From 19759a59d3340d03ecbc0c435b95bdd10bb76d47 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 01:26:03 +0200 Subject: [PATCH 01/34] feat: metadatta --- tardis_eda.ipynb | 1975 ++++++---------------------------------------- 1 file changed, 222 insertions(+), 1753 deletions(-) diff --git a/tardis_eda.ipynb b/tardis_eda.ipynb index ab9f35b..9a4db4e 100644 --- a/tardis_eda.ipynb +++ b/tardis_eda.ipynb @@ -87,12 +87,7 @@ "id": "a736fcc960a1915b" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:45.808308514Z", - "start_time": "2026-05-20T13:46:44.687391948Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "import scripts.audit as audit\n", @@ -107,7 +102,7 @@ ], "id": "234b7129843b91ba", "outputs": [], - "execution_count": 1 + "execution_count": null }, { "metadata": {}, @@ -122,12 +117,7 @@ "id": "82085efa57284be2" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:45.859705720Z", - "start_time": "2026-05-20T13:46:45.811157084Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "if not Path(\"data\").exists():\n", @@ -139,7 +129,7 @@ ], "id": "d4db671ea629fd5b", "outputs": [], - "execution_count": 2 + "execution_count": null }, { "metadata": {}, @@ -160,12 +150,7 @@ "id": "66e1905fc6fe89ea" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:45.930166090Z", - "start_time": "2026-05-20T13:46:45.863941985Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "report = audit.AuditReport()\n", @@ -173,7 +158,7 @@ ], "id": "f19d4e2ed4fa491c", "outputs": [], - "execution_count": 3 + "execution_count": null }, { "metadata": {}, @@ -193,25 +178,12 @@ "id": "c55aa21f63894f40" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.021968147Z", - "start_time": "2026-05-20T13:46:45.934350546Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, original_file = loading.load_data(\"data/raw/trains/dataset.csv\")", "id": "35dfd89068388976", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loaded: 12070 rows, 26 columns\n" - ] - } - ], - "execution_count": 4 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -220,12 +192,7 @@ "id": "4021d43ccfe1410b" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.331530474Z", - "start_time": "2026-05-20T13:46:46.023344675Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "report.record_initial_state(original_file)\n", @@ -235,19 +202,8 @@ "cplots.plot_null_overview(original_file, initial_null_total, nb_rows, nb_slots)" ], "id": "4f7169607d86e385", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 5 + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -267,12 +223,7 @@ ] }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.403461732Z", - "start_time": "2026-05-20T13:46:46.351031294Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "comp_df, comp_original = loading.load_data(\"data/raw/trains/gares-de-voyageurs.csv\")\n", @@ -287,28 +238,8 @@ "print(comp_original.dtypes)" ], "id": "cb0840265bab9c50", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loaded: 2782 rows, 7 columns\n", - "Shape : 2782 rows × 7 columns\n", - "Total cells: 19,474\n", - "Total nulls: 0\n", - "\n", - "Nom_Gare str\n", - "Trigramme str\n", - "Segment(s) DRG str\n", - "Position géographique str\n", - "Code commune int64\n", - "Code_UIC str\n", - "Id_Gare str\n", - "dtype: object\n" - ] - } - ], - "execution_count": 6 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -329,26 +260,12 @@ "id": "579359f34e782aae" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.476276406Z", - "start_time": "2026-05-20T13:46:46.422348662Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, comment_cols = cleaning.drop_comment_columns(df)", "id": "a9af046adf56d96d", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dropped 3 column(s): ['Cancellation comments', 'Departure delay comments', 'Arrival delay comments']\n", - "Remaining: 23 columns\n" - ] - } - ], - "execution_count": 7 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -357,17 +274,12 @@ "id": "1b4d8044a70f43ff" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.542262453Z", - "start_time": "2026-05-20T13:46:46.491309390Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "report.record_comment_cols(comment_cols)", "id": "4346adac3d758460", "outputs": [], - "execution_count": 8 + "execution_count": null }, { "metadata": {}, @@ -386,12 +298,7 @@ "id": "d75c49301f2f13e4" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.648896998Z", - "start_time": "2026-05-20T13:46:46.547669613Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "df, nb_dup = cleaning.deduplicate(df)\n", @@ -399,19 +306,8 @@ " cplots.plot_dedup(nb_dup, nb_rows)" ], "id": "38f35fd5de48bd21", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 9 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -420,17 +316,12 @@ "id": "a532dfa6a1eeb7b7" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.697955270Z", - "start_time": "2026-05-20T13:46:46.650080892Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "report.record_duplicates(nb_dup)", "id": "c8f794b0ef43654c", "outputs": [], - "execution_count": 10 + "execution_count": null }, { "metadata": {}, @@ -447,12 +338,7 @@ "id": "72cb78c176401860" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.753154381Z", - "start_time": "2026-05-20T13:46:46.700503574Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "comp_df, comp_nb_dup = cleaning.deduplicate(comp_df)\n", @@ -461,17 +347,8 @@ " cplots.plot_dedup(comp_nb_dup, comp_nb_rows)" ], "id": "7a2ee09a28a51783", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No duplicates found.\n", - "Duplicate rows found and removed: 0\n" - ] - } - ], - "execution_count": 11 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -492,28 +369,12 @@ "id": "a815d6b280c6cb34" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:46.961085324Z", - "start_time": "2026-05-20T13:46:46.770777518Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "cplots.plot_current_nan(df)", "id": "4691c5c2cf56fa3", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 12 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -532,28 +393,12 @@ "id": "9ce0fd4bad42c7fe" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.119128824Z", - "start_time": "2026-05-20T13:46:46.981857466Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "cplots.plot_comp_null_overview(comp_original)", "id": "9c7d5f0310d207a4", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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ldMstt2jJkiVZYaQk/bF5s44dO3bNWj08POTu5qYdO3fmexjPf/e3tbWVl5enTp08pejo6GwTpsfEXFbdOnVUvXq1XI/j6empu+66S6t//FGuLi7Znw8bN6lmjRq5rjZZXCxfvkLBJ05o9Ki8pyqwWCxZYaTJZJKnp6dsbWy0b/9+NWqU98978uSpKl++vAYOHFCgmu5pd492796dredldHS0VlwVKuem/b336uLFi1q5clXWtrS0NM2aNVuurq45hsivXftL1kWJJP3999/avWeP2t/bLmvbf58rDg4O8vby0u49meedaz1+AADKojNnzmjZsuXq37+/ypUrl2e7/76+urm5ydvLS9u2b1e1alXl5uaW6z4zZ32jqKhojb7BuSSv97p/I+/r5s2ff90wUpI6d3lAERER+uab2Xm2ubd9u3/et2Qf0fHVV1/LbDbr3nb35P/BXkdhXEddfS2wY8dOVcnndQcAWAM9JMuw2NjMINLVxTVf7QMCKik9PV2nTp3Ktj0sLEzR0dGqFFAp2/aQkNBs318JskJDz2fbfvly5nYPT49s29PT03X69Jls206cOCFJea6E7OPjI09PTw0cMEADB+QetPj4+mavMzSvOq/afvmybGxs5O7upqioaFWvXl1ms1lb/9yc6/2k/ifklKTz58/naBMdE6P69evluv/VKlWsqLHjxur+Dh1yzI/n5p79jWFqaqpCc7m/H35YrTden6ge3R/W1Gkfy83NTfe1b5/tk+DcBPzzuz158lSO24KDT+QIfu67r73+97/n1LBBg2zzFObnDaGU2cNz5Ijh6t27l/z9/bPNd+P+nzfBH340WbO/mak/t2zWkSNHtXHjRi1dtkxHjhyVJFWrVk1ms1njXxin8S/k7CkoSb4+Ptne/Oa3vrzejF9PUlJStlD3WvLbS7Jnz0c1bOhQ1apVM9s8p9f6lH7Hjh3a8uefevaZp/Xdd9/nu/6ASpW0e3fOKR6uPi/kum9AJZ08eSrbkCJJCgwK/OfY2f+uT548meMYJ06c0INdu2Z97+npqdGjntdDD3WTn59ftrbuN/g7AgCgNJv28Sd65JEeGjH82Tx7Sd5x++0aO3a0mjVrlmOos7ubW67vZWJjY7N6Sd7SsKGiY2IKVNf1Xvdv5H3dmTM5523MTbWqVRUcHKz09PQ82wRUCtDFixezjeaQ/p3i53rzaBfEzV5HJSYmKTIyMtu2mJgY5tgGUKwQSJZhcXFxOn/+Qq6TRV/L1WFCXtItub+gW/J4oTfJVKA6cnMluFq6bJmWLFmaa5vDh49k+z6vNx7p6bmHZ1fqNJtNslgs6j/gMVlyeaxXv1nJ83im6z9us9mshQvny9PTU59//rmCgoKVkJggf39/fTxtao4JqlNSUnL9PcXExOi39evVo0d3TZ32sbp26Zw5r18+erfl15133qk5s7/R9u079NJLr+jipYtKS0tT71691KNH93wd4+233lTv3r00Y+Ys7d69W7GXY5WhDH3x+XSZ/vNYd+zYoVZ3tVHH++/X3Xe3Vd++fTRkyGBNmPCi5i9YKLM582f7xRdfauOmTbne18l8BGlX69btQU37ZwGeglq0eIlGjRqd7/bLl6/4Zy7J/+UaSPbo0V0fT5uqNWvW6osvv1R4eIQslnSNGDFc1arm/LT8v6ZMmably5ZowID+2eY7LUm++vJz3X777friiy918NBhJcTHy2Q2a8H875m4HQCAXJz5Z7qc/v37ZxuSfEXVqlW1aNECBQcH6/U33lRoaKhSU1N17733atjQIdnei11t5qxvNGTIYI0ePeqaQ8JvxI28ryvItDRFKa/rJ5s8fpY3ex2V27UJABQ3BJJl3G/rf9PAAQPUrNlt2YYF5ObcuRDZ2NioevXqCgr6d7EPX19feXp6KuRcSKHWZmNjo6pVq+jEiX8/La1Ro4Yk6ezZc7nuExERodjYWNmYbbR585ZCredqp0+dltls1tmzZ7LVeDPyerNSv3491axZU8/973ktXfrvXI9XryadH0uXLNOcOd+oSZMm6t6juw4cOKDjx49fc59z//xucxsaXbNmjWzfd+nygJKTk9Wv/4BsC5307tUrx755Pd4uXTpryZKlevPNt7K2OTg4yN3dPUfb6OhoLVq8WIsWL5azs7NWLF+q0WNGa/6ChVk9bFPT0q77fMhv0C5JGzduUu8+ffPd/r8uXMh7AvncXOkl+fG0qerUsWOO27t26aJTp07nWFRq7Jjrh57bt2/Xn1u3avizz2RbrOlazoWEqHq1ajm2V8tlW459z4Wofv16MplM2X7etWrV+ufY2f+uq1evnuMYNWrU0Llzme08PDzUpk0bffjhR9nqz2sIPwAAyDTt40/Uo0d3DR/+TI7bOnS4T46OjnriiaeyjSRq1arVdY+b2UtylsaOHaPFeXQOyMv1XvcL8r6uoE6dPq3bbr1Vtra22aZy+q9zIefUpk1rubi4ZOt4UKtWzczbz+V+fSJldgqQJHd392wfAhdmr0oAKGnoPlLGff75l4qPj9dHH34g36uGMkuZn5AOGpS5Ut7vv2cuRjJkyKBsbYYNzQxCflu/vtDre/KJJ7J//+TjSklJ0eYtub8JsVgs+vnnNerc+YFce356e3sXWm0/r1mrtLQ0jR6V+zw5NzIkIjEhQZJyBG9Xelde3Zty0OCCr2L4+4YNioiI0PDhz6hlixb56h156dIlHTx4UD179sw2VLltmzY5fs7p6RZlZGRk+8Q3ICBAnTrlDNMSEhLkkUvImG6x5HisTz35hGxts3+GcvXPOCEhQSdPnZLDP8OWIyIi9OfWrRowIPd5kv77fEhISJQkebh75Gh3tUuXLmnz5i039HVlBe+CWLZsuU6cPKnRo5/PcduVHr7//XndemtTNWvWLF/HvjKX5ID+/fLVftPGTWrWrJkaNmyQtc3T01Pd89H7df3vv6t8+fJ6qNu/q1/b2NjoqSefUFxcXI55TDt16phtLqimTZuq2W236fcNGyXl/tglacjgwfl6LAAAlFWnT5/W8uUrNKD/AJUrl33Kk6xeeP95fXVzc8v1w+XczJg5S9HR0decAzs313vdL8j7uoL6+ac18vHx0ZNPPpFnm9/Xb5CtrW2ONkOHDJHFYsmqMzen/plGp0Xz5lnbnJyc1LPnozdcMwCUdPSQLONOnz6t4cNH6osvPtemjRu0dNlSHTt6THb29rq9WTN17dpFi5cskZQ51HnR4iUaOGCAPNw9tG37djVt2lS9e/XUmjVrs62wXRgSE5N0T7t7NG3aFO3d+7fubXePOtx3nz7+5NMcc6L81zuT3lWrVi31048/aN78+Tp+PFBenp66pdEtatO6jRre0ijPfQvi9OnT+uCDD/XSSy+qcuUArV37i+Li41WlcmV1eqCT5n0/X19+9VWBjnnq9GlFR0frsYEDFB8Xp4SERO3Zu1dBQUE6efKUXnv1Ffn7+ysuNladu3SWp8f1w7OrpaWladWqH/TUU08qLS0t2wIj1zLp3ff13bdztHLFci1ctEienp566skndPToMbm4/Du30Pr16/X0sKGaN+97rVi5Ur4+Pnriicd18tQpNWzQINsx9x84oDZtWmvo0CG6eOGizpw9o717/9Zvv/2mRx7pocuxl3X8eKBub9ZMbdq0zvF737jhd23btl379+9XdHS0GjdprK5dumj27DlZbV566RWtXLFcv69fp3nz5uv0mTPy8/NTs2a3qUKFCurQITMoPXTokNLS0vTs8Gfk5u6mlOQUbfnzT0VERBT4Z1zYLBaLPvnk01yHif/223p16dJZ38yaqd/Wr1eVypU1cOAAHT8emO33kpft27dr69ZtanXVIkx5+fyLL9SjR3ctXDBf33wzWwmJierXt49CQ0Lk7eV1zZ6m8+bN18AB/TV16mQ1btxIZ8+eVZcuXXTnnXfq1dcm5pjm4OTJU1q5Ypm+/fY72Ts4aPDgQYqMjNTnn38hSVkh5rPPPiNbOztduHBBd7dtqypVKufrsQAAUJZ9/MmneuSRHqpVq5aOHv13kcJNf/yh5ORkzZ0zW99/P08uLs7q16+fIiLC5e9f/rrHjY2N1axZ32hMPkZr/Nf1Xvel/L+vK6glS5fq0Z6P6I3XJ+rWpk21Y+dOOTs5qU2bNpo791v98uuv+nXdOm35809NGP+CKlcO0OHDR3R327bq1Kmjvp4x85pzd2/a9IfOnTunyZM/1BdffKl0i0V9evdSREQkvSQBlFkEktCv69bpvg4d9MzTT6vj/ffrsYEDlZKSoiNHjujNN9/SvPkLstqOHTtOZ06fVq9ePdWpU0eFhYXpk08/05QpUwu9LoslXf37D9R7707Sq6+8rLi4OE2ePEVTpk675n7h4eHq3OVBjR71vDo/8IAef+wxRUVF6fjx43pn0qRCrfGz6Z8r+MQJDR0yJGtFwdDQUP2x6Q/9uu7XAh8vLS1Nzz8/Wi++OF7vvfeu7Ozs9Pyo0Vq8eIkef+JJvf3WGxo5YriSk5O1Zs1azZ4zR+t/W1fg+1mydJmeeupJbdnypy5dupSvfTZu3Kihw57W+BfG6cUJ43X69GmNGj1WHTver1b/WR35zz+3avTosRo+4lm98fpEnT17Vu9MeleVAwJyBJJvvPGmPnj/fY1/YZycnJy0aPES7d37t1577XVZ0i3q0b27HBwc9Ndfu9S7T1/Nn5d98ZVZ38zW/R06qG3bNnJwcNC5c+f0/geZb/SuCAwM1AOdu2j06OfVq1dPeXl5KTwiQocOHtTU/zyXwsLCNGHCixoxYoQmf/ShbG1t9cijPbVtm/GBpJTZS/J/zz2XYzjyosWL5VfOTwMH9Nfdd7dVYGCgRj73P3Xt2jXb7+VaJk+ZolatluSrbWjoefXs1VtvvfmmRo4cocjISM2ZM1cJCQl6++1blJycnOe+SUlJeuTRXnr5pRfVs+ejcnV1VXDwiazn+NWWLl0mS4ZFQwYPko+Pj/7+e59efuW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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 13 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -576,31 +421,15 @@ "id": "830013a19d182393" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.199057040Z", - "start_time": "2026-05-20T13:46:47.126267144Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "df, crit_dropped = cleaning.drop_critical_nan(df)\n", "cplots.plot_critical_nan_drop(len(df), crit_dropped)" ], "id": "e45fe46413a646ec", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 14 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -609,17 +438,12 @@ "id": "b39f6df25c558469" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.250199841Z", - "start_time": "2026-05-20T13:46:47.200176039Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "report.record_critical_nan(crit_dropped)", "id": "733c651abc0ebbbf", "outputs": [], - "execution_count": 15 + "execution_count": null }, { "metadata": {}, @@ -639,12 +463,7 @@ "id": "9b0a83ef70bb75c3" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.322231655Z", - "start_time": "2026-05-20T13:46:47.253334839Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "comp_df, comp_crit_dropped = cleaning.drop_critical_comp_nan(comp_df)\n", @@ -652,26 +471,8 @@ "cplots.plot_critical_nan_drop(len(comp_df), comp_crit_dropped)" ], "id": "40cc84af73220af2", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Rows dropped (missing critical identifiers): 0\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 16 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -689,26 +490,12 @@ "id": "3e92a1c1d8fca68a" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.398899420Z", - "start_time": "2026-05-20T13:46:47.327345722Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = cleaning.parse_dates(df)", "id": "c55229e06c506acb", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dtype : datetime64[us]\n", - "Range : 2018-01-01 → 2025-12-01\n" - ] - } - ], - "execution_count": 17 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -729,25 +516,12 @@ "id": "7a1aa565b928341a" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.472519360Z", - "start_time": "2026-05-20T13:46:47.406180144Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = cleaning.convert_numerics(df)", "id": "4ba71bcb8fac2129", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "All 19 numeric columns successfully converted.\n" - ] - } - ], - "execution_count": 18 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -764,28 +538,12 @@ "id": "93d12a09b40fcdca" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.545156049Z", - "start_time": "2026-05-20T13:46:47.489737959Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = cleaning.cast_string_columns(df)", "id": "bff942e3e3107704", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dtypes after cast:\n", - "Service string\n", - "Departure station string\n", - "Arrival station string\n" - ] - } - ], - "execution_count": 19 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -803,27 +561,12 @@ "id": "1c4e6b130d4b0cfd" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.617670274Z", - "start_time": "2026-05-20T13:46:47.563909385Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = cleaning.normalize_labels(df)", "id": "cdf6ea1f4212f23", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unique Departure station: 64\n", - "Unique Arrival station: 63\n", - "Unique Service: 2\n" - ] - } - ], - "execution_count": 20 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -850,12 +593,7 @@ "id": "b167613b53bb3b24" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.688978552Z", - "start_time": "2026-05-20T13:46:47.633475479Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "comp_df = cleaning.convert_numerics(comp_df)\n", @@ -869,45 +607,8 @@ "print(comp_df[\"Nom_Gare\"].head(10).to_string())" ], "id": "4a1de4f760348f8e", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "All 1 numeric columns successfully converted.\n", - "Dtypes after cast:\n", - "Nom_Gare string\n", - "Trigramme string\n", - "Segment(s) DRG string\n", - "Id_Gare string\n", - "Code_UIC string\n", - "Position géographique string\n", - "Unique Nom_Gare: 2782\n", - "Dtypes after normalisation:\n", - "Nom_Gare string\n", - "Trigramme string\n", - "Segment(s) DRG string\n", - "Position géographique string\n", - "Code commune int64\n", - "Code_UIC string\n", - "Id_Gare string\n", - "dtype: object\n", - "\n", - "Sample of normalised station names:\n", - "0 ABANCOURT\n", - "1 ABBARETZ\n", - "2 ABBEVILLE\n", - "3 ABLON-SUR-SEINE\n", - "4 ACHÈRES GRAND CORMIER\n", - "5 ACHÈRES VILLE\n", - "6 ACHIET-LE-GRAND\n", - "7 AÉROPORT CHARLES DE GAULLE 1\n", - "8 AÉROPORT CHARLES DE GAULLE 2 TGV\n", - "9 AGAY\n" - ] - } - ], - "execution_count": 21 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -928,12 +629,7 @@ "id": "2f13b3ebb1d4c485" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.860385656Z", - "start_time": "2026-05-20T13:46:47.709776645Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "cplots.plot_comp_segment_distribution(comp_df)\n", @@ -942,30 +638,8 @@ "print(seg.value_counts().to_string())" ], "id": "911b5169aed61783", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Station count by primary segment:\n", - "Segment(s) DRG\n", - "C 1568\n", - "B 1081\n", - "A 133\n" - ] - } - ], - "execution_count": 22 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -991,28 +665,15 @@ "id": "e74cf6873d1d529f" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:47.954682385Z", - "start_time": "2026-05-20T13:46:47.864041893Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "clusterer = cleaning.StationClusterer()\n", "df, station_cols, cluster_stats = clusterer.fit_transform(df)" ], "id": "f7884ada829740c1", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Station-like columns detected: ['Departure station', 'Arrival station']\n" - ] - } - ], - "execution_count": 23 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1029,60 +690,12 @@ "id": "daa6589124fbce1d" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.009171335Z", - "start_time": "2026-05-20T13:46:47.957527354Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "clusterer.print_merges()", "id": "96a2ee882234f01e", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "ANGERS SAINT LAUD\n", - " 'ANGERS SAINT LAUD'\n", - " ↳ 'ANGERS ST LAUD'\n", - "\n", - "BORDEAUX SAINT JEAN\n", - " 'BORDEAUX SAINT JEAN'\n", - " ↳ 'BORDEAUX ST JEAN'\n", - "\n", - "MARSEILLE SAINT CHARLES\n", - " 'MARSEILLE SAINT CHARLES'\n", - " ↳ 'MARSEILLE ST CHARLES'\n", - "\n", - "NANCY\n", - " ↳ 'ANNECY'\n", - " 'NANCY'\n", - "\n", - "NANTES\n", - " 'NANTES'\n", - " ↳ 'VANNES'\n", - "\n", - "PARIS LYON\n", - " 'PARIS LYON'\n", - " ↳ 'PARIS NORD'\n", - "\n", - "REIMS\n", - " ↳ 'NIMES'\n", - " 'REIMS'\n", - "\n", - "SAINT ETIENNE CHATEAUCREUX\n", - " 'SAINT ETIENNE CHATEAUCREUX'\n", - " ↳ 'ST ETIENNE CHATEAUCREUX'\n", - "\n", - "SAINT MALO\n", - " 'SAINT MALO'\n", - " ↳ 'ST MALO'\n" - ] - } - ], - "execution_count": 24 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1091,12 +704,7 @@ "id": "8d5896062a5c0a28" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.096227967Z", - "start_time": "2026-05-20T13:46:48.025187566Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "report.record_station_clustering(cluster_stats, station_cols)\n", @@ -1106,43 +714,16 @@ "print(f\"Threshold used : {cluster_stats['threshold']}\")" ], "id": "c9e176c55f38bf2e", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Clusters total : 55\n", - "Clusters merged : 4\n", - "Variants merged : 4\n", - "Threshold used : 80\n" - ] - } - ], - "execution_count": 25 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.268007914Z", - "start_time": "2026-05-20T13:46:48.101597950Z" - } - }, + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, "cell_type": "code", "source": "cplots.plot_station_clustering(cluster_stats[\"merged\"], cluster_stats[\"total\"], clusterer.clusters)", "id": "d520f6d41a85d934", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 26 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1165,12 +746,7 @@ "id": "972ef0b5a2609d3d" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.491221160Z", - "start_time": "2026-05-20T13:46:48.269166310Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "comp_clusterer = cleaning.StationClusterer(\n", @@ -1192,30 +768,8 @@ ")" ], "id": "42b54d5921db913e", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Station-like columns detected: []\n", - "Clusters total : 0\n", - "Clusters merged : 0\n", - "Variants merged : 0\n", - "Threshold used : 80\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 27 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1243,26 +797,12 @@ "id": "7b64161b86f6687" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.521165050Z", - "start_time": "2026-05-20T13:46:48.492303321Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, dep_late, dep_all = cleaning.recover_departure_delay(df)", "id": "d261e05cb430a23a", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dep_late filled from dep_all : 322 row(s)\n", - "dep_all filled from dep_late : 329 row(s)\n" - ] - } - ], - "execution_count": 28 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1271,25 +811,12 @@ "id": "1d7c1287c1b0ee3a" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.597145403Z", - "start_time": "2026-05-20T13:46:48.527408991Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "print(f\"dep_late={dep_late}, dep_all={dep_all}\")", "id": "d5314670392f9ec5", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dep_late=322, dep_all=329\n" - ] - } - ], - "execution_count": 29 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1313,26 +840,12 @@ "id": "a9537e0637736723" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.670741861Z", - "start_time": "2026-05-20T13:46:48.598774413Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, arr_late, arr_all = cleaning.recover_arrival_delay(df)", "id": "975160971c6b0ee8", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "arr_late filled from arr_all : 310 row(s)\n", - "arr_all filled from arr_late : 322 row(s)\n" - ] - } - ], - "execution_count": 30 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1341,28 +854,15 @@ "id": "aec1a2a79351198" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.742749627Z", - "start_time": "2026-05-20T13:46:48.672776512Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "report.record_delay_recovery(dep_late, dep_all, arr_late, arr_all)\n", "print(f\"arr_late={arr_late}, arr_all={arr_all}\")" ], "id": "c85adb8bbcc32ff4", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "arr_late=310, arr_all=322\n" - ] - } - ], - "execution_count": 31 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1381,12 +881,7 @@ "id": "f27a3ef6424f4893" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.827031044Z", - "start_time": "2026-05-20T13:46:48.745154047Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "remaining = df.isnull().sum()\n", @@ -1398,35 +893,8 @@ " print(\"No remaining NaN.\")" ], "id": "17df117e78a2737e", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Columns with remaining NaN (left as null intentionally):\n", - "Average journey time 349\n", - "Number of scheduled trains 25\n", - "Number of cancelled trains 247\n", - "Number of trains delayed at departure 248\n", - "Average delay of late trains at departure 15\n", - "Average delay of all trains at departure 17\n", - "Number of trains delayed at arrival 254\n", - "Average delay of late trains at arrival 25\n", - "Average delay of all trains at arrival 17\n", - "Number of trains delayed > 15min 244\n", - "Average delay of trains > 15min (if competing with flights) 313\n", - "Number of trains delayed > 30min 243\n", - "Number of trains delayed > 60min 255\n", - "Pct delay due to external causes 337\n", - "Pct delay due to infrastructure 317\n", - "Pct delay due to traffic management 340\n", - "Pct delay due to rolling stock 324\n", - "Pct delay due to station management and equipment reuse 348\n", - "Pct delay due to passenger handling (crowding, disabled persons, connections) 326\n" - ] - } - ], - "execution_count": 32 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1435,35 +903,15 @@ "id": "360dba3b3207dbc1" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.896464438Z", - "start_time": "2026-05-20T13:46:48.828925044Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "report.record_recovery_summary(df)", "id": "f8f1c112693c3ffd", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Nulls post recovery : 4244\n", - "Recovered algebraic : 1283\n", - "Algebraic coverage : 3.3% of initial nulls\n" - ] - } - ], - "execution_count": 33 + "outputs": [], + "execution_count": null }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:48.986363187Z", - "start_time": "2026-05-20T13:46:48.897586644Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "cplots.plot_algebraic_recovery(\n", @@ -1472,19 +920,8 @@ ")" ], "id": "7ccdbe99e1474c91", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 34 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1499,12 +936,7 @@ "id": "bc62a72341ea56e2" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.054748985Z", - "start_time": "2026-05-20T13:46:48.988121050Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "print(f\"Original : {original_file.shape[0]} rows, {original_file.shape[1]} columns\")\n", @@ -1512,18 +944,8 @@ "print(f\"Removed : {original_file.shape[0] - df.shape[0]} rows, {original_file.shape[1] - df.shape[1]} columns\")" ], "id": "286820ce67fdb1af", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Original : 12070 rows, 26 columns\n", - "Cleaned : 11260 rows, 23 columns\n", - "Removed : 810 rows, 3 columns\n" - ] - } - ], - "execution_count": 35 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1532,12 +954,7 @@ "id": "f2446aa8ae3bd27b" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.125588582Z", - "start_time": "2026-05-20T13:46:49.056157066Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "report.record_pipeline_summary(\n", @@ -1560,45 +977,16 @@ " print(f\"{step:<35} {n:>8,} {n / original_file.shape[0]:>8.1%}\")" ], "id": "ecaab0a101968c8d", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Step Rows Retained\n", - "────────────────────────────────────────────────────────\n", - "Raw dataset 12,070 100.0%\n", - "After deduplication 11,896 98.6%\n", - "After critical NaN drop 11,260 93.3%\n", - "Final (cleaned) 11,260 93.3%\n" - ] - } - ], - "execution_count": 36 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.245691449Z", - "start_time": "2026-05-20T13:46:49.132837344Z" - } - }, + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, "cell_type": "code", "source": "cplots.plot_retention_funnel(steps, original_file.shape[0])", "id": "c36768e67ec2121d", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 37 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1618,12 +1006,7 @@ "id": "5145603995987e01" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.353085457Z", - "start_time": "2026-05-20T13:46:49.247395741Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "print(f\"Original : {comp_original.shape[0]} rows, {comp_original.shape[1]} columns\")\n", @@ -1653,38 +1036,8 @@ "cplots.plot_retention_funnel(comp_steps, comp_original.shape[0])" ], "id": "e43abb9d043e5422", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Original : 2782 rows, 7 columns\n", - "Cleaned : 2782 rows, 7 columns\n", - "Removed : 0 rows\n", - "\n", - "Remaining null values per column:\n", - " None — dataset is complete.\n", - "\n", - "Step Rows Retained\n", - "──────────────────────────────────────────────────────────────\n", - "Raw dataset 2,782 100.0%\n", - "After deduplication 2,782 100.0%\n", - "After critical NaN drop 2,782 100.0%\n", - "Final (cleaned) 2,782 100.0%\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 38 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1701,26 +1054,12 @@ "id": "41151e1457536ee5" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.428206707Z", - "start_time": "2026-05-20T13:46:49.354887990Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = features.add_time_features(df)", "id": "6ae180a6d1301b3c", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Years : [2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025]\n", - "Months : [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n" - ] - } - ], - "execution_count": 39 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1742,30 +1081,12 @@ "id": "ca97299133e9d51a" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.500884826Z", - "start_time": "2026-05-20T13:46:49.430419619Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = features.add_season(df)", "id": "d016fa3d07753d55", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Season distribution:\n", - "season\n", - "summer 2832\n", - "autumn 2820\n", - "winter 2818\n", - "spring 2790\n" - ] - } - ], - "execution_count": 40 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1788,31 +1109,12 @@ "id": "304acec63f507fe5" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.576701927Z", - "start_time": "2026-05-20T13:46:49.510017469Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = features.add_delay_category(df)", "id": "ce74bedee1dccf35", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Delay category distribution:\n", - "delay_category\n", - "early 217\n", - "on_time 4954\n", - "slight 5684\n", - "moderate 373\n", - "severe 15\n" - ] - } - ], - "execution_count": 41 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1832,25 +1134,12 @@ "id": "e7e5ca863c524917" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.647971318Z", - "start_time": "2026-05-20T13:46:49.577837570Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = features.add_cancellation_rate(df)", "id": "28cec55abc083c17", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cancellation_rate — min: 0.0000 mean: 0.0385 max: 0.9268\n" - ] - } - ], - "execution_count": 42 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1871,25 +1160,12 @@ "id": "58bc401463d7dc40" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.716866879Z", - "start_time": "2026-05-20T13:46:49.649171709Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = features.add_punctuality_rate(df)", "id": "b0b0f95e9c0e3105", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "punctuality_rate — min: 0.0000 mean: 0.8611 max: 1.0000\n" - ] - } - ], - "execution_count": 43 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1909,26 +1185,12 @@ "id": "3d77e8ee249dc191" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.788115504Z", - "start_time": "2026-05-20T13:46:49.717999313Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, neg_fixed = cleaning.fix_negative_counts(df)", "id": "cee40176af157e13", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[FIXED] Number of trains delayed > 30min: 41 negative value(s) → route median\n", - "Total: 41 fix(es)\n" - ] - } - ], - "execution_count": 44 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1937,25 +1199,12 @@ "id": "f5b34b6830532a91" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.855030454Z", - "start_time": "2026-05-20T13:46:49.789935101Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "print(f\"neg_fixed={neg_fixed}\")", "id": "360c60003a2d222c", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "neg_fixed=41\n" - ] - } - ], - "execution_count": 45 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1970,27 +1219,12 @@ "id": "5ecb6e973feae0b5" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:49.982084508Z", - "start_time": "2026-05-20T13:46:49.862012462Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, overflow_fixed = cleaning.fix_count_overflow(df)", "id": "8c2114153fa3d5ac", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[FIXED] Number of cancelled trains: 54 value(s) exceeded scheduled → route median\n", - "[FIXED] Number of trains delayed at departure: 15 value(s) exceeded scheduled → route median\n", - "Total: 69 fix(es)\n" - ] - } - ], - "execution_count": 46 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -1999,25 +1233,12 @@ "id": "dc4abf681e83f5b2" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.056892344Z", - "start_time": "2026-05-20T13:46:49.985766414Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "print(f\"overflow_fixed={overflow_fixed}\")", "id": "fb766e9630ac3c51", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "overflow_fixed=69\n" - ] - } - ], - "execution_count": 47 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2036,27 +1257,12 @@ "id": "a872f024a98adb21" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.173166625Z", - "start_time": "2026-05-20T13:46:50.058153663Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df, hier_fixed = cleaning.fix_delay_hierarchy(df)", "id": "a775ccb8bc7cd686", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[FIXED] Number of trains delayed > 30min > Number of trains delayed > 15min: 3 row(s)\n", - "[FIXED] Number of trains delayed > 60min > Number of trains delayed > 30min: 311 row(s)\n", - "Total: 314 fix(es)\n" - ] - } - ], - "execution_count": 48 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2065,17 +1271,12 @@ "id": "e2740e718382e83b" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.225576243Z", - "start_time": "2026-05-20T13:46:50.176182412Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "report.record_corrections(neg_fixed, overflow_fixed, hier_fixed)", "id": "5498bd3ca90056e0", "outputs": [], - "execution_count": 49 + "execution_count": null }, { "metadata": {}, @@ -2090,50 +1291,20 @@ "id": "2517ea48befad722" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.295139103Z", - "start_time": "2026-05-20T13:46:50.226842591Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "df = cleaning.recompute_rates(df)", "id": "47b3739dad953e0a", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cancellation_rate — min: 0.0000 mean: 0.0385 max: 0.9268\n", - "punctuality_rate — min: 0.0000 mean: 0.8611 max: 1.0000\n" - ] - } - ], - "execution_count": 50 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.412365514Z", - "start_time": "2026-05-20T13:46:50.301689998Z" - } - }, + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, "cell_type": "code", "source": "cplots.plot_corrections(neg_fixed, overflow_fixed, hier_fixed)", "id": "e06334d8efcd4898", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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Txnr48KGOHTtm8rIsLd++tvzyywI5u7hE2OfmrVvmlAsgAgQLAHFKtmzZdPLk74bHtra2sre316HDb8cF3L3rK0nKkSO70ekviRMnVubMmXXs+HGj5Xl4eMjDw0OzZ89RsWJFtWP7NrVt21ZTp06T9PaD9PHjJ3T8+AmNHSv17t1LQ4cMVtmyZXTsmPGy/snKykpZsnyhGzf+/81p9uzZJUk+PhEPSH7y5ImeP38uK0ur9y77fXx8fHT27Dk1aFBfy5YtV53atbV3337DOeSSVLdubb1+/Vqtv21j1N6yRYsPLv+vv/6S9PbqQ//8ZvrfV3C6dfv22216/CRK23L79m39+utC/frrQmXLllUH9u9T9+7d1PuHiK+k9e5oUJ684a/0886TJ0/04sUL5ciRI9y0nDlz6s2bN2Z9+L91+7by5cv3we27feu2rKyslDt3Ll25cjXSfpF9+L59+7aSJbP94Hru+t5VuXJlZWtra3TUIqLtf58P7WOm/m5NEabIA0hoaKictm1Xi+bNNdFxkmrVrKk1a9dFGPCzZcsWri179uyGcRvv/n6CQ0KifRsARI4xFgDilDbffqtEif7/nUf7dm2VOHFiHTnsLOntwO/Xr1+rc6dORvN9800rpUqVSocOvv1wlDx5cllZWRn1cXf30Js3b5Tk70uFpk6dOtz6r/z9DXpElxP9t44dOhg/7theQUFB4cLNO6Ghodq9e4/q1Kkd4aUxP/vssw+uU3p7dahiRYuqVauWSps2rXbs2GE0/c2bUIWFhRkdZXBwcFCtWjU/uOx3HypL/X1ev/T2vgTNmzcz6ufs7KJnz56pd+9eRr+vf2+LTdKkSpIkifE6bt1WQECArJNE/hw/ffpUv//+h1q1bKlMGTNG2Cc0NFQuLkdVo0Z1o+CTLl06NW7UUKdPn1FAQMAHtjhyO3fuUsYMGfTtt63DTUuaNKnhfg179+3Tmzdv1LdPn/eO1Xnx8kWEl4bduXOXihUrpooVK4abljJlSsPf8eFDR5Q4cWK1b9fWMN3S0lKdOnY0abs+tI9F9Xf7Md4Fosgukbtl8xalSZNaU6ZMUvLkybU1gtOgJKlWrZpGYyQKFSqkokWK6PCRt9vw5MkTnTh5Um3afCt7e/to3QYAkeOIBYA4JXHixNq4Yb127typHDlyqH37djp16rT27d8v6e0Hznnz5qt//35au2a19u8/oBw5sqt9+3Y6d+68tmx9+0GkXNmymjBxvHbt+k03btxQIisrNW3aVG/evNFvu99eJapv3x9VqmRJHTx0WL537yptunRq376d7t27p9Onz0Rao/R2PEmlypU0a9YMnTt3XlUqV1L1atU0e87ccONM/mmi4ySVKVNav+3aoTVr18rT00tpUqfWV19/pfLlyiv/V19/8DnauXOnRo0coVEjR+jpn3+G+0b20KFD+q57N61Zs1pO27YpXdq06tChvW7euqX8+fK9d9kuLkd19+5dTZ8+Tb/8skBvQkPVqmULPXny1OjDe0BAgIYOHa45c2Zp39492r5jh548eaJMmTKpWtUqOnPGVcNHjFT2HNm1YcN67dy5S16engp580a1a9WSvb290eVxIzJy1Chtc9qqffv2aPWatbpz544yZ86salWrqHqNWpKkKVOnqUKF8tq2batWrFipNyEhatOmjaytrTVh4sQPPpfvs3nzFtWvX09TJk9S2TJldObMGVlaWSlnzpyqX7+eWrduo4sXL+rWrVuaM2eu+vbto21OW7R7z14FvX6tgoUK6uGDh4arJV26eEnt2rXVjz/+oFs3b+nxk8c6ceKkfvllgWrUqK6VK5Zp48ZNunjpkmxtbZU3b17Vq1tHJUuW1tM//9T+Awd0+vRpDRs2VJkzZ5anp5dq16mlFClTfGBLjH1oH4vq7/ZjXLx4SZI0ePAgbd++QyHBIdp/4IBhcPblK1fk7u6hBvXry9PTU5cuX45wOTdv3tI2py1auXKVrJMkUZcunfX06VP9/PP/TycbNmyEtjlt1eFDB7RmzVrdvnNHdnZ2Klq0iDJkyKDq1T8ctAGYhmABIE4ZPmKkmjRppAEDBihx4kTatm274ZKu70yfMVNPnjxVx47tNWbMKPn7+2v1mrWaPHmK4fzvK1evysXZRdWrVVP69On18tVLXb16VW3attPZs+ckSfv3H1Bmh8xq1bKlPvssjZ4+/VN//PGHfpo+3TDAOzKhoW/07bdtNXmSo0aOGK6AgABNnz5DM2bOeu98jx8/Vp269dWvbx/VqV1b7du1059//ilPT09NdHSM0nN0//4Dubq6qkSJElqzZm24c95PnDipfv0GqGevHho7ZrR8fHw00XGSMjs4fDBYhISEqHPnrnKcNFEDBw6Qn5+fFi1eor/++kuzZs4w6uu0bZsePHygXj176vvvusvaOokePHig06dPa/3fV1i6d++etm/brnLlyqpZ0yYKCQnRdW9vdev+XbhLiP7b1avuqle/oQYNHKB2bdsoSZKk8vW9q507dxn6eHp6qnHjpho6dIh69+opS0tLnT13Tr1/+CHcPSxMFRYWpk6duqhb1y5q1qyZatWqqZcvX+nOnTtasniJYbC+JE37abru3PFRp04dNHjQQL18+Uru7u7a8o9v3GfMnKVMDpnU4/vvlCJFCp08+btOnDipl69eqUnT5vrhh96qV6+umjVrqoCAAN24cUM/TZ+hZ3//LYaFhalDx84aO3a0mjRprLCwMO0/cEDjxo3Xgf0R31wuIlHZx6Lyu/0YFy5c0JSp09S2bRtVrlRJVlZWKlGytNGlZzdv3qyRI0dEOGj7/322KDQsVF27dFbatGl1/vwFDR8xQo8ePTL08fLyUu06ddWvXx+1aNFcadKk0eMnT3Tl8mXN/MB+CuDjWGTI6GD+iCsAMFOLFs01a+YM1apdVxcvRnx1HAAfL77sY507d9LYMaNVsmTpcJcadnBw0OlTv4e7LwqAuIExFgAAIM74plUr/f7HH5HevwRA3MWpUAAAIFbZ2NioZo0aKlOmtPLl+1IdOnT68EwA4hyCBQAAiFVp06bVzz/Pk7+/v2bPmav9Bw7EdkkAPgJjLAAAAACYjTEWAAAAAMxGsAAAAABgNsZY/O3zzz9XYGBgbJcBAAAAxCnJkiXTw4cPP9iPYKG3oeLcWdfYLgMAAACIkwoXKfbBcEGwkAxHKgoXKcZRCwAAAOBvyZIl07mzrlH6jEyw+IfAwEAFBATEdhkAAABAvMPgbQAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAErB27drq4IH9uuZxVdc8rmrHjm2qXLmSYfq337bW5k0bdc3jqu75+ihlypSRLsva2loH9u/VPV8f5c+fL8ZrR9xCsAAAAEjA7t+/L8dJk1Srdh3VrlNXJ06c1LKlS5Q7d25Jko2NjZydnTV37rwPLmvE8GF68OD9d2fGfxc3yAMAAEjADhw4aPR4ypSpate2rYoWKSxPT08tXrxEklS6dKn3Lqdy5UqqWLGCunTtrqpVq8RQtYjLCBYAAACQJFlaWqp+vXqytbWRq9vZKM+XLl06TZs2VZ06ddHLly9jsELEZQQLAACABC5v3rzauWObkiRJosDAQHXu0lVeXl5Rnn/WzBlatWq1Ll68KAcHhxisFHEZYywAAAASOG9vb1WvUUt16zXQypWrNHvWTOXKlStK83bu1FHJkyeL0hgM/LdxxAIAACCBCw4O1q1btyRJly5dUqFCBdWlSycNHjz0g/OWLVtWRYsW1a2b3kbte3b/pq1OTurTp19MlIw4iGABAAAAIxaWlrK2ThKlviNHjtKUqdMMj9N//rnWrVuj777voXPnzsVUiYiDCBYAAAAJ2NAhg3X4iLN8fX2VPHlyNW7UUGVKl1br1m0kSXZ2drK3t1O2rFklvR2PERgYIF/fe/L395fvvXtGywsMDJQk3b59W/fvP/ik24LYRbAAAABIwNKlS6c5s2fK3t5ez58/l7u7u1q3bqOjx45Jktq1baP+/f9/OtM2py2SpD59+2njxk2xUjPiJosMGR3CYruI2JY8eXJ5XnNX7jxfKiAgILbLAQAAAOIEUz4nc1UoAAAAAGbjVCgAABBvZW5yKLZLAGKcz9aqsV1ClHDEAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzxWqwaNeurQ4e2K9rHld1zeOqduzYpsqVKxmmJ0mSRI4TJ+jy5Yvy8vTQooW/Kl26dEbLyJQxo1auXC7v6566eOGcRo4YLisrq0+6HQAAAEBCF6vB4v79+3KcNEm1atdR7Tp1deLESS1bukS5c+eWJI0ZM1rVq1dT9+7fqUnT5vo8/edasnihYX5LS0utXLlC1okTq0HDRvqxT1+1aNFcAwcOiK1NAgAAABKkWA0WBw4c1OHDR3Tz5i3duHFTU6ZMVWDgCxUtUlgpUqTQN61aaszYcTpx4qQuXbqkfn37q3jx4ipSpLAkqWLFCsqdO5d69f5RV65c1ZEjzpo67Sd1aN9OiRMnjs1NAwAAABKUODPGwtLSUg0bNJCtrY1c3c6qQIGvZW1trWPHjhv6XPf21t27d1W0aFFJUrGiReXh4aHHjx8b+jg7uyhlypTK8/dRDwAAAAAxL1FsF5A3b17t3LFNSZIkUWBgoDp36SovLy99lT+/Xr9+rWfPnhn19/N7LHs7O0mSnZ2d/PweG01/7Of3dpq9nXQl4nVaW1vL2tra8DhZsmTRuEUAAABAwhPrwcLb21vVa9RSihQpVK9uHc2eNVNNmjaP0XX27tVT/fv3i9F1AAAAAAlJrAeL4OBg3bp1S5J06dIlFSpUUF26dNKOHTuVJEkSpUyZ0uiohZ1dOj36+6iEn5+fChcuZLS8dH8fzfB75BfpOufOm69fFy4yPE6WLJnOnXWNpi0CAAAAEp44M8biHQtLS1lbJ9HFi5cUFBSkcuXKGqblyJFdDg4OcnNzkyS5urkpb968Sps2raFPhQrl9ezZM3l6eUW6jqCgIAUEBBh+AgMDY26DAAAAgAQgVo9YDB0yWIePOMvX11fJkydX40YNVaZ0abVu3UbPnz/XuvUbNGb0KPn7++v58wBNnDBOrq6uOnv2nCTJxeWoPD29NHfObE2YOFF2dvYaPGiglq9YqaCgoNjcNAAAACBBidVgkS5dOs2ZPVP29vZ6/vy53N3d1bp1Gx09dkySNGbMWIWFhmrRwoVKksRazs4uGjpsuGH+0NBQtWvfQZMnOWrnju168eKFNm3arGnTfoqtTQIAAAASJIsMGR3CYruI2JY8eXJ5XnNX7jxfKiAgILbLAQAAUZS5yaHYLgGIcT5bq8bauk35nBznxlgAAAAAiH8IFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmC1Wg0WvXj21+7dd8rzmrosXzmnpksXKkSO7UZ/Nmzbqnq+P0c/kyY5GfTJlzKiVK5fL+7qnLl44p5EjhsvKyupTbgoAAACQoCWKzZWXLlVKy1es0PnzF5QokZWGDBmsdWvXqGKlKnr58qWh3+rVazTtp+mGx/+cZmlpqZUrV8jP75EaNGwke3t7zZk9S8EhIZo8econ3R4AAAAgoYrVYPFtm7ZGj/v06afLly6oQIECOnXqlKH95auX8vPzi3AZFStWUO7cudSy1Td6/Pixrly5qqnTftLwYUM1ffoMBQcHx+g2AAAAAIhjYyxSpkwpSfL39zdqb9K4sS5fuqDDhw5q6JDBskma1DCtWNGi8vDw0OPHjw1tzs4uSpkypfLkzv1J6gYAAAASulg9YvFPFhYWGjt2tE6fPq1r164Z2p22bdPdu756+PChvvwyr4YPH6YcOXKoS9dukiQ7Ozv5+T02Wtbjv49u2NnbSVfCr8va2lrW1taGx8mSJYuBLQIAAAASjjgTLBwdJypvnjxq1LiJUfuaNWsN//fw8NCjR4+0aeMGZcmSRbdv3/6odfXu1VP9+/czq14AAAAA/xcnToWaOGG8qlerqmbNW+r+/Qfv7Xv27DlJUtasWSVJfn5+srNLZ9QnnZ3d22mPIh6XMXfefOXO86Xhp3CRYmZuAQAAAJCwxXqwmDhhvGrVqqXmLVrKx8fng/2/yp9fkvTo0UNJkqubm/Lmzau0adMa+lSoUF7Pnj2Tp5dXhMsICgpSQECA4ScwMDAatgQAAABIuGL1VChHx4lq3KihOnbqooCAQNn9faTh+fPnevXqlbJkyaLGjRvp0KHD+vPPP5Xvyy81Zsxo/f77H3J395Akubgclaenl+bOma0JEyfKzs5egwcN1PIVKxUUFBSbmwcAAAAkGLEaLDq0bydJ2rplk1F7n779tHHjJgUHB6l8uXLq0qWzbG1sdO/+fe3evVuzZs8x9A0NDVW79h00eZKjdu7YrhcvXmjTps2aNu2nT7otAAAAQEIWq8EiY6bM751+7959NW3W/IPL8fX1Vdt27aOrLAAAAAAmivUxFgAAAADiP4IFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYzexgkTx5ctWqWVM5c+aMjnoAAAAAxEMmB4sFC35Wxw7tJUlJkybVnj2/acGCn3Xo4H7VqVM72gsEAAAAEPeZHCxKlSypU6dPS5Jq16olCwsLffllfo0cNVp9fvwh2gsEAAAAEPeZHCxSpEgpf39/SVKlyhW1+7fdevnqlQ4dPKRs2bJFd30AAAAA4gGTg8W9+/dUtGhR2djYqHKlSnI5elSSlCp1Kr1+/TraCwQAAAAQ9yUydYbFi5do3tw5CgwMlK+vr06e/F3S21Ok3D08or1AAAAAAHGfycFixYqVOnfuvDJmzKijR48qLCxMknT7zh1NnTIt2gsEAAAAEPeZHCwk6eLFi7p48aJR26FDh6OlIAAAAADxj8nBwtLSUi1bNFe5cuWULl1aWVgaD9No0aJVtBUHAAAAIH4wOViMHzdWLVo016FDh+Vx7Zr+PhMKAAAAQAJmcrBo2LCBun/3vQ4fPhIT9QAAAACIh0y+3GxQULBu3boVA6UAAAAAiK9MDha/LlyoLp07x0QtAAAAAOIpk0+FKlG8uMqUKa3KlSvJ09NTwcEhRtO7dO0WTaUBAAAAiC9MDhbPnj3T3r37YqIWAAAAAPGUycGib7/+MVEHAAAAgHjso26QJ0mfffaZcubIIUm67u2tp0+fRltRAAAAAOIXk4OFjY2NJk4Yr2bNmsry75vjvXnzRps3b9GIESP18tWraC8SAAAAQNxm8lWhxowZpVKlSql9h47K+2V+5f0yvzp26qxSpUpp1OhRMVEjAAAAgDjO5GBRt04d9R8wQEeOOCsgIEABAQE6fPiIBg4apHp168REjQAAAADiOJODhY2Njfz8Hodrf/z4iWxsbKKlKAAAAADxi8nBwtXNTQMG9FOSJEkMbUmTJlW/fn3k5uYWrcUBAAAAiB9MHrw9atQYrV2zWm6up3Xl6lVJUv58+fTq9Wu1bt0m2gsEAAAAEPeZHCyuXbumcuXKq3GTxsqZM6ckafu27drqtE2vuCIUAAAAkCB91H0sXr56pbVr10V3LQAAAADiqSgFixrVq+vwkSMKCQlRjerV39t3/4ED0VIYAAAAgPgjSsFi6dLFKlioiJ48eaKlSxdH2i8sLEyZv8gaXbUBAAAAiCeiFCwcMmeJ8P/m6tWrp+rUrq2cOXPo1atXcnV100RHR3l73zD0SZIkiUaPGqkGDRsoibW1nJ1dNHTYcD1+/P9L3mbKmFGTJjuqbJkyCgwM1KZNm+U4abLevHkTbbUCAAAAiJzJl5tt1qyprK2tw7UnTpxYzZo1NWlZpUuV0vIVK1SvfkO1+qa1EiVOpHVr1xjdD2PMmNGqXr2aunf/Tk2aNtfn6T/XksUL/78BlpZauXKFrBMnVoOGjfRjn75q0aK5Bg4cYOqmAQAAAPhIFhkyOoSZMoPPnVsqVLionjx5YtSeJk1qXbxw3qxToT777DNdvnRBjZs006lTp5QiRQpdunhePXv11m+/7ZYk5cyRQ0ePOqte/QY6e/acKleupJUrlqtwkWKGoxht27bR8GFD9XWBQgoODv7gepMnTy7Pa+7KnedLBQQEfHT9AADg08rc5FBslwDEOJ+tVWNt3aZ8Tjb5iIWFhYXCwsJnkQwZMujZs+emLs5IypQpJUn+/v6SpAIFvpa1tbWOHTtu6HPd21t3795V0aJFJUnFihaVh4eH0alRzs4uSpkypfLkzh3heqytrZU8eXLDT7JkycyqGwAAAEjoony52f379igsLExhYWHauGG93rwJMUyztLLSF5kz64iz80cXYmFhobFjR+v06dO6du2aJMnezl6vX7/Ws2fPjPr6+T2WvZ2dJMnOzk5+fo+Npj/283s7zd5OuhJ+Xb179VT//v0+ulYAAAAAxqIcLPbu3SdJyp8/v1xcXBQYGGiYFhQcrLs+d/Xb7t0fXYij40TlzZNHjRo3+ehlRNXcefP168JFhsfJkiXTubOuMb5eAAAA4L8qysFixsxZkiSfu3e1ffsOBQUFRVsREyeMV/VqVdW4STPdv//A0P7I75GSJEmilClTGh21sLNLp0d/H5Xw8/NT4cKFjJaX7u+jGX6P/CJcX1BQULTWDwAAACR0Jo+x8PT0Uv78+cK1Fy5cSAUKFDC5gIkTxqtWrVpq3qKlfHx8jKZdvHhJQUFBKleurKEtR47scnBwkJubmyTJ1c1NefPmVdq0aQ19KlQor2fPnsnTy8vkegAAAACYzuRg4ThxgjJmzBiuPX369HKcOMG0ZTlOVJMmjdWzV28FBATKzs5OdnZ2Spo0qSTp+fPnWrd+g8aMHqUyZUrr66+/1swZ0+Xq6qqzZ89JklxcjsrT00tz58xWvnxfqmLFiho8aKCWr1jJUQkAAADgE4nyqVDv5M6dS5cuXQ7XfvnyFeXOncukZXVo306StHXLJqP2Pn37aePGt21jxoxVWGioFi1cqCRJ/n+DvHdCQ0PVrn0HTZ7kqJ07tuvFixfatGmzpk37ydRNAwAAAPCRTA4Wr4OCZGeXTnfu3DFq//xze4WEhEQyV8QyZsr84fW9fq1hw0do2PARkfbx9fVV23btTVo3AAAAgOhj8qlQR12OauiQIUqRIoWhLWXKlBoyeLCOHjsWrcUBAAAAiB9MPmIxbvwEbd2yWadP/a7LV97eJCJ/vnx6/Pixfvjxx2gvEAAAAEDcZ3KwePDggapWq64mTRorf758evXqlTZs2Kht27abfCoUAAAAgP8Gk4OFJL18+VJr1qyN7loAAAAAxFMmj7GQpKZNm2ib0xaddXNVpkyZJEldu3ZRzRo1orU4AAAAAPGDycGiXbu2GjN6lA4fcVaqVKlkZWUlSfrrr7/UpWvnaC8QAAAAQNxncrDo1LGDBg4crDlz5urNm/+Pqbhw4aK+zJs3WosDAAAAED+YHCwyZ/5Cly6Hv0FeUNBr2djYRktRAAAAAOIXk4OFj88dfZU/f7j2ypUq6fp1r2gpCgAAAED8YvJVoRYuXKSJjhOUJGkSWVhYqHChQmrUqKF69+qpAQMGxUSNAAAAAOI4k4PF2nXr9fLVKw0aNFA2NjaaP3+uHjx8qFGjRmv7jh0xUSMAAACAOM6kYGFlZaXGjRvJ2dlFTk7bZJM0qWyTJdOTJ09iqj4AAAAA8YBJYyzevHmjKZMnKUmSJJKkl69eESoAAAAAmD54+9y58/r6q69iohYAAAAA8ZTJYyxWrFypUaNGKkOG9Lp46ZJevHhhNN3d3SPaigMAAAAQP5gcLH75eb4kafz4cYa2sLAwWVhYKCwsTJm/yBptxQEAAACIH0wOFiVLlYmJOgAAAADEYyYFi0SJEmnTxg1q176Drl+/HlM1AQAAAIhnTBq8HRISYrgiFAAAAAC8Y/JVoZavWKGePXvIysoqJuoBAAAAEA+ZPMaiUMGCKleurCpWqCAPD49wV4Xq0rVbtBUHAAAAIH4wOVg8e/ZMu3fviYlaAAAAAMRTJgeLvv36x0QdAAAAAOIxk4PFO5999ply5sghSbru7a2nT59GW1EAAAAA4heTg4WNjY0mThivZs2aytLy7djvN2/eaPPmLRoxYqRevnoV7UUCAAAAiNtMvirUmDGjVKpUKbXv0FF5v8yvvF/mV8dOnVWqVCmNGj0qJmoEAAAAEMeZHCzq1qmj/gMG6MgRZwUEBCggIECHDx/RwEGDVK9unZioEQAAAEAcZ3KwsLGxkZ/f43Dtjx8/kY2NTbQUBQAAACB+MTlYuLq5acCAfkZ34E6aNKn69esjNze3aC0OAAAAQPxg8uDtUaPGaO2a1XJzPa0rV69KkvLny6dXr1+rdes20V4gAAAAgLjP5GBx7do1lStXXo2bNFbOnDklSdu3bddWp216xRWhAAAAgATpo+5j8fLVK61duy66awEAAAAQT5k8xqJXr55q1bJluPZWLVuqZ4/vo6UoAAAAAPGLycGibZtvdd37erj2a57X1LYtYywAAACAhMjkYGFnZ6eHDx+Fa3/y5Kns7e2jpSgAAAAA8YvJweLe/fsqXrxYuPbixYvp4cOH0VIUAAAAgPjF5MHba9es1bixY5Q4UWIdP3FCklS+XDmNGDFMC35dGO0FAgAAAIj7TA4WP/+yQGnSpJGj40RZWyeWJL1+/Vrz5/+sefPmR3uBAAAAAOK+j7rc7ETHSZo5a7Zy5cqlV69e6ebNmwoKCoru2gAAAADEEx8VLCTpxYsXunDhQnTWAgAAACCeMnnwNgAAAAD8G8ECAAAAgNkIFgAAAADMFqVgsW/vbqVKlUqS1LfPj7JJmjRGiwIAAAAQv0QpWOTMmUu2tjaSpH79+so2WbIYLQoAAABA/BKlq0JduXpFM2dM1+nTZ2RhYaHvv+uuwMDACPvOnDU7WgsEAAAAEPdFKVj07dtPA/r3V7Vq1RQWFqbKlSvrzZuQcP3CwsIIFgAAAEACFKVg4e19Q9/36ClJuutzWy1attKTJ09itDAAAAAA8YfJN8hzyJwlJuoAAAAAEI991J23s2TJoq5dOitXrpySJE9PLy1eslS3b9+O1uIAAAAAxA8m38eiYsWKcj5ySIUKFdJVdw9ddfdQ4cKFdeTwQVUoXz4magQAAAAQx5l8xGL4sCFatGixHCdNNmofNnSIhg8fqqO1jkVbcQAAAADiB5OPWOTMmVPr1q8P175+wwblypUrWooCAAAAEL+YHCyePn2q/Pnzh2vPnz+/yVeKKlmypFYsX6qzbq665+ujWjVrGk2fOXOG7vn6GP2sWb3KqE/q1Kk1b+4cXfO4KverlzX9p2mytbU1dbMAAAAAmMHkU6HWrFmrqVMmK8sXX+iMq5skqUTxYurR43stXLTYpGXZ2troylV3rVu/UUuXLIqwz+HDR9S3X3/D46CgIKPp8+bO0eef26vVN62VOFFizZg5XdOmTlHPXr1N3DIAAAAAH8vkYDFz1mwFBAaqe/duGjp0iCTpwcOHmj5jppYsWWrSso4ccdaRI87v7RMUFCQ/P78Ip+XMmVNVqlRWrdp1dfHiRUnSiBGjtHrVCo0bP0EPHz40qR4AAAAAH+ejLje7aNFiLVq0WMmSJZMkBQYGRmtR/1S6dCldvHBOf/31l46fOKmpU6fqzz/9JUnFihaVv7+/IVRI0rFjxxQaGqrChQtr7969ES7T2tpa1tbWhsfvtgMAAADAx/moYPFOTAYKSXI+4qw9u/fojo+PsmbJoiFDBmn1qlWq36ChQkNDZWdvF25cx5s3b+Tv7y97e7tIl9u7V0/1798vRmsHAAAAEhKzgkVM275jh+H/Hh4euururj9+P6EyZUrr+PETH73cufPm69eF/x/TkSxZMp0762pWrQAAAEBCZvJVoWLTnTt39OTJE2XNmlWS5PfIT2nTpjXqY2VlpdSpU+vRo4jHZUhvx20EBAQYfmL6yAsAAADwXxevgkWGDOmVJk0aPXr4SJLk6uam1KlT6+uvvzb0KVe2rCwtLXXu3LnYKhMAAABIcEwKFokSJdKGDeuULVvWaFm5ra2t8ufPp/z580mSMn+RWfnz51OmjBlla2urkSOGq0iRwnJwcFC5cmW1bOkS3bx1S84uLpKk69ev6/DhI/pp2hQVKlRIxYsV04SJ47V9+w6uCAUAAAB8QiaNsQgJCVG+L7+MtpUXLFhAWzZvMjweO2a0JGnDxk0aOnSYvvzySzVv3kwpU6bUw4cP5eJyVFOn/WR0L4tevX/QxAnjtXHDOoWGhmr37j0aMXJUtNUIAAAA4MNMHry9ZauTvmnVSo6TJpu98t9//0MZM2WOdHrrb9t8cBn+/v7cDA8AAACIZSYHi0RWVmrVrq3Kly+vi5cu6sWLl0bTx44dF23FAQAAAIgfTA4WefLm0aXLlyVJ2bNnN5oWFhYWPVUBAAAAiFdMDhbNm7eMiToAAAAAxGMffbnZrFmzqmLFikqaNGl01gMAAAAgHjI5WKRJk1obNqzT8WMuWr1qhezt7SVJM6b/pFGjRkZ7gQAAAADiPpODxZgxoxUSHKLiJUrq5cv/D9zevmOnKleqGK3FAQAAAIgfTB5jUbFCBbX+to3u339g1H7z5k05ODhEW2EAAAAA4g+Tj1jY2toaHal4J3Xq1Hr9jxvXAQAAAEg4TA4Wp06dVrNmzQyPw8LCZGFhoR49vtPJkyejtTgAAAAA8YPJp0JNmOiojRvWqWCBAkqcOLFGjBimPLlzK3Xq1GrYqElM1AgAAAAgjjP5iMW1a9dUrnxFnT5zRvv275etja1279mrGjVr6/bt2zFRIwAAAIA4zuQjFpL0/PlzzZkzN7prAQAAABBPfVSwSJUqlb5p1Uq5cuWUJHl6eWnDho3y9/ePztoAAAAAxBMmnwpVsmRJnfrjpDp37qhUqVIpVapU6typo/74/YRKliwZEzUCAAAAiONMPmLhOHGCduzYqSFDhyk0NFSSZGlpqUmTJspx4gRVrVY92osEAAAAELeZfMQia9as+nXhQkOokKTQ0FAtXLhIWbNmjc7aAAAAAMQTJgeLy5cvKVfOXOHac+XMpavuV6OlKAAAAADxS5ROhfryy7yG/y9Zukzjxo1R1qxZdfbsWUlSkSJF1KFDOzlOmhwTNQIAAACI46IULA7s32e4w/Y7I0YMC9dv/ry52rFjZ/RVBwAAACBeiFKwKFmqTEzXAQAAACAei1Kw8PX1jek6AAAAAMRjH3WDvM8//1wlShRXurRpZWlpPP57ydJl0VIYAAAAgPjD5GDRokVzTZk8ScHBwfrzzz8VFhZmmBYWFkawAAAAABIgk4PFoIEDNHPWbM2dO88oVAAAAABIuEy+j0VSGxtt376DUAEAAADAwORgsX7detWvVzcmagEAAAAQT5l8KpTjpMlauWK5KlWqJA8PDwWHhBhNHzt2XLQVBwAAACB+MDlY9O7dS5UqVZS3t7ekvAqT8eBtAAAAAAmPycGie7eu6td/gDZu3BQT9QAAAACIh0weYxEUFKQzZ87ERC0AAAAA4imTg8XiJUvVqWPHmKgFAAAAQDxl8qlQhQsVUtmyZVStWlV5enoqONh48HaXrt2irTgAAAAA8YPJweLZs2fas2dvTNQCAAAAIJ4yOVj07dc/JuoAAAAAEI+ZPMYCAAAAAP7N5CMWf/x+4r33qyhdppxZBQEAAACIf0wOFosWLzF6nDhRYn31VX5VqlxJC35ZEF11AQAAAIhHTA4WS5YsjbC9Q/v2KliwgNkFAQAAAIh/om2MxeEjR1SnTu3oWhwAAACAeCTagkW9unXk7+8fXYsDAAAAEI+YfCrU/n17jAZvW1hYyM7OTmnTptXQYcOjtTgAAAAA8YPJwWLv3n1Gj0PDwvTkyRP9fvJ3Xff2jrbCAAAAAMQfJgeLGTNnxUAZAAAAAOIzbpAHAAAAwGxRPmJx1+f2e2+MJ0lhYWH6Iks2s4sCAAAAEL9EOVh07tw10mlFixZR586dZGFhES1FAQAAAIhfohws9u3fH64tR47sGjZ0qKpXr6atTk6aNm16tBYHAAAAIH4wefC2JH3++eca0L+fmjdvJhcXF1WvUUvXrl2L7toAAAAAxBMmBYsUKVLoh9691KlTR125ckUtWn6j06dPx1RtAAAAAOKJKAeLHt9/px49e8jv0SP16NErwlOjAAAAACRMUQ4Ww4YN1atXr3Tr1m01b95MzZs3i7Bfl67doq04AAAAAPFDlIPFps1bpA9cbhYAAABAwhTlYNG3b7+YrAMAAABAPBard94uWbKkVixfqrNurrrn66NaNWuG6zNwQH+dO+sq7+te2rB+rbJly2o0PXXq1Jo3d46ueVyV+9XLmv7TNNna2n6iLQAAAAAgxXKwsLW10ZWr7ho2fESE03v2+F6dOnXUkCHDVK9+fb148VJr16xWkiRJDH3mzZ2jPHlyq9U3rdW+fUeVLFVS06ZO+VSbAAAAAEAfeR+L6HLkiLOOHHGOdHqXLp01e/ZcwxWofvixjy6cP6taNWtq+44dypkzp6pUqaxatevq4sWLkqQRI0Zp9aoVGjd+gh4+fPgpNgMAAABI8GL1iMX7fPHFF/r888917PgxQ9vz58917tx5FS1aRJJUrGhR+fv7G0KFJB07dkyhoaEqXLjwJ68ZAAAASKhi9YjF+9jb20mS/PweG7X7PfaTvb29JMnO3k5Pnjwxmv7mzRv5+/sb5o+ItbW1rK2tDY+TJUsWXWUDAAAACVKcDRYxqXevnurfn6tcAQAAANElzp4K9eiRnyTJzi6dUbtdOjs9evRIkuT3yE9p06Y1mm5lZaXUqVMb5o/I3HnzlTvPl4afwkWKRXP1AAAAQMISZ4PFnTt39PDhQ5UrV87Qljx5chUuXEhubmclSa5ubkqdOrW+/vprQ59yZcvK0tJS586di3TZQUFBCggIMPwEBgbG3IYAAAAACUCsngpla2trdF+KzF9kVv78+eT/p798793T4sVL9OMPvXXzxk3d8fHRoIED9PDhQ+3dt0+SdP36dR0+fEQ/TZuiwUOGKXGiRJowcby2b9/BFaEAAACATyhWg0XBggW0ZfMmw+OxY0ZLkjZs3KS+fftp/s+/yNbWVlOnTlbKlCl15swZfdumrV6/fm2Yp1fvHzRxwnht3LBOoaGh2r17j0aMHPXJtwUAAABIyCwyZHQIi+0iYlvy5Mnlec1dufN8qYCAgNguBwAARFHmJodiuwQgxvlsrRpr6zblc3KcHWMBAAAAIP4gWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAACxIn369Jo7Z7YuX74o7+teOnTwgAoUKGCYni5dOs2cOUNn3Vzlfd1Ta1avUrZsWWOvYADAeyWK7QIAAAlPqlSptH3bVp08+bvatGmnJ0+eKHu2bPrrr78MfZYuXayQ4BB17NRZAQHP1a1bV21Yv04VK1XRy5cvY7F6AEBECBYAgE+uZ4/vde/effXt19/Q5uPjY/h/9uzZVKxoUVWqXFWenp6SpCFDhunC+bNq3Kih1q5b/8lrBgC8H6dCAQA+uRo1quvCxYv69ddfdPHCOe3ft0etW39jmG5tnUSS9Pr1a0NbWFiYgoKCVLxEiU9eLwDgwwgWAIBP7osvvlC7tm108+YttW7dRitWrtL4cePUvHkzSdL169d19+5dDR06WKlSpVLixInVs8f3ypgxoz63t4/l6gEAEeFUKADAJ2dpaamLFy9q8uQpkqTLV64ob548atu2jTZt2qyQkBB17tJNM6ZPk/vVywoJCdGxY8d16NBhWVhYxHL1AICIECwAAJ/co0eP5OnpZdTmdf266tSpY3h86dIlVa9RSylSpFDixIn19OlT7dq5QxcvXvzU5QIAooBToQAAn9yZM67KkSOHUVv27Nnl63s3XN/nz5/r6dOnypYtqwoWLKB9+/Z/qjIBACYgWAAAPrmFixarSJHC6t27l7JmzarGjRqpzbettWz5CkOfevXqqnTpUvriiy9Us0YNrV+3Vnv37pPL0aOxWDkAIDKcCgUA+OQuXLigzl26auiQIerb50f5+Pho1OgxcnLaZujzub29xowepXTp0unRo0fatHmLZs2aHXtFAwDei2ABAIgVBw8e0sGDhyKdvmTpMi1ZuuwTVgQAMAenQgEAAAAwG0csAOADMjeJ/Ft14L/CZ2vV2C4BQDzHEQsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwW5wOFv379dU9Xx+jn6MuRwzTkyRJIseJE3T58kV5eXpo0cJflS5dulisGAAAAEiYEsV2AR/i4XFNLVt9Y3j8JiTE8P8xY0arWtUq6t79Oz179lwTJ47XksUL1bBRk9goFQAAAEiw4nywePMmRH5+fuHaU6RIoW9atVTPXr114sRJSVK/vv119KizihQprLNnz33qUgEAAIAEK06fCiVJ2bJl01k3V/1+8rjmzZ2jTBkzSpIKFPha1tbWOnbsuKHvdW9v3b17V0WLFo2tcgEAAIAEKU4fsTh77pz69O0nb29v2dt/rv79+sjJaYsqV6kmezt7vX79Ws+ePTOax8/vsezt7N67XGtra1lbWxseJ0uWLEbqBwAAABKKOH3E4sgRZ+3a9Zvc3T3k4uKiNm3bK2XKlGpQv55Zy+3dq6c8r7kbfs6ddY2mihGX9erZQ/d8fTR27GhD27ffttbmTRt1zeOq7vn6KGXKlLFYIQAAQPwVp4PFvz179kw3btxU1qxZ9cjvkZIkSRLug6CdXTo9imBMxj/NnTdfufN8afgpXKRYTJaNOKBgwYJq0+ZbXbl61ajdxsZGzs7Omjt3XixVBgAA8N8Qr4KFra2tsmTJokePHunixUsKCgpSuXJlDdNz5MguBwcHubm5vXc5QUFBCggIMPwEBgbGdOmIRba2tpo3b44GDhqsv/z/Mpq2ePESzZv/s9zOno2l6gAAAP4b4nSwGDVyhEqVKiUHBwcVK1ZUS5csUmjoGzlt267nz59r3foNGjN6lMqUKa2vv/5aM2dMl6urK1eEghFHxwk6dOiw0UB/AAAARK84PXg7Q4YM+nn+PKVJk1pPnj7VmdNnVK9+Qz19+lSSNGbMWIWFhmrRwoVKksRazs4uGjpseCxXjbikYYMG+vqrr1WnrnnjcgAAAPB+cTpYfN+j53unv379WsOGj9Cw4SM+UUWITzJmzKBx48ao1Tet9fr169guBwAA4D8tTgcLwBwFvi4gOzs77du7x9CWKFEilSpVUh07dFDWbDkUGhoaixUCAAD8dxAs8J917PhxVa5Szaht5ozpuu59XfPn/0KoAAAAiEYEC/xnBQYG6tq1a0ZtL1680J9//mlot7Ozk729nbJlzSpJyps3rwIDA+Tre0/+/v6fuGIAAID4i2CBBK1d2zbq37+f4fE2py2SpD59+2njxk2xVRYAAEC8Q7BAgtKseQujx9NnzNT0GTNjqRoAAID/jjh9HwsAAAAA8QNHLOKIzE0OxXYJQIzz2Vo1tksAAAAxhCMWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADDbfyZYdGjfXqf+OKkb3l7atXOHChUqFNslAQAAAAnGfyJYNGhQX6NHj9SMGbNUs1YdXb16VWvXrFLatGljuzQAAAAgQfhPBItuXbtq7dp12rBxo7y8vDR4yFC9fPlK37RqGdulAQAAAAlCotguwFyJEydWgQJfa968+Ya2sLAwHTt+TEWLFo1wHmtra1lbWxseJ0uWzOjf2JAs6X8i4wHvlTx58tgu4aOwfyIhYP8E4q7Y3D9N+Xwc74PFZ599pkSJEsnvsZ9R+2O/x8qZI2eE8/Tu1VP9+/cL137urGuM1Ajgb9PcY7sCAJFh/wTirjiwfyZLlkwBAQHv7RPvg8XHmDtvvn5duMioLU2aNPrzzz9jqSJ8asmSJdO5s64qXKSYAgMDY7scAP/A/gnEXeyfCVOyZMn08OHDD/aL98Hi6dOnCgkJkV06O6P2dHbp5OfnF+E8QUFBCgoKMmr7UALDf1NgYCC/eyCOYv8E4i72z4Qlqr/reH9iYnBwsC5evKRy5coa2iwsLFSuXDm5ubnFYmUAAABAwhHvj1hI0sJFizRr5gxduHhR586dV9eunWVrY6P1GzbGdmkAAABAgvCfCBY7duxU2s8+08AB/WVnZ6crV67q2zZt9fjx49guDXFUUFCQpk+fEe6UOACxj/0TiLvYP/E+FhkyOoTFdhEAAAAA4rd4P8YCAAAAQOwjWAAAAAAwG8ECAAAAgNkIFvhPOPXHSXXp0jm2y/ige74+qlWzZmyXAfyntGjRXO5XL0f7ch0cHHTP10f58+eL8jz9+/XVgf17P/l6ETfE1N9idImOv8+PYep7dHTVGVvbm5ARLPBeM2fO0D1fH/Xq2cOovVbNmrrn6/PJ64nsRbt2nXpas3rNJ68HiCl2dnaaMH6cfj95XDdvXJfrmVNasXyp0T17PhUCMRK6mTNnaOmSxeHaS5cupXu+PkqZMqWkt1epLFe+4qcuL877FO/REb1O/bLgV7Vo2SpG1wtjBAt80MuXr9Sjx/dKlSpVbJcSqadPn+rlq1exXQYQLRwcHLR3z26VLVtG4ydMVNVq1dX627Y6cfJ3OU6cENvlRSpTxoyxXQIQq169eqUnT56YtYxEiT7uTgCJEyc2a70xKbbeo1+8eKE///T/5OtNyAgW+KDjx4/Jz89PvXv1fG+/EsWLy2nrFnlf95LrmVMaP26sbGxsDNPt7e21cuVyeV/30h+/n1DjRo3CHR7t1q2rDh08oOte1+R65pQcHSfK1tZW0ttvhmbNnKFUqVLpnq+P7vn6qH+/vpKMD7POnzdXC3752ai2RIkS6fKlC2rWrKmkt3dn79Wrp/74/YS8r3vpwIF9qlu3TqTbNmTIYO3auSNc+4ED+9S3z4+SpIIFC2r9ujW6fOmCPNyvaMvmTfr6q68iXea/v+mSpPz58+mer48cHByi/Ly2b99Ox48f1Q1vL104f1YLFy6IdJ2IHyY5TlSYwlSnbn3t3r1HN27clKenpxYuXKR69Rsa+mXKmFHLli6Rl6eHrnlc1YIFPytdunSG6RF9yzp27Ght3vT/m4du3rRR48eN1Yjhw3Tl8iWdP+dm2K+kt/uWJC1dulj3fH0MjyOyZcsm7dy5Xe3atTX5i4jEiRNr4oTxOnfWVTe8vXT61O/q9Y/XnJQpU2rKlEm6cP6sbnh76fChg6pWrarRMipWrCgX58Py8vTQmtWrZG9vbzS99Tet5OJ8WDe8vXTU5Yjat29nNL1QoULav2+Pbnh7ac/u3/TVv/bfiI6YRuXorbnrRfwR0d9IzRo1tG/vbt3w9tLvJ4+rX98+srKyMky/5+ujdu3aavmypbrudU0//tBblpaWmv7TNMN71LGjzurcuZPRct/t3z/80Ftn3Vx17KizJClDhvT6ef48Xbl8Sde9rmnP7t9UuHAho3mbNm2iU3+clIf7Ff3y83wlS5ZMktSsWVNdvnxR1tbWRv2XLlmsOXNmRbjNO7Y7afiwoUZtn332mW7fuqGSJUtKCn8q1Ideu/7tQ++vkb1O/ftUKAsLC/Xt86NcXU/r5o3rOrB/rypVqmSY/u40xNq1a2nTpg3yvu6pAwf2qWjRIv+vPVMmrVi+VFevvH1+jxw+qCpVKkdae0JDsMAHvXkTqkmTp6pjx47KkCF9hH2yZMmiNWtW6bfdu1WtenV9930PlShR3Ojb1TmzZyr955+rWfPm6tq1u779tnW4F5LQ0FCNHDVKlSpX1Y99+qpc2TIaMWK4JMnV1U0jR43Ws2fPVLBQERUsVES/LPg1XC1bnZxUvXo1QyCRpEqVKsrGxkZ79rx9gendu5eaN2uqwUOGqXKVqlq0aLHmzpmtUqVKRbh9W7c6qUiRwsqSJYuhLXfu3MqfL5+ctm2XJCVPnkwbN21Wo0ZNVK9+Q928eVOrVq0wvGB/jA89rwUKFND4cWP107TpKl+hkr79tq1O/XHqo9eH2Jc6dWpVrlxJy5ev0MuXL8NNf/bsmaS3b5DLli1R6tSp1aRpc7X6prWyfJElXKiOiubNm+nFixeqV7++Jkx0VN++fVShfHlJb09hkKQ+ffupYKEihscRadK0mfbvP6DOnTrq3FlXLVjws6pWrSJLyw+/1XTu1Ek1alRX9+96qHyFSurV6wfd9blr2NbVq1eqeLHi6t37R1WqXFWOkybpzZs3hvltbGz0/Xfd1PuHPmrSpJkyZcqoUSNHGKY3btxIAwYM0OQpU1WxUhVNmjxFAwcOUPPmzSRJtra2WrlimTw9vVSrdl1NnzHDaP6PFVvrRdxQokQJzZ49U4uXLFWlylU1ePBQtWjRXD/+0NuoX/9+fbVnz15VqVpd69dvkKWlpe7fv69u3b9XpcpVNGPmLA0dMlj16xvvf+XKlVWOHNnV6pvWate+o2xtbbVl82alT59eHTt2UrXqNfXzL78Y7YNZsmRRrZo11a59R7Vr31GlSpU0hPhdu36TlaWlatSobuifNm1aVa1aRevXb4hwG7du3aaGDRsYtTVsUF8PHz7UqVPh348+5rXrQ++vUX2d6tKls7p376bx4yaoWvUacnZ20fJlS5QtW1ajfkMGD9KCBb+qeo2aunHjhn6eP88QBh0dJ8jaOomaNG2uKlWra6LjJAUGvoi09oTmP3HnbcS8vXv36srVKxrQv7/6DxgYbnrvXj211clJixcvkSTdvHlLI0eO1pYtmzRk6DBldnBQhQoVVKt2XV28eFGSNGDgIJ08ccxoOe/ml6S7d+9qytRpmjJ5koYNG67g4GA9f/5cYWFh8vPzi7RWZ2cXvXjxQrVr19KWLVslSY0bNdL+/QcUGBgoa2tr/dC7l1q2+kZubmclSXfu3FGJ4sXVts23+uOPP8It09PTU1euXFHjxo00a9ZsSVKTJo3ldvasbt26JUk6ccL4m9yBgwbLw/2KSpcupYMHD733+Y3Mh57XTJky6sWLFzpw8KACAwPl6+ury1eufNS6EDdkzZpVlpaWun7d+739ypcrp7x586pU6TK6d+++JOmHH/vIxfmwChYsqAsXLkR5ne7uHpoxc5akt39jHTt0ULlyZXX02DE9ffpUkvTsr2fv3e8k6d69+5o7d57mzp2nQoUKqXmzppo1c4ZCQkLk5LRNGzZu0rVr1yKcN1OmjLpx86ZOnz4tSfL19TVMq1C+vAoXKqSKlSrrxo2bkt7us/9kbW2twUOG6fbt25KkZctXGI4mStKA/v01btx4w5cLPj4+yp07t9q2+VabNm1W48aNZGlpqf4DBur169fy9PRUhgwZNGXypKg+jRGKrfUi+lWrVlVenh5GbZaWVpH0fqt/vz6aN/9nbdq0WdLbv9up037SiOHDDfucJDlt264NGzcazfvT9BmG//v4+KhY0aKqX7+edu7cZWh/8eKFBgwYpODgYEnSt9+2Vtq0n6lO3Xry9/eXJMN71P9rtlSfvv0UGBgoSdqyZavKlSurKVPensrltG27WrZooV27fpP09uiGr+89nTz5e4TbuGPnTo0dO1olSpQw7L+NGzfStr+/dPu3j3nt+tD7a1Rfp77r3l3zf/5F23e8PQNhouMklSlTRl27dNGw4f8P9AsW/KpDhw5Lkn76aYZcnA8rW9asuu7trUwZM2n37t3y8Hj7t/Dv16KEjmCBKJs4cZI2bVwf4VGCfPny6csv86pJ48aGNgsLC1lZWSlz5szKkT27goODdenSJcP0W7duhTv3sXz5curVq6dy5sipFCmSy8oqkWxsksomadIon5/55s0b7dy5S00aN9aWLVtlY2OjmjVr6Pseb7+RyZo1q2xtbbV+3Vqj+RInTqzLlyP/UL51q5NatWppCBaNGjbQwoWLDNPTpUunwYMGqnSZ0kqXNq2srKxkY2OjTJkyRanuiHzoeT169Jju3vXVH7+f0BFnZx054qy9e/Yy3iQes7CIWr9cuXLq3r17hjdmSfLy8pK/v79y5cppYrBwN3r86NGj956WEBXnz5/X+fPnNWbsOA0dOkTdunVV+fLlVL1GrQj7b9y4SevWr9WxYy5yPuKsgwcPyeXoUUlvTxG8f/++IVRE5MWLF4ZQIUkPH/5/G2xsbJQtW1ZNnz5N06ZNMfSxsrLS8+fPJUm5cuXSVXd3vX792jDdzc3t45+AWFwvYsbJkyc1ZOhwo7bChQtp/ry5kc6TL18+FStW3OgIhaWlVbj3tYj21w7t26tVqxbKlCmTkiZNqsSJE+vKlatGfTw8PAyhQpLy58+vy5evGEJFRHx8fAyhQpIePnqkdGnTGh6vXbNWu3fvUvr06fXgwQO1aN5cGzdtinR5T58+lcvRo2rSpJFOnz6tzJkzq1ixYho0eGiE/T/mtSs63l+TJ0+uDBnS68wZV6P2M66uypfvS6O2q+7/D5CPHj2SJKVNl07Xvb21dOlSTZrkqIoVK+jYseP6bfduubsbB86EjGCBKDt16pScXVw0bOgQbdxo/CKTLJmtVq9eoyVLl4Wbz9fXVzmyZ//g8h0cHLRi+TKtXLVaU6ZMlb+/v0oUL6EZM35SYmtrkz4sb3Vy0pbNm5Q2bVpVqFBer1690pEjzoZaJaltuw568OCB0XxBQa//vSiDbdu3a/jwYfr6q6+UNGlSZcyYUdt37DRMnz1rptKkSaNRo0br7l1fBQUFaeeObZEOqAsNDZP0Nii8kyiRcd8PPa/BwcGqWau2ypQprYoVKmjggAHq37+f6tSpZzhlBvHLzZu3FBoaqpw5c5i9rLDQUKO/L0lKnCj832NwSLDR47CwMFlE4fSl98mRI7uaNm2qpk0aK0WKFFqzdq3WrYv4VApJunT5skqVKqMqVSqrfLlyWrDgZx07flzdun2nV1HY9//54ervjTCc/vHudIkBAwfp3LnzRt3+eTrVh4RG8HwmShz522h0rRdxw4sXL8N9+x/Z6cHv2Nom0/Tp07V7T/hLnr76R5h8+cL4tMeGDRpo5MgRGjd+vNxc3RQQGKjvv++uIoULh6vJaJlR2FdCQkKMHof9Y1+RpMtXrujq1atq1qypXFyOKk+e3GrXvv17l+m0dZvGjx+rESNGqXHjRrp61d3wjX50MPX91Vwh/3hNDAt7+15tafl231+7br2cXVxUtWpVVaxQQb169dS4ceO1dNnyGKklviFYwCSOjpN1YP9eeXsbn6Zx6dJl5c6dK9yL7jve3t5KnDixvvrqK8NRi6xZsypNmtSGPgUKfC1LS0uNHTvOsCPXr1/faDnBQcFGg94i4+rqpnv37qlhg/qqXLmydu76zfBi6unppVevXilTpowRnvYUmfv3H+j3P/5Q4yaNlTRpUh09eszo6h/FixfT0GHDdfjwEUlSxowZlPYf3wL927t57e3t9ddff0lSuOvWf+h5ld5+QDl27LiOHTuu6TNmysP9isqWLWM49QLxi7+/v5ydXdShQ3stWbI03DiLlClT6tmzZ/Lyuq6MGTMqY8YMhm/+cuXKpdSpU8vT00vS27+xPHnyGM2fP38+BQcbf7D4kKCgIFlafThofJYmjRo2bKCmTZuqQIGvdfToMTk6TtbeffuMvpGPTEBAgHbs2KkdO3Zq12+7tW7taqVOnVpX3T2UIUMGZc+e7b1HLSLz+PFj3b//QFmyZJGT07YI+3h5ealZ0yZKkiSJodYiRYoY9Xny5ImSJ08uGxsbw+8lf/78Mb5exF+XL19Sjhw53vsaHpHixYvJ1c1VK1asNLRl/ccYv8i4u7ur9TetlDp16vcetfiQtevWq2uXzsqQPr2OHTtudHQhInv37dPUqZNVuXIlNW7UUJs3b4m0b1Reu/4tKu+vH3qdCggI0P37D1S8eDGj9/7ixYrp/Pnz792+f7t3775WrVqtVatWa+iQwWrdujXB4m8M3oZJPDw8tNXJSZ06GV+dYv7PP6tYsWKaOGG88ufPp2zZsqpmjRqaOGG8JOm6t7eOHj2qaVMnq1ChQvoqf35NnTpZL1++NISIW7duydraWp06ddQXX3yhpk2bqG3bNkbr8bnro+TJk6tcubL6LE0a2SRNGmmtTtu2q23bNqpQobyctjoZ2gMDA7Xg14UaO2a0mjdvpixZsujrr75Sp44dDAMqI13mVic1bNBA9evV1VYnJ6NpN2/eVLOmTZUzZ04VLlxI8+bOjXDw7Tu3bt2Sr6+v+vfvq2zZsqpq1Sr6rns3k57XatWqqnOnjsqfP58yZcqk5s2bydLSUt7eN967HYjbhg0fIStLS+3+bafq1KmtbNmyKmfOnOrcqaN27tgmSTp67Jg8PDw0b+5cff3VVypUqJDmzJ6lkyd/N4xjOn7ipAoWLKBmzZoqW7asGtC/X7igERU+d++qXLlysrOze+/Vnnbt2ql27dpq9+7dKla8pNq0baftO3ZEKVR069ZVjRo2VM4cOZQ9ezbVr1dXDx8+1F9//aU//vhDf5w6pUULF6pC+fLKnDmzKleuZHQ1lw+ZPn26evfqqc6dOip79mzKmzevWrZooW7dukqSnJy2KSwsTNOmTVGuXLlUpUplffddd6NlnDt3Xi9fvtTQIYOVJUsWNW7USC2aN4/x9SL+mjFztpo1a6p+ffsod+7cypkzpxo2aKBBg8KPVfynmzdvqmCBAqpYsaKyZ8+mgQMHqGDBgh9c37Zt2+Xn56elSxareLFi+uKLL1SnTm2jqxpFhZPTNmXIkEGtW3+j9RsiP9L4zsuXL7V37z4NGjhAuXLlinR8hRS1165/i8r7a1Rep35ZsEA9e3yvBg3qK0eO7Bo2dIjy58+nxUuWRNg/ImPHjlbFihWVOXNmff3VVypTtoyuX78e5fn/6wgWMNm0adMNhwTfcXf3UJOmzZU9e3Y5bd2i/fv2asDA/nrw8KGhzw8/9pWf32Nt3bJJS5Ys0to16xQQEGD40HH1qrtGjxmrnj166Mjhg2rSuLEmTZpstB5XVzetWLlKC375WZcvX1SPHt9HWufWrU7KkyePHjx4oNNnzhhNmzp1mmbOmq3evXrKxfmw1qxZpapVq+rOnfdfNnLXb7uVJk1q2djYaO/efUbT+vcfqFSpUmnf3j2aM2e2lixdqsePH0e6rJCQEPXo0Us5c+TUwQMH1LNHD02ZOs2k5/XZX89Uu3ZtbdywQUddjqht2zbq0bOXPD0937sdiNvu3LmjmrXq6OTJ3zV61EgdPnRQ69evVbly5TRk6DBDv44dO+uvv/7S1q2btWH9Wt2+c1vfff//m1m6uLho1qzZGjF8mHb/tkvJkid/7zeJkRk3brwqVCgv1zOntH/fnkj7tWvXXpWrVNPPvywwnJccVQEBAerR4zvt2fObdv+2S5kzO6ht2/aGLx66du2uCxcu6Oef58n5yGGNGD5cVlE4ivLO2nXrNWDAILVs2UKHDh7Qls2b1KJFc8M+/+LFC7Xv0FFf5s2r/fv2aMjgQZo40dFoGf7+/urd+0dVqVpFhw8dUKNGDTR9xoyIVhet60X85eLionbtO6pixQras3uXdu3crq5du+ju3bvvnW/V6jXas2evFvwyX7t27lCaNGmMjl5EJjg4WK2++VaPnzzWqlUrdPjQAfXq2VNv3oSaVPfz58/12+7dCnzxItx7XWS2Ojkpf/78OnXqtHzv3Xtv3w+9dv1bVN5fo/I6tWTJUi1cuEijRo3UoYMHVLlyJXXo2Fk3b96K0jZKkpWllRwnTjB8drhx44aGDhv24RkTCIsMGR3CYrsIJEwZMqSXm+sZtWjZSsePn4jtcgAAwN82bFgnz2ueGjlqdGyXgniEMRb4ZMqWLaNktsnk7uGhzz+314jhw3Tnzh39wX0XAACIE1KlSqXSpUurTOnSGjZs+IdnAP6BYIFPJlGixBoyZLCyZPlCAQEBcnV1U89eP4S7QgUAAIgd+/ftUapUqTRx4iTG68FknAoFAAAAwGwM3gYAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGC2/wGvAdsbDSs4vgAAAABJRU5ErkJggg==" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 51 + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -2157,28 +1328,14 @@ { "cell_type": "code", "id": "878bc69be04243b3", - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.486676929Z", - "start_time": "2026-05-20T13:46:50.414153404Z" - } - }, + "metadata": {}, "source": [ "df = merging.merge_trains(df, comp_df)\n", "print(f\"After merge: {len(df)} rows, {len(df.columns)} columns\")\n", "print(f\"Columns: {df.columns.tolist()}\")" ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "After merge: 11260 rows, 41 columns\n", - "Columns: ['Date', 'Service', 'Departure station', 'Arrival station', 'Average journey time', 'Number of scheduled trains', 'Number of cancelled trains', 'Number of trains delayed at departure', 'Average delay of late trains at departure', 'Average delay of all trains at departure', 'Number of trains delayed at arrival', 'Average delay of late trains at arrival', 'Average delay of all trains at arrival', 'Number of trains delayed > 15min', 'Average delay of trains > 15min (if competing with flights)', 'Number of trains delayed > 30min', 'Number of trains delayed > 60min', 'Pct delay due to external causes', 'Pct delay due to infrastructure', 'Pct delay due to traffic management', 'Pct delay due to rolling stock', 'Pct delay due to station management and equipment reuse', 'Pct delay due to passenger handling (crowding, disabled persons, connections)', 'year', 'month', 'season', 'delay_category', 'cancellation_rate', 'punctuality_rate', 'departure_station_id', 'departure_station_geo', 'departure_station_trigrame', 'departure_station_segment', 'departure_station_comunal_code', 'departure_station_UIC_code', 'arrival_station_id', 'arrival_station_geo', 'arrival_station_trigrame', 'arrival_station_segment', 'arrival_station_comunal_code', 'arrival_station_UIC_code']\n" - ] - } - ], - "execution_count": 52 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2202,12 +1359,7 @@ "id": "6c5908c46a5d4206" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.729065194Z", - "start_time": "2026-05-20T13:46:50.488549012Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "df = df.reset_index(drop=True)\n", @@ -2216,17 +1368,8 @@ "print(f\"Columns: {df.columns.tolist()}\")" ], "id": "7fdab8e3e1287da8", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Exported: 11260 rows, 41 columns → cleaned_dataset.csv\n", - "Columns: ['Date', 'Service', 'Departure station', 'Arrival station', 'Average journey time', 'Number of scheduled trains', 'Number of cancelled trains', 'Number of trains delayed at departure', 'Average delay of late trains at departure', 'Average delay of all trains at departure', 'Number of trains delayed at arrival', 'Average delay of late trains at arrival', 'Average delay of all trains at arrival', 'Number of trains delayed > 15min', 'Average delay of trains > 15min (if competing with flights)', 'Number of trains delayed > 30min', 'Number of trains delayed > 60min', 'Pct delay due to external causes', 'Pct delay due to infrastructure', 'Pct delay due to traffic management', 'Pct delay due to rolling stock', 'Pct delay due to station management and equipment reuse', 'Pct delay due to passenger handling (crowding, disabled persons, connections)', 'year', 'month', 'season', 'delay_category', 'cancellation_rate', 'punctuality_rate', 'departure_station_id', 'departure_station_geo', 'departure_station_trigrame', 'departure_station_segment', 'departure_station_comunal_code', 'departure_station_UIC_code', 'arrival_station_id', 'arrival_station_geo', 'arrival_station_trigrame', 'arrival_station_segment', 'arrival_station_comunal_code', 'arrival_station_UIC_code']\n" - ] - } - ], - "execution_count": 53 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2263,49 +1406,12 @@ "id": "d46f60f463b0e16a" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.802696927Z", - "start_time": "2026-05-20T13:46:50.730433447Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "audit.check_completeness(df, report)", "id": "7865d5fdebe5242e", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overall completeness : 97.05% (448,048 / 461,660 cells non-null)\n", - "\n", - "Least complete columns:\n", - " 93.6% ░ arrival_station_geo\n", - " 93.6% ░ arrival_station_trigrame\n", - " 93.6% ░ arrival_station_UIC_code\n", - " 93.6% ░ arrival_station_comunal_code\n", - " 93.6% ░ arrival_station_segment\n", - "\n", - "Most complete columns:\n", - " 100.0% Date\n", - " 100.0% Service\n", - " 100.0% Departure station\n", - " 100.0% Arrival station\n", - " 100.0% season\n" - ] - }, - { - "data": { - "text/plain": [ - "0.9705" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 54 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2326,253 +1432,12 @@ "id": "fff0fbd30ee4b070" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:50.875278648Z", - "start_time": "2026-05-20T13:46:50.806910897Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "audit.check_distributions(df, report)", "id": "8a3f88e81faf1d14", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " n mean std min p25 median p75 max\n", - "column \n", - "Number of scheduled trains 11235 270.733 182.945 0.000 150.000 229.000 358.000 1100.000\n", - "Average delay of all trains at arrival 11243 6.073 5.464 -173.077 3.358 5.326 8.069 92.000\n", - "Average delay of all trains at departure 11243 3.150 5.190 -229.269 1.208 2.325 3.952 115.047\n", - "Average delay of late trains at arrival 11235 35.532 16.005 -40.371 25.890 33.750 42.887 299.600\n", - "Average delay of late trains at departure 11245 12.318 11.957 -5.370 6.174 10.343 15.769 316.188\n", - "cancellation_rate 10924 0.039 0.086 0.000 0.000 0.007 0.031 0.927\n", - "punctuality_rate 10915 0.861 0.077 0.000 0.826 0.874 0.912 1.000\n", - "Average journey time 10911 170.805 88.043 0.000 100.000 163.000 223.000 703.130\n", - "Pct delay due to external causes 10923 21.559 16.003 0.000 10.526 19.048 30.000 100.000\n", - "Pct delay due to infrastructure 10943 21.876 14.878 0.000 11.940 20.000 29.630 100.000\n", - "Pct delay due to traffic management 10920 20.410 14.717 0.000 10.345 18.750 28.571 100.000\n", - "Pct delay due to rolling stock 10936 18.845 13.485 0.000 10.000 16.949 25.343 100.000\n" - ] - }, - { - "data": { - "text/plain": [ - " n mean std min \\\n", - "column \n", - "Number of scheduled trains 11235 270.733 182.945 0.000 \n", - "Average delay of all trains at arrival 11243 6.073 5.464 -173.077 \n", - "Average delay of all trains at departure 11243 3.150 5.190 -229.269 \n", - "Average delay of late trains at arrival 11235 35.532 16.005 -40.371 \n", - "Average delay of late trains at departure 11245 12.318 11.957 -5.370 \n", - "cancellation_rate 10924 0.039 0.086 0.000 \n", - "punctuality_rate 10915 0.861 0.077 0.000 \n", - "Average journey time 10911 170.805 88.043 0.000 \n", - "Pct delay due to external causes 10923 21.559 16.003 0.000 \n", - "Pct delay due to infrastructure 10943 21.876 14.878 0.000 \n", - "Pct delay due to traffic management 10920 20.410 14.717 0.000 \n", - "Pct delay due to rolling stock 10936 18.845 13.485 0.000 \n", - "\n", - " p25 median p75 max \n", - "column \n", - "Number of scheduled trains 150.000 229.000 358.000 1100.000 \n", - "Average delay of all trains at arrival 3.358 5.326 8.069 92.000 \n", - "Average delay of all trains at departure 1.208 2.325 3.952 115.047 \n", - "Average delay of late trains at arrival 25.890 33.750 42.887 299.600 \n", - "Average delay of late trains at departure 6.174 10.343 15.769 316.188 \n", - "cancellation_rate 0.000 0.007 0.031 0.927 \n", - "punctuality_rate 0.826 0.874 0.912 1.000 \n", - "Average journey time 100.000 163.000 223.000 703.130 \n", - "Pct delay due to external causes 10.526 19.048 30.000 100.000 \n", - "Pct delay due to infrastructure 11.940 20.000 29.630 100.000 \n", - "Pct delay due to traffic management 10.345 18.750 28.571 100.000 \n", - "Pct delay due to rolling stock 10.000 16.949 25.343 100.000 " - ], - "text/html": [ - "
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nmeanstdminp25medianp75max
column
Number of scheduled trains11235270.733182.9450.000150.000229.000358.0001100.000
Average delay of all trains at arrival112436.0735.464-173.0773.3585.3268.06992.000
Average delay of all trains at departure112433.1505.190-229.2691.2082.3253.952115.047
Average delay of late trains at arrival1123535.53216.005-40.37125.89033.75042.887299.600
Average delay of late trains at departure1124512.31811.957-5.3706.17410.34315.769316.188
cancellation_rate109240.0390.0860.0000.0000.0070.0310.927
punctuality_rate109150.8610.0770.0000.8260.8740.9121.000
Average journey time10911170.80588.0430.000100.000163.000223.000703.130
Pct delay due to external causes1092321.55916.0030.00010.52619.04830.000100.000
Pct delay due to infrastructure1094321.87614.8780.00011.94020.00029.630100.000
Pct delay due to traffic management1092020.41014.7170.00010.34518.75028.571100.000
Pct delay due to rolling stock1093618.84513.4850.00010.00016.94925.343100.000
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 57 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2680,60 +1492,20 @@ "id": "bd04dc163ac0b60" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:51.802044204Z", - "start_time": "2026-05-20T13:46:51.733790938Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "checks = audit.check_validity(df, report)", "id": "e72dcf911fd486f3", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Validity checks:\n", - " ✓ cancellation_rate_in_0_1\n", - " ✓ punctuality_rate_in_0_1\n", - " ✓ no_negative_scheduled\n", - " ✗ hierarchy_15min_30min\n", - " ✗ hierarchy_30min_60min\n", - " ✓ pct_delay_sum_le_105\n", - " ✓ date_range_sane\n", - " ✓ service_only_2_values\n", - " ✓ no_fully_null_rows\n", - "\n", - "7/9 checks passed\n" - ] - } - ], - "execution_count": 58 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.000102968Z", - "start_time": "2026-05-20T13:46:51.876306804Z" - } - }, + "outputs": [], + "execution_count": null + }, + { + "metadata": {}, "cell_type": "code", "source": "cplots.plot_validity_checks(checks)", "id": "1a6b142b3794a214", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 59 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2755,41 +1527,12 @@ "id": "8dac6d0b9e60f817" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.031824645Z", - "start_time": "2026-05-20T13:46:52.003369618Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "audit.check_effectiveness(df, report)", "id": "c6c165be069c61b", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total corrections : 424\n", - "Total recovered : 1,283\n", - "Correction rate : 0.0918% of all cells\n", - "Recovery vs nulls : 3.3% of initial nulls recovered algebraically\n" - ] - }, - { - "data": { - "text/plain": [ - "{'total_corrections': 424,\n", - " 'total_recovered': 1283,\n", - " 'correction_rate': 0.000918,\n", - " 'recovery_vs_null': 0.033}" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 60 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2807,44 +1550,15 @@ "id": "637f96cbbd1f71fd" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.101370284Z", - "start_time": "2026-05-20T13:46:52.033095408Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "report.record_final_state(df, original_rows=original_file.shape[0])\n", "report.export(\"data/processed/audit/cleaning_report.csv\")" ], "id": "87a13f05e2c98bea", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Report saved: 238 entries → data/processed/audit/cleaning_report.csv\n", - "category\n", - "numeric_distribution 96\n", - "completeness_per_column 41\n", - "initial_null_per_column 26\n", - "outlier_analysis 23\n", - "validity_checks 11\n", - "initial_state 7\n", - "cleaning 6\n", - "station_clustering 5\n", - "data_recovery 4\n", - "pipeline_summary 4\n", - "pipeline_effectiveness 4\n", - "final_state 4\n", - "recovery_summary 3\n", - "data_correction 3\n", - "quality_score 1\n" - ] - } - ], - "execution_count": 61 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2896,28 +1610,12 @@ "id": "e03d8d4c0c4e82d2" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.504980887Z", - "start_time": "2026-05-20T13:46:52.102509820Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_delay_distribution(df)", "id": "51a4c9f44394124c", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 62 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2926,28 +1624,12 @@ "id": "1eccb1ebc6823283" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.636464846Z", - "start_time": "2026-05-20T13:46:52.510026827Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_seasonal_delay(df)", "id": "8a9cffb8335a3e8b", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 63 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2956,28 +1638,12 @@ "id": "ca81f86eb006725e" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.773382170Z", - "start_time": "2026-05-20T13:46:52.639305453Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_top_stations_by_delay(df)", "id": "6d1d2c103af76daa", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 64 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -2986,28 +1652,12 @@ "id": "986e711242633b10" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:52.924121534Z", - "start_time": "2026-05-20T13:46:52.774715006Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_monthly_trend(df)", "id": "822828ead3735bbf", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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a9vTHP9yL888/D/947nksXboUrS2t0KDhmaefgtDJejrLgO3u9s68M2sWHnv0Eeyzz95YvnwFpk45HYsWfYaGdsXY66+/Drffdiv+/e//4MG/PISmpiaomop7fv/7LoeHmUH/P7j2uutRX1/f4f5QN8W/IUOG4PXX/41169bh9/fci7q6OgSDQRx77LH4+c+ujvl6Jvu8TkQmn9dmUbr4OaEoHbu7AUBA+OdHqt8HRERE1DuxaEtERES9wvvvz8Ff/vwAxh98MH7+i//rcrvarbU46qgj4XK5YooZI0eOCN/fzaClrmjQet4oSTNmzMDdd9+FAQMG4Kwzz8THH8+L6fzrzF57jcWIESNw/a9uwIwZM43bjz7qqE63nzV7Nh64/z6MGDEcU6dOgcfjwYcffWTcvzES7dDqbsWnny5K6vMoLi7GUUcdhQcffChmgNKwSHenbteuXfB6fRg6NPZ2ABi2x22bNm6CKIrYsmUz1q/fkPCaTjvtVEyfPgP33vsH4zabzYaioqKE9xWvOXM+gP8BP6ZOCUckjBgxAk88+VTMNqefdioWffYZbr7l1pjbi4qLjEF3idi6dSuGDRvW4fYRI0bEfKz/P+/etTvh/+cTTjgedrsdl19+ZUzH6OGHdx6pkMzzunZrrbHuzz77fI/PZThqa7fG3JaJ53VX2ucRp1uq3wdERETUOzHTloiIiHoFj8eDO+78NR566GF89NHcLreb9/F8yLKMK664POb2n119NVRVxbw9clPjPTYAFBebX+x76+13oGka7r339xg6dAhmvtn9ADIg2pm3Zx7nT6+6stPt//vf9xAKhXDmGWfg9NNOx9y5H8Pr9Rr3f//999iwYSN+8Yufd7jsHQD69esXx5qUTtd09VVXxXysqioWLfoUJ598EioqKozbhw4dismTJ8Vs+977cxAKhXDTjTd2esw9YyE6rElVO6znyisuj4kjMFtLSws++WQhpkyZgjOmToXf78ecOR/ErktROqzr9NNPQ3VVVVLH/HjefIw/+GCMGzfOuK1fv34466wzY7ZbsOATtLS04Lrrru30a9Dd/7PRTd5u3YWFhTj/vPM63T6Z5/V3332P+vp6XHLJxbBarcbtkydPwujRo/Hxxx/HbJ+J53VXPJ7wcYqL4o9RSVaq3wdERETUO7HTloiIiHqN6dNn9LjNhx99hEWffYY7br8NgwbVYMWKH3HM0Ufj5JNPwt//8VzMwLB4ff/9MgDA7bffhnfemYVQMIQPP/oopkCUrIaGBixYsABTp0xBU1MTPv54Xo+PWbt2LTZs2Ii7fvdbVFZWwt3ailNPO7XLDN3du3fj888/x89+djUKCwvxzqxZMfdrmoZbbr0Vr7z8MhbM/xivv/4Gtm3fjqrKShx++OFwu1tx2eWdF4R1brcbixcvwS9/+X+QLRZs374dxxx9NAYPHtRh24cefhRHH3003nn7Tbz00ssQJQlXXH45Vq1aFTNEbdOmTfjLXx7Er399JwYNqsGcOR/A3daGwYMG4eRTTsarr7yGvz37bJdrmjt3Ls4+expaWluwevUajD/4YBx11JFJdbMm4p1Zs/DUk0/gsssuxSefLOwQ5TF37se46aYb8egjD+PLr77CXmPH4qxpZ2HjxsSfmwDw9NPP4Jyzp+HVV17G888/D4/Hi4su/glqt25FcbvnhNvtxp13/gZ//etj+GDO+3hn1izs3r0bAwcOxPHHHYsvv/wKv/nt7zo9xicLF8Lv9+PFf72AV155FS6XEz/5yU+we/cuVFZWdNg+med1KBTCn+67H489+ghmzpyOt99+B+Xl5bjqp1di8+bN+Ps/novZPhPP664sX74coVAIv7zm/1BYVIiAP4BFn32G3bt3J7W/7qT6fUBERES9E4u2RERE1KdomobLL78St956C6ZOmYLzzzsPW2prce+9f0y6sPHdd9/hz395EJdccjEmT5oESZIw4dCJSUUtdGb6jJk44YQTMPvddxEIBHrcPhQK4bLLr8Af/3APrrv2Gvj9frz//hy88K9/4eO5H3X6mFmzZuPoo49Ga2sr5s2b3+H+xYuXYOoZZ+CGX/0KV1xxOZxOJ+rr6/HNN9/i5VdeievzuOba6/DHP9yLyy+7FIIg4JOFC3HRxZfi22+Wxmy3bNkyXHzJpbjrd7/Frbfegrq6bXjooYcwatQojBgxMmbbJ596GuvWr8fPrr4aN90U7jSsq6vDwk8W4sOPPux2PXfd9XuoioppZ50Fm82GL7/8CudfcCFeezW+zydZH34YLuh3VkgEgL8+8SScTifOPPNMTJ06BcuWLcOll16GX995Z1LH27lzJ84593z88Q/34pprrkFjUyNefvkV7Ni+A4888lDMtm+9/Ta279iOa6+5Bv/3i5/DarVh+/bt+OKLL/Cf1zsfUAYA69atx89+/gvcdtut+N3vfov6+p146aWXsXt3Ax599OFOH5Po8xoA3nhjOrxeL6695pf4za/vhMfrxfvvz8Gf7ru/0xzrTDyvO1NfX4877rgT1157LR5+6EHIsoyzzzkXixebX7QFUvs+ICIiot5JqKquyVwgExERERF1cNKJJ+KFF57HmWedjS+++CLby8mafz7/HEaPGY0jjzw620shE/B5TURERJQ8ZtoSERERZdlPLroQGzduyqvClt1uj/l42LChOPbYyVj8+eIsrYjMlo/PayIiIiKzMB6BiIiIKEvOmDoVe+29F044/nj87nd3ZXs5GbX480V4443p2LR5M2pqanDppZcgGAzi6WeeyfbSKEX5/LwmIiIiMgvjEYiIiIiypG7rFrjdbsyaNRu333EnFEXJ9pIy5tFHHsbhh09EeXk5AoEAli79Gg888Gcs++GHbC+NUpTPz2siIiIis7BoS0RERERERERERJRDmGlLRERERERERERElENYtCUiIiIiIiIiIiLKIXkxiKyiogJtbW3ZXgYRERERERERERHlOZfLhR07dnS7TVaLtoceeih++X8/x3777Y/KygpceeVVmPPBB+GFyTJuv+1WHHvssRgyZDBaWlrx6aJPcd99D/T4SbVXUVGBb77+Kl2fAhEREREREREREVFCDjxofLc1zqwWbZ1OB5av+BH//s8b+Ofz/4i5z+FwYL/99sVjjz+OFStWoLi4GPfecw/+9cI/ccqpp8V9DL3D9sCDxrPbloiIiIiIiIiIiLLG5XLhm6+/6rFOmdWi7fz5CzB//oJO72ttbcUFF14Uc9tvfvs7vP/euxhYXY2tdXUJHautrQ1utzvZpRIRERERERERERFlRK8aRFZUVAhVVdHc0pLtpRARERERERERERGlRa8ZRGaz2fCbX9+Jt99+p9uOWavVCqvVanzscrkysTwiIiIiIiIiIiIiU/SKoq0sy3j2b89AEATcceevu932umuvwc0335ShlRERERERERERERGZK+eLtnrBdmDNQJx33vk95tI+8eRTePbv0aFmergvERERERERERFRomRZRnl5OSSxV6WMUhaomobGxgZ4vb6U95XTRVu9YDts2DCcc+55aGxs6vExgUAAgUAg/YsjIiIiIiIiIqI+rX///rjllptgs9qyvRTqRZYsWYLpM2ZC07Sk95HVoq3T6cSwYUONjwcNHoR99tkbTY1N2LFzJ/7x92ex33774tLLLockSSgvLwcANDU1IRgMZmnVRERERERERETU1wmCgAsuOB9t7jb8/bXnEGSTIPVAkmUMHz4MU04/DQDwxvQZSe8rq0XbAw7YHzNnTDc+vuf3dwMAXn9jOh5++BGcdNKJAIC5H30Y87izzzkXixcvydxCiYiIiIiIiIgorxQVFWHE8OF4+ZVXsGHDhmwvh3qJTZs2AQCmnH46Zr/7btJRCVkt2i5evATVAwd1eX939xEREREREREREaWLy+UCAOzetTvLK6HeZv36cJG/tLQfvN66pPbBBGUiIiIiIiIiIqI9iIIAAFBVNcsrod5GCYUARJ9DyWDRloiIiIiIiIiIiCiHsGhLREREREREREREGTVj+hu45567jY//t+RzXHXVT7O4otzCoi0REREREREREVEfUl1dhUcefghfL/0KGzeswxf/W4x77/k9SktLsr00ihOLtkRERERERERERH3E4MGD8f57/8WwYcPwy2uuxRFHHIXb77gTRx55JGbNegclJSVpPb4sy2ndf75g0ZaIiIiIiIiIiKiPuO9Pf0QwGMSFP7kIS5Yswda6OsyfvwDnX3AhqiorcfvttwEA7rjjdrw7e1aHx3/00Qe48YZfGR//5MIL8MmCeVi/bg0WfjIfl112qXFfTU0N6rZuwdSpUzBzxnSsX7cG06adhdLSEjz91JNY+tWXWLd2NT6e+xHOPOOMlD6vRx99BP98/jlcd921+O7br/Hjih9w4w2/giRJ+N1vf4PlPyzDV199gfPPOy/mcdXVVfjb357Gjyt+wPIfluGFfz6Pmpoa4/4DDjgA//n3q/hh2XdY+eNyzJwxHfvtu2/MPuq2bsFPLrwAzz/3D6xbuxqLFi3EiSeckNLn0xMWbYmIiIiIKCNEazEsJaOyvQwiIqKUOFS1yz82TYt7W3uc2yaipKQEkyYdg3+9+BJ8Pl/MffX19XjzzbcwdcoUAMCbb76Fgw46EEOGDDG2GT16NPbZe2+89fY7AICzzjoTt9xyCx74819wzKRjcf8Df8att96Cc889J2bfv77zDjz3/PM4ZtKxWLDgE9hsdnz//TJcetllmHzs8Xj11Vfx178+hnHjxiX0+ezpiCMOR2VFBaadfQ7uuecPuPXWW/DSi/9CU3MzTp8yBS+//Ar+/Of7UVVVCSDc9fvaq6+gzd2Gs6adgzPOPAttbW147dWXYbFYAAAFBS68MX0GzjxzGk6fcgY2bNiAl19+ES6XK+bYN910I2bPfhfHHX8i5n08D08++de0di2zX5mIiIiIiDKi/6F3w15+ALZ9dAVCrZuzvRwiIqKkrNte1+V9c212XNq/zPh42Y5tcO5RnNV9brXinLIBxsdf7NyO/p0Uaaurazrc1pVhw4ZCFEWsXbO20/vXrF2L0tIS9O/fH6tXr8by5ctx1lln4rHHHgcATJt2FpZ+/TU2btwIALjl5ptx771/wPvvzwEAbNmyBaNHj8YlF1+E6dNnGPv9x3PPG9vo/vbss8a///nCv3DMpGMwdcrp+Pbbb+P+fPbU1NSE3/7uLmiahnXr1uOXv/wFHA4HnnjiSQDAE088iWuv+SUmHDIB78yahalTp0AURdx8y63GPm686Was/HE5Dp84EZ8sXIjPPvs85hi33nY7Vv64HBMnHoa5cz82bn/9jel4+51wMfv+B/6Mq676KcaNG4cFCxYk/fl0h0VbIiIiIiLKAAHWfmMBAJbCwSzaEhERpZMgxLXZm2++hQsuON8o2p55xlT8/e//AAA4HA4MGzYUDz/8IB588M/GYyRJQmtra8x+vv/u+5iPRVHE9ddfhymnn47KykpYrRZYrVZ4vd5UPiusWr0aWrsieH39Lqxatcr4WFVVNDY2oqysPwBgn733xtChQ7Fm9cqY/dhsNgwZOgRYCJSVleH2227FxMMnoqx/f0iSBIfDgYEDB8Y85scffzT+7fV60dLSYhwnHVi0JSIiIiKitJOcAyBKNgCAaCvJ7mKIiIhSMKKyusv71D2KpftVVHW5rbbHthMGVKa2MAAbN26EqqoYNWok5szpeP+okSPR2NiE3bt3AwDefucd/OY3v8Z+++4Lu92O6upqvDNrNgAY8QC33Hobvvnm25j9KIoS87HH64n5+Jf/9wtc9dMrcdfdv8fKlSvh8Xhxzz13w2qxpvT5hYKhmI81TUMwFOxwmyCGE2GdLhe+/34Zrr3u+g770r8Gjz/2KEpLS3HXXXejtnYrAoEAZs9624hP6O7Yopi+5FkWbYmIiIiIKO0sBYOMf0u20iyuhIiIKDXeBAp16dq2K42NTVi48FNcdtml+Mc/novJtS0vL8e0aWdh+oyZxm3btm3H4iVLcNa0s2C327Fw4adGMXPXrl3Ytm07hgwZgrfeejuhdRxyyHh88MGHePPNtwAAgiBg+PDhWLN6TcqfYyKWLVuGqVOmYNeuXXC73Z1uc8gh43Hnr3+DefPmAwgPLuvfP30dtPHiIDIiIiIiIko7uXCw8W/JzqItERFRuvzmt7+FzWrFa6++gkMPPRTV1VWYNGkS/vPv17Bt+3b8+c9/idn+rTffwhlTp2LK6afhzbfeirnv4YcfxnXXXoOfXnkFhg8fhrFjx+L8887Dz352dbdrWL9hI44++iiMH38wRo4cib/8+QGUl5V1+5h0eOvNt9DQ2IAXXngeEyZMwKBBgzBx4mH4w733GMPKNmzYgHPOPhsjR47EgQeOw5NPPJFyjIMZWLQlIiIiIqK0sxRGh6iI7LQlIiJKmw0bNuLkU07Dps2b8ezfnsbnny3Cg395AJ9//jmmTj0DTU1NMdu/+9/3UFpaAofDgTlzPoi577V//we33HIbzj//PHw89yPMnDEd5513LjZv3tLtGh5//K9YtuwHvPbqK5g54w3srK/HnA8+6PYx6eD1+TBt2jnYunUrnn/u7/hkwTw8/NBDsNlsaG0Nd97efPOtKC4uxgdz3sdf//o4nv/nP7Fr166Mr3VPQlV1Tecj7PqIgoICrF71I0aP2avLNmgiIiIiIkqv8iMfhH3AQQAA/65l2LnwhuwuiIiIqAc1AwfipptuxCOPPIrarVuzvRzqRbp77sRbq2SnLRERERERpZ1cGM20ZactERERUfdYtCUiIiIiorQSZAdkR7nxsWQryd5iiIiIiHoBFm2JiIiIiCit5IJwnq0aCg/1EK0FgGjJ5pKIiIiIchqLtkRERERElFaWgnA0QrBpLTQlAACQGJFARERE1CUWbYmIiIiIKK30PNtg62Yo/iYAgMiIBCIiIqIusWhLRERERERpZYkUbUPuLVAjRVvJzk5bIiLKbaqmAQAkWc7ySqi3sVitAABFVZLeB591RERERESUVrIej9BaC8XfCIDxCERElPsaGhoQCoVw0okn4IMPP4ISCmV7SZTjRFFE/7L+OP200+AP+FFfvyvpfbFoS0REREREaSQYg8jCnbbhoi3jEYiIKNf5fD48/89/4qdXXomxY8dmeznUi6xbtw5PPf0MQikU+lm0JSIiIiKitJEc5RBlOzQ1iFDbNii+pvDt7LQlIqJeYNWq1bjr7t+jX79+EAUh28uhHKdqGtxuN1pbW6FF4jWSxaItERERERGljWzk2dYBmmLEI7DTloiIegufz4e6urpsL4PyDAeRERERERFR2lj0PFt3LQAY8QgcREZERETUNRZtiYiIiIgobYxO29bNAADF3wQAEBmPQERERNQlFm2JiIiIiChtLEY8whYAgOqLdNqyaEtERETUJRZtKW8Jsgu2sgMAMEiciIiIKF1kPR6hNVy0jWbaFoFvR4iIiIg6x1dJlLdK9v8/DDj6EdirJmZ7KURERER9kiDZITsHAABCeqZtoBmapkIQJIi24mwuj4iIiChnsWhLectaPAwAYCkcnOWVEBEREfVNckENgHCOrRpoCd+oqVD9zQAAyVaSpZURERER5TYWbSlvSY6K8N/MUyMiIiJKCyPPNhKNoFM5jIyIiIioWyzaUl4SRCske/hNgmjnmwUiIiKidJAjRdtgJBpBp+faSnwdRkRERNQpFm0pL0mO8ui/2eFBRERElBb6ELI9O22jw8hKMr0kIiIiol6BRVvKS1JkIAYASPZ+WVwJERERUd9lMTptN8fcrscj8OQ5ERERUedYtKW8JLcr2jJLjYiIiCgdBGMQWYdOWx/jEYiIiIi6w6It5SXJ0a7T1lYMCFIWV0NERETU90iOMoiyA5oaQqhtW8x9KuMRiIiIiLrFoi3lJclZEfMx3zAQERERmcvIs22rAzQl5j6F8QhERERE3WLRlvKS3K7TFuAbBiIiIiKz6Xm2e0YjAO07bfkajIiIiKgzLNpSXmo/iAxgnhoRERGR2WRjCFlth/uMTFte7URERETUKRZtKS/pRVv9TQS7PIiIiIjMZSnoutNWiXTaCpIVgsWV0XURERER9QYs2lLeEa1FECUbNE1FsHENAECy98vyqoiIiIj6FqPTtnVzxzvVINSgGwBjqoiIiIg6w6It5R19CJnqb0TIuzN8G98sEBEREZlGkGyQI6+5Qu6OnbYAoPiaAPCKJyIiIqLOsGhLeUcfQhby7ITq04dglGRxRURERER9i1xQAwBQ/C1QAy2dbqMPI+PJcyIiIqKOWLSlvKPn2SqenUaeGgeREREREZlH1vNsu+iyBdDudVhJJpZERERE1KuwaEt5R4p02ireaNGWl+URERERmcfSXZ5thOpvAsDXYURERESdYdGW8o7s7BiPwMvyiIiIiMyjDyELuWu73EZhPAIRERFRl1i0pbxjxCN4d0DxNwAARFsxIPDbgYiIiMgMFj0eobWbeATOFiAiIiLqEqtUlHdiBpH5W6BpCgRB5BsGIiIiIpPog8jiiUfgbAEiIiKijli0pfwiWiA5ygCEB5EBKlR/MwBemkdERERkBsleBtHihKYqCLVt63I7zhYgIiIi6hqLtpRXJHu4YKsqfqiBcLFWYa4tERERkWmMPNu2bYAW6nK76GyBkkwsi4iIiKhXYdGW8oo+hCzcZRum6l0evDSPiIiIKGUWYwhZ13m2AKBE4hFEiwuCaE33soiIiIh6FRZtKa9InRRtObmYiIiIyDxyZAhZd3m2AKCF2qApAQA8eU5ERES0JxZtKa9IjnIAQMjbrmjrY54aERERkVnkwvAQspC7tsdtoyfPS9K5JCIiIqJeh0VbyiuyswIAoHjbxyM0AAAke7+srImIiIioL7EUDAYABFu7j0cA2sVU2fg6jIiIiKg9Fm0pr0iOTuIROIiMiIiIyBSCaDXiqHrKtAUAxdcEAJAYj0BEREQUg0Vbyiv6ILJQJ5m2zFIjIiIiSo1cUANBEKEEWqBGBo11x3gdxngEIiIiohgs2lJeMTptY+IR2GlLREREZAYjz7a15zxbgK/DiIiIiLrCoi3lDcFSANHiBNB5PIJoKwK/JYiIiIiSZykM59nGE40AtH8dVpKuJRERERH1SqxQUd7QoxEUXyM0NWDcrgaaoWkqBEGCaCvO1vKIiIiIej25YBAAINi6Oa7t2WlLRERE1DkWbSlvSI4KALHRCAAATYXqbw5vw1xbIiIioqRZ9HiEeDttI7m3fA1GREREFItFW8obnQ0h00WHYPANAxEREVGyop22iWXaMh6BiIiIKBaLtpQ3OhtCplN9vDSPiIiIKBWivT9EiwuapiDUVhfXY/ROW9FaBAh8a0JERESk4ysjyhtSHJ22vDSPiIiIKDmWSJdtqG0boAbjeozqb4GmKRAEkd22RERERO2waEt5Q3aUA+ii05bxCEREREQpkfU82zijEcLazRZg0ZaIiIjIkNWi7aGHHooX//VPfL30K9Rt3YKTTzqpwza33nIzvvn6K6xbuwav/+c1DBs2NPMLpT5B77RVOuu0ZTwCERERUUqMTts4h5DpjIgEvg4jIiIiMmS1aOt0OrB8xY/49W9+2+n91/zy/3DllVfgjjt+jdOnTIHH48Vrr74Cm82W4ZVSryeIkBxlAIBQJ5220XiEfhldFhEREVFfIRcOBgAEWxMr2nK2ABEREVFHcjYPPn/+Asyfv6DL+6+66qd4/PEn8MGHHwIArv/VDfju269x8kkn4Z1ZszK0SuoLJHsZBEGCpgaNNwbtqb4GAOzwICIiIkqWxYhH2JzQ44yT53wdRkRERGTI2UzbwYMHo6KiAp8u+tS4rbW1Fd988y0OPvigLK6MeqNoNEI9AK3D/RxERkRERJQC0QLJWQkACLoTybQFVD0ega/DiIiIiAxZ7bTtzoAB4aFR9fW7Ym6v31WPAQMGdPk4q9UKq9VqfOxyudKzQOpVZEf4OdNZNAIQLdqKtmKEz2WoGVoZERERUe9nKaiBIIhQA25jwGu82GlLRERE1FHOFm2Tdd211+Dmm2/K9jIox3Q3hAwId3homgpBkCDaioyODyIiIiLqmRwZQhZ0JxaNAEQHwoq2EjOXRERkKlvZ/nANORlNy/4GNdCS7eUQUR7I2XiEnTvrAQDl5WUxt5eXlWPnzs4LbwDwxJNPYfSYvYw/Bx40Pq3rpN5Bduqdtjs630BTjV+87PIgIiIiSoxs5NkmFo0AwOjMZUwVEeWywtHnwzXkJDiqjsj2UogoT+Rs0Xbz5s3YsWMHjjzySOO2goICHHjgOCxd+nWXjwsEAnC73caftra2TCyXcpzkqADQdactEJ1czGFkRERERImxGJ22WxJ+bDSmiq/BiCh3SZGrAcKRekRE6ZfVeASn04lhw4YaHw8aPAj77LM3mhqbsLWuDs899zx+df112LB+AzZv2YLbbr0FO3bswJwPPsjeoqlX6ikeAQAUfwMsGAbJ3i9TyyIiIiLqE+TCwQCAUGviRVuj05bxCESUw0RruFgrWgqyvBIiyhdZLdoecMD+mDljuvHxPb+/GwDw+hvTceONN+Gpp5+B0+nEX/7yAIqKivDll1/ioosvgd/vz9aSqZfqaRAZEM1TYzwCERERUWIskXiEYGsSmbb+ZgCAIMoQLYVQg62mro2IyAyitSjyd2GWV0JE+SKrRdvFi5egeuCgbrd58KGH8eBDD2doRdQXCbITojV8NrTbeITI8DGReWpEREREcRNtpRAtBdA0BaG2usR3oAahBlohWgsh2kpYtCWi3CPIEC0uAOy0JaLMydlMWyKzSI5yAIASaIGm+LrcTvGz05aIiIgoUZbCcBOG0rYDUINJ7UOJnDznMDIiykWirSj6bxZtiShDWLSlPk929jyEDIjGI4j2knQviYiIiKjP0PNskxlCpuMwMiLKZZI1OnxMv4qTiCjdWLSlPs8YQtZNni3QfggG3ywQERERxctSEO60TWYImU71cRgZEeUuPc8WAAQLM22JKDNYtKU+zxhC1lOnrV60tfdL+5qIiIiI+gpZH0KWUqdtEwDOFiCi3NS+aCuyaEtEGcKiLfV5Rqdtj/EIDQAA0VoCQEjzqoiIiIj6BtmMTlte8UREOUy0tY9HcIHvF4koE1i0pT5P0jtte4xHaAIACKIUcyaViIiIiLogWiC7KgEAwdbNSe+GmbZElMti4hEECYLszOJqiChfsGhLfZ5sdNru6H5DTYHibwbAycVERERE8ZBd1RAECWrQbXTLJoOdtkSUy9oPIgM4jIyIMoNFW+rjREiOcgA9DyIDom8Y2OVBRERE1DNLYTgaIdham9J+FH0Qmb0k1SUREZluzysxRQuLtkSUfizaUp8m2ftBEGVoqgLF29Dj9sYbBhZtiYiIiHpk5NmmMIQMYDwCEeW2jkVbDiMjovRj0Zb6NGMImbcegNrj9sYbBsYjEBEREfXIUjgYQGp5tkB0toAoOyBI9lSXRURkKtG2R9GW8QhElAEs2lKfpkcj9DSETKf6wt24kq1f2tZERERE1FfIhTUAgFCK8QhayAs15APAblsiyj16p60acIc/Zqctmcw17HT0P/RuCKI120uhHMKiLfVp0SFk8RVt9U5bDiIjIiIi6pnFpHgEoP0wspKU90VEZCZ9EFmobSsAdtqS+Yr3uhzOgUfDXnlItpdCOYRFW+rTJIcejxBnpy3z1IiIiIjiItpKIVoLoWkqQu6tKe9P0SMSePKciHKJIEK0hjtrQ+46AOy0JXOJ9v5G45ilaFiWV0O5hEVb6tMkZwUAIBRvp62PnbZERERE8bAUhKMRFM92aGog5f1FO235OoyIckf7IWShtnDRVrCw05bMYy0eYfybRVtqj0Vb6tOMeIQ4O205uZiIiIgoPpKrEgAQcm8zZX96py3jEYgol+hFWyXQAiXQHLmNRVsyj6V4ePTfLNpSOyzaUp9mxCPE2Wkbm6UmpGlVRERERL2fZO8PAFB8u03Znxq54onxCESUS6JDyFo4iIzSwtKu01YuqAFESxZXQ7mERVvqswTJDskWCYyPOx6hKfxYUTZyi4iIiIioo2jRdpcp+1MYj0BEOUgfQqYGWqAGWwGw05bM1T4eQRAlWAoHZ3E1lEtYtKU+S3KUAwDUoBtaqC2+B2khKP4WAIxIICIiIuqOUbT1mtNpawwiYzwCEeUQo9PW3wItyE5bMpcgWiEXhjPig+5aAIxIoCgWbanPkiJ5tvF22eqMiARemkdERETUJcmRnngEdtoSUS4Rbe06bY14BHbakjnkoqEQBAmKvwn+nUsBsGhLUSzaUp8lOysAxD+ETMdL84iIiIh6Jtn7ATCvaMuBsESUi6KZts2MRyDT6dEIweZ1CDRvAABYilm0pTAWbanPSnQImc4YgsE3DERERERdkuxlAEzstDVOnBcBgmTKPomIUqUXbZVAC9RAuGgriBYIkj2by6I+wlI8HAAQbF6PYEukaFs0NIsrolzCoi31WbIznGmbaDyCwngEIiIiom6JlkIIkhUAoPgaTNmnGmiFpioAeMUTEeUOyei0bYGm+KCpIQDstiVzWCKdtoHmdUbRVnZWQLC4srksyhEs2lKfZXTaeusTely0aNvP9DURERER9QVGnq2/GVCDJu1VM7ptOYyMiHJFdBBZc/jvSLcth5GRGdrHI2jBNqPpjLm2BLBoS32YPohM8exI6HFqpFuE8QhEREREnRPt5g4h0yn+JgC84omIckf7QWQAoAbbwrdzGBmlSHJWQLQWQFODCLZsBgBGJFAMFm2pjxIgRzptQxxERkRERGQqKW1FW84WIKLc0n4QGQBjGJlgZactpUaPRgi2bAK0cOxGUB9GVjQ8a+ui3MGiLfVJoq0EgmSFpqlQvLsSeqyiDyJjhwcRERFRp/SirWpy0VYfCCsxHoGIcoIAMVKcVYxOW8YjkDmi0QjrjduMTttixiMQi7bUR8l6NIJvN6ApCT02Orm4xOxlEREREfUJRqatNz3xCOy0JaJcIFoKIAgSAED1R4q2AXfkPg6KotRYisPdtIHmdcZtjEeg9li0pT7JGELmSSwaAYi+WRBEC8+eEhEREXUiXfEIxslzXvFERDnAiEYIthmXr2t6py3jEShFlnZDyHTB1s3QVAWStQiSvSxbS6McwaIt9UnRIWSJF22hBqMTQfmGgYiIiKiD9GXaNgEIR10REWXbnkPIwv/WO205iIySJ8gOWAoGAogt2kINIuSuBcBuW2LRlvqoZIeQ6aLDyPqZtiYiIiKivsIo2pocj6ByICwR5ZA9h5AB7TJt2WlLKbAUhTNrQ95dMScFAObaUhSLttQnRTttdyT1eMXXAICdtkRERESdMTJtze609TEegYhyh2gNd9oq7Tttg23h+xilRynoLBpBF2zZGN6maHgml0Q5iEVb6pP0QWTJdtqyy4OIiIioc6K1CIJoARA90W0WVY9HsJYAEEzdNxFRoiS909bfPh5B77RlPAIlz9pt0XY9AMYjEIu21EelMogMYJcHERERUVeMaAR/kzGYxyx6RJUgSrz0mIiyTrTp8QjtO20jRVtm2lIK9E7bQPP6DvcFm8PxCHLRELBsl9/4v099j2iBZA9n0Sre+qR2ob9hENlpS0RERBQjXXm2AABNgRLpaOPrMCLKtk4zbTmIjFImGnm1nXXahtq2Qw35IEo2yAXVmV4c5RAWbanPkR3lAAA15O0Q6B0v/dI8xiMQERERxUpXnq2OMVVElCuiRduOnbYCrwagJMkF1RBlB1TFj5C7tpMtVIRaNwKIDiwzhSCiYvJTqDj2b0Ak5ohyG4u2+U4QUX7kQ+g3/s5sr8Q00SFkyUUjAIxHICIiIuqKaE9v0da44omvw4goy4xBZDGZtpFOW8nGwhclxVIcHjAWbN4AaGqn2wQiEQl6R64ZrCWjYS0dC2vJKDhrJpu2X0ofFm3znFxQA/uAA+EafHyf+YUjOSoAJD+EDABUf3ioBi/LIyIiIoolpbloG+20LUnL/qn3ECORZ0TZInUSj6CFPNAihTZmb1MyLN0MIdMFWzaGtzWx09ZWfqDx78KR00zb754KRpyF6tNmwlo6Jm3HyBcs2uY5KRIlAPSdS9BkMztt+WaBiIiIKIZetFXT1mnbFD5OH3ltSsmxVx6KgadOR9HYS7K9FMpjoi3caRsbu6dBDeq5tizaUuKscRVtI522JhZt7e2KttaSUbCVHWDavnWitQjFe18JyVaCwtEXmL7/fMOibZ6THQOMf0t95Ey2EY+QQqetMblYskJgwDwRERGRwci0TccgMgCqj/EIBKOYUDB8Cvi2lbKls0FkAKBxGBmlQI9HCDSv73IbvWgrF1RDEK2pH1S0wFq2LwDAV/8tAKBw5Nmp73cPBSOnQbQ4AQCOqonG9xAlh7/98pxe4AT6zuVHeiE6lEKnLdSgkVXELg8iIiKiqGg8wq607F9hPAIhevWcZO8PW9l+WV4N5SNBdkIQZQCA6o8dcK0PIxOtLNpSYkRLIWRnONIx2E3RVvU1QPE3QxAkyEVDUj6urXQsRMkGxdeAxm8eAwDYqyZCdlWnvG+dYHGhcMRZAAA12AZBtMBZc6xp+89HLNrmuZh4hD5StDVjEBnQ7g0DuzyIiIiIIgTjNaPia0jLEfR4BM4WyG/6nAoAHJhDWaEPIVNDPmhqIOY+YxgZ4xEoQXqXbahtG7RQW7fbmhmRYBsQjkbw1X+LkHsLvNuXQBBEFJiYbVs4YhpESwECzevRvOIFAIBr6Mmm7T8fsWib52LiEfrIC2NJ77T17khpP8bk4j7ydSEiIiJKlWgtghAZXpuuoq1qzBbga7B81v6KQMfAowCBb10psyRb59EIQLtOW8YjUIL0IWTdRSPoTC3aRvJs/fXfAABa174JAHANORmCxZXy/gXZacQttKx8FZ4tH0NTArCWjDIK1ZQ4/ubLc5Kzfadt/yyuxByitQiibAcAKN7ULtkz3jD0kQ5kIiIiolQZeba+RkBT0nKMaKdtSVr2T72AIBuvwdWQF5KtJGbqOVEmGJ22gZYO9xmDyKzstKXE6AXM7oaQ6YLNkaJt8dCUjilINtj67QUA8EWKtv6dSxFoXg9RdqBg6Gkp7R8ACkacCdFaiGDLJni3LoQaaIF322IA4cIwJYdF2zwnOfpWpq0UyYZRfLsBNZjSvhR/uHuEXR5EREREYZK9DED68mwBQNWvdpLtEGRH2o5DuUtylEEQRKiKH57NcwEwIoEyzxhC5u+kaMtBZJQka6TTNq6irdFpm1qnqrX/vhBEC0KeHVDathm3uyPdtgUjzkzpagZBsqNw5DkAgJZVrwJQAQBtm+YAAJyDjgMEOen95zMWbfNY+65UoG9kt+oZvSkNIYvg5GIiIiKiWOnOswUATfFBDXnDx+PJ87wkt5tR4amdDwBwVh/JN/2UUUbRttNOW30QGTttKQGCBEvRUABAIK6i7UYAgOwoSyk/2V4+DgDgr/825va2LXOh+BohOyvgqD4q6f0XDJ8KyVaMoLvW+JkNAL6dX0Hx7oJkK4Gj6rCk95/PWLTNY+2HkAGAZOv9nbZ6Rq/irU95X9HJxXyzQERERARE47QU3+60HsfotmVEQl4yrp7z7IR/1zIovt0QrYWwV4zP8soon4iRTFul00zbcKetwE5bSoClcBAEyQo16IHStr3H7bWQB6HIdnqxNxl6vIwejWBQg3BvmA0ARqdsogTJhsJR5wEAWla+Bmhq9E5NRdvmjwAwIiFZLNrmMT3cX88N6wvZrVK7s/Kp4iAyIiIiolhGpq03vUVbxdcUPh6veMpLsjFYeCcAFZ7aTwAAzppJ2VsU5R2pu07bAAeRUeIsMdEIWlyPMSISkhzmJcguWEtHA+jYaQsA7vWzoCkB2PrvDWvpXgnv3zXsdEj2UoTa6uDZMrfD/W2bPgAA2CsmsLaSBBZt85j+YijQuAoAIEjWXn+mUL+UKuTZkfK+ooPI+IOFiIiICADEDGTaAjx5nu+ijRjh1/Se2gUAAEfV4YBoydayKM9wEBmZTS/aBprXx/2YaK7tsKSOaSvbH4IgIdha2+kVyaq/EZ7aeQCAwlFnJ7RvQbSiaPT5AICWVf/udEBpyL0F/t0rIIgSXIOPT+IzyG8s2uYxI//VvRVK5BdRb++2lRyRS6m85nXaMh6BiIiIKCwaj5C+TFsgGo/A12H5ySjaRl7TBxpWIOTZAdHigqNyQjaXRnkkOoisYzyCFuQgMkqc3i0bzxAyXbBZL9oOTeqYRp7trm+73KZ17UwAgKP66Jhh9T1xDT0Fkr0/Qp4daNv0YZfb6QPJGJGQOBZt81j7F0NGV2kvz7WVjE5b8waRhTuQXSnvj4iIiKi300/wq2nOtGWnbX6TI40Y0df0WruIhMlZWhXlm247bQMcREaJs8bEI8RHH0aWdKdtpGjr2/lNl9sEm9fDt/NrCKKEghFnxrdj0YLCMRcC0LtsQ11u6qldADXkg6VoKKylY+JdOoFF27xmZEV56o1uiV4dBSDI0YnGJnTaamrAuOyFXR5EREREQrTTNs2Ztoypym+dzanwbl0AALBXHgZBsmdjWZRn4hlEJsoOQJAyui7qnURbKSR7P2iaahRi4xFs3QxNDUG0FnQYJt/jMa1FsJaMBAD4d33X7bata98EABQMPS2un7GuISdBdpQj5K03Omm7ooXa4K1bFHkcu20TwaJtHtO/4RXvTij+cNFWjLwQ740kRxkEQYSmBKBGhqulyhiCwaItERER5TnRVgJBlKBpqvHaMV30QbmirSStx6HcI1oKw4UwICZ/MdC4CiF3HUTZAXvlYdlaHuURsdtBZO7odoxIoDjo0Qgh91Zoii/+B2ohhFq3hPeRYLetrWwcgHCGrh471BXf9iUIttZCtBbANeSk7ncsyCga8xMAQOuq/wBqsMe16IVdZ82xEERrz4snACza5jExpmirGp22vTceQTYxGkGn/2AT2eVBREREeU7vslX9jYCmpvVYzLTNX0aXra8RmhqIuc8T6bZ11kzK8Koo3wiSHaJkA9B5pi2gchgZJSSZaASdEZEQKfzGyz5gHADAX/9tHFtrcK+LdNuOnAZA6HJL1+ATIDsroPh2o23je3GtxV//LUJt2yFaC+CoPiKuxxCLtnlLsvcLd0qoChRvQzQeoRe/MNYDsxXvDtP2yWFkRERERGFGDFWah5CFj6G/BitJ+7Eot0TnbnR8Te+pnQ8AcFQeCkF2ZnRdlF/0LltNCXTZFal327LTluJhiRRtA0kUbQMt68P7SHAYmd5pG1/RFmjb9AHUQCssBTWwV3VxRYMgGl22Lavf6HByrWsa2jaHh5UxIiF+LNrmKaPL1rcLgNou07b3dtqaOYRMp79hEHvx14WIiIjIDJKjDED682wBGFFXorUQEC1pPx7ljujcjY6v6YPN6xFs3QxBssJRdXiml0Z5RLR1PYRMpwY5jIziF+20XZ/wY4MtGwAkFo8g2vvDUjQEmqbC10OerU5TfHBv+C8AoHDkOZ1u4xx0HOSCaii+RrRteDfu9QBA26Zw0dY24CCj6Y66x6Jtntoz3N+Y0NuLi5Oy0WlrfjwCO22JiIgo3xlDyHy70n4sNdgKTQ1Poma3bX6RnBUAYoeQteepXQAAcNZMztSSKA/pnbZKt0XbtvC27LSlnogWyIWDASQZj9C8EQBgKRwc9+A7e/m48GOb1kALurvfuB33+rehqQrs5eOM7uAoEUVjLgYAtK6Znlg2LwDFsw2++m8hCCKcg49P6LH5ikXbPGWcwY6E+6u+cMdEX+i0VTz1PWwZv2gHMou2RERElN+iRdv0d9oCHEaWr6LvU7ov2torDobAYhmlidTNEDKdGmCnLcXHUjQUgihBCbTEDFiMl+LZDjXkhSBZIRcMjOsxtvIDAQC+OKMRjGN56+HZ+gmAjt22zppJsBTWQPE3w73+nYT2q2vb9AEA9DzsjACwaJu3JGckHkHvtDUybUviPnOTa3p6gZcMowOZnbZERESU5zKZaQvwiqd8tecVgXsKtW5CoHk9BNECZ/WRmVwa5RG907bzIWRh+iAynjygnlgjA8SCTYl32YZpCUck2MsPAAD4679J+GjutTMAAM5Bk9tdjS2gaGyky3btjIS7bHXerQuhBj2wFNTA2n+/pPaRT1i0zVPSHlECaqD9JWi984Vx9FIq8waRqT6+WSAiIiICAMkR6bTNQKYt0G4YGa94yivRQWRdN2LoA8kYkUDpIibSacuiLfXAYuTZJlu0BYItGyP76rloKzkrIbuqoakh+HctS/hYgcZV8O/+AYJoQcGwqQAAx8CjYCkaAjXQCve65LpsgXBurt7Jy27bnrFom6fkSKdtyGjN13p1rq1gcUG0hCfIJnO5QVeiXxO+WSAiIqL8Jtojg8gykGkLtBtGxpPn+UOQjBiO7oYLeyMRCbbyAyFaizOxMsoz+iAyJdBdpy3jESg+etE2kMQQMl2wOf5OWz3PNtC4MumO2NY1MwEABcOnQJBsKBp7Sfj2tTOhhdqS2qeubdMcAOG4BUGyp7Svvo5F2zxldNq2ezHUm3NtZVc1gHD2mab4TduvflmeKNkgyE7T9ktERETUu4hGx2vmMm15xVO+kRxlEAQRmhIwivadCbXVIdC4GoIowTHwqMwtkPJGPJ22+nAndtpSTyx6PEJKnbbxF22jebaJRyPovNsWIdS2HZKtBP0P+Q2sxcOhBt1oXfdW0vvUBXb/gKC7FqLsgGPgMSnvry9j0TYfiZZoJlm7y46il6D1vqKttWQ0gFQyYjqnKX6oQQ+A3vl1ISIiIjKDaC+BIEjQNAWqrykjx9RjqjiILH/EzqjQut1WH0jGiARKBynSwd19PIJetGWnLXVNcpRDshZBU0MItm5Kej960VZ2VfXYnap32vp3fpv08aCpcK97GwDgqD4CANC67m3jZEWqOJAsPikVba1Wq1nroAySHOFL21TFH/NLKDqMrPd1M1hLxwAAAk2rTN+34g9/XXhpHhEREeUr/ZL1cCFVzcgx2WmbfxKZUeHZugAAYCvbH2Lk+UlklkQGkYlWdtpS14w829bNgBpMej+qvwmKrxGCIMJSNKTL7eSCGkiOMmhKAP6G5UkfDwDcG98zmtjUkBfutTNT2l97ns0fQdNU2MsPgOSqMm2/fU1CRdvJkyfhscceweLPF2HTxvVYt3Y1Vq1cgZkzpuP6669DRUVFelZJppI7iUYA2hUne+GLHmtpuNM20Gh+0ZbDyIiIiCjf6UXbTEUjAJwtkI/0IWTd5dnqFM8O+HevgCCIcA48Ot1LozyT2CAydtpS16LRCMnn2eriiUjQoxH8u5enVCQGAC3UBveG2QDCWbbdfT8kSvHWw7dzKQDANZjdtl2Jq2h78skn49NPP8EjDz8EJaTgqaefwVVX/ww/uehi3HLrbViyZAmOOupILP58ER544D7062fOZeSiKOLWW2/BksWfYd3aNfj8s0W44YZfmbLvfNbVRFa1l07oFUQrLEXhH4TpKNoaXR697OtCREREZJZsFG1VdtrmHVnvtPX2XLQFAE/tfADhYTZEZkpoEBkzbakbVr3TNoU8W108RVu7XrRNIc+2veblz2HnJzegZcW/TNlfe9GIhBMBCKbvvy+Q49nol7/8BX7/+3swb958aFrHbKHZs98FAFRWVuLKKy7H2WdPwz/+8VzKi7vmml/isksvwa9uuBGrVq3GAQfsj0cfeRitLS14/p8vpLz/fCU5ygGEz2y0p/TSQWSW4hEQRAmKr7HD52QGYxgZ3zAQERFRnpIcetG2IWPHVCKDqERbEcK9JpmJZaDs6WxYcne8WxeiZP//g63/vpAc5Wl5L0B5SLRAlB0Aeui0jYlH4M8o6pyleCQAIGBG0ba5p6KtAFskzzaVIWQxNBX+3cvM2dcevHWLoAZaITsrYCs/EP76r9NynN4srqLt1KlnxrWz7du34777H0hlPTHGjz8YH3zwIT7+eB4AoLa2FmeecQbGjRtn2jHykRHwv2c8gpFp27uKtkaebRq6bIH2A9pYtCUiIqL8ZHTaendl7JiqvwmapkIQJIi2IqiRIi71XXIC8QgAoPh2wb/7B9jL9odz4CS0rp2ezuVRntCHkGmqAi3Y1uV2+iAyABAtLqPzlkgnSHbIBdUATI5HKO68aGspGgbJVgw15E1bfcRUahCe2nkoGH4GXENOYtG2EykNIgPCEQb77LM3iouLzVhPjK++WoojjzwCw4eHn5B7770XJkw4BPPmz+/yMVarFQUFBcYfl8tl+rp6u2g8wp6dtnpuWC8t2qZhCBnAIRhERERE2YhHgKYaXW58HZYfjE7bOOMRAMCrRyQMmpSOJVEeiifPFgCghaCGvAAAgcPIqBOWomEQBBGKr8G4gjcVwZaNAMJXR4vWjjU4vcvWv+t7QFNSPl4m6BEJjoFHQbCwfrenhIu299xzNy684Pzwg0URb86cjg/mvI+vvvwfJk48zNTFPfnkU3jnnVlY+MkCbNq4Hh9+MAf/eO55vPXW210+5rprr8HqVT8af775+itT19QXGPEIe5zBVvVBZLIdguzM+LqSlc4hZEC7eAR22hIREVGeykrRFjC6a0VbSUaPS5knWAogWsLvQeKNRwAAz9ZPoWkKrKVjOYGcTBGOZImjaIt2EQkcRkadsJSE82zNiEYAAE3xIeSuC++7k4gE+wA9z/ZbU46XCYHGVQi2bIQo2eCsmZzt5eSchIu2p512Gpav+BEAcOIJJ2DQoME4+phJ+Ps/nsMdt99m6uKmTpmCadPOwjXXXIeTTj4Vv7rhRvziFz/Hueee0+VjnnjyKYwes5fx58CDxpu6pr7AiEfY4wy2pviNXzq9JddWkB2QCwcDAAKNq9NyDCMegR0eRERElKeykWkbPh5fh+ULPRpB8TVCUwNxP071NxoFCufASWlYGeUbvdO2uyFkOjUQGUZmZdGWOrIWhwemB5vMKdoC3UQkCCJsZfsDMDHPNkPaNs0BALiGnJTlleSehIu2/UpLUV8fLvYde+xkvPvfd7F+/Qb85z+vY+zYsaYu7ne/+w2efPJpvDNrFlauXImZM9/EP/7xHK679pouHxMIBOB2u40/bW1dZ9DkI0F2RoLSOz+D3dteGFuLR0IQRIQ8O0y53KAzRmxEL/maEBEREZlKEI1O10xm2gLstM0nkqMCQGLRCDpP7QIAgLNmkokronwVdzwC2nfa8rJu6shSHO60DZrUaQsAAb1oWzQ05nZrySiIlgKogVZTi8SZ0LZ5LjRVgWTrx4iEPSRctN21axdGjxoNURQxefIkLFz4KQDA4XBAUczNzLA7HFC12AmMiqJAEFOO4s1bejSCGmiFpvg63K93T4iRS+BynbU0fKIgXV22QLt4BNkOITJFlIiIiChfiLZSCIIETVWg+nvuPDOTMVuAMVV9XqJDyNrz1i2CpoZgLRkJuWCQ2UujPKMPIovn552md9oyHoE6EGApCnfamhWPAERzbfV962zl4WgE367vAKjoTVR/I3bM/wW2fXBxt8P/8lHC1c/XX38Df/vb05g/by40TcOnny4CABx04IFYu87cav5HH83F9ddfh+OOOxY1NTU4+eST8fOfXY05788x9Tj5pKcXQ3qubW+JR7CkOc8WCOfG6AHzvaUDmYiIiMgsRp6tvwGZfiOoF215xVPfl8wQMp0aaIFv51IA7Lal1CXVact4BNqD5KqEaHFCUwIIubeYtt9g83oAHTttjSFkvSjPtr3w56Vlexk5R070AQ8/8ihWrlqF6upqvPvuuwgEwnlDiqrgqSefNnVxv/3t73Dbbbfg/vv+hP79y7Bjxw68/MqrePTRx0w9Tj6Jvhiq7/R+vdO2t3QzWEvHAAACTenrtAUA1dcIscARfsPQVpfWYxERERHlEiPP1pvZIWRANB6BJ877PimFTlsgHJHgqDwUzprJaFn5splLozwj2iKdtgnFIxSkdU3U+1j1aISWjYBm3gnPkLsWmhqEaHFCclZA8ewABBm2/vsBAPy9LM+Wupdw0RYA/vvf9wAANpvNuG369BnmrKidtrY23H33Pbj77ntM33e+kpzheISuzmBHi7a532krWApgKRgIIL2dtkC4y0MuqO4VXxciIiIiM+mdtqov80VbY96CvSTjx6bMMgaRJVm09dZ9Bk0JwFI0BJbiEaZmSFJ+iXbachAZJU/PszUzGgEAoCkItm6BtXg4LEXDoXh2wNpvL4iyHYqv0YhPoL4h4XgEURRxww2/wtKvvsSa1SsxePBgAMCtt96CCy843/QFkrlkR/dnsI2hW72gOKl32QbdW6FFznCmS2/rQCYiIiIyixGPkIWirR7dxXiEvi96ReCOpB6vhdrg3b4EAOAcdLxp66L8I0YybRV22lIKokPI1pu+7z0jEuy9PBqBupZw0fZX11+H8849F3/8058QDAaN21etWoULf3KhqYsj8/UUj2Bk2tp6QdG2JP15tjqVeWpERESUp7JZtFUYj5AfBMmI4Ug2HgEAPJvnAgBcg45FEm91iQAAkt5pG8cgMpWDyKgLRjxCGrr+gy0bAACW4mEAonm2PkYj9DkJ/yY755xzcNvtt+Ott96GoijG7SuWr8DIESNMXRyZr+d4hPCL8d4QA2B02jamN88WaDe5mG8YiIiIKM9kNdM2chWYIFkhyK6MH58yQ7L3hyBI0JSAkWOcDO+OL6AEWiA5ymAbcKB5C6S8ktwgMv58oijB4oLsqgSQhngEwIhAsBQNgyDZYOu3NwB22vZFCRdtKysrsWHDxg63C6IIi8VixpoojeKOR7AVI9fPTltL9U7blWk/VjQ2gkVbIiIiyi/Z7LTV1IBRFNGLx9T3SM4KAEDIW4+UpoerQXhrFwAAXIxIoGQIEkRrOOogrqJtpNNWYKcttWMtGg4ACHl2pCXK0YhHKBwMW9kBECQrQp6dCLVtNf1YlF0JV+XWrFmNQw+d0OH20087FT/8sNyURVF6iLYSCJIVmqZC8e7qdBvV3wxNUyAIEsQcHvgg2kohOyugaSoCzWvTfjyVnbZ5TZBs6Df+Tjiqj8j2UoiIiDIum0VbAAi1bQcAyK6qrByf0i/VIWTttUUiEhzVR0KQ7Cnvj/KL3mWraSrUQM/FtmimLYu2FCUXDgIABFs2pWX/incn1GAbBFFGwbDTAbDLtq+SE33Ao48+jsceewRVlZUQRRGnnnIKRowYjnPOORuXXXZFOtZIJpEc4WgE1d8IaKEutlKh+psg2ftDsvWDGhnAlWv0LttQ62ZoIW/ajxedXMyibT6yV06Ea/DxsFccAu/2LwA12PODiIiI+gJBgmgrAZDFoq17K6wlIyG7Bmbl+JR+0bkbqRdtAw3LEWqrg+yqhqPqcHhq56W8T8of0WgENwC1x+1j4xEEpNQpTn2GfpIx1FaXtmMEWzbC1n8f2KsmAmCebV+VcKftBx9+iMsuvxJHHXUkPB4Pbr31ZowaNRKXX34lFn76aTrWSCaJRiN0PoRMp0QKtbmca6vn2QYykGcLcBBZvpMcZeG/bcVwVh+V5dUQERFljmQvhSCI0NRQXEN50kG/3FMuqMnK8Sn9ZD0ewYROWwBo2/wxAMA5mBEJlBhjCFkgvp93mh6PIEgQZGfa1kW9S7Rouy1tx9CHkQlCuKzHTtu+KeFOWwD44osvcMGFF5m9FkozyRnfGexo0TZ3C5TWEr1om/48WyD6NRFlBwTJDk3xZeS4lBvan8BwDZ/Cjg0iIsob0WiEBmSrgyzk1ou21Vk5PqWf8T7Fs8OU/Xm2zEXxXpfAPmA8RFup0YBB1BPRFv8QMiCcu60pAQiSFaK1AEqoLZ3Lo14iI522zRui/3ZvNeVKBco9CXfaLv58EUpLSzrcXlRUhMWfLzJjTZQmejxCT1lRRoHSnrvDHjLdaaspPqiRGAYOI8s/UrvvBXvZ/pALh2RxNURERJkjZjnPFgi/GQUASwHjEfoq44pAk4oOIXct/A0/QhAlOGsmm7JPyg+itRhA/J22AKAGw922oqUgLWui3kdyhk8yKhnotAUAP6MR+qyEi7aDBg2CKEodbrdaraisrDRlUZQe0RdD3ccj5PrQLclRDsleCk0NIdi8LmPHzfWvC6WPXrRVgx4AMMLeiYiI+rpsDyEDovEIkrMCEJK6UJBynBSJRzCr0xYAPJs/AgC4GJFACYhm2sbXaRvelsPIKEqwuCBFOrYzEY8AAD5GI/RZcb/qOfGEE4x/T5p0DFpbWo2PRUnCUUcegdraWnNXR6aS4pzKqnjDL8pzNdNW77INtmyApgYydlzF1wTZVZ3TsRGUHpIj/IbVvf5tFI35CVyDT0Tz8ucZk0FERH2e/jtQf32YDaqvAWrIC1F2QHZVIuTmew4zuYacjILhU7D7iz+l9VLerggWF0RLOAtU6aG5JBGe2gUo2f+XsJaOgVw4GKHWzabtm/ouvdNW8SdQtNU7ba3stCVAdoajERRfY1rfL6qBFvgbVkB2VsG/c2najkPZFXfR9p//fA4AoGkaHn/s0Zj7gsEgamtrcc+9fzB3dWQqIx6hp0xbvx6PkNtF20xFI+gUDiPLW/oJjLbNH8Ex8BhYCgbCWTMJbZvmZHllRERE6SXZw8M41Sx22gLhXFtryUjIBTUs2prMNWwKrKVjUbz3ldj95R8zfnzZEemy9TdBU/ym7VcNNMO340s4qibCNeh4NK/4p2n7pr5LsiU2iAwA1CA7bSlKdoWjEdLZZaurX3gzIFqgMUu5z4o7HqFm0BDUDBqCrVu3Yv/9xxkf1wwagmHDR+Kooydh7tyP07lWSoUgGp0SPcUjKL5IDECuFm2NIWSrMnpcIx4hR78ulB6CZDfyqRTvLrRteBdA+A0OERFRX6e/7slmPALQbhiZi8PIzCY7w40djppjIBfUZPz48V4NmIy2zXMBAM5BxwEQTN8/9T3RTNsk4hHYaUvIzBAynaYGWLDt4xLOtD1s4hFoaOT0zd5GspdBECRoahBqZNBYV/T7JVtuFietpaMBAIGmDHfaGl8XdtrmE/3NqhryQgt50LbpA2hKALZ+Y2EpGZXl1REREaVXLmTaAtFc22wUFfs00WL8HwuCiKIxF2V8CbLT3CFk7fm2fQ412AbZVQlb/31N3z/1PdFM22QGkbHTltoXbdPfaUt9X8JJ/jfe8Ktu73/0sceTXgylTzQaYRcArdtt9RflosUJQbLnVG6n7KqGaC2EpgQQbN7Q8wNMpDIeIS/t+WZVDTTDs3UhXIOPR8Gw09H4zaPdPZyIiKhXM34PZjHTFoh22loKBmZ1HX2NHn+haQoEQYJz0HFo/vElKJ7MFRskR/o6bTU1AM/WhSgYegqcg4+Hf/cy049BfYtRtE0k05adttQOi7ZkpoSLtqeccnLsDmQLBg8ehFAohE2bNrFom6Mk4wx2z+H+muIzhj2I9lIoOfTDxqLn2TavA7RQRo8djY1g0TafiJ28WXVveBeuwcfDOeg4NC37Oy9JISKivkmQjdc9im9XVpcS1OMRChiPYCajy9W9DSFPHRwVE1A05oKMnpROZzwCAHg2zw0XbQdOQuN3TwJqMC3Hob7BGESWSDxCpNNWsLBoS4AUKdoqWRjsSH1PwkXbE086pcNtBQUFeOzRR/D+HA7lyVWy3mkb54shxdcAsWAgJHv/nCra2kqzk2cLcBBZvtKzoNvHigR2L0OwZSMsRUPhGnwc3OtnZWt5REREaaMXbDU1mFC+Yzro8QiSswIQ5IyfvO+rolfj7UDLylfhqJgA15CT0LLyFShxNHuYQXbozSU70rJ//67vEPLshOwcAEflYfDWfZqW41BfIBrdskll2jIegQQRsjM8XDGUwSsWqO9KONO2M263Gw89/Ahuu/UWM3ZHaWCcwY4zKypXc20tJZE828bM5tkCgKp32rJom1e6yvJzr58NgAPJiIio74r+Dux+HkImqL4GqEEPBEEyLj2l1BlX43l2IrD7B/jqv4UgWlA46ryMryFdnbaABs+W8MBs5+AT0nQM6gtEawEEIVwiSaRoqwUZj0BhkmMABFGGpgSyHitEfYMpRVsAKCosRGEhzyzlKiMrKs4z5sbQrZyKAhCjQ8gaV2b86EanbSTrl/JDV0Xbti0fQQ35YC0eDmu/vbOxNCIiorTSrzbJlTee0WFkzLU1i7zHe4SWla8AAFzDTsvM1WWCCMkRztVNxyAyXdvmjwAAjsoJRmYp0Z6iQ8jcgKbE/TgOIiOdkWfr2Y6eZgkRxSPheISfXnlF7A2CgIoBA3D22Wdj/vwFJi2LzKbHI4TijUfwh4u2oj13Om3lwkEQZQfUkBeh1i0ZP74W8kBV/BAlG0RbaUYHNFD2SJHvgT2LtlqwDZ7a+SgYegoKhk1BQ8OKbCyPiIgobfQhVdnOs9WF3HWwloxi0dZEe3a5+uu/gX/3ctj674PCUeei+Ye/p/f49jIIghSO4Ihc1ZYOodZNCDStgbVkFBwDj0HbhtlpO5ZpRAskW2ncV0pS6qJF28TiYKLxCOy0zXccQkZmS7hoe/XVV8V8rKoadjfsxvQZM/DEE0+atjAyV6LxCNFO2/5pW1OirHqebdMaAGpW1qD6GiC6qiDZWbTNF1112gJA24bZ4cEWNZPQtOyZrOf9ERERmSmX4hGAdp22LhZtzaJn2rbvcm1Z+QrKj7gfBcOnonX1f9L6+iZaNK5HurvS2jbPhbVkFFyDj8/5oq1oKUT5UQ/DUjwUO+b9EsHmtdleUl4QbfoQsuaEHmd02lrZaZvvokVbDiEjcyRctD1s4hHpWAelkSBaIdlKAOgviHpm5LfmUDyCHo0QzEKerS7k2QnZVQVL4RAE2FmZF4w3rJ1cGhpoXGV0bTgHnwj32hmZXh4REVHaiF1cbZItIXctAMDCTlvTyJ3kyfp2fIFA42pYS0ejYOTZaFnxQvqObwwhS383qad2Hkr2+xls/feF5KrKqWHL7QmyA2VH3A9ryQgAgLNmMprTVLQVJDsKx1wAz+aPEXJn/krGXCMl3WkbLtoKogxBskNTfKavjXoHdtqS2UzLtKXcpZ9BV0Ne4yxgT/R4hFwaRGZ02mYhz1bn3/U9AMA24KCsrYEyR5BsxkCBrrqM9IFkBRxIRkREfUyuZdoG3eHOJcYjmEOQXcbl3HvOvWhZFc62LRxxJgSLK21rSP8QsijV1wDfzq8BAK5Bx6f9eEkRLSg77A+w9dsLmhrOVHVUTUzb4QpHX4DisZegeJ8r03aM3kS0hjttVX9inbaa4oOmhiL7YERCPmPRlsyWcNHW4XDg1ltvwax33sJniz7F4s8Xxfyh3JPMiyG9QJUzmbaCBGvxSABAIIudtr6dSwEA9gEHARCytg7KDP35r4a80EJtnW7jqZ0HNdgGS2ENbOXjMrg6IiKi9Mq9TNtwp63kHACIliyvpveTneHGDsXf0qEz0Fv3OQLN6yFaClA44qw0rkHvtN2RtmO059k8FwDgHJyDRVtBQtmhd8E+4ECowTbUf3YbNDUIS9EQyAU1aTmkc+DRAABL0dC07L+3STbTFgDUoJ5ry4iEfCY5qwEgZzv5qfdJOB7h4YcexGGHHYaZM2dix86d0DROxMt10h5TYeNhZNraShGu7WcnQ1ZnKRoGQbJCDbiNPLNsCDSsgBr0QLKVwFI8gvlSfVz0zWrXWX5ayAvPlrkoGH4GCoZNgb/+2wytjoiIKL30iCA1RzJtVX8j1KAHosUJ2VnJy7lTFH2P0Fljh4aWVa+hbMJvUTDibLSunQkt5DV/Dc6K8Boy0GkLAN66RVBDXlgKamAtHZvVK/hiieg3/nY4qg6Hqvix6/PfwL97Gfz138FeMR6OqoloXTPd1CPKhUNgKRoS/rerGhAkQFNMPUZvo2faJlW0Dbgh2Up6zzAyQYat/IDwe5c8/383i2BxQbKFC//stCWzJFy0nTx5Ei699HJ8+dVX5q+G0kI/i55IVpTqb4KmqRBECaKtCKq/KU2ri4+eZxtoWpXVdUBT4N/1HRxVE2GvGM+ibR8n6Z22PbxZdW94FwXDz4Cj+kiItlKo/vRNPyYiIsoI0QJJH8qTI5m2QHgYmbVkFOSCGhZtU9TToGJv7ScI7nUZLIWDUDBsKlrXvG7+GhyZi0cAwpexe+s+g2vw8XAOPiFniralB/4KrkHHQVND2L3k9/DvXgYA8G77HPaK8bBXHW560VbvsgXCWayyqzrvv6f0TttEB5EB0WFkQi8ZRlY44iyU7P8LtKx6Dc3Ln8/2cvoE2RXpsvU1MteYTJNwPEJzczMam5rSsBRKl6ReDGmKkeWTC7m20TzbLBdtsWdEAvVl0anZ3V8WGmxeD//u5RBEGa6hp2RiaURERGkVvtoK0JRAUl1n6RJyh6+4kguqs7yS3s8YAtbloGIVLateAwAUjjoXgmQzfw3OzA0i03k2fwQgPOALgpSx43aleN+foWDY6dA0Bbu/vA++HV8Y93m3LQYA2PrvYxQUzeJoV7QFAEvRYFP33xulFo8QLtr2lngEa9m+AADnoOOyvJK+Q3bqebZ1WV4J9SUJF23/8uBDuPXWm+Gw29OxHkoDSc+rSiAeAWifa1tq+poSFS3aZi/PVqcXbW3994MgWrO8GkqnaNG258tC3RsiA8mGngbOeCQiot5OcugRQbnTZQtE3wxbOIwsZfqw4q46bQHAs+VjhNq2QbKXwjX0NFOPHzMILUOdtgDgq/8aiq8Bkq0Y9ooJGTtuZwrH/ARFo88HADR+/Si8Wz+JuV/x7kSgaS0EQYK98lDTjisX1MBaPByaGoJ325LIbSzaSsYgsuTiEQBATOPgPjNZCocCAGRnhfFem1LDIWSUDglXFn7x859h0jHH4LvvvsHHcz/CB3Pei/lDuSd6Fj2xF0OKP5Jrm+1hZKIFlqJhAHKj0zbUuhkhbz0EyQpr2X7ZXg6lkf7cj2dqtrf2EyiBFsiuStgrxqd7aUREFBcB1tKxOdFN19skcuIyk/RhZLKLRdtUxTWsWFPQsurfAIDC0eebOgBO77JV/M2ZvZRYU+HZMg8A4BqcvS7DguFnomSfnwIAGr9/Gm2b3u90O73b1lF1uGnH1rtsfTu/hr9hOQDAUsiibSqdtpreadsL4hEE0RpztYKj+qgsrqbvYNGW0iHhTNs5cz5IxzoojbofMtA11RfO5dRftGeLtXgEBFGG4mtM+HNIF9+Or1Aw9BTYBxwMf6TzlvoeyaG/Ye25aKupAXg2fYjCUeegYPiUmEvbiIgoOwpGTkPp/r9E07Jn0brmjWwvp1cxTlzmWKdt0IhHYNE2VUZjRw+vr9s2f4iisRdDdg6Aa8hJaNvwrinH7ylTN53atsxF4ahz4Kg6AoLsghZqy+jxnYNPROm46wAAzT++CPfamV1u6932OYr3ugT2ikPCRXM1mPrxI0Vb79aFUIPhDlGZRdsU4xHCzyEzBpEV7/sz2PrtjfpFt0FTAynvb09y4WAIQrR/zzHwKDQvf8704+QbFm0pHRIu2j7y6GNpWAali2BxQbQ4ASQfj6BnmmWLEY2Q7SFk7fh3LjWKtonH1FNvEe0yiu8Nq3vDbBSOOgf2ykMhOQbkzEkGIqJ8pRcmbOUHsGibICMewdt9rnum6Zm2knOAaQWs/CREI9R6uhpPDaJ19esoHXcdikZfiLaN75sybV5K8mpAMwSb1iDYshGWoqFwDjwKbZvmZOzYjuoj0e/gWwAArWtmoOXHl7rdPti0GiHvLsiOMtjLx8G348uUji+5qmAtGQVNVeDd9hnEyHs9S+GglPbb2wkWFwQxfFVGUoPIAmZ12gooHHFW+KrO/vvAX/9NivvryFI0FEA4elAuGgJLQQ0sRcMRbFlv+rHyiRQp2irMtCUTMXixj9PPoIcvO/In9Fi9UCVmOR4hl/Jsdb7IL09ryUjjhQ71PYleGhpy18JX/y0EQYJr6KnpXBoREfVAkF2wlu4FIJrdR/FL9MRlpqj+RqhBDwRBguyszPZyei3RVgJBtEDTlB4HrgJA28b3oPgaIbsq4Rx0vClrMOIRPDtM2V+i2jbPBQA4B5+QsWPaBhyM/hN+C0GQ4N74PpqWPRPX43zbPgcAOKomprwGZ3X4ZJZ/17dQAy0ItdVBUxWIFhfELF9hmU1Gl23Im9TJIL1jOdVBZJKjHIIUnpuiRwSaTS/a+ht+hG/HVwDC3baUAkGE7KwAAIQ87LQl88RVtF3+wzL0Kw0XplYsX4blP3T9h3JLKpcdKX49HiFXira502mr+psQaFoDALCXH5jl1VA6CKLVOFMez5sZnXu9PpDsFGYoEhFlka38AKNrSnZVQpA4RDcRuZppCwChNj0ioSbLK+m9jIKpdzegqT1ur6kBo1u9aMxPYEbvT7IRbmbxbPkYAGAvH2esJZ2s/fZB2WH3QhAt8NQuQOPXj8T9WD3X1m5Crq2eZ+vZujB8gxo0LufO527b6BCy5K6jjHbaphaPILf7P7AUp7doG2rdCG/keeBkrm1KJMcACKIMTQnENQ+FKF5xxSP8/p574G4LZ7Tc/ft70rogMld0Kmxi0QgAoPqyP4hMkOxGvlIuFW2BcHC/tWQU7BUHw1M7L9vLIZPpnQaq4ocWjD/nzFu3CIqvEZKjDI6qifDWLUrXEomIqBv2AQfHfGwpGpJzryVymZijmbZAOCLBWjKKubYpiBZM43+P4F4/C4WjL4SlsAbOmmPgqZ2f0hqiXWnZKdoq3p3w1X8Le/k4OAcdi9bV/0l9p6IForUIkrUQorWo3Z9iFI25AKJsh3f7/7D7y/sB9Fws1/nqv4Ea8kJ2lMNSMgrBSPNIoiTHANj6jYWmqfDWfWbcHnJvhqWwBpbCIfDXf5vUvnu7VPJsAUDVB5Gl2GlraXcyKt2dtsGWjQg0r4OmBmEpHga5oMYY9kiJic2z1bK7GOpT4iraTp8+o9N/U+6TU8iKimbaZq9oay0ZBUEQEfLshBrp/M0Vvp1LUTT6fNj2eFOYSYLsgL1iApzVR8FSMhKN3z3BwWgm0U9WqImeKdVCaNv0PorG/AQFw6awaEtElCV60VZTAhAkKyxFQ1m0TYBkz81MWyCaa2tpN/2cEmNcjZfAewRN8cG9dgaK97kSRWMugqd2AVIpTiSzBrN5Ns+FvXwcisZeDNeQk6GpQUBToKkhQA1BU0PQtBCgKpH7QtBUBdBCECTbHoXZIoiyo9vj+XZ9j93/uwfQQoktVA3Ct+NLOAceDUfVxKSLtnqXrX/X9zHvrYItm+GoOjymyzPfiLZwp20yebYAoAb0eARXSuuQY4q2QwEIMLMIKEh2o8AYbNkILdgG385v4KicAMfAo9G66jXTjpVPjKItoxHIZAkPItP1798fZWVlEEUh5vYff1yZ8qLIPNF4hMQ7bfWirWgtgCBa0zK5sicWYwhZ7uTZ6gK7lkFTApAd5ZALhyDUuikjxxWtRbBXToRz4JGwDxhvZB4BQPHYS7CTRVtTSI7ks/zcG95D4egLYK8YD8lZBYW/vImIMkpyDIClcBA0VYGndj5cQ06CzFzb+IkWSLZw11lOdtrq8QguxiMky2jsSDCaoHXd2ygcdR4sxcPgqD4i+ZPTgmicGEh0DWbybF2I4n2vhmQrhmhSwVLTFKiBVqiBlnZ/tyDk3orWdW8lPGdE5922OFK0PbzH4WVd0Ycz6pfE60LuzQAAS8HgpPbbF5jVaSukOIisfeFclB2QnJWmvpewFA0BEH6vr3+u3rpP4agMNwKxaJuc2E5bIvMkXLTdb7/98Phjj2LUqJEQhNiCraZpGDR4qFlrIxMY8QhJnMHWQm1QFT9EyQbRXpqVIQG5mGer09QA/LuWwV5xMOwDDoY7jUVb0d4fzuoj4Kg+EraycUZGHwAE3bXwbVuCgpHTYCvbD5JjQNaywfqSVAawKJ5t8Nd/B/uAA+Gomgj3ujfNXh4REXXDPuAgAECgcSX8u5fDNeQkWIqHZndRvYgUExHkzvJqOgq69UxbxiMkK9kuVy3Uhtb1b6F47CUoGntx0kVbyd4fgihBU4NGJFs2aKE2bP/ocsiugYAoQ4j8gRD5W5QhCBIE0QKIEgRBNv6tKf52RdlmKJEibThWy/zLo33b/wdNU2AtGZXU633JUQZb/30AAJ49/t+CrVsAIK87bY1M26SLtpFOW8kGiJakhpkB0XgETQ1BEGVYioeZXLQdCgAItmwwbvPWfQbtwBtgLR0dKRJvN+14+YJFW0qXhIu2jzzyENavX4+bb7kF9fW7oGnM68hlyZ5F16m+BoiuKkj2/lkq2o4GkJtFWyAckWAUbU0uzEnOKjgHHglH9VHGCyxdoGktvHWL4K37FMGWjQAAS/EI2AccaF4mV55LdQCLd/uScNG28lAWbYmIMkyPLvLtXBr9PclO27gZRdsc7LIFovEIknNASsWRfJbK3Av32jdROPIcWEtGwVY+LqkM1NhM3ey+n1QDLQgkWajLJDXQjMDuFbCV7RduClj/TkKPd0QGTfl3LevwvR1sDXfays4BEGQHtJDXnEX3IkanbZKDyLSgB5qmQhBEiNbC5E5GiBZIkaxnX/3XcFRMgKVoKHzbPk9qTZ3Rc3KDLdGGIzXQDH/99+H3ktVHoXXtdNOOly9kVziuh0VbMlvCRdshgwfj6qt/jo0bN6ZhOWQuAZIz+U5bAFB8jZBdVZDspWYuLC6CpcA40xhszL14BCD8ZhAIT6iGICeeT9UJyVGO/ofeBVu/vWNu9+9eDm/dp/DULYLSyS8DT+288C/aGhZtzZBKpy0Q7obA/v8HW9n+ECQ7NMVn5vKIiKhLgtFp69v5NYKtGwHoxQgXtFD8wyXzlfE7MEcnYKv+RqhBD0SLE7KrCqFIwYniJzuTb+xQAy3wbPkYBcNOh3PQ8UkVbY3jZzHPtjfybvsctrL9YE+maBuJRvDsEY0AAFrQDcXXAMneD3LBIARzMJou3VKNRwA0qEE3JGsRREtyRVvZVQ1BEKEG3PDv/BaOigmwFg1Pcj1dHCMSj9C+0xYIRyTYBxwIx0AWbZMhRTptO3ufTpQKMdEHLFr0Gfbee690rIVMJtpKIIgWaJqadOFJf5yYhWFk1pJwl23IXWdkBOWaYPM6KL5GiLIDtn7mfF8U7XUZbP32hqYq8O1cisZvH0fde+dj5yfXo3XN9C5/EXi2LoSmBmEtGWFc9kLJS7VoG3JvQchdB0GywjbgQDOXRkRE3bAUj4BkK4Ea9CDQsAJasA2hyDAtPcuPupdKrnumRHNtGZGQMNESfZ2TZNHUs3kuAMA58Khwt3OC9G7CbA4h6428kY5Le/k4CLIz7seJtlLY+u8b3kcXkRZ6t62lMD9zbaODyJLvutaMYWQFST3eEomnCLprjaKqpXhY0uvp9BhGp+3GmNv1yAxb/32MvGmKj2ApgBQp+rPTlsyWcNH2lltuxQUXnI+bbrwBp556Ck484YSYP5Q79DPYim83oClJ7UP1h88QSvYsFG1zOM82SoOv/msAgK3i4JT3JloK4Rx0LACg/tObUb/oNrjXz4Li63lysxZ0w7v9CwCAs+bYlNeS7/TnfLLxCADg3fE/AICj8jBT1kRERD2zR6IR/Lu+M17/hPSIBJ7UjEuqJy4zIcRc26TpBRlV8UMNJHcpuH/3Dwh5dkC0FMBROTHxNaQY4ZavQu5aBFu3QBAtsFeMj/txjuojIQgi/A0ruszCDeV5rm3qnbbRYWSiNbmirRy5yjTkrkWwZX30tiROjHRGsLggR6JRgnvMY1F9u+Hf/QMAwFF9hCnHyxd6nq3ia+DVlWS6hOMRDh5/MA4ZPx7HTp7c4T4OIsstRlaUJ/GsKp3iawzvKytF20iebVMuF20B/86lcA06DvYBB6Nlxb9S2pdryMkQJRsCTWvh370s4cd7tnwMZ/URcA46Fs0r/pnSWvKdqHcZeXsumHfFt/0LFI44C/aKCWYti4iIemBvl2erC7ZshL1iPCyF7LSNR6q57pmgF20tLNomzGjsSOE9AqDBs2UeisZcCOfg4+Gt63jJfXxrYNE2Ud5tn8NSeD4cVYfD20nUQWeckWiE7rbP905bKcVMWwBQjU7bwqQeHy3aboHi3QU10ArRWghLwSCjiJsK/XdgyLMzMjAvlmfrp7D13xeOgUcnHL+Rz2Qnh5BR+iTcafvHP9yLN998C+MOPBg1g4bE/GHBNrdEBwwk/2JIf7HOTtuu6W8KraVjICR5KUyYgILhUwEg6V+Svu1LoAY9kF1VsO6RiUsJEC3RF24pvGH1138LVfFDdg4wLkUiIqL0EUQrbGX7AdijaBvpKGKnbXyimbbJn7hMt6Cb8QjJir5HSG3IsGfLxwAAR+WEhItURjwCO20TZkQkVB4KCD2/nRetxeH5GwgX5boSyvOirTmdtibFI7TWhv82Bk6b8z7CiEaIZL3vyVsXfn7YyvaDaC025Zj5QO+0ZdGW0iHhom1paSn+/o/nsGtX7r6IozAzAv71om2mM21FWylkZwU0TUWgaU1Gj50oxbsLwZZNEAQJ9vJxSe/HXnEI5IJqqAE3PFvmJbUPTfEbOVV6zIKZrKV7wVI8wvT95hr9JIWmBFLKU9bUAPz13wCIvLAmIqK0svbfF4JkRchbHzOcSn/jK7NoG5delWnLTtuESSYNAQu2bECgeT0E0WIMuYqX7OAgsmQFdq+A4m+GZC0ycmq746g+AoIgIdC4Copne5fb6Z22csHAuIrBfYkg2SFIVgBmxSOk2mmrF23D3bVmnXDU9xNs3tjp/YpnBwKNqyAIEiMSEsCiLaVTwj+N33v/fRxxeOK5RZR5RjyCN/lLn6KZtqWmrCleejRCqHULtJA3o8dOht7No1+SmYyCEWcAANo2zUkpC8dTGy74OgdOMvUFl6VkFAZMehyVx/0d/Q6+DaIts8+JTDIzy88XyRlmRAIRUfoZebY7v4653SjaOsogWFyZXlav05sybSXnAFPyHiVnFUoPvNHoQu3LZBPeI+iMgWSDjov7MYLsMjI/2WmbDBW+7UsAAI6qw3vcWi+oe3qIUlC89VBDPgiixbjcO1/oQ8hUxZ/S+zA1hUFkoqUQkq0EQPui7UYAgKVoeNJrak8v2oa66LQFot3YjoFHmXLMfCC7qgGwaEvpkXCm7fr1G3DnnXfgkAkTsHLlSoSCwZj7n//nC6YtjlIjOXtvPIK1JJJnm+PRCDrfzq9ROHIabEkWbSVnlVHUc6+flfJaFF8jJHsp7OUHwbfzq5T2pyve61IIggQAcA05CY6qI9C84p9wr58NQDXlGLnCzDer3u1foBSArf++ECyuTvOjiIjIHPaKjnm2AKCFPAh5dkB2VsBSOBSBhuXZWF6vIIhWo0ssl4u2qr8RatAD0eKE7KqK6axORvFel8I15EQIooyGpQ+atMrcJJmYJ+upnYfifa+CvfwASI4Bcb3vkPX3KIGWXtGckYu82z6Ha8hJsFcdDiz7W5fbidYi2MsPCj+mm2iEMA0h9xZYS0ZBLhpsdLPnAzOiEYDUOm2NLltvvVE4DjRvAGBmPMJQANFicGe8dZ+iZN+rYC8/CIKlAFok8oG6Zgwia6vL8kqoL0q4De8nF16AtrY2TDzsUFxx+WW4+uqrjD9XXfXTdKyRkiSZcNmRPohMEC3GL7NMsJaOBdB7irb+Xd9CU0OwFAyElMSZ6YLhUyAIIrw7vkj9BZKmwLP1EwCJdT10x1IyCo6qw6FpCnZ/8ScEGldDtBagdNz1qDj2aVhL9zLlOLnCzAEsimdbOD5DlFLqxCYiou6J1mJYS0YBCJ/A3FOwhbm28RAjvwPVkC/nTzSaGZFgG3AgAMBeeRiSeIvUq+jdxCETulwVbz38u74HEH80V3RYMrtsk+Xb8RU0JQBLwUDI3WTQOqomQhAlBJrWxvUewxhGVpBfubZSJL81lSFkQDTTNpk5J3JhpGgbybMFwhEkACA7KyDIzpTWJlqLjEYs/fdhZ0Lu2kjsiQxHFa+w7pEgGhnd7LSldEj4FclhE4/o8s/Ew49MxxopGYJs/FBO6dInLQQl8ssrk5fD6/EIgabVGTtmKrSQF4GGHwFEu3ziJYhWuIacAgBwr0uty1ZnDIaoPhKCaE15f0VjL4nsdz48tfOwY/41aPjmMaiBVlhLRqFi8pMoPejmjBb208nI8jNpAItvRzgiwcFcWyKitLENCHeTBZrWQfU3drg/epnp0AyuqvfpDXm2Ov0S4lSHkckFNZAjhUzJVgJr/31SXlsuk03stAWirzvjbRYwOn0ZjZA0TfHBF5mb0F1Egh6N4O0hGkEXat0CAJAjA7HyhWmdtoFIp20yRVsjz3aLcZsWdCMUeS+f6u8uIxqhra7HCAh9IJmzmhEJPZEcAyCIEjQl0Ct+b1Lv07dPI+cxydEfgiCGByn5m1Lal5rhiARL8XBI9n7Q1CCCzesyckwzJJtr6xw0GZKtCKG27fBt/58pawk0rECobRtEixP2qsNS2peleASc1UdA01S0rHo1cquKtg2zse2jy9G2aQ4AoGDoqag88UW4hp2O3v6jxcxOWwDwRv5fwxEYgin7JCKiWPZI0XbPaASdnuGXL0Vb2VWNghHTIEi2hB7XG/JsdSF3+FJUS4qdtrY9Bsk60zSAR7QWo+qU11E28U9p2X88BNllFJTMyLQFwlmpmhKAtXh4XNmbst6V5tlhyvHzlXfb5wC6LtoKFpfxvqSnPFud0WlbOMSEFfYeRqZtyvEIkUzbJOIRLJGibdBdG3N70IhISC3X1lIUjljorstWp0dp2CsOgSA7UjquIDtNyR3PVbFDyLTsLob6pLgqK9de80vY7fa4dnjggeNw3HHmT62nxBjRCN56pPrDQzGGkfVPdVlxcQ09FQDgrfsMmuLPyDHN4NsRzo4Nv/CPv2hZMDw8gMy9wdxsWE/tfACpRyQYXba1Czrkxan+JjQsfRA7FlyPQNM6SNYi9DvwRgyY9ASspWNSOm42iXqXuklvWP27f4Aa9ECy94OlZKQp+yQioljRIWSdF23zrdO2ZP//Q+kB16B03PUJPU5/vaf2gqJt0G1OPIKe+RloDF/hZY9juFMynDWTIDvK4Kg6DJbi7LweMPJk/S0pDVxqTwu64Y1cVRTP607GI5hDH0Zm7bdXp1dEOionQhAtCDZviOne7I7eaWvJ207b1OIR9PzX5Dptw1/z0J5F20hEQuqdtkMi+9vY47bBlg0IttZCkKywVyR/paC1dAyqT/43KiY9aeqA7FxiFG09jEag9IjrO2fU6FH48osluO++P2Hy5Eno1y/acSlJEvbaaywuu+xSzHrnLfztmafhdud2/lU+MC57MuEMup5rK9nTH48giFa4Bh0PAHBvfC/txzNToGkV1IAbkrUI1tJRcT3GWjoW1tIx0JQA2kz+fI2IhIoJSeUqAeFJpc6BR4W7bFe+0uV2gYbl2DH/F2j87kmoQTds/cZiwKQnUTruBoiWxM80Z5vpXUZqEL76cL4iIxKIiMwnF9RAdlZAUwLw717W6TZ6d5Fk79dn4ny6o588dQ05GY7qo+N+nOQoAwAo3twv2hqZtinFIwhGp23T8ufa5YSa32moX6oOhIe6ZoNRMDU5msCzWY9ImIyerirS4xFSmbtB4RivQOMqCILY6etLZ+T55qmLr8sWAILuLdA0FaK1MKPReNmm/05QzIpHSLjTVjBOPrXPtAXaF21TG0YmFw6N7G9jXNt7I88b58DkIhLkghqUHX4fRGsBrCUj4Rp8YlL7yXWyqxoA82wpfeIq2v7qVzfi/AsuhEWW8dSTT+C7b7/Gxg3rsHrVj9i4YR0+/GAOLjj/fEyfMRNHHzMZ//ufOZd4U/L0AQNmnMHWLxEXbemPR3AMPBqitRChtu3wdzJEJKdpqpEtZYszIkHvsvXULkj5cpw9BVs2hkPkJWvSeURFe4W7bL1bP0GotYdLaTQV7nVvYdtHV6Bt80cQBBEFw6eg8sQXYa84JKnjZ0s6uox8RkQCi7ZERGYzumx3L+/yKh1N8SHUth1A37/0V7SVxFwhVXrgjZDsZXE9VjL5apN0CkU6bSXngKQvv7UUD4NkK4Ya8sJf/60xxM5hckSCaCuFrWw/42Pn4OOzcslwuvJkvdsXQw26ITsrYj7PzshpKhznI++2xQA6docLstN4/R1vni0AQA1CMX5O5k+3bXQQmUnxCLIDEKT4j+8ogyjboamhDh2bRjxCHNEj3YnGI2yMa3uPHpFQeWjCM1JEez+UH/EAJFsJ1ED4a1K016V9MiYhNh6ByHxx96ivWPEjbr3tduyz7/44+ZRT8fOf/x9uvfV2/OSii3HAAQfilFNPw8svvwK/v/dczt6XReMRUn8xlMlMWz0aoW3T++iNmTCJ5NqK1mI4ayYBANzr307LeqKDIRKPLLEUDTPO0HfXZbsn1deAhq8ewM5PbkCweQMkWzFKx/0q4eNnjWiBFMm1MivTFgB828OXDVr7jc2LDi8iokzST5Z2lWerC0ZybeU+HpFgKR4BIDxwJtC4CpKtCP0OvhXx5Kr3pkxb1d8INdgGQRCNbqdE2coPBAD4d30PaAq82z4DADiqzC3aOqqPgCBICDStQcizA5K1qNsBUumiN3aEPObk2RrUoFHk6T4iQTS1uSTf6bm29gEHxxTWHJWHQpCsCLZujrtIpwu6w3FocuFg09aZ68wbROZut8/4u22NaIS2OkCLjcsLtm6CpimQbEVGhFuiRFspJFsRNE3pEHfXlWDTaoTatkOUHQk14AiyC+WHPwDZVYWguxbbP74aincXZGcFCoaektT6cxmLtpRuCQeLaJqG5ctX4IMPP8Q7s2bh008XoaGx44Reyi5T4xH8mSnaygU1sJcfAE1TjOFWvY2eo2frvw8EqfscaNfQUyBIVgQaVyLQuCot69FzbW3l4yAmmElcNPbiyD4+SfjFHgD4dy/Djk+ug6apkF1VveYSKymyTk0JmNr9rPh2IdC0FoIg9rrOYyKinCaIsJcfACCOom0kIqGv59paIwNrAo1rsPvL+6GGfLBXjEfBiLN6fKxRtO0F8QhApMgBQC5Irmhr14u2O8NXS3m3LYamqbD1G5vwa6fu6Fc9eWoXoG3ThwDCrwUzLZ1drp4tcwEAzoHHdNlRJzn6hSetqyFTT47nq2DzOoQ8OyDKdtgiwxiBaBRHvAPIYvbZog8jy6Oirc2cTFtAjXbbJhBPZykMDyHbM882vMugcVVBshEJ+uNC7m3Q1EDcj/PWLQIAOOKNSBAtKJt4L6wlI6D4GlC/6A4o3p1oWfUaAKBozEUJd+3mOilStFUiv4uIzNY306ApLfEI6S7a6l22vu1fQvHuSuux0iXUVodQ2zYIogW2sv272VJEwbApAIDWde+kbT2KZwf8u5ZBEESjqzcecuEQ48Vey8qXkz6+FvIaZ3N7y2AyI8svDW8kfJEhHfaKCabvm4goX1lLx0K0FEDxtyDYtLbbbfNlGJneaRtsXoeQewualv0NAFCy79U9fu6So/d02gLRIofFVZP4gwXReL2mR1yp/kYEGn4EADiqJpqyRtFaZHT0erd+irZNHwAId0fqV8dlihGPkIYuV3/99wh5d0G0FsLRxWudaKZuPcwcwJvP9G5b/fkqSHbYIxm3CUUjROhDy+Q8ikcwq9MWANRgeL5PIkVbuSD88yvY2vnAOD0iwZpkRIL+c1/Px42XXvR3VE4EBLmHrUX0P+TXsJePgxpsQ/1nd0KJRD24N74XvsLAUQbX8KmJLj9nCZYCSJHnjh6/RGQ2Fm37KDOHDGQk01aQjXBy98b/pu84GRBPRIK96lDIrkoo/majGzZdPLXzAACuBCISisdeAkEQ4dm6MOFf7nvSu4h7TdE2jVl+XiPXdgL445eIyBxGnm391+ipCGQUbft4pq1etA20rAcAtG2YDe/2JRAkK/qN/3WXXZCCZDcKDb2laBuMdKAl02lrLRkN0eKCEmhBsHmdcXu0CGZORIKj6nAIooRA01qE2rZC8WyDb+c3EAQRriGZHc4jmxih1pEKz5bw686uIhIkZ0X4+IxGMI2eaxsu2gqwV06AKNkQctfFPK/jFYw0XFgK8qjTNpJpq6SYaQskN4xML9p22mmLdsPIiocmtSajaBuJCIpXoGEFFO8uiNYC2Nt1cnemdNy1cA48GpoSwK4ldyHY3O4kqhpEy4/hRqCi0Rf0eEVqb6FHIyi+BmiKL8urob6KVYM+SJDskCKXeJiRV2Vk2tqK0hYe7qiaCMleCsW32xjY1FvFU7QtHH4mAKBt4/uAGkzrejy1n0BTFVhLxxovCLojFw6Bo+YYAKl12ep6X9E2fR1GgYYVUAOtkGxFsPYba/r+iYjykd3Is+15gGmodTM0TYVkL4VoK0nzyrJEtBiXNQebogWbhqUPQfE1wloyAsV7X9HpQ/UTl2rICy3kSf9aTRBy6/EIAxN+rJFnW/8t2s9S8NaFc23tAw6EIDtTXqN+9VL7rkc9Csw15CTEkzVsDgGSM715svo8BUfVRAiyq8P9HEJmPn/9d1CDbZDs/WEtHW3MpEgmGgGAcZWc7KrsM8W17giiFaIc/jxTj0dAcvEIeqZtT0XbpOMRhob307wxwUdq8ER+HnYXkVA09mIUDD8DmqZi91f3R36mxmrb/CGC7lpI9tK4onp6A9nJPFtKPxZt+yA9GkENtkELtaW8PzXYCi1SWJTSlEvqGqYPIPsA0JS0HCNT/PXfQtPU8DTiTiY1ywU1sFeMh6apcG+Ynfb1qIFm+HZ+BQBw1kzucfuisRdFumw/RbB5fcrHDzSuBNAbi7ZpyFnTVPh2hP8v9MvWiIgoeYLsgLXfXgB6zrMFAE3xtZuMPjSdS8saS+FgCKIMNdAaUxhT/Y1o+OZhAEDhqHNhKx/X4bG9Lc8WiBY54jkxvSd7TNG2/T63INi6BYJoSTmHXrBEO9TaF9G8WxdCDbghu6phi2Qyp5toK4EgWqBpChRfeqLIgs1rEWzZBEGywjnwyA73pzOeIW9pISOCy1lzLOyVhwEAvHXJFW3VQAsUfxOA5L6vehs9z1ZTQ6acrEq401a0QHKFO9B7ikcID9FMvIRjKQpfXRJKsNMWiD6PHFVHAELHY7uGnmqcCGz67smuIzk0BS0/vgQAKBp9PgRLx5M6vY1+hQeLtpROCX/Hn3/eeXDY+/4Zt94sHS+Gorm25hdtJccA2AeMBxDOu+nt1EALgk2rASBmIICuIJLj49v+PyiezGTf9HSpmk4uGGQUds3osgWAQPN6aGoQkq0EkrPSlH2mU7qz/Lw7wp3kDhZtiYhSZisbB0GUEXRvjft3qn55qP4mtq8xohE6OfHq27YY7g3vQhBE9Dv4dgh7dIKJRq57LyraRoa/SI7yxK4IEy2wlu0LIJpn257ebeuoOjyl9TmqJkIQLQg2bzCyQgFAUwPRCKshmRlIFh1UvLvDhHoztekDyQYd3+Ua0hPPkL/0iISCEWdAlB0IeXakNOg4FCkeWvIg11aPRjCjyxaIdtru+fO1K7KrCoIgQQ22QfV3PuA91LYNasgHUbIZl+THS3KUQ7QUQFNDCLZ23snbHf+u76H4myHZijvMbHFUHYHSA28AADSvfAXu9d3PavFsmY9gy0aI1kIUjjwn4bXkGv3/gkVbSqeEi7a//vUd+Pbbr/HwQw9i/PiuL/+m7IlmVaUejaBTfOFfIGIahpG5hp4CQRDh2/k1lD7yA8+3o/OIBEGywzX4JADo8ZeambzbPoMa8sFSOAiWklFdblc09uJwl23dZ0llYHVKDRr76g3dtvpzXE3TG1bfji8BANaSUaZOpSbqDQTJDskxAJaSUbANOBjOmmNRMPxMFI6+oFec1KHco3cw+uPostX19WFk1nZDyDrT9P0zCLbWQnYOQL9xN8Tcl85c93RR/Y1Qg20QBBGyK/5cW1u/vSFKNii+3cbl4O15t0WKtpWHAYKU9PqMS9U76XrUIxIcA4/KSNdZ7BCw9NEjEmzl4zpcdWasgZ22pvJt/wKaqkCInLhIZgBZe3qurVxoUq5tj0OssscYQmZCni3QrtM2zqJtT9EIkb0i1LopvH1xYhEJ+u+6kLsW0EIJPRYAoKnRn4fVRxs3W/vvh34TfgNBkODe+B5aVrwQx85UNK/4FwCgcOTZxte+t4rGI9RleSXUlyX80/Oggw/BCSecgPPPOxczpr+BzZs34/XX38Ab02egvj69LwAoPkZWlYlnsPUClmT6MDIRriEnA+gbXbY6386lKBp7UYfAdueg4yBaCxB01xqXyWeCFvLCt20xnIMmwzXoODQ1remwjVxQA+cgc7tsdYHGVbCWjoW1dAy8Wz8xdd9m099cpOvSUNXfBH/DStj6jYWj4hDjDRtR3yCgYPhUWIqGQLQWQbQWh//YiiBZiyFI1i4faS0dg93/uyeDa6W+IJpnm0jRNvzGV+6jRVtLcXi6eFcRR5riQ8NX92HAMU/AOWgyvNsXG0U2PR4hXScu0yXk3gpr6WjIBQONwkZP9Dxb386OXbYAEGhYCcXXCMleClvZAZFBd4kRZKdxNVlnRbRA4yoEmtfDWjwczprJaNvwbsLHSESmogkUzw74dy2DrWw/OGsmo3XtdOM+2RhEtiOta8g3arAV/t3LYI/EniSbZ6uLdtqmXrS1DTgY5YffDzXUhmDTWgSa1iLYtAaB5rUItdaipwGS6WYMITOt0zaxeAQ9giLYbdE2nGtrLR0DS9EweOsWxb0eI882csIyGd6tn6Jg6KlwVh+Bpu+egKVoCMon/gGiZIN32+do/ObR+PdVtwiBpjWwloxC4ajz0bz8H0mvK9vYaUuZkHCnraIomDNnDq648qcYf8ihePW1f+Oss87Cl18swb9e+CdOOvFECEKmwvSpM+k4g61ELtWQTO60tVeMh+wcAMXfktAvn1znb1gBNeSFZO8HS9Fw4/aC4WcAANzrZ6P9wItMaKuNDIaomYzOvvWLxlwEQZDg3fY5gp0UdVPRm4aRRbuM0pBpG+GLRCQw15b6Glv5gSgddz0Khp8BZ81k2AccBGvJCMiOcqNgqykBhLz1CDStg2/n1/BFsiTzITePzCU5ymApGgJNU4znUTyMTtu+mmlrxCN0fcVMoHEVWlaGswVLx11vvHbsjZm2ABBq2woAsLjiH0amF7c6G5gTpsK7PXzJuaM6uYgER+VhECQrgq2buyyYRAeSpT8iIXo1Xvq7XNsiJwKcg6PRXILsNApZ6e72zUfebZ8DCF9tGWj4MaV9BSMnP8zotHUNORmCKEGyFsE+4CAUjT4P/Sf8BlUnvICBU2dhwDF/RckB18M15JTwFYFpGnzdFX2Atxowp9NWC4ZnysTbaSsXhl//hLrIs9UFmpMbRmZG0da382uoATckRxmcNZNQdsQDEK2F8O/+Abu/+GOCcSua0W1bMOJMiGmamZN2gggpchKqr1wtTLkppesUdu3ahS+++ALDhw/D8OHDMHbsGDz22CNobm7GjTfdjMWLl5i1TkpAeuIR9Exbc4u2rqHhAWSezR8CkWFnfYIahH/X93BUHgr7gIMRbFkPa/99YS0ZATXky0p3pW/7l1ACLZAdZbCV7Q//rm+N+2TXQONFdXMkIN5MRtG2ZDTCBePsnlHvkiBDikwTT9eADiCcZ1y812XhDjFB6vXD94h0+huDQNNatG18PzzMJNAMNdAC1R/+W1N8MY+RCwej6oQXjJxDonjZysNdtoHG1dAiGYLxCLVuhqYpkGxFEG2lXWYI9kaSvQySrRiapiDUwxv0llWvwV4xAbb++6Df+DtQ/+ktkHphpi0ABN3hoq1cEF/RVpDs0QF2neTZ6rx1n6Fg6KlwVB2Opu+eTHhdDj0aoZuuR8/muSjZ92rY+o2FpWiYMSU+HTI5BMy79RNoB1wLa8koyIWDEWrdHB2WHGg1ZeATxWrbOAfWktGRwVGpNYfoA7EsBTVI7bW7aFwR0bD0ofA+S0bCWjISluIREGUHbP33ga3/PsYjNDWIYMtGBBpXofnHl9Le+W/EI5hUtI3GI8TXaRtfPAKMnw3JxiOkUrSFFoJ3+2K4Bp+Afof8GoIgItiyEbs+/y00xZ/w7nzbl8DfsAK2fnujaMyFaPr+6eTXliWSYwAEUYKmBHrd70zqXRIfPQigrKwMv/j5zzF/3lzMmD4dhQWFuOzyK3DYxCNw0MGHYPbsd/H4Y/G3yJO50hGPoBdtzcy0FW2lcFRNBNC3ohF0+qWatopwRILeZeupnZfQm0vTaCF4t34KAHAOOjbmrqKxepftEtO7bAEg2LIZasgL0eKEnMMDDfSTEpoaNO2FW2cCjauh+BohWlyw9d83bcchyjRLpFvEt/1/cK9/G57aefDvXIpg0xoo3p0dCrZAtHggWgogyL1/kjBljh5BlEg0AhAeAKVfytjXcm31aIRQay00NdD9xpqK3V/dDzXogb38ABSOPq9XZtoC4XgEIDrJuye2sv0giDJCbdu6HWDn3/k11JAXsrMCluKRCa1JkOywV04A0H2+qBpoNoZI6ZFh6aIXTTPR5aoGWowcf30QbjQagXm26aCF2tDw1f3GEL1UKJ4d0JQABMkKyVWR9H6spaMg2YqhBtvQtvlDtG16H03fPYGdn/wKW2dNxbYPL8fuL/6EltWvw7dzKZRACwTRAmvJKBQMOx1FYy5M+XPpSXQQmUlF28j7PNEaZ6dtAvEI4e0HQhC7jpv6//buO06OuvwD+GfK9tvrLZfeCCn0ltBRUFAQUJoCigoCigWxYKODDcHGz0ZXEAELiqJSpCVASEhIJb1frrftO+33x+7M3uX67cyWu8/79cpLczc7890wN7f77DOfpy8BcnB6n8ePlfk+UhBEqNEWtC690YqCGIvu9akM3JKZ51jXpmJiZqinXk/k9g5amlhG3Wn7yMMP4pRTTsH27Tvw2ON/xNNP/xldXV3W92OxGH79m9/i2muvsWWB9fX1+M63v4XT3ncafF4fdu7cieu/egPWrFkzqv34dB2a3v8TQl0QkOgV5+AbYBuTIQiIO7AtAMTETP18NNt6DQOC0fciEZBLICpRuMP70ftzr4G2HWy/HsOA2GtbT6QFXiUKQfIjqutDbttvv4IApP8t3IYBKb1tcMpp8GlJJFrfhat7B1xDbDuQuCDASG/rMgzINm2bEAToY9hWNgy4em0rNi2Hd/4VcJfOQdxTheCkJdABhLc902/bAyUFAVp6v5JhwD3EtoogQB3htsndLwAzPwz/5JPRvfrn8GhJSIF6VNYfD0GJomfDQ9b5pwoClPR+RcOAZ4j99t5WMAx4+22rQ2pbC0/VIgTK5qI7fcvVwNtmaIKApPlzZBjw2bTtYD/3bncZvEoUarTF+ppj14jGpcCss+GtPw6Jtndzeo2wY9thf+5tuEZku22hXyMO1PvnPl/XiN7bjubn3tw26K2GR4ki2r2jz3k65DVCj8IVboLkKUXQW4VYKDzM9SQj19eIbLctltcRdmzr/DVCQHnFAkhKFKGmt6znPNJrhNyxGUKgAa7SGUi0rho314hgyRR4lSjinZutrw35cx/ah/Dqn6P0mBtRtuAKSJoCtxKFO9oCcYDzKNtrxEi2He7nfqBtXT274FWikD1VCPda92A/92UVC+FVoojsz5w7A26rxyHsWwpvw/GorDsGPel/15H83Pvqj4Jf15AI7egzFG6gbfVt/4C39mjIDSeha93vrGFBdl8jzDsa5Mj+Ibe36xqh7/w3vNWHQa5fAmXdAxDNTt9YC19HFPzrCB1S51a4y2bAVzIF4fQHXaN9HVFRdSi8ShSx/W/Cp/W9q1IVDCjhPVDDeyDuedG6Rki+Gvinnoay+Z+CVLkICV3P+hoxGE0QMp228e4hfy5G+jrCHe+CW01A7dVpO9h+BVcAPtmPJDKdtoOuIdoGOdIMNVAHOTgNSvfWYa8RSmASRNkHQ0vCFdoL1xAxBsO9jhD2vwW5ZzcgebB/2besD3/GfI1oXgFh/5vwVh+KutkXoHPNfUX1XiPgrYZg6FCj6Q+BJ9w1IiOX7zVGsq3d1win3muMlDCpYcqoPhb4yd0/xuN//CNWrhw6jH/y5MnYt2/faHbdT1lZGf77n+ewbNkbeOTR36O9vR2zZs7Ezl27sGvXyIYMlJSUYPOmjUBpKRDq/0nQCx4vPlmVmWq6df8++Af5x13mduOC6sztm2ubGlE1yIVytcuFD9VkPpV8q3k/pmoD3wK9SZZxWm1mavb/WpowTx14suMeScJxdZOsv/+rtRmHKwPHCrSLIg6pz3QcPN3WguOTA3ddRAUBcyZlbil7tL0Npyf6d0SZGhoy2YO/6WjHOfHYoNvOrm+wLqr3dnbg4tjgt0MtqpuEDik1ofeurk5cEY0Muu2xtfXYK6c+d/hedxeujQzevXpqTR02u1L5SDf0dOOG8OCfCp5VXYt33alPL68Nh/C9nsFD6T9WVY03PF4AwBWRMO7q7hp026+e/Ru8FKxGyytfxkXRCH7aNfjtmJ+rqMSzPj8A4OxYFL/tHDxf9SvlFXjSn+pOe388ht93DN4d8+2yCvzngmch+6ox679X44+bXx5029tLy/CrktSLjcOSSTzXNnhXxE9KgvhJaepT6oMUBS+3Dj5c4sGZJ+O7idRwlCmqiuUtg3e4POwP4NvlqZyjSk3DuubB84L+5PPj+opUh5BP17GtafApnv/w+nB1ZZX198bGwT/ZduoascZfias+8waU7h1oevFKXiN4jcDllVV40esDgDxeI8rxcCDVGbIkEcef2wePCXHqGvGrQAluLysHMLGvEXwdkeHUNeK8T76ILe2r0bnq3nF3jfjygnPwVFfqtv+RXCNePO1H8E8+GSfsfBn3PHv1oNvyGpEymmvEK9Vz8XF35vwe6hqxsuFYXNQwG7HGVEebrdeI+qmYel4qnuvR3xyKecrAtzQ7d40QcdT7v4vSgy9FaNsz+PlLNxX8NYKvI1JuPOgDeDS8AcD4fB1xz4d/DV/dsTDeuAXLV/5x0G1Hc414cfYHcePpd2HfP1J3Wg51jVg6/RR8+fS70PjcxQCGvka8XbMA1138V7Sv+AGiu58f9hrx0UPOQ83xdyDZtQ1//+M5Nr2OkHFcXWZbO68RcyZlti2W1xGbW99G17u/nNDXCL7XSBnt64gbpk3H5k0bcdC8+QiHBz93Rt1pe8PXvj6i7bIt2ALAFz5/LRob9+P6r95gfW3PnqEDuokKWXjbM3legYHY3v8hOPdCeGuOAIYo2jpF8lYCiYEnWk8kuhqFYWhwlc1MD4BhgD0RUa650reNjjdqdPA3KwPpXHUvPJULHFrNxKbFOwC3b8TbB2acZRVt7SR5Ux8u6VoiP1n6opTJ1M3BIDSyj+StBMaQ7CZIIz/v80myMm3tja9LDSIbWR7wcNEIJkNLFSZHOowsk2drZ1a2Q1EAYlbjlvJGDQ9emCOyw6g7bQHA5/NhyZLFmDx5MtyuvtMdH3jwIdsW9/L/XsTLr7yKSZPqsWTxYjQ1NeHhRx7F448P/gmY2+2G253JeAkEAlj1zgocNnfegNXr8XZbo7fuOFQvvgnJri1oeeUr9t3WKLow5Zy/AQD2/esiRLXY4NseuN8BbjGoPPJr8E89DZGdz6Gz12CH8XbLkn/Kaag86mupNSgR7Pnv5YCu5PV2BKHiINS/79eAEoWx71X4Jp+MeMsKtL1xc59t7b4dQfLXY9IZD0AxDOz850cBQy24W59L51+O0oMuQXj7P9G19v+G3HYgo71GlJ7yM3iqD0HHqnuhb/v7oNsCE/HW5+y3LYZrRG/FfstSSekM1J36S2iJEPb/+5JBtx3o57580dUomf0RhLY8hfaNjxTELUuMR8huW6evEdVLboW39mh0rf0twtufGXLbgbhKZ6L8jPuhKRHse/a8cXGNEEQ3Gs5+GoIgYed/PwUlkR4iO8Kfe0/tUahffDuM1tVoXXrjkNsChXdbY+0pP4O7fA7a3rod8abUMOSBfu599UtQddx3ofTsRvP/rrX2O9Q1ouaE78NTfSi61v4G4e1/H/bn3jfpeFQd+x2okWY0vvjZEV0j5MAk1J3xIOKSC/v//QlosTZbrxF67eGoPfleKKG96P7P5UNua+c1wlNzBGqOvwNaogfhRDs8VQvRvvwOaHte4uuIUW6b69cR/skno/LobyLSuQmNr39tyG1Nva8RgUlL0HD0t6GE9qH5pc/123a4a0TwoItQNv9TiO1/A81v3+nYrc9VZz4GOTAJzf+7DlL7+iG3HdHrCEFGw7nPIil7sO8f50FXQoP+fJYefBlKDr4MHXueR+eqewEM/bPsm/EhBI7+OmJNy9G27FvDXiP8x3wbgWmno2v9A1A3/mHQbYH8vY5wVxyE2pPvhWFo2PnyF6GGU016hf5eo/aUn8KoPgQtb96E+P43JuQ1wsR4hNFvqwsCXMGgM522ixYuxO9//wh8Ph/8fj+6urpQWVmJWCyGtrY2W4u206ZNwycvvwy//d39+MXPf4nDDj8Mt992GxRFwVNPPT3gY7543Rdwww1f7ff1mCj2+cEezEi2KaRt470uKgAgBSch7vIjqoT67efAbYeS6LethqihQXQHkfRVA+E9Q2w7uKSQyg0Spp+BuORG654XoAzyfJOj2K/S6wcvX9uqvS5ApkTHWvhdqdsKurf9BdCVQbcdjCYIqV8edm3btQVKaA9cwakQZpyJOIDmLU8hOcR5p49iDcZg28ZbENEVSJ4yuMpmQenaPPi2A3FqW2R+5ryB1M9PWO0Z9OfQzp9lV9Nb8FQfAl/9cWjb8axt++1tND/32V0j7Nl2ND/34+EaYce2tl8j0kbzc68LApTS6Yi7/Ej07BjyHB3o515WuiC7/EgGp/T59yy0a8R43LYorxGSG3rdsYjLXnR1rB3T64hYtBGlhgHRHYTkrYYSbyv6a4SrfBYS7iC0RJdVsAVG/nOfaFmJfS9eCS3ZDWME59BorxFZv44YZttwvB1+16FQy6Yj1rK8/8bpbT31RyPu8iPU9d7gPysHrKGj9R1UTFoMTDkVsZ39f18fuB/ftPch7vKjp+XtPgXbgbbNfKMZ3s5N8NYcBv+0DyC06XFbf+79PrPLtTmn14hYx1r4tTikknp4SlK3VKvR5lH9DufriJRcv45Qo02p9zHpAYdDbTsQd91xqZ+1jrXDnnMDXSPUtjXwuPwwJi2GIspWh/hYrxGDsTJtkz1Dvh/qY8j96ohDhwhAcJcAA7wvN/nLZiEpe6CGMp22Q/1baeHdCABwlc0cdlsAKOvVaRsv0NcRse6tcLWugq/hBJTO/yQ63r4TQOG/11DKZkISRGjpvOeJeI3IdttCex0xLJu3dQ353YyR/zSm3XLLzXj++Rcwf8EixONxnH3OuTj2uMVYs2Ytbrv9jtHubujFiSLWrVuHH/zgh1i3fj0ee+xxPP7447j88ssGfcwvfnkfDpo33/pzxJFH27qmQieZL8gcmMqqxdMdG96qYbYcmn/a6RAkN5JdW6B0bR7+AUVMj3cg1vQmtHgnItv/ke/lWKJ7XrT+f7x5BZIdG3Jy3GTXJgCAu2JeTo43Wua5rccHz+yxU7z5LQCpLhSII71sExUmc/qxOsJb/Hozb+WWfbXDbEkEeKoWQpS90GJtUHp2jm0nugI1korykkvHR0SCu2w2APQZejVaaqQRhjJ4fl8hU8z/noHJQ27nrTkCAJBoXTXifccalwEAPNWHQuw1XGhAogu++iWpx+17dcTHAIDIrlTmbGD6maN63Ehkoglabd/3kAwd0b3/6/MlxiMUB7PjUfKUWYXN0fDWpd6Hx1tWjOn4StcWaIluiK4A3E7FtwgyRFcqi1NP9ti2W11Jdc0Nd72Qg6nXTiONRzB/58m+GgiukmG2FuEKTuvzuELVvfFhAEBg6vvgKp019MYFQHCVWLEaamTwPFQiO4y6aLtw4QL85re/hWEY0DQNbrcbjY37ccedd+JbN37T1sW1tLRg8+Ytfb62ZetWTG4Y/MVYMplEOBy2/kQixfnCc6wkXw0AZ14MaYlUULXkrchqP4EZHwIARHY+l/WaikHbsu+i8blLoMUHD9nOteiel6z/373x0ZwdN9lZ6EXbVHC4Fh88PN1OSvd2qLE2iLIPnupDc3JMIqe4SqYCGPkbj97MDxrNogLRULy1RwEA4i1DD8Udjvkm1sz8K3audDec0j0xc+PVcLpoWzL4+wTRUwFX2UwYho5E25oR71uL7keyezsEUYK3/rght/XWHQ3R5YcabUGy870RHwNIFXl1JQJXyWTbXxeYH4qpDjR2DKd3s4Cha9BiuflwnLJjaAmrICWni38jJZdMgRyYBENLItH67lhXgHjLSgCZArDdRE+q8GYYmlVotYOeTA2ZEt3DFG2tD7xHNrfHUKPWB93D5drKJQ0QJDd0NQ6twAuLSvd268Od0gWfyvNqhicHUsMatXgHDG3wYWlEdhh10VZVVejpjJO29nZMnpx6YRTqCaGhoWGoh47a22+vwOzZs/t8bdasWdi3b/RvCCcK8w2vGrX/U3Sz01ZMF7bGwl1xMNxls6BrCUT2vGDX0gqcARgDT9/MFzWyDx2r7kXn6p8j2TF4dpPdzKKtp+LgnB1zNMxO21wVbQEg3pTqtvXVL87ZMYmcYL3xCI2h0zb9QaPkqwYEydZ10fiTKdquzGo/Ss8uAOOpaJt6zZzMotO2mI2kaOutORxAqht5tF11sf1LAQC+hhOG3M7fcHJq+8bXMNqBPYYWtwoXgelnjeqxw7E6bfNQtE12boKS/t2Q6vQdfjATFQYlvBsArI7NkfLWpoqsifZ1WRW14s2pLl2fQ0XbzBCyEOwcsJXptB28G1byVkOUfTB0DWpk5AOJle7UUDF32dBFW/N3mxraBceGh9moe+OjMAwN/oYT4So/KN/LGZJZtB3NfzeisRp10XbduvU4/LDDAQBvvvEmvv61G3D++efh1ltvwXvvbbJ1cb/93f048sgj8MUvXocZM2bg/PPOw2WXfgIPPfyIrccZT2Sfc1NZzVvGJc/Yi7aBmR8GAMT2vlK0t9+NF5Edz/YZ3pILZtFWLp0GQfLm9NjDEiSri1yL5bBom45I8NYfm7NjEjkhm3gEPd4JQ1cgCFLWETw0vonuUrjK5wIA4q02ddoGZ2S5qsJgRzxCMTPjLiRfzaCRQ550NEK8ZeTRCCYzIsFbd8zgkUaCDN+k4wEA0VFGI5giO1MRCb7JJ0OQ/WPax0DMu/HUPEUTRNPNGmaXIBUHNZTqAB110bbuGACZoutYmdEKrvKDxhTRMBzRXQYA0BPdtu7XMDtthyjaWq+bIvutvN6RUHpSd1MM94Gjy8qz3TnifeeTGtqN6O5UV37Zgk/neTVDkwOpZkUWbSkXRl20/f4PfojmltQv2x/88Efo7u7GD75/F6qqKvGNb9obj/Duu+/is1dehfPOPRcvvfg8vvKVL+Gmm2/BX//6N1uPM36IqS4lOBSPYGXajq1oK8g++KecBgAI7/yXbeui4qHHO6DGWiEIEtzpN92FwjyvDV21NdNqOPGWVTB0Ba6SKcPm8BEVKtFdCsljZnvtG8MeDGjpO0Qkf52NK6PxxlNzOARBRLJ7e9b542poJwDAVTq6YkQhkny1EN0lMHQVSmhkt9mON3qiC7oShiCI1hvqA40lz9akdG2GGmuFKPus/fTbf+2REN0l0GJtSA4xhX4oyc6NUHp2QZS98E85dUz7GIicx05bAAht+wvCO/6JnhzGclH2lFCq01YOTh35g0QXPDWHAQDiLW9ndXw93p6KJhFE6y4LO/UeQmYnPd2cNFQ8gplnO9oPuzPRPkNnvxZb0RYAut97FIauwld/LNxVi/K9nEFlOm0b87wSmgjk0T5gzZpM/lN7ezsuvexyWxd0oBdeeBEvvPDi8BsSBMmN6L5XIfmqHcmK0hLZFW39U06DKPughHYj2b7WzqVREUl2vAd5cg3cFQcjUUDnQSbPtgO5vIXIUKNItK2Ft/ZIeOuPQ3jbX3J2bCK7WN0i0WYYWmJM+1CjzZBLGiD7a5HMXbM7FRnzTXsiyzxbAFBCe2HoKkRXCSRfTe4HNNnIVZ7usg3tBnQlz6vJHzXcCHfFQZBLJqdvCc6Q/HWQSxpg6NqYX3/E9y9Dyaxz4Ws4AfHm5f2+75ucikaINr6ObF5LRHY+h/JDr0Fg+lmI2NDoIMgBq+MvX+e5oUTQueqevBybxk5NF21dJSP/cCs1LNIHLd5uS8Z2vPltuMtmwVt3TL+hdtlyrmg7fKetOQtgpHm2JjMeYbhMW/MukmIq2mqR/Yjs+jdKZp6N2pPuhtKzE8murVC6tqSGmHdvL4gMWdnPeATKnVF32lLhMrQ4Ot6+E62vXg8nsqKyzbTNDCBjl+1EVqjDyCRvuks9h3m2pnhT6o0fIxKoWMnmG48x5NmaNCvXlsPIaHB25dkCAAzVykEt9lzbiR6NYLL+ew6Qa2vm2SY734Ohxsa0/2hjOtd20hIAQt9vChJ8k1J5t7ExRiOYIntegKGr8FQtgBycntW+AED2pwcVJ3oKouBBxcPs3JcC9RBE94ge4601oxFsuE4jE7HgSKetJxWPoNldtB3BIDLzA+/RDnBVQrtTHzi6S6y7bPsRZKs7upiKtgDQs/H3UHp2QhBdcJfPRcmMs1Bx+JdQd+ovMPkjf0f96Q+g8uhvoWTOBfBUHwbBFcj5GplpS7k0ok7b//7nORjGyD4t/uCZH8pqQVS4Mpm2FaN+rKt0FjyV82HoCiK7n7d7aVRECrVoK/bptM2tWNObKD/0GnirD4MgefmGyimiC2XzPwmlZyeie/4HDkKxjys4tjcevZkTzWXGI9Ag5EBDahq5riDRtmb4B4yA0rMTrtLpcAVnIN6c3W28+eRi0RYAoERS1yCzGNKblWebRRZyovVd6EoYkrcK7oqDkezc2Gv/h0PylEKLdyLRlt2dRHqiE7GmN+FvOBGB6Weie91vstqf5ODMCxrf9EQn9GQIojsIuWSKlac6FG96aJhd19RE+1roahySrxqu0plQenbYsl+g9yAyuztthx9EZsUjjPYDb0OFGt4LV+kMuEpnQYu19d93yWQIogxdiRTdz70Wb0PTC5+F5K+Du3wOXOVz4U7/kbxV6ec9A4Fpp1uPUUJ70P72XVC6Nju/QEGyorw0Fm0pB0ZUtP33v//j9DqoCGQybStS071HEZgemJGagBtrXAY90eXE8qhIJLvSw8hKGiC6S3OaHzsUyZcafqTH+7/wcZoa3gM10gg50ABPzRGIN72R8zVMBL5JS1A67xMAgOBBl6B7/QOIN72Z51WND9kMITNZnbZ+dtrSwEpmnwcASLSvt+3DLSW0E8ApkEuz72bMJ1dZKtswacOtyMVMDafyBQfKtDWLtomW1WM/gKEi3vQ2/FNPg6/h+D5FW386GiHW+Drs+FAwsvPfqaLttDPQvf7+Ub3uPpB5XS224g0VBiW0G56qhZCDU4ct2oreSrjL58AwdHvuiAAAXUGi7V346o+Dt+5oW4u2Tg0iszptXYN02gqydYu9Msp4BCAVkZAqXs4cMKrFjE5Qenb1+16x0KLNiEWbEUvf4QCkz6+yOXCXz4WrPPW/cmASXMGpKF/4WbQutXfG0kAkXy0EUYKhJfNyhyZNPCMq2t5z708dXgYVAz3ZA0PXIIgSJE8FtBEWtwTRjcC0MwAwGoFSmWZKaC9cwSlwV8wrmM4mc2J9PjptASDWtBzB2efBV38si7YO6T352F02CzXH34lE21p0rb8fyfZ1eVxZ8bOjaGtOFJcZj0AD8DWchOCcjwEAQluetm2/mYEuM2zbZ64JktcqUk70TlvzGiQfEI8gl0yB7KuGoSWR6BjbgDBTbP/SVNF20gnoXv9A6ouCaEUjRLOMRjDFm9+CFm+H5K2Cr34xYvuXDv+gQUi+VDyCGi3e3GbKH7No6wpOw3DBIt7aVJet0rUFetK+Qmi8eUWqaFt7DEJbnrJtv85l2qY7bd0D37ovB+ohiBJ0NQZ9DIW/ZM92+HHaoL+7rCFk6YGb44Ue70A8vrxPoVoumYL60x+Et+5ouMpm2ZKjPJS+0Qi5m4NCE9eYMm1LS0vxiY9fgm/d+E2Ul5cDAA5ZtAj19fV2ro0KjgEt0QkAEL0jiEgQXfDWHYuKo74O0R2EGmmy7xNXKmrJzvcAFFZEglW0jeXnE9N401sAAG/9cXk5/kQgB1Jv4ns2/wk9m/4IXUvAU30I6k75GaqX3DHsFF4ajGAVSMbSLWLS0kVbifEIdAA5MBmVR30dQOrn184PtvoWbYWhNi1YrrJZEAQRWrx9wt/NZE7ylv11ffI3rS7b9nVZD2qLNS2HoStwlU63PrDyVB0KyVsBLdGNRNu7We3fYuiI7PovgMwda2MlMx6BsqCmc23l4PDDyDLRCCtsXYPZ5OGpPgSC5LFtv6InVbTVbCwwA5mirTBIp62ZNzvWD7ut311lAw8jc6XvHjGHlo1nangvovteAQAE517k+PGYZ0u5Nuqi7fz5B+P1117B57/weVxzzdUoLU1d6M760Fn41recb0en/DI/CZQGGUYmusvgn/ZBVB13Cyaf/VfUnPB9BKa+DwAQ2vpn8NMoAgoz11ayMm3zU7RNtL0LXUtA9tdZby7JXuab62Tne+hefz+a/vNJhLf/A4auwTdpCere/xtUHn0jJD8/gBwNyVcDUfLA0BWr8DoW5kRz0eXPy1AJKkyC5EHVcTdDdAUQb1uT6Wy0iRreB0NXIMq+oo3myEQjTOwuWwDQE11WsURKv7EGAG/tkQCAeOuqrI9hqBEkWlOFWd+k41P/a0Yj7F+aVYzBgSK7/g0gNahUTH+4PBZWPEKURVsaPSW0GwDgShcaBydkhkXafCedGt4DNdoMQXLDU32Ybft1rNN2mHgElzmELDS2D7vNYqwrOB0Q+pd0rHiEUPHGI4xGaMuTAAD/lNOsOwuckinaNjp6HCLTqIu2t9x8E5588imceOLJSCQS1tdfeuklLD6OHWLjnRZPddpKvV44ysHpCB50CWpP+RkaPvw0qo7+BvyTT4Io+6DG2hDe/g+0vv5NhLf9JV/LpgJT0J22eSraGloCkR3/BACUH3I1irXjq5CZ3aDmdHEt3obO1T9F0wufQXTv/yAIIgLTzsCkDzyM8kO/AHEMQxcnoky3SCNgjD3H0dAS0NJdgrKP3baUUn7YF+Eunw0t3oH25XfYWhADABia9aa5WCMS3OYQsq6JnWdrMq/xLmsYmQBP9eEAgETraluOEdu/DIBZtBXhn3xi6us2RSOY1PBeJNrWQhAkK2psLMxOW5WdtjQGarpoK5dMxVCvT13lcyF5yqErESQ6Nti+DrN71+zmtUNu4hH6/5tlGyulRZugqzEIktu6k8wiuiCXpCNz0h25453StQXxllUQRBkls8939FjstKVcG3XR9rDDDsPv//BYv6/v39+EmhpnP9Wg/NMSqbxPT83hKD/085j0gd9j0hkPonzRVfBULYIgiEh2bkb3xkfQ9NI12P/cxehc/VPEW+y9RYaKm9K9DYauQfJWQfJV53s5gCBC9JQDyF+mLQD0vPd76EoY7vK58E99f97WMR4JrhJIntSwCfMNvUkN70X78jvQ9NI1iDW/DUF0ITjno5j0wd+jdP4VEGR/PpZcNKxukSzybE1mFxgjEggAAtPPQsmMs2AYGtqX3zmm3L+RUNODWlzBGY7s32kus2jLTlsAvYaRpYsWrrJZkDyl0JWodadPtsyirbtqIXwNJ0DyVkFPhhBvyb6T90Bmt23JjA9jbMl2gvVai522NBZqdH/6jgTvkHckWNEIravt/4ANvYq2tTYVbQURklm0tXkQmZHutBUEacDXkdnPAjAGjUhwBadBECRoyR7Hfm8WIrPbtmTm2RBk5+7Ysoq2URZtKTdG/Zs/mUwiWFLS7+uzZ81CR0f+ih2UG2ZBKzD1/QjO+RjkkgYYWhKxprfQsepeND53MZr/dy16Nj4KpWtLnldLhcrQEtbkV3fFwXleDSB5KiEIIgxdy2seoJ7sQc+mPwIAyhZ+pk8eH2XHle6y1WJtg06dV7q2oG3pjWh57QYkOt6DKPtQNv9yTPrgH+BJ3+5H/dkxhMxkDSMr0tvUyT6ustmoOPxLAIDu9Q8h0bbasWOZg1qKs9NWYDzCAZSIOYwsnTdr5dmusa2QpMVakezcBEEQUX7YdQDShVxDtWX/vUX3vgwt2QO5pAHeSaO/q1H0lEOQ3DAMjZPOaWwMPdPBPkSurbfuGAD2RyOY4q3vwDA0uEqnQ7JhaGnv6AJdCWW9v94MPQlDS6aO4+5fO3FlmWkLwHovdeBMBvN3mfmB5EQRb34bSs9OiK4ASmZ+yLHjmIM/NXbaUo6Mumj73/8+j+uv/wpkWQYAGIaByQ0N+M53voV//utfti+QCot5W5kW70R453Noe/Mm7Hv2fLQt+zYiO56FFmvL7wKpaBRSrq3kS0cjJDqQ79zl8Na/QI02Q/bXoWTOR/O6lvFEtrpB9w2zZeo61/LyF9D25s1QQnsgecoQnHWu00ssWnYWbc0hOXa8GaPiJbgCqDruZgiSG7H9byC0+QlHj5cZRjbd0eM4QQ5Mgij7YGhJqFkMAhxPrE7b9C3DXrNo27La1uOY3bZyuos1anM0gsnQ4lZ8UnD26F8XmB+CabF2R7ofaWJQ+kQk9CfIfngqFwCwfwiZyVDCSHakItbsiEgw7+rRk6Gs4p0GYxaCD8y1FWS/FcumhLIo2pq5tgd84Gj+3SzqThxGptt2zscAQbb9CIKrBKI79d9TjTTZvn+igYy6aHvrbbcjEPBjzbur4PV68Zc/P4WlS19DOBzBD37wIyfWSAUk0boKe5/5MBr/dRE637kbscalg3atEQ2lkIq2ojmELJb/DhRDT6J7/YMAgNJ5n4DoLsvzisYHK882MnzR1hRrfB1da38NAI4PNShmZjyCOsZhGr2pVjwCi7YTWeVR34CrZDLUyH50rPghnP4wzSzapiajF1eeuBWN0LPTkaJDMTI/QJJLGgBBgqf6UAD2DCHrLda4zPr/uhJBvGWlrfvvLbz9GRi6Bm/tkf266oZjfghmDnskGovMMLKBO229NUdAEGUoob3QHLxt3OzitSMioXTex1P7bHs3630NRE+mc21dfTttzdekWrwDhhoZ8/6tTtsD4xGsou3OMe+7WEX2vAQt3g7ZVwP/lFNt378ZjaDFO1gDoZwZddE2FArhko9fiiuu+Ay+d9PNeOihh3H5Jz+Fj11wIWKxmBNrpAKTukDxjQFlxyrals9Dvt8km592F0ruU3TPi0h2boboCqB0/ifzvZxxwey4OjDPdjjm3QMFkb1ciEQXpECqU8XOTFvGI0xcwbkXwt9wIgwtiba3brP9ltWBqJFGGFoSouyD5K93/Hh2YjRCf+Z1XvbXwVN1CESXH1qix/bMX6VnuzWIJrb/DUBXbN1/b1qsFbHGVCfvaO/CMT8EY54tZcP8YFYerGhr5tm2OBONYMrk2h4JCGPJeE5xVy6Af/LJMAzNapawW2YYWd+irSvdrZzt6yazaCsHGiBI3sz+J3DRFrqC0Na/AgCCcy+yffeZIWSNtu+baDBjvtItf/ttPPLIo/i/X/0ar732up1rIqIJQOnZAV1LQHSXWJ8454tZtC2crDcDXWt/AyAVpi9bE7BprMZ6C78WTxVtRU85IEh2L6voyYEGCIIEXYlAT3RmvT8tlsq05SCyiclddQjKFl4FAOhccx+Urs25ObChQ0kXJIot1zYzhGx7nldSOPRkt1UsCcw4CwDSmcj2d2yHtjwNPRlGeNvfbN93v2Nt/QuA1FwJc3jqSMjpTls1xqItjd2wnbZm0dahaARTsnMTtGQPRHcwq7kY5Ys+BwCI7PoP1JAz2a+DxSPIQXvuUNITXdDinRAE0SqmC5LXylydkEVbAOEd/4CuxuAun237TArz31Zlni3l0KiKtoIg4JKLL8YjjzyEl158AS++8DwefuhBXHDBx5xaHxGNV4YGpSvV9ZLviIRM0bZwhikm2lYjtv8NCKKMskVX5Xs5Rc8cRDbaTls90Q1DVyAIonWeUIbLxjxboFc8greKRfIJRvRUoPrY70IQJUR2P4/IjmdzevzMMLLiyrV1pztt7e4iLXbmtd4/+WQAqXgvJ4S3/w37nj0Xyc6Njuy/t2THBiQ6NkKQ3CiZefaIH8dOW7KDmi7aSt6K/kXIwGTIgQYYumLNP3GOjkTLOwDGnmvrm3QCPNWHQFfj6NnwiJ2L68OKR3AfGI9g32sna7BzOiLBLN5q8U7oye6s91+MDCWMyM7UrKVSm7ttM522LNpS7oyqaPvwww/i7rt/hEn19XjvvfewefNmTJ4yGT+99x48+MD9Tq2RiMapZGdqmEDhFG0LpdM2pWvdb2HoGvwNJ8JddYht+029WCyu3MZsiO7SXkMDRns7k2FlHTMioT9rwJsNebZAqmvE0JKpIjn/vScQEVXHfAeSrxpK9w50rvppzleQGUY2I+fHHitBDlhvIBmP0Jc5dFKQ3ACAeIszRdtcC2/9MwCgZNZHRjxkx8xkZ6YtZcPQ4tYHq3Kw7zAys3iaaFuXk5xPMz/aW3vM6B8siChbdCWA1M+TeUeVEwbrtHVZw3HtK9qaWdeu0pnpr+/Met/FLLT1z6kc8LqjrRghO7BoS/kw4qLtxRddhMXHHYeLLr4EH/jgWfj8F67DtZ//As4444O4+JKP44QTjmfHLRGNSmYY2dhvb7KD5CvMoq0a2m19Ulx+yDXIutAqiKg69ruY9IFHEBhFl06xszoaoi0wtMSoH2++0ZW8LCIeyLrFz6ZOW8CwbuE1b+ml8a9swRXw1h4BXY2h7a1b8zLcoxiLtuYbUTXaDCMdB0ApvYdOarE2qGF7PljKt+i+V6HG2iB5q0Y8ZMfMCGc8AmXLvJ3/wIgEb12qeBpvcTYawWQOI3NXzoNwwJCv4QRmfAiu4DRoiS70bP6TE8uzDN5pmyp62zHA9cDfXebdIubdIxOVFm1GdN8rAIDgnAtt2y+LtpQPIy7annfeufjFL36JZcve6Pe9pUuX4Zf3/R8+ev75ti6OiMY3s9PWVT4nr7dCS95KAIUVj2Dq3vgIdCUKT+XB8GU1BVVA5ZFfg3/KaQAAT+UCW9ZXDOQxRiOYzC4Mdn72Z+ctfibzFl7m2k4M3vrjUHrwpQCAjpV35624pqbf+KZuLR37cJtcykQj7MjzSgpP7+t93PHbtXPI0BDe/gwAIDhnBM0yoitzNxHjEShLSjgVkdBnGJkgw1NzOIBMMdVpWqwVSs8uCIKUGkg2QoLkRVl6wG/Pe3+AoUacWiKATKdt78Ky6K2E6PLDMDRbCn9mnrkrHY/ATtuM0JanAAD+qe+z7jjIiiBB8qVem2os2lIOjfhV6fz5B+N/L7886Pf/99L/sGDBfDvWREQThBreB10JQ5Q8+etuEkSIngoAqW6cQqMnOhHa/AQAoHzhZwHRNab9lB/2RQSmf9D6uxQorgnp2bCKtpExFm0ZjzAoO2/xM2kxs2jLTtvxTvLXofLoGwGkhizF9r2ct7WokabUcEzJY3XSFLrMEDJGIxyod9HWqTzbfInseBa6loC74iC4qxYNua15h4iuJSZsviXZR7WGkWXiETxViyDKPmjxjpwORDQLxGaX70gE514IyVsFNdyI8PZ/OLU0i3kHRO94BGsWQKQJMNSsj2EWZyVvFUR3aabTlkVbKF2bEW9dDUGUUTI7++ZCyVcLQZSga4mCuzuTxrcRF23Ly8vR2jp4QaO1rQ1lZWW2LIqIJgoDyc7UdPB85dqKngoIggjD0KAnCvMNTWjr01BjbZADkxCcdd6oH1+26HMIzj4XhqEjlM7Dk/0Tp2jrCmTXDWoW8zmIrC9BDlhd6mPtYh6IGm0GAMjstB33Ko/6BiR3KRIdG9C19jd5Xo2eKUgUSUSCWbRlnm1/va/346rTFoCe7EF09/MAhu+2lf3pPNso82wpe0r6GimXZDptzTzbePMKAEbO1mJGMXhrjxrR9qKnAsH0UKqu9Q/YUjAdzkDxCFY0gk0fdhta3JrX4K5aZL12YtE2JbTlSQBAycyzIciBrPZlfqCrRZqQy3OdaMRFW0mSoKqDX9w0TYMsjywQn4jIlMm1zU/RNjOErBOAnpc1DMfQEujZ8CAAoPTgSyG6S0f82NKDL0PpQRcDADpX3YueTY8DSHeNjrFrt9iYnbbKGAuLKuMRBuRK59lq8XYYatS2/VrxCMy0HddEbyW8NYfDMHS0L78zJ2+gh2O+yZXTnUqFTbSKy+y07U9P9qDz3fvQ+e590KJN+V6O7UJb/wIA8DWcMOS10vyeFmvOybpofDOHjsolk6zXkLnOszUl2tbA0JKQ/XV94xoGUXrw5RBdfiQ63kMsnXXqtIEGkVmxUjYNcAUyETlmzrUaa2POeVq8aTmUnp0QXQGUzPxQVvtini3ly4irrIIg4Kc/vQfJRHLA77s9btsWRUQTR6EUbfUCv80lsut5lMz+GNzls1E671J0rf3VsI8pmXMByhZ8GgDQ+e591lAzXY1BlH2QfbVjjgxwguithJ4MAbpi636zzrQ1O23tyMMaR8w3HkrIvmgEAJnp1IxHGNfM7iila0vBFNWKaRiZXDIZouyFrsahhhvzvZyCFN72l3wvwTFqaBfizSvhrTsKJbPPQ/e63w64nRkzYw7UJMqGHm+HrkQgugKQAw3Qkz1wl88BAMRbVuZ0LYaWQKJtDbx1R8NbezTC6S7ggcglU1Ay88MAkP5ZyU2XpNVp2yvT1vzA285YqWTPDvgaToBv0vGpffcw5zzDQGjLU6g86usomfMxhLb+dcwfEmeKtvydS7k14k7bp556Gu1t7QiFQgP+aW9rx9NP/9nJtRLROGQWbV2lsyBInpwfX/KZnbaFXbQFdHStS90+XDL7XEjDZC4GZnwYFYdeCwDoXv9gnzevqdt6CifX1lt3LGpOvBuTP/QUqo76pq37Fj0VEF0BGIY+5hdZmaItO217ywwhs3dwlJVpy07bcc1b2/uW2sKg9OwCALiCM/K7kBGw8mx7dqBQ7xIhZ4W2pd53lcz4MATJO+A2cvo6qnIIGdlEsXJtp1nRCMnOzdATXTlfi/n7Y7hc27KFn4UgyojtfxOJtndzsTQAvTpt3b07be2NRwAyHziKsi+17/TvMkqJ7HkRWrwdsq/G6kYeCznQAICdtpR7I+60vf6rNzi5DiKaoLRYC7R4ByRvJVxls5Hs2JDT45uZnFq8I6fHHYtEy0rEmpfDV3csyhdeifbltw+4nX/q6ag44isAgJ5Nj6Nn02N9vq9Gm+Aqmwk5MAkJpxc9GEGGf+ppCM69yJqADgDeSYuR+jzRniKE2WWrRVvG3MGrpeMRRMkD0RW0XoRPdJmirb2dtmY8gujy8987TyRfLTw1RyC653nAcKIgKFidtrm+pXYoVqdtcCogiA49d3u4yzmEbKKLNy2HEtoLV3AKAtM/iPD2Z/ptI1mZtizakj3U0B54KudDDk6FK5iKksnXdTze8jaAa+CpPjQV1zDA6zx3xXz4J58Mw9DQvf53OV2fnky9fhFEGYLkhaErmW5NGz/wPnAAHDttD6ArCG39K8oXXYng3AsR3fPCmHZj/beLsmhLuTXiTlsiIqdkIhIOzvmxrUzb2OCDFgtJ99rfwjA0+KecCnflgn7f9zWchMqjvwFBEBHa9ld0r3+g3zbmJ8SyP/cT0gXZh5I5F2DSB3+PqqNvhLtsFnQlitCWpzKxDb2mEmfLlWU0AgBAV6Clh9Sx2zbDnIBs5y1+AGDoyXTGdObWXsodd+UC1L3v16g6+hsITD/LkWO4ymZD8lZAV6JItOf2g7qhaNEm6GoMguS2OmoKlSv9YVcup7VToTGsu2hKZn8UgNBvC/OOBTXGoi3ZQ+k1sDEzhOzt/KylZyfUWBtE2Zsq3A6g/JCrAQCRXf/N+XAuQ4vD0DUAqWFksr8egihDV2PQYvbd4aeG98LoVbDmELL+Ijueha7G4C6fA88Ih9cdKDOIjEVbyi0WbYko7/KZa5sZRFb4nbZA6tPzyK7/Asi8EDV5645F1bHfgSBICO98Dl3v3jfgPtR0fqScw3gE0VuJsoWfRcOZT6Di0Gsh+2uhxdvRte53aPz3Jeha+2soXVsBAO7yubYd1+oGjWRXWGREQn+ZYRr2Fm2BzNAcO4u2pfM/iYojb4CY/pmn/ryTjkfNSXdD8pQBAHyTT3TmOOk3+om21QUxgCzDgNqrIFHIzHiEJDttJ7TIrv9AT4bhCk4Z8BZxMxucnbZkFzWcukb66hdD8pTn/cO3RLrL14zc6c07aQk81YdA1xLo2fhwjleW0nsYmRw071DaB1tzdQ3NGhIHAEqI8QgH0pUQIjufAwAE51446scLrhIr5oLxCJRrLNoSUd7lt2hrxiMUeqZtRs+Gh6GrMXiqFsHXcBIAwFN9GKoW3wJBdCG653/ofOceDPaC0My0zUXRVi6ZgoojvoqGDz6G0nmfgOgugRLajY6Vd6Px35citPkJGEoEgDPngRxIddoq2XTaIhORIHlZtAVSRXjR5YdhaI68eLWGkdmUayu6giib/ymUzPgQJp3+IAIzspsgPB4FZp6N6sW3QJQ8SLSvBwB4a46AIPttP5Y1bbyA8mxNVq5tARdtRXcp5PRgRHbaTmyGFkc4PWQ0OOdjfb4nyAFrABIHkZFdlJ5U0VZ0BQAAidZVef3wLWbl2h5QtBVElC+8CgAQ3vrnvN1R13sYWSbP1t5ZAEDmd4EaaYKhxmzf/3gQ2vo0DEODr+4YuEpnDf8ApJo1Sg++DPXv+zWA1PtFQ8tbuBxNUCPOtCUickqy8z0AqRxBwRWwini5kOm0LZ6irRZvQ2jL0yibfznKFl0JLdGF6uPvhCh5ENu/DO0rvo+hMmHNLCbJwXgEd8U8BOddCt+kJRCE1OeDifZ16Nn8J8T3v4GBCsrJri2px9raaWtDPALYaXsgl/nGI9LkyJs1sytM8tfZsj9Xero1kLpFsfLIG+Cf8j50rrqHU4ABlC64AmUHXw4ACO/8FzpX3Yv60x9Kde/VHo1Y46u2HUuQvPBULQRQqEXbnQAKu2hrRiOokUYYajTPq6F8C2//G4JzPwZv3dGQg9OhprvsZDPPNtEDQ4vnc4k0jqiRRhi6CkFMlRHynUueaFkJw9DhLpsFyVttfcgemH4WXKXToSW60bPpibytz+y0FdxBx2KlgEzRlnm2g9OizYjtfTU9U+NCdKz84cAbCjJ8k5YgMOMseOuOhiBIAFIF+J73Hhv4MUQOYqctEeWdnuyxuvXc5Qfl8MgiRG8FgOIq2gJAaMufoMU74CqZgtqTfwJR9iHevBJtb90GGNqQj1XTnbaSpwxCetKsnSRfNWpP+QX8DSdAEEREG5ei+eUvoeWVLyO+fxkG6wA2O21d5XNSQ4BskCnaZhmPEGfRtjenhpCZzPxF2aZ4BPODgOi+V9G55lfQ1Ti8tUeg7vT7EZx7kW3nW9ERJFQe9XWrYNu98RF0vvMTwNAR278MAOBrON7WQ3pqDocguqBGGqFGsvswxQnmG15XcEZ+FzKETDQCu2wpXYhoXAoACM75qPV1M89WY54t2cnQ+nzYGctTnq1JT/Yg2bkZAKysUkHyomzBpwAAPe/9AYaau2aQfuvrHY/gYKxUeMezCG9/Bt0bHrJ93+NJz5YnAQD+qe/r95peDk5D2aKr0XDWE6hefAt89cdBECTEW1ej/e3vo/G5iwYc+EjktAn6LoWICk0+hpGJ3nIIggTD0KDHu3J2XDsYagzdGx4GAAiChETbWrS9edOAk3P7PzZqDdZyYhiZq2w2BFGCGmnC/v9egfY3b0KyY/2wj1PDe6ErUYiyD67gtKzXIXqrIMq+9C38TVnty+q0ZTwCgN55tvbf4gekihAAIPns6rRNFW2TnZsQ3vo0ml64EvHmlRAlD8oPuRp1p95nFcImCkHyovr4OxCYfiYMXUPHOz9Bz8ZHre/H00Vbb/1xtha1vek31fHmlbbt005mp60cnAIIhXlDmjt9rirMs6W00NY/AwD8086A6C4FkMkEZ9GW7GbmpyrhvQUxlCnekiocmxEJwbkXQPJWQQ03Irz97/lcWiYewV1iDdp14gNvQ42gc/XP+XthGErXZsRbV0MQZZTM/igEyYvA9DNRe8rPMOmMh1B60EWQvBXQYm3o2fQ49v/ncrS+dgOie15gLALlDYu2RFQQ8pFra0Yj6PFODBUnUKgiu55DtHEpYk1voXXZd0Z1+6NmRiQ4kGtr5sgmOzeNMrfLsCISXDZ0XLvSXbZapDnrW/gz8QiFMcTKXbkANSfdM+i0ZKe5gs7d4gdkMm3tGkRmdtqa55cW3Y/Wpd9Ax8ofQU+G4K44CHWn/QplCz8LiC5bjlnIRE8Fak++F766Y6GrMbS9+T1E0rmYpkTHemiJbkjuUniqFtl2bCvPtiW/3VmD0WIt0BJdEERXXnLWR8KMR+CbczIl29ch2bkZouRBYObZAAApnXusRplnS/ZS0q/Z4/vfzPNKUsyoHW/tURA9FQjOvRgA0LXhwbwPuzSUVNFW9tVATnd2OvXaiUYmlO62LZl1Lho+9BQqj/o6PFWLYOgaYo1L0brsu2j898fRvf4BRmhRQWDRlogKgplrm4+irRbvyNkxbWXoaH/zJrQt+/aob/0yO09lvwNFWzOSYAy3Pitmrm1F9kVbsxtUiWT/4rjQBpEF514Eb81hqF58m/U8c8npeASzM0zyVmbd7SjIfrjS3S1K19Y+34vs+g/2P/9pRPe+DEGUUDrvE6h//+/gqTokq2MWMrlkCupO/TncFQdBS3Sh9bUbEG96q/+Ghm593TfJnogEyV8HV3AqDF1DvGW1Lft0QqJtDQDAU3NYnlcyAEGCKzgdAJDsYjwCZZjdtiWzzgUEyRrkyE5bslto69Nof/v76N7wYL6XAgBIdmyEroQhecpQfdzNEF1+JDvfQ2zvy/leGvR00da8k1CLd1qFXMqPeNNyKD27IMpeiC4/lNBedK37HRr/fQna3rwJ8aY3AKP4mnlo/GLRlogKQrJrCwxDh+yvheipyMkxJW8lgCIu2mbBKtoG7I9HkEsaUscYw/Avq+Pahk5bs+M32yFkQO94hIr8d2IKEry1RwIARHcQ1UtuhyAHcnh8EXLA/G/sTNFWT3TB0JIQBDHrHGEz9kCNNkNPdg9wrE60L78drW98D2qsDa7gVNSe8lNUHP7l3P675oC7Yj5qT/k55EAD1HAjWl7+ovUzNxAz19ZrU9HWW5u6dTXZsSGvGYPDSbS+CwB562Qfiis4DYLkhq5EoEWzi32h8SW67xVo8XbIvmr4J5+ciUeIsmhL9jK0RGHdLm5oiLesAgB4qlMfunat/R0Gm6GQS3oylWlrxjQ59bqJRsNA+/I70LPpj2h55Stoev5TCG1+AvoEfD9IxYFFWyIqCIYagxraDSB3ubaZTtu2nByvkKjpeAQniraugNmFOYaibVdqmISrbHbWOZqZIWTZF231ZA8MLQkgU+zPF0/lAoiuALREN9RoC1zBaag69jvI1a902V8PQZShq3GrmO0EMyIh22FkmWiErUNuF9+/DE0vfAbhHc8CAEpmfQT1ZzwAT80RWR2/UHjrl6DmpLshecqQ7HwPza98adjb/uItK2BoSbhKJkNOd3dmtYZ03mC8pTDzbE1Wp23VIiA9NbpQuKw82+0ohIIEFRBdsfI7S+ZcYHXaquy0pQkg3rLC+v+xpjeRaFudv8X0YnbairIXAKMRCoXSsx3d6+9Hon1tvpdCNCwWbYmoYJgRCean5E4r+niELGhOxSMIMqRAaniUMoZ4BDW8D7oSgSh7rVuAx8rOoi1QOBEJ3vpjAQDx5rfR9uZN0NU4fPXHoWzRlTk5fmaQxj44WTSyhpH5sxtGZhZtzeiNoRhKBJ2r7kXLq9dDCe+F7KtB1bHfAyBktYZ8C8z4EKqX3ApR9iLW9BZaXr0BeqJz2McZagzx1tUAAN+kJdktQhDhrUl1iMfzPG18OErPDmiJHoiyz5aufzuZebbJbkYjUH/hHc/C0JLwVB5s3fXCTluaCOLNb8MwdBiGju519+d7ORaz09bETlsiGi0WbYmoYMTS+Yn+hpNycjxzqJQWb8/J8QqJmr6t1u5BZHKgHoIgQVdjY7zNKDOMLLtcW6FX0daeF8haLHWeZHu7frbMW8zjzW9D6dqCjpU/BgCUHnQx/FNPd/z4TufZmszuMLNbbKxc5XMAZIaQjUSibQ2aX/wcDF2F5CmzPuApRnJwOiqOuB6CICG88zm0vfG9UQ0tjO1fCiD7XFt3xcEQ3SXQkj1Idm7Oal/OM5BoL8xcW2sIWQ+LttSfnuhCZM+L1t8NQ5uQr3Fo4tGizWh/63a0vXkTlJ4d+V6ORVcOLNqOZkAvERGLtkRUQOJNy6GrccglDXCVzXH8eJlM24n3hkaNNsMwdIiyD6Kn3Lb9ZrJOx97dahZ0XFl0uEm+aoiSB4auWgXqbFm5tnks2oqeCquYbd5iHtv3Mrrf+wMAoPLIGxwf5ucyB7w5/MYj02k79qKtIHngKjWHNo28aAukMvtUcw0OxIjkin/KqRAEEbHm5eh8527A0Eb1+HhTajq4u3J+VnnjZjRCouUdAIU/4KNQc23dZjxC17Y8r4QKVXjbX6z/r8XaR/0zT1SsYo2vIr7/jXwvow9d6ZvfroTYaUtEo8OiLREVDEOLI968HADgn3yy48cT07e5mx2UE4quWEVIOyMSrC7MYbIyh2Lm2mbTaWt12UaabJsAWwjxCN7aowCkCtu9b2/v2fAwYo1LIUhuVC++DaKDnaG56rQ1J55nU7R1lc6EIEjQ4h3Qx/DhjObgwL5cMa+l0d0vDrPlwLRYG5KdmyAIInz1i8e8jkyH+IphtiwMmVzbQ7LO17aL6KmA5K2EYegF1UlGhUXp3m4NZdJirXleDdHE1jsewTD0rF4fE9HEVBivQomI0mL7XgUA+Caf4vCRREjprrGJOi00E5FgX0HKzNDLptNWSXfausvmjHkIUKZ4bF9hUS2ATltv3TEABsoENdC+4gdQundA8lWjevFtEES3I2uw/m0d7haxBpH5xp5p67KGkI2uyzazBucG9uWCHJwOV+kMGLqCWBbdR+Zjx5prK7hK4K5MDZjsPSymkCnd26EnQxBdfisXOd/MaAQ13DiqiAuaeHre+wMMLYl4yzv5XgrRhNY7HkGLNgG6ksfVEFExYtGWiApKrOmt1LTy4BS4Smc6dhzRUwZBlGAYOrTExCzaOjGMTA5kP/xLjTRCT4YhSG7r1vZ8rONA+Y9HEKxbzAca5GSoUbS++T1oiR54Kg9GxZFftX8FkhdyuvPV8U5bG+IR3NkWbSPpoq3dA/tyxOyyjTevhKFGhtl6cGauraf2KAiSZ9SP99YcAUGQoPTsKqLOP92aKl0oEQlWNEI3oxFoaIm21dj37Hno2fhwvpdCNKEZShRG+o4vhUPIiGgMWLQlooJiqFGrIOVzMCLBHCykJ7psu32+2GS6CO2MRzBjCbIplvYaRlY+tnxWV4kDRdt0PIKcp3gEV/lcSJ5y6EoEiY4NA26jRfajffmtMHQNgWlnIDj3QlvXYE0jT3T3G65hNzVd3BNlH0R36Zj2YRZtlTEXbVO3MRZrp615DY3ueyWr/Sjd26FGmyHKXnhqjhz1460PG4qky9aUaE1HJFQfnt+FpLlYtKVRMLREvpdARDCgK2EAzt+hRETjE4u2RFRwoumIBCdzbSVfqmg7EYeQmVS78zoFyepIVLIslmZybcd2W7JsDcuy7wVyvjttM4Wvd4YcLJNoXY2uNfcBAMoWfQ7eumNtW4NcMhWA8122AFK5y+noEsk3hm5bQYarLNWtP/ZO2+LNtJVLpsBdNguGriK2f1nW+zP3MZaIhGLLszXF21YDADzVi1AIL5nNeIRk9/Y8r4SIiEbKSKaLtuy0JaIxyP8rUCKiA8Sa3oChK3CVzoAcHNvt8cMxO20nctFWs279tqcgJfvrIYgSdDU+pqFPvSU7NwEAXGPqtBWtIpu9nbap5yRI7jF3fmbDly6+jqRbMbz9GYR3PAtBEFF17HesYmu2XDkaQmYyc23HEpHgKp0BQXRBS/ZYUQujZf6MSL5qxzKCnWJ22cZb3oGR7vLJRt9cW2HEj5NLpkAO1MPQktZwr2KhdG2DroQhukrgKp+d38WILriC01LrYqctEVHRMKOWkumZDUREo8GiLREVHEOJIN6yEgDgn3ySI8ewiraxiVu0tQaR+Wthx6+DTDRC9pNxrU7bslmAII/qsZK/BoLkhqEloaWLfrbQFWiJrtQxchyRILgCcFcuADBwnu1AOlf/AvG2NRBdJahecgcEV0nW67A6mEN7st7XSJjFVnkMnbbZRiMAqQEierpDRrIxRiQXzDsVzOGO2Uq0vgtdCUPyVsJdcfCIH2d22Sba1xbh8CwdifZ1APKfa+sKTocgytCTIWgxG69rRETkqPaVP0DLa19HsnNjvpdCREWIRVsiKkhmocHX4ExEguStBADr9uuJSIu1w9AVCKJsyy3/ciCVd2pHF6YW2Q89GUoPI5sxunWY3aCR/QDszSvOV0SCt+ZICGJ6kNNIu0YNFe1v3Qo12gxXcAqqjv0uIGT3a18O5rbT1ixOSf66UT/WZQ0h25rVGjLZz8UTkSAHGuAunwtD16whYlkzVMSb0nnjDceP+GHeumMApIahFSMz19ZbfVhe12Hm2SbZZUtEVFT0eAcSre/kexlEVKRYtCWighRrXAZDV+Eun20V4ewkWvEIbbbvu3joUCPpTkYbClJWp204+05boHeu7UGjepzLlmFoA8tb0XaMg5z0RBfa3vgedDUGX90xKF/0uazW4cplpi0y8QjyGOIR7Oi0BTK3NdoVI5ILZjRConU19GSPbfu1cm3rR5hrK7rgqUkVO+MtI+sQLzSJdK6tu/oQjCYWwm7ucnMIGfNsiYiIiCYKFm2JqCDpSgjx1lUAAF+D/REJmUzbidtpC/TuIsz+1m/Z5mKpmf3lLh9d0VYOmMVjB4q28XwVbc1uxdEXvpTubehY8UMAQHDuhfA1nDCmNYjuUojuIABn/m0HosVSHyqMOtNWEDNDm+wq2hZRp60ZKxPd94qt+401L4eha3CVzYQ0gn8PT+VCiLIPWrwDSvcOW9eSK8muLdCVKCR3qTXYLh/clQtT60nnfRMRERHR+MeiLREVLDMiwcxmtJMZj5DtwKxip0XMXFs7O21tKtqOsdPWyl11oBvU6rTNYaatHJwO2V8HXUsg0frumPYRa3wNPZueAACULbxqTDEJVuxEtBmGnhzTOkbL6rQdZaatXDIVouyFrkSzPh/Nou1IipSFQPLXwV1xMAzDxmiENEMJW8PEfJOGj0iwOsSbVwAwbF1Lzhg6Eh1mru3heVmCIHmtzvFiG+ZGRERERGPHoi0RFaxY41IYhgZ3xUG2FBUzhF6ZthO7aGsOI8u601aQIPtT+7CtaJvutHWVzQJE14gfZ3fxuLd8xCOYha9E27tZFUt7Nv0BWqILruBUBKafOerHu4LpaIRQbqIRgMwgMslXPapzwIpG6N6GbIuFmvUzUhxFW78VjbAGenpwnp2siITRFG1bijPP1mR+WJKvYWTuyvkQRAlqtIVDyIiIiIgmEBZtiahg6clu682yebuvHURPGQRRhmHo0OKdtu23GNl167fsr0tNNlfjthXCtWgTtGQPBNE18mFkgmg9F0fjEXLYaZuJRhhdnu2BDDWGnvceAwCUzv8kBNE9qsc72cE8GD3ZA12NAxhdodxtDSHLLhoBKL54BDPPNtb4qiP7j+1/AwDgqToEois46Haip8L671D0Rdt0d2uqaJv7XFtP1aLUOtrX5vzYRERERJQ/LNoSUUGLpiMSfDZGJJh5tnqiGzA02/ZbjKwuQn92nbaZPNtG2HkbtDLKXFvJLB5rCWixVtvWYcp1p60geayp9WPJsz1QeMc/oEabIftqUDLr3FE91opHCO/Jeh2jYXYWyr66ET/GZWfRNtoMw9Ahyj6InvKs9+ckyVcLT+UCGIaO6L7XHDmGFt2PZPd2CKIEb/2xg27nrT0SQDoTNlHcH44lOzdBV2OQPGUj/wDJRp7qQ1LraF+X82MTERERUf6waEtEBS3W+DoMQ4encj6kUeZaDiYzhGxiRyMAvfI6fdWj7rzsTQ40pPZnc3fraHNtXenCoha2t3hssoq2nrJR3a4/Vp7qwyBIbqjRZqih3dnvUFfQs/ERAEBw3icgyIERPzRTtM1dpy0AaOlc25EPIxPgLp8DAFBsKNpCV6wPALL9cMNpvoYTAQCJtrWOFkrj6W7boSISvLW982yLnKEh2b4eQB4iEgQJ7soFAFL/XYmIiIho4mDRlogKmp7otN6o+myKSGDRNkNP9kBXogBSXapjZRX0Io22rMuUHGWnrRxIdfwqEfujEQBAV0LQtQSA3EQkZAY5Zd9la4rsfh5Kzy5InlIE5144wkcJVkFcyWGmLQCoZqftCIu2cqABoisAXUtACe2yZw2R4si1NfNszSGOTjEHnHnrjhn0w4tMnu04KNoCiLeZubaH5fS47vI5EGUf9GQISs/OnB6biIiIiPKLRVsiKnhmAcJvU0RCZghZhy37K3aqDYOW5BKz09begl6ycxMAwFU2c0SdrU4OITPlMiIhk2drX9EWho7uDQ8CAIJzL4DoqRj2IZKvBoLkhqEr1nCwXMkMIxtZ0dZlDSHbDhi6TWtId6QXcNFW8lZbt9HHGl939FjJzs3Q4u0QXYEBO09dZbMgeSuhqzEk0h2qxa5vrm3uuK082/Vw4u4BIiIiIipcLNoSUcEzCxCeqkW2dDdKPrPTti3rfY0HmUFLY7/1Ww6Yt87b22mrxVqgJbrTw8hmDr+OHNzCn6uireSvgys4DYauId6yytZ9xxpfR6LjPYiyD6XzPjHs9nJwKgDzv689hdCRUqNmp+3IOsHN4Ve2RCOYa7B+Rhps26fdrGiE9nU5uLYZ1kCygSISzGiERNu7gK44vJbcSOXaxiF5KyAHp+fsuJ6qVCGeQ8iIiIiIJh4WbYmo4GnxNiTSA1jMwkQ2RHMQGTttAQCamWs71rxOQbQKvmrE/mJpsivVbTuSXNucdNqmC2Kyw/EIZpdtomM9DDVi+/67198PACiZdc6w0RhWNEKO82yB0Wfaum0cQmayirYFnGlrDmuMOhyNYMoUbZf0+14m1mN8RCMAAHQFyY4NAHLbbesxO22ZZ0tEREQ04bBoS0RFwSxE+GyISLAybWPMtAWyj0eQ/HUQRBm6lnDk31TpTBXf3BXzht5QkK2i2niIR3AkGqGXROsqxFtWQhBdKJt/xZDb5msIGQCosbHFIzhStC3QeATRU5GJRtj3Wk6OmWh5B7oag+yvg6tsjvV1QfJY3aHjqmiLTESCN0e5tnLJFEjeChha0hrKSEREREQTB4u2RFQUzEKEp/qQEWVwDiWTacuiLdBryNIYuwhd6eFfWrgRTmQuWp226WLcYORAPQRRgq7GHL09PFO0rXLsGBBkeGuOAOBc0RYAutc/AADwTzsdrtIZg24nB9NF29Aex9YyGPPfW5S9EN2lQ24r+WoheUph6KqtQ5tUqxu9BhBk2/ZrF1/DiRAEEYmODdDSg9ucZuhJxFtWpo7fq9vWU30YBMkNNdoMNZz788VJidbVAABPTW6KtlY0Qud74yZmgoiIiIhGjkVbIioKWqwFiY6NEAQxy4gEIdNpy6ItgMyQpbF2EZqRBErEme7WZLrT1lU69DCyTDeovbm6BzILwnbkKw/GU7UAoisALd4JpWurY8dJdm5CdN+rEAQRpQs+M+h2+YxHgK5kCuXDxDi4K9J5tj07bC1y6YlO6GocgiBBHmFMQy6ZQxpjOYpGMMX3LwPQN9fWW3tU6nvjrMsWSBVPDS0JyVtpXW+cZHZPJxmNQERERDQhsWhLREXDLEj4s4hIEN2lEMRUp5wW77RlXcXO7LQV3UEIrsCoH+90jqwWa4EW74QgynCXzRp+HQ4VjzPrcT4ewYpGaFkJpyfGd294CIahwd9wAtwV8/tvILqsvON8xCMAgBozh5ENXTDNRCPYX+i2sp8LLCJB9JRbnZ/RHEUjmGJNb8EwdLgrDrJ+HjKxHuOvaAtdQcLKtXW+29Zt5tmmM92JiIiIaGJh0ZaIioZZkPDUHAbRXTamfZgDZLREF2Codi2tqBla3Cpgy/7RF6TkgPPDv8x80qFybV1W8djZwqJVtPU6F4/gdJ5tb2poNyK7/gsAKFt0Zb/vy4EGCIIIXQlDT+Tngw5rGJlvmE7bdNFWsTHP1pRt9rNTfJNOgCBISHZugpZeY67oiS5rOJdv0vGQfDVwlU6HYWiIt76T07Xkiplr63REguithKtkMgxDR6J9vaPHIiIiIqLCxKItERUNLbofyc7NEAQJvoYTRv14T/WhqDz6RgBArPF1u5dX1DIFqdHn2uaiw9XMtXWVHzT4OgK5GZalxTsAAILkHvOHB0MRPRVW8THekptuxZ6Nj8LQkvDWHA5P+vZ2kyuPQ8hManRknbZuB4aQWWswh5GN4YMNJ5l3HkRzHI1gijWmIhK8k5bAW3s0ACDZsQmGEs7LepyWaH0XgPOdtp50l63SvR2GGnH0WERERERUmFi0JaKiYhYmfKOMSHBXLkD18XdBlL2INb2JztW/cGJ5RWvMBSlBtAq9TmbJJjtTk9PdQxVtzWxdBzt+AQCGanUmOxGRYGaCJjs3Q0902b7/gWixFoS3/x0AUL7wSgCC9T05OBUAoITyV7Q1h2tJvsGLtqK3EpK3CoahQenebvsarJ+RAuq0Fd2l8KQH1uU6z9YUS+faemuOsK7LufqwIR+SHRtgaEnIvmrIgQbHjmMNIWtnni0RERHRRMWiLREVlVhjKiLBW3PksJPkTa7yuag5/vsQZR/iLSvR9uYtjEY4gHlbtTTKTlvJVwtBdMHQktBirU4sDQCgdKWKtq7SGRBEd/8NRBekdBemkzENJmsYmRNF2xxGI/TWs+lx6EoU7oqD4Jt8kvV1uSA6bZsBwPpvPBCzy1YN7YGhxe1fg1W0HX03ulN8k46HIEpIdm2BGnF2AN9g1PAeKKG9EEQXfPXHAsj9uZtLhp5EsjPV+e9kt605hCzRxjxbIiIioomKRVsiKipqeC+SXdsgiBJ8k5YMu72rdCZqTvgRRHcJEm1r0fbGTbZOlR8vxlqQykQjNMLJgVlarA1avAOCKMFVNrv/Oqzc1UhOclczubZ2F21Fq2gby3HhS092I7TlSQBA2YLPAELqJYIZj6DksWirjSAewclohNQaCm8QmS/P0Qgms9sWAPRkGMnO9/K4GufF21YDcC7XVpD9cKWHLiY5hIyIiIhowiqqou11X/g8Gvftwa233pzvpRBRHsUaRxaRIJdMQc2JP4bkKUWiYyNal33bkQ688UCNpDNtRxmP4MpVJAGAZLrb1l3RPyLBKh7nYB1Ar6KtzZ227oq5kDxl0JWwNeApl0Jbn4aW6IIrOBWB6WcCKIxOWysewVsFiK4Bt3E5XLQ1f0YkdykEV4kjxxgNwVUCb+2RAPIXjWDqXbSNt74DGHoeV+O8RGt6GFl6sKXdPJULIAgS1Eij1dVPRERERBNP0RRtDzvsMFx22aVYvyH3b2KJqLCYXWXe2qMguAIDbiP5J6HmpLsheSuQ7NqC1qU3wlCjuVxmUVGtLsJRdtoGclcstXJtByjaunJdtHUoHsEc5BRvWQUYmq37HglDjaHnvccAAKXzPwnRUwHJWwEgv0VbPdkDXY0BAGRfzYDbmJ22ikNFW0OLW0PoCiHXNhWN4EKye3te/9sAQLJjPbRENwAg3rIyr2vJhWTHBhi6CtlfB8lvf1yGm9EIRERERIQiKdr6/X788pc/x9e/8U10d3XnezlElGdqaDeUnp3pDMX+EQmSrxa1J90N2VcDpWcnWl//5ridZG4XLdoCw9AgSh6I3soRPy4Tj5C7TlvXAMPIzG5QJZKb4pVT8Qj5yrPtLbzjH1CjzZB9Nag49AsAUs/XSBdN88WMSBgo11Z0l0L21wEAkl3bHFtDpiM9/7m2/vSdBvnusgUAGDq61v4K0b2vILrnpXyvxnGGFrciILwORCR4qhYB4BAyIiIioomuKIq2d911B1588SW89trrw27rdrtRUlJi/QkEBu7CI6LiZnbb+g+ISBC9lag56ceQA/VQQnvR8trXoCf5Yc+wDM0qRI6mIJXLWAKz09ZVOh2C5Om7jhx2/ALOxCMIrgDclQsA5HmQk66gZ+MjAAD/1NMA5DfP1qTG0sPIfHX9vmdGIyjhvTDUiHNrSA/7ynenrSAH4K09CkD+82xN0d3Po335bRPmjoZEmxmRYHPRVnTBXTk/fQwWbYmIiIgmsoIv2p77kY/gkEWH4Pvf/8GItv/idV/A5k0brT+r3lnh8AqJKB/M7jJv3TEQZD8AQHSXofbEH8NVMgVqZD9aX/9aToZSjReZYWQjLUiJ1ra5KJbq8XZo8XYIQv9hZDnPtHUgHsFbcyQEUYLSs8vKcM2XyO7nofTssv6e79vvgaGHkTkdjWAyY0TyXbT1TVoMQXJD6dkFNbRr+AeQ7RKt7wKwP9fWXT4XouSBluiCGt5j676JiIiIqLgUdNG2oWESbrvtFlz3xS8ikUiM6DG/+OV9OGjefOvPEUce7egaiSg/lJ4dUEJ7IEhu+OqPg+gKoubEH8FVOgNqrBUtr30NWqw138ssKlp0dLd+S/4aCKILhpbM2b+1lWvbKyJBkDxWIS9XxUXV7LR1l0IQ3bbssxCiESyGju4ND1p/LaSireTv32nrLp8DAEh2bXV2DREz+znPRdvJpwAonC7biSjRvg6GrkEOTILk6/9Bwlh5qg6x9k9EREREE1tBF20PPeRQ1NTU4D//fg67d+3A7l07cPzxS/DZz3wGu3ftgCj2X34ymUQ4HLb+RCLO3SZJRPlldtv6p38Q1Sf8AO7yOdDiHWh97WtWAZJGTh1lQcrMkU09znBqWX0kOzcBANwV8zLrCDQAAPRkCHqyJyfrMJQwdDUOwL5u24Iq2gKINb5uFY4S7fkfAqqmu4/lAQpkZjxC0ulOWyvTNn9FW0H2wZc+Vwoiz3aCMrQ4kl2p65HHxlxbT3UqzzbJIWREREREE56c7wUM5bXXX8dp7zu9z9fuvecn2LptK+6771fQdT1PKyOiQhDd9ypKD77UKmBoiW60vv71gugKLEajHbJkFktz+e9tFuXM2+GBTDSCkqNoBJMWb4NYMgWSr9rKOh0rOTgdsr8WupawsjILQevSb8EVnGoVy/NpsEFkghyAyxxE53jR1oxHqEPqc+/cvw7x1qejEUJ7ofRsz/nxKSPRugaeygXwVB+G6O7nbdijALc1hKxwrgNERERElB8FXbSNRCLYtKnvG8VoNIrOzs5+XyeiiUfp3go13Ai5pAF6MoTW178BpWdnvpdVtDIFqZEVbV1Wp212BcvRSHal4hHk0mkQJC8MLZ7p+M1xsV6LtcFVMgWSN/tOW7PLNtH2Lgw9mfX+7GKo0YIo2AKAGk0PIjugaOsun2193+lOay3WBkNXIIguSL7qvGQPm8MXY/teyfmxqa9E27vAvEtsy7WVg9MguUuhqzHHoz6IiIiIqPAVdDwCEdFwujc+jETHBrQuvRFKN9/kZkNNR0pI/lpAkIbdXi5JddoqOSyW6vEOqLG21DCydI6pNYQskuNO25h9w8jMbvF4U2FEIxQiLdYGw9AhSh6I7jLr67mKRkjRoUZSxeO8DCMTXfDWHQuAebaFING+DoahwVUy2ZbrgKc6lWeb7NgIGFrW+yMiIiKi4lbQnbYDueDCi/K9BCIqINE9LyK658V8L2Nc0OMdMLQkBMkNyVcLLbp/yO3lQLpYGs5dpy0AKJ2bIPuq4S4/CMn2db3WUZxFW0F0W516hZJnW5AMFVq8A7KvGpK/DnqyG0AmKsPpaASTGt0PV3AK5EB9qtMyh1zB6RBlL7REDz+kKgCGGoXStQXuioNTEQlZ/i7iEDIiIiIi6o2dtkRElGZY3bbDRySIVqdhrjtcrVzbioMAAC6z0zbX8QjxdNE2y3gEd+UCCJIbWqwNaniPHUsbt8xcW7lXRII7p522gDbKgX12cpVOBwAooZ05PzYNLN6ayp61IyLB7LRNtK3Nel9EREREVPxYtCUiIos1jGyYgpTkq4YguWFoSWjR1lwszWJmrLrLD4Igea1O15wPIrOp09Ys1MQLaABZodJi6VxbX6poK0heyMGpAHJXtLWyn/25L9rKwWmpNfTsyvmxaWBmt7Wn+vCs9iP5aiH762DoGpIdG2xYGREREREVOxZtiYjIYkYiyP6hO22t4V+R/QB0p5fVh1mck4NTrVxbLdENQwnndB32FW0PA4Cc32pfjFSr07YOAOAqmwVBkKDF26HHO3KzBmtgX0NOjtebK2h22rJoWygS7WthGDpcwSkQvZVj3o+nahEAQOneAkOL27U8IiIiIipiLNoSEZHF7LSVholHMIeQ5ToaAQD0RCfUaAsEQYR/8impdeS4yxboHY9QBUAY205EF9xVCwAACXbaDkuLpjtt0/EIuY5GADCKCBH7ZeIRduf82DQwQ4lA6d4GIPMBzFh4qlNF20Qb82yJiIiIKIVFWyIisoz01m+X2Wmb4yFkpmTXZgCAf8qp6XXkNs8WALR4BwxDhyDKED3lY9qHu/wgiJIHWrwTKgtxw1JjfTNtzU7rnBZtI6lzXvJWQpC8OTsuRFdm6B7jEQpKojXVJe/NomjrtoaQMc+WiIiIiFJYtCUiIstIuwjNW8Pz0WkLAEpnqmgrpW9Hzss6DA16ojO1jjFGJHhq0tEILNSMiDmITPKl4hHMTlslh0VbQ4lAS/YAyG23ratkMgRRgq6ErS5vKgzxdLSJt+4YCLJ/1I8XXCVwl80CACTa19u6NiIiIiIqXizaEhGRxey0TXURegbdTi5JdfzleviXyey0NeVrHVaurXeMRdv0xHmzU4+GpprxCN4KCHIArtIZAIBkZ+6KtgCgmT8nwwzss5M5hEzpYUd2oUm0roaW6IIcqEfNCd+HIPtG9Xgrzza0x/ogiIiIiIiIRVsiIrIYShh6MjXQSxp0GJmQ6bTNV9G2s2/RNh/xCEDvYWRVo3+wIFrFGubZjoyhhKErUQDprkbRBS3RAy0dm5ArZvbzcDEiduIQssJlqFG0Lr0RejIET9Ui1Bz//VFFZ1jXgXbm2RIRERFRBou2RETUhxpN59oO0kUo+WogSG4YumLdrp5rerLb6roE8lc8toaRjSEewV0+F6Lsg5bsgdKzw+6ljVtmgdbXcAKA3EYjmKzs5xx22ppDyFQWbQuS0rUFLa9/A3oyDE/1Iag+/q4RF2491ek82zbGpBARERFRBou2RETUR6aLcOBOWzMaIVW40nO1rH7Mblst3glDjeZlDWoW8QjmpPlk21oAhp3LGtfU9AcFvvrjAOR2CFlmDbkv2spmpy2HkBUspWszWpd+A7oShrfmMFQvuWPImBkAEEQ33BXzAACJdnbcExEREVEGi7ZERNSHZg0jG7ggZRVt89TdajJzbfMVjQAAWqwdwNg6bc082zijEUbF7LQVXQEAeSra5rrTVhDhKpkCgPEIhS7ZuQmtr98IXYnAW3sEqhffDkF0D7q9u2JeKuYj3m5lJRMRERERASzaEhHRAaxhZIFBOm0DhVG0je7+LxLt6xDa9te8rcGMR5BH3WkrwlNl3hLNou1o9I7FAPITj2ANIhs099lecqABguSGrsbyFklCI5fs3JjKuFWi8NYdhaoltwGia8Bt3YxGICIiIqJBsGhLRER9WF2Ew8YjNOZsTQPRYm1oeeXLiO17Ja9rAEbfaesqmwXRXQJdiUDp3urE0sat3kVLXYnk5TxUoy0wDA2i7IXoqXD8eOYQMjW0G4zSKA7Jjg1oXfYt6GoMvrpjUL144MKt9eENh5ARERER0QFYtCUioj5UKx5h4KKtK9AAAFDyGEtQKMyiregODptd2ZsZjZBoXwcY+csFLkZar07bZNdW5KWIaajQoq0AchORIKeHkCmh3Y4fi+yTbF+HtmXfThVu649F9eJbDijcivBULQDATlsiIiIi6o9FWyIi6kNLDyITXSUQXcEDvitAKkkVbdVwfjttC4GhRqCrMQCjG0ZmFW0ZjTBqaizTaZuPaARrHdaHGw2OH8vFIWRFK9G2Bm3LvgtdjcNXvxjVx90ECDIAwFU2E6LL7LjfnueVEhEREVGhYdGWiIj6MPQktHh6wNYBXYSSrxqi5IGhK9BizQM9fMIZfUSCwKJtFrRYGwxDA5CfIWSmzDAy53NtXcFpADiErFgl2laj7Y3vQtcS8E06HlXpwq2nalHq+x3rAbDjnoiIiIj6YtGWiIj6USMDRyRk8mybeFt/2miLtnJwGiRPGXQ1hmTnZieXNj4ZGtTQHhiGjmTHhrwtw8zSdT4eQYCcLtqq7LQtWonWVWh743swtCT8DSeg6tjvwlNzBAAg2cY8WyIiIiLqT873AoiIqPCokf3wVC2E7O9bkJIDZtF2Xz6WVZC0uFm0rRnR9t6awwCkBhXBUB1b13jWuuw7kLxVeR2Gp6U7bSW/s0VbyV8HUfbC0JJQo/sdPRY5K9GyEm1v3oTqxbfBP/mkzNfbmWdLRERERP2x05aIiPoZbBiZ1WkbZtHWZHXaeqtGtD2jEbKnRZuQ7Fif1zVkutGdLdq6zCFk4b3sbh8H4s1vo+2tW2DoCgDA0BUkO97L86qIiIiIqBCxaEtERP2Yw8gkFm2HNdp4BKto2/quY2si55ldr5KvGhBdjh3HHELGaITxI970FtrevBW6Gkds/5sw9GS+l0REREREBYjxCERE1I9ZkOofj9CQ+j6LtpZMPMLwRVu5ZAokbxUMLYlEJ7vripme6IKuxiDKPsj+OqjhvY4cR+YQsnEp3vQGGv91AQw1nu+lEBEREVGBYqctERH1o0bMom0dACH9VcHqtFWYaWvJxCMMX7S1umw7NgLp26OpeFk/Jw5GJFjxCOy0HXcMNQbAyPcyiIiIiKhAsWhLRET9aLFWGLoGQXJbWa2Srwqi5IGhq9CizXleYeGwOm29VRju1yrzbMcXLRdF23Q8AjttiYiIiIgmFhZtiYioP0OHFksVZs1cWzkwBUB6ABMHIlm0eAcMQ4MgShC95UNuy6Lt+GJ22kr++mG2HBvJVw3RFYCha4wkISIiIiKaYFi0JSKiAanpYWRmF6Fcks6zZTRCX4YOPd4JYOiIBMlfD9lfB0NXkezYkKvVkYOcjkeQzSFk4b2AoTpyDCIiIiIiKkws2hIR0YDUaLpom+4ilEvSnbbs+OtnJMPIzC7bZOcmGBqHD40H1s+IQ0VbRiMQEREREU1cLNoSEdGADuwilAPpTlsWbftR08PI5BEUbRmNMH443WlrDSFj0ZaIiIiIaMJh0ZaIiAakpeMRJKvTdjIAxiMMRIuZw8gGL9p6qw8DwKLteKKlO21FVwlEV9D2/ZudtmoPi7ZERERERBMNi7ZERDSgzK3f9QAEdtoOwSraDtJpK/mqIZc0wDA0JNrX5XJp5CBDS2T+2zvQbStbnba7bd83EREREREVNhZtiYhoQOat35KvBpK/DqLshaGrVjGXMqxM20E6bT1VqWgEpWsrDDWas3WR85zKtRU9FZDcpTAMHWpoj637JiIiIiKiwseiLRERDUhPdEJXYxAEEd6aIwCkC1SGnueVFZ7hOm09NYxGGK+cyrV1BadZ+zf0pK37JiIiIiKiwseiLRERDUqLNgMAvHVHAQDUcGM+l1OwMkXbqgG/76k6BAAQb3s3Z2ui3HCsaJuORlA5hIyIiIiIaEJi0ZaIiAalpoeReWrMou3efC6nYJnxCKKrBILk7fM90VMBV+l0GIaOZBvzbMcbq2jrt7doK6eHkCkcQkZERERENCGxaEtERINSo+lcW09p6u8RdtoOxFBj0JUIgP4RCZ7qVJet0r0DuhLK+drIWZpj8QgcQkZERERENJGxaEtERIMyO22tv4f35WklhW+wXFtPdWoIWYLRCOOS9cGGvw4Q7HtZxXgEIiIiIqKJjUVbIiIalJYuSJlYtB2cGZEgeQ8s2ppDyNbmfE3kPC3WDkNLQhAlSL4aW/YpuoKQvJUA2GlLRERERDRRsWhLRESD6t1pa+ga1GjTEFtPbFqsHUDfTlvRXQp32SwAQKJ9TV7WRU4zrJ8LuyIS5OA0AIAabYahxmzZJxERERERFRcWbYmIaFC9i7ZqtAkwtDyuprBZnba9irbuqkUAUsOk9ERXPpZFOWD+nMiBBlv2Z0YjcAgZEREREdHExaItERENylAj0BI9AAA1wmiEoViZtr3iEbxWNAK7bMcz1eZhZOYQMpXRCEREREREExaLtkRENCQz15Z5tkMbaBAZh5BNDFrEHEZWb8v+5NJUPILCIWRERERERBMWi7ZERDQkJbQn9b+8VXtIB8YjCHIArvLZADiEbLxTo40A7O+0VXp22rI/IiIiIiIqPnK+F0BERIWte8ODSHZtRnT38/leSkFTrXiESkAQ4alaCEGQoIT3WQVdGp8ymbbZF20F2Q/ZXwcAUBiPQEREREQ0YbHTloiIhqRFmxHe+mcYWjzfSyloerwThq5BECRInkp4mGc7YZhFW8lTDkH2ZbUvV3AqgFTchqGEs14bEREREREVJxZtiYiIbKFDS3QAACRfFfNsJ5DUwL5uAIDsz67bVg7OAMAuWyIiIiKiiY5FWyIiIpuYw8jkkqlwVxwEAEi0smg7EZgD+7KNSHAFOYSMiIiIiIhYtCUiIrKNWbT1TT4ZgihDjTZDi7XkeVWUC2okVbSVsi3alppDyFi0JSIiIiKayFi0JSIisok5cMxXfywAdtlOJGbR1sykHStXMFW0VdlpS0REREQ0obFoS0REZBOz01YQXQA4hGwiSbRvAJDuspa8Y9qHIHkgBeoBsNOWiIiIiGiiY9GWiIjIJmbR1sSi7cQRb3oLSngvJHcpAjPOGtM+5JKpEAQRWqIberLb5hUSEREREVExYdGWiIjIJmY8ApAq4KqRfXlcDeWWjtCWpwAAwTkfA4TRv8TiEDIiIiIiIjKxaEtERGST3p22cXbZTjjR3c9DS3RBDkyCr+GkUT9eTg8hUxmNQEREREQ04bFoS0REZJPeRVtGI0w8hpZAePszAIDSgy4a9ePNIWTstCUiIiIiIhZtiYiIbGJocajRFhiGhkTrqnwvh/IgvO0Z6FoC7oqD4ak+dFSPdaU7bTmEjIiIiIiIWLQlIiKyUdubN6F16beghvfmeymUB3qyG9Fd/wEABOeOottWkCEHJgMA1NBuJ5ZGRERERERFhEVbIiIiGyldW5BoWZnvZVAehbY8DcPQ4Zu0BHI68mA4cslkCKIEXQn3GWhHREREREQTE4u2RERERDZSI/sQa1wKAAjOvWBEj8lEI7DLloiIiIiIWLQlIiIisl1oy5MAgMDU0yF6KobdnkPIiIiIiIioNxZtiYiIiGyW7NiARPt6CJIbwdnnD7u92WmrcggZERERERGBRVsiIiIiR4S2/AkAEJh1DgTJO+S2MjttiYiIiIioFxZtiYiIiBwQa3wDSngvJHcpAjPOGnxDQYSrZAoAFm2JiIiIiCiFRVsiIiIiR+gIbXkKABCc8zFAGPhllxxogCC5oasxaNGWXC6QiIiIiIgKFIu2RERERA6J7n4eWqILcmASfA0nDbiNOYRMDe0GYORwdUREREREVKhYtCUiIiJyiKElEN7+DACg9KCLBtxGTg8hUziEjIiIiIiI0gq6aHvddV/Av/75LDZv2og1767Cgw/cj9mzZ+V7WUREREQjFt72DHQtAXfFwfBUH9rv+y5rCNnuXC+NiIiIiIgKVEEXbZcsXoyHH3kEZ59zLi75+Ccgu2T88fHH4PP58r00IiIiohHRk92I7voPACA4t3+3rSs4DQCHkBERERERUYac7wUM5dLLLu/z96985atYt/ZdHHrooXjrrbfytCoiIiKi0QlteRqBmWfDN2kJ5OB0qFaBVoCcLtqqjEcgIiIiIqK0gu60PVBpaSkAoKurK78LISIiIhoFNbIPscalAIDg3Ausr0v+OoiyF4aWhBrdn6/lERERERFRgSmaoq0gCLj11puxfPlybNq0adDt3G43SkpKrD+BQCCHqyQiIiIaWGjLkwCAwNTTIXoqAAAucwhZaA9g6HlbGxERERERFZaCjkfo7a677sTB8+bhvPM/OuR2X7zuC7jhhq/maFVEREREI5Ps2IBE+3p4qhYiOPt8dG940MqzVTmEjIiIiIiIeimKTts777gdZ5z+flxw4cXYv79pyG1/8cv7cNC8+dafI448OkerJCIiIhpaaMufAACBWedAkLyQg2anLfNsiYiIiIgoo+A7be+843aceeaZuODCC7Fnz55ht08mk0gmkzlYGREREQisEX8AABQQSURBVNHoxBrfgBLeC1fJFARmnJWJR+AQMiIiIiIi6qWgO23vuutOfPSj5+ML130R4XAENTU1qKmpgdfrzffSiIiIiMZAR2jL0wCA4JyPwcVOWyIiIiIiGkBBd9pe8alPAgD+8uen+nz9K9d/FU8++dRADyEiIiIqaNHd/0XZgisgByYBAAxdhRrel+dVERERERFRISnoom3D5Kn5XgIRERGRrQwtgfD2Z1A2/1MAkCrYGmqeV0VERERERIWkoOMRiIiIiMaj8LZnoGsJAIxGICIiIiKi/li0JSIiIsoxPdmNyM5/AQCSHRvyvBoiIiIiIio0BR2PQERERDReda35FeJNbyHeujrfSyEiIiIiogLDoi0RERFRPhga4s1v53sVRERERERUgBiPQERERERERERERFRAWLQlIiIiIiIiIiIiKiAs2hIREREREREREREVEBZtiYiIiIiIiIiIiAoIi7ZEREREREREREREBYRFWyIiIiIiIiIiIqICwqItERERERERERERUQFh0ZaIiIiIiIiIiIiogLBoS0RERERERERERFRAWLQlIiIiIiIiIiIiKiAs2hIREREREREREREVEBZtiYiIiIiIiIiIiAoIi7ZEREREREREREREBYRFWyIiIiIiIiIiIqICwqItERERERERERERUQGR872AXAkEAvleAhEREREREREREU1gI61RjvuirfkPseqdFXleCREREREREREREVGqZhkOhwf9vjCpYYqRw/XkRV1dHSKRSL6XkROBQACr3lmBI448esI8Z8odnl/kJJ5f5CSeX+Qknl/kJJ5f5CSeX+Qknl/kpGI/vwKBAJqbm4fcZtx32gIY9h9hPIpEIkNW64mywfOLnMTzi5zE84ucxPOLnMTzi5zE84ucxPOLnFSs59dI1sxBZEREREREREREREQFhEVbIiIiIiIiIiIiogLCou04k0wm8ZOf3INkMpnvpdA4xPOLnMTzi5zE84ucxPOLnMTzi5zE84ucxPOLnDQRzq8JMYiMiIiIiIiIiIiIqFiw05aIiIiIiIiIiIiogLBoS0RERERERERERFRAWLQlIiIiIiIiIiIiKiAs2haY6677Av71z2exedNGrHl3FR584H7Mnj2rzzYejwd33XkH1q1bgy2b38PvfvsbVFdX99nm9ttuxb+f+yd2bN+K5//77wGPdcopp+Af/3gGmzdtxNo1q/G73/4GU6ZMcey5Uf7l8vw655yz8fx//41tWzdj+Vtv4NprrnbseVFhsOP8WrBgPv7vvl9ixdtvYdvWLXjl5Zfw2c9+pt+xlixZjP/8+1/YsX0rlr7+Gi666ELHnx/lV67Or9raWtz3y1/gtddewd49u3DrrTfn5PlRfuXq/DrrrDPxxB8fw9o1q7HpvQ34+9//hlNOOSUnz5HyJ1fn17HHHINn/vYXrFu3Btu2bsGrr/wPV111ZU6eI+VPLl9/mY45+mjs3rVj0PcBNH7k6vxasmQxGvft6fenpqYmJ8+T8iOX1y+3241vfvMbWP7WG9ixfSveenMZLrn4YsefY7ZYtC0wSxYvxsOPPIKzzzkXl3z8E5BdMv74+GPw+XzWNrfccjPOOON0XH31Nfjoxy5EXX0dHrj/t/329cQTT+Lv//jHgMeZOnUqHnrwfixdugxnfOBMfOITl6GysnLA/dD4kavz67TTTsUvf/FzPPr7P+C0952Ob337O7jqqqvw6Ss+5dAzo0Jgx/l16CGHoq2tDdd98cs47X3vx89+/gt8+1s39jl3pk6dit8/+giWLnsDZ3zgTNx///24+8c/YuFjnMvV+eV2u9He3o6f/ezn2LBhQ06fI+VPrs6vxYuPw6uvvobLLv8UzjzrQ1i27A088vCDWLRwYU6fL+VWrs6vaDSKhx56BB/96AU45dTT8NOf/Rzf/MbXcemln8jp86XcytX5ZSotLcXPfvZTvP760pw8P8qvXJ9fJ550Mg47/EjrT1tbW06eJ+VHLs+v3/z6VzjxxBNww9e+jpNOPhWf/8J12LZtW86e61gJkxqmGPleBA2usrIS69a+i/M/egHeeustBINBrF2zGl+47ov45z//BQCYM3s2Xn31ZZx9zkfwzjur+jz+hq9ejzPP/CDO+MCZfb7+4Q9/CP933y8xY+ZsGEbqFDjjjNPx0IMPYMbM2VBVNTdPkPLKqfPrvl/+ArJLxtVXX2t97TOfvgKf//y1OPqY45x/YlQQsj2/THfdeQfmzJ2Diy66BADwnW9/C+9///vxvvefbm3zq/+7D6Wlpbj0ssudf2JUEJw6v3p7+qknsX7Detx8862OPhcqPLk4v0z/e+kF/P3v/8C9P/2ZI8+FCk8uz6/7f/dbRGNRfOlLX3HiqVABcvr8+tX/3YftO3ZA17QB3wfQ+ObU+bVkyWL8+emncPD8hejp6cnZ86HC4tT5deqpp+JX//dLLDn+RHR1deXq6diCnbYFrrS0FACsE+vQQw+B2+3Ga6+9bm2zdds27N27F0cdddSI97tmzVrouo5LLr4IoigiGAziYx/7KF577XUWbCcQp84vt9uNRCLR52vxeBwNDQ2M4JhA7Dq/gsFgn1+uRx11FF57/bU+27z88is46qgj7Vs8FTynzi8iIHfnlyAIKCkp4Tk4weTq/Fq0cCGOPvoovPnGm7asm4qDk+fXxRddhGnTpuGee+61fd1UHJy+fj3/339j1Tsr8MQfH8MxRx9t69qp8Dl1fn3gA2dgzZo1+Py112Dlirfx2muv4KbvfRder9eR52EnFm0LmCAIuPXWm7F8+XJs2rQJAFBbU4tEItHv06fW1jbUjiLvZc+ePfj4Jy7DjTd+Ezt3bMOm9zagYdIkXH3NtcM/mMYFJ8+vl195BR866yyceOIJEAQBs2bNxNVXfw4AUFdXa9+ToIJl1/l19NFH4SMfOQeP/eFx62s1tTVobe17q1RrWytKS0uL4hcvZc/J84sol+fXtddcDb8/gL//41n7ngAVtFycXytWLMeO7Vvx3HP/xMOPPIrH//iE/U+ECpKT59fMmTPw7W/fiC9+6UvQNM25J0EFy8nzq6WlBd/45o248qqrcdXnrkZj4348/fSTOGTRIueeEBUUJ8+v6dOm4ZhjjsG8g+fhs1dehZtvvgUf/vCH8P277nTuCdlEzvcCaHB33XUnDp43D+ed/1Hb911TU4Mf//iHeOqpp/G3vz2DQEkJvv61G/C73/4aF1/C3KuJwMnz67HHHseM6dPxyMMPw+WSEQqF8cADD+BrX7sBuq7bfjwqPHacX/PmzcNDDz6Ae+79KV559VUbV0fFjucXOSlX59f5552Hr371enz6M59Fe3v7mI9FxSUX59f5538MgUAARx55BL797W9h546d+Nszz2SzbCoSTp1foijivl/+Enf/5B5s377DruVSkXHy+rVt23Zs27bd+vuKFSsxffp0XPW5KxnvMkE4eX6JogjDAK677ksIhUIAgFtuvQ2/++1v8K1vfwfxeDzr9TuFRdsCdecdt+OM09+P8z96Afbvb7K+3tLaAo/Hg9LS0j6fNtTUVKOltXXE+7/iik8h1BPCHXfeZX3ti1/6ElaueBtHHnnEoNkgND44fX4BwJ13fR/f/8EPUVtbi/b2dpx44gkAgF27dtvzJKhg2XF+zZ07F0/+6Y/4w2OP42c/+3mf77W2tKKmprrP12qqa9DT01PQv3DJHk6fXzSx5er8OvcjH8Hdd/8In7v6mj63/NH4lqvza8+ePQCA9957DzU1NbjhhutZtJ0AnDy/SkpKcPjhh2HRooW4847bAaSKIKIoYveuHfj4Jy7F0qXLHH6GlE/5eP21evVqHHPsMfY9CSpYTp9fzS3NaGpqsgq2ALBly1aIoohJk+qxY8dOZ56YDRiPUIDuvON2nHnmmbjwooutF12mNWvWIplMWgUwAJg9examTJmClStXjvgYPp+vX8ejpqX+Loo8LcazXJxfJl3X0dTUBEVRcN5552LFihXo6OjI+jlQ4bLj/DrooIPw9FN/wlNPPY0f/vBH/Y6xcuVKnHjCiX2+dvLJJ2HlyndsfjZUaHJxftHElavz67xzz8U99/wEn//8dXjxxZeceTJUcPJ1/RIFAW63254nQQXL6fMrFArhtPedjjM+cKb159Hf/wFbt27FGR84kw0/41y+rl8LFy5AS3OLPU+CClYuzq+3316B+vo6+P3+zH5mzYKmaX2KxIWInbYF5q677sT5552LT3/mSoTDEdSkczpCoRDi8ThCoRD++MSfcMvNN6GrqwuhUBh33nEbVqxY0eeX5YwZMxAI+FFTWwOv14uFCxcAADZv3gJFUfDiiy/ic1ddieu/8mX87ZlnUBIowY03fhN79uzBunXr8/LcyXm5Or8qKyrw4bM/jDeWvQGP14OLL7oIZ3/4bHzsggvz8rwpN+w4v+bNm4ennnwCL7/yCn7z299Z+9A0zSr4P/r7P+DTn74C3/3Ot/HEE3/CCSeegHPOORuXf/KKvDxvyo1cnV8ArGtaIBBAVWUVFi5cgGRSwZYtW3L8rClXcnV+nX/eefjpT+/BTTffgndWrbK2MY9B41Ouzq8rPvUp7Gvch61btwIAFh93HK655mo88OBDeXjWlCu5OL8Mw7AyJk3tbW1IJBL9vk7jS66uX1de+Vns2b0HmzZvhsfjwSc+cQlOOOEEfPwTl+bniVNO5Or8+utf/4brv/Jl3HvvT3D33fegsrIS3/3ed/DEE38q+Ds1hUkNU4x8L4IyGvftGfDrX7n+q3jyyacAAB6PBzff9D2ce+658HjcePnlV/Ctb38Hrb3aw59+6kkcf/ySfvs59rgl2Lt3L4DUrXmf//w1mDVrFmKxGFaufAd33nkXtm7b5sAzo0KQq/OrsqICDz/yEOYffDAEQcDKlSvxgx/+CKtWrXbkeVFhsOP8uuGr1+OGG77abx979uzBcYuPt/6+ZMli3HrLzZg7dy7272/CT3/2M+sYND7l8vwa6FgHbkPjS67Or8F+f/7pyadw/fX9H0vjQ67Or898+gpcdtllmDZtKlRVxa5du/DY43/E73//BxgG3/KNV7n8/djbDV+9Hmee+UGc8YEzbXomVIhydX59/tprcOmll6K+vh6xeAwbN27Evff+FMuWveHQM6NCkMvr15zZs3HHHbfhmGOOQWdnJ/7+j2fxox/9mEVbIiIiIiIiIiIiIho5hpcSERERERERERERFRAWbYmIiIiIiIiIiIgKCIu2RERERERERERERAWERVsiIiIiIiIiIiKiAsKiLREREREREREREVEBYdGWiIiIiIiIiIiIqICwaEtERERERERERERUQFi0JSIiIiIiIiIiIiogLNoSERERERERERERFRAWbYmIiIhowrj33nvQuG8PGvftwa6d2/Hu6nfwxB8fwyUXXwxBEEa8n4suuhAbN6xzcKVERERENJGxaEtEREREE8pLL/0Phx1+JI5bfDwuu+yTWLrsDdx22y149JGHIUlSvpdHRERERMSiLRERERFNLMlkEq2trWhqasLadevwi1/8Ep/+zGfx/ve/DxdfdCEA4HOfuwovvvA8tm7ZhBVvv4W77roTfr8fALBkyWL89N57UFZWZnXt3vDV6wEAbrcbN33vu1i54m1s3bIJz/7j71iyZHHenisRERERFScWbYmIiIhowlu6dBnWr1+Ps846CwCg6zq+d9NNOPW09+PLX7keJ55wPL773e8AAFasWInv3XQzenp6cNjhR+Kww4/Er379GwDAnXfcjqOOOhLXfv4LeP/pH8Czz/4Tj/3h95g5c0a+nhoRERERFSEWbYmIiIiIAGzdug1Tp04BANx//wNYtuwN7N27F0uXLsMPf/RjfOScswEAiqIgFArBMAy0traitbUV0WgUkxsacPHFF+FzV1+L5cuXY9euXfj1b36Dt99+GxdffHE+nxoRERERFRk53wsgIiIiIioEgiDAMAwAwEknnYjrrvsC5syeg2CwBJIkw+fzwuf1IhaPD/j4g+cfDFmW8fprr/T5utvtRmdnl9PLJyIiIqJxhEVbIiIiIiIAc+bMwe49ezBlyhQ88vBDePT3f8APf/gjdHV14dhjjsU999wNl9s9aNE2EAhAVVWcedaHoGl6n+9FIpFcPAUiIiIiGidYtCUiIiKiCe+EE47HggXz8bvf3Y9DDz0Eoiji1ltvszpvzznnnD7bK0kFkiT1+dq6desgyzKqqqqxfPnynK2diIiIiMYfFm2JiIiIaEJxu92oqamBJEmoqa7Gqaedii9e9wU8//zzeOrpp3HwwfPgdrvxmc98Gs8//wKOOeZoXH75ZX32sWfvHpSUlODEE0/AhvUbEIvFsH37Dvz5z3/Bz392L2697XasW7ceVVVVOPHEE7Bx40a8+OJL+XnCRERERFR0hEkNU4x8L4KIiIiIKBfuvfceXHzRhQBSA8W6u7uxYcMG/PWvz+DJp56yOmuvuupKXHvNNSgrK8Wbb76Fv/z1r/jFz3+Gg+cvRE9PDwDg+9+/C+ec/WFUVlbiJz+5Bz+5517IsoyvfPlLuOCCj6G+vh4dHZ145513cPdP7sF7772Xt+dNRERERMWFRVsiIiIiIiIiIiKiAiLmewFERERERERERERElMGiLREREREREREREVEBYdGWiIiIiIiIiIiIqICwaEtERERERERERERUQFi0JSIiIiIiIiIiIiogLNoSERERERERERERFRAWbYmIiIiIiIiIiIgKCIu2RERERERERERERAWERVsiIiIiIiIiIiKiAsKiLREREREREREREVEBYdGWiIiIiIiIiIiIqICwaEtERERERERERERUQP4fRCTmsHEGcscAAAAASUVORK5CYII=" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 65 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3016,28 +1666,12 @@ "id": "69fc84adeb32769" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:53.082547815Z", - "start_time": "2026-05-20T13:46:52.925632055Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_delay_categories(df)", "id": "5100e62591297ee7", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 66 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3046,28 +1680,12 @@ "id": "82568c9463535dd0" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:53.363538299Z", - "start_time": "2026-05-20T13:46:53.087385351Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_correlation_matrix(df)", "id": "16feaf4b7255ddbb", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 67 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3076,28 +1694,12 @@ "id": "42cf543f09afa0b" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:53.482535110Z", - "start_time": "2026-05-20T13:46:53.367832779Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_cancellation_by_service(df)", "id": "23732c273635195", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 68 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3149,12 +1751,7 @@ "id": "44a8ff0a65bedf70" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:53.639098295Z", - "start_time": "2026-05-20T13:46:53.494358261Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "eplots.plot_delays_by_year(df)\n", @@ -3166,34 +1763,8 @@ " print(f\" {int(yr)}: {val:.2f} min{marker}\")" ], "id": "a2e6e86ba7be501b", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Average arrival delay by year (ranked):\n", - " 2025: 7.27 min ← worst\n", - " 2018: 7.07 min\n", - " 2023: 6.79 min\n", - " 2022: 6.42 min\n", - " 2024: 6.27 min\n", - " 2019: 5.38 min\n", - " 2020: 4.63 min\n", - " 2021: 4.62 min ← best\n" - ] - } - ], - "execution_count": 69 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3213,28 +1784,12 @@ "id": "12168260b2283bb6" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:53.782298018Z", - "start_time": "2026-05-20T13:46:53.640273083Z" - } - }, + "metadata": {}, "cell_type": "code", "source": "eplots.plot_top_delay_periods(df)", "id": "f8c1cd141b093b8a", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 70 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3255,12 +1810,7 @@ "id": "79c28aa8ee138ef3" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:54.053759585Z", - "start_time": "2026-05-20T13:46:53.783946162Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "eplots.plot_delay_heatmap_year_month(df)\n", @@ -3281,34 +1831,8 @@ " print(f\" {int(yr)}: {month_names[worst_m]} ({worst_v:.2f} min)\")" ], "id": "879d62936b3650e3", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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FBQ4d8s3+P9S2bRsIhUIcPnxE5fvGREcjODgYDRt8mf0e7x5bBgYGsLSwwI2bym7X1dT8H/+voiyvMjMzMfC7QQgKCsLWrVuwYf063LlzF98P/1Ftt88POX/+AhITE9GpY0cAQKdOHXHw0CG1bVu0aAEAWL1mrcry/61eAwBo+dVXKsv9/f1VzhXx8fEIDAqCq6trnuPLj/cgIiIqzVjZRkRUSgmFQnTq2BGXL19RuYG6fecOhg//Ho0bNcL5Cxcgk8lw9NgxdOncGXp6epBIJGjbxht6enrw9fXN3s7d3Q0VKlTAw4fqB/e2trJSeR0epr7yqGXLrzB69E+oWqWKynhL/3WfBABnZyfIZDKEvfcewSEhKq+trKxgbm6Ofn37ol/fvmo/z8raWu3y/9StUwcTJoxD7dq1VRJgAGBqYoKUlJTs15qqqT607l2+vr4YNnQIWn/9NQ4cPAhDQ0N81aIFtm7brtKuQoUKmPTzRDRs2ACmpqYq60xMVF9/iLOzEwAgODhYZXl8fHyObpAe7u6oWqWK5t9zLvtTLBZj1MgR+PbbHrC3t1cZX870ncRlcnIyTp0+hS6dO2PhwkUAlF1II1++zO7C9yGaxo+LiIhUef3f7+/9arzkZOVyM3OzD37W++8JAElJSTA3+/C2efUxx7KPz0o0btwIx48dQVBwMC6cv4ADBw7ixs2bObb5bz/l1lHW0NAQRkZGnxR3Wloa0tPTP9ju7l1lJe29e2+PK3d3dwiFQly+9K/abbKk0ux/Ozk6YsLECfi6VStYWJirtDMxVU2KZ2VlIfKl+urL3KSmpmLW7N+xd89uAMCMGb/lKYGujlQqxeEjR9GlS2fcuXsPTk5OOHDgoNq2/53vQt47v8XExCAxMRFOb/7//kft8ZiYlKdjOT/fg4iIqDRjso2IqJRq1LAh7O3t0LlzJ3TunHPA+S5dO+P8hQsAgEOHfNG/Xz+0aN4cfidOoEOHDnj+/DkeP36S3V4oFOLx4yeYOWuW2s+LjFS9eVN3k1qvXj1s2rgBV69ew9SpvyAqOgpSqRTf9uiBru9UOeXVf8mcvfv2Yc+evWrbvPsd3lemTBns2rUDgYGB+G3mLERGRiIrKwstWrTA98OGQvDeZAS53Xjn9ab89u07CAsLQ4cO7XHg4EF83aoVDAwMVBKbpqam2L9vD1JSUrBw0WKEhoYiMzMT1atVwy+/TINQmPtEBZ9DIBDg/PkLWLlqldr1QYFBGrf9ffYsfPttD6xdtx63bt1CSnIKFFBg1UqfHPty79596NihA+rUqY0nT57i669bYfPmLR8cPy0hIQGA5iSZTK6+CkmuoTpJgA/vS03b4t2En4a4hSLRB98f+LhjOSAgAI0bN0WrVi3RvFkztG3bBgMHDsCSJUuxaPESlW3MzMyQnp6e6/H5w/DvMX78uDzF+b7Fi5dg8ZKln7StUCiAXC5Hn779IVfze0tLS3vTToidO/+Gubk5Vq5ciYCAQKS/Toe9vT2W/bk0x6QhEonkk2Y5dXV1xYrlyjHOxGIx1q5djU6duyI6OvqTvt+BAwcxoH8/jB8/Fo8ePVJb6fuuvMas6RjPy7Gcn+9BRERUmjHZRkRUSnXp2gUxMTGYOu2XHOvatmmDNt7emCyeioyMDFy9eg2vXkWhY8cOuH79Oho2bIC//lKdwS8kNBRVqlTBv/9e/OSY2rVrg8zMTPTu01dlzLFve/RQaffiRQREIhFcXV2yxw0DlIN6vysuLg4pKSkQCUWfFFerVi0hFosxcOAglS6G73eJzW+HDx/B4MGDYGxsjI4dOyAsLExlLKcGX34JS0tLDB4yDNeuXcte7uLi8kmf9+JFBABlJVFYWFj2cktLyxxVQqGhoTAyMvyk/dmuXVvs2bMXs2bNzl6mr6+fozIPAM6d+wexsbHo2qULbrvdgaGhIfbu2/fBzwgIUI7x5vqJ+6KgJCYlqf2ezu9VJQHqkyofeyy/fv0avr6H4et7GLq6uli3bg1++mkUlq/wQWZmZnY7V1cXlYHx1dmzd5/KOIwfIzQ07MONNG0bEgqhUIjw8DAEBQVrbFe5ciWULVsWP40eg7173x4jTRo3/uTPfp+trS127vgbUmkWevbqrZwc5sB+7Ph7O77p1h2JiYkf/Z7Xr1/Hixcv0LBBA/yey6Qm/53v3N3dERDw9ndlbW0Nc3NzRLz5//sxPiXZSERERHnHMduIiEohsViMtm28cfr0GRw9eizHz8ZNm2BiYoKvv24FQHljdvToUbRq1RLfdPsGurq6KoP1A8oEkaODA/r06a328wwMDD4Yl0wmh0KhgOidShRnZ2d4e7dWaffPP8oxnQYMGKCyfNCg71Rey+VyHDt2HG3btkHFihVzfJ6lpWWu8WRXLL1ToWRiYpIj+ZfffH0PQywWo0f3bmjWrCkOHz6isv6/qpN3u0rq6upi4ID+n/R5F/79FxKJBIMGDVRZPnTokBxtDx8+gjp16qBp06Y51pmamkKUS6WWTC7P0b1z0HcDoaOT89mfTCbDwYOH0KFDe/To0R2PHz/BkydPP/hdXr16hYiICHjW8Pxg28IUGhIKMzMzVK5cKXuZra0t2nh752ibnp4Os/cScx9zLL+fIM3KysLzZ88hEAhy7Otq1avjpprupe8KCwvDv/9e/KSfd5O3H+vYcT9IpVKMGztW7fr/vqdMpuxi/v6xNXjIoE/+7HeZmZnh7+3bYGRkiG979sLLl68QHByC3n36wtHRAVu2bMrT+U2d6dNnYPHiJdi7T/NYhGfPKieGGTp0sMry74cpZyE9feZMjm0+JD1dOQOrmSm7hRIRERUEVrYREZVCX3/dCiYmJjh58pTa9bdu3c6uKvJ9k1Tz9T2MwYMHYcL4cXj8+IlKhQWg7PbXoUN7zP9jHho2aIAbN25AKBIpZ3/s0B69e/fNnrlUkzNnzmD498Owffs2HDh4ENZWVhg4cACCQ0JQtUqV7HYPHjzAkaNHMWzoEFhYmOP27Tv4sn59eHi4A1Ct2pgzdx4aNPgSR4/4Yvvff+PZs+ewMDdHterV0LhRY1StVj1HHP85f+ECMjMzsXnTRmzbth1GRobo3bs34uJiYW9vl/tO/gwPHj5EUHAwJk36GWKxOPt38J+bN28iISERy/5cgvUbNkKhUKDbN101jlP2IfHx8fjf6jX4adRIbNmyCWfPnEO1alXRvHlzxMXFqbRdtep/+PrrVtiyeSN2796D+w8ewNDQEJUqVUL7dm3xxRdfIv5NV873nT59Gt980xXJKcl49uw56tSujcaNGyE+Pl5t+z1792HIkMFo1LBhrpU/7ztx4iS82+RMYmnTId9DmDZtCtavW4f1GzbAwMAAA/r3Q1BQEDw9VROD9x88QOPGjTBs2FBEvYpCWHgY7ty5m+djecff2xEdE4MbN24iNiYG5cuXx8CBA3DmzNnsrpeAcjZiSwsLnDh5slD3RV6FhoZiwYKFmDp1ClxcnOHndwKpaWlwdXGBdxtvbN/2N/63ejUCAgIQHByCX6f/Ant7e6SmpKBtu7b5NmbegAH94ejogG7de6hU0j569BgDBnyHHTu2o0eP7ti8ectHv/eJkyc/uP8fP36CXbv3oF/fvjAzNcOVq1fh5eWFb3t0x/HjfiozkebVo0ePIJVK8eOIH2BiagJJpiR7MhwiIiL6fEy2ERGVQl27dMHr1xm48GZMtvcpFAqcOXMWXbp0hoWFORISEnHj5k1ERETAyclJZRbSd7cZNGgIhg0dgm7dusHbuzVev85AWFgY1q9bj6AgzWN5/efSpcsYN24CRoz8ETN/m4Hw8HDMmTsPLs7OKsk2ABj90xjERMegU+dOaOPtjX//vYjhP/yIi/9eUOkmFxsbi7btOmDc2DFo26YNBvTvj4SEBDx79gxz5s7NNZ7AwCAM+344fv55IqZP/wUxMdHYsmUr4uLisXTp4g9+n8/h63sYY0b/hKDgYDx4+FBlXUJCIgYMHIhff52OST9PRGJiEvbv34+LFy9hx47tGt4xd/PnL0BmRgb69euHhg0a4PadO+jVuw+2btmk0u51Rga6ftMdP/00Cu3bt0O3bt8gNTUVQUFBWLR4CZLfmTDifb/++hvkMjm6dukCfX193LhxE9/27IW/t29T2/7Bgwd4+tQf5cuXw34Ng8ers3PnLgwa9B3q1a37yd0f81tCQiIGDx6KGTN+xS/TpiI8PBxz5/0BD3f3HMm2mTNnYcH8+Zj080QYGBhg1+49uHPnbp6P5a3btqNrly74fthQGBoa4uXLV9iwYSP+XPaXyud0aN8OL168yPOkE9qwwmclAoOCMGzoUIwbp6xwi4yMxIXzF3DylDJJJZVKMWDgd/h99kyMGjkCmZmZOH7cDxs3bcKZ0+ofKHwMH5+V8PM7gWfPnuVYd/3GDbTv0DFPVZefY8KEiQgLDUWPHt3h7d0aMTEx+Gv5Ciz5xPHwYmJiMHnyFIwcORKLFy2Ejo4OvunWHVeuMNlGRESUHwQOjs4ctIGIiEqEqlWr4NTJExgxcpTGmf2oeDl54jgSEhPx7be9Pmq7Xbt2ICoqCj/9NKZgAivm9PT0cO3qZazwWYn16zdoOxwiIiKiEoVjthERUbEkFotzLBsyZAhkMpnKpAFUfHl6eqJatWoqg97n1R9/zEfHDh3g5JRzAgICvv22B6RSKbZuVV9VSERERESfjpVtRERULI0bOwaenp64dPkyZFIpmjdvjq++aoGt27Zh0qQp2g6PPkPFihXh6Vkd3w8bBktLS3zZoKFK12AiIiIioqKMY7YREVGxdPPmLTRp0hhjRo+GkZEhIiIisWjRYiz7a7m2Q6PP1L5dW4wdOwaBgYH4ccRIJtqIiIiIqFhhZRsREREREREREVE+4ZhtRERERERERERE+YTJNiIiIiIiIiIionzCZBsREREREREREVE+KZETJERGhGs7BCIiIiIiIiIqpRydXLQdQpHwfaRhgX/Gasf0Av+Mj1Uik20AoNjpre0QSjRBTz9EV3TTdhgllq1/CBQH22s7jBJN0PkIFPvaajuMEkvwzTHIlzfVdhglmnDUebz+qpK2wyixDM48xTpBRW2HUWINUfhDPrautsMo0YRLb0CxvbW2wyixBH1OQL6wkbbDKNGEEy9CPqeBtsMosYTTLkPxN88RRAWlxCbbiIiIiIiIiIhIe0rr2GWl9XsTERERERERERHlO1a2ERERERERERFRviutFV6l9XsTERERERERERHlO1a2ERERERERERFRviutFV6l9XsTERERERERERHlO1a2ERERERERERFRviutFV6l9XsTERERERERERHlO1a2ERERERERERFRviutFV6l9XsTERERERERERHlO1a2ERERERERERFRvhNoOwAtYWUbERERERERERFRPmFlGxERERERERER5bvSWuFVWr83ERERERERERFRvisSlW1CoRByuTz7tZeXF4RCAR4+fASJRKLFyIiIiIiIiIiI6FOU1govrX5vJycnHD92FCHBgdi2dQuMjY2xc8d2HDl8CL6HDuKfc2fh4eGuzRCJiIiIiIiIiIjyTKvJthkzpiMtLQ2DBg9Bamoqtm3dDJGODurU/QK1atdFcHAwpk2dqs0QiYiIiIiIiIjoEwgL4aco0mo30vpffIFevfvg0aPHuHbtOp48foiuXbvh1atXAIA//piPrVs3azNEIiIiIiIiIiKiPNNqsk1fXx/JySkAgNTUVMhkMqSmpWavT0lNhYGBgbbCIyIiIiIiIiKiT1RUK88Kmla/t/+zZ+jZ81sAQI/u3ZGQkIBOHTtmr+/cuROCgoK1FR4REREREREREdFH0Wpl2+LFS7Fh/Tr8+MNwyOUK9O7TF4sWzkfDhg0hV8jhVaMGRowcpc0QiYiIiIiIiIjoE5TWyjatJtvOnz+Pps2aw9OzOu7ff4AXL16gS9du+G7gABgYGOCPP+bj8uUr2gyRiIiIiIiIiIgoz7SabAOAFy9e4MWLF9mvY2NjsXDRYi1GREREREREREREn6u0VrYV6e8tEong5Oio7TCIiIiIiIiIiIjyROuVbbmpWLECTvgdh4urm7ZD+WTLzyXA559ElWXu1ro4PspZbfssmQJr/k3EwbupiEqRwd1KFxNaWaBxecNCiLYYEgphNGoMxB27QGhtA3l0FF4f2Iv0lctz3cygdz8Y9B0AkZMzZC8jkL7KBxmH9hdS0MXH8lNx8Dkdr7LM3UYXxye4adwm+bUMf56Iw6mHqUhMl8PRQgdTO9igaSWjAo62eFp+Oh4+ZxNUlrlb6+L4OFe17futjcCN4Iwcy5tWNMTqAQ4FEmNxF5Uqw+LLKbgQmokMqQKuZjqY+5UZqtnpqm1//UUmBhxMyLH8wnc2sDESFXS4xY9QCJ3+IyFq2RECS2so4qIhO3EA0m2rNG/SqBV0OvaEsGxlQFcPitAAZG1eAfnNi4UYeNFk37gOPCcOhlXtajBytMWpzj8i9NCZ7PVuXVqh0vCesK5dFWIrC+z36oT4e09zfU/zKuVQe9ZPsK5dFSZuzrgyZi4eLdtc0F+l2BBMPwSBZc6Hu4qLe6DYtyDnBtWbQ9BqIGDtAgh1gNhwKP7ZBtw8XvDBFlNRyVIsOpOACwGvkZGlgKulDuZ2tEZ1R32N21wLeY35JxPwPEYCB1MdDG9shq5eJoUYdTFibA1B0x8A9/qAjhhIfAHF8blAlL/mbSq3gqBeH8DCGchMBYKvQfGPD5CRXHhxFycm1hA0HwGUrQ/oioGEF1AcmQO8zOX8W7srBHW6AWYOQPIrKC5tBh74FV7MxcTyfxLgcz5JZZm7lQ6Oj8zlfvliEg7eS0VUshTu1rqY0NICjcvxfrmoKtIVXgWoSCfbSorytrrY0N8++7WOUKCx7bIzCfC9n4rZHa3hYa2LiwGvMXJnNHYMcUAVB80XJKWV4dDhMOjVF8mTxkMa8By61arDZN5CKFJS8HrrJrXbGPTqC6PxPyPllynIenAPup5eMPl9HuTJSZCcO6N2m9KsvJ0eNgx1yn6d2/ErkSowaF0ErIxFWNbXAbamOohMzIKpmAmK3JS31cWGwW9v9HLbx8v72CNLpsh+nZguR+fl4WhdjclMdZIy5Oi9Lw5fOOljTUcLWBoIEZoog6lY8z7+z7E+1jDWe9vOyrC0XirkTqfnUOh07AXJ/MlQhARAULEa9CbOhSItFbIDW9VuI/KsA/mty8havxRITYHIuyv0fl+JzJHfQhHwpJC/QdGiY2SIuHv+8N+wD60O+KhdH3XxNoJ3H0fjdXPy9p6GBkgJeoHgPX6ov3RKfodc7CmWDIBC+M7fKYeyEP7gA8Xd0+o3SE+C4tRGICoEkGUBVRtD0PNXKFISAP+rhRJzcZL0WoZeG1/iCzcDrO1tB0tDIULipTATaz6nvkjIwvAd0fi2tgkWdrHGleAMTD8cBxtjHTQuZ1CI0RcD+iYQ9F4FhN2GYu8E4HXimwRaiuZtnKpD0PYXKM4tBwIvAcY2ELSaAEHrSVAcmlZooRcbYhMI+q8GQm9DsWsckJYIWLoAr3PZx7W6QND8ByiO/gG8fAI4VoGg7SQoMlKA55cKLfTioryNLjb0t8t+nev98tkE+D5Iw+wOVm/vl3fFYMcge94vU5Gi1WTbCb9jua4Xi8WFFEnBEgkFsDHJ264+dD8Vwxubo2kFZWa+Vz1dXA56jY2Xk7DwG9uCDLNY0q1ZG5lnTkFy/hwAIDPiBfTbdYSuZw281rCNuGMXvN71NzKPH1Fu8yIcutU9YTh0OJNtaoiEyPPxu/9mEpLS5djxowt0Rco/ks6W6quH6C2RKO/nCHND1cTlsfuJEOsK4F3duCBCK/bW3U6Dg7EIc1uaZS9zNs3bvrYyFMJUnwm2DxFWrQnZ5TOQXzsPAFBERUDevB2ElapDpmGbrJXzVF5L1y+FqEELiL5sDmkpT7a98LuAF34XNK4P2HYIAGBcxkljm/fF3nyA2JsPAAB1/xj/eQGWRGmJKi8FXw2AIiYcCLytvv37yy/sBOq2g8DDCwom23JYdykJDqY6mNfJOnuZs0Xu1wY7b6XA2VwHk7+2BACUtdHD7fAMbL6WxGTbewRf9AFSoqHwe+e8mvQy940cqwHJr4Dbe7PbK+4dUr4X5SD4si+QHKWsZPvPB/axoLo3cPsg8OTNvUViJOBQGYIv+0LBZFsOIiFgY5zX++U0DG9shqZven71qquLy8EZ2HglGQu72hRkmPSJSuvVtFaTbeXLl8ch38MIDwtTu97WzhYeHh6FHFX+C43LQuNFYdDXEcDLWR/jWlrC0Vz9rpdIFdDXUc3ki3UFuBWWWRihFjtZd27BoEdviNzcIQsJhk7FytCrXQcpf/yueSM9PSBTdX8qMjOgW70GoKMDSKUFHHXxEhqbhca/B0FfVwAvVwOM87aCo4aL5LOP0+BVRoxZB6Nx9nEaLI1EaOdlgqHNLCDK5QlVaRcam4XG80KU5whXMca1toSjed6SlHtvpqCtpzEM9Urrn7HcnQvOQENXfYw5noAbkVmwMxKiZ3VD9Kj64a4GXXbGQiIDylvpYGQ9Y9Ry0CuEiIsf+aM7ELXrAYGzGxQvQiDwqAhh9VrIWvVH3t9EIAAMjKBITvpwW6KCJNIBareB4vz2vG9Tvi5gUwaKwNyHsCitzj57jUZlDTB6TzRuhGbAzlQHveqYoEctzV1C777IxJceqg/dG5Y1wLwT8Rq2KMXKNgRCrkPQcTbg7AWkxkBx9wBw/7DmbSIfAo2HKbudBl8FDC0gqNgMCGKyWK3yjYCgaxB0/R1wrQmkxEBxaz9w11fzNiJdQCZRXSbNBByrAEIRINf0OKp0Co2XovHicOW1sIs+xn1lAUczDffLMjX3yzoC3ArLOcwKkTZpNdnm7/8Md+7cwZYt6ruZVK1aBX169y7kqPJXDWd9zOtiA3crXUSnSuHzTyL6boiE7whnGKupmGhUzgCbriShjpsYrhY6uBKcgVNP0iGTK9S8O6WvWQWBsQksj58BZDJAJELa0kXIPHxI4zaSixcg7tYTmadPQvroIXSqVYe4W08I9PQgtLCAPCamEL9B0VbDRYx5PezgbqOH6GQpfE7Ho+//XsB3XBm1x294fBauBr5GBy8TrP7OEWFxWZh5MBpSmQIjW1lp4RsUfTVc9DGvmy3crXURnSKDz9l49F0TCd/RLmr38bvuh2fgeZQEc/gUT6PwZBl2PkzHQC8jDKtjjIdRWZh7IRl6QgE6V1ZfHWFjJMJvzUxRzVYXEpkCex+/xoAD8djZzQpVbVmp+T7pjjWAoRH0Nx5T3jwIRZBu+BOyM0fy/B46PQZBYGAI2XmOeUVaVr0ZYGAMXP/A8Ss2guC3Y4COHiCXQbF3PvDseqGEWNyEJ2Rhx80sDKxvhu8bmeFBpARz/OKhKxKgSw31VdkxqTJYvTdGprWRCKmZCmRkySHW5QOmbOaOgFdn4OYuKK5uAewrQ9BiDBSyLOCRhvHBIh5AcWQWBB1nASI9CEQ6UARchOL04kINvdiwcARqdwGu7YTi0hbAsTIEX49V7uMHGv5uBV0DvDoA/heAV/6AQyXAqwMEIl0oDM2B1LhC/QpFWQ0nfczrZP32Wvh8IvpufAnfH5zU3y+XNcCmq8moU0YMV0sdXAl6c7+s4P1yUVVaz9haTbbduHEDZctqrlxLTU3D1WvXcn0PPT096OkV3WqDJu9MbFAReqjhpI8WS8Ph9zAN3WrnfKI3rY0VpvvGou3yFxAIABcLXXT1Msa+O6mFGXaxod+mPcQdOiF5/GhIA55Bt3IVGE/5FfLoKGQc3Kd2m7SVf0FoYwOLXQcAgQDyuFhkHNwHo6HDoWBSU0WTdyY1qOigjxquYrSYFwK/eynoVs8sR3u5ArAyEmHWN7YQCQWo5ixGVJIUGy4kMNmmQZOK7+5jZfKtxYIw+D1IRbc6prluu/dmCirY68HTpWR0uS8ICgVQ1VYXY79Unm+r2OjiebwUOx+ma0y2uVvowN3i7Z/Hmg56CEuSYvO9NCxoZV4YYRcromZtIPqqA7LmToA8JADCspWgO2KqcqKEkwc/vH2L9tDpNwKSX0cAiaxaIe0SfNEReHoFSI7NvWFmOhSL+gB6hkCFuhB0HgtFXITmrqelmEIBVHVUVqoAQBUHfTyPkWDnzRSNyTb6CAIh8OopFP+uUb6Ofg5Yu0Pg1RkKTck2KzcIvhoNxeWNQMh1KIysIGj2IwStJkJx4iOqkksLgRB4+RSKf1YrX0c9A2w8IKjVBQoNyTbFxY0QGFtBMHAtIACQlgDcPw406Aso5IUXezGgcr9sB9Rw1kOLP1/A71EauqmpgJ3mbYnph2PR1icCAgAuljrK++W7vF+mokWrybZfZ/yW6/rQ0FB07/5trm1GjRyB8ePH5WNUBcvUQAQ3K12ExmepXW9pJIJPLztkZsmR+FoOWxMRFp9KgIsF57JQx/jnKUhfswqZx5Sl8rJn/hA6OsHw+x81JtuQmYmUqT8j5depEFpZQx4TDYNve0OemgJFPJ8y5cbUQAQ3G12Exqk/fm1MdKArgkqX0bK2eohJkUEiVUBPh11JP8TUQAQ3a837+D/pEjmO3U/FTy0tCimy4snaSIiylqrnTw8LHZwM/LiuBp52urgVmfvvpLTSGTYR0p1rITunHIdVFvwMAjtH6PQa9sFkm6h5W+iOnw3JrDGQ375SCNES5cLCHqhQD4qNP3+4rUIBxL5Q/jvyGWDnBkHLgVAw2ZaDjYkI5WxUq4LLWuvi5JN0zdsYixCXptrNLjZNBmN9Aava3pcaB8SFqCxSxIdCUKGZxk0EX/QFIh4AN3YoF8QEQnEqA8LeK6G4uBZI4/WwitQ4IDZYZZEiNgSCSs00byOVQHFkLnBsPmBkqXyPmp2AzLQc40SSKlPxf/fL6of2sTQSwaenHTKlciSmv7lfPs375aKstJ61i/33Xr7CBxUqVlb5KcrSMuUIT5DCxiT32Rn1dYWwM9WBVA6cfJKGFpU4lbE6ArGB8oL3XTK5cvyfD5FKIY96Bcjl0G/bAZJzZ3O+F6lIy5QjPC4LNhoGmK/lJkZoXBbk71QIhsRKYGMiYqItj9Iy5QiPz/rgOcLvQSokMgU61NQ85g0Btez1EJKgerEWkiiF4wf27/uexEphY1Ts/2QWCIHYAJC/95ReLgeEue8vUfN20J04F5I547MnVyDSJkG9DkBqAvD4EwYvFwiVXUoph5ouYgTHqj6sCImTahyPCQC8nPVxJVj1ocjloAx4OXOmwRwiHgCWriqLBBYuygkQNNEV56yuUnAMMY3C7+fcx5YuQFIu+/g/chmQEgMo5BBUaflmJlLeb+QmTSJHeHwe7pd13r1fTkeLirxfpqKlSKR/vby8ULt2LdjaKMcdio6Jwa1bt3H37t0PbiuRSCCRSD7YTlvmn4hD84qGcDTTQXSKDCvOJUAoANq/mTlw0v4Y2JqIML6Vcraley8yEJUsQ2V7PUS9aS9XAEMa5uyyR0DmuTMwHD4CssgISAOeQ6dyVRh+Nxiv9+3JbmM07mcI7eyQMkk5A5vIzR06njUgvXcXAlMzGH43BDrlKyB+Mmdoe9/8IzFoXsUIjua6iE6WYsWpOAiFArR/0+1j0q5XsDXVwfg2yhnGetU3w/bLSZhzOAZ9G5gjNDYLq88loF9Dcy1+i6Jt/rFYNK9kBEcLHUQny7DiTLzyHOGpTKJN2hOl3MetVbvh7ruZgpaVjWBh+HFJo9JmgJcReu+Lw+qbqfAuJ8aDqCzsefQaM5u/7aK75HIKotJkmP+mi+jmu2lwNhWhnKUOMt+M2XbthQTrOrKKUB3ZlXPQ7TMciuiXUIQEQFCuMnS6DYTU7211sc7gcRBY2yJr/mQAyq6jupPmIctnLuRP7gMWb2YplGQAaaW7G4iOkSFMy729qTNxd4ZljUrIjE9CWvhL6FuYwcjVAYaOyhnKzSu6AwBev4rF6yhl18emm+cjLSIKN6cuAQAIdXVhXqWs8t96ejBysoNljUqQpqYjOVD9JFWljkAA1OsA3DiaY+ByQe/fgKQYKI76KBd8NRAIfwzERSgHQa/SEKjTFoo97H6nzsAvTNFr40v8799EtKlqhPsRmdh9OwWz2r/9u7b4TAKiU6SY31l5L9Cztgm230jBwlPx+KamMa4GZ8DvURr+18tOW1+jyFLc2gVB7/8BX/QD/M8CDlUAz45QnFyQ3UbQ+HvAxAaKY8oJxBQBlyBoPUk51lvwdcDYCoLmP0ER+ZhVbWooru+CYMBqoEF/5eyijlWAmp2gODY/u42g2XDlPj48W7nA0kXZLuIRYGACQb1egI3H2/WUbf7JeDSvYAhHc5HyfvmfRAiFQPtqyqFWJh2Iga2JDsa/6c1x70UmolKkyvvlZBlWnE98c7+c+/ArpD2l9XG1VpNtVlZWWLd2DerWrYOIiAjExCgvEm1srOH0mxNu3LiJIUOHIS6u+J70o5JlGL83BonpMlgaiVDbVYxdQx1h+WbQ18gkqUoRVqZUgWVnExCeIIWhngBNyxtiflcbmBrwhlqd1N9nwGj0eJjMmK3sEhodhde7/kaaz1/ZbYQ2thA5OL3dSCiE4XdDoePuAYU0C1nXriKh1zeQR7zQwjco2qKSpBj/9yskpsuVx6+bGLtGOMPyzdTckYmqx6+DuS7WDXbEH4dj0enPMNiZ6qBfQ3MMbcYkhSZRSTKM3xX19hxRxgC7fnCGpfGbc0SiFIL3KjWDYiS4FZqB9d85aCPkYqW6nS7+amOOpVdSsfJGKpxNRZjc2AQdKr4dry0mXYaXKW9vrrPkCiy4lIKoVBnEOgJUtNbFhk4W+IIVFWplLf8d+O4n6I7+FQJzKyjioiE9sgvSrSuz2wisbCCwdcx+LWrXAwIdXeiNngGMnpG9XHriALIWTCnU+IsamzrV0O6ftxNH1V86FQDwbNN+XPhuClw7tkDTTW+TOi12/QkAuP3bctyeuQIAYOzqAMU71YaGjrboevftxEGeEwfDc+JgvPznGo4271+QX6f4qFAPAksHyK+pmV3Qwl6l8l2gJwa6TQLMbIGsTCA6FIptvwJ3TxViwMVHdSd9LO9hiyVnE7DyQiKcLXQxpbUlOlR/O15bTKoUkUlvq5CdLXTxv162+ONkArZcT4a9qQ5md7BC43Lqx9os1V49heLgVAiafA80GAgkvYTi3F/Ak3eOR2MrwOSdROWj41DoGUJQ8xug2UggMxUIuwXF+VWFHn6x8PIJFHsnQ9D8B6Dxd0DiSyhOLQMenXzbxtgKMHtnHwuEEHzRC7ByBWRSIPQ2FJu/z1s1XCkTlSzF+H0xSHwtg6WhCLVd9bFrsMMH7pcTEZ6QBUM9IZqWN8D8LtYwFfN+mYoWgYOjs9bqWNes+R/s7ewwdtx4BAYGqawrW9YDSxYvwquoKHz//Q8f9b6REeFQ7PTOz1DpPYKefoiu6KbtMEosW/8QKA6213YYJZqg8xEo9rXVdhglluCbY5Avb6rtMEo04ajzeP1VJW2HUWIZnHmKdYKK2g6jxBqi8Id8bF1th1GiCZfegGJ7a22HUWIJ+pyAfGEjbYdRogknXoR8TgNth1FiCaddhuJvniMKktPEx9oOoUiYH1nwXXwnOWoeB1RbtFrZ1qxpU3Tt2i1Hog0AAgOD8Mv0Gdi3d7cWIiMiIiIiIiIiIvp4Wk22SSQSGJtoHtzb2NioSI/HRkRERERERERE6pXWMdu0+r19fQ9j2Z9L4O3tDWPjt+M2GBsbw9vbG0uXLMbBg4dyeQciIiIiIiIiIqKiQ6uVbb/NnAWBUIhVK1dAR0cHEolyWnA9PV1IpVLs2LkLs2b/rs0QiYiIiIiIiIjoE5TWyjatdyOdMmUq5syZC0/P6rC1UU5jHx0Tjfv3HyA1NVWb4REREREREREREX0UrSbb/pOamorLl69oOwwiIiIiIiIiIsonpbWyTevfWywWo17duihfvnyOdfr6+ujW7RstREVERERERERERPTxtJps8/Bwx/l/zmL//r04e+YU9u3dAzs7u+z1JiYmWLpksRYjJCIiIiIiIiKiTyEshJ+iSKtxTZs6FU/9/eHp6YXGTZohNS0VBw/sg5OjozbDIiIiIiIiIiIi+iRaTbbVqVMb8+bNR3xCAkJCQjBgwHf45/wFHDiwD66urtoMjYiIiIiIiIiIPgMr27RALBZDKpWqLJsyZSpOnTqN/fv2wMPDQ0uRERERERERERERfTytzkYaEBCIGjU8ERAQoLJ82i/TAQCbNq7XRlhERERERERERPSZimrlWUHT6vc+7ueHzp06qV037ZfpOHjIFwKBoJCjIiIiIiIiIiIi+jRaTbatWOGDfv0HaFw/deo0OLuUKcSIiIiIiIiIiIgoP3DMNiIiIiIiIiIiIvosWh2zjYiIiIiIiIiISqbSWuFVWr83ERERERERERFRvmNlGxERERERERER5bvSWuFVWr83ERERERERERFRvmNlGxERERERERER5bvSWuHFZBsREREREREREeU7gbYD0JLSmmQkIiIiIiIiIiLKd6xsIyIiIiIiIiKifFdaK7xK6/cmIiIiIiIiIiLKd6xsIyIiIiIiIiKifFdaK7xK6/cmIiIiIiIiIiLKdwIHR2eFtoPIb5ER4doOgYiIiIiIiIhKKUcnF22HUCRsizQs8M/o65he4J/xsUpsN1L5sibaDqFEE46+APmq5toOo8QS/nAOiksDtR1GiSZouAmK0DnaDqPEEpSZBsXzKdoOo0QTlJ8HWd8a2g6jxBJtuwf5vIbaDqPEEk65BMX+dtoOo0QTdD0Kxfm+2g6jxBI03QbFsc7aDqNEE7Q9CCTv1XYYJZdpNyj+6aPtKIhKrBKbbCMiIiIiIiIiIu0RCLQdgXZwzDYiIiIiIiIiIqJ8wso2IiIiIiIiIiLKd0JBiZsmIE9Y2UZERERERERERJRPWNlGRERERERERET5jmO2ERERERERERER0WdhZRsREREREREREeW7UlrYxso2IiIiIiIiIiKi/MLKNiIiIiIiIiIiyncCzkZKREREREREREREn4OVbURERERERERElO84GykRERERERERERF9Fla2ERERERERERFRvmNlGxEREREREREREX0WJtuIiIiIiIiIiCjfCQWKAv/5GF988QU2b9qA27duIjIiHN6tW+doM3HCeNy5fROBAc+xa+ffcHd3+/jv/dFbFBAnR0fUrOmFGjVqwMLCXNvhEBERERERERFRCWJoaIBHj59g6rRf1K4f8eMPGDToO0yePBXtO3RAevpr/L19G/T19T/qc7Q+ZtuAAf0x4scf4ODgoLL81q1bmP7rb3jw4IGWIiMiIiIiIiIiok9V1IZsO3fuH5w794/G9UOGDMayZctx4uRJAMBPo8fg3t3b8G7dGod8ffP8OVqtbBv+/ff4adQorFr1P0yaNBmBgYFYvGQp+vUfiNCwMBzYvxeenp7aDJGIiIiIiIiIiEo4V1dX2NnZ4d+L/2YvS0lJwZ07d1G7dq2Pei+tVrYNHNgfEyZOzM4qXr12Db6HDqKGVy38888/SEpMwpTJk9Crdx9thklERERERERERB+pMGYj1dPTg56ensoyiUQCiUTyUe9ja2sDAIiJiVVZHhMbA1tb2496L61WtllbW+P584Ds10FBwTAxMYGVlRUAYOeuXR+dPSQiIiIiIiIiotJh1MgReOb/ROVn1MgRWo1Jq5VtQUFBaNKkMf7+ewcAoGHDBsjKykJ0dDQAIDMzEwrFx80sQURERERERERE2lcYlW3LV/hg9Zq1Kss+tqoNAKKjYwAANjbW2XkpALCxtsGjR48+6r20mmxbvsIHy/9ahiaNGyMjMwNt27TB+vUbstd/+eWX8Pf312KERERERERERERUVH1Kl1F1wsLCEBUVhUaNGuHRo8cAAGNjY9Ss6YUtW7Z+1HtpNdl2+PARpKam4puuXWFoaIjfZs7KrnIDgKNHj+Lo0aNajJCIiIiIiIiIiD6FQFC0eisaGhrC3d0t+7WLqwuqVq2CxIRERERGYt269Rj90ygEBwUjLDwcP0+cgKioKPidOPFRn6PVZBuQ+7SrCQmJhRoLERERERERERGVTDVqeGLf3j3Zr2f+NgMAsGv3HowdOw4+K1fB0NAQCxb8AVNTU9y4cQN9+vZDZmbmR32O1pNtuRGJRLC3s0NEZKS2Q/lkUakyLL6SigthmciQKuBqpoO5LUxRzVZX4zYSmQIrb6TB99lrxKbLYWMkxI91jPFNZYNCjLz4iEqVYfHFZFwIyUBGlgKu5jqY+7U5qtnpfXDb25GZ6L8nDuWtdHCg78fNLlIarTkagSX7wtC/pT2m9nZX2yZLKseaYxE4eCkGUQkSuNsbYEJ3VzSublHI0RYPOw77Y8cRf0REpQEAypUxw4g+NdCknpPa9llSOdbsfICDpwIRFZsOdxczTBhcC43rqm9Pqtbs8ceSzY/Qv2NZTB1WQ22b3X7BOHQ2DM9DkwEAVcuZY2z/qvCsaFmYoRYbwqXHILDJefzJT+2EYvO8nO2nrYOgct0cyxV3L0C+aFSBxFjsGVtD0PxHoGx9QEcMJLyA4uhc4NVTzdvU6gpB7W8AMwcgOQqKy5uBh36FF3Mxsvx0HHzOJKgsc7fRxfFxZdS277fmBW4EZ+RY3rSiIVYPdCyQGIuz5b4R8Dmiei3vbifG8dnVNW7jdzMeyw5FICIuE2VsxZjwjTOaVjcv4EiLr+V+MfA5oTpznrutHo5PKfvBbY/eTsL4rZH4qpoxfAa7FFSIxdrqjedx8twjBIXGQKyvi5qerpgwsjU83Gw0btPv+3W4fjs4x/KmDStgzZ8DCjLcYmf54Qj4HHmpsszdTozjs6qpbf888jX+8o3Ao7B0RMZJMKW7Cwa0tCuMUOkTCQthzLaPceXKVTg65X6+W7hoMRYuWvxZn1Okk20VK1bACb/jcHF103YonyQpQ47eB+LxhZMe1rS3gKWBEKGJUpjq5360jT2RhNjXcvze3BRlzHQQnS4D54lQLylDjt67YvGFix7WdLZ6Zx9/eKLd5Aw5Jp9IRH0XfcSlywoh2uLtQXAqdp2PQkVnw1zbLTsQDt8rMZg9sCw87A1w8VEiRq7wx46p1VGljFEhRVt82FkbYvzgWijjZAqFAjh4KhAjfjuH/Svbo7ybeY72yzbdge+ZIMwe+yU8XMxw8WYkRs78Bzv+9EaVclaF/wWKkQfP4rHLLxgV3cxybXf9QSzaNXVGzcpW0NcVYe0+fwz+9RKO+LSEnTUferxP/msfQPjOOde5HERT1kBx/ZT69n+OA3TeeeBkbA7h3N1QXFPfvtQTm0DQ739A2G0odo0H0hMBSxcgI0XzNjU7Q9BsOBTH5wMvnwAOlSFoMxmKjBQg4FJhRV6slLfTw4bBbxNlOrncGSzv64As2dsLs8R0GTr/FY7W1Y0LNMbirLyjATaMrZj9WieXy7TbgSkYvy4Q47o4o5mnOY5cj8PIlQHY90sVVHDK/RqkNCtvr48NP7hmv85tH//nRbwEC3yjUceDf9tyc/12MPp0r4/qVZwgk8mxZOVJDB61CUd3j4ahgfqH+8sX9EZW1tv7i8SkdHTqswLeX2lOMpdm5R3F2DDmnXOESHPbDIkcLtb68K5tiT92hxdCdESfpkgn24q7dXfS4GAswtwWb2/snE1zOXMA+DcsEzciJTjZ1xrmYuVfSacPbFOarbuZCgcTEeZ+/bZqytksb4f1b2cT0a6iAUQC4Ewgk225ScuQYcKa55g9wAOrjkTk2vbQ5RgMb++Mpp7K30kvW3tcfpyEjScisXBY+cIIt1hp8aXqU5Wx39XEziP+uPckRm2y7dDpIAzvXR1N6zkDAHp1qIjLd15i497HWDi5cWGEXCylvZZiwqKbmD2qFlbtzKUaCMCiiapVV7+Pqo2Tlw7jyr1odP5KfaVLqZaiWhEk6DAIiqgw4MlN9e3TklXb1/cGJBkak3OlnaB+HyAlWlnJ9p+kl5o3ACCo5g3cOQQ8OaNckBipTLjV7wMFk21qiYSAjUnerh/MDVWvy47dS4VYVwBvJts0EgkBGzPNvTretfVMFBpVNcPg1g4AgNGdnHH5cTK2n4vGzL5uBRhl8SYSAjameb+1k8kVmLg1EqO8bXAzKB0pr3ktrMn65QNVXv8xoxu+/HouHj2JQN1a6nt6mJupJoaPnrwPsVgX3i3VV2uVdiKhIM/niOpuRqjupnyAv/jAi4IMi/JJYcxGWhRpNdl2wu9YruvFYnEhRVIwzoVkoqGLPsacSMSNSAnsjEToWc0APapofip3NjgTVW11sf5OGnyfZcBAR4AWbvr46QtjiHVK6VGai3NBGWhYRh9jjsbjxgsJ7IyF6OlphB7Vc6+g2v8oHS+SZFjgbYH/XculOoAAALO2BaOZpwUaVDX/YLJNIlVAX1f1WBXrCnHrOffzh8hkcvhdCEV6hhReVdR3TZBkyaCvq3qjJ9YT4dajaLXtSWnWqrtoVtceDbxsP5hse9/rTCmkMjnMTD7cNb3UE+lA0LAdFMfzPluToFkXKK74AZmvCy6u4qx8IyDoOgSdZwOuNYGUGChu7wfuHda8jUgXkL03I5c0E3CsAghFgJw31e8Ljc1C47nB0NcRwMtVjHHeVnA0z9uN396byWjraQJDvTyUEpVSodGZaDzxLvR1hfDyMMK4Ls5wtNJX2/ZuYBoGtlLtEtawqhnO3E1Q256UQmMlaDzjufIYdjPAuPa2cLTQfAz7nIiFlYkI3eqb42ZQeiFGWvylpCq7kZuZ5r3Scp/vLbRrVV1jJVxpFxqdicY/34O+rgBeHsYY18UJjpbqzxFExYVWk23ly5fHId/DCA8LU7ve1s4WHh4ehRxV/glPlmHno3QMrGGIYbUs8DA6C3P/TYGeUIDOldSXa79IluH2Swn0RcByb3MkZMgx60IyEjPlKhVypBSeJMXO+1IMrGWMYXVN8DBKgrn/JEFPJEBnDUnNkAQpllxKxtbu1rl2EyGlo9di8Tg0FXt/9cxT+0bVzLDp5EvUqWgKVxsxrjxJwqnb8ZDJ2RdaE//gBPQafRyZEhkMDXSwYkYzlCtjrrZtozqO2LT/Mep42sHVwQRX7rzEqUth3L+5OHo+HI8DE7F3afNP2n7xpoewtTRAAy+O6/ghgjotAEMTKC745m0Dj2oQuJSHfO1vBRpXsWbuCNTqDFzfBcWVLcoKtVZjoZBLgQfH1W8TfB2o0R54dgF45Q/YVwJqdIBApAuFgTmQFleY36DIq+EixrzudnC31kV0ihQ+ZxLQd3UEfMe4wvgDw1LcD8/A8ygJ5nzD84MmNdyNMG+gO9ztxYhOyoLP4Qj0XfgUvr9Vg7E4Z++N2OQsWJmqJomsTXURm5RVWCEXOzXKGGBeL0e42+ohOlkKnxOx6Ls8BL4/e6jdx7eC0rHvWiIOTlBflUWayeVyzF1yFLVqlEGFcnkbJ+z+o3A8C4zCnOldCji64qmGuzHmDTSAu92bc8SRSPRd6A/fGVXVHr9U/AhQOu9TtJps8/d/hjt37mDLFvVPwKtWrYI+vXvn+h56enrQ0yuaTwgUCqCqjS7G1jcBAFSx0cXzeCl2PnqtMdkmVwACAAtbmsHkzQXepAYmGHMiCb82MWV123sUCqCqnS7GNjQFAFSx1cXzOCl23k9Tm2yTyRWY6JeAkfVN4G7BXtQf8jI+E3N3hGDD+MrQ183bE/tpvdwxfXMg2k69C4EAcLERo2tDG+y7yMorTdydTXFgVXukpGXhxL+hmLzwErYuaq024Tbth3qYvvQK2g4+BAEAF0cTdP26HPadCCj0uIuDlzHpmLv2PjbMbgR9vY+/YFuzxx/HLrzAlnlNPmn70kbQtAtw7xKQGJO39s26QBH2DAh6WLCBFWcCIfDyKRTnVytfRz0HbDwgqNkZCg3JNsWljRAYWULQf43yoiItQZmY+7IvoJAXXuzFRJOKb6vhKzroo4aLGC3mh8Lvfiq61TXNddu9N5NRwV4Pni7FuzdGQWryzsQGFZ2VybcWk+/D72Y8ujXSPMA85V2Tym+7MFd0VCbfWswKgN/dFHSrb67SNjVDhp+3R2L2tw6wMOa18MeaueAwngdG4e+1w/K8zd5Dt1ChnB08q3ICCnWaVHtbUJJ9jpjygOcIKva0eoa9ceMGypbVXLmWmpqGq9eu5foeo0aOwPjx4/I7tHxhbShEWUvVmzMPCx2cDNI8ZayNkRB2RqLsRBsAlLXQgQLAq1QZ3Mz5R/Fd1kYilLVUffrpYaGDk8/Vd0dKkyjwMCoLT6KT8Pu5JADKBKcCQLVlkVjX1Qr1XViy/J9HIWmIS85C15n3s5fJ5MDNZ8nYfvYV7q+pD9F71YGWprrwGVUJmVlyJKZmwdZcD4v3hsHFhjcimujpilDGSXlDV62CFR4+i8WWA08wa8yXOdpamovhM7M5MiUyJCZnwtbKAIvX34aLA8cKUudRQCLiEjPRdfTZ7GUyuQI3H8Vi+5Eg3D/QGSKR+ocY6/c/w9q9z7Dh90ao6M7K4g+ycgCqfaGcACEv9A0gqN8ain0rCzau4i41DogNUVmkiA2BoGIzzdtIJVAcmwf4LQCMLJXv4dURyExTTrBAuTI1EMHNWhehcZJc26VL5Dh2LxU/teJMxR/D1FAHbnb6CI3OOaMroKxii0tWrWKLTc6CdR7Hc6I3x7CNHkJjcx7D4XFZiIjPwg/r3g4s/19xfNXxT3B8Slm4WhfNQgZtm7XAF//8649ta4bA3i5v1wXpryU4evI+fvq+ZQFHV3JknyNiNN8zU/HCMdu04NcZv+W6PjQ0FN27f5trm+UrfLB6zVqVZc/8n3xuaPmiloMeQhJVx0UJSZTB0VhzdUQte12cCMxAWpYcRm8qiUKSpBAKAPtctiutajnqISRBqrIsJFEKRw2TShjrC3Cor+oTkh3303AtXII/21nA2Yz7+F31K5vBd1YNlWVTNwTAw8EAQ9o45Ui0vUtfVwg7C31kSeU4eSsO3nWtCzrcEkMuByRZuVef6OuJYGdtqNy/F8Pg3YQD96tTv4YNfFd8pbJs6rJb8HA2wZBvKmhMtK3b+wz/2/0U62Y1QvXyFmrbkCpB005Acjxw99+8ta/XCtDRg+LS0QKOrJh7cR+wclVZJLB0BZJefXhbuQxIUVYZCqq0fDMTaensyvEx0jLlCI/PQkcTk1zb+T1IhUSmQAev3NuRqrQMGcJjMtGxvvqEjldZI1x5mowBLe2zl11+nAQvDz5Uyqu0TDnC4yToaJozIeRhqwffn1W7jy47FoO0TDmmdrGDfR7HKixNFAoFZi88jFP/PMbW/w2Bi1PeE+x+px9CkiVDxzZeBRdgCfP2HMFjkYq3Yl8mJZFIIJHk/uRRWwZ4GqL3gXisvpUG73L6eBCVhT2P0zGz2dsuCUuupCAqTY75LZV/DNtVEGPVzTRMO5uMkXWNkZAhx8LLqehayYBdSNUYUNMIvXfHYvX1FHhXMMCDVxLseZCOmS3fXlwsuZiMqDQZ5re2gFAgQAVr1RO3lYEQ+iLkWE6AsYEIFZxVu+Ma6ItgbqSTvXzS2uewtdDD+G7KZM+9wBREJUpQ2cUIUYkSrDgUDrkcGNLGsdDjLw4Wr7+NJnWd4GBrhLTXWThyNhjX77/CurnKJ6CTFlyErZUhxg+uBQC49yQGUXHpqFzWElGx6Vix9R7kcgWG9ODsVuoYG+qigpvqzYaBvg7MTfSyl09afBO2VmKMH6jch2v3+uOvbU+waGJdONkZIiZBWX1hKNaBkUGx/7NZMAQCCJp0guLfwzkG3xd8/zuQEA3F7r9UlzfrAsWtc0BqUiEGWvwobuyCoN9q4Mv+wNMzgEMVwKsjFH4LstsImg4HTKyhOPK7coGlC+BQGYh8DIhNIKjXE7DxeLueVMw/FovmlYzgaKGD6GQpVpyOh1AItK+hTKJN2h0FW1MRxnurPjTadzMZLasYwcKID+pyM39PGJp7msPRSh/RSRKs8I2EUChA+3rKhMWkDUGwNdfF+K7KLnb9vrJD/4X+2HDyFZpVN8PRG/F4FJqOWf3ctPgtirb5h6LQvKoxHC11EZ0kxQq/WAgFArSvpbznmLQ9ErZmOhjf3hb6ukJUcFDtbWBioDyG319OSjPn++LIiftYuagvjAz1EROrnPTLxFgMsVh5//DzjD2wszHF+JGtVbbd63sTLZtWhoV53idTKG3m7w1XniMs9RCdlIUVhyOU54i6b84RG4OV54guzgAAiVSOwJfKa7MsqQJRiRI8CU+Hob4QZWx5DBdFrGzTIi8vL9SuXQu2NsqKo+iYGNy6dRt3797VbmCfqbqdLv7yNsfSq6lYeTMVziYiTG5kgg4V3o7XFpMux8vUtzcmRrpCrO9ogd//TUH3vXEw1xfCu5wYo7/g0zx1qtvr4a/2llh6KRkrr6XA2VQHk5uaokOlt3/QYtJkeJnMmdcKSmS8BIJ3KtwypXIs2x+O8JgMGIpFaFrdHPOHlIepYZE43RQ58YkZmLTwImLiX8PEUA8VPcyxbm5LNKytTE5GRqdB8M5fqMwsGZZtuovwlykwNNBF03pOmD+pEUyN2eXjU0XGpEPwzpCEO44FI0sqx+h5qsMYjOhVCaP6VCnk6IqJqvUhsHaE/PzBHKsE1vZQvD9OmEMZCCrWgvyP7wsnvuLs5VMo9k9RJtQaDQQSX0Jxehnw6OTbNsZWgOk7A3ULhBDU66WsiJNJgbDbUGwZnrdquFIoKkmK8TtfITFdBksjEWq7GWDXDy6wfNOjIDIxK8eNQlCMBLdCMrB+EB8kfUhUQhbGrwtCYpoUlsY6qF3OBLsmV4aliTJJERkvUdm/tcqaYNEQD/x5KAJLD76Am60YK34shwpOTFZoEpUkxfitkUhMk8HSWITaHobYNcYNlm/GZItMyHkMU97t2HcdANBv+DqV5fN+/QZdOygfhr58lQThezs5KCQGt+6GYsOK7won0GIqKkHy3jnCGLsmV3rnHJGpcvxGJ2ahy++Ps19vOBWFDaeiULeCMbaOr1TY4RNpJHBwdNZafwIrKyusW7sGdevWQUREBGJiYgEANjbWcHJywo0bNzFk6DDExX3crFmREeGQL2tSECHTG8LRFyBf9Wkz+9GHCX84B8WlgdoOo0QTNNwERegcbYdRYgnKTIPi+RRth1GiCcrPg6xvjQ83pE8i2nYP8nkNtR1GiSWccgmK/e20HUaJJuh6FIrzfbUdRoklaLoNimOdtR1GiSZoexBI3qvtMEou025Q/NNH21GUaE59Lmg7hCLhZFrBF118bST9cKNCptVSk3nz5kAkEqJps+YIDAxSWVe2rAeWLF6EuXN/x/ff/6ClCImIiIiIiIiIiPJOq8m2Zk2bomvXbjkSbQAQGBiEX6bPwL69u7UQGRERERERERERfY7S2o1d+OEmBUcikcA4l5mejI2NiuzkB0RERERERERERO/TarLN1/cwlv25BN7e3jA2fjsBgLGxMby9vbF0yWIcPHhIixESEREREREREdGnEBTCT1Gk1W6kv82cBYFQiFUrV0BHRwcSSRYAQE9PF1KpFDt27sKs2ZymnoiIiIiIiIiIigetJtskEgmmTJmKOXPmwtOzOmxtbAEA0THRuH//AVJTU7UZHhERERERERERfSKBQKHtELRCq8m2/6SmpuLy5SvaDoOIiIiIiIiIiOizaHXMNgAQi8WoV7cuypcvn2Odvr4+unX7RgtRERERERERERHR5xAICv6nKNJqss3Dwx3n/zmL/fv34uyZU9i3dw/s7Oyy15uYmGDpksVajJCIiIiIiIiIiCjvtJpsmzZ1Kp76+8PT0wuNmzRDaloqDh7YBydHR22GRUREREREREREn0koKPifokirybY6dWpj3rz5iE9IQEhICAYM+A7/nL+AAwf2wdXVVZuhERERERERERERfTStJtvEYjGkUqnKsilTpuLUqdPYv28PPDw8tBQZERERERERERF9DoFAUeA/RZFWZyMNCAhEjRqeCAgIUFk+7ZfpAIBNG9drIywiIiIiIiIiIqJPotXKtuN+fujcqZPaddN+mY6Dh3whKKpTSxARERERERERkUaCQvgpirSabFuxwgf9+g/QuH7q1GlwdilTiBERERERERERERF9Oq12IyUiIiIiIiIiopKptHZW1GplGxERERERERERUUnCyjYiIiIiIiIiIsp3RXW20ILGyjYiIiIiIiIiIqJ8wso2IiIiIiIiIiLKd0KO2UZERERERERERESfg5VtRERERERERESU70rrbKRMthERERERERERUb4rrck2diMlIiIiIiIiIiLKJ6xsIyIiIiIiIiKifCeAQtshaAUr24iIiIiIiIiIiPKJwMHRucSlGSMjwrUdAhERERERERGVUo5OLtoOoUi4XgifUa8QPuNjldhupIpTPbQdQokmaLUbiFym7TBKLsfRUOxuo+0oSjRBj+NQHGyv7TBKLEHnI0CGn7bDKNnE3lCEztV2FCWWoMxUKC7013YYJZagyRYo7o7UdhglmsBrBRTBs7UdRoklcJ8O+YaW2g6jRBMOOs19XICEg04Dr3y0HQZRiVVik21ERERERERERKQ9AmEhTEcqL3odNjlmGxERERERERERUT5hZRsREREREREREeU7QWGUeMkL4TM+EivbiIiIiIiIiIiI8gkr24iIiIiIiIiIKN8JCmHItqKIlW1ERERERERERET5hJVtRERERERERESU/wpjNlJwNlIiIiIiIiIiIqISi5VtRERERERERESU7wplNtIiqJR+bSIiIiIiIiIiovzHyjYiIiIiIiIiIsp3glI6HSkr24iIiIiIiIiIiPIJK9uIiIiIiIiIiCjfccw2IiIiIiIiIiIi+ixFqrJNT08PACCRSLQcCRERERERERERfZZSOmab1pNtTRo3xtChQ1C7di2YmJgAAFJSUnDr1m2sWbsW//57UcsREhERERERERER5Y1Wk23du3fDooULcPToMfw2cxZiYmIAADY2NmjapAm2btmM8RMmYt++/doMk4iIiIiIiIiIPlJpHbNNq8m2n34ahRkzZmLT5s051u3evQfXb9zA2LFjmGwjIiIiIiIiIqJiQas5RidHR/x78V+N6y9evAgHe4dCjIiIiIiIiIiIiPKDQCgo8J+iSKvJtmfPnqFXz54a1/f89ls8f/6sECMiIiIiIiIiIiL6dFrtRjpz1mxs2bwJzZo1w78XLyL2zZht1jY2aNSoIcq4uqJf/4HaDJGIiIiIiIiIiD5BKZ2MVLvJtitXrqJ5i5YY0L8fatWqBVtbGwBAdHQMzp09hy1bt+HFixfaDJGIiIiIiIiIiCjPtJpsA4AXL15gztx52g6DiIiIiIiIiIjyUWmdjbSUfm0iIiIiIiIiIqL8p/XKtgED+qNtG28kJCZi27btuHjxUvY6SwsLHD16GF82aKTFCD/P8qOv4HM8SmWZu50+jk+vpLb97ktxOHQ9Ac8jMwAAVV0NMLaDAzzdDAs81uLo70MPscP3ISJepQAAyrtZ4sf+ddD0izJq2+/3e4op88+qLNPTFeHBye8LPNbiaPnZePicS1RZ5m6ti+OjXTRus/lyEnZcT8bLJCksDIVoXdUI41pZQl+XuX11lp+Kg8/peJVl7ja6OD7BTeM2ya9l+PNEHE49TEViuhyOFjqY2sEGTSsZFXC0xc/q9adw8sw9BAVHQ6yvi5pe7pgwpgM83OzytP3R47cxbvJmfNW8Olb+OaSAoy2edhx+ih1HniEiKhUAUK6MOUb08USTes4at9m8/zF2HPHHy+g0WJjqo3XjMhg3uDb09USFFXaxsdz3BXwOR6gsc7cX4/jsGhq38bsZh2WHXiAiNhNl7MSY8I0rmlY3L+BIS4Y1B4OxZEcA+rdxxdSBFTW2S07Lwp87A3DqejQSU7PgaGOAqQMqoGlNm0KMtnjYceSZ8hwRnQYAKOdqhhF9qqNJXSe17bOkcqzZ9RAHTwchKjYd7s6mmDC4FhrXcSzMsIudqBQpFv+ThAtBGciQKuBqroO5bS1RzUFPbfuT/unYeScVT6OzIJEpUM5aFyMbmqKRh0EhR148cP8WrL8P3seOQw8Q8SoZAFDezQo/DqiHpvXdPrjt0TPPMG6WH75q5IGVc9oXcKT0SYrobKEFTavJtsGDvsOUKZOxa9dumJiaYOuWzVi8ZClWrPABAAhFIjg7a75YLy7KO4ixYZRH9mudXA62689T0a62OWp2N4K+jgBrT0VjsE8gjkyrBDtz3cIIt1ixtzHGhKFfooyzGRQK4OCJpxjxy3EcWNMD5d0t1W5jbKQHvy29s1+Xzv/6eVfeVhcbBjpkv87t+D18LxWLT8VjTmcb1HTVR0hcFqbsjwEEAkxpY1UY4RZL5e30sGHo25uO3PaxRKrAoHURsDIWYVlfB9ia6iAyMQumYiYp1Ll+MwB9vm2M6lVdIZPJsWT5EQwevgpH90+BoaF+rtu+iIjD/CUHUadW2UKKtniyszbC+MG1UMbJFAqFAgdPBWLEb+ewf2V7lHezyNH+8NkgLF5/C3PGN0TNKrYIeZGEKYsuKc8Tw+tq4RsUfeUdDbBh3NuHdLmdI24HpGD82gCM6+qCZp4WOHItFiN9nmHf9Gqo4MQHd7l5EJCEXadfoKKrca7tJFI5Bv1+G1Zmelg2tgZsLfURGfsapoa8TlPHztoQ4wfVRBknE+W12ukgjJh5HvtXtEV5N/Mc7Zdtvgvfs8GYPbo+PFxMcfHWS4ycdR47lrRGlXLqr+1Ku6QMOXpvi8YXrvpY090aloYihCZIYSrW/KDzZngmGriLMbapGUz0hTjwIA0/7ovFzv52qGKnPoFUWnH/Fjx7G2NM+L4hyjibK68l/J5gxLQjOLCuF8q7a76HePEyGfNX/Ys6nkzGU9Gj1WRb3759MHHiJBw4eBAAsGXLVmxYvw4GYjEWLlqszdDylUgI2Jjm7QJs0UDViqzf+7jg5L0kXPFPQecveIHxvhYN3FRejx1SHzt8H+Hu41cak20CADaWvOHIK5FQABuTvJ0q7oRnoJarPjrUUN6oOFvool11Y9x/kVGQIRZ7IiHyvI/330xCUrocO350ga5IecPtbMkbPE3Wr/pB5fUfs/rgy+bT8OhJOOrWLqdxO5lMjglTt2LUD21w604QklNeF3SoxVaLL1UrXcd+Vws7j/jj3pNYtcm2O4+jUauqLTq0UD6EcrY3Rrvm7rj/NLZQ4i2OREIBbMzydnO29cwrNKpqjsGtlTceozu74PLjJGw/G4WZ/dwLMsxiLS1DigkrHmL2sCpYdSA417b7z0UgKS0LO2bXha6O8mbb2ZbVKpq0qK/64HzsQC/sPPIM957Gqk22HToTjOE9q6FpPeVDqF7tTXD5zkts3PcYCycV394uBWnd1WQ4mIowt93bpISzee7XFVNbqp6fxzY1x5nnr3Eu4DWTQe/h/i14LRp6qLweO7QBdhx68OaeTn2yTSaTY8LvJzDqu/q4dT8SyamZhREqfQLORqoFrq6uuHHzZvbrmzdvoXuPnti182/o6Ohg7br1Wowu/4TGSNB46iPo6wrh5W6IcR0d4GiZt5Psa4kcUpkCZoZa7/Fb5MlkcvidD0R6RhZqVrXX2C79dRaa99wCuVyBKuVtMG5IfY2JOQJC47LQeEEo9HUE8HIRY1wrSzhquMCo6SLG4XupuP8iA57OYoTHZ+HCs3R09Mq9SqC0C43NQuPfg6CvK4CXqwHGeVvB0UJ9Au3s4zR4lRFj1sFonH2cBksjEdp5mWBoMwuISmmJ9sdISVUmzcxMc0+4+6z2g5WFMbp3/RK37gQVRmglgkwmh9+FUKRnSOFVRX13uppVbHH4TBDuP42BZyUbhL9MwYXrEejY0kNtewJCozPQeMJt5XWEhzHGdXWBo5X6ysy7QakY2Er1b2DDquY4czehMEIttmatf4pmNa3RwNPqg8m2szdj4FXeDLM2PMXZmzGwNNFFu0YOGNrJjefhD5DJ5PD7NwzpmVJ4VbZW20aSJcvRpVysJ8KtRzGFEWKxdC7gNRq6izHmYCxuhGfCzliEnjWN0eMjrr/kCgXSJQqY51KtVVpx/xYumUwOv38CPnhP57P5OqzMDdC9XVXcuh9ZiBES5Y1WMzjx8fFwdHTEixcvspf5+/uje4+e2LN7J+zs8zamTlFWw80Q8/q6wN1OH9FJWfA5HoW+SwPgO60ijPPQ7WvxoZewNdNFg0pMVmjiHxSHniP2IVMig6GBLnxmtUE5N/XJM3cXc8z9uTkqlrVGSmomNuy+i56j9uPoxp6wt+E+fl8NZzHmddWDu7UuolNk8DmXgL7rIuE7yhnG+jkvFjrUMEZCugx91kVCoQCkcqBnXRMMb5qzuoWUariIMa+HHdxt9BCdLIXP6Xj0/d8L+I4ro3Yfh8dn4Wrga3TwMsHq7xwRFpeFmQejIZUpMLIVu+rmRi6XY+6C/ajl5Y4K5TV3N7h5OxB7D1zFwd0/F2J0xZt/cAJ6jT725jysgxUzmqNcGXO1bTu08EBCUib6jPODQqGAVKZAz/YVMLyXZ+EGXUzUcDfGvO884G5vgOhECXyORKDvgsfwnemp9joiNikLViaqyXprU13EJkkKK+Ri5+ilV3gcnIK9c+vlqX149GtcfZSADo3ssXpyTYS9SsfM9U8hlcoxsju7navjH5yAXmNPvD1HTG+q8RzRqLYjNu1/gjrVbeHqYIIrd1/h1OVwyOSKwg26GAlPlGLnnVQMrGuCYV+a4uFLCeaeSYSeSIDO1fM2nuuG6ylIz1LAuxJ7f7yP+7dw+AfGoueIPciUSJX3dL+3Rzk39de2N+9HYu+xRzi4rrfa9VS0CErpgyitJtuuX7+Btm3b4Pr16yrLnz9/jh7f9sLePbs++B56enrQ0yu6pbhNqppm/7uikwFquBmhxa+P4Xc7Ed0a5H5jvOZkFI7dSsSW0WU5uHwu3F3McXDdt0hJzcSJC4GY9McZbPuzs9qEW82q9ipPSGpWs0fbATuw8/AjjBn0RWGGXSw0qfD2gqCiPVDDWR8tFofB72EqutU2zdH+WvBrrLmQiF/bW8PTWYyw+CzMPRaLlecS8GNzJtzUafLOpAYVHfRRw1WMFvNC4HcvBd3qmeVoL1cAVkYizPrGFiKhANWcxYhKkmLDhQQm2z5g5ty9eB74Cn9vGq2xTWpaBn6etg2zZ/SEpQUT8Hnl7myKA6s6ICUtCyf+DcHkhRexdZG32pvpa/deYc3O+/h11BfwrGSDsIhkzF11Ayu33cOPfTUP+l9aNXlnYoOKzoao4WGMFpPvwu9GHLo1ttVeYCXEy9gMzN3sjw3TauV5gg65ArAy1cOsYVWU52EPU0TFZ2LD4RAm2zRwdzbFgZXtkJImwYl/wzB58WVsXdBK7Tli2vA6mL7sKtoOPQwBABcHY3RtVRb7TgYWetzFhUIBVLXXw9im5gCAKnZ6eB6bhZ13U/OUDDryOA0rLyVjRVdrWBlxDNj3cf8WDndXCxxc10t5njj/HJPmnsS2v77JkXBLTZfg5zknMXvCV7A0Zxd+Krq0mmxb4eMDz+rqn2Q/e/YM3Xv0RLu2bXJ9j1EjR2D8+HEFEV6BMDUUwc1WH6ExuT9hXn86GmtPRWPDyLKo6MSTSG70dEUo46RMSlSraIsHT2OwZd99zBrf7IPb6uqIULm8DcIikgo4ypLB1EAEN2s9hMZJ1a7/60wCOtYwRvc6ykRcRXs9vJbI8atvLIY3NYewlD7V+BimBiK42egiNC5L7XobEx3oiqDSVamsrR5iUmSQSBXQ0+E+VmfW3L3458IjbNvwE+ztzDW2Cw+PRURkPH74aW32MvmbaooqtcbC79A0uLqo7/pUminPw8r/99UqWOHhszhsOfAEs8Z8maPtX5vvoONXZdG9TQUAQEV3C7zOkOLXZVcwvLcnzxMfYGqoAzdbMUJj1I+FaW2mi7gU1fNHbHIWrPM45ltp8yg4GXFJEnSdfC17mUyuwM0nCdh+Ihz3t3+Vo2uojbkedEVC1fOwkxFiEiWQSOXQ0+ED0vfp6YpQxtEEAFCt/JtzxMGnmDW6fo62luZi+MxohkyJDInJmbC1MsDiDXfgYs8HIJpYG4tQ1lq1otXDShcn/T883ujRx+mYfjwBSztboYGbuKBCLNa4fwuHnq4IZZzNAfx3TxeNLXvvYdaEFirtwiOSEPEqGT9MPZy9LPtarcVy+G3tB1cn88IKm/JAUEr/LGo12fbkyVM8efJU43p/f3/4+/vn+h7LV/hg9Zq1Ksue+T/Jl/gKQlqmDOGxEnSsp3nXrzsVjf+diMK6ER6oXoalxh9LrlBAkiXLU1uZTI5nQXFo+kWZDzcmpGXKER6fhY411F/wvs6S55jZ+b8bZ3b+yJu0TDnC47LQsZb6c0QtNzGO3E2BXK7I3rchsRLYmIiYaFNDoVBg9rx9OHX2PrauHwkX59yr/zzc7XB47ySVZX/6HENaWgam/dwV9vbmBRhtySGXaz4Pv86Q5kioCd9M9qFQKMA5onOXliFDeEwGOpqpT/p6eRjjypNkDGj5dhbpy0+S4OXBRIU69atZwnehalJ46qpH8HAywpCO6sdgq1XRHEcuvVI9D79Mh42FHhNteaS8VpPn2kZfTwQ7a0NkSeU4eTEM3k14raZJLSd9hMSrJtlD4rPgaJp7FdXRx2mYdjwBiztaoVlZPtzXhPtXOzRdS3i4WuDwxj4qy/5cfwVp6RJMG9UU9rYmhRUiUa6KxKj7Xl5eqF27FmxtlIMpR8fE4Nat27h79+4Ht5VIJJBIiu44JPP3R6J5dVM4WuohOikLK46+glAItK+t7FI3aUsYbM10Mb6T8qJ47alo/HX0FRYNcIWTlR5ikpUndkN9IYz0WXb8vsVrr6BJvTJwsDNGWnoWjpx5hut3I7B+QQcAwM9zT8POxgjjhyovpFdsvgGvKnYo42SG5FQJ1u+6g8ioFHRvV1mbX6PImu8Xh+YVDeForoPoFBlWnE2AUAC091TetE3aGw1bUx2M/1rZZbd5RUNsupyEyg76qOGij9C4LPx1Jh7NKxpy0GgN5h+JQfMqRnA010V0shQrTsVBKBSg/ZuE5qRdr5T7uI3yxrpXfTNsv5yEOYdj0LeBOUJjs7D6XAL6NTTX4rcoumbO3YMjx29j5Z9DYGQkRkxsMgDAxFgMsVhZ6fPztG2wszXD+NEdoK+vm2M8N1MT5QVybuO8lWaL199Ck7pOcLA1RtrrLBw5G4Tr919h3dxWAIBJC/6FrZUhxg+uDQBoXt8Fm/Y/RuWylqhRyRqhkSn4a/NdNK/vApGIiYr3zd8TiuaeFnC00kd0ogQrfF8ozxH1lInjSesDYWuhi/FdXQEA/b6yR/9FT7Dh5Es0q26Oozfi8CgkDbM4E6laxgY6qOCqmog0EItgbqybvXzSioewtdTH+N7lAQC9Wrlg+4lwzNnkj77eLgh9lY7VB4PRz9slx/sTsHjDHTSp6wgHGyPlOeJcCK7fj8K6OV8BACYtvKQ8RwyqCQC49zQWUbHpqFzWAlFxr7Fi233IFcCQ7lW1+TWKtAF1jdF7WzRWX0mGdyUDPHgpwZ57aZjZ+u0QHkvOJyIqRYb57ZXnjiOP0zDlaDymfGUOTwc9xKQqkxpiXQFM1IwZW5px/xa8xWsuockXbnCwNUFaugRHzvjj+t0XWL+wMwDg5zknlfd0wxpCX18HFTxUH56aGisnDXp/ORUNglI6HalWk21WVlZYv24N6tSpg4iICMTExAIAbGys4fSbE27cuIkhQ4chLi5Om2F+lqjELIzfGIrEdBksjXVQ28MIu8aXh6WJctdHxktUpsLd8W8ssqQKjF4fqvI+I9rYYVQ7zbOxlFZxCa8xad4ZRMenwcRIHxU9rLB+QQc0rKO84H0ZnapSQZGcmonpi/9BTHw6zIz1UbWCDXau6KpxQoXSLipJivF7opXHr5EItV3F2PW9EyzfjDcRmSRVKQv+oakFBBBg2Zl4RCXLYGkkRPOKRhjTkuO1aRKVJMX4v18hMV2u3MduYuwa4QxL4zfniESpyjnCwVwX6wY74o/Dsej0ZxjsTHXQr6E5hjbjPlZnx+5LAIB+g5erLJ83qze6dlKO0/jyVQK7Ln6G+MQMTFp4ETHxr2FiqIeKHhZYN7cVGtZWJicjo9NULrJ+6OMJgQBYtvkOomLTYWkmRvP6zhjzXS1tfYUiLSpBgvFrA5CYJlVeR5Q3wa4pVWH5ZhKEyPhMlXNErXImWDSkLP48+AJLD4TDzVaMFSMqoIITK+U/VWRchsrfOgdrMdZNrYU/Nj9Dp5+vws5SH/3auGJoJzetxViUKc8RlxGT8Bomhrqo6G6BdXO+QsNaygfN758jMiUyLNtyD+EvU2BooIumdR0xf2IDmBqzK7Qm1R308VcXayw9n4SVl5LgbKaDyS3M0aHq2/HEYlJleJn8tkpo9900SOXA7FOJmH0qMXt552qGmNeOCYt3cf8WvLiE15g09ySi497c05W1xvqFndGwrvJB0svoFF6rUbEjcHB01lrvrjVr/gd7OzuMHTcegYFBKuvKlvXAksWL8CoqCt9//8NHvW9kRDgUp3rkZ6j0HkGr3UDkMm2HUXI5joZid+7jFdLnEfQ4DsXB9toOo8QSdD4CZPhpO4ySTewNRehcbUdRYgnKTIXiQn9th1FiCZpsgeLuSG2HUaIJvFZAETxb22GUWAL36ZBvaKntMEo04aDT3McFSDjoNPDKR9thlGiOtf/QdghFwlPXgh+vsFKY+rFstUmrlW3NmjZF167dciTaACAwMAi/TJ+BfXt3ayEyIiIiIiIiIiKij6fVZJtEIoGxieYBDI2NjYr0eGxERERERERERKReKR2yDVodndHX9zCW/bkE3t7eMDZ+OzitsbExvL29sXTJYhw8eEiLERIREREREREREeWdVivbfps5CwKhEKtWroCOjg4kEuXMm3p6upBKpdixcxdmzf5dmyESEREREREREdEnEJTSyS203o10ypSpmDNnLjw9q8PWxhYAEB0Tjfv3HyA1NVWb4REREREREREREX0UrSbb/pOamorLl69oOwwiIiIiIiIiIsonAq0OXqY9Wv/aYrEY9erWRfny5XOs09fXR7du32ghKiIiIiIiIiIioo+n1WSbh4c7zv9zFvv378XZM6ewb+8e2NnZZa83MTHB0iWLtRghERERERERERF9EoGg4H+KIK0m26ZNnYqn/v7w9PRC4ybNkJqWioMH9sHJ0VGbYREREREREREREX0SrSbb6tSpjXnz5iM+IQEhISEYMOA7/HP+Ag4c2AdXV1dthkZERERERERERJ9BICz4n6JIq2GJxWJIpVKVZVOmTMWpU6exf98eeHh4aCkyIiIiIiIiIiKij6fV2UgDAgJRo4YnAgICVJZP+2U6AGDTxvXaCIuIiIiIiIiIiD6TQFg0x1QraFqtbDvu54fOnTqpXTftl+k4eMgXgiI62B0REREREREREdH7tJpsW7HCB/36D9C4furUaXB2KVOIERERERERERERUX4opZORajfZRkREREREREREVJJodcw2IiIiIiIiIiIqmThmGxEREREREREREX0WVrYREREREREREVH+K52FbaxsIyIiIiIiIiIiyi9MthERERERERERUb4TCAv+52MIhUJMnDgBV69cQmDAc1y+dBFjxozO9+/NbqRERERERERERFTijRjxIwb074fRY8bC3/8ZatTwxNIli5GSnIz1Gzbm2+cw2UZERERERERERPmuqM1GWqdObZw4cRJnzpwFALx48QKdO3WCl5dXvn4Ou5ESEREREREREVGJd/PmLTRq1BAeHu4AgCpVKqNevbo4e+5cvn4OK9uIiIiIiIiIiCjfCQqhsE1PTw96enoqyyQSCSQSSY62K1b4wMTYGBfO/wOZTAaRSIQ/5i/AgQMH8zUmVrYREREREREREVGxNGrkCDzzf6LyM2rkCLVtO3bogK5du2DEiFFo7d0Wo8eMxfDh36N79275GhMr24iIiIiIiIiIKN8Vxphty1f4YPWatSrL1FW1AcD06dOwYsVKHPL1BQA8ffoUzs7OGDVyBPbs2ZtvMQkcHJ0V+fZuRURkRLi2QyAiIiIiIiKiUsrRyUXbIRQJ4XVNC/wzXG4k57ntw4f3sWDBQmzZsjV72ciRI/Dttz3QuHHTfIupxFa2Kc721HYIJZqgxU4oLg3UdhgllqDhJiDtsLbDKNmMOgC4pe0oSrDaUITO0XYQJZqgzDQoLg/SdhgllqDBBihOf6vtMEosQctdUATN0HYYJZrAYyYUJ77RdhgllqD1Pij2ttV2GCWaoNsxyKfX13YYJZZw9lUozvfVdhhEhe7UqdP46adRiIiIgL//M1SrVg3fDxuKnTt35evnlNhkGxERERERERERaVEhdCP9GL/8Mh0//zwB8+bOgZWVNaKiorB123YsXfpnvn4Ok21ERERERERERFTipaWlYcaMmZgxY2aBfg6TbURERERERERElP+E2g5AO0rp1yYiIiIiIiIiIsp/rGwjIiIiIiIiIqL8V8TGbCssrGwjIiIiIiIiIiLKJ6xsIyIiIiIiIiKi/FdKS7xK6dcmIiIiIiIiIiLKf6xsIyIiIiIiIiKi/Mcx24iIiIiIiIiIiOhzsLKNiIiIiIiIiIjyHyvbiIiIiIiIiIiI6HOwso2IiIiIiIiIiPJfKS3xKqVfm4iIiIiIiIiIKP+xso2IiIiIiIiIiPIfx2wjIiIiIiIiIiKiz1Gkk23lypXDlcsXtR0GERERERERERF9LGEh/BRBRTQsJT09XTg7O2s7DCIiIiIiIiIiojzR6phtM2b8mut6KyvLQoqEiIiIiIiIiIjyVSkds02rybYhgwfh0aNHSElNVbveyNCokCMiIiIiIiIiIiL6dFpNtoWEhGDN2nXYv/+A2vVVq1aB3/FjhRwVERERERERERF9ttJZ2KbdMdvu3bsPT09PjesVCgUEglL6myEiIiIiIiIiomJHq5VtM2fNhp6ensb1jx8/gbNLmUKMiIiIiIiIiIiI8gXHbCt8MTEx2vx4IiIiIiIiIiKifKXVZFtpsPzIS/gcfaWyzN1OH8d/q6K2/fPI1/jr8Es8CnuNyHgJpnRzwoCvbAsj1BJhzdEILNkXhv4t7TG1t7vaNllSOdYci8DBSzGISpDA3d4AE7q7onF1i0KOtuhbveEMTp59gKCQGIj1dVCzhhsm/NQOHm65H5PJKa+xdMVxnDr3AIlJ6XBysMDUCZ3QtFHlQoq8+Lhx4wnWrz+Chw+DEROTCB+fsWjZsm6u2/j6XsS6dUcQGvoKJiaGaNy4Bn7+uTcsLEwKKeriY8dhf+w44o+IqDQAQLkyZhjRpwaa1HPSuM3m/Y+x48gzvIxOg4WpPlo3LoNxg2tBX09UWGEXW2uOvsCSvaHo38oBU3t7qG2TJZVjzdEXb87BmXB3MMCE7m48B2uw/OhL+ByLUlnmbqeP47+qP5/uvhSHQ9fi8TwyAwBQ1dUAYzs6wNONk07lxZrdj7Fk433071QBU4fXUtvmeWgS/tr6AI+exyMyOh1ThtXEgC4VCznS4mP5sSj4+Kk+YHe31cPxXyqobX/yXhJWn4xBWKwEUpkCZWz08V1zK3Sqx3OEJsvPxMPnbILKMndrXRwf66q2fb91EbgRnJFjedMKhlg9wKFAYizOBOMOQGCRc78oru2F4sgi9RtVbQHBV8MAcwcgPhyKEz7A8ysFHGnxtdw3Aj5HIlWWuduJcXx2dY3b+N2Mx7JDEYiIy0QZWzEmfOOMptXNCzhS+iSsbNOOAQP6o20bbyQkJmLbtu24ePFS9jpLCwscPXoYXzZopMUIP195BzE2jC6X/VpHpPlgy5DI4WKtD+9aFvhj74vCCK/EeBCcil3no1DR2TDXdssOhMP3SgxmDywLD3sDXHyUiJEr/LFjanVUKcObkXddvxWEPj0aonpVF8hkcixZcQyDf1yDo/smwtBAX+02kiwpvvthNawsjbFsQX/Y2Zoh8mUCTE0MCjn64iE9PRMVK5bBN980w8iRSz/Y/tYtf0yatApTpvRD8+a1EBUVj99+24Dp09dhxYqxhRBx8WJnbYjxg2uhjJMpFArg4KlAjPjtHPavbI/ybuY52h8+G4TF629jzvgGqFnFFiEvkjFl0SVAAEwZnnsStLR7EJSCXf+8QkWXD5yD94e9PQc7GOLiwwSMXP4UO6ZVR5UyxoUUbfFS3kGMDaPKZr/O7Tri+rNUtKtjgZruhtDXFWLtqWgMXhGII79Ugp255qE7CHjgH4ddxwJR0d0813YZGVK42BvDu5EL/lhzp3CCK+bKO+hjwwi37Nc6udx4mRmKMPxrW3jY6UFXJMA/j1Iw9e8IWJrooHFlPlTSpLytLjYMcsx+nds+Xt7bHlkyRfbrxHQ5Oq8IR+vqvA5WR/G/76AQvjPUuW1ZCL9bDsXDs+o3cKkOQfdZUJxaBTy7BIHn1xD0XgDFqgFAdFDhBF0MlXc0wIaxbx9c6OQyuvztwBSMXxeIcV2c0czTHEeux2HkygDs+6UKKjjlfh1CVFi0mmwbPOg7TJkyGbt27YaJqQm2btmMxUuWYsUKHwCAUCSCs7OzNkPMFyKRADZmunlqW93NCNXfPH1efDDyA63pP2kZMkxY8xyzB3hg1ZGIXNseuhyD4e2d0dRT+YS0l609Lj9OwsYTkVg4rHxhhFtsrPcZqvL6j5k98eVXv+HR4xeoW7us2m32HbqOpOTX2LlxFHR1lZVAzo6WBR5rcdW0qReaNvXKc/u7d5/DyckG/ft7AwBcXGzx7bdfYe3awwUUYfHW4ksXlddjv6uJnUf8ce9JjNpk253HMahV1RYdWiirspztjdGuuTvuP+WwB7lRnoOfYfbAclh1ODzXtoeuRGN4exc0raE8L/Rq4aA8B/tFYuH36itdSjuREHm+jlj0nepYt7/3ccHJu4m44p+Kzl/wXKxJ2ussTFh4FbNH18WqHY9ybVu9ohWqV7QCACzeeK8wwiv2REIBbEzzdgx/UV416d6/mT4OXk/E7aB0JttyIRIKYGOSt1s7c0PVSu1j9xMh1hXAuxofeKiVnqjyUtC4PxRx4UDIbbXNBV9+CwRcBS5tBwAozqyBoGw9CL7oBsXhBQUdbbH1MX/rtp6JQqOqZhjcWllxOLqTMy4/Tsb2c9GY2detAKOkT6LVaTm1R6tfu2/fPpg4cRKm/TIdP/00Bt17fIthQ4dg4oTx2gwr34VGZ6Lx5Ado+csjTNgQgsh4ibZDKnFmbQtGM08LNKhq/sG2EqkC+rqqT/vEukLcep5SQNGVHCkpyi4HZmaanxidPf8YXtXLYNYf+9Gg5W9o330h/rf+DGQyeWGFWaJ5eZXHq1dxOH/+DhQKBWJjk3DixDU0bVpD26EVeTKZHEfPBSM9QwqvKjZq29SsYoNHz+Nw/2ksACD8ZQouXI9Ak3rF/8FPQZq1NRDNauTxHJylgL6u6uWH8hycXEDRFX+hMRI0nvoQLX99jAkbQz/qOuK1RA6pTAEzQ3aDzs0sn1toVtcBDWraazuUEik0JhONf3mKljP9MWFzeJ6PYYVCgSv+qQiOzkSdsqy6yk1oXBYa/xGClotCMWF3FCITs/K87d5bKWhb3RiGeqX0jvhjiHSAGt5Q3D6iuY1LNSgCb6guC7gKuGruEklv7pkn3kXLqfcxYV0gIuMyNba9G5iGBpVNVZY1rGqGu0GpBR0mUZ5ptbLN1dUVN27ezH598+YtdO/RE7t2/g0dHR2sXbdei9HljxpuhpjX3xXudmJEJ2fB5+gr9F38DL7TK8NYzAvf/HD0Wiweh6Zi76+eeWrfqJoZNp18iToVTeFqI8aVJ0k4dTseMrniwxuXYnK5HHMXHUItLzdUKKd5PI/wiDhcvRGADm1qYc1fQxAWHouZf+yHVCrDyO+/LsSIS6batSti4cIRGDNmOSSSLEilMjRvXgu//vqdtkMrsvyDE9Br9HFkSmQwNNDBihnNUK6Mudq2HVp4ICEpE33G+UGhUEAqU6Bn+woY3osXyJocvRaDx6Fp2DsjbwnfRtXMselEBOpUMIWr7X/n4DiegzWo4WaEef0M4G6nj+ikLPgce4W+S57D95dKebqOWHwwErZmumhQiRVBmhz9JxSPAxOwdxn/RhWEGm6GmNfHGe62+spr4ePR6LssGL5Tymk8hlNey9B0uj8kUjmEQgFmdHdEw0qsutKkhrM+5n1jC3cbXUSnyOBzNh5910bC9ycXGOvnnkC7H56B51ESzOmi/iEUvadyU0BsDNw5qrmNsRWQGq+ySJGaAIGxVQEHV3zVcDfCvIHucLcXK//WHY5A34VP4ftbNbXnidjkLFi9Vy1rbaqL2KS8J5mpEHHMtsIXHx8PR0dHvHjxdmwyf39/dO/RE3t274Sdvd0H30NPTw96ekV3DJIm1cyy/10RBqjhZogW0x7B71YiujXkCfdzvYzPxNwdIdgwvnKOSglNpvVyx/TNgWg79S4EAsDFRoyuDW2w72J0AUdbvM384wCeB77C3xtG5NpOIVfAytIYs3/pBpFIiGpVnBEVk4T1W/5hsi0fBAS8wJw5WzBiRBc0alQDMTEJWLDgb8yYsQFz5w7TdnhFkruzKQ6sao+UtCyc+DcUkxdewtZFrdUm3K7de4U1Ox/g11FfwLOSNcIiUjB31XWs3HYfP/bNW0K/NHkZl4m5fwdjw4SqeT8H9/bA9E0BaDv1tvIcbCtG10a22Pcvz8HqNKn69sl9Rac31xHTH8PvdiK6Ncj9OmLNySgcu5WILWPK5fn3U9q8jEnD3NW3sWFuc06CUkCaVHmb6K3oJEaNMoZo8Zs//O4koduX6rs2G+kLcWBSWaRnynHlWRr+OPgSzta6ObqYklKTim+r/iraK5NvLRaGwe9BKrrVMc1lS2VVWwU7PXi6iAs6zBJBUKsD8PwqkBKr7VBKlCbvTGxQ0VmZfGsx+T78bsajWyMmgql40mqy7fr1G2jbtg2uX7+usvz58+fo8W0v7N2z64PvMWrkCIwfP66gQsx3poY6cLMTIzRGc1ks5d2jkDTEJWeh68z72ctkcuDms2RsP/sK99fUh+i9TLqlqS58RlVCZpYcialZsDXXw+K9YXCx4UWGJrP+2I9//n2Mbet+hL2dea5tbaxNoaMjgkj09sbOw90WMbEpkGRJoaer9XlZirXVq31Rq1YFDBnSAQBQqZIrDAz00afPLIwZ0x22tpyt7X16uiKUcVLebFSrYIWHz2Kx5cATzBrzZY62f22+i45feaB7G+X4jRXdLfA6Q4pfl13B8N7VISylT+Y0eRSaqjwH/3Y3e1n2OfjMS9xf20D9Ofinyqrn4D2hcLFRP+kKqTI11IGbrf4HryPWn47G2pNR2DCqHCo6cYIaTR49T0BcYia6jjyRvUwmV+DmwxhsP/wc9327q/w9o89naih6cwxr7koqFApQ5s05obKzAYJeZWLNqVgm2/LI1EAEN2tdhMblXuWTLpHj2P1U/NSS1w55YmYPlK0LxY7JubdLjQOMVRPJAmML5XLKE+U9sz5Co3POmgsoq9jiklWP79jkLFjnccw3KlyCUvpnVKt3vSt8fOBZXX2lwLNnz9C9R0+0a9sm1/dYvsIHq9esVd3W/0m+xZjf0jJkCI/JREdOX54v6lc2g+8s1a5LUzcEwMPBAEPaOOW4yXuXvq4Qdhb6yJLKcfJWHLzrWhd0uMWOQqHA7PkHcOrcQ2xd+wP+z959xzdR/nEA/1yS7nQvOiil7FXKEgRkqwXZsqcDN/wUUFniYCNLpYBMBVH2noJMGbL3KFBoKW3p3itNcr8/goXQtBRpck37eb9eeb3Mc88l33s8rpfvPaOiz7N7Yzas74+dey9Aq9VC9mjlpvCIBLi7OTDRVgJycnIhl+v3vvj3h6DIUXjFotUCqjzDcwhm56gLJNRkj1Z+FEURAJNtT2pWyxHbJwfplY1f/uga3InXYGPIzNEgMkGFrkVMNr9sfyx+3huLZcOroF4lrspWlGZBnti+KFivbPzc0wioaI9hvWsx0WYEmbmPzuEmTsXeRyuKUKk592txZeZqEZmUh65BRScn917NgEojoksQh5kXh9CwM5CZDNw6UXTFyKsQAppAPPlEx5EqLwH3rxg3wDIk/zdzM8Mj2IKq2OHkzTQM7fB4ns0T11MRFMCEPJUekv7yvXHjJm7cuFno9tDQUISGhhb5GSqVCipV6V1wYOamKLSt5wBvV0vEpeQhZOdDyGQCOjfRJdvG/BoODydLjO6uW6pbpdYiLEaXwc/TaBGbkocbkVmwtZKjkgef+j9NaSNHdV/9HxI2VnI42Snyy8csvQ0PZ0uM7qVboe1SWDpiU1SoVdEOsSkqhGyLhFYLDOvoXeDzy7vvZmzGzj0XsHDe27CztUJ8gm4Cc3ulDaytdT/0vpy4Bp4ejhg9ohMAoH/v5li9/jimztqGQf1aIuJ+PBavOIDB/VpKdhylWWZmDu7ff5j//sGDeNy4EQ5HRyW8vd0wZ85axMYm4fvvPwYAtG3bEBMnLsMff+zHK68EIi4uBdOm/YbAwCrw9GQS/2lzlp9HqyY+8PKwQ2Z2HnYevIfTlx9i2bQOAIAx3x+Dh6stRr/bEADQtpkvft18A7WquKB+TTdERKfjp5UX0baZL390G6C0UaC6r/6thI2VDE5KBar76oY1jVl6S/d3rrc/gEfX4GQVavnZITYlFyFbI6EVRQzr5GPq8M3CzM1RaFvPEd4uFohLVSNkVwxkMqBz40f3ESsj4OFkgdHddH/Dlu6LxU+7HmL2W5Xg42KJ+Efz19hayWDHuWILUNpaoPpTKxPbWMvhZG+VXz5m9j/wcLXB6Ld1D/dUeRqE3df9PcxTaxGbmI0bYcmwtVGgkjeTFk+buTUGbes4PD6H98RCJgCdG+qmWhnz2wN4OCowuqvuR/PiffGo62cDPzdLqNRaHLmege1nUvBNH96nFWbmngS0rWkHbycF4tI0CDmQpGvj+rrzccyGWHg4KDD6df2HppvOpqNDLTs4cwGVZxMEoOEbwIXdgFajv+nNr4G0eIj7FwEAxJPrILy7CGg+ALh1HEK9VwHvWhC3zZAicrMwc8N9tA10grerFeJSVQjZHq37zfySrofgmBV3dX/reupWmR/c3hNDZoVixb6HaFPPEbvOJOFaRBYmDfaX8CioUOV0ZEip6GYSFBSERo0awsNdNx47Lj4e586dx8WLF6UNrATEJqswekU4UjI1cFEq0KiKHdZ9WR0u9rpERXRSHgTh8ckXl5qHHtMeJxhX/BWHFX/FoUk1JX4bVc3k8ZcF0UkqCE/8A89Va/Hj5khExufA1lqO1vWcMHNYNTjYlop/DqXKmg0nAQCD31ukVz79277o2bUJACDmYbJeTyCvCk5YHvIeps/Zjq5958DTwxFD+r+C995qa7rAzcjVq3cxZMiU/PfTp68GAPTo0QozZnyI+PgUxMQ8HnbQs2drZGbm4Pff92HmzN9hb2+LZs3q4Isv+ps8dnOQlJKDMbOOIT4pG/a2lqgR4IRl0zqgRSPdj7bouEy9a/BHAwMhCAJ+XHkRsQlZcHG0QttmFfHZ2w2kOgSzF52Yq9fGuXla/LglApFxj67Bgc6Y+R6vwYWJTcnD6F+euo/4vDpc7HXtFZ2swhPNizV/JyBPLeLTZeF6n/NJJ0+MeKPwxW2ocLrrxOP3cUnZ6PHEsNMVm25ixaabaFLPHb99316CCEu32BQ1Rq+MfHQOy3Xn8KiAQs/hbJUWkzZE42FKHqwtZKjsYYnvh1REp4aOhXwDxaZqMHpdLFKyNHCxk6NRJRus+9AXLna6JFp0qlrvOgwAd+NVOBeRg+Vv87pQLAFNIDh5QXt+R8FtjhWAJxf5ibwCccPXEDp8ALz6IZAYCfGPL4G4u6aL18zEJudh9LK7SMlU6/7WVbXHurG1nvjNrH+daFjFHrOHBeCHbVGYt/UB/D2sEfJxVVT3YW9uKj0EL29fyQYeubq6YvmyJWjcuDGioqIQH6+baNLd3Q0+Pj44c+Yshr33PhITn298e3RUJMSD/YwRMj0itFsL8fhbUodRZgktfgUyDfwxp5Jj1wXAOamjKMMaQYyYKnUQZZpQaQLEE+9IHUaZJTRfAfGvvlKHUWYJHdZBvPuN1GGUaULAdxD/fFPqMMos4fVNEDd2kjqMMk3otRvaic2kDqPMkk3+B+KRQVKHUab5DDgidQilwoN+FZ5d6QX5rn347EomJulj5OnTp0Imk6F1m7YIC9PP9FepEoC5c2Zj2rQp+OCDjySKkIiIiIiIiIiIqPgkTba1ad0aPXv2KpBoA4CwsLv4auI32LRxvQSRERERERERERHRCymnc7ZJOtuzSqWC0r7wiWSVSrtSvfgBERERERERERHRkyRNtm3fvgM//jAXwcHBUCofL9OrVCoRHByMeXPnYOvWbRJGSERERERERERE/4lMMP6rFJJ0GOm3302CIJNh0cIQKBQKqFS65ektLS2gVquxZu06TJo85RmfQkREREREREREVDpImmxTqVQYN248pk6dhsDAevBw9wAAxMXH4fLlK8jIyJAyPCIiIiIiIiIi+q8kHU8pHUmTbf/KyMjAiRMnpQ6DiIiIiIiIiIjohUieY7S2tsZLTZqgWrVqBbZZWVmhV683JYiKiIiIiIiIiIheSDmds03SZFtAQGUcOXwQmzdvxMED+7Fp4wZ4enrmb7e3t8e8uXMkjJCIiIiIiIiIiKj4JE22TRg/HjdDQxEYGIRXWrVBRmYGtm7ZBB9vbynDIiIiIiIiIiKiFyUzwasUkjSsxo0bYfr0mUhKTkZ4eDiGDn0bh48cxZYtm+Dn5ydlaERERERERERERM9N0mSbtbU11Gq1Xtm4ceOxf/9f2LxpAwICAiSKjIiIiIiIiIiIXgjnbHs2uVyOXr3ehJubW4l8+Z07YahfP7BA+YSvJuLPP/fh11+Wl8j3EBERERERERERmcJzJds0Gg1mzpgOKyurEvnyPXv3onu3bga3TfhqIrZu2w5BKJ1ZSiIiIiIiIiIiKgLnbCueCxcuom6dOiXy5SEhCzB4yNBCt48fPwG+FSuVyHcREREREREREREZm+J5d1i5ahW++eZreHt74fKVK8jKytLbfuPGzRILjoiIiIiIiIiIzFQpnVPN2J472bZo4QIAwOTJk/LLRFGEIAgQRREV/fxLLDgiIiIiIiIiIiJz8tzJtqbNmhsjDiIiIiIiIiIiKktK6ZxqxvbcybaoqChjxEFERERERERERGT2njvZ9q9q1arBx8cHlhYWeuX79u9/4aCIiIiIiIiIiMjMcc624vHz88Py5UtRq2bN/LnaAN28bQA4ZxsREREREREREZVbzz16dvKkbxF5PxKBgUHIzs5Gm7bt0bNnL1y6dBlv9upjhBCJiIiIiIiIiMjsyATjv0qh5062NWrUCLNmz0ZScjK0Wi1EUYvTZ85g+owZmDL5O2PESEREREREREREZBaeO9kmk8mQkZEJAEhKSoanpycA4MGDKFSpUqVkoyMiIiIiIiIiIvMkM8GrFHruOdtCQ2+hTu3aiIyMxIULF/DxRx8hT5WHgYMGICLivjFiJCIiIiIiIiIiMgvPnWz74cefYGtrAwCYNXsOVq38BVu2bEJycjI+/OjjEg+QiIiIiIiIiIjMUCmdU83YnjvZduTIkfz/Dg8PR6vWbeHk5ISUlJSSjIuIiIiIiIiIiMjsCF7evuJ/2dHf3x+VKlXCqVOnkJOTU9JxvZDoqEipQyAiIiIiIiKicsrbp6LUIZQKDz73N/p3+M4ON/p3PK/n7tnm7OyEn39ehBbNm0MURbRo2Qr379/H3DmzkZKaikmTJhsjzucmPpgtdQhlmuD7ORD3s9RhlF0eH0K88InUUZRpQoMF0Ia0kTqMMks2/DDEVa9JHUaZJgzZh9vulaQOo8yqFh+B74QaUodRZn0jhkIzIFDqMMo0+R+XIf75ptRhlFnC65ug/bGV1GGUabJPj0Lc0UXqMMosocsO3guTaQjlcxjpc6/b8O2330Cdp0aTl5oiOzs7v3zb9h1o26Z1iQZHRERERERERERkTp67Z1vrVq0wYOAgxMQ81Cu/d+8efH19SywwIiIiIiIiIiIyY+WzY9vz92yztbXV69H2LycnJ+SqVCUSFBERERERERERkTkqdrLN09MTAHDq1Gn06tUrv1wURQiCgI8//hAnTpwo+QiJiIiIiIiIiMj8CILxX6VQsYeRHjr4FyZMmIjJU6Ziw/q1qB8YCAsLC3z11XjUqF4dTk5O6Na9pzFjJSIiIiIiIiIiKtWKnWyb+f0szJw5HYcOH0abtu0wePBgZGRmwM7WDrv37MWvv65EXFycMWMlIiIiIiIiIiJzUTo7nhldsZNtK1euwsGDhzBnziwcOngAX345Fj/9NN+YsREREREREREREZmV51qNNDIyEn369MPbbw3F0qWLcfv2HWg0ar06rwd3KtEAiYiIiIiIiIjIDJXSOdWM7bmSbQDg4+ODjp06IjU1FX/u2weNWv3snYiIiIiIiIiIiMqB50q2DRjQH998PRF//30Mbdq2R1JSkrHiIiIiIiIiIiIicyaTOgBpFDvZ9vvq3xAUFIQJX03Exo2bjBkTERERERERERGRWSp2sk0ul6HDq68iJuahMeMhIiIiIiIiIqKygHO2Fa1f/4HGjIOIiIiIiIiIiMjsPfcCCURERERERERERM9UPju2ldep6oiIiIiIiIiIiEqe5Mm22rVr4dNP/4ehQ4fAxdlZb5tSqcTcObMlioyIiIiIiIiIiP4zQTD+qxSSNNnWulUr7Nq5A926dsUnH3+Eo0cPo3nzl/O3W1tbo3fvXhJGSEREREREREREVHySJttGjx6JnxcvQbv2HfBS05excOEi/PrLCrRp00bKsIiIiIiIiIiI6EUJJniVQpIm26pXr461a9flv1+46GeMGTMOS5f8jA4d2ksYGRERERERERER0fOTdDVSlUoFBwcHvbItW7dCq9Xi50UL8d2kyRJFRkREREREREREL6SUzqlmbJIm265du44WzZvjypUreuXbtm+HIAj44Ye5EkVGRERERERERET0/CRNtq1c9RuaNWtqcNvWbdsgCAIGDOxv4qiIiIiIiIiIiOiFSTp5mXQkTbbt3bsXe/fuLXT7lq1bsWXrVtMFRERERERERERE9AIkTbaVB2u2X8ea7TcQFZsOAKhayRmfDG6IVk0rGqw/eNROnLkUU6C8ddOKWDwt2KixmqM/tlzCmq2XEfUwDQBQrbIrPn6rKVo3q2yw/r4jt/Hzb6dxPyoVarUGlXyd8XbfhugeXNuUYZutJdvCMXfNHQzpWBHjh9YotF5aZh5+WBeG/afjkJKRB283G4wfWh2tG7iZMFrzEZuhwZwTaTgakYucPBF+TgpMa++Iup6WBuuffpCLoVuSCpQffccD7nZyY4drdmLT1Jh9KAVHw7J17euswLTOrqjnbVXoPqcicjBzfzJuJ6jg5aDAhy0c0bO+0oRRmxfBzg6u40ZD2el1yN3ckHvlGuInfIvci5cN1rdp3gy+29YVKL9bpzE0cfHGDrdU83ulMZp/8S68G9WFvbcH1nb/GKHbDuRvr9njVTT+sB+8GtWBraszfg7qhthLN5/5uVaO9mg/dSRq9nwVNi5OSI2Iwt7PpuHOnqPGPByzIPtxDwR3nwLl2n1rIf46rWD9r5ZDqN2kQLl44Si0s4YbJUZzNn93LBbs1f93XdnDEnu+qm6w/r5LqVi8Lx73E1RQa0RUcrfC221d0e0lZ1OEa5ZiMzSYczIDR+/nIkctws9RgWntHFDXw6LQfVQaEQvPZGL7rWwkZGnhbifDx42VeLOWjQkjNw/z/0zAgv36912V3S2wZ4zh3xubz6Ri/LpYvTJLhYDLM6oZLUZzx3vhMo5ztklj6NAh6NQxGMkpKVi9+nccO3Y8f5uLszN27dqBl5u3lDDCF+PpZofR7zVBJR9HiKKIrftu45Ov92Hz4h6o5u9SoP78bzsgT63Nf5+SloPu723G660CTBm22ajgocTnH7ZEJV8niCKwde91fDJuO7asGIhqlQsmdhwdrPHRkKYI8HOGhYUch07cxfgZ++DqbItXmvqb/gDMyJWwVKz76wFq+BWdcFCptXhn6gW4Olrgx5GB8HC2QnRCDhzsJL/clEqpOVoM2JiIpr6WWNLFBS42MkSkauBg/ez+1rsHuUNp+fiPl6ttOe2jXYTUbA36r3qIppWssbSvB1zsZAhPUsPRpvC2epCShw/XxaFvQyVmdXfDyXvZmLgrEe5KOV6pwh8hhnj+MBOWNWvg4ScjoXkYC/tePeCz6XdEtOgAzcPYQvcLb9oG2oyM/Pea+ARThFuqWdrZIvZSKC6u2IS+WxYY3H7/2HlcW78HXZdNLdZnyiwsMHj/L8iMS8SGXp8iLSoWTpW8kZOSVtLhmyXtVwMA2RPXhIpVIR+/FOKpfYbrzxsJKJ5IYiidIJuxodD6BFTzssKKT/zz3ytkhf/wcrSV48PXPBDgaQkLuYDD19Ix/o8ouNgr8EotexNEa15Sc7QYsCUJTX0ssaSzs+4+IkUNB6uif9yO/DMVCdlaTGnrgEqOCsRlaSCKJgraDFXztMSKD3zz3yvkRbev0lqGPV/6578vp7mGYuG9MJVVkv76ffedtzFu3FisW7ce9g72+G3VSsyZOw8hIbqbS5lcDl9f32d8SunWrnklvfcj322CtTtu4NL1OIPJNicHa733uw+FwdpageDWhp+clHftWlTRez/y/RZYs/USLl57aDDZ1rSBfo/Cob0bYuueGzh3JZrJtiJk5qjx+fxrmPx+LSzafK/IupsPRSM1Iw9rJjWGhUL3B8/XgwmKwiw7lwEvpQzTOjjll/k6Fu/S7Gorg4MVbyqKsuxkGrwcFJje5fH1wNep8Cf9ALD2fAZ8nRQY20F3ja7iZoHzD3Kx8nQak20GCNZWUHbuiOgh7yHn5GkAQNKsH2D3egc4vT0YidNnF7qvJiER2jQmfJ50Z+9R3NlbeG+zy6u3AQAcKxXsiVWYBu+8CRsXR6xo3g9atRoAkBoR9WKBliXpyXpvha7vQnx4H7hx1nD9TP1zVni5I5CbA/HUfmNFaPbkMgHuDkVfe//VtJr+Q70hbayw9XQKzt/NYrLNgGUXMuGllGNaO8f8Ml+Honv2/H0/F2eiVdg3yA1OjxIaPs/Yp7yTywW4OxT/p7MAPFf98oz3wuVAOU02S3oFGDRoIL74Ykz+vGyrVv2GFcuXwcbaGrNmz5EyNKPQaLTYe+QesnLyEFTbs1j7bNwTik5tq8DWpng3KOWZRqPF3kO3kZWjRoM6Xs+sL4oi/jkXiXuRSfi8vvn2njSFSStC0aaBK5rXc31msu3guXgEVXfEpBWhOHguHi72FnijRQW8180f8iKeZJdXh+7lokUlK3y2JxlnolTwtJOhXz079Klr+8x9e6xJgEojopqrAsNfskdDb8Nd7cuzg7ez0TLAGp9uiseZ+znwtJejfyN79GlQ+A+2iw9y8bK//oOPFgE2mL6/4HAFAiBXQFAoIObk6hWLOTmwbtq4yF39Du2GYGUF1Y1QJM76ATmnC0lu0Aup0bUdHpy8iE4LvkaNbu2RFZ+EK3/sxPGZSyFqtc/+gPJEroDQ8g2Iu38r9i5Cmx4Q/9kL5GYbLy4zFxGfi1e+ugkrCwFB/rYY1cUT3i7P/psliiL+uZWJe3G5GN21ggkiNT+HwnPRoqIVPvszBWeiVfC0k6NfXRv0qV34fcTBe7mo42GB5Rcysf1WDmwUAtr5W+F/TZWwVvBezZCIeBVemRQGK4UMQZWsMaqTG7ydC/99lqXSot2Uu9CKQG1fK4zs6IZqFQqfvqI8470wlVWSJtv8/Pxw5uzjG+uzZ8+hd59+WLf2DygUCixdtlzC6EpO6N0k9B+xDbkqDWxtLBDy3auo6v/seScu34zD7XvJmPp5KxNEab5CwxLQ76O1yFWpYWtjiQVTu6BqZddC66dn5KJVz6VQqTSQyQV8M6odWjSpVGj98m7XiYe4fi8NG6e+VKz6kXHZ+OdaMrq0qIDFY4Jw/2EWvlsRCrVGxPBeHA79tMg0NdZeUeOtIDu839gFV2PzMO1oKizlQPdahm8y3O3k+LatA+p6WEKlEbHxWhaGbknE2t5uqFPE/CzlUWRyHtacy8NbTR3wQQtPXInOxdR9ybCQC+gRaHhIdHymBq5PzffhZidHRq6InDwtrC34BPVJYmYmsk+fg8voEXh46zY08Qmw79kN1o0bIu9euMF91LFxiB09DrkXL0OwsoLDoH7w3boWkcHdkXv5qmkPoBxwDqiIyu2a4crvO/BHp/fhUtUPnRZ+A7mFAkcmFRyqWp4JjdsBtvYQj2wr3g5V6kLwqwbt0m+MG5gZq+9vi+kDfVHZwwpxaXlYsCcOg368h+3jqkJpbbg3VXq2Bq0nhkKl1kImE/BNb2+0qMl5Mw2JTNNg7bUsvFXfFu83dMbVuDxM+zsdljIB3Wsa7o39IE2D8zEqWMmB+cFOSM7RYtLRNKTkavV6yJFOfT8bTO9nhcrulohLV2PBvkQMWhCJ7Z/7Q2lgqGNld0tM7VMBNbwskZ6jxYrDyegfEomdn1dChWf0ri+PeC9cDpTTcdSSJtuSkpLg7e2NBw8e5JeFhoaid59+2LB+LTwrPLv3l6WlJSwtS3cGu3JFR2xZ0hPpmSr8efQexs48gt/mdn5mwm3j7lBUr+yCwJoeJorUPFX2c8bWFYOQnpmLPw/dxpipf2L1/N6FJtzsbC2xdcUgZGWrcPJcJGaEHEVFb8cCQ0wJiEnIwbSVt7BifANYWRZveIFWC7g6WGDS+7UglwmoG+CA2ORcrNgRwWSbAaII1PGwwMjmDgCA2u4WuJ2Yh7VXswq9wajsrEBl58eX7wZelrifqsHKi5n4/jUnU4RtNkQRqONlhVFtddfb2hUscTs+D2vPpxeabKPnF/vJZ/D4cRYCrp6BqFYj9/JVpG/eDuv69QzWzwu7i7ywu/nvc86cg4W/H5w+eBexn4w0VdjlhiATkBmXiB3vT4So1SLm/DXY+3ii+RfvMtn2FKFtD+DScSCleAt1CG16QLx/CwhjkrgwrWo/7klcw8ca9SvZot23odh7IRW9Xi44pQoA2FnJsGVMFWTlanHyViZmbI2Br5tFgSGm9OjvnLsFRjbTtXNtdwvcTlJj7bXsQpNtWlE3qmtWB0fYPxqCN6a5PT77MxVft3Jg77antKpll//fNWCF+n7WaDf1HvZeSkevpgWTkw38bdDA30bv/Rvfh2PdP6n4NJiLhT2N98JUVkmabDt9+gw6deqI06dP65Xfvn0bffr2x8YNBVcqe9qI4Z9g9OhRxgqxRFhayFHJR3chrlvdHVdD47Fq81VMGvVKoftkZedh9+Ew/G9o0UNw6FH7+joBAOrW8MSVmw+xauMFTPqig8H6MpmQX79WNQ+EhSdhyW9nmGwz4Nq9NCSmqtBz3ON/oxqtiLM3U/D7nw9weXW7AkND3Z0tYSGX6ZVX8bZDfIoKKrUWlgr2CnqSm50cVVz0L8UBLgrsC8t5rs8J9LTAuRhVSYZWJrgr5ajqpv+Es4qbBfbdzCp8Hzs5EjM1emUJmRoorQT2aitEXvh9RHXrC8HWBjJ7e2hi41BhaQjyIu4X+zNyz1+CddOCKzzSi0uPiYc2T603ZDThxl3Ye3lAZmEBbV6ehNGVIm5eQN1mugUQisPKBsLLwRA3LjRuXGWMg60c/h5WiIgv/G+WTCagkrtuyF0tXxvcfZiLJfsTmGwzwM1Whiou+g9EA5wV2Hc3t5A9AHc7GTzt5PmJNgCo4qyACOBhhgb+TpxrrCgONnL4u1kgIrF4910WcgG1fKwQkcBrrSG8Fy77ymnHNkj6qyFkwQLcuH7D4LZbt26hd59+mDfvhyI/Y37IAlSvUUvvVdpptSJUeZoi6+w9cg8qlRZdOlQ1UVRlh1YEVKqi21e//rP/f5RXzeq6YPusZtgys2n+q26AA7q0qIAtM5sanIOtYXUnRDzMglb7eEmr8JgsuDtbMtFmQEMvC4Qnq/XKwlM08LZ/vomKbyTkwZ0rMBXQoKIV7iXp39yGJ+XBu4iJd4N8rXAyXP8G78S9bAT5cK6VZxGzsqGJjYPM0QG2bVshY0/xV2e0qlsbmtg4I0ZXfkUePw+Xqn56d7uu1f2RHh3HRNsThNbdgdQk4MLfxavf9FVAYQnx2E7jBlbGZOZqEJmggrtj8Yd6aUURKjXnFzSkoZclwlP072PDUzTwVhZ+H9GwggXisjTIzHvcpuGpasgEoEIR+5FOZq4WkYl5cLcvXlJSoxVxKyYX7lyEwiDeC5MUKlSogPk//YirVy8j7M5tHPhrPwIDA0v0OyR9bHHjxk3cuHGz0O2hoaEIDQ0t8jNUKhVUqtKbwZ6z7DRavVQRXh5KZGblYefBOzh9KQbLZnQEAIyZcQgebnYYPUx/PqxNe26iQ4tKcHa0NvSx9Micn4+hVTN/eHna69p3/02cvhCJ5XN6AgC+nLIXnm5KjP5QtwDC4t9Oo25NT/j5OEKl0uDIP+HY/ucNfDu6nZSHUWopbRSoXlH/KbKNlQxO9hb55WMWXIWHizVG99clhvu/6ovf90Vi6spQDHq9IiIeZmPxtnAMDmbPQUOGBtlhwMZELD6TgeBq1rgSm4cNV7Pw3RNzpsw9kYbYDC1mPuoWv/JiJnwd5KjqokDuo3kqTj1QYVk3w8NxyrO3XnJA/5UP8fPxVHSsZYvL0Sqsv5CBSZ0et9WcQ8mIS9dgZlfd0I5+DZX4/Ww6Zh1Ixpv1lfgnPAd7r2fh574c0l8Y27atAEGA6s5dWFauBLdvx0N1OwxpazYAAFy/+hKKChUQO1zXE93pg3eQFxEJVeit/DnbbF5pjqjeg6U8jFLBws5Wlxh7xLmyLzzr10R2UirSImNg7ewIRz8v2Hvrzke3GrrVyjMeJiAzNgEA0H3lTKRHxeLA+LkAgLOL1uCl4YPQ8ccJODV/NVyrVULL8R/g9E/FXwSgzBMECK26Qfx7O6DVT1wIH00FkmIhrvtJv7xNT4jnDgIZqSYM1PzM3BqDtnUc4O1igbhUNUL2xEImAJ0b6v7OjfntATwcFfkLICzeF4+6fjbwc7OESq3FkesZ2H4mBd/08ZbyMEqtoYG2GLAlCYvPZSK4qpXuPuJ6Fr5r45BfZ+7JdMRmajGzg67N36hujUVnMzHhYBqGN1EiOUeLWScy0LOmDYeQGjBzRzza1raDt7MF4tLUCPkzETKZgM6PFlsasyZGdw53cgcALNiXiPqVrFHJzQJp2VosP5yM6GQ1er/E+fAM4b1wOVDKurY5Ojpi29bNOHHiJAYNGoLExEQEVK6M1NSS/XteKvoIBwUFoVGjhvBw112g4uLjce7ceVy8eFHawEpAUnI2xsw4jPikLNjbWaJGgAuWzeiIFo19AQDRcZkQnjr57kam4NzVWCyf2VGKkM1KYkoWxkz9E3GJmbr2reKG5XN65i94EBObDtkT7ZuVk4fv5h7Ew7h0WFspEFDJBbMmBqNT+xpSHYLZi07I0TuHvdyssWxcA8xYdQvdxpyCp7MVBgdXxHvd/KULshSr52mJnzo5Y97JdCw8kw5fBznGvuKALjUez/URn6lFTMbjH395GhHfH0tDbIYG1hYCarhaYEV3FzT1Zc+rp9XztsL8Xu6YeygFC/9Oga+TAuNedUaXuo+TyPEZGkSnPn6i6utkgZ/7emDG/iSsOpOGCvYKTH7DFa9UMTz3DQEyB3u4ThgDhXcFaFNSkbFzDxKnzgLUunZVeHpA4fv4h7JgYQG3SV9BUaECxOxs5F6/iag3ByL7+EmpDqHU8G5cF28dfpwEe33eeADAxV83Y9vb41Cjazt0/3VG/vZe634AABz+dj6OfBcCAHD089IbMpr24CFWv/4uXp83Dh9d3o60qFic+nEVjs9caoIjMhN1m0Fw94b28NYCmwTXCgVXbfXyh1CzIbTT3jdNfGYsNkWN0SsjkZKpgYtSjkZV7LBuVABcHvUKik5W6f0Oy1ZpMWlDNB6m5MHaQobKHpb4fkhFdGrIRIUh9Twt8FOwE+b9k4GFZzPgay/H2Jb26FL9ifuILP37CDsLGZZ3dcaUv9PRe2MinKxkCK5qjU+bcpiuIbGpaoz+PQYpmVrdOVzZButGVISL8t9zWK13L5yWrcHXG2IRn66Bo60MdXyssWZERVTlaqQG8V6YTO2Tjz9CdHQMRo4anV8WGRlZ4t8jeHn7is+uZhyurq5YvmwJGjdujKioKMTH657Iuru7wcfHB2fOnMWw995HYmLic31udFQkxAezjREyPSL4fg7E/Sx1GGWXx4cQL3widRRlmtBgAbQhbaQOo8ySDT8McdVrUodRpglD9uG2O1dSNpZq8RH4TuCDGGP5RgyFZkDJDtcgffI/LkP8802pwyizhNc3QftjK6nDKNNknx6FuKOL1GGUWUKXHbwXNjLf6WFSh1AqRM0w/lRflb8OK7BwZmGjIA8fOoDDR47Cy6sCXm7WDA8fPsSvK1fhjz/WlGhMkg5qnj59KmQyGVq3aYumzZqjc5eu6NylK5o2a47WbdpCJhMwbdoUKUMkIiIiIiIiIqJSasTwT3Ar9Ibea8Rww51X/Pz8MGTwINy7F44BAwZh5arfMHnSJPTu3atEY5J0GGmb1q3Rs2cvhIXdLbAtLOwuvpr4DTZtXC9BZERERERERERE9EIMLKpX0uaHLMDiJfrTYxQ2t79MJsPly5cxY8ZMAMDVa9dQs0YNDB48CBs2bCyxmCRNtqlUKijt7QvdrlTalerFD4iIiIiIiIiISDrPs3BmXFwcbt26rVd2+84ddOrUqURjknQY6fbtO/DjD3MRHBwMpfLxhJxKpRLBwcGYN3cOtm7dJmGERERERERERET0nwgmeD2HM2fOokqVKnplAQEBiIp68B8OrnCS9mz79rtJEGQyLFoYAoVCAZUqDwBgaWkBtVqNNWvXYdJkztlGREREREREREQvZsnSZdi+bQtGjBiOHTt2okFQEAYNHIAvvhxTot8j+TDScePGY+rUaQgMrAcPdw8AQFx8HC5fvoKMjAwpwyMiIiIiIiIiov9KMP6cbc/j0qVLeHfYexg3dixGfvYpIiMj8fU332LLlq0l+j2SJtv+lZGRgRMnTkodBhERERERERERlWF//XUAf/11wKjfIemcbQBgbW2Nl5o0QbVq1Qpss7KyQq9eb0oQFRERERERERERvZBSNmebqUiabAsIqIwjhw9i8+aNOHhgPzZt3ABPT8/87fb29pg3d46EERIRERERERERERWfpMm2CePH42ZoKAIDg/BKqzbIyMzA1i2b4OPtLWVYRERERERERET0ogTB+K9SSNJkW+PGjTB9+kwkJScjPDwcQ4e+jcNHjmLLlk3w8/OTMjQiIiIiIiIiIqLnJmmyzdraGmq1Wq9s3Ljx2L//L2zetAEBAQESRUZERERERERERC+knM7ZJulqpHfuhKF+/UDcuXNHr3zCVxMBAL/+slyKsIiIiIiIiIiIiP4TSXu27dm7F927dTO4bcJXE7F123YIpXT8LRERERERERERFUEmGP9VCkmabAsJWYDBQ4YWun38+AnwrVjJhBERERERERERERH9d5IOIyUiIiIiIiIiojKqdHY8MzpJe7YRERERERERERGVJezZRkREREREREREJa+czsPPnm1EREREREREREQlhD3biIiIiIiIiIio5JXPjm3s2UZERERERERERFRS2LONiIiIiIiIiIhKHudsIyIiIiIiIiIiohfBnm1ERERERERERFTyymfHNvZsIyIiIiIiIiIiKins2UZERERERERERCVPVj67trFnGxERERERERERUQkRvLx9RamDKGnRUZFSh0BERERERERE5ZS3T0WpQygVohY3MPp3+Hxwwejf8bzK7DBSccsbUodQpgk9dkE8NUzqMMosoekyaIYZ/6JUnsmXXYB2ZkupwyizZGOOQVwTLHUYZZrQfy/ia1eWOowyy/36PWh61ZU6jDJLvvEqtFObSx1GmSabcIJtbERsX+OTTTgB7cgmUodRZsnmnYH2lw5Sh0FUZpXZZBsREREREREREUlI4JxtRERERERERERE9ALYs42IiIiIiIiIiEpeOe3ZxmQbERERERERERGVPKF8Dqgsn0dNRERERERERERkBOzZRkREREREREREJU9WPoeRsmcbERERERERERFRCWHPNiIiIiIiIiIiKnnldIEE9mwjIiIiIiIiIiIqIezZRkREREREREREJY+rkRIREREREREREdGLYM82IiIiIiIiIiIqeZyzjYiIiIiIiIiIiF4Ee7YREREREREREVHJk7FnGxEREREREREREb0AyZNtA/r3ww8/zEXfPn0AAF27dsGRwwdx8sQxfD56lMTRERERERERERHRfyLIjP8qhSQdRjps2LsY8+UXOHz4CMaM+RKeFTzx/nvDsGTpMshlMnzwwfuIefgQv//+h5RhEhERERERERERFYukybbBgwbiyy/HYsvWrahbpw527dqBsWPHYc3adQCAhw8fYsiQIUy2ERERERERERGZG65Ganq+vr44ffo0AODqtWvQaDQ4d/5C/vaT/5xCpUp+UoVHRERERERERET0XCTt2ZadnQ0bW9v890lJScjMzNSro1BwwVQiIiIiIiIiIrPDnm2md+fOHdSuXSv/feMmTREVFZX/vmrVKoiMfCBFaERERERERERERM9N0m5jU6dOR1Z2VqHbfXx8sHr1ahNGREREREREREREJaKUrhZqbJIm286cPVvk9pUrV5koEiIiIiIiIiIiohfHCdGMbP7+RCw4kKxXVtndAntGVyp0n7RsDX74Mwn7r2UgJUsDb2cLjO/shtY17YwdrtlbsiMSczeEY8hr3hg/qEqh9VbujcKagzGIScyFs70Crzdxw6jelWFlWT6z7kWRzdgFwc27QLn24DqIf8woUC407wLZO5P0ysS8XGg/ama0GM2e0g1Cm4+AgGaAwhpIeQBx9zTgYWjh+9R+FULTgYCzL5CbAdw9BfHQAiAnzWRhm4P5h5Kx4EiKXlllVwvsGeFrsH6eRsSSv1Ow9VIGYtM0qOxmgc87OOOVarYG6xMAmQy2n3wG6y7dIXNzhzYuFjlbNyHr5/lF7mbVuRts3/kA8kr+0GakQ/X3YWTOmg4xNcUkYZsL2cI/IXj4FCjX7l0DcdlUg/sIbwyC8FpfwM0LSE+B+M8+iL//AOSpjBytGbN3g9D2E6BKM8DCGkh+AHHnVCDmZuH7NOoJoXEvwNELSHsI8fhK4Mpe08VsTti+xsX2NSph4jYILgXvhcVjGyBu+r7gDvXaQnj1LcCtIiBTAAmREA+vBs7uMX6wZio2XY05h1NxNCwHOWoRfs4KTOvkgrpelgbr7wvNwtoLGbgZmweVRkRVNwsMb+mAlgE2Jo6cikVWPudskzzZNnToEHTqGIzklBSsXv07jh07nr/NxdkZu3btwMvNW0oY4Yur5mmJFcMeX6AVRZxsKrWId5ZHw9VOjh8HVoCHgwLRKWo4WDMJ9CxX7qZj3aEY1KhYdFJyx4k4zNlwD1PfrY4G1RwQ/jAb45beAiBg3MAA0wRrRrRTBgGyJ84/n6qQj/4Z4rn9he4jZqVD+1WPJ0uMF6C5s7KHMGgRcP88xA2fA1kpugRaTnrh+/jUg/DGVxAPzgfuHAeU7hBe/xxC8BiIWyeYLHRzUc3dAiuGVMh/X9Q1+MeDydh+OQOTu7ghwM0Cx8KyMXxdHNa864XaXlamCNfs2A77EDb9BiJ93OdQ37kFRd1A2E/9HmJGOrJX/2pwH0WDRrCfPgeZM6cg99BfkHlWgP03U2A/aTrSPv3ItAdQymnH9tO/BlesBvk3yyCe3GewvtCyE4SBIyEunAgx9CLg7Q/ZJ1MAUYS4cpZpgjY31vYQhiwGIs5DXDcKyEwBXCoC2UVchxv2gND2I4i7ZgAxNwDv2hA6jYGYkw7cPl74fuUR29e42L5GJ84dClEmf1zgVQWyjxZAvPiX4R2yUiHu/wWIDQc0eUCdVyD0+xpiejIQ+o9JYjYnqTlaDPgtDk0rWWFJHze42MoRkVz079+zkblo7m+Nka0dYW8lw5Yrmfh4YwLWDvFE7QqGE3REpiZpsu3dd97GuHFjsW7detg72OO3VSsxZ+48hIQsAADI5HL4+hrufWBO5DLA3b54Tb35bBpSszRY85EvLOS6H4S+LhbGDK9MyMzR4PNFoZj8TjUs2h5ZZN0Ld9LQsJoDujT3AAD4ulvjjWbuuBxWxE1JeZah3zNT6Pg2xLj7QOi5ovdLSzRiUGWH0GwgkBYHcff0x4WpMUXv5FMXSH0InNuYX1+8uE33WVSAXCYU+xq87VIGPmzlhNbVdT3Z+rtY4MTdbPxyIhWz3vQwZphmSxHUELkH90N19BAAQBUdhbxOXaCoV7/QfSyCGkIb9SA/GaeNeoDs9Wtg++4HpgjZvKQ9dQ3uPgxizH3g2hnD9WsEAaEXIB7brXsfHw3x2G4I1QL52KMQwsuDgLRYXU+gfz3jOizUCwbObwVuHNAVpEQDXrUgvDwIIpMVeti+xsX2NYHMFL23QvuhEOMjgbDzhus/XX50LdDkDQgBQRCZbCtg2T9p8HKQY9obrvllvk5F37eN7+Cs935kayccuJ2NQ3eymWwrjcrpaqSSJtsGDRqIL74Ygy1btwIAVq36DSuWL4ONtTVmzZ4jZWglKiIhD69MvQcrCwFBftYYFewKbyfDCbSDNzIR5GeNSdvicfB6Jlzs5HgjSIn3WjtDXk67XxbHpJV30CbIGc3rOj8z2dagqgN2nIjD5bB0BFaxR2RcNo5eSkLXFvwh/UxyBYRmnSDuf8bCJVY2kM3crbuwRtyEdst8IPquaWI0N1VbAPdOQ+g2GagYBGTEQ7ywBbi0o/B9oq4Crd7XDTu9+w9g6wyhRhsgjDdwhkQk5eGV2fdhpRAQVNEKo9q7wLuQmziVRoSVQv9aa60QcO5+rilCNUvqi+dh3bs/5JUqQxNxD/IatWDRsAkyvp9S6D55F8/D7rPPYdmqDVRHD0NwdYPVax2hOnrYdIGbI4UCQqvOEHcWMadt6EWgVWegal3gzlXAwxdCw1YQjxZxTSnvqrUE7p6C0HMK4NcASI+HeG4zcHF74fvILQDNU8Ny1bmAd21AJge0GuPGbE7YvsbF9jUtuQJo1BHikd+Lv0+1JoB7JYhhRU+vUF4dup2NFpWt8dmWBJyJzIWnUo5+DZXoE6Qs9mdoRRFZKhFONhwNRqWHpMk2Pz8/vUUSzp49h959+mHd2j+gUCiwdNlyCaMrGfX9rDG9tycqu1sgLl2NBX8lY9DPUdg+0g9Kq4IXg8ikPPyTrEaXICUWv+WF+4l5+G5bPNQaYHgHFwmOoPTb9U8crkdkYOO3DYpVv0tzDyRn5GHglEsQAag1Ivq1q4APu/oZN9AyQGjQFrC1h3i88B9t4sMI4NfvID64BdjYQ/b6YMjG/grtN72A5DgTRmsmnLyBBt2BM+sgnlyle7Lc/jOImjzgaiFzp0RdgbhjEoSukwCFJQS5AuLtYxD3l52HFCWlvq8Vpnd3R2VXC8RlqLHgcAoG/RKN7R/7GrwGt6xig19PpqJxJWv4OStw8l4O9t/IgkZkn6DCZC1dBMFOCeddfwEaDSCXI/PH2cjdua3QfdQXziHty5GwnzMfgqUVBAsL5B78CxlTvjZh5OZHaNIesLOHeGhroXXEY7sBB2fIJv8GCICgsID2z3UQNy81XaDmxtkbaNQDOLUW4vFVgHctCK+N1F2HrxQyx9LdU0BQFyD0qG5+Ta+aQFAXCHILiLZOQAZ7d+dj+xoX29e06rUBbJTA6Z1F17O2g/DtbkBhCWg1EDfOBG6dNkmI5iYyRY21FzLw1kv2eP9lB1x9qMK0v1JgKRfQvV7x5ixfcSodWSoRwTU5x26pxNVITS8pKQne3t548OBBflloaCh69+mHDevXwrOC5zM/w9LSEpaWpberaKsajy8QNbysUL+iNdrNiMDeyxno1cShQH2tCLjayTGppwfkMgF1fa0Rm6bGiqMpTLYZEJOYi2mr72LFl/WKvbjBqRspWLIjEl8PrYrAKva4H5uNaavvYuHW+/i4OxNuRRFadgeuHgdS4wuvdPcyxLuX899qwy5BNnkThFa9IG5baPwgzY0gAx7ehHh0ie593G3ArTKEoO4QC0u2ufpDaP8pxBO/APdOQ1S6QmjzMYTXv4C4p+CiFeVZqycWNqgBS9T3sUK7HyKx91omejW0L1B/QkdXTNyegE4hDyAAqOhigZ4NlNh0IcOEUZsXq+A3YNW5G9K/+BTqO7ehqFkbynEToY2LRe62zQb3kVepCuW4r5G1aD5Ux45C5u4B5efjoPxmCjImjjXxEZgPoX1P4MIxILmIa3CdJhB6vAdx2RSIty8DFfwge3ss0OsDiBsXmy5YcyLIgJibEA8/ap/YW4B7AISGPSAWkqwQj/0CQekK4a2lgAAgMxm4vAdoPggQtaaL3RywfY2L7WtSQtOuwM2TQFpC0RVzsyDOHghY2gLVm0DoPhJiYlThQ0/LMVEE6nhZYmRrJwBA7QqWuB2fh7UXMoqVbNt5LRMLj6ch5E03uNrJn1mfyFQkTbadPn0GnTp1xOnT+ln+27dvo0/f/ti4Yd0zP2PE8E8wevQoY4VY4hxs5PB3t0BEouEVwdzt5bCQC3pDRqt4WCI+XQOVWoSlgkNJn3QtPB2JaXno+fXjP1waLXA2NBW//xWNyytaFhh++9OmCHRt7oHebXQTpteoaIfsXC2+/uU2PuxaETIO1zXMxQuo3RTahZ8/334aNXA/FPCoaJy4zF1GIpAQrlckJkbohoUWQmg2CIi6ApxeoyuID4OoyoFs0EKIR5cCmXwiXRgHGzn8XS0QkZRncLuLnRwL+nsiN0+LlGwtPOzlmPNXMio6S76eUKll9/k4ZC37Gbl7dE/5NbdDIff2ge17HxeabLN972OoL5xD9gpdkllz6ybSs7PgvHoDsn6cA21CEcmk8srNC6jXDNrZnxVZTdZvOMSjOyAe2KQruH8bopUNhA+/gbhpie5XDenLSAQS7ukViQnhEGq2KXwftQrizmnA7pmAnYvuMxp0A3IzC8zvVO6xfY2L7Ws6zhWA6i9B/OXLZ9cVRSDhUYeS6FuApz+EDm9BZLKtADelHFVc9adYCnC1wL7Q7Gfuu+t6FibuSca87q5o7m9trBDpRXHONtMLWbAAgfUCDW67desWevfphzc6dSzyM+aHLMDiJfpDI26F3iixGEtaZq4WkYl56NqgYI8KAGhYyQY7L6ZDqxXzkz7h8Xlwt5cz0WZAs9pO2D6toV7Z+KW3EOBli2GdfQ3Oc5et0hZIqP270Bt/ghROaNkVSEsCLv/9nDvKAJ+qwBVOuGtQ1BXARb9HpeBSEUh7WPg+FtYF51MRH73nZaJImblaRCap0TWw6CefVhYyeFrIkKcRse96JoLrFG8YQ3kk2NgAWv2eEKJWo7+C5tP7WFtD1Dx1Dv/7vpzekD2L0K6H7hp87mjRFS2tC/ZM0T7Rtky2FRR52fB1OLWI6/C/tBogXZccFmp3eLSSI9tYD9vXuNi+JiO81EW3cNj1/3BPK8h0Q0qpgIa+Vgh/6iFoeFIevB2LvlfbdT0TE3YnY05XV7SpamPMEIn+E0kHz964cRPr1q8vdHtoaCjmzvuhyM9QqVTIyMjQe5UmM3cl4PTdbDxIysP5iGyM+C0GMhnQub4u2TZmXSzm7H3cDbl/MwekZmswdUcC7sWrcPhmJhYfTsbAlx2lOoRSTWmjQHVfO72XjZUcTkpdOQCMWRyKOesfP/FrG+SCNQdisOufODyIz8Hxq8n4aVME2ga5cBGKwggChBbdIJ7cWSDJI7wzGULPEY/fd34fqN0McPMB/GpCGDYVcPWC+PcWU0dtFsQz6wDvOkCzwYCTD1DrVaB+V4jnH/cIElp9AOGNrx7vc+c4UL01ENQdcPQGfOpB6PAZxOjrnGflKTP/TMTp8Gw8SM7D+fs5GLEuVncNrqebdHfM5njM+Sspv/6lBznYdz0TkUl5OBuRg/dWP4RWBIa14DW4MKpDB2D7wSewbNUWMm8fWLZ/DbZD34Xqrz/z69iN/AL20x/PKZh7+ACsOrwO674DIfOtCEWDRlCO/wZ5ly9CG8+5HQsQBAhtu0M8vK3gNXjENAgDPst/L547AuG1vhBadAQ8fIDAlyH0GwHx7JECSVHSEU+v063y3HwI4OwD1HkVaNAN4tlN+XWENh9C6DLx8U4uFYG6rwPOvro5srpPAtwDIB7+2fQHUMqxfY2L7WsiggC81AU4s6vgdXjAtxDe+ORxQfu3gOovAa4+gIc/0GYg0LgTxLOFzKFXzg1tosSlaBUWn0hDRHIedl7LxIZLmRjQ8PECCXMPp2DMjsf3uDuvZWLsziR82c4Rgd6WiM/QID5Dg/Qc/p0rlWSC8V+lUKkYFxMUFIRGjRrCw90dABAXH49z587j4sWL0gZWAmJT1Ri95iFSsjRwsZOjkb8N1n1cES5KXaY+OiVP7yG+l5MFlr3jjRk7E9DtxzR4OsgxuIUj3mvtXMg30LNEJ+bqtfFH3fwgCMCPGyMQm6yCi70F2jZwwWe9/CWLsdSr1RSCqxe0x7YW2CS4VoD4ZC8KO3vIhn4NOLgCWWlAxA1op78FxHA1UoMe3oS4ZTyE1h8ALd4CUmMgHvwJuL7/cR2lK+DwxByWV/dAtLSF0OhNoN1wICcDuH8O4uFFJg+/tItN02D0xnikZGvgYitHIz9rrBvmDZdHc3pEp6r1rg+5ahE/HkxGZLIatpYCWlezxcwe7nCw4RwghcmY+i1s/zcKyq8nQ+biCm1cLLLXr0HWop/y68jcPCDz8s5/n7t1EwQ7JWwGDoHyywnQpqch79RJZM7hnIMGBb4Mwd0b2oMFH1oIbl4Qn0iiiRsXA6IIod8ICC4eQFoyxHOHIf7xU4F96ZGYGxA3joXQ9iPglbeBlBiI+38Eru17XEfpCjg+cR0WZBCa9gdc/XTTJUSch7jyg+L1Jipv2L7GxfY1jeovQXDxgvaUgVVenSvo9RoWLK2BXmMARw8gLxeIi4C4+mvg4v6C+xLqeVnhp55umHckFQuPp8LXSYGx7Z3Q5YlRBfEZGsSkPU5yrr+YCbUWmLwvBZP3peSXd69ri+mdXU0ZPlGhBC9vX8n6Cru6umL5siVo3LgxoqKiEB+v6+Hl7u4GHx8fnDlzFsPeex+Jic/XUyM6KhLiljeMETI9IvTYBfHUMKnDKLOEpsugGVa81VXpv5EvuwDtzJZSh1FmycYcg7gmWOowyjSh/17E164sdRhllvv1e9D0qit1GGWWfONVaKc2lzqMMk024QTb2IjYvsYnm3AC2pFNpA6jzJLNOwPtLx2kDqNM8/0qVOoQSoWoLUVPDVYSfHqUvp6jkvZsmz59KmQyGVq3aYuwMP1eL1WqBGDunNmYNm0KPvjgI4kiJCIiIiIiIiIiKj5Jk21tWrdGz569CiTaACAs7C6+mvgNNm0sfE43IiIiIiIiIiIqpcrp4leSLpCgUqmgtDe8KicAKJV2UKlUJoyIiIiIiIiIiIjov5M02bZ9+w78+MNcBAcHQ6l8vNqIUqlEcHAw5s2dg61bt0kYIRERERERERER/SeCYPxXKSTpMNJvv5sEQSbDooUhUCgUUKnyAACWlhZQq9VYs3YdJk2eImWIRERERERERERExSZpsk2lUmHcuPGYOnUaAgPrwcPdAwAQFx+Hy5evICMjQ8rwiIiIiIiIiIjovyqlPc+MTdJk278yMjJw4sRJqcMgIiIiIiIiIiJ6IZLO2QYA1tbWeKlJE1SrVq3ANisrK/Tq9aYEURERERERERER0QuRyYz/KoUkjSogoDKOHD6IzZs34uCB/di0cQM8PT3zt9vb22Pe3DkSRkhERERERERERFR8kibbJowfj5uhoQgMDMIrrdogIzMDW7dsgo+3t5RhERERERERERHRiyqnq5FKmmxr3LgRpk+fiaTkZISHh2Po0Ldx+MhRbNmyCX5+flKGRkRERERERERE9NwkTbZZW1tDrVbrlY0bNx779/+FzZs2ICAgQKLIiIiIiIiIiIjohZTTnm2SrkZ6504Y6tcPxJ07d/TKJ3w1EQDw6y/LpQiLiIiIiIiIiIjoP5G0Z9uevXvRvVs3g9smfDURW7dth1BKs5RERERERERERFQEQWb8VykkaVQhIQsweMjQQrePHz8BvhUrmTAiIiIiIiIiIiKi/07SYaRERERERERERFRGycrnaMXS2d+OiIiIiIiIiIjIDLFnGxERERERERERlbxyOg8/e7YRERERERERERGVEPZsIyIiIiIiIiKikldKVws1tvJ51EREREREREREREbAnm1ERERERERERFTyOGcbERERERERERERvQj2bCMiIiIiIiIiopLHnm1ERERERERERET0ItizjYiIiIiIiIiISp6sfPbxKp9HTUREREREREREZASCl7evKHUQJS06KlLqEIiIiIiIiIionPL2qSh1CKVC1KGBRv8On7a/G/07nleZHUaqHd1E6hDKNNmcMxCPDJI6jDJLaL0a2hUdpA6jTJO98xe0v74qdRhlluyt/RCPvyV1GGWa0OJXiNs6Sx1GmSV024kztlWlDqPMapJ1B+LZD6UOo0wTGv8M7TcvSx1GmSX77iTEQwOkDqNME9r+Ae2YplKHUWbJZp7ivTCREZXZZBsREREREREREUmIq5ESERERERERERHRi2DPNiIiIiIiIiIiKnlC+ezjVT6PmoiIiIiIiIiIyAjYs42IiIiIiIiIiIyAc7YRERERERERERHRC2CyjYiIiIiIiIiISp4gGP/1AoZ/8jGioyLx3XfflNAB63AYKRERERERERERlbxSvEBC/fr1MWjQQFy7fr3EP7v0HjUREREREREREVEJs7W1RUjIT/jiyzFITUkt8c9nso2IiIiIiIiIiIxAMMHr+U2bNgUHDhzE338f+4/HVTQOIyUiIiIiIiIiIrNkaWkJS0tLvTKVSgWVSmWwfreuXVGvbj10eqOz0WJizzYiIiIiIiIiIip5JlggYcTwT3Ar9Ibea8TwTwyG4+3thUmTvsXwESOQm5trtMNmzzYiIiIiIiIiIjJL80MWYPGSpXplhfVqC6wXCHd3d/y5d09+mUKhQLNmTfH2W2/Bv3IVaLXaF46JyTYiIiIiIiIiIjIC4w+oLGrI6NP+PnYMbdt10CubN3cO7oTdwYIFi0ok0QaU0mTbyy83w4ULF5GTkyN1KEREREREREREVAZkZmYiNDRUrywrKwvJyckFyl9EqZyzbc0fv8PX11fqMIiIiIiIiIiI6L8ywZxtpZGkPdv+3LvbYLlCocCypYvzJ6t7PbiTKcMiIiIiIiIiIqJyoFfvPiX+mZIm22rWrIm//z6G8+fP55cJgoDatWvjxImTSEhIkDA6IiIiIiIiIiL6z0ppzzNjkzTZ1qtXH/zwwzxcvHgRc+bOgyiKAID//W8Efvl1JW7fvi1leERERERERERERM9F0jnbzpw9i+COnRAQEIDt27eiUqVKUoZDREREREREREQlRjDBq/SRfIGE9PR0fPzJcKz+7Xds3bIJAwcOyO/hRkREREREREREZE4kHUb6pHXr1+P0mdMImT8fCkWpCYuIiIiIiIiIiP4LQfI+XpIoVVmte/fC0blLVyiVSqSnp0sdDhERERERERER0XMpVck2ABBFsUwl2oQJ2yC4eBcoF49vgLj5+4I7NO0OoXEnoEIV3fsHNyHuXgBEXjdypOZp/vYoLNgZrVdW2dMaeybXK3SfvWeT8OO2KEQl5qKShzU+f9MXres5GTlS8xWbrsacw6k4ejcHOWoRfk4KTOvkgrpelgbr7wvNwtoLGbgZlweVRkRVNwsMb+GAlgE2Jo7cfMSmqzHnUAqOhj1qY2cFpr3hgrpeVgbrx2Vo8P2BZFyNUeF+shqDGttj/KvOJo7aPC3ZFYW5m+5jSIcKGD+gssE6eWotluyOwtbj8YhNVqFyBRt83tsPr9RjGxsyf18iFvyVpFdW2d0Ce77wL3SftGwNftibiP1XM5CSpYW3swLju7ijdS07I0db+ilbNIHXyPdg26AOLL08cbvvh0jZ8ZdeHe+Jn8L97b5QODog/eQ5RHz6NXLDIor8XI8PBqHCZ8Ng4emOrCs3cH/0JGSevWzMQzFLS7ZHYO66uxgS7Ivxg6sZrDN4ygWcuZFSoLx1kAsWf1HfyBGaH+GzzRCcvQqUi6c3Qdw12/BOtdtBaPc+4FQBSHoAcf8C4PZJI0dqvubviMaCXTF6ZZU9rbDnu7oG69+OzsZPO6JxLSIL0UkqjOvti6HtPU0RqlkSxmwx/HvuxEaI22YV3MGzMoRXPwB8akBw8YZ2xzzg2FoTRGq+eC9cxnE1UmkMHToEnToGIzklBatX/45jx47nb3NxdsauXTvwcvOWEkb4YsQfhkKUyR8XVKgC2YcLIF76y2B9oWojiBf2AeGXAXUuhLZDIXwQAvH7vkBavImiNi/VvG2wYmSN/PeKInqpng9Lx+hlYRjVwxdtAp2w83Qihi+8g01f1UZ1H1sTRGteUnO0GLA6Dk39rLCktxtcbOWISFbDwbrwRj4bmYvmla0xsrUj7K1k2HIlEx9vSsDaIZ6o7Wk4QVeepWZrMeC3WDT1s8aSvu66Nk7KK7KN89QiXGxl+LCFA1adKTsPJ4ztyr0MrDsSixq+Rf9b/3FLJLafjMfkt6ogoIINjl1LwfCQUKwZXw+1KzEZZEg1T0useN8n/71CVvhNlUot4p2lUXBVyvHjYC94OCgQnZwHBxt5ofuUJ3I7G2RduYH4VRtQbe2iAtsrjHofnh8Nxb33v0RueCR8vh6J6tt/wdWGwRBzVQY/0+XNTqg4Yzwi/jcRGWcuwXP4W6i+7RdcCXoV6vgkg/uUR1fC0rDuYDRq+BX973z+Z3WRp9bmv0/JUKP7uDN4/SUPY4dolsQl70CUPfE3zaMKZEN/gnjtgOEdKtaD0Os7iAd+BkKPQQh8HUK/mRAXvwXE3TVJzOaomrc1VnxaPf+9Ql74dThHpUVFNysEN3TGjA2RpgjPrIkhb0N8chhchSqQvRcC8Uoh57CFNZAUpdve+TOTxGjOeC9MZZWkybZ333kb48aNxbp162HvYI/fVq3EnLnzEBKyAAAgk8vh6+srZYgvLjNF763QbijEhEgg7LzB6uLvE/Xfr58CIbAtUK0JcG63saI0a3IZ4O5oUay6vx2IRcs6jnj3dd0T1k+7+eLE9TT8figO3w3yN2KU5mnZP2nwcpBj2huu+WW+TkVfNsZ30H+qNLK1Ew7czsahO9lMthmw7J80eNkrMK1z8dvYx0mB8a+6AAA2X840anxlRWaOBp8vuY3JQwOwaGdUkXW3nYjHh5190TpQdy7396iAE9dT8cuf0Zj1vuGeLuWdXAa42xfvlmLzmVSkZmmx5pOKsHj0Y9DXpXjX8PIgdd9RpO47Wuh2z+FvIWbmAqTs1D20uzfscwSFn4Jzl1eRtHGX4X3+9w7if1mHhN82AQAiRkyEU3AbuA3pjYdzFpf8QZihzBw1Pl94HZOH1cCirUX3EnRS6p+vu0/GwdpShuCmTLYZlJWi91ZoOQRi4gMg/ILB6kKzPsCdU8Dx3wEA4sElEAKaQHipF8SdBkaFEABALhOKfT9cz98O9fx1SeU5W4r+m0go+Huu1qPfc3cN/57DgxsQH9zQ/Xfwx8aNrQzgvXB5wJ5tJjdo0EB88cUYbNm6FQCwatVvWLF8GWysrTFr9hwpQzMOuQJo1BHikd+Lv4+ltW6/rDTjxWXmIuJy8coXF2FlIUNQgB1G9fCFt6vhLscXwzLx1qv63eRb1HHEgYvJpgjV7By6k40Wla3x2dYEnInMhadSjn4NlOgTpCz2Z2hFEVkqEU5FPJ0qzw7dzkKLABt8tiUeZ+7nwtNejn4N7Z+rjenZJq2+hzaBzmhex+mZyTaVWoSVhf5NgbWFDOdu88lpYSIS8vDK5LuwshAQ5GeDUR1d4e1s+EffweuZCKpkjUlb4nDweiZc7OR4o4E93mvjDHkRPeIIsPKvCMsKHkg9dCK/TJOWgYwzl6Bs2sBgsk2wsIBdg7qImf3z40JRRNrBE1A2bWCKsM3CpF9vo02QK5rXdXlmsu1pGw/HoNPLHrC1Zu/MZ5IrgMDXIZ4sYkidb92C28NOATVbGTc2MxcRl4tXxlzWXYcrKzGqhw+8XfiQs8TJFUCDYIh//yF1JGUG74WprJL016+fnx/OnD2b//7s2XPo3acfBg4cgHFjx0gYmZHUbQNYK4EzO4u9i/DGCCA1Abh92nhxmbH6le0w/a3KWPZpdXwzsBIeJORi0KybyMjRGKyfkJYHVwf9H4BuDhZISM0zRbhmJzJFjbUXMlDJWYGlfdzRr4ES0w6kYOuV4j9BWnE6HVl5IoJrcpiuIZEpaqw9n45KzhZY2tcD/RrYY9r+ZGy9nCF1aGXGrlMJuB6RgVG9/IpVv2VdR/y6LwbhsdnQakUcv5aC/eeTEJ9qeIheeVffzxrT+3pi2TAffNPDAw+S8zBo0QNk5GgN1o9MysOfVzKgFYHF73jjo/Yu+OVoMhYd4HDGZ7HwdAMAqOMS9MrVcQmw8HQ3uI/CzRmCQoG82ES98ry4hPzPK+92nYzF9XvpGNU34Ln3vRyWhtsPMtG7bcH5nMiAmq1198IXDffCBAAoXYEM/euBmJGkKyeD6le2w/Sh/lg2oiq+6e+HB4m5GDQ7tND7YXoBdR6dw2eLOIfpufBeuBwQZMZ/lUKS9mxLSkqCt7c3Hjx4kF8WGhqK3n36YcP6tfCs8OyJOi0tLWFpaR5PbYSmXYGbJ4G0hGdXBoB2Q4EGr0Jc+CGg5o88Q1o9sbBBDV/dzUa7sZex92wSerU0/MODik8UgToVLDGytRMAoLanJW4n5GHtxQx0r/fsuat2Xs/EwuNpCOnpBlc7PvE3RBSBOl6WGNnGCQBQu4IlbsersPZCBroH8onei4pJysW0NeFYMboWrCyK94d4Qv/KmLgyDJ3GX4QgABXdrdGzhTs2HYszcrTmqVXNx9eCGl5WqO9njXbTw7H3cjp6veRYoL5WBFyVckx60wNymYC6vtaITVNjxZFkDH+VP6bJtGISczBt1W2sGBcEK8vn/zu18XAMqle0Q2AVByNEV/YIDTsDd/4B0ot5L0zF0qru42tt/v3w+CvYey4ZvVowqV6ShCZdgdCTPIdLEO+FqaySNNl2+vQZdOrUEadP6/faun37Nvr07Y+NG9Y98zNGDP8Eo0ePMlaIJce5AlDtJYi/flm8+m0G6eZ3+/kTIOaOcWMrQxxsFfD3tEJEXI7B7W4OFkhM0+/FlpCWB7diznFR3rgp5ajipt82Aa4W2Bea/cx9d13PwsQ9yZjX3RXN/a2NFaLZM9jGbsVrY3q2a+GZSEzLQ8/vHq+6qNECZ2+l4feDD3F5SbMCQxddHCywYERN5OZpkZKRBw8nS8zZeB8V3XkeF4eDjRz+bhaISDTcY9jdXgELOfTavYqHJeLTNVCpRVgqOJS0MHmxuh93Cg835D18vGiSwsMN2ZcNr1quTkiGqFbDwlM/kWnh4Zb/eeXZtXvpumvEhMcjLTRaEWdvpuD3fVG4vLJ1ocObs3I02H0yFv/rZXhlY3qKYwUgoAnEteOKrpeRCChd9IoEpYuunIpFdz9sjYi4XKlDKVucKgBVm0D8bazUkZQpvBcu+wSuRmp6IQsWILBeoMFtt27dQu8+/fBGp45Ffsb8kAVYvGSp/r6hN0osxpIiNOkCZCQDN44/u3LbwRDavwNxyQjgQek7ltIsM0eDyPhcdG1muLdjUBU7nLyZhqEdKuSXnbieiqAAPjUxpKGPFcKT9H8whyflwduh6Kf/u65nYsKeZMzp6oo2VWyMGaLZa+hrhfBEtV5ZeJIa3o7sCVgSmtVyxPZJ9fXKxq+4gwAvGwzr6FPkHGFWFjJ4OlshT63FvnOJCG7C3gHFkZmrRWRiHro2NHyL0dDfGjsvpkOrFSF71P7hCSq428uZaHuG3PBIqB7GwaFNc2Rf1t0fyOyVUDapj/ilhueDFfPykHnhKhzaNEfKjkcroQsCHNo2R+zPv5kq9FKrWR1nbJ/RRK9s/JKbCPCyxbAufkVeI/aeioNKLaJLiwqF1qHHhAZvAJnJwO0TRVd8cBVCQGOI/zzx0D3gJSDyqnEDLEPy74eb8mFySRIad9b9nrtZjN9zVGy8F6ayStJk240bN3Hjxs1Ct4eGhiI0NLTIz1CpVFCpSvkQS0EAmnTRje3X6s+dIPT/FkiNh7hbtwIr2g6BEPwBxNVfAckxgP2jJ9G5WYCK2f2nzdxwH20DneDtaoW4VBVCtkdDJhPQ+SXdE9ExK+7Cw8kCo3tWBAAMbu+JIbNCsWLfQ7Sp54hdZ5JwLSILkwb7S3gUpdfQJkoMWB2HxSfTEFzTBldiVNhwKRPfvf54xdG5R1IQm67BzEcrCO28nolxu5Iwrr0TAr0sEZ+hO+etLQTYW5XO8fRSGtrEHgN+i8XiE6kIrmmra+OLGfgu+PFT/bmHUxCbrsbMLo+TPTdidde9LJWI5CwNbsSqYCEXUNWNN9ZPUtrIUd1Xf75AGys5nOwU+eVjlt6Gh7MlRveqBAC4FJaO2BQValW0Q2yKCiHbIqHVAsM6ck4mQ2bujEfbWnbwdrZAXJoaIfsTddfhRxMbj1n7EB6OCozuqDt/+7/siN9PpGLq9ngMauGEiIQ8LD6YjMEtnCQ8itJDZmcLqyqV8t9bVaoIm8Ba0CSlQPUgBrEhv8J7zMfIDQtHbngkfL4eCVVMLJJ37M/fp8auVUjesR9xj5JpsT+tQOWls5B5/goyz16G5/C3ILO1QcJvG01+fKWN0kaB6hX1H7jZWMnhZG+RXz5m0XV4OFthdL8qevU2HYlBh0ZucLbndfeZBAFo8AZwcXfBe+EeXwPp8RD/WgQAEP9ZD+HthUDz/sCtExDqdgC8a0LcMUOKyM3CzI0P0DbQEd4ulohLzUPIjkf3w01092tjfrkHDydLjO7hAwBQqbUIi9GNAsnTiIhNycONyCzYWslQyYO9uA0SBKBxZ+Ccgd9zfb4B0uIh7l2oK5ArAI9HPV4VFhAc3CF6VdP9lkt8ANLHe+HyoHw+TJU02favoKAgNGrUEB7uujm24uLjce7ceVy8eFHawEpKtZcguHhBe2p7wW1OFXQD1R8Rmr8JQWEJ4S39pc3FP5dA3Lf06b3LvdjkPIxedhcpmWq4KBVoVNUe68bWgsujG9/oJBWe7LXasIo9Zg8LwA/bojBv6wP4e1gj5OOqqO7DyfsNqedlhZ96uGHekVQsPJ4KX0cFxrZzQpc6j+dois/QICbt8U3H+ouZUGuByftTMHl/Sn5597q2mP4G52N6Wj1vK/zU0x3zjqRg4bFU+DopMLaDM7rULbyNAaDniof5/33toQo7r2fB21GOAx/7mCz2siI6SQXhid4ruWotftwcicj4HNhay9G6nhNmDqsGB9tS8Sez1IlNVWP0Hw+RkqWFi1KORv7WWDfcFy5KXXtFp6j1rsNeThZYNswbM3YkoNu8+/B0UGBwSye818a5kG8oX+wa1kPNPx/3UvP7fgIAIOG3Tbj3wRg8nLsEMjsb+IdMgdzRAeknzuJWt3cg5j5+8GgV4AeF6+P2TNq0Gwp3V/hM/AwWnu7Iunwdt7q/A3Uch+UVR3RiboEhMHejs3AuNBXLx9YvZC/SE9AEgpMXtBcMLBLm6AmITyyoEnkF4sZvILR/H2j/IZAYCXHtGCDuruniNTOxKSqMXn7vifthJdaNqfnU/fDjczguJQ89pj4ePbNifyxW7I9Fk2pK/Da6hsnjNwtVX4Lg7AXt2R0Ftzk9dQ47uEP22erH71sPgtB6EMSwcxCXfGz8WM0M74WprBK8vH3FZ1czDldXVyxftgSNGzdGVFQU4uN1c4e4u7vBx8cHZ86cxbD33kdi4vPdDEZHRUI7usmzK9J/JptzBuKRQVKHUWYJrVdDu6KD1GGUabJ3/oL211elDqPMkr21H+Lxt6QOo0wTWvwKcVtnqcMos4RuO3HGtqrUYZRZTbLuQDz7odRhlGlC45+h/eZlqcMos2TfnYR4aIDUYZRpQts/oB3TVOowyizZzFO8FzYy3wmFj+IrT6LPjDb6d3g3mWP073hekj6mnz59KmQyGVq3aYuwMP2nVVWqBGDunNmYNm0KPvjgI4kiJCIiIiIiIiIiKj5Jk21tWrdGz569CiTaACAs7C6+mvgNNm1cL0FkRERERERERET0YsrnnG2SzlauUqmgtLcvdLtSaVf6Fz8gIiIiIiIiIiJ6RNJk2/btO/DjD3MRHBwMpfLxSlBKpRLBwcGYN3cOtm7dJmGERERERERERET0nwiC8V+lkKTDSL/9bhIEmQyLFoZAoVBApcoDAFhaWkCtVmPN2nWYNHmKlCESEREREREREREVm6TJNpVKhXHjxmPq1GkIDKwHD3cPAEBcfBwuX76CjIwMKcMjIiIiIiIiIqL/SpB0QKVkJE22/SsjIwMnTpyUOgwiIiIiIiIiIqIXInmK0draGi81aYJq1aoV2GZlZYVevd6UICoiIiIiIiIiInoxgglepY+kybaAgMo4cvggNm/eiIMH9mPTxg3w9PTM325vb495c+dIGCEREREREREREVHxSZpsmzB+PG6GhiIwMAivtGqDjMwMbN2yCT7e3lKGRUREREREREREL6qcrkYqabKtceNGmD59JpKSkxEeHo6hQ9/G4SNHsWXLJvj5+UkZGhERERERERER0XOTNNlmbW0NtVqtVzZu3Hjs3/8XNm/agICAAIkiIyIiIiIiIiKiFyLIjP8qhSRdjfTOnTDUrx+IO3fu6JVP+GoiAODXX5ZLERYREREREREREdF/ImkKcM/evejerZvBbRO+moit27ZDKKXjb4mIiIiIiIiIqChcjdTkQkIWYPCQoYVuHz9+AnwrVjJhRERERERERERERP+dpMNIiYiIiIiIiIiojCqnoxVL50xyREREREREREREZog924iIiIiIiIiIyAjKZx+v8nnURERERERERERERsCebUREREREREREVPI4ZxsRERERERERERG9CPZsIyIiIiIiIiKikseebURERERERERERPQi2LONiIiIiIiIiIiMoHz28SqfR01ERERERERERGQE7NlGREREREREREQlj3O2ERERERERERER0YsQvLx9RamDKGnRUZFSh0BERERERERE5ZS3T0WpQygVoq9MNfp3eNebYPTveF5ldhipNqSN1CGUabLhhyGu6yh1GGWW0HcPxPVsX2MS+uyBeHSI1GGUWUKrVRAPDZA6jDJNaPsHNAMCpQ6jzJL/cRk3Xf2lDqPMqpkYDs2wBlKHUabJl11AXA1/qcMoszxCw5H7Wi2pwyjTrPbdQFzNylKHUWZ53LwHTdc6UodBVGaV2WQbERERERERERFJSCifs5eVz6MmIiIiIiIiIiIyAvZsIyIiIiIiIiKiksfVSImIiIiIiIiIiOhFsGcbEREREREREREZAXu2ERERERERERER0QtgzzYiIiIiIiIiIip5XI2UiIiIiIiIiIiIXgR7thERERERERERkRGUzznbmGwjIiIiIiIiIqKSJ5TPZBuHkRIREREREREREZUQ9mwjIiIiIiIiIiIjKJ99vMrnURMRERERERERERkBe7YREREREREREVHJ45xtRERERERERERE9CIk7dnm6uqKxMTE/Pd16tTGe+8NQ2V/f8TGxeGXX37FyZP/SBghERERERERERH9J0L57OMl6VFfvHAOrq6uAIDGjRth184d8PXxxZkzZ2GvtMfaNX+gadOmUoZIRERERERERERUbJL2bBOeGLs7etQobNq0GaM//yK/7LvvvsGoUZ+hb9/+UoRHRERERERERET/Gedsk1SNGjXw+x9/6JX9/vsa1K5VS6KIiIiIiIiIiIiIno/kq5EqlUrk5uYiNzcHqlyV3rbc3FzY2NhIFBkREREREREREf1n5XQ1UsmTbcf+PgJAN6Q0sH4grl67lr+tRvXqeBgbK1VoREREREREREREz0XSZFuv3n313sfF6SfWKvpVxO+rfzdlSEREREREREREVCJKzexlJiVpsu2ff/4pcvvy5StMFAkREREREREREdGLk3wYaXkQm6HBnBNpOBqRi5w8EX5OCkxr74i6npYG659+kIuhW5IKlB99xwPudnJjh2tW5h9MwoLDKXplld0ssOd/FQvdZ+WJVKw5k4aYVDWcbWV4vY4dRnVwgZVF+cy4F2X+wSQsOJSiV1bZzQJ7Pn1G+55+qn1fZfsWZv72B1iwI0qvrHIFa+yZXL/QffaeTcSP2x4gKiEXlTyt8fmbfmhdz8nIkZqn+TuisWBXjF5ZZU8r7PmursH6t6Oz8dOOaFyLyEJ0kgrjevtiaHtPU4RqtmQ/7oHg7lOgXLtvLcRfpxWs/9VyCLWbFCgXLxyFdtZwo8Ro7mRKO7iNGw37N16D3M0NOVeuIW78d8i5cNlgfdsWzeC3fW2B8tu1mkATF2/scM2ObMYuCG7eBcq1B9dB/GOG4Z1slBB6DIfQsB1g5wgkxkC7bjZw5ZiRozVDMhnsRnwG6649IHNzhzYuFtlbNiJr4fwid7MZMBg2g4ZC7uMLTUwUshYtQM62zSYK2ozIZJAPHg55+y6AsxuQGAfN/q3Q/L6o8H1c3KF4/0sI1etC8PaDZutqaH6ebrqYzY1MBrvhn8G6a/cnzuFNyFpU9Dls1bkbbId9AEUlf2jT06H6+zAyZk2HmJJikrDNhkwGof8nENp0BpzcgKQ4iAe3QVz3c9H71W0C2btfAn5VgYSHENcthnhwqykipufFOdukMXToEHTqGIzklBSsXv07jh07nr/NxdkZu3btwMvNW0oY4YtJzdFiwMZENPW1xJIuLnCxkSEiVQMH62cnHnYPcofS8vGJ6WrLZIUh1TwssGKoV/57hazwf8w7Lmdgzl9JmNrdHQ0qWiE8MQ/jtsQDEDCuo6sJojU/1TwssOKtYrbvpQzM2f+off0ete/meEBg+xalmrcNVoyqmf++qDY+fycdo5fewaieFdEm0Bk7TyVg+IJb2DSxLqr72JoiXLNTzdsaKz6tnv9eIS+8fXNUWlR0s0JwQ2fM2BBpivDMnvarAYDsib9PFatCPn4pxFP7DNefNxJQWDwuUDpBNmNDofUJqPDDTFjVqo7oj0ZB/TAWjr17oOLm1bjX/FWoYwqf2zbspbbQpmfkv9fEJ5giXLOjnTJI/xz2qQr56J8hnttveAe5ArJRPwPpSdD+/AWQHAe4egNZ6aYJ2MzYvvchbPoPQtqY0VDfuQ2LuvVgP30WxPR0ZP/2q8F9bPoPgt3oL5H+1TjkXbkEi8Ag2E+ZDm1aKlSHDpj2AEo5eZ9hkHfuB/WscdBG3Iasel0oRk8DMtOh2bra8E4WFhBTk6D942fIew4xbcBmSHcOD0Ta2M+hvnMLFnUDYT/te4gZhZ/DFg0awWHmHGTMmILcg39B7lkB9t9Ogf2k6Uj730emPYBSTnjzXQgd+0L7w3jg/h2gal3I/jcFyEyHuLOQKaU8fSD7eiHEveshzhkDoX4zCCO+g5gcD1w4bngfIhOTNNn27jtvY9y4sVi3bj3sHezx26qVmDN3HkJCFgAAZHI5fH19pQzxhS07lwEvpQzTOjjll/k6Fq/ZXW1lcLBigu1Z5DIB7vbFa9ML93PQsKIVugQqAQC+zhZ4o54Slx/kGDNEs/Zc7RuZg4Z+VuhSn+37POQyAe6Ohnu6Pu23Aw/Rso4T3n1d1wvj0+4VceJ6Kn4/GIvvBlc2ZphmS9e+Fs+uCKCevx3q+dsBAOZsiXpGbQIApCfrvRW6vgvx4X3gxlnD9TPT9Ou/3BHIzYF4qpDERjknWFvBvkswHgx6D9knTwMAEr7/AcrX28Pp7UFImDan0H018YnQpqUVup0eyXjqHO74NsS4+0DoOYPVhZbdATsHaGe8BWjUusLEGIN1SZd0yD2wH6ojhwAAuVEPYPVGV1gE1kd2IftYd+2B7HV/IHfPTt0+DyJhUS8Qtu99yGTbU4TaDaA9eRDa07pF57Sx0dC2eQNCjXqF7xQbDc0iXU82+es9TRGmWbNo0PCpczgKVm90gUW9ws9hRYOG0EY9yE/GaaMeIHv9GtgO+8A0QZsRoWYQxFMHgbNHdQVx0UCrTkD1ws9hIbgvEBsFccUsAID44C5QqwFk3YZAy2RbKVQ+cxqSHvWgQQPxxRdjMOGrifjf/z5D7z598f57w/DF56OlDKtEHbqXizqelvhsTzJaLItFzzXxWH81q1j79liTgFeWx+KdrYk4H60ycqTmKyIxD6/MikCHeffx+cY4RKeoC63bwM8a12JU+cmfyKQ8HL2VhVbV2COoMBGJeXjl+wh0mHsfn294RvtWtMa1aAPtW53tW5SIuBy88vl5dBh3EZ8vvYPoxNxC6168m4HmtR30ylrUccLFuxmF7EERcbl4ZcxldPjqCj5ffg/RSbyeGo1cAaHlGxCPbC32LkKbHhD/2QvkFvaTpXwTFAoICgXEXP3rgjYnB7ZNCw7HfVLlI7tR9dppVNz0G2xeamTMMMsOuQJCs04Qj20rtIoQ1Bri3csQBoyFbO5fkH23AUKndwChfP6YeJa8C+dg2awF5P66B0KKGrVg2agxco8eLnwnS0vgqXNezM2BRb36gELygTmlinj9AmRBzSD4+AMAhIAakNVtCO2Zv6UNrAzJu3Aeli8/dQ43bFLkOay+cB6yCl6wbNUGACC4usHq9Y5QFXXel1PizYsQApsB3pV0Bf41gNoNgHOFn8NCzfoQLz01//uF40CNwqdhITI1Sf9a+fn54czZx0++z549h959+mHd2j+gUCiwdNlyCaMrGZFpaqy9osZbQXZ4v7ELrsbmYdrRVFjKge61DCcg3O3k+LatA+p6WEKlEbHxWhaGbknE2t5uqONRvN4Z5UV9X2tM72GJym4WiEvXYMHhZAxaHo3tw32hNNArsEugEslZGgxcHg1RBNRaoF8Te3zY2lmC6Eu/+r7WmN7zifY9lIxBy6KxfUQh7Vv/UfsuY/sWV/3KSkx/OwCVK9ggLkWFBTujMOj769j+XSCU1gXnaExIzYOrvf51wM3BAgmpTCAZUr+yHaYP9UdlTyvEpeZhwa4YDJodiu1f1zbYvvRihMbtAFt7iEcKT1ToqVIXgl81aJd+Y9zAzJg2IxNZp8/BbfT/EH3rDtRxCXB4sytsmjSE6l64wX3UsXF4OGo8si9ehszSEo6D+8Fv+1qEv9YduZevmfYAzIzQoK3uHD6+o/BKbj4QajaB+M8eaH8cAcGjIoSB4wC5AuKOJaYL1kxkLVkEQWkPlz0HAI0GkMuROW82cncUfp1QHTsK6179kPvXPqivXYWibj1Y9+oHwdISMmdnaOM59+C/NOuWArZKWCzfBWg1gEwOza8/QHtwp9ShlRlZSxZBsFPCZfdfj8/hH2Yjd2fh53DehXNI+2IkHObNh2BpBcHCArkH/0L6pK9NGLl5EDcuA2yUkC3cmX8Oi6t/hHhkV+E7ObkBKfpTI4gpiZDZ2QOWVoCq8AfXJAHO2WZ6SUlJ8Pb2xoMHD/LLQkND0btPP2xYvxaeFZ49KbWlpSUsLYs3/EoKogjU8bDAyOa6nii13S1wOzEPa69mFZpsq+ysQGXnx/9rGnhZ4n6qBisvZuL715xMEbbZeLLHVI0KQH1fK7Sbex97r2agVyOHAvVP3cvGkqMp+LqzGwJ9rXE/MQ/T9iRg4eFkfNyGCaGnGWzfOc/Rvkl5mLY7AQsPJePjtmxfQ1o9sbBBDV9b1A9Qot3Yi9h7JhG9XvGQLrAyolVdx/z/ruGrS761G38Fe88lo1cLNwkjK5uEtj2AS8eBlOL9EBba9IB4/xYQdtW4gZm5mI9GwuunWah67TREtRo5l68ibfN2WNc3PMRGdecuVHfu5r/PPnMelv6V4PLRu4j5aJSpwjZLQsvuwNXjQGoR57AgA9KSIK6aDIhaiBE3ACcPCK8PYbLNAKuOnWHdpRvSRn+qm++qVm0ox30NbVwscrZuMrhP5sKfIHN3h/O6LYAgQJuYgJytm2D33ocQtaKJj6B0k7XuCHn7zlDP+AJi+G0IVWpB8dE4iIlx0O4v5oMPKpJVxzd05/Dnn+rmHaxZG8rxEx+dw4YX7ZBXqQrlhK+RtWA+co8dhdzDA8ovxsH+2ylI/2qsiY+gdBNaBkNo/QbEOV9CvH8HQuWaEIaNBZLiIR7kOUzmS9Jk2+nTZ9CpU0ecPn1ar/z27dvo07c/Nm5Y98zPGDH8E4weXXpvHN3s5Kjiot/MAS4K7At7vjmsAj0tcC6GPVeexcFGDn9XS0QkGR7q+NOBZHStr0TvR4miGp6WyM7T4uvtCfiwlRNkRUxMT4/a180SEYnPaN/Gj9q3giWyVY/atzXbtzgcbBXw97BGRLzha4SbowUS0/P0yhLS8uBWzDnfyjsHWwX8Pa0REccnniXOzQuo20y3AEJxWNlAeDkY4saFxo2rDMgLv4/7XftCsLWBzF4JTWw8vJeFIC/8frE/I/v8Rdg2K3rYabnn4gXUbgrtws+LrpeaoJurTdTmF4kx9yBzcgfkisfzuBEAQPnlOGQtWYTc3bregppboZB5+8D2g48LTbYhNxfp479E+tfjIXN1gzY+DjZ9B0CbkQ4xKdGE0Zd+ivc+h3rtMmgP7wYAiOG3ofH0hrzf+0y2lRDlF+OQtfRn5O7W9RbMP4ff/7jQZJvd+x8j7/w5ZK1Y8mifm0jPyoLzHxuQ+eMc9s58gvDWaIiblkP8ew8AQIy4DXh4Q+g1rPBkW0qCrnfbk5/j5AoxM5292kqjctqzTdLJJUIWLMCN6zcMbrt16xZ69+mHefN+KPIz5ocsQPUatfRepUlDLwuEJ+vfdIWnaOBt/3zDl24k5MGdq5E+U2auFpHJeXAvpH2z87R4Ot8je/SPn89Jny0zV4vIpOdsXxnb93lk5mgQGZ9T6IIJQQFKnLyhP+H5iRupCApQmiI8s6dr39xiL5hAxSe07g6kJgEXijdPkND0VUBhCfEYhzoVl5iVDU1sPGSODrBr1wrpe4q/qIR1vdpQx8YZMTrzJ7TsCqQlAZeLPofFOxcBj4p6Px4ETz+IKfFMtBkgWNvohno8SaMt3o8vtRra2IeAVgurTl2gOnSw4GeVd1Y2eolfALqheJxDsMQINjaA1kAby4poYxvrAvuIWs2jDyyfiYdC/YdzWLx5CUJgU/3CoOZA6CUjBEj030jas+3GjZu4ceNmodtDQ0MRGhpa5GeoVCqoVKW3x9fQIDsM2JiIxWcyEFzNGldi87Dhaha+a/d4aNPcE2mIzdBi5qMhoisvZsLXQY6qLgrkPpqz7dQDFZZ1c5HoKEqvmXsT0baGLbydFIhL1yDkYDJkAtC5ni7xMGZTHDwcFBj9qq7t2tawxa8nU1HLywr1fa0QkZiHnw4moW0NW8jZ66qAQtv30WquYzY+at/XnmjfE4/at+Kj9j3A9i3KzA0RaBvoDG9XK8SlqBCy/QFkMgGdX3IFAIxZHgYPZwuM7ukHABjcvgKGzL6BFfti0KaeE3adScS18ExM4kqkBs3c+ABtAx3h7WKJuNQ8hOyI1rVvE92w5jG/3IOHkyVG9/ABAKjUWoTF6HoV5mlExKbk4UZkFmytZKjkYS3ZcZR6ggChVTeIf2/X3SA/uemjqUBSLMR1P+mXt+kJ8dxBICPVhIGaJ7u2rQBBgOpOGCwC/OHx7Xioboch9Y8NAAD3iV9C4eWJmI91C0w5f/AO8u5HIvfmLQhWVnAa3A+2rzRHZK/BUh5G6SYIEFp0g3hyZ8Fz+J3JQEocxM3zAQDi4Q0Q2vWF0O9LiAfXAB5+EN54F+KBNVJEXurlHjoA2w8/gSY6Cuo7t6GoVQe2b7+L7E0b8uvYjfoSMk9PpI/RncNy/8pQBNaH+tJFCA6OsH17GBTVqiNpbNlZRK2kaP85BEX/D6COi4E24jZkVWtD3vMtaP583ONK/s5ICK6eUM96PHxRCKip+w8bWwhOzrr36jyI98NMfQilXv45HBMN9Z1bunP4rafP4S8g86iA9EfnqOrQAdhPmg6bfgN1w0jdPaAcPxF5ly5CG8cHH08SzxyG0Pt9iPExwP07QEAtCN2GQvxrS34dYchngIsHxB/G6/bZuw7CG/11veL2b4YQ2BRCy9ehnfSxREdBRSufyf9SsZxPUFAQGjVqCA93dwBAXHw8zp07j4sXL0obWAmo52mJnzo5Y97JdCw8kw5fBznGvuKALjVs8uvEZ2oRk/H4xi5PI+L7Y2mIzdDA2kJADVcLrOjugqa+VlIcQqkWm6bG6I1xSMnSwMVOjkZ+1lj3vg9c7HQ9r6JT1XoPjz5q7QxBEPDjgSTEpmngYidD2xp2+Kw95xMzJDZVjdEbnmrfD55q3yeunR+1doYAA+3bge1bmNhkFUYvvYOUTDVclAo0qmaPdePqwOXRIgjRSbl653DDqvaYPawKftj6APO2RMLfwxohn1RHdR+u+GpIbIoKo5ffe9y+VZVYN6bmE+2rgvBEA8el5KHH1Mc9rlfsj8WK/bFoUk2J30bXMHn8ZqNuMwju3tAe3lpgk+BaAeLTPQK8/CHUbAjttPdNE5+ZkznY6xJq3hWgTU5F+s49iJ8yG1DrelEpPD1g4eOTX1+wtIDHpAlQeFWAmJ2NnGs3EdlzELKOnZTqEEq/Wk0huHpBe2xrgU2CawWIT/a6SI6Fdt4nkPUdDeHb9UByHMS//oC451eThWtOMqZ8A7tPR8P+m8m6IaFxsche9wcyFzxOwMvcPSD3enwOQyaD7dvvQVE5AKI6D3mn/kFy/zehjXpg4BvKN/WCKZAP/RSKEV8DTi5AYhw0u9dDs/rxEH3BxR2Ch5fefpY/P05koHpdyNt1gfgwCqohHUwVutnImPIt7P43CvZfT4bM1fXRObwGmQufOoe9vfPf52zZBMFOCZuBQ6AcMwHa9DTk/XMSGbNnSHEIpZq4ZCow8H+QfTgRcHQBkuIg7t0Acd2ix5Wc3SG4ez0eKRMbBe2kjyEbNgZCl0FAwkOI87/RrUhKVEoIXt6+kvXFdnV1xfJlS9C4cWNERUUhPl63ooi7uxt8fHxw5sxZDHvvfSQmPt/cDNFRkdCGtDFCxPQv2fDDENd1lDqMMkvouwfieravMQl99kA8OkTqMMosodUqiIcGSB1GmSa0/QOaAYFSh1Fmyf+4jJuu/lKHUWbVTAyHZlgDqcMo0+TLLiCuhr/UYZRZHqHhyH2tdE1fU9ZY7buBuJrsuW8sHjfvQdO1jtRhlGkVz6U9u1I5EH13hdG/wzvgHaN/x/OStGfb9OlTIZPJ0LpNW4SF3dXbVqVKAObOmY1p06bggw8+kihCIiIiIiIiIiKi4pM02damdWv07NmrQKINAMLC7uKrid9g08b1EkRGREREREREREQvpnzO3S3pTHUqlQpKe/tCtyuVdqV68QMiIiIiIiIiIqInSZps2759B378YS6Cg4OhVCrzy5VKJYKDgzFv7hxs3bpNwgiJiIiIiIiIiOg/EWTGf5VCkg4j/fa7SRBkMixaGAKFQgGVKg8AYGlpAbVajTVr12HS5ClShkhERERERERERFRskibbVCoVxo0bj6lTpyEwsB483D0AAHHxcbh8+QoyMjKkDI+IiIiIiIiIiP6z8jlnm6TJtn9lZGTgxImTUodBRERERERERET0QiQf3GptbY2XmjRBtWrVCmyzsrJCr15vShAVERERERERERG9kHI6Z5ukUQUEVMaRwwexefNGHDywH5s2boCnp2f+dnt7e8ybO0fCCImIiIiIiIiIiIpP0mTbhPHjcTM0FIGBQXilVRtkZGZg65ZN8PH2ljIsIiIiIiIiIiJ6YYIJXqWPpMm2xo0bYfr0mUhKTkZ4eDiGDn0bh48cxZYtm+Dn5ydlaERERERERERERM9N0mSbtbU11Gq1Xtm4ceOxf/9f2LxpAwICAiSKjIiIiIiIiIiIXoggGP9VCkm6GumdO2GoXz8Qd+7c0Suf8NVEAMCvvyyXIiwiIiIiIiIiIipjhg//BJ06dkTVqlWQk5ODs2fPYeq0aQgLu1ui3yNpz7Y9e/eie7duBrdN+Goitm7bDqGUZimJiIiIiIiIiKgIpWw10pebNcOvK1eic5du6Nd/ABQWCqz543fY2NiU6GFL2rMtJGQBQrCg0O3jx0/A+PETTBgRERERERERERGVRQMHDdZ7/9lno3D1yiUEBgbi1KlTJfY9kibbiIiIiIiIiIiorCrdoxUdHBwAACkpKSX6uUy2ERERERERERGRWbK0tISlpaVemUqlgkqlKnI/QRDw3Xff4PTp0wgNDS3RmCSds42IiIiIiIiIiMooE6xGOmL4J7gVekPvNWL4J88Mbdq0qahZowY++vjZdZ8Xe7YREREREREREZFZmh+yAIuXLNUre1avtqlTJuPVDu3Ro2cvxMQ8LPGYmGwjIiIiIiIiIiIjMP6AyuIMGX3S1CmTERwcjF69eyMyMtIoMTHZRkREREREREREZd60aVPRo3s3vP3OMGRkZMLd3R0AkJ6ejpycnBL7HibbiIiIiIiIiIio5AmlazXSt4YOAQBs3rRBr/yzkaOwfv0GQ7v8J0y2ERERERERERFRmeftU9Ek38NkGxERERERERERGYHx52wrjcrnURMRERERERERERkBe7YREREREREREVHJK2VztpkKe7YRERERERERERGVEMHL21eUOojyztLSEiOGf4L5IQugUqmkDqfMYfsaF9vX+NjGxsX2NT62sXGxfY2PbWxcbF/jYxsbF9vXuNi+ZI6YbCsFlEolboXeQPUatZCRkSF1OGUO29e42L7GxzY2Lrav8bGNjYvta3xsY+Ni+xof29i42L7GxfYlc8RhpERERERERERERCWEyTYiIiIiIiIiIqISwmQbERERERERERFRCWGyrRRQqVSYM2cuJ3s0EravcbF9jY9tbFxsX+NjGxsX29f42MbGxfY1PraxcbF9jYvtS+aICyQQERERERERERGVEPZsIyIiIiIiIiIiKiFMthEREREREREREZUQJtuoXIqOikTw669LHQYREZHR8G8dERERkTSYbDOyefPmYsXyZVKHUSbNmzcX0VGRBV7+/v5Sh1Ym/Nu+M2ZMK7Bt2tQpiI6KxLx5cyWIrOxp1KghIu+HY9WqX6UOpUzguWta/DtnOmzrksfrr3G5uLhg+vRpOHP6H9y7ewcXL5zDH7+vRpPGjaUOrUzx9vbC3Dmzcf7cWYTfC8PpUycx6btv4ezsVKz9X365GaKjIuHg4GDcQM3Mv/cTwz/5WK88+PXXER0VKVFUZceTv+Uiwu/i0sXzWLvmd/Tr2xeCIEgdHtELY7KNzNrBg4dQP6ih3uv+/ftSh1VmREVFoVvXrrC2ts4vs7KyQvfu3fDgwYMX+myFQvGi4ZUZ/fv1w4pffkGzpk3h6en5Qp8lk8l4gwLjnrtEVHaU5PWXClq2dAnq1q2DTz8biZavtMZbb7+LEydPwtnZWerQygw/Pz/s2b0LlStXxsefDEeLFq9gzNhxaNmyJbZv3wYnJyepQzRr2dk5+Pjjj+Do6Ch1KGXSv7/lmjZrjkGDhuD4iZOYNOlbrFr5K+RyudThEb0QJttMqE2bNti6ZRNuXL+Kq1cvY+XKX1CpUqX87b6+voiOikTHjsHYsGEdwu7cwv79f6JRo4YSRl26qVQqxMfH6720Wi1ef+01/Ll3N+6G3cbJE8cwauRnBS7YHp4eWP3bKoTd0dV5441OEh1F6XXlylVER8egY8fg/LJOHTsiKjoaV69eyy8r7rndtWsXbNq4AXfDbqNnzx4mPZbSytbWFl27dsGqVb/hwIGD6NOnd/62f580t2/fDn/t34e7YbexY8c21KhRI79Onz69ceP6Vbz26qs4fOgAwu+FwcfHR4pDKVVK6txdv34tpk6ZrPfZLi4uCL8XhpYtWxj/QMzMqX9OYNiwd/XK9u/bi9GjRua/j46KxID+/bB82VKE3bmFY8eO4rVXXzV1qGavOG1NRSvq+vvvtfVJhnqzfPrp/3D50gXcCr2B2bO+x/hxY7F/316TxF/aOTg4oFmzppg6dTpOnDiJqKgoXLx4ESEhC7Bv//78OrNnfY8rly8i9OZ1rF+/FrVr18r/jNGjRmL/vr0YNGggzvlPuT0AABNxSURBVJ45hbA7t/Dzzwthb28v1WGVOtOmTkFeXh76DxiIf/75B1HR0Th06DD69usPrwoVMGbMlwAAS0tLTBg/DmfPnMK9u3dw/Njf6N+vL3x9fbFp4wYAwM0b19j7+ynHjv2N+Ph4jBj+SaF1OnXqiEMH/8K9u3dw6p8T+OCD9/O3jR07Bjt3bC+wz/79f2LkZ58aJWZz8u9vuYcPH+LK1auYPz8Eb7/zLtq3b4e+j67Jz7pOAMCrr3bA7l07cTfsNq5euYTly5ZKcThEephsMyFbWxssXrIUHTt1Rt++/SBqRSxftrRAL5SxY77Ezz8vxquvvY67d+9i4YIQZvafw0svvYQff5yHZctXoE3b9hgzZhz69OmNT/83Qq/el198jt27d+PV117D5i1bsWjhAlStWlWiqEuvtevWoV/fPvnv+/Xrg3Xr1uvVKe65PX7cWCxbvhyt27TD4cNHTBJ/ade1SxfcuROGsLC72LR5M/r17VugzsSvJmDSpMno9EYXJCUmYuWvK/R6BtrY2OCTTz7C5198ibbt2iMxIcGUh1BqlcS5u+aPtejevTssLS3z93nzzZ54+PAhjh07bpoDKYNGjRqJHTt2on2H13DwwEGEhPzE3hdkcsW5/halR4/u+N+IEZg6dTqCO3ZCVFQUhgwZbKRozU9mZiYyMjIQHPy63jX0SUsWL4KbmxsGDhqC4I6dcPXKVaxft1bveuDv748uXTpj6FtvY8DAwahbty6mT5tqoqMo3ZycnNCmTWv8unIVcnJy9LbFx8dj8+Yt6NqlCwDgpx9/QPfu3fDVxG/Quk07jBk7FplZWYiOjsa7w94DALR8pRXqBzXE119/Y/JjKa00Gi2mz/geb7/9Nry8KhTYXq9ePSz+eRG2bd+B9h1exZy58/DlF5/nJ+83b96Chg0b6D3Iq169OurUro0tW7eZ7DjMyfHjJ3Dt2jV07NgRwLOvE+3bt8PyZUtx8OBBvPZ6R/Tp2w8XLl6U7gCIHmGyzYR2796DPXv2Ijw8HNeuXceoUaNRu3YtVK9eXa/ezz8vxoEDB3H37j3Mnj0XFStWRGXOQ2ZQhw7tcfvWzfzX4sWLMHrUZwhZsBAbNmzE/fv3cfTvv/H9rNkYNGiQ3r47du7CH2vW4u7de5g1azYuXb6Md955W6IjKb02bdqMJk2awMfHBz4+PmjcuAk2b9qsV6e45/bSZcuxZ89eREZGIi4uzpSHUWr1798Xmzbr2vPQocNwcLDHyy8306szd94POPr337h58yY+/WwU3N3d9XpsWVpaYtz4CTh79hzCwu4i+6kb7vKqJM7d3Xv2AABef/21/H369OmN9es3mO5AyqB16zdg67ZtCA8Px/QZM6FUKhEUFCR1WFTOFOf6W5R33nkba//f3p1GRXGlfQD/0+zKHEEhRkFfIzoqJEOLkonRk7iLZgLoKKAxRhP3jCvgBk6iIlER1IkmGo1GDbKJyiKgCMqi4gIqskUWUWhEUUCCLNrL+4GZ1g68wvi23dD+f5+q6lZVP7fOPdV1nrr3VlAQgkNCUFh4G9u270Bubu7rCrfdkUgkWLpsOaZMnoyc7CyEnziGVatWYsCA/gCA9+3sIBQKMXfefGRkZOD27SKs3+CNx4+rFUYb6OvrY8mSZcjKysalS5fg5fVPODo6wMzMTF1VazPeeacXBAIB8vPymy3Py8+HiYkxhEIhHBw+xXI3d8TGxuLu3btISTmPiIhISKVSVFVVAQAePnyE8vJy/P777yqsRdsXGxuLrOwsuLu5NSmbN3cOUlLOY/v2HSgsvI2QkFAcOPALFsyfBwC4desWsrKyMHGik/yYSZMmIi09HUVFRSqqQfuTn1+AHj0sWnWfWLJ4EcLDI7DVzx/5+fnIzs7Bzp271FwDIoCTJqnQO+/0goe7OwYOFKJz584QCBpznebm3fHbb7/J98vOef6g9p+ERBdTU+QXFKg24HbgwoULWLXaU75eW1uL+DOnMXiwnUJPNoFAG4aGBjA0MJAnItLS0hTOlZaWDmtrK9UE3o5UVFQgPj4BLs5ToKWlhfiEeFRUVirs09q2nXEjQ6Wxt3WWlr0hFArx5VeNb5QlEgkiIiIxdaorLl5Mle+XdvV5W62qqkJBQQH6vtALs6GhAdnZOaoLvJ1QRtttaGhAWFgYXF1cEBkZhffefRf9+/XDzJlfqqNKGiMn53l7raurQ3V1NUxNu6gxInrTtPb++9Jz9O6NgwcPKWy7dv0Ghg39UOnxtlfR0TGIj0/AX99/H7aDbDFyxHAsXDAf7h4r0MGwAzp27IisTMVnAwMDA/R6oReQSCRCWVmZfD0tLQ3a2tqwtLREeXm5qqrStrUwV2uPHhYQi8WtbtvU1MaN3yE0JAg/7t6jsL1v3z44deq0wrYrV65i9uyvIBAIIJVKcezYcbi6umD79h0AACdHB/z0E4c5voyWlhZkMhmsrKxavE9YW1sjICBQHWESvRSTbSp08JcDKCkRwWPFSpSV3YdAIMC5s/HQ01XsWi8WP5Mvy2QyAIBAwAnPm1NbW9fkrVCHDh3h5+eH6Jimc6bUNzSoKDLNEhQcLJ+3ao2nV5Py1rbt2rpalcTbXkx1dYWuri6upV+Vb9PS0sLTp0/h6bm21ef549ARek4ZbfdIYBDiTseiW7e34eLijPPnz0MkEqmsDu2JVCptMny8uY+hiJ+JFdZlMpk80Umt09prTc1r6f7b7PXV5fV9FQ0NDUhKTkZScjK2b9+Brb5b4O62HAcPHsL9Bw8webJzk2OqHz9WQ6TtT1FREaRSKfr27YPYZqYK7NunDyorq/icoASXLl3CucRErFm96r/u3X4iPByenmvw3rvvwsDAAN27d0d4RORrilQz9OnTB3eLi9GxY4cW7xMc0UFtFZ8aVMTExBh9+vSBu8dKXL58GUBj93lSvszMm7C0tGyxa7atrS2OHg17YX2gwsTp9NzZs+egq6sHGWRN5lpj23412tramDz57/h23XokJiYplO3/eR+cnByRn984LMR2kC1EpaUAgE6dOqF3797Iy29+yAgpUkbbzc3NxY0bGfhs2jQ4TXSC13+RCH3TPHpUga5vvSVfNzIyQs+ePdUYkebitX51rbn/lpSUwMjICIaGhqirqwPQ2HviRQWFhRDa2Cg8SwhtbF5/Bdq5W3l5sLcfh5s3M/GWmRnEYvFLvxJtbm6Orl274v79+wAan98kEgkKOOIDlZVVSEpKxhdfzMDevfsUkmpmZmaYNGkiQo+GIScnFwKBAEOGfIDk5JQm53n2rPFFv7Y2X3q8jI/PJsSdjlVoe3l5+bD7w7ODnd1gFBbehlQqBQDcu1eGi6mpmDhpIgwMDJCUlIxHjx6pNPb2ZOjQD2FlNQB79+7DvXv3WrxP5OTkYNiwoQgOCWm2nEhdmGxTkaqqx6ioqMD06dPw4MEDmJt3x5rVq9Udlkby37YDhw4egEgkQtTJaEilUlhbWaFf/37YssVXvt+nf/sEGTcycPnKZUyaOBEDhUK4uXmoMfK2SyqV4uPhI+TLL2LbfjVjRo9Gp06dEBgY1GRulOjoaEx1dcUGb28AwLKlS1FZWYny8odYtXIFKioqEBt7Sh1htzvKartHAgOx0XsDamvrENNc9wECAJw/fx7OzlNwOu4Mqqur4eHuBolEou6wNBKv9atrzf132mfTUVdXh9WrVuLn/QdgO3AgnKdMUdh3//4D2Oq7BTcyMnD16lU4ODhgwID+uHv3riqr02aZmBhjz57dCAoKRk5ODmpqnsDG5i9YuGA+Tp06jaTkZKSlpePA/n3w9vZBQWEh3n67K0aNGoWYmFhkZDQOG2toaMCO7f5Yv8EbRkZ/gveGdYiMjOIQ0n/z9PJCRPgJHAn4FZu3+KK4+C7+/Od+WOvliXtlZdi8eQuqqqoQGnoU/n5bsXbtN8jKzoaFhTlMTU0RGRmFkhIRpFIpRo8ejfj4BNTX16O2lqMR/ig3NxfHjh/Hl18+n0piz56fEB0dhaVLlyAiIgKDBg3CrFkzsXqNp8Kxx48dh5ubG/T0dPHNt+tUHXqbpaenBzMzM2hra8PM1BTDRwzHon98jbi4OIQePQqpVNrifcLffxtCgoNw584dnAiPgI6ODkaNHIFdP/yo7urRG46vL14zgUALYokYMpkMCxZ+jb+89x4S4uPw7bffYIM3v6T0OiQmJmLGF7Pw8ccfISY6ClGR4ZgzZ3aTtyFb/fzh6OiAM3GnMXny37Hw638gLy9PTVG3fTU1NaipqWmynW371Uyd6oLklJRmJyE+GR0DodAGVgMaP2vu8913WL9uHWJjTsLMzAxfzJwlfwtNLVNG2z1xIhwSiQTh4eFo4HB0Bf/5nwOA73fuQmrqJRw6eACHD/2C2FOncOfOHTVHqDl4rZWjNfffbt3exqJFSzBy1EgkxMfByckBfv7+CvseP34C3+/chX+u9cKp2Bj07NEDISGhnLLi3548qcW19GuYO2c2joUdxdmEM1jh4Y6AI4Hw9GrsITz98xlITb0Ef38/pCQn4scfdsHC3BwPHz5PpBUVFSE6JhaHDx1C4JEAZOfkNElkvMlu3y6C/fhPcOfuXezZ/QMunE+B75ZNuHDhAhwcHOUfP1i1eg2iTkbDx2cjkhLPwtd3CzoYdgAAlJWVYaufP9asXoWMG9ewcaO3GmvUtvn6+ilM73MzMxPz5i+Ao8OnSIg/Aw93N/j6+jUZahp1MhomJsYwNDTkC9MXjBw5Ajeup+NS6gUEBBzG0A+HYO3abzBz1lfyl6Qt3ScuXkzF3HnzMXbsGMSdjkVoSBA/ukRtgla37hYydQehyQJ+PYyioiL5QwURUWsNGfIBwo6Gov8Aa1RXV6s7nDeahYUFLl5IwYQJf8PNzEx1h9Om8H9OdXit276gwAA8KC/H4sVL1R2KRnBbvgz29uMwZqx9yzsTERG1IRxG+pp06tQJdnaDMWTIBzh8+Fd1h0NERK9AR0cHJiYmWLnCA+np6Uy0vYD/c6rDa902GRoY4PMZn+PcuURIJRI4OTnio48+govrVHWHRkRERGrGZNtr4u+3FTZCG+z5aS9iT7GrMBFRe2RnNxhhR0NRUFCAOXPnqzucNoX/c6rDa902yQCMGjkCixcvgoG+PgoKCvDV7DnNTkBPREREbxYOIyUiIiIiIiIiIlISfiCBiIiIiIiIiIhISZhsIyIiIiIiIiIiUhIm24iIiIiIiIiIiJSEyTYiIiIiIiIiIiIlYbKNiIiIiIiIiIhISZhsIyIiIlKSUlEx7MeNU3cYRERERKRGTLYRERFRu7dtmz9KRcXYtMmnSZnPRm+UioqxbZu/0n7PbfkyxJ2OVdr5iIiIiEhzMNlGREREGkEkEsHRwQEGBgbybfr6+nByckRJSYkaIyMiIiKiNwmTbURERKQRbt7MRGnpPYwfby/fNmH8eIhKS5GZmSXfpqenhw3r1yHjxjUUFuThxPEw2NjYyMuHDPkApaJiDBs2FDHRJ1GQfwsR4cdhadkbAODsPAVubsthbW2NUlExSkXFcHaeIj++c2cT/LxvLwrybyElJQljx4xRQe2JiIiIqK1gso2IiIg0RlBwMFxdnOXrrq7OCA4OUdjHy3MNJkyYgCVLl2Gc/QTcLrqDIwG/wtjYWGG/lStXYN36DbAf/wnEYgn8/bYCACIiIrF79x7k5v4GG6EtbIS2iIiIlB+3fPkyREZGYdTosUiIT8DOnf9qcm4iIiIi0lxMthEREZHGCAs7Bjs7O5ibm8Pc3ByDB9vhWNgxebmhoSFmzPgc3t4bcfbsOeTl5cHDYwXq6+sx1dVF4VybN29Bamoq8vLysHPXLtjZ2UFfXx/19fV48uQJJBIxysvLUV5ejvr6evlxwSGhOBEejqKiIny3aTOMjIwgFApVdQmIiIiISM101B0AERERkbJUVFQgPj4BLs5ToKWlhfiEeFRUVsrLe/X6H+jp6eHylSvybWKxGNevX0ffvn0VzpWdnSNffnD/AQDAtEsXiEpLXxpDTs7z4+rq6lBdXQ1T0y7/r3oRERERUfvBZBsRERFplKDgYGz03gAAWOPp9crnEYvF8mUZZAAALUHLgwLEz8QK6zKZDIJWHEdEREREmoFPfkRERKRRzp49B11dPejo6uLcuUSFsqKiO2hoaMD7dnbybTo6OrAR2uDWrbxW/8bTZ88gEGgrLWYiIiIi0hzs2UZEREQaRSqV4uPhI+TLL6qrq8Ohw4fh5eWJyqoqiEQiLFy4AIYGhggMCmr1b5QUl6Bnzx6wtrbCvdJ7qHnyBE+fPlVqPYiIiIiofWKyjYiIiDROTU3N/1nm47MJAi0Bvv/XdnTs2BEZGRmY9tl0PH78uNXnPxkdjfET7BEaEgxjY2MsXbYcISGhygidiIiIiNo5rW7dLWTqDoKIiIiIiIiIiEgTcM42IiIiIiIiIiIiJWGyjYiIiIiIiIiISEmYbCMiIiIiIiIiIlISJtuIiIiIiIiIiIiUhMk2IiIiIiIiIiIiJWGyjYiIiIiIiIiISEmYbCMiIiIiIiIiIlISJtuIiIiIiIiIiIiUhMk2IiIiIiIiIiIiJWGyjYiIiIiIiIiISEmYbCMiIiIiIiIiIlISJtuIiIiIiIiIiIiU5H8BEh+e7XXvdAEAAAAASUVORK5CYII=" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Worst month per year:\n", - " 2018: Jul (11.07 min)\n", - " 2019: Jun (7.68 min)\n", - " 2020: Nov (6.21 min)\n", - " 2021: Nov (7.03 min)\n", - " 2022: Jul (11.63 min)\n", - " 2023: Jun (8.82 min)\n", - " 2024: Jul (9.95 min)\n", - " 2025: Jul (9.53 min)\n" - ] - } - ], - "execution_count": 71 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3333,12 +1857,7 @@ "id": "132af4b1145911c0" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:54.197297044Z", - "start_time": "2026-05-20T13:46:54.054836254Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "eplots.plot_top_delay_routes(df)\n", @@ -3357,36 +1876,8 @@ " print(f\" {route}: {val:.2f} min\")" ], "id": "17cfbe65b5dec52c", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Top 10 routes by average arrival delay:\n", - " ITALIE → PARIS LYON: 14.14 min\n", - " MARSEILLE SAINT CHARLES → TOURCOING: 11.00 min\n", - " MARSEILLE SAINT CHARLES → LILLE: 10.92 min\n", - " LYON PART DIEU → LILLE: 10.79 min\n", - " BARCELONA → PARIS LYON: 10.51 min\n", - " MADRID → MARSEILLE SAINT CHARLES: 10.16 min\n", - " CHAMBERY CHALLES LES EAUX → PARIS LYON: 10.09 min\n", - " PARIS EST → STUTTGART: 9.95 min\n", - " TOULOUSE MATABIAU → PARIS MONTPARNASSE: 9.93 min\n", - " LILLE → MARSEILLE SAINT CHARLES: 9.86 min\n" - ] - } - ], - "execution_count": 72 + "outputs": [], + "execution_count": null }, { "metadata": {}, @@ -3403,12 +1894,7 @@ "id": "c7712d0d784b853f" }, { - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-20T13:46:54.288039565Z", - "start_time": "2026-05-20T13:46:54.210635283Z" - } - }, + "metadata": {}, "cell_type": "code", "source": [ "season_order = [\"winter\", \"spring\", \"summer\", \"autumn\"]\n", @@ -3428,25 +1914,8 @@ "print(f\"Lowest average delay : {best_season} ({season_stats.loc[best_season, 'Mean (min)']:.2f} min)\")" ], "id": "e04325646dad4df8", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Delay statistics by season:\n", - " Mean (min) Median (min) Std dev Observations\n", - "season \n", - "winter 5.63 5.16 5.81 2810\n", - "spring 5.14 4.41 4.07 2786\n", - "summer 7.21 6.09 4.85 2829\n", - "autumn 6.30 5.75 6.57 2818\n", - "\n", - "Highest average delay : summer (7.21 min)\n", - "Lowest average delay : spring (5.14 min)\n" - ] - } - ], - "execution_count": 73 + "outputs": [], + "execution_count": null }, { "metadata": {}, From 470fe4b0878f1d0b90257d18b7211bd419929d08 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:19:30 +0200 Subject: [PATCH 02/34] feat: add type conversion functions for date and numeric columns --- scripts/trains/cleaning/type_conversion.py | 47 ++++++++++++++++++++++ 1 file changed, 47 insertions(+) create mode 100644 scripts/trains/cleaning/type_conversion.py diff --git a/scripts/trains/cleaning/type_conversion.py b/scripts/trains/cleaning/type_conversion.py new file mode 100644 index 0000000..d2eed91 --- /dev/null +++ b/scripts/trains/cleaning/type_conversion.py @@ -0,0 +1,47 @@ +import pandas as pd + +_TEXT_COLS = ["Date", "Service", "Departure station", "Arrival station", "Nom_Gare", "Trigramme", "Segment(s) DRG", "Id_Gare", "Code_UIC", "Position géographique"] + +_STR_COLS = ["Service", "Departure station", "Arrival station", "Nom_Gare", "Trigramme", "Segment(s) DRG", "Id_Gare", "Code_UIC", "Position géographique"] + +def parse_dates(df: pd.DataFrame, col: str = "Date") -> pd.DataFrame: + df[col] = pd.to_datetime(df[col], format="mixed") + print(f"dtype : {df[col].dtype}") + print(f"Range : {df[col].min().date()} → {df[col].max().date()}") + return df + + +def convert_numerics( + df: pd.DataFrame, text_cols: list[str] | None = None +) -> pd.DataFrame: + if text_cols is None: + text_cols = _TEXT_COLS + numeric_cols = [c for c in df.columns if c not in text_cols] + + for col in numeric_cols: + if df[col].dtype == object: + df[col] = df[col].str.strip().str.replace(",", ".") + df[col] = pd.to_numeric(df[col], errors="coerce") + + still_object = [c for c in numeric_cols if df[c].dtype == object] + if still_object: + print(f"WARNING — still object after conversion: {still_object}") + else: + print(f"All {len(numeric_cols)} numeric columns successfully converted.") + return df + + +def cast_string_columns( + df: pd.DataFrame, str_cols: list[str] | None = None +) -> pd.DataFrame: + if str_cols is None: + str_cols = _STR_COLS + str_cols = [col for col in str_cols if col in df.columns] + if str_cols: + df[str_cols] = df[str_cols].astype("string") + for col in ("Code_UIC", "Segment(s) DRG"): + if col in df.columns: + df[col] = df[col].str.split(";").str[0].str.strip().astype("string") + print("Dtypes after cast:") + print(df[str_cols].dtypes.to_string()) + return df From f27909a8f6eac47665b9a10337ca2298512d8864 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:19:37 +0200 Subject: [PATCH 03/34] feat: implement AuditReport class for data cleaning metrics tracking --- scripts/trains/audit/tracker.py | 143 ++++++++++++++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 scripts/trains/audit/tracker.py diff --git a/scripts/trains/audit/tracker.py b/scripts/trains/audit/tracker.py new file mode 100644 index 0000000..76427b2 --- /dev/null +++ b/scripts/trains/audit/tracker.py @@ -0,0 +1,143 @@ +import pandas as pd + + +class AuditReport: + def __init__(self) -> None: + self._entries: list[dict] = [] + + def add(self, metric: str, value, category: str, reason: str) -> None: + self._entries.append( + {"metric": metric, "value": value, "category": category, "reason": reason} + ) + + def add_many(self, entries: list[dict]) -> None: + self._entries.extend(entries) + + def get(self, metric: str): + for entry in self._entries: + if entry["metric"] == metric: + return entry["value"] + raise KeyError(f"Metric not found: {metric!r}") + + def record_initial_state(self, df: pd.DataFrame) -> None: + initial_null_total = df.isnull().sum().sum() + perfect_rows = df.dropna().shape[0] + perfect_cols = df.dropna(axis=1).shape[1] + nb_rows = df.shape[0] + + self.add_many( + [ + {"metric": "initial_rows", "value": df.shape[0], "category": "initial_state", "reason": "Raw dataset before any cleaning"}, + {"metric": "initial_columns", "value": df.shape[1], "category": "initial_state", "reason": "Raw dataset before any cleaning"}, + {"metric": "initial_null_total", "value": int(initial_null_total), "category": "initial_state", "reason": "Total missing values across all cells"}, + {"metric": "perfect_rows", "value": perfect_rows, "category": "initial_state", "reason": "Rows with zero NaN — no cleaning needed"}, + {"metric": "rows_lost_if_strict_dropna", "value": nb_rows - perfect_rows, "category": "initial_state", "reason": "Rows lost with a strict zero-NaN policy"}, + {"metric": "perfect_columns", "value": perfect_cols, "category": "initial_state", "reason": "Columns with zero NaN"}, + {"metric": "cols_lost_if_strict_dropna", "value": df.shape[1] - perfect_cols, "category": "initial_state", "reason": "Columns lost with a strict zero-NaN policy"}, + ] + ) + for col in df.columns: + self.add(f"initial_null__{col}", int(df[col].isnull().sum()), "initial_null_per_column", col) + + def record_comment_cols(self, comment_cols: list[str]) -> None: + for col in comment_cols: + self.add("column_dropped", col, "cleaning", "Irrelevant data — free text comment column") + self.add("columns_dropped_total", len(comment_cols), "cleaning", "Irrelevant data — free text columns removed") + + def record_duplicates(self, nb_dup: int) -> None: + self.add("rows_dropped_duplicates", int(nb_dup), "cleaning", "Duplicate rows — same observation counted more than once") + + def record_critical_nan(self, crit_dropped: int) -> None: + self.add("rows_dropped_critical_nan", crit_dropped, "cleaning", "Unusable for analysis — missing key identifiers (CRITICAL_COLS)") + + def record_station_clustering(self, stats: dict, station_columns: list[str]) -> None: + self.add_many( + [ + {"metric": "stationclusters_total", "value": stats["total"], "category": "station_clustering", "reason": "Unique canonical station names after fuzzy deduplication"}, + {"metric": "stationclusters_with_merge", "value": stats["merged"], "category": "station_clustering", "reason": "Canonical names that absorbed at least one spelling variant"}, + {"metric": "station_variants_merged", "value": stats["variants"], "category": "station_clustering", "reason": "Non-canonical spellings unified into a canonical form"}, + {"metric": "station_fuzzy_threshold", "value": stats["threshold"], "category": "station_clustering", "reason": "token_sort_ratio threshold used for fuzzy matching"}, + {"metric": "station_columns_processed", "value": len(station_columns), "category": "station_clustering", "reason": "Number of station-type columns processed"}, + ] + ) + + def record_delay_recovery(self, dep_late: int, dep_all: int, arr_late: int, arr_all: int) -> None: + self.add_many( + [ + {"metric": "values_filled_dep_late", "value": dep_late, "category": "data_recovery", "reason": "Computed from average departure delay + scheduled/delayed counts"}, + {"metric": "values_filled_dep_all", "value": dep_all, "category": "data_recovery", "reason": "Computed from late-train departure delay + delayed/scheduled counts"}, + {"metric": "values_filled_arr_late", "value": arr_late, "category": "data_recovery", "reason": "Computed from average arrival delay + scheduled/delayed counts"}, + {"metric": "values_filled_arr_all", "value": arr_all, "category": "data_recovery", "reason": "Computed from late-train arrival delay + delayed/scheduled counts"}, + ] + ) + + def record_recovery_summary(self, df: pd.DataFrame) -> None: + null_post_recovery = int(df.isnull().sum().sum()) + initial_null = self.get("initial_null_total") + algebraic_total = sum( + self.get(m) + for m in [ + "values_filled_dep_late", + "values_filled_dep_all", + "values_filled_arr_late", + "values_filled_arr_all", + ] + ) + algebraic_recovery_rate = round(algebraic_total / max(initial_null, 1), 4) + self.add_many( + [ + {"metric": "null_post_recovery", "value": null_post_recovery, "category": "recovery_summary", "reason": "Remaining nulls after algebraic recovery (steps 4.6–4.7)"}, + {"metric": "null_recovered_algebraic", "value": algebraic_total, "category": "recovery_summary", "reason": "Total cells recovered via algebraic derivation"}, + {"metric": "algebraic_recovery_rate", "value": algebraic_recovery_rate, "category": "recovery_summary", "reason": "Recovered / initial_null_total — algebraic coverage of initial nulls"}, + ] + ) + print(f"Nulls post recovery : {null_post_recovery}") + print(f"Recovered algebraic : {algebraic_total}") + print(f"Algebraic coverage : {algebraic_recovery_rate:.1%} of initial nulls") + + def record_pipeline_summary( + self, + df: pd.DataFrame, + original_rows: int, + original_col_count: int, + cols_after_comment_drop: int, + ) -> None: + row_retention = round(len(df) / original_rows, 4) + rows_lost_dedup = self.get("rows_dropped_duplicates") + rows_lost_crit = self.get("rows_dropped_critical_nan") + cols_added = df.shape[1] - cols_after_comment_drop + + self.add_many( + [ + {"metric": "row_retention_rate", "value": row_retention, "category": "pipeline_summary", "reason": "Fraction of original rows kept (higher = more data preserved)"}, + {"metric": "pct_rows_lost_dedup", "value": round(rows_lost_dedup / original_rows, 4), "category": "pipeline_summary", "reason": "Fraction of rows lost to exact deduplication"}, + {"metric": "pct_rows_lost_critical_nan", "value": round(rows_lost_crit / original_rows, 4), "category": "pipeline_summary", "reason": "Fraction of rows lost to missing critical identifiers"}, + {"metric": "cols_added_feature_eng", "value": cols_added, "category": "pipeline_summary", "reason": "Net columns added by feature engineering (year, month, season, etc.)"}, + ] + ) + + def record_corrections(self, neg_fixed: int, overflow_fixed: int, hier_fixed: int) -> None: + self.add("values_fixed_negative", neg_fixed, "data_correction", "Impossible negative count values — replaced by route-level median") + self.add("values_fixed_count_vs_scheduled", overflow_fixed, "data_correction", "Counts exceeding scheduled trains — logically impossible") + self.add("values_fixed_delay_hierarchy", hier_fixed, "data_correction", "Delay hierarchy violation — higher threshold exceeded lower threshold") + + def record_final_state(self, df: pd.DataFrame, original_rows: int) -> None: + self.add_many( + [ + {"metric": "final_rows", "value": len(df), "category": "final_state", "reason": "Rows after full cleaning pipeline"}, + {"metric": "final_columns", "value": len(df.columns), "category": "final_state", "reason": "Columns after cleaning + feature engineering"}, + {"metric": "final_null_total", "value": int(df.isnull().sum().sum()), "category": "final_state", "reason": "Intentionally kept null — non-derivable columns"}, + {"metric": "total_rows_removed", "value": original_rows - len(df), "category": "final_state", "reason": "Total rows removed across all cleaning steps"}, + ] + ) + + def to_dataframe(self) -> pd.DataFrame: + return pd.DataFrame( + self._entries, columns=["metric", "value", "category", "reason"] + ) + + def export(self, path: str) -> None: + df = self.to_dataframe() + df.to_csv(path, index=False) + print(f"Report saved: {len(df)} entries → {path}") + print(df["category"].value_counts().to_string()) From 1d2674713c752f5abbf8f83639b4714c7817f83e Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:19:42 +0200 Subject: [PATCH 04/34] feat: add StationClusterer class for station name clustering and cleaning --- scripts/trains/cleaning/station_clustering.py | 158 ++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100644 scripts/trains/cleaning/station_clustering.py diff --git a/scripts/trains/cleaning/station_clustering.py b/scripts/trains/cleaning/station_clustering.py new file mode 100644 index 0000000..ffeacce --- /dev/null +++ b/scripts/trains/cleaning/station_clustering.py @@ -0,0 +1,158 @@ +import re +from collections import Counter + +import pandas as pd + +_CONFUSABLES = str.maketrans( + { + "1": "I", + "3": "E", + "4": "A", + "5": "S", + "8": "B", + "@": "A", + "'": "", + "`": "", + "-": "", + } +) +_ABBREV = {"ST ": "SAINT "} +_INVALID = {"", "0", "NAN", "NONE", "NULL", "N/A", "NA"} +DEFAULT_THRESHOLD = 80 + + +class StationClusterer: + def __init__(self, threshold: int = DEFAULT_THRESHOLD, unique_ratio_threshold: float = 0.1): + self.threshold = threshold + self.unique_ratio_threshold = unique_ratio_threshold + self.clusters: dict[str, list[str]] = {} + + def fit_transform( + self, df: pd.DataFrame + ) -> tuple[pd.DataFrame, list[str], dict]: + station_columns = self._detect_station_columns(df, self.unique_ratio_threshold) + print(f"Station-like columns detected: {station_columns}") + + all_values: list[str] = [] + for col in station_columns: + all_values.extend(df[col].astype(str).tolist()) + + cleaned_of_raw: dict[str, str] = {} + valid_cleaned: list[str] = [] + for raw in all_values: + cleaned = self._preprocess(raw) + cleaned_of_raw[raw] = cleaned + if cleaned not in _INVALID: + valid_cleaned.append(cleaned) + + counts = Counter(valid_cleaned) + unique = list(counts.keys()) + parent = {v: v for v in unique} + + for i, a in enumerate(unique): + for b in unique[i + 1 :]: + if self._tok_sort_ratio(a, b) < self.threshold: + continue + ra = self._find_root(parent, a) + rb = self._find_root(parent, b) + if ra == rb: + continue + if counts[ra] >= counts[rb]: + parent[rb] = ra + else: + parent[ra] = rb + + root_to_members: dict[str, list[str]] = {} + for v in unique: + r = self._find_root(parent, v) + root_to_members.setdefault(r, []).append(v) + + canonical_of: dict[str, str] = {} + for members in root_to_members.values(): + canonical = max(members, key=lambda x: counts[x]) + for member in members: + canonical_of[member] = canonical + + mapping = { + raw: canonical_of.get(cleaned_of_raw.get(raw, ""), raw) + for raw in all_values + } + + for col in station_columns: + df[col] = df[col].astype(str).map(mapping) + + self.clusters = {} + for raw, canon in mapping.items(): + self.clusters.setdefault(canon, []).append(raw) + + stats = { + "total": len(root_to_members), + "merged": sum(1 for m in root_to_members.values() if len(m) > 1), + "variants": sum( + len(m) - 1 for m in root_to_members.values() if len(m) > 1 + ), + "threshold": self.threshold, + "columns": len(station_columns), + } + return df, station_columns, stats + + def print_merges(self) -> None: + for canon, variants in sorted( + self.clusters.items(), key=lambda x: str(x[0]) + ): + if len(variants) > 1: + print(f"\n{canon}") + for v in sorted(variants, key=str): + prefix = " " if v == canon else "↳ " + print(f" {prefix}{v!r}") + + @staticmethod + def _detect_station_columns(df: pd.DataFrame, unique_ratio_threshold: float = 0.1) -> list[str]: + keywords = ("station", "departure", "arrival", "gare", "origine", "destination", "nom_gare", "gare") + station_columns = [] + for col in df.columns: + if not any(kw in col.lower() for kw in keywords): + continue + if not pd.api.types.is_string_dtype(df[col]): + continue + sample = df[col].dropna().astype(str) + if sample.empty: + continue + avg_len = sample.str.len().mean() + digit_ratio = sample.str.count(r"\d").sum() / max( + sample.str.len().sum(), 1 + ) + unique_ratio = df[col].nunique() / max(len(df[col]), 1) + if ( + avg_len < 50 + and digit_ratio < 0.05 + and unique_ratio < unique_ratio_threshold + and df[col].nunique() >= 5 + ): + station_columns.append(col) + return station_columns + + @staticmethod + def _preprocess(raw: str) -> str: + cleaned = str(raw).strip().upper().translate(_CONFUSABLES) + cleaned = re.sub(r"\s+", " ", cleaned).strip() + for abbr, full in _ABBREV.items(): + cleaned = cleaned.replace(abbr, full) + return cleaned + + @staticmethod + def _tok_sort_ratio(a: str, b: str) -> int: + a_s = " ".join(sorted(a.split())) + b_s = " ".join(sorted(b.split())) + t = len(a_s) + len(b_s) + if t == 0: + return 100 + common = sum((Counter(a_s) & Counter(b_s)).values()) + return int(200 * common / t) + + @staticmethod + def _find_root(parent: dict, v: str) -> str: + while parent[v] != v: + parent[v] = parent[parent[v]] + v = parent[v] + return v From e271476cafd9bb73800fb3cbc6fe41731866a5dd Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:19:47 +0200 Subject: [PATCH 05/34] feat: add quality checks for data completeness, distributions, outliers, validity, and effectiveness --- scripts/trains/audit/quality.py | 212 ++++++++++++++++++++++++++++++++ 1 file changed, 212 insertions(+) create mode 100644 scripts/trains/audit/quality.py diff --git a/scripts/trains/audit/quality.py b/scripts/trains/audit/quality.py new file mode 100644 index 0000000..546937e --- /dev/null +++ b/scripts/trains/audit/quality.py @@ -0,0 +1,212 @@ +from __future__ import annotations + +import pandas as pd + +from scripts.trains.audit.tracker import AuditReport + +_DEFAULT_DIST_COLS = [ + "Number of scheduled trains", + "Average delay of all trains at arrival", + "Average delay of all trains at departure", + "Average delay of late trains at arrival", + "Average delay of late trains at departure", + "cancellation_rate", + "punctuality_rate", + "Average journey time", + "Pct delay due to external causes", + "Pct delay due to infrastructure", + "Pct delay due to traffic management", + "Pct delay due to rolling stock", +] + + +def check_completeness(df: pd.DataFrame, report: AuditReport) -> float: + total_cells = df.shape[0] * df.shape[1] + null_cells = int(df.isnull().sum().sum()) + completeness = round(1 - null_cells / total_cells, 4) + col_completeness = (1 - df.isnull().mean()).sort_values() + + report.add("overall_completeness", completeness, "quality_score", "Non-null cells / total cells (1.0 = fully complete)") + for col in df.columns: + rate = round(float(1 - df[col].isnull().mean()), 4) + report.add(f"completeness__{col}", rate, "completeness_per_column", col) + + print( + f"Overall completeness : {completeness:.2%}" + f" ({total_cells - null_cells:,} / {total_cells:,} cells non-null)" + ) + print("\nLeast complete columns:") + for col, rate in col_completeness.head(5).items(): + bar = "░" * int((1 - rate) * 30) + print(f" {rate:>6.1%} {bar} {col}") + print("\nMost complete columns:") + for col, rate in col_completeness.tail(5).items(): + print(f" {rate:>6.1%} {col}") + return completeness + + +def check_distributions( + df: pd.DataFrame, + report: AuditReport, + dist_cols: list[str] | None = None, +) -> pd.DataFrame: + if dist_cols is None: + dist_cols = _DEFAULT_DIST_COLS + + stat_rows = [] + for col in dist_cols: + if col not in df.columns: + continue + s = df[col].dropna() + if s.empty: + continue + row = { + "column": col, + "n": len(s), + "mean": round(float(s.mean()), 3), + "std": round(float(s.std()), 3), + "min": round(float(s.min()), 3), + "p25": round(float(s.quantile(0.25)), 3), + "median": round(float(s.median()), 3), + "p75": round(float(s.quantile(0.75)), 3), + "max": round(float(s.max()), 3), + } + stat_rows.append(row) + for stat, val in row.items(): + if stat == "column": + continue + report.add(f"dist__{col}__{stat}", val, "numeric_distribution", col) + + stats_df = pd.DataFrame(stat_rows).set_index("column") + print(stats_df.to_string()) + return stats_df + + +def check_outliers( + df: pd.DataFrame, report: AuditReport +) -> list[tuple[str, int, float]]: + outlier_cols = [ + c + for c in df.select_dtypes(include="number").columns + if c not in ("year", "month") + ] + outlier_rows: list[tuple[str, int, float]] = [] + + for col in outlier_cols: + s = df[col].dropna() + if len(s) < 10 or s.std() == 0: + continue + z = (s - s.mean()) / s.std() + n_out = int((z.abs() > 3).sum()) + rate = round(n_out / len(df), 4) + outlier_rows.append((col, n_out, rate)) + report.add( + f"outlier_rate__{col}", + rate, + "outlier_analysis", + f"{n_out} values |z|>3 out of {len(df)} rows", + ) + + outlier_rows.sort(key=lambda x: -x[2]) + print(f'{"Column":<58} {"N outliers":>10} {"Rate":>7}') + print("─" * 82) + for col, n, rate in outlier_rows: + bar = "█" * min(int(rate * 300), 30) + print(f"{col:<58} {n:>10,} {rate:>6.2%} {bar}") + return outlier_rows + + +def check_validity(df: pd.DataFrame, report: AuditReport) -> dict[str, int]: + checks: dict[str, int] = {} + + checks["cancellation_rate_in_0_1"] = int( + df["cancellation_rate"].dropna().between(0, 1).all() + ) + checks["punctuality_rate_in_0_1"] = int( + df["punctuality_rate"].dropna().between(0, 1).all() + ) + checks["no_negative_scheduled"] = int( + (df["Number of scheduled trains"].dropna() >= 0).all() + ) + + hier_pairs = [ + ("Number of trains delayed > 15min", "Number of trains delayed > 30min"), + ("Number of trains delayed > 30min", "Number of trains delayed > 60min"), + ] + for col_lo, col_hi in hier_pairs: + both = df[[col_lo, col_hi]].dropna() + key = ( + f'hierarchy_{col_lo.split(">")[1].strip().replace(" ", "")}' + f'_{col_hi.split(">")[1].strip().replace(" ", "")}' + ) + checks[key] = int((both.iloc[:, 0] >= both.iloc[:, 1]).all()) + + pct_cols = [c for c in df.columns if c.startswith("Pct delay due to")] + if pct_cols: + row_pct_sum = df[pct_cols].sum(axis=1, skipna=True) + checks["pct_delay_sum_le_105"] = int((row_pct_sum.dropna() <= 105).all()) + + checks["date_range_sane"] = int( + (df["Date"] >= "2015-01-01").all() and (df["Date"] <= "2026-12-31").all() + ) + checks["service_only_2_values"] = int( + df["Service"].dropna().isin(["NATIONAL", "INTERNATIONAL"]).all() + ) + checks["no_fully_null_rows"] = int(df.isnull().all(axis=1).sum() == 0) + + all_passed = sum(checks.values()) + for k, v in checks.items(): + report.add(f"validity__{k}", v, "validity_checks", "1=pass 0=fail") + report.add("validity_checks_passed", all_passed, "validity_checks", f"{all_passed}/{len(checks)} checks passed") + report.add("validity_checks_total", len(checks), "validity_checks", "Total validity rules evaluated") + + print("Validity checks:") + for k, v in checks.items(): + print(f' {"✓" if v else "✗"} {k}') + print(f"\n{all_passed}/{len(checks)} checks passed") + return checks + + +def check_effectiveness(df: pd.DataFrame, report: AuditReport) -> dict: + total_corrections = sum( + report.get(m) + for m in [ + "values_fixed_negative", + "values_fixed_count_vs_scheduled", + "values_fixed_delay_hierarchy", + ] + ) + total_recovered = sum( + report.get(m) + for m in [ + "values_filled_dep_late", + "values_filled_dep_all", + "values_filled_arr_late", + "values_filled_arr_all", + ] + ) + total_cells_final = df.shape[0] * df.shape[1] + correction_rate = round(total_corrections / total_cells_final, 6) + initial_null = report.get("initial_null_total") + recovery_vs_null = round(total_recovered / max(initial_null, 1), 4) + + report.add_many( + [ + {"metric": "total_corrections", "value": total_corrections, "category": "pipeline_effectiveness", "reason": "Negatives + count overflows + hierarchy violations corrected"}, + {"metric": "total_recovered_cells", "value": total_recovered, "category": "pipeline_effectiveness", "reason": "Cells recovered by algebraic derivation (all 4 delay columns)"}, + {"metric": "correction_rate_per_cell", "value": correction_rate, "category": "pipeline_effectiveness", "reason": "Corrections / total final cells — data noise density"}, + {"metric": "recovery_vs_initial_null", "value": recovery_vs_null, "category": "pipeline_effectiveness", "reason": "Recovered / initial null count — algebraic coverage"}, + ] + ) + print(f"Total corrections : {total_corrections:,}") + print(f"Total recovered : {total_recovered:,}") + print(f"Correction rate : {correction_rate:.4%} of all cells") + print( + f"Recovery vs nulls : {recovery_vs_null:.1%} of initial nulls recovered algebraically" + ) + return { + "total_corrections": total_corrections, + "total_recovered": total_recovered, + "correction_rate": correction_rate, + "recovery_vs_null": recovery_vs_null, + } From 40afb4634f6cb1681951cf2c27b7e44eb836af89 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:19:52 +0200 Subject: [PATCH 06/34] feat: add preprocessing functions for data cleaning and deduplication --- scripts/trains/cleaning/preprocessing.py | 42 ++++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 scripts/trains/cleaning/preprocessing.py diff --git a/scripts/trains/cleaning/preprocessing.py b/scripts/trains/cleaning/preprocessing.py new file mode 100644 index 0000000..d9458b1 --- /dev/null +++ b/scripts/trains/cleaning/preprocessing.py @@ -0,0 +1,42 @@ +import pandas as pd + +CRITICAL_COLS = [ + "Date", + "Service", + "Departure station", + "Arrival station", + "Number of scheduled trains", +] + +CRITICAL_COMP_COLS = [ + "Nom_Gare", + "Position géographique" +] + + +def drop_comment_columns(df: pd.DataFrame) -> tuple[pd.DataFrame, list[str]]: + comment_cols = df.filter(regex="comments$").columns.tolist() + df = df.drop(columns=comment_cols) + print(f"Dropped {len(comment_cols)} column(s): {comment_cols}") + print(f"Remaining: {df.shape[1]} columns") + return df, comment_cols + + +def deduplicate(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + nb_dup = df.duplicated().sum() + if nb_dup > 0: + df = df.drop_duplicates() + else: + print("No duplicates found.") + return df, int(nb_dup) + +def drop_critical_comp_nan(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + before = len(df) + df = df.dropna(subset=CRITICAL_COMP_COLS) + return df, before - len(df) + + +def drop_critical_nan(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + before = len(df) + df = df.dropna(subset=CRITICAL_COLS) + return df, before - len(df) From aa195e5575de534f10039babbe3bd38e98d5e253 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:19:56 +0200 Subject: [PATCH 07/34] feat: implement data processing pipeline for train datasets --- scripts/{ => trains}/pipeline.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) rename scripts/{ => trains}/pipeline.py (93%) diff --git a/scripts/pipeline.py b/scripts/trains/pipeline.py similarity index 93% rename from scripts/pipeline.py rename to scripts/trains/pipeline.py index 3a2178e..4ac2298 100644 --- a/scripts/pipeline.py +++ b/scripts/trains/pipeline.py @@ -1,18 +1,18 @@ -import scripts.audit as audit -import scripts.cleaning as cleaning -import scripts.features as features -import scripts.loading as loading -import scripts.merging as merging +import scripts.trains.audit as audit +import scripts.trains.cleaning as cleaning +import scripts.trains.features as features +import scripts.trains.loading as loading +import scripts.trains.merging as merging class Pipeline: def __init__( self, data_path: str, - output_path: str = "data/proessed/trains/cleaned_dataset.csv", - report_path: str = "data/proessed/audit/cleaning_report.csv", + output_path: str = "data/processed/trains/cleaned_dataset.csv", + report_path: str = "data/processed/audit/cleaning_report.csv", complementary_data_path: str = "data/raw/trains/gares-de-voyageurs.csv", - station_threshold: int = 80, + station_threshold: int = 80, ): self.data_path = data_path self.output_path = output_path From afa004de07ef1c57007a89a9f8774b2d785bd6ce Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:20:00 +0200 Subject: [PATCH 08/34] feat: add normalization function for label standardization --- scripts/trains/cleaning/normalization.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 scripts/trains/cleaning/normalization.py diff --git a/scripts/trains/cleaning/normalization.py b/scripts/trains/cleaning/normalization.py new file mode 100644 index 0000000..9c0274f --- /dev/null +++ b/scripts/trains/cleaning/normalization.py @@ -0,0 +1,22 @@ +import pandas as pd + +_LABEL_COLS = ["Departure station", "Arrival station", "Service"] + + +def normalize_labels(df, cols=None): + if cols is None: + cols = _LABEL_COLS + + missing = [c for c in cols if c not in df.columns] + present = [c for c in cols if c in df.columns] + + if missing: + print(f"[normalize_labels] Missing columns skipped: {missing}") + + for col in present: + df[col] = df[col].astype("string").str.strip().str.upper() + + for col in present: + print(f"Unique {col}: {df[col].nunique()}") + + return df From fd6b63cc6f1a81509758d2b21985755c50f7fd43 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:20:04 +0200 Subject: [PATCH 09/34] feat: add functions for recovering train departure and arrival delays --- scripts/trains/cleaning/nan_recovery.py | 65 +++++++++++++++++++++++++ 1 file changed, 65 insertions(+) create mode 100644 scripts/trains/cleaning/nan_recovery.py diff --git a/scripts/trains/cleaning/nan_recovery.py b/scripts/trains/cleaning/nan_recovery.py new file mode 100644 index 0000000..868f1ec --- /dev/null +++ b/scripts/trains/cleaning/nan_recovery.py @@ -0,0 +1,65 @@ +import pandas as pd + +_COL_DEP_LATE = "Average delay of late trains at departure" +_COL_DEP_ALL = "Average delay of all trains at departure" +_COL_N_DEP = "Number of trains delayed at departure" + +_COL_ARR_LATE = "Average delay of late trains at arrival" +_COL_ARR_ALL = "Average delay of all trains at arrival" +_COL_N_ARR = "Number of trains delayed at arrival" + +_COL_SCHEDULED = "Number of scheduled trains" + + +def recover_departure_delay(df: pd.DataFrame,) -> tuple[pd.DataFrame, int, int]: + mask = ( + df[_COL_DEP_LATE].isna() + & df[_COL_DEP_ALL].notna() + & (df[_COL_N_DEP] > 0) + ) + dep_late_filled = int(mask.sum()) + df.loc[mask, _COL_DEP_LATE] = ( + df.loc[mask, _COL_DEP_ALL] + * df.loc[mask, _COL_SCHEDULED] + / df.loc[mask, _COL_N_DEP] + ) + + mask = df[_COL_DEP_ALL].isna() & df[_COL_DEP_LATE].notna() & df[_COL_N_DEP].notna() + dep_all_filled = int(mask.sum()) + df.loc[mask, _COL_DEP_ALL] = ( + df.loc[mask, _COL_DEP_LATE] + * df.loc[mask, _COL_N_DEP] + / df.loc[mask, _COL_SCHEDULED] + ) + + print(f"dep_late filled from dep_all : {dep_late_filled} row(s)") + print(f"dep_all filled from dep_late : {dep_all_filled} row(s)") + return df, dep_late_filled, dep_all_filled + + +def recover_arrival_delay( + df: pd.DataFrame, +) -> tuple[pd.DataFrame, int, int]: + mask = ( + df[_COL_ARR_LATE].isna() + & df[_COL_ARR_ALL].notna() + & (df[_COL_N_ARR] > 0) + ) + arr_late_filled = int(mask.sum()) + df.loc[mask, _COL_ARR_LATE] = ( + df.loc[mask, _COL_ARR_ALL] + * df.loc[mask, _COL_SCHEDULED] + / df.loc[mask, _COL_N_ARR] + ) + + mask = df[_COL_ARR_ALL].isna() & df[_COL_ARR_LATE].notna() & df[_COL_N_ARR].notna() + arr_all_filled = int(mask.sum()) + df.loc[mask, _COL_ARR_ALL] = ( + df.loc[mask, _COL_ARR_LATE] + * df.loc[mask, _COL_N_ARR] + / df.loc[mask, _COL_SCHEDULED] + ) + + print(f"arr_late filled from arr_all : {arr_late_filled} row(s)") + print(f"arr_all filled from arr_late : {arr_all_filled} row(s)") + return df, arr_late_filled, arr_all_filled From c7a1147c35fd68a7343326c1cc2a86cbaf37eb0f Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 02:20:22 +0200 Subject: [PATCH 10/34] feat: add loading and merging functions for train datasets --- scripts/__init__.py | 35 +- scripts/audit/quality.py | 212 -- scripts/audit/tracker.py | 143 -- scripts/cleaning/nan_recovery.py | 65 - scripts/cleaning/normalization.py | 22 - scripts/cleaning/preprocessing.py | 42 - scripts/cleaning/station_clustering.py | 158 -- scripts/cleaning/type_conversion.py | 47 - scripts/merging/__init__.py | 5 - scripts/meteo/__init__.py | 0 scripts/trains/__init__.py | 24 + scripts/{ => trains}/audit/__init__.py | 4 +- scripts/{ => trains}/cleaning/__init__.py | 14 +- scripts/{ => trains}/cleaning/corrections.py | 0 scripts/{ => trains}/features.py | 0 scripts/{ => trains}/loading.py | 0 scripts/trains/merging/__init__.py | 5 + .../{ => trains}/merging/merging_trains.py | 0 .../{ => trains}/visualization/__init__.py | 4 +- .../visualization/cleaning_plots.py | 0 .../{ => trains}/visualization/eda_plots.py | 0 tardis_eda.ipynb | 1989 +++++++++++++++-- 22 files changed, 1814 insertions(+), 955 deletions(-) delete mode 100644 scripts/audit/quality.py delete mode 100644 scripts/audit/tracker.py delete mode 100644 scripts/cleaning/nan_recovery.py delete mode 100644 scripts/cleaning/normalization.py delete mode 100644 scripts/cleaning/preprocessing.py delete mode 100644 scripts/cleaning/station_clustering.py delete mode 100644 scripts/cleaning/type_conversion.py delete mode 100644 scripts/merging/__init__.py create mode 100644 scripts/meteo/__init__.py create mode 100644 scripts/trains/__init__.py rename scripts/{ => trains}/audit/__init__.py (74%) rename scripts/{ => trains}/cleaning/__init__.py (60%) rename scripts/{ => trains}/cleaning/corrections.py (100%) rename scripts/{ => trains}/features.py (100%) rename scripts/{ => trains}/loading.py (100%) create mode 100644 scripts/trains/merging/__init__.py rename scripts/{ => trains}/merging/merging_trains.py (100%) rename scripts/{ => trains}/visualization/__init__.py (90%) rename scripts/{ => trains}/visualization/cleaning_plots.py (100%) rename scripts/{ => trains}/visualization/eda_plots.py (100%) diff --git a/scripts/__init__.py b/scripts/__init__.py index 1b8e347..9b42c14 100644 --- a/scripts/__init__.py +++ b/scripts/__init__.py @@ -1,19 +1,22 @@ -from scripts.features import ( - add_cancellation_rate, - add_delay_category, - add_punctuality_rate, - add_season, - add_time_features, -) -from scripts.loading import load_data -from scripts.pipeline import Pipeline +from . import trains, meteo + +cleaning = trains.cleaning +audit = trains.audit +merging = trains.merging +visualization = trains.visualization +features = trains.features +loading = trains.loading +pipeline = trains.pipeline __all__ = [ - "Pipeline", - "load_data", - "add_time_features", - "add_season", - "add_delay_category", - "add_cancellation_rate", - "add_punctuality_rate", + "trains", + "meteo", + "cleaning", + "audit", + "merging", + "visualization", + "features", + "loading", + "pipeline", ] + diff --git a/scripts/audit/quality.py b/scripts/audit/quality.py deleted file mode 100644 index 1c1acaa..0000000 --- a/scripts/audit/quality.py +++ /dev/null @@ -1,212 +0,0 @@ -from __future__ import annotations - -import pandas as pd - -from scripts.audit.tracker import AuditReport - -_DEFAULT_DIST_COLS = [ - "Number of scheduled trains", - "Average delay of all trains at arrival", - "Average delay of all trains at departure", - "Average delay of late trains at arrival", - "Average delay of late trains at departure", - "cancellation_rate", - "punctuality_rate", - "Average journey time", - "Pct delay due to external causes", - "Pct delay due to infrastructure", - "Pct delay due to traffic management", - "Pct delay due to rolling stock", -] - - -def check_completeness(df: pd.DataFrame, report: AuditReport) -> float: - total_cells = df.shape[0] * df.shape[1] - null_cells = int(df.isnull().sum().sum()) - completeness = round(1 - null_cells / total_cells, 4) - col_completeness = (1 - df.isnull().mean()).sort_values() - - report.add("overall_completeness", completeness, "quality_score", "Non-null cells / total cells (1.0 = fully complete)") - for col in df.columns: - rate = round(float(1 - df[col].isnull().mean()), 4) - report.add(f"completeness__{col}", rate, "completeness_per_column", col) - - print( - f"Overall completeness : {completeness:.2%}" - f" ({total_cells - null_cells:,} / {total_cells:,} cells non-null)" - ) - print("\nLeast complete columns:") - for col, rate in col_completeness.head(5).items(): - bar = "░" * int((1 - rate) * 30) - print(f" {rate:>6.1%} {bar} {col}") - print("\nMost complete columns:") - for col, rate in col_completeness.tail(5).items(): - print(f" {rate:>6.1%} {col}") - return completeness - - -def check_distributions( - df: pd.DataFrame, - report: AuditReport, - dist_cols: list[str] | None = None, -) -> pd.DataFrame: - if dist_cols is None: - dist_cols = _DEFAULT_DIST_COLS - - stat_rows = [] - for col in dist_cols: - if col not in df.columns: - continue - s = df[col].dropna() - if s.empty: - continue - row = { - "column": col, - "n": len(s), - "mean": round(float(s.mean()), 3), - "std": round(float(s.std()), 3), - "min": round(float(s.min()), 3), - "p25": round(float(s.quantile(0.25)), 3), - "median": round(float(s.median()), 3), - "p75": round(float(s.quantile(0.75)), 3), - "max": round(float(s.max()), 3), - } - stat_rows.append(row) - for stat, val in row.items(): - if stat == "column": - continue - report.add(f"dist__{col}__{stat}", val, "numeric_distribution", col) - - stats_df = pd.DataFrame(stat_rows).set_index("column") - print(stats_df.to_string()) - return stats_df - - -def check_outliers( - df: pd.DataFrame, report: AuditReport -) -> list[tuple[str, int, float]]: - outlier_cols = [ - c - for c in df.select_dtypes(include="number").columns - if c not in ("year", "month") - ] - outlier_rows: list[tuple[str, int, float]] = [] - - for col in outlier_cols: - s = df[col].dropna() - if len(s) < 10 or s.std() == 0: - continue - z = (s - s.mean()) / s.std() - n_out = int((z.abs() > 3).sum()) - rate = round(n_out / len(df), 4) - outlier_rows.append((col, n_out, rate)) - report.add( - f"outlier_rate__{col}", - rate, - "outlier_analysis", - f"{n_out} values |z|>3 out of {len(df)} rows", - ) - - outlier_rows.sort(key=lambda x: -x[2]) - print(f'{"Column":<58} {"N outliers":>10} {"Rate":>7}') - print("─" * 82) - for col, n, rate in outlier_rows: - bar = "█" * min(int(rate * 300), 30) - print(f"{col:<58} {n:>10,} {rate:>6.2%} {bar}") - return outlier_rows - - -def check_validity(df: pd.DataFrame, report: AuditReport) -> dict[str, int]: - checks: dict[str, int] = {} - - checks["cancellation_rate_in_0_1"] = int( - df["cancellation_rate"].dropna().between(0, 1).all() - ) - checks["punctuality_rate_in_0_1"] = int( - df["punctuality_rate"].dropna().between(0, 1).all() - ) - checks["no_negative_scheduled"] = int( - (df["Number of scheduled trains"].dropna() >= 0).all() - ) - - hier_pairs = [ - ("Number of trains delayed > 15min", "Number of trains delayed > 30min"), - ("Number of trains delayed > 30min", "Number of trains delayed > 60min"), - ] - for col_lo, col_hi in hier_pairs: - both = df[[col_lo, col_hi]].dropna() - key = ( - f'hierarchy_{col_lo.split(">")[1].strip().replace(" ", "")}' - f'_{col_hi.split(">")[1].strip().replace(" ", "")}' - ) - checks[key] = int((both.iloc[:, 0] >= both.iloc[:, 1]).all()) - - pct_cols = [c for c in df.columns if c.startswith("Pct delay due to")] - if pct_cols: - row_pct_sum = df[pct_cols].sum(axis=1, skipna=True) - checks["pct_delay_sum_le_105"] = int((row_pct_sum.dropna() <= 105).all()) - - checks["date_range_sane"] = int( - (df["Date"] >= "2015-01-01").all() and (df["Date"] <= "2026-12-31").all() - ) - checks["service_only_2_values"] = int( - df["Service"].dropna().isin(["NATIONAL", "INTERNATIONAL"]).all() - ) - checks["no_fully_null_rows"] = int(df.isnull().all(axis=1).sum() == 0) - - all_passed = sum(checks.values()) - for k, v in checks.items(): - report.add(f"validity__{k}", v, "validity_checks", "1=pass 0=fail") - report.add("validity_checks_passed", all_passed, "validity_checks", f"{all_passed}/{len(checks)} checks passed") - report.add("validity_checks_total", len(checks), "validity_checks", "Total validity rules evaluated") - - print("Validity checks:") - for k, v in checks.items(): - print(f' {"✓" if v else "✗"} {k}') - print(f"\n{all_passed}/{len(checks)} checks passed") - return checks - - -def check_effectiveness(df: pd.DataFrame, report: AuditReport) -> dict: - total_corrections = sum( - report.get(m) - for m in [ - "values_fixed_negative", - "values_fixed_count_vs_scheduled", - "values_fixed_delay_hierarchy", - ] - ) - total_recovered = sum( - report.get(m) - for m in [ - "values_filled_dep_late", - "values_filled_dep_all", - "values_filled_arr_late", - "values_filled_arr_all", - ] - ) - total_cells_final = df.shape[0] * df.shape[1] - correction_rate = round(total_corrections / total_cells_final, 6) - initial_null = report.get("initial_null_total") - recovery_vs_null = round(total_recovered / max(initial_null, 1), 4) - - report.add_many( - [ - {"metric": "total_corrections", "value": total_corrections, "category": "pipeline_effectiveness", "reason": "Negatives + count overflows + hierarchy violations corrected"}, - {"metric": "total_recovered_cells", "value": total_recovered, "category": "pipeline_effectiveness", "reason": "Cells recovered by algebraic derivation (all 4 delay columns)"}, - {"metric": "correction_rate_per_cell", "value": correction_rate, "category": "pipeline_effectiveness", "reason": "Corrections / total final cells — data noise density"}, - {"metric": "recovery_vs_initial_null", "value": recovery_vs_null, "category": "pipeline_effectiveness", "reason": "Recovered / initial null count — algebraic coverage"}, - ] - ) - print(f"Total corrections : {total_corrections:,}") - print(f"Total recovered : {total_recovered:,}") - print(f"Correction rate : {correction_rate:.4%} of all cells") - print( - f"Recovery vs nulls : {recovery_vs_null:.1%} of initial nulls recovered algebraically" - ) - return { - "total_corrections": total_corrections, - "total_recovered": total_recovered, - "correction_rate": correction_rate, - "recovery_vs_null": recovery_vs_null, - } diff --git a/scripts/audit/tracker.py b/scripts/audit/tracker.py deleted file mode 100644 index 76427b2..0000000 --- a/scripts/audit/tracker.py +++ /dev/null @@ -1,143 +0,0 @@ -import pandas as pd - - -class AuditReport: - def __init__(self) -> None: - self._entries: list[dict] = [] - - def add(self, metric: str, value, category: str, reason: str) -> None: - self._entries.append( - {"metric": metric, "value": value, "category": category, "reason": reason} - ) - - def add_many(self, entries: list[dict]) -> None: - self._entries.extend(entries) - - def get(self, metric: str): - for entry in self._entries: - if entry["metric"] == metric: - return entry["value"] - raise KeyError(f"Metric not found: {metric!r}") - - def record_initial_state(self, df: pd.DataFrame) -> None: - initial_null_total = df.isnull().sum().sum() - perfect_rows = df.dropna().shape[0] - perfect_cols = df.dropna(axis=1).shape[1] - nb_rows = df.shape[0] - - self.add_many( - [ - {"metric": "initial_rows", "value": df.shape[0], "category": "initial_state", "reason": "Raw dataset before any cleaning"}, - {"metric": "initial_columns", "value": df.shape[1], "category": "initial_state", "reason": "Raw dataset before any cleaning"}, - {"metric": "initial_null_total", "value": int(initial_null_total), "category": "initial_state", "reason": "Total missing values across all cells"}, - {"metric": "perfect_rows", "value": perfect_rows, "category": "initial_state", "reason": "Rows with zero NaN — no cleaning needed"}, - {"metric": "rows_lost_if_strict_dropna", "value": nb_rows - perfect_rows, "category": "initial_state", "reason": "Rows lost with a strict zero-NaN policy"}, - {"metric": "perfect_columns", "value": perfect_cols, "category": "initial_state", "reason": "Columns with zero NaN"}, - {"metric": "cols_lost_if_strict_dropna", "value": df.shape[1] - perfect_cols, "category": "initial_state", "reason": "Columns lost with a strict zero-NaN policy"}, - ] - ) - for col in df.columns: - self.add(f"initial_null__{col}", int(df[col].isnull().sum()), "initial_null_per_column", col) - - def record_comment_cols(self, comment_cols: list[str]) -> None: - for col in comment_cols: - self.add("column_dropped", col, "cleaning", "Irrelevant data — free text comment column") - self.add("columns_dropped_total", len(comment_cols), "cleaning", "Irrelevant data — free text columns removed") - - def record_duplicates(self, nb_dup: int) -> None: - self.add("rows_dropped_duplicates", int(nb_dup), "cleaning", "Duplicate rows — same observation counted more than once") - - def record_critical_nan(self, crit_dropped: int) -> None: - self.add("rows_dropped_critical_nan", crit_dropped, "cleaning", "Unusable for analysis — missing key identifiers (CRITICAL_COLS)") - - def record_station_clustering(self, stats: dict, station_columns: list[str]) -> None: - self.add_many( - [ - {"metric": "stationclusters_total", "value": stats["total"], "category": "station_clustering", "reason": "Unique canonical station names after fuzzy deduplication"}, - {"metric": "stationclusters_with_merge", "value": stats["merged"], "category": "station_clustering", "reason": "Canonical names that absorbed at least one spelling variant"}, - {"metric": "station_variants_merged", "value": stats["variants"], "category": "station_clustering", "reason": "Non-canonical spellings unified into a canonical form"}, - {"metric": "station_fuzzy_threshold", "value": stats["threshold"], "category": "station_clustering", "reason": "token_sort_ratio threshold used for fuzzy matching"}, - {"metric": "station_columns_processed", "value": len(station_columns), "category": "station_clustering", "reason": "Number of station-type columns processed"}, - ] - ) - - def record_delay_recovery(self, dep_late: int, dep_all: int, arr_late: int, arr_all: int) -> None: - self.add_many( - [ - {"metric": "values_filled_dep_late", "value": dep_late, "category": "data_recovery", "reason": "Computed from average departure delay + scheduled/delayed counts"}, - {"metric": "values_filled_dep_all", "value": dep_all, "category": "data_recovery", "reason": "Computed from late-train departure delay + delayed/scheduled counts"}, - {"metric": "values_filled_arr_late", "value": arr_late, "category": "data_recovery", "reason": "Computed from average arrival delay + scheduled/delayed counts"}, - {"metric": "values_filled_arr_all", "value": arr_all, "category": "data_recovery", "reason": "Computed from late-train arrival delay + delayed/scheduled counts"}, - ] - ) - - def record_recovery_summary(self, df: pd.DataFrame) -> None: - null_post_recovery = int(df.isnull().sum().sum()) - initial_null = self.get("initial_null_total") - algebraic_total = sum( - self.get(m) - for m in [ - "values_filled_dep_late", - "values_filled_dep_all", - "values_filled_arr_late", - "values_filled_arr_all", - ] - ) - algebraic_recovery_rate = round(algebraic_total / max(initial_null, 1), 4) - self.add_many( - [ - {"metric": "null_post_recovery", "value": null_post_recovery, "category": "recovery_summary", "reason": "Remaining nulls after algebraic recovery (steps 4.6–4.7)"}, - {"metric": "null_recovered_algebraic", "value": algebraic_total, "category": "recovery_summary", "reason": "Total cells recovered via algebraic derivation"}, - {"metric": "algebraic_recovery_rate", "value": algebraic_recovery_rate, "category": "recovery_summary", "reason": "Recovered / initial_null_total — algebraic coverage of initial nulls"}, - ] - ) - print(f"Nulls post recovery : {null_post_recovery}") - print(f"Recovered algebraic : {algebraic_total}") - print(f"Algebraic coverage : {algebraic_recovery_rate:.1%} of initial nulls") - - def record_pipeline_summary( - self, - df: pd.DataFrame, - original_rows: int, - original_col_count: int, - cols_after_comment_drop: int, - ) -> None: - row_retention = round(len(df) / original_rows, 4) - rows_lost_dedup = self.get("rows_dropped_duplicates") - rows_lost_crit = self.get("rows_dropped_critical_nan") - cols_added = df.shape[1] - cols_after_comment_drop - - self.add_many( - [ - {"metric": "row_retention_rate", "value": row_retention, "category": "pipeline_summary", "reason": "Fraction of original rows kept (higher = more data preserved)"}, - {"metric": "pct_rows_lost_dedup", "value": round(rows_lost_dedup / original_rows, 4), "category": "pipeline_summary", "reason": "Fraction of rows lost to exact deduplication"}, - {"metric": "pct_rows_lost_critical_nan", "value": round(rows_lost_crit / original_rows, 4), "category": "pipeline_summary", "reason": "Fraction of rows lost to missing critical identifiers"}, - {"metric": "cols_added_feature_eng", "value": cols_added, "category": "pipeline_summary", "reason": "Net columns added by feature engineering (year, month, season, etc.)"}, - ] - ) - - def record_corrections(self, neg_fixed: int, overflow_fixed: int, hier_fixed: int) -> None: - self.add("values_fixed_negative", neg_fixed, "data_correction", "Impossible negative count values — replaced by route-level median") - self.add("values_fixed_count_vs_scheduled", overflow_fixed, "data_correction", "Counts exceeding scheduled trains — logically impossible") - self.add("values_fixed_delay_hierarchy", hier_fixed, "data_correction", "Delay hierarchy violation — higher threshold exceeded lower threshold") - - def record_final_state(self, df: pd.DataFrame, original_rows: int) -> None: - self.add_many( - [ - {"metric": "final_rows", "value": len(df), "category": "final_state", "reason": "Rows after full cleaning pipeline"}, - {"metric": "final_columns", "value": len(df.columns), "category": "final_state", "reason": "Columns after cleaning + feature engineering"}, - {"metric": "final_null_total", "value": int(df.isnull().sum().sum()), "category": "final_state", "reason": "Intentionally kept null — non-derivable columns"}, - {"metric": "total_rows_removed", "value": original_rows - len(df), "category": "final_state", "reason": "Total rows removed across all cleaning steps"}, - ] - ) - - def to_dataframe(self) -> pd.DataFrame: - return pd.DataFrame( - self._entries, columns=["metric", "value", "category", "reason"] - ) - - def export(self, path: str) -> None: - df = self.to_dataframe() - df.to_csv(path, index=False) - print(f"Report saved: {len(df)} entries → {path}") - print(df["category"].value_counts().to_string()) diff --git a/scripts/cleaning/nan_recovery.py b/scripts/cleaning/nan_recovery.py deleted file mode 100644 index 868f1ec..0000000 --- a/scripts/cleaning/nan_recovery.py +++ /dev/null @@ -1,65 +0,0 @@ -import pandas as pd - -_COL_DEP_LATE = "Average delay of late trains at departure" -_COL_DEP_ALL = "Average delay of all trains at departure" -_COL_N_DEP = "Number of trains delayed at departure" - -_COL_ARR_LATE = "Average delay of late trains at arrival" -_COL_ARR_ALL = "Average delay of all trains at arrival" -_COL_N_ARR = "Number of trains delayed at arrival" - -_COL_SCHEDULED = "Number of scheduled trains" - - -def recover_departure_delay(df: pd.DataFrame,) -> tuple[pd.DataFrame, int, int]: - mask = ( - df[_COL_DEP_LATE].isna() - & df[_COL_DEP_ALL].notna() - & (df[_COL_N_DEP] > 0) - ) - dep_late_filled = int(mask.sum()) - df.loc[mask, _COL_DEP_LATE] = ( - df.loc[mask, _COL_DEP_ALL] - * df.loc[mask, _COL_SCHEDULED] - / df.loc[mask, _COL_N_DEP] - ) - - mask = df[_COL_DEP_ALL].isna() & df[_COL_DEP_LATE].notna() & df[_COL_N_DEP].notna() - dep_all_filled = int(mask.sum()) - df.loc[mask, _COL_DEP_ALL] = ( - df.loc[mask, _COL_DEP_LATE] - * df.loc[mask, _COL_N_DEP] - / df.loc[mask, _COL_SCHEDULED] - ) - - print(f"dep_late filled from dep_all : {dep_late_filled} row(s)") - print(f"dep_all filled from dep_late : {dep_all_filled} row(s)") - return df, dep_late_filled, dep_all_filled - - -def recover_arrival_delay( - df: pd.DataFrame, -) -> tuple[pd.DataFrame, int, int]: - mask = ( - df[_COL_ARR_LATE].isna() - & df[_COL_ARR_ALL].notna() - & (df[_COL_N_ARR] > 0) - ) - arr_late_filled = int(mask.sum()) - df.loc[mask, _COL_ARR_LATE] = ( - df.loc[mask, _COL_ARR_ALL] - * df.loc[mask, _COL_SCHEDULED] - / df.loc[mask, _COL_N_ARR] - ) - - mask = df[_COL_ARR_ALL].isna() & df[_COL_ARR_LATE].notna() & df[_COL_N_ARR].notna() - arr_all_filled = int(mask.sum()) - df.loc[mask, _COL_ARR_ALL] = ( - df.loc[mask, _COL_ARR_LATE] - * df.loc[mask, _COL_N_ARR] - / df.loc[mask, _COL_SCHEDULED] - ) - - print(f"arr_late filled from arr_all : {arr_late_filled} row(s)") - print(f"arr_all filled from arr_late : {arr_all_filled} row(s)") - return df, arr_late_filled, arr_all_filled diff --git a/scripts/cleaning/normalization.py b/scripts/cleaning/normalization.py deleted file mode 100644 index 9c0274f..0000000 --- a/scripts/cleaning/normalization.py +++ /dev/null @@ -1,22 +0,0 @@ -import pandas as pd - -_LABEL_COLS = ["Departure station", "Arrival station", "Service"] - - -def normalize_labels(df, cols=None): - if cols is None: - cols = _LABEL_COLS - - missing = [c for c in cols if c not in df.columns] - present = [c for c in cols if c in df.columns] - - if missing: - print(f"[normalize_labels] Missing columns skipped: {missing}") - - for col in present: - df[col] = df[col].astype("string").str.strip().str.upper() - - for col in present: - print(f"Unique {col}: {df[col].nunique()}") - - return df diff --git a/scripts/cleaning/preprocessing.py b/scripts/cleaning/preprocessing.py deleted file mode 100644 index d9458b1..0000000 --- a/scripts/cleaning/preprocessing.py +++ /dev/null @@ -1,42 +0,0 @@ -import pandas as pd - -CRITICAL_COLS = [ - "Date", - "Service", - "Departure station", - "Arrival station", - "Number of scheduled trains", -] - -CRITICAL_COMP_COLS = [ - "Nom_Gare", - "Position géographique" -] - - -def drop_comment_columns(df: pd.DataFrame) -> tuple[pd.DataFrame, list[str]]: - comment_cols = df.filter(regex="comments$").columns.tolist() - df = df.drop(columns=comment_cols) - print(f"Dropped {len(comment_cols)} column(s): {comment_cols}") - print(f"Remaining: {df.shape[1]} columns") - return df, comment_cols - - -def deduplicate(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: - nb_dup = df.duplicated().sum() - if nb_dup > 0: - df = df.drop_duplicates() - else: - print("No duplicates found.") - return df, int(nb_dup) - -def drop_critical_comp_nan(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: - before = len(df) - df = df.dropna(subset=CRITICAL_COMP_COLS) - return df, before - len(df) - - -def drop_critical_nan(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: - before = len(df) - df = df.dropna(subset=CRITICAL_COLS) - return df, before - len(df) diff --git a/scripts/cleaning/station_clustering.py b/scripts/cleaning/station_clustering.py deleted file mode 100644 index ffeacce..0000000 --- a/scripts/cleaning/station_clustering.py +++ /dev/null @@ -1,158 +0,0 @@ -import re -from collections import Counter - -import pandas as pd - -_CONFUSABLES = str.maketrans( - { - "1": "I", - "3": "E", - "4": "A", - "5": "S", - "8": "B", - "@": "A", - "'": "", - "`": "", - "-": "", - } -) -_ABBREV = {"ST ": "SAINT "} -_INVALID = {"", "0", "NAN", "NONE", "NULL", "N/A", "NA"} -DEFAULT_THRESHOLD = 80 - - -class StationClusterer: - def __init__(self, threshold: int = DEFAULT_THRESHOLD, unique_ratio_threshold: float = 0.1): - self.threshold = threshold - self.unique_ratio_threshold = unique_ratio_threshold - self.clusters: dict[str, list[str]] = {} - - def fit_transform( - self, df: pd.DataFrame - ) -> tuple[pd.DataFrame, list[str], dict]: - station_columns = self._detect_station_columns(df, self.unique_ratio_threshold) - print(f"Station-like columns detected: {station_columns}") - - all_values: list[str] = [] - for col in station_columns: - all_values.extend(df[col].astype(str).tolist()) - - cleaned_of_raw: dict[str, str] = {} - valid_cleaned: list[str] = [] - for raw in all_values: - cleaned = self._preprocess(raw) - cleaned_of_raw[raw] = cleaned - if cleaned not in _INVALID: - valid_cleaned.append(cleaned) - - counts = Counter(valid_cleaned) - unique = list(counts.keys()) - parent = {v: v for v in unique} - - for i, a in enumerate(unique): - for b in unique[i + 1 :]: - if self._tok_sort_ratio(a, b) < self.threshold: - continue - ra = self._find_root(parent, a) - rb = self._find_root(parent, b) - if ra == rb: - continue - if counts[ra] >= counts[rb]: - parent[rb] = ra - else: - parent[ra] = rb - - root_to_members: dict[str, list[str]] = {} - for v in unique: - r = self._find_root(parent, v) - root_to_members.setdefault(r, []).append(v) - - canonical_of: dict[str, str] = {} - for members in root_to_members.values(): - canonical = max(members, key=lambda x: counts[x]) - for member in members: - canonical_of[member] = canonical - - mapping = { - raw: canonical_of.get(cleaned_of_raw.get(raw, ""), raw) - for raw in all_values - } - - for col in station_columns: - df[col] = df[col].astype(str).map(mapping) - - self.clusters = {} - for raw, canon in mapping.items(): - self.clusters.setdefault(canon, []).append(raw) - - stats = { - "total": len(root_to_members), - "merged": sum(1 for m in root_to_members.values() if len(m) > 1), - "variants": sum( - len(m) - 1 for m in root_to_members.values() if len(m) > 1 - ), - "threshold": self.threshold, - "columns": len(station_columns), - } - return df, station_columns, stats - - def print_merges(self) -> None: - for canon, variants in sorted( - self.clusters.items(), key=lambda x: str(x[0]) - ): - if len(variants) > 1: - print(f"\n{canon}") - for v in sorted(variants, key=str): - prefix = " " if v == canon else "↳ " - print(f" {prefix}{v!r}") - - @staticmethod - def _detect_station_columns(df: pd.DataFrame, unique_ratio_threshold: float = 0.1) -> list[str]: - keywords = ("station", "departure", "arrival", "gare", "origine", "destination", "nom_gare", "gare") - station_columns = [] - for col in df.columns: - if not any(kw in col.lower() for kw in keywords): - continue - if not pd.api.types.is_string_dtype(df[col]): - continue - sample = df[col].dropna().astype(str) - if sample.empty: - continue - avg_len = sample.str.len().mean() - digit_ratio = sample.str.count(r"\d").sum() / max( - sample.str.len().sum(), 1 - ) - unique_ratio = df[col].nunique() / max(len(df[col]), 1) - if ( - avg_len < 50 - and digit_ratio < 0.05 - and unique_ratio < unique_ratio_threshold - and df[col].nunique() >= 5 - ): - station_columns.append(col) - return station_columns - - @staticmethod - def _preprocess(raw: str) -> str: - cleaned = str(raw).strip().upper().translate(_CONFUSABLES) - cleaned = re.sub(r"\s+", " ", cleaned).strip() - for abbr, full in _ABBREV.items(): - cleaned = cleaned.replace(abbr, full) - return cleaned - - @staticmethod - def _tok_sort_ratio(a: str, b: str) -> int: - a_s = " ".join(sorted(a.split())) - b_s = " ".join(sorted(b.split())) - t = len(a_s) + len(b_s) - if t == 0: - return 100 - common = sum((Counter(a_s) & Counter(b_s)).values()) - return int(200 * common / t) - - @staticmethod - def _find_root(parent: dict, v: str) -> str: - while parent[v] != v: - parent[v] = parent[parent[v]] - v = parent[v] - return v diff --git a/scripts/cleaning/type_conversion.py b/scripts/cleaning/type_conversion.py deleted file mode 100644 index d2eed91..0000000 --- a/scripts/cleaning/type_conversion.py +++ /dev/null @@ -1,47 +0,0 @@ -import pandas as pd - -_TEXT_COLS = ["Date", "Service", "Departure station", "Arrival station", "Nom_Gare", "Trigramme", "Segment(s) DRG", "Id_Gare", "Code_UIC", "Position géographique"] - -_STR_COLS = ["Service", "Departure station", "Arrival station", "Nom_Gare", "Trigramme", "Segment(s) DRG", "Id_Gare", "Code_UIC", "Position géographique"] - -def parse_dates(df: pd.DataFrame, col: str = "Date") -> pd.DataFrame: - df[col] = pd.to_datetime(df[col], format="mixed") - print(f"dtype : {df[col].dtype}") - print(f"Range : {df[col].min().date()} → {df[col].max().date()}") - return df - - -def convert_numerics( - df: pd.DataFrame, text_cols: list[str] | None = None -) -> pd.DataFrame: - if text_cols is None: - text_cols = _TEXT_COLS - numeric_cols = [c for c in df.columns if c not in text_cols] - - for col in numeric_cols: - if df[col].dtype == object: - df[col] = df[col].str.strip().str.replace(",", ".") - df[col] = pd.to_numeric(df[col], errors="coerce") - - still_object = [c for c in numeric_cols if df[c].dtype == object] - if still_object: - print(f"WARNING — still object after conversion: {still_object}") - else: - print(f"All {len(numeric_cols)} numeric columns successfully converted.") - return df - - -def cast_string_columns( - df: pd.DataFrame, str_cols: list[str] | None = None -) -> pd.DataFrame: - if str_cols is None: - str_cols = _STR_COLS - str_cols = [col for col in str_cols if col in df.columns] - if str_cols: - df[str_cols] = df[str_cols].astype("string") - for col in ("Code_UIC", "Segment(s) DRG"): - if col in df.columns: - df[col] = df[col].str.split(";").str[0].str.strip().astype("string") - print("Dtypes after cast:") - print(df[str_cols].dtypes.to_string()) - return df diff --git a/scripts/merging/__init__.py b/scripts/merging/__init__.py deleted file mode 100644 index b0df781..0000000 --- a/scripts/merging/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from scripts.merging.merging_trains import (merge_trains) - -__all__ = [ - "merge_trains", -] \ No newline at end of file diff --git a/scripts/meteo/__init__.py b/scripts/meteo/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/scripts/trains/__init__.py b/scripts/trains/__init__.py new file mode 100644 index 0000000..d621b07 --- /dev/null +++ b/scripts/trains/__init__.py @@ -0,0 +1,24 @@ +from . import cleaning, audit, merging, visualization +from .features import ( + add_cancellation_rate, + add_delay_category, + add_punctuality_rate, + add_season, + add_time_features, +) +from .loading import load_data +from .pipeline import Pipeline + +__all__ = [ + "cleaning", + "audit", + "merging", + "visualization", + "Pipeline", + "load_data", + "add_time_features", + "add_season", + "add_delay_category", + "add_cancellation_rate", + "add_punctuality_rate", +] diff --git a/scripts/audit/__init__.py b/scripts/trains/audit/__init__.py similarity index 74% rename from scripts/audit/__init__.py rename to scripts/trains/audit/__init__.py index e92c406..db5a3ae 100644 --- a/scripts/audit/__init__.py +++ b/scripts/trains/audit/__init__.py @@ -1,11 +1,11 @@ -from scripts.audit.quality import ( +from scripts.trains.audit.quality import ( check_completeness, check_distributions, check_effectiveness, check_outliers, check_validity, ) -from scripts.audit.tracker import AuditReport +from scripts.trains.audit.tracker import AuditReport __all__ = [ "AuditReport", diff --git a/scripts/cleaning/__init__.py b/scripts/trains/cleaning/__init__.py similarity index 60% rename from scripts/cleaning/__init__.py rename to scripts/trains/cleaning/__init__.py index de514bf..cada3fa 100644 --- a/scripts/cleaning/__init__.py +++ b/scripts/trains/cleaning/__init__.py @@ -1,21 +1,21 @@ -from scripts.cleaning.corrections import ( +from scripts.trains.cleaning.corrections import ( fix_count_overflow, fix_delay_hierarchy, fix_negative_counts, recompute_rates, ) -from scripts.cleaning.nan_recovery import recover_arrival_delay, recover_departure_delay -from scripts.cleaning.normalization import normalize_labels -from scripts.cleaning.preprocessing import ( +from scripts.trains.cleaning.nan_recovery import recover_arrival_delay, recover_departure_delay +from scripts.trains.cleaning.normalization import normalize_labels +from scripts.trains.cleaning.preprocessing import ( CRITICAL_COLS, deduplicate, drop_comment_columns, drop_critical_nan, CRITICAL_COMP_COLS, ) -from scripts.cleaning.preprocessing import drop_critical_comp_nan -from scripts.cleaning.station_clustering import StationClusterer -from scripts.cleaning.type_conversion import ( +from scripts.trains.cleaning.preprocessing import drop_critical_comp_nan +from scripts.trains.cleaning.station_clustering import StationClusterer +from scripts.trains.cleaning.type_conversion import ( cast_string_columns, convert_numerics, parse_dates, diff --git a/scripts/cleaning/corrections.py b/scripts/trains/cleaning/corrections.py similarity index 100% rename from scripts/cleaning/corrections.py rename to scripts/trains/cleaning/corrections.py diff --git a/scripts/features.py b/scripts/trains/features.py similarity index 100% rename from scripts/features.py rename to scripts/trains/features.py diff --git a/scripts/loading.py b/scripts/trains/loading.py similarity index 100% rename from scripts/loading.py rename to scripts/trains/loading.py diff --git a/scripts/trains/merging/__init__.py b/scripts/trains/merging/__init__.py new file mode 100644 index 0000000..fcfb700 --- /dev/null +++ b/scripts/trains/merging/__init__.py @@ -0,0 +1,5 @@ +from scripts.trains.merging.merging_trains import merge_trains + +__all__ = [ + "merge_trains", +] \ No newline at end of file diff --git a/scripts/merging/merging_trains.py b/scripts/trains/merging/merging_trains.py similarity index 100% rename from scripts/merging/merging_trains.py rename to scripts/trains/merging/merging_trains.py diff --git a/scripts/visualization/__init__.py b/scripts/trains/visualization/__init__.py similarity index 90% rename from scripts/visualization/__init__.py rename to scripts/trains/visualization/__init__.py index 8da1f3a..1b15541 100644 --- a/scripts/visualization/__init__.py +++ b/scripts/trains/visualization/__init__.py @@ -1,4 +1,4 @@ -from scripts.visualization.cleaning_plots import ( +from scripts.trains.visualization.cleaning_plots import ( plot_algebraic_recovery, plot_corrections, plot_critical_nan_drop, @@ -10,7 +10,7 @@ plot_station_clustering, plot_validity_checks, ) -from scripts.visualization.eda_plots import ( +from scripts.trains.visualization.eda_plots import ( plot_cancellation_by_service, plot_correlation_matrix, plot_delay_categories, diff --git a/scripts/visualization/cleaning_plots.py b/scripts/trains/visualization/cleaning_plots.py similarity index 100% rename from scripts/visualization/cleaning_plots.py rename to scripts/trains/visualization/cleaning_plots.py diff --git a/scripts/visualization/eda_plots.py b/scripts/trains/visualization/eda_plots.py similarity index 100% rename from scripts/visualization/eda_plots.py rename to scripts/trains/visualization/eda_plots.py diff --git a/tardis_eda.ipynb b/tardis_eda.ipynb index 9a4db4e..b42d29d 100644 --- a/tardis_eda.ipynb +++ b/tardis_eda.ipynb @@ -83,26 +83,21 @@ { "metadata": {}, "cell_type": "markdown", - "source": "### 1. Imports\n\n#### External libraries\n\n| Library | Role in this notebook |\n|--------|-----------------------|\n| `pandas` | Dataframe manipulation and CSV I/O |\n| `matplotlib` | Base rendering engine for plots |\n| `seaborn` | Statistical visualisations (boxplots, heatmaps) |\n| `huggingface_hub` | Automatic data download from the HuggingFace repository |\n| `pathlib.Path` | Check folder existence before downloading |\n\n#### Internal modules (`scripts/`)\n\nAll pipeline logic is encapsulated in dedicated modules. This notebook is purely an orchestrator: it calls these modules in the correct order, displays intermediate results, and produces visualisations.\n\n| Module | Role |\n|--------|------|\n| `scripts.loading` | Read raw CSVs and create frozen copies |\n| `scripts.cleaning` | All cleaning transformations (dedup, NaN, types, labels, clustering, corrections) |\n| `scripts.features` | Add derived columns (year, month, season, categories, rates) |\n| `scripts.audit` | Compute and record quality metrics |\n| `scripts.visualization.cleaning_plots` | Charts related to the cleaning pipeline |\n| `scripts.visualization.eda_plots` | Exploratory data analysis charts |\n\n> No third-party fuzzy matching library is used — the similarity scoring (`tok_sort_ratio`) is implemented from scratch using Python's standard library `Counter`.", + "source": "### 1. Imports\n\n#### External libraries\n\n| Library | Role in this notebook |\n|--------|-----------------------|\n| `pandas` | Dataframe manipulation and CSV I/O |\n| `matplotlib` | Base rendering engine for plots |\n| `seaborn` | Statistical visualisations (boxplots, heatmaps) |\n| `huggingface_hub` | Automatic data download from the HuggingFace repository |\n| `pathlib.Path` | Check folder existence before downloading |\n\n#### Internal modules (`scripts/trains/`)\n\nAll pipeline logic is encapsulated in dedicated modules under `scripts/trains/`. This notebook is purely an orchestrator: it calls these modules in the correct order, displays intermediate results, and produces visualisations.\n\n| Module | Role |\n|--------|------|\n| `scripts.trains.loading` | Read raw CSVs and create frozen copies |\n| `scripts.trains.cleaning` | All cleaning transformations (dedup, NaN, types, labels, clustering, corrections) |\n| `scripts.trains.features` | Add derived columns (year, month, season, categories, rates) |\n| `scripts.trains.audit` | Compute and record quality metrics |\n| `scripts.trains.visualization.cleaning_plots` | Charts related to the cleaning pipeline |\n| `scripts.trains.visualization.eda_plots` | Exploratory data analysis charts |\n\n> No third-party fuzzy matching library is used — the similarity scoring (`tok_sort_ratio`) is implemented from scratch using Python's standard library `Counter`.", "id": "a736fcc960a1915b" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.106503910Z", + "start_time": "2026-05-24T00:17:40.529339110Z" + } + }, "cell_type": "code", - "source": [ - "import scripts.audit as audit\n", - "import scripts.cleaning as cleaning\n", - "import scripts.features as features\n", - "import scripts.loading as loading\n", - "import scripts.merging as merging\n", - "import scripts.visualization.cleaning_plots as cplots\n", - "import scripts.visualization.eda_plots as eplots\n", - "from pathlib import Path\n", - "from huggingface_hub import snapshot_download" - ], + "source": "import scripts.trains.audit as audit\nimport scripts.trains.cleaning as cleaning\nimport scripts.trains.features as features\nimport scripts.trains.loading as loading\nimport scripts.trains.merging as merging\nimport scripts.trains.visualization.cleaning_plots as cplots\nimport scripts.trains.visualization.eda_plots as eplots\nfrom pathlib import Path\nfrom huggingface_hub import snapshot_download", "id": "234b7129843b91ba", "outputs": [], - "execution_count": null + "execution_count": 1 }, { "metadata": {}, @@ -117,7 +112,12 @@ "id": "82085efa57284be2" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.164753608Z", + "start_time": "2026-05-24T00:17:41.109055297Z" + } + }, "cell_type": "code", "source": [ "if not Path(\"data\").exists():\n", @@ -129,7 +129,7 @@ ], "id": "d4db671ea629fd5b", "outputs": [], - "execution_count": null + "execution_count": 2 }, { "metadata": {}, @@ -150,7 +150,12 @@ "id": "66e1905fc6fe89ea" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.222375274Z", + "start_time": "2026-05-24T00:17:41.170701047Z" + } + }, "cell_type": "code", "source": [ "report = audit.AuditReport()\n", @@ -158,7 +163,7 @@ ], "id": "f19d4e2ed4fa491c", "outputs": [], - "execution_count": null + "execution_count": 3 }, { "metadata": {}, @@ -178,12 +183,25 @@ "id": "c55aa21f63894f40" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.342805940Z", + "start_time": "2026-05-24T00:17:41.230407782Z" + } + }, "cell_type": "code", "source": "df, original_file = loading.load_data(\"data/raw/trains/dataset.csv\")", "id": "35dfd89068388976", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded: 12070 rows, 26 columns\n" + ] + } + ], + "execution_count": 4 }, { "metadata": {}, @@ -192,7 +210,12 @@ "id": "4021d43ccfe1410b" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.602688107Z", + "start_time": "2026-05-24T00:17:41.344480827Z" + } + }, "cell_type": "code", "source": [ "report.record_initial_state(original_file)\n", @@ -202,8 +225,19 @@ "cplots.plot_null_overview(original_file, initial_null_total, nb_rows, nb_slots)" ], "id": "4f7169607d86e385", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 5 }, { "cell_type": "markdown", @@ -223,7 +257,12 @@ ] }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.673335395Z", + "start_time": "2026-05-24T00:17:41.610595049Z" + } + }, "cell_type": "code", "source": [ "comp_df, comp_original = loading.load_data(\"data/raw/trains/gares-de-voyageurs.csv\")\n", @@ -238,8 +277,28 @@ "print(comp_original.dtypes)" ], "id": "cb0840265bab9c50", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded: 2782 rows, 7 columns\n", + "Shape : 2782 rows × 7 columns\n", + "Total cells: 19,474\n", + "Total nulls: 0\n", + "\n", + "Nom_Gare str\n", + "Trigramme str\n", + "Segment(s) DRG str\n", + "Position géographique str\n", + "Code commune int64\n", + "Code_UIC str\n", + "Id_Gare str\n", + "dtype: object\n" + ] + } + ], + "execution_count": 6 }, { "metadata": {}, @@ -260,12 +319,26 @@ "id": "579359f34e782aae" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.738152574Z", + "start_time": "2026-05-24T00:17:41.675012090Z" + } + }, "cell_type": "code", "source": "df, comment_cols = cleaning.drop_comment_columns(df)", "id": "a9af046adf56d96d", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dropped 3 column(s): ['Cancellation comments', 'Departure delay comments', 'Arrival delay comments']\n", + "Remaining: 23 columns\n" + ] + } + ], + "execution_count": 7 }, { "metadata": {}, @@ -274,12 +347,17 @@ "id": "1b4d8044a70f43ff" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.788855228Z", + "start_time": "2026-05-24T00:17:41.739491325Z" + } + }, "cell_type": "code", "source": "report.record_comment_cols(comment_cols)", "id": "4346adac3d758460", "outputs": [], - "execution_count": null + "execution_count": 8 }, { "metadata": {}, @@ -298,7 +376,12 @@ "id": "d75c49301f2f13e4" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.872892841Z", + "start_time": "2026-05-24T00:17:41.794432542Z" + } + }, "cell_type": "code", "source": [ "df, nb_dup = cleaning.deduplicate(df)\n", @@ -306,8 +389,19 @@ " cplots.plot_dedup(nb_dup, nb_rows)" ], "id": "38f35fd5de48bd21", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 9 }, { "metadata": {}, @@ -316,12 +410,17 @@ "id": "a532dfa6a1eeb7b7" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.922067532Z", + "start_time": "2026-05-24T00:17:41.875432313Z" + } + }, "cell_type": "code", "source": "report.record_duplicates(nb_dup)", "id": "c8f794b0ef43654c", "outputs": [], - "execution_count": null + "execution_count": 10 }, { "metadata": {}, @@ -338,7 +437,12 @@ "id": "72cb78c176401860" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:41.982383623Z", + "start_time": "2026-05-24T00:17:41.924368208Z" + } + }, "cell_type": "code", "source": [ "comp_df, comp_nb_dup = cleaning.deduplicate(comp_df)\n", @@ -347,8 +451,17 @@ " cplots.plot_dedup(comp_nb_dup, comp_nb_rows)" ], "id": "7a2ee09a28a51783", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No duplicates found.\n", + "Duplicate rows found and removed: 0\n" + ] + } + ], + "execution_count": 11 }, { "metadata": {}, @@ -369,12 +482,28 @@ "id": "a815d6b280c6cb34" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.116268310Z", + "start_time": "2026-05-24T00:17:41.988039436Z" + } + }, "cell_type": "code", "source": "cplots.plot_current_nan(df)", "id": "4691c5c2cf56fa3", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 12 }, { "metadata": {}, @@ -393,12 +522,28 @@ "id": "9ce0fd4bad42c7fe" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.216407397Z", + "start_time": "2026-05-24T00:17:42.123355332Z" + } + }, "cell_type": "code", "source": "cplots.plot_comp_null_overview(comp_original)", "id": "9c7d5f0310d207a4", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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aue6zYuVKeXt7aeWKZTKZTLKzs9Pcb7/Tp59+luf9jBwxXGPGjC7U2gEAAIDigh6SKFEcbEx6raUfYSRgsCdv8dKQRl5GlwGUCC1bttDIkSP00ksvq2Onznpq0BDd1/5ePf/8//Lc59PPpqtO3fpZX7fedrsVKwYAAACKFj0kUWK42pn1eqtyqu/DqqRAcfBwbXd5ONho6u5wpWcYXQ1gHZGRkUpLS5Ofr1+27b5+vgoLC8t1nxfGjdOyZcs1f8FCSdLRo0fl7OykDz94Xx9//IkyMnL+AaWkpCglJaXwHwAAAABQDNBDEiWCr5ONPry7PGEkUMy0q+Kiia3KydGGuVxRNqSmpmr//gNq3fqurG0mk0mtW7fW7t27c93HyclRFosl2zZLuiVrXwAAAKCsIZBEsRfgaquP7vZXFXd7o0sBkItm5Z30btvycrXjJQVlw9czZqhfv77q2fNR1apVS++9N0nOTk5auGixJOnjj6fqxQnjs9qvW/ebHntsoB7q1k2VK1dW2zZtNG7cWK1b91uOoBIAAAAoCxiyjWKtspud3m1TXl6ONkaXAuAa6ng56N025fXylou6nELAgtLthx9Wy8fbW+PGjpGfn58OHTqs/gMGKjw8XJJUqWIlWSz/DsOe9s+w7BdeGCd/f39FRkZo3brf9N77Hxj1EAAAAABDmSpUDGDmLxRLVd3tNKl1eXkSRgIlxsmYFL20mVASKGyurq46fuyI6tStr7i4OKPLAQAAQBlRVO9DGV+HYqmae2bPSMJIoGSp7mGv99qWl4cDLy8AAAAAgNxxxYhip4qbnd5pXV4eDoSRQElU1d1ek1qXl7s9LzEAAAAAgJy4WkSxUtnNVpPoGQmUeNU87PVOaxa6AQAAAADkxJUiig1/Z1u905oFbIDSooanvd5pXU5OtiajSwEAAAAAFCMEkigWPBzMeqt1Ofk4sfA7UJrU8nLQKy38RCYJAAAAALiCQBKGc7I16c1W5VTR1c7oUgAUgablnDT2Dl+RSQIAAAAAJAJJGMzWJL3Swk+1vByMLgVAEWoT4KJhTbyMLgMAAAAAUAwQSMIwJklj7/BV03JORpcCwAoerOmuPvU8jC4DAAAAAGAwAkkYZlgTL7UJcDG6DABWNLCBpzpWczW6DAAAAACAgQgkYYieddz1YE13o8sAYIDhTb3VvAI9owEAAACgrCKQhNW1qOCkxxp6Gl0GAIPYmE0ae7uvqrqzkBUAAAAAlEUEkrCqqu52GnO7r8wm1tsFyjJnO7Nea+knN3tehgAAAACgrOFKEFbjbm/Way3LydmOpx0Ayd/FTi8195OZzycAAAAAoEwhGYJV2JikF5v7yd/F1uhSABQjjf0c9XQTb6PLAAAAAABYEYEkrGJYE2819nM0ugwAxVCXGm56oDorbwMAAABAWUEgiSL3QHVXdanhZnQZAIqxYU28dYuvg9FlAAAAAACsgEASRaq2l72GMRwTwHXYmU2acKefvBx4WQIAAACA0o4rPxQZZ1uTJtzpKztWrACQD16ONhp7h684YwAAAABA6UYgiSLzv9t85O9iZ3QZAEqQpuWc1Lueh9FlAAAAAACKEIEkikTn6q5qHeBidBkASqB+9TzU0If5JAEAAACgtCKQRKGr7mGnwY29jC4DQAllYzbphTt95W7PSxQAAAAAlEZc7aFQOdqYNP5OPznY8NQCcON8nWw1+nYfo8sAAAAAABQBUiMUqmeaequyG/NGArh5d/g7q3stN6PLAAAAAAAUMgJJFJoWFZx0X1VXo8sAUIo81tCLDzkAAAAAoJQhkEShcLM3a8StDK8EULjsbUwa1cyHFysAAAAAKEW4xkOheLqJt7wcbYwuA0ApVNfbQY/UcTe6DAAAAABAISGQxE1rVdFJ91R2MboMAKVYv/qeqsLQbQAAAAAoFQgkcVPc7c16tilDtQEULXsbk0bd7iOzyehKAAAAAAA3i0ASN4Wh2gCspY6Xgx5l6DYAAAAAlHgEkrhhLSs66W6GagOwon71PFl1GwAAAABKOAJJ3BAHG5OGNvY2ugwAZYydjUnPNuXcAwAAAAAlGYEkbkifeh4q52xrdBkAyqDGfo66O8DZ6DIAAAAAADeIQBIFVsnVVt1rMY8bAOM81chLTrascAMAAAAAJRGBJArs6SbesrMhCABgHF8nW/Wr52F0GQAAAACAG0AgiQK5q6KzbivvZHQZAKButdxZ4AYAAAAASiACSeSbg41Jgxt7GV0GAEiSbM0mPdOEBW4AAAAAoKQhkES+9a7LQjYAipcm5RzVphIL3AAAAABASUIgiXzxcbLRw7XdjC4DAHJ44hZPsb4NAAAAAJQcBJLIl/71PeRgw9MFQPHj72KnB6rzgQkAAAAAlBQkTLiuAFdb3VfF1egyACBPvet5yNGGbpIAAAAAUBIQSOK6HmvoKRszF/oAii8vRxt1r+1udBkAAAAAgHwgkMQ11fWy112VXIwuAwCuq0dtd7nb87IGAAAAAMUdV264pidu8TK6BADIF2c7s3rX8zC6DAAAAADAdRBIIk/NyjuqsZ+j0WUAQL51qe6mcs42RpcBAAAAALgGAknkqX99T6NLAIACsbMxqXddekkCAAAAQHFGIIlcNfZzVF1vB6PLAIACa1/FVd6O9JIEAAAAgOKKQBK56l2X1WoBlEx2NiZW3AYAAACAYoxAEjnU9rJX03JORpcBADesUzVXudrxEgcAAAAAxRFXa8ihVx3mXwNQsjnbmfVgTTejywAAAAAA5IJAEtlUdrNVi4r0jgRQ8nWr6SYHG5PRZQAAAAAArkIgiWwereMhs4kLeAAln7uDjR6o7mp0GQAAAACAqxBIIouvk43uruxidBkAUGi613YXnSQBAAAAoHghkESWLjXcZGfmyh1A6eHrZKu7KjkbXQYAAAAA4D8IJCFJsjNLHasxtBFA6dO1BovbAAAAAEBxQiAJSdLdAS7ycLAxugwAKHQNfR1Vw8PO6DIAAAAAAP8gkIQkqUtNehABKL26co4DAAAAgGKDQBKq5WmvOl4ORpcBAEXm7gAXOdsyRy4AAAAAFAcEktAD1Zk7EkDp5mhr1r1VONcBAAAAQHFAIFnGOdmadHdlF6PLAIAix4cvAAAAAFA8EEiWcXcHuMjJlqcBgNKvmoe96nrZG10GAAAAAJR5JFFlXLsq9I4EUHZwzgMAAAAA4xFIlmHlnG3UwIfFbACUHW0DXGRmbRsAAAAAMBSBZBl2T2UXmU1cmQMoOzwcbNSsvJPRZQAAAABAmUYgWYa1YzEbAGUQ5z4AAAAAMBaBZBlV09NeVdxZ3AFA2dO8gpOcbOkdDgAAAABGIZAso+6hhxCAMsrR1qyWFZ2NLgMAAAAAyiwCyTLIJOnuAC7GAZRdDNsGAAAAAOMQSJZBDX0d5ONka3QZAGCYJn6OcrPnJRAAAAAAjMDVWBnUvAK9IwGUbTZmk+7wZ7VtAAAAADACgWQZ1LwCF+EAwLkQAAAAAIxBIFnGBLjaqpKrndFlAIDhbivnJBbbBgAAAADrI5AsYxiuDQCZnO3MauznaHQZAAAAAFDmEEiWMXcyRBEAsnBOBAAAAADrI5AsQ9ztzarv7WB0GQBQbNBrHDfqiccf147tW3UiOFA/rv5BTZs2vWZ7d3d3TXrnbe3ds0snTwRp8+ZNuvfedtYpFgAAAChmbI0uANZzh7+TbMxMmAYAV5RztlUNDzudiEk1uhSUIN26PaiJE1/VhAkvac/evRoyeJDmz/tObdreo4iIiBzt7ezstHDBfIVHhGvo0Kd1/sIFBQQE6PLlGAOqBwAAAIxHIFmG3FaeoYkAcLVm5Z0IJFEgQ4cM0fz5C7Ro8WJJ0vgJL6p9+/bq26e3Ppv+eY72ffr0lqenp7o99LDS0tIkSefOnbNqzQAAAEBxwpDtMqSRL8O1AeBqjVjYBgVgZ2enxo0bafPmLVnbMjIytHnLZjVr1izXfe7v0EG7d+/WpHfe1r6/9+j39b9p5MgRMpt5GwYAAICyiR6SZUQlV1v5OPHrBoCr1fd2kNkkWTKMrgQlgbe3t2xtbRUWHpZte3hYuGrVrJXrPlWrVtFdd7XSihUrNWDg46pevZomTXpHdra2mjJ1Wq772Nvby97ePut7FxeXQnsMAAAAgNFIqMoIegABQO6c7cyq7WmvY1EpRpeCUspkNisiIkLjXhgvi8WiAwcOyN/fX888PSzPQHLkiOEaM2a0dQsFAAAArIRAsoxo7EsgCQB5aeznSCCJfImMjFRaWpr8fP2ybff181VYWFiu+1y6eElpaamyWCxZ2wIDA1W+fHnZ2dkpNTXnHKaffjZdX309I+t7FxcX7d2zq5AeBQAAAGAsJi8qI25h/kgAyBO9yJFfqamp2r//gFq3vitrm8lkUuvWrbV79+5c9/lr1y5Vq1ZNJpMpa1uNGjV04cLFXMNISUpJSVFcXFzWV3x8fOE+EAAAAMBABJJlAPNHAsC1XZlHEsiPr2fMUL9+fdWz56OqVauW3ntvkpydnLRwUeaq2x9/PFUvThif1f7bb7+Vp6en3nrzDdWoUV3t29+r50aO0Jy5c416CAAAAIChSKnKgMb0/AGAa3K2M6uOl72ORjJsG9f3ww+r5ePtrXFjx8jPz0+HDh1W/wEDFR4eLkmqVLGSLP9ZJSk09Lz69R+g11+fqN/W/aoLFy5q5qxvNH3650Y9BAAAAMBQpgoVA1hXtJQb3cxH7au6Gl0GABRrsw5EaXngZaPLAHLl6uqq48eOqE7d+oqLizO6HAAAAJQRRfU+lCHbZUBtL3ujSwCAYq+WJ+dKAAAAALAGAslSzsHGpEpudkaXAQDFHoEkAAAAAFgHgWQpV8PDXjYmVmoAgOup4GorJ1vOlwAAAABQ1AgkS7laDNcGgHwxm0yqSS9JAAAAAChyBJKlHEMQASD/OGcCAAAAQNEjkCzluLgGgPyr5elgdAkAAAAAUOoRSJZiDjYmVWZBGwDIN6a5AAAAAICiRyBZilVzt5ONmQUaACC/KrnaysGG8yYAAAAAFCUCyVKsEr0jAaBAzCaTKrraGl0GAAAAAJRqBJKlWCVXAkkAKCjOnQAAAABQtAgkS7FK9PIBgALj3AkAAAAARYtAshSjlw8AFFxFzp0AAAAAUKQIJEuxCvTyAYAC48McAAAAAChaBJKllI+TjZxs+fUCQEExZBsAAAAAihaJVSlVyYULagC4Ee4ONnK14+URAAAAAIoKV1ylVAWGHALADaOXJAAAAAAUHQLJUsrXycboEgCgxPLhHAoAAAAARYZAspTyduRiGgBulBfnUAAAAAAoMgSSpRQX0wBw47wdGbINAAAAAEWFQLKUoockANw4zqEAAAAAUHQIJEspLqYB4MZxDgUAAACAokMgWQqZJHk6cDENADeKQBIAAAAAig6BZCnk6WCWjdlkdBkAUGIxDy8AAAAAFB0CyVKIC2kAuDkeDmbxuQ4AAAAAFA0CyVLI1Z5AEgBuhtlkkosdL5EAAAAAUBS42iqFnG3p1gMAN8uJcykAAAAAFAkCyVLI0ZZfKwDcLCfOpQAAAABQJLjaKoXo1QMAN49zKQAA+bNj+1bt2L4127ZevXoqNOSsevXqaVBV/2rZsoVCQ85qzOhRRpdSYLa2thozepS2bPlDJ08EKTTkrDp17Gh0WQU2deoUhYacVUBAgNGlACgmCCRLIXr1AMDNo7c5AOBmBQQEKDTkrEJDzmr+vO9zbXPbbbcqNOSspk6dYuXqUBI8PWyoxowZrYsXLurLr77W5MlTFBQUZHRZAHDTiu3V1pVPsdzd3a/Zbsf2rRo8eJCVqsr8pO/I4YNWu78bQa8eALh5xXE+3qlTp+ibWTOzvl+6ZLHeeGOigRUBAPLrnnvu1l13tTK6DJQw993XXnFxcerTt5/ef/8DTZ4yVUHBwUaXBQA3rUCB5NUXQlfkNzy8GSUhCMyLtbvVl6Qeki41m6jG0Pd1y9srdeunW+TRuE2ONv6dB+mWt1eqyeT1qjVimhz8snfzt3F2U9XHXlPjD35Ro/fXqEq/CTLbO13zfk229groOVqN3vtJjT/6VdUHvS1bN69sx6wx9H01/uhX1X3hGzkF1M62f0DP0Sp3b5+beORA0fFt00MNXl+iJlPWq86Yr+Vctf4123s2baf6r8xTkynrVe/FuXJv0CLb7eXu7atbJq3WLZNW53jeO1dtoLrjZklmm0J/HEYrzHPplWFKI4Y/m217p44dFRpyttDuBwBQPJ05c0bp6el6+aWXjC4FJUz58uUVFRWl1NRUo0sBgEJVcpIr5FtJ6iFp4+CkxJAgnV2c+xCVcvf1l9/dj+rsoo90bPJQpScnquazU2Sytc9qU+3xiXKsUF1B00fpxFfj5VKziSr3feGa91upx0h53HKXTn7zqgI/Hik7D19VH/xO1u3+HR+X2dFZx94fpLigvarSd3zWbc7VGsqlWgNd2rD4Jh89UPg8b7tXlbqP0IU1s3Xsg0FKDAlSzWenyNbVM9f2LtVvUbUnJipi2486+v5Titm/WdWHvCvHCtUlSY4Va6pCl0E6NWeiTs15XRW6DJFjhRqZO5ttVLn3WJ1d9KFkSbfSI7Qex0I+lyYmJunZZ5+Rh4dHoR4XAFD8BQef0NJly9W0aRN16/ZgvverVKmSJn/0oXbv+kunTgZr166dmvzRh6pUsWK+jzFm9CiFhpxVy5Yt1P3hh7Xu17UKDgrU3j279OYbr8vR0TFb+2vN/VhUczEuWrRA586eVqVKlXK9/a0331BoyFm1bZPZecHOzk5PPfmE5s/7Xrv+2qGTJ4K0f99ezZzxtW5p2DDf9xsaclZLl+T+nj63eTGv3PfQoUP0y9qfFRR4TMePHdGK5ct0f4cOOdq6ublp3Ngx2rhhvQKPH9Wxo4f155bNmjZtSp6P9Yorv7eqVauqcuXKWUP/r66pd69e+nH1Dwo8flSBx4/qx9U/5Pq7u5Hf65Wfj6+vr6ZNm6KDB/YpOChQq1evUsuWLXIcR5Lq1KmjuXNn6/ixIzp65JC++3au6tate83HCqBsKrJA8s477tCK5csUHBSoXX/t0FtvviEnp397rT3ySA+t+fknHT92RH/v3a3pn30qHx+fXI/VsmULTZs6RR4eHlkn4v+eLJ2cnDRl8kc6fuyI/tq5Xf3798u6bfHihXrn7beyHc/b21unTgardeu7cr2/Bg3qa8mSRTp+7IiOHT2stWt+UuPGjfN8rI89NlBb/9yiUyeDtfmPjXrkkR5Zt115wfjmm5nZXkAKeh8FYWcuOYHk5cPbdf6nGYrZ/0eut5e7p6cu/vKtYg5sUVJosE5/97bsPHyyelI6lK8q9wYtdGb+e0o4fVjxJ/br3NJp8rqtvWzdc38+mR1d5NOyq0JWfKq443uUePaYTs+bJNcajeVcrWHWcaN2/6bksLMK//MHOZSv+s/OmQHMmYUfShmWwv+BADepXLs+iti2WpE7flbShVM6u+hDWVKS5NOya67t/e7pqctHdujS+gVKvnha53+aqcSzx+XX9hFJkmP5qkoMCVbc8T2KO75biaHBcvzn76F8+76KC96nhDNHrfb4rMnBpnBfIrds2aywsDCNHDE819vHjB6ldb+uzbZt8OBBuV4MAQBKno8+/EhJSUl64YVxsrW1vW77GjWqa83PP6pv3z46cOCAvvrqax06eFB9+/bRmjU/qUaN6gW6/yeffEIffPCejh07rm+/+04xMTEaPHiQPvrwgxt9SIVm2bLlMpvN6tGje47bbGxs9NBD3XT+/AVt3rJFkuTp6ak33nhd9vb2Wv/775oxY6a2btume+9tp1WrVqpJkyZFUqe9vb3mz/9er098TSaTSQsWLNSy5SsUEFBJc+Z8oyefeDxb+/nzv9eoUc8rOjpa38+br3nz5uvgoYO6v0OH6/7+tm7bpsmTpygmJkYxMTGaPHmKJk+eohkzZ2W1eevNNzR16mT5V/DXggULtWDBQvlX8Ne0qVP05huvF8pj9vBw18qVy1W3Tl0tXbZca9asUZPGjTV/3vc5gsa6devqh1UrdG+7dtqwcaPmzP1W9vZ2WrVyuapWqVIo9QAoPa7/SngDqlatqnnzvtP7H3yo0WPGyMfHR++8/ZYmvfO2Ro0eI0mys7XTBx9+qODgE/L19dHrE1/TtKlTNPCxx3Mcb9eu3Xr1tYkaN3aM2rS9R5IUHx+fdfuwYUP14Ycf6ZNPP1PXLp313ruTtH37dgUHn9CC+Qv19ttv6Y0331JKSoqkzDD0woUL2rLlz1zr/+zTT3Xw0EG9OOElpVvS1bBhQ6Wl5d5FvlOnTnrzjdc18fU3tHnzZt13332aOmWyzp8/r61bt+mBzl118MA+PT9qtDZs2Kj09PQC30dBmU0lJ5C8FnufirLz8FXssb+ytlmS4hV/6rBcqt+i6D3r5VL9FqUlxCrx7LGsNrHHdkkZFrlUa5hr0Olcpa7MtnaZ7f6RfPGMUiIvyKV6QyWcOqTEkCC51WmmiG0/yr3+nUoKzZynpfx9/RUXuDfb/QHFhcnGVs6V6+jiuu/+3ZiRodhju7LC9qu5VLtFlzYszLbt8tEd8mzcVpKUGBosh3KVZedVXpLkUK6yEs+fkL1vRXm36KJjHzxVNA+mGCjsM2l6ukXvvveBpn/2qWZ9843On79QyPcAACjOQkJDNXv2HD3zzNMaOKC/Zs+Ze8327733rnx9fTXuhfGaN29+1vbHH39M7056R+++O0m9e/fN9/23ad1anR7orODgE5Kk99931Lpf1+qhh7rprbff0cWLF2/sgRWCn376We9Oekc9uj+sTz/9LNtt7drdI19fX33xxZfKyMiQJMXExOiOO1vowoXsr6V16tTRj6tX6cUJL6hP3/6FXueoUc/rrlatNHXqNH340eSs7W+7uGjJ4kV67bVX9fOatbp48aLq1aunZrfdpjVr1mrQ4CHZjmNvb3/dUHrbtu3atm17Vo/GyVOmZru9efPmGjToKR0/flwPdntYsbGxWe1+XL1KgwcP0o8//aydO3fe1GNu2LCh5syZq5dfeTXr5//nn39q8uSP9OSTj2vChH+nIXjn7bfk7u6u4SNGasWKlVnbJ0wYr+dGjripOgCUPgXu/nHffe2zuoNf+fr+u++ytRk5YriWr1ihmTNn6eTJU5mB4qsT9eijj8jBwUGStHDRIm3YsFFnzpzRnj179cqrE9W+/b1ydnbOcZ+pqamKjY1VRkaGwsLCFBYWpoSEhKzbf//9d82d+61OnTqlz6Z/rsjISLVqlTlh9M9r1kiSOna8P6t9r149tXjxkjwfY6VKFbV58xYFBQfr5MlT+vHHn3T48JFc2z7z9FAtXrxEc+d+qxMnTurrr2fo5zVr9PTTwyRJkZGRkqTLMZcVFhaW9X1B7qOgSlAHyWuyc/eWJKXGRmXbnhYblXWbnbu30q66XZZ0pSXEZrXJcVw3H1lSU5SeGJdte2pspOzcMntVXlz3vTIs6Wo4cZE8GrfVmfnvycEvQN7NH9CFtXNUufdYNZi4WNWefFNmR5fCeLjATbNx8ZDJxlaplyOzbU+LjZRdHj2GbXP5G0qLjZKtW+bfT/LF0wpd/ZVqDZ+qWsOnKvSHL5V88bSq9HlBoas+l3v95qr34req+8I3cqlZNL0RjFIU59K1a9fq0OFDGjtmTOEfHABQ7H3y6WeKjo7W88//L9frnisqVayo1nfdpWPHjmULIyXp22+/U2BgoNq0bq2KFSvk+75nzfomK4yUpKSkJK1cuUo2NjZq3LhRwR9MIYqPj9fatb+obt26anTLLdlue/SRzFEby5Yvz9qWkpKSI4yUpOPHj2vr1m1q3rx5vnqhFoTJZNJjAwfq5MlT2cLIK/VPnTZNDg4O6vxAp2y3JSUl5ThWSkpKtuvZG9Gr56OSMgPIK2GklBnWTpkyTZLUO5fh2QUVHx+vt9+ZlBVGStLiJUuVmpqqpv/piVqpYkW1atVShw4fzhZGStInn3yq6Ojom64FQOlS4LP01q1bNeHFl7Ntu/XWppr+2adZ3zdo0ED169dTj+7/drk3mUyysbFR5cqVFRQUpEaNGmnsmFFq0KCBPDw8ZDZnZqOVKlVSYGBggWo6clWQdyksTL7/DP9OTk7WsmXL1Kd3b61e/aMa3XKL6tWtqyeeyLtXz9dfz9BHH36gRx/poc2bt2j1jz/p9OnTubatVau2vr/qTcJff+3S4EHX7jVUkPsoqNISSBrJkhSv03PfyLat1siPFbpyurzvuF/2PhV1+K2+qtJvvCo88KRCVnyWx5GAki/iz1WK+HNV1vfed3ZSelKC4k8eVP1X5uv4R0Nk5+mn6k++oUOv91RGIfX2NlpRnUvfeeddLVm8UF98+VXR3AEAoNiKiYnR9Omf6+WXX9IzTw/L0evtiob/zIO4bfuOHLdlZGRo+44dql27tho2bKjQ0PP5uu/9+w/k2Hb+fOa+Rbk4aX4tXbZM3bs/rEcefUQHDmYuZurq6qoOHe7T4cNHcnTeaNiwgZ595hndeecd8vPzk729fbbbvb29denSpUKrr2bNmvLy8tTFixdznUPzyvRjtWrVkiQFBgbq0OHD6t79YVWoUEFrf/lF27Zu08FDh7KFezfqllsynyNbt27LcdufWzOne2nYsMFN38+JEydyhKfp6ekKCw+Xu/u/82I3+Oe+/tr5l66WkJCgQ4cP665WrDIP4F8FDiQTEhJ16tSpbNsqVPDP9r2Li7O+/36eZn0zO8f+ISEhcnJy0oL532vjxk0aPuI5RUZEqFKlSlqwYJ7s7e0KWpJS09Kyb8jIyAo4JWn+goVa9+taVajgr969e+nPP/9USEhInsebPGWqVqxcqfbt2+vedu00ZsxoPfPsCK1duzbPfQrKGvdR0l3p5WXn5qW0yxFZ223dvJQYEpTV5r+rY0uSzDaydXbL0Uss67ixETLb2cvGyTVbL0k7N2+lxkbkuo93885KT4xTzIEtqj74HcUc2CxZ0hW9d4MqdB58Mw8TKDTp8THKSE/L0TvY1s1bqZdzf26n5fI3ZOvmpbTY3P9+bFw85P/AUwr8eLicqzZQcthZJYedU3LYOclsIwe/yko6fyLXfUueokkkd+zYoY2bNumlFydk661vsVikq6bcsCvk3h0AAOPN+ma2nnzyCQ0bNlRz5n6baxtXN1dJUnhYWK63X7qYGbS5urrm+35j42JzbEv7ZzopGxubfB+nqGza9IcuXbqkh7o9qDfffEsWi0Vdu3SRk5OTli1blq3t7bc30+JFmVPO/PHHZp04eVIJ8fHKyMhQp04d1bBhwxwB5c3y8vSUJNWrV1f16uW9SMuVnq/p6enq1au3xowerc6dO+v1ia9JksLDwzV79hx9/Mmnma/9N8jV1U3p6emKiMj5Hi8sLEwWi0Wubm43fPwrYmPjct2enpYmm//Mt+32z32Fh4fn2j48LPftAMquIlnU5sCBg6pTp7ZOnTqV4ys1NVW1atWSt7e3Jr37rnbu3Kmg4GD5+OY+nPCK1JTUG36hPHr0qPbt26/+/frp4e4Pa+HC66+OfOLESc2YMVN9+/XXmjVr1ad3r1zbBQUF6o7bb8+27Y47btfx//TyTElJkTmXxRHyex8FdfOftxUPKRGhSo0Jl1vdf3++ZkdnuVRroPiTmZ+axp88KFtnNzlV/vdNgVud2ySTWfGnDuV63IQzx2RJS5VrnWZZ2xzKVZa9t7/iT+bcx9bVU/4PPKFzS/75BNtklsmcGRKYbGwlM4vVo3jISE9TwtnjcvvPc1smk9zqNFNCHn8P8acOyq1O9nOYW907sv7GrhbQY6QubVik1Ogwmcw2WX8LUubfg6kU/T1kFOHZdNKk99Shw31q1uy2rG0RkZEq5+eXrV3DAqwUCgAoGZKSkvTRR1Pk6uqa52rVcf+EQL5XvS5c4Vcuc3tcXO5h0c24EpLZ5nLt5e5WdD0pLRaLVq76QeXLl1ebf1bTfuTRHkpPT9eKlauytX3uuZFydHRUnz799MSTT+nNN9/SR5OnaPKUqbp0KfcQN6/7tLXN/RrT7aowL/afn/WPP/2kipUq5/l1Zc0ESYqKitYrr76m25rdrrZ3t9NLL72i6OhojRs3Vs8++0y+68xNXFysbGxscl0Y1tfXV2azWXH/Gcpd1L/XK8PGfX19c73d1y/37QDKriK5cpz++ee6/fbb9c7bb6lhwwaqXr2aOt5/f9Zq1yEhIUpOTtZTTz6pKlWq6P4OHTTq+f9d85hnz52Vq6urWre+S95eXnJydCxQTfMXLNDw4c/KJJPWXKMXoqOjo955+y21bNlClSpV0h23364mTZrkOYz8iy++Uq9ePfXYYwNVvXo1DR06RJ0feEBf/mco3tlz59S6dWv5+fnJw8OjwPdRUIUwAsBqzPZOcqpUS06VMoc22PtUkFOlWlkLaFzauETlOz4u91vukmOFGqo68BWlxkQoZv9mSZnz210+vF1V+r4g56r15VK9kQJ6jlbUnvVZvSrtPHxV/5V5cq5aX1LmcOyIbT8qoMdIuda+VU6V66pK/5cUd+JArqFNpR7P6dLvC5Uak/mpXvyJA/K+s6McyleVT6tuij+Rc/gLYJRLGxbKp9WD8r6zkxzKV1XlXmNldnBSxPafJElVB76iCg8Oy2oftnGJ3Bs0V7l7+8ihfBX5P/CUnKvUU9gfy3Ic263u7XIoV0XhmzPncEo4c0SO/6x079Oqm2RJV9KlM9Z5oFZQlOfSo0ePavmKFXrqqX+n99i6dZt8fHw0/NlnVLVqVT3x+ONq165d0RUBADDM4iVLdPToMfXr11fVqlXLcfuhQ5nvSVs0b57r/le2X2lXmGJiYiRJ/v7+OW67Mky4qCxbmvn+45FHuqtixQpq2aKFtm7dmmO+yGpVqyoyKko7/8o+PNjJ0VGNGmWfg/JaomNicn2cAQEB8vynR+QVgYGBunz5spo0bnxD81MGBQVpzty56tO3nyTp/vs7FPgY/3XwYObvvlWrljlua9Uyc9uhQ4ezthX17/XwP/d1x5135LjN2dlZDRvc/PBxAKVLkQSSR44cVY9HeqpGjRpasXyZfv1lrcaOG6ML/6zcFhkZqVGjxqhr1y7auGG9Rox4Vm++9fY1j7lr127N/fY7ffnF5zp4cH+BP1FauXKV0tPTtWrVKiUnJ+fZLj09XV5eXvrk42nasnmTvvzyC23YsEEfTZ6Sa/u1v/yi1ya+rqeHDdOG39dr4ID+GjV6jLZt257V5s0331Lbtm20668d+vWXNQW+j4KylKBA0rlKPdWbMEf1JsyRJAX0eE71JsxRhS6DJEmXfpunsE1LVaXvC6o7boZsHJwV/PkYZaSlZB3j1Nw3lHTxjGqN+Fg1n/lQ8cH7dXbBB1m3m2xs5Vi+qsx2/4bYIcs/VczBrao+6B3V/t9nSouN1MmZ2edGlSS3enfKwS9A4ZtXZG0L+2OZksNDVXfM1zLb2unCmm8K+8cC3LDoPb8rZOV0VegyWPXGz5ZTQG0Ffz4ma+EaO6/ysvP495P0+JMHdWrOG/Jp1U31xs+RZ9N7dHLGi0o6fzLbcU129groOVpnF36QldSlRofp3NKpqtL/Rfl3fEynv39HGakpKi2K+lz64YeTZf7PRJVBQUF68aWX9cQTj+u3db+o6a1N9OVXzDMJAKWRxWLRe++9L3t7e40ZPTrH7SGhodry55+qV6+u+vbpne22AQP6q06dOtq8ZUu+548siP37D8hiseihh7plLUgqSdWrV9Og68yTf7MOHDyoY8eO6YFOnTRgwACZzWYtXbY8R7tz50Lk6eGhOnXqZG0zm8169bVX8+yhl5t9f+9TlSpV1KJFi6xtdnZ2WcOr/ys9PV3ffvudKleurNdefSXXULJu3bpZPRYDAgIUEBCQo42vb2bv1mtdk+bH4iVLJUmjRz2fbei+m5ubRo9+Plsbqeh/ryGhodq2bbsaNmig7t0fznbbc8+NzBHwAoCpQsWAEhRf3biAgABt27pFnTt3zZokubQa1cxH91XN/3wyAICcZuyP1MqgnPNtAUZwdXXV8WNHVKdu/SIZogmgaAQEBGjnjm3asGGj+g8YmOP2FcuXqXnzOyVJixYv0ahR/4aTNWvW0MoVy+Xl5aVff12n44GBqlunjjp2vF/h4eF6uHsPnThxMscxrzZm9CiNGTNajzzaM1unCUnq1aunpk2doudHjc42r/Fnn36iHj2669ixY9qwcZN8fX30QKdO2rBxo7p26aLJ/wyPvmLH9sxFVJq3aHXdY1/PiOHP6qWXXlRKSorS0tLUuMmtORZVue++9vp27hxFR0dr9Y8/KjkpWS1btVQFf38dOXpUd7VqpTubt9S5c+ckSS1bttCypUty1H1327aaN++7rBXHExMT1bZtG8VcvqyASgFKTU3J9pjs7e01d85s3X13W508eUo7duxQeHi4/Cv4q369emrYsKG6PthNe/bsVaeOHTVz5tfa+/ffCjweqEthYfL3L69OHTvKxcVFgwYN0a/r1l3355Hbz/aKt958Q4MGPaWQkBD99PMamUxSl86dVbFiRc2cOUuvTXw9W/uC/l5DQ85q69ZterRnzqnFcqurbt26WrVyuVxcXPTzmjU6efKUbm3aRE2aNNHhw0fUokXzbL8XACVDUb0PLT2TfeXB1tZWfn5+Gv/COO3Zs6fUh5GSlJRWJjJmAChSnEsBAEXtnUmT8rwtOPiEOj3QRYsXL1HTpk31zNPD1KRJEy1cuEgPdO6arzDyRo0d94JmzpwlLy8vPfH4Y6pfv75eeGGCZs+eU2T3ecXyFSuUnp4ue3t7/fLLrznCSEn67bf1GjxkqM6cOaNHevRQ9+4PKzgoWJ27PKhz5/JevPRqm/74Q8OefkanTp3WI4/0UNeuXfTHH5vVp08/peYy6iMlJUX9BwzUuBfGKyzskjp3fkCDBw9Si+bNdfHiJY2f8KKOHDkqSdq3f5+mT/9cGRkZat/+Xg0bOkStWrbU5s1b9NDD3fMVRl7Pq69N1KhRY3TpUpgG9O+n/v366eLFSxo1akyOMFIq+t/rsWPH9NDDPbRh40a1u+cePfnE40pJSdVDD/fQ6TOlZ1ofAIWj1PeQvPJpWHBwsIYMfVpHjx41uqQi92RDTz1a18PoMgCgRPtgZ5g2nct5EQQYgR6SAAAAMEJRvQ8t+Gy8Jcy2bdtVsVJlo8uwqgR69QDATUvkXAoAAAAARaLUD9kuixLTLEaXAAAlHudSAAAAACgaBJKlEPOeAcDNo4ckAAAAABQNAslSKIFePQBw0+ghCQAAAABFg0CyFEriIhoAbhq9zQEAAACgaBBIlkIsagMAN4/e5gAAAABQNAgkS6GY5HSjSwCAEi053cIckgAAAABQRAgkS6HIJAJJALgZUUn0jgQAAACAokIgWQolpmUwjyQA3ISopDSjSwAAAACAUotAspSilyQA3DjOoQAAAABQdAgkSykupgHgxnEOBQAAAICiQyBZSnExDQA3jnMoAAAAABQdAslSiotpALhxnEMBAAAAoOgQSJZSUVxMA8AN4xwKAAAAAEWHQLKUupTACrEAcKMuJRBIAgAAAEBRIZAspULjCCQB4EakZ2TofFyq0WUAAAAAQKlFIFlKhXAxDQA3JCwhTWkZRlcBAAAAAKUXgWQplZiWocgkekkCQEGF0MMcAAAAAIoUgWQpFhLLRTUAFFRILD3MAQAAAKAoEUiWYgzbBoCCo4ckAAAAABQtAslSjItqACg4PswBAAAAgKJFIFmKhXJRDQAFRiAJAAAAAEWLQLIUO3OZi2oAKIjENIvCEtKNLgMAAAAASjUCyVIsND5N8akWo8sAgBLjRHSKMowuAgAAAABKOQLJUi44OsXoEgCgxAjinAkAAAAARY5AspTj4hoA8o9zJgAAAAAUPQLJUi4oKtnoEgCgxAiKIpAEAAAAgKJGIFnKMWQbAPInKc2ic7EsBgYAAAAARY1AspQLiUtTAgvbAMB1nYxJEWdLAAAAACh6BJKlXIakEzH0kgSA62H+SAAAAACwDgLJMuA4c6IBwHVxrgQAAAAA6yCQLAMOhScZXQIAFHsHOVeiAJ54/HHt2L5VJ4ID9ePqH9S0adN87fdQt24KDTmrb2bNLNoCAQAAgGKMQLIMOBierPSMDKPLAIBi62J8mi4lpBtdBkqIbt0e1MSJr2rKlGnq2KmzDh8+rPnzvpOPj8819wsICNCrr72i7dt3WKlSAAAAoHgikCwD4lItOsk8kgCQp/30jkQBDB0yRPPnL9CixYsVGBio8RNeVGJikvr26Z3nPmazWdM/+0STP5qs02fOWLFaAAAAoPghkCwjDoQlG10CABRbB8IIJJE/dnZ2aty4kTZv3pK1LSMjQ5u3bFazZs3y3G/0qOcVHh6hBQsXWaNMAAAAoFizNboAWMeB8CR1r+1udBkAUCztJ5BEPnl7e8vW1lZh4WHZtoeHhatWzVq57nPnHXeoT98+ur9Dx3zfj729vezt7bO+d3FxubGCAQAAgGKIQLKMOBiepPSMDNmYTEaXAgDFyoX4NIUlMn8kioaLi4s++WSaxo17QZFRUfneb+SI4RozZnQRVgYAAAAYh0CyjIhPzdDJmBTV8nQwuhQAKFYOMH8kCiAyMlJpaWny8/XLtt3Xz1dhYWE52lerVlVVqlTR3Dmzs7aZzZkz5pw5fVJt2t6j06dP59jv08+m66uvZ2R97+Lior17dhXWwwAAAAAMRSBZhuy/lEQgCQBX2XeJQBL5l5qaqv37D6h167u09pdfJEkmk0mtW7fWnNlzcrQPCgpWu3vvy7Zt/Avj5OLqotdee12hoaG53k9KSopSUliQDgAAAKUTgWQZ8teFRPWo42F0GQBQbKRnZGj3xUSjy0AJ8/WMGZo2dYr27d+vvXv/1pAhg+Ts5KSFixZLkj7+eKounL+gd997X8nJyTp27Fi2/WMuX5akHNsBAACAsoJAsgw5GJGs2JR0udnbGF0KABQLRyOSdTnFYnQZKGF++GG1fLy9NW7sGPn5+enQocPqP2CgwsPDJUmVKlaSxZJhcJUAAABA8WWqUDGAd8xlyNjbfdWuCit1AoAkfXMgSssCLxtdBnBdrq6uOn7siOrUra+4uDijywEAAEAZUVTvQ82FdiSUCDsvJBhdAgAUG5wTAQAAAMD6CCTLmF0XEpXKMDIAUEhsqs7GphldBgAAAACUOQSSZUxCWoYOhbOiLADsuMBiNgAAAABgBALJMmjHeS7CAWDneYZrAwAAAIARCCTLoG2hXIQDKNtiktN1KCLZ6DIAAAAAoEwikCyDwhLTdTiCYdsAyq4tIQliOl0AAAAAMAaBZBm18Wy80SUAgGE2nOEcCAAAAABGIZAso/44l8Bq2wDKpAvxqToSyXBtAAAAADAKgWQZFZti0Z6LLG4DoOzZQA9xAAAAADAUgWQZxpBFAGXRRs59AAAAAGAoAskybMf5RCWkWowuAwCsJjAqWefi0owuAwAAAADKNALJMizFkqGtoQlGlwEAVsOCXgAAAABgPALJMm796TijSwAAq0i1ZBBIAgAAAEAxQCBZxu0PT9a52FSjywCAIrcjNEHRyUxTAQAAAABGI5CE1p6MNboEAChya07SIxwAAAAAigMCSei3M/FKTqfXEIDSKyQ2VX+HJRldBgAAAABABJKQFJti0eZzLG4DoPRaQ09wAAAAACg2CCQhSfrxBBfrAEqnpDSL1p1mMRsAAAAAKC4IJCFJCoxK0bHIZKPLAIBCt/FsvOJSmZYCAAAAAIoLAklkWR1ML0kApc8PnNsAAAAAoFghkESWzefiFZaQZnQZAFBo9l5M1OnLqUaXAQAAAAD4DwJJZEnLkFYGXTa6DAAoNIuPc04DAAAAgOKGQBLZrDkZp5jkdKPLAICbdjQyWfvDkowuAwAAAABwFQJJZJOcnsFckgBKhSXHYowuAQAAAACQCwJJ5LA6OFYJrEgLoAQ7FZOi7ecTjS4DAAAAAJALAknkEJdq0dqT9JIEUHItZe5IAAAAACi2CCSRqxVBsUpNzzC6DAAosAvxadp0Lt7oMgAAAAAAeSCQRK4ik9K17nSc0WUAQIEtD4yRhc9TAAAAAKDYIpBEnhYejVFSGnNJAig5zselau1JPkwBAAAAgOKMQBJ5ikhK148nmEsSQMnx/ZEYMdsEAAAAABRvBJK4piXHLisuJd3oMgDguk5Ep2jjWeaOBAAAAIDijkAS1xSXamG1WgAlwpxDUUaXAAAAAADIBwJJXNeqoFiFJ6YZXQYA5Gl/WJJ2X0wyugwAAAAAQD4QSOK6UiwZWnA0xugyACBPcw7SOxIAAAAASgoCSeTLr6fidC421egyACCHraEJOhaVYnQZAAAAAIB8IpBEvlgypJkH6IEEoHhJSc/QLM5NAAAAAFCiEEgi3/66kKgd5xOMLgMAsiwLjNGFeOa4BQAAAICShEASBfLlvkglpVmMLgMAdCE+TYuPXja6DAAAAABAARFIokAuJaRr6XECAADGm7E/UimWDKPLAAAAAAAUEIEkCmzp8RiFxrHADQDj/HUhUdvPJxpdBgAAAADgBhBIosBSLdLX+1lEAoAxUtIz9NW+SKPLAAAAAADcIAJJ3BAWuAFglOWBl3WehWwAAAAAoMQikMQN++LvSMWnssANAOs5F5uqRUdjjC4DAAAAAHATCCRxw8IS0zXrAEO3AVhHekaGpu2OYCEbAAAAACjhCCRxU345FafdF1lYAkDRWxV4WUcik40uAwAAAABwkwgkcdM+2RPB0G0ARepsbKq+PRxtdBkAAAAAgEJAIImbFp6YrpkM3QZQRDKHaoeLzz0AAAAAoHQgkESh+JWh2wCKyMrAyzoamWJ0GQAAAACAQkIgiULz8Z4IxaXQhQlA4Tl7OVXfMVQbAAAAAEoVAkkUmojEdE3/O8LoMgCUEinpGfrgrzCGagMAAABAKUMgiUL1x7kErT0Za3QZAEqBbw5E6URMqtFlAAAAAAAKGYEkCt1X+6J0Kob53gDcuK0hCVp9gg83AAAAAKA0IpBEoUuxZOi9neFKSmOcJYCCuxCfpml7wo0uAwAAAABQRAgkUSTOxqbqy32RRpcBoIRJtWTog51hik/NMLoUAAAAAEARIZBEkVl3Ol4bzsQZXQaAEuTbQ9E6FsWUDwAAAABQmhFIokh9tjdSZ2NZlALA9f11IUHLAy8bXQYAAAAAoIgRSKJIJaVn6K1tlxSXkm50KQCKsbOxqfpgJ/NGAgAAAEBZQCCJIhcSl6YP/gpXuoU54QDkFJeSrje3XVJCGucIAAAAACgLCCRhFbsvJmn2wSijywBQzKRbMvTeznCFxqUZXQoAAAAAwEoIJGE1K4Ji9dtpFrkB8K9vDkZp76Uko8sAAAAAAFgRgSSs6tO9EToSkWx0GQCKgXWn47QyKNboMgAAAAAAVkYgCatKs0jvbL+k8ESGZwJl2ZGIJH22N8LoMgAAAAAABiCQhNVFJVv0xtZLik+1GF0KAAOExKXqre1hSuMUAAAAAABlEoEkDHEiJlVvb7uklHRW1QXKkqikdL225ZJikkkjAQAAAKCsIpCEYfaHJ+vDv8KVnkEoCZQF8akWvfbnRV1IYMoGAAAAACjLCCRhqK2hCfri70ijywBQxFLSM/T2tks6EZNqdCkAAAAAAIMRSMJwa07Gaf6RaKPLAFBE0jMy9NFf4dofnmx0KQAAAACAYoBAEsXCvCMx+vlErNFlACgCX/4dqT9DE4wuAwAAAABQTBBIotj4/O9IbTobb3QZAArRt4ei9fPJOKPLAAAAAAAUIwSSKDYyJH20K1xbzhFKAqXB/CPRWnQsxugyAAAAAADFDIEkihVLhvT+X+HayvBOoERbdDRG844QRgIAAAAAciKQRLFjyZDe2xFGKAmUUIuPxejbw9FGlwEAAAAAKKYIJFEspf8TSm4JYfg2UJIsOBKtuYeijS4DAAAAAFCMEUii2ErPkN7fGa4/mFMSKBG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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 13 }, { "metadata": {}, @@ -421,15 +566,31 @@ "id": "830013a19d182393" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.273682663Z", + "start_time": "2026-05-24T00:17:42.217802647Z" + } + }, "cell_type": "code", "source": [ "df, crit_dropped = cleaning.drop_critical_nan(df)\n", "cplots.plot_critical_nan_drop(len(df), crit_dropped)" ], "id": "e45fe46413a646ec", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 14 }, { "metadata": {}, @@ -438,12 +599,17 @@ "id": "b39f6df25c558469" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.327077311Z", + "start_time": "2026-05-24T00:17:42.279958045Z" + } + }, "cell_type": "code", "source": "report.record_critical_nan(crit_dropped)", "id": "733c651abc0ebbbf", "outputs": [], - "execution_count": null + "execution_count": 15 }, { "metadata": {}, @@ -463,7 +629,12 @@ "id": "9b0a83ef70bb75c3" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.393221603Z", + "start_time": "2026-05-24T00:17:42.329218575Z" + } + }, "cell_type": "code", "source": [ "comp_df, comp_crit_dropped = cleaning.drop_critical_comp_nan(comp_df)\n", @@ -471,8 +642,26 @@ "cplots.plot_critical_nan_drop(len(comp_df), comp_crit_dropped)" ], "id": "40cc84af73220af2", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rows dropped (missing critical identifiers): 0\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 16 }, { "metadata": {}, @@ -490,12 +679,26 @@ "id": "3e92a1c1d8fca68a" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.459570523Z", + "start_time": "2026-05-24T00:17:42.400814061Z" + } + }, "cell_type": "code", "source": "df = cleaning.parse_dates(df)", "id": "c55229e06c506acb", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dtype : datetime64[us]\n", + "Range : 2018-01-01 → 2025-12-01\n" + ] + } + ], + "execution_count": 17 }, { "metadata": {}, @@ -516,12 +719,25 @@ "id": "7a1aa565b928341a" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.522948515Z", + "start_time": "2026-05-24T00:17:42.463534427Z" + } + }, "cell_type": "code", "source": "df = cleaning.convert_numerics(df)", "id": "4ba71bcb8fac2129", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All 19 numeric columns successfully converted.\n" + ] + } + ], + "execution_count": 18 }, { "metadata": {}, @@ -538,12 +754,28 @@ "id": "93d12a09b40fcdca" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.587505671Z", + "start_time": "2026-05-24T00:17:42.526140503Z" + } + }, "cell_type": "code", "source": "df = cleaning.cast_string_columns(df)", "id": "bff942e3e3107704", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dtypes after cast:\n", + "Service string\n", + "Departure station string\n", + "Arrival station string\n" + ] + } + ], + "execution_count": 19 }, { "metadata": {}, @@ -561,12 +793,27 @@ "id": "1c4e6b130d4b0cfd" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.655278139Z", + "start_time": "2026-05-24T00:17:42.590981503Z" + } + }, "cell_type": "code", "source": "df = cleaning.normalize_labels(df)", "id": "cdf6ea1f4212f23", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unique Departure station: 64\n", + "Unique Arrival station: 63\n", + "Unique Service: 2\n" + ] + } + ], + "execution_count": 20 }, { "metadata": {}, @@ -593,7 +840,12 @@ "id": "b167613b53bb3b24" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.729927906Z", + "start_time": "2026-05-24T00:17:42.662001186Z" + } + }, "cell_type": "code", "source": [ "comp_df = cleaning.convert_numerics(comp_df)\n", @@ -607,8 +859,45 @@ "print(comp_df[\"Nom_Gare\"].head(10).to_string())" ], "id": "4a1de4f760348f8e", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All 1 numeric columns successfully converted.\n", + "Dtypes after cast:\n", + "Nom_Gare string\n", + "Trigramme string\n", + "Segment(s) DRG string\n", + "Id_Gare string\n", + "Code_UIC string\n", + "Position géographique string\n", + "Unique Nom_Gare: 2782\n", + "Dtypes after normalisation:\n", + "Nom_Gare string\n", + "Trigramme string\n", + "Segment(s) DRG string\n", + "Position géographique string\n", + "Code commune int64\n", + "Code_UIC string\n", + "Id_Gare string\n", + "dtype: object\n", + "\n", + "Sample of normalised station names:\n", + "0 ABANCOURT\n", + "1 ABBARETZ\n", + "2 ABBEVILLE\n", + "3 ABLON-SUR-SEINE\n", + "4 ACHÈRES GRAND CORMIER\n", + "5 ACHÈRES VILLE\n", + "6 ACHIET-LE-GRAND\n", + "7 AÉROPORT CHARLES DE GAULLE 1\n", + "8 AÉROPORT CHARLES DE GAULLE 2 TGV\n", + "9 AGAY\n" + ] + } + ], + "execution_count": 21 }, { "metadata": {}, @@ -629,7 +918,12 @@ "id": "2f13b3ebb1d4c485" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.879295464Z", + "start_time": "2026-05-24T00:17:42.742896882Z" + } + }, "cell_type": "code", "source": [ "cplots.plot_comp_segment_distribution(comp_df)\n", @@ -638,8 +932,30 @@ "print(seg.value_counts().to_string())" ], "id": "911b5169aed61783", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Station count by primary segment:\n", + "Segment(s) DRG\n", + "C 1568\n", + "B 1081\n", + "A 133\n" + ] + } + ], + "execution_count": 22 }, { "metadata": {}, @@ -665,15 +981,28 @@ "id": "e74cf6873d1d529f" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:42.940608004Z", + "start_time": "2026-05-24T00:17:42.881737205Z" + } + }, "cell_type": "code", "source": [ "clusterer = cleaning.StationClusterer()\n", "df, station_cols, cluster_stats = clusterer.fit_transform(df)" ], "id": "f7884ada829740c1", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Station-like columns detected: ['Departure station', 'Arrival station']\n" + ] + } + ], + "execution_count": 23 }, { "metadata": {}, @@ -690,12 +1019,60 @@ "id": "daa6589124fbce1d" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.001938390Z", + "start_time": "2026-05-24T00:17:42.941946930Z" + } + }, "cell_type": "code", "source": "clusterer.print_merges()", "id": "96a2ee882234f01e", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "ANGERS SAINT LAUD\n", + " 'ANGERS SAINT LAUD'\n", + " ↳ 'ANGERS ST LAUD'\n", + "\n", + "BORDEAUX SAINT JEAN\n", + " 'BORDEAUX SAINT JEAN'\n", + " ↳ 'BORDEAUX ST JEAN'\n", + "\n", + "MARSEILLE SAINT CHARLES\n", + " 'MARSEILLE SAINT CHARLES'\n", + " ↳ 'MARSEILLE ST CHARLES'\n", + "\n", + "NANCY\n", + " ↳ 'ANNECY'\n", + " 'NANCY'\n", + "\n", + "NANTES\n", + " 'NANTES'\n", + " ↳ 'VANNES'\n", + "\n", + "PARIS LYON\n", + " 'PARIS LYON'\n", + " ↳ 'PARIS NORD'\n", + "\n", + "REIMS\n", + " ↳ 'NIMES'\n", + " 'REIMS'\n", + "\n", + "SAINT ETIENNE CHATEAUCREUX\n", + " 'SAINT ETIENNE CHATEAUCREUX'\n", + " ↳ 'ST ETIENNE CHATEAUCREUX'\n", + "\n", + "SAINT MALO\n", + " 'SAINT MALO'\n", + " ↳ 'ST MALO'\n" + ] + } + ], + "execution_count": 24 }, { "metadata": {}, @@ -704,7 +1081,12 @@ "id": "8d5896062a5c0a28" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.061917725Z", + "start_time": "2026-05-24T00:17:43.003632224Z" + } + }, "cell_type": "code", "source": [ "report.record_station_clustering(cluster_stats, station_cols)\n", @@ -714,16 +1096,43 @@ "print(f\"Threshold used : {cluster_stats['threshold']}\")" ], "id": "c9e176c55f38bf2e", - "outputs": [], - "execution_count": null - }, - { - "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Clusters total : 55\n", + "Clusters merged : 4\n", + "Variants merged : 4\n", + "Threshold used : 80\n" + ] + } + ], + "execution_count": 25 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.184396704Z", + "start_time": "2026-05-24T00:17:43.066834841Z" + } + }, "cell_type": "code", "source": "cplots.plot_station_clustering(cluster_stats[\"merged\"], cluster_stats[\"total\"], clusterer.clusters)", "id": "d520f6d41a85d934", - "outputs": [], - "execution_count": null + "execution_count": 26, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ] }, { "metadata": {}, @@ -746,7 +1155,12 @@ "id": "972ef0b5a2609d3d" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.326808916Z", + "start_time": "2026-05-24T00:17:43.189712182Z" + } + }, "cell_type": "code", "source": [ "comp_clusterer = cleaning.StationClusterer(\n", @@ -768,8 +1182,30 @@ ")" ], "id": "42b54d5921db913e", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Station-like columns detected: []\n", + "Clusters total : 0\n", + "Clusters merged : 0\n", + "Variants merged : 0\n", + "Threshold used : 80\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 27 }, { "metadata": {}, @@ -797,12 +1233,26 @@ "id": "7b64161b86f6687" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.391366624Z", + "start_time": "2026-05-24T00:17:43.328237709Z" + } + }, "cell_type": "code", "source": "df, dep_late, dep_all = cleaning.recover_departure_delay(df)", "id": "d261e05cb430a23a", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dep_late filled from dep_all : 322 row(s)\n", + "dep_all filled from dep_late : 329 row(s)\n" + ] + } + ], + "execution_count": 28 }, { "metadata": {}, @@ -811,12 +1261,25 @@ "id": "1d7c1287c1b0ee3a" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.451192232Z", + "start_time": "2026-05-24T00:17:43.393743492Z" + } + }, "cell_type": "code", "source": "print(f\"dep_late={dep_late}, dep_all={dep_all}\")", "id": "d5314670392f9ec5", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dep_late=322, dep_all=329\n" + ] + } + ], + "execution_count": 29 }, { "metadata": {}, @@ -840,12 +1303,26 @@ "id": "a9537e0637736723" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.521466699Z", + "start_time": "2026-05-24T00:17:43.458247455Z" + } + }, "cell_type": "code", "source": "df, arr_late, arr_all = cleaning.recover_arrival_delay(df)", "id": "975160971c6b0ee8", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "arr_late filled from arr_all : 310 row(s)\n", + "arr_all filled from arr_late : 322 row(s)\n" + ] + } + ], + "execution_count": 30 }, { "metadata": {}, @@ -854,15 +1331,28 @@ "id": "aec1a2a79351198" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.585518328Z", + "start_time": "2026-05-24T00:17:43.527669166Z" + } + }, "cell_type": "code", "source": [ "report.record_delay_recovery(dep_late, dep_all, arr_late, arr_all)\n", "print(f\"arr_late={arr_late}, arr_all={arr_all}\")" ], "id": "c85adb8bbcc32ff4", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "arr_late=310, arr_all=322\n" + ] + } + ], + "execution_count": 31 }, { "metadata": {}, @@ -881,7 +1371,12 @@ "id": "f27a3ef6424f4893" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.645855805Z", + "start_time": "2026-05-24T00:17:43.587016810Z" + } + }, "cell_type": "code", "source": [ "remaining = df.isnull().sum()\n", @@ -893,8 +1388,35 @@ " print(\"No remaining NaN.\")" ], "id": "17df117e78a2737e", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Columns with remaining NaN (left as null intentionally):\n", + "Average journey time 349\n", + "Number of scheduled trains 25\n", + "Number of cancelled trains 247\n", + "Number of trains delayed at departure 248\n", + "Average delay of late trains at departure 15\n", + "Average delay of all trains at departure 17\n", + "Number of trains delayed at arrival 254\n", + "Average delay of late trains at arrival 25\n", + "Average delay of all trains at arrival 17\n", + "Number of trains delayed > 15min 244\n", + "Average delay of trains > 15min (if competing with flights) 313\n", + "Number of trains delayed > 30min 243\n", + "Number of trains delayed > 60min 255\n", + "Pct delay due to external causes 337\n", + "Pct delay due to infrastructure 317\n", + "Pct delay due to traffic management 340\n", + "Pct delay due to rolling stock 324\n", + "Pct delay due to station management and equipment reuse 348\n", + "Pct delay due to passenger handling (crowding, disabled persons, connections) 326\n" + ] + } + ], + "execution_count": 32 }, { "metadata": {}, @@ -903,15 +1425,35 @@ "id": "360dba3b3207dbc1" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.704265955Z", + "start_time": "2026-05-24T00:17:43.649090690Z" + } + }, "cell_type": "code", "source": "report.record_recovery_summary(df)", "id": "f8f1c112693c3ffd", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nulls post recovery : 4244\n", + "Recovered algebraic : 1283\n", + "Algebraic coverage : 3.3% of initial nulls\n" + ] + } + ], + "execution_count": 33 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.771314698Z", + "start_time": "2026-05-24T00:17:43.705141769Z" + } + }, "cell_type": "code", "source": [ "cplots.plot_algebraic_recovery(\n", @@ -920,8 +1462,19 @@ ")" ], "id": "7ccdbe99e1474c91", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 34 }, { "metadata": {}, @@ -936,7 +1489,12 @@ "id": "bc62a72341ea56e2" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.828336517Z", + "start_time": "2026-05-24T00:17:43.773190210Z" + } + }, "cell_type": "code", "source": [ "print(f\"Original : {original_file.shape[0]} rows, {original_file.shape[1]} columns\")\n", @@ -944,8 +1502,18 @@ "print(f\"Removed : {original_file.shape[0] - df.shape[0]} rows, {original_file.shape[1] - df.shape[1]} columns\")" ], "id": "286820ce67fdb1af", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original : 12070 rows, 26 columns\n", + "Cleaned : 11260 rows, 23 columns\n", + "Removed : 810 rows, 3 columns\n" + ] + } + ], + "execution_count": 35 }, { "metadata": {}, @@ -954,7 +1522,12 @@ "id": "f2446aa8ae3bd27b" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.896561896Z", + "start_time": "2026-05-24T00:17:43.832916590Z" + } + }, "cell_type": "code", "source": [ "report.record_pipeline_summary(\n", @@ -977,16 +1550,45 @@ " print(f\"{step:<35} {n:>8,} {n / original_file.shape[0]:>8.1%}\")" ], "id": "ecaab0a101968c8d", - "outputs": [], - "execution_count": null - }, - { - "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Step Rows Retained\n", + "────────────────────────────────────────────────────────\n", + "Raw dataset 12,070 100.0%\n", + "After deduplication 11,896 98.6%\n", + "After critical NaN drop 11,260 93.3%\n", + "Final (cleaned) 11,260 93.3%\n" + ] + } + ], + "execution_count": 36 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:43.969596504Z", + "start_time": "2026-05-24T00:17:43.899831983Z" + } + }, "cell_type": "code", "source": "cplots.plot_retention_funnel(steps, original_file.shape[0])", "id": "c36768e67ec2121d", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 37 }, { "metadata": {}, @@ -1006,7 +1608,12 @@ "id": "5145603995987e01" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.049146869Z", + "start_time": "2026-05-24T00:17:43.973229903Z" + } + }, "cell_type": "code", "source": [ "print(f\"Original : {comp_original.shape[0]} rows, {comp_original.shape[1]} columns\")\n", @@ -1036,8 +1643,38 @@ "cplots.plot_retention_funnel(comp_steps, comp_original.shape[0])" ], "id": "e43abb9d043e5422", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original : 2782 rows, 7 columns\n", + "Cleaned : 2782 rows, 7 columns\n", + "Removed : 0 rows\n", + "\n", + "Remaining null values per column:\n", + " None — dataset is complete.\n", + "\n", + "Step Rows Retained\n", + "──────────────────────────────────────────────────────────────\n", + "Raw dataset 2,782 100.0%\n", + "After deduplication 2,782 100.0%\n", + "After critical NaN drop 2,782 100.0%\n", + "Final (cleaned) 2,782 100.0%\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 38 }, { "metadata": {}, @@ -1054,12 +1691,26 @@ "id": "41151e1457536ee5" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.111486106Z", + "start_time": "2026-05-24T00:17:44.053371139Z" + } + }, "cell_type": "code", "source": "df = features.add_time_features(df)", "id": "6ae180a6d1301b3c", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Years : [2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025]\n", + "Months : [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n" + ] + } + ], + "execution_count": 39 }, { "metadata": {}, @@ -1081,12 +1732,30 @@ "id": "ca97299133e9d51a" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.173044523Z", + "start_time": "2026-05-24T00:17:44.112908606Z" + } + }, "cell_type": "code", "source": "df = features.add_season(df)", "id": "d016fa3d07753d55", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Season distribution:\n", + "season\n", + "summer 2832\n", + "autumn 2820\n", + "winter 2818\n", + "spring 2790\n" + ] + } + ], + "execution_count": 40 }, { "metadata": {}, @@ -1109,12 +1778,31 @@ "id": "304acec63f507fe5" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.231737407Z", + "start_time": "2026-05-24T00:17:44.174321189Z" + } + }, "cell_type": "code", "source": "df = features.add_delay_category(df)", "id": "ce74bedee1dccf35", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Delay category distribution:\n", + "delay_category\n", + "early 217\n", + "on_time 4954\n", + "slight 5684\n", + "moderate 373\n", + "severe 15\n" + ] + } + ], + "execution_count": 41 }, { "metadata": {}, @@ -1134,12 +1822,25 @@ "id": "e7e5ca863c524917" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.291554603Z", + "start_time": "2026-05-24T00:17:44.232623413Z" + } + }, "cell_type": "code", "source": "df = features.add_cancellation_rate(df)", "id": "28cec55abc083c17", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cancellation_rate — min: 0.0000 mean: 0.0385 max: 0.9268\n" + ] + } + ], + "execution_count": 42 }, { "metadata": {}, @@ -1160,12 +1861,25 @@ "id": "58bc401463d7dc40" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.351423004Z", + "start_time": "2026-05-24T00:17:44.295273198Z" + } + }, "cell_type": "code", "source": "df = features.add_punctuality_rate(df)", "id": "b0b0f95e9c0e3105", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "punctuality_rate — min: 0.0000 mean: 0.8611 max: 1.0000\n" + ] + } + ], + "execution_count": 43 }, { "metadata": {}, @@ -1185,12 +1899,26 @@ "id": "3d77e8ee249dc191" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.412665341Z", + "start_time": "2026-05-24T00:17:44.357057089Z" + } + }, "cell_type": "code", "source": "df, neg_fixed = cleaning.fix_negative_counts(df)", "id": "cee40176af157e13", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[FIXED] Number of trains delayed > 30min: 41 negative value(s) → route median\n", + "Total: 41 fix(es)\n" + ] + } + ], + "execution_count": 44 }, { "metadata": {}, @@ -1199,12 +1927,25 @@ "id": "f5b34b6830532a91" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.473738701Z", + "start_time": "2026-05-24T00:17:44.416603107Z" + } + }, "cell_type": "code", "source": "print(f\"neg_fixed={neg_fixed}\")", "id": "360c60003a2d222c", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "neg_fixed=41\n" + ] + } + ], + "execution_count": 45 }, { "metadata": {}, @@ -1219,12 +1960,27 @@ "id": "5ecb6e973feae0b5" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.577956679Z", + "start_time": "2026-05-24T00:17:44.487336043Z" + } + }, "cell_type": "code", "source": "df, overflow_fixed = cleaning.fix_count_overflow(df)", "id": "8c2114153fa3d5ac", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[FIXED] Number of cancelled trains: 54 value(s) exceeded scheduled → route median\n", + "[FIXED] Number of trains delayed at departure: 15 value(s) exceeded scheduled → route median\n", + "Total: 69 fix(es)\n" + ] + } + ], + "execution_count": 46 }, { "metadata": {}, @@ -1233,12 +1989,25 @@ "id": "dc4abf681e83f5b2" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.636939881Z", + "start_time": "2026-05-24T00:17:44.579297185Z" + } + }, "cell_type": "code", "source": "print(f\"overflow_fixed={overflow_fixed}\")", "id": "fb766e9630ac3c51", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "overflow_fixed=69\n" + ] + } + ], + "execution_count": 47 }, { "metadata": {}, @@ -1257,12 +2026,27 @@ "id": "a872f024a98adb21" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.724231093Z", + "start_time": "2026-05-24T00:17:44.638190764Z" + } + }, "cell_type": "code", "source": "df, hier_fixed = cleaning.fix_delay_hierarchy(df)", "id": "a775ccb8bc7cd686", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[FIXED] Number of trains delayed > 30min > Number of trains delayed > 15min: 3 row(s)\n", + "[FIXED] Number of trains delayed > 60min > Number of trains delayed > 30min: 311 row(s)\n", + "Total: 314 fix(es)\n" + ] + } + ], + "execution_count": 48 }, { "metadata": {}, @@ -1271,12 +2055,17 @@ "id": "e2740e718382e83b" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.773039074Z", + "start_time": "2026-05-24T00:17:44.725505430Z" + } + }, "cell_type": "code", "source": "report.record_corrections(neg_fixed, overflow_fixed, hier_fixed)", "id": "5498bd3ca90056e0", "outputs": [], - "execution_count": null + "execution_count": 49 }, { "metadata": {}, @@ -1291,20 +2080,50 @@ "id": "2517ea48befad722" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.844315844Z", + "start_time": "2026-05-24T00:17:44.781009686Z" + } + }, "cell_type": "code", "source": "df = cleaning.recompute_rates(df)", "id": "47b3739dad953e0a", - "outputs": [], - "execution_count": null - }, - { - "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cancellation_rate — min: 0.0000 mean: 0.0385 max: 0.9268\n", + "punctuality_rate — min: 0.0000 mean: 0.8611 max: 1.0000\n" + ] + } + ], + "execution_count": 50 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.930481451Z", + "start_time": "2026-05-24T00:17:44.845163795Z" + } + }, "cell_type": "code", "source": "cplots.plot_corrections(neg_fixed, overflow_fixed, hier_fixed)", "id": "e06334d8efcd4898", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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Txnr48KGOHTtm8rIsLd++tvzyywI5u7hE2OfmrVvmlAsgAgQLAHFKtmzZdPLk74bHtra2sre316HDb8cF3L3rK0nKkSO70ekviRMnVubMmXXs+HGj5Xl4eMjDw0OzZ89RsWJFtWP7NrVt21ZTp06T9PaD9PHjJ3T8+AmNHSv17t1LQ4cMVtmyZXTsmPGy/snKykpZsnyhGzf+/81p9uzZJUk+PhEPSH7y5ImeP38uK0ur9y77fXx8fHT27Dk1aFBfy5YtV53atbV3337DOeSSVLdubb1+/Vqtv21j1N6yRYsPLv+vv/6S9PbqQ//8ZvrfV3C6dfv22216/CRK23L79m39+utC/frrQmXLllUH9u9T9+7d1PuHiK+k9e5oUJ684a/0886TJ0/04sUL5ciRI9y0nDlz6s2bN2Z9+L91+7by5cv3we27feu2rKyslDt3Ll25cjXSfpF9+L59+7aSJbP94Hru+t5VuXJlZWtra3TUIqLtf58P7WOm/m5NEabIA0hoaKictm1Xi+bNNdFxkmrVrKk1a9dFGPCzZcsWri179uyGcRvv/n6CQ0KifRsARI4xFgDilDbffqtEif7/nUf7dm2VOHFiHTnsLOntwO/Xr1+rc6dORvN9800rpUqVSocOvv1wlDx5cllZWRn1cXf30Js3b5Tk70uFpk6dOtz6r/z9DXpElxP9t44dOhg/7theQUFB4cLNO6Ghodq9e4/q1Kkd4aUxP/vssw+uU3p7dahiRYuqVauWSps2rXbs2GE0/c2bUIWFhRkdZXBwcFCtWjU/uOx3HypL/X1ev/T2vgTNmzcz6ufs7KJnz56pd+9eRr+vf2+LTdKkSpIkifE6bt1WQECArJNE/hw/ffpUv//+h1q1bKlMGTNG2Cc0NFQuLkdVo0Z1o+CTLl06NW7UUKdPn1FAQMAHtjhyO3fuUsYMGfTtt63DTUuaNKnhfg179+3Tmzdv1LdPn/eO1Xnx8kWEl4bduXOXihUrpooVK4abljJlSsPf8eFDR5Q4cWK1b9fWMN3S0lKdOnY0abs+tI9F9Xf7Md4Fosgukbtl8xalSZNaU6ZMUvLkybU1gtOgJKlWrZpGYyQKFSqkokWK6PCRt9vw5MkTnTh5Um3afCt7e/to3QYAkeOIBYA4JXHixNq4Yb127typHDlyqH37djp16rT27d8v6e0Hznnz5qt//35au2a19u8/oBw5sqt9+3Y6d+68tmx9+0GkXNmymjBxvHbt+k03btxQIisrNW3aVG/evNFvu99eJapv3x9VqmRJHTx0WL537yptunRq376d7t27p9Onz0Rao/R2PEmlypU0a9YMnTt3XlUqV1L1atU0e87ccONM/mmi4ySVKVNav+3aoTVr18rT00tpUqfWV19/pfLlyiv/V19/8DnauXOnRo0coVEjR+jpn3+G+0b20KFD+q57N61Zs1pO27YpXdq06tChvW7euqX8+fK9d9kuLkd19+5dTZ8+Tb/8skBvQkPVqmULPXny1OjDe0BAgIYOHa45c2Zp39492r5jh548eaJMmTKpWtUqOnPGVcNHjFT2HNm1YcN67dy5S16engp580a1a9WSvb290eVxIzJy1Chtc9qqffv2aPWatbpz544yZ86salWrqHqNWpKkKVOnqUKF8tq2batWrFipNyEhatOmjaytrTVh4sQPPpfvs3nzFtWvX09TJk9S2TJldObMGVlaWSlnzpyqX7+eWrduo4sXL+rWrVuaM2eu+vbto21OW7R7z14FvX6tgoUK6uGDh4arJV26eEnt2rXVjz/+oFs3b+nxk8c6ceKkfvllgWrUqK6VK5Zp48ZNunjpkmxtbZU3b17Vq1tHJUuW1tM//9T+Awd0+vRpDRs2VJkzZ5anp5dq16mlFClTfGBLjH1oH4vq7/ZjXLx4SZI0ePAgbd++QyHBIdp/4IBhcPblK1fk7u6hBvXry9PTU5cuX45wOTdv3tI2py1auXKVrJMkUZcunfX06VP9/PP/TycbNmyEtjlt1eFDB7RmzVrdvnNHdnZ2Klq0iDJkyKDq1T8ctAGYhmABIE4ZPmKkmjRppAEDBihx4kTatm274ZKu70yfMVNPnjxVx47tNWbMKPn7+2v1mrWaPHmK4fzvK1evysXZRdWrVVP69On18tVLXb16VW3attPZs+ckSfv3H1Bmh8xq1bKlPvssjZ4+/VN//PGHfpo+3TDAOzKhoW/07bdtNXmSo0aOGK6AgABNnz5DM2bOeu98jx8/Vp269dWvbx/VqV1b7du1059//ilPT09NdHSM0nN0//4Dubq6qkSJElqzZm24c95PnDipfv0GqGevHho7ZrR8fHw00XGSMjs4fDBYhISEqHPnrnKcNFEDBw6Qn5+fFi1eor/++kuzZs4w6uu0bZsePHygXj176vvvusvaOokePHig06dPa/3fV1i6d++etm/brnLlyqpZ0yYKCQnRdW9vdev+XbhLiP7b1avuqle/oQYNHKB2bdsoSZKk8vW9q507dxn6eHp6qnHjpho6dIh69+opS0tLnT13Tr1/+CHcPSxMFRYWpk6duqhb1y5q1qyZatWqqZcvX+nOnTtasniJYbC+JE37abru3PFRp04dNHjQQL18+Uru7u7a8o9v3GfMnKVMDpnU4/vvlCJFCp08+btOnDipl69eqUnT5vrhh96qV6+umjVrqoCAAN24cUM/TZ+hZ3//LYaFhalDx84aO3a0mjRprLCwMO0/cEDjxo3Xgf0R31wuIlHZx6Lyu/0YFy5c0JSp09S2bRtVrlRJVlZWKlGytNGlZzdv3qyRI0dEOGj7/322KDQsVF27dFbatGl1/vwFDR8xQo8ePTL08fLyUu06ddWvXx+1aNFcadKk0eMnT3Tl8mXN/MB+CuDjWGTI6GD+iCsAMFOLFs01a+YM1apdVxcvRnx1HAAfL77sY507d9LYMaNVsmTpcJcadnBw0OlTv4e7LwqAuIExFgAAIM74plUr/f7HH5HevwRA3MWpUAAAIFbZ2NioZo0aKlOmtPLl+1IdOnT68EwA4hyCBQAAiFVp06bVzz/Pk7+/v2bPmav9Bw7EdkkAPgJjLAAAAACYjTEWAAAAAMxGsAAAAABgNsZY/O3zzz9XYGBgbJcBAAAAxCnJkiXTw4cPP9iPYKG3oeLcWdfYLgMAAACIkwoXKfbBcEGwkAxHKgoXKcZRCwAAAOBvyZIl07mzrlH6jEyw+IfAwEAFBATEdhkAAABAvMPgbQAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAErB27drq4IH9uuZxVdc8rmrHjm2qXLmSYfq337bW5k0bdc3jqu75+ihlypSRLsva2loH9u/VPV8f5c+fL8ZrR9xCsAAAAEjA7t+/L8dJk1Srdh3VrlNXJ06c1LKlS5Q7d25Jko2NjZydnTV37rwPLmvE8GF68OD9d2fGfxc3yAMAAEjADhw4aPR4ypSpate2rYoWKSxPT08tXrxEklS6dKn3Lqdy5UqqWLGCunTtrqpVq8RQtYjLCBYAAACQJFlaWqp+vXqytbWRq9vZKM+XLl06TZs2VZ06ddHLly9jsELEZQQLAACABC5v3rzauWObkiRJosDAQHXu0lVeXl5Rnn/WzBlatWq1Ll68KAcHhxisFHEZYywAAAASOG9vb1WvUUt16zXQypWrNHvWTOXKlStK83bu1FHJkyeL0hgM/LdxxAIAACCBCw4O1q1btyRJly5dUqFCBdWlSycNHjz0g/OWLVtWRYsW1a2b3kbte3b/pq1OTurTp19MlIw4iGABAAAAIxaWlrK2ThKlviNHjtKUqdMMj9N//rnWrVuj777voXPnzsVUiYiDCBYAAAAJ2NAhg3X4iLN8fX2VPHlyNW7UUGVKl1br1m0kSXZ2drK3t1O2rFklvR2PERgYIF/fe/L395fvvXtGywsMDJQk3b59W/fvP/ik24LYRbAAAABIwNKlS6c5s2fK3t5ez58/l7u7u1q3bqOjx45Jktq1baP+/f9/OtM2py2SpD59+2njxk2xUjPiJosMGR3CYruI2JY8eXJ5XnNX7jxfKiAgILbLAQAAAOIEUz4nc1UoAAAAAGbjVCgAABBvZW5yKLZLAGKcz9aqsV1ClHDEAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzxWqwaNeurQ4e2K9rHld1zeOqduzYpsqVKxmmJ0mSRI4TJ+jy5Yvy8vTQooW/Kl26dEbLyJQxo1auXC7v6566eOGcRo4YLisrq0+6HQAAAEBCF6vB4v79+3KcNEm1atdR7Tp1deLESS1bukS5c+eWJI0ZM1rVq1dT9+7fqUnT5vo8/edasnihYX5LS0utXLlC1okTq0HDRvqxT1+1aNFcAwcOiK1NAgAAABKkWA0WBw4c1OHDR3Tz5i3duHFTU6ZMVWDgCxUtUlgpUqTQN61aaszYcTpx4qQuXbqkfn37q3jx4ipSpLAkqWLFCsqdO5d69f5RV65c1ZEjzpo67Sd1aN9OiRMnjs1NAwAAABKUODPGwtLSUg0bNJCtrY1c3c6qQIGvZW1trWPHjhv6XPf21t27d1W0aFFJUrGiReXh4aHHjx8b+jg7uyhlypTK8/dRDwAAAAAxL1FsF5A3b17t3LFNSZIkUWBgoDp36SovLy99lT+/Xr9+rWfPnhn19/N7LHs7O0mSnZ2d/PweG01/7Of3dpq9nXQl4nVaW1vL2tra8DhZsmTRuEUAAABAwhPrwcLb21vVa9RSihQpVK9uHc2eNVNNmjaP0XX27tVT/fv3i9F1AAAAAAlJrAeL4OBg3bp1S5J06dIlFSpUUF26dNKOHTuVJEkSpUyZ0uiohZ1dOj36+6iEn5+fChcuZLS8dH8fzfB75BfpOufOm69fFy4yPE6WLJnOnXWNpi0CAAAAEp44M8biHQtLS1lbJ9HFi5cUFBSkcuXKGqblyJFdDg4OcnNzkyS5urkpb968Sps2raFPhQrl9ezZM3l6eUW6jqCgIAUEBBh+AgMDY26DAAAAgAQgVo9YDB0yWIePOMvX11fJkydX40YNVaZ0abVu3UbPnz/XuvUbNGb0KPn7++v58wBNnDBOrq6uOnv2nCTJxeWoPD29NHfObE2YOFF2dvYaPGiglq9YqaCgoNjcNAAAACBBidVgkS5dOs2ZPVP29vZ6/vy53N3d1bp1Gx09dkySNGbMWIWFhmrRwoVKksRazs4uGjpsuGH+0NBQtWvfQZMnOWrnju168eKFNm3arGnTfoqtTQIAAAASJIsMGR3CYruI2JY8eXJ5XnNX7jxfKiAgILbLAQAAUZS5yaHYLgGIcT5bq8bauk35nBznxlgAAAAAiH8IFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmC1Wg0WvXj21+7dd8rzmrosXzmnpksXKkSO7UZ/Nmzbqnq+P0c/kyY5GfTJlzKiVK5fL+7qnLl44p5EjhsvKyupTbgoAAACQoCWKzZWXLlVKy1es0PnzF5QokZWGDBmsdWvXqGKlKnr58qWh3+rVazTtp+mGx/+cZmlpqZUrV8jP75EaNGwke3t7zZk9S8EhIZo8econ3R4AAAAgoYrVYPFtm7ZGj/v06afLly6oQIECOnXqlKH95auX8vPzi3AZFStWUO7cudSy1Td6/Pixrly5qqnTftLwYUM1ffoMBQcHx+g2AAAAAIhjYyxSpkwpSfL39zdqb9K4sS5fuqDDhw5q6JDBskma1DCtWNGi8vDw0OPHjw1tzs4uSpkypfLkzv1J6gYAAAASulg9YvFPFhYWGjt2tE6fPq1r164Z2p22bdPdu756+PChvvwyr4YPH6YcOXKoS9dukiQ7Ozv5+T02Wtbjv49u2NnbSVfCr8va2lrW1taGx8mSJYuBLQIAAAASjjgTLBwdJypvnjxq1LiJUfuaNWsN//fw8NCjR4+0aeMGZcmSRbdv3/6odfXu1VP9+/czq14AAAAA/xcnToWaOGG8qlerqmbNW+r+/Qfv7Xv27DlJUtasWSVJfn5+srNLZ9QnnZ3d22mPIh6XMXfefOXO86Xhp3CRYmZuAQAAAJCwxXqwmDhhvGrVqqXmLVrKx8fng/2/yp9fkvTo0UNJkqubm/Lmzau0adMa+lSoUF7Pnj2Tp5dXhMsICgpSQECA4ScwMDAatgQAAABIuGL1VChHx4lq3KihOnbqooCAQNn9faTh+fPnevXqlbJkyaLGjRvp0KHD+vPPP5Xvyy81Zsxo/f77H3J395Akubgclaenl+bOma0JEyfKzs5egwcN1PIVKxUUFBSbmwcAAAAkGLEaLDq0bydJ2rplk1F7n779tHHjJgUHB6l8uXLq0qWzbG1sdO/+fe3evVuzZs8x9A0NDVW79h00eZKjdu7YrhcvXmjTps2aNu2nT7otAAAAQEIWq8EiY6bM751+7959NW3W/IPL8fX1Vdt27aOrLAAAAAAmivUxFgAAAADiP4IFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYzexgkTx5ctWqWVM5c+aMjnoAAAAAxEMmB4sFC35Wxw7tJUlJkybVnj2/acGCn3Xo4H7VqVM72gsEAAAAEPeZHCxKlSypU6dPS5Jq16olCwsLffllfo0cNVp9fvwh2gsEAAAAEPeZHCxSpEgpf39/SVKlyhW1+7fdevnqlQ4dPKRs2bJFd30AAAAA4gGTg8W9+/dUtGhR2djYqHKlSnI5elSSlCp1Kr1+/TraCwQAAAAQ9yUydYbFi5do3tw5CgwMlK+vr06e/F3S21Ok3D08or1AAAAAAHGfycFixYqVOnfuvDJmzKijR48qLCxMknT7zh1NnTIt2gsEAAAAEPeZHCwk6eLFi7p48aJR26FDh6OlIAAAAADxj8nBwtLSUi1bNFe5cuWULl1aWVgaD9No0aJVtBUHAAAAIH4wOViMHzdWLVo016FDh+Vx7Zr+PhMKAAAAQAJmcrBo2LCBun/3vQ4fPhIT9QAAAACIh0y+3GxQULBu3boVA6UAAAAAiK9MDha/LlyoLp07x0QtAAAAAOIpk0+FKlG8uMqUKa3KlSvJ09NTwcEhRtO7dO0WTaUBAAAAiC9MDhbPnj3T3r37YqIWAAAAAPGUycGib7/+MVEHAAAAgHjso26QJ0mfffaZcubIIUm67u2tp0+fRltRAAAAAOIXk4OFjY2NJk4Yr2bNmsry75vjvXnzRps3b9GIESP18tWraC8SAAAAQNxm8lWhxowZpVKlSql9h47K+2V+5f0yvzp26qxSpUpp1OhRMVEjAAAAgDjO5GBRt04d9R8wQEeOOCsgIEABAQE6fPiIBg4apHp168REjQAAAADiOJODhY2Njfz8Hodrf/z4iWxsbKKlKAAAAADxi8nBwtXNTQMG9FOSJEkMbUmTJlW/fn3k5uYWrcUBAAAAiB9MHrw9atQYrV2zWm6up3Xl6lVJUv58+fTq9Wu1bt0m2gsEAAAAEPeZHCyuXbumcuXKq3GTxsqZM6ckafu27drqtE2vuCIUAAAAkCB91H0sXr56pbVr10V3LQAAAADiqSgFixrVq+vwkSMKCQlRjerV39t3/4ED0VIYAAAAgPgjSsFi6dLFKlioiJ48eaKlSxdH2i8sLEyZv8gaXbUBAAAAiCeiFCwcMmeJ8P/m6tWrp+rUrq2cOXPo1atXcnV100RHR3l73zD0SZIkiUaPGqkGDRsoibW1nJ1dNHTYcD1+/P9L3mbKmFGTJjuqbJkyCgwM1KZNm+U4abLevHkTbbUCAAAAiJzJl5tt1qyprK2tw7UnTpxYzZo1NWlZpUuV0vIVK1SvfkO1+qa1EiVOpHVr1xjdD2PMmNGqXr2aunf/Tk2aNtfn6T/XksUL/78BlpZauXKFrBMnVoOGjfRjn75q0aK5Bg4cYOqmAQAAAPhIFhkyOoSZMoPPnVsqVLionjx5YtSeJk1qXbxw3qxToT777DNdvnRBjZs006lTp5QiRQpdunhePXv11m+/7ZYk5cyRQ0ePOqte/QY6e/acKleupJUrlqtwkWKGoxht27bR8GFD9XWBQgoODv7gepMnTy7Pa+7KnedLBQQEfHT9AADg08rc5FBslwDEOJ+tVWNt3aZ8Tjb5iIWFhYXCwsJnkQwZMujZs+emLs5IypQpJUn+/v6SpAIFvpa1tbWOHTtu6HPd21t3795V0aJFJUnFihaVh4eH0alRzs4uSpkypfLkzh3heqytrZU8eXLDT7JkycyqGwAAAEjoony52f379igsLExhYWHauGG93rwJMUyztLLSF5kz64iz80cXYmFhobFjR+v06dO6du2aJMnezl6vX7/Ws2fPjPr6+T2WvZ2dJMnOzk5+fo+Npj/283s7zd5OuhJ+Xb179VT//v0+ulYAAAAAxqIcLPbu3SdJyp8/v1xcXBQYGGiYFhQcrLs+d/Xb7t0fXYij40TlzZNHjRo3+ehlRNXcefP168JFhsfJkiXTubOuMb5eAAAA4L8qysFixsxZkiSfu3e1ffsOBQUFRVsREyeMV/VqVdW4STPdv//A0P7I75GSJEmilClTGh21sLNLp0d/H5Xw8/NT4cKFjJaX7u+jGX6P/CJcX1BQULTWDwAAACR0Jo+x8PT0Uv78+cK1Fy5cSAUKFDC5gIkTxqtWrVpq3qKlfHx8jKZdvHhJQUFBKleurKEtR47scnBwkJubmyTJ1c1NefPmVdq0aQ19KlQor2fPnsnTy8vkegAAAACYzuRg4ThxgjJmzBiuPX369HKcOMG0ZTlOVJMmjdWzV28FBATKzs5OdnZ2Spo0qSTp+fPnWrd+g8aMHqUyZUrr66+/1swZ0+Xq6qqzZ89JklxcjsrT00tz58xWvnxfqmLFiho8aKCWr1jJUQkAAADgE4nyqVDv5M6dS5cuXQ7XfvnyFeXOncukZXVo306StHXLJqP2Pn37aePGt21jxoxVWGioFi1cqCRJ/n+DvHdCQ0PVrn0HTZ7kqJ07tuvFixfatGmzpk37ydRNAwAAAPCRTA4Wr4OCZGeXTnfu3DFq//xze4WEhEQyV8QyZsr84fW9fq1hw0do2PARkfbx9fVV23btTVo3AAAAgOhj8qlQR12OauiQIUqRIoWhLWXKlBoyeLCOHjsWrcUBAAAAiB9MPmIxbvwEbd2yWadP/a7LV97eJCJ/vnx6/Pixfvjxx2gvEAAAAEDcZ3KwePDggapWq64mTRorf758evXqlTZs2Kht27abfCoUAAAAgP8Gk4OFJL18+VJr1qyN7loAAAAAxFMmj7GQpKZNm2ib0xaddXNVpkyZJEldu3ZRzRo1orU4AAAAAPGDycGiXbu2GjN6lA4fcVaqVKlkZWUlSfrrr7/UpWvnaC8QAAAAQNxncrDo1LGDBg4crDlz5urNm/+Pqbhw4aK+zJs3WosDAAAAED+YHCwyZ/5Cly6Hv0FeUNBr2djYRktRAAAAAOIXk4OFj88dfZU/f7j2ypUq6fp1r2gpCgAAAED8YvJVoRYuXKSJjhOUJGkSWVhYqHChQmrUqKF69+qpAQMGxUSNAAAAAOI4k4PF2nXr9fLVKw0aNFA2NjaaP3+uHjx8qFGjRmv7jh0xUSMAAACAOM6kYGFlZaXGjRvJ2dlFTk7bZJM0qWyTJdOTJ09iqj4AAAAA8YBJYyzevHmjKZMnKUmSJJKkl69eESoAAAAAmD54+9y58/r6q69iohYAAAAA8ZTJYyxWrFypUaNGKkOG9Lp46ZJevHhhNN3d3SPaigMAAAAQP5gcLH75eb4kafz4cYa2sLAwWVhYKCwsTJm/yBptxQEAAACIH0wOFiVLlYmJOgAAAADEYyYFi0SJEmnTxg1q176Drl+/HlM1AQAAAIhnTBq8HRISYrgiFAAAAAC8Y/JVoZavWKGePXvIysoqJuoBAAAAEA+ZPMaiUMGCKleurCpWqCAPD49wV4Xq0rVbtBUHAAAAIH4wOVg8e/ZMu3fviYlaAAAAAMRTJgeLvv36x0QdAAAAAOIxk4PFO5999ply5sghSbru7a2nT59GW1EAAAAA4heTg4WNjY0mThivZs2aytLy7djvN2/eaPPmLRoxYqRevnoV7UUCAAAAiNtMvirUmDGjVKpUKbXv0FF5v8yvvF/mV8dOnVWqVCmNGj0qJmoEAAAAEMeZHCzq1qmj/gMG6MgRZwUEBCggIECHDx/RwEGDVK9unZioEQAAAEAcZ3KwsLGxkZ/f43Dtjx8/kY2NTbQUBQAAACB+MTlYuLq5acCAfkZ34E6aNKn69esjNze3aC0OAAAAQPxg8uDtUaPGaO2a1XJzPa0rV69KkvLny6dXr1+rdes20V4gAAAAgLjP5GBx7do1lStXXo2bNFbOnDklSdu3bddWp216xRWhAAAAgATpo+5j8fLVK61duy66awEAAAAQT5k8xqJXr55q1bJluPZWLVuqZ4/vo6UoAAAAAPGLycGibZtvdd37erj2a57X1LYtYywAAACAhMjkYGFnZ6eHDx+Fa3/y5Kns7e2jpSgAAAAA8YvJweLe/fsqXrxYuPbixYvp4cOH0VIUAAAAgPjF5MHba9es1bixY5Q4UWIdP3FCklS+XDmNGDFMC35dGO0FAgAAAIj7TA4WP/+yQGnSpJGj40RZWyeWJL1+/Vrz5/+sefPmR3uBAAAAAOK+j7rc7ETHSZo5a7Zy5cqlV69e6ebNmwoKCoru2gAAAADEEx8VLCTpxYsXunDhQnTWAgAAACCeMnnwNgAAAAD8G8ECAAAAgNkIFgAAAADMFqVgsW/vbqVKlUqS1LfPj7JJmjRGiwIAAAAQv0QpWOTMmUu2tjaSpH79+so2WbIYLQoAAABA/BKlq0JduXpFM2dM1+nTZ2RhYaHvv+uuwMDACPvOnDU7WgsEAAAAEPdFKVj07dtPA/r3V7Vq1RQWFqbKlSvrzZuQcP3CwsIIFgAAAEACFKVg4e19Q9/36ClJuutzWy1attKTJ09itDAAAAAA8YfJN8hzyJwlJuoAAAAAEI991J23s2TJoq5dOitXrpySJE9PLy1eslS3b9+O1uIAAAAAxA8m38eiYsWKcj5ySIUKFdJVdw9ddfdQ4cKFdeTwQVUoXz4magQAAAAQx5l8xGL4sCFatGixHCdNNmofNnSIhg8fqqO1jkVbcQAAAADiB5OPWOTMmVPr1q8P175+wwblypUrWooCAAAAEL+YHCyePn2q/Pnzh2vPnz+/yVeKKlmypFYsX6qzbq665+ujWjVrGk2fOXOG7vn6GP2sWb3KqE/q1Kk1b+4cXfO4KverlzX9p2mytbU1dbMAAAAAmMHkU6HWrFmrqVMmK8sXX+iMq5skqUTxYurR43stXLTYpGXZ2troylV3rVu/UUuXLIqwz+HDR9S3X3/D46CgIKPp8+bO0eef26vVN62VOFFizZg5XdOmTlHPXr1N3DIAAAAAH8vkYDFz1mwFBAaqe/duGjp0iCTpwcOHmj5jppYsWWrSso4ccdaRI87v7RMUFCQ/P78Ip+XMmVNVqlRWrdp1dfHiRUnSiBGjtHrVCo0bP0EPHz40qR4AAAAAH+ejLje7aNFiLVq0WMmSJZMkBQYGRmtR/1S6dCldvHBOf/31l46fOKmpU6fqzz/9JUnFihaVv7+/IVRI0rFjxxQaGqrChQtr7969ES7T2tpa1tbWhsfvtgMAAADAx/moYPFOTAYKSXI+4qw9u/fojo+PsmbJoiFDBmn1qlWq36ChQkNDZWdvF25cx5s3b+Tv7y97e7tIl9u7V0/1798vRmsHAAAAEhKzgkVM275jh+H/Hh4euururj9+P6EyZUrr+PETH73cufPm69eF/x/TkSxZMp0762pWrQAAAEBCZvJVoWLTnTt39OTJE2XNmlWS5PfIT2nTpjXqY2VlpdSpU+vRo4jHZUhvx20EBAQYfmL6yAsAAADwXxevgkWGDOmVJk0aPXr4SJLk6uam1KlT6+uvvzb0KVe2rCwtLXXu3LnYKhMAAABIcEwKFokSJdKGDeuULVvWaFm5ra2t8ufPp/z580mSMn+RWfnz51OmjBlla2urkSOGq0iRwnJwcFC5cmW1bOkS3bx1S84uLpKk69ev6/DhI/pp2hQVKlRIxYsV04SJ47V9+w6uCAUAAAB8QiaNsQgJCVG+L7+MtpUXLFhAWzZvMjweO2a0JGnDxk0aOnSYvvzySzVv3kwpU6bUw4cP5eJyVFOn/WR0L4tevX/QxAnjtXHDOoWGhmr37j0aMXJUtNUIAAAA4MNMHry9ZauTvmnVSo6TJpu98t9//0MZM2WOdHrrb9t8cBn+/v7cDA8AAACIZSYHi0RWVmrVrq3Kly+vi5cu6sWLl0bTx44dF23FAQAAAIgfTA4WefLm0aXLlyVJ2bNnN5oWFhYWPVUBAAAAiFdMDhbNm7eMiToAAAAAxGMffbnZrFmzqmLFikqaNGl01gMAAAAgHjI5WKRJk1obNqzT8WMuWr1qhezt7SVJM6b/pFGjRkZ7gQAAAADiPpODxZgxoxUSHKLiJUrq5cv/D9zevmOnKleqGK3FAQAAAIgfTB5jUbFCBbX+to3u339g1H7z5k05ODhEW2EAAAAA4g+Tj1jY2toaHal4J3Xq1Hr9jxvXAQAAAEg4TA4Wp06dVrNmzQyPw8LCZGFhoR49vtPJkyejtTgAAAAA8YPJp0JNmOiojRvWqWCBAkqcOLFGjBimPLlzK3Xq1GrYqElM1AgAAAAgjjP5iMW1a9dUrnxFnT5zRvv275etja1279mrGjVr6/bt2zFRIwAAAIA4zuQjFpL0/PlzzZkzN7prAQAAABBPfVSwSJUqlb5p1Uq5cuWUJHl6eWnDho3y9/ePztoAAAAAxBMmnwpVsmRJnfrjpDp37qhUqVIpVapU6typo/74/YRKliwZEzUCAAAAiONMPmLhOHGCduzYqSFDhyk0NFSSZGlpqUmTJspx4gRVrVY92osEAAAAELeZfMQia9as+nXhQkOokKTQ0FAtXLhIWbNmjc7aAAAAAMQTJgeLy5cvKVfOXOHac+XMpavuV6OlKAAAAADxS5ROhfryy7yG/y9Zukzjxo1R1qxZdfbsWUlSkSJF1KFDOzlOmhwTNQIAAACI46IULA7s32e4w/Y7I0YMC9dv/ry52rFjZ/RVBwAAACBeiFKwKFmqTEzXAQAAACAei1Kw8PX1jek6AAAAAMRjH3WDvM8//1wlShRXurRpZWlpPP57ydJl0VIYAAAAgPjD5GDRokVzTZk8ScHBwfrzzz8VFhZmmBYWFkawAAAAABIgk4PFoIEDNHPWbM2dO88oVAAAAABIuEy+j0VSGxtt376DUAEAAADAwORgsX7detWvVzcmagEAAAAQT5l8KpTjpMlauWK5KlWqJA8PDwWHhBhNHzt2XLQVBwAAACB+MDlY9O7dS5UqVZS3t7ekvAqT8eBtAAAAAAmPycGie7eu6td/gDZu3BQT9QAAAACIh0weYxEUFKQzZ87ERC0AAAAA4imTg8XiJUvVqWPHmKgFAAAAQDxl8qlQhQsVUtmyZVStWlV5enoqONh48HaXrt2irTgAAAAA8YPJweLZs2fas2dvTNQCAAAAIJ4yOVj07dc/JuoAAAAAEI+ZPMYCAAAAAP7N5CMWf/x+4r33qyhdppxZBQEAAACIf0wOFosWLzF6nDhRYn31VX5VqlxJC35ZEF11AQAAAIhHTA4WS5YsjbC9Q/v2KliwgNkFAQAAAIh/om2MxeEjR1SnTu3oWhwAAACAeCTagkW9unXk7+8fXYsDAAAAEI+YfCrU/n17jAZvW1hYyM7OTmnTptXQYcOjtTgAAAAA8YPJwWLv3n1Gj0PDwvTkyRP9fvJ3Xff2jrbCAAAAAMQfJgeLGTNnxUAZAAAAAOIzbpAHAAAAwGxRPmJx1+f2e2+MJ0lhYWH6Iks2s4sCAAAAEL9EOVh07tw10mlFixZR586dZGFhES1FAQAAAIhfohws9u3fH64tR47sGjZ0qKpXr6atTk6aNm16tBYHAAAAIH4wefC2JH3++eca0L+fmjdvJhcXF1WvUUvXrl2L7toAAAAAxBMmBYsUKVLoh9691KlTR125ckUtWn6j06dPx1RtAAAAAOKJKAeLHt9/px49e8jv0SP16NErwlOjAAAAACRMUQ4Ww4YN1atXr3Tr1m01b95MzZs3i7Bfl67doq04AAAAAPFDlIPFps1bpA9cbhYAAABAwhTlYNG3b7+YrAMAAABAPBard94uWbKkVixfqrNurrrn66NaNWuG6zNwQH+dO+sq7+te2rB+rbJly2o0PXXq1Jo3d46ueVyV+9XLmv7TNNna2n6iLQAAAAAgxXKwsLW10ZWr7ho2fESE03v2+F6dOnXUkCHDVK9+fb148VJr16xWkiRJDH3mzZ2jPHlyq9U3rdW+fUeVLFVS06ZO+VSbAAAAAEAfeR+L6HLkiLOOHHGOdHqXLp01e/ZcwxWofvixjy6cP6taNWtq+44dypkzp6pUqaxatevq4sWLkqQRI0Zp9aoVGjd+gh4+fPgpNgMAAABI8GL1iMX7fPHFF/r888917PgxQ9vz58917tx5FS1aRJJUrGhR+fv7G0KFJB07dkyhoaEqXLjwJ68ZAAAASKhi9YjF+9jb20mS/PweG7X7PfaTvb29JMnO3k5Pnjwxmv7mzRv5+/sb5o+ItbW1rK2tDY+TJUsWXWUDAAAACVKcDRYxqXevnurfn6tcAQAAANElzp4K9eiRnyTJzi6dUbtdOjs9evRIkuT3yE9p06Y1mm5lZaXUqVMb5o/I3HnzlTvPl4afwkWKRXP1AAAAQMISZ4PFnTt39PDhQ5UrV87Qljx5chUuXEhubmclSa5ubkqdOrW+/vprQ59yZcvK0tJS586di3TZQUFBCggIMPwEBgbG3IYAAAAACUCsngpla2trdF+KzF9kVv78+eT/p798793T4sVL9OMPvXXzxk3d8fHRoIED9PDhQ+3dt0+SdP36dR0+fEQ/TZuiwUOGKXGiRJowcby2b9/BFaEAAACATyhWg0XBggW0ZfMmw+OxY0ZLkjZs3KS+fftp/s+/yNbWVlOnTlbKlCl15swZfdumrV6/fm2Yp1fvHzRxwnht3LBOoaGh2r17j0aMHPXJtwUAAABIyCwyZHQIi+0iYlvy5Mnlec1dufN8qYCAgNguBwAARFHmJodiuwQgxvlsrRpr6zblc3KcHWMBAAAAIP4gWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAACxIn369Jo7Z7YuX74o7+teOnTwgAoUKGCYni5dOs2cOUNn3Vzlfd1Ta1avUrZsWWOvYADAeyWK7QIAAAlPqlSptH3bVp08+bvatGmnJ0+eKHu2bPrrr78MfZYuXayQ4BB17NRZAQHP1a1bV21Yv04VK1XRy5cvY7F6AEBECBYAgE+uZ4/vde/effXt19/Q5uPjY/h/9uzZVKxoUVWqXFWenp6SpCFDhunC+bNq3Kih1q5b/8lrBgC8H6dCAQA+uRo1quvCxYv69ddfdPHCOe3ft0etW39jmG5tnUSS9Pr1a0NbWFiYgoKCVLxEiU9eLwDgwwgWAIBP7osvvlC7tm108+YttW7dRitWrtL4cePUvHkzSdL169d19+5dDR06WKlSpVLixInVs8f3ypgxoz63t4/l6gEAEeFUKADAJ2dpaamLFy9q8uQpkqTLV64ob548atu2jTZt2qyQkBB17tJNM6ZPk/vVywoJCdGxY8d16NBhWVhYxHL1AICIECwAAJ/co0eP5OnpZdTmdf266tSpY3h86dIlVa9RSylSpFDixIn19OlT7dq5QxcvXvzU5QIAooBToQAAn9yZM67KkSOHUVv27Nnl63s3XN/nz5/r6dOnypYtqwoWLKB9+/Z/qjIBACYgWAAAPrmFixarSJHC6t27l7JmzarGjRqpzbettWz5CkOfevXqqnTpUvriiy9Us0YNrV+3Vnv37pPL0aOxWDkAIDKcCgUA+OQuXLigzl26auiQIerb50f5+Pho1OgxcnLaZujzub29xowepXTp0unRo0fatHmLZs2aHXtFAwDei2ABAIgVBw8e0sGDhyKdvmTpMi1ZuuwTVgQAMAenQgEAAAAwG0csAOADMjeJ/Ft14L/CZ2vV2C4BQDzHEQsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwW5wOFv379dU9Xx+jn6MuRwzTkyRJIseJE3T58kV5eXpo0cJflS5dulisGAAAAEiYEsV2AR/i4XFNLVt9Y3j8JiTE8P8xY0arWtUq6t79Oz179lwTJ47XksUL1bBRk9goFQAAAEiw4nywePMmRH5+fuHaU6RIoW9atVTPXr114sRJSVK/vv119KizihQprLNnz33qUgEAAIAEK06fCiVJ2bJl01k3V/1+8rjmzZ2jTBkzSpIKFPha1tbWOnbsuKHvdW9v3b17V0WLFo2tcgEAAIAEKU4fsTh77pz69O0nb29v2dt/rv79+sjJaYsqV6kmezt7vX79Ws+ePTOax8/vsezt7N67XGtra1lbWxseJ0uWLEbqBwAAABKKOH3E4sgRZ+3a9Zvc3T3k4uKiNm3bK2XKlGpQv55Zy+3dq6c8r7kbfs6ddY2mihGX9erZQ/d8fTR27GhD27ffttbmTRt1zeOq7vn6KGXKlLFYIQAAQPwVp4PFvz179kw3btxU1qxZ9cjvkZIkSRLug6CdXTo9imBMxj/NnTdfufN8afgpXKRYTJaNOKBgwYJq0+ZbXbl61ajdxsZGzs7Omjt3XixVBgAA8N8Qr4KFra2tsmTJokePHunixUsKCgpSuXJlDdNz5MguBwcHubm5vXc5QUFBCggIMPwEBgbGdOmIRba2tpo3b44GDhqsv/z/Mpq2ePESzZv/s9zOno2l6gAAAP4b4nSwGDVyhEqVKiUHBwcVK1ZUS5csUmjoGzlt267nz59r3foNGjN6lMqUKa2vv/5aM2dMl6urK1eEghFHxwk6dOiw0UB/AAAARK84PXg7Q4YM+nn+PKVJk1pPnj7VmdNnVK9+Qz19+lSSNGbMWIWFhmrRwoVKksRazs4uGjpseCxXjbikYYMG+vqrr1WnrnnjcgAAAPB+cTpYfN+j53unv379WsOGj9Cw4SM+UUWITzJmzKBx48ao1Tet9fr169guBwAA4D8tTgcLwBwFvi4gOzs77du7x9CWKFEilSpVUh07dFDWbDkUGhoaixUCAAD8dxAs8J917PhxVa5Szaht5ozpuu59XfPn/0KoAAAAiEYEC/xnBQYG6tq1a0ZtL1680J9//mlot7Ozk729nbJlzSpJyps3rwIDA+Tre0/+/v6fuGIAAID4i2CBBK1d2zbq37+f4fE2py2SpD59+2njxk2xVRYAAEC8Q7BAgtKseQujx9NnzNT0GTNjqRoAAID/jjh9HwsAAAAA8QNHLOKIzE0OxXYJQIzz2Vo1tksAAAAxhCMWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADAbwQIAAACA2QgWAAAAAMxGsAAAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGA2ggUAAAAAsxEsAAAAAJiNYAEAAADAbAQLAAAAAGYjWAAAAAAwG8ECAAAAgNkIFgAAAADMRrAAAAAAYDaCBQAAAACzESwAAAAAmI1gAQAAAMBsBAsAAAAAZiNYAAAAADDbfyZYdGjfXqf+OKkb3l7atXOHChUqFNslAQAAAAnGfyJYNGhQX6NHj9SMGbNUs1YdXb16VWvXrFLatGljuzQAAAAgQfhPBItuXbtq7dp12rBxo7y8vDR4yFC9fPlK37RqGdulAQAAAAlCotguwFyJEydWgQJfa968+Ya2sLAwHTt+TEWLFo1wHmtra1lbWxseJ0uWzOjf2JAs6X8i4wHvlTx58tgu4aOwfyIhYP8E4q7Y3D9N+Xwc74PFZ599pkSJEsnvsZ9R+2O/x8qZI2eE8/Tu1VP9+/cL137urGuM1Ajgb9PcY7sCAJFh/wTirjiwfyZLlkwBAQHv7RPvg8XHmDtvvn5duMioLU2aNPrzzz9jqSJ8asmSJdO5s64qXKSYAgMDY7scAP/A/gnEXeyfCVOyZMn08OHDD/aL98Hi6dOnCgkJkV06O6P2dHbp5OfnF+E8QUFBCgoKMmr7UALDf1NgYCC/eyCOYv8E4i72z4Qlqr/reH9iYnBwsC5evKRy5coa2iwsLFSuXDm5ubnFYmUAAABAwhHvj1hI0sJFizRr5gxduHhR586dV9eunWVrY6P1GzbGdmkAAABAgvCfCBY7duxU2s8+08AB/WVnZ6crV67q2zZt9fjx49guDXFUUFCQpk+fEe6UOACxj/0TiLvYP/E+FhkyOoTFdhEAAAAA4rd4P8YCAAAAQOwjWAAAAAAwG8ECAAAAgNkIFvhPOPXHSXXp0jm2y/ige74+qlWzZmyXAfyntGjRXO5XL0f7ch0cHHTP10f58+eL8jz9+/XVgf17P/l6ETfE1N9idImOv8+PYep7dHTVGVvbm5ARLPBeM2fO0D1fH/Xq2cOovVbNmrrn6/PJ64nsRbt2nXpas3rNJ68HiCl2dnaaMH6cfj95XDdvXJfrmVNasXyp0T17PhUCMRK6mTNnaOmSxeHaS5cupXu+PkqZMqWkt1epLFe+4qcuL877FO/REb1O/bLgV7Vo2SpG1wtjBAt80MuXr9Sjx/dKlSpVbJcSqadPn+rlq1exXQYQLRwcHLR3z26VLVtG4ydMVNVq1dX627Y6cfJ3OU6cENvlRSpTxoyxXQIQq169eqUnT56YtYxEiT7uTgCJEyc2a70xKbbeo1+8eKE///T/5OtNyAgW+KDjx4/Jz89PvXv1fG+/EsWLy2nrFnlf95LrmVMaP26sbGxsDNPt7e21cuVyeV/30h+/n1DjRo3CHR7t1q2rDh08oOte1+R65pQcHSfK1tZW0ttvhmbNnKFUqVLpnq+P7vn6qH+/vpKMD7POnzdXC3752ai2RIkS6fKlC2rWrKmkt3dn79Wrp/74/YS8r3vpwIF9qlu3TqTbNmTIYO3auSNc+4ED+9S3z4+SpIIFC2r9ujW6fOmCPNyvaMvmTfr6q68iXea/v+mSpPz58+mer48cHByi/Ly2b99Ox48f1Q1vL104f1YLFy6IdJ2IHyY5TlSYwlSnbn3t3r1HN27clKenpxYuXKR69Rsa+mXKmFHLli6Rl6eHrnlc1YIFPytdunSG6RF9yzp27Ght3vT/m4du3rRR48eN1Yjhw3Tl8iWdP+dm2K+kt/uWJC1dulj3fH0MjyOyZcsm7dy5Xe3atTX5i4jEiRNr4oTxOnfWVTe8vXT61O/q9Y/XnJQpU2rKlEm6cP6sbnh76fChg6pWrarRMipWrCgX58Py8vTQmtWrZG9vbzS99Tet5OJ8WDe8vXTU5Yjat29nNL1QoULav2+Pbnh7ac/u3/TVv/bfiI6YRuXorbnrRfwR0d9IzRo1tG/vbt3w9tLvJ4+rX98+srKyMky/5+ujdu3aavmypbrudU0//tBblpaWmv7TNMN71LGjzurcuZPRct/t3z/80Ftn3Vx17KizJClDhvT6ef48Xbl8Sde9rmnP7t9UuHAho3mbNm2iU3+clIf7Ff3y83wlS5ZMktSsWVNdvnxR1tbWRv2XLlmsOXNmRbjNO7Y7afiwoUZtn332mW7fuqGSJUtKCn8q1Ideu/7tQ++vkb1O/ftUKAsLC/Xt86NcXU/r5o3rOrB/rypVqmSY/u40xNq1a2nTpg3yvu6pAwf2qWjRIv+vPVMmrVi+VFevvH1+jxw+qCpVKkdae0JDsMAHvXkTqkmTp6pjx47KkCF9hH2yZMmiNWtW6bfdu1WtenV9930PlShR3Ojb1TmzZyr955+rWfPm6tq1u779tnW4F5LQ0FCNHDVKlSpX1Y99+qpc2TIaMWK4JMnV1U0jR43Ws2fPVLBQERUsVES/LPg1XC1bnZxUvXo1QyCRpEqVKsrGxkZ79rx9gendu5eaN2uqwUOGqXKVqlq0aLHmzpmtUqVKRbh9W7c6qUiRwsqSJYuhLXfu3MqfL5+ctm2XJCVPnkwbN21Wo0ZNVK9+Q928eVOrVq0wvGB/jA89rwUKFND4cWP107TpKl+hkr79tq1O/XHqo9eH2Jc6dWpVrlxJy5ev0MuXL8NNf/bsmaS3b5DLli1R6tSp1aRpc7X6prWyfJElXKiOiubNm+nFixeqV7++Jkx0VN++fVShfHlJb09hkKQ+ffupYKEihscRadK0mfbvP6DOnTrq3FlXLVjws6pWrSJLyw+/1XTu1Ek1alRX9+96qHyFSurV6wfd9blr2NbVq1eqeLHi6t37R1WqXFWOkybpzZs3hvltbGz0/Xfd1PuHPmrSpJkyZcqoUSNHGKY3btxIAwYM0OQpU1WxUhVNmjxFAwcOUPPmzSRJtra2WrlimTw9vVSrdl1NnzHDaP6PFVvrRdxQokQJzZ49U4uXLFWlylU1ePBQtWjRXD/+0NuoX/9+fbVnz15VqVpd69dvkKWlpe7fv69u3b9XpcpVNGPmLA0dMlj16xvvf+XKlVWOHNnV6pvWate+o2xtbbVl82alT59eHTt2UrXqNfXzL78Y7YNZsmRRrZo11a59R7Vr31GlSpU0hPhdu36TlaWlatSobuifNm1aVa1aRevXb4hwG7du3aaGDRsYtTVsUF8PHz7UqVPh348+5rXrQ++vUX2d6tKls7p376bx4yaoWvUacnZ20fJlS5QtW1ajfkMGD9KCBb+qeo2aunHjhn6eP88QBh0dJ8jaOomaNG2uKlWra6LjJAUGvoi09oTmP3HnbcS8vXv36srVKxrQv7/6DxgYbnrvXj211clJixcvkSTdvHlLI0eO1pYtmzRk6DBldnBQhQoVVKt2XV28eFGSNGDgIJ08ccxoOe/ml6S7d+9qytRpmjJ5koYNG67g4GA9f/5cYWFh8vPzi7RWZ2cXvXjxQrVr19KWLVslSY0bNdL+/QcUGBgoa2tr/dC7l1q2+kZubmclSXfu3FGJ4sXVts23+uOPP8It09PTU1euXFHjxo00a9ZsSVKTJo3ldvasbt26JUk6ccL4m9yBgwbLw/2KSpcupYMHD733+Y3Mh57XTJky6sWLFzpw8KACAwPl6+ury1eufNS6EDdkzZpVlpaWun7d+739ypcrp7x586pU6TK6d+++JOmHH/vIxfmwChYsqAsXLkR5ne7uHpoxc5akt39jHTt0ULlyZXX02DE9ffpUkvTsr2fv3e8k6d69+5o7d57mzp2nQoUKqXmzppo1c4ZCQkLk5LRNGzZu0rVr1yKcN1OmjLpx86ZOnz4tSfL19TVMq1C+vAoXKqSKlSrrxo2bkt7us/9kbW2twUOG6fbt25KkZctXGI4mStKA/v01btx4w5cLPj4+yp07t9q2+VabNm1W48aNZGlpqf4DBur169fy9PRUhgwZNGXypKg+jRGKrfUi+lWrVlVenh5GbZaWVpH0fqt/vz6aN/9nbdq0WdLbv9up037SiOHDDfucJDlt264NGzcazfvT9BmG//v4+KhY0aKqX7+edu7cZWh/8eKFBgwYpODgYEnSt9+2Vtq0n6lO3Xry9/eXJMN71P9rtlSfvv0UGBgoSdqyZavKlSurKVPensrltG27WrZooV27fpP09uiGr+89nTz5e4TbuGPnTo0dO1olSpQw7L+NGzfStr+/dPu3j3nt+tD7a1Rfp77r3l3zf/5F23e8PQNhouMklSlTRl27dNGw4f8P9AsW/KpDhw5Lkn76aYZcnA8rW9asuu7trUwZM2n37t3y8Hj7t/Dv16KEjmCBKJs4cZI2bVwf4VGCfPny6csv86pJ48aGNgsLC1lZWSlz5szKkT27goODdenSJcP0W7duhTv3sXz5curVq6dy5sipFCmSy8oqkWxsksomadIon5/55s0b7dy5S00aN9aWLVtlY2OjmjVr6Pseb7+RyZo1q2xtbbV+3Vqj+RInTqzLlyP/UL51q5NatWppCBaNGjbQwoWLDNPTpUunwYMGqnSZ0kqXNq2srKxkY2OjTJkyRanuiHzoeT169Jju3vXVH7+f0BFnZx054qy9e/Yy3iQes7CIWr9cuXLq3r17hjdmSfLy8pK/v79y5cppYrBwN3r86NGj956WEBXnz5/X+fPnNWbsOA0dOkTdunVV+fLlVL1GrQj7b9y4SevWr9WxYy5yPuKsgwcPyeXoUUlvTxG8f/++IVRE5MWLF4ZQIUkPH/5/G2xsbJQtW1ZNnz5N06ZNMfSxsrLS8+fPJUm5cuXSVXd3vX792jDdzc3t45+AWFwvYsbJkyc1ZOhwo7bChQtp/ry5kc6TL18+FStW3OgIhaWlVbj3tYj21w7t26tVqxbKlCmTkiZNqsSJE+vKlatGfTw8PAyhQpLy58+vy5evGEJFRHx8fAyhQpIePnqkdGnTGh6vXbNWu3fvUvr06fXgwQO1aN5cGzdtinR5T58+lcvRo2rSpJFOnz6tzJkzq1ixYho0eGiE/T/mtSs63l+TJ0+uDBnS68wZV6P2M66uypfvS6O2q+7/D5CPHj2SJKVNl07Xvb21dOlSTZrkqIoVK+jYseP6bfduubsbB86EjGCBKDt16pScXVw0bOgQbdxo/CKTLJmtVq9eoyVLl4Wbz9fXVzmyZ//g8h0cHLRi+TKtXLVaU6ZMlb+/v0oUL6EZM35SYmtrkz4sb3Vy0pbNm5Q2bVpVqFBer1690pEjzoZaJaltuw568OCB0XxBQa//vSiDbdu3a/jwYfr6q6+UNGlSZcyYUdt37DRMnz1rptKkSaNRo0br7l1fBQUFaeeObZEOqAsNDZP0Nii8kyiRcd8PPa/BwcGqWau2ypQprYoVKmjggAHq37+f6tSpZzhlBvHLzZu3FBoaqpw5c5i9rLDQUKO/L0lKnCj832NwSLDR47CwMFlE4fSl98mRI7uaNm2qpk0aK0WKFFqzdq3WrYv4VApJunT5skqVKqMqVSqrfLlyWrDgZx07flzdun2nV1HY9//54ervjTCc/vHudIkBAwfp3LnzRt3+eTrVh4RG8HwmShz522h0rRdxw4sXL8N9+x/Z6cHv2Nom0/Tp07V7T/hLnr76R5h8+cL4tMeGDRpo5MgRGjd+vNxc3RQQGKjvv++uIoULh6vJaJlR2FdCQkKMHof9Y1+RpMtXrujq1atq1qypXFyOKk+e3GrXvv17l+m0dZvGjx+rESNGqXHjRrp61d3wjX50MPX91Vwh/3hNDAt7+15tafl231+7br2cXVxUtWpVVaxQQb169dS4ceO1dNnyGKklviFYwCSOjpN1YP9eeXsbn6Zx6dJl5c6dK9yL7jve3t5KnDixvvrqK8NRi6xZsypNmtSGPgUKfC1LS0uNHTvOsCPXr1/faDnBQcFGg94i4+rqpnv37qlhg/qqXLmydu76zfBi6unppVevXilTpowRnvYUmfv3H+j3P/5Q4yaNlTRpUh09eszo6h/FixfT0GHDdfjwEUlSxowZlPYf3wL927t57e3t9ddff0lSuOvWf+h5ld5+QDl27LiOHTuu6TNmysP9isqWLWM49QLxi7+/v5ydXdShQ3stWbI03DiLlClT6tmzZ/Lyuq6MGTMqY8YMhm/+cuXKpdSpU8vT00vS27+xPHnyGM2fP38+BQcbf7D4kKCgIFlafThofJYmjRo2bKCmTZuqQIGvdfToMTk6TtbeffuMvpGPTEBAgHbs2KkdO3Zq12+7tW7taqVOnVpX3T2UIUMGZc+e7b1HLSLz+PFj3b//QFmyZJGT07YI+3h5ealZ0yZKkiSJodYiRYoY9Xny5ImSJ08uGxsbw+8lf/78Mb5exF+XL19Sjhw53vsaHpHixYvJ1c1VK1asNLRl/ccYv8i4u7ur9TetlDp16vcetfiQtevWq2uXzsqQPr2OHTtudHQhInv37dPUqZNVuXIlNW7UUJs3b4m0b1Reu/4tKu+vH3qdCggI0P37D1S8eDGj9/7ixYrp/Pnz792+f7t3775WrVqtVatWa+iQwWrdujXB4m8M3oZJPDw8tNXJSZ06GV+dYv7PP6tYsWKaOGG88ufPp2zZsqpmjRqaOGG8JOm6t7eOHj2qaVMnq1ChQvoqf35NnTpZL1++NISIW7duydraWp06ddQXX3yhpk2bqG3bNkbr8bnro+TJk6tcubL6LE0a2SRNGmmtTtu2q23bNqpQobyctjoZ2gMDA7Xg14UaO2a0mjdvpixZsujrr75Sp44dDAMqI13mVic1bNBA9evV1VYnJ6NpN2/eVLOmTZUzZ04VLlxI8+bOjXDw7Tu3bt2Sr6+v+vfvq2zZsqpq1Sr6rns3k57XatWqqnOnjsqfP58yZcqk5s2bydLSUt7eN967HYjbhg0fIStLS+3+bafq1KmtbNmyKmfOnOrcqaN27tgmSTp67Jg8PDw0b+5cff3VVypUqJDmzJ6lkyd/N4xjOn7ipAoWLKBmzZoqW7asGtC/X7igERU+d++qXLlysrOze+/Vnnbt2ql27dpq9+7dKla8pNq0baftO3ZEKVR069ZVjRo2VM4cOZQ9ezbVr1dXDx8+1F9//aU//vhDf5w6pUULF6pC+fLKnDmzKleuZHQ1lw+ZPn26evfqqc6dOip79mzKmzevWrZooW7dukqSnJy2KSwsTNOmTVGuXLlUpUplffddd6NlnDt3Xi9fvtTQIYOVJUsWNW7USC2aN4/x9SL+mjFztpo1a6p+ffsod+7cypkzpxo2aKBBg8KPVfynmzdvqmCBAqpYsaKyZ8+mgQMHqGDBgh9c37Zt2+Xn56elSxareLFi+uKLL1SnTm2jqxpFhZPTNmXIkEGtW3+j9RsiP9L4zsuXL7V37z4NGjhAuXLlinR8hRS1165/i8r7a1Rep35ZsEA9e3yvBg3qK0eO7Bo2dIjy58+nxUuWRNg/ImPHjlbFihWVOXNmff3VVypTtoyuX78e5fn/6wgWMNm0adMNhwTfcXf3UJOmzZU9e3Y5bd2i/fv2asDA/nrw8KGhzw8/9pWf32Nt3bJJS5Ys0to16xQQEGD40HH1qrtGjxmrnj166Mjhg2rSuLEmTZpstB5XVzetWLlKC375WZcvX1SPHt9HWufWrU7KkyePHjx4oNNnzhhNmzp1mmbOmq3evXrKxfmw1qxZpapVq+rOnfdfNnLXb7uVJk1q2djYaO/efUbT+vcfqFSpUmnf3j2aM2e2lixdqsePH0e6rJCQEPXo0Us5c+TUwQMH1LNHD02ZOs2k5/XZX89Uu3ZtbdywQUddjqht2zbq0bOXPD0937sdiNvu3LmjmrXq6OTJ3zV61EgdPnRQ69evVbly5TRk6DBDv44dO+uvv/7S1q2btWH9Wt2+c1vfff//m1m6uLho1qzZGjF8mHb/tkvJkid/7zeJkRk3brwqVCgv1zOntH/fnkj7tWvXXpWrVNPPvywwnJccVQEBAerR4zvt2fObdv+2S5kzO6ht2/aGLx66du2uCxcu6Oef58n5yGGNGD5cVlE4ivLO2nXrNWDAILVs2UKHDh7Qls2b1KJFc8M+/+LFC7Xv0FFf5s2r/fv2aMjgQZo40dFoGf7+/urd+0dVqVpFhw8dUKNGDTR9xoyIVhet60X85eLionbtO6pixQras3uXdu3crq5du+ju3bvvnW/V6jXas2evFvwyX7t27lCaNGmMjl5EJjg4WK2++VaPnzzWqlUrdPjQAfXq2VNv3oSaVPfz58/12+7dCnzxItx7XWS2Ojkpf/78OnXqtHzv3Xtv3w+9dv1bVN5fo/I6tWTJUi1cuEijRo3UoYMHVLlyJXXo2Fk3b96K0jZKkpWllRwnTjB8drhx44aGDhv24RkTCIsMGR3CYrsIJEwZMqSXm+sZtWjZSsePn4jtcgAAwN82bFgnz2ueGjlqdGyXgniEMRb4ZMqWLaNktsnk7uGhzz+314jhw3Tnzh39wX0XAACIE1KlSqXSpUurTOnSGjZs+IdnAP6BYIFPJlGixBoyZLCyZPlCAQEBcnV1U89eP4S7QgUAAIgd+/ftUapUqTRx4iTG68FknAoFAAAAwGwM3gYAAABgNoIFAAAAALMRLAAAAACYjWABAAAAwGwECwAAAABmI1gAAAAAMBvBAgAAAIDZCBYAAAAAzEawAAAAAGC2/wGvAdsbDSs4vgAAAABJRU5ErkJggg==" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 51 }, { "cell_type": "markdown", @@ -1328,14 +2147,28 @@ { "cell_type": "code", "id": "878bc69be04243b3", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:44.998237196Z", + "start_time": "2026-05-24T00:17:44.933528042Z" + } + }, "source": [ "df = merging.merge_trains(df, comp_df)\n", "print(f\"After merge: {len(df)} rows, {len(df.columns)} columns\")\n", "print(f\"Columns: {df.columns.tolist()}\")" ], - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "After merge: 11260 rows, 41 columns\n", + "Columns: ['Date', 'Service', 'Departure station', 'Arrival station', 'Average journey time', 'Number of scheduled trains', 'Number of cancelled trains', 'Number of trains delayed at departure', 'Average delay of late trains at departure', 'Average delay of all trains at departure', 'Number of trains delayed at arrival', 'Average delay of late trains at arrival', 'Average delay of all trains at arrival', 'Number of trains delayed > 15min', 'Average delay of trains > 15min (if competing with flights)', 'Number of trains delayed > 30min', 'Number of trains delayed > 60min', 'Pct delay due to external causes', 'Pct delay due to infrastructure', 'Pct delay due to traffic management', 'Pct delay due to rolling stock', 'Pct delay due to station management and equipment reuse', 'Pct delay due to passenger handling (crowding, disabled persons, connections)', 'year', 'month', 'season', 'delay_category', 'cancellation_rate', 'punctuality_rate', 'departure_station_id', 'departure_station_geo', 'departure_station_trigrame', 'departure_station_segment', 'departure_station_comunal_code', 'departure_station_UIC_code', 'arrival_station_id', 'arrival_station_geo', 'arrival_station_trigrame', 'arrival_station_segment', 'arrival_station_comunal_code', 'arrival_station_UIC_code']\n" + ] + } + ], + "execution_count": 52 }, { "metadata": {}, @@ -1359,7 +2192,12 @@ "id": "6c5908c46a5d4206" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:45.207038174Z", + "start_time": "2026-05-24T00:17:45.009051728Z" + } + }, "cell_type": "code", "source": [ "df = df.reset_index(drop=True)\n", @@ -1368,8 +2206,17 @@ "print(f\"Columns: {df.columns.tolist()}\")" ], "id": "7fdab8e3e1287da8", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Exported: 11260 rows, 41 columns → cleaned_dataset.csv\n", + "Columns: ['Date', 'Service', 'Departure station', 'Arrival station', 'Average journey time', 'Number of scheduled trains', 'Number of cancelled trains', 'Number of trains delayed at departure', 'Average delay of late trains at departure', 'Average delay of all trains at departure', 'Number of trains delayed at arrival', 'Average delay of late trains at arrival', 'Average delay of all trains at arrival', 'Number of trains delayed > 15min', 'Average delay of trains > 15min (if competing with flights)', 'Number of trains delayed > 30min', 'Number of trains delayed > 60min', 'Pct delay due to external causes', 'Pct delay due to infrastructure', 'Pct delay due to traffic management', 'Pct delay due to rolling stock', 'Pct delay due to station management and equipment reuse', 'Pct delay due to passenger handling (crowding, disabled persons, connections)', 'year', 'month', 'season', 'delay_category', 'cancellation_rate', 'punctuality_rate', 'departure_station_id', 'departure_station_geo', 'departure_station_trigrame', 'departure_station_segment', 'departure_station_comunal_code', 'departure_station_UIC_code', 'arrival_station_id', 'arrival_station_geo', 'arrival_station_trigrame', 'arrival_station_segment', 'arrival_station_comunal_code', 'arrival_station_UIC_code']\n" + ] + } + ], + "execution_count": 53 }, { "metadata": {}, @@ -1406,12 +2253,49 @@ "id": "d46f60f463b0e16a" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:45.275832777Z", + "start_time": "2026-05-24T00:17:45.210971472Z" + } + }, "cell_type": "code", "source": "audit.check_completeness(df, report)", "id": "7865d5fdebe5242e", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overall completeness : 97.05% (448,048 / 461,660 cells non-null)\n", + "\n", + "Least complete columns:\n", + " 93.6% ░ arrival_station_geo\n", + " 93.6% ░ arrival_station_trigrame\n", + " 93.6% ░ arrival_station_UIC_code\n", + " 93.6% ░ arrival_station_comunal_code\n", + " 93.6% ░ arrival_station_segment\n", + "\n", + "Most complete columns:\n", + " 100.0% Date\n", + " 100.0% Service\n", + " 100.0% Departure station\n", + " 100.0% Arrival station\n", + " 100.0% season\n" + ] + }, + { + "data": { + "text/plain": [ + "0.9705" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 54 }, { "metadata": {}, @@ -1432,12 +2316,253 @@ "id": "fff0fbd30ee4b070" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:45.358298110Z", + "start_time": "2026-05-24T00:17:45.280173559Z" + } + }, "cell_type": "code", "source": "audit.check_distributions(df, report)", "id": "8a3f88e81faf1d14", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " n mean std min p25 median p75 max\n", + "column \n", + "Number of scheduled trains 11235 270.733 182.945 0.000 150.000 229.000 358.000 1100.000\n", + "Average delay of all trains at arrival 11243 6.073 5.464 -173.077 3.358 5.326 8.069 92.000\n", + "Average delay of all trains at departure 11243 3.150 5.190 -229.269 1.208 2.325 3.952 115.047\n", + "Average delay of late trains at arrival 11235 35.532 16.005 -40.371 25.890 33.750 42.887 299.600\n", + "Average delay of late trains at departure 11245 12.318 11.957 -5.370 6.174 10.343 15.769 316.188\n", + "cancellation_rate 10924 0.039 0.086 0.000 0.000 0.007 0.031 0.927\n", + "punctuality_rate 10915 0.861 0.077 0.000 0.826 0.874 0.912 1.000\n", + "Average journey time 10911 170.805 88.043 0.000 100.000 163.000 223.000 703.130\n", + "Pct delay due to external causes 10923 21.559 16.003 0.000 10.526 19.048 30.000 100.000\n", + "Pct delay due to infrastructure 10943 21.876 14.878 0.000 11.940 20.000 29.630 100.000\n", + "Pct delay due to traffic management 10920 20.410 14.717 0.000 10.345 18.750 28.571 100.000\n", + "Pct delay due to rolling stock 10936 18.845 13.485 0.000 10.000 16.949 25.343 100.000\n" + ] + }, + { + "data": { + "text/plain": [ + " n mean std min \\\n", + "column \n", + "Number of scheduled trains 11235 270.733 182.945 0.000 \n", + "Average delay of all trains at arrival 11243 6.073 5.464 -173.077 \n", + "Average delay of all trains at departure 11243 3.150 5.190 -229.269 \n", + "Average delay of late trains at arrival 11235 35.532 16.005 -40.371 \n", + "Average delay of late trains at departure 11245 12.318 11.957 -5.370 \n", + "cancellation_rate 10924 0.039 0.086 0.000 \n", + "punctuality_rate 10915 0.861 0.077 0.000 \n", + "Average journey time 10911 170.805 88.043 0.000 \n", + "Pct delay due to external causes 10923 21.559 16.003 0.000 \n", + "Pct delay due to infrastructure 10943 21.876 14.878 0.000 \n", + "Pct delay due to traffic management 10920 20.410 14.717 0.000 \n", + "Pct delay due to rolling stock 10936 18.845 13.485 0.000 \n", + "\n", + " p25 median p75 max \n", + "column \n", + "Number of scheduled trains 150.000 229.000 358.000 1100.000 \n", + "Average delay of all trains at arrival 3.358 5.326 8.069 92.000 \n", + "Average delay of all trains at departure 1.208 2.325 3.952 115.047 \n", + "Average delay of late trains at arrival 25.890 33.750 42.887 299.600 \n", + "Average delay of late trains at departure 6.174 10.343 15.769 316.188 \n", + "cancellation_rate 0.000 0.007 0.031 0.927 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nmeanstdminp25medianp75max
column
Number of scheduled trains11235270.733182.9450.000150.000229.000358.0001100.000
Average delay of all trains at arrival112436.0735.464-173.0773.3585.3268.06992.000
Average delay of all trains at departure112433.1505.190-229.2691.2082.3253.952115.047
Average delay of late trains at arrival1123535.53216.005-40.37125.89033.75042.887299.600
Average delay of late trains at departure1124512.31811.957-5.3706.17410.34315.769316.188
cancellation_rate109240.0390.0860.0000.0000.0070.0310.927
punctuality_rate109150.8610.0770.0000.8260.8740.9121.000
Average journey time10911170.80588.0430.000100.000163.000223.000703.130
Pct delay due to external causes1092321.55916.0030.00010.52619.04830.000100.000
Pct delay due to infrastructure1094321.87614.8780.00011.94020.00029.630100.000
Pct delay due to traffic management1092020.41014.7170.00010.34518.75028.571100.000
Pct delay due to rolling stock1093618.84513.4850.00010.00016.94925.343100.000
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 57 }, { "metadata": {}, @@ -1492,20 +2670,60 @@ "id": "bd04dc163ac0b60" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.110663120Z", + "start_time": "2026-05-24T00:17:46.052963933Z" + } + }, "cell_type": "code", "source": "checks = audit.check_validity(df, report)", "id": "e72dcf911fd486f3", - "outputs": [], - "execution_count": null - }, - { - "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Validity checks:\n", + " ✓ cancellation_rate_in_0_1\n", + " ✓ punctuality_rate_in_0_1\n", + " ✓ no_negative_scheduled\n", + " ✗ hierarchy_15min_30min\n", + " ✗ hierarchy_30min_60min\n", + " ✓ pct_delay_sum_le_105\n", + " ✓ date_range_sane\n", + " ✓ service_only_2_values\n", + " ✓ no_fully_null_rows\n", + "\n", + "7/9 checks passed\n" + ] + } + ], + "execution_count": 58 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.303731792Z", + "start_time": "2026-05-24T00:17:46.230382527Z" + } + }, "cell_type": "code", "source": "cplots.plot_validity_checks(checks)", "id": "1a6b142b3794a214", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 59 }, { "metadata": {}, @@ -1527,12 +2745,41 @@ "id": "8dac6d0b9e60f817" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.363046878Z", + "start_time": "2026-05-24T00:17:46.305472177Z" + } + }, "cell_type": "code", "source": "audit.check_effectiveness(df, report)", "id": "c6c165be069c61b", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total corrections : 424\n", + "Total recovered : 1,283\n", + "Correction rate : 0.0918% of all cells\n", + "Recovery vs nulls : 3.3% of initial nulls recovered algebraically\n" + ] + }, + { + "data": { + "text/plain": [ + "{'total_corrections': 424,\n", + " 'total_recovered': 1283,\n", + " 'correction_rate': 0.000918,\n", + " 'recovery_vs_null': 0.033}" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 60 }, { "metadata": {}, @@ -1550,15 +2797,44 @@ "id": "637f96cbbd1f71fd" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.424583692Z", + "start_time": "2026-05-24T00:17:46.366540950Z" + } + }, "cell_type": "code", "source": [ "report.record_final_state(df, original_rows=original_file.shape[0])\n", "report.export(\"data/processed/audit/cleaning_report.csv\")" ], "id": "87a13f05e2c98bea", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Report saved: 238 entries → data/processed/audit/cleaning_report.csv\n", + "category\n", + "numeric_distribution 96\n", + "completeness_per_column 41\n", + "initial_null_per_column 26\n", + "outlier_analysis 23\n", + "validity_checks 11\n", + "initial_state 7\n", + "cleaning 6\n", + "station_clustering 5\n", + "data_recovery 4\n", + "pipeline_summary 4\n", + "pipeline_effectiveness 4\n", + "final_state 4\n", + "recovery_summary 3\n", + "data_correction 3\n", + "quality_score 1\n" + ] + } + ], + "execution_count": 61 }, { "metadata": {}, @@ -1610,12 +2886,28 @@ "id": "e03d8d4c0c4e82d2" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.734574993Z", + "start_time": "2026-05-24T00:17:46.428299479Z" + } + }, "cell_type": "code", "source": "eplots.plot_delay_distribution(df)", "id": "51a4c9f44394124c", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 62 }, { "metadata": {}, @@ -1624,12 +2916,28 @@ "id": "1eccb1ebc6823283" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.821707837Z", + "start_time": "2026-05-24T00:17:46.735967619Z" + } + }, "cell_type": "code", "source": "eplots.plot_seasonal_delay(df)", "id": "8a9cffb8335a3e8b", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 63 }, { "metadata": {}, @@ -1638,12 +2946,28 @@ "id": "ca81f86eb006725e" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:46.912854559Z", + "start_time": "2026-05-24T00:17:46.824778377Z" + } + }, "cell_type": "code", "source": "eplots.plot_top_stations_by_delay(df)", "id": "6d1d2c103af76daa", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 64 }, { "metadata": {}, @@ -1652,12 +2976,28 @@ "id": "986e711242633b10" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.016844121Z", + "start_time": "2026-05-24T00:17:46.914306508Z" + } + }, "cell_type": "code", "source": "eplots.plot_monthly_trend(df)", "id": "822828ead3735bbf", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 65 }, { "metadata": {}, @@ -1666,12 +3006,28 @@ "id": "69fc84adeb32769" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.120099395Z", + "start_time": "2026-05-24T00:17:47.017997462Z" + } + }, "cell_type": "code", "source": "eplots.plot_delay_categories(df)", "id": "5100e62591297ee7", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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dutPj323GjHmD3Xt2n7dNSkoKHh4eV5ztv0WkC7nQqkTLl6/g9OnT3N+1Cxs2bOD++7sQHR3Nqv/Ml1YQCuPKSOlp1zeTLSfn/DtMJscff/75FzZs2Midd3akXdu2PPPM0zz77LP0e+KJPL89FREREdEz+PnpGfzS7NgxYcqz3WI5//ubk3P+4ZwmU95z/FdcXBy33d6R9u3b0aFDB27u0J4HH+zBd3Pn0r//wCvKLSKFl4prBeD+++8HYMXy3B/iR4/m9rTJys5m1arVV3Su2rVrUbVqVV58qT/z5s13bG/bps1528+dN4+nn36K2267lZs7dCA2Npbly8//MPG3uLg4EhMTqVWz5kXb3XP3Xaxes4aXBzn/5s8/wN9pSOGFfsgeOTcMMCk56aLvQ2xsLGlp6VSqVCnPvsr/2Xb8eBQWi4XKlSsTERHh2B4cHExgYCBRx6O4HDabjR9+/Inu3boxbvybdLzjDmZ9M/uy50E4X9Yq535LGBl5/KLHHj+XsWrVKk69sqxWK+XLl2fVauf3KiwsDC8vL6fea1WqVMm91vFIxzlr166FyWRy+npUq1Ytd3/UxTPB5T8s/X2+Nm1a4+Pj4/Qb2mrVqp7Lc+nrnc/p06eZPn0G06fPICgoiN9+W8RLL76g4pqIiIjkoWfw4vMM/vc91apZ87w97eCf592qVauyZo3zKvdVq1ZxPIMDnE04S8WKeYd0/ne0x5W42LN0VlYWf/zxJ3/88Scmk4k33xxHr549ee+9Dy54PyLiWjTn2lVq1aolA/q/xNGjR/n+3ETycXFxrFm7lkcffYTQ0NA8x5QsWfKC5/v7tyL//S1I337nX6p579597N6zh4cfeoi77rqTn35aQM6FegmdY7fbWfzbb9x22600aNDgIlly8uS45567KVO6tNO2tNRUILd7+b/t2LGDw4eP8PTTTzlWyfy3v98Hm83G6tWr6NjxDqf5tipVqkSHDu2djlm6NHdy1See6Ou0/aknc1co+nPJkgvez3/NnzefEiUCeeutN/H19eX7yxwSCrm/Kb3zzo6O176+vjzwwAPs2rXLaUjo+axctYqMjAz6Pu78NX3ooQcJCAhgyZ/OE8harVZ69nzU+fWjjxAbG8uOHTsBWLJ0KWFhYXS+915HO4vFwuN9HiM5OZl169Zf8p4u9HU8n6VLluHm5uZYcvxvTz7xBDabjaVXWAwzm834+fk5bYuLiyP6VDTu7lf+W1UREREp2vQMXryewVesWElSUhLPP//cBXvcbd++g5iYGHr2fBR3d3fH9g4d2lOjRg2W/Cvj0aNHqVq1qtP3RJ06tWnatMll38d/pV7g6/HfIcZ2u529e/cBOOUUEdemnmtX4OabO1CtWlXc3NwICQ6mVatWtG3bhuPHj/NYn75OE2cOHTqcH3/4nqVL/mDWrG84euwYISEhNG58I6VLl+a22+447zUiIiI4fPgII14fTqlSpUhOSuKuu+9ympvqv+bNm8/IEa8DMP8Sqzz+bcKEt2nXti3fz5/LzFnfEB4eTlhoKPfccw/3delKYmIif/65hIEDBzB50rts2ryZ2rVq0aVrF44cOep0riNHj5KQkECvno+SkpxMamoaW7dtIzIykkGDBzPz669ZvmwJc+Z8x8lTpyhdqhQtW7YkOTmJ3o/lPrC88+5k2rZty08/fs+MGV9jtljo89hj7N+/32kC2T179jLnu7n0fPRRAvwDWLd+PQ0bNqRH924sWrTYaZWiS9m1ezd79+7j3k6dOHDgADt37brsYw8ePMi770yk4Q03EBMby4M9ehASEsyAgS9f8tgzZ87w0Ucf8/LLA/lm1kx+//0PqlatQu/evdi27a88QwpOnjzFc88+Q/ly5Th06BD33nsv9erVY9DgIWRnZwO5q1n1fPQRJk9+lwYN6hMZGcndd99Ns2bNeH3EyIvO//G3i30d/+v3P/5g9Zo1vPrKEMqXL8eePXtp17YtHTvewZTPpzotXnA5fH192bJ5I7/8upA9e/aQkpJC2zZtaNSoIaNGj7mic4mIiEjRomdwPYMnJyczatRo3n33HRb++gs//PgjZ8+epU6dOnh5edK//0Cys7MZN/5N3ps8ifnz5/Ljjz8REhJCv76Pc+zYMaZ8PtVxvtnfzuHJJ59g9jczmT17DsHBQfTs+Sj79x/Az8/3su/l33bszP2l99ixo1m+fAW2HBs/LVjAOxMnEhgYyJo1azh58iTlypWjT5/H2LVrF+Hh4fm6logUPiquXYEhgwcBkJGRQUJCAvv27WfkyFF8O+e780zsHs6dd93NwIH96d69GyVKlCA2Lo7du3YxefJ7F7xGdnY2vR/rwxtjR/PC88+RkZHBokWL+fKrr1jy5x/nPeb7739g2NDXOHr0KH/99ddl3cupU6e45557GTxkEF273Ievry+nTkWzbNkyx/DDDz78CG9vb+677z7uvbcTO3fupFev3gx97bU8mfv3H8hrr73ChAlvYrVa6T9gIJGRkaxbt557O3em/0sv0afPY3h7exMTE8O2bX/x9cx/VsDcuXMnj/bsxYjXhzN48CBOnDjJO++8Q/Xq1alatZrT9QYNGsyxo0fp3r0bHTveQUxMDB98+BGTJk2+rHv/t3nz5vH668MveyGDvx06fJjhw0cw/PVhVK1ShcjISJ5+5tk8qyJdyLuTJhMXd4Y+fXozatQIEhISmDnrGyZMeMtRMPvb2bNnean/AMa9MYaHH36Y2NgYhg4dzjffzHa0SU9P5/4HujNs6Gt06/YAvr6+HDx4iP4DBvLdd3MvK9PFvo7/Zbfbeeyxxxk8eBD3dupEj+7diTx+nDFj3uDTzy6+BP35pKWlMX36DNq1a8tdd3bEbDZz5MgRXn1tKDNmfH3F5xMREZGiQ8/gegaH3IJYbFwczz/3LAP6v0RWVhYREQf5/F9Fs+++m0taWhrPP/csw4a+RmpaGosWLWbc+DdJTEx0tIuIiODFl/ozeNAgRo58nfDwcF58sT/3dbmPli1uuuL7AVi4cBHTpn1B5873cn/XrpjNZn5asID533/Po488Qu/evfD39ycmJoYFP//Mu+9OvqJpWUSkcDOVLlNOf6NdXMkSJdi2bQuT33uf99573+g4BeqLaVOpUbMGrVtfm6Wr+/Z9nNGjRtK8eQuiTuRd0fJ8Nqxfy779++ndu881yfRv8+Z+R8mSJbn5lluv+bVERERE5PLpGTz/8vMMLiJSmGnOtSKge/fuWCwWp8lXXZGnp6fT68qVK3HzzR1YdwXdzK/UQw8+yLr16/VDXURERESuiJ7B80/P4CJS1GhYqAtr1aolNapX58UXn2fx4t/yvUJjYbFu7Wq++24uR48do1y5cvTq1ZOsrCz+98knBXodLy8v7rj9dlq2bEGdOrV57LHzT1QrIiIiIvJfegbPHz2Di0hRpuKaCxvQvz9NmjRm0+bNDH99hNFxrtry5Su4777OhISEkJmZyZYtW5kw4S0OHz5SoNcJCgrif//7iISEBN7/4EN+/+P882iIiIiIiPyXnsHzR8/gIlKUac41ERERERERERGRfNKcayIiIiIiIiIiIvmk4pqIiIiIiIiIiEg+ac41ERERKZbCwsJISUkxOoaIiIiIFFI+Pj5ER0dfsp2KayIiIlLshIWFsW3rZqNjiIiIiEgh1+jGJpcssKm4JiIiIsXO3z3WGt3YRL3XRERERCQPHx8ftm3dfFnPiiquiYiISLGVkpJCcnKy0TFERERExIVpQQMREREREREREZF8UnFNREREREREREQkn1RcExERERERERERyScV10RERERERERERPJJxTUREREREREREZF8UnFNREREREREREQkn1RcExERERERERERyScV10RERERERERERPJJxTUREREREREREZF8UnFNREREREREREQkn1RcExERERERERERyScV1+Samjx5El9Mm+p4PW/ud4wePfKKznEiKpKOd9xR0NFERERERERERK6am9EBpHjp98STZGVlFeg5W7S4ifnz5lKrdl0SExML9NwiIiIiIiIiIhej4ppcVwkJCUZHEBEREREREREpMCquSYG4++67GDhgAJUqVSItPY3du3bxWJ++edrNm/sdu/fsZuTI0QCEhobyzjtv06plK2JiTvPWWxN59dUhfD51GlOnTnMcV7JkCaZN/Zz27dtx8tQpxowey+9//EG5cuWYP28uAPv27gZgzndzGTBg4HW4axERkfwr33WJ0REKhcjvbzE6goiIiMhV0ZxrctVCQ0P538cf8e2cObRr34EHHujOwkWLMZlMlzz2g/cnUyosjAe6deOJJ57ikUceJjg4OE+7gQMH8PPPv3DLrbezdMlSPvroAwIDAzlx4gR9+z0BQOs2bbmh4Y2MGHFlc7qJiIiIiIiIiOSXeq7JVQsLDcVqtbJw4SKioqIA2Ldv3yWPq1a1Km3btqXjnXezY8cOAAYNHsLaNavytJ3z3Vx+/OknAN6c8Bb9+vWlYcOGLF++3DHUNDY2TnOuiYiIiIiIiMh1pZ5rctV279nDqlWrWLrkDz777BMefvghAgICLnlc1apVycrKYufOnY5tR44cIT4+IU/bvXv3Ov6clpZGYmIiwcFBBZJfRERERERERCS/VFyTq2az2ejx4MM8+mgvwg+E83ifPqxauZzy5csX2DWys7KdXtvtdsxmffuKiIiIiIiIiLFUnZACs2nzZt55dxK339GRzKws7ryz40XbHzx4EKvVSr169RzbKlWqRIkSgVd03aysLAAsFn07i4iIiIiIiMj1pWqEXLVGjRrywgvP06BBA8qWKcNdd91JUMmShIeHX/S4iIMHWblyJRPfnkDDhg2pV7cub789gbS0NOx2+2Vf//jxKGw2G7feeislS5bE29v7am9JREREREREROSyqLgmVy0pKZmbmjdn5tfTWbVqBa8MGcyYMWNZtmz5JY998aUBxMTE8v38uUyb9jnfzJpNcnIyGRkZl339U6dO8c67kxj62qvs2L6NcePeuIq7ERERERERERG5fKbSZcpdfhchkWusdOlSbNm8ie49HmT16jVGxxERkSLK19eXA/v3UqNmbZKTkw3JUL7rEkOuW9hEfn+L0RFERERE8riS50W365RJ5LxatWqJj7cPe/ftIywslOHDhnLs2DHWr99gdDQRERERERERkUtScU0M5eZm5dVXX6FixQokJyezefMWnnv+RbKzsy99sIiIiIiIiIiIwVRcE0OtWLGCm29ZYXQMEREREREREZF80YIGIiIiIiIiIiIi+aTimoiIiIiIiIiISD6puCYiIiIiIiIiIpJPKq6JiIiIiIiIiIjkk4prIiIiIiIiIiIi+aTimoiIiIiIiIiISD65GR1A5EqZrL64eYdi8QrFbPXFZPE49+Ge+2E+92ez5bzH2+1gz07FlnGWnMyE3M8ZCdgyErBlnsWek3Gd70hEREREREREXJWKa1K4mMxYvEJw8wrF4h2GxTsUN+8wLF6h5wpqIZitPtc0gi07DVvGWWyZCeRkJDqKbjnp8WQlHyMr4SA5aaevaQYRERERERERcQ0qrolh3Pwq4FGyNu4l62D1r5RbTPMsicl0/h5n14vZzQuzmxf4lLpgG1tmEpmJh8k6e5Css4fOfT6M3ZZ5HZOKiIiIiIiIiNFUXJPrwmT1PVdIy/3wKFEbs7uf0bHyzezuh2dwAzyDGzi22W05ZCcfJ+vsITLPHiQrMbfolpMWa2BSEREREREREbmWVFyTa8CMNaAS7iXr4FGyDu4la+PmWw6TqWivn2EyW7D6V8TqXxHv8h0c23PS40iP3kLaqQ2kn96EPSvFwJQiIiIiIiIiUpBUXJMCYfYsiXeZNniVboV7ydqYrd5GRyo0LJ5B+FS8HZ+Kt2O35ZB5Zg9p0RtJP7WBrLMHjY4nIiIiIiIiIldBxTXJN4tXKF5l2+Bdpg3uQXWLfM+0gmAyW/AIro9HcH2o25fstFjSozeRfmoD6ae3YM9ONTqiiIiIiIiIiFwBFdfkilh8SuNdth1eZdrgUbKW0XFcnptXML6V7sS30p3YbVlkxO0+V2xbT1biEaPjiYiIiIiIiMglqLgml+TmVyF3yGfZtrgHVjM6TpFlMlvxDGmIZ0hDqPcEmQkHSTm6mNTIP7FlJhodT0RERERERETOQ8U1OS+LVyg+le7Eu2w7rP4VjY5TLLkHVsU98DkC6z9J2sn1pBxdTPqpjYDN6GgiIiIiIiIico6Ka+LEI7QxvlU641XqJkxmi9FxhNwebd5l2+Bdtg056XGkHP2N5EM/k5N22uhoIiIiIiIiIsWeimuCyc0bnwq341vlXvVSK+QsnkH413wYvxo9SD+1geSDP5F+erPRsURERERERESKLRXXijGLdxh+1R7Ap2JHzFZvo+PIFTCZLHiVbolX6ZZkJR0n+fACUo4uxp6VYnQ0ERERERERkWJFxbViyBpYHb/q3fEu205DP4sAq185SjR4loA6fUg++AOJB+Zgz0o2OpaIiIiIiIhIsaDiWjHiGdoEvxrd8QxtbHQUuQbMbl7413wY38r3khQxl6Twedhz0o2OJSIiIiIiIlKkqbhWDHgE30Bg/adwL1HT6ChyHZjdfQmo0wffql1I2v8tSYd+BFuW0bFEREREREREiiQV14owN5+yBNR/Cu8yrYyOIgaweAQS2OBpfKs/QOK+maQcWQj2HKNjiYiIiIiIiBQpKq4VQSarLwG1euJbtTMms9XoOGIwN69gSjbqj3+N7pzd+zWpx/4EbEbHEhERERERESkSzEYHkAJkMuNbtQulb/8av+oPqLAmTtx8yhDU5BVK3ToVr7JtjY4jIkXQywMHcCIq0ulj5Ypljv0eHh6MH/cGu3btIPzAPj6f8hnBwcFO5yhbpgwzZnzFwYgD7Ni+jdeHD8NicV58p0WLm/ht8UIOH4pgzepVdO/e7brcn4iIiIjI+ajnWhHhWeomAus/hdWvgtFRpJCz+lckuPlIMhPCSdj+MRlxO42OJCJFyL59++nx4EOO1znZ2Y4/jxo1kltvuZmnnnqaxMQkxo0by7SpU+h8X1cAzGYzM2ZMJybmNPd2vo/Q0FA+eP89srKzmTDhLQDKly/P1zOmM+PrmTz3/Iu0ad2Kdya+TXT0aVasWHF9b1ZEREREBBXXXJ7VvwqB9Z/GM0wrgMqVcQ+sTkjbSaQc/pmEXZ9jz04zOpKIFAE5OdnExMTk2e7n58dDD/bguedfYM2atQAMHPAyK1cu58YbG7F16zbatWtLjRrV6fHgQ8TGxrJ79x7envgOw4a+xrvvTiIrK4tePR/l2LFIxowZC0BERATNmjXjySf6qbgmIiIiIobQsFAXZfYoQYlGAwm75VMV1iTfTCYzvlU6U+rWaXiGNTU6jogUAZUrV2brls2sW7uajz78gLJlygDQoEF93N3dWbVqtaNtxMGDHD9+nMaNc3+ONWncmH379hEbG+tos3z5Cvz9/alZowYAjRs3ZtXqVU7XXL58BY0b33jRXO7u7vj6+jo+fHx8CuR+RURERETUc80FeZe/hRI3vIjZ3dfoKFJEuHmHEdJqAilHfyd+x8fYs5KNjiQiLmjrtm30HzCQgwcPEhoaxssD+/PDD/PpcPOthIaEkpGRQWJiotMxMTGxhIaEABASEkJMTKzT/thzveBCQkNgd+7n/7aJiY3B398fT09P0tPTz5vtheef4+WXBxbUrYqIiIiIOKi45kJMVh9KNHwJn/K3GB1FiiifirfjGdaY+L8+IO3E6ksfICLyL8uWLXf8ee/efWzbto2NG9Zxb6d7SE/PMC4Y8OFHH/PZlM8dr318fNi2dbOBiURERESkqNCwUBfhEXwDpW75XIU1ueYsnkEE3zSaoGYjMHuUMDqOiLiwxMREDh06TKVKlTgdcxoPDw/8/f2d2oSEBHP6XO+0mJgYQkKcVw8NPterLeZ0jOPzf9uEBIeQmJh4wV5rAJmZmSQnJzs+UlJSrvr+RERERERAPdcKP5MbAXUfx6/6A5hMFqPTSDHiXa4dHiGNSNjxMamRfxodR0RckLe3NxUrVmT+/Pns2LGTzMxMWrduxcKFiwCoWrUK5cqVY8uWLQBs3rKFF198gaCgIOLi4gBo27YNiYmJHAgPB2DLli3cfPPNTtdp27YNW7ZsvY53JlKwynddYnQEw0V+r18gi4iI61LPtULMza8iYR0+xr9GDxXWxBAWD3+Cmr5GcMvxWLxCjI4jIoXciNeHc9NNN1GuXDmaNGnMF9M+x2bL4YcffyIpKYnZ385h1MgRtGzZgvr16zN50rts3ryZrVu3AbBixUoOHAjnww/ep06d2rRr145Xhgzmq+kzyMzMBGDG1zOpWLECw4cNpVrVqvTu3YtOne5hyudTjbx1ERERESnG1HOtkPKt2pWAev0wWzyMjiKCV6nmeNwylbjNb5J+ar3RcUSkkCpdujT/+/gjSpQIJO7MGTZt3MQ9nTpz5swZAEaNGo3dZuPzKVPw8HBn+fIVvDZ0mON4m81Gr96PMeHN8fy84CdSU1OZO3ceEye+42gTGRlJz169GT1qJH37Ps7Jk6cYNHgIK1asuO73KyIiIiICYCpdppzd6BDyD7NnSUo2HoJXWFOjo4jkYbfbSNzzFYn7ZxkdRUTkqvj6+nJg/15q1KxNcrIxKyRrKGAuDQfU9wLo+0BERAqfK3leVM+1QsSrTGtKNBqIxSPA6Cgi52UymQmo+zjWwGqc2fwW9pwLTx4uIiIiIiIiUhyouFZIBNR7Ev8aPYyOIXJZvMu2xepbnpj1r5OTctLoOCIiIiIiIiKG0YIGRjNbCWo2QoU1cTnWgMqEdfgfnqFNjI4iIiIiIiIiYhgV1wxkdg8gtM0kvMu1MzqKSL5Y3P0JbjUevxoPGh1FRERERERExBAqrhnEzbccYe0/wiOojtFRRK6KyWQhsN4TBDUdjkmr24qIiIiIiEgxo+KaATyCGxDa/kPcfMsYHUWkwHiX70Bouw+weIcZHUVERERERETkulFx7TrzLn8rIa3ewuLub3QUkQLnHliNsA6f4BHS0OgoIiIiIiIiIteFimvXkX+tngQ1fQ2Txd3oKCLXjMUjgJCWb+JVprXRUURERERERESuORXXrgeThZKNXyGgzmNGJxG5LkwWd4KajcC7/K1GRxERERERERG5ptyMDlDUmaw+BDcfjWdoI6OjiFxXJrOFkk1eweTmScrhX4yOIyIiIiIiInJNqLh2DZnd/Qlp8y7uAVWMjiJiCJPJTMlGAzC7eZEUPtfoOCIiIiIiIiIFTsNCrxGT1ZeQ1m+rsCYCBNZ/Gv/avYyOISIiIiIiIlLgVFy7BkxWH0Jbv417YHWjo4gUGgG1e+Nfq6fRMUREREREREQKlIprBczk5k1Iq7dwL1HT6CgihU5Ancfwq/mw0TFERERERERECoyKawXI5OZFSKsJeJSsbXQUkUIrsG5f/Kr3MDqGiIiIiIiISIFQca2gmK0Et3gDj6C6RicRKfQC6z+Jb7UHjI4hIiIiIiIictVUXCsQZoKavY5nSEOjg4i4jBINnsG3SmejY4iIiIiIiIhcFRXXCkCJGwfiXaaV0TFEXE5gg+fwDGtmdAwRERERERGRfFNx7SoF1H0C30p3Gh1DxCWZzBaCmg3Dza+i0VFERERERERE8kXFtavgV70b/jUfNDqGiEszW30JafEGZnd/o6OIiIiIiIiIXDEV1/LJq2xbAuo9aXQMkSLBzbcMQc1HgslidBQRERERERGRK6LiWj64+VWg5I2DMZn09okUFM+QhpRo1N/oGCIiIiIiIiJXxM3oAK7GZPEkuPkozFZvo6MUOf3uDOKJu4Kcth2JzqTHG0cAcHcz8VKXEG5r7IfVzcSGvSm8/d1pziTlXPS8lcLcea5zMDdW88JiNnH4VCavTjtBdHw2AC91CeHu5v6kZ9r4eEEsv21Ochx7c0Nf7mrmz6ApJwr2ZuW8fCvdRVbiEZIj5hsdRUREREREROSyqLh2hUo2HoTVX5OvXysHT2Tw/EfHHa9zbHbHn/t3DaFVXR9e++IEKWk2BnULZUK/Mjw5OfKC5ysbbGXKgPIsWHeWzxfGkZJuo0opdzKzcs/bup4PdzTx48WPj1Mh1J1hD4exfm8KZ1Ns+HiaeaZTsFMeufYC6z1FdlIk6dEbjY4iIiIiIiIickka13gFfKt2xbtcB6NjFGk5NjtnknIcH2dTbAD4eJq5t0UA7/8Qw5YDaeyLzGDsrFPcUMWLepU8L3i+Z+4JYu3uFD76KZYDxzOIis1i1a4U4pNze7tVCnNna3gq+yIz+H1LEqnpNsoEWQF4oXMw81cnOHq4yfWhFURFRERERETElai4dpncS9YlsL4WMLjWyoe488sbVfh+ZCVG9ypFWInczpW1KnhgdTOxcX+qo+3R6CxOnsmiXuXzF9dMJmhZ15djpzN5/9myLBpfhWkvl6dtAx9Hm/CoDGpV8MTPy0yt8h54WE0cj8nihiqe1CzvyXfLE67p/cr5aQVRERERERERcRUqrl0Gs0cJgpqPwGS2Gh2lSNt9NI0xM0/R/3/HeWvOacoEWfmsf3m8PUwE+bmRmWUjOc3mdMyZpByC/M4/urmErwUfTzO9bivJur0pvPhxFCt2JPNW3zI0quYFwIZ9qSzelMSXgyvw+qOlGD0zmrRMG0N6hPHWnGi6tgnku+GVmDKgPJVLuV/z90D+oRVERURERERExBVozrVLMhPUbDhuXsFGByny1u35p1daxIlMdh9N56fRlbmlkR8ZWfaLHHl+ZlPu55U7k/l2WQKQ21OtfmUvurYOYFtEGgBTF8UxdVGc47i+d5Zk0/5UsnPsPH5HSR5+8yit6/owqmcpek88lv8blCvmGdKQwPpPk7DjY6OjiIiIiIiIiJyXeq5dQkC9fniGNDQ6RrGUnGbj2Oksyoe4E5eUjbvVjK+X87dsST8LcUnnnxMtISWH7Bw7h09lOm0/ciqTsBLn74VYMczKnU38+eyXWG6s7s22iDQSknP4c1sStSp44u1hKpibk8vmW/U+PPR3UERERERERAopFdcuwqtMK/xr9DA6RrHl5W6ibLCV2MRs9h3LICvbTtMa3o79FUKtlC5pZdfh9PMen50De46mUzHUeThnhVB3Tp3JOu8xr/YI470fYkjLtGM2g5slt5j292ezWcW1681kMlPyxsGY3LyMjiIiIiIiIiKSh4prF+DmW46SjYcYHaNYefG+YBpV86J0STfqV/bkrSfKYLPZ+X1LEinpNhasO8tLXUNoXN2LWuU9eP2RUuw4lMauI/8U1+YMr0S7Br6O1zOXxHPrjX50bhlAuWArD7QNpHU9H+avSshz/c4tA0hIzmH1rhQAdhxKp0mN3NVIH+pQgkMnM/LM+SbXh5tPKQIbPGt0DBEREREREZE8NOfa+Zhy51kzW30v3VYKTGigG2MfK02At5mE5By2H0qj76RIEpJzAHjv+xjsdnizbxnc3Uys35fC23NOO52jUpi709DRFTuSeWtONL1vK8nA+0M4djqT16adYPsh595uJf0sPHZ7SZ6Y9M+canuOpvPN0ngmPV2WM0nZjJkZfQ3vXi7Ft9JdpEWtIj16o9FRRERERERERBxMpcuUu/KZ4os4v+rdCaz/lNExROQ/ctJiOflnX+xZyUZHEREX5+vry4H9e6lRszbJycb8m1K+6xJDrlvYRH5/i9ERDKfvBX0fiIhI4XMlz4saFvofFu8w/Gv3MjqGiJyHxSuYEje8YHQMEREREREREQcV1/6jRMOXMGvidJFCy6fCrXiVaW10DBERERERERFAxTUnXmXb41WqudExROQSSjTsj9k9wOgYIiIiIiIiIiqu/c1k9aHEDc8ZHUNELoPFswQlGg0wOoaIiIiIiIiIimt/C6z3JBbPkkbHEJHL5F22Dd7lNfmxiIiIiIiIGEvFNcC9ZF18Kt1ldAwRuUKBNzyPWUVxERERERERMZCKayYLJRsNwGTSWyHiaizu/gTUedzoGCIiIiIiIlKMFfuKkl+NHlgDKhsdQ0TyyafC7bj5VTQ6hoiIiIiIiBRTxbq45uZTFv9ajxodQ0SugslsIbDeE0bHEBERERERkWKqWBfXSjR6CbPFw+gYInKVvEq3wD2ovtExREREREREpBgqtsU1z1It8AxtbHQMESkggfWeNDqCiIiIiIiIFEPFtrgWULun0RFEpAB5BNXBq0wbo2OIiIiIiIhIMVMsi2uepW7CvURNo2OISAELqNsXtPKvyFXz9/c3OoKIiIiIiMsolv8LVa81kaLJ6lcen0p3GR1DxKU89+wz3HtvJ8frTz/9H7t37WDL5k3UqVPbwGQiIiIiIq6h2BXXPMOa4V6iltExROQaCajdC5PF0+gYIi6jZ89HOXHiBABt27ShbZs2PPpoL5YtW8brw4df1bmff+5ZTkRFMnr0SMc2Dw8Pxo97g127dhB+YB+fT/mM4OBgp+PKlinDjBlfcTDiADu2b+P14cOwWCxObVq0uInfFi/k8KEI1qxeRffu3a4qq4iIiIhIfhW74pp/7V5GRxCRa8jiGYRf9QeMjiHiMkJCQh3FtVtvvYWff/mFFStX8r9PPuGGGxrk+7w33HADjz76CLv37HHaPmrUSG677Vaeeupput7fjbBSYUybOsWx32w2M2PGdNytVu7tfB8v9R9A9+7dGDx4kKNN+fLl+XrGdNasXcdtt3dk6tSpvDPxbdq1a5fvvCIiIiIi+VWsimueYc3wKKkhLiJFnV/17pjdA4yOIeISzp49S5kyZQDo0KE9q1atBsBkMuXpLXa5vL29+eijDxg85BXOJpx1bPfz8+OhB3swavQY1qxZy86dOxk44GWaNm3KjTc2AqBdu7bUqFGd5194id2797Bs2XLenvgOj/XuhdVqBaBXz0c5diySMWPGEhERwZdfTefXXxfy5BP98v9GiIiIiIjkU7EqrvlrrjWRYsFs9dHfd5HLtGjRIj7+6EO+nT2LEiVKsHTpMgDq1a3HkSNH8nXO8ePfYMmSpY5C3d8aNKiPu7u70/aIgwc5fvw4jRs3BqBJ48bs27eP2NhYR5vly1fg7+9PzRo1AGjcuDGrVq9yOvfy5Sto3PjGfOUVEREREbkabkYHuF48w5riUbKO0TFE5DrxrXQ3iftmYcuINzqKSKE2ctRoIiOPU6ZMad54YzypqakAhIaFMn36jCs+X+d776V+vfrcdfc9efaFhoSSkZFBYmKi0/aYmFhCQ0IACAkJISYm1ml/bExM7r7QENid+/m/bWJiY/D398fT05P09PQ813Z3d8fd3d3x2sfH54rvTURERETkfIpNcc2/luZaEylOTBZ3fKvcS+Le6UZHESnUsrOz+fSzz/Js//zzqVd8rjJlSjNmzCgefOhhMjIyrj5cAXrh+ed4+eWBRscQERERkSKoWAwL9QhtjEeQeq2JFDe+lTuB2Wp0DJFC7/77u/LjD/PZumUzZcuWBaBfv77ccfvtV3SeBvUbEBISwm+LF3Hs6GGOHT1My5Yt6Pv44xw7epiY2Bg8PDzw9/d3Oi4kJJjT53qnxcTEEBLivHpo8LlebTGnYxyf/9smJDiExMTE8/ZaA/jwo4+pUbO246PRjU2u6N5ERERERC6kWBTXArRCqEixZPEsgU/5W4yOIVKo9erVk1EjR7B02XICAvwdixgkJibS74m+V3SuVatX0+HmW7nt9o6Oj7/+2s73P/zAbbd3ZPv2HWRmZtK6dSvHMVWrVqFcuXJs2bIFgM1btlCrVi2CgoIcbdq2bUNiYiIHwsMB2LJlC61btXa6dtu2bdiyZesFs2VmZpKcnOz4SElJuaJ7ExERERG5kCJfXPMIbohHUD2jY4iIQXyrdjU6gkih9nifxxg8+BU++OBDcnJyHNu3b99B7Vq1ruhcKSkp7N+/3+kjNTWV+Ph49u/fT1JSErO/ncOokSNo2bIF9evXZ/Kkd9m8eTNbt24DYMWKlRw4EM6HH7xPnTq1adeuHa8MGcxX02eQmZkJwIyvZ1KxYgWGDxtKtapV6d27F5063cOUfAxlFRERERG5WkV+zjXfKp2MjiAiBnIPrIpHSCMyYrYZHUWkUCpfvgI7d+3Ksz0zMwMvL+8Cv96oUaOx22x8PmUKHh7uLF++gteGDnPst9ls9Or9GBPeHM/PC34iNTWVuXPnMXHiO442kZGR9OzVm9GjRtK37+OcPHmKQYOHsGLFigLPKyIiIiJyKUW6uGb2CMSrTKtLNxSRIs2vahcV10QuIDLyGPXq1iUqKsppe4f27YmICL/q8z/QrbvT64yMDIYOG87QYcMveExUVBQ9e/W+6HnXrVvP7XfcedX5RERERESuVpEurvlUuAOTJjMXKfY8S92ExSuYnLRYo6OIFDpTpnzOuPFv4OHpgclkolHDhtx3X2deeP45Bg0aYnQ8EREREZFCr2gX1yrdZXQEESkETGYLPhXvJHHf10ZHESl0vpn9LWnp6QwZMhgvLy8+/vhDTkVHM2LESH5asMDoeCIiIiIihV6RLa55hDTE6lfO6BgiUkj4VLqTxH0zAbvRUUQKnR9++JEffvgRL09PvH18iIuLMzqSiIiIiIjLKLKrhfpUutvoCCJSiLh5h+FZqpnRMUQKnfLly1O5ciUA0tLTHYW1ypUrUa6cfkklIiIiInIpRbK4ZrL64F2mtdExRKSQ8a18j9ERRAqd9yZPokmTJnm2N2rUiPcmTzIgkYiIiIiIaymSxTXvsu0wWdyNjiEihYxnWHMsnsFGxxApVOrVq8umTZvzbN+6dRt169YxIJGIiIiIiGspmsW18rcaHUFECiGT2YJX2bZGxxApVOx2O74+Pnm2+/n5YbFYDEgkIiIiIuJailxxzeIVikdwfaNjiEgh5VW6pdERRAqVDRs28PwLz2E2//NIYDabeeGF59i4cZOByUREREREXEORWy3Uu/wtmExFrmYoIgXEI7g+Jqsv9qxko6OIFApvjHuTH76fx6qVK9i4cSMAzZo1w8/Pl27dHzQ4nYiIiIhI4VfkqlA+FTQkVEQuzGR2w6tUc6NjiBQa4eHh3HLr7fz8yy8EBQfh4+vDvHnzaNuuA/v37zc6noiIiIhIoVekeq5Z/atg9a9kdAwRKeS8SrckNXKJ0TFECo3o6GgmTHjL6BgiIiIiIi6pSBXXPEs1MzqCiLgAz7CmYHIDe7bRUUQMUbt2Lfbt24/dbqd27VoXbbt3777rlEpERERExDUVreJa6I1GRxARF2C2+uAZ0pD005uNjiJiiD9+/40bGt5IXFwcf/z+G3a7HZPJlKed3W6nfIVK1z+giIiIiIgLKTrFNbMV96B6RqcQERfhVaalimtSbDW/qSVxcXGOP4uIiIiISP4VmeKaR3ADzBYPo2OIiIvwLNUC+MDoGCKGiIqKcvw5NjaWjIwMA9OIiIiIiLi2IrNaqGdoY6MjiIgLcfMOxRpY3egYIobbsX0b7703ibZt2px3aKiIiIiIiFxcESquab41EbkyXqU1HE7kpf4D8fLy4ssvp7F1yyZGjx5JgwYNjI4lIiIiIuIyikRxzewRiDWgqtExRMTFqLgmAosXL+app56hwQ2NmDDhbWpUr8EvP//EqlUrGND/JaPjiYiIiIgUekWiuOYZ0giTqUjciohcR+6B1bB4hRodQ6RQSElJYc533/HQw49wy623k5aaysCBA4yOJSIiIiJS6BWJipSH5lsTkXzyDGtidASRQsHDw4NOne7hi2lT+W3xQgIDA/nkk0+NjiUiIiIiUugVidVCNd+aiOSXe2ANUlhodAwRw7Rr144uXTrT8Y47yM7J4ddff+Whhx9lw4YNRkcTEREREXEJLl9cc/Mth5t3mNExRMRFuZeoYXQEEUN9Me1z/vjjT156aQBLli4lOzvb6EgiIiIiIi7F5YtrnhoSKiJXwepfGUxuYFdBQYofi8XCuHHj+fmXX4mJiTE6joiIiIiIS3L5OddUXBORq2GyuGMNqGx0DBFD5OTkMGzYUNzd3Y2OIiIiIiLisly+uOZesrbREUTExbkHamioFF/btv1F/Xr1jI4hIiIiIuKyXHpYqNnqh8WzpNExRMTFuZeoQcqRX42OIWKI6TNmMGLE65QuXYodO3eSmprqtH/v3n0GJRMRERERcQ0uXVxz869odAQRKQLUc02Ks0/+9zEAY8eOcWyz2+2YTCbsdjvlK1QyKJmIiIiIiGtw6eKa1b+S0RFEpAiw+lcCsxVsWUZHEbnumt/U0ugIIiIiIiIuzbWLa37quSYiV89kccfqX5mshANGRxG57qKiooyOICIiIiLi0lx6QQMV10SkoLiX0NBQKb7uv78rP/34PVu3bKZs2bIA9OvXlztuv93gZCIiIiIihZ9rF9c055qIFBDNuybFVa9ePRk1cgRLli4jIMAfi8UCQGJiIv2e6GtwOhERERGRws9li2smqw8Wr2CjY4hIEaGea1JcPd7nMQYPfoUPPviQnJwcx/bt23dQu1YtA5OJiIiIiLgGly2uaUioiBQkx6IGIsVM+fIV2LlrV57tmZkZeHl5G5BIRERERMS1uG5xTSuFikgBMpmtuHmFGB1D5LqLjDxGvbp182zv0L49ERHhBiQSEREREXEtLrtaqHquiUhBs3gGkZ1ywugYItfVlCmfM278G3h4emAymWjUsCH33deZF55/jkGDhhgdT0RERESk0HPZ4pqbFjMQkQJm1jyOUgx9M/tb0tLTGTJkMF5eXnz88Yecio5mxIiR/LRggdHxREREREQKPZctrqnnmogUNItnSaMjiBjihx9+5IcffsTL0xNvHx/i4uKMjiQiIiIi4jJccs41k5sXbt6hRscQkSLG4hlkdASR687T0xMvT08A0tLT8fT0pF+/vrRr29bgZCIiIiIirsEli2tmj0CjI4hIEaTimhRHX34xjQe6PQCAv78/C3/9maefepIvvphGr149DU4nIiIiIlL4uWZxzeprdAQRKYJUXJPiqH79emzYsBGAe+6+i9MxMTRtdhMv9e9P38f7GJxORERERKTwc9Himp/REUSkCNKca1IceXl5kZKcDEDbdm1ZtHARdrudrVu3Uq5cOYPTiYiIiIgUfi5aXFPPNREpeBYv9VyT4ufw4SN07HgHZcqUpn27dqxYuRKAoKBgkpKSDE4nIiIiIlL4uWZxzV3FNREpeGarLyaLp9ExRK6rye+9x+uvD2fD+nVs2/YXW7ZsBaBdu7bs2rXb4HQiIiIiIoWfm9EB8kM910TkWrF4liQ75YTRMUSum19/XcjGjZsICw1l9549ju2rV69h8aLFBiYTEREREXENrllcc9ecayJybVg8g1Rck2InJiaGmJgYp21//fWXMWFERERERFyMaw4LtfoYHUFEiiizVgwVERERERGRK+CSxTWTVgsVkWtEK4aKiIiIiIjIlXDJ4prmXBORa8Vk8TA6goiIiIiIiLgQ1yyuabVQkav2QJsAfhhVmZWTqjHt5fLUqXjhVTIrl3JnQt/S/DCqMhs+rMGD7QPztLmjiR8LxlTmj7eq8lKXEKd9pUu6Mff1Svh4Fv5/ckxmi9ERRK653xYvJCAgAIAB/V/Cy7NgVsnt1asnf/7xO/v37WH/vj0sWPAjHTq0d+z38PBg/Lg32LVrB+EH9vH5lM8IDg52OkfZMmWYMeMrDkYcYMf2bbw+fBgWi/PfyxYtbuK3xQs5fCiCNatX0b17twLJLyIiIiKSH4X/f7rnoZ5rIlfn1ht9ealLCNMWxdH77WNERGXw/rNlKeF7/sKSp7uJqNgs/rcgltiz2Xn2B/iYGfpQGB/8GMOLHx+nY1M/WtX9Z27EId3D+HhBLCnptmt2TwXGVHSKa2azGZPJZHQMKYSqVauOt7cXAAMHDsDbp2DmMj158iTj33yTjnfexZ133c2aNWv58otp1KhRA4BRo0Zy22238tRTT9P1/m6ElQpj2tQpjuPNZjMzZkzH3Wrl3s738VL/AXTv3o3Bgwc52pQvX56vZ0xnzdp13HZ7R6ZOnco7E9+mXbt2BXIPIiIiIiJXykWLa5pzTeRqPNShBD+tS+SXDYkcPpXJhDmnSc+006mF/3nb7z2WwYc/xfLH1iQys+159pcNdicl3cafW5PZeyyDLeFpVC7lDsDtjf3IzrGzfHvyNb2ngmK6yuLa3XffxZI//+BgRDi7du1gzrff4OWVW8R4+KEHWbF8KYcOhrNyxTJ69+7lOG7BTz8wbOhrTucqWbIkR48connz5gC4u7sz4vXhbNm8iYjw/fzy8wJatLjJ0b57927s3bOL22+7jeXLlnDk8EHKli17yeOk+Nm9ZzeTJ73LwAH9MZlMPPP0Uwzo/9J5P67EH3/8ydKlyzh8+AiHDh3mrbfeJiUllcY3NsLPz4+HHuzBqNFjWLNmLTt37mTggJdp2rQpN97YCIB27dpSo0Z1nn/hJXbv3sOyZct5e+I7PNa7F1arFYBePR/l2LFIxowZS0REBF9+NZ1ff13Ik0/0K/D3SURERETkcrhkcc1k9TY6gojLcrNArfKebNyf4thmt8Om/SnUr+SVr3NGns7E02qiRjkP/L3N1KngQXhUBn5eZp68O4iJc08XVPxr7yqKa6Ghofzv44/4ds4c2rXvwAMPdGfhosWYTCa6dLmPQYMGMeGtt2nX/mbenPAWgwcPolu3BwD4/vsf6dz5Xqfzdb63E9HR0WzYsAGAcW+MpXHjG3nm2ee45dbb+eWXX5k182sqV67kOMbLy4vnnnuGQYOH0OHmW4iLjb2s46R4GTBgIPHxCdx6663Y7XY6dOjAnXd2zPPRseMd+b6G2Wym87334u3txeYtW2nQoD7u7u6sWrXa0Sbi4EGOHz9O48aNAWjSuDH79u0jNjbW0Wb58hX4+/tT81zvt8aNG7Nq9Sqnay1fvoLGjW/Md1YRERERkavhZnSAfLHn7TkjIpcn0MeCm8XEmcQcp+1nknKoGOaer3MmpdkYPTOakT1L4WE1sXBjEhv2pTLs4TDmrUygTJCVd54sg5vFxNRFcSz9q/D2YjOZ8//PYlhoKFarlYULFxEVFQXAvn37ABj08suMGTOWRYsWAxAZGUmNGjXo+egjzJ07jwU//8zo0SNp1qwZGzduBKBLl/v48cefgNx5qHr06E7TZjcRHR0NwKeffUaHDu3o0aMHEya8BeT2bntt6DD27Nl7RcdJ8XLw4CGeefY5AI5HHqV7jweJi4srkHPXqlWLnxf8iIeHBykpKfTt9wTh4eHUq1uXjIwMEhMTndrHxMQSGpI7T2NISAgxMbFO+2NjYnL3hYbA7tzP/20TExuDv78/np6epKennzeXu7s77u7//BvnU0BDYUVEREREXLS4lnfOJyl+7PYcrDnJuOWkYLWl4JaTitWWgtWelvthS8NqTyc1285Jmw/JPhayrSawmTBhAjuY7IDdBJhy/2wzYSJ3mwkTnJsizGQ3Ybdz7rhzbR2vOXeM+dznc/vsJsex/27ruJbT8ddvXqyGLSsAVXm3XyiBAZ4MHfMnq9cdwxLfBHN6aTwiVuc5pss9tenaqTalwnyxWMzULZHk1K5JozK8cGcLSgaaWL3uGLM/WU2z2qFUDyrBFx/8yfyZDzLmreVEHDrDZ+/fy+4/lpNw9vz/ATZaxtn897LbvWcPq1atYumSP1i+YgUrVqzk118XkpmZSeXKlXj33YlMnPhPMctisZCUlATAmTNnWLFyJV273sfGjRspX748TZo0YcgruUNFa9WuhZubG6tXrXC6pru7O/HxCf/kz8hwFNau5DgpvsqVr1ig5zt48CC33d4RPz8/7rn7Lt5/bzJd7zd+wYEXnn+Ol18eaHQMERERESmCXLK4Zre5wKToxZAlJwW3nGSsOSm42VNxs6VhtaWeK3L9XezKwEr6uc+Zjg93srCSjbsp98NqysHdlIO72Ya7yYbVbMf93IeHGdwtJtwtptzv4Mv4Lo5LtrPjqDvx6T6kentx2sfOGW8TSb5upPpZyfb3xO7vhcnNwt/9Iq97/0g72G12sIHp3Gfs5L6228Fmyu21aft7W+5+07/a5b625xYM7cC5P5vs/xyTHpSNzWbjp7Wr6X3nrWQHHSGz7E4Cy9QjNu0UWWE7/ik62qHLzS158sFGvPX5HPYdjOSzsf1p37oCSzbZWLt5L2ZMjHilOzO/X8qmbfsZM6QXXTqX4J7bb2T8pFm89GwHMjKzWLl2MdhNHI9qToNaWazbcMBxDUfRkn+KkY4iJCZHofLvNo7iJ/8ueP7r9b+PdZzbBP8+6u+iKv/+DLb0JPJbXrPZbPR48GGaNmlCu3ZtebxPH159ZQi9H+sDwKDBQ9i27S+nY3Jy/ulB+MP3PzJ27GiGDx9Bly73sWfPXkfPNx8fH7Kzs+l4513k5Dj/G5iS8s8Q3//22rnc46R4q1ixIk/060v16tUAOHAgnKnTvuDo0aNXfK6srCyOHDkCwM6dO2nY8Ab69XucBQt+xsPDA39/f6feayEhwZw+1zstJiaGRo0aOp0v+FyvtpjTMY7PISHOK4yGBIeQmJh4wV5rAB9+9DGfTfnc8drHx4dtWzdf8f2JiIiIiPyXSxbX1HPtMtiyzvXqSsZqT83t3WU/V+g616Mrt4dXem6B61/Frn8KXVlYTdm4k1vosppt5wpe/yp0WcDdDFaLCYvFBNd0oUXTuY8rF+RrokPdLCCB4/EJ7I10x3IygJIWdyAHSCHHnky0ew4nvW2c9raT4Gsh2ddCuq87tgAv8PW8tisvmsDkeA+dr3O+Ql9+i39Ls/ex+3QkHmU8AMiqaCYzx43GN9RgzvbVpN/oPBXj7R2bMG/POn5mO1SFNDKJiD7Fgz1v5nevPZTw8iEwwJevU1eTWS2bpad2c3OnRqyO2kdWSzMV64SRZcoh4fbcv7emEmZSmuRwpmRmPu/g2krZFA1Lr+4cmzZvZtPmzUya/B4bN66nadOmnDx5iooVK/LDDz9e8LjFv/3G229PoEOH9nS5rzPz5s137Nu1axdubm4EBQU7ho1ejvweJ8VHu3bt+OrLaezevYdNm3OLTU2bNGHZ0j957LHHWblq1SXOcHEmsxl3dw927NhJZmYmrVu3YuHCRQBUrVqFcuXKsWXLFgA2b9nCiy++QFBQkGOYatu2bUhMTORAeDgAW7Zs4eabb3a6Rtu2bdiyZetFc2RmZpKZWTj/3RERERER1+aSxTW7PefSjQoRuz0Ht5wUx/BFqy3lXK+uNNz+HsJoTz/3kYG7PQMrGVjJwp3M3M+m7H/17MrJ7dl1rlfXP8UucLfk9uqymk25y1VYr9Vd5b/QZbRyJaBciUwghoOnISLKE6/MAPwtnpTJcqPMWeDsv4/IArJINyUQ5ZHNKW87cd4mEnwtpPq5kenngT3AC5Nn/uYrM8LMbSsYc9tDAIT6BjC0wwN4ubnz057c4svY2x7idEoiH679FavFjWxbNjWCywBgNVtwd3OjTmg5KpUI4Uh8DDHJZ2lRoSYbIg/QomINQnwCmLLxd6bd/zyjl3zHe50e5746zYlNTaRSiVB2R0cadu+XlJP/nrGNGjWkdevWrFixkrjYWBrd2IigkiUJDw/n3XffZezYMSQlJrJs+XLc3T24oUEDAgIDmHKuN01aWhqLF//GkMGDqF69umO+NYBDhw4zf/73fPD+ZEaPGcuuXbsJCgqidetW7N27lyVLzl8RzO9xUnwMG/oqn38+lfFvTnDaPvS1Vxk27DVWdrz84tprr77C0mXLiYqKwtfXly73daZlixY8/PCjJCUlMfvbOYwaOYKEhASSkpIZ98YYNm/ezNat2wBYsWIlBw6E8+EH7/PGuHGEhITyypDBfDV9hqMwNuPrmfTp8xjDhw3l22/n0Kp1Kzp1uoeevR4rsPdERERERORKuGRxDdvV9Vwz2dKx5iT9M0eXLRU3W2ruEMZ/9+iyZzh6dLn/q1eX27leXU7DF0223GLXv3p1uZv/LnSB2c10Dd9t1y10Ga1qKFQNTSfHlsbek2YiT3nhnx2AjyVvoczTbqZqujtV04Ezf2+1A+lAOgmWbKK8coj2Js+QU84NOS0sfg//ixJevrzaviuD29zH3pjjPPfTFM6k5S40UMqvBLZzC4esO7qf++reRN+mtzmOD/ENAGDUrQ/y2NwPGbJoBoPadmZw2/twd3PjjaXf8dANbdh0PILkzDTiU5MZ1uEB0nOyeGvF98SknM0bqpCw2/I/IDgpKZmbmjfniX598fX1JSoqijFjxrJs2XIA0tLSeeaZpxg+fBipqWns27ePz6dOczrH9z/8wKyZX7Nu3XqiTpxwbN+wfi3TvviSo0ePMnLE65QqVYozZ+LZunUrf/655KK5Bgx8mf4vvXjFx0nxUK1aNZ56+pk827+dM4d+/fpe0bmCg4P54P3JhIaGkpSUxN69e3n44Ucdvd9GjRqN3Wbj8ylT8PBwZ/nyFbw2dJjjeJvNRq/ejzHhzfH8vOAnUlNTmTt3HhMnvuNoExkZSc9evRk9aiR9+z7OyZOnGDR4CCtWrMiTR0RERETkejCVLlPO5ZbevLdZe4I8bFjJcvTqcic7dwijU4+uf4pd1nO9ujzMJixmFaLkwrJy7Ow4ZuF0rDcl7QF4XMXqkX/Lsdtzh5x65RDjA/E+ZpL9rKT7Wsnx98Lk64nJgO/LbS9OYsAvX7D80K4LtvGwWHm1fVfurtUEkwnOpCbz674t9GlyM7d8PsJRkPu3CoEhfHhvPx6c/S7T7n+e2X+tZPXRfcx7ZDBP//Ap4XEnr+VtXZXk1btJWbPH6Bh5bFi/ls+nTmPqf4pxIldr86YNjBo9hl9++dVpe6dO9zDi9eE0bXaTQcmuLV9fXw7s30uNmrVJTjZmBePyXVXgBoj8/hajIxhO3wv6PhARkcLnSp4XXbLn2i2++6gW6HGZrdWrS66M1WKicWUbVE4mNTOJv466kRjvQ7ApADeT+dInOA+LyZQ75DTLDRL/vef8Q07P+ppJ8bOS6eeBzd8Ls5dxQ04zcrIYvWQO45bNpaS3H7EpidxfrwXJmenEp51/QvzhN3dj0qoFmE0maoeW44+I7aRnZ7El6iCNy1Yt1MU1e3bhGnZutVrJysoyOoYUYbNmfcPbb02gYoUKbNqcO/dZs6ZNePbZZ5jy+VSD04mIiIiIFH4uWVxLy3K5znbiorzdTbSsngMkkpB6lu1HraQn+hFi9sNcgIsbXPaQUy8442MiyddCmp87WddxyGm2zcbp5NzhnHfUaMSqw3uwn2dZhfvqNCcxPZUVh3fj5+EFgJvZAmThZrZgNuevQHm92DOurpBlMpl47rlnefSRhwkJCeXQ4UO89977/PrrQsxmMxPffotWrVoSEhLKiRNRfDV9BtOmfeE4fvLkSQT4+/PX9u081rs3mZkZ3NSildM1Jr37DkHBQfTu3cexzc3Nja1bNvHmmxOY/e2cq7oHKV4mv/c+ySkpPPXUk7z22qsAnIqO5t1Jk52+N0VERERE5Pxcs7iWnf8Jx0XyK9DbRLva2UA80Yln2HXMA3uKH8EW32t/7Rw3ApPdqJsMxPy99Z9VTk+753Di3JDTBB8zSb5uZPh5kO3vmWfIqZfVnfIBwY7XZf1LUiO4DInpqZxKTuCFlncT6uPP63/MBnKHeNYLq8CuU0fx8/SmZ6N2VC1Zitd//yZPzhJevvRreit95n0IQFJGGofOnOLhhm1Zf2w/zcpXZ+qmP6/Ru1Qwrra49sILz3N/1y688upQDh8+zE03NefDD94nLu4Mmzdv5uTJkzz51DPEx8fTpEljJr79FqdPn+bnn39xnKN161YkJSfx4EMPn/ca38yezffz5xEaGsrp06cBuPXWW/Hy8uKnBT9fVX4pnj7/fCqffz4VHx8fAFJSzt8rVURERERE8nLR4pp6romxwvxNhNXLBOI4EhfHgUgP3DMCCLR4XfcsFpOJ0llulM4z5DQTyCTj3JDTk+eGnFZqXI/JzwxytBrU9j4AFuzZyMg/vyXY249SfiWczt/zxnZUDAwl25bD5uMRPDb3A04mxefJMqTtfXy9bQUxKf8EGfHHt4y57SEeuqENM7YuZ8/pQrxSKGC7iuKau7s7L77wPD0efIgtW7YCcOzYMZo1bUrPRx9h/fr1vPPuJEf7yMhImjRuTKdO9zgV11JTUxk0aMgFh4Nu3ryFgwcP8sD9XfnfJ58C8GCP7vzyy6+kpqbmO7+IimoiIiIiIlfORYtr6rkmhUelIKgUlAGcZu9JOHrSC9+sQHzPs+KoETzsZqqku1Pl7yGnxw/w5U+POPafteRw3CuHaC87ZXxMvLNzEml+7tjPDTk9HH+ah2ZPuuD5/+2132bm2bY7+hj3z3yrgO7m2rOnZ+b72EqVKuHt7c23s5179VmtVnbt2g3AY7178+CD3Slbtiyenp5YrVZ273ZeQGHfvn2XnGftm9nf8ugjD/O/Tz4lODiYDh3a0637g/nOLiIiIiIiIvnjksW1VPVck0KqdmmoXTqNbFsqu46bOXnamxK2QDwLYMXRayUgx0JAsuWCQ05j3HOIyjPk1J0cfy8waJXTa8mWlv/imo+PNwA9ez3GqVOnnPZlZmbQ+d57ef314YwZO5Ytm7eQnJLCM888xY2NGjm1TU1Nu+S15s2bx9DXXqVx4xtp0qQJxyIj2bhxY76zi4iIiIiISP4U3v/xX0RcWrbREUQuys1somEFOw0rpJCelcz2Y26cOeNNMAFYTdd+8YGCYjGZKJXlRqkLrHKa8a9VTmO94ayvhRTf3FVO7QFemAxc5TS/bKkZ+T72wIFw0tPTKVu2DOvXr8+zv2nTJmzespnp02c4tlWqWDFf14qPT+C3336nR/fuNG7cmDlzvst3bhEREREREck/lyyunU7NMTqCyGXztJpoXjUHqiaRmJ7I9qNupCb4EWz2x1KAK44aIc+QU+Dfq5yeteQQ5ZlDtLeduH+vcurnAf7emKyFq9Boz7Fd1YIGKSkpfPrZFEaPGonZbGbjxk34+/nRtGkTkpKTOXz4MA88cD/t2rUjMvIY999/PzfccAORkfmbh+6bb2YzffqXWCwW5s6dl+/cUny5ubkxa9bXvPrqaxw+fMToOCIiIiIiLslFi2vquSauyd/TRJuaOUACsckJ7DhqJSfZjxCL3zW/ds0ut1Cr6634lg4BIOHQcf764gei1m8/b/uK7ZrQoHdn/MqFYXazkBgZze7ZCzm4eLWjTb2H76LeI/cAsHPmL+yevdCxL7hOVToN7sMv/UZQJ8X2nyGnqeTYUy4y5NQTfL2u+5DTqxkS+re3355IXFwcLzz/HBUqVCAxMZGdO3fxwYcfsW3bNurVq8enn3yM3W7nx58WMH36DG6+uUO+rrVy1SpOnz7N/gMHiI6OvursUvxkZ2dTp3Zto2OIiIiIiLg0U+ky5VxuAjN/dzOz7ylvdAyRAhN5xs6+455Y0vwpafG+Jtco37oR9hwbiZGnwGSi2l1tqPfIPSzoPZSEw1F52pdqVBt3fx/OHjmBLTub8q0a0fSFR/hj0ERObNhJiarluWfqaP4c9A6YTNz6ziB+6TuC+IORmCxmOn0xlrUTphG791C+8maYbLlDTr3sxPlAgo+FFL/cIae2AC/M12DIadaJM5z5ekmBn/da8fb2ZuuWTQwY+DKLFi02Oo64qFGjRpKZkcH4NycYHeW68vX15cD+vdSoWZvk5GRDMpTv6jr/3lxLkd/fYnQEw+l7Qd8HIiJS+FzJ86JL9lxLzLSRlm3Dy81sdBSRAlG+pInyJTOAGMKj4dAJT7wyA/C3eBbYNSJXb3N6vfWzudTqeish9aqdt7h2attep9d7vvuNane1IeyGmpzYsJOASmU4ExHJyS25K13GRxwjoGJp4g9GUu+Re4jeti/fhTX4z5DT+L+3nn/I6RkfE4k+FtL8r27IaU5Sar7zXk8mk4mSJUvy9FNPkpiYyO+//2F0JHFhbhYLD/bqSZs2bdixc0eeBTVGjx5jUDIREREREdfgksU1yB0aWtHf9SZLF7mU6mFQPSydHFsae06YOR7tRUBOIN5ma4Fdw2Q2Uenm5rh5enB6Z8RlHVO6SV38K5Qm+uNvAYiPiCSgQil8woLAZMK/fGniDx7Hr2wo1e9uy4I+wwss7/kE5FgISLFQJ4UCG3KaczblmmYuKGXLlmXjhnWcOHGC/gMGkpOjeSgl/2rWqsnOXbsAqFKlitM+u93lOreLiIiIiFx3Llxcy6Giv9EpRK4di9lE/XJ26pdLJTMnhR3HLMTEehNkD8TdnL+FAEpULc/dU0ZhcbeSlZbO0lcnc/ZI3l5rf7P6eNFjwUdY3N2w5dhY/85XnNiU+5/ws0dPsOXT77jj/VcB2PLpHM4ePcEdH7zG5o9nU7Z5Axr17YotJ4cNk78m+q99+cqcH5de5fQsUR45nPKyOYacpvpZST919rplvBrHjx+nTFkNjZeC0a1bD6MjiIiIiIi4NBcurmlRAyk+3C0mmlS2QeVkUjKS+OuoG0kJvgSb/HEzXf7w6LNHT/BT76G4+3hR6ebmtHn9aRY++8YFC2xZqen81HsoVi9PSjepS9MXHyEp6rRjyOj+H5aw/4d/5ompdlcbslLTOL0znK5z3uGXx1/HOzSI9mOeZ+79/bFlFY6/t7lDTs15hpzOOJ2Ea5TXRApepUqVqFixIhs2bCA9Pd3oOCIiIiIiLkPFNREX4+NholWNHOAsZ1JyVxzNTPIj2OyH2XTx1TVt2TkkHc9dVTJu/xGCa1ehbo87WPvWF+c/wG53tD8TfpTASmVo0OvePPOxAXgE+NLw8a4sfGYsIXWrkRh5isTj0SQej8bsZiGgQu58bIVZXHbapRuJFDElSgTy6aef0KplS+x2O61at+XYsWNMevcdEs6eZcyYsUZHFBEREREp1Fx2RQAV10SgpI+J9nWyub15PKVrHCXW4yRxOZc/b5jJZMJsvYK53MwmzO7nr8k3e6knu79dRGrMGUwWM2a3f4aumiwWTObC/c+NzW4nPlu9daT4GTVqJNlZ2TRt1py0tH8KzD8t+JkO7dsZmExERERExDW4bM+16BQV10T+rXSAidL1M4FYDsXEEh7liWdGAAHnVhxt/EwPjq/bTsqpWKw+XlS5vSWlbqzN7/3fAqDNiKdJjYlnyydzAKjf617i9h4iMSoai9VKuZYNqdaxNWvf/jLPtcs0rUdAhVKsGvspALF7DhFQsQxlb7oBn7CS2G02zh47cX3eiHxKyMkgB03eLsVPu7ZtefiRRzl58pTT9sOHD1OuXDmDUomIiIiIuA6XLa6p55rIhVUJgSoh6UA6e06YOHrKE7dAX9qMeBrvoEAyk1OJPxjJ7/3fcixQ4BMWhN32T3HJ6ulBi8F98A4tSU5GJmePnmDlqE84vGS907UsHlZuerk3y1//CM6tLJgac4b1706n9fAnsWVms2rsp+RkZF23+8+P6MxkoyOIGMLb29upx9rfAgMDycjMNCCRiIiIiIhrcdniWnyGjfj0HEp45m/VRJHiok4ZO3XKpJGy+HW+m2omOsabErZAPM3Of/0XPzfO6fXWKXPZOmXuJc+fk5HF9w8OzrM9/OflhP+8/CqSX18nsy5/OK1IUbJhw0YeeOABJk58BwC73Y7JZOLZZ59m7dq1BqcTERERESn8XLa4BnAgPoPmpb2NjiHiEtwsJm6saIeKKaRlJfPXUQtnz/gSZArAegUrjhZVpzJVXJPi6Y1x4/luzmxuaNAAq9XK8OFDqVmjBoGBgXS+r6vR8URERERECj2XLq7tP5Op4ppIPnhZTbSoZgMSOZt2lu1HraSd9SXE7H/JFUeLqpNZGhYqxdP+/ftp3aYdffo8RnJKMj7ePixctJivvprO6dOnjY4nIiIiIlLouXRx7UB8htERRFxegJeJtrWygQROJ8az65g7thR/gi2+Rke7btJt2ZzRSqFSjCUlJfHBBx8aHUNERERExCW5dHEtPD4Tm91ebHvaiBS0UH8TN9fLAuI4diaO/ZEeuKX7U8JStHuIRmu+NSnmAgICeOjBB6levRoAB8LDmTPnOxISEowNJiIiIiLiAlx6oqXkLBsnkrVqqMi1UKEk3HZDBh2ax+BV7iinLKdJyimavUVdYb61eXO/Y/TokUbHkCKoefPmbFi/lr59+xAQEEBAQAB9H+/D+nVraN68udHxREREREQKPZfuuQa5Q0PL+VmNjiFSpNUsBTVLpZFtS2V3lJkT0d4E2gLwMheNv3vHMhKNjlConIiK5PHH+7H4t9+MjiLXwfhxb7Bgwc+8+tpQbDYbAGazmTffHMf4cW9wy623GZxQRERERKRwc+meawAHzmQaHUGk2HAzm7ihvJ07m6RwY6MoskpGctJ+hkxbjtHRrsrRYlBcM5vNmDSEXs6jUqVKfDZliqOwBmCz2Zgy5XMqVapkXDARERERERfh+sU1LWogYggPq4mmVWzc2TSJOg0iSfE/zqmcBHLstksfXIgk5WQQn5P/xQzmzf2ON8aOYfTokezZvZPtf23l4YcfwsvLi8mT3uXA/r2sWb2KDh3aO4656aab+PWXnzl8KIJtWzcz9LVXsVgsjv1eXl68//5kwg/sY9vWzTz11JN5ruvu7s6I14ezZfMmIsL388vPC2jR4ibH/u7du7F3zy5uv+02li9bwpHDBylbtiw33HAD386exa6d29m3dzfz582lfr16juM2rF8LwBdfTOVEVKTjNcAdt9/Ob4sXcuhgOOvWrmbggP5OucU17dq1k+rVqufZXr1adfbs3WNAIhERERER1+Lyw0IPns0kK8eO1aIeGSJG8fU00apGDnCWMykJ7DjqTmaSH8Fm30K/4MiRAui11q3bA/zvk0+5+55O3HvvvUx4czx3duzIosWL+eDDD3niiSf48IP3adq0OQGBgcz8ejrffTeXl17qT7Vq1Zg48S0yMjJ4d9JkAF5/fTgtbrqJPo/3JTY2jtdeHUL9+vXYvWe345rj3hhLjRrVeebZ54iOjubOjh2ZNfNrbrn1Ng4fPgLkFumee+4ZBg0eQnx8PHGxsVSsWIHv5s5j+PARYDLx9FNP8vXX02nVui0pKSncedc97Nq5nf4DBrJs2XJycnJ7JTZr1oz335/M6yNGsmHDRipVrMjbb08AYNLk9676PZTrq3btWo4/T/viS8aMGUWlSpXYunUrADfeeCOPPdaL8W9OMCagiIiIiIgLMZUuU85udIirNal9KWqW9DA6hoj8R1QC7D3mjinNnyCLj9FxzuvnMxGsTz6R7+Pnzf0Oi8VCl673A7nDL/fv28PCRYt46aUBAISEhLD9r63c0+lebrvtNu6+607atuvgOEfv3r0YNvQ1ataqg5eXF7t37eCFF1/il19+BSAwMJAtmzcyc9YsRo4cTdkyZVi3bg1Nm91EdHS04zxzvv2GbX9tZ8KEt+jevRvvTZ7Erbfdzp49ey+Y32QysW/vbp57/gX+/HMJcP451+Z8+w2rVq/ho48+dmzr2rULw4cN48bGTfL9/okxjkcexW63X3KosN1up3yFStcn1HXm6+vLgf17qVGzNsnJyYZkKN91iSHXLWwiv7/F6AiG0/eCvg9ERKTwuZLnRZfvuQaw70yGimsihVDZQCgbmAnEcvB0LBEnPPHMCCDA4ml0NIfDGQlXfY69e/8pXtlsNuLj49m3d59jW0xMDADBQcFUr1aNLVu2Oh2/adMmfH19KVO6NAGBAXh4eLBt6zbH/oSEBA4ePOh4Xat2Ldzc3Fi9aoXTedzd3YmP/+d+MjIy8hTWgoODeWXIYFq0bEFwUBAWiwUvLy/Kli170XusU6cOTZo05aUXX3BsM5steHl54uXpSVp6/ofWyvXX/KaWRkcQERERESkyikRxbUt0Gp2r+RsdQ0QuomooVA1NB9LZHQWRp7zxyw7Ax+JuWKaUnEyis1Kv+jxZ2VlOr+12O1nZ2Xnamc0FM82lj48P2dnZdLzzLnJynOe4S0lJcfw5/TwFr/ffm0yJEiUYMWIkx49HkZmZyc8LfsRqvfjKr97ePrz77rssXLQ4z770DM196WqioqKMjiAiIiIiUmQUieLa9ph0UrNseFtdfn0GkWKhblmoWzaVrJwUdkRaOB3rTUlbAB7m6/tPUnh6/HW9HkB4RAR333Wn07amTZuSlJTEiZMniU9IIDMzk0Y3NiLqRO5w1YCAAKpUqcK69esB2LVrF25ubgQFBbNx48Yrun7Tpk14begwli5dBkCZMqUJCgpyapOZmYnZ4vzv6a5dO6latSpHjhy5ouuJawgLC6NZs6YEBwXlKQJP++JLg1KJiIiIiLiGIlFcy7bBttNptCpbOOd0EpHzs1pMNK5kg0rJpGYmsf2oG2fjfQg2BeBmuvbF8v1pZ675Nf5r+vQZPNGvL+PeGMuXX35F1apVGfTyQKZM+Ry73U5qaiqzv53D68OHER8fT2xsHK++MgSb7Z8eaocOHWb+/O/54P3JjB4zll27dhMUFETr1q3Yu3cvS5YsveD1Dx8+zAP338/27Tvw8/Pl9eHDSUtLc2oTefw4rVu3ZtOmzWRmZnL27FkmTX6fGdO/JCoqil9+XYjNZqNunTrUrFWTt9+eeM3eL7n2unfvxlsT3iQrK4v4+Hjs9n+mYrXb7SquiYiIiIhcQpEorgFsOKnimogr83Y30aJ6DpBIQupZdhyzknbWjxCz3zVZcTTHbudA2vXvuXbq1Cke7dmb14cP448/fiMhIYHZs7/lvfc/cLQZO/YNfHy8mf7VlyQnJ/PZZ1Pw8/NzOs+AgS/T/6UXGTnidUqVKsWZM/Fs3brVsSjBhbz88mDefvstflu8iBMnTzBhwluMeH24U5sxY8YycuQIHnn4IU6dOkXzm1qyYsUKevXuw8ABL/Hcc8+SlZVFRMRBvpk9u+DeHDHEkMGDmPze+3z44UdOhTUREREREbk8RWK1UAB/dzMz7y6H5Rr8J1xEjBOdaGfXMQ/sKX4EW3wL7LxH0s/y+entBXY+EVe1a9cO7r67E0ePHjU6ynWl1UILD60Sqe8F0PeBiIgUPlfyvFhkJilLzLSxL06TaosUNWH+Jm6pl8mtzeMIrHyU026nSMhJu/SBl7AvLa4A0om4vm9nf0une+42OoaIiIiIiMsqMsNCIXdoaN1gT6NjiMg1UikIKgVlAKfZexKOnvTCNysQ33ysOLo//frPtyZSGI1/cwIzpn9F+/bt2bdvX56VbkePHmNQMhERERER11DEimupPF6/hNExROQ6qF0aapdOI9uWyq7jZk6e9ibQFoCX2XrJY+Oz0zmdlXodUooUfi+88Dzt27fj4MGDQC3sOC9oICIiIiIiF1ekimvHk7OJSsqirN+l/3MtIkWDm9lEwwp2GlZIIT0rme3H3DhzxptgArCaLOc9ZldqzHVOKVJ4PfXkEwx8eRDffTfX6CgiIiIiIi6pSBXXADacSqOrimsixZKn1UTzqjlQNYnk9ES2HXUjNcGPYLO/02InO1VcE3HIzMxk06ZNRscQEREREXFZRWZBg79tOKmhXiICvp4m2tTM4Y7mCVSsfZR4rxPE5CQRm5VGVKYxKwOKFEZTp33B4336GB1DRERERMRlFbmea3tiM4hNyybYq8jdmojkU7CviQ51s4AzfLXjrNFxRAqVRg0b0qpVS2699RYOHDhAVpbzggb9nnjSoGQiIiIiIq6hyFWgbMAfR5N5qFag0VFEpBBac1K91kT+LTExkUWLFhsdQ0RERETEZRW54hrAb4eT6V4zwGmOJRGRvXHpnEjJvnRDkWJkwMCXjY4gIiIiIuLSitycawAxaTlsjU4zOoaIFDJLjqUYHUFERERERESKmCLZcw1g8eFkmpbyNjqGiBQSmTl2Vh3Xgici/7V+3RrsdvsF97do2fo6phERERERcT1Ftri28WSaFjYQEYeNp1JJzrIZHUOk0Pl86jSn11Y3K/Xq1aV9h/Z8+smnxoQSEREREXEhRbbyZAP+OJLMQ7UDjY4iIoXArweTjI4gUihNm/bFebc/1rs3N9zQ4DqnERERERFxPUVyzrW//XYkmZyLDHURkeIhPD6DHbEZRscQcSlLly3jrrvuvKJjnn/+ORb++gsH9u9lx/ZtfDFtKlWrVnFq4+Hhwfhxb7Br1w7CD+zj8ymfERwc7NSmbJkyzJjxFQcjDrBj+zZeHz4Mi8Xi1KZFi5v4bfFCDh+KYM3qVXTv3i1/NyoiIiIicpWKdHFNCxuICMAP4YlGRxBxOffcfRcJCQlXdEyLm27iq+nTuadTZx586GHcrG7M/mYWXl5ejjajRo3ktttu5amnnqbr/d0IKxXGtKlTHPvNZjMzZkzH3Wrl3s738VL/AXTv3o3Bgwc52pQvX56vZ0xnzdp13HZ7R6ZOnco7E9+mXbt2V33fIiIiIiJXqsgOC/3bIi1sIFKsnU7NZlWUFjIQuZDff1vktKCByWQiJCSEoKAgXhs67IrO9cijPZ1e9+8/kF07t9OgQQM2bNiAn58fDz3Yg+eef4E1a9YCMHDAy6xcuZwbb2zE1q3baNeuLTVqVKfHgw8RGxvL7t17eHviOwwb+hrvvjuJrKwsevV8lGPHIhkzZiwAERERNGvWjCef6MeKFSuu8h0REREREbkyRb64tulkGjGp2YR4F/lbFZHz+CkiEZtGh4tc0OLFvzm9ttntxMXFsW7tOiIOHryqc/v7+wM4esA1aFAfd3d3Vq1a7WgTcfAgx48fp3Hjxmzduo0mjRuzb98+YmNjHW2WL1/BWxPepGaNGuzavZvGjRuzavUqp2stX76C0aNHXjCLu7s77u7ujtc+Pj5XdW8iIiIiIn8r8hUnG7DocBK96pYwOoqIXGfJmTZ+O5JsdAyRQm3S5PeuyXlNJhOjR49k48aN7N+/H4DQkFAyMjJITHQeqh0TE0toSAgAISEhxMTEOu2PjYnJ3RcaArtzP/+3TUxsDP7+/nh6epKenp4nzwvPP8fLLw8ssPsTEREREflbkZ5z7W8LDiaRlJljdAwRuc4WH0kiLVvd1kSMMH78OGrVrMkzzz5ndBQAPvzoY2rUrO34aHRjE6MjiYiIiEgRUeR7rgGkZdv5ITxRvddEipEsm50FEUlGxxAptI5HHnWaa+187HY7FSpWvuJzj3tjLLfdegtduj7AyZOnHNtPx5zGw8MDf39/p95rISHBnD7XOy0mJoZGjRo6nS/4XK+2mNMxjs8hIc4rjIYEh5CYmHjeXmsAmZmZZGZmXvG9iIiIiIhcSrEorkFu77XO1fwJ8LAYHUVEroOVkSnEpavHqsiF9O37xAX3NW58I337Po7JZLri8457YywdO3bkgW7diIyMdNq3Y8dOMjMzad26FQsXLgKgatUqlCtXji1btgCwecsWXnzxBYKCgoiLiwOgbds2JCYmciA8HIAtW7Zw8803O527bds2bNmy9YrzioiIiIhcrWJTXPu799pj9dR7TaQ4+D488dKNRIqx337/Pc+2qlWrMPS117jttlv5/ocfmDjx3Ss65/jx4+hyX2f6PN6P5OQUQs71OEtKSiI9PZ2kpCRmfzuHUSNHkJCQQFJSMuPeGMPmzZvZunUbACtWrOTAgXA+/OB93hg3jpCQUF4ZMpivps9w9Dyb8fVM+vR5jOHDhvLtt3No1boVnTrdQ89ej13dmyIiIiIikg/FprgG8PPBJLpUV+81kaJua3QaRxKzjI4h4jLCwsIY9PJAunV7gBUrVnDb7R0dixBcicd69wLg+/lznbb3HzCQ777L3TZq1GjsNhufT5mCh4c7y5ev4LWhwxxtbTYbvXo/xoQ3x/Pzgp9ITU1l7tx5TJz4jqNNZGQkPXv1ZvSokfTt+zgnT55i0OAhrFixIj+3LyIiIiJyVYpVcS09x8734Yn0Ue81kSJt1t4EoyOIuAQ/Pz9efOF5Hn+8D7t376Z7j4fYuHFjvs9Xpmz5S7bJyMhg6LDhDB02/IJtoqKi6Nmr90XPs27dem6/484rzigiIiIiUtCKVXENzvVeq+ZPoKd6r4kURSuPp7DvjCYtF7mUZ595mmefe5aY06d59tnnzztMVERERERELq3YFdcycuzMD0+kb331XhMpajJz7Hy5K97oGCIuYejQ10hPT+fIkaN06/YA3bo9cN52/Z548jonExERERFxLcWuuAbw66Ekulb3p4R6r4kUKQsiEjmdqhVCRS7H3HnzwW43OoaIiIiIiMsrlsW1jBw78w+cpV+DkkZHEZECkpCew7f7zxodQ8RlDBgw0OgIIiIiIiJFgtnoAEb59VAyp1K0mqBIUTFrbwJp2eqFIyIiIiIiItdXsS2uZdrs/O+vM0bHEJECcDQxk8WHk42OISIiIiIiIsVQsS2uAWyJTmd1VIrRMUTkKn2xMx6b0SFERERERESkWCrWxTWAKdvjSc3Sf8tFXNWW6DQ2R6cbHUNERERERESKqWJfXItLz2HmngSjY4hIPuTY7EzbGW90DBERERERESnGin1xDeDng0lEJGQYHUNErtDiI8kcTdTCJCIiIiIiImIcFdcAG/DRtjPk2LXSoIiriE7J5std6rUmIiIiIiIixlJx7Zzw+EwWHdJqgyKuwGa3M3lLLGnZKoiLiIiIiIiIsVRc+5fpu+M5k55tdAwRuYSfDyaxM1ZDuUVERERERMR4Kq79S2q2nak7NMzsWgm77VEafbiasl1fPO/+qs+8Q6MPVxPQoM1FzxNwQ1uqPjuJ+hN+pdGHq/EqWy1Pm7Jdnqf+hIXUHTOfEk1uc9oX2LADVZ58K/83IoY6npTFV7sSjI4hIiIiIiIiAqi4lseK46lsOpVqdIwix7tCLYJa3UtaVMR594d06I79Mue8M7t7kXJoByd++uS8+/3rtaJEk9uI+HgAJ376hAoPvYrFJyD3WE8fSnd6ksi5k/J3I2KoHJudSZtjybRpOKiIiIiIiIgUDiquncekzXHEpml4aEExu3tRsfdIIme/TXZqUp79XmWrEdrhQY7NevOyzhe/6TdOLf6KpP2bz7vfM6wiyeHbSIvcT/yWP8lJT8EjqDQAZTs/S+zqH8iKj87/DYlh5oUnsj8+0+gYIiIiIiIiIg4qrp1HYqaNiZtiyVHvmAJRrvtAEnevPW8xzGT1oGLvkRyfO4nspDMFcr20qAi8K9TC4uWHV/mamK0eZMRE4VOlAV7laxCzfF6BXEeur0MJmXyzJ8HoGCIiIiIiIiJO3IwOUFjtis1g9r6zPFon0OgoLi3wxlvwLl+D/ROfOO/+cl1fJOXwLs7uXF1g10zat5Ezm36n5uDPsWVlcHTmOGyZaZTv8TJHZ44nuM19hLR9gOyUBCJnTyT91OECu7ZcG1k5diZtiUWLg4qIiIiIiEhho+LaRXy77yz1gj1oGOpldBSXZA0Mpdz9LxHx8QDs2XmH8vnXa4VvjRvZ/9bjBX7tU4u+4NSiLxyvS93Zh6T9m7HnZFPqjt7se7M3/nVbUrHncPZP7Fvg15eCNXtfAofPZhkdQ0RERERERCQPFdcuwg68symWD28pQwlPi9FxXI53hZpY/UtSa8g0xzaTxQ3fqjcQ0rYrsat/xCO4LA3eXuR0XOW+b5B8cAcRH7xQIDk8wipQosnt7H/rcYJa3E1yxHaykxNI2LaUio8OxezhhS0jrUCuJQVvT1w6c/cnGh1DRERERERE5LxUXLuE+Awb72yKZUzrUCwmk9FxXErS/s3sHd/TaVuFR4aSEX2U6D9nkZ18ltg1Pzntrz30a6K+/5Czu9YUWI7yPQYT9cNH2DLTwGzGZMn9tnd8NqtwWljFpmUzfn0MNqODiIiIiIiIiFyAimuX4a+Y3J4zD9YKMDqKS7FlpJF+0nk+M1tmOtkpiY7t51vEIDM+msy4k47XtYfP4sSCzzi7YyUAFm8/3EuEYQ0IBnJ7pgFkJZ7Jc76glp3ITk4g8VyxLuXQTkrf+TjeleriX6c5aScPk5OWXEB3LAUpI8fGG+tjiM9QaU1EREREREQKLxXXLtOsPQnUDfKgfoin0VGKHc+wili8fByvA+q3puKjwxyvK/cZA8DJhc7zrLn5lSDs9l4cmPS0Y1vq0b2cXvotVZ9+m+ykeI7OHHcd7kDy48OtZwiPzztXn4iIiIiIiEhhYipdppzW37tMQZ4WPrylNAEeGkYoci3NP3CWL3YlGB1DRIowX19fDuzfS42atUlONqYHc/muSwy5bmET+f0tRkcwnL4X9H0gIiKFz5U8L5qvU6YiIS49h7c2xpJtUz1S5FrZfCqNL1VYExEREREREReh4toV2h6Tzsfb8s4TJiJX73hSFm9vikHlaxEREREREXEVKq7lw+9Hk5mz/6zRMUSKlJQsG2PXnSYlS6U1ERERERERcR0qruXTjN0JrIhMMTqGSJGQY7fz9sYYjidnGx1FRERERERE5IqouHYVJm2JZXdsutExRFzejN0JbI7W3yURERERERFxPSquXYVsG4xZF8ORs5lGRxFxWT+GJzLvQKLRMURERERERETyRcW1q5ScZWPEmtNEp2g4m8iV+vVQEp/vjDc6hoiIiIiIiEi+qbhWAOLScxi+JpqE9Byjo4i4jN+PJPO/v7TyroiIiIiIiLg2FdcKyInkbEauPU1qls3oKCKF3rJjyXywNc7oGCIiIiIiIiJXTcW1AhSRkMnYdadJy1aBTeRCVh1PYdLmOOxGBxEREREREREpACquFbAdsRkMXx1NcqaGiIr817oTqby9KRaVn0VERERERKSoUHHtGth3JpPXVmkONpF/23QqjQkbYrCpy5qIiIiIiIgUISquXSOHzmYxZOUpYlK1iqjIX6fTGLf+NNkqrImIiIiIiEgRo+LaNRSVnM3gFaeISs4yOoqIYbafTmfMuhi01oeIiIiIiIgURSquXWMxaTm8suIUR85mGh1F5LpbeiyZEWuiychRlzUREREREREpmlRcuw7iM2y8sjKa/WcyjI4ict3M3pvAu5vjNBRUREREREREijQV166T5Cwbw1ZHsyMm3egoItdUls3O5M2xzNx71ugoIiIiIiIiItecimvXUVq2nZFrTrPhZKrRUUSuieRMGyPXnObPYylGRxERERERERG5LlRcu84ybXbGrothzn716pGiJToldwGP7eqdKSIiIiIiIsWIimsGsAMzdicwbv1pUrWEohQB4fEZvLz8JMeStDKuiIiIiIiIFC8qrhlo7Yk0Bi4/SaQKEuLCNpxM5ZWV0cRnqFAsIiIiIiIixY+KawaLTMpmwLKTrDuhedjE9fwQnsgb62LIyNGSoCIiIiIiIlI8qbhWCKRl23ljfQwzdieQY1eRQgq/sxk5jFp7mqk741F/NRERERERESnO3IwOIP+Ys/8sEQkZDGkajK+7xeg4Iuf11+k03t0cx5n0HKOjiIiIiIiIiBhOPdcKmS3R6by07BSHz2YaHUXESbbNzle74hm++rQKayJyQc2bN2f6V1+wdctmTkRF0vGOO/K0GTzoZbZt3czBiHDmfPsNlStXctofGBjIRx9+wP59e9i7ZxfvvjMRb29vpza1a9fih+/nc+hgOJs3beDZZ56+lrclIiIiInJBKq4VQqdSsnl5+Sl+PZSETcNEpRA4lZLFkBWnmHsgEX1HisjFeHt7sXvPXoYOG37e/c89+wyPP96HV18dyj2dOpGamsY3s2bi4eHhaPPRhx9Qs2YNHnzoYXr37kPzm5oz8e23HPt9fX2Z/c0sjh8/Tsc772bs2HG8/PJAHnnk4Wt+fyIiIiIi/6VhoYVURo6d//11htVRqbx0Y0lK+ViNjiTF1PLIFD7aFkdatspqInJpy5YtZ9my5Rfc369fX95//0N++/13AF58qT/b/9pKxzvu4KcFC6hWrRo339yBjnfezY4dOwAYPnwEM7+ezpixbxAdHU3Xrl2wWt0Z+PIgsrKyOHDgAHXr1uGpJ59g1qxvrsdtioiIiMj/27vv6CjKxY3jz6aRsBFIo4QAoaiBUCId5VJUiqgU6SpYwYr0ItIRlBKa+lNAQUGkd6Wo9CIQupRAAomEhJIESCOk7u8PvLl3L9YIO5vs93NOjtl3ZmefXedAePLOO8jDzDU7dzz+lt788ZLWRSYziw02dTMrV9MPJmhKWALFGoC7onz58ipVqpR27d6VN5aSkqIjR46qTp3akqS6deroxo0becWaJO3atUu5ubl66KGHJEl16tTW/v37lZWVlbfP9h07VKVKFRUvXvw3X9vNzU2enp55X2az+V68RQAAADggZq4VABk5Fs0+fv32LLY6PirrySw23FtnrmVo6sEExaVmGx0FQCFSsqSfJCk+PsFqPD4hXiVLlpQk+ZX0U2JiotX2nJwc3bhxI+/5Jf1K6kLMBetj/HpMPz8/JSUl3fHafd5+SwMHDrg7bwQAAAD4L5RrBcjJxAy9/eMl9QwuobZV7pOzyWR0JBQyaVm5WnDyhr47n8LaagAKlY8+/kSz58zNe2w2m3Xk8EEDEwEAAKCwoFwrYDJzLfr85+vaHZumfrV9Va4Ys9hwd+y6mKY5x69zJ1AA98zVq/GSJD8/X129ejVv3M/XTydPnpQkxV+Nl4+Pj9XznJ2dVaJEibznX42/Kj9fP6t9/Px8bz8/Pv43XzszM1OZmdyJGwAAAHcfa64VUOHXMtVna5yWn0lSTi5zjJB/l9OyNGrPFX14IIFiDcA9deHCBV25ckWNGzfOG/P09NRDD4Xo0KHDkqSDhw6pRIkSqlGjRt4+jR95RE5OTjpy5Igk6dChw2rQoIFcXP7zO8ImTZooMjLyNy8JBQAAAO4lyrUCLCtX+vLkDb21JU774m4aHQcFzK3s25eAvv5DnA5duWV0HACFRNGiRRUcXE3BwdUkSeXKl1NwcDWV9feXJH3++Rfq+04ftWzRQkFBQZo1c4auXLmiTZs3S5IiIyO1des2TZ0ySSEhIapXt67enzBea9eu05UrVyRJq1evUVZWpkJDp+iBBx5Q27ZP69VXXra67BMAAACwFS4LLQRiUrI1fl+8qvkU0cvVvVTVp4jRkWDntl1I0/yT15WYzkw1AHdXrVo1tXLF8rzHY8eMliQtXbZc/fsP0Cf/96mKFi2qyZM/VLFixRQWFqbnnu+hjIyMvOe83ecdTXh/vJYtXazc3Fxt2LBRI0aOytuekpKi7s8+p4kTJmjTxu907fp1TZ8+Q4sWfWO7NwoAAAD8ylTGP4BrCguZh/099EKwlwLuYz02WIu8nqHPjl3X6WsZf74zABRinp6eOnvmtB54sKpSU1MNyVDumS2GvK69iVn1mNERDMe5wHkAALA/f+fnRWauFUJ749K171K6WgV66tmqxeXtzv9mR3fuRqaWhN/Q3rh0o6MAAAAAAFCo0LoUUrkWaWNUqrZeSNMz9xfTM/cXU1FXlthzNGeuZWhxeJLCLlOqAQAAAABwL1CuFXIZORYtDk/ShqgUdQ8qrhYVPOXuQslW2J1IuKXF4Uk6epUbFQAAAAAAcC9RrjmIpIxcfXbsuhadTtITFT31ZKX75OvB//7C5ujVdC0OT9KJBNZUAwAAAADAFmhXHExKZq6WnUnWyrPJaly2qNpVKaYHvbm7aEEXdvmmFp9O0pnrmUZHAQAAAADAoVCuOagci7Tj4k3tuHhTQd5ualelmB72LyoXJ5PR0fAX3czK1c6LadoQlapzNyjVAAAAAAAwAuUaFH4tU+EHEuTr4aynKt2nVoGeKlbE2ehY+B0nEm7p++hU7Y69qYwci9FxAAAAAABwaJRryJOQnqMvT97Q4vAkNS9v1mPlzQryLiInE7PZjJaQnq2tF9L0Q3Sq4tKyjY4DAAAAAAB+RbmGO2TkWLQpKlWbolLl6+GsxmWLqkmAmbXZbCwr16KwS+n6/pdUHbqcrlyjAwEAAAAAgDtQruEPJaTnaE1kitZEpqhkUWc1LmtWk4Ciut+Lou1eyLVYFHE9U7supmlrTJqSMqjUAAAAAACwZ5Rr+Muu3szRqohkrYpIVmmzi/5Vtqj+FWBW5RJuRkcr0FIyc3T4yi0dvJKuQ1fSKdQAAAAAAChAKNeQL5fTsrX8bLKWn02Wv6eLGpUpqhp+RVTV212ebk5Gx7N7525k6uDldIVdTteZaxlc8gkAAAAAQAFFuYZ/LC41WysjkrUyQjJJqljcVTV83VXd113BvkVUnDuPKi0rV0eupuvg5XQdvHJL12/lGB0JAAAAAADcBZRruKssks4nZel8UpbWnkuRJJW/z1XVfYvklW2+HoX7tLuZlavzSZk6d+P2V+SNTMUkZzE7DQAAAACAQqhwtxywCxdSsnQhJUsbolIlSWXMLnrAy00VirmpfDFXlS/mqtJmFzmbTAYn/ftSM28XaZE3MhV5PUPnbmQqNjVbFqODAQAAAAAAm6Bcg81dSsvWpbRsSTfzxtycTAq4z0Xl7nNVabOryni6qIz59pePgTPdsnMtunYrR4np2UpMz1FCeo4S0rN19WaOzidl/vo+AAAAAACAo6Jcg13IzLXkXU76v4o4m+Tr4SxPVyd5ujnJ09VJ5l+/N7s6WY3/e5u7i5NyLBZl594uyLJzLcr+38e5Uo7FoqxcizJzbpdoCem3i7SEX4u067dymIUGAAAAAAB+F+Ua7F5GjkWxqcwQAwAAAAAA9sfJ6AAAAAAAAABAQUW5BgAAAAAAAOQT5RoAAAAAAACQT5RrAAAAAAAAQD5RruFPxcXGqHWrVkbHAAAAAAAAsDuUa8gzcEB//fD9pjvGa4XU1tZt2wxIBAAAAAAAYN9cjA4A+xcfH290BAAAAAAAALvEzLUCxs3NTePHjdXxY0d0/lyE1qxeqVq1akmSGjVqqLjYGDVu/Ig2bvhO5yLPat3a1apcudKfHrdLl84aOHCAgoODFRcbo7jYGHXp0lmS9WWhAQEBiouN0dNPP6XVq1bqXGSENnz3rSpVqqhatWpp44bvFHE2XF8vXCBvb2+r13i2ezft2L5V589FaOeObXrhhZ53+dMBAAAAAACwLcq1AmbEe8PVpk0b9e3XX61at1FU9C/6ZtHXKlGiRN4+Q4cO0dhx49X6iSeVnZ2jaaFT//S469at12efzVZ4+BnVCqmtWiG1tW7d+t/df9DAAZoxc5ZatX5C2TnZ+uTjjzVixHCNGjVaHTp0VGDFQA0ePChv/w4d2mvQoEH6cNJkNW32qD74cJIGDx6kzp07/aPPAwAAAAAAwEhcFlqAeHh4qGfPHurff6C2bdsuSRo8eIia7PtJ3bt11dFjxyRJkyZN1r59+yRJH3/yib5euEBFihRRRkbG7x771q1bSktLU05O9l+6DPSzz2Zrx44dkqQvPp+nTz/9RJ27dFXYwYOSpCWLl+TNfJOkQQMHaty48dq48faabjExMXrggQfU4/nntHz5ir//YQAAAAAAANgByrUCJDCwgtzc3HQgLCxvLDs7W0ePHtX999+fV66dOnU6b/vVK1clSb4+PoqNi7trWU6dDs/7Pj7hdhl3+r/H4hPk4+Mr6XYpWLFioEJDp2jKlEl5+zg7OyslJeWuZQIAAAAAALA1yrVCKDs7O+97iyySJJPT3b0CODs76z+vYbH85us6OZkkSWazWZI0aPAQHTly1Oo4OTk5dzUXAAAAAACALVGuFSDR0b8oIyND9evV0+rYWEmSi4uLaoXU0udzv/jHx8/MypKTk/M/Ps7/SkhI0KVLl1WhQgWtXr3mrh8fAAAAKOjKPbPF6Ah2IWbVY0ZHAIC/jXKtAElPT9eChQs1YsR7un7jhmJjY/Xmm2/Iw91Di5csUbVqVf/R8S/GXFT58uUUHFxNl+IuKTUtTZmZmXcle2hoqMaPH6eU5GRt275dbm5FVKtmTRUvUVxz5sy9K68BAAAAAABga5RrBczEiR/KyeSkj2bNkNls1vHjx/Xsc88rKSnpHx/7uw0b9ESb1lq+bKlKlCihfv0HaNmy5XchtfTN4iVKT7+lN954TSNGvKebN9MVHh6uuZ//8xl3AAAAAAAARjGV8Q+wGB0CAADAljw9PXX2zGk98GBVpaamGpKBS8Bu4xIwzgWJ80DiPPg3zgUA9uLv/Lx4d1e5BwAAAAAAABwIl4U6kG1bf1RAQMBvbhsydBg3GwAAAAAAAPibKNccyPM9XpCrq+tvbouPj7dxGgAAAAAAgIKPcs2BxMbGGh0BAAAAAACgUGHNNQAAAAAAACCfmLkGAAAAAICd4M6x3DUWBQ8z1wAAAAAAAIB8olwDAAAAAAAA8olyDQAAAAAAAMgnyjUAAAAAAAAgnyjXAAAAAAAAgHyiXAMAAAAAAADyiXINAAAAAAAAyCfKNQAAUCC9+MIL2r9vr86fi9C369cpJCTE6EgAAABwQJRrAACgwGnb9mmNHj1S06bNUKvWbXTq1Cl9s2ihfHx8jI4GAAAAB0O5BgAACpzevXrpm28Wa+myZYqIiNDQYe8qPf2WunfranQ0AAAAOBjKNQAAUKC4urqqZs0a2rVrd96YxWLRrt27VKdOHQOTAQAAwBG5GB0AAADg7/D29paLi4viE+KtxhPiE1SlcpXffI6bm5vc3NzyHpvNZqv/GsHszu84JcnT09PoCIbjXOA8kDgP/o1zgXNB4jyQpIC2642OYBcurnvasNf+Oz8nUq4BAIBCr8/bb2ngwAF3jB85fNCANLAy5bTRCWAPOA/wb5wLkDgP8B92cC6YzWalpqb+4T6UawAAoEC5du2asrOz5efrZzXu6+er+Pj433zORx9/otlz5lqNeXl56fr16/csp70zm806cvigHqpdV2lpaUbHgYE4FyBxHuA2zgP8G+fCbWazWVeuXPnT/SjXAABAgZKVlaXjx39W48aPaNPmzZIkk8mkxo0b68v5X/7mczIzM5WZmWk19me/gXQUaWlpfBaQxLmA2zgPIHEe4D8c/Vz4q++dcg0AABQ4c+bO1Yzp03Ts+HEdOXJUvXq9oqIeHlqydJnR0QAAAOBgKNcAAECBs27devl4e2vwoIHy8/PTyZOn9NzzPZSQkGB0NAAAADgYyjUAAFAgzf/yK83/8iujYxRYmZmZCg2ddsflsnA8nAuQOA9wG+cB/o1z4e8xlfEPsBgdAgAAAAAAACiInIwOAAAAAAAAABRUlGsAAAAAAABAPlGuAQAAAAAAAPlEuQYAAAAAAADkE+UaAAAAAAAAkE+UawAAAA5iWuhUmc3mO8Y9PDw0LXSqAYlglI4dn9HaNat0+NBBlS1bVpL06quvqFXLlgYng1GKFClidAQYpGuXLvJwdzc6BuxEhQoVNGTIYP3fJx/Lx8dHktS8eTM98MADhuayd5RrAAAADqJz505y/41/QHm4u6tTp44GJIIRevbsoTGjR2nL1m0qXryYnJ2dJUnJycl6tdcrBqeDLZlMJvXr11eHDoYp4my4ypcvL0kaPHiQunfranA62Mrw4cN09OhhhU6dorp16xgdBwZq2LChtm75QbUfCtETT7TO+4VccLVqGjRogMHp7BvlGgAAQCHn6emp++67TyaTSZ6enlZfxYsX16OPPaqEhESjY8JGXn7pRQ0ePFSzZn2knJycvPFjx46ralCQgclga/36vqMunTvr/QkTlJWVlTd+5swZdX+2u4HJYEu169RT334D5O3trRXLl2nnjm1668035OfnZ3Q02Njw4cM0afIUdev+nNWfCbv37FXt2rUNTGb/XIwOAAAAgHsr/PRJWSwWWSwW7d61447tFotFU0OnGZAMRihXrrx+PnHijvHMzAx5eBQ1IBGM0qlTJw0ZOlS7d+/RpA8/yBs/dfKUqlSubGAy2FJOTo42bdqkTZs2ydfXVx07PqPOnTpp8OBB2r59hxYvXqLvf/hBFovF6Ki4x6oGBemtt/rcMZ6QkCBvLy8DEhUclGsAAACFXKfOXWUyScuXLdWrvV7TjRs38rZlZWXq4sVYXblyxbiAsKmYmAuqHhys2NhYq/HmzZopMjLCoFQwQunSpRUVFX3HuMnJSa6urrYPBMMlJCTowIEDqlSpoipVqqigoAc1Y8Y0JSUlqf+Agfrpp31GR8Q9lJScrFKlSiomJsZqvHr16rp8mZ8T/gjlGgAAQCG3b9/tfww1aPiw4uLimH3g4ObMmasJE99XEfciMplMeigkRO3bt1Oft9/SoEFDjI4HG4qIOKsGDepr1arVVuNPPdlGJ06cNCgVjODr66tOHTuqa9fOKl++gjZv3qwXXnxJu3btloeHhwb076eZM6arfoNGRkfFPbRu7Tq9N3y4er/2uiwWi5ycnFSvbl2NGjlCK1asMDqeXTOV8Q/gpysAAAAHUaxYMT0UEiIfXx85OVkvv7tixUqDUsHWOnRor4EDByiwQgVJ0uUrVxQ6NVSLlyw1OBlsqVXLlpoxY5o+/vgT9e/fT1OnTlPlypXUqVNHvfDCS9q5a5fREWEDX305T02bNtX581H6ZvFirVix0mqGsyT5+Pjo2NHDCihXwZiQsAlXV1dNnPC+unTpLGdnZ2VnZ8vZ2Vmr16xRv34DlJuba3REu0W5BgAA4CBatHhcH380S2azWSkpKVYz2CwWKbh6DQPTwQge7u4qajYrMZEbWjiq+vXra0D/vqpWrZrMZrN+/vlnTZ8+Uzt27jQ6GmwkdOoUfbN4sQ4dOvyH+5UtW/aOy8lRuJT191fitWvy9vZSUFCQzGazTpw48ZuXj8Ma5RoAAICD2LVrh7Zu3aoPP5ik9Fu3jI4DAADshMlkUtT5SDV/9DHKtHxgzTUAAAAHUaZ0aX3xxXyKNQfn5VVCgwcN0sMPN5Kvr69MJuvLg5nB6Dh+2rtbbZ58Stev37AaL1asmDZv2qBGDzc2JhjuuVdefukv7/vFvPn3MAnshcViUVRUlLy8vCjX8oFyDQAAwEFs375DtWrV1IULF4yOAgPNmjlTgRUDtWTxEsUnJHCDCwdWrlw5OTk53zHu5uam0qVLG5AIttKr16t/aT+LxUK55kAmfvChRo4YoWHvDteZM2eMjlOgUK4BAAAUYi1btMj7fsuWLRo54j09cP/9Oh0eruysbKt9v//hB1vHgwEaNKiv9h2e0alTp42OAoP8958LzZo1VUpySt5jJ2dn/avxI7p48aIR0WAjDRs9YnQE2KGZM6bLw8NDP/6wWZmZWbr1PzPdmdn8+1hzDQAAoBC7GPPLX9rPYrGoXPnAexsGdmHDd99qxMiROnz4iNFRYJB//7lgsVhkMpmstmVlZenixYsaO268fvxxixHxYEMuLi7auWO7er7woiIjI42OA4N17tzpD7cvX77CRkkKHso1AAAAwIHUqlVLw4cP0/TpM3XmTLiy/mcGY2pqqkHJYGv7ftqjNm2e0rXr142OAgMdOhimrt26U64B/wDlGgAAAOBAKlYM1Ccff6waNapbjZtMJmYwAg6oT5+3ValSJQ0aNFg5OTlGx4HBKlSooK5duyiwQgWNHDVaiYmJat68mWJj43T27Fmj49kt1lwDAABwEL93dziLxaJbGRmKjo7Wvn37lZuba+NksKWPP/pI2dlZeuvtPoqPjxf3M3BsHh4eatSoocqWLSs3V1erbSxk7xhCatVS48aPqGmTJgoPD9fNmzettr/aq7dByWBrDRs21KKvFygsLEwNGjTQh5MmKzExUcHVqql7927q3ft1oyPaLco1AAAAB9Gr16vy8fGRh4eHbiQlSZJKFC+u9PR0paWlydfXV7/8ckGdu3RRXNwlg9PiXgkKelAtW7XWuXPnjY4Cg1UPDtbChV/Jw8NDRYsW1Y0bN+Tt7a309HQlJCRQrjmI5ORkbdiw0egYsAPDhw/TpMlTNGfOXJ0985+b3uzes1cvvvSiccEKAMo1AAAAB/Hhh5P13PPPatCgIfrll9sLmgcGBmrSpA+0aNE3CgsL06f/94nGjBnNb6cLsWPHjsvf359yDRozZrR++OFHDR32rs6En9JTT7dTdnaWPpo1S59/8YXR8WAj/QcMNDoC7ETVoCC99VafO8YTEhLk7eVlQKKCw8noAAAAALCNIUMGa8yYsXnFmiRFR0dr/Lj39e6wobp06bLenzBR9erWNTAl7rV58+dr3Ngx6tKls2rUqKGqVYOsvuA4goOrafacObJYLMrJyZGbm5vi4i7p/QkT9O6woUbHA2BjScnJKlWq5B3j1atX1+XLVwxIVHAwcw0AAMBBlCpVUs7Od/745+ziopIlb/8wffnyFXl6eto6Gmzos0//T5I0LXRq3pjFYuGGBg4oOzs7b43FhMRElS1bVpGRkUpJTpG/v7/B6WBLTz7ZRk8//dRvrr3XqnUbg1LB1tatXaf3hg9X79del8VikZOTk+rVratRI0doxYoVRseza5RrAAAADmLP3r2aPOkDDRo0RCdOnpR0e82lDz+YqN179kiSqlYN0oULMUbGxD3WoOHDRkeAnThx4qRCaoUoKipa+37ap8GDBsrb20udOnZUePgZo+PBRl55+SUNHTpEy5YtV6uWLbV02TIFVqigWrVq6cuvFhgdDzb0wYeTNHHC+zoYtl/Ozs7avm2LnJ2dtXrNGs2YOcvoeHbNVMY/gPsDAQAAOAA/Pz99NGuGGjdurKysLEmSi4uLdu/eoz7v9FVCQoIefriRXF1ctWPnToPTArjXatasKU9Ps/bu/Uk+Pj6aNXOG6tato6ioKA0YOEinTp3+84OgwNu5Y5umTZuhNWvX6uyZ03q8RStduHBBgwcNVIkSJfTeiJFGR4SNlfX314NBD8psNuvEiROKioo2OpLdo1wDAABwMFUqV1alSpUkSefOn2NhewfQskULbd22TdnZ2WrZosUf7vv9Dz/YKBWMVtbfXwmJicrIyDA6Cgx0LvKsmjRtrtjYWB0/dkTduj+rU6dOq2LFQK1fv07Vq9c0OiJspH69ejoQFmZ0jAKJy0IBAAAcTOS5c4o8d87oGLChefM+V62Q2kpMTNS8eZ//7n6sueY4TCaT9uzZpeaPPsasFAd39epVeZUoodjYWMXGxql27do6deq0ypcrL5NMRseDDS1btkSXL1/WmrXrtHLlKkVERBgdqcCgXAMAACjERo8epcmTpyg9PV2jR4/6w33Hjh1no1SwtYByFX7zezgui8WiqKgoeXl5Ua45uD179qplyxY6cfKkli5dprFjRuupJ9uoZs2a2rhxk9HxYEO1a9dVu3Zt1b59O7391ps6ffq0Vq1arTVr1+rSpctGx7NrXBYKAABQiC1fvlSvvNJLycnJWr586e/uZ7FY1KVLNxsmg1E6deqodevWKzMz02rc1dVV7dq11YoVKw1KBltr0eJxvfnGGxr27nCdOcMNDByVyWSSk5OTcnJyJElt2z6tenXrKioqSgu/XpS3RiccS7ly5dShQ3u1b9dOVapU1r79+/k54Q9QrgEAAAAOJOZCtEIeqqPExESrcS+vEjp+7CiXhTqQUyd/loeHh1xcXJSZmaVbt25ZbQ+uXsOgZLC1+vXrq8fzz6lChfLq/dobunz5sjp16qgLv1xgDS4H5uTkpEcfba4hgwepatWq/P3wB7gsFAAAAHAgJpNJFsudv18vU6aMkpNTDEgEo4weM9boCLADbdo8oY9mzdSqVatVvXp1ubm5SZLu8/RUnz5vq0fPFwxOCFurV7euOjzTQU892UZFihTR5u+/18QPJhkdy65RrgEAABRin8+d85f3fbVX73uYBEb7fvNGWSwWWSwWLVu6RDk52XnbnJydVb5cOW3bvt24gLC55ctXGB0BdqBf33c0dNi7WrFipdq1a5s3HhZ2UH37vmNgMtjau8OGql27tipVqpR27tqlUaPGaPPmzUr/n1mtuBPlGgAAQCGWksJMJNy2adNmSVJwcLB27NihtLS0vG2ZWVm6GHNR323YYFQ8GKRChQrq2rWLAitU0MhRo5WYmKjmzZspNjZOZ8+eNToebKBy5crat2//HePJKSkqVqyYAYlglIYNG+jTz2Zr/br1unb9utFxChTKNQAAgEKs/4CBed+7u7vLZDIpPT1dkhQQEKDWrVspIiJSO3bsMCoibGTa9BmSpJiLF7Vu3XplZGT84f7t27XT5u+/zztfUPg0bNhQi75eoLCwMDVo0EAfTpqsxMREBVerpu7du6l379eNjggbuHr1qipWDNTFixetxuvXr6cLFy4YlApGaNf+GaMjFFhORgcAAACAbcyf94U6deooSSpWrJi+Xb9Wr7/WW/O++Fw9e/YwOB1sZfnyFX9arEnSpEkfyM/PzwaJYJThw4dp0uQp6tb9Oas7Qu7es1e1a9c2MBlsadE3izVu7Bg99FCILBaLSpcqpQ4d2mvUyBFasGCh0fFgYx07PqO1a1bp8KGDKlu2rCTp1VdfUauWLQ1OZt8o1wAAABxEjRrVtX//AUnSU0+2UXxCgurVb6i+/frplZdfMjgd7I3JZDI6Au6xqkFB2rhx0x3jCQkJ8vbyMiARjPDxx59o9Zq1WrZ0icxms1atWqGpU6Zo4deLNG/+l0bHgw317NlDY0aP0pat21S8eDE5OztLkpKTk/Vqr1cMTmffKNcAAAAchIeHh9JSUyVJTZo20cYNtxe4P3z4sAICAgxOB8DWkpKTVapUyTvGq1evrsuXrxiQCEaZNesjVQuuoeaPPq6nnm6nGjVracqUqUbHgo29/NKLGjx4qGbN+kg5OTl548eOHVfVoCADk9k/yjUAAAAHERUVrdatW8nfv4yaNW2qHTt3SpJ8fHy58QHggNatXaf3hg+Xn5+fLBaLnJycVK9uXY0aOUIrVnAnUUeTlZWliIgIHT16VDdv3jQ6DgxQrlx5/XzixB3jmZkZ8vAoakCigoNyDQAAwEFMnzFDI0eO0P59P+nIkaM6dOiwJKlp0yY6ceKkwekA2NoHH05SZGSkDobtl9ls1vZtW7Rq1QodPHRQM2bOMjoeABuLibmg6sHBd4w3b9ZMkZERBiQqOLhbKAAAgIP47rsNOnAgTKVKltTJU6fyxnfv3qNNv7HuEoDCLSsrS4OHDNWMGTP1YNCDMpvNOnHihKKioo2OBsAAc+bM1YSJ76uIexGZTCY9FBKi9u3bqc/bb2nQoCFGx7NrpjL+ARajQwAAAACwL1u3/Kjne/RQXNwlo6MAAGykQ4f2GjhwgAIrVJAkXb58WaGh07R4yVKDk9k3yjUAAADAAbm6usrX10dOJuuVYmLj4gxKBFsYPXrUX9537Nhx9zAJAHvj7u4uk6T0W7fk4e6uB4OCVK9eXZ09G6EdO3YYHc+ucVkoAAAA4EAqVgzUtNBQ1a1bx2rcZDLJYrGoXPlAY4LBJqpXt15PqUb16nJxcdG5c+ckSZUqVVJOTo6O//yzEfEAGGj+vC+0YeNGLVz4tVzd3PTl/C+UnZ0tLy9vjR03TgsWLDQ6ot2iXAMAAAAcyIzp05SdnaOeL7yoq1evymLhQhZH0rlz17zve/fupbTUNPXt119JSUmSpOLFi2v6tFDtP3DAqIgADFKjRnWNHjNWkvTUk20Un5Cgli1b68kn22jwoIGUa3+Acg0AAABwIMHBwWrduo0if52pBMf1Wu/e6v7sc3nFmiQlJSVp0uQpWvzNIs2ePcfAdABszcPDQ2mpqZKkJk2baOOGjbJYLDp8+LACAgIMTmffnP58FwAAAACFxdmzEfL29jY6BuzAffd5ysfnznPBx8dbnp5mAxIBMFJUVLRat24lf/8yata0qXbs3ClJ8vHxVUpKisHp7BvlGgAAAOBAJkycqBEjhqtRo4by8iohT09Pqy84jo2bNmn6tFA98URrlSlTWmXKlFabNk8odOoUbdi40eh4AGxs+owZGjlyhPbv+0lHjhzVoUOHJUlNmzbRiRMnDU5n37hbKAAAAOBALsb8kvf9f6+3xg0NHI+Hu7tGjhqpbl27yNXVVZKUnZ2txUuWavz495Wenm5wQgC25ufnp1IlS+rkqVN5f0eEhIQoNSWF5QT+AOUaAAAA4EAaNmz4h9v37dtnoySwFx4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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 66 }, { "metadata": {}, @@ -1680,12 +3036,28 @@ "id": "82568c9463535dd0" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.319838144Z", + "start_time": "2026-05-24T00:17:47.121308527Z" + } + }, "cell_type": "code", "source": "eplots.plot_correlation_matrix(df)", "id": "16feaf4b7255ddbb", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 67 }, { "metadata": {}, @@ -1694,12 +3066,28 @@ "id": "42cf543f09afa0b" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.424412859Z", + "start_time": "2026-05-24T00:17:47.322009810Z" + } + }, "cell_type": "code", "source": "eplots.plot_cancellation_by_service(df)", "id": "23732c273635195", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 68 }, { "metadata": {}, @@ -1751,7 +3139,12 @@ "id": "44a8ff0a65bedf70" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.529219697Z", + "start_time": "2026-05-24T00:17:47.427028225Z" + } + }, "cell_type": "code", "source": [ "eplots.plot_delays_by_year(df)\n", @@ -1763,8 +3156,34 @@ " print(f\" {int(yr)}: {val:.2f} min{marker}\")" ], "id": "a2e6e86ba7be501b", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average arrival delay by year (ranked):\n", + " 2025: 7.27 min ← worst\n", + " 2018: 7.07 min\n", + " 2023: 6.79 min\n", + " 2022: 6.42 min\n", + " 2024: 6.27 min\n", + " 2019: 5.38 min\n", + " 2020: 4.63 min\n", + " 2021: 4.62 min ← best\n" + ] + } + ], + "execution_count": 69 }, { "metadata": {}, @@ -1784,12 +3203,28 @@ "id": "12168260b2283bb6" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.627514519Z", + "start_time": "2026-05-24T00:17:47.531334417Z" + } + }, "cell_type": "code", "source": "eplots.plot_top_delay_periods(df)", "id": "f8c1cd141b093b8a", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 70 }, { "metadata": {}, @@ -1810,7 +3245,12 @@ "id": "79c28aa8ee138ef3" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.842356562Z", + "start_time": "2026-05-24T00:17:47.630947371Z" + } + }, "cell_type": "code", "source": [ "eplots.plot_delay_heatmap_year_month(df)\n", @@ -1831,8 +3271,34 @@ " print(f\" {int(yr)}: {month_names[worst_m]} ({worst_v:.2f} min)\")" ], "id": "879d62936b3650e3", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Worst month per year:\n", + " 2018: Jul (11.07 min)\n", + " 2019: Jun (7.68 min)\n", + " 2020: Nov (6.21 min)\n", + " 2021: Nov (7.03 min)\n", + " 2022: Jul (11.63 min)\n", + " 2023: Jun (8.82 min)\n", + " 2024: Jul (9.95 min)\n", + " 2025: Jul (9.53 min)\n" + ] + } + ], + "execution_count": 71 }, { "metadata": {}, @@ -1857,7 +3323,12 @@ "id": "132af4b1145911c0" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:47.954207996Z", + "start_time": "2026-05-24T00:17:47.843473323Z" + } + }, "cell_type": "code", "source": [ "eplots.plot_top_delay_routes(df)\n", @@ -1876,8 +3347,36 @@ " print(f\" {route}: {val:.2f} min\")" ], "id": "17cfbe65b5dec52c", - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top 10 routes by average arrival delay:\n", + " ITALIE → PARIS LYON: 14.14 min\n", + " MARSEILLE SAINT CHARLES → TOURCOING: 11.00 min\n", + " MARSEILLE SAINT CHARLES → LILLE: 10.92 min\n", + " LYON PART DIEU → LILLE: 10.79 min\n", + " BARCELONA → PARIS LYON: 10.51 min\n", + " MADRID → MARSEILLE SAINT CHARLES: 10.16 min\n", + " CHAMBERY CHALLES LES EAUX → PARIS LYON: 10.09 min\n", + " PARIS EST → STUTTGART: 9.95 min\n", + " TOULOUSE MATABIAU → PARIS MONTPARNASSE: 9.93 min\n", + " LILLE → MARSEILLE SAINT CHARLES: 9.86 min\n" + ] + } + ], + "execution_count": 72 }, { "metadata": {}, @@ -1894,7 +3393,12 @@ "id": "c7712d0d784b853f" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-24T00:17:48.018295524Z", + "start_time": "2026-05-24T00:17:47.955748050Z" + } + }, "cell_type": "code", "source": [ "season_order = [\"winter\", \"spring\", \"summer\", \"autumn\"]\n", @@ -1914,8 +3418,25 @@ "print(f\"Lowest average delay : {best_season} ({season_stats.loc[best_season, 'Mean (min)']:.2f} min)\")" ], "id": "e04325646dad4df8", - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Delay statistics by season:\n", + " Mean (min) Median (min) Std dev Observations\n", + "season \n", + "winter 5.63 5.16 5.81 2810\n", + "spring 5.14 4.41 4.07 2786\n", + "summer 7.21 6.09 4.85 2829\n", + "autumn 6.30 5.75 6.57 2818\n", + "\n", + "Highest average delay : summer (7.21 min)\n", + "Lowest average delay : spring (5.14 min)\n" + ] + } + ], + "execution_count": 73 }, { "metadata": {}, From 91fb89fb9fd4a43c46d88cdeeb3c46d7fd08f59a Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Sun, 24 May 2026 04:55:17 +0200 Subject: [PATCH 11/34] feat: implement loading and merging functions for meteorological data --- scripts/__init__.py | 35 +- scripts/cleaning/__init__.py | 22 ++ scripts/cleaning/meteo/__init__.py | 13 + .../meteo/audit}/__init__.py | 0 scripts/cleaning/meteo/cleaning/__init__.py | 0 scripts/cleaning/meteo/loading.py | 19 + scripts/cleaning/meteo/merging/__init__.py | 0 scripts/cleaning/meteo/pipeline.py | 21 ++ .../cleaning/meteo/visualization/__init__.py | 0 scripts/{ => cleaning}/trains/__init__.py | 5 +- .../{ => cleaning}/trains/audit/__init__.py | 4 +- .../{ => cleaning}/trains/audit/quality.py | 2 +- .../{ => cleaning}/trains/audit/tracker.py | 0 .../trains/cleaning/__init__.py | 14 +- .../trains/cleaning/corrections.py | 0 .../trains/cleaning/nan_recovery.py | 0 .../trains/cleaning/normalization.py | 0 .../trains/cleaning/preprocessing.py | 0 .../trains/cleaning/station_clustering.py | 0 .../trains/cleaning/type_conversion.py | 0 scripts/{ => cleaning}/trains/features.py | 0 scripts/{ => cleaning}/trains/loading.py | 0 scripts/cleaning/trains/merging/__init__.py | 5 + .../trains/merging/merging_trains.py | 0 scripts/{ => cleaning}/trains/pipeline.py | 12 +- .../trains/visualization/__init__.py | 4 +- .../trains/visualization/cleaning_plots.py | 0 .../trains/visualization/eda_plots.py | 0 scripts/trains/merging/__init__.py | 5 - tardis_eda.ipynb | 340 ++++++++++-------- 30 files changed, 307 insertions(+), 194 deletions(-) create mode 100644 scripts/cleaning/__init__.py create mode 100644 scripts/cleaning/meteo/__init__.py rename scripts/{meteo => cleaning/meteo/audit}/__init__.py (100%) create mode 100644 scripts/cleaning/meteo/cleaning/__init__.py create mode 100644 scripts/cleaning/meteo/loading.py create mode 100644 scripts/cleaning/meteo/merging/__init__.py create mode 100644 scripts/cleaning/meteo/pipeline.py create mode 100644 scripts/cleaning/meteo/visualization/__init__.py rename scripts/{ => cleaning}/trains/__init__.py (77%) rename scripts/{ => cleaning}/trains/audit/__init__.py (74%) rename scripts/{ => cleaning}/trains/audit/quality.py (99%) rename scripts/{ => cleaning}/trains/audit/tracker.py (100%) rename scripts/{ => cleaning}/trains/cleaning/__init__.py (60%) rename scripts/{ => cleaning}/trains/cleaning/corrections.py (100%) rename scripts/{ => cleaning}/trains/cleaning/nan_recovery.py (100%) rename scripts/{ => cleaning}/trains/cleaning/normalization.py (100%) rename scripts/{ => cleaning}/trains/cleaning/preprocessing.py (100%) rename scripts/{ => cleaning}/trains/cleaning/station_clustering.py (100%) rename scripts/{ => cleaning}/trains/cleaning/type_conversion.py (100%) rename scripts/{ => cleaning}/trains/features.py (100%) rename scripts/{ => cleaning}/trains/loading.py (100%) create mode 100644 scripts/cleaning/trains/merging/__init__.py rename scripts/{ => cleaning}/trains/merging/merging_trains.py (100%) rename scripts/{ => cleaning}/trains/pipeline.py (92%) rename scripts/{ => cleaning}/trains/visualization/__init__.py (90%) rename scripts/{ => cleaning}/trains/visualization/cleaning_plots.py (100%) rename scripts/{ => cleaning}/trains/visualization/eda_plots.py (100%) delete mode 100644 scripts/trains/merging/__init__.py diff --git a/scripts/__init__.py b/scripts/__init__.py index 9b42c14..8adfd44 100644 --- a/scripts/__init__.py +++ b/scripts/__init__.py @@ -1,22 +1,23 @@ -from . import trains, meteo +from . import cleaning -cleaning = trains.cleaning -audit = trains.audit -merging = trains.merging -visualization = trains.visualization -features = trains.features -loading = trains.loading -pipeline = trains.pipeline +trains = cleaning.trains +meteo = cleaning.meteo +audit = cleaning.audit +merging = cleaning.merging +visualization = cleaning.visualization +features = cleaning.features +loading = cleaning.loading +pipeline = cleaning.pipeline __all__ = [ - "trains", - "meteo", - "cleaning", - "audit", - "merging", - "visualization", - "features", - "loading", - "pipeline", + "cleaning", + "trains", + "meteo", + "audit", + "merging", + "visualization", + "features", + "loading", + "pipeline", ] diff --git a/scripts/cleaning/__init__.py b/scripts/cleaning/__init__.py new file mode 100644 index 0000000..9b42c14 --- /dev/null +++ b/scripts/cleaning/__init__.py @@ -0,0 +1,22 @@ +from . import trains, meteo + +cleaning = trains.cleaning +audit = trains.audit +merging = trains.merging +visualization = trains.visualization +features = trains.features +loading = trains.loading +pipeline = trains.pipeline + +__all__ = [ + "trains", + "meteo", + "cleaning", + "audit", + "merging", + "visualization", + "features", + "loading", + "pipeline", +] + diff --git a/scripts/cleaning/meteo/__init__.py b/scripts/cleaning/meteo/__init__.py new file mode 100644 index 0000000..77df267 --- /dev/null +++ b/scripts/cleaning/meteo/__init__.py @@ -0,0 +1,13 @@ +from . import audit, cleaning, merging, visualization +from .loading import get_paths, load_data, load_meteo + +__all__ = [ + "audit", + "cleaning", + "merging", + "visualization", + "load_data", + "get_paths", + "load_meteo", +] + diff --git a/scripts/meteo/__init__.py b/scripts/cleaning/meteo/audit/__init__.py similarity index 100% rename from scripts/meteo/__init__.py rename to scripts/cleaning/meteo/audit/__init__.py diff --git a/scripts/cleaning/meteo/cleaning/__init__.py b/scripts/cleaning/meteo/cleaning/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/scripts/cleaning/meteo/loading.py b/scripts/cleaning/meteo/loading.py new file mode 100644 index 0000000..a1b5ee8 --- /dev/null +++ b/scripts/cleaning/meteo/loading.py @@ -0,0 +1,19 @@ +import pandas as pd + +def load_data(path: str) -> tuple[pd.DataFrame, pd.DataFrame]: + df = pd.read_csv(path, sep=";") + original_file = df.copy() + print(f"Loaded: {df.shape[0]} rows, {df.shape[1]} columns") + return df, original_file + +def get_paths(csv_paths: str) -> list[str]: + with open(csv_paths, "r", encoding="utf-8") as f: + return f.read().splitlines() + +def load_meteo(csv_vent_path: str, csv_parameter_path) -> pd.DataFrame: + csv_vent_paths = get_paths(csv_vent_path) + csv_parameter_paths = get_paths(csv_parameter_path) + vent_df = pd.concat([pd.read_csv(p, sep=";") for p in csv_vent_paths], ignore_index=True) + parameter_df = pd.concat([pd.read_csv(p, sep=";") for p in csv_parameter_paths]) + meteo_df = pd.merge(vent_df, parameter_df, on=["NUM_POSTE", "AAAAMMJJ"]) + return meteo_df \ No newline at end of file diff --git a/scripts/cleaning/meteo/merging/__init__.py b/scripts/cleaning/meteo/merging/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/scripts/cleaning/meteo/pipeline.py b/scripts/cleaning/meteo/pipeline.py new file mode 100644 index 0000000..6ab389e --- /dev/null +++ b/scripts/cleaning/meteo/pipeline.py @@ -0,0 +1,21 @@ +from . import loading + +class Pipeline: + def __init__(self, + data_vent_path : str, + data_parameter_path : str, + output_path: str = "../../../data/processed/trains/cleaned_meteo_dataset.csv", + report_path: str = "../../../data/processed/audit/cleaning_meteo_report.csv", + ): + self.data_vent_path = data_vent_path + self.data_parameter_path = data_parameter_path + self.output_path = output_path + self.report_path = report_path + + self.df = None + self.original = None + + def run(self): + + def _load(self): + self.df, self.original = loading.load_meteo(self.data_vent_path, self.data_parameter_path) \ No newline at end of file diff --git a/scripts/cleaning/meteo/visualization/__init__.py b/scripts/cleaning/meteo/visualization/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/scripts/trains/__init__.py b/scripts/cleaning/trains/__init__.py similarity index 77% rename from scripts/trains/__init__.py rename to scripts/cleaning/trains/__init__.py index d621b07..9d8f199 100644 --- a/scripts/trains/__init__.py +++ b/scripts/cleaning/trains/__init__.py @@ -1,4 +1,4 @@ -from . import cleaning, audit, merging, visualization +from . import cleaning, audit, merging, visualization, features, loading, pipeline from .features import ( add_cancellation_rate, add_delay_category, @@ -14,6 +14,9 @@ "audit", "merging", "visualization", + "features", + "loading", + "pipeline", "Pipeline", "load_data", "add_time_features", diff --git a/scripts/trains/audit/__init__.py b/scripts/cleaning/trains/audit/__init__.py similarity index 74% rename from scripts/trains/audit/__init__.py rename to scripts/cleaning/trains/audit/__init__.py index db5a3ae..3524647 100644 --- a/scripts/trains/audit/__init__.py +++ b/scripts/cleaning/trains/audit/__init__.py @@ -1,11 +1,11 @@ -from scripts.trains.audit.quality import ( +from .quality import ( check_completeness, check_distributions, check_effectiveness, check_outliers, check_validity, ) -from scripts.trains.audit.tracker import AuditReport +from .tracker import AuditReport __all__ = [ "AuditReport", diff --git a/scripts/trains/audit/quality.py b/scripts/cleaning/trains/audit/quality.py similarity index 99% rename from scripts/trains/audit/quality.py rename to scripts/cleaning/trains/audit/quality.py index 546937e..3a6bd31 100644 --- a/scripts/trains/audit/quality.py +++ b/scripts/cleaning/trains/audit/quality.py @@ -2,7 +2,7 @@ import pandas as pd -from scripts.trains.audit.tracker import AuditReport +from .tracker import AuditReport _DEFAULT_DIST_COLS = [ "Number of scheduled trains", diff --git a/scripts/trains/audit/tracker.py b/scripts/cleaning/trains/audit/tracker.py similarity index 100% rename from scripts/trains/audit/tracker.py rename to scripts/cleaning/trains/audit/tracker.py diff --git a/scripts/trains/cleaning/__init__.py b/scripts/cleaning/trains/cleaning/__init__.py similarity index 60% rename from scripts/trains/cleaning/__init__.py rename to scripts/cleaning/trains/cleaning/__init__.py index cada3fa..46b0db5 100644 --- a/scripts/trains/cleaning/__init__.py +++ b/scripts/cleaning/trains/cleaning/__init__.py @@ -1,21 +1,21 @@ -from scripts.trains.cleaning.corrections import ( +from .corrections import ( fix_count_overflow, fix_delay_hierarchy, fix_negative_counts, recompute_rates, ) -from scripts.trains.cleaning.nan_recovery import recover_arrival_delay, recover_departure_delay -from scripts.trains.cleaning.normalization import normalize_labels -from scripts.trains.cleaning.preprocessing import ( +from .nan_recovery import recover_arrival_delay, recover_departure_delay +from .normalization import normalize_labels +from .preprocessing import ( CRITICAL_COLS, deduplicate, drop_comment_columns, drop_critical_nan, CRITICAL_COMP_COLS, ) -from scripts.trains.cleaning.preprocessing import drop_critical_comp_nan -from scripts.trains.cleaning.station_clustering import StationClusterer -from scripts.trains.cleaning.type_conversion import ( +from .preprocessing import drop_critical_comp_nan +from .station_clustering import StationClusterer +from .type_conversion import ( cast_string_columns, convert_numerics, parse_dates, diff --git a/scripts/trains/cleaning/corrections.py b/scripts/cleaning/trains/cleaning/corrections.py similarity index 100% rename from scripts/trains/cleaning/corrections.py rename to scripts/cleaning/trains/cleaning/corrections.py diff --git a/scripts/trains/cleaning/nan_recovery.py b/scripts/cleaning/trains/cleaning/nan_recovery.py similarity index 100% rename from scripts/trains/cleaning/nan_recovery.py rename to scripts/cleaning/trains/cleaning/nan_recovery.py diff --git a/scripts/trains/cleaning/normalization.py b/scripts/cleaning/trains/cleaning/normalization.py similarity index 100% rename from scripts/trains/cleaning/normalization.py rename to scripts/cleaning/trains/cleaning/normalization.py diff --git a/scripts/trains/cleaning/preprocessing.py b/scripts/cleaning/trains/cleaning/preprocessing.py similarity index 100% rename from scripts/trains/cleaning/preprocessing.py rename to scripts/cleaning/trains/cleaning/preprocessing.py diff --git a/scripts/trains/cleaning/station_clustering.py b/scripts/cleaning/trains/cleaning/station_clustering.py similarity index 100% rename from scripts/trains/cleaning/station_clustering.py rename to scripts/cleaning/trains/cleaning/station_clustering.py diff --git a/scripts/trains/cleaning/type_conversion.py b/scripts/cleaning/trains/cleaning/type_conversion.py similarity index 100% rename from scripts/trains/cleaning/type_conversion.py rename to scripts/cleaning/trains/cleaning/type_conversion.py diff --git a/scripts/trains/features.py b/scripts/cleaning/trains/features.py similarity index 100% rename from scripts/trains/features.py rename to scripts/cleaning/trains/features.py diff --git a/scripts/trains/loading.py b/scripts/cleaning/trains/loading.py similarity index 100% rename from scripts/trains/loading.py rename to scripts/cleaning/trains/loading.py diff --git a/scripts/cleaning/trains/merging/__init__.py b/scripts/cleaning/trains/merging/__init__.py new file mode 100644 index 0000000..c85ce39 --- /dev/null +++ b/scripts/cleaning/trains/merging/__init__.py @@ -0,0 +1,5 @@ +from .merging_trains import merge_trains + +__all__ = [ + "merge_trains", +] \ No newline at end of file diff --git a/scripts/trains/merging/merging_trains.py b/scripts/cleaning/trains/merging/merging_trains.py similarity index 100% rename from scripts/trains/merging/merging_trains.py rename to scripts/cleaning/trains/merging/merging_trains.py diff --git a/scripts/trains/pipeline.py b/scripts/cleaning/trains/pipeline.py similarity index 92% rename from scripts/trains/pipeline.py rename to scripts/cleaning/trains/pipeline.py index 4ac2298..be0069f 100644 --- a/scripts/trains/pipeline.py +++ b/scripts/cleaning/trains/pipeline.py @@ -1,17 +1,13 @@ -import scripts.trains.audit as audit -import scripts.trains.cleaning as cleaning -import scripts.trains.features as features -import scripts.trains.loading as loading -import scripts.trains.merging as merging +from . import audit, cleaning, features, loading, merging class Pipeline: def __init__( self, data_path: str, - output_path: str = "data/processed/trains/cleaned_dataset.csv", - report_path: str = "data/processed/audit/cleaning_report.csv", - complementary_data_path: str = "data/raw/trains/gares-de-voyageurs.csv", + complementary_data_path: str, + output_path: str = "../../../data/processed/trains/cleaned_dataset.csv", + report_path: str = "../../../data/processed/audit/cleaning_report.csv", station_threshold: int = 80, ): self.data_path = data_path diff --git a/scripts/trains/visualization/__init__.py b/scripts/cleaning/trains/visualization/__init__.py similarity index 90% rename from scripts/trains/visualization/__init__.py rename to scripts/cleaning/trains/visualization/__init__.py index 1b15541..296ce4e 100644 --- a/scripts/trains/visualization/__init__.py +++ b/scripts/cleaning/trains/visualization/__init__.py @@ -1,4 +1,4 @@ -from scripts.trains.visualization.cleaning_plots import ( +from .cleaning_plots import ( plot_algebraic_recovery, plot_corrections, plot_critical_nan_drop, @@ -10,7 +10,7 @@ plot_station_clustering, plot_validity_checks, ) -from scripts.trains.visualization.eda_plots import ( +from .eda_plots import ( plot_cancellation_by_service, plot_correlation_matrix, plot_delay_categories, diff --git a/scripts/trains/visualization/cleaning_plots.py b/scripts/cleaning/trains/visualization/cleaning_plots.py similarity index 100% rename from scripts/trains/visualization/cleaning_plots.py rename to scripts/cleaning/trains/visualization/cleaning_plots.py diff --git a/scripts/trains/visualization/eda_plots.py b/scripts/cleaning/trains/visualization/eda_plots.py similarity index 100% rename from scripts/trains/visualization/eda_plots.py rename to scripts/cleaning/trains/visualization/eda_plots.py diff --git a/scripts/trains/merging/__init__.py b/scripts/trains/merging/__init__.py deleted file mode 100644 index fcfb700..0000000 --- a/scripts/trains/merging/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from scripts.trains.merging.merging_trains import merge_trains - -__all__ = [ - "merge_trains", -] \ No newline at end of file diff --git a/tardis_eda.ipynb b/tardis_eda.ipynb index b42d29d..c587efd 100644 --- a/tardis_eda.ipynb +++ b/tardis_eda.ipynb @@ -83,18 +83,56 @@ { "metadata": {}, "cell_type": "markdown", - "source": "### 1. Imports\n\n#### External libraries\n\n| Library | Role in this notebook |\n|--------|-----------------------|\n| `pandas` | Dataframe manipulation and CSV I/O |\n| `matplotlib` | Base rendering engine for plots |\n| `seaborn` | Statistical visualisations (boxplots, heatmaps) |\n| `huggingface_hub` | Automatic data download from the HuggingFace repository |\n| `pathlib.Path` | Check folder existence before downloading |\n\n#### Internal modules (`scripts/trains/`)\n\nAll pipeline logic is encapsulated in dedicated modules under `scripts/trains/`. This notebook is purely an orchestrator: it calls these modules in the correct order, displays intermediate results, and produces visualisations.\n\n| Module | Role |\n|--------|------|\n| `scripts.trains.loading` | Read raw CSVs and create frozen copies |\n| `scripts.trains.cleaning` | All cleaning transformations (dedup, NaN, types, labels, clustering, corrections) |\n| `scripts.trains.features` | Add derived columns (year, month, season, categories, rates) |\n| `scripts.trains.audit` | Compute and record quality metrics |\n| `scripts.trains.visualization.cleaning_plots` | Charts related to the cleaning pipeline |\n| `scripts.trains.visualization.eda_plots` | Exploratory data analysis charts |\n\n> No third-party fuzzy matching library is used — the similarity scoring (`tok_sort_ratio`) is implemented from scratch using Python's standard library `Counter`.", + "source": [ + "### 1. Imports\n", + "\n", + "#### External libraries\n", + "\n", + "| Library | Role in this notebook |\n", + "|--------|-----------------------|\n", + "| `pandas` | Dataframe manipulation and CSV I/O |\n", + "| `matplotlib` | Base rendering engine for plots |\n", + "| `seaborn` | Statistical visualisations (boxplots, heatmaps) |\n", + "| `huggingface_hub` | Automatic data download from the HuggingFace repository |\n", + "| `pathlib.Path` | Check folder existence before downloading |\n", + "\n", + "#### Internal modules (`scripts/cleaning/trains/`)\n", + "\n", + "All pipeline logic is encapsulated in dedicated modules under `scripts/cleaning/trains/`. This notebook is purely an orchestrator: it calls these modules in the correct order, displays intermediate results, and produces visualisations.\n", + "\n", + "| Module | Role |\n", + "|--------|------|\n", + "| `scripts.loading` | Read raw CSVs and create frozen copies |\n", + "| `scripts.cleaning.cleaning` | All cleaning transformations (dedup, NaN, types, labels, clustering, corrections) |\n", + "| `scripts.features` | Add derived columns (year, month, season, categories, rates) |\n", + "| `scripts.audit` | Compute and record quality metrics |\n", + "| `scripts.visualization.cleaning_plots` | Charts related to the cleaning pipeline |\n", + "| `scripts.visualization.eda_plots` | Exploratory data analysis charts |\n", + "\n", + "> No third-party fuzzy matching library is used — the similarity scoring (`tok_sort_ratio`) is implemented from scratch using Python's standard library `Counter`." + ], "id": "a736fcc960a1915b" }, { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.106503910Z", - "start_time": "2026-05-24T00:17:40.529339110Z" + "end_time": "2026-05-24T00:48:47.820947516Z", + "start_time": "2026-05-24T00:48:46.980525505Z" } }, "cell_type": "code", - "source": "import scripts.trains.audit as audit\nimport scripts.trains.cleaning as cleaning\nimport scripts.trains.features as features\nimport scripts.trains.loading as loading\nimport scripts.trains.merging as merging\nimport scripts.trains.visualization.cleaning_plots as cplots\nimport scripts.trains.visualization.eda_plots as eplots\nfrom pathlib import Path\nfrom huggingface_hub import snapshot_download", + "source": [ + "from scripts import cleaning as pkg\n", + "audit = pkg.audit\n", + "cleaning = pkg.cleaning\n", + "features = pkg.features\n", + "loading = pkg.loading\n", + "merging = pkg.merging\n", + "cplots = pkg.visualization.cleaning_plots\n", + "eplots = pkg.visualization.eda_plots\n", + "from pathlib import Path\n", + "from huggingface_hub import snapshot_download\n" + ], "id": "234b7129843b91ba", "outputs": [], "execution_count": 1 @@ -114,8 +152,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.164753608Z", - "start_time": "2026-05-24T00:17:41.109055297Z" + "end_time": "2026-05-24T00:48:47.905184673Z", + "start_time": "2026-05-24T00:48:47.824834550Z" } }, "cell_type": "code", @@ -152,8 +190,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.222375274Z", - "start_time": "2026-05-24T00:17:41.170701047Z" + "end_time": "2026-05-24T00:48:47.926641567Z", + "start_time": "2026-05-24T00:48:47.908808012Z" } }, "cell_type": "code", @@ -185,8 +223,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.342805940Z", - "start_time": "2026-05-24T00:17:41.230407782Z" + "end_time": "2026-05-24T00:48:48.024616490Z", + "start_time": "2026-05-24T00:48:47.939698991Z" } }, "cell_type": "code", @@ -212,8 +250,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.602688107Z", - "start_time": "2026-05-24T00:17:41.344480827Z" + "end_time": "2026-05-24T00:48:48.279332421Z", + "start_time": "2026-05-24T00:48:48.039279547Z" } }, "cell_type": "code", @@ -259,8 +297,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.673335395Z", - "start_time": "2026-05-24T00:17:41.610595049Z" + "end_time": "2026-05-24T00:48:48.334859277Z", + "start_time": "2026-05-24T00:48:48.285224225Z" } }, "cell_type": "code", @@ -321,8 +359,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.738152574Z", - "start_time": "2026-05-24T00:17:41.675012090Z" + "end_time": "2026-05-24T00:48:48.402563190Z", + "start_time": "2026-05-24T00:48:48.344258579Z" } }, "cell_type": "code", @@ -349,8 +387,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.788855228Z", - "start_time": "2026-05-24T00:17:41.739491325Z" + "end_time": "2026-05-24T00:48:48.455056757Z", + "start_time": "2026-05-24T00:48:48.408705363Z" } }, "cell_type": "code", @@ -378,8 +416,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.872892841Z", - "start_time": "2026-05-24T00:17:41.794432542Z" + "end_time": "2026-05-24T00:48:48.523931494Z", + "start_time": "2026-05-24T00:48:48.457537154Z" } }, "cell_type": "code", @@ -412,8 +450,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.922067532Z", - "start_time": "2026-05-24T00:17:41.875432313Z" + "end_time": "2026-05-24T00:48:48.577067279Z", + "start_time": "2026-05-24T00:48:48.529915278Z" } }, "cell_type": "code", @@ -439,8 +477,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:41.982383623Z", - "start_time": "2026-05-24T00:17:41.924368208Z" + "end_time": "2026-05-24T00:48:48.638009382Z", + "start_time": "2026-05-24T00:48:48.580571009Z" } }, "cell_type": "code", @@ -484,8 +522,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.116268310Z", - "start_time": "2026-05-24T00:17:41.988039436Z" + "end_time": "2026-05-24T00:48:48.772461694Z", + "start_time": "2026-05-24T00:48:48.644320928Z" } }, "cell_type": "code", @@ -524,8 +562,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.216407397Z", - "start_time": "2026-05-24T00:17:42.123355332Z" + "end_time": "2026-05-24T00:48:48.869872759Z", + "start_time": "2026-05-24T00:48:48.778643132Z" } }, "cell_type": "code", @@ -568,8 +606,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.273682663Z", - "start_time": "2026-05-24T00:17:42.217802647Z" + "end_time": "2026-05-24T00:48:48.930596890Z", + "start_time": "2026-05-24T00:48:48.871360761Z" } }, "cell_type": "code", @@ -601,8 +639,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.327077311Z", - "start_time": "2026-05-24T00:17:42.279958045Z" + "end_time": "2026-05-24T00:48:48.984249279Z", + "start_time": "2026-05-24T00:48:48.936862822Z" } }, "cell_type": "code", @@ -631,8 +669,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.393221603Z", - "start_time": "2026-05-24T00:17:42.329218575Z" + "end_time": "2026-05-24T00:48:49.049372903Z", + "start_time": "2026-05-24T00:48:48.986598038Z" } }, "cell_type": "code", @@ -681,8 +719,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.459570523Z", - "start_time": "2026-05-24T00:17:42.400814061Z" + "end_time": "2026-05-24T00:48:49.118120315Z", + "start_time": "2026-05-24T00:48:49.050695981Z" } }, "cell_type": "code", @@ -721,8 +759,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.522948515Z", - "start_time": "2026-05-24T00:17:42.463534427Z" + "end_time": "2026-05-24T00:48:49.176664575Z", + "start_time": "2026-05-24T00:48:49.119200076Z" } }, "cell_type": "code", @@ -756,8 +794,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.587505671Z", - "start_time": "2026-05-24T00:17:42.526140503Z" + "end_time": "2026-05-24T00:48:49.241542237Z", + "start_time": "2026-05-24T00:48:49.182866947Z" } }, "cell_type": "code", @@ -795,8 +833,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.655278139Z", - "start_time": "2026-05-24T00:17:42.590981503Z" + "end_time": "2026-05-24T00:48:49.305239209Z", + "start_time": "2026-05-24T00:48:49.247615223Z" } }, "cell_type": "code", @@ -842,8 +880,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.729927906Z", - "start_time": "2026-05-24T00:17:42.662001186Z" + "end_time": "2026-05-24T00:48:49.365195751Z", + "start_time": "2026-05-24T00:48:49.306626950Z" } }, "cell_type": "code", @@ -920,8 +958,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.879295464Z", - "start_time": "2026-05-24T00:17:42.742896882Z" + "end_time": "2026-05-24T00:48:49.464359411Z", + "start_time": "2026-05-24T00:48:49.366269004Z" } }, "cell_type": "code", @@ -983,8 +1021,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:42.940608004Z", - "start_time": "2026-05-24T00:17:42.881737205Z" + "end_time": "2026-05-24T00:48:49.532345146Z", + "start_time": "2026-05-24T00:48:49.473493036Z" } }, "cell_type": "code", @@ -1021,8 +1059,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.001938390Z", - "start_time": "2026-05-24T00:17:42.941946930Z" + "end_time": "2026-05-24T00:48:49.596531321Z", + "start_time": "2026-05-24T00:48:49.538033256Z" } }, "cell_type": "code", @@ -1083,8 +1121,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.061917725Z", - "start_time": "2026-05-24T00:17:43.003632224Z" + "end_time": "2026-05-24T00:48:49.655468953Z", + "start_time": "2026-05-24T00:48:49.597620151Z" } }, "cell_type": "code", @@ -1113,14 +1151,13 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.184396704Z", - "start_time": "2026-05-24T00:17:43.066834841Z" + "end_time": "2026-05-24T00:48:49.772576159Z", + "start_time": "2026-05-24T00:48:49.656396495Z" } }, "cell_type": "code", "source": "cplots.plot_station_clustering(cluster_stats[\"merged\"], cluster_stats[\"total\"], clusterer.clusters)", "id": "d520f6d41a85d934", - "execution_count": 26, "outputs": [ { "data": { @@ -1132,7 +1169,8 @@ "metadata": {}, "output_type": "display_data" } - ] + ], + "execution_count": 26 }, { "metadata": {}, @@ -1157,8 +1195,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.326808916Z", - "start_time": "2026-05-24T00:17:43.189712182Z" + "end_time": "2026-05-24T00:48:49.902037390Z", + "start_time": "2026-05-24T00:48:49.778729737Z" } }, "cell_type": "code", @@ -1235,8 +1273,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.391366624Z", - "start_time": "2026-05-24T00:17:43.328237709Z" + "end_time": "2026-05-24T00:48:49.957343218Z", + "start_time": "2026-05-24T00:48:49.908009836Z" } }, "cell_type": "code", @@ -1263,8 +1301,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.451192232Z", - "start_time": "2026-05-24T00:17:43.393743492Z" + "end_time": "2026-05-24T00:48:50.029422162Z", + "start_time": "2026-05-24T00:48:49.970401763Z" } }, "cell_type": "code", @@ -1305,8 +1343,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.521466699Z", - "start_time": "2026-05-24T00:17:43.458247455Z" + "end_time": "2026-05-24T00:48:50.094180250Z", + "start_time": "2026-05-24T00:48:50.035475020Z" } }, "cell_type": "code", @@ -1333,8 +1371,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.585518328Z", - "start_time": "2026-05-24T00:17:43.527669166Z" + "end_time": "2026-05-24T00:48:50.158994183Z", + "start_time": "2026-05-24T00:48:50.100295493Z" } }, "cell_type": "code", @@ -1373,8 +1411,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.645855805Z", - "start_time": "2026-05-24T00:17:43.587016810Z" + "end_time": "2026-05-24T00:48:50.232101935Z", + "start_time": "2026-05-24T00:48:50.173151769Z" } }, "cell_type": "code", @@ -1427,8 +1465,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.704265955Z", - "start_time": "2026-05-24T00:17:43.649090690Z" + "end_time": "2026-05-24T00:48:50.296718132Z", + "start_time": "2026-05-24T00:48:50.238041230Z" } }, "cell_type": "code", @@ -1450,8 +1488,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.771314698Z", - "start_time": "2026-05-24T00:17:43.705141769Z" + "end_time": "2026-05-24T00:48:50.373098415Z", + "start_time": "2026-05-24T00:48:50.302832255Z" } }, "cell_type": "code", @@ -1491,8 +1529,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.828336517Z", - "start_time": "2026-05-24T00:17:43.773190210Z" + "end_time": "2026-05-24T00:48:50.440707188Z", + "start_time": "2026-05-24T00:48:50.381881620Z" } }, "cell_type": "code", @@ -1524,8 +1562,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.896561896Z", - "start_time": "2026-05-24T00:17:43.832916590Z" + "end_time": "2026-05-24T00:48:50.505896677Z", + "start_time": "2026-05-24T00:48:50.447198799Z" } }, "cell_type": "code", @@ -1569,8 +1607,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:43.969596504Z", - "start_time": "2026-05-24T00:17:43.899831983Z" + "end_time": "2026-05-24T00:48:50.585158502Z", + "start_time": "2026-05-24T00:48:50.512524144Z" } }, "cell_type": "code", @@ -1610,8 +1648,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.049146869Z", - "start_time": "2026-05-24T00:17:43.973229903Z" + "end_time": "2026-05-24T00:48:50.673080708Z", + "start_time": "2026-05-24T00:48:50.591660763Z" } }, "cell_type": "code", @@ -1693,8 +1731,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.111486106Z", - "start_time": "2026-05-24T00:17:44.053371139Z" + "end_time": "2026-05-24T00:48:50.733678540Z", + "start_time": "2026-05-24T00:48:50.674589127Z" } }, "cell_type": "code", @@ -1734,8 +1772,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.173044523Z", - "start_time": "2026-05-24T00:17:44.112908606Z" + "end_time": "2026-05-24T00:48:50.794441308Z", + "start_time": "2026-05-24T00:48:50.737405995Z" } }, "cell_type": "code", @@ -1780,8 +1818,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.231737407Z", - "start_time": "2026-05-24T00:17:44.174321189Z" + "end_time": "2026-05-24T00:48:50.848153209Z", + "start_time": "2026-05-24T00:48:50.798297631Z" } }, "cell_type": "code", @@ -1824,8 +1862,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.291554603Z", - "start_time": "2026-05-24T00:17:44.232623413Z" + "end_time": "2026-05-24T00:48:50.916642434Z", + "start_time": "2026-05-24T00:48:50.857136459Z" } }, "cell_type": "code", @@ -1863,8 +1901,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.351423004Z", - "start_time": "2026-05-24T00:17:44.295273198Z" + "end_time": "2026-05-24T00:48:50.980178711Z", + "start_time": "2026-05-24T00:48:50.920408694Z" } }, "cell_type": "code", @@ -1901,8 +1939,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.412665341Z", - "start_time": "2026-05-24T00:17:44.357057089Z" + "end_time": "2026-05-24T00:48:51.041867363Z", + "start_time": "2026-05-24T00:48:50.984181191Z" } }, "cell_type": "code", @@ -1929,8 +1967,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.473738701Z", - "start_time": "2026-05-24T00:17:44.416603107Z" + "end_time": "2026-05-24T00:48:51.100790792Z", + "start_time": "2026-05-24T00:48:51.043034034Z" } }, "cell_type": "code", @@ -1962,8 +2000,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.577956679Z", - "start_time": "2026-05-24T00:17:44.487336043Z" + "end_time": "2026-05-24T00:48:51.196783566Z", + "start_time": "2026-05-24T00:48:51.105132391Z" } }, "cell_type": "code", @@ -1991,8 +2029,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.636939881Z", - "start_time": "2026-05-24T00:17:44.579297185Z" + "end_time": "2026-05-24T00:48:51.256202102Z", + "start_time": "2026-05-24T00:48:51.198176567Z" } }, "cell_type": "code", @@ -2028,8 +2066,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.724231093Z", - "start_time": "2026-05-24T00:17:44.638190764Z" + "end_time": "2026-05-24T00:48:51.350852065Z", + "start_time": "2026-05-24T00:48:51.260147511Z" } }, "cell_type": "code", @@ -2057,8 +2095,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.773039074Z", - "start_time": "2026-05-24T00:17:44.725505430Z" + "end_time": "2026-05-24T00:48:51.403378198Z", + "start_time": "2026-05-24T00:48:51.355162924Z" } }, "cell_type": "code", @@ -2082,8 +2120,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.844315844Z", - "start_time": "2026-05-24T00:17:44.781009686Z" + "end_time": "2026-05-24T00:48:51.463328498Z", + "start_time": "2026-05-24T00:48:51.406033225Z" } }, "cell_type": "code", @@ -2104,8 +2142,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.930481451Z", - "start_time": "2026-05-24T00:17:44.845163795Z" + "end_time": "2026-05-24T00:48:51.534367835Z", + "start_time": "2026-05-24T00:48:51.467191745Z" } }, "cell_type": "code", @@ -2149,8 +2187,8 @@ "id": "878bc69be04243b3", "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:44.998237196Z", - "start_time": "2026-05-24T00:17:44.933528042Z" + "end_time": "2026-05-24T00:48:51.588981917Z", + "start_time": "2026-05-24T00:48:51.538469691Z" } }, "source": [ @@ -2194,8 +2232,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:45.207038174Z", - "start_time": "2026-05-24T00:17:45.009051728Z" + "end_time": "2026-05-24T00:48:51.780020796Z", + "start_time": "2026-05-24T00:48:51.598415320Z" } }, "cell_type": "code", @@ -2255,8 +2293,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:45.275832777Z", - "start_time": "2026-05-24T00:17:45.210971472Z" + "end_time": "2026-05-24T00:48:51.845368589Z", + "start_time": "2026-05-24T00:48:51.784404211Z" } }, "cell_type": "code", @@ -2318,8 +2356,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:45.358298110Z", - "start_time": "2026-05-24T00:17:45.280173559Z" + "end_time": "2026-05-24T00:48:51.912742623Z", + "start_time": "2026-05-24T00:48:51.849545264Z" } }, "cell_type": "code", @@ -2581,8 +2619,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:45.675040465Z", - "start_time": "2026-05-24T00:17:45.413121188Z" + "end_time": "2026-05-24T00:48:52.090130759Z", + "start_time": "2026-05-24T00:48:51.990346396Z" } }, "cell_type": "code", @@ -2626,8 +2664,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:45.928927313Z", - "start_time": "2026-05-24T00:17:45.787468725Z" + "end_time": "2026-05-24T00:48:52.320321332Z", + "start_time": "2026-05-24T00:48:52.179056571Z" } }, "cell_type": "code", @@ -2672,8 +2710,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.110663120Z", - "start_time": "2026-05-24T00:17:46.052963933Z" + "end_time": "2026-05-24T00:48:52.505242826Z", + "start_time": "2026-05-24T00:48:52.446865405Z" } }, "cell_type": "code", @@ -2704,8 +2742,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.303731792Z", - "start_time": "2026-05-24T00:17:46.230382527Z" + "end_time": "2026-05-24T00:48:52.684436873Z", + "start_time": "2026-05-24T00:48:52.610548582Z" } }, "cell_type": "code", @@ -2747,8 +2785,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.363046878Z", - "start_time": "2026-05-24T00:17:46.305472177Z" + "end_time": "2026-05-24T00:48:52.760557594Z", + "start_time": "2026-05-24T00:48:52.685376227Z" } }, "cell_type": "code", @@ -2799,8 +2837,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.424583692Z", - "start_time": "2026-05-24T00:17:46.366540950Z" + "end_time": "2026-05-24T00:48:52.785464343Z", + "start_time": "2026-05-24T00:48:52.771243214Z" } }, "cell_type": "code", @@ -2888,8 +2926,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.734574993Z", - "start_time": "2026-05-24T00:17:46.428299479Z" + "end_time": "2026-05-24T00:48:53.093700455Z", + "start_time": "2026-05-24T00:48:52.786450234Z" } }, "cell_type": "code", @@ -2918,8 +2956,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.821707837Z", - "start_time": "2026-05-24T00:17:46.735967619Z" + "end_time": "2026-05-24T00:48:53.170543971Z", + "start_time": "2026-05-24T00:48:53.094787544Z" } }, "cell_type": "code", @@ -2948,8 +2986,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:46.912854559Z", - "start_time": "2026-05-24T00:17:46.824778377Z" + "end_time": "2026-05-24T00:48:53.249221223Z", + "start_time": "2026-05-24T00:48:53.171575152Z" } }, "cell_type": "code", @@ -2978,8 +3016,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.016844121Z", - "start_time": "2026-05-24T00:17:46.914306508Z" + "end_time": "2026-05-24T00:48:53.341734880Z", + "start_time": "2026-05-24T00:48:53.250139091Z" } }, "cell_type": "code", @@ -3008,8 +3046,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.120099395Z", - "start_time": "2026-05-24T00:17:47.017997462Z" + "end_time": "2026-05-24T00:48:53.431694015Z", + "start_time": "2026-05-24T00:48:53.342477569Z" } }, "cell_type": "code", @@ -3038,8 +3076,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.319838144Z", - "start_time": "2026-05-24T00:17:47.121308527Z" + "end_time": "2026-05-24T00:48:53.608878910Z", + "start_time": "2026-05-24T00:48:53.432310649Z" } }, "cell_type": "code", @@ -3068,8 +3106,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.424412859Z", - "start_time": "2026-05-24T00:17:47.322009810Z" + "end_time": "2026-05-24T00:48:53.679402148Z", + "start_time": "2026-05-24T00:48:53.609655281Z" } }, "cell_type": "code", @@ -3141,8 +3179,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.529219697Z", - "start_time": "2026-05-24T00:17:47.427028225Z" + "end_time": "2026-05-24T00:48:53.766685935Z", + "start_time": "2026-05-24T00:48:53.680890880Z" } }, "cell_type": "code", @@ -3205,8 +3243,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.627514519Z", - "start_time": "2026-05-24T00:17:47.531334417Z" + "end_time": "2026-05-24T00:48:53.850862938Z", + "start_time": "2026-05-24T00:48:53.767351894Z" } }, "cell_type": "code", @@ -3247,8 +3285,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.842356562Z", - "start_time": "2026-05-24T00:17:47.630947371Z" + "end_time": "2026-05-24T00:48:54.024023419Z", + "start_time": "2026-05-24T00:48:53.851532863Z" } }, "cell_type": "code", @@ -3325,8 +3363,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:47.954207996Z", - "start_time": "2026-05-24T00:17:47.843473323Z" + "end_time": "2026-05-24T00:48:54.113998902Z", + "start_time": "2026-05-24T00:48:54.024826248Z" } }, "cell_type": "code", @@ -3395,8 +3433,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-05-24T00:17:48.018295524Z", - "start_time": "2026-05-24T00:17:47.955748050Z" + "end_time": "2026-05-24T00:48:54.162827052Z", + "start_time": "2026-05-24T00:48:54.114734880Z" } }, "cell_type": "code", @@ -3481,4 +3519,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} +} \ No newline at end of file From e3ca217c4ac95e15a77183cd893d92567f380ff1 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:15 +0200 Subject: [PATCH 12/34] feat: add type conversion functions for meteorological data processing --- .../meteo/cleaning/type_conversion.py | 76 +++++++++++++++++++ 1 file changed, 76 insertions(+) create mode 100644 scripts/cleaning/meteo/cleaning/type_conversion.py diff --git a/scripts/cleaning/meteo/cleaning/type_conversion.py b/scripts/cleaning/meteo/cleaning/type_conversion.py new file mode 100644 index 0000000..3d55f4c --- /dev/null +++ b/scripts/cleaning/meteo/cleaning/type_conversion.py @@ -0,0 +1,76 @@ +import pandas as pd + +# Columns that must NOT be coerced to numeric +_TEXT_COLS = ["NOM_USUEL", "STATUS_FXI3S", "STATUS_DXI3S"] +# "AAAAMMJJ" is kept as int until parse_dates; date is the parsed column +_DATE_RAW_COL = "AAAAMMJJ" +_DATE_COL = "date" + +# Columns to cast to low-cardinality "category" dtype (saves memory vs string) +_CAT_COLS = ["NOM_USUEL", "STATUS_FXI3S", "STATUS_DXI3S"] + + +def parse_dates(df: pd.DataFrame) -> pd.DataFrame: + """Parse AAAAMMJJ (integer YYYYMMDD) into a proper datetime column 'date'.""" + # Int32 nullable integers render as "" when missing → coerce handles them + df[_DATE_COL] = pd.to_datetime( + df[_DATE_RAW_COL].astype(str).str.zfill(8), format="%Y%m%d", errors="coerce" + ) + valid = df[_DATE_COL].notna().sum() + print(f"parse_dates : {valid:,}/{len(df):,} rows parsed successfully") + print(f" dtype : {df[_DATE_COL].dtype}") + print(f" Range : {df[_DATE_COL].min().date()} → {df[_DATE_COL].max().date()}") + return df + + +def convert_numerics( + df: pd.DataFrame, text_cols: list[str] | None = None +) -> pd.DataFrame: + """Coerce object columns that should be numeric. + + Columns already holding a numeric dtype (float32, float64, Int32 …) are + skipped — this preserves the float32 types set at read time instead of + silently up-casting them back to float64. + """ + if text_cols is None: + text_cols = _TEXT_COLS + [_DATE_RAW_COL, _DATE_COL] + + numeric_cols = [c for c in df.columns if c not in text_cols] + converted = 0 + for col in numeric_cols: + if pd.api.types.is_numeric_dtype(df[col]): + # Already numeric (float32, Int32, float64 …) — leave untouched + continue + # Object column: clean European decimal comma then coerce + df[col] = df[col].astype(str).str.strip().str.replace(",", ".", regex=False) + df[col] = pd.to_numeric(df[col], errors="coerce") + converted += 1 + + still_object = [c for c in numeric_cols if c in df.columns and df[c].dtype == object] + if still_object: + print(f"WARNING — still object after conversion: {still_object}") + else: + print( + f"convert_numerics: {converted} object column(s) coerced to numeric" + f" ({len(numeric_cols) - converted} already-numeric column(s) left as-is)." + ) + return df + + +def cast_string_columns( + df: pd.DataFrame, str_cols: list[str] | None = None +) -> pd.DataFrame: + """Cast low-cardinality text columns to 'category' dtype. + + 'category' stores each unique value once and uses integer codes for every + row — far more memory-efficient than 'object' or 'string' when cardinality + is low (e.g. ~1 500 station names repeated millions of times). + """ + if str_cols is None: + str_cols = [c for c in _CAT_COLS if c in df.columns] + if str_cols: + for col in str_cols: + df[col] = df[col].astype("category") + print("Dtypes after cast:") + print(df[str_cols].dtypes.to_string()) + return df From 0d04b078ed883eb36922c7776953041fc2e23756 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:20 +0200 Subject: [PATCH 13/34] feat: add AuditReport class for tracking data quality and cleaning metrics --- scripts/cleaning/meteo/audit/tracker.py | 132 ++++++++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 scripts/cleaning/meteo/audit/tracker.py diff --git a/scripts/cleaning/meteo/audit/tracker.py b/scripts/cleaning/meteo/audit/tracker.py new file mode 100644 index 0000000..6f2d418 --- /dev/null +++ b/scripts/cleaning/meteo/audit/tracker.py @@ -0,0 +1,132 @@ +import pandas as pd + + +class AuditReport: + def __init__(self) -> None: + self._entries: list[dict] = [] + + # ------------------------------------------------------------------ # + # Core primitives # + # ------------------------------------------------------------------ # + + def add(self, metric: str, value, category: str, reason: str) -> None: + self._entries.append( + {"metric": metric, "value": value, "category": category, "reason": reason} + ) + + def add_many(self, entries: list[dict]) -> None: + self._entries.extend(entries) + + def get(self, metric: str): + for entry in self._entries: + if entry["metric"] == metric: + return entry["value"] + raise KeyError(f"Metric not found: {metric!r}") + + # ------------------------------------------------------------------ # + # Recording helpers # + # ------------------------------------------------------------------ # + + def record_initial_state(self, df: pd.DataFrame) -> None: + initial_null_total = int(df.isnull().sum().sum()) + perfect_rows = df.dropna().shape[0] + perfect_cols = df.dropna(axis=1).shape[1] + nb_rows = df.shape[0] + + self.add_many( + [ + {"metric": "initial_rows", "value": nb_rows, "category": "initial_state", "reason": "Raw dataset before any cleaning"}, + {"metric": "initial_columns", "value": df.shape[1], "category": "initial_state", "reason": "Raw dataset before any cleaning"}, + {"metric": "initial_null_total", "value": initial_null_total, "category": "initial_state", "reason": "Total missing values across all cells"}, + {"metric": "perfect_rows", "value": perfect_rows, "category": "initial_state", "reason": "Rows with zero NaN — no cleaning needed"}, + {"metric": "rows_lost_if_strict_dropna", "value": nb_rows - perfect_rows, "category": "initial_state", "reason": "Rows lost with a strict zero-NaN policy"}, + {"metric": "perfect_columns", "value": perfect_cols, "category": "initial_state", "reason": "Columns with zero NaN"}, + {"metric": "cols_lost_if_strict_dropna", "value": df.shape[1] - perfect_cols, "category": "initial_state", "reason": "Columns lost with a strict zero-NaN policy"}, + ] + ) + for col in df.columns: + self.add(f"initial_null__{col}", int(df[col].isnull().sum()), "initial_null_per_column", col) + + def record_quality_invalidation(self, n_invalidated: int, q_cols: list[str]) -> None: + self.add("cells_invalidated_by_quality_flag", n_invalidated, "cleaning", + "Observation values set to NaN where Météo-France quality flag == 0 (suspicious)") + self.add("quality_columns_dropped", len(q_cols), "cleaning", + "Q* columns removed after use — no longer needed downstream") + + def record_duplicates(self, nb_dup: int) -> None: + self.add("rows_dropped_duplicates", int(nb_dup), "cleaning", + "Duplicate rows — same station-day observation counted more than once") + + def record_critical_nan(self, crit_dropped: int) -> None: + self.add("rows_dropped_critical_nan", crit_dropped, "cleaning", + "Unusable for analysis — missing key identifiers (NUM_POSTE / AAAAMMJJ / NOM_USUEL)") + + def record_recovery_summary(self, df: pd.DataFrame, total_recovered: int) -> None: + null_post_recovery = int(df.isnull().sum().sum()) + initial_null = self.get("initial_null_total") + recovery_rate = round(total_recovered / max(initial_null, 1), 4) + + self.add_many( + [ + {"metric": "values_recovered_interpolation", "value": total_recovered, "category": "data_recovery", "reason": "Cells filled by linear interpolation within the same station (limit=3 days)"}, + {"metric": "null_post_recovery", "value": null_post_recovery, "category": "recovery_summary", "reason": "Remaining nulls after interpolation (sensors absent / gaps too large)"}, + {"metric": "interpolation_recovery_rate", "value": recovery_rate, "category": "recovery_summary", "reason": "Recovered / initial_null_total — interpolation coverage of initial nulls"}, + ] + ) + print(f"Nulls post recovery : {null_post_recovery:,}") + print(f"Recovered by interp. : {total_recovered:,}") + print(f"Coverage of init nulls: {recovery_rate:.1%}") + + def record_corrections(self, neg_fixed: int, hum_fixed: int, temp_fixed: int) -> None: + self.add("values_fixed_negative", neg_fixed, "data_correction", + "Physically impossible negative values (precipitation, wind speed) → NaN") + self.add("values_fixed_humidity_bounds", hum_fixed, "data_correction", + "Humidity values outside [0, 100] → NaN") + self.add("values_fixed_temp_consistency", temp_fixed, "data_correction", + "TN > TX violation (min temperature exceeded max) — TN set to NaN") + + def record_pipeline_summary( + self, + df: pd.DataFrame, + original_rows: int, + original_col_count: int, + cols_after_quality_drop: int, + ) -> None: + row_retention = round(len(df) / original_rows, 4) if original_rows else 0 + rows_lost_dedup = self.get("rows_dropped_duplicates") + rows_lost_crit = self.get("rows_dropped_critical_nan") + cols_added = df.shape[1] - cols_after_quality_drop + + self.add_many( + [ + {"metric": "row_retention_rate", "value": row_retention, "category": "pipeline_summary", "reason": "Fraction of original rows kept (higher = more data preserved)"}, + {"metric": "pct_rows_lost_dedup", "value": round(rows_lost_dedup / max(original_rows, 1), 4), "category": "pipeline_summary", "reason": "Fraction of rows lost to exact deduplication"}, + {"metric": "pct_rows_lost_critical_nan", "value": round(rows_lost_crit / max(original_rows, 1), 4), "category": "pipeline_summary", "reason": "Fraction of rows lost to missing critical identifiers"}, + {"metric": "cols_added_feature_eng", "value": cols_added, "category": "pipeline_summary", "reason": "Net columns added by feature engineering (year, month, season, etc.)"}, + ] + ) + + def record_final_state(self, df: pd.DataFrame, original_rows: int) -> None: + self.add_many( + [ + {"metric": "final_rows", "value": len(df), "category": "final_state", "reason": "Rows after full cleaning pipeline"}, + {"metric": "final_columns", "value": len(df.columns), "category": "final_state", "reason": "Columns after cleaning + feature engineering"}, + {"metric": "final_null_total", "value": int(df.isnull().sum().sum()), "category": "final_state", "reason": "Remaining nulls — sensors absent at station / gaps too large for interpolation"}, + {"metric": "total_rows_removed", "value": original_rows - len(df), "category": "final_state", "reason": "Total rows removed across all cleaning steps"}, + ] + ) + + # ------------------------------------------------------------------ # + # Export # + # ------------------------------------------------------------------ # + + def to_dataframe(self) -> pd.DataFrame: + return pd.DataFrame( + self._entries, columns=["metric", "value", "category", "reason"] + ) + + def export(self, path: str) -> None: + df = self.to_dataframe() + df.to_csv(path, index=False) + print(f"Report saved: {len(df)} entries → {path}") + print(df["category"].value_counts().to_string()) From 8cdee871b1721c6766e583d9d8fd901c566cbe9d Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:28 +0200 Subject: [PATCH 14/34] feat: add quality checks for meteorological data including completeness, distributions, outliers, validity, and effectiveness --- scripts/cleaning/meteo/audit/quality.py | 214 ++++ tardis_meteo_eda.ipynb | 1361 +++++++++++++++++++++++ 2 files changed, 1575 insertions(+) create mode 100644 scripts/cleaning/meteo/audit/quality.py create mode 100644 tardis_meteo_eda.ipynb diff --git a/scripts/cleaning/meteo/audit/quality.py b/scripts/cleaning/meteo/audit/quality.py new file mode 100644 index 0000000..1f520cb --- /dev/null +++ b/scripts/cleaning/meteo/audit/quality.py @@ -0,0 +1,214 @@ +from __future__ import annotations + +import pandas as pd + +from .tracker import AuditReport + +_DEFAULT_DIST_COLS = [ + "RR", # precipitation (mm) + "TN", # min temperature (°C) + "TX", # max temperature (°C) + "TM", # mean temperature (°C) + "TAMPLI", # diurnal temperature range (°C) + "FFM", # mean wind speed (m/s) + "FXY", # max wind gust (m/s) + "PMERM", # mean sea-level pressure (hPa) + "UN", # min relative humidity (%) + "UX", # max relative humidity (%) + "INST", # sunshine duration (h) + "GLOT", # global radiation (J/cm²) + "temp_amplitude", # engineered feature +] + + +def check_completeness(df: pd.DataFrame, report: AuditReport) -> float: + total_cells = df.shape[0] * df.shape[1] + null_cells = int(df.isnull().sum().sum()) + completeness = round(1 - null_cells / total_cells, 4) + col_completeness = (1 - df.isnull().mean()).sort_values() + + report.add("overall_completeness", completeness, "quality_score", + "Non-null cells / total cells (1.0 = fully complete)") + for col in df.columns: + rate = round(float(1 - df[col].isnull().mean()), 4) + report.add(f"completeness__{col}", rate, "completeness_per_column", col) + + print( + f"Overall completeness : {completeness:.2%}" + f" ({total_cells - null_cells:,} / {total_cells:,} cells non-null)" + ) + print("\nLeast complete columns:") + for col, rate in col_completeness.head(5).items(): + bar = "░" * int((1 - rate) * 30) + print(f" {rate:>6.1%} {bar} {col}") + print("\nMost complete columns:") + for col, rate in col_completeness.tail(5).items(): + print(f" {rate:>6.1%} {col}") + return completeness + + +def check_distributions( + df: pd.DataFrame, + report: AuditReport, + dist_cols: list[str] | None = None, +) -> pd.DataFrame: + if dist_cols is None: + dist_cols = _DEFAULT_DIST_COLS + + stat_rows = [] + for col in dist_cols: + if col not in df.columns: + continue + s = df[col].dropna() + if s.empty: + continue + row = { + "column": col, + "n": len(s), + "mean": round(float(s.mean()), 3), + "std": round(float(s.std()), 3), + "min": round(float(s.min()), 3), + "p25": round(float(s.quantile(0.25)), 3), + "median": round(float(s.median()), 3), + "p75": round(float(s.quantile(0.75)), 3), + "max": round(float(s.max()), 3), + } + stat_rows.append(row) + for stat, val in row.items(): + if stat == "column": + continue + report.add(f"dist__{col}__{stat}", val, "numeric_distribution", col) + + stats_df = pd.DataFrame(stat_rows).set_index("column") if stat_rows else pd.DataFrame() + if not stats_df.empty: + print(stats_df.to_string()) + return stats_df + + +def check_outliers( + df: pd.DataFrame, report: AuditReport +) -> list[tuple[str, int, float]]: + outlier_cols = [ + c + for c in df.select_dtypes(include="number").columns + if c not in ("year", "month", "NUM_POSTE", "AAAAMMJJ") + ] + outlier_rows: list[tuple[str, int, float]] = [] + + for col in outlier_cols: + s = df[col].dropna() + if len(s) < 10 or s.std() == 0: + continue + z = (s - s.mean()) / s.std() + n_out = int((z.abs() > 3).sum()) + rate = round(n_out / len(df), 4) + outlier_rows.append((col, n_out, rate)) + report.add( + f"outlier_rate__{col}", + rate, + "outlier_analysis", + f"{n_out} values |z|>3 out of {len(df)} rows", + ) + + outlier_rows.sort(key=lambda x: -x[2]) + print(f'{"Column":<40} {"N outliers":>10} {"Rate":>7}') + print("─" * 65) + for col, n, rate in outlier_rows: + bar = "█" * min(int(rate * 300), 30) + print(f"{col:<40} {n:>10,} {rate:>6.2%} {bar}") + return outlier_rows + + +def check_validity(df: pd.DataFrame, report: AuditReport) -> dict[str, int]: + checks: dict[str, int] = {} + + # Temperature consistency + if "TN" in df.columns and "TX" in df.columns: + both = df[["TN", "TX"]].dropna() + checks["tn_le_tx"] = int((both["TN"] <= both["TX"]).all()) + + # Precipitation non-negative + if "RR" in df.columns: + checks["rr_non_negative"] = int((df["RR"].dropna() >= 0).all()) + + # Wind speed non-negative + for wcol in ["FFM", "FXY", "FXI"]: + if wcol in df.columns: + checks[f"{wcol.lower()}_non_negative"] = int((df[wcol].dropna() >= 0).all()) + + # Humidity in [0, 100] + for hcol in ["UN", "UX", "UM"]: + if hcol in df.columns: + checks[f"{hcol.lower()}_in_0_100"] = int( + df[hcol].dropna().between(0, 100).all() + ) + + # Sane temperature range [-60, 60] + if "TM" in df.columns: + checks["tm_range_sane"] = int( + (df["TM"].dropna().between(-60, 60)).all() + ) + + # Pressure range [900, 1100] hPa + if "PMERM" in df.columns: + checks["pmerm_range_sane"] = int( + (df["PMERM"].dropna().between(900, 1100)).all() + ) + + # Date range + if "date" in df.columns: + checks["date_range_sane"] = int( + (df["date"] >= "1950-01-01").all() and (df["date"] <= "2026-12-31").all() + ) + + # No fully null rows + checks["no_fully_null_rows"] = int(df.isnull().all(axis=1).sum() == 0) + + all_passed = sum(checks.values()) + for k, v in checks.items(): + report.add(f"validity__{k}", v, "validity_checks", "1=pass 0=fail") + report.add("validity_checks_passed", all_passed, "validity_checks", + f"{all_passed}/{len(checks)} checks passed") + report.add("validity_checks_total", len(checks), "validity_checks", + "Total validity rules evaluated") + + print("Validity checks:") + for k, v in checks.items(): + print(f' {"✓" if v else "✗"} {k}') + print(f"\n{all_passed}/{len(checks)} checks passed") + return checks + + +def check_effectiveness(df: pd.DataFrame, report: AuditReport) -> dict: + total_corrections = sum( + report.get(m) + for m in [ + "values_fixed_negative", + "values_fixed_humidity_bounds", + "values_fixed_temp_consistency", + ] + ) + total_recovered = report.get("values_recovered_interpolation") + total_cells_final = df.shape[0] * df.shape[1] + correction_rate = round(total_corrections / max(total_cells_final, 1), 6) + initial_null = report.get("initial_null_total") + recovery_vs_null = round(total_recovered / max(initial_null, 1), 4) + + report.add_many( + [ + {"metric": "total_corrections", "value": total_corrections, "category": "pipeline_effectiveness", "reason": "Negative + humidity-bounds + temperature-consistency fixes"}, + {"metric": "total_recovered_cells", "value": total_recovered, "category": "pipeline_effectiveness", "reason": "Cells recovered by linear interpolation within station"}, + {"metric": "correction_rate_per_cell", "value": correction_rate, "category": "pipeline_effectiveness", "reason": "Corrections / total final cells — data noise density"}, + {"metric": "recovery_vs_initial_null", "value": recovery_vs_null, "category": "pipeline_effectiveness", "reason": "Recovered / initial null count — interpolation coverage"}, + ] + ) + print(f"Total corrections : {total_corrections:,}") + print(f"Total recovered : {total_recovered:,}") + print(f"Correction rate : {correction_rate:.4%} of all cells") + print(f"Recovery vs nulls : {recovery_vs_null:.1%} of initial nulls recovered by interpolation") + return { + "total_corrections": total_corrections, + "total_recovered": total_recovered, + "correction_rate": correction_rate, + "recovery_vs_null": recovery_vs_null, + } diff --git a/tardis_meteo_eda.ipynb b/tardis_meteo_eda.ipynb new file mode 100644 index 0000000..be6ce58 --- /dev/null +++ b/tardis_meteo_eda.ipynb @@ -0,0 +1,1361 @@ +{ + "nbformat": 4, + "nbformat_minor": 5, + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.12.0" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": "# TARDIS — Météo-France Weather Data: Cleaning & Exploration\n\nThis notebook prepares two Météo-France daily observation datasets for downstream modelling, then explores key meteorological patterns.\n\n---\n\n## Datasets\n\n### `RR-T-Vent` — precipitation, temperature, wind\nEach row = **one day of measurements at one station**:\n- **Station** — `NUM_POSTE` (code), `NOM_USUEL` (name), `LAT`, `LON`, `ALTI`\n- **Date** — `AAAAMMJJ` (integer YYYYMMDD)\n- **Precipitation** — `RR` (mm/day), `DRR` (duration)\n- **Temperature** — `TN` (min), `TX` (max), `TM` (mean), `TAMPLI` (diurnal range), `TNSOL`, `TN50`\n- **Wind** — `FFM` (mean), `FF2M`, gusts `FXY`/`FXI`/`FXI2`/`FXI3S`, directions `DXY`/`DXI`\n- Each variable has a matching quality flag (`Q*`): **0** = suspicious, **1** = valid, **9** = unchecked\n\n### `autres-paramètres` — complementary sensor data\n- **Pressure** — `PMERM` (mean sea-level), `PMERMIN`\n- **Radiation & sunshine** — `GLOT`, `DIFT`, `DIRT`, `INFRART`, `UV`, `INST` (hours), `SIGMA`\n- **Humidity** — `UN` (min %), `UX` (max %), `UM` (mean %), `DHUMI40`, `DHUMI80`\n- **Snow & ice** — `HNEIGEF`, `NEIGETOTX`, `NEIGETOT06`\n- **Weather phenomena** (binary flags) — `NEIG` (snow), `BROU` (fog), `ORAG` (thunderstorm), `GRELE` (hail), `VERGLAS` (ice), `GELEE` (frost), `ROSEE` (dew), `SOLNEIGE` (snow on ground)\n\nSource: [data.gouv.fr — Données climatologiques de base quotidiennes](https://www.data.gouv.fr/fr/datasets/donnees-climatologiques-de-base-quotidiennes/)\n\n---\n\n## How this notebook works\n\nAll data cleaning is handled automatically by `Pipeline` (streaming, one département at a time — never more than ~500 MB RAM). The notebook:\n1. Runs the pipeline once and saves the result to `data/processed/meteo/cleaned_meteo_dataset.csv`\n2. Loads that file on every subsequent run (skips the pipeline)\n3. Applies a **global column filter** — drops any column below 60% completeness\n4. Runs a **quality audit** to document what the pipeline produced\n5. Explores the data through **14 visualisations**\n\n| Section | What happens |\n|---------|-------------|\n| **1 — Imports** | Load libraries and internal modules |\n| **2 — Pipeline + load** | Run cleaning (if needed) and load the output CSV |\n| **2.1 — Column filter** | Drop columns with < 60% non-null values globally |\n| **3 — Audit** | Completeness, distributions, outliers, validity checks |\n| **4 — Export** | Save the audit report to CSV |\n| **5 — EDA (M1–M14)** | Visualise temperature, precipitation, wind, phenomena, trends, geography |\n| **6 — Pre-conclusion (P1–P6)** | Station ranking, year × month patterns, seasonal summaries |\n\n> **Run cells top to bottom.** Each section depends on the result of the previous one.", + "id": "ee5dd118f6976cb5" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 1 — Imports\n\n```\npandas → dataframe manipulation and CSV I/O\nmatplotlib → base plotting engine\nseaborn → statistical visualisations (box plots, heatmaps, KDE)\nhuggingface → automatic data download from HuggingFace Datasets\n```\n\nInternal modules live under `scripts/cleaning/meteo/` and are imported as `pkg.*`:\n\n| Module | Role |\n|--------|------|\n| `pkg.loading` | Reads raw CSV index files, loads and concatenates station files |\n| `pkg.merging` | Joins `RR-T-Vent` and `autres-paramètres` on `NUM_POSTE + AAAAMMJJ` |\n| `pkg.cleaning` | All cleaning transforms: quality flags, dedup, NaN handling, type fixes, interpolation |\n| `pkg.features` | Derives new columns: year/month/season, temperature amplitude, wind & precipitation categories |\n| `pkg.audit` | Computes and records data quality metrics |\n| `pkg.visualization.cleaning_plots` | Charts related to the cleaning pipeline |\n| `pkg.visualization.eda_plots` | Exploratory data analysis charts |\n\n> Météo-France quality codes: **1** = valid, **0** = suspicious (→ set to NaN), **9** = unchecked (→ left as-is).", + "id": "eed81a28739dd190" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:20.944377547Z", + "start_time": "2026-05-25T22:41:20.898124312Z" + } + }, + "source": "import os\nimport gc\nimport matplotlib.pyplot as plt\nimport matplotlib.patches as mpatches\nimport pandas as pd\nfrom pathlib import Path\nfrom huggingface_hub import snapshot_download", + "id": "f9cc5b150d0b68e3", + "outputs": [], + "execution_count": 96 + }, + { + "cell_type": "markdown", + "id": "0e7206e8", + "source": "**Project modules** — one alias per pipeline component, all living under `scripts/cleaning/meteo/`.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "ff941fee", + "source": "from scripts.cleaning import meteo as pkg\n\naudit = pkg.audit\ncleaning = pkg.cleaning\nfeatures = pkg.features\nloading = pkg.loading\nmerging = pkg.merging\ncplots = pkg.visualization.cleaning_plots\neplots = pkg.visualization.eda_plots", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:20.991120121Z", + "start_time": "2026-05-25T22:41:20.945708638Z" + } + }, + "outputs": [], + "execution_count": 97 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data download\n", + "\n", + "The raw data is hosted on [HuggingFace Datasets](https://huggingface.co/datasets/sacha-lma/Tardis-data). The block below downloads it automatically into `data/` if the folder does not yet exist. If the data is already present locally, the download is skipped.\n", + "\n", + "> The repository contains the meteorological CSV files under `data/raw/meteo/`, together with two index files — `meteo_raw_vent_source_files.txt` and `meteo_raw_parametres_source_files.txt` — that list one filename per line. These index files are the inputs to the loading functions." + ], + "id": "c48236bef02ca1c5" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:21.044858096Z", + "start_time": "2026-05-25T22:41:20.996389490Z" + } + }, + "source": [ + "if not Path(\"data\").exists():\n", + " snapshot_download(\n", + " repo_id=\"sacha-lma/Tardis-data\",\n", + " repo_type=\"dataset\",\n", + " local_dir=\"data\",\n", + " )" + ], + "id": "5f6a92cdf07ea779", + "outputs": [], + "execution_count": 98 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### Audit report — initialisation\n\n`AuditReport` accumulates quality metrics throughout the notebook. Each cleaning and audit step appends `(metric, value, category, reason)` entries to it. The full set is written to `cleaning_meteo_report.csv` at section 4.\n\nThink of it as a structured log: every number you see in the audit section is also persisted to disk and can be compared across pipeline runs.", + "id": "ab27e65b31a4d1ec" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:21.091826237Z", + "start_time": "2026-05-25T22:41:21.046111008Z" + } + }, + "source": [ + "report = audit.AuditReport()" + ], + "id": "8517c5b231c9cf69", + "outputs": [], + "execution_count": 99 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:21.155623301Z", + "start_time": "2026-05-25T22:41:21.093169183Z" + } + }, + "source": "OUTPUT = \"data/processed/meteo/cleaned_meteo_dataset.csv\"\nRPT_PATH = \"data/processed/audit/cleaning_meteo_report.csv\"\n\nif not os.path.exists(OUTPUT):\n from scripts.cleaning.meteo.pipeline import Pipeline\n Pipeline(\n data_vent_path=\"data/raw/meteo/meteo_raw_vent_source_files.txt\",\n data_parameter_path=\"data/raw/meteo/meteo_raw_parametres_source_files.txt\",\n output_path=OUTPUT,\n report_path=RPT_PATH,\n ).run()\nelse:\n print(f\"Output already exists — loading directly: {OUTPUT}\")", + "id": "109031aa7f493127", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Output already exists — loading directly: data/processed/meteo/cleaned_meteo_dataset.csv\n" + ] + } + ], + "execution_count": 100 + }, + { + "cell_type": "markdown", + "id": "05f278dd", + "source": "**Load the cleaned dataset**\n\n`pd.read_csv` reads everything back as plain strings. Three columns need explicit re-casting after load:\n\n- **`date`** → `datetime64` so `.dt` accessors work in the EDA plots\n- **`year`** → `Int16` (nullable 16-bit integer, ~4× smaller than default `int64`)\n- **`month`** → `Int8` (nullable 8-bit integer)", + "metadata": {} + }, + { + "cell_type": "code", + "id": "4f368987", + "source": "df = pd.read_csv(OUTPUT, low_memory=False)\n\ndf[\"date\"] = pd.to_datetime(df[\"date\"], errors=\"coerce\")\nfor _col, _dtype in [(\"year\", \"Int16\"), (\"month\", \"Int8\")]:\n if _col in df.columns:\n df[_col] = df[_col].astype(_dtype)\n\n_original_rows = len(df)\n_original_cols = df.shape[1]\nprint(f\"Loaded : {_original_rows:,} rows × {_original_cols} columns\")\nprint(f\"date : {df['date'].dtype}\")\nprint(f\"Columns : {df.columns.tolist()}\")", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:28.334842192Z", + "start_time": "2026-05-25T22:41:21.157902031Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded : 2,218,180 rows × 75 columns\n", + "date : datetime64[us]\n", + "Columns : ['NUM_POSTE', 'NOM_USUEL', 'LAT', 'LON', 'ALTI', 'AAAAMMJJ', 'RR', 'TN', 'HTN', 'TX', 'HTX', 'TM', 'TNTXM', 'TAMPLI', 'TNSOL', 'TN50', 'DG', 'FFM', 'FF2M', 'FXY', 'DXY', 'HXY', 'FXI', 'DXI', 'HXI', 'FXI2', 'DXI2', 'HXI2', 'FXI3S', 'DXI3S', 'HXI3S', 'DRR', 'STATUS_FXI3S', 'STATUS_DXI3S', 'DHUMEC', 'PMERM', 'PMERMIN', 'INST', 'GLOT', 'DIFT', 'DIRT', 'INFRART', 'UV', 'UV_INDICEX', 'SIGMA', 'UN', 'HUN', 'UX', 'HUX', 'UM', 'DHUMI40', 'DHUMI80', 'TSVM', 'ETPMON', 'ETPGRILLE', 'ECOULEMENTM', 'HNEIGEF', 'NEIGETOTX', 'NEIGETOT06', 'NEIG', 'BROU', 'ORAG', 'GRESIL', 'GRELE', 'ROSEE', 'VERGLAS', 'SOLNEIGE', 'GELEE', 'date', 'year', 'month', 'season', 'temp_amplitude', 'wind_category', 'precip_category']\n" + ] + } + ], + "execution_count": 101 + }, + { + "cell_type": "markdown", + "id": "b745cfe5", + "source": "### 2.1 — Column completeness filter\n\nAny column where **fewer than 60% of values are present** is dropped before analysis begins.\n\n**Why:** in a national weather dataset built from ~1 500 stations with different sensor equipment, some columns are structurally sparse — not because of data quality issues, but because most stations simply don't have that sensor. Keeping those columns would inflate the NaN count, distort completeness statistics, and add noise to downstream models with very little signal.\n\n| Completeness | Decision |\n|-------------|---------|\n| ≥ 60% | **Retained** — enough observations across the network to be useful |\n| < 60% | **Dropped** — too sparse; the majority of station-days have no value at all |\n\n**Always protected** (never dropped regardless of completeness): `NUM_POSTE`, `NOM_USUEL`, `LAT`, `LON`, `ALTI`, `date`, `year`, `month`, `season`.\n\nThe chart below shows the completeness of every column before the filter is applied. Columns in **red** are dropped; columns in **green** are kept.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "4f41a110", + "source": [ + "THRESHOLD = 0.05\n", + "completeness_before = df.notna().mean().sort_values()\n", + "\n", + "df, dropped_cols = cleaning.drop_sparse_columns(df, threshold=THRESHOLD)\n", + "\n", + "print(f\"Columns retained : {df.shape[1]}\")\n", + "print(f\"Columns dropped : {len(dropped_cols)}\")\n", + "if dropped_cols:\n", + " print(f\" → {', '.join(dropped_cols)}\")" + ], + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:28.788488753Z", + "start_time": "2026-05-25T22:41:28.383569294Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "drop_sparse_columns: removed 25 column(s) (< 5% complete)\n", + " Dropped: TNSOL, TN50, FF2M, FXI2, DXI2, HXI2…\n", + "Columns retained : 50\n", + "Columns dropped : 25\n", + " → TNSOL, TN50, FF2M, FXI2, DXI2, HXI2, DRR, DHUMEC, PMERM, PMERMIN, INST, GLOT, DIFT, DIRT, INFRART, UV, UV_INDICEX, SIGMA, ETPMON, ECOULEMENTM, GRESIL, ROSEE, VERGLAS, SOLNEIGE, GELEE\n" + ] + } + ], + "execution_count": 102 + }, + { + "cell_type": "markdown", + "id": "5edee092", + "source": "**Completeness chart** — each bar shows the fraction of non-null values for one column. The dashed line is the 60% threshold; bars in red were removed, bars in green are kept.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "36e236e5", + "source": "fig, ax = plt.subplots(figsize=(14, max(6, len(completeness_before) * 0.28)))\ncolors = [\"#d73027\" if col in dropped_cols else \"#1a9641\"\n for col in completeness_before.index]\nax.barh(completeness_before.index, completeness_before.values * 100, color=colors)\nax.axvline(THRESHOLD * 100, color=\"black\", linewidth=1.8, linestyle=\"--\")\nax.text(THRESHOLD * 100 + 0.5, 0.5, f\"Threshold {THRESHOLD:.0%}\", va=\"bottom\", fontsize=9)\nax.set_xlabel(\"Completeness (%)\")\nax.set_title(\"Column completeness — red = dropped, green = retained\")\nax.legend(handles=[\n mpatches.Patch(color=\"#1a9641\", label=\"Retained\"),\n mpatches.Patch(color=\"#d73027\", label=\"Dropped\"),\n], loc=\"lower right\")\nplt.tight_layout()\nplt.show()", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:29.168811534Z", + "start_time": "2026-05-25T22:41:28.789892971Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 103 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 3 — Data quality audit\n\nFive checks that measure the quality of the cleaned dataset. **None of these modify the data** — they document it. All results feed into the audit report exported at section 4.\n\n| Sub-section | Question answered |\n|-------------|-------------------|\n| **3.1 Completeness** | What fraction of cells actually have a value? |\n| **3.2 Distributions** | Do the numerical ranges make physical sense? |\n| **3.3 Outlier rates** | What fraction of values are statistical extremes (|z| > 3)? |\n| **3.4 Validity checks** | Do hard physical rules hold everywhere? (TN ≤ TX, RR ≥ 0, …) |\n\n> These numbers are evidence that the pipeline worked correctly. A failed validity check (0) means a cleaning step didn't fully correct an issue and warrants investigation.", + "id": "3d29c556030fce36" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "#### 3.1 — Completeness\n\n**What it measures:** the fraction of non-null cells in the retained dataset, overall and per column.\n\nNote: columns below 60% completeness were already removed in section 2.1, so all columns shown here have passed the threshold. The five least-complete columns indicate which sensors have the lowest deployment rate across stations — structural missingness, not a data quality problem.", + "id": "ab9cfb249fe61982" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:29.484208895Z", + "start_time": "2026-05-25T22:41:29.171498055Z" + } + }, + "source": [ + "audit.check_completeness(df, report)" + ], + "id": "1d2e596eaf044a7b", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overall completeness : 35.74% (39,638,327 / 110,909,000 cells non-null)\n", + "\n", + "Least complete columns:\n", + " 5.3% ░░░░░░░░░░░░░░░░░░░░░░░░░░░░ NEIG\n", + " 7.1% ░░░░░░░░░░░░░░░░░░░░░░░░░░░ HNEIGEF\n", + " 7.2% ░░░░░░░░░░░░░░░░░░░░░░░░░░░ HXI3S\n", + " 7.2% ░░░░░░░░░░░░░░░░░░░░░░░░░░░ HXY\n", + " 7.2% ░░░░░░░░░░░░░░░░░░░░░░░░░░░ DHUMI80\n", + "\n", + "Most complete columns:\n", + " 100.0% LON\n", + " 100.0% date\n", + " 100.0% year\n", + " 100.0% season\n", + " 100.0% month\n" + ] + }, + { + "data": { + "text/plain": [ + "0.3574" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 104 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "#### 3.2 — Numeric distributions\n\n**What it measures:** count, mean, std, quartiles, min, and max for the most important meteorological columns.\n\nThis verifies that cleaning did not distort natural distributions. Key things to check:\n- `TN` should always be less than `TX` (enforced by the pipeline's consistency fix)\n- `RR` should have no negative values (physically impossible)\n- `PMERM` should sit in the range 950–1060 hPa (normal atmospheric pressure range)", + "id": "f364b77d5424e461" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:29.858866818Z", + "start_time": "2026-05-25T22:41:29.489620935Z" + } + }, + "source": [ + "audit.check_distributions(df, report)" + ], + "id": "d69a4b3f5536931e", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " n mean std min p25 median p75 max\n", + "column \n", + "RR 2212345 2.656 6.085 0.00 0.0 0.0 2.5 180.0\n", + "TN 931434 5.900 6.240 -32.10 1.3 6.0 10.6 26.1\n", + "TX 917831 15.275 8.364 -14.70 9.0 15.1 21.6 43.0\n", + "TM 271276 10.760 6.959 -18.60 5.6 10.8 16.1 32.6\n", + "TAMPLI 915467 9.350 4.781 0.00 5.5 8.9 12.9 31.0\n", + "FFM 207339 3.017 1.820 0.00 1.7 2.7 4.0 16.6\n", + "FXY 166447 5.993 2.578 0.00 4.0 5.7 7.4 28.0\n", + "UN 224429 59.198 18.632 7.00 45.0 58.0 73.0 100.0\n", + "UX 224382 95.231 5.769 32.00 94.0 97.0 99.0 100.0\n", + "temp_amplitude 916953 9.351 4.780 -1.75 5.5 8.9 12.9 31.0\n" + ] + }, + { + "data": { + "text/plain": [ + " n mean std min p25 median p75 max\n", + "column \n", + "RR 2212345 2.656 6.085 0.00 0.0 0.0 2.5 180.0\n", + "TN 931434 5.900 6.240 -32.10 1.3 6.0 10.6 26.1\n", + "TX 917831 15.275 8.364 -14.70 9.0 15.1 21.6 43.0\n", + "TM 271276 10.760 6.959 -18.60 5.6 10.8 16.1 32.6\n", + "TAMPLI 915467 9.350 4.781 0.00 5.5 8.9 12.9 31.0\n", + "FFM 207339 3.017 1.820 0.00 1.7 2.7 4.0 16.6\n", + "FXY 166447 5.993 2.578 0.00 4.0 5.7 7.4 28.0\n", + "UN 224429 59.198 18.632 7.00 45.0 58.0 73.0 100.0\n", + "UX 224382 95.231 5.769 32.00 94.0 97.0 99.0 100.0\n", + "temp_amplitude 916953 9.351 4.780 -1.75 5.5 8.9 12.9 31.0" + ], + "text/html": [ + "
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RR22123452.6566.0850.000.00.02.5180.0
TN9314345.9006.240-32.101.36.010.626.1
TX91783115.2758.364-14.709.015.121.643.0
TM27127610.7606.959-18.605.610.816.132.6
TAMPLI9154679.3504.7810.005.58.912.931.0
FFM2073393.0171.8200.001.72.74.016.6
FXY1664475.9932.5780.004.05.77.428.0
UN22442959.19818.6327.0045.058.073.0100.0
UX22438295.2315.76932.0094.097.099.0100.0
temp_amplitude9169539.3514.780-1.755.58.912.931.0
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" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 105 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "#### 3.3 — Outlier rates\n\n**What it measures:** for each numeric column, the fraction of values more than **3 standard deviations** from the column mean (|z-score| > 3).\n\nA high outlier rate is not always bad — extreme weather events (storms, cold snaps, heat waves) are real and should remain in the data. But a rate above ~5% on a non-skewed variable is suspicious and may indicate sensor faults that the quality flag system missed.", + "id": "a09bb52738b01396" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:30.558463992Z", + "start_time": "2026-05-25T22:41:29.921194730Z" + } + }, + "source": [ + "outlier_rows = audit.check_outliers(df, report)" + ], + "id": "8c91c42611a976d3", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Column N outliers Rate\n", + "─────────────────────────────────────────────────────────────────\n", + "ALTI 72,123 3.25% █████████\n", + "BROU 58,626 2.64% ███████\n", + "RR 50,499 2.28% ██████\n", + "ORAG 35,001 1.58% ████\n", + "HUN 8,808 0.40% █\n", + "DG 8,436 0.38% █\n", + "HTX 6,872 0.31% \n", + "DHUMI40 5,455 0.25% \n", + "UX 4,950 0.22% \n", + "NEIGETOTX 4,508 0.20% \n", + "NEIGETOT06 4,501 0.20% \n", + "GRELE 3,686 0.17% \n", + "TN 2,894 0.13% \n", + "HNEIGEF 2,661 0.12% \n", + "FFM 2,546 0.11% \n", + "FXI 2,233 0.10% \n", + "FXI3S 1,946 0.09% \n", + "FXY 1,693 0.08% \n", + "UM 1,067 0.05% \n", + "TNTXM 996 0.04% \n", + "TAMPLI 939 0.04% \n", + "ETPGRILLE 962 0.04% \n", + "temp_amplitude 942 0.04% \n", + "TX 246 0.01% \n", + "TM 185 0.01% \n", + "STATUS_DXI3S 115 0.01% \n", + "TSVM 253 0.01% \n", + "LAT 0 0.00% \n", + "LON 0 0.00% \n", + "HTN 0 0.00% \n", + "DXY 0 0.00% \n", + "HXY 0 0.00% \n", + "DXI 0 0.00% \n", + "HXI 0 0.00% \n", + "DXI3S 0 0.00% \n", + "HXI3S 0 0.00% \n", + "STATUS_FXI3S 0 0.00% \n", + "UN 0 0.00% \n", + "HUX 0 0.00% \n", + "DHUMI80 0 0.00% \n", + "NEIG 0 0.00% \n" + ] + } + ], + "execution_count": 106 + }, + { + "cell_type": "markdown", + "id": "e99a2fdd", + "source": "Outlier rates per column — the bar chart makes high-rate columns immediately visible. The red dashed line marks the 5% warning threshold.", + "metadata": {} + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:30.997730146Z", + "start_time": "2026-05-25T22:41:30.836131521Z" + } + }, + "source": [ + "cplots.plot_outlier_rates(outlier_rows)" + ], + "id": "9ed080d43385e67d", + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 107 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "#### 3.4 — Validity checks\n\n**What it measures:** binary assertions on physical and logical invariants that must hold after a correct cleaning pipeline.\n\n| Check | Why it matters |\n|-------|----------------|\n| `tn_le_tx` | Minimum temperature ≤ maximum temperature — a basic physical law |\n| `rr_non_negative` | Precipitation cannot be negative |\n| `ffm/fxy/fxi_non_negative` | Wind speed cannot be negative |\n| `un/ux/um_in_0_100` | Relative humidity is a percentage — must be 0–100 |\n| `tm_range_sane` | Mean temperature within −60 °C to +60 °C |\n| `pmerm_range_sane` | Sea-level pressure within 900–1100 hPa |\n| `date_range_sane` | All dates between 1950 and 2026 |\n| `no_fully_null_rows` | No row where every single value is missing |\n\nA result of **1 = pass, 0 = fail**. All 12 checks should pass after a clean pipeline run.", + "id": "e79b97fbf248d566" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:31.344109737Z", + "start_time": "2026-05-25T22:41:31.164238612Z" + } + }, + "source": [ + "checks = audit.check_validity(df, report)" + ], + "id": "5d91982e4c6dbc2", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Validity checks:\n", + " ✓ tn_le_tx\n", + " ✓ rr_non_negative\n", + " ✓ ffm_non_negative\n", + " ✓ fxy_non_negative\n", + " ✓ fxi_non_negative\n", + " ✓ un_in_0_100\n", + " ✓ ux_in_0_100\n", + " ✓ um_in_0_100\n", + " ✓ tm_range_sane\n", + " ✓ date_range_sane\n", + " ✓ no_fully_null_rows\n", + "\n", + "11/11 checks passed\n" + ] + } + ], + "execution_count": 108 + }, + { + "cell_type": "markdown", + "id": "6d55d3fe", + "source": "Each check is shown as a green tick or red cross. All 12 must pass for the dataset to be considered clean.", + "metadata": {} + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:31.437655120Z", + "start_time": "2026-05-25T22:41:31.345186938Z" + } + }, + "source": [ + "cplots.plot_validity_checks(checks)" + ], + "id": "b6bb94a0385e305b", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 109 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 4 — Export — audit report\n\nSaves all audit metrics accumulated during section 3 to `cleaning_meteo_report.csv`. The file is a flat list of `(metric, value, category, reason)` rows and can be compared across pipeline runs to detect regressions in data quality.", + "id": "ac938bc3c2d276bd" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:31.586038995Z", + "start_time": "2026-05-25T22:41:31.442100607Z" + } + }, + "source": "report.record_final_state(df, original_rows=_original_rows)\nos.makedirs(os.path.dirname(os.path.abspath(RPT_PATH)), exist_ok=True)\nreport.export(RPT_PATH)", + "id": "a2a27edfe07a7c3c", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Report saved: 189 entries → data/processed/audit/cleaning_meteo_report.csv\n", + "category\n", + "numeric_distribution 80\n", + "completeness_per_column 50\n", + "outlier_analysis 41\n", + "validity_checks 13\n", + "final_state 4\n", + "quality_score 1\n" + ] + } + ], + "execution_count": 110 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "### 5 — Exploratory Data Analysis (EDA)\n\nThe dataset is now cleaned, filtered, and audited. This section visualises the key meteorological patterns across all stations and the full available time range.\n\n**Why this matters for TARDIS:** the goal is to link weather conditions to train punctuality. To build that link, we first need to understand what the weather data looks like — its distributions, seasonal structure, geographic patterns, and long-term trends. These plots establish the baseline.\n\nPlots are grouped into two parts:\n- **M1–M14** — core distributions and trends (temperature, precipitation, wind, phenomena, sunshine, humidity, geography)\n- **P1–P6** — pre-conclusion summaries connecting patterns to the modelling goal", + "id": "c01fab1962c8d554" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**M1 — Daily temperature distributions (TN, TM, TX)**\n\nHistograms with KDE overlay for minimum (`TN`), mean (`TM`), and maximum (`TX`) daily temperature across all stations and dates.\n\n**What to look for:** three overlapping bell-shaped distributions shifted right relative to each other (TN < TM < TX), with long cold tails in winter. A bimodal shape would suggest a mix of very different climatic zones.", + "id": "de32401ce661a67b" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:36.937879936Z", + "start_time": "2026-05-25T22:41:31.588314150Z" + } + }, + "source": [ + "eplots.plot_temperature_distribution(df)" + ], + "id": "ffa28e0e108bda3a", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 111 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**M2 — Temperature by season (violin plot)**\n\nDistribution of daily mean temperature (`TM`) across the four seasons.\n\n**What to look for:** a clear ordering winter < spring/autumn < summer, with summer having a narrower spread (stable heat) and spring/autumn wider (rapidly changing conditions). Wide summer tails can indicate heat waves — relevant to rail buckling risk.", + "id": "3a2e22c5c1a17046" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:38.817818575Z", + "start_time": "2026-05-25T22:41:36.985318635Z" + } + }, + "source": [ + "eplots.plot_seasonal_temperature(df)" + ], + "id": "e43c568bb2e15ecb", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pochy/projects/tardis/scripts/cleaning/meteo/visualization/eda_plots.py:50: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.violinplot(x=\"season\", y=\"TM\", data=df,\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 112 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**M3 — Precipitation distribution and category breakdown**\n\nLeft: histogram of daily rainfall for rainy days only (RR > 0) on a log scale, revealing the heavy right tail. Right: pie chart of precipitation categories across all station-days (including dry days).\n\n**What to look for:** most rainy days are light (< 5 mm), but heavy events (> 20 mm) are the ones most likely to cause flooding and train disruptions. The log scale makes the tail visible.", + "id": "9458b3ef44b85c7e" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:41.532992022Z", + "start_time": "2026-05-25T22:41:38.865497037Z" + } + }, + "source": [ + "eplots.plot_precipitation_distribution(df)" + ], + "id": "1f95f303d45f1e2b", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 113 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**M4 — Wind speed distribution and category counts**\n\nLeft: histogram of daily mean wind speed (`FFM`, m/s). Right: count of station-days per wind category (calm → storm).\n\n**What to look for:** the majority of days should fall in \"calm\" to \"light\" range, with an exponentially decaying tail. Days in the \"storm\" category are rare but strongly associated with speed restrictions and overhead line damage on rail networks.", + "id": "578c7e5999b30580" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:42.557307385Z", + "start_time": "2026-05-25T22:41:41.589410893Z" + } + }, + "source": [ + "eplots.plot_wind_distribution(df)" + ], + "id": "30e6091fc41c19fe", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 114 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**M5 — Monthly mean temperature trend over time**\n\nMean temperature (`TM`) averaged across all active stations, plotted month by month from the earliest available year to the latest. The 12-month rolling mean smooths seasonal noise; the dashed line shows the overall average.\n\n**What to look for:** a long-term upward trend (climate warming), seasonal oscillations, and anomalous periods (heat waves, cold snaps). This is the primary signal for the TARDIS temporal modelling.", + "id": "a52d4cde22e56c8a" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:42.853931891Z", + "start_time": "2026-05-25T22:41:42.607690785Z" + } + }, + "source": [ + "eplots.plot_monthly_temperature_trend(df)" + ], + "id": "9297d6a9b3bf3933", + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 115 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**M6 — Correlation matrix**\n\nPearson correlations between key meteorological features, shown as a lower-triangle heatmap (red = positive correlation, blue = negative).\n\n**What to look for:**\n- `TN / TM / TX` strongly correlated with each other — as expected, they all measure temperature\n- `temp_amplitude` and `INST` positively correlated — clear days produce both more sunshine and a wider day/night temperature swing\n- `RR` and humidity columns — heavier rainfall correlates with higher humidity\n- `FFM / FXY / FXI` — mean and gust wind speeds move together", + "id": "9c26e3ac1ec26984" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:43.217224414Z", + "start_time": "2026-05-25T22:41:42.855235833Z" + } + }, + "source": [ + "eplots.plot_correlation_matrix(df)" + ], + "id": "cdd4d23aa6236c3", + "outputs": [ + { + "data": { + "text/plain": [ + "
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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 116 + }, + { + "cell_type": "markdown", + "id": "8111f015", + "source": "**M7 — Annual temperature anomaly**\n\nMean temperature per year relative to the 1961–1990 climatological baseline. Red bars = years warmer than the reference; blue = cooler. The 10-year rolling mean reveals the long-term warming trend beneath year-to-year noise.\n\n**What to look for:** an increasing dominance of red bars from the 1980s onward — the observational fingerprint of climate change in the French station network.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "ae1c1851", + "source": "eplots.plot_temperature_anomaly(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:43.413448258Z", + "start_time": "2026-05-25T22:41:43.220304604Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 117 + }, + { + "cell_type": "markdown", + "id": "c8670dfa", + "source": "**M8 — Station network geography**\n\nEach dot is one weather station placed at its actual latitude/longitude. Colour encodes mean temperature (blue = cold, red = warm); dot size is proportional to the number of records (larger = more data).\n\n**What to look for:** spatial gaps in the network (areas with few stations), the north–south temperature gradient, and whether the densest station clusters align with major rail corridors.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "ec7d56f3", + "source": "eplots.plot_station_map(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:43.650316003Z", + "start_time": "2026-05-25T22:41:43.417012679Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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pqcnw4cOz0korzfP7A1A5pgsBTeqJJ5/Mj7ffMQ888GBWW221HHzwr3PDDdelb58X86Mf/nCuxvjiDxStWrXKwgt3zfvvvZ+xY8dmzTXXbFBd399ii4wYMSJ33nlX3b7p06fnb3+7Jp06dZppmsDdd/+7Xljw/Aszfqu47DLLzNX7fXnRzueffyGtWrXK0kv3SJJsttlm6dq1a+68664ssvDCdVttTU369Xspm8zFb2Y//03nxhtvlGRGx8rLL7+SJ554IhtuuGGSGT8cfmOVVerqr6qqyuabb5b773+gXpjw0Ucf5Y4778yGG26QTp9NkfncdddfP9uAZZVvrJLbbrslQ4cOye577FmIgCVJJkyYkLf798811/w9++1/YE448aS0alWdq/921UyPpR4yZEiee+75HHPscdn/gANzww035rBDD8m+P99nju8xbtz4JMl3N9+8QU8iKsL3weTJkzNlypR8a5ONs9BCCzWopi9a+LPP/sv30RZbzJiq8ber63fa/PVLXR4Nub/nRiWuc6WVVsp5556T++67Pxd8IWjbZput8+BDD6aUUr1/Cx57/PEstNBCWXONNeY47o477pDFFlssa39z3RxwwEE5+6wzc9KJJ2THHXfMjjvtnBNOPGmu6hs0aFC9QCOZEQo9//wL+WTsJ/Vqe/Kpp2Z0qmw049+ebbfZJrW1tTnv/AtmO/7nf4dXXPnXevsv/yyI+cH3v/+V9Xx/iy3y4Ycj6gKWJPl08uRcd+11X3l9pVIpW225ZR588KF6AcuXfX+L76Vv3351AUuSTJo0Kdddd32WWWaZetM558WECRPqApZkxvo9L7308lz/N+VzYz/5ZJZTTwFoOjpZgCb38ssv54ADD0rr1q2z2mqrZeutt8qBBxyQK6+8PD/80VZ1rfmz065duxx6yMHZfffd0r1791RV/S8v7vLZWhbzaumle+S9996f6TeQ7wyYUcvSPerPqx82bFi915//0De3P2DN/PVjP/v6rkmSFZZfLklmWi/jc7Na0+bLRo0alYHvvpuNNtww1157XTbcaMM888yzee7553PWWWdmmWWWyUorrZjq6uq6QGbRRRdNhw4dMnDgwJnGe+edAamurs5SSy1Vt8hrMnNXwRf94+/XZOTIUdnz//aaq4UYW7duna5du37lebMybdq0uVpz5atUV1fnphtvyLPPPptTfvPbuv1PPvlkHn3k4fzqV7/MWWf/Pkmyw/bb589/+mM2/c5m+eCDGQux3nvvfamqqsrJJ5+UO++6q6774MuGDBmSy6+4Mr/8xUH5yU92yvPPv5AHHngwt91+e8aPH/+VdRbh+2Dq1Kk56+zf59Tf/iYvv9Q3ffv2y0MPPZRbbr0tI7+0js28+NJyH1l66R6pqanJ++8Pqrf/y/dxQ+7vudHY6+zUqVP+dtWV+fDDD3PY4UfUq7dr167Ze6+9svdee83yaxf9ivWNNttss5x/wYUZO3ZsHn/iiZx51tn54x9+n6233naW065mZ/CQmb/PV1h++ay+2mp57bVZhxKfr7207LLL5sMRI+b4/fm/v8P36+0fOXJkxo4dmx6fBdBzqmfppXvM9PXJjA6rr7LoooumS5cueWsO01iTGd1bffv1m2n/51PJll66xxynws7OBx98MNO+sZ98Um/9rLlRSqlBnTQAVI6QBWg206ZNy8svv5yXX3457777bi44/7z8eLtt5/jbziQ583dnZPfdd8tfr/pb+vTpk/Hjxqecci679JKUqpqmQa+mZtadG19e7HHev37G/37+A/Mhhx42yx/S5mbdlyR58YUXs+mm3067du2y1ppr5vzzL8hbb72dsWPHZqONNsxKK66YCRMm5LV5+GHry+Y0VeG/99yb3XfbNT/5yU65di5+m7z++uvltltvaVAdzzzzbHbZdbcGfe0XbbzxRll11W/k9NPPqLf/vffezzufTbv63D77/CyvvfZaXcDyufsfeDC7775b1lhjjTz55FOzfa8zzvhdbr75lmy55Y+y+Wab5Xe/Oz2HHHpwfvzj7Wca88uK8n1w1VV/y4MPPpStttoy39188xx77DE55JCDs9tue+S111+fp/cb89laPgst1PUrP5+m1pjrvOD889KtW7dsu+2PM2HChLr9n/87cOttt+WWW26d5de+8cabcxy7VEq9H7o/+OCDVFVV1XUFza1ZfZ+XSqU8/vgTufSyy2b5Ne/ORbjxZXMbELT0JwnN7jqqq6tnub+x/0353EJdF8p77703T18DQGUJWYAW4eWXZ/wmdIluS9Ttm93/Sd12221yyy235owzfle3r23btunSpUu98+blt3lDhw7Lqqt+I6VS/d8Cfv7EnaHD5m2BzsZ6/7PFTUePGj3HH9KTOV/n88+/kD322D07bL99qqur07t3n5TL5bz44ovZaMMNs9JKK6Z37z51031Gjx6dSZMmpVevXjONteKKK9bN+Z9bv/vdmamZPj2/P/usTJwwMXfceeccz3/jjTez+x57zvX4XzR2bGWmIi2+2OJJkqpZ/DDUulWrVLf63386F198sYydxRSo1q1nnFNd/dX/mX3rrbfy1ltv5cILL8r666+Xu++6M3vvvXfdmi5fh++DQYMG5YorrswVV1yZ5ZdfLg8+cH9+8YuDcuhhh8/TOAMGzOhAWaZnz7o1Sz6vu7q6Osstt2y9roUv38fzcn83pBugIdd5yMG/zlZbbZkDDjgoA77UYTN69OiMHz8+1VXVX/nvwOw8+eRTOeLww3LsccdnueWWzR//8PtcdtnlueCC87PPz/fNq6++2qBxkxnX27Fjh6+sbdCgQfnudzdP165dZ9vN8vnf4fLLL1+3CHcyoxuma9euGTZ02Cy/7stjrLLKKjPt79Vrha/82tGjR2fcuHH5xiy+/ouGDRuWXivM6v7pVVdDknwy9vOuri754rrHX+4GmxdfdU9WV1dnqSWXyoMPPNjg9wCg8azJAjSpTTb51iz3f3+L7yWp39Y9adKkLPSlHxiTpKa2dqbf7u2378/TqlX9H2gnTZrxZJeFunz1FJ6HH3kk3bp1yw7bb1+3r7q6Ovvt+/NMmDDhKxe+rLTHHns848aNy6GHHjLTdSWpN+f+82k4X/7hOvnfGhkHH/yrvPnmm3XTUJ5//oVsuum3s9Zaa9WdkyS1tbV5/PEn8qMf/bDeo0cXW2yx7LTjDnnhhRfr/ab9K5XLOfa44/Pf/96TCy447yvX3fnkk0/y5JNPNWhrzA+LXzTw3Rn34A47bF9v/5prrJFevXrltdf+15Xw7rvvZo3VV88KKyxf79wdd9ghNTU1efPN2XcZdOrUaabfar/55lupqalJ2y88srbI3wft27VL27b1H5/7/vuDMmHChLRp22Y2XzV7r7z6aqZMmZK1116r3v5HH300SbL/fvvV23/gAfvXez0v9/e8fG4Nvc7vfGfTHHfcsbnwor/MtAju5/Xec8+92WabrWcZHszN2hu33XZ7Rnz0Ufr0fiE333RjLr30svzuzLPyr3/9K3ffdUfO+fOfvnKM2fn3v/+T9ddfP5tvvvlMx7p06VJ3f//3nntSVVWVo448YrZjPfLII0mSAw+s/3f2i4NmPFXooYe/ekHxhx95JEsu2T3bbbdt3b727drlp3v9dA5fNUO5XM5999+fH/7wB/UeKz3zezyaddddJ+utt+7/3qN9+/z0pz/N4MGD66aafR6Ub/zZujTJjM6kn+71f19Zy+x8Ood/65MZi2m3b98uL/bu3eD3AKDxdLIATerM3/0u7du3y7333Z8BAwakTes2WX/99bL99j/O4MGDc9NN/1uD5JVXX813vrNpDjrowIz4cEQGDxmcfv1eykMPPZSdd/5Jxo0fl/7938n6662X73xn03z88cf13uv111/P9OnT8+uDf5XOXTpn6pSpeerppzN69OiZ6rruuuuz914/zfnnn5u11lozQ4YMybbbbpsNN9wwv/ntqfWeqNIUJkyYkBNPPDkXXXRB7r/v3tx1990ZPXp0evTokR98f4u8+GLvnHzKb5LM+JyS5He/Oz2PPfZ4amtqc9fddydJ3n///YwYMSIrrrhivcfvPvf88znllJOT/G+B3M/98U9/zmabfSd33nl7/vGPf6Zm+vTstddeadOmTc4866x5vpZyuZxDDj0sV199VS6//NLs/bN98vTTzzToc2msww+f8ZjrVT5bnHKXnXeuWwT4wgsvSpK8+uqrefzxJ7L7brumc6dOefyJJ9JtiSWy7777ZvLkybnqqqvqxrv0sivyve99L3fcfluu+fs/MmbMmPzg+9/P97+/Ra677vqMGDFitrVs+u1v58yzfpf//Oe/effdd9Oqujo777xzampq8t97/vfUoCJ/H6zQa4XcdNON+fe//5N3+vfP9JqabL3VVlliiSVy1113z9NYSTJlypQ88cQT+c53Nq33xJfXX38jd9xxZ37+833SuXPn9O7TJ5t++9tZ7rO1jb5obu/vefncGnqdl15ycUaPHp333nsvP/nJTvWOPfHEkxk1alTOOvv32WSTb+W//7k7111/ffr3fycLd+2aNdZcI9/Z9DtZfY2vXuT4pJNOzqmnnpaampq6rrXzL7gwl11+xSxD3Ll12WWX50c/+mH++Y9rcvPNt+SVV19Nhw4d8o1vfCPbbbtNNtroW/l4zJg888yzueXWW3PAAftn+eWXz2OPPZZSVVU22nDDPPPMM7nm7//IG2+8mZtuviV777VXFuqyUJ597rl885vfzO677Zp7772v3pOFZuf6667Pvvv+PBdecEHWWnPNjPjoo+yy885zfJT6F/3hD3/K5pttlttvuyXXXnd93nnnnXRbYolst9122XGnn2TcuHG5+OJLsuMO2+faf/0zV199TcaMHZvddt0lyyzTMwcc+Iu6bpP+/fund58+OfHEE+o6eHbYYfu0movuttl5f9CgjB07Nj/be69MnDAhkyZ9mr79+mXIZ+vTbLbZZpk0aVKeeOLJBr8HAI0nZAGa1Bm/OzM/3m7bfH+L72Wvn/5fWrdunWHDh+cf//hnLrjwonoLup5++hn50x//mOOPOzbt27fPTTffkn79Xspvf3taamtq85Oddkrbtm3z4ou9s/see+b6666t914jR47MCSecmEMOOSTnnvPntGrVKjvvsmuefXbmH5ImT56cnXfZLSefdGJ23XWXdOrUKQMHvpsjjjwqN9/csDVCGuuOO+/MhyM+zCEHH5xf/fIXadOmbT788MO88MILufELYdQ999ybv/3t6uyww/bZ+Sc/SVVVVV3IkszoZtn+xz+u9zSMV155NZMmTUp1dXX6fWkRx/79+2ennXbOiSeekEMPOThVVVXp269fDj3ssPTr91KDrmX69Ok56KBf5tp//TPXXP237L7Hng0eqzGOP+7Yeq/33HOPuj9/HrIkyb777Z9f/vIX2WH7H+d73/tupk6dmhdeeCF/+vM59bqtnn/++Wy/w045+qgjs8/P9s7CCy+cIUOG5Pd/+GMuvXTW61R87vU33sjjjz2eH/7gB+nevXs+nfxp3njjjey198/St+///k6K/H0wfPjw3HXnXdl0029nl51/kunTp2fAwIE56Be/zD333DvP4yXJDTfenKv+ekWWWmrJDB/+v8VCjzr6mIwePTo/+clO2WqrLfP008/kZz/bJ316v1jv6+f2/p6Xz62h17nooosmSS668IKZju28y64ZNWpURo0alW22/XGOOvKIbLP11tnnZz/LmDFj0r9//5x19tlz/blNmzZtpn2NXdfk08mT85Odd81hhx2a7bbbNrvssnMmTJiQd999N+ece17GfWEB5yOPPDpvvvFW9txz95xyyskZP358Xn75lfTu3afunGOOOTaDBw3Kbrvtmq222jIjR47MRX+5OOedd/5c17P7bnvkzDN/l/322zeffvppbr/jjjzyyGO54fprv/LrP/zww2y33fY59rhj8pOddkynTp3y4Ycj8uijj9YFNaNGjcr2O+yUk08+Mfvu+/O0bdsub775Zvb5+b55+OFH6o13yCGH5U9//H0OPvjXGTduXG648aY888wzuenGG+bqer5s+vTpOeKIo3LiicfnD3/4fVq3bp0jjjyqLmTZbrttc8+99zb5LwUAqK+05FJLW4IcACiEqqqqPP7YI7n73//Jn/98TnOXAy3C6quvlvvvuzdbbrV1Xn/9jeYuB2CBZk0WAKAwamtr8+dzzs3P99knHTp0aO5yoEU45OCD85///lfAAtAC6GQBAAAAqACdLAAAAAAVIGQBAAAAqAAhCwAAAEAFLBCPcO7WrZvH2QEAANDkOnbsmBEjRsyXsdu2bZvWrVvPl7Hnl2nTpmXKlCnNXcZ887UPWbp165Z+fXs3dxkAAAAsoNZZd/2KBy1t27bNK08/k85LLlHRcee3ESNGZONvfftrG7R87UOWzztY1ll3fd0sC7CePXtmyJAhzV0GBeX+oTHcPzSG+4fGcP/QGO6fyujYsWP69e09X34Wbd26dTovuUTOX2HTTBk3oeLjzw9tu3TKke8+ldatWwtZim7ixImZMKEYNx6VN2nSJH//NJj7h8Zw/9AY7h8aw/1DY7h/imPKuAmZOt7fVUth4VsAAACAClhgOlkAAADg66aqasZWBEWpszEWgEsEAAAAmP+ELAAAAAAVYLoQAAAAFFSpNGMrgqLU2Rg6WQAAAAAqQMgCAAAAUAFCFgAAAIAKsCYLAAAAFJRHOLcsC8AlAgAAAMx/QhYAAACACjBdCAAAAArKI5xbFp0sAAAAABUgZAEAAACoACELAAAAQAVYkwUAAAAKqqo0YyuCotTZGDpZAAAAACpAyAIAAABQAUIWAAAAgAqwJgsAAAAUVKk0YyuCotTZGDpZAAAAACpAyAIAAABQAaYLAQAAQEFVVc3YiqAodTbGAnCJAAAAAPOfkAUAAACgAoQsAAAAABVgTRYAAAAoKI9wbll0sgAAAABUQLOGLEcfdWSGDxtSb3vi8Ufrjrdt2zZnn3VmXnvtlbzT/6389corsthiizVjxQAAAACz1uzThd566+3svseeda9rpk+v+/Npp52aH3x/i/ziF7/MuHHjc9ZZv8vfrroyO+z4k+YoFQAAAFqUUikpFWSOyoIwXajZQ5aamukZOXLkTPs7d+6cPffYPQcfcmiefvqZJMlRRx6dJ554LOuuu0769u3X1KUCAAAAzFaz513LL798+vbpnWefeSoX/+Wi9FhqqSTJWmutmTZt2uTJJ5+qO3fAwIEZOnRo1ltvvdmO16ZNm3Tq1Klu69ix43y/BgAAAIBm7WTp269fjjjyqAwcODBLLNEtRx91RO6447Z8b4sfZInFl8iUKVMybty4el8zcuSoLLH44rMd89BDDs7RRx810/6ePXtm0qRJFb8GimHJJbs3dwkUmPuHxnD/0BjuHxrD/UNjuH8qo0OHDs1dAk2sWUOWRx99rO7Pb775Vvr165cXnn822/94u0yePKVBY/7l4ktyxZV/rXvdsWPH9OvbO0OGDMmECRMaWzIFNmjQoOYugQJz/9AY7h8aw/1DY7h/aAz3T+N16tRpvr9HVWnGVgRFqbMxmn1Nli8aN25c3n33vSy33HJ54skn07Zt23Tp0qVeN8viiy+Wj2axhsvnpk6dmqlTpzZFuUBBtWvXLptssnaWWnLRTJ4yNS+99E4GDPB/IgAAgMZpUSFLhw4dsuyyy+a2227LK6+8mqlTp2bTTb+de+65N0nSq9cKWXrppdOnT59mrhQoqmV6LpWf77tVVl+9W6o+i9K33fabufvufrnzzkdSLpebuUIAAKComjVk+e1vTskDDz6UoUOHpnv3bjnm6KNSW1uTO+68K+PHj88NN96U0079bcaOHZvx4yfkrDPPSO/evT1ZCGiQUqmUn+y8edZcs/4c406d2mSXndfP4MEj0qfPa81UHQAAzLtSVYEe4VyQOhujWUOWJZdcMpdecnEWXrhrRn/8cV584cVs9+Md8vHHHydJTjvt9JRra/PXK69M27Zt8thjj+fEk05uzpKBAltxxeWy3no9Z3msTdvqrLPOikIWAACgwZo1ZPnVrw+e4/EpU6bkpJNPyUknn9JEFQFfZ4suslDatq2e7fEuXaz+DgAANNwC0KwDMMOHH47KxInTZnv849Hjm7AaAADg60bIAiww3h80NC+8MOunCI0fPzW9e7/dxBUBAEDjlEr/e4xzS99KHuEM8PVyyy0PpV271tlgg2XSunVVyuVyRoyYlLvvejGvvd6/ucsDAAAKTMgCLFBGjRqTiy66KWuvvUqWXnqJTJk8LX36vJFRo8c0d2kAAEDBCVmABU5NTU369n0jffu+0dylAABAo5RKpZQKMg+nKHU2hpAFoBl0W2zhLNN90Xz08bgMGv5Rc5cDAABUgJAFoImts8py2XvDxbNk26kZN33h3PjqInm0z1vNXRYAANBIni4E0MR+sHq3LNV2akpJFmo1NVuv2jXt2rVr7rIAAIBG0skC0IRKpVLat6o/F7Vjq9q0auWfYwAA5l2pasZWBEWpszEWgEsEaDnK5XLe+GhKajIjaCkn6fdRMnHixOYtDAAAaDS/OgVoYnc++UomTvlGlurSJh9/WpN7nn855XK5ucsCAAAaScgC0MSm19Tk3mdfb+4yAAD4GqgqzdiKoCh1NobpQgAAAAAVIGQBAAAAqAAhCwAAAEAFWJMFAAAACqpUmrEVQVHqbAydLAAAAAAVIGQBAAAAqADThQAAAKCgqqpmbEVQlDobQ8gCtCht27bNyiv0SHWr6gwdPiqjRo9p7pIAAADmipAFaBFatWqV7X6wXtZffYn0WrJ1SqVk9Lhyer81Jv995JV8NPLj5i4RAABgjoQsQLOrrq7Oz3b+TrbcaOFUfWHF8SW6lrLNxotkme7fyqXXPZORo3S1AAAALdcCMCMKaOnW/+bK+eEG9QOWL1pjubbZavM1mrYoAAAogM8f4VyU7etOJ0sL0qVL52y0/jfStUu7TJ5ck36vvpuhwz5s7rJgvltn1SXTqnrO56z7jUVyZ+dOGT9+QtMUBQAAMI+ELC1AqVTK1j/cOD/cvFd6LNG2Lt3bfsuV8tSLH+TG2x7PlClTmrdImI8WX7j9V56zRNdW6bb4wkIWAACgxRKytAA//N76+elOq6ZN6/q9U107t8q23+uZVtXfy9XX3p9yudxMFcL8Na2m9ivPqS2XMnnKtCaoBgAAisMjnFuWBeASW7a2bdvmu5v0milg+VyplGy+0VJZeaVlm7gyaDoDBo/9ynNef29ihn/w0fwvBgAAoIGELM1s3W+unF7LdJzjOe3blbLOmss1TUHQDJ7pMyDDP559N8u06ckLrw5Pbe1Xd7wAAAA0FyFLM+vUoe1ctUx16NB6/hcDzWT4ByPzz7tfz5CRNfnyrLhPpya3PvZhHn36leYpDgAAYC5Zk6WZTZg0JbW1Xz03bdIka1Hw9dbn5XcyaOiofHuDlbJCj66pqi7lo9GT8uIrg/PWO4OauzwAAGiRivRo5KLU2RhClmbW96X+GTB49ay83OynDH06uZx+r77fdEVBMxk1ekzuuu+F5i4DAACgQUwXamZTpkzJ488MzNRps35yULmcPPb88PT3m3wAAABo0XSytAAPPto7rVpV5web9crS3drVtVCNGTc9T734QW687TGPbwYAAIAWTsjSApTL5dzzwHN56rnXs9H638hCndtl8pTp6ffKuxk2fERzlwcAAEALVVX11Wt8thRFqbMxhCwtyLhx4/PgIy82dxkAAABAAywAORIAAADA/KeTBQAAAAqqlOI8GrkgZTaKThYAAACAChCyAAAAAFSAkAUAAACgAqzJAgAAAAVVVZqxFUFR6mwMnSwAAAAAFSBkAQAAAKgA04UAAACgqKqSUlHaJ4pSZyMsAJcIAAAAMP8JWQAAAAAqQMgCAAAAUAHWZAEAAICC8gjnlkUnCwAAAEAFCFkAAAAAKsB0IQAAACioUoEe4VyUOhtjAbhEAAAAgPlPyAIAAABQAUIWAAAAgAqwJgsAAAAU1Iw1WYrxbGRrsgAAAAAwV3SyMJPVl+mRXgt1yNjptXm6//upqalp7pIAAACgxROyUM83l++Zny9WnU5TP0lNu+os/s1v5LY+rzd3WQAAAMxCqVRKqVSQ6UIFqbMxTBeinlW7dkinqZOSJNW1NVm1TU1aVVc3c1UAAADQ8ulkaQEW6tI5a/daKq1blfLRJ5/m9QFDUltb2yy1TCqXUk7yeb44PtWpaaZaAAAAoEiELM2odevW2WmzNbNxj9ZZst3klJJMS4e8ulb3PPjaiPR76/0mr+nh/oOyxJq9snJpckaV2uT+waNTLpebvA4AAAAoGiFLM6mqqspPf/DN/Kjn1FTlfwvLtk5N1l2kJstuvESuqC3nlf6DmrSuCZM+zd9efCMdOnTIlClTMm3atCZ9fwAAAOZBVWnGVgRFqbMRrMnSTFbv1TNbLF0z27+ARdtMyRard2uWhYFqa2szYcIEAQsAAADMAyFLM1ln+UXSpjTnRyN/c7Ha9FpmySaqCAAAAGgMIUsz6dr+q2dqtS1Ny2JdOzVBNQAAABRRqapY27zYaKON8o+/X52+fXpn+LAh2WrLLeuOtWrVKiefdGIefujBDHjn7fTt0zsXXnh+unXrVuFPeN4IWZrJ5OlfvZhsTaoyafLUJqgGAAAAWpYOHdrn9TfezEknnzLTsfbt22fNNdfIBRdemC232joHHHhgeq3QK3+/5upmqPR/LHzbTN4aPj7f7dE+VZl92NL/kzZ5891hTVgV80OpVEqpVGq2x3IDAAC0JB07dqz3eurUqZk6deYGg0cffSyPPvrYLMcYP3589tjzp/X2nXzKb3LvPf9Jj6WWyrDhwytW77wQsjST515/L5v0WjffXOTTWR6fVq7Os++Pt/hsgX1j+aWz4UpLZLlF2qSqlHwwfnr6vjcmfd54N7Ueiw0AACyg+vXtXe/1ueeel3PPO7/R43bp0jm1tbX5ZNy4Ro/VUEKWZjJ16tT84/H+mb7ZyvnmolPSKv/rchgzvU3uHzAtD73wZjNWSGP8YMPVsvuaHdK5elqSGUHaNzonmy61UP675Lq5+ZF+OlsAAIBGK1WVUirIo5E/r3OdddfPxIkT6/bPqotlXrVt2zYnn3Ri7rzzrkyYMKHR4zWUkKUZfTDy41xwV++s+41l840lu6R1dTJ6Yk1eePu9DP9oVHOXRwOtukLPLwQs9bVOTX68QlU++mSVPPJiMUK01q1b54crL5/O1eW8+vGEvDH0g+YuCQAAKLCJEydWNAhp1apVrrj8spRKpZxw4kkVG7dBtTTru5Pp06fnhdcG5oXXmrsSKmXDlRafZcDyuerUZr1luuSxPlWF6GbZcpUVss3UkSlNLWe1xRbJBeM6Z8y48c1dFgAAQF3A0mPpHtltt92btYslEbJARVVVVWW5Rdrk8ylCs7PqouUssnDXjBr9cdMU1ghdq8opfbaGzCJTJ2SRTh2FLAAA0EIUcbpQpXwesCy//PLZZdfdMmbM2IqO36CamrsA+DqpKpVSPRfnlZJUF+QfwtfGTcqqCy2UhaZMzEsdFsvgd/o3d0ktUuvWrdOlc6fU1MxYaKtscWMAAGiUDh06ZPnll6t73XOZnll99dUydszYjPjoo/z1yiuy5ppr5Gf7/DzV1dVZfPHFkyRjx45ttofICFmggqbX1OSD8TVZufOczxs8vpQxnxSjG+Sl94fmg0W6ZpGOHTNgYH9PvPqS9u3b5UebrJ51ey2UZRepTk05eWPY1Lz49sg82ftNYQsAADTQ2muvldtuvaXu9emnnZokuenmW3Luuedlyy1/lCR56MEH6n3dzrvsmmeffa7pCv0CIQtUWN9BY/LtpTrXe2LUF5WT9Bv2aUVW0G4qIz4emxEfj23uMlqc9u3b5aCdNsomy5dSKtUmn/2db7RcKesu0z1LLNIptz3woqAFAAAa4Nlnn8tSPXrO9vicjjWXquYuAL5uXnz93dz7fnVqZvHtVU7y7Mj2uf9FU26+Drb5zhqfBSwzH2tdVZsd1uuUtVZdvukLAwBggVFKKaVSQbYUY8mExhCyQIXV1tbmhof65u8vTclLH7fLp2mbyWmT/uPb5+a3kr/e91I+/XRyc5dJI7Vt2zbrrtBllgFL3TlVtVl/le5NVxQAANCsTBeC+aC2tjYPvvBGHulTncUW6ZqqUimjx44r1BQh5qz7EgtnmYW/OolfapF2KZVKpgwBAMACQMgC81FNTU1GjBzd3GUwH9TWlDM3sUltImABAGC+KVXN2IqgKHU2xgJwiQCV98FHo/POR7Ne3PiLBo2Y2ATVAAAALYGQBaABpk+fnj4DxqR2Dk0qn0ypzvOvD2u6ogAAgGYlZAFooAeeejX3vT4tNeWZ12YZN6UqNz39Ud55b2gzVAYAADQHa7IANND0mpr869/PZcDQlbPOSoulx8JtMq22nHc//DQvvDE8r/cf1NwlAgDwNVeqKqVUVYxHIxelzsYQsgA0Qk1NTZ7q/Wae6p20bt065draTK+pae6yAACAZiBkAaiQadOmNXcJAABAM7ImCwAAAEAF6GQBAACAoqqqmrEVQVHqbISv/xUCAAAANAEhCwAAAEAFmC4EAAAABVWqmrEVQVHqbIwF4BIBAAAA5j+dLFBgnTt1yCYrLJ3acvLUO4Pz6eTJzV0SAADAAkvIAgXVpk2b7L/uSlln+qgkSa8NVslfn3ktNTU1zVwZAADAgknIAgXVY9GFs0bGp/TZ67WrP02Xzp0zZuzY5iwLAABoQqVSKaVS6atPbAGKUmdjWJMFCurjiRMzstS27vUH5Tb59NNPm7EiAACABZtOFiioT8ZNyA2Dx+c7Sy2c2pTyyMCRmTxlSnOXBQAAsMASskCBvfLe0Lzy3tDmLgMAAGgmpapSSlXFmIZTlDobw3QhAAAAgAoQsgAAAABUgJAFAAAAoAKsyQIAAABFVVWasRVBUepsBJ0sAAAAABUgZAEAAACoANOFAAAAoKCqqmZsRVCUOhtjAbhEAAAAgPlPyAIAAABQAUIWAAAAgAqwJgsAAAAUVKlUSqlUjEcjF6XOxtDJAgAAAFABQhZYgHTt3DkrLtk9bdq0ae5SAAAAvnZMF4IFxGa9Vsi3p05Op4kTM3zZpfPfsePy/shRzV0WAADQGKVSUlWQaTimCwFfBwt17pRvT52chT7+ONVTpqTn8OHZZOGuzV0WAADA14qQBRYAi3XqmE4TJ9bbt1C53EzVAAAAfD0JWWABMHjUxxm2yKJ1r8tJhlX59gcAAKgka7KwQCuVSunYsWNKpVImTpyY2tra5i5pvpg2bVr++8kn+XaPpbNQkqGlUh58f3BzlwUAADRSqaqUUkHWZClKnY0hZGGBVCqVsskavbJuj4WySudyqkvJexNLeWnEpDz68oBMmzatuUusuEEjR2fQyNHNXQYAAMDXlpCFBU6pVMpOm66VHZeantbl/61Tsk7HZO0VSll2kbXz90df/loGLQAAAMw/FmVggbPOystlh6Vq0rpcM9OxqpTz3a4T8qN1VmqGygAAAOZRVVIqyLYgJBALwCVCfest0zVtytNne7wqyTe7t0+rVhq9AAAAmHtCFhYoraqr07NT9Vee16tDTRZeqEsTVAQAAMDXhZCFBUo5Sbk8t+fNxYkAAADwGfMhWKDU1NRk8PjpWXnROZ/3zoTqjP1kXNMUBQAA0EClqqqUqorRP1GUOhvj63+F8CW9B4/J5Dnki7Uppd+ISZleM/PCuAAAADA7QhYWOC+/Myh3DC3NMmipSSkPftwhD/ft3wyVAQAAUGSmC7FAuvuZVzPsG8tn/Z5d06tzVapK5QyZVMpLH0zI06++pIsFAAAohlJpxlYERamzEYQsLLD6vPVe+ryVtGvbNqWqqkyePNlitwAAADSYkIUF3uQpU5q7BAAAAL4GrMkCAAAAUAE6WQAAAKCgqqqSckHaJxaAJzjrZAEAAACoBCELAAAAQAWYLsQcLb3EollxyUUzcvynef3dIc1dDgAAAF9QqkpKVcV4NHJpAWjzELIwW6sss2QO/OYSWarq03yaLrlp4VXzQJ83m7ssAAAAaJEWgByJhtpw2cWyVNWnSZL2mZYNl+yQqlIxElIAAABoakIWZmt6uf7raeVSasvlWZ8MAAAACzjThZitR98amhU2WiErtZmc0bWt8/CAUc1dEgAAAF9UVZqxFUFR6mwEIQuz9eGoMTn34dez9BKLZPS4CRkzdlxzlwQAAAAtlpCFOZo8eXIGDB7e3GUAAABAi2dNFgAAAIAK0MkCAAAABVUqlVIqyFNgi1JnY+hkAQAAAKgAIQsAAABABZguBAAAAEVV/dlWBEWpsxF0sgAAAABUgJAFAAAAoAKELAAAAAAVYE0WAAAAKCiPcG5ZdLIAAAAAVICQBQAAAKACTBcCAACAoipVJVUF6Z8oFaTORvj6XyEAAABAE9DJ0gKUSqX0Wq5Hlum+cKbV1OaVtwbnk3Hjm7ssAAAAYB4IWZrZskt3zw7fXTXr92qX9q1qUy4nw77TM8+8MSZ3PtQ306ZNa+4SAQAAgLkgZGlG3ZdYNL/Yca2s1K2UpDZJUiolS3ctZ5dvdU27thvlX3c+1bxFAgAA0HJVpTgLgRSlzkZYAC6x5dp8gxU/C1hmVlVKtlijc1ZYZqkmrgoAAABoCCFLM2ndunXWWK7rHM/p1LY2667ao2kKAgAAABrFdKFm0rp16yzUviqfTxOanQ7tqpumIAAAAAqnVFVKqWrWMyRamqLU2Rg6WZrJ1ClTMnrC9K88b9ykrz4HAAAAaH5ClmYyvaYmr7w7NuXy7M/5eFJVXnh1UNMVBQAAADSYkKUZPfLcm3l5SM0sj02vLeW+vh9n+Icjm7gqAAAAoCGsydKMPhk3IZff+mK232LNrNerUxbrOGOFlrc/qMmzr4/MQ0+93NwlAgAA0JJVlWZsRVCUOhtByNLMRo/5JNfc9lTuXqRrlu6+aKZMnZ6Bg4Zn2rRpzV0aAAAAMA+ELC3E6I/HZvTHY5u7DAAAAKCBhCwAAABQVKYLtSgWvgUAAACoACELAAAAQAUIWQAAAAAqwJosAAAAUFSlz7YiKEqdjaCTBQAAAKAChCwAAAAAFWC6EAAAABRVddWMrQiKUmcjfP2vEAAAAKAJCFkAAAAAKkDIAgAAAFAB1mQBAACAgiqVSimVivFs5KLU2Rg6WQAAAAAqQMgCAAAAUAGmCwEAAEBRVaU47RNFqbMRFoBLBAAAAJj/hCwAAAAAFSBkAQAAAKgAa7JQSJ06dkyXzh0zYeKnGTd+fHOXAwAA0DyqSkl1QR6NXFWQOhtByEKhLL/Mkvnu+r2yzopd0rVDVSZNK6ffgAl5qt/7eb3/oOYuDwAAgAWYkIXC+MaKy+SgHVZLz4VLScpJatK+VfKDNTvkmyuslmvubZcXXnq7ucsEAABgASVkoRCqq6uzw+YrfxawzGyxjslOmy2fV94alMmTJzdxdQAAAM2jVCqlVCrGNJyi1NkYLWbh20MO/nWGDxuS008/tW7fsssum79d9de8+spLefutN3L55ZdmscUWa8YqaS5rrLJc1l62zRzPWWHxUjZZd+UmqggAAADqaxEhy9prr5299vppXn/jjbp97du3zw3XX5dyuZxdd9sjO+z4k7Rp3Sb/+Ps1C0T6RX09u3dJ66ryHM+pKiXdF+3QRBUBAABAfc0esnTo0CEXX3xRjj3u+Hwy9pO6/RtusEF69lw6Rxx5VN5666289dZbOfyII7P22mtl002/3YwV0xxq55yvfOG8uTwRAAAAKqzZQ5azzz4zDz/8SJ588ql6+9u0bZNyuZypU6fW7ZsyZUpqa2uz4QYbzHa8Nm3apFOnTnVbx44d51vtNJ3+74/MhKlz7mCaXlvKu0PHNFFFAAAALUBVqVjb11yzLny7w/bbZ8011sw2224307E+ffpm0qRJOfnkE/OH3/8xKZVy8kknplWrVlmi2xKzHfPQQw7O0UcfNdP+nj17ZtKkSRWtn6YzvVzKayPaZb3lZr8uy9sjazJ63PQsu+yyMx1bcsnu87M8vubcPzSG+4fGcP/QGO4fGsP9UxkdOljOYEHTbCHLUkstmTPOOC177Pl/mTJlykzHP/744/ziF7/K739/dvbfb7/U1tbmzrvuyiuvvJLaOcwd+cvFl+SKK/9a97pjx47p17d3hgwZkgkTJsyHK6Gp/PPWT9J25/XzzZ6t8sVlecrl5J2PavOvu1/Ju4M+mO3XDxo0qAmq5OvK/UNjuH9oDPcPjeH+oTHcP43XqVOn5i6BJtZsIctaa66VxRdfPPffd+//imnVKhtvvFH2/fnPs9zyvfL4E09kk29vmkUWXjjTa2oybty4vNSvTwYPunu2406dOrXeFCO+PkaOHpOLrns639lglayxwqLp2rFVJkyuyRvvjcmTfd7Jx2M++epBAAAAvk6KNA2nKHU2QrOFLE8+9VS+t8UP6u07/7xzM2DggFxyyWWpra2t2//xmBnrbHz725tkscUWywMPPtiktdJyTJg4Kfc+1i/3PjYjlKupqUnZYrcAAAC0AM0WskycODFvv/12vX2TJk3KmDFj6vbvvttueWfAOxk9+uOst966OeOM03PlX6/KwIHvNkfJtDDTp09v7hIAAACgTrMufPtVevVaISeeeHy6du2aIUOH5qKL/pIrv7DeCgAAAEBL0aJCll123a3e67N//4ec/fs/NFM1AAAA0LKVqkopFWStk6LU2RhVzV0AAAAAwNeBkAUAAACgAoQsAAAAABXQotZkAQAAAOZBVWnGVgRFqbMRdLIAAAAAVICQBQAAAKACTBcCAACAoqpKcdonilJnIywAlwgAAAAw/wlZAAAAACpAyAIAAABQAdZkAQAAgKIqJSkV5NHIBSmzMXSyAAAAAFSAkAUAAACgAkwXAgAAgKKqrpqxFUFR6myEr/8VAgAAADQBIQsAAABABQhZAAAAgBZno402yj/+fnX69umd4cOGZKstt6x3fOutt8oN11+X1157JcOHDcnqq6/WTJX+j5AFAAAAiqqUGT/ZF2Gbx0c4d+jQPq+/8WZOOvmU2RzvkBdeeCFnn3X2vA08H1n4FgAAAGgyHTt2rPd66tSpmTp16kznPfroY3n00cdmO85tt92eJFl66aUrWl9j6GQBAAAAmky/vr3T/+0367ZDDzm4uUuqGJ0sAAAAUFClUiml0jzOw2kmn9e5zrrrZ+LEiXX7Z9XFUlRCFgAAAKDJTJw4MRMmTGjuMuYL04UAAAAAKkDIAgAAAFABpgsBAABAUVWXZmxFMI91dujQIcsvv1zd657L9Mzqq6+WsWPGZtjw4enatWt69Fgq3bp1S5L06tUrSfLRRyMzcuTIipU9L4QsAAAAQIuz9tpr5bZbb6l7ffpppyZJbrr5lhx55FH50Y9+mAvOP6/u+OWXXZokOffc83Lueec3bbGfEbIAAAAALc6zzz6XpXr0nO3xm2++JTfffMtsjzcHIQsAAAAUVak0YyuCotTZCBa+BQAAAKgAIQsAAABABQhZAAAAACrAmiwAAABQUKWqGVsRFKXOxlgALhEAAABg/hOyAAAAAFSA6UIAAABQVFVVM7YiKEqdjfD1v0IAAACAJiBkAQAAAKgAIQsAAABABViTBQAAAIqqVJqxFUFR6mwEnSwAAAAAFSBkAQAAAKgA04UAAACgqDzCuUX5+l8hAAAAQBMQsgAAAABUgJAFAAAAoAKsyQIAAABF5RHOLYpOFgAAAIAKELIAAAAAVIDpQgAAAFBUVaUZWxEUpc5G0MkCAAAAUAFCFgAAAIAKELIAAAAAVIA1WQAAAKCoPMK5RdHJAgAAAFABQhYAAACAChCyAAAAAFSANVkAAACgqEpVSVVB+idKBamzEb7+VwgAAADQBIQsAAAAABVguhAAAAAUlUc4tyg6WQAAAAAqQMgCAAAAUAFCFgAAAIAKsCYLAAAAFFVVgR7hXJQ6G+Hrf4UAAAAATUDIAgAAAFABpgsBAABAUZVSnEcjF6TMxtDJAgAAAFABQhYAAACAChCyAAAAAFSANVkAAACgqKpKM7YiKEqdjaCTBQAAAKAChCwAAAAAFWC6EAAAABRVqWrGVgRFqbMRvv5XCAAAANAEhCwAAAAAFSBkAQAAAKgAa7IAAABAUXmEc4uikwUAAACgAoQsAAAAABVguhAAAAAUVClVKRWkf6IodTbG1/8KAQAAAJqAkAUAAACgAoQsAAAAABVgTRYAAAAoKo9wblF0sgAAAABUgJAFAAAAoAJMFwIAAICiKlXN2IqgKHU2wtf/CgEAAACagJAFAAAAoAKELAAAAAAVYE0WAAAAKKqqFKd9oih1NsICcIkAAAAA85+QBQAAAKACTBcCAACAovII5xbl63+FAAAAAE1AyAIAAABQAUIWAAAAgAqwJgsAAAAUVVVpxlYERamzEXSyAAAAAFSAkAUAAACgAkwXAgAAgMIq0COcF4A+j6//FQIAAAA0ASELAAAAQAUIWQAAAAAqwJosAAAAUFQe4dyi6GQBAAAAqAAhCwAAAEAFCFkAAAAAKsCaLAAAAFBUpaoZWxEUpc5G+PpfIQAAAEATELIAAAAAVIDpQgAAAFBUVSnOo5EXgDaPBeASAQAAAOY/IQsAAABABQhZAAAAACrAmiwAAABQVKXSjK0IilJnI+hkAQAAAKgAIQsAAABABZguBAAAAEVVVTVjK4Ki1NkIX/8rBAAAAGgCQhYAAACAChCyAAAAAFSANVkAAACgqDzCuUXRyQIAAABQAUIWAAAAgAowXQgAAACKqlQ1YyuCotTZCF//KwQAAABoAkIWAAAAgAoQsgAAAABUgDVZAAAAoKg8wrlF0ckCAAAAUAFCFgAAAIAKMF0IAAAAisojnFuUr/8VAgAAADQBIQsAAABABZguBAAAACxwevbsmY022jBLL7102rdrl9Eff5zXXnstffr0zZQpUxo0ppAFAAAAiqr02VYELaTOnXbaMQfsv3/WXnutjBw5MiNGjMjkyZPTtWvXLLvsspkyZUpuv+POXHLJpRk2bNg8jS1kAQAAABYID9x/b6ZOnZabb7klBx50UIYP/6De8TZt2mS99dbNDjtsn/vu/W9OPOnk/Oc//53r8YUsAAAAwALhrLP/kMcff3y2x6dOnZpnn30uzz77XP74xz9l6aV7ztP4QhYAAAAoKo9wnidzCli+bMyYsRkzZuw8jd/8VwgAAADQRLp165bf/uaUdOrUaaZjnTt3zm9OOTmLLbZYg8YWsgAAAAALjF8cdGA6deqUCRMmzHRs/Pjx6dipY35x0IENGlvIAgAAACwwvvvd7+bWW2+b7fFbb70tP/jB9xs0tjVZAAAAoKhKpRlbEbSQOpdZpuccH838wfAP0rPnvC14+zmdLAAAAMACY/LkyVl6DiHK0j17ZvLkyQ0aW8gCAAAALDD69uuXXXb+yWyP77rLzunX76UGjW26EAAAABSVRzjPs8svvyI33nB9xo8fn0svuzyjRo1Kkiy22GL59a9/ld122zV7/t9PGzS2kAUAAABYYDzzzLM56eRTcsbpp+XAAw/I+PHjUy4nXbp0zrRp03LKb36bp59+pkFjC1kAAACABcq1116Xhx56OD/+8XZZfrnlklIp7777bv773//mgw8+bPC4QhYAAABggfPhhx/mr3+9qqJjClkAAACgqDzCuUG6d++eTh07ZsDAgRUdV8gCAAAALDB23223HHrYIRk7Zmz69O2TU089vWJjt4ylfQEAAACawBFHHJbDDjs8u+62e/b52c/SuXPnio2tkwUAAACKyiOc59n48eOzxOJLZMSIj1JTU5tp06ZVbGwhCwAAALDAOOHEk3LuOX9O+/btc/LJp2Ty5MkVG1vIAgAAACww+vbtl+9t8YP5MnbL6NUBAAAAKDghCwAAABRaqSBb81t33XXm+tz27dpl5ZVXnqfxhSwAAADAAuGiiy7M9dddm+222zbt27ef5TkrrbRSTjjh+DzzzFNZa60152l8a7IAAAAAC4TvfneL7POzvXP8ccfmkov/knfffTcjRozIlClTstBCC2XFFVdMhw4dct9992fP/9srb7311jyNL2QBAAAAFgjTp0/P366+Jn+7+pqstdZa2XDDDbL00kunXbu2ef2NN3PlX6/KM888m7FjxzZofCELAAAAFFYpKbWM9U6+Wsuq85VXXskrr7xS0TGtyQIAAABQAUIWAAAAoMXZaKON8o+/X52+fXpn+LAh2WrLLWc659hjjk6/vr0zcMA7uenG67P88ss1faFfIGQBAACAoqqqKtY2Dzp0aJ/X33gzJ518yiyPH/zrX2W//fbNCSeclO1+/ONMmvRprr/u2rRt27YSn2yDWJMFAAAAaDIdO3as93rq1KmZOnXqTOc9+uhjefTRx2Y7zgEH7J8LL/xL7n/ggSTJYYcfkZdf6putttwyd919d0Vrnls6WQAAAIAm069v7/R/+8267dBDDp7nMZZZZpl069YtTz71ZN2+8ePHp1+/l7LeeuvO83iV6n7RyQIAAAA0mXXWXT8TJ06sez2rLpavssQSiydJRo4cVW//yFEjs8QSS8zVGKVSKYcfflj23muvLL74Ytn0O5tn8ODBOfbYYzJ0yJDccONN81yXThYAAAAorFLBtmTixImZMGFC3daQkKUSjjj8sOy2664586yzMm3atLr9b7/9dvb8vz0bNKaQBQAAACiUjz4amSRZfPHF6u1ffLHF89FHH83VGLvsskuOO/743HHHnampqanb/8brb2TFXr0aVJeQBQAAACiUwYMHZ8SIEdl0003r9nXq1CnrrPPN9OnTd67G6N69e9577/2Z9peqqtK6desG1WVNFgAAACiqUtWMrQjmsc4OHTpk+eWXq3vdc5meWX311TJ2zNgMGz48V131txx+2KF57933MnjIkBx37DEZMWJE7rv//rka/513+mejjTbM7bffUW//dttuk9dee32eav2ckAUAAABocdZee63cdustda9PP+3UJMlNN9+SI488Kpdcelk6dOiQP/3pD+nSpUtefPHF/HSvvTNlypS5Gv/88y/MBReclyW7d09VVVW22Xrr9Oq1QnbZZefss8++DapZyAIAAAC0OM8++1yW6tFzjuf8+Zxz8+dzzm3Q+Pc/8ED2+fl+OerIwzNp0qQce+zRefXVV/Pzn++XJ5588qsHmAUhCwAAALBAqa6uzmGHHpIbb7ope+z504qNW5CJWwAAAMBMSqVibS1ETU1Nfv3rX6W6urK9J0IWAAAAYIHz1FNP51vf2riiY5ouBAAAACxwHnn00Zx04glZ9RvfyCuvvJpJkybVO/7Agw/O85hCFgAAACiqFjYNZ45aWJ2/P/usJMlBBx0407FyuZyeyyw3z2MKWQAAAIAFztI9l634mNZkAQAAAKgAnSwAAADAAufIIw6f4/HzL7hwnscUsgAAAEBRWZOlwbbeeqt6r1u1ap1llumZ6dOnZ9CgQUIWAAAAgLnxoy23nmlfp06dcsH55+Xe++5r0JgtZk2WQw7+dYYPG5LTTz+1bt/iiy+eiy66IC/165MB77yd+++7J9tsM/OHAAAAANBYEyZMyDnnnpfjjj2mQV/fIjpZ1l577ey110/z+htv1Nt/0YUXpEuXLvn5vvvn448/zk477ZgrLr8sW2+9bV57/fVmqhYAAABaiFLVjK0IClJnl86d07lz5wZ9bbOHLB06dMjFF1+UY487Pocfdli9Y+uvv15OOPGkvPTSS0mSCy+8KAceeEDWWmtNIQsAAADQYPvvt2/9HaVSui2xRHbeeec8+uhjDRqz2UOWs88+Mw8//EiefPKpmUKW3r37ZPvtf5yHH34kn3zySbb/8Y/Trm3bPPPsc7Mdr02bNmnTpk3d644dO8632gEAAIBiOvDAA+q9rq0tZ/THo3PLrbfmL3+5uEFjNmvIssP222fNNdbMNttuN8vjv/jlr3L5ZZfmjddfzbRp0/Lpp59m//0PzPvvvz/bMQ895OAcffRRM+3v2bNnJk2aVKnSKZgll+ze3CVQYO4fGsP9Q2O4f2gM9w+N4f6pjA4dOjR3CczBxt/6dsXHbHDIsuyyy2b33XfLcssum9/89tSMHj063/vedzNs2PD079//K79+qaWWzBlnnJY99vy/TJkyZZbnHHfsMenSpUt2232PfPzxx9lqyy1z+eWXZqef7JK33nprll/zl4svyRVX/rXudceOHdOvb+8MGTIkEyZMmPcL5Wtj0KBBzV0CBeb+oTHcPzSG+4fGcP/QGO6fxuvUqdP8fxOPcG6w8849J7/57amZOHFivf3t27fPWWf+LkcdPe+L3zZo1ZmNN944jzz8YNZd55vZeuut6qbkrL7aajnmmJm7SGZlrTXXyuKLL57777s3gwe9l8GD3ssmm3wr+++3XwYPei/LLrts9ttv3xx19DF56qmn88Ybb+a88y/IK6+8kp///GezHXfq1KmZMGFC3fblDwsAAABg1113Sbt27Wba375du+yyy84NGrNBnSwnnXRC/vinP+fKK/+a/m+/Wbf/qaefyc/3/flcjfHkU0/le1v8oN6+8887NwMGDsgll1yW9u3bJ0lqa2vrnVNTU5uqgqxIDAAAALQsnTp1SqlUSqlUSqdOnerNrqmurs4W398io0aNbtDYDQpZVv3GN3LwwYfOtH/UqFFZZOGF52qMiRMn5u233663b9KkSRkzZkzefvvttGrVKu++917+9Mc/5IzfnZkxY8Zkq622zGabfSc/2+fnDSkbAAAAvmaq0sBJKs2gZdT51puvp1wup1wu56knH5/peLlczjnnntegsRsUsnwybly6dVsiQ4YMqbd/jTXWyIcfjmhQIV82ffr07L33z3LSiSfmH3+/Oh07dsx777+fw484Mo888mhF3gMAAABYsOyy6+4plZJbbr4pBxz4i4wdO7bu2LRpUzN06LCMGNGwbKNBIcvdd92dk086KQf94pcpl8upqqrKBuuvn9/+5pTceuutDSokSXbZdbd6r9977/0ceNAvGjweAAAAwBc999xzSZKNNt4kw4cPT7lcrtjYDQpZfv+HP+bss85M7xefT3V1dR579OFUV1fnjjvvzAUXXlSx4gAAAADmh2HDhiWZsdBtjx490rpN63rH33xz1k81npMGhSzTpk3LsccdnwsuuDCrfGOVdOzYMa+99lree+/9hgwHAAAANERVKSm3rEcjz1ZVy6pzkUUWyfnnn5stvve9WR7vucxy8zxmg0KWzw0bPjzDhg9vzBAAAAAATe6M00/LQl26ZNvtts9tt96c/fc/MIstvliOOPywnH7G7xo05lyHLKee+tu5HvT0089oUDEAAAAATeHb394k++53QF555ZXU1tZm6LCheeLJJzNh/IQcesjBefjhR+Z5zLkOWdZYY/V6r9dcY420atUqAwcOTJKssMIKqampySuvvjrPRQAAAAANUKqasRVBC6uzQ4cOGTVqVJLkk08+yaKLLJp3330vb771VtZcc80GjTnXIcuuu+5e9+eDDjowEydMzOFHHJlPPvkkSbLQQgvl/PPOzfMvvNCgQgAAAACaysCB76ZXr14ZOnRo3njjzey1908zZOjQ/GzvvTJixEcNGrNBMdIvDjooZ//+D3UBSzIj9fnjn/6cXxx0UIMKAQAAAGgqV/3tb+nWbYkkybnnnZ8tvve9vPjCc9lvv/3yhz/+sUFjNmjh286dO2XRRReZaf+iiy6STp06NqgQAAAAgKZy++131P351VdfzYYbbpwVV1wxw4YNy8djxjRozAZ1stx73305/7xzs/XWW2XJJbtnySW7Z5ttts655/w599x7b4MKAQAAAGgKrVq1yjNPP5UVV1yxbt+nkyfn1ddea3DAkjSwk+WE40/Mb377m1xy8V/SunXrJMn06dNzw4035Xe/O7PBxQAAAADMb9OnT0/btm0rPm6DQpZPJ0/OSSednN/97swst9yySZL33x+UTz/9tKLFAQAAAMwPf//HP3Lwwb/OMcccm5qamoqM2aCQ5XOffvpp3nzzrYoUAgAAAMyjUqnFPRp5tkql5q6gnm+uvXY23fTb2XyzzfLWW29l0qRJ9Y4fcOC8P9inQSHLLbfclHK5PNvju+22R0OGBQAAAGgS48aNyz33VHZd2QaFLK+//ka9161btcrqq6+WVVZZJbfccmtFCgMAAACYX4486uiKj9mgkOW0006f5f6jjzoyHTt6hDMAAADQ8lVXV2eTTb6VZZddNnfccWcmTpyYbt26Zfz48TNNH5objVqT5ctuu/2O/Pc//84ZnjAEAAAA81+p1OLWOpmtFlZnjx49cv11/0qPHj3Spk2bPPHEk5k4cWIO/vWv0qZtm5xwwknzPGZFV8dZb711M2XKlEoOCQAAAFBxvzvj9Lz8yitZdbU1Mnny5Lr99953XzbddNMGjdmgTpar/nplvdelUilLdFsia6+1Vi644MIGFQIAAADQVDbcaMPssMOOmTZtWr39Q4YMzZLduzdozAaFLOMnTEi+8HSh2traDBw4MOf8+dw8/sQTDSoEAAAAoKlUlUqpqqqeaf9SSy6ZCRMmNGjMBoUsRx55VIPeDAAAAKigUtWMrQhaWJ1PPPFkDjxg/xx3/AlJknK5nA4dOuToY47KI4882qAxG3SFzz7zVBZeuOtM+7t06ZJnn3mqQYUAAAAANJXTzzgjG2ywfh579OG0bds2l1zyl7zw/LNZsnv3nHnW2Q0as0GdLD179pxlS02bNm3SvYHzlgAAAACaygcffJgf/HDL7LDD9llt1VXToWPH3HjDjbn9jjvrLYQ7L+YpZPnRD39Y9+fvfnfzjB83vu51VXV1vrPptzN06NAGFQIAAADMm3K5lHK5ZT0aeXZaYp01NTW5/fY7cnvuqMh48xSyXH31VUlmzFO68ILz6x2bNm1ahg4dmtPP+F1FCgMAAACYn3r1WiH77btvVlxpxSTJgHcG5Jpr/p4BAwc2aLx5ClmW7rlskuS5Z5/ONttsl4/HjGnQmwIAAAA0p2222TqXXXpJXn7llfTp0zdJst666+Thhx/Mr359cO655955HrNBa7Js/K1vN+TLAAAAAFqEU04+ORdffEn+fM659fYfc/RROeXkk+dvyLL/fvvm2uuuz5QpU7L/fvvO8dy/XX3NPBcCAAAAzJtyqlNObXOXMVfKmfkBOs2pW7clcsutt820/7bbb8+vfvXLBo051yHLgQcekNvvuCNTpkzJgQceMNvzyuWykAUAAABo0Z555tlstOGGef/99+vt33CDDfP88y80aMy5Dlm+OEXIdCEAAACgyB548MGcfPKJWWutNdOn7+drsqyb7bbbNuece169Jyw/8OCDczVmg9ZkOfKIw3P55Vfk0y89N7pdu3b51S9/kfMvuLAhwwIAAADzwCOcG+73Z5+VJNlnn59ln31+NstjyYwZOz2XWW6uxmxQyHLUUUfmn/+6dqaQpX37djnqqCOFLAAAAECL9vkTlCupqiFfVCqVUi6XZ9q/2mqrZezYsY2tCQAAAKBw5qmT5Y3XX025PKNV5qknH88Xc5bq6qp07Ngx//rXtZWuEQAAAKDi1l577Xx7k29lscUWS6mqfh/K6aefMc/jzVPIcuppp6dUKuW8c8/Jueeel3Hjx9cdmzZ1WoYMHZI+ffrOcxEAAABAQ1SlgZNUmkHLqvPQQw/J8ccdm4EDB2bkyFEp53+dJLOavTM35ilkueWWW5MkgwcPSe/evTN9+vQGvSkAAABAczpg//1y1NHH5Oabb6nYmA1a+Pa5556r+3Pbtm3TunXrescnTJjQuKoAAAAA5qPa2tq8+OKLFR2zQSFL+3btcsopJ+fHP94uCy+88EzH5/bRRgAAAEDD1ZZLqW1hj0aenVILq/Ovf70qP//5Pjn11NMrNmaDQpbf/OaUbLLJt3LCiSflLxddmJNOOiXdl+yevff6ac46+/cVKw4AAABgfrjs8ivyr3/+I888/VTeead/pk2rvyTKAQceNM9jNihk+eEPf5DDDj8izz77XM4/79w8/8ILef/99zN06ND8ZKedcscddzZkWAAAAIAmcebvzsgmm3wrzzzzbD4eMzZp4GK3X9SgkKVr164ZPGhwkmT8hAnp2rVrkuSFF17MH35/dqOLAgAAAJifdt11lxx40C/y8MOPVGzMBj0/adCgwem5zDJJkoEDBmT7H2+XJPnRD3+QcePGz+lLAQAAgAopp6pQW0syduzYDHp/UEXHbNAV3nTzzVl9tVWTJBdfcmn22WefvDvwnZx22qm59LLLKlogAAAAQKWde+75OeaYo9O+XbuKjdmg6UJ//etVdX9+8smnstnm381aa62Zjz8ek51/slPFigMAAACYH/bff98su+yyefnlfhkyZGimT59W7/iWW20zz2M2KGT5smHDhmXYsGFZbbVVs+eee+S440+oxLAAAADAHFWlgZNUmkHLqvO+++6v+JgVCVkAAAAAiuS88y+o+JgtK0YCAAAAaCJdunTJ/+25R0484fi6JyevucYa6d69e4PG08kCAAAALHBWXfUbuenGGzJu/Pj0XHrpXHf9DRk7dmy23mbr9OixVA4//Mh5HnOeQpar/nrlHI93WajLPBcAAAAANEw5pZRTau4y5kpLq/O0U3+bm2++JWeedXb6v/1m3f5HHnkkl1z8lwaNOU8hy/jx47/y+K233tagQgAAAACaytprr53jjj9xpv0ffPBhFl988QaNOU8hy5FHHd2gNwEAAABoSaZOnZrOnTrNtL/XCivk448/btCYFr4FAACAgqpNKbWpKsjWsqYLPfDAgznyyCPSqtWM/pNyuZweSy2Vk08+Mf+9554GjSlkAQAAABY4p5/xu3Ts2CGvvNwv7dq1y+233ZKnn34yEyZMzB/+8KcGjenpQgAAAMACZ/z48dljz59mg/XXz2qrr5aOHTrk1ddey5NPPtXgMYUsAAAAwAJnl112zt13/zsv9u6dF3v3rtvfunXr7LDD9g16sI/pQgAAAFBU5VKxthbk/PPOTefOnWfa36lTx5x/3rkNGlPIAgAAACxwSqVSyuXyTPuXXHLJjBs3vkFjmi4EAAAALDAeuP/elMvllMvl3HzTjampmV53rKq6Osv07JlHH3usQWMLWQAAAKCgyqlOOTN3Y7RE5VQ3dwlJkvvuuz9Jsvrqq+fxxx/PxIkT645NnTYtQ4cMbfAjnIUsAAAAwALjvPMvSJIMGTo0d9/970yZMqViYwtZAAAAgAXOLbfcWvExLXwLAAAAUAE6WQAAAKCgyuVSyi3s0cizU5Q6G0MnCwAAAEAFCFkAAAAAKsB0IQAAACiocqpSLkj/REurs6qqKrvvtms23XTTLLbYoilV1a9vt932mOcxhSwAAADAAud3Z5ye3XbbNQ8//EjeevvtlMuNH1PIAgAAACxwdthh+/zil7/KI488WrExW1avDgAAAEATmDp1Wt5///2KjilkAQAAgIL6/BHORdlakiuuvDIH7L9/Rcc0XQgAAABY4Gy4wQbZZJNv5Xvf+2769++fadOm1zt+wIEHzfOYQhYAAABggTNu3Ljcd9/9FR1TyAIAAAAscI486uiKjylkAQAAgMKqSrkwy60Wpc6GE7IAAAAAC6Rtt90mP/7xdunRo0fatG5d79iWW20zz+N9/WMkAAAAgC/Zf799c/5552bUyFFZY/XV0++llzJmzJgss8wyeeTRxxo0pk4WAAAAKKhygaYLtbQ699nnZznuuBNy5113Zbfdds2ll16ewYMH59hjjk7Xrl0bNGbLukIAAACAJtCjR4+82Lt3kmTy5Mnp1KljkuTW227LDjvu0KAxhSwAAADAAuejjz7Kwp91rAwbNjzrrrtukmSZnsuklFKDxjRdCAAAAFjgPP30M/nRj36Y115/PTfddHNOP+3UbLftNllrrbVy7733NWhMIQsAAAAUVumzrQhaVp3HHnd8qqpmTPD5+z/+kTFjxmT99dfLAw88mH9de12DxhSyAAAAAAuccrmcmpqautd33X137rr77kaNaU0WAAAAYIG04YYb5i8XXZi7774z3bt3T5LsvPNPsuEGGzRoPCELAAAAFFS5XFWorSXZZputc8P112by5MlZY/XV06ZNmyRJl86dc+ihhzRozJZ1hQAAAABN4IjDD8vxJ5yYY487PtOnT6/b/+KLvbPmmms0aEwhCwAAALDA6dWrV5577vmZ9o8bPz5dunRp0JhCFgAAAGCB89FHH2X55Zebaf+GG26QwYMHN2hMTxcCAACAgqpNVWoL0j/R0uq87vobcsbpp+Woo49JuVxO927dst566+a3vzklF1xwYYPGFLIAAAAAC5yLL74kVVVVufmmG9O+ffvcfvutmTJlai6/4opcfc3fGzSmkAUAAABYIF100V9y2WWXZ7nllkvHjh3Tv3//TJo0qcHjCVkAAACgqMqlpIU9Gnm2yqXmrmCWpk2blnfeeaciYwlZAAAAgAXGeeeeM1fnHXX0MfM8tpAFAAAAWGDsttuuGTp0aF577fWUSpXtrhGyAAAAAAuMf/7zX9lhhx2yzDI9c9NNN+e22+/I2LFjKzJ2QSZuAQAAAF9WTqlQW0tw0smnZJ1118ull16eH/7wB+n94vO5/PJLs/nmmzd6bCELAAAAsECZOnVq7rzrruyx50+z+Xe3SP+3++f3Z5+VF55/Nh06dGjwuEIWAAAAYIFVLtemXC6nVEqqqqsbNZY1WQAAAKCgyuWqlMvl5i5jrpRb0KOm27Rpk2223jp77LFbNthgwzz08EM5+ZTf5NFHH2vU5ylkAQAAABYYZ599VnbYfvsM/2B4brzxpvz614fk4zFjKjK2kAUAAABYYPxs770ybNiwDB40ON/aeON8a+ONZ3neAQceNM9jC1kAAACABcYtt96WzKcpVkIWAAAAKKhyqlJOQdZkaSHP3jnyyKPm29gt4woBAAAACk7IAgAAAFABpgsBAABAQZVTSjml5i5jrhSlzsbQyQIAAABQAUIWAAAAgAoQsgAAAABUgDVZAAAAoKA8wrll+fpfIQAAAEATELIAAAAAVIDpQgAAAFBQ5XI55XJBpgsVpM7G0MkCAAAAUAFCFgAAAIAKELIAAAAAVIA1WQAAAKCgassztiIoSp2NoZMFAAAAoAKELAAAAECL07Fjx5x++ql54flnM3DAO7n7rjuy9tprN3dZc2S6EAAAABTU1/kRzuee8+esssrKOfSwIzJixIjs/JOdctON1+e73/t+Pvzww/lUZePoZAEAAACaTMeOHdOpU6e6rU2bNjOd065du2yzzdY586yz8/zzz+f999/Pueedn/fffz8/+9nezVD13BGyAAAAAE2mX9/e6f/2m3XboYccPNM51dXVadWqVaZMmVJv/+TJk7PhBhs0VanzzHQhAAAAoMmss+76mThxYt3rqVOnznTOxIkT07t37xxx+OF5550BGTlyZHbccYest956ef/995uw2nmjkwUAAAAKqrZgWzIjQJkwYULdNquQJUkOPeyIlEql9OvbO++/NzD777df7rzzrtTW1s7y/JZAJwsAAADQ4gwaNCg777Jr2rdvn86dO+ejjz7K5ZddmkGDBzd3abOlkwUAAABosT799NN89NFHWWihhbL55pvl/vsfaO6SZksnCwAAANDibL755imVShk4cGCWX265/OY3J2fAwIG56aabm7u02RKyAAAAQEGVyzO2IpjXOrt06ZwTTzghSy7ZPWPHjs0999ybP/zxT5k+ffr8KbAChCwAAABAi/Pvf/8n//73f5q7jHliTRYAAACACtDJAgAAAAVVWy6ntiDzhYpSZ2PoZAEAAACoACELAAAAQAUIWQAAAAAqwJosAAAAUFDlJLUFWeqkIGU2ik4WAAAAgAoQsgAAAABUgOlCAAAAUFC1Kae2IBNxilJnY+hkAQAAAKgAIQsAAABABQhZAAAAACrAmiwAAABQUOXyjK0IilJnY+hkAQAAAKgAIQsAAABABZguBAAAAAVVWy6ntiDzcIpSZ2PoZAEAAACoACELAAAAQAUIWQAAAAAqwJosAAAAUFAe4dyy6GQBAAAAqAAhCwAAAEAFmC4EAAAABVX72VYERamzMXSyAAAAAFSAkAUAAACgAoQsAAAAABVgTRYAAAAoqHK5nHJBno1clDobQycLAAAAQAUIWQAAAAAqwHQhAAAAKKja8oytCIpSZ2PoZAEAAACoACELAAAAQAUIWQAAAAAqwJosAAAAUFAe4dyy6GQBAAAAqAAhCwAAAEAFmC4EAAAABVX72VYERamzMXSyAAAAAFSAkAUAAACgAoQsAAAAABVgTRYAAAAoKI9wbll0sgAAAABUgJAFAAAAoAJMFwIAAICCKpeT2oLMwlkAZgvpZAEAAACoBCELAAAAQAUIWQAAAAAqwJosAAAAUFDlcnHWOilKnY2hkwUAAACgAoQsAAAAABUgZAEAAACoAGuyAAAAQEHVppzaFGOxk6LU2Rg6WQAAAAAqQMgCAAAAUAGmCwEAAEBB1ZZnbEVQlDobQycLAAAAQAUIWQAAAAAqQMgCAAAAUAEtJmQ55OBfZ/iwITn99FOTJEsvvXSGDxsyy2277bZt5moBAACg+ZXLSblcLsjW3J/W/NciFr5de+21s9deP83rb7xRt2/48OFZ+5vr1jtvr5/+X371q1/mkUcebeoSAQAAAOao2TtZOnTokIsvvijHHnd8Phn7Sd3+2trajBw5st629dZb5d///k8mTZrUjBUDAAAAzKzZQ5azzz4zDz/8SJ588qk5nrfmmmtmjTXWyA033jjH89q0aZNOnTrVbR07dqxkuQAAANBi1JbLhdq+7pp1utAO22+fNddYM9tsu91Xnrvnnnukf//+6d27zxzPO/SQg3P00UfNtL9nz546YBZgSy7ZvblLoMDcPzSG+4fGcP/QGO4fGsP9UxkdOnRo7hJoYs0Wsiy11JI544zTssee/5cpU6bM8dx27dplpx13yAUXXvSV4/7l4ktyxZV/rXvdsWPH9OvbO0OGDMmECRMaWTVFNmjQoOYugQJz/9AY7h8aw/1DY7h/aAz3T+N16tSpuUugiTVbyLLWmmtl8cUXz/333fu/Ylq1ysYbb5R9f/7zLLd8r9TW1iZJtt12m7Rv3z633HLrV447derUTJ06db7VDQAAADArzRayPPnUU/neFj+ot+/8887NgIEDcskll9UFLEmy5x575IEHH8zHH3/c1GUCAABAi1X+bCuCotTZGM0WskycODFvv/12vX2TJk3KmDFj6u1fbrnlsvHGG2Wvvfdp6hIBAAAA5lqzP13oq+yxx+754IMP8vjjjzd3KQAAAACz1axPF/qyXXbdbaZ9f/jDH/OHP/yxGaoBAACAlq22PGMrgqLU2RgtvpMFAAAAoAiELAAAAAAVIGQBAAAAqIAWtSYLAAAAMPfKtTO2IihKnY2hkwUAAACgAoQsAAAAABVguhAAAAAUVG25nNpyMZ6NXJQ6G0MnCwAAAEAFCFkAAAAAKkDIAgAAAFAB1mQBAACAgiqXyykXZK2TotTZGDpZAAAAACpAyAIAAABQAaYLAQAAQEF5hHPLopMFAAAAoAKELAAAAAAVIGQBAAAAqABrsgAAAEBBlctJbW1zVzF3FoAlWXSyAAAAAFSCkAUAAACgAkwXAgAAgIIql8spF2QeTlHqbAydLAAAAAAVIGQBAAAAqAAhCwAAAEAFWJMFAAAACqq2XE5tQdY6KUqdjaGTBQAAAKAChCwAAAAAFWC6EAAAABRUubaccm0xpuEUpc7G0MkCAAAAUAFCFgAAAIAKELIAAAAAVIA1WQAAAKCgassztiIoSp2NoZMFAAAAoAKELAAAAAAVYLoQAAAAFFS5XE65XIx5OEWpszF0sgAAAABUgJAFAAAAoAKELAAAAAAVYE0WAAAAKKiacjk1BVnrpCh1NoZOFgAAAIAKELIAAAAAVICQBQAAAKACrMkCAAAABVWuLadcW4y1TopSZ2PoZAEAAACoACELAAAAQAWYLgQAAAAFVVuesRVBUepsDJ0sAAAAABUgZAEAAACoACELAAAAQAVYkwUAAAAKqlwup1wuxmInRamzMXSyAAAAAFSAkAUAAACgAkwXAgAAgIKqrS2ntiDPRi5KnY2hkwUAAACgAoQsAAAAABUgZAEAAACoAGuyAAAAQFEV6BHOKUqdjaCTBQAAAKAChCwAAAAAFWC6EAAAABRUbXnGVgRFqbMxdLIAAAAAVICQBQAAAKAChCwAAAAAFWBNFgAAACgoa7K0LDpZAAAAACpAyAIAAABQAaYLAQAAQEGVy+WUCzIPp1wuRp2NoZMFAAAAoAKELAAAAECLUlVVlWOPPSbPPft0Bg54J888/VSOOOLw5i7rK5kuBAAAALQoBx/86+zzs71z+BFH5u23+2fttdfK+eedm/HjxuVvV1/T3OXNlpAFAAAACqq2XE5tQdY6+bzOjh071ts/derUTJ06td6+9ddfL/ff/0AefviRJMnQoUOz4w475Jvf/GaT1NpQpgsBAAAATaZf397p//abdduhhxw80zm9e/fJppt+OyussHySZLXVVs2GG26QRx59tKnLnSc6WQAAAIAms86662fixIl1r7/cxZIkF198STp36pQnHn8sNTU1qa6uzh/++KfcccedTVjpvBOyAAAAQEGVy+XCPBr58zonTpyYCRMmzPHc7X/84/zkJzvl4IMPzdv9+2f11VfL6aeflhEjRuSWW25tinIbRMgCAAAAtCi/+c3JufjiS3PX3XcnSd56660svfTSOfSQg1t0yGJNFgAAAKBFade+fWrLtfX21dTUpFTVsmMMnSwAAABAi/Lggw/lsMMOzbBhw/L22/2zxhpr5BcHHZgbb7ypuUubIyELAAAAFFRtecZWBPNS5ymn/CbHHXdMfn/2WVl00cUyYsSI/Ova63L++RfMt/oqQcgCAAAAtCgTJ07MqaeenlNPPb25S5knLXsyEwAAAEBB6GQBAACAgqqtLae2IPOFilJnY+hkAQAAAKgAIQsAAABABQhZAAAAACrAmiwAAABQULXlcmrLxVjrpCh1NoZOFgAAAIAKELIAAAAAVIDpQgAAAFBQ5XJSLsg0nIKU2Sg6WQAAAAAqQMgCAAAAUAFCFgAAAIAKsCYLAAAAFFRt7YytCIpSZ2PoZAEAAACoACELAAAAQAUIWQAAAAAqwJosAAAAUFTlcsrlcnNXMXeKUmcj6GQBAAAAqAAhCwAAAEAFmC4EAAAABVVbW05tbTGm4RSlzsbQyQIAAABQAUIWAAAAgAoQsgAAAABUgDVZAAAAoKDKteWUC7LWSVHqbAydLAAAAAAVIGQBAAAAqADThQAAAKCgyuVyyuViTMMpSp2NoZMFAICZtG3bNu3atm3uMgCgUHSyAABQz2YrrJhVx09JqbacgT075uF330ltbW1zlwUALZ6QBQCAOqsu1SPrvz8y1Z9OTpKsPXJMPl62Z/oMGdTMlQFAyydkAQCgziLVresCliQpTZuehUpmmAO0VOVygR7hbE0WAAAWJCOnTcm0jh3qXte2a5PRtdObsSIAKA6dLAAA1On/4QdZeNnls+r0hVMqlzOwXXVeeW9gc5cFAIUgZAEAoJ7nB72XF0qllEolC94CtHC15XJqCzINpyh1NoaQBQCAmZTL5QVi7jwAVJI1WQAAAEi7du3So8fy6dChY3OXAoWlkwUAAGAB1759h6zQ6wcZObpTllnu01SV3mnukqCQhCwAAAALuG7dls0HIzqlXE5GfNQ+q62yZJLXmrss5kK5dsZWBEWpszFMFwIAAFjAjRk7IossPDVJ0qXz9EyaNLZ5C4KC0skCAACwgPtk7Mdp3erpLLpwj0wY/1E+ri01d0lQSEIWAAAAMmrUBxk16oMkybLLLtvM1cxaVamUH31r9azcrUPGT67Nv597J6PGfNLcZTWr2tpyamuL8TS4otTZGEIWAAAACuE7666Svb/ZLq1K05MknduvmovveD61HjlPC2FNFgAAAAqh5yLt0qr0v9VTl+9aSrt27ZqxIqhPyAIAAECTqK6uTof27dO69f+3d9/hVdb3/8dfZ2SQhAAhCVkQtgFkCIigQqt11SLW1l1c1frtsLVq6+yvKl1qrRNt62zrrgNbrVWRJaggeyUEsiBkkYSQkHlOzn3//kBTjiFhnHGfO3k+rutcl+dzj/NKro/3Rd7nM6KO6fqqBo985v/Wiyndb6q1rS1Y8YCAMV0IAAAAABBSsbExOnPqaE3IjFdqvNTgcWhLRYuWbCzRnpp9R3yfxWvyldBnvEalxqqhzdQ7K3fIMHrBvsDdMA1Tpk3WOrFLzkBQZAEAAAAAhExsbIyuP/cEnTyoTQ7HgVEnabHS6ESHjk/L0VOLClRaWXNE9/L5fFqwdEMI0wKBYboQAAAAACBkzp523BcFls7HRvdr07knDg9/KCBEGMkCAAAAAAgJt9utiZlxHSNYDmVyukPpqQNVsac2jMl6DtM0ZdpkdyW75AwEI1kAAAAAACERGxurtIRDDGE5SKLLq/TkfmFKBIQWRRYAAAAAQEh4vV41ero/p10uNTS1hicQEGIUWQAAAAAAIdHW1qbNld1vsby5xqWi0sowJQJCizVZAAAAAAAhs3TjLo0bNELDEjoPaWlod2tpXnWv34Y5EGzhHFkosgAAAACwzOCsdKWnJathf5N2FOyUz+ezOhKCrLSyRk8tcevcKUN0QqoU7/KqXS5tqXVrSW61Pt9SaHVEIGgosgAAAAAIu/T0FH179gxNnZiuvn3d8rZLm7ZWa9kn+dq4abtaWlqsjoggKiqt1BO7qzQ0c5AGJfVVQ3Ob8ovLKKqhx6HIAgAAACCsEhMTdP3VZ+r4MUkdbVFuU6NHpGnW9OGqqDxZC97bpP+8/4mFKRFspmmqeHelinez/kowGaYpwyZbI9slZyAosgAAAAAIq1mnTNS4nAF+bY3N0thR/dU/MUpJ/aPkdo1VXv4uFRWXWpQSAI4euwsBAAAACKvRI9PkcDj82gzDobg+LklSQnyU+iZEKzEx3op4AHDMKLIAAAAACKuoKFentrhYU3mF+2V+MZ1gY+4+bcsvCXMyAAgM04UAAAAAhFVFZb2kVL+2qCiH2tpatGqDR9W1rXri6ffU2tpqTUDARtjCObJQZAEAAAAQVqvWbNesU4aqX98ov/aYGIeionxa8VmeavfWWZSu50pIiNesU8YrqX+cinfW6LPPt8gwDKtjAT0KRRYAAAAAYZW/vVgvv75OF19wggYOiO5o93gMLVxarPc++MzCdD1TVFSUrr/qTE2fNFAOh9TuG6aU5ES9/e4Kq6MBPQpFFgAAAPgZnJas86YOU6zLoUW5ldq4Y5fVkdADLV66Wvk7dumkqTlKSopXa4tXGzeXaGteoaWjK+Lj42QapppbWizLEAoTjh+paRMOFFgkye2STp46RO8vjFFrW5u14RAQwzjwsgO75AwERRYAAAD4mT1lqGalHFgLo+8J6cotqZDX67U4FXqisrIqvVVWZXUMSZLT6dTMs2cr5biJMg1DZZtWaeXSj6yOFTQx0VFyOL/a5pLT1XkRYgDHjt2FAAAA4CfK+b+tdWNc6rTVLtATjZ98olJPmCVH/AA5+w7U4OlnaMRxOVbHCpr1m3ZoW1Fjx3vTlNZurlRzc7OFqYCeh5EsAAAA8PPR1nL1nZylPm7pw2118ng8Vkc6Ji6XS8dnZyonKU5RDofq2g2tKqlSTd0+q6MhAsUm9pPfUA9XtPr2G2BdoCBraWnRsy8u0+kzxyupfx8Vl9bpvQ8/tzoW0ONQZAEAAICf3KIy5e+slNPptO00oZQB/XTJ+GxNVoPcxoFv780Y6RsTB2lhfbre37BNptnztxLFkaut2K0hnhYpuo8kyWisU1VZqcWpgmtXaaX+9nKl1TEQbKZpn+eZXXIGgCILAAAAOvH5fPL5fFbHOCbR0dGaOyFbJ/j2+rU7JCW3N+m7faPUMm6klm7ZYU1ARKSCvFzFxf9bmaPHyTR8Ktq0VhVlu62OBcBmKLIAAACgR5k6YrAmGPu6PB5teDV9YIJWuN1qb28PXzBEvE1rVmnTmlVWxwBgYyx8CwAAgB5lTP9Yuczu9wkdbTYoZ3BGmBIBAHoLRrIAAACgR4l1Hn43JJfhU0JMTBjSAEBomaYp07DHWie2WTsmAIxkAQAAQI+yv737USyS5HFFq7aRrWsBAMFFkQUAAAA9ysbqRrU7ux+wvcWIV2EZu6wAAIKL6UIAAADoUTaX7NaK9OP1NcdeHWriUL2rjz7eXS+jFwxbB9DzGaZpm+eZXXIGgpEsAAAA6FEMw9BLa/L1fvsA1bjj9eU/6dudLuW6Bugf5V6tL9xlaUYAQM/ESBYAAAD0OG1tbXpl5WZ9OKC/JmamKMopVbd4tak4j22be5j0jAxNmjpNhgytXblSNXv2WB0JQC9GkQUAAAA9Vm3dPi2u22d1DITIwJRkXXjNtRqUPVySNDxnrF76y5/V0FBvcTIAvRVFFgAAAAC2NOq4MR0FFknKGDFao8bkaO2qVRamAsLL9B142YFdcgaCNVkAAAAA2FJrS7MM3//+ajPavWra32hhIgC9HUUWAAAAAEHhdDg0a8wIfXfScRo3JCPkn7dp/XqtWfyBPM1Namtq1KqF/1V+Xm7IPxcAusJ0IQAAAABB8bUxI3R5fLNchk/TM/vq8bYU7aqqDtnnGYahd954Q58sXixTpvbW7g3ZZwGRyjANGaZhdYwjYpecgWAkCwAAAICgSIt1yWUcmL6T5NmvrAGJIf9M0zRVW1tLgQVARKDIAgAAACAoCva3ab+7jySpOCZJ2ytDN4oFACIR04UAAAAABMXqHSVqyMpQWt8EbSuqUM2+BqsjAUBYUWQBAAAAEDT5u8uVb3UIoBcxDck0TKtjHJFesCQL04UAAAAAAACCgSILAAAAAABAEDBdCAAAAAAAmzLMAy87sEvOQFBkAQAAAGxqUOpATZ4wQjExLpVX1mvdxu1qb2+3OlavEBUVpanjRygjJV4yHSoqr9OmvBL5fD6rowGwEEUWAAAAwGYcDofO/+bJOntWtgb2c8nhkNp90sb8UXr5rZXatbvK6og92vicobrgayM1Js0hl/PAV/NeI0kbdmXrjY9yVVxaaXFCAFZhTRYAAADAZmadMlEXfXOYkvsfKLBIktslTRmbqLkXzlB0VJS1AXuw4dnpuvbcUTo+Qx0FFkmKcho6cahT1553vFIG9rcuIABLUWQBAAAAbMTpdGraxMGKjnIc8viE0X114uScMKfqPWZNHqaMfl0vLDEqVTp1ysgwJkJvZxqmrV49HUUWAAAAwEbi4uI0fHBil8ddTikjvV8YE/UecXFxmjgsodtzHA5p3NB+cjr5Uwvojfg/HwAAALARn8+nlrbuF1f1ell8NRRiY6M1IO7wf0Il9nEqiilbQK/EwrcAAACAjbS0tGjrjloNHpR2yOONLaY2bS2V5ApvsF6gtaVNdc2G4g4zUKi+2ZDX6w1PKPR6dpqGY5ecgWAkCwAAAGAzi5dv1c7ytk7tPkP66NNyFZXstiBVz9fc0qINRY3dnmOa0tbiehmGEaZUACIJRRYAAADAZop3luvJf3yihZ9Wac8+n5paHdpS0KQX3t6uV99aZnW8Hm3Z2iKV1h160WFJyq80tXztjjAmAhBJmC4EAAAA2FBRSZmeKilTQkKCoqPd2r+/iSkqYVBSWqln34vWBbNGaVymU+4vtnH2+Jxat9OrNxZuVW1dvcUpAViFIgsAAEAPkJLUXxMyUhTlkHY1tGhbaTnTFXqJxsbup68g+HK379L2onKdMG6YslL7yjQdKty9V1u37+T/O4SdaR542YFdcgaCIgsAAICNOZ1OzTlhjGbGejTA0yiHJE98tDZkHq83cktUva/B6ohAj9Te3q7VG3dotdVBAEQU1mQBAACwsTPGjdRsd72SviiwSFK0z6Np3mpdMi5bLhc7zAAAEC6MZAEAALCp6KgoTU10y+XxHfL4RN8+jc/O1IaiXWFOBgAIF8MwZdhka2S75AwEI1kAAABsalBSf2WbzV0ed/vald03NoyJAADo3SiyAAAA2JTPMGUc5p9z7WHKAgAAKLIAAADYVmXtXm1TXJfHm90xyqth4VsAAMKFNVkAAABsyjAMfVbdqFEDYxTva/M7ZsqhlWaiispKrAkHAAgL0zRkmvbYOtwuOQNBkQUAAMDGPt9RIodjqE5NTtJxZqOchk+V7gStb3XqnQ15VscDAKBXiZjpQjf85McqLyvVvffe7dc+Zcpk/fOfr6pgR77yt+XqrTffUGwsC7gBAAB8adX2Ej2yapseKPXooUrp/g279ObaXHm8XqujAQDQq0TESJaJEydq7tzvaWturl/7lCmT9dKLL2j+/Cf0q1/9Wj5fu8aOHSvD6PlDjAAAAI6Gz+dTwe4Kq2MAAMLNkOSzOsQR6gV/ylteZImLi9P8+Y/pl7fepht/9jO/Y/fcc7eefe55zX/iyY62wsKibu8XHR2t6Ojojvfx8fHBDQwAAIAeLTo6Wi6XS21tbXy5BwA4KpYXWX7/+99q0aLFWr58hV+RZeDAgZoyebIWvLVA//7XAmVnZ6ugoFD33/+APl+9usv7/fSGn+iWW27u1D548GA1NzeH5GdA5EtPT7M6AmyM/oNA0H8QCPpPeA1JS9b4rCQNSXQrxmlqr8ehHbUtWl9QptY2j9Xxjhr9B4Gg/wRHXFzXO8ChZ7K0yHL+nDkaf/x4nfut2Z2OZWcPkSTdfMvN+s2832rr1q268KIL9dprr+j0b5yh4uKSQ97z8flP6K9PPd3xPj4+XuvXrVFpaakaGxtD8nPAHnbu3Gl1BNgY/QeBoP8gEPSf8Dh5/EhdOtRQkqtM+mKjpjRJY/pLaaMH6JnFm9XY3GJlxGNC/0Eg6D+BS0hIsDoCwsyyIktGRrrmzbtHl152udra2joddzoPrMn74osv6bV//lOStGXrVp16yim69JJL9If77j/kfT0ejzwe+33TAAAAAGukJPXXxWP6KcnVuYjikDQtsVE1J+XoxSXrwx8OAA7DNE2Zpml1jCNil5yBsKzIMmH8BKWkpOiD9//7vzBut6ZPP0nXXH21Zs76uiRp+/btftcVFBQoMzMznFEBAADQg83IyVKqu+tRKg5Jk1Oc+k+/RNXVN4QvGADAdiwrsixfsUKnnX6GX9vDD/1JBYUFeuKJP2vnzp2qqKjUiBEj/M4ZPnyYFi9ZGsakAAAA6Mmy+kbJoc4jqw+W5m7R6KxUraLIAgDohmVFlqamJuXn5/u1NTc3q66urqP9z3/5i35xy83Kzc3V1q25uuiiCzVixEj94PofWhEZAAAAPZDD4Tiy80KcoztRUVE6bmiGYqPdKimvUU1dvYVpAEQS0zBlGvaYhmOXnIGwfHeh7jzzzLOKjYnRvffcrf79+ys3N1eXXXY5CzABAAAgaMr3e2UmdV9EqfbFqqC8LGyZDva1yTn62qh+Gt3PI6cM1XoGanWFobdW5Kqxid0zASCSRFSR5cKLLu7UNv+JJzX/iSctSAMAAIDe4LPt5frG4GwNdLYe8rgpaV2NLBk9MvOE0bpmcrxiD8qWEt2mb2ZLCTHj9dR/1qjd5wt7LgDAoTmtDgAAAABYqbK6Vm/kN6vBiO50zJS0sTFe76zZEfZcbpdLM0cmKdbZ3umYQ9LJaV5NPC477LkAAF2LqJEsAAAAgBWWrt+mvfuH6KThyRo7wKk+LlMVLU5trGrR4k25amhsCnumYVlpyhng7fK4Wz7lZCRqbW4YQwGIPDZak0V2yRkAiiwAAACApE0Fu7SpYJfi4+PkcrnV0tIir7frIkeoRUe55JTR7TnuI1y0FwAQHkwXAgAAAA7S1NS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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 118 + }, + { + "cell_type": "markdown", + "id": "912f6b34", + "source": "**M9 — Weather phenomena by month**\n\nMonthly count of station-days with each binary weather phenomenon: snowfall (`NEIG`), thunderstorms (`ORAG`), fog (`BROU`), frost (`GELEE`), and ice on the ground (`VERGLAS`).\n\n**What to look for:** strong seasonal peaks — snow and frost in December–February, thunderstorms in June–August, fog peaking in October–November. These are the phenomena most directly linked to train delays in the TARDIS dataset.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "ba4622d8", + "source": "eplots.plot_weather_events_by_month(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:43.896741669Z", + "start_time": "2026-05-25T22:41:43.651691387Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 119 + }, + { + "cell_type": "markdown", + "id": "90fcaccc", + "source": "**M10 — Precipitation by season**\n\nLeft: violin plot (log scale) of daily precipitation intensity on rainy days, by season. Right: percentage of station-days with any rainfall per season.\n\n**What to look for:** autumn and winter show more frequent rain; summer is drier but can produce more intense convective events. Both frequency and intensity matter for flood risk on rail infrastructure.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "5b91080a", + "source": "eplots.plot_seasonal_precipitation(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:47.025895455Z", + "start_time": "2026-05-25T22:41:43.898027242Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/pochy/projects/tardis/scripts/cleaning/meteo/visualization/eda_plots.py:340: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.violinplot(x=\"season\", y=\"RR\", data=rainy, order=_SEASON_ORDER,\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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M9es3YPnylZDJZejYoQN+nPUD+r3YHxs3bgKQXJgTGjoXJ06cxJdffoW4+HiUDAlB3Tp1XP5eeXHOSZQfMWlLRZZer4PJxwcKpQJ169bF8OFvIzY2Fn//vdE5j1KpxJo1azD5synOafXq1kWfPr0xePBQl8Trzn924deFv6B9u3ZYsXIldDodPh0/DocOH0bXrt1zfOtPyZIhaNS4KW7cuAEA2LxlK/5YuxqDB7+JcePGp7vM8uUrMOWzybh46RKWP/aFvHHjJqxd+4fLtA0bNmDN6lVo07YNli1bjkuXLmHP3r0YOPAVbNu2Dbt27c40xj59eqNcuXIYPGQoVqxIfi/m//wLli9bgvffexe//bYIDx8+dM5frFgxNGrcFHfv3gUAnD17DvPmzUGzZk+7vO+PGzz4TVgsFrRp2x6HDx8GACxesgQ7d2zLND4AeKZlS5w8Ge48qHrciRMncfToMXTu3Anr1v2Vbk+y0qVLo0XLVs4D8qxcvnwZL738CgBgXmgoHtx/gAED+uP773/AiRMns7WO7MaW2pAhg+Hr64tOnbpg7759AIAFCxZi49/rMXbMx/jrr79cBg1TKBRo9WxrZ+uCu3fv4tNPx6dJej6uTJkyAJDhLeUBAQFo2KiJM8kMAKIoov5TDVzaJCxY+Cu2bd2Ml196CSPfeTeLdwM4duy4y3w+Pj7o1aun86By9Zq1+PTTT/FCl86YNPkz53wvdOmMhw8f4o8//sxw3SaTCW++8To2/P03+vd/yTn9/fffw1vDhrrMe/LkSTRu0tTlvVy6dBm2bd2MXr16Ytq0b5zTXnihC5o2bYotW7Y45+3yQhfs3r0HV69dAwA807IFNm7ahPfe/yDL9yA3srtf9OvXFyEhJfDSS6/gr/XrAQC//LIA6//K+H1LrWXLFli48FeMH/+pc9rM7753/lsURUyZMhkRERFo9WzrDPtHh4bOxw8/zHKZdvDAIXz33QzUq1cPe/fuTXc5tVqNT8ePw8KFv7q8l4uXLMX2bVswbOiQNO/xpYuXUK5s2Wy9PiIiyp3MjrmLFSuGd0aOwJTPv8D//jfducwff67D+r/+RP/+L7pM9/Pzw3vvf4BfflngnNaje3c0adIEY8aOc0ngpR73IbvH7w5lypRBp84vOL9zVq1ejf379qBnj+4Y/+mELI+ZBw8Z6lJc8PPPv+DOnTvo3/9FTPn8C8THx0Mmk+G9d9/BoUOH0a17D2fLsxMnTuCbaVNdkradO3dCkyaN8cIL3Zzf5QBwMjwcn0/5DHXq1Mb+/QfSff+lUik+GvUhTpw4iS4vdHWek+zdtw8/zw/Fq4MG4suvvsa27dvhH+CPfn37urS0yEpY2AkMHuJ6rJTb73KHrN5/AFiydBm++HwKypQujTNnzzpfa/v27fDHn+sybZvRp09vlC5dGq++9jrWrFkLAFi4YCE2/L0+zbwTJ012+VsuWLAQFy5cwAcfvI9igYG4eu0aHj58iHXr/kLHjh3x6YSJzmPEKpUro3z58vju++Sq7HLlyqJEiRIY9OprLudlU1OOHbMSEOCPsePGY9asHwEAP/+yAGvXrMKHH76PpcuWITExMdvHn+lp+UwL3Lt3D716981w3IxXX3sVISVK4NnnWuP8+QsAko8Xb964iTfeeB0//DAL164l77uNmzzt8t7NnTsPf637E6++OsiZtG3atAkUCgX69u2H6FTFU6nl1TknUX7E9ghUZC1e9BuOHTuCA/v34fvvZuLhw4d4+ZVBziSpw/z5P7s8bteuLe7evYut27bB5OPj/Dl65AgePHjgvN27adMm0Ol0mDF9Zq56Na1b95dLLIcPH8aBgwfRskXzXLxauHxhSqVS+PgYceH8Bdy5cwdVq1bN1TpbtmiBmzdvYuXK//qRJSYmYvbsudBqtWlup161arXzyxMA9qQciJUoXjyL7TTH/gMHnAlbAIiOjnZ+aWfm7r17CAjwf6JbYnbt3p3thC0AzJsX6vJ4zpy5AJLfL09q2aI5Dh485HIwHxMTgwULFqJ48eJpbhFftGixSxJ1z57s/T18fHyQkJCQ4WjCf/zxp0vCFkjuWebYliAIMBqNkEok+PfIEVStWiW91aQx/2fX9gZ79u6FyWSCVqsFkFw5uX79enTq9N/tcKIookOH9li37q9Me6w1bZJ8wDhnzjyX6elVYMbHxzsPxkVRhI+PETEPH+LsuXMurQC2bd+O69dvoEuXTs5p5cuXR+VKlbB8+XLntLt376F8uXIoWTIky/cgN7K7XzRv1gzXrl93JmyB5P7CCxb+mq3t3Lt3DzVr1oSfn1+6z1epUgUlSpTAjz/NznTAv9SfVQqFAiYfHxw4eBAAMt1XmjZtCqPRiJW//+7y2WxLSsKhQ4fRMJ3qmbt378JkMmXr9RERUe5kdszdps3zEEURq1evcfnsjoyIwPnz59Pc7fHo0SMsWuTaNqBN2+dx69Yt5/FWerJ7/O4QHh7ukliMjo7G2XPnUDyLY6TUcTpoNBqYfHywZ89eqNVqlClTGgBQvXo1mEwmLFi40GWMiuXLV+D27Tsu62vfrh1Onz6DM2fOuMTvaDXRsGHa7ziH6tWrwWq1InT+fJdzko0bN+H06dNo2bJltl5TRh4/PgNy/13ukJ33f/XqNYiNfYTOXTo7pzVr9jTMZrPLcVZ6WrZogRs3bjoTtgAQ++gRFqS6GJDea1GpVDD5+GDf/gMQRRFVUh33LVm6DAEB/i7Vul26dEZsbKwzQXvvXnIlbbOnn3Zp8ZVdCQkJ+DnV+52QkICff1kAq9WKatWSz+eye/yZnnt370GtVqNp06YZztOuXVvs2bMXd+/cddkXt+/YAalUivr16zvnTf3eGQwG6HU67Nm71+V42XFM+Nxzz6Zpr+CQV+ecRPkRK22pyPpw1Ec4d+4cEhMTERkZhbNnz7pUzgHJX4TXUl3lBoCSJUvCYDDg2NF/012vxWIB8N+tXyczqVjMzPnz59NMO3fuHNq3a5er9SmVSgwdMhg9enSHv7+/S08tfTZ7KD0uKKgYzp+/kOZ9O30mOcEZVCzIZfrVq1ddHju+TNPrBZxasWLFcPDQoTTTz6ZcVc/MjBkz0aRJY/z5xxqcO38e27Zuw4oVK7Fv//4sl3W4fCnzdgiPO/fY3+7CxYtISkpCUHBQBku4R0bvk+NWvaCgYi4VtI9fab/j+HsYM/97ZOXS5fTfr27duuK1V19FmTKlXfqvZefWOyDz/efBgwcAgCVLl6Jjxw6oX78+9uzZgyZNmsDX1xdLl2V+kBoUVAxA2v930dHRaU6cHD3x+vd/EcWDgyGV/vdVmrq9it1ux4oVK/Dii/2cA6V06dwJsbGPsDrVScIXX36FuXN+ws4d23HixEls2bIFS5cty1FVdmayu18EBRXDxQtp/xYXUqoosjJh4iRMmzoV+/ftwZEjR7Fp0yYsWbrMWZEdEpL8mZhZFTeQ3DN4xPC30bFjB1itVpfnMvusKpWS9H68B6BDeoliQRDSfH4REZF7ZXbMXbJkSYiiiH92pt8OKOGxW5lv3LiZZnDTkBIlcPbs2UwH583u8bvD1atpqxHv3rmb7WOkcuXK4f333kWjRg2h1+tdntPpkh87jpMvXLjg8nxSUhKuPNaKq2TJEJQrVw7HjqVf/WoxmzOMxbGd9I6bz5w5i3r16mb+YrJw+XLaO69y+13ukJ33/969e9jw9wZ07tQJX3zxJYDk1gjXrl/Hjh07M11/UFCxNO87kFyR+bhigYF459138GyrVml68ur0/72Wbdu24caNm+jSuTN27NgJQRDQsWNH/PXXemcV6OXLl/H9D7Pw+muvokuXztizZy/Wr9+AZcuXZ9kaAQBu3ryZpgjh3LnkmIODgnHw4KFsH3+mZ17ofLRv3w4LF/yMa9evY9vWbVi1eo1LxW6pkiVRuVKljPfFVP+XnnmmJd56axgqV6rk0gM4dRXvqlWr0btXT3z11ZcYNepD7NixE3/8+SfWrFnr/JzIq3NOovyISVsqsg4dOpzlbT+pK+ocRFFEZGQkhgwdlu4yGfUb9bYJn45Hjx7d8eNPs3HgwAHcv3cfdtjx3cwZENIZFMETkpLSv80mo6uq7nDmzBk0afI0WrV6Bs2bNUObNs9jwID++Prrqfjyq4wHV0gtO71zM/P4PpRRkii9wSk8KaOTm6z+Hrdv34ZMJoNGo3G5FcnhUWza96tLl874ZtpU/PnnOnz3/feIiroFmy0JQ4YMdl7gyIotG/Fu2bIVEREReKFLZ+zZswcvvNAZN2/exHY39IZ1GDZsKN5/7138+utv+OLzL3Hnzh3Y7DaMGzs2zeB4S5Yuw5tvvoHWrVtjxcqV6Ny5E/7e+LfLgfmePXvQsFETPPfss3j66abo1asnBg0aiA8++BALf/3NbXF72urVa7Bnz148/3xrPN20Kd5443W8+eabGDhoEDZv3pLt9fzw/UzUqVMH3333PY4dD0PMw4cQRBG/Lvwl0/8jjueGDB2GyMjINM+n18PMYDCkqQonIiL3yuyYWxQF2Gw29On7Imy2tN/zjx9n5PaYLKfH70npxAIAArI+ZtXr9Vi+bAnu37+PL778ChcvXkRcXByqVqmC0aM/gijm/LhXFEWEhZ3AuPHpt0i7lskt756W3nFfbr/LHbL7/i9dugwd2rdHnTq1ceLESTz7bCuEhs532wVZURTx228LYTQaMXPmTJw5cxYxsTHw9/fHN9OmurwWm82GlStXonfvXvhw1EeoW7cOAgL8seyx6tbx4z/F4sVL8Nxzz+Lppk3x6afjMGToYLRv3wHXr994PIRcyc7xZ3pu3bqFVs+2RrNmT6N58+Zo0bwZevbsgcVLluDtt0cASD7u3rp1G2Z+91266ziXkviuV68e5s2dg92792DUqNG4GXETiYmJ6NG9O7qkqo5+9OgROnfpikaNGqJly5Zo3uxpdOzYAdt37ECvXn0ybNOQGW+ccxJ5CpO2RDl08eJFNGnSGPv27c/0wPFCSvVghfLl072Sm5WSJUummVaqVKks+5pmdJDStm0bLFmy1KXfpEKhSHP1PycHOVeuXEXFihXSVKs5ep5euZp5rNl19erVdN+P0qVLZ2v52NhYrFq1GqtWrYZMJsNPP83CsGFD8b/pMxAXFwc73FtpV6pkSVxOVW1aMiQEEokEVy4nvx+Oq72Pv/epR851yElsV69eRelSad8Tx214V65cTfNcbpw5k1yhWbx4cLarQdu1bYsLFy7ilYGDXKa/M3KEW2JysNlsWLHyd3Tv1g0TJ01G6+eew4KFv2Z5wOd4b0qWLOnSq9dkMqWpqmjXtg127NyZpg+v3qBPkwAMDw/H0aNH0blLJ1y7fh1BQUEYPfqTNNu/c+cOFi1ejEWLF0OtVmPF8qUYMXKEW5K22d0vrly5irLl0vZ3DclB24aIiAiEhs5HaOh8mM1m/PXXn3hr2FBs3rwFF1KqeMuXL4/t23eku7zBYECTJk3wxRdfuvR3y07rCMdn7q2oWxmu/3HBxYMRFpb1IHhEROQZFy9chCiKuHz5Es6dS3uXWXZcuHgRtWrWhFQqzXCQoewev+dERsfMDRs0gMlkwisDX8WePXuc04ODg13mcxwnh4SE4J9/djmnSyQSBAUF48SJE85pFy5eRKVKlbL9/ZbedkqXLo2dO/9xea506VJuOz50eJLv8pzavHkLoqKi0KVzZxwMOQS1Wo2ly5ZludyVK1dRvnz5NNNLly7l8rhixQooXbo0hr31NpYu/W+9TZs0SXe9S5Yuxeuvv4ZWrZ5Bi+bNERUVhS1btqaZ7+TJkzh58iS++eZb1KlTG6t+X4l+/frh88+/yDRuPz8/qFQql2rbUqWSY049UHJ2jz/Tk5CQgA0b/saGDX9DEARMnjwRL/brh2nTvsWFCxdw8eJFaDTqLPfFtm2fR1xcHHr36Yv4+Hjn9B7du6eZ1263Y8eOndixYyfGjQOGDh2CDz94H40aNcT27Tvy7JyTKD9iT1uiHFq1eg2kUinefvutNM9JJBJnIm7r1m24f/8+hgwZDIVCkePttG79HPz9/Z2Pa9Sogdq1amFTFhVrMTExMDyWDASAJJstzdXFl18a4HJrd/LyyQcBBn3Wt49s3LQJfn5+6Njhv1FgJRIJXn5pAB48eJDlQGbZtXHTZtSpXRs1atRwTjOZTOjcuVOWyz6ecEtISMDpU6chCILztTt6sxoMad+33BgwoL/L45dfTh7YatPmzQCABw8e4NatW3gqVc8nABjQ/8U068pJbBs3bUatWjVRu3Yt5zSVSoU+ffrg0qVLOHXqVM5eSAYOHEjuSVa9Wvb7BDuqelPvgzVr1kDt2rXdElNqy5Yug4+PEVOmTIZWq8XyLFojAMn9v+Lj4/HyywNcpg8alHY05qSkpDT/l9q1a4vAgIB017102XI83bQpBg18BdHR0c79wOHxfTQmJgbnL1yAIlULiSeR3f1iy9atCAwIwHPPPuucT6FQoE/vXlluQxRF6B673fHWrVu4eeMm5PLkz7+jR4/i4sWLGDTwlTQXLBzS208AYNDAzEfFBpKrrO/du4ehQ4ek+VwDkKZ3rU6nQ0iJEhkO3EJERJ73x5/rkJiYiBHDh6f7/OPfkemuY+2fMJvNeOmlARnOk93j95zI6JjZUSWa+rtMJpOlOc77998jiI6ORp/evSGRSJzTu3TpnOZ1r169BoEBAejTp3eaOJRKJVQqVYZx/vvvEURGRqJfv74u7amaN2+GcuXKYeNG9w7M9CTf5bnZ1sqVv6N9+3bo3r0bwsJOZKugYOOmTQgI8Ee7dm2d01RKJfr07fPY+pMv+j/+Wl4Z+HK66z1x4iSOh4Whd69eaNPmefz++yqXO9u0Wq3L39qxTFJSUraO+2QyGfr16+v6uG8fREVF4ciRoy7zZnX8mZ7H9zu73e58Px37zurVa1CnTh08/fTTaZbX6/XO15eUZIPdbockVTVyUFAQWrd+zmUZo9F1mwBw/Phxl23m1TknUX7ESluiHNq9ezfm//wzhg0dgsqVKmHrtm1ITEhEyVIhaNe2HT4ZMwZr1/6BBw8eYOzYcfjqqy/xx9o1WLFyJe7evYtKlSpBpVI6bzHJyPnzF7ByxTLMn/8z5AoFBqZ84c6cmf6tKA5Hjh5FkyaN8eqrg3Dzxk1cunwJhw4dxt9//40XXuiCe/fv4dSp06hTuzaaNGmcpjLw+PHjSExMxJuD34BOr0N8XDx27NyZbtuHBQsWol/fPpg69StUq1YVly9fRtu2bVGvXj18/MmYdG+dz42ZM79D1xe6YMEvP2P27NmIiYlFn769ceXq1Sx7E/26cAEiIiOxb99+REVGomzZshgwoD82btzkjM9xkPP+++/h999XITEhEes3bMh04KrMBAcHY97cOdi8ZQtq166Fri+8gOXLVyAs7L+KiYULf8XQoUPw5Ref498jR/BU/frOK+Wp5SS26dNnoFPHDvjl5/mYM2cubt+5g+7duqJ48WAMHPSa224Vu3TpEk6cOIkmTRrjt0WLsrXM339vRNu2bTBn9k/4e+NGFA8ORr9+fXHq1GloNGq3xOVw7PhxnDhxEh3at8epU6dw9NixLJeJjo7G9z/MwrChQzB//jxs2rgZVapURvPmzdPs+3//vREjRgzH1K+/wr79+1GxQgV07tLZWUn6uBUrVmL0R6PQps3zmBc6P00V0JbNm7Br124cOXIEd+7cQbXq1dCubVvMnTvPOU9QUBD27tmFRYuXYPjwnFUnZ3e/+PnnX/DSgP6YOXM6fvppNiIiItC5c2fnoCWZ7T5arRYH9u/FmrV/ICwsDA8fPkTTJk1Qs2YNjB03PmV5Oz748COEzpuDDevXYdGixbgZEYEyZcqgfLly6N2nr/PA+80334BUJsONGzfwdNOmKF48OOONp3jw4AE+/PAjfPvtNPy17k/8vmoVbt26hWLFiuGZli2wb99+fDT6Y+f8TZo0hiiK+OuvtCNFExFR3rh48SI+//wLjBr1IYKDg7Bu3V948PAhigcHo/XzrbHgl4X4/ocfMl3HkqVL0bXbCxg3dgxq1qiBPXv3Qq1SoUmTJggNnY+/1q/P9vF7TmR0zLx//37cvn0H30z7GrPnzIXdbkfXF7qkSfwlJCTgq6++xsSJE7Bk8SKsXr0awcHB6N69W3L/zlR3Wy1dugzt27fDlM8mo1HDhti3bx9EiQRlypRB+/bt0Lt33wxbUCQmJmLipMmYNvVrLFu2BCtX/g6r1YqBr7yMS5cuYVY6g64+iSf5Ls+NJUuXYeDAV9C4USNMmDAxW8ssXLAQL700AN9Mm4ZqVaviZkQEur7wQprj6zNnzuD8+Qv45OPR8Pf3x4P799GmbRsYMzn/WLp0GcZ8kny8sWz5CpfnGjdqhAkTP8WaNWtx7tw5SCUSvPDCC0hKSsLaP7Le/65fv4HBb76B4KAgnDt3Dh06dECVKlXwzrvvpTm+zOr4Mz1ffvEFjEYjdu7ciespFbovvTQAx44dcw7K/N133+PZZ1thfuhcLF68BEeOHoVarUaFChXQrm0b1K/fANG3b2Pjxo14/bVXsWDBL1ixciUsZjMGDOiP8xcuoHKlSs5tDh/+Fp6qXx9/b9yEq1euwGyxoH//F3Ht2jXs3Zs8iG5enXMS5UdM2hLlwgcfjMKRI0fRr29ffPjB+0hMTMTly1ewfPly7Nv33wBXv/62CFG3bmHI4Dcx/O23kJCQgDNnzqY7Iv3jli5dBpvdhkEDX4HZbMbhw//io9GjERERkely48aNx+dTpuD9996FSqXCosVLcOjQYXzyyVjYkmzo0rkzFAoF9u3bjx49e2HhAtcRXyMjI/HBBx9iyJAh+OrLLyCVSvFC127YtStt0vbRo0d4oWt3fDTqQ3Tr1hVarRZnz57D28NHYPHiJdl8N7MWERGBrt16YMKn4zF48GDcvnMbP//8C27euImvv/4y02V//mUBunTujNdeHQS1Wo3r129gzpy5mPbNt855/v33X0z5/Av069cXzZs1g0QiQb36DbJsRZGR1994E+++OxKjPvwAiYlJmDNnLj597CBy6rRvYDab0bZtG7Rv3w6bN29Bn7790gyQkZPYoqKi0KFjZ3z00Yd46aUBUCiUOHHiBPoPeAkbN27K1WvJyG+LFuHdd0ZCqVRm6zbDRYsXw+prRb++ffD0001x+vRpDB32Ftq1a4eGj4346g5Lly7Fxx+PznIAstSmTPkccY8eoV+/fmjUsCEOHjqEXr374Of581zm+/Z/06FWq9GpUyd06NAeR48exYsv9seoDz9Md71RUVHYum0bnmnZEsvSuWVv9py5eLZVKzRt2gQKhQJXrlzBlM+/wHfffe+cR6PRAAAibt7M9utJvf3s7BcxMTHo1r0nJkwYj4EDX8HDhw+xdOky7Nu/H7N/+hFxcRn/nWNjYxEaOh9PP90UbZ5vDVEUceHCBXzw4SjMn/+zc76tW7eiW7ceGDFiOF577dXk+S5exMIFC53zDB4yFBM+HY8B/V9M7pu2bRv69H0Rhw9lXRG7YuVK3Lh5A0MGD8Ybr78GuVyBGzduYO/evfjtsdHG27drhz179mZ7IDwiIvKM6TNm4uy5c3h10CCMGJFccXvt2jVs27oN6zdkfWHNZrOhX7/+GDZsKDp36og2bZ7H7du3sXffPpw4+V/VZXaP37Mr42Pm3eg/YAA++eRjvP/eu7hz5y6WL1+OHTt24tdfF7isY+68UAiCgNdeexUffzwaYWEnMOCll/Hp+PGIexTnnM9ut+Pllwfi1UED0bVrV7Ru/RxiYx/h0qVLmP3TbOdgVBlZvHgJYmNjMWTwm/ho1IeIiY3Fn3+uw8RJk9MdqPNJPcl3eU4dPXoUJ0+Go2zZMli+YmW2lol99Ag9uvfEhAmf4uWXX0JsbCyWr1iBTZu24NeF/50bJSYmov+AlzDh03EYOmQw4uLi8Oef6zB33jxs/HtDuutevnwFPhr1IS5evIjDhw+7PHc8LAxbt2xFq2eegb+/P2IfxSIsLAx9+72IgwfTDhr7uLt37+Ktt4dj4oTx6N27N6KiIjFq1GgsXPhrmnmzOv5Mz7Lly9G3Tx/07/8i9Ho9IiMjsWr1anz11VTnRf7YR4/Q5YVuGDZsKNq1a4uuXV/AgwcPcO7cOXz51de4l9I3d+fOfzBixDsYPORNjBs7BpcvX8bESZMRHBTkkrRdv34DgoOC0bNHD5hMPoiOvo3du3fjy6++cvbgzatzTqL8SAgIDOKwyUT5iKOibvz4CVlWFhB5i06nw65dOzFxwkT8+lv2qm3z0iuvvIxxY8egfv0GuOrFwTkcZv/0IypUqIBGjdPvgZaV/v1fxOiPRqFBw8aIiopyc3SZGzjwFYwfNxa1atfFjRvuGSDD26xWK3bv+gdvvjkYf61npS0REeUfgiDg6NF/8ecff+Ld9973djgFwvq//sTtO3fQo0fWLZ08zeTjg0OHDmDqtG8wLVVPX2940uNPIvI+9rQlIqIcu3//Pr6b+R3eeOP1fDkSa6+ePbFr9+58kbD19fVFy5Ytsl3lkJ6GDRtg9py5Hk/YKpVKl8cKhQL9+vbB2XPnCk3CFgAGDXwFJ0+eZMKWiIi8Kr1xL7p16wqTjw/+2bUrnSXocdWqVUOVKlVcBgrzpu7du0MikXg9HnccfxKR97E9AhER5cqMmd9hRhY9lvOSSqXCc88+i4YNG6BSpYoYMCD9QSLySnBwMOrWrYPevXohMTERP/+yIOuFMvDaa2+4MbKM/fTjLFy9dhXHj4dBr9OhS5cuKFu2LAYPHpon288rkyZ/5u0QiIiIUKtWTYwbOwar16zF7du3UbVqFfTq2RMnTpzEmjVrvR1evla+fHlUq1YVr736Km7cuIlVq1Z7NZ5GjRqiXNmyGDZsCNat+yvXbdaelDuPP4nI+5i0JSKiQsFsNmPmzOm4c+cOvvn2f1i/If1eY3mlQYOnMG3q17hy5Qreens4IiMjvRpPdmzZuhW9e/VCl86dIYoSnD59Cq+/8abXT4SIiIgKo8uXr+Datet45eWXYDQacefOHSxdugwTJ01GQkKCt8PL19q1bYPhw9/G2bNn8ebgIc6BU71l+Ntvo06d2ti3fz9Gf/yJ1+IoiMefRJQx9rQlIiIiIiIiIiIiykfY05aIiIiIiIiIiIgoH2HSloiIiIiIiIiIiCgfYU/bLPj5+eHhw4feDoOIiIiIskGj0eDmzZveDiPP8ZiViIiIqODIzjErk7aZ8PPzw6GD+70dBhERERHlQM1adYpU4pbHrEREREQFT1bHrEzaZsJRrVCzVh1WLhARERHlcxqNBocO7i9yx208ZiUiIiIqOLJ7zMqkbTY8fPgQDx488HYYREREREQZ4jErERERUeHBgciIiIiIiIiIiIiI8hEmbYmIiIiIiIiIiIjyESZtiYiIiIiIiIiIiPIRJm2JiIiIiIiIiIiI8hEmbYmIiIiIiIiIiIjyESZtiYiIiIiIiIiIiPIRJm2JiIiIiIiIiIiI8hEmbYmIiIiIiIiIiIjyESZtiYiIiIiIiIiIiPIRJm2JiIiIiIiIiIiI8hEmbYmIiIiIiIiIiIjyESZtiYiIiIiIiIiIiPIRJm2JiIiIiIiIiIiI8hEmbYmIiIiIiIiIiIjyESZtiYiIiIiIiIiIiPIRJm2JiIiIiIiIiIiI8hGptwPIjwb0748BA16EKDKnTURERERERERERHmLWcl0zAsNRbPmLdGmbXtvh0JERERERERERERFDJO2RERERERERERERPkIk7bkdgqFAv5+vt4Og4iIiIiIiIiIqEBiT1tyu5CQ4tCo1YiJjcW9e/e9HQ4REREREREREVGBwkpbcjuNWg0AkEokXo6EiIiIiIiIiIio4GHSloiIiIiIiIiIiCgfYdKWiIiIiIiIiIiIKB9h0paIiIiIiIiIiIgoH2HSloiIiIiIiIiIiCgfYdKWPEjwdgBEREREREREREQFDpO2RERERERERERERPkIk7ZERERERERERERE+QiTtuRBdm8HQETkNlKpBNWqVoGfr9XboVARIZNJvR0CERERERF5CZO2RERE2aBWqyGVSlCsWKC3Q6EiwGIxo2qVytBptd4OhYiIiIiIvIBJWyIiIqJ8xs/PFwBgNBq8HAkREREREXkDk7bkQYK3AyAiIiqQhDT/ICIiIiKiooRJWyIiIiIiIiIiIqJ8hElb8iAOREZERPRE+FVKRERERFQkMWlLHsR7OomIiIiIiIiIiHKKSVsiIiIiIiIiIiKifIRJWyIiIqL8ijetEBEREREVSUzaEhEREREREREREeUjTNoSERER5VcciIyIiIiIqEhi0pY8iGeaREREREREREREOVXok7aBgQFYumQxtmzeiL83rEe7dm29HVIRwkZ8REREREREREREOSX1dgCelpiYhDFjx+L48TBYrVas+/MPbNy4CbGxsd4OjYiIiIiIiIiIiCiNQp+0jYiIQEREBAAgMjIS0bej4eNjZNKWiIiIiIiIiIiI8qV83x6hfv36CJ03BwcP7Me1q5fR+rnn0swzoH9/7Nn9D86dPY01q1ehRo0a6a6ratWqkIgSXLt23cNRExEREREREREREeVOvk/aqtUqHA87gVEfjU73+Q4d2mPMmI/x9dfT8FzrNggLC8PCBT/DbDa7zGc0GvHtN1Px3vvv50XYRERERERERERERLmS75O2mzdvweeff4F169al+/yrgwZh4cJfsWjxYpw+fRrvf/AhYmMfoVfPHs555HI55sz+CdNnzMT+/QfyKnQiygMB/n4IDAzwdhhERJ7BMT2JiIiIiIqkfJ+0zYxMJkO1alWxffsO5zS73Y7tO7ajdu3azmnTpn6NnTt3Ytmy5ZmuTy6XQ6vVOn80Go3HYici9wgI8Ie/n6+3wyAi8gy7twMgIiIiIiJvKNADkZlMJkilUkRGRbpMj4qMQpnSZQAA9erWRYcO7XHixAm0bp3cD3fosLdx8uTJNOsbOmQwRo4c4fnAiYiIiLKDlbZEREREREVSgU7aZsfeffsQFFwiW/P+b/oM/DDrR+djjUaDQwf3eyo0IiIiIiIiIiIiojQKdNI2OjoaiYmJsFqsLtMtVgsiIyMzWCpj8fHxiI+Pd1d4RERERE+G7RGIiIiIiIqkAt3TNiEhAUeOHEXjxo2c0wRBQOPGjXHgAAccIyIiIiIqakaOGI5rVy+7/Gzbutn5fJ8+vbF0yWKEnwzDtauXodfrs1znkCGD8cfaNTgVfgJH/j2EObN/QunSpVzmGTPmExw/dhT79+1B586dXJ5r164tQufNccvrIyIioqIh31faqtVqlCwZ4nwcXDwYlStXwp3bd3D12jXM+vFHTJv6Nf49cgSHDh3GoEGvQK1S4bdFi3O9zQH9+2PAgBchigU6p01EREREVCSdPBmOHj17OR8nJSY6/61SqbBlyxZs2bIFo0Z9mK31NXjqKcwLDcXhw/9CKpXggw/ex68LF+DpZi0QGxuLVq2eQedOHdGrdx+UKlkSX331JbZu2Yro27eh0+nw/vvvoWePXllviIiIiChFvk/aVq9eDcuWLnE+Hjd2DABg0eIlGD58BFatWg2zyYR33xkJq9WK48fD0KdvP0RFReV6m/NCQzEvNBRarRanwk888WsgIiIiIqK8k5SUmGG7tJ9+mg0AaNDgqWyvr0/ffi6P3357BI4d/RfVqlXDnj17ULZMGezatRtHjhzBkSNHMG7cGAQXL47o27cxevQozJ//M65eu5b7F0RERERFTr5P2u7atRuBxYIznWfuvFDMnReaRxEREREREVF+VrJkSRw8sB9xcY9w4MBBTJ78mVuTpo6WCnfu3AEAHA87gT59+sBgMKB48eJQKpW4cOEC6tWti6pVquLDDz9y27aJiIioaMj3SVsiIiIiIqLsOnjoEN4ePgJnz56Fr68fRo54GytWLEPzFs/g4cOHT7x+QRAwbtwY7N27F+Hh4QCArVu3Yvny5fhj7Ro8evQIb709AjExMZg8eRLeHj4C/V/sh5dffgnR0dF4970PcOrUqSeOg4iIiAo3Jm2JiIiIiKjQ2Lx5i/PfJ06cxKFDh7B3zy50aN8Ov/626InXP2nSRFQoXx6dOndxmf7V11Px1ddTnY9HDH8b23fsQGJiAt56axhatGyFVs88g2+/mYrWz7d94jiIiIiocONIW0REREREVGjdu3cP586dR0hIyBOva+KET9HqmZbo2q0Hrl+/keF8ZUqXRpcXuuDzz79AwwYNsHvPHkRHR2PV6tWoVq0aNBrNE8dCREREhRuTtukY0L8/tmzeiD/WrvZ2KERERFSUCd4OgKjgU6vVKFGiBCIiIp5oPRMnfIrWrVujW/ceuHz5cqbzTpnyGcaNG4+YmBiIEglkUhkAQCZL/i2RSJ4oFiIiIir8mLRNx7zQUDRr3hJt2rb3dihERERUlNm9HQBRwfPJx6Px1FNPISgoCHXq1Mac2T/CZkvCipW/AwCsVisqV66EkimVtxUqVEDlypVgNBqd61i06Fe8NKC/8/GkSRPRpUtnDB4yFA8ePITVaoXVaoVSqUyz/d69e+FW9C1s2PA3AGDfvv1o1KghatWqiVcHDUR4eDju3bvnuTeAiIiICgX2tCUiIiLKr1hpS5RjAQEBmDljOnx8jLgVHY19e/ehXfuOiI6OBgC82K8vRo4c4Zx/5YplAIC3h4/A4sVLAAAhJUrAZDI55xnQ/0UAwPJlS1y2lXoZALBYLHhr2FB06NjZOe3w4cP44YdZmD8/FLeiovDW2yNARERElBUmbYmIiIjyK1baEuXYG28OzvT5xwcMS0/9pxq6PA4sFpytbUdFRaVZFgCmTvsGU6d9k611EBEREQFsj0BERERERERERESUr7DSljyI5UFEREREhVGVPt97OwTyoGMLXvd2CEREREUek7bpGNC/PwYMeBGiyEJkIiIiIiIiIiIiylvMSqZjXmgomjVviTZt23s7lAKOo6cQERERERERERHlFJO25EFsj0BERERERERERJRTTNqSB7HSloiIiIiIiIiIKKeYtCUiIiIiIiIiIiLKR5i0JSIiIiLykJEjhuPa1csuP9u2bnY+r1AoMGniBBw7dgSnT53Ej7N+gMVi8WLERERERJQfSL0dABVm7GlLREREdPJkOHr07OV8nJSY6Pz32LFj8EzLFnjttddx7959TJz4KWb/NAsdO3XxRqhERERElE8waZuOAf37Y8CAFyGKLER+MuxpS0RERJSUlIjIyMg003U6HXr17IHBQ4Zi585/AAAjho/Etm1bUKtWTRw8eCivQyUiIiKifIJZyXTMCw1Fs+Yt0aZte2+HQkREREQFXMmSJXHwwH7s+mcHpv/vWxQLDAQAVKtWFXK5HNu373DOe+bsWVy5cgW1a9f2VrhERERElA+w0pY8iO0RiIiIqGg7eOgQ3h4+AmfPnoWvrx9GjngbK1YsQ/MWz8DX6ou4uDjcu3fPZZnIyCj4Wq0ZrlMul0MulzsfazQaj8VPRERERN7BpC15ENsjEBERUdG2efMW579PnDiJQ4cOYe+eXejQvh0ePYrL1TqHDhmMkSNHuClCIiIiIsqP2B6BPIiVtkRERESp3bt3D+fOnUdISAgiIiOgUCig1+td5rFaLYhIpweuw/+mz0C58hWdPzVr1fF02ERERESUx5i0JY9hypaIiIjIlVqtRokSJRAREYEjR44iPj4ejRs3cj5funQpBAUF4cCBAxmuIz4+Hg8ePHD+PHz4MC9CJyIiIqI8xPYI5DEC2yMQERFREffJx6OxfsPfuHLlCvz9/fDOyBGw2ZKwYuXvuH//Pn79bRHGjvkEd+7cwf37DzBxwnjs378fBw8e8nboRERERORFTNoSERFlAy9EEVFuBAQEYOaM6fDxMeJWdDT27d2Hdu07Ijo6GgAwduw42G02/DhrFhQKObZs2YoPR33k5aiJiIiIyNuYtE3HgP79MWDAixBFdo8gIqJkgsikLRHl3BtvDs70+bi4OIz6aDRGfTQ6jyIiIiIiooKAWcl0zAsNRbPmLdGmbXtvh0JERPkEK22JiIiIiKggGDL4TVy7ehnjxo0BAAQFBeHa1cvp/rRr1zbD9ajVakyc8Cn279+Ls2dOY8vmjejXr6/LPGPGfILjx45i/7496Ny5k8tz7dq1Rei8OW5/fUUFK23JgzgUGRERERERERFRXqlevTr69u2D42FhzmnXrl1D9Rq1XObr26c33njjdWzatDnDdY0d8wkaNWqEoUOH4fLlK3j66aaYPGkibt64ifUbNqBVq2fQuVNH9OrdB6VKlsRXX32JrVu2Ivr2beh0Orz//nvo2aOXx15rYcdKW/IgVqURUeEh8CONiIiIiIjyMbVajenTv8W7772Pu3fuOqfbbDZERka6/Dz/fGusXr0GMTExGa6vTp06WLJ0KXbt2o0rV65gwYKFCAsLQ42aNQAAZcuUwa5du3HkyBGs/P13PHhwH8HFiwMARo8ehfnzf8bVa9c8+poLMyZtyYNYaUtEhQf7nBMRERERUX42adIEbNy4Cdu378h0vqpVq6JKlSr49bffMp1v//79eLZVK/j7+wMAGjZsgFKlSmHr1m0AgONhJ1CtWjUYDAZUrVoVSqUSFy5cQL26dVG1SlXMns3WCE+C7RHIg1iWRkSFhyAwaUtERERERPlTxw4dULVKVbRp2y7LeXv16olTp05h//4Dmc43+uNP8Pnnn+HggX1ISEiAzWbDu++9jz179gAAtm7diuXLl+OPtWvw6NEjvPX2CMTExGDy5El4e/gI9H+xH15++SVER0fj3fc+wKlTp9zyWosKJm3Jg1hpS0RERERERETkSYGBARg/fix69uqNuLi4TOdVKpXo3Kkjpn3zbZbrffmll1C7Vi30H/ASrly5gqfq18ekiRNw8+ZNZzXvV19PxVdfT3UuM2L429i+YwcSExPw1lvD0KJlK7R65hl8+81UtH4+40HPKC0mbcmDWGlLRIUIP9KIiIiIiCgfqla1GqxWK/5a96dzmlQqxVNP1cdLAwYgpGRp2Gw2AEDbtm2gUqmwZMnSTNepVCrxwQfv4ZWBg7Bx4yYAwIkTJ1G5cmW8/tpr6bZgKFO6NLq80AXPPtsavXr2wO49exAdHY1Vq1dj6tSvoNFo8PDhQze+8sKNSVvyIFbaElHhIXAkMvIG7ndERERElIXtO3ageYtnXKZN/fornDl7BjNmfOdM2AJAr549sX7DBkRHR2e6TqlUCrlc7rIsACTZkjIc72PKlM8wbtx4xMTEQJRIIJPKAAAyWfJviUSS49dWlLFBH3kQTzQp73CQKPI0kckz8gIJP9uIiIiIKAsPHz5EeHi4y09MTAxu376N8PBw53whISF46qn6WLgw/QHItm3djNatWwMAHjx4gH/+2YWPR49GgwZPITg4GN27d0PXF7riz3Xr0izbu3cv3Iq+hQ0b/gYA7Nu3H40aNUStWjXx6qCBCA8Px7179zzw6gsvVtoSUYGVOlHLKkjyNF4YIG+QSLjfEREREZF79OzZA9evX8fWrVvTfb5MmTLQ63XOx2+8ORijPvwA0//3PxiNRly9egVTPv8c8+f/7LKcxWLBW8OGokPHzs5phw8fxg8/zML8+aG4FRWFt94e4ZkXVYgxaZuOAf37Y8CAF3mC/oSYRKO8xP2NPE0QuY+RF/CzjYiIiIhyoWu37mmmffbZFHz22ZQMlwksFuzyODIyEsNHjMxyW1FRUaj/VMM006dO+wZTp32TjWgpPcxKpmNeaCiaNW+JNm3bezuUgo3nmeRhzGVQXpKI//Vf4kU9yisCv0yJiIiIiIoknnWSx/BEkzzvv32MCVzytNSJWiZtydMcdw/ws42IiIiIqGhiewTyGN5KTJ6WuiUC2yOQp4mpPtM4KBl52n9JW14gICIiIsoPrkxv5e0QyIOChmzwdghp8EyAPIZJDfI00SVpy48z8qzU+5jASlvyMNGZtOV3KRERERFRUcSzTvIcnmiSh6Wu5hZZ2U0exvYIlJccFwa4rxER5T9DBr+Ja1cvY9y4MS7Ta9euhcWLf8OZ0+EIPxmG5cuWQqlUZrquAf37Y8/uf3Du7GmsWb0KNWrUcHl+zJhPcPzYUezftwedO3dyea5du7YInTfHHS+JiIjyIZ4JkMewOog8zaU9Ansok4dJJP99ZUqYSCMPc3y+8YIUEVH+Ur16dfTt2wfHw8JcpteuXQsLfvkZ27ZuQ5u27dGmbTvMnTcPNpstw3V16NAeY8Z8jK+/nobnWrdBWFgYFi74GWazGQDQqtUz6NypI3r17oMJEybhyy++gMnHBwCg0+nw/vvvYdSo0Z57sURE5FU86ySPYdKWPM31dnXub+RZokTi/Lck1b+J3M3lAgH3NSKifEOtVmP69G/x7nvv4+6duy7PjR07BrPnzMX0GTNx6tQpnD17DqtXr0F8fHyG63t10CAsXPgrFi1ejNOnT+P9Dz5EbOwj9OrZAwBQtkwZ7Nq1G0eOHMHK33/Hgwf3EVy8OABg9OhRmD//Z1y9ds1zL5iIiLyKSVvyGPa0JU/jQGSUl6Sp2yNI+PVJniOKklT/5r5GRJRfTJo0ARs3bsL27TtcppvNZtSuVQu3oqKw6vcV+PfwQSxbugT16tbNcF0ymQzVqlV1WZfdbsf2HdtRu3ZtAMDxsBOoVq0aDAYDqlatCqVSiQsXLqBe3bqoWqUqZs9mawQiosKMZwLkMTzRJE9LXY3G/Y08jT1tKa88/tnGi1JERN7XsUMHVK1SFZMnf5bmuRIlkqtfR4wcgQULfkWfPv1w9NgxLFr0K0qWDEl3fSaTCVKpFJFRkS7ToyKjYLVaAQBbt27F8uXL8cfaNZg29Wu89fYIxMTEYPLkSXj/gw/R/8V+2L5tC35fuRzlypVz7wsmIiKvk3o7ACq8mNQgTxMFJtEo7wgib1mnvJG60jb5sYikpCQvRUNERIGBARg/fix69uqNuLi4NM87jkN/+WUBFi1eDAA4dvw4GjdqhJ49emDyZ1Nyve2vvp6Kr76e6nw8Yvjb2L5jBxITE/DWW8PQomUrtHrmGXz7zVS0fr5trrdDRET5D7Mc5FYibx+mPCS6DAzFJBp5jlQqhSAI0NuTBxORMmlLHiR57PuTA98REXlXtarVYLVa8de6P3Hp4nlcungeDRs2wCsvv4xLF88jMjIKAHDq1CmX5c6cOYNixYqlu87o6GgkJibCarG6TLdYLYiMjEx3mTKlS6PLC13w+edfoGGDBti9Zw+io6OxavVqVKtWDRqNxg2vloiI8gueBZBbpT6xZBKNPC114kwi5f5GniNN2b/MjqStlDeqkOc8fucAL4ISEXnX9h070LzFM2j1bGvnz+HD/2L5ihVo9WxrXLx4Edev30Dp0qVdlitVqiSuXL2a7joTEhJw5MhRNG7cyDlNEAQ0btwYBw4cSHeZKVM+w7hx4xETEwNRIoFMKgOQ3B8X4J1ARESFDc860zGgf38MGPAib7fOhdS3D7MHH3la6v2NA9+RJzmStBZbEs6LUiZtyaMcFz2NainuxCSmaZdARER56+HDhwgPD3eZFhMTg9u3bzunf/f993hn5AiEhYXh+PEwdOvWFaVLl8GgV193LrNo0a9Y9+c6zJ0XCgCY9eOPmDb1a/x75AgOHTqMQYNegVqlwm+LFqeJoXfvXrgVfQsbNvwNANi3bz9GjhiOWrVqokXz5ggPD8e9e/c89RYQEZEX8KwzHfNCQzEvNBRarRanwk94O5wCJXXiTBSZRCPPstvt//3bi3FQ4edI0hrtNoh2O5O25FGOylqdUpKStOVFZCKi/O6nn2ZDqVBg3NgxMBqNCAsLQ69evXHx4kXnPCElSsBkMjkfr1q1GmaTCe++MxJWqxXHj4ehT99+iIqKclm3xWLBW8OGokPHzs5phw8fxg8/zML8+aG4FRWFt94e4fkXSUREeYpnneRWQqpErSDwJJM8S2SlLeURR5JWBTvUsCOGSVvyIMdnm04pBRDHnrZERPlQ127d00ybPmMmps+YmeEy9Z9qmGba3HmhzsrbjERFRaW77NRp32DqtG+yES0RERVEPAsgtxKQOmnrxUCoSJC4DHzH24fJcxxJW7XdDrXdDpmMSVvyHMdnm1GdvJ+xpy0RERERUdHDswByq9R9bNnTljwtdaL28dHWidxJ5kjaplTaSiQSfsaRxzg+20yalIFl2NOWiIiIiKjIYakQuZVLewTezkkelrrSlkkN8iS5PDl5prPboLPbACSP1BwfH+/NsKiQkqYkbc3alKStlJ9vRFT49fnfWm+HQB60YGhbb4dARFTgMKtGbpV6cB4Zez6Sh6W+ZZgD9ZAnyWRyyO12KADoUgbAcyRyidxNJkvet0qYlS6PiYiIiIio6GCWg9wqdaJWFEUm0sijpBIpAAGCKLISjTxKLpc5K2z1Kb/lTKSRh8hkUmgVEvjq5QAAOXsoExEREREVOcyokVs5Km0Fuc7lMZEnSKUSSBVKSJVa7mvkMYIgQCqVQofkCltNym8pk7bkITKpFHqVBGq5CFEAJPx8IyIiIiIqcpi0JbeSPJa0lUhY/UieI5FIIJErIZXLua+RxzguCGhSKmy1qXraEnmCKJFAJUse7E4pE/n5RkRERERUBDFpS27lGBhKkKmTH0u4i5HniKIIUSqFKJW7DEpG5E6OpK06pZet4zf7dpMnCIIAURShlCd/pmkUEufAZEREREREVHTwjJPcypGkFWSq5MciTzTJc0SJBBKZAqJEyv7J5DHSlH7JqpS2CI7f7KNMnuC4SKBXJv/WKiRs/0JEREREVAQxy0FuJTqqgaQplbZMapCHCIIAURCSk7ay5MF6eAsxeYIjYaZKqbCVApDa7SkD4RG5lyxl0DGjOvm3QS3lwJ5EREREREUQzwDIrWRSKSCRQ5AqAYC3dJLHOBJpUoUKMoU6ZRr3N3I/eUrvWm1KhS0A6Ow2yOXsaUvuJ5Mm71cGtSN5m/yYPZSJiIiIiIoWJm3JraRSKQSp8r+kLW/pJA9x9BOVqTSQqjQAAKmUSQ1yP7k8uZLbmDIAGQAYYIdMJoMgCN4Kiwopx/5m1shSfktdphMRERERUdHApC25lVQqBSSK5B8AUhmTtuQZspQqR5laB7laBwCsfCSPUCiSP8/0qZO2Kf9WKJhII/eSp+xTFp0s5XfyY+5rRERERERFCzNq5DYSiQSCILhU2spY+Uge4qg6U2gNECWsRCPPUSoV0NptSP1pZkpJ2ioVSjx6FOedwKhQUqR8jll1jt8yl+lERERERFQ0sNKW3MZR5SjI1BAkMkCUsgcfeYyjz6hcrYcspdKW+xu5myiKkMvl8LUluUy3pjxWqZTeCIsKMblcBoVUgEaR3KPbrE25q4B3EhARERERFSmstE3HgP79MWDAixypOYccCTNBmjwolCDTQC5/5M2QqBBzDkSmVENMGfCOA5GRu6lUKgCANVVrBACwOCptmbQlN5PLZDBp/kvQ6pVSiAIvShERERERFTXMSqZjXmgomjVviTZt23s7lALFmbSVqZ2/pVIpB+ohj0idtJUqkvc5tuMgd3NU0lrsrpW2GtihstugUqq8ERYVUoIgQCqTwSdV0lYUBRjVUufdBUREREREVDSw0pbcRu5M2iYnMQRp8m+ZTIb4+HivxUWFk0wmhSiVQ5KSqJUq1JDGsrKb3EulTE7aOiptV0tViBZEmOw2WO02xCjkEAQBdrvdm2FSIeG4+GnSuB6emTQy3HrAnrZEREREREUJK23JbZz99lLaIyCl4pa3dJInSGUyyNVa52OZWuvsq0zkLiqVEoLdDnNK0jZaEHFTlCBaEGG1JUEQBGdil+hJKRSug5A5WHXJFwdYbUtEREREVHSw0pbcRvZ4pW3Kb7lMhodei4oKI0EQIJNKnQOQAYBcrYNEEgFRFGGz2TJZmij7VCoVzHYb0uuW7Ki+ValUiImNzdvAqFBSyBUAAF+9HD9suYLrd+IRYJTDT588Xa5QID4hwZshEhERERFRHmGlLbmNXCYDRDkEMflagGNAMpmM1wbIveRyGQRBgEJndE5TaI0pz/EWYnIPuUwGiUSSZhAyB2tKn1sVByMjN3FU2vrq5bh+Jx4Xbz3C9Tvx8NXLXJ4nIiIiIqLCj0lbchuZTO4chAz4b0AyGW9ZJzeTp1SjORK1AJwJXCY1yF1UquS7BXwfG4TMwWK3QbDbnfMRPSllygUAf4Pr55i/Ifkzj604iIiIiIiKDiZtyS0kEhFSqQSCPHXSVgPgv9s9idxFqUzep5R603/TUv6tVHB/I/dwVNBabeknbWUAfOw2qFlpS26iVqlg1sqglrs25AjyUUAAeIGAiIiIiKgIYdKW3EKhSE5aCAqDc5ogVQASuTPBRuQujsSs0mD+b1rKvxWsRCM3UakdlbYZ90j2tdsgkUo54CI9MalUAplMhuKmtJ9hcqkIf4McajU/34iIiIiIigo2GyW3cCRmBbke8Zd3wh53D4JCD0FhgCIxzsvRUWGjVCoBQYBSb8LZbb/j0d1bUOpNEEQJbx8mt9GqNdDYbdDAnuE8/vYknIQMGo0ad+7czcPoqLBxVNEGm9O/0BlsUuL63XjIZDIkcDAyIiIiIqJCj5W25BbKlESZqDTAHncP9kfRsMfdg6jQJw8YxVvWyY3UajVURgtEiRSP7t5CTPQNPLoXDbWPL28fJreQy+WQyWUIsiVByGS+oJTWCVqNJm8Co0JLnfLZlV6lLQAUNydPV6v5GUdEREREVBQwaUtu4bhdXZDrXaY72iWwRQK5i0Ihh0QiQmMKSPOc2uwPURRYbUtPTKtNTsIG2xIznc/PngSp3Q6tVpsXYVEhplYn94QPsaSflC1pTUna8sIUEREREVGRwKQtuYVSqQQkiuQ+tqkICv1/zxO5gaOSVm32S/Oc2uyfPA8r0egJOSpng+zpD0LmIAEQaE+CSqWEKPIrlXJPrVZBp5TApEm/c1UJc8pnn1qd7vNERERERFS48AyTnlhy+wO5yyBkzudYaUtu5qiiVRmtaZ9LmcZKW3pSGo0GcrsdlkwGIXMIsiVBEARo2CKBckkikUChUKCkRQVBSL8hh0Yhga8uuX8yEREREREVfkza0hNTKBQQBAGiMp2krUwDCBIoFUyikXsoVY6krSXNc45prOymJyGKIpRKBQLtSdn6kgxMqcbVsMKbcslxB0EJS+afXSEWFaRSKWQyWV6ERUREREREXsSkLT0xRxWtoxVCaoIgQFDomUQjt1EplZDIlZAq01Y1SuVKyNQ6qFTc3yj3NGo1BEFAgC3z1ggO/inzsdKWcsvxmRWcwSBkDkGm5O9b3k1ARERERFT4MWlLT8yRkE2vPULydD0kEpGVQfTEkltxKKD28c3wFmKV0Qq5XM7+opRr6pTbzwOy6GfrnB92GG1JvG2dcs2RhC3mk3kroWI+yfMpeWGKiIiIiKjQY1aDnpij0lbMIGkrsq8tuYmjFYcyndYIDv+1SOD+RrmjSRnoKbuVtgAQYLdBKpVCLpd7KiwqxJQqJSQi4KfPfP8J8mGlLRERERFRUcGkLT0xtUoFiDJAmn4/R0Fp/G8+oifw3yBk2UnaMqlBuaPVaqC32aCBPdvLBNoSk5dliwTKBbVKiUCjAhIx/TsIHCw6GWQSgS1giIiIiIiKACZt6YmIogiFQgFRZc7wdnVRZQYAqNW8dZiejOP2c7XJP8N5HM+xvyjlhlKphFQqRQl7Yo6WK57SSkGr03oiLCrEFAo5RFGSZT9bABAFAcEmJVQqZYbfuUREREREVDgwaUtPRK1WJQ82pjZnOI8gUwNSJfs90hPTarUQJFJozAEZzqP28YUok0OnZdKWck6XknQtnoPWCABgsdugtNu431GOOS4wlfbN3t0opX1VEASRd68QERERERVyTNrSE3H0fnRU02ZEVFkgl8shlUrzIiwqhCQSCVQqJXS+QRAlkgznE0QROr/izopJopzQaR1J25xV2goAStiSoFAo2NeWcsTxPVramv2kLQBeCCUiIiIiKuSYtKUnos520tbRIoGVQZQ7Wo0GgiBA51c8y3kd82hZ9Ug5pNNqYLQlQZeDfrYOjkSvI/FLlB0ajQZyqYCgbLRHAIAyvmrnckREREREVHgxaUtPRKNRA1JVcguETAgpSVsN+9pSLjmqyrS+QVnOq0uZh0kNygm1SgWJVOrsT5tTjuV07GtL2SSKIlQqJUpZVVkOQuZg0khhVElZaUtEREREVMgxaUu5JpVKIZfLs6yyBQBRZQLAJBrlXnKCQoDGknE/Wwe12R8QRF4koBwxGPQAgNI5bI3gYLLbYLDZYNDr3RkWFWIatRqCIGS7ny0ACIKAMn4qyOVyyGQyD0ZHRERERETexKQt5ZqjmkzU+GY5ryBVQFAYoNVqOOI15YpGo4HKxwqJTJHlvKJECo3ZH2qNmvsbZZvRaIDEbkeJXCZtBQBlbAmQSCXQskUCZYPje7SCf84uaJYP0LgsT0RERAXbkMFv4trVyxg3boxzmkKhwKSJE3Ds2BGcPnUSP876ARaLJct1vfvOSBw6uB9nz5zGot8WomTJEOdzcrkc3347DeEnw7B9+1Y0adLYZdk3Xn8NEz4d77bXRURPpkgkbWf/9CPCjh/FrFnfezuUQkWv0wEARG3WlY+O+URR5C2dlGNqlQqiKEJrDcz2MlprMYiC4Oy7TJQZuVwGlUqFEFsinmQYsTIpCV+jgdW2lDWdTguJAJT1y9nnVEUmbT1KJpOhfft2GDt2DGbOmI6ZM6Zj7NgxaNeuLaubiYjI7apXr46+ffvgeFiYy/SxY8egVatn8Nprr6PLC93g5++H2T/NynRdg998Ay+//BI++GAU2rVvj5iYWCxc8AsUiuTCl759eqNa1apo36ETFvyyEDOm/8+5bHBwMHr36Y3Ppnzu/hdJRLlSJJK2P82ejbfeHu7tMAodvV4HSJUQFIZsze9I7jqSvUTZ5WMyAgCMQWWzvYwhqAwAwORj9EBEVNgYDMmfY2VyWWXrEGRPgsJuc7ZaIMqIKIpQq9Uo46eGQpazw7FAoxx6lYTfpx4QEhKCrVs2Y9rUqahSuTJEUYQoiqhSuTK+mTYNmzdvREhIiLfDJCKiQkKtVmP69G/x7nvv4+6du87pOp0OvXr2wNhx47Fz5z84evQoRgwfibp166JWrZoZrm/gwFfwzTf/w1/r1+PEiZMY9tbb8PPzQ+vnngMAlClbFuvXb8CpU6cwLzQUFosFJlNyK8PPJk/CxImT8eDBA8++aCLKtiKRtN21azc/eNxMqVRAJpNB1AZk+/bz5DYKInQ8yaQcMvmYIFGooC9WKtvL6P1LQKbSwsfHhy0SKEsGgx6w23Pdz9ZBAqCULQkKhQJKpdI9wVGhpNNqIQgCKgTkvNe7IAioFKiBTCZzVs6Qe3w2eSJOnjyJ6jVqomu37nj9jTfx+htvomu37qheoyZOhZ/CpIkTvB0mEREVEpMmTcDGjZuwffsOl+nVqlWFXC53mX7m7FlcuXIFtWvXTnddxYsXh5+fH7bv2O6cdv/+fRw6dBi1a9cCAISFhaFevbpQKpVo9vTTuHHjJqKjo9G5cyfExcVh3bp1HniVRJRb+T5pW79+fYTOm4ODB/bj2tXLzitEqQ3o3x97dv+Dc2dPY83qVahRo0beB1rEOKp7JNlsjQAAgiiFqLFCrVZBIpF4KjQqZHQ6LWQyKcwlK0EUs7/fCKIIc6nKkEpZjUaZk0gk0Gm1CLAnQQv7E6+vrC0BQHKPXKKMOFobVArM3QCdbJHgGXXr1sWUz79I92L/gwcP8PkXX6J+/XpeiIyIiAqbjh06oGqVqpg8+bM0z/lafREXF4d79+65TI+MjIKv1Zru+nx9rc55XJaJioSvb/I4NL/9tghhYSewZfNGDBs2FK+//gaMRiPefecdjP74Y7z33rvYuWM7Fi74Bf7+/u54mUT0BPJ90latVuF42AmM+mh0us936NAeY8Z8jK+/nobnWrdBWFgYFi74GWazOY8jLVoc1bKiJmcf5I7KXJ5kUnaZTD4AAHOpKjle1rGMYx1E6TEaDRAEAeWfsMrWoZQtERK7HT5Go1vWR4WTTqeFXCqglFWVq+UdyV5+n7rX3bv3EBwclOHzwcFBuHv3XobPExERZUdgYADGjx+LIUOHIi4uLs+2m5iYiFEfjcZTDRqhTdt22LtvH8Z88jFmz5mDKpWroPVzz+GZVs/i4MGD+HT8uDyLi4jSl++Ttps3b8Hnn3+RYZn+q4MGYeHCX7Fo8WKcPn0a73/wIWJjH6FXzx453pZcLodWq3X+aDS5q34p7BxJV0FphCDL2ckm+9pSThkMBsi1Bmgs2R+EzEFt8oPSYIbeoGeLBMqQyccI2O2omJTglvXJkdwbV6VSQqViiwRKSyqVQKVSoby/GlJJ7j6bLDo5LFoZ9Fombd3p119/xTfTpmHQoIGoWLECLBYLLBYLKlasgEGDBmLq1K+xYMECb4dJREQFXLWq1WC1WvHXuj9x6eJ5XLp4Hg0bNsArL7+MSxfPIzIqEgqFAnq96zgJVqsFEZGR6a4zIiLSOY/LMhYrIiIi0l2mYcMGKFeuHObOnYcGDRtg06ZNiI2NxarVa9CgYQM3vFIiehJSbwfwJGQyGapVq4rp02c4p9ntdmzfsT3DPi+ZGTpkMEaOHOHOEAslrUaTPDCHJvutERwEpQ8gkaf58iFKj1qthlQigaFY6VwnXQ3FSuPR3VvQaNR48OChmyOkgk4mlUKr1SLYngSdG1ojOFSyJSBcIoOPjw9iY6+7bb1UOGhTEq256WebWsVADaIeJEClUiI29pE7QivyvvjyK8TExOCN11/HmE8+ht2e/LkgCAIiIiIxc8ZMzPzuey9HSUREBd32HTvQvMUzLtOmfv0Vzpw9gxkzvsO1a9cQHx+Pxo0b4Y8//gQAlC5dCkFBQThw4EC667x06RJu3ryJxo0b4/jxMADJxxw1a9bA/Pk/p5lfoVBg0sQJGDJkGGw2GySiCEEmAwDIZFJIxHxf40dU6BXopK3JZIJUKkVklOuVpqjIKJQpXcb5eNFvC1GpUiWo1Wrs378Xr732Og4cOJhmff+bPgM/zPrR+Vij0eDQwf2eewEFlGNUdFFXLMfLCoIAUVcM8qTzUKlUiI2NdXd4VIjo9ckV2YbA7A9A9jhDYCncDNsLvU7HpC2l4eNjhCAIqJjonipbh5K2RCjsNph8jLh2jUlbcqVzV9I2QIPtp+5Ap9UyaetGM2Z+hxkzv0NwcLCzP2BERCQuX77s5ciIiKiwePjwIcLDw12mxcTE4Pbt287pv/62CGPHfII7d+7g/v0HmDhhPPbv34+DBw85l9m2dTMmTZ7ivDP5p59m461hQ3H+3HlcunwZ7737Dm7evIl1f/2VJoa3334LmzZtxrHjxwEA+/bvx8ejP8KiRYvw0oAB2LefuRAibyvQSdvs6tGzd7bmi4+PR3x8vIejKfiMRgMgyiFq0m+AnhWJPhi2O+dhNOiZtKVM6XU6QBCg9y+R63Xo/IIhiBLo9Tpcu37DjdFRYeDj4wPBbndbP1sHKYBytkQclcuh0ajx8GGMW9dPBZtOp4VKJqKE+cnaZ1QIUAMAtDotIh4bdISe3OXLlz2SqB0y+E2MGvUhfvzpJ4wZk9wvUKFQYMwnH6NDxw5QyOXYsmUrPhz1EaKi+HclIiqqxo4dB7vNhh9nzYJC8d93Q2plypRxFroAyRce1Wo1Pv/8M+j1euzbtw99+vZL0ze3fPnyaN++HVq1+m+g9zVr1qJBgwZYsXwZzp49h8FDhnr2BRJRlgp00jY6OhqJiYmwWlyThxarBZEZ9HmhJ6NSqSCXyyHqi0EQcne7hKgNAAQRBoMB12/cdHOEVFhIJBJoNGporUGQyBW5Xo8olUHnVxx223lIpVIkJro3OUcFlyIloVoyKQEqN7ZGcKiYlICjEjl8fHyYtCUnmVQKpVKJ8gFqSMQn67Xto5HB3yBHUhL72hYU1atXR9++fXA8LMxl+tixY/BMyxZ47bXXce/efUyc+Clm/zQLHTt18VKkRESU17p26+7yOC4uDqM+Gp3hoOwAEFgsOM20L778Cl98+VWm2woPD0fjxk1dptntdowa9RFGPZYYJiLvKdBNShISEnDkyFE0btzIOU0QBDRu3DjDPi/0ZIwprREkuoxHVs6KIEohagOgVicngInSYzabIAgCfIqXf+J1+RQvBwCwmE1PvC4qPEwmHwBARZt7WyM4FLcnQZ3SIoED4ZGDVpecYK34hK0RHCoGaCCRSKBW52xgUMp7arUa06d/i3ffex9379x1TtfpdOjVswfGjhuPnTv/wdGjRzFi+EjUrVsXtWrV9GLERERERORN+T5pq1arUblyJVSuXAkAEFw8GJUrV0KxwOSR5Gf9+CN69+6Fbt26okyZMvjss0lQq1T4bdHiXG9zQP/+2LJ5I/5Yu9otr6EwMRgMgCBC1AU+0XrElKSvoz8u0eOsVgtEiRSWstWeeF3m0lUhyuRpRlKloksQBFgsZijsNpTNojXCHJkGM+RazJBrEZlyh0GkIGKGXIs5sowTbyKAqkkJkEql8DEa3Rg9FWR6XfItjE/az9ahYmDyenQ6XRZzkrdNmjQBGzduwvbtO1ymV6tWFXK53GX6mbNnceXKlQwH1pXL5dBqtc4fjcY9+xMRERER5R/5vj1C9erVsGzpEufjcWPHAAAWLV6C4cNHYNWq1TCbTHj3nZGwWq04fjwMffr2e6IeYPNCQzEvNBRarRanwk888WsoLORyGdRqFURtAATxyXYdiT4ICdf2wGjQI5J9+OgxBoMeCrkcljLVIJU/Wc9HAJDI5LCWrYmbYXvg42PE7dt3njxIKtCMRgNkMhmqJcYhq3r/WEHAw8fawdgEAQ8hALBlumzNpHjslSRfMIi+ffvJgqZCwWjQw0ctRZAp921fUqscqIFEAIwGA27ejHDLOsn9OnbogKpVqqJN23ZpnvO1+iIuLg737t1zmR4ZGQVfa/rjBwwdMhgjR47wSKxERIXFJl9e0CrMWkRwkGkq/PJ90nbXrt3p9mlJbe68UMydF5pHERVdBoMBwH9Vsk9CkCohqq3Q2u2QSCRISkp64nVS4eE4SfWtWNdt6/SrWBs3w/bC12ph0pZgtVgAux01kzw7+KQedpS1JeKURg21Wo2YGPa2Lcp0Oi0kUinqltRDdFPLDLVCgsrFtDhyJfniany8Z9p9FGVarRYPHjzI9fKBgQEYP34sevbqnWYgmNz63/QZ+GHWj87HGo0Ghw5ylG8iIiKiwiTft0eg/MNo0MMOQKIv5pb1SfRBEAQBBj1bJNB/VEoldDotDMVKQWUwu229Cq0RxuJlodFooFar3bZeKnjUKhW0Wg3K2BJh9MAAZI+rlZIY9mV7jiLP0SajTkn3fu851mdkGw63a9KkMU6EHcNzzz6b63VUq1oNVqsVf637E5cunseli+fRsGEDvPLyy7h08TwioyKhUCigf+x4yGq1ICKDgXXj4+Px4MED58/Dh6w2IiIiIips8n2lLeUPEokEWq0WotoCQeqewU5EXRBw4xAMRj1vGyYnsyU5UetbwX1Vtg5+FevizqVTsJhNuMSKxyLL0du4toerbB2C7Umw2JJgNxpw5aoUiYmZ99ClwstoNMCgkqK0b/rfo6OXn8X9R8n7x4NHyXegXI5+hLcWhkOnlGJCl9LpLlezhA7ijuT1R0Skn+Sj3OnWrStiYmLQrVtX/LV+fa7WsX3HDjRv8YzLtKlff4UzZ89gxozvcO3aNcTHx6Nx40b4448/AQClS5dCUFAQB9YlIiIiKsKYtKVsMRj0EAQBEl3mrSpyQlToISgMMOhtEAQBdrvnK94o//MxGiBRqGAILOn2dev8ikOm0sJoTMSly1fcvn7K/6RSKUw+RphtSShuz5u2LAKSE8R/yVSwWsy4fuNmnmyX8hetVgtpFq0R7j9KxL1Y1/3SZkeaaWnWrZCgUqAGx64CMpkMCQlskeAOarUarZ97DqM+Go3Pp3yW657oDx8+RHh4uMu0mJgY3L592zn9198WYeyYT3Dnzh3cv/8AEyeMx/79+3Hw4CF3vBQiIiIiKoDYHiEdA/r3x5bNG/HH2tXeDiXfMDr62erdl7R1rE8URej1HPWakk+QZTIZfIqXhyC6/+NJEAT4lKgAqVQKrZYDExRFFrMJgiiiVlI83NNRNHsq2RKgsNtgsZghuKmXKRUsPsbk79E6IZ75vvuvRYLBI+svitq3a4fr169j6dJlCAs7gU4dO3psW2PHjsPff2/Ej7NmYcXypYiIiMQrA1/12PaIiIiIKP9jpW065oWGYl5oKLRaLU6Fn/B2OF6XnFTVQ1D6QFSkf7IZd3oN7Ekpg2skJv+2P7qNRyeXQZAooCibdrRkAJDog5EUeQxGowF3795Ldx4qOhxJDZ/i5TOd79jvPyLhUXJ7g8S4WABAzO0IHFr0DWRKNap0HJTxNkqUR8TJ/TAajXjwgD0AixqrxQK53YbKtrytRJQBqJ6UgL0yBYxGAwfDK4J8jAbolRKU9fNMT+1aJXQI3XkdPkYjIiOjPLKNoqZ7925Yumw5AGD58uXo0aO72wa+7dqtu8vjuLg4jPpoNEZ9NNot6yciIiKigi9HSVtBENCgwVOoX68egoKCoFKpcOvWLRw7dhzbd2zHtWvXPRUneZFer4MoCpBkUmVrT4oDEh89PhVIfJTpMD+C0geQaWA0JOGScIUtEoo4o9EIUSqHPiAk0/kSHsUg8dFjCVe7Le20dOh8gyFVqGA0GnDlytUniJYKGqPBAJlchqqJcZB7Yfs1k+KxVyKH1WJm0raI0Wo1kMpkqFNSD1H0TKW1TilFxQANwuyATCZFQgJ7Jz+J4OBg1KlTG0OHDQMArFi5Eh9/PBrlypXDqVOnvBwdERERERUF2br/WKlU4q23hmH/vr34ef58NG/RHHq9HklJSQgJCcE774zA7l3/4Of5oahVq6anY6Y85hjt2t2tEYDkCwESQ3FIJBLotFq3r58KDpVKCYVCDmPxshAlEo9tRxBFGIuXh1wmg1rtmYo3yp8sKYPc1cjjKlsHA+woZUuEVquFUqn0SgzkHcaU79E6IXqPbsfZIsFg9Oh2ioLu3bpiz969zoKE27fvYMuWrejRvZuXIyMiIiKioiJbSdsd27eiYsUKePe991C+QkV06NAJg159DUOHvYV+L/ZH3XpPoUHDxtizdy++mzkDvXv38nTclEcEQYDeoIcg10FQeKZPnqOCl334ijbHxYGsWiO4g6lE8jZ8fIwe3xblDwq5HHq9DsVtiTDbbV6Lw5EwdiSQqWgwGQ3QKSUo7+/ZC0W1S+gggJ9t7tC16wtYunSZy7Rly5ejc+fO7EtNRERERHkiW+0RevbqgzNnzmQ6z9WrVzF9+gx8//0PKFasmFuCI+/T63SQiCJEfXGPnaQIKgsgVcFgNACXr3hkG5T/mcwmSGQKGIPKeHxbuoAQSBVqmEw+uHr1mse3R97nrLJNivdqHKVsidDZbEgy+eDateuw2byXQKa84WiNUNeDrREc9CopKgZqEHYNkMlkSEjwTlV5Qefv749du3Zj9eo1LtP/+ms9mj39NIKDg3Hp0iUvRUdERERERUW2Km2zStimlpiYiIsXL+Y6oPxgQP/+2LJ5I/5Yu9rboXido/pVYnB/awQHQUjulyuTSqHVajy2Hcq/dDod5DIZTKUqQ5R4fnxEUZTAXLoKZFIpDAbP3q5M3icIAsxmE1R2G8ravNvnUwRQ3RYPiUTirC6nws3xd65XMm8+axzb4d0ruXfjxg2MGPkOYmNjXaYnJCTgnXffY8KWiIiIiPJErrIjCoUCFStWhMVihii45n3Xb9jglsC8aV5oKOaFhkKr1eJU+Alvh+NVBoMBkKohKE0e3Y6oD0ZS9CkYDQY8eJD1YFJUuJjNPgAAS5lqebZNS5lquBm2F2aTCXfv3suz7VLeMxoNkEqlqJ4YB891S86+qkkJ2ClRwGIx41Z0tLfDIQ/z8THCoJKgrF/e9NCuFaLD/H+uw8doRGRkVJ5sk4iIiIiI3C/HSdtmzZrh22+mwmRKm8Sz2+0ILh7ijrgoH9DptJBKJZAYPNcawUHU+AISOYxGI67wdvUiRSKRwGgwQmW0QmMOyLPtqn18oTEHwG63QyqVIjGRI60XVhaLGbDbUc3LrREcdLCjrC0RpzRqqFUqxDxWzUeFh06rhVQqRd2SBo+3RnBuU5ncIuH4VbZIICIiIiIqyLLVHiG1CRPGY82atahRszaCgku4/DBhW7gYDSmtEfSea43gIAgiJLpgyOUyqNUqj2+P8g8fHyNEUYClTLU8H9zFsU0TB+0ptJRKBXRaLUrZEmGE3dvhODl663JAssLNmPLZUjePWiM4OFok+LBFAhERERFRgZXjpK3VYsEPs35EVBRvuSvsjEYjIFFAUFvyZHtiSt9c9nksWsxmEyAIMJeqkufbNpWsBEGUwGxm4qywsqT8bavb8le1YQl7Egy2JJhMPhDFHH8VUwHhYzTAoJKijF/eXoysVUIHUUi+KEZERERERAVTjs8U1679Aw0bPOWJWCgfMRoMkMmkkBhDIAh5k1AQNf6ARAGz2ZTnFZfkHSqlEhq1GsagspCp8n4QOqlCBZ/i5aFSKaFW502/Sco7oijCbDZBa7OhtJcHIHucAKCGLQGiKMJk8vF2OOQByS2GpKhXSg8xj7/TtEopKhfTQKPRQC6X5em2iYiIiIjIPXLc0/ajj0bjh1nfo179+jh58iQSH+uVNnvOXLcFR95jtSZX10pM5fJsm4IogcRUBog8Dh8fI6Kjb+fZtsk7HPuZtVwN78VQrgaiL4TBajXj4sUYr8VB7mcxmyCRSFAj8VHOr1DmgapJCdghUcDP14qoqFveDofczHHXSF63RnCoW9KAo1cewsdoxM2ISK/EUBg9/3xrjBwxAs+0etbboRARERFRIZfjpG2nTh3xdNOmiIuLQ8MGT8Fu/69HoN1uLxRJ2wH9+2PAgBeL7C2rSqUSOp0WojYAoiJvTzalPmWRGBkGq8XCpG0hJ5FIYDL5QKHzgaFYaa/FofMvAZXRCpPdjqtXr3NAskJCEAT4+/lCbrehVj4ZgOxxathRMyke+xUKmE0m3IqO9nZI5CYSSXIFtVkjRWlf7/Rpr1VCh/k7BVgsZiZtc6hv3z5o2rQJEuIT8NPs2Th06DAaNWqIMZ98jFKlSmHJ0mXeDpGIiIiIioAcJ23ff/89fPnV15g+fYZLwrYwmRcainmhodBqtTgVfsLb4eQ5qzW5B6TEXD7Pty3INZDog6DBZajVasTEsPKxsDKbTRBFEb4Vanu1HYYgCPCtUBsXd6+DxWzCjZsRXouF3MdqMUMqk6Fu4iMovR1MJuolxeOQRA5/f18mbQsRi8UCURTxbBVznrdGcNAoJGhSzojNJ2/DaDDgzt27XomjoBky+E28885InDhxEmXKlMZzzz2Lb779H15+aQBmz56Dn39ZgLt8L4mIiIgoD+S4lFQmk2PVqtWFNmFb1EkkEphNJkCmgagN9EoM0pRksa81bwZAI++wWi0QJVJYylTzdigwl6oCiUzhbNdABVvqKtva+bTK1kGbUm2rSKm2pYJPEAT4WS1QyUQ0Le/dfsXPVknep/z8rF6NoyDp0aM73n3vfTzfpi369H0RSqUSderURsNGTTB9xkwmbImIiIgoz+Q4abtk6VJ06NDeE7FQPmBOGclcai7vtepHQe0LQWGA0ccIqTTHxeBUABgMeijkcljKVINU7v06SIlMDkvZ6pDJZM4+lFRwOatsk+LzdZWtQ72keEjsdvj7+3o7FHIDk48PpDIZWlTygVLm3TZL/gYF6oTooNEkD0pGWQsMLIadO3cCAPbu3YuEhAR8+eXXiI2N9XJkRERERFTU5DgjJhFFvPnG62j29NM4ceIEEh7r/zhu3Hi3BUd5z2q1AIIEEh/v9RgVBAESc3nYr+3l7eqFlKOi1bdCHS9H8h/fCrVxM2wvrFYLbt+54+1wKJcKUpWtg5a9bQsVPz8rJCLQqpLZ26EAAFpXNWP/hfvw97Pi7LmH3g4n31Mo5Hj0KM75OCEhAXf4nUBEREREXpDjpG2FihVw7PhxAED5Cq49T9kyoWDT63VQKBSQGEtCkMi9GovEWBKJNw7BYrUwaVvIKJUK6HU66ANCoDLmn3YESp0PjEFlgSunoVKpWFVVQBWUXraPY2/bwsGg10OpVKJRGSMM6vxxp0hpXzXK+6sRjuTP39QJSUrfe++9g9jYRwAAmUyGt98ahnv377vMwyIFIiIiIvK0HJ9RdOvWwxNxUD7gqH6UmMt5ORJAEKWQ+JSG/NZJGI0G3LnDHnKFhdWSvJ/5Vazr5UjS8q1YB3eunIav1YKLly57OxzKoYJYZeughR01kuJxgNW2BZqjd2zrqvmjytahdVUzwm/EwNfXikuXrng7nHxt9+49KF36v7uN9h84gOIlirvMwyIFIiIiIsoL+aMMhLxOoZDDoNdD1PhBVHp34BQHiakcEm+dhK/VwqRtISGVSmA2myDXGmEo5r0WHBnRB4RAaTDDZLfj2vXrSEhIzHohyjccVbZ1EuMKVJWtQ/2keBxmtW2BpVGrodVqUbO4DgFGhbfDcVEtWIsAgxx2uwnXr91I09qK/tO1W3dvh0BEREREBCAXSVuFQoGXXxqAhg0bwmKxQBRdB6t6rnUbtwXnLQP698eAAS9CFL07gEheclQ/Skzer7J1EBU6SHSB0OIaVCql81ZFKrisVitEUURAlacg5MP/X4IgIKBKA5zfuQa+vlZcvXrd2yFRNqWusq2TVDBv/2a1bcHmqLJ9vlr+qrIFAFEQ8Hw1C+ZsvwarrxXXrvGz7UlUq1YNR44c8XYYRERERFTI5Thp+9WXX+Dpp5tizdo/cPjw4UJ5i9i80FDMCw2FVqvFqfAT3g7H40RRhNlsAqQqiPogb4fjQmIqD9v9a7BaLLh0mbd0FmSiKMLXaoFUqYGlTDVvh5MhU8nKuHJoK6wWG27ciEBSUpK3Q6JsKOhVtg6sti2YFAo5DAYDyviqUNZP7e1w0vVUaT2W7b8Jm8WMGzduwmazeTukfE2tVsNms+HRo/8uGFeuXAnvvfsOWrRogeDiId4LjoiIiIiKhBwnbZ95piX69euPffv3eyIe8gKTyQcSiQRSUzkIQv6qfhS1ARDkOphMNly9dp0JtALMajFDIpHAv3J9iJL825lFlEgQUOUpXNq7Ab5WC67fuOntkCgLhaHK1oHVtgWTr68vBEHA8/msl21qMomIZ6uYsWRfBCwWMyIiIr0dUr4UGBiA77//DjVr1EBSUhLmzgvF51M+x2dTJqND+/ZYt+4vdOjYydthEhEREVERkOMM3Y0bN/Dg4QNPxEJektwaQYTEVMbboaQhCAIk5nL/VQNTgSQIAnz9fCGRKeBbvqa3w8mSpWwNSBUqWH2tRapNSkHlrLJNSijQVbYO9ZPiIbHb4e/v6+1QKBukUiksZh/46eWoUULn7XAy1ayCDxRSAX6+VgiCkPUCRdDHo0dDqVDgk0/GYO++fRj4ystYtmwpHtx/gIaNGuONNwfj0KHD3g6TiIiIiIqAHGcjxo3/FB+NGoVixYp5Ih7KY1qtFiqVEqKxBARp/kx3SIylAEHi7LtLBY/ZbIJMKoVfxTqQyPLXAD3pkUhl8KtUD1KJBBZL/q2cI0AiEeHv71coqmwdtLCjZlI8FAoFP/cKAKvVAkEQ8XxVM8R8nghVyyVoXtEEmUwGHx+jt8PJl+rXr48PPhyFufNC8cYbgyEIApavWIGPRn+M69dveDs8IiIiIipCcpy0/fffI1AoFdi9aydOhZ/A8WNHXX6oYPG1JicEpObyXo4kY4JEDolPqZSegXpvh0O54OfnC0EihW/Fut4OJdt8K9SGKJWxIi2f8/fzg1QqRcOk+EJRZevQICkecrsNAQF+kEgk3g6HMiCRSOBntUCnlKBhGYO3w8mWVpVNkAhAgJ+ft0PJl6xWCy5dugwAuHXrFmJjY7F582YvR0VERERERVGOG0t+N3M6/P398dlnUxAZFVUoByIrKuTy5CSooLJAVOXvakKJqTySok/D12rF3bv3vB0O5YDJxwcKuRy+5WpCpsyfA/SkRypXwrdCHdw4tgsmkw9u3WJv0fxGLpfD12qBwZaEWknx3g7HrVSwo1FSPDZLlfD388XVa9e9HRKlw8/PF6JEgvY1LJBJC0YrFZNGhqcr+GDTidvsm5yB1IO02Ww2xMcneDEaIiIiIiqqcpy0rVOnDtp36IiwsBOeiIfykK/VAkEQILVU8HYoWRKVBojaQOhwDSqVCrGxsd4OibLJz98XEET4V67v7VByzL9SXdwM2wt/P18mbfOhYoEBEEQRzRJicv5lVgDUTIrHQVEGu9WCyKhbiI8vXInpgk4mlcLXaoFJI0WzCj7eDidHOtSwYvupOwgI8EP07du8AJ+KIAjYsX0rHG+JRqPB+r/+hM3m+h5VrlLVC9ERERERUVGS4/PcM2fOQKksTDehFk0SiQiz2QzI1BD1wd4OJ1sklgqwPbgGX18LLl687O1wKBsMBj1USiUsZapCril4rS1kKi2sZWsgIvwAfHyMuH37jrdDohQajQY+PkYE2RJRzpbo7XA8QgqgWVIcfpepUSwwAOcvXPR2SJSKv78fRFFEp1q+kEkKRpWtg0EtRavKJvxx5BYsFjMiI6O8HVK+MXzESG+HQEREREQEIBdJ20mTPsOYTz7GZ1M+x8mTJ5GQ4Hqy/ODBA7cFR55jNpshkYiQmitAEArGyaao8YegMMDkY8e1q9eRkFg4EzWFiX9Kz8SAyk95OZLc869SHxGnDsLfz5dJ23wkqFgAAKB54iMU5o7D5WyJCLIlAj5GRERG4eHDh94OiZDcmsNiMcPfIC8wvWwf16aaBZtO3EaAvx9u3Yp2aQlQlC1ZstTbIRARERERAchF0nbBgp8BAIsX/eYyXRAE2O12BBcPcUtg3jSgf38MGPAiRLFgJDNzw9dqAQQJJD6lvR1KtgmCAImlIuxXd8NqteAaR3HO13Q6HTQaNUwhFaE05O+eyZlRaI0wl6qCW2ePwmDQs6dyPuDjY4RGo0GlpHgE2At3oklAcmL6Z7kWQcUCEX7qtLdDIgABAX4QBAFdavtCIhbMywYahQRtq5mx7EAkfK0W3LgZ4e2QiIiIiIgolRwnbbt26+GJOPKVeaGhmBcaCq1Wi1Phha93r4/RCLlcDompLASJ3Nvh5IjEEILEG4dgsVhw/cZN9uHLxwL8U6psqzXyciRPLrBqQ9w6ewwB/v5M2nqZIAgoFhgAid2Opolx3g4nTwTYbaiUFI8wjZptOvIBpVIJk48PQixK1AnReTucJ9Kqshnrj0fD388XkVG3kJSU5O2QiIiIiIgoRY6Ttrt37/ZEHJSHfH0tsAOQmMt7O5QcE0QJpOZyQMRRmE0mRN265e2QKB06rRZarQY+JcpD7ePr7XCemNJghqlUJeDccej1Oty7d9/bIRVZvr5WyOVy1E2Mgx5F56JN08Q4hIsyFAsMwJ07d3nByosCA/ydVbaCUDCrbB0UMhEdalixYPcN+Pv54uq1694OiYiIiIiIUmTr/v9igYE5Wqm/v3+ugiHP02jU0Gg0kOiDIcq13g4nVySmcoAgwtfX6u1QKAP+KVW2gdUaezkS9wmsmlwxHMDPN6+RSqUI8POFym5D/aSiUWXroIcd9ZLiIZfL+dnnRWq1GkajAeX91ahSTOPtcNzi6QpGmDRS+FotkElzfC2fiIiIiIg8JFtJ2z/+WIMpUyajevXqGc6j0+nQu3cvbNr4N9q2ed5tAZJ7+VqTT/al5gpejiT3BKkSEmNJKJUK6PUF+9bUwkir1UCn08IYXBZqk5+3w3EbldECn5CK0GjU0Om433lDQIA/RIkETRPjoPB2MF5QLykOarsNAX6+kDK55hWBgckXbV6oU/CrbB1kEhGda/lCEEXnBTciIiIiIvK+bJ31NWveAsOGDcNvvy5AXFwcjhw9ips3biIuLg4GgwHlypVFuXLlcPTYMUyYOBGbNm32dNyUC3K5HEajAYLKDEFdsCu1JOYKSLp9Fr6+Vt6qns8Uxipbh8BqjXD7wgkE+Pvh/n3ud3lJqVTCYjbBYktCVVuCt8PxCgWAJolx+EumQmCAPy5dvuLtkIoUnVYLvU6H6sFalPVTezsct2pYxoA/jkTBbjfjZkQk4uPjvR2S14miiB7du6Fx48awWMwQHhuctnv3nl6KjIiIiIiKimwlbW/fvoNx48ZjypTP0bJlC9SrVxdBxYKgVCoRHR2N5StWYsuWrQgPD/d0vPQErFYLBEGA1FyhwFcIiUojRG0A9ABUKiViYx95OyRCcvsNvU4HQ7HS0FgCvB2O26l9fGEsXg64dAparRYPHjzwdkhFRrFiARAEAc0THmXvFpFCqqotAQdsctjNJkRERuHRI3725ZXUVbaFjSgm9+idsekKAgP8ceHiJW+H5HWfjh+H7t27YePGTTgZHg62kSYiIiKivJaj+ysfPXqEtWv/wNq1f3gqHvIQURRhMZsBqQqiobi3w3ELibkCbA+uw9dqxcVLl70dDiF1lW0jL0fiOYHVGuPOpVMI8PfD6TNM2uYFvU4Hg16PUkkJKGkv2qPbiwBaJD7CYrkGQcUCcebsOW+HVCQYDHpoNBrUL6VHsEnp7XA8onaIDiEWJex2I27cjCjyFwQ6duyA115/g3ePEREREZHXFOWCpSLFYjZBIhFTqmwLx59d1AZAUOjh4+PD/o75gFqtgkGvhz4gBFrfIG+H4zEasz8MQWWg02mh0RSOgYjyu2LFAiHY7WhWxAYfy0iIPQmlkhKg1+vY1zuPFAsMgCAAnWsXvipbB0EQ8ELt5F69gQEccDE+PgEXLlzwdhhEREREVIQVjuwdZclqtQKCBBJTGW+H4jaCIEBirghRFGC1mL0dTpHnrLKtXvh62T7O0a83gIP2eJzFbIJKpUR1WwIsdpu3w8k3miXFQbDbUSww0NuhFHomkw+USiWaljPCTy/3djgeVbmYBhUC1DAaDdCoC1ff3pz6YdYsDHzlFW+HQURERERFGMsTiwCj0QCFQg6JTxkIksJ1wikxhiDx5iFYrRbcuBkBO5vOeYVKpYLRYIDOvzh0foWj/UZmtNZAGIqVAnAOarUaMTEx3g6pUBJFEYEBAZDZ7WiU6N0q2y+//DLd6WNGjsjjSJJZ7DZUtyXgsEoJi9mMqFu3vBJHYeeoOpWKQMeaBXsAz+xwVNtOXHMBgYEBOH3mrLdDylM//TjL5XGjRg3RvHkznDp1CgkJiS7PDRz0at4FRkRERERFEpO2RYCv1Qo7AIm5vLdDcTtBlEJiKgdEHoPJ5INbt6K9HVKR5O+ffMuwowK1KAio1hh3r55DgL8fzp477+1wCiV/P19IZVI0THwEDXhB5nGNEuMQJsoQGOCP6Nu3YbOxEtndzGYT5HI5WlYywUcj83Y4eaKMnxo1imtx+BKg02lx/37R6d19//59l8fr1v3lpUiIiIiIiJi0LfTUajW0Wg1EXRBEReHsfSg1lUNSZBh8fa1M2nqBUqmEj9EIrW8QdP4lvB1OntH5BkEfEALgAtQqFWJiY70dUqGiVqng52uFzmZD7aR4b4eDd955J93p3uxqrIEdDZLisFWmRFBQMVzigIxulVzp7QeFVEDb6hZvh5OnutT2xeFLDxAYGIDw8NPeDifPDB8x0tshEBERERE55SppW7JkCBo2bAiLxQJREFyemzrtG7cERu7h65t8oim1VPD4tjK6ffidD0Z7dLuCTAWJMQSqO+eg1+lw77FKGfIsx4A1gdUaQ3js88CTMtrfPhg9Js9iCKzWGPeuJ99GfObsuTzbbmEnkUhQqmQIBEHA8wkxvLqYiTpJ8QgXZYDZhAcPHiA6+ra3Qyo0/Px8IZXK8Hw1C3TKorUXBpuUeKq0HrvPJvf0LYr71eLFv2HgwFdx7949l+larRZz5vyE7t17eikyIiIiIioqcnwW0rt3L3w2eRKio6MRGRnp0kPUbrcXiqTtgP79MWDAixDFgj1Om0wmg4/RCEFpgqAuvCNeA4DEUgFJd87B19fKpG0e0mg0MBoN0PmXgD6wpLfDyXM6/+IwFCsN4GyRu43Yk0oUD4ZcIUejxEcIsSd5O5x8TQKgY0IM5so1KB4chJiYWDx69MjbYRV4Op0W/n6+sOpkeLayydvheMULKdW2xYOD8PBhDOLivNtXOq81bNAAMlnalhgKhQL169XzQkREREREVNTkOGn79lvDMGXK55gx8ztPxJMvzAsNxbzQUGi1WpwKP+HtcHLN12qBIAiQWirkSQVkRrcPQ6r0+LZFpQ9EjT/0SL5dn0mLvFEsMAAAEFS7eZ5W2QIZ729SZd7esB5UqxnuXj1b5G4j9hRfqwVGowElbIlokA/aIhQEBtjRNvERVsjUKFWyBE6Gn2Z/2ycglUpRMqQEpBIBb7YIgkou8XZIXmHRyfFK00DM2HjFuV8VhcE+K1b8786kcuXK4s6d/wagk4gSNGveDDdu3PBCZERERERU1OQ4aWswGLB6zVpPxEJuJIoiLBYzIFVB1Bf3djh5QmKpANvDG/D1teDSpSveDqfQMxj00Go18ClRAVpLoLfD8Rq1yQ/mUlWAc8fgYzTi9p073g6pwNKo1ShWLBAauw3tEmJRsO91yFtlbYmolxiHvUoligcH4cLFS94OqcAqGVICUqkUvev7I8Si8nY4XlUnRI9nKpnwd1g0goOK4dLlwv/dumH9X7Db7bD/v737jm+qbt84fp2T1UXp3i0goAjIVBmigqgM9wDcrT7i9lHAPQAX7g0OcNDHDfpzK4oKijIURJElS5Qh0DJk05XfH6WBCigtSc9Jzuf9eiFtkiZXOcf0m7t37q/fr7Fj3trj+u3bt+uOOwZbkAwAAABOU+Oi7Ucffaxjjz1Gr7zyaijyIEiSk5PkcrnkTj5EhumMLiEzLkuGt56SEv1auXKVysrKrI4U0bKyMiXDUE67rlZHsVx222O0bulcZWVlaMNffzmiGy3YKufYNpAp6dTSbYoV/4Y1dXT5Dq0wXVJSojZt3szGjLWQmZGuevXidESjeHU7NNGSDPua1333nTfXcZJKfY9M06I1WyUlV85NXr/Bkhx1pUPHzjIMQ1OnfKfeJ52itWvXBq4rLS1VcXExnewAAACoEzUu2v62dKluuvEGtWvXTvPnz1dZaWm161986eWghUPtpaWmSoZLrsQmVkepM4ZhyJVyqPwrv1dqSrL+XLXa6kgRKzkpSdFRUUo9uK2i4p0573F3vrgEpTU7XKvnfq/k5CQVF6/99y9CNQ0b5Mnj9erosu3KZY5trbhUWfB+2RurvJxsbd26Tdu2bbM6VtioVy9OGRnpSq3nUUGXzDof+WJXHpepK7vlaMh7S5SXl6stW7dF9HzbFStWSJJychtYnAQAAABOV+Oi7QXnn6ctW7aoU8cO6tSxQ7Xr/H4/RVsbqF8/Xj6fV67Eg2S4fVbHqVOuhEYqW/WTUlJTtGr1GjoeQ8AwDGVmZchwuZXduovVcWwj87DOKlrwk7IyM7Ru3Xo6sWogPT1N9evH66DyUnVgju0BqSe/Ti7dprd3zredN38B5+J++Psc2xgL59jua153fLR1mdLinTHf9sQTTtBXEyaorKxMJ55wwj/e9vPx4+soFQAAAJyqxkXbjp2OCkUOBFF6WpokyZXc7F9uGXkM0y1XclOpaI6SkhJ5e3AIpKWmyOvxKLNFB3mi46yOYxueqBhlHtZJK2Z+rbS0VK2i03u/xMXFKiszQ/UqKnRS2XbR23jgDvKXq1N5iab4fGqQl6vflv5udSTbY47tv3PCfNuXXnpBrdu009q1a/XSSy/s83Z+v1+5eQ3rLhgAAAAcqcZFW9hbvXpxiouLlRmfK9MXb3UcS7iTDlF58TxlZKRr3br1EdkNZBWXy6WMjHS5fNHKaNHR6ji2k37oEVo9b7rS09NUXLyWucr/oqq70ZR0Wtk2RTPHNmiOKt+h5aZLSkzQ5s1bVFRcbHUk27LDHNtwEenzbXcficB4BAAAAFitVptzn332Wfryi/FasnihlixeqC/Gf66zzjoz2NlQC1mZGfJLcqcdZnUUyxieaLmSDpHP61VyMvNWgykjPU0ul0vZrbvI5XXW6I394fJ4ld32GLlMUxkZ6VbHsb2GDfLk8XjUtXyHsphjG1SmpFNKtynGX6Gc7EzFxNA9ujfMsa2Zqvm2UR5TeXm58vki9+dAJH9vAAAACA81Ltpedll/PXD/MH311Ve64oqrdMUVV2nixIl68IH71b//paHIiP0UH19PsbGxctVvIDPK2d1C7tTmkuFSRno6L8KDxOPxKDUtVd64+ko9uK3VcWwrtUlr+eolKTUlWV6v1+o4tpWRka74+HpqWl6qw5ljGxJx8uuU0m0yDUMHNWool8u6mah25LHRHNtwUjXf1jRNHdSoQcT+jJ03d7b+7523deONN6hLl6MUFRVldSQAAAA4TI3HI1xycYFuufU2vf32O4HLPh8/Xr8uWKBBAwdo1Kh9zwBDaGVlZjq+y7aK4Y6SK7mZvMVzlJKSrKIi3hp8oLIyM2QahnLadpXpYrLKvhimqZz2XbV44v8pKytDS5f+YXUk26lXL06ZGemKr6hQr7JtzLENoQb+ch1VvkPfeqPUoEGulixZanUk22jIHNtac8J823POOU8dOnZQ506ddFn/S+VyuTRr1ixNmTpNUyZP0TeTJlkdEQAAABGuxp22aWlpmj59xh6XT58+XWk7N8BC3UuoX18xMdFyJTSS6atvdRxbcKccKpluum2DICoqSklJiYpOTFNSo+ZWx7G9xLxDFJuSpaTEREVHUwzancftVqMGDeSSdHrZVtG7FnqdykvUsKJMCfXrKy0t1eo4tsAc2wPX98g0NUyJUkpKspISE6yOE3Tf//CDnn56uM4973w1O7SF+vTtp9+W/q6rrrxCr732itXxAAAA4AA1LtouXfq7Tjnl5D0uP/XUU/Xbb0uDkQm1kJmZIb8MuVPpsq1iuH1ypxwqj8et1NQUq+OEteysDBmGodz2x1EA3w+GYSinfTdJUnZWpsVp7KVhwwZye9zqXrZdGf4Kq+M4giHp5NJtivVXKDsrU7GxMVZHshRzbIPDCfNtDzqokc4//zw99eQTGjVypE444Xh98cWXGnrX3VZHAwAAgAPU+D3Ojzz6qJ579hl17NBBP0yfLkk64vDD1aXLUbr8iquCHhD/LjEhQdHRUXIlHiTTV8/qOLbiSm6msuL5ykhPU3HxWlVUUCSqqbjYWNWvX1/xmQ0Vn9XI6jhhIz6jgernNJGWL1K9enHatGmz1ZEsl5WZoXr14tSsvFRtKkqtjuMoMfLrtNJtesMTo4MaNtC8XxeorMx5m78xxza4qubbjvhyuQ5q1EDzf10ov99vdaygmDH9B0VFRWnKlCmaMmWKRjzzjObOnWd1LAAAADhIjTttP/nkU5108qlat26devY4UT17nKh169bppJNO0bhx40KREf8iMzNDkiF3akuro9iO4fLKndpcbrdbaXTb1kpWdmWnaE67bnSk1VBOu66SpOysLGuD2EB8fD1lZKQrsaJcPZhja4kcf7mOKd8hj9erBg3yrI5jCebYBl/VfNvo6Gjl5mRbHSdo1q1bq+joKKWlpSo1LU2pKamKZjMyAAAA1KFa7Sb0yy+/6Nr/XhfsLKiFpKRERUX55EpqIsMbZ3UcW3IlHaKy4vlKS09TUXGxysvptt1f9evHKy42VkkND1VsCm/zr6mYxDQlNz5MWvyLEhMTtH79BqsjWcLj8ahRgzy5/H6dVrZNkfcm6vBxZHmJlhsuLY6PV3p6mlavXmN1pDrDHNvQ6Xdkuhav2SopWZs3b9G69eutjnTATjixp+Lj49WxQwd17NRRt9xysw4+uKnmzJmj7yZP0YMPPmR1RAAAAES4/eq0jYuLq/bxP/1B3crMyJAMky7bf2C4PHKntpDb5VJaKpvw1ER2VpZkGMpue6zVUcJWdptjZJguZWU6c3amYRg6qFEDudxunVC2XWnMsbWUIal32TbVq6hQVmaG4uJirY5UJ3afY3sxc2yDzu0ydOVxVfNtcxQVIfNtN27cqM/Hj9fTTz+tp4cP10cff6zWrVvrmqsZBwYAAIDQ269O23lzZ6tN2/Zau3at5s+bs9d5ZYZhyO/3KzevYbAzYh+Sk5Pk83nlSjpYhsfZG8v8G1dSU5UVzVVaWprWFBWrvNx5sxxrKjk5SVFRPqUd3E5R8UlWxwlbvrj6Smt2uFbPnaaUlGQVFRVbHalOZWVlKDY2Vi3KS3QYc2xtIVrSaWXb9PrO+bZz5y9QWVmZ1bFCZvc5tlcfl6No5tiGRGo9ry49JkvDv1yuRhEw37ZXr57q3KmTOnXqpIMPbqoNGzbo++9/0N1336MpU6daHQ8AAAAOsF9F2z59z9GGDRskSWf36RfKPLZQkJ+vgoKLZJo1HvlbZwzDUGZGumS45E5tbnUc2zNMt9xpLaU/pys9PU0rV/5pdSRbc7lMZWVlynS5ldX6KKvjhL2swzqpaOFMZWZmaN269Y75pUH9+vFKT0tTckW5TijbzhxbG8nyl6tr+Q595YlSw4Z5WrRoidWRQiYwx7Zjhhowxzak2jeM1wktkjR+zjrl5mTrj2XLrY5Uaw8+cL+mTpum1157TVOmTtP8+fOtjgQAAACH2a+i7dTdOgqW/fGHVqxcudfbRcpmO6MLCzW6sFBxcXFa8Ks9dwpOTk6S1+uVK/kQGW5ehO4PV2KTym7b1BStWVMU0Z1lByozM1Met1tZbY6RJ5qxJwfKHRWjnLbH6o/vxys7KzOsCxn7y+v1qmGDPLl3zrH1Wh0Ie2i/c77tgnr1lJmRrj9XrbY6UtBlZmbsmmPbjDm2daHvEelatDr859u2at3W6ggAAABwuBq3kk6dOlnJycl7XJ6YmKCpUycHJRT+2a4uW7fcKXTZ7i/DdMmd1lKmaSo9Pc3qOLYVHR2t1JRkRdVPUXrzI6yOEzHSDmmv6MQ0paQkKzYmsseZBObYulzqUbZdKcyxtSVDUq+ybapfUa6MnZt0RZJ69eKUkZ7GHNs6FqnzbQEAAIC6VuOibdXs2r+LiYnVjh07ghIK/yw1JVkej0eulGYy3LwYqglXYmPJE6vUlBR5PPvVaO44ebnZMgxDDTr2kGky+zFYDNNUw449JUm5uTkWpwmt7OwsxcTEqFV5iVowx9bWfKqcb+uS1Khhg4h5XmSOrbWq5tuapqlGjRpQMAcAAABqYb9fnQ0ZMliS5Pf7ddNNN2jbtu2B61ymqbbt2mrOnDnBT4hqTNNUeka6ZHrkTjnU6jhhxzBMudMOU9mKqcpIT9ey5SusjmQryclJio2NVdJBLRSf0cDqOBEnLi1HKU1bq3jhz0pNSVFRceRtSpaQUF9pqSlKrShX97Lt//4FsFyGv0Ldy7ZrvCdajRo20IKFi62OdMCYY2u9SJpvCwAAAFhhv4u2LVu2kFTZaXtos2YqKd3VPVVaUqq5c+fqueeeD35CVJOamiKP2y13yqEyXEyJrA1XQiOVF81Rcopfq1evqXYuO5nL5VJ2dpZMt1d5h3e3Ok7EymnXTet//1VZWZlav2FDRM1W9vm8apiXK8/OObYeqwNhv7WpKNXycrfmxcUpKyszrDdrZI6tfUTKfFsAAADACvtdtO3Tp58k6fHHHtWdg4do8+bNIQuFvTNNU+lpaZLplSu5mdVxwlZVt61/+WRlZKTT/bNTdlam3C6Xctody+ZjIeSJilFu+25aOuVTZWdn6vffl1kdKSgq59g2lOlyqVfpViUxxzasGJJOLNumVYYppadp8+bN2rhxk9Wxaow5tvZSNd928LtLlJeXo61bt2p7mI7SiouLU5ejjtKixYu1aNEiq+MAAADAAWo803bAwEEUbC2SlpYqt9sld2oLGS562A6EWb+BDF99JScnyeulYzk2JkYpKcmKTkxT2iHtrY4T8VKatlFsSpaSk5IUFxdrdZygyM3JVnR0tNqVl6hZReR0DzuJT9LpZdvk8vvVqEGevJ7w+jnDHFt7Ctf5ts8994wuLsiXJEVFRenTTz/Wc889oy+/+Fy9e/eyOB0AAACcoFY7jrRq1UqnnnKysrOz5fnbi7pL+18WlGCozuVyKT0tVXL55Eo+2Oo4Ya+y27aVSpdNUmZGun7/IzK6HWuramOshh17yjBr/Lsc1FDlRm89Nfejl5Wbm6N58361OtIBSUpMVEpKsjIqytWVObZhLdVfoRPLtutTT7QaNaqcb7u3zUftiDm29hWO8207duigp556WpLUq2fPyvFgh7ZQn759dP11/9Unn3xqcUIAAABEuhpXZ0479VR98P67atq0iXr27CGPx61DDjlYRx3VWZs2hd9bKcNFelqqXC6X3KktZZiRsbu31cz4XBlRiUpKSpTP57M6jmVSU1IUExOtlKatFZeWY3Ucx4hNzlDaIe0UHRWltLRUq+PUWlSUT3l5OfL6K3Rq6dba/SYQtnJYRalalpcoNjZWWVmZVsfZL1VzbI9kjq1t9T0iXY1SopSSkqykRPsfo3r14rVhwwZJUtdux+qTjz/Rtu3b9eUXX6pRo0bWhgMAAIAj1Lhoe+2112jo0LuVX3CJSktLdefgoTr6mK768MOPtGLFilBkdDy326XUtFTJHS1XUlOr40QMwzDkTmslwzCUmZludRxLuN1uZWVlyuWNUk67blbHcZzsdsfK7YtRVmbGHu9aCAemaeqghg1lmqZOKtuuBIVHRyb+3Qll25VcUa70tFTVrx9vdZx/VDXHNq2eRwXMsbWtqvm20R5TeXk5irL5L0tX/rlS7du3V3R0tLp17aqvv/lGklQ/ob52hOlcXgAAAISXGhdtGzZsoC++/FKSVFJaqpiYGEnSyFEv6PzzzwtuOkiS0tPS5DLNnV22zOgLJrNetozoyq6fqKgoq+PUuezsTLlcpnLad5MnKsbqOI7j9kYp94juMk1TOdlZVsepsfj4eoqKjlLb8hI1ZY5tRPGocr6t4fcrPT3N6jj75PFUzrH1uAxdxRxb26s+37ahrQvsL7zwooY//ZRmTP9eq1ev1uTJUyRVjk2YN3++xekAAADgBDUu2m746y/FxVXuLL/qz1VqdsghkqT69eMVHc0MuWBzu91KTU2RPDFyJTa2Ok7Eqeq2laQsh3XbxsXFKjkpSbEpWUpt2sbqOI6VfFBLxaXlKjExQfXqxVkdp0bMnfOPsyrKLU6CUEj2V8gnv1w2nnPdIC+PObZhpl3DeJ3YIknR0VHKtvEvqwoL/6dTTj1dAwfdqNNOPzMw2/n3P/7QQw8+bHE6AAAAOEGNX4lNmzpNxxxztCTpo48/1t13D9XDDz2oZ0YM17fffhfkeMhIT5NpmnKnHkaXbYiYcZkyYlKVkJDgqF885OZUzq9t0LGHrbudIl3lpmQ9JMNQbm5OWB2LqqwmYxEiVuUiwb7nZHx8PTVKiVJX5tiGlT5HpCvO51J8fD2ro+xT586dNGvWLI0bN05bt24NXP7ll1/ph+nTa3RfF110ob4Y/7l+nT9Xv86fqw8+eE/dunUNXO/z+TTsvns1e/YsLVwwX6NGPq+UlJTgfCMAAAAIWzUu2t5+x516//0PJElPPvmURo4cpdTUVH38yacadMONQQ/oZB6Pp3LR7o2TK/Egq+NErMpu29aSpKzMDIvT1I20tFRFR0cp7ZB2ik0Oj42GIllMYprSDz1SUT6f0sNoUzJjZzHPviU9HChDkl1/j1DV6V0/xh1Wv+xA5XzbuCiXrbu4X3v1FU3+7ltdd91/D3hDvj///FPD7r9fPXv1Vq/eJ+m77ybr5Zde1MEHHyxJGjp0iE444XhdfvkVOvOsPkrPSNeLL4wMxrcBAACAMFbjjb6rdtKVJL/fr+EjnglmHuwmIyNNpmnIk9ZKhmHfFzaRwBWXrvLYdNWXFBMTU62rJtJ4PB5lZWbI7YtWdttjrY6DnbLbdNG632YrIyND69ZvUElJidWR/t3OOhnPTpHLlGxbtTXNylw+N2dgOPK6zUDh3Y7atz9CZ519lvr2OVsDB1yv776brDfefFPjxn2m0tLSGt3X+PFfVPv8wQcf0kUXXqj27drqzz//1Lnn9NPV11yr776bLEkaOGCQvvlmotq1a6sff5wZtO8JAAAA4aXGq+VlfyxVcnLyHpcnJiZo2R9Lg5EJkrxer1KSk2V442XWb2B1HEdwpzuj2zYnu3ITmNwjjpfb55xxEHbn8viUd+QJMk1DuTn2nfO4u6ruRnuW9BAMpnZ1VNuNufOXmV6KtmHJ5zYChXc7Wrd+vUaNekEnnNhTJ598qpYsWaL7h92nmT9O1z1336XmzQ+t1f2apqnTTj1VMTHRmj7jR7VqdZi8Xq8mTfo2cJtFixdr+fLlat++fbC+HQAAAIShGnfa7ustiF6vTyUlNes8wL5lZKRXvm0/nS7bumLGpMqMy1S8pLjYWG3essXqSEFXr16cEhMTFJeWq+SDWlodB3+T2OBQxWf+JGmp6sfH66+NG62O9I+qfhrwDBW5TL/fro22gS5Nr9umAfGPvC4zbNY3v8yerTVFRVq/fr2uvvoqnXNOP+XnX6QZM37UzbfcqgULFvzrfTRr1kwffvCefD6ftmzZov9c2l8LFy5UyxYttGPHDm382/N9UVGx0lL3PS7H6/XK6/UGPo+Nja39NwgAAABb2u+i7X8uuVhS5UiE8847V1t3K2iZLpc6duigxYsXBT+hA/l8XiUnJcrwJciMz7M6jqO401qrZPOfyszM0MJFi62OE1TGzo2utHPjK2ZA2o9hGMrr0EOz3x+l3NxsbZy7KbBjuR0FNiKzcUYcGFP7/mWt1Yyqoq0rPAp/qK6qQ9o0TVVUVFicZu/cbrd69DhR5/Trp2OOOVo/z5qlO+64U+++976Sk5N18003auTzz6prt+7/el+LFy/WCSf2VL169XTySb315BOP68yz+tQ627XXXK1BgwbW+usBAABgf/tdtO3f/1JJlS/eLrrwApWXlweuKy0t1bJly3XzLbcGP6EDZWZk7NZla88Xy5HKjEmWWS9H9bRc9erFadOmzVZHCpr0tNTKja4OPUIxiWlWx8E+RNdPVmbLjvrzl8nKyEjXn3+usjrSvlUVbS2OgdCp3IjMnj+HdnXacgaGo6oOabsWbe+9526dfvppkmHonXfe0b33DdOvv/4auH758uW6+557NfPH6ft1f6WlpVq6dKkk6ZdfflGbNq116aWX6IMPPpTP51N8fHy1btvU1BStKSra5/09PXyEnh85KvB5bGzsfmcBAABAeNjvom3HTkdJksaOfUuXXnqZ/vrrr5CFcrKoKJ8SExNkRCXJrJdjdRxHcqe1Usmm5crMzNCmTZHRPe71epWRkSFPdKyy2xxtdRz8i8xWR2ntktnKSPdr3bp12rHDnpuSGX/7G5GncqatPVUVbX2MRwhLu3fa2lHTg5vqjjsG65NPP93nxpDr1q3T2X361er+DdOU1+vTrFm/qKSkRF26HKVPPvlUktS48UHKycnRjBkz9vn1JSUl4bFhJQAAAGqtxjNt+9RycYr9Q5et9czoRJnxeYrTH4qPr6eNGzdZHemA5eRkVW5wdcQJcnl8VsfBv3C5Pco78kQtmvC2cnNytGjxEqsj7ZVBp23EMyTZdaht1SZWdNqGJ1+gaGvP86tfv3P/9Tbl5eWaOnXqv97u1ltu1lcTJmrFihWKi4vTGaefps6dOum88y7Qpk2b9Mabb2nokMHasGGDNm3arPvuvVvTp0/Xjz/ODMa3AgAAgDC1X0XbIUMG66GHHta2bds0ZMjgf7ztXXfdHZRgThQdHVXZZRudIjMuPHaPj1TutFbasfEPZWZmhH3Rtn58vBLq11d8ZkMlNazdbteoe4l5B6t+ThNp+SIlJNTXhg02fHcDRduIZ8pv282iGI8Q3nYfj2BnTZs2VXZ2trweT7XLPx8/fr/vIyUlRU89+bjS0tK0adMmzZs3T+edd4G+mTRJkjR06F3yV1Ro1MiR8vm8mjjxa9162+1B/T4AAAAQfvaraNuyZQt5PB5t27ZNLVu22Oft7LxhTjjIzMiQJLnTW9NlazEzqr5c9RsqVktVv368/vpr479/kQ0ZhqGc3GzJMJXXgc3Hwk2DI0/ULyt/U05OtjZu3GS7uY9V55MhnvsjVTiMR/AyHiEs2X08Ql5enl58cZQObdZMfr8/8HxXtdbNzWu43/c16IYb//H6HTt26Lbb79Btt99R67wAAACIPPtVtN19JALjEUIjJiZaCQn1ZcSkyYxNtzoOJLnTDtOOv35XVmZG2BZtMzLS5fN6ldmyo6LrJ1sdBzXkq5egrFZHacVP3ygzI10rVv5pdaRqqkpl9iy5IBjsPR6haqYtZ2A4snun7T13D9WyP5apX99zNHXqZPU+6RQlJSZq8OA7dfc991odDwAAAA5wQCvlrKxMZWVlBiuLo2VmVnbZeuiytQ3TFy93QiNFR0crMSHB6jg15vN5lZGeJk9MPWUe1tnqOKiljJYd5auXoLS0VEVFRVkdpzrGI0Q8U7LtzyQ6bcObz7Wz09am4zfat2+vhx95ROvWr1dFRYX8/gp9/8MPuv+BB3TvPXdZHQ8AAAAOUOOVssvl0o033qD58+Zo2tQpmjZ1iubPm6ObbrpRbneN9zULueOP765J30zUt99+o/POPcfqOHsVGxuj+vHxMmMzZMamWR0Hu3GlHSa/DGVmhl/3c25OjgzDUIMOPeTyeK2Og1oyXW416NBThmEoNyfb6jjV7BqPgEhlz3JapUDR1mXnlNgXu49HME1TmzdvkSStW7de6emV64Dly1eocePGVkYDAACAQ9S4ynrvvfeod6+euve+YZoxY4akym6EQQMHKDExUbfeelvQQ9aWy+XSkCGD1adPP23cuFGfjftEn44bp/XrN1gdrZqszF2zbGEvpjdO7qQmMtYtVFJiotatX291pP2SkFBf8fH1VD+niRJym1odBweofvZBSmzQTPp9vq3OQ8YjRD5z5/xOwzBsN7feNCvPQDYiC0+7xiPY89c+v/66QC2aN9eyZcs0c+ZMXXXllSotKdX5F5yn33//w+p4AAAAcIAav9I54/TTdP2AgXr11dc0b958zZs3X6+++poG3XCjzjj9tFBkrLW2bdtowa8LtGrVKm3dulVfTZigY4851upY1cTFxapevXoy62XLjEmxOg72wp3aUpIZNt22pmkqJydbhulS3pEn2PatzaiZvCOOl+FyKzsnSy6bdBYGOm1tVsxD8FQ9e9jxeaTqbfWMRwhPdu+0feLJp2TsLCg//MijysvL1bvvvqPuxx2nOwcPtjgdAAAAnKDGK+WSkhItW7Z8j8v/+GOZSktLgxKqSocOHVQ4+iX9OGO6Vq5Ypp49euxxm4L8fE2bOllLFi/URx9+oDZt2gSuS09P16pVqwKfr/pzlTIyMoKa8UBlZVbOBHantbI4CfbF8MTIldxUPp9PyUlJVsf5V5kZ6fJ6PMps1VlR9RKtjoMg8cbGK7vNMfK43crMtMks8Z21MnuWXBAMdj62bEQW3uxetP3666/16afjJElLly7VMcd2U8vDWuuwVm303XeTLU4HAAAAJ6jxSvnll0drwPXXyevdNSPT6/Xquv9eq5dfHh3MbIqJidacufN02+137PX6U089RUOG3KnHHntCPXr21ty5c/X6a68oOTk5qDlCpV69eoqLi5UZnysz2v7FQCdzp7SQjMpuWzt2nFWJivIpLS1VvrgEZbbsZHUcBFl68yMUVT9ZqSnJio6OtjqODLERWaSrOrZ2fN7btREZZ2A48gXGI4TP8duwYYPVEQAAAOAgNZ5p27JlS3XpcpRmTP9ec+fOlSQ1b95cHo9H3377nV4YNTJw20v7X3ZA4SZMmKgJEybu8/rL+vfX66+/obfGjJEk3XzLrerevbvOPaefho94RqtXr67WWZuRmaGfZv68z/vzer3VitGxsbEHlP/fZGVmyC+6bMOB4YmWK/kQeYvnKTk5ScXFa62OtFeBzcc69pDpst/GgDgwpulSg4499etnrykvN1u/LlhkaR42Iot8th6PYDIeIZxVFdsNGxVtd1/D/psDXeMCAAAA/6bGVZ2NGzfqk08+rXbZypV/Bi3Q/vJ4PGrV6jANHz4icJnf79ekbyepffv2kqSZM3/SIc0OUUZGhjZu3KjjunXTE088uc/7vPaaqzVo0MCQZ5ek+vHxio2NkVm/gcyohDp5TBwYd0pzla9doIyMdK1du852m/IkJSaoXr04JeYdovrZ7GwdqeIzGijpoBbSkjlKTk7S2rXrrAvDeISIZ8pez3O7M01ThiS3TTeywj+z43iETZs27frEMNSrZw9t2rRJP/88S5LUqtVhio+PD4xNAAAAAEKpxkXbAQMHhSJHjSUlJcntdquouKja5cVFxWrSuIkkqby8XHffdY/Gjn1LpmHqmWef1fr1G/Z5n08PH6HnR44KfB4bG6uZP04PSf7MLLpsw43hjpIrpZm8RXOUkpKsoqJiqyMFGIah7JxsGS63co88weo4CLG8w7trwx8LlZ2dpfXrN6iiosKSHLvGI9i3sIcDY+9OW0Net2HLbPh3XlfVeAT7HL/d17i333arPvzwI918y62B51jTNHX//fdp86bNVkUEAACAg0T8+6c/Hz9en48fv1+3LSkpUUlJSYgTSQkJ9RUTHS0z4SCZvviQPx6Cx51yqMrX/qqM9MpuW6uKZX/n8XjkcbuV1PBQ+WI5pyKdJzpOyQe1UNGCmfJ6Pdq+fYclORiPEPl2zbS1NMZemabJPNsw5rNhp+3uzjmnn04/48xqP+crKio0cuQovf/+e7rn3vssTAcAAAAn2K+i7WfjPlHffufqr7/+0uefffqPbwvv0bN30ML9k3Xr1qmsrEypKanVLk9JTVFRUdE+vsoeMjMy5Jchd1pLq6OghgyXT+6U5tKaWUpNSdbqNfY61wzTZXWEOuGJigl8XLZjm+SvkAxTbl90tesimR2OtcF4hIgX6LS1YWneNM1A4Q/hx47jEXbncrnUpHETLV68pNrlTRo3kWnH32IAAAAg4uxf0fazz1Wyo7KTa9y4z0IaaH+VlpZq1qxf1KXLURr3WWUmwzDUpUsXjX55tLXh/kFiYoKio6PkSmws01vP6jioBVdyM5UVz1d6erqKitfaptvWSVqe1j/w8ZwPX9LWdasUk5imFqdcYmEqJ6oaj4BIFTi2NixS0Wkb3lymZBqSadjzGL41ZqweffRhNXi6gX6a+ZMkqW27trrm6qv01pix1oYDAACAI+xX0faxx5/Y68ehFhMTo0aNGgY+z83LVYsWzbVh/QatWLlSI0eN0hOPP6afZ83SzJk/qX///ygmOlpvvjXmgB63ID9fBQUXhaT7IzMzQ5IhdypdtuHKcHnkTm0urf5JaakpWrV6jdWRAEswHiHymTvfWWPDmu3Ooq0Ng2G/GIYhj8uwbaft3Xffo6I1a3T5ZZcpPT1NkrR69Ro9++xzeu75kRanAwAAgBPUeKZt69atZZqGZu7sOqjStm0blZdXaNasWcHKptatW+mdt3d1M9w1dIikyu6HAQMG6oMPPlRyUpJuvGGQUlNTNWfOXJ1/wYUqLj6wDaJGFxZqdGGh4uLitODXeQd0X7tLSkpUlM8nV1JTGd7YoN0v6p4r6WCVFc9TenqaiorXqry83OpIQJ2rKuRRNotc9t6IjPEI4c7nNm1btPX7/Xrm2ef0zLPPKS4uTpK0eTMbkAEAAKDu1LhoO+y+e/XMs8/uUbTNyMjQ1VddpZNPOTVY2TRlylRlZef+421eHl2ol0cXBu0xQ8UwDGVmZFTO3UxtYXUcHKDKbtsW0qoflZaWqj//XGV1JMAChgy/n6JtBNtVTrPfUTYMg07bMOfzmDJN+x/DgvyL9L9XXrU6BgAAABymxu0NBx/cVL/8MnuPy2fPnqODD24alFCRKDkpUT6fV66kg2V4Im+jJMPlk9xRlX9227pG7qjK6yKQK6mp5I5SWmqqXC7rN4UC6pphGI6YZxvt9yvWX6FYf0VgXIC587Lof9iYMxJUHV+7Ndq6XJXJmGkb3rwuMyx+fl577TVKSEiwOgYAAAAcpsadtjtKSpSamqI//vij2uXp6WkqKysLWrBIYhiGMjIyJMMVsV22vqYnBz7esehT+bevkxGVKF+TXhamCi3DdFfOJv5zutLT07Ry5Z9WRwLqlGHYsf8y+C4p3RL4uNATq9WGS6n+CuXvdnmkChRtbXakqzav8roo2oYzr9u+M213Z8fxIAAAAIh8NV4pf/P1N7r1lltUr169wGXx8fG65eab9c2kSUENZ5WC/HxNnPClPvn4w6DcX0pysrxej1zJh8hwRwXlPmEPrsQmkjtGaakpcrtr/DsQILw5pNPWyQKlKpsVraoKfYxHCG9et0lBFAAAANiHGleZ7r7nXv3fO2/r+2lTNHvOHElSi+bNVVxcrP9ed13QA1ohmBuRVXbZpkuGW+6U5kFKCLswTJfcaYepbOU0paenacWKlVZHAuqMIUOGIns8gNOZO4+v3epqVUVbNiILb1VFW8Mw5LfxqJGu3Y7TqlWrrY4BAAAAh6lx0XbVqlXqfvwJOvPMM9SieXNt375db701Ru+99z7jEfYiNTVFHo9brpRDZbgjc7ar07kSD1JZ0Wylpvi1Zs0alZby/wGcwTBq8XYNhJVdM23tVbU1TGbaRgLfzk5p0zRVXl5ucZq983g88vv9lZvJ7mbFSn5JCwAAgNCq1fu5t23bptdeez3YWSKOaZrKSE+TTI/cKc2sjoMQMQxTnrRWKl0xRRnp6Vq2fIXVkYA64ZSNyJxs17aS9iraMh4hMlQV3e1YtG3UqKEee/RRHX54+2qXV3UF5+Y1tCYYAAAAHKNWRduzzjpTF15wvvLyGuiUU0/TihUr1L//pfrj9z/02eefBztj2ErdOefUndJchstrdRyEkJnQUEbRbKWk+LV69RqVlJZaHQmoAxRtI13g+NqsNmqalYHotA1vu4q2NjvBJD3x+GMqKyvXRfkFWrNmja3HNwAAACAy1bhoe9FFF+rGGwZp1Asv6rr//lcul0uS9Ndff+nS/v+haLubxMQEyXDJlXyI1VEQYoZhypXaQv4VU5WQUF9rioqtjgSEHOMRIp9dxyOYjEeICF7XrvEIdtOiRQv17NlbixYvtjoKAAAAHKrGq+RLLi7QjTferKeeelrl5btmd/788ywd2iwyRgAU5Odr4oQv9cnHHx7Q/RgyJJdHhssTpGSwM8MdXfm3zYobQKgYhiGD7rOIVnV87ToeweeyVy7UzO7jEexmwYKFSkpKsjoGAAAAHKzGq+Tc3Dz9Mnv2HpeXlOxQdHRMUEJZbXRhobp2667eJ51idRQAsC2D8QgRz77jEei0jQS7b0RmN/cNG6Y77rhNnTp1VGJiguLi4qr9AQAAAEKtxuMRli37Qy1btNCKFdU3W+rWtasWLVoYtGAAAHtjPELkC2xEZrN3ELARWWQIdNoa9nsmeevNNyRJY956s9rlbEQGAACAulLjou3IkaN037B75YvyyTAMtW3TRqeffpquveZq3XDDTaHICACwI4NO20gXmGlrs1ZbOm0jg53HI5zdp5/VEQAAAOBwNS7avv7Gm9q2fbtuuulGRUdHa8SIp7Vq9WoNHjxE73/wQSgyAgBsyDDsVspDsDEeAaHktfF4hKlTp1odAQAAAA5Xo6Kty+XSGWecrokTv9a7776n6KgoxcTGau3ataHKBwCwKUOMR4h0hnZuRGa38Qg78/gYjxDWdnXa2vM4xsfH69xzz1HTJk0kSb8uWKA333xLmzZtsjgZAAAAnKBGr7fLy8v14AP3y+fzSZK2bd9OwfbfsLE6gJCwwZOLYQSKeohMjEdAKPlsPB6hVatWmjz5W/Xvf6kSEhKUkJCgyy/rrymTv9VhLVtaHQ8AAAAOUOPxCDNn/qTDWrbcYyOySFKQn6+Cgots+SIC9kcJC05Bp23kYzwCQsnrsu94hLuGDtH4z8frhhtvUnl5uaTKd5w98sjDuuuuoTrzrLMtTggAAIBIV+OibeH//qfBg+9UZmaGZv3yi7Zu3Vrt+nnz5gctnFVGFxZqdGGh4uLitODXeVbHAWqAkrHjWHnIDUMGp1xEq6rV2m48QlXR1mWvXKgZO29E1qpVK924W8FWqnzH2TPPPKtxn35sYTIAAAA4RY2Lts8+M0KSdM89dwcu8/v9MgxDfr9fuXkNgxYOAGBfhmHIpGgb0QLjEexatKXTNqxVHT/DhkXbzZs3KTs7W4sWL652eVZWljZv3mxRKgAAADhJjYu2HTp2DkUOAEAYsl+pBcFk+nduRGZxjr8zTVMuU3LZdAOr2qoXtWtZtnl7uSr8kmlIcVGuatdFiqqN5OzYafvBBx/q0Ucf1t333Kvp06dLko44/Ajdeefteu/99y1OBwAAACeo8SuASJ5lCwDYP1Wdl4afVttItmumrb2Ko6ZpyOuyX6HvQN17ZuPAx0PfW6Lf125XblKUhp5+kIWpQmfXeAR7nV+SdPc998rv9+vJJx6X2125XC4tLdX/XnlVw4bdb3E6AAAAOEGt2jYaNz5Il1x8sZo0bSJJWrRwkV56+WUtXrwkqOEAAPZUVbSNvLIZdmf87W+7ME1TPkYjhD07z7QtLS3V4CFDdf/9D6hBw4aSpN+XLtW27dutDQYAAADHqPEquXfvXvrqyy90WKvDNHfuPM2dO0+HHdZSX335hXr37hWKjECYoOMQzlHVeGm/UguCyc4zbX0ezr5w57XxeIQq27Zv1/z58zV//nwKtgAAAKhTNe60veP22zV8+Ag9/Mij1S6/YdBA3XH77frkk0+DFi78+UUhD0BkMnb7LyJV4PjasGhbVfBD+DINQ27TkGnYo2j7wqiRun7AQG3evFkvjBr5j7e9tP9ldZQKAAAATlXjom16eprGvv3OHpe/83//pyuvvCIooQAA9sZ4BGcwd/7i0Y6dtl7GI0QEr9uwTaftpk2b5N85p3vT5s0SM7sBAABgoRoXbSdPnqIORx6ppUuXVrv8yCOO1LRp3wcrl6UK8vNVUHCRbV5EAIDd7BqPQFEjkjHTFqHmc5u2WW8NGDho18cDBlqYBAAAAKhF0fbz8eN1++23qlWrwzTjxx8lSe3btdPJJ5+kRx59TCeecEK124aj0YWFGl1YqLi4OC34dZ7VcQDAhui0dYLA8bVRp21V1y/jESKDz2PKNO13LMeMeVOXXnqZNm7cWO3yuLg4vfTSC+rb9xyLkgEAAMApaly0vX/YfZKk/PyLlJ9/0V6vkyS/36/cvIYHlg4AYEtVhTP7lVoQTHbciKyqK9Pr4lcGkcDrMuVyuayOsYfOnTrJ4/HscbnP51OHI4+0IBEAAACcpsZF25zcBqHIAQAII7vGIyCS2XE8QqBoy3iEiOB1GzJt9EuBQw9tFvj44IObasOG1MDnLtOlrt26atWqVRYkAwAAgNPUuGgLAIAhOm2dwPTbbyOyXUVb+2RC7XndpgybzLSVpPGffya/3y+/36+xY97a4/rt27frjjsGW5AMAAAATkPRFgBQczuLeCa7q0c0O860rSrashFZZKgqvpumqYqKCovTSB06dpZhGJo65Tv1PukUrV27NnBdaWmpiouLbZETAAAAkY+iLQCgxhiP4AyBmbaWpqiOTtvIUlV8t0vRdsWKFZIYBwYAAADrUbQFANQY4xGcITDT1ladtpVZmGkbGbyBoq19zrHdNW3aVNnZ2fL+bVOyz8ePtygRAAAAnIKiLQCg5qrGI1gcA6G1azyClSmqYyOyyLL7eAQ7ycvL04svjtKhzZrJ7/cHfnHh3zkSJjevoYXpAAAA4AQ1XiG/8/ZYnX32WYqKigpFHgBAGKhqvLRRLQ8hYGrnRmQ2OtKMR4gsXtfOTlvDXkXbe+4eqmV/LFOrVm20bds2de3WXWeeebZ+/nmWzjq7r9XxAAAA4AA1XiHPnjNbg++8Qz/NnKGHH3pQ7dq1DUUuSxXk52vihC/1yccfWh0FAPbO4v2/qop4ptVBEFL2HI+wcyMyl72KfKgd724zbe2kffv2eviRR7Ru/XpVVFTI76/Q9z/8oPsfeED33nOX1fEAAADgADVeIQ8ZcpfatjtcAwYOUkpKiv7vnbc1ccKXuuLyy5WSkhKKjHVudGGhunbrrt4nnWJ1FACwJ8YjOEJgIzL71GwZjxBhfDYdj2CapjZv3iJJWrduvdLT0yVJy5evUOPGja2MBgAAAIeo1Qq5vLxcn346Thdf8h+1P/xIvfve+7rxxhs0/YdpeunFF3TUUZ2DnRMIH346DxH5qop49iqzINgCtVobVW0ZjxBZ7Npp++uvC9SieXNJ0syZM3XVlVfqiMMP14AB1+n33/+wOB0AAACc4IBWyG3atNENNwzS5Zf119q1xRo+fITWrVun/xWO1uA77whWRgCAzVS9XZ6yWWQLdNra6EibO889Om0jw66irX3OMUl64smnZOzM9PAjjyovL1fvvvuOuh93nAYPGWJxOgAAADiBu6ZfkJycrLPPPkv9+vZVo0YNNf6LL3TV1ddq4sSJgduMGTNWr732iu6+595gZgWwT/5qf8E5rDrku2baIpLtmmlraYxqAjNtKdpGhKqOacNmnbZff/114OOlS5fqmGO7KSEhQRs2bLAuFAAAABylxivkGdO/13nnnqOxY8eq/eFH6rLLrqhWsJWkufPm6aeffw5WRgCA3VSNR2AcSEQzJBl+v+zUU814hMjis+l4hMcefUSxsbHVLtuwYYOio6P12KOPWJQKAAAATlLjFXLffufq2K7H6dnnnte6dev2epvNmzerT59+BxwOAGBPjEdwDlO7jrcdsBFZZPHadCOyPn3OVlRU1B6XR0dF6eyzz7IgEQAAAJymxuMRvv/++1DkAACEEcYjOIche45HoGgbGbwue3XaxsXFyTAMGYahuLg47dixI3Cdy+XScd2PU3HxWgsTAgAAwCn2q2j7+Wefyr+fb4Ht0bP3AQWKJP7d/gsH4G3icJKq8QjWpkAdMCVbVW0DM21d9smE2vPabDzC/Hlz5Pf75ff79e2kr/e43u/365FHH7MgGQAAAJxmv4q248Z9FuocAIAwwngE5zDkD3RW24FpVqZxU7SNCLvGI9jjeJ7dp58MQxo75i1d2v/yahuPlZaWaPnyFVq9erV1AQEAAOAY+1W0fezxJ0IcAwAQTnaNR6DDPNJVzrS1OsUupmnK4zZsNWcXtWe3jcimTp0qSerQsbNWrFhhcRoAAAA4mT1WyACA8GJU+wsRzI4bkVXNQUX4C4xHMOx1TJs2baojjzgi8HlBfr7Gfz5OI4Y/rfr161uYDAAAAE6xXyvkObN/UVJioiRp7pxfNGf2vv8AACJfVRHPXmUWhILdBmEYpimfhzMvUuwaj2CvY3rnHbcrrl6cJKlZs2YaMuROffnVBOXm5WrokMEWpwMAAIAT7Nd4hKF33aXNW7ZIkoYMvSukgeygID9fBQUX2e4FBADYxa7xCIh0LtlrPILLNOVz2ygQDoh754xiu6258vJytWDBQknSSb17afwXX+iBBx7UYS1b6pVXCi1OBwAAACfYr6Lt2LFv7/XjSDW6sFCjCwsVFxenBb/OszoOANgP4xEcw/D77TcewW2vAh9qzzAMed2G7Yq2JSWlio6OliQdfXQXjX37HUnS+g0bVK9ePSujAQAAwCH2q2i7Lz6fTx6Pp9plmzdvPqBAEcW/8w8chUMOJwiMR/Bzxkc6U7s6q+2AmbaRx+s2ZZr2Occk6YcfftDQIYP1w/TpatOmja648mpJUuODDtLKP/+0OB0AAACcoMZF2+joaN1x+2065ZSTlbhzzu3ucvMaBiMXAMDGmGnrHJUbkVmdYpeqzkxEDp/btF2n7e2336Fh99+nk07qrVtvvU2rVq2SJHU7rpsmTphobTgAAAA4Qo2Ltnfecbs6d+6kW269TU8/9aRuu+0OZWRm6MILztd9w+4PRUYAgM0Yf/sbkcuQbFO1rSrsMR4hsnjdplwul9UxqlmxcqXy8y/e4/KhDtjbAQAAAPZQ46LtCSccr/9ed72mTJmqxx97VNO+/15Lly7V8uXLdeYZZ+jdd98LQUwAgK3QaesYlZ22FG0ROpUzbe1xjgEAAAB2UeNXPQkJCfrj9z8kSZs2b1ZCQoIk6fvvf1DHjh2CGg4AYE9V5RVKZ5HPkH06qquKtj7GI0QUn9uUYfBsAgAAAOyuxivk33//Q7l5eZKkxYsW6dRTTpYknXjC8fpr48bgpgMA7IO1G4BVdV5SOot8pvyMR0BIed2GDMOwTUc3AAAAYAc1ftXz1pgxatH8UEnS8BHPKD8/X0sWL9TQoUP07LPPBT0gAMB+dm1EZm3xGKFnz/EI9siD4Kgqwlu9GdmhhzazzbkOAAAA1Him7ahRLwQ+njTpWx1zbFe1anWYli5dqnnz5gc1HADApnbWNeh3jHx2KmFVzT31ujjzIknV8TRNQ+Xl1uX4/LNxatO2vdauXaspk79V75NO1vr1G6wLBAAAAEercdH271asWKEVK1YEIwsAIEwYYjyCU9ix09bHeISIUtU5bXWn7V8bNyovL1dr165Vbm4uc3YBAABgqRoVbQ3DUL++fdWrd0/l5uTK7/dr2bJl+ujjj/X22++EKiMAwG4C4xEQ6ex0jBmPEJl8NhmP8MnHn+idt8dqzZo18vv9GvfpxyrfR+tvp85d6jgdAAAAnKZGRdvRo19S9+OO09y5czV//nwZhqEmTZvoiccfU+9evXTJfy4NVU4A+4X5oqgbVY2XlM4in+GvfF4xDEN+v7XPMWxEFpkCM20t7my96eZb9Mmn49SoYQPdc8/deu31N7R58+YDvt9rrrlavXv1UpMmjbV9+3ZNnz5D9w0bpsWLlwRu4/P5NGTwnTr1tFPl83o1ceLXuvW221VcXHzAjw8AAIDwtN9F2359+6pjhw7q2+8cTZ48pdp1Rx3VWS+9+ILOPvssOm4BK1CrRR2rGo9gWlzEQ+hVldEo2iJU7DIeQZImTpyoiZJatWqlF154UVu2bDng++zUsaNGFxbqp59+ltvt0i233Kw3Xn9Nx3Y9Ttu2bZMkDR06RMd3P06XX36FNm7cpPvuu0cvvjBSp51+5gE/PgAAAMLTfhdtTz/9ND399PA9CraS9N13kzV8xDM684wzKNoCgAMYjEdwjF1FW0tjSGI8QqTy2mQ8wu4GDBwU+DgzM0OS9Oefq2p1X+dfcGG1z6+/fqBm//KzWrVqpWnTpqlevXo695x+uvqaa/Xdd5MlSQMHDNI330xUu3Zt9eOPM2v5XQAAACCc7ffq+NBDm2nCxIn7vH7CVxPUvPmhwcgUYehCcw6ONRyE8QiOYezlI6uYOyvHbEQWWexYtDUMQwOuv07z583R99Om6vtpUzVv7mxdf/11B7wxX3x8vCRpw4YNkqRWrQ6T1+vVpEnfBm6zaPFiLV++XO3bt9/rfXi9XsXFxQX+xMbGHlAmAAAA2M9+d9omJCSoqGjfc7WKiotVv379oISKHBTxAESmwHgEi3Mg9HYfj2A1xiNEJp+r8twyTOvPsSq33HyTzj33HA27/wH98MMPkqQjjzxSgwYOkM/n04MPPlSr+zUMQ3fdNUTff/+9fv31V0lSWmqaduzYoY0bN1a7bVFRsdJSU/d6P9dec7UGDRpYqwwAAAAID/tdtHW5XCorK9vn9eXl5XK7a7SvGQAgTDEewTlMVW1EZnEQ7Va0ddkgDILGjp22ffr00Q033KTPx48PXDZv3nyt+nOVhg27r9ZF22HD7lOzQw7R6Wcc2Kzap4eP0PMjRwU+j42N1cwfpx/QfQIAAMBe9rvKahiGnnjiMZXsKNnr9V6fN2ihAAA2t7NmZvKOgohnq/EIdNpGJDttRFYlIaG+Fi1etMflixYvUkJCQq3u875779EJx3fXGWeeXW0+7pqiNfL5fIqPj6/WbZuamqI1RUV7va+SkhKVlOx9TQ4AAIDIsN+r47Fj39ba4rXatGnTXv+sLV4bMZuQFeTna+KEL/XJxx9aHQUAbKlqPIL1ZTyEmh3HIzDTNrLYsdN27tx5urigYI/LLy4o0Nx5c2t8f/fde4969uypPn37admyZdWumzXrF5WUlKhLl6MClzVufJBycnI0Y8aMGj8WAAAAIsN+d9ruvotupBtdWKjRhYWKi4vTgl/nWR0HAGyH8QjOsatoa2kMSbt32togDILGjkXbe+8bplf+N1pHH91FM2b8KElq376dsrKydMGF+TW6r2HD7tMZp5+miy+5VJs3b1Hqzjm1mzZt0vbt27Vp0ya98eZbGjpksDZs2KBNmzbrvnvv1vTp0/XjjzOD/r0BAAAgPDCEFgBQc4HxCIh0RuBv6wulVUU9D522EcVnw/EIU6dOVZejj1VBQb6aNG4sSfrk03EqLPyfVq9eXaP7Ksi/SJL0f++MrXb59QMGasyYysuGDr1L/ooKjRo5Uj6fVxMnfq1bb7s9CN8JAAAAwhVFWwBAjVV12lpfxkOomf6dc4tt0GprmoZchuQ2rc+C4NnVaWuv47p69epabzi2u6zs3H+9zY4dO3Tb7XfottvvOODHAwAAQGSwT0sDECnYlwkOYMiQ4fdTtHWAQKetDQ62aZpsQhaB7DgeAQAAALAaq2MAQI0ZBl22ThGYaWuDI26aJpuQRaCqY2oaHFsAAACgCqtjAEAt2KGEh7oQWCjYoNXWNE15PSxdIo3XZb+ZtgAAAIDVWB0DAGrMMAx+gDiE3cYjVG1ahchhmobcJkVbAAAAYHdsRAYAYcjq0cmGIZmWp0BdqDrOhg2qtqZpyuuisBeJvG7TtkXbpMREtW3XVi7TpZ9+/llr1qyxOhIAAAAcgKItAKDmDMYjOMWuMpr1R7xyIzLrcyD4Kou29ju2vXv30qOPPKwlS36Tx+NW48aNddttd+itMWOsjgYAAIAIR9EWAFBjhhiP4BSBjcgsrqdVdfp62YgsIvls0mkbExOjrVu3Bj4fOGCATjr5FC1Z8pskqXv34/TwQw9RtAUAAEDIWb86jmC8cdipOPKIfJXjEeAEu2baWlu1rSroUbSNTF63IZcNirafjftEPU48MfB5eXmZUpJTAp+npqSqtLTEimgAAABwGDptAQA1x3gExwh02lp8xKuKtmxEFpm8blOGDYq25553gYYNu1d9+/bRbbffoTsHD9Wzzz4jl8uU2+1WRUWFrh8w0OqYAAAAcACKtgCAGjMkuawOgTph+ne+e8DiWimdtpHNLuMRli9frosuKtDpp52md94Zq5defElHdTlaDRs2lMtlatGixdqxY4fVMQEAAOAA1q+OAQBhxzAMGX5GgTgB4xFQF6o2mLND4VaS3nv/ffXufbKaN2+ut8eOkWkamjNnLgVbAAAA1Bk6bYFIQg0NdcQw2IjMKewzHqFqIzLGI0Qir6vyTDNNQxUV1mY57rhuatq0qebOnasbbrxJHTt21PCnn9aECRP08COPavv27dYGBAAAgCPwmhuIANRqncyao2+Ioq1TGHt8YI1Ap62LMy8SVXVQm4a1x3fw4Dv1+GOPqk3r1nrwgQd0/fXXaerUqerRs5e279ihzz/7VN26dbU0IwAAAJyBVz4hRznNMXirOBzEMCyv4aGOBDptbTIewcd4hIhkl/EIffv20QUX5uvKq65W75NO1llnnSlJKi0t1cMPP6L/XHqZ/nvttZZmBAAAgDPwyieUqOE5EocdjsB4BMcwdz6rWT8eoWqmLb8uiERVxXjD4qLttq1blZeXK0nKysrUju3VZ9guXLhQZ5x5lhXRAAAA4DDMtAUA1JhhGDJk8eBJ1AnbjEcw2Igsktml03bY/Q/oqSef0D13363o6Chdf/1AS/MAAADAuSjaAgBqhdKZM9htPAJF28gUmGlrcdH23Xff08SJE5WX10C//fabNm7caGkeAAAAOBdFWwBAjRmGIZNZII4QKNpaPh6h8vF9jEeISLuKttYf3/XrN2j9+g1WxwAAAIDD0a4CAKixyvEIcIKq42xxoy2dthHOLuMRAAAAALtgZQwAqBV+gDiD6d/ZUm2X8Qgufl0QiXwue4xHAAAAAOyClTEAoEaqZpsGinmIaMy0RV2wy0xbAAAAwC5YGYcaNQ0AEYp+R2cw/va3VSjaRjbGIwAAAADVOWJl/OILozR3zi8aOfI5q6MAQNgLdNpanAN1I3CcbdJpy0ZkkYlOWwAAAKA6R6yMX3jxRV13/QCrYwBARKBo6yz2GY9Q+fh02kYmX6BoS1EeAAAAkBzymnvKlKnavHmz1TEAIHgsnCdbVbujtOIMdhmPYOzswPSwEVlECoxHMByxNAUAAAD+leUr4w4dOqhw9Ev6ccZ0rVyxTD179NjjNgX5+Zo2dbKWLF6ojz78QG3atKn7oACAnao6bRna7QRVx9n6TltTHpdheQ6EBuMRAAAAgOrcVgeIiYnWnLnz9MabY/TSi6P2uP7UU0/RkCF36pZbbtOPM2eq/6X/0euvvaKjj+mqtWvXSpLGfz5OLtee38q5552v1atXh/x7AAAnYTyCs+yaaWtlispino/RCBGLoi0AAABQneVF2wkTJmrChIn7vP6y/v31+utv6K0xYyRJN99yq7p3765zz+mn4SOekSSdcGLPoGTxer3yer2Bz2NjY4NyvwAQSRiP4Cy7xiNY3GlrmIG30CPy+HaOvaBoCwAAAFSyvGj7Tzwej1q1OkzDh48IXOb3+zXp20lq37590B/v2muu1qB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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 120 + }, + { + "cell_type": "markdown", + "id": "035a7fa3", + "source": "**M11 — Sunshine duration (`INST`)**\n\nLeft: distribution of daily sunshine hours across all stations and years. Right: monthly boxplot — how much sunshine does each calendar month get on average?\n\n**What to look for:** a strong July peak and December trough. Wide interquartile boxes in summer reflect the north–south gradient — southern Mediterranean stations get significantly more sun than northern ones.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "07ce389b", + "source": "eplots.plot_sunshine_overview(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:19.097094406Z", + "start_time": "2026-05-25T22:41:19.016270451Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[plot_sunshine_overview] INST (sunshine hours) column missing.\n" + ] + } + ], + "execution_count": 86 + }, + { + "cell_type": "markdown", + "id": "44536fbf", + "source": "**M12 — Temperature vs precipitation on rainy days**\n\nScatter of 50 000 randomly sampled rainy station-days (RR > 0), coloured by season. Y-axis is on a log scale to make the full range of precipitation intensity visible.\n\n**What to look for:** winter points cluster cold-left / low-intensity; summer points extend warmer-right and occasionally spike high (intense convective storms). The spread reveals which season produces the most extreme single-day rainfall events.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "1f08686a", + "source": "eplots.plot_temp_precip_scatter(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:19.209966776Z", + "start_time": "2026-05-25T22:41:19.098149769Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[plot_temp_precip_scatter] TM, RR, or season column missing.\n" + ] + } + ], + "execution_count": 87 + }, + { + "cell_type": "markdown", + "id": "7cc76fac", + "source": "**M13 — Long-term trends in temperature, precipitation, and wind**\n\nThree-panel chart of annual aggregates from the earliest year to the latest. Each panel shows the raw annual value (thin line), a 10-year rolling mean (thick), and a linear trend (dashed).\n\n**What to look for:** a statistically significant upward slope in temperature; high interannual variability in precipitation with no clear long-term trend; a possible slight decrease in mean wind speed (\"wind stilling\" observed across Europe).", + "metadata": {} + }, + { + "cell_type": "code", + "id": "b45728c0", + "source": "eplots.plot_long_term_trends(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:19.407642920Z", + "start_time": "2026-05-25T22:41:19.213575832Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 88 + }, + { + "cell_type": "markdown", + "id": "ea77386c", + "source": "**M14 — Relative humidity**\n\nLeft: KDE distributions for minimum (`UN`), mean (`UM`), and maximum (`UX`) daily relative humidity across all stations. Right: seasonal boxplot of mean humidity (`UM`).\n\n**What to look for:** `UX` clusters near 100% (nights are almost always saturated at dew point); `UN` is more spread and often drops below 50% on dry sunny afternoons. Autumn and winter show systematically higher humidity than summer.", + "metadata": {} + }, + { + "cell_type": "code", + "id": "f6967259", + "source": "eplots.plot_humidity_overview(df)", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:19.493963917Z", + "start_time": "2026-05-25T22:41:19.424196808Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[plot_humidity_overview] No humidity columns (UN, UM, UX) found.\n" + ] + } + ], + "execution_count": 89 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "---\n\n## 6 — Pre-conclusion: patterns relevant to train delay modelling\n\nThis section focuses on patterns that are directly relevant to the TARDIS goal: **understanding which weather conditions are associated with train disruptions**.\n\nEach visualisation is framed as a question the model will need to answer.\n\n| Plot | Question |\n|------|---------|\n| **P1** | Which stations experience the most extreme heat — and are they on major rail corridors? |\n| **P2** | Is there a consistent Year × Month temperature pattern, or do anomalous years stand out? |\n| **P3** | How does monthly precipitation volume evolve over time? Are wet months becoming more extreme? |\n| **P4** | Does wind speed vary enough between seasons to explain seasonal delay patterns? |\n| **P5** | Which stations have the most complete records — and are they well-distributed geographically? |\n| **P6** | What are the baseline seasonal statistics (mean, median, std) for the three most delay-relevant variables? |", + "id": "1f9fc9017976b0f6" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**P1 — Top 10 stations by mean temperature**\n\nThe 10 stations with the highest average `TM` across all available years, shown as a horizontal bar chart coloured by temperature.\n\n**Why it matters:** high-temperature stations are the most exposed to rail buckling risk (tracks expand and can buckle above ~35 °C). Knowing which stations are chronically hot helps prioritise heat-related delay analysis.", + "id": "2f317d9501e09014" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:19.600399645Z", + "start_time": "2026-05-25T22:41:19.530628157Z" + } + }, + "source": "eplots.plot_top_stations_by_temperature(df, n=10)", + "id": "d8a1ed934719e7ba", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[plot_top_stations_by_temperature] NOM_USUEL or TM column missing.\n" + ] + } + ], + "execution_count": 90 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**P2 — Year × Month temperature heatmap**\n\nEach cell = mean temperature across all stations for that year–month pair. Rows are years, columns are months.\n\n**Why it matters:** this view simultaneously shows the seasonal cycle, interannual variability, and anomalous periods. A heatwave year stands out as a bright horizontal band in July/August. Cold winters show as dark blue bands in December–February. The model will need to capture both effects.", + "id": "7fbff30f4baf6035" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:19.667697935Z", + "start_time": "2026-05-25T22:41:19.605702387Z" + } + }, + "source": "eplots.plot_temperature_heatmap_year_month(df)", + "id": "98e573665cb5fee", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[plot_temperature_heatmap_year_month] Required columns missing.\n" + ] + } + ], + "execution_count": 91 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**P3 — Monthly total precipitation over time**\n\nTotal precipitation across all active stations per calendar month, shown as bars with a 12-month rolling mean overlay.\n\n**Why it matters:** extremely wet months are likely to be associated with increased flooding-related disruptions. The trend line reveals whether wet extremes are intensifying over time — a direct input to risk modelling.", + "id": "7f91ed7fcfa37dc2" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:20.346463739Z", + "start_time": "2026-05-25T22:41:19.669753278Z" + } + }, + "source": [ + "eplots.plot_monthly_precipitation_trend(df)" + ], + "id": "53ee51088c81490", + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 92 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**P4 — Wind speed by season (violin plot)**\n\nDistribution of daily mean wind speed (`FFM`) across the four seasons.\n\n**Why it matters:** winter winds are stronger (more synoptic depressions), while summer is calmer (anticyclonic). Storms are more frequent in winter, which is the season where speed restrictions and overhead-line damage are most common. The seasonal pattern here should align with seasonal delay patterns in the train dataset.", + "id": "b76902fb343b26e0" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:20.459628446Z", + "start_time": "2026-05-25T22:41:20.396406322Z" + } + }, + "source": [ + "eplots.plot_seasonal_wind(df)" + ], + "id": "bf57521f5e63bc47", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[plot_seasonal_wind] season or FFM column missing.\n" + ] + } + ], + "execution_count": 93 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**P5 — Station record coverage (top 20)**\n\nNumber of daily records per station for the 20 most complete stations.\n\n**Why it matters:** stations with very few records produce unreliable statistics. When joining the weather dataset to train delay data, stations with long and continuous records will produce the most reliable feature values. This chart shows which stations are the most \"useful\" sources.", + "id": "4b28704a1fe4da61" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:20.683605562Z", + "start_time": "2026-05-25T22:41:20.465808931Z" + } + }, + "source": [ + "eplots.plot_station_coverage(df)" + ], + "id": "fceb64bd1f51b7f4", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 94 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "**P6 — Seasonal statistics heatmap**\n\nA colour-encoded heatmap of mean, median, and standard deviation for temperature (`TM`), precipitation (`RR`), and wind speed (`FFM`) by season. This replaces the plain text table with a visual form that makes cross-season and cross-variable differences immediately apparent.", + "id": "839fc669459c12f7" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2026-05-25T22:41:20.895855959Z", + "start_time": "2026-05-25T22:41:20.685567866Z" + } + }, + "source": "eplots.plot_seasonal_stats_heatmap(df)", + "id": "4adaa18dac55208e", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 95 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "---\n\n## Key findings\n\n### What the data shows\n\n| Pattern | Detail |\n|---------|--------|\n| **Seasonal cycle** | The dominant signal in all variables. Temperature, precipitation frequency, and wind speed all follow a clear 12-month pattern. |\n| **Long-term warming** | Visible in the M7 anomaly chart and M13 trend panel — mean temperature has risen since the 1960s–1970s baseline. |\n| **Heavy precipitation events** | Right-skewed distribution (M3, M10). Most days are dry; extreme wet days are rare but impactful. |\n| **Structural sparsity** | Many sensor columns are present in only a subset of stations. Columns below 60% completeness were removed (section 2.1). |\n\n### What this means for train delay modelling\n\nThe cleaned meteorological dataset is ready to be joined to the train punctuality data (`cleaned_dataset.csv`) on a **date × geographic proximity** basis.\n\nThe weather features most likely to predict delays:\n\n| Feature | Mechanism |\n|---------|-----------|\n| `precip_category = heavy` | Track flooding, visibility reduction, signal failures |\n| `wind_category = storm` | Speed restrictions, overhead line damage |\n| `VERGLAS` (ice on ground) | Adhesion loss, switch failures |\n| `NEIG` / `NEIGETOTX` (snow) | Switch blockages, boarding delays |\n| `TX > 35 °C` | Rail buckling risk, mandatory speed restrictions |\n| `BROU` (fog) | Visibility reduction, approach speed limits |\n| `ORAG` (thunderstorm) | Signalling failures, passenger safety stops |", + "id": "336f351cabe56509" + } + ] +} From edaf83f30e92d3b0c07ea05c2260fd3095c7eff9 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:32 +0200 Subject: [PATCH 15/34] feat: add preprocessing functions for meteorological data quality management --- .../cleaning/meteo/cleaning/preprocessing.py | 107 ++++++++++++++++++ 1 file changed, 107 insertions(+) create mode 100644 scripts/cleaning/meteo/cleaning/preprocessing.py diff --git a/scripts/cleaning/meteo/cleaning/preprocessing.py b/scripts/cleaning/meteo/cleaning/preprocessing.py new file mode 100644 index 0000000..d472711 --- /dev/null +++ b/scripts/cleaning/meteo/cleaning/preprocessing.py @@ -0,0 +1,107 @@ +import pandas as pd + +CRITICAL_COLS = ["NUM_POSTE", "AAAAMMJJ", "NOM_USUEL"] + +# Columns that are never dropped by drop_sparse_columns, regardless of completeness. +# These are identifiers, coordinates, and derived time/season features that are +# structurally always present and always meaningful. +_PROTECTED_COLS: frozenset[str] = frozenset({ + "NUM_POSTE", "AAAAMMJJ", "NOM_USUEL", + "LAT", "LON", "ALTI", + "date", "year", "month", "season", +}) + + +def drop_sparse_columns( + df: pd.DataFrame, + threshold: float = 0.60, + protected: set[str] | None = None, +) -> tuple[pd.DataFrame, list[str]]: + """Drop columns where fewer than `threshold` fraction of values are non-null. + + Columns that are always structurally present (identifiers, coordinates, + date, and derived time/season features) are protected and never dropped. + + Parameters + ---------- + df : Input DataFrame. + threshold : Minimum non-null fraction required to keep a column (default 0.60). + protected : Override the default protected-column set. + + Returns + ------- + (cleaned_df, list_of_dropped_column_names) + """ + if protected is None: + protected = _PROTECTED_COLS + if len(df) == 0: + return df, [] + + completeness = df.notna().mean() + to_drop = [ + col for col in df.columns + if col not in protected and completeness[col] < threshold + ] + + if to_drop: + df = df.drop(columns=to_drop) + preview = ", ".join(to_drop[:6]) + ("…" if len(to_drop) > 6 else "") + print( + f"drop_sparse_columns: removed {len(to_drop)} column(s) " + f"(< {threshold:.0%} complete)\n" + f" Dropped: {preview}" + ) + else: + print(f"drop_sparse_columns: all columns ≥ {threshold:.0%} complete — nothing removed.") + + return df, to_drop + + +def invalidate_bad_quality(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + """Set observation values to NaN wherever the corresponding Q* flag == 0. + + Météo-France quality codes: + 0 → suspicious / wrong data + 1 → valid data + 9 → unchecked / missing quality info + """ + total_invalidated = 0 + for q_col in [c for c in df.columns if c.startswith("Q")]: + obs_col = q_col[1:] # strip leading "Q" + if obs_col not in df.columns: + continue + bad = df[q_col] == 0 + n = int(bad.sum()) + if n: + df.loc[bad, obs_col] = float("nan") + total_invalidated += n + + print(f"Quality invalidation: {total_invalidated:,} cell(s) set to NaN (Q=0 → suspicious)") + return df, total_invalidated + + +def drop_quality_columns(df: pd.DataFrame) -> tuple[pd.DataFrame, list[str]]: + """Drop all Météo-France quality-flag columns (names starting with Q).""" + q_cols = [c for c in df.columns if c.startswith("Q")] + df = df.drop(columns=q_cols) + print(f"Dropped {len(q_cols)} quality-flag column(s): {q_cols[:5]}{'…' if len(q_cols) > 5 else ''}") + print(f"Remaining: {df.shape[1]} columns") + return df, q_cols + + +def deduplicate(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + nb_dup = int(df.duplicated().sum()) + if nb_dup > 0: + df = df.drop_duplicates() + print(f"Removed {nb_dup} duplicate row(s).") + else: + print("No duplicates found.") + return df, nb_dup + + +def drop_critical_nan(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + before = len(df) + df = df.dropna(subset=[c for c in CRITICAL_COLS if c in df.columns]) + dropped = before - len(df) + print(f"drop_critical_nan: {dropped} row(s) removed (missing {CRITICAL_COLS})") + return df, dropped From a4343fbd65608d068a9f1e36afaf1232c7ff459e Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:39 +0200 Subject: [PATCH 16/34] feat: add label normalization function for meteorological data --- .../cleaning/meteo/cleaning/normalization.py | 38 +++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 scripts/cleaning/meteo/cleaning/normalization.py diff --git a/scripts/cleaning/meteo/cleaning/normalization.py b/scripts/cleaning/meteo/cleaning/normalization.py new file mode 100644 index 0000000..5e13030 --- /dev/null +++ b/scripts/cleaning/meteo/cleaning/normalization.py @@ -0,0 +1,38 @@ +import pandas as pd + +_LABEL_COLS = ["NOM_USUEL"] + + +def normalize_labels(df: pd.DataFrame, cols: list[str] | None = None) -> pd.DataFrame: + """Uppercase + strip station name labels, then store as 'category'. + + Using 'category' after normalization ensures: + - All ~1 500 unique station names are stored exactly once. + - Every row holds a cheap integer code instead of a repeated string. + - The dtype is consistent whether NOM_USUEL was originally object, string, + or already category (cast_string_columns runs before this step). + """ + if cols is None: + cols = _LABEL_COLS + + present = [c for c in cols if c in df.columns] + missing = [c for c in cols if c not in df.columns] + + if missing: + print(f"[normalize_labels] Missing columns skipped: {missing}") + + for col in present: + # Convert to plain str first (works regardless of object/string/category), + # normalize, then re-encode as category to keep the memory benefit. + df[col] = ( + df[col] + .astype(str) + .str.strip() + .str.upper() + .astype("category") + ) + + for col in present: + print(f"Unique {col}: {df[col].nunique()}") + + return df From 2a2ca1fd15e84081bbf8e9cbf18dd57ba12f2dbc Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:49 +0200 Subject: [PATCH 17/34] feat: add linear interpolation function for recovering missing weather data --- .../cleaning/meteo/cleaning/nan_recovery.py | 52 +++++++++++++++++++ 1 file changed, 52 insertions(+) create mode 100644 scripts/cleaning/meteo/cleaning/nan_recovery.py diff --git a/scripts/cleaning/meteo/cleaning/nan_recovery.py b/scripts/cleaning/meteo/cleaning/nan_recovery.py new file mode 100644 index 0000000..a0344b6 --- /dev/null +++ b/scripts/cleaning/meteo/cleaning/nan_recovery.py @@ -0,0 +1,52 @@ +import pandas as pd + +# Key continuous weather variables eligible for linear interpolation +_INTERPOLATE_COLS = [ + "RR", # precipitation (mm) + "TN", # min temperature (°C) + "TX", # max temperature (°C) + "TM", # mean temperature (°C) + "FFM", # mean wind speed (m/s) + "FF2M", # mean wind speed at 2 m (m/s) + "PMERM", # mean sea-level pressure (hPa) + "UN", # min relative humidity (%) + "UX", # max relative humidity (%) + "UM", # mean relative humidity (%) + "INST", # sunshine duration (h) + "GLOT", # global radiation (J/cm²) +] + +_INTERPOLATION_LIMIT = 3 # max consecutive missing days to fill + + +def recover_weather_interpolation( + df: pd.DataFrame, + cols: list[str] | None = None, + limit: int = _INTERPOLATION_LIMIT, +) -> tuple[pd.DataFrame, int]: + """Fill short NaN gaps within each station using linear interpolation. + + Only fills runs of up to `limit` consecutive missing values per station + (NUM_POSTE) sorted by date. Longer gaps and truly absent sensors remain NaN. + """ + if cols is None: + cols = _INTERPOLATE_COLS + + df = df.sort_values(["NUM_POSTE", "date"]).reset_index(drop=True) + total_recovered = 0 + + for col in cols: + if col not in df.columns: + continue + before = int(df[col].isna().sum()) + df[col] = df.groupby("NUM_POSTE")[col].transform( + lambda x: x.interpolate(method="linear", limit=limit, limit_direction="both") + ) + after = int(df[col].isna().sum()) + recovered = before - after + total_recovered += recovered + if recovered: + print(f" {col}: {recovered:,} NaN(s) recovered by interpolation") + + print(f"Total recovered by interpolation: {total_recovered:,} cell(s)") + return df, total_recovered From a21d62219679926de1b0db5f581269a1d26f3a2a Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:23:53 +0200 Subject: [PATCH 18/34] feat: add merge_meteo function for outer-merging meteorological data --- .../cleaning/meteo/merging/merging_meteo.py | 91 +++++++++++++++++++ 1 file changed, 91 insertions(+) create mode 100644 scripts/cleaning/meteo/merging/merging_meteo.py diff --git a/scripts/cleaning/meteo/merging/merging_meteo.py b/scripts/cleaning/meteo/merging/merging_meteo.py new file mode 100644 index 0000000..ed57116 --- /dev/null +++ b/scripts/cleaning/meteo/merging/merging_meteo.py @@ -0,0 +1,91 @@ +import gc + +import pandas as pd + +_JOIN_KEYS = ["NUM_POSTE", "AAAAMMJJ"] +_SHARED_META = ["NOM_USUEL", "LAT", "LON", "ALTI"] + + +# --------------------------------------------------------------------------- +# Internal helpers +# --------------------------------------------------------------------------- + +def _outer_merge( + vent_df: pd.DataFrame, param_slim: pd.DataFrame +) -> pd.DataFrame: + """Single outer-merge + cleanup of _param suffix duplicates.""" + df = pd.merge( + vent_df, + param_slim, + on=_JOIN_KEYS, + how="outer", + suffixes=("", "_param"), + ) + leftover = [c for c in df.columns if c.endswith("_param")] + if leftover: + df = df.drop(columns=leftover) + return df + + +# --------------------------------------------------------------------------- +# Public entry-point +# --------------------------------------------------------------------------- + +def merge_meteo( + vent_df: pd.DataFrame, + param_df: pd.DataFrame, + chunked: bool = True, +) -> pd.DataFrame: + """Outer-merge vent and autres-paramètres observations on station + date. + + Both files share metadata columns (NOM_USUEL, LAT, LON, ALTI) besides the + join keys. We keep the vent values for those shared columns and drop the + duplicate parameter versions. + + Parameters + ---------- + chunked : bool, default True + If True, the merge is performed year by year so the temporary structures + created by pd.merge are proportional to a single year of data rather + than the full dataset. Results are concatenated at the end. + Set to False to revert to the original single-pass merge. + """ + # Drop shared metadata from param to avoid _param duplicates in the result + param_slim = param_df.drop( + columns=[c for c in _SHARED_META if c in param_df.columns], + errors="ignore", + ) + + if not chunked: + df = _outer_merge(vent_df, param_slim) + + else: + # Derive year from AAAAMMJJ (integer YYYYMMDD) for both frames. + # Cast to int64 to avoid float32 precision loss (20231231 has 8 digits, + # float32 only holds 7 significant digits accurately). + vent_year = (vent_df["AAAAMMJJ"].dropna().astype("int64") // 10000) + param_year = (param_slim["AAAAMMJJ"].dropna().astype("int64") // 10000) + years = sorted(set(vent_year.unique()) | set(param_year.unique())) + + # Pre-compute per-row year for fast boolean indexing + vent_year_full = vent_df["AAAAMMJJ"].fillna(0).astype("int64") // 10000 + param_year_full = param_slim["AAAAMMJJ"].fillna(0).astype("int64") // 10000 + + chunks: list[pd.DataFrame] = [] + for year in years: + v = vent_df[vent_year_full == year] + p = param_slim[param_year_full == year] + if v.empty and p.empty: + continue + chunks.append(_outer_merge(v, p)) + print(f" year {year}: {len(v):,} vent + {len(p):,} param rows merged") + + df = pd.concat(chunks, ignore_index=True) + del chunks, vent_year_full, param_year_full + gc.collect() + + print( + f"merge_meteo : {len(vent_df):,} vent rows × {len(param_df):,} param rows" + f" → {len(df):,} merged rows, {df.shape[1]} columns" + ) + return df From 74ba432c67964298b7b38364f723d9a1469f2805 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:00 +0200 Subject: [PATCH 19/34] feat: add time and weather feature extraction functions for meteorological data --- scripts/cleaning/meteo/features.py | 70 ++++++++++++++++++++++++++++++ 1 file changed, 70 insertions(+) create mode 100644 scripts/cleaning/meteo/features.py diff --git a/scripts/cleaning/meteo/features.py b/scripts/cleaning/meteo/features.py new file mode 100644 index 0000000..376fcf8 --- /dev/null +++ b/scripts/cleaning/meteo/features.py @@ -0,0 +1,70 @@ +import pandas as pd + +_SEASON_MAP = { + 12: "winter", 1: "winter", 2: "winter", + 3: "spring", 4: "spring", 5: "spring", + 6: "summer", 7: "summer", 8: "summer", + 9: "autumn", 10: "autumn", 11: "autumn", +} + + +def add_time_features(df: pd.DataFrame) -> pd.DataFrame: + """Add year and month integer columns from the parsed date.""" + df["year"] = df["date"].dt.year + df["month"] = df["date"].dt.month + print(f'Years : {sorted(df["year"].unique().tolist())}') + print(f'Months : {sorted(df["month"].unique().tolist())}') + return df + + +def add_season(df: pd.DataFrame) -> pd.DataFrame: + df["season"] = df["month"].map(_SEASON_MAP) + print("Season distribution:") + print(df["season"].value_counts().to_string()) + return df + + +def add_temperature_amplitude(df: pd.DataFrame) -> pd.DataFrame: + """Diurnal temperature range TX - TN.""" + if "TX" in df.columns and "TN" in df.columns: + df["temp_amplitude"] = df["TX"] - df["TN"] + print( + f'temp_amplitude — min: {df["temp_amplitude"].min():.2f}' + f' mean: {df["temp_amplitude"].mean():.2f}' + f' max: {df["temp_amplitude"].max():.2f}' + ) + else: + print("[add_temperature_amplitude] TX or TN not found — skipped") + return df + + +def add_wind_category(df: pd.DataFrame) -> pd.DataFrame: + """Beaufort-inspired wind category from daily mean wind speed (FFM, m/s).""" + if "FFM" not in df.columns: + print("[add_wind_category] FFM not found — skipped") + return df + + df["wind_category"] = pd.cut( + df["FFM"], + bins=[float("-inf"), 0.5, 3.3, 7.9, 13.8, float("inf")], + labels=["calm", "light", "moderate", "strong", "storm"], + ) + print("Wind category distribution:") + print(df["wind_category"].value_counts().sort_index().to_string()) + return df + + +def add_precipitation_category(df: pd.DataFrame) -> pd.DataFrame: + """Daily precipitation category from RR (mm).""" + if "RR" not in df.columns: + print("[add_precipitation_category] RR not found — skipped") + return df + + df["precip_category"] = pd.cut( + df["RR"], + bins=[float("-inf"), 0.0, 2.0, 10.0, 30.0, float("inf")], + labels=["dry", "trace", "light", "moderate", "heavy"], + ) + print("Precipitation category distribution:") + print(df["precip_category"].value_counts().sort_index().to_string()) + return df From 0e6b294503601f1401b9016bbdcd69bad12d0c54 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:24 +0200 Subject: [PATCH 20/34] feat: add exploratory data analysis plots for meteorological data --- .../cleaning/meteo/visualization/eda_plots.py | 553 ++++++++++++++++++ 1 file changed, 553 insertions(+) create mode 100644 scripts/cleaning/meteo/visualization/eda_plots.py diff --git a/scripts/cleaning/meteo/visualization/eda_plots.py b/scripts/cleaning/meteo/visualization/eda_plots.py new file mode 100644 index 0000000..95e6d57 --- /dev/null +++ b/scripts/cleaning/meteo/visualization/eda_plots.py @@ -0,0 +1,553 @@ +import matplotlib.pyplot as plt +import matplotlib.ticker as mticker +import seaborn as sns +import pandas as pd +import numpy as np + +# ── Palette & style ────────────────────────────────────────────────────────── +_SEASON_ORDER = ["winter", "spring", "summer", "autumn"] +_SEASON_COLORS = {"winter": "#4575b4", "spring": "#74add1", + "summer": "#d73027", "autumn": "#fdae61"} +_MONTH_NAMES = ["Jan","Feb","Mar","Apr","May","Jun", + "Jul","Aug","Sep","Oct","Nov","Dec"] + +_HEATMAP_COLS = [ + "RR", "TN", "TX", "TM", "temp_amplitude", + "FFM", "FXY", "PMERM", "UN", "UX", "INST", "GLOT", +] + + +# ═══════════════════════════════════════════════════════════════════════════════ +# EXISTING PLOTS (kept intact, minor style polish) +# ═══════════════════════════════════════════════════════════════════════════════ + +def plot_temperature_distribution(df: pd.DataFrame) -> None: + """Histogram + KDE for TN, TM, TX.""" + cols = [c for c in ["TN", "TM", "TX"] if c in df.columns] + if not cols: + print("[plot_temperature_distribution] No temperature columns found.") + return + labels = {"TN": "Min temp (°C)", "TM": "Mean temp (°C)", "TX": "Max temp (°C)"} + colors = {"TN": "#4575b4", "TM": "#74add1", "TX": "#d73027"} + fig, axes = plt.subplots(1, len(cols), figsize=(6 * len(cols), 5)) + if len(cols) == 1: + axes = [axes] + for ax, col in zip(axes, cols): + sns.histplot(df[col].dropna(), kde=True, ax=ax, color=colors.get(col, "steelblue")) + ax.set_title(f"Distribution of {col}") + ax.set_xlabel(labels.get(col, col)) + plt.suptitle("Daily temperature distributions", fontsize=13, y=1.02) + plt.tight_layout() + plt.show() + + +def plot_seasonal_temperature(df: pd.DataFrame) -> None: + """Box + strip plot of mean temperature by season.""" + if "season" not in df.columns or "TM" not in df.columns: + print("[plot_seasonal_temperature] season or TM column missing.") + return + fig, ax = plt.subplots(figsize=(10, 6)) + sns.violinplot(x="season", y="TM", data=df, + order=_SEASON_ORDER, palette=_SEASON_COLORS, + inner="box", ax=ax) + ax.set_title("Mean temperature distribution by season") + ax.set_xlabel("Season") + ax.set_ylabel("Mean temperature (°C)") + plt.tight_layout() + plt.show() + + +def plot_precipitation_distribution(df: pd.DataFrame) -> None: + if "RR" not in df.columns: + print("[plot_precipitation_distribution] RR column missing.") + return + fig, axes = plt.subplots(1, 2, figsize=(14, 5)) + rr_nonzero = df.loc[df["RR"] > 0, "RR"].dropna() + sns.histplot(rr_nonzero, kde=True, ax=axes[0], log_scale=True, color="#4575b4") + axes[0].set_title("Precipitation (rainy days only, log scale)") + axes[0].set_xlabel("Precipitation (mm)") + + if "precip_category" in df.columns: + cat_order = ["dry", "trace", "light", "moderate", "heavy"] + cat_colors = ["#ffffcc","#a1dab4","#41b6c4","#2c7fb8","#253494"] + cat_counts = df["precip_category"].value_counts().reindex(cat_order).dropna() + axes[1].pie(cat_counts.values, labels=cat_counts.index, + autopct="%1.1f%%", colors=cat_colors, startangle=90) + axes[1].set_title("Precipitation category proportions") + else: + sns.boxplot(y=df["RR"].dropna(), ax=axes[1]) + axes[1].set_title("Precipitation spread and outliers") + plt.tight_layout() + plt.show() + + +def plot_wind_distribution(df: pd.DataFrame) -> None: + if "FFM" not in df.columns: + print("[plot_wind_distribution] FFM column missing.") + return + fig, axes = plt.subplots(1, 2, figsize=(14, 5)) + sns.histplot(df["FFM"].dropna(), kde=True, ax=axes[0], color="#1a9641") + axes[0].set_title("Mean wind speed distribution (FFM)") + axes[0].set_xlabel("Wind speed (m/s)") + + if "wind_category" in df.columns: + cat_order = ["calm","light","moderate","strong","storm"] + cat_colors = ["#ffffb2","#fecc5c","#fd8d3c","#f03b20","#bd0026"] + cat_counts = df["wind_category"].value_counts().reindex(cat_order).dropna() + bars = axes[1].bar(cat_counts.index, cat_counts.values, + color=cat_colors[:len(cat_counts)]) + for bar, val in zip(bars, cat_counts.values): + axes[1].text(bar.get_x() + bar.get_width()/2, + bar.get_height() + max(cat_counts)*0.01, + f"{val:,}", ha="center", fontsize=9) + axes[1].set_title("Wind category distribution") + axes[1].set_xlabel("Category") + axes[1].set_ylabel("Station-days") + plt.tight_layout() + plt.show() + + +def plot_monthly_temperature_trend(df: pd.DataFrame) -> None: + if "date" not in df.columns or "TM" not in df.columns: + print("[plot_monthly_temperature_trend] date or TM column missing.") + return + monthly = df.groupby(df["date"].dt.to_period("M"))["TM"].mean() + monthly.index = monthly.index.to_timestamp() + fig, ax = plt.subplots(figsize=(14, 5)) + ax.plot(monthly.index, monthly.values, alpha=0.4, color="#d73027", linewidth=0.8) + rolling = monthly.rolling(12, center=True).mean() + ax.plot(rolling.index, rolling.values, color="#d73027", linewidth=2, label="12-month rolling mean") + ax.axhline(monthly.mean(), color="black", linestyle="--", + label=f"Overall mean ({monthly.mean():.1f} °C)") + ax.set_title("Monthly mean temperature over time") + ax.set_xlabel("Date") + ax.set_ylabel("Mean temperature (°C)") + ax.legend() + plt.tight_layout() + plt.show() + + +def plot_monthly_precipitation_trend(df: pd.DataFrame) -> None: + if "date" not in df.columns or "RR" not in df.columns: + print("[plot_monthly_precipitation_trend] date or RR column missing.") + return + monthly = df.groupby(df["date"].dt.to_period("M"))["RR"].sum() + monthly.index = monthly.index.to_timestamp() + fig, ax = plt.subplots(figsize=(14, 5)) + ax.bar(monthly.index, monthly.values, width=20, color="#4575b4", alpha=0.7) + rolling = monthly.rolling(12, center=True).mean() + ax.plot(rolling.index, rolling.values, color="#253494", linewidth=2, label="12-month rolling mean") + ax.set_title("Monthly total precipitation over time") + ax.set_xlabel("Date") + ax.set_ylabel("Total precipitation (mm)") + ax.legend() + plt.tight_layout() + plt.show() + + +def plot_top_stations_by_temperature(df: pd.DataFrame, n: int = 10) -> None: + if "NOM_USUEL" not in df.columns or "TM" not in df.columns: + print("[plot_top_stations_by_temperature] NOM_USUEL or TM column missing.") + return + top = df.groupby("NOM_USUEL")["TM"].mean().sort_values(ascending=False).head(n) + fig, ax = plt.subplots(figsize=(10, 6)) + cmap = plt.cm.RdYlBu_r + norm = plt.Normalize(top.values.min(), top.values.max()) + colors = [cmap(norm(v)) for v in top.sort_values().values] + bars = top.sort_values().plot(kind="barh", ax=ax, color=colors) + for i, (name, val) in enumerate(top.sort_values().items()): + ax.text(val + 0.05, i, f"{val:.1f} °C", va="center", fontsize=9) + ax.set_title(f"Top {n} stations by mean temperature") + ax.set_xlabel("Mean temperature (°C)") + plt.tight_layout() + plt.show() + + +def plot_correlation_matrix(df: pd.DataFrame) -> None: + cols = [c for c in _HEATMAP_COLS if c in df.columns] + if not cols: + print("[plot_correlation_matrix] No relevant numeric columns found.") + return + corr = df[cols].corr() + mask = np.triu(np.ones_like(corr, dtype=bool), k=1) # upper triangle only + fig, ax = plt.subplots(figsize=(13, 9)) + sns.heatmap(corr, annot=True, fmt=".2f", cmap="coolwarm", + vmin=-1, vmax=1, ax=ax, linewidths=0.5, + annot_kws={"size": 9}) + ax.set_title("Correlation matrix — key meteorological features") + plt.tight_layout() + plt.show() + + +def plot_temperature_heatmap_year_month(df: pd.DataFrame) -> None: + if "year" not in df.columns or "month" not in df.columns or "TM" not in df.columns: + print("[plot_temperature_heatmap_year_month] Required columns missing.") + return + pivot = df.pivot_table(values="TM", index="year", columns="month", aggfunc="mean") + pivot.columns = [_MONTH_NAMES[c - 1] for c in pivot.columns] + fig, ax = plt.subplots(figsize=(14, max(6, len(pivot) * 0.35))) + sns.heatmap(pivot, annot=False, cmap="RdYlBu_r", ax=ax, + linewidths=0, cbar_kws={"label": "Mean temperature (°C)"}) + ax.set_title("Mean temperature (°C) — Year × Month") + ax.set_xlabel("Month") + ax.set_ylabel("Year") + plt.tight_layout() + plt.show() + + +def plot_seasonal_wind(df: pd.DataFrame) -> None: + if "season" not in df.columns or "FFM" not in df.columns: + print("[plot_seasonal_wind] season or FFM column missing.") + return + fig, ax = plt.subplots(figsize=(10, 6)) + sns.violinplot(x="season", y="FFM", data=df, + order=_SEASON_ORDER, palette=_SEASON_COLORS, + inner="box", ax=ax) + ax.set_title("Mean wind speed by season") + ax.set_xlabel("Season") + ax.set_ylabel("Wind speed (m/s)") + plt.tight_layout() + plt.show() + + +def plot_station_coverage(df: pd.DataFrame) -> None: + if "NOM_USUEL" not in df.columns: + print("[plot_station_coverage] NOM_USUEL column missing.") + return + counts = df["NOM_USUEL"].value_counts().head(20) + fig, ax = plt.subplots(figsize=(12, 6)) + bars = counts.sort_values().plot(kind="barh", ax=ax, color="#2c7fb8") + for i, v in enumerate(counts.sort_values().values): + ax.text(v + counts.max() * 0.005, i, f"{v:,}", va="center", fontsize=8) + ax.set_title("Top 20 stations by record count") + ax.set_xlabel("Number of daily records") + plt.tight_layout() + plt.show() + + +# ═══════════════════════════════════════════════════════════════════════════════ +# NEW PLOTS +# ═══════════════════════════════════════════════════════════════════════════════ + +def plot_temperature_anomaly( + df: pd.DataFrame, + baseline_start: int = 1961, + baseline_end: int = 1990, +) -> None: + """Annual temperature anomaly vs climatological baseline (bar chart + rolling mean).""" + if "year" not in df.columns or "TM" not in df.columns: + print("[plot_temperature_anomaly] year or TM column missing.") + return + + annual = df.groupby("year")["TM"].mean() + mask = (annual.index >= baseline_start) & (annual.index <= baseline_end) + baseline = annual[mask].mean() if mask.any() else annual.mean() + anomaly = annual - baseline + + colors = ["#d73027" if v >= 0 else "#4575b4" for v in anomaly.values] + rolling = anomaly.rolling(10, center=True).mean() + + fig, ax = plt.subplots(figsize=(14, 5)) + ax.bar(anomaly.index, anomaly.values, color=colors, width=0.8, alpha=0.85) + ax.plot(rolling.index, rolling.values, color="black", linewidth=2, + label="10-yr rolling mean") + ax.axhline(0, color="black", linewidth=0.8) + ax.fill_between(rolling.index, rolling.values, 0, + where=rolling.values >= 0, alpha=0.15, color="#d73027") + ax.fill_between(rolling.index, rolling.values, 0, + where=rolling.values < 0, alpha=0.15, color="#4575b4") + ax.set_title(f"Annual temperature anomaly (baseline {baseline_start}–{baseline_end}," + f" ref = {baseline:.2f} °C)", fontsize=12) + ax.set_xlabel("Year") + ax.set_ylabel("Anomaly (°C)") + ax.legend() + ax.yaxis.set_major_formatter(mticker.FormatStrFormatter("%+.1f")) + plt.tight_layout() + plt.show() + + +def plot_station_map(df: pd.DataFrame) -> None: + """Scatter map of stations (LON × LAT), coloured by mean temperature.""" + needed = {"LAT", "LON", "NOM_USUEL", "TM"} + if not needed.issubset(df.columns): + print("[plot_station_map] LAT, LON, NOM_USUEL or TM column missing.") + return + + agg = {"LAT": ("LAT", "first"), "LON": ("LON", "first"), + "mean_TM": ("TM", "mean"), "n_records": ("TM", "count")} + if "ALTI" in df.columns: + agg["ALTI"] = ("ALTI", "first") + stats = df.groupby("NOM_USUEL").agg(**agg).reset_index() + + fig, ax = plt.subplots(figsize=(12, 10)) + sc = ax.scatter( + stats["LON"], stats["LAT"], + c=stats["mean_TM"], cmap="RdYlBu_r", + s=stats["n_records"].clip(upper=stats["n_records"].quantile(0.95)) / 200, + alpha=0.75, edgecolors="grey", linewidths=0.3, + ) + cb = plt.colorbar(sc, ax=ax, pad=0.02) + cb.set_label("Mean temperature (°C)") + ax.set_xlabel("Longitude") + ax.set_ylabel("Latitude") + ax.set_title(f"Station network — {len(stats):,} stations (dot size ∝ record count)") + ax.grid(True, alpha=0.3) + plt.tight_layout() + plt.show() + + +def plot_weather_events_by_month(df: pd.DataFrame) -> None: + """Monthly frequency of binary weather phenomena: snow, storm, fog, frost, ice.""" + event_cols = { + "NEIG": "Snow", + "ORAG": "Thunderstorm", + "BROU": "Fog", + "GELEE": "Frost", + "VERGLAS": "Ice on ground", + } + present = {k: v for k, v in event_cols.items() if k in df.columns} + if not present or "month" not in df.columns: + print("[plot_weather_events_by_month] No binary event columns or month missing.") + return + + monthly = pd.DataFrame({ + label: df[col].fillna(0).astype(bool).groupby(df["month"]).sum() + for col, label in present.items() + }) + monthly.index = _MONTH_NAMES + + fig, ax = plt.subplots(figsize=(14, 6)) + monthly.plot(kind="bar", ax=ax, width=0.75, + color=["#4575b4","#d73027","#74add1","#313695","#fee090"]) + ax.set_title("Weather phenomena frequency by month") + ax.set_xlabel("Month") + ax.set_ylabel("Station-days with event") + ax.legend(title="Phenomenon", bbox_to_anchor=(1.01, 1), loc="upper left") + ax.tick_params(axis="x", rotation=0) + plt.tight_layout() + plt.show() + + +def plot_seasonal_precipitation(df: pd.DataFrame) -> None: + """Violin (log) + % rainy days per season.""" + if "season" not in df.columns or "RR" not in df.columns: + print("[plot_seasonal_precipitation] season or RR column missing.") + return + + fig, axes = plt.subplots(1, 2, figsize=(14, 6)) + + rainy = df[df["RR"] > 0].copy() + sns.violinplot(x="season", y="RR", data=rainy, order=_SEASON_ORDER, + palette=_SEASON_COLORS, inner="box", ax=axes[0]) + axes[0].set_yscale("log") + axes[0].set_title("Precipitation distribution (rainy days, log scale)") + axes[0].set_xlabel("Season") + axes[0].set_ylabel("Daily precipitation (mm)") + + pct = ( + df.groupby("season")["RR"] + .apply(lambda s: (s > 0).mean() * 100, include_groups=False) + .reindex(_SEASON_ORDER) + ) + bars = axes[1].bar(_SEASON_ORDER, pct.values, + color=[_SEASON_COLORS[s] for s in _SEASON_ORDER]) + for bar, val in zip(bars, pct.values): + axes[1].text(bar.get_x() + bar.get_width() / 2, + bar.get_height() + 0.3, f"{val:.1f}%", + ha="center", fontsize=10) + axes[1].set_title("Percentage of rainy days by season") + axes[1].set_xlabel("Season") + axes[1].set_ylabel("% of station-days with RR > 0") + axes[1].set_ylim(0, pct.max() * 1.15) + + plt.tight_layout() + plt.show() + + +def plot_sunshine_overview(df: pd.DataFrame) -> None: + """Sunshine hours: histogram + monthly boxplot.""" + if "INST" not in df.columns: + print("[plot_sunshine_overview] INST (sunshine hours) column missing.") + return + + fig, axes = plt.subplots(1, 2, figsize=(14, 5)) + + sns.histplot(df["INST"].dropna(), kde=True, bins=50, + color="#fdae61", ax=axes[0]) + axes[0].set_title("Daily sunshine duration distribution") + axes[0].set_xlabel("Sunshine hours (h)") + + if "month" in df.columns: + df_plot = df[["month", "INST"]].dropna().copy() + df_plot["month_name"] = df_plot["month"].map( + dict(enumerate(_MONTH_NAMES, 1)) + ) + sns.boxplot(x="month_name", y="INST", data=df_plot, + order=_MONTH_NAMES, showfliers=False, + palette="YlOrRd", ax=axes[1]) + axes[1].set_title("Sunshine hours by month") + axes[1].set_xlabel("Month") + axes[1].set_ylabel("Sunshine hours (h)") + axes[1].tick_params(axis="x", rotation=45) + + plt.suptitle("Sunshine (INST) overview", fontsize=13, y=1.02) + plt.tight_layout() + plt.show() + + +def plot_temp_precip_scatter(df: pd.DataFrame, sample_n: int = 50_000) -> None: + """Scatter of TM vs RR (rainy days) coloured by season.""" + needed = {"TM", "RR", "season"} + if not needed.issubset(df.columns): + print("[plot_temp_precip_scatter] TM, RR, or season column missing.") + return + + data = df[list(needed)].dropna() + data = data[data["RR"] > 0] + if len(data) > sample_n: + data = data.sample(sample_n, random_state=42) + + fig, ax = plt.subplots(figsize=(10, 7)) + for season in _SEASON_ORDER: + grp = data[data["season"] == season] + ax.scatter(grp["TM"], grp["RR"], + c=_SEASON_COLORS[season], label=season, + alpha=0.25, s=7, rasterized=True) + ax.set_yscale("log") + ax.set_xlabel("Mean temperature (°C)") + ax.set_ylabel("Daily precipitation (mm, log scale)") + ax.set_title("Temperature vs precipitation on rainy days") + ax.legend(title="Season", markerscale=4) + plt.tight_layout() + plt.show() + + +def plot_long_term_trends(df: pd.DataFrame) -> None: + """3-panel annual trend chart: temperature, precipitation, wind speed.""" + if "year" not in df.columns: + print("[plot_long_term_trends] year column missing.") + return + + panels = [ + ("TM", "mean", "Annual mean temperature (°C)", "#d73027"), + ("RR", "sum", "Annual total precipitation (mm)", "#4575b4"), + ("FFM", "mean", "Annual mean wind speed (m/s)", "#1a9641"), + ] + panels = [(c, a, l, col) for c, a, l, col in panels if c in df.columns] + if not panels: + return + + fig, axes = plt.subplots(len(panels), 1, figsize=(14, 4 * len(panels)), sharex=True) + if len(panels) == 1: + axes = [axes] + + for ax, (col, agg, label, color) in zip(axes, panels): + annual = df.groupby("year")[col].agg(agg) + ax.plot(annual.index, annual.values, color=color, alpha=0.5, linewidth=1) + rolling = annual.rolling(10, center=True).mean() + ax.plot(rolling.index, rolling.values, color=color, + linewidth=2.5, label="10-yr rolling mean") + + valid = annual.dropna() + if len(valid) > 15: + z = np.polyfit(valid.index.astype(float), valid.values, 1) + ax.plot(valid.index, np.polyval(z, valid.index.astype(float)), + "--", color="black", linewidth=1.2, + label=f"Trend ({z[0]:+.3f} per yr)") + + ax.set_ylabel(label) + ax.legend(loc="upper left", fontsize=9) + ax.grid(True, alpha=0.25) + + axes[-1].set_xlabel("Year") + fig.suptitle("Long-term meteorological trends (annual aggregates)", fontsize=13) + plt.tight_layout() + plt.show() + + +def plot_seasonal_stats_heatmap(df: pd.DataFrame) -> None: + """Heatmap of seasonal statistics for TM, RR, FFM — replaces the text table.""" + cols_avail = [c for c in ["TM", "RR", "FFM"] if c in df.columns] + if "season" not in df.columns or not cols_avail: + print("[plot_seasonal_stats_heatmap] season or metric columns missing.") + return + + rows = [] + for col in cols_avail: + agg = df.groupby("season")[col].agg(["mean", "median", "std"]) + agg.columns = [f"{col} mean", f"{col} median", f"{col} std"] + rows.append(agg.reindex(_SEASON_ORDER)) + + stats = pd.concat(rows, axis=1).round(2) + + fig, axes = plt.subplots(1, len(cols_avail), figsize=(5 * len(cols_avail), 5)) + if len(cols_avail) == 1: + axes = [axes] + + units = {"TM": "°C", "RR": "mm", "FFM": "m/s"} + cmaps = {"TM": "RdYlBu_r", "RR": "Blues", "FFM": "Greens"} + + for ax, col in zip(axes, cols_avail): + sub = stats[[c for c in stats.columns if c.startswith(col)]] + sub.columns = ["mean", "median", "std"] + sns.heatmap(sub, annot=True, fmt=".1f", cmap=cmaps.get(col, "viridis"), + ax=ax, cbar_kws={"label": units.get(col, "")}, + linewidths=0.5) + ax.set_title(f"{col} ({units.get(col, '')})") + ax.set_xlabel("") + + fig.suptitle("Seasonal statistics — mean, median, std", fontsize=13, y=1.02) + plt.tight_layout() + plt.show() + + +def plot_humidity_overview(df: pd.DataFrame) -> None: + """Humidity (UN, UM, UX) distribution + seasonal pattern.""" + hum_cols = [c for c in ["UN", "UM", "UX"] if c in df.columns] + if not hum_cols: + print("[plot_humidity_overview] No humidity columns (UN, UM, UX) found.") + return + + fig, axes = plt.subplots(1, 2, figsize=(14, 5)) + + for col in hum_cols: + sns.kdeplot(df[col].dropna(), ax=axes[0], label=col, fill=True, alpha=0.3) + axes[0].set_title("Relative humidity distribution") + axes[0].set_xlabel("Humidity (%)") + axes[0].legend() + + if "season" in df.columns and "UM" in df.columns: + sns.boxplot(x="season", y="UM", data=df, order=_SEASON_ORDER, + palette=_SEASON_COLORS, ax=axes[1], showfliers=False) + axes[1].set_title("Mean relative humidity by season") + axes[1].set_xlabel("Season") + axes[1].set_ylabel("Mean humidity (%)") + + plt.suptitle("Humidity overview", fontsize=13, y=1.02) + plt.tight_layout() + plt.show() + + +# ── Convenience wrapper ─────────────────────────────────────────────────────── + +def run_all_eda(df: pd.DataFrame) -> None: + plot_temperature_distribution(df) + plot_seasonal_temperature(df) + plot_precipitation_distribution(df) + plot_wind_distribution(df) + plot_monthly_temperature_trend(df) + plot_monthly_precipitation_trend(df) + plot_correlation_matrix(df) + plot_temperature_heatmap_year_month(df) + plot_seasonal_wind(df) + plot_station_coverage(df) + # New plots + plot_temperature_anomaly(df) + plot_station_map(df) + plot_weather_events_by_month(df) + plot_seasonal_precipitation(df) + plot_sunshine_overview(df) + plot_temp_precip_scatter(df) + plot_long_term_trends(df) + plot_seasonal_stats_heatmap(df) + plot_humidity_overview(df) From 95a8ddf3888aee5315f4c4733ce768dd0e794dcb Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:33 +0200 Subject: [PATCH 21/34] feat: add functions to correct negative values and enforce humidity bounds in meteorological data --- .../cleaning/meteo/cleaning/corrections.py | 68 +++++++++++++++++++ 1 file changed, 68 insertions(+) create mode 100644 scripts/cleaning/meteo/cleaning/corrections.py diff --git a/scripts/cleaning/meteo/cleaning/corrections.py b/scripts/cleaning/meteo/cleaning/corrections.py new file mode 100644 index 0000000..78f23d4 --- /dev/null +++ b/scripts/cleaning/meteo/cleaning/corrections.py @@ -0,0 +1,68 @@ +import pandas as pd + +# Physically non-negative quantities (precipitation, wind speed) +_NON_NEGATIVE_COLS = [ + "RR", # precipitation (mm) + "FFM", # mean wind speed (m/s) + "FF2M", # mean wind speed 2 m (m/s) + "FXY", # max wind gust (m/s) + "FXI", # max instantaneous wind (m/s) + "FXI2", # max instantaneous wind 2 m (m/s) + "FXI3S", # max 3-second gust (m/s) + "INST", # sunshine duration (h) + "GLOT", # global radiation (J/cm²) + "DIFT", # diffuse radiation (J/cm²) + "DIRT", # direct radiation (J/cm²) + "INFRART",# infrared radiation (J/cm²) +] + +# Humidity is constrained to [0, 100] +_HUMIDITY_COLS = ["UN", "UX", "UM"] + + +def fix_negative_values(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + """Set physically impossible negative values to NaN.""" + total_fixed = 0 + for col in _NON_NEGATIVE_COLS: + if col not in df.columns: + continue + mask = df[col].notna() & (df[col] < 0) + n = int(mask.sum()) + if n: + df.loc[mask, col] = float("nan") + total_fixed += n + print(f"[FIXED] {col}: {n} negative value(s) → NaN") + + print(f"Total: {total_fixed} fix(es) — negative impossible values removed") + return df, total_fixed + + +def fix_humidity_bounds(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + """Clip humidity values outside [0, 100] to NaN.""" + total_fixed = 0 + for col in _HUMIDITY_COLS: + if col not in df.columns: + continue + mask = df[col].notna() & ((df[col] < 0) | (df[col] > 100)) + n = int(mask.sum()) + if n: + df.loc[mask, col] = float("nan") + total_fixed += n + print(f"[FIXED] {col}: {n} out-of-range value(s) → NaN") + + print(f"Total: {total_fixed} fix(es) — humidity out-of-range values removed") + return df, total_fixed + + +def fix_temperature_consistency(df: pd.DataFrame) -> tuple[pd.DataFrame, int]: + """Set TN to NaN when TN > TX (min temperature cannot exceed max temperature).""" + if "TN" not in df.columns or "TX" not in df.columns: + return df, 0 + mask = df["TN"].notna() & df["TX"].notna() & (df["TN"] > df["TX"]) + n = int(mask.sum()) + if n: + df.loc[mask, "TN"] = float("nan") + print(f"[FIXED] TN > TX: {n} row(s) — TN set to NaN") + else: + print("Temperature consistency OK (TN ≤ TX everywhere)") + return df, n From 6330f80e10899048e5fd86e37ae41a774ab46931 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:42 +0200 Subject: [PATCH 22/34] feat: add plotting functions for data cleaning and quality assessment in meteorological data --- .../meteo/visualization/cleaning_plots.py | 156 ++++++++++++++++++ 1 file changed, 156 insertions(+) create mode 100644 scripts/cleaning/meteo/visualization/cleaning_plots.py diff --git a/scripts/cleaning/meteo/visualization/cleaning_plots.py b/scripts/cleaning/meteo/visualization/cleaning_plots.py new file mode 100644 index 0000000..1bd8faa --- /dev/null +++ b/scripts/cleaning/meteo/visualization/cleaning_plots.py @@ -0,0 +1,156 @@ +import matplotlib.pyplot as plt +import pandas as pd + + +def plot_null_overview( + df: pd.DataFrame, initial_null_total: int, nb_rows: int, nb_slots: int +) -> None: + perfect_rows = df.dropna().shape[0] + nan_per_col = df.isnull().sum() + nan_per_col = nan_per_col[nan_per_col > 0].sort_values() + + fig, axes = plt.subplots(1, 3, figsize=(25, 6)) + + axes[0].pie( + [initial_null_total, nb_slots - initial_null_total], + labels=["Null", "Healthy slots"], + autopct="%1.1f%%", + ) + axes[0].set_title("NaN global (meteo)") + + axes[1].pie( + [perfect_rows, nb_rows - perfect_rows], + labels=["Perfect rows", "Rows with NaN"], + autopct="%1.1f%%", + ) + axes[1].set_title("Perfect rows") + + nan_per_col.plot(kind="barh", ax=axes[2]) + axes[2].set_title("NaN per column") + + plt.tight_layout() + plt.show() + + +def plot_current_nan(df: pd.DataFrame) -> None: + nan_counts = df.isnull().sum() + nan_counts = nan_counts[nan_counts > 0].sort_values() + if nan_counts.empty: + print("No NaN values remaining.") + return + nan_counts.plot(kind="barh", figsize=(10, max(6, len(nan_counts) * 0.3))) + plt.title("NaN counts per column (after cleaning)") + plt.tight_layout() + plt.show() + + +def plot_dedup(nb_dup: int, nb_rows: int) -> None: + plt.pie( + [nb_dup, nb_rows - nb_dup], + labels=["Duplicated", "Unique"], + autopct="%1.1f%%", + ) + plt.title("Duplicate rows — meteorological data") + plt.tight_layout() + plt.show() + + +def plot_critical_nan_drop(useful: int, unrecoverable: int) -> None: + plt.pie( + [useful, unrecoverable], + labels=["Useful", "Unrecoverable"], + autopct="%1.1f%%", + ) + plt.title("Rows kept after critical NaN drop") + plt.tight_layout() + plt.show() + + +def plot_quality_invalidation(n_invalidated: int, total_cells: int) -> None: + valid = total_cells - n_invalidated + fig, ax = plt.subplots(figsize=(7, 7)) + ax.pie( + [n_invalidated, valid], + labels=["Invalidated (Q=0)", "Valid"], + autopct="%1.2f%%", + ) + ax.set_title("Cells invalidated by Météo-France quality flags") + plt.tight_layout() + plt.show() + + +def plot_interpolation_recovery(total_recovered: int, null_post_recovery: int) -> None: + fig, ax = plt.subplots(figsize=(7, 7)) + ax.pie( + [total_recovered, null_post_recovery], + labels=["Recovered (interpolation)", "Still null (intentional)"], + autopct="%1.1f%%", + ) + ax.set_title("NaN recovery — linear interpolation within station") + plt.tight_layout() + plt.show() + + +def plot_retention_funnel( + steps: list[tuple[str, int]], original_rows: int +) -> None: + step_names = [s[0] for s in steps][::-1] + step_counts = [s[1] for s in steps][::-1] + fig, ax = plt.subplots(figsize=(10, 4)) + bars = ax.barh(step_names, step_counts) + for bar, count in zip(bars, step_counts): + pct = count / original_rows + ax.text( + bar.get_width() + 30, + bar.get_y() + bar.get_height() / 2, + f"{pct:.1%}", + va="center", + ) + ax.set_xlabel("Number of rows") + ax.set_title("Row retention funnel across meteo cleaning pipeline") + plt.tight_layout() + plt.show() + + +def plot_corrections(neg_fixed: int, hum_fixed: int, temp_fixed: int) -> None: + labels = ["Negative values", "Humidity out-of-range", "TN > TX"] + values = [neg_fixed, hum_fixed, temp_fixed] + fig, ax = plt.subplots(figsize=(8, 5)) + bars = ax.bar(labels, values, color=["steelblue", "coral", "gold"]) + for bar, val in zip(bars, values): + ax.text( + bar.get_x() + bar.get_width() / 2, bar.get_height() + 1, str(val), ha="center" + ) + ax.set_ylabel("Number of corrections") + ax.set_title("Impossible values corrected per type (meteo)") + plt.tight_layout() + plt.show() + + +def plot_outlier_rates(outlier_rows: list[tuple[str, int, float]]) -> None: + filtered = [(col, rate) for col, _n, rate in outlier_rows if rate > 0] + if not filtered: + return + cols_labels = [c for c, _r in filtered] + rates = [r for _c, r in filtered] + fig, ax = plt.subplots(figsize=(10, max(6, len(filtered) * 0.4))) + ax.barh(cols_labels, rates) + ax.axvline(0.05, color="red", linestyle="--", label="5% threshold") + ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _: f"{x:.0%}")) + ax.set_title("Outlier rate per column (|z-score| > 3)") + ax.legend() + plt.tight_layout() + plt.show() + + +def plot_validity_checks(checks: dict[str, int]) -> None: + names = list(checks.keys()) + vals = list(checks.values()) + colors = ["green" if v == 1 else "red" for v in vals] + fig, ax = plt.subplots(figsize=(10, max(5, len(names) * 0.5))) + ax.barh(names, vals, color=colors) + ax.set_xticks([0, 1]) + ax.set_xticklabels(["FAIL", "PASS"]) + ax.set_title("Validity checks — meteo pipeline invariants") + plt.tight_layout() + plt.show() From 99b2c34e1ac7b3a59df5a4914d383ef162369e5c Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:48 +0200 Subject: [PATCH 23/34] fix: update import statement for cleaning package in Jupyter notebook --- tardis_eda.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tardis_eda.ipynb b/tardis_eda.ipynb index c587efd..fa74451 100644 --- a/tardis_eda.ipynb +++ b/tardis_eda.ipynb @@ -122,7 +122,7 @@ }, "cell_type": "code", "source": [ - "from scripts import cleaning as pkg\n", + "from scripts.cleaning import trains as pkg\n", "audit = pkg.audit\n", "cleaning = pkg.cleaning\n", "features = pkg.features\n", @@ -3519,4 +3519,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +} From a0621bf15edc19f6b704dee92e94f1ae32880365 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:52 +0200 Subject: [PATCH 24/34] feat: implement streaming cleaning pipeline for meteorological data processing --- scripts/cleaning/meteo/pipeline.py | 234 +++++++++++++++++++++++++++-- 1 file changed, 219 insertions(+), 15 deletions(-) diff --git a/scripts/cleaning/meteo/pipeline.py b/scripts/cleaning/meteo/pipeline.py index 6ab389e..c82c834 100644 --- a/scripts/cleaning/meteo/pipeline.py +++ b/scripts/cleaning/meteo/pipeline.py @@ -1,21 +1,225 @@ -from . import loading +"""Streaming météo cleaning pipeline. + +Memory model +------------ +Instead of loading the full ~155 M-row dataset at once, the pipeline +processes one département at a time (≤ ~700 K rows each for the largest +files) and streams cleaned rows directly to the output CSV. + +Peak RAM per iteration: + vent_df (one dept, Q cols not yet dropped) : ~50–200 MB + param_df (one dept, Q cols not yet dropped) : ~30–120 MB + merged_df (Q cols dropped before merge) : ~30–150 MB + ──────────────────────────────────────────────────────── + Total peak : < 500 MB + +Comparison with the all-at-once approach (float32): + vent_all + param_all + merged : ~70 GB → crash +""" + +import gc +import os + +from . import cleaning, features, loading, merging + class Pipeline: - def __init__(self, - data_vent_path : str, - data_parameter_path : str, - output_path: str = "../../../data/processed/trains/cleaned_meteo_dataset.csv", - report_path: str = "../../../data/processed/audit/cleaning_meteo_report.csv", - ): + def __init__( + self, + data_vent_path: str, + data_parameter_path: str, + output_path: str = "../../../data/processed/meteo/cleaned_meteo_dataset.csv", + report_path: str = "../../../data/processed/audit/cleaning_meteo_report.csv", + ): self.data_vent_path = data_vent_path self.data_parameter_path = data_parameter_path self.output_path = output_path self.report_path = report_path - - self.df = None - self.original = None - - def run(self): - - def _load(self): - self.df, self.original = loading.load_meteo(self.data_vent_path, self.data_parameter_path) \ No newline at end of file + + # ------------------------------------------------------------------ # + # Public entry-point # + # ------------------------------------------------------------------ # + + def run(self) -> dict: + """Stream-clean all départements and write to a single output CSV. + + Returns a summary dict with aggregate counters. + """ + os.makedirs(os.path.dirname(os.path.abspath(self.output_path)), exist_ok=True) + + dept_groups = loading.group_by_dept( + self.data_vent_path, self.data_parameter_path + ) + n_depts = len(dept_groups) + print(f"Found {n_depts} département(s) to process.\n") + + # Aggregate counters + total_input_rows = 0 + total_output_rows = 0 + total_invalidated = 0 + total_duplicates = 0 + total_crit_dropped = 0 + total_recovered = 0 + first_write = True + + for i, (dept, (vent_paths, param_paths)) in enumerate(dept_groups.items(), 1): + print(f"[{i:>3}/{n_depts}] Département {dept} ─────────────────────") + + result = self._process_dept(vent_paths, param_paths) + if result is None: + print(f" → skipped (no data)\n") + continue + + df, stats = result + total_input_rows += stats["input_rows"] + total_invalidated += stats["invalidated"] + total_duplicates += stats["duplicates"] + total_crit_dropped += stats["crit_dropped"] + total_recovered += stats["recovered"] + total_output_rows += len(df) + + # Append to output CSV (header only on first write) + df.to_csv( + self.output_path, + mode="w" if first_write else "a", + header=first_write, + index=False, + ) + first_write = False + + print( + f" → {stats['input_rows']:>8,} input rows" + f" | {len(df):>8,} output rows" + f" | {stats['recovered']:,} interpolated\n" + ) + del df, result + gc.collect() + + summary = { + "total_input_rows": total_input_rows, + "total_output_rows": total_output_rows, + "total_invalidated_cells": total_invalidated, + "total_duplicates_removed": total_duplicates, + "total_critical_nan_removed": total_crit_dropped, + "total_cells_recovered": total_recovered, + "row_retention_rate": round(total_output_rows / max(total_input_rows, 1), 4), + "output_path": self.output_path, + } + + self._print_summary(summary) + self._write_report(summary) + return summary + + # ------------------------------------------------------------------ # + # Per-département processing # + # ------------------------------------------------------------------ # + + def _process_dept( + self, + vent_paths: list[str], + param_paths: list[str], + ) -> tuple | None: + """Full clean + engineer cycle for one département. + + Returns (cleaned_df, stats_dict) or None if no data. + Key memory trick: Q columns are invalidated and dropped on each + source frame BEFORE the merge — this halves the column count (and + thus RAM) that enters pd.merge. + """ + stats = { + "input_rows": 0, + "invalidated": 0, + "duplicates": 0, + "crit_dropped": 0, + "recovered": 0, + } + + # ── 1. Load vent ────────────────────────────────────────────── + vent_df = loading.load_files(vent_paths, is_vent=True) + if vent_df.empty: + # Try to continue with param only if available + if not param_paths: + return None + else: + stats["input_rows"] += len(vent_df) + # Pre-clean: invalidate Q flags and drop Q cols BEFORE merge + vent_df, n_inv = cleaning.invalidate_bad_quality(vent_df) + stats["invalidated"] += n_inv + vent_df, _ = cleaning.drop_quality_columns(vent_df) + + # ── 2. Load param ───────────────────────────────────────────── + param_df = loading.load_files(param_paths, is_vent=False) + if not param_df.empty: + stats["input_rows"] += len(param_df) + param_df, n_inv = cleaning.invalidate_bad_quality(param_df) + stats["invalidated"] += n_inv + param_df, _ = cleaning.drop_quality_columns(param_df) + + if vent_df.empty and param_df.empty: + return None + + # ── 3. Merge (chunked=False — already dept-sized, no need) ──── + df = merging.merge_meteo(vent_df, param_df, chunked=False) + del vent_df, param_df + gc.collect() + + # ── 4. Core cleaning (Q steps already done above) ───────────── + df, nb_dup = cleaning.deduplicate(df) + stats["duplicates"] += nb_dup + + df, n_crit = cleaning.drop_critical_nan(df) + stats["crit_dropped"] += n_crit + + if df.empty: + return None + + df = cleaning.parse_dates(df) + df = cleaning.convert_numerics(df) + df = cleaning.cast_string_columns(df) + df = cleaning.normalize_labels(df) + + df, n_rec = cleaning.recover_weather_interpolation(df) + stats["recovered"] += n_rec + + # ── 5. Feature engineering ──────────────────────────────────── + df = features.add_time_features(df) + df = features.add_season(df) + df = features.add_temperature_amplitude(df) + df = features.add_wind_category(df) + df = features.add_precipitation_category(df) + + # ── 6. Consistency fixes ────────────────────────────────────── + df, _ = cleaning.fix_negative_values(df) + df, _ = cleaning.fix_humidity_bounds(df) + df, _ = cleaning.fix_temperature_consistency(df) + + df = df.reset_index(drop=True) + return df, stats + + # ------------------------------------------------------------------ # + # Reporting # + # ------------------------------------------------------------------ # + + def _print_summary(self, s: dict) -> None: + print("\n" + "═" * 60) + print("PIPELINE COMPLETE") + print("═" * 60) + print(f" Input rows (vent + param) : {s['total_input_rows']:>12,}") + print(f" Output rows : {s['total_output_rows']:>12,}") + print(f" Row retention rate : {s['row_retention_rate']:>12.1%}") + print(f" Cells invalidated (Q=0) : {s['total_invalidated_cells']:>12,}") + print(f" Duplicates removed : {s['total_duplicates_removed']:>12,}") + print(f" Critical-NaN rows dropped : {s['total_critical_nan_removed']:>12,}") + print(f" Cells recovered by interp : {s['total_cells_recovered']:>12,}") + print(f" Output → {s['output_path']}") + print("═" * 60) + + def _write_report(self, s: dict) -> None: + import csv + os.makedirs(os.path.dirname(os.path.abspath(self.report_path)), exist_ok=True) + with open(self.report_path, "w", newline="", encoding="utf-8") as f: + writer = csv.DictWriter(f, fieldnames=["metric", "value"]) + writer.writeheader() + for k, v in s.items(): + writer.writerow({"metric": k, "value": v}) + print(f"Report saved → {self.report_path}") From 3a94654331f9e81cf6ea9270ec68b5c7c87543e8 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:24:56 +0200 Subject: [PATCH 25/34] feat: enhance data loading functions with optimized dtype handling and path grouping --- scripts/cleaning/meteo/loading.py | 249 ++++++++++++++++++++++++++++-- 1 file changed, 238 insertions(+), 11 deletions(-) diff --git a/scripts/cleaning/meteo/loading.py b/scripts/cleaning/meteo/loading.py index a1b5ee8..b2de5e4 100644 --- a/scripts/cleaning/meteo/loading.py +++ b/scripts/cleaning/meteo/loading.py @@ -1,19 +1,246 @@ +import gc +import os +import re + import pandas as pd +# --------------------------------------------------------------------------- +# Column & dtype definitions +# --------------------------------------------------------------------------- + +# Measurement columns read as float32 → saves ~50% vs pandas float64 default. +# NUM_POSTE and AAAAMMJJ are intentionally kept as "Int32" (nullable int) so +# that the 8-digit date value 20231231 isn't rounded by float32 (only 7 sig figs). +_FLOAT32_COLS: set[str] = { + # Coordinates + "LAT", "LON", "ALTI", + # Wind — vent file (RR-T-Vent) + "FF", "DD", + "FXY", "DXY", "HXY", + "FXI", "DXI", "HXI", + "FXI2", "DXI2", "HXI2", + "FXI3S", "DXI3S", "HXI3S", + "FFM", "FF2M", + # Temperature & precipitation — vent file + "RR", "DRR", + "TN", "HTN", "TX", "HTX", "TM", "TNTXM", "TAMPLI", "TNSOL", "TN50", + "DG", + # Pressure — param file (autres-paramètres) + "PMERM", "PMERMIN", "PMER", + # Humidity — param file + "UN", "HUN", "UX", "HUX", "UM", "DHUMEC", + # Radiation / solar — param file + "INST", "GLOT", "DIFT", "DIRT", "INFRART", "UV", "UV_INDICEX", "SIGMA", + # Snow / other continuous — param file + "DHUMI40", "DHUMI80", "TSVM", + "ETPMON", "ETPGRILLE", "ETPAZ", "ETPE", "GEOP", + "ECOULEMENTM", "HNEIGEF", "NEIGETOTX", "NEIGETOT06", +} + +_METEO_DTYPES: dict[str, str] = {col: "float32" for col in _FLOAT32_COLS} +_METEO_DTYPES["NUM_POSTE"] = "Int32" # nullable int — no precision loss +_METEO_DTYPES["AAAAMMJJ"] = "Int32" # nullable int — float32 can't hold 8-digit dates + +# Columns to keep from each source file (Q* quality flags kept via lambda). +# ─ Vent file (RR-T-Vent): precipitation + temperature + wind +_VENT_KEEP: set[str] = { + "NUM_POSTE", "AAAAMMJJ", "NOM_USUEL", "LAT", "LON", "ALTI", + # Precipitation + "RR", "DRR", + # Temperature + "TN", "HTN", "TX", "HTX", "TM", "TNTXM", "TAMPLI", "TNSOL", "TN50", "DG", + # Wind + "FF", "DD", + "FXY", "DXY", "HXY", + "FXI", "DXI", "HXI", + "FXI2", "DXI2", "HXI2", + "FXI3S", "DXI3S", "HXI3S", + "STATUS_FXI3S", "STATUS_DXI3S", + "FFM", "FF2M", +} + +# ─ Param file (autres-paramètres): pressure, humidity, radiation, snow … +_PARAM_KEEP: set[str] = { + "NUM_POSTE", "AAAAMMJJ", + # Pressure + "PMERM", "PMERMIN", "PMER", + # Humidity + "UN", "HUN", "UX", "HUX", "UM", "DHUMEC", + # Radiation / solar + "INST", "GLOT", "DIFT", "DIRT", "INFRART", "UV", "UV_INDICEX", "SIGMA", + # Snow & hydrology + "DHUMI40", "DHUMI80", "TSVM", + "ETPMON", "ETPGRILLE", "ETPAZ", "ETPE", "GEOP", + "ECOULEMENTM", "HNEIGEF", "NEIGETOTX", "NEIGETOT06", + # Binary weather indicators + "NEIG", "BROU", "ORAG", "GRESIL", "GRELE", + "ROSEE", "VERGLAS", "SOLNEIGE", "GELEE", +} + +# Regex to extract the département code from Météo-France filenames +# e.g. "Q_86_previous-1950-2024_RR-T-Vent.csv" → "86" +_DEPT_RE = re.compile(r"Q_([^_]+)_") + + +# --------------------------------------------------------------------------- +# Generic helpers +# --------------------------------------------------------------------------- + def load_data(path: str) -> tuple[pd.DataFrame, pd.DataFrame]: + """Generic single-file loader (used by train pipeline).""" df = pd.read_csv(path, sep=";") original_file = df.copy() print(f"Loaded: {df.shape[0]} rows, {df.shape[1]} columns") return df, original_file -def get_paths(csv_paths: str) -> list[str]: - with open(csv_paths, "r", encoding="utf-8") as f: - return f.read().splitlines() - -def load_meteo(csv_vent_path: str, csv_parameter_path) -> pd.DataFrame: - csv_vent_paths = get_paths(csv_vent_path) - csv_parameter_paths = get_paths(csv_parameter_path) - vent_df = pd.concat([pd.read_csv(p, sep=";") for p in csv_vent_paths], ignore_index=True) - parameter_df = pd.concat([pd.read_csv(p, sep=";") for p in csv_parameter_paths]) - meteo_df = pd.merge(vent_df, parameter_df, on=["NUM_POSTE", "AAAAMMJJ"]) - return meteo_df \ No newline at end of file + +def get_paths(index_path: str) -> list[str]: + """Read the index file and return absolute paths. + + Lines may be bare filenames (relative to the index file's directory) + or already-absolute paths — both are handled. + """ + base_dir = os.path.dirname(os.path.abspath(index_path)) + with open(index_path, "r", encoding="utf-8") as f: + lines = [line.strip() for line in f.read().splitlines() if line.strip()] + return [ + line if os.path.isabs(line) else os.path.join(base_dir, line) + for line in lines + ] + + +def _dept_code(path: str) -> str | None: + """Extract département code from a Météo-France CSV filename.""" + m = _DEPT_RE.search(os.path.basename(path)) + return m.group(1) if m else None + + +def group_by_dept( + vent_index_path: str, + param_index_path: str, +) -> dict[str, tuple[list[str], list[str]]]: + """Group vent and param file paths by département code. + + Returns + ------- + dict mapping dept_code → (vent_paths, param_paths) + Sorted by département code so processing is deterministic. + """ + vent_paths = get_paths(vent_index_path) + param_paths = get_paths(param_index_path) + + vent_by_dept: dict[str, list[str]] = {} + for p in vent_paths: + dept = _dept_code(p) + if dept: + vent_by_dept.setdefault(dept, []).append(p) + + param_by_dept: dict[str, list[str]] = {} + for p in param_paths: + dept = _dept_code(p) + if dept: + param_by_dept.setdefault(dept, []).append(p) + + all_depts = sorted(set(vent_by_dept) | set(param_by_dept)) + return { + dept: (vent_by_dept.get(dept, []), param_by_dept.get(dept, [])) + for dept in all_depts + } + + +# --------------------------------------------------------------------------- +# Low-level file loader (used by the streaming pipeline) +# --------------------------------------------------------------------------- + +def load_files(paths: list[str], is_vent: bool) -> pd.DataFrame: + """Load a specific list of CSV files with column filtering and dtype optimisation. + + Parameters + ---------- + paths : list of absolute CSV paths to concatenate + is_vent : True → apply vent column filter, False → param column filter + """ + if not paths: + return pd.DataFrame() + + keep = _VENT_KEEP if is_vent else _PARAM_KEEP + usecols = lambda col: col in keep or col.startswith("Q") + + frames = [] + for p in paths: + if not os.path.exists(p): + print(f"[WARN] File not found, skipped: {p}") + continue + frames.append( + pd.read_csv( + p, + sep=";", + usecols=usecols, + dtype=_METEO_DTYPES, + low_memory=False, + ) + ) + + if not frames: + return pd.DataFrame() + + df = pd.concat(frames, ignore_index=True) + del frames + return df + + +# --------------------------------------------------------------------------- +# Bulk loaders (kept for backward-compat / notebook use — load EVERYTHING) +# --------------------------------------------------------------------------- + +def load_vent(csv_vent_path: str) -> pd.DataFrame: + """Load ALL wind observation files. Returns a single optimised DataFrame. + + ⚠ This loads the full dataset (~97 M rows) at once. + Use the streaming Pipeline instead for large-memory environments. + """ + paths = get_paths(csv_vent_path) + df = load_files(paths, is_vent=True) + gc.collect() + print( + f"Vent loaded : {df.shape[0]:,} rows, {df.shape[1]} columns" + f" from {len(paths)} file(s)" + ) + return df + + +def load_parameters(csv_parameter_path: str) -> pd.DataFrame: + """Load ALL weather-parameter observation files. + + ⚠ This loads the full dataset (~58 M rows) at once. + Use the streaming Pipeline instead for large-memory environments. + """ + paths = get_paths(csv_parameter_path) + df = load_files(paths, is_vent=False) + gc.collect() + print( + f"Params loaded: {df.shape[0]:,} rows, {df.shape[1]} columns" + f" from {len(paths)} file(s)" + ) + return df + + +def load_meteo( + csv_vent_path: str, + csv_parameter_path: str, +) -> tuple[pd.DataFrame, pd.DataFrame]: + """Public helper: load, merge, and return (merged_df, copy_for_comparison). + + ⚠ Loads everything at once — for small datasets or notebook exploration only. + """ + from .merging import merge_meteo + + vent_df = load_vent(csv_vent_path) + param_df = load_parameters(csv_parameter_path) + df = merge_meteo(vent_df, param_df) + del vent_df, param_df + gc.collect() + + original = df.copy() + print(f"Merged meteo : {df.shape[0]:,} rows, {df.shape[1]} columns") + return df, original From d5b48e8617e71358ad6b2466e7a22054c6b4a33a Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:25:01 +0200 Subject: [PATCH 26/34] feat: add feature functions and update module imports in __init__.py --- scripts/cleaning/meteo/__init__.py | 39 ++++++++++++++++++++++-------- 1 file changed, 29 insertions(+), 10 deletions(-) diff --git a/scripts/cleaning/meteo/__init__.py b/scripts/cleaning/meteo/__init__.py index 77df267..f57db4f 100644 --- a/scripts/cleaning/meteo/__init__.py +++ b/scripts/cleaning/meteo/__init__.py @@ -1,13 +1,32 @@ -from . import audit, cleaning, merging, visualization -from .loading import get_paths, load_data, load_meteo +from . import audit, cleaning, features, loading, merging, visualization +from .features import ( + add_precipitation_category, + add_season, + add_temperature_amplitude, + add_time_features, + add_wind_category, +) +from .loading import get_paths, load_data, load_meteo, load_parameters, load_vent +from .pipeline import Pipeline __all__ = [ - "audit", - "cleaning", - "merging", - "visualization", - "load_data", - "get_paths", - "load_meteo", + "audit", + "cleaning", + "features", + "loading", + "merging", + "visualization", + "Pipeline", + # loading helpers + "load_data", + "get_paths", + "load_vent", + "load_parameters", + "load_meteo", + # feature functions + "add_time_features", + "add_season", + "add_temperature_amplitude", + "add_wind_category", + "add_precipitation_category", ] - From 9bc5cb10e473f32a06bf8ef8413679fbde8224c1 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:25:05 +0200 Subject: [PATCH 27/34] feat: add plotting functions to __init__.py for data cleaning and EDA --- .../cleaning/meteo/visualization/__init__.py | 53 +++++++++++++++++++ 1 file changed, 53 insertions(+) diff --git a/scripts/cleaning/meteo/visualization/__init__.py b/scripts/cleaning/meteo/visualization/__init__.py index e69de29..e106637 100644 --- a/scripts/cleaning/meteo/visualization/__init__.py +++ b/scripts/cleaning/meteo/visualization/__init__.py @@ -0,0 +1,53 @@ +from .cleaning_plots import ( + plot_corrections, + plot_critical_nan_drop, + plot_current_nan, + plot_dedup, + plot_interpolation_recovery, + plot_null_overview, + plot_outlier_rates, + plot_quality_invalidation, + plot_retention_funnel, + plot_validity_checks, +) +from .eda_plots import ( + plot_correlation_matrix, + plot_monthly_precipitation_trend, + plot_monthly_temperature_trend, + plot_precipitation_distribution, + plot_seasonal_temperature, + plot_seasonal_wind, + plot_station_coverage, + plot_temperature_distribution, + plot_temperature_heatmap_year_month, + plot_top_stations_by_temperature, + plot_wind_distribution, + run_all_eda, +) + +__all__ = [ + # cleaning plots + "plot_null_overview", + "plot_current_nan", + "plot_dedup", + "plot_critical_nan_drop", + "plot_quality_invalidation", + "plot_interpolation_recovery", + "plot_retention_funnel", + "plot_corrections", + "plot_outlier_rates", + "plot_validity_checks", + # eda plots + "plot_temperature_distribution", + "plot_seasonal_temperature", + "plot_precipitation_distribution", + "plot_wind_distribution", + "plot_monthly_temperature_trend", + "plot_monthly_precipitation_trend", + "plot_top_stations_by_temperature", + "plot_correlation_matrix", + "plot_temperature_heatmap_year_month", + "plot_seasonal_wind", + "plot_station_coverage", + "run_all_eda", +] From 2a783d5657bf7742d62935b38c80690e88a8807a Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:25:09 +0200 Subject: [PATCH 28/34] feat: expose merge_meteo function in __init__.py for module accessibility --- scripts/cleaning/meteo/merging/__init__.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/scripts/cleaning/meteo/merging/__init__.py b/scripts/cleaning/meteo/merging/__init__.py index e69de29..5cab27c 100644 --- a/scripts/cleaning/meteo/merging/__init__.py +++ b/scripts/cleaning/meteo/merging/__init__.py @@ -0,0 +1,3 @@ +from .merging_meteo import merge_meteo + +__all__ = ["merge_meteo"] From d38dcebd12cee1fecddeda1db15811bef6888f67 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:25:20 +0200 Subject: [PATCH 29/34] feat: add data correction and preprocessing functions to __init__.py for improved module functionality --- scripts/cleaning/meteo/cleaning/__init__.py | 37 +++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/scripts/cleaning/meteo/cleaning/__init__.py b/scripts/cleaning/meteo/cleaning/__init__.py index e69de29..b54eaf2 100644 --- a/scripts/cleaning/meteo/cleaning/__init__.py +++ b/scripts/cleaning/meteo/cleaning/__init__.py @@ -0,0 +1,37 @@ +from .corrections import ( + fix_humidity_bounds, + fix_negative_values, + fix_temperature_consistency, +) +from .nan_recovery import recover_weather_interpolation +from .normalization import normalize_labels +from .preprocessing import ( + CRITICAL_COLS, + deduplicate, + drop_critical_nan, + drop_quality_columns, + drop_sparse_columns, + invalidate_bad_quality, +) +from .type_conversion import ( + cast_string_columns, + convert_numerics, + parse_dates, +) + +__all__ = [ + "CRITICAL_COLS", + "invalidate_bad_quality", + "drop_quality_columns", + "drop_sparse_columns", + "deduplicate", + "drop_critical_nan", + "parse_dates", + "convert_numerics", + "cast_string_columns", + "normalize_labels", + "recover_weather_interpolation", + "fix_negative_values", + "fix_humidity_bounds", + "fix_temperature_consistency", +] From 66886cb788f0aaa6c3623665565ec15c8c306452 Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:25:27 +0200 Subject: [PATCH 30/34] feat: add quality checks and audit report to __init__.py for enhanced data validation --- scripts/cleaning/meteo/audit/__init__.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/scripts/cleaning/meteo/audit/__init__.py b/scripts/cleaning/meteo/audit/__init__.py index e69de29..3524647 100644 --- a/scripts/cleaning/meteo/audit/__init__.py +++ b/scripts/cleaning/meteo/audit/__init__.py @@ -0,0 +1,17 @@ +from .quality import ( + check_completeness, + check_distributions, + check_effectiveness, + check_outliers, + check_validity, +) +from .tracker import AuditReport + +__all__ = [ + "AuditReport", + "check_completeness", + "check_distributions", + "check_outliers", + "check_validity", + "check_effectiveness", +] From ba6a57858d421b58aff86d6d8c678a0e37013eff Mon Sep 17 00:00:00 2001 From: Sacha-lma Date: Tue, 26 May 2026 01:27:14 +0200 Subject: [PATCH 31/34] refactor: deleted unuseful 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z5yq;_Wih0&^Lp-x8)!Bih0s0<#Z>xpTmU~6<8nOFb+gAyWYZJUKI-eUP1qr>F>4tnz)j6KZ>_eL>4{p=w#A%gZqaD%3`5)*9xGd1Fn#f(OAjusa4>u Date: Tue, 26 May 2026 07:14:37 +0200 Subject: [PATCH 32/34] Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- scripts/cleaning/meteo/pipeline.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/scripts/cleaning/meteo/pipeline.py b/scripts/cleaning/meteo/pipeline.py index c82c834..0efccb3 100644 --- a/scripts/cleaning/meteo/pipeline.py +++ b/scripts/cleaning/meteo/pipeline.py @@ -28,8 +28,8 @@ def __init__( self, data_vent_path: str, data_parameter_path: str, - output_path: str = "../../../data/processed/meteo/cleaned_meteo_dataset.csv", - report_path: str = "../../../data/processed/audit/cleaning_meteo_report.csv", + output_path: str = "data/processed/meteo/cleaned_meteo_dataset.csv", + report_path: str = "data/processed/audit/cleaning_meteo_report.csv", ): self.data_vent_path = data_vent_path self.data_parameter_path = data_parameter_path From f311ccd1086a568de08e3488cbed9051e46c841c Mon Sep 17 00:00:00 2001 From: Sacha Le Moign-Avalos Date: Tue, 26 May 2026 07:15:29 +0200 Subject: [PATCH 33/34] Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --- scripts/cleaning/meteo/visualization/eda_plots.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/scripts/cleaning/meteo/visualization/eda_plots.py b/scripts/cleaning/meteo/visualization/eda_plots.py index 95e6d57..0794dde 100644 --- a/scripts/cleaning/meteo/visualization/eda_plots.py +++ b/scripts/cleaning/meteo/visualization/eda_plots.py @@ -171,9 +171,18 @@ def plot_correlation_matrix(df: pd.DataFrame) -> None: corr = df[cols].corr() mask = np.triu(np.ones_like(corr, dtype=bool), k=1) # upper triangle only fig, ax = plt.subplots(figsize=(13, 9)) - sns.heatmap(corr, annot=True, fmt=".2f", cmap="coolwarm", - vmin=-1, vmax=1, ax=ax, linewidths=0.5, - annot_kws={"size": 9}) + sns.heatmap( + corr, + mask=mask, + annot=True, + fmt=".2f", + cmap="coolwarm", + vmin=-1, + vmax=1, + ax=ax, + linewidths=0.5, + annot_kws={"size": 9}, + ) ax.set_title("Correlation matrix — key meteorological features") plt.tight_layout() plt.show() From 0de3962f05421758449f8372f6fd2b141f123a8c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 26 May 2026 05:16:19 +0000 Subject: [PATCH 34/34] Fix indentation in scripts __all__ export list Agent-Logs-Url: https://github.com/OpenCz/Tardis/sessions/41f2cac2-b68e-4263-b9f8-3c2c3a29ea60 Co-authored-by: sacha-lma <233736501+sacha-lma@users.noreply.github.com> --- scripts/__init__.py | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/scripts/__init__.py b/scripts/__init__.py index 8adfd44..214529e 100644 --- a/scripts/__init__.py +++ b/scripts/__init__.py @@ -10,14 +10,13 @@ pipeline = cleaning.pipeline __all__ = [ - "cleaning", - "trains", - "meteo", - "audit", - "merging", - "visualization", - "features", - "loading", - "pipeline", + "cleaning", + "trains", + "meteo", + "audit", + "merging", + "visualization", + "features", + "loading", + "pipeline", ] -