXbu3LnubRKJBH7605/i29/+Nlh27eLFo48+CgC46aab6nWYXS2W5KCsUSMRAHzg9k1wBxJ45s2FVR+vdyMRkNnF7CoxS5MUx2YbiZq9cG8zKKFTyzAxX/gkiBDSHVhOaHqwsdmsBgV8wfiagG63qGS0GQA4TOq6H1MnMukyFzKoCZA0gysQh0mngFSy9vVeq5IiEk+Dp7asrhRLlNdIBGSCREBmxyYhhBBCCCGEkNaT2/hx7WgzILMxUK+WdWyQyB3MXG+zlhgXptfI8XsP7oNIxODvHj6F4+Mu3LDLse574k19eiy4I/nrp9e6MOuHXiOreNNlj1lV10Yinhfw4xenYdDIcGCrtW6Pk9Nv1eAjd2/FhVk/fv7KFfC8gGPjK9g9as5P2am3PosaPWYVXr9YvPmG1MaKLwa9RlZ0PQHItFvftKcHlxeC+fDRtXhBwA+fn8aVlTDeeUP924hyLHolju6044VTSwgVmAC1EQ1faVtaWsLU1BR8Pt+azy0sLMDv92Pr1q2Qydb/ZbzpppvQ19eHxcVF/M3f/A04jst/7oc//CGeeOIJWK1WPPDAA3X5N3S7WJKtWSMRAOweNWPniAk/e/lKPl0MNGYx2GpQIhRLF/yjScrDca3RSMQwDLb06TG5GGjqcRBCmqsRIdRWZ9YrwAuAp0OrfUvJtVEUO/GXS8X5xqJSlaWkMLM+FySiil3SeC5/vOBYMwDQKmUQhKv156S75FrpygkSjfTowACYXqIgESGEEEIIIYS0olwTtuYtQSKGYbB9yIgLs34IHbiRKHdd12IoHiQCAJtRhc99cC8SKRYsx+OOg/3r3nZznx6CsHZDDS8IuDDrx44h06pRX+XoMauw5K1fYcMLp5cwuxLGB+/Y3LDr/jft7sH1Ox34yUszePSlaQQiKRzdaW/IY+dct82GS/MBBGscDCFrOX1xOEq0EeXcuLsHIobBS2eWV308nmTxTz86i8ePzeLmPT24cffaVrB6uv/oENIsj6dq3ErU8JW2z3/+87j//vvx0EMPrflcbiSZ1Vo8USiTyfC3f/u3UKlU+OY3v4l7770Xn/nMZ/Ce97wHf/InfwKVSoWvfOUr0Gq1dfk3dLt4Ig3VW+aRbtSDt29GPMXiZy9fyX+sEYvBuZqyTp2j2gi5RqJ6j6Erx5Z+PdyBBPxhWtQkpFtlQqjNfz1qptxOFVeXjjeLJVkwyIxPLUavlkOvkZW12EzWMmkz4+G81EhEmsDlj8O+XpBInXmfEo5RkKgbxbIXmcvZ+KKUS9BjUVOQiBBCCCGEEEJaVDQ/2mztmuT2ISNC0RSW6tiG0yyeYAIyiQg6VXlrsYN2Lf7gV/bjk/eNoc+yfvt6rpn3rePNFlwRhGNp7Bguf6xZTo9ZjUg8XZcx85F4Gj98fgrbBgw4sr1xQR6GYfCxe7bCYVbh56/MQikXY99mS8MeHwAO77BDEIATF5wNfdxutOKLwV7mZmODRo49m8x4+dwyOD5TtOEJxPH/fucNnJr04Ffu2oJP3DcGkaixa1Q9ZjWu3+XAUyfm82MKa6GltuznWorKCQAdOHAAP/7xj/Ge97wH8Xgczz77LLxeL973vvfhpz/9Kfbv31/vw+1KgiDUvJEIAPptGty8pwfPvLkAZ3bUGMsJkErq+4uW28ns8lOQqFpstpFI3AINIJv7DQDWngQRQroHNRIhf9J7fsbb5CNpjniShUIugajE7pk+qxqbevUNOqrOo1XLIBEzNNqMNFwskUYknoZ1vSBRtma6HhewSOu72khU3sXW0R4dppdCHbmDlRBCCCGEEELaXSSehkTMQCZde713+1Am9NKJ4808wQTMekVF7UDDDh1u3ttb9DYqhRR9FjWmFldvqMl9D3Pf00r0mDPBpeU6tBL96PkpxJMcPnL31oqbkjZKIZPgt96zCzKJCEd2OCCTFt+0Wmt9FjUGbRocO09BonqKxDPXGSuZWnDTnh4EIymcnfbh0pwfX/rW6/CFkvjcB/fhbdcNNPy5mvORt2XCb//8k/M1K1Cpyxbs//iP/6jqc/fffz/uv//+sh9neHgYf/3Xf13RsZGNSbM8WE6oy+799948iuPjLvzg2Sn89vt2g+X4uodTrNlaQBc1ElWN47ONRA1OVxYyaNdAJhFhYiGAQ2O2Zh8OIaTBeEEAx9d/LGarM2rluG67HY+9PINbdjsgb/CbnGaLJ1mo5KX/zb/xzp0AaOG4WiKGgUmroEYi0nC583abofAbfK2SGom6WTzbSKQs4+8AkNmN+dLZZbiDCdjKqIwnhBBCCCGEENI40UQaaoW04MK8xaCERa/ApfkA7rpuoAlHVz+eQDy/fllrm/r0eP2iC7wg5DdiXpj1w25SwaRTVHx/PebM9ZllbxRbBww1O86Z5RCeP7WEu64bQL9VU7P7rUS/VYO//s3roVbWdkpPuY7udOCRZyfhrKAxh1QmV25iN5X/+7Znkxk6lRQPPz0BTzABq0GJzz6wp6IwUj0o5RJ85v278ZfffB1f+eFZ/D8fO1hyakMp3b3SRiqW3+FZ40YiANBr5Ljv6CDeuOzG5fkAWI6HtM6LwUq5BDqVFC5/d45/qQWuhRqJJGIRRnt1mFigRiJCuhHXQqMWm+2BO7YgFE2tmdXbDeJJFsoyzlOkEhGkku4KWdWaSSeHL0TjRElj5ZpE1x1tlmskilOQqBvFkizkMjHEovLem+Rq3aeX6P0DIYQQQgghhLSaaJyFpkiIY8iuxYK780abuYMJWPSVh3rKsalPh1iSzTcIsRyPS/MB7KiijQgAzHoFZFIRFms4Yo4XBDz0n5ehVcvw7ptGana/1dBr5E3buHxkhx0MgFfPrzTl8bvBSvb3oJIQkEQswg27euD0x7F92Ig//dXrmh4iyrEbVfjNd+/EoieCrz9+YcMN3M1f+SdtJZbf4VmXMivcc3gQRq0cDz8zgTTLQ9yAxWCbUUWjzTaAbbGF+839Bsw7I0ik2GYfCiGkwXKjFru9kQgAdoyYMDZkxFMn5vKzertFuUEisnFmnQK+MDUSkcbKnbevtzNPq8o1EtFos24US1Q2hrvPqoZMKsL0Uqj0jQkhhBBCCCGENFSmkWj993i9FjVc/hjSLNfAo6qvaCKNeJKFRV+fRqLNfXoAwNRiZkPNzHIIyRSHHcPVBYlEDIN+qwbzzkjNjvHlM8uYXgrhA7dtqsuEnHZh1MoxNmTEsXEnjWSvE6c/BhHDVNwA9s4bh/Gb796J33lgb8s9R3eNmvHAbZvw+kUXHnt1dkP3RSttpCL5RqI6/VLIpWK875ZRzCyHMesM172RCABsRiWcFCSqGptdoJaUueu33rb268ELAi0GENKFKEh0FcMweOCOLfAEE3jtgqvZh9NQ8SRHQaIGMeoU8IeTXRdWI83l8seh18jWreaViEVQyiU02qxLZcZblv83QCwSYdiuxQy9dyCEEEIIIYSQlhOJs0XHSvVa1BAEYMXXOWt8nkBm057VUJ9GIodJBbVCgslskGj8ih8MgG2D1QWJAGDQrsWcK1KTsEs0kcb3n5vC5n49btjl2PD9tbujO+1w+eOYXqbrFvWw4ovDYlBUvKaklEtweLsdIlFrlGy81b2HB3Fkhx0/fmEaoWj1my1ppY1UJNdIVI/RZjnX73Jg0K6BIDRmXJbNqIQ/nEQq3TmJ5UbKNRI1oj2qHKO9ejAAJmm8GSFdp9Vej5rt0A4Hei1qPH5srqt2LFS6iEyqZ9bJIQhAIEzNL6RxXP4Y7CV2CWlVUmok6lKxJAtlhZteRnv1mHVG8oFkQgghhBBCCCGtIdNItH6QqM+iBgAsemrXhtNs7kAmFFWvRiKGYbCpT59vJLpwxYdBh7boCLlSBm0axJMsPMGNN5f/+IVpRBNpfPRtW8EwdJ3/4FYbJGIRjp13NvtQOpLTF2uZsWS1xDAMPnHfGAbtWsw7w1XfDwWJSEXidW4kAjI1eA/esQUAIG3EaLPsQoS7Bn/guhGXveAubpHUpUohQb9Ng4mFQLMPhRDSYLkFwEa02bUDkYjBvYcHseCO4Oy0r9mH0zCxJAsFBYkawqzL7IzyhugcijSOMxCHzVj8DX4mSESNRN2o0tFmADDaqwPL8Zh3dc6FZ0IIIYQQQgjpBNF4umjAxW5SQcQwWPJEG3hU9ZUL41jq1EgEZMabLXtj8IUSmFoKYcdQ9W1EQKaRCADmNjjebM4ZxrMnF3H7/r78fXY7lUKCfZvNOHHBSRugaowXBDj9nRkkAjJToP7b+3ZjI8v3tNJGKpIfbVbnBbrtQ0a85+YRHNlhr+vjAMgvRLj8sbo/VidiOQESMdNSyeDN/XpMLoVo1AohXSZ3Ik2NRFcd3WmHUSvHE8c2Ngu3XQiCgHiShVJeeOQRqS1TNkjkC1OQiDRGMsUhGEnBaizRSKSUUZCoS8WS6Yo3vYz26gCARiMTQgghhBBCSAtJpTmkWB5q5frv8aQSEWxGJRbdnRQkikMplxRtYtqoTX16AMCTx+fA8QK2D28sSNRvVYNhMkGgjfjFa/NQyiR47y2jG7qfTnP9TgfCsTTGr/ibfSgdJRBOIpXmYe/QIBEAmPUKjGR/36tBQSJSkVgic0G+no1EOe+6cQR7Nlnq/ji27EKEy985M1QbieV4iEWt9VKypV+PZIrDgqtzTh4JIaXlRptJWuw1qZkkYhHuPjSAS/MBTC11/sjHNMuD4wUabdYgJp0cAOALJZt8JKRb5Oq97aWCRCopwnEabdaNqmkkMmrl0GtkmO6Cv5OEEEIIIYQQ0i6iiUyxQalATZ9FjSVv5xQFeIIJWPX1ayMCgJEeLUQMg+dPL0EiZrCl37Ch+5NJxegxqzfc9LvojmK0V1fXEFU72r3JDLVCgmPjK80+lI6y4su8bjhKXGdsdwpZ9WsltNJGKhJLspCIRZBKOmenv0YphVohgStAQaJqcHymkaiVbM2e9NB4M0K6S66RSCKh05tr3bK3Fyq5BE8cm2v2odRdbgSrkoJEDaGQSaBWSGi0GWmYxWxVeanKYa1KhkgsDUEQGnFYpEUIgoBYkq140wvDMBjt0VEjESGEEEIIIYS0kGg8U2ygLjLaDAB6LWq4/DGkWa4Rh1V37kAcFkN9gw0KmQT9NjXSLI/NfXrIpRtf8x20azC7gUYiXhCw7IvCYe7cdphqScQiHBqz4c3LbiRSbLMPp2M4s0GiTm4k2ihaaSMViScqvzDbDqwGJTUSVYnjeIjFrfVSYtIpYNLJMblIu4oJ2QhBEHBuxgueb4+FWC7XSNRi4cZmU8oluONgH05edmPZ29lNbfFU5oIBBYkax6RTwBekIBFpjNmVMCRiEXot6qK306qk4HghHy4k3SGR4iAIgEpe+c7F0V4dnP44InEaiUcIIYQQQgghrSCanZCiLrEm2WdVQxCA5Tq0EnE8j/ErPly44sPkYhCzK2EseaLwBOL546slQRDgDSZgqXMjEQBszo472j60sbFmOYM2LfzhJMKx6hqi/aHMmKlec/FrPt3q6E4HUmkeJyc8zT6UjrHii0MmFcGglTf7UFoWrbKQisSSbEcuztmMSsws0w7UarBc6zUSAcCWfgMuzwcgCAIYpvWOj5B2ML0cwt8/fBq/+e6dOLzd3uzDKSmdbSSStli4sRXcdXAAT52Yx5PH5/DJ+7c3+3DqhhqJGs+sU8BDQSLSIFdWQhiwqSEp8TqvVWWCJOFYGiqqw+4aV/8GVL6TcrRHBwCYWQ5h96i5psdFCCGEEEIIIaRykXjmPZ6mVCNRNniy5I1i0K6t6TG8fHYF33zi4rqf//yH92PbYG2COAAQiqaQYvmGBIm2DRrxzJuL2FWj98CDdg0AYM4Vwc5hU8Vfv+zLbIDtoUaigjb362HWyfHq+RVcv9PR7MPpCE5/DA6jCiJaQ14XrbSRisQSLFQduDhnM6rgDSbzY3FI+Vieh0TUei8lm/v08IeTNG6FkA1Yyo6QaZd2Ly77Gt5qLWmtQKeW4aY9PXjl3Ar84WSzD6duYtlF5E48V2lVJp0c/jD9rSX1xwsCZp0RDDl0JW+rVckAZIJEpHvEEtm/AVWEx4Z7dGAAGm9GCCGEEEIIIS3iaiNR8fd4dlMmCJC7ll1Lpyc9MOnk+PyH9+NzD+7FZ963G7/57p34tbdvh1YlxVMn5mv6eLnNevUebQYAB7dZ8YVPHMJIT+nrLOXIhbjmnZGqvn7Zk2mU6qFGooJEDIOjOx0Yn/EjFK2u9YmstuKN0VizEmiljVQkluzM0WY2gxK8IFDopAosJ0Dcko1EmVrGiYX2CEAQ0opyIx9n2mRRLddI1Iotaa3gnsOD4HgBr5xbbvah1E08QY1EjWbSKRBNsDRCitSd2x9HPMli2FF6d+HVRiK6sNJNNhImVcol6LWoKUhECCGEEEIIIS0imh09rVYWf48nlYhgNymx6K5tkCjN8hi/4seeTRZsGzRi14gZ+7dacXi7HTfu7sFt+/pwetIDp792I9Xcwcz1eGsDGolEDIOhMq6xlEujlMKkk2POGa7q65d9MagVkvw1HbLW0R128IKAExeczT6UtsdyPNzBOAWJSqAgEalIPNmpjUSZdG9u0ZyUj+P4kuMlmqHfqoFSLqYgESEbsOLLvAmadUbaorGN4wQAaMnXpFZgMyhh0Mjg9HXu37qNjLUh1THpMjOkfR3cdEVaw5WVzIWooTJqyrXKbCNRnBqJukk+SFTlxpeRXh1mlkMQBKGWh0UIIYQQQgghpAqRRBpiEQO5tPR1vl6LuuaNRBMLASTTHPasM/rr9gN9EIkYPP36Qs0e0xPINhLp699IVA+DNi3mXNU1Eq14o+gxq8HQmKl19Vk1GLRp8Op5ChJtlDsQhyAADlN7/q41SuclQkhdxRKd2UhkpyBR1VhOgFjUen/YRSIGm3r1mFwINPtQCGkZpyY9+N7TE/jipw6X9QbM6YtBIhaB5XjMuyI1qzmtFzbfSERBovVYDUq4A537t+5qkKjzzlValVmX2SHlCyXQZ6ld9fC//vQ8dGoZPnTnlprdJ2lvsythSMQM+qyln2fUSNSdcq101W58Ge3V4aUzy3AF4rAbaUcaIYQQQgghhDRTNM5Co5SWFSzpNavx5mU30iwHqaQ2GwzPTHkhETPYPmQs+HmDRo7D22146ewy3nvLaE2uR3qCcehUUshl7blJctCuwekpD5Jprqz1h2steWPYs6lwaItcdXSnA488O4k//bfj4HgBPM+D5wVwvABBANRKKfRqGQwaGfQaOQxqGYw6BfZttkAqoXWTnNwmeoeJRukVQ6sspCKxDm0k0qllkEvFFCSqAse3ZiMRkBlv9uiLM4gl0lCVmKNLSDc4PemByx/HkidaMhTECwJc/jj2bTbj9UtuTC+FWj5IRKPNSrMalLg452/2YdRNro1CKeu8c5VWdW2QqFbSLI/XL7nzjZGEAMCVlRD6rZqyzjtlUjHkUjHCMWok6ib5vwFVbnwZzZ7nTC+FKEhECCGEEEIIIU0WTaShVpa3rtNnVUMQgGVvDINlNBmX4+y0F9sGjUVDPXddN4BXzzvx4pll3H1oYMOP6Q4kYG7TNiIAGLBpIQjAgjuCTb36sr8umkgjFE2hx0zvxUu5aU8P5pxhpDkeYhEDsYiBKPt/AQaReBrBSBKX54MIRpNgs1Mcrt/pwK+/c0dzD76F5KY22KmRqChaZSFlS7Mc0izfkY1EDMPAalDCVcNZpt2C5YSWXbTf3G+AAGByMVTXJPOr51aw4ovhvbeM1u0xCKmF3FiYcoJEgXASKZbH9mETJhaCmF4K4s6D/Y04zKrRaLPSrAYlXj23gjTLd+QOhHiSg1wmhqgFm/I6lV4jg4hh4A3VbrTZ7EoYLMfD6YuB43mIRZ33XCWVEQQBs84Ijmy3lf01WpWUGom6TCyRCY5Vu/Glz6qGTCrC9FII1+901PLQCCGEEEIIIYRUKBpPQ13memRvtiV7yROtSZDIFYhj2RvDbfv6it5upEeHzf16PP3GPO462L/ha5LeYALDPbUJQjXDkF0DAJh3VhYkWvZm1mZ7zNQOU4pGKcVvvGtnWbcVBAHRBIufv3IFv3htHncc7Kvo59LJVnxRaFVSqKmEoii6Kk/KFktyAKq/MNvq7EYlXB087qVeOI6HuEUX7Ud7dBCLGEzUebzZ8QtOPPNm7ebgElIPLMdj0Z2ZT7zkLT0v2pmrdjQqMdqrw/RSqK7HVws02qw0q0EBAYC3hu0xrSTeoc2JrUwsEsGgldW0kWhiMQAA4HghPxuedDdXII54ksWQo/yLaZkgETUSdZNYkoVMKqr6PEAsEmHY0R7nPIQQQgghhBDS6SJxtuxFfrtRBRHDYNFT+rp3Oc5OeQGgrA3qb7tuAO5AAqcnPRt6TJ4X4A0lYGnjRiKzXgGVXII5Z7iir1vOrldQI1FtMQwDjVKKd980Ar1ahu/9cgKCIDT7sFrCii8Ou4meb6XQShspW26HZ7VV8a3OZlTCHYiD5+lFtBIsJ0DSos0PcpkYg3YNJheCdX2cUDSFaIJFPDtOgZBWtOiO5msslz2l29dW/LlqRxVGe3Vw+uOIxFt7QZbNNxK15mtSK7AaMm9E3R0anI2n2JrMIyeVMekUtQ0SzQchYjK/x8s+aoskmZYqABh2lD9iU6uSUZCoy8QSGw+TjvbqMO8KI83yNToqQgghhBBCCCHViCbS0JQ52kwqEcFuUmKpVkGiaS9sBmVZQYMDWy0w6eT4z9fnN/SY/nASHC/AYlBs6H6aiWEYDNo1mHNFKvq6ZW8MEjEDaxuHqFqZUi7B+24dxdRSCMfHnc0+nJbg9MXgoLH2JVGQiJQtlg1JdOpOf5tRCZYT4A/XbjRHN2B5vqXbP7b0GzC9HMo3ldRDbmyGJ0itCaR1zaxkdtcPObRlvaFy+mKQSUQwaOUYzY5Bm1lu7R361EhUWscHiZIslPL155aT+jDrFDVruRIEAZOLQezdnNnxteKlIBHJjOaUiBn0WcuvuNYqpQjHabRZN4klNx4m3dKnB8sJmFqs70YEQgghhBBCCCHFRRNpqJXlv8frtahrEiRKpTlcnPVjdxltRECm3fbOg/24OBfAfIUBmmt5gpnrte0ephmwabHgilRU2rDijcFuUm14NBxZ3427ezBk1+L7z00hmeKafThNFU+yCEZTcFADVkm00kbKFk/kgkSdOS/Qll1cdflpwaoSLCdA3MLtH5v79EizfH4ne60JgoBgNLPb3dOhC/OkM8yuhKGSS7B3kxnuQBypdPGTRacvBlu2Ena4RwcGaPlRH7kgkZjecKxLr5ZBKhF1eJCoMwPPrcykk8MfToKvQTXuii+GSDyNvZst0Kmk+Wpj0t1mV8Los2oqCormGomosrl7xBIsVBtszx0bMkIsYnBuxlejoyKEEEIIIYQQUqk0yyGV5ssebQYAfRY1XIE40uzGQhKX5gNIsXxZY81ybtnbC5lUtKFWIncgs0mvnRuJAGDQrkGK5bFSQcv4sjeKHhozVVcihsGv3LUF/nASTxyfbfbhNJUzmwOwUyNRSRQkImXLNRJ17mizzAuGs0MXV+uF43iIRa37UjLam2lSqXQma7kSKS4fXqBGItLKrqyEMeTQos+qgQCUPJFf8cfhMGUClkq5BL0WdRsEiQRIxAwYhoJE62EYBlaDMv/GtNPEklzHNie2MpNWAZYTEI5uvP1lIjuOdEu/Hg6zmkabEQiCgNmVMIYd2oq+TquSIs3ySJYIzpLOEU+yG970opRLsKlPj3PT3hodFSGEEEIIIYSQSkXimfVIdZmjzYBMI5EgZMZkbcSZKS9kEhG2DRjK/hq1Qoobd/Xg2HknQrHqro95gnEwyFxna2eD9sz1m3LX5NIsD1cgjh5z+S3UpDpbBww4NGbDk8fn4KtRu3w7yjXg59a/yPpad/WftJxOH21m1MkhEYvg8lOQqBIcn1m4b1UGjRwihoGvTiPrQtcsmrqD9NwhrYnleCy6IxhyaNGbrWssVvPK8Tw8gfiqGdAjvTrMLIdautmB5XiIaaxZSVa9ghqJSE2ZdZkLHN7Qxv/WTiwEoFFK4TCp0GNW0WgzAncgjliSxVCFQSKNKnOxMRxL1+OwSAuKJTfeSAQAu0dNmHNFEIzQyGtCCCGEEEIIaYZoIvNeXl3Be7xeSyaIspHxZoIg4MyUB2NDRsik4oq+9q7r+sFyPJ4/uVjVY3uCCRi0ckgl7X19u8esgkQswlyZY95c/hgEIfN1pP4+cPsm8ALwg+emmn0oTbPii4EBYDNSkKiU9n41Ig2VH23WoY1EIoaB1aCAm4JEFWE5vqIxE40mEjEwaGUI1CtIdE263EuNRKRFLbqjYDkBww5tZtYww2CpyLggTzABjhdWVTuO9uoQiafhauEACsvxkLbw61GrsBqUcAXiLR0Kq1Y8yUIp68zzlFZm0skBoCY7WSYXgtjcpwfDMOgxqRCJpxGucicX6QxXsuNpRxy6ir5Oq5IBoCBRN4kl2Jpsetk1kqmvp/FmhBBCCCGEENIc0XjmvbymgkYih0kFsYjB4gaCRE5/HO5AArtHyx9rltNjVmPXqAnPvLmYn2JRCU8gDqu+vduIAEAiFqHPqi67kSjXIEWNRI1h0Stx75EBHBt3YnIx2OzDaQqnPw6zXgGppLKwYDei1TZStliShVjEQNbmadhibAYlnBQkqgjLCRC3cCMRABg18jo2EmVOaI1aeceOCiLt78pKZiTZkEMLiVgEu0mJJc/6LR9OX67a8ZogUU9mAbeVx5u1w+tRK7AalEimOITjnbW4znI80iwPpZzeADSaWZ9rJNrY38FgNAWnP44tA3oAgCO7E6mSmeqk88yuhCERM+izVnZBSZtvJKIgWjcQBCEz2qwGm14G7BroVFKcpyARIYQQQgghhDRFNFtsoFaUHySSiEWwGZUbaiQ6O5UZc717U+VBIgB423UDCEZTODnhqfhr3cEELIbOaEgZtGkw54yUtZF1Obvh+dq1CFJf9x8dgl4jw3d/eRl8B242LmXFF6PnW5k6NxFCai6WyFyYZZjOXaS1GVVwBWId2dJQL1yLNxIBmZBPoE6jCXKNRKM9OnhDndnwQdrf7EoYSrkEtuwbkV6zuugbKqcvE6i0XTMjts+qhkwqwkxLB4l4SESt/XrUCqzZ50GnjTfLjWCl0WaNp5JLIJeJ4dvgaLPJhQAAYEufAQDgyO5EovFm3e3KShh9Vk3F55vUSNRdUmkeHC/UpJFIxDDYOWLCuRlfV15QI4QQQgghhJBmyzUSqZWVvcfrtRS/7l3KmWkvesyq/HX0Su0cNkEpl1S8MSXN8giEk7B0QCMRAAzatYjE0/CXscF/2RuDWSeHXEabQxtFIZPggVs3YWY5jGPnV5p9OA0lCAKcvhjsFCQqC622kbLFkrWpim9lNqMSqTSPYJR2LpeL5QRIWrwBxKCtXyNROPtcGenVIZ7k8kl5QlrJlZUwhuyafBC016KGyx9Hmi1csbrij0Ell0B7TXWsWCTCsEOH6eUWDxJ1cGterVgNmTeknRYkilOQqGkYhoFJK9/waLOJhSAkYhGGHFoAgEWngEQswjI1EnUtQRAw5wxjOPucqETub1g4Tuf13SAfJq3RGO5do2ZE4mnMrpRXxU4IIYQQQgghpHYiiWyQqIJGIgDos6jhCsSRZrmKHzOZ4nBpzl/VWLMckYjBtgEDLs76K/o6XygBAZmxU51g0K4BAMw5IyVvu+yN0VizJrh+lwN9VjWeeXOx2YfSUMFoCokUR41EZaLVNlK2WILt+MU5mzHzR9pF483KwvMCeEFo+QYQk1aBZIrLLzLXUiiWglohgT373PEGabwZaS0sx2PBHcGwQ5f/WK9FDV4Q4PQXXpzPJLKVaxroRnt1mHOG1w0gNRvXBsHGVmDJNxJ11utVIpm5QNDpoedWZdYp1h1tlmZ5/N3Dp3CqRK3zxEIQIz1aSLOBQJGIgd2kpEaiLuYOJhBNsPlwWSUUMjEkYhE1EnWJWPYic63+BuwcNgEAzk17a3J/hBBCCCGEEELKF42zEIsYKCpsqem1qCEImXBKpS7M+sFyAvZUOdYsZ2zICFcgXtGGO3cwsyaZ2wDa7vqtGjAA5lzFN+fwgoBlXxQOM4U6Gk3EMLh+pwPTSyG4OmzDcTHO7IZVu6kzQnv11tqr/6SlxJJpqGq0w7NVUZCoMhyfCROIW3zh3qDNjLaoRytRKJqCTi3LJ8U9QXrukNay6I6C5YRVi7C9lkzCf72aV6cvXrDacbRHB5YTMO8qvZOgGdI02qwscqkYerWs4xqJaLRZc5l0inUvkLx6fgXnZ3z4/nOT644JSqY5zDnD2NJvWPXxHpMqPyuddJ9cG0w1jUQMw0CrkiIco0aibpD7G1CrIJFOLcOQQ4tzFdbRE0IIIYQQQgjZuGgiDbVSumajaym5696LVYw3OzPthVwmXnNtqlJjg5mvv1BBK5Enu0G9UxqJlHIJbEZlyUYifyiJVJpHLzUSNcXh7TYAwIlxZ5OPpHFWskEiaiQqD622kbLFEp0/2sysU0DEMHAFaOd7OVgusxgobvGFe5M2k+IO1CNIFEtDp5LBkh8V1FkNH6T9zTqzi7A9VxdhHSYlGKZwkCjNcvCFEnAYCwSJejOtRtNLwTod7cZwHA+JpLWDja3CalDC02FBIhpt1lxmnRyhWHpNdTTPC3ji+BzkMjGWvTGcnizcSjSzFALHC9jSr1/1cYdZDXcgAZZrzSY0Ul9XVkIQixj0WTRVfX0mSESNRN0gXuPRZgCwa8SEqcUQYjS6mBBCCCGEEEIaKhpPQ13F+zuHSQWxiFl3A+16BEHA2SkPdgwZ803Z1eq3aaBRSisab+YJJCAWMTBq5Rt67FYyaNdizlm8kWjZl/k59VAjUVNY9Eps7tfj+IXuCRI5fXFIxCKYdJ3R/lVvrb36T1pKLMl2fCORRCyCRa+gRqIycXwmSNTqo4QM2ZMvX7j2IZ9wLAWtWgaVXAKlXEyjzUjLubISzuwAMFzdzSCViGEzKLFUoOLV5Y9DAGArUO1o0ilg0MgwvRyq5yFXjeVaf9Riq7AaFB3XSFSPRWRSvtybr7e2/52ccMPpi+Hj92yDRa/A48dmIRRoJZpYzAQUN/WtDhL1mFTgBYHOzbrUleUw+q2aqi/iaVUyChJ1iVzYp5YbX3aPmsELAi7MUisRIYQQQgghhDRSJJ5pJKqURCyCzaisOEi05I3BG0pi9wbHmgGZkVHbBg24OOcveA2sEE8wnik6ELX2WlslBu0aeIKJ/CjyQpY92XYYaiRqmiPb7Vh0R7HQolMoam3FF4PdpISowrazbkWrbaRs8SQLlbzyP9ztxmpU1n2x6vJ8oOITmVaUaweQiFv7pcSoyYw2q0sjUTQFnSpTsWnRK/OzbAlpFbMrIQzZNWtqYHst6oKvQyu+zHN4vWrH0V49ppdaNUjEQ7LBHSPdwmpQwhdKdlTLS63H2pDK5INE1wRqBUHA48fmYDMocXi7HfccHsTUYggTC2tbzSYWAuizqKF5y0Wi3Iz0ambbk/YmCALmnOFVozkrRaPNukf+b4Cidu9XR3t1UMjEODtNQSJCCCGEEEIIaaRogoWmyvd3fRZ1RaPNBEHAL07MAQD2jG48SAQAY4NGeENJuMvceO4OJPJTLzrFoD1zPWe+SEBl2ReDWiGBTtX5a8+t6tCYDSKG6YpWIp4XMLEQwLC9+muN3YZW20hZWI5HKs13xS5/m1EJpz9edlK4Gv/+2AX84Lmput1/o+QWoMUt3kgklYihUUrhr3GQiOV4RBMsdOpMUMmiV1AjEWkpLMdj3hXFsEO35nO9FjWcvtiaIInTn1mstxcYbQZkFtVc/jgi8dZreMg0ErX261GrsBqUEICOes3KNRIpZOImH0l3Musy7X/e0NW/tRfnAphZDuGeI4MQiRjctKcHGqUUjx+bXfW1PC9gajGEzW8ZawZcDTWu+No/gE0q4w4mEE2wGN5IkEhJjUTd4mojUe3+BkjEIuwYNuH8jLeu7w0JIYQQQgghhKwWTaShVla3HtlrUcMdiCOV5sq6/c9euYIXzyzjviODNRt3NDZkBICyx5t5gnFY9B0WJLJlxtTPOosEiTxROMyqNZugSePo1DJsHzbi+Liz4699XFkJI5pgsXPU1OxDaRsUJCJl6aZd/naDEvEki2j2YnStCYIAfySJZV/776znuNxos9Z/KTFp5TUPEuUWpnSqXJAo00jU6X9sSftY8kTBcnzBNodesxocv3ZckNMXg04tg3Kd1/uRnkwoqRVbiViOb4vXo1ZgzY6666TxZvEkC5lERM+BJjFqs41EoavhtCeOzUKnkuLGXQ4AgFwqxl3X9ePMlBcL7qsXERY9UcSTLLYUCBIp5RIYNDKsUCNR15ldCQPAhhuJkmmu7IuHpH3FkiykEhGkktqGSXeNmOANJbHSAe/dCCGEEEIIIaRdROMs1FU2EvVa1BAElPU+7vlTi3j0xRlcv9OB99+2qarHK3gMZhV0allZQaJkikM4loZFr6zZ47cCvUYOvUaGS3Prfw+WfTH00Fizpju6ww5PMFFyzef//udl/OE/v4J//el5PPPmAuZdEfD86vVQXhDg8sfwxiU3fvLSDB59cRrJFrkud37GCwbAzmEKEpWr81MhpCbiuR2eXdBINJBNyf7rz87j196+A/ps20ytxJMs0iwPTyDe9ove7TLaDAAMdQgShaKZURla1dVGolSaRziezoeLCGmmK9lF2EJtDr2WzAn6kiea/28gEyRyGNd/0zLs0IIBML0UxJ4azIyuJRptVr5ODRKtF4Aj9SeViKBXy+ALZ4JEc84wzs348L5bRiGTXl3Yv+NAP544Nocnjs3h19+5A0BmrBkAbO43FLzvHrO6IwLYpDJXVkIQixj0WzVV34c2W40djqVh1lNbWSeLJdi6bHrZNZK5uHR22kcXNwkhhBBCCCGkAdIsj2Sag1pZ/WgzILNxbbDICKOTl9349lOXsHvUjE/ePwZRDVtxGIbB2KABF+b8EAShaOOOJ5i5Pttpo80A4OY9vfj5K1cwu7J2dH00kUYomkKPufBkBNI4B7Za8a0nL+HYuBOb+tZu9AQy7Vq/fGMBQ3YtLsz5cWw8MwpNKRdjU58eRo0cS54oFtzRfHCIASAAGL/ix3//wJ6qw4G1cm7Gh0GHNr+mS0qj1bYOxfMC+Bq2ouQaibphgW5syIiP3b0Vl+YC+POvH8fpSU9N7z+YDZ9wvND2I2XYbCORuA1GCZm0cvgjtW4kyvwsc2Gz3ImeJ9DeP1fSOa6shKGUi2EtEAxymFVgACx5V48LcvrjsJnWP3lXyiXotaoxvdyKjUQ02qxceo0MUokI7jZ8vVqvWSSW5LriPKWVmXTy/GizJ47PQSET444Dfatuo1FKccveXpy44MxfKJlcCEKvkcG6ToWzw6zCijdGjX9dZnYljD6rGtINBERzFwbC8VStDou0qFiSrcumF4tBCYdJhXMz3prfNyGEEEIIIYSQtaKJzCQITZXv8ewmFcQiBkue6Lq3uTwfwL/89DyGHTr81/fsqstm+bEhI4KRVMlmJHd2ndDaYY1EAHDv4UGoFRL88IWpNZ9bzraP95ho006zKeUS7N1kxmsXXeB4fs3n0yyPbz91CRa9An/00QP4+9++EX/9m9fj0+/YjiPb7fCHkjg54YFUIsLNe3rwifvG8Ke/eh3+v8/div/6nl24shLCXz30Zs3LHioRS7CYWgzlN4yR8lCQqEP94w/P4JtPXKzZ/cUS3TPajGEY3H6gH3/+iUPQq+X43z84g4f+8zLSbG2q1wKRqwsZTn97765n+VwjUesv3Bu0coRjaaTZtX8EqxXKBom06kyKNlc9mVsYJaTZZldCGLJrC+6mkEvFMOsVq95QxZMsgtEUHEWCRAAw2qPDzFKo5Rb1qZGofCKGgUWvaKtGIl4Q8OTxOfz2P7yAf/rRWUTi6VWfT1AjUdOZdAr4Qgm4A3GcuODEbfv6oCqw0+SewwMAgF+cmAeQaSTa0m9Yd3dWj0mFWJJFKJYu+HnSeQRBwOxKuGCjXiWubSQinS0aT9ftvequERMuzQVoRB4hhBBCCCGENEA0e82v2kYiiVgEm1GJ8St+XJrzI54tSshZcEfwjz84A5NOgd/5wB7IZfVpMN4+aASAkuPNPIFcI1HnBYlUCgnefv0wzk371ow4W85ucO6xUCNRKziyw45QNIWLc4E1n3vy+CxWfDF89O5tkEvFYBgGVoMSN+zqwa/eO4a//PQR/ON/vxl/+OED+PDbtuKWvb0Y7dVBLhPjujEbfvcDe+EJJvA//+ONpo2OvzDrBy8IFCSqEK22dajppVDJWYaVyDUSdcNos5w+ixp/9vGDeNt1A3j6jQV86VuvY8Ed2fD9Bq9pxVnxtc8CbiFcrpGoDUabGbVyAECghq1EoWjmhFZ3zWgzAPC0edMU6Qwsx2PeFV1TGXqtXosaS56rJ265cKPdWCJI1KtDNMHC5W+t1zCW4yERtf7rUauwGpRtEyTyh5P4+4dP4ZFnJzHSq8OpSQ++8O8ncOGaN+LxJAuVnEYXNZNZp4A3lMBTJ+YgYhi87dBAwduZdAoc2WHHC2eWMOcMwxtKYss6tblAppEIAFa86+8kI53FE0wgmmAx5NBt6H7yjUQxaiTqdMveKGwlzl+qtWvUjDTL43J2DCMhhBBCCCGEkPqJZosNqg0SAcCuETNmlkP46/97Er/9Dy/gj7/6Kv7lJ+fw2KtX8A+PnIZUKsLvfXBvXUcc2YxKGLVyXCgQzLiWJ5iATCKCTtXcsU/1cseBPhi1cvzg+alVG5OXvTFIxEx+XY00155NZihkYhzPjizLcfpj+Nkrs7huzIY9m8xV3ff2YRM+/+H9SLEc/ud/vIGZdaZd8NlJPv5wEpF4Gqk0V7PN7OdnvFDIxOuObiOF1SUV8qMf/Qh//Md/jIceegjXXXddWV/Dsiz279+PVKrwRV673Y4XXnhh1cdCoRC++tWv4pe//CWWl5dhsVhw991347/9t/8GjUaz4X9Hu4onWUTiaSRSHHhBqMlcz1i2SrAbGomuJZWI8St3bcGuURO+/tgFfOmbr+PPP3Ed+q3VP79yo80kYhGcTUpe1grHZRuJ2mCUUC5I5A8nYa1RsjsUS0EqEUGRTawr5RKoFRIKEpGWsOSJguX4kkGi8St+cDwPsUgEZzbcaDcV/x0Z7c2cbE0vh2Av0V7USCwnQNwGDWmtwmpQYmIhUHRO90O/uAyFXIz337qpwUd31cnLbnzjiYtIsRw+fu823LK3F3POCP7lp+fxt989ifuODuE9N48glmTzr/WkOUw6BVJpHi+cXsL1uxxFfx73HRnEK+dW8PXHLgAAtgys/yYuV3GcqzwmnS93QYEaiUg5IvE0ApEU+q31qUPfNmiARCzCuWkfdo1Ud9GMEEIIIYQQQkh5co1EmgIt1+X6lbu24P6jg5h1RjDrDGNuJYzppRBOXHBBKZfgjz5yoO4NQAzDYGzQiHMz3qLXX92BOMx6xbqfb3cyqRjvunEY33ryEk5NerB/ixUAsOKNZcfQ0cbgViCTinFgqxVvXHLjY3dvg1QigiAI+M5TlyCVMPiVO7ds6P6HHTr8yUcP4u8ePoX/9d2T+I137oBKLsG8K4IFdwTzrigWPRGk0munyuTWYW/d14d33jAMaYVTKQRBwLkZH7YPGesyxrCT1TwVcvLkSfzlX/5lxV83OTmJVCqFwcFB7N27d83nDQbDqv8/Eongox/9KC5duoSRkRHcdtttOH/+PL7xjW/gxRdfxPe+9z1otRu78Nyucu0CLMcjEE7CpNt4mjOezNS4d1Mj0bV2j5rxJx87iD/6l1dxYda/sSBRJAWJWIQBm7oDRptlkqDt8MJr1GZ+D2o5gzMcTUGnkq46wbMYlPkqSkKa6cpKGEDmBG09vWY1WI6HJ5CA3aSC0xcDA8BW4k1Uj1kFEcO03KI+y/EVn0R2M6tBiXiSQzTBQlNgh08sweK5U4uQiEV4x/XDdav5XU8yzeHhZybx3MlFDNo1+C/v2okec2aReMihxV984hC++/QEHj82i/ErPgQjKWymHQVNZcoGhzhOwH1HBovets+qwb7NFpya9EAuFWPAtv65lVEnh0wqalr1LWm8Ny+7oVFKiz4vyqGSSyCTiuALNW8GO6m/xWxrbN8G3qMVI5eKsW1Aj3MzvrrcPyGEEEIIIYSQqyK50WYbXI/Ua+TYo5GvalGJxNMQixgoG1SaMDZkwKvnV7Doia67rugJJmq2+b1V3bSnB0+emMePXpjG3k0WiEQMlrxRDG7wug+prSM77Hjl3ArOTntxYKsVJy64cP6KHx9529aabOC1m1T4448exD88cgpf+eHZ/Mc1Sin6rWrcsrcXvWY1wADpNI8UyyHN8kileTj9Mfz8lSs4OeHGp+7fjpGe8lvMXf44PMEE7i1xvZqsVdNXyqeeegp//Md/jFis8ov8Fy5kdiO/733vw2/91m+VvP2Xv/xlXLp0CR/84AfxxS9+ESKRCCzL4k/+5E/wk5/8BF/+8pfxZ3/2ZxUfRydwB662obj88ZoEiWLJNEQMA7m0e0eGWPUKqOSSDS9iBaJJGDQy2E0qTMwHanNwTcLmGonaIUikudpIVMqTx+fQZ1Vj92jxHcfBWGpN9aVFr8Cim0avkOabXQlDIRPDZlz/TUivJRPKWPJEYTepsOKPwaSTQ1bitV4iFsGsl8PVQmFIQRDA8QLEbdCQ1iqshsz5gTsQLxgkOjfjBccL4HgOpyY9OLLD3rBjm3OG8dWfnseyN4Z7Dw/ivbeMrgmJyWVifOK+MeweNeGbT1xELMk27CIAKcycrSLet8WSD30Vc9/RQZya9GC0V1d095GIYeAwqlouvEjqI5FicWrCgxt392z4HJNhGFj1SniCFPLuZAvZc+96NRIBwM4RMx55dhLeYCL/WkcIIYQQQgghpPZqMdpsPYWugdbT9iEjAKxbUHBu2ot5VwT7t1gaelyNJhaJ8N6bR/AvPzmPY+MrODRmhzsQx5HtjbveTErbPmSERinF8XEnxgYN+O7TExh2aHH7/r6aPYZRK8cffeQAXr/khkkrR79NA71aVlYj1+lJD7715EX8/779Bu47Ooh33ThS1sby3MawXSOmDR9/t6nJ6v/Kygr+8A//EJ/97GfB8zwslspf8MbHxwEAO3fuLHnbUCiE73//+9BoNPj85z8PUXbhQSKR4Atf+AL0ej1+8IMfVBVo6gTua9pQXDVqRoklWKgUko6t1isHwzBwmFVY2eAiVjCSgl4jg8Oogi+URCrN1egIG4/jMo1E7TBKSCkXQy4TlwwS8byAH784jedOLpa8z3A0DZ16dZAos1iVAF+juZ2EVOvKShhDdm3R8ZY95sxYsiVvZgHO6YuXParMZlTB5W+dhVmWa5+GtFaR2+niXudc4eSEB1qVFAaNbM1s5HrhBQG/ODGH//Ht1xFLsvi9B/fhg3dsLvqG4OA2G774qcO4aU8PDm6zNuQ4SWH9VjUOb7fhfWWOwtvSb8A9hwdw18H+krd1mFVY9lJQtxucnPAgxfI1Cy+a9QoaO9vhFt0RKOWSuo633DpgAADMOsN1ewxCCCGEEEIIIUA0kWkNUjS4Hb0eLHolLHoFLs7613wuFE3h3x67gD6LGvcfHWrC0TXWdWM2DNm1ePTFGSx5ohCEq+sTpDVIxCIcGrPh9KQH//eXEwjHUvj4vWMQ1XjztkohxS17e7Fr1AyDRl529mDvZgv+x6eP4IZdDjz26iy++M3XMLMcKvl156a9sBmUsBnp+Vapmqy2ffnLX8ZPfvIT7Nq1Cw8//DBGR0crvo9cI9GuXbtK3va1115DIpHA0aNHodGsTnCq1Wpcf/31SCQSeO211yo+jk7gDsahlEsgFjE1G50VS7JQ0S5/9Jg2vogVjKagV8thN6kgoHZhr2bINRK1QwMIwzAwauTwh4svJHmCcaRZflWz13pCsRR0b2kkMusVYDkeoWhqQ8dLyEawHI95VwRDjuIjPpVyCUw6efbEXYDTF6sgSKRcN4DSDO3UkNYqrPr1g0Qsx+PMlAd7N1tweLsdZ6e9iCbSdT2eYCSJf3jkNL73zCR2jZjxpU8dxs4ydwmYdAp86v7t2NJvqOsxkuKkEjF+89270GcpvxXkwTu2YP/W0gGwHrMa3mCirQPYpDzHx50w6eTY3F+bUYW5kDfpXAueKPqt6rpuesld3KRAIyGEEEIIIYTUVzSehrqDig3Ghoy4PB8Az1/dfM4LAr7+2AXEEiz+y7t2lpwQ0AlEDIP33zoKTzCBh5+ZAICyGs1JYx3ZYUeK5fHKuRXcebC/5BpTo6kUUnzq7dvxOx/Yi3iSxf/49ut4+ezyurdnOR4X5wLYOUptRNWoyWrb6Ogo/vqv/xrf//73sW3btoq/XhAEXLhwAVarFU8//TQeeOAB7N+/H0ePHsXnPvc5TE9Pr7r95OQkAGDLli3rHg8AXLp0qeJj6QTuQBw2oxIWgxLuGrVFxBIslBucR9oJHGYVApEU4km26vsIRpLQa2SwmzILuM4NjkprpnZrADFq5fBHijcSLXkyPw93MA6hSKuQIAgIx1LQqldXYeZGBdGCFWmmJU8ULMdjuIyTvF6zGkueGCLxNGJJFvYyU9l2gxLRBJufWd1sHJ97PeqMN5iNIJeJoVPLCgaJLs0FEE9y2L/FgiM77OB4AW9cctftWE5NevDn/34Cl+cD+Ng92/CZ9+9eMzqSdDdHNoC95KFF/E4WiadxfsaHw9vtRRv1KmHWKxBPsnUPQ5LmEAQBi+5owYr4WlLKJdBrZBsec00IIYQQQgghpLhIPF2XsWbNsn3QiGiCxbwrkv/YL19fwNlpLx68YzP6bfV9P9tKdo6YMDZowMW5AIDM9T7SWjb362HWyWHUyvHemysvjmmUPZvM+MtfO4LNfXp895cTCMUKlztMLgSRTHPYNUxBomrUJBnyG7/xGxv6+vn5eUQiEUQiEfz5n/85Dhw4gCNHjuDChQt47LHH8Nxzz+FrX/saDh48CABwuzMLWVZr4d3LuY97vd4NHdd6ZDIJrNbWSuBdyx9OYrhXj2SKgy+YqMmxpjkBeo28pf/djbBtxAw8P42kAAxW8b1IsxyiCRZ9Ni12brEBACIpvi2+r4WOUaXO/I7ZbVqYs80WrazHqsGZSU/R73fw7AoAIJniIFfJodcUHpEQiafBcgJ6bbpV97clG65K8oW/Z6R5uunncWo6M/N1/w5HyX/3pgEjnnj1CuLZko9tI+ayvlebhzInXmkwLfG9FQUzYRijQdUSx9MqSn0vei1qBKLpNbe78MI05DIxbj00BJlEhB6LGm9OePD+uyoPjBeTZnl8/afn8NjLMxjp1eH3P3IQgw5dTR+DdIYdmzOtYwuuMIZ7dPR73qFef/UKOF7AvTeM1OxnvGnQCADgGFHbP2/a/fjrweWPIZ5kyz5/2Yghhw6eUJJ+DnVA31PSjeh5T7oNPedJJ6PnN+k29X7OpzgBBq2iY363bjwgwdd+Po55bwzX7e7F1EIAP3huCkd2OvDgPWMd07xUrl97z278wT++CKtRif4+Q7MPZ41Oed5txF/8xg2QiBn021r/e/G7Hz6Iz/zts3js2Bw+++D+NZ9//MQ8xCIGNx0cgErROQHFRmmJGpHx8XEAgN1ux49+9CM89NBD+Jd/+Rc8/fTT+NSnPoVoNIrf/d3fRTKZaRKJxTK7AJXKwsEFhUKx6nbdhOMFOH1xOEwqOMwqLHsjRVtVyhVNdFYCuFq5F82Fa5LDlfCHMs9hg1YBlUIKo1aOJXd199UKWLa9RgmZ9Qr4Q4l8c0kh885w/r9XiowuCGabjQya1Y0ZtmyC2kW7lUkTjc/4oFZI0GspvZthwK5FKs3h1OVMSLfXWl6daE92dFGrtIO0W0Naq3CY1WvaFQRBwInzK9i/1Qq5VAyGYXDr/n6cnfLAF6pt29oPn53AYy/P4F23jOJvP3sLhYjIunKvTYtVnoOR9vDCyQX02zQY7avNWDPg6rlZO7eAkvXNrWTO3Yd76v/3o8+mwYKrNu+vCSGEEEIIIYQUFomlO6qp3KxXos+qxplJDxJJFn/znTegU8vwmQ/u67oQEQCMDZlwz9EhXL+rp9mHQtYx3KNrixARkFnfevctm/CfJ+Zw8YpvzeffvOTC2LCJQkRVaolZVffccw+ee+45iEQi2O32/MclEgn+4A/+AMePH8f58+fxy1/+Em9/+9shFmdmRZZ6geV5vi7Hm0qxCAZrMzKs1nyhBFiOh1ouhkzMIJ7kMDXrg169sT+64WgKYhvgdodL37iDSQQeIobB5Ste7Bo0VPz100tBAIBY4OF2h2HVK3BlKdjS39dc+rbQMQayvwcBfwypeOHauFYiFzPgeAHTs14Y1mkaml4IZEaghZO4fMULk6rwH5cr84HMf3D8mu+NTiXF7FKgpX+u3aTYc7gT8byA4+eXsWvUDK+39IK7Tp75m/ry6UWIRQxEHFfW90oi8GAATM35sHOgdgu+1XJmg3/xWLJrftbFlPu81yokcPtjWF4J5kNYV1ZC8AQTePdNxvzX7x424HsC8MRL07j70EBNjjEQSeIHT0/g4FYr3nPDMIIBWuQnxZl18nyYm37PO48vlMD5KS/efdMIPJ7aBcYkQuY94fS8H1t62uMiyFt127lMJc5PZoLQailT9++PQSVFNJ6uyftrkkHPbdKN6HlPug0950kno+c36TaNes4HIwn0mJQd9bu1pU+PY+NO/O/vvokldwS//6F9SMVTcLfBulo9PHjbJgCt9fpJr+nt6879vXj2jXl85ZGT+POPH4JIlMmPhKIpTC8G8b5bRrv657qRlq2W2LbPMAx6enpWhYhyRCIRbr31VgDAuXPnAFxtIkokCu+Kz31cpeq+2YruQCbYYTUoYTdmvk9u/8ZDT7EEC5W8JXJnTSURi2A1KrHirW6xMxjJnBTkQix2kwrOGvx8moXlcw0g7ZGaNmoz33d/OFnw87wgYNkbw+5RMwDAHVi/eSMUzfwsdQUWESwGJTzB2rZ2EFKuycUgwrE09m+xlHX7Hkvmb+W8KwKLQQmxqLxTA6lEDINWDleLvIZx1EhUFatBCUHAqqahNy97wDCZOcM5PWY1Bu0aHB931uyxH31xGizH44HbN9XsPklnc5jVWHB175u+TnfiggsCgCM71r4n3AiVXAKlXAxPkfM60r4W3REYtXKoG7CzrCfbblWstZQQQgghhBBCyMZEEmzHTUgZGzIikeLw0tll3Hd0CNuHTc0+JEI6hlIuwYN3bMacM4LnTi3mP34+21C0a5R+36rVFqttFktmMTQXELLZbAAAj8dT8PZud2ZXotVqbcDRtRbXNUEimzFb4+/f2A5/jueRTHNQKShIBGQuIC9XORohNw4rFz6xm1QIRVOIJdiaHV8jsVx7jTYrFSTyhRJIpjkM92ih18jywbxCwrFskKhAY5FFr6DFKtI0pyY8EIuYfCCuFLVCCn12RF8ugFouu1HZMkEilm+v16NWYTVkxsFeG5w8NeHG1n7DmgrhIzvsmFkOwbXB8wogMyL0xTPLuONAP+zG7gt+k+r0mFRYdNNYoU51/IITww4t7KbaviYwDAOLXglPizbKko1ZcEfRV+ZY1o1ymDPPzWrfCxJCCCGEEEIIKY7leCRTHNQdth45NmgEA2CkR4f33DzS7MMhpOMcGrNh+5ARP3p+Ol8EcW7aB41SikF7ezaUt4KWWG176KGH8Du/8zt45ZVXCn5+YWEBAOBwOAAAW7ZsAQBMTk4WvP3U1BQAYNu2bbU+1JbnDsQhYhiYtHJY9AowDDa8yBtPcgBAjURZDrMKTl8MPF/5IlYwmgIDQKfOhE/sNQp7NQvLCWCAfE1cqzNqMwvm6wWJljyZn0OvWQ2rQQlPkSBR7mepKRgkUsIbSlT1HCFkIwRBwJsTbmwfMkJZwWt2rzmzAOeocPHWZlTWJFRSCyzbXg1prcJqyLYXZl/vXIE4FtzRgo1Wh8cyLSG1aCV6+NlJqOQSvPPG4Q3fF+kePWYV4kluVYMW6QwrvhhmV8I1byPKsegV1BbZgViOx7I3in6rpiGPZ9IpIJOIqm6nJYQQQgghhBBSXDSeBgBoOqyRSKeW4b9/YA8++/7dtBGWkDpgGAYfedtWJNMcfvDcFHhBwPkrPuwcMUHE0JpRtVri1Wp+fh5PPPEEfvzjH6/5XDKZxFNPPQUAuOmmmwAAhw4dgkKhwKuvvopYbPVFvGg0ildffRUqlQoHDx6s/8G3GHcgAZNODolYBIlYBLNOkW8pqlYskfnDTY1EGT0mFVhOqGpXcyCSglYlzY8OcpgyC7jtGiTiOB7iNjrpyXzvmSJBosyYgl6LGla9sujvTjiWhlopLTgGyqJXgOMFBCKFH4eQelnyxuDyx8sea5bTa8kEiSptgbAZVQjF0ognm9+q1m4Naa3CoJVDImbyQaJTlzOtjvu2rm11NOsV2Nqvx/ELrg01wpyd9uL8jA/vvGG44y4KkPrKhR0XnJEmHwmptePjTjAADm+vV5AoM3aW2qw6i8sfB8sJ6G9QI5GIYWA3qbBCjUSEEEIIIYQQUheR7PSOThttBgB7Nlmg18ibfRiEdKxeixp3HxrAS2eX8fzJRYSiKewaobFmG9Hw1balpSVMTU3B5/PlP/bAAw9ALBbjZz/7WT40BADpdBp/+Zd/icXFRdxyyy3YuXMnAEClUuE973kPgsEgvvjFL4JlM39YWJbFl770JYRCITz44IPQaBqzM7GVuAPxfLsAkGuL2GCQKLtArJJ33h/uauQq7au5gByMJFedKNiMSjAAnL72HLXA8UJbtX+IGAYGjXz9IJE3Cp1aBo1SCqtBAX8oiTTLF7xtKJbKj6h7K0t2VBDtfCeNdmoiGwLZUtloz3yQqMLRZra3tNk0E402q44oO/In9zN8c8KDfqs6/7N9qyM77FjyRLHgjlb1eBzP45FnJmEzKHHHwf6qj5t0J0e2PW3BFW7ykZBaEgQBx8ed2DZoyI+hrTWLXoFkmkM4u7ORdIYFdyZU2Gdp3Pv+HrMKy97q/gYSQgghhBBCCCku10ikVtB6JCGkcu+8cRhGrRzf+c/LAICdFCTakIavtn3+85/H/fffj4ceeij/sc2bN+OP/uiPAACf/exn8cADD+Czn/0s7rrrLnz/+9/H6Ogo/uqv/mrV/fzu7/4uRkZG8Oijj+Lee+/FZz/7Wdx777149NFHsXPnTnzmM59p6L+rVawNEqk2PHYmlk0AK+XiDd1Pp+jJLmItV1FpH4ymoNdcDZ9IJWKYdIq2bSRiOb7tFu2NWjn84cIBn2VPFL3ZoJjVoIQAwLvO+JRQNAVdgbFmQGbXO9Aa4QrSXd687MFIj7bihdj9Wyy4ZW8PNvXpK/o6WzZ4tNHAai3kR5tJ2ifc2CqsBiXcgQTCsRQmFgJFg2jXjdkgFjFVjzd78cwyFj1RPHDbprb7+0Gaz6CRQSmX5MMDpDPMOSNY8cVwuE5jzYCrIW8vhbw7yoI7ChHDoNdSWaPiRjhMKngCCaRZrmGPSQghhBBCCCHdIh8kUtKEFEJI5RQyCR68YzMEAei3amCgFrANaZkVnF/91V/FN77xDdx0002YnZ3Fs88+C4VCgd/8zd/ED37wA5jN5lW3NxgM+N73voePfexjYFkWzz77LEQiET796U/jW9/6FtTqxtSbt5J4kkU4loY1e6EcyLRFRBMsIhvYfZsLEqkoAQwgM5tVo5RWHyR6S4uNw6SEs03r8VlOgLiNGomAbJAoklrzcUEQsOSN5ptZrCWaVkKxNLSqwo1EZh0tVpHG84eTmFkOVdxGBAAGjRyfuG875NLKAqO535ONjtAs5PJ8AK+eXyn79vnRZgXGDZLirAYF3IE4zkx5IQjAga3rj8bTqmTYMWzC8XFnxSOC4kkWj74wjS39ehzcVvnzlBCGYdBn0+DEuBP/8dSlNf977tRisw+RVOH4uBNiEYPrttnq9hgU8m4uluPx+LHZmo9CXXRHYDcpIZU0bsNLj1kNAe3bKEsIIYQQQgghrSySyKxlamg9khBSpUNjNty+vw93Hxpo9qG0vbpEOv/jP/6jqs9df/31uP7668t+HIPBgD/90z/Fn/7pn1Z0fJ0qN0bpraPNgMxFc02VM0WvjjajBHCOw6yqeLQZLwgIRVNr0o82kwrHzmcWZBmmvUI5HMe33aK9USvH6SnPmu93IJJCPMmVHSQKR9cfbSaViGDQyOAO0gIDaZxTkx4AwIEt64dAak0pl0Cnlm24+e6t/OEkvvLDM0ixPA5utUJWRsApFyRqt3BjK7AalIglWbx0ZhlGrRxDdm3R2x/ZYcO//fwCphZD2NxffovVE8dnEYql8dkHtrTd3zvSOm7Y3YOfvDCF1y+5Vn2c5wU8e3IRKrkEh7fXr9mG1BYvCDh+wYldI6aq36uUw6KnkHczXZj14wfPTcGgkeGGXT01u99FdxSD9saOM3eYro657rd13yh1QgghhBBCCKmnaDyzHqmu4zUCQkhnYxgGH7tnW7MPoyNQMqSD5AIPhYJELn8cIz26qu73aiMRPV1yekwqnM4u2pcrEk+D44W1jURGVaZNKp6Gbp2Gm1bF8gIkbbZob9DIkUrziCfZVS1bS54oAKA3O7pOr5FBKhEVDBKlWR6xJLvuaDMAsBiUtFhFGurkhBs2gzIfhmsUm0FZ09FmgiDg3x+/gGj2b8/lhQB2jZhLfFWmIQ0ApDQuq2K584ZL8wHccaCvZMhn/xYrpJJL+PmrV7C/zOAazwt46sQ8juywY7S3uvMRQgDgA3duxQfu3Aq3O7zq4xzP4//9zpv49pOXsKXfUPGIR9IckwtB+MNJfOC2TXV9HKVcArVCAjedmzXF9FIIAOAJ1O77n0xxcAfiuGGXo2b3WY5ckGjZG23o4xJCCCGEEEJIN4gm0hAxDBSyxjXPEkIIKYySIR2kUJAoP3ZmA20RsSQLhgHk9Ic7r8esxotnlhGJp8vePR3MjtPSv6WRyG7K/Iycvlj7BYk4HuI2W7Q36TLff184WThIZM2EMEQMA4teAXeBBY9wLPOz1K7TSARkdr5PzAdrdtyEFBNPsrg468edB/sb3vRiMypxYdZfs/t75s1FnJ/x4YO3b8aPXpjGuWlfWUEifzjzu6qg9ryKXXvesL+M0XhKuQSHxmx45dwKzkx5y34ctUKC9986WtUxElKKWCTCr79jB77wjRP4+mPj+NyD+yCi5quWd2zcCZlEhH0NaNOzGJTwUFtkU+SCRLUcLbfkjUIA0GdtbCuQXCaGWSfHcpuOpiaEEEIIIYQ0x6U5Px59cQa/88G9kJfRvt6togkWaqWE2swJIaQF0GpbB3EH4vndtjlyqRgGjWxDbRHxJAuVXEKLMddwmK9W2m/uK2+sSzCaBIA1jUT2a+rxt/QbaneQDcBxAiSi9npe5EbLBcJJ9F+z8LDkjUKjlK4Kc1kNyoILHuFYZk6vvkjwy6JX4sS4CxzPQ9xm499I+zk77QXLCWWFQGrNZlTilXMrSKW5skaQFbPkieKRZyexe9SMew4P4PwVH87N+Mr62lOTXoz06Oo6GqdTWQ2ZkT9KuRjbBg1lfc2n7t+O999aWYOISi6hUDKpK7tJhQ/dsQXffuoSnn5jAW+7juZgtzKW4/H6RRf2bbFAIav/21KLXoFFN7XINJogCJhZrn2QaMEVAQD0WxvbxAhkWolWvBQkIoQQQgghhJTv5IQHl+YDuDDrx77N9d9M064i8TTUCrq+SwghrYBWtzuIO5CA1aBYk9S1GVVwbuCibSzBQkkND6v05MI/FVxAzjUSGTSrwycWvQJiEVPT0UCNwvJt2EikvdpIdK0lT3TNSChbNkgkCMKqjwej5TUS8YIAfyi57m0IqZVTEx5olNKyg421lBuhudFxMSzH42s/G4dcKsYn7x8DwzDYNWLCkicKX6j4ffvDScwsh3BgK70Jr4ZCJoFZJ8e+zRZIynxNF4kYGLXyiv5HISLSCLfu68WeTWb84LkpLHooNNLKxq/4EYmncWSHvSGPZ9Ur4Q0l1pzXkfpyBeKIxNOZkcE1HC234I5CJhGtatVrFIdZjWVfjJ5LhBBCCCGEkLLNZzdDnJ70NPlIWlu0gikghBBC6qu9EgCkKHcgXvBCqs2ohHujjUQKChJdy2LIhH+WfeUvUAUiuUai1aPNxCIRLAYlVtqwHp/jBEjEbdZIpL3aSJQjCELBIJHVoEQixSEST6/6eG60mU61/gmtVZ9p+KjlggkhhbAcj9NTXuzbbIGoCQ1hNkMmWLmREZoA8NOXZzDrDOPj927LN4ftGs2MNCvVSnQq+wZ8XxMamTrFH374AD7ytm3NPgxCNoxhGHzyvjHIpWJ87afnwXJ8sw+JrOP4+ApUcklZ4ytrwaxXIM3y+UA4aYzcWLM9m8zwh5NIs1xN7nfRE0GvRd2Uc58eswrJFIdAhJ5LhBBCCCGEkNIEQVgVJKJNCeuLJtKrpq4QQghpHgoSdQheEOAJFg4S2Y1KBKMpJFJsVfcdS6ShokaiVcQiEewVVtoHoykoZOKCjQwOoxJOXxs2EnF82e0VrUIiFkGnkq5qJArF0ogmWPRmR9bl5H6f3IHVYaBQLkhUpJHInP1aT7D9fq6kvVyaDyCeZLF/S3PaeHKNRBtpVZtcCOKxV2dx424HDm6z5T/ea1bBqJXj7LS36NefvOyG3ahc8ztMymc1KCk0TDqGXiPHJ+8bw5wrgp+8NNPswyEFJNMc3pzw4LoxK6SSxpxL5sY4eijk3VDTSyHIpKJ8dX+tvv8L7ij6mjDWDLi2nZZazwghhBBCCCGlhaIpROJpDNm1CERSmHNGmn1ILSsaZ6GmRiJCCGkJ7ZUAIOsKhJNgOaFgkCj3sWoXeWNJGm1WiMOkqqhFKBhJQa+RF/yc3aSCyx8D32ZJdJYTIG6zRiIg00qUa4gCMmPNABRoJMq2Cr1lNGAomoJMIoJcuv6YHpNWDoYBPAFarCL1deqyBzKJCDtGTE15fI1SCrVCAleVIzTjSRZf+/l5mHUKfPiuras+xzAMdo+aMH7FD44v3CoST7K4MOvH/i3WNaM9CSHda/9WK27e04PHj83i8nyg2YdD3uLMlBfJFIcj2xsz1gwAzPpsyHsDI59J5aaXQhh26GA35RoMN/79D8VSCEVT6LdqNnxf1XCYM+8ZltuwUZYQQgghhBDSePPuTHDovqODYEDjzYqJJNJQKyhIRAghrYCCRB0iF3TIBR+uZTeqVt2mUjEabVZQj1kFlz9e9siMYCQJ/ToNNnaTCimWXzVuqx1wHA+JqP1eRkxaBXyh0kEiS76R6K1BojS0KlnR0IJELIJJK6dd76SuBEHAyUk3do6Yigbb6s1mVFa9MPj9ZyfhCSbw6XfsKBha3TViRjzJ5kejvNXZaS84XsC+JjUyEUJa14fu3AKLXoF/+/n4umFE0hzHzq9Ar5Fh26CxYY9p0VMjUaOlWR7zrjBGe3XXNH1uPEi06M6cuzcrSGTQyCCXibFcQTstIYQQQgghpHstuDLvYXYMmzDap8PpKQoSFZJMcUimOKiVtB5JCCGtoP0SAKSg3OilujQSJVio5JQAfiuHSQWOF8q+GB6MpmDQFA4SObKjgZxttquV5TukkcgbhUouWRP0kkvF0Ktla37G4Viq6FizHIteSaPNSF3NOSPwhZJND9FYDUq4/JW/fs05w3j+1BLuOjiArQOGgrfZMWyEiGFwbtpX8PMnJzzQqqTY3Kev+PEJIZ1NKZfgHTcMwxNM1KQFhdRGLJHG2WkvDo/ZIRI17jxSLhVDp5LSuVkDzbnCYDkBoz066FRSyKSiNSODq7GQ3c3b36TRZgzDoMekotFmhBBCCCGEkLLMuyIwaGTQKKXYu8mCmeUwgpH22lTeCP/5+jwAYKyBm44IIYSsj4JEHcIdiINhALNubSORSiGBViWFs4oFFI7nkUhx1EhUgMOcaXpaKXMnaiCagl69/mgzAFhps0UuluMhEbffy4hRK0cknkYqzQEAltxR9FrUBRuGrAZlwdFmOlXpcJ1Fr4DTH0cyxdXmwAl5i5MTbjAMsHdzc4NENqMK3mCy7IY2INOm9Mizk1ApJHjXTcPr3k6lkGK0V4dzM941n2M5HmemPNi72dLQxWhCSPsYsGUaS3Ltg6T53rjsBssJOLKjcWPNciwGJTUSNVCuTXC0VweGYQqeV1dj0R2FRiktK9hfLw5zZWOuCSGEEEIIId1rwR1Bf/b6RO467umptdc6u1kwmsJjx2axf4tl3Q2nhBBCGqv9EgCkIHcwDpNWsW6oIzN2pvILnfFkJgChKjBuptv15MI/ZVxATqRYJFMc9Os0Ehm0csgkorZrJMqMNmu/xXujJhPoyrUSLXmj6LWoCt7WalCs2TkdiqWgLWPhYu9mC8LRFL74zdcwuxLe4FETstbUYhCDNi10quYtpAGA3agELwjwhspfnD077cX4FT/edeNIybnXu0ZMuLIcRjiWWvXxS3MBxJMcDmyxVnXchJDO12PKNJZQkKh1HB93wmZQYqRH2/DHtugV8NSgEYeUZ2YpBINGBlN2s4tVr4S7Bo1Qi+4I+q2FNwE0So9JBW8oSRsGCCGEEEIIIUWxHI8lTxQD2dHM/VY1zDo5Tk/SeLNr/eTFabAsjw/cvrnZh0IIISSLgkQdwh2Iw2pY20aUY6ty92c8yQIANRIVoFJIoVfLsFxGI1Ewmln8fuvorBwRw8BmVLVdkCgz2qz9XkaMukyQyB9OIhRLIRxLo9dceDSC1aCEL5zIN60IgoBwLL3uz/Ja143Z8Pu/sh/JNIf/8e3X8eTxOfCCULt/COl6K744esyFQ3CNZDNWNkKT43k8/MwkbEYlbj/QV/L2u0bNEACcv7J6vNnJCTdkUhF2DFPdLSGkMLlMDItegaUyGyRJfQUjSVyY9ePwDntTQiAWvRLeUAI8X/n52II7gqmlYB2OqnNNL4Uw2nt19GiukUjYwPkwLwhY8ETRl70I3yw92fcO1EpECCGEEEIIKWbFFwPHC/lGIoZhsGezBeev+JBmaWMCkNks8vzpJdy2vw8OU/OvdRNCCMlovwQAKcgdSMBqUK77eZtRBV8oWfGJSSyRDRJRI1FBPWYVln2ld7gHI9kg0TqNRABgNynbbrQZxwmQiNu3kcgfTmI521DQa1k/SCQIyDetRBMsOF6AtswGmO1DRnzxU4exb7MFjzw7ib9/+BT8YZp/TDYuzXLwhRL50YjNZDNUFiR64fQylr0xfOC2zWWNRxx2aKFWSHB++mqQSBAEnJzwYOewCTKpuLoDJ4R0hV6LmhqJWsRrF10QBDRlrBmQaSTieCHfSlmuUCyFv/3eKfzjD86A48sf49nNwrEUXIE4Rnt1+Y9ZDQqk0jxCsXTV9+sLJpBMceizFj53b5T8mGsKEhFCCCGEEEKKWHBFACDfSAQAezdZkErzuDgXaNJRtZZHnp2CQibBu24cbvahEEIIuQYFiTpAMsUhFE2VCBIpIQBrRjSVEqNGoqIcJhVWvLGSu2pzjUQGtbzofXkC8bZanGA5vqwQQKsxaq8GiXINBcWCRADyjV650Uo6VfFRTNfSKKX4r+/dhY/fuw2Ti0F84d9P4NQEVZeSjXH54xCQGSvWbDq1DHKpGM4yRmjGkywefXEaW/v1OLDVUtb9i0QMdo6YcG7Gl3+9nXWG4Q8ncWArjTUjhBTXa1Zj2RurqoWG1NbxcScGbBr0rXPeVW+WbIOrJ1j+eyJBEPCtJy4iFM20WF644q/X4XWUmeUQAGC059og0erz6mosuDOhwP4mNxLZjUowAJa9FFIkhBBCCCGErG/eHYFYxOQ3IwDA9iEDZFIRjTcDcH7Gh7PTXrzzhuGyN28TQghpjPZLAJA13MHMhdhSQSKg/LaInFwjkZIaiQpymNWIJliE48V31eZ2PRdrJLIZleB4oaKFjWZjOQHiNmwkUsolUMjEmSCRJwq5TJwPF73V1QWPzM8llA2F6coYbXYthmFw674+fOETh2DSyvFPPz6bvy9CqrHiy7yet0IjEcMwsBmVcJfxN+bxY7MIx9J48M4tFY212TViRjCawnx2F8+blz1gGGDPJnPVx00I6Q49FhVYjs+fM5PmcAfimFoKNa2NCMiMNssdS7leOrOMkxMevO+WUSjlYhwfd9br8DrK9FIIDAMM92jzH6tNkChzHtCsMFqOVCKGxaCgRiJCCCGEEEJIUQuuKHrM6lUbsqUSMXYOm3B60rOh0c/tjucFPPzMBCx6Be482N/swyGEEPIWFCTqALkLsbYirRT5sTMVXrSNJTMBGRptVlhPrtLeW/wCcjCSgljEQK1cv8UmN/vV2SYXowVBAMfxEIva82XEqJXng0S9ZvW6gQa9RgaJWJT/PcuNYtBVmY7vMavxoTu3gOMFzDnD1R08IQBc2fYfu7H5QSIg8zeo1N8YbzCBX7w2j6M77Ri5pqGgHLtGTQCAczOZ8WanJtzY2m+gnSqEkJJyrYM03qy5TlzIBHAOb7c17RjMukwjkbfM4L4rEMf/fXoCY4MG3H/9EA5uteGNy26k0pWNi+5G00sh9FnUUMiuvo+06DPf/40EiRY9UZh1ipbY6NKTbTurFMvxiCXSBf9X6SIC38WLDoQQQgghhLSDBXcEA7a1GyH2brbAG0pi0d291ypeOruMBXcUD9y2CVJJe64zEUJIJ2v+1TeyYbmmlGKNRBqlFEq5JL/wXK5onEabFZML/yx7o9g6YFj3dsFoEjq1DKIi7Rv2fJAoDmyq6WHWBS8IEABI2rCRCMgGiSJJeEMJ7BoxrXs7EcPAalDkm1ZyLULaChuJrjVgz4ximHNFsGuU2lTq7V9+dAbeYBy/8Y4dzT6UmlrxxaBTSVvm9dlmUOL0pAc8L0AkKvy68MMXpgAA77+l8hc5g0aOfqsG56a9uG7MhgV3FB+6Y/OGjpkQ0h16zVeDRPu30DjEZjk27sTmfn2+FagZpBIRDBpZWe1UPC/g3342DhHD4NPv2AERw+DIDjteOruMM1OZv0WkMEEQMLMcwsFtq3/fZFJx5vtfZZAoGEni4pwfI47Kwsj14jCpcHHWD14Qir7PuxYvCPizr59Yd/PI9iEjPvvAHsil4qL3w/E8vv7zC1j0RPGFTx4q+/EJIYQQQgghjROJp+EPJ9FvWzuaOdeyfnrKU/DznS6RYvHjF6exqU+HQ/T+mhBCWhJFPDuAOxCHUi6Gushicm7sTKWjzTzBOJRySUvs+GxFZp0CUomoZKV9MJKCochYMwDQZsNeKxWGvZqF5TK7X6+t5GwnRq0cy94ogpFUvqlgPVaDMr/gEY6lwCDz86qWWiGFWSfPj2gi9XVm0oOzU96Oq4l1+mItMdYsx2ZUguUE+MKFWx5mlkM4dt6Juw8NwJxtJKjU7lETJhaCOHZ+BQCwbysFAgghpSnlEhi1cix52uMcqxMtuCNYdEdxZHvzxprlWAzKshqJHj82i8nFID5291aYsk1GY0MG6FRSHL9A482KcfrjiCZYjPbq13wuc15d+SjnWCKNv3v4NOJJFm+/YagWh7lhDrMKKZaHL1T+v2dmOQSnL4Zb9vbiQ3duWfW/t18/hIuzfvzzo+fAcvy69yEIAr715CUcG3di3hXBxHygBv8aQgghhBBCSK0tZK//D1jXBoUMGjmGHVqcmvQ0+rBawpPH5xCMpPDgHVvWnRZBCCGkudozAUBWcQfisOqVJf/Y2qsIEjl9MThMpe+7W4lEDOxGVclK+0AkBb1aXvQ2DMPAYVJiqU2qLLlckGid5pFWZ9TKEU9mxlLkmgrWY9Ur4Q7GIQgCQtEUNCrpuo0r5RqwaWm0WQNwPI9lTwTReBqReLrZh1NTTn+8xYJEmWNxF/g7w/MCvvv0BHQqKe4/Wv3i364REzhewBPH5tBvVefHdhJCSCm9FjWWvNWfY8WTLP7muycxtRis4VF1jxMXXBAxTEvsMrToFSWDLLMrYfzkpRkc3m7DkR1Xw09ikQiHtttxetKLeJKt96G2remlzO/JaIExptcG9MuVTHH48vfPYNkbxWfetwebCgSUmqHHVN6Y62udmvBAxDD4wO2bcPehgVX/e/+tm/Cxe7bhzJQXX3/sQsGxZYIg4JFnJ/HSmWXce3gQcqkYx8Yp2EYIIYQQQkgrmndngkTrNQ7t3WzB9GIIoViqkYeV9/pFF46NrzT8cUOxFJ48MYdDYzZs7muN93eEEELWoiBRB3AH4kXHmuVYDUp4Q4miuxvfyumPw25snYXqVtRjVpW8eByKJqEv0UgEADtHzLg8H8DyBha6GoXlM88jcds2El1tRCndSKRAPMkhmmARiqWhU1U/1ixnwKbBii+GVJrb8H2R9XkCiXx7ltNX3RiNVhRPsghGU7AbWydIkzsWZ4HFwadem8PkQhAP3LZ5Qw13m/sNkEvFSKY57KPxRISQCvSa1Vj2RgsuzJfjzctuXJj145Xzjb/A1gnmnGH0WdXQbWA0bK1Y9Ar4w0lwfOH3RKk0h3/92Xno1DJ87J5tazZUHNlhB8vxePOyuxGH25aml0KQy8QFz7FtBiUC4STSbHnnwCzH459+fBZTS0H8l3ftxM4iI4kbrSe7GWG5RDvttd687Ma2QQPUisLtprft78P7bx3F8XEnHvrF5TWNmo8fm8VTJ+Zxx4E+fOD2Tdi/xYLXL7oqeo9PCCGEEEIIKR8vCGW/f3mrBVcEGqUU+nXeC+/dbIYA4OyUdwNHWL3vPzeJ7z871fAm/+PjTqTSPN5143BDH5cQQkhlaF5Vm+MFAZ5gAns3WUre1mZUguMF+EKJfHNEMWmWgzeYwI27e2pxqB3LYVLh9UsupFkeUsnaUA3H8wjH0uueLF7rroP9eOrEHJ48PodP3r+95O1nV8J47NUr4Pi1J3o6tQwfedvWuo0eyzcSidu0kUiTaYiSSUQlxyzlgnruQByhWKomi2CDdg0EAVj0RDFSYLc2qY1r28Kc/hg293fGDodcu5yjhRqJDFo5JGLRmua7OWcYP3p+Gge2WnHjbseGHkMqEWFs0IDTU14c2Fr67x4hhOT0WlRIpXn4gglYqmgzy42yujQXKPtrnn5jAQ6TqqWCD82y4othyK5t9mEAACx6JXhBgC+ULLgZ4wfPT2HZG8PvfWhfwbDHpl4dLHoFjo876X3SOqaXQhhxaAs2eFoNSggAPMFEPoizHp4X8LWfjePcjA+fuG8M17VAo9W1tCopVHJJ2Y1EK74Ylr0x3La/r+jt7j86hGiCxZPH56BWSvC+WzYBAJ49uYgfPj+Nozvs+PDbtoJhGBzZYcexcSfOzfiwbzOdGxFCCCGEEFJr//Sjszg54YFWJYVJq4BJJ8//3z2bzOgrMLYsZ8EdwYBNs+7EjyG7FgaNDKcnPQ1/f+kLJfJtva5AYwsFjp13YtCmKfq9I4QQ0nztWSVC8oKRFNIsD6uheBACQP5EoNzxZi5/HALQUo0XrajHrIIgAC5/4QvIoWgaAgC9pvhoMyAT/rlpTw9ePb8CfzhZ9LYcz+Nff3Ye56/44Q4kVv1v3hXB86eWsFjHMWm5Xa/1CirVm1Gb+Xn0mNUQlRjdtypIFE1Bqyq8g7gSA9nFNBpvVl8r2R3iIubqf3eC3L+llRrjRAwDq0Gx6m9MmuXwtZ+PQ6OU4uP3rm11qMadB/tx/U5HyyxIE0LaQ64ZpZrxZqFYCuMzfmiUUix5oghGS1eOJ1Isvvf0BB4/Nlvx43UaluPhCSRgN7XGewpLNkDuCa4db7bojuDpNxZw+4E+7BwuHADLhTfGr/gRKuO50G3SLId5VwQjvYWD8lfPq4uPlxMEAd9+6hJeu+jCB2/fjFv29tb8WDeKYRj0mFVlt8menMi0WO3fUjzwwzAMPnDbJtyytwc/f2UWTx6fw/FxJ77z1CXs3WTGp96+Pf/+ZeeICWqFBCdovBkhhBBCCCE1x/MCxq/4sblPjwNbrdCpZXAF4njl/DK+/9wU/uqhN5FcZ+IAzwtYdEfRXyQswzAM9myy4NyMD05/rKHNQJfmA1f/u4JNUxvl9MUwsxzC0Z0b23BKCCGk/qiRqM25syNkyhltZsuNnfHHsauM+3ZmF4PtLdR40YrylfbeWMEEdTCaCQQZymyxuefwIJ47uYj/fH0eH7x987q3e+H0Mpa9Mfy39+3Gga2rR/zMuyL4wr+fgNMfw5CjPovtuSCRuMBO43aQCxKVGmsGAJZsUM8diCMcS9VktJlFr4BCJsacK7Lh+yLrW/ZGYdDIoVJI8q9pncCZDRLZWizoaTeqVgWJfvj8NBbdUfzOB/ZCW4PfGwDYNWrGrlFzTe6LENI9cudrS54Y9myq7Gtfv+gCLwh44LZN+OYTF3Fpzo/D2+1Fv+bibAAcL2BmOQSeFwo2s3QLTzABXhBaJvyaa6TyBOLAkHHV5x55dgpKmQTvvXm06H0c2W7HY6/O4rWLLtx5sL9ux9qOZp0RcLyA0Z7CLZDWa86ri/nRC9N44fQS3n79EO49Mljz46wVh1mF8zO+sm57csKDQZsGFn3p8zeGYfCr94whluTwyLOTEDEMtgwY8Fvv2bVqI4dELMJ1YzYcO+9EMsVBLhNX/W8hhBBCCCGErLbkjSKZ5nDb/l7csGt1Y9D4FR/+9nuncGLciZsLbHxwBeJIsTz6bcXXH47usOPFM0v4468eg1knx9iQETuGTNg+bIShjM3p1bo0F4BKLoFEIsLFOX/DNm+8en4FDDJjwwkhhLS29qwSIXmVBIn0ahlkUlHJi7Y5zhZsvGhFDpMKEjGDywuBgp8PRDI7lctpJAIAm0GJQ2M2PHdyEbFEuuBt4kkWj744ja0DhoI7WvOhsTo2sFwdbdaeLyMalRSDdg12lTFuRCGTQKfKtBDEk1xNRpuJGAYDNg3mKUhUV8u+GPpsGvRaNXX9fWg0pz8Gs04OmbS1FotsRiVcgczumQtXfPjFa/O4/UAf9myi4A8hpLk0Sin0ahmWPJU3Eh0fd6LPosaNux1QyMS4OOsv+TVnZ7wAgESKK7utpFPlW/RaZHOCSSsHw6xtJDo/48PZaS/eccMwNMri7ZP9Ng36LOr8yDty1fRSCAAwuk4jkU4tg0xS/D1pJJ7G48dmcf1OB953S/FQV7M5TCoEIinEk2zR2wWjKUwtBLH/LRtAihGJGPz6O3Zg/xYLRvt0+Oz79xQ89zu6w45kmsOpSU/Fx08IIYQQQghZ30z2/c1Iz9r3N9uHjOizqvH0GwsFm4QWstf9B2zFx3eNDRnxP3/9KD5691YMO3Q4NeHB134+js/9n5fx518/Xrdr2pfm/Ng6YMDYoAGX5gINaUMSBAHHxp0YGzLmN3oTQghpXe2ZACB57kAcDACzvvRoM4ZhYDMoyx5ttuKLQaeSQqWg4qpi5DIxdo+a8doFF3h+7clWbuSBvoLwyX1HhpBIcXj25GLBzz9+bBbhWBoP3rG54KgguVQMo1aOFV/9GlhYPttIJG7PHfYihsFffPIwrt9VXoWm1aDEVPaNQy2CRAAwaNNi3hUB38DK0m6z4o2h36ZBr1Xd8HrYelrxxWFrwZCn1aBEKs1j2RvDvz12AXaTqmizGiGENFKvRV3xaDNvMIGJhSAO77BDLBJh64ABF8qo/D4/7YMjG5zJBSu6lSt70dPRIkEiiVgEk1YOT/DqeTLPC3j4mQlYDYqyG4aO7LBjciEIb4ERabU2Me9HONYeY9Sml4IwauXrXhRmGAZWg7JokGj8ig+CANx+oK8mY1HrKdd2VmqE7ulJDwSUHmv2VlKJCJ95/x788UcOrPu+fMuAAUatHMdpvBkhhBBCCCE1NbMShlIuKbgxhmEY3HmgH3OuCKYW177vn3dFwDBAr7n0RAS7SYU7DvTjt9+3G//7v9+ML3ziED54+2Z4ggn86IXpmvxbrhWIJOH0x7F1wIBtg0b4w0m4yiwg2Ijp5RBc/jiO7qQ2IkIIaQcUJGpz7kAcJp287FYYu1GF5TITzE5/vGV2Dre6ozsdCEZTuDi3dod6IJIZbVZJ+GTIocXOERP+8/UFpNnVM3a9wQR+8do8ju60F0zC5zhMKrj81EhUK9ZrQnhaVfFd6uUasGuQTHFlt4SRyoRjKUTi6UxrgFWDVJrPN4S1M0EQ4PTFWmZB9lr2bBvaPz96DqFoCr/xzh2Qt1hrEiGke/Wa1VjyRCsKlZ7INs4c2W4DAIwNGuH0xeAPJ9f9Gqc/BlcgjjsO9EEll2B6ubuDRCv+ONQKScmWn0Yy65WrGoleOruMBXcUD9y2GVJJeee2h7M17Cfq3Er05mU3PvflF/Crf/EkvvLDM3j9omvN+4NWMr0UWreNKCcTJFo/gHVuxgeVXIKRnvqMaK6lfmtmUeDslLfo7U5NeGDWKUruRl5PsUCViGFwaMyGs9NeROKFG20JIYQQQgghlZtZCmHYoYVonfPxozvtUMoleObNhTWfW3BH4DCpKm6UFzEMhhxa3HtkEHce7MfrF11VtSsXcym7QWrbYKaR6NqP1dOx805IxCIc3Gqr+2MRQgjZuO5IAHQwdyBR1liznH6bBi5fDMlU6YvPTl+MgkRl2rvJDLlMXHAXaDCSglohKXtRIuf+I4MIRVN4+ezKqo//8IUpAMD7b9lU9OvtJlXJnbEbwXKZRiKJqLV3CdeK5Zrfs1o1EuUWEuadNN6skNxzrFq553+/TYteS3m7xdtBJJ5GLMm25OtzbqzioieKd944XDTsSAghjdZrVSOR4oqGgN7q+LgTo726fAvc9iEjABQMj+ecm/YBAHZvMmOkV9f1jUSt+J7Cqlfkg0SJFIsfvzCNzX16XLet/LFTNoMSm3p1OFZFC0yaLe8cJxhJ4ptPXMRonx7vuGkU00sh/H+PnsPvfOVlfOPxC7g462+ptsVQLAVPMFEySGQxKOAOxgseuyAIODftxY4RE8Si1r9cYTOqcGCrFU8cn0MwUvi1JZnicP6KD/u3WOrWsHR0px0cL+DNy+663D8hhBBCCCHdJs1yWHBHir6/UcgkuHG3A69ddK15PzDviqDfWt1Ggpy7Dw1AJhXj569e2dD9vNWl+QAUMjEG7Ro4TCro1LKi1zlqgeV4nLjgxL4tFpqCQgghbaL1r8yRolyBOCz68oNEAzYNBAALnuLBhXiSRTCayrdLkOJkUjEObLHgjUvuNQsDwWgKBk3l817HhowYdmjx5Im5/Mi0meUQjp134u5DAyXH2dmNSkQTbN12pbLZYxJ3TSPR1e+3TlWbIFGfRQ0Rw2DORUGit0qmOPzeP72Mv3/kFILR6lqEVryZ0FCfVYPe7Ju2es2UbiRndmRhK74+m/UKSMQibOrV4e3XDzX7cAghZJVecybMUu5OviVPFHOuCI5sv1q5PWDTQCWX4OJssSCRF1aDAnajCiM9Oiy4I2WF+DuV0x+DvcXGcZr1CgTCSaRZHk8en0Mwmlp3ZHAxh3fYMe+KVLQ79PlTi/jtf3gBb1xyFb2dIAj4xhMXkUxz+P2PHMSvvWsX/u63b8TvPbgPB7ZYcOKiC//ruyfx+LHZio65ni5nd7COlggSWw1KJFMcwgXepyx6oghEUtg1YqrHIdbFB27bBJbj8eMXZwp+/tyMD2mWr3isWSWG7FrYjUoab0YIIYQQQkiNzDkj4Hih5EbJOw70g+MFPH96Kf+xeJKFJ5hAf5WNpDlalQy3H+jD8XFnTTfIXprzY0u/AWKRCAzDYGzQgEtzgao3qpya9OCbT1xEPMmue5vxK36EY2lcv4PGmhFCSLvoH7VFJwAApQ1JREFUjgRAhwrHUghFU/mmjXIMltmAkhvh1Iqjc1rVkR0OxJIszs2srrUPRpLQayoPnjAMg/uPDsHlj+ONy24IgoCHn56ATiXF/UdLL9Dndn7XKzjB5RqJuiRIZLu2kahGQSKZVAyHWYV5Z7gm99dJ5lxhhGNpnJv24c+/fhxnpjwV38eyLwaJmIHNpIJFr4RUIoKzjuP+GiX3b2jF12exSIQ/+JV9+OwDe9qiRYAQ0l1y58zlhj6OjzvBMMCh7Vcrt0UiBtsGDevu1EuzPC7OBbBr1AwAGO3VQRCAKyvd2UqUTHPwhZJwmFor/Go1KCEAmFoM4snjczi83YZNffqK7+fwmA0Mg7LDGyu+GL77ywkIgoCv/vQ8zl/xrXvb504t4cyUFx+8fTMG7JkRXyIRg50jJvzaO3bgy5+5CduHjHj6jQVw/MZaHGvlpbPLMGhk2Nxf/HuZa9QtNN431+jVTkEiu0mF2w/04cUzS1hwr32ffXLCDZVcgi0DhrodA8MwOLLDjouz/opa1wghhBBCCCGF5caUlwoSOUwq7Box4flTS/mG/UV35rrDwAYbiQDgnsODkIpFeOyVKxu+LyCz8X3ZG8O27EgzANg2aIQ/nCz4Hq2YUCyFr/70PP7xB2fwwuklfPOJi+uGkY6dX4FaIcHuTeaNHD4hhJAGolW+NpY7Gem3lh8kMusVUMolmC/RgJJLN7fa7uFWtmPYCI1SumYhIRBJQV/lKKwDW62wG5V4/Ngs3rzsweWFIN598yiU8tLVj7m2knqNcmK5bCNRl4w2yy14yKViyGWVzTUuZtCmwXyBBYdud2UlE676vQf3Qa+W48vfP4OH/vMy0mz5jQ4r3swoFbGIgUjEwGZU5tt8ijk96cFffeeNsseOVIrjefzVQ2/i2PhK6RsXsOKLQSxiSraSNcuWfgO0NQrbEUJILWlVMmhVUix5SweJBEHA8QtOjA0a1zRLjg0a4Q4k4M2OxrrW5EIAyTSXD0HkKtBzFyC7jTu7OaHVRptZsn9Dv/XkRfCCgPffWnxk8Hr0Gjm2Dxnx8rnlki2gLMfjaz87D6lEhL/41GE4TCr8nx+exdRScM1tV3wxPPzMBHaOmHD7gb6C9yeXinHnwX4EIimcmfIWvM1GvXx2GX/z3ZNljZv1BhM4O+XFzXt6S4aJiwaJZrzos6hh0rXmec563nXjCJQyCR55dnLVxzmex+lJD/ZuNtd9A8aRHXYIAF67WLztihBCCCGEEFLazHIIBo0MRm3paRN3HOyHP5zEqYnMZtjc9f5+W/lrd+vRq2W4dV8fXj3vhKvCoE8hl+cDALAqSDSW/e+L2ZbZUgRBwLHxFfzp147j9YsuvOemEbz35hG8dtGFX76xsOb2iRSLNyfcODRm65qN6YQQ0gnoFbuN5XY79lWQamYYBgM2DeZcxRtQco0XthYcndOqJGIRrhuz4dSEB4lUpsJREAQEoynoqxhtBmR2Hd9zZBCzK2F884kL6DGrcMvenrK+1mpQQsQwdWtgYfONRN0RJDJo5JCIGWhV0pre74BdA18oWbcRdO1qdiUMnVqGHcNG/NnHD+Ku6/rx9BsL+NK3Xi+407uQZW90VWuPw6gq6/fhxAUXLi8EcalOc6FnlsO4PB/Aj56frqpBwOmPw5IdIUYIIaQyvWY1ljyl/xZcWQnD5Y/jSIHK7bEhIwAUbCU6N+ODWMRgbDBzG51KBotegeml7gwStermhNxoaKc/jrsODuSDLdV4140jCEXT+PL3T+ffAxTy81euYGY5jI/fO4Y+ixqfe3Af9GoZvvzI6VXnNvnAkViET92/HaIi49b2bDJDr5Hh+VNL695mI546MY8Ls/6ygikvnskcw81lvFfJBbncgdVhvGSKw+X5AHaNtk8bUY5GKcU7bxzGuWnfqobayYUgogkW+7dY634MPWY1Bu0aGm9GCCGEEEJIDcwsh0u2EeXsGTXDolfg6WyIZsEVgVIuhrlGGyTuPTIIkYjB469e2fB9XZrzQy4VYyjbfAtkWpV0allZ18O9wTi+8sOz+NefjsNqUOIvPnkI77ppBG+/YRj7NlvwyDOTmFxcvWHm5IQHqTSPozsdGz5+QgghjUOrkG1s0ROFWiGBocKxWYM2DRZcUfBF5p06fTGYdXLIpLVrXukGR3fYkWL5fPI8lmTBcjwMVTYSAcCNuxzQqWWIJlh88PbNZY8LkohFsBgUZTWwVIPLNhJ1S5hBJGJg1iuh28DPspCB/LhBGm92rSsrYQw7tGAYBlKJGB++ayt+94N7EY6m8KVvvo7Tk8VHnbEcD3cggR7z1YVLm0kJlz9eMrwzk22NODlR3ji1SDyNr/98HKFoqqzbn5vOLC55ggm8dqHyHeNOX6zlmh0IIaRd9FrUWPJE163azjk+7oRYxODgtrWL/31WNTRKKS7Orr3Adnbahy39+lXtkaO9uq4NErXq5gSjVg6xiIFGKcU7big9MriYrQMG/Na7d+LKchhf+eHZgo2GU4tB/PyVWdywy4HrxjKj8gwaOX7vQ/sgkYjwdw+fyu8szQWOfvXesZI7XyViEW7e04Oz096CDVkbseiOYMEdAcMATxybK/o7w/E8XjyzjF2j5nxIqxi5VAy9RramkejSvB8sJ2DXSHtW3d9xoB9WgwKPPDMJns98v9687IFELMLOBo1qO7LDjpnlUEeM8yWEEEIIIaRZook0nL5YvmW4FJGIwe0H+nBpPoAFdwTz7gj6rRowRTaGVMKolePWvb14+ewKPMGNrfdcmg9gc79+1boOwzDYNmDAxblA0fd+py+78V//1zMYv+LDg3dsxv/zsYP5ogMRw+DX3rEdRq0c//zoOYRiV6+Vv3p+BWadouQYbEIIIa2lOxIAHWrBHUFfFScjAzYNkmkuP2qgkBVfHLYW2zncDjb362HUynEsuws0GMmcLOkqDHtdKxOi2IK7Dw1gT4XzY+1GFZz1Gm2WDWOIu6SRCADuvq4ft+7trel9Dtgyyf9S4wa7STLFYdkbxbBDu+rju0fN+OKvHYFBI8vv7liPyx8HLwjoMV2tj3UYVeB4oehCWzSRxoovBoYBTk64iwYuc146s4yXz63glXPljSo7N+PDaK8OPWYVnjhefGHurQRBgNMfa7lmB0IIaRe9FjViSRbBIuFPnhdw4oITezaZoVasbSIUMQy2DRpwcc6/6jXcH05iwR3BrtHV52ujvXr4w0n4w8na/UPahNMXh14jK2ssbyOJRAzuPjyAj9+7DaoCP+NK7d9qxSfvH8OFWT/+9afnV4WWEykWX/v5OIxaOT5819ZVX2c1KPH7D+4Dy/L4u++dxJuX3fj5K7O4fqcDh7KBo1Ju2dMLCFcbgWrl+AUnGAZ44NZNWHBHcHbat+5tz0x54Q8nceu+8s+TrQYlPG8JEp2d9kEmEWHrQHteXJZKRPjAbZux4I7ipbPLEAQBJyfc2DFsbNjvwOGxTIvaCWolIoQQQgghpGpXljObfofLbCQCgJv39EIqEeGZNxaw4Iqg31b+JJFy3Hd0EADw+LG5qu8jHEth0R3FtgHDms+NDRrgDycLjqAGMhtI/vlHp2HQyPHFXzuMew5nWpKupVZI8dvv3Y1wLI2v/fQ8eD4zsWN8xo+jO+1FG3cJIYS0HgoStSlBELDojqLfWvmM1cFsZeHcOsEFQRDg9MVWjQQi5RExDI5st+P8jA+ReBrBSGbByKCubrRZzuHtdnzozi0Vh8bsJiWc/nhFQYVydVsjEQDcfqAfN9c4SKRXy6DXyNb9fWy2BXcEJyfcDX3MOVcYggAMvSVIBGS+X3s2mTGxEMyP1ytk2ZsJ0DmuaSTKtfg4i4Qoc21EN+x0IBBJYXaldFNUbnzEqTK+T5F4GjNLIeweNePeI4OYd0Vwbmb9hbm3CkRSSKV5OEyt1exACCHtojf7d2HJE133NpfmAwhEUgXHmuWMDRrhDSXhviacej77er7rLc0juR2M3dhKtOKPwdGi4dcP3LYZB7eVF9Ypx427e/Ard27BG5fd+NYTl/Ln3w8/Mwm3P45Pv2M7VIq1YZI+qwa/88G9CEXT+D8/OgujVoaPvG3rmtutx2JQYueoCS+eWa5qZGohgiDg+LgT24eMeNuhARi1cjxxbHbd2z9/agl6jayiTQ9WvXLNBepzMz5sGzRCKmnfVtyD26zY3K/Hj1+YxtRiCJ5gAvu2WBr2+Ga9Alv79Xj53AqWveu/zhFCCCGEEELWl7tGPFLg+vR6NEopjmy348Uzy0ikOAxYaxskMukUuHlPD146swRfqLpG2svzmZFj2wYNaz63bTA3xj1Q8GtfPruCRXcUn3znzqKbXIccWnz07q04f8WPn748gxMXnOAFAUeLXGMhhBDSmronAdBhvKEEEikO/VWcjPRaVBCLGMy7Ci+QR+JpxJIsjc6p0pEddnC8gNcvuRDI7nbXb6CRaCMcJhWSaQ6BSHkjlyqRC3F0U5CoXgZsGsw5Wy9IlGZ5/OMPzuD//OgsFtyNO74r2fDOsKPwjo+xQSOSaS6/M6SQFV9m4eTaQGTuNW2lSEvX9FIIDIB33TQCEcPgzcvFw0HL3ihmnWEYtXJMLAZXVbYWMn7FBwGZRebrdzpKLsy9Ve7Y6fWZEEKq02vJhPCLBYmOjzshl4qxd/P6i/9jQ9kLbNeMNzs344VeLcuPLc0ZsmsgFjGYXg5u5NDbUmYcZ/eEX992aADvunEYL51dxsPPTOLUhAfPn1rCvUcG8xdlC9nUq8dn3r8bDpMKv/7OnQUDR8XcurcP/nCyaGtQJWaWw3AHEjiyww6JWIR7Dg3g0nwAU0trn8PeYAJnp724eU9PRe8LrAYFfKFk/j2FOxCH0xfDrtHGjACrF4Zh8OAdmxGMpvDPPzkHBsD+Iq8l9fC2QwNwB+L4f752HF/85mv4xWvz+Q0uhBBCCCGEkNJmlkNwmFQVN9jeebAfXHbMca0biQDg/qNDEATgiePVtRJdmvNDJhFhpEDTUo9ZBZ1Kiktza8e4p9IcfvLSDLYNGXFkp6Pk49y8pwc37nLgZy9fwRPHZjFo0+RHoBFCCGkflABoUwvuzOJHXxWNRFKJGA6zat3gQq6tw27snov+tTRo18BhUuH4eWd+tJl+g41E1colw+sx3ozNNhKJRVRHuVGDNi2WvdGiDTvN8PQbC/AEExCLRHjk2cmGPe7sShg6tQyGdQJ4uR0TFwq8qclZ8cZgeMsoFZ1KCqVcXPT3YXopBIdZBatBia0Depya8BQ91uPjTjAAPnbPNggCcHqy+O3PTnuhVkgw0qODRCzC3YcGcHEuUHZLRe7YabQZIYRUR6eWQa2QYMlb+G8By/F445IL+7daIJeu34rSa1ZBp5bhYvZvEc8LOD/jw64R05oGSalEjAGbBjMd1Ejk9MUQKBFMiCXSCMfSXRd+ffdNI7jrYD9+8do8/vkn5zBg0+A9N4+W/Lodwyb8z984iq0FKuZL2bvZDL1ahhdO1Wa82bHxFUjEDA5utQIAbtnXC7VCgicKVOi/eGYJEDI1/pWwGpQQgPzI2XPrNHq1o029ehzeboM/nMRorw56TWPfCx7cZsPf//aN+NCdWwAA33t6Ap/7p5fxdw+fwokLzrq01RJCCCGEENJJppdDGOkpv40oZ8ihxaa+TEinz1L52l0pFoMSN+xy4PlTSyXfkxdyaT6ATX36gptAGIbBtkEjLs4F1rxneObNRfjDSXz8/h1lTc1gGAYfvWcb+qwaBCIpHC0jfEQIIaT1UJCoTS1m20H6LNWleAdtGsyvM0opt1BNo82qwzAMju6w4/J8AFdWQpBJRFDKm1PPn9sB7vTXPkiUG50gEVOQaKMG7RpwvFC0HaHRIvE0fv7KFewaNeF9t4zi3LQP52a8DXns2ZUwhh3add+UaFUy9Fs1q1og3mrZF0OPefWbNYZhYDOq1h1tJggCppdC+RE0+7dYseiJrvv7IwgCjl9wYdugAXs3mWHSyYsGjwRBwLkZH3YMm/Lzo2/Z2wuVXFJ2K5HTH4NUIoJR15xwIiGEtDuGYdBjUa/7N/eXry8gmmBxfYmLXAzDYGzQgIuzfgiCgCsrYUQTLHau06Yy2qvDzEoYPN8ZC/h//8gpfPOJi0Vvk/t726qjzeqFYRh86K4tuHGXAyKGwa+/cwekkvq+7ZaIRbhpTw9OT3mqrrjP4XkBr11wYfeoOb/7ViGT4PYD/Th52b1qXBbH83jxzDJ2jphgNVS2CSV3+9x4s3PTXlj0io55D/rArZsgl4pxeHtz6vv1GjnuPjSAL3ziEP7Hp4/g7dcPwemL4V9+ch5vXi4efCeEEEIIIaSb+cNJBCOpgq095fjwXVvx/2fvvuOrqu8/jr/uzd577wSSkIS9tyi4QXErUkfVatX+XB22trZqtdpla22r1ap1V+rACagM2XsFCJCEkEH23nf9/giJxCSQcZNAeD8fjzyUs+73hC/nnnO+n+/nc82cYe0muNrTJVNjsFisPZ5IUtdoIq+4ttOyZq2So32pqGlqV4a6vtHMpxuOkBbnz8geZFt1cXLgnivSmDU6jBmjwnrUVhEROT0okOgMlV9SR4C3S4/T3reKCvaioqaJmk7K8BSW1+NgNBDg49rXZp61JqeEYAO2ZZTg4+ncrSjt/uDv7Yqjg5Gi8s4DJ/ri24xEuoz0VWsJlK6C+wbD0rXZNDSbuXbOMM4bH0mgjyv//fpwvw+ANjVbKCirIybk5DM+kmN8OZxfhcncMYuTzWbjWFk9oQEdB6JC/d27zEhUUtVIbYOJ+HAfAMYOb3kw2tHFYMvRolqKyuuZnBKCwWBg7LAg0rPLaTJZOt0+r6SOqtrmdiU73FwcOXd8BNu/MzDXlaLyBkL83DAO0jVFRGQoCA/oPJAot7iW99dkMi4xqFtZUZKj/aisbaaoooG9WWUYgNTYrgOJmpotp1XQcG9V1TZRUtlIRm7lSbMptn7fBg+RwJCeMBoM3HrJCP587/RelaLujVmjw7HZ4Jvdx/p0nIyjFVTVdZwxOndCJE6OxnYp9PdklVNR08TsMRE9/pzWQKLiygbMFiv7cyo6zeh1pgr0deOPd0/nvAmRg90UwgM9uGJWAk/9YArhgR68t+rwaZcJVURERETkdNGaOT4uvHeBRHFh3lw4OdqeTWon2M+dYZE+bMko7tF+B3MrsQFJJ8mC21qS+8DRyrZlyzYfpa7RzJWzE3rV1psvGoGnW89KxImIyOmhXyIA3n//fZKSkti6dWuP9tu5cyd3330306ZNIy0tjRkzZvDggw+SmZnZ6fZz584lKSmpyx+z2WyP0zkt5ZXU9qmmaFRI14ELRRUNBPq4dpreULonxN+dmFAvLFbboJU1g5ZBjBA/Nwr7pbSZFaPB0JZZRXovxM8dZ0djl+UGB1pheT0rd+Qza3Q4EUGeODkaueqcBPJK6li7p2+DU6eSW1yLzQaxoScPJBoR7YfJbCWroKrDuup6Ew1N5k5ntIf4uVFW1dhpAFLrseKPzzYJ9HUjKtiTnYdKOm3Dxn2FOBgNjE8KBmBsYiDNZiv7jpfm+K7WjE5pcQHtls8dH4Wjo5Flm09d27qool5lzURE+ig80IPaBhPVJwTUm8wWXvw4HXdXJ266MKlbwQzJMcdfsOVUsDe7nNgwL7zcOy/L2RqkmnXszC9v1vpStanZQk5hTZfbFZbXYwCCe5ipZqgwGAy4OvfPDNTOBPm6kRrnz5pdBX0K/N64rwgXZwdGJ7S/X/F2d2bGqDA27C2koqYlhf6anQX4eDgzelhAZ4c6KR9PZ5wcjZRUNpCZX0Vjs4W0+J4f53Tm7up4WgV/OxiNXDMngeKKBlZuzx/s5oiIiIiInJayj1XjYDQQHTwwk0J6Y0JyMPkldd2amNoq42gljg7Gtmz8nQkLcMfb3YmM42Xcq+qaWb4ll4nJwcSc4n29iIgMPXaPFNmxYwePP/54j/dbunQpN9xwA19++SUhISHMnj0bDw8PPvnkE6688kq2bNnSbvuamhry8vIIDAxk/vz5nf4Yh2imFLPFyrGyeiKCel9jtTUDSmeBC0Xl9YSchTOH7W1KSksaex/PzgeUBkqIv3s/lTazqayZnRiNBiKDPckt7nowbiC9t/Iwjo5GLp8Z37ZsYnIwCRHefLAmi8bm/gvSPFLYMjh5qgeTxGhfDLSfHdGq8PgDVFgnGYlC/N2x0TL7/buyClpKEUYGf3ttHTs8kEP5Ve0GmwGsNhub9xeTFuffNqMiMcoXdxdHdnRR3mxvVjkRQR74ebUPLvT2cGbGyDDWnzAw1xmL1UpxRYOuzyIifRQe2HIdPXZCdqD312SRX1LHrRcndxkM9F0hfm74ejqz/WAJmQVVHQJFv7uth6tjpwGwZ5qsY9VtwREHjnZdZrSoooEAH9d+L+sl35o9OpyKmib2ZPWuHK3JbGVbRgnjhgfh7NSxNPMFk6Kx2WDFllzKqxvZlVnKjFFhvZqAYjQYCPRxpaSykb3Z5TgYDYw4Hpwn/WdkfAApsX4sXZdNXaNpsJsjIiIiInLayT5WTWSwJ06OHZ+JThfjE4MA2Hqg+1mJMo5WkhDufdLzMhgMJEX7kZFbic1m49P1RzCZrSycFd/lPiIiMnTZ9a3usmXL+P73v099fc+CFsrLy3n00Uex2Ww8//zzfPDBBzz//PN88cUXPPDAAzQ0NPCTn/wEk+nbF1379+/HZrMxZ84c/vCHP3T6M1QDiYrK67FYbX1Kk+/t7oyfl0uHjEQ2m00ZL+xk0ogQDICv5+BlJIKWgaviiga7l6QyW6w4KGuV3UQFex7PxtO/pcNOJeNoBTsOlXLxlBh8PL4dSDUYDFx77nCq6pr5YtOpM+f0Vk5hDd7uTh2Cbb7Lw9WJ6BAvDuR0HMA8VtbyHRTm3zHYsjVLUWflzbILqokJ9WpXrm/s8CBsNth1uH1w0KHcSipqmpicGtK2zNHByKhhAew8XNrh31tjs5lDeZWM7GKQ+YLJ0VisNlZsze3qlCmrasRitRHif3ZmdhARsZfwgJbvh9YyY/tzKli+OZc5YyMYlRDY7eMYDAaSo/3Ym12OzUa70pWdbRsX5t2WzedMllVQTVSwJ5FBHp1+D7fS5ISBN2Z4IN4ezqzeWdCr/fdml1HfZGZySkin64N83Zg4IphVO/NZtjkXm62lpFpvBfm6UVLZwJ6sMhIifHBzGbgMTmcrg8HANXOGUd9o5uN1Rwa7OSIiIiIipxWrzcaRwuq2jPWnK39vV4ZF+LA1o/NM+t9V32jmaHENSdG+p9w2OdqX8uomDuRUsHJHPjNGhXWa+V9ERIY+u0QBFBYW8pOf/IQf/ehHWK1WAgO7/wIeYPny5dTX17NgwQLmzp3bttxgMPCDH/yAESNGUFBQwI4dO9rW7du3D4DU1FR7nMIZJa+kZdAjIrD3GYmgNXChfQaUytpmmk1WQjVQ3Wd+Xi7cdXka8yZEDmo7QvzdsVhtlFY32vW4FosyEtlTdLAndY1myqu7zkjT36w2G+98fRg/LxfOnxjVYf2wCB8mJgfzxaajJ82c0xdHimqICfXuZkkZXzILqmg2WdotLyyvx9nRiJ93x2CkEL+Wa9t3s3SZLVZyimo7pHaNDvEkwNuFnd/JMrRpXxHOTkbGDgtqt3zs8CBqG0wczm+fceLA0UrMFhupXQwyB/u6MTE5mFU78qnvYnZ4UUXD8XPQg5uISF/4ebng6uxAQWk99Y0mXv50H8H+7lwzZ1iPj9Va3szNxfGk6cEB4sO9yS+t69fMfv3NarWRfaya+HBvkqP9OJRfhdnSsVxo6+SEUH1nDShHByMzR4WxK7O0V/dqm/YV4enmREps15mBLpocTWOzhRVbc0mN8yeoD6XrgnzdOFZWz9GiWtLiug7EE/uKDvFi+qgwvtqWR3E/ZK4VERERETlTFZXX09BkITbs9C/jNSE5mNzi2k4nzH7XobxKbDZIivI95bZJ0S3Pgy8sTcdgMLBgemwfWyoiImcquwQSPfvss3z00UekpaXx7rvvEh/fszR3VquVlJQUpkyZ0un62NhYAIqLv03Tt3//fuBsDSSqxWgwEBbQ90CiY2X1mMzfvvwvPH7TodnD9jEhOZjgQR5AaY0WL+7GDWVPmC3WXpUxkM5FhbQ8nBwdxPJmm9KLyCms4crZ8bh0Us4C4KpzErDabLy/JtPun99kslBQWtftesvJ0X6YLTYyvxO0c6ysnlB/97ayKydyd3XCy92pwwNWbnEtZouV+HCfdssNBgNjhgWRnl1O0/GAJbPFytaMEsYMC8TFuf3vKS3OH0cHA9sPtp8Nkp5VjrOTkcTI9sc/0UWTY2hstvDltrxO17denzUDRESkbwwGA+GBHhSU1fHGioNU1jRz+6UpHa7p3ZF8fDZfSqxfu4x2nYkP98ZmgyPHOv+uX7kjn6XrsnvchoF0rKyOxmZLSyBRjB/NJmunWZZq6k00NFkI1uSEATdzdDg2Gzz91nZ++5+tHX7e+epQ2z3NiRqbzew8VMrE5OCT3uNHh3i1Bf3M7kM2ImgJJGoNRBsZ33VpQLG/hTPjcXAwsGSV/e/pRURERETOVNnHWp5vT/eMRAATko6XN8s4dXmzjNxKHIwG4iO6fjfdKizAHW93J6rrTcwdH4m/t2uf2yoiImcmu0QBxMfH8/TTT/Pee++RlJTU4/1vuOEGPvjgAxYuXNhhndVqJT09HYDQ0NC25fv27cPBwYHs7GwWLVrEhAkTmDhxInfeeSe7d+/u/cmcAfJL6ggNcMfJsW9/fdEhXlistrayDvBtlg5lvBg6WjOwFNo9kMiGg1EZiewlMsgDA3QoNzhQmk0W/rcmk5hQL6akhna5XZCvG3PHR7F+TyFHi+wb9NRS2g1iuxlIlBjli9FgYP/RynbLj5W1XCO7EuLvTlF5Q7tlrYOgnT0kjk0MpNlsZV92OQD7jpRT22BiSkrH35ObiyMjYvzZeai0XZm6PdllJEf7nbQGdUyoF+OTgvhk/RHyOukHxeUNuLk44OXu1OUxRESke8IDPTiYW8nG9CIWTI89ZTahrgT5unHRlGgumBR9ym3jjn/HZB3rGHjz9fY8Xl+WwdK1R6ht6Dwz3emg7fsy3JukaF8MwIGjHcubKfh18AT7urFgeixBvm64uji2+3FyNLJ8Sy6Pvbqlw33czkOlNJutXZY1O9HVc4ZxzphwxgzvWSbiztoK4OXuRFRI78t2S8/5eblw4aRotmaUcCivcrCbIyIiIiJyWsguqMHF2aHPk/gHgr+3Kwnh3mw5cPJAIpvNRnp2OfHh3l1OHj6RwWAgJdYfNxcHLp4aY6/miojIGcjRHge544477HGYTr3//vscPXqU4OBgxowZA0BzczNZWVlYLBZ+8pOfMHLkSCZPnsyhQ4dYuXIla9eu5Q9/+AMXXnhhv7TJ2dmRoKDBS214rLye4VG+fW7DaAzAXiobTEw4fqzqBjPOjkYS4wMxKkhkSAgM9MTNxZHqRnOf+sx393V0csDF2WFQ/y0MNWGBHhRVNg7K7/S9rw5SXt3EQzdOICT45IOpNy1IY93eQj5Ym80Td07v1vEbmswsXZPJZbMScHXp/Ktn0/GazuNTwwjsZpmMYVE+ZBZUt/3Omk0WyqobOX9yTIffY+ufY8K82ZFR3G59fnk9fl4uJCUEdiirNt3fg398lM6+3ErOnx7PzuUH8XRz4pxJMZ0GdM4cF8nfl+yiwdoSHHSstI7iigYunz3slH+3998wnnv+sJJ/f36AP903q13gUXltExHBXgSf4u9H5ES6RstQ1de+nRjjz9rdx0iK9uPmBWk49CHL4g+vHtut7YKAsAAP8svq27V/1fY83lxxkIRIHzLzqsguruXcCacOTBoMBRUNeLg6kpYYgtFoIC7Ch6xjNR3+PnZmtQTfpgwLIugMeAF7puhuv7/9itFdrtuRUcyf397OE//Zxs2XpjB/RjxGo4Hth9MJ9HFl6pjIUz4HBgV5MS41rEdt70yipSXoevyIkFPef4r9Lb4klbV7jvH+mmx+/6OZ3Sot3F90vyJnI/V7Oduoz8tQpv49dOSW1jI8ypeQkDPj+WT2+Cj+/XE6ZoORsMDOn7037DlGbnEtP7xyVLf76j3XjqWuwUR4UOcTPtTnZShT/xb51mldl2jv3r389re/BeDBBx/E0bFl8DkjIwOz2YyHhwevvvoqS5Ys4fnnn2f58uU8/PDDmEwmHn74YUpKSk52+DNSfaOJovJ6Yu2QWjE0wANXZweyTyhHUFBSR3iQp4KIhhCDwUBEkAcFJXWn3rgHVNrM/uIifMguqDr1hnZmMltZuiaL8cnBjEw49cxyTzcnLp+dwK5DpZRVNZxye4D1uwt444sDfHKSki2H8yrx9XQhwKf76VJHJgRyKLeCxiYzAAWlddhsEBHc9az2iCBPyqubqG/8NuPDwZwKEqP9Oh1AcXQwMnFECJvTi6hvNLFx7zGmjQrvMivc5OMZnTbuPQbA9uPpZcclB5/yfHw8XfjRNWM4cqyaNz4/0G5dfmkdEYGarS8iYg9jEoNIiPThgRvG9SmIqKcSo/3IyPk2g8+WfYU8+/Z2UuMD+N3dMwjwcWXj3sIBa09PHTxawfBov7ZnhZEJgew/Uk7zd0plFZTW4ehgIKibgcEycMYmBfPcQ3MYlxTMSx/t5TcvbSSnsJodGcXMGnvqICJ7Cg/0IDU+gHndyOgl9ufq4siNF44g42gF3+zMH+zmiIiIiIgMKpPZSlZ+NYlRfoPdlG6bPqql3PS63QWdrjdbrLz2aTqRwZ6cP7n72YV8PF26DCISEZGzh10yEvWH3bt3c/vtt1NfX891113H5Zdf3rZu5MiRrF27lubmZiIiItrtd/PNN7Nlyxa+/PJLPvjgg37JltTcbKaqm4Pn9pZ5PMjAz92JkpK+lxWKCPQg40h527Fyi6oJD/Cwy7Hl9OHv5UJWQXWv/l5bo2+/u29dfTPYOi6X3gv2cWXdrnqO5lXg1kXWnv6w9UAxlbVNzBwZ2u2/z5iglhkOm3YXMLEbATLb97cMin646jDTRgR1WuIr40g5UcGelJZ2v7xbTJAHZouNDbvySIsLYN/hlgBSDydj27l8tw97Ord89r5DJcSEelHbYKKgtI6pqSFdnv+IaF9Wbc/jhf/torHZwug4v5P+ruLDvVm3M59zR4ezcXcBgT6uONms3fr9xgZ5cM6YcD5YdZjh4V4kRfthMlspKa9nyohg/ZuTbunq2i1yprNX3/Z0MvKLG8cDtgH9dxIe4MbqHY1kZJZQUtnAn/67i8hgT+5akEpNVQOjEgJYt+cY+QWVOJ8i5bjJbCWroIrEKN8BySTS1GzhyLFqLpka2/Y7iwnywGS2smlXPskx375szc6rJMjXjfJy+wayn63645r+g/kjSIr05p2vD/N/f1yFxWpjZOzJ72/6w4PXtGRP0vfV4BgV60dkkCf/XprOsFDPk5bh7Q+6X5Gzkfq9nG3U52UoU/8eWrKPVWO2WAn1dT1j/k4NQFyYF6u25TJ7ZGiH9V9tyyO/pI4fXTnKLs/n6vMylKl/y1DVlyxbp2U6kdWrV3PTTTdRWVnJFVdcwaOPPtphm6CgoA5BRK3mzJkDtGQ0Gmryj2eViQiyT4mAqBAvjhbXYrPZsFitFFc0EOLvbpdjy+kj1N+dsupGTGar3Y5psdpwdFDmKnuKC225mGfkVg7o567emY+/twtpcQHd3ic6xBNnRyOH8iq7tf2hvCp8PJ2pqmtmfSeZFppNFgpK64kJ7dkX2rBIHxyMBg7ktLTjWFnLNfJk17HWdUUV9UDLQyJA/EkyvaXF+ePoYODr7fn4eDqTFH3ymSljhweSfayGksoG9h+tIC0+oEeDvNeeO5wgPzde+mQf9Y1miisbsNHyb1lERM5c8eEt3zWrdubz1//tJtDHlQeuGd0WQDx2eCDNJiv7Tsha1JUP12bx9Fs72LivqF/b3OpIYTU227fnABwPYoIDR9u3t7CinhA/fWedzgwGA3PGRfKrmyYQHuhBXJgX0SGacXq2MRoNXHVOAmXVjew6XDbYzRERERERGTSt74hjw86sskYTkoPJKWx5D32i+kYzH63NJjnal9HDuv/eX0REpNVpF0j0zjvvcNddd1FfX88tt9zCk08+idHYs2YGBQUB0NjY2B9NHFR5xbW4ODkQaKcyAdHBnjQ0mSmrbqSsqhGL1UaIn0oQDDUhfu7YbHS4mewLi8U6oKVAzgbJMX54uDqyef/ADAgCFFc2kH6kglmjwntUysLRwUh8uDeH8k5diq22wcSxsnrmjo8kJsSLzzcdxWq1tdsmt7gWq81GbA8DiVydHYkN82obwCwsryfA2wWXk2RxCD5+jSssbwkkyiqoxgAnLRnp5uLIiBh/ACYlh5zydzV2eMv30JJVmTQ1WxgZ59/tcwJwcXbg9vkpVNQ08+aKgxQdb6sCPUVEzmzRwV44Ohj4ZH0O7i6OPHjtGLzcndvWJ0f74ebiwI6DJy/RbLZYWbe7pYTmG8sPUlbV/889Wa2BtycEErm7OhIT4sWBEwKfrDbb8ckJeqY4E0QEefLrWyby88XjBySzlZx+UmL9cHFyYP/RUwcwioiIiIgMVdnHqvF2dyLA23Wwm9IjE5JaqgVszShut/zzTTnUNpi45txhetYTEZFeOa2iAP72t7/x6KOPYrPZePjhh/nZz37W6RfcZ599xoMPPsjHH3/c6XHy8vIACA3tmMrvTJdfWkd4oAdGO33xRwW3zDrNLaqlqKIlyEQD1UNPWwaW48EI9mC2KCORvTk6GBmfFMSOg6U0mSwD8pnf7CrAYIAZo8J6vO+wSB9yi2ppbDafdLvDx4ONhkf6ctGUaIorGtj+nQHSI4Ut6SJ7GkgELYOuR47V0NBk5lhZPaEBJ8/Y5uLkgJ+XC0XlLde8rIJqwgM9TllObnxSS3DQlNSQU7YpLMCdED83thwoxsFoaFfupbsSwn24dFoMG9ILWbb5KICyO4iInOGcHI3Ehnnj7e7Eg9eNxf87LygdHYyMjA9g1+HSDkG3J9p5qJTqehOL5iVitdl4+dN9WG1db28PWQXVBPq44n1C4BO0BEJnFlS33btUVDdhMlv1THEGMRgMOPRw8o4MHY4ORoZH+rQLCBQREREROZuYzBYyjlYSG+Z9xgXdBPm6ERPqxdYD375vL69uZPmWXKakhhAb2vXkWRERkZM5bd4W/uc//+G5557DycmJP/7xj9x8881dbltWVsYnn3zC22+/3WGdzWZj6dKlAMyYMaO/mjto8kpq7VbWDCAyyBMDLdlAWrNzqHTO0NM6I7w1WMwezBarBhz6weSUUJpMFnYdLu33zzJbrHyz+xijEwI7DGR2x/BIX6w2G1kF1Sfd7lBeJY4OBuLCvJiQFEywrxufbczBdsKAZ05hDV7uTvh5ufS4HckxflhtNg7mVlJYXk9YN65hof7uFFXUY7PZyD5WTVz4qR+oZowK4ze3TiLuJJmLWhkMBsYmtgQeDYvwOWWQUlcunRZLXFhL5idvdyfcXXt3HBEROX3cdVkaj94yqct77rHDg6iuN530+3X1znwCvF2YMzaCG84bzoGjlSzfnNtfTQZaAoniO/m+TI72w2K1cTi/JXC4tXSogl9FzhzJMX4cK6unqrZpsJsiIiIiIjLg3lxxiNKqRuaMjRjspvTKxORgso9VU1rVMv7z/posbDa4Ylb8ILdMRETOZAMeBVBQUEBmZibl5eVtyzIyMnjmmWcAePrpp7n44otPeoxLLrkET09Ptm3bxquvvtq23Gaz8fzzz7Nz504SExM599xz++UcBktVXTM19SYigzztdkwXZwdC/N05WlxLcXkDbi4OeLk72e34cnrwcHXC082pLVjMHpSRqH8kRfni4+nMpn39X95s1+FSquuamTUmvFf7J4T7YODbjENdOZRfRWyoN06ODhiNBi6cHM2Rwpp2s56PFNYQE+rVqxkfwyJ8cDAa2LiviKZmC2EBpx64DPFzo6i8nuLKBmobTJ0OjH6X0WBoy+LWHeOOlzdLi+9ZWbMTOToYuX1+Cs5ORmV2EBEZIvy8XE4aODsyPgAHo4Hthzovb9ZalnTm6JaypDNGhTF2eCDvr8kkt7i2X9pcUdNERU0T8eE+HdYNj/TBaDC0fa8XaXKCyBknObole2ZGbuXgNkREREREZIB9s7uANbsKuGRqDKOHBQ52c3plwvFM+tsySsgprGHD3kLmTYwk0Eclx0VEpPcGPLXBT3/6UzZv3sw999zDvffeC8Df//53TCYT3t7erFy5kpUrV3a673XXXceECRPw9/fnySef5MEHH+Spp55iyZIlxMfHk5GRwZEjRwgKCuK5557D0XFoZW7IL2kZGIi0Y0YiaClvln2spRxBiJ/7GZe6Ubon1N+d4gr7BRJZrFYcHJSRyN6MRgOTkkNYuSOP+kYT7q79F9i3emcBfl4ujOxloIu7qyMRQZ4cyqvschuT2cKRY9XMnRDVtmz6yFA+XJvNZ5uOMiLWn2aThYLSOsYMD+hVO1ycHEgI92brgZY60N0ZuAzxd6eu0czuzDIA4ruRZainEiK8uX1+CmP6+AAa6u/OA9eMwdlJ/95ERM4G7q6OJMf4seNgCVefk9Dh3ry1LOnMUS2BwAaDgZsuSuZXL2/mXx+n88ubJuDk6GDXNrVmR+os8NbNxZG4MC8OHG0JJCosb8DZyYivp3OHbUXk9BQT6omrswMHciqYNOLUZXxFRERERIaCnMIa3lh+kBExfiyceeZm7wn2cyc6xJOtB4rZnVmGh5sTl0yJHexmiYjIGe60GJX85ptvAKiurubjjz/u8ufo0aNt+1xwwQW88847nH/++ZSWlvL1119jMplYvHgxS5cuJTY2dpDOpv/kldQBEGHHjEQA0SGelFY1klNYo5nDQ1iIv5udMxJZlZGon0xJDcFssbEto/NMBPZQUtlAenY5s0aH96lE3fAoHw4XVGOxWjtdn32sBrPFxvDIbzMYODk6MG9CJOnZ5eQU1pBbUovVZiMmpPfBPMkxLWVVAEIDTh1s2ZrdZ2N6Ic5ORruWjGxlMBiYmhra67JmJ0qM8lU9axGRs8jY4YEUVTRwrKz9vduJZUlPzGrk7e7MLRclk1dSxwdrsu3enqxjVTgYDcSEdP4ckhzjx5FjNTQ2mymqqNfkBJEzjIPRSGKUL/uPVg52U0REREREBkRdo4nnP9iDp5sTP7gsFaPxzH6GnZAUTGZBNftzKlgwPRZ316GVaEFERAZev3yTvP766z1at3379l59TlpaGs8991yv9j0T5ZXU4uXuhI+HfWf3RgV7AVDbYCLYT6kOh6oQP3fW7SmksdmMq3Pf/+lbrDYc+xCAIl2LDfUi2NeNjfuKmDm6d2XHTuWb3QVggJmjwvp0nOERPqzcnk9ecR0xoV4d1h/Obyl7NiyifSmUOWMj+HRDDp9vyiExyhdoOe/eSo72Y+m6I7g6O3QrA0LI8Wtd9rEaEqN8+xRMJSIiYm9jhgXyxvKD7DhUQnjgt8GurWVJZ3dSlnT0sEDOGRvBss1HGZUQQHKMn93ak11QTVSwZ5eZjpKj/fh0Qw6H8qooKq8nKqT33+kiMjiSo/3YnVlGRU3TScsvioiIiIic6aw2G//6eB8VNU387MZxeLuf+Rl1JyYH8/6aLEL83DhnbMRgN0dERIYAjZyeQfJL6oi0czYiaClt1koZiYau1r/b4oqGPh+r2WShqdmijET9xGAwMCklhANHK6iqbbL78VuzGYyKD8Df27VPxxoe6Qt8GzD0XYdyKwkLcMfrOw9j7q5OnDMmgi0Hitl6oBhPNyf8vXs/YJEQ4Y2jg5GwgO5lQAjydcN4fLvOyrSIiIgMJn9vV2JDvdhxqLTd8lVtZUk7Lwd67ZxhBPu58dKn+6hvNNmlLVarjezCmpN+Xw6L9MHBaCA9u5ySysa2gF0ROXOMOB582FqmUERERERkqPpk/RF2Z5Zx/dzhJIT7nHqHM0CIvzsLZ8Xz/UtScHTQ0K+IiPSdvk3OEFabjYLSOiIC7V9+x9fTGS93J+Dbcj8y9LT+3fa1vFlecS2Pv7aVukYzw49nkhH7m5ISgs0Gmw8U2/3YuzPLqKptZvaYvs9MCPBxxc/LhUN5lR3WWW02DudXdchG1GrexCiMBgMHjlYSG+rVpxIoreXSpqaGdmt7RwcjgT4tQVTxYQokEhGR08/YxCCyCqqpPB5UfGJZ0q5Srrs4O3D7/FQqa5p5c8VBu7SjoKyOpmbLSQOJXJwciA/3ZmN6IVabTZMTRM5AUcGeuLs4ciBHgUQiIiIiMnTtySrjo2+ymZoawpwhlrln/rRYhkUOjcAoEREZfAokOkOUVjbQZLIQGWz/jEQGg6EtK5FmDw9drWXrijoJJDKZrWzaV0ReSW2X+9tsNr7cmstjr22lpsHEA9eM7nbQhvRceKAHUcGebNpXZPdjr27NZpDgb5fjDY/04VBeFTabrd3yY2X1LQFnx7MWfZeflwvT0lr6UGxY30ugXD1nGHMnRHV7+9bgOmUkEhGR09HY4YEA7DzckpVoza4CDN0oSxof7s386bFsSC9i8/6+30dkFVQfP+7JX0YmR/tRXd+SBUmTE0TOPEajgaRoX2UkEhEREZEhq6i8nheXphMR5MH3Lkzu08RWERGRoc5xsBsg3ZNfUgdARJD9MxIBpMUFUNdgxt3VqV+OL4PPxckBPy8Xir5T2qygtI4XlqaTW9wSRBQZ5MnUtBAmjwhpK3tVWdPEX5bsZndmGaMSArj14hF4e5z5dYNPd5NTQliyKpPiygaCfe0T5Fda1cDerDLmT4/FwWifWNLhkb5s3l9MWXUjgT7ftrM1S9Hwk8yCuGhKDNsySkiNtU9QU08kR/tSXd/c5/JuIiIi/SEi0IMgX1d2HCxlxsgw1vagLOklU2PYnVnG68syGB7pi59X78uHZhVU4+HqeMoJB8kxfny8/gigyQkiZ6rkaD92HCqlrKqRAB/dI4uIiIjI0FHbYOLZ93ZhMBi454qRuDg5DHaTRERETmvKSNQLzWbrgH9ma6aY8ID+CSS6cHI0j94ysV+OLaePED+3toxENpuNVTvyeezVLVTUNHHnZaksmpeIi5OR91Zm8uO/r+eZt7bz3lcHufePK9mfU8GieYn831WjFEQ0QCaNCAZgsx2zEq3eWQDAzFHhdjtma6DQobyqdssP51Xh7e7Ulg2rM6H+7jx330ySov3s1p7uumhKDI/erOueiIicngwGA2OHB7E/p5xN+4qoqut+WVJHByN3zE/BZLHy8qf7sH4na2BPZBVUExfmfcqZmsMivHF0MOLh6oinmyYniJyJkmNa7smVlUhERERETidbDxTz5BvbyOjlfarZYuX59/dQVt3IPVeMJNhPWXRFRERORRmJeqGx2Tzgn5lXUkegjytuLvork94L9Xdna0YJNfXNvPr5AXYcKiU1zp/vXzICX8+WmernjY+kqKKejelFbEwv5D+f7Scm1IsHrhlNZJD9S+tJ1wJ93BgW6cOm/UVcOi2218epqGli8/4iNqQXcrSoljHDAu06wzgyyBNXZwcO51W1K3d3KK+SYZG+pxx4VApZERGRzo0dHsjyLbm8/eWhHpclDfF357pzh/OfZRl8tS2PeT0o/9mqsdlMfmkt4xJjT7mtk6MDyTG+mM1WfbeLnKEigjzwdHPiQE4F00eevIyiiIiIiEh/s9lsfLH5KO+tzMTRwcAzb+9g/rTYHmXbt9lsvPb5ATJyK7l9fgqJUb7922gREZEhQlEpvdDYbMFlgN+N55fWKYhD+izE353aBhO/fHkzdQ0mrj13GPMmRmH8zmBPiJ87l82IY8H0WMxGI0G+blRW1A9Sq89uU1JCeGP5QfKKa4kM7v41oKHJzPaDJWxIL2R/TgU2G8SGenH9ecPtPihgNBpIiPBpK2UGUFnbREllI+eOi7TrZ4mIiJxNhkX64OnmRG2DibkTIntclnT2mHB2Hi5lyapMUmL9iQjsPLupxWrt9Ng5hTXYbBAf7t2tz7tzQSrW3ic/EpFBZjQYSI725cDRCmw2m4ICRURERGTQWKxW3lx+kFU7C5g0IphF8xJ59+vDLF13hAM5FdyxILVbpb8/3ZDDur2FLJge224SrIiIiJycAol6obHZgovLwNVPzSmsobCsnnGJgQP2mTI0hR0vjefh6sj9V48mJtTrpNsbDAbCAxXANpgmJAfz1opDbNpf1O1Aom0Zxbz6+QHqGs0E+rhy6dRYpqSGtP3994fhkT589E029Y0m3F2dOHy8zNnwSN9++0wREZGhzsFoZMywQNbtOdarsqQGg4FbLkrmly9v5l9L03nkpgk4OrQEDDWbLOw8XMrG9CL2ZJURGuDO1NRQpqSEtL2MzSqoBiAurHuBRO6uKmkmcqZLjvFja0YJJVWNBPt2XaJYREREpD9YrTaMRgUzn+0amsz846O97M0q55KpMSycFY/RYOC2S1NIifXj9WUHefTfm7n1khGMHR7U5XE27y/i/TVZTEkJ4bIZcQN4BiIiImc+BRL1QlOzBauzsUMWl/5wrKyOP/13J35ezswZq8we0jdp8f7cc8VIUuP8cXEauGA46T1vd2dSYv3YtK+IK2bFn3RWcFOzhbe/OsiaXceIDfXiR3OHMyzCZ0BmEg+P8MEGHM6vZlRCAIfyqnB2NBIdokA0ERGRvrhydjxTUkN6XZbUx9OFmy9K5m/v7+GDNVmkxvmzMb2IrRnFNDZb8PV0ZtaYcI4W1bBkVSZLVmWSFOXL1LRQ9h+tINjXDS93ZzuflYicrpKj/QA4kFOhQCIREREZUE3NFh7/z1YCfVz54eVpOOv99VmpvLqRZ9/bTUFpHTdflMys0e0n1UxLCyMh3Id/fpTOc//bw5yxEYyMD8DL3QlPdye83Jxxc3Egs6Calz7Zz7BIH265OFnZNkVERHpIgUS9YLXaKCqv79fsHtByw/THd3cC8OB1Y/HzcunXz5Ohz2gwMC6x6wh9OT1NTgnh5U/388rnB5g1KpyECO8ODz45hTX8c2k6xeX1XDwlhstnxrVlHBgI8eE+GA0GDudXHg8kqiQ+3HtA2yAiIjIU+Xi64OPZt+eAcYlBzBgVxuebjvL5pqO4OjswISmYKakhJEf7tc34La6oZ+O+IjakF/Hq5weAljKrInL2CAtwx8fDmQNHKzoM2oiIiIj0p/+tyaSgtI5jpXX89X+7uffKUZoM24mKmiaKK+pJjPIdcsExBaV1/OGdHTSZLNx/zWhS4/w73S7E352fLx7PklWZrNiay8od+e3WOzq0/F78vFy494qRODmqH4mIiPSUAol6Kaewpl8Diarrm/nDOztpaDLzk+vHEerv3m+fJSKnt4nJwWQcrWTzviLW7j5GoI8rU1JDmZoaQoi/O8s2H+X91Vl4ezjz0PVjGRHjN+BtdHF2IDrEk0O5VTQ2mzlaVMvFU6MHvB0iIiLSuevPG46nmxNxYd6MTgjodHZvsJ87C6bHMX9aLEcKa9hxqITxicGD0FoRGSwGg4GkaF8O5FRgs9mG3OCUiIiInJ4O51Xx1dY8zh0XQVyYN//+dD9/XbKbH12lYKJWTSYLX2w6yucbc2g2WxkW4cOieYnEhHoNdtPswmqz8crn+zFbbDy8aDyRwSfPdO/kaOT6ucO5cHI0lbVN1NQ3U1NvOv7TTLPZytwJkcqwKyIi0ksKJOoFgwGOFNYwJTW0X45f32jmz+/uory6kQeuHTNkbgRFpHecnRy49ZIRXD93ODsOlbAhvYhPNxzhk/VH8PV0prK2mfGJQdx0UTKebk6D1s7hkb6s3pnPobwqrDYbwyN9B60tIiIi0p6biyPXzBnWrW0NBgNxYd7EhXn3c6tE5HSUHOPH5v3FFFU0aFKTiIjIWcpssQ5YpnGT2cIrn+/H39uFK2cn4ObSMmylYKIWVpuNTfuKWLIqk4qaJiYkB5MU5cvSddk89uoWZo0JZ+GseLzP8ICZDXsLycyv5taLR5wyiOhEfl4uquYhIiLSDxRI1Asuzg7kFNb0y7GbTRb++r/d5JXUcu+VI0mM8u2XzxGRM4+biyPT0sKYlhZGVW0Tm/YXsze7jMtnBjNzVNigzxYeHunDiq25fLUtDwOQEO4zqO0REREREZGeGxHdkuH0QE6FAolERETOMjabjbe/PMQ3u49x04VJ/TaZ+kRL1x3hWFk9D1w7ui2IaPrIMIwGAy99uo+/vLeL/7tqNC7OZ18wUWZ+FW9/dYisgmpiQr34wYLUtjGjqakhLF13hC+35rFlfzGXz4xjzrgIHIwDEwBmT/WNZt5blUlCuDfTRvZ/nxMREZFTO/PuKE4Drs6O5BTVYLXZ7Hpcq9XGPz7cy6HcSr5/6QhGJQTa9fgiMnT4eLpw/sQoHrhmDLNGhw96EBHAsMiWwKHdmWVEBHni7qpYVRERERGRM02wnxt+Xi4cOFox2E0RERERO1i9M583VxzEZLacctsPvsnmy215uLs68uLH+3hzxUHMFmu/tS2nsIbPNx5lxsgw0uIC2q2bmhbKbZemkJFbybPv7aKp+dTtH0qWbz7Kb1/fRll1I9+/ZAS/vGlCu4nn7q5OXHfecH7z/UnEhHrx1peH+M0rWyirahy8RvfS0nXZ1NQ1c8O8RIynwXtuERERUSBRr7g6O9DYbKG4osGux/10Yw67Msu4YV4iU1IUdS0iZxZfTxeCfF2BluxEIiIiIiJy5jEYDCRH+3LgaCU2O0+gEhERkYHVZLLw3spMvtqWx+/f3kl1fXOX2y7bfJRP1h9h5qgwnr5zKudPjOKrbXk889YOKmqa7N42s8XKK5/tx8vdiWvP67wM89TUUG6fn8LBvEr+9sEerNbT497EbLHy8tK9ZOZV9svxm0wWPl5/hNRYP566Y0pbhqbORAR68NB1Y7h7YRpl1Y08/dZ2SqvsO3bVnwpK6/hqWx4zR4ervLaIiMhpRIFEveB6PIXmkcJqux3zSGE1S9dmM2lEMOeOi7DbcUVEBtLwSN/j/1UgkYiIiIjImSo52o/qumYKyuoHuykiIiLSB5v3FVHfZOaiydHkFNXw5H+2caysrsN23+wu4N2vDzMhKYibLkzG0cHIdecN587LUsktruU3r24hw87ZCj/fdJSjxbUsviAJD1enLrebkhLK4guSSM8u55MNR+zaht5aviWXD1dn8sQrm6ltMNn9+Bv2FlLXaGb+9DhcnU+d9d1gMDA+KZgHrx1LXaOZZ97aQWnl6R9MZLPZeOvLg7g4OXDF7PjBbo6IiIicQIFEveDs5ICjg5Gcwhq7HK/JZOFfH+/D28OZxRcknRYlikREeiM1zh9HB0O7NLsiIiIiInJmGRHrB8DX2/IGuSUiIiLSF1/vyCci0IOrzkngx9ePpaHZzJOvb2sXFLQto5hXPz9Aapw/t89PxWj8dnxi0ogQHrlpAm4ujvz+7Z0s23zULhkL80vr+HhdNhOTgxmXGHTK7WePDmdKaggfrc3mQM7gll8tr27k43VHSIr2o7KmiZc/2WfXLI5Wm40VW3OJCfXq8WTN+HBvHrpuDPWNZp4+A4KJth8sYd+RChbOisfb3XmwmyMiIiInUCBRLxiAqGBPuwUSLVmZybGyem69ZMRJI+9FRE53U1JC+P0Pp+Pv7TrYTRERERERkV4K9HHj/IlRrNyRz+7MssFujoiIiPRC9rFqcgprmDMuAoPBwLAIH37xvQl4uTvzx3d3siG9kPQj5bywNJ34cG/uWTgSJ8eOQ0YRgR786qYJjBkeyLtfH2b1zoI+tctibSlp5ursyKJ5id3ax2AwsPj8JIL93HlhaTpVdV2XaOtv/115GKvNxo8XT+DW+ansyixj2eZcux0/PbucY2X1nD8hqleTzuPCvHno+jE0Npt5+q3tlHwnmMhqtbEnq4x/frSXe59dw0uf7DtlKTSbzca2jGKe+M9Wfv/2DlZuz6Oqtm/l7ppMFt756jCRQR6cMza8T8cSERER+1MgUS/FhnqRU1SDtY+R5nuzyvhqex5zJ0SSGutvp9aJiAwOg8GAj4dmj4iIiIiInOmunB1PRJAHr3y2n5r6gRus+3TDEX758iYsVuuAfaaIiMhQ9PX2PFycHJiaGtq2LNjXjZ8vHk9CuA//+ngff3lvN6H+7tx39WhcnB26PJabiyM/XJhGWpw/b315kOxj1b1u1yfrc8gqqOaGecPx7sF7RDcXR354eRr1TWZe+ji9z2MzvbE/p4LN+4u5ZEoMIf7uXDojjvGJQfxvdSaZ+VV2+YwVW3Lx8XRm4ojgXh8jNtSbh64bS2OzhWfe2k5xZQMFpXW8t+owD/19HX/+7y7Ss8tJjvFjy4Fifv7iRt756lCHez6bzcberDIef20rz3+wl7pGMxU1Tby+/CAP/G0dv3tjGyu25lJe3djjNn6+MYey6kYWzUvEwaihShERkdONvp17KSbUi4YmCyUVvU8NWdtg4uXP9hMe6MFVsxPs2DoRERERERERkd5zcnTg9ktTqGs08doXGXYt2dGV0qoGPlp7hPySOvYdGdyyJSIiImey2gYTm/cXMzUtFDcXx3brPN2ceODaMcwYFUZ4gDsPXDumW5USjAYDt89PwdvDmb9/sJfaBlOP23U4r4ql67KZmhrClJTQU+/wHVHBntwwdzjpRyr4dENOj/fvC7PFypsrDhLo48qFk6OBlkmVt1ycjJ+XC//8qHe/kxPll9axN7ucc8dF4ujQt+G7mFCvtmCiX728iUde2sSyTbnEhnpz98I0/nTPDO5eOJKn7pjC1NRQVmzN5WcvbODj9UdoarZwMLeSp9/czp/+u4uaehO3XjyCJ26bxG9vn8zj35/Eghlx1DeZefvLQzz09/X8dcnubgcUlVQ28NnGo0waEUxStF+fzlNERET6h+OpN5HOxIZ6AXCksIYQf/ce72+z2fjPFweorTdx31WjcXbqOtpfRERERERERGSgRYd4sXBWPO+tzGTdnkJmjArr18/73+osDAZwd3Fk/d5CRsYH9OvniYiIDFXr9hzDZLYyZ2xEp+udHI3cevGIHh/Xy92ZH14+kqfe2MZLn+zjR1eNwtjN8lv1jWZe/DidAG9Xbjw/qcef3WrW6HAyjlby4TdZJEb6DFggypdb8ygoreNHV45qN57j7urEXZen8eTr2/j3p/u598qRvSpJ1vIZuTg5GjlnjH1KfcWEevHj68fy/posRsT4MSU1tEM2eX9vV265eATnT4rm/dWZfLAmi8835tDYbMHHw5lF8xKZNTq8Xdm7iCBPIoI8uWxGHIXl9WxML+SLzUd55KVNXD1nGLPHhHfaL0xmK6t25vPJ+iM4GA1cM2eYXc5TRERE7E8ZiXopPNADRwcjOYU1vdp//d5CtmaUcPnMOGKOByWJiIiIiIiIiJxOLpgYTVKUL299eZCSyt5nZT6VzPwqNu0r4oJJ0UxODWHHwRIamsz99nkiIiJDldVmY9WOfIZF+hAV7Gn348eHe3PdecPZnVnG5xu7nxXojRUZlFc3cceC1A5ZknrCYDCw+IIkgv3c+efSdKrr+r8Ea2VtEx+ty2ZUQgBjhgd2WB8X5s015w5j5+FSlm/J7dVn1DaYWL+3kKmpoXi5d7/k26lEh3hx39WjuWBSdIcgohNFBHpw75Wj+PmN4xmVEMDVcxL43Z1TOW98ZLsgou8K9Xfn8pnxPPb9ycSFefP6sgx+/9YOiirq27ax2mxsTC/kF//ayNtfHiIi0IOfLRqHv7er3c5TRERE7EuBRL3k6GAkKtiDI4U9rwVcXt3ImysOkhjpw0WTY/qhdSIiIiIiIiIifWc0Gvj+pSMwGOBfn+zDarV/iTObzcY7Xx/Cx8OZi6dEMy01lGazla0ZxXb/LJGuWG02mk2WwW6GiEif7T9SQVFFQ5fZiOzh3HERTBoRzPtrstifc+pypBvSC9mYXsSC6bEMi/Dp8+e7uThy12Wp1DWYeWFpOiaztc/HPJn/rjyMxWLl+rnDu9xm7vhIxiUGsWRVZrd+J9+1emc+JrOVeRMi+9LUPhsW6cOdl6Vx0eQYXHpQSSPY142HrhvDzRclc7S4hl+9vJkvNh1ld2YZj72yhRc/3oe7iyMPXDOaH18/VhPsRURETnMKJOqDmFBvcopqsdl69hJtyepMzBYbt16agtHYuxSXIiIiIiIiIiIDIdDHjUXzEjmcV8Xnm7qfeaC7thwoJjO/mitmxePq7Eh8uDchfm5s2Fto988S6cqSlZnc99xadmeWDXZTRET6ZOWOfDzdnJiQFNxvn2EwGLj5omRC/d154aO9VNQ0dbltSWUDry/LYFikD5dMs9/E6ugQL266MIn9ORW8uDQdi/XUwURFFfV8uTUXs6X7gUcZRyvYmF7EhZNjCPFz73I7g8HArRcnE+jrxh/f2cnSddndDsA2W6x8tS2P1Fg/IoLsn0VqoBgMBmaNDueJ26aQGuvPf1ce5tn3dlHfZOaO+Sn86paJpMUH9Lr0m4iIiAwcBRL1QWyoFw1NZop7kNo7+1g1G9OLOH9iFMG+bv3YOhERERERERER+5iaGsqE5GA+/CabQ3mVdjuuyWzhvZWZRAd7Mn1kGNAyCDU1LZQDRyspreq/cmoirWrqm/l6ex4ms5W/LNnFl1t7V5ZGRGSwlVc3suNQCTNHh520HJU9uDo78sOFI2kyWfnnR3vJK6ntEMxjsVp58eN0DAa449IUHIz2bdP0kWFcd95wth0s4ZXPDmA9yaTvAzkVPPHaVt768hAvfryvW4FHJrOVN1ccJMDblUumnjoIyt3ViV9+bwKTRrTcMz391vZu3ctsPVBMZW0z8yZGn3LbM4Gflwv3XjmSe68YyS0XJ/PkHVOYkhqKUQFEIiIiZwwFEvVBTEhL6sWcwppubW+z2Xj368N4uTt166ZTREREREREROR0YDAY+N4FSfh5ufDMWzv4fGPOSQfrumvF1jzKqhu59txh7bI2T00NBWBjelGfP0PkVL7enk+z2crDN45ndEIgb315iDeWZ3RrkFlOzh7XCRHpvjW7CsAG54zpv7JmJ4oI9OCmi5I4lFfFr17ezA//tIYn/rOV15dlsGZXAe9+fZjM/GoWn59EYD9NrD5/YhSXz4xj/d5C3lpxsNMKEt/sLuCP7+7E28OZS6bGsPVAMf86RTBRdV0zv397B3klddwwd3i3y3y5uzpyx4JUbr80hdziWh799xY27+/6fsZms7F8Sy6h/u6kxft36zPOBAaDgbGJQcwcFY6jg4YiRUREzjSOg92AM1lEkAeODgaOFNYwaUTIKbffcaiUg7mVLD4/ETcX/epFRERERERE5Mzh6ebEr26eyGtfHOC9VZnszS7ntktT8PNy6dXxKmoa+WT9EcYMC2REbPuBsyBfNxKjfFm/t5BLpsaoBIb0myaTha+25TE6IYD4cG/uuWIk7606zLLNuRRXNnDngjTcXfUerzeOFFbz3P/2kBztx/cvGdEuWFBE7M9ssbJ6VwEjEwIIGsBqCFNSQokL8yaroJqcwhpyCmvYuK+QlTvyAZiaGsKU4wHC/WX+tFgamyx8sfkobi6OXDk7AWgJZvzfqkw+33SUlFg/fnh5Gu6uTri7OvLeykyMBgO3XZrS4fqUW1zLX5fsorrexJ2XpTI2MajHbZqaFkpCpA//WprOPz9KZ09mGZdMi8XFyQEnRyNODkacHI1kFVRzpLCGxecnKmOPiIiInDb0FNwHjg5GIoM8u5WRyGyx8t7Kw4QFuDNrTPgAtE5ERERERERExL483Zz44eVpfLP7GG99eZBfvbyJmy8awfikng+wvbUsA5PZyjXnDut0/bS0UF79/ABHCmuIC/Pua9NFOrV+zzFqG0xcOLmlnIzRaODac4cT6u/OG8sP8tQb2/jRVaMGdFB+KNidWco/PkzH0cHAhvRCHIwGbr44WYPkMmSUVjVwOK+KlDh/vN2dB7s5AOw8VEpVbTNzLhyYbEQnCvFzJ8TPvS2joNVmo6SygWOl9aTE+vX75xsMBq6ek0BDs5lPN+Tg6uzA3PFR/OuTfWw/WMI5Y8K5YV5iW2aciybHYLPBklWZGAzw/Uu+DSbacbCEFz/eh5uLAz9bNK5P9yDBvm78dNE4Pl53hE82HGHd3sKObQc8XB2ZlhbW688RERERsTcFEvVRbKgXm/cXY7PZTjo7buWOfIoqGvi/q0bZvQ6wiIiIiIiIiMhAMRgMzBodTmKULy8sTef5D/Ywa3Q41503DFfn7r1qyjlWzfKNRzh3fCSh/u6dbjMhKZg3lh9k/Z5CBRJJv7BabSzbnEt8uDeJUb7t1s0eE0GQrxt//2Avv35lCxOTg5k8IpikaD9l1jmF1TvzeX3ZQaKCPbnv6lGs3JHP0nVHcHYysmheojKMyRlvb1YZLyxNp67RjNFgIC3enympIYwdHtTt8le9VVXbxCufHyC/pA6rzYbFasNqtWGxWmk2WQn0cWVkfEC/tqE7jAZDW3DRQDEYDCw+P4mmZgv/W53F6p0FlFU1ct15w5k3IbLDtefiKTFYrTbeX5OFwWDg1otH8PmmHN5fnUVsmBf3XDGq11kXT+ToYGThrHjGJwWRV1KLyWxt99NstpIY5YuLc//2HREREZGeUCBRH8WEerFqZwEllQ0Ed3FTXNdoYunabEbE+DEqYfBv4kVERERERERE+irU351fLB7PB2uy+GLTUTbtL2J8YhBTU0MZEdMx2MJitZKeXcHG9EJ2HC7F3dWJBdPjujy+u6sjY4cHsml/EdeeN6wti4CIvWw/WEJxZQNXnZPQaXBLSqw/v/jeeJauO8KmfUWs2VWAt4czE5OCmZQSTEKEjzLsnMBms/HBN9l8sv4II+MDuOvyVFydHblsRhzNJitfbD6Ks5MDV3fx+xY53dlsNj7fdJT/rc4kItCDOy9LY19OORvTi9idWYaLswPjhgcxLS2UEbF+dr8+5BTW8Nf/7aau0cT4xCAcHIw4Gg0Yj/84GA2MGRZ4Vgc7Go0Gbr1kBE0mC/tyKrj3qlGMGRbY5faXTottu3Zl5ldRVNHApBHB3HrxCJztHBQWHeJFdIiXXY8pIiIi0l8USNRHsaEtM+KOFNZ0GUj0yfoj1DeaufbcYXpIFhEREREREZEhw9HByNVzhjEuKYg1OwvYmlHM+r2F+Hg6M3lECFNTQ7FYbWxML2Tz/iKq6014uDoyZ3wUl06Pw93x5O9JpqWFsuVAMXuyyhg7vOfl00S60hoQEOznxrjErvtWWIAHP1iQSpPJwu7MMjbvL2LN7gK+2p5HoI8rt12a0iGb0dnIbLHyymcH2JBeyKzRYSy+IKktK3tryaEms4UvNh3FxcmBy2Z0HUQocjpqbDbz70/3szWjhEkjgrnlohG4ODuQGufPlbMTOHi0ko37CtlyoIQN6YUE+rhyztgIZowMw9uj76XPth4o5qVP9+Hp5sTPbxyvgJSTcHQwcs8VI2kyWbqVKXH+9DhsNvhobTaXz4xj/rRYjeOIiIjIWU+BRH0UEeSBo4OBnMIaJo0I6bC+uLKBr7blMX1kmG7uRURERERERGRISgj3ISHch0XzEtmdWcaG9EK+2pbH8i25QMug3phhAUxJDWVkfADhYT4AlJTUnPS4qXH+eLk7sX5voQKJxK4O5laSfayaxRckdSt7h4uTAxOTg5mYHExDk5mdh0v5aG02v397BzddmMyMUWED0OrTU2llA//+bD8HjlaycGYcl3YyCG8wGFg0L5Fmk4WP1mbj7GTkoskxg9RikZ4pqqjnb//bQ0FZHdfMGcYFk6La9XGjwUByjB/JMX4smpfI9oOlrN6Zz5JVmXywJovxSUHMGRtBYpRvjwNUbDYbH68/woffZJMQ7s09V4zEx7Pv5baGOoPB0O1yqwALZsRx/qSoHu0jIiIiMpTprqiPHB2MRAZ5cqSw8xdfS1ZlYjQaWDgrfoBbJiIiIiIiIiIysJydHJiQHMyE5GBqG0xsP1iCwQDjE4Nwd3Xq8fEcHYxMTglh1Y586hpNePTiGN1lMltxcDD0W6kqs8VKs8nSq99Dd5VVNWKz2fByd8bF2b4lWYaazzcdxcvdielpoT3e183FkanHg+L+8eFe/v3ZfvJLa7n6nGFnVUkhk7mlXNmn64+AAb5/yQimj+w6oMpoMHDLRSMwma28tzKTipomZo+JICLQY+AaLfIdVquNksoGCkrrqKpvxmS2YjZbaTZbMZlbrtvr9xZiMMAD144hNdb/pMdzcnRgckoIk1NCKCitY9XOfNbvKWTz/mLCAtwZlxjE6IRA4sO9T3m9aDZZ+Pdn+9m8v5ipqaHcfFESTo66tvcXBRGJiIiIfEt3RnYQG+rF2j3HePy1rd9ZYyP7WA0Lpsfi56VZAiIiIiIiIiJy9vB0c2LW6PA+H2d6Whhfbs1jy/5izhkbYYeWfau8upGdh0vZcaiUAzkVuLk4khzjR0qMHyNi/Aj2c+tzeZPGZjNrdhawbEsuVbXNzJ0QyWUz4nBzsc9rucraJjbvK2JDehE5Rd9OdHN2NOLl7oSnuzPe7s6MSghg1uhwnByNdvncM1l+aR27M8u4fEYczk69H5T3dHPi/mtG885Xh1i2OZdjZfX8YEGq3f5uT2d7s8p4c8VBiioamJAUxHXnDcff2/WU+xmNBm67NAUnRyNfbcvjy615RId4MjU1lEkjQnr8DvVYWR3l1U2kxp08uEMGTkOTmeKKBgrL66lpKsBogAmJgXi79728F7QEZdY3mqlvMlPXaKKx2UJMiBeebqcO0rRYrew/UkFWQTUFZXUUlNZTWF6P2WLtdHtHBwNOjg5EBnlw26UpBPm69ait4YEe3DA3kStnJ7BlfzFr9xzj841H+XRDDp5uTqTF+zMqIYDUWH9MZisllQ2UVjVSUtlASWUjWQVVFFc0cNU5CVw0OVrltkRERERkwBhsNpttsBtxpmluNlNV1dD256yCapauy8baya/S38uF689L1CwwOWMFBbWU5DtVunmR05X6sJyN1O9lqFLflrOR+r0MVT3p2zabjV++vBk3ZwcevnF8nzO+5JfWsT2jmO2HSsk5nmE6xM+N0cMCqak3sT+nnMraZgD8vV0YEeNHgLcrFqsNq9X27X9tNrzcnIgL8yYuzBtvj/aD5LUNJr7cmstX2/KoazSTHO1LgI8r6/cU4u3pzLXnDmPyiJBeDQw3NJnZfrCEjemF7MupwGZrmeg2OSUEdxdHahpM1NQ3U1NvoqbeRHl1I/mldQR4u7BgehzTRobiYDx7A4r+/el+Nh8o4g8/nN6t4IPuWLk9jzdXHCI0wJ0fXTWK4E4CDgb6ml5T38yWA8VsSC+kpKKB5Bg/RicEkhbvj1cvgzrKqhp55+tDbMsoIcTPjUXnJ5IWF9CrY1XVNbN5fxEb0wvJPlaDARgR68f4xCCGRfoSEejR6b/3+kYTmw8Us27PMTLzqwG4dFoMC2fGD/lAiyaThZr6ZqxWG8F+7oPdHGw2G0cKa9iaUUxmfjVF5fVU1TW328ZgAGdHB84dH8GFk6K71ffMFiuF5fXkFdeSW1JLfkkd+SV11DaYaDJZOmzvYDSQEuvPpBHBjB0ehLvrt8F8NlvLZN+N6YVs3l9Edb0JAxDg40p4oAfhgR6EBbgTHuiBv5crTo7Gtp/+yFBX12hib1Y5uzNL2ZNVTm2DqcM2BsDP24UgHzcumBzNmGGBdm+H9J3u0+Vsoz4vQ5n6twxVrX27NxRI1AvfDSQSGcr05SlnOvVhORup38tQpb4tZyP1exmqetq3l28+yjtfHybA24UZo8KZMTKMAJ9TZz85UUllA/9bncnm/cUAJIR7M2Z4IGOHBxEW4N4WgGCz2Sgsr2d/TgX7cyo4kFNBXaMZo8GA0WjAwfjtf+saTbS+WQv0cW0LKqqsbWL1zgKaTBbGDAvkkqkxJET4AC0T0l5fnkFOYQ3J0b4sOj+pW6WdSqsa2J1Zxu7MMvbnVGAyWwn0cWVKaihTU0MIC+j6GDabjX1HKnh/TSbZx2oI8Xdn4cw4JiQH91spt9NVRU0TP/nHes4ZE8Gi8xPteuz9R8r5+4d7MRgMfO+CJMYnBbULbOnrNd1ms9HYbKGytgmrDdxdHPFwdWyXVanJZGHX4VI27C1kb3Y5FquNiCAPooI82XekvCWIwgDx4d6MSghkzLBAooI9T/nZtQ0mvth0lC+35YINLp0WywWTou2W4epYWR0b04vYuK+QkspGANxcHIgP92F4hA8JkT5YrTbW7TnG9oOlmC1WIgI9mD4yjMLyOtbsOsY5YyO4cV7ikCgvV1HTxKZ9RezPqaC6vpna44GBzeZvM+ckRfkyf3osI2L8BjSAymqzkZVfzdaMYrZllFBW3YiD0UBcmDehAe6E+LkR6u9OiJ87I4YHUVLRwGufpLN5XxHOzg7MHR/JBZOi24L4LFYr+SV1ZB+rJqugmiOFNRSU1mGxtlxcHYwGwgI8iAzywNvDGXdXRzxcnXB3ccTd1RFHRyP7ssvZvL+YsupGHB0MjIwPYEJyMCUVDWxIL6SoogFHByNjhgUwNTWUlDh/XPqQjcxerFYbWceqyThagYerE4G+rgT5uhHg7Yqjw9kb7Hmm0H26nG3U52UoU/+WoUqBRANMgURyNtGXp5zp1IflbKR+L0OV+racjdTvZajqad+22mxsPVDMN7sKSD9SgQFIjfdn1qhwxgwPPOmAa12jiU/WH+GrbXkYDQbOnxTNueMi8PXsXgml1ldnnQ3UNzabySmsIftYDVnHqskuqKasuhGjwcDklGAumhJDZFDHIA2r1cbqXQW8vzqTxmYLM0eHE+LnhouzA67ODrg6O+Lq5IDFZmNfdjm7M8vIL60DINjXjVEJAUwaEUJChHePAghsNhs7DpXywTdZ5JfUERXsyazR4W1ZObzdnc6YjC5Wm409mWWs2VWAo4ORxChfkqJ9CQ/06BAcZbXayCupJeNoJVsOFJNZUMXvfjC1x2WKuqOoop5/fLiXo0W1jBkWyI3nJ7aV/Opuv6+qbSKroJrMgmqKKxuoqm2iqraZyrommk0dSzA5OhiPB1c4UlHTRGOzBT8vFyanhDA1NbQtUMhqs5FTWMOuw6XszizjyPGMXNEhLf1gSkoI7q7tMzQ1NJn5cmsuX2zOpbHJzKSUEK6cHU+gj/1/d9DSR0uqGjmcV8nh/GoO51WRX1JL6wtsD1dHpqSEMm1kKLGhXhgMBmw2G0tWZ/L5xqNMGhHMbZem9FsQRn2jiZyiWnIKa8gtriUswJ3ZY8J7neGp/bHNbDtYzMb0Ig7kVGADIoJasuR4ujnh5d7640xdo4kVW3KprG0mIcKb+dPiGBnv361/vzX1zWTmV3M4v4qsgirMVhuuTi3XHpfW68/x7Poms/XbH4uVZpOF7GPVVNY24+hgIDXWn/FJwYwZHthpdq8T+3x+aR1L12az9UAxLs4OjE8KoriigZzCmrYAKQ9XR+LCvIkK8SQqyJPIIE9CA9y79fdps9nIKqhm0/4ithwopqq2GQOQFO3L1NRQxicFt8tUJNJXuk+Xs436vAxl6t8yVCmQaIApkEjOJvrylDOd+rCcjdTvZahS35azkfq9DFV96dsllQ2s3X2MtXuOUVHThIerI7Fh3kQFebZkXgn2bMvOs3J7Hh+vP0J9o5npo8JYODMeP6/uBRD1VmtZHx+PUwcWVNc3s2RVJuv3FGLt4hWdg9FAYpQvoxICGJUQQKi/e5+DfaxWG5v3F/HR2myKKr59x+Xh6khYoAfhAR6MiPFj4ojTL2NRXaOJtbuP8fX2PEoqG/HxcMZoNFBR0wSAp5sTwyN9SIryxWKzkXG0kkN5VTQ0mYGWzFHnHc+I0l8sVisrtuTx4TdZGI0GrpydwJyxEYSEeAPt+73ZYuVoUS2ZBVVk5leRVVBNaVVLRh4Ho4FAXzd8PZzx8XTG19Ol5b8eLjg4GKhrNFPfaKK+0dzy/01m3F0cmZwSQlKU7ykz81TVNrE1o4Q1uwrILa7FydHIhKRgZo8JJzbUi5U78vl0Qw61DSbGDg9k4cx4IruRvcje6hvNLQEvFhupcf5dZkH6fGMO763KZGR8AD9cmGaXjDO1DSbW7znG4fwqcopq2rIlAXh7OFNd14yTo5GpqaHMmxBJRCeBgydjtdrYm13O2j3H2HW4FJPZSrCfG1OOB4GF+HddvsxktrB29zE+25hDWXUTMaFeXDQ5Gl9PF0xmK81mS1sQUGOzhZzCGg7nV1FYXg+09K/oEE9cnR1pbDbT2Gw54aclC5ujoxEnByPOTi3/dXJ0IMTPjfFJQYweFoiby8kDczq71ueV1LJ0bTbpR8qJCPRsyeQW7kV8mDdBvm52CWa0Wm1kF1bj5+nSFsgnYm+6T5ezjfq8DGXq3zJUnXaBRO+//z4PP/wwb775JhMmTOj2fkVFRTz//POsW7eOkpISwsLCWLBgAbfffjvOzh1fvlRXV/PCCy/w5ZdfcuzYMQIDAzn//PO555578PTsv4daBRLJ2URfnnKmUx+Ws5H6vQxV6ttyNlK/l6HKHn27dQB+64FicktqyS+pw2xpyWphNBhwc3GgrtFMapw/V5+TQHRI71+g9TertaVkVZPJ0m5A32q1ER/ufcrB+t6y2WxU1jZTUFZHQWkdx0rrKCirp6C0jtoGEzEhXlxz7jBGxPj16LhNzRYO51eRkVtJXnEtDkYDTm2BCEacHVsyn8SFeTEswveUWULMFiu5xbWs2VXAhvRCmk1WhkX6MHd8JOMSg3AwGiitauRgbiUZRys5mFtJcWXLu7tQf/e2bEVJUb4DGlRQUtnAf5ZlkJ5dTkK4N/ffMB53Vye27C0gM7+KzIIqcgpr2/qtv7cL8eE+JIR7kxDhQ0yIJ06O/V9+yWazkVNUw5pdx9iYXkhjswVHByNmi5XUWD8WzkogPty739thD2t2FfDaFwdIiPDhvqtGdciw1F0FpXV8uTWX9XsLaTZbCfZ1IzrUi5gQT2JCvYgO8cLb3Zn8klq+3JbH+r2FmMxWUuP8OX9iFKlx/icNwquqa2bt7gJW7yygtKoRTzcnJo8IYUpaCPFhPcs0ZrZYWb+3kE83HGkX6PRdnm5ODIvwYVikD8MifIgN9WpXFu9ENpvNLgE9uo+RoUz9W8426vMylKl/y1B1WgUS7dixg1tvvZX6+voeBRIVFhZy7bXXUlhYSEpKClFRUWzfvp2SkhImTZrEv//9b5ycvn3wq62t5YYbbiAjI4O4uDgSExNJT08nLy+PYcOG8c477+Dl1T8viBRIJGcTfXnKmU59WM5G6vcyVKlvy9lI/V6Gqv7o2xarleKKBnKLa8krqaW0qpFpqaGkxQfY7TPOFlabjU37inh/dSZl1U2MTgjgqjnDiAj06HT76rpmjhRWk3G0kozcSnIKa7BYbRgNBsICWjKqnJgdpSVbSkvwjMEA0cFebcE+8eHeVNQ0kVNUw9HCGnKKasgtbgkSc3I0MiUlhHPHRRITevL3fhU1TRiNhm5lhupPNpuNjfuKePvLQ9Q2mNqWOzkaiQ31IiHch/jjgUP9nS2rO5qaLWzNKCYjt5JpqaEk9zCI7HSw9UAxLyxNJ9DXjbRYfwJ9XQnydSPQp+W/XQXm2Ww20rPLWb41l71Z5Tg6GJmWFsLcCVGdlig8UU19M6t3FvDV9jyqaptxd3EkLNCd8ICWsoFhAR6EB7pTWtnIqp35bMsowWK1kRztyzljIxiXGNTncmwWq5WDuVVYbbb2WYScHHB2NOLj4TzgpQt1HyNDmfq3nG3U52UoU/+Woeq0CSRatmwZDz/8MHV1LTXbexJIdOedd7Jy5Ur+7//+jx/+8IcA1NfXc/fdd7N+/Xp++tOfcuutt7Zt/8QTT/D6669zzTXX8Jvf/Aaj0YjZbObnP/85H330ETfeeCO//OUv7XVq7SiQSM4m+vKUM536sJyN1O9lqFLflrOR+r0MVerbZwaT2cKXW/P4ZMMRGpstzB4dzrSRYRSV15NbXEt+SS25JXVUHy/n5mA0EBfuTVJUS/afhAifLoM2mkwWso5nLTqYW0lmQTWm48FFrdxcHNsywMSEeJEWH4CnW+8yzAy2mvpmNh0owcvDmWBvF6KCPfscOCJdSz9SzpKVmRRX1tPQZGm3zs3FEWdHIw4OBowGAw5GA0ajgWaThbLqJnw8nDl3XASzx0bg7d6zQDSzxcrWjGIO5VZRUFpHQVkdNfWmdtu4uzgyfWQY54wNbyvDOFTpWi9Dmfq3nG3U52UoU/+WoWrQA4kKCwv505/+xEcffYSbmxseHh6UlpZ2O5AoKyuLiy++mKioKJYtW4bR+O1DdEFBAXPnziU0NJSvv/4aaClpNnPmTBwdHVm9enW7MmZ1dXXMmTOHpqYmNmzYgLt713Wke0uBRHI20ZennOnUh+VspH4vQ5X6tpyN1O9lqFLfPrPU1DezdN0RVu3Ix2JteZXo5GgkPNCDqCBPIoM9iQ72JC7cG5cuSiWdislsJftYNUeOVePv7Up0qBdBPq4DnkGlP6nfDzybzUZdo5mSygZKqxoprWygvLoJk8WK1WrDYrVhsbb8P8CY4YFMTA7BydF+QV419c0cO14y0MXZgfGJQV2WFBtq1OdlKFP/lrON+rwMZerfMlT1JZDILgXWn332WT766CPS0tJ48skneeKJJygtLe32/mvXrsVmszFnzpx2QUQA4eHhpKSksGfPHg4fPsywYcPYsmULjY2NzJ07t10QEYCHhwdTp07liy++YMuWLcyePdsepygiIiIiIiIiInJW8nJ3ZtG8ROZNiCS3uJbwQA9C/NwxGu0X5OPkaCQxypfEKF+7HVPEYDDg6eaEp5sTcWHeg9IGL3dnvNyd1bdFREREROSMYZepFfHx8Tz99NO89957JCUl9Xj/w4cPAzB8+PAujw9w8ODBHm2fkZHR47aIiIiIiIiIiIhIR8F+7oxPCiYswMOuQUQiIiIiIiIicvqwS0aiO+64o0/7FxcXAxAcHNzp+qCgIIC2LEclJSXtlne1fVlZWZ/a1RVnZ8c+pYESOROpz8uZTn1Yzkbq9zJUqW/L2Uj9XoYq9W05G6nfy9lGfV6GMvVvOduoz8tQpv4t8i37FXvug4aGBgBcXV07Xd+6vL6+vt1/3dzcurW9iIiIiIiIiIiIiIiIiIiIiIicnF0yEvWVg4MD0FKz+mSsVmuvtre35mYzVVUN/XJskdNNa/RtSUnNILdEpHfUh+VspH4vQ5X6tpyN1O9lqFLflrOR+r2cbdTnZShT/5azjfq8DGXq3zJU9SXL1mmRkag1s1BjY2On61uXu7u792p7ERERERERERERERERERERERE5udMikCg4OBiA0tLSTteXlJS026672wcFBdm1nSIiIiIiIiIiIiIiIiIiIiIiQ9VpEUg0fPhwAA4fPtzp+szMTAASExN7tH1SUpJd2ykiIiIiIiIiIiIiIiIiIiIiMlSdFoFEM2fOBGDlypVYrdZ26woKCti/fz8REREMGzYMgIkTJ+Lq6sqGDRuor69vt31dXR0bNmzA3d2d8ePHD8wJiIiIiIiIiIiIiIiIiIiIiIic4QY8kKigoIDMzEzKy8vblkVFRTFz5kyysrL4y1/+0ra8vr6eRx55BIvFwi233NK23N3dncsvv5yqqip+85vfYDabATCbzTz22GNUV1dz7bXX4unpOXAnJiIiIiIiIiIiIiIiIiIiIiJyBnMc6A/86U9/yubNm7nnnnu4995725Y/+uijXH/99fzzn//k66+/Ji4uju3bt1NSUsKsWbO4/vrr2x3n/vvvZ9OmTXz44Yds27aNlJQU9u3bR25uLqmpqe2OLSIiIiIiIiIiIiIiIiIiIiIiJ3dalDaDlqxE7733HldccQXl5eWsWrUKHx8fHnzwQf72t7/h6Ng+5snX15d33nmHxYsXYzabWblyJUajkdtuu43XXnsNDw+PQToTEREREREREREREREREREREZEzj8Fms9kGuxFnmuZmM1VVDYPdDJEBERTkBUBJSc0gt0Skd9SH5Wykfi9Dlfq2nI3U72WoUt+Ws5H6vZxt1OdlKFP/lrON+rwMZerfMlS19u3eOG0yEomIiIiIiIiIiIiIiIiIiIiIyOBRIJGIiIiIiIiIiIiIiIiIiIiIiCiQSEREREREREREREREREREREREFEgkIiIiIiIiIiIiIiIiIiIiIiIokEhERERERERERERERERERERERACDzWazDXYjzjRWqw2z2TLYzRAZEM7OjgA0N5sHuSUivaM+LGcj9XsZqtS35Wykfi9Dlfq2nI3U7+Vsoz4vQ5n6t5xt1OdlKFP/lqGqtW/3hgKJREREREREREREREREREREREREpc1ERERERERERERERERERERERESBRCIiIiIiIiIiIiIiIiIiIiIiggKJREREREREREREREREREREREQEBRKJiIiIiIiIiIiIiIiIiIiIiAgKJBIRERERERERERERERERERERERRIJCIiIiIiIiIiIiIiIiIiIiIiKJBIRERERERERERERERERERERERQIJGIiIiIiIiIiIiIiIiIiIiIiKBAIhERERERERERERERERERERERQYFEIiIiIiIiIiIiIiIiIiIiIiKCAolERERERERERERERERERERERAQFEomIiIiIiIiIiIiIiIiIiIiICAokEhERERERERERERERERERERERFEgkIiIiIiIiIiIiIiIiIiIiIiIokEhERERERERERERERERERERERFAgkYiIiIiIiIiIiIiIiIiIiIiIoEAiERERERERERERERERERERERFBgUQiIiIiIiIiIiIiIiIiIiIiIoICiURERERERERERERERET6nc1mG+wmiIiIiJySAomOW7x4MUlJSbz//vuD3RQRu9q0aRNJSUnd+ult/09KSiIlJcXOLRdp8f7777f10RkzZmC1Wk+6/bJly9q2/9nPfjZArRTpfwcPHmzr2y+++OJgN0ekR3QtF+lIz6ByNulrf299rr355pvt2zCRPtD9uZwtKioqePbZZ1m4cCETJkxg5MiRnHPOOdx3332sWrVqsJsnYjcWi4UPP/yQH/zgB8yYMYO0tDQmTJjAddddx0svvURNTU2fP2PdunXcdtttdmitSM+0vpcZO3YseXl5J902JSWFpKSkAWqZSN91NQ6akpLCuHHjuOSSS3j88cfJzMwc7KaKnFEcB7sBIjIw3N3dOe+88066TXR09AC1RqR3SkpK2LZtGxMnTuxym88++2wAWyQycFoH3lxcXHjvvfe4/fbbMRgMg9wqkZ7TtVxERESGAt2fy9lg79693HrrrVRVVREREcGYMWNwdXWloKCAL774gs8//5z58+fzzDPPYDRqzrKcuXJzc/nhD3/IwYMHcXBwYOTIkYwbN46ysjL27dvHjh07ePXVV/nrX//KuHHjevUZRUVF3HrrrURERNi59SLdV19fzy9/+UteeeWVwW6KiN19dxzUYrFQU1PDgQMHeOONN/jvf//LY489xsKFCwexlSJnDgUSiZwl/Pz8+MMf/jDYzRDpNW9vb6qrq1m2bFmXg8/19fWsXr0aJycnTCbTALdQpP+YzWaWLl1KaGgoEydO5OOPP2b9+vVMnz59sJsm0iO6louIiMhQoPtzORuYzWb+7//+j+rqap544gmuvPLKdsFCBw4c4Ac/+AEff/wxaWlpyhonZ6yioiKuu+46SktLufjii/nZz35GSEhI2/qamhpeeuklXnjhBb73ve/x8ssvM3ny5B5/jkqayeli/fr1vPfee1x99dWD3RQRu+pqHNRms/HOO+/wxBNP8MgjjxAaGsrUqVMHoYUiZxZNExARkTPCjBkzcHFxYfny5V0+eK9cuZKGhgZmzpw5wK0T6V+rVq2irKyMadOmcdFFFwHw7rvvDnKrRHpO13IREREZCnR/LmeDbdu2kZeXx7Rp07j66qs7ZBxKTk7m0UcfBeC///3vYDRRxC5++tOfUlpayvXXX8+f//zndkFEAF5eXtx///388pe/xGQy8fDDD1NbWztIrRXpm9DQUACefvppioqKBrk1IgPDYDBw/fXXc99992E2m3n66acV3CnSDQokOomGhgZeeuklrrnmGiZOnEhaWhrTp0/nnnvuYffu3e22ba2/+PTTT3Po0CF++MMfMmnSJEaPHs11113Hl19+OUhnIdI7mZmZ/PjHP26rB33uuefyxBNPUFZW1uU+paWl/PSnP2Xy5MmMHTuWxYsXs3r16gFstQxl7u7uzJo1i6KiInbs2NHpNp999hnu7u6cc845HdaZzWbeeecdFi9ezOTJk0lNTWXy5Ml8//vf55tvvmm37YnX9FdeeYUpU6YwZswY7rzzzv44NZFT+uCDDwC44IILmDVrFr6+vnz11VeUlJR02Pbcc89lwoQJ1NfX89hjjzFt2jTGjh3L1VdfzSeffNJh+8WLF5OUlMShQ4dYtGgRaWlpzJo1q8O/CxF7GKhreWlpKampqYwdO5aGhoYOxzGZTEydOpWxY8dSX19vt/MT6YvnnnuOpKQk/v73v3dYt3XrVpKSkli8eHHbsry8PJKSkvjRj37EsWPH+PGPf8zUqVMZNWoUl19+Oe+9995ANl+kR3ra30VONz25P09KSiIlJaXT49x8880kJSWxadOmdsvr6+v529/+xgUXXMCoUaM477zz+Nvf/kZubi5JSUn87Gc/s/9JiXxH6zvAk5XsmzZtGpdeemmHbFxVVVX8/ve/5/zzz2fkyJFMmTKFH/3oRxw4cKDDMVqfScvLy/nLX/7C7NmzGT16NPPnz+fNN9/EarXa98RETrBr1y42bNiAv78/Dz/88Em3XbRoEWPHjiU/P5+PPvqo3br169dz5513tr2Dueyyy3jttddobm4GWu59Zs+eDUB+fr7udWTQzJgxg7lz51JTU8Mvf/nLbu/X0NDA3//+d+bPn8+oUaMYN24cixYt6vCu8ZlnniEpKYm//e1vnR7njTfeICkpiSeeeKJP5yHSG7fccgshISHs37+fnTt3ti03m828+eabXHHFFYwdO5Zx48Zx4403snz58i6P9fnnn/O9732PyZMnM2HCBK6++mo+/PBD3bfIkKJAoi40NjayaNEifv/731NUVMSECROYPn06BoOBFStWcMMNN7Bnz54O+x04cIBrrrmGPXv2MH78eBISEtixYwd33303y5YtG4QzEem5tWvXcuWVV7J06VICAgI499xzcXZ25vXXX+fKK68kNze3wz42m41FixaxbNkyxo4dy6hRo9i2bRt33HEHb7755iCchQxFrTM9O7ue1tbWsmbNGs4991xcXV3brbPZbNx99908+uijHDp0iNGjRzN79mw8PT1Zu3Ytt99+e6cBn19//TVPP/00I0aMIC0tjejo6P45MZGTKC8vZ/Xq1QQEBDBjxgycnJy45JJLMJvN/O9//+t0H6vVyg9+8APeffddkpKSGD9+PPv37+fBBx/kT3/6U6f73HPPPeTm5nLOOedgNBq7HOwQ6auBuJYHBgYyc+ZM6uvrO72+r1mzhvLyci688ELc3d374SxFBk5hYSFXX301a9asYdSoUaSlpXHgwAEeeeQRXnnllcFunojIkNOb+/OeaGho4NZbb+W5556jtraWc845h4CAAJ577jkefPBBO5yBSPckJSUBLe8J//nPf3aagcXV1ZU//vGP/OIXv2hbVlBQwJVXXslLL72E2Wxm1qxZxMbGsnz5cq6++mpWrlzZ6ef9/Oc/5+9//zuRkZFMmzaNvLw8HnvsMX784x/3zwmKQNvz4oUXXoiLi8spt7/yyisB+Pjjj9uWvfDCC9x6662sWbOGhIQEpk2bRlFREU8++ST3338/VquVpKQk5s2bB7RMsJk/fz7Tpk3rhzMSObVf//rX+Pj4sHr1aj788MNTbl9eXs7VV1/NX/7yF0pKSpg5cyZjx45l9+7dPPjgg+2C8C677DKgJciiM62BRwsWLOj7iYj0kKOjY1sG9A0bNgAtkw3vvPNOHnvsMfLy8hg/fnxb/7733nv585//3OE4v/rVr7jvvvvYsWMHaWlpTJgwgcOHD/PTn/6UJ598ckDPSaQ/OQ52A05Xb7zxBunp6VxwwQX86U9/wtGx5VfV3NzMQw89xLJly3j33XcZOXJku/3Wr1/PFVdcwa9//eu2G89nn32Wf/zjH7z88stccMEFA34uIj1RXl7OAw88gMlk4m9/+1vbA47NZuOf//wnzz77LD/+8Y9555132u1ntVppbm7m448/JioqCoDNmzdz22238bvf/Y7Zs2cTGRk54OcjQ8s555yDq6sry5cv7zBL6Msvv6S5uZmLLrqIurq6duu++OILVq1axdixY3n11VfbBqetViu/+93veO2113jzzTeZO3duu/2OHDnCL37xC773ve+1bS8y0JYuXYrJZGLBggVt9yNXXnklb775Jv/973+54447OqSYr6urIz09nddff51x48YBsH//fm666SZefPFF5s6dy6hRo9rtYzab+fTTT/Hy8sJqtXY4poi9DNS1/KqrrmLlypV89NFHzJ8/v92xWmePLly4sL9OU2TA7Nq1i5kzZ/KnP/0Jb29vAN577z0eeeQRXn75ZW655ZZBbqGIyNDSm/vznnjhhRfYsWMHM2bM4LnnnmsLev7ss88USCQDKiEhgSuuuIL333+fP//5zzz//PNMnDix7Wf06NE4OTl12O+hhx4iNzeX22+/nfvvvx8HBwcA1q1bx1133cWPf/xjli1bRkBAQLv9vvnmm3bvIvPz81m8eDGffPIJ8+bN48ILL+z/k5azzq5duwBIS0vr1vaTJk0CWt6xAOzZs4dnn30WHx8fXn755bbj1NTUsHjxYr788ku++OILLr74YkaNGsWKFSvw8/PjD3/4Qz+cjUj3BAUF8fDDD/Ozn/2Mp556iunTpxMUFNTl9r/61a84dOgQ8+bN45lnnmm7N8nJyeH73/8+77//PqNGjeL6668nKSmJ5ORkDhw4wMGDB0lMTGw7TkFBATt37iQuLq7De0mRgRIfHw9AdnY2AM8//zzffPMN06dP509/+hO+vr5ASxboW265hX/+859MnDiRGTNmALB8+XLeffddIiMjefXVV9vGQwsLC7n22mt5/fXXmT9/PqNHjx74kxOxM40QdcHV1ZXZs2fz4IMPtr0UAHB2duaKK64A4NixYx32c3Fx4Re/+EW76PVFixYBcOjQoX5utUjXWlOmdvXTmkZ7yZIlVFVVceONN7Y9uENLGuO77rqLtLQ0duzY0Wk5kgceeKDtSxNaHqwWLVpEc3OzXWbliXh4eDBr1iwKCgo6lJj8/PPP8fLyYtasWR32s1qtnHvuuTz00EPtMlwYjUauvvpqoOVB5rucnZ257rrr2m0vMtDef/99gLb7D4DU1FSSk5PJz89n7dq1ne539913twURAYwYMYK7774bm83Gu+++22H7hQsX4uXlBaivS/8aqGv57NmzCQgIYP369ZSWlrYtr6qq4uuvvyYqKoqJEyfa+/REBsUvf/nLtiAiaPnOcHNzo6SkhIqKikFsmYjI0NPb+/PusFgsvP322zg5OfH000+3y5x48cUXt/tMkYHw+OOPc++99+Lm5kZzczPr1q3j2WefZdGiRUyePJmf/OQnHD16tG37nTt3sm3bNlJTU3nwwQfbgogApk+fzqJFi6ipqWHJkiUdPuvaa69t9y4yIiKCn//85wAdJjSK2Et5eTnQktW2O1q3a2xspKqqinfffRer1cq9997bLhjJy8uLBx98kLi4uE7fOYoMtoULFzJr1iwqKyv5zW9+0+V2eXl5rFixAl9f3w73JjExMW3ZV15++eW25a3Zhj777LN2x/r000+x2WzKRiSDqvXdSUVFBc3Nzbzxxhu4uLjwzDPPtAURAURGRrZlXDwx2/Pbb78NwCOPPNJuPDQ0NJS7776bxMTEtiAlkTOdRom6cOONN/Liiy8SExPTtqy6upqtW7eyZs0agLb6ticaNmwYnp6e7ZYFBgZiMBhoaGjo30aLnERrytSuflofgloDiiZPntzpcVqjbrds2dJuuYODQ1upkhPNmTMHgK1bt9rtXOTs1trPvvjii7ZlVVVVrFu3jrlz5+Ls7Nxhn0suuYR//OMfTJgwoW1ZfX09u3fvbiutYzKZOuwXHx/f6fFEBkp6ejoZGRmkpqa2m8ED36bT7iwoCFr6/Xedd955QMdrOEBycnJfmyvSbQNxLXdycmLBggVYLJa21NnQ8uLKZDJx+eWXYzAY7H5uIgPN19e33XMrtNyb+/v7A+g5VETEjvpyf97d41dWVjJ27NhOB7WVkUUGmqOjI/fccw9r167lD3/4AwsXLiQiIgJoyYT70Ucfcemll/LVV18B375XnDRpUqf32q3lRDZv3txh3cUXX9xh2axZs3BycmLr1q3KEi39orVfnTiZ/GRO3M5ms7X15dZ34CeaOXMmX3zxBbfddpsdWipif48//jienp6sWLGiQ9BPq9ZxnVmzZuHh4dFh/aRJkwgKCiI3N5fCwkIALr30UoxGY4fyZp999hkGg6FD1miRgdQ6tm8wGEhPT6empoZhw4Z1eu89depUHB0d2bZtGxaLBZvNxpYtW3BycmobKz3RNddcw8cff8zll1/e36chMiBU2uwkiouLefPNN9m0aRPZ2dlUVlYCnHTAoXUm/4kMBgNGoxGLxdJfTRU5pe6mTG3NtHXXXXd1a7tWISEhnT5whYaGAi3/nkTs4cSSOD/5yU8AWLFiBSaTqdOXTq2qq6t55513+Oabb8jKymrLTnGya7qPj499Gy/SQ62znUtLS1m8eHG7da1ln1atWkVRUREhISFt65ydnduuvycKCwsDOr8mq7/LQBqoa/kVV1zBK6+8wtKlS7n55psB+PDDDzEYDHqolyGjs2dQoC0DgAbdRETsp7f3593V+q4lPDy80/WtARwiA83T07NtMiK0ZKhYtWoVr7zyCnl5eTz00EN89dVXbX34lVdeaTd7/7taB5tP9N3AaGh5tg0ICKCwsJDKysq2QGkRewkJCSEzM7PbWTxLSkoAcHNzw9fXt+3Pnb2DETndhYaG8pOf/IRf/epXPP7440yZMqXDdbb1HeLJ7kEiIyMpKSmhpKSE0NBQQkJCmDp1KuvWrWPfvn2kpKSQlZXFvn37GDduXLssLiIDraqqCmh5F95635Kenk5SUlKX+5jN5rb9TCYTYWFhnZZ3FRlqFEj0Ha2DEBs3buTOO++koaGB8PBwJk2aRHx8PGlpaTg6OnLnnXeedH+RM1VrwNt5553XLk3ld303c8WJ5fw6oy9VsRd3d3dmz57NsmXLSE9PJzU1lc8//xxfX1+mTZvW6T4HDx7kpptuory8nMDAQEaOHElCQgIpKSnExMS0zRz9LpV3ksHU3NzclkWlqKiIoqKiTrczm80sWbKEu+++u23ZienjT2Sz2YDO+7buYWQgDdS1PDExkZEjR7Jnzx4yMzNxcHBg165dTJo0icjIyP4+TZFu6c7192TBQLp+y5mkr/1dZDD15f68K9+ddGg2m4Gu/x203s+LDIRDhw5RUlLC5MmTOzxjRkZGcuONN3LZZZdx1VVXceTIEb7++uu2vjtmzJiTDhR3FhDUm+dYkb4aMWIE69evZ+fOnVx66aWn3L61PHdrVrrW67bImeraa6/ls88+Y+PGjTz++OP8+c9/7vExWu9nTswuvWDBAtatW8fnn39OSkpKW8ajyy67zD4NF+mlAwcOAJCUlNR23xIZGcnYsWNPua8ShsjZ5qwKJNq9ezf/+te/SEpK4p577mm3rrUMgoeHBzabjUceeYSGhgaeeOIJrr766nbbfv311wPWZpGBFhwczJEjR7j11lvblQ45ldbZF9+Vn58P0KuZeCJdufDCC1m2bBnLly8nPDycjRs3cuWVV3aZhvjxxx+nvLycu+++m3vvvbfdAEZGRsZANVukR7766isqKyuZOnUqr776aqfbrFixgnvuuYclS5Zw1113tb1YbWhooLq6uq3mc6uCggLg28xEIoNpoK7lV1xxBXv27GH58uVtgxNXXHGFfU9GpAvdfQaFbwMsOnsxVV1d3c8tFek79XcZ6np7f24wGNpKIXw3mK6mpqbdn1vfnXw3C3SrzrK4iPSXe+65hyNHjvDBBx+QkpLS6TZeXl6cf/75vPjii1RVVREUFATA7Nmz+eEPf9ijzysqKuoQYNTc3ExZWRnu7u74+vr26jxETmb+/Pm8/PLLfPrppzz44IO4ubmddPslS5YALUESAEFBQeTn51NUVNQhm5zZbObdd98lLi6uywkzIqeDJ554ggULFvDZZ59xySWXtFsXHBwMtGSi60rruhNLQ82bN49f//rXLFu2jAcffJDPPvsMJyentlL3IoOhsbGRjRs3Ai1ly1ozikZFRXWroktzczNOTk6UlpZiNps7vMOsqKhg2bJlJCUldSswSeR0d1aF8VdUVLB8+XK2b9/eYV1rEERwcDDl5eXk5uYSFBTUIYgIYN26dYBmycnQ1Bo8tGbNmk7XP/zww1x55ZVttc9b1dbWsmvXrg7bL1u2DIDJkyfbuaVyNpszZw5ubm4sW7aMr776CrPZfNKHkNbZQnfeeWeHF7e6psvp6oMPPgDo8AB/otmzZ+Pr60tBQUGH6/bq1as7bN967Z4+fbodWyrSOwN1Lb/00ktxcXFhxYoVfP3117i7u3PBBRfY8UxEutbdZ1D4NsCiswD9zu6zRU436u8y1PX2/rw123NrSdZWtbW1HD58uN2ytLQ0PDw82LlzJ+Xl5R2Ov3Llyj6dg0hPtA6AvfnmmyfdLjs7G4Bhw4a1e6/YWQatd955h0svvZTnn3++w7rOnmFXrVqF2WxWEIb0mxEjRjB37lzKy8t5/PHHT7rt+++/z7p16wgODm4LJGr9d9LZu/Tt27fz2GOPtQWfKpOonK6ioqJ44IEHAPj1r3/d7vo9fvx4DAYD33zzTVvQxYk2btxIeXk5CQkJBAQEtC338PBg7ty55OTksGzZMjIzM5k9ezY+Pj79f0IiXXjjjTeoqqoiJSWFtLQ0Ro4ciaurK3v27On03jsjI4N58+Zx7733YrPZcHZ2Ji0tDZPJxIYNGzpsv2rVKh599FGWLl06EKcj0u/OqkCi0aNH4+TkxJYtWzh48GDb8tWrV5OXl4eXlxepqan4+vri6upKaWlpuxdYNpuN//3vf7z99tsANDU1Dfg5iPS3a6+9Fjc3N/7973+zYsWKduvef/99PvjgAw4ePMjo0aM77PvLX/6y3ZftV199xX//+188PT27LB0l0htubm7MmjWL7OxsXn75ZYKCgk4arNZap/y7AXCrVq3iueeeA3RNl9NLcXE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      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 1161
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax= plt.subplots(1,1, figsize=(20,4),); River_Arno.loc['2008'][\"Hydrometry_Nave_di_Rosano\"].plot( lw=0.75); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OeOQkOSzYnjP"
   },
   "source": [
    "s = \"2016/12/07 17:45\"  \n",
    "d = datetime.strptime(s, '%Y/%m/%d %H:%M').date(); type(d) # datetime.date"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ptTfyqfaYnjQ"
   },
   "source": [
    "#### Rainfall in Valdisieve and Valdarno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "ZyH4gClqYnjQ"
   },
   "outputs": [],
   "source": [
    "River_Arno_Rainfall=River_Arno.Rainfall_Le_Croci+ River_Arno.Rainfall_Cavallina+ River_Arno.Rainfall_Mangona+River_Arno.Rainfall_S_Piero +River_Arno.Rainfall_S_Agata \n",
    "River_Arno[\"Rainf365\"]= River_Arno_Rainfall.rolling(365, ).sum().fillna(method='bfill', limit=365)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xJjBrjZWYnjR"
   },
   "source": [
    "Column River_Arno[\"Rainfall\"] was used once, but later abandonned. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "62j3T8LWYnjR"
   },
   "source": [
    "We split the rainfall of the North area up because their location has different impact on the water level at Rosano. After inspection topography maps, I noticed that run off water is not passing the lake for these 2 locations: S. Piero & S.Agata.  \n",
    "And this pitfall is a fact I discovered studying the topography of the area: the rainfall in Vernio  seems to have shorter run off times than the run offs of the lake.  \n",
    "Rainfall in Casentino and Bibbiena seems also to have longer time lags. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "hz2xTbn0YnjR"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"RainNO_3\"]=River_Arno.Rainfall_Le_Croci+ River_Arno.Rainfall_Cavallina+ River_Arno.Rainfall_Mangona \n",
    "River_Arno[\"RainNO_2\"]=River_Arno.Rainfall_S_Piero +River_Arno.Rainfall_S_Agata\n",
    "# River_Arno.Rainfall_Vernio  River_Arno.Rainfall_Incisa River_Arno.Rainfall_Bibbiena "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YnlQlsqSYnjR"
   },
   "source": [
    "Vernio rainfall runoff water is flowing via the Bisenzio stream into Firenze. The water might hinder the runoff of rainwater higher up, and influence the flow rate upstream at Nave di Rosano a bit. \n",
    "\n",
    "Laterina is nowadays called Pergine Laterina ."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AOSCF3E6YnjR"
   },
   "source": [
    "Obstacles for decent basin-wide predictions are:\n",
    "- for 9 stations of the 14, there is only rainfall data for period 2004-> mid 2007 available. \n",
    "- Rainwater fallen on the area's Le Croci, Cavallina and Mangona must pass through the lake reservoir. \n",
    "- there has been mentioned that the lake has 2 regimes, buffer water in winter, and feed the Arno in summer, but the actual times vary from year to year.\n",
    "- 'Laterina' is data for upper level subbasin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QpTUdjmEYnjW"
   },
   "source": [
    "Let's use the info which was provided about the lake: \n",
    "  - There has been mentioned that the lake storage has 2 regimes, buffering water in the winter, and feeding the Arno in summer. It is guessing how the run off is managed in a certain regime: no start or end times were given. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "idDZwJr1YnjW"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"Rainfall_Bibbiena\"] = River_Arno.Rainfall_Stia +River_Arno.Rainfall_Bibbiena + River_Arno.Rainfall_Camaldoli # River_Arno.Rainfall_Consuma "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TnYEXk9dYnjX"
   },
   "source": [
    "making some estimated shifts in time, so no longer a general shift."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "TfYFMU3oYnjX"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"Rainfall_X\"]=River_Arno.Rainfall_Incisa+ River_Arno.Rainfall_Montevarchi+River_Arno.Rainfall_S_Savino#+River_Arno.Rainfall_Laterina \n",
    "#.shift(1) River_Arno.Rainfall_Consuma + # medium  upper Arno basin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EB2UCRJlYnjX"
   },
   "source": [
    "storage=[6,7,8,9,10]\n",
    "if River_Arno.loc[River_Arno.month.isin(storage) ] :\n",
    "    River_Arno[\"Rain_TOT\"]= River_Arno[\"RainNO_2\"] +River_Arno[\"Rainfall_X\"]+River_Arno[\"Rainfall_Bibbiena\"]\n",
    "else: \n",
    "    River_Arno[\"Rain_TOT\"]= River_Arno[\"Rainfall\"] +River_Arno[\"Rainfall_X\"]+River_Arno[\"Rainfall_Bibbiena\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "BcgFDoR1YnjX"
   },
   "outputs": [],
   "source": [
    "#df= River_Arno ; \n",
    "storage=[6,7,8,9,10]\n",
    "River_Arno['month']= River_Arno.index.month\n",
    "River_Arno['year']= River_Arno.index.year\n",
    "River_Arno['week']= River_Arno.index.isocalendar().week"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ivbrn-luYnjX"
   },
   "source": [
    " Rainfall regrouping based on the relative month of storage. I had to make a guess at what point storing water begins and ends. Later we return to this issue..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "kbzTClGbYnjX"
   },
   "outputs": [],
   "source": [
    "#River_Arno.loc[River_Arno['month'].isin(storage), \"Rain_TOT\"] = River_Arno[\"RainNO_2\"] +River_Arno[\"Rainfall_X\"]+River_Arno[\"Rainfall_Bibbiena\"]+River_Arno.Rainfall_Laterina +River_Arno.Rainfall_Consuma +  River_Arno.Rainfall_Incisa\n",
    "#River_Arno.loc[ ~River_Arno['month'].isin(storage), \"Rain_TOT\"] = River_Arno[\"Rainfall\"] +River_Arno[\"Rainfall_X\"]+River_Arno[\"Rainfall_Bibbiena\"]+River_Arno.Rainfall_Laterina +River_Arno.Rainfall_Consuma +  River_Arno.Rainfall_Incisa "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "id": "_0oUpm6FYnjY"
   },
   "outputs": [],
   "source": [
    "River_Arno.loc[River_Arno['month'].isin(storage), \"Rainfall\"] = River_Arno[\"RainNO_2\"]  +River_Arno[\"RainNO_3\"] # summer\n",
    "River_Arno.loc[ ~River_Arno['month'].isin(storage), \"Rainfall\"] = River_Arno[\"RainNO_2\"]  # need some winter overflow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Nt2SECHU1xlC"
   },
   "source": [
    "We need still some volume to count for the winter overflow. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "Q3D9hWHh2L5U",
    "outputId": "c745e657-4c9a-48c6-8957-9e14d302b8bc"
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1158
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "River_Arno[\"winteroverflow\"] = River_Arno[\"RainNO_3\"] -(River_Arno[\"RainNO_3\"].mean()+ 2*River_Arno[\"RainNO_3\"].std());  \n",
    "fig, ax = plt.subplots(1,1, figsize=(20,4),); River_Arno[\"2005\":\"2019\"][\"winteroverflow\"].plot();  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wHcOxxTmYnjZ",
    "outputId": "8bd3b0ad-0c8b-45f4-91cc-fab915f26ada"
   },
   "outputs": [],
   "source": [
    "River_Arno.columns #month.isin(storage)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K-zHLlnUYnjZ"
   },
   "source": [
    "#### Some considerations\n",
    "- is the total rainfall (complete data period) in balance with the flow rates for N.d. Rosano?\n",
    "    - if that is reasonably the case, we need to find a methode to work with the reduced data of the last decade. \n",
    "    - Bibbiena run off time lag is about 2- 3 days, and we can simplify by adding to this value the available data from Stia and Camaldoli. \n",
    "    - The Vernio run off does not pass Nave di Rosano, so its data should not be used for its water level. But it could make the run off time at N. Rosano a bit longer. For now, I leave this data out as it distorts the events. \n",
    "- work out stats for evaluating the consistency, variation or trend in the period with a 'complete' rain data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-L_yxRAuzN3C"
   },
   "source": [
    "#### Rainfall in Stia vs Rainfall in Bibbiena"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "id": "7Dx_yWBpYnjb",
    "outputId": "05f02897-f8f5-4754-c152-12b67fc71604"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1173
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(20,4),);  sns.lineplot( x= River_Arno.index, y= River_Arno.Rainfall_Stia ,data= River_Arno); sns.lineplot( x= River_Arno.index, y= River_Arno.Rainfall_Bibbiena ,data= River_Arno); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "x_MPl5yKYnjb"
   },
   "source": [
    "### Yearly and monthly stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "thdKEQwhYnjc",
    "outputId": "1c9b0557-721d-4f86-804b-c5ff51f8d85f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 8217 entries, 1998-01-01 to 2020-06-30\n",
      "Data columns (total 26 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   Rainfall_Le_Croci          6026 non-null   float64\n",
      " 1   Rainfall_Cavallina         6026 non-null   float64\n",
      " 2   Rainfall_S_Agata           6026 non-null   float64\n",
      " 3   Rainfall_Mangona           6026 non-null   float64\n",
      " 4   Rainfall_S_Piero           6026 non-null   float64\n",
      " 5   Rainfall_Vernio            4283 non-null   float64\n",
      " 6   Rainfall_Stia              1283 non-null   float64\n",
      " 7   Rainfall_Consuma           1283 non-null   float64\n",
      " 8   Rainfall_Incisa            4568 non-null   float64\n",
      " 9   Rainfall_Montevarchi       1647 non-null   float64\n",
      " 10  Rainfall_S_Savino          1283 non-null   float64\n",
      " 11  Rainfall_Laterina          1283 non-null   float64\n",
      " 12  Rainfall_Bibbiena          1282 non-null   float64\n",
      " 13  Rainfall_Camaldoli         1283 non-null   float64\n",
      " 14  Temperature_Firenze        7281 non-null   float64\n",
      " 15  Hydrometry_Nave_di_Rosano  8217 non-null   float64\n",
      " 16  Tetens                     7281 non-null   float64\n",
      " 17  Rainf365                   6027 non-null   float64\n",
      " 18  RainNO_3                   6026 non-null   float64\n",
      " 19  RainNO_2                   6026 non-null   float64\n",
      " 20  Rainfall_X                 1282 non-null   float64\n",
      " 21  month                      8217 non-null   int64  \n",
      " 22  year                       8217 non-null   int64  \n",
      " 23  week                       8217 non-null   UInt32 \n",
      " 24  Rainfall                   6026 non-null   float64\n",
      " 25  winteroverflow             6026 non-null   float64\n",
      "dtypes: UInt32(1), float64(23), int64(2)\n",
      "memory usage: 1.9 MB\n"
     ]
    }
   ],
   "source": [
    "River_Arno.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "0ayG_8SoYnjc",
    "outputId": "a563c557-8e92-4fa5-97d5-685a7af04a0a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "1998-01-01    1.06\n",
       "1999-01-01    1.15\n",
       "2000-01-01    1.12\n",
       "2001-01-01    1.02\n",
       "2002-01-01    0.99\n",
       "2003-01-01    1.00\n",
       "2004-01-01    1.05\n",
       "2005-01-01    0.99\n",
       "2006-01-01    1.00\n",
       "2007-01-01    0.98\n",
       "2008-01-01    1.01\n",
       "2009-01-01    0.95\n",
       "2010-01-01    1.06\n",
       "2011-01-01    0.95\n",
       "2012-01-01    0.96\n",
       "2013-01-01    1.02\n",
       "2014-01-01    1.03\n",
       "2015-01-01    1.00\n",
       "2016-01-01    1.00\n",
       "2017-01-01    0.92\n",
       "2018-01-01    0.99\n",
       "2019-01-01    0.99\n",
       "2020-01-01    1.19\n",
       "Freq: AS-JAN, Name: Hydrometry_Nave_di_Rosano, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_min_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('MS').min() \n",
    "monthly_max_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('MS').max() \n",
    "#monthly_max_Rain = River_Arno.Rain_TOT.resample('MS').max() # > see next commented out lines for why it was used\n",
    "\n",
    "monthly_max_Rainfall = River_Arno.Rainfall.resample('MS').max()\n",
    "yearly_min_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('YS').min() \n",
    "yearly_mean_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('YS').mean() \n",
    "yearly_min_Hydro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "id": "cp8RHR-lYnjc",
    "outputId": "1324b1f3-9af4-4832-ad8d-db89500582d8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 323,
       "width": 1161
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(20,5),); sns.lineplot( data=monthly_min_Hydro ); sns.lineplot( data=monthly_max_Hydro ); "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "xcZyXRJ1Ynjc",
    "outputId": "13aeed8c-0833-4ca0-e1a3-93c69317b940"
   },
   "source": [
    "monthly_min_Hydro.name"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6l-y79bmYnjd"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NV4OzYWhYnjc"
   },
   "source": [
    "### Autocorrelation \n",
    "I'll try to visualise here patterns over time, and also try to get a view on the length of the runoff flow periods.  \n",
    "\n",
    "Perhaps there is some periodicity in the hydrometer data detectable?  \n",
    "The transport and sedimentation of mud makes the riverway wider and smaller. Maybe I can use this knowledge to anticipate the change in  hydrometer values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "QR3BQcnEYnjd"
   },
   "outputs": [],
   "source": [
    "monthly_max_Hydro= monthly_max_Hydro.to_frame() # MAX for water transport"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "id": "jjuxy4RPYnjd",
    "outputId": "98ed2fb9-57fb-486f-ba5f-dac6983ec4b1"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 483,
       "width": 1040
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#import pmdarima as pm\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "import statsmodels.api as sm\n",
    "import warnings\n",
    "from math import sqrt\n",
    "\n",
    "import datetime\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "fig, axes = plt.subplots(3, 2, figsize=(18,8),sharex=True)\n",
    "\n",
    "axes[0, 0].plot(monthly_max_Hydro.Hydrometry_Nave_di_Rosano); # .to_frame()\n",
    "axes[0, 0].set_title('Original Series')\n",
    "plot_acf(monthly_max_Hydro.squeeze(), ax=axes[0, 1],use_vlines=True) # \n",
    "\n",
    "# 1st Differencing\n",
    "axes[1, 0].plot(monthly_max_Hydro.Hydrometry_Nave_di_Rosano.diff(12)); #\n",
    "axes[1, 0].set_title('1st Order Differencing')\n",
    "plot_acf(monthly_max_Hydro.diff(1).dropna(), ax=axes[1, 1],use_vlines=True)\n",
    "\n",
    "# 2nd Differencing\n",
    "axes[2, 0].plot(monthly_max_Hydro.Hydrometry_Nave_di_Rosano.diff(12).diff(12)); #\n",
    "axes[2, 0].set_title('2nd Order Differencing')\n",
    "plot_acf(monthly_max_Hydro.diff(1).diff(1).dropna(), ax=axes[2, 1],use_vlines=True)\n",
    "plt.xlim( datetime.date(2002,1,1),datetime.date(2019,1,1))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "id": "-egTyB2oYnjd",
    "outputId": "016e49e9-1457-4608-be1e-363a4248c732"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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G9enTR4888oiOPPLIqI0RAATCzDqAbslVAvOLX/zC757jrf3oRz9yh17Xnut///vfddttt8lisai8vFylpaU655xztGLFCuXm5vq9zjXXXKMLL7xQ6enp2rFjh4qKitznpk6dquXLl+vnP/+5kpKS9PXXX8tsNmvixIl6/vnndccdd/hc74QTTtAbb7yhK6+8UgMGDFBRUZHq6up05pln6plnntENN9zg1T4vL08rV67UFVdcoYEDB+rbb79VdXW1Tj31VM2fP1/PP/+8evfuHd4ghik9PV3PPfec5s2bp7y8PFVUVKioqEi9e/fWpEmT9Oqrr4Z1wzRq1Ci99tprOu+889SvXz8VFxe7P+W499579cILL2jkyJGSpA8++MD9urFjx+oPf/iDjjzySO3du1dffvll0C0U09LS9M9//lPz5s1Tbm6uysvLtX37dh199NGaOXOm3nzzTZ1xxhmRDwwAhMFksI8UAAAAEJeYWQcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU4R1AAAAIE4R1gEAAIA4RVgHAAAA4hRhHQAAAIhThHUAAAAgThHWAQAAgDiV2NEdiAdOpyG73RGz90tObh52m80es/fsyhjP6GI8o4vxjC7GM7oYz+hiPKOrq41nYmKCzGZT21/XDn3pdOx2h2pqGmL2fllZvSQppu/ZlTGe0cV4RhfjGV2MZ3QxntHFeEZXVxvPjIwe7huQtqAMBgAAAIhThHUAAAAgThHWAQAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU+0S1lesWKHs7Gx9/vnnbXpdaWmp/vznP+unP/2pcnJyNHHiRD3xxBOy2Wzt0U0AAAAgrrX9machFBQU6J577mnz6/bt26dLLrlE+/bt0wknnKATTzxRmzZt0sKFC/W///1P//znP5WUlBTt7sZcRY1VGwrLVNfQJMPh1OgR/ZXZO7WjuwUAAIA4FNWw/s477+j2229XfX19m1/7l7/8Rfv27dPvfvc7XX/99ZKk+vp63XDDDVq/fr1efPFFXXXVVdHsbkzV1DZqyXtF2lRUJsNoOb5sdZFyLVmaeq5FGekpHddBAAAAxJ2olMHs27dPt912m2bPni2n06n+/fu36fU7duzQhx9+qEGDBum6665zH09LS9O9996rhIQELVmyJBpd7RA1tY2avyRf+YXeQV2SDEPKLyzT/CX5qqmj3AcAAAAtohLWH3nkEb3xxhs66aSTtHz5cg0dOrRNr//kk09kGIYmTJggs9m7S0cddZROOOEE7d27V8XFxdHobswtea9IZdXWoG3Kqq1a8m5hjHoEAACAziAqYX3o0KFasGCBXnnlFWVnZ7f59a4QPmLEiIDXl6SioqLD72QHqaixalNRWVhtNxWVqfJA8FAPAACA7iMqNevXXHNNRK/fv3+/JGnAgAF+z2dlZUmSysvLI3qfQJKTE5WV1atdrr3BT+lLIIYhFf9wUD8fltUufenq2uu/YXfFeEYX4xldjGd0MZ7RxXhGV3cfz7jYZ72hoUGSlJrqf1cU1/HDWbja0eoamtrUvraN7QEAANB1RX3rxsORkJAgSTKZTEHbOZ3Odnl/m82umpqGdrm24Whbnw2HU2VlB9ulL12V646bcYsOxjO6GM/oYjyji/GMLsYzurraeGZk9FByctujd1zMrPfo0UOSZLX6r9d2HU9LS4tZn6Jl1PD+CnEP4mYySaNHtG0nHQAAAHRdcRHWXbXqgWrSy8rKvNp1Jv0yUpVrCa8GPdeSxQOSAAAA4BYXYd21C0ygrRm3b98uSbJYLDHrUzRNPdeirD7BQ3hWn1RNPa/tO+kAAACg64qLsD5u3DhJ0gcffOBTl/7999/r66+/1tFHH63hw4d3RPcilpGeojum5ikvO8unJMZkkvKys3THtFOU0TO5YzoIAACAuBTzsP79999r+/btqqysdB879thjNW7cOO3YsUOPPvqo+3h9fb3uuusuORwOzZgxI9ZdjaqM9BTdcOFIPThrrNfxB2eN1Q0XjiSoAwAAwEfMw/qcOXN0wQUXaOnSpV7H586dq6ysLC1atEiTJk3S7Nmzdd5552ndunU666yzdNlll8W6q+2idU06NeoAAAAIJC7KYKTm2fVXXnlFkydPVmVlpT788ENlZGTolltu0eOPP67ExLjYZRIAAACImXZJwC+++OJhnRs4cKDuu+++9ugSAAAA0OnEzcw6AAAAAG+EdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU4R1AAAAIE4R1gEAAIA4RVgHAAAA4hRhHQAAAIhThHUAAAAgThHWAQAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU4R1AAAAIE4R1gEAAIA4RVgHAAAA4hRhHQAAAIhThHUAAAAgThHWAQAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOJUYkd3AL4qaqzaXFyuemuT0lKTNHpEf2X2Tu3obgEAACDGCOtxpKa2UUveK9KmojIZRsvxZauLlGvJ0tRzLcpIT+m4DgIAACCmKIOJEzW1jZq/JF/5hd5BXZIMQ8ovLNP8JfmqqbN1TAcBAAAQc4T1OLHkvSKVVVuDtimrtmrJu4Ux6hEAAAA6GmE9DlTUWLWpqCystpuKylR5IHioBwAAQNdAWI8Dm4vLfUpfAjEMqeDb8vbtEAAAAOICYT0O1Fub2rU9AAAAOifCehxIS01q1/YAAADonAjrcWDU8P4ymcJrazJJo0f0b98OAQAAIC4Q1uNAv4xU5Vqywmqba8niAUkAAADdBGE9Tkw916KsPsFDeFafVE09LztGPQIAAEBHI6zHiYz0FN0xNU952Vk+JTEmk5SXnaU7pp2ijJ7JHdNBAAAAxFxiR3cALTLSU3TDhSNVecCqW59c7z7+4KyxlL4AAAB0Q8ysx6HWwZygDgAA0D0R1gEAAIA4RVgHAAAA4hRhHQAAAIhThHUAAAAgThHWAQAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU4R1AAAAIE4R1gEAAIA4lRitC61fv16LFi1SYWGhmpqadOKJJ2rmzJk666yzwr7G5s2b9dRTT6mgoED19fU68sgj9ZOf/EQ33HCDMjIyotVVAAAAoFOIysz6ihUrNGPGDBUUFCgnJ0ejR49WQUGBZs6cqeXLl4d1jdWrV2vKlCn68MMPNXjwYJ111llqbGzUCy+8oIsuukiVlZXR6CoAAADQaUQ8s15aWqq5c+eqV69eWrZsmSwWiyRpy5YtmjFjhu69916NHz9eRxxxRMBr2O12zZ07V06nU4899pjOO+88SVJjY6N+97vf6YMPPtATTzyhu+++O9LuAgAAAJ1GxDPrS5culc1m0/Tp091BXZJycnI0c+ZMNTY2hpxdLywsVHl5uY477jh3UJeklJQUXX/99ZKkzz77LNKuAgAAAJ1KxGF97dq1kqRzzjnH55zr2Mcffxy8E+bmblRUVMhut3udq6qqkiRq1gEAANDtRBTWDcNQcXGxzGazhg4d6nN+8ODBMpvNKi4ulmEYAa8zfPhwDRw4UKWlpbrtttu0a9cuNTQ06NNPP9Vf//pXmc1mzZgxI5KuAgAAAJ1ORDXrNTU1stlsyszMVHJysu/FExPVt29fVVRUqK6uTunp6X6vk5SUpIULF+rGG2/UqlWrtGrVKve5AQMGaPHixTrzzDMj6WpQycmJysrq1W7XDyac9+2ovnU2jFN0MZ7RxXhGF+MZXYxndDGe0dXdxzOimfWGhgZJUo8ePQK2SU1NlSTV1dUFvdagQYM0adIkJSQkKCcnRxMmTFBWVpb279+vxYsXq7q6OpKuAgAAAJ1ORDPrrlrzcAQrg6mqqtLll1+u0tJSPffccxozZowkyWazad68eXrllVd04403asmSJZF0NyCbza6amoZ2uXYoZWUHo9KmO3PdcTNO0cF4RhfjGV2MZ3QxntHFeEZXVxvPjIweSk5ue/SOaGY9LS1NUvMWi4FYrVavtv48++yz2rFjh66//np3UJek5ORkzZ07V0OGDNFnn32mzz//PJLuAgAAAJ1KRGE9PT1daWlpqqqq8tnFRWreP72qqkopKSnq3bt3wOts3LhRkvzWpSclJWns2LGSpK+++iqS7gIAAACdSkRh3WQyafjw4XI4HNq5c6fP+ZKSEjmdTq/91/05cOCAJCkhIcHvedfxpqamSLoLAAAAdCoR77M+btw4SdLq1at9zrmOnX322UGv4dr28aOPPvI553A49L///U+SdNxxx0XUVwAAAKAziTisT548WSkpKXrmmWe0bds29/GtW7dq8eLFSk1N1eWXX+4+vmvXLm3fvl0HD7YsFrjkkkskSYsWLVJ+fr77uN1u1wMPPKCioiKNGDFCp59+eqTdBQAAADqNiHaDkaRjjjlGc+bM0bx583TppZe6F4hu2LBBdrtdCxYsUL9+/dztp0+frr179+q+++7T5MmTJTXPvF9zzTV6+umnNWXKFI0aNUqZmZn6+uuv9f3336t///565JFHApbJAAAAAF1RxGFdkqZMmaKjjjpKixcv1qZNm5ScnKzc3FzNmjVLZ5xxRljXuOWWW5Sbm6sXX3xRW7du1bZt2zRgwABNnTpV1157rQYMGBCNrgIAAACdRlTCuiRNmDBBEyZMCNnu/fffj/gaAAAAQHcQtbCO2KmosWpzcbnqrU1KS03S6BH9ldk7taO7BQAAgCgjrHciNbWNWvJekTYVlcnzgbDLVhcp15KlqedalJGe0nEdBAAAQFRFvBsMYqOmtlHzl+Qrv9A7qEuSYUj5hWWavyRfNXW2jukgAAAAoo6w3kksea9IZdXWoG3Kqq1a8m5hjHoEAACA9kZY7wQqaqzaVFQWVttNRWWqPBA81AMAAKBzIKx3ApuLy31KXwIxDKng2/L27RAAAABigrDeCdRbm9q1PQAAAOITYb0TSEtNatf2AAAAiE+E9U5g1PD+MpnCa2sySaNH9G/fDgEAACAmCOudQL+MVOVassJqm2vJ4gFJAAAAXQRhvZOYeq5FWX2Ch/CsPqmael52jHoEAACA9kZY7yQy0lN0x9Q85WVn+ZTEmExSXnaW7ph2ijJ6JndMBwEAABB1iR3dAYQvIz1FN1w4UpUHrLr1yfXu4w/OGkvpCwAAQBfEzHon1DqYE9QBAAC6JsI6AAAAEKcI6wAAAECcIqwDAAAAcYqwDgAAAMQpwjoAAAAQpwjrAAAAQJwirAMAAABxirAOAAAAxCnCOgAAABCnCOsAAABAnCKsAwAAAHGKsA4AAADEKcI6AAAAEKcSO7oDaB8VNVZtLi5XvbVJaalJGj2ivzJ7p3Z0twAAANAGhPUupqa2UUveK9KmojIZRsvxZauLlGvJ0tRzLcpIT+m4DgIAACBslMF0ITW1jZq/JF/5hd5BXZIMQ8ovLNP8JfmqqbN1TAcBAADQJoT1LmTJe0Uqq7YGbVNWbdWSdwtj1CMAAABEgrDeRVTUWLWpqCystpuKylR5IHioBwAAQMcjrHcRm4vLfUpfAjEMqeDb8vbtEAAAACJGWO8i6q1N7doeAAAAsUdY7yLSUpPatT0AAABij7DeRYwa3l8mU3htTSZp9Ij+7dshAAAARIyw3kX0y0hVriUrrLa5liwekAQAANAJENa7kKnnWpTVJ3gIz+qTqqnnZceoRwAAAIgEYb0LyUhP0R1T85SXneVTEmMySXnZWbpj2inK6JncMR0EAABAmyR2dAcQXRnpKbrhwpGqPGDVrU+udx9/cNZYSl8AAAA6GWbWu6jWwZygDgAA0PkQ1gEAAIA4RVgHAAAA4hRhHQAAAIhThHUAAAAgThHWAQAAgDjF1o3dVEWNVZuLy1VvbVJaapJGj+jPjjEAAABxhrDezdTUNmrJe0XaVFQmw2g5vmx1kXItWZp6rkUZ6Skd10EAAAC4UQbTjdTUNmr+knzlF3oHdUkyDCm/sEzzl+Srps7WMR0EAACAF8J6N7LkvSKVVVuDtimrtmrJu4Ux6hEAAACCIax3ExU1Vm0qKgur7aaiMlUeCB7qAQAA0P4I693E5uJyn9KXQAxDKvi2vH07BAAAgJAI691EvbWpXdsDAAAg+gjr3URaalK7tgcAAED0Eda7iVHD+8tkCq+tySSNHtG/fTsEAACAkKIW1tevX68rrrhCY8aMUW5urqZNm6aPP/64Tdeoq6vTwoULdf7552vkyJE67bTTdN1112nr1q3R6ma31S8jVbmWrLDa5lqyeEASAABAHIhKWF+xYoVmzJihgoIC5eTkaPTo0SooKNDMmTO1fPnysK5RXV2tyy67TE888YTq6up09tln68gjj9QHH3ygyy+/XFu2bIlGV7u1qedalNUneAjP6pOqqedlx6hHAAAACCbiJ5iWlpZq7ty56tWrl5YtWyaLxSJJ2rJli2bMmKF7771X48eP1xFHHBH0Ovfdd58KCwv185//XPfff7+Sk5MlSc8++6weeOAB3XXXXXrzzTcj7W63lpGeojum5vl9gqnJ1DyjPvW8bGX0TFZFjVWbi8tVb21SWmqSRo/oz2w7AABAjEUc1pcuXSqbzaZrr73WHdQlKScnRzNnztTDDz+s5cuXa/bs2QGv8f333+uNN97Qscce6xXUJenqq6/WqlWrdPDgQVVWViozMzPSLndrGekpuuHCkao8YNWtT653H39w1lhl9k5VTW2jnnhtq0+YX7a6qDnMn2tRRnpKB/QcAACg+4m4DGbt2rWSpHPOOcfnnOtYqNr1d999V4ZhaMqUKV5B3WXFihV67733COpR1HqW3BXU5y/JV35hmc+e7IYh5ReWaf6SfNXU2WLYUwAAgO4ropl1wzBUXFwss9msoUOH+pwfPHiwzGaziouLZRiGTAG2I/nqq68kSSNHjlRdXZ3eeustbdu2TYmJiTrjjDP005/+NOBrET1L3itSWXXwJ5eWVVu15N1C3XDhyBj1CgAAoPuKKKzX1NTIZrMpMzPT74x4YmKi+vbtq4qKCtXV1Sk9Pd3vdXbt2iWpeZHppEmTtHfvXve5JUuW6IwzztDjjz8e8PWRSk5OVFZWr3a5dijhvG+oNtG4hpGYoE1FZSGvI6m5XWKisvr2CKt9rHTUf8OuivGMLsYzuhjP6GI8o4vxjK7uPp4RlcE0NDRIknr0CBzaUlObyy3q6uoCtjl48KAk6fbbb1efPn300ksvKT8/X8uWLVN2drY+/fRTzZ07N5KuIoSNX+7zKX0JxDCkjV/+0L4dAgAAQGQz62Zz+FnfCJIEbbbmGuikpCQ9//zz6t27tyQpLy9Pzz77rCZOnKhVq1bpxhtv1JAhQyLpcoD3t6umpiHq1w1HWdnBiNtE4xr7y2tDXsNTaXltWO8bC6477njpT2fHeEYX4xldjGd0MZ7RxXhGV1cbz4yMHkpObnv0jmhmPS0tTZLU2NgYsI3VavVq649r9v0Xv/iFO6i7ZGVl6Sc/+YkMw9DGjRsj6S6CSEtNatf2AAAAaLuIwnp6errS0tJUVVUlu93uc95ut6uqqkopKSk+IdyTa5eXo48+2u951/GqqqpIuosgRg3vr3DX8JpM0ugR/du3QwAAAIgsrJtMJg0fPlwOh0M7d+70OV9SUiKn0+m1/7o/rvP79+/3e76srHnhY79+/SLpLoLol5GqXEtWWG1zLVnK7J2qihqr1uTv0cp1JVqTv0eVB4LvJAMAAIC2iXif9XHjxkmSVq9e7XPOdezss88Oeo2zzjrL3b71DL3NZtOGDRskNdewo/1MPdeirD7Bn1Ka1SdVvzxziJ54batuW7ReS98r0mtrS7T0vSL98an1euK1raqpDVwWBQAAgPBFHNYnT56slJQUPfPMM9q2bZv7+NatW7V48WKlpqbq8ssvdx/ftWuXtm/f7t4BRpLGjh2r4447Tjt37tT8+fPlcDgkSU6nUw888ID27NmjM8880+9e7oiejPQU3TE1T3nZWT4lMSaTlJedpRsn5+jxFVt4cBIAAEAMRLQbjCQdc8wxmjNnjubNm6dLL71UY8aMkSRt2LBBdrtdCxYs8CpfmT59uvbu3av77rtPkydPliQlJCTo73//u6688kotXbpUH374oY4//ngVFRVp165dGjhwoObNmxdpVxGGjPQU3XDhSFUesOrWJ9e7jz84a6wye6fqide28uAkAACAGIl4Zl2SpkyZokWLFunkk0/Wpk2btG3bNuXm5uq5557Tr371q7CuMWzYML3++uuaNm2aJOmjjz6S3W7XlClT9Morr+iYY46JRlcRpszeqT5fV9RY2/TgJGrYAQAAIhPxzLrLhAkTNGHChJDt3n///YDn+vfvr7vuukt33XVXtLqFKNpcXN6mBycVfFuun+ZxkwUAAHC4ojKzju6h3trUru0BAADgLWoz6+j62vogJMOQ1uTvUb21SWmpSRo9or9PeQ0AAAACI6wjbKOG99ey1UVhl8K8sa7Eq+2y1UXKtWRp6rkWZaSntE8nAQAAuhDKYBC2tjw4SRJbOwIAAESIsI42CefBSaG4tnYEAABAcIR1tEmwBye1BVs7AgAAhEZYR5u5Hpz04KyxXsd/PW5I2Ndwbe0IAACAwFhgisPWemeXtk6011ubVFFj1ebicnaMAQAA8IOwjqhp69aOnxeW6fVP2DEGAAAgEMI6oqatWzvu3l/rc8y1Y8yu0oO6Y9opstudzLwDAIBui7COqHFt7ZhfWBbxtcqqrfrrcxtVU2dj5h0AAHRbhHVE1dRzLdpVelBl1ZHv9FJd67sXu7+Z9w2FZapraJLhcDLzDgAAuhTCOqLKtbXjkveKtKmozGtW3GSSjslK91v+0lbMvAMAgO6AsI6oc23tWHnAqlufXO8+/uCssVq39YeohHUpvJn3jJ7J7DgDAAA6LcI62k3rQJzZO7XNO8YcrrJqq55762slJZp9ZviZfQcAAJ0FD0VCTI0a3j+iJ5+2xZbtFcovLPPZncY1+z5/Sb5q6nxn5wEAAOIFYR0x5doxJh6UVVu15N1CVdRYtSZ/j1auK9Ga/D2qPBD54lgAAIBooAwGMRfNHWMilV9YRpkMAACIW8ysI+ZcO8bkZWf5lMSYTFKf9OSY9idUmQwz7wAAoKMws44OEWzHmASzSfOX5Hf4zDvbQwIAgI7GzDo6lL8dY+Jp5r261sYCVQAA0GEI64hLrpn3B2eN9Tr+4Kyxmjv9VGX16fh90l0LVAEAANoLYR1x7XBm3vOys5QzrF9M+repqIwadgAA0G6oWUenFKzmPbN3qmpqG2NS924YUsG35Ro1vD9PSQUAAFFHWEen5m/mXWrZcWbJe0U+WzNG2web9mjZ6iIWoQIAgKijDAZdVqC694euH6u87Og9mOn7inoWoQIAgHZBWEeX52/2feq5lpgsUmURKgAAiARlMOiWgpXJmExSRs9kVddGZ0Z8U1GZtu+t0c59B6lpBwAAbUJYR7cVqwczGYZ074v5XseoaQcAAOGgDAbd3uFsD3lU/7SI3pOadgAAEA7COhBAsAczTRh9TFTew7OmvaLGqjX5e7RyXYnW5O9h/3YAAEAZDBCKv5n3UcP7+2zXeLjyC8v08Mubta2kku0fAQCAF2bWgcPQLyNVuZbobf+4dUcl2z8CAAAfhHXgMLH9IwAAaG+EdeAwBVuEGm2bisqoYQcAoBsirAMRCLQI9c5peVEN8IYhFXxbHr0LAgCAToEFpkAUtF6EOuzoDOVaspRfWBa19yivbtCa/D08WAkAgG6EsA60k6nnWrSr9GBUHqwkSe98ttvra3aLAQCg66MMBmgnoR6sNHJoZkSlMuwWAwBA10dYB9pRsAcr3XzxqKhs/8huMQAAdF2EdSAG/D1YSYre9o/sFgMAQNdEzTrQgVylMkveK9KmorLDfiKqYUifbPlBPXsksQAVAIAuhLAOdDBXqUzlAatufXK9+/jPTjtWb2/cHeSV3l7/pMTraxagAgDQ+VEGA8SJ1rPg/TJ6RHQ9FqACAND5EdaBODVqeP+oPFiJBagAAHRelMEAcapfRmrUHqzkWoBqGNLm4nLq2gEA6CQI60Aci9aDlQxDevTVLdpTVuu1iLV1XXtFjVUbCstU19Akw+EkzAMA0MEI60Aci9ZuMZK0e3+tzzFXXfvOHw7o6Kx0bd1RETTMS1JFjZXZeQAAYoSwDsS5QLvF/HrcEL2+tiTIK8NXcaBRFQcafY67wvyu0oO6cXKO3lxX4nPTwK4zAAC0HxaYAp1E69nrM08aGJUFqOEoq7bq3hc/V36h7+w+u84AANB+COtAJ+VagBortiZn0POuXWcqaqxak79HK9eVaE3+Hp6sCgBABCiDATqxaC1AjZb8wjLKZAAAiCJm1oFOzLUANS87y6ckxmSSjh2QHvM+hSqTYeYdAIDwMbMOdHKBFqA+OGusDEO6bdH6iHaRiZayaqv++txG1dTZmHkHACBMUZtZX79+va644gqNGTNGubm5mjZtmj7++OOIrvnb3/5W2dnZ2rBhQ5R6CXRdrRegZvZOjXldeyjVtTYWqAIA0AZRCesrVqzQjBkzVFBQoJycHI0ePVoFBQWaOXOmli9ffljXXLZsmdauXRuN7gHd2tRzLcrqE//7oLsWqEqiVAYAgEMiLoMpLS3V3Llz1atXLy1btkwWi0WStGXLFs2YMUP33nuvxo8fryOOOCLsa3733Xd68MEHI+0aAAV/sJLJJI0c2k97y+pUESQQJyeZQ+4GEw35hWV6+OXN2lZSSakMAACKwsz60qVLZbPZNH36dHdQl6ScnBzNnDlTjY2NbZpddzgcmjNnjpKSkryuB+DwueraH5w11uv4g7PG6vcXnay7rgi8SDUvO0t3TjslZrPzW3dUUioDAMAhEYd1V6nKOeec43POdawtteuLFy9WQUGB7r77bvXr1y/S7gHw4K+uXQoe5m+4cKSOHZAecNeZWGIvdwBAdxNRGYxhGCouLpbZbNbQoUN9zg8ePFhms1nFxcUyDEOmEH/Lf/PNN3rsscc0ceJETZo0Sf/v//2/SLoHoI0ChXkp8K4zD10/Vv9e863yC8ti0sdw93KvqLFqc3G56q1NSktN0ugR/X2+PwAA4l1EYb2mpkY2m02ZmZlKTk72vXhiovr27auKigrV1dUpPT3wns82m01//OMf1bt3b/3lL3+JpFsA2pG/QB/rhzMFKpPZVXpQN07O0ZvrSkIGesI8AKAziCisNzQ0SJJ69OgRsE1qavNffqHC+qOPPqqioiI98cQTyszMjKRbbZacnKisrF4xfU+XcN43VJtYXIN+xvY9onGNWPYzK6uX/va7s7XotS36dOsPPotY+/ZOVWVN+wf5smqr5i/JV6PN4XPOHej312rwkb31+TelPmH+jJEDdd2FOerbDqG9o/4/pqtiPKOL8YwuxjO6uvt4RhTWzebwS96NIE9lyc/P1z//+U/98pe/9Fv7DiD+9e2dqtuvPE1lVQ266v/edR9/9s7zlJhg0m2Pr9W+ivp274e/oO6prKpBZVUNPscNQ1q/5Qft2FujB24apya7Uxu/3Ke6hib17JGkMScOVFbfwBMTAAC0h4jCelpamiSpsbExYBur1erVtrX6+nr96U9/UlZWlu6+++5IunPYbDa7amp8//KOhbKygxG3icU16Gds3yMa14iXfspul90uzblsdMDtI08akumzXWNH2VdRr9kPfeDzpNWnX996WNtHumaEwhlLhMZ4RhfjGV2MZ3R1tfHMyOih5OS2R++Iwnp6errS0tJUVVUlu92uxETvy9ntdlVVVSklJUW9e/f2e41///vf2rVrl7KzszVv3jyvc8XFxZKkRYsW6ZVXXtGll16qU045JZIuA+gggRaoPjhrrDJ7p+qJ17bGbJFqKNW1vttDetbF3zHtFGX0TKbuHQDQ7iIK6yaTScOHD9eWLVu0c+dODR8+3Ot8SUmJnE5n0P3S6+ubPxYvLCxUYWGh3zbr1zf/xT527FjCOtDJBdpxJtaLVA9XWbVVz731tZISzWHtSgMAQCQi3md93LhxkqTVq1f7nHMdO/vsswO+/qabbnIH9db/nHHGGZKkf/3rXyosLNTkyZMj7S6AOOV60mpH7+Ueji3bK5RfWMbDmwAA7S7isD558mSlpKTomWee0bZt29zHt27dqsWLFys1NVWXX365+/iuXbu0fft2HTzYNeqPAERPoIczPXT9WOVlZ3VQr9rO8+FN//lkh5a/V8jDmwAAhyWiMhhJOuaYYzRnzhzNmzdPl156qcaMGSNJ2rBhg+x2uxYsWOD1JNLp06dr7969uu+++5gpB+DX4e7lnpxklq3J2d7dC0u4D28CACCYiGfWJWnKlClatGiRTj75ZG3atEnbtm1Tbm6unnvuOf3qV7+KxlsA6OaClcmYTFJedpbunHaKsvrEzwJPymQAAJGKeGbdZcKECZowYULIdu+//37Y13z++ecj6BGAribUjjKSdMfUvIBbRI4c2k97y+pU0cHlKK4ymRsuHMmOMgCAoKIW1gEgVgLtKCOFDvQ1tY0Bw3xGz2S/2za2h/zCMj388maf/eUplQEAeCKsA+iSAgX6YGE+wWzS/CX5Mds+cuuOSp9jrfdzt9ud7T7zzuw+AMQvwjqAbilQmA9WRpNryVKT3akt2yvavX9l1Vb99bmNPk9SjebMe6BPGZjdB4D4QVgHAA/hlNHEavY93CephuJv5jzYpwg8rRUA4gdhHQD8CFZGE2j2PZZci1Qv/cmIgCE62Mx5OPX5PK0VADoeYR0A2ijQ7PtD14/Vv9d8q/zCspj0I9he7r8cO1iPv7Y14Mx5uAtpA5X8HM4MPwCg7aKyzzoAdEeBHt4Uy73eA+3lfm+MSnVcM/wAgPZBWAeAKAr18KaRQzN9jreHWD7JdVNRmSo7eO96AOiqCOsAEGWuMpkHZ431Ov7grLG6+eJRyrVkdVDP2odhSAXflnd0NwCgSyKsA0A7CbRINdalMrFQb23q6C4AQJdEWAeAGAtVKtMnvfMt1jQMaU3+Hq1cV6I1+XsoiwGAKGE3GADoAPH0JNVoeGNdCVs7AkA7YGYdADqQv1KZYDPv0dYnPdnv7H5edpZyhvUL+zqBdqWZvyRfNXXhbRMJAPBFWAeAOBRokepD149VXnZ4C1STk4L/X3xWn1TNnXGa34WwN1w4UjPOPy7i2nq2dgSAyBDWASCOHe5e7ll9UnXntFMC1sXnZWe5H2YU6mmtkc7ws7UjABw+wjoAdDKhFqi6gvixA9IDbiF5w4Ujw3rqaKAZ/l+PGxJ2f9naEQAOHwtMAaATCrZANdBMeaCvw9H6NW2daGdrRwA4PMysA0AnFo0gfjjSUpPatT0AoBlhHQDQZqOG9w+7jt1kkkaP6N++HQKALooyGABAm/XLSFWuJUv5hWUh2+ZastwPTaq3NiktNUmjR/SP2acAANCZEdYBAIdl6rkW7So9GPThTf16p6jJ7tRti9bz0CQAOAyUwQAADkuoXWmaH6pk0pbtFTw0CQAOE2EdAHDYAm3t+OCssUpKNKsixP7qPDQJAIIjrAMAIta6/twwmh+GFA4emgQAgVGzDgCIus3F5T6lL4G4Hpo0anh/bS4uZxEqAHggrAMAoq6tD0H6YNMeLVtdxCJUAGiFsA4AiLq2PgTp+4p6n2OuRai7Sg/qjmmnyG53akNhmeoammQ4nMy8A+gWCOsAgKgbNby/z0z54Sqrtuqvz21UTZ0t5Mx7RY01aClNqPPhiMV7AIALYR0AEHVteWhSOKprfbd39Jx5v3Fyjt5cV6JNRWV+A/0vxw7Wm+t3BjzvCvzBgnZNbaOWvFcU8XtIBHoA4SOsAwDaRTgPTYqGsmqr7n3xc9manD7nXIG+4NtyOZ2+0/yu8zt/OKCjs9K1dUdFwCD++Gtb/X4v4b5HODcV1OcDaI2wDgBoF66HJvmbjTaZpIH90vR9uW+t+uHwF9Q9+QvRnioONKriQKPPcVfQ3rqjIuL3COemwlWfn9EzOei1AHQf7LMOAGg3wR6aNGH0MR3Uq7YLFdSjdR3XQ6Iqaqxak79HK9eVaE3+HvahB7oxZtYBAO2udT12Zu/UqC5C7UryC8sokwHgxsw6AKBDuBahwlfrGxhXmcz8JfmqqfNdbAug6yKsAwA6zNRzLcrqwy4o4aJMBuh+KIMBAHSYUItQM3om+922sTujTAboXgjrAIAO5VqEWnnAqlufXO8+/uCssUowmzR/SX7Q7R+Tk8xRWwDaWQQqk/HcTYa93IGugbAOAIgL/hahSgo6855rydIvzxyix1dsCRrozWZTyK0VQwl1UxDqPWJxU1FWbdVzb32tpEQzs+9AF0HNOgAgrgXb/vGGC0fq2AHpumNqnvKys2Qyeb/WZJLysrM0d/qpAc/nDOunfiFmnLP6pOrOaacc9nvkZWfpzmmnxKQ+f8v2CuUXlrFIFegimFkHAHQKgWbepeClNK52wc7X1DYGnb2fel62MnomR/QeUuBPCWLJtUj10p+M0IbCMtU1NMlwOCmTAeIUYR0A0GUEC/TBvg4n7Ef6HsHe56Hrx+rfa75VfmFZ0O8vWsJdpBqq7p26eKD9EdYBADgkVPBuz/eZeq5Fu0oPBq29j6Zgi1RvnJyjN9eVBAz0vxw7WG+u3xky8BPmgcgR1gEAiAPBtrGMpbJqq+598XO/i2Fdgb7g23K/i2ld53f+cEBHZ6Vr644KFrkCEWKBKQAAcSLQYtqHrh+rvOzYPe011K41oXbWqTjQqC3bK1jkCkQBYR0AgDgTqEymqzzt1bXIVRJPYwVCoAwGAIBOINTTXnMtWWqyO7Vle0XHdbIN8gvL9PDLm7WtpJJSGSAIwjoAAJ1EqF1ramobQz7xNZ5s3VHpc6z101jtdieLVNGtEdYBAOhkgm1BGQ+LVKOhrNqqvz63UTV1toi3mAQ6M8I6AABdSLzs5R4N1bW+i1DbssUkpTToCgjrAAB0QYe7l3tykjnkbjDxIJwtJimlQVdAWAcAoJsIZ5HqL88cosdXbAka6M1mU8jtG2Mh1E1FW0ppgHjF1o0AAHQjgfZyf3DWWN1w4UgdOyBdd0zNU152lkwm79eaTFJedpbmTj814PmcYf3UL45mratrbez3jk6NmXUAALqhQItUpdC7zkgKuStNoNn7k4Zk+mzX2FFc+73fcOHIju4KEBBhHQAA+BUs0Af7OlTYf+K1rXGz0HVTUZm2763Rzn0HqWlHXCKsAwCAdhEozIez0DVWDEO698V8r2PUtCOeRK1mff369briiis0ZswY5ebmatq0afr444/bdI2PPvpIV199tU477TSddNJJmjBhgv785z9r37590eomAADoYK6FroHq3vukJ3dMxw6hph3xJCphfcWKFZoxY4YKCgqUk5Oj0aNHq6CgQDNnztTy5cvDusbTTz+ta665RuvXr9eQIUN01llnSZKWL1+uCy+8UNu3b49GVwEAQBwIttB17vRTldUneBlKclL775HhqmmXmh+8tCZ/j1auK9Ga/D2qPNDxnwqge4i4DKa0tFRz585Vr169tGzZMlksFknSli1bNGPGDN17770aP368jjjiiIDXKC4u1sMPP6y0tDT985//1OjRoyVJTU1Nmj9/vpYtW6Y77rgj7OAPAAA6h0ClMtHYYjIa8gvL9PDLm30WxVIqg1iJ+LZ06dKlstlsmj59ujuoS1JOTo5mzpypxsbGkCH7jTfekNPp1IwZM9xBXZKSkpJ0xx13KDMzU5s3b9bevXsj7S4AAOgEIt1iMpqlNFt3+O5eQ6kMYiXisL527VpJ0jnnnONzznUsVO16UlKSsrOzdeqpp/o9d8wxx0iS9u/fH2l3AQBAJxLOFpOHW0oTDZ6lMkB7iKgMxjAMFRcXy2w2a+jQoT7nBw8eLLPZrOLiYhmGIVPrW99DZs+erdmzZ/s9V19fr+LiYknSkUceGUl3AQBAF9TWUppoc23/uKGwTHUNTTIcTrZ/RNREFNZrampks9mUmZmp5GTfj5sSExPVt29fVVRUqK6uTunp6W1+j2eeeUb19fUaOXKkBg4cGEl3AQBANxJov/c7p+Vp/pL8qAV4tn9Ee4oorDc0NEiSevToEbBNamrzXeXhhPWPPvpI//jHP2Q2m/XHP/7x8DsaQnJyorKyerXb9YMJ531DtYnFNehnbN8jGtegn9G9Bv2M7jXoZ3SvQT+Dt2n99emjjtEZX3yv9Vt+CHmtw+Wqad9bXqcHbhqnvr1Stb+qXhu/3Ke6hib17JGkMScOVFbfwBkKzToqo8WLiMK62Rx+ybvRxtvXDz/8ULNnz5bD4dAtt9yiMWPGtLV7AAAAfl13YY527K3Rvor6dn2ffRX1Wri8QMlJCfp06w9es/lPv75VZ4wcqOsuzFHf3oR5+BdRWE9LS5MkNTY2BmxjtVq92obj1Vdf1dy5c2W323XjjTfqmmuuiaSbIdlsdtXUNLTrewRSVnYw4jaxuAb9jO17ROMa9DO616Cf0b0G/YzuNejn4V1jzmWjA24PedKQTJ/tGg/X51/73yDDMKT1W35Q4c5KHZ2Vrq07KnzCvGcpTUWNVZuLy1VvbVJaalKXr4t3zaiH89+8M8jI6KHk5LZH74jCenp6utLS0lRVVSW73a7ERO/L2e12VVVVKSUlRb179w7rmg8//LAWLVokk8mk22+/XdOnT4+kiwAAAH4Fqml/cNZYZfZO1ROvbVV+YVm796PiQKMqDvhOfLpKaXb+cMBvmPdXF9/dAn13EFFYN5lMGj58uLZs2aKdO3dq+PDhXudLSkrkdDq99l8PxDAM3XXXXXr11VeVnJysBQsW6IILLoikewAAACEF2k1m6rkW7So92O4PXgolVJjfVXpQN07O0ZvrSnw+JWgd6OMlzMdLPzqDiJ9gOm7cOG3ZskWrV6/2CeurV6+WJJ199tkhr3P//ffr1VdfVXp6up566imddtppkXYNAADgsGWkp8Rs+8dIlFVbde+Ln8vW5PQ519bZ+XBCdKg2wc7X1Db6HU92zwks4rA+efJkLV68WM8884x+/OMf66STTpIkbd26VYsXL1Zqaqouv/xyd/tdu3apqalJAwYMUK9ezbVIH3/8sZ5//nklJibqH//4h0455ZRIuwUAABCxWG3/GCl/Qd1TNEptJAUN2r8cO1hvrt8Z9Pzjr231+0mF56cEd0w7RRk9o/cE2s4u4rB+zDHHaM6cOZo3b54uvfRS964tGzZskN1u14IFC9SvXz93++nTp2vv3r267777NHnyZEnSwoULJUn9+vXTSy+9pJdeesnve82aNUvDhg2LtMsAAABt0np2edjRGcq1ZMWkpj0WwgnzkkkVBwIH7YJvy+V0+t69uM5v3VER8qbC9UTYS38ygodMHRJxWJekKVOm6KijjtLixYu1adMmJScnKzc3V7NmzdIZZ5wR9LXV1dXaunWrJKm0tFQrV64M2Paiiy4irAMAgLgQLzXtseAvyLfmL6h7ChXUXfILyyiT8RCVsC5JEyZM0IQJE0K2e//9972+7tOnjwoLC6PVDQAAgJgIVtNuMkm5liw12Z3asr2i4zrZSbUuL+rOZTJRC+sAAADdTajtH2tqGzV/SX63mH2PBc8yme6ymwxhHQAAIEKBtn8MNfs+cmg/7S2r81sLDv+6W5kMYR0AAKAdhTP7HkmYT04yh10P3lWEUybTVfZyJ6wDAADEQLDZ98MN87mWLP3yzCF6fMUWSm3UXCbz3FtfKynR3GVm380d3QEAAACEDvMPzhrrdf7BWWN1w4UjdeyAdN0xNU952VkymbyvaTJJOcP6qV+czCgnJ7V/9NyyvUL5hb4PsXLNvs9fkq+aOlu79yNaCOsAAACdQKAwLwUP9L+/6GTddUVkYb5f75SQbcxmU9DzWX1Sdee0U/z2I5Zci1Q7C8pgAAAAuoj2KrWZel62ZBghy3HeXFcS9BoZPZP99uOh68fq32u+jdlDpjYVlanygLVT1LAT1gEAALqJww3zLqHahHONQP2I5UOmDEMq+LZcP807pt3fK1KUwQAAAEBS8FKbcNuEcw1/XNtcxqpMpt7a1P5vEgWEdQAAAMSFQLX3D10/VnnZWVF9r7TUpKher70Q1gEAABBXApXJZPWJTo25ySSNHtE/Ktdqb4R1AAAAxL1gZTImk5SXnaWcYf3CulauJatTLC6VWGAKAACATiKcXW3mL8kPukg1q09q8+42nQQz6wAAAOhUgu1qE2r2/Y5ppyijZ3KsuhoxZtYBAADQZYS7DWVnwcw6AAAAupzD3UIy3hDWAQAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU4R1AAAAIE4R1gEAAIA4ldjRHQAAAEDbmUyRtzGFaOB5PlBTszn4NUKdD/cawbqakOB50n/DhATXHLUhh8MI2ad4QVgHAAA+/AUj32OmVudNAV8rhR/agoey0EUBCQnmoNdITAx+jebzrb837zZJSQleXxuGd/jzDIYt//ZmajUeRutGJpP7hYafK7jypvfrvNvZnYbvdT3Y7A6/fXNpbHIEuHKL+kbHoX74b1FntR96vcf5Vk0PNjR5H2p1rQP1Nq/XtX6nqlpbgN61qDzYKEnqkZKg1KQEOZ2dI7AT1gEACMB/4PM+2NZZRX/XDBVAQ4fLluAYKKR6hke/EcX1QqO5hb8cYz900HCHRKfX+Ua749Dr5dXOxSe0Gb6h60C9zSuQtT7vClwyPL6PVo3Kahr8HnfZV1kfNMB+X17v7megdrtLD3q/Rat2u/fXtnqF74X2+LRpdb6sNtBLm/tZVhvw/Vva1AU7rR8Ofa8tvFv+UFEX7LQkaV/rNq2UepwP1I/9la370fp8Q9Dz5VUNvj/ZRus29UpMNCvBnKrUVjdb8YywDgCIWOuA2Pqj9dbnYxFgJe/ZT8PwDanmBJMMwyNUtmpgd7YcDBRQG2wOj3O+UcQ9Y2gEDqiVB6yH2rgCqneL0qp6j/fweQt9X17nHSz9NPIOj74hdK8r+AWZpfUJfq2u8UO5R2jz08/Synp33wKHNu9Q1nosyqvqW533vVhFdUOrBt4qa6xBz1cdaNUHP22qXTcNARyoDX5ekg7WBZ8Nrg11vr4p5HvUNQRvU28Nfr7h0A1WMNbG4G2sNkfQ85LUGKKNrSmy85LUZHeGLPuJR4R1AOhkgv1dE06ZQfghOHBJg+vj++ag6zsL6/XRuiGf87XWpubXui/S9gC779BMnGeQan0Nr9lPP++xu9R7ZrP1+e/Lan3PtWq0r6Iu4EfzUsuMYbCZ3PJD4dJf8JSkymprwOtLLeEy2HuECo+hgqMUOviFCnahQp0UOnQ12Z1Bz0sKWY8cqvwh2DgCsUZYB4A2Otx6XM+QHOganjPBTq8pX/cr5TBcs6K+s6OetaOumVa/ZQRGy7nWIfiHinp3aHT1ofU1XB/fG97/armGRxmBfE+rtKJldjRQMCqvbmh1ae+GrWdH/RV3hJr9DBVQQ4VTKXRADTVjKIUOoA7CJdBtEdYBdHrewdf/bHDLojX/KdmzpMLfx6Qms8lrFtkw/Adlr5DcqkHlAasMQ3LKcIfL1tfYvb/WHY79BbDmGtaW17VuUlpR51Ev7D/BucoIWmabvdtV1VjdxwKFwFAhN9RH69EIsJ1lcRgARIKwDqBdtQ7SbQ3RUnOQdgVof7PNDo/w7DScfssuDtTbWmaS/QTpHypaShX8vYd7JtkVbv3MWLuCsuvarYNueXVDy4x48//4XKP6gFXB1NYHD8kNYZQZhAzBTNMCQNwgrAOQ5L8sw7OsI1Cgds1Ie4VpD/6CtCevEH1oizFn60Vt5fXuAO1vMnVvWW1L8PUI055ci9bcQbrVNaoOWAOGbCm8et5QQTmcWlsAADwR1oFOrCVg+85Yh1MfnZBgOlTSoUN10N4ptc5ql3sLN6chp5oDtSdXfbPT6T9Mf19W67GQ0LfkwidE+yvLONAQsBxDkurC2BEh1KI1SioAAPGIsA50kGBBW/J9qEfrOmpDksPpqqF2ytlq0raqtlGGs6W+2umnxnr3/rqW7ez8nC+trPcO0X4Ss2tGOlCYDrW1WDjbbVGVAQDorgjrQAQ8A7cn16x2wC32TM07ejidLUG7dRAur2kOwQ6n0TJz7WFvWfCgXVZV3zyT7bmQsXUJSoit3MLZZo0ZaQAA2g9hHWjFZGqZ6fZXp5106BHFTleQNgw5Wk1rV9U2uts4nb6lIXvKaltmow3/O4dUVDd47SrSOoyHWmjY1ER9NAAAnR1hHV2WK2j7q+VuCeMmn5nhRrtDDodH0G51fnfpQa+t+/wF6bLKeveuIP6CeKin0kmS3UHYBgCguyOso1NpHcBbB/HWs95Op9PnYSLlNVY5DaccTsnpcPrMev9QXucVwlsH7VAPWZHY9QMAAEQHYR1xxXPPbX/13nZnc8mJ0yk5/ATx3ftr5TxUmuL58BpPFdUNARdcSqGfRggAABArhHXETHMQN3mVoLSu9a61NsnpaJ4Vd/3j6fuyOvdDa/yVn4R6oIxEeQkAAOg8COuIGs8dUEwmk08oPlBvk8MpORzNM+IOh9PnATqlFfUej3Q3ZLTK1XUNoffTBgAA6CoI6wiLv/KU1rPeVbWNsjuccjgMdyD3tL+ywSuE+3ukeaMt9J7bAAAA3QVhHW6uEhXPUhWXOqtdDodTdoehJofTbxgvq6pvfghPgCAezsNvAAAA0IKw3g25Anmro2q0O2S3O9Vkd6qpVQlLaWW9extD15aGrbGvNwAAQHQR1ruJhITmxZ2GmrcVbGz1ZMo95bWHFnY65fSzsDOcJ1kCAAAgugjrXZDJZJLZ7D1zXl1rk83ukK3pUAmLo+0P6QEAAEBsEda7CNe2iJJktdnV0GqhZllVg986cwAAAMQvwnoXYDKbVN/okLXRrgab3V137onFnQAAAJ0PYb2TMZt9S1z2ltWpyWNxKAAAALoGwnon4KpBN2SoodHh82CgA7WNHdQzAAAAtCfCeifQ5HCqrs6uemuTmpqcstkpaQEAAOgOCOtxxl+Zyw8VdWpqcqrJ7pCfZw0BAACgiyKsx4mEBLMMGaprsKvO6l3mUlffFOBVAAAA6MqiFtbXr1+vRYsWqbCwUE1NTTrxxBM1c+ZMnXXWWWFfo6SkRI899pjy8/NVXV2tQYMG6eKLL9aUKVNkNpuj1dW4ZDabtHt/nRptdnZuAQAAgCQpKgl4xYoVmjFjhgoKCpSTk6PRo0eroKBAM2fO1PLly8O6xjfffKPf/OY3WrVqlY466iiNGzdO+/bt0//93//ptttui0Y3459hqMFq93lgEQAAALqniGfWS0tLNXfuXPXq1UvLli2TxWKRJG3ZskUzZszQvffeq/Hjx+uII44IeA3DMHTbbbeptrZWDzzwgH71q19JkiorKzV9+nStXLlS5557riZOnBhpdwEAAIBOI+KZ9aVLl8pms2n69OnuoC5JOTk5mjlzphobG0POrq9bt06FhYU67bTT3EFdkjIzM/WXv/xFkvTiiy9G2lUAAACgU4k4rK9du1aSdM455/iccx37+OOPD/saubm56tevn/Lz81VbWxtpdwEAAIBOI6KwbhiGiouLZTabNXToUJ/zgwcPltlsVnFxsYwgew4WFxdLktfMvKchQ4bI6XRq+/btkXQXAAAA6FRMRrAUHUJ1dbXGjBmjzMxMffrpp37bjB07VhUVFcrPz1d6errfNpMmTVJRUZFWrVql4cOH+5z//e9/r//+97968skn9dOf/vRwuxvQ1uJy3fHUuqhfFwAAAJCk+bPO1Mjh/dv8uohm1hsaGiRJPXr0CNgmNTVVklRXVxfyOq62ga5RX19/WP0EAAAAOqOIwnpb9j4PNoGfkJAgSTKZTAHbSJLT6Qz7/QAAAIDOLqKtG9PS0iRJjY2NAdtYrVavtv64ZuZdbQNdo2fPnofVz1CyB/XRP//0k3a5tj9ZWb0kSWVlB93HkpIStLv0oKoPBh5L+NenT/PPVnU1n7xEA+MZXYxndDGe0cV4RhfjGV3tMZ7JSQkakNlDvdOS5XTG9rk2GRmBK1GCiWhmPT09XWlpaaqqqpLdbvc5b7fbVVVVpZSUFPXu3TvgdQYMGCBJKi8v93u+rKxMkpSVlRVJdwEAAIBOJaKwbjKZNHz4cDkcDu3cudPnfElJiZxOZ8BdXlxGjBghqWVXGE+GYWjHjh1KSEjQsGHDIukuAAAA0KlEvM/6uHHjJEmrV6/2Oec6dvbZZ4d1jTVr1vic27RpkyorK5WXlxdwNxkAAACgK4o4rE+ePFkpKSl65plntG3bNvfxrVu3avHixUpNTdXll1/uPr5r1y5t375dBw+21GufdtppGjFihNatW6eXX37ZfbyyslJ//etfJUkzZsyItKsAAABApxLRAlNJOuaYYzRnzhzNmzdPl156qcaMGSNJ2rBhg+x2uxYsWKB+/fq520+fPl179+7Vfffdp8mTJ0tq3lVm/vz5uvLKK3X33Xfr1Vdf1YABA7Rx40bV1NTo4osv1k9+ErsFoAAAAEA8iDisS9KUKVN01FFHafHixdq0aZOSk5OVm5urWbNm6YwzzgjrGjk5OXrllVe0cOFCbdiwQd9++61+9KMf6Q9/+IMuuuiiaHQzrhmGlJycoF49k9Vkd8rW5Ij5KmUAAADEl4ieYNpV2Gx21dQ0xOz9/G3daDKZlJBgkt1hqM7apHqrXY02h2xNDjXZHeK/UmBslRVdjGd0MZ7RxXhGF+MZXYxndHXFrRuTk9s+Tx6VmXVEzjAM2e2GTCapd1qSMnqmqLHJrjqrXfVWe3Nob3Koyc6DoQAAALoLwnqcMQzJ4TAkOZRoNqtveor69kpRQ6NddQ12WW3Nwd3W5DjUDgAAAF0VYT2OGYbhDuSpSQlKS0mU0zBU12BXnbVJjbbmmfYmO8EdAACgKyKsdxJOp+GureqZmqheaUmy2w3V25rU0GhXo80pu90V3imVAQAA6AoI652QK7ibTFJ6alLzIgnDUEOjQw1WuxpsdtkPhXa7w8muMgAAAJ0UYb0TM4zmUhlXGO+R3FwqI5PUaHOovtHuLpVxOA794zRkdzjZXQYAAKATIKx3Ic2hvTmFJyU0L041mSSnYcjW5Dy0MNUpm0edu8PZHOA9y2wAAAAQHwjrXZTn4lRJSkowKTkxSaY0k0wmkxxOpxqbHLLZnbI3OdXkaC6ZcTgMOT0CvIMQDwAA0GEI692Eq2TGNfMuSSmJCUpNSjgU4JvP2O3Nwb3J7pTd3jwL7yqfcc2+O42WPzsI8gAAAO2GsN6NGYZxqHa9JXCbTR4h3tQc4iW5a92b7IbsTqccdtdsvEeI9wjyrlp6p/s9AAAA0FaEdXhxhffWIV6SEs0mJaWYJbUEeVdJjd1hyHEovDuczeU0dqdTDocOLWj1CPGGPP7sOh777xUAACDeEdYRtpZSGql1kE8wSQmJCUpJav66ZVbeJEOG12JWh0egdzgN2Z2GnA7noeAud4g3WoV61/sT7AEAQHdBWEdUeM/IN/+5tUSzSYlms0xJcgd5V5mNa4be6ZDsTqe7Hr454Msr3Bvu8prmWfqUpAQ5DUPJSQmHwnzzcYI9AADo7AjriJlwAr3UvHONEsxeQd71Z9dMvedONT3TU+VwOpWSIHewb66hl5zOQzP2hmQ4W2bnvWfqCfcAACA+EdYRd8IN9QkmKSHBpN49kyVJTptdpkOp3t+MvcNw7WpzKMQ7DTkMf+Hef4g3WgV8wxALaAEAQLsirKPTah2SPR8K5Y+7DMckNS+SlSTfcO88VHrj3qLy0J71XltWus/Jfcwn1MtfyD/0v2ImHwAAhEZYR7fhO2Pf/HUgrpl7qbnOXlLggO/a1cbZPIPv2uHG4aqvPzSL7wr1DqdrAa3HTL48Arw78PsJ+x43AS3fFwAA6IoI60AAnmU44QZ8qXkGX2azR529/5Df/GdTy2LZVrP5rp1xHM31NnIcqrt3etTcO5qTvjvwN/e7Jej7Df1qPuD1ZzHTDwBAPCKsA1Hmfwa/+VgoXrP5YYR91446TqdxaOGtPMJ/82y993aYrmB/KPirZZ97Vw1+zx5Jze3Sk93HgwV81/fs9WeP75+bAAAADh9hHYgjgWfzm4+FI8Gk5kRvNktqHe69g3/r8yaTSX36pMnhNFRdnegO+q5g3voGwGtP/EPlO65ZfveOOzq0nqD1LP+hb8nrzwFuBCTfm4FA7QAA6EoI60AX03oXHf8hNniyTTCb5HQ0tzFJMkdwA9D8dfMBp+FZtiOfLTS9bgRktLoBaL1It/mTBNf36Lq24TfEe5YGHfpa/m8EfL/2vJng5gAAEFuEdQAhReMGwJ/mTwF06F/+bwRajgW+GWg+ZjrUt5bg31zuIznle1NgeN0AGHIe+sbcYd+1CPhQSvfcptPr5kDeNwRq9XVqcoIMSWmpSV6fCLj62tK+5ROD5j/L59MGeR5ToP8OAICuhLAOoMP4W7gbOIAefjIN96ag5bjJzzGfljKZvBfuum4AZLTcIGT0TpXTkKqTm9/X6ybBc2cfQ3LK9XqPmwZ/NwvyWAtg+P+UQJ7HAt0EuP/cch3P13ler/WnEv5uOlq/FgAQOcI6gC6vbTcFLW0i4bpB6JHavO9nQ12CpFA3CVLrG4XAr2l5sm9L3b/3pwaumwZ3m0PfltNrYbDnDH/L+gTXzUNLu1a7CXnenLjayPsGImCg9/hXy5+9Pz3wuJ3wOp+caJYhKSU5wWs0vG4wvD6KaP2ega/t+oPR6sXcgADoSIR1AGgHrQNe+LXu0U2GCa6g7078wcuJfM+Fe/PQ3NbznNMwvMKvd7g3fIJ865uJ5oOuTxKa2/Xu3UOGDPVIMrWcc1/c42uP67W+efD+VKF1+ZL7lM951x9a34i4XuHv9e5zXl+3vjHx7lOrpl6fengc8hH6JsXrnSRDMptMkgyZzSavF/m+IzctQEchrANAF+YbsNpastI+Cc29cFlqlf6D3xz06ZUiSXLa7EHb+btO4LZBW/pt3/rTjEN/9Ppfd9j3Ou9542K0ztGBS5rcn2h43Jx4vsarby1/8HuT0tINpaenyJAhs59PnLw/9fC9afE47efm5dCr/N5UtOqwn5sZf9dvfdTPId/jHv0N9JMc7Peg9U2U/zYtf0g49EOdmGD2388AnQz6W9b6hi4Ebqq6HsI6AKBDhLtQ2V87pzNUIomPxOJ9U+L+1yFm3/Zh30T4ax/+i12v69u3pySpKsm3L/6u669/Adc1uM97/6+rseG3nf+bSZ8bG6/r+G/v3czwbe/3jfyc99PM84Bnt9MP3UwmmILdeXj3ye8NTZg3B+Fcy9/BQPfwoX9r2nqz3+pVAV/j/wYw9VC5W88eSUFeEc4bt/D6FKmTIKwDANCO2rJoOrJZ0cN/sd3uDN0oyrxuZFwHAt5wBL6ZaOsNTtA+BVgfEq7MzOabnxQ/gTCa/fQVzqJ4/3zWk3j9wfuLMO8FAv8c+7vBCHLNjIwekqSa1ISAbfy+TYgblKSEYDen8YewDgAAOkT4NyeBG7Z/2Ufb38DhiP3NT2fjup/wO9F96FiPlOaYWtem2fBw2hphfDoXPwjrAAAA6BDh3Gy17Yas84TwcHWuzwEAAACAboSwDgAAAMQpwjoAAAAQpwjrAAAAQJwirAMAAABxirAOAAAAxCnCOgAAABCnCOsAAABAnCKsAwAAAHGKsA4AAADEKcI6AAAAEKcI6wAAAECcIqwDAAAAcYqwDgAAAMQpwjoAAAAQpwjrAAAAQJwyGYZhdHQnOprTachud8Ts/ZKTEyVJNps9Zu/ZlTGe0cV4RhfjGV2MZ3QxntHFeEZXVxvPxMQEmc2mNr+OsA4AAADEKcpgAAAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOIUYR0AAACIU4R1AAAAIE4R1gEAAIA4RVgHAAAA4hRhHQAAAIhThHUAAAAgThHWAQAAgDhFWAcAAADiFGEdAAAAiFOEdQAAACBOEdYBAACAOEVYBwAAAOJUYkd3oLtZv369Fi1apMLCQjU1NenEE0/UzJkzddZZZ3V01zqFFStW6Pbbb9fSpUt1yimn+JwvKSnRY489pvz8fFVXV2vQoEG6+OKLNWXKFJnN3JtKksPh0L///W+99tpr2rFjhxwOh4499lhdcMEF+u1vf6uUlBSv9lu3btUTTzyhrVu3qr6+XsOHD9cVV1yhSZMmddB3EF8cDoeWLl2qV199VSUlJerRo4dOOukkXXHFFRo/frxPe35Gw1ddXa1JkyZp//79Kiws9DnPWIb2+uuva86cOQHPX3fddbr55pvdX/P7HtrevXv1xBNP6JNPPlFlZaX69u2r8ePHa/bs2crKyvJqy8+of9nZ2WG1+9e//qUxY8a4v+6u42kyDMPo6E50F66gmZycrNNPP11Op1MbNmxQU1OT5s2bp0suuaSjuxjXCgoKdNVVV6m+vt5vWP/mm280ZcoU1dbWKjc3V/369dOGDRt04MABTZo0SQ899FAH9Tx+OBwOXX/99frwww+Vlpamk08+WYmJifriiy904MABnXzyyXrhhRfUo0cPSdK6det07bXXyul06tRTT1WPHj306aefymq1+vwl313ddttteuONN5Senq68vDw1NTXps88+U1NTk2bPnq0bbrjB3Zaf0ba5+eab9dZbb0mST1hnLMNz33336fnnn9eZZ56pzMxMn/PnnHOOfvazn0ni9z0cW7du1YwZM3Tw4EFZLBYNGjRI27Zt0759+zRo0CC9+uqrysjIkMTPaDC33nprwHO7du3SF198oV69eunNN9/UUUcdJambj6eBmNi3b59x0kknGXl5eUZhYaH7+BdffGHk5uYaI0eONPbt29eBPYxvb7/9tjF69GjDYrEYFovF+Oyzz7zOO51OY9KkSYbFYjFef/119/GKigr38bfffjvW3Y47//73vw2LxWJMmjTJ6+etoqLCuOSSSwyLxWI89NBDhmEYRkNDg3HGGWcYJ554ovHpp5+623733XfGWWedZVgsFmPr1q0x/x7iyapVqwyLxWJMnDjRKCsrcx8vKioy8vLyjOOOO84oKSkxDIOf0bZauXKl+/fdYrF4nWMswzd16lTDYrGE/PuF3/fQGhsbjfPOO8+wWCzGv/71L/dxq9Vq3HTTTYbFYjHuuecewzD4GT1cdXV1xsSJE43s7Gzjww8/dB/v7uPZdT8ziDNLly6VzWbT9OnTZbFY3MdzcnI0c+ZMNTY2avny5R3Yw/i0b98+3XbbbZo9e7acTqf69+/vt926detUWFio0047Tb/61a/cxzMzM/WXv/xFkvTiiy/Gostx7bXXXpMk3XHHHTriiCPcxz3HadWqVZKkN954QxUVFZo0aZJOP/10d9tBgwa5Z0W6+5i++eabkppniTx/NkeMGKFJkybJ6XRq3bp1kvgZbYvS0lLNmzdPo0ePVkJCgs95xjJ833zzjfr37+/1++4Pv++hvfXWW9q5c6cmTZqkadOmuY+npKTo9ttvV//+/VVSUiKJn9HDNX/+fJWUlGjq1Kk6++yz3ce7+3gS1mNk7dq1kpo/cmzNdezjjz+OaZ86g0ceeURvvPGGTjrpJC1fvlxDhw712y7Y+Lo+LsvPz1dtbW279jfe9e3bV0OHDlVOTo7PucGDB0uS9u/fL6llTH/605/6tJ0wYYISEhK6/c/swoULtXLlSr9rTurq6iTJHTb5GQ3fnXfeKZvNpgULFvg9z1iGZ/fu3Tpw4IBOPPHEkG35fQ/t3XfflSTNmDHD59zAgQO1bt06Pfvss5L4GT0cW7Zs0auvvqqBAwfqD3/4g9e57j6ehPUYMAxDxcXFMpvNfsPm4MGDZTabVVxcLIMlBF6GDh2qBQsW6JVXXgm6IKW4uFiSvD618DRkyBA5nU5t3769XfrZWSxatEj//e9/lZaW5nNu69atkqQjjzxSkvTtt99K8j+m6enpGjBggCorK1VeXt6OPY5vycnJslgsSk5O9jr+wQcf6O2331ZaWpr7Lxd+RsOzbNkyrV27Vrfeeqt+9KMf+W3DWIbn66+/liT169dP99xzj84991yNHDlSEydO1BNPPKHGxkZ3W37fQ/vqq6+UlJSk4447Tj/88IOefvpp3XXXXXrooYe0ZcsWr7b8jLbd/PnzZRiGbr31Vp+/o7r7eLIbTAzU1NTIZrMpMzPT5y91SUpMTFTfvn1VUVGhuro6paend0Av49M111wTVjvXbHDrlfguruPd+S+aYAzD0KOPPipJOu+88yRJZWVlkoKP6Q8//KDy8vKA5UndidVq1W233abi4mJt375dRx11lB544AH32PAzGtp3332nBx98UGeccYamTJkSsB1jGZ6vvvpKUvPmBn369FFubq6OOOIIbdu2TQsXLtTatWv1/PPPKzU1ld/3EGw2m3744QcdeeSRevvtt3XnnXeqoaHBff6ZZ57R1Vdfrdtuu00SP6Nt9fHHH6ugoEDDhw/Xz3/+c5/z3X08mVmPAdcvtGuHDX9SU1MltXx0jrZxjbFrHFtzHa+vr49ZnzqTv//97/rss8/Uv39//fa3v5XEmLbV999/r3feecdrZsdzBxPGMziHw6E5c+bIbDZr/vz5MplMAdsyluFxzayff/75+uCDD/TUU09pyZIl+s9//qPjjjtOBQUFeuSRRyQxpqG4yitqamo0Z84cnXPOOXr77bf12Wef6eGHH1afPn307LPPuteeMZ5t88ILL0hqnqDz97vf3ceTsB4Dbdn7kzKYw+OqCw72F7wkOZ3OWHSnU3n00Uf19NNPKzk5WY888oh7e7eEhASZTCbGNExHHnmk/ve//2njxo165JFH1NTUpHvuuUdPP/20JH5GQ1m8eLEKCgr0pz/9yb1VWyCMZXgWLlyoVatW6YEHHvAqKzjmmGN0//33y2Qyafny5WpqauL3PQSbzSapOTSOGTNGDz30kIYMGaLevXvrggsucK+veOKJJ2QYBj+jbbBjxw6tW7dORx11lH7xi1/4bdPdx5OwHgOu/5P0rA9szWq1erVF27g+tXCNY2uu4z179oxZn+Kd3W7Xn//8Zz355JNKSUnR448/rlNPPdV9vkePHjIMI+DPLWPqLS0tTX379lVGRobOP/98Pf744zKZTPrHP/6hxsZGfkaD+Oabb/TYY49p/Pjxuuiii0K2ZyzDk5KSouHDh/stvzz++ON15JFHqr6+Xjt37uT3PQTPGd3LLrvM5/z48eN1xBFHqLS01D2eEj+j4Xj77bdlGIYmTZrkd/cnid95wnoMpKenKy0tTVVVVbLb7T7n7Xa7qqqqlJKSot69e3dADzu/AQMGSApcrxaqHrO7qaur03XXXafly5erd+/eevbZZ722yZJaxtQ1dq0xpsGNGjVKgwYNUm1trXbv3s3PaBAPP/ywmpqa1NTUpFtvvdXrH9dMmevryspKxjJKXLXnDQ0N/L6H0KtXLyUlJUlq/mTCH9cnQlVVVfyMtsHq1aslyW+tukt3H0/CegyYTCYNHz5cDodDO3fu9DlfUlIip9MZcJUzQhsxYoSklhXjngzD0I4dO5SQkKBhw4bFumtxp6amRtOmTdPatWs1cOBALV261GtG3cU1pv5W19fW1mr//v3KzMzslovNpOafqwceeEA333yz35twSe4ZTbvdzs9oEK4603Xr1mnlypVe/7hKA11f19fXM5ZhqK2t1d13363Zs2cH/Pncs2ePpOYSLn7fg/P8eSotLfXbxhUk+/Xrx89omCoqKvTll19q8ODBQXd86+7jSViPkXHjxklquYP05DrWemYT4XON75o1a3zObdq0SZWVlcrLy+v2O+3YbDZdc801+vLLLzV8+HC99NJLAW8Sg/3Mvv/++3I4HN36Z9ZkMmnNmjV666233A8+8rR7926VlJQoLS1NQ4YM4Wc0iBdffFGFhYV+/3F9LO76+phjjmEsw9CzZ0+99957euedd/TZZ5/5nP/oo49UVVUli8WiAQMG8PseBtfzFN5++22fczt27NDevXs1YMAAHXvssfyMhsm15eXo0aODtuvu40lYj5HJkycrJSVFzzzzjLZt2+Y+vnXrVi1evFipqam6/PLLO7CHndtpp52mESNGaN26dXr55ZfdxysrK/XXv/5Vkv8HWXQ3Cxcu1ObNmzVw4EC9+OKL7j3V/Zk4caL69eun1157TR999JH7+O7du/W3v/1NJpNJ06dPj0Gv49fFF18sSfq///s/7du3z328tLRUf/jDH2S323X55ZcrJSWFn9EoYixDM5lM7p/Pe+65x2s2eNeuXZo3b54kadasWZL4fQ/HpZdeqrS0NL3++utauXKl+3hNTY3uuusuOZ1OTZkyRWazmZ/RMLny0EknnRS0XXcfT5PB9iMxs3TpUs2bN09JSUkaM2aMJGnDhg2y2+1asGCB1yN04d+0adO0ceNGLV26VKeccorXuS1btujKK69UfX29Tj75ZA0YMEAbN25UTU2NLr74Yt1zzz0d1Ov4UFVVpfHjx8tqterEE08M+DRYSXrooYckNc9izJ49Ww6HQ6eeeqp69uyp//3vf2poaNDNN9+s6667Llbdj0tNTU264YYb9NFHHyktLU25ublyOBz64osvVF9fr7PPPluPP/64uxyGn9G2O+GEE+RwOLy2wZQYy3BYrVZdddVVys/PV1pamvLy8iQ1/71js9l01VVXac6cOe72/L6H9tZbb+mPf/yj7Ha7TjzxRA0YMECbN29WVVWVTj/9dC1evNhd287PaGhz5szR66+/rkcffVQ/+9nPgrbtzuNJWI+xDz74QIsXL9ZXX32l5ORkZWdna9asWTrjjDM6umudQrCwLjXXsy1cuND9l9GPfvQjXXrppbrooosCrjLvLt59913ddNNNYbX1DEabNm3SE088oS+++EKGYWj48OGaPn26zj///PbqaqficDi0bNkyrVixQtu3b5fZbJbFYtHkyZN18cUX+2zdys9o2wQK6xJjGQ6bzabnn39eK1eu1M6dO5WcnKwTTjhB06ZNcz8AzRO/76F9/fXXeuqpp/TZZ5+prq5Oxx57rH71q19pxowZ7qDuws9ocDNnztTHH3+s5557TmPHjg3ZvruOJ2EdAAAAiFPUrAMAAABxirAOAAAAxCnCOgAAABCnCOsAAABAnCKsAwAAAHGKsA4AAADEKcI6AAAAEKcI6wAAAECcIqwDAAAAcYqwDgAAAMQpwjoAAAAQpwjrAAAAQJwirAMAAABxirAOAAAAxCnCOgAAABCnCOsAAABAnCKsAwAAAHHq/wN9OFJDXPpLUAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 43,
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 373
      }
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 373
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "sm.graphics.tsa.plot_acf(River_Arno.Hydrometry_Nave_di_Rosano.dropna(),lags=72,use_vlines=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "id": "VDD6zVEuYnjd",
    "outputId": "8c42a260-b9ce-4035-9133-0a4daa5757bf"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 41,
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 380
      }
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 380
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fig, axes = plt.subplots(1, 1, figsize=(18,8),sharex=True)\n",
    "sm.graphics.tsa.plot_pacf(monthly_max_Hydro.dropna(),lags=75, use_vlines=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "E9YmukhJYnje"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "BZBiXR_RYnje",
    "outputId": "13f33f54-f5b6-4203-a895-fcd52decc458"
   },
   "outputs": [],
   "source": [
    "yearly_mean_Hydro"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9Xz8_TA9Ynje"
   },
   "source": [
    "These yearly minima are testament that this river is very dynamical, and that the measured river level is also a function of deposits (sand and sediments) that get dropped or moved.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "id": "O00ht8k8Ynje",
    "outputId": "a4e1593f-86ce-4633-ce8f-f1c0821ba123"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 389
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot( data=yearly_mean_Hydro ) #x='Date',\n",
    "sns.lineplot( data=yearly_min_Hydro ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "xfvNQThqYnje",
    "outputId": "3d10dfa4-59a6-4c73-9bd4-b00fa106f672"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HDx9GQ0MDZs6cGVLbVkIIIcrAr1FIG6Q7D9DdIrXJnyJDQ9f61sabyjxYa1TudklxSDfFocXaBZfHh6pGG0bnKjcIIyRaiB4oNDc349Zbb0VdXd2QzuQPp8iYz2g0wmAwwGw2w+Px9OpM5PF4YDabodfrkZQ0tDebTz/9FACwYsWKEa2JEEKIsgx12FqAiYauDaptGDMU+Mbmm9DSHbiV1VgoUCBEBkQPFJ555hnU1tYiPj4eK1asQHFxMVcrICaGYVBSUoJjx46hoqICJSUlguvLy8vh8/kE8xUGs3v3bgDAFVdcIepaCSGEyA/LsoJha2lDCRR4nY9oR6FvZt7vdCjBV8DY/GTsO9kIADhXY8UVF4m+NELIMIkeKOzcuRMMw+Dll1/G9OnTxb57gYULF+LYsWPYvn17r0Bh+/btAIDFixcP6b5sNhvOnz+PvLy8ASc5E0IIiQ4dnW54vD4AgEGvGVLvfsEsBRq61id+6lHKMHcUAs7VWIbd2pwQIj7RK4VaW1tRUlIS9iABAG644Qbo9Xo8//zzOHHiBPf948ePY+PGjYiLi8Ptt9/Ofb+qqgrnz59HR0fvIpKTJ0+CZVlMmTIl7OsmhBAivdZhph0BwtQjGrrWN7NgiN3QA4Wc9AQkxPmDtfZON5rM1OiDEKmJHiikp6dzRcThlp+fj4ceegg2mw233nor1q1bh3Xr1uG2226D3W7Hhg0bkJYWHNqyZs0aXHPNNdi2bVuv+6qpqeHWTwghJPoNt5AZoKFrg3F7vOjoDA5b4+/ADEbFMBiTF9xVOFtjEXt5hJBhEj1QWLJkCWpra3HmzBmx77pPq1evxrPPPovp06fj8OHDOHHiBGbNmoWXXnppWDMc2tr8fZtHOimaEEKIsggKmYfY798kSD2iHYWe+LsJJqMOKtXwUoeE6UdW0dZFCBkZ0WsU7r//fnz22Wf43//9X/zhD3/A1KlTxX6IXpYsWYIlS5YMersdO3b0e9369euxfv16MZdFCCFExviFzOkjSj1yUR59D+YRdjwKGJufzH1NgQIh0gtL16MpU6Zg27ZtuPnmm5GcnIzMzExotdo+b88wDN566y2xl0EIIYQMaLitUQFAr1UjXq+Gw+mF18fC3uWBMb7vz7dYxG+NmjKMjkcBxTmJ0KgZeLwsGts60W53IYkXnBFCIkv0QOG1117jzq6wLAuz2Qyz2dzv7elMDCGEECnwi5mH0ho1wJSgh8PZCQCw2JwUKPAIgq8R7ChoNWqMyklCWfduQlmtFbPGZYi2PkLI8IgeKDzxxBNi3yUhhBAiOmHXo6Ef1CYbdWho8wcKVrsL+XQcyxlpxyO+sfkmLlA4V2OhQIEQCYkeKFx//fVi3yUhhBAiKpc72J1HrRped54kapHar7YRDlvjG5ufjA9RBYDqFAiRmuhdjwghhBC5a+tx5ns43XkEQ9eoRaqAGDsKJbwWqZUNHXC6vSGvixAyMqLvKAS0trbiwoULcDgcYFlWcJ3H44HT6URTUxN27tyJl19+OVzLIIQQQnoZybC1AJql0D9zR2g1CgBgjNciNz0BdS12eH0syuvaMaEoRawlEkKGQfRAgWVZ/OpXv8Kbb77ZK0Do67ZUzEwIISTSRjJsLSA5gWYp9MXt8aG9O52LYYQB1XCNzTehrsUOwF+nQIECIdIQPfXo7bffxr/+9S/4fD5otVqkpaWBZVkkJSUhPT0dGo2GCyAmTJiAX/7yl2IvgRBCCBnQSFqjBiQZhbMUiJ+ZV6+RbNRDrRr5IQYNXiNEHkQPFN577z0wDIN169bh6NGj+OSTT6DVarFo0SLs2bMHhw4dwoYNGxAXF4fGxkYsXbpU7CUQQgghAxK0Rh3iVOaAZF4xs8VOgUKAOcTWqHz8wWtltVb4fANnKBBCwkP0QOHs2bMwGo34wQ9+AJVKBYPBgPHjx+PLL78EAOh0Otx888342c9+BrPZjJdeeknsJRBCCCED4nfnGc4MBQAw8YqZ2yn1iNOzQDwU6aY4JHfv3HS5vKhptoV0f4SQkRE9ULDb7SgoKBBMYh47dixaWlrQ2trKfe/6669HUlISdu3aJfYSCCGEkAGFUsycEKeBRu2vr3M4vdSVp5uw49HIWqMGMAwj2FWg9CNCpCF6oJCQkAC32y34Xl5eHgDg/Pnz3Pc0Gg0KCgpQW1sr9hIIIYSQfvlYVlCjMNxiZoZhYKJZCr2YBTMUQttRAHrWKVhCvj9CyPCJHiiMHj0aVVVVsFgs3PdGjRoFlmVx8uRJwW3b29vFfnhCCCFkQB12Fzxef857QpwGcbrhNwDkpx9Ri1S/Nl5r1FBTjwD02lEYrJMiIUR8ogcKS5YsgdPpxAMPPICKigoAwMyZM8EwDF5//XUuOPjss89QXV2N/Px8sZdACCGE9Ks1hPqEAP6OQjsVNAMQ1iikhph6BAD5mQnQ69QA/GlN/HQxQkhkiB4o3H777cjPz8eBAwewYsUKuFwu5OXl4fLLL0d1dTWuvPJK3HDDDbj//vvBMAyuvPJKsZdACCGE9CuU1qgBwh0FSj0ChDUKYqQeqVUqlOQmcZepToGQyBM9UDAajXj11VexfPlypKenQ6fzn3V55JFHUFhYCLPZjFOnTsHj8WDSpEn4zne+I/YSCCGEkH61CIatjSxQ4LdItdKOgn/YWvfvgWGApISRD1vjo4JmQqQl+mRmAMjJycHf/vY3uFwuwffee+89bN++HbW1tRg1ahSWLVsGtVodjiUQQgghfRLsKJhGdubbREPXBPi7KqYEHTRqcc5D8guay6igmZCIC0ugEBDYTQiIi4vDN77xjXA+JCGEEDIgwbC1Edco8FKPaJZCj7Sj0OsTAkbnmqBiGPhYFrXNdti73EiI0w7+g4QQUYQtUHA6nbBYLMjKyuK+t2PHDrz33nvw+XxYtGgRbrjhBqhCGPFOCCGEDFcow9YCaEdBiL9LI0bHowC9To2ibCPK6zvAAjhfa8W0Memi3T8hZGBhOUrftGkT5s+fj6eeeor73ltvvYV7770XH3/8MT755BM8+uijuPfee8Px8IQQQki/Qhm2FpDMK2amGoUeOwoidDziozoFQqQjeqDwxRdf4Ne//jXsdjs6OjoAAB6PB3/+858BAJdccgnuv/9+pKenY+fOnfj3v/8t9hIIIYSQPjldXtgc/qGgahUj2BkYjkSDFkz31x12F7w+n0grVCb+Lo2YOwoAUJLHG7xWbRH1vgkhAxM9UHj99dfBMAwefPBBbkdh3759MJvNSE1NxXPPPYd7770XL7zwAgDg3XffFXsJhBBCSJ/4Q8FSk/RQMcwAt+6fRq2C0eDPlWcBtNvdYixPsXr+XsXEL2i+UN8Btye2gzJCIkn0QOHrr79GWloa1q9fz31v165dAPzD2LRa/xvruHHjUFhYiLNnz4q9BEIIIaRPYhQyB/ALmq0xXtAcztQjk1GPzJR4AIDH60NlQ4eo908I6Z/ogYLFYkFOTg4Y3lmaPXv2gGEYzJ8/X3Bbo9EIu90u9hIIIYSQPvFTZELtzpNMBc0c/lRmsVOPAOGuwjlqk0pIxIgeKCQkJMBisXCXq6urUVlZCYZhMG/ePO77Xq8XNTU1MJlMfdwLIYQQIj7+sLVQAwUTDV0D4D/Lzw1bA0Zc9zEQKmgmRBqiBwqTJ09GTU0NDh06BAB48803AQDTp09Hamoqd7uXX34ZVqsVU6ZMEXsJhBBCSJ/aBKlHoZ35NvE6H/EHjsUaC283wWQUb9gan2DwWq0VPpYV/TEIIb2JPkfhtttuw969e7Fu3ToUFxfjzJkzYBgGq1evBgBcuHABTzzxBD7//HMwDINbb71V7CUQQgghfRIECqYQdxSMtKMA9Ew7Erc+ISA71QBjvBY2hxs2hxsNrZ3ITU8Iy2MRQoJED/uXL1+OBx98EF6vF6dPn4ZKpcKdd97JTWR2Op3Ys2cPVCoVfv7zn2PJkiViL4EQQgjpk7jFzFSjAPToeBSG+gQAYBiG6hQIkUBYJjPffffduOWWW1BRUYG8vDykpwenKBYXF+PBBx/E1VdfjYKCgnA8PCGEENKLj2WFxcwhnv0WDF2L4dQjfsejFJFbo/KNzU/GkXMtAPx1Cotn5IXtsQghfmEJFADAZDJh+vTpvb4fFxeHu+++O1wPSwghhPTJanPB6/PnthvjtdDr1CHdHz/1yBLLOwoiBl8DoR0FQiIvbIEC4G+LunPnTlRUVMBut8NgMKCwsBALFizA0qVLBS1UCSGEkHBqEzHtCOjd9Yhl2Zj8XDOHuTVqQFF2IrQaFdweH5otXTB3OMP6eISQMAUKra2t+MEPfoCDBw8CAFhed4J9+/Zh8+bNmDlzJv7yl78gKysrHEsghBBCBPj1CWJMD47TaaDXqeF0eeHx+tDp9CAhThvy/SqNOYxTmfk0ahVG5yShtNoCwN/9aO6EzLA9HiEkDIGC0+nEXXfdhdLSUsTHx+OKK67ApEmTYDAYYLPZcOLECezYsQOHDx/G9773PWzevBk6nfg9lwkhhBA+foqMGDsKAJCcoEOjywHAn34Ui4EC//ca7jP8YwtMXKBwrsZCgQIhYSZ6oPDaa6+htLQUEyZMwHPPPdfnjkFDQwPuvvtunDlzBm+++Sa+9a1vib0MQgghREC4oyBOoGAy6tFo9gcK7TYn8mKsZWfPYWv8Au9w8A9eqwRAg9cIiQTR26Nu3boVKpUKTz75ZL9pRdnZ2XjyyScBAFu2bBF7CYQQQkgvrVbxZigE8OsULDE4S8FicyKQXJwUpmFrfGNyTQhUgVQ1dsDh9IT18QiJdaK/osvLy1FSUoKioqIBb1dcXIySkhKUl5eLvQRCCCGkF7GLmYEeQ9disPORsONR+AuLDXEa5GUYAQAsC1yobw/7YxISy0QPFFiWhVo9tJZzarUabrdb7CUQQgghvQiHrYlzUCuYpWCPvVkK/I5H4WyNyje2gNcmtbtegRASHqIHCoWFhTh37hyampoGvF1jYyPKysqQn58v9hIIIYQQgS6XB/Yuf5qKRs0gMUGcJhqxPp2ZP5U5Uq1KhfMUqE6BkHASPVBYvnw5PB4PfvzjH8Nms/V5G5vNhh//+Mfwer1Yvny52EsghBBCBFp7DAVTiTTvQDh0LQZ3FNojM5WZb1x+Mvf1hbp2eH2+iDwuIbFI9K5Ha9aswTvvvIMDBw7gqquuwsqVKzFp0iQkJCTAZrPh9OnT2LJlC1paWpCbm4u1a9eKvQRCCCFEQFCfIFIhMwAkJ/BTj2JvR0GK1KPUpDikJenR2u6E0+1FdZMNo7KTIvLYhMQa0QOFxMREvPTSS/je976HiooKvPzyy71uw7IsiouL8cwzzyAxMVHsJRBCCCECYg9bC4j5YmYJUo8Af5vU1lONAIBz1VYKFAgJk7BMZh41ahTef/99bN26Fbt27UJFRQXsdjsMBgOKi4uxePFiXHPNNdBqY28wDSGEkMgLR8cjAEiI10KtYuD1seh0euBye6HTDq2hRzRo64hs16OAsfkmfBkIFGosWD63IGKPTUgsCUugAAAajQarVq3CqlWrwvUQhBBCyJC0WnkHtCIGCiqGQVKCjkvBsdpdyEiOF+3+5czj9aHdxhu2FsFAoYRXp3CuxgqWZcGIVHdCCAkK72SUQVRXV2P9+vVSLoEQQkgMaA3TjgIAJPPTj2KoTkEwbC0h/MPW+PLSExCv95/rtNpdaLY4IvbYhMQSUXYUOjo6sHXrVpw/fx4sy2Lq1Km4+uqrodP13X7O4/Hg+eefx3PPPQenM/a6RBBCCImscBUzA4ApQQ+gAwBgjaHOR4JC5gh1PApQqRiU5Jlw/EIrAP+uQmaKIaJrICQWhBwofPjhh/j5z38Oh0MYzT/zzDN47rnnUFxcLPj+l19+iQ0bNqC8vBwsy1KdAiGEkLDy+dge3XnEPagVtkiNnR0F/u80JUIdj/jG5vMDBQsunZoT8TUQEu1C2ic8ceIEfvjDH6KzsxNqtRolJSUYO3YsAKCqqgrf+973uMnLLpcLv/rVr7B27VouSJg7dy7+85//hP6/IIQQQvphtbvg9fmTZBINWtGLjQVD12JoOnMbf4ZCBOsTAmjwGiHhF9KOwgsvvACfz4dp06bhz3/+Mzdl+cKFC3jggQdw/vx5bN26FUuWLMF3v/tdfP3112BZFunp6fjJT36Ca6+9VpT/BCGEENKfViu/Nar4Z76TjbxZCjG0o8BvjRrp1CMAKM5J4jpO1bd2oqPThUSDOBO3CSF+Ie0oHD9+HGq1Gn/5y1+4IAEARo8ejT/+8Y9gWRafffYZfvSjH+Ho0aMAgJtvvhkfffQRBQmEEEIigl/InB6GQEG4oxA7gYIw9SjygYJOq8aonOAsprJa2lUgRGwh7Si0tLSgsLAQeXl5va6bOHEiMjMz8dlnn8HtdiMjIwN/+MMfcMkll4TykIQQQsiwtLWHd0fBxNtRsMRQMTM/9ShSU5l7GpufjPO17QD86Uczx2ZIsg5ColVIOwpdXV1ISUnp9/rMzEy4XC4UFhbi7bffpiCBEEJIxAlbo4p/5jtW26Oa+alHEuwoAMDYPH6dgkWSNRASzUJuejzQgBOdTgeGYfCzn/0MWVlZoT4UIYQQMmyCM99h2FFI4qUetdtd8PnYAW4dHTxen6AeI5LD1vjG8AqaK+o74HJ7JVkHIdEqItNR5s+fH4mHIYQQQnppsYZvhgIAaNQqGOP9rb5ZFujojP5dBavNJdmwNb4kgw45af75CV4fi/L6dknWQUi0isgrm2YlEEIIkUpbGKcyB8TaLIVwzqUYLmqTSkj4SHMKgBBCCIkAh9ODTqcHgP/Mf6IhPCeukmOs8xG/NaoUHY/4xuYnc19ToECIuEKezOxyuVBXV9fvdQBQX18Plu0/ZzM3NzfUZRBCCCG9tPUoZB6ori4USQn8WQrR3/lIDh2PAvg7CmW1VvhYFqowPc+ExJqQA4UTJ05g6dKlA97m8ssv7/c6hmFw6tSpUJdBCCGE9NIa5taoAfzOR5YY2FEQpB5JMGyNLyM5HqYEHax2FxxOD+qa7cjPNEq6JkKiRcipRyzLhvTP5/OJ8f8ghBBCemnlnfkORyFzAH+WQnsM1CjIKfWIYRiU5FObVELCIaQdhU8//VSsdYRk7969ePbZZ1FaWgq3243Jkydj/fr1WLRo0ZDvw26344UXXsCHH36ImpoaxMfHY9asWbj33nsxderUMK6eEEJIuESikBkQTme22KM/9Ui4oyBt6hHgr1M4VNoMwF+nsGRWvsQrIiQ6hBQo9DWROVRnzpxBR0cH5s6dO6Tbv/POO3j44Yeh0+kwb948+Hw+7N+/H+vXr8eGDRtwyy23DHofFosF3/72t1FaWoqsrCwsXrwYVVVV+Oyzz/DFF19g06ZNmDZtWqj/NUIIIREmTD0K35lvwdC1GNhR4AcKUu8oAD07H1mkWwghUUZ2XY82bNiAO++8c0i3bWxsxGOPPYbExET8+9//xvPPP48XXngBr7/+OoxGI37zm9+gsbFx0Pt54oknUFpaihUrVmD79u14+umn8d577+EnP/kJXC4XHnnkkVD/W4QQQiTQZo3QjgIv9cga5TsKXp8PFl7BdrJR+kChMMsIvVYNwJ9u1sp73gkhIye7QAHAgB2S+DZt2gSXy4U1a9Zg3Lhx3PenTZuG9evXw+l0YvPmzQPeR11dHf773/+ioKAAv/vd76DTBc8KrVu3DpMnT4bD4UBbW9vI/jOEEEIk0ypB6pHV5hry55gS+f9//q+TEnTQaqQ/lFCrVBidm8RdPldrkW4xhEQR6V/dIdizZw8AYNmyZb2uC3xv9+7dA97HJ598ApZlsXr1akGQEPDOO+9g27ZtSE1NFWHFhBBCIsXr88HcEUwDCmfqUZxODZ3W/5Hq8vjgcHrD9lhSa5NZ2lEADV4jRHwht0eVCsuyKCsrg0qlwujRo3tdP2rUKKhUKpSVlYFl2X57Zwdas06dOhV2ux0ffPABTpw4AY1Gg0suuQRLly4NW99tQggh4WO1ueDrPvXtP/OtDttjMQyD5AQ9miwO/2PbnTDEKfYjdkD8AnGppzLzjS1I5r4uo0CBEFEo9l3MarXC5XIhNTW1z50AjUaDlJQUtLa2wm63w2jsu6dyVVUVAH9B88qVK1FbW8td99prr+GSSy7B008/3e/Ph0qn0yAjIzEs9x3L6HeqTPS8KZccn7tmXlFxVqoh7GtMT4nnAgVGo5z39uGu030qWPuXl5kom//nRYlxUL35NXw+FjXNNhiMcUiID88kbjmQy++dDJ+SnjvFph45HP434/j4+H5vExfnz0e12+393qajowMA8PDDDyM5ORn/+te/cOjQIbz++usYP3489u3bh8cee0zElRNCCImEZrOD+zojpf/PCrGk8CYU88+6R5sWC6/uIzn8v9ehMsRpUdxdp8CywJlKqi0kJFSK3VFQqYYe4wxUVOZy+c84abVavPzyy0hK8r/JzJ49Gy+88AKuvPJKbN26Fffddx+Ki4tDW3Sfj++B1eoY/IZkSAJRenNzh8QrIcNBz5tyyfm5K68xc18b9ZqwrzFOG/xcqq63ornZNMCtpTfS5662sZ37WqeS13NfnJWI891pRwdP1qMwzSDxisQn59ccGZiUz53JFA+dbviH/YrdUTAY/C9+p7P/NnRdXV2C2/YlsOvwjW98gwsSAjIyMnD55ZeDZVkcOHAg1CUTQgiJoDb+VOYIDAUTzFKwR+8sBcGwNRnVKADCOoVz1VSnQEioFBsoGI1GGAwGmM1meDyeXtd7PB6YzWbo9fpeAQBfoJtRf8PjAt83m819Xk8IIUSehMPWwh8oJAlapEbvLAVB1yMZTGXmK8kL7uJcqG+Hx+uTcDWEKJ9iAwWGYVBSUgKv14uKiope15eXl8Pn8wnmK/QlcH1TU1Of1zc3+0fCp6WlhbZgQgghEcWvE0gzhf/MN3/wmCVKpzP3HLaWIoNha3wpiXpkJPuDF7fHh8oGSs8hJBSKDRQAYOHChQCA7du397ou8L3FixcPeB+LFi3ibt9zZ8LlcmH//v0A/DULhBBClCPSOwqCoWtRmnokGLZm0Mpi2FpPY/OTua9pngIhoZHfK3wYbrjhBuj1ejz//PM4ceIE9/3jx49j48aNiIuLw+233859v6qqCufPn+c6HQHA/PnzMWHCBFRUVOC3v/0tvF7/kByfz4c//OEPqKmpwaWXXtrnrAZCCCHy1Nnl4Yae6TQqJEagTSZ/RyFaU4+Ew9bklXYUMIaXflTVRDsKhIRCsV2PACA/Px8PPfQQNmzYgFtvvRUXX3wxAGD//v3weDz4/e9/L0gZWrNmDWpra/HEE0/ghhtuAACo1Wr8+c9/xp133olNmzZh586dmDhxIs6ePYuqqirk5ORgw4YNkvz/CCGEjExbj92ESAzONBq0UDEMfCwLe5cHbo9PlmfcQyEoZA7jpOtQ5KUncF/Xt3RKuBJClE9272ATJ07EnDlzhnz71atX49lnn8X06dNx+PBhnDhxArNmzcJLL72EVatWDek+xowZg3fffRd33HEHAGDXrl3weDxYvXo13nrrLeTn54/o/0IIIUQa/LSjtAgd0KoYBkkJwZ0Lqz36dhXMvN9risw6HgXk8Fqi1rfZuenchJDhC2lHoa+hZ4HvDQf/5x999NFh//ySJUuwZMmSQW+3Y8eOfq9LT0/HI488gkceeWTYj08IIUReeu4oRIrJqOcKma12F9JN8hlIJgZh6pE8A4VEgw7GeC1sDjdcbh/a2rui7nkgJFJCChRmzpwJlUqFrVu3csPIZs2aNaz7YBgGp06dCmUZhBBCiECLoONRBAMFQYvU6CtobhOkHsmzRgHw7yoECpnrWzspUCBkhEJOPfL5hD2KWZYd1r+eP08IIYSEKtLD1gIEQ9eisKDZ3MHbqZHpjgIA5KTx6xTsEq6EEGULaUfh008/BQBkZWX1+h4hhBAilUi3Rg0wJUT3LAV+ACbX1CMAyOXVKdS1UkEzISMVUqDQ1zTj/iYcE0IIIZHSJkExM9BjRyHKZil4fT5BOpWcA4UcXuejhlbaUSBkpGTX9YgQQggJhcfrE7TxjGS//6SE6J2l0G53cx2EEg1aaDVqiVfUvxzaUSBEFCHtKDz99NOiLOK+++4T5X4IIYQQi83JTQ82GXURnWXA31GwRNmOQpsCWqMGpCbFQadVweX2weZwo6PThUSDbvAfJIQIhBwoDHWIDcuyvW4b+B4FCoQQQsQiVSEz4A9MAtqjLFAQDFuT6VTmABXDICc1AZWN/snM9a2dFCgQMgIhBQpXXHFFn9+vrKxEaWkp1Go15syZg/HjxyMpKQldXV04f/489u7dC5fLhUsvvRSTJk0KZQmEEEKIgFSFzICwPWq73QUfy0IVganQkSCYoSDTqcx8OekGLlCoa7VjXEGytAsiRIFCChSeeuqpXt+rqKjAN7/5TYwfPx5PPfUUioqKet2msbERDzzwAA4dOoQHH3wwlCUQQgghAlIVMgOAVqNGQpwG9i4PvD4Wtk43khKi40y2YIidzFOPACAnlTehuYXqFAgZCdETN//85z/D4XDgmWee6TNIAPztVJ966il4vV78+c9/FnsJhBBCYlirVbodBcA/nTkgmjofKSn1COgxS4E6HylCVWMH/vjGEbz2SSlsDrfUyyEIQ6Dw5ZdfYty4ccjPzx/wdllZWRg3bhy+/vprsZdACCEkhrXyahTSpQgUEqJz6Fpbh3KKmQFhi1QKFJThnd0XcLrSjB2Ha/Hoxv34uqxF6iXFPNEDBZZl0dHRMaTbtra2QqvVir0EQgghMaxNwhoFQFjQHE1D1wQ7CgqoUchKiefqQ1rbnehyeSReERlMRUPw+NFqd+HJt4/hpQ9Ow+Gk504qogcK48ePR01NDbZv3z7g7TZv3oyGhgZMnTpV7CUQQgiJUSzLooVfo2CKfKCQzJ+lYI+OHQWfj4WlQxnD1gI0ahUyU+K5y41tDglXQwbT3unqs1PYnmP1+MUL+3G6ok2CVRHRA4U777wTLMvihz/8IZ555hlUV1cLrj9//jx+97vfYcOGDVCpVFi/fr3YSyCEkH453V7sO9mAfScb4POxUi+HiKzT6YHT5QUA6LQqJMSF1LNjRPg7CtYo2VGwdndwAgBjvLyHrfEJB69R+pGc1TUHn5/c9ATMnZDJXW5td+KP/zqKTdvOwun2SrG8mCX6O+jy5ctx11134cUXX8TTTz+Np59+GlqtFvHx8XA4HHC7/cUpDMPg5z//OebOnSv2EgghpJe29i7sOFyLXUdrYe/yb2M73V5cNiNP4pURMfELmdOS4oY860dM/BqFaBm6xq9PUELaUUBuegKOnPPnuVOdgrzVtgSfn+KcRKxbMQmzTzfi1Y9LuffsTw/V4MSFVqz7xiSU5JmkWmpMCcuplp/85Ce45JJL8Pzzz+Pw4cNwuVxwufxvljqdDvPnz8e9995LaUeEkLC7UNeObQercfBME7w9dhBOXGijQCHKSDlsLUDQ9ShKipnN7crqeBTA31GgFqnyxg8U8tKNAICLJmZhXEEyXv7wDI6dbwUANJodeOK1Q7j64iKsWlAc0cnrsShse7ILFy7EwoUL0dnZibq6OnR0dCApKQl5eXmIi+v/Taa1tRVOpxO5ubnhWhohJMp5fT4cKm3GtoPVOF/b3u/tqhqH1niBKIeUw9YCkvmpR1Gzo8AbtqaA+oQAfotUSj2St9pmG/d1XkbweUs26vE/N03D58fq8can59Dl8oJlgQ++rMSx8y34zjcmoTArUYolx4SwJ28aDAaUlJQM+fb3338/jh49ilOnToVxVYSQaGTvcmP313X49FCN4MxywLiCZCybnY9/bDkJj5dFi7UL9i43EuKo+1q0kHLYWoCwPWp0BApmhaYeZfOGrjWZHfB4fdCo6Qy03LAsi9pm/o5CguB6hmGwcHouJo5KwYtbT+NMlQUAUNNsx69fOYhrLx2Fay4pglpFz63YIl/lNQQsSwWGhJChq2+1Y/uhGnxxvB4ut09wnVrF4OJJWVg+pwBF2f6zTlv3VaKyezehqqEDE0elRnzNJDzksKMQr9dAq1HB7fHB6fbC4fQgXi/Lj9shMyt0RyFer0FKoh7mDie8PhbNFodgl4HIg8XmQmd3C9TAc9aXdFM8fnTbTHx2uBZvfVYGl8cHr4/Ff/aU42iZf3eBnl9xKfudixASs1iWxalKM7Z9Vc3lrvIlGrRYMjMPS2bmCXLGAaAwy8gFCpWNNgoUogg/UEiXoDUq4D/7aUrQoaW7sNpqdyk+UODv0KUoqEYBAHLTDFygU9fSSQeSMlTbIkw7GqgJgYphsHR2PqYUp2Lj1lNceml5fQd++dJXuHHRaCybW8DN0CChUfY7FyEk5rjcXnx5qhHbvqoWFL8F5GckYPmcAsybnNVvC8ei7ETsOVYPAKhqojqFaMI/oJVqRwHw51VzgYLNKUiBUSKlph4B/jqFkxVmAEBDmx1AhrQLIr0MlHbUn6xUAx5ePRsfHajCu3suwONl4fb48K8dZTh8rgXrVkxERnL84HdEBkSBAiFEESw2J3YcrsXOI7WwOdyC6xgA00vSsXxOPiYUpQzaEpNf+FbVaBvglkRJPF4fLN1njhlImyIjqFNQeEGzz8cKJkynGBUWKPAOPOuo85EsjSRQAACVisE184owbXQaNr5/ClVN/vfzs9UW/OKFA7hlaQkWT8+VpE1ytKBAgRAiaxUN7dj2VTUOnO7d3lSvVWPB1Bwsm5OPrGGcsS3IMIIBwMJf3+B0e6HXKmOAFOmfpcOJwF+IyaiTtGiVP3TNovCCZqvdxb32jPFa6BT2Wsnlt0ilzkeyJEw9Mg775/MzjXjkzjnY8kUFtu6rhI9l4XR78c+PSnH4bDPWXj1RUbU1ckKBAiFEdnw+FkfONWPbV9U4W2PtdX1akh5LZxdg0fQcGEbQsUivUyM7zYD61k6wLFDTZMMYGt6jePz6hDSJ6hMCBLMU7MqepcAvZE5V4MEWvyahvq0TLMvSGWYZ8bGscIZCxshqSDRqFa5fNBozxqZj4/unUN/q3z06caENj27cj9VXjMO8SVn03A8TBQqEENno7PJgzzF/e9MW3oTdgJJ8E66YU4CZ49JDboNXlJXIfZBUNXZQoBAFBIGChPUJQHS1SOXXJyjxrGyiQYuEOA3sXR44XV6YO5yS1q+E6oX3TuDzo7W4YdFozJucLfVyQtZq7eK61SUatEgy6Ab5iYEV5yThsTVz8c7uC9j2VTVYAJ1OD57fcgqHS5txx1XjQ36MWEKBAiFEcs1mB/6zqwyf7K+E0+UVXKdWMZg7MRPL5xSgOCdJtMcszErEl6caAYDrgESUrVUmhcxAj6FrCp/OLJcC8ZFiGAY5aQkoq/XvTta12hX5/wCAJnMn3t11HgDw1s7zUREojLQ+YSA6rRq3Lh2LmWPT8cLW09yJp0Nnm3G2xoI7r5qAWeOoqH0oKFAghEjK4fTg4b99jvYeBZ/GeC0um5mLJTPzw3IWszArmAdbSQXNUaFNVjsKwb9Zi8KLmZU6Q4EvJ83ABQr1LZ2YUpwm8YpGpqIheFLD3OGE1e4S7F4pUaj1CQMZX5iCDesuwpufncfOI7UAgI5ON55+5zgumZyN1cvHjih9NZZQoEAIkdTpSrMgSMhNT8DyOfmYNzk7rAXG/M5Htc02mtgaBVqt8mnhKdxRUHag0Kbw1COgR52Cgguae+5+Vjd2wDRamUFPgGBHYYT1CQOJ02nw7SvHY9bYdLz04Rku8N13sgFnqsxYe80ExQaOkUCfioQQSZ2pNHNfL5mVh1+vuwiLZ+SFvQuRMV7LnXX2eFnU9TGTgSiLnGoUEg06BGombQ43PF7fwD8gY20dyk49AoDcdH7nI+W2SO3ZzjnQDlTJBIXMIqUe9WXK6DRsWHcRLuGla5k7nPjz5q/x0f6qsD2u0lGgQAiR1JmqYKAwsyQ9oh0p+OlHNE9B2ViWFeTSS931SKViBAWTPVPrlMTcruyuR0B07CiwLIvKBuGOQpXC66u8Pp/g+QhnoAAACXFarF85CfdePwWJhmDK0Tu7L6C9U7mv0XCSXaCQnp6OnJwcqZdBCImA9k4Xarq3ndUqBiX5ke08VJTNH7ym7A/cWGfv8sDp9hfC63VqGPTSZ9byZykodeiaf9haMFBIVmigkGaKg07jP+Rp73T3GtqoBOYOZ691K/0ER5PZAY/XP6MjJVEfsXqB2eMz8et1FyO/O9XJ4/Vh99G6iDy20oQ1UPB6vTh27BjeffddvPbaawAAt9uNqqr+t3ieeuop7NixI5zLIoTIxNkqC/f1uMIUxOkie3DHr1OgzkfK1rOQWQ690gUFzQrtfNTeKRy2ptTBhCqGQXaqsgev9RUUNLZ19uoUpyThrk8YSFKCDlfPK+Iuf3akVtEpguEStkDhn//8JxYvXoxbbrkFDz/8MH7zm98AAKqrq3HVVVfhgQcegM2m7EiYEBKa07y0o6kl6RF//CJeoFDVZIOPZQe4NZEzfiGz1PUJAaYoKGiOho5HAdlpyq5T6GvXkwVQ06zcY6lI1Sf0Z+6ETK5rlLnDicNnmyO+BrkLS6Dw85//HE888QRaWlqQlJSEuLjgm3ZLSwt8Ph+2bduGO+64Aw6HIxxLIIQoQClvR2HamMgHCslGHZK681SdLi+azfR+pFTCQmZ5HNAmR0HqEX+nRqn1CQG5vDoFJTYv4O966ng7O0pOm6zlBTl56eK2Rh0KjVqFy2bmcZe3H6qJ+BrkTvRA4eOPP8a///1vZGRk4Pnnn8f+/fsxceJE7vqLLroIr776KjIyMnDmzBm88sorYi+BEKIAVruL+7DWqBmMH5US8TUwDEPpR1FCjkPB+KlHSh26xu94lCKT3+tI5aTzC5qVvaMwf1qwllPJnY8EOwoRTj0KuGxGLtQqf6piWY0VFQ3tkqxDrkQPFN544w0wDIMnn3wSCxcu7PM2c+fOxTPPPAOWZfHhhx+KvQRCiAKU8tKOxhelRrw+IYACheggp9aoAfxBWBZKPZJcTppyaxRsDjc3eVyjVmHxzHzuOqUWNLs9PjS2+XdxGQh3fCLJZNTjoomZ3OVPD9KuAp/ogcKpU6dQUFCAmTNnDni7qVOnoqioCJWVlWIvgRCiAPz5CVMlSDsKEHY+UuYHLhEGClIPWwtINvJ2FOwK3VGIotSjrBQDN9ui1drFdclSAv5uwqicRIwtSOYu1zTb4PUprwi3oa2TqwtLT46DXiddofyyOQXc1/tPNyq6nbHYRA8UnE4nDAbD4DcEYDRGPh+NECIPp/n1CRIUMgfwZylUNnSApYJmRRLsKEg8QyEgGtqj8ncUlB4oaDUqZCbHA/AXATe2KSf9iH8SY3ReMkxGPbfD4/b40NCmvPoqqesT+IpzkjAmNwmAfwDnrqO1kq5HTkQPFHJyclBeXo7OzoFfgDabDWVlZcjOzh7wdoSQ6GPucHIf0hq1CuOLIl+fEJCRHI+47jNZNodbcGBElMHt8XFdhRhGeCZfSvzUI6vNpcgg1BxFNQqAcPBanYLSj/hpkaPz/PNmCjODB9fVCkyblEN9At/SOcF0rh3UKpUjeqCwZMkSOJ1O/O53vxvwdr/97W/hcrmwePFisZdAZMBic+LdPRfw47/vxc/+8aWgdSEh/PqEkrwkQQePSFP1KGim9CPlMfMHghn10KjlMUtUp1Ujvnvwm9fHKm7Il49lo6pGAQBy0nl1Ci1K2lEIBgJjugOFAoW/b0k5Q6Evc8ZncruAVpsLh0qpVSoAiF49uH79evz3v//FW2+9haqqKlx99dWwWq0A/PUL58+fx5tvvomDBw8iKSkJd911l9hLIBJhWRbn69rx6aEaHDzTxA3pAYCPDlRh9fJxEq6OyMkZXqAwoVC63YSAwiwjzlZbAPg/kGeMlS4VigxfmwxnKAQkG3VwOD0A/OlHiQbdID8hHx324LC1hDiNYoet8eWk8jsfKWNHwenyoqG7SxPDAKNy/CkyRby0yaomJe4oyCf1CPDvbi+ZkYd3Py8HAGw/VI2LJ2VJvCrpiR4opKam4vnnn8e9996LL7/8Evv37+euu/HGGwH4DyhTUlLwt7/9DVlZ9CQondvjxYHTTdh+qAaVDX2/WR0sbcJty8ZCJYNpqUR6Zyot3NcTJEw7CiiizkeKJsf6hABTgo5rxWm1uZCfIfGChkHQGjVRXr/XkRLsKCikRWp1sw2B027ZqQbEde9S9dxRYFlWFhPJh8Lp8qLZ4n/d9pyaLaXFM/OwZW8FvD4W52vbUV7fjuLuwCxWhaUf4eTJk/H+++9j8+bN2LFjB8rKymC32xEfH4+ioiJcdtlluP3225GamhqOhycR0tbehZ1Ha7HraB06OntvqY/NN6GuxQ57lwdWmwtlNVaM43VqILGprb0LTRZ/4Z1Oo5LFm7Aw9YgCBaWRY8ejABOvXsKisFkKwtkU8vq9jhR/R6GhrRNenw9qlTxS1frDf0/in9RIN8UhXq+Gw+mFzeGGxeZSTHoYvz4kKzUeWo08ngNTgg4XTczCvpMNAIDtB2uwfuUkiVclrbA1LjcajVi3bh3WrVsXrocgEmBZFudqrNh+qAaHS5u51mYBGrUK8yZlYensfBRlJ+KfH53BzqN1AICvzjRRoEAEaUcl+SZZfEDkpBmgUavg8frQ2u6EzeGGMV4r9bLIELXJcIZCgKCgWWGdj8wd0dMaNcAQp0GyUQeLzZ9W1Wzpks3Z7P7wd+r5JzVUDIOCzEQubbKysUMxgUINv+NRhvRpR3zL5uRzgcKB0424eckYQcAfa0T/hH7wwQexa9cu+BTY05f0z+X2YvfXdfjlS1/hd5sO4+CZJkGQkJqkx42LR+NP987HXSsmcr3p504IDjE5WNrUK7AgsYefdjReBvUJgD/AzecV01H6kbK0ynAqc4BgloLChq61RVkhcwC/85ES6hT4hcr8ugRAuZ2P6vgdj9KlL2TmK85Jwpg8/06318diV/fJzlgl+o7CBx98gA8//BApKSlYsWIFrr32WkydOlXshyER0mrtwo4jNdh9tA72Lk+v68cXJGPp7HzMHJfe5/btuMJkJBq06Oh0U/oRASDcUZgok0AB8J+pq+g+c1fV2IHJoyg1UilaZVzMLNxRUFbqkWCGgsx+r6HITUvA6e6Bj/WtnZg5VuIFDcDj9QmKfvl1Cf7L/IJm5XQ+EnQ8klmgAADLZhfgfO1JAMBnR2pxzSVFsummFmmiBwrf//73sXXrVlRWVuLVV1/Fa6+9hlGjRmHVqlVYuXIl8vLyxH5IIjKWZVFaZcH2QzU4cq4ZPTcBdBoV5k3OxtLZ+SjIHHjLUK1SYfa4DEo/IgCAFosDLd0HdXqtGqNyEgf5icgpyk4EvvZ/rcRWg7GKZVl5px7xhq5ZFLajYOb9XqNqR0HQIlXeOwp1LXZ4vP4P4bSkuF4pkYWZyqyvktsMhZ5mj8/gUtSsdhcOnmnCvMmxOfdL9PDogQcewMcff4y3334ba9asQWZmJsrLy/Hkk09i2bJl+Na3voW33noLHR3K+YOOFU6XFzuP1uIXLx7AH944gsNnhUFCWlIcvrlkDP7v3kux5uoJgwYJAZR+RAJO83YTxuabZHWGpueEZqIMNocbLo8/1TVer4YhLmyldyPCz21WWo1CW5TuKAiHrsm78xH/pEVhVu/P3LyMBKhV/k5HzZYudPax8y83nV3BwZYatQqZKfESr6g3jVqFJTODJ7a3H6qRcDXSCts76pQpUzBlyhQ89NBD+Oqrr/D+++/j448/xsGDB3Ho0CH8+te/xmWXXYZrr70Wy5YtC9cyyBA0WxzYcbgGe76uR6ez95vMxKIULJudj+kl6VCpht96jdKPSIDc2qLy5WcYwTAAywKNbZ3ocnkQp5PXQSfprU3G9QlAz+nMykk96jVsLYqKOXPS+C1S7bJuK1rZT8ejAI1ahdz0BFR3px3VNNtk//nK303ISTPItuvU4hn+VqkeL4sLde04X2fFmFyT1MuKuLB/CjIMg4suuggXXXQRfvGLX2Dv3r3Ytm0btm7dim3btmH79u04depUuJdBemBZFqcqzfj0YA2+LmtBz3P8Oq0K86fkYOmsvJA7EqhVKswen4mdR2oBUPpRrGJZFqXVwR2F8YXJ0i2mD3qtGrlpCahtsYMFUNNkR0l+7H0oKE2rjNOOAP+gskBHrS6XF06XF3qd/AeXdXS6hcPWFLDmoTIl6BCv18Dh9KDL5ZV1W1F+OlFhdt+pmoWZRi5QqGzskP3nq9wmMvcnKUGHiydm4YsT/g5Inx6qiclAIaJh3IkTJ7B//34cPHgQnZ2dYFkWer08X5zRyuny4rPDNXhk43786V9HcbRHkJCRHIdbLy/Bn++9FN++crxobcvmjg9OGaL0o9jUbHFwZ3/jdGqM6udDT0qC9CMF5fvGMjkXMgP+k2VKLGhuE9QnyO/3GgqGYZDL21Wok2nnIx/LCgqU+9pRAIQtU6sVUF8l90JmvqVz8rmvvzrdpKhdQbGEfUfh1KlT2Lp1Kz788EPU19eDZVmoVCrMmzcPq1atwhVXXBHuJZBuHq8P//evIzhf197rusnFqVg6Ox/TRqeNKL1oMJR+RM5UWbivxxUky3K7uTArEftONgKgQEEp5DxsLSDZqOPWabG5kJki7779QM+OR/L8vYYiJy2B+yysb7HLsstZs9kBp8sLAEg0aJHMK4znKxR0PpL/+xa/i5PcZij0NCo7CSX5JpTVWOH1sdh5tA6rFhRLvayICkugcP78eWzduhUffPABKisrAfjTDkpKSnDttddi1apVyMrKCsdDkwF4vD5BkKDXqXHpFH/3In5xVzj0Sj86TelHseZMZTDtaIKM2qLyFdGEZsWRc8ejgCQFDl0zR+kMhQBB56M2eRY0809WFGYl9ltHwW8sUttsh8frk1WjiJ5qZTxDoS/LZuejrMYKwN8qdUWMtUoVPVC49tprce7cOQD+4CA9PR0rVqzAqlWrMGlSbI/BllqcToM7rxqP4xfaML4wGQum5iBeH7lizbnjM7hA4eDZJty2fCxUMi0gI+JiWVbQ8WhCUbJ0ixkA/8ycEj5wibyHrQXwh65ZFJK6wA/AomUqM59g6JpMW6QKA4X+z7wb4rRIN8WhxdoFr49FXYtdkI4kJ+12Fzo63QD8dWFpJnm+ZvlmjctASqIe5g4n2u0ufHWmCZfEUKtU0Y8Sz549i7i4OCxduhTXXnstFixYALU6eoqglG7xjDwsniHNLItxhclIMmjRTulHMafR7OCm0sbrNYLe33LS8wO3ttnOTRkn8qSEHQX+LIV2Re4oyPP3GopcQecjee4oCCcyD/w+VJiVyM2oqW6yyTZQqG0O/p9y0xMUcbIw0Cr1nd0XAADbD9bEVKAg+qmy3/72t/j888/xpz/9CYsXL6YggXDUKhVmjQ/OVPjqdJOEqyGRxE87Gl+QHJY6GLHwAwNKP5I3t8fLpfKoGAbJiX3ncEuNX8ysmB0FfqAQhTUK6aZ4brfQanehs8st8YqEWJYVvP8MGihkKqMRQ43MB631Z9GMXO7vpbze3yo1VogeKNxwww0wGuVdnEKkIxi+drYJPh91P4oFZ/hpRzJri9pToaBOQf4dRGKZ4GA2USfLAnmgx9A1hUxnjvbUI5WKQXZqcNCX3AavWWzBFJ04nRoZgwwlU0rnozqF1ScEJBl0uHhS8Pjl04OxM4AtbAnqx48fx/nz5+FwOODz+QTXeb1eOJ1ONDU1Yffu3fj444/DtQwiM+MLhOlH52osGC/TwtbBlFaZcbKiDZfNyJNtbrQcsCwr6Hgkt0FrPRVRi1TFaLPyOx7J9zXI71ajhGJmH8sKdj6isZgZ8Ncp1HS36qxvsaMkTz498vnvPQWZxkFTdISdj2yyHSKnlBkKfVk2uwBfHPfPVPjqTBO+uaQkal8bfKIHCi6XC/fddx/27Nkz6G3F+kPeu3cvnn32WZSWlsLtdmPy5MlYv349Fi1aNKSfr6+vx2WXXdbv9bNmzcIbb7wR8jqJ/yzOLF73o4NnmhUZKLS1d+HPb34Nt8eHfSca8Ku7LoYhjqb49qWutZPLy06I0yA/U947jvwt/uomG3w+VtapUrGMX8gs1/oEADAl8HcU5J96ZOt0w+P17/Ya9JqonVCeI+M6haqGoacdAf5gLiFOA3uXBw6nBy3WLmQkD7wLEWksywpbo6bL+7Ogp6LsRIzNN+Fcd6vUXUdrcd3C0VIvK+xE36fdtGkTdu/eDZZlUVBQgMmTJ4NlWeTl5WH69OnIzs4G2z1sa8aMGXj++edDerx33nkHa9euxZEjRzBt2jTMnDkTR44cwfr167F58+Yh3UdgMvT48eOxcuXKXv8WLFgQ0hqJUDSkH+04XAu3x79T1truxGvbSiVekXzx6xPGFSTLvnjNZNRzOeVOtxeNZnkdQJAgwVRmGXdPSUrQIvBX75947Bvw9lJr65D/bAox5PJSX+Q2dK1na9TBMAwj+7RJc4cTDqd/LkRCnKbfuRBytmxOAff1ziPB44BoJvppgg8//BAMw+BnP/sZ7rjjDrhcLlx88cWYOHEi/va3vwEAvvjiC/zwhz9EaWkpCgsLR/xYjY2NeOyxx5CYmIjXX38d48aNAwAcO3YMa9euxW9+8xtcdtllg85sOH36NADgO9/5Dq699toRr4cMjdLTj1xuL3YdrRV878uTjZg2Jg3zJsVOJ4ShKhW0RVXG81yYlYjjF1oB+D+wwz1nhIyMcNiafAMFtUqFxO73PBZAu90t65QFc3t0dzwK4L+uG+S2o8A70B+oNSpfYZYRp7tPzFQ3dWD2+IywrG2k+PMTctMTZJkaNZiZY9ODrVI73fjqTCPmT8mRellhJfqOQnl5OUwmE771rW8BAHQ6HSZMmICvvvqKu82ll16KX//613A4HHjxxRdH/FibNm2Cy+XCmjVruCABAKZNm4b169fD6XQOaVchsKMwefLkEa+FDJ1KxWA2r/vRwTPNEq5m+L481Qh7l6fX91/9+CxaeTnTxJ/rzK9PmKiQgFCQ7yvDM3PET9gaVb4H3kCPgma7vNOP2qJ8KnNAdmo8AseqzVYH3B6vtAvqZnO4uSBYo2YEOx8D4bedluP7lrA+QVlpRwEatQqXzwq2mN92sIbLkolWogcKDocDeXl5gkhxzJgxsFqtaGxs5L63bNkypKamYt++fSN+rEAdxLJly3pdF/je7t27B72f06dPw2AwoLg4tsZyS2kOP/2oVDnpRyzLYvvBau7ytZeOQnp3yoPD6cHG908p5v8SCXXNdtgc/s4dxngtchVSvEYTmpVBCcPWAoQtUuVd0MxPPZLzzkeotBo1Mkz+PH6WBRraHBKvyI//npOXbhzy0McCQUGz/N63+DMUlNTxqKdF04OtUisbOnC+rl3iFYWX6IFCUlISHA7hiy0/Px8AUFZWxn2PYRjk5uYKgofhYFkWZWVlUKlUGD26dzHJqFGjoFKpUFZWNmC0Z7FYUFdXh+LiYrz00ku49tprMX36dCxYsACPPvroiNdHBhZIPwL8XUDO1VikXdAQlVZZuC4ZOq0KV8wtwN0rJ3NnpUqrLfjoQJWEK5SX0z3aosq9PiGgkDdLobKhI+rPGCkRy7KKGLYWwB+6JveCZuGwtegNFICeBc3yqFMQDFrLHvqZ95w0A3cA29bu5E7SyAV/hkK+Qk4a9SXRoMO8ycGUdv7Jw2gkeqAwduxYVFVVoaGhgftecXExWJbF8ePHBbdtaWmBRjOyMgmr1QqXy4Xk5GTodL0LYjQaDVJSUuBwOGC39//iD9QnnDx5En/5y1+QlpaGiy++GF6vF2+++SZuvPFGXLhwYURrJP1TavrR9kPB3smXTsmBIU6LknwTVs4fxX3/P7svoLJBfmdzpMAvZFZKfQIAZJjiEK/3vzfZuzxoa5f3gV0s6uh0c4WEBr2Ge77kKlmQeiTzHQUF7dSEil+nwO/xL6WqYRYyB6hVKsEBeLWMdkN9LIv6HjUKSrZsdj739aHSZkFwHW1Ef2e94oorsH//fqxfvx4PP/ww5s+fj9mzZ0Oj0eDVV1/FihUrUFBQgDfeeAMNDQ2YNGnSiB4nsGsRH99/+6+4OP8bnN1u73cIXKA+Ydy4cfj73/+OggJ/RXtnZyceffRRvP/++/jRj36Ed955Z0TrHIxOp0FGhjxHrYfbsnlF+Ky7Terhc824/7ZZUIvUhjIcv9PGtk4cPRcMaL65fDz3OGtXTcWZagvOVlng9bHYuPU0/vrg4qhtKzgUPh+LczXB6ZWXTM8b9HmR02uhJD8Zx8+3AAAsXR5MKJHP2uQo0s+dpSsYhGamGmT1t9OXXN4Bn9PLymq9PdfS3hkMZMYUpspqrWIbNyqV2wVus7lk8X+t5e1sTB+f1e+a+vr+uKJUVHSfqGq1u2Xx/wH8cypc3YF9cqIeo4vSJF5RaDIyEjF5dBpOXmiF18fiQGkzvnX1xGH9vFKIvqPwzW9+E5MmTcK5c+ewfv16uN1upKenY+XKlWhtbcXVV1+NefPmYcOGDWAYBtddd92IHkc1jAmcA6UNrFmzBtu3b8crr7zCBQkAYDAY8PjjjyMrKwsnT57E0aNHR7RO0r/Jo9O5s2zmDidOl7dKvKKBffBFOQLlBzPHZaCA98GvUavww9WzEadTA/DnYr645aQUy5SNivp2bus7OVEv+H0pwWje8KXzvICHyEOzOZjiOtjUWjngn5k3t8u36QHLsmixBNeXLrNe/GLjvy/VNElfANzl9KC2ex0MA4zKSRrWz/Pfty7Uyed9q7IhmMdflK2sz4L+rOTNUPjoywq43PIohheb6Kc7dTod/vnPf+Lpp5/GgQMHoNX689AffvhhVFRU4MiRI7BYLACApUuXYvXq1SN6HIPBn1fodPa/3dPV1SW4bV/UarUgQOCLj4/HvHnz8N///hcnT57EjBkzRrTWgbhcHlit8iigksLMsencrsK2LyuQFWKHjUCU3tws7par0+XFR/squMuLpuX0egwtgFuXjsXLH54BAHy4twJjc5MwoyRd1LUoxb6jwTStcfkmtLT0/yEcructFBlJwZTGM+WtslqbnEj13JXz6pqMcRrZPz+MN9hvvamtUxbr7eu5a7e74PEGU7ps7Q5If/gcPvHq4Nc1TTY0NrZLOmCxrNbKnZDKTjWgo92Bnn8pA73mUrtr/wDgXJVZFn9nAHCqe3cW8Kd2ymVdoRiTlYDUJD3a2p2w2lz4YM95XDp14FapUn7WmUzx0I0gy0H0HQUAMBqN+OlPfypI10lKSsIbb7yBN954A//3f/+Ht99+G8888wzUavUA9zTwYxgMBpjNZng8vVtVejwemM1m6PV6JCUNLyLnS0/3H+T1LNAm4uB3PzpU2izbjkH7TjWg0+n/O8tMjsfUMX1vmy6cloNZ44K9q1/64LTs85HDhd8WdYJC2qLy8TsfVcoo15f48VsRpysgjz5ZUMws3/cEQSFzFLdGDTDEabmOVB6vDy0Sn7jj1ycMZSJzT/mZCdxwv/qWTtmc5ebXfyi54xGfWqXC5bOCtQrbDlZHZeOLsAQKA5k5cya+8Y1vYMqUKSHdD8MwKCkpgdfrRUVFRa/ry8vL4fP5BPMV+vL000/jgQceQGlp35N1a2r8Z0Wzs2mQVjgoofsRy7L49GDw7PjS2fn9du9hGAZrrp7AdTjp6HTjpQ9OR+Wbx0B8Phal1RbuspIKmQOy0wzQavxvkf7hOvI9uItFbQoZthZgShDOUZDre0KstEbl43c+qpN48NpIC5kD4nQaZKb6/z8+lhUMOZOSoDWqQmco9GXR9Fzuc6Kq0YayWvmke4kl4oGCmBYuXAgA2L59e6/rAt9bvHjxgPdRWlqKjz/+GB9++GGv61pbW/HFF19Aq9Xi4osvFmHFpKee3Y++OtMk4Wr6dqbSzL3Z6nXqQbcWjfFafGdFsEj/2PlW7DxSO8BPRJ+qpg44undgTEYdshSQQ96Tv4MIf/Aa7SrISauCWqMC/veOQA2Tx8v2ObRRDgQdj6J4KjNfDu8Mt9QtUitHMJG5p8LM4M9Vy6DuwuP1oZ4XgEXLjgLg/7y/RNAqtWaAWytTSDUKN910U8gLYBgGb7311oh+9oYbbsDGjRvx/PPPY8GCBdwuxfHjx7Fx40bExcXh9ttv525fVVUFt9uNzMxMJCb6I/VbbrkFn3zyCV566SUsXLgQs2fPBuDvlPSzn/0MNpsNt912GzIy5DUKPZrMnZDJ1SkcKm3G7cvGSZoj2hO/JeqCKTkwxA3+splcnIrlcwqwrbu/8uYdZZhQlCJoxRfNzlRauK8nFqYIBjAqSVF2Isrr/UV4VY02TClWdqeOaCLcUVDGmW+TUY+uNv8Bk9XugjFeO8hPRB4/9Sg1RnYUcnnvy/Ut0u0oeLw+wZn3kewo+H/OyJ10k0PaZKPZAW93WnFakl72rYyHa+nsAuz+uh6A/ximrb1LEbucQxXSs3XixIkR/yzDMGBZNqQDiPz8fDz00EPYsGEDbr31Vu6s//79++HxePD73/8eaWnBD/Y1a9agtrYWTzzxBG644QYAwIIFC7B27Vq89NJL+Na3voVZs2YhJSUFBw8ehNlsxpw5c/DQQw+NeI1kcOMKkpGUoEO73cWlH42XSU57s8WBo+eCRViXz84b4NZCN102Gqcr21DT7G8L94/3TuHn35495CmbSnamSpnzE3rin9Gj2Rjy4XJ70d7p76ilVjGCGQVyZkrQoTEQKNicsjyzauanHikkAAuVXIau1bXY4fEGDqjjRhxIFmQGA4zqRul3FOoE8xOiJ+0ooCDTiAmFyThTZYGPZbHzaC1uWDRG6mWJJqRA4Yknnhj2zxw5ckSwg1BSUhLKErB69Wrk5uZi48aNOHz4MHQ6HWbNmoV77rkHl1xyyZDu46c//SmmT5+O1157DadOnYLP50NhYSG+853v4M477+Q6N5HwUKkYzB6Xwe0qfHWmSTaBwo7DNQhkEk8ZnTqsHQGtRo27V07Ghle+gsfLorKxA//ZcwHfvCy0v3m58/p8OMuvTyhMlmwtoeIXE1LqkXy09ZgcLKcdyIEooaA5JlOP+EPXWjtDPok5UlUipB0BQFGWMPXIx7L91tVFgrA+QX7BsRiWzs7nGnjsPFKHlfNHQasZWbMeuQkpULj++uuHfNvOzk6u2xHLstBqtfje976H7373u6EsAQCwZMkSLFmyZNDb7dixo9/rrr76alx99dUhr4WMjBzTj7pcHm47EQCWze67je5A8jONuGnxGPxrRxkA4KMvqzC1OE3RZ9kHU9HQgS6Xv9NGapIeGQruw56fkQAVw8DHsmg0O+BweqJu21yJWhVWyBwgLGiWZ6Bg7hGExYJkow5xOjW6XF44nB5Y7S5JdqlC7XgUYDLquV16p9uLJrMD2an9t4kPt9rm6Ot41NOMselIS9Kjtd0Jm8ON/aeasGDawPWMShGRHIidO3dixYoVeOONN+Dz+TBr1iy8++67uPfee6HR0IcuCaYfAfLpfrTvZCNXkJuVEo8po1NHdD/L5hZg0ih/YMAC2Lj1FOxdbrGWKTtnKoNpR+MLlFufAPh3hXLTgx+wcigMJECblV/IrJyDWf6OgsXW/wwgqbAs22u3JhYwDCPYVaiXqFNQqB2P+PgFzVLvhtbwfp/5UdTxiK9nq9Tth6KnVWpYA4W2tjY8+OCDuOeee1BfX4+EhAQ89thjeP311zFmTPTkb5HQ+bsfBQvGpe5+xLIstncXIgMDt0QdjIphsG7FJCR0F0G3tTvx6selUfMm0lMpf35CUbJk6xBLIc1TkB2l7igEToYA8txR6HC4uWFr8XpNTO2e5fLrFNoiX9DsY1lUNYmTeuT/eV6dgoQnONweL5rM/t8nA3/b6Wi1cHoudLxWqedqoqNVatgChf/85z+45ppr8OGHH4JlWVx++eXYunUrbrvttnA9JFG4ubw2qQclHr52qsLMtXOLG0JL1MGkJOqx5uoJ3OUDp5vw5anGkO5Tjjxen+DNcaJMak1CUUh1CrIjaI1qUk6gwE9nscpwR8HcHnsdjwIELVIl6HzUbHZwKZuJBm3IuzmCRgwSvm/Vt3YicE4sIyUeem105O33xRivxbzJwZlb/I6JSiZ6oFBTU4O77roLP/vZz2CxWJCWloa//vWv+Pvf/46srKzB74DELH76UbvE6Uf83YQFU3NEObM2e3ymIGfxtU9K0WKJronfFfUdcHZPAk03xSFdwfUJAfzCwCoZdBAhwoJbJcxQCDAZ5b2j0BaDHY8ChEPXIp96VNkj7SjUlM0C/iwFCd+3YqE+gW/Z7GD60eHuVqlKJ1qgwLIsXnzxRaxcuRL79u0Dy7K46aab8MEHH+Cqq64S62FIFJNL+lGjuRPHzrdyl5fyXvihun3ZWGR2Hzw7nF5sfP+UpDsnYjvNb4saBbsJgHBHoa7FDrfHJ+FqCKDc1CNTAr9GQX6BQizOUAgQzFKQIFAQq+NRQFaKgTt7b7W7JNvBqmmJzonM/cnvbpUK+NPJPouCYauiBApnzpzBTTfdhD/+8Y9wOBwoLCzEK6+8gscffxxJSUliPASJEXJIP9pxqJZriTptTBqyROwWEafTYP21k7h6h7M1VnzwZaVo9y81QSGzgtui8sXrNVxw5/WxqG2hXQUp+Vi2RwtP5RzQGuO1UHd3c3M4PXB1777JhbDjkXICMDGkJ8dBo/Y/NxabC50RnpwtVsejAJWKQX5mMPiRqk6hLsZ2FABg2Zxgh8RdR+tk9zofrpACBZfLhT/96U+46aabcPLkSajVatx9993YsmULN/yMkOGQOv3I4fTg8+N13OVlIu4mBIzJNeHaS0dxl//7eTk3/VfJ3B4fztfy6hOiqAVsYTa/ToECBSl1dAYLbhPilFVwyzCMrNOPBNOuFRSAiUGtUiErhV/QHLldBZZlBalHYgQKAFCYKX0jhlpex6NonaHQ04ySdC4l0t8qVdn1iCG9w65cuRJVVVVgWRYqlQrXX389srKyBAPVhmL16tWhLINEkUD60WeH/dt1ByI8fG3viQY4nP7oPzvVgEnFI2uJOpgV84twvLwV52vb4fWx+MeWU/jlmrnQ65Rb6FVe3w5Xd1pOZnK8olJCBlOUZcTB7lS4yoYOYLrEC4phrYLWqMr7GzMl6LgdEavNJas5I4IdhRirUQD8dQqBA9v6lk6MyTVF5HEtNhc6uieNx+nUyEgR52+isMfgtUhzOD1o6X69qlWMpLMcIkmlYrB0dj7e/Mw/P2n7oRosmJaj2FbhIQUKlZWV3H/c5/Ph7bffHtH9UKBA+OaOz+QChUOlzVgdoeFrPpbFp7wuBaG0RB2MWqXC+pWT8diLB+B0edHY1ol/7TiHO6+aMPgPyxQ/7Sga2qLyUecj+WhTaH1CgH/omv9vSG6zFNpiOPUICExobgYQ2ToF/tn+gkyjaJ87wvetyAcK/KLw7FQDNOqIjO6ShYXTc/Du5xfgcvtQ3WTD2WpLRE96iimkQGHu3LlirYMQTiD9qN3u4tKPIvECO1Xehobu/tnxejXmT8ke5CdCk5kcj9XLxuHFD04D8OcyThuThpljMwb5SXk6E4WFzAE9e5L7fKzkk8NjlaA1qgIDhWSZph6xLBvTxcwAkMMbrhhojx0JYg5a48tLTwDDACwLNLZ1osvlQZwucql6/PqE3BipTwhIiNNi/uRs7DzqT2XefqgmNgOFV199Vax1EMKRKv2I3/N4wdTciOQ+Xzo1G8fOt+Bgqf8s1ksfnMHodUkwGZX1Ie32eFFWG6yzUOobYn9MCTokG3Ww2FxweXyob+uMmcI8uRF0PDIp63UCQPDattrls6Ngc7i5jl7xerWiaj/EIlXnI7E7HgXotGrkpCWgrsUOFkBNsx0leZFJpwJisz6Bb+nsfC5QOHy2Ga3WLmRkiBcIRors9oGee+45PPzww1Ivg0jsognB7keHItD9qLEt2BKVAXD57LywPl4AwzD49lUTuOE6NocbL3xwWnFTm8/XtnMFplmphpCHBckRpR/Jg1JnKATItUWqcDdBeb9XMWSnGhDYJ2yyOCLWCrmyQfxC5gBBnUKE37dqm3mtUdOjvzVqT3kZRq6pB8sCO44ocwCb7AKFXbt24d1335V6GURiY/OF3Y/OVlvC+nj82oRpY9IE3S/CzRivxboVE7nLJy60YcdhZfVe5qcdTYyStqg9FVGgIAuKL2bmpx7JKFDgB2DRGOgPhU6r5iZ9s6x/pk642RxubpdMo2ZET9ERdj6KbJ1CDW9HIT8GdxQAYNmcYOfE3Ufr0OWKbNtdMcguUCAE6GP4Wmn4hq/5W6LWc5eXzS0Y4NbhMWlUKq68KPi4b35WJti2lTthIXN0pR0F8HcU+GcASWQpddhaQLJMU4/M/KnMMRooAMJc+kjUKfDP8uelG0Uv+C0QdD6K3PuWzeHmAmGtRiWr7l6RNH1MOtK7g097lwe7FHYSEKBAgchYpNKPvjhejy6XvyVqTpoBkyQ60L1h0RgUZPrf1N0eH/7x3klFTAF2ur04Xxe99QkBRbwP3KpGm+LSw6KB0+2FzeFvI6lWCWcSKAU/9UhWOwr81CMFBmBi4bfwrI/AyZrKMNUncPeZGbzPmmY7vL7IfKbU8X53OWmGmG3+oFIxuHxWcFfh/c8vKO6zgwIFIluRSD/q2RJ12ZwCyXodazUq3L1yEndGqbrJhv/sviDJWoajrNYKb3cQl5NmEBwIRZM0UxwS4vwFnp1OjyAFhkQGvzVqSqI+bO2LwymJ9/po73RJMn2+L5R65MffUaiLQEFzVVN4Oh4FJBp03PPp9vjQEKFuTrFen8C3cHoOdFr/53pFfTtOdNdDKgUFCkS2VCoGc8KcfnTiQhsazQ4AQLxeg/mTw9sSdTB5GUZ8c8kY7vLHB6pwuqJNwhUNLhbSjgB/4bkg/YjqFCKOn3YU2M5XGo1aBWO8FoA/D769Ux67CvzUo1hsjRqQkxbZFqmCQubs8HTE4e8qVEVo8BrVJwQlxGkxf0oOd3nL5/I/AchHgQKRtblhTj/afqia+3rR9BxZTEZeNjsfU7onQrMANm49DXuXW9pFDaC0ysJ9PTFK044C+KkBkS4MJMKz3kpOj0mWYUGzYNiagn+3ocrhtUhtaOuEL4xpIk63l5vdwwAoyAjPmXfBHJgIvW/F8gyFviydHUw/2n+iHi1Wh4SrGR4KFIishTP9qL7VjhMX/GfrGUCQRyglhmFw14qJ3FlHc4cT//yoVJZ5jV0uD8rr+fUJydItJgKoRaq0+OleSg4UBHUKMihopmFrQcZ4LZIM/vdet8cX1hTDmiYbAm/r2WmGsJ2oEp7gCP/7FsuyMT9Doae89ARMGuU/keZjgSPnWiRe0dBRoEBkLZzpR/zahBlj02XVlSHZqMfaqydwl78604S9JxokXFHfymqC9Qn5GQlINERnfUIAtUiVVptgKrNyD2b5Q9fkMEvB3uXhGifE6WJz2BpfToQGr4VrInNPBT0my4f7pFO73cU1HdDr1IpsYxwOK+eP4moQM0zyOd4YDAUKRPbCkX7U2eXBF8eDB97LZstjN4Fv5rgMLJqey13etO0smi3y2q48zZufEK3djviyUw1cUZrF5oLVLv1BXqxgWVaQ7qXkgw/BLAUZ/A21KbzlrNhy+AXNLeGrU+D/PYs9aI0vwxSHeL1/t8LmcAt2j8JBUJ+QniBZgxC5GV+Ygqd+eBn++r+LMWNsutTLGTIKFIjsjc1P5rbqxUo/+vx4PZxuf0vUvPQE2Rbh3rZ0LLJS/GceulxePL/lVMTa2w3FmUoL9/WEGAgUVCpGkEdMuwqRc6bKgpruTipajQqjcpIkXtHImRJ4sxRs0qceCeoTYjjtKEBY0By+HYVKwY5C+DoDMQyDgkz+bmh46xSoPqF/BVmJGJOfLPUyhoUCBSJ7vYavnQkt/cjnY/Epr4h56Zx82Z7x0OvUuPvayVB396Auq7Vi695KiVfl53B6uI4dDKK/PiGgMJvSj6Tw8YEq7usFU3O4Gh4lklsxM9UnCEWi85HH6xO0EA1n6hHQs/NReN+3alt4rVHDVKBNIocCBaIIgvSjs6GlHx270Ipmi3+rPSFOg0smSdsSdTDFOUm4dkExd/m/X5TjXI1FugV1O1dj4TqCFGQaFX3gNhxFNKE54mqbbTjW3XucAXCFBNPTxSQsZpY+UOg5nyLW5faoUQhHTn99ayc8Xv/9piXpw/7+KZjQHOYdhdpmKmSOJrILFOTY2YVIT8z0o08PBncTFk7PlUVL1MGsmFeEcQXJAPy91//x3il0StwyVZB2JNPUrXAo7DGhmYTfxweCr9lZ4zKQxZueq0TJgmJm6VOPzDSVWSAlUc99Lti7PGjvFP+9NlKFzAGCRgxh3FHo2fEon1KPFE/0QOGRRx7BwYMHR/zz99xzD37729+KuCISDcRKP6ptseNkhb8Al2GAy2fmibK+cFOpGNy9chIM3d1IWtu78M+PpW2ZKixkTpZsHZGWl27kUsGaLA50dnkkXlF0M3c4se9ksPHAlRcXSrgacST12FGQ+gQZpR4JMQyDHF4w2hCGOgXBoLUIBAq56Qnc+1azpSts71tt7U50ufz1fwlxGsHfOlEm0QOFt99+G3fccQeWLl2KJ598EuXl5cP6+UWLFuH6668Xe1kkCgi7HzWNKP1oB68l6syxGUiXUUvUwaQmxWENr2XqgdNNgs5NkdTZ5ebOiDEMML57tyMWaDUqQYFedZjzfWPdp4dquBa8JfkmlOSZJF5R6OL1Gui1/jPWbo8PDqe0wSalHvXGb5FaF4Y6hUjvKGjUkXnf6lmfINf6PzJ0ogcK9913H4qKilBbW4tnn30W11xzDW6++WZs2rQJbW1tYj8ciSGC9KNON0qHmX7U2eXGFyfquctybIk6mDkTMnu1TA1M9oyks9VWblBQYVYiDHGxUZ8QQBOaI8Ph9OCzI7Xc5asuUv5uQoBcWqT2HLaWkkipRwCQm84raG4Rd0fBx7KoauIXMkem4FeQNtkUnvctqk+IPmEJFD766CO89dZbWL16NdLS0nDs2DE8/vjjWLRoEe655x589NFHcLmkL+AiytIz/ejgMNOP9hyrh8vtby2an5Gg2HSZ25aO5bpyON1ePPfeSXi8kW2ZeoaXdjQxBtqi9kSD1yJjz7F67mx7Vkq8onqPD4Zf0Czl0DWbww0Xb9iaIS62h60FhHPoWrPFwaXnGOO1EdvFKcwM//tWTTPVJ0SbsBUzT506FY888gh2796N559/HitWrIBWq8Vnn32G//3f/8Wll16KRx99FF999VW4lkCi0EjTj/wtUYNpR8vmFCh2S1SvU+O7106GRu1ff2VDB97ZfSGiazhTGQwUJhQlR/Sx5YCfKlBJgUJYeLw+bPsq2BL1yosKoVLoa7Yv/OnMUs5SaOENcaS0oyB+i1SxU4+qBIPWIpeeUxiBzkd1LTRDIdqEveuRSqXCwoUL8X//93/Yv38/nnvuOdx6663weDx4++238e1vfxuXX345nnnmGTQ3N4d7OUThRpp+9PX5FrRYgy1RL56UFa4lRkRhViJuuqyEu/zR/iqcLI9Map/N4UZ197a1imEwVmHDY8RQkGlE4KO9vqUTru7hfUQ8B0ub0NruP4BONGgxf4q82xgPV7JMWqTyAwUqZA7KSI7nin/NHU5R60j4hcz8uSzhxh+6VttiF30n2udjUdfKTz2iGQrRIGLtUVmWxaFDh7Bnzx7s2rULDocDLMtCq9Wirq4Of/vb37Bs2TI8++yzkVoSUSCVisGc8cFdhaGmH20/GNxNWDQjlyskVLJlc/IxZXQqd3nj+6fQ3hn+A47SKgsC+zhF2YmI18deqkK8XoPM7q4ovh7tAEnoWJbFR/uDuwlLZ+VDFwWvWT6TTIauBU6gAEAKtUblaNQqZKYEm12IWQvGT/uJRMejAEOcBukm/3Ps9bGCs/9iaLY44O5OYzMZdTEzWyfahT1QOHr0KB5//HEsXLgQd911F1577TXU19dj7ty5ePzxx7F3715s374d3//+98EwDJ588kn8v//3/8K9LKJgcyYE6xSGkn5U22zD6Up+S1TlFTH3RcUwWLdiEpIM/jdjq92FF7eeDnurRX59QiymHQUU8QuaafCaqM5Umrn0DJ1GhSWzlNHGeDhMCbxZCnZ5pB7RjoIQf/CaWAfVLMtGvOMRX6Ggvkrc9COqT4hOYTkVeO7cObz//vvYunUramtruQOXoqIirFq1CqtWrUJeXvCN32g04oEHHsDo0aPxox/9CK+//jruueeecCyNRIFA+pHV7uLSjyYOMPBrO682Yda4DKSZouesmSlBh3XfmIS/vPk1AODY+VbsOFyLpWHs6FQa44XMAYVZiThw2r+jRQXN4vrwQHA34dJpOUg0RF8v9mS57ChQjUK/ctINwFn/12LtKFhsLm6Am16nFuxaREJhlhGHz/rTvP2D13JEu+86XmvU3HRKO4oWogcKK1euRFlZGQB/5GwymXD11Vfjuuuuw4wZMwb82VmzZgEAbDZqN0j6F0g/+vSwPwA4eKap30DB5nBj34ngrAEltkQdzNTRabhibgE++co/vXbzjjKMK0hGQab4b9TtnS7urJFaxaAkX/k97UeqSFDQTO9ZYqlptuHEBX+9DQPgyrkF0i4oTATFzHKpUaDUI4GcMOwoCHYTMo0RL9AXdj4S932Ln4JJrVGjh+iBwrlz56DRaLBo0SJcd911WLJkCbTaoeWpORwOXH311Zg+fbrYyyJRZs6EDC5QOFTahNXLx0Gl6v2Gu+dYHdf6ryDTiHFROhjsxsVj/OkaTTZ4vD48995JPHrnHNFrMc5WWbivR+UkIk4Xe/UJAfwOIjXNNnh9PqhVESv7ilof82oTZo3PQGaKYYBbKxe/PaqUXY9arbSj0J9cQYtUcXYUKiVMO/I/Jq/zUVMHWJYVresSzVCITqJ/qgVaov7973/HFVdcMeQgAQDGjBmDv/zlL1izZo3YyyJRZmx+MlcM2F/3I6/PJ5jEvGxOvmJbog5Gq1Hhu6smQ6f1v6TrWux4c0eZ6I9zml+fEMNpRwCQaNBxB1Zuj0+0A4lYZu5w4stTjdzlqy6OngFrPRkNWq6rjr3LA7cn8p2zWJYVFDOn0rA1gezUYJDaZHaI0iWIfxY/UoPW+FIS9UjonpXhcHoFz38oPF6fID2LH2QRZRM9UNi8eTNuvvlmWCwWse+aEI5KxWDOuGD3o6/66H509Fwr117RGK/FPIW3RB1MTloCbl82jrv82ZFaLhdVLML5CbEdKAA0eE1s2w9Ww9vdnGBsvgljcqM3tU3FMEiSuEWqzeGGs3vwl16nRrw+ujpLhUqvUyOtOx3Lx7JoNDsG+YnBSdXxKIBhmB4FzeK8bzW2dXKv3bSkuJjshhetRA8UqqqqoNfrkZycLPZdEyLA7350uI/uR58equa+XjwjF1pN9H8ILpyWI5he/dIHp2HuECetwWp3cWfN1SoGJXnRexA3VPwzgmLn+8Yah9ODnUdrucvRvJsQIAgUJCho7tnxKFp3XEPBH7xWH2Kdgr3LzZ3BV6sYyQaSheN9i+oTopfogUJSUhK6usTZyiJkIAOlH1U32XCmO59exTBYMjP62iv2hWEYrLl6AlKT/Ckx9i4Pnt9ycsgTrAfC73Y0JjcpKmZRhEpQ0EwtUkOy++s6OJz+s9vZqQZML0mXeEXhxx+6ZpEgUGgVpB1RfUJfcgR1CqEFCvyD8vwMIzRqaWqa+AXNgeGZoaqh+oSoJfpf6T333IPa2lr8/ve/h8MR+jYdIf0ZKP2Iv5swe3xGTHXzSIjTYv03JiFwcvBMlQUf7q8M+X4p7ag3wRZ+ky3sMyyilcfrw7aDwdfslRcVRLwbjBSEnY8iX9DcLGiNGjvvkcORk87bUQixDkkwkVmC+oS+HtvfIjV0tc28IIhao0YV0ZPInE4nZsyYgZdffhmbNm3C2LFjkZGRAb2+77MVDMPgr3/9q9jLIDFi7sRgm9TDpU3wen2wd3mw72SwIHLZnOhriTqY8YUp+MYlo7BlbwUA4N095ZhYlIrRuUkjvs/TvI5H42O8kDkgNUkPY7wWNocbDqcHzdYuZCZHti96NPjqTBPauuuJkgxazJ+SLfGKIkPqWQqtNENhUGJ2PuIflEvR8SggO80AjVoFj9eHtnYnbA53yFOU+e1jpUqpIuEheqDw+9//HgzDgGVZuFwunDx5csDbU04kCUVJvgkmow7W7iE2Jy604ly1hRsjX5SVGLO59NcuGIVTlW04X9sOr4/Fc++dwC/XXjSiIjNzhxON3R0tNGoVSvJGHnBEE39hoBGnKvy7LVUNHRQoDBPLsviI1xJ16ez8mKgnAnq0SJVgR6HFyp+hQIFCXwQ1Cm12+Fh2xLtd/NQjKQqZA9QqFfIzElDRvcNR1diBSaNSR3x/LrcXTd2F3gwj/J0R5RM9ULj33nvp4J9EjIrxpx8FdhV2H6nF4dJgClI0t0QdjFqlwndXTsZjLx2Aw+lFs6ULr31yFutXThr2ffHrE0rykmLmQG4oCrMSuUChsrEDcyZkDvIThO9UpZnLk9ZpVVgyK3Z2APmpR1LUKLRQ6tGgEg06btfQ5fahrb0L6abhnwxwur1cjQMDID9T2rPuhVmJvEDBFlKgUN/aiUDSZWaKATqqX4sqogcK999/v9h3SciA+OlH2w9UIlC3m2jQ4qKJsX3Qlp4cj29fOQHPveff2dt3sgFTRqfiksnDS+04Q/MT+iVskUqdj4aLv5uwcGpuyCkQSmIyStsetcVCxcxDkZtmwNkaKwD/QfFIAoWaJhsCJUzZaQbJh1WKWadQI6hPoLSjaCN6MfPTTz+Nd955Z0i3/cc//oGf/OQnYi+BxJhA+hEA8Jv7LJ6RR2e+AVw8KQuX8nK+X/24FE2W4TUaOFNp4b6mQmYh/gduJc1SGJbqJhtOlrcB8KcsLL+oQOIVRZaU05lZlhVMZabUo/7l8A5+R9oitUriicw9CTofhXiCg+oToltYAoV///vfQ7rthx9+iE8++UTsJZAYo2IYzBkv3DlQq2KnJepQ3L58HDJT/GfBulxe/OO9k0OeMtrW3sUFFlqNCsU5VJ/Al5Vq4FrFtttdsET4gE/J+LsJs8dnxlx9hykheHDebneL0sZ4qDqdHnQFhq1p1TQgawA5vAnNdSMsaK6UeCJzT/mZCQgk5da3dsLlHvlkcJqhEN1CemeoqanBrl27en2/ubkZmzZtGvBna2trcfbsWRiN0r9giPLNnZCJTw/VcJdnj8+gLh488XoNvnvtZPz21UPw+lhcqGvHfz8vx42Lxwz6s6cr+fUJJmg10vT+lisVw6Agy4iy7tSEqsYOJBvpb28wbe1dOHA62J3sqouif8BaT1qNCglxGti7PPCxLGwOt2AIWziZ24MBbQoNWxuQYEdhhLMU5LajEKfTIDPVgMa2TvhYFrUt9hGfBOK3Rs3LoGO6aBNSoJCZmYl//vOfqKoKnhViGAbV1dV4/PHHB/15lmVx+eWXh7IEQgD404+SjTquIHDZ7NhKYRiK4pwk3LBoNN7aeR4A8MG+SkwelTpoKpGgPoHSjvpUlJnIBQqVDR2YNib6h4WFavvBGni7z6CPK0gOqXWvkiUb9bB3eQAAFpszYoFCG29iO6UdDUzQ+WgEOwoer08wkEzKjkd8hZlGrptdVWPHiAIFh9OD1u6gU61ikJUSW7uCsSCkQEGn0+EXv/gFnn32We57X331FRITEzFhwoR+f06lUsFgMGD8+PG4++67Q1kCIQD8Z3XXXD0BW/ZV4uJJ2SjJj82WqIO58uJCnChvw+lKM1gAz79/Cr+666IBC0hLefMTJlIhc58EhYFU0Dyozi4Pdh6t5S7H4m5CQFKCjkvdiGRBc1tHsJCZdl8HlpoUB51WBZfbB5vDjY5OFxINQw/o6ls7uVTPtO7ZK3JQmGXkBpVWjXBCM78+ITCfgUSXkJMSL730Ulx66aXc5QkTJmDcuHF49dVXQ71rQoZl2ph0LJ1XDABobqai0r6oGAbf+cYkPPbiAdgcbpg7nHj5wzO49/opfaYetFgcaLH6Dyh0WhVG5cjjTJjcFGUHfy9U0Dy43V/XcfnxOWkGTCtJk3hF0uEPXYtkfQs/9SiVWqMOSMUwyElN4F7b9a2dwwoU5JZ2FCCYLD/C9y1BfQIVMkcl0UO/f/7zn3jkkUfEvltCiEhSEvW465qJ3OXDZ5ux62hdn7c9zUs7GpufTGeL+pGbngC1yh9otVi7YO9yS7wi+fJ4fdh2sJq7fOVFhSMeYBUN+LMU2qXaUaDUo0HlpPMLmodXp1Ap10AhM7gTWtNkH1ExfQ3VJ0Q90T/1L7roIkycGDwIaW1txcGDB/HZZ58BAHw+H2w22ponREozxqbj8lnBrlD/+vSc4MxQgKAtamFyBFamTBq1StDtg9KP+nfgdCPM3fnxSQk6XDI5S+IVSYvfIjVSQ9fa7S5cqGvnLtMMhcHlpPFbpA6vTqFKZh2PAkxGPVcT43R7h902GwBqebUXNEMhOoXt9OCnn36KG264AQsWLMAdd9yBe++9F4C/U9KiRYvw+9//Hh6PJ1wPTwgZxM1LSriDW5fHh+f+exJuT7BFHsuyVMg8DGJs40c7lmXx0f7gbsLS2fkxP+tEMHQtAqlHx8634hcv7BcU5WalGAb4CQL4h64FDKfzkY9lUc0baCaXQuYAYX3V8N+3BDMUqDVqVApLoPD000/jvvvuw6lTpwAAarUabPdIwtraWnR2duLll1/Gd7/7XXi9I+/dSwgZOZ1Wje9eO5lrd1rTbMNbn53nrm+2OLgzv3E6NUZly+sDTm74BwBUp9C3kxVtXKqCTquiWScAknmzFMJZzOz2eLFp21n89a2v0d4ZTI375tKxyEqlQGEwgh2FYQQKzRYHHE7/cY4xXiu7wnH+4LXh7oR2dLq4v1mdRoWMEUysJvIneqCwb98+PP3000hISMAvf/lL7N+/H9OmTeOuv/jii/G73/0OBoMBe/fuxRtvvCH2EgghQ5SfYcQtl5dwl7cfqsHXZS0AgDO8bkfjCpKhVlF9wkCKskb+gRsrPuYNWFs4LVc23V+kJNxRCE+gUNNkw4ZXDgpmzZgSdPjV+kvw7WsmheUxo01mSjxXS9Pa7kSXa2gZEfz3gqIso+zmVQh2FJqGd4KDv5uQk54AlUpe/zciDtE/+V955RUwDIM//vGPuPXWW5GUJOzLq1KpcN111+Gvf/0rWJbFe++9J/YSCCHDsGRmHmaUBPv+v/jBaVhsTpzhDVobT/UJgxJOOrXDGcKk02hU1diBkxX+vymGAa6YS7NOAOF0Zovdye2+i4FlWWz7qhobXjkoyCWfUZKOX627CLMmZA7w04RPo1Zx0+0BoKFtaHUKcu14FFAYwgmOGqpPiAmiBwpHjx5FdnY2lixZMuDtFi5ciNzcXJSVlYm9BELIMDAMg7XXTODaNHZ0uvHC+6eE9Qk0P2FQcToNsrvzmFlW2A2EAB8fCO4mzBmfiYxkSlMAgHi9Grru9D+X28e1jQ2V1ebEX976Gm98eo7r4a/TqHDHleNx/41TkTSM9p7EbySD1+Ta8SggMzkeeq2/Tqjd7hpWnQzVJ8QG0QMFu92OlJShHVSkpqZSQTMhMpBo0GH9NyZxZ8RPVpi5Dizxeo3sCvDkSnB2roHqFALa2rtw4HQTd/mqi2N3wFpPDMMI049EqFM4WtaCX7x4ACcutHHfK8w04hdr5mLJzDzZpb8oRW768OoUWJYVvA8UybDOS6VikJ/J69g2jMFrtfzWqOny6eZExCV6oJCZmYny8vJBAwCXy4Xy8nJkZGSE/Jh79+7Ft7/9bVx88cWYNWsW7rjjDuzevTuk+/zOd76D8ePHY//+/SGvjxAlmDgqFVfPK+r1/fEFyZR7OkT8fN9KqlPgbDtYDW93j/bxBckozkka5CdiCz/9KJTOR063F69+Uoqn3j6GDl7B8lUXFeLn354jONAlwyfYURhCi1SLzcUVjut1akHqkpyMpGMby7KCltr5tKMQtUQPFC699FJ0dXXh2WefHfB2zzzzDOx2O+bPnx/S473zzjtYu3Ytjhw5gmnTpmHmzJk4cuQI1q9fj82bN4/oPl9//XXs2bMnpHURokTXLSxGcY/pyzQ/YeiKqEVqL51dHsFAvytpN6EXkzH0WQpVjR3Y8PJX+OxwLfe9ZKMOP7x1Bm6+vITrbkZGjt/5aChD1/jvAQWZRtkOFuQPXhtqnYLF5oK9y39COF6vll03JyIejdh3ePfdd2PLli145plnUFtbixUrVqCryz8B0mq14vz58/jXv/6FLVu2QK/X46677hrxYzU2NuKxxx5DYmIiXn/9dYwbNw4AcOzYMaxduxa/+c1vcNlllyEra+gDfSorK/HHP/5xxGsiRMk0ahXuvnYyfvnSV3B250pPHJUq8aqUg39mrqbZBo/XF/PTrHd9Xcvl3eekGTBtTJrEK5KfUFqk+roLlv+96zw83mAh9Myx6Vh7zUTqLCUi/o5Ck9kx6OubHygUZcov7ShAsKMwxNQjQX1CegKls0Ux0T/B8vPz8dRTTyEhIQH/+c9/sH79epw+fRoAMG/ePKxevRrvvfcedDodfv/736O4uHjEj7Vp0ya4XC6sWbOGCxIAYNq0aVi/fj2cTuewdhW8Xi8eeughaLVawf0REkuyUgx44MZpKMk34YZFo1GQSbmnQ2WM1yItyX/Q5/GyQy54jFYerw/bDwZbcl55UaFsz6pKKWmEQ9fMHU78ZfNRbN5RxgUJOq0Kd141HvfdMJWCBJHF6TRI7X59e30smgeZZCyYyJwt3/fRvPQE7nXZ1NY5pNavVJ8QO8JyqmvhwoX473//i9tvvx3Z2dlgWZb7l5KSguuvvx7vvPMOrrrqqpAeJ5AetGzZsl7XBb43nFqFjRs34siRI3j00UeRlkZnvUjsmliUgp99aza+MX+U1EtRHJrQHLT/VCM3tC8pQYdLJmdLvCJ5Sk4YfurRkbPNeOzFA1zLWcBfLPvYmrlYPIMKlsMlhzecrm6QOgV+xyM5N4TQadXcbgkLoKZp8LSqGt6OQh7VJ0Q10VOPAvLy8vCLX/wCv/jFL2C322Gz2WAwGJCYKM6LhWVZlJWVQaVSYfTo0b2uHzVqFFQqFcrKysCy7KBvmmfOnMHf/vY3XHnllVi5ciX+/e9/i7JOQkhsKcpKxJFz/qF1lQ0duHRqjsQrkgbLsoKWqMtm51OefD9MxmDqUbt94B0Fp8uLzTvOYSev7oMBcPW8Ily3sDjmU93CLSctgQvO/J2P+m7IYu9yo8XqT7tWqxjZF5IXZBm54uSqpg6U5JsGvH0tzVCIGWELFPgSEhKQkCDuH5LVaoXL5UJqaip0ut79oDUaDVJSUtDa2gq73Q6jsf+tMZfLhR//+MdISkrCL3/5S1HXORidToOMDPmeaVAq+p0qUzQ8b1PHZeLdz8sBAPVmR1T8n4ai5//z8JkmbiBTnE6Nm5aPRyL17u9TscvHfW3r8vT7N1NWY8H/vXZIkPaRZorDg7fPwrSSkXcQjJW/UTGMG5WK7d0Trs12V7+/u/qyZu7ropwk5GQPfOA9EmI+bxOL0/HlyUYAQHO7c8D79vlYNLQFA4WpE7KQkhgn2lpigZJec2ELFM6ePYvTp0/DbrcPOmly9erVw75/h8OfGxgf33+7sbg4/x/uYIHCk08+ibNnz+KZZ55BaioVbhJCRm4M70zchVorfD42JtvLvrPzHPf18ouLKEgYAL9jTFt77x0Fn4/Fu7vK8OqHpwUFy5dOy8W935xOv9sIyuelEFUPUPh7odbKfT0mT/wgQWz8NZ7nrb0vzRYHHE5/g4KkBB2SjdTxKJqJHijY7Xbcf//92Ldv35B/ZiSBgko19O3VgQKVQ4cO4cUXX8S1117bZ61DuLlcHlitAxdEkaELROnNzbGdG6400fS8sSyLRIMWHZ1uOJwenDrXhCxeXnO06eu5q2zowNfd6VcMAyycnBUVz224+HwsGMY/0buj04X6BiuXQmTucGLj+6dwujJYi6DXqnH78rFYMDUHXXYnugZJV+pPNL3uIsWgDgb91Y0daGpq7zO1+dT5Fu7rTFOcqL/jcDxvifrgMVVFXTsaGq1Q93Ocdaws+H/LTTOgpYVmxgyVlK85kykeOt3wD/tFDxT+9Kc/Ye/evQCAwsJCpKWlQaMRf+PCYPB/8Dqd/b9BBtqyBm7bU2dnJ376058iIyMDjz76qOhrJITEHoZhUJiViJPl/qm4lY0dUR0o9IVfmzB3QibSk+U5aEouVCoGSQk6WLsLmdvtLqQmxeFQaRNe/vAM168eAIpzEnH3tZORlRJbf1NykWjQIiFOA3uXB06XF+YOJ1KTeqfd8AcuyrmQOSDRoENKoh7mDic8Xh8aWjuRl9F3JgZ1PIotoh/Bb9u2DQzD4KmnnsLy5cvFvnuO0WiEwWCA2WyGx+PpFYx4PB6YzWbo9XokJfU9BfSNN95AVVUVxo8fjw0bNgiuKysrAwA8++yzeOutt3Drrbdizpw54fnPEEKiShEvUKhqtOGiiUOf5aJ0rdYuHDjdxF2+8iIasDYUJl6g0Gh24L+fl2PPsXruegbAivlFuPZSKliWEsMwyElPQFmNPz2nrtXeK1Bwur3dhc7+5y0/UxnFvkVZiVyXsqpGW7+BgmCGAnU8inqiBwoWiwUlJSVhDRIA/4u1pKQEx44dQ0VFBUpKSgTXl5eXw+fzDTgPobPT39qstLQUpaWlfd4msDsyf/58ChQIIUNSmBX8gK2MsRap2w5Ww9ed7jmhMBnFOX2fqCFCyUY913f/qX8f4wYeAkBqkh7rvzEJ4wtTpFoe4clNM3CBQn1LJ6YUC9up1zTbEMh4zko1IG4E6R5SKMg04mh3WlFVUwcuQd/tjPkdj/Ko41HUE/2vNy8vjzsAD7eFCxfi2LFj2L59e69AYfv27QCAxYsX9/vz999/P+6///4+r1uzZg327duHf/7zn7j44ovFWzQhJOoV9ZilMJQWzdGgs8uNXV8H23ZedTHtJgyViTdLgR8kXDQxE9++cjwMcTQ8TS6yU4MHx4GdAz7BoLUs5aTm8NfK/z/weX0+1PEGSdIMhegn+v7l9ddfj7q6Ouzfv1/su+7lhhtugF6vx/PPP48TJ05w3z9+/Dg2btyIuLg43H777dz3q6qqcP78eXR0xNYZPkJIZGWkxCNOpwYAdHS6hzxES+l2Hq3jDnJz0xMwZTQNrhwqU4/OMXqdGutWTMR3r51MQYLM5Kbzhq71MX2dP2ixKFv+9QkBPYdF9tUIpsnsgMfrb+ebkqhHAv1tRj3RA4V169Zh3rx5+J//+R+8+eabqKmpQWdnJxwOR7//Rio/Px8PPfQQbDYbbr31Vqxbtw7r1q3DbbfdBrvdjg0bNggmLK9ZswbXXHMNtm3bJsZ/lRBC+qRiGBRm8tKPGqL/5ITH68O2g9Xc5SsvKoAqBnZRxDKuINieckxuEn61di4unZoTEztRSpOTFjyL3tDHjgL/9V6ogELmgHRTHOL1/hMc9i4PV6/AJ6hPoLSjmCB66pFGo8F1112H/fv347HHHhv09gzD4NSpUyN+vNWrVyM3NxcbN27E4cOHodPpMGvWLNxzzz245JJLRny/hBASisKsRJztzmOuauzAjLHpEq8ovL482cgV45qMOsyb1Hd+M+nb5FGp+ME3p8Hl9mHmuPR+W1MS6aWZ4qDTqODy+NDe6YbN4YYx3n9m3eP1cYMGAWV0PApgGAYFmYk4W20B4E8/6lmoTfUJsUf0QGHr1q346U9/CmDg+QUBQ7nNYJYsWYIlS5YMersdO3YM+T5ffvnlEFZECIl1/DOJ0V7QzLKsoCXqstn50GroQHc4GIbBtDHRHUxGCxXDIDvVgKrugWv1rXaMzU8GADS0dnKpOalJei6AUIrCTCMvUOh9gqOGt6NA9QmxQfRA4YUXXgDLsli4cCHWrl2L3NxcaLXKeqEQQkio+LnJ/RUGRotDZ5pQ230AodeqcdnMPIlXREh45aQn8AKFTi5Q4J8UUNJuQoCgTqGPydP8GQr5/bRPJdFF9EDhwoULSE1Nxf/7f/8vLIPWCCFECXLSDNCoVfB4fWht7xKkJ0Sb/+ws475eND2XChxJ1MtJ4xU0886yCzseKTFQ4Hc+Eu6Euj0+NLYF60r5vwMSvUTfGzYYDMjOzqYggRAS0zRqlWBrvueHbrQoq7HgWHfvdRXDYPncfIlXREj45abxW6QGOx/xdxSU1Bo1IDc9AWqVv4C+xdqFzi43d11jWyc3IyXdFKeY+RAkNKIHCpdccgnOnz8Ps9ks9l0TQoiiCOcpRGf6EX83Ye7ETKSb4iVcDSGRkc07mx6YpeBjWVQ3KTv1SKNWCYqUq3npRzUtlHYUi0QPFB544AGo1Wo88MADaGxsFPvuCSFEMYqifEJzi9WBz/kD1i6iAWskNmSlGBDoXNtq7YLT7UWLxQGH0z9HxBivRUqifoB7kK+CfgavCToeUSFzzBB932jXrl1YtmwZ3nvvPSxduhRjxoxBVlYW4uP7PsvEMAz++te/ir0MQgiRXM8BRtHmi+MN8Pn8qQgTi1IUNVyKkFBoNSpkJsej0ewAC39aTpM5mL9flGVU7AyMwsxEfIEGAEAVb4eEHyjQDIXYIXqg8Nvf/pZ7cXg8HpSWlqK0tLTf2yv1hUQIIYPJzzSCYQCW9bdNdLq80HdPbI4GJy60cl8vmp4r4UoIibyctAQ0dgcHda12wYG0EguZAwr72VHgF23TDIXYIXqgcO+999LBPyGEwN8qNCctAXUtdrAALtS3Y2JRitTLEoW9y40L9e0AAIYBJhenSrwiQiIrJ92Ao90lOvUtnT0KmZUbKBRkBtde12KHx+uD18ui2eIPilQMQx2PYojogcL9998v9l0SQohijS9I5s7EnShvjZpA4XSFGYF5mSX5yVHb+pWQ/gg7H9l7tEZVbrGvIU6DdFMcWqxd8PpY1LXY4fWxCIzHzUqNh1YTPTujZGARG53pcrki9VCEECIbU0YHz7SfuNAm4UrEdaI8mHY0a3ymhCshRBo5vEDhbLUF7Xb/cY5eq0ZWqrLPuBf1mCxP9QmxK2xNcFtbW/Hyyy9j586dqKiogMfjgVqtRmFhIRYsWIB169YhKysrXA9PCCGyMKEwBWoVA6+PRXWTDeYOp2K7oQSwLIsT5cGgZyYFCiQG8dNv2juD8wYKsoxQKTwFuyDLiENnmwEA1Y02aNTB88pUnxBbwrKjcOjQIaxcuRIbN27EuXPn4Ha7wbIsPB4PLly4gFdffRWrVq3CgQMHwvHwhBAiG/F6Dcbmm7jLJ8uVv6vQ0NaJtnYnAP//b3yUpFMRMhzxeg2Sjbpe3y/KVG59QkAh7/9Q1WSjGQoxTPQdhaamJnz/+9+H1WrF5MmTcfvtt2Py5MkwGAzo6OjAyZMn8a9//QunTp3CD37wA7z77rvIzKSzUYSQ6DV1dBrOVFkA+FN2FkzLkXZBIeKnUE0fmy4420hILMlJS4DFJkytVnJ9QgD//1Dd1CGYwkwzFGKL6O/uGzduhNVqxYoVK/DWW2/hxhtvxIQJE1BYWIjJkyfj5ptvxttvv41rrrkGZrMZmzZtEnsJhBAiK1NGp3Ffnyxv42YPKBU/7YjqE0gs4xc0Byi541FASqKea1DgcHph7vDvIGrUDDJTaPp6LBE9UNi1axfi4uLwq1/9CipV33evUqnwq1/9CjqdDtu3bxd7CYQQIiv5GQlcioK9y4Py7raiSuT2+FBaZeYuU30CiWU56cKiZbWKiYoz7gzDoCCz985IdmoC1P0c25HoJPqzXV9fj5KSEhiNA2+9JSYmoqSkBHV1dWIvgRBCZIVhGMGuwnHeoDKlOVdjgcvjAwBkpsQju48zqoTEipwef/95GQlRk4rXVwpVfhQEQWR4RP9r1ul06OjoGPyGAGw2GzSasDVeIoQQ2ZjKCxROKLigmb/2KTRkjcS43B6Dx6Ih7Sigr/9LNOyWkOERPVAYP348qqqqcOzYsQFv9/XXX6OyshLjxo0TewmEECI7k0alINAxsbyuHTaHe+AfkCl+1yaaxkxiXVKCDgZ98IRnUTQFCn2kHtEMhdgjeqBw/fXXg2VZ/M///A+OHz/e522OHTuG//mf/wHDMLjuuuvEXgIhhMhOQpwWY3L9bVJZKLNNqtXmRHWTv02iWsVgQiG1RSWxjWEYQYrO6NwkCVcjruw0A7Qa4WFiHrVGjTmi5/3ceOON2LJlC/bv34+bb74ZkyZNwqRJk5CQkACbzYZTp07h9OnTYFkW8+bNw4033ij2EgghRJamjE5FWa0VAHDiQisunqSsoZP8tKOSPBPi9ZQ6SsiNl43B5h1lGJefjOKc6AkU1CoV8jMSUF7vTyfXaVVIN8VJvCoSaaK/yzMMg3/84x/45S9/if/+9784efIkTp48CYZhwLL+loAqlQrXX389Hn300X47IxFCSLSZOjoN7+4pBwAcL2+Dj2UVNcH1ZAWvPmE0pR0RAgBjck342bdmS72MsCjITOQChbz0BEW9XxFxhOV0kF6vxxNPPIH77rsPe/bsQUVFBex2OwwGA4qLi7Fw4ULk5eWF46EJIUS2irITYYzXwuZwo93uQk2TTTHFjz6WpfoEQmLMqJxE7P7a/3Vf7VJJ9BM9UPjpT3+KvLw83HXXXcjLy8Ott94q9kMQQogiqRgGU4pT8eWpRgD+NqlKCRSqG23o6PQXYCcatIpZNyFk5C6ZnI3Dpc1o73ThqouLpF4OkYDogcKOHTug0Wjw/e9/X+y7JoQQxZsyOhgonLjQhhWXjJJ2QUN0ojw4+2HyqFRKQSAkBui1ajx4ywypl0EkJHqBgNvtRnZ2NtRqtdh3TQghije5ODhPoazWCofTI+Fqho7SjgghJPaIHihcdtllOHv27KBzFAghJBaZEnRcr3Wvj8XpSrPEKxpcl8uDczVW7jIFCoQQEhtETz168MEHUV9fjzvuuAPLly/HzJkzkZGRAb1e3+/PLF68WOxlEEKIbE0ZnYrKRn8nkeMXWjFrXIbEKxrYmUoLvD5/17r8DCOSjf2/nxNCCIkeogcKV1xxBQCAZVls3boVW7duHfD2DMPg1KlTYi+DEEJka+roNGzdVwnAP0+BZVkwMs7556cdTaHdBEIIiRmiBwo5OTli3yUhhESV0blJiNer4XB60druRH1rJ3LTE6ReVr8Ehcw0P4EQQmJGWLoeEUII6Z9GrcKkolQcOtsMwL+rINdAodniQKPZAQDQaVQYl2+SeEWEEEIihcYiE0KIBPiTjY/zUnvkhp92NK4wGVoNdbQjhJBYQYECIYRIYAqvTWpplQVOt1fC1fTvhKA+IW2AWxJCCIk2IaUeLV26NOQFMAyD7du3h3w/hBCiJGmmOOSmJ6CuxQ6P14fSKgumjZHXgbjH68PpSipkJoSQWBVSoFBbWzvin2UYRvadPgghJJymFKeirsUOwF+nILdAoby+HQ6nf6cjJVGPnDSDxCsihBASSSEFCs8++2yf39+4cSMOHjyIuXPn4sYbb8SECROQmJiIrq4uXLhwAf/+97+xc+dOXH755fjhD38YyhIIIUSxpo5OwydfVQOQZ53CiQvC3QQ6sUMIIbElpEDhsssu6/W9LVu24NChQ1i7di0eeuihXtePGTMGy5cvx9NPP41nnnkGl156KcaMGRPKMgghRJHGFZig06jg8vjQ2NaJJosDmcnxUi+LI6hPGC2v3Q5CCCHhJ3ox80svvQSTyTToTsH3v/99pKamYtOmTWIvgRBCFEGrUWNCUQp3+eSF1gFuHVk2hxsV9e0AAIYBJvLWSQghJDaIHihcuHABBQUF0GgG3qxQqVTIyckJqc6BEEKUjl8gfPyCfNKPTlW0ge3+ujgnCcZ4raTrIYQQEnmiBwopKSmoqKiA0+kc8Hbt7e04f/48MjIyxF4CIYQoxlReSs/pSjM8Xp+EqwkStkWlbkeEEBKLRA8U5s2bB5vNhl/+8pfwevvuC97V1YWf/OQn6OrqEqXFKiGEKFVmSjwykuMAAE63F+dqrBKvCGBZVjBobTIFCoQQEpNCKmbuy/e//318+umnePfdd3HkyBFcffXVKCkpQXx8PDo7O3H69Gls3boVDQ0NyMnJwd133y32EgghRDEYhsGU0Wn47LA/DfPEhVbJ6wHqWjth7vDvCsfrNRidmyTpegghhEhD9EChoKAAzz77LH70ox+hoqKizxaqLMti0qRJ+NOf/oS0NOqkQQiJbVOLg4HC8Qtt+OYSadfDL6qeVJQCtUr0zWdCCCEKIHqgAACzZs3CRx99hA8++AB79uxBZWUlOjo6YDKZUFxcjKVLl2LZsmVQ0YcPIYRgQlEy1CoGXh+LmmYbzB1OpCTqJVvPiQpe2tFoSjsihJBYFZZAAQB0Oh2uu+46XHfddeF6CEIIiQpxOg3GFSTjdKUZAHCivBULp+VKsha3x4uzVRbu8pRRFCgQQkisEv2U/pVXXom///3vqK6uFvuuCSEkak3hnbk/IWGb1LPVVrg8/s5LWakGpMtoABwhhJDIEj1QqKysxN/+9jdcccUVWL16Nd588020t7eL/TCEEBJVphYH67VOVbTB65OmTepJaotKCCGkm+iBwmuvvYabbroJSUlJOHToEB577DEsWLAADzzwAD799FN4PB6xH5IQQhQvLyMByUYdAMDe5UF5fYck6zhRHixkpraohBAS20QPFObMmYNf//rX+Pzzz/H0009j+fLlAIBPPvkE9913HxYsWIANGzbg6NGjYj80IYQoVqBNasAJXuehSDF3OFHTbAcAqFUMJhQmR3wNhBBC5CNsbYe0Wi2WLVuGp556Cnv37sWvf/1rXHzxxbDZbHj99ddx22234corr8QzzzxD9QyEEALhlObjEtQpnOJ1Oxqbb0KcLmz9LgghhChARPqTGo1GfPOb38TLL7+ML7/8Ej/84Q8RFxeHqqoqPP3007jiiitw5513Yvv27ZFYDiGEyNKkUSlgGP/XFfXt6Oh0RfTxT9A0ZkIIITwRO1107tw5fPDBB9i+fTvKysrAsiwAYMaMGWhubsb+/ftx4MABzJ8/H08++SSMRmOklkYIIbKQEKfFmFwTymqtYAGcrGjDvEnZEXlsH8v2KGSmYZiEEBLrwhoo1NbWYuvWrXj//fdx7tw5AP6pzPn5+Vi1ahWuu+46FBQUAAC+/PJLPPLII9i7dy82bNiAP/zhD+FcGiGEyNKU0akoq7UC8LdJjVSgUNnQAZvDDQBIMmhRkEUnawghJNaJHii0tbXhww8/xJYtW/D1118D8AcHiYmJuOqqq7Bq1SrMmTOn18/NmzcPf/jDH3D77bdjx44dYi+LEEIUYeroNLy7pxyAPxXIx7JQBfKRwoi/mzCpODUij0kIIUTeRA8UFi1aBK/XC5ZlodFocOmll2LVqlVYtmwZdDrdgD+bkZEBAIPejhBColVRdiKM8VrYHG60212obrShKDsx7I97guYnEEII6UH0QMHj8WDixIlYtWoVVq5cibS0oee5arVaPPbYYxg3bpzYyyKEEEVQMQymFKfiy1ONAPxzDcIdKDicHpzvTncCgMmjKFAghBAShkDhvffeG/GBfnZ2Nm677TaRV0QIIcoyZXQwUDh+oQ0rLhkV1sc7U2WG1+dvMFGQaYTJqA/r4xFCCFGGkAKFd999t8/vnzp1alj3c91114WyDEIIiSqTeR2Hztda0dnlgSEufL0nKO2IEEJIX0L65PnpT38KJsSCN4ZhKFAghBAeU4IORVmJqGzsgNfH4nSlGbPHZ4Tt8U5eoECBEEJIbyEFCrm5uQNeX1dXB51Oh/T09FAeZlB79+7Fs88+i9LSUrjdbkyePBnr16/HokWLhnwfu3btwgsvvIATJ07A5/Nh9OjRuO6667B69Wqo1eowrp4QQnqbMjoVlY0dAPx1CuEKFJrMnWiyOAAAOq0KJfnJYXkcQgghyhNSoDBYG9MJEyZg6tSp2LRpUygPM6B33nkHDz/8MHQ6HebNmwefz4f9+/dj/fr12LBhA2655ZZB7+Ott97CI488ApVKhTlz5iAhIQFHjhzBb37zG+zatQvPPfccNJqIzaYjhBBMHZ2GrfsqAQAnLrSCZdmQd3D7wm+LOqEwBVqNSvTHIIQQokyKPvptbGzEY489hsTERLz++utcEfWxY8ewdu1a/OY3v8Fll12GrKysfu+joaEBv/rVrxAXF4dXXnkFM2bMAAC0t7dj7dq1+Pzzz/Gf//wH3/zmNyPxXyKEEADA6NwkxOvVcDi9aG13or61E7npCaI/Dr8+YTKlHRFCCOFR9KmjTZs2weVyYc2aNYJOS9OmTcP69evhdDqxefPmAe/jww8/hNvtxs0338wFCQCQlJSE73znOwCAPXv2hGX9hBDSH41ahUlFwQP3ExdaRX8Mj9eH05Vm7jLVJxBCCOFTdKAQOIBftmxZr+sC39u9e/eA93HnnXdi+/bt+N73vtfrOrvdDgCUdkQIkcSU0cED9+O8M/9iuVDXji6XFwCQlqRHdqpB9McghBCiXIo9AmZZFmVlZVCpVBg9enSv60eNGgWVSoWysrIBc3tVqv/f3r1HR1Wd/x//TO6EAAmBAJIAgfQEExREEahy91KstEoreAeLchO0Li2lxR/fVlu1ghduWqrYVaxSW7AUUZQSFLFFioSaECBAAiQEgUBCCIRkksz+/ZFmTDgJ5MpkhvdrLdZKztmzZ+95mMl55uyLn2JiYmzHDx48qNdff12S9IMf/KBpGw8AddCnyjKp6VmnVFJaruDApltcYeeBb+9SJMZGNsscCACA9/LaOwoFBQVyOp0KDw9XUFCQ7XxAQIAiIiJ07tw5952Bupg/f77uvvtujR49Wnl5eZo7d66GDx/ehC0HgLqJbBfinpdQVu5SetapJq0/jf0TAAAX4LV3FM6dq1jOr1WrVrWWCQkJkVQxhCgsLKxO9a5evVq5ubmSKvZ4OHDggIqLi911NbWgoAB17NimWeq+nPGaeifiZnd9Ymet3pQhSco4WqhRg3o0Sb0FZ0p08GjF8qt+DmnItTEKC7V/6VJXxM57ETvvRNy8lzfFzmvvKPj51b3pxpg6l125cqX++9//asWKFerVq5fefvttzZgxoyFNBIBGu7Z3lPvn5D3Hmqzer/flqvKj0eoW0agkAQDgmxp1R+HIkSMXLeN0Oi9a7mIbt9UkNLRi0l1JSUmtZYqLi6uVrYvOnTtLkvr3769ly5bptttu0+bNm7Vjxw5dc8019W7nxTidZSooONfk9V6uKrP03NxCD7cE9UHcahfVJkhBgX5ylrqUk3tWafuOKyq89jupdbXl628/l+Njwhv82hM770XsvBNx816ejF27dq0UFFT/y/5GJQqjRo264HmHw6GdO3desJzD4dCuXbvq/dxhYWEKDQ1Vfn6+ysrKbCsTlZWVKT8/X8HBwWrbtm2965cqlkgdPny4/va3v2nXrl3NkigAwIUEBvird7cIpWRUTDxOyzypqP7RjarTGHPeRGbmJwAA7Bo19MgY0+h/LperQc/tcDgUFxen8vJyHTx40Hb+wIEDcrlc1fZXqMl7772nJ598Uunp6TWer5woXVZW1qB2AkBjXdXz29WPUjMbv0xqzomzOnXGKUkKDQ5QbBfvGS8LALh0GnVHISkpqana0SBDhgxRSkqKNmzYoLi4uGrnNmzYIEkaNmzYBevYuXOn1q5dq06dOmnWrFnVzpWWlmrLli2SpMTExCZsOQDUXdX9FHYfyldZuUsB/g3/nqfqakcJPSLkX485XwCAy0ejEoWuXbs2VTsaZOzYsXrzzTf1xhtv6MYbb1SfPn0kSampqXrzzTcVEhKie++9110+KytLpaWlioqKUps2Fd+g3XXXXfrb3/6m5cuXa9iwYRo4cKCkirkPzzzzjDIzM9W3b19de+21l76DACCpU0SoosJb6fipcyopLde+wwW6sntEg+vbWSVRYNgRAKA2Xrs8qiRFR0fr5z//uZ555hndfffd7ov8rVu3qqysTL/73e8UGfntLfuJEycqJydHzz//vMaOHStJuvrqq/X444/r1Vdf1YQJE9SvXz+Fh4dr586dys3NVUxMjF599VU2IgLgUX16ttfG5BxJ0s7Mkw1OFJyl5dqbferbeqts6gYAQFVenShI0n333acrrrhCb775ppKTkxUUFKT+/ftr2rRpGjx4cJ3qmDZtmhISEvTHP/5RqampKikpUXR0tH70ox9p0qRJDZ4MDQBNpU/PSHeikJqZp7tGNKyevYdPqbSsYm5Yl8hQRbZrnj1iAADez+sTBUkaMWKERoy4+F/NjRs31npu2LBhF53PAACe0rtbuAL8HSorNzqce0b5hSWKaBNc73p2VpkMndiDYUcAgNoxgw0AvEBIUIC+Ex3u/r3q8qb1UXUic9VJ0gAAnI9EAQC8RNVlUnc2YJnU/MIS5Zw4K0kK8HcoPqbhE6IBAL6PRAEAvETVOwC7DuapvJ770FS9C/Gd6HAFB/k3WdsAAL6HRAEAvETXDq3d8xLOFpfpwDeF9Xp8tWFHLIsKALgIEgUA8BIOh6PaBf7OzLrPU3C5TLVEgf0TAAAXQ6IAAF6k6jyF1HrMUzh0rFBni8skSW1bByk6KqzJ2wYA8C0kCgDgRRJ6RMjvfxtAHvzmtAqLnHV6XNW7D4k92rvrAACgNiQKAOBFQkMC1bNrxSaQRlLawbrdVdjJsqgAgHoiUQAAL3NVtXkKF08UzpWUKSPntPt3NloDANQFiQIAeJk+1fZTOCmXMRcsv/tQvrtMt05hats6qFnbBwDwDSQKAOBlunduo7BWgZKk00Wlyj525oLlqw07io28QEkAAL5FogAAXsbP4ag2zyD1IsukplXZaI39EwAAdUWiAABe6KrY6sOPanMsv0i5p4olScGB/oqLbtfsbQMA+AYSBQDwQlU3TNufc1pF/9sj4XxVJzv37hauAH8+9gEAdcNfDADwQm1bB6l75zaSJJcx2n2o5tWP0qoti8r8BABA3ZEoAICXuqraPAV7olBW7tLurHz374nMTwAA1AOJAgB4qaorGO08cFLmvGVSM3IKVOIslyR1aBeiThGtLmn7AADejUQBALxUr65t1So4QJKUd7pER04WVTtffVnU9nI4HJe0fQAA70aiAABeyt/PTwk9Ity/n7/6UdVEgWFHAID6IlEAAC92Vc+al0k9XeRU1tFCSRX7LlzZnUQBAFA/JAoA4MWqbqCWnn3KPSdh18E8Vc5Y6Nm1rUJDAjzQOgCANyNRAAAv1r5tiLp2aC1JKis3Ss+uWOUorcoqSH16cDcBAFB/JAoA4OX6nLdMqjFGOw9WmZ/Qk0QBAFB/JAoA4OX6nDdPISf3rArOOCVJrUMCFNu5raeaBgDwYiQKAODlrOh2Cgqs+Dg/ln9On+7IcZ+7skd7+fmxLCoAoP5IFADAywUG+Kt3t2+XSd303yPun/uwLCoAoIFIFADAB1RdJtVVZYdmEgUAQEORKACAD+hTw4TlLpGhat82xAOtAQD4AhIFAPABnSJCFRXeqtqxPrGRtZQGAODiSBQAwEecf1ehprsMAADUFYkCAPiIqsukBvj7yYoJ91xjAABej0QBAHxEQvcIdQyvmJMwKLGTggP9PdwiAIA3C/B0AwAATSMo0F//b8IA5eSeUa+u7TzdHACAlyNRAAAfEtYqUPFV9lQAAKChGHoEAAAAwIZEAQAAAIANiQIAAAAAGxIFAAAAADYkCgAAAABsSBQAAAAA2JAoAAAAALAhUQAAAABgQ6IAAAAAwIZEAQAAAIANiQIAAAAAGxIFAAAAADYkCgAAAABsSBQAAAAA2JAoAAAAALAhUQAAAABg4zDGGE834nLmchmVlZV7uhk+IygoQJLkdJZ5uCWoD+LmvYid9yJ23om4eS9Pxi4gwF9+fo56P45EAQAAAIANQ48AAAAA2JAoAAAAALAhUQAAAABgQ6IAAAAAwIZEAQAAAIANiQIAAAAAGxIFAAAAADYkCgAAAABsSBQAAAAA2JAoAAAAALAhUQAAAABgQ6IAAAAAwIZEAQAAAIANiQIAAAAAGxIFAAAAADYkCgAAAABsSBQAAAAA2JAoAAAAALAJ8HQDcPkqLy/XihUr9Pe//12ZmZkqLy9XTEyMbrvtNj388MMKDg6uVj41NVVLlixRamqqioqKFBcXpwcffFBjxoypsf4DBw5o0aJF2r59u06dOqVu3bpp3Lhxuu++++TnZ8+Rjx07piVLluhf//qXcnNz1aVLF/3gBz/QI488oqCgoGZ5DbxVS4vd+ebOnav33ntPzz//vMaOHdskffYFLS1uGRkZWrx4sb788kudPn1akZGRGjp0qB599FF16dKlWV4Db9XcsasqMzNTd9xxh6ZOnarp06fXWGb//v1aunSptm7dqry8PIWFhal///6aPHmy+vXr1xRd9hktLXbGGL3//vv661//qr1798rlcql3796aMGGCbrvttibpsy9o7rht2rRJy5cvd5fv2LGjhgwZounTp6tz58628p66RnEYY0yz1Q7Uory8XNOnT9dnn32m0NBQ9e3bVwEBAfr66691+vRp9e3bV3/605/UqlUrSdK//vUvTZkyRS6XSwMGDFCrVq20ZcsWFRcXa+rUqXriiSeq1b9nzx7dd999OnPmjPr376/IyEht3bpVp0+f1pgxYzR//vxq5Y8eParx48fr6NGjSkhIUExMjJKTk5Wbm6vrr79eb731lgIDAy/Z69OStbTYnW/Tpk2aPHmyJJEoVNHS4paSkqIJEyaoqKhIlmWpe/fuSk9PV1ZWliIiIrRixQrFxsZestenJWvu2FWVl5en+++/XxkZGXr88cdrvNjcunWrHnnkEZWUlKhXr16KjY3V4cOHtWfPHgUEBGjevHlccP5PS4udMUazZs3SmjVrFBoaqoEDB+rs2bPavn27ysvL9fTTT+uBBx5ottfDWzR33P7whz/opZdekp+fn66++mpFRkZq9+7dOnLkiNq3b68///nP6tWrl7u8R69RDOABK1asMJZlmTFjxpijR4+6j588edKMHz/eWJZl5s+fb4wx5ty5c2bw4MEmMTHRbNmyxV320KFDZujQocayLJOamuo+7nK5zJgxY4xlWWb16tXV6q48/vHHH1drz5QpU4xlWWbJkiXuY2fPnjUTJ040lmWZZcuWNflr4K1aWuyqys/PNzfccIOxLMtYlmVWrVrVlF33ai0tbnfeeaexLMv88Y9/dB8rKyszc+fONZZlmSlTpjT1S+C1mjN2VaWnp5tbbrnF/f6p+nlYyel0muHDhxvLsszbb79d7dw//vEPEx8fb6655hpz8uTJpui612tJsTPGmJUrVxrLssztt99ujh075j6+bds206dPH5OQkGBOnDjRFF33as0Zt3379pnevXubfv36meTkZPdxp9NpfvWrXxnLssy4ceOqtceT1ygkCvCIcePGGcuyqr2pKu3evdtYlmVGjBhhjDHmL3/5i7Esy8yePdtWds2aNcayLDNr1iz3sc2bNxvLssz9999vK799+3ZjWZa577773McyMjJMfHy8uemmm0x5eXm18jk5OebKK690twUtK3bn++lPf2oSExPNXXfdRaJwnpYUt/z8fGNZlrn++utt5U+ePGksyzL9+/dvUD99UXPGzhhjioqKzKJFi0zfvn2NZVlm5MiRtV5sfv755xd8H06fPt1YlmXef//9hnTV57Sk2BljzE033WQSEhLM/v37beeeffZZM2LECPPZZ581pKs+pTnjNn/+fGNZllmwYIGtvNPpNIMGDTKWZZnDhw8bYzx/jcJkZnhERESEevbsqauvvtp2rkePHpKk48ePS5I2b94sSRo1apSt7IgRI+Tv76/PP//cfayy/E033WQrXzkkYvv27Tpz5owk6YsvvpAxRiNGjLCNo77iiiuUkJCgnJwc7d+/vwE99T0tKXZVrV27Vh999JFmzJih73znO/XvmI9rSXGrfJ+dPXtWhYWF1crn5+dLktq1a1ev/vmy5oydJK1bt06LFi1SWFiYFi9erDvuuKPWthQXF6tPnz668cYbazx/fnsudy0pdrt371ZWVpaGDBlSbVhLpaefflobN27UsGHD6to9n9WccQsMDFR8fLwGDBhgKx8YGKjo6Ohq9Xv6GoVEAR7x+9//XuvWrVNoaKjtXGpqqiS5J/Ps27dPkmRZlq1sWFiYoqKilJeXpxMnTkiS+81SU3lJio2NlcvlUkZGRrXytV1c9uzZU5K0d+/eunXOx7Wk2FU6duyYnnnmGfXt21ePPPJIA3vm21pS3Nq2bat+/fqptLRUM2fO1N69e1VcXKyUlBQ9+eSTkqRJkyY1prs+pTljJ0nh4eGaOXOmPvnkE918880XbMvNN9+sVatWaerUqTWer2xPp06d6tAz39eSYpeWliZJuvrqq+VyuZSUlKTf/va3mjt3rlasWKGioqKGddIHNWfcHnvsMa1Zs0aDBw+2lS8qKnJ/nlbW7+lrFFY9QotijNGCBQskSbfccoskKTc3V5LUsWPHGh/TsWNHffPNNzpx4oQ6dOjgzsIvVF6S+01bWT4qKqpO5VEzT8Su0pw5c1RSUqIXXnhB/v7+je/MZcRTcZs3b56mTJmiLVu2VFsVpHXr1nrppZd0++23N7Jnvq8pYidJI0eO1MiRIxvdni1btmjr1q0KCQnR0KFDG12fL/NE7LKysiRJoaGhmjBhgv7zn/9UO//GG2/ojTfeqPFuAyo0Vdxq88Ybb6ioqEhXXXWVe+U3T1+jcEcBLcrLL7+sbdu2qUOHDnr44YclSefOnZMkhYSE1PiYyuOV34Y0d3nUzBOxk6R3331Xmzdv1hNPPOH+ZgV156m4RUVF6c4773Tfhh85cqSio6N19uxZvfXWWzp8+HAT9M63NUXsmsrhw4f1s5/9TJI0efJktW/fvknr9zWeiF3lML8lS5YoIyNDr776qrZt26Z169Zp9OjRysnJ0ZQpU1RcXNyg+i8HzRm3TZs2aenSpfLz83O/l5qy/obijgJajAULFugPf/iDgoKC9Oqrr7r/0Pj7+8sYI4fDccHHu1wud3lJzVYedp6K3aFDhzRv3jwNGDBAEyZMaGw3LjueipvT6dRDDz2kr7/+WvPnz3cvpelyubR48WItWbJEP/nJT7R27Vr2MKlFU8WuKWRlZWnixInKzc3V8OHDNW3atCar2xd5KnZOp1NSRcLw7rvvqn///pIqhgK+8sorysnJUUpKitasWaNx48Y16Dl8WXPG7bPPPtNjjz2m8vJyPfnkkxo4cKD7nKevUbijAI8rKyvT3Llz9dprryk4OFiLFy+uNsmnVatWMsaopKSkxsdXfvvRunVrd/mqx5uqfE1jFS93noxdeXm5fv7zn0uq2C/hYh+i+Jan33OrVq1ScnKyxo8fX229fT8/Pz322GMaNGiQDh06pI8++qiRPfU9TR27xkpJSdE999yjnJwc3XjjjVq4cGGdNkW8HHk6dpXv0969e7uThEoOh8OdHGzdurVB9fuq5o7bypUr9eijj6qkpEQzZsxw7wNUtf6q9dRWf3Ndo/BuhkedPXtWU6dO1Xvvvae2bdtq2bJlthUXKsflVY4DPN/54wMry9c2Xq+h5WsbH3i58nTs/vnPf2rHjh2KjIzUggUL9NRTT7n/VY69/etf/6qnnnpK69evb2RvfYen4ybJHZ8bbrihxvKV49t3795dt05dJpojdo2RlJSkBx98UCdOnNBtt92m119/3bZbLSq0hNhFRERIkrp27Vrj+SuuuELStyuPofnj9sorr2jOnDkqLy/XL37xC82cOdNWxtPXKCQK8JiCggI98MAD2rx5s7p06aJ33nmnxuXCKmf6n7/SjSSdOXNGx48fV/v27d2ThCrL17RUmDFGmZmZ8vf3d0/YulD5qs9b24oul6OWELvK8ZjZ2dn64IMPqv2rnLS3Y8cOffDBB0pPT2+ajnu5lhA3STp9+rQk1TrxvPJ4aWlpfbvos5ordg21atUqzZw5U+fOndNDDz2kl19+mWFitWgpsYuPj5dU+9K1lReczC+p0JxxM8Zozpw5+v3vf6+goCC9/PLLmjhxYo3t8PQ1CokCPMLpdGry5MlKS0tTXFyc/vKXv9T6n3zIkCGSpA0bNtjObdy4UeXl5dUy/MrySUlJtvLJycnKy8vTtddeq7CwsGrlP/30U9sYvyNHjmj37t3q2rWr4uLiGtBT39NSYjd27Filp6fX+O/HP/6xpIohSenp6TV+S3O5aSlxk75dzm/Tpk01Pv+///1vSRVDJNC8sWuIDRs26Omnn5bL5dLs2bM1e/Zshv7VoiXFbuDAgQoKCtLOnTuVnZ1tO1+5H8B1113X4OfwFc0dtxdeeEErV65UWFiYli1bVm0IZm31e+wapdm2cgMuYN68ecayLDNs2DBz8uTJC5YtLCx0b49edcfIrKwsM3ToUBMfH292797tPl5eXm6+//3vG8uyzHvvvec+fvLkSTNmzBhjWZZJSkqq9hyTJk0ylmWZl19+2X3s7Nmz5qGHHjKWZZnly5c3tss+o6XFria//OUv2Zn5PC0pbnv27DG9e/c2CQkJZv369dWe+6233jKWZZlBgwaZwsLCxnbbJzRn7GqycOHCWnf3PX78uLnuuuuMZVlm6dKlDevQZaQlxc4YY379618by7LM+PHjTX5+vvv4hx9+aOLj482gQYNMQUFB3Tvoo5ozbps2bTKWZZmEhASzbdu2OrXHk9coDmOMaZ4UBKhZfn6+hg8fruLiYiUmJl5wScv58+dLqvimsnJFgAEDBqh169b68ssvde7cOT3xxBO2zX9SUlI0YcIEFRUVqW/fvoqKitJ//vMfFRQUaNy4cXr22Werlc/OztY999yj3NxcWZal2NhYJScnKzc3V0OHDtXrr7+ugAAWCWuJsavJnDlztHLlSj3//PMaO3Zs4zrtA1pi3N555x395je/kcvl0pVXXqno6Gjt27dPBw8eVGhoqJYuXarrr7++6V8ML3MpYne+RYsWafHixXr88cc1ffr0audefPFFLVu2TIGBgbr11ltrvZNwyy23uNeZv1y1tNhJFWPuH374YSUnJ6tNmzYaMGCAcnNzlZqaquDgYC1atOiy35m5ueP24x//WKmpqerUqdMFP+OmTZvmHq7pyWsUEgVccuvXr6/zUJCqY8uTk5O1ZMkSff311zLGKC4uThMnTtTo0aNrfOz+/fu1cOFCbd26VU6nU927d9fdd9+tu+66q8ax0d98840WLlyozz//XIWFhYqJidEPf/hDTZgwgQl6/9NSY3c+EoXqWmrctm/frmXLlik5OVmFhYVq3769brjhBk2dOlU9evRoUF99zaWKXVUXutgcM2ZMnXaAnTFjxmU/5K+lxa6S0+nU8uXL9Y9//EOHDh1S69atde2112ratGlKTEysW+d8WHPG7dSpU9WWPr2Q5cuXVyvrqWsUEgUAAAAANkxmBgAAAGBDogAAAADAhkQBAAAAgA2JAgAAAAAbEgUAAAAANiQKAAAAAGxIFAAAAADYkCgAAAAAsCFRAAAAAGBDogAAAADAhkQBAAAAgE2ApxsAAPAthw8f1qhRo2o8FxgYqNDQUEVHR2vIkCG6++671aVLlyZ9/oyMDPXq1atJ6wSAy5HDGGM83QgAgO+omij06dNHQUFB7nOlpaXKy8vTkSNHZIxR69at9dxzz+l73/teo583NzdXv/3tb5Wdna1Vq1Y1uj4AuNxxRwEA0GwWLFig6Oho2/GjR4/qxRdf1IcffqinnnpK7dq10+DBgxv1XJs3b9a6deuUmJjYqHoAABWYowAAuOQ6d+6sl156SbfeeqtKS0s1Z84clZaWerpZAIAqSBQAAB7hcDj0f//3fwoODlZOTo7Wrl3r6SYBAKpg6BEAwGMiIyM1YsQIffzxx/r000915513us9lZ2dr+fLl+vLLL5WTkyOn06nw8HD17dtXDzzwgAYNGuQuO3LkSOXk5EiS0tLSFB8fr65du2rjxo3uMk6nU++++64++OADZWZmyhij2NhY3X777br//vsVHBx86ToOAF6ARAEA4FHXXHONPv74Y3311VfuY1988YUeffRRFRcXq02bNurWrZtKSkqUnZ2tDRs2KCkpSfPnz9ftt98uqWLSdGBgoA4ePKjQ0FD17t1bHTt2dNd36tQpPfLII0pJSZGfn59iYmIUEhKi9PR07dq1Sx9++KGWLVumiIiIS95/AGipGHoEAPCorl27SpJOnjyp0tJSOZ1O/eIXv1BxcbEmTpyof//731q9erXWrVunzz77TN/97ndljNFrr73mrmPhwoWaMmWKJCk2NlYrVqzQwoUL3ednz56tlJQUXXPNNfrkk0+0fv16rVmzRklJSbruuuuUlpamOXPmXNqOA0ALR6IAAPCo1q1bu38uKCjQzp07VVRUpE6dOmnWrFnVllft0KGDHn30UUnSgQMH5HK5Llp/amqqPv30U0VEROi1115Tt27d3Oe6dOmihQsXKjQ0VElJSdqzZ08T9gwAvBuJAgDAo6quduRwONS/f39t375d69evl7+/v618q1atJEkul0slJSUXrT8pKUmSNHjwYLVv3952PjIy0r006+eff96gPgCAL2KOAgDAo86cOeP+uU2bNu6fQ0JClJaWpl27dikrK0tZWVnau3evDhw44C5TlzsKGRkZkqSvvvpK99xzT41lDh8+LEnV6gaAyx2JAgDAozIzMyVJ0dHR7mFG27Zt0/PPP6+0tDR3OYfDoe7du2vMmDFas2ZNneuvTESOHz+u48ePX7BsYWFhfZsPAD6LRAEA4FE7duyQJPXr10+StHfvXv3kJz+R0+nUddddpx/+8IeKj49Xr169FBYWpgMHDtQrUagcqjRr1ixNmjSpydsPAL6KRAEA4DFHjhzRli1bJEmjR4+WJL399ttyOp0aPHiwli1bZpuncPTo0Xo9R/fu3SV9e+eiJrt27ZLD4VBMTIzCwsLqVT8A+ComMwMAPOY3v/mNXC6X4uLiNGLECElyb5wWHx9f42TmlStXun8uLy93/+znV/OftOHDh0uS1q9fr7y8PNv5wsJCTZw4UXfccYfWrVvX4L4AgK8hUQAAXHIHDx7UY489pqSkJAUGBurZZ591JwU9evSQJH300Uc6dOiQ+zEFBQV67rnntHbtWvexqqsehYaGSqqYi+B0Ot3HBw4cqAEDBuj06dOaMmVKtTqPHTum6dOnq6CgQB07dtSYMWOapb8A4I0cxhjj6UYAAHzH4cOHNWrUKEkVOyZX3QehpKREx48fV25uriQpLCxM8+bN08iRI91lsrOzNXbsWJ0+fVoBAQGKjY2Vw+HQwYMH5XQ61bt3bx09elSnTp3S+++/r8TEREkVKxaNHj1axhhdccUV6ty5s1asWCGpIiGYNGmS9u3bJ4fDobi4OPn5+SkzM1OlpaUKCwvTn//8Z1155ZWX6mUCgBaPRAEA0KSqJgrnCwgIUJs2bdSzZ08NGTJE48ePr3FvgyNHjmjhwoX66quvdPToUYWEhCg2Nlbf//73de+992r27Nn68MMPNXPmTM2YMcP9uJUrV2rp0qX65ptvFB4ertWrV6tDhw6SpHPnzumdd97RunXr3AlCVFSUbrzxRk2ePFnR0dHN84IAgJciUQAAAABgwxwFAAAAADYkCgAAAABsSBQAAAAA2JAoAAAAALAhUQAAAABgQ6IAAAAAwIZEAQAAAIANiQIAAAAAGxIFAAAAADYkCgAAAABsSBQAAAAA2JAoAAAAALAhUQAAAABgQ6IAAAAAwIZEAQAAAIANiQIAAAAAGxIFAAAAADYkCgAAAABs/j/3IS9AKtYP7gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 389
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot( data=(yearly_mean_Hydro- yearly_min_Hydro) ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wxtQL85iYnjf",
    "outputId": "c5cbafde-2bc7-49b8-a1d7-3faf7b009bbe"
   },
   "outputs": [],
   "source": [
    "#monthly_max= monthly_max_Hydro.merge(monthly_max_Rain.to_frame(),left_index=True, right_index=True); monthly_max"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kmtO3UOTYnjf"
   },
   "source": [
    "#### Period 2004 - Jul 2007"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "xFHzfKaeYnjf"
   },
   "outputs": [],
   "source": [
    "#monthly_max2004= monthly_max.loc[\"2004\":\"2007-06-30\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "idRQoNUQYnjf",
    "outputId": "a24d65d0-2fbe-4f59-eb0b-8dc16bbea5f7"
   },
   "outputs": [],
   "source": [
    "#monthly_max2004.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "1eO8dOvbYnjf",
    "outputId": "33f17139-48c3-469f-ec7a-2f4f8bc31c32"
   },
   "outputs": [],
   "source": [
    "#monthly_max2004[\"2004\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "B9KMsISSYnjf"
   },
   "source": [
    "I'll make a  small correction - 10 cm - for those low 2007 hydrometer values. It seems reasonable for the time being. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "JIdV504qYnjf",
    "outputId": "826fa87e-e53b-4494-de8e-ed6caf36427c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-46-4aef3dfa3cda>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  River_Arno.loc[\"2007-01-01\":\"2007-06-01\"][\"Hydrometry_Nave_di_Rosano\"]= River_Arno.loc[\"2007-01-01\":\"2007-06-01\"][\"Hydrometry_Nave_di_Rosano\"].add(0.15); River_Arno.loc[\"2007-01-01\":\"2007-06-01\"][\"Hydrometry_Nave_di_Rosano\"]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2007-01-01    1.31\n",
       "2007-01-02    1.46\n",
       "2007-01-03    1.48\n",
       "2007-01-04    1.68\n",
       "2007-01-05    1.65\n",
       "              ... \n",
       "2007-05-28    1.32\n",
       "2007-05-29    1.68\n",
       "2007-05-30    1.58\n",
       "2007-05-31    1.39\n",
       "2007-06-01    1.38\n",
       "Name: Hydrometry_Nave_di_Rosano, Length: 152, dtype: float64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#monthly_max2004A= monthly_max2004.loc[\"2007-01-01\":\"2007-06-01\"].add(0.1) # \n",
    "River_Arno.loc[\"2007-01-01\":\"2007-06-01\"][\"Hydrometry_Nave_di_Rosano\"]= River_Arno.loc[\"2007-01-01\":\"2007-06-01\"][\"Hydrometry_Nave_di_Rosano\"].add(0.15); River_Arno.loc[\"2007-01-01\":\"2007-06-01\"][\"Hydrometry_Nave_di_Rosano\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "v-EXSEzrYnjg",
    "outputId": "2bbf9112-59b7-499e-eea6-8ad9140a3470"
   },
   "outputs": [],
   "source": [
    "#monthly_max2004A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "AO6FuW13Ynjg",
    "outputId": "4faa43ba-76a1-4f8c-aa92-dec51912792e"
   },
   "outputs": [],
   "source": [
    "#monthly_max2004.update( monthly_max2004A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bAKZkp-cYnjg"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i1vagW8UYnjg"
   },
   "source": [
    "Here I made some hydrographs for the 4 seasons...\n",
    "you can notice the logarithmic shape of the curve, but the fit is not ideal yet:\n",
    "- better to split further up in to monthly groups of data\n",
    "- the flood events distort the fitting, so they need another grouping  "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "i1vagW8UYnjg"
   },
   "source": [
    "sns.scatterplot(x=\"Rain_TOT\", y=\"Hydrometry_Nave_di_Rosano\",data=monthly_max2004); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cmI9ql65wwlK"
   },
   "source": [
    "We split up the data in 4 groups according to the seasons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "NU6C76_lYnjg"
   },
   "outputs": [],
   "source": [
    "#monthly_max2004Fa= monthly_max2004[monthly_max2004.index.month.isin([9,10,11])]\n",
    "#monthly_max2004Wi= monthly_max2004[monthly_max2004.index.month.isin([12,1,2])]\n",
    "#monthly_max2004Sp= monthly_max2004[monthly_max2004.index.month.isin([3,4,5])]\n",
    "#monthly_max2004Su= monthly_max2004[monthly_max2004.index.month.isin([6,7,8])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2KjhR5RFYnjk"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uvK3ON_QYnjj"
   },
   "source": [
    "#### Case 12/08/2006\n",
    "A day of torrential rainfall: 155 mm water in 24 hours for the 3 stations combined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "id": "5SGM0ESzYnjj",
    "outputId": "aff4a798-8b3e-4c02-ffce-1e6a412feb58"
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>Rainfall_X</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>winteroverflow</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-08-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.80</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.96</td>\n",
       "      <td>5616.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>11.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.70</td>\n",
       "      <td>1.04</td>\n",
       "      <td>3.71</td>\n",
       "      <td>5618.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>31</td>\n",
       "      <td>4.4</td>\n",
       "      <td>-52.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-03</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.60</td>\n",
       "      <td>1.04</td>\n",
       "      <td>3.09</td>\n",
       "      <td>5545.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>31</td>\n",
       "      <td>9.8</td>\n",
       "      <td>-51.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.90</td>\n",
       "      <td>5535.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.70</td>\n",
       "      <td>1.07</td>\n",
       "      <td>2.76</td>\n",
       "      <td>5535.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.35</td>\n",
       "      <td>1.08</td>\n",
       "      <td>2.87</td>\n",
       "      <td>5535.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>31</td>\n",
       "      <td>0.2</td>\n",
       "      <td>-56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-07</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.35</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3.05</td>\n",
       "      <td>5535.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-08</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.05</td>\n",
       "      <td>1.04</td>\n",
       "      <td>3.18</td>\n",
       "      <td>5535.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>0.4</td>\n",
       "      <td>-56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-09</th>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>19.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>19.6</td>\n",
       "      <td>4.6</td>\n",
       "      <td>23.30</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2.86</td>\n",
       "      <td>5541.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>5.8</td>\n",
       "      <td>-55.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-10</th>\n",
       "      <td>1.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>24.20</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3.02</td>\n",
       "      <td>5543.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>1.8</td>\n",
       "      <td>-54.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-11</th>\n",
       "      <td>0.4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.25</td>\n",
       "      <td>1.10</td>\n",
       "      <td>2.68</td>\n",
       "      <td>5489.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>3.2</td>\n",
       "      <td>-54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-12</th>\n",
       "      <td>25.2</td>\n",
       "      <td>20.4</td>\n",
       "      <td>34.8</td>\n",
       "      <td>108.6</td>\n",
       "      <td>26.8</td>\n",
       "      <td>95.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>13.2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>11.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>40.2</td>\n",
       "      <td>19.6</td>\n",
       "      <td>19.85</td>\n",
       "      <td>1.16</td>\n",
       "      <td>2.32</td>\n",
       "      <td>5701.8</td>\n",
       "      <td>154.2</td>\n",
       "      <td>61.6</td>\n",
       "      <td>24.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>215.8</td>\n",
       "      <td>97.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-13</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>25.4</td>\n",
       "      <td>20.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>50.2</td>\n",
       "      <td>13.4</td>\n",
       "      <td>20.40</td>\n",
       "      <td>1.13</td>\n",
       "      <td>2.40</td>\n",
       "      <td>5702.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>30.6</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>32</td>\n",
       "      <td>0.8</td>\n",
       "      <td>-56.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-14</th>\n",
       "      <td>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.2</td>\n",
       "      <td>9.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.55</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2.57</td>\n",
       "      <td>5760.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>20.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>57.4</td>\n",
       "      <td>-19.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.45</td>\n",
       "      <td>1.04</td>\n",
       "      <td>2.56</td>\n",
       "      <td>5680.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>24.20</td>\n",
       "      <td>1.04</td>\n",
       "      <td>3.02</td>\n",
       "      <td>5680.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.30</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.63</td>\n",
       "      <td>5686.2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>5.8</td>\n",
       "      <td>-56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>26.00</td>\n",
       "      <td>1.06</td>\n",
       "      <td>3.36</td>\n",
       "      <td>5686.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>0.6</td>\n",
       "      <td>-56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-19</th>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>26.05</td>\n",
       "      <td>1.05</td>\n",
       "      <td>3.37</td>\n",
       "      <td>5690.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-55.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-20</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>24.80</td>\n",
       "      <td>1.06</td>\n",
       "      <td>3.13</td>\n",
       "      <td>5675.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>33</td>\n",
       "      <td>0.8</td>\n",
       "      <td>-55.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2006-08-01                0.0                 0.0               0.0   \n",
       "2006-08-02                0.0                 0.0               0.8   \n",
       "2006-08-03                1.0                 2.6               4.0   \n",
       "2006-08-04                0.0                 0.0               0.0   \n",
       "2006-08-05                0.0                 0.0               0.0   \n",
       "2006-08-06                0.0                 0.0               0.0   \n",
       "2006-08-07                0.0                 0.0               0.0   \n",
       "2006-08-08                0.2                 0.0               0.2   \n",
       "2006-08-09                0.4                 0.6               2.4   \n",
       "2006-08-10                1.8                 0.0               0.0   \n",
       "2006-08-11                0.4                 0.4               0.8   \n",
       "2006-08-12               25.2                20.4              34.8   \n",
       "2006-08-13                0.2                 0.0               0.2   \n",
       "2006-08-14               16.0                11.0              12.2   \n",
       "2006-08-15                0.0                 0.0               0.0   \n",
       "2006-08-16                0.0                 0.0               0.0   \n",
       "2006-08-17                0.0                 0.0               2.8   \n",
       "2006-08-18                0.0                 0.0               0.0   \n",
       "2006-08-19                0.4                 0.2               1.6   \n",
       "2006-08-20                0.6                 0.0               0.0   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  Rainfall_Vernio  \\\n",
       "Date                                                              \n",
       "2006-08-01               0.0               0.0              0.0   \n",
       "2006-08-02               3.6               0.0             17.0   \n",
       "2006-08-03               1.6               0.6              0.6   \n",
       "2006-08-04               0.0               0.0              0.0   \n",
       "2006-08-05               0.0               0.0              0.0   \n",
       "2006-08-06               0.2               0.0              0.0   \n",
       "2006-08-07               0.0               0.0              0.0   \n",
       "2006-08-08               0.0               0.0              0.0   \n",
       "2006-08-09               0.0               2.4              0.0   \n",
       "2006-08-10               0.0               0.0              0.0   \n",
       "2006-08-11               1.6               0.0              1.6   \n",
       "2006-08-12             108.6              26.8             95.0   \n",
       "2006-08-13               0.0               0.4              0.0   \n",
       "2006-08-14               9.6               8.6             10.2   \n",
       "2006-08-15               0.0               0.0              0.0   \n",
       "2006-08-16               0.0               0.0              0.0   \n",
       "2006-08-17               0.4               2.6              0.2   \n",
       "2006-08-18               0.4               0.2              0.2   \n",
       "2006-08-19               0.4               1.4              0.2   \n",
       "2006-08-20               0.0               0.2              0.0   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
       "2006-08-01            0.0               0.0              0.0   \n",
       "2006-08-02            0.0               0.0              0.0   \n",
       "2006-08-03            0.0               0.0              0.0   \n",
       "2006-08-04            0.6               8.6              0.2   \n",
       "2006-08-05            0.0               0.0              0.0   \n",
       "2006-08-06            0.0               0.0              0.0   \n",
       "2006-08-07            0.0               0.0              0.0   \n",
       "2006-08-08            0.0               0.0              0.0   \n",
       "2006-08-09            2.4              19.6              0.0   \n",
       "2006-08-10            0.6               0.8              0.0   \n",
       "2006-08-11            0.0               0.0              0.0   \n",
       "2006-08-12           16.0              13.2             11.4   \n",
       "2006-08-13           20.8              25.4             20.4   \n",
       "2006-08-14            0.0               0.4              0.0   \n",
       "2006-08-15            1.2               0.6              0.0   \n",
       "2006-08-16            0.0               0.0              0.0   \n",
       "2006-08-17            0.0               0.0              0.0   \n",
       "2006-08-18            2.0               1.0              0.8   \n",
       "2006-08-19            0.0               0.0              0.0   \n",
       "2006-08-20            0.2               0.0              0.0   \n",
       "\n",
       "            Rainfall_Montevarchi  Rainfall_S_Savino  Rainfall_Laterina  \\\n",
       "Date                                                                     \n",
       "2006-08-01                   0.0                0.4                0.0   \n",
       "2006-08-02                   0.2               11.8                0.0   \n",
       "2006-08-03                   0.0                0.0                0.0   \n",
       "2006-08-04                   0.0                4.8                8.2   \n",
       "2006-08-05                   0.0                0.0                0.0   \n",
       "2006-08-06                   0.0                0.0                0.8   \n",
       "2006-08-07                   0.0                0.0                0.0   \n",
       "2006-08-08                   1.4                0.0                0.0   \n",
       "2006-08-09                   1.2                1.0                3.0   \n",
       "2006-08-10                   0.0                4.8                0.0   \n",
       "2006-08-11                   0.0                0.2                1.2   \n",
       "2006-08-12                   1.2               11.8                1.8   \n",
       "2006-08-13                   6.0                4.2                4.4   \n",
       "2006-08-14                   0.6                0.0                0.0   \n",
       "2006-08-15                   0.2                0.0                0.2   \n",
       "2006-08-16                   0.4                0.0                0.0   \n",
       "2006-08-17                   0.0                0.0                0.0   \n",
       "2006-08-18                   0.8                0.8                0.0   \n",
       "2006-08-19                   0.0                0.0                0.0   \n",
       "2006-08-20                   0.0                0.0                0.0   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  Temperature_Firenze  \\\n",
       "Date                                                                     \n",
       "2006-08-01                0.0                 0.0                28.80   \n",
       "2006-08-02                0.0                 0.0                27.70   \n",
       "2006-08-03                0.0                 0.0                24.60   \n",
       "2006-08-04                5.6                 5.0                23.50   \n",
       "2006-08-05                0.0                 0.0                22.70   \n",
       "2006-08-06                0.0                 0.0                23.35   \n",
       "2006-08-07                0.0                 0.0                24.35   \n",
       "2006-08-08                0.0                 0.0                25.05   \n",
       "2006-08-09               19.6                 4.6                23.30   \n",
       "2006-08-10                3.0                 2.0                24.20   \n",
       "2006-08-11                0.0                 0.0                22.25   \n",
       "2006-08-12               40.2                19.6                19.85   \n",
       "2006-08-13               50.2                13.4                20.40   \n",
       "2006-08-14                0.2                 0.0                21.55   \n",
       "2006-08-15                1.2                 0.0                21.45   \n",
       "2006-08-16                0.2                 0.2                24.20   \n",
       "2006-08-17                0.0                 0.0                27.30   \n",
       "2006-08-18                4.2                 1.4                26.00   \n",
       "2006-08-19                0.4                 0.2                26.05   \n",
       "2006-08-20                0.4                 0.2                24.80   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  Tetens  Rainf365  RainNO_3  RainNO_2  \\\n",
       "Date                                                                          \n",
       "2006-08-01                       1.05    3.96    5616.0       0.0       0.0   \n",
       "2006-08-02                       1.04    3.71    5618.2       3.6       0.8   \n",
       "2006-08-03                       1.04    3.09    5545.6       5.2       4.6   \n",
       "2006-08-04                       1.02    2.90    5535.0       0.0       0.0   \n",
       "2006-08-05                       1.07    2.76    5535.0       0.0       0.0   \n",
       "2006-08-06                       1.08    2.87    5535.2       0.2       0.0   \n",
       "2006-08-07                       1.03    3.05    5535.2       0.0       0.0   \n",
       "2006-08-08                       1.04    3.18    5535.6       0.2       0.2   \n",
       "2006-08-09                       1.06    2.86    5541.4       1.0       4.8   \n",
       "2006-08-10                       1.03    3.02    5543.2       1.8       0.0   \n",
       "2006-08-11                       1.10    2.68    5489.8       2.4       0.8   \n",
       "2006-08-12                       1.16    2.32    5701.8     154.2      61.6   \n",
       "2006-08-13                       1.13    2.40    5702.6       0.2       0.6   \n",
       "2006-08-14                       1.06    2.57    5760.0      36.6      20.8   \n",
       "2006-08-15                       1.04    2.56    5680.4       0.0       0.0   \n",
       "2006-08-16                       1.04    3.02    5680.4       0.0       0.0   \n",
       "2006-08-17                       1.05    3.63    5686.2       0.4       5.4   \n",
       "2006-08-18                       1.06    3.36    5686.8       0.4       0.2   \n",
       "2006-08-19                       1.05    3.37    5690.8       1.0       3.0   \n",
       "2006-08-20                       1.06    3.13    5675.0       0.6       0.2   \n",
       "\n",
       "            Rainfall_X  month  year  week  Rainfall  winteroverflow  \n",
       "Date                                                                 \n",
       "2006-08-01         0.4      8  2006    31       0.0           -56.4  \n",
       "2006-08-02        12.0      8  2006    31       4.4           -52.8  \n",
       "2006-08-03         0.0      8  2006    31       9.8           -51.2  \n",
       "2006-08-04         5.0      8  2006    31       0.0           -56.4  \n",
       "2006-08-05         0.0      8  2006    31       0.0           -56.4  \n",
       "2006-08-06         0.0      8  2006    31       0.2           -56.2  \n",
       "2006-08-07         0.0      8  2006    32       0.0           -56.4  \n",
       "2006-08-08         1.4      8  2006    32       0.4           -56.2  \n",
       "2006-08-09         2.2      8  2006    32       5.8           -55.4  \n",
       "2006-08-10         4.8      8  2006    32       1.8           -54.6  \n",
       "2006-08-11         0.2      8  2006    32       3.2           -54.0  \n",
       "2006-08-12        24.4      8  2006    32     215.8            97.8  \n",
       "2006-08-13        30.6      8  2006    32       0.8           -56.2  \n",
       "2006-08-14         0.6      8  2006    33      57.4           -19.8  \n",
       "2006-08-15         0.2      8  2006    33       0.0           -56.4  \n",
       "2006-08-16         0.4      8  2006    33       0.0           -56.4  \n",
       "2006-08-17         0.0      8  2006    33       5.8           -56.0  \n",
       "2006-08-18         2.4      8  2006    33       0.6           -56.0  \n",
       "2006-08-19         0.0      8  2006    33       4.0           -55.4  \n",
       "2006-08-20         0.0      8  2006    33       0.8           -55.8  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"2006-08-01\":\"2006-08-20\"]#.loc[:,[\"Rain_TOT\",\"Hydrometry_Nave_di_Rosano\",'flood_UFL','flood_Cas',\"flood_Si\",]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bzS6r1l6Ynjk"
   },
   "source": [
    "#### Monthly maxima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "id": "xOdGlg3HYnjk"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"month\"] = River_Arno.index.month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wVE1u9MtYnjk"
   },
   "source": [
    "monthly_max_Hydro=River_Arno.groupby('month')[['Hydrometry_Nave_di_Rosano']].max() #'W-Mon'.sort_values(by=), on='Date'\n",
    "monthly_max_Rain_TOT = River_Arno.groupby('month')[['Rain_TOT']].max()\n",
    "monthly_max_Rainfall =River_Arno.groupby('month')[['Rainfall']].max()\n",
    "monthly_max_Rain_Bib =River_Arno.groupby('month')[['Rainfall_Bibbiena']].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "id": "0L5blyzvYnjk"
   },
   "outputs": [],
   "source": [
    "#River_Arno[\"monthly_min_Hydro\"] makes NANS= River_Arno.Hydrometry_Nave_di_Rosano.resample('MS').min()  \n",
    "monthly_max_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('MS').max() \n",
    "#monthly_max_Rain_TOT = River_Arno.Rain_TOT.resample('MS').max()\n",
    "monthly_max_Rainfall = River_Arno.Rainfall.resample('MS').max()\n",
    "monthly_max_Rain_Bib = River_Arno.Rainfall_Bibbiena.resample('MS').max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "8kHMdzQ-Ynjk"
   },
   "outputs": [],
   "source": [
    "#yearly_min_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('YS').min() \n",
    "#yearly_mean_Hydro = River_Arno.Hydrometry_Nave_di_Rosano.resample('YS').mean() \n",
    "#yearly_min_Hydro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "1yXkcF9iYnjk",
    "outputId": "b908b096-36fe-415d-86ec-efdeb054cc20"
   },
   "outputs": [],
   "source": [
    "River_Arno.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "j-OPNtFCYnjl"
   },
   "outputs": [],
   "source": [
    "#River_Arno.loc[\"2006-11-01\":\"2006-11-30\"].loc[:,['flood_UFL','flood_Cas',\"flood_Si\",]]#\"monthly_max_Hydro\",\"monthly_max_Rainfall\","
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gk0HaH-LYnjn"
   },
   "source": [
    "#### period Jul 2007 - 2018\n",
    "Note: this period has only 5 rainfall sets for the whole period at its disposal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "id": "_6LmxovJYnjn",
    "outputId": "4f41e758-9305-41e0-8d3f-fbf678d91bd8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2004-01-01    3.15\n",
       "2004-02-01    3.83\n",
       "2004-03-01    2.56\n",
       "2004-04-01    3.51\n",
       "2004-05-01    4.10\n",
       "Freq: MS, Name: Hydrometry_Nave_di_Rosano, dtype: float64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_max_Hydro[\"2004\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "id": "HV4l83SaYnjn"
   },
   "outputs": [],
   "source": [
    "monthly_max_Rainfall = River_Arno.Rainfall.resample('MS').max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "id": "0unNh7WvYnjn"
   },
   "outputs": [],
   "source": [
    "monthly_max_Hydro= monthly_max_Hydro.to_frame()\n",
    "monthly_max2= monthly_max_Hydro.merge(monthly_max_Rainfall.to_frame(),left_index=True, right_index=True); #monthly_max .to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "id": "V_uHSgMrYnjo"
   },
   "outputs": [],
   "source": [
    "monthly_max2008= monthly_max2.loc[\"2007-07-01\":\"2018\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "id": "kZv8JUlfYnjo",
    "outputId": "e5548eec-dba9-4753-e38d-22adb14ba6f3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Rainfall</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-07-01</th>\n",
       "      <td>1.11</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-08-01</th>\n",
       "      <td>1.19</td>\n",
       "      <td>141.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-01</th>\n",
       "      <td>1.27</td>\n",
       "      <td>156.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-10-01</th>\n",
       "      <td>1.40</td>\n",
       "      <td>145.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-11-01</th>\n",
       "      <td>1.25</td>\n",
       "      <td>19.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>1.11</td>\n",
       "      <td>54.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>1.14</td>\n",
       "      <td>81.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>1.33</td>\n",
       "      <td>203.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-01</th>\n",
       "      <td>1.78</td>\n",
       "      <td>24.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-01</th>\n",
       "      <td>1.75</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>138 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Hydrometry_Nave_di_Rosano  Rainfall\n",
       "Date                                           \n",
       "2007-07-01                       1.11       5.6\n",
       "2007-08-01                       1.19     141.6\n",
       "2007-09-01                       1.27     156.4\n",
       "2007-10-01                       1.40     145.0\n",
       "2007-11-01                       1.25      19.8\n",
       "...                               ...       ...\n",
       "2018-08-01                       1.11      54.2\n",
       "2018-09-01                       1.14      81.6\n",
       "2018-10-01                       1.33     203.2\n",
       "2018-11-01                       1.78      24.6\n",
       "2018-12-01                       1.75      33.0\n",
       "\n",
       "[138 rows x 2 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_max2008"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q46huel2Ynjo"
   },
   "source": [
    "correction for low 2007 hydrometer values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "id": "1MLkmkg1Ynjo"
   },
   "outputs": [],
   "source": [
    "monthly_max2008A= monthly_max2008.loc[\"2007-01-01\":\"2007-12-31\"].add(0.1) # monthly_max2004.index=="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "id": "MuhEtAPdYnjo",
    "outputId": "5ddca03e-836c-4087-ad5d-0a1c4d39b96e"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Rainfall</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-07-01</th>\n",
       "      <td>1.21</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-08-01</th>\n",
       "      <td>1.29</td>\n",
       "      <td>141.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-09-01</th>\n",
       "      <td>1.37</td>\n",
       "      <td>156.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-10-01</th>\n",
       "      <td>1.50</td>\n",
       "      <td>145.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-11-01</th>\n",
       "      <td>1.35</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-12-01</th>\n",
       "      <td>1.75</td>\n",
       "      <td>69.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Hydrometry_Nave_di_Rosano  Rainfall\n",
       "Date                                           \n",
       "2007-07-01                       1.21       5.7\n",
       "2007-08-01                       1.29     141.7\n",
       "2007-09-01                       1.37     156.5\n",
       "2007-10-01                       1.50     145.1\n",
       "2007-11-01                       1.35      19.9\n",
       "2007-12-01                       1.75      69.9"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_max2008A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "id": "RW7garQhYnjo",
    "outputId": "60fb2a99-d99d-4354-f86d-1632a42f6d45"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\program files\\python38\\lib\\site-packages\\pandas\\core\\frame.py:6596: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[col] = expressions.where(mask, this, that)\n"
     ]
    }
   ],
   "source": [
    "monthly_max2008.update( monthly_max2008A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "id": "fyVDVtnHYnjo",
    "outputId": "7f55b2a8-241e-4594-f117-5945c8df1be8"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1998-01-01</th>\n",
       "      <td>3.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-02-01</th>\n",
       "      <td>2.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-03-01</th>\n",
       "      <td>2.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-04-01</th>\n",
       "      <td>3.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-05-01</th>\n",
       "      <td>2.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>2.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>4.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>1.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-01</th>\n",
       "      <td>1.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-01</th>\n",
       "      <td>2.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>270 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Hydrometry_Nave_di_Rosano\n",
       "Date                                 \n",
       "1998-01-01                       3.04\n",
       "1998-02-01                       2.33\n",
       "1998-03-01                       2.29\n",
       "1998-04-01                       3.22\n",
       "1998-05-01                       2.53\n",
       "...                               ...\n",
       "2020-02-01                       2.13\n",
       "2020-03-01                       4.51\n",
       "2020-04-01                       1.92\n",
       "2020-05-01                       1.95\n",
       "2020-06-01                       2.14\n",
       "\n",
       "[270 rows x 1 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_max_Hydro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "id": "Uu33jSBMYnjp",
    "outputId": "06b39704-c326-4ee0-c6e5-f73b4ff8a2de"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "1998-01-01     NaN\n",
       "1998-02-01     NaN\n",
       "1998-03-01     NaN\n",
       "1998-04-01     NaN\n",
       "1998-05-01     NaN\n",
       "              ... \n",
       "2020-02-01    35.0\n",
       "2020-03-01    88.4\n",
       "2020-04-01    29.6\n",
       "2020-05-01    36.2\n",
       "2020-06-01    66.8\n",
       "Freq: MS, Name: Rainfall, Length: 270, dtype: float64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_max_Rainfall"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "WKHbxV5bYnjp"
   },
   "source": [
    "sns.scatterplot(x=\"monthly_max_Rainfall\", y=\"monthly_max_Hydro\",data= monthly_max2008, hue=\"flood_Cas\", style=\"flood_Cas\"); \n",
    "##### monthly_max_Hydro \tmonthly_max_Rainfall \tflood_UFL \tflood_Cas \tflood_Si"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RghuZzRaYnjs"
   },
   "source": [
    "It might be good to separate the flood or extreme events from the rest."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "b6_icHIWYnjs"
   },
   "source": [
    "I read somewhere that during 2018-2019 there were infrastructure works, so this could have caused some sediment displacement, and perhaps off record river levels of 6m. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d9qHUfCMYnjs"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O7550dw2Ynjt"
   },
   "source": [
    "### Monthly maximum flow rates river Arno at Nave di Rosano\n",
    "First goal is to understand  better the seasonal differences, and my 2nd goal is to derive flow rate equations for flood events."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uvgR5S0uYnju"
   },
   "source": [
    "#### period Jul 2007 - 2018 v.2\n",
    "New versions of the seasonal maxima sets becos of reshuffle of some months for more consistent series. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "id": "h6QglwhYYnju"
   },
   "outputs": [],
   "source": [
    "monthly_max2018Fa=pd.read_csv( \"http://vanoproy.be/css/monthly_max2018Fa.csv\", sep=\",\", engine='python', encoding=\"UTF-8\" ) # ../input/\n",
    "monthly_max2018Fa[\"Date\"] = pd.to_datetime( monthly_max2018Fa.Date, format='%Y/%m/%d' ) # US dates\n",
    "monthly_max2018Fa.set_index(\"Date\", inplace=True)\n",
    "monthly_max2018Fa[\"Season\"] =  monthly_max2018Fa.index.year; monthly_max2018Fa[\"Month\"] =  monthly_max2018Fa.index.month\n",
    "monthly_max2018Wi=pd.read_csv(\"http://vanoproy.be/css/monthly_max2018Wi.csv\", sep=\",\", engine='python', encoding=\"UTF-8\" )\n",
    "monthly_max2018Wi[\"Date\"] = pd.to_datetime( monthly_max2018Wi.Date, format='%Y/%m/%d' ) # US dates\n",
    "monthly_max2018Wi.set_index(\"Date\", inplace=True)\n",
    "monthly_max2018Wi[\"Season\"] =  monthly_max2018Wi.index.year; monthly_max2018Wi[\"Month\"] =  monthly_max2018Wi.index.month\n",
    "monthly_max2018Sp=pd.read_csv( \"http://vanoproy.be/css/monthly_max2018Sp.csv\", sep=\",\", engine='python', encoding=\"UTF-8\" )\n",
    "monthly_max2018Sp[\"Date\"] = pd.to_datetime( monthly_max2018Sp.Date, format='%Y/%m/%d' ) # US dates\n",
    "monthly_max2018Sp.set_index(\"Date\", inplace=True)\n",
    "monthly_max2018Sp[\"Season\"] =  monthly_max2018Sp.index.year; monthly_max2018Sp[\"Month\"] =  monthly_max2018Sp.index.month\n",
    "monthly_max2018Su=pd.read_csv( \"http://vanoproy.be/css/monthly_max2018Su.csv\", sep=\",\", engine='python', encoding=\"UTF-8\" )\n",
    "monthly_max2018Su[\"Date\"] = pd.to_datetime( monthly_max2018Su.Date, format='%Y/%m/%d' ) # US dates\n",
    "monthly_max2018Su.set_index(\"Date\", inplace=True)\n",
    "monthly_max2018Su[\"Season\"] =  monthly_max2018Su.index.year; monthly_max2018Su[\"Month\"] =  monthly_max2018Su.index.month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "correction for a wrongly grouped month June. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "id": "PtfUVWb5Ynju"
   },
   "outputs": [],
   "source": [
    "monthly_max2018Su= monthly_max2018Su.loc[ monthly_max2018Su.Month !=6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "id": "nrwy-ZK3Ynju",
    "outputId": "e0968130-7f63-4318-a707-be9aabfed29e"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1059
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(18, 4)) \n",
    "sns.scatterplot(x=\"Rainfall\", y=\"Hydrometry_Nave_di_Rosano\",data= monthly_max2018Fa, hue=\"Season\", style=\"Month\", palette=\"Reds\"); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 4 plots show 2 series in the hydrographs: normal flow and flood flow conditions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "id": "BasLpGeWYnju",
    "outputId": "83a9bbdb-e03a-4a3d-8e9c-d146935ee236"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1049
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(18, 4)) \n",
    "sns.scatterplot(x=\"Rainfall\", y=\"Hydrometry_Nave_di_Rosano\",data= monthly_max2018Wi, hue=\"Season\", style=\"Month\", palette=\"Blues\"); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "id": "9qkJjuDZYnjv",
    "outputId": "f34686cc-f831-4e39-d709-46916a2d30c6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1059
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(18, 4)) \n",
    "sns.scatterplot(x=\"Rainfall\", y=\"Hydrometry_Nave_di_Rosano\",data= monthly_max2018Sp, hue=\"Season\", style=\"Month\", palette=\"spring\"); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hI7jY8a7Ynjv"
   },
   "source": [
    "> For flood prediction we better get a rating equation for the rating curves of November, January and Feb, and March. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "id": "Kd4cembcYnjv"
   },
   "outputs": [],
   "source": [
    "monthly_max2018Su= monthly_max2018Su.loc[ monthly_max2018Su.Month!=6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "id": "WA0o5ArpYnjv",
    "outputId": "49547c36-4c0b-427b-a128-5693045c4af6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAAAAAAAAUYtgBAAAAAAAAAAAAAAAiFoEIwAAAAAAAAAAAAAAQNQiGAEAAAAAAAAAAAAAAKIWwQgAAAAAAAAAAAAAABC1/h8JM8pSJWiH3gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1059
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(18, 4)) \n",
    "sns.scatterplot(x=\"Rainfall\", y=\"Hydrometry_Nave_di_Rosano\",data= monthly_max2018Su, hue=\"Season\", style=\"Month\", palette=\"summer\"); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "G0O_-wMEYnjx"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zGcqrfolYnjy"
   },
   "source": [
    "### 'Condenced' rain data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "id": "X0r2xmAjYnjy",
    "outputId": "b5e97e07-675d-4a52-a876-db4c647ac093"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1998-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-04</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998-01-05</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8217 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "1998-01-01                NaN                 NaN               NaN   \n",
       "1998-01-02                NaN                 NaN               NaN   \n",
       "1998-01-03                NaN                 NaN               NaN   \n",
       "1998-01-04                NaN                 NaN               NaN   \n",
       "1998-01-05                NaN                 NaN               NaN   \n",
       "...                       ...                 ...               ...   \n",
       "2020-06-26                0.0                 0.0               0.0   \n",
       "2020-06-27                0.0                 0.0               0.0   \n",
       "2020-06-28                0.0                 0.0               0.0   \n",
       "2020-06-29                0.0                 0.0               0.0   \n",
       "2020-06-30                0.0                 0.0               0.0   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  \n",
       "Date                                            \n",
       "1998-01-01               NaN               NaN  \n",
       "1998-01-02               NaN               NaN  \n",
       "1998-01-03               NaN               NaN  \n",
       "1998-01-04               NaN               NaN  \n",
       "1998-01-05               NaN               NaN  \n",
       "...                      ...               ...  \n",
       "2020-06-26               0.0               0.0  \n",
       "2020-06-27               0.0               0.0  \n",
       "2020-06-28               0.0               0.0  \n",
       "2020-06-29               0.0               0.0  \n",
       "2020-06-30               0.0               0.0  \n",
       "\n",
       "[8217 rows x 5 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_5= River_Arno.iloc[:, 0:5]; River_5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ekpi1oSZYnjy"
   },
   "source": [
    "Let's first inspect the yearly means, later split into 2 seasons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "id": "LYjTUgrvYnjy",
    "outputId": "3c8321d6-1843-4fe9-e8d0-5c39464e1808"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Le_CrociAvg</th>\n",
       "      <th>Le_CrociStd</th>\n",
       "      <th>Le_CrociSum</th>\n",
       "      <th>CavallinaAvg</th>\n",
       "      <th>CavallinaStd</th>\n",
       "      <th>CavallinaSum</th>\n",
       "      <th>MangonaAvg</th>\n",
       "      <th>MangonaStd</th>\n",
       "      <th>MangonaSum</th>\n",
       "      <th>S_AgataAvg</th>\n",
       "      <th>S_AgataStd</th>\n",
       "      <th>S_AgataSum</th>\n",
       "      <th>S_PieroAvg</th>\n",
       "      <th>S_PieroStd</th>\n",
       "      <th>S_PieroSum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-01-01</th>\n",
       "      <td>3.05</td>\n",
       "      <td>6.87</td>\n",
       "      <td>1117.4</td>\n",
       "      <td>2.92</td>\n",
       "      <td>6.71</td>\n",
       "      <td>1067.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>7.87</td>\n",
       "      <td>1239.8</td>\n",
       "      <td>2.21</td>\n",
       "      <td>5.12</td>\n",
       "      <td>810.4</td>\n",
       "      <td>2.39</td>\n",
       "      <td>5.33</td>\n",
       "      <td>873.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-01</th>\n",
       "      <td>3.06</td>\n",
       "      <td>7.77</td>\n",
       "      <td>1116.2</td>\n",
       "      <td>2.69</td>\n",
       "      <td>7.23</td>\n",
       "      <td>982.0</td>\n",
       "      <td>3.07</td>\n",
       "      <td>7.71</td>\n",
       "      <td>1120.2</td>\n",
       "      <td>2.97</td>\n",
       "      <td>7.39</td>\n",
       "      <td>1085.6</td>\n",
       "      <td>2.57</td>\n",
       "      <td>6.61</td>\n",
       "      <td>939.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01</th>\n",
       "      <td>2.56</td>\n",
       "      <td>7.64</td>\n",
       "      <td>934.0</td>\n",
       "      <td>1.78</td>\n",
       "      <td>5.90</td>\n",
       "      <td>648.2</td>\n",
       "      <td>3.01</td>\n",
       "      <td>9.55</td>\n",
       "      <td>1097.8</td>\n",
       "      <td>2.19</td>\n",
       "      <td>6.58</td>\n",
       "      <td>800.6</td>\n",
       "      <td>2.03</td>\n",
       "      <td>6.21</td>\n",
       "      <td>741.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-01</th>\n",
       "      <td>2.67</td>\n",
       "      <td>7.38</td>\n",
       "      <td>973.2</td>\n",
       "      <td>1.76</td>\n",
       "      <td>4.95</td>\n",
       "      <td>641.6</td>\n",
       "      <td>2.54</td>\n",
       "      <td>6.83</td>\n",
       "      <td>926.2</td>\n",
       "      <td>1.94</td>\n",
       "      <td>5.43</td>\n",
       "      <td>708.8</td>\n",
       "      <td>1.89</td>\n",
       "      <td>5.10</td>\n",
       "      <td>689.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>2.94</td>\n",
       "      <td>6.42</td>\n",
       "      <td>1074.4</td>\n",
       "      <td>2.44</td>\n",
       "      <td>6.27</td>\n",
       "      <td>894.4</td>\n",
       "      <td>3.49</td>\n",
       "      <td>8.52</td>\n",
       "      <td>1277.4</td>\n",
       "      <td>2.52</td>\n",
       "      <td>5.87</td>\n",
       "      <td>921.4</td>\n",
       "      <td>2.48</td>\n",
       "      <td>5.79</td>\n",
       "      <td>907.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-01-01</th>\n",
       "      <td>3.20</td>\n",
       "      <td>8.62</td>\n",
       "      <td>1168.2</td>\n",
       "      <td>2.30</td>\n",
       "      <td>7.59</td>\n",
       "      <td>839.2</td>\n",
       "      <td>3.30</td>\n",
       "      <td>9.90</td>\n",
       "      <td>1204.6</td>\n",
       "      <td>2.63</td>\n",
       "      <td>7.39</td>\n",
       "      <td>960.8</td>\n",
       "      <td>2.59</td>\n",
       "      <td>7.33</td>\n",
       "      <td>946.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>4.63</td>\n",
       "      <td>10.23</td>\n",
       "      <td>1689.6</td>\n",
       "      <td>3.52</td>\n",
       "      <td>8.38</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>4.32</td>\n",
       "      <td>9.45</td>\n",
       "      <td>1576.4</td>\n",
       "      <td>3.56</td>\n",
       "      <td>7.66</td>\n",
       "      <td>1299.8</td>\n",
       "      <td>3.52</td>\n",
       "      <td>7.52</td>\n",
       "      <td>1284.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-01</th>\n",
       "      <td>2.37</td>\n",
       "      <td>7.86</td>\n",
       "      <td>863.4</td>\n",
       "      <td>2.02</td>\n",
       "      <td>6.96</td>\n",
       "      <td>737.4</td>\n",
       "      <td>2.17</td>\n",
       "      <td>7.06</td>\n",
       "      <td>792.2</td>\n",
       "      <td>1.85</td>\n",
       "      <td>5.81</td>\n",
       "      <td>673.6</td>\n",
       "      <td>1.80</td>\n",
       "      <td>5.98</td>\n",
       "      <td>658.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01</th>\n",
       "      <td>2.84</td>\n",
       "      <td>7.09</td>\n",
       "      <td>1040.4</td>\n",
       "      <td>2.67</td>\n",
       "      <td>7.43</td>\n",
       "      <td>977.2</td>\n",
       "      <td>2.68</td>\n",
       "      <td>7.65</td>\n",
       "      <td>979.6</td>\n",
       "      <td>2.45</td>\n",
       "      <td>6.55</td>\n",
       "      <td>898.4</td>\n",
       "      <td>1.59</td>\n",
       "      <td>4.78</td>\n",
       "      <td>582.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>3.96</td>\n",
       "      <td>9.30</td>\n",
       "      <td>1445.0</td>\n",
       "      <td>3.45</td>\n",
       "      <td>8.80</td>\n",
       "      <td>1260.0</td>\n",
       "      <td>3.95</td>\n",
       "      <td>10.04</td>\n",
       "      <td>1440.2</td>\n",
       "      <td>3.59</td>\n",
       "      <td>8.57</td>\n",
       "      <td>1310.2</td>\n",
       "      <td>2.12</td>\n",
       "      <td>6.32</td>\n",
       "      <td>773.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-01-01</th>\n",
       "      <td>4.13</td>\n",
       "      <td>9.66</td>\n",
       "      <td>1507.8</td>\n",
       "      <td>3.97</td>\n",
       "      <td>10.43</td>\n",
       "      <td>1449.0</td>\n",
       "      <td>4.70</td>\n",
       "      <td>11.25</td>\n",
       "      <td>1714.2</td>\n",
       "      <td>3.82</td>\n",
       "      <td>9.60</td>\n",
       "      <td>1396.0</td>\n",
       "      <td>3.21</td>\n",
       "      <td>7.94</td>\n",
       "      <td>1170.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>2.45</td>\n",
       "      <td>6.86</td>\n",
       "      <td>894.4</td>\n",
       "      <td>2.46</td>\n",
       "      <td>7.27</td>\n",
       "      <td>899.6</td>\n",
       "      <td>2.60</td>\n",
       "      <td>7.76</td>\n",
       "      <td>949.8</td>\n",
       "      <td>2.55</td>\n",
       "      <td>8.58</td>\n",
       "      <td>931.8</td>\n",
       "      <td>2.11</td>\n",
       "      <td>5.87</td>\n",
       "      <td>769.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>3.21</td>\n",
       "      <td>8.24</td>\n",
       "      <td>1175.0</td>\n",
       "      <td>2.90</td>\n",
       "      <td>8.99</td>\n",
       "      <td>1060.2</td>\n",
       "      <td>3.83</td>\n",
       "      <td>10.47</td>\n",
       "      <td>1403.0</td>\n",
       "      <td>2.70</td>\n",
       "      <td>7.47</td>\n",
       "      <td>989.6</td>\n",
       "      <td>2.85</td>\n",
       "      <td>7.87</td>\n",
       "      <td>1044.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>2.69</td>\n",
       "      <td>8.32</td>\n",
       "      <td>981.6</td>\n",
       "      <td>2.52</td>\n",
       "      <td>8.51</td>\n",
       "      <td>919.0</td>\n",
       "      <td>3.47</td>\n",
       "      <td>10.11</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>2.53</td>\n",
       "      <td>8.21</td>\n",
       "      <td>923.8</td>\n",
       "      <td>2.41</td>\n",
       "      <td>7.29</td>\n",
       "      <td>878.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>3.13</td>\n",
       "      <td>6.75</td>\n",
       "      <td>1141.2</td>\n",
       "      <td>2.46</td>\n",
       "      <td>6.86</td>\n",
       "      <td>898.4</td>\n",
       "      <td>3.22</td>\n",
       "      <td>7.61</td>\n",
       "      <td>1176.2</td>\n",
       "      <td>2.39</td>\n",
       "      <td>5.55</td>\n",
       "      <td>874.0</td>\n",
       "      <td>2.61</td>\n",
       "      <td>6.06</td>\n",
       "      <td>951.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>3.60</td>\n",
       "      <td>9.03</td>\n",
       "      <td>1312.4</td>\n",
       "      <td>3.17</td>\n",
       "      <td>8.93</td>\n",
       "      <td>1157.2</td>\n",
       "      <td>4.10</td>\n",
       "      <td>9.92</td>\n",
       "      <td>1495.8</td>\n",
       "      <td>3.17</td>\n",
       "      <td>7.96</td>\n",
       "      <td>1157.4</td>\n",
       "      <td>3.41</td>\n",
       "      <td>8.90</td>\n",
       "      <td>1244.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>2.34</td>\n",
       "      <td>5.58</td>\n",
       "      <td>426.4</td>\n",
       "      <td>2.22</td>\n",
       "      <td>5.88</td>\n",
       "      <td>403.6</td>\n",
       "      <td>2.60</td>\n",
       "      <td>6.45</td>\n",
       "      <td>472.4</td>\n",
       "      <td>1.91</td>\n",
       "      <td>4.41</td>\n",
       "      <td>347.6</td>\n",
       "      <td>2.40</td>\n",
       "      <td>6.23</td>\n",
       "      <td>437.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Le_CrociAvg  Le_CrociStd  Le_CrociSum  CavallinaAvg  CavallinaStd  \\\n",
       "Date                                                                            \n",
       "2004-01-01         3.05         6.87       1117.4          2.92          6.71   \n",
       "2005-01-01         3.06         7.77       1116.2          2.69          7.23   \n",
       "2006-01-01         2.56         7.64        934.0          1.78          5.90   \n",
       "2007-01-01         2.67         7.38        973.2          1.76          4.95   \n",
       "2008-01-01         2.94         6.42       1074.4          2.44          6.27   \n",
       "2009-01-01         3.20         8.62       1168.2          2.30          7.59   \n",
       "2010-01-01         4.63        10.23       1689.6          3.52          8.38   \n",
       "2011-01-01         2.37         7.86        863.4          2.02          6.96   \n",
       "2012-01-01         2.84         7.09       1040.4          2.67          7.43   \n",
       "2013-01-01         3.96         9.30       1445.0          3.45          8.80   \n",
       "2014-01-01         4.13         9.66       1507.8          3.97         10.43   \n",
       "2015-01-01         2.45         6.86        894.4          2.46          7.27   \n",
       "2016-01-01         3.21         8.24       1175.0          2.90          8.99   \n",
       "2017-01-01         2.69         8.32        981.6          2.52          8.51   \n",
       "2018-01-01         3.13         6.75       1141.2          2.46          6.86   \n",
       "2019-01-01         3.60         9.03       1312.4          3.17          8.93   \n",
       "2020-01-01         2.34         5.58        426.4          2.22          5.88   \n",
       "\n",
       "            CavallinaSum  MangonaAvg  MangonaStd  MangonaSum  S_AgataAvg  \\\n",
       "Date                                                                       \n",
       "2004-01-01        1067.0        3.39        7.87      1239.8        2.21   \n",
       "2005-01-01         982.0        3.07        7.71      1120.2        2.97   \n",
       "2006-01-01         648.2        3.01        9.55      1097.8        2.19   \n",
       "2007-01-01         641.6        2.54        6.83       926.2        1.94   \n",
       "2008-01-01         894.4        3.49        8.52      1277.4        2.52   \n",
       "2009-01-01         839.2        3.30        9.90      1204.6        2.63   \n",
       "2010-01-01        1284.0        4.32        9.45      1576.4        3.56   \n",
       "2011-01-01         737.4        2.17        7.06       792.2        1.85   \n",
       "2012-01-01         977.2        2.68        7.65       979.6        2.45   \n",
       "2013-01-01        1260.0        3.95       10.04      1440.2        3.59   \n",
       "2014-01-01        1449.0        4.70       11.25      1714.2        3.82   \n",
       "2015-01-01         899.6        2.60        7.76       949.8        2.55   \n",
       "2016-01-01        1060.2        3.83       10.47      1403.0        2.70   \n",
       "2017-01-01         919.0        3.47       10.11      1265.0        2.53   \n",
       "2018-01-01         898.4        3.22        7.61      1176.2        2.39   \n",
       "2019-01-01        1157.2        4.10        9.92      1495.8        3.17   \n",
       "2020-01-01         403.6        2.60        6.45       472.4        1.91   \n",
       "\n",
       "            S_AgataStd  S_AgataSum  S_PieroAvg  S_PieroStd  S_PieroSum  \n",
       "Date                                                                    \n",
       "2004-01-01        5.12       810.4        2.39        5.33       873.8  \n",
       "2005-01-01        7.39      1085.6        2.57        6.61       939.8  \n",
       "2006-01-01        6.58       800.6        2.03        6.21       741.4  \n",
       "2007-01-01        5.43       708.8        1.89        5.10       689.8  \n",
       "2008-01-01        5.87       921.4        2.48        5.79       907.2  \n",
       "2009-01-01        7.39       960.8        2.59        7.33       946.4  \n",
       "2010-01-01        7.66      1299.8        3.52        7.52      1284.2  \n",
       "2011-01-01        5.81       673.6        1.80        5.98       658.2  \n",
       "2012-01-01        6.55       898.4        1.59        4.78       582.2  \n",
       "2013-01-01        8.57      1310.2        2.12        6.32       773.2  \n",
       "2014-01-01        9.60      1396.0        3.21        7.94      1170.8  \n",
       "2015-01-01        8.58       931.8        2.11        5.87       769.0  \n",
       "2016-01-01        7.47       989.6        2.85        7.87      1044.0  \n",
       "2017-01-01        8.21       923.8        2.41        7.29       878.8  \n",
       "2018-01-01        5.55       874.0        2.61        6.06       951.2  \n",
       "2019-01-01        7.96      1157.4        3.41        8.90      1244.0  \n",
       "2020-01-01        4.41       347.6        2.40        6.23       437.6  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_5Yr = pd.DataFrame()\n",
    "# AS is year-start frequency\n",
    "River_5Yr['Le_CrociAvg'] = River_5.Rainfall_Le_Croci.resample('YS').mean()\n",
    "River_5Yr['Le_CrociStd'] = River_5.Rainfall_Le_Croci.resample('YS').std()\n",
    "River_5Yr['Le_CrociSum'] = River_5.Rainfall_Le_Croci.resample('YS').sum()\n",
    "River_5Yr['CavallinaAvg'] = River_5.Rainfall_Cavallina.resample('YS').mean()\n",
    "River_5Yr['CavallinaStd'] = River_5.Rainfall_Cavallina.resample('YS').std()\n",
    "River_5Yr['CavallinaSum'] = River_5.Rainfall_Cavallina.resample('YS').sum()\n",
    "River_5Yr['MangonaAvg'] = River_5.Rainfall_Mangona.resample('YS').mean()\n",
    "River_5Yr['MangonaStd'] = River_5.Rainfall_Mangona.resample('YS').std()\n",
    "River_5Yr['MangonaSum'] = River_5.Rainfall_Mangona.resample('YS').sum()\n",
    "River_5Yr['S_AgataAvg'] = River_5.Rainfall_S_Agata.resample('YS').mean()\n",
    "River_5Yr['S_AgataStd'] = River_5.Rainfall_S_Agata.resample('YS').std()\n",
    "River_5Yr['S_AgataSum'] = River_5.Rainfall_S_Agata.resample('YS').sum()\n",
    "River_5Yr['S_PieroAvg'] = River_5.Rainfall_S_Piero.resample('YS').mean()\n",
    "River_5Yr['S_PieroStd'] = River_5.Rainfall_S_Piero.resample('YS').std()\n",
    "River_5Yr['S_PieroSum'] = River_5.Rainfall_S_Piero.resample('YS').sum()\n",
    "River_5Yr['2004':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "id": "Hld3b7y6Ynjy",
    "outputId": "f331fd8c-03d8-453d-b964-14a7c34d4c01"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Le_CrociAvg</th>\n",
       "      <th>CavallinaAvg</th>\n",
       "      <th>MangonaAvg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>2.45</td>\n",
       "      <td>2.46</td>\n",
       "      <td>2.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>3.21</td>\n",
       "      <td>2.90</td>\n",
       "      <td>3.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>2.69</td>\n",
       "      <td>2.52</td>\n",
       "      <td>3.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>3.13</td>\n",
       "      <td>2.46</td>\n",
       "      <td>3.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>3.60</td>\n",
       "      <td>3.17</td>\n",
       "      <td>4.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>2.34</td>\n",
       "      <td>2.22</td>\n",
       "      <td>2.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Le_CrociAvg  CavallinaAvg  MangonaAvg\n",
       "Date                                             \n",
       "2015-01-01         2.45          2.46        2.60\n",
       "2016-01-01         3.21          2.90        3.83\n",
       "2017-01-01         2.69          2.52        3.47\n",
       "2018-01-01         3.13          2.46        3.22\n",
       "2019-01-01         3.60          3.17        4.10\n",
       "2020-01-01         2.34          2.22        2.60"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_5Yr.loc[: ,[\"Le_CrociAvg\", \"CavallinaAvg\", \"MangonaAvg\"]].tail(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "id": "kGWmDFyzYnjz",
    "outputId": "1468886b-7f0f-4d8f-9543-05dbba5589b4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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//psr553nUJ47YRvqGFY67I7aUKRY1fz/E3lyX0R65s+fT8eOHZk6dSqJiYlUr16d5s2bo9Vq+e233+jTpw8zZ84s7Gbmye+//47JZMLT05MVK1aQlpZW2E0SwJnoGAzpGXTr2IZf506nVvWqhd2kIkf3QDUAp+QC2UxHj9jK1azpVn3ZHRMlKAglzPkLWlu+AmCbx3M7Po/1QVusOOYzp0lf8Ztbr1+UaSs9AJBrcgHLqaO2clXcvFbXsq5VQBCaYBfXqkx5AKfkCGrWJHttRCWnY5SsY9T/kFDhfqGUs81PU88dc7nfcu64rVyFam7Vl33t1Auu53JZ42zz4JSS5UCnz1Nb7wdV6kQBcHS36+txfK/telSvX/0/v4aiKDz55mAAFk9ZTOLVRIf9sadimTZmGpNf+9rl8ZVrVgbgUvQll/uFKAxFvtPz3XffMW7cOPz8/Jg2bRp///03s2bN4ttvv2Xt2rVMmjQJvV7PF198wZIlSwq7uQC0a9eOlStX8sorr+RaZunSpeh0Oh5//HHS0tL4448//v8aKHJVo1oUS36YwqfvjpbkBQVEWzocAMtl11+mliu2uRzakFA0Xt63rc8Scw7jIVs2ooDXx6AJCLTv8+nXH33NWqgGAxlrVt+yHo2/Pz59+wOQOut7sFpvfzJFnLZEaQDUHPNrclITbE+IlaAQ8PS6bX3qxRjMJ2ydXZ9nXkfjd+Me03fph0dUTazpBoyb1jgcZ9xgixx4du2Htmot+3YlojJej9misca/pJOaGyWsFADqNddZEa2Jtg6jEhAM+ttfxxsV5/ITRGubbqxRtGgCJVJws9IRtutx5bzr+you1nY9gosH4+WTh+uRQ9s+bSkXWY74S/GsmL3c7eO8fLx47IXHaNunLZkZmfw289f/9PpFkmrJ/z+RJ0U6kcHRo0eZPHkyXl5e/O9//yMyMtKpTOfOnTEajbzxxht8/fXXdO/eHb2+cJ8s+fv74+/vn+v+Y8eOceTIERo0aECPHj2YPXs2ixYtok+fPv+PrRSu1Knp3pNO8d9pgmydEjU52eV+a/KNYVSawECs2fNIbiFp7DsEvvUu+rr1CFv4E+bY8yghIWhDQjGfiyZ5wnjU+FsPVfPu0g3Fzw/zmTMYt23NwxkVXRr/IMA2HM2VnNs1/oFYMzNuW6fh67F4P/8Wuhp18f9qIerlWDSBIShBIVgunCN95gSsiY6ZqEwbVpIREITnIwPwHfMlatwlMJtRSpUBo5GMJbMwrl7630+0iNP42jqXTkMUs1gNqQ5lrcZbX0frtatoSpRFKVUeNdo5WqGUKHujPh8/5PGBo4BQ22dgSqLr65Fy/cb2gJAAMgy3v69u1mNYTwCWz/oNs9F5COLNKteqzIjxL1OqfCm8fLy4GnuVya9/zbnj7mf0K/JkOFqhK/RIz/79+3nxxRdp1KgRNWvWpEOHDkyaNInU1DvP0T937lzMZjOPP/64yw5PtkceeYQGDRrQsGFDrlyxPcmKjY0lKiqKESNGsGLFClq0aEGtWrV49NFHMZls2WTMZjPz5s2jV69ePPjgg9SpU4fHHnuM+fPnYza7/pDYsmULzz33HE2aNKFOnTp0796dOXPmYDQa7WVuN6dn6VLbl3PHjh2pWrUqVapU4fDhwxw65Djc59SpU0RFRdGmTRuX9Vy/fp0aNWrQsGFD+zkB7N69m2HDhtGoUSPq1KnD008/zaFDh3j77beJiooiNjY21/dSiIKm0Xva/pGZ6XK/1Xhju8bT071KTSZMRw5jzciwpZuuHIk2JBQANT4eTMZbH68oeD/SHQDDkkXuveb9IOsBktXk+lqR43PPfl1vw2oyYTl1BGtmBhpPL7QRlW2RIsCaGI/V5Drbl+VyLGrcZTSKgrZEONrwCDSKFmt6Wq6dMpEle4hZbvdBzu1uDEczH9kJgL5lD3tUx06jQdeyx43/f/N+gd7L9h5nZri+HsYc27PL5sWDzR+kbGRZUpNS+XPBn7c/ACgbWY4K1SrYI0t+gX7Ub10fD71cP3H3KNT/GpcuXco777yD1WqlRo0alCpVigMHDjB9+nT+/vtv5s6dS1BQ0H+q22KxsGaNbYhDly5dbllWURTmzp3rct+RI0dYt24dtWrVIjIyEl9fX3Q6HZmZmQwdOpQdO3bg6+tLo0a2rDXbt29n3Lhx/P3333z77bcOUaPvvvuOSZMmoSgKdevWJSAggN27d/PJJ5+wY8cOpkyZgpJbuD+LyWRixYoV6HQ6OnXqBECPHj0YP348ixcvpkaNGvaylStXpnr16hw+fJgDBw5Qq1Yth7rWrFmDyWSic+fO6HQ6AFatWsXo0aOxWCzUrVuX4OBgdu7cyeOPP0758uVv2TYh/l+oKmi1ue/XaG78240hZhpfP4K+/ApdZCSZO3eQ9v13mM9Fo4SF4fNob3x6PUZQtclcf3005iOu56boGzdBW6Iklvh4Mv5al9czKrpUFZRbXCslb9cKH1/8xnyJtnwkpgM7yVj8PeqFc2hCwvDs8CieHXrh90410j5/HcupI/bDPHs+gVevJ1GTEjFM/RDT/u2gUdA92BCvgS/gPeRVlJJlyVjw7R2cbBF2u+uYx3vO9O9ydA3aooSVwmvYWIzLf0C9HIMmtCSenZ9AKVYKqzHT1hF2kejgfqdaVLS3+AzUONxXea+/yxO230xrF60hPfX2kXKAPRt207d6Hzx0HjzU8iGGvjeM7kN7ULpCOOOGfJD3RhRF93Emz7tFoUV6Tp8+zXvvvYePjw/z5s1jyZIlTJ48mbVr19K3b19OnDjBhx9++J/rj4uLIyUlBZ1OxwMPPPCf6zl//jyDBg1i0aJFzJo1i6+++gqAiRMnsmPHDurUqcO6deuYPn0606dPZ926ddSsWZNNmzYxefJkez0HDx7kq6++IjAwkJ9++om5c+cybdo01q5dywMPPMC6dev488/bP1HZsGED165d4+GHHyYkxPZ0s3v37nh4ePD77787RcgeeeQRwNaZuVn2PKDsMomJibz33ntoNBq+++475s+fz9SpU1m7di3Vq1fn+PHjeX8Dhchn1oysoRq5DEPV5HjSbM0lGpSTT7/+6CIjMZ85TdLbb2I+fQrMZtTLl0mdNoW0xQtRvH3sWdlc8WphyzKV+c96WeAyp6zhaprcnv576Oz/zBmhy41nl35oy0diiTmDYeLbqDGnwWLGGneZjHnTyPxjMRovb7yfHGE/RilVFs8eA7GqFgxfvYdp+wZb6uz0NExb/ybt89exms14dnoMpVzFOzrdIiv72rhxHTHfJioKWFMSSf/hY6xpyXhUroXPyK/wG78U3ze+QRtZ27YOUFZ00Jrp3o/u+0lmuu290XvqXO7X6W9sz8y4/X2Vk6e3Jw+1rAvA+mXr3T4uKSEJQ4qB5GvJbFi2gfefHIvFbKF+m/rUalLr9hUI8f+g0Do9c+bMwWQyMWLECOrWrWvfrtPpeOeddyhRogQrV660DzfLq6tZmZaCgoJu+UTEHU888YT934qikJGRwaJFi/Dw8GDSpEn2zgdAaGgokyZNQqvVMn/+fDKzfnQtXrwYVVV56aWXHKIx/v7+jBo1igoVKnDRjZXbf/nlFwB69epl3xYWFkbLli0xGAysWLHCoXzXrl3RarWsWrUKa44ncHFxcezYsYOIiAjq1LGlD/3tt99ITk6mf//+tGx5I1VoQEAAEyZMuOP3UYj8oCbb1mZRAlwnitDk2K4mXb9tfZ7NWwBgWLzIZYfFsGAeVosZXWQVexIFB4qCvkFDADI2uP8j4X6gZg0by54TcrOciQjsa+7cgq6+LQVv5srFLq9VxvIFWC0WtOUjUYrbkijo6jVDo2ixHN3vEP2xtzHmDOa9W2xlG0iKZFesBtscEY2Pn8v9Gt8bc1Ctqbe/jmDLBJc2/kUyVy/AfHQX5qO7MK77CcOE4ViO7QEvX1t9ydfusPVFT3Ki7b7yD3I999c/+Mb25IS8Dd2s0+Ih9F56Yk/HcvaIc4p3d506cIr9m/cDUKNRjduUvk9IyupCV2idnu3btwPQsGFDp316vZ4GDRqgqiq7du36T/V7eNhG7plyGd/troCAAMLDHX/oHDp0iIyMDGrXrk2pUqWcjilbtiw1a9bEYDBw8KAtK9SOHTsAePjhh53KN2/enD///JOhQ4fesi3x8fFs3LiRYsWK0by5Y/79Rx99FLB1rnIKCwujSZMmXLp0ib1799q3r1q1ClVV6datm33bli22L/527do5vXZ4eDg13UwBLERBspyPAUBboqTL/doSJWzl4uNznffjqrw5q96bWVNTUa9ndbSyyuakq14DJSAQy9WruQ5/u1+pF88DoBRzft8AlDDbdjUx/kY04RaU0BIO9ToxpGJNuQ6AJqtuTdYxlku5HINtvk/O+oUj9art/dEEu17LSBNsW+tKTbp2+/lvOaUlY1q7mIxZH5Ix60OMf87Hej0epWQEGq0WNSkB0mU5hptdOG27HsXLuL4excNt2xOuJOQ50lO/TX0ANv+x6ZblPHQehFcMp2SE689hgItnbQ9yg8KC89SGIktV8/9P5EmhdXouX7alWnzkkUeIiopy+suOWFy69N9yvBcrZvsQTk5OxnIHw00CXDxNzo4i3dwZyqlMmTKAraMCtsgKQMmSuX9A3M7y5csxm82YTCaGDBnCoEGD7H/Z6wwdPXrUabHV7t1tE6xXrlxp33bz0Da48V676sjBrc9XiP8v5qxhlh7VXGfK01WzrU1hPnbUrfqsaQYAlBwRW8cK9ShZcwutBkOur2c6sM+t17ufWM7arpW2kutrpa1s22457Xq9kZtZM2w/gDVBuV0rHZqAINu/07OuVUbW9Q3M5RhudHasGc7XV4AaewoAbUSUy/3acrbtaswJt+pTKlRD17K7ff0fp/qq1QPActr1Wlz3u5MHbNcj6iHX68Blbz+x173rkVPVurZjD247eMty/V99nOkbvuOZ95/JtUxoSVsymGtXnBcSFqIwFFqnJ7sj0rVrV7p165brX0RExH+qPywsjBIlSqCqqlNWM1dWrlzJ/PnzOX/e8Wmgq8QCVjcmamafX3Yig9yyueVFdta269evs2PHDoe/PXv22MstWuSYPapt27b4+PiwevVqVFXlwoUL7Nu3jwcffNDh/c2OiuV2fu6ctxAFLWPTvwB4NmmG5ubU7oqCV4eOtnLr1tx8qEvG/fsA8O7U2eV+r3btbE+dU1Ns831u4lHZlhnSdPKkW693PzHtsj0t1tVt4jAECgCNgr55BwCMm91L/mA+ahsuo2/ZyeV+XZN2toxsaalYYk5nHbMPAI9a9VwuaKoJCMKjpu3ptiWrfuHIfNCWgt2jekPwvmmIm0ZBV9+WIdS0Z4Nb9WnLVcGz21Pomj/ivNPTG11j2z1s2uI8F1XA1lW2URmN2jfCL9DxeiiKQpvetuuxIQ9zcgA8vTwJr2h7uHn64Olblj241fZw9cHmdSgWXsxpf8mIktRtZZu6sPPvnXlqR5ElkZ5CV2idnuLFbeHX1157jQkTJuT652qolTs0Gg2tW7cGsGdxu5Wvv/6acePGsW7d7b98s9t+q9TN2Z2nsKwV3rMjT67mKJnNZubPn28fXubKgQMHOHnyJBERERw/ftzl37JlywBbBy4l5Uaefm9vb9q3b8/Vq1fZs2ePPeKTM8oDN6JQuc0t+q9RNyHyk+XMGTK3bUHx8yNw7Lgbc3h0evxHvY5HRHnMMefI3LTR4ThNQCDasuXQlirtsN2waIFtInvT5vg+8xx43VjMz7NFS/yefcFWbuECcPHwwqNSJVu7ov/7+PeiSj1/BtPebWh8/PAZMfbGHB6dDu+ho9CGR2C5GIN5t+NQGo1fAEqpsijFHaPOmb8vwmo2o6vbFK9+zzgsaOpRvwXejz+bVW6hPeuXef8OzGeOo/H0xnfkRygly9x4nbAS+Lz8AYp/AJbYs5h2Of43I2zUS+cwH9mJxtsXryffAJ+sDqyHDs8+w1FKlEW9Govl0DbHA3380RQLRxPqOMLBfGgbVrMJj9pN8XjwxlBtjX8QXkPeQgkIwXx0F2q0e9Ha+030sWh2/rUD3wBf3pw+xj63R+ep46XxL1Eushyxp86z9U/H9cICggMoU6lMrkPSykVFoNVquXb1GqlJt142ZN/GfZzYdwKdXseY796iVMSNezUiKoKxs8ei99Lz7/J/b9uBEuL/S6GlrK5Xrx4XLlzgn3/+oW/fvk77n376aVJTU3n77bedUi27a9CgQfz888/MnTuXxx57jAoVKrgs99NPPxEdHY2Pj499KNit1KhRA29vbw4cOMDFixcpXdrxR1RMTAxHjhzB39+fqlVtoeI6depw4cIF/v33X/r16+dQfs+ePYwbN46WLVvSpEkTl6+Z3aHJTlPtSrVq1YiMjOTkyZMsX76cAQMG2Pd1796dX3/9lfXr17Njxw6HlNfZGjZsyNatW9mwYYM9BXe2+Ph4tyJmQvx/SJk0EY+vK6Cv8xBhC37CHHMObanSKAEBqKkpJI191yl1rk+Pnvg+OQTL5UskDLhxD5pPniBl4hf4j3wN37798e7WHUvsebTFiqME28aip69ehWHRApdtUbLX88nxoEHckD57EtoyX+NRrQ7+Xy3AciEGpXgpFL8ArGmpGL4e63St9O162FJMx10mZeSNzzE1+iTpP0zE+6mReHbpi751N9vipKHFUAJs18q4cTWZvztGuw2T38f3zS/Qlo/E7/PZqJfOg0aDUjIcjaJFvXoRw6R35cnpLWT+8i1KyXJ4VK6F7zszUa/EooSWQOPjjzU9lfQfP3W+js26oG/fH/XaFQyf3BgGZU24jHHFbDx7PoPXwNGonQdhTU9DKVEWjYcOy/lTtgxuIlfTxkzj818iqN20Nj9sm835U+cpWa4k/kH+pCal8vEzHzuNzugyuCuPv/o4V85fYWjTp53qDCluu4du1+HJ9tnzn/Lxok+IrBXJt+unc+FMLGg0lKlUBkVR2L95P1Nen3z7iu4TVqtk9ixshRbpGTRoEIqiMHHiRIdkBVarlalTp7Jp0yZiY2PtnYb/olKlSjz99NNkZmYyYMAA1q9f7/AhoKoqS5cuZdy4cQCMGjXKIRNbbry9venTpw9ms5mRI0eSmJho33ft2jVGjhyJqqr06dPHPrytf//+aDQapkyZwqlTN4bIJCUl8dlnnwHOkZdsRqPRPgfndmsOZXfabh7i1qhRI4oXL86KFSs4ePAgzZo1czrXRx99FB8fH6eok8FgYMyYMfbhb5qcazIIUQjU+DiuPf8MhqU/oyZdx6NiJbBYyPhrHYkvPIslJm+rgGes/pPE558hY+0arGmpeFSoCFotxt27SPrgPVLGf+b6QEVB45uVZSpNJly7Yk2MJ/W958lcvRRrchLachVBtWDc8hepY19Aveg6gURuTBtXkzr2eYyb1tp+KJetAIoW06HdpE3+gPQZ453bkHCV1HefJ+OXH1Fjz6KElUAJLY56MYaMZXNJefc51KsSyb4Va1IChq9GYdy4AmtqEkqpCKyqBdOefzB8PRrr1bwtWm3a/AfpP36K5fQhND4BtmhR/EUyV84lfdoYkFTVt5RwOYFXu7zC8h+Wk5SQRPmq5bGYLfzz6wZGdhtJ7Km8LyLuH2yLxBqS3ZvbFnchjle7vMLiyYu4ePYiJcuVIqxkGMd2H2XKG1N4b8C7ZBgy8tyOIkuGtxU6jTUfJ2osXbqUMWPGoNPpCAwMzLXcyy+/TJ8+ffjxxx/tP/irVatGeHg4J06cIDo6Gi8vL2bNmkW9evXuqE1Wq5UJEybYJ/qHh4dTpUoVtFothw4d4vLly2i1WoYPH84LL7xgPy42NpY2bdpQrlw51q5d61RvRkYGQ4cOZefOnfj5+VG/vm1M+I4dO0hLS6NZs2ZOi5NOnTqVKVOmoNPpaNCgAXq9nr1793L9+nW6devGhAkTHN7Hxx57jI8//piVK1fy6quvEhkZye+//37L871y5QqtWrVCVVUWLVpkT0cN8Pnnn/PDDz8AMGnSJDp3dp7D8Ouvv/Lmm28CtmhcSEgIu3fvxmAw4O3tTUJCAv/++y8lXGSxuhOm+DP5Wp8oOIl9hxR2E4SbPEvLauj3Cm0J1+mgxd2n/0/yxP5esiLm1r+b/r+kb/gh3+v0bvVUvtdZlBXIN6LJZLJnLXPFkJUBafDgwVSrVo3Zs2ezd+9eTp48ScmSJenZsyfPPvtsrsPR8kKj0fDaa6/RqlUrlixZwp49e9i8eTNWq5USJUrQq1cvnnjiiTwvYOrl5cUPP/zAggULWL58OVu3bkWn01GlShUeffRRHn30UackCMOHD6datWrMmTOH/fv3k5mZSYUKFXj++ecZNGhQrq+VvTaPq07KzUqUKEGjRo3YsmULixcvduj0dO/enR9++AE/Pz/atGnj8vgePXpQrFgxvvvuO3u67bp16zJ69GjGjBlDQkIC/jdPHhdCCCGEELmTdXUKXb5GesS97eLFixiNRkqXLu0QoQJbsoWmTZvi4eHB5s2b8/21JdJz75BIz71DIj33Don03Dsk0nNvuWsiPetn5nud3g/fen1H4ajQ5vSIu88///xDhw4dePPNNx3mPmXPs7p+/Tpt27YtxBYKIYQQQtyDZE5PobsnHgOOHj06T+VDQkJ46623Cqg1RVfnzp2ZMWMGf/zxB3v37rUP+Tt27BgXLlygUqVKjBw5spBbKYQQQgghRN7cE52eFStW5Kl8eHi4dHr+g8DAQHuK73Xr1rFt2zasVitlypThpZde4qmnnsLHx6ewmymEEEIIcW+ROT2F7p7o9Bw/frywm3DfCA0N5ZVXXuGVV14p7KYIIYQQQhQNMhyt0N0TnR4hhBBCCCHE/48tW7Ywffp0jh8/jslkonr16gwbNowWLVq4Xce6deuYM2cOhw8fRlEUIiMjGTBgAF27dnVZvm3btpw/fz7X+g4fPoyHx3/vukinRwghhBBCiIJ0Dw1vy14vUq/X06hRI1RVZfv27QwbNoxx48bRt2/f29YxceJEvvvuOwCqVq1KqVKlOHToEKNGjWLTpk18/PHHaLVae/mUlBRiY2MJCwujcePGLuu8eSmYvJJOjxBCCCGEEIIrV64wduxY/P39WbBgAVWqVAHgwIEDDBkyhI8//phWrVrdcpH6rVu38t1336HT6Zg4cSLt27cHICMjg7fffptly5ZRo0YNBg4caD/m6NGjWK1WHn74YT766KMCOTdJWS2EEEIIIURBukdSVs+fPx+j0cjgwYPtHR6AWrVqMWzYMDIzM1m8ePEt6/jpp58AePrpp+0dHgAvLy/GjRtHSEgIU6dOxWw22/cdOXIEgOrVq+fn6TiQTo8QQgghhBAF6R7p9GzcuBHA5bqM2dv+/fffW9Zx4sQJAFq1auW0z9fXlxo1apCYmMihQ4fs248ePQpIp0cIIYQQQghRgKxWK6dOnUJRFCpWrOi0v3z58iiKwqlTpxwWsb+ZmtUh8/Pzc7k/ey7P6dOn7duOHDmCVqvl7NmzDBgwgHr16lG/fn2ee+45Dhw4cCenZSdzeoQQQgghhChIBZDIYOnSpSxbtszt8j179qRXr1657k9KSsJoNBISEoJer3fa7+HhQXBwMAkJCaSlpeXaqalQoQJnzpxh165dREZGOuzLzMzk8OHDAFy7dg0Ao9HImTNnsFgsvP7669SsWZOGDRty8uRJ1q9fz6ZNm5gwYQIdO3Z0+1xdkU6PEEIIIYQQ95gLFy6wY8cOt8s3aNDglvvT09MB8Pb2zrWMl5cXwC07PT179uSvv/7iq6++olq1atSuXRuwdW4+/vhjrl69av//YFuP02w24+vry7Rp0xyyt/344498+umnjBkzhrp161KsWDE3z9aZdHqEEEIIIYQoSAUwByc8PPy2HZmby99KXlJC32p4W7t27ejduzdLliyhX79+1KpVi5CQEI4cOUJycjI9e/Zk2bJl6HQ6AGrWrMmmTZswGo1ObRw8eDA7d+5k3bp1LFu2jGeeecbtNt5MOj1CCCGEEEIUpAIY3tarV69bDlfLKx8fH8A2BC03GRkZDmVz89FHH1G7dm3mz5/PkSNH8PPzo0mTJowYMYJVq1YB4O/vby9/qwjOww8/zLp16xwSH/wX0ukRQgghhBDiPufn54ePjw+JiYmYzWY8PBy7CWazmcTERDw9PQkICLhtfb1796Z3795O28+cOQNA6dKl3WpXdocou8P1X0n2NiGEEEIIIQrSPZCyWqPRULlyZSwWC9HR0U77z549i6qqDuv3uHL58mU2b97MlStXXO7fvn07Go3Gnp565cqVjBo1ihUrVrgsHxsbC0DJkiXzcDbOpNMjhBBCCCGEoHnz5gCsW7fOaV/2tpYtW96yjg0bNvDUU0+xYMECp33r16/n8uXL1KtXj7CwMAASEhL4/fffWbhwoVN5q9XK8uXLAWjWrFneTuYm0ukRQgghhBCiIFnV/P8rAL169cLT05Pvv//eYQ7NwYMHmTlzJl5eXjz++OP27TExMZw+fZqUlBT7thYtWqDT6ViwYAHnzp2zbz9z5gxjx44FYMSIEfbtXbp0wc/Pj927d/Pjjz/at1utVqZNm8a+ffuoUqUKrVu3vqNz01hvlX5BiP8npvgzhd0E4abEvkMKuwnCTZ6lZdrmvUJbwnXqV3H36f+TpbCbIPJgRczvhd0EANKXfpLvdXr3eivf6wSYP38+48aNQ6fT0bBhQ8A2JM1sNvP555/TvXt3e9nWrVtz4cIFPv30U4ekCjNnzuSLL77A29ubBg0aYLFY2L59OyaTidGjRzNs2DCH11y9ejWjRo3CZDIRGRlJxYoVOX78ONHR0RQrVox58+ZRvnz5Ozov+UYUQgghhBCiIBXAHJyCMmDAAEqXLs3MmTPZs2cPer2ehx56iOeff95hDZ1bGTp0KMHBwcydO5etW7fi7+9Pw4YNefrpp2nSpIlT+Q4dOhAeHs53333Hzp07iY6Opnjx4gwaNIgXXniBkJCQOz4vifSIu4JEeu4dEum5d0ik594hkZ57h0R67i13TaTnp3H5Xqd3n/fyvc6iTOb0CCGEEEIIIYo0eQwohBBCCCFEQZKBVYVOIj1CCCGEEEKIIk0iPUIIIYQQQhSkeyiRQVElnR4hhBBCCCEKknR6Cp0MbxNCCCGEEEIUaRLpEUIIIYQQoiBZJdJT2CTSI4QQQgghhCjSJNIjhBBCCCFEQZI5PYVOOj1CCCGEEEIUJFmnp9DJ8DYhhBBCCCFEkSaRHiGEEEIIIQqSDG8rdNLpEXeFxL5DCrsJwk3Bi2cXdhOEm650GVrYTRBuCiopAy/uFasu7yrsJggh/gPp9AghhBBCCFGQJNJT6OTRkhBCCCGEEKJIk0iPEEIIIYQQBUkWJy100ukRQgghhBCiAFlVSVld2GR4mxBCCCGEEKJIk0iPEEIIIYQQBUkSGRQ6ifQIIYQQQgghijSJ9AghhBBCCFGQJJFBoZNOjxBCCCGEEAVJEhkUOhneJoQQQgghhCjSJNIjhBBCCCFEQZJEBoVOIj1CCCGEEEKIIk0iPUIIIYQQQhQkifQUOun0CCGEEEIIUZCsksigsMnwNiGEEEIIIUSRJpEeIYQQQgghCpIMbyt0EukRQgghhBBCFGkS6RFCCCGEEKIgyeKkhU4iPUIIIYQQQogiTSI9QgghhBBCFCSrzOkpbNLpEUIIIYQQoiDJ8LZCJ8PbhBBCCCGEEEWaRHqEEEIIIYQoQFZJWV3oJNIjhBBCCCGEKNIk0iOEEEIIIURBkjk9hU46PUIIIYQQQhQkyd5W6GR4mxBCCCGEEKJIk0iPEEIIIYQQBUmGtxU6ifQIIYQQQgghijSJ9AghhBBCCFGQJGV1oZNOjxBCCCGEEAVJhrcVOhneJoQQQgghhCjSJNIjRA4aPz98nxiMZ7PmKCGhqEnXMe7cQdr/5qBevZLn+pSwYvgOHIS+QUOUkFCshjRMhw9jWLQA0+FDDmV9nxiM75ND3Ko3ffUqUsZ/luf2iNypqsqAZ0dy/sIlNq1cXNjNKVI0/n4EDH0S75bN0IaFoCYmkbFtB8mz5mK5nPf7Sls8DP8hA/Fq3NBWX5oB44HDpMxdiPHA4VyP01WNxH9gPzzr1EIJDMByLZGMzdtInvk/1IRrd3KK9wdvX/Tt+uJRoyEa/2CsaclYju/FuPYnrNfj8lydUqIcujaPoa1cA42nD+q1K1gObsO4cQWkpxbACRQtQUGBvPvOSHp070ipUsWJi0tg9ZoNfPTxJGJiLuS5Po1Gw9NPPc6TT/ShWrUq6PU6jh47xaxZC/huxv9yPe6hOjUZPfoFmjdrSGhoMFeuxLNy1V98+NFELl++eienWLRIyupCp7FarRJvE4XuapuWhd0ENH5+BE/+Bo+ICNS0NCyx59GWKo0SEICakkLiyBFYzpxxuz5tRHmCJ36NEhSENTMTc+x5tGFhKIFBWC1mUiZ+ScafK+3lvTp2xqtjp9zb5+WFLrIKAKmzZ2GYl/uXUEEKXjy7UF63oH01/Udmzl1MUGBAken0XOkytLCbgMbfj+LfT0FXwXZfmWNi8ShdCiUwADU5hbjnX8V0yv37yqNCeYp9OxFtcBDWjExM52PRFgtDGxSI1Wwh8bMvMaz40+k4n26dCH5zJBoPLZb4BCyJ19GVL4dGp8MSn8DVYSOwXLyUn6eeJ0EtAgvttd3i7YvPi5+hlCiDNcOAGncRJbQEGh9/rIZU0qe/g3rpnNvVaas3wGvAKDQ6PVZjBuqVWDRBYSj+QaiJV0n//gOscRcL8IT+u6CvdxR2EwgKCmTjv7/xQNVIkpNTOHHyDBUrlCMkJJjExOu0bvsYBw8edbs+T09Plv48iw4dHsZisXDs+Cn8fH2JiCgDwOKffmPAwBecjhsyuB/ffvM5Hh4eXLp0hbj4BKpGVUav13Pp0hVatOrB2bMx+Xbe/4XZmPcOYEFIe7dPvtfp++FP+V5nUSaRHiGy+I96DY+ICDK3bSX5ow+wpqeDTo//KyPx7tiJwHfGcm3oELcnIwa8+RZKUBDGvXtI+vB9rElJoCj4PjkE34FP4P/yqxj37UG9fBmAjD9XOnSCXLVPF1kF4769GBbMy5dzFmC1Wvnmh/nMnFs0Ojp3m+C3RqGrEEH65m1ce+dDrIZ00OsIfuNVfLt2JOSjd7jy+FC376uQ999EGxxExq69XHt7HOp1230VMGwwAU8NJPj1V8jctQ/Lpcv2Y3RVIwkeMxI0Gq5Pmkbq4qVgtaKEhRL66ft41qpO8JiRxL/0WkG9Dfc8r8deQClRBvPRXWTM/xIyM8BDh2evZ9HVb4PXgFEYvnzFrafZmuDiePV/BY1Oj/nQNjIWT4EMA2gU9O36om/XB++n38UwYQSYTQV/cveg76Z/wQNVI1m58i8eH/g8qalpeHp6Mm3qpwx+si/z533Dg3XaoLp5X336yVt06PAwMTEX6N7zSXuHqUvntsyf9w19+3Tnj5XrWLBgqf2Yh+rUZPq349FoNIwcNZYpU2dhtVopVaoEPy2aQePG9Zj+zXg6dOpXIO/BPecem9OzZcsWpk+fzvHjxzGZTFSvXp1hw4bRokULt+tYt24dc+bM4fDhwyiKQmRkJAMGDKBr164uyycnJ/Pdd9+xbt06Ll26RFhYGO3bt2f48OH4+fnd8TnJnB4hAG3Zcng2a4FqMJD82ce2Dg+AyUjKl+Mxn4vGI6I8ns2au1dfRAS6KlFYVZXkTz+ydXgAVJW02bMwHTuKRq/Hq3Vbt+rTN2mKd+euqKkpJH/2sWSBySfxCdd4ecyHfPvD/MJuSpHkEVEW71bNUdMMXHv/U1uHB8BoIvHjCZjORqOrUB7vVs3cq69CBPqqVbCqKtfGfmLr8ACoKsnf/YDx8DE0ej0+7Vs7HBc44jk0Wi0pcxeRuugXyBrgoMYncG3sJ1hVFa8GddGWLJFv516UaIqFo63RCGtGOhkLv7Z1eADMJjKXfIN65TxKibJoazR0qz5di0fQeHpjuRxDxrwvbR0eAKuKcc1CzKcOooSWRNesSwGd0b0tKqoSPXt0IiUllSeHjCA1NQ2AzMxMnnl2NEeOnqDaA1Xo0SP3kQM5VahQjheeH4zJZKLrIwMdIkR/rFzHpK++A2DIk46dl/Gfv4dWq+WLCdOYPGUm2QOHLl26whODX0JVVdq0aU65cuH5cdri/9HSpUsZMmQIe/fupVatWtSpU4e9e/cybNgwFi927wHhxIkTefHFF9mxYwdly5alXr16nD9/nlGjRvHmm29isVgcyqempjJw4EBmzpyJRqOhVatWaDQaZs+eTd++fUlJSbnj88r3Tk9mZibLly9n6NChtG7dmho1atCwYUOeeOIJlixZ4nSSd5MpU6YQFRXFN998Y9/25ptvEhUVxW+//XbLbf/fzGYzTZs2JSoqiqFDC38Iy73Oq207NIqCcesWrDffWKpKxp+rAPBs1drF0c6UsGIAWJOTURMSnPabT54AQFu8+O0r0+vxH/EKAGmzZqLG5X3svHC2eftuuvQbyt8btxIWGswrz7k3n0q4z6ej7b7K2LQVa7LzfZX2+2oAvNs+7FZ92mJhtkOTklHjne8r4/Gs+6rkjftKWzwMzzq1UdPSSPnRuXNruXiJpK++IXHCFKxms1vtuN/oHmqJRlEwH93pPNfGqmLa+betXG03O69VHgTAtGUlWJzfc9MW2+etRx33nyjfTwY8/iiKovD7H2tJTLzusE9VVebMsf0o7dP7Ebfq69e3Bx4eHsxfsJQjR0447f9xzmLeefczZs9ZZN8WHl6KFi0akZycwqefTXE65uzZGEaNfp+XX3kHk0nuKwCrqub7X0G4cuUKY8eOxd/fn19++YXvv/+eWbNmsWDBAvz8/Pj444+5cuXWczG3bt3Kd999h06nY8qUKfz2229Mnz6ddevW0bVrV5YtW8bChQsdjvnqq684fvw4ffr0YeXKlUyePJnVq1fTvXt3Tp06xVdffXXH55avnZ7jx4/To0cPXnvtNXbv3k3x4sVp3bo15cuXZ/fu3bzzzjsMGDCA1FSZoHin/v33X+Lj4/H09GTz5s3ExsYWdpPuaboHqgE4JRfIZjp6xFauZk236svumChBQShhYU77teUrAGC5evtJnj6P9UFbrDjmM6dJX1F4He2i5kx0DIb0DLp1bMOvc6dTq3rVwm5SkaPPek8zc0kuYDxku688H3TvvrJctd1X2uAglGLO95WuYnlbuRyTpz3r1kGjKGTu2nsj0nST1MVLSVuyzGVHSoBSLhIANfqYy/2WmOO2chUfcKs+TXBW5zXW9Vwua7xtbpVSshzo9Hlq6/2gQf06AGzdusvl/u3b9wDQrGkDt+pr/bCts7p8xWqX+8+di+Wzz6c4DG17+OGmKIrC+g2b7ZGmm02ZOotp38zm0qW8JyspklRr/v8VgPnz52M0Ghk8eDBVqlSxb69VqxbDhg0jMzPzttGen36yzTV6+umnad++vX27l5cX48aNIyQkhKlTp2LOetCUnJzMkiVL8PPz44033kBRbN0TDw8Pxo4dS2BgID///DMGg+GOzi3fOj3R0dH069ePM2fO8NRTT7FhwwYWLVrE5MmTWbx4MStXrqRmzZrs3buXZ599lns5f8LIkSNZuXIlbdq0KbQ2LF1q+/B54oknUFWVJUuWFFpbigJtaVv43XLZ9URmyxXb/ABtSCgaL+/b1meJOYfx0EEAAl4fgybgxiRln3790deshWowkLHG9ZdMNo2/Pz59+wOQOut7+7AccedqVItiyQ9T+PTd0QQFBhR2c4okj7JZ99WlXO6rrB9D2tAQNN5et63PHB1D5n7bg4mQ995AyXHd/Af1w/PBWqhpBgyr1ti36yrZHjCYom2Tqb2aNCT4ndcIm/IFIR++g3frwk+icrdTwkoBoF5z/ZDGmpj1kMc/GPS3v452Wu0tt2sULZpA587t/a5SpfIAREefd7n/XIztIWjJksXx9fW5bX3Vq0cBcOzYKQIC/Bnx0lCW/PQ9q/5YwJcTPuCBByKdjqlhP+YkAJ06tub7GV+yetUi5s2dxqOPup6zIe5+GzduBKBtW+fh99nb/v3331vWceKELWLYqlUrp32+vr7UqFGDxMREDh2yfZ7v3LmTjIwMGjVq5DR3x9fXl8aNG5ORkcHOnTvzfD455UsiA6vVyujRozEYDLz44ouMGDHCqUxERAQzZsyga9eu7Nq1i7/++svlG3ovKF68OMXdGZZUQK5du8aGDRsoU6YMTz31FD/++CO//PILL730Eh4ekpviv9AE2TolanKyy/05h+ZoAgOxZrh+YpxT0th3CHzrXfR16xG28CfMsedRQkLQhoRiPhdN8oTxqPG3Hqrm3aUbip8f5jNnMG7bmoczErdTp2a1wm5CkacEBQG24Wiu5LzflKBALOkZt60z4Y33CPngLbwa1qPk8kWYY2LRhoagDQ3BdDaaxI8mYLkaby+fPdTNmpZG6OfjnOYP+bRvTfqW7Vx7832smZl5PcX7gsbX1rm0GlyPqbcaUnOU9cdqvPV1tF67iqZEWZSSES6jR0qJsjfq8/ZFHvU4KlYsFICEhESX+69du27/d1hYCGlpuT8d9/T0pHhxW8eybJnSrPlzMWXKlLLvb9euJS88/yTDX3qLWT8ssG8vm/VAIzk5lZ+XzKRHd8f5Q/369mDVqr/o0+8Z0t24r+8L90AiA6vVyqlTp1AUhYoVKzrtL1++PIqicOrUKaxWKxqNxmU92Qk0cks+oM16sHH69GkefPBBTp06BUBkpHMHG7C35fjx47Rs+d8fVOVLpGf37t0cPHiQEiVK8Nxzz+VaLiQkhKeeesreY8t2+fJlPvnkEzp37kydOnWoWbMmbdq0YezYsQ7jBsePH09UVBRTp051Wf+8efOIiorio48+sm+7fv06X331FT169OChhx6iRo0atGjRgtdee40zeUg/nNOt5vmcOHGCn3/+mR49elCrVi0aNWrEa6+95nL4WXp6OjNnzqRPnz7Ur1+fGjVq0LRpU4YPH86BAwdyff0VK1ZgMplo3749ISEhNGvWjLi4OP766y+HcklJSdSsWZM6deqQnu78I91isdC0aVOqV69OQo55JydOnODll1+mWbNm1K5dm/79+7Np0ya++eYboqKi2L59+3952+5qGr2n7R+5/OixGm9s13h6ulepyYTpyGGsGRm2dNOVI9GG2L6s1Ph4MBlvfbyi4P1IdwAMSxbduqwQdyGNp21oUm6dCWumMUdZ9+4rq9GE8fBR1IwMFC8v9FUqow0NAcASl4DV5JjtS+Nje9Lt1783Xs0akTTtey527MWFFp1IGPMBlsTreDdpSNDrL+f5/O4b2UPMcvvMyrldd/vraD5qG5alb9kdtDc9qNNo0LXsfuP/y4M8J95ZUdH0DNediZydDO/bRFD9/X3t/543dxrp6Rl06ToAX/+KRFSox1dfzUCn0/HNtM94uFXTG8dl/Zh95eVn6NK5LW+9/QmlwmvhH1iJvv2fJS4ugU6d2jBl8if/+TzF7S1dupRBgwa5/Zc9Sig3SUlJGI1GgoKC0Oudh5Z6eHgQHBxMeno6aWmuhzUCVKhgi7Dv2uU8BDMzM5PDh21Dnq9ds62PFpc1JaBYsWIu68venuBijnRe5EunZ+VKW5rddu3auXyTcho6dCg//vijPV3dqVOn6N69O3PmzEGr1dK8eXPq1q3LtWvXWLRoEf369bPPAere3fZBuGrVKpd1//777wA88oht8l58fDyPPvoo3377LQaDgSZNmtCwYUN7soU+ffpwKZdhF//V119/zdtvv42iKLRo0QKtVsvy5ct5/PHHHeYyZWRkMGDAAL744guuXLlCvXr1aNq0KRqNhrVr1/L4449z8OBBl6+R/R9t9vvRo0cPAKcxloGBgbRq1QqDwcCGDRuc6tm2bRvx8fE0bdqU0FDbj/Fdu3bRt29f/vzzT4oXL07Lli2JjY1l2LBh/P3333f69ty9bjchMOfTDDeGmGl8/Qj68mt8Bz2J8eABrj3zNFc7tCF+QF8MS39GX7ceQZMm41Gteq516Bs3QVuiJJb4eDL+WufumQhx98jv+8rPl2LfTiTgqUEY9x3kysBhxDZtz6Uej5Oy+Be8GtSl2PSv0Ne4EcXTZH0naYODSJ7+Ayn/W4iaeB1rZibpf//DtXdtD8l8OrfHo3y5vJ/j/SCfr6Pp3xVY05JRwkrhNfQ9lNIVQNGiKVYarydeRwkrdeNB012c/Kiw3C4hVPZ8COC2Uwm8vG50inx9fejUpT+r12wgMzOTCxcuMfr1D5i/4Be0Wi0fffhmjuNsndtixUJ5b+x4xn8xjbi4BNLTM/jll98ZOOhFAJ4Y1JuqVSvn+RyLJKua738XLlxgx44dbv9duHDrNYuyH5B7e+c+jD/7v5lbdXp69uwJ2JIT7N+/377daDTy8ccfczVrPrPRaHtgkj1XJ7fXzX7NO53Tky+PULIjJjXdnOSd0/jx47l+/TpvvfUWTz75pH17QkIC/fr1IyYmhr///ptHHnmEqKgoqlatyrFjxzhx4oTDBKuLFy+yb98+KlSoQK1atQCYNm0asbGxDB48mDfffNMehktNTWXYsGHs2bOHX3/9leeff/5OTt/BP//8w7fffkvr1q3tr9W3b19OnTrFihUr6N/fNj9j3rx5HD58mA4dOjBx4kT7sDSj0cjo0aNZvXo1ixcvdnpPjxw5wrFjx6hevTpVq9omCbdu3Zrg4GC2bNlCTEwM5crd+OLu3r07a9asYdWqVXTq5Bh+/uOPP4AbnUSj0ciYMWMwGAx8+OGH9OljW0grMzOT1157jdWrbz3/5F5mzchAo9NBLp12TY7JtO4MgfHp1x9dZCTmM6dJevtN+xe3evkyqdOmYDWZ8O3bH/8Rr5D43DCXdXi1sIVwM/9ZL1/84p5kTbfdV5rc7iu97kbZzNtEPrHN29FHRWI8eZr4kW/Z7wvLpcskTZwGRhP+g/oR9NrLXH3y2ax6bfermmYgZeHPTnVm7tyD8fAx9NWr4tWsManRhbuQ4l3JmAkeOtufKzm33y6CDVhTEkmf/QneQ97Go3JNPF6deGNfRjoZ8yfi1ftF0HtizbizHzlFUVqaAb1ej1cu0VFPzxv32+2GluUcBTJv/i8u5wl99vkUBjz+KA0bPkSxYqH2zg1ASkoqX339vdMxf/29kZ0791K/fh26dG7LsWOn3Dq3Iq0AhreFh4fToIF7CSuyy99Kzg7z7dyqQ92uXTt69+7NkiVL6NevH7Vq1SIkJIQjR46QnJxMz549WbZsGTqd7bMje7hbbsPlsrm77lRu8qXTkx2Wyo4W5EXp0qVp3749gwYNctgeGhpK27Zt+eGHHxyiMY888gjHjh1j5cqVDp2eP/74A6vVav8BDxAcHEzz5s156aWXHN5IPz8/unbtyp49e/I90tOxY0d7hyf7tbp3786XX35pH7MItl5ry5YtGTVqlMM8HL1eT69evVi9erXLtmVHeXr16uVwTLdu3fjf//7HTz/9xOjRo+37WrRoQVBQEP/88w9paWn4+tpC2UajkbVr1+Lr62ufW/XPP/8QExNDmzZt7B0esI35/eSTT9i6dSvJucx5udepyUko/v4oAa4ntGtybFeTrt+2Ps/mtlSrhsWLXHZYDAvm4fNYb3SRVdCWDsdy8aanL4qCvoFtzYuMDevdPAsh7i5qUjJKQO73lRJ4I8GHelPqXVe8H7bdV6nzf3J5XyXPWYBf/97oq0aiLVMaS+xF1BRbhN18LgZySUltOhuNvnpVPEqVvG0b7kdWQwoaHz80Pv4u9+fcbk1LcqtO9dxx0r4Yjq5JR7Rlbd/l6oUzmLavwZpyHbxs31XWFNfzVu5nCQmJBAcHERIS5HJ/aGiw/d9xcbceDpScnIqqqiiKwsGDR1yWOXHiDCaTCZ1OR/mIssTFJXA9a+25Y8dPYTK5XkD28JET1K9fh/ISQS0wvXr1cvg9eKd8soYDZ97i4W729JTssrn56KOPqF27NvPnz+fIkSP4+fnRpEkTRowYYR+x5e9v++zIjvBk5DJk093XvJ18Gd6W3UMz/4c1Dt5//32mTJni0Lu8evUq//zzD8eO2SY45ryhunbtiqIoTkPcVq5ciUajoVu3bvZtI0aMYObMmQ4Tqa5du8bWrVvt4wxzu1n/q9q1azttC8tKWZwzLDdw4EBmzJhBRESEfVtycjK7du2yZ8XIDvtlMxqNrFixAp1O57Sa7aOPPgrYOkU5z0mv19OxY0cyMjIchqdt3LiR5ORk2rdvbw8bbtmyBbD10G/m5+dH8+buLcx5L7Kctz3d1ZZw/aNHW8K2aKElPj7XeT+uypvPu35qbE1NtS+sqJRwXhBRV70GSkAglqtXMR9xne5XiLud6VzWfZVLZyJ7MVBLXLxbEVSPrPKmXKIx1pRU1OvXHcqaY1xnuHKQ9fTQ6mLNGAHqVdtDGU2I6/H2mmDbdjXpmluRHru0ZExrfyLjh4/I+OEjjKsXYL0ej1KyHBqtFjUpAdJzH0Jzvzp+/DQAERFlXe6PKFcGgIsXL9820mMymTh79tbRTavVan+qbzLbfl+cOHH7OdHZT+Xz+3fWvcqqWvP9L7/5+fnh4+NDYmKiy9/0ZrOZxMREPD09CcjlYVZOvXv35tdff+XgwYNs3bqVL7/8koiICPsIsdKlSwPYk4PFx8e7rOd2c37clS+RnmLFinH8+HH7hKS8Onr0KAsWLODAgQPExMTYOwfZ0ZmcIbQSJUrQuHFjNm/ezJEjR6hWrRpnzpzhyJEjPPTQQ5Qt6/ghEBMTw7x589izZw9nz561z6txVXd+yO615pTdKbz5ta5evcr8+fPZvn07Z8+e5XrWl3Vu4b3169dz/fp1fHx8eOmll1y+TkJCAmvXrqVz58727d27d2fRokWsXLnS3im8eWgbYI8slSpVClduFxa9l5mPH8ezURM8qlUDF2vh6LLm3piPHXXa54o1zYBG74kSEuK6gE5vz2xldTFGNfv1TAf2ufV6QtyNTEdP4N2sMfoaD5C2dLnTfn0N27ouxsOu13+5mZqWhtZTjzYsFJc/o/Q6lOCgrLIGh7o9KkSApx5cDKPzKGv7kWi5kL+R/6JCjT0F1eqhLReFeavzMGdtRFak5rzzwpauKBUeQFs2EsvZo6jnTzrXV60eAJbTrtdNu9/t3rOfLl3a0rDhQ3w3439O+xs2fAiAHTv3ulXfzl37qFSpPHXrOj+0BYiIKINer8disRAdbUvKtDOr7moPVMHLy8vlE/rIyrbJ7LfrVIm7h0ajoXLlyhw4cIDo6GgqV3acj3X27FlUVXUYaeXK5cuXOX36NJUrV6aEiwe727dvR6PRUL267bdOdta2nCOicjp92tbRj4qKyvM55ZQvkZ4aNWoA3DLjWLaLFy/y9ddfs23bNgBmzJhBjx49+Omnn1BVlXbt2jFq1CjmzJmT61yb7B/q2dGe7EQK2RP7s61YsYKOHTsyZ84cUlJSaNGiBS+99BIzZszggw8++G8nexu3G4+Ybdu2bbRv357p06dz5coVGjRowHPPPcfUqVP59ttvXR6TPbTNYDC4nKCWPbnx5oQG2Z3BTZs2kZqaSnp6OuvXr6dEiRI0atTIXi77aUxuHcF7eW2l28nYZIuueTZphubmjqui4NWho63cujU3H+qScf8+ALw7dXa536tdO9uTzNQUzKedb3KPyrYPANNJ5x8EQtwr0jfY1nvwbtkUTYDzfeXbtQMAhj/XulVf5h7bhFjfbh1d7vfpmHVfpaRiOmn7kszctQdL4nUUb2/8ejivHaKLrIi+dg2sqkr6P5vdasf9xnzI9n3tUb0BeN+UglajoKtnG9Jt2vOPW/Vpy1XBs9sQdC26Oe/09EbXyPbfhclFB0vAsl9tv326P9KB4KxOfjZFUXjiCdvw9Pk5FhO9lZ+W2B5IPNqrC6VLO0dlX3huMAD//ruN61kjFP76exNxcQn4+vowbOgAp2Nq1apG06YNUFWV35b/6VY7irx7ZHHS7FE969Y5J1DK3na7tNEbNmzgqaeeYsGCBU771q9fz+XLl6lXr559JFT9+vXx8vJi69atTskK0tLS2Lp1Kz4+PtStW/c/nVO2fOn0ZC/S+c8//zgNybrZ8uXL+eabb/j44485f/48kyZNIigoiCVLlrBixQrGjx/PM888Q6NGjVymWQbb8Ctvb2/7xPqVK1ei0+kcJuqnpaUxduxYFEVhxowZrF69mkmTJjF8+HBatmx523YWJKvVyjvvvEN6ejofffQR69evZ8qUKbz66qu0a9fOZeciLi6OjRs34uvry/79+zl+/LjT35YtW/Dw8GD79u1ER0c7HP/II49gNBr566+/WL9+PQaDgS5dujgMKyxZ0vZhd/HiRZftzu/5T3cTy5kzZG7bguLnR+DYcTfm8Oj0+I96HY+I8phjzpG5aaPDcZqAQLRly6EtVdphu2HRAqxmM55Nm+P7zHOQI0OOZ4uW+D37gq3cwgUu5xl4VKpka1f02fw8TSH+X5lOnSF901YUPz9CP33/xtwevY7gt0ejq1AeU3QM6Rs2ORynBAbgEVEWbbjjfZUydyFWsxnvls0IHP4Mmhz3lXfrFgS9bFsyIeV/C2/cVxaV5O9mAxD4wjC829+Yc6ktWYLgsWPQKAqGP9dhuSwrx7uiXjqH+cguNN6+eD3xOmTP4fHQ4dn7BZQSZVGvxmI5dNNyBj7+aIqFowl1/CFtPrQdq9mER62meDx4Y90kjX8QXoPHoASEYD66CzXavcj6/ebgwaP88cc6AgMD+GnRDEJCbHN4PD09mfHdBKo9UIVjx0/x66+O0wBCQ4OJiqpExYoRDttXrFjD1q278Pf347df5zjs7937EV54YTAAn3422b7dYrEw9v0vAPjk4zH069fDvq9cuXBm//A1iqIwf8FSYmJunTHsvqGq+f9XAHr16oWnpyfff/+9ffFQgIMHDzJz5ky8vLx4/PHH7dtjYmI4ffo0KSk31vFq0aIFOp2OBQsWcO7cOfv2M2fOMHbsWACHNT19fHzo0aMHSUlJfPDBB/ahdWazmXHjxpGcnEzfvn1zXffHXfkyvK1WrVrUq1ePXbt2MWPGDIYPH+6y3OXLl5k7dy6APSWzqqo0bdrUnnEtm6qqbN261f7vnLIn369YsYLVq1dz+vRp2rZtS2COSbGnT58mLS2NBx980GWPdPPmzS7r/v9w7do1zp8/T7Fixejdu7fTfldt++2337BYLLRu3dohxWROoaGhNGvWjA0bNrB48WLeeOMN+75HHnmEadOmsX79jUnxN0fGGjZsyM8//8yGDRvsc4SyZWZm2uf8FFUpkybi8XUF9HUeImzBT5hjzqEtVRolIAA1NYWkse86pWP16dET3yeHYLl8iYQB/ezbzSdPkDLxC/xHvoZv3/54d+uOJfY82mLFUYJtX1Dpq1dhWOT8FARAyV7PJ8X1YoBC3Cuufz4JXcUKeNWrQ8nlCzFHx+BRuhRKYABqSioJb7zndF/59e5JwLAnMV+8zOWeN75cTcdOkvjJlwS/NQr/Qf3w7fUI5vOxaIsXQ5v1wy/t9z9tnZ4c0patwKNCBP59exH64TuYhz+DmpiErnIFNB4eGA8f4/pE1+u/CZvMpdNRSn6CR+Wa+L49A/VKLEpoCTQ+/ljT00if87nTddQ37Yy+fT/Ua1cxfPqsfbs14TLG33/Es8cwvAaMQu00EGt6GkqJsmg8dFjOnyJj/sSbmyByeGH4m/xTfRkPP9yUs6d3cPTYSSpWKEdISDDXryfxWO+nnR6gvvjCEN57dxTR0eepXOXGKA+r1Urf/s+yZvVi6jxYgyOH/uXI0RP4+fraO0DvjR3P3+sdH07M+H4uDzwQyUvDn2be/6bx6cdvExefQM0aVdHpdOzcuZdXR75X8G+GyFdlypThjTfeYNy4cfTr14+GDW1JlbZv347ZbObzzz93SFw2ePBgLly4wKeffmpPqlC6dGleeeUVvvjiC7p3706DBg2wWCxs374dk8nE6NGjnbLOvfrqq2zfvp1ff/2V3bt3U61aNY4cOcL58+epXr26y2kdeZUvkR6A9957D09PT6ZMmcKECRMcenxgG6f3zDPPEB8fz4MPPkjv3r3tc0f27Nljn88Cth/Y48aNsycycJVFInuI2yef2Ba+uvkHfHbU4sSJE5w/f2Miq8Vi4dtvv7X/+L9VhoqCEhQUhJeXF/Hx8Q75y61WK7/88gsLFy50alv20LYuXbrcsu7s92HZsmUO0azy5ctTu3ZtNm7cyMaNG6lSpYo95XW29u3bU7JkSdasWcOvv/5q3242m/nggw/sc7bcHcJ3r1Hj47j2/DMYlv6MmnQdj4qVwGIh4691JL7wLJaYc7evJIeM1X+S+PwzZKxdgzUtFY8KFUGrxbh7F0kfvEfK+M9cH6goaLKy7FlvkQdfiHuB5Wo8V598jpTFv2R1NCpitVgwrP6Lq0Oex5zHFNGGP1ZzdfBzpK1ai5qWhq5SBTRaLRnbd5Ew5n0SPxzv8rikiVOJH/kWGdt2onh54RFRBnN0DElTZ3D1+VewpqS6PE7YWJMSMHw9GuPG37GmJqOUisCqqpj2/oth8mtYrzovwH0rps0rSZ/zGZbTh9H4BNiiRfGXyFw1j/Rv3oZM1yM9hM2FC5do0KgTk6fMJC4ugVo1H8BstrBw0TIaNemS5xTRFy9epn6DDox9/wuOHT9F5UoV8Pf3Y/Xq9XTu8jiffPq1y+NeHfke3Xs8yZo1G/D19SaqSiWOHT/FmLc+5uE2j9mHwwnumeFtAAMGDGD69OnUrl2bPXv2cOjQIR566CFmz57t9Hs7N0OHDuWTTz6hfPnybN26laNHj9KwYUNmz57NsGHOS3UEBQWxaNEiBg0ahNlsZv369SiKwtChQ5kzZ449+/Cd0FjzcaLG7t27ef7550lKSsLHx4caNWoQGhrKhQsXOHjwIFarlTp16vDNN98QEhKCxWJhwIAB7N27l6CgIB566CFUVWXv3r0kJSVRuXJl++Kl48c7fpFZLBZatmxJXFwcAQEBbN682Wlh1FdffZWVK1fi7e1NgwYN8PDw4MCBA8TFxdnrrlevHvPnzwdgypQpTJ06lZdffpkXXrANP3rzzTdZtmwZ48ePt19od7dl++2333j99dfp2bMnn31m+6E7YcIEvv/+e3Q6HQ0aNMDHx4ejR48SGxtLpUqVOHPmDCVLlmTDhg3s37+fPn36EBgYyObNm+15zV3JzMykadOmpKSk8OWXXzpkeZs/fz7jxo0DYPTo0S7/o9u6dSvDhg3DZDJRs2ZNwsPDOXjwIFeuXKF48eJcvHiRhQsX8tBDD93+P4g8uNrm1uNDxd0jePHswm6CcNOVLkMLuwnCTUEtAm9fSNwVgr7eUdhNEHlgNt4dw+tSXuh0+0J55P/NqtsXEnb5FukBqFu3LitXruT555+nYsWKHDlyhDVr1hATE0Pjxo35/PPPWbBgASFZGa20Wi3Tp09n0KBB+Pv7s3HjRvbs2UOVKlWYMGEC8+bNQ6PR8O+//zqlztNqtfaoR8eOHZ06PGCLAg0fPpySJUuydetWtm3bRsmSJXnvvfdYtmwZgYGB7Nu37z9nnbsTr7zyCm+99RYVKlRgz549bNq0CV9fX1555RWWLl1KlSpVuHTpEseOHeOXX34BbHOZbtXhAduY3o4dbZN8b05o0KlTJ3Q6HYqiOKT2zqlx48YsWrSIhx9+mHPnzrF+/XpKlizJ7Nmz7Vk2XGWoE0IIIYQQubiHIj1FVb5GesS9LT4+nqSkJMLDw13OG3rkkUc4efIku3fvvuMFom4mkZ57h0R67h0S6bl3SKTn3iGRnnvLXRPpec511sk74T9dMuPlRb5GesS97ciRI3Tu3Jmnn37aKbvdkiVLOH78OE2bNs33Do8QQgghRFGWvchrfv6JvMmX7G2iaGjcuDHVq1dn165dtGzZktq1a6PT6Th9+jSnT5+mWLFi9lSDQgghhBDCTTIcrdBJpEfY6XQ6/ve//zF69GhKlizJnj17+Pfff7FYLDz11FMsX76csmXLFnYzhRBCCCGEyBOJ9AgHfn5+DBs2zGVmNyGEEEII8R9IpKfQSaRHCCGEEEIIUaRJpEcIIYQQQogCZJVIT6GTTo8QQgghhBAFSTo9hU6GtwkhhBBCCCGKNIn0CCGEEEIIUZDUwm6AkEiPEEIIIYQQokiTSI8QQgghhBAFSBIZFD7p9AghhBBCCFGQpNNT6GR4mxBCCCGEEKJIk0iPEEIIIYQQBUkSGRQ6ifQIIYQQQgghijSJ9AghhBBCCFGAJJFB4ZNIjxBCCCGEEKJIk0iPEEIIIYQQBUnm9BQ66fQIIYQQQghRgGR4W+GT4W1CCCGEEEKIIk0iPUIIIYQQQhQkGd5W6CTSI4QQQgghhCjSJNIjhBBCCCFEAbJKpKfQSadHCCGEEEKIgiSdnkInw9uEEEIIIYQQRZpEeoQQQgghhChAMryt8EmkRwghhBBCCFGkSaRHCCGEEEKIgiSRnkInnR4hhBBCCCEKkAxvK3wyvE0IIYQQQghRpEmkRwghhBBCiAIkkZ7CJ5EeIYQQQgghRJEmkR4hhBBCCCEKkER6Cp90esRdwbO0/Kd4r7jSZWhhN0G4qcQfMwu7CcJNiX2HFHYThJtWBjcv7CaIe5FVU9gtuO/J8DYhhBBCCCFEkSaP14UQQgghhChAMryt8EmkRwghhBBCCFGkSaRHCCGEEEKIAmRVZU5PYZNIjxBCCCGEEKJIk0iPEEIIIYQQBUjm9BQ+6fQIIYQQQghRgKySsrrQyfA2IYQQQgghRJEmkR4hhBBCCCEKkAxvK3wS6RFCCCGEEEIUaRLpEUIIIYQQogBJyurCJ50eIYQQQgghCpDVWtgtyJstW7Ywffp0jh8/jslkonr16gwbNowWLVq4Xce+ffv49ttv2bt3LwaDgZIlS9K6dWtefPFFAgMDncq3bduW8+fP51rf4cOH8fD4710X6fQIIYQQQgghAFi6dCljxoxBr9fTqFEjVFVl+/btDBs2jHHjxtG3b9/b1rFu3TpefvllzGYztWvXJiwsjIMHDzJnzhw2bNjAokWLCAkJsZdPSUkhNjaWsLAwGjdu7LJORbmzWTnS6RFCCCGEEKIA3SvD265cucLYsWPx9/dnwYIFVKlSBYADBw4wZMgQPv74Y1q1akWJEiVyrcNsNjN27FhUVWXKlCm0b98egMzMTF5++WXWr1/PtGnTePfdd+3HHD16FKvVysMPP8xHH31UIOcmiQyEEEIIIYQQzJ8/H6PRyODBg+0dHoBatWoxbNgwMjMzWbx48S3rOH78OPHx8VStWtXe4QHw9PTkhRdeAGDnzp0Oxxw5cgSA6tWr59epOJFOjxBCCCGEEAXIqmry/a8gbNy4EbDNr7lZ9rZ///33lnVkD0NLSEjAbDY77EtMTARwmtNz9OhRQDo9QgghhBBC3LOs1vz/y/82Wjl16hSKolCxYkWn/eXLl0dRFE6dOoX1Fg2oXLkypUqV4sqVK7z++uvExMSQnp7O1q1b+eCDD1AUhSFDhjgcc+TIEbRaLWfPnmXAgAHUq1eP+vXr89xzz3HgwIF8OT+Z0yOEEEIIIcQ9ZunSpSxbtszt8j179qRXr1657k9KSsJoNBISEoJer3fa7+HhQXBwMAkJCaSlpeHn5+eyHp1Ox+TJkxk+fDh//PEHf/zxh31f8eLFmTlzJk2bNrVvMxqNnDlzBovFwuuvv07NmjVp2LAhJ0+eZP369WzatIkJEybQsWNHt8/VFen0CCGEEEIIUYAKYjjahQsX2LFjh9vlGzRocMv96enpAHh7e+daxsvLC+CWnR6AcuXK0a1bN2bPnk316tUJDQ3l0KFDXL16lZkzZ1K9enWCgoIA2xwgs9mMr68v06ZNc8je9uOPP/Lpp58yZswY6tatS7Fixdw9XSfS6RFCCCGEEOIeEx4eftuOzM3lbyUvKaFvNbwtMTGRxx9/nCtXrjB79mwaNmwI2CI648aNY8mSJQwfPpx58+YBULNmTTZt2oTRaHRq4+DBg9m5cyfr1q1j2bJlPPPMM2638WbS6RFCCCGEEKIAWa35H+np1avXLYer5ZWPjw9gSy2dm4yMDIeyrsyaNYszZ87w2muv2Ts8AHq9nrFjx7Jr1y527tzJrl27qFevHsAtIzgPP/ww69at49ChQ3k6n5tJIgMhhBBCCCHuc35+fvj4+JCYmOiUdQ1s6+8kJibi6elJQEBArvVkD7nLOW8nm06no0mTJsCNNNW3k90hyu5w/VfS6RFCCCGEEKIAWdX8/8tvGo2GypUrY7FYiI6Odtp/9uxZVFV1WL/HleTkZAC0Wq3L/dnbTSYTACtXrmTUqFGsWLHCZfnY2FgASpYs6dZ55EY6PUIIIYQQQhQg1arJ97+C0Lx5cwDWrVvntC97W8uWLW9ZR3a663/++cdpn8ViYdu2bQBUrVoVsK3n8/vvv7Nw4UKn8larleXLlwPQrFkzd0/DJen0CCGEEEIIIejVqxeenp58//33DnNoDh48yMyZM/Hy8uLxxx+3b4+JieH06dOkpKTYt/Xt2xeA6dOns3v3bvt2s9nM+PHjOXHiBJGRkTRq1AiALl264Ofnx+7du/nxxx/t5a1WK9OmTWPfvn1UqVKF1q1b39G5aay3Sr8gxP+TpEFtCrsJwk0pJ+Qj415R4o+Zhd0E4abEvkNuX0jcFfYdKlXYTRB50P7KosJuAgDHq3bK9zqjjq3K9zoB5s+fz7hx49DpdPZEBNu3b8dsNvP555/TvXt3e9nWrVtz4cIFPv30U4ekCl9++SUzZsxAo9Hw4IMPEhISwtGjR7l48SJhYWHMmTOHypUr28uvXr2aUaNGYTKZiIyMpGLFihw/fpzo6GiKFSvGvHnzKF++/B2dl2RvE0IIIYQQQgAwYMAASpcuzcyZM9mzZw96vZ6HHnqI559/3mENnVsZNWoUDz30EHPnzuXgwYMcOnSI4sWLM3DgQJ599lmKFy/uUL5Dhw6Eh4fz3XffsXPnTqKjoylevDiDBg3ihRdeICQk5I7PSyI94q4gkZ57h0R67h0S6bl3SKTn3iGRnnvL3RLpOValc77XWfXEynyvsyiTSI8QQgghhBAFSEIMhU8SGQghhBBCCCGKNIn0CCGEEEIIUYCsasGkmBbuk0iPEEIIIYQQokiTSI8QOfn44dXzCXT1mqEJCsGanIT54E4ylv0Pa8LVPFenCQ7Ds/tAdLUb2OpLN2A5eZjM3xdhOXk4l4MU9G26oWveAW14OQDUS7EYN63BuPZXUAtgGeZ7kMbfj4ChT+LdshnasBDUxCQytu0gedZcLJev5Lk+bfEw/IcMxKtxQ1t9aQaMBw6TMnchxgO5XCtAVzUS/4H98KxTCyUwAMu1RDI2byN55v9QE67dySmKXKiqyoBnR3L+wiU2rVxc2M0pUjR+fvg+MRjPZs1RQkJRk65j3LmDtP/NQb2a9/tKCSuG78BB6Bs0RAkJxWpIw3T4MIZFCzAdPuRQ1veJwfg+6V5Ch/TVq0gZ/1me21OUeAT6Umn0oxTvVB/PEsEYE5KJX7+fM1/+QkZsfJ7r8ywVQsVXexLW+kE8SwRjTjFwfdcJoqcs5/rOEy6PUbx0lBvaiZKPNMKnUik0Wi0ZsXFcXb2b6GkrMF1LcXnc/aigFhMV7pPsbeKucFdkb/Pxw++9yWjDI7Cmp2G5FItSvBSKXwDWtBRSPx6Jev6M29Up4RH4vjURJSAIqzET9XIsmuAwFP9ArBYL6T9MxPTvnzcdpODzyjh0dWwpIS1XLoJqQSkRjkZRMB3YiWHi22Cx5OeZ58ndkL1N4+9H8e+noKsQgZqWhjkmFo/SpVACA1CTU4h7/lVMp9y/Vh4VylPs24log4OwZmRiOh+LtlgY2qBArGYLiZ99iWHFn07H+XTrRPCbI9F4aLHEJ2BJvI6ufDk0Oh2W+ASuDhuB5eKl/Dz1PCmq2du+mv4jM+cuJigwoMh0eu6G7G0aPz+CJ3+DR4TtvrLEnkdbqjRKQABqSgqJI0dgOeP+faWNKE/wxK9RgoKwZmZijj2PNiwMJTAIq8VMysQvyfjzRvYpr46d8eqY+1omGi8vdJFVAEidPQvDvP/995O9A3dD9jaPQF8a/D4OvyrhmFMMpJ2+hE9ECXTBfpiup7Kz5zhSj8S4XZ9vVBnqL30PfVgAlnQjhjOX8CwZjD40ANVs4cjo77m4cINjG4J8qb/0PfyrR2BVVTJi47FkmPCpUAJF50F6bDy7Hv2Q9Oi8d5bz092Sve1ghW75XmfNsyvyvc6iTCI9QmTxeXoU2vAITPu2YZj2EWSkg06H9+BX0LfoiM+L75A6ZihY3Yu0+Dz7JkpAEOYjezFM/RBrShJoFDwffRKv7gPxHvwy5qP7sMZdth+jb/MIujqNsaankTbpPSxH9wGgjayGz6sfo6tVH88ufclcvqAg3oJ7RvBbo9BViCB98zauvfMhVkM66HUEv/Eqvl07EvLRO1x5fKjbUbGQ999EGxxExq69XHt7HOr1JFAUAoYNJuCpgQS//gqZu/ZhuXTjWumqRhI8ZiRoNFyfNI3UxUvBakUJCyX00/fxrFWd4DEjiX/ptYJ6G+47VquVb36Yz8y5RaOjc7fxH/UaHhERZG7bSvJHH2BNTwedHv9XRuLdsROB74zl2tAhbt9XAW++hRIUhHHvHpI+fB9rku2+8n1yCL4Dn8D/5Vcx7tuDetl2X2X8udKhE+SqfbrIKhj37cWwYF6+nPO9qvqXz+BXJZy4tXs48OxkLGkZKJ46Hvj8acL7t6LW9BFsafUaqO49pKo55QX0YQFc23SI/c98jSkhBRQNlV/vTcVXe1Ht86dJ3HyY9Jg4+zHVxg/Fv3oEqScucOCZr0g9eh4Ar/BQan77EsENq1J7xstsa/9WgbwHQuSVzOkRAlBKlcWjXjOs6QbSp39m6/AAmEykz/wSy4VzaMMj8KjXzL36SkegrVAFq6pi+PZTW4cHwKqS+fNszKePodHp0Tdq7XCcrmk7ADKXL7B3eAAsJ4+QufRHW5lmHe7oXO91HhFl8W7VHDXNwLX3P7V1eACMJhI/noDpbDS6CuXxbuXetfKoEIG+qu1aXRv7ia3DA6CqJH/3A8bDx9Do9fi0d7xWgSOeQ6PVkjJ3EamLfrHnI1XjE7g29hOsqopXg7poS5bIt3O/n8UnXOPlMR/y7Q/zC7spRZK2bDk8m7VANRhI/uxjW4cHwGQk5cvxmM9F4xFRHs9mzd2rLyICXZUorKpK8qcf2To8AKpK2uxZmI4dRaPX49W6rVv16Zs0xbtzV9TUFJI/+/i+HubrU7k0xbvUx5yazsHh07CkZQCgZpo4PPI7Uo/H4hdVhhKdG7hVn2+VcAJqV8Sqqhx8YZqtwwOgWjn12U8k7T2F4qmjZM+m9mM8S4VQoltDrBaVgy9MsXd4ADIuJLD/6UmYU9MJqF2R4MYP5N/J38Os1vz/E3lzx52epUuXEhUVRVRUFM2aNUO9zQfR6tWr7eXffPPNO335+9qIESOIioqiQYMGZGZmFnZz7mm6pm1tw8f2bsWadtMYZKuKMWsYmr5RK7fqU0LCbIemJmO9nuC03xJ9EgBNqOOKxEqw7TjL+bPOx5y1jalWbjrmfuPTsR0aRSFj01asyTddK1Ul7ffVAHi3fdit+rTFbO+5mpSMGu98rYzHbe+7tuSN911bPAzPOrVR09JI+dH5R7jl4iWSvvqGxAlTsJrNbrVD5G7z9t106TeUvzduJSw0mFeeK/yhYEWNV1vbfWXcugVrivN9lfHnKgA8W7V2cbQzJawYANbkZNQE5/vKfDLrviruxueZXo//iFcASJs1EzUu7tbli7jSjzVDoyjErdmD+Xqa407VysVFGwAo0b2xW/V5lrStdG+6lkrmlUSn/ckHbN9HXuGh9m3BTR5AoygYzl0h5WC00zHGuCSS99uGQvrXquBWO4QoaPka6YmLi2P37t23LLNypawemx8SExP5+++/8fT0JCkpiVWrVhV2k+5p2kq2J1G5JRewnDpqK1elplv1qddsX8pKQBCarI6Mw+uVKQ/glBxBTbQdp42o5HSMknWM+h8SKhQl+upVAcjMJbmA8dARADwfdO9aWa5mvefBQSjFnK+VrmJ5W7nLN953z7p10CgKmbv23og03SR18VLSlixz2ZESeXMmOgZDegbdOrbh17nTqZX134DIP7oHqgE4JRfIZjpqu690Nd38DMzqmChBQShhLj4Dy9t+CFuu3v7zzOexPmiLFcd85jTpK35z6/WLssCHKgPkmlzg+u5TAAQ3cu8+ybxk+4zShwXgWTLYab9fVFnAFsHJlrjlKPufnsTJD3Mfaq318QRA0cqgIrAlMsjvP5E3+fZfYkBAAGCL5OTGYDDwzz//oNPp8utl71srVqzAZDLxxBNPALBo0d0xUe9epS1RGgA1x/yanNQE20RMJSgEPL1uW596MQbzCduPB59nXkfjF2Dfp+/SD4+omljTDRg3rXE4zrjB9lDAs2s/tFVr2bcrEZXxesz2dNv41/39pe9RNhwAyyXXCQIsl2zXShsagsb79tfKHB1D5n7btQp57w2UwBvXyn9QPzwfrIWaZsCw6sa10lWy/WAzRdsmCns1aUjwO68RNuULQj58B+/WLf/DmYnc1KgWxZIfpvDpu6MJynF9RP7Rls66ry7ncl9dsX02akNC0Xh537Y+S8w5jIcOAhDw+hg0AYH2fT79+qOvWQvVYCBjTe6/GQA0/v749O0PQOqs72VMD+BToSQA6TGuO4wZsbYOp2fxIHvH41bSTl4kccdxAGpMeQFdiL99X/nhjxDcqCrm1HQu/vSvfXvmpWtc+X07V1fudFmnV5kw/KtFAJB64oIbZyVEwcu3RAbNmjXjr7/+Ys2aNbz99ttoNM490PXr15Oenk7r1q35+++/8+ul70tLly4FoH///mzevJm9e/dy4sQJqlSpUsgtuzdp/IMA23A0V3Ju1/gHYs3MuG2dhq/H4v38W+hq1MX/q4W27G2BIShBIVgunCN95gSsiY5pRU0bVpIREITnIwPwHfMlatwlMJtRSpUBo5GMJbMwrl7630+0CFCCggDbcDRX1OTkHGUDsaTf/lolvPEeIR+8hVfDepRcvghzTCza0BC0oSGYzkaT+NEELFdvXKvsoW7WtDRCPx/nNH/Ip31r0rds59qb72OVoad3rE7NaoXdhCJPE2TrlOS8f3LKOZRUExiINcN1hDOnpLHvEPjWu+jr1iNs4U+YY8+jhISgDQnFfC6a5AnjUeNvPVTNu0s3FD8/zGfOYNy2NQ9nVHTpQm0df1Oi63TQpsRUh7IWw+2HA+4f8iU1vxlOaMtatNg9lbQzl/AsHoRn8SBSj8dyeOR3ZF5yPwV/5LuPo3jqyLx6nWsbXUcP7zdWicwUunyL9Pj4+NCiRQuuXLnC3r17XZZZuXIlPj4+tGrVymmf2Wxm0aJFDBo0iIYNG1K9enUaNmzI008/zcaNGx3KxsbGEhUVxYgRI7h06RKvvfYajRs3platWvTo0YMlS5a4fP0LFy7w9ttv06pVK2rVqkXPnj35/fff+e2334iKirJ3JHK2ad68efTq1YsHH3yQOnXq8NhjjzF//nzMN43Tz57bNG/ePHbt2sXgwYOpW7cuderUYfDgwezc6fppyMqVK3n66adp3LgxNWrUoH79+gwcOJDff/89t7eaY8eOcfToUWrUqEF4eDiPPPIIAIsXO2c0euyxx4iKimLHjh0u68qeF7R27Vr7tmvXrvHZZ5/Rpk0batasSefOne3nFRUVxZQpU3Jt2z1LrwfAasrlB6rRaP+nRn/7J2e2ukxYTh3BmpmBxtMLbURlW6QIsCbGYzWZXB5nuRyLGncZjaKgLRGONjwCjaLFmp6Wa6fsfqLxzLpWuXQmrJk5rpWnm9fKaMJ4+ChqRgaKlxf6KpXRhtqulSUuwelaaXx8APDr3xuvZo1ImvY9Fzv24kKLTiSM+QBL4nW8mzQk6PWX83x+QhQG++dabveV8cZ2d+8rTCZMRw5jzciwpZuuHIk2xDYvRI2PB5Px1scrCt6PdAfAsERGM2TTetk+Ay3prt8/S4YxR1n3RtaomSau7z6FxZCJ1seTgBrl8SweBEDmlUTUTNffV65EPN+VUj2aAHDyk0V5OrYok0QGhS9fU1Z36tSJtWvXsnr1ah566CGHfampqfz777+0b98eLy/HISdWq5UXX3yRDRs2EBwcTO3atfHw8OD48eNs2rSJzZs3M3XqVNq2dczycvnyZXr37o3JZOLBBx8kJSWFPXv28M4775CamsqQITcmu54+fZonnniC+Ph4KlWqRK1atTh69CijRo2idu3aTueSmZnJ0KFD2bFjB76+vjRq1AiA7du3M27cOP7++2++/fZb9Fk/lrNt2rSJTz75hNKlS9O4cWPOnDnD1q1b2bVrF/PmzePBBx+0l33//fdZuHAhPj4+PPTQQ/j4+HD69Gl27tzJzp07uXbtmn34Wk6//PILAN27274MunbtyoQJE/jtt98YPXo03t43hh50796dgwcPsmrVKho0cMzkkpqayoYNGwgMDKRlS9twnPj4eAYMGEB0dDTh4eE8/PDDnD17lg8//NDl+1RkqCoo2tz3Kzme0LjzSePji9+YL9GWj8R0YCcZi79HvXAOTUgYnh0exbNDL/zeqUba569jOXXEfphnzyfw6vUkalIihqkfYtq/HTQKugcb4jXwBbyHvIpSsiwZC769g5O9x6kqaG9xrTR5u1YaP1+KfTMRfVQkGdt2kjR1Bqaz59AWC8Ov/6P4930U/fSviH/pNft8IU3Wfa8NDiJp6gxS5t74QZb+9z+oKSkUmzoBn87tSZm7CHO0++tlCFEo8vu+8vUj6Muv0EVGkrlzB2nff4f5XDRKWBg+j/bGp9djBFWbzPXXR2M+4np+nr5xE7QlSmKJjyfjr3V5PaMiy2pR0dxinoxGubHPna8rjwAf6i19l4CaFYhfv5+THy4g9UQsXqVCKPdMZyKGdaL+b++zu8/HJO06ecu6yj7dgaj3BwJwcclGp7V9hChM+Tq7rFWrVnh5ebFmzRqnfevWrcNoNNKpk/PCY3/++ScbNmygTp06bNiwgRkzZvDNN9+wdu1annzySaxWK/PnO2dI2r9/P1WrVmXt2rV89913LFiwgA8//BCAWbNmOZR97733iI+P5/nnn+ePP/5g8uTJ/PnnnwwaNIj9+/c71T1x4kR27NhBnTp1WLduHdOnT2f69OmsW7eOmjVrsmnTJiZPnux03Pr16xk2bBirV69m6tSp/PHHH3Tv3h2TycScOXPs5Q4cOMDChQuJiIjgr7/+YtasWUyZMoWVK1fas9rNm+e8DoHJZGLFihXodDq6dbMtdFWsWDGaN29OSkqKU6KILl264OHhwerVq7HctKDlunXryMzMpGPHjvbO2+eff050dDS9evVi9erVTJ48mRUrVvD666+7fJ+KjKzhahqd3vV+jxtPy3I+8cyNZ5d+aMtHYok5g2Hi26gxp8Fixhp3mYx508j8YzEaL2+8nxxhP0YpVRbPHgOxqhYMX72HafsGW+rs9DRMW/8m7fPXsZrNeHZ6DKVcxTs63XuZNWu4mkbv+lpp9DmuVeZtniRjm7ejj4rEePI08SPfwnTyNJjNWC5dJmniNFLmLkLx8SbotRtRm+wok5pmIGXhz051Zu7cY0t1rSh4NXMvg5IQhcmakTUMNLf7KsdnoztDNn369UcXGYn5zGmS3n4T8+lTYDajXr5M6rQppC1eiOLtY8/K5opXC9vDuMx/1hfqgsx3G4vBdq2yIz43U/Q3nmerGbf/DCw//BECalYg5cg59g4cT8rhc1hNFtJj4jj+zhzOTl2Oh68XD3z61C3rqTjqUR74xPawOW7tHg6/Ot3dU7ovSCKDwpevnR5fX19atGjBxYsXOXDggMO+VatW4e/vT4sWLZyOU1WV1q1bM3r0aIcokKIo9O7dG4CLFy+6fM13333XnkQBoFevXnh7exMXF0dioi314pEjR9i1axfVqlXj5Zdfts830mq1jBkzhgoVHNMpZmRksGjRIjw8PJg0aRIhISH2faGhoUyaNAmtVsv8+fOdUkWXKlWKl19+GW3WEzONRsPjjz8OwKlTp+zlUlNTad++Pa+++qpD/QB9+/bN9ZzXr19PYmIirVu3Jjj4RpaVxx57DHAe4hYSEkKzZs1ISEhwGuL2xx9/ANiHx127do3ff/+dYsWK8f777zsknMgegldUqVnDxjS+ridJ50xEYF9z5xZ09W1rWWSuXOzyyzpj+QKsFgva8pEoxW1JFHT1mqFRtFiO7neI/tjbGHMG894ttrIN7t+J8tlzeZQA19dKCbwxYVpNvH7b+rwftn0mpc7/yeW1Sp6zAKvZgr5qJNoyWQkvUmxj5s3nYiCXlNSms9EAeJQqeds2CFHY1GTb51pu95Umx3Y16fpt6/NsbruvDIsXubyvDAvmYbWY0UVWsSdRcKAo6Bs0BCBjw/rbvt79JHvOji7Iz+X+nIkIjAm3HxJdoottFEj0tN+xmp2v1dnJv6GaLQTUqoB3eRfrjikaqn05jMqv236vXfljB/uGfInVJB1VcXfJ9zyC2ZGcP//8074tKSmJzZs307ZtW6fhYGCLRnz77bfUq1fPvs1gMHDgwAF7NjiTi/kPQUFBREREOGzTarX2TkR61uJqW7bYfii2adPGKcGCVqulXbt2DtsOHTpERkYGtWvXplSpUk6vW7ZsWWrWrInBYODgwYMO+2rWrImiOL6tYVnpOg0Gg31bkyZNmDJlikPkKzMzk6NHj/Lrr7+i0WhcnnP2vKOePXs6bG/VqhWhoaHs37+fY8eOOezLHgaXMwqUmJjI1q1bKVOmDHXr1gVsQ/dUVaV58+Z4uhiz3bFjR6dtRYV60bawmlLM9UKSSphtu5oYD25EepTQEg71OjGkYk25DoAmq25N1jGWS7kcg22+T87670emc7ahYtpcOhPZi4Fa4uLdeiLtkVXelMsQNGtKKur16w5lzTG5XyO7rDXLrBZZp0fc/Szns+6rErncVyWy7qv4+Fzn/bgqbz6fy32VmmpfCFgp4fx5pqteAyUgEMvVq7kOf7tfpZ2yPRD1KlvM5X7vMrbfHBmXr6HmMu8nJ6+s8mmnXGdZMyelYcrqPHnf9JoavQe1Z71KmYFtAIhdsJ79QydJh8cFq1WT738ib/J1Tg84DnF7/fXXAVi7di0mk4nOnTvnelxycjKLFi1i48aNnDlzhvh4W6YkV1ngsvn7+7vcnh1lyV4o9VJWaltXHRiA8HDHp0xXs9YNuHl7TmXKlGHfvn32dt6qTR4etrfZetPg2oyMDH755Rf+/vtvTp06xZUrV7BarWg0GqeyYJtvk53UYcaMGfzwww8O+7OHry1atIj333/fvr1169b4+fmxZs0axo4dax/uZjKZ6Nq1q/09zuv7VJRYzh5HV6cR2krV4K8VTvu1lW3Zoyynjzntc8WakYZGr0cTFOK6gE6HJiDI9u/0rM5whu1/lcBcjuFGZ8eaYci1TFFnOnoC72aN0dd4gLSly53262vY1lwyHnbvWqlpaWg99WjDQnE53VavQwkOyiprcKjbo0IEeOrBxTA6j7JlALBccJ0CWIi7ifn4cTwbNcGjWjVwsRaOrlp1W7ljR92qz5pmQKP3RAnJ7TNQb8/EaDU4f55lv57pwD63Xu9+krzvDMXaPURQ3crEzlnrtD+wbiQASXtOOe1zxZKajtZLj2cJ5zV6ABRPHfowWwTdnJLjWikaan3zEiU62yJFZ6f8xsmPFublVO4rMhyt8OV7pMfHx4eWLVty/vx5Dh+2PZ1ZtWoVQUFBNGnSxOUxJ06coEOHDnz55ZecOXOGmjVrMnToUCZOnMjPPzuPl892qw5RTtkRk+xO0M1u7mC46nDcLLuDcXPkyt02XblyhW7dujFu3DgOHDhA5cqVefLJJ/nss89Yv369U7QI4LfffrNnjduzZw87duxw+Lue9TR6xYoVDlElLy8v2rdvz/Xr19m61ZbyM3toW3YUCLDX7e77VJSYdm0CQFe3CRrfmzquGgV98w4AGDe7N5nWfNQ2/0nf0nkOG4CuSTtbRra0VCwxp7OO2QeAR616Lhc01QQE4VGzPgCWo0V4ftVtpG+wdfy9WzZFE3DTtVIUfLvarpXhT+cfA65k7rG9l77dXEcyfTq2Q6PVoqak2ub7AJm79mBJvI7i7Y1fj65Ox+giK6KvXQOrqpL+z2a32iFEYcrYZFuDxbNJMzQ3P7xTFLw62O6PjHXOc3ZdMe7fB4B3J9cPO73aZd1XqSm2+T438ahs++FuOnnrifP3oysrbUPVi3Wqj0eQr+NORUPpvrbhz5d+3uRWfdc224ZTh/dv5XJ/qceaodEqmJLSSDl8zr690mu9KdHNNgTx5CeLpMMj7noFskxu9jCoNWvWkJiYyLZt2+jQoYM94nGzDz/8kGvXrvHiiy+yadMmpk+fzmuvvUaXLl3yZSHTkiVt4fpLuSxmePmy44KUxYvb1uCIjY3Ntc7z523DW8JcrDTtjq+++oqYmBgeffRRtmzZwqxZsxgzZgw9e/bE39/fZcdj2bJlAMyfP5/jx4+7/IuKiiI1NdXeqcmW3bn5888/iYuLY9euXdSoUYOKFW9MiC+RNcTA3fepKFHPn8G0dxsaHz98Roy9MYdHp8N76Ci04RFYLsZg3u34JaLxC0ApVRaluGN0LPP3RVjNZnR1m+LV7xmHBU096rfA+/Fns8othKzhT+b9OzCfOY7G0xvfkR+hlCxz43XCSuDz8gco/gFYYs9i2uWYxv1+Yjp1hvRNW1H8/Aj99P0bcxD0OoLfHo2uQnlM0TGkb3C8VkpgAB4RZdGGl3bYnjJ3IVazGe+WzQgc/gyaHPMKvVu3IOjl52zl/rfwxvwdi0ryd7MBCHxhGN7tW9uP0ZYsQfDYMWgUBcOf67BcvpLfb4EQ+c5y5gyZ27ag+PkROHbcjTk8Oj3+o17HI6I85phzZG5y/OzRBASiLVsObSnH+8qwaIEt8UrT5vg+8xzkuK88W7TE79kXbOUWLnA5L86jUiVbu6LP5udpFgmpR2KIW7sHXYAPD856FV2wbW6P4qmj+sRn8YsqQ9rJC04Lh+pC/PGpXBrvCMfhhGenLkc1mSneqT6R7z7usKBpia4NqfL+IFu5Kb/Zh635Rpamwgjb74rY+X9z9utfC+p0iwxrAfyJvMn34W0ADz/8MN7e3qxevZqyZctiNptdZm3Llp304LnnnnOKlGzebHtKmlv0wR0NG9qeRGzYsIERI0Y47LNaraxf7zhJskaNGnh7e3PgwAEuXrxI6dKOH+YxMTEcOXIEf39/qlat+p/alJ0JbejQoU4du+xzBtt5K4rCgQMHOHnyJKVKlbLPwXGle/fujB8/nkWLFtmTQIDtPShVqhT//PMP1apVQ1VVewKDbA0aNECj0bB582aMRqNTFKuoLyibPnsS2jJf41GtDv5fLcByIQaleCkUvwCsaakYvh7rlP9T366HLcV03GVSRg6wb1ejT5L+w0S8nxqJZ5e+6Ft3sy1OGloMJcA2hMC4cTWZvzuuPWGY/D6+b36Btnwkfp/PRr10HjQalJLhaBQt6tWLGCa9a58vcr+6/vkkdBUr4FWvDiWXL8QcHYNH6VIogQGoKakkvPGe07Xy692TgGFPYr54mcs9H7dvNx07SeInXxL81ij8B/XDt9cjmM/Hoi1eDG2I7Vql/f6nrdOTQ9qyFXhUiMC/by9CP3wH8/BnUBOT0FWugMbDA+PhY1yfOLXg3wwh8knKpIl4fF0BfZ2HCFvwE+aYc2hLlUYJCEBNTSFp7LtO95VPj574PjkEy+VLJAzoZ99uPnmClIlf4D/yNXz79se7W3cssefRFiuOkpWEJ331KgyLFrhsi5K9nk+K6wU473dHXptJg+UfENKsBi32TCX1xAV8IkqgC/bDlJTGviFfOl2rck91oNJrj5EeE8fG+i/Zt6ccOMuRUd9T7cthVBj+CGUHt8Nw+hJe4aH2YW0XFv1D9JQbw4nLDeuE4mGbShBQozz1l7+fa1svLNwgqavFXaFAIj3e3t60aNGCs2fPMmvWLIoVK2bveLiSHYn566+/HLZv2LDBvhDmzVnS8qJu3bpUr16dw4cP880339i3W61WpkyZwvHjx4EbQ9O8vb3p06cPZrOZkSNH2rPAgS3D2ciRI1FVlT59+rhMzOCO7HkzN3ck9u3bZ0+7DTfOOzuBQadOnW45hK5bt25otVoOHTpkH16YfW5du3YlLi6OGTNm4OHhQdeujsNySpUqRfv27YmLi+Ojjz5yWID1559/tncO3R3Cd6+xJsaT+t7zZK5eijU5CW25iqBaMG75i9SxL6BezNtaK6aNq0kd+zzGTWuxpqehlK0AihbTod2kTf6A9BnjnduQcJXUd58n45cfUWPPooSVQAktjnoxhoxlc0l59znUqzJHxHI1nqtPPkfK4l+yOhoVsVosGFb/xdUhz+d5XRzDH6u5Ovg50latRU1LQ1epAhqtloztu0gY8z6JHzpfK4CkiVOJH/kWGdt2onh54RFRBnN0DElTZ3D1+VewpqS6PE6Iu5EaH8e155/BsPRn1KTreFSsBBYLGX+tI/GFZ7HEnLt9JTlkrP6TxOefIWPtGqxpqXhUqAhaLcbdu0j64D1Sxn/m+kBFQeNrG7ZlTUu709MqkjIvXWNb+zGc+34VxvgU/KtFYLVYuLR0M9s7/B979x0WxbWGAfzdpVdpKoqAigiK2BV77yhYYu9RYzRqYkmMaUZjSYy5Go1dYxJLwIIdCyrYo2BFURQsCCIC0uuWuX+srCJLU5YVeH/34blh5szst4xbznznfOdbpD1QXfE2P8+8z+C/Ht/g2e5zkCanw7ieHURaWog/cws3J6zAnc9zrw1n7vb6hq9po9owd3PO98fA5t1GxJQ3LFmteWrJ9ACKL+fHjx/Hw4cPMWrUKJVzVHKMGzcOP/74I2bOnInt27fD0tIS4eHhCAsLQ7Vq1SASiZCcnKwy+1BUS5cuxahRo/D777/D19cXDg4OePDgAcLDw2Fra4unT5/mGn43a9YshISEIDAwEN26dUOLFoq5FFeuXEFaWhratWuHL7744p1iAYAxY8bg/Pnz+PXXX3Hs2DFUr14dkZGRuHPnDipVqoTKlSsjNjYWcXFxqFKlinK4WkHFIADF0LzWrVvj/Pnz8Pb2xsKFC5X7PD09sWnTJjx//hwdOnSApaVlnuO//fZb3Lp1C97e3rhw4QIaNGignJ9lZ2eHiIiIfIcplgdCajIyt69B5vY1RWqfte8fZO37J9/98oiHyNiQzwd7fjLTkbV/G7L2byvecRWMPDkZSf9bg6T/Fe1aJW/+G8mb/853v+TBQyT8uLTYcWRe+A+ZF/4r9nH07lo2bYjbF45qOoxySUhORuqa1Uhds7pI7dP++Qtp//yV737pw3Ak/7y4eEHI5Yjt3rl4x1RAkoRUhH73N0K/y/997U3hy/cgfHn+86RTQyJwe1rR3k8vdvyySO3oNVZb0zy1ZHoARRU3Q0NDAIV/UR8+fDiWLVuG+vXr4+7duwgICIBcLsfEiROxf/9+uLm5QSqV4uzZs+8cj5OTE/bs2QN3d3fExcXh9OnT0NfXx+rVq9G1q6LU4puV1/T19fHnn39i3rx5sLe3x6VLlxAUFIS6deti0aJF2LRp0zt3wACgY8eO2LhxI5o1a4aIiAicPn0aycnJGD58OA4cOKCcF3X69GmcPHkSycnJsLe3h6ura6Hnzpm/c+jQIaSmvr7T7OjoiPr1FVXI3h7alqNq1arYvXs3hgwZgqysLJw6dQqZmZlYsGABRo1SrLKcX9U8IiIiIqIPkUgozyW5XklOTkZ0dDRsbGxgbJx3Ma8pU6bg9OnTygxQRZWVlYWHDx+ievXqqPTGAo85Fi1ahG3btmHTpk0qF5l9H0mju5bo+Uh9Uu6X+7eMcqPqkc2aDoGKKGHoeE2HQEV047bqZR3ow9QjxqvwRqXgnPVHJX7O9s/zz9xRXmrL9HxIYmNj4eHhgUGDBiHlrUmRZ8+exZkzZ+Dg4FChOzyAorT3Rx99hO7duyMmJnfFqTt37mDfvn0wMzNTDvUjIiIiIioLyu/kjDc4ODigc+fO8Pf3R6dOndC0aVMYGBgo59AYGxtj6dLij+Uvb4yNjTFs2DBs374d3bt3R7NmzWBqaoqYmBjcvHkT2tra+OWXX2BgYKDpUImIiIjKDAGc06NpFaLTAwCrVq3C3r17ceDAAQQHByMtLQ1VqlTB0KFDMWnSJNja2mo6xA/Cd999hyZNmmDXrl148OABEhMTYWlpib59+2LChAnvXKKbiIiIiEhTKkynR1dXF8OHD8fw4cM1HcoHLae09dvlrImIiIjo3cg5HVbjKkynh4iIiIhIE+Qc3qZxFaKQARERERERVVzM9BARERERqRELGWgeMz1ERERERFSuMdNDRERERKRGck0HQOz0EBERERGpE4e3aR6HtxERERERUbnGTA8RERERkRpxeJvmMdNDRERERETlGjM9RERERERqxEyP5rHTQ0RERESkRixkoHkc3kZEREREROUaMz1ERERERGokZ6JH45jpISIiIiKico2ZHiIiIiIiNZJzTo/GMdNDRERERETlGjM9RERERERqJGg6AGKnh4iIiIhInbhOj+ax00NEREREREoXL17E+vXrERoaColEAhcXF0yaNAkdOnQo8jlu3LiBdevW4fr160hPT4e1tTW6dOmCzz77DJUqVcrTPjk5GRs2bMDJkycRHR0NKysr9OjRA9OmTYOxsfF7PyfO6SEiIiIiUiO5SFTiP+ri4+OD8ePH4/r162jYsCGaNGmC69evY9KkSfD29i7SOU6ePImRI0ciICAANWvWRIcOHZCVlYW///4bgwcPxsuXL3O1T01NxahRo7B582aIRCJ06tQJIpEIW7duxdChQ5GSkvLez4udHiIiIiIiQkxMDObPnw8TExPs3bsXmzZtwpYtW7Bz504YGxtj8eLFiImJKfAcUqkU8+fPh1wux+rVq7Fr1y6sXbsWJ0+eROfOnfHkyROsWbMm1zErV65EaGgohgwZAl9fX6xatQrHjx+Hp6cnwsLCsHLlyvd+buz0EBERERGpkaCGH3XYsWMHsrOzMW7cONStW1e5vWHDhpg0aRKysrIKzfaEhoYiLi4Ozs7O6NGjh3K7np4epk6dCgAIDAxUbk9OTsbu3bthbGyMuXPnQixWdE+0tbUxf/58VKpUCXv27EF6evp7PTd2eoiIiIiI1Eiuhh91OHfuHACgW7duefblbDt79myB58jptMTHx0Mqlebal5CQAAC55vQEBgYiMzMTrVq1yjN3x8jICK1bt0ZmZmaujtK7YKeHiIiIiKiCEwQBYWFhEIvFqF27dp79NWvWhFgsRlhYGAQh/1xTnTp1UK1aNcTExOCrr75CREQEMjIycOnSJSxYsABisRjjx49Xtg8LCwMAODo6qjxfTiyhoaHv8/RYvY2IiIiISJ3kaqg74OPjg3379hW5/YABAzBw4MB89yclJSE7OxsWFhbQ1dXNs19bWxvm5uaIj49HWlpavhXVdHR0sGrVKkybNg1HjhzBkSNHlPuqVKmCzZs3o23btsptsbGxAIDKlSurPF/O9vj4+MKfZAHY6SEiIiIiKmOioqJw5cqVIrdv2bJlgfszMjIAAAYGBvm20dfXB4ACOz0AYGdnh379+mHr1q1wcXGBpaUlbt++jRcvXmDz5s1wcXGBmZkZACjn6uT3uDmP+b5zetjpISIiIiJSIzlKPtVjY2NTaEfm7fYFyZmLUxQFDW9LSEjAiBEjEBMTg61bt8LNzQ0AkJ2djYULF2L37t2YNm0atm/fDgDQ0tICAIgKKcMtl7/fTCZ2eoiIiIiI1Egd1dYGDhxY4HC14jI0NAQAZGVl5dsmMzMzV1tVtmzZgocPH+LLL79UdngAQFdXF/Pnz0dQUBACAwMRFBSE5s2bKzM8Oed+l8csChYyICIiIiKq4IyNjWFoaIiEhIQ8VdcAxfo7CQkJ0NPTg6mpab7nyRly9+a8nRw6Ojpo06YNACAkJASAYp4PAMTFxak8X2FzfoqKmR76IGhVzX9cKH1YzKx5r6SsSBg6vvBG9EEw996q6RCoiPpUb6/pEKgY8n511wx1FDIoaSKRCHXq1MGtW7fw+PFj1KlTJ9f+R48eQS6X51q/R5Xk5GQAr4etvS1nu0QiAfC6altOFbe3hYeHAwCcnJyK+ExU47cXIiIiIiJC+/aKTv3Jkyfz7MvZ1rFjxwLPkVNi+syZM3n2yWQy/PfffwAAZ2dnAECLFi2gr6+PS5cu5SlWkJaWhkuXLsHQ0BDNmjUr5rPJjZ0eIiIiIiI1KiuLkw4cOBB6enrYtGkTbt++rdweHByMzZs3Q19fHyNGjFBuj4iIQHh4OFJSUpTbhg4dCgBYv349rl69qtwulUqxbNky3L9/H46OjmjVqhUAxVyd/v37IykpCQsWLFAOrZNKpVi4cCGSk5MxdOjQAqvFFYVIKKj8AlEpSZ3jqekQqKhEvFdSVqRfe6npEKiIOLyt7DDg8LYyRZodpekQAAB/2Ywq8XOOi9pe4ucEgB07dmDhwoXQ0dFRFiK4fPkypFIpfvnlF3h6vv7O1qVLF0RFRWHp0qW5iir89ttv2LhxI0QiERo3bgwLCwvcvXsXz549g5WVFf7+++9cw+cSExMxbNgwPHr0CLa2tqhfvz5CQkLw9OlTuLi4YNu2bTAyMnqv58VvL0REREREaiSo4UddRo4cifXr16NRo0a4du0abt++jaZNm2Lr1q25OjwFmT17NtavX482bdogPDwcZ8+ehUgkwqhRo7Bv374884XMzMzg5eWF0aNHQyqVwt/fH2KxGBMnTsTff//93h0egJke+kAw01OGMNNTZjDTU3Yw01N2MNNTtnwomZ4tNUo+0zMhUj2ZnvKK316IiIiIiKhcY8lqIiIiIiI1UlfhASo6ZnqIiIiIiKhcY6aHiIiIiEiNmOnRPHZ6iIiIiIjUSBBpOgLi8DYiIiIiIirXmOkhIiIiIlIjDm/TPGZ6iIiIiIioXGOmh4iIiIhIjZjp0Tx2eoiIiIiI1EjQdADE4W1ERERERFS+MdNDRERERKRGcpas1jhmeoiIiIiIqFxjpoeIiIiISI1YyEDzmOkhIiIiIqJyjZkeIiIiIiI1YqZH89jpISIiIiJSI5as1jwObyMiIiIionKNmR4iIiIiIjViyWrNY6aHiIiIiIjKNWZ6iIiIiIjUiIUMNI+dHiIiIiIiNWIhA83j8DYiIiIiIirXmOkhIiIiIlIjOXM9GsdMDxERERERlWvM9BARERERqRELGWgeOz1ERERERGrEwW2ax04PUVEYGEG3+zBou7aCyMQcQloyZPeuIfukN4SE2GKfTmxtB52ug6Hl4AqRviHkL2MgC76E7LMHgYxUNTyBCsTACLrdh0K7gdvraxV6Hdl+uyAkvsO1qmoHna4fQatOA4j0cq7Vf8g+d4jXqohExsYwGjMOeu3aQ2xhCXlSIrIDryDtn78hfxFT7POJrSrDaNRo6LZ0g9jCEkJ6GiR37iDdayckd27nams0ZhyMxo4v0nkzjh9FyrKfix0P5U8ul2Pk5Fl4GhWN877emg6nXDEzq4Tvv5uF/p69UK1aFcTGxuP4iQAsWrwCERFRxT6fSCTChI9HYOyYIahfvy50dXVw914YtmzZiQ0b/8n3uKZNXDFnzlS0b+cGS0tzxMTEwffoKfy06H94/vzF+zxFohIlEgSBnU/SuNQ5npoOIX8GRjCc9gvEVW0hZKZDHvsMYsuqEBmaQEhPRca6byCPflLk02m5uEF/1ByIdHQhZGdCHhMJkZkVxCZmkCe8QMbGHyHEFv8Dq9SIPuCpgAZGMPzsZ4ir1lB9rdZ/V8xr1RL6I2fnf602LYAQ+0yNT+j9pF97qekQIDI2hvmqtdC2t4c8LQ2yyKfQqlYdYlNTyFNSkDBrBmQPHxb5fFr2NWH+v98hNjODkJUFaeRTaFlZQVzJDIJMipT//YbMY77K9vq9+kC/V+/849PXh45jXQBA6tYtSN+e/5c7dTL33qqRx1W3lev/wuZt3jCrZFpuOj0G1dtrOgSYmVXCubMHUM/ZEcnJKbj/4CFq17KDhYU5EhIS0aXbRwgOvlvk8+np6cFnzxb07NkZMpkM90LDYGxkBHv7GgAA710HMHLU1DzHjR83DOvW/gJtbW1ER8cgNi4ezk51oKuri+joGHTo1B+PHkWU2PN+F9LsD+Pz9Ef7kSV/zic7Svyc5RkzPUSF0B88DeKqtpDeDULm9uVAVgagrQO9QVOg06Ir9Ed9ifTlMwCh8BG7Iosq0B8xEyIdXUiD/0Om9yogMw0QiaHbYxh0uw+FwcQfkP7rNEAqKYVnV77ofzQV4qo1FNdqx29AVqbiWg2crLhWI2cj/bcvinatzKtAf/gXimt1+z9keq8GMtMV16r7UOh2HwKDCd8rrj2vVb5MZn8JbXt7ZP13CcmLFkDIyAB0dGHyxSwY9OqNSt/Nx8uJ4wF50Ua8m379DcRmZsi+fg1JP/0IISkJEIthNHY8jEaNgcnnM5F94xrkz58DADKP+ebqBKmKT8exLrJvXEf6zu0l8pwJEAQBa//cgc3bykdH50OzYf2vqOfsCF/fUxgxagpSU9Ogp6eHNX8sxbixQ7Fj+1o0btIV8iK+rpYu+QY9e3ZGREQUPAeMVXaY3Pt0w47tazF0iCeO+J7Ezp0+ymOaNnHF+nXLIBKJMGv2fKz+YwsEQUC1alWxy2sjWrdujvVrl6Fn72Fq+RsQFdcHfMu2fGFCrWwSVbaBVoNWEDIzkLlzhaLDAwBSCbJ2/QF5zFOIq9pCy7VVkc6n08ETIj0DyJ5HIHP7r4oODwAIcmQf3wlpWDDEltbQaddXTc+o/Mp1rf79XdHhARTXavfa19eqgVuRzqfTweONa/WbosMDKK7ViX/fuFbuanpGZZ+WrR302nWAPD0dyT8vVnR4AECSjZTflkH65DG07WtCr13R7pxr2dtDp64TBLkcyUsXKTo8ACCXI23rFkju3YVIVxf6XboV6Xy6bdrCoE9fyFNTkPzz4iJ3vKhgcfEv8fm8n7DuT96FVgcnJwcM6N8bKSmpGDt+BlJTFZ8jWVlZ+GTyHITcvY/69eqif//8M5xvqlXLDlOnjINEIkFfj1G5MkRHfE9ixcoNAIDxY3N3Xpb98gO0tLTw6/I1WLV6s/J7TnR0DMaMmw65XI6uXdvDzs6mJJ52mScXlfwPFU+pdHoSEhKwcuVKDBgwAM2bN4erqys6deqEL774AgEBASX+eP7+/nBycoKTkxN8ffO/w1caZDIZduzYgaVLl5boeRMSEtCgQQM4OTlh/vz5JXpuek2nWSeIxGJIQ67knb8hyCEJPKVo16hdkc6nXbcJAEBy4Qggk+bZL7mo+Peq3bTje0RdMek07ai4VncD87lWpxXtinytGgN4dU1UXqujinZNOrx70OWcfrfuEInFyL50EUJKSu6dcjkyjyn+hnqduhTpfGKrygAAITkZ8vj4PPulD+4DALSqVCn8ZLq6MJnxBQAgbctmyGOLP9+L8rpw+Srch03E6XOXYGVpji8+Ldp8Kiq6kSMGQSwW4/ARPyQkJObaJ5fL8fffiuzakMEeRTrfsKH9oa2tjR07fRAScj/P/r/+9sZ33/+MrX97KbfZ2FRDhw6tkJycgqU/r85zzKNHEZg950d8/sV3kEjyvn9WRHIIJf5DxaP2Ts/t27fRs2dPrFu3DklJSWjcuDE6duwICwsLHDt2DJMnT8acOXOKnIItCh8fH+jo6EAsFsPLy6vwA9TI19cXCxcuRHJycome9/Dhw5BIJNDT08OhQ4eQlpZWoucnBbGdYqy//Mk9lftlT0IV7WrVL9L5ROZWivNFqZ7DkDM/RGxtB+joFivWik5s5wgAkD/O51pFvLpWtesV6XzKaxWZz7WKi1acj9cqXzr1FK+Lt4sL5JDcDVG0c3Ut0vlyOiZiMzOIrazy7NeqWQsAIHtR+ORpw4+GQKtyFUgfhiPj0IEiPT4V7uHjCKRnZKJfr67Yv209Gro4azqkcqdlC8XNs0uXglTuv3z5GgCgXduWRTpfl86KG0EHDx1Xuf/Jk0j8/MvqXEPbOnduC7FYDP+AC8pM09tW/7EFa9ZuRXR08YuVEKmDWuf0SKVSfP7550hOTsaiRYswaJDi7kSOe/fuYfLkyTh06BAaNGiAcePGvfdjvnz5Ev7+/mjYsCEEQcDly5fx6NEj1KpV673P/S5KsjP3ppyO3YgRI7B161YcOXIEQ4YMUctjVWRiq2oAAPlL1W/aQoLiy5XY1BzQ1QeyM4t44nzuN2gpXpIisRZElawgxH24k+Q/NK+vleovvDlV9sQmxbxWWloFbue1yp9WdcWwFtnzaJX7ZTGKeTdaFpYQ6RtAyMwo8HyyiCfIvh0M3QauMP1qHpIWLYSQrBjiZjhsOHRdG0Keno7ME6q/vOUQmZjAcOhwAEDqlk0Ahx+XmAb1nbD7z9Vwruug6VDKLQeHmgCAx4+fqtz/JCISAGBtXQVGRoZIS0sv8HwuLk4AgHv3wmBqaoJxY4eifXs3GBsZIeTuA2zesh137z7IdUwD5TGK7b17dcHAge6ws7VBbFw89u0/ir17D7/zcyyP+C6jeWrN9Fy9ehWRkZFo06YNBg8enKvDAwDOzs7KoVm7du0qkcc8dOgQJBIJ2rRpg969e5fouT8U9+7dQ0hICJo0aYL+/fsDgMYzWuWVyMgUACCkpajcL6Sn5mlbEOHVF3JxtZoq94ur2r4+n6FxUcMkvHGt0otyrUwKPZ/yWlnbq9yf61oZGBU5zopEZFYJACDPJ9MtJL++VqJKlYp0zqT53yH7ahB0mzWH1b+7YL5hMyx3+8B40qeQPnmMxLlzII8reKiagXs/iI2NIX34ENn/XSris6GiaOJanx0eNatc2RIAEB+foHL/y5eJyv+2srIo8Fx6enqoUkWRNbWtUR23bvjjf78twID+fdC9e0d8PmMirgX5YcLHI3IdZ2uruKGRnJyKPbs349DBbRg/bhi6dm2PYUP7w/vfDTh04B8YGOi/69MkKnFq7fTEvxpzLRLlP9uqTZs26Nu3L9q2bVsij7lv3z4AQM+ePeHu7g4tLS34+PggOzs732Pu37+Pzz//HO3atUOjRo0wfPhwnD9/HmvXroWTkxMuX76cq314eDi+++47dO/eHY0aNUKjRo3Qq1cvLFu2LNcwttGjR+Orr75SxuXk5ITVq1+PfU1MTMTKlSvRv39/NG3aFA0aNECHDh3w5Zdf4mEBJVx9fBQp5l69esHZ2Rl169bFnTt3cPt27iEkYWFhcHJyQteuXVWeJzExEQ0aNICbmxskktfVp65evYpJkyahVatWaNKkCSZMmIDbt2/j22+/hZOTEyIjI/ONrdzJGbYkyeffz5vbizDESRoSCADQ7dhfmdVREomg07H/69/f3k8FK9a10iv0dNK7iqEjuh0987lWb5RZ1+a1UkWk++rvnJWlcr+Q/Xq7SK/wawIAkEggCbkDITNTUW66jiO0LBRfAuVxcflf/xxiMQw8FNcufTdvFlHZk9ORyMhUna3OyMjM0zY/Jiavb9hs37YGGRmZcO87EkYmtWFfqzlWrtwIHR0drF3zMzp3ev09zcRYcVPui88/gXufbvjm2yWoZtMQJpUcMHT4ZMTGxqN3765YvWrJOz/P8kauhh8qHrV2epycFOnP8+fPY/369UhNzbuQn76+Pn777Td8++237/14d+/exd27d1G/fn04OjrC0tIS7du3R2JiIo4fVz3cISgoCEOHDsWxY8dQpUoVdOzYEZGRkZg0aRJOnz6dp/2VK1cwcOBA7N69G5UqVULHjh3RsGFDREZGYsuWLRg/frxySFubNm3QpIli7K2trS369eun/JvExcVh0KBBWLduHdLT09GmTRu4ubkhKysLBw8exJAhQxAdnXdIiEQiwaFDh6Cjo6PMZOVke7y9c5cGrVOnDlxcXBAZGYlbt27lOdeJEycgkUjQp08f6OjoAACOHj2KMWPG4Ny5c3BwcEDbtm1x+/ZtjBgxAsHBwUW5DOVLYcMT3+zQF2GIjOTsQQhpyRBbVYP+pPkQV68FiLUgqmwD/TFfQ1y52usvgiomz1MBSvxaHXp9rSb+8Ma1qg79MV9BbPXmtZK9R+DlWAlfE5GRMcx++x1Go8ciO/gWXn4yAS96dkXcyKFI99kD3WbNYbZiFbTru+R7Dt3WbaBV1RqyuDhknjpZ1GdC9MGQFfJ+8+aomsIqx+rrv+4UGRkZorf7cBw/EYCsrCxERUVjzlcLsGPnXmhpaWHRT1+/cZziJkXlypb4Yf4yLPt1DWJj45GRkYm9ew9j1OjPAABjRg+Gs3OdYj9HInVQa6fHwcEBAwcOBACsWLECrVu3xscff4x169YhKCgoV3ahJOzduxcAlI8JAIMGDQKQt0MAANnZ2Zg3bx7S09Px008/wcfHB6tWrcLJkyfRvXt3lV/yFy5ciMzMTKxZswZ79uzBqlWrsG3bNvj6+qJSpUq4ffs2rl+/DgCYMmUKhg9XjBtv3rw5li9fjh49egAA1qxZg8jISIwbNw7Hjx/HH3/8gS1btuDUqVNo2rQpUlJSsH///jyPHxAQgJcvX6Jz586wsFCkrT09PaGtrY3Dhw/n6Vh6eCiqtxw9ejTPuY4cOZKrTUJCAn744QeIRCJs2LABO3bswB9//AE/Pz+4uLggNDQ0vz99+ZXzpTa/LI62zuv/lhZyhxmAkJKAjD8XQ0hLhnadhjCctRLGy3xgNHcttBwbKdYBkigeU8gqeH4DvSXnWr15Td705vbCsgF4da22LoGQlgLtOq4wnPk/GP+yB0ZfrYFWnUbI3PG/19cqs+Ax8xWVkHMnWlf160f0xutKyCcb9CbDYcOh4+gI6cNwJH37NaThYYBUCvnz50hdsxpp3v9CbGCorMqmin4HRWXErDP+7KxSmZQzR0c/n+yont7r19WbWR9VMjJef85s37FX5Tyhn39RjFBxc2uqHFqXc96UlFSs/H1TnmNOnT6HwMDrEIvFcO9TtBLy5R2rt2me2qu3/fTTT5g+fToMDAyQnZ2NCxcuYOXKlRg5ciTc3Nzw1VdfISLi/VfrlUgkOHz4MHR0dNC37+s1TnI6B4GBgQgPD891zJkzZxAREYGuXbvmKgKgp6eHJUuWwNQ09xyN1NRUNGjQAEOGDEG3brlfxHZ2dmjVSrFWi6oMzdvMzc3Rvn17TJ8+PdfwP2NjY2X8qs6jqmNnZWWFjh07Ij09HYcOHcrVvm/fvtDS0sLRo0dz3fGJjY3FlStXYG9vr8xGHThwAMnJyRg+fDg6dnxdMtnU1BTLly+HVn4TusuxnPkh+c2veXNuiJCaVKRzyp/cQ9qyz5B1fCekd4MgvRuE7JO7kL58GmT3rgH6iuEGQvLL94y+Ynl9rVTP13lzu5BW1GsVirRfpyHrxL+Q3r0K6d2ryD65G+m/zch9rVJUj62v6OSvigyI33ovzSF6Y7s8KbHQ8+m1V5QHT/f2UtlhSd+5HYJMCh3HusoiCrmIxdBtqVinKTPAv9DHI/oQ5czlsbAwU7nf0tJc+d+xsXlLu78pOTlVOTolODhEZZv79x8qb1LXtFfMZUx8tUbWvdCwfG9g33lV/rpmTbsCY6goBDX8UPGovdOjra2NadOm4fz581i+fDkGDBgAGxvFh1FaWhoOHDiAvn374tSpU+/1OP7+/khISECXLl1gbv76Ba+jo6PMZLyd7bl48SIAoHv37nnOZ2xsjPbt2+fZ9vPPP+Onn35SbhMEAVFRUfDz88PTp4o7JEXJYM2YMQObN2+GsfHrL9MvX77EpUuXEBQUpPI8cXFxOHfuHCpXrpwntvwyWlZWVmjTpg2io6OVGShAkfmRy+Xo16+fcltBfw8bGxu4FrGsbHkif6GYvyQyV73uh8hcsW6IPOllkbIHSmnJkPh5I3PLT8jc8hOyj+2AkBgHsbU9RFpakCfFAxksQ14c8hdRAACRRWWV+9/vWu1C5p+LkPnnImQf3/nqWtnxWhVC9lRxQ0urqrXK/VpVqyraxcXlO+9HVXvpU9U3yoTUVMgTX3W0XrV9k45LA4hNK0H24gWkIXcKfwJEH6DQUMUNXHt7W5X77e1qAACePXteaKZHIpHg0aOCbzwLgqC8aSqRKr6X3L+f/7zjHDmdqZIe1UP0rkpt9q2xsTH69eun/JIdGRmJgIAAbN26FZGRkZgzZw5OnTqlHLJVXDmT++/evYvRo0fn2peQoLgrcuDAAcyePRt6r1LCOZmUatWqqTxnTufsbYGBgdi1axdCQkIQERGhLJKQk7EpbAxtjoiICGzfvh3Xrl3Do0ePlEPT8jvPwYMHIZVKIZFIMH587gXfpFLF/I+7d+/i1q1baNiwoXKfp6cnzp07B19fXzRt2hRA3qFtQNH+Hjdu3CjScysv5JFhQP0W0LJ3gvTSsTz7tewUc7TkEXkXdFNFXKs+tOwcIXt0V+UxWvWbAwBk4arXNaH8Ka5Vc2jZOUF6Ke8cPi37V2suPS3qtaoHLdtX1+rpgzz7ea0KJw0NhV6rNtCuXx9QsRaOzqu5N9J7d/PsU0VIS4dIVw/i/D4ndHQhNjNTtE3PO+Qw5/Ekt24U6fGIPkRXr92Eu3s3uLk1xYaN/+TZ7+am+Jy/Eng9zz5VAoNuwMGhJpo1a6Ryv719Dejq6kImk+HxY8WNwMBX565fry709fWRqaKogmMdxVIhhXWqKgoWHtA8tWZ6Hjx4gIsXL6qcdFejRg2MGjUK+/fvR82aNZGenq6ycEBRxMbG4ty5cwAUHYkrV67k+nnwQPGFJTExMdfclpy7D/l1UlRtnz9/PkaNGoUjR45AX18f/fr1w9dffw1vb28MGDCgyDEfOnQIvXr1wt9//42UlBR06NAB06dPx8aNG7FgwQKVx+R07BITE/M8x2vXrinbvV2+ulu3bjA0NMTx48chl8sRFRWFGzduoHHjxrC3f12O913+HuWdNFhRzlbbxQ0weGuIm0gMnRaKyniSawFFOp+WXV3o9fsYOu1VrJStZwCd1r0U57uYdw4WFUx6+z8AgLZLS9XXqnkXAIDk2pkinU9xrcZDp0O/vDv1DKDTqqfifCo6WKSQef4sAECvTTuITN4adigWQ7+n4t975skTRTpf9s0bAACD3n1U7tfv3l2RfUtNUcz3eYt2HcUCtpIHeTuxRGXFvv2KzwdPj54wNzfLtU8sFmPMGMVw/R1vLCZakF27DwIABg10R/XqebOyUz8dBwA4e/Y/JL7KpJ46fR6xsfEwMjLEpIkj8xzTsGF9tG3bEnK5HAcO5r1hSKQJau30TJs2DePHjy9wAryJiYlycn9SUtHG2b/twIEDkEql+OijjxAaGqryZ968eQByD/+ytla8uJ89U72o4Ntzaq5cuQIvLy/UqFEDvr6+2Lt3L5YsWYLx48ejcePGKqvTqZKWlob58+dDLBZj48aNOH78OFasWIFp06ahY8eOKstr37p1Cw8ePIC9vX2+zzGnXLevry9SUl6vf2FgYIAePXrgxYsXuHbtGnx9fQHkzvK8y9+jIpBHP4E0JBAiAyPoj50L5MwL0daB3pBpEFe1hfxFJGSvvnArGZpAVNkGIsvcHyDS2/9BkEqg3agttBu/HqIoMjGD/vhvIDa1gPRuEOSPi3bnm15TXKsgxbUa81XuazV46hvXKncJ+vyv1WXFtWrYFtqN2ym3i0zMoD9uHq9VEcgePkTWfxchNjZGpfkLX8/h0dGFyeyvoG1fE9KIJ8g6fy7XcSLTStCytYNWteq5tqd77YQglUKvbXsYffIp8EblKb0OHWE8eaqi3b87AWne6ofaDor1Y2SPH5Xk0yQqVcHBd3HkyElUqmSKXV4bYWGhGNKvp6eHjRuWo369urgXGob9+3PfPLO0NIeTkwNq18699tihQydw6VIQTEyMcWD/37n2Dx7sgalTxwEAlv68SrldJpNh/o+/AgCWLJ6HYcP6K/fZ2dlg65+/QywWY8dOH0RERJXk0y+zWMhA89Q6vK1JkyZ4/PgxduzYgcWLF+fb7tEjxQdQnTrvVtYw58u+u7t7vm369u2LZcuW4dq1a3jw4AEcHR3h5uaGPXv2ICAgQDknJkdWVpZyjkuOmzdvAgD69OmDmjVr5tqXkZGhzLbI3yjTqmqNovDwcKSlpaFx48a5CgbkuHDhQp7z5DzHnDLVquSU6n7w4AEOHjyIkSNf333x9PTE/v374e/vjytXruQqeZ3Dzc0Nly5dQkBAgLIoQ464uLg86wBVFFl710FsbQftOg1h9N1myGMiIbasCpGhCYSMVGT8tTRPuV3ddu7Q7TEc8pcxSF/yiXK7EP8c2Ye2Qm/AJ9AfNQfyPqMhZKRBXNUWIm0dyJ6GKSq40TvJ8lkPsfUSaNdxhdG3G9+6VmnI+PuXvNeqbR/o9hgG+csXSF86WbldiH+O7MN/Qa//JOiPnA1571F5r9WO/5X2UyxzUlb8D9q/14Juk6aw2rkL0ogn0KpWHWJTU8hTU5A0//s818Sw/wAYjR0P2fNoxI8cptwufXAfKf/7FSazvoTR0OEw6OcJWeRTaFWuAvGruZwZx48i3WunyljEOev5pKhewJaorJg67WuccdmHzp3b4lH4Fdy99wC1a9nBwsIciYlJ+GjwhDyjMz6bOh4/fD8bjx8/RZ26rz/jBUHA0OGTceK4N5o0boCQ22cRcvc+jI2MlB2gH+Yvw2n/87nOt3HTNtSr54jp0yZg+z9rsHTxt4iNi4drA2fo6OggMPA6Zs76Qf1/jDKCXRTNU2umZ+LEidDT08OePXuwePHiXNkHQDGcauPGjTh58iQcHR3zTM4vilu3biEsLAxWVlZwc3PLt52VlZVyAdScbE+PHj1gbW2NEydO5CoPLZVKsWDBArx8qaieldNxyZnrcuHCBWS9Mek2JSUFc+bMQVxcHADk2pczf+jN556TUbl//76y+AGguHOybt06+Pv75zpPdna2cg5OQR07QNG5AfIOcWvVqhWqVKmCQ4cOITg4GO3atcszf2rQoEEwNDTEjh07cnX40tPTMW/ePOXwt4IWmy2PhKR4pK+cjexzhyCkJkFczR6CXAbJtTNI/30OhBfFW6xVcuEIMv5aCln4bYgMTRUZiLhnyPLdhow18wCWqn5nQlI80n+fg+xzhyGkJr+6VnJIrp9F+qov3+Fa+SLj758hC7/zxrWKRtbR7chY+y2vVRHI42LxcsonSPfZA3lSIrRrOwAyGTJPnUTC1MmQRTwp1vkyjx9DwpRPkOl3AkJaKrRr1Qa0tJB9NQhJC35AyrKfVR8oFkNk9KraXhoLT1DZFhUVjZatemPV6s2IjY1HQ9d6kEpl+NdrH1q1cce9e3mHdxbk2bPnaNGyJ+b/+CvuhYahjkMtmJgY4/hxf/RxH4ElS39XedzMWT/As/9YnDgRACMjAzjVdcC90DDM+2YxOnf9SDkcjuhDIBLUPFEjICAAc+bMQUpKCnR1ddGoUSNYWVkhNTUVwcHBSExMhK2tLbZu3QpbW9WVSAoyf/58eHl5YeTIkfjhh4LvKBw+fBizZ8+Gqakpzp07B319fVy6dAmTJk2CRCKBq6srbGxsEBwcjJiYGFSpUgXPnj3Dv//+i6ZNmyItLQ39+/dHREQEqlSpgkaNGikzPOnp6ahTpw7CwsIwdepUfP755wCAe/fuwdPTE2KxGB07dkTnzp0xdOhQzJw5E76+vjAwMEDLli2hra2NW7duITY2Vnme5s2bY8eOHfD19cXMmTPh6OiIw4cPF/gcY2Ji0KlTJ8jlcnh5eSnLUQPAL7/8gj///BOAYt2kPn3yjovfv38/vv5asQBZ8+bNYWFhgatXryI9PR0GBgaIj4/H2bNnUVVFZaT3kTrHs/BG9GEQqb3oI5WQ9Gsse15WmHtv1XQIVEQG1Yt/g5Y0R5r9YQyv+7zmsMIbFdPvj70Kb0RKav/20qlTJxw/fhzTpk2Di4sLHj58iJMnTyI4OBi1atXC3Llzcfjw4Xfq8GRlZSnnp6j6Av+2bt26wdjYGMnJycrjWrduDS8vL3Tu3BlPnjyBv78/rK2tsXXrVri4KCr9mLyagGtkZIRt27ZhwIAB0NbWRkBAAO7cuYOmTZti06ZN+PVXxfjWnEwNADg7O2P27NmwtLTEhQsXlEPglixZgmnTpsHa2hqXLl3Cf//9B2tra/zwww/Yt28fKlWqhBs3buDly5fKtXmK8hyrVq2qHJr2dvnqnCyQsbExunbtqvL4/v37Y8uWLWjZsiXu3LmDc+fOoV69evj333+VHR2TtyckExERERF9wNSe6fmQxcXFISkpCTY2NtB/Y0JsDg8PDzx48ABXr16FoaGhBiIsXc+ePUN2djaqV68O3bdWUJdKpWjbti20tbWVc45KEjM9ZQgzPWUGMz1lBzM9ZQczPWXLh5LpmVFzaImfc9Vj78IbvaOLFy9i/fr1CA0NhUQigYuLCyZNmoQOHToUeuzo0aNx5cqVQttNmzYN06dPV/7erVu3XNM+3nbnzh1oa797OYJSW6fnQxQSEoJJkyahefPm2Lp1a64v+rt370ZoaCjat29fITo8AHDmzBn8+OOPcHd3x2+//ZZrvaA//vgDiYmJGDas5NOzREREROVZWVqnx8fHB/PmzYOuri5atWoFuVyOy5cvY9KkSVi4cCGGDi24A9emTZt8p0GkpaUpl6ipV6+ecntKSgoiIyNhZWWF1q1bqzxWLH6/m64fVKdn3bp1CA8PL9Yx33zzzTsvaNq6dWu4uLggKCgIHTt2RKNGjaCjo4Pw8HCEh4ejcuXKmD9//juduyzq06cPNm7ciCNHjuD69evKf4z37t1DVFQUHBwcMGvWLA1HSURERETqEBMTg/nz58PExAQ7d+5E3bqKhb1v3bqF8ePHY/HixejUqVOBc7unTJmS7745c+YAACZNmoRu3bopt9+9exeCIKBz585YtGhRCT2b3D6oTs/FixeLlA570xdffPHOnR4dHR38888/+Pfff+Hr64tr164hKysL1tbW+PjjjzFp0qR3PndZVKlSJezZswfbtm3DyZMn8d9//0EQBNSoUQPTp0/Hxx9/XGGyXkREREQlpaysq7Njxw5kZ2dj8uTJyg4PADRs2BCTJk3CihUr4O3tjRkzZhT73AcPHsShQ4fg4uKCL774Ite+kJAQAFDOp1eHD6rTs23btlJ/TGNjY0yaNAmTJk0q9cf+EFlaWuKLL77I84+RiIiIiMq3c+cUi0W/mYXJ0a1bN6xYsQJnz54tdqcnNTUVy5Ytg1gsxqJFi/LMzbl7V7HQtzo7PZyRTERERESkRoIafko8RkFAWFgYxGIxateunWd/zZo1IRaLERYWlmfx28Js2LABsbGxGDx4MOrXr59nf0hICLS0tPDo0SOMHDkSzZs3R4sWLfDpp5/i1q1b7/yc3vRBZXqIiIiIiKhwPj4+2LdvX5HbDxgwAAMHDsx3f1JSErKzs2FhYZGnii8AaGtrw9zcHPHx8UhLS4OxsXGRHjcxMRHbtm2Djo6Oyvk+2dnZePjwIWQyGb766iu4urrCzc0NDx48gL+/P86fP4/ly5ejV69eRX6uqrDTQ0RERESkRuqY0xMVFVWsufAtW7YscH9GRgYAwMDAIN82OUu8FKfT4+3tjYyMDHz00UeoVq1anv2hoaGQSqUwMjLCmjVrclVv++uvv7B06VLMmzcPzZo1Q+XKlYv0mKqw00NEREREpEbqKFltY2NTaEfm7fYFKU5J6KIOb5PL5di5cycAYOLEiSrbuLq64vz588jOzs4T47hx4xAYGIiTJ09i3759+OSTT4oc49vY6SEiIiIiKmMGDhxY4HC14sqp0JuVlZVvm8zMzFxtC3Pt2jU8f/4cTZo0Qa1atfJtV1AGp3Pnzjh58iRu375dpMfMDzs9RERERERqJJSBktXGxsYwNDREQkICpFJpngprUqkUCQkJ0NPTg6mpaZHOeerUKQCAu7v7O8eV0yHK6XC9K1ZvIyIiIiKq4EQiEerUqQOZTIbHjx/n2f/o0SPI5fJc6/cU5uzZswCAHj165NvG19cXs2fPxqFDh1Tuj4yMBABYW1sX+XFVYaeHiIiIiEiN5Gr4UYf27dsDAE6ePJlnX862jh07FulcqampCA8Ph42NDapWrZpvu/j4eBw+fBj//vtvnn2CIODgwYMAgHbt2hXpcfPDTg8RERERkRoJavifOgwcOBB6enrYtGlTrjk0wcHB2Lx5M/T19TFixAjl9oiICISHhyMlJSXPue7cuQNBENCgQYMCH9Pd3R3Gxsa4evUq/vrrL+V2QRCwZs0a3LhxA3Xr1kWXLl3e67lxTg8REREREaFGjRqYO3cuFi5ciGHDhsHNzQ0AcPnyZUilUvzyyy+wtLRUth83bhyioqKwdOnSPEUVcoalWVlZFfiYFhYWWLJkCWbPno2lS5diz549qF27NkJDQ/H48WNUrlwZq1evzjPHqLjY6SEiIiIiUiN1DUdTh5EjR6J69erYvHkzrl27Bl1dXTRt2hRTpkzJtYZOYV6+fAkAMDExKbRtz549YWNjgw0bNiAwMBCPHz9GlSpVMHr0aEydOhUWFhbv/HxyiISiFtomUqPUOZ6aDoGKSsRRsWVF+rWXmg6Bisjce6umQ6AiMqjeXtMhUDFIs6M0HQIAYGzNQSV+zr8f7y3xc5ZnzPQQEREREamRnDkGjWOnh4iIiIhIjdjl0TyOUyEiIiIionKNmR4iIiIiIjWSM9ejccz0EBERERFRucZMDxERERGRGqlrMVEqOmZ6iIiIiIioXGOmh4iIiIhIjcrS4qTlFTs9RERERERqxEIGmsfhbUREREREVK4x00NEREREpEYsZKB5zPQQEREREVG5xkwPEREREZEasZCB5rHTQ0RERESkRoLA4W2axuFtRERERERUrjHTQ0RERESkRixZrXnM9BARERERUbnGTA99EIbvkmk6BCqio8+DNB0CFZGveXtNh0BF1Kc6r1VZkfHsnKZDoDKIhQw0j50eIiIiIiI14jo9msfhbUREREREVK4x00NEREREpEYsZKB5zPQQEREREVG5xkwPEREREZEacXFSzWOmh4iIiIiIyjVmeoiIiIiI1IglqzWPnR4iIiIiIjViyWrN4/A2IiIiIiIq15jpISIiIiJSI5as1jxmeoiIiIiIqFxjpoeIiIiISI1Yslrz2OkhIiIiIlIjDm/TPA5vIyIiIiKico2ZHiIiIiIiNWLJas1jpoeIiIiIiMo1ZnqIiIiIiNRIzkIGGsdODxERERGRGrHLo3kc3kZEREREROUaMz1ERERERGrEktWax0wPERERERGVa8z0EBERERGpETM9msdMDxERERERlWvM9BARERERqZHAktUax04PEREREZEacXib5nF4GxERERERlWvM9BARERERqZHATI/GMdNDRERERETlGjM9RERERERqxEIGmsdODxERERGRGpW1QgYXL17E+vXrERoaColEAhcXF0yaNAkdOnQo9NjRo0fjypUrhbabNm0apk+frvw9OTkZGzZswMmTJxEdHQ0rKyv06NED06ZNg7Gx8Xs9H4CdHiIiIiIiesXHxwfz5s2Drq4uWrVqBblcjsuXL2PSpElYuHAhhg4dWuDxbdq0QdWqVVXuS0tLw+nTpwEA9erVU25PTU3FqFGjEBoailq1aqFTp064c+cOtm7dinPnzsHLywsmJibv9bzY6SEiIiIiUqOyMrwtJiYG8+fPh4mJCXbu3Im6desCAG7duoXx48dj8eLF6NSpU76dGgCYMmVKvvvmzJkDAJg0aRK6deum3L5y5UqEhoZiyJAhWLBgAcRiMaRSKb755hscOHAAK1euxPfff/9ez42dHqI3GFUywvAvRqB1z9Ywr2KO5JfJuBpwFV6//4vYqNgin2fzhS2oapv/G8Kb5g2Zh9v/BSt/NzQxxEdTB6NN7zaoYlMFaSlpeHDzPg79eQjXz10v9nMqr8zMKuH772ahv2cvVKtWBbGx8Th+IgCLFq9ARERUsc8nEokw4eMRGDtmCOrXrwtdXR3cvReGLVt2YsPGf/I9rmkTV8yZMxXt27nB0tIcMTFx8D16Cj8t+h+eP3/xPk+x3NCuZASHOYNQpXcL6FU1R3Z8MuL8b+Lhb3uRGRlX7PPpVbNA7ZkDYNWlMfSqmkOako7EoPt4vPogEgPvqzxGrK8Du4m9Ye3RCoYO1SDS0kJmZCxeHL+Kx2sOQfIy5X2fZrnA11XFJZfLMXLyLDyNisZ5X29Nh0MasmPHDmRnZ2Py5MnKDg8ANGzYEJMmTcKKFSvg7e2NGTNmFPvcBw8exKFDh+Di4oIvvvhCuT05ORm7d++GsbEx5s6dC7FYUWdNW1sb8+fPR0BAAPbs2YPZs2fD0NDwnZ+bSCgrXU8q1/rZ9dV0CDCqZIRffZbD1tEW6SnpiHoUBWs7a5iYmSA1KRXzBn+Nx/ceF+lcc9d9DYsq5vnur2prDUtrS2RnZmNa988Q/SRaEYOpEZbvX44adWwhyZYg6mEUDI0NUaVGFQCA1+9e2PHb9vd+ru/j6HPNd7zMzCrh3NkDqOfsiOTkFNx/8BC1a9nBwsIcCQmJ6NLtIwQH3y3y+fT09OCzZwt69uwMmUyGe6FhMDYygr19DQCA964DGDlqap7jxo8bhnVrf4G2tjaio2MQGxcPZ6c60NXVRXR0DDp06o9HjyJK7HkXl695e409dg7tSkZoeXghjOvaQJqSjrTwaBjaV4WOuTEkiakIHLAQqSFF/xsZOdVAC58foGtlCllGNtIfRkPP2hy6lqaQS2UImbMJz/4NyB2DmRFa+PwAExd7CHI5MiPjIMuUwLBWVYh1tJERGYegQT8h43FMCT/7ouuTcE5jj52Dr6uiyXim+WulDivX/4XN27xhVsm0XHV6dKxqazoEAEAj6zYlfs6bzy+W+DkHDBiAkJAQHDhwAM7Ozrn2hYWFwd3dHa6urtizZ0+xzpuamopevXohPj4ee/fuRf369ZX7Tp06halTp6Jbt25Ys2ZNnmM///xzHDt2DBs3bkTHjh3f7YmBJauJlKb/MgO2jrYIPBWIcS3HYlbfmRjbYgxO7vKDcSVjfLnmK+Xdh8L8MuVnzB00V+XP4omLIRKLAADrvlun7PAAwIxfP0eNOrYIvR6KT9pPwvQe0zChzcdYNOEnSLIlGPb5MDRs01Atz78s2bD+V9RzdoSv7ynY1WyGVq37wNa+Gf762xvm5mbYsX1tka8VACxd8g169uyMiIgoNG/ZE40ad4GDoxs8+49Famoahg7xxIgRA3Md07SJK9avWwaxWIxZs+fDrmYzNG3WHQ6OrXDpUhCqVauK9WuXlfRTL3NcfvsExnVtEOt3DWcaTcXlnt/iTKMpiPo3ADpmxmi4fgbw6vVQFK6rp0LXyhQvz9/G2Waf4VKXuQhoMBkPV/hArK2F+r9MgIFd5VzH1F82ESYu9ki9H4VLXebiXIsZuNh+Ns67fY6Ey/dgUMMKjTZ+XtJPvczh66piEgQBa7Zsx+Zt5aej8yES1PC/Eo9REBAWFgaxWIzatfN2FmvWrAmxWIywsLBiD9fbsGEDYmNjMXjw4FwdHkDRmQIAR0dHlcfmxBIaGlqsx3wbOz1EAGo41EDrXq2RnpqO/33xGzLSMgAAkiwJVn+1GhEPImDnaIdWvVq/92N99vM0WFSxwEXfCzi5y0+53byKOdx6uEEmk+HXacsQF/162M9lv8s4vvM4AKD70B7vHUNZ5uTkgAH9eyMlJRVjx89AamoaACArKwufTJ6DkLv3Ub9eXfTv37tI56tVyw5Tp4yDRCJBX49Rue5kH/E9iRUrNwAAxo8dluu4Zb/8AC0tLfy6fA1Wrd6s/ACIjo7BmHHTIZfL0bVre9jZ2ZTE0y6TDOtURxX3FpCmZiB42hrI0jIBAPIsCe7M2oDU0EgYO9VA1T4ti3Q+o7o2MG1UG4JcjuCpayCJfzUkTS4g7OddSLoeBrGeDqwHtFUeo1fNAlX7uUGQyRE8dTVS7z5V7suMisfNCSsgTc2AaaPaMG9d7+2HrDD4uqqY4uJf4vN5P2Hdnzs0HQp9AJKSkpCdnQ0zMzPo6urm2a+trQ1zc3NkZGQgLS2tyOdNTEzEtm3boKOjo3K+T2ysYvpA5cqV8+x7c3t8fHyRH1MVjc7pSUhIwN9//40zZ87g6dOnyMrKgqWlJRo3boz+/fujU6dO73X+nOoTqujo6MDMzAzOzs4YOHAg+vTpk2t/ly5dEBUVhTNnzsDa2vq94lCXgQMH4s6dO3BwcICvr6+mwynTOg3oBLFYjMCTV5CalJprn1wux8ldJ/Hxtx+jfb/2uOh74Z0fp2X3lmjTuw3SktOw/of1ufYZmRrBz+sEtLS1EfM07zCbJ/efAACsqlu98+OXByNHDIJYLMbhI35ISEjMtU8ul+Pvv73xy8/fY8hgD/j4HCn0fMOG9oe2tjb++tsbISF554P89bc3srKyEfH09XwGG5tq6NChFZKTU7D059V5jnn0KAKz5/wIuVwOiURa/CdZTlT/qB1EYjFiT1yDNPGtD0i5gGdeAag7fxSqerZGzOHLhZ5Pz9oCACB5mYqsmIQ8+5NvPUKlJnWgb2Op3Gbeph5EYjHSHkYjJfhxnmOyY5OQfPMhLNq6wKRhLSRcKvrwrfKEr6uK58Llq5j13WKkpWfAytIcowb3x8r1WzUdVrklV8NsEh8fH+zbt6/I7QcMGICBAwfmuz8jQ3HD18DAIN82+vr6ABRV2IpaRtrb2xsZGRn46KOPUK1atTz709PTC3zcnMfMafeuNNbpuX37Nj7++GMkJSXBxsYGjRs3hr6+Pp49e4Zjx47h6NGj6NevH5YtW1asdLoqlpaWaNMm91hKqVSK58+f4/z58zh37hyCg4Mxd+7c93qc0hQaGoo7d+5AT08P4eHhCAwMRIsWLTQdVplVt4kTAODu1Xsq94deV6RUXVq4vPNjiMVijP16HADAe7U3El7k/tIWGRaJNfPyjmXNUce1DgAg+nF0vm0qgpYtmgAALl0KUrn/8uVrAIB2bYuWPejSuR0A4OCh4yr3P3kSiZ9/yf0FrHPnthCLxfAPuKC8I/621X9sKdLjl2eVmir+zeZXXCDxqmJIg3krZ5X735YVrbjLp2tlCj1rc2Q9z/0aMnayBaDI4ORIuHgXNyesgCCX53teLUM9AIBYq+IOfuDrquJ5+DgC6RmZ6NerK+bO+AT3wx9rOiQqpqioqCKth5OjZcuCX7/F+b5d1OFtcrkcO3fuBABMnDhRZRstLS0AisInhZ3rfWik0yOVSvH5558jOTkZixYtwqBBg3L9oe/du4fJkyfj0KFDaNCgAcaNG/dej+fg4IDly5er3HfhwgV88skn+PPPP9G3b1+4uCi+1P7111+QSCSwsvow76r7+PgAAMaMGYNNmzbBy8uLnZ73UN1ecech5ulzlftjIxXVgsyrmEPfUB+Z6ZnFfoxuQ7rBztEOcdFxOLT1YJGP0zfUR99xfdFtSDdkZWbhwOb9xX7s8sTBoSYA4PHjpyr3P4mIBABYW1eBkZEh0tIKvjPk4qLo8N67FwZTUxOMGzsU7du7wdjICCF3H2Dzlu24e/dBrmMaKI9RbO/dqwsGDnSHna0NYuPisW//Uezde/idn2N5YVhLkSXPiFBdbSszUjGkQa+KGbQM9SBLzyrwfGkPniHhSijMWzqhweqpuDV5lbLqWs1pHjBv5Qxpagae7TqrPCYr+mWBWST9GlYwqW8PAEi9X/zqZOUFX1cVT4P6Ttj952o413XQdCgVgjrm4NjY2BTakXm7fUFyKqNlZeX/XpyZmZmrbWGuXbuG58+fo0mTJqhVq5bKNjkZnpxzv+9j5kcjnZ6rV68iMjISbdu2xeDBg/Psd3Z2xvz58zFlyhTs2rXrvTs9BWnbti26du2K48ePw8/PT9npsbOzU9tjvi+pVIpDhw7BwMAAn376Kfbu3YsTJ04gISEB5ub5Vwyj/JlaVgIApCSoLlubkvh6u6mF6Tt1evpPGgAAOLjlAKTZhQ/NqNOwDmYs+xzValaDvqE+XkS+wKqvfseT0CfFfuzypHJlxdCl+Pi8w5sA4OXLROV/W1lZFPjlTE9PD1WqKG5s2NaojhPHvFGjxuvUe/fuHTF1ylhMm/4Ntvy5U7nd1lbxwZGcnIo9uzejv2fueQ7DhvbH0aOnMGTYJ8jIKP6/lfJCx9IUACDJ53UlSUjN1VaWXnhZ+Jvjf4Pr2mmw7NgQHa7+gbSH0dCrYga9KmZIDY3EnVkbkBX9ssgxOn4/AmI9HWS9SMTLc7eLfFx5w9dVxdPEtX7hjeiDNnDgwAKHqxWXsbExDA0NkZCQAKlUCm3t3N0EqVSKhIQE6OnpwdTUtEjnPHXqFADA3d093zZVqigq1MbFqV7CoLA5P0WlkVx+zkSkgtJYbdq0Qd++fdG2bdt825SUGjUU5TNfvnz9QdmlSxc4OTnh+fPcd/6TkpLw66+/okePHnB1dUWrVq0wY8YM3LuXd1hUly5d4Obmhrt378LT0xMNGjRA165dc7U9c+YMJkyYgBYtWsDV1RU9e/bE8uXLkZSUlG+8AQEBiI+PR4cOHWBsbAx3d3dkZ2fnGdcpk8nQrl07ODk5ISpK9R3MgQMHwsnJCSEhIcptUVFR+Pbbb9GpUyc0bNgQAwYMwOHDh3HgwAE4OTkps0zlia6+YsJeVma2yv3Zb2zPaVscjds3hq2jLVKTUnFs57EiHWPraIda9WtB31AxltW4kjFadGkBbd2KvbyWgYHi75GRzx2hN78M5bTNj4mJkfK/t29bg4yMTLj3HQkjk9qwr9UcK1duhI6ODtau+RmdO71+LzJ5NY75i88/gXufbvjm2yWoZtMQJpUcMHT4ZMTGxqN3765YvWrJOz/P8kDr1WtFlqH6dSV743Wlpa9TpHPKsyRIvBoGWXoWtAz1YNqgJvSqmAEAsmISIM+SFDk++yl9Ua2/YujzgyVexTq2vOHriki95IJQ4j8lTSQSoU6dOpDJZHj8+HGe/Y8ePYJcLs+1fk9hzp5VZN579Mi/CFNO1bacKm5vCw8PBwA4OTkV+XFV0UinJyfo8+fPY/369UhNTc3TRl9fH7/99hu+/fZbtceT80dWNbnqTc+ePcOgQYOwefNmSKVSdOjQATVr1sSJEycwePBg+Pv75zkmOzsbn3zyCTIzM9GhQwdoa2vDwUGRSl6+fDk++eQTXLp0Cc7OzujcuTMyMjKwadMmDBw4EJGRkSrjyOl0eHp65vp/b+/c5Sa1tLTQt69i/ZujR4/mOc/jx49x584d1KlTR1k+MDw8HEOGDMGePXtgaGiITp06ITU1FbNnz8aOHeW3uotcVvA4UdGbJXXf4X3GfYziDoef1wlkpGYU6ZhrAVcx1GUIRjYegd8+Xw5JtgSeE/vjmw3qf018yGQyWYH73xwqW9iY45zJkQBgZGSI3u7DcfxEALKyshAVFY05Xy3Ajp17oaWlhUU/ff3GcYo5IJUrW+KH+cuw7Nc1iI2NR0ZGJvbuPYxRoz8DAIwZPRjOznWK/RzLC6HQ19Wb16rw82mbGqL5vh/gMGsgEi7fw6Uuc+FXYyTOtZiOJ5uOwrKDK1oc+BGVmqsue/om2wk94fTjKADAs93n8qztU9HwdUWkXmWhZDUAtG+vWN/t5MmTefblbCvqWjmpqakIDw+HjY0NqlbNf8H2Fi1aQF9fH5cuXcpTrCAtLQ2XLl2CoaEhmjVrVtSnoZJGOj0ODg7KdNyKFSvQunVrfPzxx1i3bh2CgoIgkZTe3bbDhw/jzJkz0NLSQq9evQpsO2fOHDx9+hSTJk2Cn58f1qxZAy8vL2zZsgUikQhffvllnnJ66enpqFatGg4fPoy1a9fi6NGj0NHRwalTp7Bp0yZYWlpi79692LZtG1atWoWTJ09i8ODBiIyMxOzZs/PEEB8fjzNnzsDKykr5j87V1RVOTk54/Pgx/vvvv1ztczpEqqq7HTmiqMDj4eGh3PbDDz8gLi4OU6ZMwZEjR7Bq1SocO3YMo0ePxs2bN4vwFy2bsjIU41d19VTfbdbRfb09K7PgeQdv0zPQQ9OOiheq/768HeP8JMUnIT0lHckvkxGwLwA/jp0PmVSGFl1bVOi1enKG1ejr6ancr6f3OhNX2BCYnEo1ALB9x16V8xlyJlu7uTVVDgHKOW9KSipW/r4pzzGnTp9DYOB1iMViuPfpVmAM5Zns1TBQrXyyo+I3spbyfLKsb6o5zQOmrrWQEvIE10ctQ8qdJxAkMmRExCL0u7/x6I+D0DbSR72lHxd4ntqzB6HekvEAgFi/a7gzc32B7SsCvq6ICFCMANLT08OmTZtw+/brIb/BwcHYvHkz9PX1MWLECOX2iIgIhIeHIyUl7zDmO3fuQBAENGjQoMDHNDQ0RP/+/ZGUlIQFCxZAKlVMAZBKpVi4cCGSk5MxdOjQIleLy4/GStX89NNPmD59OgwMDJCdnY0LFy5g5cqVGDlyJNzc3PDVV18hIqJkVlwODw/HnDlzcv1Mnz4dPXv2VHYsZs+ene8EKwC4ceMGrl69ChcXF8yePVtZaQJQzAsaOXIkUlJSVK5QO3z4cOjoKL4059wt++uvvwAA33zzDerVe702hK6uLn788UfUrFkTN27cQFBQ7ko6Bw8ehFQqhYeHR66xljmdyLezPfXq1YOjoyPu3LmT5+/p6+sLkUiEfv36AQBCQkIQFBSE+vXr4/PPP1cOP9TS0sK8efMK/PuUdckJyQAAEzMTlftNzF9vT45PLta5m3RoCl19XUSGR+JRyKN3jjHsVhhuXlB0PBu0KvgNpDzLmXNgYWGmcr+l5et5bbGxBdf0T05OVVaDCQ4OUdnm/v2HyhsxNe0V1cESXw0/vRcalu9NmjuvyvTWrPnhzg9Ut5w5Ozpmqj+odCxev66yi/C6ququmLD7eM1hCNK8mYlHqw5ALpXBtGEtGNRUcVdRLEL93yahzleKuaQxR67gxvjfIEgKznJUBHxdEalXWRjeBiimfMydOxepqakYNmwYJkyYgAkTJmD48OFIS0vDwoULYWn5elmAcePGoU+fPvDz88tzrpwRS0UpCjZz5kzUqlUL+/fvR69evTBjxgz06tUL+/fvh4uLC6ZPn/7ez01jnR5tbW1MmzYN58+fx/LlyzFgwABlVYm0tDQcOHAAffv2VU6Aeh/x8fE4dOhQrp+zZ89CIpGgd+/e+OuvvzBhwoQCz3H5sqL6T8uWLVXORcpJB6oqHejsnLscq1QqxfXr16GtrY3u3bvnaa+tra0c+/j2+XKGtg0YMCDXdg8PD+jo6MDPzy/X3KScfUDubM+9e/cQFhaGFi1aoHr16gCAixcvAgC6du2a5zlqaWmpjLW8iApXvDCr1Kiicn8VG8X2+Jj4Ymd6WnRVVNW7cOR8ge20dbRhU9sG1vb5rwv17NEzAICZVcUtWBEaqhjba//qi9Lb7O0Uc/SePXte6B1piUSCR48KvrkiCIJyOI9Eqvgidv/+w0LjzPnSV5qZ6w9NWpji36u+rerJpwY1FB+Emc9fQp7PvJ836b9qnxameo6iNCkNkledJ4O3HlOkq41GW2aixqiuAIDInf64OXEFOzyv8HVFRDlGjhyJ9evXo1GjRrh27Rpu376Npk2bYuvWrcoRREWR833UxET1DeU3mZmZwcvLC6NHj4ZUKoW/vz/EYjEmTpyIv//+G0ZGRoWeozAanxFtbGyMfv36KbMNkZGRCAgIwNatWxEZGYk5c+bg1KlTsLCweOfHaNmyJbZt2/ZecUZHK9ZG2bp1K7ZuzX/xrrcLHwBApUqVcv2emJgIiUQCa2tr6OUzlCCnuMKblSxu376N+/fvQ0tLCz/99FOeY3R0dJCeno69e/di0qRJyu0eHh5YsWIFfH198emnnwJQPbQt5znmN7epsFKHZdmDW2Fo0bUlnJo64+j2vPOfnJoqOq73r6teb6Qgzs0Uxwb/F1xgu+EzR2DItCEIPHUFC8cvVNnG0lpxd+VlzPutSlyWXb12E+7u3eDm1hQbNv6TZ7+bW1MAwJXA60U6X2DQDTg41ESzZo1U7re3rwFdXd1XEzsVnePAV+euX68u9PX1VZbZdKyjyIwW9uWvPEu+8RCVuzeFWbM6iPw7713ASs0Uc2+SrqmevPo2WWoGtPR1oVdVdadfrKcDXSvF+6005Y1x4WIRGq6djqp9FJmiR6sP4MGif4vzVMo9vq6I1Etdc3DUpXPnzujcuXOh7U6fPp3vvkmTJuX6PloYMzMzfPfdd/juu++KfExxaCTT8+DBA1y8eFHlxMkaNWpg1KhR2L9/P2rWrIn09PQC/6ClJefuUuPGjZWdNFU/qqrNvb3YU1EWdMr52+jqvh5HnZPlkclkuHLlSp6fnMlfu3btyvUY1tbWaNGiBUJDQ/HwoeJOmq+vL/T09HLNY8q5c5bf4k9FXYiqLLp0VJHlatWjFYwr5R6KIxaL0XWw4u5wQDHm5ACAnr4ebGorOovhweEFtg2+dAsA0Lh9E1S2yXtn3NreGs06KeYGBZ4OLFYc5cm+/YpOqadHT5ibm+XaJxaLMWbMEADAjp1FqzK4a7dizaRBA91RvXreLNvUT8cBAM6e/Q+JiYrhN6dOn0dsbDyMjAwxaeLIPMc0bFgfbdu2hFwux4GDRavWVx7F+Coy1ZV7t4C22Vt36cQiVB+qmJcYvafgLGiOlxcUQ6VshndSub/aR+0g0hJDkpSGlDuvS7s7fDkYVfu5AVBUaWOHJy++rojUq6wMbyvPNNLpmTZtGsaPH4/Q0NB825iYmCiHeBVUvrm05NQG79ixI5YvX57vzzfffFPouczMzKCjo4O4uLh8F4B6+lQx8TNn3GR2djaOHDkCkUiEgIAAhIaG5vm5ffs2zMzMEBERgUuXLuU6X0468tixY7h16xYiIyPRqVOnXClHa2vFB1NOxudtqrJY5cXje48ReOoKjEyN8PX6ecq5PTp6Opi+bDrsHO0QGfYUl47l/ruampuihkONfIek2TnZQ0tLCy9fvERqUt4qhW+6ce4G7t+4Dx1dHczb8A2q2b/OuNk72WP+1vnQ1dfF2YNnC+1AlWfBwXdx5MhJVKpkil1eG2Fhobjrr6enh40blqN+vbq4FxqG/ftzZ+wsLc3h5OSA2rXtc20/dOgELl0KgomJMQ7s/zvX/sGDPTB16jgAwNKfVym3y2QyzP/xVwDAksXzMGxYf+U+OzsbbP3zd4jFYuzY6YOIiIq74GVqSARi/a5Bx9QQjbfMhI654oaCWE8HLv+bDGOnGkh7EIUXvrk78ToWJjCsUx0G9rnn5Tz64yDkEimq9G4Bx+9HQMvwdaa8al831P1xtKLd6gPKYWtGjtVRa4bi/S9yx2k8+n2/up5umcbXFRGVdxoZ3takSRM8fvwYO3bswOLFi/Nt9+iRYtJ3nTqaL03ZvHlzAIp641OmTMkz58XLywvbt29H79698dlnnxV4Lh0dHTRp0gRXrlyBn5+fsqx0DqlUqiwL6OamuDt56tQpJCYmomnTpvkOP9PR0YG7uzt27NgBLy8vtGnTRrmvZ8+eWLhwIfz9/ZGWlgYg99C2Nx8rICAAM2bMyLVPEASVJbnLkzXz1uCXvfZo1LYR/vxvK56GPYW1nTVMzEyQmpSKxZ8szpPtch/XFyNmjkDM0xhMbJt3XphFFcUXh8I6PDl+nrIUi72WwLGhI9b5r0fUw0hAJEINhxoQi8W4eeEmVn+1qvATlXNTp32NMy770LlzWzwKv4K79x6gdi07WFiYIzExCR8NnpDnWn02dTx++H42Hj9+ijp1Wym3C4KAocMn48RxbzRp3AAht88i5O59GBsZKb+o/TB/GU77585GbNy0DfXqOWL6tAnY/s8aLF38LWLj4uHawBk6OjoIDLyOmbN+UP8f4wMX8uVmtDy4ABbtGqDDtT+Qej8KhvZVoWNuDElSGm6M/y1PvWq7j3vC4cuPkBERi3MtXk9eTbn1CCGzN6H+b5NQa5oHbMd1R3p4NPRtLJXD2qK8zuDx6oOvzzWpN8TaisIzpg1qosXBH/ONNerfgApdupqvKyL1KWvD28ojjWR6Jk6cCD09PezZsweLFy/OU+ZOIpFg48aNOHnyJBwdHZVFAjSpVatWcHZ2xvXr17FixQplOT1AUfVsxYoVePDgQZEXTho7diwAYMmSJbh7965yu0QiwYIFCxAREQFXV1c0bKgoTZwztK2gFW0BoH///gAUYyzfnA9kbGyMLl26IDg4GIcOHYKZmVmeOuvNmjWDi4sL7ty5g7Vr1yq3C4KA1atXKzNzBS0qW5bFP4/HTPcvcPDPg0iKT0JN55qQSWU4sz8As/rNQmSY6nWTCmJirlixOD05/9XL3xQbFYuZ7l/Ae5UXnj16Bmu7arCytsK9q3exeu5q/DDye2SmcyXyqKhotGzVG6tWb0ZsbDwautaDVCrDv1770KqNO+7dK9ockRzPnj1Hi5Y9Mf/HX3EvNAx1HGrBxMQYx4/7o4/7CCxZ+rvK42bO+gGe/cfixIkAGBkZwKmuA+6FhmHeN4vRuetHymE7FVlW9Ev812Menmw6iuy4FJjUt4cgkyHa5wIu9/wWaQ+eFet8z7zP4L8e3+DZ7nOQJqfDuJ4dRFpaiD9zCzcnrMCdz9flam/u9rqQjGmj2jB3c873x8Cm8ApD5RlfV0RUnokEDU3UCAgIwJw5c5CSkgJdXV00atQIVlZWSE1NRXBwMBITE2Fra4utW7fC1lZ1NZnC+Pj4YN68ee9UyKBLly6IiorCmTNnlMO+wsPDMXbsWMTGxsLa2hr169dHamoqgoKCIJfLMXr06FyTr1Sd402//PIL/vzzT2hpaaF58+YwMzPDzZs38fz5c9ja2uLPP/+EnZ0dYmJilJPJzp49W2jpv169euHRo0eYNWsWJk+erNweEBCg/H348OH48ccf8xwbGhqKUaNGITk5GY6OjnBwcMCDBw8QHh4OW1tbPH36FMuXL1cWnigp/ez6Ft6IPghHnxdtIjNpnq+55m8YUdH0STin6RCoiDKe8VqVJTpWtTUdAgCglqXqoh7v41F8+V0/UR00VrK6U6dOOH78OKZNmwYXFxc8fPgQJ0+eRHBwMGrVqoW5c+fi8OHD79zhUQcHBwfs378f48aNg56eHs6fP4/w8HA0b94cq1atwrffflus882dOxdr1qxBy5YtERISgjNnzsDY2BifffYZfHx8YGenWIfgwIEDkMlkaNmyZZFqnefM33m7oEG7du2UVfDeHtqWw8nJCXv27IG7uzvi4uJw+vRp6OvrY/Xq1ejaVTGZvyilB4mIiIhIQQ6hxH+oeDSW6aEPT3JyMqKjo2FjY6Ny1dspU6bg9OnT8PX1hYODQ4k+NjM9ZQczPWUHMz1lBzM9ZQczPWXLh5LpsbdsWOLnfBJ/q8TPWZ5pLNNDH57Y2Fh4eHhg0KBBeeZZnT17FmfOnIGDg0OJd3iIiIiIyrOcBXlL8oeKR+OLkxbFunXrEB5evBK933zzzXstaFoROTg4oHPnzvD390enTp3QtGlTGBgYIDIyEnfu3IGxsTGWLl2q6TCJiIiIiIqlTHR6Ll68iCtXrhTrmC+++IKdnnewatUq7N27FwcOHEBwcDDS0tJQpUoVDB06FJMmTfqg5lgRERERlQWcg6N5ZaLTU9zKa/TudHV1MXz4cAwfPlzToRARERERlYgy0ekhIiIiIiqrOAdH89jpISIiIiJSIzk7PRrH6m1ERERERFSuMdNDRERERKRGAgsZaBwzPUREREREVK4x00NEREREpEYsZKB57PQQEREREakR1+nRPA5vIyIiIiKico2ZHiIiIiIiNeLwNs1jpoeIiIiIiMo1ZnqIiIiIiNSIi5NqHjs9RERERERqxOFtmsfhbUREREREVK4x00NEREREpEYsWa15zPQQEREREVG5xkwPEREREZEacU6P5jHTQ0RERERE5RozPUREREREasSS1ZrHTg8RERERkRoJLGSgcRzeRkRERERE5RozPUREREREasThbZrHTA8REREREZVrzPQQEREREakRS1ZrHjs9RERERERqxEIGmsfhbUREREREVK4x00NEREREpEYc3qZ5zPQQEREREVG5xkwPEREREZEaMdOjeez0EBERERGpEbs8msfhbUREREREVK6JBObbiIiIiIioHGOmh4iIiIiIyjV2eoiIiIiIqFxjp4eIiIiIiMo1dnqIiIiIiKhcY6eHiIiIiIjKNXZ6iIiIiIioXGOnh4iIiIiIyjV2eoiIiIiIqFxjp4eIiIiIiMo1dnqIiIiIiKhcY6eHiIiIiIjKNXZ6iIiIiIioXGOnh4iIiIiIyjV2eoiIiIiIqFxjp4eIiIiIiMo1dnqIiIiIiKhcY6eHiIiIiIjKNXZ6iIiIiIioXGOnh4iIiIiIyjV2eoiIiIiIqFxjp4eIiIiIiMo1dnqIiIiIiKhc09Z0AETlxbNnzwptIxKJoK2tDRMTE+jr65dCVPS2wMDAQtu8eZ1sbGx4rTTojz/+KLSNSCSCjo4OjI2NYWdnhxYtWkBPT68UoqMcfP8rW/bv31+kdm++rmrVqqXeoIjUTCQIgqDpIIjKA2dnZ4hEoiK3t7S0RI8ePTBz5kyYmJioMTJ6U3Gvk1gsRrt27fD999+jRo0aaoyMVHn7er39kfX2PpFIBHNzcyxevBidO3cutTgrOr7/lS3FvV4AUKdOHSxZsgSurq5qiopIvdjpISoh3377LW7fvo3Q0FBoaWnB1dUVNjY2EAQB0dHRCA4OhlQqhaWlJapWrYpnz54hMTERjo6O2L17N+98lpK1a9fC398fwcHBMDU1Rfv27XNdp4sXL+Lly5eoXr06XFxcEBERgdDQUFStWhX79++Hubm5pp9ChRIUFIRff/0VN2/eROvWrdGrVy/l9Xr+/DlOnTqFgIAA2NvbY+TIkYiIiMD+/fshkUiwa9cuODk5afopVAh8/ytbDhw4gJ07d+LmzZuoVasWunfvnut6BQQEIDQ0FHZ2dujSpQuePHmCs2fPwsjICD4+PrwBRGWTQEQl4vbt20LDhg2FESNGCFFRUXn2x8XFCRMnThSaNm0qhIaGClKpVFixYoXg5OQkrFmzRgMRV0znz58X6tWrJ8yYMUNITU3Nsz8rK0uYN2+e4OLiIgQGBgqCIAi7du0SnJychGXLlpV2uBXe9u3bBWdnZ+HPP//Mt83u3bsFZ2dnYdeuXYIgKF6L9erVE+bOnVtaYVZ4fP8rWw4fPiw4OTkJixcvFmQymco2v//+u+Ds7Cz4+fkJgiAIZ86cEZycnIQff/yxNEMlKjHM9BCVkAkTJuDOnTs4efIkjI2NVbbJyMhA9+7d4eLigg0bNgAAunbtCiMjIxw8eLA0w62wRowYgaioKPj5+UFXV1dlG5lMprzzuW3bNgCAu7s75HI5jh49WprhVnju7u7Q1tbGgQMHCmw3aNAgZGVl4fDhwwCAYcOGISYmBv7+/qURZoXH97+yZeDAgUhLS8OxY8cKHObm7u4OAwMD7NmzR3lcSkoK/Pz8SitUohLD6m1EJeT69eto2bJlvh/4AGBgYICmTZvmmkzv7OyMqKio0giRAISEhKBx48b5dngAQEtLCw0bNkRwcLBym4ODA54/f14aIdIbnj59WqQJ1La2toiIiFD+bm1tjfj4eHWGRm/g+1/ZEh4ejnr16hU6r8fR0REPHjxQ/m5ra4sXL16oOzwitWCnh6iE6OnpISEhodB2CQkJeT5oijuhlN6dsbFxkb5kRUVF5aoAlp2dXWBHidSjSpUquH37NmQyWb5tZDIZbt++DTMzM+W25ORkVKpUqRQiJIDvf2WNhYUFwsLCCm0XHh4OIyMj5e8ZGRm5ficqS9jpISohDRo0wNWrV3Hu3Ll821y6dAlBQUG5qt/cvXsX1apVK40QCUCzZs1w584d5XANVfbv34/g4GA0bdoUACCRSHDr1i3Y2NiUVpj0Srdu3RAZGYkffvgB2dnZefZLpVIsXLgQUVFR6NSpEwAgJiYGV69ehYODQylHW3Hx/a9sadOmDcLDw7F69ep826xbtw4PHjxA69atAQCpqam4du0a7O3tSytMohLFdXqISsinn36KS5cuYerUqRg5ciS6deuGatWqQS6XIzo6Gv7+/ti5cydEIhEmT54MiUSCr7/+GtHR0ZgyZYqmw68wpk2bhnPnzuH777/HmTNn0LVrV1SvXj3XdcqZ7zN9+nRkZWVh4sSJSEhIwIQJEzQdfoUzefJk+Pv7w8fHB2fPnkX79u1zXa/z588jNjYW1atXx+eff47k5GR4eHggOzsbQ4YM0XT4FQbf/8qWzz77DAEBAVi7di0CAgLQpUuXPO+DISEhqFSpEr744gukpaXho48+QlpaGvr376/p8IneCQsZEJWgo0eP4ocffkBKSkqeIRuCIMDQ0BA//PAD+vfvjydPnqBnz56oXr069uzZAwsLCw1FXfEEBQVh3rx5ePr0qcrrZG1tjaVLl6J169YIDw+Hu7s7XFxcsG3bNhgaGmoo6oorPj4eP//8M44cOQK5XJ5rn0gkQvfu3fHtt9+iatWquHfvHj766CMMGzYM3333nYYirpj4/le2PHz4EN9//z2uXr0K4PUww5yvhS4uLli6dCnq1q2L+/fvw8PDA507d8bq1auhrc175lT2sNNDVMISExOxf/9+XLp0Cc+ePYNUKoW1tTXc3NwwaNAgVK5cGQAQHR2NM2fOoE+fPjA1NdVw1BWPRCLBmTNncPHixTzXqUePHsr5PPHx8QgJCUHr1q35Qa9hCQkJuHz5MqKjoyGRSGBtbY2WLVvC2tpa2SY7OxsSiYTzDjSE739lz927d3Hx4sVcrys3Nzfl8F4ASElJQWxsLGrXrq3BSIneDzs9RCVEJpNBS0tL02FQIV6+fMm7ymXIyZMn0alTJ3Y4P3B8/ytb7t27B2dnZ02HQVSq2OkhKiGtW7eGu7s7+vXrh0aNGmk6HMpHgwYN0K5dO3h4eKBbt26syPaBc3Z2hpmZGXr16gUPD49cd5/pw8H3v7LF2dkZjo6O8PDwQL9+/XJlS4nKK3Z6iEpIgwYNIJVKIRKJYGdnBw8PD3h4eMDW1lbTodEb2rZti/j4eIhEIhgZGaFHjx7o16+fskIRfVhmzJiBM2fOICsrCyKRCDVq1EC/fv3g4eGBmjVrajo8eoXvf2XLwIEDERISApFIBJFIhBYtWsDDwwM9e/YscK0lorKMnR6iEpKUlITjx4/jyJEjCAwMhFwuh0gkQuPGjeHh4YHevXvnWkeENEMul+O///7D4cOHcfLkSSQnJ0MkEqFq1aro27cv+vXrBycnJ02HSW9IS0uDn58fjhw5gkuXLim/XLu6usLDwwN9+vThkEUN4/tf2fPkyRMcPnwYvr6+CA8Ph0gkgp6eHjp37gwPDw906NCBQxapXGGnh0gN4uLi4OvriyNHjuDmzZsQiUTQ1tZG+/bt4eHhgS5dunBY1QdAIpHg7NmzOHLkCPz9/ZGRkQGRSIS6devC09MT7u7uqFq1qqbDpDckJibi2LFjOHLkCK5evQq5XA5tbW20bdsWnp6e6NOnj6ZDrPD4/lf2hIaGKjtAUVFREIlEMDMzQ58+fdCvXz80btxY0yESvTd2eojU7NmzZzhy5Aj8/PwQHBwMADAxMcGVK1c0HBm9KTMzE/7+/jhx4gTOnTuHtLQ0aGlp4fbt25oOjfIRFxeH48ePY9OmTXj+/DlEIhHu3r2r6bDoDXz/K3tu3bqFEydO4NChQ3jx4gVEIhFCQkI0HRbRe2M5HCI1q169Opo1a4akpCTExMQgJiYGKSkpmg6L3iKTyZTDpoDXa1XQh0cul+PSpUs4duwYAgICEBsbCwCoV6+ehiOjt/H9r2x5/PgxLl68iMDAQLx48QKCIMDc3FzTYRGVCHZ6iNTkxo0b8PX1xfHjx5UfHlWqVMHHH38MT09PTYdHADIyMnD69Gn4+vri/PnzyM7OhiAIaNSokXKuCH0YBEHA5cuX4evrCz8/PyQmJkIQBFSrVg2TJk2Cp6cn6tSpo+kw6RW+/5UdT58+xdGjR+Hr64vQ0FAIggB9fX307t0bnp6eaNeunaZDJCoRHN5GVIJu374NX19fHDt2DNHR0cpVyHv06AFPT0+0atUqz0rlVLqysrIQEBAAX19fnD17FpmZmRAEAba2tsqKU/b29poOk14JCgrC0aNHcfz4ccTHx0MQBBgbGytfU25ubpoOkV7h+1/ZER0drezo3LlzB4IgQCwWo0WLFvD09ESPHj1YxY3KHXZ6iEpI9+7dERkZCUEQoKWlhTZt2sDT0xPdunWDvr6+psOjV5o2bYqMjAwIgoBKlSop72Y2adJE06GRCjkLKGprayvXV+ratSv09PQ0HBm9ie9/ZYuzszNEIhEEQVCu1+Ph4cHCLVSucXgbUQl5+vQp6tevD09PT/Tt2xeWlpaaDolUkEgk6N69Ozw8PNCxY0fo6OhoOiQqQIMGDdC/f/8ilaVOT0+HoaFhKUVGb+L7X9liZWWFfv36wdPTU3ljgai8Y6aHqISEh4fDwcGh0HY3b96El5cXli5dWgpR0duSk5NhampaYBupVIoTJ07Ay8sL//zzTylFRu/q7t278PLywpEjRxAUFKTpcCokvv+VLXK5HGKxuMA2L1++xJ49e7Bnzx6cOHGilCIjUh92eohKQWpqKg4ePAhvb2/cv38fAFha9wMUEREBb29v7Nu3DwkJCQB4nT5UmZmZOHz4MLy9vXH79m0IgsCS1R8ovv+VLZcuXYK3tzdOnToFqVQKgNeLygcObyNSo+DgYHh7e+PIkSPKCfNisRitWrXSdGj0ikwmg5+fH7y9vXH58mUIggBBEGBiYoJevXppOjx6S2hoKLy9vXHo0CGkpqYq55C0atUK/fv313R49Aa+/5UdCQkJ8PHxwa5duxAREaEs2V+rVi1W26Nyg50eohKWnp6OQ4cOwdvbW3l3LGeyqKenJ/r168fJoh+Ap0+fYvfu3fDx8UF8fDwAQEtLC+3atYOnpye6du3KVeM/EFlZWfD19YW3tzdu3rwJQPGacnJyUr6mKleurOEoCeD7X1lz5coVeHt7w8/PDxKJBIIgwMzMDO7u7vD09ETDhg01HSJRieHwNqISEhISopxXkJ6errxTJhKJsG/fPk4W/QDI5XKcOnUKXl5euHTpkjKro6WlBblcjgsXLhQ6WZ5KT1hYGLy8vHDw4EGkpKRAEARYWlpCJpMhKSmJQ24+IHz/KzuSkpKwb98+eHt74/HjxxAEATo6OtDW1kZmZiZu374NLS0tTYdJVOKY6SF6DxkZGcp5BTlrHWhra6NLly4YNGgQNm/ejOvXr/MDX8OePXuGXbt2Ye/evYiLi1OuMt6vXz8MGjQIixYtQlBQEDs8H4Ds7GwcPXoU3t7euH79uvI11alTJwwaNAidO3fGuHHjWLDgA8D3v7IlKCgI3t7eOHHihHIhZicnJwwcOBAeHh6YMWMGgoKC2OGhcoudHqJ3tGDBAuW8AgCoW7cu+vfvD09PT2W51q1bt2oyRALwySef4MKFC5DJZMovz/3790eXLl1YrvoD1L59eyQnJ0MQBNSvXx8eHh7o27cvrKysNB0avYHvf2VL3759ER4eDkEQYGFhgcGDB6N///5o0KCBpkMjKjXs9BC9o3///Rf6+voYP348BgwYgLp162o6JFLh7Nmz0NfXx4QJE/Dxxx/DzMxM0yFRAZKSkqCvr48xY8Zg+PDhqFatmqZDIhX4/le2hIWFKV9XkydPhpGRkaZDIip1BRdpJ6J85Yx/3r59O5YsWYJ///0XiYmJmg6L3mJpaYnMzExs2rQJQ4YMwfLly5Vlc+nD06NHD8hkMmzatAldunTBkCFDsGPHDiQlJWk6NHoD3//Klvr16yvfB9u1a4eZM2ciICAAcrlc06ERlRoWMiB6R4mJiTh06BD27duHkJAQiEQi5Xj2gQMHon379hg7diyCgoI44VqDZDIZzp49i7179yIgIABSqRQikQguLi4YOHAg+vbti88++4zX6QOSmJiIgwcPwsfHB/fu3YNIJIKOjg66dOmCAQMGYMOGDbh+/Tqvlwbx/a/suX//Pvbu3YvDhw8jPj4eIpEIlpaW8PT0xIABA7BgwQJeLyrX2OkhKgGhoaHKD5OXL19CJBLBysoKEomEVaY+IAkJCcov06Ghocov09ra2sjIyMDNmzdZpvoDc+/ePeVrKyEhASKRSLlv586daNKkiQajI4Dvf2WNTCaDv78/fHx8cPbsWeWNIC0tLchkMgQEBLCsOJVL7PQQlSCpVAp/f3/s3bsX58+fV36Y2NnZwd3dHX369EGdOnU0HSZBscJ4zhe1nGE5xsbG6Nq1K/r06YN27dqxitEHRCqV4vTp0/Dx8cn12qpWrRp69+6NPn36wMXFRdNhVmh8/yt7Xr58iQMHDsDHxwcPHjwAAIjFYjRt2hR9+vRBr169WNWSyg12eojUJD4+HgcOHMC+ffvw4MED5R3qOnXqoG/fvpg8ebKGIyQAkEgkOH36NPbt24dz585BJpNBJBLB1NQUPXv2xMKFCzUdIr0lPj4e+/fvx759+xAWFqZ8bdnb2+PYsWMajo4Avv+VRXfu3MHevXtx5MgRJCUlKbM/bm5u2LJli6bDI3pv7PQQlYLg4GD4+PjA19dX+WHCIR8fnri4OOWX6fDwcF6nMiA4OFj5RS01NZXX6wPE97+yJTs7G6dOnYKPjw8uXrwIuVzO60XlAjs9RKUoOzsbJ0+ehI+PDzZv3qzpcKgAN2/ehI+PDxYsWKDpUKgIcl5bffr00XQolA++/5U9L168wP79+/HJJ59oOhSi98ZODxFRPkJDQ+Hk5KTpMKgQWVlZiI2Nhb+/P0aPHq3pcKgQiYmJXC/rA3L16lUEBgYiLi4OOjo6sLKyQsuWLeHq6qrp0IhKFDs9RO/o+++/h0gkwueffw5LS0t8//33RT5WJBJxrogG3blzB97e3nj27BkkEgnefBsUBAFZWVmIi4vD8+fPERISosFICQC2b9+Obdu2ITo6GhKJpMC2HIajOTExMdi/f3+hr6sbN24gODhYg5ESADx79gyzZs3CzZs3AUB5vXLmXzVs2BDLly+Hra2txmIkKkns9BC9I2dnZ4hEIvj6+qJWrVpwdnYu8rEc0645t27dwqhRo3J9KROJRLm+oOV86NetWxcHDhzQSJykcOTIEcyePVv5e861EovFuRZWtLKyQu/evfHtt99qIswK79GjRxg6dChSUlJUvq5yXlOCIKBSpUq4fPmyxmIlIDk5GQMHDkRkZCTs7e3Rs2dP1KhRAzKZDE+fPsXJkycREREBe3t77N27F8bGxpoOmei9aWs6AKKyaunSpQCAypUr5/qdPmybNm1CdnY2evbsiYEDB+LMmTPw8vLC+vXrIZfLcf78eXh5eaFWrVrYvXu3psOt8Ly8vCASiTB37lwMHToU+/btw6JFi+Dv7w9jY2OcP38eP/30EyQSCSZOnKjpcCusdevWITk5GU2bNoW7uzuuXr2KY8eOYcGCBcjOzsb58+cREBAAR0dH7Nu3T9PhVnibNm1CZGQkhgwZgvnz5+cpzz979mz8+OOP2L17N/766y9MmzZNQ5ESlSCBiKgCadu2rdC+fXshOztbEARBCAoKEpycnAQ/Pz9lmz179ghOTk7Chg0bNBUmvdKiRQvB3d1d+fvdu3cFJycnYf/+/cpt169fF5ycnISFCxdqIkQSBKFDhw6Cm5ubkJaWJgiCIFy8eFFwdnYWzp49q2yzdu1awdnZWdi5c6emwqRXevToIXTs2FGQSCT5tpFIJELHjh2Fvn37lmJkROoj1nSni6i8OXr0KP78889c2y5duoRPP/0Uvr6+GoqKciQmJqJ+/frQ0dEBoBjCBijm+eQYNGgQatSowev1AUhPT0ft2rWVv9euXRsikQj37t1TbmvcuDFcXFxw7tw5TYRIUCxy6erqCkNDQwCAk5MTBEHINXdn8uTJsLKyYqbnAxAdHY1GjRpBWzv/AT/a2tpo1KgRIiMjSzEyIvVhp4eohEgkEkyfPh2zZs3Cnj17cu17+PAhAgICMHv2bMydOzfX/BEqXYaGhrmGcpiYmMDMzAzh4eG52tWrVw9Pnjwp7fDoLaampsjIyFD+rquri6pVqypXj89Ro0YNPH/+vLTDo1d0dXVhYGCg/N3CwgLGxsa5XldisRgNGzbEw4cPNREivUFfXx+JiYmFtktMTFTeICIq69jpISoh//77L/z8/ODs7Ixvvvkm175hw4bhn3/+Qb169XDw4EFs375dQ1FSrVq1EBISkmsSfK1atXD79u1c7dLT00s7NFKhXr16uHbtGpKSkpTbHBwcEBwcDJlMptz27NmzXF+6qXTZ2dkhNDQ017ZatWrlyqACgFQqLbQCH6mfq6srrl69mueavenevXsICgpCgwYNSjEyIvVhp4eohPj4+MDCwgLbtm1Du3btcu3T0tJCy5YtsXXrVpiamnKCvAZ1794d0dHRmD17Np4+fQoAaNmyJaKjo+Hj4wNAUeHt8uXLLNX6ARg0aBDS0tIwdOhQnDhxAgDQpUsXJCUl4ccff8Tjx4/x559/Ijg4GI6OjhqOtuLq2LEjIiIi8MsvvyAtLQ0A0KRJEzx58gTnz58HADx9+hRXrlyBjY2NJkMlAGPGjIFUKsWECRPg6+uL7Oxs5b7s7Gz4+vpi4sSJkMvlGDVqlAYjJSo5LFlNVEKaNm2Ktm3bYvXq1QW2mzJlCi5cuIBbt26VUmT0pszMTIwYMQIhISHo1KkT1q9fj9jYWPTo0QOZmZmwsrJCfHw8BEHAN998w8UuPwA//vgjvLy80KNHD6xatQpZWVno27dvrrkGgiBg06ZNaN++vQYjrbiSkpIwcOBAPHv2DO3bt8fGjRsRERGB3r17Q0tLC/Xr18eDBw+Qnp6Ozz77jNXAPgDLly/H5s2bIRKJoKWlpaxEGhsbC5lMBkEQMGHCBHz55ZcajpSoZLDTQ1RC2rZtCwcHB/zzzz8FtpswYQJu3bqFwMDAUoqM3paVlYXt27dDX18fI0eOBAD8999/+O677xAZGQl9fX2MHj0aM2fOhFjMhPiHIDg4GKmpqWjdujUA4MWLF1ixYgVu3boFa2trjB07Fh06dNBwlBVbfHw8/vjjD1hYWGD69OkAgEOHDmH+/PnK4aJ9+vTB0qVLoaenp8lQ6ZVTp07hr7/+wo0bN5TDDnV0dNC4cWOMHTsW3bp103CERCWHnR6iEvLpp5/i/Pnz2L17N+rVq6eyTXh4ODw9PdGiRQts3bq1lCOkonj58iXMzMzY2SEqIenp6QgLC0O1atWU2QTSrPv378PBwUFZ1EUmkyExMRGCIMDMzKzAqm5EZRU/1YlKyJgxYyCTyTB+/Hjs3LkT0dHREAQBgiDg+fPn2LVrF8aOHQuZTIaxY8dqOlzKh4WFBTs8RMX0xx9/4OTJkyr3GRoaomHDhqhcuTJ2796NefPmlXJ09LapU6eib9++yt+1tLRgaWkJKysrdnio3GKmh6gEbdiwAb///nuBJamnTZuGzz77rBSjorelpaXh8OHDePDgATIyMnJVcnuTSCTCkiVLSjk6etutW7fw999/F+l65ffFm9TL2dkZnp6e+OWXXwpsN2XKFFy8eBE3b94spchIFVdXV3Ts2BF//PGHpkMhKjXs9BCVsNu3b8PLywuBgYF48eIFZDIZrKys0LRpUwwfPhzNmjXTdIgVWlRUFEaOHImYmJhC10sSiUS4e/duKUVGqgQFBWH8+PGQSqW8Xh+QpUuXIjk5Wfn7vn37YGdnV+D7W2pqKk6dOgVLS0suJKthnp6eyMrKwpEjR3KtW0ZUnjGHSVTCGjRogEWLFmk6DMrH77//jufPn6NOnTrw8PBA5cqV+aH/AVuzZg0kEgk8PT0xYsQIDr/5QNjZ2eGnn35S/i4SiRAREYGIiIhCjx0zZow6Q6Mi+OWXX/DJJ59g5MiRGDZsGJydnWFmZgaRSKSyfdWqVUs5QqKSx0wPkRpkZ2fj9u3biIuLg66uLiwtLVGvXj1+WfsAtG7dGlpaWjh+/DiMjIw0HQ4VomnTpqhevToOHz6s6VDoDXK5HL6+vpDL5RAEAXPnzkXTpk0xbNgwle1FIhH09PRgb28PJyenvZ+8WwAAIYlJREFUUo6W3ta6dWtkZWUhIyOj0LYikQghISGlEBWRevEbGFEJkkqlWLVqFbZv357nw8TExARDhw7FjBkzoKOjo6EIKT09HR07dmSHp4wQi8WoXbu2psOgt4jF4lwT4ffs2YN27drBw8NDg1FRURkYGMDAwABmZmaaDoWo1DDTQ1RCZDKZsmy1WCyGq6srbGxsIJfL8fTpU4SEhEAQBLRr1w6bNm3SdLgV1oABA6ClpYU9e/ZoOhQqgnHjxuHZs2c4fvx4vkNviIiICsNMD1EJ8fb2xrlz5+Dq6or//e9/sLW1zbU/IiICs2bNwvnz57F3714MGjRIQ5FWbCNHjsR3332HM2fOoGPHjpoOhwoxffp0jBkzBqtXr8aMGTM0HQ4V4vr164iOjkZ2dnau7XK5HFlZWYiLi4O/vz98fHw0FCERVVTM9BCVkMGDB+Phw4fw8/ODhYWFyjYvX75E9+7dUbduXfz777+lHCEBQFhYGFauXIkzZ86gT58+aNiwIUxMTPLNIvTr16+UI6Q37dixA+fOncOZM2dQrVo1NGjQAKampiqvl0gkwsKFCzUQJaWkpODjjz/G7du3C2wnCAKr7H1AXr58iT179iAwMBDPnz9Hu3btMHfuXKxbtw5OTk7o0qWLpkMkKjHs9BCVkCZNmqBVq1ZYt25dge2mTJmCq1ev4sqVK6UUGb3J2dkZIpFIWf64sCFT/HKmWW9fr4Lwy7Tm/Prrr9iyZQsqVaqEVq1a4enTp7h37x48PT2RlpaGa9euIS4uDo6Ojli2bBnq1aun6ZArvDNnzuDLL79ESkqKsjPar18/LFu2DP369UNYWBjGjBnDxWSp3ODwNiINkEgkmg6hwurfvz/nhpQhS5cu1XQIVASnT5+Gjo4O9uzZA1tbW/j5+WHGjBkYPnw4GjZsiMzMTMyePRunT5/Gy5cvNR1uhXfv3j1Mnz4dIpEI48ePR7t27fDxxx8r948cORIrVqzAP//8gxYtWqBbt24ajJaoZLDTQ1RCatWqhcDAQCQlJaFSpUoq2yQmJiIwMJDVqDTo559/1nQIVAwDBgzQdAhUBNHR0WjSpIlyLqOLiwsEQcD169fRsGFD6Ovr4+eff0aHDh3w999/o23bthqOuGJbu3YtpFIptmzZgtatW+fZP2zYMDRs2BAfffQRtm3bxk4PlQtiTQdAVF4MHDgQqampmDp1KmJiYvLsf/78OaZOnYq0tDR4enpqIEKisi07OxvXrl3DiRMnEBAQgODgYEilUk2HRa+8OZexevXq0NXVxYMHD5TbTExM0KxZs0Ln/ZD6BQYGolGjRio7PDnq16+PZs2aITw8vBQjI1IfZnqISsjw4cNx/PhxBAYGomvXrmjcuDFsbGwAAJGRkbh58yakUilatGiBESNGaDjaiuPQoUMAgC5dusDIyEj5e1GxkIHmcf2rD1+VKlXw7NmzXNvs7OwQGhqaa5uBgQFSUlJKMzRSIS0tDVZWVoW2MzEx4fWicoOdHqISoqWlhS1btuC3336Dt7c3goKCEBQUpNxvYGCAkSNHYtasWdDW5kuvtHz55ZcQiUTw9fVFrVq1lL8XFTs9miWTyTBlyhTl+leNGjXKs/7V5s2bce/ePa5/pUEtW7bE3r174e/vj86dOwMA6tWrh6NHj+Lp06ewtbVFdnY2bt68icqVK2s4WqpWrZpy7bj83g9lMhlCQkJgbW1dytERqQe/eRGVEJlMBl1dXcybNw+zZs1CcHAwXrx4AUBxF7RBgwbQ19fXcJQVT07hAhMTk1y/U9nA9a/Kho8//hiHDh3C1KlTMWTIECxYsABDhgzBoUOHMGHCBPTu3RsXLlxAbGws+vfvr+lwK7xu3brhzz//xMqVKzFz5kyVbVatWoWYmBiMGzeudIMjUhOWrCYqIYMHD4aNjQ1Wrlyp6VCIyg2uf1V2XLlyBQsXLoSrq6uy6t78+fPh7e2tbGNnZ4dt27ahatWqmgqTACQnJ2PgwIGIioqCi4sLWrRoga1bt6Jx48bo1KkTzp49i+vXr6Ny5crYv39/vq89orKEnR6iEtKoUSO0aNECmzdv1nQoROUG178qe9LS0mBkZKT8PTAwEDdv3kS1atXQuXNnGBoaajA6yhEdHY3Zs2fj2rVrKvc7Ozvjf//7H6uNUrnB4W1EJaRSpUpIT0/XdBj0luIWLngb5/SUHVz/6sPwZocHAFq0aIEWLVpoKBrKT7Vq1bBz507cvHkTly9fRnR0NGQyGapUqYLmzZujVatWmg6RqEQx00NUQg4fPoy5c+dizJgxGDNmDKpVq6bpkAiKu5XvM4fn7t27JRgNFdfAgQMRERGBU6dOFbj+Vbdu3WBvb4+9e/eWcoQEKLI5hRGJRNDW1oaJiQlsbGw4x5GIShUzPUQlxM/PD9WrV8dff/2Fv/76C6ampjA1NYVYrHo5rOPHj5dyhBUTCxeUbQMHDsSiRYswdepU/O9//8szF+T58+eYNWsW17/SsNGjRxfrdSYWi9GuXTt8//33qFGjhhojIwDKteMqV64MsVisci25gnAOFpUHzPQQlRBnZ+citxWJRMwgEBWBTCbDuHHjEBgYCG1t7QLXv9q6dSvLwWvI2rVr4e/vj+DgYJiamqJ9+/awsbGBIAiIjo7GxYsX8fLlS1SvXh0uLi6IiIhAaGgoqlativ3798Pc3FzTT6Fcc3Z2hlgsxpEjR1CrVq1iZcBFIhFCQkLUHCGR+vHTgaiEnDp1StMhEJU7XP+qbGjUqBH++OMP9OzZE0uWLMkzryc7Oxs//vgjDh48iGXLlqF58+bYvXs3vv/+e2zevBlffvmlhiKvGKpXrw4AytdIzu9EFQkzPURUrq1fv/69jv/0009LKBJ6X1lZWVz/6gM1YsQIREVFwc/PD7q6uirbyGQydO/eHTY2Nti2bRsAwN3dHXK5HEePHi3NcImoAuJtMaISIJFIEBMTo3Js+tOnT3Hq1Cn0798fZmZmpR9cBbdy5cp3mtOTs1I5Oz0fDj09PTRv3lzTYZAKISEh6NixY74dHkCRtWvYsCECAgKU2xwcHHDu3LlSiJCIKjp2eoje0969e7Fy5Uq0bt0ay5Yty7P/3Llz+Pnnn/HHH39g1qxZGDFihAairLg+++wzFjIow/bv31+kdjo6OjA2NoadnR1q1aql3qAoD2NjY0RFRRXaLioqCnp6esrfs7OzC+woUcm6e/cu/Pz8EB8fj+rVq6NXr16wt7fXdFhEpYKdHqL38Oeff+LXX3+FIAh4/vy5yjbm5uawt7fHkydP8NNPPyElJQWTJ08u5UgrrunTp2s6BHoPX3/9dbE7rXXq1MGSJUvg6uqqpqjobc2aNcOJEyewZ88efPTRRyrb7N+/H8HBwejcuTMARYb81q1bysIUpF7Lli3D1q1bAbzOZK9evRpz5szBuHHjNBscUSngnB6idxQcHIwhQ4ZAV1cXCxcuhIeHR4Ffznbt2oWffvoJgiBgz549xar2RpqRmJjIIYkaduDAAeUCirVq1VLOCcmpChYQEIDQ0FDY2dmhS5cuePLkCc6ePQsjIyP4+PiwHHIpefDgAYYOHYqMjAx069YNXbt2RfXq1SGXyxEdHQ1/f3/4+flBR0cHXl5ecHBwwMSJExEUFIQ5c+ZgwoQJmn4K5drRo0cxc+ZMaGtro0uXLrC1tUVYWBjOnDkDkUiEv/76C25ubpoOk0itmOkhekfbt28HAPzyyy/o1atXoe2HDBkCbW1tfPPNN9i+fTsWLVqk7hApHzExMdi/fz+ePXsGiUSCN+/9CIKArKwsxMXF4caNGwgODtZgpKStrY2bN29izJgx+Prrr/OsezVz5kysWrUK69atQ/PmzfH111/j7Nmz+OSTT7BlyxbMnz9fQ5FXLI6Ojti4cSPmzZsHPz8/nDx5Mtd+QRBgbW2NpUuXon79+ggPD0dgYCBcXFwwfPhwDUVdcfj4+EAsFmPTpk1o3bq1cvvhw4cxZ84c7Nq1i50eKveY6SF6R126dIGOjk6xFhkVBAGdO3eGjo4O/Pz81Bgd5efRo0cYOnQoUlJSlJ0dkUiU678BxbWqVKkSLl++rLFYSbE4aVpaGo4dO1ZgJtXd3R0GBgbYs2eP8riUlBS+zkqZRCLBmTNncPHiRTx79gxSqRTW1tZwc3NDjx49lPN54uPjERISgtatW7PUeClo164d7OzssHPnzjz7evXqBalUmqejSlTe8J2G6B3FxsaiQ4cOxTpGJBKhQYMGOHv2rJqiosKsW7cOycnJaNq0Kdzd3XH16lUcO3YMCxYsQHZ2Ns6fP4+AgAA4Ojpi3759mg63wgsPD0fnzp0Lndfj6OgIf39/5e+2tra5qoRR6dDR0UG3bt3QrVs3lfuzs7Ph6+uL/v37o3379qUcXcWVlJQEa2trlfvq1q3LCnpUIYgLb0JEqhgbGyMrK6vYx0mlUlYT06DLly/DzMwMmzdvxsiRIzF48GAIgoBq1aph1KhRWL9+PT7//HOEhYVh9+7dmg63wrOwsEBYWFih7cLDw3MtiJmRkZFngUzSnPDwcCxevBjt27fHN998o+lwKhyJRJJvRk1PTw+ZmZmlHBFR6WOnh+gdVa9eHQ8fPiz2cffv30fVqlXVEBEVxcuXL+Hq6gpDQ0MAgJOTEwRByDV3Z/LkybCysmKm5wPQpk0bhIeHY/Xq1fm2WbduHR48eKCcq5Camopr166xFK+GZWdn4+DBgxg5ciT69u2L7du3IykpSfnaIyIqTRzeRvSOOnXqhLVr1+L06dPo0qVLkY4JCAjAs/+3d/dhNd//H8Cfn07iiEpqrbaYSsIc42JmFRWSSrkdG+YudlO7zGJj7r6zi7a5ZkZuYgzJ0KiZ7udcTGaouYkSiTQnN2WncIqOPr8/zPk5U5ubOp/qPB//uD6fz/tzXc/r6srp9Tnvz+ulUmHIkCF1G45qZGZmBrlcrju2trZGixYtcP78ed05ExMTKBQKvs9TD4SGhmLfvn1YtWoV9u3bBx8fn0e6gmVnZ8PS0hIffvghbt++jREjRuD27dv8PZPIhQsXsH37dsTHx6O0tBSiKEImk8Hd3R3BwcE1bn0jIqpLLHqIntLw4cOxbt06zJ8/H23btoWzs/O/ri8oKMCcOXMgCEKNcyyo7rVp0wa5ubl659q1a4fTp0/rndNqtaisrDRkNKqGg4MDoqOjMW/ePGRmZuL06dN6zSYAoHPnzoiIiICjoyPOnj2LixcvwtvbG8OHD5cyulGprKxEamoqtm3bhoyMDAD/Pwtm1qxZGDx4MFq3bi1xSiIyZuzeRvQMYmJi8Pnnn0Mul2PMmDHw9/dHx44d9f4oy8rKQlpaGqKjo1FRUYEpU6YgPDxc4uTGa9myZYiKisKECRMQFhYGc3NzLF68GNHR0Vi3bh08PDxQWFiIoKAg2NvbIzExUerI9LecnBz89ttvKCoqQmVlpa4rWPfu3XVrbt68ievXr8PJyUnCpMajoKAA27dvR1xcHNRqNURRhLW1NYKCgnDw4EHk5eUhJydH6phGz83NDTY2NtX+XuTn56OkpAQ9e/as9l5BELBp06a6jkhU51j0ED2jqKgorFixAvfu3QNwf66IlZUVtFotysrKUFVVBVEUYWpqipCQEHz44YfSBjZypaWlGDZsGFQqFTw9PbF27VpcunQJgwYNgkwmQ6dOnXDu3DloNBqEhoYiLCxM6shE9U5SUhK2b9+Ow4cP67aveXp6Yvjw4fD29oapqSnGjRuHjIwMFj31wLMMwxYEgT9DahRY9BDVgjNnzmDz5s1IS0vDzZs39a7Z2dnBx8cHY8eO/c8tcGQYJSUliIyMhLW1NT744AMAwM8//4wFCxZAo9EAAPz9/REREaGbK0LSKy0tRXl5Oaqqqmpc4+DgYMBExsvNzQ0ymQxdu3bFoEGDEBAQAGtra701LHrqj2dtyjJ06NBaSkIkHRY9RLWoqqoK169fx7Vr12BqagpbW1vY2NhIHYsek0ajQV5eHuzt7WFrayt1HPrbxo0bsX79ehQXF//rOkEQkJ2dbaBUxs3NzQ1mZmZQKBTo3bs3/Pz8Hnmow6Kn8VGr1dBoNHy4QA0Six4iiUVERGDv3r2chm0gixcvRnBwMDp37ix1FHoMsbGxmDdvHgBALpejVatWNc4bAYDU1FRDRTNq+/btw65du6BUKnVbezt16oRhw4YhMDAQlpaWLHoaoZkzZyIhIYEPF6hBYvc2IonduHEDly9fljqG0di8eTOio6PRrl07BAcHIzAwEC+88ILUsagGW7duhYmJCT7//HMMHToUJiYcL1cfeHl5wcvLC3/99Rd2796NuLg4nD59GtnZ2fjyyy/h7e2Nq1evSh2T6gCflVNDxU8PIjIqc+fORdeuXXHhwgV88803GDBgAMaOHYvY2NhH3sci6eXn56N79+4YPnw4C556qFWrVhg/fjzi4+MRHx+PMWPGwNzcHCkpKbh06RIAYP78+Th06BD/WCYiSXF7G5HEZs6ciT179nALiIEVFRVhz549SExMRE5ODgRBQJMmTeDl5YWgoCD07dsXTZo0kTqm0Xv99dehUCiwZs0aqaPQY9JqtVAqldi1axfS09Oh1WohCAJat24NPz8/+Pv767UZp4aDn1fUkLHoIZIYP0Skd+HCBSQkJCAxMRH5+fkQBAEWFhbw8/PDZ599JnU8ozZz5kykp6cjLS0NLVq0kDoOPaHi4mLEx8cjLi4O58+fBwCYmJjwnZAGip9X1JBxrwARGb127dohLCwMiYmJWL58Oezs7FBaWoodO3ZIHc3ohYeHQyaTITw8HIWFhVLHoSdkY2ODkJAQJCQkYMeOHRg1apRe8apWq6FSqSRMSETGgo0MiMjonTlzBklJSUhOTsalS5cgiiJsbGwQGBgodTSjFxERgRdffBG//vorfH19YWlpCQsLCwiCUO36lJQUAyekx6VQKKBQKDBnzhzduUWLFrEbGBEZBIseIjJKeXl5SExMRGJiIgoKCiCKIuRyOQIDAxEUFAR3d3e+OF8P/LOIUavVUKvV1a6tqRCi+sXMzEzvmLvsicgQWPQQkVFZuXIlkpOTkZeXB1EUYWJigtdffx2DBw+Gr68vmjdvLnVEesjevXuljkBERI0Aix4iMiorVqwAcH+ifFBQEAIDA/Hcc89JnIpqwhlKRERUG1j0EJFRmTx5MoKDg+Hq6ip1FKpFlZWVOHDgAHx8fKSOQkRE9RCLHiIyKjNnznzstVVVVXyvpx5QKpWIiYmBSqVCZWWl3jsgoijizp07KC0txb1799hKl4iIqsWih0hioijyRV4D02g0UCqV//pHdHFxMQ4cOICDBw9KmJTS09MRGhr6n78j5ubm6NWrl4FSETU+arUaSqUSpaWlcHFxgaen5yNrnJ2d0aNHDwnSET07DiclqgPXrl1DRkYGrly5gjZt2qB///7IysqCm5sbmjRpInU8o3b16lW8+eabKCoq0jsviqJe968Hx/zmQFohISFIT0/H+PHjMXLkSCQnJ2PVqlX48ccfYWpqivT0dERGRsLKygrx8fGwsLCQOjI9AQ67NKzNmzdjx44d8PDwwKxZs3TnlUolZsyYgfLyct259u3bY82aNXBwcJAiKlGt474NolpUVlaGGTNmwNvbG+Hh4ViyZAlSU1MB3J9H4ePjg2PHjkmc0ritXr0aKpUKjo6OmDhxInr37g1BEPD+++9jwoQJ6NChA0RRRPv27fH7779LHdfonTp1Co6Ojpg9ezZcXFzQp08fVFVVoaCgAK6urpg0aRKWLl0KlUqF7777Tuq4RPXWxx9/jIiICOTl5aG4uFh3vrCwENOnT4dGo0GbNm0wZcoU9OvXD+fOncPEiRNx9+5dCVMT1R4WPUS15Pbt2xg3bhz27NmjG2z58Bep5ubmuH79OiZNmoSCggIJkxq39PR0NG/eHNu2bcPHH3+M8ePHQxRFvPbaa/jkk08QFxeH0aNHIy8vj1vb6oFbt26hQ4cOuuP27dsDgN4wSy8vL7i4uLC9NVEN9u/fj927d8POzg6rV6/GokWLdNciIyNx584dODo6YufOnfjoo48QGRmJ6dOno6CgAFu3bpUwOVHtYdFDVEvWrVuH3NxcjBo1CmlpaViyZIne9fXr1yMsLAzl5eWIioqSKCVdu3YNr7zyCqytrQEAnTp1giiKOHHiBID7Ay4//fRTWFhY4IcffpAyKuH+wwKtVqs7lsvlsLGxQV5ent46JycnXL582dDxiBqE+Ph4mJiYICoqCt7e3mjatCkAQKvV4pdffoEgCJgwYQJatGihu2fSpEmwtLR8ZEAwUUPFooeoliQlJcHBwQHz589/ZOL4A2FhYWjbti0yMzMNnI4ekMlkaNmype7Y1tYWcrkc58+f150zMzNDt27dcPbsWSki0kNcXV1x8uRJvS02Tk5OyMrK0lt348YNmJqyNw9RdY4fP46OHTvqfWsKACdOnMDt27cBAN7e3nrXTE1NoVAocOHCBYPlJKpLLHqIaklRURG6dOkCmUz2r+s6dOiAK1euGCgV/ZODgwMuXryod65t27aPvEhtYmICjUZjwGRUnYCAANy4cQMTJ07UPSzw8PBASUkJIiMjUVlZieTkZGRmZuKll16SNizpUavV2LVrF77//nscOHCg2jXsBmYYJSUl1Q76PXr0KID7Q4Cra1jQokULXVFE1NCx6CGqJebm5o9VzFy+fBnm5uYGSETVcXd3x9mzZ7FlyxbduS5duuDs2bM4ffo0AKC0tBSZmZmwt7eXKib9beTIkejbty8yMzOxYcMGAMCbb74JKysrrFy5EgqFAtOnTwcAjB8/XsqoRmnz5s0IDAzEF198oXdeqVTCx8cHc+bMwVdffYWpU6ciKCgIKpVKb927776L6OhoQ0Y2Sk2bNkVFRcUj548ePQpBENCzZ89q7ysuLoalpWVdxyMyCBY9RLWke/fuOHXqFI4fP17jmoyMDGRnZ6Nbt26GC0Z6Jk+eDAsLCyxatAjTpk0DALz11lsQRRGTJ09GeHg4hg4dirKyMnh5eUkbliCTyRAVFYVly5YhICAAANCyZUts2rQJPXr0QNOmTdG2bVssWLAAgwcPljitcWE3sIbD0dFRbwsvcL9JyINvejw8PB6559atWzhx4gQcHR0NkpGorrHoIaolU6dO1f0bExODc+fOAbg/7+Xq1auIjY1FWFgYBEHAxIkTpYxq1Ozs7BATEwNPT09dM4OOHTvio48+QllZGRISEqBSqfDKK68gLCxM4rT0gJ+fH/z9/XXHrq6uiI6OxvHjx5GcnIzRo0dLmM74sBtYw9KnTx+oVCrs3LlTdy4mJgZ3795Fs2bNqn3As3z5clRWVsLd3d2ASYnqDoeTEtWiXbt2YcGCBXrdph4mCAI++eQTbsOpp/78809kZWXB3t4eCoUCJiZ8LmRos2fPfup7BUHA4sWLazEN1WT69OlISUlBXFyc3svxWq0WvXr1gkajwdy5czFmzBi9a+7u7nBycmJnRANTq9Xw9fXFrVu3dLPJHrTkDwsLQ2hoKID7D+lyc3MRExOD2NhYWFhYIDk5WfeAiKghY6sbolo0bNgwdO3aFZs2bcKRI0dw5coV3Lt3D7a2tujZsyfGjRuHl19+WeqYRkupVKKiokLvG4MHDh8+jMWLF2PMmDEYOHAgCx6JxMXFQRAEAMCTPpNj0WM4/9UNTBCEGruB/bPzHtU9KysrbNiwAdOmTdObPzZs2DC89957uuPff/8dkyZNgiiKaNq0KZYsWcKChxoNFj1EtczZ2RkLFy6s8XpsbCzKy8vx9ttvGzCVcdNoNHjnnXeQkZGB3r1711j05ObmYsGCBYiLi8Pq1athZWVl+LAEURRhZmYGT09PeHl56WaKUP1RUlKCLl26PHKe3cDqr5dffhmpqanIzMxESUkJOnToACcnJ701tra2aNOmDbp3746QkBA4OztLlJao9rHoITKwb7/9FiUlJSx6DKSqqgqTJ0/GsWPH0Lp162pf2AXudwkzMzPDli1bcOzYMYSGhiImJsbAaWn58uVITEzE/v37sXfvXhw6dAg+Pj7w9/eHp6cnmjRpInVEAruBNVQymQyvvvpqjdddXFw4jJQaLRY9RNSo7dy5E8eOHYNCoUBUVBRatWpV7Tp7e3u8++67GDJkCKZOnYo//vgDu3fvRlBQkIETGzdfX1/4+vqivLwcSqUSiYmJSE1NRUJCAlq2bIn+/fsjICAAvXv35hZECT1LN7DOnTsbJCMR0cP4iUFEjdqePXtgamqKr7/+usaC52HPP/88li5dCgD46aef6joe1UAulyMgIAArV67Eb7/9hoiICHTr1g27d+9GSEgI3N3d8b///Q9HjhyROqpRYjcwImpo2L2NyMAeTJPPycmROopR6NWrF9q1a4dt27Y90X1vvPEGCgsLcejQoTpKRk+jrKwMqampSEpKwuHDh3Hv3j3Y2Nhg4MCBCAgI4AwsA2E3MCJqaLi9jYgaNY1GAzs7uye+74UXXkB2dnYdJKJnYWFhgREjRmDEiBFQq9XYu3cv1q9fj5iYGGzdupU/MwNhNzAiamhY9BBRo2Zra4tr16498X3FxcWQy+V1kIhqQ05ODlJSUpCamor8/HwAQLNmzSROZVzYDYyIGhIWPUTUqDk7O+OPP/7AzZs30bJly8e659atWzh16hRcXFzqOB09iaysLF2hU1hYCFEUIZfLMXDgQAwaNKja90iobrEbGBE1FCx6iJ7S07acVqvVtRuE/tXgwYNx4MABREVFYcaMGY91T1RUFCoqKuDp6VnH6ei/HD9+HCkpKUhJSUFRURFEUUSzZs0wYMAADBo0CN7e3vyGh4iI/hMbGRA9JTc3t6e+VxAENjIwkLt37yI4OBgXL15EaGgo3nnnnRpnvWi1WqxduxbLly+HpaUlkpKS+P6BBDIyMpCSkoK0tDRcvXpVV+j06dMHfn5+8Pb25tZDIiJ6Iix6iJ5SXFzcM90/dOjQWkpC/yU3NxejR49GRUUF7Ozs0L9/f3Tp0gU2NjbQarW4ceMGTp48if3796OoqAhmZmbYuHEjO4FJwNPTE8XFxQAAMzMz9OnTR7d1rXnz5hKnIyKihopFDxEZhYsXL2LGjBk4deoUBEF45PqD/wp79OiB+fPnw9XV1dARCfe/QRUEARYWFvDw8HiiQkcQBCxcuLAO0xERUUPFooeIjEpGRgaSkpKQn5+P69evQyaTwdbWFp07d0a/fv2gUCikjmjUuG2UiIjqAoseIiKqN7htlIiI6gKLHiIiIiIiatRMpA5ARERERERUl1j0EBERERFRo8aih4iIiIiIGjUWPURERERE1Kix6CEiIiIiokaNRQ8RERERETVqLHqIiIiIiKhRY9FDRERERESNGoseIiIiIiJq1Fj0EBERERFRo8aih4iIiIiIGjUWPURERERE1Kj9H9C051gH2Gb/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 309,
       "width": 414
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "River_5Yrcorr=River_5Yr.loc[: ,[\"Le_CrociAvg\", \"CavallinaAvg\", \"MangonaAvg\",'S_AgataAvg','S_PieroAvg']].corr(); \n",
    "sns.heatmap( data=River_5Yrcorr, annot=True );#  columns= CavallinaSum Le_CrociSum  Le_CrociStd CavallinaStd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "id": "Cgnwb0T3Ynjz",
    "outputId": "8e4eb62c-96d9-4c52-c644-36f07535439d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1296x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 391,
       "width": 1068
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(4,1,  figsize=(18, 6), sharex=True) #, squeeze=False  \n",
    "\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"Le_CrociAvg\"],data=River_5Yr, ax=ax[0])\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"Le_CrociAvg\"]+River_5Yr[\"Le_CrociStd\"],data=River_5Yr, ax=ax[0])\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"Le_CrociSum\"], data=River_5Yr, ax=ax[3]) # ax=ax\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"CavallinaAvg\"],data=River_5Yr, ax=ax[1])\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"CavallinaAvg\"]+River_5Yr[\"CavallinaStd\"],data=River_5Yr, ax=ax[1])\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"CavallinaSum\"], data=River_5Yr, ax=ax[3]) # ax=ax\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"MangonaAvg\"],data=River_5Yr, ax=ax[2])\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"MangonaAvg\"]+River_5Yr[\"MangonaStd\"],data=River_5Yr, ax=ax[2])\n",
    "sns.lineplot(x=\"Date\", y= River_5Yr[\"MangonaSum\"], data=River_5Yr, ax=ax[3]) # ax=ax\n",
    "plt.xticks(rotation=90); plt.grid(visible=True,) #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2004-01-01\" ),pd.to_datetime(\"2019-12-31\" ) ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fl_sjkLMYnjz"
   },
   "source": [
    "There seems a trend that the std of the yearly rainfall has been increasing, but maybe this is merely caused by more rain that has fallen in the last 10 years. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "f9ncxfLpYnj1"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "I5vsD138Ynj1"
   },
   "source": [
    "### Timeframe with 'complete' rainfall data\n",
    "I'll make here some aggregated data to check my insights based on the study of topography maps and the provided data. \n",
    "\n",
    "#### period 2004 July 2008"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "id": "Vswe8TxbYnj1",
    "outputId": "45051667-e5c2-4cf9-af0d-b8010740449c"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>Rainfall_X</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>winteroverflow</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-02-13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.28</td>\n",
       "      <td>0.87</td>\n",
       "      <td>5538.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-03-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.25</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1.17</td>\n",
       "      <td>5915.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-03-21</th>\n",
       "      <td>16.6</td>\n",
       "      <td>14.8</td>\n",
       "      <td>10.2</td>\n",
       "      <td>19.4</td>\n",
       "      <td>8.6</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.4</td>\n",
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       "      <td>1.6</td>\n",
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       "      <td>18.8</td>\n",
       "      <td>8.6</td>\n",
       "      <td>3</td>\n",
       "      <td>2006</td>\n",
       "      <td>12</td>\n",
       "      <td>18.8</td>\n",
       "      <td>-5.6</td>\n",
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       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2006-02-13                0.0                 0.0               0.0   \n",
       "2006-03-19                0.0                 0.0               0.0   \n",
       "2006-03-21               16.6                14.8              10.2   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  Rainfall_Vernio  \\\n",
       "Date                                                              \n",
       "2006-02-13               0.0               0.0              0.0   \n",
       "2006-03-19               0.0               0.0              0.0   \n",
       "2006-03-21              19.4               8.6             25.0   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
       "2006-02-13            0.0               0.0              0.0   \n",
       "2006-03-19            0.0               0.0              0.0   \n",
       "2006-03-21            5.0               6.4              2.8   \n",
       "\n",
       "            Rainfall_Montevarchi  Rainfall_S_Savino  Rainfall_Laterina  \\\n",
       "Date                                                                     \n",
       "2006-02-13                   0.0                0.0                0.0   \n",
       "2006-03-19                   0.0                0.8                0.0   \n",
       "2006-03-21                   1.6                4.2                2.2   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  Temperature_Firenze  \\\n",
       "Date                                                                     \n",
       "2006-02-13                0.0                 0.0                 5.00   \n",
       "2006-03-19                0.2                 0.0                 9.25   \n",
       "2006-03-21               17.6                10.0                12.00   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  Tetens  Rainf365  RainNO_3  RainNO_2  \\\n",
       "Date                                                                          \n",
       "2006-02-13                       1.28    0.87    5538.8       0.0       0.0   \n",
       "2006-03-19                       1.79    1.17    5915.0       0.0       0.0   \n",
       "2006-03-21                       1.83    1.40    5991.4      50.8      18.8   \n",
       "\n",
       "            Rainfall_X  month  year  week  Rainfall  winteroverflow  \n",
       "Date                                                                 \n",
       "2006-02-13         0.0      2  2006     7       0.0           -56.4  \n",
       "2006-03-19         0.8      3  2006    11       0.0           -56.4  \n",
       "2006-03-21         8.6      3  2006    12      18.8            -5.6  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"2004\":'2008'].sample(3)"
   ]
  },
  {
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    "id": "8oTNq7GEYnj1",
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       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2004-01-01                0.0                 0.0               0.4   \n",
       "2004-01-02                0.0                 0.0               0.0   \n",
       "2004-01-03                0.0                 0.0               0.0   \n",
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       "2004-01-05               0.0               0.2              0.0   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
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       "2004-01-02            0.0               0.0              0.0   \n",
       "2004-01-03            0.2               0.0              0.0   \n",
       "2004-01-04            0.0               0.0              0.0   \n",
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       "\n",
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       "Date                                                                     \n",
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       "2004-01-02                   0.0                0.2                0.0   \n",
       "2004-01-03                   0.0                0.0                0.0   \n",
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       "2004-01-05                   0.0                0.0                0.0   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  Temperature_Firenze  \\\n",
       "Date                                                                     \n",
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       "2004-01-03                0.4                 0.0                 5.50   \n",
       "2004-01-04                0.0                 0.0                 3.55   \n",
       "2004-01-05                0.0                 0.0                 2.70   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  \n",
       "Date                                   \n",
       "2004-01-01                       1.84  \n",
       "2004-01-02                       1.93  \n",
       "2004-01-03                       1.61  \n",
       "2004-01-04                       1.35  \n",
       "2004-01-05                       1.44  "
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_14F= River_Arno[\"2004\":'2008'].iloc[:,0:16]; River_14F.head()"
   ]
  },
  {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-12-31</th>\n",
       "      <td>2.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1827 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2004-01-01                0.0                 0.0               0.4   \n",
       "2004-01-02                0.0                 0.0               0.0   \n",
       "2004-01-03                0.0                 0.0               0.0   \n",
       "2004-01-04                0.0                 0.0               0.0   \n",
       "2004-01-05                0.0                 0.0               0.0   \n",
       "...                       ...                 ...               ...   \n",
       "2008-12-27                0.0                 0.0               0.0   \n",
       "2008-12-28                0.0                 0.0               0.0   \n",
       "2008-12-29                0.0                 0.0               1.8   \n",
       "2008-12-30                0.0                 0.0               0.0   \n",
       "2008-12-31                2.2                 3.4               2.8   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  Rainfall_Vernio  \\\n",
       "Date                                                              \n",
       "2004-01-01               0.0               0.0              0.0   \n",
       "2004-01-02               0.0               0.0              0.0   \n",
       "2004-01-03               0.0               0.0              0.0   \n",
       "2004-01-04               0.0               0.0              0.0   \n",
       "2004-01-05               0.0               0.2              0.0   \n",
       "...                      ...               ...              ...   \n",
       "2008-12-27               0.0               0.0              0.0   \n",
       "2008-12-28               0.0               0.2              0.2   \n",
       "2008-12-29               0.2               0.0              0.0   \n",
       "2008-12-30               0.0               0.0              0.0   \n",
       "2008-12-31               5.6               0.0              6.0   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
       "2004-01-01            0.0               0.0              0.0   \n",
       "2004-01-02            0.0               0.0              0.0   \n",
       "2004-01-03            0.2               0.0              0.0   \n",
       "2004-01-04            0.0               0.0              0.0   \n",
       "2004-01-05            0.0               0.0              0.0   \n",
       "...                   ...               ...              ...   \n",
       "2008-12-27            NaN               NaN              0.0   \n",
       "2008-12-28            NaN               NaN              0.0   \n",
       "2008-12-29            NaN               NaN              0.0   \n",
       "2008-12-30            NaN               NaN              0.0   \n",
       "2008-12-31            NaN               NaN              0.0   \n",
       "\n",
       "            Rainfall_Montevarchi  Rainfall_S_Savino  Rainfall_Laterina  \\\n",
       "Date                                                                     \n",
       "2004-01-01                   0.2                0.0                0.0   \n",
       "2004-01-02                   0.0                0.2                0.0   \n",
       "2004-01-03                   0.0                0.0                0.0   \n",
       "2004-01-04                   0.0                0.0                0.0   \n",
       "2004-01-05                   0.0                0.0                0.0   \n",
       "...                          ...                ...                ...   \n",
       "2008-12-27                   NaN                NaN                NaN   \n",
       "2008-12-28                   NaN                NaN                NaN   \n",
       "2008-12-29                   NaN                NaN                NaN   \n",
       "2008-12-30                   NaN                NaN                NaN   \n",
       "2008-12-31                   NaN                NaN                NaN   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  \n",
       "Date                                               \n",
       "2004-01-01                0.0                 0.0  \n",
       "2004-01-02                0.0                 0.0  \n",
       "2004-01-03                0.4                 0.0  \n",
       "2004-01-04                0.0                 0.0  \n",
       "2004-01-05                0.0                 0.0  \n",
       "...                       ...                 ...  \n",
       "2008-12-27                NaN                 NaN  \n",
       "2008-12-28                NaN                 NaN  \n",
       "2008-12-29                NaN                 NaN  \n",
       "2008-12-30                NaN                 NaN  \n",
       "2008-12-31                NaN                 NaN  \n",
       "\n",
       "[1827 rows x 14 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_14= River_Arno[\"2004\":'2008'].iloc[:, 0:14]; River_14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "id": "e2VSWmd1Ynj2",
    "outputId": "73955203-f1f1-4bdf-e6ae-9ea8772e2bb0"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Le_CrociAvg</th>\n",
       "      <th>Le_CrociStd</th>\n",
       "      <th>Le_CrociSum</th>\n",
       "      <th>CavallinaAvg</th>\n",
       "      <th>CavallinaStd</th>\n",
       "      <th>CavallinaSum</th>\n",
       "      <th>MangonaAvg</th>\n",
       "      <th>MangonaStd</th>\n",
       "      <th>MangonaSum</th>\n",
       "      <th>S_AgataAvg</th>\n",
       "      <th>S_AgataStd</th>\n",
       "      <th>S_AgataSum</th>\n",
       "      <th>S_PieroAvg</th>\n",
       "      <th>S_PieroStd</th>\n",
       "      <th>S_PieroSum</th>\n",
       "      <th>Vernio_Avg</th>\n",
       "      <th>Vernio_Std</th>\n",
       "      <th>Vernio_Sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-01-01</th>\n",
       "      <td>3.05</td>\n",
       "      <td>6.87</td>\n",
       "      <td>1117.4</td>\n",
       "      <td>2.92</td>\n",
       "      <td>6.71</td>\n",
       "      <td>1067.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>7.87</td>\n",
       "      <td>1239.8</td>\n",
       "      <td>2.21</td>\n",
       "      <td>5.12</td>\n",
       "      <td>810.4</td>\n",
       "      <td>2.39</td>\n",
       "      <td>5.33</td>\n",
       "      <td>873.8</td>\n",
       "      <td>3.47</td>\n",
       "      <td>9.20</td>\n",
       "      <td>1268.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-01</th>\n",
       "      <td>3.06</td>\n",
       "      <td>7.77</td>\n",
       "      <td>1116.2</td>\n",
       "      <td>2.69</td>\n",
       "      <td>7.23</td>\n",
       "      <td>982.0</td>\n",
       "      <td>3.07</td>\n",
       "      <td>7.71</td>\n",
       "      <td>1120.2</td>\n",
       "      <td>2.97</td>\n",
       "      <td>7.39</td>\n",
       "      <td>1085.6</td>\n",
       "      <td>2.57</td>\n",
       "      <td>6.61</td>\n",
       "      <td>939.8</td>\n",
       "      <td>2.86</td>\n",
       "      <td>7.44</td>\n",
       "      <td>1043.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01</th>\n",
       "      <td>2.56</td>\n",
       "      <td>7.64</td>\n",
       "      <td>934.0</td>\n",
       "      <td>1.78</td>\n",
       "      <td>5.90</td>\n",
       "      <td>648.2</td>\n",
       "      <td>3.01</td>\n",
       "      <td>9.55</td>\n",
       "      <td>1097.8</td>\n",
       "      <td>2.19</td>\n",
       "      <td>6.58</td>\n",
       "      <td>800.6</td>\n",
       "      <td>2.03</td>\n",
       "      <td>6.21</td>\n",
       "      <td>741.4</td>\n",
       "      <td>2.93</td>\n",
       "      <td>9.46</td>\n",
       "      <td>1068.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-01</th>\n",
       "      <td>2.67</td>\n",
       "      <td>7.38</td>\n",
       "      <td>973.2</td>\n",
       "      <td>1.76</td>\n",
       "      <td>4.95</td>\n",
       "      <td>641.6</td>\n",
       "      <td>2.54</td>\n",
       "      <td>6.83</td>\n",
       "      <td>926.2</td>\n",
       "      <td>1.94</td>\n",
       "      <td>5.43</td>\n",
       "      <td>708.8</td>\n",
       "      <td>1.89</td>\n",
       "      <td>5.10</td>\n",
       "      <td>689.8</td>\n",
       "      <td>2.50</td>\n",
       "      <td>6.99</td>\n",
       "      <td>911.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>2.94</td>\n",
       "      <td>6.42</td>\n",
       "      <td>1074.4</td>\n",
       "      <td>2.44</td>\n",
       "      <td>6.27</td>\n",
       "      <td>894.4</td>\n",
       "      <td>3.49</td>\n",
       "      <td>8.52</td>\n",
       "      <td>1277.4</td>\n",
       "      <td>2.52</td>\n",
       "      <td>5.87</td>\n",
       "      <td>921.4</td>\n",
       "      <td>2.48</td>\n",
       "      <td>5.79</td>\n",
       "      <td>907.2</td>\n",
       "      <td>3.77</td>\n",
       "      <td>9.88</td>\n",
       "      <td>1381.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Le_CrociAvg  Le_CrociStd  Le_CrociSum  CavallinaAvg  CavallinaStd  \\\n",
       "Date                                                                            \n",
       "2004-01-01         3.05         6.87       1117.4          2.92          6.71   \n",
       "2005-01-01         3.06         7.77       1116.2          2.69          7.23   \n",
       "2006-01-01         2.56         7.64        934.0          1.78          5.90   \n",
       "2007-01-01         2.67         7.38        973.2          1.76          4.95   \n",
       "2008-01-01         2.94         6.42       1074.4          2.44          6.27   \n",
       "\n",
       "            CavallinaSum  MangonaAvg  MangonaStd  MangonaSum  S_AgataAvg  \\\n",
       "Date                                                                       \n",
       "2004-01-01        1067.0        3.39        7.87      1239.8        2.21   \n",
       "2005-01-01         982.0        3.07        7.71      1120.2        2.97   \n",
       "2006-01-01         648.2        3.01        9.55      1097.8        2.19   \n",
       "2007-01-01         641.6        2.54        6.83       926.2        1.94   \n",
       "2008-01-01         894.4        3.49        8.52      1277.4        2.52   \n",
       "\n",
       "            S_AgataStd  S_AgataSum  S_PieroAvg  S_PieroStd  S_PieroSum  \\\n",
       "Date                                                                     \n",
       "2004-01-01        5.12       810.4        2.39        5.33       873.8   \n",
       "2005-01-01        7.39      1085.6        2.57        6.61       939.8   \n",
       "2006-01-01        6.58       800.6        2.03        6.21       741.4   \n",
       "2007-01-01        5.43       708.8        1.89        5.10       689.8   \n",
       "2008-01-01        5.87       921.4        2.48        5.79       907.2   \n",
       "\n",
       "            Vernio_Avg  Vernio_Std  Vernio_Sum  \n",
       "Date                                            \n",
       "2004-01-01        3.47        9.20      1268.4  \n",
       "2005-01-01        2.86        7.44      1043.4  \n",
       "2006-01-01        2.93        9.46      1068.4  \n",
       "2007-01-01        2.50        6.99       911.4  \n",
       "2008-01-01        3.77        9.88      1381.6  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_14Yr = pd.DataFrame()\n",
    "# AS is year-start frequency\n",
    "River_14Yr['Le_CrociAvg'] = River_14.Rainfall_Le_Croci.resample('YS').mean()\n",
    "River_14Yr['Le_CrociStd'] = River_14.Rainfall_Le_Croci.resample('YS').std()\n",
    "River_14Yr['Le_CrociSum'] = River_14.Rainfall_Le_Croci.resample('YS').sum()\n",
    "River_14Yr['CavallinaAvg'] = River_14.Rainfall_Cavallina.resample('YS').mean()\n",
    "River_14Yr['CavallinaStd'] = River_14.Rainfall_Cavallina.resample('YS').std()\n",
    "River_14Yr['CavallinaSum'] = River_14.Rainfall_Cavallina.resample('YS').sum()\n",
    "River_14Yr['MangonaAvg'] = River_14.Rainfall_Mangona.resample('YS').mean()\n",
    "River_14Yr['MangonaStd'] = River_14.Rainfall_Mangona.resample('YS').std()\n",
    "River_14Yr['MangonaSum'] = River_14.Rainfall_Mangona.resample('YS').sum()\n",
    "River_14Yr['S_AgataAvg'] = River_14.Rainfall_S_Agata.resample('YS').mean()\n",
    "River_14Yr['S_AgataStd'] = River_14.Rainfall_S_Agata.resample('YS').std()\n",
    "River_14Yr['S_AgataSum'] = River_14.Rainfall_S_Agata.resample('YS').sum()\n",
    "River_14Yr['S_PieroAvg'] = River_14.Rainfall_S_Piero.resample('YS').mean()\n",
    "River_14Yr['S_PieroStd'] = River_14.Rainfall_S_Piero.resample('YS').std()\n",
    "River_14Yr['S_PieroSum'] = River_14.Rainfall_S_Piero.resample('YS').sum()\n",
    "River_14Yr['Vernio_Avg'] = River_14.Rainfall_Vernio.resample('YS').mean()\n",
    "River_14Yr['Vernio_Std'] = River_14.Rainfall_Vernio.resample('YS').std()\n",
    "River_14Yr['Vernio_Sum'] = River_14.Rainfall_Vernio.resample('YS').sum()\n",
    "River_14Yr['2004':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "id": "peuh9zt3Ynj2",
    "outputId": "f4ebb5d0-d003-43ef-bfe7-dceaacf7d75c"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Le_CrociAvg</th>\n",
       "      <th>CavallinaAvg</th>\n",
       "      <th>MangonaAvg</th>\n",
       "      <th>S_AgataAvg</th>\n",
       "      <th>S_PieroAvg</th>\n",
       "      <th>Vernio_Avg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-01-01</th>\n",
       "      <td>3.05</td>\n",
       "      <td>2.92</td>\n",
       "      <td>3.39</td>\n",
       "      <td>2.21</td>\n",
       "      <td>2.39</td>\n",
       "      <td>3.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-01</th>\n",
       "      <td>3.06</td>\n",
       "      <td>2.69</td>\n",
       "      <td>3.07</td>\n",
       "      <td>2.97</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-01</th>\n",
       "      <td>2.56</td>\n",
       "      <td>1.78</td>\n",
       "      <td>3.01</td>\n",
       "      <td>2.19</td>\n",
       "      <td>2.03</td>\n",
       "      <td>2.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-01</th>\n",
       "      <td>2.67</td>\n",
       "      <td>1.76</td>\n",
       "      <td>2.54</td>\n",
       "      <td>1.94</td>\n",
       "      <td>1.89</td>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-01</th>\n",
       "      <td>2.94</td>\n",
       "      <td>2.44</td>\n",
       "      <td>3.49</td>\n",
       "      <td>2.52</td>\n",
       "      <td>2.48</td>\n",
       "      <td>3.77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Le_CrociAvg  CavallinaAvg  MangonaAvg  S_AgataAvg  S_PieroAvg  \\\n",
       "Date                                                                        \n",
       "2004-01-01         3.05          2.92        3.39        2.21        2.39   \n",
       "2005-01-01         3.06          2.69        3.07        2.97        2.57   \n",
       "2006-01-01         2.56          1.78        3.01        2.19        2.03   \n",
       "2007-01-01         2.67          1.76        2.54        1.94        1.89   \n",
       "2008-01-01         2.94          2.44        3.49        2.52        2.48   \n",
       "\n",
       "            Vernio_Avg  \n",
       "Date                    \n",
       "2004-01-01        3.47  \n",
       "2005-01-01        2.86  \n",
       "2006-01-01        2.93  \n",
       "2007-01-01        2.50  \n",
       "2008-01-01        3.77  "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_14Yr.loc[: ,[\"Le_CrociAvg\", \"CavallinaAvg\",\"MangonaAvg\",\"S_AgataAvg\",\"S_PieroAvg\",\"Vernio_Avg\" ]].tail(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "id": "SIxfwBpcYnj2",
    "outputId": "a12baf27-2417-4eac-d734-c601504c942e"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 309,
       "width": 408
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "River_14Yrcorr=River_14Yr.loc[: ,[\"Le_CrociAvg\",\"CavallinaAvg\",\"MangonaAvg\",\"S_AgataAvg\",\"S_PieroAvg\",\"Vernio_Avg\"]].corr(); \n",
    "sns.heatmap( data=River_14Yrcorr, annot=True,cmap='summer' );#  columns= CavallinaSum Le_CrociSum  Le_CrociStd CavallinaStd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "id": "Df_hD8PdYnj2",
    "outputId": "8374a639-1806-4617-dfd6-64064823089c"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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y5JPfqOHnU95VqjDqBtQE4PJJ4xNGr57Sb6/foo5J5bl4OgFw43yI0f0ReWPmfet6Y25pTlZGVrFljXh1ABprS47vPsvJvedM+vyKyK5BDQASzxtv46QLNwBwCKhtUnmOzf0AiDlg/AVQRmQct1ZtLfZ8jY8bNcf2I+12FDd+/huvfpX/Lax9wxoAJJwz3sYJF24C4NjYtPvYqUU9AKL3F9/GN1ZuK7Ldtvbj2YNTI6AGANdP3TC6/8bpmwDUbmHiPe7pCMDtC8bnmUSH6OfiedXxRG2pJjsjuxS1rdg09WoBkH7Z+LzE9CvXALBqUM/kMi18SxfgpF8OLvbzASxr1wAgKyKq2GOEKE6VD3B++OEH5s6di5OTEx999BHdu3dHUSDh+ObNm3nrrbf48ssvsbe3Z/jw4eVYW72ePXvSpEkT7OzsCm2fOXMm4eHhvPrqq7z00kuo1WrDvtu3bzN58mQOHz7M//3f/xnt/RGP1pXTN5g6aA43Lpo+KfNx4VHdDYDo0Fij+2PyMqg5utpjaWVBRpppvShKM+Od0GZqFQAqlRJnDwdDwHMvr1oedBvaHp1Ox6r/22DSZ1ZUVt6uAKRHGM98lJ6XQc3CyR6VxsIwvKo4NnmT2NNuRaCytsSrb1scAuqi0liQeiuC8E37Sb1V/A/shjOfRak24+JXq9FVkfkLVt4uAKQV08YZkXlt7GyHSmNOTnrxgTXcbeOUW5GYWVvi3bcNjk3q6Nv4ZiS3Nx0w2sb5Q9QyIuPwHdQBp+Z+qG2tyIhJIGrvKWIOnH3ga6zIXH319/idMOPtH5f3HLF3scNCY07mfdo/X3HPEVXedqVKiaO7A9G3KmfyEWPUHu4AZEcbv6b8ZABmjg4oLC3IzSj5eaF2d0OpsUQbn4CZvR32Tz6BRc3qQC6ZN2+TsGMP2SYGKkoba1yGDcS6iT/apGQSHoMkA7IOTtmr0gHOxYsXmT9/PpaWlvzyyy/UrVu3yDFPPPEEWVlZvPnmm3zzzTcMGjQIc3PzcqjtXba2ttja2hbaFhoayvHjx6lRowaTJ08uco6vry9ffPEFAwcOZP369bzzzjuFAjnx6F06ea28q1Bh2TnaAJCckGJ0f0ri3SESto429w1wokNj8a3jRfV63lw+UbTdfWp7Gv63jZ11seX0f647KjMVx3edIeSK6dnFKiK1g76Ns5OMt3HBYWtqe+sSAxyluRnmjvpnkIWbI83mTsXS1dGw37lVA3ye7Mzleb8R/veBIuf7DOmCQ0AdwjbuI+F05U4JXZC5vb5NspNSje7PTr67XW1vQ0568Wm5leZmWOS1saWbI63mvoql2902dmnVAN/Bnbg4bw2hfx0sdG5+YOT/9rOYWRXurffuE0jM4fOc/mDZfQOsysbGSX+PpyQYb/+0As8Ra0cbMktof9AHSp61PfGu68X1k0V7hTwLPEes7KwepMoVlpmd/t7LSTb+vMgpMGzNzNaW7PsEOPnD05RWGmp+/QkKlcqwz6ZZAE79exO1bAUJ23YXW4ZNy6a4PvsUak83lGo1GbduEzF/MTkJiaZelhAG5Z5k4PTp00yaNIk2bdrQuHFjevfuzbx580hJMf6PrjRWrFiBVqvlmWeeMRrc5Bs4cCCtW7cmMDCQqCj9G4bQ0FD8/PyYMmUKmzZtolOnTgQEBDB06FCys/Xd1FqtlpUrVzJkyBCaNm1Ks2bNGDZsGKtWrUKrNf7G8uDBg7z88su0a9eOZs2aMWjQIJYvX05W1t0vImNzcOLi7r9+hZ+fH8OHD2fAgAGkpd39MdOtWzf8/PyIjCz6JvDdd9/Fz8+PDRvuvr1esGABfn5+7N27l23btjFs2DCaNGlChw4dmDNnDunp6eTk5LB48WJ69epFkyZN6N+/P2vWrLlvHcXjydxS/9Igq5ghHgWHkJlbqI0eU9Dx3fo31ANe6IWZuvB7GoVCwcBxvQz/nd+bcy8rWw0dB+jHl/+5rOgwoMpGlfdiRpdpvI1zMu+2sfI+L3FUmrs/mv3fewFdZjYnZy5kV68p7B/+DiFr/0VppqL+tKdxbFZ4CIulhxO1JwwkIyaBqz/88aCXUyGp8u7N4ts4u8ixxZZVoI2bvD+WnKxsjs/4lu09X2P3sFncXLsTpZmKhtNG4lSgjS3dHFHb6n9sp4XFcmz6Qnb0nsbO/jM5+9kKshJTcW3TCP+3nn3g66yo8p8N2cW0f1aB7eaW93+OnNtzHoDuY7sbfY70GNvN8N8qddV6H6zIewbkZhkPggtuV5jfvy3zM6gpLSxI2L6H65Pf5NJTL3Bt0kzit+5EoTbD/cXnsG5RfAIIi5rVsajmjTJvdIqZgz02LZqaekmVmiQZKHvl+i92w4YNzJo1i9zcXPz9/fH09OTMmTMsWrSInTt3smLFChwcHB6o7JycHLZt0/9o6dev5HS9SqWSFStWGN134cIFduzYQUBAAHXr1sXa2hq1Wk1mZibjx48nKCgIa2tr2rTRZ7k5cuQIc+bMYefOnXz//feFeoN++OEH5s2bh1KppEWLFtjZ2XH8+HE+/fRTgoKCWLBgAUql8ZizRo0aWFhYcPPmTT7++GNeeeUVnJycihz38ccfm9Q+pli5ciV79uzB39+ftm3bcvToUVatWkVsbCxKpZKdO3fSvHlzvL29OXz4MO+//z5arZZRo0aVWR1E1aDL0aFSFf8+RVHgvjclTcZfP++g29D2eFZ3492lU/jlP+sIuRqOu68Lo6YPwaO6G5npWVhozNEamTwM0HVIOzTWlgSfvcmFo1dKe0kVTq5Oh6KkNi7Uo1tyKysL/KBRWVpw9OUvyIjUDwvKjEng6ne/o3a0xbNna2pPGMSxV740HF//jVGYaSw5//HP5KRW/sQCBZWqje9zI6vM7379qiwtOPzSV6QXaOPL327A3MEGr16tqTthgCEddG5uLjd+3YHazopLC9YbemlyMrII/+cIqTcjCfxuOh5dmnOz4U4S8+YFVQU6nQ5lic+Ru+1vSr6df3/ZRdvBbXCr5sqkRRP5/cs/CA8Ox8XHhSdfH4hrNVey0rMw15gbTUJQqel0UEJboijd+++M6zeJ37qTzJAwErbsMGzPjogi6oflkJOD4xM9cXtuJDeOnzZaRuKOPcRt3ILKxhrbwBa4jhqO6zNDMXO0J2qJ8d9oVcXjHYo8GuUW4Fy7do33338fKysrfvjhB1q00Gf2yc7O5qOPPmLNmjV89NFH/N//PViO/5iYGJKTk1Gr1TRo0OCB63n79m3Gjh3L22+/DegfsABz584lKCiIZs2a8d133xmCjTt37vDSSy+xf/9+5s+fzxtvvAHA2bNn+frrr7G3t2fZsmX4+/sDkJyczOjRo9mxYwf//PMPTzzxhNF62NnZ8eKLL7JgwQJWrFjB6tWradq0Ka1bt6Z169Y0b968zBML7Nmzh08++YRhw4YBcOnSJZ588km2bt2Kvb09GzZsoE4d/WTatWvX8t5777F27VoJcEQRmen6NW+K651RF/ixV1JCgHwJMYl8PnEhb30/mcZt6vPlf++u2J6emsHX05Yw8ZPnsNCYk55i/Ed2m976Z86+TUdKcykVVk5GFkq1WaHgpKCC24vrgTDsL/D2NnLbEUNwU9Ctlf/g2bM19g1ronawITshBa9+7XFu2YCoXceJLSY5QWV2t42Nf3UW3F6wx8xoWVl3/w7CtwUZgpuCrq/chlev1jg0qom5gw1ZCSlkxiRwZdF/iy038dIt7hy/jEvrBri2a1ylApystCzM7M0KPS8KUhfoZck24TmSFJvEolcX8/LCl/ALrMc769807MtIzeDHGT/z7JxnMNeYk1HMc6Sy0mVmolKboVAbf14oCrSlrphenoJSj58mtZjABSD29004PtETCx8v1J7uRufjaOMT9P8/M4v4zTvIvhOPz5tTcOjVjbi/tpk8h0cIKMchasuXLyc7O5spU6YYghsAtVrNrFmzcHd3Z/PmzYYhY6UVHa2fVOzg4IBKZXyIiqnGjBlj+N9KpZKMjAx+++03zMzMmDdvXqGeFGdnZ+bNm4dKpWLVqlVkZurHra5ZswadTserr75qCG5AP99m+vTp1KxZk/Dwkldfnjx5Mu+//z729vbk5ORw/Phxvv/+e55//nlat27NpEmTuHDhwkNda0H+/v6G4Aagfv361K6tz04zZswYQ3AD0Lu3fiG/kBDjWa3E4y05b8y8jYPx+TAFtyfFmTY89fLJ60zt+z5r5m/kxJ6znNhzlvXf/83r/T7g5N5zWNtqAIiPKTp+29bRhnpNa6HT6Ti05XhpL6dCyp97kz986V7qAnOR7rfKvTY1g9y8lzkF178pKC00Gl3eW22NhzMWLvbUmTiY7KRUrsxfW+r6VwbZeXM81MXM6yrcxiXfxwXbOPma8Wf/vW1squRgfXpdjbvjfY6sXPLn6lnZG29/6wLPkeR4054j10/dYM6Aj/nr282c23uec3vPs+WHf/ho0Kec33cBTd5zJDG2as0DyZ97o7KxMbpfZXt3e05iyc8Lkz4vPhFt3lwatatp93LKkeNkhkWgUClLlc2tMpI00WWv3HpwjhzRvzUNDCyaY93c3JzWrVuzadMmjh07dt8hZsaYmekvLX++zIOys7PD29u70LZz586RkZFBixYt8PT0LHKOr68vjRs35tSpU5w9e5aWLVsSFKRf6btr165Fju/YsSP//POPSfUZNWoUQ4cOZf/+/ezbt4+goCCuX79OZmYmO3bsYNeuXcyaNYtnnnnmAa62sKZNmxbZ5uio/8KsX79+oe35Gd/yAzohCgq/HolndTdcvY1/sbl66bfHRSeY1IOTLyk+hXXf/lVke61G1VCZqbgTFU/qPetlADTr5I9KpeTi8WDiohNM/ryKLC0kCitvNyyL+SFs6a5/EZMZm3DfHpxcbQ7pEXcMmdmMHpObaxgHpNPm4NSyAWobfXDV8Y/Piz2vxdevA3D957+58fPfJdajokkJicLKxxWNR9HhwQCavDbOiE0s+zbOKTxESqE2I7e4xVPzftnoqtiwqqgbUbhVc8XZ23j7O3nptydEJ5YqpXNKfAqbv99SZLtvQ19UZioSohJITyq6TktllhUWgbmnO2o3F6P71a767dlx8cXO0ylCpYJcHeiKGR+YN4QzN+++VJirUXu4oUtNQ3sn3ugp2RFRWHh7orK3M7pfiOKUWw9O/oT3gQMH4ufnV+TPpk2bAIiIeLCFzFxd9V8aSUlJ5OQ8+EP+3lTNcLd36N7ApyAfH31GkdhYfarFmBh9KkYPD48Hrks+S0tLevTowYcffsiWLVvYv38/n376KfXq1SMnJ4ePPvqIq1cfPnORvb19kW35Y8zvnRslGdtESa6duwVAvSY1je6v11S/JsPV08bXt7hXgxZ1GPB8T8P6Ovdq0SUAgAtBxufW5H/e+aDLJn1eZZB0Wd97at/QeJvY5W1PvHjTtPIu6Y+z9atudL+luxNKtRm5OToyIu+QFZdEwtngYv/k/9hOuR5GwtlgMqLunzilorlfG9s3Kl0bJ17S/7uwr1/N6H5NgTbOT/9d98WB9Pz3G5p/+lKx5drW0X//lJTGuzIKyVv3qmbeejj3yt9+8+xNk8qr3bw23Z/rRo3Gxu/xxp31oy2uHK06mQDzZVzTP2s19YyvGZS/PeOq8TWf7lV78Vzqr/sR23bGFwY1c3TALC9IyQrV91h6vDKOWl9/ivPg/sWWa+akf6maP3ytqlIoFI/kz+Os3AKc/KCjf//+DBgwoNg/1asbf/Dcj4uLC+7u7uh0Os6du//ifZs3b2bVqlXcvl14DRNjk/5zTZi9mH99+UkGisuqZqpbt25x+PBho9nlXF1dGTp0KL///jstWrRAp9OxefNmk8rNn1NkTH4vmBAP68j2EwC06tEMG/vCQ6iUSgVdBrcFYO9G0+bD1G1Sk+feGk7/sT2K7NNYW9JrZGcAtv66x+j5NRvoM/4Ut1BoZRSz9xQArh2aYHbvMDWlAq8++kQokduDTCovapf+78ytczMsXIq+7PB5Ut/G8aevok1J507QBY6/OrfYP9pU/Rvwy/PXcvzVuURsOfQgl1muovLa2K1DQNGhgEoF3n30P+4ith01qbzInfo2du/c1GgbVxvcCYC4vDYGSA4OQ2mmwrFJHSyNDEGzre2Nc3M/cnN0RO05ZVI9KotTO/RzPJp0CyiStlmhVNDmSX37B20yrf1rBlRn6IzBdBtTdGSFpbUlHZ/SL067b83+h6l2hZR8WD8016Z1c5Q29wz5Uyqw79oBgKQ9B+891aj8xT3tuxhf0NdpUB8A0s5dJCcp2fC/AWzbt0ZpZA6xpn5dLGtVJzdbS+rpyrsIsygf5RbguLnpF/6bMWMGX331VbF/evbs+UDlKxQKunXTp3jMz6ZWkm+++YY5c+awY8eO+x6bX/fQ0NBij8kPlFxc9N28+T1KxuYUabVaVq1axcGDxT9I5syZw3PPPcehQ8X/KDA3N2fgwIEAJCbeHS+cH8UbC7KSkpKKLU+IsnLrchjHd53B2lbD9PkvG+bcqM3NePnjMfjW8SLseiRB208WOs/W0QavWh64+xYexhO04xTZWdm07duC9v1aGbY7uNgx87tXcHSz5/jus1w6bnyV7Op++jfct4NLnvdWmaRcDyP20FnMbDQ0/nACZnnzQZTmZjSY8SzWNTxJDYkkZl/hicBqe2usqrmj8So8VCX2wBkSzl3HzMqSJp+9Umi/W9cW+A7WBzg3V5o2vLYqSLkeTvTBc6htNDSZM84w50Zpbob/zFHY1PAk5VYkUUba2NpIG0cfOEt8Xhs3/8/LhfZ7dG1uCHCur9hq2B617zRpoTGoLNQ0nTO+0Nwcu/rVaPbpSyhUSm7/ua/YRV8rq7Ar4Zzdcw6NrYYJ88ZhnfeyxMzcjGc/fAbP2p5EXo/i9L+FE1xYO1jjXtMdF9/C7X/63zNkZ2XTvHczWva9OxfYztmWl+ZPwN7VnnN7z3PtpGm9GJVJ5q3bpBw7hcraCu8Zkw1BjkKtxuOVcVj4epMZGk7ykcJzFFW2Nph7e6J2dyu0Pe5P/RA/m+YBuI4aDmZ5c5+VCpwG9cWxf29yc3KIXnF3fl7S3kNkx8RiZm+H14xJqBzuBvmahn54z9Cv+Re36R9y4qvWHKh7yRycsldur+hbtmxJWFgYe/bsYcSIEUX2jxs3jpSUFN59910CAgIe6DNGjx7N+vXrWbFiBcOGDaNmTePDCtauXcvNmzexsrJi0KBB9y3X398fjUbDmTNnCA8Px8vLq9D+kJAQLly4gK2trWGuSrNmzQgLC2Pv3r2MHDmy0PEnTpxgzpw5dO7cmXbt2hn9zKZNm7J//35+/fVXevToUWzX440b+m7nggkArKz0XwKxsbGGoXOg72U6e7ZqrngtKp4fZq/k47ozadymPot2/Yew6xG4+bhi62BNalIaX0z6rkjvaN9RXXnq1QFEh8bySvd3DNsjQ2L45fP1jHvvaV6fO4Fnpg0mLSkNnzqeqM3VXDt3k6+nLTFaDysbDZZWFgCkJBadn1OZXZr7Ky0WeOHU3I8Oaz4mNSQSjacLajtrslPSODNrcZH8uT6Du1BrbD/SI+9wcOTdbHTk5nLugyU0mzsV27q+tFkxm9SbkZhpLAw/xK8t20j8iaozzM8UF+b+hm3N13Fu7kentXNIvRWFlZezvo2T0zj13pIibVxtcGfqPP8E6RF32Dty9t0dubmcnr2MlnNfxa6uLx1WvEfqrUhUGgus8tr46tJNxJ24O9QyN1vLqfeX0uL/JmNfvzodVr1P2u1oUCqwqa4fAh198CyXvt1AVfTrnDV4/eKJX2A9Pt4+h8gbUbj4OGNtb01aUhqLX1tS5DnS5ZlO9HvlCe6E3eG93h8YtsfcjuWPr/7LU+8M54UvxzJw6gDSk9PwqO2B2lzNrfMh/Djj5//tBf4PRf7wM9WrvYt144bUWTyPzNBwzN1dUdnakJOaStjn84vcy45P9MBlxGCyo2O49vIbhu1pZy4Qs2odrqOG4zy0Pw59upIVEY3a1RkzeztytVoivvux0JC33KwsQv/zDb7vz8CmWQC1f/g/ssIiUFpYYO7pDkDi3oPErF7/v2mQcvS4ByOPQrn14IwePRqlUsncuXM5duyYYXtubi4LFy5k//79hIaGFpnMXhq1a9dm3LhxZGZmMmrUKHbt2lXowafT6diwYQNz5swBYPr06UbXlrmXRqPhqaeeQqvVMm3aNOLj706Oi4uLY9q0aeh0Op566inDELWnn34ahULBggULCA6++1Y5MTGR//znPwCG3hdjRo0ahYODAwcOHGD69OmGOT35cnNz+f3331m1ahXOzs6FyqpXT599ZMWKFYbr1+l0zJ0794Gz1AlRWnFRCcwc+gl///IvSXHJVKvngy4nh32bjvDmsE8Ju166+QJbVu7ii0nfcT7oCnaONvjU8STiZjSr5/7Be898SXoxa7AUzNiWlly1Jg5nxiQQ9OJ/uL1+F1mJKdjU8iY3R0fkjqMcfelz0kJK18aZsYkETfiMa8s25SUxcEVlZcGdoPOcnLGAmysen96bfJkxCRx68Qturd9FdkIKtrW90OXoiNhxjMMvfUnqrdI9UzNjEzk04XOuLvuL1Lw2NrOyIPbIBY698W2h3pt8ydfCOPjCp9xcu5P0yDtYebtg4WRH/Jlgzv5nJSff/sEwkbuqSYhK4D9PfcGulbtJiU/Bu54XOq2Oo38f4/ORXxF5vXTtv3v1Xn6YuoSrR69i42iNR20PYm7F8Oc3m5g75msyqthaTgVp78Rz443ZxP21jZykJCyr+5Kr05G49xA3Z35IVljp5kDf+f0vQt7/jOSgE+Rqc/TlaXNI3HuQmzM/IGn3gSLnZN4I4ea094j7axvaO/FYeHuhsrEm9fR5wr5cQMTXPxSftECIEihyTZlQYqINGzbw9ttvo1arjU5Qzzd16lSeeuopfv75Z8OP+4YNG+Lt7c2VK1e4efMmlpaWLFu2jJYtWz5UnXJzc/nqq69YunQpoE8MUK9ePVQqFefOnSMyMhKVSsXkyZN55ZVXDOeFhobSvXt3qlWrxvbt24uUm5GRwfjx4zl69Cg2Nja0aqUfJhMUFERqaiodOnQostDnwoULWbBgAWq1mtatW2Nubs7JkydJSEhgwIABfPXVV4XacdiwYXzyySeG88+cOcMrr7xCTEwMKpWKxo0b4+7uTlZWFufOnSMmJgZnZ2cWLVpUqNfr1KlTPPvss2RnZ1O7dm3q1KnD+fPniYqKokePHmzZsoXPPvuMIUOGALBgwQIWLlzI1KlTC7UJ6APToKAgVq1aVeTvxs/PD5VKVaapqvP1rzOuzMsUhVk+ZDp1cX8TPWVe26OmzS2393aPlT/vyDvnR21KPRlC/r9Qf8Py8q4C4xpOeiTlLrvw7SMptzJ4JN+22dnZhuxhxqSl6YeFjB07loYNG/LTTz9x8uRJrl69ioeHB4MHD+all14qdkhZaSgUCmbMmEGXLl1Yt24dJ06c4MCBA+Tm5uLu7s6QIUMYM2ZMqRcDtbS05Mcff2T16tVs3LiRQ4cOoVarqVevHkOHDmXo0KFFEhRMnjyZhg0bsnz5ck6fPk1mZiY1a9Zk4sSJjB49+r6fGRAQwD///MOvv/7K3r17uXHjBufPn8fS0pJq1aoxcuRIRo8eXSS4bNq0KcuXL+fbb7/l5MmTREZG0qxZM+bNm8f58+fZsqVoekwhhBBCCCEqozLtwRHiUZEenEdPenAePenBefSkB+d/Q3pwHj3pwfnfqAg9OOMfUQ/OUunBEUIIIYQQQvyvPeZL1jwSlSLAeeONN+5/UAFOTk6888479z9QCCGEEEIIUaVUigBn06ZNpTre29tbAhwhhBBCCCEeQ5UiwLl8+fFaZ0EIIYQQQoiK6uDBgyxatIjLly+TnZ1No0aNmDBhAp06dTK5jB07drB8+XLOnz+PUqmkbt26jBo1iv79+z90/WQ2phBCCCGEEOVE8Yj+71HZsGEDzz//PCdPniQgIIBmzZpx8uRJJkyYwJo1a0wqY+7cuUyaNImgoCB8fX1p2bIlt2/fZvr06bz11lvk5DzcWl6VogdHCCGEEEKIqqgy5RiIiopi9uzZ2Nrasnr1asNi8mfOnOH555/nk08+oUuXLri7uxdbxqFDh/jhhx9Qq9XMnTuXXr16Afo1Jt99913++OMP/P39efbZZx+4ntKDI4QQQgghhLivVatWkZWVxdixYw3BDejXapwwYQKZmZn37cVZu3YtAOPGjTMEN6BfY3LOnDk4OTmxcOFCtFrtA9dTAhwhhBBCCCHKieIR/XkU9u3bB0CPHj2K7Mvftnfv3hLLuHLlCgBdunQpss/a2hp/f3/i4+M5d+7cA9dTAhwhhBBCCCFEiXJzcwkODkapVFKrVq0i+2vUqIFSqSQ4OJjc3Nxiy9HpdADY2NgY3a/KW3j82rVrD1xXCXCEEEIIIYQoJ5UlyUBiYiJZWVk4ODhgbm5eZL+ZmRmOjo6kp6eTmppabDk1a9YE4NixY0X2ZWZmcv78eQDi4uIeuK6SZEAIIYQQQogqZsOGDfzxxx8mHz948GCGDBlS7P709HQANBpNscdYWloCkJqaWmwPzeDBg/n333/5+uuvadiwIU2aNAEgKyuLTz75hOjoaMN/PygJcIQQQgghhCgnikc0YSYsLIygoCCTj2/dunWJ+5VK0wd+lTRErWfPngwfPpx169YxcuRIAgICcHJy4sKFCyQlJTF48GD++OMP1Gq1yZ93LwlwhBBCCCGEKCePKiGAt7f3fYOWe48viZWVFaAfRlacjIyMQscW5+OPP6ZJkyasWrWKCxcuYGNjQ7t27ZgyZQpbtmwBwNbW1uS630sCHCGEEEIIIaqYIUOGlDjkrLRsbGywsrIiPj4erVaLmVnhMEKr1RIfH4+FhQV2dnb3LW/48OEMHz68yPbr168D4OXl9cB1lSQDQgghhBBClJPKkiZaoVBQp04dcnJyuHnzZpH9N27cQKfTFVofx5jIyEgOHDhAVFSU0f1HjhxBoVDQqFGjB66rBDhCCCGEEEKI++rYsSMAO3bsKLIvf1vnzp1LLGP37t288MILrF69usi+Xbt2ERkZScuWLXFxcXngekqAI4QQQgghRDmpLGmiQT/szcLCgiVLlhRaiPPs2bMsXboUS0tLnnnmGcP2kJAQrl27RnJysmFbp06dUKvVrF69mlu3bhm2X79+ndmzZwMwZcqUh6qnzMERQgghhBCinDyqJAOPgo+PD2+++SZz5sxh5MiRBAYGAvphZVqtls8//xxnZ2fD8WPHjiUsLIzPPvvMMB/Iy8uL1157jS+//JJBgwbRunVrcnJyOHLkCNnZ2bzxxhulSo5gjAQ4QgghhBBCCJOMGjUKLy8vli5dyokTJzA3N6d58+ZMnDiRtm3bmlTG+PHjcXR0ZMWKFRw6dAhbW1sCAwMZN24c7dq1e+g6SoAjhBBCCCFEOXlU6+A8Sl27dqVr1673PW7nzp3F7hs6dChDhw4ty2oZyBwcIYQQQgghRJUhPThCCCGEEEKUk0rYgVPhSYAjhBBCCCFEOXlUGc8eZzJETQghhBBCCFFlSA+OEEIIIYQQ5UT6b8qe9OAIIYQQQgghqgzpwRGVgqVKVd5VqPIycnLKuwpVXmiGVXlXocrzt08t7yo8FswVmvKuQpWXkGRZ3lUQ/yPSg1P2pAdHCCGEEEIIUWVID44QQgghhBDlRHpwyp4EOEIIIYQQQpQThUQ4ZU6GqAkhhBBCCCGqDOnBEUIIIYQQopzIQp9lT3pwhBBCCCGEEFWGBDhCCCGEEEKIKkOGqAkhhBBCCFFOZIBa2ZMeHCGEEEIIIUSVIT04QgghhBBClBPpwSl70oMjhBBCCCGEqDKkB0cIIYQQQohyIgt9lj0JcIQQQgghhCgnEt+UPRmiJoQQQgghhKgypAdHCCGEEEKIcqKQPpwyJz04QgghhBBCiCpDenCEEEIIIYQoJ9J/U/akB0cIIYQQQghRZUgPjhBCCCGEEOVEenDKngQ4QgghhBBClBMJcMqeDFETQgghhBBCVBnSgyOEEEIIIUQ5UUgXTpmTHhwhhBBCCCFElSE9OEIIIYQQQpQT6cApexLgCCGEEEIIUU4kwCl7EuAIAVjbWTF8cn8CezTDwdWepPhkTu07z7pv/yI2PK7U5fnW9WLoy0/QKNAPKxsN0aGxHN52gr+X7yAlMa3QsZM+G0vXIe1MKnftgk2sXbip1PWpqhQKBV+tewePaq6Mav1aeVenQjC31dBkXB+qdW6MxsWOzPgUwg5f4vSPW0mNjDe5nKF/vI+Np5NJx/7zykKiTgQb/lttbUnjMT2o1jUAGw8nslLSib0QwqW1ewkPulzqa6poVDZWeD47AId2zVA72aNNTCbp2HkiVm0iK7p0zwuVrTVN139d4jERq/8mfPl/C21TmKtxH9oLpy6tsPB0JTdHR/rNUGL+3kvcjkOlvKKKSWOnoc/LfWncPQA7VztS4lK4dOAiWxf9Q3yE6fdyPnt3B3q92IsGHRpi52pHRkoGN0/d4N8fd3Dj1A2j5yiUCtqP6EDrQYG413QHIPpmNMc2HWXfr3vR5ege6horMpWNFT6j++PUoanhPk84ep7QFX+X+j4HQKHA7YkOuPZqi6aGF0ozFekhkURv3kfUpr1lfwHisSYBjnjsWdtZ8clvb+JT25O0lHRCroTi5uNK92EdCOzZjNmjv+LW5TCTy2vVvSmvz5uAuYWajLRMQq+F4+zhxPBJ/enyZFs+Gvc14TeiDMdH3Izi4vHgYsuzsbfCt44XAJG3Yx78Qqug0dMG49e0FolxyeVdlQrB3FZD3yWv4VDDnazUDOKDw7H1cqbuwDZU6xLA1lcWEB8cYVJZsRdCSI1OKHa/racTVm4O5GRmk1bgOLWNhn5LX8O+hjs52VqSbkWjtrbEt0MjfDs04vSPWzm1eMtDXmn5UdlY4TfvLTTVPMlJTSf9RigWnq649OmAQ/tmXJnxJek3TH9eaGp6A6BNTCbjdqTRY7Ki7xT6b6WlBfW+mI61X01yc3RkhEWhNFdj07AONg3rYBtQj1tzlz/4RVYAGjsNr614HfdaHmSkZBB+JRxnH2faDGlLQI8mLHh+PhFXwk0uz6O2B5N/nIKNkw1ZGVlEXY/C3s0e/66NadCxIWs/XMOR/x4udI5SpeSFr8fj38UfgNjbsei0OXjX98a3oS8NOjRg8eQf0GmrXpCjsrHC/5uZaKp7ok1NJ+16GJaeLrj17YBTh2ZcmPZ/pJXiPleozfCb8woOrRrpg/Hbkag0FljXrUbNqaOwDahH8CdLH+EVVWzSg1P2JMARj72XPxqNT21Pju8+y7xpi8lIzURtbsaED0bRbWh7Xps7gekDPkSny71vWW4+zkz58gXMLdQc2X6Sb9/+mbTkdJRKBcMnD2D4pP68u2QKrz0xm+wsLQAbftjChh+K/8H33o+v4VvHiz3/PcTePw8Xe9zj5pkpA3lqYr/yrkaF0vbtETjUcCf0wHn2vPcL2rRMlOZmtJ05nDr9A+n00XNsHPU5uSbcy3ve/bnYfRb21gxcNROAw1+uJzk01rCv/ayR2NdwJ+b8LXa//ZMh+PHt6E/nT8fS5IXeRB4PJvL41Ye61vJS/bUxaKp5knjkDNc/W4wuPROF2oxqU57FpVd7ar79Ihde/gBMaGMATU0fAOJ2H+X2d7+adI7XmIFY+9UkKyae4PcXkH79NgD2bZpQ692XcOndgeSTl4jbdeSBrrEiGDH7adxreXB+73l+mfEzmWmZmJmbMfy9pwh8sg3PfTGWz4d8ZtK9DDDq09HYONlw5cgVls/4mdT4FBRKBX0nPUGvF3sz/L2nuHr0CnFhd3sm2o/ogH8XfzJSMlg6ZQnBR/X3bI0mNZmw8EXqt29A9+d7sH3JtkfSBuWp1rRn0VT3JP7IWa5+vMRwn9ecOgq3Pu2oM2s8ZybMMfk+rzZhCA6tGpEZHcfldxcagiOHwMbUnTUel66tSDh8lth/K+89KyqWMs+ilpmZycaNGxk/fjzdunXD39+fwMBAxowZw7p168jJySnrjywzCxYswM/Pj++++86w7a233sLPz48///yzxG3/K9nZ2axevZoxY8bQtm1b/P39ad++Pc8//zy//vor2dnZ//M6VWZetTwI7NWM9NQMFsxcRkZqJgDZWVoWzfqF28Hh+NbxonXPZiaV139sTzTWlty+Gs681xeTlpwOgE6Xy5r5Gzl35DLuvq48Maa7SeU9MaYbTdo3JDo0liVzVj/YRVYxDi52vPv9ZJ6ZMqi8q1Kh2FV3o3qXALJTM9j34Sq0afp7WZel5eCnv5FwIxKHmh5U6xzw0J/V9u2nsHKx59au0wT/dfcHicbZDt+OjdHl6Ng7a3mhnp3b+85x9b/6oVN1BwY+dB3Kg4WvBw7tm5GTlsGNL5ehS9e3cW62llvzlpN+KxxNdS8c2pn2vIC7PTjpt0zvjXDq3gaA0CXrDMENQOLh00T/uRMA555tTS6vonGr6UZAjwAyUjNY9fYKMvPuZW2Wlt9m/0rktUg8ansQ0L2JSeW51/LAt6EvOp2OlW//Qmp8CgC5ulw2L/ibW2dvYWZuRvO+LQqd17J/KwC2L91mCG4Abp6+wZZvNwPQamDrh77eisbS1x2nDvr7PPg/Pxa6z6/P/YW0W+FYVffCqb1p97mFpwseg7qg0+Zw6e35hXp+Eo6cJWLdDgBc+5g2VLsqUjyiP4+zMg1wLl++zJNPPsmMGTM4fvw4bm5udOvWjRo1anD8+HFmzZrFqFGjSElJKcuPfWwkJiYyfPhwPvzwQy5dukTdunXp1q0b1apV48SJE3zwwQcMGTKEuLgHGBv7mOo0MBClUsmxnaeLzI3R6XLZteEgAO2faGVSeU06NARgy6pdaLOLBvP/rNoFQMcB9/9SdHC15+nXngRgyYerDcHX46xZh0Ys3vEpbXs2Iy46gZ+/XF/eVaowavdpiUKp5Pb+82QlFb6Xc3W5hkCkRg/Tf3wb49uxEdW7NCErJZ0jX/1eaJ+5rYarGw9zbfNRUiKKPofir+uHx1m7OT5UHcqLc7c2KJRKEo+cJie5cBujy+XOtgMAOHU27XkBoKmh78HJMDXAUalQO9gBkH6z6BChtKu3ADB3M23+VEXUsn8rlEol5/ecI83IvZw/lKxZH9PuZXt3ewDSEtJIikkqsj/0oj5IdPQsfF/au+nPMzYU7vYF4+dUBS499Pd5/OEzRu/zmK36FxXOXVqaVJ5z11YoVCpidxwh/VbRIbIxWw8Ssuy/xPxz8KHrXlkpFI/mz+OszIao3bx5k5EjR5KWlsYLL7zAyy+/jL29vWH/rVu3mD59OidPnuSll15i5cqVKCpp60+bNo0JEybg7u7+P/3cjz/+mIsXLzJixAjeeustrKysDPtiY2OZMWMGBw8eZNasWYV6oUTx6gbUBODyyetG9189pd9ev0Udk8pzyZuUfeN8iNH9ETejAfCt6425pTlZGVnFljXi1QForC05vvssJ/eeM+nzqzrfOp5YWlmw84+DLPnkN2r4+ZR3lSoMl0bVAYg5a3yydMw5/Q9f96a1HvgzFEoFzV8ZAMCZn7aRfqfwj8XEm1Ec/nxtsec71/cFIKnAkLbKxLq+/nmRcuGa0f2pl/Rtb+Nf1+QyNTX08+vSb5k4nyEnh+z4JNSOdljV8i0SGGmq68t7oEngFUT1xvp7ubiJ/7fO3ASgVvPaJpWXGJkAgI2TDfZu9iRGJxba71HbE6BI4oLEqAQc3B3wru/DhX0X7jnHw+g5VYFN/RoAJJ83fp+nXNB/L9o2Nu170b5ZfQDiD54yuj8z6g7hv1beeXmiYiqTHpzc3FzeeOMN0tLSmDRpEm+++Wah4AagevXqLF68GGdnZ44dO8a///5bFh9dLtzc3KhduzY2Njb/s8/Mzs5my5YtWFlZ8d577xUKbgBcXFyYO3cuarWanTt3EhtbOX9A/K95VHcDILqYH1wxeRnUHF3tsbSyMLlcpZnxf1pmahUAKpUSZw+HYs/3quVBt6Ht0el0rPq/DSZ/blV35fQNpg6aw9wZy0hOSC3v6lQotj4uACQXk/UvNVK/XeNsh5nG/IE+o07/QBxqepAancDFtaZnPTLTmOM/ujt1+geizcjiwm+7H+jzy5uFl/55kRlp/HmRGaVPBqB2skdpef/nhbmnKyqNJdl3EjBzsMP7hSHU+eQ16nwyFe9xQw2fd6/Yf/YB4D1uiGGIG4Bt0/q4De0JQPSm3aZeVoXj4usKQFzoHaP748L1QYWdix3mJtzLUTeiuJ73EuuZT57F2sHasK/7Cz2o3aI2GakZHN10tNB5hzYcuntMy7s/5r3r+/DEq/r5fwfW7Df1sioNy/vd53lJL8xNvM+t8oP4kEhU1pZ4DOlOvdkvU/8/U6k+8Sk01TzLqOaVl+IR/d/jrEx6cI4fP87Zs2dxd3fn5ZdfLvY4JycnXnjhBfbv309GRoZhe2RkJD/++CP79+8nIiICrVaLm5sbHTp04JVXXjH0lHzxxRcsW7aMV199lcmTJxcpf+XKlXz00UeMHj2aWbNmAZCQkMDPP//M7t27CQkJISsrCycnJwIDA5k4cSK1apX+beZbb73FH3/8wRdffMGgQYMKbdu0aRNnzpxh5cqVXL9+HSsrKzp27MjUqVPx8Sn8tjk9PZ1Vq1axbds2bty4QXp6Ovb29jRr1owXX3yRgIC7Y+WTkpLIzs5GrVaTm2t8Up+joyPPP/88CQkJZGXd7RkYPXo0QUFBrFq1ipYtC3cpf/fdd3zzzTdMnjyZV199FYANGzbw9ttv88EHH1CrVi0WLlzIuXPnMDc3p2PHjrzzzjs4OTmxdu1afvnlF0JCQvD09GTw4MGMHz8eM7PKk7vCzlEfpCYnGB82mZJ490e0raMNGWklDxOLDo3Ft44X1et5c/lE0bdfPrXvPsht7KyL7M/X/7nuqMxUHN91hpArpmeqqeounTT+RlGApYP+Xs5MNB74ZRYY6mPhYIM2vfRv+Bs+0xWAi7/tQWdkCOa9nOv70u7dkdj6uKDWWJASEaefD3TNtExuFY2Zvb6Nc5KMt3FOcmqhY7MySn5eaGrogxOVtYZGP3yAQqUy7LNv6Y/b4B7c/u5XYjcXDibDf/kTlZUG136daPDte2SERaMwU2Hp5YY2MZmb3/1G4qFTD3KJFYKNk76dU+8ZNpwvrcA9buNoQ5wJ9/KPry1l9H/G4Ne2PrO3fUjMrWhsXeywc7Ej8lokv81eTWJUQqFzDv9+CFsnW3pO6MWkZZO5E3oHnTYH1+puZGdm8/f8v9izcvcDX2dFpc57lmiLuc+1BZ4lansbMku4zxVqM9SO+iGV5m6ONPjydSxc7w7rc2jZEPdBXbg5fzXRm6tesCjKT5n04GzerJ9s17NnT8zNS36bMn78eH7++Wf69+8PQHBwMIMGDWL58uWoVCo6duxIixYtiIuL47fffmPkyJGGOTv5wcSWLca7Mv/66y8ABg4cCOiHbQ0dOpTvv/+etLQ02rVrR2BgoCERwlNPPUVERNl+0X7zzTe8++67KJVKOnXqhEqlYuPGjTzzzDOF5h5lZGQwatQovvzyS6KiomjZsiXt27dHoVCwfft2nnnmGc6ePWs43snJCVdXV9LS0njzzTcJDzc+Xnv69Ol89NFHeHl5PfS1/Pvvv4wdO5a4uDjatWuHSqVi06ZNvPTSS3z++efMnj0be3t72rZtS1hYGPPmzWPu3LkP/bn/S+aW+vs1K8N4coaCQ8jMLdT3Le/4bv3f2YAXemGmLhzoKRQKBo7rZfjv/N6ce1nZaug4QD8J+89lVS87j3g0VHn3Z06m8Xu54HYzE+7le3m2rqdPP52czpX/mjZW3r6mB051vVFr9G95ze2s8GnXEGUx935Fp8z7ftNlGR9aWnC70vz+bWxVS//SS2lpQeyWfZwbN4sT/V7m3PPvEvP3HpRqM6q9Ogr7wHsSQ+hySb8RStadRBQqFZpqnoa37trkNHLS0h/k8ioMdd79mV3MEN7sAvey2sR7WZul5eaZm2SlZ2GuMce7vg92Lvof3okxiWjzslreK/pWNHfC7qBUKnGt5op7LQ+UKiUZKRmkVtFeZMN9XsyzpOB9rrhP+6usLA3/u+4749FlZnHx7fkc6TuJEyPfJGL9DpRmKmpOHYVdU78yqH3lVBmTDBw8eJAxY8YQGBhI8+bNGT16NHv3lm49o1OnTvHSSy/RunVr/P396dGjB59++imJiYn3P/k+yuRV+/Xr+q7fxo0bl/rcL774goSEBN555x2ee+45w/Y7d+4wcuRIQkJC2LlzJwMHDsTPz4/69etz6dIlrly5Qr169QzHh4eHc+rUKWrWrGno+fj2228JDQ1l7NixvPXWW4Y5PykpKUyYMIETJ07w3//+l4kTJz7M5ReyZ88evv/+e7p162b4rBEjRhAcHMymTZt4+umnAX1v0/nz5+nduzdz58419HpkZWXxxhtvsHXrVtasWWNoU4VCwRtvvMGbb77J5s2b2bJlC40aNSIwMJBWrVrRqlWrMh8yt2/fPl555RWmTp0KQHR0NL179+bMmTNcvHiRFStWGHqEDhw4wAsvvMD69euZMWNGpZlfpcvRoVIVH+crlHf3mZIM86+fd9BtaHs8q7vx7tIp/PKfdYRcDcfd14VR04fgUd2NzPQsLDTmaLXG34B3HdIOjbUlwWdvcuHoldJeknhM5ep0UMK9XHDGaXG9wCWpP7QjAFc3HiL7Pj2Z+cIPX2R197dQqlV4t6lPq6mDafh0F+yqufLv9CWlrkN5y9XpUJTYxqV7XqQFhxDz9x7Sb4YRs3GXYXtmeDQh81eSq83BbVA3fCYMI/HIGcP+6tOfx6VXOzLCorj67jckn7mM0tICp04t8R4/lNqzXibku1+JycuoVtnodDqUJT6XC9zLJrS0xlbDpGWv4tPAh0sHLrJp3kYir0Vi725P52e70PnZLtT4eSrfv/gtN0/fNJzXZ2Jf+rzSl+Q7SSx/4ycu7LuAQqmgYadGDJ45hKfeH4FbDTf+++UfD3W9Fc397vNC3+/3eZYUDPSVlhZcmvwZmZH6IW5ZsQncWrQOMwdbXHsE4jvuSc6/+vnDVb6Sqhy/mO7KH+ljbm5OmzZt0Ol0HDlyhAkTJjBnzhxGjBhx3zJ27NjB1KlT0Wq1NGnSBBcXF86ePcvy5cvZvXs3v/32G05OD54spUx6cGJi9IsPOjs7l/pcLy8vevXqxejRowttd3Z2pkePHgCFelnye2fye43y/f333+Tm5hr2g37IVseOHXn11VcL/YO0sbEx9CCVdQ9Onz59DMFN/mfl9zwFB99dzNHS0pLOnTszffr0QkO6zM3NGTJkiNG6Pfnkk3zzzTe4ubmRm5vLuXPnWLZsGS+//DKBgYG88MILHDpUditYu7q6MmnSJMN/u7m50aqVPjvQgAEDCg13a9++PTY2NiQmJhIfX3kmXWbmpb8srndGbX7376akhAD5EmIS+XziQpLjU2jcpj5f/vc91pz/nvn/fERAuwZ8PW0JmXnlpKdkGC2jTW99qtJ9m2Q9AGE6bbr+vlIVcy+rCtzLxfXyFMfM0hzvNvqJwtf+OW7yeRnxKWSnZpCZkMr1f46z4/Uf0Glz8GnfCI8Wpk/Eryh0eUNxFGrjbaws0Gubm3n/50XikTOEzF9ZKLgpKOI3/fecpa+nYT6ObfOGuPRqR05GJlff/pqkY+fIzcomJymFmL92c/2THwDwGTcUMwdb0y+uAsnKu5eL650p2DueXUzve0Hdnu+OTwMfwq+EsXjyD4RdDiNHm0NcWBx/fL6Bf3/cgYWVBUPfGW44x62mG71e6o0uR8eyqUs5ufUkmWmZZKRkcGLzcb5/8VtysnPoMqYrXvUefsRERZJ/nyvNjb8DL3j/F9fLc3f/3X8HsTsOG4KbgsJX60fl2DaoVWnv2cdJVFQUs2fPxtbWlt9//50lS5awbNkyVq9ejY2NDZ988glRUVEllqHVapk9ezY6nY4FCxawdu1avvvuO3bs2EHXrl25desW33777UPVs0wCHFXeuGGt1ngXb0k++OADFixYgLLAm/Lo6Gj27NnDpUuXAAqt7dK/f3+USmWRYWqbN29GoVAwYMAAw7YpU6awdOnSQj0bcXFxHDp0iGPHjhUpuyw0aVI0L7+Li37yb1ra3XGrzz77LIsXL6Z69eqGbUlJSRw7dszQxZdlZBhEnz592LVrF8uWLeO5556jQYMGKJVKtFotBw4cYOzYsWU2TMzf37/IfBpHR/3Y2fr16xc53s7Orth6V1T5E9VtHIzPhym4PSnOtPTml09eZ2rf91kzfyMn9pzlxJ6zrP/+b17v9wEn957D2lYDQHxM0S5YW0cb6jWthU6n49AW039ICpE/98bCzsrofgv7u/dyRnzpUvV7BfqhslCTeCua+KsPPifszqXbRBzTryfi3sy0DFgViTZvjo2ZrfHnhVmBeXXZiQ+/HII2LpHseH2mOnN3/QtExw7NAYjffZSsqKKTwJOOniP16i2UFubYtzFtnZiKJn/ol5W98Xu5YJKAFBPu5SY99O2w86ed6LS6Ivt3LNtOjjYH34a+uPjqv68DujVBqVISfPRqoV6dfOFXwjmXNyS5ae+HS71e0eTPvTHlPtcmJpdYVk5ahr53GUi7bvzZkR4ahS5vRIOFe+lflFcFlSlN9KpVq8jKymLs2LGFRlIFBAQwYcIEMjMzWbNmTYllXL58mdjYWOrXr0+vXneH7ltYWPDKK68AcPTo0eJON0mZDFFzdXXl8uXLD7z+ysWLF1m9ejVnzpwhJCTEEAjk97oUHE7h7u5O27ZtOXDgABcuXKBhw4Zcv36dCxcu0Lx5c3x9fQuVHRISwsqVKzlx4gQ3btwwzIMxVnZZsLUt+vYhPwC897Oio6NZtWoVR44c4caNGyQkJBSqW3HMzMzo0KEDHTp0APTr4xw4cICVK1dy/PhxfvjhB1q0aEHnzp0f6lruzYRXsG4ODg7F7qtMwq9H4lndDVdv4w9VVy/99rjoBJN6cPIlxaew7tu/imyv1agaKjMVd6LiSU0qOoG2WSd/VColF48HE1dgkUQh7ifxVjR2vq7YeBrv0rfx0L+cSItJLHUPjk/7RgDc2nmqxOOUZipsvJzJzckhOcx4Bqzk2zHQpj4ap8r3pjbjdiSWXm6Yexh/Xpi76bdn3UkwqQcHAJUKcnXFrwif91jNzda/QMwPdDJuFz/6IDM0Cuu61bFwq5w/FqNvROFazRUnL+P1d/TS3+OJ0Ykm9eDkHx91w/hb5fSkdFLiU7B3tcfRy4nY27E4eun/vUTlpfY3JuaWfvSKYzH/5iqr9NuRWHq7YVHMfZ4fhGTFJty3BydXm0Nm5B0svVxLOsow1C23Ai8GL/T27dNnccwfZVVQjx49mDdvHnv37mXKlCnFlpHfqXHnzh20Wm2hl+n5o4CM/QYtjTLpwfH39wfgzJkz9zlSP1fmm2++4fBh/UJdixcv5sknn2Tt2rXodDp69uzJ9OnTWb58ebFzY/KHoeX34uQPV8sfCpZv06ZN9OnTh+XLl5OcnEynTp149dVXWbx4MR9++OGDXex9mPoj//Dhw/Tq1YtFixYRFRVF69atefnll1m4cCHff/99keMjIiI4evQod+4U/dFgb2/PE088wapVq+jbty+gH7JnCp2u6NusfJUpG9qDupa3Nki9JjWN7q+Xt2bI1dPG12O4V4MWdRjwfE/D+jr3atFFPz/sQpDxuTX5n3c+6LJJnydEvjuX9AsP5q+Hcy8X/xoAxJ6/VeqyXRvrz408EVzicU3G92Hw2ndo9fqQYo+xcs1bdDG26IKLFV3alZsA2NQ3nn3TuoF+e/56OPfTeOXntNi8CMdOxhcGVTvZGxb1zA9octIy8vY5FFuuubtT3rGVM9nA7fP6e7l6gPF7uUZADQBunb1pUnkZecOB7VztjO43MzfDNi/gzj/WcI6L8XMAQxCUkWp8uHFllXpF/4ywaWD8PrdpkLcelIn3ef5x1vWM/31auDujVJuRm6MzOoRNVBy5ubkEBwejVCqNZiGuUaMGSqWS4ODgEjsQ6tSpg6enJ1FRUcycOZOQkBDS09M5dOgQH374IUqlkueff/6h6lomAU737t0B/QT7+w1P2rhxI9999x2ffPIJt2/fZt68eTg4OLBu3To2bdrEF198wYsvvkibNm1ITzf+cO7ZsycajYatW7cC+gBHrVYbftwDpKamMnv2bJRKJYsXL2br1q3MmzePyZMn07lz53IdRpWbm8usWbNIT0/n448/ZteuXSxYsIDXX3+dnj17Gr0pvv/+e5599lk2bdpUbLkKhYKhQ4cCFMpAkR905Rh5M5KUVPl+ZJSlI9tPANCqRzNs7hkOoVQq6DK4LQB7N5o2H6Zuk5o899Zw+o8t+mZDY21Jr5H6XrWtv+4xen7NBvoeyOIWChWiOCG7TwNQrXNjzO8ZpqZQKqjTrzUA17YeK1W5Kgs1dtX08z/uXA4t8djIE/rhZ16Bflh7FF3h3dbbGe+2DQAIPXC+VPWoCBIO6J8XDu2aorK9Z/iUUoFzz3YAxO08bFJ56XmLdDr3aGN0v/sw/dCN5NOX0eYNeUs5rX/54dippdE1SCyreWJVR/9DMvls5UxScvpf/b3cuFsAVkbu5daD9Fkmj/1l2r0cfEwfmLcZbLydW/ZvhVKlJD0pjfDLYYXOqd+uPvZuRd8k2zjZUL+d/l6+dqzkwL+yidt3EgDH9sbvc9fe+u/F2H9N+168s1v/9+TcqTlqZ4ci+90HdgEg6cwVclKMpwYXFUNiYiJZWVk4ODgYzZpsZmaGo6Mj6enppKYWn2VQrVYzf/583N3d+fvvv+nZsydNmzZl7NixZGdns3Tp0kLz2R9EmQQ4AQEBtGzZkoiICBYvXlzscZGRkaxYsQLAkAZZp9PRvn37Qmu+gL5nIX/C/L29DNbW1vTo0YNbt26xdetWrl27RufOnQt1Z127do3U1FQaNWpkdKjWgQMHjJb9vxAXF8ft27dxdXVl+PDhRfYbq1vTpk0BWLduXYnB2Y0b+jcldercXZQsf1FQY4t/nj59uvQXUIXcuhzG8V1nsLbVMH3+y4Y5N2pzM17+eAy+dbwIux5J0PaThc6zdbTBq5YH7r6Fu92DdpwiOyubtn1b0L7f3beyDi52zPzuFRzd7Dm++yyXjhv/Qqzup08bezvYeBpwIYoTHxzB7f3nMbfR0OXTsYa5OEpzM9q9MxKHmh4k3owiZPfZQudZ2FtjV90N22KGaTrW9kSpUpIWm0iWkWGVBUUEXSH2/C1UajO6fPa8YfFRAIfannT/vxdRWai5sf0EcfcJliqi9BthJBw5g8railqzJqLKm6OgUJtR/fXn0FT3IuN2BAkHCj8vVHY2WPh6YO5Z+HkRtV6fBt6+VWO8nh+MwiwvfbZSgfuwXrgN7kFuTg6hy343nHNn+0GyYuIwd3Wk9vsTC/1g1NT0ptasl1Gaq0k8do60yzfLvhH+ByKuhHN+zzk0thrGzn3BMBfHzNyMkR8+jUdtD6JuRHH238KjRqwdrHGr6YZzgfsO4N8fd5CTnUPjbgEMeH1gocVBm/RsyqA3ngRgx487yMmbC3Jx3wVCzodgYWXB+AUv4lbj7qKrTl5OvPD1eKwdrIm4Gs6ZHVXrezTtRhjxh89gZq2h3vsvGebcKNRm1Jo2BqvqXqSHRBK3/1Sh88zsrLH0dcfCs3D7xx86Q/L5a6isLKn/yaRC+527tMRjUBcAwlYbXwLkcfCo0kRv2LCB0aNHm/xnw4aSFxbP73jQaDTFHmNpqU8NXlKAA1CtWjUGDBiASqUiICCArl274urqSnR0NEuXLjVM23hQZTYG6f3332f48OEsWLCAjIwMXnrppULzUYKDg5k2bRqxsbE0bdqU4cOHG9Z5OXHiBAkJCYZ5HZmZmXz22WeGJAOZmUVTkg4cOJBNmzbx6aefAkWHp3l4eABw5coVbt++bZibk5OTw+LFi9m1a1exZT9qDg4OWFpaEhsby+nTpw2JCXJzc9mwYQO//vprkbr179+fRYsWERwczIsvvsiHH35YKEEBwO7du/nmm2+wtLQ0pKMG8PPzY9euXfz666/06tULdV4GlFWrVnHq1KlHfLUV3w+zV/Jx3Zk0blOfRbv+Q9j1CNx8XLF1sCY1KY0vJn1XpFet76iuPPXqAKJDY3ml+zuG7ZEhMfzy+XrGvfc0r8+dwDPTBpOWlIZPHU/U5mqunbvJ19OMp8e1stFgaaV/I5tSzAJ3QpTk8Odrcaw9Fc+W9Rj652wSb0Zh6+WMhb01Wcnp7HrrxyJpXesP70jT8X1IiYjj98FzipSpcc5LHpJs2nCn3e/+TO+Fk3BpUI0nf3ubpJBoUCiwr+6GQqkk4ugVDn7628NfbDkJmb8Szf/NxK5pfRqv/JyMkAgsPF0xs7VGm5LGtQ+/K9LGbgO74jV6IJmRsZx77m3D9uSTFwn76Q+8nx+M58gncO3fhczwaMzdnFE72JKr1XJz3i+kXb47FEiXmUXw7IXU/eQ17Fo0ovEvn5EeEoFKY4m5uzMKpZK0q7e48fmy/1mbPAprP1rL1Dqe1Ausx+xtHxJ1IwpnH2es7a1JT0rjx6lLizyXOz7diT6v9CUu7A5z+twdhh564TZrPvyVEbOfpvsLPWg/ogMxt2JwcHfA1ln/OyXozyP8u2xHofJ+en0ZryyZhG9DX9768x2ib0SjUCpwreaKUqUkNjSWpVOWosv5378ofdRufL0Kq6+9sG9Wn2arPiM9JBJLTxfM7PT3+eUPvi9yn3s82RWfMQPIjIzl5LPv3t2Rm8uVOYtp+OXrWNepRtOf55B2KwKVxgLLvKD/9k9/knTy0v/yEiuURzWDOSwsjKCgIJOPb926dYn7CyYEu5+ShqjFx8fzzDPPEBUVxU8//URgoL5XNisrizlz5rBu3TomT57MypUrTf68e5VZgOPn58dPP/3ExIkTWbJkCatWrcLf3x9nZ2fCwsI4e/Ysubm5NGvWjO+++w4zMzMCAgJo1qwZJ0+epHfv3jRv3hydTsfJkydJTEykTp06BAcHG+15aN++Pa6urkRGRmJnZ0eXLl0K7Xdzc+OJJ55g8+bNDBgwgNatW2NmZsaZM2eIiYkpsexHTaVSMXr0aJYsWcKoUaNo3bo1VlZWXLx4kdDQUGrXrs3169cL1c3c3Jxly5Yxfvx4Dh06RO/evWnQoAG+vr5otVouX75MaGgo1tbWfPPNN/j4+BjOHT58OCtXruTo0aP07t0bf39/rl+/TnBwMAMGDChx2NvjIC4qgZlDP2H4pP606taEavV8SEtOY9+mI6xZsInIW8VPMjVmy8pd3ImMp99zPajVqBpObvZE3Ixm/19B/PXzDrKKmZRZMGNbmok/JoUoKC0mkb+e+4qAcb2p1qkxjnW8yEpO5/rW45xauoXk26V/3uVnX8sqJq35vVIj49k09v/wH9WVal2bYOvtQo42h+izN7m2OYjgTUfILW5CfSWQHRvPxckf4zmqPw5tm6Kp6UNOahpxu44Q/stGMsNL97yI/G0zKRev4T64B9YNaqOp6YM2MZk7O48Qte4f0q8X7elKv3abCy9/gPuw3ji0aYKljwe5OTmkBYcQtzuImE27yc0q2wyh/2uJUQl8NeJLer/ch8ZdG+NVz4v0pHSObz7Glm+3EBsSU6rygv4MIvRiKF3Hdqdu67p41vUkMy2Ty4cucXDdQU5vP1XknPiIeL4a8RVdRnchoEcTXKvpf4xHXY/kzL9n2P3LLtKr6LM6KzaBs698ivez/XBq1wSrWt7kpKQRuzOI0OWbyAgr3X2efSeBsxM/xnNYT5y7tMTSyw1dRiYJR88T8fsOEo9deERX8njz9va+b9By7/ElyR8RVFLnQEZGRqFjjVm2bBnXr19nxowZhuAG9L91Z8+ezbFjxzh69CjHjh0rtCRJaZTpLPIWLVqwefNmVq5cyb59+7hw4QLp6enY2trStm1bBg0axMCBAw0RoEqlYtGiRSxcuJDdu3ezb98+NBoNfn5+jBgxgg4dOtC2bVv27t1bJMuCSqWiX79+/Pzzz/Tp08foWMBPP/2UWrVq8ffff3Po0CHUajW1atVi4sSJDB8+nA4dOnDq1Cni4uIeajGhB/Haa6/h6urK+vXrOXFCP667WrVqvPbaazz//PM89dRTXL58mUuXLhlSMvv6+rJp0ybWrVvHrl27uHLlCteuXUOlUuHt7c24ceMYM2aMofcqn4+PD7/99hvffPMNR44cYe/evTRs2JAlS5aQm5v72Ac4ACkJqfz0yRp++qTk1Ib51i7cxNqFxbdb0I5TBO04Vao6RIfGMszvxVKd87g7e+Qy/euMK+9qVCiZSWkcnfcHR+eZtvjg6aX/cHrpP8XuD/7rCMF/lW5NpuyUdE7+sJmTP2y+/8GVUE5yKqGL1hC6yLTnRcTKTUSsLP55kXL6smFujam0CcmELV1P2NL1pTqvMklLTOOPzzfwx+clD5vJ98/3W/jn++KHOYVfCWfVOytKVYfM1Ay2LvqHrYuK/zdSVWmTUrn13VpufbfWpONDf/mL0F+KZg/Np8vMJmzVZsJWVc3nwsN4VD04Q4YMMaytWBZsbGywsrIiPj6+yO9y0C8XEx8fj4WFhWHpEGPye5Xat29fZJ9araZdu3bcuHGDCxcuPHCAo8gt6zzJQjwC8sP/0cuQ9JyP3HCXypcaubLxty953LcoGyvCix+DL8rGSPf//RD6x1GbHT+UdxX4svm0R1LujBNlsy5iQcOHD+fMmTP8/fffheZ7A1y9epX+/fvTuHFj1q8v/uVLnz59uHHjBps2bSq0lk6+Tz75hF9++YWZM2cybtyDvcQskyQDQgghhBBCiNKrTAt9duzYEYAdO3YU2Ze/7X7rMOanmN6zp2hG2ZycHMNSMsYWlTeVBDhCCCGEEEKUk0eVRe1RGDJkCBYWFixZsoRz584Ztp89e5alS5diaWnJM888Y9geEhLCtWvXSE5ONmwbMWIEAIsWLeL48eOG7Vqtli+++IIrV65Qt25d2rQxntrdFFV/JUchhBBCCCHEQ/Px8eHNN99kzpw5jBw50pAk4MiRI2i1Wj7//HOcne8uOzB27FjCwsL47LPPDPOBOnfuzIsvvsjixYsZNWoUTZs2xcnJiYsXLxIeHo6Liwtff/01KpXqgespAY4QQgghhBDl5FH1tjwqo0aNwsvLi6VLl3LixAnMzc1p3rw5EydOpG3btiaVMX36dJo3b86KFSs4e/Ys586dw83NjWeffZaXXnoJNze3+xdSAglwhBBCCCGEECbr2rUrXbt2ve9xO3fufOgyHoQEOEIIIYQQQpSTytaDUxlIgCOEEEIIIUQ5eVQZzx5nkkVNCCGEEEIIUWVID44QQgghhBDlRDpwyp704AghhBBCCCGqDOnBEUIIIYQQopxID07Zkx4cIYQQQgghRJUhPThCCCGEEEKUE+nBKXsS4AghhBBCCFFOJE102ZMhakIIIYQQQogqQ3pwhBBCCCGEKCfSgVP2pAdHCCGEEEIIUWVID44QQgghhBDlJre8K1DlSIAjhBBCCCFEOZEhamVPhqgJIYQQQgghqgzpwRFCCCGEEKKcSJrosic9OEIIIYQQQogqQ3pwhBBCCCGEKCfSgVP2JMARQgghhBCinEiAU/ZkiJoQQgghhBCiypAeHCGEEEIIIcqJ9OCUPQlwRKUw0VNu1UctNMOqvKtQ5a2LTS7vKlR562Jh8aCc8q5GlVf7jm15V6HK+yY0s7yr8FhoU94VEI+E/GoUQghRZUhwI4SobCRNdNmTOThCCCGEEEKIKkN6cIQQQgghhCgn0oFT9iTAEUIIIYQQopxIgFP2ZIiaEEIIIYQQosqQHhwhhBBCCCHKifTglD3pwRFCCCGEEEJUGdKDI4QQQgghRDmRNNFlTwIcIYQQQgghyomC3PKuQpUjQ9SEEEIIIYQQVYb04AghhBBCCFFOZIRa2ZMeHCGEEEIIIUSVIT04QgghhBBClBPpwSl7EuAIIYQQQghRXiTCKXMyRE0IIYQQQghRZUgPjhBCCCGEEOVEOnDKnvTgCCGEEEIIIaoM6cERQgghhBCinEgPTtmTAEcIIYQQQghhsoMHD7Jo0SIuX75MdnY2jRo1YsKECXTq1Om+544ePZqgoKD7Hjd58mReffXVB6qfBDhCCCGEEEKUk8rWg7NhwwbefvttzM3NadOmDTqdjiNHjjBhwgTmzJnDiBEjSjy/Xbt2uLu7G92XmprKzp07AWjQoMED11ECHCGEEEIIIcqJQpFb3lUwWVRUFLNnz8bW1pbVq1dTr149AM6cOcPzzz/PJ598QpcuXYoNYAAmTpxY7L433ngDgAkTJtCjR48HrqckGRBCCCGEEELc16pVq8jKymLs2LGG4AYgICCACRMmkJmZyZo1ax6o7I0bN7Jp0yYaNWrEa6+99lD1lABHCCGEEEKIcqJ4RH8ehX379gEY7V3J37Z3795Sl5uSksIXX3yBUqnk448/xszs4QaZSYAjhBBCCCGEKFFubi7BwcEolUpq1apVZH+NGjVQKpUEBweTm1u6YXc//PADMTExDB8+nIYNGz50XSXAEUIIIYQQopxUlh6cxMREsrKycHBwwNzcvMh+MzMzHB0dSU9PJzU11eRyExISWLFiBWq1usT5OaUhSQaEAMxsNNQc2w/XDk2wcLYnKyGFuKAL3PhlMxlRcaUvUKHAq187PPu0xaaGJwq1itRbkYT/dYCwjftMK0KlpNXit7Gt7c3x1+aRcOpq6etRwZjbamgyrg/VOjdG42JHZnwKYYcvcfrHraRGxptcztA/3sfG08mkY/95ZSFRJ4IN/622tqTxmB5U6xqAjYcTWSnpxF4I4dLavYQHXS71NVV1CoWCr9a9g0c1V0a1fq28q1MhKDRW2PZ6Ekv/5qjsHNClJpNx6Swp2/8kJ/7OQ5evrlEHl0nvkJMQR/Qnbxg9Rmlrj23PgVg0aILKzh5dagpZN66Qsvsfsm/feOg6VAQWthpaT+hNra7+WLvYkR6fyq1Dlzi6ZBvJpXhePLdxFnZepj0vNrz0LWHHr9H6xd4EvtjbpHMubgpix4e/mVyfisTazoqhk/rTskdTHF3tSYpP5vS+82z47m9iw0v/3edT14vBL/elYWs/NDYaYkJjObLtBFt++ZfUxLRiz2vUpj59n+tO3SY10dhYEheZQNC2E/zx/WbSUzMe5hIrhUc1nGzDhg388ccfJh8/ePBghgwZUuz+9PR0ADQaTbHHWFpaAvpsaDY2NiZ97po1a0hPT2fYsGF4enqaXN+SSIAjHntmNhpafjsD6+oeaFPTSbkehsbTBa9+7XDt1JQTU+eRcj3M5PKU5mYEfPwSzq0bkZujIzUkEpXGArt61bCbVg3HpnU5N+fH+5ZTY3RfbGt7P8ylVSjmthr6LnkNhxruZKVmEB8cjq2XM3UHtqFalwC2vrKA+OAIk8qKvRBCanRCsfttPZ2wcnMgJzObtALHqW009Fv6GvY13MnJ1pJ0Kxq1tSW+HRrh26ERp3/cyqnFWx7ySquW0dMG49e0FolxyeVdlQpBobHC5dVZqN290GWkkx1xGzNnV6wDO6Fp3ILY7z5DGxH64B9gpsbhqRdQKIsfYKFydMZl6vuobO3RZWWijYpAaWuHpmkglo1bkrjhF9IO73nwOlQAFrYahv04Baea7mSlZBB7NQJ7b2caDQqkdtfGbHjxW+6Y+LyIuhBCSgnPCzsvZ2zc7NFmZpMSlQhAcmQ84aeuF3uOmaU5bvV9AEgMffigtjxY21nx4a8z8a7tSVpKOiFXwnDzcaHrsA606tmMj0b/HyFXTP/ua9m9Ca/OnYC5hZqMtEzCrkXg7OHI0En96fRkWz4b/w0RN6KKnDd0cn+GTR4AQEzYHZLuJONZ050B43vTrEtjPnz2K1ISTO8NEHeFhYWZtN5MvtatW5e4X1nCc+lepg5R0+l0rF69GoDx48ebXP79SIAjHnsNZozCuroHsYfOcW7OMnLSM1Gam+H3+tN49W2L//svcPiFj0Fn2j/WOi8Oxrl1IzKi4jj99veG4Mi5rT/+77+Ae7eWxB46R+T24h861jW9qDHKtLeHlUXbt0fgUMOd0APn2fPeL2jT9O3cduZw6vQPpNNHz7Fx1OfkmtDOe979udh9FvbWDFw1E4DDX64nOTTWsK/9rJHY13An5vwtdr/9kyH48e3oT+dPx9Lkhd5EHg8m8njl7y0rC89MGchTE/uVdzUqFIfhz6N29yLjwmniV35PbmaGPigZOgar1h1xfHYiMV/NglKOP89n22sQanevEo9xfO5VVLb2ZFw4RfzqJeSm63/8WbXtisOw57AfMprMa5fJiYl8oDpUBN1mPYVTTXdu7r/AP++sIDstE5W5GV3eGkbDga3p8+loVo/80qTnxT9v/VLsPkt7a55ZMwOA3Z//TmLe8+LixiAubiz+Gd1t1lO41fch9Fgwx37aUcqrqxgmfPQs3rU9Obn7LPOnLyEjNRO1uRkvfDCKLkPa8erc8cwcOMekNnb1dmbSFy9gbqHm6PaTLHpnOWnJ6SiUCoZO6s/QSf15c/GrzOj3AdlZWsN5LXs0ZdjkAWRnZfPdmz9zeMsxALxqujPt21fwqePF09OHsOS9FY+sHSoCxSPqwvH29r5v0HLv8SWxsrICIDMzs9hjMjIyCh17PydOnCAyMpJmzZpRs2ZNE2t6fxLgiMeaVTV3XDs2RZuWwflPfyYnXf+PVpel5eKXK7FvUAPrGp64dWxK9J6T9y3P0tMZ78Gd0GlzOPXmt6TevPuG8c6hc4Ss+ZdaY/vh2bdt8QGOUkHDN0eDQoEuW4tSXfn/mdpVd6N6lwCyUzPY9+EqtGl32/ngp7/h0qg6DjU9qNY5gFu7Tj/UZ7V9+ymsXOy5tes0wX8dMWzXONvh27Exuhwde2ctL9Szc3vfOa7+9xD1h3ek7sDAxz7AcXCxY9JHY2jbs1l5V6VCMXPzxLJxC3QZ6cSvXqwPbgC02SSs/RF1tVqoPbyxbNyCjDPHSl2+2rs6Nl36oMvKRGluYfyYarUw962BLi2V+FU/kJuRbtiXdmgXlg2bYNmwKVYt25O85fcHus7y5ljdjdpdG5OVmsG291eTnfe8yMnSsvPjNXj4V8Oplge1ujbm2r9nHuqzur07HGsXO4J3nikxoCmoZudGNHqyDZnJ6WyfvdqkAKCi8arpTquezUhPzeDbN38kI1XfxtlZWhbP+oU6ATXwqeNFq57NCNp64r7l9Xu+J5bWloReDeebaUvIyc4BIFeXy/oFm6jfsi6NAv3oM7obm5ZtM5z37MxhACz/ZI0huAEIvxHFjx+u4r3l02nfvzU/zfkVbbYWUTpDhgwpcchZadnY2GBlZUV8fDxarbZIpjOtVkt8fDwWFhbY2dmZVOa///4LQL9+Zfsy7aGTDGzYsAE/Pz/8/Pzo0KEDOp2uxOO3bt1qOP6tt9562I9/LO3Zs4cpU6bQqVMn/P39CQwMZOjQoXzzzTfExT3AfJHHmEfP1iiUSmIPnkWbfM/4YF0u4VsOAeDWtYVp5XVvhVKlInJ7UKHgJl/EP4cIXvInEXnlGlN9RA/s6lcnZO0OtGlVY+xx7T4tUSiV3N5/nqykwu2cq8s1BCI1ejzcD2rfjo2o3qUJWSnpHPmq8I87c1sNVzce5trmo6REFP13En9d//dl7eb4UHWo7Jp1aMTiHZ/Stmcz4qIT+PnL9eVdpQpD07wtCqWSjAunDL0mBrm5pB3drz+uaWDpC1eqcBg5DnIhZfvGEo5Tkha0j9TDuwsFN/myI/U9xioH0+acVER+T7RAoVRyY98FMo08Ly5sOgpA3Z5NH+pzanZqRO1uAWSmpLPnc9OCQZWFmi4zhwJw6Nu/SYlKeKg6lJcOA9ugVCo5setMkbkxubpc9mzQf0e17dvSpPIat9evOL911S5DcFPQttW7AWg/4G5vQr1mtXGv5krkrWh2rttf5JyLQVdZM++/rPpiPWrzyv+irySVJcmAQqGgTp065OTkcPPmzSL7b9y4gU6nK7Q+zv3kp5Tu1atXWVUTKOMenJiYGI4fP06rVq2KPWbz5s1l+ZGPldzcXN555x02bNiAWq3G39+fpk2bkpSUxOXLl/nuu+9YuXIlS5cupUmTJuVd3UrBrkENABLPGx9rnXRBP1nXIaC2SeU5NvcDIOaA8beKGZFx3Fq1tdjzNT5u1Bzbj7TbUdz4+W+8+rU36XMrOpdG1QGIOWt88nPMuVsAuDctmnbSVAqlguav6Mdxn/lpG+l3kgrtT7wZxeHP1xZ7vnN9XwCSCgxpexz51vHE0sqCnX8cZMknv1HDz6e8q1RhmFfX359ZN4ON7s++dU1/XE3Tv9zz2XTvh9qrGsnbN5Jdwhye7JvBJBTz+QDmPvp/a9rYonMdKgt3/2oARJ65aXR/1Fn9dq+HfF60m6x/Y3x02Q7S7pg2x6zZM52wcXcg9mo4Z38v/kVVRVcnoAYAV05eM7r/6mn9d2L9FnVMKs8lL+nLjQshRvdH3owGwLeuN+aWarIysvFvWx+Ak7vPGu0Fy83N5b8/PB5zIhVUnl7Ajh07cubMGXbs2EGdOoXvjx079MM1O3fubFJZKSkpXLt2DW9vb9zd3cu0nmUW4NjZ2ZGUlMTWrVuLDXDS0tLYs2cParWa7Ozssvrox8b69evZsGEDAQEBLFy4sNDNkJmZyTfffMOyZcuYNGkS//77LxYWxoc4iLusvF0BSI8wPkk0PS+DmoWTPSqNhWEIW3FsaurHzqfdikBlbYlX37Y4BNRFpbEg9VYE4Zv2k3qr+HHxDWc+i1JtxsWvVqPLqjrd8bY+LgAkF5OVJzVSv13jbIeZxhxtelapP6NO/0AcanqQGp3AxbWmLzJmpjGn/rCO1OkfiDYjiwu/7S71Z1clV07fYOqgOdy4eLu8q1LhqJz1z9ycOONBcE68frvKzh6FuQW5WSU/L/KZeXhj22MA2VHhJG/fiEW9RqWum8LKGtseA7Co509OanKlTjJgn/e8SAoz/lxOitBnULN2sUOtMSf7AZ4XDQa0xqmWBylRCZz+zbTnhYWdFc2f6wbAoW83P/A8q4rAvbobADHFvNCJDde3vYOrPRZWFmSmmXYvq1Qqo9vN1PrtSpUSJw9HIm9G41tX/30Zdj0ChVJBmz4taN41AHtnO+Ki4jnwVxBnD1ws1XWJR2/IkCEsXbqUJUuW0KFDB/z9/QE4e/YsS5cuxdLSkmeeecZwfEhICNnZ2bi5uWFra1uorPPnz5Obm2sooyyVWYDToUMH/v33X7Zt28a7776LwsiMqV27dpGenk63bt3YuXNnWX30Y2PjRv2whbfffrtIpGthYcGMGTM4fPgw58+f599//+WJJ54oj2pWKmoHfQrD7KQUo/sLDltT21uXGOAozc0wd9T/47Vwc6TZ3KlYut4d7uTcqgE+T3bm8rzfCP/7QJHzfYZ0wSGgDmEb95FwumrNAbHMa+fMROOZcAoOQ7FwsEGbXvqhlg2f6QrAxd/2oDMyROJezvV9affuSGx9XFBrLEiJiOPgp7+RcM20zExV1aVi3ugKUNro/33rUo0/L3Rpd+9vpbUtOaYEOAoFDiPGgVJF4tofIad0LzYsGjbFrt9wzFzcUJipyY64TfyvS9AlJ5aqnIpE46h/XqQXk1a44PPC0sH6gQKcZs92AeDUr3tNel4A+A9ug4WNhtjgCG7uv1Dqz6xI7PLaOLmY7GQpBdre1tHmvgFOdGgsPnW8qFbP22ivkHftu6l/re30k8+d83p9crQ6Zq98A7/mhXsDOg9ux671+1ny3spSLxpZ2TyqNNGPgo+PD2+++SZz5sxh5MiRBAbqh+QeOXIErVbL559/jrOzs+H4sWPHEhYWxmeffVZkPlBoqL632sXFpczrWWYLfVpZWdGpUyeioqI4edL4ZOzNmzdjZWVFly5diuzTarX89ttvjB49msDAQBo1akRgYCDjxo1j377C64aEhobi5+fHlClTiIiIYMaMGbRt25aAgACefPJJ1q1bZ/Tzw8LCePfdd+nSpQsBAQEMHjyYv/76iz///BM/Pz82bNhQpE4rV65kyJAhNG3alGbNmjFs2DBWrVqFVlv4Syh/LtLKlSs5duwYY8eOpUWLFjRr1oyxY8dy9OjRYttk3LhxtG3bFn9/f1q1asWzzz7LX3/9VeTYO3f0b1SMBY/528eMGcOQIUNwdLz7w3rBggX4+fnx3XffFTnn2LFj+Pn5MXr06CLt+/rrrxMaGsq0adMIDAykWbNmjBkzhnPnzgEQFBTE6NGjadasGZ07d+btt98mPt70tQkqAlXeQlW6TOM9ijmZd784lUYWtSpUlsbS8L/933sBXWY2J2cuZFevKewf/g4ha/9Faaai/rSncWxWeAiLpYcTtScMJCMmgas/mJ6zvrJQWagByCm2ne9uN8s7tjQ8W9fTp59OTufKfw+adI59TQ+c6nqj1uh7Os3trPBp1xCl2vgbSCEUav0zIDfb+A/qgtsVatPuY+vOfTCvVou0gzuLHfpWErV3NdQe3ijM9J+ntLHHskHlHqJsdp/nhfYhnxe+gfVwqulOZnI65/4wbZiZQqnAf1g7AE6u2FXqz6xozC3193JWhvE2zsq4ey+bm9DGJ3efBaDfCz0xuycxjkKhoP8LPQ3/nb9fY63/znx6+mCq+/mw5P2VjGv1Gi+0nMqS91eSmZ5F12EdGPKKZHKsaEaNGsWiRYto0qQJJ06c4Ny5czRv3pyffvqJQYMGmVxO/rzxe3t2ykKZzsHp27cv27dvZ+vWrTRv3rzQvpSUFPbu3UuvXr0MiwDly83NZdKkSezevRtHR0eaNGmCmZkZly9fZv/+/Rw4cICFCxfSo0ePQudFRkYyfPhwsrOzadq0KcnJyZw4cYJZs2aRkpLC888/bzj22rVrjBkzhtjYWGrXrk1AQAAXL15k+vTpRuerZGZmMn78eIKCgrC2tqZNmzaAPkKdM2cOO3fu5Pvvvy+ykuv+/fv59NNP8fLyom3btly/fp1Dhw5x7NgxVq5cSdOmTQ3HfvDBB/z6669YWVnRvHlzrKysuHbtGkePHuXo0aPExcUxZswYw/H169fn2rVrzJ49m48//piAgIAi9X7yySd58sknS/6LMlFoaChDhw5FrVbTsmVLrl27xpEjRxgzZgxvvvkmH374IbVr16Z9+/YcPXqUDRs2EBwcXGyAWRHl6nQoVMXH+YWDyZLfICnN734JqCwtOPryF2RE6oPSzJgErn73O2pHWzx7tqb2hEEce+VLw/H13xiFmcaS8x//TE4VXNQsV6eDEtq5YI7MB3lTV39oRwCubjxkyLh0P+GHL7K6+1so1Sq829Sn1dTBNHy6C3bVXPl3+pJS10E8BnQ6KGkdCEXp3hmqXNyx7f0k2vg7JG1+sGQOaUf2krrnHxQaazSNW2D7xDDs+g5FZedA4obKmVr3fs+LQs/lB3ixHzBcP7fx/H8Pk51q2vOiZsdG2Hk6kRKTyJV/7p9VrKLT5ehQltDGSmXBNr5/I29evoMuQ9vjUd2Nt5a8ysrP13P7ahhuvq48PW0wHtXdyEzPwkJjTo5W32Omzguc7Jxs+eb1JYWyqO1cu49cnY4XPx5D/3G9+GflzhIXCq3sHlWa6Eepa9eudO3a9b7HlTRia8KECUyYMKEsq2VQZj04AF26dMHS0pJt27YV2bdjxw6ysrLo27dvkX3//PMPu3fvplmzZuzevZvFixfz3XffsX37dp577jlyc3NZtWpVkfNOnz5N/fr12b59Oz/88AOrV6/mo48+AmDZsmWFjn3//feJjY1l4sSJ/P3338yfP59//vmH0aNHc/p00bS0c+fOJSgoiGbNmrFjxw4WLVrEokWL2LFjB40bN2b//v3Mnz+/yHm7du1iwoQJbN26lYULF/L3338zaNAgsrOzWb58ueG4M2fO8Ouvv1K9enX+/fdfli1bxoIFC9i8ebMhu9zKlSsLlT1x4kSsra25fPkyw4cPp3v37rz33nv8+eefREWV/YTSM2fO4O/vz44dO/j222/ZtGkTTZo0ITU1lffff5/XXnuNTZs2Ga7T3t6eM2fOcPFi5Rkzm5P3lqpgcFJQwe3F9fIY9mfdfeMVue2IIbgp6NbKfwCwb1jTMDzOq197nFs2IGrXcWKLSU5Q2eXPqVEV8yZQVSBDTnFvbYtjZmmOdxv9ZNVr/xw3+byM+BSyUzPITEjl+j/H2fH6D+i0Ofi0b4RHi7qlqoN4POTPqSmud0ZRIGVqcb08BTmMeAGluQWJ65ffTTldSrqkBHKzstAlxpO6fwcJqxcD+jVxVC5lO2n3fyV/yJmqmMxZBbdrH+B5US1vcvvlLaY/L2p3178IDd5+Gl1OydliK4OMvOHWagvjbWxW4Lsvy4Q2TohJ4stXviU5IYVGberz2R+zWHnue+ZumYN/uwbMn7bU0CuUnqK/1/P/O+x6ZKHgJt/u3w8SH52IpZUF/nnPeCFMVaYBjrW1NZ06dSI8PJwzZwr/UNuyZQu2trZ06tSpyHk6nY5u3brxxhtvFOrdUSqVDB8+HIDw8HCjn/nee+8VyrU9ZMgQNBoNMTExhuFSFy5c4NixYzRs2JCpU6ca3v6oVCrefvvtIgsLZWRk8Ntvv2FmZsa8efNwcrqbbtPZ2Zl58+ahUqlYtWpVkcWOPD09mTp1qmGinUKhMEy2Cg6+O/wgJSWFXr168frrrxcqH2DEiBFGr7lu3bqsXr2axo0bA/oelrVr1zJz5kw6derEoEGDWLt27X1TdZfGW2+9Zfg7UavVhjR+1apVK7TirIuLCy1a6FMp37p1q8w+/1HLn3ujtjW+IJXaztrwv7MSSs6yo03N0L95BMPinvdKC41Gl/f2SuPhjIWLPXUmDiY7KZUr84vP8FXZ5c+9sbAz3s4W9nfbOSPe+PyG4ngF+qGyUJN4K5r4q6avun2vO5duE3FMP/fJvZlpWfPE40WXpr83lVbWRvcrrW3uHptS8vPCqn13LGr5kXbiEJmXyu7FRsa5E2ijI1AolZjXrJyBekbem3pLe+PPC8sCz4v0Uj4vqrXxw8xCTfytaGKvGP9dcS+FUkH1dvof2Fd3nCrV51VUKXlzb2zsjd/Ltg53tyfFmZZh7urJ60zvO5v1CzZxcs9ZTu45yx/fb2ZG/w84te8cVrYaABJi9PPDUpP1ac5vXzH+3M7NzSX8hj4pj5tP2c/RqEgqS5royqTME4v37duXbdu28c8//xiGUCUmJnLgwAH69+9fZEgX6Bf3uXeBn7S0NIKDgw35sY1lXXNwcKB69eqFtqlUKpycnAgLCyM9PR1HR0cOHtSPye/evXuR+SsqlYqePXuyePFiw7Zz586RkZFBixYt8PT05F6+vr40btyYU6dOcfbsWVq2vJsnvnHjxijvGcKQP3kqLe1u92q7du1o165doeMyMzO5fv06J0+eRKFQGL3m+vXrs379es6fP8+uXbs4cuQIp0+fJjMzk0uXLvHee+/x999/s3jx4ofOomZtbU3duoW/IPPn9tSrV6/IdeYHmiWtcFvRpIVEYeXthqWHs9H9lu764DMzNuG+PTi52hzSI+4YMrMZPSY319Ddr9Pm4NSyAWob/Zd4xz8+L/a8Fl+/DsD1n//mxs9/l1iPiijxVjR2vq7YeBpfm8PGQ39fpcUklroHx6e9PuPUrZ2nSjxOaabCxsuZ3JwckovJzpR8Owba1EfjVPbjgUXlp42OwMzFHZWj8R9bKkf9cyQnMf6+PTiaAH22UavmbbFq3tboMWZOLnj9388ARH38hj5Lm5kaMxc3dOlp6BKNz3nUxkZh5uaJytbelMuqcOJvRuHg64JtMc8LW0/98yIlJrHUPTg1OjYEIHiH6QsKewbUQONgTXJkfLGpqyub8BuReFR3w9Xb+Hefi5d+e3x0QrHzdIxJjk/h92+LziGu2agaKjMVcVHxpOYliYi4EXnfNNT56aO1WtMSQVRWj3sw8iiUeYBTcJjazJkzAdi+fTvZ2dklZvVKSkrit99+Y9++fVy/fp3YWH3qwuIm1EPxk5Lye0/yezIiIvRZkYwFKwDe3t6F/js6Otro9oJ8fHw4deqUoZ4l1Sl/pdd75xZkZGTw+++/s3PnToKDg4mKiiI3NxeFQnHfeQiNGjWiUaNGTJ48maysLI4fP84ff/zBpk2bOHz4MPPnz2fGjBkllnE/9vZFvxzz/z4cHByK3VeZJF0OwaVtY+wb1iRs474i++0a6nv3Ei/eNK28Szex8nbF1q+60f2W7k4o1Wbk5ujIiLyDhZMdCWeLn1hs16AmSjMVKdfD0KamkxFVORdyvXPpNr4dGuHSqDqXNxTNIOfiXwOA2POl7/1zbaw/N/JEyRO0m4zvQ8DYntzef56dbxifY2Plqr/n02KTjO4Xj7fs2zexbNgU8+q1STtUdKK5eXV9z19WiPF1tQqVFRla7DwTpcYatYc3udnZZIXq147K1ep/ZDqMeAGr5m1J3b+DxD9WGj1fZa8PAHKKCYAquuiLodTs2AiPxtU593vRpCEejfXP16hzxtdcKYln3rlhx01P6OCRt2ZM2In7/71WFtfP3aJ5lwDqNq3FDiNpsus20X/3BZ82vnbZvfxa1KFOQA0uHQ/mmpEgsHkX/QvvC0FXDNuunb1J12EdqOVv/PsSwCMvnXX07cd7fTJRemUe4FhZWdG5c2e2bt3K+fPnadSoEVu2bMHBwaFIj0W+K1eu8NxzzxEXF4eLiwuNGzemdu3aNGzYkOrVqzN06FCj55n6gzq/J6S4oVv3BhOmTHLOydG/Tbi3R8rUOkVFRfHss88SEhKCnZ0dAQEB9OnTh/r169OmTRu6detWqL6JiYncuHEDW1tbatcuPHzG3Nyctm3b0rZtW5o0acKcOXP4+++/TQpwShrOZmZW5rdHhROz9xS1xvbDtUMTzGytCqWFRqnAq48+uUTk9iCTyovadQKP7q1w69yM68s2khlbOFWrz5P6xa/iT19Fm5LOnaAL3AkqPt1oxz+/wNzehsvz15JwqvKmjg7ZfZqm4/tQrXNjjn5jRVaBNK8KpYI6/fSrW1/bWnQcdklUFmrsqum/AO9cLn5xRIDIE1cJGNsTr0A/rD0cSY0s/OPP1tsZ77b61bhDD5wvVT3E4yH97DFsez+JpX9zFBprctMLpNhVKNC07KA/7vj9M3MlFROcAFg0aILz+NfJSU7kzsJPC+3LCr6EVfO2WDZtTdLm9UXm7pjXrIvauzq5Wi2ZVyrnfXxt5xkCX+xNrS7+WNhZFUoLrVAqaNBf3/tVmjk0oM+45pD/g/mS6cNZXf30Lztj7vOMqUyObjvJsMkDaNm9Kdb2VoUm8CuUCjoN1vcq7t90xKTy6jSpybMzh3Hw76MsmL600D6NtSXdR+inJ+z49e76TEHbTjL23ZG4+bjQolsTju8s3KvWvGsALl5OpKdmcPZg5U7LfT+V7/VwxVemc3Dy9enTB4Bt27YRHx/P4cOH6d27d7E/mD/66CPi4uKYNGkS+/fvZ9GiRcyYMYN+/fqhNjHVZkk8PDyAuz0594qMLLzwopub/gGYn5/bmNu39YvgPWju7q+//pqQkBCGDh3KwYMHWbZsGW+//TaDBw/G1ta2SOCxb98+RowYwVdffVViucOGDQP0AVG+/KArPygrKCnp8X5TnXI9jNhDZzGz0dD4wwmY5c25UZqb0WDGs1jX8CQ1JJKYfYUfvGp7a6yquaPxKvz3H3vgDAnnrmNmZUmTz14ptN+tawt8B+sDnJt5yQYeF/HBEdzefx5zGw1dPh1rmIujNDej3TsjcajpQeLNKELyUo3ms7C3xq66G7bFDKNwrO2JUqUkLTaxUNBkTETQFWLP30KlNqPLZ88bFh8FcKjtSff/exGVhZob208QV4V+yIiyo40IJePCKZQaK5yem4Qify6OmRqHp15A7eFNdnQEGecK//BWWtvoh4w5Fz981VTpJw6hjYtFZWOH45hJKAsMQzOvVQ/HMZMASNm7tdKuhXMnOIIb+85jYaOh7+fPGebiqMzN6DZrBE61PIi/GcW1XYWfF5b21jhWd8OumOeFcx398yI1NqlQ0HQ/LnkLUsZdK36R5som5EoYJ3afwcpWw+vfvIRN3pwbtbkZL348Bp86XoRdj+To9lOFzrN1sMarpjtuvoW/+47tOEV2VjZt+ragXb+7i73bu9gx/duJOLrZc3L3WS6fuLtGTnJ8Cn//vAOAlz4dQ+N2DQz7qtXz5vn3ngZg8887SjVMTgh4BD04oE8dp9Fo2Lp1K76+vmi1WqPZ0/LlJyR4+eWXi/SAHDigH87yMBPn8xch2r17N1OmTCm0Lzc3l127Cg818Pf3R6PRcObMGcLDw/Hy8iq0PyQkhAsXLmBra0v9+g+W2SM/c9v48eOLBHH51wz661YqlTRp0gSlUsm+ffu4ffs2vr6+Rsu9cUPfnVynzt1xrdbW+gdXTExMsfV4nF2a+ystFnjh1NyPDms+JjUkEo2nC2o7a7JT0jgza3GRNJk+g7tQa2w/0iPvcHDke3d35OZy7oMlNJs7Fdu6vrRZMZvUm5GYaSwMwc61ZRuJP3H5f3iFFcPhz9fiWHsqni3rMfTP2STejMLWyxkLe2uyktPZ9daPRdq5/vCONB3fh5SIOH4fPKdImRpn/byvrLzJqvez+92f6b1wEi4NqvHkb2+TFBINCgX21d1QKJVEHL3CwU9/e/iLFVVWwvrluEz2waJuQ9xnzUUbHY6ZsytKKxt06WnE/zS/yH1s3b6HPh10XCzRn7zxUJ+fm51F3M/zcX7xDSzrN8Z91lf6pALmFpjlZU1LO3GI5AdMO11R7PpsPc61PfFtVZexf71H3I1o7L2dsbS3IjM5nb/f+KlIOweM6EDgi71JCo9j+cCPi5Rp5aIfQl6a4EZ/Xt78UhOfM5XFstmr8F3tRaM29Vmw8zPCr0fi5uOCjYM1qUlpzJ38fZERLb2e7cqwyQOICYtlSvd3DdujQmJY9cXvjJ01klf/bzwjXn+StKQ0vOt4ojZXc/3crSI9OwDrFmzEo4Ybgb2a886PrxF5K5rM9Ex863mjVCo5ufssfyza/MjborwpFFV7IdPy8Eh6cDQaDZ06deLGjRssW7YMV1dXQ5BhTH4Py7///lto++7du1mwYAHwcBPXW7RoQaNGjTh//nyhxS5zc3NZsGABly/rf2zmB1cajYannnoKrVbLtGnTCi1eGRcXx7Rp09DpdDz11FNGkyaYIn8+0L35wU+dOmVIdQ13r9vX15eBAweSnZ3N2LFjOXz4cJEyr127ZhiWVnANoHr19ItKbtu2rVA66ZMnTxpNv/24yYxJIOjF/3B7/S6yElOwqeVNbo6OyB1HOfrS56SFlO6tXWZsIkETPuPask15SQxcUVlZcCfoPCdnLODmiser9yZfWkwifz33FRfW7Pl/9u47PKpiDeDwbzeb3nsHQoDQS+i9g0iTokhTQEFRsGNXlCsiimJDkC5NEaQL0glVQu81JKSQSnrPZnP/2CQkZJMskJjC9z5Pnus9ZXZ2cjg535mZb8iIT8G2jhuabA23dp5i24RvSQh68FTnednXMpP1S7GbEhHH1nHfcn7ZLhJDY7B0d8DMyYaoC0EcnfUHu1+fn5/SWghdNAlxRM+dTvLBXWhSkjB09SQnW0Pq6WNEf/856ijdIwXKkjosmOhvPyX54C6yE+JQObmhNDMn4/olYn/7mfjVv+q1dklllhKVwNqx33H294OkxaXgUNcVTXY21/45zdrn5hIXFPXAZeZlX8vQ834B2uFaxhYmuedVrwAnNjKeD4d9yY4Ve0mKS6JGPXeys7M5ss2fj5/WBjwPYueq/Xw7ZT5XTlzH0tYC9zquRARF8cfcTXw2+hvSdKzxlp2Vzfev/cq8d5dy9eQNrOwscfRwIPBSMEumr+abV+aRnVW9EwyI8lFukyz69evHzp07uXXrFmPGjCmScaugcePG8dlnn/Hmm2+yatUq7O3tCQgI4ObNm7i6uqJQKEhMTCQzM/OhA4pZs2YxZswYfvjhB7Zv3463tzc3btwgICAAT09PQkJCCg2he+utt7h8+TInTpygV69etG6t7XL19/cnJSWFTp068cYbbzxUXQCee+45Dh8+zDfffMM///yDm5sboaGhXLp0CWtraxwdHYmOjiYmJia/t2bGjBnEx8dz4MABnn/+edzd3alXrx5GRkaEhITkrz8zZcqUQgkd2rVrR8OGDbl8+TL9+/enbdu2xMfHc+rUKQYNGsTmzZsf+ntUF+rEFK7/vI7rP+u3SGlgKdnMNBlZBK3cQdDKHY9Ur0OD332k8yubjMRUTszdyIm5G/U6/tzifzi3uPiA8Oa249zcpt8Y8TxZyWmc+XU7Z36t/m8Fy8KF49cYUOeFiq5GpZKTmkLi5jUkbl6j1/FJuzaRtGuT3uVnXDnHnbfHlXiMJjH+gepQFaUnpHLo200c+naTXsf7L9yJ/8Kdxe6/ssWfK1v0m0+ZJ0eTw89tHq3XrTJLjk9hxZd/suJL/ZYp+Ovnbfz1c9EsaXlO7jnLyYdIpX14y3EOb3mwe7kQJSmXHhzQZlMzM9OOmy0pexrAyJEj+frrr2nYsCFXrlzhwIEDaDQaXnzxRTZt2kTbtm1Rq9X5KaMfho+PD+vXr6d///7ExMSwb98+TExM+Omnn+jZsydQOAOaiYkJS5cu5YMPPqBmzZocO3aMkydPUq9ePb744gsWLVr00MEWQNeuXVm4cCEtW7YkODiYffv2kZiYyMiRI9m8eXP+PKaCPTzGxsb8+uuvzJ8/nwEDBqBUKjl+/Dj79+8nISGBp556irVr1zJ16tRCn2VgYMCyZcsYM2YMpqam+Pn5ERcXx4cffsiMGUWH/QghhBBCiP+GrINT9hQ5+qQMq+ISExMJDw/H3d0dCwuLIvsnT57Mvn378nt2ROWzt9srFV2Fai80/eEDdqGfdTH6LZgnHt7CwTKc5b/wl5/uNWpE2TmanFL6QeKR/X7114quAls7Ty39oIcw8NBP5VJuVVBuPTiVSXR0NIMGDWLYsGEkJRV+wDh48CB+fn54e3tLcCOEEEIIIf5T0oNT9qr/QieAt7c33bt3Z//+/XTr1g1fX19MTU3z57xYWFgwa9asiq6mEEIIIYR4zEgWtbL3WAQ4AD/++CN//fUXmzdv5sKFC6SkpODk5MSIESOYOHFisWmXhRBCCCGEEFXHYxPgGBkZMXLkSEaOHFnRVRFCCCGEEAKQ4WTl4bGYgyOEEEIIIYR4PDw2PThCCCGEEEJUNtKDU/akB0cIIYQQQghRbUgPjhBCCCGEEBVEenDKngQ4QgghhBBCVBCFRDhlToaoCSGEEEIIIaoN6cERQgghhBCigiiQhT7LmvTgCCGEEEIIIaoN6cERQgghhBCigsgUnLInAY4QQgghhBAVRJIMlD0ZoiaEEEIIIYSoNqQHRwghhBBCiAoiSQbKnvTgCCGEEEIIIaoN6cERQgghhBCigsgUnLInAY4QQgghhBAVRAKcsidD1IQQQgghhBDVhvTgCCGEEEIIUUEkTXTZkx4cIYQQQgghRLUhPThCCCGEEEJUEEkTXfakB0cIIYQQQghRbUgPjhBCCCGEEBVEpuCUPQlwhBBCCCGEqCgS4ZQ5CXBElaDOkdGU5a2xdUpFV6Ha690xu6KrUO1N2mxQ0VV4LDQ201R0Faq9ebPdK7oKQlRZEuAIIYQQQghRQSTJQNmT1+JCCCGEEEKIakN6cIQQQgghhKggVXEKztGjR1mwYAHXrl0jKyuLRo0aMXHiRLp06aJ3GSkpKSxZsoQdO3YQGhqKqakpvr6+vPrqqzRp0uSR6ic9OEIIIYQQQlQQhaJ8fsrLhg0bGD9+PGfOnKFp06a0aNGCM2fOMHHiRNauXatXGfHx8YwcOZJ58+aRkpJC165dcXFxYf/+/YwaNYrz588/Uh2lB0cIIYQQQghRqsjISKZPn46lpSVr1qyhXr16AJw/f57x48czc+ZMunXrhrOzc4nlzJo1i2vXrtG/f3+++uorjIyMAFiyZAlff/01H3/8MVu2bHnoekoPjhBCCCGEEBVEQU65/JSH1atXk5mZybhx4/KDG4CmTZsyceJEMjIySu3FuXPnDps3b8bT07NQcAPwwgsv0KhRI9LS0oiNjX3oekqAI4QQQgghhCjVoUOHAOjVq1eRfXnbDh48WGIZu3btIicnh9GjRxcKbvJs2LCB3bt3Y2dn99D1lCFqQgghhBBCVJDynC9TlnJycrh58yZKpZLatWsX2V+rVi2USiU3b94kJycHRTFf7PLlywA0adKElJQUtm/fzsWLF1GpVLRv356ePXsWe66+JMARQgghhBCiglSR+IaEhAQyMzOxs7PT2fOiUqmwtbXl7t27pKSkYGFhobOc4OBgQJtoYODAgYSFheXvW7VqFe3bt+fnn38u9nx9SIAjhBBCCCFENbNhwwY2btyo9/FDhgxh6NChxe5PS0sDwNTUtNhjTExMAEoMcJKSkgD44IMP8PT05Ntvv6Vu3bpcu3aNzz//nGPHjjF9+nS+/fZbvet+PwlwhBBCCCGEqCDllRAgLCwMf39/vY9v06ZNifuVSv2n7ufkFP+dMjMzATA0NGT58uVYWVkB0LJlS5YsWULfvn35+++/mTJlCl5eXnp/ZkES4AghhBBCCFHNuLu7lxq03H98SczMzADIyMgo9pj09PRCx+qS18szYMCA/OAmj6OjIz169GDr1q34+/tLgCOEEEIIIUSVU06TcIYOHVrikLMHZWFhgZmZGXFxcajValSqwmGEWq0mLi4OY2PjIoFLQXnZ0YoLqPK2x8XFPXRdJU20EEIIIYQQFURRTj9lXk+Fgjp16pCdnU1QUFCR/YGBgWg0mkLr4+iStz8qKkrn/ujoaADs7e0fuq4S4AghhBBCCCFK1blzZwD27NlTZF/etq5du5ZYRpcuXfKPV6vVhfZlZmZy/PhxQDsn52FJgCOEEEIIIUQFUShyyuWnPAwdOhRjY2MWLVrExYsX87dfuHCBxYsXY2JiwqhRo/K3BwcHExAQkJ85DaBDhw7Ur1+foKAgvvzyS7KzswHQaDR8/fXXhIaG0rFjR51r7ehL5uAIIYQQQgghSuXh4cF7773HjBkzePbZZ2nbti0Ax48fR61WM3v27EJDy8aNG0dYWBizZs3Knw9kYGDAd999x/PPP8/q1as5cOAADRo04Pr16wQHB+Pq6sqMGTMeqZ7SgyOEEEIIIUQFqSpzcPKMHj2aBQsW0KxZM06fPs3Fixfx9fVl2bJlDB48WK8yvL292bRpE2PHjgXAz88PtVrN6NGjWbduHR4eHo9UR+nBEUIIIYQQQuite/fudO/evdTj9u3bV+w+BwcHPv74Yz7++OOyrBogAY4QQgghhBAVRlGe3S2PKQlwhBBCCCGEqDDlkxDgcSZzcIQQQgghhBDVhvTgCCGEEEIIUUFkiFrZkx4cIYQQQgghRLUhPThCCCGEEEJUEOnAKXsS4AgBqCxMqTPuSZw6N8PY3orM+GRi/C8T8NsO0iPjHrxAhQKPAR1we6ItFrVcURoakHI7ktBtRwjZfFjnKS1mvYRThybFFpkeFYff0588eF0qEQMLM1zHDMSmQwsM7axRJySRePIS4au3khkV+2BlWZrTfP33JR4TvuZv7vy2qdA2hZEhzsP6YNetNcaujuRka0gLCiX674PE7jn2gN+o8lGYmmHZ5ylMGvtiYGWDJiWJ9KsXSN69mey4u49cvmGtOji8+iHZ8bFEzXxH5zFKS2ssew/CuEEzDKys0aQkkxl4neQD/5AVEvjIdaiOFAoFc9Z9iEsNR0a3eaOiq1MpmFqa0nPyEzTq0QRLRytSYpO5fuQqe3/dSXz4g9+XrZyt6TGxDz6dGmDpaEVGcjq3zwXht3Qvt88Wf126N/Cgy/ieeLWsjZmNOcl3k7h68DJ7F+wkKSbxUb5ihUtMzWDJngscvBhCTFI6NubGtPNxY0KvxrjaWjxweUFRCaw6cJlTAZHcTUzD2NCAOq62DGrjTb+W+q1Kr87WMO6HHQRExDPvpV74ejs/cD2qGoVCkgyUNQlwxGNPZWFK21/exqKmC+qUNJIC7mDmZo9H/w44d2mO/2vfk3zrjt7lKY1UtPhiEg5tG5KTrSElOBIDU2Os6nnS8K1nsW1Wl/MzlhU5z9LLDYD4S4HkZGuK7M+MT3r4L1kJGFiY4TP3fUxruJKdkkZaYCjGro44PNEJm44tuD7tG9ICw/Quz9TLHQB1QhLpIRE6j8mMKvxArzQxpt7Xb2Pu40VOtob0sEiURoZYNKyDRcM6WDatx+3vfnv4L1nBFKZmOEz9GENnNzTpaWSFh6Cyd8S8bRdMm7Qk5pdZqMNDH/4DVIbYPDMBhbL40c0GtvY4vP4pBpbWaDIzUEeGo7S0wrR5W0yatCJhwwpS//V7+DpUU2PfGoJP89okxFbtf+dlxdTSlMkr38CptjPpyelEXL+DnYc9rYe2o3Gvpvw6/iciboTrXZ6TtwuTlkzBws6CrPRMom9FYuVkTcNujfHp1ICNM/7k5KbjRc5rNaQtQz55BgOVAYnRCUQHRuHo5US7ZzrSsHtjFjz3I7Fhj/7ioCIkpmYw6Zdd3I5KxMxYRR0XG8Jik9l2IgC/iyH88nIv6rja6l3eocuhfLzqMJnqbIxUBtR0siI2KZ2zgVGcDYzi32vhfDayA4pSJpws33uRgIj4R/x24nEnAc5/JCcnp9R/1KJiNJo2CouaLkQfu8i5z5eRnZaB0khFw7eexb1fO5pNH8+R8V+CRr83LPVeGoxD24akRcZy+v0F+cGRY/vGNP10PK49WxJ97CLhu0/kn2NgZoKpqz3qlDSOv/JtuXzPilbzjecwreFKwvHz3Jq1EE1aBgpDFTVeG4NDn454fTCJyy9/pnc7m3ppVzmOPXCCkF9+1+sct+cGYe7jRWZ0HDc//Ym0WyEAWLdrRu2PXsKhbyeSzlwldn/RB52qwObp8Rg6u5F++Rxxq+aTk5GuDUqGPYdZm87YjplM9JyPIefh3hZa9hmMobNbicfYPj8VA0tr0i+fJW7NInLSUgAwa98dm+HPYz10LBkB18iO1h2UPo5GvTaIZyb3r+hqVCpDPxuBU21nrh68xJp3V5CZmoHKSMVTHz9Nq6faMvLr5/l+2Gxy9LxfPDNzNBZ2FgT4X2fNtN9IiUtBoVTQ+5V+9JjUh6c+fpqAEzeIC7vXk+zewIOhn44ABWz9eiNHVx8kJycHS0crxnw7nprNvRgy/RmWTJpfXs1Qrr766zi3oxLpUN+NGaM6YW5iSEZWNt9s9Ofvk7f4ZPVhVr3VH4MSXmjkiU1K47Pfj5CpzmZwmzq8MaglJkbaR0y/iyHMWHuUXWeDaFTDnmc61S+2nJvhcfy2/1KZfceqQh4Py95/kmQgLi6O77//niFDhtCqVSuaNGlCt27deOONNzhw4ECZf97+/fvx8fHBx8eH7du3l3n5DyI7O5vVq1cza9asMikvNTWVRYsWMWLECNq2bUvjxo3p3LkzL7/8Mlu3biXnIR9cHlfmNZxx7tIMdWo6F2auIDstAwBNppqLX68mOSgci1quOHdupld5pq72eD7VBY06m1Pv/lKo5yf62EWC/twLgPuT7QqdZ1lb+9CYHFQ9H/qMPV2w6diC7NR0Ar9Zgia3nXOy1Nye+xtpt+9gWtMNmw4t9C4zrwcn7bb+vWt2PbXtHrpoXX5wA5Dw7zmiNmtXW7bv3V7v8ioTlZMrJk1aoklPI27NQm1wA6DOIv7PpWRFhGHo4o5Jk5YPVb6he00suj2BJjOj+GNq1MbIsxaa1BTiVv+aH9wApB7bT/rlsygMVJi16vhQdahubBys+Gj+FEa9Nriiq1KpONZyolHPpmSkpLP2w9VkpmqvOXWmmr8++4PIgAicvV1o1LOpXuU51XbGo6EnGo2GPz5YRUqc9rrM0eSw6+fthFy4jcpIRbN+voXOe/LtwSgNlPgt3ceRVX75f1+TohNZ+8EqNBoNddv5YPMAvRyVRVBUAgcuhmBmpOLTZztgbmIIgLGhAR8Mb0stJyuCohLxu6hfj+8W/wBSM9T4uNvx7tA2+cENQNfGnkzu1xyAPw5dLbaMbI2GL9f9S05ODioDyYElHk25X0EXL16kb9++zJ8/n4SEBJo3b07Xrl2xs7Pjn3/+4aWXXuKdd95Boyk6JOdhbdiwAUNDQ5RKJX/88UeZlfswtm/fzowZM0hMfPRxuqGhofTv3585c+YQFhZGw4YN6dGjB66urhw6dIh33nmHcePGkZ6eXgY1fzy49m6NQqkk+uhFspJSC+/U5BC2418AXHr46jhbR3k9W6FUGRC++wQpOoKVsB3/cn3RFsK2/1tou0V+gKP/kIuqxL5HOxRKJQnHz5Gto53v7joCgF3X1nqXaVpL24OTrm+AY2CAoY0VAGlBRYfCpd64DYCRk53edahMTH3bo1AqSb98tlBgAUBODqkntHO/TJu3ffDClQbYPPsC5EDy7i0lHKck1f8QKf8eICc9rcjurAhtuxvYVM02LkstOjVi4Z4vad+7BbFR8Sz/Zn1FV6nSaDGgFUqlkit+l0hLLHy/yNHkcGqztoe1aV/9XohYOVkDkBqfSlJ00b/FYVe0D/E2LvcCFStna7xaeZOenM7+xbuLnBMbdpe/v9nElll/ka3O1u+LVSI7TweSkwMdG7pjbWZcaJ+BUkn/Vt4A7Dl3W6/yTt+KBKBbY0+UyqLdER0baF9IhcelkJiq+yXJGr8rXAmNZVSXBpgbG+r9XYTQpVyHqKnVal5//XUSExP54osvGDZsGMoCXZ1Xr17lpZdeYuvWrTRu3Jhx48Y98mfGxsayf/9+mjZtSk5ODsePHycwMBAvL69HLvthlGXg9u6773Lnzh2mTp3KSy+9hKHhvRtASEgIU6ZM4d9//+Xbb7/lo48+KrPPrc6sG9YCIP7iLZ374y8HAWDbpI5e5dm1rAdA1OHzOvenR8QSuGpXke2W3tW7B8e8vvbfX/LlAJ37U65qJ/haNK6rd5mmtbRtlnZbz3k72dlkxSViaGuFWW3PIoGRaU1teQ+a7KCyMKqpncCbGXRT5/6s29q2N/Kq98BlW/Tsj6FbDZJ2byGrhDk8WUE3iS/m8wGMPGoCoI6JfOA6VDeedVwxMTNm38ajLJr5B7V8PCq6SpWGZxPtdVLcxP/g89qHbi9f/SatJ0QmAGBhZ4GVkzWJUQmF9jvXcQEgPuJe4oI6beqhVCoJ8L+R34N0vyOrD+r1+ZXRpRDtvKEmNR117m9c0wGAc4FRepU3qU8z+rbwooGH7pcX6Zn3gsBsHcMKg6MTWbz7Ap4OlrzQuylb/HX/raiuJMlA2SvXHpxTp04RGhpKhw4dePrppwsFNwD169dn+vTpAPz5559l8plbt24lKyuLDh060K9fvzItuyKFhoZy6tQpatWqxZQpUwoFNwCenp58/fXXAKxfv16GqunJzF17E08N1z1JND1C+7BrbG+FgalRqeVZ5CYKSL4dgcrchJrDu9H8fy/Scs6r1J8yDPOaLjrPyxuilh4Ri+fgTjT7/AVafTeVxh+MxbFj8ZnVqgpjNycAMiJidO7PiNS2v6GdNUoTY53HFGTk6oiBqQlZd+NR2VjhPmEodWa+QZ2Zr+P+wrD8z7tfzD+HAHB/YWj+EDcAy+b1cRrWG4CorQf0/VqVioG9NtNQdqzuNs6O0243sLJGYVR6G+dRubhj2WsgWZF3SCqp96YECjNzrAY9i3G9xmSnJEmSAeD6uUBeHzyD76YtISk+pfQTHiP2NbT35dgw3S8b4u5ot1s6WGGkx305OjCSoDPal1hPfzEKMxvz/H1dx/fEy9ebjJR0Tm+9Ny8yL+iJyu2Z8OnUgOGfj+SFhZN5dvZzNOmt37Dlyio0RpvMws1Od6Y0l9w2ik1OJzUjq9TyGtd0oH+r2tR2sdG5/+Al7ZBgW3NjbMwL339ycnL4ct2/ZGVn8/6wthgbGuj7NYQoVrn24Ny9q31oKWlyfYcOHRgwYAB2dmUzZGHjxo0A9O3bFzs7O7766is2bNjAm2++iZGR7hvh9evXmTdvHqdOnSIpKYmGDRvy6quvcv78eX744QdWrFhB27b3hnUEBASwbNkyjh8/TlSU9u2Gq6srPXr04OWXX8bKSjsMZuzYsfj7++fXa+PGjUyZMoWpU6cCEB8fz/Llyzlw4ADBwcFkZmZiZ2dH27ZtmTx5MrVr33s7FRtb+ltlHx+f/EAyNTUVc3PtDapHjx6EhYXh5+eHi0vhB+yPPvqI9evXM2vWLIYOHQrATz/9xM8//8yiRYtIT09n4cKF3LhxA0tLS/r06cO0adMwMjJiyZIlrF+/nsjISDw9PRk7diwjRowo/ZdUiRhZWwKQlaj7ASMr6d52Q2sLstOK/z0ojVQY22rLM3GypfV3UzFxujfkwaF1AzyHdOHK3LWEbjta6Ny8wKjxB2NQmZkU2uf+RFui/73Euc+WkJ2W+QDfrvJQWWv/iGYX087ZBdpZZW1BZnrx8zwATGtpgxMDc1Ma/foZCoN7fxCtWzXGaUgvQn75nZjthd+w3lmxGQMzUxz7d6HBvE9ID4tCoTLAxM0JdUISQb/8QcKxsw/zFSuc0kJ77WlSknXu16Tea2OluSXZJcylyadQYDPiBVAakPDnUshWP1CdjBs2x6r/06gcnFCoDMkKDyHu90VokhJKP7mau3rm8XpD/SDMc9MTpybovl+kJaQWOjazhPtynpVvLuXZWWOp296H93dOJ+Z2NJYOllg6WBEZEMFf0/8gMfLedZk3XC0jJZ2xcycUme/TvJ8vVw9dZvXby8hKLz0AqGziU7T//u8fnpbHyuze81JCSgZmjzBk7G5SGqv9rgDQu0WtIs+E645c41xQNIPb1nksUkLrIjkGyl65Bjg+Pj4AHD58mAULFjBmzBgsLAq/LTAxMeHbb8sma9SVK1e4cuUKDRs2pG5d7VCXzp07c+DAAXbu3MnAgQOLnHPy5EkmTpxIamoqjRo1wtfXlzNnzjBx4kQaNWpU5Hh/f38mTpxIeno6TZo0oUGDBsTFxXHmzBmWLFnC8ePHWbduHUqlkg4dOpCVlcWZM2fw9PSkefPm+W0SExPDiBEjCA0NpWbNmnTo0IG0tDQuXrzIli1b2L9/P1u3bsXV1RWAWrVqYWxsTFBQEF988QWvvPKKzqDwiy++KJO2BFi1ahV+fn40btyY9u3bc+LECVavXk1MTAxKpZJ9+/bh6+uLu7s7//77L59++ilqtZrRo0eXWR3Km0HuTVtTzBuq7ALbDUq5wRuY3gtMmn06jqzkNE5Nm0fs2RsYWltQ65ke1HqmBw3fepbUsBhiz1wHtMGQoaUZAKlhMVxfsIn4i7dQGqpw7NgEn1eG4tiuEY3fH8O56Usf6ftWFGXuywVNpu4AreB2pVHpf0jNamuH8yhNjInedoDIjXvIjIjByMke5+F9cOzflRpTR5N1N56E4wWGC2pySAsMJfNuAsbO9pjWcM3fpU5KJTu16LyRqkJhqG3jnCzdbVxwu8JQv4cV865PYFSjNimH9xQ79K0khu41MHS511OmtLDGpEEzksOCH7gs8fgwzL3XqosJHLIK3JdVej54qzPVBJ8PomZzL4xMjXCrf++6TIxOQJ1VOHg3zu1l6DS2G6aWpuz4fisnNx0nMzWD+p0bMvijp7X/++Fw1n+qXxbHyiQjSztkrLjekoLb8459GGmZat77zY+ktExszI15vnvh56rw2GQW/HMOBytTpjypf5IZIUpTrgGOt7c3Q4cOZcOGDcydO5d58+bRunXr/J9mzZoVGWr1KP766y+A/J4IgGHDhnHgwAHWrl1bJMDJzMzkgw8+IDU1lf/9738888wzAGRkZDBt2jR27txZ5DNmzJhBeno68+bNo1evXvnbg4ODGT58OBcvXuTMmTO0bNmSyZMn4+bmxpkzZ2jVqhVfffVV/vHz5s0jNDSUcePG8f777+e/0UhOTmbixImcPn2aTZs2MXnyZACsrKyYNGkSP/30EytXrmTNmjU0b96cNm3a0KZNG3x9fTExKfzm/1H5+fkxc+ZMhg8fDmjnTD311FPs3LkTa2trNmzYQJ062rkpf/75J5988gl//vlnlQpwcjQaFCVkayn0pqmUUX8GBbLGGJgY8+9Lc0iL0PZiZkTHc23eBoxsLHDr04a6Ewfmp4POyckh8Pc9GFqZcfWn9fm9NNnpmdz55zgpQRG0/eVtXLr5EtRwHwm584KqktLaGcW9ffoMrky9GUz0336kBYURvWV//vaMO1EE/7iKHHU2ToN74DFxeKEAp+bb43Ho04H0sEhufPQDSeevoTQxxq5LK9xfHIb3xy8T/MvvROdmVKtSNBooKZ2r4sFGJBs4OGPZ9ynUcXdJ3P5wE+BTjx8kxe8fFKbmmDZpieWTw7HqNwwDKxsSNqx8qDJF9afRaFCWdF8uOIldj+HYJpamTFr8Km4NPLh+5Co7vt9KVEAEVs7WdBrTlY6ju1JjWS2WTJpP8Pkg4F7gZGFnwY65W/Fbtje/vAu7z5GWmMaLi17Bd1Br/JbtIzqwas0rUyoVaLKLb7tCzfqQ3QupGVlMW+bHpeC7GCgVTH+2A3aWpoWOmfXXcdIy1Xw2sgMWegw3rLZkDk6ZK/csav/73/+YOnUqpqamZGZmcuTIEb7//ntGjx5N27ZteffddwkOfvS3eVlZWWzbtg1DQ0MGDBiQv7179+7Y2dlx4sQJAgIKDwnw8/MjODiYnj175gc3AMbGxnz55Zf5Q83yJCcn07hxY5555plCwQ1AjRo1aNdOm4I2PLz0TFi2trZ07tyZqVOnFnqItrCwyK///eVMmTKFTz/9FGtra7Kzszl16hTz589n/PjxtGnThldffZXLly+X+tn6aty4cX5wA9o5U97e2swqzz33XH5wA9ohgUCZ/C7/S9np2mBCaaQ71i+4PTuj5OFh2Zn33ire2eWfH9wUdCs3wYBNIy+MbLS9mRnR8VxfsIlLX6/ROQQt4ept7p66BoBjh6o5H0eTO+SsuJ4DpeG9ds4ppZ0BEo6fJ/jHVYWCm4LC/9CmhzfxdM2fj2Pp2xCHPh3ITs/gxgffk3jyIjmZWWQnJhO97QC3Zv4KgMcLw1DZWOr/5SqJnMyS21ihKtDGxfTyFGQzYgJKI2MS1v92L+X0A9IkxpOTmYkmIY6Uw3uIX7MQ0K6JY+DweA5FEaXLyr0PFtc7oypwv8jSY35I1/E9cGvgQfj1OyyfupDwa2Fkq7OJC4tl6+yN+C3bi7GZMYM/Gnav3Nzeo4yUdA6vPFCkzJvHrxNy4TZKpZIGXRs+wLerHExz/7ZlFpMBruD2h5kTE5ecztSFezl9KxKlQsFHT7ejnU/hNbQ2H7/JiRsR9Ghagy6NPB/4M4QoSbkHOCqViilTpnD48GHmzJnDkCFDcHfXdg2npKSwefNmBgwYwN69e0spqWT79+8nLi6OHj16YGt7b96DoaEhgwYNAmDt2rWFzjl6VDsPonfv3kXKs7CwoHPnzkW2ffXVV/zvf//L35aTk0NYWBi7d+8mJEQ7iS4rq/Qb7muvvcbixYsLDdmLjY3l2LFjnDx5sthyRo8ezcGDB5k3bx7PPvts/jydjIwM9uzZw/Dhw1mzZk2pn6+P5s2bF9mW17b16xdeqCsvGMzI0GNcfyWSlTvG29DKXOf+gtsz43XPbcijTkknJzdrXlKA7tTFqaFRaHL/cJi62Otdz6Sb2sxVps5Vb70FAHXuHBuVpe52VhVo56yEkttZr8+LTSArTpsO1shZ2862nbSpvuMOnCAzsuhE/MQTF0m5cRulsRHW7areBGJNqrbdlGa621hpfu9eo0lOKrEss449Ma7tQ+rpY2Rc1Z0R8GGkXzyNOiochVKJkZf+GfPE4yUlN+mCqbWZzv0FkwSkxJV+v2jcS/vv+eDyfWjURTObHli8h2x1Nu4NPLH31CY4SE/SDleNCowqNg10ZIA266Wtu/738soib45NcSmbEwpstzV/sNEhYXeTmDhvJ5dD7vXc9GtZOONdVEIqP/99GktTI94e3OoBa1/9KBTl8/M4K9chagVZWFgwcODA/GFioaGhHDhwgGXLlhEaGso777zD3r17HzrZwIYNGwDtPJyxY8cW2hcXp039uHnzZt5++22MjbVja/N6SPLmudwvLxC734kTJ/jzzz+5fPlyfnIAuDecSd8MZsHBwaxatYrTp08TGBhIcnKyXuWYmJjQq1ev/F6k6OhoDh48yPLly7l+/Tr/+9//aN26df48pIdlbW1dZFte3WxsbHRur2qSgyMx83DE1EX3dWfqrN2eHpNQ7DydPDnqbNLC72LmrjvtJuT+TnN/r5rswn80FYYqcrKKmcSd27yaKrjeAkB6SAQmbk4YFRPUGTlpt2fejderBwcAAwPI0UBxK5nntllem+YFOukhxfewZoRGYl63JsZOVe+BRR0VjsrBGQNbB537DWy13yk7Ia7UHhzTptr1iMx822Pmq3vhU5WdA27fLgcg8ot3tFnaVIaoHJzQpKWiSYjTeZ46JhKVkysGlkXvL0IARAdG4VDDEVs33fdlWzfti57EqAS9JvjnLcRZ3DCytKQ0UuKSsXK0xsbNlrshMUQHlZ4eOSf33lMV78s1Ha0Iu5tMeJzuRA4RudsdLE0LLdpZmpvhcbyxeB93k9IxMTRg5pjOdGhQ9FnqxI1wknN/d/3/t6HY8l79dQ8AL/Rqwot99FvYtSqqmk9QlVu59uDcuHGDo0ePkp1d9B+/h4cHY8aMYdOmTdSqVYvU1FT27Xu4ce/R0dEcOqRN/xocHIy/v3+hnxs3bgDarGU7duzIPy+vh6S4QELX9unTpzNmzBj+/vtvTExMGDhwIO+//z5r165lyJAhetd569atPPHEE/z2228kJSXRpUsXpk6dysKFC/n888+LHH/79m3+/fff/CCoIEdHR4YNG8Zff/1Fy5Yt0Wg0bN++Xa96lLROj0r1n8W/FSbxmnZInXVD3eskWTfSbk+4EqRXeQlXteszWNevoXO/qbMdSkMVOdka0nJTU9edNIjee3/A98uXii3Xso52Un3K7aq5Tk7q9SAALOrrXrfCvIF2e956OKVpsmo2LbcvwLaL7oVBDe2s8xf1zAtoslPTc/fZFFuuUW5AWxWTDWSFBAFgVNNb5/687ZnButd8KlRWRCgZgdd1/uQt1pmTlZW/LUetvZfajJiA07SZWPboX2zZBtbah83sYgIgIcIua0dD1GhaU+d+z6a1AAi5oN8ilBkp2n/7lo5WOverjFRY2GmHpWYka48Nuaj92+Ds7VzsUDmH3DVkYkN1LzNQmTXw0L7wuBisO638pdztDWvo/7InJDqR1xZpgxtLUyN+nNRTZ3ADYGdhQtNajsX+GOTOs6rtYk3TWo442+rumRaiOOX6BDtlyhSCgoLYuHEjDRvqHqOal3p44cKFJCQ8XOrQzZs3o1arGT58ODNnztR5zPLly5k1axZr167lqaeeAshPmXznju7hRPfPgfH39+ePP/7Aw8ODJUuWUKtWrUL7lyxZold9U1JSmD59Okqlkvnz59O1a9dC+1euLDr5dsaMGRw+fJiff/5Z55A6ACMjIwYNGsSpU6cKtWVe74paXbR3IDGx6KrOj5PIg2epM/5JnDo1xdDSjKykAqtmKxW4P6FNDx6+60QxJRQWse80rj1b4dy1OTcWbyUjpvA1XWNIFwBiz91Anax9iE66GYZSZYBtszqYONuSHln4wc/S2x17Xx9ysjVE+p19yG9aseKPnMZt7CBsOjTHwNKM7Pva2b53BwBi9/2rV3lpt+9g5GiHfa92xB3wL7LfeXgfAJLOXUOdO+Qt+dw17Lq0wrZLK+6s2Jw/LyiPSQ1XzOpoH6iSLlx/4O9Y0dIunMSy71OYNPZFYWpOTlqBN7MKBaatOmmPO3Ws1LISN64qdp9xg2bYv/gm2UkJ3P35y0L7Mm9excy3PSbN25C4fX2RuTtGXnUxdK9JjlpNxvVLD/DtxOPk4p5z9Jr8BI26N2GblRlpiffuFwqlgpaD2gBw5u+TepV368RNmvZtQaun2nHlQNHrrsWAVigNlKQlphF+Tfs8EHD8OsmxyVjYWdB2ePsii3q61nOjZgsvNBoNl/ZdeNivWmG6NfFkyZ4LHLwUSkJqRqF00dkaDX+f1L4IecJXv0XS0zPVvLPcj7jkdGzMjflpUk/quBY/pLp9fXfa19cd/AA88dl6ElIzeHtw68cjdbR04ZS5cu3BadFCm/Jv9erVJR4XGKh9a1tw0vqDyFv7pn//4t8aDhgwAAMDA06fPp3fo5O3ts2BAweKHJ+RkZE/RyfPuXPnAHjyySeLBDdpaWmcPn0aKNwromvoVkBAACkpKTRq1KhIcANw5MiRIuXkzYf5/fffSxwCp6stzcy045hjYgq/qcnOzubChap3Yy5LybfuEHX0IoYWpjSb8UL+nBulkYrG747GopYrybcjiDx0rtB5htbmmNdwxtSt8HCgqCMXiLt4C5WZCb5fvVxov0t33/wA59bKexn6Ig+dIzU0GgNjQ5rPeLHQ3Byr+jVo8eVLKAyUhGw+lN/rU9WkBYYRf/w8BuZm1P54Mga5c3EUhipqvvk8pjXdSA8JJ/7ImULnGVhZYOzpgpFr4WF/keu1yRqsWzfBbfwQFKrcSbBKBc7D++A0pBc52dmELvkr/5y7u4+SGR2LkaMt3p9OxtDeJn+fqZc7tT9+GaWRIQknL5J6LajsG6GcqcNDSb98FqWpGXbPv4oiby6OyhCbZyZg6OJOVlQ46RdPFTpPaW6hHTJmX/zQSn2lnT6GOjYGAwsrbJ97FWWBYWhGteth+9yrACQf3Clr4YhiRdwI54rfJUwsTRnz3TjMcufiqIxUDPvsWZy9XYgKjOTS3sJ/v8xszHGs5YSdR+FeB7+le8nOyqZRjyb0e3MghgWydTXu3Yz+bw8G4MDSPfnzbTTZGnbP046EeOL1ATR70jf/HBtXW56ZORqlUsnZv08RH171eiPruNrSob4bKelZfLTyEAm56+JkZGUza/1xgqISqeFoRdf7Jv/Hp6QTFJVA6N3C8/iW77tIcHQiSoWCmWM6lxjcCPFfKNcenBdffJHt27ezfv16zMzMeO2117C0vJedKCsri2XLlrFnzx7q1q1bZFK/Ps6fP8/NmzdxcHAotBjn/RwcHOjYsSMHDx5k7dq1fPzxx/Tp04dvv/2WXbt2sWnTpvyeHbVazeeff56/uGZekJI3V+fIkSNMmTIlfy5PUlIS77//fn4AUXCifcFj8uT1HF2/fp2QkBA8PbU3kOzsbBYuXMj+/fuLlDN69GhWrVrFkSNHePvtt/nggw9wdLz3QJKTk8OGDRtYvXo19vb2+YkVAOrVq8f169dZuXIlzZo1Q6FQoNFo+O6774iMrFqpLcvD5e/+wNLrTex9fejy5wxSbkdi5maPoZU5WUmpnP1kUZFUpDWGdKXO+CdJC7/LwWen39uRk8O56Uto9d1UrOp60mnlJ6TcjsDA1Biz3GDnxuKtxJ6+10OQk6Xm7KeLafntFKzr16TT6k9JDYkCpQKLmrmraR+9wNV5xY9TrgqCf1yF6bfvYtW8Pk1WzSY9OBxjV0dUluaok1MJ+PyXIu3sNKg7bmMHkRERw8XnP8jfnnTmCmHLNuI+fgiuzz6J44BuZNyJwsjJHkMbS3LUaoLmriD12r0hb5qMTG5O/5m6M9/AqmUjmqyYRVpwOAamJhg526NQKkm9cZvA2fr1xFZG8et/w2GKB8Z1G+L88Xeoo+6gsndEaWaBJi2VuGU/Fmlj8469tOmgY2OImvnOI31+TlYmsct/xH7SO5jUb4Lzx3O0SQWMjFHlZk1LPX2MpIdMOy0eHxu/+BOXOq/j3aYe7++aTtStSOw87DGzNictMY2Vbywt8rKvw8jO9Jr8BHFhsczuNyN/e9iVUDZ8vpah00fQdXxP2j3Tkejb0di42OQPTTu12R+/pYWTHR1fdxSn2i50HN2FkV89R783BpISl4xLHTcMDA0IuXCbrV9V3fvye0Pb8tL8XZwKiOSpLzdSy8masNhkktIysTAxZPZzXVAqC7+kXX/kOkv2XMDF1pyNHzwFaDOu/XU0d103QwN+3Xnu/o8q5MuxnbG/L130404haaLLXLkGOHXq1OHHH3/knXfeYcWKFfzxxx80a9YMBwcHkpOTuXDhAvHx8Xh6ejJ//nyUJa3hUIy8tW/69u2LgUHJqQwHDx7MwYMH2bx5M++88w4mJiZ89dVXTJw4kffee49Vq1bh7u7OhQsXiIyMxM3NjTt37uTPRenevTs1atTg0qVL9OrVi2bNmuX33KSmplKnTh1u3rxZqKekZk3tkJd9+/bx8ssv0717d0aMGMGTTz7J9u3bGThwIG3atEGlUnH+/Hmio6N1lmNnZ8eiRYt45ZVX+Pvvv/nnn39o0qQJzs7OZGZmcvHiRaKjo7G3t2fBggWFsrONHTuWnTt3sm3bNq5cuUKdOnW4dOkSkZGR9OvXr9C8pMdRRnQ8xyZ9jffzT+DUsSmW3m5kJacRvuckN5f+TWpY9IOVF5PAsYmzqTWiJy7dfTFzdyQ7PYOY45cJWrefuyeuFDknKSCMoxO+xGtkbxw7NMbM3YHsjCzizt8kdPu/3Nmh39CtyiwrJo4rU77AdfQAbNo3x9TLg+yUVGL3H+fOii1k3Cl9Um9BEX9sJ/lKAM5DemHewBtTLw/UCUnc3XecyHX/kHYrtMg5aQEhXH75M5yH98WmXTNMPFzIyc4m9WYwsQf8id56gJzM0ictV1aahDii507HsvdgTBr7YujqiSYtVRtU7NxEdkz5v9BQhwUT/e2nWHR/EpNGzVE5uZGTmU7G9UukHNtP+nn9hhWJx1tiZAI/PTuHni/3pWG3JrjUcyM9KY2z20+x+5cd3C1m7khxTm3x587VUDo/3x3vNnVxqetKZmoGN45d4/j6o1zcrfuhfOvsDdw4dpUOI7vg0dgTM2snooMiObPtFEfWHEStR5rqysrJxozlr/Vj6Z4LHLwcys2IeCxNDOndvCYTezfFs5g5S/cLCI/PTxiQmqnmfFDJfzMzH2Hh0OqqiuZpqtQUOfqm/HoEd+/eZc2aNRw5coTg4GASExMxNzfHy8uLPn36MGrUqIdapDIjI4NOnTqRmJjI6tWradWq5FSD6enpdOzYkeTkZGbNmpW/IOjFixf5+eefOXXqFBkZGTRu3Jg33niDFStWsHv3brZt25afkSwiIoLvv/+e48ePEx0djYWFBY0aNeL555/HwcGBIUOG0KBBAzZt2pT/uQsXLmTFihUkJCTw5JNPMnv2bNLS0li8eDF///03YWFhGBoaUrt2bYYMGcLTTz9Np06dSElJ4dChQ4UyyyUnJ/P7779z8OBBAgMDiY+Px8TEhBo1atCjRw/Gjh2rM/vZqVOnmDdvHmfOnEGhUNCiRQtef/11Ll26xGeffVaoPX766Sd+/vlnXn/9dV555ZVC5YwdOxZ/f3+d7e3j44OBgUGZrsWTZ2fXKWVepijMwaRqpfiuilwbV92Hoapi0uYHX7NDPLjGZlVvraiq5t3/PVxWWfFg7AZ/WtFV4MpT48ql3AablpdLuVXBfxLgVFYxMTEkJCTg7u6uM8AaNGgQN27c4NSpU/nzWETFkACn/EmAU/4kwCl/EuD8NyTAKX8S4Pw3JMCpnsp9oc/K7PLlyzz55JO88MIL+WvZ5Fm3bh3Xrl2jY8eOEtwIIYQQQghRRVSqhU7mz59PQEDAA53z4YcfPvTioO3bt6dRo0acPHmSrl270qxZMwwNDQkICCAgIABHR0emT59eekFCCCGEEEI8BEkyUPYqVYBz9OhR/P2LrmlRkjfeeOOhAxxDQ0NWrFjB77//zvbt2zl9+jQZGRm4uLgwYcIEJk6c+NBlCyGEEEIIUSpJMlDmKlWAo2uBy/JmYWHBxIkTmThx4n/+2UIIIYQQQoiyVakCHCGEEEIIIR4nkia67D3WSQaEEEIIIYQQ1Yv04AghhBBCCFFBpAOn7EkPjhBCCCGEEKLakB4cIYQQQgghKoqkiS5zEuAIIYQQQghRQSTJQNmTIWpCCCGEEEKIakN6cIQQQgghhKgo0oNT5qQHRwghhBBCCFFtSA+OEEIIIYQQFUTm4JQ9CXCEEEIIIYQQejt69CgLFizg2rVrZGVl0ahRIyZOnEiXLl30Oj88PJxu3boVu9/X15fff//9oesnAY4QQgghhBBCLxs2bOCDDz7AyMiIdu3aodFoOH78OBMnTmTGjBmMGDGi1DIuX74MgI+PD/Xq1Suy38vL65HqKAGOEEIIIYQQFURRhdbBiYyMZPr06VhaWrJmzZr84OT8+fOMHz+emTNn0q1bN5ydnUss58qVKwC8+OKLDBo0qMzrKUkGhBBCCCGEEKVavXo1mZmZjBs3rlDPS9OmTZk4cSIZGRmsXbu21HLyenAaNWpULvWUAEcIIYQQQoiKoiinn3Jw6NAhAHr16lVkX962gwcPllrOlStXMDMze+ShaMWRIWpCCCGEEEJUkKqSRS0nJ4ebN2+iVCqpXbt2kf21atVCqVRy8+ZNcnJyUBTzxeLj47lz5w6NGjVi2bJlbN68mdu3b2NpaUn37t2ZMmVKqUPcSiM9OEIIIYQQQogSJSQkkJmZiY2NDUZGRkX2q1QqbG1tSUtLIyUlpdhy8ubfXLp0iblz52Jvb0/btm3Jzs7mzz//ZNiwYdy6deuR6io9OEIIIYQQQlSUcurB2bBhAxs3btT7+CFDhjB06NBi96elpQFgampa7DEmJiYApKSkYGFhofOYvPk39erV45dffsHT0xOA1NRUPvnkE7Zt28Y777zDhg0b9K77/STAEUIIIYQQopoJCwvD399f7+PbtGlT4n6lUv+BXzk5xWeGGzduHH369MHc3Bw7O7v87WZmZnzxxRecOHGCS5cucfbsWZo3b673ZxYkAY4QQgghhBAVpLzm4Li7u5catNx/fEnMzMwAyMjIKPaY9PT0QsfqYmBgkN9rcz9TU1PatWvH5s2buXTpkgQ4QgghhBBCCK2hQ4eWOOTsQVlYWGBmZkZcXBxqtRqVqnAYoVariYuLw9jYGCsrq4f+HAcHB+DekLiHIUkGhBBCCCGEqChVJE20QqGgTp06ZGdnExQUVGR/YGAgGo2m0Po4uvz888+89tprXLt2Tef+0NBQAFxcXB66rtKDI6qEzXerSA7FKsxIUfykQVE2vO9aVnQVqr2+NhCWqanoalR7F1OTKroK1d7ZuZkVXYXHQo/BFV0Dyi3JQHno3Lkz58+fZ8+ePdSpU6fQvj179gDQtWvXEsu4du0au3btonbt2vj4+BTad/fuXY4cOYKhoSFt27Z96HpKD44QQohqQ4IbIYQoP0OHDsXY2JhFixZx8eLF/O0XLlxg8eLFmJiYMGrUqPztwcHBBAQEkJR076XIiBEjAFi2bBmnTp3K356SksKHH35IcnIyw4cPx9HR8aHrKT04QgghhBBCVJCqstAngIeHB++99x4zZszg2Wefze9lOX78OGq1mtmzZ2Nvb59//Lhx4wgLC2PWrFn584E6derE+PHjWbZsGWPGjMHX1xdbW1tOnjxJXFwcrVq14r333nukekqAI4QQQgghhNDL6NGjcXNzY/HixZw+fRojIyN8fX2ZPHky7du316uM999/n2bNmrFq1SouX76MRqOhRo0avPjiizz//PMYGho+Uh0lwBFCCCGEEKKiVKEenDzdu3ene/fupR63b9++Yvf169ePfv36lWW18kmAI4QQQgghRAWpgvFNpSdJBoQQQgghhBDVhvTgCCGEEEIIUVGkC6fMSQ+OEEIIIYQQotqQHhwhhBBCCCEqivTglDkJcIQQQgghhKggVWkdnKpChqgJIYQQQgghqg3pwRFCCCGEEKKiSA9OmZMeHCGEEEIIIUS1IT04QgghhBBCVBTpwSlz0oMjhBBCCCGEqDakB0cIIYQQQogKIlnUyp4EOEIIIYQQQlQUCXDKnAxRE0IIIYQQQlQb0oMjhBBCCCFERZEenDInPThCCCGEEEKIakN6cIQQQgghhKggkmSg7EmAI4QQQgghREWRCKfMyRA1IYQQQgghRLUhPThCCCGEEEJUFOnAKXPSgyOEEEIIIYSoNqQHR4hSmFqZ0n9yP5r1bIa1oxXJsclcPnKF7fN3EBse98DludZx5YlJfanXpi6m5ibEhN3l7O6z7Ft5gNTE1LL/ApWIqZUpT7zcjyY9m2KV25ZXj1xh54J/iHuItrR2tqHPpD406NQQK0cr0pPTCTobyN6lewg8G6jzHIVSQccRnWgzuC3OXs4ARAVFcXLrCQ79fhBNtuaRvmNFM7Y0pc3EvtTu3hhzByvS4lK4fewqJxbtIilC/zZ+fsvHWLnZ6XXshpfmEXYqgDaT+tJ2Ul+9zrmy1Z89n/+hd30qE1NLU3pOfoJGPZpg6WhFSmwy149cZe+vO4l/iOvYytmaHhP74NOpAZaOVmQkp3P7XBB+S/dyu5jrGMC9gQddxvfEq2VtzGzMSb6bxNWDl9m7YCdJMYmP8hWrJYVCwZx1H+JSw5HRbd6o6OpUCioLU7zG9cexUzOM7K3Jik/mrv9lglZsJz0y9sELVChw698B1yfaY17LFYWhAam3I7iz7QhhWw7pV4SBktYLP8DC253Tb8wl/uyNB69HVSM9OGVOAhwhSmBqZcq0VW/hUtuFtOQ0wq7fwcHDng5D29O8ZzPmjv+BsOt39C6vWY+mTPhmHIbGhmSkZhB+KwJbFxuenNyPtoPb8tOkeUQFRZXjN6o4plamvLHyTZxru5CenM6d63ew97Cn3dD2NO3VjJ/G/0j4A7Sli7cLU5a+hoWdBZnpmUTeisTayZrG3ZvQoHND/vx8Lcc3/VvoHKWBkgnfv0jjbo0BiAmJQaPOxr2+O54NPWnQqQELp/yKRl01gxxjS1OGL30NOy9nMpPTibkRjrW7PY0Gt8W7exM2TJrH3ZvhepUVeTmY5Kj4Yvdbudlj4WSNOiOL5MgEAJIi4rhz9lax56hMjHCq7wFAQuhd/b9YJWJqacrklW/gVNuZ9OR0Iq7fwc7DntZD29G4V1N+Hf8TETf0a2MAJ28XJi2ZgoWdBVnpmUTfisTKyZqG3Rrj06kBG2f8yclNx4uc12pIW4Z88gwGKgMSoxOIDozC0cuJds90pGH3xix47kdiw6pmG5eXsW8Nwad5bRJikyq6KpWCysKUlvOmYV7TBXVKGsm3wjB1dcCtfwccuzTn9OtzSbkVpnd5SiMVTb54Cfs2jcjJ1pASHIHK1BjLejXweasGNs3rcmnG0lLLqTW2Hxbe7o/y1aocyTFQ9iTAEaIEoz8biUttFy4evMSSd5aRkZqBykjFyE9G0H5IOyZ8M44vhswiR5NTaln27vY8/9VzGBobcnbvOVZ+vJq0pDQUSgX9J/fjycn9mDJ/MjMGz0Sdqf4Pvt1/a8T0kTjXduHSwUusmLY8vy2f/uQZ2j7Vjue/Hsfsofq1JcDoL8diYWfB9ePX+W3aclLiklEoFfR79Un6TOrL0588w40T14kNu/cWsuOITjTu1pj05HQWv7aImye0bwZrNfNi4s+TqN+xAT3H92L3ol3l0gblrcfHz2Dn5UzQ4cv88+FKslIzMDBS0e394TQc1IYnvhzLmme/0auN/3l/RbH7TKzNGbV2GgAHZv9FQmgMAFe2+HNli3+J9XOq70HoyZucXLbnAb9d5TD0sxE41Xbm6sFLrHl3BZm51/FTHz9Nq6faMvLr5/l+2Gy9r+NnZo7Gws6CAP/rrJn2GylxKSiUCnq/0o8ek/rw1MdPE3DiBnEFrmP3Bh4M/XQEKGDr1xs5uvogOTk5WDpaMebb8dRs7sWQ6c+wZNL88mqGKmfUa4N4ZnL/iq5GpVJ/2mjMa7oQc+wil2YsITstA6WRCp83R+Larz2NP53A8QlfgJ7XsvekIdi3aUR6ZCznPpifHxzZt29Mo08n4NyjFTHHLhK5u/h7hLmXGzVH69cLLERJZA6OEMVw9nKmea9mpKeks/z9FWSkZgCgzlSzavoawgPCcfV2pXnPZnqV1/O57piYGXPnZjhL3l5GWlIaADmaHLbN2851/+s4eDrQfXTXcvtOFcXJy4mmvZqSnpLO6g9WFmrLP6b/TkRABC7eLjTVsy2da7vg2dATjUbDqg9WkBKXDGjbcvtPf3P7wm1URip8+7UsdF6rAa0B2L14V35wAxB0LpAd87YD0HpQm0f+vhXBtqYT3t2bkJmSzq5P15CV28bZmWr2fbGW2FsR2NV2oXb3Jo/8WT0+ehpzBytu7jtfYkBTkFfXRjR6qh0ZSWnsnr5G7wCgMnGs5USjnk3JSEln7YerySxwHf/12R9EBkTg7O1Co55N9SrPqbYzHrnX8R8frCIlLgXQXse7ft5OSO513Kyfb6Hznnx7MEoDJX5L93FklR85Odq2TIpOZO0Hq9BoNNRt54ONq20ZfvuqycbBio/mT2HUa4MruiqVilkNZxw7N0edms7lL5eTnaa9ljWZaq58s4qUoHDMa7ni2Lm5XuWZuNrjPqQLGnU2596bV6jn5+6xi4Ss3QuAW7/2xReiVNDgvbGgUKDJqn4v+UqkKKefx1iFBjhxcXF8//33DBkyhFatWtGkSRO6devGG2+8wYEDBx65/A0bNuDj46Pzp3HjxnTq1IkXX3yR7du3Fzm3R48e+Pj4EBER8cj1KEs5OTls3bqVSZMm0alTJxo3bky7du0YOXIkixYtIjW1es/h+C+1GdAKpVLJhQMXi8yNydHkcCx32EjLJ3x1nV5Egw71AfD7/SDZ6uwi+/1+145Pbp37EF6dtBrQGqVSySU/3W2ZN5SsxRMt9CrP2tkagNT4VBKji841CL0SAoDtfQ941k7a83QNhQu5rPucqsLnyZYolEoCD10mQ0cbX956AoC6vZs/0ud4dWmEd4+mZCSn4Tf7L73OMTA2pNu7wwA4Nu9vkiPjH6kOFaVF7j3hit8l0nS08anN2ntC0776XcdWTveu4yQd13HYlVAAbFzuXZNWztZ4tfImPTmd/Yt3FzknNuwuf3+ziS2z/tJ5n3mctOjUiIV7vqR97xbERsWz/Jv1FV2lSsOldxsUSiUxRy+gTrrvuUGTQ/iOYwA4d2+p4+yinHu2RmlgQORuf1KCig7RDP/nGAGLNnMnt1xdaozohVX9moT8uQd1arr+X0YIHSpsiNrFixeZMGECCQkJuLu707x5c0xMTLhz5w7//PMPO3bsYODAgXz99dcolY8Wh9nb29OhQ4dC29RqNRERERw+fJhDhw5x4cIF3nvvvUf6nPKWmZnJ5MmTOXz4MGZmZjRs2BBfX1/i4uK4cuUKp0+fZtWqVaxcuZIaNWpUdHWrvFpNawFwq5hJvoHnggDwbumtV3l5D855D9L3iwqOBsCtjiuGJoZkpWc9QG0rt5pNagIUO/H/9vkgAGr76teWCRHxAFjYWWDtZE1CVEKh/S7ergBFEhckRMZj42yDe30PLh+6fN85LjrPqSqcG2v/zUfktuX9Ii9ot7s1r/3Qn6FQKugwRTvM58SSPaTe1W8uQ4tRXbBwtiHmxh0u/FX8A05l55l7HRc38T/4/G0AvHz1a+OE3LlLFnYWWDlZk3jfdexcR3tNxhdIDlGnTT2USiUB/jfye5Dud2T1Qb0+v7rzrOOKiZkx+zYeZdHMP6jl41HRVao0rBrUAiDhku45cwmXtde4dVP97sl2vj4ARB85r3N/ekQst1fvLPZ8Uw8nvMb1JzUkksDlf+Pav6Nen1ttyCScMlchAY5areb1118nMTGRL774gmHDhhUKYq5evcpLL73E1q1bady4MePGjXukz/P29mbOnDk69x05coRJkyaxdOlSBgwYQKNGjQBYvnw5WVlZODg4PNJnl6VffvmFw4cP0717d7766itsbGzy9yUlJfH555+zdetWXnvtNTZt2lRh9awuHD0dAbhbzETd2DvaMfHWDlYYmxqRkZapV7lKle6A3SB3u9JAia2zDVG3ox+0ypWWQ25bxhYzsTz2jvYBzsrBCiNTIzJLacvIwEhunblF7Ra1GTVzDCumLSclXju8p+eEXni39CY9JZ0Tub0WeY5tOEbNprXoOaEXt87cIuDkTQDc63vw5FTtg/uRtYcf/otWIGsP7b0qsZjrNTE3cDN3sMLQ1IgsPa/XghoMbINdbReSI+M594d+D9HGVmb4Pt8DgGPztkNO1Rualse+hraNC87rKigu955gqed1HB0YSdCZW9RqUZunvxjF7++uIDX3Ou46videvt5kpKRzusB1nBf0RN2KBMCnUwOa9G6OtasNKXEpXNpzjgu7zz3aF60mrp8L5PXBMwi8ovul0uPM1F17T04P132/yMugZmxnjYGpcf4QtuKYe7kBkHo7HANzE1z7tcemaV1Upsak3A4nbOthUm8XPyKmwbtjUBqquDpnDZpqOAdV/PcqJMA5deoUoaGhdOzYkaeffrrI/vr16zN9+nQmT57Mn3/++cgBTkk6duxIz5492blzJ7t3784PcCpjD8iWLVsA+PzzzwsFNwCWlpZ8+eWXHD9+nCtXrnD+/HmaNtVvHLjQzcLOAoDk3AeO+6Um3NtubmtBRlrJKTXvht3F1dsV97pu3DpT9A2wa26vA4CZldnDVLnSymvLlATdQygLtqWFrQWxpbQlwNI3FjP2q+fwaV+f6bs+J/p2FJYOVlg5WBEREMEf09eQcN9QqH//OoalnSW9J/bh1SVTuBt6F406G8eaTmRlZPH3j9vwW3Xgob9nRTK11bZxWjFtXHDYmomN+UMFOC3GdAPg7O8H0WTpN/yp8ZB2GFuYEnMznKDDl0s/oRIzz23jgtdrQQXb3tzWgkw9ruOVby7l2Vljqdveh/d3TifmdjSWDpZYOlgRGRDBX9P/IDHyXs9O3nC1jJR0xs6dUGS+T/N+vlw9dJnVby+rVr3AD+PqmYCKrkKlZWijvZazEpN17i84bM3Q2rzEAEdppMLI1hIAYydbmn/3OiaO94ZV2rVugPtTXbk+9w/u/H2kyPkeQ7th07QOYVsOEX/uMUgJrYt04JS5CpmDc/eu9o2BooQuuQ4dOjBgwAA6diz/bkoPD223dWzsvT9Gxc3BSUhI4JtvvqFPnz40adKEdu3a8dprr3H16tUi5fbo0YO2bdty5coVBg8eTOPGjenZs2ehY/38/HjhhRdo3bo1TZo0oW/fvsyZM4eEhIQi5eW1W3GMjIwYP348w4cPx9DQMH/7+++/j4+PD5s3by5yzubNm/Hx8eH999/P33b8+HF8fHyYM2dOfm9ay5YtadWqFS+//DLBwcEA7N69m+HDh9OsWTN69uzJV199RVpaWol1rEqMjLVtmJWh+yEhs8B2IxNDnccUdNHvEgA9x/VEZVj43YJCoaDXuB75/9/AsHolODTMa8t03Q/VBds479jSqDPVBJ0PIjMtEyNTI9zre2DlYAVAQnRCsZnoom5HcTfsLkqlEscajjjXdkFpoCQ9OT2/F6gqUuW2W3Yx16u6wHaVnm1ckGfbeth5OZORlMbFjfoNM1MoFTQerh0efGbl/gf+zMom79pUFxM4ZD1EG6sz1QQXuI7d6rtjmXsdJ0YnoL5vsrWxuTEAncZ2o36XRuz4fiv/6/Yxn7SZxuq3l5Ecm0z9zg0Z/OHwB/5+4vFhYGQEgKaY+0V2xr17tTL32GLLMjXJ/+9Gn0xAk5HF2Xd/5kCf1zjy9IcE/7kXpcoAn7dGYtuiXqFzTVzsqD1xEBnR8dz8dePDfp0qT6Eon5/HWYUEOD4+2rGahw8fZsGCBSQnF32DYGJiwrfffstHH31U7vW5eVM7TMXV1bXE4+7cucOwYcNYvHgxarWaLl26UKtWLXbt2sXTTz/N/v1F/4BnZmYyadIk0tPT6dKlCyqVCm9v7ZjWOXPmMGnSJI4dO0b9+vXp3r07aWlpLFq0iKFDhxIaGlqorPr1tZPUp02bRkCA7jdTEyZMYObMmTRo0OCB2+F+Fy5c4JlnnuHmzZu0b98eS0tL9u/fz/PPP8/SpUuZMmUKoO0Fi42NZdmyZYUCpapOoyl5LRSF8t7dQ59RN3tX7Cc5LhmnGo68umAyHvU9UKqUONVyYuL3L+BYwzF/SEt1mxz8QG1J6Y1pamnKlKWv0felJ7h1OoBvhs/m7RZvMuOJz/BbdQCfdj5MXf46tZrVKnTeE5P7Mf7bCVjYmvPbO8t4r+003m//Live+w2lgZJnPh3BU9OGPNR3rGg5pbVxwb92DzFKrOnT2pdNlzb9S1ZKycNV8nh1boSVqx3J0Qlc/+f0g39oJfMg17E+NwUTS1NeWjKFni/1Jej0LX54+hs+8n2b2f1mcGS1H3Xb+fDSsqnUyJ0PCPcCJws7C3b9vB2/pXtJiU0mKz2LC7vP8cd72vTevoNa45i7kK0Q93ug+0UpNwyl0b1g3sDEmLPv/ESs/2U0mWpt4PLLX0Ts9kdhoKT2xMLZ7Oq/MxqVqQnXvv+D7BRJLCDKToUEON7e3gwdOhSAuXPn0r59eyZMmMD8+fM5efIkWVn/Xbf6tm3b8PPzw8DAgCeeeKLEY9955x1CQkKYOHEiu3fvZt68efzxxx8sWbIEhULBtGnTivSypKam4urqyrZt2/jll1/YsWMHhoaG7N27l0WLFmFvb89ff/3FypUr+fHHH9mzZw9PP/00oaGhvP3224XKeuONN1CpVBw/fpwnn3ySAQMG8MUXX/DPP/8U6n0qK//++y/9+/dn165d/Pzzz2zbtg13d3fu3LnD7Nmz+e6771i/fj2//PIL69atQ6VSsWvXLuLj48u8LhUhM1UbbBga6e5NMSzQy1Jcz0RBiTGJLJi6kOT4FHza1uPD9e/x89kf+GzbJ9Rv58PSacvJzC0nPbl63ejzArfiemdUhdqy9H//Pcb3xKOBB3euh7Fwyq+EXQsjW51NbFgsG2dvYO/SPRibGTPsw3tDYJ28nOjzUl802RqWvL6YMzvPkJGaQXpyOqe3n2L+pHlkZ2XT7bnuuNVze8Rv/N/LG3JmUMz1WnC7upi3tsVRmRhRo732Bcu1Haf0Ps87N+33zd3n0GRXzcVTC8pr4+J6Zwpdx3q0cdfxPXBr4EH49Tssn7qQ8NzrOC4slq2zN+K3bC/GZsYM/mjYvXJz/31kpKRzeOWBImXePH6dkAu3USqVNOja8AG+nXicZOf+rSkYnBRUcHtxvTz5+zPv/f2L2HWc9Iiio02CVv0DgHVDr/zhcW79O2LXqgGR+08RU0xygseGpIkucxU2DuZ///sf7u7uLF68mLS0NI4cOcKRI9qxmebm5vTq1YspU6aUyVyYgIAA3nnnnULbMjIyuH79OkFBQQC8/fbbeHl5FVvG2bNnOXXqFI0aNeLtt98u9HajY8eOjB49mqVLl7J+/XpeeumlQueOHDkyf8hYXjKF5cuXA/Dhhx8W6m0xMjLis88+48SJE5w9e5aTJ0/SqlUrANq3b8/SpUv59NNPCQoK4saNG9y4cYOVK1eiUCho3rw548aNKzVQ05dKpeKDDz7AwMAA0P5eunbtypo1a2jTpg39+99bNK1OnTp4e3tz7do1QkJCiswRqoqSE1IwszbDzNpc535zm3vbk+J0j2O+362zgcwY+AVdnu1MrdyMTCFXQji87iiJMYmYWpoCkBBTdIhiVZYSn4KZlRlm1rrnFhVsy2Q92rJZL+2D875l+9Coiz4471mym27PdcezoScOng7EhMTQtEczlAZKrv97jaDcDHgF3bl+h4sHLtCsd3Oa923BHR2ppCuz9IRUTKzMMCmmjU0KXMdpel6veWq080FlbEjc7Shi9GwXhVJBzdzU6Df2nH2gz6usUuJTMLUyw7SYNjYrcB2n6NHGjXOv44PLdV/HBxbvodPYbrg38MTe04G7ITGk566fFRUYVWxPb2RABJ5NamLrbl9qHcTjKSsxGUNLM1SWuq9lQ6t713JmfMnZEtUp6eRoNCiUSpILrH9TUFpoFBp1NkqVASYu9ihUBnhPHkJWYgrXf/zz4b+IEMWosABHpVIxZcoUxo0bx/79+zly5Aj+/v6EhYWRkpLC5s2b+eeff5g7dy49e/Z8pM+6e/cuW7duLbTNxMQEe3t7+vXrx4gRI2jfvoTFp9DOSwFo06aNzrlDnTt3ZunSpfj7+xcJcPKGluVRq9WcOXMGlUpF7969i5SlUqno06cPCxcuxN/fPz/AAWjbti3//PMPp06dws/Pj+PHj3Pp0qX8Ms+cOcOgQYOYPXv2I6fXrl27NlZWVoW22dpqJw7qGgKXd2xGhn7DVyq7yMBInGo4Yu9up3O/nZt2e3xUwgNN5k2OS2b7/B1Ftns29MRAZUB8ZDxpidVnLhNAVGAkjjUcsXPT/cBlm9uWCXq2Zd7xkYGROvenJaaRHJeMtaM1tm52xITEYOumvXYjg6KKLTc6N3Odravu33llFhcUiY2nA5bF1N0yN015cnTCA/fg1Oqs7Qm4uUf/7FyuTWthamNOUkRcsamrq5rowCgcajjmX3/3y7vGEvW8jvMW4owu7jpOSiMlLhkrR2ts3Gy5GxJDdAnXb568RVQ11Wyoqyg7qcGRmLk7Yeqi+55s4qy9xjNi4kvtwclRZ5Mefjc/M5vOY3Jy8odt5qizsWvVAEMLbXDVeePsYs/z/f5NAAKX/03g8r9LrEeV9rhPmCkHFT6T2cLCgoEDBzJw4EAAQkNDOXDgAMuWLSM0NJR33nmHvXv3Ymf38A8cbdq0YeXKlY9Uz/Bw7cJVy5YtY9myZcUep2thUGtr60L/Pz4+nqysLFxcXDA2NtZZTl7ig5iYmCL7FAoFrVq1yg98UlJS8Pf3Z+3atezfv58tW7bQokULRo0apd+XK8b99c77bEBnD01JSSOqouBLwTTp2hivprU4pCN1sFfuuPig3PVFSuPt602tJjUJOB1A0IXbRfY36doYgOsnql8WmZBLITTq2piaTWty5M+ibZm35tBtPdsyPTkdQ2NDrBytdO5XGamwtLPMP7bg/+YlItAl7wE1vQqOBY+6EopX50a4NKnJxb+OFtnvkttjGHkx+IHLds09N+zUTb3Pccn9nYad1r3ORlUUdjmEBl0bUaNpTY7/WTQblGfudw7R8e9bl4wU7XVsWcJ1bJF7HWfkXr8hub8/Z29nVMaGOoNVh5olp2UXIulaMA7tm2DV0IuwLYeK7LdqqB3RknglSK/yEq8GYeruiJVPTXT14Zg426E0VJGTrSE94i5GdlbEXyj+fmLVwAulyoDkW2GoU9Ly01ZXW9Xr8alSqJA5ODdu3ODo0aNkZxd9u+Th4cGYMWPYtGkTtWrVIjU1lX379lVALQvLm1zavHnz/IBM14+urG/396Tk6DH5NK9tjHKzl8TExHDq1CnCworeOszNzenevTsLFizghRdeAODvv/V701HSpFmVqsLj3wp1NvdtdbMeTYukbVYoFbR7qi0A/vettVIcr6Y1GTZtCD2e615kn4m5CZ2f0V47uoKpqu7cXm1bNimmLdsM1rblyW0n9SrvZu76Ne2GtNO5v9WA1igNlKQlpnLnWlihc+p3qI+1U9Hg3cLOgvodtD2TeevjVCUB+7Rj2Gt3a4yxjjZuMKA18GBzaEA738SmphMAUVd1Dz/RxdHHHYDoa6GlHFl1XMy9JzTq3gRTHW3cclAbAM78rd91fOuE9jpr9ZTu67jFgFa513Ea4de0QwMDjl8nOTYZI1Nj2g4vOvLAtZ4bNVt4odFouLTvgn5fTDx2og6eBcCxU7Oiw9SUClyf0F6TEbv99Sovcr82iYhj1xYYORS9v3o81RWA+HM3UCenEet/mdNTvyv2R52iHcVw/cc/OT31O8J3VN0FgkXFqJAAZ8qUKYwfP55r164Ve4ylpSV9+vQB0Jky+b/m6Kh9I9a1a1fmzJlT7M+HH35Yalk2NjYYGhoSExNT7HCukBDtwmT29tru47/++otRo0aV2HsEMHy4NjVowTbL61nRFVAmJiaWWt/HVdj1O1zwu4ippSkT576Aee64e5WRijGfj8LV25WIW5Gc21t4cqS5jTnOXs44eBZeJPbc3vNkZWbh27cFrfq1zN9uZW/JSz9OxNrRmosHLxFwpvq88c4Tfv0Ol3Lbctx3E/Ln4qiMVDz7+UhcvF2IDIzkgo62dPJywt6jcFvuXbqH7KxsmvRoysA3B2Fkei+NabPezRn8zlMA7Fm6J3+ewpVDlwm+FIyxmTEv/jQJp1pO+efYudkx4fsXMbcxJ/zGHc4/wFCsyuLuzXACD13C2MKUfrOfz5+LY2CkosfHI7Cr7UJcUCQB+ws/9JpYm2Nb0wmrYuZr2NdxRWmgJCUmsdBaOqVxqKtN1BAbUPziflVNxI1wrvhdwsTSlDHfjSt0HQ/77FmcvV2ICozk0t7CbWxmY45jLSfsPAq3sd/SvWRnZdOoRxP6vTkQwwLXcePezej/tjbj1IEC17EmW8PuedsBeOL1ATR70jf/HBtXW56ZORqlUsnZv08Rn7u4qxD3S7kVRsyxC6gsTGny+URUuXNulEYqGkwbg3ktV1KCI4g+VPheaGhtjlkNZ0zdCt+TY46cJ+HiLVRmJjSb9Uqh/U7dW+IxRBvg5CUbEPeRJANlrkJe0bdo0YKgoCBWr17NzJkziz0uMFC7GGKdOnX+q6oVK2842MGDB5k8eXKR4Vh//PEHq1atol+/frz66qsllmVoaEiLFi3w9/dn9+7dDBgwoNB+tVrNnj17AO2cG9D2HIE269vUqVN1Dh8D3W1mbq69ceka7nbuXNV7kPsv/T5jLW4rXPFpW48vds8gIjASBw97zK3NSU1MZeEbi4r0yHUb1YX+rzzJ3bC7fNL3s/zt0SExbJyziWc+fJoJ34xj0OsDSUtKxcXbBUMjQ25fCmbptOX/7Rf8D/35vz95vY4r9drWY/quz4kMjMQ+ty3TElNZ+vriIm3ZeWQXnnilH7Fhd5nxxOf520Mvh7D2898ZMX0kPSf0ouOITkTfjsbG2QZLe+2QHv/Nx9m7ZE+h8pa9uYRXFr2KZ0NP3t/8IVGBUSiUChxrOKI0UBITGsPi1xZX2Yxf+2etx97bFc/WdRm37RNiA6OwdrfHxNqMjKQ0/n5nWZH0xU1HdKLtpL4k3onlt0FfFCnTzCF3iNQDBDfa83Ln5CVVr/lkG7/4E5c6r+Pdph7v75pO1K1I7DzsMbM2Jy0xjZVvLC1yHXcY2Zlek58gLiyW2f1m5G8PuxLKhs/XMnT6CLqO70m7Zzpqr2MXm/yhaac2++O3dG+h8o6vO4pTbRc6ju7CyK+eo98bA0mJS8aljhsGhgaEXLjN1q82lH9jiCrt2ne/Y/6TG7a+PnRc+wUpwRGYujpgaGVOVnIqFz5eWOR+4TGkG17j+pMWcZdjz35yb0dODhc+W0SL717Hsq4nbVdOJzUoAgNT4/xg59aSLcSdLv7FthBlqUJ6cF588UWMjY1Zv349M2fOJCmpcIaOrKwsFi5cyJ49e6hbty6dO3euiGoW0q5dO+rXr8+ZM2eYO3cuavW9xdcuX77M3LlzuXHjRv4aP6V5/vnnAfjyyy+5cuVK/vasrCw+//xzgoODadKkCU2balepbtu2La1btyYuLo5x48Zx+XLRFcHPnj3L559/jlKpzC8foF497cJaGzZsKLTm0J49e/jnH3mbUpL4yHi+euZr9q86QHJcMu713NCoNZz4+ySzn51DxC3dk4OLc2DNQX59fRE3TtzAwtYcF28Xom9Hs/mHrXz33PdVcu6HvhIi45kz4hv8Vh0gJS4Zt9y2PLX9JN+O/LbYhAHF8d/sz7fPfsOJrSdIT07Hta4rSpWSa8eusuytpaz5eHWRc+LC45gzYg475m0n/EY4dm522LrYEnkrgp0L/uHbZ77hbmjRFwFVRUpUAmvHfsfZ3w+SFpeCQ11XNNnZXPvnNGufm0ucHhPU75eXfS3jAVKXK5QKjC1Mcs+rXgFOYmQCPz07hyOr/UiJTcGlnhuabA1nt5/i51HfFpswoDintvjz88hvOZ17HbvU1faY3Th2jVVvL2PdJ2t0nrd19gaWT1nI9SNXMTI1wrGWE9FBkeyYu5VfJ/xMWjULLEXZy4iO58SkrwhZv5/MhGQsaruTk60hYs8JTr40m9TgB+t9zYxJ4MTEWdxaspXU4EhM3R0xMDPmrv8lzk77iaCV8rxRHIVCUS4/jzNFjj4TQsrBgQMHeOedd0hKSsLIyIhmzZrh4OBAcnIyFy5cID4+Hk9PT5YtW4anp+dDfcaGDRv44IMPHirJQI8ePQgLC8PPzw8XFxdAm276+eefJzo6GhcXFxo2bEhycjInT55Eo9EwduxYPv744xLLKGj27NksXboUAwMDWrVqhY2NDefOnSMiIgJPT0+WLl1aKE12XFwckyZN4vx57TAeb29vvLy8UCgU3Lp1i4CAAAwNDfn000955pln8s9LTk6mf//+RERE4ODggK+vL3fu3OHixYsMHjyYzZs3M2TIEL766itAmzHuueeeo3379vnprPP89NNP/Pzzz7z++uu88sorhfaNHTsWf39/Vq9eXSjzW1l4pfHUMi1PFGX0mN8M/wvexo/3vLb/Qlhm1ex9q2ouppacOlg8urc8dCchEmWrx4FfKroKhL83vlzKdZ1d8rSG6qzC/tp269aNnTt3smbNGo4cOcKtW7c4e/Ys5ubmeHl50adPH0aNGoWJiUlFVbEIb29vNm3axKJFi9i/fz+HDx/G0tKSVq1aMWbMmPw5Q/p67733aNmyJatWreLixYtkZWXh4eHBq6++yrhx43SmaF67di1bt25l9+7dXLp0KX/tIGdnZ0aNGsWYMWPw9vYudJ6FhQW///47P/zwAwcPHsTPz486deowZ84cGjZsyObNmx+tYYQQQgghxGPj6NGjLFiwgGvXrpGVlUWjRo2YOHEiXbp0eegyX3zxRQ4dOsSKFSvyp2g8rArrwRHiQUgPTvmTHpzyJz045U96cP4b0oNT/qQH579RKXpw3i+nHpyvyqcHJ2+ElJGREe3atUOj0XD8+HGysrKYMWMGI0aMeOAy16xZw+efa+falkWAI39thRBCCCGEEKWKjIxk+vTpWFpasmbNmvx53ufPn2f8+PHMnDmTbt264ezsrHeZt2/f5ptvvinTelaJAGf+/PkEBAQ80DkffvjhIy0OKoQQQgghRLmrQiMoVq9eTWZmJi+99FJ+cAPQtGlTJk6cyNy5c1m7di2vvfaaXuVlZ2fz3nvvYWhoSL169bh+/XqZ1LNKBDhHjx7F31+/xabyvPHGGxLgCCGEEEIIUUYOHToEQK9evYrs69WrF3PnzuXgwYN6BziLFy/mzJkzzJkzh7/++qvM6lklApwHzYAmhBBCCCFElVBFOnBycnK4efMmSqWS2rVrF9lfq1YtlEolN2/eJCcnp9RU1VevXuWnn36ib9++DBw4sEwDnApZB0cIIYQQQghRddbBSUhIIDMzExsbG4yMjIrsV6lU2NrakpaWRkpKSollZWZmMm3aNKysrPjss8/KvK5VogdHCCGEEEIIob8NGzawceNGvY8fMmQIQ4cOLXZ/Wpp2AWFTU9Nij8lb3iUlJQULC4tij/vhhx+4fv068+bNK5cpJRLgCCGEEEIIUVHKaYhaWFjYA81hb9OmTYn7lUr9B36VtArNqVOnWLp0KYMGDdI5l6csSIAjhBBCCCFENePu7l5q0HL/8SUxMzMDICMjo9hj0tPTCx17v9TUVN5//30cHR355JNP9K7bg5IARwghhBBCiIpSTmmihw4dWuKQswdlYWGBmZkZcXFxqNVqVKrCYYRarSYuLg5jY2OsrKx0lvH7778THByMj48PM2bMKLTv5s2bACxYsIB169bx7LPP0qpVq4eqqwQ4QgghhBBCVJQqkkVNoVBQp04dzp8/T1BQEHXq1Cm0PzAwEI1GU2h9nPulpqYCcO3aNa5du6bzmKNHjwLQoUMHCXCEEEIIIYQQ5adz586cP3+ePXv2FAlw9uzZA0DXrl2LPX/q1KlMnTpV575x48Zx7NgxVqxYQdu2bR+pnpImWgghhBBCiIqiKKefcjB06FCMjY1ZtGgRFy9ezN9+4cIFFi9ejImJCaNGjcrfHhwcTEBAAElJSeVToWJIgCOEEEIIIYQolYeHB++99x7Jyck8++yzvPDCC7zwwguMHDmSlJQUZsyYgb29ff7x48aN48knn2T37t3/aT1liJoQQgghhBAVpDwW5SxPo0ePxs3NjcWLF3P69GmMjIzw9fVl8uTJtG/fvqKrB0iAI4QQQgghRMWpWvENAN27d6d79+6lHrdv3z69y1y+fPkj1KgwGaImhBBCCCGEqDakB0cIIYQQQoiKUsWGqFUF0oMjhBBCCCGEqDakB0cIIYQQQoiKIh04ZU56cIQQQgghhBDVhvTgCCGEEEIIUVFkDk6ZkwBHCCGEEEKIiiLxTZmTIWpCCCGEEEKIakN6cIQQQgghhKgoMkStzEkPjhBCCCGEEKLakB4cIYQQQgghKoh04JQ9CXBElfBavcSKrkK1F59oUtFVqPZ+CM2o6CpUe/Nmu1d0FR4LZ+dmVnQVqr3v5H7xn+hR0RUAiXDKgQxRE0IIIYQQQlQb0oMjhBBCCCFERZEOnDInPThCCCGEEEKIakN6cIQQQgghhKgoMgenzEmAI4QQQgghREWRAKfMyRA1IYQQQgghRLUhPThCCCGEEEJUFOnAKXPSgyOEEEIIIYSoNqQHRwghhBBCiIoic3DKnAQ4QgghhBBCVBSJb8qcDFETQgghhBBCVBvSgyOEEEIIIUQFUcgQtTInPThCCCGEEEKIakN6cIQQQgghhKgo0oFT5qQHRwghhBBCCFFtSA+OEEIIIYQQFUXm4JQ5CXCEEEIIIYSoKBLglDkZoiaEEEIIIYSoNqQHRwghhBBCiIoiHThlTnpwhBBCCCGEENWG9OAIIYQQQghRUWQOTpmTAEcIIYQQQoiKIvFNmZMhakIIIYQQQohqQ3pwhBBCCCGEqCgyRK3MSQ+OEEIIIYQQotqQHhwhAKW5GQ4jnsKybUtUNjaoE5NIOXOemHWbUUfffbCyLMypt+KXEo+JWbeFmN//KrTNwNYah+GDsGjZDANbG7KTkkm7cp3Yzf+QfvPWA3+nqsTAwgyPsQOw69QcQztr1AlJxJ+4ROjKv8mMin3wAhUKnJ7shGOf9pjWckOpMiAtOIKo7YeI3Hqw7L9AJWJuZcawVwfQqldzbB2tSYxL4tyhS2z45W9i7jx4W3rUdWPIy/1o2MYHUwtTokNjOL7rNDtW7CUlIbXY8xq1q0+/53tSt5kXphYmxEbE47/rNBvnbyctJf1RvmKFS0zNYMmeCxy8GEJMUjo25sa083FjQq/GuNpaPHB5QVEJrDpwmVMBkdxNTMPY0IA6rrYMauNNv5a19SpDna1h3A87CIiIZ95LvfD1dn7gelQ2KgtTvMb1x7FTM4zsrcmKT+au/2WCVmwnPfLh7gtu/Tvg+kR7zGu5ojA0IPV2BHe2HSFsyyH9ijBQ0nrhB1h4u3P6jbnEn73x4PWoxhQKBXPWfYhLDUdGt3mjoqtTdUgPTpmTAEc89pTmZtSc9QnGHm5kp6aRfjsEI2dHbHp1xbJdK4I/mUXG7RC9yzOp6QmAOjGJzLBwncdkRccU+v8qR3tqzZ6OysYaTUYGmaF3UNlYY9WxLZbtWhGxcAUJuw889HeszAwszGj8w7uY1nRFnZJG6q0wTFwdcOrXCbtOLbj81rekBobpXZ7CUIXPjFewad2InGwNaSERGJgaY163Bl6vj8ayaT1uzlxcjt+o4phbmfH57+/i7u1KanIawdfDcPJwoPvwTrTu3YL/jf2W4Ov6t2Wrns2Y+t1EjIwNSU/NICwgHHsXW4a9OoAuT7Vn1os/EB4YWeS8YVMGMHzKQACiw+6SeDcJVy9nBr7YlxbdmvD5mDkkx6eU2ff+LyWmZjDpl13cjkrEzFhFHRcbwmKT2XYiAL+LIfzyci/quNrqXd6hy6F8vOowmepsjFQG1HSyIjYpnbOBUZwNjOLfa+F8NrIDilIegJbvvUhARPwjfrvKQ2VhSst50zCv6YI6JY3kW2GYujrg1r8Djl2ac/r1uaTc0v9aVhqpaPLFS9i30d4XUoIjUJkaY1mvBj5v1cCmeV0uzVhaajm1xvbDwtv9Ub5atTb2rSH4NK9NQmxSRVelSpH4puxJgCMeey6vTMDYw43kU2e58+18NOnpKAwNcX7peWx6dMbtrckEvvkRaHL0Ks84N8BJOvwvkYtX6XWOx7uvobKxJvnkWe78uBBNsvbhz6ZvD1xeeh6XiWNJu3SVzDsRD/clK7Hab43BtKYrcccvcOOLRWjSMlAYqvB6fTROT3Sgzscvcn7iDL3bv8bEodi0bkRGVCzXPvo5PziyaduEuh+/iEP31sT/e4GYvcfL82tViIn/G4O7tytnDlzgx7cXkZ6SgaGRigmfjabb0A5M/e5F3h00gxw92tLR3Z5Xv56AkbEhJ3afYcGHv5GalIZCqWDYqwMY9uoA3ls4lWn9PyMrU51/XqtezRk+ZSBZmVn88t5y/t1xEgA3L2femvcKHnXcGPn2UBZ9srLc2qE8ffXXcW5HJdKhvhszRnXC3MSQjKxsvtnoz98nb/HJ6sOseqs/BsrSR4DHJqXx2e9HyFRnM7hNHd4Y1BITI+2fZb+LIcxYe5RdZ4NoVMOeZzrVL7acm+Fx/Lb/Upl9x8qg/rTRmNd0IebYRS7NWEJ2WgZKIxU+b47EtV97Gn86geMTvtD7vuA9aQj2bRqRHhnLuQ/m5wdH9u0b0+jTCTj3aEXMsYtE7vYvtgxzLzdqju5bJt+vOhr12iCemdy/oqshBFDBc3BefPFFfHx8+Oabb/Q6/qmnnsLHx4e9e/eWc82Kt2HDBnx8fPjoo48q5PNPnz7Nu+++S48ePWjSpAmtWrVi4MCBfPXVV4SF6f82S2gZubti2bYl2Wlp3PlhIZp07dCZnKwsIn5ZQkZIGMae7li2bal3mcY1PQDICNbv92FStzYm3rXITk7hzvcL8oMbgPid+0g+eRaFSoVVt44P8M2qBhNPZ+w6tSA7NZ2bXy1Fk5YBQE6WmlvfrSD19h3Marph17GFXuUZuzrgMrgbGnU2Vz/4sVDPT/zxC4Sv2wOA4xMdyv7LVDA3L2da925BWko6895bSnqKti2zMtUs/HgFoTfv4FHHjda99WvL/uN7Y2JuQuiNO/zw1iJSk9IAyNHksP6nrVw6fg1nT0eeGNuj0Hlj3h0OwG8z1+YHNwB3AiNZ+vlqADoOaIPKsOq9XwuKSuDAxRDMjFR8+mwHzE0MATA2NOCD4W2p5WRFUFQifhdD9Spvi38AqRlqfNzteHdom/zgBqBrY08m92sOwB+HrhZbRrZGw5fr/iUnJweVQfWYVmtWwxnHzs1Rp6Zz+cvlZOfeFzSZaq58s4qUoHDMa7ni2Lm5XuWZuNrjPqQLGnU2596bV6jn5+6xi4Ss1T5TuPVrX3whSgUN3hsLCgWaLHXxxz2GbBys+Gj+FEa9Nriiq1J1KRTl81OOjh49ynPPPUfbtm3x9fVl7NixHDz4YEPA/fz8eO655/D19aV58+YMHTqUFStWkJ2d/cj1q9C74dChQwHYvn07OTklv4W5fv06V65cwdHRka5du/4X1at0fvjhB0aOHMnWrVuxs7Oja9euNGvWjMTERJYtW0a/fv3Ys2dPRVezSrHq0gGFUknyibOFAgsANDkk7NOOy7bs2FbvMvMDnBD9AhyFUkn8vkPE79qPJjWtyP6MYO3DkqGDvd51qCocerVDoVQS9+95spPum8+hySF65zEA7Lu10qs8++6tURgYELPnOGm3iw4PjN55lOAlm4j+5+gj172y6TSoHUqlktP7zxeZG5OjycFvg7Yt2/fTry2bdGwAwM7V+8nOKvrHZteaAwB0HNgmf1u9Ft4413Ak4nYU+9YdLnLOFf8brJ27idVfr8fQqOoFODtPB5KTAx0bumNtZlxon4FSSf9W3gDsOXdbr/JO39IO7+vW2BOlsujDSMcG2qFQ4XEpJKZm6Cxjjd8VroTGMqpLA8yNDfX+LpWZS+82KJRKYo5eQK3jvhC+Q3stO3fX78WTc8/WKA0MiNztT0pQ0ftC+D/HCFi0mTu55epSY0QvrOrXJOTPPahTq/YcsrLUolMjFu75kva9WxAbFc/yb9ZXdJXEf2DDhg2MHz+eM2fO0LRpU1q0aMGZM2eYOHEia9eu1auMdevWMWnSJE6cOEGjRo1o164dYWFhzJw5k0mTJqFWP9qLhAr9C9OrVy9sbGy4c+cOp06dolWr4v/wbtq0CYDBgwejUlVctXv37k2zZs2wsrL6Tz/32LFj/PLLL3h6erJw4UJq17438TQ7O5uVK1cya9Ys3n77bXbv3o2Tk9N/Wr+qyrSeth3Trt3UuT/tegAAZg3q6V2mseeDBThp124W+/kAJt61AMgMLzrXoaqzqF8LgKRLATr3J1/WJlewbFJHr/KsW2iH8cQdPatzf0bkXe78vuPBKllF1GlaC4DrZ3S35Y1z2ras31K/tnRwtQMg8HKwzv0RQVEAeNZ1x8jEkMz0LBq317b/mQMXdA6Dy8nJYdOvVbf9L4VoE440qemoc3/jmg4AnAuM0qu8SX2a0beFFw087HTuT8+8F1hm62jP4OhEFu++gKeDJS/0bsoWf92/+6rGqkEtABIu6U6uknA5EADrpt56lWfn6wNA9JHzOvenR8Rye/XOYs839XDCa1x/UkMiCVz+N679q19v+sPyrOOKiZkx+zYeZdHMP6jl41HRVaqaqtAcnMjISKZPn46lpSVr1qyhXj3t89H58+cZP348M2fOpFu3bjg7F5/oJCIigs8//xwTExN+++03mjdvDkBiYiLjx4/n8OHDbNy4kaeffvqh61mhAY6RkREDBw5k5cqVbN26tdgAR6PRsG3bNgCGDRv2X1axCEtLSywtLf/zz928eTMAr7/+eqHgBsDAwIBx48Zx6tQpdu3axebNm5k4ceJ/XseqyNBF+w8wKypa5/68ZAAqWxsUJsbkpOt+i5pfnrMTSlMT1HHxqKytsH7qSYy9agI5ZASFEL/Hjyw9AxWlhTkOwwdh3qwx6sQk4qthkgETN20gnhERo3N/RpT2gdLIzhqliTGaUtrfrJYbAGnBERiYm+DYtyNWTeqiNDUm7XY4UX8fIi1Yd+KHqs65prYto0N1t2XMHW1b2jhaY2xmTEYxPQL3MzAw0LldZajdrjRQYudiS0RQFJ51te0fdischVJBuyda4tu9Kdb2VsRGxnFkmz8Xjlx5oO9VmYTGaCdOu9npzpTmYmMOQGxyOqkZWZiV0qPSuKZDflCky8FL2uQmtubG2JgX7jHKycnhy3X/kpWdzfvD2mJsqPv3VBWZumsDyPRw3Rks8zKoGdtZY2BqnD+ErTjmXtrrMvV2OAbmJrj2a49N07qoTI1JuR1O2NbDpN4ufn5jg3fHoDRUcXXOGjSZMjytoOvnAnl98AwCr+ifiEdUbatXryYzM5OXXnopP7gBaNq0KRMnTmTu3LmsXbuW1157rdgyduzYQVZWFiNHjswPbgCsrKx48cUXeeONNzh06NAjBTgVPmA3L2DZuXNnsd1Rx44dIzIyEl9f3/yH+4CAAKZNm0anTp1o3LgxPXr04IsvvuDu3cI3xNDQUHx8fHjttdfYunUrXbp0oWnTpgwbNoysrCzef/99fHx8uH79OuvXr+epp56iadOmtGvXjmnTphEaWngsdUlzcPz8/HjhhRdo3bo1TZo0oW/fvsyZM4eEhIRHbqe871VSJp2nn36ap556Cg+Pe29QSqpvREQEPj4+9OhReAy9j48PzzzzDLGxsXz66ad07NiR5s2b8/TTT3PkyBEArl27xqRJk2jZsiUdOnRg6tSpVXIOkMpKG6xmJyXr3J9dYNiaSo/ANm94mtLMFK/vZ2I/dAAWLZpg0aIp9kP6U/v7L7Hp063EMixaNcfr+y+ps+QH7AY9QfrtEEI+/5rs+Ee/jiobQxvtg6I6UXdGLXXiveEphtYlp99VGKowtNX2rBo52dJ08WfUeuUZ7Dq3wKZVQ1yH9aTJwk9werJTGdW+crHKTU+cVEx2suQCw9Ys9UhlHJUbKNWopztjlLu3a/5/m1uZAWCf2+uTrdYwfdU7vPbdRDoNPK2qpAAAYhlJREFUbEuTDg3oOqQDHy55g0lfjC01I1hlFZ87r+n+4Wl5rMyM8v87IUW/ALI4d5PSWO2nDQZ7t6hVpM3WHbnGuaBoBrWpUy1SQheUd1/IStR9Xy44bM3Q2rzEspRGKoxstfduYydb2i7/hHpTnsapS3PsWjfAc3gP2iz5CLdiemU8hnbDpmkd7mw7Qvw5SQl9v6tnAiS4KROKcvope4cOaYfu9+rVq8i+vG2lzcV5/vnn2bNnDy+//HKRfSkp2r9hjzpaq8IDnAYNGtCgQQPi4uI4fLjomG2413uRFwwdPnyYYcOGsWXLFuzt7enRowdGRkasXLmSYcOGERJS9B/b5cuXee+993Bzc6N169a4u7tjaHjv7doPP/zARx99hFKppEuXLhgYGLBlyxZGjRpFcrLum2xBc+bMYdKkSRw7doz69evTvXt30tLSWLRoEUOHDi0SKD2o+vW1Qz++/fZbjh49qnPOUpcuXZg9ezb9+vV7pM8CbTfhiBEj2LFjB82aNcPLy4vz588zadIk1q1bx4gRIwgMDKR9+/YYGRmxa9cuxowZQ0bGo/1R/68pjLQPJDmZmTr3F9yuMCp9fHteBjWlsTHxu/24NeU9rj4zgYBX3yVu5z4UhiqcJz2PectmxZfhVRPjGu4oc69PlY01Fi2b6/uVqhRlbvtrMrJ07tcUbP9S3oYbmJnk/3fdD19Ek5HJlQ9+5Hi/Vzn97HuEr9+DUmWA1+ujsWruUwa1r1yMTLRtmZmuuy0z0++1pZEeczXOHLgAQP8JvYskBFAoFAyY0Dv//+ftNzXX/g5Gvj2Emj4eLPp0FS+0foMJrV5n0aeryEjLpPvwTgx9pWpmWsrInYtUXG9Jwe0ZOuYt6SstU817v/mRlJaJjbkxz3dvVGh/eGwyC/45h4OVKVOe1C9pRFViUMp9ITvj3rWcdw8ptizTe/eFRp9MQJORxdl3f+ZAn9c48vSHBP+5F6XKAJ+3RmLbovBQZBMXO2pPHERGdDw3f934sF9HiNJVkfgmJyeHmzdvolQqi4wmAqhVqxZKpZKbN2+WOLdeqVTi6emJvX3hucVBQUHMnz8fgEGDBj1SXSvFLM9hw4bxxRdfsHXrVrp161ZoX2pqKrt378bMzIx+/foRGxvLW2+9RVZWFj///DO9e2v/yObk5LBgwQK+//57pk2bxh9//FGonJCQEMaNG8cHH3wAaIe9FeTn58f8+fPzezOSk5MZMWIEN2/eZOvWrYwcObLY+u/du5dFixZhb2/PkiVLaNBAOzk3MzOTGTNmsG7dOt5++229J17pMnbsWDZt2sSdO3cYP348jo6OdOjQgdatW9O2bVtq1Kjx0GXrEhgYSP369Vm3bh02Njbk5OTw+uuvs3PnTj7++GNGjRrFxx9/jIGBASkpKQwdOpSgoCAOHTqkM6qvtDQaKCnzkOLB3gGk3woibuc+MoLDiN9xL+FDVngkkb/+BtnZ2D7ZG6fnnyXw1DmdZSTs8SN2yw4MLMyxbNsSx9FP4zhqGCpbayIXVc3UusXJ0WhQlND+hd5al5KIRFkgAFWaGHN1yiwyIrQ9n5kx8dxesA6VjSWOvdri+cJTXJo6+9EqX8losjUoS2jLQpPYS2lLgO2/7aHbsI641HTi/UVTWTV7PSE3wnDydGTkW0NwqelERlomxqZGZKu1D/OGuYGTlZ0lP7y5qFAWtX1/HiJHo2HSF88x4IU+/LNqX4kLhVZGSqUCTXbxbVeoWR/y4SI1I4tpy/y4FHwXA6WC6c92wM7StNAxs/46Tlqmms9GdsDCtOQH/Kroge4L6H9fMDAx5uTLX5Oee1/IiI7n5i9/YWRriUvvNtSeOJhTr9zL6lr/ndGoTE24/MVysqv44rTi8bRhwwY2btQ/OB8yZEh+AjBdEhISyMzMxM7ODiMdLxdUKhW2trbcvXuXlJQULCz0W/h4zpw5nDx5knPnzmFiYsKnn35aJB54UBXegwMwcOBAjIyM2LdvH2lphbNI7dq1i9TUVPr164e5uTnr168nISGBMWPG5Ac3oL3hTZ48mcaNG3PmzBnOnDlT5HOee+65/P9W3rdGwRNPPFFoqJaFhQWDB2tTHt68WfwEcIDly5cD8OGHH+YHN6CdY/TZZ59Rq1Ytzp49y8mTJ4spoXROTk78/vvvdOqkHV4THR3N5s2b+fjjj+nduzd9+/Zl0aJFZBbTE/Ew3nzzTWxsbABt++b1DJmZmfHOO+/kj803Nzenc+fOANy+rV/2oMpCk9vjpDDU/UZbUeDNtUaPtk05dY7IX38rFNwUFPPXVgCMPdwwdNU9rEQdF09ORibqu3HEbd/DnR8XAmDTp0ex51RVeXNqlMVk1Cr4eynube69/fd+PzF7/s0Pbgq6s0Y7wd2yQW1UNv/9XLrylJ47D8HQWHdbqgo86GWW0pYA8dGJfPPKPJLik2nUrj6zNn7Mqovz+W7HDBp3aMCPby3O7xVKS9Y+/OX9/7BbEYWCmzwH/jpKXFQCJmbGNG5X/LoulZVp7nWaqdbdO1Nw+8PMiYlLTmfqwr2cvhWJUqHgo6fb0c7HrdAxm4/f5MSNCHo0rUGXRp4P/BlVQXbudaQspte84PZS7wsF7tsRu47nBzcFBa36BwDrhl75w+Pc+nfErlUDIvefIqaY5ARClJlyShMdFhaGv7+/3j+lTTXIe0Y3NTUt9hgTE22vad5QM31s2rSJM2fOoNFoUCgUBAYGkp7+aC8VKkUPjo2NDT179mTHjh3s3buXAQMG5O/LG542fLh2bYXjx7WL87Vtqzttb6dOnbh48SInTpygRYt7XfdWVla4uxe/+nCzZkWHDDk4aCd/pqYW/5ZRrVZz5swZVCpVoYArj0qlok+fPixcuBB/f/8SM8WVxsPDgyVLlnDr1i327dvHsWPHOH36NKmpqQQFBTFnzhy2bNnCihUrsLXVfyXt4tzfJnll1qxZE3PzwuOe87LKVbUhatlJyRhYmGNQzFsGA8t727MTHn1l5uy4BNTxCahsrDF0tNcr4UDy8VNkhIVj7O6KWYN6JFSjbGrqxBRUluaoLHWPo1dZ3duuLqX9s1PTtW9+lUpSi1nhPC00Eo06G6XKAGNne9Tx1We17eT4FCyszbEoZk6Cpc297Yl6rjJ+48wt3u43nT6juuGdm6Ut6HIIe/88SHxMIma5PQvx0dr5YSm5a+WEXNfd/jk5OdwJjMDWyRonj+In11dWVmZGJKVlFpuyOaHAdltzE53HFCfsbhKvL95H2N1kDJQKPh3RgT4tahU6JiohlZ//Po2lqRFvD374vyWVXVZiMoaWZqgszXTuNyxwX8gs5d+wOuXefSG52PtCVP59wcTFHoXKAO/JQ8hKTOH6j38+/BcRooK5u7vTpk2b0g8scHxJ7u8cKElpy78UtH79eqytrbly5QqzZs1i5cqVBAUFsXjxYr3LuF+lCHBAuybOjh072LZtW36AExkZyb///kvt2rXx9fUFIDxcmwFp8uTJJZaXd1ye0tI668qMltdDUdIvKT4+nqysLFxcXDA21j3xNG/Sf0yM7uxGD6p27drUrl2bF198EbVazfnz59m2bRt//vkn169f5/PPP+f7779/pM9QKBRYW1sX2Qbk9+ro2lfVZIaFY+TqjKGT7octQ0ft9qzYuGLn6RRhYAA5muJX2M5tq5zct70KI0MMXZzQpKSivhun85Ss8EiM3V0xsP5v05OXt7SQCEzcnTB20b3Gj7GzdntmTHypb2pz1NlkRNzFxE13Ct/co/LHEeWUwUJilcmdwAhcajrh6K67LR3ctNvjouKLnaejS1JcMn/N21Zku1ejGhioDIiNjCMlNxlEeGBEqWmo89JHq4vpBanMajpaEXY3mfA43W8mI3K3O1iaFlq0szQ3w+N4Y/E+7ialY2JowMwxnenQoOiDxokb4STn/u76/29DseW9+qu2B/mFXk14sU9TvetRWaQGR2Lm7oRpMfcFE2dtMosMPe8L6eF38zOz6Twmp8B9QZ2NXasGGFpog6vOG4sfyur7/ZsABC7/m8Dlf5dYDyFKVE7PUEOHDi1xyNmDMjPT/rso6WV2Xs9L3rH6cHFxAcDX15clS5bw5JNPcujQIc6cOVOos+JBVJoAp1OnTri4uHD48GHi4+OxsbFhy5YtaDSaQqmh81Y37dmzZ4mNlzcpP09pUefDPqDrE6Hm1VnXeEV9pKamcvPmTQwNDQsNgQNtD5Gvry++vr507dqVSZMmsWvXLjIzM0v9vJJWilUqlQ8UqVdV6QGBWLRqjmk9b+J37iuy37Sedp2F9Bu612O4n/fC7zB0sCfsu/kkHf63yH6VrQ2q3CAlM/QOAC6vvIB1l/bEbd9D5GLdc2xUdtreM3VcvF71qCpSrt/Gtl1TLBrUJnJr0awrFg28AEi+GqhXeclXAzFxc8S8Xk2d+42d7VEaqsjJ1ugcwlaV3bp4G99uTanbvDZ7/ijalnWbadvy5jn92tKnZR3qNK3F1VM3CTgfVGS/bzftg/Nl/+v52wIuBNF9eCdqN9bd/gAuuemso0LK5oXPf6mBhz1Hr97hYnAMQ9sXXRvrUrD2OzWsof+ivCHRiby2aB9xyelYmhrx7YRuxa6zY2dhQtNaxT+oXwqOIVuTQ20XayxMjHC2LTnDWGWVdC0Yh/ZNsGroRdiWQ0X2WzXUXsuJV4L0Ki/xahCm7o5Y+dREVx+OibNd/n0hPeIuRnZWxF8ofmi6VQMvlCoDkm+FoU5Jy09bLcRDqyLviC0sLDAzMyMuLg61Wl0k05larSYuLg5jY+OHXi/SysqKbt26sW7dOi5fvlz1AxylUslTTz3FggUL2LlzJyNGjGDLli2oVCqeeuqp/OOcnJwICgpiwoQJjzTcq6zY2NhgaGhITEwMGRkZOntx8rK63Z8tQl/Xrl3j2WefxcfHhy1bthR7XNeuXXF0dCQ6Oprk5GTs7OzygxRdwUxSUvUZnvOwkv49hcOIIVi08UVpYY6mQFpolAqsu2vnPCX6HdWrvIyQMAwd7LHu1lFngGM3+AkAUi9eITsxKf+/rbu0x7JjG6JXrUNz37hT0/p1Maldk5wsNSnnLj7M16y0Yg+dweO5gdh2bI6BpRnZBVctVypw7NsegJi9x/Uq7+6Bkzj0aIN9F19Clm0m6258of3Og7oBkHj+OtnJVWuCe2lO7DrD8CkDadWzOebWZoUm8CuUCroM0bbl4a36tWWdZl6M+X979x0V1dW2Dfw6NEUQUEEUK1jAAtiwgoq9N2yJvTyWaOKraIwm0aiJqImJLVYsETsYiB1B7BoEUUAR7IJSpAgoIPV8f/gxyQRQ2sxxxuu3VtZ6OWePz8V5Zx3mnrP3vb8ejmsnA7DRWX6agK5eRXQf1RkA4Hvwouz4jbO3MPHb0ahe2xitu9nipp98I41WjjYwNquKjLS3CL0WVqrfU0pdretgp28oLt19jpT0TLl20bl5eTgZ+O6LkD6tzIv1773NysH8PRfx6s1bGOlVwMZp3dGwZtHTiztY1UIHq6KnkPT5wQMp6ZlwHmyn0q2jX166DfOJ/WFib4sHlSvJtYWGhoCafdoDAGJ9bhTr34s7HwTT7nYw6dISj3YeQ1aCfMv92kO6AACSgx8g500Gkm6EIelG0e9P+7/WQMdQH/c3HEHybbaOpk+HIAho2LAhQkJC8PTpUzRsKP/E/smTJ8jLy5PbH6cwhw8fxo0bNzBt2jRYWhbsapr/BX1R28cUx0f1FX3+k5qzZ8/i8ePHuH//Prp06SJbCwNAVtQU1WN70aJFcHJywrlz5xQfGIC2tjZatmyJnJwc+Pj4FDifk5MDX9930wWKWjf0IY0aNYKenh4iIiLe26ggKSkJycnJMDY2RtWq7x7h5z/lio8vuJHl7du3S5VHnWQ+i8KbwNvQ1KuEWgtmQ0P/3TeegrY2anwxBRXq1ELm82i89r8p9zrNyvrQqVUT2qbV5Y4n/fVuEbt+KxuYjBkBaP3/hcYaAqoO7osqA3pDzM3FS7d/5nWnXrqO7PgEaBkawGzBLGga/TM1ULepJWotmP3u3z5+Brmv1GsvnPQnL/Dq7xBo6emi8ZLpsjU3grYWLOaNR6V6ZsiIjEXSldtyr9My0EPFOqaoUFN+auGr6yF4ffcRNCtVhNVPs+TOV+vaBjUGdwUAvPj/zQbUSeT9Fwi6EIJKlXUxd/106P//NTfaOlqY9uN41G5ohhePYxHgc1vudZWN9GBmborqdeSvZaDvbWRnZaN939bo2N9OdtzQ2ADOv89EleqGuHUhFBFBj2TnXr96g5N73t3vpq8cD+uO/zxxrtu4FiZ9/64b5ak9viWaJvexaFizCjpamSHtbTa+dbss2+smMzsXLh7+ePoyFXVNDNDlP4v/k9Pe4unLFDxPlP9SaY/fHUTGp0JDEPDTWIf3FjefkrTHL5BwPRRa+rqwXvY/2X1BQ0cLTRaMhV79mkiLjEX8ZfkCWttQD5XqmkLXTP69nHA1BCl3HkOrUkXYunwhd766Y2vUHvquwMlvNkCkdApqMqAI+U2l8j/b/lv+sS5durz337hz5w5OnDghW2f/b9nZ2bh+/ToAoFmzZgXOF9dH8wQHAOrWrQs7Ozv4+/vDw8MDAOSmpwHAqFGjsHv3buzatQvW1tZyC/vz2+Fpa2sX2jRAUSZMmIAbN25g5cqVaNCggWwaWXZ2NpYvX47IyEhYW1vDxqZ0c6H19fUxceJE/P7775g9ezaWLVuGXr16yU2ri4mJwddff43s7GxMnDhRdjy/ivb390dERISsUn78+DE2b95cyt9YvcRu24N6db+FnnVTNNz+GzKfR0PH1ASalfWRm5aGF6s3FGirW6VfDxiPGorsl/F4NGO+7Hh6SBji97vDZMwIVHMaAKM+jsiKeQltk2rQMjSAmJODmM275Ka8iVlZeL5qPeosWQD9ljZosG0tsl7EQKNCBej8/65pKZeuIf6Ah3IuiJI9WbcfldaZwbClFVrud0FGZCwq1jSGloEect6kI+KHLQWuf40hjqg9fiAyYxNwa+y/NrEVRdxfvh1Nf54LvYZ10WLP8ne7l+tWQMWa76b2RO3+C6m3wpX5KyrNzqX7UeeAGZq1t8JGPxdEP45F9drG0DfSQ1pqOn6dvaXAtNpeYx0xfPZAxL9IwFfd/7mWcZHx2L/mKCZ+Nxpfrp2KUXOHID01HbUa1oS2jjYe33lW4MkOALhvPIYa9aujXa9WWLzr/xD77CUyMzJRp3EtaGho4NaFUHhuPaXwa6EoC4e1w/QtZ3HzURyGrPRE/eqGeJH0Bq8zsqBfURurx3eWb8kNwOPqfez0DUWNKnrwXDQEwLuOa0evvZveV1FbE9u8C28bn2/lOAdUq1x05yJ1E/HrQehtNEOVVpbodPhHpEXGQremMbQN9JD9Jh2h320vcF+oPbQrzCf2R0ZsIq6P/v6fE6KI0B92oOWvc1C5UR20c1uK9Kex0NStICt2Hu88hldBEUr8DYlU07Bhw+Dq6oodO3bA3t4ezZs3BwCEhobC1dUVFStWxOeffy4bHxkZiezsbFSvXl223n3EiBFwd3fH3r170aVLF9kDgMzMTCxfvhyPHz+Gra0tWrduXeqcH1WBA7wraAICArB3716YmJgUqAJr1KgBFxcXLFiwALNnz0bjxo1Rv359PHv2DBEREdDQ0MCaNWvknvooWo8ePTB58mTs2rULTk5OaNOmDYyMjBAcHIzY2FjUqVMHv/76a5n+N2bPno2XL1/C3d0dX331FUxMTNC0aVPo6uoiNjYWd+7cQU5ODpycnDB16lTZ6+rXrw9HR0ecP38eI0aMQMeOHZGVlYUbN26gffv25dpWWlXlJL7Ck/lLYTxyCCq3bYmK9eogNz0dKZeuI+GwZ7E6nf1b4tETyIh4iCoDekPXsiEq1quDnNTXSLl0DUlep5D5tOBGtJlPIvF03veoOrQ/9Nu0QIVaZsh7+xZpwXeRfNYPr6+XvsX4xy4rIRmhX6xErbH9UbWjLSpZ1ELum3Qk+N3A8z+O4+2LlyX697ITkxE680fUHN4T1bq2QUWz6sh7m4nkgLuIOeqLlEDVmxpVXElxyVjstBLDvuiPNt1tUbdxLaS9TsfVEzfgsfE4Yp+V7Fp67zuPxNhX6DehO+o3rYsq1Q0R+/Qlrp4MwKk9vsguZIF3bnYu1n21DfaD2qH7SAfUtawNCJXx5G4kLnhcxTn3y7JGA6qoulEl7PmqL3b5huJS2HM8jE1G5Yra6NmiHv7X0wZ1TIo37/xRTLKsYUB6Vg5CnhZ8yv5vWWXYOFQVZcYnI2DaKpiP7wdjexvoW9RCzpsMxPoG4MnuE8h48f7r9V9ZCSkI+J8L6o7sgerdWkO3lgly32Yi8cZdRLn7ISngnoJ+E6IPU6U+TbVr18bChQuxfPlyjB49Wlac+Pv7IycnB6tXr5ZbkjFx4kS8ePECLi4usoYHNjY2mDNnDtatW4cJEyagRYsWMDIywp07dxAfH486depg3bp1ZWpgJYgl6eOmBBkZGejUqRPS0tIwdepULFiwoNBx9+7dg6urK/z9/ZGcnAwTExNYW1tj2rRpsmoSAJ4/f47u3bujbt26hU4h++abb+Dp6Yk1a9bI9r3J99dff+Hrr7/G0KFDsWrVKgDvnhItWrQIw4cPx08//SQ33tfXF/v27cOdO3eQnZ2N2rVro3fv3pg4cWKpF1v9V0BAALy8vBAYGIjExES8ffsW1apVQ4sWLTBixAjZPjn/lpGRga1bt+LEiROIi4uDqakphg4dimnTpsHR0REVKlSAn98/C+wtLS2hqamJsDD5D4L+/v4YP348OnToINv7J9/GjRuxadMmzJkzB1988UW5/K7/Fj5sQrn/myQvObVkbW2p5NY/lzqB+vt99fvbnFL5uP1brNQR1N6vz1Vr2wVVdeLhTqkjIPGPbxTy71absEoh/y4AnD9/Hq6urggLC4OOjg4sLS0xc+ZMdOjQQW5ct27dChQ4+S5evIjdu3cjNDQUmZmZss/NU6ZMKfPn5o+uwCEqDAscxWOBo3gscBSPBY5ysMBRPBY4ysECRz19dFPUiIiIiIg+Gao0R01FsMBRsvnz53940L9UrVoVixcvVlAaIiIiIiL1wgJHyY4fP16i8bVq1WKBQ0RERKSu+ACn3LHAUbKICLahJCIiIiJSFBY4RERERERS4RqccscCh4iIiIhIKqxvyp2G1AGIiIiIiIjKC5/gEBERERFJhVPUyh2f4BARERERkdrgExwiIiIiIqnwCU65Y4FDRERERCQV1jfljlPUiIiIiIhIbfAJDhERERGRVDhFrdzxCQ4REREREakNPsEhIiIiIpIKH+CUOxY4RERERERS4RS1cscpakREREREpDb4BIeIiIiISCICn+CUOz7BISIiIiIitcEnOEREREREUuEDnHLHJzhERERERKQ2+ASHiIiIiEgqXINT7ljgEBERERFJhfVNueMUNSIiIiIiUht8gkNEREREJBVOUSt3fIJDRERERERqg09wiIiIiIikwic45U4QRVGUOgQREREREVF54BQ1IiIiIiJSGyxwiIiIiIhIbbDAISIiIiIitcECh4iIiIiI1AYLHCIiIiIiUhsscIiIiIiISG2wwCEiIiIiIrXBAoeIiIiIiNQGCxwiIiIiIlIbLHCIiIiIiEhtsMAhIiIiIiK1wQKHiIiIiIjUBgscIiIiIiJSGyxwiIiIiIhIbbDAISIiIiIitcECh4iIiIiI1AYLHCIiIiIiUhsscIiIiIiISG2wwCEiIiIiIrXBAoeIiIiIiNQGCxwiIiIiIlIbWlIHICIiIiLVkZWVhcuXLyMyMhKZmZnvHTtjxgwlpSL6hyCKoih1CCKi4kpOTv7gH1RTU1MlpVFP4eHhxfrgMnDgQCUlIiq51NRUREVFffB93KpVKyUlUg/R0dEYO3YsYmJi3jtOFEUIgoB79+4pKRnRP/gEh6gcHDx4EEeOHMGzZ8+QlZX13rF37txRUir1kZubi99++w3u7u5ITU1971hBEBAWFqakZOolOTkZ06dPR0hISLHGs8ApHd4vFOvt27dYtGgRzp49i7y8vPeO5f2i5FatWoXo6GjUr18fDg4OMDAwgCAIUsciksMCh6iMjhw5guXLl4MPQxXH1dUVrq6uAAB9fX0YGBhInEg9rVmzBsHBwTA0NETr1q35wUUBeL9QvPXr1+P06dPQ0tJC48aNeb8oZzdv3oSZmRk8PT2hq6srdRyiQrHAISojNzc3aGho4IcffkDv3r35x1QBPD09oaOjg23btqFDhw5Sx1Fb165dQ5UqVXDy5ElUrVpV6jhqifcLxfPx8YGenh6OHDmCBg0aSB1H7WRmZqJ169YsbuijxgKHqIyioqLQvn17jBgxQuooaismJgYdO3ZkcaNgKSkpcHBwYHGjQLxfKF5CQgLs7e1Z3ChIq1atEBERIVtjQ/QxYptoojIyNTXldBMFq1u3LtLS0qSOofaaN2+Op0+fSh1DrfF+oXiNGjXCy5cvpY6htpydnfHy5Uv89NNPyMjIkDoOUaFY4BCVkZOTE4KCgvD48WOpo6itcePG4ebNmwgKCpI6ilr78ssv8ejRI9l6Jyp/vF8o3rRp0xASEoLTp09LHUUtWVpa4ttvv8W+fftgb2+PYcOGYfLkyYX+N2XKFKnj0ieKbaKJyigvLw/Ozs64du0aJkyYACsrKxgZGRU5ni1JS2fNmjVwc3PDoEGDPniN2d2r9I4cOYKlS5eibt26aNy4cZHXWRAELF++XLnh1ADvF8qxe/durFmzBu3atfvgNeY+LSVz7do1TJs2DTk5OR8cyzbRJBUWOERllJmZia+//hre3t4fnI/MlqSlk5SUhBkzZiAkJKRYc775B7V07t69iwkTJuDNmzcfHMsPLqXD+4XiRUVFYcKECYiOjpYdK+xac5+W0hk5ciRCQkLQq1cv9OvXD1WqVHnve7lt27ZKTEf0DpsMEJXRmjVrZB9WGjRogCpVqkgdSe24uLggJCQEurq6aNu27Qf/oFLprFmzBm/evIGtrS169erF66wAvF8o3sqVKxEdHQ0zMzN07dqV7+Ny9uDBAzRt2hQbNmyQOgpRkVjgEJWRt7c3KleuDDc3N1hZWUkdRy1dvnwZxsbG8PT0hImJidRx1FZoaCgsLCxw4MABaGpqSh1HLfF+oXiBgYEwMzPDiRMnUKlSJanjqB09PT2YmZlJHYPovdhkgKiM3rx5Azs7O35YUaDMzEy0bNmSxY2CaWtro0GDBixuFIj3C8UTRRHNmzdncaMg3bp1Q0BAAF6/fi11FKIiscAhKqOGDRsiPj5e6hhqje2LlaNTp064ffs2srKypI6itni/ULzWrVvj3r17bMetIHPnzoWhoSHGjx+PS5cuISUlRepIRAWwwCEqo2nTpiE0NBSenp5SR1Fb+e2LN23ahLy8PKnjqC1nZ2dkZ2dj1qxZePTokdRx1BLvF4o3d+5cvHz5Et99912xGmZQycycORNaWloIDw/H9OnT0b59ezRt2hTNmzcv9D8iKbCLGlEZXblyBW5ubrh06RKaN28OW1tbGBkZQUur8CVubElacocPH4avry+uXLkCY2NjNG/evMhrzPbFpefs7Iznz58jJCQEwLu59gYGBtDW1i50vLe3tzLjqQXeLxTv119/RUhICPz9/aGpqQkLCwsYGhoW+j4WBAE7d+6UIKXqKun0yvDwcAUlISoaCxyiMrKysoIgCAWmQ/y3aw9bkpZeUde4MLzGpVeSDy68zqXD+4Xi8X1MROyiRlRGs2bNYgtSBXNxcZE6wifh3LlzUkdQe7xfKN7evXuljkBEEuMTHCIiIiIiUht8gkNERERExdK9e/dijxUEAb6+vgpMQ1Q4FjhEZeTl5VWi8UOGDFFIDnW2adOmYo8VBAGzZs1SYBr1NX78+GKPFQQBf/zxhwLTqCfeLxRv0aJFxR4rCAJWrlypwDTq58WLFx8cIwgCjIyMuKcWSYZT1IjKKH/R8Idw0XDpva/JwL+vPa9x2RRncXb+/x94nUuH9wvF+9D7OP/68xqXTlxcXKHHc3NzkZqaitu3b2PLli2wtLTE5s2bi+wQSKRIfNcRlZGTk1OhH1hyc3Px+vVrhIaGIi4uDv369UPbtm0lSKj65syZU+jx/GscHByM27dvY9CgQRg4cKCS06mP/fv3F3o8Ly9P9sHlwIED6NmzJ5YtW6bkdOqB9wvFW7NmTaHH//0+9vb2xsCBAzFt2jQlp1N9pqamRZ4zMzODlZUV2rZti0GDBmH79u344osvlJiO6B0+wSFSsLy8PKxduxZ79+7FwYMHufGZguzfvx8//fQTXF1d0bFjR6njqK1bt25hzJgx+PbbbzFmzBip46gd3i+Uw9fXF19++SXWrl2Lfv36SR1HLU2ZMgWRkZHw8fGROgp9gljgECmBKIro2bMnzM3NsWPHDqnjqK2BAwfCyMgIbm5uUkdRa2PHjkVycjJOnDghdRS1xPuFcgwfPhyiKOLo0aNSR1FLM2bMwLVr12QbBxMpk4bUAYg+BYIgoGnTprh165bUUdSaubk57ty5I3UMtWdkZITIyEipY6gt3i+Uw8zMDI8ePZI6hlq6f/8+rl+//t7pbESKxDU4REry6NGjQhfJU/nIycnB3bt3oaOjI3UUtRYXFwd/f39UqVJF6ihqjfcLxXrz5g2CgoKgp6cndRSV8/333xd5LicnBwkJCfD390d2djYGDBigxGRE/2CBQ1RGRXWUAd4tHE5ISICbmxseP37MtSGlFBQUVOS53NxcxMfH4+DBg4iOjkbPnj2VmEy9bN26tchz+R9czp49izdv3mDw4MFKTKY+eL9QvOPHjxd5Lv9+4enpicTERLbhLgV3d/dijXN0dMSMGTMUnIaocFyDQ1RGxWn7KooitLS04ObmhpYtWyopmfoo7jXW19fH4cOH0aBBAyUlUy/vu87//lPRtGlT7NmzBwYGBsqKpjZ4v1C84l7jGjVq4NChQ6hRo4aSkqkHT0/PIs8JggA9PT00btwY9erVU2IqInl8gkNURmZmZkWe09DQQKVKldC4cWOMGzcOtra2SkymPuzs7Io89+9rPHLkSNSqVUuJydTLrFmzivxg+O8PLu3bt4eGBpdwlgbvF4o3ZMiQ976PK1WqBEtLS/Tt2xf6+vpKTqf6hg4dKnUEog/iExwiIiIiKpOcnBy8efMGRkZGUkchYhc1IiIiInq/hIQE7Ny5E97e3nLHU1JSMG/ePLRo0QIdOnSAvb09du3aJVFKonf4BIeojDIyMqCrqyt37NGjRzh16hRSUlLQsGFDDBo0CJUqVZIooWpLSkpCVlZWgXnyly9fxsmTJ5GcnIzGjRtj9OjR753+Q0XLysqCn58fjIyM0L59e7njGzdulLvOkyZNQu/evSVMq9p4v1Cs0NBQaGtrw8rKSu74oUOH5N7H48eP5xTAEvDz84OzszPevn2LIUOGwMXFBQCQnZ0NJycnPHjwAKIowtjYGCkpKcjJycHw4cOxYsUKiZPTp4oFDlEpZGVlYe3atXB3d8fgwYOxdOlS2bmDBw/ixx9/RF5eHkRRhCAIqFatGrZt24ZmzZpJmFq1JCcn47vvvoOfnx+GDx+O5cuXy8799ttv2L59O4B/Fr/r6upi/fr16Ny5syR5VVVISAhmzZqFhIQEDB06FCtXrgTw7rpOmjQJ/v7+cg0GBEHA7NmzMWvWLKkiqxzeLxQvKioKc+bMwb179wp8sF64cCGOHTsm9z7W1NTEsmXLMHz4cCniqpTo6Gj07dsXmZmZ6NWrF0aMGAEHBwcAgKurK3755Rfo6Ohg48aN6NKlC5KSkjBnzhwEBgZi165d6NChg8S/AX2KOEWNqBSmT5+OvXv3Ij09Hbm5ubLj9+7dw48//ojc3Fy0atUKy5Ytw/jx45GSkoLp06fj9evXEqZWHTk5ORg/fjx8fX2hqakpt+fK33//jW3btgEA+vTpA1dXVyxevBiampqYN2/ee9vwkrxXr15h6tSpiI+PR9OmTdGuXTvZOQ8PD/z999/Q0NDAkiVLEBISAi8vLzRs2BC///47dycvAd4vFCsjIwPjxo1DWFgYTExM5Looent746+//gIATJkyBadPn8bvv/+OatWqYfny5Xj8+LFUsVWGm5sbMjMzsXjxYmzYsEFW3ADvWkYLgoCRI0eiS5cuAICqVatizZo10NTULHZLaaJyJxJRiRw/fly0tLQUBw8eLEZERMidmzVrlmhpaSkOGjRIzM7Olh338PAQLS0txd9//13ZcVXSwYMHRUtLS3Hy5Mniq1ev5M5NnjxZtLS0FMeMGSN3/Pz586KlpaX4yy+/KDGpalu/fr1oaWkp/vzzzwXODR48WLSyshIXLlwod/zhw4eilZWVuGjRImXFVGm8Xyjejh07REtLS3HBggViZmam3LnRo0eLlpaW4syZM+WO37p1S7S0tBRXrFihzKgqaeDAgWLXrl3FvLw8ueORkZGipaWlaGVlJd66davA60aNGiV27dpVSSmJ5PEJDlEJnTx5ElpaWti0aRMaN24sO56ZmYnLly9DEARMnDgRWlr/dGF3cnKCiYkJzp07J0VklXP27Fno6uri559/luvI8+bNG/j7+0MQBIwdO1buNV27dkXt2rVx4cIF5YZVYZcuXUK1atXw1VdfyR2Pi4tDeHg4ABTYCLFBgwZo0qQJbty4oayYKo33C8Xz8/ODgYEBlixZAh0dHdnxV69e4fbt2xAEAaNGjZJ7TYsWLdCgQQNcuXJF2XFVTkxMDBo2bFig9fbff/8NAKhUqRJsbGwKvK5GjRpITExUSkai/2KBQ1RCd+/eRfPmzVG7dm2540FBQcjMzASAQteBNGvWDFFRUUrJqOru37+Ppk2bomrVqnLHAwMDkZOTAw0NDXTq1KnA6ywtLREdHa2smCovKioKlpaWch8KAcDf3x8AUKFCBbRu3brA62rXro34+HilZFR1vF8o3pMnT2BlZVVgT5sbN25AFEVoamqibdu2BV5nYWHBKa3FkJmZWaAxBvDufgwArVq1KnRfrIyMDFSsWFHh+YgKwwKHqIRevXoFU1PTAsfzv9G2sLBAtWrVCpyvUKEC3r59q/B86iA5ORkmJiYFjgcEBAB4V8hUrly5wHlNTU25NQ70funp6YVex/wPLjY2NtDW1i5wPjs7W+6JAxWN9wvFe/36dYEvQ4B/7hfNmzcv9AO6yB5LxWJsbIzY2NgCx69duwZBEIpsInD37t1C39tEysACh6iEKlWqhDdv3hQ4fuPGDQiCUOg3hcC7aT/cAK14DAwMkJycXOB4/vS0oq7x8+fPeY1LoGrVqoU+icn/4PLvltH/dv/+fX5wKSbeLxTPyMio0KlQ+feLfzfP+LcnT57INTChwrVp0wZ3797Fs2fPZMeuX78uu3d069atwGvOnj2LhIQEtGnTRmk5if6NBQ5RCZmbm+P+/ftyTwqSkpJw+/ZtAIC9vX2B1yQkJCA0NBTm5ubKiqnSGjVqhHv37sl9gx0TE4O7d+8CKHxKT2RkJO7duye3zoHez9bWFqGhoXJFTkhICJ4/fw4AcHR0LPAaf39/vHjxgnuIFBPvF4rXtGlT3L17F6mpqbJjjx49woMHDwBA1t3r3+7du4dHjx6hefPmSsupqj777DPk5uZi2rRpOHXqFE6dOoVvv/0WgiCgU6dOqF+/vtz4oKAgLF26FIIgYPDgwdKEpk8eCxyiEurevTsSEhJkrYoBYPPmzcjNzYWBgYFcC818Li4uyMvL4x4txdS7d2+kpKRg1apVyM3NRU5ODn7++WeIoojq1asXeLKQnZ0t21uksA/lVDgnJydkZ2fjyy+/RHBwMIKDg7FkyRIIggBra2s0adJEbvzz589lH2z69+8vUWrVwvuF4g0cOBDp6elYtGgREhISEB8fL9s3q379+mjVqpXc+NevX8vexz179pQiskpp2bIlZs6ciWfPnsHZ2RnOzs6Ijo6GiYmJ3P5k4eHhGDJkCMaMGYNXr15hxIgRfIJDkuFGn0QllJGRgX79+iE2Nhb16tWDIAh4+vQpAGDJkiX47LPPALxb33Dt2jUcPHgQV69ehYmJCby9vblDeTHk74IdEREBXV1dCIKA9PR0AMD69evRq1cvAO++CT9+/Dg8PDzw4MED1K9fHydOnOD6kBJYtGgRPD09ZR2SRFGEvr4+9u/fD0tLSwDA48ePsXbtWly+fBlZWVno2rUrtm7dKmVslcH7hXJMmTIFV69elXsfa2lpYffu3bCzswPwbsPKPXv24MSJE0hKSoKtrS0OHz4sZWyVcv36dRw7dgyJiYmwsrLCuHHj5NZKhoSEYOTIkdDT08PEiRMxe/bsAp3XiJSFBQ5RKbx48QILFixAUFAQgHcLgqdNmya3u7u/vz8mTJgA4N0ccVdXV06HKIHU1FSsWLECp0+fRk5ODkxMTODs7CzXtjgwMFDWLrpevXpwdXVFnTp1JEqsutzd3XHs2DEkJSXBysoKM2fORMOGDWXng4ODMWrUKGhoaGDQoEFYvnx5gc5rVDTeLxQvKysLmzdvlnsfz5kzR24BfFBQED7//HMAgJ2dHTZu3Mh1TuUoIyMDERERaNSoEfT09KSOQ584FjhEZfDixQskJibC3Ny8QDeqyMhILFu2DC1btsTnn39eaJcf+rCcnBykpqYWev1iY2OxefNmtGzZEgMGDCi04xeVXWpqKi5fvgwbGxsWkGXA+4W0EhMTcfToUbRo0aLI5g6kOC4uLjh37hx8fX2ljkKfABY4RERERKRQCxYswIkTJ3Dv3j2po9AngBPViUitREREyNaOUPnLzMxEfHw8zp8/j3HjxkkdR60lJydzClUZ3bx5EwEBAUhISIC2tjaMjY3Rtm1bWFtbSx2NiBSIBQ5RCX3//fcQBAFz5sxBtWrV8P333xf7tYIgyHWdoeK7e/cuDh8+jOjoaGRnZ8tt0ieKIjIzM5GQkIDY2FiEhYVJmFS17du3D25uboiJiUF2dvZ7x7LAKZ24uDh4eXl98L18+/ZthIaGSphUdUVHR2PevHkIDg4G8M+mnvmL3m1sbPDLL79wyiWRmmKBQ1RC7u7uEAQBkyZNQrVq1eDu7l7s17LAKZ2QkBCMHTtW7sOgIAhyHwzzP7hwH5zSO3nyJH788UfZz/nXWENDA3l5ebLjxsbG6Nu3rxQRVd6TJ08watQovH79utD38r+7gBkaGkqWU5WlpqZi/PjxeP78OerVq4fevXujdu3ayM3NRVRUFHx9fREcHIypU6fi6NGj0NfXlzoyEZUzFjhEJeTi4gIAsvaY+T+T4uzYsQNZWVno3bs3hg0bhosXL+LQoUPYunUr8vLycOXKFRw6dAjm5uYlKjhJ3qFDhyAIAhYuXIhRo0bB09MTP/74I86fPw99fX1cuXIFK1asQHZ2NqZOnSp1XJW0ZcsWpKamolWrVujfvz9u3ryJM2fOYNmyZcjKysKVK1dw4cIFNGrUCJ6enlLHVUk7duzA8+fPMXLkSCxduhSamppy552dnfHDDz/A3d0de/bswezZsyVKSkQKIxIRfeQ6deokOjg4iFlZWaIoimJgYKBoaWkp+vj4yMZ4eHiIlpaW4rZt26SKqfLs7OzE/v37y36+d++eaGlpKXp5ecmO3bp1S7S0tBSXL18uRUSV17lzZ7Fdu3ZiWlqaKIqieO3aNdHKykq8dOmSbMzmzZtFKysr8cCBA1LFVGm9evUSu3TpImZnZxc5Jjs7W+zSpYs4YMAAJSb7tM2fP1+0srKSOgZ9IjSkLrCI1MXp06exa9cuuWPXr1/HjBkzcOrUKYlSqYfk5GQ0bdpU1gY6fxra3bt3ZWOcnJxQu3ZtXusySE9Ph4WFhexnCwsLCIKA8PBw2bEWLVqgWbNmuHz5shQRVV5SUhKsra1lG3haWlpCFEW5tTbTp0+HsbExn+CUUkxMDGxtbd+74a+WlhZsbW3x/PlzJSYjImVhgUNURtnZ2fjyyy8xb948eHh4yJ17/PgxLly4AGdnZyxcuFBuzQgVX6VKleSmmVSuXBlGRkZ49OiR3LgmTZrg2bNnyo6nNgwMDJCRkSH7WUdHB6ampnjw4IHcuNq1ayM2NlbZ8dSCjo4OdHV1ZT9XrVoV+vr6cu9lDQ0N2NjY4PHjx1JEVHkVK1ZEcnLyB8clJydz7ywiNcUCh6iMDh48CB8fH1hZWWHx4sVy50aPHo29e/eiSZMmOHbsGPbt2ydRStVmbm6OsLAwuYXu5ubmuHPnjty49PR0ZUdTK02aNEFQUBBSUlJkxxo0aIDQ0FDk5ubKjkVHR8t9SKfiq1u3LiIiIuSOmZubyz2NBN5tcPuhLnZUOGtra9y8ebPAdf638PBwBAYGonnz5kpMRkTKwgKHqIz+/PNPVK1aFW5ubrC3t5c7p6mpibZt22L37t0wMDDgAvhS6tmzJ2JiYuDs7IyoqCgAQNu2bRETE4M///wTwLtOa/7+/mz7WgZOTk5IS0vDqFGjcPbsWQBAt27dkJKSgh9++AFPnz7Frl27EBoaikaNGkmcVjV16dIFkZGRWL16NdLS0gAALVu2xLNnz3DlyhUAQFRUFG7cuIFatWpJGVVljR8/Hjk5OZgyZQpOnTqFrKws2bmsrCycOnUKU6dORV5eHsaOHSthUiJSFEHknBmiMmnVqhU6deqEjRs3vnfczJkzcfXqVYSEhCgpmfp4+/YtPv/8c4SFhaFr167YunUr4uPj0atXL7x9+xbGxsZITEyEKIpYvHgx92cpgx9++AGHDh1Cr169sGHDBmRmZmLAgAFyaxVEUcSOHTvg4OAgYVLVlJKSgmHDhiE6OhoODg7Yvn07IiMj0bdvX2hqaqJp06Z48OAB0tPTMWvWLHb4KqVffvkFrq6uEAQBmpqasq6X8fHxyM3NhSiKmDJlChYsWCBx0k/HggULcOLECdy7d0/qKPQJ4BMcojLS1dWVm9JTlKysLFSoUEEJidRPxYoVcfDgQSxYsED2odrExARbtmxBrVq1EB8fDx0dHUydOhVjxoyROK1qy2+f+9lnnwEAKlSogP3792PIkCGwsLBAx44dsX37dhY3pWRoaIgjR45g9OjRsLa2BvBu2tqqVaugpaWF27dvIy0tDX379sX//vc/idOqrvnz5+P3339HmzZtIAgCYmJiEBMTA0EQ0KZNG2zatInFjZKJosh1qKQ0fIJDVEYzZszAlStX4O7ujiZNmhQ65tGjRxg8eDDs7Oywe/duJSdUf0lJSTAyMoKGBr+zIdWVnp6Ohw8fombNmrInDlRy9+/fR4MGDWSNSXJzc5GcnAxRFGFkZPTe7mpUMjdv3kRAQAASEhKgra0NY2NjtG3bVla8E0mFBQ5RGV27dg1TpkyBoaEhvvrqKzg6OqJGjRoAgLi4OFy6dAkbNmxAYmIitmzZgq5du0obmIgks2nTJlhZWaFHjx7vHefu7o6goCBuJFwKPXr0gLa2Nk6fPi11FLUVHR2NefPmITg4GABkT2YEQQAA2NjY4JdffuGaSJIMCxyicrBt2zasX7/+vY/fZ8+ejVmzZikxlXpJS0vDiRMn8ODBA2RkZMh1VPs3QRCwcuVKJadTHyEhIfjjjz+KdZ19fX2VnE71WVlZYfDgwVi9evV7x82cORPXrl2TfYCk4rO2tkaXLl2wadMmqaOopdTUVAwbNgzPnz9HvXr10Lt3b9SuXRu5ubmIioqCr68vIiMjUa9ePRw9ehT6+vpSR6ZPEAsconJy584dHDp0CAEBAXj58iVyc3NhbGyMVq1a4bPPPkPr1q2ljqiyXrx4gTFjxiAuLu6Dc7gFQeAi1lIKDAzEpEmTkJOTw+tcTlxcXJCamir72dPTE3Xr1n3v/eDNmzc4d+4cqlWrxg1VS2Hw4MHIzMzEyZMn5fbPovKxdu1a7NixAyNHjsTSpUsLXOPc3FzZWr7Zs2ezUQZJggUOEX30vv76axw7dgwNGzbEoEGDYGJi8t4PLoMGDVJiOvUxadIkXL9+HYMHD8bnn38OY2Pj965XMDU1VWI61bR//36sWLFC9rMgCMVeaO3s7MxGA6UQHh6OadOmwczMDKNHj4aVlRWMjIxk06f+i+/jkunduzcyMzPh6+tb5P0hJycHPXr0QOXKlXH8+HElJyRigUNUrrKysnDnzh0kJCRAR0cH1apVQ5MmTbiotYw6dOgATU1NeHt7Q09PT+o4aqtVq1YwMzPDiRMnpI6iNvLy8nDq1Cnk5eVBFEUsXLgQrVq1wujRowsdLwgCKlSogHr16sHS0lLJadVDhw4dkJmZiYyMjA+OFQQBYWFhSkilPmxsbODo6Ij169e/d9ycOXNw6dIl3Lp1S0nJiP7BT11E5SAnJwcbNmzAvn37CvxRrVy5MkaNGoWvvvoK2traEiVUbenp6ejSpQuLGwXT0NCAhYWF1DHUioaGBgYMGCD72cPDA/b29nzKqEC6urrQ1dWFkZGR1FHUUsWKFZGcnPzBccnJyfybR5JhgUNURrm5uZg5cyauXLkCDQ0N2NraolatWsjLy0NUVBTCwsLg6uqK8PBw7NixQ+q4KsnCwgLR0dFSx1B7zZs3R3h4OERRLHI6D5WNm5ub1BHUnp+fn9QR1Jq1tTX8/f0RERFR5FPG8PBwBAYGol27dkpOR/QOCxyiMjp8+DAuX74Ma2tr/PrrrwXaYkZGRmLevHm4cuUKjh49CicnJ4mSqq4xY8bgu+++w8WLF9GlSxep46itL7/8EuPHj8fGjRvx1VdfSR1Hrd26dQsxMTHIysqSO56Xl4fMzEwkJCTg/Pnz+PPPPyVKSFS48ePH4+rVq5gyZQoWL16MHj16QEdHB8C7adq+vr5YuXIl8vLyMHbsWInT0qeKa3CIymjEiBF4/PgxfHx8ULVq1ULHJCUloWfPnmjcuDEOHjyo5ISq7+HDh1i3bh0uXryIfv36wcbGBpUrVy7yKcPAgQOVnFA97N+/H5cvX8bFixdRs2ZNNG/eHAYGBoVeZ0EQsHz5cglSqrbXr19j8uTJuHPnznvH5T9FY6e60ktKSoKHhwcCAgIQGxsLe3t7LFy4EFu2bIGlpSW6desmdUSV9csvv8DV1RWCIEBTU1O2MW18fDxyc3MhiiKmTJmCBQsWSJyUPlUscIjKqGXLlmjfvj22bNny3nEzZ87EzZs3cePGDSUlUx9WVlZy3ac+NH2KHwpL57/X+X344bt0fv75Z+zcuROGhoZo3749oqKiEB4ejsGDByMtLQ1BQUFISEhAo0aNsGbNGjRp0kTqyCrp4sWLWLBgAV6/fi0rFgcOHIg1a9Zg4MCBePjwIcaPH49FixZJHVVlnTt3Dnv27MHt27eRnZ0NANDW1kaLFi0wYcKED25mS6RInKJGpET5fwSoZIYMGcI1IUrg4uIidQS15+fnB21tbXh4eKBOnTrw8fHBV199hc8++ww2NjZ4+/YtnJ2d4efnh6SkJKnjqqTw8HB8+eWXEAQBkyZNgr29PSZPniw7P2bMGPz222/Yu3cv7Ozs+EG8lLp3747u3bsjNzcXycnJEEURRkZG7BpKHwW+C4nKyNzcHAEBAUhJSYGhoWGhY5KTkxEQEMAOVaW0atUqqSN8EoYOHSp1BLUXExODli1bytbqNWvWDKIo4tatW7CxsUHFihWxatUqdO7cGX/88Qc6deokcWLVs3nzZuTk5GDnzp3o0KFDgfOjR4+GjY0Nhg8fDjc3NxY4ZaSpqYlq1apJHYNIDgscojIaNmwYfvzxR3zxxRf49ddfC2waFxsbi3nz5iEtLQ2DBw+WKCVRyXBPJ8X591o9MzMz6Ojo4MGDB7JjlStXRuvWrT+4TocKFxAQAFtb20KLm3xNmzZF69at8ejRIyUmU03ff/89BEHAnDlzUK1aNXz//ffFfi3X6pFU+JeKqIw+++wzeHt7IyAgAN27d0eLFi1Qq1YtAMDz588RHByMnJwc2NnZ4fPPP5c4rWrI3/m6W7du0NPTK/FO2GwyUHrc00mxqlevXqDled26dRERESF3TFdXF69fv1ZmNLWRlpYGY2PjD46rXLkyr3ExuLu7y6b7VatWDe7u7sV+LQsckgoLHKIy0tTUxM6dO7F27VocPnwYgYGBCAwMlJ3X1dXFmDFjMG/ePH77XUwLFiyAIAg4deoUzM3NZT8XFwuc0uGeTorXtm1bHD16FOfPn4ejoyMAoEmTJjh9+jSioqJQp04dZGVlITg4WNaZikqmZs2aCAsLe+9+Trm5uQgLC0ONGjWUnE715K/Ny38/cq0eqQJ+2iIqo9zcXOjo6GDRokWYN28eQkND8fLlSwDvvq1t3rw5KlasKHFK1ZLfVKBy5cpyP5NicU8nxZs8eTKOHz+OL774AiNHjsSyZcswcuRIHD9+HFOmTEHfvn1x9epVxMfHY8iQIVLHVUk9evTArl27sG7dOsydO7fQMRs2bEBcXBwmTpyo3HAq6L9r87hWj1QB20QTldGIESNQq1YtrFu3TuooRGXCPZ2U48aNG1i+fDmsra1l34YvXboUhw8flo2pW7cu3NzcCqzpow9LTU3FsGHD8OLFCzRr1gx2dnbYvXs3WrRoga5du+LSpUu4desWTExM4OXlVeR7nYhUFwscojKytbWFnZ0dXF1dpY5CVCbc00m50tLSoKenJ/s5ICAAwcHBqFmzJhwdHVGpUiUJ06m2mJgYODs7IygoqNDzVlZW+PXXX9nZspTS0tJw4sQJPHjwABkZGcjLyyt0nCAIWLlypZLTEXGKGlGZGRoaIj09XeoYaqWkTQX+i2twFI97OpXdv4sbALCzs4OdnZ1EadRLzZo1ceDAAQQHB8Pf3x8xMTHIzc1F9erV0aZNG7Rv317qiCrrxYsXGDNmDOLi4j64KTALHJIKCxyiMvr666+xcOFCrF69GuPHj0fNmjWljqTyStpU4L9Y4JQO93RSvICAgA+OEQQBWlpaqFy5MmrVqsU1fGVga2sLW1tbqWOolfXr1yM2NhYNGzbEoEGDYGJiAk1NTaljEclhgUNURj4+PjAzM8OePXuwZ88eGBgYwMDAABoaGoWO9/b2VnJC1cOmAtLgnk6KN27cuBK9tzU0NGBvb4/vv/8etWvXVmAy1RUXFwfgXZcvDQ0N2c/FxXVOJXP58mUYGxvj8OHDBZ5CEn0suAaHqIysrKyKPVYQBNy7d0+BaYhKLzc3FxMnTkRAQAC0tLTeu6fT7t272fa8FDZv3ozz588jNDQUBgYGcHBwQK1atSCKImJiYnDt2jUkJSXBzMwMzZo1Q2RkJCIiImBqagovLy9UqVJF6l/ho2NlZQUNDQ2cPHkS5ubmsLKyKnYRKQgCwsLCFJxQvdja2qJLly7YsGGD1FGIisS/TkRldO7cOakjEJUL7umkeLa2tti0aRN69+6NlStXFvgGPCsrCz/88AOOHTuGNWvWoE2bNnB3d8f3338PV1dXLFiwQKLkHy8zMzMAkL0n838mxbCwsCiwWS3Rx4ZPcIjoo7N169YyvX7GjBnllOTTlZmZyT2dFODzzz/Hixcv4OPjAx0dnULH5ObmomfPnqhVqxbc3NwAAP3790deXh5Onz6tzLhEBXh4eOC7777Dtm3b0KVLF6njEBWKX8ERlUF2djbi4uIKnRsfFRWFc+fOYciQITAyMlJ+OBW2bt26Uq3Byd+5nAVO2VWoUAFt2rSROobaCQsLQ5cuXYosboB3T9JsbGxw4cIF2bEGDRrg8uXLSkhI9H4tWrRAjx49MHv2bPTr1w82NjaoXLlykfdsNn0hKbDAISqlo0ePYt26dejQoQPWrFlT4Pzly5exatUqbNq0CfPmzcPnn38uQUrVNGvWLDYZkICXl1exxmlra0NfXx9169aFubm5YkOpGX19fbx48eKD4168eIEKFSrIfs7KynpvUUTAvXv34OPjg8TERJiZmaFPnz6oV6+e1LHUzoABAyAIAkRRxF9//YVjx469dzwLHJICCxyiUti1axd+/vlniKKI2NjYQsdUqVIF9erVw7Nnz7BixQq8fv0a06dPV3JS1fTll19KHeGT9M0335S4sGzYsCFWrlwJa2trBaVSL61bt8bZs2fh4eGB4cOHFzrGy8sLoaGhcHR0BPDuSXFISIis4QMVtGbNGuzevRvAP09yN27ciPnz52PixInShlMz7HJJqoBrcIhKKDQ0FCNHjoSOjg6WL1+OQYMGvfdmf+TIEaxYsQKiKMLDw6NEXdeo5JKTkzklsJT++usv2eaI5ubmsnUg+R2+Lly4gIiICNStWxfdunXDs2fPcOnSJejp6eHPP/9kG+NiePDgAUaNGoWMjAz06NED3bt3h5mZGfLy8hATE4Pz58/Dx8cH2traOHToEBo0aICpU6ciMDAQ8+fPx5QpU6T+FT46p0+fxty5c6GlpYVu3bqhTp06ePjwIS5evAhBELBnzx60a9dO6phqIzc3l/ve0EePT3CISmjfvn0AgNWrV6NPnz4fHD9y5EhoaWlh8eLF2LdvH3788UdFR1RLcXFx8PLyQnR0NLKzs+V20BZFEZmZmUhISMDt27cRGhoqYVLVpaWlheDgYIwfPx7ffPNNgb2c5s6diw0bNmDLli1o06YNvvnmG1y6dAnTpk3Dzp07sXTpUomSq45GjRph+/btWLRoEXx8fODr6yt3XhRF1KhRAy4uLmjatCkePXqEgIAANGvWDJ999plEqT9uf/75JzQ0NLBjxw506NBBdvzEiROYP38+jhw5wgKnHI0ePRq1atXCunXrpI5CVCQ+wSEqoW7dukFbW7tEG3aKoghHR0doa2vDx8dHgenU05MnTzBq1Ci8fv1aVtjkzwHP/7+Bd9fZ0NAQ/v7+kmVVZcOGDUNaWhrOnDnz3qeS/fv3h66uLjw8PGSve/36Nd/bJZCdnY2LFy/i2rVriI6ORk5ODmrUqIF27dqhV69esvU3iYmJCAsLQ4cOHdiauwj29vaoW7cuDhw4UOBcnz59kJOTU6CQpNKztbWFnZ0dXF1dpY5CVCTeLYlKKD4+Hp07dy7RawRBQPPmzXHp0iUFpVJvW7ZsQWpqKlq1aoX+/fvj5s2bOHPmDJYtW4asrCxcuXIFFy5cQKNGjeDp6Sl1XJX16NEjODo6fnB+faNGjXD+/HnZz3Xq1JHr+EUfpq2tjR49eqBHjx6Fns/KysKpU6cwZMgQODg4KDmdaklJSUGNGjUKPde4cWN2nytnhoaGSE9PlzoG0XtpfHgIEf2bvr4+MjMzS/y6nJwcLswsJX9/fxgZGcHV1RVjxozBiBEjIIoiatasibFjx2Lr1q2YM2cOHj58CHd3d6njqqyqVavi4cOHHxz36NEjuQ0qMzIyCmxYSaXz6NEj/PTTT3BwcMDixYuljqMSsrOzi3y6VaFCBbx9+1bJidTb119/jeDgYKxevRoxMTFSxyEqFJ/gEJWQmZkZHj9+XOLX3b9/H6ampgpIpP6SkpLQvn17VKpUCQBgaWkJURQRGhoq+3Z7+vTpOHDgADw9PblWoZQ6duyIP//8Exs3biyyk92WLVvw4MED9O/fHwDw5s0bBAUFoVGjRsqMqlaysrJw5swZHD58GEFBQQDeTbfU19eXOBlRQT4+PjAzM8OePXuwZ88eGBgYwMDAoMCavXwlmc5NVF5Y4BCVUNeuXbF582b4+fmhW7duxXrNhQsXEB0djSFDhig2nJrS0dGBrq6u7OeqVatCX18fjx49kh3T0NCAjY0N19+UwaxZs3DhwgVs3rwZFy5cQLdu3Qp0+AoLC4OhoSH+7//+D2lpaRg+fDjS0tL43i6FJ0+e4PDhw/Dy8kJKSgpEUYSmpiY6deqEwYMHFzl9jUhK/y1YUlJSkJKSUuhYzlogqbDAISohJycn7NixA0uWLEG9evXQoEGD945/9uwZvv32WwiCUOS+F/R+devWRUREhNwxc3Nz3L17V+5YTk4OsrOzlRlNrZiZmcHNzQ3ff/89bt68ibt378o1cACAZs2awcXFBXXq1MH9+/fx9OlTODo6wsnJScroKiM7Oxtnz57FoUOHEBgYCOCffVu++eYbDBw4ENWqVZM4JVHRzp07J3UEog9iFzWiUti/fz9WrFgBXV1djBkzBv369UOTJk3kPgyGhobCx8cHbm5uePv2Lf73v//B2dlZ4uSqad26ddi2bRsmTpyI2bNnQ09PDytXroSbmxt27NgBe3t7REVFYdCgQahZsyZOnToldWSVd+/ePVy7dg0xMTHIzs6Wdfhq1aqVbMzr168RHx8PCwsLCZOqhmfPnuHw4cPw9PREcnIyRFFE1apVMWjQIFy9ehUPHz7EvXv3pI6pkqysrGBsbFzo+/Dx48dITEyEnZ1doa8VBAF//PGHoiMSkZKxwCEqpW3btmHjxo3Izc0F8G4PESMjI+Tk5CA1NRV5eXkQRRFaWlqYOnUq/u///k/awCosJSUFw4YNQ3R0NBwcHLB9+3ZERkaib9++0NTURNOmTfHgwQOkp6dj1qxZmD17ttSRiQC824Ty8OHD8Pf3l01Bc3BwgJOTExwdHaGlpYVx48YhMDCQBU4plWXzZEEQeN3LIDg4GDdu3EBsbCysrKwwYsQInD9/Hra2tqhatarU8egTxgKHqAzCw8Oxd+9e+Pj44PXr13LnTE1N0a1bN4wdO/aD09jowxITE7Fp0yZUrVpVtgD++PHjWLp0qaxlab9+/eDi4iLbQ4RKLyUlBRkZGcjLyytyjJmZmRITqSYrKytoamrC1tYWffv2Rf/+/Qt88GOBUzZlbQ0/dOjQckry6Xj+/DkWLFiA27dvy44NHDgQa9aswfDhw/HgwQP8/PPP6NWrl3Qh6ZPGAoeoHOTl5SE+Ph4vX76ElpYWTExMYGxsLHWsT0J6ejoePnyImjVrwsTEROo4Km/Pnj3YuXMnEhIS3jtOEASEhYUpKZXqsrKygo6ODmxsbNChQwf06dOnwBceLHA+DsnJyUhPT2fh/gFJSUlwcnJCTEwMmjdvDnt7e2zduhWDBg3CmjVrsGjRInh5eUFDQwPu7u5o2rSp1JHpE8R9cIjKgYaGBkxNTWFtbY0mTZoUq7hxcXFhl6RiWrlyZYGGAvkqVaoEGxsbFjflwN3dHatWrUJ8fDwqVqyImjVrok6dOoX+V7t2banjqoStW7eia9euuH37NjZt2oQBAwbAyckJ+/fvL7LzFEnjp59+4j25GDZv3oyYmBjMnTsXHh4eBaZfu7i44KeffkJubi62b98uTUj65LGLGpFEkpKS8OLFC6ljqIS9e/fCzc0N5ubmGDx4MAYMGIBatWpJHUvtHDhwABoaGlixYgWGDh1a5L4WVHxdu3ZF165d8erVKxw7dgyenp64e/cuwsLCsHr1ajg6OiIuLk7qmPT/cVLLh/n5+cHCwgLTp08vcsywYcPwxx9/ICQkRInJiP7Bv15E9NH77rvvYGtriydPnuC3335Dz549MXbsWLi7uxdY+0Sl9/jxY7Rq1QpOTk4sbspZlSpVMGHCBHh5ecHLywtjxoyBnp4evL29ERkZCQBYsmQJrl+/zg/Z9FGLj48v1sa+9erV++BUVyJF4V8wIvrojR07FocOHYKfnx+cnZ1haWmJwMBALFmyBJ06dcJXX30FX19f7oFTRnp6etDX15c6htqzsrLCd999h8uXL2PDhg3o2rUrNDU1ceTIEUyePBkODg748ccfERQUJHVUogKMjIxkRfn7PHnyBIaGhkpIRFQQCxwiUhk1a9bE//73P3h6euL06dOYNWsWateujbNnz+LLL7+Evb09li5dKnVMldWpUycEBwfjzZs3Ukf5JGhpaaFXr17YunUrLly4gPnz58PCwgIJCQnYt28fxo4dK3VEogLat2+P8PDw92746evriwcPHqBdu3ZKTEb0DxY4RKSSzM3NMXv2bJw6dQobNmyAqakpUlJScOTIEamjqSxnZ2doamrC2dkZUVFRUsf5pBgbG2Pq1Kk4efIkjhw5glGjRsk9TUtOTkZ0dLSECYnemTlzJipWrIg5c+Zg9erVuHDhAoB3HS2DgoLw22+/Yd68edDW1sbUqVOlDUufLLaJJpLIggULcOLECbaGLaXw8HCcPn0aZ86cQWRkJERRhLGxMQYMGIBvvvlG6ngqac6cOYiLi0NwcDAAwNDQEAYGBhAEodDx3t7eyoz3ycnKyoKOjg6Ad/eLkydPsjW3AvGeXLjz58+jS5cucuvyrly5gnnz5iE1NbXA/UEURejq6sLFxQV9+vRRdlwiAOyiRkQq5OHDhzh16hROnTqFZ8+eyf6QDhgwAIMGDUKnTp24OL4M/luwJCcnIzk5udCxRRU9VH7yi5t8/D6SpDBz5kxUr14dQ4YMwbBhw1C/fn3Y29vjzJkz8PDwgL+/P2JjY5GbmwsTExPY2dlh1KhRMDU1lTo6fcJY4BDRR+/333/HmTNn8PDhQ4iiCA0NDXTs2BEDBw5Er169UKlSJakjqoX3zaknok+TlZUVwsPDsX37duzYsQOtW7eGk5MT+vTpg2nTpmHatGlSRyQqgAUOEX30Nm7cCODdH9pBgwZhwIABqF69usSp1A/3FiKi//Ly8sKDBw/g6emJkydPIjAwEDdv3sSPP/6Ifv36Yfjw4bC1tZU6JpEczuUgoo/elClTcOzYMXh5eWHy5MksbiSWnZ0NPz8/qWMQkZI0atQIX3/9NS5cuIBdu3Zh4MCByMvLg7u7O0aPHo3+/ftj9+7dSEpKkjoqEQA+wSEiFbBgwYJij83Ly+M6nDLw8/PD/v37ER0djezsbLl1H6IoIjMzEykpKcjNzeVibKJPjCAI6NixIzp27IiMjAx4e3vjr7/+gr+/P1avXo21a9fC0dERTk5O6Ny5M+/FJBkWOEQSEUWRi4ZLID09HX5+fu/94J2QkIDLly/j6tWrEiZVXVeuXMGsWbM++L7U09Pj/hakUpKTk+Hn54eUlBQ0bNgQDg4OBcY0aNAAbdq0kSCdatLV1cWQIUMwZMgQxMXF4dixYzh27Bh8fHzg6+sLY2NjDB06FPPmzZM6Kn2C2CaaqBy9fPkSgYGBiI2NRd26ddGjRw+EhobCysoK2traUsdTWXFxcfjss88QExMjd1wURbluXvk/88lC6UydOhVXrlzBhAkTMGLECJw5cwabN2+Gh4cHtLS0cOXKFWzatAlGRkbw8vKCgYGB1JE/GWxh/GF79+7FkSNHYG9vL9cq3s/PD/Pnz0dGRobsWKNGjbB161aYmZlJEVWtPXnyBB4eHvjjjz/4pJckwyc4ROUgNTUVy5cvx+nTp5GXlwcAGDhwIHr06IGffvoJL168wIYNG9CyZUuJk6qmLVu2IDo6WlY0hoeH4++//8bMmTORkZGB69evIzw8HI0aNcK+ffukjquy7ty5gzp16mDRokUAgM6dO2PTpk149uwZ+vbti8aNG8PCwgIzZsyAq6srv5mlj8bXX3+N48ePQxRFWFlZyY5HRUVh7ty5yMzMRL169dC7d288fvwY586dw6RJk3D8+PEC7bipdFJTU+Ht7Q1vb2/4+/sjJycHenp6UseiTxQLHKIySktLw7hx4xAREQFTU1O0bdsWx48fl53X09NDfHw8Jk+eDC8vL9SrV0/CtKrpypUrqFSpEg4dOoSqVavi4sWLuH79Otq3b4+2bdtCFEUsW7YMhw8fxtWrV9GvXz+pI6ukN2/eyE3RadSoEQAgLCwMffv2BQB07doVDRs2xLlz51jg0Efh4sWLOHbsGGrUqIGlS5eiY8eOsnObNm1CZmYm6tSpg6NHj0JfXx8AsH37dvz66684cOAAJk6cKFFy1ZeZmYlz587h+PHjuHLlCnJyciCKIuzs7GStpImkwNVfRGW0Y8cOREREYNSoUfDx8cHPP/8sd37nzp2YPXs2MjIysG3bNolSqraXL1+iRYsWqFq1KgCgadOmEEURwcHBAN4tfF28eDEMDAxw8OBBKaOqND09PeTk5Mh+1tXVhbGxMR4+fCg3zsLCAi9evFB2PKJCeXl5QUNDA9u2bYOjoyMqVKgAAMjJyYGvry8EQcDEiRNlxQ0ATJ48GYaGhgU2t6UPy8vLw8WLF7FgwQJ06NABzs7OOH/+PKpVq4bp06fDx8cHbm5uGDJkCCpWrCh1XPpE8QkOURmdPn0aZmZmWLJkCTQ1NQsdM3v2bBw/fhw3b95Ucjr1oKmpicqVK8t+NjExga6uLh49eiQ7pqOjg5YtW+LWrVtSRFQLjRs3RkhICLKysmTTdiwsLBAaGio3LikpCVpa/PNBH4fbt2+jSZMmsLS0lDseHByMtLQ0CIIAR0dHuXNaWlqwsbEp8N6mot28eRMnTpyAt7c3Xr16BVEUoaOjgz59+mDYsGGwt7eXWxNJJCU+wSEqo5iYGFhbWxdZ3OSztLREbGysklKpFzMzMzx9+lTuWL169QosXtXQ0EB6eroSk6mX/v37IykpCZMmTZIV4/b29khMTMSmTZuQnZ2NM2fO4ObNm6hfv760YdVIcnIy/vzzT+zevRuXL18udAw7fBUtMTGx0E1qAwICALzbwLawZgL6+vpIS0tTeD5Vt3btWnTr1g1jx47FwYMHkZSUBCsrK3z33Xe4fPkyfvvtNzg4OLC4oY8KCxyiMtLT0ytW4fLixQsuuCylTp064f79+3INBKytrXH//n3cvXsXAJCSkoKbN2+iZs2aUsVUeSNGjECXLl1w8+ZN7Nq1CwDw2WefwcjICL///jtsbGwwd+5cAMCECROkjKpy9u7diwEDBmDVqlVyx/38/NCtWzd8++23WLNmDaZNm4ZBgwYhOjpabtyMGTPg5uamzMgqo0KFCnj79m2B4wEBARAEAXZ2doW+LiEhAYaGhoqOp/J27NiB6OhoGBgYYOzYsfDy8oKnpyfGjh3L60cfLc4xICqjVq1a4cKFC7h9+zZatGhR6JjAwECEhYWhW7duyg2nJqZMmYK//voLP/30EwICArB+/Xp8/vnncHd3x5QpU9CpUyfcunULqampGDx4sNRxVZampia2bduGM2fOyLoBVq5cGX/88QdWrFiB0NBQ1KhRAxMnTsTAgQMlTqs62OFLserUqSM3XRV41zAj/wmOvb19gde8efMGwcHBaNasmVIyqjIHBwcMGzYM3bt35/uRVAYLHKIymjZtGi5cuIBp06Zhzpw5aNu2LYB3e7LExcXh0qVLWLt2LQRBwKRJkyROq5pMTU2xf/9+rFmzRtZooEmTJpg3bx7WrVuHkydPAgBatmyJ2bNnSxlVLfy381Hjxo359KCU2OFL8Tp37oxt27bh6NGjcHJyAgDs378fWVlZ0NXVRdeuXQu8ZsOGDcjOzkanTp2UnFb17NixQ+oIRCXGjT6JysGff/6JpUuXynWg+jdBELBw4UJO61GA58+fIzQ0FDVr1oSNjQ00NDjztrjy97spDUEQsHLlynJMo57mzp0Lb29veHp6yi2Cz8nJQbt27ZCeno7vvvsOY8aMkTvXqVMnWFhYsCtgMSQnJ6NXr1548+YNOnToAEEQcPXqVQDvGrzMmjULwLsvnSIiIrB//364u7vDwMAAZ86ckX1pQkTqg09wiMrBsGHDYGtriz/++AM3btxAbGwscnNzYWJiAjs7O4wbNw7NmzeXOqZK8vPzw9u3bwvd28bf3x8rV67EmDFj0Lt3bxY3JeTp6SlbGFzS77pY4BQPO3wpnpGREXbt2oU5c+bIChvg3X155syZsp///vtvTJ48GaIookKFCvj5559Z3BCpKRY4ROWkQYMGWL58eZHn3d3dkZGRgfHjxysxlepKT0/H9OnTERgYiA4dOhRZ4ERERGDp0qXw9PTEli1bYGRkpPywKiy/1auDgwO6du0q20OEykdiYiKsra0LHGeHr/LVvHlznD17Fjdv3kRiYiIsLS1hYWEhN8bExAR169ZFq1atMHXqVDRo0ECitESkaCxwiJRk/fr1SExMZIFTDHl5eZgyZQpu3bqFatWqFbpIGHjX9UtHRwf79u3DrVu3MGvWLOzfv1/JaVXXhg0bcOrUKVy8eBHnzp3D9evX0a1bN/Tr1w8ODg7Q1taWOqLKY4cv5dHU1JStgSxMw4YNubEn0SeCBQ4RfXSOHj2KW7duwcbGBtu2bUOVKlUKHVezZk3MmDEDQ4YMwbRp0xAUFIRjx45h0KBBSk6smnr16oVevXohIyMDfn5+OHXqFM6ePYuTJ0+icuXK6NGjB/r3748OHTpw+l8pscMXEZHy8S8WEX10Tpw4AS0tLaxdu7bI4ubfatSogV9//RUA8Ndffyk6ntrR1dVF//798fvvv+PatWtwcXFBy5YtcezYMUydOhWdOnXCDz/8gBs3bkgdVeV07twZ0dHROHr0qOxYfoevihUrssMXEZECsIsakZLk7wh/7949qaN89Nq1awdzc3McOnSoRK8bOXIkoqKicP36dQUl+7Skpqbi7NmzOH36NPz9/ZGbmwtjY2P07t0b/fv3R8uWLaWO+NFjhy8iIuXjFDUi+uikp6fD1NS0xK+rVasWwsLCFJDo02RgYIDhw4dj+PDhSE5Oxrlz57Bz507s378fBw4c4LUuBnb4IiJSPhY4RPTRMTExwcuXL0v8uoSEBOjq6iog0aft3r178Pb2xtmzZ/H48WMAQMWKFSVOpTrY4YuISLlY4BDRR6dBgwYICgrC69evUbly5WK95s2bN7hz5w4aNmyo4HSfhtDQUFlRExUVBVEUoauri969e6Nv376Frh2horHDFxGR8rDAISqh0rZ5Tk5OLt8gamzgwIG4fPkytm3bhvnz5xfrNdu2bcPbt2/h4OCg4HTq6/bt2/D29oa3tzdiYmIgiiIqVqyInj17om/fvnB0dOSTGyIi+uixyQBRCVlZWZX6tYIgsMlAMWRlZWHw4MF4+vQpZs2ahenTpxe5J0tOTg62b9+ODRs2wNDQEKdPn+bahRIIDAyEt7c3fHx8EBcXJytqOnfujD59+sDR0ZHT/oiISKWwwCEqIU9PzzK9fujQoeWURL1FRERg9OjRePv2LUxNTdGjRw9YW1vD2NgYOTk5SEpKQkhICC5evIiYmBjo6Ohgz5497OxVAg4ODkhISAAA6OjooHPnzrLpZ5UqVZI4HRERUemwwCGij9bTp08xf/583LlzB4IgFDiff/tq06YNlixZgsaNGys7okqzsrKCIAgwMDCAvb19iYoaQRCwfPlyBaYjIiIqHRY4RPTRCwwMxOnTp/H48WPEx8dDU1MTJiYmaNasGbp37w4bGxupI6okTrckIiJ1xAKHiOgTxemWRESkjljgEBERERGR2tCQOgAREREREVF5YYFDRERERERqgwUOERERERGpDRY4RERERESkNljgEBERERGR2mCBQ0REREREaoMFDhERERERqQ0WOEREREREpDZY4BARERERkdpggUNERERERGqDBQ4REREREakNFjhERERERKQ2/h/AUrFt0IXJigAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 313,
       "width": 412
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "River_14Yrcorr=River_14Yr.loc[: ,[\"Le_CrociSum\", \"CavallinaSum\", \"MangonaSum\", \"S_AgataSum\",\"S_PieroSum\", \"Vernio_Sum\"]].corr(); \n",
    "sns.heatmap( data=River_14Yrcorr, annot=True,cmap='flare' );#  columns= CavallinaSum Le_CrociSum  Le_CrociStd CavallinaStd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2nG2cDxoYnj2"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "id": "Zoh-Fi--Ynj2",
    "outputId": "fb003fa4-8bba-4936-8b3d-2832973f708d"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1368x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 515,
       "width": 1122
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(4,1, figsize=(19, 7), sharex=True) #, squeeze=False  \n",
    "\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"Hydrometry_Nave_di_Rosano\"],data=River_Arno, ax=ax[0])\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"Rainfall_Vernio\"], data=River_Arno, ax=ax[1]) # ax=ax\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"Rainfall_Incisa\"], data=River_Arno, ax=ax[2]) # ax=ax \n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"Rainfall_Bibbiena\"], data=River_Arno, ax=ax[3]) # ax=ax \n",
    "plt.xticks(rotation=90); plt.grid(b=True,) #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2009-01-01\" ),pd.to_datetime(\"2009-05-01\" ) ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "18YbxGwlYnj3"
   },
   "source": [
    "### Soil moisture condition \n",
    "> in studies this classification is a reliable indicator, but those were based on real measurements, not estimates as here is the case.\n",
    "\n",
    "Determination of the soil moisture condition based on 5-day antecedent rainfall totals. The AMC is estimated according to the Soil Conservation Service definitions (SCS, 1986). On top of that the state of the vegetation is a major factor in most events, and included in the strategy here.  "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "hrXh8agVYnj3"
   },
   "source": [
    "AMC class Dormant season Growing season [mm]  \n",
    "AMC I (dry) P<12.7 P<35.6  \n",
    "AMC II (medium) 12.7<P<27.9 35.6<P<53.3  \n",
    "AMC III (wet) P>27.9 P>53.3  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "id": "l7upH_cTYnj3",
    "outputId": "6980bb80-fb7e-4e33-ec09-0782a1e5e4eb"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AMC class</th>\n",
       "      <th>moisture</th>\n",
       "      <th>Dormant season</th>\n",
       "      <th>Growing season</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AMC I</td>\n",
       "      <td>dry</td>\n",
       "      <td>P&lt;12.7</td>\n",
       "      <td>P&lt;35.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AMC II</td>\n",
       "      <td>medium</td>\n",
       "      <td>12.7&lt;P&lt;27.9</td>\n",
       "      <td>35.6&lt;P&lt;53.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AMC III</td>\n",
       "      <td>wet</td>\n",
       "      <td>P&gt;27.9</td>\n",
       "      <td>P&gt;53.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  AMC class moisture Dormant season Growing season\n",
       "0     AMC I      dry         P<12.7         P<35.6\n",
       "1    AMC II   medium    12.7<P<27.9    35.6<P<53.3\n",
       "2   AMC III      wet         P>27.9         P>53.3"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AMCclass=pd.read_csv(r\"http://vanoproy.be/css/AMC.csv\",header=1, sep=\",\", engine='python', encoding=\"UTF-8\",parse_dates=True  ); \n",
    "AMCclass.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pVLcj3NiYnj3"
   },
   "source": [
    "A dormant season for vegetation is the condition when the month is 11,12,1,2,3. We included the first 15 days of April. "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "B17Qm0ldYnj3"
   },
   "source": [
    "rng = pd.date_range(start=\"2004-04-01\", end=\"2004-04-15\", freq='D')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "id": "e4lGYkwnYnj3"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"Dormant\"]= np.where( (River_Arno.index.month.isin([11,12,1,2,3])) | (River_Arno.index.isocalendar().week.isin([15,14,16]) ) ,1,0 ) # add [\"1 Apr\":\"15 Apr\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "id": "iGX_ddJ3Ynj3",
    "outputId": "015554d0-5133-4b28-b830-81e9279503d4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    8217.00\n",
       "mean        0.42\n",
       "std         0.49\n",
       "min         0.00\n",
       "25%         0.00\n",
       "50%         0.00\n",
       "75%         1.00\n",
       "max         1.00\n",
       "Name: Dormant, dtype: float64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno[\"Dormant\"].describe()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "rPAXSCfaYnj4",
    "outputId": "cf8c799b-be39-418c-a1c0-d4c33960716c"
   },
   "source": [
    "River_Arno[(River_Arno[\"Rainfall\"].rolling(5).sum()>(27.9)) & (River_Arno[\"Dormant\"]==1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YWXSelod_MXa"
   },
   "source": [
    "Antecedent Soil moisture conditions are based on rainfall amounts of the previous 5 days, and the state of the vegetation (dormant season or not). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gq0AiB81Ynj4"
   },
   "source": [
    "River_Arno[\"Wet_Si\"]= np.where(((River_Arno[\"Rainfall\"].rolling(5).sum()>(53.3)) & (River_Arno[\"Dormant\"]==0)), 1,0 ) # some area correction /3\n",
    "River_Arno[\"Wet_Si\"]= np.where(((River_Arno[\"Rainfall\"].rolling(5).sum()>(27.9)) & (River_Arno[\"Dormant\"]==1)), 1,0 ) \n",
    "\n",
    "River_Arno[\"Medium_Si\"]= np.where((River_Arno[\"Rainfall\"].rolling(5).sum()>35.6 ) & (River_Arno[\"Rainfall\"].rolling(5).sum()<53.3 ) & (River_Arno[\"Dormant\"]==0), 1, 0)\n",
    "River_Arno[\"Medium_Si\"]= np.where((River_Arno[\"Rainfall\"].rolling(5).sum()>12.7 ) & (River_Arno[\"Rainfall\"].rolling(5).sum()<27.9 ) & (River_Arno[\"Dormant\"]==1), 1, 0) \n",
    "River_Arno[\"Dry_Si\"]= np.where((River_Arno[\"Rainfall\"].rolling(5).sum()<35.6 ) & ( River_Arno[\"Dormant\"]==0), 1, 0) \n",
    "River_Arno[\"Dry_Si\"]= np.where((River_Arno[\"Rainfall\"].rolling(5).sum()<12.7 ) & ( River_Arno[\"Dormant\"]==1), 1, 0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "River_Arno= River_Arno.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "id": "iGX_ddJ3Ynj3",
    "outputId": "015554d0-5133-4b28-b830-81e9279503d4"
   },
   "outputs": [],
   "source": [
    "pd.set_option('mode.chained_assignment',None)\n",
    "#River_Arno= dfW\n",
    "dfW= River_Arno\n",
    "River_Arno[\"Rainfall_5\"] =River_Arno[\"Rainfall\"].rolling(5).sum().fillna(0, )#method=\"bfill\"\n",
    "#Rainfall_5"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "River_Arno= dfW"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>Rainfall_X</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>winteroverflow</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-07-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.80</td>\n",
       "      <td>0.99</td>\n",
       "      <td>2.95</td>\n",
       "      <td>4151.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "      <td>27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.84e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-07-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.15</td>\n",
       "      <td>1.01</td>\n",
       "      <td>2.84</td>\n",
       "      <td>4151.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "      <td>27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>2.84e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-07-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.60</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2.58</td>\n",
       "      <td>4152.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "      <td>27</td>\n",
       "      <td>1.8</td>\n",
       "      <td>-55.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1.80e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-07-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.90</td>\n",
       "      <td>1.02</td>\n",
       "      <td>2.63</td>\n",
       "      <td>4152.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "      <td>27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1.80e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-07-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22.20</td>\n",
       "      <td>1.04</td>\n",
       "      <td>2.68</td>\n",
       "      <td>4151.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "      <td>27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1.80e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2007-07-02                0.0                 0.0               0.0   \n",
       "2007-07-03                0.0                 0.0               0.0   \n",
       "2007-07-04                0.0                 0.0               0.8   \n",
       "2007-07-05                0.0                 0.0               0.0   \n",
       "2007-07-06                0.0                 0.0               0.0   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  Rainfall_Vernio  \\\n",
       "Date                                                              \n",
       "2007-07-02               0.0               0.0              0.0   \n",
       "2007-07-03               0.0               0.0              0.0   \n",
       "2007-07-04               1.0               0.0              0.8   \n",
       "2007-07-05               0.0               0.0              0.0   \n",
       "2007-07-06               0.0               0.0              0.0   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
       "2007-07-02            0.0               0.0              0.0   \n",
       "2007-07-03            0.0               0.0              0.0   \n",
       "2007-07-04            0.0               0.0              0.0   \n",
       "2007-07-05            0.0               0.0              0.0   \n",
       "2007-07-06            0.2               0.0              0.0   \n",
       "\n",
       "            Rainfall_Montevarchi  Rainfall_S_Savino  Rainfall_Laterina  \\\n",
       "Date                                                                     \n",
       "2007-07-02                   0.0                0.0                0.0   \n",
       "2007-07-03                   0.0                0.0                0.0   \n",
       "2007-07-04                   0.0                0.0                0.0   \n",
       "2007-07-05                   0.0                0.0                0.0   \n",
       "2007-07-06                   0.0                0.0                0.0   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  Temperature_Firenze  \\\n",
       "Date                                                                     \n",
       "2007-07-02                0.0                 0.0                23.80   \n",
       "2007-07-03                0.0                 0.0                23.15   \n",
       "2007-07-04                0.0                 0.0                21.60   \n",
       "2007-07-05                0.0                 0.0                21.90   \n",
       "2007-07-06                5.2                 5.0                22.20   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  Tetens  Rainf365  RainNO_3  RainNO_2  \\\n",
       "Date                                                                          \n",
       "2007-07-02                       0.99    2.95    4151.0       0.0       0.0   \n",
       "2007-07-03                       1.01    2.84    4151.0       0.0       0.0   \n",
       "2007-07-04                       1.03    2.58    4152.8       1.0       0.8   \n",
       "2007-07-05                       1.02    2.63    4152.8       0.0       0.0   \n",
       "2007-07-06                       1.04    2.68    4151.8       0.0       0.0   \n",
       "\n",
       "            Rainfall_X  month  year  week  Rainfall  winteroverflow  Dormant  \\\n",
       "Date                                                                           \n",
       "2007-07-02         0.0      7  2007    27       0.0           -56.4        0   \n",
       "2007-07-03         0.0      7  2007    27       0.0           -56.4        0   \n",
       "2007-07-04         0.0      7  2007    27       1.8           -55.4        0   \n",
       "2007-07-05         0.0      7  2007    27       0.0           -56.4        0   \n",
       "2007-07-06         0.0      7  2007    27       0.0           -56.4        0   \n",
       "\n",
       "            Rainfall_5  \n",
       "Date                    \n",
       "2007-07-02    2.84e-14  \n",
       "2007-07-03    2.84e-14  \n",
       "2007-07-04    1.80e+00  \n",
       "2007-07-05    1.80e+00  \n",
       "2007-07-06    1.80e+00  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#dfW=dfW.drop(\"Rainfall_5\")\n",
    "#dfW.tail()\n",
    "River_Arno.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "conditions = [\n",
    "    (River_Arno[\"Rainfall_5\"]>53.3) & (River_Arno[\"Dormant\"]==0) ,\n",
    "    (River_Arno[\"Rainfall_5\"]>27.9) &  (River_Arno[\"Dormant\"]==1),\n",
    "    (River_Arno[\"Rainfall_5\"]>35.6 ) & (River_Arno[\"Dormant\"]==0) ,\n",
    "    (River_Arno[\"Rainfall_5\"]>(27.9)) &  (River_Arno[\"Dormant\"]==1),\n",
    "    (River_Arno[\"Rainfall_5\"]<=35.6 ) & (River_Arno[\"Dormant\"]==0) ,\n",
    "    (River_Arno[\"Rainfall_5\"]<=(27.9)) &  (River_Arno[\"Dormant\"]==1),\n",
    "]\n",
    "choices = [2,2,1,1, 0.01,0.01]\n",
    "River_Arno['Wet'] = np.select(conditions, choices, default=np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 264,
       "width": 373
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "River_Arno[\"Wet\"].plot(); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "River_Arno[(River_Arno[\"Rainfall_5\"]>53.3) & (River_Arno[\"Dormant\"]==0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "PImQlHRHYnj4"
   },
   "source": [
    "I should do this for each rain set..."
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "SxBPXwRhYnj4"
   },
   "source": [
    "River_Arno[\"Wet_Cas\"]= np.where(((River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()>(53.3)) & (River_Arno[\"Dormant\"]==0)), 1,0 ) \n",
    "River_Arno[\"Wet_Cas\"]= np.where(((River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()>(27.9)) & (River_Arno[\"Dormant\"]==1)), 1,0 ) \n",
    "\n",
    "River_Arno[\"Medium_Cas\"]= np.where((River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()>35.6 ) & (River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()<53.3 ) & (River_Arno[\"Dormant\"]==0), 1, 0) \n",
    "River_Arno[\"Medium_Cas\"]= np.where((River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()>12.7 ) & (River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()<27.9 ) & (River_Arno[\"Dormant\"]==1), 1, 0) \n",
    "River_Arno[\"Dry_Cas\"]= np.where((River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()<35.6 ) & ( River_Arno[\"Dormant\"]==0), 1, 0) \n",
    "River_Arno[\"Dry_Cas\"]= np.where((River_Arno[\"Rainfall_Bibbiena\"].rolling(5).sum()<12.7 ) & ( River_Arno[\"Dormant\"]==1), 1, 0) "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "_Rs7_8W9Ynj5"
   },
   "source": [
    "River_Arno[\"Wet_UFL\"]= np.where(((River_Arno[\"Rainfall_X\"].rolling(5).sum()>(53.3)) & (River_Arno[\"Dormant\"]==0)), 1,0 ) \n",
    "River_Arno[\"Wet_UFL\"]= np.where(((River_Arno[\"Rainfall_X\"].rolling(5).sum()>(27.9)) & (River_Arno[\"Dormant\"]==1)), 1,0 ) \n",
    "River_Arno[\"Medium_UFL\"]= np.where((River_Arno[\"Rainfall_X\"].rolling(5).sum()>35.6 ) & (River_Arno[\"Rainfall_X\"].rolling(5).sum()<53.3 ) & (River_Arno[\"Dormant\"]==0), 1, 0) \n",
    "River_Arno[\"Medium_UFL\"]= np.where((River_Arno[\"Rainfall_X\"].rolling(5).sum()>12.7 ) & (River_Arno[\"Rainfall_X\"].rolling(5).sum()<27.9 ) & (River_Arno[\"Dormant\"]==1), 1, 0) \n",
    "River_Arno[\"Dry_UFL\"]= np.where((River_Arno[\"Rainfall_X\"].rolling(5).sum()<35.6 ) & ( River_Arno[\"Dormant\"]==0), 1, 0) \n",
    "River_Arno[\"Dry_UFL\"]= np.where((River_Arno[\"Rainfall_X\"].rolling(5).sum()<12.7 ) & ( River_Arno[\"Dormant\"]==1), 1, 0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rBcKt-qqYnj5"
   },
   "source": [
    "River_Arno[\"moist\"]= np.where( (River_Arno[\"Dormant\"] & ), "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FE6cmPQRYnj5"
   },
   "source": [
    "River_Arno= River_Arno.drop(\"moist\", axis=1)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "8jeLp5WtYnj5",
    "outputId": "b1404c47-93bf-49e0-8978-6579dd289c50"
   },
   "source": [
    "River_Arno.loc[\"10 Nov 2006\":\"2 Dec 2006\"].loc[:,['Dormant','Rainfall_X','Dry_UFL',\"Medium_UFL\",\"Wet_UFL\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "id": "kZAoEunTYnj5",
    "outputId": "6b320372-17ea-491d-927c-23729342405e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 375,
       "width": 894
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3,1, figsize=(15, 6),sharex=True)\n",
    "sns.lineplot(x=\"Date\",y=\"Rainfall_X\", data=River_Arno[\"2006\":\"2007\"].loc[:,['Rainfall_X']],lw=3, ax=ax[0]); \n",
    "sns.lineplot(x=\"Date\",y=\"Wet_UFL\" ,data=River_Arno[\"2006\":\"2007\"].loc[:,['Dormant',\"Medium_UFL\",\"Wet_UFL\"]],ax=ax[1] );# x='Dormant',\n",
    "sns.lineplot(x=\"Date\",y=\"Dry_UFL\" ,data=River_Arno[\"2006\":\"2007\"].loc[:,['Dormant',\"Dry_UFL\"]],ax=ax[2] );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qbSiZdrKYnj5"
   },
   "source": [
    "### Soil status - Rainfall threshold for flood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "id": "IkY4OBVZYnj5",
    "outputId": "4a72598e-0f39-4882-e988-1344e921837a"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_76e27_row0_col0,#T_76e27_row4_col0,#T_76e27_row8_col0,#T_76e27_row8_col2,#T_76e27_row8_col3,#T_76e27_row8_col4{\n",
       "            background-color:  #000000;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #9a9a8e;\n",
       "            color:  #000000;\n",
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       "            background-color:  #a5a55f;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row0_col4{\n",
       "            background-color:  #c1c115;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row1_col0,#T_76e27_row5_col0,#T_76e27_row9_col0{\n",
       "            background-color:  #912448;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row1_col2{\n",
       "            background-color:  #acac42;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row1_col3{\n",
       "            background-color:  #b2b228;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row1_col4,#T_76e27_row2_col2{\n",
       "            background-color:  #c5c524;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row2_col0,#T_76e27_row6_col0,#T_76e27_row10_col0{\n",
       "            background-color:  #6d6dda;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row2_col3{\n",
       "            background-color:  #c8c82f;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row2_col4{\n",
       "            background-color:  #d6d664;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row3_col0,#T_76e27_row3_col2,#T_76e27_row3_col3,#T_76e27_row3_col4,#T_76e27_row7_col0,#T_76e27_row11_col0{\n",
       "            background-color:  #ffffff;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row4_col2,#T_76e27_row4_col3{\n",
       "            background-color:  #32376e;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row4_col4{\n",
       "            background-color:  #414182;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #434386;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #404080;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row5_col4{\n",
       "            background-color:  #484890;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row6_col2{\n",
       "            background-color:  #5959b2;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row6_col3,#T_76e27_row6_col4{\n",
       "            background-color:  #5353a6;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row7_col2{\n",
       "            background-color:  #8d8dc6;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row7_col3{\n",
       "            background-color:  #8383f0;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row7_col4{\n",
       "            background-color:  #7979f2;\n",
       "            color:  #000000;\n",
       "        }#T_76e27_row9_col2{\n",
       "            background-color:  #db0c18;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row9_col3{\n",
       "            background-color:  #80070e;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row9_col4{\n",
       "            background-color:  #370306;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row10_col2{\n",
       "            background-color:  #be1b36;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row10_col3{\n",
       "            background-color:  #cd1830;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row10_col4{\n",
       "            background-color:  #ee0d1a;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row11_col2{\n",
       "            background-color:  #5050a0;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row11_col3{\n",
       "            background-color:  #424284;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_76e27_row11_col4{\n",
       "            background-color:  #692c58;\n",
       "            color:  #f1f1f1;\n",
       "        }</style><table id=\"T_76e27_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Duration(h)</th>        <th class=\"col_heading level0 col1\" >Soil_status</th>        <th class=\"col_heading level0 col2\" >Sieve</th>        <th class=\"col_heading level0 col3\" >Casentino</th>        <th class=\"col_heading level0 col4\" >Arno(upstream_Florence)</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_76e27_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_76e27_row0_col0\" class=\"data row0 col0\" >3</td>\n",
       "                        <td id=\"T_76e27_row0_col1\" class=\"data row0 col1\" >AMC I</td>\n",
       "                        <td id=\"T_76e27_row0_col2\" class=\"data row0 col2\" >90</td>\n",
       "                        <td id=\"T_76e27_row0_col3\" class=\"data row0 col3\" >138</td>\n",
       "                        <td id=\"T_76e27_row0_col4\" class=\"data row0 col4\" >96</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row1\" class=\"row_heading level0 row1\" >3</th>\n",
       "                        <td id=\"T_76e27_row1_col0\" class=\"data row1 col0\" >6</td>\n",
       "                        <td id=\"T_76e27_row1_col1\" class=\"data row1 col1\" >AMC I</td>\n",
       "                        <td id=\"T_76e27_row1_col2\" class=\"data row1 col2\" >96</td>\n",
       "                        <td id=\"T_76e27_row1_col3\" class=\"data row1 col3\" >145</td>\n",
       "                        <td id=\"T_76e27_row1_col4\" class=\"data row1 col4\" >97</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row2\" class=\"row_heading level0 row2\" >6</th>\n",
       "                        <td id=\"T_76e27_row2_col0\" class=\"data row2 col0\" >12</td>\n",
       "                        <td id=\"T_76e27_row2_col1\" class=\"data row2 col1\" >AMC I</td>\n",
       "                        <td id=\"T_76e27_row2_col2\" class=\"data row2 col2\" >104</td>\n",
       "                        <td id=\"T_76e27_row2_col3\" class=\"data row2 col3\" >157</td>\n",
       "                        <td id=\"T_76e27_row2_col4\" class=\"data row2 col4\" >102</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row3\" class=\"row_heading level0 row3\" >9</th>\n",
       "                        <td id=\"T_76e27_row3_col0\" class=\"data row3 col0\" >24</td>\n",
       "                        <td id=\"T_76e27_row3_col1\" class=\"data row3 col1\" >AMC I</td>\n",
       "                        <td id=\"T_76e27_row3_col2\" class=\"data row3 col2\" >123</td>\n",
       "                        <td id=\"T_76e27_row3_col3\" class=\"data row3 col3\" >187</td>\n",
       "                        <td id=\"T_76e27_row3_col4\" class=\"data row3 col4\" >114</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row4\" class=\"row_heading level0 row4\" >1</th>\n",
       "                        <td id=\"T_76e27_row4_col0\" class=\"data row4 col0\" >3</td>\n",
       "                        <td id=\"T_76e27_row4_col1\" class=\"data row4 col1\" >AMC II</td>\n",
       "                        <td id=\"T_76e27_row4_col2\" class=\"data row4 col2\" >58</td>\n",
       "                        <td id=\"T_76e27_row4_col3\" class=\"data row4 col3\" >79</td>\n",
       "                        <td id=\"T_76e27_row4_col4\" class=\"data row4 col4\" >59</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row5\" class=\"row_heading level0 row5\" >4</th>\n",
       "                        <td id=\"T_76e27_row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "                        <td id=\"T_76e27_row5_col1\" class=\"data row5 col1\" >AMC II</td>\n",
       "                        <td id=\"T_76e27_row5_col2\" class=\"data row5 col2\" >62</td>\n",
       "                        <td id=\"T_76e27_row5_col3\" class=\"data row5 col3\" >84</td>\n",
       "                        <td id=\"T_76e27_row5_col4\" class=\"data row5 col4\" >61</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row6\" class=\"row_heading level0 row6\" >7</th>\n",
       "                        <td id=\"T_76e27_row6_col0\" class=\"data row6 col0\" >12</td>\n",
       "                        <td id=\"T_76e27_row6_col1\" class=\"data row6 col1\" >AMC II</td>\n",
       "                        <td id=\"T_76e27_row6_col2\" class=\"data row6 col2\" >69</td>\n",
       "                        <td id=\"T_76e27_row6_col3\" class=\"data row6 col3\" >94</td>\n",
       "                        <td id=\"T_76e27_row6_col4\" class=\"data row6 col4\" >64</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row7\" class=\"row_heading level0 row7\" >10</th>\n",
       "                        <td id=\"T_76e27_row7_col0\" class=\"data row7 col0\" >24</td>\n",
       "                        <td id=\"T_76e27_row7_col1\" class=\"data row7 col1\" >AMC II</td>\n",
       "                        <td id=\"T_76e27_row7_col2\" class=\"data row7 col2\" >86</td>\n",
       "                        <td id=\"T_76e27_row7_col3\" class=\"data row7 col3\" >120</td>\n",
       "                        <td id=\"T_76e27_row7_col4\" class=\"data row7 col4\" >75</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row8\" class=\"row_heading level0 row8\" >2</th>\n",
       "                        <td id=\"T_76e27_row8_col0\" class=\"data row8 col0\" >3</td>\n",
       "                        <td id=\"T_76e27_row8_col1\" class=\"data row8 col1\" >AMC III</td>\n",
       "                        <td id=\"T_76e27_row8_col2\" class=\"data row8 col2\" >40</td>\n",
       "                        <td id=\"T_76e27_row8_col3\" class=\"data row8 col3\" >49</td>\n",
       "                        <td id=\"T_76e27_row8_col4\" class=\"data row8 col4\" >40</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row9\" class=\"row_heading level0 row9\" >5</th>\n",
       "                        <td id=\"T_76e27_row9_col0\" class=\"data row9 col0\" >6</td>\n",
       "                        <td id=\"T_76e27_row9_col1\" class=\"data row9 col1\" >AMC III</td>\n",
       "                        <td id=\"T_76e27_row9_col2\" class=\"data row9 col2\" >44</td>\n",
       "                        <td id=\"T_76e27_row9_col3\" class=\"data row9 col3\" >53</td>\n",
       "                        <td id=\"T_76e27_row9_col4\" class=\"data row9 col4\" >41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row10\" class=\"row_heading level0 row10\" >8</th>\n",
       "                        <td id=\"T_76e27_row10_col0\" class=\"data row10 col0\" >12</td>\n",
       "                        <td id=\"T_76e27_row10_col1\" class=\"data row10 col1\" >AMC III</td>\n",
       "                        <td id=\"T_76e27_row10_col2\" class=\"data row10 col2\" >49</td>\n",
       "                        <td id=\"T_76e27_row10_col3\" class=\"data row10 col3\" >62</td>\n",
       "                        <td id=\"T_76e27_row10_col4\" class=\"data row10 col4\" >44</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_76e27_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "                        <td id=\"T_76e27_row11_col0\" class=\"data row11 col0\" >24</td>\n",
       "                        <td id=\"T_76e27_row11_col1\" class=\"data row11 col1\" >AMC III</td>\n",
       "                        <td id=\"T_76e27_row11_col2\" class=\"data row11 col2\" >66</td>\n",
       "                        <td id=\"T_76e27_row11_col3\" class=\"data row11 col3\" >85</td>\n",
       "                        <td id=\"T_76e27_row11_col4\" class=\"data row11 col4\" >53</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1a2f63fc580>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Rainfallthreshold= pd.read_csv(r\"http://vanoproy.be/css/Soilstatus-Rainfallthresholdforflood.csv\", )\n",
    "Rainfallthreshold= Rainfallthreshold.sort_values( [\"Soil_status\",\"Duration(h)\"])\n",
    "Rainfallthreshold.style.background_gradient(\"gist_stern\")#.head(13) #index_col=[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "id": "w92FnUk-Ynj6"
   },
   "outputs": [],
   "source": [
    "#Rainfallthreshold['Duration(h)']= pd.to_timedelta(Rainfallthreshold['Duration(h)'], unit='H') ,\"Casentino\",\"Arno(upstream_Florence)\"\n",
    "RainfallthreshSieve= Rainfallthreshold.pivot( index=[\"Soil_status\"],columns=\"Duration(h)\",values=[\"Sieve\"]) \n",
    "RainfallthreshCasentino= Rainfallthreshold.pivot( index=[\"Soil_status\"],columns=\"Duration(h)\",values=[\"Casentino\"]) \n",
    "RainfallthreshUpstream_Florence= Rainfallthreshold.pivot( index=[\"Soil_status\"],columns=\"Duration(h)\",values=[\"Arno(upstream_Florence)\"]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "id": "lAh_-T8rYnj6",
    "outputId": "263b4e88-8e48-4032-ecd4-7c6dbae2ab42"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_567e3_row0_col0,#T_567e3_row0_col1,#T_567e3_row0_col2,#T_567e3_row0_col3{\n",
       "            background-color:  #00441b;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_567e3_row1_col0{\n",
       "            background-color:  #a5db9f;\n",
       "            color:  #000000;\n",
       "        }#T_567e3_row1_col1{\n",
       "            background-color:  #aadda4;\n",
       "            color:  #000000;\n",
       "        }#T_567e3_row1_col2{\n",
       "            background-color:  #a4da9e;\n",
       "            color:  #000000;\n",
       "        }#T_567e3_row1_col3{\n",
       "            background-color:  #a9dca3;\n",
       "            color:  #000000;\n",
       "        }#T_567e3_row2_col0,#T_567e3_row2_col1,#T_567e3_row2_col2,#T_567e3_row2_col3{\n",
       "            background-color:  #f7fcf5;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_567e3_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=\"4\">Sieve</th>    </tr>    <tr>        <th class=\"index_name level1\" >Duration(h)</th>        <th class=\"col_heading level1 col0\" >3</th>        <th class=\"col_heading level1 col1\" >6</th>        <th class=\"col_heading level1 col2\" >12</th>        <th class=\"col_heading level1 col3\" >24</th>    </tr>    <tr>        <th class=\"index_name level0\" >Soil_status</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_567e3_level0_row0\" class=\"row_heading level0 row0\" >AMC I</th>\n",
       "                        <td id=\"T_567e3_row0_col0\" class=\"data row0 col0\" >90</td>\n",
       "                        <td id=\"T_567e3_row0_col1\" class=\"data row0 col1\" >96</td>\n",
       "                        <td id=\"T_567e3_row0_col2\" class=\"data row0 col2\" >104</td>\n",
       "                        <td id=\"T_567e3_row0_col3\" class=\"data row0 col3\" >123</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_567e3_level0_row1\" class=\"row_heading level0 row1\" >AMC II</th>\n",
       "                        <td id=\"T_567e3_row1_col0\" class=\"data row1 col0\" >58</td>\n",
       "                        <td id=\"T_567e3_row1_col1\" class=\"data row1 col1\" >62</td>\n",
       "                        <td id=\"T_567e3_row1_col2\" class=\"data row1 col2\" >69</td>\n",
       "                        <td id=\"T_567e3_row1_col3\" class=\"data row1 col3\" >86</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_567e3_level0_row2\" class=\"row_heading level0 row2\" >AMC III</th>\n",
       "                        <td id=\"T_567e3_row2_col0\" class=\"data row2 col0\" >40</td>\n",
       "                        <td id=\"T_567e3_row2_col1\" class=\"data row2 col1\" >44</td>\n",
       "                        <td id=\"T_567e3_row2_col2\" class=\"data row2 col2\" >49</td>\n",
       "                        <td id=\"T_567e3_row2_col3\" class=\"data row2 col3\" >66</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1a2f5236310>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RainfallthreshSieve.style.background_gradient(\"Greens\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "tDybr4IsYnj6"
   },
   "source": [
    "#### Sieve <a id=\"floods\">flood indicator</a>\n",
    "\n",
    "I try to use the 24h rainfall and the soil status to make a flood threshold indicator. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DxCbM1u2Ynj6"
   },
   "source": [
    " Sieve flood indicator\n",
    "df[\"flood_Si\"] = df[(df.Soil_status==\"wet\")& (df.Rainfall>=66)] #& (df.Rainfall<86) Dry_Si\n",
    "df[\"flood_Si\"] = df[(df.Wet_Si==1)& (df.Rainfall>=66)] \n",
    "df[\"flood_Si\"] = df[(df.Medium_Si==1)& (df.Rainfall>=86)]#& (df.Rainfall<123)\n",
    "df[\"flood_Si\"] = df[(df.Dry_Si==1)& (df.Rainfall>=123)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "id": "ladcc5IWYnj6",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "River_Arno[\"flood_Si\"] = np.where(  (River_Arno.Rainfall.rolling(5).sum()>=66*2/3)& (River_Arno.Rainfall.rolling(5).sum()<86*2/3) ,1,0)\n",
    "River_Arno[\"flood_Si\"] = np.where( (River_Arno.Rainfall.rolling(5).sum()>=86*2/3)& (River_Arno.Rainfall.rolling(5).sum()<123*2/3),1,0)\n",
    "River_Arno[\"flood_Si\"] = np.where( (River_Arno.Rainfall.rolling(5).sum()>=123*2/3),1,0)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "6eLoK_tjYnj6",
    "outputId": "53f1c473-0048-45b5-9864-652ea69720dd"
   },
   "source": [
    "River_Arno[\"2010\"].loc[\"Wet_Si\"].plot( figsize=(19, 2)); "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "VvA0JLH1Ynj6",
    "outputId": "b4416368-12db-40bc-86ab-be8ac8aded44"
   },
   "source": [
    "River_Arno.loc[\"2010\"][\"Medium_Si\"].plot( figsize=(19, 2)); "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "DgOvkZIlYnj7",
    "outputId": "0d4609a9-bd05-40f5-dfab-556b79e40596"
   },
   "source": [
    "River_Arno.loc[\"2010\"][\"Dry_Si\"].plot( figsize=(19, 2)); "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "psmtXVQ6Ynj7"
   },
   "source": [
    "#### Casentino flood indicator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "id": "j_EQFxIwYnj7"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"flood_Cas\"] = np.where((River_Arno.Rainfall_Bibbiena.rolling(5).sum()>=85*2)& (River_Arno.Rainfall_Bibbiena.rolling(5).sum()<120*2),1,0)#\n",
    "River_Arno[\"flood_Cas\"] = np.where((River_Arno.Rainfall_Bibbiena.rolling(5).sum()>=120*2)& (River_Arno.Rainfall_Bibbiena.rolling(5).sum()<187*2),1,0)#\n",
    "River_Arno[\"flood_Cas\"] = np.where((River_Arno.Rainfall_Bibbiena.rolling(5).sum()>=187*2),1,0)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "1SSSrvIOYnj7",
    "outputId": "7d51f4c9-1a6e-4ce3-810a-e6ef16b8fc2c"
   },
   "source": [
    "River_Arno.loc[\"2007\"][\"flood_Cas\"].plot( figsize=(19, 2));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "id": "jHwvnSntYnj7",
    "outputId": "32ed6c32-ec1f-44e5-c857-6b38a415c416"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_00a5b_row0_col0,#T_00a5b_row0_col1,#T_00a5b_row0_col2,#T_00a5b_row0_col3{\n",
       "            background-color:  #00441b;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_00a5b_row1_col0,#T_00a5b_row1_col1,#T_00a5b_row1_col2{\n",
       "            background-color:  #acdea6;\n",
       "            color:  #000000;\n",
       "        }#T_00a5b_row1_col3{\n",
       "            background-color:  #abdda5;\n",
       "            color:  #000000;\n",
       "        }#T_00a5b_row2_col0,#T_00a5b_row2_col1,#T_00a5b_row2_col2,#T_00a5b_row2_col3{\n",
       "            background-color:  #f7fcf5;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_00a5b_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=\"4\">Casentino</th>    </tr>    <tr>        <th class=\"index_name level1\" >Duration(h)</th>        <th class=\"col_heading level1 col0\" >3</th>        <th class=\"col_heading level1 col1\" >6</th>        <th class=\"col_heading level1 col2\" >12</th>        <th class=\"col_heading level1 col3\" >24</th>    </tr>    <tr>        <th class=\"index_name level0\" >Soil_status</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_00a5b_level0_row0\" class=\"row_heading level0 row0\" >AMC I</th>\n",
       "                        <td id=\"T_00a5b_row0_col0\" class=\"data row0 col0\" >138</td>\n",
       "                        <td id=\"T_00a5b_row0_col1\" class=\"data row0 col1\" >145</td>\n",
       "                        <td id=\"T_00a5b_row0_col2\" class=\"data row0 col2\" >157</td>\n",
       "                        <td id=\"T_00a5b_row0_col3\" class=\"data row0 col3\" >187</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00a5b_level0_row1\" class=\"row_heading level0 row1\" >AMC II</th>\n",
       "                        <td id=\"T_00a5b_row1_col0\" class=\"data row1 col0\" >79</td>\n",
       "                        <td id=\"T_00a5b_row1_col1\" class=\"data row1 col1\" >84</td>\n",
       "                        <td id=\"T_00a5b_row1_col2\" class=\"data row1 col2\" >94</td>\n",
       "                        <td id=\"T_00a5b_row1_col3\" class=\"data row1 col3\" >120</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00a5b_level0_row2\" class=\"row_heading level0 row2\" >AMC III</th>\n",
       "                        <td id=\"T_00a5b_row2_col0\" class=\"data row2 col0\" >49</td>\n",
       "                        <td id=\"T_00a5b_row2_col1\" class=\"data row2 col1\" >53</td>\n",
       "                        <td id=\"T_00a5b_row2_col2\" class=\"data row2 col2\" >62</td>\n",
       "                        <td id=\"T_00a5b_row2_col3\" class=\"data row2 col3\" >85</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1a2f296df10>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RainfallthreshCasentino.style.background_gradient(\"Greens\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7Jc3YCB7Ynj7"
   },
   "source": [
    "#### Upstream Florence flood indicator\n",
    "shorter moving average cos closer proximity to measure point of Nave di Rosano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "id": "LFStEH9rYnj8"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"flood_UFL\"] = np.where((River_Arno.Rainfall_X.rolling(2).sum()>=53 )& (River_Arno.Rainfall_X.rolling(2).sum()<75),1,0)# *2/3\n",
    "River_Arno[\"flood_UFL\"] = np.where((River_Arno.Rainfall_X.rolling(2).sum()>=75 )& (River_Arno.Rainfall_X.rolling(2).sum()<114),1,0)#\n",
    "River_Arno[\"flood_UFL\"] = np.where((River_Arno.Rainfall_X.rolling(2).sum()>=114 ),1,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "id": "aCk8eXkKYnj8",
    "outputId": "aea1215d-d5e3-4c5c-f4c0-fc3626a54a98"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_23270_row0_col0,#T_23270_row0_col1,#T_23270_row0_col2,#T_23270_row0_col3{\n",
       "            background-color:  #333399;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_23270_row1_col0{\n",
       "            background-color:  #ac956c;\n",
       "            color:  #000000;\n",
       "        }#T_23270_row1_col1{\n",
       "            background-color:  #b6a272;\n",
       "            color:  #000000;\n",
       "        }#T_23270_row1_col2{\n",
       "            background-color:  #b09a6e;\n",
       "            color:  #000000;\n",
       "        }#T_23270_row1_col3{\n",
       "            background-color:  #b8a473;\n",
       "            color:  #000000;\n",
       "        }#T_23270_row2_col0,#T_23270_row2_col1,#T_23270_row2_col2,#T_23270_row2_col3{\n",
       "            background-color:  #ffffff;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_23270_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=\"4\">Arno(upstream_Florence)</th>    </tr>    <tr>        <th class=\"index_name level1\" >Duration(h)</th>        <th class=\"col_heading level1 col0\" >3</th>        <th class=\"col_heading level1 col1\" >6</th>        <th class=\"col_heading level1 col2\" >12</th>        <th class=\"col_heading level1 col3\" >24</th>    </tr>    <tr>        <th class=\"index_name level0\" >Soil_status</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_23270_level0_row0\" class=\"row_heading level0 row0\" >AMC I</th>\n",
       "                        <td id=\"T_23270_row0_col0\" class=\"data row0 col0\" >96</td>\n",
       "                        <td id=\"T_23270_row0_col1\" class=\"data row0 col1\" >97</td>\n",
       "                        <td id=\"T_23270_row0_col2\" class=\"data row0 col2\" >102</td>\n",
       "                        <td id=\"T_23270_row0_col3\" class=\"data row0 col3\" >114</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_23270_level0_row1\" class=\"row_heading level0 row1\" >AMC II</th>\n",
       "                        <td id=\"T_23270_row1_col0\" class=\"data row1 col0\" >59</td>\n",
       "                        <td id=\"T_23270_row1_col1\" class=\"data row1 col1\" >61</td>\n",
       "                        <td id=\"T_23270_row1_col2\" class=\"data row1 col2\" >64</td>\n",
       "                        <td id=\"T_23270_row1_col3\" class=\"data row1 col3\" >75</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_23270_level0_row2\" class=\"row_heading level0 row2\" >AMC III</th>\n",
       "                        <td id=\"T_23270_row2_col0\" class=\"data row2 col0\" >40</td>\n",
       "                        <td id=\"T_23270_row2_col1\" class=\"data row2 col1\" >41</td>\n",
       "                        <td id=\"T_23270_row2_col2\" class=\"data row2 col2\" >44</td>\n",
       "                        <td id=\"T_23270_row2_col3\" class=\"data row2 col3\" >53</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1a2f48fe9a0>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RainfallthreshUpstream_Florence.style.background_gradient(\"terrain_r\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "57jK4mVhYnjl"
   },
   "source": [
    "#### Floods period 2005 - 2006"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "id": "FaK242WTYnjl",
    "outputId": "5da20b60-1b89-420a-b81e-f1aea07b6ebf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "flood_Si\n",
       "0     75.6\n",
       "1    215.8\n",
       "Name: Rainfall, dtype: float64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.groupby(\"flood_Si\").Rainfall.max()  # .resample('MS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "id": "tqXG6irbYnjm",
    "outputId": "1224cd18-a51c-4cff-c2fd-8363ab6ec042"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "flood_Cas\n",
       "0    215.8\n",
       "1     28.4\n",
       "Name: Rainfall, dtype: float64"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.groupby(\"flood_Cas\").Rainfall.max()  # .resample('MS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "id": "aufV3aQTYnjm",
    "outputId": "f6195d0e-14e2-436d-e7a9-cbac539807b4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "flood_UFL\n",
       "0    215.8\n",
       "1    199.6\n",
       "Name: Rainfall, dtype: float64"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.groupby(\"flood_UFL\").Rainfall.max()  # .resample('MS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "id": "24HWaRZmYnjm",
    "outputId": "83141e35-7c0c-43f5-d3af-165d079915db"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>flood_Cas</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-01</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-02</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-03</th>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-04</th>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-05</th>\n",
       "      <td>0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-06</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-07</th>\n",
       "      <td>0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-08</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-09</th>\n",
       "      <td>0</td>\n",
       "      <td>104.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-10</th>\n",
       "      <td>0</td>\n",
       "      <td>35.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-11</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-12</th>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-13</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-14</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-15</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-17</th>\n",
       "      <td>0</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-18</th>\n",
       "      <td>0</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-19</th>\n",
       "      <td>0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-20</th>\n",
       "      <td>0</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-21</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-22</th>\n",
       "      <td>0</td>\n",
       "      <td>8.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-23</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-24</th>\n",
       "      <td>0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-25</th>\n",
       "      <td>0</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-26</th>\n",
       "      <td>0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-27</th>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-28</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-29</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-30</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-31</th>\n",
       "      <td>0</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            flood_Cas  Rainfall_Bibbiena\n",
       "Date                                    \n",
       "2006-12-01          0                0.0\n",
       "2006-12-02          0                0.2\n",
       "2006-12-03          0                0.4\n",
       "2006-12-04          0                0.4\n",
       "2006-12-05          0               11.0\n",
       "2006-12-06          0                0.0\n",
       "2006-12-07          0               11.0\n",
       "2006-12-08          0                0.0\n",
       "2006-12-09          0              104.6\n",
       "2006-12-10          0               35.2\n",
       "2006-12-11          0                0.0\n",
       "2006-12-12          0                0.4\n",
       "2006-12-13          0                0.0\n",
       "2006-12-14          0                0.0\n",
       "2006-12-15          0                0.0\n",
       "2006-12-16          0                0.0\n",
       "2006-12-17          0               12.4\n",
       "2006-12-18          0                7.2\n",
       "2006-12-19          0                7.0\n",
       "2006-12-20          0                0.4\n",
       "2006-12-21          0                0.0\n",
       "2006-12-22          0                8.8\n",
       "2006-12-23          0                0.0\n",
       "2006-12-24          0                3.4\n",
       "2006-12-25          0                8.4\n",
       "2006-12-26          0               18.0\n",
       "2006-12-27          0                1.0\n",
       "2006-12-28          0                0.0\n",
       "2006-12-29          0                0.0\n",
       "2006-12-30          0                0.0\n",
       "2006-12-31          0                3.8"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"Dec 2006\"].loc[:,[\"flood_Cas\",\"Rainfall_Bibbiena\"] ] # .resample('MS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "id": "bpkC1VR2Ynjm",
    "outputId": "d32eda7a-c1fa-41cf-87b3-8f8c295e2c52"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>flood_Si</th>\n",
       "      <th>Rainfall</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-12-01</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-02</th>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-03</th>\n",
       "      <td>0</td>\n",
       "      <td>33.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-04</th>\n",
       "      <td>0</td>\n",
       "      <td>13.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-05</th>\n",
       "      <td>1</td>\n",
       "      <td>49.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-06</th>\n",
       "      <td>1</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-07</th>\n",
       "      <td>1</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-08</th>\n",
       "      <td>1</td>\n",
       "      <td>17.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-09</th>\n",
       "      <td>1</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-10</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-11</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-12</th>\n",
       "      <td>0</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-13</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-14</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-15</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-16</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-17</th>\n",
       "      <td>0</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-18</th>\n",
       "      <td>0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-19</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-20</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-21</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-22</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-23</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-24</th>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-25</th>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-26</th>\n",
       "      <td>0</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-27</th>\n",
       "      <td>0</td>\n",
       "      <td>10.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-28</th>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-29</th>\n",
       "      <td>0</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-30</th>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-31</th>\n",
       "      <td>0</td>\n",
       "      <td>27.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            flood_Si  Rainfall\n",
       "Date                          \n",
       "2005-12-01         1       0.0\n",
       "2005-12-02         0       0.8\n",
       "2005-12-03         0      33.2\n",
       "2005-12-04         0      13.4\n",
       "2005-12-05         1      49.6\n",
       "2005-12-06         1      12.2\n",
       "2005-12-07         1       2.2\n",
       "2005-12-08         1      17.8\n",
       "2005-12-09         1      21.6\n",
       "2005-12-10         0       0.0\n",
       "2005-12-11         0       0.2\n",
       "2005-12-12         0      14.8\n",
       "2005-12-13         0       0.2\n",
       "2005-12-14         0       0.2\n",
       "2005-12-15         0       0.0\n",
       "2005-12-16         0       0.0\n",
       "2005-12-17         0       8.2\n",
       "2005-12-18         0       1.8\n",
       "2005-12-19         0       0.0\n",
       "2005-12-20         0       0.0\n",
       "2005-12-21         0       0.0\n",
       "2005-12-22         0       0.2\n",
       "2005-12-23         0       0.2\n",
       "2005-12-24         0       0.8\n",
       "2005-12-25         0      26.6\n",
       "2005-12-26         0      12.2\n",
       "2005-12-27         0      10.6\n",
       "2005-12-28         0       0.2\n",
       "2005-12-29         0       7.2\n",
       "2005-12-30         0       1.4\n",
       "2005-12-31         0      27.2"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"Dec 2005\"].loc[:,[\"flood_Si\",\"Rainfall\"] ] # .resample('MS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LRTG8vf2Ynjw"
   },
   "source": [
    "#### ratio of Sieve vs Casentino floods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "id": "06euqMrAYnjw",
    "outputId": "2746b3a3-dd66-4df3-ac5c-ee88881ceef2"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 621
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,  figsize=(10, 4), sharey=True)  \n",
    "sns.histplot( River_Arno[\"flood_Cas\"],color=\"g\", ax =ax[0]); sns.histplot( River_Arno[\"flood_Si\"],color=\"sienna\", ax=ax[1]); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "id": "-PrTs6IiYnjw",
    "outputId": "07f782a8-7551-4e4d-e3dd-8cff1c66e9ae"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method Series.to_frame of Date\n",
       "2004-01-01    0\n",
       "2004-01-02    0\n",
       "2004-01-03    0\n",
       "2004-01-04    0\n",
       "2004-01-05    0\n",
       "             ..\n",
       "2007-07-02    0\n",
       "2007-07-03    0\n",
       "2007-07-04    0\n",
       "2007-07-05    0\n",
       "2007-07-06    0\n",
       "Name: flood_Cas, Length: 1282, dtype: int32>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arnoflood_Cas= River_Arno[\"flood_Cas\"].to_frame #\n",
    "River_Arnoflood_Cas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "id": "MnfbXJHXYnjm"
   },
   "outputs": [],
   "source": [
    "vloed=River_Arno.loc[River_Arno.flood_Cas==1 ] # .resample('MS'),\"Rainfall\".loc[\"2006\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "id": "sNH2FoGEYnjm",
    "outputId": "caff8e9c-784e-4352-d64e-f5dd3646eaaa"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>Rainfall_X</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>winteroverflow</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Wet</th>\n",
       "      <th>Wet_Cas</th>\n",
       "      <th>Medium_Cas</th>\n",
       "      <th>Dry_Cas</th>\n",
       "      <th>Wet_UFL</th>\n",
       "      <th>Medium_UFL</th>\n",
       "      <th>Dry_UFL</th>\n",
       "      <th>flood_Si</th>\n",
       "      <th>flood_Cas</th>\n",
       "      <th>flood_UFL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-11-27</th>\n",
       "      <td>10.4</td>\n",
       "      <td>7.8</td>\n",
       "      <td>13.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>12.4</td>\n",
       "      <td>9.2</td>\n",
       "      <td>32.2</td>\n",
       "      <td>50.4</td>\n",
       "      <td>21.4</td>\n",
       "      <td>26.2</td>\n",
       "      <td>33.8</td>\n",
       "      <td>33.4</td>\n",
       "      <td>189.6</td>\n",
       "      <td>97.2</td>\n",
       "      <td>7.05</td>\n",
       "      <td>5.66</td>\n",
       "      <td>1.01</td>\n",
       "      <td>5225.0</td>\n",
       "      <td>25.8</td>\n",
       "      <td>26.0</td>\n",
       "      <td>81.4</td>\n",
       "      <td>11</td>\n",
       "      <td>2005</td>\n",
       "      <td>47</td>\n",
       "      <td>26.0</td>\n",
       "      <td>-30.6</td>\n",
       "      <td>1</td>\n",
       "      <td>156.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-28</th>\n",
       "      <td>16.8</td>\n",
       "      <td>18.2</td>\n",
       "      <td>12.4</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>9.2</td>\n",
       "      <td>20.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>6.55</td>\n",
       "      <td>3.76</td>\n",
       "      <td>0.97</td>\n",
       "      <td>5293.4</td>\n",
       "      <td>48.0</td>\n",
       "      <td>21.6</td>\n",
       "      <td>32.8</td>\n",
       "      <td>11</td>\n",
       "      <td>2005</td>\n",
       "      <td>48</td>\n",
       "      <td>21.6</td>\n",
       "      <td>-8.4</td>\n",
       "      <td>1</td>\n",
       "      <td>175.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-29</th>\n",
       "      <td>16.4</td>\n",
       "      <td>15.8</td>\n",
       "      <td>14.2</td>\n",
       "      <td>23.6</td>\n",
       "      <td>14.2</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>4.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>12.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>6.70</td>\n",
       "      <td>3.05</td>\n",
       "      <td>0.98</td>\n",
       "      <td>5360.4</td>\n",
       "      <td>55.8</td>\n",
       "      <td>28.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11</td>\n",
       "      <td>2005</td>\n",
       "      <td>48</td>\n",
       "      <td>28.4</td>\n",
       "      <td>-0.6</td>\n",
       "      <td>1</td>\n",
       "      <td>199.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-30</th>\n",
       "      <td>6.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>16.6</td>\n",
       "      <td>40.2</td>\n",
       "      <td>11.2</td>\n",
       "      <td>7.4</td>\n",
       "      <td>20.6</td>\n",
       "      <td>21.8</td>\n",
       "      <td>56.0</td>\n",
       "      <td>24.6</td>\n",
       "      <td>6.55</td>\n",
       "      <td>3.82</td>\n",
       "      <td>0.97</td>\n",
       "      <td>5295.0</td>\n",
       "      <td>16.6</td>\n",
       "      <td>7.0</td>\n",
       "      <td>39.2</td>\n",
       "      <td>11</td>\n",
       "      <td>2005</td>\n",
       "      <td>48</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-39.8</td>\n",
       "      <td>1</td>\n",
       "      <td>158.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2005-11-27               10.4                 7.8              13.6   \n",
       "2005-11-28               16.8                18.2              12.4   \n",
       "2005-11-29               16.4                15.8              14.2   \n",
       "2005-11-30                6.6                 5.0               2.8   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_S_Piero  Rainfall_Vernio  \\\n",
       "Date                                                              \n",
       "2005-11-27               7.6              12.4              9.2   \n",
       "2005-11-28              13.0               9.2              7.2   \n",
       "2005-11-29              23.6              14.2             26.0   \n",
       "2005-11-30               5.0               4.2              4.4   \n",
       "\n",
       "            Rainfall_Stia  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                           \n",
       "2005-11-27           32.2              50.4             21.4   \n",
       "2005-11-28            6.2               5.0             14.0   \n",
       "2005-11-29            9.2               4.2              0.2   \n",
       "2005-11-30           16.6              40.2             11.2   \n",
       "\n",
       "            Rainfall_Montevarchi  Rainfall_S_Savino  Rainfall_Laterina  \\\n",
       "Date                                                                     \n",
       "2005-11-27                  26.2               33.8               33.4   \n",
       "2005-11-28                  10.0                8.8                9.2   \n",
       "2005-11-29                   7.8                0.0                3.4   \n",
       "2005-11-30                   7.4               20.6               21.8   \n",
       "\n",
       "            Rainfall_Bibbiena  Rainfall_Camaldoli  Temperature_Firenze  \\\n",
       "Date                                                                     \n",
       "2005-11-27              189.6                97.2                 7.05   \n",
       "2005-11-28               20.2                 1.8                 6.55   \n",
       "2005-11-29               12.2                 1.2                 6.70   \n",
       "2005-11-30               56.0                24.6                 6.55   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  Tetens  Rainf365  RainNO_3  RainNO_2  \\\n",
       "Date                                                                          \n",
       "2005-11-27                       5.66    1.01    5225.0      25.8      26.0   \n",
       "2005-11-28                       3.76    0.97    5293.4      48.0      21.6   \n",
       "2005-11-29                       3.05    0.98    5360.4      55.8      28.4   \n",
       "2005-11-30                       3.82    0.97    5295.0      16.6       7.0   \n",
       "\n",
       "            Rainfall_X  month  year  week  Rainfall  winteroverflow  Dormant  \\\n",
       "Date                                                                           \n",
       "2005-11-27        81.4     11  2005    47      26.0           -30.6        1   \n",
       "2005-11-28        32.8     11  2005    48      21.6            -8.4        1   \n",
       "2005-11-29         8.0     11  2005    48      28.4            -0.6        1   \n",
       "2005-11-30        39.2     11  2005    48       7.0           -39.8        1   \n",
       "\n",
       "            Rainfall_5  Wet  Wet_Cas  Medium_Cas  Dry_Cas  Wet_UFL  \\\n",
       "Date                                                                 \n",
       "2005-11-27       156.2  2.0        1           0        0        1   \n",
       "2005-11-28       175.0  2.0        1           0        0        1   \n",
       "2005-11-29       199.8  2.0        1           0        0        1   \n",
       "2005-11-30       158.6  2.0        1           0        0        1   \n",
       "\n",
       "            Medium_UFL  Dry_UFL  flood_Si  flood_Cas  flood_UFL  \n",
       "Date                                                             \n",
       "2005-11-27           0        0         1          1          1  \n",
       "2005-11-28           0        0         1          1          1  \n",
       "2005-11-29           0        0         1          1          0  \n",
       "2005-11-30           0        0         1          1          0  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vloed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "id": "KMS2VxM_Ynjn",
    "outputId": "a0e6eb8f-3015-43d2-9e63-5d2ccd7e3a1e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 380
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots( )\n",
    "#vloed.loc[\"2006\"].loc[:,[\"Hydrometry_Nave_di_Rosano\",\"flood_Cas\"]] \n",
    "sns.scatterplot(x=vloed.index,y=\"Hydrometry_Nave_di_Rosano\" ,data= vloed,ax=ax) #Hydrometry_Nave_di_Rosano\n",
    "sns.scatterplot(x=vloed.index,y=\"flood_Cas\" ,data= vloed,ax=ax) ; \n",
    "plt.xlim( pd.to_datetime(\"2005\"), pd.to_datetime(\"2006-12-31\")); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_bmqRJi9Ynj8"
   },
   "source": [
    "### Rainfall rolling sums\n",
    "I'm producing here some features that will get used in plots in order to tell some story, but nevertheless many won't be in the final training set.  \n",
    "A returning reason is the avoidance of nan's. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "id": "u3mpHN6FYnj8"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"RainNO_3_10\"]= River_Arno[\"RainNO_3\"].rolling(10).sum().fillna(method='bfill', limit=10)\n",
    "River_Arno[\"RainNO_3_2\"]= River_Arno[\"RainNO_3\"].rolling(2).sum().fillna(method='bfill', limit=2)\n",
    "River_Arno[\"RainNO_3_30\"]= River_Arno[\"RainNO_3\"].rolling(30).sum().fillna(method='bfill', limit=30)\n",
    "River_Arno[\"RainNO_3_3\"]= River_Arno[\"RainNO_3\"].rolling(3).sum().fillna(method='bfill', limit=3)\n",
    "#River_Arno[\"RainNO_3_50\"]= River_Arno[\"RainNO_3\"].rolling(50).sum().fillna(method='bfill')\n",
    "River_Arno[\"RainNO_3_20\"]= River_Arno[\"RainNO_3\"].rolling(20).sum().fillna(method='bfill', limit=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "id": "H--l5wNEYnj9"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"RainNO_2_10\"]= River_Arno[\"RainNO_2\"].rolling(10).sum().fillna(method='bfill', limit=10)\n",
    "River_Arno[\"RainNO_2_2\"]= River_Arno[\"RainNO_2\"].rolling(2).sum().fillna(method='bfill', limit=2)\n",
    "River_Arno[\"RainNO_2_30\"]= River_Arno[\"RainNO_2\"].rolling(30).sum().fillna(method='bfill', limit=3)\n",
    "River_Arno[\"RainNO_2_3\"]= River_Arno[\"RainNO_2\"].rolling(3).sum().fillna(method='bfill', limit=3)\n",
    "#River_Arno[\"RainNO_2_50\"]= River_Arno[\"RainNO_2\"].rolling(50).sum().fillna(method='bfill', limit=50)\n",
    "River_Arno[\"RainNO_2_20\"]= River_Arno[\"RainNO_2\"].rolling(20).sum().fillna(method='bfill', limit=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "id": "SVRisH7hYnj9"
   },
   "outputs": [],
   "source": [
    "River_Arno[\"Bibb_2\"]= River_Arno[\"Rainfall_Bibbiena\"].rolling(2).sum().fillna(method='bfill', limit=2)\n",
    "River_Arno[\"Bibb_3\"]= River_Arno[\"Rainfall_Bibbiena\"].rolling(3).sum().fillna(method='bfill', limit=3)\n",
    "#River_Arno[\"Bibb_30\"]= River_Arno[\"Rainfall_Bibbiena\"].rolling(30).sum()\n",
    "River_Arno[\"Bibb_4\"]= River_Arno[\"Rainfall_Bibbiena\"].rolling(4).sum().fillna(method='bfill', limit=4)\n",
    "#River_Arno[\"Bibb_50\"]= River_Arno[\"Rainfall_Bibbiena\"].rolling(50).sum()\n",
    "River_Arno[\"Bibb_20\"]= River_Arno[\"Rainfall_Bibbiena\"].rolling(20).sum().fillna(method='bfill', limit=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "id": "dOEV6S0aYnj9",
    "outputId": "b6fbd386-191e-4ee6-93c0-295870bbf84e"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1296x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 454,
       "width": 1067
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(3,1, figsize=(18, 6), sharex=True) #, squeeze=False  \n",
    "\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"Hydrometry_Nave_di_Rosano\"],data=River_Arno, ax=ax[0])\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"RainNO_2_2\"], data=River_Arno, ax=ax[1]) # ax=ax\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"RainNO_2_3\"], data=River_Arno, ax=ax[2]) # ax=ax \n",
    "#sns.lineplot(x=\"Date\", y= River_Arno[\"RainNO_2_3\"], data=River_Arno, ax=ax[3]) # ax=ax \n",
    "plt.xticks(rotation=90); plt.grid(b=True,) #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2018-01-01\" ),pd.to_datetime(\"2018-05-01\" ) ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "id": "8IJjEX4fYnj9",
    "outputId": "6a5f7eeb-d170-43b8-82ab-c71de4c6871f"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1368x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 389,
       "width": 1111
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(2,1,  figsize=(19, 6), sharex=True) #, squeeze=False  \n",
    "\n",
    "sns.lineplot(x=\"Date\", y= River_Arno[\"Temperature_Firenze\"],data=River_Arno, ax=ax[0])\n",
    "sns.lineplot(x=River_Arno.index, y= River_Arno[\"Hydrometry_Nave_di_Rosano\"], data=River_Arno, ax=ax[1]) # ax=ax\n",
    "\n",
    "plt.xticks(rotation=90); plt.grid('both',) #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2010-01-01\" ),pd.to_datetime(\"2017-12-01\" ) ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NzK1K0oSYnkA"
   },
   "source": [
    "On 2009-07-03 the run off from Bibbiena had a time lag of +- 3 days with river level at Rosano. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VP-lMY4KYnkA"
   },
   "source": [
    "### summer season"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rGSr2QPlYnkB"
   },
   "source": [
    "2019-07-27 \t169.17 \t0.06 (from 1.05 m)   0.8 m/s  \n",
    "2019-07-28 \t278.06 \t1.48  (1.1 m/s disch)  \n",
    "2019-07-29 \t-445.28 \t-0.58  \n",
    "2019-07-30 \t-1.94 \t-0.68  \n",
    "2019-07-31 \t0.00 \t-0.21  \n",
    "2019-08-01 \t0.00 \t-0.04   0.2 m/s  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "id": "Md61fnzyYnkC",
    "outputId": "fedf1529-f21b-43ec-aac0-33f3e17f77f5"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>...</th>\n",
       "      <th>Medium_UFL</th>\n",
       "      <th>Dry_UFL</th>\n",
       "      <th>flood_Si</th>\n",
       "      <th>flood_Cas</th>\n",
       "      <th>flood_UFL</th>\n",
       "      <th>RainNO_3_10</th>\n",
       "      <th>RainNO_3_2</th>\n",
       "      <th>RainNO_3_30</th>\n",
       "      <th>RainNO_3_3</th>\n",
       "      <th>RainNO_3_20</th>\n",
       "      <th>RainNO_2_10</th>\n",
       "      <th>RainNO_2_2</th>\n",
       "      <th>RainNO_2_30</th>\n",
       "      <th>RainNO_2_3</th>\n",
       "      <th>RainNO_2_20</th>\n",
       "      <th>Bibb_2</th>\n",
       "      <th>Bibb_3</th>\n",
       "      <th>Bibb_4</th>\n",
       "      <th>Bibb_20</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Rainfall_Le_Croci, Rainfall_Cavallina, Rainfall_S_Agata, Rainfall_Mangona, Rainfall_S_Piero, Rainfall_Vernio, Rainfall_Stia, Rainfall_Consuma, Rainfall_Incisa, Rainfall_Montevarchi, Rainfall_S_Savino, Rainfall_Laterina, Rainfall_Bibbiena, Rainfall_Camaldoli, Temperature_Firenze, Hydrometry_Nave_di_Rosano, Tetens, Rainf365, RainNO_3, RainNO_2, Rainfall_X, month, year, week, Rainfall, winteroverflow, Dormant, Rainfall_5, Wet, Wet_Cas, Medium_Cas, Dry_Cas, Wet_UFL, Medium_UFL, Dry_UFL, flood_Si, flood_Cas, flood_UFL, RainNO_3_10, RainNO_3_2, RainNO_3_30, RainNO_3_3, RainNO_3_20, RainNO_2_10, RainNO_2_2, RainNO_2_30, RainNO_2_3, RainNO_2_20, Bibb_2, Bibb_3, Bibb_4, Bibb_20]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 52 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"2008-12-08\":\"2008-12-11\"] # Arno flood"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XWqsUtwlJddZ"
   },
   "source": [
    " Florence flood dd. 6 feb 2018, with a peak 2 days after Rosano."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "id": "OEQWpy4DYnkD",
    "outputId": "c7ec857a-f3d6-4a72-f8a5-d931350e9f2e"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Vernio</th>\n",
       "      <th>Rainfall_Stia</th>\n",
       "      <th>Rainfall_Consuma</th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Rainfall_Montevarchi</th>\n",
       "      <th>Rainfall_S_Savino</th>\n",
       "      <th>Rainfall_Laterina</th>\n",
       "      <th>Rainfall_Bibbiena</th>\n",
       "      <th>Rainfall_Camaldoli</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>...</th>\n",
       "      <th>Medium_UFL</th>\n",
       "      <th>Dry_UFL</th>\n",
       "      <th>flood_Si</th>\n",
       "      <th>flood_Cas</th>\n",
       "      <th>flood_UFL</th>\n",
       "      <th>RainNO_3_10</th>\n",
       "      <th>RainNO_3_2</th>\n",
       "      <th>RainNO_3_30</th>\n",
       "      <th>RainNO_3_3</th>\n",
       "      <th>RainNO_3_20</th>\n",
       "      <th>RainNO_2_10</th>\n",
       "      <th>RainNO_2_2</th>\n",
       "      <th>RainNO_2_30</th>\n",
       "      <th>RainNO_2_3</th>\n",
       "      <th>RainNO_2_20</th>\n",
       "      <th>Bibb_2</th>\n",
       "      <th>Bibb_3</th>\n",
       "      <th>Bibb_4</th>\n",
       "      <th>Bibb_20</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "<p>0 rows × 52 columns</p>\n",
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      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Rainfall_Le_Croci, Rainfall_Cavallina, Rainfall_S_Agata, Rainfall_Mangona, Rainfall_S_Piero, Rainfall_Vernio, Rainfall_Stia, Rainfall_Consuma, Rainfall_Incisa, Rainfall_Montevarchi, Rainfall_S_Savino, Rainfall_Laterina, Rainfall_Bibbiena, Rainfall_Camaldoli, Temperature_Firenze, Hydrometry_Nave_di_Rosano, Tetens, Rainf365, RainNO_3, RainNO_2, Rainfall_X, month, year, week, Rainfall, winteroverflow, Dormant, Rainfall_5, Wet, Wet_Cas, Medium_Cas, Dry_Cas, Wet_UFL, Medium_UFL, Dry_UFL, flood_Si, flood_Cas, flood_UFL, RainNO_3_10, RainNO_3_2, RainNO_3_30, RainNO_3_3, RainNO_3_20, RainNO_2_10, RainNO_2_2, RainNO_2_30, RainNO_2_3, RainNO_2_20, Bibb_2, Bibb_3, Bibb_4, Bibb_20]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 52 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno.loc[\"2018-02-02\":\"2018-02-08\"] # Florence flood 6 feb 2018, with a peak 2 days after Rosano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "IBunwDhyYnkD",
    "outputId": "93763354-e004-42a1-dbe8-c1221a5e5127"
   },
   "outputs": [],
   "source": [
    "River_Arno.loc[\"2014\"][\"Hydrometry_Nave_di_Rosano\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 1282 entries, 2004-01-01 to 2007-07-06\n",
      "Data columns (total 52 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   Rainfall_Le_Croci          1282 non-null   float64\n",
      " 1   Rainfall_Cavallina         1282 non-null   float64\n",
      " 2   Rainfall_S_Agata           1282 non-null   float64\n",
      " 3   Rainfall_Mangona           1282 non-null   float64\n",
      " 4   Rainfall_S_Piero           1282 non-null   float64\n",
      " 5   Rainfall_Vernio            1282 non-null   float64\n",
      " 6   Rainfall_Stia              1282 non-null   float64\n",
      " 7   Rainfall_Consuma           1282 non-null   float64\n",
      " 8   Rainfall_Incisa            1282 non-null   float64\n",
      " 9   Rainfall_Montevarchi       1282 non-null   float64\n",
      " 10  Rainfall_S_Savino          1282 non-null   float64\n",
      " 11  Rainfall_Laterina          1282 non-null   float64\n",
      " 12  Rainfall_Bibbiena          1282 non-null   float64\n",
      " 13  Rainfall_Camaldoli         1282 non-null   float64\n",
      " 14  Temperature_Firenze        1282 non-null   float64\n",
      " 15  Hydrometry_Nave_di_Rosano  1282 non-null   float64\n",
      " 16  Tetens                     1282 non-null   float64\n",
      " 17  Rainf365                   1282 non-null   float64\n",
      " 18  RainNO_3                   1282 non-null   float64\n",
      " 19  RainNO_2                   1282 non-null   float64\n",
      " 20  Rainfall_X                 1282 non-null   float64\n",
      " 21  month                      1282 non-null   int64  \n",
      " 22  year                       1282 non-null   int64  \n",
      " 23  week                       1282 non-null   UInt32 \n",
      " 24  Rainfall                   1282 non-null   float64\n",
      " 25  winteroverflow             1282 non-null   float64\n",
      " 26  Dormant                    1282 non-null   int32  \n",
      " 27  Rainfall_5                 1282 non-null   float64\n",
      " 28  Wet                        1282 non-null   float64\n",
      " 29  Wet_Cas                    1282 non-null   int32  \n",
      " 30  Medium_Cas                 1282 non-null   int32  \n",
      " 31  Dry_Cas                    1282 non-null   int32  \n",
      " 32  Wet_UFL                    1282 non-null   int32  \n",
      " 33  Medium_UFL                 1282 non-null   int32  \n",
      " 34  Dry_UFL                    1282 non-null   int32  \n",
      " 35  flood_Si                   1282 non-null   int32  \n",
      " 36  flood_Cas                  1282 non-null   int32  \n",
      " 37  flood_UFL                  1282 non-null   int32  \n",
      " 38  RainNO_3_10                1282 non-null   float64\n",
      " 39  RainNO_3_2                 1282 non-null   float64\n",
      " 40  RainNO_3_30                1282 non-null   float64\n",
      " 41  RainNO_3_3                 1282 non-null   float64\n",
      " 42  RainNO_3_20                1282 non-null   float64\n",
      " 43  RainNO_2_10                1282 non-null   float64\n",
      " 44  RainNO_2_2                 1282 non-null   float64\n",
      " 45  RainNO_2_30                1256 non-null   float64\n",
      " 46  RainNO_2_3                 1282 non-null   float64\n",
      " 47  RainNO_2_20                1282 non-null   float64\n",
      " 48  Bibb_2                     1282 non-null   float64\n",
      " 49  Bibb_3                     1282 non-null   float64\n",
      " 50  Bibb_4                     1282 non-null   float64\n",
      " 51  Bibb_20                    1282 non-null   float64\n",
      "dtypes: UInt32(1), float64(39), int32(10), int64(2)\n",
      "memory usage: 509.3 KB\n"
     ]
    }
   ],
   "source": [
    "River_Arno.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "id": "lMe_TLBRYnkD",
    "outputId": "491e9b35-c7f3-4333-96c0-0db9f8e17f60"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.98"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River_Arno[\"Hydrometry_Nave_di_Rosano\"].min()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "ppMaTUoUYnkE",
    "outputId": "94345a49-be4e-4262-dd9e-06df6106ac91"
   },
   "source": [
    "River_Arno.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "dropping columns with feats not delivering enough added value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "id": "D17QvUPYYnkF"
   },
   "outputs": [],
   "source": [
    "River= River_Arno.drop(columns=[\"Rainfall_Vernio\",\"Rainfall_Stia\",\"Rainfall_Montevarchi\",\"Rainfall_S_Savino\", 'Rainfall','Rainfall_S_Piero', 'RainNO_3','RainNO_2', # ,\"Rainfall_Consuma\" \"Rainfall_Incisa\",\"Rainfall_Laterina\",\n",
    "    \"Rainfall_Camaldoli\",\"Rainfall_X\" ,'Medium_Cas','Dry_Cas','Medium_UFL'], axis=1)#\"Rainfall_X 'Hydro_Log' \"Rain_TOT\",\"Rain_TOT_Log\",\n",
    "#,\"Bibb_20\",\"Bibb_2\",\"Bibb_3\",\"Bibb_4\",'Medium_Si','Dry_Si',"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "id": "9KZbgiu-YnkF",
    "outputId": "fe624d43-a709-44ae-eb04-4d90ab9d412c"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
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       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>winteroverflow</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Wet</th>\n",
       "      <th>...</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>2005-10-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>18.45</td>\n",
       "      <td>1.51</td>\n",
       "      <td>2.12</td>\n",
       "      <td>4915.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2005</td>\n",
       "      <td>43</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00e+01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.23e+02</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>442.2</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>272.8</td>\n",
       "      <td>1.36e+02</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>283.6</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>169.0</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>1.40e+00</td>\n",
       "      <td>484.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-05-05</th>\n",
       "      <td>8.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>37.4</td>\n",
       "      <td>16.30</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.85</td>\n",
       "      <td>4282.4</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>18</td>\n",
       "      <td>-33.8</td>\n",
       "      <td>0</td>\n",
       "      <td>7.68e+01</td>\n",
       "      <td>2.00</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.71e+02</td>\n",
       "      <td>1.01e+02</td>\n",
       "      <td>171.4</td>\n",
       "      <td>1.15e+02</td>\n",
       "      <td>171.4</td>\n",
       "      <td>8.54e+01</td>\n",
       "      <td>5.72e+01</td>\n",
       "      <td>85.4</td>\n",
       "      <td>6.48e+01</td>\n",
       "      <td>85.4</td>\n",
       "      <td>8.22e+01</td>\n",
       "      <td>1.01e+02</td>\n",
       "      <td>1.07e+02</td>\n",
       "      <td>179.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-01-23</th>\n",
       "      <td>16.6</td>\n",
       "      <td>15.2</td>\n",
       "      <td>10.2</td>\n",
       "      <td>15.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.10</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.51</td>\n",
       "      <td>4034.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2007</td>\n",
       "      <td>4</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02e+01</td>\n",
       "      <td>0.01</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.74e+01</td>\n",
       "      <td>4.74e+01</td>\n",
       "      <td>196.8</td>\n",
       "      <td>4.80e+01</td>\n",
       "      <td>116.2</td>\n",
       "      <td>2.14e+01</td>\n",
       "      <td>1.98e+01</td>\n",
       "      <td>80.4</td>\n",
       "      <td>2.02e+01</td>\n",
       "      <td>51.8</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>1.00e+00</td>\n",
       "      <td>1.60e+00</td>\n",
       "      <td>47.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-03-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.15</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.51</td>\n",
       "      <td>4054.4</td>\n",
       "      <td>3</td>\n",
       "      <td>2007</td>\n",
       "      <td>11</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>166.8</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>41.0</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>75.4</td>\n",
       "      <td>-4.26e-14</td>\n",
       "      <td>11.2</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-07-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.15</td>\n",
       "      <td>1.02</td>\n",
       "      <td>4.04</td>\n",
       "      <td>5574.2</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "      <td>29</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>7.11e-15</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>36.8</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>18.4</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>18.4</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>-5.68e-14</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>69.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-01-15</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>6.50</td>\n",
       "      <td>1.29</td>\n",
       "      <td>0.97</td>\n",
       "      <td>4992.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2005</td>\n",
       "      <td>2</td>\n",
       "      <td>-56.2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.00e+00</td>\n",
       "      <td>1.00e+00</td>\n",
       "      <td>215.4</td>\n",
       "      <td>1.00e+00</td>\n",
       "      <td>160.4</td>\n",
       "      <td>2.20e+00</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>100.8</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>72.2</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>219.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-15</th>\n",
       "      <td>6.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.8</td>\n",
       "      <td>8.80</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.13</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2004</td>\n",
       "      <td>3</td>\n",
       "      <td>-28.6</td>\n",
       "      <td>1</td>\n",
       "      <td>2.12e+01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.10e+01</td>\n",
       "      <td>2.80e+01</td>\n",
       "      <td>359.6</td>\n",
       "      <td>3.24e+01</td>\n",
       "      <td>277.0</td>\n",
       "      <td>2.96e+01</td>\n",
       "      <td>1.70e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.82e+01</td>\n",
       "      <td>131.6</td>\n",
       "      <td>3.42e+01</td>\n",
       "      <td>4.30e+01</td>\n",
       "      <td>4.62e+01</td>\n",
       "      <td>226.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-03-08</th>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.6</td>\n",
       "      <td>5.05</td>\n",
       "      <td>2.56</td>\n",
       "      <td>0.88</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "      <td>11</td>\n",
       "      <td>-54.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.36e+01</td>\n",
       "      <td>2.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.50e+02</td>\n",
       "      <td>2.78e+01</td>\n",
       "      <td>553.6</td>\n",
       "      <td>7.86e+01</td>\n",
       "      <td>549.8</td>\n",
       "      <td>6.28e+01</td>\n",
       "      <td>1.30e+01</td>\n",
       "      <td>260.8</td>\n",
       "      <td>3.36e+01</td>\n",
       "      <td>257.4</td>\n",
       "      <td>2.96e+01</td>\n",
       "      <td>2.96e+01</td>\n",
       "      <td>3.66e+01</td>\n",
       "      <td>366.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-03-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>10.2</td>\n",
       "      <td>8.25</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.09</td>\n",
       "      <td>5915.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>1</td>\n",
       "      <td>5.60e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.90e+01</td>\n",
       "      <td>8.40e+00</td>\n",
       "      <td>460.6</td>\n",
       "      <td>8.40e+00</td>\n",
       "      <td>257.4</td>\n",
       "      <td>4.76e+01</td>\n",
       "      <td>5.60e+00</td>\n",
       "      <td>252.2</td>\n",
       "      <td>5.60e+00</td>\n",
       "      <td>142.4</td>\n",
       "      <td>2.06e+01</td>\n",
       "      <td>3.70e+01</td>\n",
       "      <td>4.56e+01</td>\n",
       "      <td>321.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-05-02</th>\n",
       "      <td>23.4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>5.8</td>\n",
       "      <td>17.60</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.01</td>\n",
       "      <td>4102.4</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>18</td>\n",
       "      <td>-13.2</td>\n",
       "      <td>0</td>\n",
       "      <td>2.06e+01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5.62e+01</td>\n",
       "      <td>4.50e+01</td>\n",
       "      <td>68.0</td>\n",
       "      <td>5.62e+01</td>\n",
       "      <td>56.2</td>\n",
       "      <td>2.06e+01</td>\n",
       "      <td>1.20e+01</td>\n",
       "      <td>22.4</td>\n",
       "      <td>2.06e+01</td>\n",
       "      <td>20.6</td>\n",
       "      <td>6.88e+01</td>\n",
       "      <td>6.88e+01</td>\n",
       "      <td>6.88e+01</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-03-22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>14.35</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.64</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>3</td>\n",
       "      <td>2004</td>\n",
       "      <td>13</td>\n",
       "      <td>-55.8</td>\n",
       "      <td>1</td>\n",
       "      <td>3.60e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.00e+00</td>\n",
       "      <td>5.80e+00</td>\n",
       "      <td>427.4</td>\n",
       "      <td>7.00e+00</td>\n",
       "      <td>125.4</td>\n",
       "      <td>3.60e+00</td>\n",
       "      <td>2.40e+00</td>\n",
       "      <td>185.2</td>\n",
       "      <td>3.60e+00</td>\n",
       "      <td>54.6</td>\n",
       "      <td>6.00e+00</td>\n",
       "      <td>6.20e+00</td>\n",
       "      <td>6.20e+00</td>\n",
       "      <td>118.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-06-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.35</td>\n",
       "      <td>1.12</td>\n",
       "      <td>3.05</td>\n",
       "      <td>4007.6</td>\n",
       "      <td>6</td>\n",
       "      <td>2005</td>\n",
       "      <td>22</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>115.6</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>96.8</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>68.6</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>54.0</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>159.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-02-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.20</td>\n",
       "      <td>1.36</td>\n",
       "      <td>0.88</td>\n",
       "      <td>4739.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2005</td>\n",
       "      <td>5</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>4.26e-14</td>\n",
       "      <td>128.0</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>126.2</td>\n",
       "      <td>8.00e-01</td>\n",
       "      <td>-7.11e-15</td>\n",
       "      <td>80.6</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>78.8</td>\n",
       "      <td>1.42e+01</td>\n",
       "      <td>2.28e+01</td>\n",
       "      <td>2.36e+01</td>\n",
       "      <td>113.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-12-10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>18.6</td>\n",
       "      <td>7.90</td>\n",
       "      <td>3.36</td>\n",
       "      <td>1.07</td>\n",
       "      <td>5231.4</td>\n",
       "      <td>12</td>\n",
       "      <td>2005</td>\n",
       "      <td>49</td>\n",
       "      <td>-56.4</td>\n",
       "      <td>1</td>\n",
       "      <td>5.38e+01</td>\n",
       "      <td>2.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.29e+02</td>\n",
       "      <td>2.20e+01</td>\n",
       "      <td>664.8</td>\n",
       "      <td>5.30e+01</td>\n",
       "      <td>625.0</td>\n",
       "      <td>1.51e+02</td>\n",
       "      <td>2.16e+01</td>\n",
       "      <td>389.4</td>\n",
       "      <td>3.94e+01</td>\n",
       "      <td>364.4</td>\n",
       "      <td>3.62e+01</td>\n",
       "      <td>4.40e+01</td>\n",
       "      <td>6.62e+01</td>\n",
       "      <td>794.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-10-19</th>\n",
       "      <td>43.4</td>\n",
       "      <td>36.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>42.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.30</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.53</td>\n",
       "      <td>4767.2</td>\n",
       "      <td>10</td>\n",
       "      <td>2005</td>\n",
       "      <td>42</td>\n",
       "      <td>65.4</td>\n",
       "      <td>0</td>\n",
       "      <td>1.84e+02</td>\n",
       "      <td>2.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.22e+02</td>\n",
       "      <td>1.22e+02</td>\n",
       "      <td>341.4</td>\n",
       "      <td>1.22e+02</td>\n",
       "      <td>339.6</td>\n",
       "      <td>6.22e+01</td>\n",
       "      <td>6.12e+01</td>\n",
       "      <td>209.6</td>\n",
       "      <td>6.14e+01</td>\n",
       "      <td>208.0</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>-5.68e-14</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>380.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Le_Croci  Rainfall_Cavallina  Rainfall_S_Agata  \\\n",
       "Date                                                                  \n",
       "2005-10-26                0.0                 0.0               0.0   \n",
       "2007-05-05                8.4                 7.0               6.2   \n",
       "2007-01-23               16.6                15.2              10.2   \n",
       "2007-03-17                0.0                 0.0               0.0   \n",
       "2006-07-20                0.0                 0.0               0.0   \n",
       "2005-01-15                0.2                 0.0               0.2   \n",
       "2004-01-15                6.0                 8.8              10.0   \n",
       "2004-03-08                0.4                 0.2               0.6   \n",
       "2006-03-17                0.0                 0.0               0.2   \n",
       "2007-05-02               23.4                10.0               6.0   \n",
       "2004-03-22                0.0                 0.0               0.0   \n",
       "2005-06-02                0.0                 0.0               0.0   \n",
       "2005-02-03                0.0                 0.0               0.0   \n",
       "2005-12-10                0.0                 0.0               0.0   \n",
       "2005-10-19               43.4                36.0              29.0   \n",
       "\n",
       "            Rainfall_Mangona  Rainfall_Consuma  Rainfall_Incisa  \\\n",
       "Date                                                              \n",
       "2005-10-26               0.0               0.0              0.2   \n",
       "2007-05-05               7.2              15.0             11.0   \n",
       "2007-01-23              15.6               0.0              0.0   \n",
       "2007-03-17               0.0               0.0              0.0   \n",
       "2006-07-20               0.0               0.0              0.0   \n",
       "2005-01-15               0.0               0.0              0.0   \n",
       "2004-01-15              13.0               3.2              1.8   \n",
       "2004-03-08               1.8               5.0              0.2   \n",
       "2006-03-17               0.0               4.8              0.8   \n",
       "2007-05-02               9.8               1.8              0.8   \n",
       "2004-03-22               0.6               4.0              0.4   \n",
       "2005-06-02               0.0               0.0              0.0   \n",
       "2005-02-03               0.0               0.0              0.0   \n",
       "2005-12-10               0.0               7.4              2.0   \n",
       "2005-10-19              42.4               0.0              0.8   \n",
       "\n",
       "            Rainfall_Laterina  Rainfall_Bibbiena  Temperature_Firenze  \\\n",
       "Date                                                                    \n",
       "2005-10-26                0.0                0.4                18.45   \n",
       "2007-05-05                5.2               37.4                16.30   \n",
       "2007-01-23                0.0                0.0                13.10   \n",
       "2007-03-17                0.0                0.0                13.15   \n",
       "2006-07-20                0.0                0.0                29.15   \n",
       "2005-01-15                0.2                0.2                 6.50   \n",
       "2004-01-15                4.0               20.8                 8.80   \n",
       "2004-03-08                2.8                6.6                 5.05   \n",
       "2006-03-17                2.8               10.2                 8.25   \n",
       "2007-05-02                0.8                5.8                17.60   \n",
       "2004-03-22                0.0                5.6                14.35   \n",
       "2005-06-02                0.0                0.0                24.35   \n",
       "2005-02-03                0.0                3.4                 5.20   \n",
       "2005-12-10                6.0               18.6                 7.90   \n",
       "2005-10-19                0.2                0.0                13.30   \n",
       "\n",
       "            Hydrometry_Nave_di_Rosano  Tetens  Rainf365  month  year  week  \\\n",
       "Date                                                                         \n",
       "2005-10-26                       1.51    2.12    4915.0     10  2005    43   \n",
       "2007-05-05                       1.47    1.85    4282.4      5  2007    18   \n",
       "2007-01-23                       1.47    1.51    4034.0      1  2007     4   \n",
       "2007-03-17                       1.44    1.51    4054.4      3  2007    11   \n",
       "2006-07-20                       1.02    4.04    5574.2      7  2006    29   \n",
       "2005-01-15                       1.29    0.97    4992.4      1  2005     2   \n",
       "2004-01-15                       1.53    1.13    5108.4      1  2004     3   \n",
       "2004-03-08                       2.56    0.88    5108.4      3  2004    11   \n",
       "2006-03-17                       1.68    1.09    5915.0      3  2006    11   \n",
       "2007-05-02                       1.35    2.01    4102.4      5  2007    18   \n",
       "2004-03-22                       1.74    1.64    5108.4      3  2004    13   \n",
       "2005-06-02                       1.12    3.05    4007.6      6  2005    22   \n",
       "2005-02-03                       1.36    0.88    4739.0      2  2005     5   \n",
       "2005-12-10                       3.36    1.07    5231.4     12  2005    49   \n",
       "2005-10-19                       1.08    1.53    4767.2     10  2005    42   \n",
       "\n",
       "            winteroverflow  Dormant  Rainfall_5   Wet  ...  Wet_UFL  Dry_UFL  \\\n",
       "Date                                                   ...                     \n",
       "2005-10-26           -56.4        0    1.00e+01  0.01  ...        0        0   \n",
       "2007-05-05           -33.8        0    7.68e+01  2.00  ...        0        0   \n",
       "2007-01-23            -9.0        1    2.02e+01  0.01  ...        0        1   \n",
       "2007-03-17           -56.4        1    2.84e-14  0.01  ...        0        1   \n",
       "2006-07-20           -56.4        0    7.11e-15  0.01  ...        0        0   \n",
       "2005-01-15           -56.2        1    1.20e+00  0.01  ...        0        1   \n",
       "2004-01-15           -28.6        1    2.12e+01  0.01  ...        0        0   \n",
       "2004-03-08           -54.0        1    3.36e+01  2.00  ...        1        0   \n",
       "2006-03-17           -56.4        1    5.60e+00  0.01  ...        1        0   \n",
       "2007-05-02           -13.2        0    2.06e+01  0.01  ...        0        0   \n",
       "2004-03-22           -55.8        1    3.60e+00  0.01  ...        0        1   \n",
       "2005-06-02           -56.4        0    0.00e+00  0.01  ...        0        0   \n",
       "2005-02-03           -56.4        1    0.00e+00  0.01  ...        0        1   \n",
       "2005-12-10           -56.4        1    5.38e+01  2.00  ...        1        0   \n",
       "2005-10-19            65.4        0    1.84e+02  2.00  ...        0        0   \n",
       "\n",
       "            flood_Si  flood_Cas  flood_UFL  RainNO_3_10  RainNO_3_2  \\\n",
       "Date                                                                  \n",
       "2005-10-26         0          0          0     2.23e+02    4.00e-01   \n",
       "2007-05-05         0          0          0     1.71e+02    1.01e+02   \n",
       "2007-01-23         0          0          0     5.74e+01    4.74e+01   \n",
       "2007-03-17         0          0          0     2.84e-14    5.68e-14   \n",
       "2006-07-20         0          0          0     1.42e-14    5.68e-14   \n",
       "2005-01-15         0          0          0     2.00e+00    1.00e+00   \n",
       "2004-01-15         0          0          0     6.10e+01    2.80e+01   \n",
       "2004-03-08         0          0          0     1.50e+02    2.78e+01   \n",
       "2006-03-17         0          0          0     7.90e+01    8.40e+00   \n",
       "2007-05-02         0          0          0     5.62e+01    4.50e+01   \n",
       "2004-03-22         0          0          0     7.00e+00    5.80e+00   \n",
       "2005-06-02         0          0          0     0.00e+00    5.68e-14   \n",
       "2005-02-03         0          0          0    -1.42e-14    4.26e-14   \n",
       "2005-12-10         0          0          0     2.29e+02    2.20e+01   \n",
       "2005-10-19         1          0          0     1.22e+02    1.22e+02   \n",
       "\n",
       "            RainNO_3_30  RainNO_3_3  RainNO_3_20  RainNO_2_10  RainNO_2_2  \\\n",
       "Date                                                                        \n",
       "2005-10-26        442.2    4.00e-01        272.8     1.36e+02    2.00e-01   \n",
       "2007-05-05        171.4    1.15e+02        171.4     8.54e+01    5.72e+01   \n",
       "2007-01-23        196.8    4.80e+01        116.2     2.14e+01    1.98e+01   \n",
       "2007-03-17        166.8    2.84e-14         41.0     2.00e-01    0.00e+00   \n",
       "2006-07-20         37.0    2.84e-14         36.8    -1.42e-14    0.00e+00   \n",
       "2005-01-15        215.4    1.00e+00        160.4     2.20e+00    1.20e+00   \n",
       "2004-01-15        359.6    3.24e+01        277.0     2.96e+01    1.70e+01   \n",
       "2004-03-08        553.6    7.86e+01        549.8     6.28e+01    1.30e+01   \n",
       "2006-03-17        460.6    8.40e+00        257.4     4.76e+01    5.60e+00   \n",
       "2007-05-02         68.0    5.62e+01         56.2     2.06e+01    1.20e+01   \n",
       "2004-03-22        427.4    7.00e+00        125.4     3.60e+00    2.40e+00   \n",
       "2005-06-02        115.6    2.84e-14         96.8    -1.42e-14    0.00e+00   \n",
       "2005-02-03        128.0    1.42e-14        126.2     8.00e-01   -7.11e-15   \n",
       "2005-12-10        664.8    5.30e+01        625.0     1.51e+02    2.16e+01   \n",
       "2005-10-19        341.4    1.22e+02        339.6     6.22e+01    6.12e+01   \n",
       "\n",
       "            RainNO_2_30  RainNO_2_3  RainNO_2_20    Bibb_2    Bibb_3  \\\n",
       "Date                                                                   \n",
       "2005-10-26        283.6    2.00e-01        169.0  1.20e+00  1.20e+00   \n",
       "2007-05-05         85.4    6.48e+01         85.4  8.22e+01  1.01e+02   \n",
       "2007-01-23         80.4    2.02e+01         51.8  2.00e-01  1.00e+00   \n",
       "2007-03-17         75.4   -4.26e-14         11.2  0.00e+00 -2.84e-14   \n",
       "2006-07-20         18.4   -2.84e-14         18.4 -2.84e-14 -5.68e-14   \n",
       "2005-01-15        100.8    1.20e+00         72.2  4.00e-01  4.00e-01   \n",
       "2004-01-15          NaN    1.82e+01        131.6  3.42e+01  4.30e+01   \n",
       "2004-03-08        260.8    3.36e+01        257.4  2.96e+01  2.96e+01   \n",
       "2006-03-17        252.2    5.60e+00        142.4  2.06e+01  3.70e+01   \n",
       "2007-05-02         22.4    2.06e+01         20.6  6.88e+01  6.88e+01   \n",
       "2004-03-22        185.2    3.60e+00         54.6  6.00e+00  6.20e+00   \n",
       "2005-06-02         68.6   -1.42e-14         54.0 -2.84e-14 -2.84e-14   \n",
       "2005-02-03         80.6   -1.42e-14         78.8  1.42e+01  2.28e+01   \n",
       "2005-12-10        389.4    3.94e+01        364.4  3.62e+01  4.40e+01   \n",
       "2005-10-19        209.6    6.14e+01        208.0 -2.84e-14 -5.68e-14   \n",
       "\n",
       "              Bibb_4  Bibb_20  \n",
       "Date                           \n",
       "2005-10-26  1.40e+00    484.4  \n",
       "2007-05-05  1.07e+02    179.4  \n",
       "2007-01-23  1.60e+00     47.4  \n",
       "2007-03-17  1.42e-14     57.0  \n",
       "2006-07-20  0.00e+00     69.8  \n",
       "2005-01-15  4.00e-01    219.8  \n",
       "2004-01-15  4.62e+01    226.2  \n",
       "2004-03-08  3.66e+01    366.4  \n",
       "2006-03-17  4.56e+01    321.6  \n",
       "2007-05-02  6.88e+01     78.0  \n",
       "2004-03-22  6.20e+00    118.0  \n",
       "2005-06-02 -1.42e-14    159.6  \n",
       "2005-02-03  2.36e+01    113.6  \n",
       "2005-12-10  6.62e+01    794.0  \n",
       "2005-10-19  2.00e-01    380.6  \n",
       "\n",
       "[15 rows x 39 columns]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River.sample(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "V02takcMYnkF"
   },
   "source": [
    "River= River_Arno.drop(columns=[\"Rainfall_Stia\",\"Rainfall_Consuma\",\"Rainfall_Montevarchi\",\"Rainfall_S_Savino\",\n",
    "     \"Rainfall_Laterina\",\"Rainfall_Camaldoli\"], axis=1)#\"Rainfall_X 'Hydro_Log'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MwJvLAveYnkF",
    "outputId": "187a1883-4353-4367-b7de-6426b0ca23d1"
   },
   "source": [
    "River.loc[ River.Hydrometry_Nave_di_Rosano==3.51]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "r18SATEEYnkG",
    "outputId": "8dc4f24e-c6b7-4a81-91dd-8416fdc79903"
   },
   "outputs": [],
   "source": [
    "River.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "I3jkEbBdOf8p"
   },
   "outputs": [],
   "source": [
    "#\"Rainfall_Incisa\",\"Laterina_2\"  ,\"Consuma_2\" ,  \"Bibb_2\" ,\"Bibb_3\" ,\"Bibb_4\" ,\"Bibb_20\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "NjAJBtmfVeeB",
    "outputId": "bab10197-ba80-4b4d-e018-062bfc7de576"
   },
   "outputs": [],
   "source": [
    "River.sample(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XsinUUwvYnkG"
   },
   "source": [
    "Column Rainfall_Bibbiena has to be dropped, if not there'll be only 1200 rows left  over."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "id": "EB3sjDp-YnkG",
    "outputId": "59744805-98c9-49fb-9c0b-8f7a51fc5c58"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Rainfall_Incisa', 'Temperature_Firenze', 'Hydrometry_Nave_di_Rosano',\n",
       "       'Tetens', 'Rainf365', 'month', 'year', 'week', 'Rainfall_5', 'Wet',\n",
       "       'RainNO_3_10', 'RainNO_3_2', 'RainNO_3_30', 'RainNO_3_3', 'RainNO_3_20',\n",
       "       'RainNO_2_10', 'RainNO_2_2', 'RainNO_2_30', 'RainNO_2_3',\n",
       "       'RainNO_2_20'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "River2= River.drop([ 'Rainfall_Le_Croci','Rainfall_Cavallina', 'Rainfall_S_Agata','Rainfall_Mangona',\"Rainfall_Consuma\",\"Rainfall_Laterina\",\n",
    "                    \"Rainfall_Bibbiena\",\"Bibb_2\" ,\"Bibb_3\" ,\"Bibb_4\" ,\"Bibb_20\",'winteroverflow','Dormant','Wet_Cas', 'Wet_UFL','Dry_UFL','flood_Si',\n",
    "                    'flood_Cas','flood_UFL'], axis=1) # 'flood_Si',\n",
    "River2.columns #\"Q_Bibb\", \"Q_Inci\"  ,\"Rainfall_Incisa\",,\"Laterina_2\"  ,\"Consuma_2\" "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KadFn2bcYnkH",
    "outputId": "193c8161-b2a7-4416-c9c4-93046c611566"
   },
   "source": [
    "River.loc[River.Hydrometry_Nave_di_Rosano ==0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kz9OlmKvYnkH"
   },
   "source": [
    "### Prediction water level river Arno\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "id": "BLE4OUn3YnkH"
   },
   "outputs": [],
   "source": [
    "ll= River2.dropna(inplace=False)  # ll is 5 rainfall summed, + approx + logars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pyCMIyDYYnkH"
   },
   "source": [
    "ll[\"month\"]= ll.index.month\n",
    "ll[\"year\"]= ll.index.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "id": "OyCr2fubYnkH",
    "outputId": "804e4bed-b0ce-459a-b49f-f03ba0c439a1"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Hydrometry_Nave_di_Rosano</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Wet</th>\n",
       "      <th>RainNO_3_10</th>\n",
       "      <th>RainNO_3_2</th>\n",
       "      <th>RainNO_3_30</th>\n",
       "      <th>RainNO_3_3</th>\n",
       "      <th>RainNO_3_20</th>\n",
       "      <th>RainNO_2_10</th>\n",
       "      <th>RainNO_2_2</th>\n",
       "      <th>RainNO_2_30</th>\n",
       "      <th>RainNO_2_3</th>\n",
       "      <th>RainNO_2_20</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-09-29</th>\n",
       "      <td>0.2</td>\n",
       "      <td>17.50</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2.00</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>9</td>\n",
       "      <td>2004</td>\n",
       "      <td>40</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.24e+01</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>184.2</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>184.2</td>\n",
       "      <td>44.6</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>115.2</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>115.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-02-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.80</td>\n",
       "      <td>1.40</td>\n",
       "      <td>0.99</td>\n",
       "      <td>4105.2</td>\n",
       "      <td>2</td>\n",
       "      <td>2007</td>\n",
       "      <td>6</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>6.00e-01</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>207.6</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>148.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>89.6</td>\n",
       "      <td>-4.26e-14</td>\n",
       "      <td>59.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-02-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.39</td>\n",
       "      <td>0.90</td>\n",
       "      <td>4739.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2005</td>\n",
       "      <td>5</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>4.26e-14</td>\n",
       "      <td>128.0</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>126.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>-7.11e-15</td>\n",
       "      <td>80.6</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>78.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-06-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>19.25</td>\n",
       "      <td>1.15</td>\n",
       "      <td>2.23</td>\n",
       "      <td>5764.0</td>\n",
       "      <td>6</td>\n",
       "      <td>2006</td>\n",
       "      <td>23</td>\n",
       "      <td>3.34e+01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>8.38e+01</td>\n",
       "      <td>4.80e+00</td>\n",
       "      <td>283.4</td>\n",
       "      <td>6.00e+00</td>\n",
       "      <td>120.2</td>\n",
       "      <td>72.2</td>\n",
       "      <td>3.80e+00</td>\n",
       "      <td>197.2</td>\n",
       "      <td>4.60e+00</td>\n",
       "      <td>97.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-05-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>20.05</td>\n",
       "      <td>1.18</td>\n",
       "      <td>2.35</td>\n",
       "      <td>4025.8</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>20</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>0.01</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>173.2</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>162.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>90.2</td>\n",
       "      <td>-4.26e-14</td>\n",
       "      <td>81.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-08-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>26.20</td>\n",
       "      <td>1.03</td>\n",
       "      <td>3.40</td>\n",
       "      <td>4300.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2005</td>\n",
       "      <td>33</td>\n",
       "      <td>7.96e+01</td>\n",
       "      <td>2.00</td>\n",
       "      <td>7.44e+01</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>133.4</td>\n",
       "      <td>2.84e-14</td>\n",
       "      <td>132.8</td>\n",
       "      <td>65.6</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>113.8</td>\n",
       "      <td>-1.42e-14</td>\n",
       "      <td>102.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>24.20</td>\n",
       "      <td>1.09</td>\n",
       "      <td>3.02</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>8</td>\n",
       "      <td>2004</td>\n",
       "      <td>36</td>\n",
       "      <td>4.00e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.00e+00</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>81.2</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>9.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>34.4</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>7.05</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.01</td>\n",
       "      <td>4442.4</td>\n",
       "      <td>12</td>\n",
       "      <td>2006</td>\n",
       "      <td>51</td>\n",
       "      <td>5.00e+00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>7.80e+00</td>\n",
       "      <td>5.68e-14</td>\n",
       "      <td>258.2</td>\n",
       "      <td>3.80e+00</td>\n",
       "      <td>251.6</td>\n",
       "      <td>7.8</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>150.2</td>\n",
       "      <td>4.20e+00</td>\n",
       "      <td>146.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Incisa  Temperature_Firenze  Hydrometry_Nave_di_Rosano  \\\n",
       "Date                                                                          \n",
       "2004-09-29              0.2                17.50                       1.06   \n",
       "2007-02-05              0.0                 6.80                       1.40   \n",
       "2005-02-04              0.0                 5.40                       1.39   \n",
       "2006-06-05              0.0                19.25                       1.15   \n",
       "2007-05-20              0.0                20.05                       1.18   \n",
       "2005-08-19              0.0                26.20                       1.03   \n",
       "2004-08-30              0.0                24.20                       1.09   \n",
       "2006-12-23              0.0                 7.05                       1.26   \n",
       "\n",
       "            Tetens  Rainf365  month  year  week  Rainfall_5   Wet  \\\n",
       "Date                                                                \n",
       "2004-09-29    2.00    5108.4      9  2004    40    4.00e-01  0.01   \n",
       "2007-02-05    0.99    4105.2      2  2007     6    2.00e-01  0.01   \n",
       "2005-02-04    0.90    4739.0      2  2005     5    0.00e+00  0.01   \n",
       "2006-06-05    2.23    5764.0      6  2006    23    3.34e+01  0.01   \n",
       "2007-05-20    2.35    4025.8      5  2007    20    2.84e-14  0.01   \n",
       "2005-08-19    3.40    4300.4      8  2005    33    7.96e+01  2.00   \n",
       "2004-08-30    3.02    5108.4      8  2004    36    4.00e+00  0.01   \n",
       "2006-12-23    1.01    4442.4     12  2006    51    5.00e+00  0.01   \n",
       "\n",
       "            RainNO_3_10  RainNO_3_2  RainNO_3_30  RainNO_3_3  RainNO_3_20  \\\n",
       "Date                                                                        \n",
       "2004-09-29     7.24e+01    1.42e-14        184.2    0.00e+00        184.2   \n",
       "2007-02-05     6.00e-01    5.68e-14        207.6    2.84e-14        148.4   \n",
       "2005-02-04    -1.42e-14    4.26e-14        128.0    1.42e-14        126.0   \n",
       "2006-06-05     8.38e+01    4.80e+00        283.4    6.00e+00        120.2   \n",
       "2007-05-20     2.84e-14    5.68e-14        173.2    2.84e-14        162.0   \n",
       "2005-08-19     7.44e+01    5.68e-14        133.4    2.84e-14        132.8   \n",
       "2004-08-30     7.00e+00    1.42e-14         81.2    0.00e+00          9.6   \n",
       "2006-12-23     7.80e+00    5.68e-14        258.2    3.80e+00        251.6   \n",
       "\n",
       "            RainNO_2_10  RainNO_2_2  RainNO_2_30  RainNO_2_3  RainNO_2_20  \n",
       "Date                                                                       \n",
       "2004-09-29         44.6    0.00e+00        115.2    0.00e+00        115.2  \n",
       "2007-02-05          1.2    0.00e+00         89.6   -4.26e-14         59.6  \n",
       "2005-02-04          0.4   -7.11e-15         80.6   -1.42e-14         78.4  \n",
       "2006-06-05         72.2    3.80e+00        197.2    4.60e+00         97.2  \n",
       "2007-05-20          0.0    0.00e+00         90.2   -4.26e-14         81.6  \n",
       "2005-08-19         65.6    0.00e+00        113.8   -1.42e-14        102.4  \n",
       "2004-08-30          1.4    0.00e+00         34.4    0.00e+00          1.6  \n",
       "2006-12-23          7.8    0.00e+00        150.2    4.20e+00        146.4  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ll.sample(8) #head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BfaNxhBTYnkH"
   },
   "source": [
    "ll.loc[:,\"Hydrometry_Nave_di_Rosano\"==0]"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "'Rainfall_Le_Croci', 'Rainfall_Cavallina', 'Rainfall_S_Agata','Rainfall_Mangona', 'Rainfall_S_Piero', 'RainNO_3', 'RainNO_2', 'Rainfall', 'winteroverflow',\n",
    "'Dormant','Wet_Cas','Wet_UFL', 'Dry_UFL','flood_Si','flood_Cas','flood_UFL'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "id": "5mLrnV5sYnkH"
   },
   "outputs": [],
   "source": [
    "Hydro_R = ll.loc[:,\"Hydrometry_Nave_di_Rosano\"]\n",
    "river= ll.drop(\"Hydrometry_Nave_di_Rosano\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "id": "X1wHUJwd12Ot",
    "outputId": "ffd98d75-fb7f-41b2-994a-54e58b94c774"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_Incisa</th>\n",
       "      <th>Temperature_Firenze</th>\n",
       "      <th>Tetens</th>\n",
       "      <th>Rainf365</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Wet</th>\n",
       "      <th>RainNO_3_10</th>\n",
       "      <th>RainNO_3_2</th>\n",
       "      <th>RainNO_3_30</th>\n",
       "      <th>RainNO_3_3</th>\n",
       "      <th>RainNO_3_20</th>\n",
       "      <th>RainNO_2_10</th>\n",
       "      <th>RainNO_2_2</th>\n",
       "      <th>RainNO_2_30</th>\n",
       "      <th>RainNO_2_3</th>\n",
       "      <th>RainNO_2_20</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-01-27</th>\n",
       "      <td>9.6</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.81</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2004</td>\n",
       "      <td>5</td>\n",
       "      <td>17.8</td>\n",
       "      <td>0.01</td>\n",
       "      <td>119.4</td>\n",
       "      <td>23.8</td>\n",
       "      <td>359.6</td>\n",
       "      <td>29.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>71.6</td>\n",
       "      <td>17.0</td>\n",
       "      <td>179.6</td>\n",
       "      <td>17.8</td>\n",
       "      <td>148.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-28</th>\n",
       "      <td>9.8</td>\n",
       "      <td>5.85</td>\n",
       "      <td>0.93</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2004</td>\n",
       "      <td>5</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>36.4</td>\n",
       "      <td>30.4</td>\n",
       "      <td>359.6</td>\n",
       "      <td>31.0</td>\n",
       "      <td>312.4</td>\n",
       "      <td>22.2</td>\n",
       "      <td>20.4</td>\n",
       "      <td>179.6</td>\n",
       "      <td>21.2</td>\n",
       "      <td>153.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.70</td>\n",
       "      <td>0.69</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2004</td>\n",
       "      <td>5</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>36.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>359.6</td>\n",
       "      <td>30.6</td>\n",
       "      <td>293.4</td>\n",
       "      <td>22.2</td>\n",
       "      <td>4.2</td>\n",
       "      <td>179.6</td>\n",
       "      <td>20.4</td>\n",
       "      <td>144.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-30</th>\n",
       "      <td>14.4</td>\n",
       "      <td>4.50</td>\n",
       "      <td>0.84</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2004</td>\n",
       "      <td>5</td>\n",
       "      <td>47.2</td>\n",
       "      <td>2.00</td>\n",
       "      <td>82.6</td>\n",
       "      <td>46.4</td>\n",
       "      <td>359.6</td>\n",
       "      <td>53.6</td>\n",
       "      <td>339.6</td>\n",
       "      <td>48.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>179.6</td>\n",
       "      <td>30.2</td>\n",
       "      <td>170.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-01-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.10</td>\n",
       "      <td>0.88</td>\n",
       "      <td>5108.4</td>\n",
       "      <td>1</td>\n",
       "      <td>2004</td>\n",
       "      <td>5</td>\n",
       "      <td>52.2</td>\n",
       "      <td>2.00</td>\n",
       "      <td>92.4</td>\n",
       "      <td>56.0</td>\n",
       "      <td>369.4</td>\n",
       "      <td>56.2</td>\n",
       "      <td>349.4</td>\n",
       "      <td>53.8</td>\n",
       "      <td>31.8</td>\n",
       "      <td>185.0</td>\n",
       "      <td>31.8</td>\n",
       "      <td>176.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_Incisa  Temperature_Firenze  Tetens  Rainf365  month  \\\n",
       "Date                                                                        \n",
       "2004-01-27              9.6                 4.00    0.81    5108.4      1   \n",
       "2004-01-28              9.8                 5.85    0.93    5108.4      1   \n",
       "2004-01-29              0.0                 1.70    0.69    5108.4      1   \n",
       "2004-01-30             14.4                 4.50    0.84    5108.4      1   \n",
       "2004-01-31              0.0                 5.10    0.88    5108.4      1   \n",
       "\n",
       "            year  week  Rainfall_5   Wet  RainNO_3_10  RainNO_3_2  \\\n",
       "Date                                                                \n",
       "2004-01-27  2004     5        17.8  0.01        119.4        23.8   \n",
       "2004-01-28  2004     5        22.0  0.01         36.4        30.4   \n",
       "2004-01-29  2004     5        22.0  0.01         36.4         7.4   \n",
       "2004-01-30  2004     5        47.2  2.00         82.6        46.4   \n",
       "2004-01-31  2004     5        52.2  2.00         92.4        56.0   \n",
       "\n",
       "            RainNO_3_30  RainNO_3_3  RainNO_3_20  RainNO_2_10  RainNO_2_2  \\\n",
       "Date                                                                        \n",
       "2004-01-27        359.6        29.0        306.0         71.6        17.0   \n",
       "2004-01-28        359.6        31.0        312.4         22.2        20.4   \n",
       "2004-01-29        359.6        30.6        293.4         22.2         4.2   \n",
       "2004-01-30        359.6        53.6        339.6         48.0        26.0   \n",
       "2004-01-31        369.4        56.2        349.4         53.8        31.8   \n",
       "\n",
       "            RainNO_2_30  RainNO_2_3  RainNO_2_20  \n",
       "Date                                              \n",
       "2004-01-27        179.6        17.8        148.8  \n",
       "2004-01-28        179.6        21.2        153.0  \n",
       "2004-01-29        179.6        20.4        144.6  \n",
       "2004-01-30        179.6        30.2        170.6  \n",
       "2004-01-31        185.0        31.8        176.4  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "river.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "id": "RBjWka62YnkI",
    "outputId": "cbe77fe3-cf96-4dd5-d628-71c2b138a292"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1256,) (1256, 19) (1256, 20)\n"
     ]
    }
   ],
   "source": [
    "print(Hydro_R.shape, river.shape, ll.shape )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "id": "kqe15hV3YnkI",
    "outputId": "99a4038b-34f2-44fe-cb3a-6e9f676d2024"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2007-07-02    0.99\n",
       "2007-07-03    1.01\n",
       "2007-07-04    1.03\n",
       "2007-07-05    1.02\n",
       "2007-07-06    1.04\n",
       "Name: Hydrometry_Nave_di_Rosano, dtype: float64"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Hydro_R.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "id": "t9ui7olSYnkI"
   },
   "outputs": [],
   "source": [
    "X= river"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "id": "dWevndUSYnkI"
   },
   "outputs": [],
   "source": [
    "y= Hydro_R"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "id": "M6dlsCXAYnkI"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.ensemble import ExtraTreesRegressor\n",
    "from sklearn.feature_selection import SelectFromModel\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "X_train,X_test, y_train,y_test= train_test_split(X ,y, random_state=1100, test_size=0.125, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "id": "IfNwFvgXYnkI",
    "outputId": "6eddc728-d4cc-40ee-b8cf-152202674933"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2007-07-04    1.03\n",
       "2007-07-05    1.02\n",
       "2007-07-06    1.04\n",
       "Name: Hydrometry_Nave_di_Rosano, dtype: float64"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.tail(3)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "vMVn6shHYnkI",
    "outputId": "5ed67534-510e-4850-978d-89431488292c"
   },
   "source": [
    "type(X_test)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "fFJtBUAjYnkJ",
    "outputId": "63411756-651a-4067-fccb-da9eebd7815b"
   },
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RXWctpryYnkJ"
   },
   "source": [
    "X_train = X_train.values.reshape(-1,1)\n",
    "X_test = X_test.values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "id": "_3ksQkibYnkJ",
    "outputId": "c77221bc-9161-44ac-c969-e004b6e27fd4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1099, 19) (1099,) (157, 19) (157,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape, y_train.shape, X_test.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "id": "pAZE4y4hYnkJ"
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import ExtraTreesRegressor #RandomForestRegressor\n",
    "#from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn import preprocessing\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "sc = StandardScaler()\n",
    "X_train = sc.fit_transform(X_train)\n",
    "X_test = sc.transform(X_test)\n",
    "\n",
    "#GBr = GradientBoostingRegressor(random_state=100) #Linreg = LinearRegression()   max_features=\"sqrt\"\n",
    "RFr = ExtraTreesRegressor(random_state=1100, n_jobs=3, n_estimators=11300,bootstrap=True,verbose=1,criterion=\"mse\",\n",
    "                            max_features=\"auto\" )#\"mae\"max_features=\"auto\" log   ,ccp_alpha=0.001"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "8J-FZh0wYnkJ",
    "outputId": "0bc65928-5d34-424b-e5e7-d5fbbcb36140"
   },
   "source": [
    "type(X_train)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "B4zwZ8WFYnkJ",
    "outputId": "9384390b-2195-484e-aafb-2dde4b51e14c"
   },
   "source": [
    "type(y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "id": "D4t7mlBbYnkK",
    "outputId": "44ddf2ff-5174-495a-e61f-920e7c20966c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    1.1s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    1.8s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    2.5s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    3.5s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    4.8s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    6.2s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    7.8s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    9.7s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:   11.8s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:   14.2s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:   17.0s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:   20.6s\n",
      "[Parallel(n_jobs=3)]: Done 11300 out of 11300 | elapsed:   20.7s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor(bootstrap=True, n_estimators=11300, n_jobs=3,\n",
       "                    random_state=1100, verbose=1)"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr.fit(X_train, y_train.values.ravel()) #.ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "id": "SLeZ5ToMYnkK",
    "outputId": "fd2f28db-b365-42cd-8b52-2b13673a13df"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature 11 (0.133735)\n",
      "2. feature 9 (0.125244)\n",
      "3. feature 16 (0.084488)\n",
      "4. feature 14 (0.073662)\n",
      "5. feature 0 (0.062515)\n",
      "6. feature 13 (0.059826)\n",
      "7. feature 2 (0.056068)\n",
      "8. feature 12 (0.053991)\n",
      "9. feature 1 (0.052520)\n",
      "10. feature 4 (0.050696)\n",
      "11. feature 17 (0.045067)\n",
      "12. feature 6 (0.043474)\n",
      "13. feature 18 (0.035017)\n",
      "14. feature 8 (0.027352)\n",
      "15. feature 7 (0.027102)\n",
      "16. feature 15 (0.019322)\n",
      "17. feature 5 (0.017568)\n",
      "18. feature 3 (0.016372)\n",
      "19. feature 10 (0.015981)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 211,
       "width": 603
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "importances = RFr.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in RFr.estimators_],\n",
    "             axis=0)\n",
    "indices = np.argsort(importances)[::-1]\n",
    "print(\"Feature ranking:\")\n",
    "\n",
    "for f in range(X.shape[1]):\n",
    "    print(\"%d. feature %d (%f)\" % (f + 1, indices[f], importances[indices[f]]))\n",
    "\n",
    "# Plot the feature importances of the forest\n",
    "plt.figure( figsize=(10,3))\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X.shape[1]), importances[indices],\n",
    "       color=\"crimson\", yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X.shape[1]), indices)\n",
    "plt.xlim([-1, X.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "id": "8V_FMC-0YnkK",
    "outputId": "8001e5d9-166b-4569-a0ad-22ec47a32901"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0, 'Rainfall_Incisa'), (1, 'Temperature_Firenze'), (2, 'Tetens'), (3, 'Rainf365'), (4, 'month'), (5, 'year'), (6, 'week'), (7, 'Rainfall_5'), (8, 'Wet'), (9, 'RainNO_3_10'), (10, 'RainNO_3_2'), (11, 'RainNO_3_30'), (12, 'RainNO_3_3'), (13, 'RainNO_3_20'), (14, 'RainNO_2_10'), (15, 'RainNO_2_2'), (16, 'RainNO_2_30'), (17, 'RainNO_2_3'), (18, 'RainNO_2_20')]\n"
     ]
    }
   ],
   "source": [
    "rivercolumns= list(river.columns); rivercols=enumerate(rivercolumns) ;  print (list(rivercols))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UWP0VXMYYnkK"
   },
   "source": [
    "[(0, 'Rainfall_Le_Croci'), (1, 'Rainfall_Cavallina'), (2, 'Rainfall_S_Agata'), (3, 'Rainfall_Mangona'), (4, 'Rainfall_S_Piero'), (5, 'Rainfall_Incisa'), (6, 'Temperature_Firenze'), (7, 'Tetens'), (8, 'RainNO_3'), (9, 'RainNO_2'), (10, 'month'), (11, 'week'), (12, 'Rainfall'), (13, 'winteroverflow'), (14, 'Dormant'), (15, 'Wet_Si'), (16, 'Wet_Cas'), (17, 'Wet_UFL'), (18, 'Dry_UFL'), (19, 'flood_Si'), (20, 'flood_Cas'), (21, 'flood_UFL'), (22, 'RainNO_3_10'), (23, 'RainNO_3_2'), (24, 'RainNO_3_30'), (25, 'RainNO_3_3'), (26, 'RainNO_3_20'), (27, 'RainNO_2_10'), (28, 'RainNO_2_2'), (29, 'RainNO_2_30'), (30, 'RainNO_2_3'), (31, 'RainNO_2_20')]\n",
    "\n",
    "Feature ranking:\n",
    "1. feature 24 (0.397914)\n",
    "2. feature 11 (0.138883)\n",
    "3. feature 30 (0.124614)\n",
    "4. feature 27 (0.072749)\n",
    "5. feature 5 (0.045627)\n",
    "6. feature 25 (0.035912)\n",
    "7. feature 22 (0.029432)\n",
    "8. feature 26 (0.020020)\n",
    "9. feature 29 (0.019925)\n",
    "10. feature 31 (0.013254)\n",
    "11. feature 6 (0.011665)\n",
    "12. feature 15 (0.011644)\n",
    "13. feature 7 (0.011639)\n",
    "14. feature 23 (0.008662)\n",
    "15. feature 28 (0.007332)\n",
    "16. feature 10 (0.006739)\n",
    "17. feature 3 (0.004944)\n",
    "18. feature 12 (0.004306)\n",
    "19. feature 2 (0.004221)\n",
    "20. feature 4 (0.004113)\n",
    "21. feature 21 (0.004074)\n",
    "22. feature 0 (0.003512)\n",
    "23. feature 1 (0.003176)\n",
    "24. feature 9 (0.002632)\n",
    "25. feature 20 (0.002399)\n",
    "26. feature 8 (0.002398)\n",
    "27. feature 13 (0.002378)\n",
    "28. feature 17 (0.002295)\n",
    "29. feature 16 (0.002032)\n",
    "30. feature 18 (0.000597)\n",
    "31. feature 14 (0.000556)\n",
    "32. feature 19 (0.000355)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "id": "MRcecGbDYnkK",
    "outputId": "1d68fb49-96d9-48f4-9407-eb82fa7840f9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Rainfall_Incisa', 'Temperature_Firenze', 'Tetens', 'Rainf365', 'month',\n",
       "       'year', 'week', 'Rainfall_5', 'Wet', 'RainNO_3_10', 'RainNO_3_2',\n",
       "       'RainNO_3_30', 'RainNO_3_3', 'RainNO_3_20', 'RainNO_2_10', 'RainNO_2_2',\n",
       "       'RainNO_2_30', 'RainNO_2_3', 'RainNO_2_20'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "river.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "id": "v__CekUBYnkK",
    "outputId": "bff659b3-b70d-4c4e-8154-690e52c4de55"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor(bootstrap=True, n_estimators=11300, n_jobs=3,\n",
       "                    random_state=1100, verbose=1)"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "X2Zn-30wYnkL"
   },
   "source": [
    "### Return the coefficient of determination 𝑅2 of the prediction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "id": "uPiTihNyYnkL",
    "outputId": "1709037b-8a2d-424a-d44e-eec17d4ffab9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    0.3s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    0.4s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    0.5s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:    0.7s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:    0.8s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:    1.0s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:    1.1s\n",
      "[Parallel(n_jobs=3)]: Done 11300 out of 11300 | elapsed:    1.1s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8363629971299096"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr.score(X_test, y_test) # max_features="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "id": "xBkIvrY0YnkL",
    "outputId": "0244451a-fea9-4f6c-c97a-a548d066bdbf"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    0.3s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    0.4s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    0.5s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:    0.7s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:    0.9s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:    1.0s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=3)]: Done 11300 out of 11300 | elapsed:    1.2s finished\n"
     ]
    }
   ],
   "source": [
    "y_pred = RFr.predict(X_test)\n",
    "#RFr.score(X_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "zmlVZ1DhYnkL",
    "outputId": "1e05b2c1-1fee-4d1d-c96f-f66bb0f67ee7"
   },
   "outputs": [],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "id": "n-veScEEYnkL",
    "outputId": "cc4f2c5b-4151-4124-9930-52246f9fe14e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date\n",
      "2007-01-31    1.53\n",
      "2007-02-01    1.50\n",
      "2007-02-02    1.50\n",
      "2007-02-03    1.40\n",
      "2007-02-04    1.30\n",
      "              ... \n",
      "2007-07-02    0.99\n",
      "2007-07-03    1.01\n",
      "2007-07-04    1.03\n",
      "2007-07-05    1.02\n",
      "2007-07-06    1.04\n",
      "Name: Hydrometry_Nave_di_Rosano, Length: 157, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "id": "3ZZigd0RYnkL",
    "outputId": "5aa27b6b-5a4d-4f91-996f-80e32850a0bf"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.51 1.53 1.53 ... 1.07 1.07 1.06]\n"
     ]
    }
   ],
   "source": [
    "print(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "id": "s0zImtW_YnkL"
   },
   "outputs": [],
   "source": [
    "y_test = y_test.values.ravel() #values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "BHxRq_K4YnkM",
    "outputId": "18e0deaf-d665-416b-83a6-69caff5689f1"
   },
   "outputs": [],
   "source": [
    "print(y_test, type(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "bUrUHcYWYnkM",
    "outputId": "06d3ecfb-5593-4d96-ba0c-c89efc84ea56"
   },
   "outputs": [],
   "source": [
    "print(y_pred, type(y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YK5WV867YnkM"
   },
   "source": [
    "###  RF regressor metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "id": "JyErIeB3YnkM",
    "outputId": "12f28d47-8d28-4cce-d444-d64d49921c1e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 0.11007093737670273\n",
      "Mean Squared Error: 0.02318781274582097\n",
      "Root Mean Squared Error: 0.1522754502400862\n",
      "Mean Absolute Percentage Error (MAPE): 17.09\n",
      "Accuracy: 82.91\n"
     ]
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "\n",
    "print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred))\n",
    "print('Mean Squared Error:', metrics.mean_squared_error(y_test, y_pred))\n",
    "print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, y_pred)))\n",
    "\n",
    "mape = np.mean(np.abs((y_test[1] - y_pred) / np.abs(y_test[1])))  # [1]\n",
    "print('Mean Absolute Percentage Error (MAPE):', round(mape * 100, 2))\n",
    "print('Accuracy:', round(100*(1 - mape), 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cbK9KLqxYnkM"
   },
   "source": [
    "###  RF regressor predictions vs. observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "W2xrjTfQYnkN",
    "outputId": "567c35dc-d3bc-4103-9c78-e5179964448a"
   },
   "outputs": [],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "id": "a5cXy_xxYnkN",
    "outputId": "fa741deb-f2c5-4a4a-d00d-079518c814b2"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y_test</th>\n",
       "      <th>y_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.53</td>\n",
       "      <td>1.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.50</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.50</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.40</td>\n",
       "      <td>1.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.30</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>0.99</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>1.01</td>\n",
       "      <td>1.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>1.03</td>\n",
       "      <td>1.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>1.02</td>\n",
       "      <td>1.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>1.04</td>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>157 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     y_test  y_pred\n",
       "0      1.53    1.51\n",
       "1      1.50    1.53\n",
       "2      1.50    1.53\n",
       "3      1.40    1.45\n",
       "4      1.30    1.44\n",
       "..      ...     ...\n",
       "152    0.99    1.03\n",
       "153    1.01    1.04\n",
       "154    1.03    1.07\n",
       "155    1.02    1.07\n",
       "156    1.04    1.06\n",
       "\n",
       "[157 rows x 2 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = pd.DataFrame()\n",
    "dataset['y_test'] = y_test.ravel()#.tolist.reshape(-1,1 )\n",
    "dataset['y_pred'] = y_pred #.tolist()\n",
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "G0API2efYnkN"
   },
   "source": [
    "### Predictionplot: river  water level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "id": "IdvSVZr4YnkN",
    "outputId": "c59fa8d1-0f30-4aef-f159-38eb1deb68b2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(157,) (157,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 484,
       "width": 618
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "\n",
    "fig,ax= plt.subplots(1,1, figsize=(10,8),) #\n",
    "\n",
    "sns.scatterplot(x=dataset.y_test, y=dataset.y_pred , data= dataset, s=10, color=\"navy\")\n",
    "#sns.scatterplot(x=y_mu_train, y=y_mu_test, data=y_mu_train, color=\"y\", ax=ax);\n",
    "\n",
    "ax.minorticks_on()\n",
    "ax.xaxis.grid(True, \"minor\", linewidth=.65)\n",
    "ax.yaxis.grid(True, \"minor\", linewidth=.65); \n",
    "print(y_pred.shape, y_test.shape )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "id": "SKwTpP9aYnkQ",
    "outputId": "0c60073f-bee8-431e-8ea7-ac51553137c4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.98"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "id": "0Gr7bMn8YnkQ",
    "outputId": "c7f23438-4dcc-487b-f0fb-a1491e565ef6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-2.546385331703017"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.min()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "CWLWJ7vSYnkQ",
    "outputId": "c8b83167-fc36-4178-f454-d1dd770908fa"
   },
   "source": [
    "type(X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z8wzrKeAYnkU"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZQpY_Za_YnkU"
   },
   "source": [
    "# Lake Bilancino\n",
    " Bilancino Lake is an artificial lake in Mugello, in the province of Florence. It has a maximum depth of thirty-one metres and a surface area of 5 square kilometres.  \n",
    " The total of the Valdisieve catchment area is 838 km².  The lake basin catchment area is only 35.7 km² however.  \n",
    " <img src=\"http://vanoproy.be/python/figs/Bilancino dam.jpg\" width=400>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "wmFmMntlYnkV"
   },
   "source": [
    "The land west - southwest of the lake has an elevated hydrological deficit, a fact that I found out from data at http://www.adbarno.it/arnoriver/.   \n",
    "The rest of the valley Valdisieve has a medium hydrological deficit.  \n",
    "Also, the surplus portion of the rain water runs off in winter time as excess lake water. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nGwFKfXFYnkV"
   },
   "source": [
    "That website mentions these values: \n",
    "- Deflusso minimo vitale  -  minimum vital Outflow:  0,029 mc/s\n",
    "    - therefore the lake has to maintain a minimum outflow\n",
    "- Prelievo medio totale -  Total average withdrawal:  0,032 mc/s\n",
    "\n",
    "- Net volume flowed out in summer:  \t1,2 Mmc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "id": "ffuR_suhYnkV",
    "outputId": "16850b09-a634-461c-dd6d-413ebd5ca85f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Temperature_Le_Croci</th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Flow_Rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-01-01</th>\n",
       "      <td>19.4</td>\n",
       "      <td>18.2</td>\n",
       "      <td>17.4</td>\n",
       "      <td>12.8</td>\n",
       "      <td>18.6</td>\n",
       "      <td>4.00</td>\n",
       "      <td>252.12</td>\n",
       "      <td>16.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-02</th>\n",
       "      <td>0.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.25</td>\n",
       "      <td>252.16</td>\n",
       "      <td>24.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.30</td>\n",
       "      <td>252.08</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.35</td>\n",
       "      <td>252.04</td>\n",
       "      <td>11.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-01-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>251.98</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_S_Piero  Rainfall_Mangona  Rainfall_S_Agata  \\\n",
       "Date                                                               \n",
       "2006-01-01              19.4              18.2              17.4   \n",
       "2006-01-02               0.4               1.6               0.4   \n",
       "2006-01-03               0.0               0.0               0.0   \n",
       "2006-01-04               0.0               0.0               0.0   \n",
       "2006-01-05               0.0               0.0               0.0   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Temperature_Le_Croci  \\\n",
       "Date                                                                      \n",
       "2006-01-01                12.8               18.6                  4.00   \n",
       "2006-01-02                 0.2                0.0                  6.25   \n",
       "2006-01-03                 0.0                0.0                  5.30   \n",
       "2006-01-04                 0.0                0.0                  6.35   \n",
       "2006-01-05                 0.0                0.0                  3.85   \n",
       "\n",
       "            Lake_Level  Flow_Rate  \n",
       "Date                               \n",
       "2006-01-01      252.12       16.8  \n",
       "2006-01-02      252.16       24.6  \n",
       "2006-01-03      252.08       17.6  \n",
       "2006-01-04      252.04       11.1  \n",
       "2006-01-05      251.98        7.4  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino =pd.read_csv(r\"Lake_Bilancino.csv\", sep=\",\", encoding=\"UTF-8\",parse_dates=True ); #http://vanoproy.be/css  engine='python', header=0,\n",
    "Lake_Bilancino[\"Date\"] = pd.to_datetime( Lake_Bilancino.Date, format='%d/%m/%Y' )  # ../input/arno-bilancino/\n",
    "Lake_Bilancino.set_index(\"Date\", inplace=True)\n",
    "Lake_Bilancino.loc[\"2006\"].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vcZ1OOZAYnkV"
   },
   "source": [
    "Not the whole upper Sieve basin area  can be considered as  catchment area for the Lake Bilancino.  The lake data has 5 measure points for rainfall. After inspecting topographic maps however, I found that only the rainfall of  3 meteo station regions feed the lake: nl. Mangona, Cavallina and Le Croci.  \n",
    "Rainwater runoff at S. Piero and S. Agata only have influence on areas after (or below) the lake.  \n",
    "\n",
    "Let's see if the data can reveal any of the adjustments for rainfall in the summer or winter i.v.o. water storage.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "id": "4Vj3BMleYnkV"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"Rainfall\"]= Lake_Bilancino.iloc[:, 0:5].sum(axis=1) # Lake_Bilancino.iloc[:, "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "H3G6c3TqYnkV"
   },
   "source": [
    "In summer, the storage of the lake feeds the Arno. In winter however,  the lake stores most of  the rainfall water. Nevertheless, rainfall water from S.Pietro and S.Agata regions does not pass through the lake.  \n",
    "So they will not appear in the lake water balance.  \n",
    "After inspecting the lake outflow plots, I guess the river feeding period runs from month June til end of October. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "id": "01JYM6XSYnkV"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"RainNO_2\"] = Lake_Bilancino.iloc[:, [0,2]].sum(axis=1)\n",
    "Lake_Bilancino[\"RainNO_3\"]= Lake_Bilancino.iloc[:, [1,3,4]].sum(axis=1)\n",
    "emptystorage=[6,7,8,9,10] #   R3 StoRain - FreRain\n",
    "Lake_Bilancino['month']= Lake_Bilancino.index.month\n",
    "Lake_Bilancino['week']= Lake_Bilancino.index.isocalendar().week\n",
    "Lake_Bilancino['year']= Lake_Bilancino.index.year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Thermometer data  2004\n",
    "\n",
    "Thermometer data is missing in 1/1/ 2004. We'll have to visit an oracle or we're left with an Nan. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "Lake_Bilancino.loc[\"2004-01-01\",\"Temperature_Le_Croci\"] = 6.5# Temperature_Le_Croci Lake_Bilancino.loc\n",
    "#Lake_Bilancino.loc[\"2004-01-02\"][\"Temperature_Le_Croci\"] #.plot( figsize=(19, 2));  00:00:00"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SRYBVfXCYnkW"
   },
   "source": [
    "An attempt to make a distinction bt. summer and winter, freerun and storage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "id": "TC-ltcioYnkW"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino.loc[Lake_Bilancino['month'].isin(emptystorage), \"FreRain\"] =Lake_Bilancino[\"RainNO_3\"] # summer "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "id": "bpEjoMDsYnkW"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino.loc[ ~Lake_Bilancino['month'].isin(emptystorage), \"StoRain\"] = Lake_Bilancino[\"RainNO_3\"] # wintr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "mUZUqUX2YnkW",
    "outputId": "374c8665-2ae3-4982-e3fd-73f4b03b2e65"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6603"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino.Lake_Level.isna().count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zdjzApv-YnkX"
   },
   "source": [
    "### Features for Lake Bilancino"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dRNeI7ZmYnkX"
   },
   "source": [
    "####  Lake level\n",
    "I suspect Mangona rain water run off takes more time, or  a longer tail.  See graph later on.   I could use a shift for effect of rainfall on lake level. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "id": "ZzHgS2qbYnkX"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"Lev_1\"] = Lake_Bilancino.Lake_Level.shift(1, fill_value=0).diff( 1,) #\n",
    "\n",
    "Lake_Bilancino[\"Rain_3\"] = Lake_Bilancino.RainNO_3.rolling(3).sum().fillna(method='bfill', limit=3)\n",
    "Lake_Bilancino[\"Rain_7\"] = Lake_Bilancino.RainNO_3.rolling(7).sum().fillna(method='bfill', limit=7)\n",
    "Lake_Bilancino[\"Rain_14\"] = Lake_Bilancino.RainNO_3.rolling(14).sum().fillna(method='bfill', limit=14)\n",
    "Lake_Bilancino[\"Rain_72\"] = Lake_Bilancino.RainNO_3.rolling(72).sum().fillna(method='bfill', limit=72)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "id": "47ft-VLBYnkX"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"Peil\"] =Lake_Bilancino[\"Lake_Level\"]-Lake_Bilancino[\"Lake_Level\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "0FTvcTX_YnkX",
    "outputId": "31480761-135d-46de-b90e-e16619cec4cc"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 367
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lake_Bilancino[\"Peil\"].plot(); #line"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "V3HkQFr6YnkX"
   },
   "source": [
    "####  Flow rate\n",
    "this addition is used to have m³ units at my disposal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "id": "F1Fhg1o_YnkX"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"Flow_Rday\"] = Lake_Bilancino.Flow_Rate*24*3600"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PchkUvayYnkZ"
   },
   "source": [
    "Count the number of day of dryness. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "id": "xSQRYcnaYnkZ"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino['isDry'] = Lake_Bilancino.loc[Lake_Bilancino.RainNO_3<= 0.2 ].groupby(['year','month'])['Rainfall'].transform('count') \n",
    "# Lake_Bilancino  (Lake_Bilancino.Rainfall <= 0.2) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PrtU4mbZYnkZ"
   },
   "source": [
    "Lake_Bilancino['Dry_cnt'] = Lake_Bilancino.groupby(\"isDry\")[\"Flow_Rate\"].count() #\"Lake_Bilancino"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "PwlJ4H1MYnkZ",
    "outputId": "d7c3dab4-a450-45e8-bfa3-7844844f1ae3"
   },
   "source": [
    "Lake_Bilancino.groupby(\"isDry\")[\"Flow_Rate\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "id": "RiEocmg0YnkZ",
    "outputId": "9fcafd6e-c113-4e05-ddba-5082774711d4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Rainfall_S_Piero', 'Rainfall_Mangona', 'Rainfall_S_Agata',\n",
       "       'Rainfall_Cavallina', 'Rainfall_Le_Croci', 'Temperature_Le_Croci',\n",
       "       'Lake_Level', 'Flow_Rate', 'Rainfall', 'RainNO_2', 'RainNO_3', 'month',\n",
       "       'week', 'year', 'FreRain', 'StoRain', 'Lev_1', 'Rain_3', 'Rain_7',\n",
       "       'Rain_14', 'Rain_72', 'Peil', 'Flow_Rday', 'isDry'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino.columns #[1500:1512]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-V5HCvvVYnkb"
   },
   "source": [
    "Days of dryness was not adding enough information..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6YxRbQxgYnkb"
   },
   "source": [
    "### Study of separate rainfall sets "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "nOVccvHTYnkb",
    "outputId": "9f96d4e7-0c5b-46cd-dbe6-1c7f277d6db0"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1224x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 426,
       "width": 1006
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(5,1,  figsize=(17, 6), sharex=True) #, squeeze=False  plt.grid()\n",
    "sns.lineplot(x=\"Date\", y= \"Rainfall_Mangona\", data=Lake_Bilancino,label=\"Mangona\",ax=ax[0] )\n",
    "sns.lineplot(x=\"Date\", y= \"Rainfall_S_Piero\", data=Lake_Bilancino, label=\"S_Piero\",ax=ax[1]) # ax=ax\n",
    "sns.lineplot(x=\"Date\", y= \"Rainfall_S_Agata\", data=Lake_Bilancino, label=\"S_Agata\", ax=ax[2]) # ax=ax Flow_Rate\n",
    "sns.lineplot(x=\"Date\", y= \"Rainfall_Cavallina\", data=Lake_Bilancino, label=\"Cavallina\", ax=ax[3]) # ax=ax Flow_Rate\n",
    "sns.lineplot(x=\"Date\", y= \"Rainfall_Le_Croci\", data=Lake_Bilancino, label=\"Le_Croci\", ax=ax[4]) # ax=ax Flow_Rate\n",
    "plt.xticks(rotation=90); #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2013-01-01\" ),pd.to_datetime(\"2013-12-31\" )); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "byzrRa0yYnkb"
   },
   "source": [
    "Mangona lies further from the lake than the others, but the steeper slope might minimize the time lag btw. them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6DxyzpYcYnkc"
   },
   "source": [
    "### Split in 2 subsets \n",
    "I'll split the data up in 2 Subsets in order to be able to work with a separate winter and summer regime:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "id": "YJvJGYCrYnkc"
   },
   "outputs": [],
   "source": [
    "winter =Lake_Bilancino[(Lake_Bilancino.index>'2003-10-28') & (Lake_Bilancino.index < '2004-06-01') |\n",
    "                                        (Lake_Bilancino.index>'2004-10-28') & (Lake_Bilancino.index < '2005-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2005-10-28') & (Lake_Bilancino.index < '2006-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2006-10-28') & (Lake_Bilancino.index < '2007-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2007-10-28') & (Lake_Bilancino.index < '2008-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2008-10-28') & (Lake_Bilancino.index < '2009-06-01')\n",
    "                                       | (Lake_Bilancino.index>'2009-10-28') & (Lake_Bilancino.index < '2010-06-01')|\n",
    "                                        (Lake_Bilancino.index>'2010-10-28') & (Lake_Bilancino.index < '2011-06-01')|\n",
    "                                         (Lake_Bilancino.index>'2011-10-28') & (Lake_Bilancino.index < '2012-06-01')|\n",
    "                                         (Lake_Bilancino.index>'2012-10-28') & (Lake_Bilancino.index < '2013-06-01')|\n",
    "                                        (Lake_Bilancino.index>'2013-10-28') & (Lake_Bilancino.index < '2014-06-01') |\n",
    "                                        (Lake_Bilancino.index>'2014-10-28') & (Lake_Bilancino.index < '2015-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2015-10-28') & (Lake_Bilancino.index < '2016-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2016-10-28') & (Lake_Bilancino.index < '2017-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2017-10-28') & (Lake_Bilancino.index < '2018-06-01')\n",
    "                                      |  (Lake_Bilancino.index>'2018-10-28') & (Lake_Bilancino.index < '2019-06-01')\n",
    "                                       | (Lake_Bilancino.index>'2019-10-28') & (Lake_Bilancino.index < '2020-06-01')\n",
    "                                       ]  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EDVdomB7Ynkc"
   },
   "source": [
    "Lake_Bilancino[ ~ winter]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "id": "FCuIoiNiYnkd"
   },
   "outputs": [],
   "source": [
    "Arnosummer= Lake_Bilancino.loc[~ Lake_Bilancino.index.isin( winter.index)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "-lS2fBkWYnkd",
    "outputId": "1cfa562d-5265-4f05-fe49-4971e6c1873b"
   },
   "outputs": [],
   "source": [
    "Arnosummer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "6dmgNVACYnkd",
    "outputId": "f8433937-d7b8-4bcd-c994-982ff0f44cca"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "Fslgr31OYnkd",
    "outputId": "b537b603-e213-49c0-d2e9-aea7f9b7bcfa"
   },
   "outputs": [
    {
     "data": {
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gJEmuApuu27ZS121bOW17MmUoON66ors/qPaegNq6A2rrHlHPQEhTy6GP9Y3qGz/ep4d+dkBXb12hmy+r08bVZXn9DuqlfDx+/Lmj+saP92buk0KXXZ+8a4c2r/PyohMWFL9nIF+QdeSabGTaYjHLZTHLVWA7/cHnwDAMRWPJdJu1cCzdai2S/hwIxxQMxydbsYVimeOC4disRfgLIZE0dGIwrBOD4dMea7WYxtuh2aa0SZssIpr4ushll2e8fVqhyy47rX9nxeM38gl5R64h08gXZB25JpFISKJICJAoEgIAYFHtO+LXY08fUUvnoEaCsRn7A6GYjnaPzNjudtrk87rl83q0osKtmgqPitx2tbQPqumIXwfbh+Z8J7LJJNWUu7XaV6TqMrfKSwpUUeJUebFT3hKnij0OWeYoivnhU606MRSRlC7guPOWDfOab7HHoduuqtebrlytw8eG9cuX2vXs612KxpKZYy69oFof/8Ntc45hvixmk4o9DhV7HFpVVajLLqrJ7ItEEzraNaKndh/Ts68dVySaHkcskdKTrxzTk68cU3lxga7c7NNVm33asLpswcaFSamUoW//dL9+9MyRzLaacrc+877L5avwZHFkAAAAS8NkMqnAYVWBw6qKUucZn5dKGQpHE+OFQ+mPmasVTa5gdPIqRtFYUrFEalr7tVg8qbFYIvO78ZlIJA0Nj0Y1PDq/VmkOu0WFzvFWaeOFReXFBem/dSo88lV45C1xTvsdfCyW0ODImPwjEfmHxxSNJeZ1m2azabLVWqb1mlkOu3VGOzab1UyxOgAAAAAgr1AkBADAImluG9T//NqLSp3FW39DkbgOHxvW4WPD8z7XMKRuf0jd/tCs+60Wky5a69UbL1+tSy+sls2a7oV6Yiis/3rycOa4u27dcNYtuUwmk9bXlmp9bane+5aL9PSrx/W7vT1aUenRe958oayWpem/6nRYdeGacl24plzvefOFeua1Lv3ypXYd7ZoszBoYGdPjzx3V488dVWmhQ1dsqtHVW1foojXlvGCwAKLxpP71u6/qhSmt5hprS/Xp916mYg/v2gAAADgVs9kkj9Mmj9OmGrkX9Npj0YQGAmPyD0c0MF6Q4x+JpFc0yhQlxTOFSWcjGksXJ/lHxuY8xmY1q7rcLYvZpIGRiEbDZ95O+FyZTFKB3aJCl10e1/QWa5MrJY1/P6UFm7vAlterkQIAAAAAzl8UCQEAsAhCkbj++dFXphUIuQusWl9bqsa6MjXWlaq2qlCDgTF19QfTRT39QXX3h9TtD2rsDJ6EX1Xl0aa1XjXWlWpgZEzt3QG19Yyo60TwlC0JEklDrx/q1+uH+lVS6NCNl9Tqlsvr9PDPmxWLp2+33lekmy9ffa4/hvS8nTbddlW9bruqfkGud7ZcBTbdesVqvfHyOrUeH9avftehF5t6NBqeXOFpaDSqn7/Yrp+/2K7a6kK95Zq1esP2lXLQJmHeEsmUntjVqe//9pD6x1enkqQrNtXoE3+0TQV2fg0FAADIpgKHVSsqPFpxBis7xuLJyaKhKasaBcZbowUzX8emtVRLnsEbJuKJlI71jS7ElObNMKRINKlINJJZUfVMmEySx2mb1natyJ1eJclb4pS32Jn5+nStpAEAAAAAWEo59+pMY2PjGR338MMP67LLLjvlMYlEQhdffLFisZntYSSpqqpKzz777LzHCADIbYZh6Kv/tSfzJLPbadPf/dmVWrOieMa7TSvLXNqwumzG+UOj0XTxUH9IPf6guvqDGhqNanVNkTat9WpTg1dlRQWz3n40ntSx3lF19gXUPxzRwPg7ggemvDN4wvBoVP/15OFpKwhJ0r1v25SzbbdMJpPWrSrVulWl+sDtm7X3iF8vNPXopb3d01rCdfaO6ss/eF0P/eyAbr1ytd505WqVF595a4h8lUym9NTu4/reb1rUNxietu/N16zRe99yUc5mCwAAIFfZbRaVFzvn9fuwYRiKRBPTCosCoZhODIXV3R9SV39QPf6QhoPTW5hZzCaVFxdk2iW7CqzzKrJJJlPpFmzxxPjnyfZrsSlt16Lx1JwtnE8/N40XQ8Ulzb6C6wS71aza6kLV+4q12lekel+xIrGUnPalWV0VAAAAAICpcq5I6M1vfvOc+zo7O7Vnzx4VFhZq1apVp71Wa2urYrGYamtrtWXLlhn7S0pKzmWoAIAc9eQrx/Ts612Z7z/yrq1qWFVyxuebTCaVFRWorKhAm9Z65337DptFDatK5rzNE0Nh/eblTv365Q4NBmYu+3/N1hW66Cxu93xksZi1dX2ltq6v1Ptv36wDRwf03Otdemr3scxqTqPhmP7fbw/pv588rKu3rNBNl9bqogYvhS4nicaTemlvj77364Pq6p/+Qkmxx667bt2oWxZodSoAAAAsfyaTSa4Cm1wFNlWVueY8LhSJq8cfkiFD3mKnij2OJWvllUyNFzJNWR1pNDR9NaRAOKZgOK7A+PfBcEyhscQZ30YskVLr8RG1Hh+Ztr3IZdGaXS+qpsItn9ejFRVu+So8qipzLVl7ZgAAAABA/sm5IqF//ud/nnV7OBzW7bffLpPJpH/5l3+Rz+c77bWam5slSbfffrs+8IEPLOg4gXzncs39BCGwHJxtRrv7g/raD5sy3998WZ2u2nL6/3OWUmWpS3e+cYP+4Kb12tXcp1++1K5XW07IMNIt0e7+vQuyPcSssJhN2tSQXqXpT267QL95uUM/ff5oZkWoZMrQM68d1zOvHZe3uEDXbVupG3asUm11UZZHfm7OJuuGYah3IKyDHYNq6RhSS8eg2roDM9pJFLpsuv36dbrtqno5HTn3ayeWMX7PQL4g68g1ZDo/uZ22eb2pYiFZzCZ5nDZ5nDbVyH3G5yWSKQUnConGi4eGg1ENjIzJPxxJfx6JaGA4MmdBUSCc1OuH+/X64f4ZY6r3Famxrkwb6tLtqqvLXbQsw3mLx3bkGjKNfEHWkWvMZgrxsbwZxunbdS8Uk7GUt5ZFn/rUp/SDH/xAd911lz71qU+d0Tl///d/r4cffljf+MY3dO211y7yCNNaWloUDAbl8XjOuHUaAGB5iCdS+qsvP6fWY8OSpBUVHn3x49ep4DwojugbDGv/0QFtWF0qn9eT7eEsG8lkSr/b36ufPHtEB9oGZz1m7cpiXXfxSl20tlz1vuKce9dvPJHS8ROjausOqK17RO3dAR3tHpnWtu5k7gKr3vaGBr3lmjVyFdiWcLQAAADA8jISjKq9JzDt9+nOvtF5tTorctu1vrZUa1cUq95XrHpfkarL3Uu24hIAAADyz8GDB2UYhhobGymwAZZAKpVSS0uLTCaTNmzYcNrjz6WuZPm/arkAmpqa9F//9V+qqanRJz7xiTM+b2IloYsuumixhgYAyCGP/rI5UyBktZj1P/54+3lRICRJVWWuU7YAyFcWi1lXbfbpqs0+tR4f1hO7OvXsa13TCmSOHB/RkfHWAXarWWtXlqixrlQb6sq0YXWpyoud2Rr+aSVTho73jaqtJ6BAMDqlhUK6ncJQYExd/UElkmdWU76y0qOrt6zQW69dI4/LvsijBwAAAJa/Yo9DW9ZVaMu6isy2RDKlHn9I3f1BdftD6Y/xr/3DkRnXCIRieqW5T68092W2OewWra4u0mpfkep9xVpdU6R6XxFF+gAAAFgQVqtV8XhcsVhMBQUF2R4OkPNisfTrTlbr4r+ueH68cnmOPv/5z8swDP3lX/7lGS+PZxiGmpubVVFRoSeeeELf//73deTIETkcDl155ZX68Ic/rDVr1izyyAEA54vXD53Qfz/Vmvn+3bddoLUrS7I3ICy4hpUlalhZove+5SK9evCEntx9TDv39yqemHwHcCyRUnP7oJrbByUdkSTVeN3a3ODV5vFWZqWF2fuDaiQYVUvnUKZF2KHOYUWis7c/OB2P06b1daXaUJtugbC+toTCIAAAAOAMWC1mraoq1Kqqwhn7guGYDnUOq6VjUAfHf3cPReIzjovGkunf7TuHpm2vKnOp3lek1TXpFYfqfcWqKnOx6hAAAADmxeVyaWRkRKOjoxQJAUtgdHRU0tK0e8z5dmPPPvus3ve+96mhoUE//elPz7h/d2dnp2666SZJ6R6F27ZtU2FhoZqbm9Xb2yu3261vfOMb2r59+4KOd2JZqLnU1taqoiL9zqP+/n51dnbOeezUsTU3NyscDs96nNfrVV1dnSQpFArp4MGDc15zw4YNcrvTPdo7Ojrk9/tnPc7lcmnjxo2Z73fv3j3nNZlT/s5p6rELMadkypDN7lT9mgZF40kZhqHWQwfksJlknuXf/unmlEwZikRTiicNXX/1JbKMtxDKt/uJOZ1+Tq3dY3rsd0MKjSUlSdsaK/V722yz5u58mZOUe/eTtPBzisRSOtAZ0UjMpYOdQzoxOPfj3YRVVYXa3ODV+pUe2RJ+uRyWRZ1TaCyp/Z0R7WkLq2tg7hZhp1LqsaqyxKqqEpuqS2yqKrWr1GOR2WQ6L+6nCbmUvQnMiTlJzCmf53Sq46Tzc065eD8xJ+Y0F+aUv3OaOt7Tzenii7epqz+ow8eGtXtfm473h9U3HFdo7MzbldmtJlVmfpe36art67VxTZWsFjP3E3Oa81jmxJwk5sScmNNsmBNzmpAPczKZTHI4HCorK1NpaakcDodMJlNmhaG5TNy2JEUiEaVSs//uarVa5XA4JEnJZFJjY2NzXrOgoEAWS/q59Gg0qkRi9je/ms1mOZ2Tq/uHQqE5r2m322WzpVfiZE7MaS6LOSfDMBSNRjU0NKTBwUFFo1GdXL5zuscI2o3N4qGHHpIk3XvvvWdcICRJBw4ckCRVVVXp61//euYBMpFI6F/+5V/0rW99Sx//+Mf1m9/8JhMgAEsnkTTUfCyiV4+E1D0YUzxpaPJxvnXasSaTVGA3y2U3y2k3q8BukslkktMZlN2e/vcbi0UVDEUUiaUUiaYUiaUUjU8+CP/7z3+m2upC1fuK5TRHVOo2VF1ql9NOH9Zkysi0IhqLJmS2pv9zHIslNRxKKBBOzviQaUjlr4Rkt5llt1k0PDgsm8Uks9mkkx+pi48dk9s9KCn9H+rIcGDOsRwebMl83d8/oHhs5rstJcnlTqjkUPo//FgspsDwqFZ5Haops8kyj3dXJpKGnmwa0YvNk8WdJR6HPvaHF+voof1nfB2cv5x2s7Y3uDO/pA0FxvTEi3t1pGtUx/xRdQ3ElEhOP+dY36iO9Y3qZ+PfV5XYVF/lUH2VQ3WVDhUswONKImnoUFdEe9rDOtw1ptQpSsI9BWat8NpV5LTI5Ug/TjodZm2+sFFFbrtWVHjU2d56yoJPAAAAAIvDbDZlVh2qcQczv5cHI0n1DsfVNxRX73BcA6Mp9Q1FlZzll/9YwtBxf0zH/ekn03+2a6fsVrMaVpWoptSicndKK8vtKnLN/gYGAAAA5KeJAob+/n4NDQ1lXms3DGNGIcNUZvPkc9xzFWmcfOzprmkymTK3f6bXPN2xU6/JnJjTmdz+Ys0pkUgokUicchwLKadXEjp69Kje9KY3qaamRr/97W8zFV5nwjAM9fb2ymw2q6qqatq+VCqld77zndq/f7++8IUv6LbbbluwMU+sJHQ2FV/A+WSiGnm+q3F19wf1q9916Le7OhUInd2KGAtpzYpiXbKxSjsuqNK6VaXzKjA5Hw2NjqmtO6D27pH0556AjvWNzvok5PnIVWDVhWvKtbmhQtb4CVWV2HTJjh2zHtvjD+n/PPKKDh8bzmwrLXTob+6+VBtWly3RiLHcxRNJHewY0t5Wv5pa/WrpGMwU1c3GbDZp81qvrtzi0xUX1aikcO5C5LFoQt3+kPwjEQ0MR+QfGZN/OCL/cERHukZmbUlgMZu0blWJGuvK1FhXqsa6UnUeOSCTybTgqyMC2XS2v2cA5xuyjlxDppEvFivr8URSx/qCau9J/83eNv63+5k+f1Jd7tKmtZOtksuLnac/CTgNHtuRa8g08gVZh5R+vTwQCGhoaEhjY2NLVsCwGCaK7ZeilRMwHyaTSQUFBSotLVVRUdEZL3xzLnUlOb2S0C9/+UsZhqE3v/nN8yoQktJ3Rk1Nzaz7zGazrrvuOu3fv1/79u1b0CIhALN79eAJ/fdTh9XUOvuSiFJ6xSC7zSKHzSK7zSKTSQqG44pEZ1/27XTMJsnttMtiMWl4NDrrMUe7RnS0a0Tf/+0hFbnt2rahUpdsrFJjXZkqS53zWsFsuRiLJdTjD6m7P6Ruf1Bd/cHM1yPB7BdmLabwWEK7DvRp14E+SVKBzaR1O19Qva9I9b4irfYVq7aqUC82deur/900LVvbN1TqY3+w7ZRFHcg/NqtFm9Z6tWmtV390S/rf18H2QTWNFw0dPjas1JQiu1TK0OuH+/X64X597b/36MI1Xl21xaeL1par1x9Se08g82R/z0BIZ/o3WWNdqa7fvkrXbF2hIrd92r5j5+HjFAAAAICZbFaL1qwo1poVxZlthmFoaDSqtu4RtXcHdKRrRC1ztEruHQird6BTv9mZboexosKjzQ1erV1ZLJ/XI1+FW2VFBeflcx0AAACYP5PJpOLiYhUXF5/+4GVuovBtans1IF/ldJHQb3/7W0lalCIer9crSafsTwdgYbT3BPSZ/3hpxovh3hKnbr6sTjfsWKWyIoesFvOsT1QlkimNhmMaDcU0Go4rPDZ7Cyqz2SSP06ZCt12FLrvcBTaZx1cGGglG1d4TGH+BfiT9dXdg2go6gVBMT+8+rqd3H5eUXpVmdU2R6n3F45/TX9tty2f57lTKUFd/UC0dQ2rpHFJLx6A6egKnbE00G4fdMqNNmCQ5HVZ5S5zyljhVXlwgb7FT5SVOOWwWxeJJReNJxcY/orFk1lYk6hsKa2+rXwMj0x/Tx+KG9h7xa++RyeI0s0nTfj5Wi0nvvu0CveWatZm8AHMpsFu1dX2ltq6vlCSFx+I60DZRNNSvI8dHMsemDM3I33xUlbn0hu0rdcP2VfJVeBZk/AAAAADOLyaTSWVFBSorKtD2DZOrpQ8FxsafB0h/HDo2pGhseq/krv70G4emKrBbVON1y1fh0bqVJdrU4NXalSU5v7IyAAAAAOSKnC0SGhgY0P79+7V69eqzatv16KOPateuXbrjjjt05ZVXzth//Hi6CKC6uvqcxwrg1J565VimQMhsknZsrNYtV9Rp+4aqM3oSymoxq7SwQKWFBWc9hmKPQ1vWVWjLuorMtvBYXK8f6tcrzX16pblPQyetNhQeS+hA26AOtA1OGYtJ9b5iNdaVasN4u5+qMteSvgsvmTL08r4e/WZnpw62Dyo4S0uiuRTYLaqrKcoUP9X70l+7CmyLOOKlYRiGevwh7Wn1a2+rX68e7FFobGa/0KkFQjVet/7qj3eoYVXJ0g0UOcVVYNOOjVXasTH9ZL1/OKIX93brxaYeHWgbOOVKQWaTVOP1qKrMlS7CK3GqvNgpb0mBKkqcWllZSOEaAAAAgFmVFhXo8otqdPlF6ZXU44mUDnUOpd+o0OpXc/ug4omZfxOPxZLjq5sG9MKebkmSu8CqC9ekW5RtWedVXXURf4sAAAAAwDKVs0VCTU1NkqSLL774rM4/duyYfvGLX8hms80oEopGo/rVr34lSbr66qvPbaAATskwDD2/pyvz/X3vvlRXbJq9FeBScxXYdOVmn67c7FMqZeho94heae7T3la/2rpHNBqeWXyTSBo6fGxYh48N66fPt0mSSjwO1VYXylfhkc/r1ooKj2q8blWXu2WzmhdsvKFIXL/Z2aHHn2+bdVnxCSaTVF2eHoevwp1eUnx8XN4SZ84+0WcymdL3QYVHt16xWq+88oqGQ0l5ymvV1h1Qe8+I2roD6h1v8XT99pV6/+2bc6JACsuHt8Spt1yzVm+5Zq0GA2N6aW+PXmzqVnd/UNVed7o4b7xIb1V1oRzLaGUyAAAAAOcvm9WsC9eU68I15fqDmxoViyd1sGNQzW2DOt4fVHd/UF39IYVmeaNRaCyhnQd6tfNArySp0GXXpoZybV6bLhxaVVVIizIAAAAAWCZytkho3759kqSLLrrotMd2d3crEomotLRUZWVlkqR3vvOdevjhh/X444/rxhtv1C233CJJisfjuv/++9XV1aVrr71WF1544eJNAshhtbW1Z3Tcoc4hnRiKSJLcTltmtY3lxmw2qWFliRpWlugPbmqUYRgaDIyNv7tuRO3dAR3pGlZXf2jGucPBqIZbo2pqnd5SyGySKstcmSId33jRTo3XLaf9zB++A+GYfvlSu57Y1alINDljf5HbPm1lo3WrSih8kVRXV6c6SRUVFZl3VkpSJJpQJJpQWdHZr0wFnImyogLddlW9bruqflFv50wfj4HzCblGviDryDVkGvnifMi63WbR5oYKbW6YXFHZMAwFQjH1+EPq6B3VvqN+NR32azAwvXX3aDimF5t69GJTjySppNChzWu9unBtuRprS7W6pkgWy8K9KQrL2/mQd2A+yDTyBVlHriHTwCSTYZyqkcX565Of/KR+9KMf6d/+7d/0xje+8ZTH3nXXXdq5c6c+/OEP6yMf+Uhm+8MPP6zPf/7zMgxDmzZtks/n0549e9Tb26s1a9bokUceUXl5+YKOu6WlRcFgUB6P56zapAG55j9+vE8/fvaIJOnGS2r1539wdquDLReBUEyHOofU0jGklo5BHeocUmgsseTjKHTZ9cYr6nTjJbWq8bp5Rx8AAAAAAJg3wzDU7Q+pqdWvpsP92nvEr5Fg7JTnOOwWNaws0Ya6UjXWlaphZam8JQU8NwEAAAAAZ+hc6kpydiWhwcFBSVJRUdFZX+NP/uRPtG7dOv3Hf/yHmpqa1NLSIp/Pp/e///2699575Xa7F2q4AGaRSk1vNXbN1hVZHM3CKHLbtWNjVWZFpFTKUO9ASF3jy3Z3+9NLeHf7Q/IPR7TQZZyrqgr11mvX6LptK1Uwj9WIAAAAAAAATmYymbSiwqMV4627DcNQZ9+omg77tfeIX3tb/Qqe1KIsGktq/9EB7T86kNlW6LJpdU2x6n1FqvcVaXVNsepqCmWz0mIZAAAAABZSzq4kdL5iJSHki/7+fknpVk5zOdA2oE9++XlJ6ZVvHv7MLbLm0XLU0XhSvf6JwqF0IVG3P6S+gZASqTN/6DZJWreqVL93db22rq/gnXln6EwyCuQCso5cRK6RL8g6cg2ZRr7Ip6wnU4bau0e094hfBzvSKyv7hyNndK7datbG+jJtavBqS0OFGlaV5NXzQrkin/KO/ECmkS/IOnINmUauYSUhAOedzs5OSaf+z/i51ydXEbpyc03ePRHksFlUV1OkupqzXxENZ+9MMgrkArKOXESukS/IOnINmUa+yKesW8wmrV1ZorUrSzLbBkYi423Yh9TSOaT27pFZW7HHEintOezXnsN+PaKDKrBbdMGacl20plwb6srUsKpETgdPby93+ZR35AcyjXxB1pFryDQwib+iACxLyZShF5u6M99fs+X8bzUGAAAAAACQ78qLnbpys1NXbvZJkgzDUP9QRG3dI2rrCai9O6AjXcPqHQhPO28sltSrB0/o1YMnJElmk1RXU6TGujI11paqsa5UKyo8MptZQRkAAAAA5kKREIBl6UDbgAYDUUlSsceui9aWZ3lEAAAAAAAAWGgmk0mVZS5Vlrl02UU1me3+4YiaWv3a2+rXntZ+9Q9Nb1OWMqS27oDaugP65UvtkiSP06b1daXaUFuqxroyra8tkcdlX8rpAAAAAMCyRpHQMheNJ/Vaywm90tynWDypGq9HPq9bKyo88lW45SqwZXuIwKKY3mrMJ0uetRoDAAAAAADIZ94Sp27YsUo37FglwzDUNxjW3la/DnYMqaVjUJ19ozKM6ecEI/Fpqw1J0spKjxrr0kVDG+pKVVtVyPNMAAAAAPIWRULLVCAU0//5z1e0q7lXkWhyzuNKPA7VVhem/9Adf4dMSaFjCUcKLLxkMqWXmnoy31+zlVZjAAAAAAA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      "text/plain": [
       "<Figure size 1418.4x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 460,
       "width": 1156
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(3,1,  figsize=(19.7, 7), sharex=True) #  plt.grid()\n",
    "sns.lineplot(x=Lake_Bilancino.index, y= \"Peil\", data=Lake_Bilancino, label=\"Lake Bilancino\",ax=ax[0] )\n",
    "ax[0].axis(xmin=0 ,xmax=15 ) # xlim( 0,)\n",
    "sns.lineplot(x=Lake_Bilancino.index, y= \"RainNO_3\", data=Lake_Bilancino, label=\"Rain NW\",ax=ax[1]) # ax=ax\n",
    "sns.lineplot(x=Lake_Bilancino.index, y= \"RainNO_2\", data=Lake_Bilancino, label=\"Rain NE\", ax=ax[2]) # \n",
    "plt.xticks(rotation=90); #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2018-01-01\" ),pd.to_datetime(\"2018-12-31\" ) ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "Y3hcWjp8Ynkd",
    "outputId": "0c4e22da-4f3a-494f-ccb2-9e444bc38ad8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1418.4x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 460,
       "width": 1156
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(3,1,  figsize=(19.7, 7), sharex=True) #  plt.grid()\n",
    "sns.lineplot(x=Lake_Bilancino.index, y= \"Peil\", data=Lake_Bilancino, label=\"Lake Bilancino\",ax=ax[0] )\n",
    "ax[0].axis(xmin=0 ,xmax=15 ) # xlim( 0,)\n",
    "sns.lineplot(x=Lake_Bilancino.index, y= \"RainNO_3\", data=Lake_Bilancino, label=\"Rain NW\",ax=ax[1]) # ax=ax\n",
    "sns.lineplot(x=Lake_Bilancino.index, y= \"RainNO_2\", data=Lake_Bilancino, label=\"Rain NE\", ax=ax[2]) # \n",
    "plt.xticks(rotation=90); #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2010-01-01\" ),pd.to_datetime(\"2010-12-31\" ) ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "VuD_9-TeYnke",
    "outputId": "cd785575-32ea-41a6-f468-f2449fcdbb40"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1418.4x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 460,
       "width": 1156
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\", {'grid.linestyle': '--'})\n",
    "fig, ax = plt.subplots(3,1,  figsize=(19.7, 7), sharex=True) #  plt.grid()\n",
    "sns.lineplot(x=\"Date\", y= \"Flow_Rate\", data=Lake_Bilancino.loc[\"2008\"], label=\"Lake Bilancino\",ax=ax[0] )\n",
    "ax[0].axis(xmin=0 ,xmax=15 ) # xlim( 0,)\n",
    "sns.lineplot(x=\"Date\", y= \"RainNO_3\", data=Lake_Bilancino.loc[\"2008\"], label=\"Rain NW\",ax=ax[1]) # ax=ax\n",
    "sns.lineplot(x=\"Date\", y= \"RainNO_2\", data=Lake_Bilancino.loc[\"2008\"], label=\"Rain NE\", ax=ax[2]) # \n",
    "plt.xticks(rotation=90); #axe.setxaxis(rotation=90)\n",
    "plt.xlim(pd.to_datetime( \"2008-01-01\" ),pd.to_datetime(\"2008-12-31\" ) ); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "HXEIl_7nYnke",
    "outputId": "a14c21ec-9aea-42d0-de49-f1289cb093e5"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1512x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 297,
       "width": 1234
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1,  figsize=(21, 4)) \n",
    "sns.lineplot(x= \"Date\", y=\"Lake_Level\",data=Lake_Bilancino)\n",
    "plt.xticks(rotation=90); #\n",
    "plt.xlim(pd.to_datetime( \"2013-01-01\" ),pd.to_datetime(\"2015-01-01\" ) ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "G_e60E30Ynke"
   },
   "source": [
    "### Empty to full storage\n",
    "How much rain fall and time does it take to fill the lake completely?  \n",
    "Still, I might have to consider the impact of the lake outflow rate and the base flow, due to the ground water interaction. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "iPhQg0OCYnke",
    "outputId": "3b5e06b1-d0b4-4eed-da1c-297e3ff71408"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1272
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1,  figsize=(21, 4)) \n",
    "sns.lineplot(x= \"Date\", y=\"Rainfall\",data=Lake_Bilancino)\n",
    "ax2 = ax.twinx()\n",
    "sns.lineplot(x= \"Date\", y=\"Lake_Level\",data=Lake_Bilancino,ax= ax2 )\n",
    "plt.xticks(rotation=90); #\n",
    "plt.xlim(pd.to_datetime( \"2012-10-01\" ),pd.to_datetime(\"2013-02-01\" ) ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aj45l8YhYnkf"
   },
   "source": [
    "Storing water start date: 26/10/2012 243.53m ,0.6  m³/s lake outflow   \n",
    "Storing water completion date: 22/01/2013 252m, 11.37 m³/s lake outflow  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "vWqWM3mQYnkf",
    "outputId": "0c629051-348d-4dc5-8094-813096540739"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1260
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1,  figsize=(21, 4)) \n",
    "sns.lineplot(x= \"Date\", y=\"RainNO_3\",data=Lake_Bilancino)\n",
    "ax2 = ax.twinx()               \n",
    "sns.lineplot(x= \"Date\", y=\"Peil\",color=\"g\",data=Lake_Bilancino,ax= ax2 )\n",
    "plt.xticks(rotation=90); #\n",
    "plt.xlim(pd.to_datetime( \"2012-10-01\" ),pd.to_datetime(\"2013-02-01\" ) ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XxgGrQ8qYnkf"
   },
   "source": [
    "Storing water start date: 26/10/2012 243.53m , 0  mm rain  \n",
    "Storing water completion date: 22/01/2013 252m, 1828.2 mm rain  1.8282 m3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "_VtiTc7uYnkf"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"HG08\"]=Lake_Bilancino[\"2012-10-26\":\"2013-01-22\"][[\"RainNO_3\"]].cumsum() # "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "qKzztklLYnkf",
    "outputId": "07195fe4-197e-4a53-af5d-3a1bd0f2fd17"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EZHdybxThdEoOsvOLkJNfhJz8YmTna5CTX4SbmrI6tzPq0TAoHWxzkA0LASIiIiKyKwdPX8Znq+NQpr278fYd2niiewdfkaKyPBYCRERERGQ3TqVk49NVcdDqqi8CHBQyeDRxgZuLEs6OCjg7OsDJUVHp+6aNnNC3awBkMvNtHmZuLATsmKen7Wx4QdTQMR+JbAfz1Xady7iOWd8dNhYB3h4qdA/3hae7C7yausDL3QWe7i5wd3My6+7Ad8PBwQFarVactkRphWxSQECA1CEQ0S3MRyLbwXy1TZnXbmLaskMoKtEBADwaO2P2Sw+guYdK4sjqx9nZGWq1WpS2bHNmAxERERFRHWVfL8LUpQdRUFgKAHBzUWLGC91trggQGwsBO1ZYWIjCwkKpwyAiMB+JbAnz1bbcUJfgg28OICe/CADg5KjAh2PvQ4BvY4kjuzM6nU60tlgI2LGkpCQkJSVJHQYRgflIZEuYr7ZDU1yG6csPIfNa+VAaB4UMU57ritAAD4kju3NFRUWitcVCgIiIiIganDKtDrO/P4JzGfkAAJkMeHNYFCJDvaUNzIpwsjARERERNSg31CX44qdjOHkux3jspScj0KNTSwmjsj4sBIiIiIiowTh5LhtfrDmGvIJi47ERA0Mx8P5ACaOyTiwEiIiIiMjmaXV6/PhHEn7ZfQ6CcPv4kIfbIvrhYOkCs2IsBIiIiIjIpl3JKcTcH4/i7MV847Embo54bWgndAnzkS4wK8dCgIiIiIhs1u64DHz9yykUldzebffeYC+8MSwSHo2dJYzM+rEQsGOhoaFSh0BEtzAfiWwH89U6FJdosfiXk9gdl2k85qCQYeTAMDzeqw3kcpmE0ZmPi4uLaEuIshCwY66urlKHQES3MB+JbAfzVXrqojLMWH4IiRfyjMd8PV3x9ogotPVrKmFk5qdQKERryyyFwMaNGzF58mT8+OOP6Ny5c6X7rly5gt69e1f72MjISPz000+Vjl29ehWLFi1CTEwMsrOz4evri8GDB2Ps2LFwdHSs0kZBQQGWLl2KnTt34sqVK/D09ET//v3xyiuvwM3NTZQ+EhEREZHl3VCX4MNlB5GaecN47OEufnjh8Q5QOSsljMz2iF4IHD9+HDNnzqz2/oSEBABASEgIgoOrzuAODKy8tFNWVhaGDh2KrKwshIWFoX379jh27BgWLFiAQ4cO4bvvvoNSefuHrlarMWLECCQnJyMwMBC9e/dGfHw8VqxYgf3792Pt2rVo1KiRSL21benp6QCAgIAAiSMhIuYjke1gvkrnekEx3l96ABezbhqPjX08HIN7tJEwKssqLi6u/aQ6ErUQ2LFjByZPngyNRlPtOYmJiQCAMWPGYPDgwbW2OW3aNGRlZeG1117D+PHjAQAajQYvv/wyDhw4gFWrVuH55583nj9v3jwkJycjOjoa06dPh1wuh1arxZQpU7B582bMmzcPU6dOvcueNgw5OeWbbPCFjEh6zEci28F8lUb29SK8vyQGl3MKAZTvFPzKkHvRv5t9/Ry0Wm3tJ9WRXIxGsrKyMGnSJEyYMAF6vR6enp7Vnmu4ItC+ffta201LS8OePXvg7++PcePGGY+rVCp89NFHUCgUWL16tfF4QUEB1q9fDzc3N7zzzjuQy8u75+DggA8//BBNmjTBhg0baixUiIiIiMi6XMkpxLuL9huLALlchjefibK7IkBsohQC8+bNw+bNmxEeHo5169ahdevW1Z6bmJgIlUpVZQiQKf/88w8EQcBDDz1kfFNv0KJFC4SFheHSpUtISUkBAMTGxqK4uBj33XdflbkArq6u6N69O4qLixEbG3sHvSQiIiIiS8u4ehPvLtqPa9fLV8pxUMjw7rOd0TuylcSR2T5RCoHWrVtjzpw5WL9+PUJCQqo9Lz8/H5cvX0ZgYCBWrFiBwYMHo2PHjnjwwQcxdepUXL16tdL5hjf4bdu2rfZ5AeDs2bP1Oj85ObkevSMiIiIiKaRduoHJi/9BXkEJAMDRQY73n++G7h1aSBxZwyDKHIEXXnihTucZ5gfEx8fj7Nmz6NKlC3x8fHD69Gn8/PPP2L17N3744QfjG/Zr164BALy9vU225+XlBeD2WL3s7OxKx6s7Pzc3t07xEhEREZE0rt8sxvtLDuCmphQA4OyowAf/uw8dgqofgk71Y9F9BAzzA4KDg7F48WL4+fkBKJ/8O3XqVGzduhUTJ07Exo0bAcC4WYKzs+ld4QzHDWP+Df+6uLjU6XyxqdVqxMXFVTnu7+9vLEKys7Nx8eLFatuIiooyfp+YmFhtrJ6ensZJSoWFhUhKSqq2zdDQUOOax+np6cbCycAQs0qlQrt27aocN8Xa+2TAPrFPBtbeJ4OG1KeG+HNin8rZe59qisNW+2SNP6ftR/ONRYCrswOmvdAdguYq4uLSbbZPBub4Od0JUYYG1dWoUaOwc+dOrFy50lgEAOX/ybNmzULz5s0RHx+PEydOALi9YYJMVvPOcHq9/o7OJyKyFiqVCiqVSuowiIisQn6hFkdT1MbbbwyLRGiAh4QRNUwyQRAEsRsdOXIkjhw5YnJDsZpMmjQJmzdvxgcffIDhw4fj5Zdfxs6dO7Fs2TL07NmzyvmfffYZli9fjsmTJ2PUqFGYPXs2Vq5ciWnTpmHYsGFVzl+zZg2mT5+OZ599Fu+9995d9bGi5ORkqNVquLm51ThHgoiIiIhq99XPJ/Dn4fJP/kMCmuKzV3vU+kGvvRDzfadFrwjUxrDsqGFIkGFuQHWXawxzAgzn1fX86uYQEBEREZG0LueosTP29rCakQPbsQgwE4sWAgsXLsSECROqXbUnMzMTAODj4wPg9uo/htWA/i01NRUAjDsU1/V8fmpPREREZJ1+2pEMvb58wEpEkCc6tuUHuOZi0UIgOTkZO3bswPbt26vcl5ubi5iYGCiVSnTr1g0A0KNHDwDA7t27q4zrv3z5MhITE9GyZUsEBQUBALp06QJnZ2ccPHiwyqSLwsJCHDx4ECqVqtIEDXsWFxdX46QXIrIc5iOR7WC+mk/6lQLsPZ5pvD1yYLsazrZParW69pPqyKKFwNChQwEAK1asqJRAhYWFmDJlCtRqNZ566inj0B0/Pz/06NEDaWlpmD9/vvF8jUaD999/HzqdDqNHjzYeV6lUePzxx3Hjxg1Mnz7duAWzVqvFjBkzUFBQgKFDh1bZbIyIiIiIpPfjjiQYZq92btccofdwgrA5WXT50AcffBCjR4/GihUrMGLECERGRqJp06Y4evQorl+/js6dO+Odd96p9JgPP/wQw4YNw5IlS7Br1y4EBgbi2LFjyM7ORs+ePatMCn7jjTdw+PBhbNq0CXFxcQgLC0NCQgIyMjLQvn17vPrqq5bsMhERERHVwbmM6zh4+orxNq8GmJ/FJwu/++67mDdvHiIjI5GQkID9+/fDy8sLb7/9Nr7//vsqewD4+flh/fr1ePLJJ5GXl4c9e/agSZMmeOutt7Bw4UI4OFSuZdzd3bF27VqMHDkSWq0Wu3fvhlwux5gxY7By5UrjmrFEREREZD1Wb7+9Rv4DHVugdcsmEkZjH8yyfKi9sdXlQw3Dszhngkh6zEci28F8FV98Wi7eXfQPAEAuAxa+3Qd+zRtJHJV1Mvz+NbjlQ4mIiIjIvgiCgFXbE423e0f5sQiwEBYCRERERCSZ48nZiE/LBQAo5DIM6287oytsnUUnC5N18ff3lzoEIrqF+UhkO5iv4hEEAav+uH01oH+3APg043zOmjg5OaGkpESUtlgI2DHusExkPZiPRLaD+SqOkjIddhy8gJSMfACAo4McQ/sFSxuUDVAqlSwEiIiIiMi2aIrLEJd4DTGnL+No4lWUlOqM9/3ngUA0a+JSw6NJbCwE7Fh2djYAfrJBZA2Yj0S2g/laPzc1pYhNyMKBU1dwLPkayrT6Kuc0a+KMp/q0lSA621NWViZaWywE7NjFixcB8IWMyBowH4lsB/O1ejqdHheuFCD54nUkp5d/XcpWV3t+K2833B/RAo8+EIgmbk4WjNR2iTUsCGAhQERERCSa0jIdzqTmoqRMC70AQAD0ggAIgADh1rFb/0KAXl8+Ybb8sIDadncqf1j54w3nV3y8Xn+r3Yr3w3Ce+fqtKS7DuYx8nMvIR2mZrsZzA1s0xv0RLXB/B1/4+zQ2X1BUKxYCRERERCIoKdNh6pIDSLyQJ3UoVkUhlyGolTvu6+CL+yN80cLTTeqQ6BYWAkRERER3Sa8XMH/tcRYBADzdXRAS0BQh/k0REtAUbVq5w0mpkDosMoGFABEREdFdWvNnEvafuGS8fW+wF1ycHCCTATLIIJMB8vIb5bflt24Dt+8DIJOVn1sTwzky3G6zYttyuQyyW+0azjXcby4KuRz3+DZCsH9TrvxjQ1gIEBEREd2F3XEZWPfXWePtRx8IxLgnIySMiKhu5FIHQERERGSr4tNysWDdCePtyFBvjH0sXLqAiOqBVwTsWFRUlNQhENEtzEci22HI16zcQsz+/gi0uvJ18f19GmHSiM5QKPg5K5mPm5sb1Orql2StD/6mEhEREdWTuqgM05cfQkFhKQDA3c0JH/zvPri6KCWOjKjuWAgQERER1YNWp8eclbHIvFb+qazSQY73RndFcw+VxJER1Q+HBtmxxMREAEC7du0kjoSImI9EVWl1ehSX6mrcQMtc9HqgTKdDmVaPsjI9SrW3vtfqsXVvAk6cKzCe+/rTnRB6j4fZYiGqSKPRiNYWCwE7JuYvEhHdHeYj2TO9XsDVPA3SswqQfqUAF64UID3rJi5nq6HTm3E7XBE8MyAUPTu1kjoMsiP68u2jRcFCgIiIiCxOEAT8cfACdsZexMWsm+Wf/NuY3pGt8HS/YKnDILpjLASIiIjIogRBwIqtCfh1T0qt57o4OVTYIOv25ljlm2WZM0oZHJVyKB0U5f8q5HBUKqB0kKNQXQDvJkpMGHovZOYNgsisWAgQERGRxQiCgO9NFAHubk7w92mEe3wbI8C3MQJ8GsHfpzFcnKzvrUpcXBwAQOmgkDgSortjfdlFREREDZIgCFj5ewI2VigC7gv3wfinOqJpI2cJIyOyTywEiIiIyOwEQcAP2xLxy+7bRUC39j6YNLILlA5czZxICiwE7Jinp6fUIRDRLcxHasgEQcCq7YnYsOuc8Vi39j5451nbLAKYryQlBwcHaLVacdoSpRWySQEBAVKHQES3MB+poRIEAav/SML6v28XAV3DbLcIAJivJC1nZ2eo1WpR2mIhQERERGah0+nx05/J+HnnWeOxLmHN8e5znW22CCBqSFgI2LHCwkIAgKurq8SREBHzkayJXi9AXVSGgsISFBSWQq0pQ1GJFsWlOpSUaVFSqkNxqQ7FpeXfF5VoUVhUBk2xFoXFZbe+L0NRSeW9ATq3a47Jz3Wx+dV2mK8kJZ1OvD03WAjYsaSkJABAVFSUxJEQEfORzEWr0+Ovw+k4k5oLnV6AAAGCUD5kRxAA/a1/i0q0uKE2vPEvhdgb+nZu1xxTRtl+EQAwX0laRUVForXFQoCIiKiBSjifi8UbTiI966Ykzy+TASpnJXp1aon/DQ5vEEUAUUPCQoCIiKiBuaEuwcrfE/DXkYt33IarswMauzqhsasj3FRKuDg5wNnRAc6OCjg5KuB063tnRwWcnRzg6qKEq7MSKufb3xt2BSYi68RCgIiIqIHQ6wXsjL2I77cm4Kam1Hjc2VGBp/q0RQsvN8hlMshkuPUlgwzl/7o4OaCxq+OtN/6OnMxLZAdYCBARETUAF64UYPGGk0i8kFfpePcOvhj7WAd4NXWRKDIislYsBIiIiCwgJTMfa/9MxrXrGuj1AvSCAJ2u/F+9XjAe0+sBnb7C8Qr31zR/V/+v2b3eHiq8+EQHdA3zMW/HiMhmsRAgIiIys33HMzF/7XGUavVmfy4HhQxP9A5CdN9gODvyzzwRVY+vEHYsNDRU6hCI6BbmY8Ok1wtY/UdipV11zUUuAzq29cLYxzvAr3kjsz+fPWO+kpRcXFxEW0KUhYAd40YoRNaD+djwaIrLMPfHOMQmXDUea+nlhpeHdEQjlSPkMkAul5V/ycr/VVT4Xm7q+5oW4JGVP57Mj/lKUlIoxFuGl4UAERGRyC7nqDHru8PIuKo2HosK9cbbIzrD1UUpYWRERLexELBj6enpAICAgACJIyEi5mPDceLsNcz54SjURWXGY/99KAgj/xPGT+wbCOYrSam4uFi0tlgI2LGcnBwAfCEjsgbMR9uQV1CMXUczoNaUQi8AgiBAEAAB5f8Wl2jx99EM4wo+Sgc5Xo2+Fw9F+UkcOYmJ+UpS0mq1orXFQoCIiKiOPv8xDqdScup0rkdjZ7w3uiuC/ZuaOSoiojvDQoCIiKgOikq0OJ1atyIg2N8dU0Z1RbMm3MSLiKyXWQqBjRs3YvLkyfjxxx/RuXPnKvfv3bsXP/zwA06fPg2NRgMvLy/06NED48ePh49P5Y1PtFotOnXqhNLS0irtAEDz5s2xb9++SscKCgqwdOlS7Ny5E1euXIGnpyf69++PV155BW5ubuJ1lIiI7EbapRsQbu3Z5enugv97IBAymQwyGW59ySAD0MzdBV3DmkPpIN7KHkRE5iB6IXD8+HHMnDmz2vu/+eYbfP7555DL5YiIiECzZs2QmJiIdevW4a+//sLq1avRpk0b4/kpKSkoLS2Fv78/OnbsWKU9d3f3SrfVajVGjBiB5ORkBAYGonfv3oiPj8eKFSuwf/9+rF27Fo0acX1lIiKqn9TMfOP3EUGe+G+fttIFQ0QkAlELgR07dmDy5MnQaDQm709JScGXX34JlUqF7777Dp06dQIAlJWVYfbs2VizZg2mTJmCdevWGR+TmJgIAHjyySfx0ksv1RrDvHnzkJycjOjoaEyfPh1yuRxarRZTpkzB5s2bMW/ePEydOlWE3hIRkT1JqVAItGnVRLpAiIhEIhejkaysLEyaNAkTJkyAXq+Hp6enyfM2b94MvV6P0aNHG4sAAFAqlZgyZQo8PDxw4sQJXLp0yXhfQkICAKB9+/a1xlFQUID169fDzc0N77zzDuTy8u45ODjgww8/RJMmTbBhw4ZqCxV7o1KpoFKppA6DiMB8tAUVC4GgVu6SxUHSY76SlAzvb0VpS4xG5s2bh82bNyM8PBzr1q1D69atTZ6nVCoREhKCLl26mLyvVatWAIBr164ZjxuuCISHh9caR2xsLIqLi3HfffdVmQvg6uqK7t27o7i4GLGxsXXuW0PWrl07tGvXTuowiAjMR2tXVKJF5rXyzcHkMqB1C14RsGfMV5KSmEWoKEODWrdujTlz5mDw4ME1VikTJkzAhAkTTN6n0WiQkpICAMYJw4IgIDExEV5eXvj777+xbt06pKamwsnJCffffz9eeeWVSkWH4fFt25oet2k4Nzk5Gb169ap/R4mIyC5VnCjcqnkjODtx0T0isn2ivJK98MILd93GsmXLoNFo0KFDB/j6+gIAMjIyoFaroVar8cEHHyAyMhLdunVDYmIifv/9d+zZswfLli1DVFQUACA7OxsA4OXlZfI5DMdzc3PvOl5T1Go14uLiqhz39/c3Pnd2djYuXrxYbRuGvgDlV0OqG8bk6elp3MiksLAQSUlJ1bYZGhoKV1dXAOW7IRo2Qvk3lUpV6RMOU30xYJ/YJ4B9Yp/sp0+Hkm4avw9q5d4g+gQ0vJ8TwD6xT/bbpzthFR9p7N27F0uXLoVcLsfbb79tPG6YH9C8eXMsXbrU+IPQarX4/PPP8d133+GNN97AX3/9BScnJ+N/oouL6XWbnZ2dAYBzBIjI6hj+uPj7+0scCZlyOa/M+D0nChNRQyETBMPFTvGMHDkSR44cqXYfgYr27NmDCRMmoKSkBG+99ValqwuCICArKwtyuRzNmzev9Di9Xo+nnnoK8fHx+OKLL/Doo49i6tSp+Pnnn/HJJ5/giSeeqPJchv0NnnrqKXz00UfidBblQ43UajXc3NwQEhIiWrvmZnjjUbEqJSJpMB+t2/hPdyHjavlVgTmvPIiwwGYSR0RSYr6SlAy/f2K87xRv2vEd2LBhA15++WWUlJTglVdeqTLESCaTwdfXt0oRAJTPmDaM8z9z5gyA21cCiouLTT6f4Thn+hMRUV2VTxQuLwI4UZiIGhLJhgZ9+eWXWLJkCWQyGSZPnoxRo0bVuw3DMqWGN/je3t4AUO04r9rmEBAREf0bJwoTUUNl8VczQRDw/vvvY8OGDXB0dMScOXPwn//8x+S5P/74I2JjYxEdHY3777+/yv2ZmZkAbq8yZFgtyLB60L+lpqYCgE0N3yEiImmlcv8AImqgLF4IfPLJJ9iwYQPc3Nzw9ddfo2vXrtWem5GRge3bt0OpVFYpBEpKSrBjxw4AwIMPPggA6NKlC5ydnXHw4EFoNJpKQ4AKCwtx8OBBqFQqjukjIqI6447CRNRQWXSOwL59+/D999/DwcEBS5curbEIAICnnnoKCoUCW7ZsMb7pB4CysjLMnDkTly5dQs+ePY27DqtUKjz++OO4ceMGpk+fDq1WC6B8laEZM2agoKAAQ4cOrbLZGBERUXVSMm8Yv+cVASJqSCx6RWDBggUAgGbNmmHt2rVYu3atyfNeeukltGnTBkFBQXj33Xcxe/ZsTJgwAR06dECLFi1w8uRJZGVloXXr1vjkk08qPfaNN97A4cOHsWnTJsTFxSEsLAwJCQnIyMhA+/bt8eqrr5q9n7aCyxQSWQ/mo3UqKtHiEicK078wX0lKTk5OKCkpEaUtixUC+fn5OH36NADg6tWr2LJlS7XnDhkyBG3atAEAPPvss2jbti2WL1+OU6dOITk5GS1atMC4cePwwgsvGDeDMHB3d8fatWuxcOFC7Ny5E7t374avry/GjBmDcePGVTnfnnHSNJH1YD5ap7RLN6DnRGH6F+YrSUmpVIpWCJhlHwF7Y6v7CBARUc1+25eKZZvLl6ju09kPbwyLlDgiIrJ3Yr7vlHQfAZJWdna2cUlVIpIW89E6caIwmcJ8JSmVlZXVflId8RqnHbt48SIAXuIksgbMR+vEicJkCvOVpCTWsCCAVwSIiIhM4kRhImroWAgQERGZwInCRNTQsRAgIiIygTsKE1FDx0KAiIjIBE4UJqKGjoUAERGRCZwoTEQNHQsBIiKifynmRGEisgOc+WTHoqKipA6BiG5hPlqXtMu3Jwq39OZEYaqM+UpScnNzg1qtFqUtXhEgIiL6l5SMfOP3bf3cJYuDiMicWAgQERH9CycKE5E9YCFgxxITE5GYmCh1GEQE5qO14URhqgnzlaSk0WhEa4uDHu2YmL9IRHR3mI/WgxOFqTbMV5KSXq8XrS1eESAiIqqAE4WJyF6wECAiIqqg4vwAThQmooaMhQAREVEFFVcM4kRhImrIWAgQERFVwInCRGQvWAgQERHdwonCRGRPOAPKjnl6ekodAhHdwny0DpwoTHXBfCUpOTg4QKvVitOWKK2QTQoICJA6BCK6hfloHQ6evmL8nhOFqTrMV5KSs7Mz1Gq1KG1xaBARERGA/ccvYdPeVOPtiCB+6ktEDRsLATtWWFiIwsJCqcMgIjAfpXYu4zrmrT1mvB0Z4o3eka0kjIisGfOVpKTT6URri4WAHUtKSkJSUpLUYRARmI9SyisoxkcrjqBUW75bZ0svN7w9sjMUCv6JJNOYrySloqIi0driqxwREdmtkjIdPlpxGLk3igEAri5KTP1fN7i5KCWOjIjI/FgIEBGRXRIEAQt/PoGzF/MBAHK5DO+M7IyWXm7SBkZEZCEsBIiIyC79sjsFe45lGm+PGRyOTiHeEkZERGRZLASIiMjuHInPwg/bEoy3B9wXgP97MFDCiIiILI/7CBARUYMhCAK0Oj1KSnUo0+lRptVDq9NDq9VDqyu/L/9mCeb+eBTCrY3D2rduhhefiIBMJpM2eCIiC2MhQEREVkUQBJSU6XCzsAz56mJcv1mCfMOX+vb36qJSlJbpUFJW/sa/VKtDaZnO+Aa/Lrw9VJj8XBcoHXiBnIjsDwsBOxYaGip1CER0i73lY0mZDn8dTsf5ywW4qSkt/yosxU1NGW5qSlF2aylPc3JxUuCD57uhiZuT2Z+LGhZ7y1eyLi4uLqItIcpCwI65urpKHQIR3WJP+Xg5W41PfojF+csFZmnfQSGHk1IOpVIBB4UcSoUcDg4yOCjkxi9XFyX++1AQAnwbmyUGatjsKV/J+igUCtHaYiFAREQW88/JS1iw7gSKSrQ1nuegkKOxqxJN3Jzg7uaEpo2d4e7mBPdGt77cnNDI1RHOjgo4KhVwUpb/66hUQCHnWH8iorpgIWDH0tPTAQABAQESR0JEDT0fy7R6fLflDLb+c954TOkgR3TfYPh5N4KbSolGKsdbX0o4OSo4eZesVkPPV7JuxcXForXFQsCO5eTkAOALGZE1aMj5eDVPg09XxRo37gIA32aueOfZzmjTyl2yuIjuVEPOV7J+Wm3NV1Trg4UAERGZzZGELHy55hjURWXGY907+OK1oZ3g6qKUMDIiImIhQEREosq9UYST53IQl3QV+45fMh5XyGV4flB7DOrRmsN+iIisAAsBIiK6KzfUJTiTmouTKdk4dS4bl7ILq5zj6e6Cd57tjNAADwkiJCIiU1gIEBFRnQiCgLyCYly4UoD0KzeRnlWAtEs3cOFKzcuAdm7XHG8Mi0RjV0cLRUpERHXBQoCIqAETBAHJ6ddxJbcQglB+2/CvXgCA8n/1eqH8SxCqfJ9XUIz0rJtIv1JQaax/dZQOcrS7xwMd23rh3mAvtPVz51AgIiIrxELAjqlUKqlDIKJbzJWPf8dexPx1J8zStoFcLkOIf1NEBHkioq0nQgM84KgUb8MbImvDv58kJblcDr1enN3XzVIIbNy4EZMnT8aPP/6Izp07V7n//Pnz+OqrrxAXF4f8/Hz4+/sjOjoaw4cPh1wur3L+1atXsWjRIsTExCA7Oxu+vr4YPHgwxo4dC0fHqpeaCwoKsHTpUuzcuRNXrlyBp6cn+vfvj1deeQVubm7m6LJNateundQhENEt5srH3/anidqeytkBAT6NEeDbGPf4NEKAb2O0btkEKmeuAET2g38/SUoqlQpqtVqUtkQvBI4fP46ZM2dWe39SUhKGDx8OtVqNyMhIdOjQAYcPH8asWbNw8uRJzJ07t9L5WVlZGDp0KLKyshAWFob27dvj2LFjWLBgAQ4dOoTvvvsOSuXtP0BqtRojRoxAcnIyAgMD0bt3b8THx2PFihXYv38/1q5di0aNGondbSIiq5OeVYDzl8vH7ysd5HigYwvIbw3RkctkkMkA2a1/5TIZ5PLyL4VcVum2yskB/rfe9Hu5u3CYDxFRAyFqIbBjxw5MnjwZGo3G5P2CIGDSpElQq9X49NNP8dhjjwEA8vLyMGrUKGzZsgX9+vXDgAEDjI+ZNm0asrKy8Nprr2H8+PEAAI1Gg5dffhkHDhzAqlWr8PzzzxvPnzdvHpKTkxEdHY3p06dDLpdDq9ViypQp2Lx5M+bNm4epU6eK2W0iIqtUcenOru198NYzURJGQ0RE1qbqOJw7kJWVhUmTJmHChAnQ6/Xw9PQ0eV5MTAySk5PRtWtXYxEAAB4eHpg2bRoAYNWqVcbjaWlp2LNnD/z9/TFu3DjjcZVKhY8++ggKhQKrV682Hi8oKMD69evh5uaGd955xzjMyMHBAR9++CGaNGmCDRs2VFuo2Ju4uDjExcVJHQYRQfx8FAQBe49lGm/36tRKtLaJ7B3/fpKUxBoWBIhUCMybNw+bN29GeHg41q1bh9atW5s8b//+/QCAvn37VrkvMjISzZo1Q1xcnLGD//zzDwRBwEMPPVRl7kCLFi0QFhaGS5cuISUlBQAQGxuL4uJi3HfffVXmAri6uqJ79+4oLi5GbGzsXfeZiMiaJadfx9W88g89XJ0d0Lmdt8QRERGRtRGlEGjdujXmzJmD9evXIyQkpNrzDG/Yg4ODTd4fGBgIvV6P1NTUSue3bdu22ucFgLNnz9br/OTk5Br7Q0Rk6ypeDbg/ogWUDlzFh4iIKhNljsALL7xQp/OuXbsGAPDy8jJ5v+F4Tk5OpfO9vU1/kvXv87Ozs+vUfm5ubp3iJSKyRTqdHvtP3p4f0CuSw4KIiKgqi+4jUFRUBABwdnY2eb/huGEMf33PN/zr4uJSp/PFplarTY4Z9Pf3NxYh2dnZuHjxYrVtREXdnsyXmJhYbayenp4ICAgAABQWFiIpKanaNkNDQ+Hq6goASE9PNxZOBoaYVSpVpSXRahr/aO19MmCf2CcDa++TgRh9SrlcjBvqUgCAR2MntPZxqfH5+XNinwD2qT59qikOW+1TQ/w52Vuf7oQoQ4PqSqEovzRd29Jzhk0SzH0+EVFDdDr99h+UHve2glzO5T6JiKgqmSAIgtiNjhw5EkeOHKmyodjjjz+OxMREbNu2DW3atKnyuNdffx3bt2/HokWL0LdvX7z88svYuXMnli1bhp49e1Y5/7PPPsPy5csxefJkjBo1CrNnz8bKlSsxbdo0DBs2rMr5a9aswfTp0/Hss8/ivffeE62/ycnJUKvVcHNzq3GOhLUxVLUVq1IikoZY+VhSpsPID7ejqEQHAPji9Z5o69f0ruMjotv495OkZPj9E+N9p0WHBnl7eyMxMRE5OTkmC4F/j/E3zA2o7nKN4XzDeXU9v7o5BPam4nAEIpKWWPkYm5BlLAJaerkiqJW7KO0S0W38+0lScnJyQklJiShtWXRokGE1H8PqPhUJgoC0tDQoFApjkVDT+QCMqwsZViGq6/m29Km9OXl5ebEoIrISYuXjv/cO4C7AROLj30+SklKpFK0tixYCPXr0AAD8/fffVe47duwY8vLyEBUVZdwDwHD+7t27q4zrv3z5MhITE9GyZUsEBQUBALp06QJnZ2ccPHiwyqSLwsJCHDx4ECqVipfyiKhBUmtKcTTxmvF2T64WRERENbBoIdC1a1e0bdsWMTEx+Pnnn43H8/LyMH36dADA6NGjjcf9/PzQo0cPpKWlYf78+cbjGo0G77//PnQ6XaXzVSoVHn/8cdy4cQPTp0+HVqsFAGi1WsyYMQMFBQUYOnRolc3G7FV2drZxuBQRSUuMfDxw+gq0uvIPTYL83NHSi691RObAv58kpbKyMtHasugcAblcjtmzZ+O5557D1KlTsWHDBnh7e+PIkSO4ceMGoqOj0adPn0qP+fDDDzFs2DAsWbIEu3btQmBgII4dO4bs7Gz07NmzyqTgN954A4cPH8amTZsQFxeHsLAwJCQkICMjA+3bt8err75qyS5bNcOyVry8SSQ9MfLx38OCiMg8+PeTpCTW/ADAwlcEACAiIgLr16/HgAEDkJ6ejpiYGLRo0QLTp0/HtGnTqpzv5+eH9evX48knn0ReXh727NmDJk2a4K233sLChQvh4FC5lnF3d8fatWsxcuRIaLVa7N69G3K5HGPGjMHKlSuNa8YSETUkuTeKcDq1fKEEmQzocW8LiSMiIiJrZ5YrAqtWrarx/qCgICxYsKDO7fn6+uLjjz+u8/nu7u54//338f7779f5MUREtmz/iUswLAbdoY0nmjUxvbEiERGRgcWvCBARkfgqDQviJGEiIqoDFgJERDYu89pNpGTeAAA4KOS4v4OvxBEREZEtYCFARGTj9h2/ZPy+cztvuKkcJYyGiIhshUVXDSIiortXXKrFlZxCXMpW49I1NXYcSjfex2FBRERUVywE7Bg3ViOyHjXl44UrBfjrSDouXrmJSzlqZF8vMnmei5MDuoT5mCtEIrqFfz9JSm5ublCr1aK0xUKAiMhKZVy9iZ/+TMY/J2+vCFST/9x/D5yUCvMHRkREDQILASIiK3M5R421fyZj77FM6E0UAHK5DM09VGjp5Vb+5e2GwBaNEeLf1PLBEhGRzWIhYMcSExMBAO3atZM4EiJKTExE3s0yxJ3X4e+jGdD/qwLo1t4HD3fxRytvN/g0c4XSgWs9EEmFfz9JShqNRrS2WAjYMTF/kYjozpVpdfhl32XEpqih11e+LzLUG8MHhCKYn/YTWQ3+/SQp6f/9h+IusBAgIpKQXi9g3k/Hcfhs5YlfEUGeGPFIO7QL9JAoMiIiauhYCBARSWjl7wnYd+L2PgBhgR4Y8Ug7dAjylDAqIiKyBywEiIgksmV/GjbuSTHe7tLWFVNffBAymUzCqIiIyF5wthkRkQQOnLqMZZtPG2+HtHLGwCh3FgFERGQxvCJARGRhCedz8fmPcca9AUICmuK/3Vwgl7MIICIiy2EhYMc8PTkGmcjSMq/dxKzvDqNUW77qQwtPV0x9vhvyc7MkjoyI6op/P0lKDg4O0Gq14rQlSitkkwICAqQOgciuXC8oxofLDuGmpgwA0MTNEdPGdkcTNyc0cWM+EtkK/v0kKTk7O0OtVtd+Yh1wjgARkQUUlWgx/dtDuJZXvv64k6MCH/zvPvh6ukocGRER2SteEbBjhYWFAABXV74RITKHgsJSnDyXjePJ13A8+RpybhQDAOQy4J2RnSttEsZ8JLIdzFeSkk6nE60tFgJ2LCkpCQAQFRUlcSREDUOZVofEC3k4cbb8zX/qpRvGCcEVvfTfjugS5lPpGPORyHYwX0lKRUVForXFQoCIqI5SMvIRm3gVBYUlUGvKUKAphVpTipuFZbipKUVhcZnJN/4GKmcHjHikHR7pfo/FYiYiIqoOCwEiojq4lqfBpIX7UXZrtZ+6kMtlCPZzR6cQb9wb7IVg/6ZwUHBqFhERWQcWAkREdXAo/kqdigBfT1fcG+yFTsFe6BDkBTcXpQWiIyIiqj8WAkREdXDqXI7x+4eiWuHeYC80UjmWf7k6ws1FCTeVIxTcFIyIiGwECwEiolrodHqcSb1dCET3DUYr70YSRkRERHT3OFiViKgWqZduoLC4fBdHj8bOaOnlJnFEREREd49XBOxYaGio1CEQ2YST57KN33ds6wmZTPzhP8xHItvBfCUpubi4iLaEKAsBO8aNUIjqpuL8gI5tvczyHMxHItvBfCUpKRQK0dri0CAiohqUlumQcD7XeDsiyDyFABERkaWxELBj6enpSE9PlzoMIquWlJ6H0lvLhrbwdIVXUxezPA/zkch2MF9JSsXFxaK1xULAjuXk5CAnJ6f2E4ns2EkLDAsCmI9EtoT5SlLSarWitcVCgIioBqcqTRTmsCAiImo4WAgQEVVDU1yGsxn5xtvhbZpJFwwREZHIWAgQEVXjTFou9HoBANC6RRM0cXOSOCIiIiLxsBAgIqpGxWVDI9p6ShgJERGR+FgIEBFV4yTnBxARUQPGDcXsmEqlkjoEIquVf7MEF64UAAAUchnatzbv/ADmI5HtYL6SlORyOfR6vShtsRCwY+3atZM6BCKrdTrl9rCgYP+mcHEy78sl85HIdjBfSUoqlQpqtVqUtjg0iIjIhJMpHBZEREQNGwsBIiITTlXaSIwThYmIqOFhIWDH4uLiEBcXJ3UYRFbnWp4GV3ILAQCOSgVCApqa/TmZj0S2g/lKUhJrWBAgwRyBkJCQOp33ww8/oFu3bgCAK1euoHfv3tWeGxkZiZ9++qnSsatXr2LRokWIiYlBdnY2fH19MXjwYIwdOxaOjo53HD8RNXwVVwtqH+gBpYNCwmiIiIjMw+KFwKBBg6q97+LFizh58iQaNWoEPz8/4/GEhAQA5UVEcHBwlccFBgZWup2VlYWhQ4ciKysLYWFhaN++PY4dO4YFCxbg0KFD+O6776BUKkXqERE1NKdSKg4L4vwAIiJqmCxeCMydO9fkcY1GgyeffBIymQyff/45WrRoYbwvMTERADBmzBgMHjy41ueYNm0asrKy8Nprr2H8+PHG9l9++WUcOHAAq1atwvPPPy9Cb4iooREEgfsHEBGRXbCaOQKzZ8/G+fPnMWLECPTq1avSfYYrAu3bt6+1nbS0NOzZswf+/v4YN26c8bhKpcJHH30EhUKB1atXixs8ETUYGVdv4vrNEgCAq4sSgS2bSBwRERGReVhFIXDq1Cls2LABvr6+ePPNN6vcn5iYCJVKVWUIkCn//PMPBEHAQw89BLm8cvdatGiBsLAwXLp0CSkpKaLFT0QNx8kKqwVFBHlCIZdJGA0REZH5WEUhMHv2bAiCgIkTJ1bZrS8/Px+XL19GYGAgVqxYgcGDB6Njx4548MEHMXXqVFy9erXS+YY3+G3btjX5XK1btwYAnD171gw9ISJbd6ri/gFBXDaUiIgaLsl3Ft63bx+OHz+OoKAgPProo1XuN8wPiI+Px9mzZ9GlSxf4+Pjg9OnT+Pnnn7F792788MMPxjf4165dAwB4e3ubfD4vr/Lxvjk5OSbvtyf+/v5Sh0BkVXR6AadTc423Iyw4P4D5SGQ7mK8kJScnJ5SUlIjSluSFwMqVKwEAL7zwAmSyqpfgDfMDgoODsXjxYuNqQhqNBlOnTsXWrVsxceJEbNy4EQBQVFQEAHB2djb5fIbjGo1G3I6gfF1XU+sK+/v7GwuQ7OxsXLx4sdo2oqKijN8nJiZWG6enpycCAgIAAIWFhUhKSqq2zdDQULi6ugIA0tPTqxRBhnhUKlWlbdNrWiPZ2vtkwD6xTwZ16VNqZj4Ki8oAAG4uclzNSMa1zMqvS7bWJ6Dh/ZwA9ol9krZPhjZNtW2rfWqIPyd769OdkLQQSEtLQ0xMDFq0aIH/+7//M3nOqFGj0L9/f7i6usLDw8N4XKVSYdasWYiNjUV8fDxOnDiBe++9FwpF+XrfpoqKivR6vXgdIaIGoeKyoa2bO9f6OkJERGTLZIIgCFI9+eLFizF//ny8+OKLJicJ18WkSZOwefNmfPDBBxg+fDhefvll7Ny5E8uWLUPPnj2rnP/ZZ59h+fLlmDx5MkaNGnWXPSiXnJwMtVoNNze3Om+YZg2ys8vHQhuqVyJ7N3XJAZy4tXToa0M7oW9Xy13+Zz4S2Q7mK0npzJkzKCkpEeV9p6RXBHbu3AkAJucG1JWnZ/lkPsOQIMPcgOou8RiSt7o5BPbEcMmKL2REwPWCYpxKlW4jMeYjke1gvpKUxJofAEi4alBubi7i4+Nxzz331FjNLFy4EBMmTEBycrLJ+zMzMwEAPj4+AG6vFlTd8qCpqakAYHKHYiKyX3uOZUKvL79A2r51M3g1dZE4IiIiIvOSrBA4deoUAKBTp041npecnIwdO3Zg+/btVe7Lzc1FTEwMlEolunXrBgDo0aMHAGD37t1V5gFcvnwZiYmJaNmyJYKCgsToBhE1AIIg4O/Y25O6Hu7sJ2E0REREliFZIXDmzBkAQHh4eI3nDR06FACwYsWKSjO1CwsLMWXKFKjVajz11FPGy3N+fn7o0aMH0tLSMH/+fOP5Go0G77//PnQ6HUaPHi12d4jIhqVm3kB61k0AgJOjAg90bCFxREREROYn2RwBw5Aewxj/6jz44IMYPXo0VqxYgREjRiAyMhJNmzbF0aNHcf36dXTu3BnvvPNOpcd8+OGHGDZsGJYsWYJdu3YhMDAQx44dQ3Z2Nnr27Ilhw4aZrV9EZHt2Vrga8EBEC6iclRJGQ0REZBmSFQJ5eXkAgMaNG9d67rvvvouOHTti9erVSEhIgF6vh7+/P8aMGYPnnnsOSmXlP9p+fn5Yv349FixYgH379iE9PR1+fn549tln8dxzz8HBQfLtE4jISpRpddh7LNN4++EuHBZERET2QbJ3xMuWLavX+QMHDsTAgQPrfL6vry8+/vjj+oZFRHbmSPxVqG9tIubd1AXhrWu+SklERNRQ8KNxO1ZxVzsie1VxWFCfzv6Qy6XZRIz5SGQ7mK8kJTc3N6jValHakmyyMBGR1PIKinEs6arxNocFERGRPWEhQER2a09cBm5tHYDwNs3g08xV2oCIiIgsiIWAHUtMTERiYqLUYRBJQhAE7IzNMN5+uLO/hNEwH4lsCfOVpKTRaERri3ME7JiYv0hEtuZcRj4yrpbvHeBsBXsHMB+JbAfzlaT07w1z7wavCBCRXaq4k/D9ES3g4sTPRYiIyL6wECAiu1NapsPe45eMt/t2lXZYEBERkRRYCBCR3Tkcn4XCW3sHNPdQoX1gM4kjIiIisjwWAkRkdyoOC3q4s59kewcQERFJiYUAEdmV3BtFOJ58zXj7oc7cO4CIiOwTZ8fZMU9PT6lDILK43XGZxr0DIoI8rWbvAOYjke1gvpKUHBwcoNVqxWlLlFbIJgUEBEgdApFFCYJQeViQFe0kzHwksh3MV5KSs7Mz1Gq1KG2xECCiBqe0TIereRpcySnEldxCZOUU4nJuYfntnEIAgIuTAvd3kHbvACIiIimxELBjhYXlb4hcXa1jaATRnbp2XYOE83lISMtFwvlcXLx6E4JQ82Puj2gBZyvaO4D5SGQ7mK8kJZ1OJ1pb1vNXkCwuKSkJABAVFSVxJGSNBEFA5jU1ikrEGYcoJr1eQNrlG4hPy0XC+Tzk5BfV6/H3+DbGsP6hZoruzjAfiWwH85WkVFRUv795NWEhQERGJWU6nDyXjSPxWYhNuIq8gmKpQ7ojchng1VQF32au8PF0hW8zV/h6quDr6QYfD5VVXQkgIiKSCv8aEtm5vIJixCZk4Uj8VZw4l43SMvEuOVqKs6MCoQEeCGvdDGGBHgj2bwoXvtknIiKqEf9SEt2lkjIdftuXiphTl1FcooNeEKDXC7f/vfV9bWPWpSAIwE1NabX3u7ko4eNpnWNgmzdVISzQA2GBzRDYojEUCm6LQkREVB8sBIjukCAI+OfEZaz4PR7Z18Ubrye1ll5u6NbeB13b+yA0oCnfYBMRETVQLASI7sC5jOtYtukMEi/kSR3KXZPLZWgf2Axd2zdH1zAftPBykzokIiIisgAWAkT1kHujCKu2J+Lv2IxKxxu7OmLEI6EIb+MJuVwGuUxW4V8Yv7dGTo4KODvypYCIiMje8K+/HQsNta7lE62ZXi/gl93n8PPOsyguvT2Z1kEhw/892BpP9wuBq4tSwgjJ1jEfiWwH85Wk5OLiItoSoiwE7Bg3Qqm7dTvPYs2OpErHurX3wfOD2nMoDYmC+UhkO5ivJCWFQiFaWywEiGpRUFiKX/ecM94O8GmEsY91QMdgLwmjIiIiIro7LATsWHp6OgAgICBA4kis2+Z9qSgqKR8O5Ne8Eea/2Zsr6ZDomI9EtoP5SlIqLhZvs0++m7FjOTk5yMnJkToMq3ZTU4ot+9OMt4f1C2ERQGbBfCSyHcxXkpJWqxWtLb6jIapB+dWA8oTza+6G+zu2kDgiIiIiInGwECCqhrqorNLVgOi+IVDIrXMJUCIiIqL6YiFAVI0t+1KhKS6/GtDSyw097m0pcURERERE4mEhQGRCYVEZNle4GjC0XzCvBhAREVGDwkKAyIQt/6ShsKgMANDC0xU9eTWAiIiIGhguH2rHVCqV1CFYJU1xGTbvTTXeHtovmCsFkdkxH4lsB/OVpCSXy6HX60Vpi4WAHWvXrp3UIVilLf+kQX3raoCvpyt6dWolcURkD5iPRLaD+UpSUqlUUKvVorTFjzmJKvj31YDoh3k1gIiIiBomvsMhquD3mPO4qSm/GuDTTIWHong1gIiIiBomFgJ2LC4uDnFxcVKHYTWKSrT4dQ+vBpA0mI9EtoP5SlISa1gQwDkCZId0egF6vR5anQCdTg+dXoBWp8eOQ+m4qSkFADT3UOGhzn4SR0pERERkPiwEyOISz+fh+NlrKCrRoqRUh+JSLUrKdCgu1aGkVIeSUi20OgEAoBcECIIAQcDtf2tpX68XoNOXv8nX6m696dffftMv1NYAgCEPB8OBVwOIiIioAWMhQBaVkpGPyYv/gU5fh3fjEvFu6oI+vBpAREREDRwLAbIYQRCw/LczVlEEOChkUCjkcJDLIJfLy2/LZWjSyAljBodD6cCrAURERNSwSVYIbNq0Ce+88061948bNw5vvPGG8fbp06exaNEinD59GhqNBkFBQXj22WcxaNAgk48/f/48vvrqK8TFxSE/Px/+/v6Ijo7G8OHDIZfzTZ4UDp25gvi0XACAQi7DMwNC4eqihJNSAWcnBZwdHeCkVMDJUQEHhRwyGSCTySCTAXKZDAAgl8sgq+V5ZDIZFLfe2Dso5FDIb73pV5S/6VfIa2uBiIiIqOGTrBBITEwEADzwwAPw8PCocn/FzTpiYmLw4osvQq/Xo0uXLnBxccHBgwcxceJEpKSkVCoYACApKQnDhw+HWq1GZGQkOnTogMOHD2PWrFk4efIk5s6da97OURVlWj1WbE0w3n70gUBE9w2WMCIiIiIi+yZZIZCQUP6m8OOPP0bz5s2rPa+4uBhvv/02AOC7777DfffdBwC4ePEiRo4ciSVLlqBfv34IDw8HUD78ZNKkSVCr1fj000/x2GOPAQDy8vIwatQobNmyBf369cOAAQPM2T2b4O/vb7Hn2nbgPK7kFAIA3FyUeLp/iMWem8gWWDIfiejuMF9JSk5OTigpKRGlLcnGyCQlJcHT07PGIgAANm/ejNzcXAwaNMhYBADlSThx4kQAwKpVq4zHY2JikJycjK5duxqLAADw8PDAtGnTqpxvz7y8vODl5WX257mpKcXaP5ONt4f2C0EjlaPZn5fIllgqH4no7jFfSUpKpVK0tiQpBDIyMlBQUID27dvXeu7+/fsBAA8//HCV+x566CEoFArs27evyvl9+/atcn5kZCSaNWuGuLg4UTdjoJqt/TMZ6qLy3Xp9PV3x6AOBEkdERERERJIUAob5Ac2aNcPMmTPRr18/dOjQAQMGDMCiRYsqXe44d+4cACA4uOp4cjc3N3h7eyMvLw85OTkAgJSUlGrPB4DAwEDo9XqkpqaavN+eZGdnIzs726zPcSlbjd9jzhtvj3o0jCvyEJlgiXwkInEwX0lKZWVlorUlyTsyw/yAjRs3YuvWrQgKCkLHjh1x9epVLFiwAM899xyKi4sBwJho1V2CMxw3FALXrl2r1/n27OLFi7h48aJZn+P7rfHG5ULbt26G7h18zfp8RLbKEvlIROJgvpKUxJofAEg0WdhwRWDgwIGYPXs2VCoVACAzMxMvv/wyjh8/jnnz5uHdd99FUVERAMDZ2dlkW4bjGo0GAOp9vpjUajXi4uKqHPf39zcWINnZ2TW+eERFRRm/T0xMrDZOT09PBAQEAAAKCwuRlJRUbZuhoaFwdXUFAKSnp1cpggwxq1SqSqs1mepLffp04WoJDp25/YnJ/wa3R1JSkkX6ZCB2nwyk+DkZsE8Ns08GDalPDfHnxD6Vs/c+1RSHrfapIf6c7K1Pd0KSKwILFizA77//jk8//dRYBABAq1at8Mknn0Amk2HdunUoKyuDQqG4tZZ8zWu/6/V6AIBCoQCAOp9P5qEXBOw4lm+83TuqFdr6NZUuICIiIiKqRCYIgvTbvP5L7969ceXKFWzduhXPPPMMCgoKcOrUKTg5OVU5d8iQITh16hQ2bdqEdu3a4fHHH0diYiK2bduGNm3aVDn/9ddfx/bt27Fo0SKTE4rvRHJyMtRqNdzc3BASYjvLYhqq2opVqVh2Hb2IL386DgBwdJBjybt94dXURfTnIWoozJmPRCQu5itJyfD7J8b7Tquctenp6QmgfJiPt7c3AFQ7KeffcwgM51d3iae2OQd094pLtfhhW6Lx9hO9g1gEEBEREVkZixcCarUaU6dOxYQJE6DVak2ek5mZCQDw8fFB27ZtAcDkKj9qtRrXrl2Dh4eHsXgwnG9YPagiQRCQlpYGhUJh8moBiWPT3lTk3iif7O3eyAlPPhQkcURERERE9G8WLwRcXV3x119/YceOHYiNja1y/969e3H9+nUEBwfD29sbPXr0AADs3Lmzyrm7du2CTqdDr169jMcM5//9999Vzj927Bjy8vIQFRUFNzc3sbpEFRSXarFp7+2ibcQj7aByFm/jCyIiIiISh8ULAZlMhujoaADAzJkzcfXqVeN9Fy9exIwZMwAAL730EgBgwIABaNasGX799Vfs3bvXeG5GRgY+//xzyGQyjBo1yni8a9euaNu2LWJiYvDzzz8bj+fl5WH69OkAgNGjR5utf7YkKipK9PGN+49fQuGtzcN8mqnQtyu3YSeqC3PkIxGZB/OVpCTmh9mSLB86fvx4HD16FHFxcXjkkUeMyXT48GGUlpbi+eefx3/+8x8A5Z2dOXMmJkyYgBdffBFdunSBq6srDh06hKKiIrzxxhsIDQ01ti2XyzF79mw899xzmDp1KjZs2ABvb28cOXIEN27cQHR0NPr06SNFtxs8QRDw+4Hbm4cN7B4Ihbzm1ZuIiIiISBqSrRpUWlqK77//Hlu2bMGFCxfg6OiIsLAwjBw5Ev37969y/rFjx7Bo0SKcPHkSgiAgKCgIo0aNwsCBA022n5KSggULFhiLi4CAADz99NMYMmSIcYlRsdjqqkFiS0rPw9sL9gMoXyloxQcD0NjVUeKoiIiIiBoOMd93WuXyobbGVgsBw8ZuFTfKuBtfrInD7rjyid4Pd/HD609HitIukT0QOx+JyHyYrySl48ePQ6/Xi/K+U5KhQWQdxNxd+Ya6BPtPXDbefvSBQNHaJrIH5tjtnIjMg/lKUhJzU1yr3EeAbM9fRy5Cqyv/xWzr585dhImIiIisHAsBums6vYDtFSYJ82oAERERkfVjIUB3LS7pKq5dLwIANFIp0ePelhJHRERERES1YSFAd+33mNtXA/p1DYCjUtxVmYiIiIhIfCwE6K5czlHjWNI1AIBMBgy8/x5pAyIiIiKiOuGqQXbM09PzrtvYfuCC8fuo0ObwaeZ6120S2SMx8pGILIP5SlJycHCAVqsVpy1RWiGbFBAQcFePLy7VYueRi8bbnCRMdOfuNh+JyHKYryQlZ2dnqNVqUdri0CC6Y/+cuAR1URkAoLmHCpEh3hJHRERERER1xULAjhUWFqKwsPCOHisIQqVJwv+5/x7I5TKxQiOyO3eTj0RkWcxXkpJOpxOtLRYCdiwpKQlJSUl39NhzGflIybwBAHB0kKNvV14mJbobd5OPRGRZzFeSUlFRkWhtsRCgO1LxakCPTi3R2NVRwmiIiIiIqL44WdhO6fUCkjKLoC7S4VJhKkq1epSV6VCm06O0TI9SrQ5arR6CAOgFofwxggDcun3w9BVjW/+5n5OEiYiIiGwNCwE7tWjDSfx5OPfWrfw7bqetnzuC/ZuKEhMRERERWQ6HBtmhPw+n48/D6aK0Fd03WJR2iIiIiMiyeEXAzqRk5mPJxlPG2/5ejugY2gpKhRxKpRyODgooHeRwdJDDwUEOuUwGmUwGmQyV/wXQ0tsNQa3cJesLEREREd05FgJ25KamFB+vjEWZVg8A8HZXYsRDnujerYPEkRERERGRpbEQsBN6vYAv1hzDtTwNAEDl7IDJz3WBbzOVxJEREQCEhoZKHQIR1RHzlaTk4uIi2hKiLATsxIZd53A08arx9mtDOyHI30vCiIioIldXV6lDIKI6Yr6SlBQKhWhtcbKwHThx9hp+/CPRePuJ3kG4P6KFhBERERERkdRYCDRwOflF+Gx1HPTlWwGgfetmeO4/7QAA6enpSE8XZ/UgIro7zEci28F8JSkVFxeL1hYLgQasTKvHJz/EoqCwFADQtJETJo3sDIWi/Meek5ODnJwcKUMkoluYj0S2g/lKUtJqtaK1xUKgAftuyxkkp18HAMjlMkwa2RkejZ0ljoqIiIiIrAELgQYqOT0PW/85b7z93H/CEN7GU8KIiIiIiMiasBBooP46ctH4fdcwHzzRu42E0RARERGRtWEh0ACVlOmw/8Ql4+2n+rSFTCaTMCIiIiIisjYsBBqgw2euQFNcPpHE19MVofc0lTgiIiIiIrI23FCsAfr7aIbx+z6d/aq9GqBScVdhImvBfCSyHcxXkpJcLoderxelLRYCDUxeQTFOJF8z3n4oyq/ac9u1a2eJkIioDpiPRLaD+UpSUqlUUKvVorTFoUENzJ64TOPmYR3aeKK5Bz+1ICIiIqKqWAg0IIIgYNfR26sF9encSsJoiIiIiMiasRBoQNIu3UB61k0AgJOjAvdHtKjx/Li4OMTFxVkiNCKqBfORyHYwX0lKYg0LAlgINCi7KkwS7t7BFypnpYTREBEREZE1YyHQQGh1euw9nmm8/XDn6icJExERERGxEGggjiVdww11KQCgWRNndAjykjgiIiIiIrJmLAQaiL8rTBJ+KMoPCjl3EiYiIiKi6rEQaABuakpxJP6q8XYfDgsiIiIiolqwEGgA9h2/BK2ufIe5tn7u8GveSOKIiIiIiMjacWfhBmB3hdWC6jNJ2N/f3xzhENEdYD4S2Q7mK0nJyckJJSUlorTFQsDGZV67ieSL1wEADgoZenSq+yZiXl6cUExkLZiPRLaD+UpSUiqVohUCHBpk4yruHdAlzAeNXR0ljIaIiIiIbIUkVwR0Oh1++ukn/Prrr0hLS4NOp4Ofnx/+85//YMyYMXBycjKee/ToUQwfPrzatgYNGoS5c+dWOnb+/Hl89dVXiIuLQ35+Pvz9/REdHY3hw4dDLm84tY9eL1QaFlTfScLZ2dkA+MkGkTVgPhLZDuYrSamsrEy0tixeCOh0OowfPx579uyBSqVCx44d4eDggJMnT2LBggXYu3cvVq5cCRcXFwBAQkICAKBTp05o1arqsJfIyMhKt5OSkjB8+HCo1WpERkaiQ4cOOHz4MGbNmoWTJ09WKRps2emUHOTcKAYANHZ1RFRo83o9/uLF8iVH+UJGJD3mI5HtYL6SlMQaFgRIUAisX78ee/bsQUhICJYtW4bmzcvfvObl5WH8+PE4fvw4Fi9ejLfeegsAkJiYCAB4++23ERUVVWPbgiBg0qRJUKvV+PTTT/HYY48Z2x41ahS2bNmCfv36YcCAAWbs4d0r0+pwOiUXh+Ov4GjSNeQXFJs8T6sXjN/3imwFpUPDudpBREREROZl8XeOv/76KwBgypQpxiIAADw8PDBt2jQAwO+//248npCQALlcjnbt2tXadkxMDJKTk9G1a1djEfDvtletWiVCL8Sn1pRiT1wGPvkhFsM/+AMfLjuIbQcu4FqeBqVavckvfYVCgHsHEBEREVF9WPyKQNOmTdG6dWtERERUue+ee+4BAFy7dg0AUFpaitTUVLRu3RoqlarWtvfv3w8A6Nu3b5X7IiMj0axZM8TFxUGtVsPNze0ueiGe+LRcrNmRhDNpuZXe2NeVXAb06xaANi2bmCE6IiIiImqoLF4ILFmypNr7Tp8+DQDw8fEBAJw7dw5lZWVo2bIlvvzyS/z555+4dOkSPD09MWDAALz00kto3Lix8fEpKSkAgODgYJPtBwYGIjc3F6mpqejYsaNYXbpjF7MK8N7XMdCZKACae6jQLdwH97X3RVs/d8jkMpNtyGUyDgkiIiIionqzmn0EBEHA/PnzAQD9+/cHcHui8N69exEbG4suXbrAx8cHp0+fxnfffYddu3bhp59+goeHB4DbVxKqm7xjOJ6Tk2OWPqjVasTFxVU57u/vb3zu7Oxs4ySj1btzKhUBLZsp0adrELq194G/TyMkJSVBcyMd8TfSq7Tp6emJgIAAAEBhYSGSkpKqjSs0NBSurq4AgPT09Cr9N8SsUqkqDcEy1Zfa+mRKxbkdiYmJ0Gg0Js8Ts08G7BP7ZGDtfTJoSH1qiD8n9qmcvfeppjhstU8N8edkb326E1ZTCHzxxReIjY2Fp6cnxowZA+D2ROGuXbti/vz5xjf8eXl5ePPNN3Hw4EF8+OGH+OqrrwAARUVFAABnZ2eTz2E4Xt1/tiWlXClGypXbk4DHDvBGy2aOiIoyfTWDiIiIiEhMMkEQ6j8wXWTz58/H4sWL4ejoiO+++w5dunQBUL5OamZmJry8vKqM6b969SoeeeQRFBUVYd++ffD29saAAQNw4cIF7Nq1Cy1btqzyPO+++y5+/fXXSisKiSE5Odk47yAkJKTW83V6Aa99vhvpWTcBAP26+mPC0E6ixUNEREREDVN933fWRNLB5VqtFh988AEWL14MJycnLFy40FgEAOVbKAcGBpqc2Nu8eXOEhYVBEATjECLD3gPFxaaX2zQcN1wKksrOI+nGIsDZUYHhj4RKGg8RERER2R/JCoHCwkKMGzcO69atQ+PGjfHtt9+iV69e9WrD09MTwO0hQd7e3gCqnwNgDTsBaorLsPqP2+O7/tunLZo1cZEsHiIiIiKyT5IUAjdu3MDIkSOxf/9++Pr64scff6x0JcBg5syZePnll5Gbm2uynczMTAC3Vxlq27YtgNurB1UkCALS0tKgUCjQpk0bsbpSb7/sTkH+zfId4Zo1ccbjvaSLJTEx0TgPg4ikxXwksh3MV5KSmHNdLV4IlJaW4oUXXkB8fDyCgoKwdu3aapf7PH78OHbu3Ildu3ZVue/s2bNITEyEu7s72rdvDwDo0aMHAODvv/+ucv6xY8eQl5eHqKgoyfYQyL5ehE17bhcpz/6nHZwdpZuvrdForGLiNBExH4lsCfOVpKTX60Vry+KFwIIFC3DixAn4+vpi1apVxk/zTRk6dCgA4Msvv0RqaqrxeF5eHiZPngydTocxY8bA0dERQPnqQm3btkVMTAx+/vnnSudPnz4dADB69GhzdKtOftiegFJt+Q+vTasm6B3J3YCJiIiISBoW/Tj6+vXrWLVqFQDAw8MDs2fPrvbcuXPnYsiQIYiJicGOHTvw2GOPoXPnznBxccHhw4dRWFiIgQMH4vnnnzc+Ri6XY/bs2XjuuecwdepUbNiwAd7e3jhy5Ahu3LiB6Oho9OnTx+z9NOXsxevYE5dpvP2/weGQV7NJGBERERGRuVm0EIiNjTWu3BMfH4/4+Phqz507dy7kcjnmz5+PdevWYf369Th+/DjkcjmCgoIQHR2Np556CjJZ5TfTERERWL9+PRYsWIDDhw/j3LlzCAgIwJtvvokhQ4aYtX/VEQQB3/52xnj7vnAfdGjjKUksRERERESAhQuB/v37Izk5uV6PkclkePrpp/H000/X+TFBQUFYsGBBfcMzm4OnryDhfB4AQCGXYfT/tZc4IiIiIiKyd5LuI2APyrQ6fL81wXj70QcC0cJLmsnKREREREQG0i1ZYye2HbiAK7mFAAA3FyWe7n93O8CJybAPAxFJj/lIZDuYryQlBwcHaLVacdoSpRUySRAE/B5z3nj76f4haKRylDCiygICAqQOgYhuYT4S2Q7mK0nJ2dkZarValLY4NMiMzmXk40pO+dUAlbMDHul+j7QBERERERHdwkLAjPYdv2T8/r5wXzgpFRJGU1VhYSEKCwulDoOIwHwksiXMV5KSTqcTrS0WAmai0wvYf+J2IdCrUysJozEtKSkJSUlJUodBRGA+EtkS5itJqaioSLS2WAiYSXxaDvIKyvdMaOLmiI5tObGIiIiIiKwHCwEzqTgs6MGOLaFQ8L+aiIiIiKwH352aQZlWj5iTl423e3ZqKWE0RERERERVsRAwg+PJ16AuKgMAeDd1QWiAh8QRERERERFVxkLADPYezzR+3+PelpDLZRJGQ0RERERUFQsBkRWXaHE4Pst4u1ek9a0WRERERETEnYVFdjg+CyWl5eu7+jVvhHt8G0scUfVCQ0OlDoGIbmE+EtkO5itJycXFRbQlRFkIiKziakG9OrWETGa9w4JcXV2lDoGIbmE+EtkO5itJSaEQb4NaDg0SkU4v4FjyVePtHlwtiIiIiIisFAsBERWoS6DVCQCAYH93tPB0kziimqWnpyM9PV3qMIgIzEciW8J8JSkVFxeL1hYLARHlq0uN3/fsZP2ThHNycpCTkyN1GEQE5iORLWG+kpS0Wq1obbEQEFHhrb0DZLLyZUOJiIiIiKwVCwEz6NDGEx6NnaUOg4iIiIioWiwEzMAWhgURERERkX1jISAyB4UMD0T4Sh0GEREREVGNWAiILCq0OdxUjlKHQURERERUI24oJrKeNrR3gEqlkjoEIrqF+UhkO5ivJCW5XA69Xi9KWywERCSXA13DfKQOo87atWsndQhEdAvzkch2MF9JSiqVCmq1WpS2ODRIRI1dneDsxNqKiIiIiKwfCwER+Xq6Sh0CEREREVGdsBAQkUIukzqEeomLi0NcXJzUYRARmI9EtoT5SlISa1gQwEKAiIiIiMgusRAgIiIiIrJDLASIiIiIiOwQCwEiIiIiIjvEQoCIiIiIyA6xECAiIiIiskPc/cqO+fv7Sx0CEd3CfCSyHcxXkpKTkxNKSkpEaYuFgB3z8vKSOgQiuoX5SGQ7mK8kJaVSKVohwKFBRERERER2iIWAHcvOzkZ2drbUYRARmI9EtoT5SlIqKysTrS0ODbJjFy9eBMBLnETWgPlIZDuYryQlsYYFAbwiQERERERkl1gIEBERERHZIRYCRERERER2iIUAEREREZEdYiFARERERGSHuGqQCAyztzUaDZKTkyWOpv5sMWaihor5SGQ7mK8kJTFWD2IhIAKdTgcA0Ov1UKvVEkdTf7YYM1FDxXwksh3MV5KS4f3n3WAhIAInJyeUlJRAoVDAyclJ6nCIiIiIqIEqKSmBTqcT5T2nTBAEQYSYiIiIiIjIhnCyMBERERGRHWIhQERERERkh1gIEBERERHZIRYCRERERER2iIUAEREREZEdYiFARERERGSHWAgQEREREdkhFgJERERERHaIhQARERERkR1iIUBEREREZIdYCBARERER2SEWAkREREREdoiFgIR0Oh1Wr16N//73v+jUqRMiIiLw6KOPYtGiRSgpKal0riAI2LBhA4YMGYJ7770X3bp1w/PPP499+/ZJFH3NDhw4gGeffRbdunVDZGQkRo4caTLWo0ePIiQkpNqviRMnShB97TZu3IiQkBAcPXrU5P179+7F//73P3Tt2hXh4eF46KGH8MEHHyArK8vCkdZdbX3auXMnRo4cicjISHTu3BnDhg3D1q1bLRxlzeqTUwCQl5eHjz76CA8//DDCw8Nx//33480338SFCxcsH3wt6ppTALBp0yZER0ejY8eOiIyMxLBhw7Bp0ybLBlxPtf3+nT9/Hm+++SZ69eqFjh07YtCgQVi1ahX0er2FI6276vo0cuTIGl/3DF9fffWVRJFXVt+8qqi0tBSDBw9GSEgIMjMzLRRx7XQ6HX744QcMHjwYHTp0QNeuXfH8889jz549tT42LS0NERERWLx4sfkDrae6vE706dOnTr9/GzdulKgX1avtdeLfxowZg5CQEBw+fNjMkdXP3eTUoUOHEBoais2bN4sSi4MorVC96XQ6jB8/Hnv27IFKpULHjh3h4OCAkydPYsGCBdi7dy9WrlwJFxcXCIKAiRMnYuvWrZDL5QgPD4eHhwdOnDiBsWPHYty4cXjjjTek7pLRxo0bMXnyZDg6OuK+++6DXq/H4cOHMXbsWMyYMQNDhw41npuQkAAA6NSpE1q1alWlrcjISIvFXVfHjx/HzJkzq73/m2++weeffw65XI6IiAg0a9YMiYmJWLduHf766y+sXr0abdq0sWDEtautT1988QWWLl0KAAgNDYWvry/OnDmDt956C//88w8++ugjKBQKS4VrUn1yCgAyMjIwcuRIXLlyBQEBAejduzfOnTuH33//HTExMfjll19M/k5KoT45NW/ePHz99ddwdHREly5doFAocPToUbzzzjuIjY3FRx99JGFPTKvt9y8pKQnDhw+HWq1GZGQkOnTogMOHD2PWrFk4efIk5s6da8Fo66amPt1///1o3ry5yfsKCwuxa9cuAEC7du3MFl9d1Tev/m3+/PlITk62cNS1mzx5MjZv3gw3Nzd0794dZWVlOHLkCGJiYjBhwgS8/PLLJh+Xl5eHV155pdY3a1Ko6+tE3759kZeXZ7KNnJwcHDx4EEqlEm3btrVk+LWq7XXi39asWYP9+/ebMaI7czc5deHCBUycOBGCIIgXkECS+Omnn4Tg4GBh0KBBQlZWlvF4bm6uMHToUCE4OFiYO3euIAiC8PPPPwvBwcFCly5dhNjYWOO5+fn5wrPPPisEBwcLu3fvtnQXTMrKyhLCw8OFqKgoITk52Xj85MmTQmRkpNChQ4dK/X333XeF4OBg4ejRo1KEW29//PGH0KlTJyE4OFgIDg6u9PMQBEE4d+6cEBoaKtx7773CsWPHjMdLS0uFadOmCcHBwUJ0dLSlw65RbX06cOCAEBwcLLRv317YsWOH8XhRUZHw5ptvCsHBwcKqVassHXYV9ckpQRCEESNGCMHBwcKcOXMEnU4nCIIg6HQ6YebMmUJwcLAwbtw4i/fBlPrk1IkTJ4Tg4GDhvvvuE86fP1+pjYceekgIDg4WDhw4YOku1Ki23z+9Xi8MGjRICA4OFjZt2mQ8npubazz+xx9/WDrsGtXWp5q89dZbQnBwsPDZZ5+ZMcK6q29eVXT06FEhNDTU+P+QkZFhqbBr9PvvvwvBwcHCgAEDhOzsbOPxs2fPClFRUUJoaGil/DFITk4W+vfvb+zPokWLLBh1zer7t9cUrVYrDB8+XAgODhbWrFlj7pDrpb45deHCBeHee+81nn/o0CELRVq7O82pI0eOCA888ICxTxVfD+8GhwZJ5NdffwUATJkypdInQx4eHpg2bRoA4PfffwcArF+/HgAwceJEdO7c2XhukyZNMGfOHCiVSsybN88ygdfixx9/RGlpKUaNGoXg4GDj8YiICIwdOxYlJSVYt26d8XhCQgLkcrlVfPJVk6ysLEyaNAkTJkyAXq+Hp6enyfM2b94MvV6P0aNHo1OnTsbjSqUSU6ZMMV7JuXTpkqVCr1Zd+/Tzzz8DAP73v/+hf//+xuPOzs6YMWMGPDw8sHDhQmi1WovEXZ365NTRo0dx5MgRREVFYdKkSZDLy18K5XI5Jk6ciJYtW+LSpUvQ6XSW7YQJ9cmpLVu2AABefPFF3HPPPcZzmzdvjmeeeQYArGY4YV1//2JiYpCcnIyuXbviscceMx6v+HNdtWqVJUKuVV37VJ3ffvsNW7ZsQfv27fH666+bJ8h6qk9eVaTRaPDuu++iVatW8Pb2tkisdfXbb78BKP+bWvFn1LZtWwwaNAh6vR4xMTHG40VFRVi4cCGio6Nx4cIFq7lSWFF9//aa8s033yA2NhZ9+vTBsGHDzB1yndxJTul0OrzzzjtQKpWV/i+sRX1zKj8/Hx999BFGjRqF69evo0WLFqLGw0JAIk2bNkXr1q0RERFR5T7DH/Br164BAM6ePQsA6N27d5VzfXx84O/vj8TERGRnZ5st3royXIbr27dvlfsMxwxvREpLS5GamorWrVtDpVJZLsg7MG/ePGzevBnh4eFYt24dWrdubfI8pVKJkJAQdOnSxeR9hj8ghp+tlOrap5p+/1xdXREeHo7r16/jzJkz5gy3VvXJqR07dgAARo0aVeVcZ2dn7Nq1C7/99pvkw52A+uXUu+++i+3bt+O///1vlXMLCwsBAA4O1jEitK6/fzX1PzIyEs2aNUNcXBzUarVZ462LuvbJFLVajU8//RRyuRyzZs2ymp9TffKqok8++QSZmZn4+OOP4ezsbO4w62XBggXYsmULevbsWeU+Q55UzP3t27fjq6++gpubGxYuXIjHH3/cUqHWWX1eJ0y5fPkylixZApVKZXwzag3uJKeWL1+O48ePY+rUqWjWrJkFoqyf+ubUqlWr8MMPP6Bly5ZYuXIlunXrJmo81vFKY4eWLFlS7X2nT58GUP4mH4BxMpybm5vJ8w0vWKmpqfDy8hIzzHoRBAEpKSmQy+Umk/Wee+6BXC5HSkoKBEHAuXPnUFZWhpYtW+LLL7/En3/+iUuXLsHT0xMDBgzASy+9hMaNG0vQk6pat26NOXPmYPDgwcZPj02ZMGECJkyYYPI+jUaDlJQUALd/tlKqa5/q8/t37733ih5nXdUnpwxzUyIiIpCXl4etW7fi3LlzcHV1Ra9evdC9e3fzB1wH9c0pBwcHk+edPHkSa9asgYODAx599FFLhF6ruv7+GXKmuk/2AgMDkZubi9TUVHTs2NEssdZVXftkytKlS5GdnY2hQ4ciLCzMTBHWX33yymDv3r1Yt24dnn/++UpXsa2Fo6Ojyd+n3bt3448//oBKpar0htrd3R2vvvoqRo8eDVdXVyQlJVky3FrV93VCJpNVOWfu3LkoLi7Gm2++We38FSnUN6eSkpLw1VdfYcCAARg0aBB++eUXC0RZP/XNKR8fH7z33nt4+umn4ejoiA0bNogaDwsBKyMIAubPnw8AxmEYgYGBSEpKwtGjR6t8gpGXl2dc4aS6yT+WcuPGDZSWlsLDwwOOjo5V7ndwcEDTpk2Rm5uLwsJC45uxvXv3IjY2Fl26dIGPjw9Onz6N7777Drt27cJPP/0EDw8PS3elihdeeOGu21i2bBk0Gg06dOgAX19fEaK6O3XtU2BgINLS0nD06NEqk8dKSkoQHx8PQPrfv+qYyqn09HQA5at/vPHGG8jPzzeev2LFCgwaNAiffPKJ5J/K1jen/l2sTZ48GcnJyYiPj4e7uzu++OILhIaGWir8GtX198/wyVh1H3IYjufk5IgT2F2409eJ/Px8rFq1CkqlEi+99JLIUZmHqbwCyvvy3nvvISgoyGqGN9WkuLgYkyZNQkpKClJTU9GiRQt8+umnlYag9OnTB3369JEwyprd7etEamoqtm3bBnd3d4wcOdJSYddJfXKqtLQUb7/9Nho3bmxVVzXqqrqcGjJkiFmfl0ODrMwXX3yB2NhYeHp6YsyYMQCAJ554AgAwY8YMpKWlGc9Vq9WYMmUKSktLAcD4r1SKiooAoNrVIwAYLxEXFhYiMTERANC1a1f8/fff+Oabb7BixQr8+eef6N69Oy5cuIAPP/zQ/IFbwN69e7F06VLI5XK8/fbbUodTL4bfv3nz5uHkyZPG46Wlpfjoo4+Mb9Sk/v2rjqmcUqvVkMlkmDBhAsLDw7F582bExcVh2bJlaNmyJbZs2YIFCxZIHHn9c6qikpIS/Prrr8ZCTS6X4+zZs1Yx76E+DP8H1Q0vMRzXaDQWi0ls69atQ1FRER577DGr+JCgLkzlFQBMnz4d169fxyeffAInJycJI6yby5cvY8eOHUhNTTUes8ZVjmpyN68TALBy5UoIgoDnnnvO6ofp1mT+/Pk4e/asce6arakup8yNhYAVmT9/Pr755hs4Ojpi3rx5xl/kESNGoEePHsjIyMBjjz2GESNG4MUXX0S/fv1w5swZY+WoVCqlDL9el8IFQcDkyZPxxx9/4Ouvv66UtB4eHpgzZw5UKhX++usvqxhPfzf27NmDV199FTqdDm+88Ybo4/vMrV+/fhgyZAjy8/Px9NNPY+jQoXjppZfQr18/bNmyxVgoSP37Z0p1OVVaWgpBEODj44OlS5ciNDQUbm5u6NmzJxYvXgyFQoGVK1dKPu68vjn178fu378fcXFxWL58ORo3boyFCxdixowZYodpVoahZ6aGM1RkzfsJ1ESv12PNmjUAYNE//nejurzaunUrtm3bhrFjx6JDhw4SR1k3Pj4+OHToEI4cOYJ58+ahrKwMM2fOxDfffCN1aHV2N68TBQUF2Lx5M1QqFUaMGCF2aBYTFxeH7777DoMHDzY5T8LaVZdTlsBCwApotVp88MEHWLx4MZycnLBw4cJKk00dHBywZMkSTJw4Ea1atcKJEyeQkJCA/v37Y9OmTXB3dwcANGrUSKIelDN8klDT+srFxcXGc5VKJQIDA02OPW/evDnCwsIgCIJxCJEt2rBhA15++WWUlJTglVdeEWWIkRRmzZqFWbNmISQkBAkJCThx4gQ6d+6MTZs2GSc3Sf37V1FtOWX4dGzIkCFVhv+EhoaiY8eOKC4uxokTJywZdhX1zamKlEolvLy84Obmhh49emD58uVwcXHB+vXrrXpju38zfMpp6Oe/GY67urpaLCYxHTt2DFlZWejUqRMCAwOlDqdGNeXV1atXMWPGDLRr167aNfitkUqlQtOmTdGkSRMMHDgQCxcuhEwmw9KlS61yrwBT7uZ1Yvfu3SguLkafPn2sZk5efRlWqPLy8sLUqVOlDqdeavtbZQmcIyCxwsJCvPbaa9i/fz8aN26MxYsXm/wlcHBwwNixYzF27Ngq9xmGC4m9pFR9ubm5QaVS4fr169BqtVXeYGm1Wly/fh1OTk51esExjNE0XPa0NV9++SWWLFkCmUyGyZMnm1yhxpYMGTLE5FhFa/n9M6hLTnl4eKCwsBAtW7Y02UaLFi1w7NgxXL9+3RIhV0vMnPLz80OnTp1w4MABJCcnW8WE9brw9vZGYmIicnJyTG7EZ1gtTcqFEu7G33//DQBWM4m7OrXl1dKlS3Hjxg20bt0akydPrvRYw/yNjz/+GC4uLnjppZesblNFg3vvvRf+/v5IT09HRkYGgoKCpA6pVnfzOmErv381+emnn3Dx4kWEhIRUueJpWGxgyZIlWL9+PZ5++mmrmcBe1/d/5sZCQEI3btzA6NGjER8fD19fX3zzzTcmVzK4ePEiLly4gI4dO6JJkyaV7tNoNDh16hRcXV0l/zRJJpMhKCgIp06dwoULF6q8gJ4/fx56vd7Yx5kzZyIrKwszZswwucSXYTt6W3nDYiAIAt5//31s2LABjo6OmDNnDv7zn/9IHdYdy8rKQmpqKoKCgkyuJnH48GHIZDK0b99egugqq2tOBQcHIyMjo9phZ4Y3LlIvPVffnPrmm28QHx+PDz74wGTshomEZWVl5g9eJG3btsXevXuRkpJSZVidIAhIS0uDQqGw2jeWtTEs6VhxcqC1qUteGeZoHD9+HMePHzfZzs6dOwGUf6gg1c9LEAR89tlnuHLlCj777DOTCwIY8kTqvVHqqr6vEwZ6vR7//PMPVCoVHnzwQUuGLCrD715ycnK18zsOHDgAoHxXb2soBOr6t8oSODRIIqWlpXjhhRcQHx+PoKAgrF27ttpfgvXr12Ps2LH4888/q9y3ceNGlJaWol+/flax5nmPHj0A3H7Br8hwrFevXgDK/2Ds3LkTu3btqnLu2bNnkZiYCHd3d6t4g1kfn3zyCTZs2AA3Nzd8++23Nl0EAOVzHJ5//nnjOOaKdu/ejaysLHTu3LnemyeJrT45ZVh9648//qhyn2FPBEdHR6sY51yfnDp06BD++OMPk/0qKCgwDnWypZwy9N/wyWVFx44dQ15eHqKioqpd3taaqdVqpKamomXLlla1ZGNFdc2rTz75xPhG7N9f/v7+AMp/hsnJyZLOk5LJZPj777+xbdu2SpuGGWRkZOD8+fNQqVSSf7hWH/V5nTBISUlBYWEhwsPDTa42ZCteffXVan/3DEtB//DDD0hOTsaTTz4pcbT1+1tlCSwEJLJgwQKcOHECvr6+WLVqVY2fehuWLVuyZEmlJRqPHz+OL774Ag4ODhg/frzZY66LJ598Ek5OTli2bFmlDaZOnz6N5cuXw9nZ2bjD6dChQwGUD6GpuGJDXl4eJk+eDJ1OhzFjxtjUC9S+ffvw/fffw8HBAUuXLkXXrl2lDumu9ezZE0qlEmvWrDEuuwmUDwkyrOpU3d4JllSfnPq///s/eHt74/Dhw5UmBZaUlODDDz+EWq3G448/bhXzHuqTU9HR0QDK/y/OnTtnPLegoACTJk1Cfn4+Bg4caDMr0wDlq4q1bdsWMTExxl2ugfLXienTpwMARo8eLVV4dyU+Ph6CICA8PFzqUKpVn7yyFYY8mTVrVqX5MlevXsWbb74JrVaLZ555xiZWPTKoz+uEgeE8a/79a4isLac4NEgC169fx6pVqwCUj1WePXt2tefOnTsXnTp1wjPPPIM1a9bgkUceQVRUFNRqNY4ePQqZTIZPP/0UAQEBlgq/Rq1atcI777yDGTNm4OmnnzZ+8nP48GFotVrMmTPHOGRhyJAhiImJwY4dO/DYY4+hc+fOcHFxweHDh1FYWIiBAwfi+eefl7I79WZYcrJZs2ZYu3Yt1q5da/I8ax4j+28tWrTA66+/js8++wyPPfYYunbtCp1Oh8OHD6OsrAwTJ06UvOCpb065ubnhiy++wAsvvIDPP/8cv/76KwIDA3HmzBlcvXoVwcHBVrPMa31y6pFHHkF0dDR+/vlnPPHEE4iKioKjoyNOnTqF/Px8hIeH29yqQXK5HLNnz8Zzzz2HqVOnYsOGDfD29saRI0dw48YNREdHW/Ua7zUxDH+U+mpadeqbV7bi2WefxeHDh7F3714MHDgQkZGR0Ol0OHnyJDQaDXr16oXXXntN6jDrpT6vEwbW/vvXEFljTrEQkEBsbKxxBn98fLxxnW9TDL8I77//Plq1aoUNGzZg//798PDwQN++fTF27FiT21RLafjw4WjRogWWL1+OY8eOwdHREZGRkXjppZcq7dgql8sxf/58rFu3DuvXr8fx48chl8sRFBSE6OhoPPXUU7UuGWhN8vPzjbsCXr16FVu2bKn2XCnHyN6JMWPGoGnTpli1ahUOHjyIRo0aoVu3bvjf//6H+++/X+rw7iinunTpgt9++w2LFi3CP//8g/3798PHxwcvvvgiXnjhBasaalLXnALK59506dIFa9aswcmTJ6HX63HPPfdgzJgxePbZZ23qU06DiIgIrF+/HgsWLMDhw4dx7tw5BAQE4M033zT7ZjvmZLjCaw1Xnky5k7yyBUqlEl9//TXWrFmDjRs3IjY2FnK5HMHBwXjyyScRHR1d752hrUF9XieA279/trpakC2yxpySCf9eVJaIiIiIiBo82yt5iYiIiIjorrEQICIiIiKyQywEiIiIiIjsEAsBIiIiIiI7xEKAiIiIiMgOsRAgIiIiIrJDLASIiIiIiOwQCwEiIiIiIjvEQoCIiIiIyA6xECAiIiIiskMsBIiIiIiI7BALASIiIiIiO8RCgIiIiIjIDrEQICIiIiKyQywEiIiIiIjsEAsBIiIiIiI7xEKAiIiIiMgOsRAgIiIiIrJDLASIiIiIiOwQCwEiIiIiIjvEQoCIiIiIyA6xECAiIiIiskMsBIiIiIiI7BALASIiIiIiO8RCgIiIiIjIDrEQICIiIiKyQywEiIiIiIjsEAsBIiIiIiI7xEKAiIiIiMgOsRAgIiIiIrJDLASIiIiIiOwQCwEiIiIiIjvEQoCIiIiIyA6xECAiIiIiskMsBGzUxo0bERISgk6dOiEzM7PGc8PCwhASEmKhyIjsz+HDhxESElLlKywsDJGRkXj00Ucxc+ZMpKamSh0qEdVi5MiRCAkJwcaNG6UOhcjsHKQOgO6ORqPB1KlTsWLFCqlDIbJ7KpUKDz/8sPG2TqfDzZs3kZSUhNWrV+Pnn3/GjBkz8MQTT0gYJRERUTkWAg3AgQMHsH79egwZMkTqUIjsWtOmTTF37twqxwVBwNq1azFr1iy8//778PHxQffu3SWIkIiI6DYODbJxPj4+AIA5c+bg6tWrEkdDRKbIZDIMGzYMr7/+OrRaLebMmQNBEKQOi4iI7BwLARv34IMPom/fvrh58yamTp1a58cVFRVh8eLFGDRoECIiIhAZGYnhw4dj69atlc779NNPERISgoULF5psZ/Xq1QgJCcGsWbPuqh9E9mD06NFo3rw5EhMTceLECeNxrVaLH3/8EU8++SQ6deqEyMhIjBgxAn/++We1bW3fvh3PPvssunXrhs6dO2PIkCHYtGkT9Hq9BXpCZF+KioqwfPlyREdHo0uXLggPD8cDDzyAV155BadOnap0rmHO0Jw5c3Du3DmMHz8eXbt2RceOHfH0009j586dEvWCqCoWAg3AtGnT0KRJE+zduxebNm2q9fy8vDwMGTIE8+fPR3Z2Nnr06IFOnTrh1KlTeOuttzB58mTjuY899hiA8jcdphgKh8GDB999R4gaOAcHB/To0QMAcPDgQQBAWVkZxo0bhxkzZiAzMxNRUVHGfHz11Vfx5ZdfVmnngw8+wOuvv47jx48jPDwcnTt3RkpKCt555x3Mnj3bon0iauiKi4sxfPhwfPbZZ7h69So6d+6MBx54ADKZDH/99ReeeeYZnD59usrjkpKSEB0djdOnTyMqKgpt2rTB8ePH8fLLL2PHjh0S9ISoKhYCDYCXl5fxzfvHH3+M7OzsGs//4IMPcO7cOfTr1w+7du3CokWL8O2332Lr1q3w8/PDxo0b8dNPPwEAQkJCEBoaipSUFJw9e7ZSO5cvX8aJEycQGBiIiIgI83SOqIFp3bo1AOD8+fMAgEWLFmH//v144IEH8Oeff2L58uX49ttvsW3bNvj7+2PJkiX4559/jI//888/sW7dOrRq1Qrbtm3Dt99+iyVLlmD79u3w8fHBqlWrcPLkSUn6RtQQrV69GvHx8RgwYAD+/vtvfP3111i6dCl27dqFAQMGoKysDOvWravyuAMHDuCRRx7Bzp078fXXX2Pjxo146aWXAADffvutpbtBZBILgQbiiSeeQM+ePZGfn4/p06dXe15mZib++usvuLu7Y86cOVCpVMb7AgICjJ8mVnyRMnzav23btkpt/f777xAEgVcDiOqhcePGAIDr16+jtLQUq1evhpOTEz799FO4u7sbz2vVqhXee+89AKi0KpihSH///ffh5+dnPO7j44OXX34ZwcHBxiKDiO6es7MzevXqhbfeegsODrfXWHF0dMSTTz4JALhy5UqVxzk5OeG9996Dk5OT8djw4cMBAOfOnTNz1ER1w0KgAZk5cybc3Nzw119/VXnTbnD06FEAQM+ePeHq6lrl/q5du8LLywsZGRnIysoCAPzf//0f5HJ5leFB27Ztg0wmw6BBg0TuCVHDVVpaCqB8AnF8fDxu3ryJoKAgeHp6Vjm3e/fucHBwQFxcHHQ6HQRBQGxsLJRKJR588MEq50dHR2PLli14/PHHzd0NIrsxYsQIfPPNNwgICDAeKygowNGjR7Fv3z4At/O6oqCgILi5uVU65unpCZlMhqKiIvMGTVRHXD60AfHx8cGkSZPwwQcfYObMmbjvvvvg4eFR6Zxr164BAFq2bFltO61atUJ2djays7Ph4+OD5s2bo3v37oiJiUFCQgLCwsKQlpaGhIQEREZGVvpUkohqduPGDQBAkyZNjJ8ixsfH17jpn1arNT6urKwMvr6+UCqV5g+WiACU/+388ccfcfjwYZw/fx75+fkAygv66jRq1KjKMZlMBrlcDp1OZ65QieqFhUADM3ToUGzbtg2HDh3CzJkzTU40rI3hBcrR0dF4bPDgwYiJicH27dsRFhZmvOJgmExMRHWTlJQEoHz+jWGFn1atWqFTp061PpZvHogsx/Am/9ChQxg3bhyKiorQokULdO3aFa1bt0Z4eDgcHBwwbty4Gh9PZM1YCDRAs2bNwuDBg7Ft2zY8+uijle7z9vYGUD5XoDqG+yoOVejXrx+mTZuGHTt24K233sK2bdugVCoxcOBAM/SAqGEqLi7GoUOHAJQP+yksLAQA+Pn5mdyI7N9KS0uhVCqRk5MDrVZbabwyUD7vYMeOHQgJCalTYUFkr06dOoVly5YhJCQEr7zySqX7ysrKAACurq4QBAHvv/8+ioqKMGvWrCobd+7atctiMROZA+cINEB+fn548803AZQvLVpx46KoqCjIZDLs37/f+CakokOHDiEvLw9t2rRBs2bNjMddXV3Rt29fpKenY8eOHUhNTUWvXr3QpEkT83eIqIFYvXo1bty4gbCwMISHh6NDhw5wdnbG6dOnkZeXV+X85ORk9OvXD6+++ioEQYCjoyPCw8NRVlZmXH60oj179uDDDz/Eb7/9ZonuENms69ev488//8SxY8eq3GdYec/b2xt5eXnIyMiAl5dXlSIAAGJiYgCA+3eQzWIh0ECNGDECUVFRyM7OrvQC5efnh4cffhj5+fl45513oNFojPdlZGTg/fffB3B7ZYOKDKsDGVYW4rAgorrR6/XYsGED5s2bBwcHB+NqQCqVCkOGDIFarcakSZNw/fp142OuX7+OyZMn4+LFi/D19TUOMzDk5kcffVRpN/GsrCwsWLCAE/iJ6qBjx45QKpWIjY2ttDT23r17kZmZiUaNGqF9+/Zwd3eHs7MzcnJyKi3LKwgCfvnlF+MqXiUlJRbvA5EYODSogZLJZPjoo4/w2GOPVXmBmjFjBi5cuIC//voLffr0QefOnVFUVIQjR46gtLQUTzzxBJ555pkqbT7wwAPw8vJCVlYWGjdujN69e1uoN0S24fr165g4caLxtl6vx40bN5CUlIScnBw4Ojrik08+QefOnY3nvPXWW4iPj8f+/fvRr18/REREwMHBAUePHkVhYSE6deqE119/3Xj+oEGDcODAAWzcuBGPPPIIunbtCp1Oh7i4OGg0GowbNw6RkZGW7DaRzXF3d8fzzz+PpUuXYsiQIejWrRtKS0tx5MgRAMDbb79tnJA/cuRILFu2DMOHD0fXrl2hUqmQmJiIzMxMtGnTBmlpacjJyZGyO0R3jIVAAxYYGIjXXnsNn376aaXjzZo1w7p16/D9999j+/bt2LdvH1xcXBAVFYWnn34ajzzyiMn2FAoFHn30UXz//fd45JFHKk0mJiJAo9Fgy5YtxttyuRwqlQp+fn4YPHgwhg8fjlatWlV6jIuLC1auXIk1a9bgt99+w7Fjx6BQKBAQEIBBgwZh2LBhcHFxqfSY2bNno2vXrli3bh2OHDkCnU6H4OBgjBgxgkuHEtXRm2++CR8fH6xduxYHDx6Ek5MToqKiMGrUKDz88MPG815//XV4eXlhw4YNxqFE/v7+eP311zF69GhER0cjOTkZSUlJCA0Nlao7RHdEJlQcQE5ERERERHaBcwSIiIiIiOwQCwEiIiIiIjvEQoCIiIiIyA6xECAiIiIiskMsBIiIiIiI7BALASIiIiIiO8RCgIiIiBosnU6H1atX47///S86deqEiIgIPProo1i0aJHJHYFPnz6NcePG4YEHHkCnTp0wZMiQSvuD1CQtLQ0RERFYvHhxteekpKTgjTfeQPfu3dGhQwf069cPc+bMQX5+/p12keiOcR8BIiIiapB0Oh3Gjx+PPXv2QKVSoWPHjnBwcMDJkydRUFCAjh07YuXKlcZN+2JiYvDiiy9Cr9ejS5cucHFxwcGDB1FcXIxx48bhjTfeqPa58vLyMGLECKSmpuK1117D+PHjq5yTlJSEYcOGQaPRICQkBP7+/khOTsbFixfh6+uLdevWoXnz5mb7/yD6N14RICIiogZp/fr12LNnD0JCQvDHH3/g+++/x/Lly7Fjxw506tQJJ0+eNH56X1xcjLfffhsA8N1332HlypVYsmQJtmzZAh8fHyxZsgRnzpwx+Txnz57FsGHDkJqaWmM8b775JjQaDaZMmYLffvsNCxcuxB9//IGhQ4fiypUrmDt3rrj/AUS1YCFAREREDdKvv/4KAJgyZUqlT9o9PDwwbdo0AMDvv/8OANi8eTNyc3MxaNAg3HfffcZz/f39MXHiRADAqlWrKrVfVFSEhQsXIjo6GhcuXECrVq2qjSU+Ph6pqakIDQ3Fc889ZzyuUCjw+uuvAwD2799/550lugMOUgdAREREZA5NmzZF69atERERUeW+e+65BwBw7do1ALffhD/88MNVzn3ooYegUCiwb9++Sse3/3979x9TVf3Hcfx1iV9eLoX8ChK1GxQUbWWTFS4qcctY0A/X+uFyoyyoTLe25mhs9YdGm0ATMio3/igyraGRgRgDf6QTN2gZdBnpBJIfEpiBKMglOd8/mPercf2BXLU4z8dfZ+fzOZ/zPoyN8+Kcz+dUVuqjjz5SWFiYcnNz1dzcrHXr1rmtJT4+Xnv37tXQ0NC4tlOnTkmSvL25LcO1xW8cAACYkj799NMLtjU2NkqSIiIiJEmHDh2SJN1xxx3j+tpsNoWHh+vo0aM6duyYQkNDJUlBQUFavny5XnrpJQUEBKi5ufmi9YSFhY3bNzAwoNWrV0uSnnjiicu4KsBzCAIAAMBUDMNQQUGBJOnRRx+VJPX29kpyf7N+dv8/g0BycrKSk5OvqIbvvvtOZWVlOnDggIaGhvTMM89cdDIycDUwRwAAAJjKhx9+qLq6OoWGhuqVV16RJNcrO/7+/m6PObt/cHDQIzXs3r1b+/bt0+DgoLy8vNTX16fu7m6PjA1cLoIAAAAwjYKCAq1fv16+vr5au3atgoODJY1N2rVYLLJYLBc9fnR01CN1ZGVlqbGxUdu2bVNqaqqqq6u1ePFi9ff3e2R84HIQBAAAwJT3999/691331VRUZH8/Py0bt06JSQkuNqnTZsmwzDcfmRMGlteVJICAgI8Uk94eLh8fX0VHR2tNWvW6KGHHlJPT482bdrkkfGBy0EQAAAAU9qpU6f02muv6euvv9aNN96o4uJiPfzww+f1CQ8Pl/T/uQL/dKk5BJOVlpYmSWpqaroq4wPuEAQAAMCU1d/fryVLlmjPnj2KjIzUhg0bznsScNbtt98uSW4/Cnby5En19PQoODjYNVF4ompra5Wdna3y8nK37b6+vpLGnlwA1wpBAAAATElOp1MZGRlyOByKiYnRpk2b3C4PKklJSUmSpOrq6nFtO3bs0JkzZ8Y9RZiIY8eOqbS0VJ9//rnb9rPfKLjrrruu+BzARBEEAADAlFRYWKgDBw4oMjJSJSUlrm8GuLNw4UKFhITo22+/1e7du13729vblZ+fL4vFovT09CuuZcGCBQoNDVVDQ4PWr19/Xts333yjLVu2yGaz6dlnn73icwATxXcEAADAlPPXX3+ppKREkhQcHKycnJwL9s3Ly5PNZtOqVau0YsUKZWZmKiEhQQEBAdq/f7+Ghob01ltvKS4u7orrsVqtys3N1euvv678/HyVlZXJbrerpaVFLS0tslqtWrt27VWbgwC4QxAAAABTTl1dnWulH4fDIYfDccG+eXl5ksb+a19SUqKPP/5Yv/zyiwzDUGxsrNLT05WSkjLpmubNm6fNmzfrk08+UW1trXbt2qWQkBAtWrRIGRkZstvtkz4HMBEWwzCM610EAAAAgGuLOQIAAACACREEAAAAABMiCAAAAAAmRBAAAAAATIggAAAAAJgQQQAAAAAwIYIAAAAAYEIEAQAAAMCECAIAAACACREEAAAAABMiCAAAAAAm5H29CwAA/Ht1dHRowYIFbtt8fHxktVoVFRWlpKQkPf/884qMjPTo+Q8fPqzo6GiPjgkAGGMxDMO43kUAAP6dzg0Cd999t3x9fV1tIyMjOn78uLq6umQYhgICApSTk6PHHnts0uft7e3V+++/r/b2dm3evHnS4wEAxuOJAADgshQUFCgqKmrc/u7ubq1Zs0YVFRV6++23ddNNNykxMXFS59qzZ48qKysVHx8/qXEAABfGHAEAwKREREQoPz9fCxcu1MjIiLKzszUyMnK9ywIAXAJBAAAwaRaLRe+99578/PzU2dmp8vLy610SAOASeDUIAOARISEhmj9/vrZv366dO3fq6aefdrW1t7friy++0P79+9XZ2Smn06mgoCDdc889WrJkiR544AFX3+TkZHV2dkqSHA6HYmNjNWPGDO3YscPVx+l06quvvtL333+vlpYWGYYhu92u1NRUvfjii/Lz87t2Fw4A/1EEAQCAx8yZM0fbt29XfX29a9/evXu1bNkynT59WoGBgZo1a5aGh4fV3t6u6upq1dTUKC8vT6mpqZLGJiX7+Piora1NVqtVcXFxCgsLc43X19enV199VQ0NDfLy8tLMmTPl7++v3377TU1NTaqoqFBxcbGmT59+za8fAP5LeDUIAOAxM2bMkCT9+eefGhkZkdPp1DvvvKPTp08rPT1d+/btU1lZmSorK7Vr1y7NmzdPhmGoqKjINUZhYaEyMzMlSXa7XRs3blRhYaGrPSsrSw0NDZozZ45++OEHVVVVaevWraqpqdHcuXPlcDiUnZ19bS8cAP6DCAIAAI8JCAhwbff39+vXX3/V4OCgbr75Zq1cufK85UdDQ0O1bNkySVJra6tGR0cvOX5jY6N27typ6dOnq6ioSLNmzXK1RUZGqrCwUFarVTU1NWpubvbglQHA1EMQAAB4zLmrBVksFt1333366aefVFVVpRtuuGFc/2nTpkmSRkdHNTw8fMnxa2pqJEmJiYkKDg4e1x4SEuJauvTHH3+8omsAALNgjgAAwGNOnjzp2g4MDHRt+/v7y+FwqKmpSUeOHNGRI0d08OBBtba2uvpczhOBw4cPS5Lq6+v1wgsvuO3T0dEhSeeNDQAYjyAAAPCYlpYWSVJUVJTrNaC6ujp98MEHcjgcrn4Wi0WzZ89WWlqatm7detnjnw0aPT096unpuWjfgYGBiZYPAKZCEAAAeMzPP/8sSbr33nslSQcPHtTLL78sp9OpuXPn6sknn1RsbKyio6Nls9nU2to6oSBw9lWilStXaunSpR6vHwDMhCAAAPCIrq4u1dbWSpJSUlIkSSUlJXI6nUpMTFRxcfG4eQLd3d0TOsfs2bMl/f/JgztNTU2yWCyaOXOmbDbbhMYHADNhsjAAwCNWr16t0dFRxcTEaP78+ZLk+jBYbGys28nCpaWlru0zZ864tr283P95euSRRyRJVVVVOn78+Lj2gYEBpaen66mnnlJlZeUVXwsAmAFBAAAwKW1tbVqxYoVqamrk4+OjVatWuW76b731VknStm3b9Pvvv7uO6e/vV05OjsrLy137zl01yGq1ShqbC+B0Ol3777//fiUkJOjEiRPKzMw8b8w//vhDb7zxhvr7+xUWFqa0tLSrcr0AMFVYDMMwrncRAIB/p46ODi1YsEDS2Bd/z/0OwPDwsHp6etTb2ytJstlsys3NVXJysqtPe3u7Fi1apBMnTsjb21t2u10Wi0VtbW1yOp2Ki4tTd3e3+vr6tGXLFsXHx0saW/EnJSVFhmHolltuUUREhDZu3Chp7IZ/6dKlOnTokCwWi2JiYuTl5aWWlhaNjIzIZrPpyy+/1J133nmtfkwA8J9EEAAAXNC5QeCfvL29FRgYqNtuu01JSUl67rnn3K7t39XVpcLCQtXX16u7u1v+/v6y2+16/PHHtXjxYmVlZamiokLLly/Xm2++6TqutLRUn332mY4ePaqgoCCVlZUpNDRUkjQ0NKQNGzaosrLSFQDCw8P14IMPKiMjQ1FRUVfnBwIAUwhBAAAAADAh5ggAAAAAJkQQAAAAAEyIIAAAAACYEEEAAAAAMCGCAAAAAGBCBAEAAADAhAgCAAAAgAkRBAAAAAATIggAAAAAJkQQAAAAAEyIIAAAAACYEEEAAAAAMCGCAAAAAGBCBAEAAADAhAgCAAAAgAkRBAAAAAATIggAAAAAJkQQAAAAAEzof6ZVawj4KQ2JAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 301,
       "width": 385
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lake_Bilancino[\"2012-10-26\":\"2013-01-22\"][\"HG08\"].plot();  # 1828.2 1419.8 mm "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "J6HZSW8GYnkf",
    "outputId": "49722dff-da66-4bd7-af52-e1da0322849a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2012-10-26     102.0\n",
       "2012-10-27     197.2\n",
       "2012-10-28     256.4\n",
       "2012-10-29     266.6\n",
       "2012-10-30     266.6\n",
       "               ...  \n",
       "2013-01-18    1600.6\n",
       "2013-01-19    1659.8\n",
       "2013-01-20    1788.8\n",
       "2013-01-21    1804.6\n",
       "2013-01-22    1828.2\n",
       "Name: HG08, Length: 89, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino[\"2012-10-26\":\"2013-01-22\"][\"HG08\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oedtQhEwYnkf"
   },
   "source": [
    "It takes 1828.2 mm rainfall water over an area of 35.7 km² to fill a lake area of 5 km² over a height of 8.5 m: total volume of  m³."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "k3EG-5LWYnkf",
    "outputId": "38f9298b-057c-4176-9574-b729a2b510df"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42650000.0 m³ 65266740.0 m*m²\n"
     ]
    }
   ],
   "source": [
    "print(5000000*8.53, \"m³\", 1.8282*35700000, \"m*m²\")  "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "ZbIeutGsYnkg",
    "outputId": "946c1ee0-2256-4ea5-d682-debff3e2ba4f"
   },
   "source": [
    "pd.to_datetime(\"2013-03-01\" )-pd.to_datetime( \"2012-10-20\" )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wiy5HZ3hYnkg",
    "outputId": "81917968-dab3-45bc-caa3-965ad376aa53"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "TZnIz82sYnkg",
    "outputId": "27e12844-780a-47cc-ed11-60787e019e4e"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1512x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1278
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1,  figsize=(21, 4)) \n",
    "sns.lineplot(x= \"Date\", y=\"HG08\",data=Lake_Bilancino)\n",
    "ax2 = ax.twinx()                \n",
    "sns.lineplot(x= \"Date\", y=\"Lake_Level\",data=Lake_Bilancino, color=\"g\",ax=ax2 )\n",
    "plt.xticks(rotation=90); #\n",
    "plt.xlim(pd.to_datetime( \"2012-10-20\" ),pd.to_datetime(\"2013-02-01\" ) ); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "h3nmDGujYnkh"
   },
   "source": [
    "The daily lake water loss, by infiltration, evaparation, run off etc., is equiv. with a height loss of about 4.5 cm. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "TVZaJlahYnkh",
    "outputId": "42acd687-ae73-44e9-890a-2ae6fca8b657"
   },
   "outputs": [],
   "source": [
    "0.045*5000000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9Btm3rOAYnki"
   },
   "source": [
    "Lake_Bilancino[\"2012-11-16\":\"2013-01-01\"].loc[:,[\"Rainfall\",\"Peil\", \"Lev_1\" ,\"HG08\"]] #Lake_Level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "id": "wQfch8geYnkj",
    "outputId": "d980f026-fc82-46f9-b334-fd97d5ddceb3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>FreRain</th>\n",
       "      <th>HG08</th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Lev_1</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>StoRain</th>\n",
       "      <th>Temperature_Le_Croci</th>\n",
       "      <th>isDry</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-10-26</th>\n",
       "      <td>0.60</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>243.53</td>\n",
       "      <td>-1.00e-02</td>\n",
       "      <td>31.2</td>\n",
       "      <td>186.2</td>\n",
       "      <td>102.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>586.0</td>\n",
       "      <td>133.2</td>\n",
       "      <td>31.8</td>\n",
       "      <td>30.4</td>\n",
       "      <td>39.8</td>\n",
       "      <td>20.8</td>\n",
       "      <td>10.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-27</th>\n",
       "      <td>0.60</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>95.2</td>\n",
       "      <td>197.2</td>\n",
       "      <td>243.59</td>\n",
       "      <td>-1.00e-02</td>\n",
       "      <td>37.8</td>\n",
       "      <td>260.8</td>\n",
       "      <td>197.2</td>\n",
       "      <td>197.2</td>\n",
       "      <td>681.2</td>\n",
       "      <td>133.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>20.4</td>\n",
       "      <td>29.8</td>\n",
       "      <td>29.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-28</th>\n",
       "      <td>0.60</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>59.2</td>\n",
       "      <td>256.4</td>\n",
       "      <td>243.77</td>\n",
       "      <td>6.00e-02</td>\n",
       "      <td>21.0</td>\n",
       "      <td>318.2</td>\n",
       "      <td>256.4</td>\n",
       "      <td>256.4</td>\n",
       "      <td>740.4</td>\n",
       "      <td>80.2</td>\n",
       "      <td>20.4</td>\n",
       "      <td>20.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>15.2</td>\n",
       "      <td>5.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-29</th>\n",
       "      <td>0.60</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>266.6</td>\n",
       "      <td>243.86</td>\n",
       "      <td>1.80e-01</td>\n",
       "      <td>2.4</td>\n",
       "      <td>267.0</td>\n",
       "      <td>164.6</td>\n",
       "      <td>266.6</td>\n",
       "      <td>750.6</td>\n",
       "      <td>12.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>44</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-30</th>\n",
       "      <td>0.60</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>266.6</td>\n",
       "      <td>243.90</td>\n",
       "      <td>9.00e-02</td>\n",
       "      <td>0.2</td>\n",
       "      <td>267.0</td>\n",
       "      <td>69.4</td>\n",
       "      <td>266.6</td>\n",
       "      <td>750.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.30</td>\n",
       "      <td>17.0</td>\n",
       "      <td>10</td>\n",
       "      <td>44</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-18</th>\n",
       "      <td>7.00</td>\n",
       "      <td>604800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1600.6</td>\n",
       "      <td>250.89</td>\n",
       "      <td>9.00e-02</td>\n",
       "      <td>2.6</td>\n",
       "      <td>179.4</td>\n",
       "      <td>41.2</td>\n",
       "      <td>171.8</td>\n",
       "      <td>1059.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-19</th>\n",
       "      <td>7.00</td>\n",
       "      <td>604800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1659.8</td>\n",
       "      <td>250.84</td>\n",
       "      <td>-2.00e-02</td>\n",
       "      <td>18.2</td>\n",
       "      <td>238.6</td>\n",
       "      <td>64.4</td>\n",
       "      <td>220.2</td>\n",
       "      <td>1118.6</td>\n",
       "      <td>77.4</td>\n",
       "      <td>19.0</td>\n",
       "      <td>21.8</td>\n",
       "      <td>18.4</td>\n",
       "      <td>12.8</td>\n",
       "      <td>5.4</td>\n",
       "      <td>59.2</td>\n",
       "      <td>2.15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-20</th>\n",
       "      <td>7.00</td>\n",
       "      <td>604800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1788.8</td>\n",
       "      <td>251.24</td>\n",
       "      <td>-5.00e-02</td>\n",
       "      <td>53.4</td>\n",
       "      <td>367.4</td>\n",
       "      <td>189.6</td>\n",
       "      <td>285.2</td>\n",
       "      <td>1247.0</td>\n",
       "      <td>182.4</td>\n",
       "      <td>42.8</td>\n",
       "      <td>40.4</td>\n",
       "      <td>45.8</td>\n",
       "      <td>37.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>129.0</td>\n",
       "      <td>8.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-21</th>\n",
       "      <td>7.20</td>\n",
       "      <td>622080.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1804.6</td>\n",
       "      <td>251.84</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>4.2</td>\n",
       "      <td>383.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>269.2</td>\n",
       "      <td>1262.2</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>6.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>15.8</td>\n",
       "      <td>9.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-22</th>\n",
       "      <td>11.37</td>\n",
       "      <td>982368.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1828.2</td>\n",
       "      <td>252.00</td>\n",
       "      <td>6.00e-01</td>\n",
       "      <td>13.4</td>\n",
       "      <td>406.6</td>\n",
       "      <td>168.4</td>\n",
       "      <td>268.8</td>\n",
       "      <td>1218.8</td>\n",
       "      <td>37.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>4.2</td>\n",
       "      <td>23.6</td>\n",
       "      <td>6.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Flow_Rate  Flow_Rday  FreRain    HG08  Lake_Level     Lev_1  \\\n",
       "Date                                                                      \n",
       "2012-10-26       0.60    51840.0    102.0   102.0      243.53 -1.00e-02   \n",
       "2012-10-27       0.60    51840.0     95.2   197.2      243.59 -1.00e-02   \n",
       "2012-10-28       0.60    51840.0     59.2   256.4      243.77  6.00e-02   \n",
       "2012-10-29       0.60    51840.0     10.2   266.6      243.86  1.80e-01   \n",
       "2012-10-30       0.60    51840.0      0.0   266.6      243.90  9.00e-02   \n",
       "...               ...        ...      ...     ...         ...       ...   \n",
       "2013-01-18       7.00   604800.0      NaN  1600.6      250.89  9.00e-02   \n",
       "2013-01-19       7.00   604800.0      NaN  1659.8      250.84 -2.00e-02   \n",
       "2013-01-20       7.00   604800.0      NaN  1788.8      251.24 -5.00e-02   \n",
       "2013-01-21       7.20   622080.0      NaN  1804.6      251.84  4.00e-01   \n",
       "2013-01-22      11.37   982368.0      NaN  1828.2      252.00  6.00e-01   \n",
       "\n",
       "            RainNO_2  Rain_14  Rain_3  Rain_7  Rain_72  Rainfall  \\\n",
       "Date                                                               \n",
       "2012-10-26      31.2    186.2   102.0   102.0    586.0     133.2   \n",
       "2012-10-27      37.8    260.8   197.2   197.2    681.2     133.0   \n",
       "2012-10-28      21.0    318.2   256.4   256.4    740.4      80.2   \n",
       "2012-10-29       2.4    267.0   164.6   266.6    750.6      12.6   \n",
       "2012-10-30       0.2    267.0    69.4   266.6    750.6       0.2   \n",
       "...              ...      ...     ...     ...      ...       ...   \n",
       "2013-01-18       2.6    179.4    41.2   171.8   1059.4       4.0   \n",
       "2013-01-19      18.2    238.6    64.4   220.2   1118.6      77.4   \n",
       "2013-01-20      53.4    367.4   189.6   285.2   1247.0     182.4   \n",
       "2013-01-21       4.2    383.0   204.0   269.2   1262.2      20.0   \n",
       "2013-01-22      13.4    406.6   168.4   268.8   1218.8      37.0   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Rainfall_Mangona  \\\n",
       "Date                                                                  \n",
       "2012-10-26                31.8               30.4              39.8   \n",
       "2012-10-27                45.0               20.4              29.8   \n",
       "2012-10-28                20.4               20.8              18.0   \n",
       "2012-10-29                 3.0                4.6               2.6   \n",
       "2012-10-30                 0.0                0.0               0.0   \n",
       "...                        ...                ...               ...   \n",
       "2013-01-18                 0.0                0.2               1.2   \n",
       "2013-01-19                19.0               21.8              18.4   \n",
       "2013-01-20                42.8               40.4              45.8   \n",
       "2013-01-21                 5.8                6.6               3.4   \n",
       "2013-01-22                 7.6                8.0               8.0   \n",
       "\n",
       "            Rainfall_S_Agata  Rainfall_S_Piero  StoRain  Temperature_Le_Croci  \\\n",
       "Date                                                                            \n",
       "2012-10-26              20.8              10.4      NaN                 15.70   \n",
       "2012-10-27              29.8               8.0      NaN                 15.50   \n",
       "2012-10-28              15.2               5.8      NaN                 10.10   \n",
       "2012-10-29               2.0               0.4      NaN                  7.40   \n",
       "2012-10-30               0.2               0.0      NaN                  6.30   \n",
       "...                      ...               ...      ...                   ...   \n",
       "2013-01-18               2.6               0.0      1.4                  4.40   \n",
       "2013-01-19              12.8               5.4     59.2                  2.15   \n",
       "2013-01-20              37.0              16.4    129.0                  8.10   \n",
       "2013-01-21               3.4               0.8     15.8                  9.25   \n",
       "2013-01-22               9.2               4.2     23.6                  6.85   \n",
       "\n",
       "            isDry  month  week  year  \n",
       "Date                                  \n",
       "2012-10-26    NaN     10    43  2012  \n",
       "2012-10-27    NaN     10    43  2012  \n",
       "2012-10-28    NaN     10    43  2012  \n",
       "2012-10-29    NaN     10    44  2012  \n",
       "2012-10-30   17.0     10    44  2012  \n",
       "...           ...    ...   ...   ...  \n",
       "2013-01-18    NaN      1     3  2013  \n",
       "2013-01-19    NaN      1     3  2013  \n",
       "2013-01-20    NaN      1     3  2013  \n",
       "2013-01-21    NaN      1     4  2013  \n",
       "2013-01-22    NaN      1     4  2013  \n",
       "\n",
       "[89 rows x 23 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino[\"2012-10-26\":\"2013-01-22\"].pivot_table(index=\"Peil\",columns=\"RainNO_3\",aggfunc=np.cumsum)  # [\"Lake_Level\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "H04fQ0BfYnkj"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qVvsBBbJYnkk"
   },
   "source": [
    "Flow rate of 8.0-8.2 m³/s seems a tipping point for the lake system. So what is the amount of rain in that case? 691200 m³ on 1 day. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DBj13DV5Ynkk"
   },
   "source": [
    "I estimate the surface area of the 5 measure points 15* 17 km², but for the 3 lake meteo stations < 40 km². "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "FxOEe1NhYnkk",
    "outputId": "21cd92bc-79c8-4753-beb2-228178f3f8c2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.760967790945002 4.0734275897209145 6.834395380665916\n"
     ]
    }
   ],
   "source": [
    "print(Lake_Bilancino.Flow_Rate.mean(), Lake_Bilancino.Flow_Rate.std(), Lake_Bilancino.Flow_Rate.mean()+ Lake_Bilancino.Flow_Rate.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "id": "Y4CsQwPEYnkk",
    "outputId": "7fa812cd-9fab-436e-cbbd-d0e9942be43b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "691200000"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "8*60*60*24*1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "oqY3P7nkYnkk",
    "outputId": "1bbdb114-0468-4a13-fba5-27a1f627d60e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.7"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(Lake_Bilancino.Flow_Rday.mean()*(1000)/35700000, 1) #+ Lake_Bilancino.Flow_Rday.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "eewlgBzrYnkk",
    "outputId": "37139cc2-0afc-4d64-8bb0-01fab17b00ac"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16.5"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round((Lake_Bilancino.Flow_Rate.mean()+ Lake_Bilancino.Flow_Rate.std())*(1000*24*3600)/35700000 , 1) #= Lake_Bilancino.Rainfall/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "z89nnFpdYnkl"
   },
   "source": [
    "### m³/s - mm/d conversion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dPtHc5DHYnkl"
   },
   "source": [
    "Easiest way to convert: express rainfall in meters, then multiply by the area in square meters, get cubic meters. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aZP2MpuNYnkl"
   },
   "source": [
    "divide discharge (m3/s) by area of your basin then you get  it in m/s. If you have your precipitation in mm/day, you could then get mm/day for discharge by\n",
    "$$Q (mm/day) = Q(m^3/s) *1000*24*3600/ Area (m^2)$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zdlsqCRzYnkl"
   },
   "source": [
    "$$Q (mm/day) * Area (m^2)/ (1000*24*3600)= Q(m^3/s)$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "id": "j9EzoXE0Ynkl"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"R_m³\"]= Lake_Bilancino.Rainfall*95700000/(1000)# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "id": "LQM5G1TiYnkl"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"R_NO_3_m³\"]= Lake_Bilancino.RainNO_3*35700000/(1000)# 1000*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "id": "Tvo8Unk_Ynkm"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"R_NO_2_m³\"]= Lake_Bilancino.RainNO_2*40000000/(1000)#  1000*   or 40km³? estimate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vR5vNM-YYnkm"
   },
   "source": [
    "Let's first have a look if the flow rate is a function of the (3 vs) 2 eastern meteostations ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "xQpwplz7Ynkm",
    "outputId": "bde83970-829a-49b5-d90c-ec2b2c3c207f"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 386,
       "width": 1161
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=(20, 6)) \n",
    "sns.lineplot(x=\"Date\", y=Lake_Bilancino[\"R_NO_3_m³\"], data=Lake_Bilancino.loc[\"2012-11-01\":\"2014-01-01\"], ax=ax ) \n",
    "sns.lineplot(x=\"Date\", y=Lake_Bilancino[\"R_NO_2_m³\"], data=Lake_Bilancino.loc[\"2012-11-01\":\"2014-01-01\"],color=\"green\", ax=ax ) \n",
    "sns.lineplot(x=\"Date\", y=Lake_Bilancino[\"Flow_Rday\"], data=Lake_Bilancino.loc[\"2012-11-01\":\"2014-01-01\"],color=\"darkorange\" ,ax=ax );  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "id": "zsLWdk1xYnkm"
   },
   "outputs": [],
   "source": [
    "R_NO_2_m3cumul =Lake_Bilancino[\"R_NO_2_m³\"].loc[\"2012-11-01\":\"2014-01-01\"].cumsum()\n",
    "R_NO_3_m3cumul =Lake_Bilancino[\"R_NO_3_m³\"].loc[\"2012-11-01\":\"2014-01-01\"].cumsum()\n",
    "Flow_Rdaycumul =Lake_Bilancino[\"Flow_Rday\"].loc[\"2012-11-01\":\"2014-01-01\"].cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "id": "VjwIJFzdYnkm"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"R_NO_2_m3cumul\"] =Lake_Bilancino[\"R_NO_2_m³\"].rolling(365).sum().fillna(method='bfill', limit=365)\n",
    "Lake_Bilancino[\"R_NO_3_m3cumul\"] =Lake_Bilancino[\"R_NO_3_m³\"].rolling(365).sum().fillna(method='bfill', limit=365)\n",
    "Lake_Bilancino[\"Flow_Rdaycumul\"] =Lake_Bilancino[\"Flow_Rday\"].rolling(365).sum().fillna(method='bfill', limit=365)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "id": "-yyi2MnRYnkm",
    "outputId": "c651de25-1117-4873-bbfe-d683727c2b1a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 289,
       "width": 392
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "R_NO_3_m3cumul.plot(); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "H2kC7QU7Ynkm",
    "outputId": "a796b7d1-6136-4534-8334-7492d77dd5c2"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 332,
       "width": 1176
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1,  figsize=(20, 5)) \n",
    "sns.lineplot( data=R_NO_3_m3cumul.loc[\"2012-11-01\":\"2014-01-01\"], ax=ax ) \n",
    "sns.lineplot( data=R_NO_2_m3cumul.loc[\"2012-11-01\":\"2014-01-01\"],color=\"green\", ax=ax ) #x=\"Date\", y=R_NO_2_m3cumul[\"R_NO_2_m³\"],\n",
    "sns.lineplot(data=Flow_Rdaycumul.loc[\"2012-11-01\":\"2014-01-01\"],color=\"darkorange\" ,ax=ax );  #x=\"Date\", y=Flow_Rdaycumul[\"Flow_Rday\"] , "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "id": "8DscUMPpYnkm"
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"balance_m³\"] =Lake_Bilancino.R_NO_3_m3cumul - Lake_Bilancino.Flow_Rdaycumul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "id": "KHXPmq_OYnkn",
    "outputId": "ae9686e6-6071-49ee-b670-26ee155791cf"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CIAiV2Lz3pPfvNbnHVewJQRDhRqgoAMC/PslVoSfskKJAEARBECphabR5/26xOVTsCUEQ4UZCT8CRkrrIdyQISFEgCIIgiCigxRb9qRIJgggdKYtCtEPBzIQimEwmtbsQM5Cs2CA5sUFyYiMW5GSzq29RiAU5RQMkJzZITnzkFAUl5aTVauF0KrfoQIoCoQiDBg1SuwsxA8mKDZITGyQnNqJVThoN4EmEYneov9oYrXKKNkhObJCc+AizHnlQUk4mkwlms1mx85HrEUEQBEFEiPJqK979bh+255UDAOIMOpV7RBBEpIhF1yNSFAiCIAgiQjz7/lZ8s/4wnlm2FWZrC+L09BomiPaCsDJzLEBPKEIRcnNzkZsb3Sm+ogWSFRskJzZITmxEg5yq65u8GU7sDidKKy1RV2AtGuQUC5Cc2CA58ZFzPVJSTkq6HQGkKBAEQRBERNhZcIq3rdNqUF5t5e0rKKqOZJcIgoggziiIQwoWVYOZN2/ejKVLl6KgoAA2mw1DhgzBggULMGXKlICfvfHGG7F169aA7e666y7cfffd3u2ZM2fi+HH5ojb79++HXk8x3gRBEISyvPvdPt62tckuarP06714+W9TI9UlgiAiiEPCotAhPUGFnrCj2ox4xYoVePjhhxEXF4cJEybA6XRiy5YtWLBgARYvXoxrrrnG7+fPPPNMdOzYUfKYxWLBmjVrAPAjyRsaGnDixAlkZWVh4sSJkp/VasnIQhAEQShPg9XG2/5lS5GoTeHx2gj1hiCISCMVzNwxI1GFnrCjiqJQXl6Oxx9/HMnJyfj000/Rv39/AMCePXswb948PPPMM5g2bZqsIgAAt99+u+yxf/zjHwCABQsWYObMmd79eXl5cLlcmD59Op5++mmF7oYgCIIggmfdjhNqd4EgiAgiFaMQDfVT/KHK8vknn3yClpYWzJ0716skAMDw4cOxYMECNDc3Y/ny5SGd+7vvvsPKlSsxZMgQ/O1vf+MdO3DgAABgyJAhIfedIAiCIEIhwUipUAmiPSNlUbA7orsiuyqKwsaNGwGAt9rvwbNvw4YNQZ/XbDbjxRdfhFarxdNPPy2KNcjLywNAigJBEAQReWx2tkDGaF9hJAgiNGobmkX7oqHQoj8i7nrkcrlQWFgIrVaL3r17i4737NkTWq0WhYWFcLlc0Gg0zOd+6623UFFRgWuuuQaDBw8WHT9w4AB0Oh2OHj2KF154AQUFBdBoNBgzZgzuuOMODB8+vFX31p7JyclRuwsxA8mKDZITGyQnNqJBTk4n28rhj5uPYcYZOUhKiHzq1GiQUyxAcmKD5MSnrMoi2mezOxSVk9FoRHOzWCEJFY3LJZPUNUzU1tZi/PjxyMjIwB9//CHZ5swzz0RVVRVyc3ORlJTEfN5p06bBbrfj119/RefOnXnHW1paMGrUKNjt7iwTw4YNQ8eOHXHo0CEUFRXBYDDgX//6F84777zW3aCAgoICvzltc3JykJ2dDQCoqKhAcXGxbNsxY8Z4/87Ly4PVapVsl5WVhR49egBwB3bn5+fLnnPgwIFITHQH0hQVFaGyslKynclk4gWG+8v3S/dE9wTQPdE90T1xcbpcWPxZieznhaQl6vDojYPRv597QS0a74lLW/meuNA90T0Byt7Tuj01+HBVHm9/WqIOf7uUP2dV4p6SkpIwYMAA2f6wEnHXo8bGRgBAQoJ8Oqj4+HgA7ptmZfny5WhsbMSll14qUhIA94TdbrcjMTER77//Pr766iu88cYb+OWXX/Dwww/DZrPh4YcfRkVFRZB3RBAEQRD+YTQmeKm1OLB5f1V4OkMQhCo028RuheYmByxN0etuGHGLQnl5OaZMmYKuXbt6U5gKmTFjBkpKSrB+/Xp06tQp4DmdTiemT5+OsrIy/PTTT+jVq5dku4qKCrS0tKBr166iY3feeSdWr16NhQsX4i9/+UtwN+UHj0VBKc0uWvEoWJ4VAEIekhUbJCc2SE5sqC2npmY7rnrkh6A+c+FZvXDb7Mi6xKotp1iB5MQGyYnPu9/twzfrD4v2awAsunkYxg0Xu+QHy759+9Dc3By7FgWTyQQAfv2nmpqaeG0DsWPHDpSVlWHUqFGySgLgHqhSSgIATJ8+HYBbwETwFBcX+zUNEj5IVmyQnNggObGhtpwcEtlOAmFtsgVupDBqyylWIDmxQXLi0yJhUQAAF4BXvjigyDWUjE8AVFAUkpKSYDKZUFNT440X4GK321FTUwOj0YiUlBSmc/72228AgAsvvDDkfnm0XY+SQhAEQRBKEUoKRKnKzQRBxC6WRvnfdENjdLofRVxR0Gg06Nu3LxwOB44dOyY6fvToUTidTl59hUB4Uqmee+65sm1WrVqFhQsXYuXKlZLHT5xwF75hcXUiCIIgiGDg5k9PSzaKji+4dKhoX72lJax9IggisqzfGXtFFlWpozB58mQAwOrVq0XHPPumTp3KdC6z2YzDhw+ja9eufis5V1VV4fvvv8dnn30mOuZyufDdd98BACZNmsR0XYIgCIJghZsrXafV4PFbJ3i375szChdPFvsml1bKZ8wjCCL26JqdqHYXgkYVRWH27NkwGo14++23eTEBe/fuxTvvvIP4+Hhcd9113v3FxcU4fPgwGhoaROfav38/XC4Xhg4Vr8ZwufDCC5GUlITc3Fy8//773v0ulwtvvPEGdu3ahf79+2PGjBmtv0GCIAiC4ODgpD3S6bQYO6gj3l10Dj576nzMGJsDjUaDQT0zeJ+pM7egqYXcjwiirRDtxdWkiHjBNQDo1q0bHnzwQSxevBjXXnstxo8fDwDYsmUL7HY7XnjhBWRmZnrbz507FyUlJXjuuecwe/Zs3rk8LkNZWVl+r5mRkYFnn30WCxcuxHPPPYevvvoKvXv3RkFBAY4dO4bs7Gy8/vrromrOBEG0XyprG/HM+1uh02jw6PzxSE0Su4wQBAvcYGad1l1ItEM6P2FH3rFq0ecsjTbEx9F7iSDaAqEkNVAb1Z4+119/Pbp06YJ33nkHO3bsQFxcHEaPHo3bb78dEydOZD5PdbX7wZqcnByw7axZs9C1a1e89dZb2LZtG44dO4YOHTrgxhtvxB133IGMjIyA5yAIov3w7nf7UHi8FgDwxle78cjccep2iIhZHJxgZr1Ow/w5mz34IGiCIKITRwhJDdQm4nUU2hvtpY4CQbRFLrv/O94K0DcvXgydThWPTSLGOVpah3teWgcA6Nk5Ba//Y7qozY9/HMObX+3m7XvzgRno3jHwQhhBENHPdY/+iAarfJKClS9d2uprKD3vpDceQRCEDMY4HW97xbpClXpCxDoObjCzjEVh1vgemHfREN4+ubzrBEHEHs5gS7RHAaQoEARByKDR8Cd0H67KU6knRKxj50wQ9FrpV69Wq8Hs6X0xICfdu49cjwii7WDnWKivP2+gij1hhxQFQhHy8vKQl0eTKBZIVmxEg5y0GvHKb0lFdKWsjAY5xQJqy4lrUdBq/ccoGAy+V3OkFQW15RQrkJzYIDnx4cYoXDalT1iuYbVaFT0fKQqEIlitVsUHZ1uFZMVGNMhJJzGhu+3539AcRe4g0SCnWEBtOR07We/922jQ+WkJGDhxMC32yI41teUUK5Cc2CA58eGmRzUYdLiEUz8lM1mZ/EJKuzeRokAQBCGDjIcI1mw/HtmOEDGNy+XC15z4lpzO/oOT4ziKRIuNXI8Ioi3AXSwA3AtR08d2924b9OzZ0CIJKQoEQRAySLkeAUC9pTnCPSFimfU7TqC82reqevEkcRVmLgY91/UoeqxXBEGETmVto2gf13oYrTUWSFEgCIKQQSPjS04BpkQw/Lm/zPv3WSO6oFNmot/2XIsCjTWCaBskGMWuRXo9V1GIZG/YIUWBIAhCBpuM24dJ4oFPEFI4nC5s2l3q3Z46qlvAz3AtCk0tZFEgiLaA0yVOaMCNg3OSRYEgCCK2qDVLuxhxA9IIwh/rcvnxLPFx/gOZAeDEKV9mrR83H1W8TwRBRBaH04Xn3t/m3R7RNwsAf1EgWl2PaFmMUISsrCy1uxAzkKzYiGY5NbXY1e6Cl2iWUzShlpyEge/ciYEc+49Uef8uKmtQvE/+oPHEBsmJDZKTm20HyngVmXcfqgAA6DkxCk6XMsHMer0edrty7yhSFAhF6NGjh9pdiBlIVmxEs5x2HazATReo3Qs30SynaEItOQlT7MYFSI2qNjSe2CA5sUFycsO1EgKAx3jATZWsVNbt+Ph4mM3K1fsh1yOCIAgGslLjvX8fOl6rXkeImEKn479mWSwK18zs7/07NSlO8T4RBBFZmgWxRqP6ZwMAjHE6b7xCi80BexRGNJOiQCiCxWKBxWJRuxsxAcmKjWiQE3dSN7BnBu9YtASeRYOcYgG15CRUDFgUhWF9fe4aPTqlKN4nf9B4YoPkxAbJyf2u+PzXAt6+Pt3SAAAajYaXHMPSaGv19RwOZRMgkKJAKEJ+fj7y8/PV7kZMQLJiIxrkxA0uS0sy8o5FS5xCNMgpFlBLTsKUiIkJhoCfMXICnvcUVireJ3/QeGKD5MQGyQnYnlcu2sct0WOK9z0jGptb/15pbBTXa2gNpCgQBEHIwLUaZHBcjwCgWSmHUqJN0yHdxNtOT46XaenDKIhjcEShOwJBEGxU1Ykn7pxMqTDF+xYPlLAoKA0pCgRBEBJwlQSNRlxNt0WmxgJBcHE4fePkhvMHhnQOUkoJInaJl6i74+JoClyLglUBi4LSkKJAEAQhAdftSKvRIN6oR3Z6gndfc5S4HhHRTb3FlxJRr2V75SYl8AOYSVEgiNilSWLyL2dRsJJFgSAIIjaQqqKZkuibwNHkjWDh5z+LvH8fK6tn+gxXIQUAm52sVwQRq2zec1K0j5sKg2tRsDRF3wIUKQoEQRAScP3CPbnwub7j5HpEBEswE/6OGb7YhmjJsBXrRGvlW6Lt0tRsx67TxdW4cF2PErkWhSayKBAEQcQE3DmFx6LALZYlzIvdnnn/+/24eOG3eOmTXLW7EnXodb70JudNYC8+xf1cNOZWjzW+//0I5iz6AW+t2KN2V4h2xPs/HJDcz1X+k0w+RYHrqhgtUGVmQhEGDgwtSK89QrJiQ205cR/kUhaFaHE9UltONfVN+N/aQgDAuh0ncPXM/ujeMVnVPkmhlpw6ZyXheHkDALaMRx60nHiGSK6Eqz2ewsVbX+8FAHy/6ShmT+8ncu8KlrYqJ6Vp73L6YdNRyf2HS+q8f6cl+1Jv1zY0t/qaCQkJiqZIJYsCoQiJiYlITExUuxsxAcmKDbXlxM1Wo41iRUFtOdUIXmwrNx5RqSf+UUtOPBc2jpUgEFyLgsMROUVB7fEUDoS/1QZr61dt26KcwgHJSRpufZX0JN8CQq259YqCTqcL3CgISFEgCIKQwCnIegTwC2G99EmuIsVxYp11O07wtlkqD7cnHDzLFLtsPFYs9znI9ag1CN2NuIkKCIIFl8uFX7cU4cvfDkpmMZIjp5O0dZX7+1baoqA09EQnFKGoqAhFRUWBGxIkK0bUlhN3bqaTiFEAgBse+zGSXZJEbTl9va6Qv4N90TyiqCWnUC0KOpVcj9QeT+Hg163FvG0lCti1RTmFg7YipwNHq/HaF7vw4ao8fP5rAfPnissaJPdzlVWlFYWmpqZWn4MLKQqEIlRWVqKyslLtbsQEJCs21JZTINcjAGiJgrSVasspVlBLTnbOJF+vC8KioJLrUXsYT9X1rZ+MtQc5KUFbkdOPm495//bEZAXCXwajHp1SvH/zFAVz6yf5druylm5SFAiCICSQqqMgtCgQRCCk0uyywLcoqK+QtiX2H6lSuwvtgqZmOw4UW2FujI54rtbgCsFd7QgnYBkAJo3ogmSTATmdknH1zP7e/UkJBnh+7o3NDjRFWTFPynpEEAQhAXcV15v1KI4UhUBootX3SCUcClgU7BG0KLQldh08hUff+kO0PxyKV1mVBRt3lWDC0M5RmfVLDV7+fAc276lGRrIek850BaUoRxsGA/+3e7S0Dr26pPr9TJ0g1emQ3pn4+3VjoNdpoNH4ZKHRaJAUr0O91a1Q1TY0o1Nm9EzPyaJAEAQhgZRFQeh6BAClFeaI9SkW0MTuXCAs2CUUTha4bZujbIUxVlgh4yLy/e9HFc9a9twH2/Dhqjw8/d4WKpB3Gk9F4uoGO46V1gVoHd0Y9Pxn/8c/5gf8jE0wxiYM7QyDXstTEjwkxvum40pkPlISUhQIgiAkcEpkq5FyPXrm/a0R61O08euW2A9SDDf8YOZgsh752j77/jZYGqOvYmu0c+BYteyxHfnlil3H6XR53UxKKy1RWTRLSUoqzDga5MQ/mKrk0Qg3nSkAbD1QFvAzzTbfPacnG5GVJl+7Iyne926pqFauBoISkKJAEETMY7M7sSP/FKrrlcv24AiQHtWDXFaL9sBrX+xSuwtRTb2lxTuO4gw6Xm2EQMQb+WPti9UHFe1be8Bf9fTqOuWeFULrxI1P/ARzG1XsCk/U4rbnf8M9L63D9jx2ZSvWFQUpi0hppX9rcgtnXEwc1tlv28xknyKyJvd4kL0LL6QoEIpgMplgMpnU7kZMQLJig1VODqcLsx9cicff/gN3vPAbahqUmQDw6iicflIaDdH3yKTxxIYacqqs9a0Mdso0SbocyJGUYOBtV9RGZpWxrYwnYUDoy/dNxaVT+ni3W5uxjCsnqeDTz34J7JoSi/zzo+3ev596b4tsu7e+5teuiGVFwdJow86DFaL9uyX2cbHZfYpCoEQYk4Zlef/ekV8eVK0GIdog6rWwED3REkRMM2jQILW7EDOQrNhgldOfe096/7Y02bFxZwmmju6G1CSjn08Fhhuj4HEDMRqi75EZbeMpmMlwJFFDTmVVFu/fwWbMEraPlFSjbTyFgs3uwOET/BXgPl1TsXlPqXe7xd66GAWunJqaxecqr7K26vzRCnchRi4WY/+RKnz/+1HevmMn6zB6YIew9i1cyFmNf/qzCKZ4A8YM7IAkU5zoONf1KNDvf+rEEfjvj6Wot7TA6QIsTTbEG0N735hMJpjNysXORd/yGEEQRBAcPcmfELz97T7MXfwL8ovE/sl7Citw2/OrRatdUnCzHnmCmYMpmNXWkUsXSNWq3ZgbbXjug23e7WAzvvzBUYABgMJj2ThYXIObnvgZD73xu3ffgB7p0Gg0vIBUm025FW6lA6OjGRbLgDAtKAAs+/5AOLoTESwy9RCOlNThX5/k4pH/bIJdoogfz6LAULE+Md5nRWzy4zYXaUhRIAgippGqZGl3OPHc+1txsLgGZqs7sPBISR3+7z+bUVJhwfe/H0WBhCLBRSrrkdTLoL3CnQRz+emPY5HtSJTy42b+imqwisKUUV152/GUmtcvn/yUjzte/A0LX90gig/okO52EeJO1pQslmhrpXUiFE5VW/Hpz/nI9xOwHQ64WbzkhnRbqzezfucJv8ePltZLfg9cWbGkRubGwLXG9UhpSFEgFCE3Nxe5ublqdyMmIFmxwSonuWww1fXNWPjqBsx59Efc9MRPuPff63jHSyoskp/z4JRIaxmNL0C1xpNwxTvaibScTtXwYwoarMFlwrlyRj/edqIgZiFcxOLzqaKmEZ//WoDj5dLuFp6MNdxc+MLUlcHClZPdHnl7z5Ivd+GzXwrwwJKNqmXEyuFUF+bS2CzuT3py61xB5aiqa8SRkrqQCqKxsmVf4AxHb3y1W7SPq0AaAlgUcnNzYbf53Lq+/O1QED3ko6TbEUCKAkEQMQ6L2b9GwuqQnS6fqg4AHC5x1qMhvTLRs7P0y5EguAgnLnKTWDlM8XzFINh0lO2J7zYe9nvcoyhw66BYFVyxVcPS6AmudbnUqzQt9wyVsvIO6pWh+PVPVVsxd/EvuPff6/DTn+FL1TxtTDfv35NGdJFsc+KUGeXV/LgUnkWBwfUoTu8z0WzaU+pNs6u2JZsUBYIgohKn04XlG6tw8cJvccVD3+P7349Imvj9pUD0x1EJP1rh9T1oT8cmaLUavHzfVLz5wAzZtgQBKPNyHz+kk/fvBmvbTLfZWuwOJ75Zz6YoZKf7sjmdrPRvUQwGm5R/egQnd6E+Ax1OFz7+KQ9vf7M3pHSuclXYHRLPw8Ym5V1pvlrrW3V/86vdYbMqcN2G+nVPl3UDPCVQFHgWBQbXI4OeL8/q+iY8+/5WXLtoFVZvLQ6my4qiagqPzZs3Y+nSpSgoKIDNZsOQIUOwYMECTJkyhenzJ0+exLRp02SPjx49Gp999hlvX3l5Od544w1s2rQJFRUV6Ny5My655BIsWLAAcXHiqHWCINShqKIZecfd7hstNgfe+novas3NuOE8flYW1kDC9GQjGpvt3iCxt7/dh4E9M9A/J12yvVOijgLgfml075iMOL3W6+fcYncgPi76MiKpQbcOSWp3ISpISWy9q8WIftnYst/t9mAO0nWpvdDC8Pv3uH3kdEz27isub4DL5VIkS5eUUrgj/1Srz8uKwxmaUvLDpiNY/qu7PkdGSjyuELi7BUJOdJKKQhh87ncJ0pPWNjQjPSVe8eus3HjE+3dVfSOMcTrJYGNzI/83ynVJY7EoaAUC/XPfSa+L56vLd2LmuJyg+q0UqlkUVqxYgXnz5mHnzp0YPnw4Ro0ahZ07d2LBggVYvnw50zkOHHBH0Q8YMAAXX3yx6N+kSZN47cvKynD11Vdj+fLlSElJwbRp02CxWPDaa69h/vz5sNloxYYgooV6q/hB7HmpcWGZKKx44WJ8+MR5GNiTb/7+xU9lYe7LVyoQlRt4FuqKXlvkxCll/WNjFSUsCp0yfSvgwpgHwo3UpFRI3+5pAIDM1HivdcHSaMPB4hpF+mBXuUYAiwyEtNgcePubfd7t939QLiuRQ2LsK+nqBQAHjlaJrEI/CBIIKIEwSDnvaDVG9MuWbPunIJaB+wxgCWbulM53N9zGUP05EqiyBFZeXo7HH38cycnJ+PTTT9G/f38AwJ49ezBv3jw888wzmDZtGjp27Oj3PHl5eQCAW2+9FZdccknA6z7xxBMoKyvDvffeizvuuAMAYLVaceedd2Lz5s346KOPcMstt7Ty7giCUAIDYypSlkm6Z0VROOH3Z43Yf8T3gtBKKApcVxBrk73VdRuItgWLAhuIYAOg2yPcNMZyDO/rLmal0WgwZmAH/L7bXU/h+01HMaBH633n5ZTCo6V16NUltdXnD8Qrn+/En/tOYuF1Y5hz73/HWSUPFbUsCuXVVl76Ww8lCi5S1FtaoNdp8Orynbz9V87oh77d0hAfp4fN7kC8UY8fNx8DAOw+xLdwcFPJBgpmBoBx/ZOwdk+9d7tRoj6HGqhiUfjkk0/Q0tKCuXPnepUEABg+fDgWLFiA5uZmJquCx6IwZMiQgG2PHDmCdevWIScnB7fddpt3v8lkwjPPPAOdToePP/44hLshCCIcsC7IBnI9GswJohNO+IWmXg9lVRZ8u8Hn9xzoIb9xV0mgbrYrYrkKq1IokYmmhyCrTFuKhTE32rBy45FWr+qzuN1wV3Onj+3u/btCISuN3HiXSqIQLv7cV4arHvkBz32wlUlJ/UBgQejTLXiF5s99ZTh0XPz9SY1Tq4IxCrsOVkAqHEEpq8W2A2W4+cmfcfOTP4sspH27paFDhgl3Xz0Sf79uDOZeONh7zBN87IH7PbAoCglxWpw/sad3W+0gZg+qKAobN24EAMycOVN0zLNvw4YNAc+Tl5cHk8mEXr16BWz7+++/w+VyYfr06aLy1l26dMHgwYNRUlKCwsJCllsgBOTk5CAnRx3/uViDZMVGWjrbSl8giwI3dkD4IJfLbf+/tfznQGaq/wxJ8Ub10qaqMZ6kggZTk3wxXtHoTx9pOYUSHCqkT7c03nYkCntFSk7//XoP/vvNXjzyn028INBTNVb8sOko8yTeLrAoCAtbTRjaibedxrH8tUaeXDnJTegsKgSgb95zMmDqYilLVZw+tGfY4//9U5TzX86ioESw8e6DFVjy5S7JY0oFTP9nxR7YHU7JOARuil3AHSjveY3Y7E6v25XN7sAujoUhUGptz3jq1YWzOBCiuIxGZa3bEVcUXC4XCgsLodVq0bt3b9Hxnj17QqvVorCw0O+gqq2tRWlpKXr16oVly5bhkksuwYgRIzBp0iQ8+uijKC8v57X3KAD9+kkH63j6cvCg2AeaCEx2djays6X99gg+JCs2EkyJTO0Cvey5sQTc1R9A2qUIAOrM/JVAqRWyGZyVyTCm8A6IGuNJSh5JCT5FoT4KFYVIy6nerIwMUhJ9co1ELEyk5LQ2113EqrnFgU9+zgfgnh88+c6fWLpiD577YCvTeVZt4vulv3zfVNxw/kAsvH4MXv7bVDwydxzvODdFamvkyZWTXIxCjblJcn+42Xu40u/xlz/bodi1Gqwt3u/Pg5Q7mNPpUkTRfeztP2SPKeXe5E9JNQom/BqNBnpuxe/TY+FnQbpW4eeEeMYTdyHbIXixsMaiGAzK1lyJeIxCXV0dWlpakJGRIZllSK/XIz09HVVVVbBYLEhKks6g4YlP2L9/Pw4ePIgzzjgDnTp1wt69e/HFF19g7dq1+PDDD70KwKlT7gwEHTp0kDyf5wdfWen/BxYqZrNZsohNTk6O99oVFRUoLpZPgTVmzBjv33l5ebBarZLtsrKy0KNHDwCAxWJBfn6+ZDsAGDhwIBIT3ROyoqIi2fs3mUwYNMiXbcZfQR66J7ongP2e6szN+OLn3UiNt6FPJ1/GisNHpP1NuffkdLoCurnU19XyPpOVokdlvfuFUlPfLHlPFZX8ADaPQsG9J2ezz5e0oLAIuYm1bfp7Anz3JFzFNRm10Gt8L+kGS0vM3ZMUoX5Pu/KKcESi7oHn88HcU3ycDvWnYza379iF9CTp13Ysjj0P2w+UIjfXBZvDheKyBgDAoeO1qKtrQGpqst97WrGOXzU3p1MKKkoOAS4z6k6VY4cg+VB8im8O0Njkf5yy3tOpSulnUP6hInQ11fL2heN7EqKz1+GdLzZgU14DzuiXhPED3PMom8OFVTtbvDUYuDRaLfznZBC/p5/+OIb5lwz13VOVdF2HPXvzMG7MMKZ7kht7/tzvGpvtij0j5Ni7Zzf0nPg5k8kEg17rdTPalrsTJqMWq37nD7zS4kNIT+gV8Pd04rgvQFtYFHDzn9thMvLX95W4p0BE3KLQ2OjW1BIS5E358fHuyYLFIp/n2BOf0L9/f/z4449YtmwZ/vvf/+K3337DRRddhIqKCvzjH/8QXddzbrlryg0wggiVdXvrsXxjFSrrKauWFB/8cADfbT6JT9ZW8jIdsaye2BgCGeMMfKvBrNFp3r8tTTbsPliBBit/JUp43r4S/rsJcb7HZ2NzdPiSRgqLIMjunFGpMMX7Vszae87/V75QLoMMNzi1RYUKwJGg2eb+/Qi9CBrCUHHYaOD+bpWx0MgFVJub5M/vcrlQWdesiDvOnLN7YuwgX/IXjQb4dksNKuvt+DG31ivfF/9XKqkktJamFgfPH1/u0W1uVN4idvlEX3prJeMg5JBKXsSNR9p+yAyXy4VTtb59Wg2QnMDm2sW1cgstMI0t6rxnIm5REMYH+MPfD2ju3Lk499xzkZiYiIwMny+zyWTC008/jW3btmH//v3YtWsXRo4cCZ3O/SUFypnsDDEfcSCSkpIwYMAAv22CMflyVxr8kZiYyFsV8UePHj1EKz1yCM8ptVIGxPY9yRHMPTVqM7Fur9udrclhwGsLJ3hlxe1XLN2T0t/Tr6cLyThdQHlTKqZPdv9ONu5fK9mee85TNVYA7gwmmanxeHfRuWhuseOa/1vlbTNhZF+MGeOLY4pPrwLWuTNm7D9ShUVvbUZWajxev38GkhLcJttPNq4H4HYdyUqNx6QRXUX3ZNacwI+nv8s4UwqGjxjFC1iL1Pck99sL5+/JHQjpS91361VT8PJnO5BX7F7cabC24Nzx0TX25OQUju+pql7a7Ujq84HuKSHO58LQu09/UYpfKWLlWe4hzmDAmDFj3BOuL0q9+x0u3xRF9p4+PSHa5e97cjic0Gk1cDhdsDTZMXT4yIBuIYD4nrhy2lWyT+oj0MUli/rSYnPA7nDiigdXwukCzhrRBQ/dNDbg9bnncblcvPu+6tyheOdbXx+6d+sObKv1bvfoMwgd0k2wScjKQ3yCSVZuvN+TzDl2H6rAGYM7oUePHkhJKQMgdt9Jzeose0/+4I69zB8qUVXndul6d9E5SDHF4es/fgDgnli39rnXbHPI3uMjc8dh7LDOEkd8Lutr9tRjwdWT0PyZL8HF2/93Djpwiv0J7wnwjae+fXoDm90WbWFQ+oABg9CjMz/BgdQ9BWN9YiHiFgWTyS2s5mb5bABNTU28tlLodDp0796dpyR4SEhIwIQJEwC4XZM8+7jnDuWaBBEsW/b5gsqOltb7adk+EQYXczOgsCR8aOB8PtkUB51WA1M83z+TG0sAADqJtKuVdU3YvMc3QeE+oB+7dYJkLENasi9gbPOek7j5yZ9QUFQtatcW2XVQXEyK60sfjcHMsQo3UD4cRauiCadgcTAc1Y11Oi0vbkno3hEK3O+lJ2ciVyuIdTpaWoe5i3/G5Q+s9K66b9pd6nWnqWlows6CU5J1CLhwV+w1GsCg1/EyuAl921tsDlTV+Q8Ob62sq+t9cyuuNZhred2Rfwprth+HtSl0SxE3cNyg1/KezUpYZ2plMlXNmtADEyWVBDGVtT5ZpyUZRUqCP7huTUIXzxa78hYZFiKuKCQlJcFkMqGmpgZ2u/ihZ7fbUVNTA6PRiJQUec0pEFlZ7rzJHpcjT2yCnD9gRUUFrx1BKIGaQa6xwLvf8VfiuA9UFtcjM8fFJdnkm6g+eNNYDOqZgfvmjBZVTNbLWDW5gY0tNt/LSG61MTOV78bYYLXh/5ZuDtjntkDf7j5zf3a6exEmyeRT0IQKIBE63PHbdhUF929d6MITrnSwXBeVFgVS+XL7yXUBEv4O/v3pDkm3vBa7A2ZrC/7+ygY89t8/sOTL3czXk0rxfOh4LW+72ebgKS3dOybjvjmjwF3/UDKlMVfRyUzxjd/vNh7By5/twNIVe0I+N782gU4RRSH/WDXuf20DvttwWDat8bjBnST3S1FR43NhT2Csa+FB56cwG/e9FEkirihoNBr07dsXDocDx44dEx0/evQonE4nr76CFEuWLME999yDgoICyeMnTrhNR506ub9cT7YjufSnhw+7c6YHui5BBAPpCfKYG21Ys/247HEpRUG4ss/NrsOdqE4a0RUv3j1ZZE0AgDqL9IoR9317ssoXHyWX1i4jRRzv1F4qNO8s8FkUrpnpfmamcBQ1JVKDEm4SE3zjujUrsdFMg9WGz34pEFXaDVRMTYkV5D2FrU9gwn1WmeI5MSUCa8Wxk9JW5eYWB1ZuPOJdiV69zRfk6nKJEzZwLS+eZ+L6nT5Xl3W5fNcZu92JOs5KeccME2aMzcEbD8zw7mutosB9XHPlkWoSPz/X5sq7QAVCWMSM604eimJpbbLh/tc3Ir+oBm9/uw8nTjVItuPW4wnE/iO+YO5gU2fLpewGlCniGAqq1FGYPHkyAGD16tWiY559U6dO9XuOgoIC/Pzzz/jxxx9Fx6qqqrBp0yYYDAaMHz+ed821a9eK4hBKS0uRl5eHrl27om/fvsHfEEHIoMSLrK0i9UDmPgibbdIp9rgvA24aU67riz/6CnLTe/C8cAoFq3FyioIp3hD0alFbYNfBUyjn5L33FLNK4igK7dmioPRvnqsoWCIQrKkWn/6cj+c/5KdEDVRMTYmCVE6nCydONfBcZ5g/63KhztzMU2i4zwTWiV1ziwPVEi4vLpcLi9/dgqsf+R7vf7+f12cPHkXBXxVvh9OFVX8cE/WR66ZpZkhA4G8izh33XEVBmEyiNQiVJoNOy7OKhGKA+vK3Q7xtYYE1D9znWyC4dXjSk6UT6MghZ/EG1CtkqYqiMHv2bBiNRrz99tvYt8/nerB371688847iI+Px3XXXefdX1xcjMOHD6OhwTexuOaaawAAy5Yt4wVuWCwWPPLIIzCbzbjyyiu9wSLdu3fH5MmTceTIEbz66qve9larFYsWLYLD4cC8efPCds9E+4T0BHmkVgu5plWLTMYQbiaIIyW+FJSZEiv8UqQmGfHQzWeI9nteOMs4L2QASPCzIiR0P2oP7DvMT33oCeDmWhQCFXxqy7DmOmfFwHFFkMvX31aorudPlgPJUmjBG8QQ6A0A08Z08/69emsxbn9hDW57/jfZFX8pnE4X3l9dgRse/wnrd/pWyP1ZFOSoNTeLvtvc/HIUlzdge1457A4X/re20Gtx4bseBT7/gaPV2JEvjitKTTLyFI1A/RUqwR3SfdkrXZw+cfsX58eVJli4bmJ6nTs+QaPR8KzBwVoV8gVxZaFUVH/gBvlg9HPGB1e8UCqGzkO7iVEAgG7duuHBBx+E2WzGtddei/nz52P+/PmYM2cOLBYLFi9ejMzMTG/7uXPn4oILLsCvv/7q3Tdp0iTMmzcPTU1NuOGGG3D99dfjrrvuwtlnn41169Zh7NixePDBB3nXffzxx5GdnY2lS5fi4osvxj333INzzz0XmzZtwpQpUzBnzpyIyYBoH4TLx7YtIPVS4j4I5VJBHjruC3jmrlzn+MkGIeSs4V2QbOIHPXsmJcJVG4OfiqXtUVHQ66VfGwnxfOtKoIDMtorcKvfDEsopC9yJgz1MWfmilYCKguAZ8sCNgbMHAUDXbF99Jk9xssZmOx5643fmvp2ssaG4QryKb4zTeyeudofLew/+rB+f/pwv+m6XrtgjCqwtr3YrCtwJuydGYfLIrn7Pz2XyyC4A3G4u3GeY3Gq6B2Gw+Rkcv32+6xHXPah1FgWXy4XisnrY7E7kH/NN6hMTfM8brvtRsBa9kf34mby+23hE1OaiSb1E+7hMGtkFl03tI3nsjCBiGwCfhVYKtWIUVLObX3/99ejSpQveeecd7NixA3FxcRg9ejRuv/12TJw4kekcDz30EEaMGIGPP/4YBw4cgNPpRE5ODm699VbcfPPNoup03bt3x5dffonXXnsNGzZsQFFREbp3746bbroJN998M/T69udGoBSsac7aGxYJn+L2JKujpXWwNNowpHemKDWxlKJwvLwBew9XYmjvTBjjEwGIzfHciTx3otBaN6C3vt6L8yf2RI/OKcg7/UIKtEKZmSquB9NsczClW1SKSI8n4Wvfo6z16sKvNdFsc8Ck4Gpia4mUnPhuKDrcN2c0XC5g/FC2jClCuBOHQD77ShBNz6dACy3c33/HDBOy0uTrM3ExyTwrLI02uFyugGnUAaBX734AxKv0eq0GBr3O+3xrsTmQYNT7rfZ7sLgWw/tl8faVVVlFyoVnouiQcD36y2XDsHFXCQIxZmAHTOCMRe5z80hJHXp3FdeM8cD9OuL0Wt5KvpzrUc+crvj9QOhFwJZ9fwBfr3O78nTK9CW74D5vtBoNnKcjAp0uF4J5+qb5cQ1KMOox/5KhOPsMcawbF41Gg8G9MvDN+sOiY/4m/lw8vztu5j8hNkaLQlJSEsxm/0pfMKg6M54+fTqmT58esN2aNWtkj51//vk4//zzma/ZuXNnPPfcc8ztCaI1qOVTGEnMjTas3HAY5TVWdOuQjK7ZSRg3uCPW7zyBlz/bCQC4b85oUWCxVLaRE6fMeOTNTbjh/IHeyToAZKQYvW4JXBM91/Ug2Mn5kN6Z+HNfGW/f4ZI63sP43ABmYymLQr25xZsJqK1habTh45/4L33PpMqTqtApY5lpL3And3qdDhOHdWnV+XgWhTZipWFd9Q2kKHD96hMFaZH9YZCxigFu5UOYKU0Kue9Cp9PCaNCKFAV/bj0N1hZRSmGtRnz/HsVoEyeVs/F0X9OSjchKS+Cl5pTijitG8BQhruUv0PgSxkZwMy7xLAochdYoI8uahiZU1TahT7dUaDQabM8rx86CU7hwUi90yfJZfDxKAuBWnjycyUlV2po4BX9xMOeMy8GsCWz1SKSSWwD+g5Ol8KdYCC1okYKW0AkijAT7kIhFXvlsB7bs50+4Z4ztzsto9P73+0WKgr8qmh//yJ+MJiYYfIoC503AfXAGqyj87drRuOPF33h+0fWWFp7yIRfI7KFP1zTRPndmmrapKPyypUi0bzrH3zstyegNCm0rk1qn04VNe0qh1Whw5vDOAVeb+YpC63//3ODGSFgUIgHrZC5QMLOn8BYAZAThBuhPUWhssjMpCnJuUVqtBkaDDg1wKzGeZ1QgxXn3IX72JafLbWng4lE2uKvOGSm+ei6pSXEBFQVu/RcAGNm/A0oqjgII/JvlKnju2ABplx+ubLg1K7gseHY1mlscuP2K4Rg/pBOefOdPAO6MT8ufudBvPwAgnTMx52bDC9bd19/3Itd3KfpxUka3Bn8xCrb2kh6VaJvk5eUhLy9P7W5EHVKFutqarIRKAsBf8QKAGomMHjUN7FlGTEbfaqGsRSGIhzrgVj7eW3Qub5/D4QxK+ZAy00u5m4WTSI6n7XnlvO3LpvbhZU7hxi8IiwWpTahyWrO9GC9+tB3Pf7gNj//3j4DtuZN5uXiOYODmVY9EjEIkxhOrRSFQjAI3U1Ew8UL+Vm0rAxQm83D0WLHkfp1Ww1tg8DyjQrGwfbuBn87dE5DcYPE9Yy440+c/z2JVEebp58qCmxZaCpudrwTLuR5xM0tWVfCfGR48cvnP//Zg7uJfvPutTXbvufzFOXFl3JoYBX/ZnlgURg9arQYv3TuFt69rdiLz5z2/O7/pURnHkNVqDdwoCEhRIBTBarUqPjjbAlKKQluS1YGjVZL7peoJXLzwW1y88FvsOJ2D359FQUgiJ/CYu+rFDX4OJS5Ap9Pyqm3anS40NbMrH1KTk2DuSwkiOZ6ELlXClLR6bfS6yYQiJ4fDiVeX7/Ju7zxYEfAzXEUxPkjlVQquVUIJi0JNQxP++dF2vPnVbsnvKBLjiXXV19/9Njbb8cufPguXnOuHFP6KWq3f4fPzr21oxgOvb8QdL/6G4+X8dM7WRumFDp1WI1l80OYQPxMDGZwbm/mf2bCrBGVVFl4q1I4ZPr/9QIqpViO2cnO3v9sgDuTl98f3bEsw6nmuR9xAaK4+a2sJPlWyJ/PQ1gPSSgbAf95LWRRcLhc+/Tkfry3f6Tf1rblRvn/B/n7756Tjk8Xno1OmCb27pOK5Oycxf9bzu/MfzMzmeiQsAdBayPWIIMKITuCm0NbqKiwSVCJOMOpELzchj//3D6x86VI0tbBPqJMSxIpCTUMTL0AwWIuCB+6L0ulwoZxTVZObw14KKdckYaaStoSwCmy6wI2hNS4A0ci2PPmJihzcTFypSUY/LdngWRQUUL4++7kAG04HvWanJ+CqsyNfZJR1bKzbcQJTR3eTPPbMsi04UupLjxyMouDPJeyPfSdx66VDAQCL3/3TW+X4t23FmHvREG87OWuHTqtFVlqC122o4rQrkF2Qxe2MwR3x18uH45v1hfht23EkGHUYO6gT+uekY8mXu2T7t6PgFG+MJXOU9UCpPaUUJFMC+zRQqChwHwe/bi1GTUMzXC4XzzLRKd0AvQ4IJrPnqZpGJJn8u1HFGXz3IhWj8PkvBfjsF3dB3npLCxbdMl7yPKs2H5O9hlx8hT9SEuPw9iPnBP05Dzo/dRSaVKrMThYFgggjwleJ0jnW1UZoTh/cK1OmJZ9/frQdP/p5QAvhmtQ9KQcffJ2fyjDUTEN6gWsH9+XUo1PglKvnjOMHPLO6LsQiwvE7ZRR/EtfWFIVTNfyV9cT4wBMH7mQtmABbObhWGiUsCj9yCm9JpYKMBMI0m3IIXd08OBxOkU+/UhaFxtMWIYfD6VUSAPCSKwD8VXMuer0G2Wm+Vf6KGiscThcOHPNZX88Y3BGPzZ+Ajhkm/PXy4Vj+zAX44PHzcPfVI9ElgLuKXqflWRS49UsCZX6TWq2eKMjGdfhEreznuYpCvFEvsp5uzytHrqBegzFOgxumZzNnpALcMgP8VyLnyliqOvOnp5UEQNo9VtheilAXn1qDvxgFs0qV2UlRIAiFaLE5sHTFHry2fKc3g4XwIdSWCyZNHdUNt18xAgNyAgd1bWBI4+dhSO9MXvBhaaUZR0vqRP608SGmR9XyJmJO3nfmL+jRw18uG4bBvXxpVAMFE8YyXNn8/brRIosKPwtK7CsKwt8vyz0d5hQBDGSRYkFpiwIXtaxfwSiRUr+nnzguRx76dJNP6ynEX/Vbjx+4cBGkW4dk3nZZjfSkLc6g402KK2sb8cKH27D814PefcLnCneiGxfgmVNnbuZZFLgVgy86y3++fylLivA3vKewUtTGA1cJjo/T8Vys5NBqNOjZwYj3FrGvsh89XfjuaKl0AbyR/bJ5QdncZ3gwVvtA1biNhshPkf3FKFgbyaJAEDHNdxuP4IdNR/Hr1mL85397sOTLXaKg3mjz21YSnU6Djhkm3HHlCEXPO6IvP794TX0zigX+wqwVWaXgrrI1c7JKeKp+BiLeqMfl0/p6t7fsL2uz3zP3vqReaDylqw1YFIQr+IFW9PcWVuKL1b4JYZICigJ3lTjS8S/hIpix8c+Pt4v2LV2xR7RPqqaJHP7cHm02B1wul6iPwgxMFhkXS6NBx4vlOVXTKKpUbtDJr1T3lsikxoX77OuclchTOgIppg0SgbvZgpX+Qo4VRQg3G93uQ5WYeUbgqsOeR4JGowmYRc7Dj5uPoqzKInp/erjgrJ6S1wB8yjyLNYCbmU+KAT1Cf6+Eir8YhUgnyvBAigJBKMSKtb4MFRt2leBniVUvWxuaQApXBT2ryekprffL5hJv1POsBTqdBidO8RWFv80ZFfL5uaZebrCYPojUtlmcSUptQzNTdpxYhDt5kvKlbWuuR+LJov97euq9P3nbQ/tkybRkh6tsKD1RaI2C3RqCyQB04Gh1RBVvp8v9PQutR8Lv3tos3ac4gw4ZnCJeJyvFmYT0fqoVG/Ra9O2eJnucmyJTWF2+AyewmRWdTosrpvsWOjbsKoHL5YKl0eZNQHHxwm9hszt5MSEzz8hBl+wkPHv7WX7Pz30msKYLr65vxoJnV8se78ypswAILJmnxcPiptezs3/X0jQFYoyCxZ/rUaAYlHBBigKhCFlZWcjKav1LMZZhWHyG3e5qM7ISFn/x3H96cjymyQQghsLI/tnoz3lxrss9wQtivmJ6X16BnmDhruC8t3K/929/fsxChP63eworg0r/2hoiOZ64k3+pF5ouil2PQpGTlKLgz7VBGMg/dlDHoK4nBXdlVOmCS8Kc+kBkxhO3iBYLzyzb6pV7JBRQm90pmmgKr6vTSa/exxl0PEWg3iJ27zLo/a92J/mJbeEqi0KLZ4d0E+66KniLrlChvftfa3HtolW8fe99t4+3fc7pYpRDevuPS8vKzPSOp1DrCo0d1BEj+2Uj2RSHWy8dKprga7Ti544SyqVU1sJw4fnd+QtmNjMqCnq9snmKKOsRoQg9erBVL2zLMCkKDmebkNXew5V45M1NvH2ds3xBeAuvH4OahiZRwCErep0WI/tnY0S/bPTqkip6Ia7bccL7d7cOoSsJgPzLK5hiWSmJcdDrtLyXU0VNI9KT2QMsQyVS46nO3Iz8Il9AZyDXo2izKIQiJ6mCX06nS1JJklIMWWJcAmGUyMmvFFJKTyTGU7BB1NvzynHsZD16dUkNKltaMHAztrXYHKLvXqQ0QnqyH6fX8iZ7Uu4+gcaFvzSnuzgpeoVZyABg1oSeWPLlbsnPdu+YLLl/zMAOvO2isgZRm+83HeVt9+mW5u6DVoMO6Qk4VSMdm9WzZ463HoG/1XJ/PHjjWMQb9XC5XJLuoNoAdRTknvH+6jREGpbfnb/gbi7x8fEwm82BGzJCFgWCUAiW1ZKK2tivn2CzO0RKAgBcMqUPb/vCAIF1cgzvm4X3HzsXj986AZdNdZ/Tn4lYH2B1LhBy31swC+JarYZXIRWQrmIcq5gbbVjw7GrUmX1BlIFcj9pCjIKUsiN3Xz/8flRyf2vh+nWz5lFnJcqMPl6kLDGeDEhSq6rdO7ZuseC+OaN41qBNe0pF37NwLMhN2uIMuoAT4swAGZpYFUy5Fe+zhneR3C+3yq7RaDC0D1vGOg9cBdbiJ3aG+5wIxaIwqGeG1/VULmZMK5H1iItc0LXdzzPquTv8u1SFkymjukrutzbZVXmukqJAKILFYoHF4r+qY1unQ3pg/9BPfsqPeVkdL5deqRCmJ2UJBJbixvMHITXJKJLTXy8fJtm+tau2cgGAwfqDCwP1hFlSwkUkxtPid/7kpUYEZCwKAV7YahKKnKT8nOVe1Ms5QcwAmAI9WQin65GUe1g4x9Of+07iv9/sDdhOKi3qsdOZcBos4gJZwaZG7iqwQs4Yy/+u/vO/PeKMV4JtKX/xf90zGUDgCXGgNNIGRrdHKYsCAMy/ZKjkfql4iWCvCQAv3jWZtz1jbHfZtk2NVu94kuuvP1gyh3FPK1W9WO5d5M+ioER8UTBwf3fcIqAAv7AlS1Y9h0Rxv9ZAigKhCPn5+cjPzw/csA3D4hPZYG2JeVmVV7NNIkL1R/VMjIRykjtfMC84KeRW34JdbRVmq7AFU2GoFYR7PNU2NItyyAOAVmLVlGtkiDZFIRQ5SSkFLCt6Wq0Gcy8aHNS15DBG2KIQrvF0+EQtnlm2FStDrN2wYac7pXKVRErLO68cGdS5enRKwVVn90P3jsl4bL50Ia58wZjnfu/NNofXpUir1eDp287E6/+Y7s2S48/PHAAG9PCfQprVRUdu3p2dnoAHbxrLdA4PpX6UCC4fPjELg3rxg+AH+rmfggLfeKqsCz5uK44hRSl3In2Ek544EHbOQsCIflned8x1swYG0UNl4P7uhO+6nE6+Rafbnl+N4jJx2li7w4mn39uCuYt/RmWNcm5HACkKBKEYUisZQs4aLm1SjCWkKi8vvG60aF/vrmx5zbPTEzDs9OpN1+wk5Mj40cqZ2f3587LQJTsJ980ZheF9W7eCJLRsCFfgY5XSSumXjpQFra3VUZCKUZBbhYznrPy/+vdpilRlBviWqtbGKBw6XsPbjmSl+E9+Dk756JQpHl/WJht2CAp6/fOeyX6zBMlx0wWD8eYDM3DG4E6Sx1/6dAdvm/u9V3MmvJmp8RjRL5vnHulvoq/TagIGybKmEfV3Hqk0m/5W/qXq3wjdKccM7CAZdyU3LnWMKab9ccX0fgHbcAOqK2ok3Htlhjn3O81OM+HVhdPw8M1n4MoZga8ZTkb0y4bpdHHH8yb2RO8uvnep3eHCh6vyRJ/ZsLMEW/aXoaquCTVmZd89FMxMEArBstoXr0KlR6VxCiZPs6f1xVSJLEfcQkBSnH9mT2jgfnl175iM3LxTGNInUzbbkJzZWomA0RljczBjbA4uXvhtyOcQvpgb20jOe6lJQIcMEzpKpGLkfnfRZlEIhWBcj5ISDGg6LatQq4RLode5J5ZOpzu3v93h9JtrXQ6Xy4XH3vpDsE+pXgam6KR08SwpOqQn4O6rR+L//rOZt9/pAn7gBNUO75uFgQrlur9iel/8b618Nibu925u9Lk/JUs85/xZUzNTAyc4uHhSb8n02kKCVRT8PSuH9c0SFcKcMTYHGSnx+GDVAQzrk4WbL5S2ksm69gT5DDDG6UTPm/4MBTy57klSCzRyixZ2QRa3Hp1S0KOT/5SpkcAUb8DL901F4fFajBvcCcfK6nkJAITVrwHgwFFf5W+ljdlkUSAIhWBRFJT2MVYDu2DyNHpAB8kXhdGgg7+FszEDOrgrOffIgCnegMmjuiLDT5Cf3Euxta5HSiF8CVvbiEWhSUJRuFsmBWM0xygEi8PhxI9/HBPtl3IxdLlcvCqvLJNBVjQajSKZj1rsTlEgcKQsCi6XSzYrjhQP3zwOw/tm4+6rR/L2Cyvb10vEK4TKeRN7+j3OzbbEjU+QKqrnz/WIxVrQo3MK3n/s3IDt/Pn8B5O1DXBbc4XEG3W4eHJvfPXcRXj81gmySSXkbleoRN17jf96N9PHdOc951m9Vz1ZlQDp55WcwsK1KISifIeTLllJmDKqG+KNegzskeFN7AFIj7lwVlmPLskQRAzTYgvseqR0ekM1EE6U/L34ltw/AyP6ZeGsEeI4gMYgZSGbxlQBi4ISCPunVnEcpZFSbvueTo0ohBejEOOuR0+9t0Vyv5Si0GJ3wjMXMei1zK4jrHCrM4fq0rYjXxwgHKmvqKCoJnAjDh5XIuGE6LigIruylhv/z5GDxbVexcrS6PsOpIJt/bkesbrisFSa9qcoBFMHBgCvmrQHfxWkuRjjpJ1TuL71AHD2Gd1x3bkDZOPCHA4nHjodW6HRAB8+cR7T9QP9PiyNNsksVdzCf9GmKAi59pwB3r+bbQ4UFFXjm/WHvcp/OLMhRbdkCCJGcDhdTPm9w5UDPJIILQr+gs26d0zG07edhYduOkN0LFilSW7iHa6SOMFO9oQvZqWr6KrF9gPiCaacWxm/jkLYuhQRuKZ8Lovf2YKXP9uBBqtvNbuJMzkJh3uhx18ZYM+lLqS4XJwbP1LK3DaJLEaAtCvM7VcM9/4tVL437SnlbSv5PGUJIK45vWprDmhRkD9XdlpgBcDD+QGsHP50jmAtrVKKSYcMtr6OHyId5yHMVKfRaDBn1kAsvH6MZHu9XouJw7rg6xcvxjcvXsIc55OY4Pt9yFmZVm0+JtrHVSq4ykY0ws1+1thsxz9e24h3v9uH+15eByC8yTNIUSAIBTBbW0QTaCnahusRu0XBH+MGB1e1Vk524VpJSZeoWusPoalfSbcINbA22bBs5X6s33kicOPTtCXXIynfcwAoqTBjzfbjeOiN370r3Fx3B7nV1dbAUxRCtChI3U+kLAr7j0grXUv+MZ23feWMfpg1oad3e7SgEJgwo41UYbBQYUnd2WJzYEfBKazceNi7T2qCKVw08LhQ6bQaLLhMOnWpFBdP7o1OmSZeMCuvz34UkmCLmxn0Wlw0yVf75orpfWUVACF6nRZ3cBQ8D0YZpTlQ/Qe9ThtUVeROmb5in9vzyrHw1fWiNnVmsWtOFScoPTkxcBpWNdHrtJIKaFmVFTa7E00SSUYUu3bYzky0KwYOjHw6sWiCtVx8c4sDAwcqkzZRLYRZX4JZIfMwoEc60gMUHRKOqdEDO2LZ9wdE7biTKCVh/U49CCcH4fQZ5RKu396Hq/J4gaMeJo+Uz9zFK7gWZa5HwcrJFiCLWXFZA/7273V479FzUXLKlxkqwai8RYHrg90c4oRgj0SVdCmLgtLjyeFw4khJreSxLtlJGN43C3sKK9Gve5ooWNag1+GccTn4dWsxAPDiQJSGJZ3zsu/3Y/Oek7x9kkHDOi2SEgxey8PZY7tjeN8sGA26gM89Lt07JuO/D88EAFzyj+9Ex/3HKIj7Fcjt6a+XD8e8i4YEPVEHgPPP7IX3Vu7nK80GneR4Esr6kim9MXZgR4zolx3UNT105igKgNtNTIhU/BtXechicPUKJyy/uwSjXrLgYIvNgcYweiuQokAoQmJiYuBGbZQvVh/E/9YeYmrb1OKIeVnZOBPovt1SvVUzg2Fob/8FhwDxmOrZOQUP3DAWpVVmOJ3A8l8LcObwLmErbBasoqAXRPQ1WFvgcDiD9hUOlnCNJyklYWifTJ5riBC+61F0KQrByokl3XGL3YlDx2tx6Hitd1+frmlB9iww3EmfPQSfrqZmu8htRw6lx9OJCrNkSmVPSstH5o7DrkMVGCGTnrgDJ7uW0rEfXFgmxkIlAZBeuddqNfj7daPx69ZinDexJ3Q6LW/VOxj8Te6DzXrEQmtk3DkrEUdLfdmt4gw6JJqkJ+BfPHshln2/HxOHdsaoAR0k27ASb9QjI8WI6nr5xRmp+gpc99DEeHUtCiy/u9Qko7SiYHegtMJXB4Ol9kQwkKJAEK3geHkDPvpRnNOYS4JR531RKl0wSQ24KSPPlAlKCwRLtU0pJnNK218+rQ9vpVUJumYnouT0AzfYCZ9wwuByud1E5FxYop20JCNqT6+4Demdiaf+OhEGvf9JBN/1KLaDFGyMv1WztQX1nJXJPjKB3q2BO7byj9Xgu41HMKJvFmYz5JgHgCKJAk1AZLIeCZ95Wo07/eN9c9y1VxITDLLBrQB/wiuZI18hQqkaDMhPyM8Y3Em2RoNS+I1RkIj/CDYTUrAILT4mP5PvBKMed1whnT0ttGv7t+Cu23ECI/plYea4Ht591gBB6dHGVWf3wyuf7xTtX7/jBG9hq0/XNDQ2KlddnWIUCEUoKipCUVHgvM9tjZKKwBUQb7rAZ05vbnHEvKxaOEFTwaxaeapdmuL1uPCsXgFaBx5TSisJAHDPNaPcq2AJBtx11cigPivljxsJxTBc4ymLkwXllouHBFQSAL5LQZAGmbATjJxcLpesRUGn1fAq0VoabbzUn9wqsUrB/Z19/msBduSfwrLvD4iKj8kRjFVL6fHEXVgYkJOOtx85B2//3zmSdTik4E5upVJfKoXc6nx3mQKQHtTMluPPoiClKAzqqUzNCTnqzPy4LJ1WE7H33RXT+wZs8+ryXbyK29x6GGorCixykvvNrN/hiyPrmp0Im01Zt1dSFAhFqKysRGWl2Ac22nE4XbyMJcHC4p7CDXYrKK6JWVl54BYSCyZTxDUz++PZ28/C0gfP9rvS5EENOQ3ulYkPHp+FDx+fJZku0B/dOojzkLOkzG0t4ZKTPYTUgTzXoyiLUQhGTgeLfek8hauwGo0GwzhuMku/3outB8q82z06Ke8KJyf/x9/+Q/b51dhsx3cbDmPLvpOyn5dyD1N6PHFdFfV6LTpkmCQzBckRqYm43KQ7UOxCuFfp/eHPCiJU7LPTE/zGF4WLSD3He8oEfAu5//WNANxZgrgWkNQkdS2/LHKSu0fuguVVZ/eH3a5svAIpCkS7pbHZjjte+A03PvETdhSwrcwJERYAkkKY4i2c+Y4jQagp5bRa9wQrmGA+NUhKMITkpysMqANi29XMzitGxDYZagtZj1wuF/7x2kbvtt3h8ub1B9wWAzl/5vFDOoXd9UjIsu/3S+7/Zv1hvP3tPjy9bCue/2CbZJtIPIu4yQ9YAoaFRExRkJl0B3JJCncMkof5lwwR7fOvKPD79cjcccw1HELl3PE+tx5ugbBIIFSCbrpgkN/21fXN3kyFmanxTItXapMYr0eXLPF7hhsDpGSxRw+kKBDtlhVrC1FaaUFTiwOP//ePkM7Bku5UuNJsaYoyn4wg4Zr/E8KUcSgW6dc9XTQRagljbutwYxesBLMQzcHMrJRV8f3gB/XM8Oaz12qAhdePxoj+0tlZhFl7lEIYKM9FKj88AHz6c773bzkXyUhYfbhpo0OZ9Pv7zDnjckLqkxRyFgVtACU5UtWtLzizF+ZdxFcWgnE9iotAYcq7rhqBiyb1wnkTe2L2tMCuQEqi02qwaN44DMhJx18uG4arzu4vqVwB7mdTNSc1qlRGpGhEo9Hg0fnjccN58hmSwuGSS295ot1SVtX6YB+pKpC9u6Tir7OH4dDxWsw8I0f0wLY0OZBiCl/2jnDDLXIUjuJSsUpashF/v240/vlxrndfJFyPwkUoE7xodj1iRVjY75ZLhmBATjoyU+ORlGDAgB7Sft7D+2YF9GcPlXBVH4+EMsdVOIPN7Q/4v/d5F0tPBENFqwGEIglkBeFWaQ4ncQYdzh2fw7Mg+TMQCPsdiQr2Go0Gf71cPitauBk/tDPGD+3s3ZZTpJwuF68+jFQ8R7TSrUMyrjlnAJpaHPhqjTjbYrxRD+XCmN3EjnQIQmGUeDhYm8QviSOldRjcKxOXTumDRAk3FnOsWxR4VWhprYHLlFHdMKKfz3+97bgeMSoKbcD1SGglHNgjAxqNBmMGduQpCe8tOtf791nDu+Chm8XVx5VCH4LLDgvBpgAOBUcrLQr+KgwrnVFMamJ50aTefj9TK1HIK1wI+ydX0AwQp1VNSojN7GutQW682R1OXvpnbnrjWEHOQtRdIlautdBbnmi3KJGTW8qi8K97Jov2TR3VzbuCYWmK3ckjABSe8OWjjvay92rADSKMaUWhtcHMMaoocL8zrtInJDs9AStfujQSXQroB3+kpA69u/IDHU3xesmFDC6RWA0PReHkImeFCLYgGAtuRdc3bi+Z3BsZKeIK7YnxelhOy3bswNbVAAgG4Tjo0SnFb/urZ/bHV78dxDnje4QlG1e0o5Nx2RM+mwIVV4xGDBLzl2F9ssISM0NveUIRTCa2VHfRRDgUhWmju0m6JqQm+x7SLQ5dTMoLEK+2htOiEKsyMnLGFUvRrtYSLjmFEsysi2LXI1Y5ccd4OAt8BUMg+X/+awEemTsOgNul8mBxDYwGXUBFocHaApfLxVt9Vno8tdr1SGbikxWGoE3h73VAj3TJyebL903Ds+9tQmqiHqMHdlS8H3II3YkCpfS88fxBuGpGv5CKYiqFms9xObcxYRD/kwsmRqI7fglWTlIWhcpad5pmrVaraB0bUhQIRRg0yH+GgWhEieCuRsGLWK5qbRon81GcKTUm5QUAB4tqeNtKV4DkEqsyMnBkEgmLQjjk5HS6eEHrLDUUgOi2KLDKqSUKFQUpyyUXj8vXqRorFjy7mvm8NrsTNruTd59Kjyfuaq0/NyI55D5z55UjQ+0SMzqdVqSk3Xb5MHTOSsTrD5wr86kw9kerQVZagndCyJKKV00lAVD3OS7nXuxwuNCzcwqOnXQXIkyXsBpFmmDl1GAVV2g+eTru0mQywWwOXOOJFVIUiHaLoZWTXIfDyfNt/Mtlw2RTrKUn+x5EkfRpVRpufnkgPMWlYp1IWxTCwbcbDvO221N6VK6iYIwSReHPfSf9Hrc7nCivtuLWZ35lOh+3Wny4U6SaOcHhoWRJkwvCHdgzXXK/kvTukgprE39ClqRipXWNRoMHbxqLtduPY+KwzujWITzB822F4f2yeGPdg8Pp5CmwahbNCxVuUhEPI2WysbWW2JMOQShEHOMqqRwbd5V4NfjEBAPOPqO7bNu0ZJ+ZvLYhdhWFo6X13r9vumBQ2PNyxyLcVaxYjVH431p+Ng3W75lrUXBEmesRK80t0acoVNf7f2Y02xz4+Kc85vNpOe40jjAHNJ+q9qWbDWVhQU5JDXfee1O8Hp2zEkWTSLUnlQN7ZOD2K0ZgZP/IxUbEKunJ8Xh30bl4+q9nItnkGy8Oh4uXMjiWsh55kFIK/KVNbQ2xJx0iKsnNzUVubm7ghlGE0H8x2JW1PYW+KooXTerl98XFdT3adbAi5mTloajMpygM7S0f6KkEsTimAH7cRiCXESUIh5zSOYqtVIEfObju3NFmUWCVUzMnpW20uB51zPDvv7zrYAXW5Z7w24YL99n32/bj+GHTUe8Kq9LjqeK0mwwAdMsOfgVcrcWIq87uD0AcV+HZjtXnU6RRW07JpjiM6J/Ni+cQWvXVVv6A4OU0eoBYUfTERyrpdgSQokC0Y7h54oHgV3+5Ptw5AfKnZ6cn8Lar6sX+hdGOw+nCiVO+B1AOg39se4TrZlZT3+SnZfTCHa+3BJGrnsX16N3v9mHhq+uRf6w69A6GEW6RPH/pJyPJfXNGB9X+okm9ZI+dNbwLT1F459t9WLpiD37cfFT2M1K4XC5s2l2KZSv347sNh2UtpbUNvt9AZlrwAcjCuhZAZCZ2HktGtFkUiNDgjvkTpxp4x2LxO9VoNEEt4rSG2JMOQSiEtZn/AgpWUQgm6DE1iR8s9d3WGpmW0UtlbaM3g0lasjFgxo32CteyVFUXm4oCN/d9MOn2uC9jKQvd3sOV+Gb9YRwsrsWDSza2rpNhgut6FM5g/WDoI0h96o855w7A/EuG4vwze4qOXXNOf/zl8mGS2WC+Xn9YtM8fewor8fyH27BiXSHe/nYfbnziJ8l23BSsodQ96JeTLiosFi4XCy4epVeY9Yg1XoeILrjudrUNLYJjsfmdRioGLjqeggShAsLUgcLUn4HgpVEMMt4hKT46ViqD4WSlz5rQOTMyKxmxCDf4csv+MhV7EjqhpEYFAldmPlRcyzkuf54TpxqweU8pLxA2UkRjMHO8UY/xQzoFbHfNOf1xzcz+0Ou0uOOKESKXpRvOG4SMlHhJ5a+S4yLEwmvLd4r25ReJrURVHKuaKYRg5qQEA54QpK+MRJVh77VErkc0bYpFuMpxRa2VdyxaFgSCJdzxRR5iUzoEoQArNx7hbXNXElngZk1gedB041RM7NFB/XRswXKy0lcYvnOETJ6xyJGSusCNohyuNUCuaJEUgVyP9PrASsfew5W448U1eO6DbXjy7T+Yr60UzVGoKADAI3PH4YEbxvptc/2sgbyJrJx7v1x++WCQshit3lrM225qsfMUr8QQA5CF/tiRDD4VKgb6IH4PRPTAjTVZy4nnSYzXh7UeUDi599pR3r/vmzPKT8vWoap0Nm/ejKVLl6KgoAA2mw1DhgzBggULMGXKFOZzrF+/Hh9++CH27t0Lq9WK7OxsTJ48GXfccQc6deKvwNjtdowaNQotLS2S5+rYsSM2bNjQqnsiYhcpX1h/7D9S5f2bJehx1IAOXh//cKckDAelHEUhUr6RscjkkV3w9bpCtbvRKkItkhWojgKLL/Cf+07CY4zIL6qB0+mKqGtANBZcA9yynTyqKzpnJeK+V9YDAKaM7ApLkw25+adwxfS+osDflMQ4lFVZRecKpfCZ6BwS38mGnSW466qR3u06M/9dq5Q8w+VT3iE9Aadq3JaVYX2zTl+Lf58syi4RfXAVPO67/roIuLGFi1H9O+DBm8aixebE1FFdw3Yd1RSFFStW4OGHH0ZcXBwmTJgAp9OJLVu2YMGCBVi8eDGuueaagOf473//i5deeglarRbDhw9HZmYm8vLysHz5cvz666/4+OOP0adPH2/7wsJCtLS0ICcnByNGjBCdLy0tTclbJKIYYW5sILj6Bg1W/gswgaGoDbdwUKwpCjUNTfiG48NMFgV5enRKUbsLrYY7PoOZlPFdj8THWawTQhcYu8OJOG3kJuw816MoCWbm0rd7Gu68cgSKyupx1dn9kZESD2uTTTLr2hXT++G5D7YBAM4Zl+PdH4yVSA4p2QizfNVbfM9UrkW1tYRLb3xs/gR89msBhvbORK8u7rgQoUUhVlef2ztyiw0ZKcpX+I4UWq0Gk0aET0HwoMqILy8vx+OPP47k5GR8+umn6N/fnYZsz549mDdvHp555hlMmzYNHTvKl0YvLCzEyy+/DJPJhPfeew+jRrnNLjabDc8++yw+/fRTPPLII1i+fLn3M3l57jzTs2fPxu233x7GO2x/5OTkBG4URZRXi1fZ6oJQFLipUQG2iTPXrzYpmT04MRr418f8tG39uoe/2FGsjSkPBr0WGg28q+IOp0sRVw85wiEnbramYPou53pU09CErfvLeRlw5BDGDgkrB4cKq5xaojA9qpDzJvbkbculZp4wtDNmT+uLsmoLrj13ANO5WeXUrUMyjpeL0zA6HE7v5PqB130B60paAcJVQ6FH5xQ8dNMZvH16wfj3KAqx+nyKNNEiJzkrmjDRiFooKSej0YjmZuXqNamiKHzyySdoaWnBX//6V6+SAADDhw/HggUL8PLLL2P58uW45557ZM/x7bffwul0Yt68eV4lAQAMBgMeeeQR/PTTT9i1axdKSkrQtatb4zpw4AAAYMgQ9nR/BBvZ2eGpCBgupLLRBFMIrcHisyiMHdSR6SXI9as9VhZb2XCEilGnTP953ZUg1saUB41GA6NB502f22JzMFmcQkVpOVXXN/F+HyFbFDiKwnPvb0OeRDpUKSXKJsjkIdwOFVY58QqutbIoo9potRrMk0hve+xkvURrN8xykkn+4HC6oNMBpRVmXgrq0orW5XYf0S8Luw9VQq/TYuwg+UVEpdFqNejeMRnHyxvQKdOEjFT3CnSsPp8iTbTISW7BIy1KFAUl5WQwGBRVFFSJytm40b3KMHPmTNExz75AsQIGgwEDBgzAGWecIXmsW7duAIBTp05593ssCkOHDg2t40SboVoiv30wrkfcbCzdA9RQ8MCdcO06VKHYBCjcCH3Np4/pRhWZA8B1ywg2SF5tdh08xds2BJERhGdR4GQ9klISAKC5RVyQzi7I5CHcDjd7D/uU4oQQsvS0FyxW6Zguj9vaxl0lvP2jB7aukvDTt52FT586H188e2FELT0ajQZPLpiIBZcNxdO3nRVW6yARPuTc7UKpFt7eiPhT0OVyobCwEFqtFr179xYd79mzJ7RaLQoLC+FyuWQnJPfcc4+sxcFqtaKw0B1M6AlodrlcyMvLQ3Z2Nn777TcsX74chw8fhtFoxJlnnom77rpLsj8EGxUVFQCiZ/UgEFKKgjDwzh9VdT4/6sQEtp+RMDNSTUMTOqSHf2W+tVgFfsfzL4mMoh1rY4oLN1tOsGl3g0UpOdWZm5FsiuO53gDBpcLlWhQ8tRhcEmlSPTTbHCI3EqFioJRCzSInp9PFcxvLTI1d/2V/ZKcnoKJGOh0q63iqs0gvrHhSNgrf3ZdM7iPVPChCqcOgBNnpCaL+x/LzKZJEi5ykMhNqNeqNKSFKyslmUzatdMQVhbq6OrS0tCAjIwNxceIvSK/XIz09HVVVVbBYLEhKCj4A6u2334bVasWwYcPQuXNnAMDx48dhNpthNpvx2GOPYfTo0Rg/fjzy8vLwww8/YN26dXj77bcxZsyYVt+jFGazWbI8d05OjndgVFRUoLi4WNTGA7dveXl5sFrFfvYAkJWVhR49egAALBYL8vPzZc85cOBAJCa6JwJFRUWorKyUbGcymTBo0CDvtlyp8eLi4pi4p4LD4oJnpyqqZO+Le0/lp05hww7fPZlrypGb6zOry91TWakvaxAAlJSUoEN6P8XuCWD/noT35O974laR7pCegNLjR1AYwbFXWVmp+D0B4R17XItC7s496JjGnwyH43sqLi4O6Z6qauox9+m13mPTh/mCsc/olwir1co89hKMvtib4tIK5Obm+g3cX7G2EJdM7Mi7p/oG/u/ExqmUrMT3VFxcLDv2rM0OcPWaU6XHkJkaW2NPeE9CTCYTZp6Rg89+KRAd495foGd5NWexRBiTk5eXh5JSXw2RSYOT0VJXhNzcIlXfT4Dy31NxcXGbuydA+bFXXFys6j1ZGsRpqw16DXbu3CF5TrW+J8++cHxPoRJx16PGRvfDJSEhQbZNfLx7Fcdisci2kWP9+vV46623oNVqcf/993v3e+ITOnbsiBUrVuCTTz7B0qVL8dtvv+GWW26BxWLBfffdp6hfFxG9WJvEq5QsHg52hxNPvLcb9Vbf5KVvF7ZVR6HFmuu/G83UN/ruNTNV/ndL+EhP9o2JBmt0ux5tPcB3NVq71+e/bggyFSQ3g0jzacuEvwRf36w/LHJtE/4OI+miZ+Y8FzKS267bUXwrsznZHS602N3fm0YDmIzijG52OzdzFrnrEOoiVXuj2RYb72C10bj82YXDQHl5OaZMmYKuXbtizZo1km1mzJiBkpISrF+/XlQLwR/r1q3DPffcg+bmZixcuBB/+ctfvMdcLhfKysqg1WpF2ZScTieuvPJK7N+/H//+979x4YUXhnZzEhQUFMBsNiMpKQkDBrBlnYhFPFp0uCwySrP43T+x7UA5b9+wPll49o6z/H7ut23FeOVzfkXSlS9dynTNNduP4+XPfKsXr/9jOnp2jv5Umlc8uNJbKv6s4V3w0M3iuKBwEGtjistT727B1gPuFdX/mzcOE4Z2Dtu1Wiunr9Ycwgc/HJA8ds05/XHDeYMkj0lxtLQO97y0DgDQo1Myltw/A43Ndlz9yA+yn3n/sXN5Cuj8p3/x5rIHgBfvmoxBvTJQWduIeKMeSQmhZbxhkVNufjmeePtPAMDgXhl44a7JIV0r2vlh01EsXbFHtH/lS5cyyamqrhFzF/8CAEhLNkKv03rT2r676Bx0SDfhvZX7vfVE5l44GFfM6Kf0bahKLD+fIkm0yOk//9uNVZuPifazvr/DjZJy8pxLqXlnxC0KJpPbJ9vfyn1TUxOvLQtfffUV7rzzTjQ3N+Ouu+7iKQmA21+yc+fOkilXtVotpk6dCgDYt28f8zWJ2KVFwm+cG8Qox+Y9J3nbwWRMGNEvK2Afog2Hw+lVEgAgPTk6MkREO9wAYJstuoPWpWqKeIgLMusPNzbDE+vgCGCqq6nnvwuEFoSmFjve/nYv5j31C+YsWoWjpeGrfM3N9pSdFv3xQ6EiVXFaKhzQ2mTDf7/Zi3e/28eLteHGc6UkxvECfD0WopYoLVxHtE8MMZ7BTE0ibltNSkqCyWRCTU0N7HY79Hp+F+x2O2pqamA0GpGSwrba+vLLL2Pp0qXQaDR4+OGHMXfu3KD7lZXlnsR5lBSibSMM2GRh6/4y7yqxh2AyJQnddmJBUbAJJnnRWIAqGuGauW2OyH/PLpcLThdbDQRhkSwuUuZ6f8RJBHEHKi5oESgqQpc8a7Md32044t1++r0teHfRuUH1ixVuILWpDWc8ijcG/h2brS2Y8+iP3u3EBAOuPWcA8ouqsXqrz7c6LcnIK5JndzhhabThh01HvfukAkkJIpJIub9xixAS8kT816vRaNC3b184HA4cO3ZMdPzo0aNwOp28+gpyuFwu/N///R+WLl2KuLg4/Pvf/5ZVEj755BP87W9/w+bNmyWPnzhxAgCCcnUiYhOHwymbrtHf6urrX+4S7btkcnCZskb282U0aImB9KgOwaTNSFVJmeCuxL/82U7847UNrc4jz4q1yYZ7/70Otzz1Mw4dFwftC/GnKATrGhfHsyiwKQrC35xT4A27cSc/zWZWWvjiZLjWDH2QSlIsIbXC73Lxv6uPfszjHf/yt0M4Xt6A+1/biJ//LPLuz0pL4Cl7X687jO83HeF9Nj2Gq98SbQMpi8IZg2m+x4IqT8LJk91+n6tXrxYd8+zzuAL54/nnn8dXX32FpKQkvPvuu7jgggtk2x4/fhw//vgjvv76a9Gx5uZm/PzzzwCASZMmMd0DEbuszT0he6zGT9E1qYJswVYI5bukRL9FQZiqcnjfLJmWBBfh6lVBUQ3++vxvEbn2l78dwtHSelTXN+Px//4ZsH1Ts/Q4vGRKb4zsH1yqPu7KsceiEKgOgqWRr6g4nfz2eceqeNuDemYE1adgsHMUBYOClYSjDTmXSafTCbvDhYo6m9if2+XCV2sOiT6j02p4rki/bCnCxz/yM68M60PPDUJd9BKJGYK1mLZXVFkenD17Nt555x28/fbbmDRpkrcA2t69e/HOO+8gPj4e1113nbd9cXExbDYbOnTogORkd3GrDRs24P3334der8dbb72FsWPH+r3mlVdeiQ8//BArV67EzJkzMWvWLADufLNPPfUUSkpKMGXKFKraHCJqByoFw6vLd8oek3MH4tZN4BLspIW70vzdxiMY0S8b8WGs2ttahJO8Ib0zI3btWBpTQn7irLhy8VcbJlSEcio8Xuv9u8EauDZIk0TRs1f/Pg29u6ZKtPYPd3zb7E44na6ABeeEFgWhXlEtjGEIsQAby3jijve2bFHo1z0NKYlxqLfwx4fN7sQH6+pwvFza+iVliaiolX42cglnZXK1iOXnUySJFjkZdOKxG02LAUrKKSkpCWazchZsVX693bp1w4MPPojFixfj2muvxfjx4wEAW7Zsgd1uxwsvvIDMTN+EZO7cuSgpKcFzzz2H2bNnAwBee+01AEBmZiY+//xzfP7555LXuv3229GnTx/07dsXDz30EJ599lncc889GDZsGLp06YLdu3ejrKwMvXv3xvPPPx/mOyeikS5ZiSitdKfilXPD2CrIkDSqfzbOm9gTowYEt+LK9fHfU1iJL9ccwo3ns2eViTRcV4wO6ZQalZXOmSaUVIjTO1ub7EgMMWsPK7sOVfC2zY02XqagTXtKsfR/e5CZFo97rxmFJs5E/o4rR+Dssd1DDj7VajWI02u9bnWVtY3eLEhycKucA2KLgpBwpkvluR5F0SRCaTQaDT5ZfD6Kyupx1z99NTR2FlTIKgkuAKlJ4tpHt1w8BMtW7sfOgxXiDwG48KxeivSZIFqDlEWBKq+zoZqUrr/+enTp0gXvvPMOduzYgbi4OIwePRq33347Jk6c6PeztbW12Lt3LwB3utWVK1fKtr3qqqvQp4+7ouJNN92Efv364Z133sGePXtQUFCALl264LbbbsNf/vIXb3ENon3RMcPkVRSsTdKKwqFin6/3jecPwtUzA8fQSCHMGvTF6oNRrShwfZbb8sRJaRb/9UzMf/pX0f6ahqawKwpCKmqsSEpwWwcam+14/oNtANyB+E+/twUpib7JX5+uqa3OUBNn0HkVheWrDwZ0PSoqq8epGqu3SrmwroKQnQWn/B5vDTyLQjvI/d+jUwqyUuNReTrbU02DfDIPl4tfH8RDry6puPXSobiTo3BwOXd8D2U6SxCtQGg96N01Ff26p6nTmRhDVXVq+vTpmD59esB2wnoLaWlpKCgQV5VkYeLEiQEVESJ48vLcgW/cCoWxAndVQc6i8Csny0drah/EWlCfXcXgzlgeUx3STfj2n5egwdqCp97dgoLTimaDRT5YPlQCyamqrgm9urgVhZp6/kTwVE0jdJwXqFTazGDhjpONu+TjgTxs3nMSm/ecxN1Xj8Q543L8FmgDgLIqKyyNtqAVLpbxxLUotBf/5bQUn6Lgrwik3eGEXNml7h2TedWZubTV7FGx/HyKJNEiJ51AUfjXPVMUdwNtDUrKSa6Kc6i0jychEXasVqvigzNcjB3kq6Ux59wBMBl9Ew4pReFkJd+FJLsVLjgZEity0YzNoZ4rRiyNKSm0Wg1Sk4y8ibM9gFtNKJRVNuDHrWXIO+rO5CV0EeMqB1KZtrjjW4nJMTfov1EmUFqK17/Yhf1HqgI3BHCqJvhxwTKeuG5Q8e0kw1cC5z4b/WR9A+StPRqNRtbfu61aImP9+RQpokVOwkzR0bYQoKScArlvBkt0SYogIgB3EaFvtzSeRUHoeuRwurDidHVRD62xKGSkxpaikJvni80I5EJCSMN1YbGHwb/+h201WLunHo+//QcsjTZkCKxWFs6YbpRxrfMQqUnd9ecNlNz/7YbDkvunjurG2xam7VUKbnCvUI5tFW5NBWG8iBBh6louUkpoglEX1nS2BMHKmEEdvc+3s0Z0Ubk3sUX7WDIhCA52QcCiySjteuRwOHHPv9ehuKzBu29436xWmStjbfLBzWgST8XWQoJr8g5HIG5Bidti0Nhsx+5DFSKFzmb3rer7q5kARG6VrX9OuuR+bgC4Qa/FU389E4kJBvTsnIKTVWYcLK4FEB7LDMDPAMVSlKwtwLUo+MuSNbhXRsD4ESHP3H5WyP0iCCVJT47Ho/PHI+9oNc6bSHEzwUCKAtHu4Prh6vUaXuq+IyW1p/+vw1Pv/un13fUwekCHVl071jIH1XEqT4+j4jQhwa2O/M63+zBuiHJyFAafulxiZYSrGHOVBikipSjIVYzump2I4+VuxVyv0/DS8eq0vr6Fy6LQxFGk2ovrUVqKL8FCqUSmLg8ajQbNgor2gSq1t8W0qETsMnpAh1a/w9sj5HpEtDtaOJMlvU7Lcz36c18ZbHYnFi3dLFYSBnbApVP7tOrawoCqaIerVLXG5ao9s42TWvdklQWWAO4dgNsFZE9hBczWFlibbPjh9yPYtLtUFEz6zjf7eNs2u0NsUeBsB6pBoITr0RXT+/o9/vfrRkMroyhwrXXCrnL7Fi43OG6q2ECT4LZCUoIv65U/i4K1yYYKQWzIwB7SliEPmamxtTBCEIQYUveJdoXL5UJBkS/VaWKCged6BABLvtwlemGOHdQRj986ISJ9jCa2c2IUIp3Ws60wfUw3XjXwUzVW9ErgFzOz2Z3e1Xyn04X7X9uAE6fM0Gk1vBS1j94ynmeR2LCrhHeeemsLbILVdo+F4djJerzw4Xa/fVXConDx5N7439pCyWMv/20q+nRLxYHTgddC/th70vu3sPihTsdVIsJjUeC6ZiW0E4sC9zuXSw8NAEdL61Fyil9jgau8XTqljyjGhCwKBBH70K+YUISsrCy1u8DEPkFWlWRTnOhltmb7cdHnlPTPz06NQ0Vd4Iq5alNSwZ8URFpRiJUxFYgzh3fhKQr3vLQOK1+6FIB7wvva8p3eMff8nZOQnZ6AE6cnZMIJ8fa8cr+uSw0WG+wC96Jv1h/GgaNVXv9+fyhh8ZJKsTqyn7tAYd/Tecvl0mz6gzspdYRgUQg0nlwuFy+YmVtfoi3DVRQCBTMLA5ZnjO3u/Vto5WnrSkJbeT6FG5ITG0rKSa/Xw273H48W1PkUOxPRrunRIzaCg8qr+D64ySYDTPGBJ8CtLULFZeEN4/DQG78rdr5wceREHW870opCrIypQIyXmNjn5pdjyZe7UckJFgeAh974Ha8tnCZ/Mo7HjlRgaYO1BTa7eD+LkjCoZ0bANiwIfytDemfiqdvO5O0LFFQtBTeuwV++fzkCjafGZrvX+hJn0CG+jU90PXAVhWBcuvp2T8PkkV2928dO1vOOt3ULbFt5PoUbkhMbSsopPj4eZrN0hfVQiC2HaYJoJcJJjEGvY1r5UtJfOZ0TPNg5M3qrgQszyySR61FISGXJeuLtP0VKgocKmf0AT0+QrDlQa26G3cFeu4DLo/PHh/Q5IUL3pStn9BO1GdY3y6t4ds5i+w2UV/v84z/4YX8reihNndlnTUhNah/WBEBcsZaVWy4awhvbHTNM3r9N8XpeIDpBELFL+1gyIcKOxeJeqU9MjN6JLwBU1voClD1ZfFgqh47qr1ymhOYmXx8cYUrzqAQvf7aDtx3pLDCxMqaU5ql3t8ge47oivfz5DtHxsiqLpEVBin7d09C7ayoam+245eIhSDYpMzkWKkZSE9H4OD3euH86jpbWw+VyYbHEPd999UjeNnfFusRPdh45Ao2nOosvw1dqklGyTVsk1LgUYeD71TP7Y+v+MjTbHHi2HaRFba/Pp2AhObGhpJwcIS4WyUGKAqEI+fn5AIAxY8ao3BN5XC4Xln3vW4ns3dUdUMpiUZg4rLNi/Th61BfwF66gzNZiszshdCOXy1QTLmJhTCnBwuvH4KVPcpnacl1DqgRZuQCgrNLC7D4yuFcmbr10KFsng6R7xyQcL3ebvnM6JUu2yUxNQGZqAvKLxIHNbz4wA9078j83ICcdBcW+RAROpyuoMRloPO0+WOH9O7WdxCcAgCFEt0q9ni/7rtlJeHfROdBqNO3Cbau9PJ9aC8mJDSXl1Ngob5UOBXI9ItoNm/aU8rY9K2mBFIXzJ/ZUtB9abgrIMOWDby2llXz/xi6M7iGENA/ffIbssUB5vc8c7lNSuePlvAlin1ZLgMrLvOsODF8+8buuGonJI7vikblnID1AkUGp3x/XjcXDX2cP420HSvUaDC02Bz7+Kd+73Z4sCqH+tg16sYJhije0CyWBINoT9Ism2g2rtxbztj2mc7n4g86Zifi/eeNkV0RDhWuxj1bXo3ozPytTK4pRE3BnPnrwprGS6UkTjHpcOaMfvlpzSHTsnqtHIj5Oj8173GlDudYCliB8Ke69ZhR6d031WtTCweBemRjci81HXUpRkEoe0K97OhKMem8gtM3mkMywFAoHOZYKoH0pCqHWR9Hr6KFAEO0BsigQ7Qahq4bnRafRaHDBmT1F7RMT9OjROUUyGLU18CwKUep6JHRfCcUnnODTKUO8cpuWbIRBr8UN5w/CI3PH4YEbx/KO6/VaXv0A7vcSyMUoTq/FGIHVYGT/bMwclxNWJSFYhEHyT/5lomzbOIPvlSWsQN0aGqz8tKDtyfVIo9Ggg4QFJxBSFgWCINoepCgQ7QaRosAJ4hvRL1vUXsmUqFy0PItCbCgKROuRslyN6OsedzqtBhOHdealmwTcY5Bfkdg3XqTSo3IZ2DMDj87np6iMdJwJC6Z4A+ZeOBidsxLxt2tH+XXFkpNFazELCiy2J4sCAIQyLBIZkkAQBBH70C+daDcIqy1zJx3pyWI/6nAVDOLHKETnhFw4CYvGCWasIZUGtH+PNL+f6dM1FaUca86RklpvEG8gRWFAj3QIvzVtlPqQXTGjH66QSKMqhFsQTkm3PZFFoR2lRwXcCyVlVUVBfSZJoSxZBEFEN2RRINoFUhNyro9th4wE0XEp5UEJtFqfz7/d4Yq61XuHw4l/fcz3pY8LMYUi4UOYThIApo7qJtr39+tGo3NmIq4/byA6ZSbyXI+q65vxz9PfjTNAdeOLJvUWxZboYlzhM3BkoazrUfu2KAgzTHFJMIotYfdeMzKMvSEIIpogiwKhCAMHDlS7C36pNTf7PZ6eHA+DXsubfHALoynJ4EGDkGKqQJ3FPTmpMzcjM1WsqKjFyt+PokUwCYt0DQUg+sdUKGg1gMcQYIrXS05Ip4/pjuljunu3hQG7v+8uxT8cTgTyWktMMCgeX6M2fNej4BQFf+OpvSsK/hYCHrjxDDz5zp+8fVlp0fO8Uou2+HwKByQnNpSUU0JCgqIpUklRIBQh2oupCLOaAHz3Gq1Wgw7pCbyg3bTk8EwWEhMTkZZs9CoKVXVN0Ou0SEmMi4qJ3W/bikX7hEG2kSDax1QoTBzeBZt2u9P03nHFCKbPSMU2WJrscPmxKGg00pM/pbIEqQXP9SjIGAW58XSkpA4//8l3u2lPwcyAtGvh24/MRLPNgR6dUnD5tL74el2h9xilQG2bz6dwQHJiQ0k56XTKPufp1060eRwOJ559f5t4v2BJtkO6iacopCSGb1WRe+2Fr24AAAzrk4WnbjtTdfcQcyPfX7trdiKG9mFLdUn4Z865A9Bic6BXl1RMGdU18AcgPbl3OJx+YxRcLnGFZCD2J3iGVlgU5Hj8v3+I9sW6nIJFOFY6ZJjQKdM3cbn+vIE8RSFc8VsEQUQf9GsnFKGoyL0i16OHuAiU2nALKXERTrSSBauIKWEK1isqKsKJU2bR/r2HK7H7UEXAAlzhRhjP0bdbuiqWjmgeU6HSo1MKHhNkIgqETiK2weYQV85mIdYneNxMZcEqCp7xlJOTg2abw+tOJ3RLfGz++Fb2MvYQrk1kJfOVU6F1KjHEGh5tibb4fAoHJCc2lJRTU1NT4EZBQBGKhCJUVlaisrJS7W5IIlXISgrhJCo5MTwvQ39yqq5TtvR6KNQ08CdONodDlX5E85iKJFKFrRwOV8BgZiniZYoLxgpca5s1iCrUgHs8FZ0ox+0vrMFVD/+AN77aLdkupZ25HQFii4LTYRMdnzbGHXg/ZmAHilEAPZ9YITmxoaSc7Pbgno2BIEWBaJfEx+kwdTQ/44xBsGqWHMb0fzNHShe8EgYRq4HQzSiUlWtCOaT8x+0Op98YBTmSTLG9EsydxL/48XYcPlEb1OdzD1tQUuG25v30xzFUSSjm4aqfEs0IFQXhsxAA/j5nNP778Ew8fmtwFjGCIGIbUhSINk+yYHJ07TkD8M97pogqwgrTV4ZzZXHiwCTJ/UqmfAyVDEFaWKm0nkTkkJK/PUTXI+GYjzXOm9jT+3dziwN/e3m9ZKICOQpL+SZ5YRFGoH0qCkJd1KgXK6cajQadsxKjIuECQRCRg2YARJuHuzqWlmTEdbMGoGfnFFE74QswnP7cOq0GF53VS7TfHgWKgl1QyCozNTz1JAg2pILbha5HmSlsYzUxIbbdakb0y8a4wZ14+z76MY/ps802J45X8tOgVtRIWBT07VBREIyxFFP7kwFBENKQokC0ecyNPn+9/zx0tuyKmDA4MtwrZ9npYj9fa7N/30KHw4mSCnNIbiesCNNOnjG4Y9iuRQRGyqJQ3dDEsyhU1bP5pMa66xEAXDatD2/bIsjSJUedxSGywrwoKCwIAHGG9vdaFD7rSFEgCMJDbKfAIIgA2OwOtNjcwbg6rQaJ8fJDPtKr+cP6Zon2NfpRFFwuF/7x+kYUHq9FYoIBHz0xC4YwrH7aOArT8L5ZGNpb3E8ickhlPXrq3S0Y0S/47yXWXY8AoG+3NN62MFuZHA2N4qB8qRSz7dP1iBQFgiCkaX9LJ0RYMJlMMJlMandDBLcmQKBKtUrlZQ+ER1b9uqeLjp2qtor2FZ6oxdIVe/C/tYUoPF4LwL2K+ougSJRScNOjXnV2P8lg2kgQrWMq0sjV1cg7Wu39++xRGbKf58badM6M/eJHCUY9zhmX4932V1WYS7ODbfLLer62hPCx2CFDOoaK8EHPJzZITmwoKSetVtlnGFkUCEUYNGiQ2l2QpKnZt4oYKObAFiFFgSurmy8cjA9+OODd3rK/DI3Ndl5fH126WVQEDQAOCTK+1JmbkX+sGiP6Z3tzxIdCc4tPZlKr2ZEiWsdUtMDNkDV+RB/8trNast2TCybixz+OYdKILm2mkNhZI7rg163uCuLc8eqPjQfEtUukUHPMq8XxUw287fGjh6jUk9iBnk9skJzYUFJOJpMJZjPb846F9vdEJNoV3IDPQCvjamQcumxqH/Tqwg+s/vnPY7xtKSUBAFpsvv46HE78/dUNeHrZViz5Qjo/PCtFZb5JQ8cMWgmKBTQaDRZcOlTyWN/uabj76pEYpXIhPyXhVqtuYlAUDhbX4GSlr+r6rAlU/ImLzcZ/9rUVhZIgiNZDigLRpuH6IAv9cIWokXFIr9PittnDeftYJj4AvLEXAHC4pM7rtrR+5wnkF1Xj/tc24P3v9wfVH5fLhaYWX5xEZioVVooGJgzt5Pe4VqPB+Wf2wvkTe+KsEV3w4eOzItQzdTByCsflHatGUVm93/arNh/lbRvaodXAH9eeO8D794AeYpdIgiDaL/S0JBQhNzcXubm5andDRDAWhWZbZCoQC2VliucHmLImW+IqCkIl6IUPtiG/qAb/W1uIXQdPMffN4XR5M8NotRpZ//hIEK1jSg0euPEMPP3XM2WPHz5cCINeizuuHIGHbjoD6SltO6Vt947JvO2/v7zeb3thtqMZZ3RXuksxjV6nxbf/vATvLjoHc85KpN8dA/R8YoPkxIaSclLS7QggRYFo4/AtCv7bDuvjyyLTOStyQZ/ZafxV+wNHfL7m/tKg7jxYgSVf7oLT6RL5GFdyCkntKKhg7gvXqiJVnZVQB4NeixH9s3Hm8M6Sx9tbDSxhDE6giuZOwe8oK40sZUK0Wg06pJOrIUEQfGgmQLRpeIpCAE3h0ql9MKp/Nnp2TsGieePC3TUviYKUlTsKfBYAqfSNXH7+swgLnv3Vb5GoA0ermPvCDeimiszRx9ljcyT3a9DONIUg6ZTBV/xpbBMEQbBBEUtEm4a7kBiogJrRoMNiP+4daiBcCZXiVE0jiv34aBcU1SC/qBoDe8in0PRgI4tCVCOXuau9WRQA4IrpffG/tYUAgKwA1cO59UnmXTRY1qWud5dU5TpIEATRBqCZANEmcThd+OfH23HfKz7fZbXqAQRLgtFnHXBIWBSSTQZcN2sgb19JhUXUjsvHP+YxXZsUhehGp5Mew+1RURjU06f49u6a5rettYlfT0VoUZg2phtmTeiBB28eq2gfCYIgYh2yKBBtkvxj1diws4S3TxfFs6nzJ/bEj38cA8B3L9l2oFzUduygjhgoyEyyfucJv+c/VdPI1A+b3RcgTZlhog85l5koHtphg2sh3HqgzG9ba5PPomCKN4gsChee2QsDewa2uBEEQbQ3VFUUNm/ejKVLl6KgoAA2mw1DhgzBggULMGXKFOZzHD16FK+//jpyc3NRW1uLnJwcXH311bj++uslq9OVl5fjjTfewKZNm1BRUYHOnTvjkksuwYIFCxAXFydxBSIWKa8Wr7BH82SKW0uBGyfwxeqDorZZaQno3TU4FwlhHIQcXIuCniwKUYecVSyQW11bxMpxJwKAYyfr0bNzimRbC8eiYIrXi+RIdQMIgiCkUW0msGLFCsybNw87d+7E8OHDMWrUKOzcuRMLFizA8uXLmc6Rn5+PK6+8Ej/88AO6dOmCyZMno6ysDE8//TQeeOABUfuysjJcffXVWL58OVJSUjBt2jRYLBa89tprmD9/Pmw26cJWRGBycnKQkyMdaKkGtQ3Non2WJrtEy8gjJas4TgGpYk7Bs+r6JghJSzIiNcmIBZdJF9iShCHWAQDsjuhxPYq2MRUNyFkUOnXsGOGeqM+4wfx7PlkpnxKwkfPbT4w3iBQrbgG39g797tggObFBcmJDSTkZjUZFzuNBlWWU8vJyPP7440hOTsann36K/v37AwD27NmDefPm4ZlnnsG0adPQ0c/Lz+Vy4YEHHoDZbMaLL76ISy+9FABQXV2NuXPnYuXKlTjnnHMwa5av8NATTzyBsrIy3HvvvbjjjjsAAFarFXfeeSc2b96Mjz76CLfccksY77ztkp2drXYXeEilSzxe3iDRMvJIyYo7Acw75k6P6nS6YLa2iD+f7k7teMnkPnj7m31M12StOs2LUVDZ9SjaxlQ0IBeEm5He/opkmeINmDisM/7YexIAcOxkAyYOk27LtSgkxItfeyaJfe0V+t2xQXJig+TEhpJyMhgMaG4WL5aGiiozgU8++QQtLS2YO3euV0kAgOHDh2PBggVobm4OaFXYtGkTCgoKMG7cOK+SAAAZGRl44oknAAAfffSRd/+RI0ewbt065OTk4LbbbvPuN5lMeOaZZ6DT6fDxxx8rdIeE2nBXxmMBYbE3l8sFa5MNUtlRszm5zrtms9V7YJUHP5iZVlmjDdkYhXbqJTa0T6b371Wbj/KClrnwgplPFzi8bGofAMDUUd2QmqTsChxBEERbQZXXy8aNGwEAM2fOFB3z7NuwYUPI5xg9ejQyMzORm5vrrVD3+++/w+VyYfr06aLYhS5dumDw4MEoKSlBYWFh8DdEoKKiAhUV7IW9wo3DweZqowZSshKuFNvsTtRIuE8B/AJt55/Zi+maNkZ5cKs9Gwzqzj6jbUxFA3JZj+pqayPbkShh2mhfheXahmYcLqmTbMcPZnZbD+ZfMhSfLD4f/7hhTHg7GWPQ744NkhMbJCc2lJST0m70EZ8JuFwuFBYWQqvVonfv3qLjPXv2hFarRWFhod+qtJ4JPdciwaVXr15wOp04fPgwr32/fv0k23v6cvCgOHiUCExxcTGKi4vV7oaXaLYoSMnKGMdfvW9stkvGJ3TOSkRKoi/o/qKzemHBpYFjFeyMrkdNLT5FIT5OXYtCtI2paECusF55uTg7VnsgJTEOA3J8bldS49zhcArGtc/NiPtbItzQ744NkhMbJCc2lJSTkm5HgAoxCnV1dWhpaUFGRoZkliG9Xo/09HRUVVXBYrEgKSlJ8jynTrmr18r5dXn2V1ZW8tp36NCBqb3SmM1m5Obmivbn5OR4r11RUeF3oIwZ41v5ysvLg9VqlWyXlZWFHj16AAAsFgvy8/Nlzzlw4EAkJrrdV4qKimTv32QyYdCgQd5tqXvx7I+Ge5KqPyDsN+s9AeH5noqKirz3NDgnmXdsW+4uHK/0xSd0yjRh6qhumDq6G4qLi3nfU1cG76Om5hbR/Und0/5DvoBQq7nO+xk1x15eXp6q35OavyeAf0+WhhrJNhqN+xyxeE+t/Z4cNt+253fPvafGFp/yYDRosHPnjqi/Jw/0LI/+7yk3N7fN3ROg/PeUm5vb5u4JUP57Cuc7N1QiblFobHTnc09ISJBtEx/vrrJpscgXkfKcx9NW7hwe4QbbnohtotmiIIUxTgejwedW0mJ3wdzoWwUd2S8TN5w/CN07Jkt9HGP7+tcW7IyuRxV1PheNjGQK8Iw25DJRtcPsqF60nJt3SPzum3iKQjsN5iAIgggRjcuff08YKC8vx5QpU9C1a1esWbNGss2MGTNQUlKC9evXo1OnTpJtZs2ahWPHjmHNmjXo2rWr6PhDDz2Er7/+2psR6ZZbbsGmTZvw0UcfYdy4caL2r7/+OpYsWcLLiKQEBQUFMJvNSEpKwoABAxQ7b7QhpQWryWvLd+LXrWJtfeVLl0q0jixysvrby+tw+ITbx/qle6dg4au+OJ2bLhiEq86WdrMDAEujDU++8yfMjTYM65OJVZuPidosf+YCmOLl6ym02By44qHvvdv/N28cJgztzHRP4SDaxlS0cOn938EpsJjddn4HXDhzoko9Updnlm3Bn/vcBdf0Oi00GmDeRUNw8WS3O+nR0jrc89I6AECHVD3efexCtboaE9Dvjg2SExskJzaUlJPnXErNOyO+ZGgyuTO2+POhampq4rWVwmOR8LSVO4fHdMTa3t81idhBzvUomuH6n68WKDlJJv++1IkJBrx492S4XC5JBQkAmlscfhWFbzcc5m3ndJK2XhDqIlQSAP6qentDx8kE5bEkfrPhsFdR4AYyk0WBIAgiOCL+1ExKSoLJZEJNTQ3sdnEBLLvdjpqaGhiNRqSkSFfZBHyxBnJ+Y57ocY8/GGt7uRgGIraINdcjAIjjTGJ+/OMY7xhrQSiNRiPbVpiCVci6HSd42x0z2FKvEurTjvUEydoSp6p9LqTc1KikKBAEQQRHxJ+aGo0Gffv2hcPhwLFjx0THjx49CqfTKZvNyIMne5FUOlOXy4UjR45Ap9OhT58+AdsD8GZHCnRdIjaQSo961oguKvSEHX91C+QKbUmRYJQ2FHIzv0hhbeSnVAvmmoS6kKIgT1Ozb9zHGdqxoAiCIEJAleWVyZMnAwBWr14tOubZN3XqVKZz/Pbbb6JjO3bsQHV1NcaMGePNmuRpv3btWjid/NXm0tJS5OXloWvXrujbt2+Qd0MAbr+6aPFBdDpd2LSn1Ls9rE8Wzp/YE3+5TKZsa4SRk1Wcn9VOuUJbUsilfPxJYKUQcmaUKVLRNKainWFDA6fIbasUnqiV3O8Jv9t3xGdF7pCdKdmW8EG/OzZITmyQnNhQUk5y2UJDRRVFYfbs2TAajXj77bexb98+7/69e/finXfeQXx8PK677jrv/uLiYhw+fBgNDQ3efePGjUO/fv2wadMmfPHFF9791dXVePLJJwEA8+bN8+7v3r07Jk+ejCNHjuDVV1/17rdarVi0aBEcDgevPRG77DrEL1py4/mDcMeVI5CRIp3xKlrwl1ZArtCWFP1y0tGve5po/7rc434/l8iJX7jqbOl6I0R0omnHJoXj5WbJ/U4X0NRs5wX2G4JQuAmCIAgVgpkBoFu3bnjwwQexePFiXHvttRg/fjwAYMuWLbDb7XjhhReQmelb+Zk7dy5KSkrw3HPPYfbs2QAArVaLZ599FjfffDMeffRRfPXVV+jQoQO2bt2Kuro6XH311ZgxYwbvuo8//jjmzJmDpUuXYs2aNejVqxd27NiBiooKTJkyBXPmzImcEIiw8fJnO3jb/XLS1OlIkPgLSA3GoqDTavDsHWfhZKXFm+0FAMYNkc4g5sHGKVbFLUpFRD/tWE+Qxel0oqSCr0SUVsqn3CYIgiDEqLa8cv3112Pp0qUYMWIEduzYgX379mH06NFYtmwZLr2ULYXl8OHD8eWXX2LWrFkoKirCpk2b0KVLFzz55JN44oknRO27d++OL7/8ErNnz0Z1dTXWrVuH1NRULFy4EEuWLIFeT5OjUMnLy0NeXp7a3cBv24pR2+DLqHX7FcODmmRHAjlZTR0tTvPrQR+ERQFwT/R7dUnF2Wd09+7rnOk/OLnFzvXlVl9m0TKmYoEjRw4HbtTOcDhc0AriF8xmUhQCQb87NkhObJCc2FBSTkrXA1N1Zjx9+nRMnz49YDu5egsA0LdvX7z22mvM1+zcuTOee+455vYEG9FSqK7weC1ve2R/6crdaiInq+F95fuqC1HZyeEUaKu3tvhpybcoRIOLRrSMqVjA1iyd9rk943C60CLI9KVB7KVNjjT0u2OD5MQGyYkNJeUkjMNtLerPBghCQazNvpS7M8/IQZcsZYN6wkliggFyCVz6dE0N6Zxds333v/9Ild+2Npvv4aL3k4GJUJfUJHGwejAxLG2NB28aK7nf4XTxlF8AQPsVE0EQREiQokC0KbgTgxFRaE0IxPXnDRLte/aOs/wWSvPHsL5ZXrelo6X1qKprlG3LlV00uB4R0qQlGUX7osAApBpnDuuCLllitzqH0ylWFAiCIIigaMevF6ItYuP42Rv0sTe84+P4K/kP3XwGhvXJCvl8pngDBvfyJQbYWVAh29bmiG3ZtRdabOLJb3uueaHVajB2cEfR/h83H4MtBgsvEgRBRBM0GyDaFDw/+xic7ApjEVJlaiIEQ/+cdO/flX4sCtwJaBy5HkUtZw7vLNrXnhUFANBI+BR99kuByKLQvqVEEAQRPLE3kyIIP0RbQG6wCLO0yBVPCwauwmT3s8Jqt3NjFGJPdu2F8yb2VLsLMQO5HhEEQbQOmg0QipCVlYWsrNBdZJQiFiwK/mQlrKWQkij2Rw8WbqCrwyGf9YXrphENsouWMRVtdMpMxKJ547zbw3untns5jRsidj0CALudn/UoNSm6iy5GA/S7Y4PkxAbJiQ0l5aR0qn8qHEAoQo8ePdTuAoDom+xK4U9WQg+SxITQgpi56LVsFoVmTirJuCiQXbSMqWhk7OBOuGxqH9TUN2P+pUOQnty+J8DD+mThnqtH4rUvdvH2Cy0Kd187DoR/6HfHBsmJDZITG0rKKT4+HmazdMX6UCBFgWhT2HkWhdjzsxfmfVdC2eG6ETmc8hYFi9Xm/TvJ1HqXJyJ86LQazL9kqNrdiBo0Gg3OGd/Dr6IwfkgndMgwRbhnBEEQsY36y4ZEm8BiscBiUb/qaSxkPfInK24dCKXQc8wU/iwKJ6t8fUqOAkUhWsZUtENykoerKGSnGUlODNB4YoPkxAbJiQ0l5eRwOAI3CoLonEkRMUd+fj7y8/PV7kZMxCj4k1VjGBQFbiYluRiF3Pxy3rYSLk+tJVrGVLRDcpKH64pYV1tNcmKAxhMbJCc2SE5sKCmnxkb57IahEJ0zKYIIkVhQFPxhbQqDRUEX2KLw4kfbedvtPd0mEZssuNTnjpWVlsB7HuhpTBMEQQRN7M2kCMIPvIlBDKZHVSIdqhAWi0I4FBSCiDTjh/pqTGg0/OcBN/sXQRAEwUbszaQIwg+xkPXIH5dO6YPUpDhoNMD9N4xR5Jy8rEdOsUXB5ZIPcCaIWELPSwXshI2THCAGHwcEQRCqQ1mPiDaFLcazHiUmGPDO/50Ds9WGrLQERc4Zb/TJobahWXS81izeRxCxiI6XCtjFWzggiwJBEETwkKJAtBkcThecnPSf+hidGMTH6REfp9xPs1eXVO/fR0pq4XC6eDEIjeR2RLQR9IIq5BSjQBAE0TrIGEu0GewCtyONhiYGAJCZGo+MFHdBrsZmBw6fqOUdb7Ypm0qNINSCnwrYxaurQhYFgiCI4CGLAqEIAwcOVLsLMZPxKNKy0mg0GNEvC2tzTwAAdhacQv+cdO/xaFUUomFMxQIkJx/8wH0nr8BgTreuGDiwoxrdiiloPLFBcmKD5MSGknJKSEhQNEVq9M6miJgiMTERiYmJqvYhFoqtAerIavSADt6/9xRW8o41t0SnohANYyoWIDn54AUzO108K6PJFE9yYoDGExskJzZITmwoKSedTtn4zOidTRFEkPAsCjGYGjWc9OTEKQiDl1ui1KJAEMGi0Wh48Tdcaxk30JkgCIJgg56chCIUFRWhqKhI1T7YYyTjkRqySjD6vAyF1Z8tjTbe9oLLhiIaiIYxFQuQnPhwA5q51rKqygqSEwM0ntggObFBcmJDSTk1NTUpch4PpCgQilBZWYnKysrADcMIL8NJFLseqSErnqIgyHJUa27x/j1pRBdcMrlPxPrlj2gYU7EAyYmPXsai0GCuJzkxQOOJDZITGyQnNpSUk92ubCbD6J1NEUSQxEowsxokcGopmBtt2H2wAtYmtyWhwepTFHI6pUS8bwShJBaOInykpM77t46yoBEEQQQNzaaINgMpCvIY9DpeAbdFb23GE2//CZfLxXNFMsVTIjSibUIhCgRBEMFDj06izWBzxEbWI7XIPF1LwUPesWocO1nPc0XiuigRRFtCSxYFgiCIoKHZFNFmoKxH/pEqOGVtsqOxhaMoKFgRmiDU4IIze0ruJ4sCQRBE8NCjk2gzNDX7LApxhujNeqQWegnlyenkux7FG0luRGxz84WDJfdz06YSBEEQbNDyIaEIJpNJ7S6gotZXiTAzNd5PS3VRS1ZSmaBqGpqwI/+Udzs+ilyPomFMxQIkJz6meAO6d0zC8XIzf39CPEwmo0q9ih1oPLFBcmKD5MSGknLSarVwOp2BGzISPbMCIqYZNGiQqtevqW/Cu9/t825zA3ejDbVkJeWO9cZXu3nb0eR6pPaYihVITmKk3pFDBg1Adnr0PheiBRpPbJCc2CA5saGknEwmE8xmc+CGjJDrEdEmEE54O2bQKoYQKdcjq6CmQpyBHglE7FNSIX5JJpsMKvSEIAgitqFZARHzmK0t2J5X7t2O02sxbnAnFXsUnUgFMwuJ5orWBNEajHE0tgmCIIKFFAVCEXJzc5Gbm6vKtWsamuFwurzbHy8+P6p87YWoJSspi0IobSKFmmMqliA5sbFjxw6SEwM0ntggObFBcmJDSTkp6XYEkKJAtAHsDp9Dco9OyVQLQAaW2hJUf4JoC6QlU9AyQRCEEtCsgIh5qCIzGyzWApIf0RZ49vaz1O4CQRBEm4BmBUTMw1cUyA9ZDibXI1IUiDaAkeqoEARBKALNCoiYx04WBSb0LMHMURSjQBChIgzcH5CTrlJPCIIgYhuaFRAxj40ToxBNwbjRBotstFS9lmiD9OySonYXCIIgYhKK+iRiHpvd4f2bLAry+HMrSkww4KoZ/SLYG4IIHymJcWp3gSAIok2gmqKwatUqfPDBBygsLIROp8OoUaNw5513Yvjw4UGd57vvvsPy5cuRn5+P5uZmdOnSBWeffTZuu+02pKam8tqePHkS06ZNkz3X6NGj8dlnn4VyO+2enJwc1a5tt/tSo8aCj71aspKzKPTumopX7psKjSa6rAlqjqlYguQkRhir5HS6SE6MkJzYIDmxQXJiQ0k5GY1GNDc3K3Y+VRSF119/HUuWLEFiYiImTJiA+vp6rF+/Hr///jvefPNNTJ06lek8jz32GJYvX464uDgMHz4cycnJ2Lt3L9577z2sXr0an332GbKysrztDxw4AAAYMGAA+vfvLzpfr169lLnBdkh2drZq17Y5YsuioJas5BQFrVYTdUoCoO6YiiVIToFxuUhOrJCc2CA5sUFyYkNJORkMhthWFPbt24clS5aga9eu+Oyzz9CxY0cAwLp163DnnXfikUcewerVq5GQkOD3PBs3bsTy5cvRsWNHLFu2DH369AEAWK1W3H///Vi9ejWeffZZ/Pvf//Z+Ji8vDwBw66234pJLLgnTHRKRhpf1iGIUZJELZtZFoZJAEEridLkCNyIIgiBERHxWtWzZMgDA3Xff7VUSAGDatGmYPXs2KisrsWrVqoDn+frrrwEA9957r1dJAACTyYRnnnkGWq0Wv/76K1paWrzHPBaFIUOGKHIvhI+KigpUVFSocu2dB33XjQWLglqyMsVLrwtEawCzmmMqliA5BcblcpGcGCE5sUFyYoPkxIaScrLZbIqcx0PEZ1UbN26ERqPBjBkzRMdmzpwJANiwYUPA8yQmJqJfv34YNWqU6FhaWhrS09PR0tKC2tpa7/68vDyYTCZyMQoDxcXFKC4ujvh17Q4ndnMUhcxU/5aoaEAtWY0Z2FFyf7QqCmrJKdYgOQXG5SI5sUJyYoPkxAbJiQ0l5aSk2xEQYdejU6dOoa6uDp06dRIFGgNA7969AQAHDx4MeK6nnnpK9lhpaSmqqqpgNBqRnu7On11bW4vS0lIMGTIEy5Ytw7fffouioiIkJydj+vTpuOuuu3gWDiI2aLC2wNzo055njqPAKTlSk4yS+7XkekS0dWiIEwRBhERELQoes4pc0IZnf1VVVauu88orrwAApk+fDoPBAMAXn7B//368/PLLyMzMxPjx4+FwOPDFF1/giiuuwJEjR1p1XSLyWDhKQlKCARkp8Sr2Jvp5/7FzRfu00e+tRRCtoncX8cIUQRAEEZhWWxQWLlyI/fv3B2x3zjnneLMZyQUqG43uFU+r1Rpyfz7//HN8++23SEhIwD333OPd74lP6N+/P9588010797de61HH30U33//Pf7xj39gxYoVIV/bH2azGbm5uaL9OTk5XgWpoqLCr+lpzJgx3r/z8vJk5ZSVlYUePXoAACwWC/Lz82XPOXDgQCQmJgIAioqKUFlZKdnOZDJh0KBB3m2pe/Hsj+Q9naj0mdhSEtzXV/qegPB8T0VFRap8T9OGpWDd3nrvtk6rjeqxl5eXp+r3pObvCWC/p9zc3DZ3T0Do39MFY9OwanstdFogVVcFz+sulp4R7elZHol7ApT/nnJzc9vcPQHKf0+5ublt7p4A5b8nz+fDcU+h0mpFobS0FEePHg3YrqKiAlrGpUun0xm4kQRffPEFnnzySWg0GjzzzDO8IOe5c+fi3HPPRWJiIjIyMrz7TSYTnn76aWzbtg379+/Hrl27MHLkyJCuT0SeFk4NBYOe/AtYEIYkRGuMAkG0hjP6JaJrZhyS4rVINVFtUYIgiFDQuFyRyxuXn5+PSy+9FCNGjMAXX3whOt7U1IQRI0YgOTkZ27dvD+rcS5Ysweuvvw6tVovFixfjqquuCurzDzzwAL799ls89thjuP7664P6rD8KCgpgNpuRlJSEAQMGKHbeaENKC47IdfPL8cTbfwIARvXPxuK/nhnR64eCWrLysGLtISz7/oB3e9zgTnh0/nhV+uIPteUUK5Cc2CA5sUFyYoPkxAbJiQ0l5eQ5l1Lzzogus3To0AEAZE04gWIYpLDb7Xj00UexYsUKxMXF4cUXX8T5558fdN88hdkaGxuD/iyhHg6HT8/VUQ0FJoRVaylGgSAIgiAIKSKqKGRkZCAzMxNlZWXeVXYuhw8fBgDJqslStLS04M4778SGDRuQkpKCN954A+PGjZNsu2TJEhw8eBB33nmnpIZ14sQJAECnTp2CuSXiNGqtFtgcnGJrMVBDAVB/ZSXOwJdTtLoeqS2nWIHkxAbJiQ2SExskJzZITmwoKaekpCSYzWbFzhfxmdXkyZPhcDiwdu1a0bHVq1cDgDfoORALFy7Ehg0b0KFDB3zyySeySgLgdgH6+eef8eOPP4qOVVVVYdOmTTAYDBg/PvpcMAh5HBxFQRelE95oI84gsChQelSCIAiCICSIuKIwZ84caDQa/Otf/8Lx48e9+9etW4evv/4a2dnZuOiii3ifOXz4MA4fPsxzC/rss8/wyy+/ICkpCR9++GFAK8Q111wDwF0ZmhuVbrFY8Mgjj8BsNuPKK68Myu2JUB87R1HQx4hFQW3iBK5HOvI9IgiCIAhCgoinghg5ciTmz5+Pd955BxdffDEmTJgAi8WCbdu2Qa/X41//+hfi4uJ4n7ngggsAAB9++CHGjx8Pu92ON998E4A7nuGNN96Qvd4jjzyCjIwMTJo0CfPmzcOyZctwww03YPTo0UhPT8f27dtRU1ODsWPH4sEHHwzfjbdxPHUquGnCIoGdE6Ogj5EJr1qy8mAQuB4JXZGiBbXlFCuQnNggObFBcmKD5MQGyYkNJeXUmhIDUqiSM+7+++9H37598dFHH+GPP/5AYmIipk2bhrvvvhtDhgwJ+PmCggKcOnUKAHD06FG/6Vn/9re/edOhPvTQQxgxYgQ+/vhjHDhwAE6nEzk5Obj11ltx8803e4uzEcGj9MBkJRYtCmrJyoNRYFEQuiJFC2rLKVYgObFBcmKD5MQGyYkNkhMbSsop1BIDcqiWXPryyy/H5ZdfztS2oKCAtz1kyBDRPlbOP//8kLIiEdEJT1GgGAUmhBYFnY7kRhAEQRCEmNhYgiUIGeycgmuxYlFQG2Hw8qbdpSr1hCAIgiCIaIZmVkRM4+CY2PRUR4GJtGQjb7uqrkmlnhAEQRAEEc3QzIqIaex2TnpUcqFholNmIm/bFK+aByJBEARBEFEMKQpETGN3+lyPDGRRCImBPTPU7gJBEARBEFEILSUSipCVlaXKdfkWhdhQFNSSlRzRWqgu2uQUrZCc2CA5sUFyYoPkxAbJiQ0l5aTX62G325U7n2JnIto1PXr0UOW6liab9++EuOhM8ylELVlxyU5PQEWNu4Dh8L7RWWQwGuQUC5Cc2CA5sUFyYoPkxAbJiQ0l5RQfHw+z2azY+WJjCZYgZNh9qML7d2Zagoo9iS0evWU8enZOwfghnXDRpF5qd4cgCIIgiCiELAqEIlgsFgBAYmJigJbKUVZlQVmVr0hJVowoCmrISkivLql4/R/TVbs+C9Egp1iA5MQGyYkNkhMbJCc2SE5sKCknh8PR6nNwIYsCoQj5+fnIz8+P6DV3HvRZE4xxOuR0TI7o9UNFDVnFIiQnNkhObJCc2CA5sUFyYoPkxIaScmpsbFTkPB5IUSBiltIKnw/eueN7IM4QGzEKBEEQBEEQsQApCkTMUl7tczsakJOuYk8IgiAIgiDaHqQoEDGLjZMaNcFI4TYEQRAEQRBKQooCEbNwayjo9TSUCYIgCIIglIRmV0TMYnP4FAUDKQoEQRAEQRCKQrMrImbhWhQMMVKVmSAIgiAIIlYgx25CEQYOHBjxa9pi1PVIDVnFIiQnNkhObJCc2CA5sUFyYoPkxIaSckpISFA0RSopCoQiqFFMJVZdj6jwDBskJzZITmyQnNggObFBcmKD5MSGknLS6ZRNFR87syuCEECuRwRBEARBEOGDZleEIhQVFaGoqCii17TZfWXKY8n1SA1ZxSIkJzZITmyQnNggObFBcmKD5MSGknJqampS5DweYmd2RUQ1lZWVqKysjOg1Y9X1SA1ZxSIkJzZITmyQnNggObFBcmKD5MSGknKy2+2KnMdD7MyuCEIAuR4RBEEQBEGED5pdETFLrGY9IgiCIAiCiAVodkXEJC6XS+B6pGyUP0EQBEEQRHuHFAUiJnE6XXC53H9rNYBOq1G3QwRBEARBEG0MUhSImITvdkTWBIIgCIIgCKWhgmuEIphMpoher9bc7P07LsbiEyItq1iF5MQGyYkNkhMbJCc2SE5skJzYUFJOWq0WTqczcENGSFEgFGHQoEERvd6JU2bv3907Jkf02q0l0rKKVUhObJCc2CA5sUFyYoPkxAbJiQ0l5WQymWA2mwM3ZCS2lmIJ4jSNTb48wRmp8Sr2hCAIgiAIom1CigIRk6zeVuz9OyGODGMEQRAEQRBKQ4oCoQi5ubnIzc2NyLVWbT6KHQWnvNvmxpaIXFcpIimrWIbkxAbJiQ2SExskJzZITmyQnNhQUk5Kuh0BpCgQMcg36w/ztnt2TlWpJwRBEARBEG0XUhSImMNs5VsQxg/tpFJPCIIgCIIg2i7k3E3EHM02X9qvL5+9EPFGGsYEQRAEQRBKQxYFIqZwuVxosTm823EGKrZGEARBEAQRDkhRIGIKXkVmnRZarUbF3hAEQRAEQbRdSFEgYopDx2u9fxsNNHwJgiAIgiDCBTl3E4qQk5MT9Gf2H6lCvaUF4wZ3hE7HNulf+fsR79+xGpsQiqzaIyQnNkhObJCc2CA5sUFyYoPkxIaScjIajWhublbsfLE50yKijuzs7KDaF56oxUNv/A4AuOuqkZg1oQfT5ypqrN6/B/RID+qa0UKwsmqvkJzYIDmxQXJig+TEBsmJDZITG0rKyWAwtA1FYdWqVfjggw9QWFgInU6HUaNG4c4778Tw4cOZz7F9+3Zcf/31sscvvvhi/Otf/+LtO3r0KF5//XXk5uaitrYWOTk5uPrqq3H99ddDqyVXlkjx7nf7vH8v+XIXs6JQWdvo/Xv+xUMV7xdBEARBEAThRhVF4fXXX8eSJUuQmJiICRMmoL6+HuvXr8fvv/+ON998E1OnTmU6z4EDBwAAo0aNQrdu3UTHR48ezdvOz8/H9ddfD7PZjNGjR2PYsGHYsmULnn76aezevVukVBDsVFRUAGDXil2u0K7T1OLLeGSKj02DWLCyaq+QnNggObFBcmKD5MQGyYkNkhMbSsrJZrO1+hxcIj7T2rdvH5YsWYKuXbvis88+Q8eOHQEA69atw5133olHHnkEq1evRkJCQsBz5eXlAQDuv/9+jBkzxm9bl8uFBx54AGazGS+++CIuvfRSAEB1dTXmzp2LlStX4pxzzsGsWbNaeYftk+LiYgDsgzxOH5r1hpv1yBCjqVGDlVV7heTEBsmJDZITGyQnNkhObJCc2FBSTkq6HQEqZD1atmwZAODuu+/2KgkAMG3aNMyePRuVlZVYtWoV07kOHDgArVaLQYMGBWy7adMmFBQUYNy4cV4lAQAyMjLwxBNPAAA++uijIO6EaA3B1D9wuVwoLqtHdX0TX1FgDIAmCIIgCIIggifiFoWNGzdCo9FgxowZomMzZ/5/e3ceF1W5/wH8M8M+4A64iygOuIFoot5yQ81r6TXNtU3LUnMr9WfX0p8381ZWVNe1xbSfWdmi2U1TK/clMgJzQUBFRdBQEAUZlhmY8/uD1xwZZwYe4MyCfN6vV68XnPPMM8/zYRrnO+c85wzGN998g0OHDuHRRx+tsB+9Xo/U1FS0a9cOGo1G6HlNz3G37t27o0mTJoiPj0d+fj78/PwEZ0PV5SVYKOQX6PH82/tw67Z5heymVvEeCkRERER25NCvZK9fv47c3Fw0bdoUDRo0sNjfrl07AMDZs2cr7evcuXMwGAxo2bIl3n//fQwbNgzh4eGIjo7GW2+9hby8PLP258+fBwBotVqr/QUHB8NoNCI1NbWq06JqED2isHbrSYsioezxPJpAREREZE8OPaJQ2WIN0/YbN25U2pdpIfPBgwcRFxeHnj17olmzZjh16hQ2bNiAffv2YfPmzWjcuDGAsiJF5Lmzs7OrMCNx+fn5iI+Pt9jepk0b+bmzsrLk89SsKb8OIykpCQUFBVbb+fv7Iyio7CpCOp0OycnJNvsMCwuDr68vACAtLc3m/DUajdkpXtbmYtouMqfcWzcttt09J0mS8HviVavPU1hcanMMSs8JsM/fKS0tzWl/J6D2vPaSkpLuuTnZ4+8UHx9/z80JUP7vFB8ff8/NCXDee3ltmhOg/N8pPj7+npsToPzfKT4+/p6bE6D838n0eHvMqbpqXCjMnz8fiYmJlbYbMmSIfDUjWwuVvby8AMBmIOWZFjJHRUVhxYoVckGQk5ODefPmITY2Fv/617+watUqAEBhYdllNb29va32Z9ou8txUc253nTZUWmq0aFNQbESxwfrlkepraudCZiIiIqLaQiVJ1b1QZZmJEyciISGh0najRo3CuHHjMHHiRERFRVldOCxJEsLCwuDm5iYfMbDFYDAgIyMDAQEBFmsKrl27hr///e8oLCzEoUOHEBgYiKFDh+LSpUvYt28fWrZsadHfwoULsW3bNrMrIikhJSVFXvcQGhqqWL+uxloVXJEPvzuJH49elH//ctkw1NN4mrW5llOAZ1//BQAQ0MgH77/YH4s+OIq0zNv4R792eG5kV4VG71hVzaquYk5imJMY5iSGOYlhTmKYkxglczL1pdTnzhofUdi8ebNwW9MhEVuXbjJtF1mc7OHhgeDgYKv7mjZtik6dOuGPP/7AmTNnEBgYKB/FKCoqsvoY03bToSaqmqq8uNP+yjMrEgCgoKjEolAoKi6Rf/b2dEcDPy+8P3cArt8sQAv/2vt34humGOYkhjmJYU5imJMY5iSGOYlRMic/Pz/k5+cr1p9DV4QGBgYCsL0OQMkbTvj7+wO4c8qRI5+bbJMkCbNi9ltsLyiyvEHItZt3TgPz8So71cjDXY2WAX5QqXjFIyIiIiJ7cmih0LhxYzRp0gSZmZlWqx3TFYdsXZmovGXLlmHmzJk2Fz5nZGQAAJo1awYA6NChA4A7Vz8qT5IkXLhwAW5ubmjfvr3YZKhaCopKhLd/8v1p+WeNl4fdxkRERERElhx+jcm+ffuitLQU+/dbfqu8Z88eAJAXPVfk+PHj2LNnD/bt22ex7+zZs0hKSkLDhg3RuXNn+XkBYO/evRbtExISkJOTgx49evAeCtWUlJQkLzCvyO0CvdXthcXmhUKeTo+/bujk3/t3t1xXUluJZlXXMScxzEkMcxLDnMQwJzHMSYySOSl9UR6HFwoTJ06ESqVCTEwM0tPT5e0HDhzAtm3bEBAQgOHDh5s9JjU1FampqfJpRAAwfvx4AMD7779vdu+DnJwcvPzyyygtLcWzzz4LT8+y896joqLQoUMHHD16FN98841Z+6VLlwIAnn76aeUnXEcUFBQIvTgvXs21/vi7Tj26dfvOWpKARj4YHBVUswG6ENGs6jrmJIY5iWFOYpiTGOYkhjmJUTIno9HyKpI14fA7M3fr1g1TpkzBJ598ghEjRqB3797Q6XSIi4uDu7s7YmJi5A/3Jg899BAA4LPPPkOvXr0AAGPHjsXRo0fx008/YeTIkbjvvvvg4+ODY8eOQafTYdiwYXjmmWfkPtRqNd544w1MmjQJ//u//4stW7YgMDAQv//+O3JzczFu3Dird4smZd195MBEV2heKOTp7hx5aFzf+iVtiYiIiMh+HF4oAMCCBQsQEhKCTZs2ITY2Fr6+vhgwYABmz54tnypUGbVajRUrVuDrr7/Gt99+i+PHj0OtViMkJATjxo3DmDFjLBa8hoeH49tvv8XKlStx7NgxnDt3DkFBQZg3bx7Gjh1rj6nSXYoN1ivdm3fdffmX3+/ciMS/ofX7bhARERGR/TilUADK7qswatQoobYpKSlWt6tUKkyYMAETJkwQft6QkBCsXLlSuD0pS28olX92U6tQaiy7jceN3DunGl3OzMO+P+6cljasd1uHjY+IiIiIyjh8jQLVbeULhWZN7twLISfvTqEQe/ov+eceYYGI0PKStURERESOxkKBHKq4XKHQvNxN027k3lmofvLcnXtd9O/eyjEDIyIiIiIzTjv1iO4tphvcVUZfbo1C+ULh+s1CXM8pgH9DH5zPuCVv7xzcRLExugrRrOo65iSGOYlhTmKYkxjmJIY5iVEyJ3d3d5SUWL9wTLX6U6wnqtOCgsQuX1r+1KPARhqoVYBRKrvq0ZTXf0Hj+t7yzdca+HkioNG9t5BZNKu6jjmJYU5imJMY5iSGOYlhTmKUzMnb29vqTY2ri6cekUOVLxR8vNzQsJ75pU/Lr1UIadXQ4spVREREROQYLBRIETqdDjqdrtJ25dcoeHq4oUkD2/dICG3TSJGxuRrRrOo65iSGOYlhTmKYkxjmJIY5iVEyp9LS0sobVQELBVJEcnIykpOTK22nv6tQaN20ntV2nds1wYi+7RQbnysRzaquY05imJMY5iSGOYlhTmKYkxglcyosLKy8URVwjQI5lL7kzmJmLw83BDWrb7b/n0/dhwciWjp6WERERER0Fx5RIIcyP6KgRtsW5oVCfV9PRw+JiIiIiKzgEQVyqLtPPWrf0vzUI42Xh6OHRERERERW8IgCOVT5+yh4ebjB18cDER3Krh/s6+2OVoF+zhoaEREREZXDIwrkUHdf9QgAXpzQHfvj0xHRIQDeXnxJEhEREbkCfiojhzI79ci9rFDwb+iDsYO0zhoSEREREVnBQoEUERYWJtTu7sXMdZFoVnUdcxLDnMQwJzHMSQxzEsOcxCiZk4+Pj6KXSGWhQIrw9fUVald81xqFukg0q7qOOYlhTmKYkxjmJIY5iWFOYpTMyc1N2c9WdfMrXXIKSZIsrnpERERERK6JhQIpIi0tDWlpaRW2MZS72Zq7mxpqtcrew3JJIlkRcxLFnMQwJzHMSQxzEsOcxCiZU1FRkSL9mLBQIEVkZ2cjOzu7wjbljyZ41dH1CYBYVsScRDEnMcxJDHMSw5zEMCcxSuZUUlKiSD8mdffTGjmctUujEhEREZFrYqFADlP+ZmssFIiIiIhcGwsFchguZCYiIiKqPVgokMMUc40CERERUa3BT2vkMGaFgidv4UFERETkyvhpjRSh0WgqbWN26pF73a1RRbIi5iSKOYlhTmKYkxjmJIY5iVEyJ7VaDaPRWHlDQSwUSBEdO3astE2xnmsUALGsiDmJYk5imJMY5iSGOYlhTmKUzEmj0SA/P1+x/uru17rkcAVFBvlnH2/WqERERESujIUCOczN28Xyzw39vJw4EiIiIiKqDAsFUkR8fDzi4+PNthlKjDh2+i9k3SwEANwqVyg0quft0PG5EmtZkSXmJIY5iWFOYpiTGOYkhjmJUTInJU87ArhGgexow/bT2HHkIuppPLFh8RDzQqE+jygQERERuTIeUSC72XHkIgDgdoEeB49nmJ161KgeCwUiIiIiV8YjCuQQq789YfZ7wzp86hERERFRbcAjCuQU9X09nT0EIiIiIqoACwVyCj8fD2cPgYiIiIgqwEKBnKIu33CNiIiIqDbgGgVSRJs2bcx+lyTJZlsfr7pdJNydFVnHnMQwJzHMSQxzEsOcxDAnMUrm5OXlheLi4sobCmKhQIoICAgw+/1aToHNtrPHRtp7OC7t7qzIOuYkhjmJYU5imJMY5iSGOYlRMicPDw9FCwWeekR2YTRaP6IwfogWfSNbOng0RERERFRVTjuisHPnTmzcuBHnz5+Hm5sbIiMjMXPmTISHhws9Pjo6GleuXKm03ZtvvonRo0cDAEpKShAZGQm9Xm+1bdOmTXHo0CHxSZAsKysLwJ2q2FBitGgzYUgoHv97mEPH5YruzoqsY05imJMY5iSGOYlhTmKYkxglczIYDDXuozynFAqrVq3C6tWr4evri969eyMvLw8HDx7EkSNHsHbtWvTv37/SPgYPHoycnByr+7KzsxEbGwsPDw906NBB3n7+/Hno9Xq0adMGERERFo9r2LBhtedU112+fBlA2YtckiQs+vCoRZsifYmjh+WSymdFtjEnMcxJDHMSw5zEMCcxzEmMkjkpedoR4IRC4fTp01i9ejVatmyJzZs3o2nTpgCAAwcOYObMmXjllVewZ88e+Pj4VNjPK6+8YnV7aWkpJk2aBABYtGgRunbtKu9LSkoCAIwePRrPP/+8EtMhK65m65Cbb3nUxsuzbi9iJiIiIqpNHL5G4dNPPwUAzJ49Wy4SAGDAgAEYPXo0srOzsXPnzmr3//HHHyMuLg7R0dGYOHGi2b4zZ84AADp37lzt/qly1hYy+/l4YHBPXv2AiIiIqLZweKFw+PBhqFQqREdHW+wbPHgwAFR7ncDVq1fx4YcfQqPR4NVXX7XYbzqi0KVLl2r1T2KybloWCusWDUGzJr5OGA0RERERVYdDC4Xr168jNzcXTZs2RYMGDSz2t2vXDgBw9uzZavUfExODoqIiTJ8+3exoBVB2Xf+kpCQEBARg7969GDNmDCIjI9G7d2/MmzcPFy5cqNZzkqWsW4Vmvy99rg/vxExERERUy6ikiu6MpbDExESMHj0aXbt2xZYtWyz2FxUVISIiAg0aNMDvv/9epb5TU1Px8MMPo0GDBti/fz80Go3Z/suXL2PIkCEAALVaje7du6NevXpISkpCZmYmfH19sW7dOvTo0aP6E7QiJSUF+fn5Nve3adNGXrySlZUlL2ixpvzYkpKSUFBg/V4F/v7+CAoKAgDodDokJyfb7DMsLAy+vmXf9KelpSE7O9tqO41Gg44dO8q/x8fH2+wz9rwRP/1+FQAwql8bRLSyvAKSSW2Z0734d+KcOCeAc+KcOCdbOCfOCai9c/Lz80NoaKjN5xBV48XM8+fPR2JiYqXthgwZIl/NyNZCZS8vLwCwGUhFNm7cCEmSMGnSJIsiAbizPqFp06b46KOP5D9sSUkJ3n33XWzYsAFz587FL7/8Io+Dqqe03D0UvDzUAGwXCkRERETkmmp8RGHixIlISEiotN2oUaMwbtw4TJw4EVFRUdi0aZNFG0mSEBYWBjc3N/mDvYi8vDz07dsXarUaBw8eRP369a32nZmZCbVabXFaktFoxJgxY5CYmIj33nsPDz/8sPBzV8Z0REGpyq42+GDrCez89RIAYPqornj4gXbOHRARERFRHaD0584aH1HYvHmzcFvTIRFb13g1bbd2RKAi+/fvR1FREYYPH261SAAAlUqF5s2bW92nVqvRv39/JCYm4vTp04oWCnVR+SMKajfe/JuIiIioNnLop7jAwEAAsHmuV3XvTLd3714AqNEHfH9/fwBl6ySoZkpK75xq5K5WOXEkRERERFRdDi0UGjdujCZNmiAzM9PqAt/U1FQAgFarFe7TaDTiyJEj0Gg0eOCBB2y2++KLL/Diiy/i119/tbo/IyMDANCsWTPh56Y7kpKS5MvPlj+i4MYjChbKZ0W2MScxzEkMcxLDnMQwJzHMSYySOVVnnW9FHP4prm/fvigtLcX+/fst9u3ZswcA5EXPIs6fPw+dTocuXbrA09PTZrv09HTs2rUL27Zts9hXXFyMn376CQAqLDbItoKCAvnFWVparlDgEQUL5bMi25iTGOYkhjmJYU5imJMY5iRGyZyMRmUvIOPwQmHixIlQqVSIiYlBenq6vP3AgQPYtm0bAgICMHz4cLPHpKamIjU1FYWFhXd3h9OnTwOo/CZqY8aMgZubG7Zv3y4XBQBgMBiwbNkyXLlyBf369eNdmxVgduoRjygQERER1Uo1XsxcVd26dcOUKVPwySefYMSIEejduzd0Oh3i4uLg7u6OmJgYiyMDDz30EADgs88+Q69evcz2mU4ZMq0xsCUkJAQLFy7EG2+8gTlz5qBr165o0aIFTpw4gczMTLRr1w7Lly9XcKZ106W/8hB3JlP+3c2NRxSIiIiIaiOHFwoAsGDBAoSEhGDTpk2IjY2Fr68vBgwYgNmzZ1f5G/2cnBwAsHm1o/KeeuopdOjQAZ988glOnjyJlJQUtGjRAtOnT8fUqVPlm2tQ9eTcLsHSd/ej/AV3WSYQERER1U5OKRSAsvsqjBo1SqhtSkqKzX2vvvoqXn31VeHn7dOnD/r06SPcnsT9fPwW7r4rh97Am60RERER1UY8gZwUU2ywvHdfj46BThgJEREREdWU044o0L3F398fbu43Ady5mZ6Xpxs03h7OG5SLqmw9DZVhTmKYkxjmJIY5iWFOYpiTGCVzcnd3R0lJiXL9KdYT1WlBQUHw9LwMQCdva+Br+3K1dVlQUJCzh1ArMCcxzEkMcxLDnMQwJzHMSYySOXl7e1u9V1l18dQjUkz5G60BgJcn61AiIiKi2oqFAilCp9PBYCg12+bt6eak0bg2nU4HnU5XecM6jjmJYU5imJMY5iSGOYlhTmKUzKm0tLTyRlXAQoEUkZycjIK7bojXuL63k0bj2pKTk5GcnOzsYbg85iSGOYlhTmKYkxjmJIY5iVEyJ2s3J64JFgqkmLvOPEKTBiwUiIiIiGorFgqkGONdlYKvD694RERERFRbsVAgxdx9F4X6vOoRERERUa3FQoEU4+2hMvu9VWA9J42EiIiIiGqKhQIp5u41Cu1aNnDOQIiIiIioxlgokGLyC43yz+MHa3nVIyIiIqJajHfEIkWEhYVBX3JV/n30wBAnjsa1hYWFOXsItQJzEsOcxDAnMcxJDHMSw5zEKJmTj4+PopdIZaFAivD08kGxoeyIgloF+HjxpWWLr6+vs4dQKzAnMcxJDHMSw5zEMCcxzEmMkjm5uSl7s1ueekSKKCgyyD/7+nhApVJV0JqIiIiIXB0LBVLE2dQ0+Wc/H14WtSJpaWlIS0urvGEdx5zEMCcxzEkMcxLDnMQwJzFK5lRUVKRIPyYsFEgRVzNvyD/7+vC0o4pkZ2cjOzvb2cNwecxJDHMSw5zEMCcxzEkMcxKjZE4lJSWK9GPCQoEUUWS4c8Uj3pGZiIiIqPZjoUCKKNLfKRR46hERERFR7cdCgRRRvlDgEQUiIiKi2o+FAimCpx4RERER3VtYKJAiivSS/LMfCwUiIiKiWo+Xp6mFcvOLse3AeWTeKHD2UGTJGXcux8UjChXTaDTOHkKtwJzEMCcxzEkMcxLDnMQwJzFK5qRWq2E0GitvKEglSZJUeTOqrpSUFOTn58PPzw+hoaGK9LlheyK2HTivSF/2MP/xHhjQvZWzh0FERERUpyj9uZOnHtVCzZq4boXu6eGGiA7+zh4GEREREdUQTz2qhR76WzC0rRshM0fn7KGYUUGFTu0ao1E9b2cPhYiIiIhqiIVCLRXSuiFCWjd09jBk8fHxAIBG9Vo4eSSuz5RVjx49nDwS18acxDAnMcxJDHMSw5zEMCcxSuaUn59f4z7K46lHRERERERkgYUCERERERFZYKFAREREREQWWCgQEREREZEFFgpERERERGSBhQIREREREVng5VFJEW3atHH2EGoNZiWGOYlhTmKYkxjmJIY5iWFOYpTMycvLC8XFxYr1x0KBFBEQEODsIdQazEoMcxLDnMQwJzHMSQxzEsOcxCiZk4eHh6KFAk89IiIiIiIiCywUSBFZWVnIyspy9jBqBWYlhjmJYU5imJMY5iSGOYlhTmKUzMlgMCjSjwlPPSJFXL58GQAPM4pgVmKYkxjmJIY5iWFOYpiTGOYkRsmclDztCOARBSIiIiIisoKFAhERERERWWChQEREREREFlgoEBERERGRBRYKRERERERkQSVJkuTsQdzLTp48CYPBALVaDY1G4+zh2E1+fj4AwM/Pz8kjcX3MSgxzEsOcxDAnMcxJDHMSw5zEKJmTqS8PDw+Eh4fXuD8WCnZ2/PhxGI1GZw+DiIiIiOoItVqNyMjIGvfD+yjYmZeXF4qLi+Hm5gYvLy9nD4eIiIiI7lHFxcUoLS1V7DMnjygQEREREZEFLmYmIiIiIiILLBSIiIiIiMgCCwUiIiIiIrLAQoGIiIiIiCywUCAiIiIiIgssFIiIiIiIyAILBSIiIiIissBCgYiIiIiILLBQICIiIiIiCywUiIiIiIjIAgsFIiIiIiKywEKBiIiIiIgssFAgIiIiIiILLBSIiIiIiMgCCwUiIiIiIrLAQoGIiIiIiCywUKijSktL8fnnn+PRRx9FZGQkwsPD8fDDD2PNmjUoLi62aH/q1ClMnz4d999/PyIjIzF27Fhs377dZv8XL17EvHnz0L9/f0RERGDEiBHYtGkTjEaj0PiWLFmC0NBQfPfdd9WeoxJcLSeDwYBPP/0UI0eOREREBLp3745Jkybh6NGjis25Olwtp9TUVMydOxd9+vRB586d0a9fPyxevBh//fWXYnOuDnvnVN6FCxcQHh6OtWvX2myTl5eHd955B0OHDkV4eDiio6OxfPly5OfnV3uOSnC1nM6fP48FCxagX79+6NKlC3r37o0ZM2bgzz//rO4UFeFqOd3t448/RmhoKFatWiX8GHtwtZwkScLWrVsxfvx4REZGIiIiAuPHj8fOnTurPUcluFpOmZmZWLRokfz/3f3334+5c+fi/Pnz1Z6jUuyd1cGDBzFlyhRERUWhS5cuGDhwIJYsWYLMzEyr7a9du4YlS5Zg0KBBCA8Px9ChQ7FmzRro9foaz1UlSZJU416oViktLcWMGTNw4MABaDQaREREwN3dHSdOnEBeXh4iIiKwceNG+Pj4AACOHj2KadOmwWg0omfPnvDx8UFsbCyKioowffp0zJ0716z/5ORkPP7448jPz0f37t3RpEkTHDt2DHl5eRgxYgRiYmIqHN/BgwcxdepUAMCbb76J0aNH2yeISrhaTnq9HlOnTkVsbCwaNmyIHj16IDs7GydOnIBKpcLq1asxePBgh+Vj4mo5nTx5EpMmTUJBQQG0Wi2CgoKQkpKCy5cvo1GjRti8eTOCg4Mdlo+JvXMqLycnB0888QRSU1PxwgsvYMaMGRZt8vPz8dhjjyElJQXBwcHQarVITExERkYGQkJC8NVXX6FevXp2y8MWV8vp2LFjeO6551BcXIz27dsjODgYGRkZSE5Ohru7O9555x089NBDdsvDFlfL6W7JyckYM2YMDAYDZs2ahdmzZys296pwtZwkScJLL72EH374ARqNBr169YJOp0N8fDxKS0uxePFiPPnkk3bLwxZXyyk9PR0TJkxAdnY2goKCoNVqkZaWhrNnz8Lb2xsbNmxAjx497JZHReyd1ccff4x3330XarUa4eHhaNKkCZKSknD16lU0btwYn3/+Odq3by+3z8zMxPjx45GZmYlOnTqhdevWSEhIQFZWFqKiorBhwwZ4eHhUf8IS1TmbN2+WtFqtNGLECCkzM1PefuPGDWn8+PGSVquVYmJiJEmSpMLCQqlPnz5S586dpdjYWLltWlqa1K9fP0mr1UqnTp2StxuNRmnEiBGSVquVvv/+e7O+Tdt3795tc2w3b96U7r//fkmr1UparVbaunWrklOvElfLacWKFZJWq5WeeOIJ6fbt2/L2nTt3SqGhoVJUVJRkMBgUz6EyrpbTqFGjJK1WK3366afytpKSEmnJkiWSVquVpk2bpnQEQuyZU3kpKSnSgw8+KP8/tGbNGqvtli1bJmm1Wmnx4sVSaWmpJEmSZDAYpAULFkharVZ67bXXlJp6lbhSTnq9XhowYICk1WqlTZs2me3773//K4WGhkqRkZHSjRs3lJh6lbhSTncrLi6Whg8fLj9m5cqVNZxt9blaTlu2bJG0Wq00fPhw6dq1a/L2uLg4qUuXLlKnTp2k7OxsJaZeJa6W0+zZsyWtViu98cYb8vuTJEnSBx98IOfnLPbM6ty5c1JYWJjUrVs3KSEhQd6u1+ulV199VdJqtdK4cePMxjNt2jSLLHU6nTR58mRJq9VK69evr9F8WSjUQePGjZO0Wq3Zi9YkKSlJ0mq10sCBAyVJkqSvvvpK0mq10sKFCy3a/vDDD5JWq5Veeukledvhw4flD7N3i4+Pl7RarfT444/bHNuLL74ode7cWRo7dqzTCwVXyqmwsFDq1q2bdN9991n9UDJjxgwpOjpaSkpKqtZca8KVcrp586ak1WqlqKgoi/Y3btyQtFqt1L1792rNs6bsmZMkSVJBQYG0atUqKSIiQtJqtVJ0dLTNf4hzc3Ol8PBwqXv37mZFpyRJUn5+vtSzZ08pPDxc0ul0NZlytbhSTocOHarwPWvGjBmSVquVvvvuu+pMtUZcKae7vf3225JWq5Uee+wxpxcKrpbT4MGDpU6dOknnz5+32Lds2TJp4MCB0oEDB6oz1RpxtZwiIyMlrVZr8f5UWloq77t161Z1p1sj9swqJiZG0mq10ooVKyza6/V6qXfv3pJWq5UyMjIkSZKk1NRUKTQ0VBo8eLBZQSVJknTlyhWpY8eO8liqi2sU6qBGjRqhXbt2CA8Pt9jXtm1bAMD169cBAIcPHwYADBo0yKLtwIED4ebmhkOHDsnbTO2tnQJjOm0kPj7e6jnQO3bswM6dOzFr1ix06NCh6hNTmCvldOTIERQUFGDkyJFo3LixxWPWrFmDvXv3IiwsrIqzrDlXykmtLntL0+l0uH37tln7mzdvAgAaNGhQpfkpxZ45AcCuXbuwatUq+Pn5YfXq1XjkkUdsjiUuLg5FRUXo3bs3/Pz8zPb5+vqiT58+KCoqQlxcXFWmqAhXyqmoqAhdunTBAw88YHX/3eNxJFfKqbz4+Hhs2LAB48aNw/3331+FGdmHK+WUlJSEy5cvo2/fvmanjpgsXrwY+/btQ//+/UWnpxhXygm4815+7do1s+06nQ56vR4eHh7QaDRCc1OaPbPy8PBAaGgoevbsadHew8MDrVq1Muv/yJEjkCQJAwcOlDMzadGiBTp16oQrV67UaF2He7UfSbXWhx9+aHPfqVOnAADNmjUDAJw7dw4AoNVqLdr6+fkhMDAQf/31F7Kzs+Hv7y+/GK21B4Dg4GDcuHEDqampiIiIkLdfu3YNr732GiIiIvDcc89hyZIl1Zucglwpp8TERABA165dodfr8fPPPyMhIQGlpaXo3r07HnrooZqdg1gDrpRT/fr10a1bN/z555+YPXs2XnnlFbRp0wZnz56VX1NTpkyp/mRrwJ45AUDDhg0xe/ZsPP300/D19UVycrLN5zPlaqsgb9euHQAgJSXF4R9aXCmnIUOGYMiQIZWOp2nTppXMSnmulJNJQUEBFi5ciObNm2PhwoXYuHFjleelNFfKyfQ+Hh4eDqPRiP379+O3335DcXExOnbsiJEjRzrtw68r5QQA/fr1w48//oj58+dj6dKlCA0NRXp6Ol5//XUYDAY888wz9+S/eXPmzMGcOXOs9l1QUCC/d5v6F3kvP3XqFM6ePYuQkBCR6VlgoUAySZKwYsUKAMCDDz4IAMjKygIABAQEWH1MQECA2YvcVOVW1B4AsrOzzbYvWrQIxcXFWL58Odzc3Go+GTtyRk6XL1+Wn/vRRx/F2bNn5bZfffUVNmzYgHXr1iEwMLCm01OMs15P77zzDqZNm4bY2FiMGDFC3u7r64t3330Xw4cPr+HMlKVETgAQHR2N6OhooecU6R8Abty4ITgL+3NGThWJjY3FsWPH4O3tjX79+tW4P6U4M6fly5cjPT0dGzduhK+vb3Wn4BDOyMn0Pq7RaDBp0iT8/vvvZvvXrVuHdevWWT3a4CzOej0tXrwYV69exfHjxzFu3Dh5u4eHB1555RU89dRT1ZqPPSmVlS3r1q1DQUEBunbtiubNmwO4c2TB1r/9tj5zVQVPPSLZe++9h7i4OPj7++PZZ58FABQWFgIAvL29rT7GtL2goKBa7QHgyy+/xOHDhzF37lz5m0xX5oycTKfRvP766ygqKsL69esRHx+P77//HlFRUUhOTsacOXMgudBFzJz1egoMDMSoUaPkQ7jR0dFo1aoVdDodNmzYgIyMDAVmpxwlcqoq0+NMV+VQun97cEZOtmRkZGDBggUAgKlTp1o9HdBZnJXTwYMH8fXXX+PJJ59Er169qt2PozgjJ9P7+Jo1a5Camor//Oc/iIuLw65duzBs2DBcuXIF06ZNQ1FRUbX6twdnvZ4aNGiARx55BPXq1UPbtm0xaNAgtG/fHgaDAV9++aV8dMaV2DOrgwcP4qOPPoJarZbfe5TsvyI8okAAgBUrVuDjjz+Gp6cn/vOf/8j/8Lm5uUGSJKhUqgofb7qevelogGj7tLQ0vPPOO+jZsycmTZpU02nYnbNyMl0Lubi4GBs2bEDr1q0BAB07dsS6deswbNgwHD9+HL/++qtLnBfszJyefvppnDhxAjExMfJlK41GI1avXo01a9bgmWeewY4dO+Dp6VmjOSpBqZyqqqq5OpuzcrLm8uXLmDx5MrKysjBgwAA8//zzivVdU87K6datW1i0aBHatm2L+fPnV6sPR3JWTqb38du3b+PLL79E9+7dAQD169fH+++/jytXruDkyZP44YcfzL5FdxZn/n83b9487N69GwsXLsTTTz8tb//mm2+wZMkSTJkyBbt27XKZIt2eWR04cABz5sxBaWkp5s+fb1aIO+K9nEcU6riSkhIsWbIEa9euhZeXF1avXm22iMbHxweSJFm9gQgA+ZsP02Fm0zeUtr4RKd++tLQU//znPwGU3S+hshe6MzkzJ+DOtwJ9+/aViwQTb29v/OMf/wBQds13Z3J2Tlu3bkVCQgLGjx9vdm17tVqNOXPmoHfv3khLS3P6jY2UzqmqRHN11vnSJs7O6W4nT57ExIkTceXKFTzwwANYuXKlxQJCZ3B2TkuXLkVOTg7eeustm99sugJn52T6/y4sLEwuEkxUKpVcHNxr7+NVdejQIezevRv9+/c3KxIAYNy4cRg1ahRu3bqFzZs3V6t/Jdk7qy1btmDmzJkoLi7GrFmz5HtMle+/fD+2+q/JezmPKNRhOp0OL7zwAg4fPoz69etj7dq1FivtAwMDkZeXh6ysLHm1fXl3n38XGBiIpKQkZGdnWz3Psnz7X375BcePH0fr1q3l8/pMTpw4AaDs24Nff/0VDz74oHzOn6M5OycA8rcTLVu2tDpG03bTlX2cwRVyMp3za+uoSr9+/fDbb78hKSlJ+CouSrNHTlVlOp/V1nmrNe1fCa6QU3l79+7F/PnzUVhYiIceeghvvfWWSxyVcnZOp06dws6dO+Hv74/PP/8cn3/+ubzPtJDz559/RlpaGnr27Inx48dX+TmU4OycgLKr5QC238dbtGgB4N57H68q0/v43/72N6v7+/fvj++++w5JSUnV6l8p9s7q/fffx4cffgiVSoWXX34ZkydPtmgj+l5ek/WLzv8qhJwiNzcXTz75JA4fPozmzZvjiy++sHo5LtNK+tTUVIt9+fn5uH79Oho3biwvwjG1t3YpLkmScOHCBbi5uaF9+/byOXPp6enYvn272X+mRV/Hjx/H9u3bkZKSoszEq8gVcgLuXDHB1mUYTW8GzjoM6yo55eXlAYDNBfGm7QaDoapTVIS9cqqqinIt/7yhoaHV6r+mXCUnk61bt2L27NkoLCzE008/jffee88ligRXyMn0Pp6dnW3xPm66ss3Zs2exfft2HD9+vMr9K8EVcgLu/P9U197Hq8r0Pu7ubv27bNN2Z72PA/bNSpIkLFq0CB9++CE8PT3x3nvvWS0Syvdf2Xu5rSsHimChUAfp9XpMnToViYmJCAkJwVdffWXzRdS3b18AwJ49eyz27du3D6WlpWaXTzS137t3r0X7hIQE5OTkoEePHvDz88Po0aORkpJi9b8xY8YAKDslKSUlBbNnz67xvKvKVXICIF9V5ejRoxb3BwDKrqUMAPfdd19VpqgIV8rJtBj+4MGDVp//119/BQCn3G/CnjlVVc+ePeHt7Y3Y2FiLRW46nQ6xsbHQaDTo0aNHtZ+julwpJ1PfixcvhtFoxMKFC7Fw4UKXOE3SVXLq1auXzffxF154AQAwa9YspKSkYPny5dV6jppwlZyAsqw8PT1x+vRppKenW+w3XXP/Xnsfr6rK3sePHj0KwDnv44D9s1q+fDm2bNkCPz8/rF+/3uw0Wlv979+/32IdwtWrV5GUlISWLVtW+9KoAAuFOmnlypX4888/0bx5c2zatEm+Hq81Q4cORZMmTbBt2zaz/2nT09Px7rvvQqVSmVW6UVFR6NChA44ePYpvvvlG3p6Tk4OlS5cCgMU5h67KlXJq164dBgwYgLy8PCxcuNDsfMRPPvkECQkJaN++vc1DtfbkSjmNGTMGarUa3377LX755Rez5/70009x8OBBNG7cuMI3XnuxZ05VpdFo8MgjjyA3NxdLly5FSUkJgLLzbV977TXk5eVh/PjxFjdjcwRXyikrKwsvv/wyjEYj5s2b51LvXa6UkytzpZzq1auHsWPHwmg0YsGCBbh165a8b+fOnfjxxx/5/gRgxIgR0Gg0OHToEDZt2mS2b+fOnfj666/h5eWFsWPHVvs5asKeWR06dAj/93//B3d3d3z00UeIioqqcCytW7dG3759ceHCBbNTuAsKCrB48WKUlpbW+H1LJbnS9RTJ7m7evIkBAwagqKgInTt3rvBypDExMQDKvs01rbjv2bMnfH198dtvv6GwsBBz587F9OnTzR538uRJTJo0CQUFBYiIiEBgYCB+//135ObmYty4cVi2bFml41y0aBG2bNmCN998E6NHj67ZpKvBFXO6fv06nnrqKVy8eBH+/v7o1q0b0tLScO7cOTRo0AAbNmxAly5dlA+jAq6Y0xdffIF///vfMBqN6NixI1q1aoVz587h0qVL0Gg0Qm++SnNETndbtWoVVq9ejRdeeAEzZsyw2H/r1i1MmDABFy9eROvWrdGpUyecOXMG6enp6Ny5MzZt2uTwa+G7Wk5vv/021q9fDw8PDwwdOtTmkQRHr6FytZxsWbt2LVasWIFZs2Y55aiwK+ak0+nw7LPPIiEhAfXq1UPPnj2RlZWFU6dOwcvLC6tWrXL4TQ5dMac9e/Zg7ty50Ov1CA4ORocOHZCWloaUlBR4eHjgrbfewsMPP1yziVeDvbMaM2YMTp06haZNm1b479Tzzz8vn3Kbnp6OiRMnIisrC1qtFsHBwUhISEBWVhb69euHDz74wOZpXCK4mLmOiYuLk7+NTkxMrPBaxKYX+aBBg7Bp0yasWbMGJ06cgCRJCA0NxeTJkzFs2DCLx4WHh+Pbb7/FypUrcezYMZw7dw5BQUGYN2+e074BqCpXzCkwMBBbtmzBunXrsHv3bhw6dAgNGjTAyJEjMXPmTAQFBSk0e3GumNPjjz+OsLAwrF+/HgkJCTh37hwaN26MUaNGYfr06Wjbtq0yk68CR+RUVQ0bNsRXX32F1atXY8+ePdi/fz+aN2+OZ599FtOnT3fKDbNcLSfTqSAGgwE7duyw2S4oKMihhYKr5eSqXDEnX19fbNy4EZ999hn++9//4ujRo/D19cWQIUPw/PPPo3PnzjV+jqpyxZwGDx4s/3v322+/Yf/+/ahfvz6GDh2KqVOnOvxLMRN7ZnXr1i35zs7Xrl3D9u3bbfY9duxYuVBo3bq1/G/koUOHkJaWhtatW+Opp57CpEmTalQkADyiQEREREREVnCNAhERERERWWChQEREREREFlgoEBERERGRBRYKRERERERkgYUCERERERFZYKFAREREREQWWCgQEREREZEFFgpERERERGSBhQIREREREVlgoUBERERERBZYKBARERERkQV3Zw+AiIhqp4yMDAwaNMjqPg8PD2g0GrRq1Qp9+/bFhAkT0Lx5c0WfPzU1Fe3bt1e0TyIiukMlSZLk7EEQEVHtU75Q6NKlCzw9PeV9BoMBOTk5uHr1KiRJgq+vL9544w38/e9/r/HzZmVl4fXXX0d6ejq2bt1a4/6IiMg6HlEgIqIaW7FiBVq1amWxPTMzE2+//TZ+/PFH/M///A8aNGiAPn361Oi5Dh8+jF27dqFz58416oeIiCrGNQpERGQ3zZo1w7vvvouhQ4fCYDBg0aJFMBgMzh4WEREJYKFARER2pVKp8K9//QteXl64cuUKduzY4ewhERGRAJ56REREdtekSRMMHDgQu3fvxv79+zFq1Ch5X3p6Oj777DP89ttvuHLlCvR6PRo2bIiIiAg8+eST6N27t9w2OjoaV65cAQAkJiYiNDQULVu2xL59++Q2er0eX375JbZv344LFy5AkiQEBwdj+PDheOKJJ+Dl5eW4iRMR1WIsFIiIyCEiIyOxe/du/PHHH/K2I0eOYObMmSgqKkK9evXQpk0bFBcXIz09HXv27MHevXsRExOD4cOHAyhbNO3h4YFLly5Bo9EgLCwMAQEBcn+3bt3Cc889h5MnT0KtVqN169bw9vZGSkoKzpw5gx9//BHr169Ho0aNHD5/IqLahqceERGRQ7Rs2RIAcOPGDRgMBuj1erz88ssoKirC5MmT8euvv+L777/Hrl27cODAAfztb3+DJElYu3at3MfKlSsxbdo0AEBwcDA2b96MlStXyvsXLlyIkydPIjIyEj/99BN+/vln/PDDD9i7dy/uu+8+JCYmYtGiRY6dOBFRLcVCgYiIHMLX11f+OTc3F6dPn0ZBQQGaNm2Kl156yezyqv7+/pg5cyYA4OLFizAajZX2f+rUKezfvx+NGjXC2rVr0aZNG3lf8+bNsXLlSmg0GuzduxfJyckKzoyI6N7EQoGIiByi/NWOVCoVunfvjvj4ePz8889wc3OzaO/j4wMAMBqNKC4urrT/vXv3AgD69OmDxo0bW+xv0qSJfGnWQ4cOVWsORER1CdcoEBGRQ+Tn58s/16tXT/7Z29sbiYmJOHPmDC5fvozLly/j7NmzuHjxotxG5IhCamoqAOCPP/7AxIkTrbbJyMgAALO+iYjIOhYKRETkEBcuXAAAtGrVSj7NKC4uDm+++SYSExPldiqVCkFBQRgxYgR++OEH4f5Nhcj169dx/fr1Ctvevn27qsMnIqpzWCgQEZFDHD9+HADQrVs3AMDZs2fxzDPPQK/X47777sPIkSMRGhqK9u3bw8/PDxcvXqxSoWA6Vemll17ClClTFB8/EVFdw0KBiIjs7urVq4iNjQUADBs2DACwadMm6PV69OnTB+vXr7dYp5CZmVml5wgKCgJw58iFNWfOnIFKpULr1q3h5+dXpf6JiOoaLmYmIiK7+/e//w2j0YiQkBAMHDgQAOQbp4WGhlpdzLxlyxb559LSUvlntdr6P10DBgwAAPz888/Iycmx2H/79m1MnjwZjzzyCHbt2lXtuRAR1RUsFIiIyG4uXbqEOXPmYO/evfDw8MCyZcvkoqBt27YAgJ07dyItLU1+TG5uLt544w3s2LFD3lb+qkcajQZA2VoEvV4vb+/Vqxd69uyJvLw8TJs2zazPa9euYcaMGcjNzUVAQABGjBhhl/kSEd1LVJIkSc4eBBER1T4ZGRkYNGgQgLI7Jpe/D0JxcTGuX7+OrKwsAICfnx/eeecdREdHy23S09MxevRo5OXlwd3dHcHBwVCpVLh06RL0ej3CwsKQmZmJW7du4bvvvkPnzp0BlF2xaNiwYZAkCS1atECzZs2wefNmAGUFwZQpU3Du3DmoVCqEhIRArVbjwoULMBgM8PPzw+eff46OHTs6KiYiolqLhQIREVVL+ULhbu7u7qhXrx7atWuHvn37Yvz48VbvbXD16lWsXLkSf/zxBzIzM+Ht7Y3g4GA8/PDDeOyxx7Bw4UL8+OOPmD17NmbNmiU/bsuWLfjoo4/w119/oWHDhvj+++/h7+8PACgsLMQXX3yBXbt2yQVCYGAgHnjgAUydOhWtWrWyTyBERPcYFgpERERERGSBaxSIiIiIiMgCCwUiIiIiIrLAQoGIiIiIiCywUCAiIiIiIgssFIiIiIiIyAILBSIiIiIissBCgYiIiIiILLBQICIiIiIiCywUiIiIiIjIAgsFIiIiIiKywEKBiIiIiIgssFAgIiIiIiILLBSIiIiIiMgCCwUiIiIiIrLAQoGIiIiIiCywUCAiIiIiIgssFIiIiIiIyAILBSIiIiIisvD/RXqDR36Q7KEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 277,
       "width": 389
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lake_Bilancino[\"balance_m³\"].plot(); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "id": "EmkOuWNFYnkn",
    "outputId": "bd45109a-90cf-4c54-de38-c4fcaf2e625b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1512x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 332,
       "width": 1226
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1,  figsize=(21, 5)) \n",
    "sns.lineplot(x=\"Date\", y=Lake_Bilancino[\"R_NO_3_m³\"], data=Lake_Bilancino.loc[\"2012-01-01\":\"2014-01-01\"], ax=ax  ) \n",
    "sns.lineplot(x=\"Date\", y=Lake_Bilancino[\"balance_m³\"], data=Lake_Bilancino.loc[\"2012-01-01\":\"2014-01-01\"], ax=ax )\n",
    "sns.lineplot(x=\"Date\", y=Lake_Bilancino.Flow_Rdaycumul, data=Lake_Bilancino.loc[\"2012-01-01\":\"2014-01-01\"], ax=ax ) ; "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "igIutge7Ynkn"
   },
   "source": [
    "Lake_Bilancino.loc[\"Nov 2013\"][\"Rainfall\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FVgU4CjCYnkq"
   },
   "source": [
    "### Antecendent moisture conditions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qjA5rt5oYnkq"
   },
   "source": [
    "Soil moisture conditions depend partly on the state of the vegetation. The dormant season for vegetation is the time when the value of the month  is 11,12,1,2,3 or the first weeks of April. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "id": "XWr8DtsAYnkq"
   },
   "outputs": [],
   "source": [
    "#rng = pd.date_range(start=\"2004-04-01\", end=\"2004-04-15\", freq='D') \n",
    "Lake_Bilancino[\"Dormant\"]= np.where( Lake_Bilancino.index.month.isin([11,12,1,2,3])| (Lake_Bilancino.index.isocalendar().week.isin([15,14,16]) ),1,0 ) #|add [\"1 Apr\":\"15 Apr\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "id": "RAf9t-ZRYnkq",
    "outputId": "9c32ccff-8a9c-4bb4-ca12-1ceea9f3a387"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    6603.00\n",
       "mean        0.47\n",
       "std         0.50\n",
       "min         0.00\n",
       "25%         0.00\n",
       "50%         0.00\n",
       "75%         1.00\n",
       "max         1.00\n",
       "Name: Dormant, dtype: float64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino[\"Dormant\"].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an old method splitting up moisture condition into wet, average and dry. Now I use only 1 Column with 3 values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pnuY8XgLYnkr"
   },
   "source": [
    "Lake_Bilancino[\"Wet_Si\"]= np.where(((Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)>(53.3/3)) & (Lake_Bilancino[\"Dormant\"]==0)), 1,0 ) #area correction= 3 pluviometer out of 5\n",
    "Lake_Bilancino[\"Wet_Si\"]= np.where(((Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)>(27.9/3)) & (Lake_Bilancino[\"Dormant\"]==1)), 1,0 ) \n",
    "\n",
    "Lake_Bilancino[\"Medium_Si\"]= np.where((Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)>35.6/3 ) & \n",
    "                                      (Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)<53.3/3 ) & (Lake_Bilancino[\"Dormant\"]==0), 1, 0)\n",
    "Lake_Bilancino[\"Medium_Si\"]= np.where((Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)>12.7/3 ) & \n",
    "                                      (Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)<27.9/3 ) & (Lake_Bilancino[\"Dormant\"]==1), 1, 0) \n",
    "Lake_Bilancino[\"Dry_Si\"]= np.where((Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)<35.6/3 ) & ( Lake_Bilancino[\"Dormant\"]==0), 1, 0) \n",
    "Lake_Bilancino[\"Dry_Si\"]= np.where((Lake_Bilancino[\"Rainfall\"].rolling(5).sum().fillna(method='bfill', limit=5)<12.7/3 ) & ( Lake_Bilancino[\"Dormant\"]==1), 1, 0) "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Lake_Bilancino= Lake_Bilancino.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "id": "iGX_ddJ3Ynj3",
    "outputId": "015554d0-5133-4b28-b830-81e9279503d4"
   },
   "outputs": [],
   "source": [
    "pd.set_option('mode.chained_assignment',None)\n",
    "#Lake_Bilancino= dfW\n",
    "dfW= Lake_Bilancino\n",
    "Lake_Bilancino[\"Rainfall_5\"] =Lake_Bilancino[\"RainNO_3\"].rolling(5).sum().fillna(0, )#method=\"bfill\"\n",
    "#Rainfall_5"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Lake_Bilancino= dfW"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Temperature_Le_Croci</th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>FreRain</th>\n",
       "      <th>StoRain</th>\n",
       "      <th>Lev_1</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>Peil</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>isDry</th>\n",
       "      <th>R_m³</th>\n",
       "      <th>R_NO_3_m³</th>\n",
       "      <th>R_NO_2_m³</th>\n",
       "      <th>R_NO_2_m3cumul</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>Flow_Rdaycumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-06-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.50</td>\n",
       "      <td>250.85</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00e-02</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>6.18e+01</td>\n",
       "      <td>548.2</td>\n",
       "      <td>7.32</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.12e+07</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>1.02e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.40</td>\n",
       "      <td>250.84</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.00e-02</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>5.66e+01</td>\n",
       "      <td>548.2</td>\n",
       "      <td>7.31</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.12e+07</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>1.02e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.50</td>\n",
       "      <td>250.83</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.00e-02</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>2.20e+01</td>\n",
       "      <td>548.2</td>\n",
       "      <td>7.30</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.12e+07</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>1.02e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.20</td>\n",
       "      <td>250.82</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.00e-02</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>1.28e+01</td>\n",
       "      <td>546.6</td>\n",
       "      <td>7.29</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.12e+07</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>1.02e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.75</td>\n",
       "      <td>250.80</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.00e-02</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>492.2</td>\n",
       "      <td>7.27</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.12e+07</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>1.02e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_S_Piero  Rainfall_Mangona  Rainfall_S_Agata  \\\n",
       "Date                                                               \n",
       "2020-06-26               0.0               0.0               0.0   \n",
       "2020-06-27               0.0               0.0               0.0   \n",
       "2020-06-28               0.0               0.0               0.0   \n",
       "2020-06-29               0.0               0.0               0.0   \n",
       "2020-06-30               0.0               0.0               0.0   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Temperature_Le_Croci  \\\n",
       "Date                                                                      \n",
       "2020-06-26                 0.0                0.0                 22.50   \n",
       "2020-06-27                 0.0                0.0                 23.40   \n",
       "2020-06-28                 0.0                0.0                 21.50   \n",
       "2020-06-29                 0.0                0.0                 23.20   \n",
       "2020-06-30                 0.0                0.0                 22.75   \n",
       "\n",
       "            Lake_Level  Flow_Rate  Rainfall  RainNO_2  RainNO_3  month  week  \\\n",
       "Date                                                                           \n",
       "2020-06-26      250.85        0.6       0.0       0.0       0.0      6    26   \n",
       "2020-06-27      250.84        0.6       0.0       0.0       0.0      6    26   \n",
       "2020-06-28      250.83        0.6       0.0       0.0       0.0      6    26   \n",
       "2020-06-29      250.82        0.6       0.0       0.0       0.0      6    27   \n",
       "2020-06-30      250.80        0.6       0.0       0.0       0.0      6    27   \n",
       "\n",
       "            year  FreRain  StoRain     Lev_1    Rain_3    Rain_7   Rain_14  \\\n",
       "Date                                                                         \n",
       "2020-06-26  2020      0.0      NaN  1.00e-02  1.71e-13 -1.71e-13  6.18e+01   \n",
       "2020-06-27  2020      0.0      NaN -2.00e-02  1.71e-13 -1.71e-13  5.66e+01   \n",
       "2020-06-28  2020      0.0      NaN -1.00e-02  1.71e-13 -1.71e-13  2.20e+01   \n",
       "2020-06-29  2020      0.0      NaN -1.00e-02  1.71e-13 -1.71e-13  1.28e+01   \n",
       "2020-06-30  2020      0.0      NaN -1.00e-02  1.71e-13 -1.71e-13  1.42e-13   \n",
       "\n",
       "            Rain_72  Peil  Flow_Rday  isDry  R_m³  R_NO_3_m³  R_NO_2_m³  \\\n",
       "Date                                                                      \n",
       "2020-06-26    548.2  7.32    51840.0   19.0   0.0        0.0        0.0   \n",
       "2020-06-27    548.2  7.31    51840.0   19.0   0.0        0.0        0.0   \n",
       "2020-06-28    548.2  7.30    51840.0   19.0   0.0        0.0        0.0   \n",
       "2020-06-29    546.6  7.29    51840.0   19.0   0.0        0.0        0.0   \n",
       "2020-06-30    492.2  7.27    51840.0   19.0   0.0        0.0        0.0   \n",
       "\n",
       "            R_NO_2_m3cumul  R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  \\\n",
       "Date                                                                     \n",
       "2020-06-26        9.12e+07        1.39e+08        1.02e+08    3.68e+07   \n",
       "2020-06-27        9.12e+07        1.39e+08        1.02e+08    3.68e+07   \n",
       "2020-06-28        9.12e+07        1.39e+08        1.02e+08    3.68e+07   \n",
       "2020-06-29        9.12e+07        1.39e+08        1.02e+08    3.68e+07   \n",
       "2020-06-30        9.12e+07        1.39e+08        1.02e+08    3.68e+07   \n",
       "\n",
       "            Dormant  Rainfall_5  \n",
       "Date                             \n",
       "2020-06-26        0         0.0  \n",
       "2020-06-27        0         0.0  \n",
       "2020-06-28        0         0.0  \n",
       "2020-06-29        0         0.0  \n",
       "2020-06-30        0         0.0  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#dfW=dfW.drop(\"Rainfall_5\")\n",
    "#dfW.tail()\n",
    "Lake_Bilancino.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 6603 entries, 2002-06-03 to 2020-06-30\n",
      "Data columns (total 32 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   Rainfall_S_Piero      6026 non-null   float64\n",
      " 1   Rainfall_Mangona      6026 non-null   float64\n",
      " 2   Rainfall_S_Agata      6026 non-null   float64\n",
      " 3   Rainfall_Cavallina    6026 non-null   float64\n",
      " 4   Rainfall_Le_Croci     6026 non-null   float64\n",
      " 5   Temperature_Le_Croci  6026 non-null   float64\n",
      " 6   Lake_Level            6603 non-null   float64\n",
      " 7   Flow_Rate             6582 non-null   float64\n",
      " 8   Rainfall              6603 non-null   float64\n",
      " 9   RainNO_2              6603 non-null   float64\n",
      " 10  RainNO_3              6603 non-null   float64\n",
      " 11  month                 6603 non-null   int64  \n",
      " 12  week                  6603 non-null   UInt32 \n",
      " 13  year                  6603 non-null   int64  \n",
      " 14  FreRain               2782 non-null   float64\n",
      " 15  StoRain               3821 non-null   float64\n",
      " 16  Lev_1                 6602 non-null   float64\n",
      " 17  Rain_3                6603 non-null   float64\n",
      " 18  Rain_7                6603 non-null   float64\n",
      " 19  Rain_14               6603 non-null   float64\n",
      " 20  Rain_72               6603 non-null   float64\n",
      " 21  Peil                  6603 non-null   float64\n",
      " 22  Flow_Rday             6582 non-null   float64\n",
      " 23  isDry                 4290 non-null   float64\n",
      " 24  R_m³                  6603 non-null   float64\n",
      " 25  R_NO_3_m³             6603 non-null   float64\n",
      " 26  R_NO_2_m³             6603 non-null   float64\n",
      " 27  R_NO_2_m3cumul        6603 non-null   float64\n",
      " 28  R_NO_3_m3cumul        6603 non-null   float64\n",
      " 29  Flow_Rdaycumul        6387 non-null   float64\n",
      " 30  balance_m³            6387 non-null   float64\n",
      " 31  Dormant               6603 non-null   int32  \n",
      "dtypes: UInt32(1), float64(28), int32(1), int64(2)\n",
      "memory usage: 1.9 MB\n"
     ]
    }
   ],
   "source": [
    "Lake_Bilancino.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "conditions = [\n",
    "    (Lake_Bilancino[\"Rainfall_5\"]>53.3) & (Lake_Bilancino[\"Dormant\"]==0) ,\n",
    "    (Lake_Bilancino[\"Rainfall_5\"]>27.9) &  (Lake_Bilancino[\"Dormant\"]==1),\n",
    "    (Lake_Bilancino[\"Rainfall_5\"]>35.6 ) & (Lake_Bilancino[\"Dormant\"]==0) ,\n",
    "    (Lake_Bilancino[\"Rainfall_5\"]>(27.9)) &  (Lake_Bilancino[\"Dormant\"]==1),\n",
    "    (Lake_Bilancino[\"Rainfall_5\"]<=35.6 ) & (Lake_Bilancino[\"Dormant\"]==0) ,\n",
    "    (Lake_Bilancino[\"Rainfall_5\"]<=(27.9)) &  (Lake_Bilancino[\"Dormant\"]==1),\n",
    "]\n",
    "choices = [2,2,1,1, 0.01,0.01]\n",
    "Lake_Bilancino['Wet'] = np.select(conditions, choices, default=np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 1049
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Lake_Bilancino[\"Wet\"].plot( figsize=(18, 4)); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lake_Bilancino[(Lake_Bilancino[\"Rainfall_5\"]>53.3) & (Lake_Bilancino[\"Dormant\"]==0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "id": "kA4btpSaYnkr",
    "outputId": "8fd2af16-af99-4284-80f0-76c7e3a4136a"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>Wet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-11-10</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-11</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-12</th>\n",
       "      <td>1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-13</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-14</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-15</th>\n",
       "      <td>1</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-16</th>\n",
       "      <td>1</td>\n",
       "      <td>12.2</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-17</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-18</th>\n",
       "      <td>1</td>\n",
       "      <td>48.4</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-19</th>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-20</th>\n",
       "      <td>1</td>\n",
       "      <td>143.6</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-21</th>\n",
       "      <td>1</td>\n",
       "      <td>157.8</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-22</th>\n",
       "      <td>1</td>\n",
       "      <td>86.6</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-23</th>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-24</th>\n",
       "      <td>1</td>\n",
       "      <td>4.2</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-25</th>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-26</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-27</th>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-28</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-29</th>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-11-30</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-01</th>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-02</th>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-03</th>\n",
       "      <td>1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Dormant  Rainfall   Wet\n",
       "Date                               \n",
       "2006-11-10        1       0.0  0.01\n",
       "2006-11-11        1       0.0  0.01\n",
       "2006-11-12        1       2.2  0.01\n",
       "2006-11-13        1       0.2  0.01\n",
       "2006-11-14        1       0.0  0.01\n",
       "2006-11-15        1      26.2  0.01\n",
       "2006-11-16        1      12.2  2.00\n",
       "2006-11-17        1       0.2  2.00\n",
       "2006-11-18        1      48.4  2.00\n",
       "2006-11-19        1       2.6  2.00\n",
       "2006-11-20        1     143.6  2.00\n",
       "2006-11-21        1     157.8  2.00\n",
       "2006-11-22        1      86.6  2.00\n",
       "2006-11-23        1       0.4  2.00\n",
       "2006-11-24        1       4.2  2.00\n",
       "2006-11-25        1       0.8  2.00\n",
       "2006-11-26        1       0.0  2.00\n",
       "2006-11-27        1       0.8  0.01\n",
       "2006-11-28        1       1.0  0.01\n",
       "2006-11-29        1       0.4  0.01\n",
       "2006-11-30        1       0.2  0.01\n",
       "2006-12-01        1       0.2  0.01\n",
       "2006-12-02        1       0.4  0.01\n",
       "2006-12-03        1       2.4  0.01"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Bilancino.loc[\"10 Nov 2006\":\"3 Dec 2006\"].loc[:,['Dormant','Rainfall',\"Wet\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8Y1_W2MaYnkr"
   },
   "source": [
    "#### Soil status - Rainfall threshold for flood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "id": "iJ7VZIusYnkr"
   },
   "outputs": [],
   "source": [
    "Rainfallthreshold= pd.read_csv(r\"http://vanoproy.be/css/Soilstatus-Rainfallthresholdforflood.csv\", )\n",
    "Rainfallthreshold= Rainfallthreshold.sort_values( [\"Soil_status\",\"Duration(h)\"])\n",
    "#Rainfallthreshold.style.background_gradient(\"gist_stern\")#.head(13) #index_col=[0,1]\n",
    "RainfallthreshSieve= Rainfallthreshold.pivot( index=[\"Soil_status\"],columns=\"Duration(h)\",values=[\"Sieve\"]) \n",
    "RainfallthreshCasentino= Rainfallthreshold.pivot( index=[\"Soil_status\"],columns=\"Duration(h)\",values=[\"Casentino\"]) \n",
    "RainfallthreshUpstream_Florence= Rainfallthreshold.pivot( index=[\"Soil_status\"],columns=\"Duration(h)\",values=[\"Arno(upstream_Florence)\"]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "id": "wVuzEQuZYnks",
    "outputId": "bc3450c6-1dcd-406f-8ed4-d23a5ad1c72f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_262af_row0_col0,#T_262af_row0_col1,#T_262af_row0_col2,#T_262af_row0_col3{\n",
       "            background-color:  #00441b;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_262af_row1_col0{\n",
       "            background-color:  #a5db9f;\n",
       "            color:  #000000;\n",
       "        }#T_262af_row1_col1{\n",
       "            background-color:  #aadda4;\n",
       "            color:  #000000;\n",
       "        }#T_262af_row1_col2{\n",
       "            background-color:  #a4da9e;\n",
       "            color:  #000000;\n",
       "        }#T_262af_row1_col3{\n",
       "            background-color:  #a9dca3;\n",
       "            color:  #000000;\n",
       "        }#T_262af_row2_col0,#T_262af_row2_col1,#T_262af_row2_col2,#T_262af_row2_col3{\n",
       "            background-color:  #f7fcf5;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_262af_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=\"4\">Sieve</th>    </tr>    <tr>        <th class=\"index_name level1\" >Duration(h)</th>        <th class=\"col_heading level1 col0\" >3</th>        <th class=\"col_heading level1 col1\" >6</th>        <th class=\"col_heading level1 col2\" >12</th>        <th class=\"col_heading level1 col3\" >24</th>    </tr>    <tr>        <th class=\"index_name level0\" >Soil_status</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_262af_level0_row0\" class=\"row_heading level0 row0\" >AMC I</th>\n",
       "                        <td id=\"T_262af_row0_col0\" class=\"data row0 col0\" >90</td>\n",
       "                        <td id=\"T_262af_row0_col1\" class=\"data row0 col1\" >96</td>\n",
       "                        <td id=\"T_262af_row0_col2\" class=\"data row0 col2\" >104</td>\n",
       "                        <td id=\"T_262af_row0_col3\" class=\"data row0 col3\" >123</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_262af_level0_row1\" class=\"row_heading level0 row1\" >AMC II</th>\n",
       "                        <td id=\"T_262af_row1_col0\" class=\"data row1 col0\" >58</td>\n",
       "                        <td id=\"T_262af_row1_col1\" class=\"data row1 col1\" >62</td>\n",
       "                        <td id=\"T_262af_row1_col2\" class=\"data row1 col2\" >69</td>\n",
       "                        <td id=\"T_262af_row1_col3\" class=\"data row1 col3\" >86</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_262af_level0_row2\" class=\"row_heading level0 row2\" >AMC III</th>\n",
       "                        <td id=\"T_262af_row2_col0\" class=\"data row2 col0\" >40</td>\n",
       "                        <td id=\"T_262af_row2_col1\" class=\"data row2 col1\" >44</td>\n",
       "                        <td id=\"T_262af_row2_col2\" class=\"data row2 col2\" >49</td>\n",
       "                        <td id=\"T_262af_row2_col3\" class=\"data row2 col3\" >66</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x15db8881700>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RainfallthreshSieve.style.background_gradient(\"Greens\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E15Pj-szYnks"
   },
   "source": [
    "#### Sieve <a id=\"floods\">flood indicator</a>\n",
    "\n",
    "I try to use the 24h rainfall and the soil status to make a flood threshold indicator, based on the rainfall of the previous 2 days, just like the thresholds of the soil status have been determined. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "id": "j35_1tJBYnks",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"flood_Si\"] = np.where( (Lake_Bilancino.Rainfall.rolling(3).sum()>=66*2/3)& (Lake_Bilancino.Rainfall.rolling(3).sum()<86*2/3)& (Lake_Bilancino['Wet']==0.1),1,0)\n",
    "Lake_Bilancino[\"flood_Si\"] = np.where( (Lake_Bilancino.Rainfall.rolling(3).sum()>=86*2/3)& (Lake_Bilancino.Rainfall.rolling(3).sum()<123*2/3)& (Lake_Bilancino['Wet']==1),1,0)\n",
    "Lake_Bilancino[\"flood_Si\"] = np.where( (Lake_Bilancino.Rainfall.rolling(3).sum()>=123*2/3)& (Lake_Bilancino['Wet']== 2),1,0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "auvkWr_rYnks",
    "outputId": "5768a89e-a6a6-4e84-f173-e15e82eb2d4b"
   },
   "source": [
    "Lake_Bilancino.loc[\"2010\"][\"Wet_Si\"].plot( figsize=(19, 2)); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Potential Evapotranspiration\n",
    "\n",
    "Soil evaporation and plant transpiration are two important components of the soil water balance. Evapotranspiration is the sum of these two evaporative losses (one from the soil and the other from the plant stomates). There is another term, the potential evapotranspiration (PET), which refers to the potential evaporative losses, typically by an reference crop of idealized conditions (e.g. green grass of 8–15 cm height) actively growing under non limiting soil moisture conditions and under the influence of the local weather. This value is used as reference of the maximum water loss from the system due to soil evaporation and plant transpiration.\n",
    "\n",
    "Knowing the potential evaporation is useful to characterize climate regimes, usually the ratio of annual precipitation to annual PET. Another common use of PET, is in combination with empirical coefficients that can be used to weigh the PET of the reference crop to another crop.  \n",
    "Because potential evapotranspiration represents potential evaporative losses, the atmospheric vapor pressure deficit is a common term in many models. The vapor pressure deficit is computed by subtracting the actual vapor pressure from the saturation vapor pressure at the same ambient temperature. Vapor pressure deficit can be easily approximated using air temperature and relative humidity using **Tetens equation** for the saturation vapor pressure. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tetens(T):\n",
    "    Tetens= 0.6108*np.exp(17.27*T/(T+ 237.3)) \n",
    "    return Tetens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "Lake_Bilancino[\"Tetens\"]= Lake_Bilancino[\"Temperature_Le_Croci\"].apply( tetens)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "id": "OyyjE_yXYnkt"
   },
   "outputs": [],
   "source": [
    "Lake_River= Lake_Bilancino # make copy of original"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "msCbglcjYnkv"
   },
   "source": [
    "In 2013 and 2014 there occured some extreme flowrates. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "id": "szt_ECzqYnkw",
    "outputId": "5d41ddee-5a36-4707-e2b7-50e35ef88b5d"
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Temperature_Le_Croci</th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>FreRain</th>\n",
       "      <th>StoRain</th>\n",
       "      <th>Lev_1</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>Peil</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>isDry</th>\n",
       "      <th>R_m³</th>\n",
       "      <th>R_NO_3_m³</th>\n",
       "      <th>R_NO_2_m³</th>\n",
       "      <th>R_NO_2_m3cumul</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>Flow_Rdaycumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Wet</th>\n",
       "      <th>flood_Si</th>\n",
       "      <th>Tetens</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.15</td>\n",
       "      <td>247.34</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>49</td>\n",
       "      <td>2015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2.00e-02</td>\n",
       "      <td>1.14e-13</td>\n",
       "      <td>-5.68e-14</td>\n",
       "      <td>128.0</td>\n",
       "      <td>909.2</td>\n",
       "      <td>3.81</td>\n",
       "      <td>86400.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.09e+07</td>\n",
       "      <td>1.04e+08</td>\n",
       "      <td>6.97e+07</td>\n",
       "      <td>3.38e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0</td>\n",
       "      <td>1.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-08-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>21.00</td>\n",
       "      <td>249.38</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>8</td>\n",
       "      <td>35</td>\n",
       "      <td>2006</td>\n",
       "      <td>1.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.00e-02</td>\n",
       "      <td>1.72e+01</td>\n",
       "      <td>1.78e+01</td>\n",
       "      <td>20.4</td>\n",
       "      <td>314.2</td>\n",
       "      <td>5.85</td>\n",
       "      <td>216000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>267960.0</td>\n",
       "      <td>57120.0</td>\n",
       "      <td>48000.0</td>\n",
       "      <td>8.18e+07</td>\n",
       "      <td>1.23e+08</td>\n",
       "      <td>1.22e+08</td>\n",
       "      <td>1.30e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>1.78e+01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0</td>\n",
       "      <td>2.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.65</td>\n",
       "      <td>250.75</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.00e-02</td>\n",
       "      <td>1.94e+01</td>\n",
       "      <td>3.78e+01</td>\n",
       "      <td>124.6</td>\n",
       "      <td>538.8</td>\n",
       "      <td>7.22</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.86e+07</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>5.48e+07</td>\n",
       "      <td>5.06e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>3.78e+01</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-02-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.55</td>\n",
       "      <td>250.70</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>2005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00e-02</td>\n",
       "      <td>5.10e+01</td>\n",
       "      <td>1.07e+02</td>\n",
       "      <td>112.0</td>\n",
       "      <td>444.4</td>\n",
       "      <td>7.17</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.69e+07</td>\n",
       "      <td>1.02e+08</td>\n",
       "      <td>8.53e+07</td>\n",
       "      <td>1.68e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>7.90e+01</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_S_Piero  Rainfall_Mangona  Rainfall_S_Agata  \\\n",
       "Date                                                               \n",
       "2015-12-03               0.0               0.0               0.0   \n",
       "2006-08-29               0.0               0.8               1.2   \n",
       "2017-05-04               0.0               0.0               0.0   \n",
       "2005-02-26               0.0               0.0               0.0   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Temperature_Le_Croci  \\\n",
       "Date                                                                      \n",
       "2015-12-03                 0.0                0.0                  8.15   \n",
       "2006-08-29                 0.0                0.8                 21.00   \n",
       "2017-05-04                 0.0                0.0                 12.65   \n",
       "2005-02-26                 0.0                0.0                  3.55   \n",
       "\n",
       "            Lake_Level  Flow_Rate  Rainfall  RainNO_2  RainNO_3  month  week  \\\n",
       "Date                                                                           \n",
       "2015-12-03      247.34        1.0       0.0       0.0       0.0     12    49   \n",
       "2006-08-29      249.38        2.5       2.8       1.2       1.6      8    35   \n",
       "2017-05-04      250.75        0.6       0.0       0.0       0.0      5    18   \n",
       "2005-02-26      250.70        0.6       0.0       0.0       0.0      2     8   \n",
       "\n",
       "            year  FreRain  StoRain     Lev_1    Rain_3    Rain_7  Rain_14  \\\n",
       "Date                                                                        \n",
       "2015-12-03  2015      NaN      0.0 -2.00e-02  1.14e-13 -5.68e-14    128.0   \n",
       "2006-08-29  2006      1.6      NaN -5.00e-02  1.72e+01  1.78e+01     20.4   \n",
       "2017-05-04  2017      NaN      0.0 -1.00e-02  1.94e+01  3.78e+01    124.6   \n",
       "2005-02-26  2005      NaN      0.0  1.00e-02  5.10e+01  1.07e+02    112.0   \n",
       "\n",
       "            Rain_72  Peil  Flow_Rday  isDry      R_m³  R_NO_3_m³  R_NO_2_m³  \\\n",
       "Date                                                                          \n",
       "2015-12-03    909.2  3.81    86400.0   15.0       0.0        0.0        0.0   \n",
       "2006-08-29    314.2  5.85   216000.0    NaN  267960.0    57120.0    48000.0   \n",
       "2017-05-04    538.8  7.22    51840.0   22.0       0.0        0.0        0.0   \n",
       "2005-02-26    444.4  7.17    51840.0   21.0       0.0        0.0        0.0   \n",
       "\n",
       "            R_NO_2_m3cumul  R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  \\\n",
       "Date                                                                     \n",
       "2015-12-03        7.09e+07        1.04e+08        6.97e+07    3.38e+07   \n",
       "2006-08-29        8.18e+07        1.23e+08        1.22e+08    1.30e+06   \n",
       "2017-05-04        6.86e+07        1.05e+08        5.48e+07    5.06e+07   \n",
       "2005-02-26        5.69e+07        1.02e+08        8.53e+07    1.68e+07   \n",
       "\n",
       "            Dormant  Rainfall_5   Wet  flood_Si  Tetens  \n",
       "Date                                                     \n",
       "2015-12-03        1   -2.84e-14  0.01         0    1.08  \n",
       "2006-08-29        0    1.78e+01  0.01         0    2.49  \n",
       "2017-05-04        0    3.78e+01  1.00         0    1.46  \n",
       "2005-02-26        1    7.90e+01  2.00         0    0.79  "
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_River.sample(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "dropping features that are, or have proven to be obsolete for training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "id": "R_otjnVnYnkw"
   },
   "outputs": [],
   "source": [
    "Lake_River= Lake_River.drop(columns=['Rainfall_S_Piero','Rainfall_Mangona','Rainfall_S_Agata',\"R_m³\",\"R_NO_3_m³\",\"R_NO_2_m³\",'Rainfall_Cavallina', \n",
    "                                     'Rainfall_Le_Croci', 'FreRain','StoRain',\"Lev_1\",\"Peil\",'flood_Si', 'isDry','R_NO_2_m3cumul','Wet','Temperature_Le_Croci'], axis=1)\n",
    "#\"R_m³\", \"Temperature_Firenze\", ,\"HG08\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-jG_KAJFYnkx"
   },
   "source": [
    "### Prediction of Lake Bilancino flow rate\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>Flow_Rdaycumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Tetens</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>246.83</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>1.40e+00</td>\n",
       "      <td>81.8</td>\n",
       "      <td>735.6</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.14e+08</td>\n",
       "      <td>9.05e+07</td>\n",
       "      <td>2.37e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>0.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02</th>\n",
       "      <td>246.82</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>1.40e+00</td>\n",
       "      <td>25.4</td>\n",
       "      <td>735.6</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.14e+08</td>\n",
       "      <td>8.95e+07</td>\n",
       "      <td>2.41e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>8.00e-01</td>\n",
       "      <td>0.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-03</th>\n",
       "      <td>246.81</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>1.20e+00</td>\n",
       "      <td>19.0</td>\n",
       "      <td>735.6</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.13e+08</td>\n",
       "      <td>8.85e+07</td>\n",
       "      <td>2.48e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.33e-14</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-04</th>\n",
       "      <td>246.80</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>8.00e-01</td>\n",
       "      <td>2.6</td>\n",
       "      <td>735.6</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.13e+08</td>\n",
       "      <td>8.77e+07</td>\n",
       "      <td>2.53e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.33e-14</td>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-05</th>\n",
       "      <td>246.79</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>-1.39e-13</td>\n",
       "      <td>2.6</td>\n",
       "      <td>734.4</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.13e+08</td>\n",
       "      <td>8.70e+07</td>\n",
       "      <td>2.60e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.33e-14</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-27</th>\n",
       "      <td>250.32</td>\n",
       "      <td>11.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>1.17e+02</td>\n",
       "      <td>279.2</td>\n",
       "      <td>1929.4</td>\n",
       "      <td>962496.0</td>\n",
       "      <td>1.42e+08</td>\n",
       "      <td>7.77e+07</td>\n",
       "      <td>6.39e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>1.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-28</th>\n",
       "      <td>250.21</td>\n",
       "      <td>9.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.56e-13</td>\n",
       "      <td>6.00e-01</td>\n",
       "      <td>273.2</td>\n",
       "      <td>1929.2</td>\n",
       "      <td>855360.0</td>\n",
       "      <td>1.42e+08</td>\n",
       "      <td>7.85e+07</td>\n",
       "      <td>6.31e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-29</th>\n",
       "      <td>250.13</td>\n",
       "      <td>8.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>52</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.56e-13</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>269.8</td>\n",
       "      <td>1928.0</td>\n",
       "      <td>756000.0</td>\n",
       "      <td>1.42e+08</td>\n",
       "      <td>7.92e+07</td>\n",
       "      <td>6.23e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>0.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-30</th>\n",
       "      <td>250.04</td>\n",
       "      <td>7.42</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.56e-13</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>269.6</td>\n",
       "      <td>1928.0</td>\n",
       "      <td>641088.0</td>\n",
       "      <td>1.42e+08</td>\n",
       "      <td>7.98e+07</td>\n",
       "      <td>6.18e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>249.94</td>\n",
       "      <td>7.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>1.56e-13</td>\n",
       "      <td>2.00e-01</td>\n",
       "      <td>269.6</td>\n",
       "      <td>1928.0</td>\n",
       "      <td>622080.0</td>\n",
       "      <td>1.42e+08</td>\n",
       "      <td>8.04e+07</td>\n",
       "      <td>6.12e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.42e-14</td>\n",
       "      <td>0.92</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Lake_Level  Flow_Rate  Rainfall  RainNO_2  RainNO_3  month  week  \\\n",
       "Date                                                                           \n",
       "2019-01-01      246.83       0.60       0.0       0.0       0.0      1     1   \n",
       "2019-01-02      246.82       0.60       0.0       0.0       0.0      1     1   \n",
       "2019-01-03      246.81       0.60       0.0       0.0       0.0      1     1   \n",
       "2019-01-04      246.80       0.60       0.0       0.0       0.0      1     1   \n",
       "2019-01-05      246.79       0.60       0.0       0.0       0.0      1     1   \n",
       "...                ...        ...       ...       ...       ...    ...   ...   \n",
       "2019-12-27      250.32      11.14       0.0       0.0       0.0     12    52   \n",
       "2019-12-28      250.21       9.90       0.0       0.0       0.0     12    52   \n",
       "2019-12-29      250.13       8.75       0.0       0.0       0.0     12    52   \n",
       "2019-12-30      250.04       7.42       0.2       0.2       0.0     12     1   \n",
       "2019-12-31      249.94       7.20       0.0       0.0       0.0     12     1   \n",
       "\n",
       "            year    Rain_3    Rain_7  Rain_14  Rain_72  Flow_Rday  \\\n",
       "Date                                                                \n",
       "2019-01-01  2019  1.42e-13  1.40e+00     81.8    735.6    51840.0   \n",
       "2019-01-02  2019  1.42e-13  1.40e+00     25.4    735.6    51840.0   \n",
       "2019-01-03  2019  1.42e-13  1.20e+00     19.0    735.6    51840.0   \n",
       "2019-01-04  2019  1.42e-13  8.00e-01      2.6    735.6    51840.0   \n",
       "2019-01-05  2019  1.42e-13 -1.39e-13      2.6    734.4    51840.0   \n",
       "...          ...       ...       ...      ...      ...        ...   \n",
       "2019-12-27  2019  2.00e-01  1.17e+02    279.2   1929.4   962496.0   \n",
       "2019-12-28  2019  1.56e-13  6.00e-01    273.2   1929.2   855360.0   \n",
       "2019-12-29  2019  1.56e-13  4.00e-01    269.8   1928.0   756000.0   \n",
       "2019-12-30  2019  1.56e-13  4.00e-01    269.6   1928.0   641088.0   \n",
       "2019-12-31  2019  1.56e-13  2.00e-01    269.6   1928.0   622080.0   \n",
       "\n",
       "            R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  Dormant  Rainfall_5  \\\n",
       "Date                                                                          \n",
       "2019-01-01        1.14e+08        9.05e+07    2.37e+07        1    1.20e+00   \n",
       "2019-01-02        1.14e+08        8.95e+07    2.41e+07        1    8.00e-01   \n",
       "2019-01-03        1.13e+08        8.85e+07    2.48e+07        1   -5.33e-14   \n",
       "2019-01-04        1.13e+08        8.77e+07    2.53e+07        1   -5.33e-14   \n",
       "2019-01-05        1.13e+08        8.70e+07    2.60e+07        1   -5.33e-14   \n",
       "...                    ...             ...         ...      ...         ...   \n",
       "2019-12-27        1.42e+08        7.77e+07    6.39e+07        1    4.00e-01   \n",
       "2019-12-28        1.42e+08        7.85e+07    6.31e+07        1    4.00e-01   \n",
       "2019-12-29        1.42e+08        7.92e+07    6.23e+07        1    2.00e-01   \n",
       "2019-12-30        1.42e+08        7.98e+07    6.18e+07        1    1.42e-14   \n",
       "2019-12-31        1.42e+08        8.04e+07    6.12e+07        1    1.42e-14   \n",
       "\n",
       "            Tetens  \n",
       "Date                \n",
       "2019-01-01    0.96  \n",
       "2019-01-02    0.73  \n",
       "2019-01-03    0.60  \n",
       "2019-01-04    0.62  \n",
       "2019-01-05    0.74  \n",
       "...            ...  \n",
       "2019-12-27    1.02  \n",
       "2019-12-28    0.88  \n",
       "2019-12-29    0.82  \n",
       "2019-12-30    0.83  \n",
       "2019-12-31    0.92  \n",
       "\n",
       "[365 rows x 19 columns]"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_River.loc[\"2019\"]# I must avoid use the 2004 data !!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "id": "8PHRMHIwYnkx"
   },
   "outputs": [],
   "source": [
    "#  repeting series in the flow rate data  stops at 26/03/2005 ...and ends at 16/6/2020 \n",
    "ll= Lake_River[\"2005-03-26\":\"2020\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "id": "NF3SQQ9KYnkx",
    "outputId": "b3e20160-f66b-4c62-87ac-331923878e5a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Lake_Level', 'Flow_Rate', 'Rainfall', 'RainNO_2', 'RainNO_3', 'month',\n",
       "       'week', 'year', 'Rain_3', 'Rain_7', 'Rain_14', 'Rain_72', 'Flow_Rday',\n",
       "       'R_NO_3_m3cumul', 'Flow_Rdaycumul', 'balance_m³', 'Dormant',\n",
       "       'Rainfall_5', 'Tetens'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ll.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "id": "bfGI9oFnYnkx",
    "outputId": "ea4abd6b-53d4-4c6e-d727-991c89bb9a08"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>Flow_Rdaycumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Tetens</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2009-02-13</th>\n",
       "      <td>252.03</td>\n",
       "      <td>6.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2009</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>65.8</td>\n",
       "      <td>312.2</td>\n",
       "      <td>1030.4</td>\n",
       "      <td>596160.0</td>\n",
       "      <td>1.21e+08</td>\n",
       "      <td>7.16e+07</td>\n",
       "      <td>4.99e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-24</th>\n",
       "      <td>246.22</td>\n",
       "      <td>0.6</td>\n",
       "      <td>39.0</td>\n",
       "      <td>17.2</td>\n",
       "      <td>21.8</td>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>2018</td>\n",
       "      <td>1.13e+02</td>\n",
       "      <td>133.6</td>\n",
       "      <td>135.2</td>\n",
       "      <td>589.0</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.36e+08</td>\n",
       "      <td>1.01e+08</td>\n",
       "      <td>3.45e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>119.6</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-05</th>\n",
       "      <td>247.30</td>\n",
       "      <td>2.5</td>\n",
       "      <td>59.4</td>\n",
       "      <td>24.6</td>\n",
       "      <td>34.8</td>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "      <td>2018</td>\n",
       "      <td>3.52e+01</td>\n",
       "      <td>83.0</td>\n",
       "      <td>86.2</td>\n",
       "      <td>313.6</td>\n",
       "      <td>216000.0</td>\n",
       "      <td>1.36e+08</td>\n",
       "      <td>9.96e+07</td>\n",
       "      <td>3.66e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>1.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-06-19</th>\n",
       "      <td>251.87</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>2006</td>\n",
       "      <td>-1.78e-15</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.4</td>\n",
       "      <td>387.0</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.25e+08</td>\n",
       "      <td>1.20e+08</td>\n",
       "      <td>4.90e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-10-27</th>\n",
       "      <td>247.73</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "      <td>2010</td>\n",
       "      <td>1.08e+02</td>\n",
       "      <td>109.6</td>\n",
       "      <td>204.0</td>\n",
       "      <td>635.4</td>\n",
       "      <td>233280.0</td>\n",
       "      <td>1.53e+08</td>\n",
       "      <td>1.04e+08</td>\n",
       "      <td>4.93e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>109.4</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-03-12</th>\n",
       "      <td>251.99</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>2006</td>\n",
       "      <td>6.16e+01</td>\n",
       "      <td>72.4</td>\n",
       "      <td>248.8</td>\n",
       "      <td>874.0</td>\n",
       "      <td>950400.0</td>\n",
       "      <td>1.32e+08</td>\n",
       "      <td>1.32e+08</td>\n",
       "      <td>-8.04e+03</td>\n",
       "      <td>1</td>\n",
       "      <td>70.6</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-11-09</th>\n",
       "      <td>244.35</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>2011</td>\n",
       "      <td>6.82e+01</td>\n",
       "      <td>99.4</td>\n",
       "      <td>100.2</td>\n",
       "      <td>520.2</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>1.15e+08</td>\n",
       "      <td>1.25e+08</td>\n",
       "      <td>-1.07e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>87.2</td>\n",
       "      <td>1.66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Lake_Level  Flow_Rate  Rainfall  RainNO_2  RainNO_3  month  week  \\\n",
       "Date                                                                           \n",
       "2009-02-13      252.03        6.9       0.0       0.0       0.0      2     7   \n",
       "2018-11-24      246.22        0.6      39.0      17.2      21.8     11    47   \n",
       "2018-10-05      247.30        2.5      59.4      24.6      34.8     10    40   \n",
       "2006-06-19      251.87        0.6       0.0       0.0       0.0      6    25   \n",
       "2010-10-27      247.73        2.7       0.4       0.2       0.2     10    43   \n",
       "2006-03-12      251.99       11.0       1.4       1.2       0.2      3    10   \n",
       "2011-11-09      244.35        0.6       0.0       0.0       0.0     11    45   \n",
       "\n",
       "            year    Rain_3  Rain_7  Rain_14  Rain_72  Flow_Rday  \\\n",
       "Date                                                              \n",
       "2009-02-13  2009  0.00e+00    65.8    312.2   1030.4   596160.0   \n",
       "2018-11-24  2018  1.13e+02   133.6    135.2    589.0    51840.0   \n",
       "2018-10-05  2018  3.52e+01    83.0     86.2    313.6   216000.0   \n",
       "2006-06-19  2006 -1.78e-15     0.0     15.4    387.0    51840.0   \n",
       "2010-10-27  2010  1.08e+02   109.6    204.0    635.4   233280.0   \n",
       "2006-03-12  2006  6.16e+01    72.4    248.8    874.0   950400.0   \n",
       "2011-11-09  2011  6.82e+01    99.4    100.2    520.2    51840.0   \n",
       "\n",
       "            R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  Dormant  Rainfall_5  \\\n",
       "Date                                                                          \n",
       "2009-02-13        1.21e+08        7.16e+07    4.99e+07        1        28.0   \n",
       "2018-11-24        1.36e+08        1.01e+08    3.45e+07        1       119.6   \n",
       "2018-10-05        1.36e+08        9.96e+07    3.66e+07        0        36.4   \n",
       "2006-06-19        1.25e+08        1.20e+08    4.90e+06        0         0.0   \n",
       "2010-10-27        1.53e+08        1.04e+08    4.93e+07        0       109.4   \n",
       "2006-03-12        1.32e+08        1.32e+08   -8.04e+03        1        70.6   \n",
       "2011-11-09        1.15e+08        1.25e+08   -1.07e+07        1        87.2   \n",
       "\n",
       "            Tetens  \n",
       "Date                \n",
       "2009-02-13    0.89  \n",
       "2018-11-24    1.18  \n",
       "2018-10-05    1.77  \n",
       "2006-06-19    2.90  \n",
       "2010-10-27    1.22  \n",
       "2006-03-12    0.86  \n",
       "2011-11-09    1.66  "
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ll.sample(7) #head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5576, 19)"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ll.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {
    "id": "kpohpPBwYnky",
    "outputId": "49d7f380-0f15-41a0-c9ae-7f42d9a6371b"
   },
   "outputs": [],
   "source": [
    "ll.dropna(inplace=True)  # ll is 5 rainfall summed, + approx + logars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5576, 19)"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ll.shape"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "_z-aCuSKX_T0",
    "outputId": "592df615-95fe-42f3-b696-71e48799c0b4"
   },
   "source": [
    "ll.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Pf3YnScBYnky"
   },
   "source": [
    "Predict  the flow rate? That means that I have to get rid of all columns which have been derive by the flowrate column - and so abiding to the competition rules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {
    "id": "Gc1bhW9HYnky",
    "outputId": "9f4089d3-8b70-478b-e572-5cd2f4280230"
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Tetens</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-03-26</th>\n",
       "      <td>251.71</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.6</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>2005</td>\n",
       "      <td>42.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>91.8</td>\n",
       "      <td>422.6</td>\n",
       "      <td>1.00e+08</td>\n",
       "      <td>2.98e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>45.8</td>\n",
       "      <td>1.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-27</th>\n",
       "      <td>251.75</td>\n",
       "      <td>199.6</td>\n",
       "      <td>79.6</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>2005</td>\n",
       "      <td>139.6</td>\n",
       "      <td>165.8</td>\n",
       "      <td>166.6</td>\n",
       "      <td>541.8</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.40e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>163.0</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-28</th>\n",
       "      <td>252.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>121.6</td>\n",
       "      <td>165.8</td>\n",
       "      <td>166.2</td>\n",
       "      <td>541.6</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.31e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-29</th>\n",
       "      <td>252.14</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>120.8</td>\n",
       "      <td>163.8</td>\n",
       "      <td>167.0</td>\n",
       "      <td>542.4</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.18e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>140.4</td>\n",
       "      <td>1.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-30</th>\n",
       "      <td>252.11</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.8</td>\n",
       "      <td>162.8</td>\n",
       "      <td>167.0</td>\n",
       "      <td>542.4</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.08e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>122.4</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Lake_Level  Rainfall  RainNO_2  RainNO_3  month  week  year  \\\n",
       "Date                                                                      \n",
       "2005-03-26      251.71       2.2       0.6       1.6      3    12  2005   \n",
       "2005-03-27      251.75     199.6      79.6     120.0      3    12  2005   \n",
       "2005-03-28      252.16       0.0       0.0       0.0      3    13  2005   \n",
       "2005-03-29      252.14       1.4       0.6       0.8      3    13  2005   \n",
       "2005-03-30      252.11       0.2       0.2       0.0      3    13  2005   \n",
       "\n",
       "            Rain_3  Rain_7  Rain_14  Rain_72  R_NO_3_m3cumul  balance_m³  \\\n",
       "Date                                                                       \n",
       "2005-03-26    42.0    46.0     91.8    422.6        1.00e+08    2.98e+07   \n",
       "2005-03-27   139.6   165.8    166.6    541.8        1.05e+08    3.40e+07   \n",
       "2005-03-28   121.6   165.8    166.2    541.6        1.05e+08    3.31e+07   \n",
       "2005-03-29   120.8   163.8    167.0    542.4        1.05e+08    3.18e+07   \n",
       "2005-03-30     0.8   162.8    167.0    542.4        1.05e+08    3.08e+07   \n",
       "\n",
       "            Dormant  Rainfall_5  Tetens  \n",
       "Date                                     \n",
       "2005-03-26        1        45.8    1.51  \n",
       "2005-03-27        1       163.0    1.60  \n",
       "2005-03-28        1       162.0    1.32  \n",
       "2005-03-29        1       140.4    1.56  \n",
       "2005-03-30        1       122.4    1.32  "
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Flow_Rate= ll.loc[:,\"Flow_Rate\"]\n",
    "lld= ll.drop([\"Flow_Rate\",\"Flow_Rday\",\"Flow_Rdaycumul\"], axis=1) #\n",
    "lld.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {
    "id": "XXnClXrDYnky",
    "outputId": "ba510a58-ab8c-4494-eea2-4a5e715a3d42"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Tetens</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-03-26</th>\n",
       "      <td>251.71</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.6</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>2005</td>\n",
       "      <td>4.20e+01</td>\n",
       "      <td>4.60e+01</td>\n",
       "      <td>9.18e+01</td>\n",
       "      <td>422.6</td>\n",
       "      <td>1.00e+08</td>\n",
       "      <td>2.98e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>45.8</td>\n",
       "      <td>1.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-27</th>\n",
       "      <td>251.75</td>\n",
       "      <td>199.6</td>\n",
       "      <td>79.6</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>2005</td>\n",
       "      <td>1.40e+02</td>\n",
       "      <td>1.66e+02</td>\n",
       "      <td>1.67e+02</td>\n",
       "      <td>541.8</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.40e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>163.0</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-28</th>\n",
       "      <td>252.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>1.22e+02</td>\n",
       "      <td>1.66e+02</td>\n",
       "      <td>1.66e+02</td>\n",
       "      <td>541.6</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.31e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-29</th>\n",
       "      <td>252.14</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>1.21e+02</td>\n",
       "      <td>1.64e+02</td>\n",
       "      <td>1.67e+02</td>\n",
       "      <td>542.4</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.18e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>140.4</td>\n",
       "      <td>1.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-30</th>\n",
       "      <td>252.11</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>8.00e-01</td>\n",
       "      <td>1.63e+02</td>\n",
       "      <td>1.67e+02</td>\n",
       "      <td>542.4</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>3.08e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>122.4</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-26</th>\n",
       "      <td>250.85</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>6.18e+01</td>\n",
       "      <td>548.2</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-27</th>\n",
       "      <td>250.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>5.66e+01</td>\n",
       "      <td>548.2</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-28</th>\n",
       "      <td>250.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2020</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>2.20e+01</td>\n",
       "      <td>548.2</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-29</th>\n",
       "      <td>250.82</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>1.28e+01</td>\n",
       "      <td>546.6</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-30</th>\n",
       "      <td>250.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>2020</td>\n",
       "      <td>1.71e-13</td>\n",
       "      <td>-1.71e-13</td>\n",
       "      <td>1.42e-13</td>\n",
       "      <td>492.2</td>\n",
       "      <td>1.39e+08</td>\n",
       "      <td>3.68e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5576 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Lake_Level  Rainfall  RainNO_2  RainNO_3  month  week  year  \\\n",
       "Date                                                                      \n",
       "2005-03-26      251.71       2.2       0.6       1.6      3    12  2005   \n",
       "2005-03-27      251.75     199.6      79.6     120.0      3    12  2005   \n",
       "2005-03-28      252.16       0.0       0.0       0.0      3    13  2005   \n",
       "2005-03-29      252.14       1.4       0.6       0.8      3    13  2005   \n",
       "2005-03-30      252.11       0.2       0.2       0.0      3    13  2005   \n",
       "...                ...       ...       ...       ...    ...   ...   ...   \n",
       "2020-06-26      250.85       0.0       0.0       0.0      6    26  2020   \n",
       "2020-06-27      250.84       0.0       0.0       0.0      6    26  2020   \n",
       "2020-06-28      250.83       0.0       0.0       0.0      6    26  2020   \n",
       "2020-06-29      250.82       0.0       0.0       0.0      6    27  2020   \n",
       "2020-06-30      250.80       0.0       0.0       0.0      6    27  2020   \n",
       "\n",
       "              Rain_3    Rain_7   Rain_14  Rain_72  R_NO_3_m3cumul  balance_m³  \\\n",
       "Date                                                                            \n",
       "2005-03-26  4.20e+01  4.60e+01  9.18e+01    422.6        1.00e+08    2.98e+07   \n",
       "2005-03-27  1.40e+02  1.66e+02  1.67e+02    541.8        1.05e+08    3.40e+07   \n",
       "2005-03-28  1.22e+02  1.66e+02  1.66e+02    541.6        1.05e+08    3.31e+07   \n",
       "2005-03-29  1.21e+02  1.64e+02  1.67e+02    542.4        1.05e+08    3.18e+07   \n",
       "2005-03-30  8.00e-01  1.63e+02  1.67e+02    542.4        1.05e+08    3.08e+07   \n",
       "...              ...       ...       ...      ...             ...         ...   \n",
       "2020-06-26  1.71e-13 -1.71e-13  6.18e+01    548.2        1.39e+08    3.68e+07   \n",
       "2020-06-27  1.71e-13 -1.71e-13  5.66e+01    548.2        1.39e+08    3.68e+07   \n",
       "2020-06-28  1.71e-13 -1.71e-13  2.20e+01    548.2        1.39e+08    3.68e+07   \n",
       "2020-06-29  1.71e-13 -1.71e-13  1.28e+01    546.6        1.39e+08    3.68e+07   \n",
       "2020-06-30  1.71e-13 -1.71e-13  1.42e-13    492.2        1.39e+08    3.68e+07   \n",
       "\n",
       "            Dormant  Rainfall_5  Tetens  \n",
       "Date                                     \n",
       "2005-03-26        1        45.8    1.51  \n",
       "2005-03-27        1       163.0    1.60  \n",
       "2005-03-28        1       162.0    1.32  \n",
       "2005-03-29        1       140.4    1.56  \n",
       "2005-03-30        1       122.4    1.32  \n",
       "...             ...         ...     ...  \n",
       "2020-06-26        0         0.0    2.73  \n",
       "2020-06-27        0         0.0    2.88  \n",
       "2020-06-28        0         0.0    2.56  \n",
       "2020-06-29        0         0.0    2.84  \n",
       "2020-06-30        0         0.0    2.77  \n",
       "\n",
       "[5576 rows x 16 columns]"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lld"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "id": "dxY8jzfhYnky"
   },
   "outputs": [],
   "source": [
    "lld.dropna(inplace=True)  # ll is 5 rainfall summed, + approx + logars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "id": "p1jVCpL9Ynky",
    "outputId": "438f7b0d-d169-4c49-df5e-c98490272cbb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5576,) (5576, 16)\n"
     ]
    }
   ],
   "source": [
    "print(Flow_Rate.shape, lld.shape )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NRfPu_SOYnkz"
   },
   "source": [
    "lld.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TFHRI1QjYnkz",
    "outputId": "d11167c7-85e8-439a-9a7f-618e02d512a8"
   },
   "source": [
    "Flow_Rate.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "id": "R58UUcogYnkz"
   },
   "outputs": [],
   "source": [
    "X= lld"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {
    "id": "PpeCwQEVYnk0"
   },
   "outputs": [],
   "source": [
    "y= Flow_Rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "id": "B9UlE-M8Ynk0"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "#from sklearn.feature_selection import SelectFromModel\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "X_train,X_test, y_train,y_test= train_test_split(X ,y, random_state=1100, test_size=0.105,shuffle=False )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {
    "id": "goQfWPfzYnk0",
    "outputId": "977d9309-924b-463e-bb70-e9333a37357c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2020-06-21    0.6\n",
       "2020-06-22    0.6\n",
       "2020-06-23    0.6\n",
       "2020-06-24    0.6\n",
       "2020-06-25    0.6\n",
       "2020-06-26    0.6\n",
       "2020-06-27    0.6\n",
       "2020-06-28    0.6\n",
       "2020-06-29    0.6\n",
       "2020-06-30    0.6\n",
       "Name: Flow_Rate, dtype: float64"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "id": "uwg-l3fvYnk1",
    "outputId": "b7f19866-8a4f-4035-e41b-c584579a3e2f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "id": "h8979DP_Ynk1",
    "outputId": "0152885e-8e5e-45f8-9ef1-69872cc2eb50"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2018-11-23    0.6\n",
       "2018-11-24    0.6\n",
       "2018-11-25    0.6\n",
       "2018-11-26    0.6\n",
       "2018-11-27    0.6\n",
       "             ... \n",
       "2020-06-26    0.6\n",
       "2020-06-27    0.6\n",
       "2020-06-28    0.6\n",
       "2020-06-29    0.6\n",
       "2020-06-30    0.6\n",
       "Name: Flow_Rate, Length: 586, dtype: float64"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "id": "RsD2XRm0Ynk1",
    "outputId": "19a7f2be-f7fc-4747-9530-d1c35c4a87e2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4990, 16) (4990,) (586, 16) (586,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape, y_train.shape, X_test.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {
    "id": "4sNJpARaYnk1"
   },
   "outputs": [],
   "source": [
    "#from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.ensemble import ExtraTreesRegressor\n",
    "#from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn import preprocessing\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "sc = StandardScaler()\n",
    "X_train = sc.fit_transform(X_train)\n",
    "X_test = sc.transform(X_test)\n",
    "\n",
    "#GBr = GradientBoostingRegressor(random_state=1100)\n",
    "RFr = ExtraTreesRegressor(random_state=1100, n_jobs=3, n_estimators=12300,bootstrap=True,verbose=1,criterion=\"mse\",ccp_alpha=0.00)#\"mae\"max_features=\"auto\" log"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "id": "-VM8AEY2Ynk1",
    "outputId": "9b1231c2-5bdb-4b13-9dc6-50b2ec0caa45"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ieLc237nYnk1",
    "outputId": "f2b7b4b7-b43e-486f-94eb-b8fc86affb39"
   },
   "outputs": [],
   "source": [
    "type(y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FubQLRJJYnk2",
    "outputId": "8e1a6d57-0607-4240-81ae-dafdc6b9fca0"
   },
   "source": [
    "X_train[:5,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "93AWmGl0Ynk2",
    "outputId": "16ba0258-97a2-4279-a88a-80b3e120cf17"
   },
   "source": [
    "X_test[:5,:] #.tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {
    "id": "MjA3aY9yYnk2",
    "outputId": "b617564f-3e1d-40aa-b2fb-ff3d732d819e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    2.7s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    6.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:   11.8s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:   22.4s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:   33.7s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:   45.4s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:  1.0min\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:  1.3min\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:  1.6min\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:  2.1min\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:  2.5min\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:  2.9min\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:  3.5min\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:  4.0min\n",
      "[Parallel(n_jobs=3)]: Done 12300 out of 12300 | elapsed:  4.3min finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor(bootstrap=True, n_estimators=12300, n_jobs=3,\n",
       "                    random_state=1100, verbose=1)"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr.fit(X_train, y_train.values.ravel()) #.ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {
    "id": "2iK0nxXJYnk2",
    "outputId": "c81eca40-a671-4935-8cfc-def0fadf6d8f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature 0 (0.323908)\n",
      "2. feature 10 (0.107361)\n",
      "3. feature 9 (0.098968)\n",
      "4. feature 8 (0.064975)\n",
      "5. feature 14 (0.062859)\n",
      "6. feature 7 (0.056909)\n",
      "7. feature 4 (0.049116)\n",
      "8. feature 5 (0.042814)\n",
      "9. feature 13 (0.041048)\n",
      "10. feature 11 (0.030538)\n",
      "11. feature 6 (0.029356)\n",
      "12. feature 12 (0.023534)\n",
      "13. feature 2 (0.020063)\n",
      "14. feature 1 (0.017600)\n",
      "15. feature 3 (0.016269)\n",
      "16. feature 15 (0.014682)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 373
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "importances = RFr.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in RFr.estimators_],\n",
    "             axis=0)\n",
    "indices = np.argsort(importances)[::-1]\n",
    "print(\"Feature ranking:\")\n",
    "\n",
    "for f in range(X.shape[1]):\n",
    "    print(\"%d. feature %d (%f)\" % (f + 1, indices[f], importances[indices[f]]))\n",
    "\n",
    "# Plot the feature importances of the forest\n",
    "plt.figure()\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X.shape[1]), importances[indices],\n",
    "       color=\"r\", yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X.shape[1]), indices)\n",
    "plt.xlim([-1, X.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "id": "loRUGMPIYnk2",
    "outputId": "c2bdc40c-c584-4005-aee7-17e4fe6b4c84"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0, 'Lake_Level'), (1, 'Rainfall'), (2, 'RainNO_2'), (3, 'RainNO_3'), (4, 'month'), (5, 'week'), (6, 'year'), (7, 'Rain_3'), (8, 'Rain_7'), (9, 'Rain_14'), (10, 'Rain_72'), (11, 'R_NO_3_m3cumul'), (12, 'balance_m³'), (13, 'Dormant'), (14, 'Rainfall_5'), (15, 'Tetens')]\n"
     ]
    }
   ],
   "source": [
    "lldcolumns= list(lld.columns); lldcols=enumerate(lldcolumns) ;  print (list(lldcols))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RKvTzju4Ynk2",
    "outputId": "4357195a-b8ec-4694-af62-1a2aef9f62d9"
   },
   "source": [
    "[(0, 'Temperature_Le_Croci'), (1, 'Lake_Level'), (2, 'Rainfall'), (3, 'RainNO_2'), (4, 'RainNO_3'), (5, 'month'), (6, 'week'), (7, 'year'), (8, 'Rain_3'), (9, 'Rain_7'), (10, 'Rain_14'), (11, 'Rain_72'), (12, 'R_NO_2_m3cumul'), (13, 'R_NO_3_m3cumul'), (14, 'balance_m³'), (15, 'Dormant'), (16, 'Rainfall_5'), (17, 'Wet'), (18, 'Tetens')]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "om0wMygJYnk3"
   },
   "source": [
    "#### Return the coefficient of determination 𝑅2 of the prediction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {
    "id": "HO7SuxxHYnk3",
    "outputId": "3b132caa-335b-440b-a6c9-f5935238b3f1"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    0.3s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    0.4s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    0.7s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:    0.8s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:    1.0s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:    1.1s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=3)]: Done 12300 out of 12300 | elapsed:    1.4s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.6199465602460426"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr.score(X_test, y_test) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {
    "id": "8JEosk28Ynk3",
    "outputId": "74133ac4-d956-4c31-cc58-6a0d788bbb9b"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    0.3s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    0.4s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    0.5s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:    0.8s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:    0.9s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:    1.1s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:    1.3s\n",
      "[Parallel(n_jobs=3)]: Done 12300 out of 12300 | elapsed:    1.4s finished\n"
     ]
    }
   ],
   "source": [
    "y_pred = RFr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "id": "8knmwY6KYnk3",
    "outputId": "df78ec89-202c-4861-94c6-2787bc4b4e06"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(614,)"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wJ_JTzxnYnk3",
    "outputId": "4c4dd124-e23a-4c2a-ec9a-49227309c56d"
   },
   "outputs": [],
   "source": [
    "print(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "_k7gkMs8Ynk3",
    "outputId": "7f811b5e-2708-42e8-832c-0d1dd22e345e"
   },
   "outputs": [],
   "source": [
    "print(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {
    "id": "i1jCH0ehYnk3"
   },
   "outputs": [],
   "source": [
    "y_test = y_test.values.ravel() #values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "JNm_KVUMYnk3",
    "outputId": "a4618691-0a1e-40c5-9c41-243b477f0434"
   },
   "outputs": [],
   "source": [
    "print(y_test, type(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "qoU09GrPYnk4",
    "outputId": "282b4c4c-95ea-42be-cc4f-430910648162"
   },
   "outputs": [],
   "source": [
    "print(y_pred, type(y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1Fltji4sYnk4"
   },
   "source": [
    "####  RF regressor metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "id": "yXnfj_6tYnk4",
    "outputId": "7476db98-05eb-4d83-f391-195808699ba7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 1.2675566289297997\n",
      "Mean Squared Error: 6.979964411682041\n",
      "Root Mean Squared Error: 2.6419622275274945\n",
      "Mean Absolute Percentage Error (MAPE): 90.12\n",
      "Accuracy: 9.88\n"
     ]
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "\n",
    "print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred))\n",
    "print('Mean Squared Error:', metrics.mean_squared_error(y_test, y_pred))\n",
    "print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, y_pred)))\n",
    "\n",
    "mape = np.mean(np.abs((y_test - y_pred) / np.abs(y_test)))  # [1][1]\n",
    "print('Mean Absolute Percentage Error (MAPE):', round(mape * 100, 2))\n",
    "print('Accuracy:', round(100*(1 - mape), 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3Pisbyn2Ynk4"
   },
   "source": [
    "####  RF regressor predictions vs. observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "U3Uz4vD8Ynk4",
    "outputId": "c18de1b9-cdb5-49b2-b836-66629d17aca4"
   },
   "outputs": [],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {
    "id": "HygYpUZJYnk4",
    "outputId": "7cc80f16-27a5-4f00-8e7e-59cbc9bafd1e"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y_test</th>\n",
       "      <th>y_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>586 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     y_test  y_pred\n",
       "0       0.6    0.75\n",
       "1       0.6    0.78\n",
       "2       0.6    0.78\n",
       "3       0.6    0.78\n",
       "4       0.6    0.74\n",
       "..      ...     ...\n",
       "581     0.6    0.81\n",
       "582     0.6    0.81\n",
       "583     0.6    0.80\n",
       "584     0.6    0.82\n",
       "585     0.6    0.81\n",
       "\n",
       "[586 rows x 2 columns]"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = pd.DataFrame()\n",
    "dataset['y_test'] = y_test.ravel()#.tolist.reshape(-1,1 )\n",
    "dataset['y_pred'] = y_pred #.tolist()\n",
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dSIYslNCYnk5"
   },
   "source": [
    "#### Predictionplot: lake data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {
    "id": "ZcE9Ra0hYnk5",
    "outputId": "0977b8ce-e9d8-458a-85bd-7dd86675f7fa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(586,) (586,)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 593,
       "width": 841
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "fig,ax= plt.subplots(1,1, figsize=(14,10),) #  sharex=True, sharey=True\n",
    "\n",
    "sns.scatterplot(x=dataset.y_test, y=dataset.y_pred , data= dataset, s=4, color=\"forestgreen\")\n",
    "#sns.scatterplot(x=y_mu_train, y=y_mu_test, data=y_mu_train, color=\"y\", ax=ax);\n",
    "\n",
    "ax.minorticks_on()\n",
    "ax.xaxis.grid(True, \"minor\", linewidth=.25)\n",
    "ax.yaxis.grid(True, \"minor\", linewidth=.25); \n",
    "\n",
    "print(y_pred.shape, y_test.shape )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
    "id": "2ycnByh7Ynk5",
    "outputId": "40660d08-86a3-4770-b9e8-a3e7ed1ac5c2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(np.sum(dataset.y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "o5DZhZfuYnk5",
    "outputId": "d9f8f3a7-48a9-4c3a-a877-911882d1f28e"
   },
   "outputs": [],
   "source": [
    "Lake_River.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ttayTPgPYnk6"
   },
   "source": [
    "### Prediction 2: water level Lake Bilancino\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "id": "noGOYaIqYnk6"
   },
   "outputs": [],
   "source": [
    "# Just take data last 10 years data...stops at 2018 \n",
    "wll= Lake_Bilancino[\"2005-03-26\":\"2020-06-16\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "id": "4S3Ekg-OYnk6",
    "outputId": "8860fa24-1095-403a-abe3-562cf02326b1"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Temperature_Le_Croci</th>\n",
       "      <th>Lake_Level</th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
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       "      <th>FreRain</th>\n",
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       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
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       "      <th>Peil</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>isDry</th>\n",
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       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Wet</th>\n",
       "      <th>flood_Si</th>\n",
       "      <th>Tetens</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-20</th>\n",
       "      <td>8.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>9.2</td>\n",
       "      <td>10.05</td>\n",
       "      <td>249.87</td>\n",
       "      <td>7.1</td>\n",
       "      <td>32.2</td>\n",
       "      <td>13.6</td>\n",
       "      <td>18.6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.6</td>\n",
       "      <td>0.09</td>\n",
       "      <td>3.52e+01</td>\n",
       "      <td>113.2</td>\n",
       "      <td>138.6</td>\n",
       "      <td>1283.4</td>\n",
       "      <td>6.34</td>\n",
       "      <td>613440.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.08e+06</td>\n",
       "      <td>664020.0</td>\n",
       "      <td>544000.0</td>\n",
       "      <td>7.30e+07</td>\n",
       "      <td>1.15e+08</td>\n",
       "      <td>6.87e+07</td>\n",
       "      <td>4.61e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>55.4</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.25</td>\n",
       "      <td>248.70</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.53e-14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>781.2</td>\n",
       "      <td>5.17</td>\n",
       "      <td>51840.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.13e+07</td>\n",
       "      <td>1.44e+08</td>\n",
       "      <td>1.37e+08</td>\n",
       "      <td>7.18e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0</td>\n",
       "      <td>1.02</td>\n",
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       "    <tr>\n",
       "      <th>2008-12-23</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>6.95</td>\n",
       "      <td>251.22</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>12</td>\n",
       "      <td>52</td>\n",
       "      <td>2008</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>6.2</td>\n",
       "      <td>191.0</td>\n",
       "      <td>1418.0</td>\n",
       "      <td>7.69</td>\n",
       "      <td>241920.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.15e+05</td>\n",
       "      <td>7140.0</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>7.28e+07</td>\n",
       "      <td>1.15e+08</td>\n",
       "      <td>4.70e+07</td>\n",
       "      <td>6.84e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_S_Piero  Rainfall_Mangona  Rainfall_S_Agata  \\\n",
       "Date                                                               \n",
       "2018-01-20               8.0               2.8               5.6   \n",
       "2013-12-18               0.0               0.0               0.0   \n",
       "2008-12-23               0.6               0.0               0.4   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Temperature_Le_Croci  \\\n",
       "Date                                                                      \n",
       "2018-01-20                 6.6                9.2                 10.05   \n",
       "2013-12-18                 0.0                0.0                  7.25   \n",
       "2008-12-23                 0.0                0.2                  6.95   \n",
       "\n",
       "            Lake_Level  Flow_Rate  Rainfall  RainNO_2  RainNO_3  month  week  \\\n",
       "Date                                                                           \n",
       "2018-01-20      249.87        7.1      32.2      13.6      18.6      1     3   \n",
       "2013-12-18      248.70        0.6       0.0       0.0       0.0     12    51   \n",
       "2008-12-23      251.22        2.8       1.2       1.0       0.2     12    52   \n",
       "\n",
       "            year  FreRain  StoRain  Lev_1    Rain_3  Rain_7  Rain_14  Rain_72  \\\n",
       "Date                                                                            \n",
       "2018-01-20  2018      NaN     18.6   0.09  3.52e+01   113.2    138.6   1283.4   \n",
       "2013-12-18  2013      NaN      0.0   0.00  8.53e-14     1.0      2.2    781.2   \n",
       "2008-12-23  2008      NaN      0.2   0.00  4.00e-01     6.2    191.0   1418.0   \n",
       "\n",
       "            Peil  Flow_Rday  isDry      R_m³  R_NO_3_m³  R_NO_2_m³  \\\n",
       "Date                                                                 \n",
       "2018-01-20  6.34   613440.0    NaN  3.08e+06   664020.0   544000.0   \n",
       "2013-12-18  5.17    51840.0   21.0  0.00e+00        0.0        0.0   \n",
       "2008-12-23  7.69   241920.0   13.0  1.15e+05     7140.0    40000.0   \n",
       "\n",
       "            R_NO_2_m3cumul  R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  \\\n",
       "Date                                                                     \n",
       "2018-01-20        7.30e+07        1.15e+08        6.87e+07    4.61e+07   \n",
       "2013-12-18        8.13e+07        1.44e+08        1.37e+08    7.18e+06   \n",
       "2008-12-23        7.28e+07        1.15e+08        4.70e+07    6.84e+07   \n",
       "\n",
       "            Dormant  Rainfall_5   Wet  flood_Si  Tetens  \n",
       "Date                                                     \n",
       "2018-01-20        1        55.4  2.00         0    1.23  \n",
       "2013-12-18        1         0.2  0.01         0    1.02  \n",
       "2008-12-23        1         0.8  0.01         0    1.00  "
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wll.sample(3) #head()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "wVyMIo76Ynk5",
    "outputId": "d220466c-6cec-42ee-edeb-e2fa0164154c"
   },
   "source": [
    "np.isnan(np.sum(wll))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6Z4X1zMkYnk6",
    "outputId": "0c04da5d-696f-4828-fc60-53aadaf64121"
   },
   "source": [
    "wll.dropna(inplace=True)  # ll is 5 rainfall summed, + approx + logars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MzSVmpw7Ynk6"
   },
   "source": [
    "#### Lake level "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {
    "id": "EFj8RNfZYnky",
    "outputId": "90e2f17b-7e5e-4406-af16-4e0b401f6f02"
   },
   "outputs": [
    {
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       "      <th>Rainfall_S_Piero</th>\n",
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       "      <th>2005-03-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
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       "      <td>42.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>91.8</td>\n",
       "      <td>422.6</td>\n",
       "      <td>5.18e+04</td>\n",
       "      <td>2.11e+05</td>\n",
       "      <td>5.71e+04</td>\n",
       "      <td>2.40e+04</td>\n",
       "      <td>1.00e+08</td>\n",
       "      <td>7.06e+07</td>\n",
       "      <td>2.98e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>45.8</td>\n",
       "      <td>1.51</td>\n",
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       "    <tr>\n",
       "      <th>2005-03-27</th>\n",
       "      <td>41.4</td>\n",
       "      <td>21.8</td>\n",
       "      <td>38.2</td>\n",
       "      <td>49.8</td>\n",
       "      <td>48.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>199.6</td>\n",
       "      <td>79.6</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>2005</td>\n",
       "      <td>139.6</td>\n",
       "      <td>165.8</td>\n",
       "      <td>166.6</td>\n",
       "      <td>541.8</td>\n",
       "      <td>5.18e+05</td>\n",
       "      <td>1.91e+07</td>\n",
       "      <td>4.28e+06</td>\n",
       "      <td>3.18e+06</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>7.07e+07</td>\n",
       "      <td>3.40e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>163.0</td>\n",
       "      <td>1.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>121.6</td>\n",
       "      <td>165.8</td>\n",
       "      <td>166.2</td>\n",
       "      <td>541.6</td>\n",
       "      <td>1.30e+06</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>7.16e+07</td>\n",
       "      <td>3.31e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-03-29</th>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>15.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>120.8</td>\n",
       "      <td>163.8</td>\n",
       "      <td>167.0</td>\n",
       "      <td>542.4</td>\n",
       "      <td>1.34e+06</td>\n",
       "      <td>1.34e+05</td>\n",
       "      <td>2.86e+04</td>\n",
       "      <td>2.40e+04</td>\n",
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       "      <td>7.29e+07</td>\n",
       "      <td>3.18e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>140.4</td>\n",
       "      <td>1.56</td>\n",
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       "    <tr>\n",
       "      <th>2005-03-30</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.7</td>\n",
       "      <td>0.2</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.8</td>\n",
       "      <td>162.8</td>\n",
       "      <td>167.0</td>\n",
       "      <td>542.4</td>\n",
       "      <td>1.10e+06</td>\n",
       "      <td>1.91e+04</td>\n",
       "      <td>0.00e+00</td>\n",
       "      <td>8.00e+03</td>\n",
       "      <td>1.05e+08</td>\n",
       "      <td>7.39e+07</td>\n",
       "      <td>3.08e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>122.4</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_S_Piero  Rainfall_Mangona  Rainfall_S_Agata  \\\n",
       "Date                                                               \n",
       "2005-03-26               0.0               1.2               0.6   \n",
       "2005-03-27              41.4              21.8              38.2   \n",
       "2005-03-28               0.0               0.0               0.0   \n",
       "2005-03-29               0.6               0.0               0.0   \n",
       "2005-03-30               0.2               0.0               0.0   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Flow_Rate  Rainfall  \\\n",
       "Date                                                                     \n",
       "2005-03-26                 0.2                0.2        0.6       2.2   \n",
       "2005-03-27                49.8               48.4        6.0     199.6   \n",
       "2005-03-28                 0.0                0.0       15.0       0.0   \n",
       "2005-03-29                 0.0                0.8       15.5       1.4   \n",
       "2005-03-30                 0.0                0.0       12.7       0.2   \n",
       "\n",
       "            RainNO_2  RainNO_3  month  week  year  Rain_3  Rain_7  Rain_14  \\\n",
       "Date                                                                         \n",
       "2005-03-26       0.6       1.6      3    12  2005    42.0    46.0     91.8   \n",
       "2005-03-27      79.6     120.0      3    12  2005   139.6   165.8    166.6   \n",
       "2005-03-28       0.0       0.0      3    13  2005   121.6   165.8    166.2   \n",
       "2005-03-29       0.6       0.8      3    13  2005   120.8   163.8    167.0   \n",
       "2005-03-30       0.2       0.0      3    13  2005     0.8   162.8    167.0   \n",
       "\n",
       "            Rain_72  Flow_Rday      R_m³  R_NO_3_m³  R_NO_2_m³  \\\n",
       "Date                                                             \n",
       "2005-03-26    422.6   5.18e+04  2.11e+05   5.71e+04   2.40e+04   \n",
       "2005-03-27    541.8   5.18e+05  1.91e+07   4.28e+06   3.18e+06   \n",
       "2005-03-28    541.6   1.30e+06  0.00e+00   0.00e+00   0.00e+00   \n",
       "2005-03-29    542.4   1.34e+06  1.34e+05   2.86e+04   2.40e+04   \n",
       "2005-03-30    542.4   1.10e+06  1.91e+04   0.00e+00   8.00e+03   \n",
       "\n",
       "            R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  Dormant  Rainfall_5  \\\n",
       "Date                                                                          \n",
       "2005-03-26        1.00e+08        7.06e+07    2.98e+07        1        45.8   \n",
       "2005-03-27        1.05e+08        7.07e+07    3.40e+07        1       163.0   \n",
       "2005-03-28        1.05e+08        7.16e+07    3.31e+07        1       162.0   \n",
       "2005-03-29        1.05e+08        7.29e+07    3.18e+07        1       140.4   \n",
       "2005-03-30        1.05e+08        7.39e+07    3.08e+07        1       122.4   \n",
       "\n",
       "            Tetens  \n",
       "Date                \n",
       "2005-03-26    1.51  \n",
       "2005-03-27    1.60  \n",
       "2005-03-28    1.32  \n",
       "2005-03-29    1.56  \n",
       "2005-03-30    1.32  "
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Lake_Level= wll.loc[:,\"Lake_Level\"]\n",
    "wlld= wll.drop(columns=['Rainfall_S_Piero','Rainfall_Mangona','Rainfall_S_Agata','Rainfall_Cavallina','Rainfall_Le_Croci',\"Lake_Level\",\"Lev_1\",\"Peil\",\"FreRain\", \n",
    "                        \"StoRain\", 'flood_Si', 'isDry','R_NO_2_m3cumul','Wet','Temperature_Le_Croci','R_m³', 'R_NO_3_m³','R_NO_2_m³'], axis=1) #\n",
    "wlld.head()                              #\"HG08\","
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "id": "qhpT8uvwYnk6",
    "outputId": "caa47acd-1e1c-4af8-c052-bebc3c4c3e12"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rainfall_S_Piero</th>\n",
       "      <th>Rainfall_Mangona</th>\n",
       "      <th>Rainfall_S_Agata</th>\n",
       "      <th>Rainfall_Cavallina</th>\n",
       "      <th>Rainfall_Le_Croci</th>\n",
       "      <th>Flow_Rate</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>RainNO_2</th>\n",
       "      <th>RainNO_3</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>Rain_3</th>\n",
       "      <th>Rain_7</th>\n",
       "      <th>Rain_14</th>\n",
       "      <th>Rain_72</th>\n",
       "      <th>Flow_Rday</th>\n",
       "      <th>R_m³</th>\n",
       "      <th>R_NO_3_m³</th>\n",
       "      <th>R_NO_2_m³</th>\n",
       "      <th>R_NO_3_m3cumul</th>\n",
       "      <th>Flow_Rdaycumul</th>\n",
       "      <th>balance_m³</th>\n",
       "      <th>Dormant</th>\n",
       "      <th>Rainfall_5</th>\n",
       "      <th>Tetens</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-03-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>2011</td>\n",
       "      <td>1.08e+02</td>\n",
       "      <td>1.20e+02</td>\n",
       "      <td>1.51e+02</td>\n",
       "      <td>788.8</td>\n",
       "      <td>656640.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.59e+08</td>\n",
       "      <td>1.36e+08</td>\n",
       "      <td>2.39e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.20e+02</td>\n",
       "      <td>1.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>2016</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>610.4</td>\n",
       "      <td>86400.0</td>\n",
       "      <td>57420.0</td>\n",
       "      <td>14280.0</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>1.26e+08</td>\n",
       "      <td>8.20e+07</td>\n",
       "      <td>4.45e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>4.00e-01</td>\n",
       "      <td>3.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.14e-13</td>\n",
       "      <td>-4.26e-14</td>\n",
       "      <td>1.14e-13</td>\n",
       "      <td>377.4</td>\n",
       "      <td>129600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.25e+08</td>\n",
       "      <td>7.17e+07</td>\n",
       "      <td>5.36e+07</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.84e-14</td>\n",
       "      <td>2.91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rainfall_S_Piero  Rainfall_Mangona  Rainfall_S_Agata  \\\n",
       "Date                                                               \n",
       "2011-03-30               0.0               0.0               0.0   \n",
       "2016-07-05               0.0               0.0               0.2   \n",
       "2015-07-11               0.0               0.0               0.0   \n",
       "\n",
       "            Rainfall_Cavallina  Rainfall_Le_Croci  Flow_Rate  Rainfall  \\\n",
       "Date                                                                     \n",
       "2011-03-30                 0.0                0.0        7.6       0.0   \n",
       "2016-07-05                 0.0                0.4        1.0       0.6   \n",
       "2015-07-11                 0.0                0.0        1.5       0.0   \n",
       "\n",
       "            RainNO_2  RainNO_3  month  week  year    Rain_3    Rain_7  \\\n",
       "Date                                                                    \n",
       "2011-03-30       0.0       0.0      3    13  2011  1.08e+02  1.20e+02   \n",
       "2016-07-05       0.2       0.4      7    27  2016  4.00e-01  4.00e-01   \n",
       "2015-07-11       0.0       0.0      7    28  2015  1.14e-13 -4.26e-14   \n",
       "\n",
       "             Rain_14  Rain_72  Flow_Rday     R_m³  R_NO_3_m³  R_NO_2_m³  \\\n",
       "Date                                                                      \n",
       "2011-03-30  1.51e+02    788.8   656640.0      0.0        0.0        0.0   \n",
       "2016-07-05  4.00e-01    610.4    86400.0  57420.0    14280.0     8000.0   \n",
       "2015-07-11  1.14e-13    377.4   129600.0      0.0        0.0        0.0   \n",
       "\n",
       "            R_NO_3_m3cumul  Flow_Rdaycumul  balance_m³  Dormant  Rainfall_5  \\\n",
       "Date                                                                          \n",
       "2011-03-30        1.59e+08        1.36e+08    2.39e+07        1    1.20e+02   \n",
       "2016-07-05        1.26e+08        8.20e+07    4.45e+07        0    4.00e-01   \n",
       "2015-07-11        1.25e+08        7.17e+07    5.36e+07        0   -2.84e-14   \n",
       "\n",
       "            Tetens  \n",
       "Date                \n",
       "2011-03-30    1.48  \n",
       "2016-07-05    3.26  \n",
       "2015-07-11    2.91  "
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wlld.sample(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {
    "id": "8oy0oDT3Ynk6"
   },
   "outputs": [],
   "source": [
    "wlld.dropna(inplace=True)  # ll is 5 rainfall summed, + approx + logars\n",
    "Lake_Level.dropna(inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {
    "id": "y7Xh2Fk0Ynk7",
    "outputId": "7a7874bb-abe6-414f-c795-400a5648ecad"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5562,) (5562, 26)\n"
     ]
    }
   ],
   "source": [
    "print(Lake_Level.shape, wlld.shape )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "y1vf5mSPYnk7"
   },
   "source": [
    "Lake_Level.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BnQVm_CtYnk7"
   },
   "source": [
    "Lake_Level.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "id": "GQ6g8yP5Ynk7"
   },
   "outputs": [],
   "source": [
    "X= wlld"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {
    "id": "ChdQu2wfYnk7"
   },
   "outputs": [],
   "source": [
    "y=Lake_Level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "id": "wo3f6nw-Ynk7"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "#from sklearn.feature_selection import SelectFromModel\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "X_train,X_test, y_train,y_test= train_test_split(X ,y, random_state=1100, test_size=0.102,shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {
    "id": "xFselYneYnk7",
    "outputId": "cb84506e-db6e-4ca3-c242-d6d7e6cb9217"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2020-06-07    250.99\n",
       "2020-06-08    250.98\n",
       "2020-06-09    250.97\n",
       "2020-06-10    250.96\n",
       "2020-06-11    250.95\n",
       "2020-06-12    250.94\n",
       "2020-06-13    250.94\n",
       "2020-06-14    250.93\n",
       "2020-06-15    250.92\n",
       "2020-06-16    250.92\n",
       "Name: Lake_Level, dtype: float64"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.tail(10)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "wa4iuEayYnk8",
    "outputId": "5d2b09da-7faa-4a16-ce94-71de89a3f758"
   },
   "source": [
    "type(X_test)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "zOS9589uYnk8",
    "outputId": "95d57eff-75e4-460c-bc88-edb7450f94b6"
   },
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "fxOluthkYnk8"
   },
   "source": [
    "X_train = X_train.values.reshape(-1,1)\n",
    "X_test = X_test.values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {
    "id": "x6GFIe2_Ynk8",
    "outputId": "8570758b-a9e5-4720-9c8c-fd590f950c6e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4994, 26) (4994,) (568, 26) (568,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape, y_train.shape, X_test.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {
    "id": "N32W2QZjYnk8"
   },
   "outputs": [],
   "source": [
    "#from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.ensemble import ExtraTreesRegressor\n",
    "#from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn import preprocessing\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "sc = StandardScaler()\n",
    "X_train = sc.fit_transform(X_train)\n",
    "X_test = sc.transform(X_test)\n",
    "\n",
    "#GBr = GradientBoostingRegressor(random_state=100)\n",
    "RFr = ExtraTreesRegressor(random_state=1100, n_jobs=3, n_estimators=14300,bootstrap=True,verbose=1,criterion=\"mse\",ccp_alpha=0.001)#\"mae\"max_features=\"auto\" log"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wF_q-oRFYnk8",
    "outputId": "a2052b89-d6cf-4e2a-ece8-592d6da0dfdb"
   },
   "outputs": [],
   "source": [
    "type(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "1lCXL6fuYnk8",
    "outputId": "7363eca5-32b5-413f-e96d-a972309f24be"
   },
   "outputs": [],
   "source": [
    "type(y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "MTen8FJFYnk9"
   },
   "outputs": [],
   "source": [
    "X_train[:5,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "f8wkp_4tYnk9"
   },
   "outputs": [],
   "source": [
    "X_test[:5,:] #.tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {
    "id": "Yimf7Vo1Ynk9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    2.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:   10.7s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:   21.1s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:   34.5s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:   54.0s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:  1.3min\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:  1.7min\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:  2.1min\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:  2.7min\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:  3.2min\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:  3.8min\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:  4.4min\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:  4.9min\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:  5.5min\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:  6.2min\n",
      "[Parallel(n_jobs=3)]: Done 12794 tasks      | elapsed:  6.9min\n",
      "[Parallel(n_jobs=3)]: Done 14300 out of 14300 | elapsed:  7.5min finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor(bootstrap=True, ccp_alpha=0.001, n_estimators=14300,\n",
       "                    n_jobs=3, random_state=1100, verbose=1)"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr.fit(X_train, y_train.values.ravel()) #.ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {
    "id": "gPVJ8z_uYnk9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature 9 (0.253891)\n",
      "2. feature 10 (0.227542)\n",
      "3. feature 20 (0.204143)\n",
      "4. feature 15 (0.077789)\n",
      "5. feature 11 (0.068971)\n",
      "6. feature 21 (0.042857)\n",
      "7. feature 5 (0.030979)\n",
      "8. feature 16 (0.030613)\n",
      "9. feature 22 (0.029913)\n",
      "10. feature 23 (0.019147)\n",
      "11. feature 25 (0.007003)\n",
      "12. feature 14 (0.003954)\n",
      "13. feature 13 (0.001207)\n",
      "14. feature 24 (0.000672)\n",
      "15. feature 12 (0.000337)\n",
      "16. feature 1 (0.000128)\n",
      "17. feature 0 (0.000097)\n",
      "18. feature 3 (0.000090)\n",
      "19. feature 18 (0.000088)\n",
      "20. feature 8 (0.000086)\n",
      "21. feature 19 (0.000086)\n",
      "22. feature 6 (0.000085)\n",
      "23. feature 2 (0.000084)\n",
      "24. feature 7 (0.000081)\n",
      "25. feature 17 (0.000081)\n",
      "26. feature 4 (0.000077)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 373
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "importances = RFr.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in RFr.estimators_],\n",
    "             axis=0)\n",
    "indices = np.argsort(importances)[::-1]\n",
    "print(\"Feature ranking:\")\n",
    "\n",
    "for f in range(X.shape[1]):\n",
    "    print(\"%d. feature %d (%f)\" % (f + 1, indices[f], importances[indices[f]]))\n",
    "\n",
    "# Plot the feature importances of the forest\n",
    "plt.figure()\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X.shape[1]), importances[indices],\n",
    "       color=\"r\", yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X.shape[1]), indices)\n",
    "plt.xlim([-1, X.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {
    "id": "GPKGY6uHYnk9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0, 'Rainfall_S_Piero'), (1, 'Rainfall_Mangona'), (2, 'Rainfall_S_Agata'), (3, 'Rainfall_Cavallina'), (4, 'Rainfall_Le_Croci'), (5, 'Flow_Rate'), (6, 'Rainfall'), (7, 'RainNO_2'), (8, 'RainNO_3'), (9, 'month'), (10, 'week'), (11, 'year'), (12, 'Rain_3'), (13, 'Rain_7'), (14, 'Rain_14'), (15, 'Rain_72'), (16, 'Flow_Rday'), (17, 'R_m³'), (18, 'R_NO_3_m³'), (19, 'R_NO_2_m³'), (20, 'R_NO_3_m3cumul'), (21, 'Flow_Rdaycumul'), (22, 'balance_m³'), (23, 'Dormant'), (24, 'Rainfall_5'), (25, 'Tetens')]\n"
     ]
    }
   ],
   "source": [
    "wlldcolumns= list(wlld.columns); wlldcols=enumerate(wlldcolumns) ;  print (list(wlldcols))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "pcN-b4cOYnk9",
    "outputId": "25fad3b6-a56d-4fd4-eb72-10286895f1e5"
   },
   "outputs": [],
   "source": [
    "RFr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6YGivdl2Ynk9"
   },
   "source": [
    "### Return the coefficient of determination 𝑅2 of the prediction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "id": "LYfauG7PYnk-"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    0.3s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    0.4s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    0.5s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:    0.7s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:    0.9s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:    1.0s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=3)]: Done 12794 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=3)]: Done 14300 out of 14300 | elapsed:    1.6s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.3793122623718439"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RFr.score(X_test, y_test) # "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {
    "id": "pl4K_C_nYnk-"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=3)]: Using backend ThreadingBackend with 3 concurrent workers.\n",
      "[Parallel(n_jobs=3)]: Done  44 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 194 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 444 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 794 tasks      | elapsed:    0.0s\n",
      "[Parallel(n_jobs=3)]: Done 1244 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 1794 tasks      | elapsed:    0.1s\n",
      "[Parallel(n_jobs=3)]: Done 2444 tasks      | elapsed:    0.2s\n",
      "[Parallel(n_jobs=3)]: Done 3194 tasks      | elapsed:    0.3s\n",
      "[Parallel(n_jobs=3)]: Done 4044 tasks      | elapsed:    0.4s\n",
      "[Parallel(n_jobs=3)]: Done 4994 tasks      | elapsed:    0.5s\n",
      "[Parallel(n_jobs=3)]: Done 6044 tasks      | elapsed:    0.6s\n",
      "[Parallel(n_jobs=3)]: Done 7194 tasks      | elapsed:    0.7s\n",
      "[Parallel(n_jobs=3)]: Done 8444 tasks      | elapsed:    0.9s\n",
      "[Parallel(n_jobs=3)]: Done 9794 tasks      | elapsed:    1.0s\n",
      "[Parallel(n_jobs=3)]: Done 11244 tasks      | elapsed:    1.2s\n",
      "[Parallel(n_jobs=3)]: Done 12794 tasks      | elapsed:    1.4s\n",
      "[Parallel(n_jobs=3)]: Done 14300 out of 14300 | elapsed:    1.5s finished\n"
     ]
    }
   ],
   "source": [
    "y_pred = RFr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {
    "id": "tRxsjSGCYnk-"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(568,)"
      ]
     },
     "execution_count": 245,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "8p8OQmuHYnk-",
    "outputId": "1c141cd7-5b05-4597-eae3-dcf417605af6"
   },
   "source": [
    "print(y_test)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "f3knpWVpYnk-",
    "outputId": "4eebda6e-4197-4d0b-e91a-17d0a6704a3a"
   },
   "source": [
    "print(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {
    "id": "RVdOiBovYnk_"
   },
   "outputs": [],
   "source": [
    "y_test = y_test.values.ravel() #values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "g41DGbWNYnk_",
    "outputId": "40be900e-5ced-4587-94be-c5a7cad57001"
   },
   "outputs": [],
   "source": [
    "print(y_test, type(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {
    "id": "mZhoXf31Ynk_",
    "outputId": "80c4365f-0a58-4b82-e4b1-0d7bd1062c14"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[246.56 246.52 246.54 ... 251.66 251.64 251.63] <class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "print(y_pred, type(y_pred))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "id": "q4O7K8ktYnk_"
   },
   "source": [
    "y_pred = y_pred.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "YEA031A9YnlA"
   },
   "outputs": [],
   "source": [
    "print(y_pred, type(y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mL9EOHfzYnlA"
   },
   "source": [
    "###  RF regressor metrics\n",
    "[metrics.mean_absolute_percentage_error](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html#sklearn.metrics.mean_absolute_percentage_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {
    "id": "bTh4LAmPYnlA"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 1.0322161230030207\n",
      "Mean Squared Error: 1.4333016259341367\n",
      "Root Mean Squared Error: 1.1972057575597173\n",
      "Mean Absolute Percentage Error (MAPE): 0.41\n",
      "Accuracy: 99.59\n"
     ]
    }
   ],
   "source": [
    "from sklearn import metrics # sklearn.metrics \n",
    "#from sklearn.metrics  import mean_absolute_percentage_error #(y_true, y_pred, sample_weight=None, multioutput='uniform_average')\n",
    "print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred))\n",
    "print('Mean Squared Error:', metrics.mean_squared_error(y_test, y_pred))\n",
    "print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test, y_pred)))\n",
    "\n",
    "mape = np.mean(np.abs((y_test - y_pred) / np.abs(y_test)))  # [1][1]\n",
    "print('Mean Absolute Percentage Error (MAPE):', round(mape * 100, 2))\n",
    "#mape2 = mean_absolute_percentage_error(y_test , y_pred)\n",
    "print('Accuracy:', round(100*(1 - mape), 2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9x93yWqmYnlA"
   },
   "source": [
    "####  RF regressor predictions vs. observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {
    "id": "1HJuszA8YnlA"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([246.36, 246.32, 246.32, ..., 250.93, 250.92, 250.92])"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {
    "id": "koaZp5voYnlA"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>y_test</th>\n",
       "      <th>y_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>246.36</td>\n",
       "      <td>246.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>246.32</td>\n",
       "      <td>246.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>246.32</td>\n",
       "      <td>246.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>246.32</td>\n",
       "      <td>246.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>246.33</td>\n",
       "      <td>247.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>250.94</td>\n",
       "      <td>251.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>250.94</td>\n",
       "      <td>251.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>250.93</td>\n",
       "      <td>251.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>250.92</td>\n",
       "      <td>251.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>250.92</td>\n",
       "      <td>251.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>568 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     y_test  y_pred\n",
       "0    246.36  246.56\n",
       "1    246.32  246.52\n",
       "2    246.32  246.54\n",
       "3    246.32  246.54\n",
       "4    246.33  247.21\n",
       "..      ...     ...\n",
       "563  250.94  251.66\n",
       "564  250.94  251.66\n",
       "565  250.93  251.66\n",
       "566  250.92  251.64\n",
       "567  250.92  251.63\n",
       "\n",
       "[568 rows x 2 columns]"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = pd.DataFrame()\n",
    "dataset['y_test'] = y_test.ravel()#.tolist.reshape(-1,1 )\n",
    "dataset['y_pred'] = y_pred #.tolist()\n",
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jmmcjIiBYnlA"
   },
   "source": [
    "### Predictionplot: lake flow rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {
    "id": "qaJpn3FHYnlB"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(568,) (568,)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 593,
       "width": 838
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_theme(style=\"darkgrid\")\n",
    "fig,ax= plt.subplots(1,1, figsize=(14,10),) # \n",
    "\n",
    "sns.scatterplot(x=dataset.y_test, y=dataset.y_pred , data= dataset, s=4, color=\"forestgreen\")\n",
    "#sns.scatterplot(x=y_mu_train, y=y_mu_test, data=y_mu_train, color=\"y\", ax=ax);\n",
    "\n",
    "ax.minorticks_on()\n",
    "ax.xaxis.grid(True, \"minor\", linewidth=.25)\n",
    "ax.yaxis.grid(True, \"minor\", linewidth=.25); \n",
    "print(y_pred.shape, y_test.shape )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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