{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6204c40e",
   "metadata": {},
   "source": [
    "# Identifying key milestones\n",
    "\n",
    "This section aims to reproduce the `key splitting milestone identification` approach\n",
    "presented in the work of Hlosta et al. {cite}`hlosta_kocvara_Zdrahal_2019`\n",
    "\n",
    "**Keywords**: Identifying at-risk students\n",
    "\n",
    "The approach of Hlosta et al. aims to detect points in time where the paths of\n",
    "successful and unsuccessful students start to split.\n",
    "\n",
    "**Procedure:**\n",
    "\n",
    "1. Define key performance metrics for students\n",
    "   (e.g., number of clicks, assessment scores) and model them as a time series for\n",
    "   each student. (e.g., the\n",
    "   [cumulative number of clicks](#cumulative-number-of-clicks),\n",
    "   cumulative assessment scores,\n",
    "   [cumulative weighted assessments scores](#cumulative-weighted-assessments-scores))\n",
    "2. Perform statistical tests (e.g., Unpaired t-test, Wilcoxon Rank Sum Test) in each\n",
    "   time slice between different groups of students.\n",
    "   (e.g., failing student group, succeeding student group)\n",
    "3. Compute the splitting value in each time slice that minimizes the split error.\n",
    "   (i.e., that maximizes prediction accuracy)\n",
    "4. Plot the time-series graph showing at which time slice the first statistically\n",
    "   significant difference was detected and the split values.\n",
    "\n",
    "```{bibliography}\n",
    ":filter: docname in docnames\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bf08fd33",
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import combinations\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from IPython.display import display\n",
    "from scipy.stats import levene, norm, probplot, ranksums, shapiro\n",
    "\n",
    "from oulad import get_oulad\n",
    "\n",
    "%load_ext oulad.capture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0fc06c1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture oulad\n",
    "oulad = get_oulad()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbf1be6f",
   "metadata": {},
   "source": [
    "## Cumulative weighted assessments scores\n",
    "\n",
    "We use the weighted assessment score for the key performance metric, in this example.\n",
    "\n",
    "### Step 1: Model the metric as a time series for each student\n",
    "\n",
    "As in the work of Hlosta et al. we will use the `EEE/2014J` course.\n",
    "\n",
    "```{note}\n",
    "During merging, we loose 253 students that didn't submit any assessments.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b785de6b",
   "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></th>\n",
       "      <th>33.0</th>\n",
       "      <th>68.0</th>\n",
       "      <th>131.0</th>\n",
       "      <th>166.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_student</th>\n",
       "      <th>final_result</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47061</th>\n",
       "      <th>Pass</th>\n",
       "      <td>11.68</td>\n",
       "      <td>37.16</td>\n",
       "      <td>53.96</td>\n",
       "      <td>70.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60809</th>\n",
       "      <th>Pass</th>\n",
       "      <td>14.56</td>\n",
       "      <td>36.40</td>\n",
       "      <td>60.48</td>\n",
       "      <td>86.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62034</th>\n",
       "      <th>Pass</th>\n",
       "      <td>14.56</td>\n",
       "      <td>38.08</td>\n",
       "      <td>55.72</td>\n",
       "      <td>55.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67539</th>\n",
       "      <th>Pass</th>\n",
       "      <td>12.00</td>\n",
       "      <td>33.84</td>\n",
       "      <td>48.40</td>\n",
       "      <td>64.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67685</th>\n",
       "      <th>Pass</th>\n",
       "      <td>12.00</td>\n",
       "      <td>35.52</td>\n",
       "      <td>57.36</td>\n",
       "      <td>81.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2654928</th>\n",
       "      <th>Pass</th>\n",
       "      <td>14.56</td>\n",
       "      <td>38.36</td>\n",
       "      <td>61.60</td>\n",
       "      <td>83.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2663195</th>\n",
       "      <th>Pass</th>\n",
       "      <td>14.56</td>\n",
       "      <td>38.36</td>\n",
       "      <td>61.88</td>\n",
       "      <td>84.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2681277</th>\n",
       "      <th>Withdrawn</th>\n",
       "      <td>15.20</td>\n",
       "      <td>15.20</td>\n",
       "      <td>15.20</td>\n",
       "      <td>15.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2686053</th>\n",
       "      <th>Distinction</th>\n",
       "      <td>13.76</td>\n",
       "      <td>38.12</td>\n",
       "      <td>63.04</td>\n",
       "      <td>87.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2686712</th>\n",
       "      <th>Fail</th>\n",
       "      <td>16.00</td>\n",
       "      <td>42.32</td>\n",
       "      <td>42.32</td>\n",
       "      <td>42.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>935 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          33.0   68.0  131.0  166.0\n",
       "id_student final_result                            \n",
       "47061      Pass          11.68  37.16  53.96  70.20\n",
       "60809      Pass          14.56  36.40  60.48  86.80\n",
       "62034      Pass          14.56  38.08  55.72  55.72\n",
       "67539      Pass          12.00  33.84  48.40  64.92\n",
       "67685      Pass          12.00  35.52  57.36  81.72\n",
       "...                        ...    ...    ...    ...\n",
       "2654928    Pass          14.56  38.36  61.60  83.72\n",
       "2663195    Pass          14.56  38.36  61.88  84.00\n",
       "2681277    Withdrawn     15.20  15.20  15.20  15.20\n",
       "2686053    Distinction   13.76  38.12  63.04  87.12\n",
       "2686712    Fail          16.00  42.32  42.32  42.32\n",
       "\n",
       "[935 rows x 4 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cumulative_weighted_assessment_score = (\n",
    "    oulad.student_registration[\n",
    "        (oulad.student_registration.code_module == \"EEE\")\n",
    "        & (oulad.student_registration.code_presentation == \"2014J\")\n",
    "    ][[\"id_student\"]]\n",
    "    .merge(\n",
    "        oulad.student_assessment.drop([\"date_submitted\", \"is_banked\"], axis=1),\n",
    "        how=\"inner\",\n",
    "        on=\"id_student\",\n",
    "    )\n",
    "    .merge(\n",
    "        oulad.assessments[\n",
    "            (oulad.assessments.code_module == \"EEE\")\n",
    "            & (oulad.assessments.code_presentation == \"2014J\")\n",
    "        ],\n",
    "        how=\"inner\",\n",
    "        on=\"id_assessment\",\n",
    "    )\n",
    "    .assign(weighted_score=lambda x: x[\"score\"] * x[\"weight\"] / 100)[\n",
    "        [\"date\", \"id_student\", \"weighted_score\"]\n",
    "    ]\n",
    "    .pivot(index=\"date\", columns=\"id_student\", values=\"weighted_score\")\n",
    "    .fillna(0)\n",
    "    .cumsum()\n",
    "    .T.join(\n",
    "        oulad.student_info[\n",
    "            (oulad.student_info.code_module == \"EEE\")\n",
    "            & (oulad.student_info.code_presentation == \"2014J\")\n",
    "        ][[\"id_student\", \"final_result\"]].set_index(\"id_student\")\n",
    "    )\n",
    "    .set_index(\"final_result\", append=True)\n",
    ")\n",
    "\n",
    "unstacked_cumulative_weighted_assessment_score = (\n",
    "    cumulative_weighted_assessment_score.unstack()\n",
    ")\n",
    "\n",
    "display(cumulative_weighted_assessment_score)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa7cbfdf",
   "metadata": {},
   "source": [
    "### Step 2: Perform statistical tests\n",
    "\n",
    "Let's first check whether we can use the Unpaired t-test.\n",
    "\n",
    "#### Unpaired t-test\n",
    "\n",
    "##### Assumptions\n",
    "\n",
    "```{admonition} Spoilers\n",
    "Assumptions fail for the t-test. We can skip to the [Wilcoxon rank-sum test](\n",
    "#wilcoxon-rank-sum-test).\n",
    "```\n",
    "\n",
    "1. **Independence of the observations**\n",
    "   - [X] Each student belongs to only one group (Distinction, Pass, Fail, Withdrawn).\n",
    "   - [X] There is no relationship between students in each group. (We assume that the\n",
    "         `final_result` of a student does not depend on the `final_result` of other\n",
    "         students)\n",
    "2. **Absence of outliers** (see [box plot](#detecting-outliers-visually) and [outlier\n",
    "   count](#detecting-extreme-outliers-statistically) below)\n",
    "3. **Normality** (each group should be normally distributed, see [Shapiro-Wilk test](\n",
    "   #examine-normality-with-the-shapiro-wilk-test) below)\n",
    "4. **Homoscedasticity** (homogeneity of variances - the variance within the groups\n",
    "   should be similar, see\n",
    "   [Levene test](#verifying-equal-variances-with-the-levene-test) below)\n",
    "\n",
    "###### **Detecting outliers visually**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c3cfd322",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1400x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cumulative_weighted_assessment_score.boxplot(by=\"final_result\", figsize=(14, 12))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8320e64d",
   "metadata": {},
   "source": [
    "We can see quite a few outliers, notably in the `Pass` student group.\n",
    "\n",
    "###### **Detecting extreme outliers statistically**\n",
    "\n",
    "Let's verify whether there are any extreme outliers (above `Q3 + 3xIQR` or below\n",
    "`Q1 - 3xIQR`).\n",
    "\n",
    "A quick reminder:\n",
    " - **Q1** is the first quantile = the value that is greater than 25% of the data\n",
    " - **Q3** is the third quantile = the value that is greater than 75% of the data\n",
    " - **IQR** is the **Interquartile Range** = Q3 - Q1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6fc993e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of extreme outliers (N=21) represents 0.56% of the dataset (N=3740)\n"
     ]
    }
   ],
   "source": [
    "extremes = (\n",
    "    unstacked_cumulative_weighted_assessment_score.quantile([0.25, 0.75])\n",
    "    .T.assign(IQR=lambda x: x[0.75] - x[0.25])\n",
    "    .assign(\n",
    "        lower_extreme=lambda x: x[0.25] - 3 * x[\"IQR\"],\n",
    "        upper_extreme=lambda x: x[0.75] + 3 * x[\"IQR\"],\n",
    "    )[[\"lower_extreme\", \"upper_extreme\"]]\n",
    ")\n",
    "\n",
    "bigger = unstacked_cumulative_weighted_assessment_score > extremes.upper_extreme\n",
    "smaller = unstacked_cumulative_weighted_assessment_score < extremes.lower_extreme\n",
    "total = bigger.sum().sum() + smaller.sum().sum()\n",
    "\n",
    "print(\n",
    "    f\"The number of extreme outliers (N={total}) represents \"\n",
    "    f\"{100 * total / cumulative_weighted_assessment_score.count().sum():.2f}\"\n",
    "    f\"% of the dataset (N={cumulative_weighted_assessment_score.count().sum()})\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8029cf8",
   "metadata": {},
   "source": [
    "We suspect that the number of outliers might bias the test.\n",
    "However, as their proportion is relatively small (0.56%) and the dataset is quite\n",
    "large (3740), we assume that the impact of the bias will be limited.\n",
    "\n",
    "###### **Examine normality visually**\n",
    "\n",
    "Let's plot a histogram to inspect the distribution visually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b9e8175b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for arr in cumulative_weighted_assessment_score.hist(figsize=(12, 6)):\n",
    "    for ax in arr:\n",
    "        scores = cumulative_weighted_assessment_score[float(ax.title.get_text())]\n",
    "        ax = ax.twinx()\n",
    "        scores.plot(kind=\"kde\", legend=False, ax=ax, color=\"red\")\n",
    "        ax.set_xlim(*scores.agg([\"min\", \"max\"]).values)\n",
    "        x = np.linspace(*ax.get_xlim(), 100)\n",
    "        y = norm.pdf(\n",
    "            x, **scores.agg([\"mean\", \"std\"]).set_axis([\"loc\", \"scale\"]).to_dict()\n",
    "        )\n",
    "        ax.plot(x, y, color=\"green\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ca933f4",
   "metadata": {},
   "source": [
    "We notice that the shape of the distribution (blue histogram / red density) is quite\n",
    "different from the normal bell curve (in green).\n",
    "\n",
    "Another option might be to plot probability plots that show how much our\n",
    "distributions follow the normal distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a86ff518",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GLSIieZZlmSfxUVHmJyXJA/j7Q7duEBoKbduCt7fr4swF/ve//xEUFMSMGTPsbZUrV7b/2bIsJk6cyIsvvkjnzp0BmD17NmXLlmXx4sWEhYVdc03lcxERcZoDB+Cdd0whf/asaStd2oyuGzDA/NnFcvUw+yslJyczdOhQWrRoQd26dQE4fvw4Pj4+FCtWLM25ZcuW5fjx49e91tixY/H397f/BAUFOTN0ERHJSywLfvsNXnwRatSARo3grbdMIV+kCPTuDZ9/DidOwMcfQ0hIvi/kAT7//HMaNWpEz549KVOmDA0aNOCDDz6wH9+3bx/Hjx9P84De39+fpk2bsmHDhnSvqXwuIiIO9+OP5kF81aowYYIp5GvXhg8+MLl+5MhcUciDG/XMDxw4kO3bt/PDDz9k+1ojRowgIiLC/jouLk5fAERE5MZ27kztgf/jj9T2ggXhgQdM4r/vPvNarvHXX38xbdo0IiIieP7559m8eTODBw/Gx8eH8PBw+0P4slfNN7zRA3rlcxERcYikJPMgfvx4s6ZNiuBgiIgwD+Y9cl8/uFsU84MGDeLLL79kzZo1lC9f3t5erlw5EhMTiYmJSdM7f+LECcqVK3fd6/n6+uLr6+vMkEVEJC/466/UAv7K/WN9fKBDBzMH/oEHTI+83FBycjKNGjXi9ddfB6BBgwZs376d6dOnEx4enqVrKp+LiEi2nDsHM2bAxImwd69p8/aGhx6CYcOgXj2XhnczubqYtyyLZ555hkWLFrFq1ao0c+sAGjZsiLe3NytXrqR79+4A7Nq1i4MHD9KsWTNXhCwiIu7u0CGzgF1UFGzenNru5QX33GMK+M6dzZx4ybCAgADq1KmTpq127dp89tlnAPaH8CdOnCAgIMB+zokTJ6ifj1b8FxGRHHD0KEyaBO+9Z3aaASheHJ56ysyJDwx0bXwZlKuL+YEDBzJv3jyWLFlC0aJF7cPs/P39KViwIP7+/vTr14+IiAhKlCiBn58fzzzzDM2aNdNK9iIiknHHj8OCBaaAX7cutd3DA9q0MQV8165mVXrJkhYtWrBr1640bX/++ScVK1YEzGJ45cqVY+XKlfbiPS4ujk2bNjFgwICcDldERPKiX34xQ+k//RQuXTJtVauaXvi+faFwYZeGl1m5upifNm0aAK1bt07TPmPGDPr27QvAhAkT8PDwoHv37iQkJBASEsLUqVNzOFIREXE7f/8Nn31mCvhVq8zCdgA2G7RqZebAd++e43vG5lXDhg2jefPmvP766/Tq1Ysff/yR999/n/fffx8Am83G0KFDefXVV6levbp9a7rAwEC6dOni2uBFRMR9JSfDt9+aIn7lytT2Vq3MfPiOHd12y1ibZaV8e8m/4uLi8Pf3JzY2Fj8/P1eHIyIizvLPP7B4MURGmoSelJR67M47TQHfsyfccovLQswqd8hlX375JSNGjGD37t1UrlyZiIgInnjiCftxy7IYNWoU77//PjExMbRs2ZKpU6dSo0aNDF3fHX4HIiKSQy5ehDlzzIr0KQvXenpCjx6miG/SxLXx3UBG85mKeZT8RUTytLNnYckS0wO/dGnqsDqAO+4wBXyvXlCpkstCdATlMv0OREQEOHkSpk2DKVPg1CnTVrQoPPEEDB4M/07vys0yms9y9TB7ERGRLDl/Hr780hTwX39tns6nqFvXFPChoVC9uutiFBEREcf54w/TCz97NiQkmLYKFWDIEHj8cciDD3lVzIuISN5w8aKZExcVBV98YbabSVGjRmoBf+utrotRREREHMey4LvvzHz4r79ObW/cGIYPN2vfeOXdkjfvfjIREcn7EhNhxQpTwC9eDHFxqccqVTLFe1iY2SfWZnNVlCIiIuJIiYkm948fD9u2mTabzWwdO3w4tGiRL/K+inkREXEvly+b1eejosxq9Cn7w4JZuC6lB75x43yRyEVERPKNM2fg/ffNHvFHj5q2QoXg0Udh6FCoVs2l4eU0FfMiIpL7JSfDDz+YAn7hQrO4TYqyZc0K9KGh0Ly52RteRERE8o69e2HiRPj4Y7MuDkBAADzzDDz5JJQo4dLwXEXFvIiI5E6WBZs2mW3kFixIfQIPULKkmQcXGgp33+22+8OKiIjIdVgWrF8P48aZqXQpm7DdfrsZSh8WBj4+Lg3R1VTMi4hI7mFZ8NNPpgd+/nw4cCD1mL8/dO1qknfbtuDt7bo4RURExDkuX4boaFPE//hjanuHDqaIb9tW0+j+pWJeRERcy7Jg+3ZTwEdFwZ49qceKFIFOnUwBf++94OvrujhFRETEeeLi4KOP4J13Uh/m+/rCI4/AsGFQp45r48uFVMyLiIhr7NplivfISLM3bIqCBeGBB8wQ+vvuM69FREQkbzp4EN59Fz74IHVXmlKlYOBAGDDArI0j6VIxLyIiOWffvtQC/pdfUtt9fMzwudBQ6NjR9MiLiIhI3rVlixlKv2ABJCWZtlq1ICICHn5YD/MzQMW8iIg416FDJlFHRsLmzantXl5wzz2mgO/cGYoVc1mIIiIikgOSkuDLL00Rv3ZtanvbtqaI79BBu9Jkgop5ERFxvOPHTQEfFQXr1qW2e3hAmzamgO/WzaxKLyIiInnbuXMwaxZMmJC6No6XFzz4oJkP36CBa+NzUyrmRUTEMf7+Gz77zBTwq1ebveHBrDjbsqUp4Hv00Nw3ERGR/OLYMZg8GaZPhzNnTFuxYvDUUzBoENxyi0vDc3cq5kVEJOtiYmDRIlPAr1iROucNoGlTswp9z55K1iIiIvnJr7/C+PEwbx5cumTaqlSBoUPh0Ue1No6DqJgXEZHMOXsWPv/cFPDffpuapMEMkwsLg169oFIll4UoIiIiOcyyYOlSMx9+xYrU9hYtzHz4zp3B09N18eVBKuZFROTmzp+Hr74yBfxXX8HFi6nHbr01tYCvUcN1MYqIiEjOu3gR5s41PfE7dpg2Dw8ztS4iwozUE6dQMS8iIulLSDA975GR8MUXZvGaFDVqmDnwoaGmmBcREZH85dQpmDYNpkyBkydNW5Ei8PjjMGSIRujlABXzIiKS6tIlMzQuMhIWL4a4uNRjlSqlFvD165uF7URERCR/2bnTrEo/e3bqSL3y5U0B/8QT4O/v2vjyERXzIiL53eXLsGqVGUIfHZ262iyYhet69TLD6Bs3VgEvIiKSH1mW+a4wfrzZJz5Fw4YwfLgZUu/t7bLw8isV8yIi+VFyMvzwgyngFy5MHR4HZuu4nj1ND3zz5mbem4iIiOQ/ly6Z7wrjx8PPP5s2mw06djRFfKtWetDvQirmRUTyC8uCTZtMUp4/H44eTT1WooR5qh4aCnffrdVmRURE8rN//oEPPoB334UjR0xbwYLQt6/ZXk4L3uYKKuZFRPIyyzJP0qOizM+BA6nH/P2ha1dTwLdrp+FxIiIi+d1ff8E778BHH6UufFuuHAwaBE89BSVLujY+SUNjJ0VE8qLt2+Gll8yT84YN4c03TSFfuDA89BAsWQInTsCMGdC+vQp5cbrRo0djs9nS/NSqVct+/OLFiwwcOJCSJUtSpEgRunfvzokTJ1wYsYhIPrJ+vRmhV7266Y0/dw5uu818T9i/H154QYV8LqSeeRGRvGLXrtQe+JR9XgEKFIAHHjA98PfdB4UKuS5GydduvfVWVqxYYX/t5ZX6NWTYsGF89dVXLFiwAH9/fwYNGkS3bt1Yt26dK0IVEcn7Ll82O9eMGwcbN6a2h4SY+fDBwZoPn8upmBcRcWf79qUW8Nu2pbb7+Jge99BQs0hN0aIuC1EkhZeXF+XKlbumPTY2lo8++oh58+bRtm1bAGbMmEHt2rXZuHEjd955Z06HKiKSd509Cx9/DBMnml53MN8bHn4Yhg2DunVdGZ1kgop5ERF3c/iwWcAuKgp+/DG13cvLPEUPC4POnaFYMZeFKJKe3bt3ExgYSIECBWjWrBljx46lQoUKbN26lUuXLhEcHGw/t1atWlSoUIENGzZct5hPSEggISHB/jouLs7pn0FExG0dOgSTJsH770NsrGkrWRKefhoGDjS72YhbUTEvIuIOjh83W8hFRsKVw449PKBNG9MD362b5rNJrtW0aVNmzpxJzZo1OXbsGGPGjKFVq1Zs376d48eP4+PjQ7GrHkCVLVuW48ePX/eaY8eOZcyYMU6OXETEzf30kxlKP3++GVoPZk2diAh45BFNv3NjKuZFRHKrv/+G6GhTwK9ebfaGT9GqlSnge/Rw+pP0pCRYtQq++86MxrOsm7/HwwOCgsyOdzExpq1YsfT/XKIElCkDp0+bZxHp/bd0abOYLsDJk+b8m/05IMD8mgDWroVjx27c5ulpPmt67Vf/Pm52zs044hrupkOHDvY/33777TRt2pSKFSsyf/58ChYsmKVrjhgxgoiICPvruLg4goKCsh2riIjbS06Gr74yRfzq1antrVubIv7++02yFremYl5EJDeJiTGL0URGwooVpupL0bSpKeB79oTy5XMknOho6N/fFNTuKGWgwpXxp9dWvjw8+CB8+qmZxXBl+zvvmEEPYH4fQ4bc+JybccQ18oJixYpRo0YN9uzZwz333ENiYiIxMTFpeudPnDiR7hz7FL6+vvj6+uZAtCIibuL8eZg9GyZMgD//NG1eXub7w7BhZocbyTNUzIuIuNrZs/D552YO/NKlkJiYeqxBA5OAe/WCypXTfXtiotlFJjraFIgJCaaXt1Ahs+Pc+fPmPJvNtPn6pt7C19f8JCSk/rdAAXPehQtmpxp3lt5DiPTaDh+Gt966tv3IETP4YeFC87pHj2tHJlx5zs2K8ejo7F8jr4iPj2fv3r088sgjNGzYEG9vb1auXEn37t0B2LVrFwcPHqRZs2YujlRExA0cPw5TpsC0aamJzt/fPJF/5hkzXE7yHJtlZWTAZN4WFxeHv78/sbGx+Pn5uTocEckHks6e59exXxH3YRRNTn1FQS7aj/1uu5WFHqEs9Axln3cNPD3NaDnLMg/XPT3NyDibzTwHuHjxBjeSbLPZ4JZbzJ+v7E2/+pzy5c3mAtcbLp+UBJUqZe8aN5Lbc9l//vMfOnbsSMWKFTl69CijRo1i27Zt7Nixg9KlSzNgwAC+/vprZs6ciZ+fH8888wwA6zPxRCm3/w5ERBxu+3YYPx7mzk19Ul+pEgwdCo89pt1s3FRG85l65kVEckpCAnz7LYfejqL4D5/TgHP2Q39SnUjCiCKUHdatkIT5Sbzu1SSHWNb1C/Arzzl0yMyDb906/XPWrr3xdTJyDXd2+PBhHnzwQU6fPk3p0qVp2bIlGzdupHTp0gBMmDABDw8PunfvTkJCAiEhIUydOtXFUYuI5EKWBcuXmyJ+6dLU9jvvNPvDd+linv5Lnqe/ZRGRLIqPN/OsV6y4tnfcZvu3J51L3GtbQU8riq4swp84Uga67aMSUYQSRSjbqA/YcvgTiKMdO5a1Y1k5z91ERkbe8HiBAgWYMmUKU6ZMyaGIRETcTEICzJtnivjt202bhwd07WqKeE1LyndUzIuIZEGTJrB5c/rHPLnM3dZqwoikG9GUtM7Yjx3mFubTiyhC+ZEmqIDPWwICsnYsK+eJiEg+cfo0TJ8OkyebufEAhQtDv35mRdUqVVwbn7iMinkRkX8lJcGXX5ppZvv3Z+69NpJpwTrCiKQHCynLSfuxE5RhAT2JIpR1tMBCW8G4kyvnzB85kv7WfCnz3VO2vUtPq1bmnOxcQ0RE8pE//4SJE2HmTLMqLZiENHiwWdjuit0/JH9SMS8i+cKFCzBwoNnxLSUfZp9FE34kjEh6soDyHLEfOU0JPqM7UYSymrtJ0j+3bsn278CJd94x/+3RI3UKxdXnTJx444XrPD3NdbJzDRERyeMsC9asMUPpv/giNVk0aGCG0vfsCT4+ro1Rcg19uxSRPK9LF1iyxFFXs2jAz4QSRS/mU5n99iOx+LGIrkQSxkracRlvR91Usiij+8wHBUFYWPr7zE+cmLpd3MKF6e8Rf+U5N9KtW/avISIiedClSyZBjBsHW7emtj/wgCni77479cmvyL+0NR3aykYkL0hMhDffhP/9zyxM52i3sv3fpeqiqMFue3s8hfmcTkQSxlJCSMTX8TfPhVq2vPGWtR4e5niJEhATY9qKFUv/zyVKQJkyprguWTL9/5YuDeXKmfNPnjTn3+zPAQGpQ9bXrjULy92ozdPTTLVIr/1KGTnnZhxxjaspl+l3ICJuKDYWPvgA3n3XbGkCUKAAhIfDsGFQs6Zr4xOXyDNb061Zs4a33nqLrVu3cuzYMRYtWkSXLl3sx/v27cusWbPSvCckJIRvv/02hyMVEWeJjze9pt98Y/ZbzynV+ZNQoggjklvZYW+/QAG+5AGiCOVr7uMChXIuKBcrWtRM3XO3HuT0tnpLr83T8+bbwmXknJtxxDVERMSN7d9v5l59+GFqL0SZMjBoEDz1lHmKLXITTinmDx06hM1mo3z58gD8+OOPzJs3jzp16tC/f/9MXevcuXPUq1ePxx57jG7X+fbYvn17ZsyYYX/t65s/esZE8oMbrRrvDJXYRy/mE0YkDdhmb0/Em2/oQBShfEFH4imac0FlUsGCpue7UCHw9obz5027zWbafH3NSAYwf/b1NbvdpPy3QAFzXkqv+MWLUKmS6SRo21ZzuvMbR+Z0EZF8b9MmM5T+s89SeyhuvRUiIuChh0wSFskgpxTzDz30EP379+eRRx7h+PHj3HPPPdx6663MnTuX48ePM3LkyAxfq0OHDnTo0OGG5/j6+lIuZfyliLidCxdgwACYOxcuX875+9/CYXqygDAiacqP9vbLeLKce4gilMV0IZZiORJPyvNIm80Uzp6eJt9bFnh5mdceHuZ4UpIp2KtUMb3lgwdrXRxxLEfmdBGRfCkpySzeM24crF+f2n7PPWY+/L33aj68ZIlTivnt27fTpEkTAObPn0/dunVZt24dy5Yt46mnnnJ44l+1ahVlypShePHitG3blldffZWSKSscpSMhIYGEhAT767i4OIfGIyIZ59jF6TKuLMfpwUJCiaIVP9jbk/BgFa2JIpRounGaUjkW07PPmnn/IrlJTud0EZE8Iz4eZswwK5z+9Zdp8/aG3r3NfPjbb3dpeHnBjdagced1cDLKKcX8pUuX7EPdV6xYQadOnQCoVasWx44dc+i92rdvT7du3ahcuTJ79+7l+eefp0OHDmzYsAHP6/wWx44dy5gxYxwah4jcXMoidW+8AefO5fz9S/I33YgmlChaswpPUifgr6UlUYSykB6cIPsjfa7ceszDw/w5pc1mMz++vqnD14cOVY+65E45mdNFRPKEI0dg0iR47720q70OGGD2yQ0IcGl4jpZSzB45AqdOXX8x2/QWtT1+3LyndGm45RZo3twMXjh27NpFba88FhAAf/9tnolcvTtMynay6e0c8847qev+REff/JybccQ1ssMpq9k3bdqUNm3acP/993PvvfeyceNG6tWrx8aNG+nRoweHr/y0mWCz2a5ZAO9qf/31F1WrVmXFihW0a9cu3XPS65kPCgrS6rciDuLqov1K/sTQhcWEEsU9LMeLJPuxTTQhkjAW0JMjlM/2vRo3hh9/vPl5Is7grJXcnZXTnUGr2YuIS23bZobSR0amzhusXt1UnH36QOHCLg0PTOG9ahV8951Zgy8jleCVO9ScOWMK1/LlzeuNG2H5cjh71jHxpewsk9ljKa7sTEnvGJgdAAF69Lj23CvPuVkxHh2d/Wtcj0tXs//f//5H165deeuttwgPD6devXoAfP755/ahes5SpUoVSpUqxZ49e65bzPv6+mqRPBEnee45eOst18ZQhLN05AtCiaI93+JLov3YTzQgilDm04v9VM7WfWw2KFIE7rrL5O0iRbIbuUju48qcLiKS6yUnm+12xo2D779Pbb/rLrOoXceOphp2kpTifMUK06Fw4oRpL1PGfE+5eDF1Tb0jR2DvXtesT5RRNyrWb1bIw40fTqSMjhwy5PrnppwzdCh07nz94fJJSeY62bmGIzilmG/dujV///03cXFxFC9e3N7ev39/ChVy7hZOhw8f5vTp0wTkseErIrlRfDyEhsLXX7s6EijIee7ja8KI5H6+oiAX7cd+pw6RhBFFKLupccPr2Gxm+7VevcyWrwULOjtykdzNlTldRCTXunAB5syBCRNg507T5ulpvkBERECjRtm+RWKi+S4SHW0K8St3pUlIMMPMT59Of9ve33/P9u3zJMtKOyT+euccOmSmDlxvG9m1a298nYxcwxGcts+8ZVls3bqVvXv38tBDD1G0aFF8fHwynfjj4+PZs2eP/fW+ffvYtm0bJUqUoESJEowZM4bu3btTrlw59u7dy3PPPUe1atUICQlx9EcSyddiY82iqzm5TdzN+JBACEsJI5JOfE4RUsf0/0l1ogglilB+p26679eCcyIZ46icLiLi9k6ehClTYOpUU00D+PlB//7wzDNQoUK6b0tKgpUr4aOPzND0s2dNEe7hYf579U41Fy6YH3GdGy0Lk9ElY5y9tIxTivkDBw7Qvn17Dh48SEJCAvfccw9Fixblf//7HwkJCUyfPj3D19qyZQtt2rSxv46IiAAgPDycadOm8euvvzJr1ixiYmIIDAzk3nvv5ZVXXtEwehEHqlbNDMvKDby4RDtWEkYkXVhMMWLtx/ZT0V7A/0wDIO02LzabWWBl6FCzE4wWnBO5OUfmdBERt7VjB4wfD598YrrFASpWhCFDiA/tx0NP+bH6NlOAXzmqPmUO9xXLdYmbuNFA74wOAnf2YHGnFPNDhgyhUaNG/PLLL2m2iOvatStPPPFEpq7VunVrbrRG39KlS7Mcp4ik78wZaNYM/vzT1ZEYHiTRmlWEEkU3oinFafuxIwQyn15EEsaPNKFQIRthYbBusobIiziCI3O6iIhbsSwSvl7JnwPGc9uhb+zNm2jCBNtwFh/uRkKEF0S4MEbJFJvNrJoPZupCemWmzWYW+GvV6vrXadXKnJOdaziCU4r5tWvXsn79enyu6vaqVKkSR44cccYtRcRBypVLXTzFlWwk04J1hBJFDxZSjtSgTlCGPQ160uKdUG5p0YJhHh4Mc2GsInmZcrqI5GUXLpjd4qKi4Px50+ZNIg/yKRGMpx6/chuQjI1FdGU8EaynOVg2yMCCbJKzrlzN/uqV7VNWmU/Zuq5Hj+ufM3HijReu8/Q018nONRzBKcV8cnIySeksN3j48GGKFi3qjFuKSBbFxsK99+aWLdUsmvAjoUTRi/mUJ7VQOE0JvvDpjnfvUHpOvpsWhZy25IeIXEE5XUTcWWIivP22WWz+zJkbn1ucMzzFdAYxmUDMZOdzFOJjHmMiQ/mLqjkQsWRH+fKmiIb093+fODF1u7iFC29+zo1065b9a2SXU/aZDw0Nxd/fn/fff5+iRYvy66+/Urp0aTp37kyFChWYMWOGo2+ZLdqXVvKTlCfQkZG5ZWEVi/psI4xIejGfyuxPPeTnB127miXzg4PB29tlUYrkds7KZe6U05XPRfK3lA6KzZsztn96iqrsYSgTeZQZFMZ0zx8hkEk8w3s8SQzFb3IFcZTM7DMfFGQe0pQubRaaCwgww9pTesOTksxq8ukdS5GRc27GEde4WkbzmVOK+cOHDxMSEoJlWezevZtGjRqxe/duSpUqxZo1ayhTpoyjb5ktSv6SX3TpAkuWuDoKow6/E0YkoURRg9329otehfHq1gmvh0IhJCR1c1QRuSFn5TJ3yunK5yJ5n+M6JSxa8gMRjKczS/DAlETbqMc4hhNFKJfQSrmZUbgw9OwJbduaLfNKlkz/v6VLm2mdAMePw6lTpu2WW6B5c1i/3hTGKenl5ElTJF95zFFFc27l0mIe4PLly0RGRvLrr78SHx/PHXfcQe/evSmYC1ekUvKXvCw+HsLC4KuvXB0JVOdPQokizBbFrdYVG6AWKAD332964O+/32yiKiKZ4sxc5i45XflcJG9JTDRbyP7vf+b7jCN4cpkeLCSC8TQhdb/dr7iPcQzne9pw9W44eZW3NzRtanq4b8TDw5xTooSZqnD4sBlKXqIExMSY461bm5+8WlzntIzmM6dNOvXy8uLhhx921uVFJAOaNHH9vvAV2U8oUTxaKIpa5382jRYmg7Rvbwr4Tp1Ac29Fci3ldBFxJmcU7VfzI5Z+fMQQ3qEiBwG4iC+z6cMEhrGT2s65cQ5LWa29enXz54sXUwc5Xrxo+ksaN4Z27VR85wVOKeZnz559w+N9+vRxxm1FBDNvZ8kSUyNfvuyaGG7hMD1ZQJgtiqbWJtN4HpMxgoPNUIEuXaBYMdcEKCIZppwuIo524QIMGABz5zr/u0oFDjCYd3mCD/DjLAAnKc0UBjKNAZwi90wVupmiRU2PuK+v2bf+/HkztD0gwHTgqEDPf5wyzL548bSLRFy6dInz58/j4+NDoUKFOHOzpSRzmIblibtKSoJvvoHnn4fffnNdHMWKwainTjCo3EK8Posyq4CkSBl7FRpqlvUsVcpVYYrkac7KZc7K6W+88QYjRoxgyJAhTPx36eGLFy8yfPhwIiMjSUhIICQkhKlTp1K2bNkMXVP5XCR3ycmi/WqN+ZEIxtODhXj9u4fcDmozngg+4WEScP2aPF5epkBPTjYFuIeH6U1PSjKvCxUyvexdu8LgweCjKfz5hkuH2f/zzz/XtO3evZsBAwbw7LPPOuOWIvlOdLTp4L50yTX39/CAJR+f5oHEaLMKzZurTDZK0bKlKeB79Ehd5URE3I4zcvrmzZt57733uP3229O0Dxs2jK+++ooFCxbg7+/PoEGD6NatG+vWrcvSfUQk57iycE/hQRId+YLhjKMVP9jbV9COcQxnKSFYeORILL6+5r82mynMvbzMDMOyZaFPHxg6VMW5ZF+ObdRcvXp13njjDR5++GF27tyZU7cVyXPi4+Huu+Gnn1xz/1rlYpjXazH1d0Vhe3xF2ozdpIkp4Hv2vPlqKiLitrKT0+Pj4+nduzcffPABr776qr09NjaWjz76iHnz5tG2bVsAZsyYQe3atdm4cSN33nnnNddKSEggISHB/jouLi6Ln0hEMitlWt9TT5nVyF2pEOfoy0yGMpHq7AEgEW8+5UHGE8Gv1HP4PT09TaGenGyK9FKlzBq+EydCLlsbVPKwHCvmwSygc/To0Zy8pYjbS1mNfulS1z3prlw6nr8mfg5RUfDtt/BuYurB+vVNAd+rF1Sp4poARSTHZTWnDxw4kPvvv5/g4OA0xfzWrVu5dOkSwcHB9rZatWpRoUIFNmzYkG4xP3bsWMaMGZO1DyAimZbS+z5nTtrBeK4SwFEGMZmnmE4JzCiiMxRnOk8xmUEcIzBb17fZzI+vL9SsCa+/bvax15x0yS2cUsx//vnnaV5blsWxY8eYPHkyLVq0cMYtRfIkV65GX9jjAo8HfMWbDaPwWf4V9L5iM9c6dUwBHxpqspuI5FmOzOmRkZH89NNPbE7nH7bjx4/j4+NDsasWxixbtizHjx9P93ojRowgIiLC/jouLo4gjQoScZjYWLjnHtfvjHO12/mFCMbzIJ/ig5lvuIeqTGAYM+nLeQpn6noFC6pYF/fklGK+S5cuaV7bbDZKly5N27ZtGTdunDNuKZKnJCaaTu4jR3Lunr6+sHBuAh08l+K5IAo+/xyOxENKDNWqmSECoaFQt27OBSYiLuWonH7o0CGGDBnC8uXLKVDAMQtP+fr64psyMVVEsiW3Fu4pbCQTwlKGM45gVtrb19KScQznCzqSTPpVuIeHGQY/dCgMH6656pJ3OKWYT84N425E3NRzz8Fbb+Xc/by4xIt3rmRUrSjot8hk8xQVK6b2wDdoYMaaiUi+4qicvnXrVk6ePMkdd9xhb0tKSmLNmjVMnjyZpUuXkpiYSExMTJre+RMnTlBOi2iKOM2ZM2ZRNldN5bsZXy7yMJ8QwXjq8AcAl/FkIT0YTwSbaZLmfG9vuOMOMz3R398VEYvknBydMy8iNzZ0KLzzjvPv40ES9/qsZkTlSFr9HY1t42nY+O/BwEAz/z00FJo2VQEvIg7Rrl07frtqD81HH32UWrVq8d///pegoCC8vb1ZuXIl3bt3B2DXrl0cPHiQZs2auSJkkTwrt/fCA5TiFE8zlYFMoQxmhb04ivIBTzCJwfzjV5FevWD1u1pwTvIvhxXzV85Zu5nx48c76rYibi0xEcaPhylT4PBh597LRjItWEeYLYp+/gspEHMCdv17sEwZs4VcaKjZUs4jZ7ZtEZHcyRk5vWjRotS9aopO4cKFKVmypL29X79+REREUKJECfz8/HjmmWdo1qxZuovfiUjmxMebNP/1166O5MZq8QfDmEAfZlMAs1vFQVsFNjQeQqcl/Rhezp/hLo5RJLdwWDH/888/Z+g8m3r5RICcGk5v0ZjNhBHJQ57zKZd0BCwgBihRArp1M5m9dWuzAaqICK7L6RMmTMDDw4Pu3buTkJBASEgIU6dOdeg9RPILd+h9T2XRhu95zmMc7ZOveNrQqBEMH06FHj2ooO8pItewWZZluToIV4uLi8Pf35/Y2Fj8/PxcHY7kcUlJZhR7dLSz7mBRn2309oriYe/5lLuwL/WQnx906WIWsgsONhPLRCRPUC7T70AEcv8c+CuV9k/kg+AoOu4Zj8cv20yjzQadO0NEhBktqI5AyYcyms/0iEskByQlwTffwKBBcOCAc+5Rh98JJYrwAlFUvPgnXMb8FC4MHTuaAj4kBBy0irSIiIjkDklJsGSJmTGXG7vpihWD//wHnn3235Xk//kH3nsPJk2Cz46akwoVgkcfhSFDoHp1V4Yr4jacVsxv2bKF+fPnc/DgQRITE9Mci3Zel6RIrhMdberoS5ccf+1q7CaUKB60RXKr9btpvIgp2O+/3wyhv/9+kyBFRLJIOV0k95o1C/r2dXUUqQoVMt97Jk9OZ2G6vXth4kT4+GM4f960lSsHzzwDTz1lpgCKSIY5ZZWryMhImjdvzh9//MGiRYu4dOkSv//+O9999x3+2iNC8pHoaOje3bGFfEX28yxvsrPQHeymBq/ykinkvb1ND/wnn8DJk7BwIfTsqUJeRLJFOV0k90lMhNdfNyPQc0Mh36QJxMSYUQHnzsFHH11RyFsWrFtn1umpXt1U+efPw+23w8yZsH8/PP+8CnmRLHBKz/zrr7/OhAkTGDhwIEWLFuWdd96hcuXKPPnkkwQEBDjjliK5TlIS9O7tmGsFcoRezCeUKO5kk2k8D3h6mrnvoaFmLnzx4o65oYjIv5TTRXKPxEST9teudW0cN+x9T3H5sunVGD8eNm1KbW/fHoYPh3btNB9eJJucUszv3buX+++/HwAfHx/OnTuHzWZj2LBhtG3bljFjxjjjtiK5SmgoXLyY9feX4QQ9WEgoUbTkBzz4dxKczWZWnw8NNd3+pUo5JF4RkfQop4u4XlKSmQ+/eLFr7h8YCNOmmZl7np43OTkuznTNv/NO6kJBPj7wyCMwbBjceqvT4xXJL5xSzBcvXpyzZ88CcMstt7B9+3Zuu+02YmJiOJ8yP0YkD0pMNFPBxoxJnQqWGSU4TTeiCSWKNnyPJ8n2Y/tuaUHl/4aabK7eMBHJIcrpIq41dy48/HDO3c9mMw8NMlS4X+ngQXj3XfjgA1PQg+lwePpp81O2rDPCFcnXnFLM33XXXSxfvpzbbruNnj17MmTIEL777juWL19Ou3btnHFLEZfL6r7xfsTShcWEEsU9LMeb1L1kNtOY2PvCuOvdnlSuGuTAaEVEMkY5XcQ14uOhTBm4cCFn7letGmzZApleCmPLFjOUfv58M4QAoGZNs7XcI4/cYBy+iGSXQ4v57du3U7duXSZPnszFf8cXv/DCC3h7e7N+/Xq6d+/Oiy++6MhbirhcUpIZ8f7ZZxl/T2Hi6cgXhBJFB77Bl9TVoX+mPsuKhTJoTS8a31bFCRGLiNyccrqIa1y4AEFBcPq08+9VrJhZDT/TvfDJyfDllzBuHKxZk9repo2ZD9+hA3g4ZZ1tEbmCzbIctxulh4cHjRs35vHHHycsLIyiRYs66tJOFRcXh7+/P7Gxsfj5+bk6HHEj0dHw4INmeP3NFOAC9/E1YURyP19RiNRH7TuoTSRhRBFK52dr8uabTgxaRPIkR+cyd8zpyufizpKSoHlz+PFH594nU/Pfr3b+vKn+J0yA3btNm5eXWQ1v2DC44w6HxyuSH2U0nzn0kdnq1au59dZbGT58OAEBAYSHh7PW1cttijhBUhK8+KJZf+5GhbwPCXTkcz6hNycpw2f0oCcLKcQFdlONV3mB2/iVO4v8TuE3RvJbggp5EckdlNNFckZsrNmxzcvLOYW8p6fp5bcs83PkCHTqlMlC/vhx88UnKMjMf9+923Tr//e/sG8fzJmjQl7EBRzaM5/i3LlzzJ8/n5kzZ7J27VqqVatGv379CA8Pp1y5co6+XbbpSb5kxsKFpjf+8uX0j3txiXasJJQourKIYsTajx2gAlGEEkkYP9OAypVt7NxpFnkVEckOZ+Uyd8rpyufibqpUMbWwMxQqBEePZmEO/JV++83Mh583L7X3onJl0wv/6KNQpIhDYhWRtDKaz5xSzF9pz549zJgxgzlz5nD8+HHat2/P559/7sxbZpqSv2TU9Ra58yCJu1lNKFF05zNKkTrR7QiBLKAnkYSxiaaA2VPVZjNb16mQFxFHyIlclttzuvK5uIvYWNOx7QwFCsCpU9mosy0Lli0z8+GXL09tb97cLGrXpUsWxueLSGZkNJ85ZTX7K1WrVo3nn3+eihUrMmLECL766itn31LEKSIj0xbyNpJpznpCiaIHCwnguP3YSUqzkB5EEsYPtMRKZ0bLf/6jQl5E3Ityukj2xMaaFeozstZOZmW7Jz4hweyDN348/P67afPwMHMKIyLgzjsdFquIOIZTi/k1a9bw8ccf89lnn+Hh4UGvXr3o16+fM28p4hRDhpitU8GiMZsJJYpezCeIw/ZzzlCcz+hOFKGsojVJN/i/17PPornxIuJWlNNFsiYx0dTHL76YunObI5UpA3v3ZqMn/u+/zYp4U6bAiROmrUgRePxxGDzYDKsXkVzJ4cX80aNHmTlzJjNnzmTPnj00b96cd999l169elG4cGFH307E6apVtSjy1y+MJZJezKcKqZPbYvFjMV2IIpQVBHOJG3e1P/wwfPSReuRFxD0op4tkz/DhppB3Bh8fiInJxjbuu3aZVelnzTLz/gDKlzcF/BNPOG8egIg4jEOL+Q4dOrBixQpKlSpFnz59eOyxx6hZs6YjbyGSc3bs4NPOkXz1VxQ1+dPefI5CfE4nogjlW9qTQIGbXurFF2H0aE0xExH3oZwukj2NG8OWLc659uzZ8MgjWXijZcHq1eYJwxdfpLbfcYd58tCzJ3h7OyxOEXEuhxbz3t7eLFy4kAceeABPVS3ijnbvhqgo87N9Ow/+23wRX77ifiIJ4yvu5wKFMnQ5b28z175bN+eFLCLiDMrpIlnXsCH89JPjrztiBLzyShY6By5dgvnzTRGfEpjNBh07mvnwd91lXouIW3FoMZ+bVrQVybD9+02Ci4pKk3kT8WYpIUQRyud04iyZWxm5a1dYsEC98SLinpTTRbKmUyfHF/JdupitcTP9nSImBt5/3yz8c+SIaStYEMLDzfZyNWo4NlARyVFOX81eJFc6csRU2lFRsHGjvTnJ5skKqx2RhLGYLsRQPEuX1wJ3IiIi+c+8eWlHr2dX7dqwbVsW1trZtw/eeccs1BMfb9rKloVBg+Cpp6BUKccFKSIuo2Je8o+TJ81j7agoWLvWzBsDsNk4eWtrRu8IZUFyN/6mdJZv8cYb5kG3FrgTERHJX4YNg4kTHXOtxx83nemZXtxuwwYzlD46GpKTTVvdumYo/UMPga+vYwIUkVxBxbzkbWfOmIQWGQnff5+a2ABatIDQUD736UHnpwKyfavPPtPceBERkfyoSRPYvDn716lfH37+OZNvSkqCRYtMEb9hQ2r7vfeaRe3uuUfz4UXyKBXzkvfExsLixaYHfvlyuHw59VjjxiT3DGVtQC+mfxXEstGm3s8OHx/49FMV8iIiIvlRRET2C3k/PzMDMFN7xZ89CzNmmOEA+/7dNtfHB3r3NkHVrZu9oEQk13NYMZ+ZhXI6deqU4XPXrFnDW2+9xdatWzl27BiLFi2iS5cu9uOWZTFq1Cg++OADYmJiaNGiBdOmTaN69eqZCV/cXXy8maQWFQXffAOJianH6tWD0FAIDSV6WxXCw1Onj2XX88/Dyy9rkTsRyVuckdOnTZvGtGnT2L9/PwC33norI0eOpEOHDgBcvHiR4cOHExkZSUJCAiEhIUydOpWyZctmOn6RnJKYaLZqz6osFfGHD8OkSfDee6YDA6BkSRgwAAYOhHLlsh6QiLgVhxXzVxbYADabDStlTvK/r1MkJSVl+Lrnzp2jXr16PPbYY3RLp+vzzTff5N1332XWrFlUrlyZl156iZCQEHbs2EGBAjff/1vc2IUL8PXXpoD/8kvzOkXt2hAWZor4f/dFnj/fvHSU4cPhtdccdz0RkdzCGTm9fPnyvPHGG1SvXh3Lspg1axadO3fm559/5tZbb2XYsGF89dVXLFiwAH9/fwYNGkS3bt1Yt26dQz6TiDM0aJC19xUoAKdOZbKI/+knM5Q+Kip11GGNGmayfp8+UChj2+aKSB5iOcHy5cutO+64w/r222+t2NhYKzY21vr222+tRo0aWcuWLcvydQFr0aJF9tfJyclWuXLlrLfeesveFhMTY/n6+lqffvpphq8bGxtrAVZsbGyWY5MccvGiZX3+uWX17m1ZRYpYllnGzvxUrWpZL7xgWb/+alnJyWneNnx42lOz+xMR4aLPLyJyHc7KZc7K6ZZlWcWLF7c+/PBDKyYmxvL29rYWLFhgP/bHH39YgLVhw4YMX0/5XHLS+fNZ+w5Rv34mbpKUZFlffGFZrVunvcjdd5vvQ0lJzvp4IuJCGc1nTpkzP3ToUKZPn07Lli3tbSEhIRQqVIj+/fvzxx9/OOQ++/bt4/jx4wQHB9vb/P39adq0KRs2bCAsLCzd9yUkJJCQkGB/HRcX55B4xEkuXYLvvjNPoqOjU4eUAVSoYB9Czx13pLvAy7PPwrhxjgtn2DDHXk9EJDdzRk5PSkpiwYIFnDt3jmbNmrF161YuXbqUJp/XqlWLChUqsGHDBu688850r6N8Lq50nf9Z3lDFihlc4O78eZgzx4zh37XLtHl6mu87ERHQsGHmby4ieY5Tivm9e/dSrFixa9r9/f3tc+Uc4fjx4wDXzKcrW7as/Vh6xo4dy5gxYxwWhzhBUhKsWWNWof/sMzh9OvVYQAD06mUS2p13XneF1sREePRRs+ero2j/eBHJbxyZ03/77TeaNWvGxYsXKVKkCIsWLaJOnTps27YNHx+fa+6jfC651f33w6+/Zu49RYvCTf8vc+IETJkCU6emfvfx94f+/eGZZyAoKCvhikge5eGMizZu3JiIiAhOnDhhbztx4gTPPvssTZo0ccYtM2XEiBHExsbafw4dOuTqkATMtnHr1plkVb48tG0L779vklnp0mZhl1Wr4NAhs3Jrs2bXLeSfe85speqoQv711yEhQYW8iOQ/jszpNWvWZNu2bWzatIkBAwYQHh7Ojh07shyb8rm4QpkyZsmezChVCm44cOT336FfPzPi8JVXzHefSpXM951Dh8wXEBXyInIVp/TMf/zxx3Tt2pUKFSoQ9O8/PIcOHaJ69eosXrzYYfcp9+9qnSdOnCAgIHWf8BMnTlC/fv3rvs/X1xdfX1+HxSHZYFlmP5eoKLNC3eHDqceKFzf7vYWFQevW4JWx/7kOH27Wh3GUZ5+FESMcdz0REXfiyJzu4+NDtWrVAGjYsCGbN2/mnXfeITQ0lMTERGJiYtL0zp84ccKe69OjfC45rWBBuHgxc++pUgX27k3ngGXBihVm7t7Spantd95pvsx06ZLh7z4ikj855V+IatWq8euvv7J8+XJ27twJQO3atQkODk6zAm52Va5cmXLlyrFy5Up78R4XF2d/4i+5lGXBL7+YAj4qKnVvVDBj0Lp0MQV8cLDZL/UmEhNh8mRYvRrWr4e//3ZMmDYb/Oc/6o0XkfzNmTk9OTmZhIQEGjZsiLe3NytXrqR79+4A7Nq1i4MHD9KsWbNsfwYRR6hUKfOFPMCff17VkJAAn35qeh5++820eXhA165mPnzz5tkNVUTyCac97rPZbNx7773cdddd+Pr6Zjnhx8fHs2fPHvvrffv2sW3bNkqUKEGFChUYOnQor776KtWrV7dvTRcYGHjNtjqSC+zYYYr3yMi0ma1QIejY0RTw7dub/Voy6LnnzAPt5GTHhRkYaBa5Gzw4Q88SRETyPEfk9BEjRtChQwcqVKjA2bNnmTdvHqtWrWLp0qX4+/vTr18/IiIiKFGiBH5+fjzzzDM0a9bsuovfieSkuXPhwIHMvy8kxKxbB5ih89Onmx6IlLUgChc2w+uHDDFd+CIimeCUYj45OZnXXnuN6dOnc+LECf7880+qVKnCSy+9RKVKlejXr1+Gr7VlyxbatGljfx0REQFAeHg4M2fO5LnnnuPcuXP079+fmJgYWrZsybfffqs95nOLPXtSC/jt21PbfX3N6jGhoea/hQtn6rJJSab2X7jQcaE+8gh8+KEKeBGRKzkqp588eZI+ffpw7Ngx/P39uf3221m6dCn33HMPABMmTMDDw4Pu3buTkJBASEgIU6dOdeZHE8mQCxfg4Yez9t5Fi4Ddu82q9DNnmosB3HKL6TV44gkzrVBEJAtslmVZjr7oyy+/zKxZs3j55Zd54okn2L59O1WqVCEqKoqJEyeyYcMGR98yW+Li4vD39yc2NhY/Pz9Xh+P+Dhww898jI+Gnn1Lbvb3NI+rQUOjUCbL4u46ONoX3+fOOCbdoUZNfu3VzzPVERFzBWbnMnXK68rk4WtbX4bH4b7O1vFF6HHzxhZliCFC/vrlor17qPRCR68poPnNKz/zs2bN5//33adeuHU899ZS9vV69evb5dpLHHDkCCxaYXviNG1PbPT2hXTtTwHftmuWnz0lJZiH7KVP+fcrtIN27m5DtQ+BERCQN5XTJr5o0MWv0ZoYXl+jBQv7rNZ76G7akHnjgATMfvnXr6+7EIyKSWU4p5o8cOWJfrfZKycnJXLp0yRm3FFc4edKMc4+KgrVrU58622xw991mHHy3bmZbuSxKSjI7tPzvf1lbdOZGOnd27DB9EZG8SDld8qOIiMwV8n7E8gQfMJh3qcAhuIxZAyg8HIYOhVq1nBWqiORjTinm69Spw9q1a6lYsWKa9oULF9KgQQNn3FJyypkzZpx7VBR8913aleeaNzcFfI8ecMVWgVkVHW1yYHx8ti+Vhrc3zJljBguIiMiNKadLfpOYaKa4Z0RF9jOEd3icDynKv19YypSBgQNhwIBsdWiIiNyMU4r5kSNHEh4ezpEjR0hOTiY6Oppdu3Yxe/ZsvvzyS2fcUpwpNhaWLDEF/LJlcPly6rFGjUwB37MnVKjgsFtGR5sh8I720kswapSG1YuIZJRyuuQ3kybd/JwmbGI44+jOZ3hiOjbiK9ShyMgI6N07UzvziIhklVMWwANYu3YtL7/8Mr/88gvx8fHccccdjBw5knvvvdcZt8sWLZiTjnPnzIItUVHwzTdmT9QU9eqZbu1evaBqVYffOinJPNQ+c8Zx1yxYED75RIvciUje5cxc5i45XflcHOF6c+U9SKIzS4hgPC1ZZ29fxj1MLxjBgrgQPL00H15Ess9lC+BdvnyZ119/nccee4zly5c7+vLiTBcumMI9MhK+/DJ1+xQwc73CwkwR7+R5X6+95rhC3tMTnn9evfEiIlmhnC75TVIS/PJL2rbCxPMoMxjKRKryFwCJeDOPhxhPBL9xOwtmg6dTxruKiFyfU3rmixQpwvbt26lUqZKjL+0U+fpJfkKCGTofFWWG0l85Qb1qVVO8h4bCbbflyOqrSUng728GBmRHq1ZmSH3btiriRSR/cFYuc6ecnq/zuTjEqlXQpo35cyBHGMRknmI6xYkB4AzFmcYAJjOI45j1gZ59Ft580zXxikje5NKt6dq1a8fq1avdIvHnS5cumcXroqLMPm8xManHKlQww+fDwuCOO3J8+5TevbNXyGvPeBERx1JOl/zk2DGoxzYiGM+DfIo3Zp2g3VRjAsOYRTjnKWw/f/58s2yQiIgrOKWY79ChA//3f//Hb7/9RsOGDSlcuHCa4506dXLGbeVGkpJgzRpTwH/2Gfz9d+qxgACTicLCoGlT8PBwSYhRUeYnq7S4nYiI4ymnS76QnAzffEP7t8bzIN/Zm9fQinEM50seIJnULxheXqbzwcfHFcGKiBhOGWbvcYNi0GazkZSU5OhbZkueHZaXnAwbNpgKecECOH489VipUmYLubAwaNnSpRVwUhKMGWP2k88K9caLiDgvl7lTTs+z+Vyc58IFs0Lu+PGwcycAl/FkAT0ZTwRbaJzu26KizEBGERFncOkw++Qr9x6XnGVZsGWLyTLz58OhQ6nHihUz+72FhpoJYV6uX6klq3vJe3qaj9G3r+bFi4g4k3K65EknT8LUqebn1CkALD8/JsQ/wcTkwRzixtvtliyZE0GKiNyY06u5ixcvUkB7bTqXZcGvv6aOU//rr9RjRYtCly6m8r3nnlwzHiwpyaxaP2pU1t4/f7564kVEcppyuri9HTtgwgSYMyd1292KFWHIEF4/3o8X38zYiI5Vq6BdO+eFKSKSEU6ZHJ2UlMQrr7zCLbfcQpEiRfjr3+LypZde4qOPPnLGLfOnHTtMNVy7NtSvD2PHmkK+UCFTvEdHmyfPs2fD/ffnmkI+OtrkzawU8jabmTGgQl5EJGcop4vbsyxYuRLuuw9uvRU+/NAU8k2amE6QPXtIGjyMlydqaoaIuBenFPOvvfYaM2fO5M0338TnigKybt26fPjhh864Zf6xZ4/p0r79dpOQXn4Zdu0CX1/o2tUkpZMnzV7xXbtCLutBiY42U/WPHMna+z/91LxfRERyhnK6uK3ERNOh0aABBAfDN9+YXoGuXWHtWti40Ux89/Ji1Spzeka1bu2soEVEMs4pw+xnz57N+++/T7t27Xjqqafs7fXq1WPnv4uLSCYcOGDGlUdFwdatqe3e3nDvvWYRu06dIJcv9pOYCI8+ah6QZ0XKlvciIpJzlNPF7Zw5A++9B5Mmmb3mwIxafOwxGDIEqlW75i2rVmX88oUKqZgXkdzBKcX8kSNHqJbOP5TJyclcunTJGbfMe44eNePJIyPNk+MUnp5mklZoqHmyXLy462LMhOhos4f8xYtZe3+JEjB3rmNjEhGRm1NOF7exZw9MnAgzZsD586YtIACeeQaefNJ8mbiOzKzzOGOGFt4VkdzBKcV8nTp1WLt2LRUrVkzTvnDhQho0aOCMW+YNJ0+aPeAjI83wr5QubJsN7r7bFPDdu0Pp0q6NM5Oio03Y2fHBB0qcIiKuoJwuuZplwbp1MG4cLFmS+t3p9tth+HAzejEDawZldHX6W2/VlnQikns4pZgfOXIk4eHhHDlyhOTkZKKjo9m1axezZ8/myy+/dMYt3deZM7BokSngv/su7aPh5s1NAd+jBwQGui7GbEhKgsGDs/5+7SEvIuJayumSK12+bDpAxo2DzZtT2++7DyIizL61NluGL5fR0X8jRmQyThERJ3JKMd+5c2e++OILXn75ZQoXLszIkSO54447+OKLL7jnnnuccUv3Ehtrnh5HRcGyZSYhpWjUyBTwvXpBhRvvceoO1q7N+mJ3L71kVrxXj7yIiOsop0uuEhdnVqN/5x04eNC0+frCI4/AsGFQp06mL3nhAvz0U8bOveWWTF9eRMRpnLbPfKtWrVi+fLmzLu9+zp2DL74wBfw336TubQpmKFjK6m5Vq7ouRidIWXcms+bPh549HRuLiIhkjXK6uNzBg/Duu2beXVycaStVCgYOhKefhjJlsnzpZ5/N2HlFikCrVlm+jYiIwzmtmBfMo95vvjEF/BdfmNcpatUy87hCQ82f86jduzN3fvny5mG7htWLiIgImzfD+PFmUeCkJNNWq5YZSv/ww1CwYLZvkdHvKlWrarSgiOQuDivmixcvji2Dc5POnDnjqNvmPomJZuh8VBQsXgzx8anHqlRJLeBvuy1Tc7ncUXS0GSafUaNHw4svKlGKiLiacrq4VFKS6QQZP97M10vRtq1Z1K59e/DwcNjtqlc3X91upmVLh91SRMQhHFbMT5w40f7n06dP8+qrrxISEkKzZs0A2LBhA0uXLuWll15y1C1zpwcegCuHIgYFpQ6hb9gwzxfwKZKSoH//jJ//7LOZK/xFRMR5lNPFJc6dg1mzYMIEs80cgJcXPPig6YmvX98pt33rLZgyJWPniYjkJjbLStnDw3G6d+9OmzZtGDRoUJr2yZMns2LFChYvXuzoW2ZLXFwc/v7+xMbG4ufnl72LTZhg/rXv2dMU8Hfe6dCnx+7i5ZczVpwXKmRWq9f8eBGR7HFoLruCo3L62LFjiY6OZufOnRQsWJDmzZvzv//9j5o1a9rPuXjxIsOHDycyMpKEhARCQkKYOnUqZcuWzdA9nPU7ECc7dgwmT4bp080uPwDFisFTT8GgQTmy6lyXLmZt4uvp3NkMuBQRyQkZzWdOKeaLFCnCtm3bqFatWpr2PXv2UL9+feKvHHqeCzg0+V+8CN7e+XqseFKSWYcmIyMvP/kEevd2fkwiInmdswpZR+X09u3bExYWRuPGjbl8+TLPP/8827dvZ8eOHRQuXBiAAQMG8NVXXzFz5kz8/f0ZNGgQHh4erFu3LkP3UDHvZn791QylnzcPLl0ybVWqmFXp+/Y1K87loM6d4fPP029XIS8iOSmj+cwpC+CVLFmSJUuWMHz48DTtS5YsoWTJks64Ze5RoICrI3C5117LWCEP2uJFRCS3c1RO//bbb9O8njlzJmXKlGHr1q3cddddxMbG8tFHHzFv3jzatm0LwIwZM6hduzYbN27kzjvvvOaaCQkJJFyxO0xcyirnkntZFixdavaHX7Eitb1FCzMfvlMnl3SIREdfuz1doUJmF7wHH8zxcEREMsQpxfyYMWN4/PHHWbVqFU2bNgVg06ZNfPvtt3zwwQfOuKXkEplZ9K5kSW3xIiKS2zkrp8fGxgJQokQJALZu3cqlS5cIDg62n1OrVi0qVKjAhg0b0i3mx44dy5gxY7Icg+Sgixdh7lzTE79jh2nz8IAePcx8+H//t+UK0dEmjKvHql64YEYP+vpqlx0RyZ2cMpm7b9++rFu3Dj8/P6Kjo4mOjsbPz48ffviBvn37OuOWkgtkdtG7wYPz9WwEERG34IycnpyczNChQ2nRogV169YF4Pjx4/j4+FCsWLE055YtW5bjx4+ne50RI0YQGxtr/zl06FCW4hEnOnXKLKRTsSI8/rgp5IsWNUPp9+41u/+4sJBPSoIhQ64t5CG1bejQ1F3xRERyE4f3zF+6dIknn3ySl156iblz5zr68pKLvfYanD6dsXNLloQXXnBuPCIikj3OyukDBw5k+/bt/PDDD9m6jq+vL76+vg6KShxq506zKPDs2aZXHswOP0OGmKLe39+18f1r7Vo4fPj6xy0LDh0y57VunWNhiYhkiMN75r29vfnss88cfVnJ5ZKS4J13Mn7++++rV15EJLdzRk4fNGgQX375Jd9//z3ly5e3t5crV47ExERiYmLSnH/ixAnKlSvn0BjESSwLvv/ebNNbu7ZJ9hcvQqNG8Omnpid++PBcU8iDWUjfkeeJiOQkpwyz79KlS67bfk6ca+3ajC96N2aM5p6JiLgLR+V0y7IYNGgQixYt4rvvvqNy5cppjjds2BBvb29Wrlxpb9u1axcHDx60728vuVRiotmepmFDaNsWvvoKbDazDPzq1fDjjxAWZnb7yWUCAhx7nohITnLKAnjVq1fn5ZdfZt26dTRs2NC+5UyKwYMHO+O24kIZfWJdooSG14uIuBNH5fSBAwcyb948lixZQtGiRe3z4P39/SlYsCD+/v7069ePiIgISpQogZ+fH8888wzNmjVLd/E7yQX++cf0vk+aBEeOmLaCBeHRR81w+ho1XBtfBjRvbtbhS06+/jkeHuY8EZHcxin7zF/9tD3NDW02/vrrL0ffMlu0L232rVoFbdrc/LwxY2DkSKeHIyKS7zgrlzkqp9tstnTbZ8yYYV9I7+LFiwwfPpxPP/2UhIQEQkJCmDp1aoaH2Suf55C//oKJE+Hjj+HcOdNWrhw88ww8+aRZGMdNrFwJV2ygcF0rVkC7ds6PR0QEXLzP/L59+5xxWcnFWrWC8uXNg/nrPR7SonciIu7HUTk9I30HBQoUYMqUKUyZMsUh9xQHW7/e7A+/eHFqV/Ztt5mt5R580Ozh5mZWrcr4eSrmRSS3ccqc+RR///03f//9tzNvIbmEp2fqAnjX6XzRonciIm5MOT2funwZFiyAZs2gRQuzKXtyMrRvD8uWwS+/QN++blnIi4i4O4cX8zExMQwcOJBSpUpRtmxZypYtS6lSpRg0aNA1K9RK3tK5M4weDcWLp20PCoLPPtOidyIi7kY5PR87e9YMpa9eHXr1go0bwccH+vWD7dvhm2/gnnuu/wTfTWR0uzltSyciuZFDh9mfOXOGZs2aceTIEXr37k3t2rUB2LFjBzNnzmTlypWsX7+e4ldXe+L2oqPNWjdX7tVaooRpe+EF9ciLiLgb5fR86tAhePddM5wuLs60lSwJTz8NAwdC2bKujc/B/l2H8YZKllQxLyK5k0OL+ZdffhkfHx/27t1L2av+sX/55Ze59957efnll5kwYYIjbysuFh0NPXpcO1f+n39MT33duuqVFxFxN8rp+czWrTB+PMyfb4bWA9SsCcOGQZ8+ZpX6PKZjR/jyy5ufN326OiVEJHdy6DD7xYsX8/bbb1+T9AHKlSvHm2++yaJFixx5S3GxpCTo3z/9Re9S2oYONeeJiIj7UE7PB5KT4fPPTbdzo0Ywb54p5Nu0gS++gB07zOr0eayQv3AB/P0zVsgDlCrl3HhERLLKocX8sWPHuPXWW697vG7duvZ9ZR1l9OjR2Gy2ND+1atVy6D3k+l57DU6fvv5xyzIj9tauzbmYREQk+1yR0yWHnD8P06ZBrVpmwZvVq8HLC3r3Nj30330HDzxgNljPQ5KSzDp+hQqlziDIiEOHnBeTiEh2OHSYfalSpdi/fz/ly5dP9/i+ffsoUaKEI28JwK233sqKFSvsr728nLLjnlwlKSl1BfubOXbMubGIiIhjuSqnixMdPw5TpphCPuVJvL+/6X1/5hmzx2we9emn8NBDWXvvpk3wyCOOjUdExBEcWvWGhITwwgsvsHz5cnx8fNIcS0hI4KWXXqJ9+/aOvCVgivdy5co5/LpyY6+9BmfOZOzcgADnxiIiIo7lqpwuTvDbbzBhAsydC4mJpq1yZTMP7rHHoEgRl4bnTBcuQMWKcOpU1q+R3lRCEZHcwOEL4DVq1Ijq1aszcOBAatWqhWVZ/PHHH0ydOpWEhATmzJnjyFsCsHv3bgIDAylQoADNmjVj7NixVKhQ4brnJyQkkJCQYH8dl5mxVgKYRe9GjcrYuSVLQqtWzo1HREQcy1U5XRzEssw+8OPHm/+maNYMhg+HLl3y7KpuSUmwcqV5TnHkSPavV7169q8hIuIMNsty7PPGffv28fTTT7Ns2TJSLm2z2bjnnnuYPHky1apVc+Tt+Oabb4iPj6dmzZocO3aMMWPGcOTIEbZv307RokXTfc/o0aMZM2bMNe2xsbH4+fk5NL68JikJVq0yW85mtFd+zBgYOdKpYYmI5HtxcXH4+/s7NJfldE7PLmf8DtxOQoJZyG78eLMfPJi57926QUSEKebzqKQk851j7NjUBfmzy9PTLDFw1eAUERGnymg+c3gxn+Kff/5h9+7dAFSrVi3H5tXFxMRQsWJFxo8fT79+/dI9J72e+aCgoPyd/DMgvb3kb6ZkSThxIs8+/BcRyTWcWci6KqdnVr4u5v/+2+yhNnmySbxghs/362eSd+XKro3PiVKK+NdeMwv0O9Kzz8Kbbzr2miIiN5PRfOa0leKKFy9OkyZNnHX56ypWrBg1atRgz5491z3H19cXX1/fHIzK/V1vL/mbef99FfIiIu7OVTldMmDXLpg4EWbNMhPEwSxkN3gwPPEEFCvmyuicbuFCs7DdpUuOv7YKeRHJ7fLWniNAfHw8e/fuJUArrjlMYiI89VTmC/kxY8yoPhEREXEgyzLbyXXqZLaXmz7dFPJ33GEWufvrL1OJ5vFCfvhw6NnT8YX8ww+b2Qoq5EUkt3P7Pdz+85//0LFjRypWrMjRo0cZNWoUnp6ePPjgg64OLU+IjjY71vz9d+beV748vPCCc2ISERHJly5dggULYNw4+Omn1PaOHU1le9ddYLO5Lr4ckpgI9evDH3849rqFC8Ps2eqIEBH34fbF/OHDh3nwwQc5ffo0pUuXpmXLlmzcuJHSpUu7OjS3l9Wh9WD2n9fwehEREQeIiYEPPoB3301duKZAAejb12wvV7OmC4PLGSkL8D7/PPz4o2OvXbw4REVB27b67iIi7sXti/nIyEhXh5AnJSWZ9XKyUshreL2IiIgD7Ntnno5/9BHEx5u2smVh0CAz/61UKdfGl0Oio6F/fzh92vHXnjcPNJhTRNyV2xfz4hxr12Zu1foUGl4vIiKSTRs3mqH00dGpy7PXrWu2lnvwQdMrn08sXGjmxTta9+6mN1498SLizlTMS7qOHcv8e2w2Da8XERHJkqQkWLzYFPEbNqS233uvKeLvvTdfzIdPkZgIjz8Oc+Y49rp33QXLl2vfeBHJG1TMS7oyuxlAUJDZGUfD60VERDIhPh4+/tgk0X37TJuPD/TuDcOGwW23uTS8nJaYCCEhZn68I6mIF5G8SMW8pKtVKzNk/siR68+b9/eHSZNMId+qlXrkRUREMuzwYZNE33sPYmNNW4kS8PTTMHAglCvn2vhyUFISrFxp1vJz9Ar1jzwCH36oIl5E8iYV85IuT08zZL5HDzOq78qCPmWU38cfqydeREQkU37+2Qylj4qCy5dNW/Xqphc+PBwKFXJtfDkoMdEsbPfJJ6agd6QePSAyUh0NIpK3qZiX6+rWzSw8M2RI2sXwypfXkHoREZEMS06Gr782RfyV48fvvtvMh3/gAfDwcFl4OSFla7nvvoP9++Gnn2DnTsffx9MTPv3UOYvmiYjkNnk7c0i2detmku7335vtW77/3kzpUyEvIiKZtWbNGjp27EhgYCA2m43FixenOW5ZFiNHjiQgIICCBQsSHBzM7t27XROsI1y4YIbR16kDHTuaatbTEx56CDZvNq87dcrzhfz8+eDnB8HB8Prr5vuEMwr5Hj0gIUGFvIjkH+qZl5vy9ITWrV0dhYiIuLtz585Rr149HnvsMbql81T4zTff5N1332XWrFlUrlyZl156iZCQEHbs2EEBd9qO7cQJmDIFpk2Dv/82bX5+Zkz54MFmsZk86uoe+NWrzfo7zqTF7UQkv1IxLyIiIjmiQ4cOdOjQId1jlmUxceJEXnzxRTp37gzA7NmzKVu2LIsXLyYsLCwnQ82a33+H8ePNJPDERNNWsaJZ2e2xx0xBn4dcXbgfOmQGHFy8mDP3r1PHLEGgIl5E8isV83JdSUmwdq3Zcz4gQCvWi4iI8+zbt4/jx48THBxsb/P396dp06Zs2LAh3WI+ISGBhIQE++u4uLgciTUNy4IVK0wR/+23qe1Nm8Lw4dC1K3jlva9b0dFmoMHp0665f6dOsGSJa+4tIpJb5L3sIg4RHZ3+wnfvvKP58iIi4njHjx8HoGzZsmnay5Ytaz92tbFjxzJmzBinx5auhASz0tr48fDbb6bNZjPF+/Dh0KxZ6vYvbi7l4f6RI2YGwbp15nuCKxQsCDNmQGioa+4vIpKbqJiXa0RHm0Vkrt5f/sgR075woQp6ERFxvREjRhAREWF/HRcXR5Cz56OfPm0WtZs0CVIeMhQubIbRDxkCVas69/45JKWAX7wYZs6E2FjXxWKzQZcuMHCgWcNHowRFRAwV85JGUpL5LnJ1IQ+mzWYzU/86d1YyFRERxylXrhwAJ06cICAgwN5+4sQJ6tevn+57fH198fX1zYnwYPdusy/rzJlw/rxpCww0C9r17w/Fi+dMHE6UMgd++nRYuhTOnnVtPJ6e8PzzMGqUvnOIiKRHxbyksWpV2qH1V7Mss8DN2rVa4V5ERByncuXKlCtXjpUrV9qL97i4ODZt2sSAAQNcE5RlwQ8/mP3hP/889Ul3/fpmKH2vXm67+tqV6+KUKWP+PG4cxMe7OjKzRs9LL0HbtiriRURuRMW82EVHwxNPZOzcY8ecG4uIiOQ98fHx7Nmzx/563759bNu2jRIlSlChQgWGDh3Kq6++SvXq1e1b0wUGBtKlS5ecD/bSJbj7btiwIbXt/vshIgLatHG7+fBXzntfudIsHnfmjKujSuXjA//9r3rhRUQyQ8W8ANefJ389V4yAFBERyZAtW7bQpk0b++uU+e7h4eHMnDmT5557jnPnztG/f39iYmJo2bIl3377rWv2mPf2hgoVzN5nffqYOWa1a+d8HA6Q3qK2rhYYaJ6JVKxoeuA1F15EJPNslpXR8i3viouLw9/fn9jYWPzy2B6wGZGUBJUqZSzJ22xmVft9+5R0RURyk/yey8AJv4MDB6BQIShdOvvXcpHMPqx3tkKF4OOPtRq9iMiNZDSfqWdeWLs2c0/rJ05UIS8iIvlAxYqujiBbEhPhqadcU8j7+kKTJqYDwMNDPfAiIs6gYl4yPP+9ZEl4/31tSyciIpJbpcyNX7LE7Mee01vKdesGTz+tol1EJCeomJcMz3+PioJ27Zwbi4iIiGSNK+fGBwWZkXt64C8iknNUzAutWplhcEeOpD8UL2WevLaiExERyZ1yam68nx8EB0OtWlCiBJQrB7fcYr5LqCdeRCRnqZgXPD3hnXfMlwCbLe0XgZSddzRPXkREJHdKSjI98s4o5AsXhp49TQGvol1EJHdRMS+AGRa3cOG1w/PKl9ewORERkdwqKQkmTXLs0PqiRSEkxCyep7nvIiK5l4p5sevWDTp3NgvnHDtm5tLrCbyIiEjukbLA3bFjsHs3fPBB9gr5EiXgmWdMvj95UrlfRMSdqJiXNDw9NTdeREQkN3LUAnf+/qY3PyhIhbuIiDtTMS8iIiKSC13dCz96dPbmxaesg/Pxx5o+JyKSF6iYFxEREcllnLHNnNbBERHJW1TMi4iIiOQijtxmrnRp6N3brImjIfUiInmLinkRERGRXMKR28xNmGAWt1MBLyKSN6mYFxEREckl1q7N/tB6m80MqVchLyKSt6mYFxEREXGRKxe5CwiAI0eyd72URe4mTlQhLyKS16mYFxEREXGB9Ba5K1Uqe9fUInciIvmHinkRERGRHHa9Re7+/jtz1ylfHp54AqpXNz37WuRORCT/UDEvIiIikoMyusidzZb2nJTXY8aoeBcRERXzIiIiIjkqo4vclSoFp06lvtYQehERuZKKeREREZEcdOxYxs6bMAFuuSV1cTz1wouIyJVUzIuIiIjkoICAjJ13yy3QurVTQxERETfm4eoARERERPKTVq3MkPmUbeSuZrNBUJA5T0RE5HrUM+9AV+8Vm5XhcBm5xo3OSe8YpG1r3hzWr7/+aw3jExGR/M6ZOd3TE955x6xmn94id6B94kVE5OZUzDtIenvFli9vknVGF6rJyDVudA5ce6xkSfPf06dT2zw9zReM673ObNwiIiJ5SU7k9G7dYOHC9M/RInciIpIRNsu62cYo7mHKlCm89dZbHD9+nHr16jFp0iSaNGmSoffGxcXh7+9PbGwsfn5+mb739faKTXm6vnDhzZNyRq4B1z/HkX+LmYlbRERyh+zmstwkqzndEb+DnMrpKddwxAgAERHJWzKaz/JEMR8VFUWfPn2YPn06TZs2ZeLEiSxYsIBdu3ZRpkyZm74/O8k/KQkqVbr+FjM2m3nKvm/f9ZNzRq5xyy3mzxnZysYRMhK3iIjkHnmlmM9OTs/u7yCncrryq4iI3EhG81meWABv/PjxPPHEEzz66KPUqVOH6dOnU6hQIT7++ON0z09ISCAuLi7NT1bdbK9Yy4JDh8x52bnG4cM5V8in3PNmcYuIiDhaZnK6I/M55FxOV34VERFHcPtiPjExka1btxIcHGxv8/DwIDg4mA0bNqT7nrFjx+Lv72//CQoKyvL9M7pX7I3Oy+g1XCE3xyYiInlLZnO6I/M55GxOV34VEZHscvti/u+//yYpKYmyZcumaS9btizHjx9P9z0jRowgNjbW/nPo0KEs3z+je8Xe6LyMXsMVcnNsIiKSt2Q2pzsyn0PO5nTlVxERya58uZq9r68vvr6+DrlWyl6xR46kvwhdyty4G+0Vm5FrpMyZv945jpaRuEVERFzJkfkcci6nK7+KiIgjuH3PfKlSpfD09OTEiRNp2k+cOEG5cuWcfv+UvWIhdZXaFBndKzYj13jnnZufk96xrNAetyIi4gr5Jacrv4qIiCO4fTHv4+NDw4YNWblypb0tOTmZlStX0qxZsxyJIWWv2JTe8xTly2d8e7eMXONG53z2mfm5+ljJkql7zae4+gvE1a8zE7eIiIij5KecLiIikl15Zmu68PBw3nvvPZo0acLEiROZP38+O3fuvGbeXXoctZ2PI/aKzcg1bnROescgbVvz5rB+/fVfa49bERH3k5e2pstqTnfk7yCncrqIiMjV8tU+8wCTJ0/mrbfe4vjx49SvX593332Xpk2bZui9eeULkIiI5F95KZdlNafnpd+BiIjkX/mumM8OJX8REXF3ymX6HYiISN6Q0Xzm9nPmRURERERERPIbFfMiIiIiIiIibiZf7jN/tZSZBnFxcS6OREREJGtSclh+nj2nfC4iInlBRnO6inng7NmzAAQFBbk4EhERkew5e/Ys/v7+rg7DJZTPRUQkL7lZTtcCeJg9bI8ePUrRokWx2Ww5eu+4uDiCgoI4dOhQvlqsR59bnzs/yK+fG/LvZ3fl57Ysi7NnzxIYGIiHR/6cRad87hr59bPrc+tz5xf59bO7Q05Xzzzg4eFB+fLlXRqDn59fvvo/Rwp97vxFnzv/ya+f3VWfO7/2yKdQPnet/PrZ9bnzl/z6uSH/fvbcnNPz56N7ERERERERETemYl5ERERERETEzaiYdzFfX19GjRqFr6+vq0PJUfrc+tz5QX793JB/P3t+/dySv//u8+tn1+fW584v8utnd4fPrQXwRERERERERNyMeuZFRERERERE3IyKeRERERERERE3o2JeRERERERExM2omBcRERERERFxMyrmc5FOnTpRoUIFChQoQEBAAI888ghHjx51dVhOtX//fvr160flypUpWLAgVatWZdSoUSQmJro6NKd77bXXaN68OYUKFaJYsWKuDseppkyZQqVKlShQoABNmzblxx9/dHVITrdmzRo6duxIYGAgNpuNxYsXuzokpxs7diyNGzemaNGilClThi5durBr1y5Xh5Ujpk2bxu23346fnx9+fn40a9aMb775xtVhiQsppyun51X5Lafnx3wO+Tenu1s+VzGfi7Rp04b58+eza9cuPvvsM/bu3UuPHj1cHZZT7dy5k+TkZN577z1+//13JkyYwPTp03n++eddHZrTJSYm0rNnTwYMGODqUJwqKiqKiIgIRo0axU8//US9evUICQnh5MmTrg7Nqc6dO0e9evWYMmWKq0PJMatXr2bgwIFs3LiR5cuXc+nSJe69917OnTvn6tCcrnz58rzxxhts3bqVLVu20LZtWzp37szvv//u6tDERZTTldPzovyY0/NjPof8m9PdLp9bkmstWbLEstlsVmJioqtDyVFvvvmmVblyZVeHkWNmzJhh+fv7uzoMp2nSpIk1cOBA++ukpCQrMDDQGjt2rAujylmAtWjRIleHkeNOnjxpAdbq1atdHYpLFC9e3Prwww9dHYbkEsrp+YNyet6WX/O5ZeXvnJ6b87l65nOpM2fOMHfuXJo3b463t7erw8lRsbGxlChRwtVhiAMkJiaydetWgoOD7W0eHh4EBwezYcMGF0YmOSE2NhYg3/3/OSkpicjISM6dO0ezZs1cHY7kAsrp+evfgLxKOT1/y4853R3yuYr5XOa///0vhQsXpmTJkhw8eJAlS5a4OqQctWfPHiZNmsSTTz7p6lDEAf7++2+SkpIoW7ZsmvayZcty/PhxF0UlOSE5OZmhQ4fSokUL6tat6+pwcsRvv/1GkSJF8PX15amnnmLRokXUqVPH1WGJCymnK6fnJcrp+Vd+y+nulM9VzDvZ//3f/2Gz2W74s3PnTvv5zz77LD///DPLli3D09OTPn36YFmWCz9B1mT2cwMcOXKE9u3b07NnT5544gkXRZ49WfncInnRwIED2b59O5GRka4OJcfUrFmTbdu2sWnTJgYMGEB4eDg7duxwdVjiQMrpyunK6ZIf5bec7k753Ga5Y1ZxI6dOneL06dM3PKdKlSr4+Phc03748GGCgoJYv359rh3acT2Z/dxHjx6ldevW3HnnncycORMPD/d8zpSVv++ZM2cydOhQYmJinBxdzktMTKRQoUIsXLiQLl262NvDw8OJiYnJN71UNpuNRYsWpfkd5GWDBg1iyZIlrFmzhsqVK7s6HJcJDg6matWqvPfee64ORRxEOf36lNMN5fS8Lb/lc1BOh9ydz71cHUBeV7p0aUqXLp2l9yYnJwOQkJDgyJByRGY+95EjR2jTpg0NGzZkxowZbpv0IXt/33mRj48PDRs2ZOXKlfbEl5yczMqVKxk0aJBrgxOHsyyLZ555hkWLFrFq1ap8m/RTJCcnu+W/33J9yuk3p5yedymn5y/K6alycz5XMZ9LbNq0ic2bN9OyZUuKFy/O3r17eemll6hatarbPcHPjCNHjtC6dWsqVqzI22+/zalTp+zHypUr58LInO/gwYOcOXOGgwcPkpSUxLZt2wCoVq0aRYoUcW1wDhQREUF4eDiNGjWiSZMmTJw4kXPnzvHoo4+6OjSnio+PZ8+ePfbX+/btY9u2bZQoUYIKFSq4MDLnGThwIPPmzWPJkiUULVrUPofS39+fggULujg65xoxYgQdOnSgQoUKnD17lnnz5rFq1SqWLl3q6tDEBZTTldOV0/OO/JjPIf/mdLfL565cSl9S/frrr1abNm2sEiVKWL6+vlalSpWsp556yjp8+LCrQ3OqGTNmWEC6P3ldeHh4up/7+++/d3VoDjdp0iSrQoUKlo+Pj9WkSRNr48aNrg7J6b7//vt0/37Dw8NdHZrTXO//yzNmzHB1aE732GOPWRUrVrR8fHys0qVLW+3atbOWLVvm6rDERZTTldOV0/OO/JjPLSv/5nR3y+eaMy8iIiIiIiLiZtx3IpOIiIiIiIhIPqViXkRERERERMTNqJgXERERERERcTMq5kVERERERETcjIp5ERERERERETejYl5ERERERETEzaiYFxEREREREXEzKuZFRERERERE3IyKeZEcsmrVKmw2GzExMa4OJVNsNhuLFy922PUqVarExIkTHXa9nLZ//35sNhvbtm0D3PfvVUREss5d/+1XTk9LOV3cnYp5EQew2Ww3/Bk9erSrQ7yp0aNHU79+/Wvajx07RocOHXI+oFygb9++dOnSJU1bUFAQx44do27duq4JSkREnEo5PW9STpe8yMvVAYjkBceOHbP/OSoqipEjR7Jr1y57W5EiRdiyZYsrQiMxMREfH58sv79cuXIOjMb9eXp66nciIpKHKafnH8rp4u7UMy/iAOXKlbP/+Pv7Y7PZ0rQVKVLEfu7WrVtp1KgRhQoVonnz5mm+IAAsWbKEO+64gwIFClClShXGjBnD5cuX7ccPHjxI586dKVKkCH5+fvTq1YsTJ07Yj6c8jf/www+pXLkyBQoUACAmJobHH3+c0qVL4+fnR9u2bfnll18AmDlzJmPGjOGXX36x9zzMnDkTuHZI3uHDh3nwwQcpUaIEhQsXplGjRmzatAmAvXv30rlzZ8qWLUuRIkVo3LgxK1asyNTvMikpiYiICIoVK0bJkiV57rnnCA8PT/M0Pb1hffXr10/TWzJ+/Hhuu+02ChcuTFBQEE8//TTx8fH24zNnzqRYsWIsXbqU2rVrU6RIEdq3b2//Ejd69GhmzZrFkiVL7L+TVatWXTMkLz0//PADrVq1omDBggQFBTF48GDOnTtnPz516lSqV69OgQIFKFu2LD169MjU70hERJxHOV05/UrK6ZKbqZgXyWEvvPAC48aNY8uWLXh5efHYY4/Zj61du5Y+ffowZMgQduzYwXvvvcfMmTN57bXXAEhOTqZz586cOXOG1atXs3z5cv766y9CQ0PT3GPPnj189tlnREdH2xNUz549OXnyJN988w1bt27ljjvuoF27dpw5c4bQ0FCGDx/OrbfeyrFjxzh27Ng11wSIj4/n7rvv5siRI3z++ef88ssvPPfccyQnJ9uP33fffaxcuZKff/6Z9u3b07FjRw4ePJjh38+4ceOYOXMmH3/8MT/88ANnzpxh0aJFmf014+Hhwbvvvsvvv//OrFmz+O6773juuefSnHP+/Hnefvtt5syZw5o1azh48CD/+c9/APjPf/5Dr1697F8Gjh07RvPmzW96371799K+fXu6d+/Or7/+SlRUFD/88AODBg0CYMuWLQwePJiXX36ZXbt28e2333LXXXdl+vOJiIjrKaffmHK6iJNZIuJQM2bMsPz9/a9p//777y3AWrFihb3tq6++sgDrwoULlmVZVrt27azXX389zfvmzJljBQQEWJZlWcuWLbM8PT2tgwcP2o///vvvFmD9+OOPlmVZ1qhRoyxvb2/r5MmT9nPWrl1r+fn5WRcvXkxz7apVq1rvvfee/X316tW7Jm7AWrRokWVZlvXee+9ZRYsWtU6fPp3B34Zl3XrrrdakSZPsrytWrGhNmDDhuucHBARYb775pv31pUuXrPLly1udO3e+4TXq1atnjRo16rrXXbBggVWyZEn76xkzZliAtWfPHnvblClTrLJly9pfh4eHp7mvZVnWvn37LMD6+eefLctK/Xv9559/LMuyrH79+ln9+/dP8561a9daHh4e1oULF6zPPvvM8vPzs+Li4q4bq4iI5A7K6WkppyunS+6iOfMiOez222+3/zkgIACAkydPUqFCBX755RfWrVtnf2oPZojaxYsXOX/+PH/88QdBQUEEBQXZj9epU4dixYrxxx9/0LhxYwAqVqxI6dKl7ef88ssvxMfHU7JkyTSxXLhwgb1792Y49m3bttGgQQNKlCiR7vH4+HhGjx7NV199xbFjx7h8+TIXLlzI8FP82NhYjh07RtOmTe1tXl5eNGrUCMuyMhwnwIoVKxg7diw7d+4kLi6Oy5cv23+PhQoVAqBQoUJUrVrV/p6AgABOnjyZqftc7ZdffuHXX39l7ty59jbLskhOTmbfvn3cc889VKxYkSpVqtC+fXvat29P165d7TGJiIj7UE6/PuV0EedTMS+Sw7y9ve1/ttlsAGmGtI0ZM4Zu3bpd876UeXIZUbhw4TSv4+PjCQgIYNWqVdecW6xYsQxft2DBgjc8/p///Ifly5fz9ttvU61aNQoWLEiPHj1ITEzM8D0ywsPD45ovApcuXbL/ef/+/TzwwAMMGDCA1157jRIlSvDDDz/Qr18/EhMT7Un2yr8LMH8fmf2CcbX4+HiefPJJBg8efM2xChUq4OPjw08//cSqVatYtmwZI0eOZPTo0WzevDlTfxciIuJ6yunZp5wuknUq5kVykTvuuINdu3ZRrVq1dI/Xrl2bQ4cOcejQIfuT/B07dhATE0OdOnVueN3jx4/j5eVFpUqV0j3Hx8eHpKSkG8Z3++238+GHH3LmzJl0n+SvW7eOvn370rVrV8Akwf3799/wmlfy9/cnICCATZs22eecXb582T4fMEXp0qXTrDYcFxfHvn377K+3bt1KcnIy48aNw8PDLA0yf/78DMeRIiO/k6vdcccd7Nix47p/h2B6JoKDgwkODmbUqFEUK1aM7777Lt0vfCIi4p6U05XTRZxNC+CJ5CIjR45k9uzZjBkzht9//50//viDyMhIXnzxRQCCg4O57bbb6N27Nz/99BM//vgjffr04e6776ZRo0bXvW5wcDDNmjWjS5cuLFu2jP3797N+/XpeeOEF+/Y6lSpVYt++fWzbto2///6bhISEa67z4IMPUq5cObp06cK6dev466+/+Oyzz9iwYQMA1atXty/Q88svv/DQQw/ZeygyasiQIbzxxhssXryYnTt38vTTTxMTE5PmnLZt2zJnzhzWrl3Lb7/9Rnh4OJ6envbj1apV49KlS0yaNIm//vqLOXPmMH369EzFkfI7+fXXX9m1axd///13mp6C6/nvf//L+vXrGTRoENu2bWP37t0sWbLEvljOl19+ybvvvsu2bds4cOAAs2fPJjk5mZo1a2Y6PhERyb2U05XTRZxNxbxILhISEsKXX37JsmXLaNy4MXfeeScTJkygYsWKgBkytmTJEooXL85dd91FcHAwVapUISoq6obXtdlsfP3119x11108+uij1KhRg7CwMA4cOEDZsmUB6N69O+3bt6dNmzaULl2aTz/99Jrr+Pj4sGzZMsqUKcN9993HbbfdxhtvvGFPuuPHj6d48eI0b96cjh07EhISkubpe0YMHz6cRx55hPDwcJo1a0bRokXtvQIpRowYwd13380DDzzA/fffT5cuXdLMk6tXrx7jx4/nf//7H3Xr1mXu3LmMHTs2U3EAPPHEE9SsWZNGjRpRunRp1q1bd9P33H777axevZo///yTVq1a0aBBA0aOHElgYCBghkBGR0fTtm1bateuzfTp0/n000+59dZbMx2fiIjkXsrpyukizmazsjuZRETEyfr27UtMTEyavXFFRETE/SiniziOeuZFRERERERE3IyKeRERERERERE3o2H2IiIiIiIiIm5GPfMiIiIiIiIibkbFvIiIiIiIiIibUTEvIiIiIiIi4mZUzIuIiIiIiIi4GRXzIiIiIiIiIm5GxbyIiIiIiIiIm1ExLyIiIiIiIuJmVMyL5HE2m41BgwY57HozZ87EZrOxZcuWm57bunVrWrdubX+9f/9+bDYbM2fOtLeNHj0am83msPiyK70YRUREcgPl9MxRTpe8TsW8iAukJM+UnwIFClCjRg0GDRrEiRMnXB2ey73++ussXrzYoddctWpVmt+5t7c3VapUoU+fPvz1118Oucf69esZPXo0MTExDrmeiIjkfsrpN6acLuI8KuZFXOjll19mzpw5TJ48mebNmzNt2jSaNWvG+fPnXR2aQyxbtoxly5bd8JwXX3yRCxcupGlzRuJPMXjwYObMmcP777/P/fffT1RUFI0bN+bo0aPZvvb69esZM2aMEr+ISD6knK6cLpLTvFwdgEh+1qFDBxo1agTA448/TsmSJRk/fjxLlizhwQcfTPc9586do3DhwjkZZpb5+Pjc9BwvLy+8vHLun6JWrVrRo0cPAB599FFq1KjB4MGDmTVrFiNGjMixOEREJG9RTldOF8lp6pkXyUXatm0LwL59+wDo27cvRYoUYe/evdx3330ULVqU3r17A+YLwPDhwwkKCsLX15eaNWvy9ttvY1lWuteeO3cuNWvWpECBAjRs2JA1a9akOX7gwAGefvppatasScGCBSlZsiQ9e/Zk//796V7v/PnzPPnkk5QsWRI/Pz/69OnDP//8k+acq+fXpefq+XU2m41z584xa9Ys+/C5vn378v3332Oz2Vi0aNE115g3bx42m40NGzbc8F7pufp3fj3fffcdrVq1onDhwhQrVozOnTvzxx9/pPkczz77LACVK1e2x36935+IiORtyunK6SLOpp55kVxk7969AJQsWdLedvnyZUJCQmjZsiVvv/02hQoVwrIsOnXqxPfff0+/fv2oX78+S5cu5dlnn+XIkSNMmDAhzXVXr15NVFQUgwcPxtfXl6lTp9K+fXt+/PFH6tatC8DmzZtZv349YWFhlC9fnv379zNt2jRat27Njh07KFSoUJprDho0iGLFijF69Gh27drFtGnTOHDggH0eW1bNmTOHxx9/nCZNmtC/f38Aqlatyp133klQUBBz586la9euad4zd+5cqlatSrNmzTJ9v/R+51dbsWIFHTp0oEqVKowePZoLFy4wadIkWrRowU8//USlSpXo1q0bf/75J59++ikTJkygVKlSAJQuXTrTMYmIiPtTTldOF3E6S0Ry3IwZMyzAWrFihXXq1Cnr0KFDVmRkpFWyZEmrYMGC1uHDhy3Lsqzw8HALsP7v//4vzfsXL15sAdarr76apr1Hjx6WzWaz9uzZY28DLMDasmWLve3AgQNWgQIFrK5du9rbzp8/f02cGzZssABr9uzZ18TesGFDKzEx0d7+5ptvWoC1ZMkSe9vdd99t3X333fbX+/btswBrxowZ9rZRo0ZZV/9TVLhwYSs8PPyaeEaMGGH5+vpaMTEx9raTJ09aXl5e1qhRo645/0rff/+9BVgff/yxderUKevo0aPWV199ZVWqVMmy2WzW5s2brxtj/fr1rTJlylinT5+2t/3yyy+Wh4eH1adPH3vbW2+9ZQHWvn37bhiLiIjkHcrpM+xtyukiOUvD7EVcKDg4mNKlSxMUFERYWBhFihRh0aJF3HLLLWnOGzBgQJrXX3/9NZ6engwePDhN+/Dhw7Esi2+++SZNe7NmzWjYsKH9dYUKFejcuTNLly4lKSkJgIIFC9qPX7p0idOnT1OtWjWKFSvGTz/9dE3s/fv3x9vbO02MXl5efP3115n8LWRcnz59SEhIYOHChfa2qKgoLl++zMMPP5yhazz22GOULl2awMBA7r//fvvwv5R5jlc7duwY27Zto2/fvpQoUcLefvvtt3PPPfc49fOKiIj7UE7PHOV0kezTMHsRF5oyZQo1atTAy8uLsmXLUrNmTTw80j5j8/Lyonz58mnaDhw4QGBgIEWLFk3TXrt2bfvxK1WvXv2ae9eoUYPz589z6tQpypUrx4ULFxg7diwzZszgyJEjaebpxcbGXvP+q69ZpEgRAgICnDqfrFatWjRu3Ji5c+fSr18/wAzHu/POO6lWrVqGrjFy5EhatWqFp6cnpUqVonbt2jdcrCfld1mzZs1rjtWuXZulS5e61QJGIiLiHMrpmaOcLpJ9KuZFXKhJkybXfXqcwtfX95ovA87wzDPPMGPGDIYOHUqzZs3w9/fHZrMRFhZGcnKy0++fUX369GHIkCEcPnyYhIQENm7cyOTJkzP8/ttuu43g4GAnRigiIvmRcnrmKaeLZI+KeRE3VLFiRVasWMHZs2fTPMnfuXOn/fiVdu/efc01/vzzTwoVKmRfzGXhwoWEh4czbtw4+zkXL1687v6qu3fvpk2bNvbX8fHxHDt2jPvuuy/LnyvFjRbbCQsLIyIigk8//ZQLFy7g7e1NaGhotu95PSm/y127dl1zbOfOnZQqVcr+BD87iwSJiEj+pJyunC6SVZozL+KG7rvvPpKSkq55ej1hwgRsNhsdOnRI075hw4Y0c+QOHTrEkiVLuPfee/H09ATA09Pzmi1wJk2aZJ9/d7X333+fS5cu2V9PmzaNy5cvX3PvrChcuPB1v3CUKlWKDh068MknnzB37lzat29vX2XWGQICAqhfvz6zZs1KE9P27dtZtmxZmi86KV8Arhe7iIjI1ZTTldNFsko98yJuqGPHjrRp04YXXniB/fv3U69ePZYtW8aSJUsYOnQoVatWTXN+3bp1CQkJSbONDcCYMWPs5zzwwAPMmTMHf39/6tSpw4YNG1ixYsV1t3dJTEykXbt29OrVi127djF16lRatmxJp06dsv35GjZsyIoVKxg/fjyBgYFUrlyZpk2b2o/36dOHHj16APDKK69k+34389Zbb9GhQweaNWtGv3797NvY+Pv7M3r06DRxA7zwwguEhYXh7e1Nx44dNfdORESuSzldOV0ky1y5lL5IfpWyFUzK1inXEx4ebhUuXDjdY2fPnrWGDRtmBQYGWt7e3lb16tWtt956y0pOTk5zHmANHDjQ+uSTT6zq1atbvr6+VoMGDazvv/8+zXn//POP9eijj1qlSpWyihQpYoWEhFg7d+60KlasmGZLmZTYV69ebfXv398qXry4VaRIEat3795ptnmxrKxvY7Nz507rrrvusgoWLGgB12xpk5CQYBUvXtzy9/e3Lly4cMPfYYqUbWwWLFhww/PSi9GyLGvFihVWixYtrIIFC1p+fn5Wx44drR07dlzz/ldeecW65ZZbLA8PD21pIyKSDyinz7C3KaeL5CybZV01BkdEJJe7fPkygYGBdOzYkY8++sjV4YiIiEgWKaeLZJ3mzIuI21m8eDGnTp2iT58+rg5FREREskE5XSTr1DMvIm5j06ZN/Prrr7zyyiuUKlUqzQJAIiIi4j6U00WyTz3zIuI2pk2bxoABAyhTpgyzZ892dTgiIiKSRcrpItmnnnkRERERERERN6OeeRERERERERE3o2JeRERERERExM14uTqA3CA5OZmjR49StGhRbDabq8MRERHJNMuyOHv2LIGBgXh45M9n9crnIiKSF2Q4p7tui/vc49ChQxagH/3oRz/60Y/b/xw6dMgluXT16tXWAw88YAUEBFiAtWjRojTHw8PDr4k1JCQkzTmnT5+2HnroIato0aKWv7+/9dhjj1lnz57NcAzK5/rRj370o5+89HOznK6eeaBo0aIAHDp0CD8/PxdHIyIiknlxcXEEBQXZc1pOO3fuHPXq1eOxxx6jW7du6Z7Tvn17ZsyYYX/t6+ub5njv3r05duwYy5cv59KlSzz66KP079+fefPmZSgG5XMREckLMprTVcyDfSien5+fkr+IiLg1Vw0v79ChAx06dLjhOb6+vpQrVy7dY3/88QfffvstmzdvplGjRgBMmjSJ++67j7fffpvAwMCbxqB8LiIiecnNcnr+nFQnIiIiOW7VqlWUKVOGmjVrMmDAAE6fPm0/tmHDBooVK2Yv5AGCg4Px8PBg06ZN6V4vISGBuLi4ND8iIiL5hYp5ERERcbr27dsze/ZsVq5cyf/+9z9Wr15Nhw4dSEpKAuD48eOUKVMmzXu8vLwoUaIEx48fT/eaY8eOxd/f3/4TFBTk9M8hIiKSW2iYvYiIiDhdWFiY/c+33XYbt99+O1WrVmXVqlW0a9cuS9ccMWIEERER9tcpcwxFRETyA/XMi4iISI6rUqUKpUqVYs+ePQCUK1eOkydPpjnn8uXLnDlz5rrz7H19fe3z4zVPXkRE8hsV8yIiIpLjDh8+zOnTpwkICACgWbNmxMTEsHXrVvs53333HcnJyTRt2tRVYYqIiORaKuZFRERc4dw52LDB1VE4THx8PNu2bWPbtm0A7Nu3j23btnHw4EHi4+N59tln2bhxI/v372flypV07tyZatWqERISAkDt2rVp3749TzzxBD/++CPr1q1j0KBBhIWFZWglexEREZc5eRJ+/TXHb6tiXkREJCedPw/jx0OVKtChA8TEuDoih9iyZQsNGjSgQYMGAERERNCgQQNGjhyJp6cnv/76K506daJGjRr069ePhg0bsnbt2jR7zc+dO5datWrRrl077rvvPlq2bMn777/vqo8kIiJyYzEx8OKLJqc//DAkJ+fo7bUAnoiISE64cAHeew/eeANOnDBtlSvDX3/BHXe4NjYHaN26NZZlXff40qVLb3qNEiVKMG/ePEeGJSIi4njx8fDuu/DWW6kP5X19TX7/d/pYTnBpz/yaNWvo2LEjgYGB2Gw2Fi9enOa4ZVmMHDmSgIAAChYsSHBwMLt3705zzpkzZ+jduzd+fn4UK1aMfv36ER8fn4OfQkRE5AYuXjQJv2pVGDbMJPpKleDDD2HXrjxRyIuIiOQLFy/CxIkmp7/wgink69aFRYvgxx9ztJAHFxfz586do169ekyZMiXd42+++Sbvvvsu06dPZ9OmTRQuXJiQkBAuXrxoP6d37978/vvvLF++nC+//JI1a9bQv3//nPoIIiIi6bt4ESZPNgl/yBA4dgwqVID33zdFfL9+4O3t6ihFRETkZi5dMvm7enXzYP7kSZPf586FbdugSxew2XI8LJt1ozFxOchms7Fo0SK6dOkCmF75wMBAhg8fzn/+8x8AYmNjKVu2LDNnziQsLIw//viDOnXqsHnzZho1agTAt99+y3333cfhw4evu2BOQkICCQkJ9tcp+9LGxsZqWxsREcmehAT46CN4/XU4csS0BQWZJ/iPPgo+Pk65bVxcHP7+/vk6l+l3ICIiDpWUBJ9+CqNHw969pq18eRg5Evr2ddpD+Yzms1y7AN6+ffs4fvw4wcHB9jZ/f3+aNm3Khn9X/92wYQPFihWzF/IAwcHBeHh4sGnTputee+zYsfj7+9t/goKCnPdBREQkf0hMhOnTzVP7gQNNIV++PEydCrt3w5NPOq2QFxEREQeyLIiOhttvh0f+v717D8+5/uM4/rw3NoaNOcxkzsqZHKMSISRRolApnUMYinI+RMohp9CBFFE5pV8nFMkpyaGciQib0DbHbbbv749P2ywb973d9+773l6P69rV7s/9vb/3+15Xve/35/iYKeSLFTNT7A8cgGee8YjZdR5bzEdERAAQEhKSqj0kJCT5uYiICIoVK5bq+Vy5chEcHJx8TVoGDRpEdHR08s+xY8ecHL2IiOQYcXEpU+9eeAGOHYMSJcwU+4MHTdtVO7aLiIiIh7Is+OYbqFcPOnSA3buhUCEYO9ZsWNu7N+TJ4+4ok+XI3ez9/f1THYUjIiLisPh4mDcPRo+GI0dMW/Hi8Oqrpsfeg5K9iIiI3MCPP5olcT/9ZB7nz2/Wx4eHQ8GCbg0tPR5bzBcvXhyAyMhIQq/aFTAyMpJatWolX3Pq1KlUr7ty5Qpnz55Nfr2IiIhTXbkCH31kivg//jBtISEwcKCZSp83r3vjExEREftt2WLOiv/uO/M4Tx6zXO6VV6BoUffGdgMeO82+bNmyFC9enNWrVye3xcTEsHnzZho2bAhAw4YNiYqKYuvWrcnXfP/99yQmJtKgQYMsj1lERLKxK1fgww+hUiXo3t0U8sWKwYQJ5vc+fVTIi4iIeIvffoMHHoD69U0hnyuXWRp38CC89ZbHF/Lg5pH58+fPc/DgweTHhw8fZvv27QQHB1OqVCn69OnD6NGjqVixImXLlmXIkCGUKFEiecf7ypUr06pVK5555hlmzpxJfHw8PXv25JFHHkl3J3sRERGHXLlidrIdNcpsegMmwb/8skn6+fK5Nz4RERGx34EDMGwYLFxo1sj7+JhN7oYNg7Jl3R2dQ9xazP/yyy80bdo0+XF4eDgA3bp1Y+7cubz88stcuHCBZ599lqioKO644w6++eYb8ly1DnH+/Pn07NmTZs2a4ePjQ4cOHZgyZUqWfxYREclmEhJMoh85EvbvN22FC5sivkcPFfEiIiLe5OhRk9PnzjU5HqBjRxgxAipXdmtoGeUx58y7k86lFRGRZAkJ8OmnJuHv3WvagoNhwADo2dNsiOOBlMv0NxARkTRERMDrr8OsWeYEGoA2bcyMu1tvdW9s6bA3n3nsBngiIiJZKjERPvvMFPG7d5u2QoWgf3/o1QsKFHBvfCIiImK/s2fhzTdhyhS4eNG0NW1qNrBt1Mi9sTmJinkREcnZEhNh8WIzzW7XLtNWsCD06wcvvQQa4RUREfEe587BpElmg9qYGNPWoAGMGQPNmrk3NidTMS8iIjlTYiIsWwbDh5sdbQGCgsyZsn36mN9FRETEO1y6BNOnw7hxcOaMaatRw4zE33cf2Gzujc8FVMyLiEjOYlmwfLkp4nfsMG2BgaaA79vXjMqLiIiId4iLg/feM0X7yZOm7eabzbK5jh3NbvXZlIp5ERHJGSwLVqwwRfy2baatQAHo3dsU8cHBbg1PREREHHDlCnz8sVkmd+SIaStd2hwx99hj5tz4bC77f0IREcnZLAv+9z9TxG/datry5zfr4cPDzXFzIiIi4h0SE+Hzz2HoUNi3z7QVLw6DB8PTT4O/v3vjy0Iq5kVEJHuyLPj6a1PEb9li2vLlMzvT9+sHRYq4NTwRERFxQFLn/JAhsH27aQsOhoEDoUcPCAhwa3juoGJeRESyF8uCb781RfzmzaYtIMAk+gEDoGhRt4YnIiIiDvr+ezPyvnGjeVyggOmY79s3R586o2JeRESyB8uClStNEZ+U7PPmhRdfhJdfhmLF3BqeiIiIOGjTJnjtNVPMg8nrvXqZvK5lcirmRUTEy1kWrF5tivj1601bnjzwwgsm2Rcv7tbwRERExEHbt5vp9F9+aR7nzg3PPQevvgqhoW4NzZOomBcREe/1ww9m19p168xjf394/nl45RUlexEREW+zb5/Z2O7TT81jX1/o1s20lS7t3tg8kIp5ERHxPmvXmiJ+7Vrz2N8fnn3WbIJTooR7YxMRERHHHDlijpibN8/sVg/wyCOm7eab3RqaJ/NxdwAiIiJ2W7cO7r4bmjQxhbyfn9nY7tAhmDJFhbwb/fjjj7Rt25YSJUpgs9lYtmxZ8nPx8fG88sorVK9enXz58lGiRAkef/xxTpw4keoeZcqUwWazpfoZN25cFn8SERHJMidOmDx+880wd64p5O+/H3bsgE8+USF/AyrmRUTE861fD82bQ+PGZmp97txmTfzBgzBtGtx0k7sjzPEuXLhAzZo1mT59+jXPXbx4kV9//ZUhQ4bw66+/smTJEvbt28f9999/zbUjR47k5MmTyT+9evXKivBFRCQrnT5tTpgpXx5mzID4eJPnN22C5cuhRg13R+gVNM1eREQ816ZNZjr9d9+Zx7lywVNPmQ1wSpVyb2ySSuvWrWndunWazwUFBbFy5cpUbdOmTaN+/focPXqUUlf9uyxQoADFtWmhiEj2FB0NEyfCpElw7pxpa9QIxowxs+7EIRqZFxERz/Pzz9C6NTRsaAr5XLng6afhwAGYOVOFfDYQHR2NzWajYMGCqdrHjRtH4cKFufXWW3nzzTe5cuVKuveIjY0lJiYm1Y+IiHigCxfgjTegbFkYOdIU8rfeCv/7H/z0kwr5DNLIvIiIeI4tW8wRc199ZR4n7WI7eLD5AiDZwuXLl3nllVfo3LkzgYGBye0vvfQStWvXJjg4mA0bNjBo0CBOnjzJxIkT07zP2LFjGTFiRFaFLSIijoqNhdmzzch7ZKRpq1zZFPQPPgg+GlvODJtlWZa7g3C3mJgYgoKCiI6OTvWlQkREssjWraaITzpP1tcXHnvMFPHly7s1NG/hSbnMZrOxdOlS2rdvf81z8fHxdOjQgb/++os1a9ZcN9YPPviA5557jvPnz+Pv73/N87GxscTGxiY/jomJISwszCP+BiIiOdqVK/Dhh6ZoP3rUtJUrZ3J9ly4mz0u67M3pGpkXERH32bbNJPYvvjCPfXzg0UdhyBCoUMGtoYnzxcfH06lTJ/7880++//77GxbcDRo04MqVKxw5coRbbrnlmuf9/f3TLPJFRMRNEhNh0SKz382BA6atRAlzTnz37mYDW3EaFfMiIpL1duwwRXzS8WU+PqanfsgQHUOTTSUV8gcOHOCHH36gcOHCN3zN9u3b8fHxoVixYlkQoYiIZJhlmY75IUPgt99MW5EiMGiQOX0mb173xpdNqZgXEZGs89tvpohfssQ8ttmgc2eT/CtVcmtokjnnz5/n4MGDyY8PHz7M9u3bCQ4OJjQ0lIceeohff/2VL7/8koSEBCIiIgAIDg7Gz8+PjRs3snnzZpo2bUqBAgXYuHEjffv25dFHH6VQoULu+lgiInI9lgUrV5plcVu2mLagIOjfH3r3hgIF3BtfNqc183jWOkMRkWzp999hxAj4/HPz2GaDTp3MtLsqVdwbWzbh7ly2Zs0amjZtek17t27dGD58OGXT2cDwhx9+oEmTJvz666+8+OKL7N27l9jYWMqWLctjjz1GeHi43VPp3f03EBHJUX76CV57DX780TzOl88U8P37gzphM0Vr5kVExP127zab33z6qem9B+jY0aylq1rVvbGJUzVp0oTrjQ/caOygdu3abNq0ydlhiYiIs/36qxmJ//pr89jf30ylHzQItCwqS6mYFxER59u71xTxCxemFPEdOpgivnp198YmIiIijtu928yoW7zYPM6Vy2xqN3gwhIW5N7YcSsW8iIg4z/79poj/5BOzoy3AAw+YIr5mTffGJiIiIo47dMgslfv4Y9NBb7NB165mDxwdH+tWKuZFRCTzDhyAUaNg/vyUIr5dO5Poa9VyZ2QiIiKSEX/9ZXL7Bx+Yc+MBHnzQdNprqZxHUDEvIiIZd+iQSfQffwwJCaatbVtTxNeu7dbQREREJANOnYKxY+GddyA21rS1agWjR0OdOu6NTVJRMS8iIo774w+T1OfNSyni27QxRXzdum4NTURERDLgn3/grbfg7bfhwgXT1rixyfd33une2CRNKuZFRMR+R46YpP7hhylT7lq3NkV8/frujExEREQy4vx5mDIF3nwToqJMW926MGYMtGhh1siLR/JxdwDXk5CQwJAhQyhbtix58+alfPnyjBo1KtXxNpZlMXToUEJDQ8mbNy/NmzfnwIEDboxaRCQbOnoUnnsOKlaE9983hfw998DGjfDVVyrkRUREvM3lyzBpEpQrZ86Lj4qCatVg6VL4+WeT51XIezSPLubfeOMN3nnnHaZNm8aePXt44403GD9+PFOnTk2+Zvz48UyZMoWZM2eyefNm8uXLR8uWLbl8+bIbIxcRySaOHTNnx1aoALNnmyK+eXNYvx6+/RZuu83dEYqIiIgj4uNh1iyT28PD4e+/ze/z58P27dC+vYp4L+HR0+w3bNhAu3btaNOmDQBlypThk08+4eeffwbMqPzkyZMZPHgw7dq1A2DevHmEhISwbNkyHnnkEbfFLiLi1f76y2x+8957EBdn2u6+2xxNc8cd7o1NREREHJeQAAsWmKVxf/xh2sLCzNnx3bpB7txuDU8c59Ej840aNWL16tXs378fgB07dvDTTz/RunVrAA4fPkxERATNmzdPfk1QUBANGjRg48aN6d43NjaWmJiYVD8iIgKcOAG9eplzY2fMMIV8kyawdi2sXq1CXkRExNtYFixeDDVqwOOPm0K+WDGz0d3+/fD00yrkvZRHj8wPHDiQmJgYKlWqhK+vLwkJCYwZM4auXbsCEBERAUBISEiq14WEhCQ/l5axY8cyYsQI1wUuIuJtTp6EcePMtLukY2gaNzYj8U2auDU0ERERyQDLgm++gcGD4ddfTVuhQvDyy6bjPl8+98YnmebRxfynn37K/PnzWbBgAVWrVmX79u306dOHEiVK0K1btwzfd9CgQYSHhyc/jomJISwszBkhi4h4l4gIeOMNmDnTbIQDcPvtpoi/+26tmRMREfFGa9eaIv6nn8zj/Pmhb1+zRr5gQbeGJs7j0cX8gAEDGDhwYPLa9+rVq/Pnn38yduxYunXrRvHixQGIjIwkNDQ0+XWRkZHUqlUr3fv6+/vj7+/v0thFRDxaZCSMHw/vvAOXLpm2hg1NEd+8uYp4ERERb7Rli9mZfuVK8zhPHujRA155BYoWdW9s4nQevWb+4sWL+PikDtHX15fExEQAypYtS/HixVm9enXy8zExMWzevJmGDRtmaawiIl7h77/N9Lpy5WDiRFPIN2hgpuGtX6/zZEVERLzRb7+ZXejr1zeFfK5c5jSaQ4fgrbdUyGdTHj0y37ZtW8aMGUOpUqWoWrUq27ZtY+LEiXTv3h0Am81Gnz59GD16NBUrVqRs2bIMGTKEEiVK0L59e/cGLyLiSU6fNsl82jS4cMG01atnRuJbtVIBLyIi4o0OHIBhw2DhQrNG3scHHnvMtJUt6+7oxMU8upifOnUqQ4YM4cUXX+TUqVOUKFGC5557jqFDhyZf8/LLL3PhwgWeffZZoqKiuOOOO/jmm2/IkyePGyMXEfEQZ87AhAkwdSqcP2/a6tQxRfy996qIFxER8UZHj8LIkTB3rjlyDqBjR5PfK1d2a2iSdWyWZVmOvODYsWPYbDZKliwJwM8//8yCBQuoUqUKzz77rEuCdLWYmBiCgoKIjo4mMDDQ3eGIiGTe2bNmGv2UKXDunGm79VaT5O+7T0V8NpSRXJbdcrryuYhkexER8Prr5vSZuDjT1qYNjBpl8rxkC/bmM4fXzHfp0oUffvgBMEfDtWjRgp9//pnXXnuNkSNHZjxiERHJvH/+gaFDzdS6MWNMIV+rFixbBlu3Qtu2KuQlmXK6iIiXOHsWBg6E8uXNbLu4OGjaFDZsgC+/VCGfQzlczP/+++/Ur18fMEfHVatWjQ0bNjB//nzmzp3r7PhERMQe0dFm1L1sWdM7HxMDNWrAkiWmiG/XTkW8XEM5XUTEw8XEmOn0Zcuao2QvXjQb165aBd9/b06ikRzL4TXz8fHxyce6rVq1ivvvvx+ASpUqcfLkSedGJyIi1xcTA2+/babUR0WZtmrVzMY3Dz5oNsIRSYdyuoiIh7p0CaZPh3HjzP43YDrpR4/WcjlJ5vC3vKpVqzJz5kzWrVvHypUradWqFQAnTpygcOHCTg9QRETSEBNjptGXKWOm1UdFQZUqsGgR7NgBDz2kQl5uSDldRMTDxMXBjBlmOv2AAaaQv/lms1v9tm1aLiepOPxN74033mDWrFk0adKEzp07U7NmTQC++OKL5Kl6IiLiIufOwdixZrrd4MFmjXylSvDJJ7BzJ3TqpCJe7KacLiLiIa5cgTlzTOHeowecPAmlS8MHH8CuXfDww8rvcg2Hd7MHSEhIICYmhkKFCiW3HTlyhICAAIoVK+bUALOCdr8VEY93/ryZbvfmmynT7W65xYzKP/ww+Pq6Nz4vk5AA69aZ70qhoXDnneZPmF67Pa91xvtnRkZzWXbK6crnIuJ1EhPh889NPt+3z7SFhpoO+6efBj8/98YnN+TOnJ6h7h3Lsti6dSuzZs3i3L9HHvn5+REQEJCxaEVEJG0XLpgCvmxZs4vtmTNQsSJ89JHpqe/SRYW8g5YsMasTmjY1f76mTc3jl19Ou33Jkhu/9uprMvr+jtzDmZyV03/88Ufatm1LiRIlsNlsLFu27Jr3GTp0KKGhoeTNm5fmzZtz4MCBVNecPXuWrl27EhgYSMGCBXnqqac4f/58pj6fiIhHsiyzC33t2qZTft8+KFzY5PyDB+HFF1XIZ4GEBFizxkxwXLPGPHaEu3O6wyPzf/75J61ateLo0aPExsayf/9+ypUrR+/evYmNjWXmzJmuitVl1JMvIh7n4kV45x0YPx5OnTJt5cubnvsuXSCXw/uXepWkXu7jx+Hvv6FoUShe3Dx36hQkDRhf7/ek3nFI6TE/cACGDzffoeyRtCzx88/NPx966NrXXn3Ngw9e/35LlmT+HunJSC5zZk7/+uuvWb9+PXXq1OHBBx9k6dKltG/fPvn5N954g7Fjx/Lhhx9StmxZhgwZwm+//cbu3bvJkycPAK1bt+bkyZPMmjWL+Ph4nnzySerVq8eCBQtc9jcQEcly338Pr70GmzaZxwUKQP/+0KcP6P9dyf474t2okTmJ7+oRcEh/VPxGI+ZLlkDv3vDXXyltJUuafYXtycWekNMdLubbt29PgQIFeP/99ylcuDA7duygXLlyrFmzhmeeeeaaXnZvoOQvIh7j0iWYNcvsXhsZadrKlYMhQ+DRR726iL+6QI+MTFktEBxsivAzZ8ygxA8/wPLl5kjdzErawy3pvTLCZoObbjK/X53w/3tNyZJw+HD6EyUSEkxvfWbucT0ZyWWuyuk2my1VMW9ZFiVKlKBfv370798fgOjoaEJCQpg7dy6PPPIIe/bsoUqVKmzZsoW6desC8M0333Dvvffy119/UaJEiWveJzY2ltjY2FR/g7CwMOVzEfFMGzea6fPff28e580LvXqZqWE5YNPRq4vrpM73iIiUTvubbkop2Jcvh/nzzXNJkpbDJUkrxycV43D9Qj2zhbin5HSHvxWuW7eODRs24PefaR9lypTh+PHjjkcqIiJw+TLMnm2K+KQjwcqUMUX8Y49B7txZHlLS1LPvv4cjR+wfzQazR09YmCnUo6Jg715YvRqio10UbDoyU8Qnsaz0k/XV1xw7Zr6kNGmS9jXr1l3/Pvbcw9myKqcfPnyYiIgImjdvntwWFBREgwYN2LhxI4888ggbN26kYMGCyYU8QPPmzfHx8WHz5s088MAD19x37NixjBgxwmlxioi4xPbtpoj/3//MYz8/eO45ePXVlGlnXibpO8KaNWbZ/3875v/7T3s76v9bsP/3Pa+WVo4/fhw6dEj79cePmwJ+0SIID0/7e41lmUK8Tx9o1y79QtxTcrrDxXxiYiIJafyF//rrLwoUKOCUoEREcozLl+G998wO9SdOmLZSpUzS79bNJevlkhLwqlWwZYuZ0X/5Mvj7Q2ws5Mlj9tvbt8+ckCP2u97R7PYe256Vx7tnVU6PiIgAICQkJFV7SEhI8nMRERHXbLiXK1cugoODk6/5r0GDBhEeHp78OGlkXkTEI+zdC8OGwaefmse+vvDEE6ajvnRpt4aWnrQ68q/uoD971oyc//yz+e7givfPjOsNPCQV6j16pB7xT+u6GxXinpLTHS7m77nnHiZPnszs2bMBM5Xu/PnzDBs2jHvvvdfpAYqIZEuxsfD++/D666arGEymfO01ePLJDBXxCQnw3XcwYQL8+adJRrlzm2IdTAK7csVMactsspS0hYZm7LmMXOcM3p7T/f398ff3d3cYIiKpHTkCI0bAvHlm2Npmg0ceMZu23HyzS94yLg6mTIGlS80suGLFzNtevmw66cH8njevmdKe1lH1x46ZIj07d+Rb1vUL+atdrxD3lJzucDE/YcIEWrZsSZUqVbh8+TJdunThwIEDFClShE8++cQVMYqIZB9xcebM2NdfN1kTzKKqV1+F7t3N8PhVkgr0t96CPXtMYe7ra3rJbTbzvK+v+a7gjCnlcq2r18wfP552r3/S2rikzXjScued5prM3MPZsiqnF/93GmlkZCShV32ziYyMpFatWsnXnEra7PFfV65c4ezZs8mvFxHxaCdOwJgx8O67EB9v2tq1g1GjoHr1DN0yqUhfssTcPiAgZSbdxYvm8ZkzKXvlJtm1K5OfRa5biHtKTne4mC9ZsiQ7duxg4cKF7Ny5k/Pnz/PUU0/RtWtX8ubN64oYRUS8X1wczJ1rkvzRo6atRAmuvPwqb194mven+nPs5ZTcD6ZAv/qxZL2kkYukzXQeesi0XZ24k66ZPPn6m9z4+pr7ZOYezpZVOb1s2bIUL16c1atXJxfvMTExbN68mRdeeAGAhg0bEhUVxdatW6lTpw4A33//PYmJiTRo0MBpsYiION3p02bPm+nTU+aet2gBo0dD/frXXG5vR/2lS2bZmzhf0aLmX1tGC3GPyemWWNHR0RZgRUdHuzsUEclu4uIs6913rYTSZSzL/L/eOk6o1cs2xcrDpaQm/bj5JyzMsgYMsKySJa9tX7w45V/n4sU3vuZGnHGPtLg7l507d87atm2btW3bNguwJk6caG3bts36888/LcuyrHHjxlkFCxa0li9fbu3cudNq166dVbZsWevSpUvJ92jVqpV16623Wps3b7Z++uknq2LFilbnzp3tjsHdfwMRyWGioixryBDLyp8/+X/oiY1utza9scZq2tSyChWyrDx5LCtfPssKDDSX+fu7P+fl5B+bzeTczz4zv9ts1z5vs9mfk92d0x0+mm7evHnXff7xxx/PaL+C2+hoOhHJjEuXzMkyixebdWqWBbmJ51E+YjCjKcdhAE5SnHEMZDbPchnNZHKXpB70ESOgYsXUZ8/e6ExasO+aG3HGPf4rI7nMmTl9zZo1NG3a9Jr2bt26MXfuXCzLYtiwYcyePZuoqCjuuOMOZsyYwc1XrR89e/YsPXv2ZMWKFfj4+NChQwemTJlC/vz57YpB+VxEXO3SJRjw4gVCP5/KC+fHE8w/APxKbQYzmq9pBaSxIF2yxNWj5OmNmCcdO5fWOfNhYWZE3ZHz4d2Z0x0u5gsVKpTqcXx8PBcvXsTPz4+AgADOOuNg4Cym5C8i9rq6cI+KuvZ5X67QlfkMYRQVOARAJMUYx0Bm8RyXCMjagHO4tM6gzUii9gYZyWXZLacrn4uIs50/D126mB3eY8/F8hyzeJXXKU4kALupzBBGsYQHURHvWvacM5+U48G+Qt0VhbgzuOyc+X/++eeatgMHDvDCCy8wYMAAR28nIuKR4uLMWraJE+3bWM6XK3TmE4Ywips5AMApivIGr/AOL6iIz6BChczeQc2bpxzFe+qU2aX3Rr8nJWXwzETtCZTTRURMwd65szmyNa3j1ny5whPMZSgjKYXZvPYQ5RjOcBbQhUSUVJzlvwV70aLQtav5LtCokTkW7+p8Dunn+Hbtbpz/fX1dew68qzk8Mp+eX375hUcffZS9e/c643ZZSj35IpKUyFeuNDvE2suHBB5hIUMZyS3sB+BvivAmA5hODy6Sz0URe7fAQFOgV6pkzq0tVsx0mhQubP5ZtKjZQV6Ft/2cmcu8Nacrn4vI9STNrvv8c7Ms7kZsJPIICxnBMCpyEIC/uIlRDOEDunOF3C6OOHsKDjb/Hu680xyX+/ffKXk/rYI9J34PcNnIfLo3ypWLEydOOOt2IiIucekS9OgBCxea3zPKhwQ68SlDGUllTMFzhmDeZADT6MkF7Fvj601y5YLbbjPT1G7Ex8dcFxycshwhONiMrqtI93zK6SLizTKf6y3asZxRDKE6vwNmtt1YBjGT57XvzVXy5IE2baBhw2s75v/7T3s76r15pDyrOVzMf/HFF6keW5bFyZMnmTZtGrfffrvTAhMRcYboaLjnHvj5Z+fcz0YiHfmMoYykKrsBOEsh3qI/U+nFeQo4542yWJkyptCOjTWJOSDAJF1fXyhdGu6+2yRXFeDZi3K6iHizpCVxEyaAc7b4sGjBSkYzmPpsASCKIN5kAG/TO1t21F9P7tzQoIH5HpDUQX/2rFmHXqqUvht4AoeL+fbt26d6bLPZKFq0KHfffTcTJkxwVlwiIhly6RK88AIsWODcM9ptJNKBxQxjBNXYBcA/FGQC/ZjCS5zDM6f0lihhRtTB7OIaEGCK9bx5oWxZ6NbNJGMl4pxJOV1EvIHzi/Zr3c5PjOE17uJHAM6Tj7fpzVv0J4pCN3i156lSxXTSX75s8j6Y3/PmNZ31tnT26vPxUSe+N3G4mE9MTHRFHCIiDjt/Hh55BL7+Glz1vyYbiTzAUoYxghr8Bphe+omE8za9iSHINW98HX5+Zs25zWY2ifH1NYnaxwfy54eaNeGJJ1Sky40pp4uIJ3JVx3xaarOV0QymNd8AcBl/3uEFxjKIvynm2jfPgEKFTLEdGwsXL6qTPqdz2pp5ERFXO3vWrMnavz8r3s2slxvOcGqxA4BoAplMHybRl2gKuuydfX3NaLrNZv6ZLx+UK2eOUnnpJVPMi4iIZBdxcTB+PLzxhumozwpV2MVIhtKBJQDEk4sP6M4ohnCcklkTxFUCAszPfzvqfX3NLLsHHtB3ALmWXcV8eHi43TecOHFihoMREUmS1Cs/fz5cuZKV72zRlhUMZzi12QZADAV4m95MJNypU+1y5TLr0fLlgxo14OWXzQ7v6k0XV1JOFxF3S0iA5cvh+efNTuZZqRyHGM5wujIfHywSsTGfrgxnOH9Q3iXvmTRzLjERLCsl91eqBAMGKPdLxtlVzG/bts2um9nSW3whInID0dHQogVs2eKuCCza8D+GM5y6bAXgHPmZwktMJJyzFM7wnX18TJIOCjI962+/babDibiDcrqIuIO78/xN/MUQRtGdD8iNGSVYzIMMZSS7qZqpe/v6mhH1xETze968ULKkmfLep49G08V17Crmf/jhB1fHISI51NmzEBKS1aPvV7NozdcMZ3jyzrXnycdUejGBfpyhiF13yZsXbrkFXn/d7J6vHnbxVMrpIpIVko6H++QTs/GauxTlFIMYywu8Qx5iAfiaVgxmNL9SJ0P3LFAAGjc2R9/lz1kb3IuH0Zp5EclS7u6ZT2HRkm8ZznBuYzMAFwhgGj15i/6cpmi6r/Tzg9BQswygb1/1uIuIiEDK9PnOnc06eHcqyD/05y168zb5uQDAWhrzGmNYzx123cNmM7PrAgJUvItnylAx/8svv/Dpp59y9OhR4v7zX+qSJUucEpiIZA/uW/ueHnOG7HCG04iNAFwkL9PpwZsMSLVzrc1mjm/p0wf69VPRLtmTcrqIZIbndNIb+ThPb96mP29RiCgAfqYegxnNSloA1y4hstnMZnOaYSfexsfRFyxcuJBGjRqxZ88eli5dSnx8PLt27eL7778nKMj5RzQdP36cRx99lMKFC5M3b16qV6/OL7/8kvy8ZVkMHTqU0NBQ8ubNS/PmzTlw4IDT4xARx5w9azZ3CQiADz/0hELeohmrWMedfEdLGrGRS+RhIn0pxx+8zJuc9S1G+fKwYoWJNzERIiNh0CAV8pI9ZXVOF5HsIzoa/P2hYEHPKOT9uUwfJvEH5RjDYAoRxW9Uox3LaMBmVnIPYMPXl1S53rJMvr94EbZtg9atVciL93C4mH/99deZNGkSK1aswM/Pj7fffpu9e/fSqVMnSpUq5dTg/vnnH26//XZy587N119/ze7du5kwYQKFCqXsJj1+/HimTJnCzJkz2bx5M/ny5aNly5ZcdufiHJEc7NIls368cGGTGD1BE35gLXexihbcwXou48/svL15d+Af9IydSIRVHMsySf3gQbjvPiVyyRmyMqeLSPZw9qzZjb1gQfdPpQfIRTzPMouDVGAS4RTjbw5Qga62BTxYbgfPrGjHlSs2LAvlesl2bJZlWY68IF++fOzatYsyZcpQuHBh1qxZQ/Xq1dmzZw933303J0+edFpwAwcOZP369axbty7N5y3LokSJEvTr14/+/fsDEB0dTUhICHPnzuWRRx6x631iYmIICgoiOjqawMBAp8UvkpNcumSmpx075u5IUjRmLSMYRhPWApCQ2x/bc8/iM2igObRVJBvJSC7LypyeFZTPRVzn7Fmz9Cwx0d2RGD4k0IUFDGc45fkDgMSSYfgMG2q2kc+d280RimScvfnM4ZH5QoUKce7cOQBuuukmfv/9dwCioqK46ORhuC+++IK6devSsWNHihUrxq233sq7776b/Pzhw4eJiIigefPmyW1BQUE0aNCAjRs3pnvf2NhYYmJiUv2IiOMSEmDJEjPNLiDAcwr5O1nH2lx3s5YmppD384MePfA9fAifqVNUyIv8Kytzuoh4p+hoUxcXLuz+Qj4gAJ56MpHL8z8noXJ1PuJxU8iHhMDbb+Nz8AA8/bQKeckxHC7mGzduzMqVKwHo2LEjvXv35plnnqFz5840a9bMqcH98ccfvPPOO1SsWJFvv/2WF154gZdeeokPP/wQgIiICABCQkJSvS4kJCT5ubSMHTuWoKCg5J+wsDCnxi2S3SUkwMsvQ65c0KGDe6fZ2WxQrJjZsCbuh/VYzZrzI41pfOUHk8xfeMHMp5s2DW66yX2BinigrMzpIuJdEhKgeHEznd5d+94ULAijR0NsLFiJFhc+/5r3dtTDv2tH2LMHChWCcePg0CF46SUzuiCSg9g9zf7333+nWrVqnD17lsuXL1OiRAkSExMZP348GzZsoGLFigwePDjVevbM8vPzo27dumzYsCG57aWXXmLLli1s3LiRDRs2cPvtt3PixAlCQ0OTr+nUqRM2m41Fixaled/Y2FhiY2OTH8fExBAWFqZpeSI3cP483HUX/Pqr+2Lw9YU6deC77yB5f66NG2HYMPi3KCF3bujeHV59FbTuV3IIR6aYuyOnZwVNsxfJvLg4M0t94cKsf++8eaFpU1i06D9HwK1dC6+9BuvXm8f580N4uPnRZp2SDdmbz+w+mq5GjRrUq1ePp59+Onktuo+PDwMHDsx8tOkIDQ2lSpUqqdoqV67M4sWLAShevDgAkZGRqYr5yMhIatWqle59/f398VfPnYhdks6Mffhh9/TMBwZCp04wZYpJ8qls3myK+G+/NY9z5YInnzQJv3TpLI9VxFu4I6eLiOfr0wfefjvr3s/X1xwD9+mn6Zzf/vPPMHhwSmd9njzQsye88goUKZJ1gYp4KLun2a9du5aqVavSr18/QkND6datW7ob0znL7bffzr59+1K17d+/n9L/fkkvW7YsxYsXZ/Xq1cnPx8TEsHnzZho2bOjS2ERygo8+SplKn5WF/PLlKcfFREfDu+/+p5DfsgXatIHbbjOFvK8vPPUU7N8Ps2erkBe5AXfkdBHxXGfPmlSaFYV8iRIpef7KFfjqqzQK+Z07oX17aNDAFPJJy+YOHYI331QhL/Ivu4v5O++8kw8++ICTJ08ydepUjhw5wl133cXNN9/MG2+8cd016hnVt29fNm3axOuvv87BgwdZsGABs2fPpkePHgDYbDb69OnD6NGj+eKLL/jtt994/PHHKVGiBO3bt3d6PCI5RdJmN48/nnXvWakSnDljCvj770/nuJitW6FtW6hf32R/X1944gnYtw/eew/Kls26gEW8mDtyuoh4lqSZd76+rt/crnt3c1ytZcHx49fJ8/v3Q+fOUKuWCc7HJyXPz5ihDWxF/svKhAMHDlivvvqqFRYWZuXOndtq27ZtZm6XphUrVljVqlWz/P39rUqVKlmzZ89O9XxiYqI1ZMgQKyQkxPL397eaNWtm7du3z6H3iI6OtgArOjramaGLeJ3YWMsKDk46idW1PyVKWNby5ZZ15Yodgf36q2Xdf3/Ki318LOvxxy3rwAGX/01EvEVmc1lW5HRXUz4Xsc+8ea7N8TabZdWvb1lRUXYGdOSIZXXvblm+vik36dTJsvbscenfQcRT2ZvPHD5n/r8uXLjA/PnzGTRoEFFRUSQkJDijjyFLacMcEejbFyZPdu17dO9uNpW/Zu17enbsgOHDYdky89jHB7p0gSFD4OabXRSliHdyRi5zZU4vU6YMf/755zXtL774ItOnT6dJkyasXbs21XPPPfccM2fOtPs9lM9Fri8uzozCnz/vmvu/8gqMGZPOqHtaIiLMC2bPTjka5777YNQoMzovkkM5fQO8//rxxx/54IMPWLx4MT4+PnTq1Imnnnoqo7cTETe5dMkc7eaqxA7QurWZFW+3334zRfySJeaxzWam3Q0dCrfc4ooQRXK0rMjpW7ZsSdU58Pvvv9OiRQs6duyY3PbMM88wcuTI5McBAQFOjUEkp7p0yaxQ+/1319x/+XKzlY3dRfyZM2bt+5QpJjiAu+8259Bp3ysRuzlUzJ84cYK5c+cyd+5cDh48SKNGjZgyZQqdOnUiX758ropRRFwgLg5q1oS9e133HmFhZpmb3SPxv/8OI0bA55+bxzab2UZ/6FCoXNllcYrkRFmd04sWLZrq8bhx4yhfvjx33XVXcltAQEDySTUi4hzt2sEXX7jm3mfOQHCwAy+IiYFJk2DiRPM7mM1sx4wxxbyIOMTuYr5169asWrWKIkWK8Pjjj9O9e3du0QiZiNdJSICHHkqZue4KDk+n373bFPGffWZWyoE5j27oUKha1WVxiuRU7s7pcXFxfPzxx4SHh2Oz2ZLb58+fz8cff0zx4sVp27YtQ4YMue7ofGxsLLGxscmPY5KKAxEBoHZt2LbN+fedO9ecRW+3ixdh+nR44w3TAwBmRGH0aDOkf9X/B0TEfnYX87lz5+bzzz/nvvvuw9fuOTQi4inOn4e77oJff3XN/QMC4MQJCApy4EV798LIkbBwYUoR/9BD5uz4atVcEqeIuD+nL1u2jKioKJ544onkti5dulC6dGlKlCjBzp07eeWVV9i3bx9LkpbbpGHs2LGMGDEiCyIW8T5FiqTUzc5StCicPOnAdPq4OHO+7Jgx5oVglsuNHGnyvY/dB2uJSBoyvQFedqANcyQ7u3TJTHd3dkJPUqaMWeJ+zRmx17N/v0nkn3ySchbOAw+YdfI1arggSpHsz5tyWcuWLfHz82PFihXpXvP999/TrFkzDh48SPny5dO8Jq2R+bCwMK/4G4i4kp8fxMc7734+PuYsers77K9cgY8+MrPukja+LFPGdNY/+ijkyvC2XSI5gr05Xd1hItlY27ZmxNwVhfzo0RAbC4cPO1DIHzhgDq+vXBnmzzeFfLt2Zg7gkiUq5EVygD///JNVq1bx9NNPX/e6Bg0aAHDw4MF0r/H39ycwMDDVj0hOdumSmbHuzEK+Vy+zRM+uQj4xERYtMrPrunc3hXxoqJliv2+fOTNehbyI0+i/JpFsqnhxiIx07j1tNvjnHwen0gMcOmSOmfn4Y/ONAExPw/DhZkGfiOQYc+bMoVixYrRp0+a6123fvh2A0NDQLIhKxPvdey98/bXz7jd6NAwYYEb5b8iy4MsvzdGxO3aYtsKFYeBAePFFM7IgIk6nYl4kGypTxvmFvMOb3QD88Yf5NjBvXkoR36aNKeLr1nVugCLi8RITE5kzZw7dunUj11Wjc4cOHWLBggXce++9FC5cmJ07d9K3b18aN25MDc3YEbmuuDgzQ84Zo/E2G5w+7eAO9atXw+DBsGmTeRwYCP36QZ8+5ncRcRkV8yLZTNmyKcvTnCF/foiKcmCzG4AjR0wR/+GHZt0cmMPmhw83B92KSI60atUqjh49Svfu3VO1+/n5sWrVKiZPnsyFCxcICwujQ4cODB482E2RiniHfv3MKW/OMG8ePPaYAy/YuBFeew1++ME8zpsXXnrJDOcXLuycoETkuuwq5r9w4HDK+++/P8PBiEjGxcWZJedHjjjvnvfdB9fZn+paf/5pdqydMyeliG/Z0hTxt93mvMBEJMPcmdPvuece0tp3NywsjLVr1zr1vUSyu3r14JdfMn+f8uXNcna7O+23bzcj8f/7n3ns5wfPPQevvmrW+IlIlrGrmG/fvn2qxzabLVUyvvqM2ISkqbQikmUGDIC33nLe/UqVMqfG2X1O/LFj8Prr8P77KfP8WrQwRXyjRs4LTEQyTTldxLtdugQVK8Lx45m/17lzDmxiu3cvDB0Kn31mHvv6mg3thg41XxxEJMvZtZt9YmJi8s93331HrVq1+Prrr4mKiiIqKoqvvvqK2rVr880337g6XhH5j/btnVfIh4XBxYtmgN2uQv6vv6BHD6hQAWbONIV8s2awbh18950KeREPpJwu4r3atTN7yWW2kC9SxOxZZ1chf/iwKdqrVjWFvM0GnTvDnj3w3nsq5EXcyOE183369GHmzJnccccdyW0tW7YkICCAZ599lj179jg1QBFJ36JFsHx55u+TLx/8/bcDI/EnTsDYsTB7tpnfD9CkiTlPtnHjzAckIllCOV3EezhrWn2PHjBtmh0Xnjhh9r95772UWXft28PIkVC9euYDEZFMc7iYP3ToEAULFrymPSgoiCPOXKwrIteVkACPPJK5e4SEmHVydh81d/IkjBsHs2aZQ+bBFO8jRphiXkS8inK6iHe4917nFPKffgodO97gotOnTa6fPh0uXzZtLVqYwl6b2Ip4FLum2V+tXr16hIeHE3nVuVeRkZEMGDCA+voPXCTL3HJLxl8bGmpq8YgIOwv5iAjo2xfKlYMpU8yL77jDHEezZo0KeREvpZwu4vnKl8/8+fE+PmZf2usW8tHRZv172bIwYYIp5G+/3eT5775TIS/igRwemf/ggw944IEHKFWqFGFhYQAcO3aMihUrsmzZMmfHJyJpKFfOLGHLiDJlHHhtZCSMHw/vvGN23AGzDn7ECLM2/qqNskTE+yini3i2+++HP/7I3D1at4avvrrOBRcuwNSpJt//849pq13bjMS3aqVcL+LBHC7mK1SowM6dO1m5ciV79+4FoHLlyjRv3jzVDrgi4hr335/xQr5IETtf+/ffJqnPmGF2xANztNyIEWaqnf5bF8kWlNNFPNelSw4eD5uGhQvh4YfTeTI21iybe/1103kPUKWKWRP/4IPK9SJewGaldeCrnS5fvoy/v7/XJ/yYmBiCgoKIjo4mMDDQ3eGIpOvSJbOLbUb4+6csfUvX6dPw5ptmZ5ykIr5ePVPEq3dexKNlNpdlh5yufC7Zia8vJCZm7LV+fiaNp3l2fHw8fPihKdqPHTNt5cqZXN+5swMHzouIq9ibzxxeM5+YmMioUaO46aabyJ8/P4f/HeYbMmQI77//fsYjFpEbatcuY68rU+YGhfyZM/Dqq2ad3Pjx5htA3brw5ZewebOZo+fFX/BFJG3K6SKeyd8/44V8vnxm0P2amjwxERYsMKPvzzxjCvmbbjKj83v3wqOPqpAX8TIOF/OjR49m7ty5jB8/Hj8/v+T2atWq8d577zk1OBFJkZAAK1c6/rozZ64ztf7sWRg82BTxY8fC+fNmndwXX8DPP0ObNiriRbIx5XQRz1OkSMqpr46qXduk8lQsC5Ytg5o1oWtXOHgQihaFiRPN788+C7lzZzZsEXEDh4v5efPmMXv2bLp27YrvVb13NWvWTF5vJyLO9/33jr9m0SIIDk7jiX/+SdmxdswYOHcOatUyyf6XX6BtWxXxIjmAcrqIZ6ld23TCO8rX16TyrVuvarQs+PZbswv9Aw/A77+bI2xGjza76vXtC3nyOC12Ecl6Dm+Ad/z4cSpUqHBNe2JiIvHx8U4JSkSu1batY9ffdx906vSfxqgomDzZ/ERHm7YaNWD4cDOH38fh/j0R8WLK6SKeIzwctm1z/HV58qQcOJNs3Tp47TXzTzBz7/v0gX79oFChzIYqIh7C4WK+SpUqrFu3jtKlS6dq//zzz7n11ludFpiIpGjb1qx/s1e5cv/ZATcmBt5+20ypi4oybdWqmSL+gQdUxIvkUMrpIp4hLg4mTcrYa1NNq9+61RTx335rHvv7w4svwsCBUKxYpuMUEc/icDE/dOhQunXrxvHjx0lMTGTJkiXs27ePefPm8eWXX7oiRpEc7dIlsw+dvXLnhkOH/n0QE2POjp0wIeXs2CpVTBHfoYOKeJEcTjldxP0SEjJ+Us1nn/27Z92uXWb53JIl5olcueCpp8y+OCVLOi1WEfEsDn+Tb9euHStWrGDVqlXky5ePoUOHsmfPHlasWEGLFi1cEaNIjlapkmPXv/46ZuHc2LFmTfzgwaaQr1QJPvkEdu6Ejh1VyIuIcrqImy1ZYuruhATHX9u/PzxU6yA89hhUr25uZrOZx3v3wsyZKuRFsjmHRuavXLnC66+/Tvfu3VmZkW21RcRuCQlmR9ukWfH2yMd5+sRNh7Jvpuygc8stprf+4Yd15IyIJFNOF3GvJUvMJLmMGPnMMYZEj4JKH6T0BHToYM6Or1LFeUGKiEdzaGguV65cjB8/nitXrrgqHhEhpafe3kI+gAv0502O+5Ul12sDTSFfsSJ89JGZeteliwp5EUlFOV3EfRISMlbIFyOSH2r1Yci8ivDuu+ZGrVubk2g+/1yFvEgO4/A822bNmrF27VpXxCIiONZTn5eLhDOBPyjHm7xMUNxpKF8ePvwQdu+GRx9VES8i6VJOF3GP22937PqC/MMYXuWITzmabH/b7Ip7111mt/qvvoI6dVwTqIh4NIc3wGvdujUDBw7kt99+o06dOuTLly/V8/fff7/TghPJaeztqc/DJZ5nJq/wBsWJBOBUgXIUmzLEFPC5HP5PW0RyIOV0kazXqxds3mzftfk5R2/epj9vUZBoSATq1YMxY6B5c7NGXkRyLJtlWZYjL/C5zqZZNpuNhIzs4GGncePGMWjQIHr37s3kyZMBuHz5Mv369WPhwoXExsbSsmVLZsyYQUhIiN33jYmJISgoiOjoaAIDA10UvciN+fub42nSfZ7LPMtsBjGWUCIAOEwZRjGEmecfwy9f7iyKVEQ8TUZymTtzuison4unq1fPzIi/kTxc4gXeYRBjKcppAKzq1bGNGgX3368iXiSbszefOTzNPjExMd0fVyb9LVu2MGvWLGrUqJGqvW/fvqxYsYLPPvuMtWvXcuLECR588EGXxSHiCgkJZjA9vULen8v0YBqHKM8UehNKBEcozdO8y83sJ7B3dxXyIuIwd+V0kZyobt0bF/K5ieM5ZnKAikykH0U5zX4qsrn3Amzbt0O7dirkRSRZps6munz5srPiuK7z58/TtWtX3n33XQoVKpTcHh0dzfvvv8/EiRO5++67qVOnDnPmzGHDhg1s2rQpS2ITyazrHUvjRywvMIODVGAavbiJExwljGeZxc3s532epnBIbv6dqCIikmFZldNFcqLwcNi6Nf3nfUjgMeaxl0rM5AVKcpyjhPEU7/FBv900mNxZR8qKyDUc/r9CQkICo0aN4qabbiJ//vz88ccfAAwZMoT333/f6QEC9OjRgzZt2tC8efNU7Vu3biU+Pj5Ve6VKlShVqhQbN25M936xsbHExMSk+hFxh/Q2u7u6Z34GPSjJcY5RkheYQUUO8C7PEo8fRYtCRETWxy0i2YM7crpIThMXB5Mmpf2cjUQ68Dm/UZ15dKMch4kghF5MoSIHuGfhU4x7S/vgiEjaHC7mx4wZw9y5cxk/fjx+fn7J7dWqVeO9995zanAACxcu5Ndff2Xs2LHXPBcREYGfnx8FCxZM1R4SEkLEdSqcsWPHEhQUlPwTFhbm7LBFbiitze5yE8czzOYAFZnJC5TiGMcpQQ+mUYGDzOQF4vAHoE0bOHXKDYGLSLaRlTl9+PDh2Gy2VD+VKlVKfv7y5cv06NGDwoULkz9/fjp06EBkZKRTYxBxh6lT02q1aM1X/EJdPqcjVdjDWQrxCuMozyGm0YsPP/Hn4YezOloR8SYOF/Pz5s1j9uzZdO3aFd+rjryqWbMme/fudWpwx44do3fv3syfP588efI47b6DBg0iOjo6+efYsWNOu7eIPS5dSr3hfC7ieYr32MctzOY5SnOUE4TSiymU5xAz6JFcxAPMnw9ffumGwEUkW8nKnA5QtWpVTp48mfzz008/JT+nPXAku/r009SP72IN67iTr2hDbbZxjvyMYChlOcx4XuEi+WjTBh55xD3xioj3cHjezvHjx6lQocI17YmJicTHxzslqCRbt27l1KlT1K5dO7ktISGBH3/8kWnTpvHtt98SFxdHVFRUqtH5yMhIihcvnu59/f398ff3T/d5EVe6/35YscL8not4HuMjBjOachwG4CTFGcdAZvMsl8l7zevDw6FLl6yMWESyq6zM6QC5cuVKMz8n7YGzYMEC7r77bgDmzJlD5cqV2bRpE7fddpvTYxHJCgkJKZve1eNnxvAaLVgFwCXyMI2evMErnKFI8muKFVOHvYjYx+GR+SpVqrBu3bpr2j///HNuvfVWpwSVpFmzZvz2229s3749+adu3bp07do1+ffcuXOzevXq5Nfs27ePo0eP0rBhQ6fGIuIMFSqYQt6XK3RjLnuozAc8RTkOE0kx+jKR8hxiCr3TLOTbtYMJE9wQuIhkS1mZ0wEOHDhAiRIlKFeuHF27duXo0aOA9sCR7Ov776Fq4k6W0Y6faUALVhFHbqbzIuU5xMu8maqQL1AAtLpEROzl8Mj80KFD6datG8ePHycxMZElS5awb98+5s2bx5dO7kYsUKAA1apVS9WWL18+ChcunNz+1FNPER4eTnBwMIGBgfTq1YuGDRuqF188Ttu2cOTQFR7lE4YykoocBOAURXmDV3iHF7hEQLqvX7AAOnfOqmhFJCfIypzeoEED5s6dyy233MLJkycZMWIEd955J7///num9sAZMWKEU+MUcZr9+4m5bxjbWYQPFgn4MI/HGcEw/qTMNZcHBID6o0TEEQ4X8+3atWPFihWMHDmSfPnyMXToUGrXrs2KFSto0aKFK2K8rkmTJuHj40OHDh2IjY2lZcuWzJgxI8vjELmeTz9JIPDLhexiJLewH4C/KcJ4XmYGL3KRfNd//afQsWNWRCoiOUlW5vTWrVsn/16jRg0aNGhA6dKl+fTTT8mb99qZSPYYNGgQ4eHhyY9jYmK0qa24359/wsiRJMz5kA6WOXd2EZ0Yxgj2USndl40Zk1UBikh2YbMsy3J3EO4WExNDUFAQ0dHRBAYGujscyU4SEoj7+FMOPTGSypjNpM4QzJsMYBo9uUD+G95i8WLQHlAiciPemMvq1atH8+bNadGiBc2aNeOff/5JNTpfunRp+vTpQ9++fe26nzf+DSQbiYgwFfmsWfDvnhMruI8hjGIHta77UpsNLl+Gqw6VEJEczN585vCaeRGxQ2IiLFpEZEh1/J7oQmX2cpZCvMoYynCENxh4w0Le3x+uXFEhLyLZ0/nz5zl06BChoaHUqVNHe+CI9zpzBl55BcqVg2nTID6ePys24zY2cj8rbljIgzmqVoW8iDjKrmn2hQoVwmaz2XXDs2fPZiogEa+WmGiG0keMgF27CAH+oSAT6McUXuIc9o0U+fmZHnoREWdzV07v378/bdu2pXTp0pw4cYJhw4bh6+tL586dCQoK0h444n1iYmDSJJg4MWWx+223wZgxPPTK3fziwK0WLnRJhCKSzdlVzE+ePDn59zNnzjB69GhatmyZ3Fu+ceNGvv32W4YMGeKSIEU8XmIiLF1qivjffgMgiiAmEs7b9CaGILtv5ecHsbGuClREcjp35fS//vqLzp07c+bMGYoWLcodd9zBpk2bKFq0KKA9cMSLXLwI06fDG2+YUXmAmjVh9Gho04aERBtbt9p/u8cfB19f14QqItmbw2vmO3ToQNOmTenZs2eq9mnTprFq1SqWLVvmzPiyhNbYSYZZFixbZor4HTsAiA8IZMzFvkymD9EUdOh2pUvDkSNOj1JEcoCM5LLsltOVz8WlYmPhvfdM0Z50ysItt8DIkfDQQ+Djw6VLUKWKY7k8NlZT7EUkNZetmf/2229p1arVNe2tWrVi1apVjt5OxDtZFnzxBdSpYxa179gBBQqQ+Opgil08wgiGO1zIt2+vQl5EspZyuogdrlyBOXNM4d6zpynky5Qxbb//Dp06gY8P999vjpdzJJc3aaJCXkQyzuFivnDhwixfvvya9uXLl1O4cGGnBCXisSwLvvwS6tWDdu1g2zbInx9efZWEQ0coMHkUURRy+Lb+/vD55y6IV0TkOpTTRa7j381sqVYNunc3R86FhsKMGbBvHzzxBOQyK1bLlYMVKxx/i2+/dW7IIpKzOHzO/IgRI3j66adZs2YNDRo0AGDz5s188803vPvuu04PUMQjWBZ8/TUMHw5btpi2fPmgVy/o148lPxahQ7GM337BAq2XE5Gsp5wukoakjvshQ5KX0FG4MAwaBC++CHnzprq8aFE4fdrxt6lcWaPyIpI5DhfzTzzxBJUrV2bKlCksWbIEgMqVK/PTTz8lfxEQyTYsy3SbDx8OmzebtoAAM82uf38oWpQlS8yRMhmlc+RFxF2U00X+Y/VqeO21lJwfGGjyfZ8+UKDANZcHBsK5cxl7q6v2ohQRyRCHivn4+Hiee+45hgwZwvz5810Vk4j7WRasXAnDhsGmTaYtb17o0QMGDIBiZhg+IQEeeSRjb1GsGJw4oRF5EXEP5XSRq2zYAIMHww8/mMcBAfDSSybnBwdfc3lcHAQFZfwY2Vy5oFmzTMQrIoKDa+Zz587N4sWLXRWLiPtZFqxaBXfeCS1bmkI+Tx4ID4fDh+HNN5MLeYAuXSA+3vG3KVYMIiNVyIuI+yini2D2vmnTBm6/3RTyfn6miD90CMaOTbOQ79fP7HWT0UIeYO5cfQcQkcxzeAO89u3be91RNSJ2+eEHuOsuaNEC1q83RXyfPqaInzABQkJSXR4XB59+6vjb2GxmRF5ExN2U0yXH2rMHOnaE2rXhq69MZf3003DgALz9NhQvnubL6taFiRMz99bly0PXrpm7h4gIZGDNfMWKFRk5ciTr16+nTp065MuXL9XzL730ktOCE8kSa9ea6fRr15rH/v7w3HMwcKDZtTYd5ctn7O0+/1y98SLiGZTTJcc5fBhGjICPPjK71dts0Lmz2RunYsV0X5aQADfdZGbVZUaxYnDwYObuISKSxGZZluXIC8qWLZv+zWw2/vjjj0wHldViYmIICgoiOjqawMBAd4cjWWXdOlPEJ62P8/ODZ54xu9XedNN1X9q2rdno1lHa7E5EXCUjuSy75XTlc0nX8eMwejS89545Nx6gfXsYORKqV7/uSz/5xCyry6xevWDKlMzfR0SyP3vzmcMj84cPH85UYCJut369KeJXrzaPc+c2U+sGDYKwsBu+vH9/xwt5Pz+4eFEj8iLiWZTTJdv7+28YN86cDZ+0yP2ee0xhX6/eDV9epw78+mvmQqhcGbZv1zF0IuJ8DhfzSU7/e6BmkSJFnBaMiEtt3GiK+JUrzePcuaF7d3j1VShVyq5bxMWZ5fOOOndOhbyIeC7ldMl2oqJMwp48Gc6fN2133AFjxkDjxnbdIigIYmIyF0Z4eMa+N4iI2MOhDfCioqLo0aMHRYoUISQkhJCQEIoUKULPnj2JiopyUYgimbR5M7RqBY0amUI+Vy4znf7AAZg50+5CHkzHvqP691dvvIh4HuV0yZYuXDC70JcrZ0bfz583w+tffw0//mhXIZ+QYPbAzWwhv2CBCnkRcS27R+bPnj1Lw4YNOX78OF27dqVy5coA7N69m7lz57J69Wo2bNhAoUKFXBasiEO2bDEj8V9/bR77+sITT8Brr8F11olez9ixjl1/333mNDsREU+inC7ZzuXLMGsWvP46nDpl2qpUgVGj4IEHzEZ3dnDW+vgBA8y+eiIirmR3MT9y5Ej8/Pw4dOgQIf85omvkyJHcc889jBw5kkmTJjk9SBGHbN1qdqVNWtju6wuPPw6DB5ue+gz65JOU7wf2uOkmWLEiw28nIuIyyumSbcTHm0PbR42CY8dMW7lyZsf6zp0dWuNWt675CpFZn35qTr0TEXE1u6fZL1u2jLfeeuuapA9QvHhxxo8fz9KlS50anIhDtm2Ddu1MNv7yS/DxgW7dYO9e+OCDTBXyCQnw5JOOvcbLNoEWkRxEOV28XkICzJ9vRt+ffdYU8jfdZEbn9+6FRx91qJAPCcl8IV+xotkoX4W8iGQVu4v5kydPUrVq1XSfr1atGhEREU4JSsQhO3aYKXS1a8MXX5gi/rHHTDKfOxcqVMj0W6xZA7Gx9l9/331aJy8inks5XbyWZcHSpVCzpinYDx6EokVh0iTz+7PPmg1u7ZSQAIGBjs28S0vfvrB/vza7FZGsZXcxX6RIEY4cOZLu84cPHyY4ONgZMYnY57ffoEMHqFULli0z6+G6dIHdu2HePNNF7iRr1jh2fb9+TntrERGnU04Xr2NZ8O23UL8+PPgg7NoFBQua3en/+AP69DG71jlgyRKzJ+65cxkPKyDAdPZPnJjxe4iIZJTdxXzLli157bXXiIuLu+a52NhYhgwZQqtWrZwanEiafv/dzGGrUcNkYpsNHnnEJPb58+GWW5z+ltOm2X9tyZJw551OD0FExGmU08WrrFsHd91lTqb55RfIl89sZnv4sDleNn9+h2+5ZIkZD8iMXr3M5vmaiSci7mKzLMuy58K//vqLunXr4u/vT48ePahUqRKWZbFnzx5mzJhBbGwsv/zyC2FhYa6O2eliYmIICgoiOjqawMBAd4cj6dm922xo89lnpoceoFMnGDoUrjNdNLPuv9+xjewWLzaDBiIiWcmRXJZdc7ryeTbzyy9m89pvvzWP/f3hxRdh4EAoVizDt01IgLx5zd55GZE7tznxTkW8iLiKvfnM7t3sS5YsycaNG3nxxRcZNGgQSX0ANpuNFi1aMG3aNK9L+uIl9uyBkSNh0aKUIv6hh8yxc9WqufStL11yrJD/7DMV8iLi+ZTTxaPt2gVDhpi18WDmwj/1lCnsS5bM9O27dMl4IV+4MJw+nekQREScwu5iHqBs2bJ8/fXX/PPPPxw4cACAChUqaF2duMb+/aaIX7AgpYh/8EFTxNeokSUhDBhg/7X16pk+BhERb6CcLh7n4EFztGxS3rfZzCZ3w4dn6kSaq8XFmaPjMqJMGTOzX0TEUzhUzCcpVKgQ9evXd3YsIsaBA+a82PnzITHRtLVvb4r4WrWyPBR7uWCpvoiIyymni9sdO2by/gcfmDnwYBa0jxxpjp5zohkzMva63r1h8mSnhiIikmkZKuZFXOLQIZPMP/44JZm3bWt65GvXdktIFSvCd9/Zd+1jj7k2FhERkWwlMhLGjoV33jFD5gCtW8Po0S7L+x9+6Nj1AQHwzz9aHy8insnu3exFXOaPP6B7dzO0/eGHppBv0wa2bDHnxrupkAezTM8e+fNDs2aujUVExJuNHTuWevXqUaBAAYoVK0b79u3Zt29fqmuaNGmCzWZL9fP888+7KWJxmX/+MbvQlysHb79tCvm77oKffoKvvnJZ3o+Lg+3b7b8+MFC71YuIZ9PIvLjPkSOm9/3DD+HKFdPWurUZifeAKZ9xcfYfSffhh+Dr69p4RES82dq1a+nRowf16tXjypUrvPrqq9xzzz3s3r2bfPnyJV/3zDPPMHLkyOTHAQEB7ghXXOHcOVO8v/UWREebtvr1zXeB5s3NGnkXcnSK/dmzrolDRMRZPHpk3p5e/MuXL9OjRw8KFy5M/vz56dChA5GRkW6KWOzy55/w7LNmDvv775tCvmVL2LjR9Mh7QCEPJuknzfa/nief1A72IiI38s033/DEE09QtWpVatasydy5czl69Chbt25NdV1AQADFixdP/tERc9nApUswcaIZiR8yxBTy1avD8uWwaRO0aOHyQh5g3jz7rx0xQp30IuL5PLqYT+rF37RpEytXriQ+Pp577rmHCxcuJF/Tt29fVqxYwWeffcbatWs5ceIED6qy8kxHj8Lzz5si/t13TRHfogVs2ADffAO33ebuCFM5dMi+664aUBIRETtF/zsy+9/d8+fPn0+RIkWoVq0agwYN4uLFi+neIzY2lpiYmFQ/4kHi4mDmTKhQAfr1M2e6VawIn3xi5rvff3+WFPFJodg7xT4gAF57zaXhiIg4hUdPs//mm29SPZ47dy7FihVj69atNG7cmOjoaN5//30WLFjA3XffDcCcOXOoXLkymzZt4jYPKw5zrL/+MhvcvPtuysGuzZqZ6fR33OHW0K6nfHnnXiciIkZiYiJ9+vTh9ttvp1q1asntXbp0oXTp0pQoUYKdO3fyyiuvsG/fPpYsWZLmfcaOHcuIESOyKmyxV0KCOZFm+PCUs9xKlYKhQ6FbN/s3pHGiGTNSTrm9kTlzNCovIt7Bo4v5//pvL/7WrVuJj4+nefPmyddUqlSJUqVKsXHjxnSL+djYWGJjY5MfqyffRU6cMEX87Nkpu9Q2bWqSe+PGbg3NHi++aAYSkk7HS4uPj7lORETs16NHD37//Xd++umnVO3PPvts8u/Vq1cnNDSUZs2acejQIcqn0XM6aNAgwsPDkx/HxMQQFhbmusDl+hITYfFiU7Tv3WvaQkJg8GB45hnw93dbaPbOtitbFjp1cm0sIiLO4jXFfFq9+BEREfj5+VGwYMFU14aEhBAREZHuvdST72InT8K4cTBrFiR1mjRubBagNWni1tAc4etrptqdP5/+NQEB6r0XEXFEz549+fLLL/nxxx8pWbLkda9t0KABAAcPHkyzmPf398ffjQWi/Muy4OuvTdG+bZtpCw6GV16Bnj1NsnSzMmXsu65HD5eGISLiVB69Zv5qSb34CxcuzPS9Bg0aRHR0dPLPsWPHnBChEBEBffuaDW6mTDGF/B13wOrVsGaNVxXyAOvWXb+QB/P8unVZE4+IiDezLIuePXuydOlSvv/+e8qWLXvD12z/d5FzaGioi6OTDFuzxuT6Nm1MIV+gAAwbZo6dfflljyjkwey358zrREQ8gVeMzKfXi1+8eHHi4uKIiopKNTofGRlJ8eLF072fevKdLDISxo+Hd94xO9YCNGpkRuKbNcuyzW2c7eRJ514nIpKT9ejRgwULFrB8+XIKFCiQPIMuKCiIvHnzcujQIRYsWMC9995L4cKF2blzJ3379qVx48bUqFHDzdHLNTZvNiPxq1aZx3nyQK9epoAvUsS9saXhzBnnXici4gk8emT+Rr34derUIXfu3KxevTq5bd++fRw9epSGDRtmdbg5z99/w4ABZiR+4kRTyN92G3z7Lfz0U5acGetK9g4EacBIROTG3nnnHaKjo2nSpAmhoaHJP4sWLQLAz8+PVatWcc8991CpUiX69etHhw4dWLFihZsjl1R27jS70N92mynkc+c2c9MPHTId+x5YyAMcOGDfdcrpIuJNPHpk/ka9+EFBQTz11FOEh4cTHBxMYGAgvXr1omHDhtrJ3pVOn4Y334Rp0yDpyKD69c1IfMuWXl3AX61RI/Od5PTptJ+32aBkSbjzzqyNS0TEG1k32Eo8LCyMtWvXZlE04rB9+8z0+X87X/DxMTvTDx1q/4J0N0lIMHvx3ohyuoh4G48u5t955x0AmvxnrfWcOXN44oknAJg0aRI+Pj506NCB2NhYWrZsyYwZM7I40hzizBl46y2YOhUuXDBtdeuaIr5162xTxMfFwdNPw0cf3fjayZO1AZ6IiGRjf/5p8vyHH6Yc7/Lww6btllvcG5ud1q2D48dvfN0zzyini4h38ehi/ka9+AB58uRh+vTpTJ8+PQsiyqHOnjXT6N9+O2VHuNq1zRFz993n9UV8QoLZo+/9981mvOfO2fe6+++HBx90bWwiIiJucfIkjBljhrTj401b27YwahTUrOne2OwUF2c63adMse/6ihVdGo6IiNN5dDEvbvbPPzBpkiniY2JMW61apoi//36vL+Lj4kwv/McfX/8s+fR8+aW5h5+f82MTERFxizNn4I03zFK6pE1tmzWD0aPNOnkPl1TAjx/v+GZ2Wi8vIt5GxbxcKyrKZMLJkyE62rTVqGGK+PbtvbaITxqBnzMHVq7M/I61CQkwYwb06eOU8ERERNwnJsbMwps4MWWKWsOGZnS+aVP3xpaGq3P6zp1m4uA//9g/uy4tDRo4Lz4RkaygYl5SREebUfhJk0xBD1CtminiH3jAbHbjhTI7An89hw45934iIiJZ6uJFMwr/xhtmWR2YWXijR8O993pMB35cnAlz7Vr47Tc4cgTsWI3pkFmz1EEvIt5FxbyY3vgpU0xv/D//mLaqVc2utR06eHURf889JvG7Svnyrru3iIiIy8TGwrvvmpH3f08LolIlGDnSo3J/VuTyJOqgFxFvo2I+Jzt3znRzv/VWSm985cqmiO/Y0WMSuaPi4swJeWvWuPZ9fH3hxRdd+x4iIiJOdeUKzJtndqM/etS0lSljZuF17Qq53PvVMCHB5O9Vq2DBgpQQs4I66EXE26iYz4nOn4fp081Z8UkLx2+5xRTxnTp57bksCQnQpQt8+mnWvF94uDa/ExERL5GYaBLksGGwf79pK1ECBg+Gp55yW0K7unj/3/9gzx7T35DV1EEvIt5IxXxOcuGC2bFt/Hg4fdq0VaxoEvsjj3htER8XB88+a86Fd/aa+PQMGGD+jCIiIh7NsmDFChgyxOwUB1CkCAwcaKrXvHld+vZJG9V9+KFZ5543LxQtapbiHz0Kmze7p3j/L3XQi4g3UjGfE1y8CO+8Y6rPU6dMW4UKJrF36eL2KXWOcucUvEcfNefRK+GLiIhHsyxTRQ8ebCpmgMBA6N/f7PJWoECmbp+Ui7//PmUzOh8fCAuD4GCzem/9eti40TOK9etRB72IeCvvquLEMZcuwcyZZofayEjTVq6cKeIffdRrivirvzCsXZv1vfhhYWaPoObNvXbygoiI5CQbNsBrr6VsHhMQAC+9ZKrW4GC7bpGQAOvWwfHj5itE0qq8ggVh0yb46iu4fNkl0WeZKlVg2zZ10IuI9/KOak4cc+kSzJ4N48al7FBbtqzpnX/sMcid273xpSGtHn5w3xS8kiWhVy8zeKEkLyIiXmHbNpPrv/rKPPbzg+efh0GDoHjxVJcmFesnT0KxYqYtIsIU7uvXw8qVmTuz3RP5+UHp0tCsmTnAx8UrDEREXE7FfHZy+TK89x68/rrJzmCy1uDB0K2b24v4/xbsNpsZ9T5+HD77zP09/JUqmRP67r5bI/AiIuJF9uyBoUPh88/NY19fePJJMxOvVCkg9Uj76tWwfHnKQTbZWXAwvPKKOudFJHtSMZ8dxMaahdyvv26yNJjk/dpr8MQTWZ69kor2NWvMhnSePCXvllvg6afN7EMleRER8Sp//GGOmPv4Y5NwbTYSH+nMlnuH84dvRYodAA7Al1/C/Pnw99/uDti1Chc2WwGUKAEPPKDcLiLZn4p5bxYXBx98YIr4Y8dMW8mSpoh/8knw93d5CP9dU7d+vWcW7VfTCLyIiHi148dh9GgzGy9pHdoDD7Cq8UienFCNvz5xb3hZITjYFO01aphxC+V0EcmJVMx7o7g4mDsXxoxJ2cr9ppvg1VfNWbEuLOK9eZreY4+Z7z3qpRcREa/0999mP5wZM5J7za0W9/Drg6P5eF89Jvd1c3wuZrOZ/XuVy0VEDBXz3iQ+3hzUOno0/PmnaQsNNUX8009DnjxOfburC/e//zbr3Bcs8L5peg89BAsXqsdeRES8S1IePn0wiro/TqD00snYzp8H4NQtd/BVozEMWdmYv15wc6Au5OsLjRqZ5f8afRcRSU3FvDeIj4ePPjJF/OHDpq14cRg4EJ591iXbsS5ZAr17w19/Of3WWaZAAbOVQMeO7o5ERETEMUuWwKBe53nwxFReZjyFiAJgu28dBiaM5tt9LWGfzb1BukBoKFStCvXqmV3nmzRRAS8ikh4V857syhWzqc3o0XDokGkLCTHbsj7/vNOK+P8eT7NundlPxxv5+EC7dtCjh74AiIiI57s6B4eGwp13worPLvNj51n8yOuEcAqA36nKEEaxLKE94J1FvI+POdu9WjUzZT4x0Zxfny+f+dy9emn6vIiII1TMe6IrV8x89lGj4OBB01a0qCniX3gBAgKc9lbZYQS+RAlo2tScvqcpeCIi4i3+m4NzEU/fgnPpHTOS9pjGg5RnGCNYyCMk4nkJzt8f6tc3++/6+JgjZ4ODzX46R4+aor10aZOf1ckuIuJcKuY9SUKCWdw9ciTs32/aihSBl1+GF180XddOtGSJWU9uWU69rcuVKgW33qpefBER8V5X52AfEniEhYxgGBWizEy8Y5RkJEOZyxNcIbfb4syXDzp0MMU6mONmo6JM4d6kiQp0ERF3UjHvCRIS4NNPTRG/d69pK1wYBgww88Xz58/07a+ewteokXn8zDOeWcjnzg0NGpjefU3BExGR7CYhwYzIW5ZFe5YxiiFUYxcApyjK67zKTJ4nFudubJuW4GCTW++8EyIizDGzZ86oWBcR8QYq5t0pMRE++8wsUN+zx7QFB0P//tCzp9nBzUH/LdxPn4a+fVNPo/f1Nde5S9KUvFKlUqbjqZdfREQ8SVpr2R3NTendY92PFlX/+palDKYuWwH4h4KM52Wm0osLZK4TPz1Fi0LnzlC2rPn9ppsy9rlERMQzqJh3h8REWLzYFPG7TE88BQtCv37w0ksQGJih29q7/j2rCvk8eaBNGzPKrmJdRETsNX36dN58800iIiKoWbMmU6dOpX79+ln2/mnl05Il4e234cEHM3ePj5/9kSoLBvMN6wA4Tz4m0ZcJ9COagk77DH36wH33md9Pncp4h4SIiHguFfNZKTERli41Rfxvv5m2oCAIDzcZPygow7d29/r3QoWgbduUDXBUtIuISEYsWrSI8PBwZs6cSYMGDZg8eTItW7Zk3759FCtWzOXvn14+PX7ctH/++Y0L+rTuUYdfGPPXa9w19DsALuPPdHowjoGcpqjT4g8Lg8mT7e90EBER72WzLE9cNZ21YmJiCAoKIjo6msAMjopfl2XBsmWmiN+xw7QFBpr57336mFF5B6S1Br58+azbkV7T9EREPI/Lc1kWadCgAfXq1WPatGkAJCYmEhYWRq9evRg4cOB1X5vZv0FCApQpk34+tdlMp/Xhw+nnvP/eoyq/M5KhPMhSAOLJxcJ8TzMlcDBbI25KsxPeZjNL0PLmTR1L4cLmn2fOpLSVLGn2wKlYUaPvIiLZhb35TCPzrmRZ8MUXMHw4bN9u2goUMAV8375mONtBaU3bK1LErI13pSeegObNVbiLiIjrxMXFsXXrVgYNGpTc5uPjQ/Pmzdm4ceM118fGxhIbG5v8OCYmJlPvv27d9TvGLQuOHTPXNWly/XuU5yAjGEZnPsEHiwR8+JhHGcEwDl8ox4iXYetwU7hfXdDb/j1CfvZsaNfu2jX3Se+RmbX8IiKSPaiYdwXLgi+/NEX8r7+atvz5TRUeHm662zMgval/rizkNV1PRESyyunTp0lISCAkJCRVe0hICHuTTnu5ytixYxkxYoTT3v/kycxfF/37MWYzkieZQy7MJjWf8RDDGMEeqiRfV7GimbKf1rr6q/NuWp0G6XUkiIhIzqJi3tm+/hqGDoVffjGP8+UzZ77062eG0DMo5RgbJ8WZhuBg+OQT08OvzXJERMTTDRo0iPDw8OTHMTExhIWFZfh+oaGZuC4yEl5/nbbvzMSHOAD+x70MYRTbqJ3mPZo0SXv0XXlXRETsoWLe2WbONIV8QIA5Xq5/f7OwPJNuNPUvM5Km9L37Ltxzj2veQ0RE5EaKFCmCr68vkZGRqdojIyMpXrz4Ndf7+/vj7+/vtPe/804zMn78eNqd50lr5pOmuwNw9iy8+SZMmQIXL+IDbPBvwsuxo1nP7Te8h6+vRtpFRCRjfNwdQHaSkAC/3DecPW36s/7jwyS8/obDhXxCAqxZY0bI16xJOUbO3ql/9vhvj3/JkvbtzisiIuJKfn5+1KlTh9WrVye3JSYmsnr1aho2bOjy9/f1NcfPQUpHd5Kkx5Mn/5tHz52DUaOgXDkYNw4uXoT69WHlSiLmf88G2+03voeIiEgmaGTeSVI2prsVuBX+57wzad9+2/6pf0WLwt9/pzwOC4MJE0z71bvfb9igKX0iIuJ5wsPD6datG3Xr1qV+/fpMnjyZCxcu8OSTT2bJ+z/44A3Wsre+BBNmmAI+adOaGjVMYd+2LdhsPIh96+FFREQyI9scTTd9+nTefPNNIiIiqFmzJlOnTqV+/fp2vTazR9mktzFdUg98Rs+kvfoeixaZvfNuNPXv4EEV6iIiOVF2OZoOYNq0ack5vVatWkyZMoUGDRrc8HXO/Bv89xjYOxvE4Tv3fRg9Gk6cMBdVrAgjR0KnTuBz7WTHa+6hnCwiInawN59li2J+0aJFPP7448ycOZMGDRowefJkPvvsM/bt20exYsVu+PrMJH9XnEmb3j0mTjTfFyDtY2w0VV5EJOfKTsV8Rrnkb5CQAB9/DCNGmGQOUKoUDBsGjz8OuTTJUUREnMvefJYt1sxPnDiRZ555hieffJIqVaowc+ZMAgIC+OCDD9K8PjY2lpiYmFQ/GeXImbSZvUeRIqZgv+mm1M9rzbuIiIiTJSbCZ59BtWrwxBOmkC9eHKZOhf37oXt3FfIiIuJWXl/Mx8XFsXXrVpo3b57c5uPjQ/Pmzdm4cWOarxk7dixBQUHJP5k5xsYZZ9I6co8HH4QjR+CHH2DBAvPPw4dVyIuIiDhVQgIMHAh795qzW994Aw4dMifVOHEHfRERkYzy+i7l06dPk5CQQEhISKr2kJAQ9u7dm+ZrnHkubabOpM3gPXSMjYiIiIvlzm02udu1C/r2haAgd0ckIiKSitcX8xnhzHNpM3QmrQvuISIiIk7WsaP5ERER8UBeP82+SJEi+Pr6EhkZmao9MjKS4sWLu/z9HTqT1oX3EBERERERkZzD64t5Pz8/6tSpw+rVq5PbEhMTWb16NQ0bNsySGJLOpM3MxnTOuIeIiIiIiIjkDNlimn14eDjdunWjbt261K9fn8mTJ3PhwgWefPLJLIvhwQehXbvMnSfrjHuIiIiIiIhI9pctivmHH36Yv//+m6FDhxIREUGtWrX45ptvrtkUz9WcsTGdNrcTERERERGRG8kWxTxAz5496dmzp7vDEBEREREREXE5r18zLyIiIiIiIpLTqJgXERERERER8TLZZpp9Zlj/Hu4eExPj5khEREQyJimHJeW0nEj5XEREsgN7c7qKeeDcuXMAhIWFuTkSERGRzDl37hxBQUHuDsMtlM9FRCQ7uVFOt1k5uQv/X4mJiZw4cYICBQpgs9my9L1jYmIICwvj2LFjBAYGZul7u5M+tz53TpBTPzfk3M/uzs9tWRbnzp2jRIkS+PjkzFV0yufukVM/uz63PndOkVM/uzfkdI3MAz4+PpQsWdKtMQQGBuao/ziS6HPnLPrcOU9O/ezu+tw5dUQ+ifK5e+XUz67PnbPk1M8NOfeze3JOz5ld9yIiIiIiIiJeTMW8iIiIiIiIiJdRMe9m/v7+DBs2DH9/f3eHkqX0ufW5c4Kc+rkh5372nPq5JWf/u8+pn12fW587p8ipn90bPrc2wBMRERERERHxMhqZFxEREREREfEyKuZFREREREREvIyKeREREREREREvo2JeRERERERExMuomPcg999/P6VKlSJPnjyEhoby2GOPceLECXeH5VJHjhzhqaeeomzZsuTNm5fy5cszbNgw4uLi3B2ay40ZM4ZGjRoREBBAwYIF3R2OS02fPp0yZcqQJ08eGjRowM8//+zukFzuxx9/pG3btpQoUQKbzcayZcvcHZLLjR07lnr16lGgQAGKFStG+/bt2bdvn7vDyhLvvPMONWrUIDAwkMDAQBo2bMjXX3/t7rDEjZTTldOzq5yW03NiPoecm9O9LZ+rmPcgTZs25dNPP2Xfvn0sXryYQ4cO8dBDD7k7LJfau3cviYmJzJo1i127djFp0iRmzpzJq6++6u7QXC4uLo6OHTvywgsvuDsUl1q0aBHh4eEMGzaMX3/9lZo1a9KyZUtOnTrl7tBc6sKFC9SsWZPp06e7O5Qss3btWnr06MGmTZtYuXIl8fHx3HPPPVy4cMHdoblcyZIlGTduHFu3buWXX37h7rvvpl27duzatcvdoYmbKKcrp2dHOTGn58R8Djk3p3tdPrfEYy1fvtyy2WxWXFycu0PJUuPHj7fKli3r7jCyzJw5c6ygoCB3h+Ey9evXt3r06JH8OCEhwSpRooQ1duxYN0aVtQBr6dKl7g4jy506dcoCrLVr17o7FLcoVKiQ9d5777k7DPEQyuk5g3J69pZT87ll5eyc7sn5XCPzHurs2bPMnz+fRo0akTt3bneHk6Wio6MJDg52dxjiBHFxcWzdupXmzZsnt/n4+NC8eXM2btzoxsgkK0RHRwPkuP+eExISWLhwIRcuXKBhw4buDkc8gHJ6zvp/QHalnJ6z5cSc7g35XMW8h3nllVfIly8fhQsX5ujRoyxfvtzdIWWpgwcPMnXqVJ577jl3hyJOcPr0aRISEggJCUnVHhISQkREhJuikqyQmJhInz59uP3226lWrZq7w8kSv/32G/nz58ff35/nn3+epUuXUqVKFXeHJW6knK6cnp0op+dcOS2ne1M+VzHvYgMHDsRms133Z+/evcnXDxgwgG3btvHdd9/h6+vL448/jmVZbvwEGePo5wY4fvw4rVq1omPHjjzzzDNuijxzMvK5RbKjHj168Pvvv7Nw4UJ3h5JlbrnlFrZv387mzZt54YUX6NatG7t373Z3WOJEyunK6crpkhPltJzuTfncZnljVvEif//9N2fOnLnuNeXKlcPPz++a9r/++ouwsDA2bNjgsVM70uPo5z5x4gRNmjThtttuY+7cufj4eGc/U0b+fc+dO5c+ffoQFRXl4uiyXlxcHAEBAXz++ee0b98+ub1bt25ERUXlmFEqm83G0qVLU/0NsrOePXuyfPlyfvzxR8qWLevucNymefPmlC9fnlmzZrk7FHES5fT0KacbyunZW07L56CcDp6dz3O5O4DsrmjRohQtWjRDr01MTAQgNjbWmSFlCUc+9/Hjx2natCl16tRhzpw5Xpv0IXP/vrMjPz8/6tSpw+rVq5MTX2JiIqtXr6Znz57uDU6czrIsevXqxdKlS1mzZk2OTfpJEhMTvfL/35I+5fQbU07PvpTTcxbl9BSenM9VzHuIzZs3s2XLFu644w4KFSrEoUOHGDJkCOXLl/e6HnxHHD9+nCZNmlC6dGneeust/v777+Tnihcv7sbIXO/o0aOcPXuWo0ePkpCQwPbt2wGoUKEC+fPnd29wThQeHk63bt2oW7cu9evXZ/LkyVy4cIEnn3zS3aG51Pnz5zl48GDy48OHD7N9+3aCg4MpVaqUGyNznR49erBgwQKWL19OgQIFktdQBgUFkTdvXjdH51qDBg2idevWlCpVinPnzrFgwQLWrFnDt99+6+7QxA2U05XTldOzj5yYzyHn5nSvy+fu3EpfUuzcudNq2rSpFRwcbPn7+1tlypSxnn/+eeuvv/5yd2guNWfOHAtI8ye769atW5qf+4cffnB3aE43depUq1SpUpafn59Vv359a9OmTe4OyeV++OGHNP/9duvWzd2huUx6/y3PmTPH3aG5XPfu3a3SpUtbfn5+VtGiRa1mzZpZ3333nbvDEjdRTldOV07PPnJiPresnJvTvS2fa828iIiIiIiIiJfx3oVMIiIiIiIiIjmUinkRERERERERL6NiXkRERERERMTLqJgXERERERER8TIq5kVERERERES8jIp5ERERERERES+jYl5ERERERETEy6iYFxEREREREfEyKuZFssiaNWuw2WxERUW5OxSH2Gw2li1b5rT7lSlThsmTJzvtflntyJEj2Gw2tm/fDnjvv1cREck4b/1/v3J6asrp4u1UzIs4gc1mu+7P8OHD3R3iDQ0fPpxatWpd037y5Elat26d9QF5gCeeeIL27dunagsLC+PkyZNUq1bNPUGJiIhLKadnT8rpkh3lcncAItnByZMnk39ftGgRQ4cOZd++fclt+fPn55dffnFHaMTFxeHn55fh1xcvXtyJ0Xg/X19f/U1ERLIx5fScQzldvJ1G5kWcoHjx4sk/QUFB2Gy2VG358+dPvnbr1q3UrVuXgIAAGjVqlOoLAsDy5cupXbs2efLkoVy5cowYMYIrV64kP3/06FHatWtH/vz5CQwMpFOnTkRGRiY/n9Qb/95771G2bFny5MkDQFRUFE8//TRFixYlMDCQu+++mx07dgAwd+5cRowYwY4dO5JHHubOnQtcOyXvr7/+onPnzgQHB5MvXz7q1q3L5s2bATh06BDt2rUjJCSE/PnzU69ePVatWuXQ3zIhIYHw8HAKFixI4cKFefnll+nWrVuq3vS0pvXVqlUr1WjJxIkTqV69Ovny5SMsLIwXX3yR8+fPJz8/d+5cChYsyLfffkvlypXJnz8/rVq1Sv4SN3z4cD788EOWL1+e/DdZs2bNNVPy0vLTTz9x5513kjdvXsLCwnjppZe4cOFC8vMzZsygYsWK5MmTh5CQEB566CGH/kYiIuI6yunK6VdTThdPpmJeJIu99tprTJgwgV9++YVcuXLRvXv35OfWrVvH448/Tu/evdm9ezezZs1i7ty5jBkzBoDExETatWvH2bNnWbt2LStXruSPP/7g4YcfTvUeBw8eZPHixSxZsiQ5QXXs2JFTp07x9ddfs3XrVmrXrk2zZs04e/YsDz/8MP369aNq1aqcPHmSkydPXnNPgPPnz3PXXXdx/PhxvvjiC3bs2MHLL79MYmJi8vP33nsvq1evZtu2bbRq1Yq2bdty9OhRu/8+EyZMYO7cuXzwwQf89NNPnD17lqVLlzr6Z8bHx4cpU6awa9cuPvzwQ77//ntefvnlVNdcvHiRt956i48++ogff/yRo0eP0r9/fwD69+9Pp06dkr8MnDx5kkaNGt3wfQ8dOkSrVq3o0KEDO3fuZNGiRfz000/07NkTgF9++YWXXnqJkSNHsm/fPr755hsaN27s8OcTERH3U06/PuV0ERezRMSp5syZYwUFBV3T/sMPP1iAtWrVquS2//3vfxZgXbp0ybIsy2rWrJn1+uuvp3rdRx99ZIWGhlqWZVnfffed5evrax09ejT5+V27dlmA9fPPP1uWZVnDhg2zcufObZ06dSr5mnXr1lmBgYHW5cuXU927fPny1qxZs5JfV7NmzWviBqylS5dalmVZs2bNsgoUKGCdOXPGzr+GZVWtWtWaOnVq8uPSpUtbkyZNSvf60NBQa/z48cmP4+PjrZIlS1rt2rW77j1q1qxpDRs2LN37fvbZZ1bhwoWTH8+ZM8cCrIMHDya3TZ8+3QoJCUl+3K1bt1Tva1mWdfjwYQuwtm3bZllWyr/Xf/75x7Isy3rqqaesZ599NtVr1q1bZ/n4+FiXLl2yFi9ebAUGBloxMTHpxioiIp5BOT015XTldPEsWjMvksVq1KiR/HtoaCgAp06dolSpUuzYsYP169cn99qDmaJ2+fJlLl68yJ49ewgLCyMsLCz5+SpVqlCwYEH27NlDvXr1AChdujRFixZNvmbHjh2cP3+ewoULp4rl0qVLHDp0yO7Yt2/fzq233kpwcHCaz58/f57hw4fzv//9j5MnT3LlyhUuXbpkdy9+dHQ0J0+epEGDBsltuXLlom7duliWZXecAKtWrWLs2LHs3buXmJgYrly5kvx3DAgIACAgIIDy5csnvyY0NJRTp0459D7/tWPHDnbu3Mn8+fOT2yzLIjExkcOHD9OiRQtKly5NuXLlaNWqFa1ateKBBx5IjklERLyHcnr6lNNFXE/FvEgWy507d/LvNpsNINWUthEjRvDggw9e87qkdXL2yJcvX6rH58+fJzQ0lDVr1lxzbcGCBe2+b968ea/7fP/+/Vm5ciVvvfUWFSpUIG/evDz00EPExcXZ/R728PHxueaLQHx8fPLvR44c4b777uOFF15gzJgxBAcH89NPP/HUU08RFxeXnGSv/ncB5t+Ho18w/uv8+fM899xzvPTSS9c8V6pUKfz8/Pj1119Zs2YN3333HUOHDmX48OFs2bLFoX8XIiLifsrpmaecLpJxKuZFPEjt2rXZt28fFSpUSPP5ypUrc+zYMY4dO5bck797926ioqKoUqXKde8bERFBrly5KFOmTJrX+Pn5kZCQcN34atSowXvvvcfZs2fT7Mlfv349TzzxBA888ABgkuCRI0eue8+rBQUFERoayubNm5PXnF25ciV5PWCSokWLptptOCYmhsOHDyc/3rp1K4mJiUyYMAEfH7M1yKeffmp3HEns+Zv8V+3atdm9e3e6/w7BjEw0b96c5s2bM2zYMAoWLMj333+f5hc+ERHxTsrpyukirqYN8EQ8yNChQ5k3bx4jRoxg165d7Nmzh4ULFzJ48GAAmjdvTvXq1enatSu//vorP//8M48//jh33XUXdevWTfe+zZs3p2HDhrRv357vvvuOI0eOsGHDBl577bXk43XKlCnD4cOH2b59O6dPnyY2Nvaa+3Tu3JnixYvTvn171q9fzx9//MHixYvZuHEjABUrVkzeoGfHjh106dIleYTCXr1792bcuHEsW7aMvXv38uKLLxIVFZXqmrvvvpuPPvqIdevW8dtvv9GtWzd8fX2Tn69QoQLx8fFMnTqVP/74g48++oiZM2c6FEfS32Tnzp3s27eP06dPpxopSM8rr7zChg0b6NmzJ9u3b+fAgQMsX748ebOcL7/8kilTprB9+3b+/PNP5s2bR2JiIrfccovD8YmIiOdSTldOF3E1FfMiHqRly5Z8+eWXfPfdd9SrV4/bbruNSZMmUbp0acBMGVu+fDmFChWicePGNG/enHLlyrFo0aLr3tdms/HVV1/RuHFjnnzySW6++WYeeeQR/vzzT0JCQgDo0KEDrVq1omnTphQtWpRPPvnkmvv4+fnx3XffUaxYMe69916qV6/OuHHjkpPuxIkTKVSoEI0aNaJt27a0bNkyVe+7Pfr168djjz1Gt27daNiwIQUKFEgeFUgyaNAg7rrrLu677z7atGlD+/btU62Tq1mzJhMnTuSNN96gWrVqzJ8/n7FjxzoUB8AzzzzDLbfcQt26dSlatCjr16+/4Wtq1KjB2rVr2b9/P3feeSe33norQ4cOpUSJEoCZArlkyRLuvvtuKleuzMyZM/nkk0+oWrWqw/GJiIjnUk5XThdxNZuV2cUkIiIu9sQTTxAVFZXqbFwRERHxPsrpIs6jkXkRERERERERL6NiXkRERERERMTLaJq9iIiIiIiIiJfRyLyIiIiIiIiIl1ExLyIiIiIiIuJlVMyLiIiIiIiIeBkV8yIiIiIiIiJeRsW8iIiIiIiIiJdRMS8iIiIiIiLiZVTMi4iIiIiIiHgZFfMiIiIiIiIiXub/3sJD6GIbjukAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(10, 6), constrained_layout=True)\n",
    "probplot(cumulative_weighted_assessment_score[33.0], dist=\"norm\", plot=axes[0, 0])\n",
    "probplot(cumulative_weighted_assessment_score[68.0], dist=\"norm\", plot=axes[0, 1])\n",
    "probplot(cumulative_weighted_assessment_score[131.0], dist=\"norm\", plot=axes[1, 0])\n",
    "probplot(cumulative_weighted_assessment_score[166.0], dist=\"norm\", plot=axes[1, 1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f22cde4",
   "metadata": {},
   "source": [
    "Here too, we notice that the distribution deviates from the theoretical quantiles\n",
    "and thus seems to be not normal.\n",
    "\n",
    "###### **Examine normality with the Shapiro-Wilk test**\n",
    "\n",
    "The Shapiro-Wilk normality test tests the null hypothesis H0=\"the distribution is\n",
    "normally distributed\" against H1=\"the distribution is **not** normally distributed\".\n",
    "\n",
    "Thus, the null hypothesis is **rejected** if the p-value is **less or equal** to a\n",
    "chosen alpha level which means that there is evidence that the tested data are **not**\n",
    "normally distributed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "08fa6d3f",
   "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>date</th>\n",
       "      <th>H0 rejected</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>131.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>166.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    date  H0 rejected\n",
       "0   33.0         True\n",
       "1   68.0         True\n",
       "2  131.0         True\n",
       "3  166.0         True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumulative_weighted_assessment_score.agg(\n",
    "    lambda x: shapiro(x).pvalue <= 0.05\n",
    ").rename_axis(\"date\").reset_index(name=\"H0 rejected\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aadd821c",
   "metadata": {},
   "source": [
    "The Shapiro-Wilk test indicates evidence that the distributions are\n",
    "**not** normally distributed.\n",
    "\n",
    "At this stage, we fail to satisfy the required assumptions for an\n",
    "Unpaired t-test because the t-test requires normality to assure that the sample mean\n",
    "is normal.\n",
    "\n",
    "However, the dataset is large (3740), and thus the Central limit theorem applies,\n",
    "which means that the sample mean will follow a normal distribution.\n",
    "\n",
    "Thus, we assume that the normality requirement is satisfied in this case.\n",
    "\n",
    "###### **Verifying equal variances with the Levene test**\n",
    "\n",
    "Finally, let's test the homogeneity of variance using the Levene test.\n",
    "\n",
    "The Levene test tests the null hypothesis H0=\"groups have equal variances\" against\n",
    "H1=\"the variances are different\".\n",
    "\n",
    "Thus, if the p-value is **less or equal** to a chosen alpha level, the null\n",
    "hypothesis is **rejected**, and there is evidence that the group variances are\n",
    "**different**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f3b7c125",
   "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>date</th>\n",
       "      <th>H0 rejected</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>33.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>131.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>166.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    date  H0 rejected\n",
       "0   33.0         True\n",
       "1   68.0         True\n",
       "2  131.0         True\n",
       "3  166.0         True"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumulative_weighted_assessment_score.agg(\n",
    "    lambda x: levene(*[row[~np.isnan(row)] for row in x.unstack().T.values]).pvalue\n",
    "    <= 0.05\n",
    ").rename_axis(\"date\").reset_index(name=\"H0 rejected\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "277aa59a",
   "metadata": {},
   "source": [
    "The Levene test indicates that there is evidence that the variances are **different**.\n",
    "\n",
    "###### **Conclusion**\n",
    "\n",
    "We conclude that assumptions for an Unpaired t-test are not satisfied as the variances\n",
    "are different.\n",
    "\n",
    "Let's use another test instead, which does not require the homogeneity of variance.\n",
    "\n",
    "#### Wilcoxon rank-sum test\n",
    "\n",
    "The Wilcoxon rank-sum test tests the null-hypothesis H0=\"the distributions are equal\"\n",
    "against H1=\"values in one distribution are more likely to be larger than the values in\n",
    "the other distribution\".\n",
    "\n",
    "Thus, if the p-value is **less or equal** to a chosen alpha level, the null\n",
    "hypothesis is **rejected**, and there is evidence that the distributions are\n",
    "**different**.\n",
    "\n",
    "\n",
    "##### Assumptions\n",
    "\n",
    "- [X] **Independence of the observations**\n",
    "- [X] **Values are at least ordinal** (ordering/sorting them makes sense)\n",
    "\n",
    "The dataset satisfies the Wilcoxon rank-sum test assumptions.\n",
    "\n",
    "##### Applying the test\n",
    "\n",
    "We apply the Wilcoxon rank-sum test for each combination of `final_result` (e.g.,\n",
    "Pass-Fail, Pass-Withdrawn, etc.) and for each time-slice (`date`) (33, 68, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a3ad8c36",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">33.0</th>\n",
       "      <th colspan=\"4\" halign=\"left\">68.0</th>\n",
       "      <th colspan=\"4\" halign=\"left\">131.0</th>\n",
       "      <th colspan=\"4\" halign=\"left\">166.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H0 rejected</th>\n",
       "      <th>Distinction</th>\n",
       "      <th>Fail</th>\n",
       "      <th>Pass</th>\n",
       "      <th>Withdrawn</th>\n",
       "      <th>Distinction</th>\n",
       "      <th>Fail</th>\n",
       "      <th>Pass</th>\n",
       "      <th>Withdrawn</th>\n",
       "      <th>Distinction</th>\n",
       "      <th>Fail</th>\n",
       "      <th>Pass</th>\n",
       "      <th>Withdrawn</th>\n",
       "      <th>Distinction</th>\n",
       "      <th>Fail</th>\n",
       "      <th>Pass</th>\n",
       "      <th>Withdrawn</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Distinction</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fail</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
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       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
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       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pass</th>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Withdrawn</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
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      ],
      "text/plain": [
       "                   33.0                                68.0                \\\n",
       "H0 rejected Distinction   Fail   Pass Withdrawn Distinction   Fail   Pass   \n",
       "                                                                            \n",
       "Distinction       False   True   True      True       False   True   True   \n",
       "Fail               True  False   True     False        True  False   True   \n",
       "Pass               True   True  False      True        True   True  False   \n",
       "Withdrawn          True  False   True     False        True   True   True   \n",
       "\n",
       "                            131.0                               166.0         \\\n",
       "H0 rejected Withdrawn Distinction   Fail   Pass Withdrawn Distinction   Fail   \n",
       "                                                                               \n",
       "Distinction      True       False   True   True      True       False   True   \n",
       "Fail             True        True  False   True      True        True  False   \n",
       "Pass             True        True   True  False      True        True   True   \n",
       "Withdrawn       False        True   True   True     False        True   True   \n",
       "\n",
       "                              \n",
       "H0 rejected   Pass Withdrawn  \n",
       "                              \n",
       "Distinction   True      True  \n",
       "Fail          True      True  \n",
       "Pass         False      True  \n",
       "Withdrawn     True     False  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "significance = np.zeros(\n",
    "    (\n",
    "        cumulative_weighted_assessment_score.shape[1],\n",
    "        unstacked_cumulative_weighted_assessment_score.shape[1],\n",
    "    ),\n",
    "    dtype=bool,\n",
    ")\n",
    "\n",
    "for offset, date in enumerate(cumulative_weighted_assessment_score):\n",
    "    df = unstacked_cumulative_weighted_assessment_score[date]\n",
    "    columns = df.columns\n",
    "    offset *= len(columns)\n",
    "    for i, j in combinations(range(len(columns)), r=2):\n",
    "        significance[i, j + offset] = significance[j, i + offset] = (\n",
    "            ranksums(df.iloc[:, i], df.iloc[:, j], nan_policy=\"omit\").pvalue <= 0.05\n",
    "        )\n",
    "\n",
    "significance_df = (\n",
    "    pd.DataFrame(\n",
    "        significance,\n",
    "        index=unstacked_cumulative_weighted_assessment_score.columns.levels[1],\n",
    "        columns=unstacked_cumulative_weighted_assessment_score.T.index,\n",
    "    )\n",
    "    .rename_axis(\"\")\n",
    "    .rename_axis([\"\", \"H0 rejected\"], axis=1)\n",
    ")\n",
    "\n",
    "display(significance_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5ea71fc",
   "metadata": {},
   "source": [
    "As in the work of Hlosta et al. the hypothesis test indicates a\n",
    "significant difference between the groups in the time slices, starting from the\n",
    "first time slice (the assessment from day 33).\n",
    "\n",
    "We also note that the test did not reject the null hypothesis for the (Withdrawn-Fail)\n",
    "couple in the first time slice (33), indicating that there is **not** enough evidence\n",
    "to conclude the distributions to be different.\n",
    "\n",
    "### Step 3: Compute the splitting value\n",
    "\n",
    "This step tries to compute the splitting value in each time slice that minimizes\n",
    "the split error (i.e., maximizes the number of correct predictions).\n",
    "\n",
    "We intend only to separate **Pass**ing students from **Fail**ing students.\n",
    "Therefore we re-label students that had **Withdrawn** from the course as **Fail**ing\n",
    "and re-label those that had succeeded exceptionally well (**Distinction**) as\n",
    "**Pass**ing students.\n",
    "\n",
    "```{warning}\n",
    "We are still working on this part! Our current implementation follows a\n",
    "**naive** approach!\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "63cd819d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>score</th>\n",
       "      <th>separator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33.0</th>\n",
       "      <td>0.78</td>\n",
       "      <td>11.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68.0</th>\n",
       "      <td>0.83</td>\n",
       "      <td>26.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131.0</th>\n",
       "      <td>0.89</td>\n",
       "      <td>42.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166.0</th>\n",
       "      <td>0.91</td>\n",
       "      <td>53.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       score  separator\n",
       "33.0    0.78      11.04\n",
       "68.0    0.83      26.72\n",
       "131.0   0.89      42.48\n",
       "166.0   0.91      53.40"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "splitting_values = []\n",
    "\n",
    "for date in cumulative_weighted_assessment_score.columns:\n",
    "    df = cumulative_weighted_assessment_score[date]\n",
    "    index = df.index.get_level_values(1).values\n",
    "    index[index == \"Distinction\"] = \"Pass\"\n",
    "    index[index == \"Withdrawn\"] = \"Fail\"\n",
    "\n",
    "    unique_values = np.sort(df.unique())\n",
    "    max_score = 0  # pylint: disable=invalid-name\n",
    "    result = {}\n",
    "    for value in unique_values:\n",
    "        separator = df < value\n",
    "        # We suppose Fail score < Pass score\n",
    "        score = (index[separator] == \"Fail\").sum() + (index[~separator] == \"Pass\").sum()\n",
    "        if score > max_score:\n",
    "            max_score = score\n",
    "            result = {\n",
    "                \"score\": round(\n",
    "                    max_score / cumulative_weighted_assessment_score.shape[0], 2\n",
    "                ),\n",
    "                \"separator\": value,\n",
    "            }\n",
    "\n",
    "    splitting_values.append(result)\n",
    "\n",
    "splitting_values = pd.DataFrame(\n",
    "    splitting_values, index=cumulative_weighted_assessment_score.columns.astype(float)\n",
    ")\n",
    "display(splitting_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d3a3a9f",
   "metadata": {},
   "source": [
    "We note that although we get results of similar quality, there are some differences.\n",
    "For instance, in the work of Hlosta et al. the obtained splitting values were around\n",
    "\\[`13`, `20`, `40`, and `55`]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4070816d",
   "metadata": {},
   "source": [
    "### Step 4: Plot the time-series graph\n",
    "\n",
    "Finally, let's plot the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7cbb95f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = splitting_values[\"separator\"].plot(\n",
    "    color=\"black\",\n",
    "    linewidth=4,\n",
    "    figsize=(12, 8),\n",
    "    title=\"Cumulative assessment score by student final_result\",\n",
    "    xlabel=\"Day\",\n",
    "    ylabel=\"Cumulative assessment score\",\n",
    ")\n",
    "\n",
    "mean_and_quartiles = (\n",
    "    cumulative_weighted_assessment_score.groupby(\"final_result\")\n",
    "    .agg(\n",
    "        [\n",
    "            (\"mean\", \"mean\"),\n",
    "            (\"first_quartile\", lambda x: np.percentile(x, 25)),\n",
    "            (\"third_quartile\", lambda x: np.percentile(x, 75)),\n",
    "        ]\n",
    "    )\n",
    "    .T.reorder_levels(order=[1, 0])\n",
    "    .unstack()\n",
    ")\n",
    "\n",
    "\n",
    "def fill_between_plot(label, color, values):\n",
    "    \"\"\"Plots a matplotlib `fill_between` plot in the given axis.\"\"\"\n",
    "    ax.plot(values.index.astype(float), values[\"mean\"], label=label, color=color)\n",
    "    args = [values.index.astype(float), values.first_quartile, values.third_quartile]\n",
    "    ax.fill_between(*args, color=color, alpha=0.3)\n",
    "\n",
    "\n",
    "fill_between_plot(\"Distinction\", \"green\", mean_and_quartiles[\"Distinction\"].T)\n",
    "fill_between_plot(\"Pass\", \"blue\", mean_and_quartiles[\"Pass\"].T)\n",
    "fill_between_plot(\"Fail\", \"red\", mean_and_quartiles[\"Fail\"].T)\n",
    "fill_between_plot(\"Withdrawn\", \"orange\", mean_and_quartiles[\"Withdrawn\"].T)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "056e0b69",
   "metadata": {},
   "source": [
    "Here too, we get similar graphs.\n",
    "We note from this visualization that a clear distinction can be made between\n",
    "`Distinction/Pass` and `Fail/Withdrawn` students if only considering the 25 and\n",
    "75 percentile.\n",
    "\n",
    "However, it might seem surprising why the splitting line is positioned that low.\n",
    "\n",
    "Let's plot the same graph and replace the 25/75 percentiles with 0/100 (i.e., min/max)\n",
    "percentiles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "81451cec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = splitting_values[\"separator\"].plot(\n",
    "    color=\"black\",\n",
    "    linewidth=4,\n",
    "    figsize=(12, 8),\n",
    "    title=\"Cumulative assessment score by student final_result\",\n",
    "    xlabel=\"Day\",\n",
    "    ylabel=\"Cumulative assessment score\",\n",
    ")\n",
    "\n",
    "mean_and_quartiles = (\n",
    "    cumulative_weighted_assessment_score.groupby(\"final_result\")\n",
    "    .agg(\n",
    "        [\n",
    "            (\"mean\", \"mean\"),\n",
    "            (\"first_quartile\", lambda x: np.percentile(x, 0)),\n",
    "            (\"third_quartile\", lambda x: np.percentile(x, 100)),\n",
    "        ]\n",
    "    )\n",
    "    .T.reorder_levels(order=[1, 0])\n",
    "    .unstack()\n",
    ")\n",
    "\n",
    "fill_between_plot(\"Distinction\", \"green\", mean_and_quartiles[\"Distinction\"].T)\n",
    "fill_between_plot(\"Pass\", \"blue\", mean_and_quartiles[\"Pass\"].T)\n",
    "fill_between_plot(\"Fail\", \"red\", mean_and_quartiles[\"Fail\"].T)\n",
    "fill_between_plot(\"Withdrawn\", \"orange\", mean_and_quartiles[\"Withdrawn\"].T)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45038f5e",
   "metadata": {},
   "source": [
    "We note that there is much more overlapping if considering the extremes.\n",
    "This might explain why the splitting line was lower than expected previously, as it\n",
    "tries to balance the tradeoff between passing students with a lower score and failing\n",
    "students with a higher score.\n",
    "\n",
    "## Cumulative number of clicks\n",
    "\n",
    "We use the number of clicks in the VLE (Virtual Learning Environment) for the key\n",
    "performance metric.\n",
    "\n",
    "We follow the same steps as in the\n",
    "[first example](#cumulative-weighted-assessments-scores).\n",
    "\n",
    "### Step 1: Model the metric as a time series for each student\n",
    "\n",
    "As in the work of Hlosta et al. we will use the `EEE/2014J` course.\n",
    "\n",
    "```{note}\n",
    "During merging, we loose 91 students that haven't interacted with the VLE.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "30989123",
   "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>date</th>\n",
       "      <th>-18</th>\n",
       "      <th>-17</th>\n",
       "      <th>-16</th>\n",
       "      <th>-15</th>\n",
       "      <th>-14</th>\n",
       "      <th>-13</th>\n",
       "      <th>-12</th>\n",
       "      <th>-11</th>\n",
       "      <th>-10</th>\n",
       "      <th>-9</th>\n",
       "      <th>...</th>\n",
       "      <th>260</th>\n",
       "      <th>261</th>\n",
       "      <th>262</th>\n",
       "      <th>263</th>\n",
       "      <th>264</th>\n",
       "      <th>265</th>\n",
       "      <th>266</th>\n",
       "      <th>267</th>\n",
       "      <th>268</th>\n",
       "      <th>269</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_student</th>\n",
       "      <th>final_result</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <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>46048</th>\n",
       "      <th>Withdrawn</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>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47061</th>\n",
       "      <th>Pass</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>...</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>347.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60809</th>\n",
       "      <th>Pass</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>...</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "      <td>2422.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62034</th>\n",
       "      <th>Pass</th>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1889.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67539</th>\n",
       "      <th>Pass</th>\n",
       "      <td>0.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1437.0</td>\n",
       "      <td>1437.0</td>\n",
       "      <td>1437.0</td>\n",
       "      <td>1437.0</td>\n",
       "      <td>1437.0</td>\n",
       "      <td>1438.0</td>\n",
       "      <td>1438.0</td>\n",
       "      <td>1438.0</td>\n",
       "      <td>1438.0</td>\n",
       "      <td>1438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2654928</th>\n",
       "      <th>Pass</th>\n",
       "      <td>29.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1784.0</td>\n",
       "      <td>1784.0</td>\n",
       "      <td>1784.0</td>\n",
       "      <td>1784.0</td>\n",
       "      <td>1784.0</td>\n",
       "      <td>1784.0</td>\n",
       "      <td>1785.0</td>\n",
       "      <td>1785.0</td>\n",
       "      <td>1785.0</td>\n",
       "      <td>1785.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2663195</th>\n",
       "      <th>Pass</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>...</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>1112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2681277</th>\n",
       "      <th>Withdrawn</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>166.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2686053</th>\n",
       "      <th>Distinction</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2332.0</td>\n",
       "      <td>2332.0</td>\n",
       "      <td>2334.0</td>\n",
       "      <td>2334.0</td>\n",
       "      <td>2335.0</td>\n",
       "      <td>2335.0</td>\n",
       "      <td>2336.0</td>\n",
       "      <td>2336.0</td>\n",
       "      <td>2336.0</td>\n",
       "      <td>2336.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2686712</th>\n",
       "      <th>Fail</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "      <td>1205.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1097 rows × 288 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                     -18   -17   -16   -15   -14   -13   -12   -11   -10   \\\n",
       "id_student final_result                                                         \n",
       "46048      Withdrawn      0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "47061      Pass           0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "60809      Pass           0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "62034      Pass          28.0  28.0  28.0  28.0  28.0  28.0  28.0  28.0  28.0   \n",
       "67539      Pass           0.0  19.0  19.0  26.0  26.0  26.0  26.0  26.0  26.0   \n",
       "...                       ...   ...   ...   ...   ...   ...   ...   ...   ...   \n",
       "2654928    Pass          29.0  35.0  46.0  46.0  46.0  46.0  46.0  46.0  46.0   \n",
       "2663195    Pass           0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2681277    Withdrawn      0.0   0.0   0.0   0.0   3.0   3.0   3.0   3.0   3.0   \n",
       "2686053    Distinction    7.0   7.0  12.0  12.0  17.0  20.0  20.0  20.0  20.0   \n",
       "2686712    Fail           0.0   0.0   0.0   1.0  34.0  34.0  34.0  34.0  34.0   \n",
       "\n",
       "date                     -9    ...     260     261     262     263     264  \\\n",
       "id_student final_result        ...                                           \n",
       "46048      Withdrawn      0.0  ...    12.0    12.0    12.0    12.0    12.0   \n",
       "47061      Pass           0.0  ...   347.0   347.0   347.0   347.0   347.0   \n",
       "60809      Pass           0.0  ...  2422.0  2422.0  2422.0  2422.0  2422.0   \n",
       "62034      Pass          28.0  ...  1887.0  1887.0  1887.0  1887.0  1887.0   \n",
       "67539      Pass          26.0  ...  1437.0  1437.0  1437.0  1437.0  1437.0   \n",
       "...                       ...  ...     ...     ...     ...     ...     ...   \n",
       "2654928    Pass          46.0  ...  1784.0  1784.0  1784.0  1784.0  1784.0   \n",
       "2663195    Pass           0.0  ...  1112.0  1112.0  1112.0  1112.0  1112.0   \n",
       "2681277    Withdrawn      3.0  ...   166.0   166.0   166.0   166.0   166.0   \n",
       "2686053    Distinction   30.0  ...  2332.0  2332.0  2334.0  2334.0  2335.0   \n",
       "2686712    Fail          34.0  ...  1205.0  1205.0  1205.0  1205.0  1205.0   \n",
       "\n",
       "date                        265     266     267     268     269  \n",
       "id_student final_result                                          \n",
       "46048      Withdrawn       12.0    12.0    12.0    12.0    12.0  \n",
       "47061      Pass           347.0   347.0   347.0   347.0   347.0  \n",
       "60809      Pass          2422.0  2422.0  2422.0  2422.0  2422.0  \n",
       "62034      Pass          1889.0  1889.0  1889.0  1889.0  1889.0  \n",
       "67539      Pass          1438.0  1438.0  1438.0  1438.0  1438.0  \n",
       "...                         ...     ...     ...     ...     ...  \n",
       "2654928    Pass          1784.0  1785.0  1785.0  1785.0  1785.0  \n",
       "2663195    Pass          1112.0  1112.0  1112.0  1112.0  1112.0  \n",
       "2681277    Withdrawn      166.0   166.0   166.0   166.0   166.0  \n",
       "2686053    Distinction   2335.0  2336.0  2336.0  2336.0  2336.0  \n",
       "2686712    Fail          1205.0  1205.0  1205.0  1205.0  1205.0  \n",
       "\n",
       "[1097 rows x 288 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cumulative_click_count = (\n",
    "    oulad.student_registration[\n",
    "        (oulad.student_registration.code_module == \"EEE\")\n",
    "        & (oulad.student_registration.code_presentation == \"2014J\")\n",
    "    ][[\"id_student\"]]\n",
    "    .merge(\n",
    "        oulad.student_vle[\n",
    "            (oulad.student_vle.code_module == \"EEE\")\n",
    "            & (oulad.student_vle.code_presentation == \"2014J\")\n",
    "        ][[\"id_student\", \"date\", \"sum_click\"]],\n",
    "        how=\"inner\",\n",
    "        on=\"id_student\",\n",
    "    )\n",
    "    .groupby([\"id_student\", \"date\"])\n",
    "    .agg(\"sum\")\n",
    "    .join(\n",
    "        oulad.student_info[\n",
    "            (oulad.student_info.code_module == \"EEE\")\n",
    "            & (oulad.student_info.code_presentation == \"2014J\")\n",
    "        ][[\"id_student\", \"final_result\"]].set_index(\"id_student\")\n",
    "    )\n",
    "    .set_index(\"final_result\", append=True)\n",
    "    .unstack(level=1)\n",
    "    .fillna(0)\n",
    "    .cumsum(axis=1)[\"sum_click\"]\n",
    ")\n",
    "display(cumulative_click_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01108fc3",
   "metadata": {},
   "source": [
    "### Step 2: Perform statistical tests\n",
    "\n",
    "As in the first example, let's first check whether we can use the Unpaired t-test.\n",
    "\n",
    "#### Unpaired t-test\n",
    "\n",
    "##### Assumptions\n",
    "\n",
    "###### **Detecting extreme outliers statistically**\n",
    "\n",
    "Let's verify whether there are any extreme outliers (above `Q3 + 3xIQR` or below\n",
    "`Q1 - 3xIQR`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "00b818d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of extreme outliers (N=4330) represents 1.37% of the dataset (N=315936)\n"
     ]
    }
   ],
   "source": [
    "extremes = (\n",
    "    cumulative_click_count.quantile([0.25, 0.75])\n",
    "    .T.assign(IQR=lambda x: x[0.75] - x[0.25])\n",
    "    .assign(\n",
    "        lower_extreme=lambda x: x[0.25] - 3 * x[\"IQR\"],\n",
    "        upper_extreme=lambda x: x[0.75] + 3 * x[\"IQR\"],\n",
    "    )[[\"lower_extreme\", \"upper_extreme\"]]\n",
    ")\n",
    "\n",
    "bigger = cumulative_click_count > extremes.upper_extreme\n",
    "smaller = cumulative_click_count < extremes.lower_extreme\n",
    "total = bigger.sum().sum() + smaller.sum().sum()\n",
    "\n",
    "print(\n",
    "    f\"The number of extreme outliers (N={total}) represents \"\n",
    "    f\"{100 * total / cumulative_click_count.count().sum():.2f}\"\n",
    "    f\"% of the dataset (N={cumulative_click_count.count().sum()})\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0aad88b",
   "metadata": {},
   "source": [
    "We note that the outliers ratio is more significant than in the previous example.\n",
    "However, as the number of samples is much more prominent in this case, we also suppose\n",
    "that the impact on the t-test will be limited.\n",
    "\n",
    "###### **Examine normality**\n",
    "\n",
    "We skip this step as the number of samples is high, and the central limit theorem\n",
    "applies.\n",
    "\n",
    "Thus, we assume here too that the normality requirement is satisfied.\n",
    "\n",
    "###### **Verifying equal variances with the Levene test**\n",
    "\n",
    "Finally, let's test the homogeneity of variance using the Levene test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "30b14b62",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>287</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>288 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  H0 rejected\n",
       "0        0         True\n",
       "1        1         True\n",
       "2        2         True\n",
       "3        3         True\n",
       "4        4         True\n",
       "..     ...          ...\n",
       "283    283         True\n",
       "284    284         True\n",
       "285    285         True\n",
       "286    286         True\n",
       "287    287         True\n",
       "\n",
       "[288 rows x 2 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumulative_click_count.agg(\n",
    "    lambda x: levene(*[row[~np.isnan(row)] for row in x.unstack().T.values]).pvalue\n",
    "    <= 0.05\n",
    ").rename_axis(\"date\").reset_index(0, drop=True).reset_index(name=\"H0 rejected\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6abbb0f0",
   "metadata": {},
   "source": [
    "The Levene test indicates that there is evidence that the variances are **different**.\n",
    "\n",
    "###### **Conclusion**\n",
    "\n",
    "As in the first example, we conclude that assumptions for an Unpaired t-test are not\n",
    "satisfied as the variances are different.\n",
    "\n",
    "Therefore, we skip to the next test.\n",
    "\n",
    "#### Wilcoxon rank-sum test\n",
    "\n",
    "##### Assumptions\n",
    "\n",
    "The dataset satisfies the Wilcoxon rank-sum test assumptions. We skip to the next\n",
    "step.\n",
    "\n",
    "##### Applying the test\n",
    "\n",
    "We apply the Wilcoxon rank-sum test for each combination of `final_result` (e.g.,\n",
    "Pass-Fail, Pass-Withdrawn, etc.) and for each time-slice (`date`) (-18, -17, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2c4961fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">-18</th>\n",
       "      <th colspan=\"4\" halign=\"left\">-17</th>\n",
       "      <th colspan=\"2\" halign=\"left\">-16</th>\n",
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       "      <th colspan=\"4\" halign=\"left\">268</th>\n",
       "      <th colspan=\"4\" halign=\"left\">269</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H0 rejected</th>\n",
       "      <th>Distinction</th>\n",
       "      <th>Fail</th>\n",
       "      <th>Pass</th>\n",
       "      <th>Withdrawn</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <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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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Distinction</th>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fail</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pass</th>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
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       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Withdrawn</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 1152 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   -18                                 -17                 \\\n",
       "H0 rejected Distinction   Fail   Pass Withdrawn Distinction   Fail   Pass   \n",
       "                                                                            \n",
       "Distinction       False   True   True      True       False   True   True   \n",
       "Fail               True  False   True     False        True  False   True   \n",
       "Pass               True   True  False     False        True   True  False   \n",
       "Withdrawn          True  False  False     False        True  False   True   \n",
       "\n",
       "                             -16          ...    267                   268  \\\n",
       "H0 rejected Withdrawn Distinction   Fail  ...   Pass Withdrawn Distinction   \n",
       "                                          ...                                \n",
       "Distinction      True       False   True  ...   True      True       False   \n",
       "Fail            False        True  False  ...   True      True        True   \n",
       "Pass             True        True   True  ...  False      True        True   \n",
       "Withdrawn       False        True  False  ...   True     False        True   \n",
       "\n",
       "                                            269                          \n",
       "H0 rejected   Fail   Pass Withdrawn Distinction   Fail   Pass Withdrawn  \n",
       "                                                                         \n",
       "Distinction   True   True      True       False   True   True      True  \n",
       "Fail         False   True      True        True  False   True      True  \n",
       "Pass          True  False      True        True   True  False      True  \n",
       "Withdrawn     True   True     False        True   True   True     False  \n",
       "\n",
       "[4 rows x 1152 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unstacked_cumulative_click_count = cumulative_click_count.unstack()\n",
    "significance = np.zeros(\n",
    "    (\n",
    "        cumulative_click_count.index.levels[1].shape[0],\n",
    "        unstacked_cumulative_click_count.shape[1],\n",
    "    ),\n",
    "    dtype=bool,\n",
    ")\n",
    "\n",
    "for offset, date in enumerate(cumulative_click_count):\n",
    "    df = unstacked_cumulative_click_count[date]\n",
    "    columns = df.columns\n",
    "    offset *= len(columns)\n",
    "    for i, j in combinations(range(len(columns)), r=2):\n",
    "        significance[i, j + offset] = significance[j, i + offset] = (\n",
    "            ranksums(df.iloc[:, i], df.iloc[:, j], nan_policy=\"omit\").pvalue <= 0.05\n",
    "        )\n",
    "\n",
    "significance_df = (\n",
    "    pd.DataFrame(\n",
    "        significance,\n",
    "        index=unstacked_cumulative_click_count.columns.levels[1],\n",
    "        columns=unstacked_cumulative_click_count.T.index,\n",
    "    )\n",
    "    .rename_axis(\"\")\n",
    "    .rename_axis([\"\", \"H0 rejected\"], axis=1)\n",
    ")\n",
    "\n",
    "display(significance_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a91439e2",
   "metadata": {},
   "source": [
    "The hypothesis test indicates a significant difference in the variance between the\n",
    "groups in the time slices, starting from the first time slice (from the day -18)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b512cbfc",
   "metadata": {},
   "source": [
    "### Step 3: Compute the splitting value\n",
    "\n",
    "As in the first example, in this step, we try to compute the splitting value in each\n",
    "time slice that minimizes the split error between **Pass**ing students and **Fail**ing\n",
    "students (counting \"Distinction\" also as \"Passing\" and \"Withdrawn\" as \"Failing\")\n",
    "\n",
    "```{warning}\n",
    "We are still working on this part! Our current implementation follows a\n",
    "**naive** approach!\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b2179bc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>score</th>\n",
       "      <th>separator</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>-18</th>\n",
       "      <td>0.62</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>-17</th>\n",
       "      <td>0.62</td>\n",
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       "    <tr>\n",
       "      <th>-16</th>\n",
       "      <td>0.62</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>-15</th>\n",
       "      <td>0.62</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-14</th>\n",
       "      <td>0.62</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>0.87</td>\n",
       "      <td>712.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>0.87</td>\n",
       "      <td>712.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>0.87</td>\n",
       "      <td>712.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>0.87</td>\n",
       "      <td>712.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>0.87</td>\n",
       "      <td>712.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>288 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      score  separator\n",
       "date                  \n",
       "-18    0.62        0.0\n",
       "-17    0.62        0.0\n",
       "-16    0.62        0.0\n",
       "-15    0.62        0.0\n",
       "-14    0.62        0.0\n",
       "...     ...        ...\n",
       " 265   0.87      712.0\n",
       " 266   0.87      712.0\n",
       " 267   0.87      712.0\n",
       " 268   0.87      712.0\n",
       " 269   0.87      712.0\n",
       "\n",
       "[288 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "splitting_values = []\n",
    "\n",
    "for date in cumulative_click_count.columns:\n",
    "    df = cumulative_click_count[date]\n",
    "    index = df.index.get_level_values(1).values\n",
    "    index[index == \"Distinction\"] = \"Pass\"\n",
    "    index[index == \"Withdrawn\"] = \"Fail\"\n",
    "\n",
    "    unique_values = np.sort(df.unique())\n",
    "    max_score = 0  # pylint: disable=invalid-name\n",
    "    result = {}\n",
    "    previous_value = np.nan\n",
    "    for value in unique_values:\n",
    "        # Larger interval ==> more speed but less precision\n",
    "        if value - previous_value < 100:\n",
    "            continue\n",
    "        previous_value = value\n",
    "        separator = df < value\n",
    "        # We suppose Fail score < Pass score\n",
    "        score = (index[separator] == \"Fail\").sum() + (index[~separator] == \"Pass\").sum()\n",
    "        if score > max_score:\n",
    "            max_score = score\n",
    "            result = {\n",
    "                \"score\": round(max_score / cumulative_click_count.shape[0], 2),\n",
    "                \"separator\": value,\n",
    "            }\n",
    "\n",
    "    splitting_values.append(result)\n",
    "\n",
    "splitting_values = pd.DataFrame(splitting_values, index=cumulative_click_count.columns)\n",
    "display(splitting_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "607cc81b",
   "metadata": {},
   "source": [
    "### Step 4: Plot the time-series graph\n",
    "\n",
    "Finally, let's plot the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fc95a23c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = splitting_values[\"separator\"].plot(\n",
    "    color=\"black\",\n",
    "    linewidth=4,\n",
    "    figsize=(12, 8),\n",
    "    title=\"Cumulative click count by student final_result\",\n",
    "    xlabel=\"Day\",\n",
    "    ylabel=\"Cumulative click count\",\n",
    ")\n",
    "\n",
    "mean_and_quartiles = (\n",
    "    cumulative_click_count.groupby(\"final_result\")\n",
    "    .agg(\n",
    "        [\n",
    "            (\"mean\", \"mean\"),\n",
    "            (\"first_quartile\", lambda x: np.percentile(x, 25)),\n",
    "            (\"third_quartile\", lambda x: np.percentile(x, 75)),\n",
    "        ]\n",
    "    )\n",
    "    .T.reorder_levels(order=[1, 0])\n",
    "    .unstack()\n",
    ")\n",
    "\n",
    "fill_between_plot(\"Distinction\", \"green\", mean_and_quartiles[\"Distinction\"].T)\n",
    "fill_between_plot(\"Pass\", \"blue\", mean_and_quartiles[\"Pass\"].T)\n",
    "fill_between_plot(\"Fail\", \"red\", mean_and_quartiles[\"Fail\"].T)\n",
    "fill_between_plot(\"Withdrawn\", \"orange\", mean_and_quartiles[\"Withdrawn\"].T)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}