test/zea_mays_test/plant2human_report.ipynb

{
 "cells": [
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   "cell_type": "code",
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   "id": "8cd65655",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2024-11-16T03:41:11.327611Z",
     "shell.execute_reply": "2024-11-16T03:41:11.327184Z"
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    "papermill": {
     "duration": 0.647973,
     "end_time": "2024-11-16T03:41:11.328248",
     "exception": false,
     "start_time": "2024-11-16T03:41:10.680275",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import re\n",
    "import datetime\n",
    "import pathlib\n",
    "import polars as pl # type: ignore\n",
    "import matplotlib.pyplot as plt # type: ignore\n",
    "import seaborn as sns # type: ignore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b3c354f4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.332656Z",
     "iopub.status.busy": "2024-11-16T03:41:11.332551Z",
     "iopub.status.idle": "2024-11-16T03:41:11.334724Z",
     "shell.execute_reply": "2024-11-16T03:41:11.334419Z"
    },
    "papermill": {
     "duration": 0.004709,
     "end_time": "2024-11-16T03:41:11.335055",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.330346",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Execute Date: 241116\n"
     ]
    }
   ],
   "source": [
    "VERSION = datetime.datetime.now().strftime(\"%y%m%d\")\n",
    "print(f\"Execute Date: {VERSION}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f39b8f1f",
   "metadata": {
    "papermill": {
     "duration": 0.001852,
     "end_time": "2024-11-16T03:41:11.338819",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.336967",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Parameters for papermill"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "edccb40c",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2024-11-16T03:41:11.344621Z",
     "shell.execute_reply": "2024-11-16T03:41:11.344325Z"
    },
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     "duration": 0.004393,
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     "exception": false,
     "start_time": "2024-11-16T03:41:11.340610",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "foldseek_result_tsv = pathlib.Path(\"../test/oryza_sativa_test/foldseek_os_random_9606.tsv\")\n",
    "query_uniprot_idmapping_tsv = pathlib.Path(\"../test/oryza_sativa_test/rice_random_gene_idmapping_all.tsv\")\n",
    "water_result_dir_path = pathlib.Path(\"../test/oryza_sativa_test/result_water\")\n",
    "needle_result_dir_path = pathlib.Path(\"../test/oryza_sativa_test/result_needle\")\n",
    "query_gene_list_tsv_path = pathlib.Path(\"../test/oryza_sativa_test/rice_random_gene_idmapping_all.tsv\")\n",
    "togoid_convert_tsv_path = pathlib.Path(\"../test/oryza_sativa_test/foldseek_hit_species_togoid_convert.tsv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c7181633",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.349426Z",
     "iopub.status.busy": "2024-11-16T03:41:11.349333Z",
     "iopub.status.idle": "2024-11-16T03:41:11.351275Z",
     "shell.execute_reply": "2024-11-16T03:41:11.350949Z"
    },
    "papermill": {
     "duration": 0.004764,
     "end_time": "2024-11-16T03:41:11.351667",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.346903",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "foldseek_result_tsv = \"/tmp/xup4lvh0/stg9236d3ae-00b2-4533-9014-0a2bb8d66a74/foldseek_zm_random_9606.tsv\"\n",
    "query_uniprot_idmapping_tsv = \"/tmp/xup4lvh0/stgdd550faf-4495-4507-8482-9acecaa81ab1/zea_mays_random_gene_idmapping_all.tsv\"\n",
    "water_result_dir_path = \"/tmp/xup4lvh0/stg361f9941-1162-4125-aea3-393d52459b59/result_water\"\n",
    "needle_result_dir_path = \"/tmp/xup4lvh0/stgf85f117c-4f86-4a0d-8e5b-8f24729661d9/result_needle\"\n",
    "query_gene_list_tsv_path = \"/tmp/xup4lvh0/stgf311ab72-88ac-43b9-b7cf-7016d98efaaa/zea_mays_random_gene_list.tsv\"\n",
    "togoid_convert_tsv_path = \"/tmp/xup4lvh0/stg8c91bc77-4704-47b1-b59d-507c6a937d79/foldseek_hit_species_togoid_convert.tsv\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "755a7e5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.356146Z",
     "iopub.status.busy": "2024-11-16T03:41:11.356066Z",
     "iopub.status.idle": "2024-11-16T03:41:11.375393Z",
     "shell.execute_reply": "2024-11-16T03:41:11.375164Z"
    },
    "papermill": {
     "duration": 0.02199,
     "end_time": "2024-11-16T03:41:11.375805",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.353815",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3_186, 30)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>UniProt Accession</th><th>foldseek hit</th><th>evalue</th><th>prob</th><th>gapopen</th><th>pident</th><th>fident</th><th>nident</th><th>qstart</th><th>qend</th><th>qlen</th><th>tstart</th><th>tend</th><th>tlen</th><th>alnlen</th><th>qcov</th><th>tcov</th><th>lddt</th><th>qtmscore</th><th>ttmscore</th><th>alntmscore</th><th>rmsd</th><th>taxid</th><th>taxname</th><th>taxlineage</th><th>qaln</th><th>taln</th><th>mismatch</th><th>lddtfull</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td></tr></thead><tbody><tr><td>&quot;Zm00001eb376070&quot;</td><td>&quot;A0A804R211&quot;</td><td>&quot;Q9HCN8&quot;</td><td>0.0000273</td><td>1.0</td><td>15</td><td>12.0</td><td>0.12</td><td>25</td><td>2</td><td>180</td><td>198</td><td>33</td><td>221</td><td>221</td><td>208</td><td>0.904</td><td>0.855</td><td>0.5773</td><td>0.5508</td><td>0.4998</td><td>0.4998</td><td>10.37</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;GCLLPDQAFVRLRNRTYGMYLYAHE---DG…</td><td>&quot;AELVTCGSVLKLLNTHHRVRLHSHDIKYGS…</td><td>135</td><td>&quot;0.213,0.198,0.564,0.674,0.643,…</td></tr><tr><td>&quot;Zm00001eb376070&quot;</td><td>&quot;A0A804R211&quot;</td><td>&quot;Q16658&quot;</td><td>0.0006583</td><td>1.0</td><td>9</td><td>15.9</td><td>0.159</td><td>25</td><td>5</td><td>160</td><td>198</td><td>8</td><td>136</td><td>493</td><td>157</td><td>0.788</td><td>0.262</td><td>0.5642</td><td>0.5399</td><td>0.2323</td><td>0.2323</td><td>3.474</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;LPDQAFVRLRNRTYGMYLYAHEDGAAVVLK…</td><td>&quot;EAVQIQFGLINCG-NKYLTAEAFGFKVNAS…</td><td>103</td><td>&quot;0.060,0.121,0.270,0.410,0.649,…</td></tr><tr><td>&quot;Zm00001eb376070&quot;</td><td>&quot;A0A804R211&quot;</td><td>&quot;P61328&quot;</td><td>0.0003742</td><td>1.0</td><td>11</td><td>13.3</td><td>0.133</td><td>28</td><td>5</td><td>198</td><td>198</td><td>65</td><td>243</td><td>243</td><td>209</td><td>0.98</td><td>0.737</td><td>0.6212</td><td>0.5314</td><td>0.4419</td><td>0.4419</td><td>20.29</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;LPDQ----AFVRLRNRTYGMYLYAHEDGAA…</td><td>&quot;RPEPQLKGIVTRLFS-QQGYFLQMHPDG-T…</td><td>136</td><td>&quot;0.060,0.086,0.074,0.096,0.625,…</td></tr><tr><td>&quot;Zm00001eb376070&quot;</td><td>&quot;A0A804R211&quot;</td><td>&quot;Q14331&quot;</td><td>0.0004838</td><td>1.0</td><td>13</td><td>12.1</td><td>0.121</td><td>20</td><td>1</td><td>158</td><td>198</td><td>50</td><td>180</td><td>258</td><td>164</td><td>0.798</td><td>0.508</td><td>0.5482</td><td>0.5197</td><td>0.408</td><td>0.408</td><td>3.59</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MGCLLPDQAFVRLRNRTYGMYLYAHEDGAA…</td><td>&quot;VTNFGEISGTIAIEMDK-GTYIHALDNG-L…</td><td>105</td><td>&quot;0.324,0.256,0.339,0.436,0.380,…</td></tr><tr><td>&quot;Zm00001eb376070&quot;</td><td>&quot;A0A804R211&quot;</td><td>&quot;Q92915&quot;</td><td>0.0003208</td><td>1.0</td><td>9</td><td>14.0</td><td>0.14</td><td>29</td><td>9</td><td>195</td><td>198</td><td>71</td><td>246</td><td>247</td><td>206</td><td>0.944</td><td>0.713</td><td>0.5821</td><td>0.4912</td><td>0.4011</td><td>0.4011</td><td>14.99</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;AFVRLRNRTYGMYLYAHEDGAAVVLKPHRA…</td><td>&quot;IVTRLYCRQ-GYYLQMHPDG-ALDGTKDDS…</td><td>128</td><td>&quot;0.613,0.730,0.746,0.736,0.705,…</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q99808&quot;</td><td>0.01162</td><td>1.0</td><td>26</td><td>12.2</td><td>0.122</td><td>59</td><td>14</td><td>391</td><td>440</td><td>11</td><td>449</td><td>456</td><td>483</td><td>0.859</td><td>0.963</td><td>0.3831</td><td>0.4963</td><td>0.482</td><td>0.482</td><td>8.594</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;AARRRLV---IGVGFWVQ-GFRLFP--WLG…</td><td>&quot;YKAVWLIFFMLGLGTLLPWNFFMTATQYFT…</td><td>275</td><td>&quot;0.133,0.256,0.277,0.193,0.212,…</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q9NQ40&quot;</td><td>0.007425</td><td>1.0</td><td>26</td><td>14.3</td><td>0.143</td><td>75</td><td>14</td><td>429</td><td>440</td><td>2</td><td>446</td><td>469</td><td>522</td><td>0.945</td><td>0.949</td><td>0.3544</td><td>0.4049</td><td>0.3843</td><td>0.3843</td><td>16.62</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;AARRRL---VIGVGFWV--QGFRL-FPWLG…</td><td>&quot;AFLMHLLVCVFGMGSWVTINGLWVELPLLV…</td><td>264</td><td>&quot;0.293,0.312,0.272,0.287,0.322,…</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q9BZD2&quot;</td><td>0.01483</td><td>0.999</td><td>27</td><td>11.6</td><td>0.116</td><td>55</td><td>13</td><td>399</td><td>440</td><td>54</td><td>472</td><td>475</td><td>473</td><td>0.88</td><td>0.882</td><td>0.3469</td><td>0.4281</td><td>0.4035</td><td>0.4035</td><td>10.39</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;TAARRRLVIGV----GFWVQGFRLFPWLGV…</td><td>&quot;YIIFFSLGIGSLLPWNFFITAKEYWMFKLR…</td><td>278</td><td>&quot;0.449,0.314,0.438,0.353,0.287,…</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q9HAB3&quot;</td><td>0.01893</td><td>0.996</td><td>24</td><td>13.1</td><td>0.131</td><td>66</td><td>15</td><td>434</td><td>440</td><td>10</td><td>438</td><td>445</td><td>501</td><td>0.955</td><td>0.964</td><td>0.3476</td><td>0.3965</td><td>0.3931</td><td>0.3931</td><td>17.71</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;ARRRLVIGVGFW-----VQGFRL-FPWLGV…</td><td>&quot;VLTHLLVALFGMGSWAAVNGIWVELPVVVK…</td><td>282</td><td>&quot;0.400,0.348,0.369,0.415,0.397,…</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q96GZ6&quot;</td><td>0.0926</td><td>0.692</td><td>26</td><td>12.7</td><td>0.127</td><td>61</td><td>17</td><td>425</td><td>440</td><td>65</td><td>501</td><td>507</td><td>480</td><td>0.93</td><td>0.862</td><td>0.3231</td><td>0.2424</td><td>0.2237</td><td>0.2237</td><td>15.41</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;RRLVIGVGFWVQGFRLFPWLGVNF------…</td><td>&quot;IGLQVTVPFMFAG-LGLSWAGMLLDYFQHW…</td><td>305</td><td>&quot;0.193,0.195,0.177,0.181,0.185,…</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3_186, 30)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬──────────┬───────────┐\n",
       "│ From      ┆ UniProt   ┆ foldseek  ┆ evalue    ┆ … ┆ qaln      ┆ taln      ┆ mismatch ┆ lddtfull  │\n",
       "│ ---       ┆ Accession ┆ hit       ┆ ---       ┆   ┆ ---       ┆ ---       ┆ ---      ┆ ---       │\n",
       "│ str       ┆ ---       ┆ ---       ┆ f64       ┆   ┆ str       ┆ str       ┆ i64      ┆ str       │\n",
       "│           ┆ str       ┆ str       ┆           ┆   ┆           ┆           ┆          ┆           │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪══════════╪═══════════╡\n",
       "│ Zm00001eb ┆ A0A804R21 ┆ Q9HCN8    ┆ 0.0000273 ┆ … ┆ GCLLPDQAF ┆ AELVTCGSV ┆ 135      ┆ 0.213,0.1 │\n",
       "│ 376070    ┆ 1         ┆           ┆           ┆   ┆ VRLRNRTYG ┆ LKLLNTHHR ┆          ┆ 98,0.564, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ MYLYAHE-- ┆ VRLHSHDIK ┆          ┆ 0.674,0.6 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ -DG…      ┆ YGS…      ┆          ┆ 43,…      │\n",
       "│ Zm00001eb ┆ A0A804R21 ┆ Q16658    ┆ 0.0006583 ┆ … ┆ LPDQAFVRL ┆ EAVQIQFGL ┆ 103      ┆ 0.060,0.1 │\n",
       "│ 376070    ┆ 1         ┆           ┆           ┆   ┆ RNRTYGMYL ┆ INCG-NKYL ┆          ┆ 21,0.270, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ YAHEDGAAV ┆ TAEAFGFKV ┆          ┆ 0.410,0.6 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ VLK…      ┆ NAS…      ┆          ┆ 49,…      │\n",
       "│ Zm00001eb ┆ A0A804R21 ┆ P61328    ┆ 0.0003742 ┆ … ┆ LPDQ----A ┆ RPEPQLKGI ┆ 136      ┆ 0.060,0.0 │\n",
       "│ 376070    ┆ 1         ┆           ┆           ┆   ┆ FVRLRNRTY ┆ VTRLFS-QQ ┆          ┆ 86,0.074, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ GMYLYAHED ┆ GYFLQMHPD ┆          ┆ 0.096,0.6 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ GAA…      ┆ G-T…      ┆          ┆ 25,…      │\n",
       "│ Zm00001eb ┆ A0A804R21 ┆ Q14331    ┆ 0.0004838 ┆ … ┆ MGCLLPDQA ┆ VTNFGEISG ┆ 105      ┆ 0.324,0.2 │\n",
       "│ 376070    ┆ 1         ┆           ┆           ┆   ┆ FVRLRNRTY ┆ TIAIEMDK- ┆          ┆ 56,0.339, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ GMYLYAHED ┆ GTYIHALDN ┆          ┆ 0.436,0.3 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ GAA…      ┆ G-L…      ┆          ┆ 80,…      │\n",
       "│ Zm00001eb ┆ A0A804R21 ┆ Q92915    ┆ 0.0003208 ┆ … ┆ AFVRLRNRT ┆ IVTRLYCRQ ┆ 128      ┆ 0.613,0.7 │\n",
       "│ 376070    ┆ 1         ┆           ┆           ┆   ┆ YGMYLYAHE ┆ -GYYLQMHP ┆          ┆ 30,0.746, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ DGAAVVLKP ┆ DG-ALDGTK ┆          ┆ 0.736,0.7 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ HRA…      ┆ DDS…      ┆          ┆ 05,…      │\n",
       "│ …         ┆ …         ┆ …         ┆ …         ┆ … ┆ …         ┆ …         ┆ …        ┆ …         │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q99808    ┆ 0.01162   ┆ … ┆ AARRRLV-- ┆ YKAVWLIFF ┆ 275      ┆ 0.133,0.2 │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆ -IGVGFWVQ ┆ MLGLGTLLP ┆          ┆ 56,0.277, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ -GFRLFP-- ┆ WNFFMTATQ ┆          ┆ 0.193,0.2 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ WLG…      ┆ YFT…      ┆          ┆ 12,…      │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q9NQ40    ┆ 0.007425  ┆ … ┆ AARRRL--- ┆ AFLMHLLVC ┆ 264      ┆ 0.293,0.3 │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆ VIGVGFWV- ┆ VFGMGSWVT ┆          ┆ 12,0.272, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ -QGFRL-FP ┆ INGLWVELP ┆          ┆ 0.287,0.3 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ WLG…      ┆ LLV…      ┆          ┆ 22,…      │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q9BZD2    ┆ 0.01483   ┆ … ┆ TAARRRLVI ┆ YIIFFSLGI ┆ 278      ┆ 0.449,0.3 │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆ GV----GFW ┆ GSLLPWNFF ┆          ┆ 14,0.438, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ VQGFRLFPW ┆ ITAKEYWMF ┆          ┆ 0.353,0.2 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ LGV…      ┆ KLR…      ┆          ┆ 87,…      │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q9HAB3    ┆ 0.01893   ┆ … ┆ ARRRLVIGV ┆ VLTHLLVAL ┆ 282      ┆ 0.400,0.3 │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆ GFW-----V ┆ FGMGSWAAV ┆          ┆ 48,0.369, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ QGFRL-FPW ┆ NGIWVELPV ┆          ┆ 0.415,0.3 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ LGV…      ┆ VVK…      ┆          ┆ 97,…      │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q96GZ6    ┆ 0.0926    ┆ … ┆ RRLVIGVGF ┆ IGLQVTVPF ┆ 305      ┆ 0.193,0.1 │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆ WVQGFRLFP ┆ MFAG-LGLS ┆          ┆ 95,0.177, │\n",
       "│           ┆           ┆           ┆           ┆   ┆ WLGVNF--- ┆ WAGMLLDYF ┆          ┆ 0.181,0.1 │\n",
       "│           ┆           ┆           ┆           ┆   ┆ ---…      ┆ QHW…      ┆          ┆ 85,…      │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴──────────┴───────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "foldseek_result_df = pl.read_csv(\n",
    "    foldseek_result_tsv,\n",
    "    separator='\\t'\n",
    ")\n",
    "\n",
    "foldseek_result = pl.read_csv(\n",
    "    query_uniprot_idmapping_tsv, # query idmapping\n",
    "    separator='\\t'\n",
    ").join(\n",
    "    foldseek_result_df,\n",
    "    on=\"UniProt Accession\",\n",
    "    how=\"inner\",\n",
    "    coalesce=True\n",
    ")\n",
    "\n",
    "display(foldseek_result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c58c0ccb",
   "metadata": {
    "papermill": {
     "duration": 0.001988,
     "end_time": "2024-11-16T03:41:11.379936",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.377948",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "955b963a",
   "metadata": {
    "papermill": {
     "duration": 0.001919,
     "end_time": "2024-11-16T03:41:11.383779",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.381860",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Create Scatter Plot for all hits (Strucutural alignment identity vs LDDT)\n",
    "\n",
    "- Identity in the results of the structural alignment is also output in the foldseek output.\n",
    "- However, in this notebook, you can also select the results of the pairwise alignment of amino acid sequences (global alignment, local alignment)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3beacd52",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.388041Z",
     "iopub.status.busy": "2024-11-16T03:41:11.387890Z",
     "iopub.status.idle": "2024-11-16T03:41:11.563177Z",
     "shell.execute_reply": "2024-11-16T03:41:11.562885Z"
    },
    "papermill": {
     "duration": 0.177875,
     "end_time": "2024-11-16T03:41:11.563581",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.385706",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 4000x4000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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IZGpvb1dxcbHa2tpUVFSU6uYAAAAAQMIxDsJQN+R3SwEQG7vdruuvv17XX3+9z97owHBGvwAC0S8AAOmEmRsAfHR2dqqgoEAS1e8BN/oFEIh+AWQWxkEY6jJqtxQAiWc0GvWjH/3I8z0A+gUQDP0CAJBOmLkBAAAAAEMc4yAMddTcAAAAAAAAGY1lKQB8uFwu7d+/X5I0evRoGQyGFLcISD36BRCIfgEASCeEGwB8dHV1acyYMZIoEAe40S+AQPSL6Byy2bSnq0ttPT0qMZk0xmzWCLM51c0CgCGHcAMAAABIgB3t7bpuzRrVNzV5bqutqNCDtbWaQM0DAIgrwg0APiwWi4ZZnWEgIvoFEGi494vWjg7ts9nUZrerxGTSaLNZpf1b40pHZ2z4BxuSVL99u66rr9fTc+YwgwMA4ohwAwAAAENGLMtABrpk5OPDh/W1+nptam3V0spKVZWWqqm9XRU2m8YXFGiE2aw9XV0BwYZb/fbt2tPVRbiBlHjnnXdU4BXEeRs9erSsVmuSWwTEB+EGAABABqB2Q2SxLAMZ6JKR1o4OT7Dx1Ny5urexUSsbGgKe44jDEbatbT09sZ4eEBcXXHBByPvyzGZtff99Ag5kJMINAD7sdru+853vSJL++7//WyaTKcUtAlKPfoFUS6faDe6QZd+RI3rwJz+ROSdH9/785ynvF7EsAxnMkpF9NpvWNTdrRVWV7m1s1Prm5qDP8avq6rDtLc7NjfUUgbg48YYbVHjccQG3d+3apS333af9+/cTbiAjEW4A8NHb26t7771XkrRy5cqU/88qkA7oF0ildKrd4BOy9PRIDzwgSbp5xQp9urQ0KW0IJZZlIINZMtJmt0uSqkpLfWZs+D+H3elUbUWF6rdvD7i/tqJCY/PzI50SkBD5paVBww0g0xFuAPBhNBp1yy23eL4HQL9AaqVL7YaAkCUrS5o5U5K0ZONGPXvppSldJhNpmYf3/bEc66+4P9zsdjrDPscRh0MP1tbquvp6n4CjtqJCD86ezZIiAIgzwg0APnJzc7Vy5cpUNwNIK/QLpNJgBuLxFBCy5ORIF10kSVq3a1fKC2RGWubhfX8sx/o7xmxWjdWqvOzsiM8xoahIT8+Z46mVUpybq7H5+QQbAJAAWaluAAAAAEIbzEA8nlIZshyy2fT+gQPa3NqqrQcP6pDNFnDM2Px81VZUBH28/zKQWI71V1pQoPtra9Xa0aHqEHUJvJ9jhNmsk0aN0tTSUp00ahTBBgAkCDM3APhwuVzq6uqSJOXn58tgMKS4RUDq0S+QSu6BeKprNwSEKC6X5N4RxGhMWMgSbTHVEWZz1MtAYjk2mIklJbLk5OiCCRN04/r1gW0bYstOWjs6tM9mU5vdrhKTSaPNZpWG2EoUAFKFcAOAj66uLs/e5x0dHbJYLCluEZB69Auk0mAH4vESELI4HNKKFZKkmY89lpCQJdZiqrEsAxnskpFxBQUaJ+npuXOH9LKTbYcPa31Tk0oLCtTtdKq9p0cNLS2qLi/X8SUlqW4eAHgQbgAAAKS5dKjdECpkkaRf1dQkpC0DKaY6wmz2uc29pKWtp0clJpPGeN3vf+xAxOM50tXujg41t7frma1bfba8rbZa9akRI5Sfk6NxzOAAkCYINwD4yM/PV0dHh+d7APQLpId0GER7hyyH7XblLlyoMfn5Gj9qVEJeb7B1PqJd0oLg2np69KOGBp9gQ5Ln51U1NRqXioYBQBCEGwB8GAwGptwDfugXwL8lM2QZTDHVWJe0IJCttzcg2HBb39wsW29vklsEAKGxWwoAAADS0mB2NYlmSQvC64gwMybS/QCQTIQbAHz09PRoxYoVWrFihXr4nxZAEv0CCCYZ/cJd58M/4IimmGoqt64dKkbk5Q3qfgBIJpalAPDhcDj04x//WJJ0yy23KDdBW/sBmYR+AQRKVr8YaDHVwSxpwVFlFotqy8uDzoCpLS9XGcv1AKQRwg0APnJycnTTTTd5vgdAv0h3h2w2z8DXfzcMJE4y+8VA6nwEbF3rJdKSFhw1wmzWg7Nnp3wbYgCIhsHlcrlS3Yhkam9vV3Fxsdra2lRElWwAADIau2EgnB3t7SEH5hMKC1PXsAzjHSCmYhtixId7HHTa7berZNKkgPuPfPKJGpcvV2Njo6ZMmZKCFgKDw8dPAAAgI7EbBiIZ6JIW+EqHbYgBIBLCDQAAkJGi2Q2DARliHZizzAlD3cFt22R3OiUdXVKWazJJkrp27Upls4BBI9wA4KOzs1MFBQWSpI6ODlkoFgbQL9IUu2Gk1lDsFyxzwnDQ/NhjIe/LM5s1evToJLYGiB/CDQAAkJHYDQPxxDInDBfW+fNlGT9etr17tf3ZZ/X4449rUn8NjtGjR8tqtaa4hcDAEG4A8JGfn6+9e/d6vgdAv0hX7IaRWkOtX7DMCcPFyFNPVcmkSTryySfa/uyzmjRpEgVEMSRkpboBANKLwWDQMccco2OOOUYGgyHVzQHSAv0iPY0wm/Vgba1qKyp8bmebyuQYav2CZU4AkNmYuQEAADIWu2EgXljmBACZjXADgI+enh797Gc/kyR961vfUi7/MwfQL9Ic21SmxlDrFwNZ5sTOKgCQPgwul8uV6kYkU3t7u4qLi9XW1qYiql4DAYZi9XtgsOgXQKCh2C92tLfruvp6n4DDvcxpQmFh4LHsrIIM4h4HnXb77Z6aG43Ll6uxsZGaGxgSmLkBwEdOTo6uu+46z/cA6BfxFuzTbkl8Ap5hhmK/iHaZEzurAED6GRp/iQDEjclk0v/+7/+muhlAWqFfxE/QT7vLy7V86lTNXb1anQ7H0dv4BDztDdV+Ec0yJ3ZWAYD0w24pAAAgKUJ+2t3UpB81NGhpZeW/b+v/BPyQzZbsZgIRsbMKAKQfwg0AAJAU4T7tXt/crKrSUp/b3J+AR3LIZtP7Bw5oc2urth48SCCChGNnFQBIPyxLAeCjs7NTY8aMkSTt3bt3SBSIAwaLfhEfkT7N7nY6Y34MRR1TZzj3i4HsrAIASCxmbgAI0NXVpa4oPi0FhhP6xeBF+jQ7Lzs7psdEKurIDI7EG679YoTZrAdra1VbUeFzu3tnFeptAEDyMXMDgA+z2axPPvnE8z0A+kW8hPu0u9pqVUNrq89tkT4Bp6hjag33fhHtzioAgOQg3ADgIysrSxV+n0QBwx39Ij7cn3ZfV1/vE3DUlpdreVWV5j7//L9vi+ITcIo6phb9IrqdVQAAyUG4AQAAkibUp92S9PbChTF9Ak5RRwAA4Ea4AcCHw+HQqlWrJEmLFy+W0WhMcYuA1KNfxFeoT7tj/QScoo6pRb8AMtPBbdvkNBjUu39/qpsCxJXB5XK5Ut2IZGpvb1dxcbHa2tpURBV1IEBnZ6cKCgokSR0dHcOq+j0QCv0ife1obw9c5tK/pGVCYWHqGjYM0C+AzOIeB3nLM5u19f33ZbVaU9QqIH6YuQHAR3Z2tr7whS94vgdAv0hnFHVMHfoFkJnGnHee9r72mh5//HGdd955BBsYMpi5AQAAAABDnHscNPGaa/TxI4+osbFRU6ZMSXWzgLhh5gYAAEiIQzabZ0ZFicmkMewsAQAAEoRwAwAAxN2O9nZdt2aN6puaPLfVVlTowdpaTWDmJAAAiLOsVDcAQHrp7OzUMccco2OOOUadnZ2pbg6QFiL1i0M2m94/cECbW1u19eBBHbLZUtDK9HHIZgsINiSpfvt2XVdfP+zfn6GCvxcAgHTCzA0AAfazNRgQIFS/YIZCoD1dXQHBhlv99u3a09XF8pQhgr8XAIB0QbgBwIfZbNY//vEPz/cAQveLSDMUnp4zZ1gN4t01NvZFmJnR1tOTpBYhkfh7AQBIJ4QbAHxkZWXpM5/5TKqbAaSVUP2CGQr/5j2D5YX588MeW5ybm6RWIZH4ewEASCfU3AAAYIAizUAYLjMU/GewNLS2qtpqDXpsbUWFxubnJ7N5AABgGGDmBgAfDodDjzzyiCTpmmuukdFoTG2DgDQQql9EmoEwXGYo+M9guaexUU/NnStJWt/c7Lm9tqJCD86ePWxmswx1/L0AAKQTg8vlcqW6EcnU3t6u4uJitbW1qWiYFnoDwuns7FRBQYEkqaOjQxaLJcUtAlIvVL84ZLPpqhdfVP327QGPqa2oGDY1Nza3tqrqiSd8brMYjVpaWamq0lIVm0w6xmzW2Pz8YfF+DBf8vQAyi3scNPGaa/TxI4+osbFRU6ZMSXWzgLhh5gYAH9nZ2frsZz/r+R5A6H4xwmzWg7W1uq6+3ifgGG4zFILNUOl0OLSyoUGStOXaa3XSqFHJbhYSjL8XAIB0QrgBwEdeXp7+8Ic/pLoZQFoJ1y8mFBXp6TlztKerS209PSrOzR12MxTG5uertqIi5AwWamwMTfy9AACkE8INAAAGaYTZPKzCDH/MYAEAAKlGuAEAAAaNGSwAACCVCDcA+Ojq6tLJJ58sSfrXv/6lfKaTA/SLKA33GSzDDf0CyExHWlokSa2trSluCRBf7JYCwAfV74FA9AsgEP0CyCzucZAkyWCQKTdXH3zwgaxWa2obBsQJMzcA+MjLy9Nf/vIXz/cA6BdAMPQLIDNZ589XblGRPvrd77R//37CDQwZhBsAfGRnZ+vMM89MdTOAtEK/AALRL4DMNPLUU5VNIIkhKCvVDQAAAAAAABgMZm4A8NHb26tnnnlGknTllVcqJ4d/JgD6BRCIfgEASCcUFAXggwJxQCD6BRCIfgFkFvc46LTbb1d2Xp4aly9XY2OjpkyZkuqmAXFBxA7AR1ZWlmpqajzfA6BfAMHQLwAA6YRwA4APs9mstWvXproZQFqJtV8cstm0p6tLbT09KjGZNMZs1gizOYEtBJKPvxcAgHRCuAEASCuZHgzsaG/XdWvWqL6pyXNbbUWFHqyt1QSWQwIAACQE4QaApMr0gSsSK9HBQKKvv0M2W0D7Jal++3ZdV1+vp+fM4XoHAABIAMINAD66urp05plnSpLeeust5efnx+25+UQb4SQ6GBjM9Rdtv9jT1RXQfrf67du1p6uLcANDRiL/XgAAECuqPwHw4XK59K9//Uv/+te/FM/NlCINXA/ZbHF7LWSmaIKBgRrs9Rdtv2jr6Qn7PJHuBzJJov5eAAAwEMzcAOAjLy9PL7/8suf7eOETbUSSyGBgsNdftP2iODc3bDsi3Q9kkkT9vQAAYCAINwD4yM7O1vTp0+P+vHyijUgSGQwM9vqLtl+Mzc9XbUWF6rdvD7ivtqJCY5m2jyEkUX8vAAAYCJalAEgKPtFGJO5gIJjBBgPJuv5GmM16sLY24DxqKyr04OzZzE4CAABIEGZuAPDR29ururo6SdLcuXOVkxOffyb4RBuRuIOB6+rrfa6TeAQDg73+YukXE4qK9PScOZ5dWYpzczU2P59gA0NOov5eAAAwEAbXMKsA1d7eruLiYrW1tamI3RmAAJ2dnSooKJAkdXR0yGKxxO25d7S3hxy4TigsjNvrILN5b9caz2BgMNdfIvsFkKnoF0BmcY+DrF/8orJyc7X9t7/V448/rkmTJgUcO3r0aFmt1hS0Ehg4InYAPrKysnT22Wd7vo8nPtGGP+8go8Rk0hizWSP6v+JtMNdfIvsFkKnoF0Bman7ssaPfGAxauHBh0GPyzGZtff99Ag5kFGZuAABSYmd7u/78yScqLShQt9Mpc06OWjo6dFFFhSxGY9DQAwAADIxn5sb8+bKMH68ci0W5JSUBx3Xt2qUt992nxsZGTZkyJfkNBQaImRsAgKTwnqVRlJsru9OpZ7Zu1frmZs8xs8rLdc748fro8GF19vbq7d27ZZB07rHHKi87W6PMZoIOAAAGYeSpp6okyFIUINMRbgAAEm5He7uuW7NG9U1NkqQVVVXa3NLiE2xI0tqmJn1j/XpVlZVpZUODasvLdffMmfr91q366VtvqdPhOFono7ZWE1Iw+y7UMhoAAACkFgskAfiw2Ww688wzdeaZZ8pms6W6OchQh2w2vX/ggDa3tupfBw7opU8+0RstLZ77q0pLtc4v2HBb39ysqtJSSVJ9U5OWbtigYwsL9dTcubIYjarfvl3X1dfrUBKvT5vNpslTpqjilFM06Te/UdUTT+ikhx7SVS++qB3t7UlrB5BO+HsBAEgnzNwA4KOvr09vv/2253sgVv6zNCSptrxcGz7/ec1bvVp7u7rU7XSGfLzFaNRos1kvzJ/vqcVxfHGxvvf661paWamVDQ2q375de7q6kjZr4kBnp97729+O/uBVqsodtDw9Zw4zODDs8PcCAJBOCDcA+DCZTKqrq/N8D8TikM0WEGxIR2dg9LlcevGyyzT9mWeUl50d9PEWo1FPzZ2r2954Q2v9wpF7Z87UPptN08rKtKmlRUccjoSei7fDTqf05S8f/cGv7ckOWoB0wd8LAEA6IdwA4CMnJ0dz5sxJdTOQofZ0dQUEG27rmpv1XbtdSysr1dDaqmqrNaDmxtLKSv2isTFgyUp9U5OWeNXiqLZadc1nPpOw8/DX2dcnhSm+1tbTk7S2AOmCvxcAgHRCzQ0AKeVdm2HrwYNJraOA+Is0yD9kt6uqtFT3NDbqpspK1VitPvfPmDAhqloc65ubtXj9+qRdL8W5uYO6HwAAAInFzA0APpxOpzZs2CBJmjlzprJDLB+Ih6C1GVK4EwYGL9IgPy8721NvY39Xl+6eMUOH7XYV5ubKnJOjnUeOhH28d62OZC4HGW0yqbKtTY179kgnnCBl/fuzgdqKCo3Nz094G4B0k8y/FwAAREK4AcBHd3e3amtrJUkdHR2yWCwJeZ2QtRko0JjRxubnq7a8POjSlGqrVQ2trbrixBP1zqJFWrxunb68Zo3n/tqKCv30/PPDPr9/rY5kLQcxGwxq/NGPjv6wcqXUH+LUVlTowdmzuVYxLCXr7wUAANEg3ADgIysrS5MnT/Z8nyjhajNQoDFzjTCb9UBtra5fs8ZneUm11aqbKiv14HvvafFpp+maP/85aLB1xac+pVnl5T7FRL2fo6G11ee2ZC0HcfcLZ1+fHlu0SPbsbBXn5mpsfj7XKYatZP29AAAgGoQbAHyYzWa98847CX+dSJ+4H3E4dMhm056uLrX19KjEZNIYs5mBZAaoKC7Wg7Nn6+O2Nh3s7lZedrYaWlv14Hvv6b6aGrXb7SGDrZs3btTfFi3SknXrfI5xhyML+ndmkJK7HCRZ/QLIJPQLAEA6IdwAkBLhPnG3GI0aYTLpqro66nFkqPLiYhXl5nrCqYWTJmlsZaVGmM3a7Df7wlunw6HDdruenjvX81hLTo42tbZqQV2dOvu3f2U5CAAAALwRbgBIibH5+aqtqFD99u0B9909Y4YW+31yL8WnHgezQaI32PdqRIjjIy0lKTQaAx47vqBA540fr7aeHpaDAAAAIADhBgAfNptNF110kSTpz3/+s8wJGkCOMJv1YG2trquv9wk4aisqNK2sTDfU1wd93GDqcbA7S/QS+V6FC7ZCLTUJFZREIx6BVrL6BZBJ6BcAgHRCuAHAR19fn1555RXP97GKZSA5oahIT8+Z4zne/Yn8B4cPh32NgeyQwe4s0Uv0exUu2Ir3UpN4hTSD7RfAUES/AACkE8INAD5MJpOeffZZz/exGMhAMtgn8sVdXWFfZyA7ZLA7S/Ti8V5FCrlCBVvx/B3EM6QZTL8Ahir6BZCZDm7bJrvTGfJ+W39trC1btkiSRo8eLavVmpS2AYNBuAHAR05Ojj73uc/F/Lh4DiQHsmwhkkizPQYyG2SoGux7FW3INZilJtGIZ6A10H4BDGX0CyAzNT/2WOSDDAYtXLhQkpRnNmvr++8TcCDtEW4AiIt4DiQTsWwh0myPgcwGGaoG816l0/IfAi0AAAJZ58+XZfz4sMfkWCzKLSlR165d2nLffdq/fz/hBtIe4QYAH06nUw0NDZKkqqoqZWdnR/W4eA8k471sIRGzQYaqwbxX6bT8J56B1kD7BTCU0S+AzDTy1FNVMmlSqpsBxB3hBgAf3d3dOvfccyVJHR0dslgsUT0uETMj4rlsIZlFLDPdYN6rdJotEc9Aa6D9AhjK6BcAgHRCuAHAh8Fg0AknnOD5PhzvopGFubn6TW2tbn75ZXU6HD7HpcvMiGQUsYy3eGxjOhADfa/SaflPPAOtWPoFMFzQLwAA6YRwA4CP/Px8ffjhhxGPC1o0srxcdZddprnPP+8JONJtZkSii1gOljvMOOJwaITJpMXr1g16G9OBGsh7lW7Lf+IVaEXbL4DhhH4BAEgnhBsAYhayaGRTk2Qw6N1Fi7S/uzsjZkakE+/AaEVVlRpaWrS+udnnmFQU5oxFOi7/SfdACwAAAINHuAEgZpGKRjr6+jS1tDTJrcps/oFRVWmpVvYX6vOX7MKcscrE5T8AAADIbIQbAHx0d3fr8ssvlyT9v//3/5SXlxdwTDoVjRwq/AOjbqcz7PHu9/iQzaZ9XV0yZGXJ5nDocE+PRphMGm02q7SgIKFtDifRsyWSXYskmn4BDDf0CwBAOiHcAODD6XTqT3/6k+f7YNKpaORQ4R8I5UXYUrE4N1c72tv1zZdf1vfOOUc3r12rdV5LWGqsVt1fW6uJJSWJaG5KBa33kuBaJNH0i3SRqiK0GH4yqV8AAIY+wg0APnJzc/Xwww97vg8m3YpGDgUlublaUVWlqtJSdTudGpmXpwdmzdKyjRsDd58pL1exyaRr/vxnLZkyRTdv2OATbEjSuuZmfa2+Xo9efHFKZ3DEW8h6LwmuRRJNv0gHqQh+MHxlSr8AAAwPhBsAfBiNRl1zzTVhj0nHopHxkqpPvU05Odrc0uJTZ6O2vFx18+dr7urVnoCj2mrVqpoatdvtqm9q0o/POy8g2HBb19ysfTbbkAo3ItV7SVQtkmj6RaqlKvjB8JUJ/QIAMHwQbgAYkKFYNDJVn3ofstn01fr6gJCivqlJLkmNCxdqd1eXLEajjFlZKjAataOjQ5LUHqn+id2eqGYHFY9wKNxzUO8ltFQFPwAAAOmAcAPIYImYZeB0OvX3v/9dknTKKacoO0zth6G0xWYqP/UONyhd29SkXZ2dqn72Wc9ttRUVWlVdLYvRqBKTyWc5izknR5taWnRPY6M6HQ4Vm0wJaXMw8QiH/J/DYjTq7hkzNK20VJ29vcrPydGKqirP+flLVL2XWPpFqhD8INkyoV8AAIYPwg0gQyVqlkF3d7dOP/10SVJHR4csFsug25oJYv3UO9pgKZrjIg06D3Z3B7Rn8fr1+uXMmTJmZwcsZ6m2WvXU3Ln6zbvv6pg4BDLRnEM8wiH/57AYjXpq7lzd29ioG+rrPcfNKi/X5quv1geHDik3O9sT5pwzfnzC6r1kQr+g0C+SLRP6BQBg+CDcADJQImcZGAwGlZWVeb4fLmL51DvaYCna4yINOoPtnFK/fbt+fsEFQYuJrm9ulkHSb2bPHnS9jWjPIR5LIvyfY2llpe5tbNR6v/Nb29SkmzZsUFVZmVY2NKjaalXdZZfphJKSoKFLPGY3ZUK/oNAvki0T+gUAYPgg3AAyUCLX1ufn52vXrl2DaV5GivZT72iDpVgCqHCD0mqrVQ2trUHb1NbTE7aYqL2319PmgQzwYzmHeCyJ8D+mqrTUZ0aKt/XNzVpaWen5Pttg0CMXXeRzTDxnN2VCvxjKhX6RnjKhXwAIdHDbNtmj3L7Z1v//IFu2bAl5zOjRo2W1WuPSNmAwCDeADMTa+viL9lPvaIOlUMdZjEadOW6cdnR06IPDhz1hQ9BBaXm5lkyZogV1dUFfz2I0hj2nIw7HoAb4sYRo8VgS4X9Md4T/8fK+v76pSVsOHlRvX58mFBUN251DhmKhXwBAfDU/9lhsDzAYtHDhwpB355nN2vr++wQcSDnCDSADpfva+lRtpzoY0X7qHW2wdMThCCj0+fbu3Tpz3Djd9fbbvlu+VlTot7W1AYPSYpNJX1u7NmjhzNqKChVGCDdGmkwRB/iS4rIzSTyWRPg/R7DlON787z/Y3e05r0TVUMkEQ6nQLwAg/qzz58syfnzUx+dYLMotKQl6X9euXdpy333av38/4QZSjnADSAOxDqwSuba+u7tbX/ziFyVJjz32mPLy8mJ6fKq2U42HaD71jjZYGmEyqcGv0Oes8nJdcOyxActM6rdv11f6B+UnjRrlc9991dXqdjqDBi4FOTlhrwO706k3WlqC7qbyv++9pwPd3Vq8bl3I31UsIVo8lkT4P0dDa6uqrdaAmhtS8OU6ednZnuAi3jVUBtsvgKGIfgFkppGnnqqSSZNS3Qwg7gwul8uV6kYkU3t7u4qLi9XW1qaiNB9oYXgYaBiwo7095EByQmFhzO1wByy7Dx/WjBNOkBR79ftDNpuuqqsL+ol5bUVF2iwFGMyn9IdsNl314oshAwX3bIhQ70O11eophOlvy7XXBoQb/u31D1zCXQe7Ozu1u7MzoChntdWqn5x/vla89lrY35WkiOcaroDnQJdEuJ/jiMOhESaTFq9f79OGaqtVN1VWakFdnWdWi/f72nD11SrOzdWkhx8O+Rru9zraa7azs1MF/cVZ2RUCOIp+AWQW9zjotNtvj1u4ceSTT9S4fLkaGxs1ZcqUuDwnMFDM3ABSaDB1AeK5tt4nYHE6pUsv1UmjRmlPd7eOj+F/Vgdb6DRc6BCvZQODnVkSzQyF9w8cCPk+eBfC9BdqtkG4ZQbu6+Bgd7eOOBzq6OnRSLNZBTk5GmUyafmrr2p9c7MsRqOWVlZ6ZnBkGwwRf1cnjRoV82yMeCyJ8H8O7+vc0j/zxDvYqC0v110zZuj/ffCBLEajpy/Es4ZKbm6u7rvvPklSLluqApJEvwAApBXCDQxp6b6OfrBhQDwGkgEBS3a2dM45el/Sf778ckyzLQZT6DRU6PDb2lq5pKgCiUi/73gVmYwULEV6H0IVyhxorZQOh0NfD7K85L7qajW0tspiNOqpuXN1b2OjZ8bIc5dcEvY53ecQ6VyT0cf8r/NRZrPOGDdOuzo6JEkNra2a+sQTqiotVd1ll3naF88aKkajUYsXL47L+aT7v0tAtOLZLwAAGCzCDQxZmVD7IR12PYnntrIDLXQaLnT48/bt+v3WrREDiWh+3/E813DBUqT3IVihzIHWSgn33i1Zt84zS8R/aUqkYp3+9TSCnWsy+ph3EFCYmytTVpZ6nE5999VXA855fXOzsrOyPEtq4llDJV4y4d8lAACATJSV6gYAiRDpE/pDNluKWuYrHXY9CQhQ+vqkffuOfvX1xRSwuJcCBBNu8B4udCi1WCIGEtH+vpMVJoV9H8rL1drZ6XtbDEU3/YUNbJqaVFVaqqrS0oCinO5inUHbGEXQkow+tqO9XVfV1WnSww+r6okn9JmHH9ZX165Vn6Q3WlqCPsZ9TbiNMJt10qhRmlpaqpNGjQp4j6O9Zvv6+vThhx/qww8/VF9fn6Sj78H7Bw5oc2urth48GPGcM+XfJSBawfoFAACpwswNDEnx/IQ+kRK560m0AgKU3l7ppz89+v3KlTEFLAPdMSNcqBBqCYf/Y6P5fScrTIr0PhTk5Oi88eMHXStFii6QCfYe3tPYqKfmzpUkn+Aj2qAlUh9r7ewc1NKLUEHA+uZmLXv5ZS2trAxalFWKLaSK9pq12Ww68cQTJR0tnHjQ6Yx5Bkam/LsERMu/X1BQFACQSoQbGJLSYblHNOKxfeZgBQ1Y+rfzm2m1xhywDKTQabhQIZrlE9H+vpMZJkV6H+L1u7XkhP9nvKKoSHuDzAjodDi0oK5OSysrddeMGbL19sYUtER6z7e1tWne6tWen2NZenHIZtOOjo6wM1JuDFORPdaQKtprtri42NO+615+OebaLZny7xIQC3e/AAAg1Qg3MCSlw3KPaMVz15OBCAhYcnOlH/5wUAFLrIVOw4UOrZ2dgw4k3L/vZIdJ8Sj4Gs4hm02bWlpUbbUGLDuRjp7X+IICjTKbVVteHjAY73Q49Nbu3fqvysqY2xlrH4q2aKu7JsX1kyfH9PxuAw2pIv2uLBaLDh8+LElhd8MJNwMjk/5dAqLh3S8AAEg1wg0MSemw3CMWiR4ER5J2AUu/2ooKXXTccbqwoiJiIBHt7zvV5xpPe7q6dPPGjUGXl1RbrVpVXe05rwdnz45rqBOuj1VbrWpobQ24PdLSC++lKOFmZkhHa7H4hzrJmvE00BkYmfbvEgAAQCYh3MCQlA7LPRIt3ttJpnvAEmmJRyy/71Sfa7y09fT4LC9ZWlmpbqdTednZamht1SG73XNsvEOdkO95ebmWTJmiBXV1IdscindNCnfB02AzUqqtVtVt26aqsjLdMnWq8nJyNDIvL2kh1UBnYAyHf5cAAABShXADQ9ZQ+oTeXyK3k7Tb7frqV78qSXrggQdkMpkG9XzBhApmwoUOkQKJofz7DsU9iO50OIIW11w4aZLn+3iHYVLw99yYlaXJjz6qTocjbJuD8Q4+QhU8rbZadVNlpRbU1amqtFRTS0t171//qvu8Zqkkgne/+Mk99wx4BsZwvE4xdCXj7wUAANEyuFwuV6obkUzt7e0qLi5WW1ubigY5CARS4ZDNpqvq6oKu+a+tqIhY0yCSzs5OFRQUSEpM9ftEBjNS+EF8Igb4qXTIZtNVL74YcpDtvhYS/Z4PpE3BvH/ggCY9/LDnZ4vRqKWVlaoqLVW306kTR4yQy+XStrY2GbOy1NDaqnsaG9XpcMTl2g/Hv18cdDpDzsCYUFiYkDYA6SbRfy8AxJd7HHTa7berxOsDkME48sknaly+XI2NjZoSYUkpkGjM3AAiSLcBcaK3kzQajfpp/1awRqNxwM8TTKjtPaMtNhlJuEG8QdJXkjTADyYR11E0yxwS/Z4PpE2h+Nek8J6RUltRoV9VV+uE3/426GMTvZWqf7+YYLEwAwPDXiL/XgAAECvCDSCMZH7iHa1EbyeZm5urb33rW4N6jlASGcxEGsRf8alPJW2A7y+R11GkZQ6JDsMG0qZQIgUjuzs7wz4+kVupBusXQ6V2CzBQifx7ASBxDm7bJrvTGfL+nJwc5Ua5zKxr1654NQsYNMINIIRkf+IdrWRuJxnv2QaJDGYiDeJvPP30kPcl8hP/eFxHkX4P4QbZiQ7DQhnowD9cMNIZoa1spZoc6TabDQAQm+bHHovr8+WZzRo9enRcnxMYCMINDEvR/M95Kj7xjkait5Ps6+tTa2urWo4c0Yp339XaHTt8nn8wsw0SGcxEGqR3h/mEIpGf+A/2Ooo06yPStZzMMCxeQgUjqdxK1d0vJKm0tFRZWVkJe610lo6z2ZA69AsgM1nnz5dl/Pig99n27tX2Z5/V448/rklR1uUYPXq0rFZrPJsIDAjhBoadaP/nPFWfeEeS6O0kbTabjj322KM/rFwpeQ1+BztrJZGD00iD9Lzs7AE/djAiXSdHHI6QAUWkWR+/mTVLN9TXh72WUxkIxFsqt1L17hfDtXBius5mQ+rQL4DMNPLUU0MWFD3yySfa/uyzmjRpEgVCkXEINzCsxPI/5+n8iXeit5PMyclRb19f0PsGM2slkYPTSIP41hD1GhI9wA93nViMRo0wmQJ2v3EHFF0OR9hZHx8fPhzxWk5lIJAIqdxKNSdneP/JTNfZbEit4d4vAADpg79IGFZi+Z/zdP/EO1HFDC0Wi15vblbVE0+EPGYws1YSNTiNNIg3uFwBv89kDPDDXUd3z5ihxevWhQwo7p4+PexzH7Tbg97ufy2nMhBIhFQU8rRYLHI4HEl9zXSTrrPZkDr0CwBAOiHcwLASy/+cD7VPvGOR6FkriRqcRhrEp2KAH+46mlZWphvq64M+rn77dvW6XGGfO9xSG/9rnZ09MFjpPJsNAACAcAPDSqz/c56On3gnY6eCdJ+1Ek64QXyqBvihrqMPDh8O+7hOhyP076G8XA39hfyCYaCJeMvkfxcAAMDQR7iBYWUg/3OeTp94J2OnArvdrlu/+U2N6+lRzcyZWue1f3m8Z60Mpy0lg11HxV1d4R9jMoWc9fHArFm6acOGoI9joBl/drtdy5YtkyTdddddMplMKW5R8g3n2WwIjn4BAEgnBpcrwrznIaa9vV3FxcVqa2tTEdvWDUs72ttD/s/5hMLC1DUsgkM2W0DhSbfaioq47VTQ2dmpgoICSdKOffvUYTAkZNYKW0r2/05ffDFk2Ob+nXqHQN6/h0y9ljORd78Y7rtChLoeMfzQL4DM4h4HnXb77WF3S2lcvlyNjY3sloKMw8wNDDvpuNQkGsnaqcBoNOr222+XJI0pKtKxCVjewJaSR0X7SXio2UOZei1nIu9+YTQaU9ya1Eqn2WxILfoFACCdEG5gWMrE/zlP1k4Fubm5+v73vx+X5wqFLSX/bbABRSZey5koGf0CyDT0CwBAOiHcADJEqncqiGd9DLaU9EVAAQAAAAwO4QaQIZK1U4HL5VJbW5skqbi4WAaDIe71MVId1MRqOBU+RXDB+gUw3NEvAADpJCvVDQAQHXd9htqKCp/b471TQVdXl0aMGKERI0aoq6srYn2MQzZbzK/hDmqCSbedPna0t+uqujpNevhhVT3xhE566CFd9eKL2tHenuqmIYn8+wUA+gUAIL0wcwOIo0R/wp+KApKJqI+RKVtKUvgUAAAAyAyEG0CcJGtr00TXZ8jPz1dPf82LnJwctUWYoTDQ+hiZsNMHhU/h5t8vANAvAADphb9EQByk0yf8g509YjAYfLb0S2R9jHQvpEnh0+TIhJom/v0CAP0CyFQHt22T3ekMep+ttVWStGXLlqifb/To0bJarXFpGzAYhBtAHAzkE/5EDOi2t7Xpq/X1cZ09kqxCpukoVYVPM2GwHy/JmvEEAACOan7ssfAHGAxauHBh1M+XZzZr6/vvE3Ag5Qg3gDiI9RP+RAzomtradP2aNVrX3Oxze6yzR3p6erRixQpJ0sqVKzOmPkYipCLYGU6D/XSa8RSJf7/ITbMdfYBUoF8Amck6f74s48eHvD/HYlFuSUlUz9W1a5e23Hef9u/fT7iBlDO4XC5XqhuRTO3t7SouLlZbW5uKhthAAanz/oEDmvTww7IYjVpaWamq0lJ1O50y5+RoU0uLvjhpkj49apSkowO6q+rqgs70qK2oGNCA7pDNpr/t3avq554LecyWa6/VSf1tCKezs1MFBQWSpI6ODlksFs9rpHN9jETZ0d4eMtiZUFgY19dKxLWRztz9JpRor9lkCNUvgOGMfgFkFvc46LTbb1fJpElxec4jn3yixuXL1djYqClTpsTlOYGBSvnMjVWrVulnP/uZdu/ercmTJ+uXv/ylzjrrrJDH33PPPfr1r3+t5uZmjR49WldccYXuvPNO5eXlJbHVgK+x+fm6ZOJEXXfqqbq3sVErGxo899VYrbrulFM8PyeiSOWeri4dtNvDHhNtfQij0ahvfvObnu/d0r0+RqLEUvh0sMtJ0mV5U7JkUk2TUP0CGM7oFwCAdJLScOOZZ57RsmXLdP/992vq1Km65557NHv2bG3dulVjxowJOP7JJ5/Ud7/7XT300EM6++yz9cEHH+iaa66RwWDQXXfdlYIzAI4aYTbrFzNn6ro1a7Teb1nIuuZmfXXtWs+n7vEa0HkPavOys1VRVCSL0ahOhyPo8dHWh8jNzdXPfvazqI4dLqIJduKxnCQdljclU6pqmgwE/QIIRL8AAKSTrFS++F133aXrr79e1157rU4++WTdf//9ys/P10MPPRT0+DfffFPnnHOOvvCFL6iiokK1tbVasGCB/vKXvyS55UAgW29vQL0LN/en7lJ8BnQ72tt1VV2dJj38sKqeeEKnPfqobnntNdXNny9LkE/PasvLY6oPcchm0/sHDmhza6u2HjyoQzZb1I8djiLVjoj2/Yvl2ojmNdP99+iuaRLMUC9WCwAAgPhKWbjR09OjxsZG1dTU/LsxWVmqqanRpk2bgj7m7LPPVmNjoyfM2LZtm/70pz/p4osvDvk6drtd7e3tPl9AIkT7qXukAZ3FaNR7+/bptZ079fd9+9Ta0eFzTKhB7dqmJt25ebPumj7d5/Yaq1UP1NZGvVShua1Nn//DHzTpwQdV9fjjOumhh3TViy9qRxR9J90H04kSaTlJ05EjUb0fsQz2I73mro4OXfPnP+vxLVu0r6tLf9+/X+/s26emtrboTioJ3MVq/c85HYvVulwuORwOORwODbNSVUBI9AsgvTEOwnCTsmUp+/fvl9Pp1NixY31uHzt2rN5///2gj/nCF76g/fv369xzz5XL5VJvb6++9rWv6ZZbbgn5OnfeeafuuOOOuLYdCCbaT93D7T7yq5oafX3dOtVt2+a5vcZq1f21tZrYX7U67KC2qUm3nX22Xpg/X91Op0bm5emEkhIVGo16/8CBiHUZDtlsuvaPf9SGRYuO3rBypZSbe3Q2wJo1enru3JADzmQukUi3OhORgq2PDh/W5/74x4jvRyw700R6zab2dl03eXLQGjD/O3u2KoqLozizxIulpkkqdXV1UTgR8EO/ANIb4yAMNykvKBqLjRs36sc//rF+9atfaerUqfroo49000036Yc//KG+973vBX3M8uXLtWzZMs/P7e3tmjBhQrKajGEklm1Dgw3oLEZjQLAhHa3Z8bX6ej168cUqLSiIqibHMfn5nkFih8MRsANHqEF2a2enNuzYEfQ565ua1NrZGTIUSdaWngMNURIZiEQKtvKysyVF935EO9iP9JoleXm6/Y03gteAqa8PG1Ql23AtVgsAQCIxDsJwk7JwY/To0crOztaePXt8bt+zZ4/GjRsX9DHf+9739MUvflHXXXedJOmUU05RZ2enbrjhBq1YsUJZWYGrbEwmk0wmU/xPAPATy6fu7uO9b3tv376AYMNtXXOz9ttsarPbZeofKIcyKi/Ps31muNBhyfr1un/WLLXZ7Z4Bv9PlUn5+vrp+8IOjB/rV7zjY3R30NaPZ5cN93GDChYGGKImeVRIu2Kq2WtXQ2urT1kg74kQz2A8bppWXy5SdHRBseNrQ1DSgXXmGs/z8fB06dMjzPQD6BZDuGAdhuElZuJGbm6vKykqtX79el156qSSpr69P69ev15IlS4I+pqurKyDAyO4f6LHWE+lgMFPs2yJs5drU3q55q1drRVWVqq3WoAPXaOsyWIxGXXfqqbrmz3/2HfCXl+vpefO0oK4u6K4rBSFmC0SaTXKwu1s3bdgw6HBhoFulJnpWSahgq9pq1U2VlVpQV+dzfDy2OA0Xpq2qrtbf9+8P+/hDEa43+DIYDCrpXxoG4Cj6BQAgnaR0WcqyZcv0pS99SWeccYbOOuss3XPPPers7NS1114rSVq0aJHGjx+vO++8U5I0b9483XXXXTr99NM9y1K+973vad68eZ6QA0i1gU6xL44yWb+nsVFPzZ0rST4BRyx1GZZWVurexsaAgOSNlhZdceKJWnPFFWrt7JQ5J0ebWlp0T2OjqkpLZQ7RzyItkeju7Y05XAi2jORIiG1u3YKd70ACkYHwDrYOdHfrUHe3GlpbgwZF8driNFSYFs1rBNtVBwAAAMhUKQ03rrzySu3bt0+33Xabdu/erdNOO00vvfSSp8hoc3Ozz0yNW2+9VQaDQbfeeqt27dqlY445RvPmzdPKlStTdQpIsFQWjkz2ax9jNqu2vDzoQLy2vFyN/Uu4Oh0OLair09LKSi2trNSIvDyNysuLqS5DVWmpT5FJ6ehg96m5c3X35s16+ZFHjt44c6aqjz9edfPnK9tgkDHI0i8p8hKJkHU8QoQLoZaRrKqulsVoDDqrJNT5RruLTTy4g61DNpuuevHFqOqvxOs1/ZUXF6vGag26PXG11aocgyFubXBLt0Kv8dTT06Mf//jHkqRbbrlFuXEKqIBMRr8AAKSTlBcUXbJkSchlKBs3bvT5OScnR7fffrtuv/32JLQMqTaQOgnxGlwlc+cPt7zsbC2fOlVOl8tnRkW11arlU6fq1Z07gz6uz+WSIcRANVTo0O10Bhzrns3x8vbt0tq1R2+cPl3rm5uVZTDo59Ona0ReXtDXCbdE4hczZ6ryscdCnrd/uBBuGcni9et194wZuqG+PuB5QoUG0e5iE0+x1l8ZjFDXvNPp1MrzzlPW66/7vJfupTLZcQ43UtFnksnhcHgqzn/rW99iEAeIfgEASC8pDzeAYAZSJyFeg6tk7vzhbU9Xl+auXu2ZkdHtdCovO1sNra2au3q1nu5fiuKeYeG/xWewcw01yB4RZAmMZzZHVpY0bdrRG/tnaqxtapLBYAh73qGWSOzt6go500LyDRcO2Wza0dERdhnJzy+4ICCwCRca+Ac8FqNRSysrVVVaKknq63/deP9Ok7HFabhr/pj8fH3r1Vd1Zmmpbpwyxed6evC99/TIhRfGrR2p6jPJlJOTo69//eue7wHQLwAA6YW/REhLsdZJiOfgKlk1Gvy19fSo0+EIWC7i5p5tEapeRqhznVBUpEcuvFBbDhzQQbtdednZ6urtDShK6pnNkZMjXXZZwOuHCyjcQi2RiGaLXPdA/frJk8O+Rmdvb0yhgXfA88auXVEHQ/HgvUxlT1eXPjh8WCU2W1yWa0Rzzd9XXa3r6usDzzXK2SPRzoRKVZ9JJpPJpFWrVqW6GUBaoV8AANIJ4QbSUqx1EgY6uIpX0cp4iLQ8YmT/kpBg9TLcQp1rm92u6uee8/zsnv0h/bsoaV6EorwDXb4RzRIN74H6jVOmRGxHrEVb3bMoDnZ36+vr1kUdDMVDopZrRHPNnzRq1IBnj8TS7kh94kB3d0JmxwAAgNgd3LZN9iBLlAfC1r/d/ZYtWwLuGz16tKxWa1xeB4gG4QbSUqx1EgZSNDKeRSvjIWxRzooKTRo5UluuvVb7bLawzxPsXP1v8y9KWmwyqcxiCfv6xSaT3j9wYED1TCIt0fAeqDe0tka91W0sRpjNSZ9h4D+7wntJzLv79umIw6HSAS5VifaaH8juPbHOhIrUJw51d+uqF1+MGOgM5YKkAACki+YwtdAGxGDQwoULA27OM5u19f33CTiQNIQbSEuRBvr+A9xYw5B4F62Mh0gzHEoLClRaUCAdOBD2eYK9F8Fu814Cs+XaazVxxAg9WFura/74R2340peOHvTDH6r2xBP165oafa2+Xn/cts23XTHMPgg3yPYeqMey1W2skrlziuQb2sRSKyUaiSyUGmsIFK6/VlutamhtjTg7Jt0LknZ2dqqkpESSdPjwYVksltQ2CEgD9AsgM1nnz5dl/Pi4PV+OxaLc/n8L3Lp27dKW++7T/v37CTeQNIQbSEux7jYRaxgSafAWa9HKeImmCGWs5xrLYyYUFel3F16oCX19kqTGhQtVOnJkQLAhxXcph/dA3H9WSbfTqRNHjNCEgoKIrxPpk/9k75ziHZbEWislkoFcBwNpdzT3h+qv7p1ZFtTVSQo9OyZTCpL29vamuglA2qFfAJln5KmnqmTSpFQ3A4g7wg2krVh2m4g1DIk0eIu1aGU8RVpGEMu5ugf7RxwOraqu1uL16yM+pmzkSO3s33a2tLRUHxw6FBBsuMVrKYf/QN17VkltRUVUg9vtbW36an192E/+ExkIBOMdlgykVko4idxudiAhkLu/Nh05oo8OH/bszLKgrs5niVewvpcJBUnNZrOnX5jTIGgB0gH9AgCQTgg3kNZiqRcQSxgS6+DNYDBE3+gkiOZc/af5W4xG3T1jhn5+wQXq7O0N+f5kZWVpvNdUxWQs5RjsQL2prU3Xr1mjdVHMivj5BRdo++mny2AwaFNLi+5pbNQ548fHHAhEUx/CO0zpjlC462B3d8zPn6jtZgcaArnrmnzuj38M+dzB+l6ylwsNhH+/AEC/AACkF8INxEW6FAKMNgyJNHjLMhj0RktL4AA4Tdb/S+HPNdg0/06HQzfU10c9E8ItWUs5BjpQP2Sz6ePDhwOCDbf67du1t6tLHQ5HYE2H8nL9bdEiZUva3dmpLocj7LXrvs4PdnfL7nRqfXOz7mlsVKfDEbQ+hHdoE2k3mm6n07OjSCz1JxKx3exgwqaBBCPJXi4EAACAoYdwA4OW7oUAgwk5eCsv1/KzztKUxx7zTKWvtlr11Ny5WlBXl1br/8OJdZq/dziVbzDo+YceUr7RqJtuuimpSzkGsrPHnq4uHbTbwx7jdLmC13RoatLX167V1LIyn2Uwwa7dYNe597URqj6E9za0teXlQX8v1VarNjQ3q6y/GF+s9ScS0QcHGjYNJBhJ9nKhgejp6dG9994rSbrpppuUS+AC0C8AAGnF4HK5XKluRDK1t7eruLhYbW1tKkrTgXcmOWSz6aq6uqADtlhnCKSC96C+0GjUG7t26eaNGwO2ga22WlXVPwDecu21OmnUqBS1ODqbW1tV9cQTIe9vuPpqTS0tlRRkYNzTI61YIUnq6OiQxWI5ekyIweqEwsKEnYe/YDOEPmpr057OTs1bvTrk49790pc0+Xe/C3n/C/Pn+zze/9oNd517XxuSwl4fWw8e1OJ163yKinoX3Vz/+c+rODdXkx5+OGRb/Z8/Xfug9+8qmmAkXa6xUDo7O1VQUCDp3/0CGO7oF0BmcY+DTrv99oQXFD3yySdqXL5cjY2NmjJlSkJfC3Bj5gYGJRMKAYbjPVPg/QMHdMPatUGPW9/crKWVlZLit/4/kUt5op3mH3SXiqwsqbJSZQUFOuJwyKLE1XaIRajZCauqq/WnbdtUbbUG7EQiHZ2N4x9W+fOvh+F/7Ya7ztc3N+u/L7hA0tFtbMNeHy6XqsrKPLvA+BfdLM7Njbn+RLr2wVhn4aTDNRZOTk6OvtS/RXJODn86AYl+AQBIL/wlwqBkQiHAaPW5XHph/nx1O50y5+R4am24B8buAXA81v8neilPtNP8gw6Mc3Kkq65Si6TDTqfG9d88kCUj4QQLd9xt8g98/EMYi9GopZWVqiot1fsHD2rO8cfrouOO0y2vveYTcNRYrXqgtlbdEbYqPK6oSM9dconP79372o10HX/S1qaGlhY9NXeuSsJcH2Py8/XW7t1Bd02JdvmF//UXax9Ml/o4wcT7Gosnk8mkRx55JNXNANIK/QIAkE4INzAoQ6UQ4I72dt388ssh6yl0OhzKy86Oy/r/oLMlFL6mQqzPv6erS7dPm6bvnnVWYNFLr7oHqQqngu3kUnfZZbqzoSFo4NPlcPgc+9Tcubq3sdEnJJh7/PH6yfnna09Xl2y9vRphMukYs1nFubkyZWerxmoNWnR0Vnm5XJKyDQaNy8/XJRMnqqa8XPk5OZ4Cn5Gu47zsbK1vbpZB0qMXXxzyuGjrUcRSfyKWPpiJ9XEAAACAaBBuYFAyoRBgJKHCBvcMgKWVlWpoaVFrZ2fM24UGe60dHR26fvJkfaOyMmB2SKRin5E+aQ86eC0vV+MXvyi5XBrjN80/FeFUsPd7aWWlfrRpU8CyEnfgc/f06T7H3tvYGHBs3bZt6nE6dcc552i/zaaXd+zQPY2NenvhQhkkfaOyUi7J53G15eVaPnWq5jz/vB6cPVvfefVV3/v7B/7hrvNqq1UNra2SpHXNzWqz21XavwY9mEjLL2ItyBltH0x0qAYAAACkEuEGBmUwW0ami0j1FG6ZOlXXfOYzGpWXN6jzibTbhjvg8J4tEcsn7SEHr01N+saGDUEHr0EHxj090g9/qJysLBVcc82AzzeUYO93VWlp0KUa0tHBd69X3eOwxzY16bazz5YknTZmjJ6ZN099Lpc6e3u1oK5OSysrtbSyUrnZ2Rqbn6/Nra2au3p1yMDEe+Af7Dr3LgbqFs1sl0jLL2KpPxFtH0zX2hyZorOzU+PHj5ck7dq1i8KJgOgXAID0QriBQUv3QoCRRBqMmo1GnTBixKBeI5rZIe4Be9hinwr9SftABq+hBsbq7lZv//3xFuz99i/o6a/T4fBsoxrp2EPd3b47n5SXa1VNjSR53uMX5s9Xb1+fvtpfQDZSuLKnq0snjRqlp+fM0Y6ODn1w6FBAMVC3eM12iaX+RDR9MFlLkNK5psdgtbW1pboJQNqhXwAA0gXhBuIinQsBRhJpMDrCZBr0a0SaHeLeiSVisc9+wcKKgQ5e/QfGhTk56po3T8V5eTIn4Hca7P3Oy84O+5gRJpN+UV2txevWRTzWX31Tk/7r5ZfVuHCh9nd3a3dnp0otFtm8ioxGCkzc790Is1ntPT164J13gtbvCLYUK1mD/Uh9MBlLkIZyTQ+z2awPPvjA8z0A+gUAIL0QbmDYS0bdkEjBQ7fTOehin/6DU+8dRbqdTp8Cmf4CBsbHHBP2tQcj2Pvd0NoaeivX/t/B3q4uVZWVaZzF4pnF4c+7/oWbxWjUdZMn68YNG7TW6zF/W7TI832kwMSUna2tBw+qKDdX31i/Pmj9jhqrVQ/MmuV5Hw/ZbDrQ3a3F69alxWA/0df5UK/pkZWVpU996lOpbgaQVugXAIB0kpXqBgCp5l6aUVtR4XN7POuGRPpU/MQRI/T0nDmaUFgY9WP873cPXqV/7yjS0NKieatX63N//KNO/d3vdFVdnbaneApxsPf7nsZG3TptWtjfgXsb1enPPKMlU6ao2mr1Pba8XDdVVup/33tPK6qq9ML8+XrukktUf8UVau3o0JstLT7H23t7Pc/hDleCqbZa9fsPPtBJDz2kLQcP6o/btmlBXZ2qyso8r/HC/PmaWlYmW//ylB3t7fr9Bx/oa2vXhhzsH7LZBvL2DViir/NoZhoBAAAAicLMDUCJrxsS6VPzCQUFA94Fw827fsaZ48YFL5DZ1KTr16zRg7Nnq7y4OGhbHQ6HfvOb30iSbrjhBhmNxhjONLhgSzOCvd9Pz5mj1s5OHbLbZTEaVZibK6PBoPcPHFBbT4/umj5db7a06Lo1a7T4tNP0k/PPl0FSV2+vinNzVbdtmx6+8ELd9fbbPjU05hx/vDZeeaVnm1hzTo76JN3UvxzonsZGPTV3riTf2Rj+BUMPdndLOloDJFiNjqrSUuUbjbqhvl43TpkSdCaKFL6AZyKXsSTyOk/VtsLJkoh+AWQ6+gWQmQ5u2yZ7hCW5g2Xrn0m7ZcuWuDzf6NGjZQ3xQRTgZnC5vLYhGAba29tVXFystrY2FWX4GnBklh3t7SF3tPCesTGQx3gPiAuMRjldLk3+3e9CtmX95z+v0485JuigtrOzUwX9W5l2dHQMuvp9LHUYvI91zz75RWOjp76FxWjU3TNmqKq0VO12u3r6+rS+udmzne6s8nLdMnWq5q5e7Sny6X6e37z7riaPGeNZpmMtLNQ/9+/XjiNHNGXsWDn6+jShsFB2p1OHu7tVkpenP3/yic9WvS/Mn+9TrNTfC/PnK99oVPWzz+q5Sy7R5/74x5DHNlx9taaWlg74vUo37x84oEkPPxzy/i3XXquTRo1KYoviK979AhgK6BdAZnGPg5LGYJDiNNTMM5u19f33CTgQFjM3gCQZyKfm0Twm2ID4hfnzw7bFIGlnR4ekwB1RsrOzdcUVV3i+H4xY6jD4H+u/Pas7pLi3sVE31Nd7nst7O921TU3qc7l8dp9ZWlmpB959V1+dPFn3Njb6zLioLS/Xcr8wpLaiQr+YOVOVjz3mswuKFL42iLvex2ljxkiKXMfDf1lRptesSEbtmlSKZ78Ahgr6BZCZrPPny9K/jXMi5Vgsyi0pGfTzdO3apS333af9+/cTbiAswg0giQayq0y4x4QaEEfS6XBo5rPPBp0VkJeXp+eeey6m5wsllh1f9nR16Y2WFq2oqlJVaanGWSw+QYR/2OHmv52u9+4z0tGlIpJCLtORpHcXLdL+7m5PeLS3qysg2JD+vXwl22DwOS/v5StP9y9viaZI6kDfq3QUalvheNauSaV49gtgqKBfAJlp5KmnqmTSpFQ3A4g7wg0gg4UaEEczw0Aa3KyAaGpDxFKH4YjD4ZmZsbKhQc9/9rO64+yzdfHxx0uSbL29uvi443TescfqZ2+95RM++Aca3lu7djudqiotDVojQzoacDj6+nRiSYn2dHXpg8OHVZibq9/U1urml1/2eZ1Oh0MPvvee7p81S/88cEDdTqfysrPV0NqqBXV16nQ41NDaqtry8pB1PGrLy4MO9odCzYpE164BAAAAQiHcAJIgmiBgIIUkQw14o5lh4DaQWQFBa0OUl+uB2lpVeK3lLM7NDdiS1pyTo00tLbqnsdFnacZIk0nLX31V65ubZTEaddKIERphMum7/bd5v84z8+bpyhde8AkecrOz9cL8+ep2OvWpkhK9vXChXty2TZacHHX29oY9n4Pd3bppw4aA86m77DLNff55nyUr99XUqCAnR7/82988MxS8zzHbYNAXTz5ZN65frwV1dVpaWekJXsYXFGicxaLS/jXq3mLdHSddDWR2EgAAADBYhBtAgoUKAn5RXS2DpGPMZnU4HAMqJBlqwNvpcGhBXZ02XnmlbpwyRd1Op44rKtLqjz7yzDDw5h2SdHV16YQTTpDT5dKzr7+ucSNG+AQtIWtDBNmJZWx+vuouu0w/2rTJZ+ZEtdWqussu81maYXc6fZaYvL5rl57ZujXoUhKX5FNXQ5KyDQafYp/VVqturapSWUGBOoIsMfHW3dsb9HxkMAQsWRlhNmtne7uWn3WWnH19amht9ZlxIvUXPp0+XXeed562t7dLklo7O3XamDFBgw33ezWUa1Zkuq6uLn3qU5+SJH344YfK5/cB0C8AAGmFcAMZK15bZiZy681wQcDidetUVVam8qIi/X7r1gEVkgw3IK4qLdUfPvpIKxsaVFterjPDLM3wDkl2tLWptX/ZyvRnnpFyc1VbUaHf1tbKYjRqR0eHrp88Wd+orPTMwHCHJeuam/VxW5uKcnM9bb6zvw6Gt/XNzcrOytLTc+Z4bjviFUC462SE2kp1bVOTvjFliufnGqtVL+/YEfAakvT5T39apQUFoetflJdrg99j3eq3b5ejr89nV5NDNpu+smaN3mhp0dLKSv3k/PN1y2uv+Tx3p8OhG9auVW15ue6eMUNZBoPOKSsLe10N9ZoVmc7lcqmlpcXzPQD6BQAgvRBuICPFa8vMRG+9Ga5IpHediIEWkgw1IPZeflJbUaEHZs3STRs2BH0O71kBh2w23fjqq9LSpUfvzDn6T8Qbu3bpo8OHdefmzQHLXNw7lbgDjoPd3Z42x1Ik0ztg6Y5i73X3MbXl5VoyZYrPUhs393ucbTDopv732meJi9fOKKH4L/3xPqeVDQ2qKi3V2lDn2NSkLIMh6i1QqVmRvvLy8vS3v/3N8z0A+gUAIL0QbiDjxGvLzFi3KR3I7I5IRSCjGcRHeg7/AXGh0ShTdrYO2u16e+FCT3Cx8txzdf2pp8pgMHhmXJwzfrzPrIA9XV1au2OH5Lc92NLKSv0oxAwM9/3uWSF52dmeNsdSJHNsfr5+U1urUotF4ywW7e7sDPvYiqIivTB/vsZZLJr+zDNBdzeR/v0eX/PnP3vqXxSZTCrKzVV5YWHInVHcCo3GkG32fv5oztEt3PVEzYr0lJ2drdNOOy3VzQDSCv0CAJBOCDeGsUQux0ikeG2ZGe3zDGZ2R6QikHnZ2RHbGU0hyWAD4on9/w1V8+OdRYs0Ki/P53Ghwgj/3Ub8i4Qe319j4529e9XQ2qqF/duLxVIks8Ph8CzPWVFVJWthYcilJLPKy/WHjz5SQ0uL7poxI2w4Yc7JkcvlUqfD4TmH319yic/1HmppT7XVqjdaWlSYm+v5XfufU6TfYXFurqevHXE4NMJk0uJ16xI2W2igMvXfAwAAAEAi3Bi2Er0cYzAiDbLitWVmuOMsRqP6XC59fOiQvu43EJWinyUSriaG95asIetBDLKQZNiaH+vX+9S8kPoH7k6n9Ne/Hr1hyhQpO1uOvj6tqKpSVWnp0W1TR4zQ0g0bfAKPGqtVd8+cqR+++aanzdEWyfRv5z2NjXp23jzdWlUlKXAr1Z9Pn64dR45oammpDnd3q8Zq1bog71+N1aoCo9Fn2YjFaNQJJSXqc7m0ubVVJSaTfjNrlr6xYYP++PHHnuO8l/b8fvx4z+96bH6+Lpk4Uaccc4yqSks12mxWbXl50KCstqJC5pwcXVVX5wltGlpaAoukDmJL3nhI538P0oXD4dATTzwhSbr66qtl9JvRAwxH9AsAQDoh3BiG4rWsIxGiGWTFa8vMUMdZjEY9NXeubn75Zd04ZcqgZolEUxNDkuouu0zZWVlxLyQZ6yyXsfn5mjl+vDZ897uSpPzKSn3n7LN18qhRWvW3v2llQ4NWVFVp1d/+FjBAX9fcrJs3bNCDF17os8QimiKZ/u3sdDj0+Rde0LfPPFM/Of985WRlqaOnRwaDQeuamlT15JPqdDj0wvz56urt1TcqK+WSbwhSbbXqG5WVKsrN1T2NjZKO/m7r5s/Xt195xef1Ljn+eN01c6Z+cM45OtTdrSKTSbs6OnTdmjXqdDh83qsRZrPumjFDX6uv18qGBs/10udy+QQs7lon31i/3vNa/jNgIv0+kiGd/z1IJz09Pbr22mslSZ/73OcYxAGiXwAA0gvhxjAUr2Ud8RbtICteW2aGep6llZX6RWOj1jU36/rJk8M+R7T1FNw1MQ52d6vb6dSG5mZPEc7aigqdUFKSkEKSsc5yGWE26/7aWp19+uk6ZLfr0blzdcDh0JJ16zzBQbgB+rrmZtn8lohMKCrSIxdeqH02m9rsdhWbTDrGbPbZEjVYOzsdDt3+5pu6/c031XD11frMqFG66sUXfX5fjr4+FeTm6ornn/fU0+h2OpWXna2G1lYtqKvT7y66yBNATCgs1GG7XXeef76WeIUX102erK/V1/uEE9VWqx6cPdvze3K38ZDNpq+vXes51r3t7tLKSi2vqpI5J0cjTCaNzc/X3q4u/XHbNs9zDqQ+R6Kl678H6SY7O1sXX3yx53sA9AsAQHoh3BiG4rWsI95iGWStqq4OXrcghpkOoWYVzLRafYpjhuM/+yPczBP3jhmHbDaVWSyaN3FiQIgR70HkQGa5fGrMGL336qva29Wlb73yir4xZYrPoD/WAXq8ZuME+31NKCxUm93uU0/D3wklJXp9wQKfQEI6umRl/ec/rxc++kj3NjZGLJbqbmOw69T9+isbGrTl2ms9v+sPDh/2OS7W6ykZ0vXfg3STl5enF198MdXNANIK/QIAkE4IN4aheC3riBf3TId9NpvqLrvMs5OHf5HItp4ez0D5jZYWfevMM3Xb2WfL2denIpNJhbm5KsiJ7ZL232nEkpOjPV1dnvsbWlujrocR7cyTRO6G4T9rpNhkGtAsF2dfn/pcLq1tatINfrNXYhmgx3s2jv/vy5SdrZd37Aj5O6q2WuXo6wsINqR/L6P5RXW1bnn99aDn4t5K1rsNsYQB/n0pluspWdLt3wMAAABgIAg3hqF4LeuIh2Cf6ldbrXpq7lzPcgC3QqPRc6zFaNSUsWN1+xtv+BabrKjQqupqHbLbVZSbG9WOD+6w4ZDNpqv6lxd4F89ccNJJuvnll32KUtaWl+sXM2dqn83meY5UT+8P9l5eMnGiflVTc7QoapT1PA7ZbPrKmjWeUMM/zAg7QC8vV5/Lpa0HD2pMhPfkjV27dLC72xNU3DV9ut5sadHNL7/s+b0Ha6d3OPTW7t0yZmXpv88/X62dnT7b3FaVluqmysqjdTqCtFU6GnD0RLEdr3cbYgkDvLe37XY6VZybqy+efLKWrFsXMIvk1zU1KVn+kU7/HgAAAAADRbgxDEVb5DHRQn2q778cwN02Y3a259illZVBlxLUb9+ur61dq6qyMq1saIhpx4c9XV16o6VFPzz3XG1uafG8tsVo1F3Tp+vO889XZ0+Pevv6tGHHDlU+9pinZsaDtbU64nAEbJFqzsnxDLYHM70/0g4yod5L9+4fj1x4odrs9qjqeTTt36+3li3TFqNRj69erVKLRbPKyz3hzj2NjXpq7lxJvgU8a6xWLZkyRWc98YTnfbl92rSgr+GugeG/E01tRYXeWbRIh+x2FRqNnoH1+wcOBD33ktxcvbZzp77/5pv/fo7ycm2++mr9vw8+0IK6Or0wf37Y97bNbg97/3HFxZpQWOj5OZYwwHt7W0laUVWld/fu1dSyMt3kVx/k5pdf1iNexViTJV3+PUh3XV1dmtwf+L377rvKJ/QB6BdAhjq4bZvsUXy4ky5s/bsLbtmyJS7PN3r0aFmt1rg8F9KLweVyuVLdiGRqb29XcXGx2traVDTMtzj0HjDHq4BlLN4/cECTHn445P0vzJ+veatXewZZO9rbdc5TT/ncF+mx0tFBmveOD4dsNrV2dupgd/fRpSy5uRppMumjtjb930cfBd2qUzo6aL7ixBN1w9q1gfdVVOhX1dX618GDAaGLe2eUE0tK9On+WgyxiKZmRaT30rsOhFuowORvO3Zoivsf/JUrZbFYVDd/vu7cvNnTBovRqLunT1dVWZk6HA519/aqw+FQjsGgzt5eT6hTbbVq5rPPBrQn1Jao7nNzb1F7oLs7eG2V2lrlZGXpS3/+s8+MGrdqq9UTcL29cKHOePzxkO/N3xYt0jc3bgy5rOWBWbM0ccQIn9t3tLeHDAPcQYh7JpB32yNdt8F+T8mS6n8P0l1nZ6cK+ovgdnR0yGKxpLhFQOrRL4DM4h4HZSSDQYrTsDXPbNbW998n4BiCmLkxjCWy9kM0Is1kKDaZtOXaaz2DrAP9S0CkyEUtve/3XhISahnMrdOmaUJBgc7pHxAHU9/UpNvPPlsWozGgHkj99u3qdjr1i/5gw38Gh8VoVP4AtsiLtmZFqPfS3Y5up1ObW1s9IUanw6GvBAlMfjNrlr7z5pvS179+9MacHHU6HJq7erXumj5dt519tg51d6vUYlHdtm269fXXdff06fpniFDn0hNOUG15eUD7I22JurOjQw0tLXpm69ags3Ouq6/X/1xwQdBgQzo6o+S/zjhDK6qqlGUw6IX5832WrLh/fzVWq3Z1dOimykrP47zbf1NlpQ7a7Zro9/z+tT+ChQHBluSk424pbqn+9yDd5eXl6fX+2ix5eXkpbg2QHugXQGayzp8vy/jxqW5GTHIsFuWWlAz6ebp27dKW++7T/v37CTeGIMINpEyk2gXHmM0+n2IXGo2eWg/hilpajEZVFBXphfnzPUtD+lyuiMtgrjzpJH3a7xN6f7be3qD1QCTpsN2udf3BxlNz5+rexkafAXxtefnRT/ZjmDEUbc0Kh9MZUIw1ZDsqKrT8rLP0RkuLz/PVb9+uj9vatHbHDum443zu63Q49NW1a/XXL35RByVd8MwznvP/6fnnh9xt5Ptvvqn7amq0xG/2RSRN7e0qLShQQ2urp/6J9zKf/33vPbWHWU4yJj9fE0tKdI/fuXvXc5lWWqp7Zs7UzGefVafD4bOV7HFFRVr90UdaUFentxcuDPoawcIA79kPednZWlFV5ROmpONuKYhOdna2zjnnnFQ3A0gr9AsgM4089VSVTJqU6mYAcUe4gbiIVBMimFgLGY7My9Ot/TUcQhW1HJOfrzVXXKHvvPKK76yE8nKtqqkJGNC7uXfFKDGZwra5xGTSnZs3+9QDcbP0z8wIWQ+kqclntkWw90ySz219LlfQmSKhalZ4D97D1SVx9vUFPYeD3d1hz7+9p0d/37dPa664Qo6+PhUajbL39QVd0iFJL27bpjvPO09XnHiibpwyxVNjYkQUn/A5+vqChjPVVqtevOyykOGGxWjUi5ddpsV+RTulo7/nbINBjQsX6oPDhzXz2We1t393HO/XeO6SSzw1W6ItqBlNcdx03C0FAAAAGAoINzBo0dSECCbaQobeIcAxZrO+N22a7L29uvLTn9Y3N270qQOx9oor9F8bNwYMauubmrR43bqgA3q3bqdTBoMh4raiDa2t+sn55/vMJmjp6FBRf7gRacnF3q4udTgcge9ZebmWT52quatX/3u3kPLyoDNFQgUX3sVYw7XDHeb4y8vOlpxO6R//OHrDf/yH5DXboDA3Vxt37NAKr61TIxXsPGS3B9QpWVFVFXbHlYbWVl16wgn67quvBj3HNrs95BawSysr1dY/iyaY+qYmdTuduiRM7Yu87OyYCmpGWxzXXYzVIPm0j+Kd6a+3t1er+6+Z+fPnKyfGbaeBoYh+AQBIJ/wVwqBEWxMilEi1C0IFJ6uqq9XW06Nf1dTI7nTqiMOhESaTdh45EnZQe+OUKSHbkpedLYMUtv5Cu92up+bO1S2vvea7NWxFhWaVl+uSiRMj1lVwulzB37OmJjldLp8Apr6pSX1+t0nhA5T1zc36yfnnq8Nvtoe/YO1saG3VzLIybfjud4/esHKlJ9yYVV6uxt27Q9a5CCXf7392LUajcrOydO/MmVr28ss+78Os8nL9orpa2w4fVpfDoZvPOENVZWU+Szuko4FJqF1bZkyYoEMRdkDZb7OFDVcmjRwZ8dr1Fm75kHeQ1Olw6H/ffVe/mjVL7Xb70SKsWVkal5/vsyML0o/dbtfnP/95SUcLJzKIA+gXAID0wl8hDEq4QZ13Ic9wQhUyDBecLF6/PmDw+f6BAzoYYVAbSm15uQpzczXKbNaK119XVVmZp/6Ce6vOB959V1+dPDnkUo+vrl2r38yaFXFpR6/LFdVA2G1dc7NWnneez0yRSLUbtre3Rzwm2P1/37dP91ZX67yTT9bh7u6jlal19P25e+ZMnRVk15FwSy2q/Qo1edcB+elbb2lpZaUncBpfWKji3Fw1tbers7dXfZI2tbTonb17A2av5GVnq9Ph0IK6On37zDP1k/PPl3R069Xi3FzlRfgfbHNOjpadcYakwBDrnpkzwz42mEiFQEtMJv3+kktUUVSkxj17dPqjj3rOpdpq1a9qaga0tAvJk5WVpQsuuMDzPQD6BQAgvRBuYFAiDeoGs/tDpOBkR0eHPjh82DMQdBdxDKeiqChg945qq1VLpkzRXW+/rVXV1bqvulrX1dd7ZkZYjEbdNX265p9wglxSyPoS9du36+PDh7UhxHIJ6egMD//6Gf6CzajY29Xls4Xo+v5PykJxBzLhZie0dnYGtO2+mhoV5OTop089pVKLxRPuNO7Zo9aOjqBtd8+gyDYYAt7Xmyor9adt2zzt8F9O4/0e182fr++88orPzBD3czzw7rs+s1caWltVW16uN1padPrYsQHLVx6YNSvoLi3u5/zH/v0aX1io8489NiDEev/gQa3629905Ukn6cKKiqgKwEYqBFpkMuml7dv163feCfh9NLS2qqWjQzeuXx/z0i4kj9ls1saNG1PdDCCt0C8AAOmEcAODEmlQN9DdHw7ZbOp2OvXcJZd4dsjwX5rwwaFD+twf/yjp6EDw5xdcoBfCDOhrrFYV5ubqdxddpH/1z/JwD2jdswK6nU49PWeOnp4zR7s6OrTjyBFZi4q0dMMGfXXtWj13ySVh230wxHIJi9Gou2fM0LSyMh3u7g7Y2cRbpIBGkjY0N6vGag26BKfaalVDa2vIZRvu+g4FOTk6b/z4oMuBLqyoCKiFEipQcc+g2Hjllfrxeefpk/Z2VRQV6Q/9u41I8tSZ8F5O471dbm52tvoknVVaqjdbWjzvibvdVWVlqiot9bzm3/ft0wO1tVrb1BR0Js2yjRtV118LJFjgsqCuTlWlpaoqK/MJjaSjNUTcQUw0S6ukyMVxjzGbNdNqDbqUaGllpX7U0BByy9tYlscAAAAAwxXhBgYl1h1PohHNrhOSbwhQv327Np14ov6+b59+fN55WvHaaz4D/2qrVd+orNQ3NmzQXdOnq/q554K+tnspzUmjRmmE2axRZrOu+fOfPc8VzVIP92DfvbWoo69Pnxk1SjeuX68b6uvDnpM7mPA2q7xc4ywWn6Dnf997Tw/Onq2sELMl3M/p3Y4ReXkalZfn+Z0E26nl/QMHPLc9cuGFarfbdbg//Cg2mUL+rqtKS/W3PXt0+tixkqRsr+nJnQ6HHnzvPT144YXa0d4uSSG3qQ32nriDBveMFvcMkwmFhTqnrMznPfV+zSvr6vTGggVqs9vV3tOjYpNJuzo6dN2aNep0OIIuAfJ+/7udzpiWVoUrjltaUKBP2tqCPjZSAdpoXh8AAAAY7gg3MCjR7ngSrWh3nai2WvXXPXu0oqrKU4siPydHd8+YoV1HjmhqWZlu8ltu4B4w33HOOWHb4L2Ups1u92lLpPoS7oFxp8PhGbCuqKrS/e+8E/GcvHdLcastL9etVVV6cds2VY4dK1tvr6qtVi06+WTtPHJEv6yuVp/LpbaeHhUajXqjpcUnGHC3o7aiwjMDwD88shiNqrvsMt3Z0HD0NodDWffdp7LCQq2ur5eMRhkMBuVlZ+u3tbX6SpDg6daqKmUbDJr+zDM+O700fvGLksulMf2zQmz990Wz24v3gL/b6dQJJSX6x5e+pCKTSZ09Pdrc2ipHiOKtFqNRD86ercVBtsp9cPZsn5k63ve5gyHp30FWtEurIhXHHRli+9tIBWjbenqox5EGbDabpvVvRb1p0yaZef8B+gUAIK0QbmDQIg3q3KIZoEWz60S11aplZ5whg8Ggu956S/c0NnqWN/zrwAGVmEwhPwmXpI6enrDLQryX0vgPbEMu9Sgv15IpUzwDY2+Rdjb5n+nTtXDSJPVJ+v3WrXp67lx1O50qtVj0wcGDanc49NrOnfr+m296HldjtWrleefpWxs36r6aGp00apSko1u1/n78+JBBU7DwaGllpX60aZPnfPKzs9XV0qKdks58/HGp//1w14B4eu5ctXZ26mB3t8w5OTJlZ+svu3frGxs2+LyX9U1N+saGDT7LKtwzfWLdpnaEyaQ/fvSRTh87Vr9obPTMpAm1DW204cnE4mI9d8klAQFYtdWqxv7wzJyTo82trVGFCqGK43qfu//Ml3CzgSxGo0aYTLqqro56HCnW19end9991/M9APoFACC9EG4gLsIN6qTQW7r6D9Ci2XWiqqxM7+zdq407dmhTa2vA8oZQA143c06Oznv66aBLIPyX0vjXDPFf6lGUm6uReXkaZTbra2vXRiwWGozd6dRpY8bo/QMHdLtXgPHC/Pn6uK1NT2zZEjBIX9fcrKzXX9eZpaU+dRkiBU3BwiP/oOGmqVP15xUr9M7evZLXriPeNSBOHj1a0tHAakdHh76yZk3Qc/NfVuGe6fPuvn1h3xPv2Qw1VquKTSa5pIDAItRMmmjCk9rycjldLv3m3XcDipjefMYZMki6++23fZ5nMKFCqFlOrR0dIYuf3jV9ekChUYl6HKmQl5en+v4lUHkhZuEAww39AgCQTgg3kHDhtnT1H6BFKkA6Mi9Pb+3erdumTdOK11/XiqqqqAe80tGBq6P/06WAZSFBltIE+7TdvdSj2mpVVVmZ3tq9W0/PmaP7qqs9dRq8X6/UYgl7Tu5zHpufr0smTtQpxxyjqtJSWYzG8PUYmpp045QpWtnQEBAghBrwHnE4fJbymHNyNCovTxaj0RPMnH3ssbqzpEQqKQl8zSBhxQeHD4c9P//AakJRkY5ECLHcsxlqy8v1w3PP1Zznn9dvZ8/2mb0ihZ5JE437amrU0NKi6RMm6M7zzvPsHtPQ2qrG3bv12s6dAQVbBxsqBAufcrOyVFZYKKfLFbAtbeXYsfrq2rVBn4t6HMmVnZ2tWbNmpboZQFqhXwAA0gnhBhIu0pau3gO0SAVKSy0WPVhbq239xRmDDf5DDXjdNRVM2dl6/rOflbWwUN1Op1wul6789Kc12mxWaUGBz3N5Pm0PUmfCu3Cnuwjp03PmqLWz09O+htZW1XlthRrsnNwzRUaYzbprxgx9rX8b2hfmz49Yj8F9f7R1IUaYTGpoafGdjVBe7jODJdJr7rPZZDh40LNEY3RenqetwXa2CRZYlVosoX/P5eWqKCrS2wsXavVHH2nms8+GbJd7Js23zjxTd82YoXa7XQW5ucoyGMKew4TCQp3+6KM6p6xMy6dO1cXPP6/rTz316A4qpaWaUFjoM4vGW7ShQqhlWP7h0yGbTb95911VlZUFbEu722+7Xn8Hu7vD3g8AAAAMF4QbSLhIA2/v+6MpUDrCbNaB/kFduAHv0spK/eT887W9vd0zWPzNu+/qzHHjdPrYsfrOq68GbpEaZMnBhKIi3T1jhra1tQUtUOp9DiPMZu3p6vLZXtS9M4gUfEtW90D3kM2mr69d65kt0NDaqhkTJoR979wzHIpzcyPWNDlks2nxunWBW442NanP5fLMYDG6XNKWLUfvPPFEya8mRJvdrvOfflq1FRX6VU2Nlr38sv64bZvnfvdyn+vWrNGPzj1XfS5XQM2KTodDy886S86+voDaJd+orNSB7m4d6enxCWHC1aaYMnasvrVxoyeAWlFVFXKr3BqrVc1HjqjT4VB9U5Nckl687DJt79/JpaG1VfYoinyGE+0yLOnoNXNfdbWu6w+1vI+/6qSTwr5Ot9OpQzYbszeSoLe3V2v6l1/Nnj1bOTn8+QToFwCAdMJfISRcpKUm/vdHqhtxyGaTQUcH0aEGvO6lI1WlpfrcH/8o6eig9huVlfrrnj1Bi02GW3KQZTD4BBbhzsF/4Otfp6PYZNIxZnNA0VX/GS73NDbq0hNOCDlId+/OUltRIXNOTsSik+Fm0KxrbtbyqiqtbGjQG83N0kMPHb1j5UqfcMN7R5j67dv1tfp6TS0r8wk31jc3Ky8nR2uuuELfeeUVn61aaysq9JtZs3RDfb3eaGnxvCfu0Kilo0ONu3fr5NGj9c7evT4zXkItN1paWelTZNT93rkDJe/ba6xW/WrWLG1va9OKqird09iotU1N+saUKZ7rRIpctyXcNR3LMiy3UNe8pJD1OKqtVm1oblaZxUK4kQR2u11z+6+pjo4OBnGA6BdApjq4bVvED3IyUU5OjnJNprDHdO3alaTWIBX4K4SEi7TUxLuAp1u4uhF7urr0fx99pFurqvTBoUMhl3zMKi/XxJISrbniCh1jNuv/ffihFtTV6em5cwNqN7iFWnIQyzkEG/h6bw275dprPbubeAsWisx5/nm9MH++sl5/PWBZzM1nnKG9XV268tOf1j/279c3Kit1ZmmpZ0mI/2A60mwDc06Otlx7rfa1t+ul009XU3u72r2Wd/hvlSodDQ5u8tvZRJJOGzNG33nllaAD/I/b2jy3B6sn4g4W/JcXuX82yDewmDFhQsDzeAdK/zN9umer3J0dHTr3qae0t6vLp6Cs/wyg1s7OmK9Zt1iWYXkLdc3/oro6YMaN9+9i3sSJIduC+MnKytIZZ5zh+R4A/QLIVM2PPZbqJqRUntms0f3F8TG0EG4g4aJZahKJ95KLvOxsuXR0l5GcrCzdO3Omlr38su+shf6tWT88dEg5WVk+Sxwi1ZQ40N0ddOvPVf2DzIDZEVEUIfU+PtTA2D8UsRiNuv7UU3XAZtMd55yjn15wgQ7Z7SrMzVVedrbysrP1i8ZGffmllzyP8R6wS9KZ48ZpR0eHPjh8WOYIn6iNMJl00qhROmnUKL3317963vN9Npvae3rU53Ipx2DQIxdd5FNbI9j7Ga4QaqQ6Ed1Op97Zu1dVpaU+M166nU7lGAy6ddo03XHOOepwOJRtMMjpcgV9HnegNOf447Vy06aAwMG7oKz3DKDaigpddNxxurCiYkDXbCzLsKLicgWtx+FeFhVpZhTiw2w266233kp1M4C0Qr8AMpN1/nxZxo9PdTPiyrZ3r7Y/+6wef/xxTZo0Keyxo0ePltVqTVLLkEyEG0gK97T7vV1dcrpc6nW51OlwqMvhiFgzIFj9gmqrVWeMG6edR46o1GLRHeecox+fd54OdHdrnMWiQqNRN27YoO+ffba+++qrurn/kyUpfO0GSTrU3e1ZguKpK7Fhg9bv2KGllZW6ccoUSVJFUZHGFxQEtD2aMCdYfQzvUMRdp8N7i1v3ed9UWamJJSX6ul/QIv17wP6tM8/UlLFjfR4frg5FsNDFPZPAcOCADtvtAUt53EFKTpDineECpEjvf152tmeWRvZf/xr0/N0zcOatXh1xCYnFaNQbLS0Bu8S4w5lbqqpUXliohquvDlgCFW55VCixLsOKZEx+vt7avTtoWBRpFgkAAIC/kaeeqpIIAUCmOfLJJ9r+7LOaNGmSpvT/vzqGH8INJM0Is1kdDkfUhRal0PUL1jc3K9tg0JIpU/S5F17wFPasrajQ03Pm6KO2Nn118mT19W+vWVVW5lm+EmmrWHdNCcm3rsT6HTs8t3c7ndpns2lUiIFuuLoh4YpN/ra2Vl+pr9eZ48YFrQvi/vnuGTNCLn1Y39ysO845R7e/8YbP40PVoYg0G6HIZNIvQrTFIOkbQZaljAiz3rGhtTVsHYmG1lZ1Ohx64N13tWTKFE+YVGqxqG7btoBdXcL9PmsrKpSTlRUyKHpq7lzl5+Ro4ogRCra4I9zyqFAGMnMnXDHYeMx8AgAAAIY6wg0kzUAKLYatX9DUpG+fdZZnGcY548d7BnuFXV2aUVen5z/7WUm+A/tIW8V615SQjgYBd5xzjs4uK9Ndb78dsI3qg7NnBw1m3ANj98D1g8OHNdpu19fXrg37Hjxy4YXa19Wl08aM0c1nnBGwter65ma12e2h32hJjr4+NbS2BsxWeHv3bp137LH6+YwZsvX2Bp2NYLPZVFNTc/Tc161Tm90edLaH+725parK57Zqq1XFJlPIwOHv+/bp17Nm6T/93gfv97/aatVXJ0/22ZGm2mpVVVmZ5+e87GxZjEblhlma9ODs2XL09oYNih6YNSvsexmrWMOIaHZWiVRkF4nn3y/MvPcA/QIAkFYIN5A0Aym0GKk+wSG7Xf/77rt65corVWIyaUJhoaSjn56fM368evo/3fffscTR16efnH++TNnZau/pkSk7W3/46COfwbS3g93dKjAafWZ1SEcDllDBjBQ4cH1h/vyQ78Ebu3bpQHd3QF0P7zoa7rYVhFnaYDEaNS4/X28vXKhvbNgQdFmH3enU1NLSoI/v6+vTm/0FV/v6+iL+DoxZWXp30SLt7uqSo69Pm1paNOf55/Xg7NmSAre/vXvGDC1/5RWdWVqqG6dMUbfTqZF5eaooKtI+m01Pz52rhtZWXbdmjZZWVvqEM2Pz8z1Bz1/37FHd/Pn6UUODfvrWWz5LhsYXFHiuh3/u3x80ZHG3LVINloGINoyIJfAbyCwSxI9/vwBAvwAApBfCDSTNQAotRqpPkJedrfqmJv34vPN00G73LC1wf3r+0vbtnhkE3juWSL5LWAwKvnOHtx81NGhpZWXAcaGCmWAD13AD6aWVlQHBhuRb+HJlQ4MsRqOKcnODLu2wGI2qmz9fr+3cqWe2bh3QbAWTyaTV/TVHTCZTxN/BYbtd5z39tCc4cYcPwba/LTaZ9LX6+qNbx374oc/z1JaX63+mT5fBYFBuVpYeuvBC3R1kpsyGz39e81avlkvSjzdv9pyT/3GPXHSRpKM1VCK1PxGiCSMGurMKks+/XwCgXwAA0gv7diFpBlJo0V2/IBjv+hitnZ0aZTLpkM2m9w8c0ObWVnX19mru8cfrgVmzVFte7vNY7yUCI00mNe7Zo+oQVZPdr7O+uVlVIWY7BAtmgg1cwxXTrCotDVtHo6q01BNe3Lxhg5ZMmRJwXndNn647N29WaUFB2NkKXb29OmSzBb0/JydHl156qS699FLl9M+WCPc7+OuePVpRVaWllZUySKq/4gqt6F+qsrKhQfNWr5ajr08Wo1FtdvvRYCOI+qYmNbW3a+7zz2ucxRJ0KUl9U5N+uGmTNl55peZOnKgbJk9W3WWXaUVVlSxGo89x7qU74Wa5SPJ5XLLFfWcVJIx/vwBAvwAApBf+EiFpBlJo0VO/IMhuKd71MQwGg5ySrqqrC1q74Om5c0MuEbA7nVq2cePR3TkMhrCvE2rmRbBgJtjANFzxy0i6nU7dNX26frx5s9Y2NWn9jh3aeOWVnqUdednZGpGXp6+uXavrJ08O+1wfHj6sb77ySshCrt5C1ZCotlq17Iwz5JICZlh4L6WpKi3VhuZm/fdf/qLvn312xHOUpLKCAq0NEvRYjEbdMHmybtqwwef+YEt33O9/odEYtoCsOScn6Na/oYQr/hnr8fHeWSXeYj1XAAAAIFUIN5A0A931YUJRkR656CJtOXBAB+125WVnq6G11TOQrbZa1edyaUmQJR3etQtOGjUq6PMfcTg8yyg2XnmlllZWakRenoxZWTrQ3a3evj4t7V9uEWzmRahgxntgajEatbSyUueUlenKT39a39y4MSCEqSguDvv+HVdUpFKLRV9du1bS0Toif/joIzW0tHgG7s9dcomkyNutjs3PD1nI1el06rXXXtMRu13Hn366OpxOjTCZ9MiFF6rNbtc+m01tdrsaWlv11u7dem3nzpDLX+6aPl2lBQWe39XPLrggbLvc7Q4VIi2trAxbHNR72ZD7/R+Zl6dbp03zOU46GmzcWlWlZ95/X7f3rxkPt3OPFF3xz1iOH0jglwjBQoxYdzYa6tz9QpLOO+88ZUfoY8BwQL8AAKQTwg0k1UB3fSgtKFCnw6Efr10bdIeTHL8ZF97C1cQ42N2tvOxsPXfJJTLn5GhvV5csRqN+1NCg08aM8RSznGm16vMnnqh39+/3eY5wwYx74PrGrl16dt487TxyRE6XSx8cOqTbzz5bP73gArX39Ki3r0/HFxcfraPhNdB1ByLupTDGrCzl5eRoTH6+9nZ1STq688uz8+bp85/+tMoKClSQm6u6yy5Tn8sVenvU8nKZ+v8HNNh7093drRkzZhz9YeVKqT8kcA9sDZLOf/ppSUcLpH6/Pxjw596Sdvbvf++ZTZFjMIQczHsvMwoVzlSVloasjbK+uVlL+7el9Q4GRpjNOqG4WFeedJKWVlZ6Zrm0dnSoq7dXP33rLc9zhNu5J9bdfqI9PtXbvAYLYH5TW6vfb90a085GQ513v+jo6JDFYklxi4DUo18AANIJ4QaSbqC7PozKywsYoLpncDzdv7Wrm3cw0O10ytHXp9aODrXZ7Wrr6VGB0ShnX59uef11vehVA+KBWbP04scf66uTJ+vexkafgXSN1aoHamv1/rXX6nAUwYx74Lpx506VFRTonsbGgKUUt1ZVydbbq4/b2mQxGrWqulqL163TGy0temru3KBtWP/5z6v62Wc9AYdL0nNbt/ps1zrn+ON1z8yZWrphg0/AMau8XD8891ztOHLEc5v/8pndnZ0q/9Sn5HS5dM9nP6u/HTqkexobPQPbRy680BNQRNpppMfp1DPz5nm2s802GEIucfFe/tPQ2hq0YGqk1+t2OoMGA8cWFemKT33KE6qZc3LU0NqqmzduDNgdJ1QYFmvxz2iPT+U2r6ECmLKCAgqd+jEYDDr55JM93wOgXwAA0gvhBjLGCLNZF1ZUBP2U23tJh8Vo9AkG3D8ve/llnwCgxmrVNyortXHHDs8At6ygQKeMGRN06cO65mb959q1enruXH06xBIXfxOKinROWZm+Wl/v89rSv5dI/M/06Tr90UclSXecfbauOPFErTzvPN3y2mtB23Dzhg16cPZsXbJ6tZZWVurut98OOM4d2NzUv1uJdHR71D6XSxc//7x+279Nq+S7fGZHe7u+/sorarrhBknSFX/+s089i/rt29Vmt3sCikjLXzodDs1bvVrVVqvqLrtMY/oH7e7B/CG7XbbeXm1obvapl3FPY6NeX7BAfRs3+rxvIyJU4z9xxIiQswq8Q7XNra1hd8cJVi8l1uKfsRyfqm1eQwUwxqzwtaYPJWiHmXSWn5+vf/7zn6luBpBW6BcAgHRCuIGMEupTbkme2QT+dRlC1WlY19wsl3zrNHQ7nWGXPtQ3NWlnR0fUA9FDNpu2t7UFBBtu65ub1dvX5/l5ytixmrd6tV6YPz9oQU13u3/aX7siXFtf3LZNPzznHDldLknSCx9/rJ++9ZaqSks9yz+8l2+E+hR/fXOz8nJy9NTcuTJI2mezyWAw6JELL5TN4Qg6w0LyXWayvrlZ2QaDZ3tW78H8jvZ2/fdf/uIzg+Kc8eN1jNmsB2fP1sdtbZ7lQ129vaqxWrWptdVnZo45J0ctHR2aUFAQ1e9mIIU8Y31MuhcLlUIHMKPy8sI+LpU7zAAAAADBEG4g44T6lNs9m8B/wB9tnQbpaK2HSEsfmtrbdazXIDrcjhJ7urr0/9k78/ioyrP9X7NvWdknkZmACNK+As0AGURCdrQE2lDZlLb6VqV9ZQlYtYht7a+idSVubbW83bSVRUkLsUpCFlAgFMcW27coYsxMYCZBIOusZ5bfH5lzPGfmzEzAQAa4v59PP53MnOU5Z/JInuvc93WdS/CU2+33Y3dFBTyBAPQ6HTaazfAmGEOPz4fdFRVIS7BAPtXXhwXV1dzP/PaPyPaNWE/xdQoFVk6dihc++EAguJQZjXippASvlJXhnrq6mG0m/Bah452dOOfxIEun486bqC0jTan84v4qldgybx4+6+nBo4cOCb7Xspwc3JyTMyBx40KMPM93n2QxC41HLIGFCQbjJszIqfycIAiCIAiCSDJI3CCuGMampeH3N9+MT7u6BO8PxKeBpdnhQOHYsQnPxXoOJErD6Pb5ErZu+AKBKAGiYsIEANHeIRq5HIfsdqQplSjYtg1Hv/vduMcen56OY3feiW6fD6kKBVQyGc55vXh/xYooXwfuKT7DAL/7Xf/rO+9EpdksWvlSa7Xi+3V1uH3yZLxSWgq33y9IUmH9M8S8QyJTN+K1ZUR+1ul2Y/ORIzBnZXH+K+x9WVVfj9/ffHNCgeNCjDzPd59kMAtNRCwBptPjwdqw6Md+7zqFAs8WFMA0ejTOeTz4+Ny5qyoa1u12Y2E4jWjXrl3QXCXXTRDxoHlBEARBJBMkbhCXPWzlxDmPB95AAMoIMSGRuMD/vMpiwZKJE1FiMIi2kpQZjQihPz52IGkY6Uoldn/6adzkksa2NsF79TYbLB0dWDB+PO6OYWy67PrrsfDaazFSo4lbHaDnVUiwXBvjPnBP8UMh4JNPuNcDqXy5p64OW+fPB/BFkgoAbIwljLS24q49e7C1vByZGg0cfX0443ajy+tFqlIJnUKBEWq16ML5tMuFu0TuC1stcnqAZpcXYuR5vvsMpVnoQIglwJzs60PNp59yAhITDGJiZiYqGxq4KGLg6oqGDQaD2Lt3L/eaIAiaFwRxuXKupSVhlfDlglwuh1KlguvUqaEeCpEEkLhBXNaIVU68XFoq8IFodjhiigslPF8IoL+FxeF04qWSEqyurxcct9hgwKrcXLx89CiqCgtxegBpGKO1Wvzr88+jnoKz5/75TTehaPv2qP3XNzXhH9/5Dv4nIvpWp1AgLysLHU4nHpg5Ez0+H14pLcWahgbs+vRTbrt41QGx2mi4p/iffgosX96/8QDadDyBgOB6+WJLIv+SdqcTnV4vvl9XJ5okMyEjA9dELJwDoZCoYML+/HxRUdzx8rkQI8/z3WeozEIHSiwBhjXv3dTcjI1mM176xz/ERaqrJBpWpVLhtdde414TBEHzgiAuV2yvvjrUQ7goqDUajBgxYqiHQQwhJG4Qlw2Ri/I0pRKr9u6NEhjWNzWhpqICIQB1ViuqLBbODJNfjVFmNOLFkhJ82tWFPbfeiuFqNZhgEJ0eD050deEhsxkPzJyJTq9XEDvrZBgwwSA2FxSIjpNtJfEEAjjR3Y1nCgpwX1OToI0iU6XC2NRUzHvjDdG2kyqLBU6GEYw3MgWGu46cHLxcWoon8/MTRtTGaqN5qbgY3T5ffxQtgFpeNcuwBOaSbOVLt8+H64cPx/+WleHtzz6DPiUFOoUCNYsWCa6JTyAUihI2gC+EiqXXX49br7tOcC3+UEhUqGL384cNVImBIybA8FNtPIFAbJHqKomGlcvluP3224d6GASRVNC8IIjLE0NFBXTZ2UM9jC+N+/RptG7fjtdeew2TJ0/GiBEjYDAYhnpYxBBC4gbxpYlnqDlYiC7KjUasys1FPS/KFeiPHy2vrsaRFStg7+tDp9cLuUSCNSYTNpjNkEokcDIM7H198AcCuOXNN6PON0qrRd3ixZj6hz+Ijqe2tVV0ES0mQOgUCmwuLIRZr4etpwcauRwuvx8uvx+/u+UWBEMhNNhs3OKfjV7ti0iyiJX6UtvaipXhtpB4EbXx2mi+X1cHc1YWqiwWbC4sxDNz58Lp9yM93CIi1qbDejBkqtXYsXAhtHI5Ot1uBEIhvHH8eFTVCxsny/+uAqFQzFQYtuXF4XQKfr8i70skkQLKYHApfseTEVb0OMyrbhIjUewtQRAEQRDJw7ApU5AxefJQD+NL0/vZZ2jdvh2TJ09Gbm7uUA+HSAJI3CC+FIkMNS+EgVZo1FqtCIRCgihXFifD4HOXC9/4y1+iFrvFBgPMWVnY1NyME9/7nqhnxd1TpqCtpyfuOJ0ME7WvmADhZBjcU1uLspwc/Ka0FC3hpA/+NvzFf73NBgnAxb2yxG3xaG1FW18fAMRcdMdKQwH6hYR106djU3Mz7nnnHeQFg9g0ezam33gjTnR1YY3JBIlEwgkROoUCNRUVeOzwYaEHg9GIDXl5OGC3Rx2fvT/sNRQbDOhNsCj2BAJo6e4WGK42LFkSd5/MQS6Nvhi/45cbl0Os7cUmEAjggw8+AADk5uZClsDLhyCuBmheEARBEMmEdKgHQFy+JDLU7HS7Bdv+58wZvHfyJI6ePo1Pu7oEn7O09fRgWU0NJv/udzD/6U+4/re/xR1vv427pk6FTqEA0L+w3mg2Y3dFBb4/bRoWXXcdNprN3OcsTDAoiHllqbfZYNbrAQDnvF5sKStDWU6OYJuisWORqLkhXamM2tes18dsmahtbQUTDOLx5mZRv4jnLBZuvHttNgRDIZTwSusSeV8c7+zEsrfeiinKJHq6rlMo+u+h34/DGzagJD8fHo8HXT4fltfUYHZ2Nt5fsQK7KyrQtHQpNjU3R1Vd1FqteLS5OeF9LzMa8bDZjJQEi2IxM9h6m01wX/jwI1Y73W58dPYsDjsc+PjcOdHft0Scz+/4lQzrpSJGssTaXmw8Hg9mzpyJmTNnwuPxDPVwCCIpoHlBEARBJBNUuUFcMPEqAfh9+GJPvosNBjw8axauS0+HVqFAh8uFYCiEdY2NcSs0WP8MsaQMfttDscGAxrY2bjEdCSsUpCoUnKHiqb4+tIaFAX8oFNeItMxohEomizJjZBIIEL0ME7d6gi8K2Hp7scZkglQiQa3VOqDUl3gGjwN5+v56eTmW7dwJV2Ymxuh0kEgkSFcq4WQYPHLwIJ46cgSVJhMqJkwQTZMRuw4+qUolPvj2tyGRSAAAgWBQYP7Kp9hgQKpSCblUih0LF3J+JL/58ENsmTePuy8sfBPVwaq2GOjv+JXO5RBre7GRSCQwGo3ca4IgaF4QBEEQyQWJG8QFk6gSoNvni/nku95mg1oux6M33YQHw5/vrqhIuPCP5TvBb3tottux1mTC8poa/P6WW0SPp5bJsPDaa5GuUuGjs2fR6fWCCQQQAiCVSDBMreaEFP7xgf5F97OFhTjn9eJaCM0YPzp7Nu49SeQXwa/OUEilWFZTg6alS/HYnDnwJxAC2NSXWIvu0Vpt3P3f/OQTHHE4sHXRIixXKvH28uVo83iQrlJx7TdOhsGm5mZMGzVqwNfBxx8MIpfn0D1//Hi8WFIS1XZUbDDgheJiPLhvH3a3tAje3zJvHu7asweNS5ZAKpFERawOJKJ3oIvxgfyOny+Xq39HssfaXmy0Wi1aRSKXCeJqhuYFQRAEkUyQuEFcMAOpBIj35HvaqFF4YN8+rrVhIJGj8Xwn6m02PJGfDwBcBYdYtUOxwYDPXS48W1iIO95+G7VWK2cE+rzFgr02GzaazZidlYXlNTWcqOIJBKCWyWDv68Obx49jyaRJUceOjELlU5aTM+DkEVascDIM2p1OVFksyL/mGqwKmyVFCgGsmMMituh2Mgw25OUhEJE2UmY0Yo3JhKW7d8PJMAiEQni2oABvHD+OTc3NWHjttfhlSQn+Z+9e7roGUkUSSUm4mobPW2Hh4rE5c/Dk3Lno9fmQolQiTanEuoYGgbABfCEy3T1lCqQSCa4XMVAdzGqLwfaauNz9O5I91pYgCIIgCIK4eiFxg7hgEi3kR2u1ON7VFXP/SKEi0YI5U6VCp9cbd5vPenq4Y5YZjXA4ncJxGY14qaQEapkM3+MtMiMrQqosFjQsWYKN774b1f6y1mTCWy0tWP21r0WPMUH5fopcHvOesYIGX6xg32MrV5bV1ODod74Dp9+P452dURG1LOyim60S6PR64fH7sf/kSeRfc02UWGNpb+f2r7fZ8NTcuXA4ndhdUQFPIICTvb14pbQUvT4fOr1ejIpTBVJmNMIRNjflv7cqN1cgwLC81dKC9dOn47rMTEwNV4T8+/PPsStC2GBhx5cewzh0MKstBvI7PlAGs6KEIAiCIAiCIAghJG4QF8xA+vDTXa6Y+0dWasTzuCg2GODy+zEuwdNtViApMxqx5eabkSKXY052tqCM3skwON7ZKVhkRgotTobBgupqvLVoEX7k9aLT6+WEhC0ffogXS0piLkQTle+L3bOF48fj6cJC9Pp8yL/mGviDQTxbUIBrUlOxZPdu7n7Nzs7GMLUawwDcv29f3EV3LK+TtWGRhC+G7K6o4F5rAdx3xx3415kzOLNoERA2ai0xGLCGVyFSE94nMp73uaIiHLTbOWFELZNhjE6Hgm3bYsa0auRyjE1NBdAvArQmSKr5tLsbP3r3XdGKh8GsthhMrwny77i88Xg8WLZsGQBg69atUCeowiKIqwGaFwRBEEQyQeIG8aVItJCP9+Q7MrIzlscFf1FdaTLFNfkcodFgd0UFxqenc4tl/oKx0+3G9/bswd1Tpwr2FWuJOe1yoWDbNs5A0xsIYMXkyRhtMiVchPI/7/b5OKO1TI0m6p5lKJVQyeVYWVsrWPyWGo1YyzPmHKZWCxbU8RbdAGJ6nQCIis/lX/+9U6fiqfvv7/+BJ3rstdkQ4u1bXl2NZwsK8JMbb4TD6YRaJoNEIsH9+/ahJqLqYndFRUxhAxD+LnTEEcRY4pmnDna1hYthsLmgAP5QCE6GQaZKdUFeExfDv4O4dAQCAfz1r3/lXhMEQfOCIAiCSC5I3CC+NPH68Lkn3yIVBCM1GsEi1MkwnIDxkNkMjVyOTJUKGrkcaxoa4GQYTgCRAIK0jmKDAatyc1GyYwecDINjd94pOh726fnqsHcFS6yWGNZA06zX44V//GPArQOt3d1RYkVZTg5eKi5Gp9eLdKWSa6sIhEJR2wJAndWKYDgl5ojDgesyMjjBBogvLH109uyAU1kir7943Dg8deut/T9E3Bf+vk6Gwcq6OuyuqMDiXbsA9IsYkcIGEL8qJ1Jw6Pb5ElbxxDNPHaxqi3j+GBdSYTHY/h3EpUWpVOKVV17hXhMEQfOCIAiCSC5I3CAuOmPT0rC1vBwOpxOdXi90CgVSFYr+SoSIRaiTYXCkvR0rp04VLOR/f/PNgkqH3958M050deGsxxPlOxHv6Tz7dJy/eNYpFAgB2Lt4MTq9Xi5ytMpi4WJlmx2OAbcOWLu7cfeePVFRqbWtrfh+XR3yr7kGXxs9mjMvTZQS89icOaiYMAEffv45enw+ZOl0XCpIrNSNRFUA/EoNvlhQYjBApVIBeXkD2jfyZ/a1TqFApckEs14PTyAArVyOb06YgJ8fPCjw0ijLycH/hitNPjp7Ft0+H7RyORRSKdZPn87dA/5YB2KeGkv44Z8nXlLJxfDHGMyKEuLSo1AocPfddw/1MAgiqaB5QRAEQSQTJG4Ql4RY1R2ZGs2A4iVj7f8LkafzkYtl/iKWfTrOVoCo5XKsnDo1Kl622GDA6+XlePnoUaycOpVbTCcSDTrdbnza1RUlbAD9C35zVhYWT5qEtQ0N3DaJUmJOu1xYUF3N/bxw/Hg8U1iIeyPiU/mpG4mqADhvEl41yYrJk6GRy9HS3T2gfcV+zlSpuOSZ5yyWKDPWX5eW4sm5c3EuLHIpJBJ4/H587513BNdSYjBg+pgxKDIY8ExBATq9XqQoFJDgi4QVlljXGvk7cz5JJRfDH2Mw/TsIgiAIgiAIghBC4gYx5FxovGSsp/N9DINlNTWii1j+0/PlNTV4vbwcL3zwQVT7Q73NBplEwiV8sH4RiUSDDpcL50QSXfgLfrNez8XfAolTYiK5YdQo/KCuTrQyhK0qiFslYDTCmJaGo9/9LkZqNNCnpAg+l0skuFEqxUG7HRg1CpBKuc/4VR5A/32dNGwYZ0jq8vvxbEFBlFgE9N/Te/fuxW/KyvBIQwNqrVZsNJvRbLdHbcte2+P5+fhhU1NUC9Lr5eVYXlOD2dnZA6p4EKvE0CkUmDFmDD7p6sLJvj4MU6s5Eexi+WMk8qghkpdgMIhjx44BACZPngwpb14QxNUKzQuCIAgimSBxg7isiRRG4rYT7NmDreXlgqfnEkAgNAj2CXtzsMLGQFoHun0+UbGCHzX7/WnTBJ8l8pcIAVzyiEYuR4ZKJaiIiLzODpcLo7VavFRcHFXdURL2Jpn15z9zLTxs5QLb5nK6uxsH77uvf4dNm4CwoBOZlsJWHLh8Pq6yRKdQYN/SpVhZVyc+PqsVZz0eHLDbAUSn1PDZa7Nhg9cbJeKw92lzYSFuHjcuZlsJv2VHLpFw52THKVZdwt6Pi+mPcaFiHjG0uN1u/Nd//RcAoK+vDzqdbohHRBBDD80LgiAIIpkgcYO4onA4nbHbCaxWOJxOfGXECO7p+edud9zjsS0jA20dSFcq8c5nn6HMaIwZNRspfsRKiSkzGvFsYSEe3L9f0IrBVklE+lqwXiFdXi/WNjTggN2OSpMJq3NzoZX3T/WGtjZBJUptaytW1dfjuaKiL0xNfT5Ap0OKUon6225DSKXiDFB7vF7UL1kiqDg4zKvkcDJMwhjXU319XOJKopYcsSoY9j49X1Qk8GVhEW0/MRq5ag8nwwjEJj5s9cvvb76Z/DGIKEaMGDHUQyCIpIPmBUFcfpxraYH3Ckg4cof/BmUryMQYMWIEDAbDpRoSMcSQuEHEJJ5hZbJyzuOJ+3lneLHMPT0/ezbu9hMyMnDszjsH3DowWqvF+IwMVEyYgAfcbs6gVMEr1Y2s1OCnxGzIy0MgFIJMIoExLQ2VjY1RHhNA7MqDYoMBt02ejAN2O5f0AvQLInzfDj43jBwpTGtRKoFHHkEfgB8fOYLNhYUIAnAzDAIANHI5Or1eLt42I6KKQTWANptbxo2DWa/HmARP+SKFIL6gc9bjwcfnzgl+L2NW7litCISTZ9j0m3jVLz1eL/ljEAJ0Oh0+//zzoR4GQSQVNC8I4vLE9uqrQz2EwUMiwYoVK2J+rNZo8PFHH5HAcZVA4gYhyvmYLyYTKQnaBXQKheDnRAkWxtRUwcI5kdiTqdHAPGYMfrB3r6AqoH7xYu61WKWGk2FwxOHA7ddfj896esCgvwrlB9OmYdqoUVxyC9AvjsTztahsaOAW8ew1j9BoBK0tlvZ2hACYRo/GGJ0u9kLfakVLdzeW1dSgpqICjx0+LGjjKcvJwculpVh47bXY9emn3PgiK1dYWM8Os16PBdXV2Gg2x46INRoF/h6JWknGpqXFNQLlx9gmqhjp8vkwafhw8scgCIIgCOKKw1BRAV129lAPY1CQ63RQZmSIfuY6dQrHXnwRZ86cIXHjKoHEDSKKixGDeTEQExvSFIq4/hWpEeJGvASLl0tLcdrlwvGuLqQpFDjtdqOPYeD2+3HG7cbBU6dQbDDA5fdzY0hTKrGqvj7q/A1tbSgxGHDI4UClyQS5RIJNN92EZ+RynHW74Q4EYGlvR0tPD6refz+mgaaTYVBlscT1taizWrEmNxfAF4LATw4cwMFwm8rsrCx8a+JErG9sxCMHD2LHwoVx77MnEEClyYRHm5tF2zhW1tbilbIyeAIB1La2ospiweHbb8fahoaYMa5bw+JOzJacnBz8srgYaxsbufcStZJsnT9/wEafiUxcWU8N8scgCIIgCOJKY9iUKciYPHmoh0EQgw6JG0QUFyMGc7CJ5avwYkkJNhcW4r6mJkGFQanRiIfNZgxTqwXH6XS74WQYPHLjjXh67lzIJBLIJBKo5XKsqa/HrpYWTiB43mIRiA5lRiPGpaejvLqaq6qoX7JE9N5VWSzYvmABNsrleLS5OaqVZK3JhBCAze+/L1qNAYCrxhiIrwVbmVBpMuHlo0cxOzsbj8+ZA4fTiUy1GmfcbqwxmXD31KkYn56OjWbzF9UhDAPs2NF/oMWLoZbJ4rdxWK3ocLnwSmkp3GGhRyOTYen116PSZIInEIBaJkOzw4HlNTUw6/VcRQa/JafSZEKmWo3hajVGa7Vo6enByqlT4fH7UW+zJWwl6XC5Ehp9jk9Px7E770QwFIpZXUKeGoQYHo8H3/ve9wAA//u//wt1xH9LCOJqhOYFQRAEkUyQuEFEcbFiMAeLeL4Kq/buxeNz5uCFoiKc9XjgcDqhksng6OvDNbwWEyC2QPKr0lI80NSEXWGvi5gVAxE+DkBszw8nw+BIezsOnjoVU7z42ezZeOTgQdH9+S0VAJCpUsW9R5qwgejsrCzk6fV43mLBIwcPxhRqSgwGbFuwAJb2dnwlNRWLH3oIAPD8L3+JDzo68JUEhnEuvx/31NVh6/z5uH74cACAQiaLrogxGrl4Xf69Ye9f8+23c/vrXC5O+PjZ7NlggsG4Y+j2+TAxIyNum5Fep+N+B7bMm0eeGsSACQQC+POf/wwAeOWVV4Z4NASRHNC8IAiCIJIJEjeIKC5mDOZgELeyJBzfuqC6GqVGI1bn5mJZuJ2jLCeHa6mJJ5CsrK3F4/n5eKu1FU6GiVsxECk6xGt3MI0eHSVe8A0yAwkW71xyi9GIERpNzPabEoMBY1NS8LMbb0R2SgrWNzUJqj/EhJq9NhukEgm+NXEiFv/tb0C4VWXXZ5+hMi8P0qizCElRKKKqesampeGXxcU4du4cPIEA9DoddAoFbnr9da7SJRL+79ZorRazs7M5A9BEpCuVcduMIkWLsWlp5KlBDBilUonNmzdzrwmCoHlBEARBJBeJ1izEVQhrsilGMpTsJ6ocYUWAOqsVz1ksnPjALr6B+ALJXpsN3V7vgM0n+Z+zSSgDga2iaLbbsaC6Gj0JrmtCRgaOfve7mDt2LBxOJ35VWoqSiHMVGwxYYzLhx++9h7GpqQhB6GVh1utFBRGgX9jJSkkBZDJgzhxgzhzsPXUKm99/H/5QKOZ1lRmNSFEo8LMbb0QQwEdnz+Kww4GPz52DNxDAspoaLN61C50eD944fjymUFFmNGK0VotOtxsfnT2LE93deKm4GGU5OfAEAnHvLbsv8IVocezOO9F8++04dued2Dp/vmhsbKZGg+uHD0eeXo/rhw8nYYOIiUKhQGVlJSorK6GI8O4hiKsVmhcEQRBEMkGVG0QU5/P0eyhIVDnCr56IrKxghZFEAkmn18stwhOZT/I/Zw0yZRKJQDwpNhigj4g9jayiiIyI5cMmtwDAjdnZePTQIdw3fTrysrKwVsTXwskweCAvD2fcbsFxzkeoYam32bBu+nQ8bDaLXteq3FzM3bYN28rLsa6hIarNhzVD9QQCMQ1Eiw0GPF9cDCfD4Hu8ihqdQoHNhYWYmJGBO95+O+a+L5WUCH4vyQiUIAiCIAiCIK4uSNwgREnmkv1Y8a06hQLPFhQgU63GjoULoZHLcchuF3g1sMLIQAQSdqEfT3Rgo01ZnAyDLUePYlVuLlbn5gpEh5qWFsFxIttdqiwWbFuwADq5HDeMGgWzXg9PIIBhajVGqNXo8nqRoVLh8XBqyfenTYvZLgMA/mAwSqwYkFATDAJdXf1vZGQAUinSlEqM1Gjw+Jw5eHLuXLT19nL3hvXFEE1TsVoRDPuSqGWyKANR/v0JBoMCYYO9n/eE01hmZ2eL7utwOjGcTOyIi0wwGIQt/PttMBgglVLhI0HQvCAIgiCSCRI3iJgk69NvrrIk4gl/TUUFHjt8WBCRWmwwYPn110OnUGB2djbXujBaq42ZlsEKFkXhFgi22kACRKWlbMjLQ3l19Rfv5eTgmcJCTPvjHzlfCdZXY/qYMZg7diw2ms2ot9miDDKdDIMPT5/Gz266CQ/s2xeVqPKw2QxJWho35kRCRYZKhR6fD3sXL0an1wuNXI5guL0krlDj9wOPP97/5qZNgFKJbq8Xt7z5Ju6fMQPfnDABC3jXDEQLNXz22mzYYDajwWbjzh25bVlODu786ldRa7UKfEg8gQA0cjneb2/Hi0VFWFVfL9g3WaqJiCsft9uNcePGAQD6+vqgi6jEIoirEZoXBEEQRDJB4gZxWTI2LQ2/Li1Fl9eLcx4Phms0uL+pSSA+AOGWisZGbC4sxM3jxnGL4EyNBi+XleGe2tqoyNi1JhNeOXoU906bhmN33olOrxc+vx9rTCZUTp8Ot98PtUwGS0cHPuvpwd9vvx29DMNVtwDA7Oxs1La2cr4az1kswkW50YjvfOUr0CkUAnPN0pwc/JBnAMq/DgB4qbiYey9eRcn88eOhkcujzEPnjx+PqqIirGtoENyrUqMRD/GFGl7vdJnRiGaHA06GwVNHjmBWVlbU+RK1u2jkcnx78mR8+ytfwQNNTYLKlOFqNcalp6PT6415v4oNBiyZNAk/v+km/CI/H26/H8PCkbEkbBCXCi1FBBNEFDQvCIIgiGSBxA0i6el0u7n2mAyVCqPCi9nv19XhgN2OB2bMwDevuy5K2GCps1pRVVgYZSgpl0iweOJErOG1j9j7+pCmVOKlkhLoU1KgT0nBR2fPYnI46k6MY3feibwIk8yXS0uxsrYWM/T6mDGyqxsasLmwEPfU1go+q7fZRKsXDtnt8AWD2Gg2w6zXwxcMYvHEiQgB+Ky7GyqZDIFQCKkKBYap1VhdXx913rdaWiAD8Hh+PipdLugUCqQqFKhpaYHL7//CcPSxxwD0iwrPFRVh+8cfY5RWiy3z5kEmkUTdg0RVJJkqFSaFI16fLSrCD+rqBOJFicGAX5WW4qG8PNH7VW+zobKhATPCFSIlBgN+QxUbxCVEp9PB6XQO9TAIIqmgeUEQBEEkEyRuEElNW09PVGRrWU4Onpk7l3vvpwcP4qsjRsQ9Tm9E9Gin2x3l78A//tb587mfE5mPRn7e1tODtfX1mJ2djW9MmBCzXaO2tRXPzJ0r8A/pY5i41Qt3fPWrOHr6dNT7a00mLNm9G7P0eqwxmeD0+2OmwexqacHdU6diQXU1Rmm1qFu8GI8cPMgJKpFeGJ91d+PAqVPYt2wZHmhqwpRRo6IqRhKZobIVLY6+Pny/tjZKiNprs+EHdXV4cu5cbHzvPfH7FY75ZbdfWVuLreXlJHAQBEEQBEEQBEHiBpG8dLrdUcIG0C8KtH7ta4L3VAkqByINRONFwbKRseyiOZH5KP9zdswH7HbcNXUqZ7wZC6ffzxm3nvN4OIEhVvXCD+rqkJeVhZqWFsH7QH/6yqbmZoQAPDBzZtS5+NUgOoUCNYsW4ejp0wiFQpz/SKQQw0av1lqtWFtfjxl6vWjiSZXFgpqKiqg0lUhPjM/d7pgVNnttNkGLjhj89pdaq1XwPQ0G/CqhVKUSKqkU57xepCmVGJWkHjQEQRAEQRAEQZC4QSQx8QSISAZaOcByPtUYsdJZxI7tcDpRa7Vio9mM5ywWQQytGOlKJbdgXtvQgBuzs1E0dmxcc8614WNGtq6MT08H0C80RKaHxPP+qLjuOjyenw/FgQN4q6Wl31C0uhpZKSn4nxdewHfCBq1s5QQ/8WTd9OnQKRQIBIPYf/IkbszO5qorctLTka3TCQSBbq837v1IOY+YXyDx93g+iFUJsVUxhdu2YXZ2NraUlWFsWtqgnZO4fPB6vVi1ahUA4MUXX4RKpRriERHE0EPzgiAIgkgmKLOLSFriLVybHQ6UGY3cz1UWC9ZNny54D+hfnG6YOROfu904fu4cOt1uAOdXjcGms5Tl5Ai2iaxK6HS74QsGsWPhQlRcdx3qbTZOdBGDL4ywQs5TR45AliBKzxMIcGJFs92OBdXVWLxrF0yvvopmux2vl5cjEE5FYYlVDVJrtWJ1fT0s7e14pqAAlm9/G29XVAB//zvsDQ34dk2NoJqCrZxwMgw2NTejfOdOlO/cica2NnzzuutQlpMDQ1oaxqenQylyHekJ/vDVyOVR95klMnYXSPw9DpRYVUL1NhsnUtW2tuKu2lrud4i4uvD7/diyZQu2bNkCv98/1MMhiKSA5gVBEASRTFDlBpG0xFu4Vlks+Od3voN76+tR29oKJ8PA0t6OWydOxGqeQWizw4Hy6mqY9XqYs7JwpL0dW8rKzqsaA+hPZ2HbR7p9Pi4ZhRU2Ip/671i4kBtnZAsH0F8xwRdGWCHHyTBQJBA31DJZ3NYVAHi+sJCr8Ki32eJGtdbbbKg0mXDv3r0wZ2Vh8+HD+Ma992JsWhpmf/3rSNVqcchuR5XFgmERFSHsmP/1+ee464YbcH9TkyCed3NhIWbp9XD6/chQqZCpUqHEYBBtTSkxGJCuVPbH/NbWCr4btoJieU3NF/dQ5Hu6UOJVCbH3B4huWSKuHhQKBR599FHuNUEQNC8IgiCI5ILEDSJpiSdAzM7OxnC1WiA4aORyTP3DH0SPxS5QNzU3467aWmydP190ER1ZjcEnM4bngthTf7Z9gt/CwRp1auRyfGXYMLh8Phx2OJChUmGEWs3FwiplspgtNiXh6oVEYgUTCnHnfchshjyBYOINBGDOysK3rrsOSydNwn1NTXjRasWL77wDoF9cqFm0COPT0qK+k7KcHDxfXIx7ePeA3wbDT4NZMnEiflVaih/U1QkEjhKDAS+XlWFMSgoACL5XrVyOZrsdy3lVJPG+pwshUXsL3+tjMFthiMsHpVKJjRs3DvUwCCKpoHlBEJcn51pa4OX9bXOlIJfLoeRVCbtOnRrC0RBDAYkbRNLCtoMkEiDY/z8c0bLAR6dQYIRGg90VFfAEAjjZ14drUlLiVmMMhE63G219fVFP/fkeIGwLBzuOmooKfL+uLsp4s2bRIpTv3Im23l5B1QVLscGAF0tK0N7XhyCAmkWLuIoKdtHP+nAEQyH8/pZbMFythjEtDd4E5cI5aWn41T//2T92u120IkQmlWLr/Pmi9yyy8oFfWRLpDeLo68OWefPQ7fOh2+tFukqFkRoN9GFhA4gWkq5JScGca6654O8pEYnaW/heH4PVCkMQBEEQBDEU2F59daiHcMlQazQYkSBVkbhyIHGDSGoStYPwibXoZKsIfnLgAOoikzzKynD98OEXNDa2FeXuqVOjPovVjvJsQQEeO3xYMA6gv90BoRA2FxZCIZVimUi1x2itFvc1NfWbfoYpNhjwenk5164RK0L26YICLBw/Hrt4+7KUGo2wdHR8Ud1y6BDgdPZ/qNMBEgk3xpN9fQiEQujz+TBMo+G+i+NdXYJjspUl8YxMt8ybhykjRw7gTseumhks4lUJ8b0+BrMVhri8CIVCOHPmDABgxIgRkITnBUFczdC8IIjLE0NFBXTZ2UM9jEHFffo0Wrdvx2uvvYbJkydz748YMQKGGP53xJUHiRtE0jPQhW2sBWqlyYTnLZYon4fa1lbctWcPtpaXn/fCmd+KwqaD8OG3ozxTUIAOlwtMMIgMlQorw+kjkdRarf3ihkyG2VlZAjFgo9kcs6KCvUYAMX04ftjUhGcLCuAJBqO8LDYXFiLvT38CEG6/YBjgZz/r32DTJoAnGll7erCgupr7mRUpMiKEJbaNI56R6V21tfj9zTej2+tFt8+HDJVqyOJWY1UJ8b0+BrsVhri8cLlcGDVqFACgr68POp1uiEdEEEMPzQuCuDwZNmUKMngCwJVA72efoXX7dkyePBm5In+bE1cHJG4Qg0qn281VWQzGYvV8jhdrgVoYJ1q11mqFw+k87zHy2zBixdA6GQZHwk/82fOzRqOx6GUY5I0YgV+WluL7tbWcIDMQQ1D+ecS2OdXXh18WF8Pt96O1p4cb+/HOTq6tJTJqNRF8kWLhtdfihpEjYdbrkaJUombRIozWalFlsXDbR7aotDudePOTT7jWmrKcHPxvWRl0CsWg/h4NhMgqoVSFAiqZDOe8Xry/YsWgt8IQBEEQBEEQBDF4kLhBDBqRiSHAF60fY9PSLsnx+AvUcx4PPIEA/MFg3PN0er3nNa5OtxueQAA7Fi6ERi6Hpb0d66ZPByBsQSkJt4PM+vOfufc08vhTjm2tuTYjA3/8+tfxuduN7gGML02pTFgOrFEocMbjgTE1FSq5HD1eL0qNRmTyjJeaHQ4UT5iA+qeeihIihqnVcDIMZ3zKUtvaii6PB88UFOAHdXVR7ScNS5ZgQXU1nAyDbQsWoOr99wXblBqN2LZgAZbu3o0Dp07hRHc3Hm9uHrTfo/NBrEro2ot6RuJyQafTIRQKDfUwCCKpoHlBEARBJBMkbhCDglhiCBBu/Qink/AXjYkqMs73eHz4C9ROtxu23t64Y09RKPCfM2cgl0oxMrxvrPGJCS7FBgOmjxmDOddcw3lkTMzMRLpSidaeHoEQEAyF4keh8oQGfUoK9Ckp+OjsWZyI8LSIhAkG4U5gGhoIBjFCo8HdtbWYOmoUJ1po5HK8UlqKdU1NnFeIWi7HyqlTRf07WI8P/nU5/X78qKFBtP0kGArhrUWLUNvaiudE2oPqrFZIANw/YwaYYBCPHjoUfZwBfO8EQRAEQRAEQVy9kLhBDAodLhcO2O3YaDYLFs1smkeHy8UtSgdSkRGZvsGntrVVcLx4ZGo06PJ6UWY0ih6v2GDAjuPH0Wy3Y63JhB+/9x4ey8/H/4ikmbxcWoq19fVRx2EX4uasLCyorkZZTg63CFfKZIJzyyUSrDGZEOLtp1Mo8GxBAUyjR+PTri70+HwCsafb54vZ+gL0V0c0trVBK5fHvc7GtjaUSiS4R0S0KDMaUVNRgfLqaty1Zw+ali7FWhGxgu/xwd9fAoiODQD22mz4kdeLeTk52Pjee6Lb1Fqt+MmNN6LT44ndQnQe3ztBEARBEARBEFcXJG4Qg0Ivw8RM6ni9vBy94af8A63I6Pb54p7vnMczoHG19fSgsqEBq3JzEQiFoqJVWbNItgphrckk8Lrgj29lbS1m6PWiiSOs70Wk6aQ+JQVb5s3jfECcfj/uePttLgmFCQYxMTMTlQ0NAqNRvtiTrlTGTF8pMxrxQnExPunsxKRhw3BjVlbUdZYZjVhjMmHp7t0oHz8ezzU3i1ZYAEDT0qVwud14+P77UffJJ8D8+UBEKw3f4wPobys5m+D76PR6oUzg58EEg5wRaSwS/V4QxMXC6/XiwQcfBAA88cQTUPGqrAjiaoXmBUEQBJFMkLhBDArDVCps2L8/5pP+l0tLAQy8IiNWrCuLJxBAp9sd9yk+X0ipb2tDpcmEJ/Lz8VlPD9QyGZodDoGwUW+z4Yn8fNGWEQAxk1FYMtVq0bYJvg+IJxCAk2E4AWij2YyX/vEP8TaMPXvw67IyBEIhbC0vh1wqxVqTCeumT4fH70dOWho+6OhA7quv4vXycvygrg6HHA5BhKxaJoO9rw+W9nYA/Z4fsSos2OvzuFzY+bvf9b95yy2i27IiBCucMAl8TdQyGVIUirjbpCgU6EsgXiT6vSCIi4Xf78dzzz0HANi0aRMt4ggCNC8IgiCI5ILEDWJQ8AYCMRfN9TYbvOHFcKIn770Mg063GwqpNG6LRYPNhiydLq64wRdSWEFh2qhRWLxrV8x9ehKML15lwXC1OmHLhNvvR8OSJai32VBlscRNQam1WtHS1YWSHTu499hqk/87cwa//uc/OSEmS6fjXosd72+LFqGmogJtCfxHvIEAGIkEi3/wA+z4+GNAKhXdbkJGBv7vjjugkskw9Y9/7K9aifN9NTsc+PZXvhKztaY4nD/ucDpF43yB/mqW0Vpt3PETxMVCoVDgoYce4l4TBEHzgiAIgkguSNwgBoVenrlkvM/jPXnXKRTIVKmwrKYGB+x2vF5eHreVZMG18XMsxISURFGnaQkqAzJjPJWKXHizhqS9DINMlQr37t0rWPiXhNt1vAnaMORSKTaazVxUar3NBplEgueLi/HTgwe57RKJMiO1Wmx89924lSdAv2jRxzCYeNttKLbbY3p8GFNTOePV2dnZqLJY0LBkCYKhkKDyhf2+tnz4IdKVSjw8axYARH2nD5vNGKZS4dbrrsPNOTlRcb6R7T4EcalRKpXYtGnTUA+DIJIKmhcEQRBEMkHiBjEoJGoXYD8frdXGfDK/ubBQIAIsr6nhWiwAYJRWC6lEgvk7d8LJMAM+J594xpzFBgPsTmfcCoR0lSrq88iFN98wdaPZjGa7Hc0OBzaazZidlYVhajVUcjn6fD6kJriGXp8PzWGhh22hqbVao5JREokycqkUtVYrZuj1cY1JlTIZPu7owL9On8ba8H2PjLd9uaxMIDK8VFyMe/fuxYLqary1aBF+5PWi0+vlWn+2fPghXiwpwZiUFPiDQSy9/npB24zD6cSEzExck5oKoN8Elm3j6fb5kK5UYrRWS8LGZU6ihCSCIAiCIAiC+DKQuEEMCvFEC35VQ6ZGgy1lZaJP5mdlZeGe2lruPb43BQDsrqhAlcWCu6dMwZH29oQtCmJjYo05JYBohcEf//1vVBUVYXV9vWjFyPydO9G4ZAmkEonowjvSMNWs13PnfPnoUeTp9dj43nvcsTeazTGjYdl2DrGEEmdEpYzd6Yx5nDKjEaddLsH1A9HVE6tyc/Gjfftwz9Sp+MFXv4oXDh9G3tixnBCRqVJhfEYGctLTAXwh4hyw21FpMmF1bi4+d7lwbUYG9DodehkGKyZPxmiTibs/16Sl4dbrrhMIF7OzsqIWuZm08B1SBluIGEhCUrITCoXgCs8jrVYLiUQyxCMiiKGH5gVBEASRTJC4QQwK8USLyHYCvsEmXyA43tUV9xyesK/HQ2YzVk6dmnCxJTYmJ8Ngy4cfYsvNN8PNMOj0eqFTKBAKhdDp8WDS8OGw9vTAnJUlqC7gm49KJRJcP3y46DkjDVM9gQAqTSa8fPQoVk6dCq1cju9Pm4Z106fjkN2O33z4IbbMmwdAXGxZXlMDoF+I+EV+PmZlZeGQ3Y5hKpVAuLlrzx7UL1mCdQ0NguOUGAx4sbgYJ/v6uOtfXlOD18vLsSEvT1BhwV5fT18fmr77XQDAnR9+yMX6uvx+2Hp60O50Il2lwoGTJ3HAbo8Sodgo3K/E+H5IuEhuBluIGGhCUrLjcrmQkpICAOjr64NOpxviERHE0EPzgiAIgkgmSNwgBo1YooXYwkVsgZsefvoTC9YvQyOXY2y4hSEW/CfPmwsLoZJKcc7rRapCITqm/3z+OfbabDDr9chQqXDE4RA15kxkasn6fOgUClSaTBiXloaRGg0WXXcdLO3tWNfUxFVdFBsM/TGxe/bg7ilT8HRBAVq6uzE2NRXeQADtTie2LViAQ3Y7qiwWtPb0YPGuXSgxGHDXDTfgf8vK8L2wcHPa5ULx9u3YvmABni4oQKfHg1Slsr/N5o038NdvfpOr7HAyDCSAwKiUT9PJk9zrxbt3Q6fTcTG/kdUe/HYZFn7qDXF5cTGEiIEmJBEEQRAEQRDEl4HEDWJQ+TJP5eO1trAtGkC0qWdkCb1aJsOa+nrsamnhtkn05FmlUKBw7Fh0er045/Fg05w5SFMqMWn4cJj1engCAQxXqzE+I0PQghJZup+hVEKnUHBiAF8giRQDWKHg7ilTsKm5GfNyciCXSvGjiEhddj95uNx3r82GlXV12Dp/PicmnfN4oFMosOP4cc58lE/pG2/gwPLlnKdJvNQXKBR49R//gFomw+J33kGlyRQlbAD9/iVL+/pQe+utsDud0MjlnBCTKBWHSE4SCREOp/O821US/S5cLr8rWq0WfeEKKC2l9hAEAJoXBEEQRHJB4gaRNMRqbeG3aERWToiV0JcYDFhjMqG+rY1b5Md78tza3Y3v19YK2jnmjx+PZwoKsLq+PqrlYktZGSQAvidSuv9yaSleKCoSFQP43hlVFgsqTSaY9XqkKJWYlZWFMVotfn7okOh+EgBrwgaf7PV0uFy4fvhw7noOnjoVM1b2tMuFM243fllSgl6GQTAUEt0OACCRICszE2kqFXZ84xsYl54edVy+gFNfV8e9zwoxGQkMTonkJJHQ0NLdjQXV1dzPA2lXuRDj32REIpFQyT1BREDzgiAuT861tCRM7LvccIcfgh47dmxQjztixAgYDIZBPSZx8SBxg0gq2NaWU319aO3pAQDOD2J2drbAvyNWCf1emw0hCA04AfES+E63GysjhA0AmDZqFFbt3Rv1PiuS3HrddaKl+yvr6vDM3Ln47z17RK+v3mbDuunTkafXCyo7dAoF3l22DHUxnprvtdlQOX264L1unw+dbjfOeTycYHFg+XLUWa146sgROBmGa48x6/XwB4Pwh0JIVSiw7eOPY6bClBmNGKnRYNbrr8PJMNixcGHUNrGqOeptNkglErxUUoLDDsd5m1EmU6JGMo3lUnG+QsNA2lUGajZMEARBEMSlwfbqq0M9hIuDRIIVK1YM6iHVGg0+/ugjEjguE0jcIJIOtrUlOyUFHS4XRmq1/akbEV4Z8Uro6202VJpMgsW9JxCANxBAp9sNoL+agQkGMUOvx+rcXM4485DdjtlZWTGrIGpbW/HYTTdhx8KFglYMJ8PgwKlT6PZ6415fmlKJ/3fwoEAYqDSZcCpc2hsLt98vuJ5AMIh2lwtr6usFIkyZ0YhtCxbgv995B1vmzYtqjykzGvFMQQFuzMpCIBSKaoH54de+htUPPABnWxtQWsp5nfAx6/WCY0be516fD7s//RRVFku/KDUAM8pkStRIprFcSgbaGsYnkW/G+ZgNJzM+nw8/+9nPAAA//elPobxMKk4I4mJC84IgLk8MFRXQZWcP9TAGHblOB2VGxqAdz3XqFI69+CLOnDlD4sZlAokbRNKSyL8jUQk9EwyKel+UGY3YkJeHQ3Y7Fk6YgGa7PcobY+mkSdApFFHeFSyfhc09dQoFni0owL6lS9Ha04OctLSE4oZWLo+qCDHr9XH3AfqNVPnXs9FsRrPdHlU9UWu1IgRwwobY55+73VhQXY1KkykqFeabO3fC9Yc/hG9GMZodDhQbDILj8D07BuIxkujpfjIlaiTTWC41MYUIoxGrcnO59J5IEs3F8zEbTlYYhsFjjz0GAHjooYdoEUcQoHlBEJcrw6ZMQcbkyUM9DIIYdEjcIC5bEpXQj01NjTLnBPoX94FQCC8UF2NtQ4Noa8UPm5qi2lr4qGUywaJ+Zdh3YndFhagYwFJsMIAJBqPe9wQC+Ofp0zH3KzMaEQyFBGJFZPUEnzqrFc8UFAgibflVJkwwGBXhyhEM4pt33om/fPIJIJWiymLB6+Xl3L1hr58lXosK+/mm5ua4T/eTKVEjmcYyFIgJEQqpFFP/+MeYYt9A2lku9whguVyOtWvXcq8JgqB5QRAEQSQX9C8RcdkyWqvFK2Vl0Ot0UYv3WXo9vIGAqFAA9C+8fYFATI+LWqsVD8ycKbr4Z8vzxRb13kAAv/nwQ7y1aBG6vV50er3QyOWwtLfjmtRUTB05En0Mg5pFiwTtLGqZTFREYM/3QnEx+ngJKwCiEk/4rSGsSZQxNRXLeFGtpeGWlZHxFplyOR5+7DH85bXXAABOhsHymhpUmkx4Ij8fn/X0YIxOh1KjEXVWa1yRhW0PAuI/3U+mRI1kGstQESlEdLrdmJ2dfVX7ZqhUKlRVVQ31MAgiqaB5QRAEQSQTJG4Qlw1ika81J04IIl+LDQbULFqEcWlpaOvtjX+8BO0jark8yn+An9yytbw8yndifHo6tsybJ6gY0SkUqKmowOOHD+N7PKNRfttGs8MBs17PiQj8VhF7Xx/6GAYt3d3C8fGqJ2K1hswfPx5NS5eiw+WC2++HRi6HvbcXEzMyzqu6xMkwOBL2W9jU3AydQoFtCxZAgmiRJRL283hP95MpUSOZxpIsxGpXWXjttXi+uBgdLheOd3VdNcarBEEQBEEQRPJB4gZxWTDQyNd6mw0yqRRb58/HiAQLrHSlEhvNZs4EM9IcNFWpxC9LSuD1+9HLMNDI5dj+8cdYHq6EiFzUV5pM6PH58HxENUelyYRHm5sTRsOyAkikb8VakwnWnp4oY09++4tYFYlOocDKqVOxYf9+gcdHscGAuWPHYn04fSWySmStyRQVD1aWk4OXiosx7Y9/BNAvdlja2/GtiRMxLoHBplomS/h0P5kSNZJpLMlEZLtKhlIJlVyOe65C41WCIAiCIAgi+SBxg0h6LjTyNd4idf748VDIZDgsYib6enk5thw9iupPPsEjBw9yi7UUhQJH2ts5ISVSbDDr9ehjGFGz0FhtG80OB14sLsbiiRPR4XLhkRtvxKY5c9DW2wu1TAZ/KASpRIJMtRpKqRQvl5ZifVMTnAwjaGMRO0c8L4zV9fV4au5crDWZsG76dLj9fs5Q9Nd//zv+dtttAIDGEycwJiODW9AXGwy4YeRImPV6pCiVcDIM7E5n3CoQh9OZMBUjGRI1+JVBzxYU4KDdjnWNjdz3fbmle1wM+O0qnW43ltXUXDXGq06nEykpKQCAvr4+6HS6IR4RQQw9NC8IgiCIZILEDSLpGUjkayTdPh+uHz68f8EcIYwUGwx45MYbURnDTFQC4Bf5+Zi7bRsA4WKNvwCPNA6N1Z4R6322lWRNQ4PA+6PYYMC66dMRAqLEiTKjETUVFSivrua8MDYXFCBDpYo6fjxRpdZqxereXjxvsWCNyYQ73n4bToZBmdGI5wsL8bfwdjPGjBH8sfpsYSG+X1sb1fpSVVQUdT/LjEa8VFKC4Wp1wkVup9sNF8Ngc0EB/KEQnAyDTJXqkiVqxIp+/ed3voNOrxepCsVll+5xsbnajVcJgiAIgiCI5ILEDSLpSWTgKCYesL4IY9PS8MuSEhw7d04Qd9rhcsU0G91rs6Hd5RIkQ7CLteuHD+dK83sZBnd89au4r6kJN4wciXFpaQiJHC+ywoMlXmWFTCLBk3PnwpyVhWaHgxsLG/P63vLlOB2uTrF0dCBNRNwYiBfGXpsNUokE9YsX43O3Gw6nEyPT0nD69Gl0ud2wud3o6elBhkqFNKUS6xsaoipT3gp7nqyN8AqZPGwYrs3MjDsGILawsKWs7JJVbMSKfr23vv6Kq0AYLK4241WtVovTp09zrwmCoHlBEARBJBckbhCXjEhD0FjGg/ztUpVKaBPEy0WKB2VGo8AXYZhajRf+8Q9Bu8OOhQvjHtPt90e9xy7WIpMknisqwspwNcNGszmqRaPZ4cD88eMxbdQogb9HhkqVsLKi2W7nTEdZgaPOakUgGMSiv/4Vby1ahEAwCJVMhjKjUbBAjyWqRH5ea7XikdmzMUanwxidDv85dw4ZajUOdXZiXbhCBOi/r6tycwUeJyxvtbTg+1OnYkF1df+2OTnYOn9+3PMD8YWFS9XaQBUIF8bVZrwqkUgwcuTIoR4GQSQVNC8IgiCIZILEDeKSEO/pPN94UGy7l0tLoxbu3DGMRuh1Omw0m1FlscCs1+OlkhLBYjRTo8H/lpXh7dZWLjZ2XHp63PGKCQP8xRorwARDIaxrbOTGJhbn+psPP0TT0qVYU18vEDN2V1QI4lsjTU09vCjbSF+RXp8P2xYsQLpKhTnXXIP8rVvRtGQJ3j11ClkpKfAEAhimVuOV0lKsC3t08GHjbHUKBR6YMQPD1Wqsqq+Pao/hCyu1VisCoVDUWFjYSpHz8aZIBmHhaqtAGCzIeJUgCIIgCIJIJkjcIC46A306H2u79U1NqKmoQAiIWnyvys3F3G3bMDsrC5Zvfxt/dzgwXK3mzsu2j2SqVHjj44+5Y280m1FiMES1WLDHbQ7HnrLwF2sne3rw9mefQZ+SAr1OJxgv64Nx/4wZ+Nns2QiFQhiu0aBSpJ1DJpGIxreyooJcIgEg7ivSxzBYUF2NMqMRj86ZAwAIhELY8fHHgvNEenSwx19rMuGuPXvwenk5HH19+J+9e7+oNvH7gX37UA8g6PcLxIx6mw0/mz2bS5ThMyEjA8fuvPO8vCmSQVi42ioQBotkMIG9lPh8Pjz11FMAgPvvvx9K+r0gCJoXBEEQRFJB4gZx0Rno0/lY2zkZBuXV1WhauhSPz5kDh9MJoL/dg19VsGrvXm5Rxa8A2Wg2o9luF7SK8CssIsWADWYzynfu/OK9nBz877x5AIBjZ84gCGDH8eOos1qx59ZbRa8rd/Ro/PTAAdTbbNhdUSF6XUEgKjYW+MLUtDIc1QoI/TP44gtbTbFl3jysb2qKElBYj47m225Da0+P4L6xnh+VJpNwDMEg8M47AIDGOXOwPi9PcMxOjyeqVaYsJwfG1NTzXtAmg7BAFQgXTmQ8bLpSecUarzIMg4cffhgAUFlZSYs4ggDNC4IgCCK5IHGDuOgM9Ol8vO2cDIPWnh6MS0vjfB0i2Wuzodvn4ypADtjt2Gg2o2LChKg2CrbCotJkwjOFhXD7/dzCDADeX7FCsFjrYxgsq6nBDL1eIJSwVSJ8Io1CYxl7ZqpUopUj7LX8bPZs7me2TYatulheU8N9Vm+z4Yn8fEFVC586qxVn3G5cl5mJVXv3cudk01S+P22acAepFJg5k3stNn5WFNnU3PylntQng7BwtVUgDDaRHjRXKnK5HHfddRf3miAImhcEQRBEckH/EhEXnYE+nU9VKOJup5bJ0JNIKPF6oZRKcSBsxPmcxYJpo0aJbutkGGxqbsaCa69Fnl4v+Ixtk+lwueBwOjlfjdW5uQKhhAkGowxEIyNYYxl7+oLBuNfCfl5mNGJsaip2V1QIqlX4JLovMqkU9zU1IS8rC2vDiSYp4fseNT65HFi8WHT8bNVIvc2GpwsKsGLy5C/1pD5ZhIWrqQKBuDBUKhV+85vfDPUwCCKpoHlBEARBJBMkbhAXnYE8nW/r6cGBU6eihAIWdlFdMWFC3HOlq1To9vkE1RORfhVR+4iIL2xbywG7HU1Ll2J1bi7unjpVYF7qZBh0ejxYazJBJpFwrSeRlQ7NDofodaUkEHNSFAqUGY14trAQPT5fzIoVAEhLICBpFQq81dLCxbYC/Yam8cYH9AsrbAtMicGAqqIi7DpxArsrKtDr80EzCJUVySIsXC0VCJcrA01bIgiCIAgiPudaWuCNUVlMfIE7/DfwsWPHBvW4I0aMgMFgGNRjEv2QuEFcdBI9nQfACQmRSSMAUGo0YnVuLpbX1KDUaIxpBFpiMCBTpYJSKhVUT8RdvIu0PnS63Vi1dy9mZ2fj2cJCrGtsjJkicsBuxz9Pn8bPZs/G6tzc/iQWXvoLIJ6gAgAKqTSumJOqUGBVbi6Ktm/Hz2fPjpkYU2IwwO50xjxWqdEIRdiclE+zw4EyozHm+EqNRlQVFeGjc+e4qpGH9u/H/GuvFQgtZTk5eLm0FF6/H10XuPAcbGGBFsJXFgNNWyIIgiAIIjG2V18d6iFcPkgkWLFixaAeUq3R4OOPPiKB4yIgCYVCoaEexKWkp6cH6enp6O7uRhr9UXxJ4S84+U/nPzp7FpN/9zsAiIpGVctkuC4zEz0+H1IVCozWanHO68X3a2sFAgdbVfD/Dh7Ek3Pn4l9nznALcJ1CwbWo8BfvrLgyNjVVMM6Pz57F8a4uOPr6sP3jj2OKD+asLFRZLNi2YAE0MhmKd+wAAFEDU/a6CseORSAUgi8QwMSMDNidTjza3CzYtthgwMNmM9JUKjywbx/WmkxYU1+Pv37zmzjjduOc18tFxv7r9Gn8Yu5c2Ht7MUqnww+bmoQLQKMRG/Ly4Pb7sXj3bsG91crluC4zE+saG9HU1vbFZy4Xvp2Xh0AohG1HjmBR2FyUZXdFRVQVSYnBgLysLE5QGsqFJy2Eryw63W4sq6kRj4LOyeHSli42TqcTo8ItbqdPn4ZOp7vo5ySIZIfmBUFcXrDrIENFBXTZ2UM9nMsCuU4HZUbGoB3PdeoUjr34IiwWC3JzcwftuEQ/VLlBXDJiPZ3nG4myPhh8mm+/XeCJkanR4Lc334wzbje6vF6kKZWwO50o2r4dp10ueAIBPHrTTYJjsuahlWG/ieszM5GuUsHp8+Gww4EMlQppSiV6vF587nZDp1DgqyNGoL6uTvRa+O0uEvR7WrCVFWKVEE6GQbPdjjy9HstrajA7KwsPz5oFl9+PJZMmceNSy2Sw9/XB5fej0+tFvc0GtVyObQsWYH1Tk1CcMRrxXHExfvLuu/j5nDk4fu4cNs2ZgyfmzoXT50OqUonDDgfKq6vxwIwZqKmowKPNzYL7W2o04sm5c+Ho64PT7wcA/L29HR63GwBwKCISFxA3SN1rs2Etr/0nMub3UjHQ2GHi8mGgaUuXApfLdUnOQxCXEzQvCOLyY9iUKciYPHmoh0EQgw6JG8SQcyFxoE6GQW6Mkrpdn36KZwsKBD4ffNFk4fjxeLKgAN/bs0fQblJiMGBNOInEyTCcJ0UsMlQqfPDtb+Nkby/OuN14PD8ft7a3Y11TEyemPJSXB5lUCoVUCqVMhrbeXmwtL4e9rw9yiQRLwtUUWSkpAACJRAJ9SgokADLVatQsWoRgKIRHDx2KqiCptVqxtr4eM/R6rNq7F2tMJsx47TW8v2IFFDIZvMEg7gmLMyEAjx0+HHWMOqsVD+7bh1snTuS2RTCIG194AXfecAPWfvBB1HXzDUb5lTY6hQI1ixbhkN2OKovlki88geRaCBODw0DTli42Go0Gn332GfeaIAiaFwRBEERyQeIGMeRcSBxoogXNOa9X1Oej2GDAj2+8Effu3Ru10N9rsyEEcBGnMokEG81mro2DbQWpslj6x63TYdXevYLFdKnRiMO3347jnZ1QSKU40dWFa1JTcec77+DuKVO4Y12TmorROh0Kx47lRJeY7TNGI1bl5qKhrS0qJYWf4PKL/HyUGAyoPnECVRYL9tx6Kzf+FKUS08eMwezsbEgA5I4eLbim/xo5Eu8tX45OjweZajX+78wZVDY1wRVRpcEau0aOl18NwvckuVQLT5ZkWQgTg8eFiJ8XA6lUipycnEtyLoK4XKB5QRAEQSQTJG4QQ86FxIEmio1NVSi4FI6TfX2w9vQA6DfR7HC5RH00gC/aTXQKBYZrNDhst4su3M+4XFHCBtBfCbG+sRGrcnOxLFwBMn/8eOyuqMBD774rOBbrEyIBsLulRZDwwqfWakUgFOJEl0jYNhEnw+CJuXOx+9NPYUxNxUiR8bMeHOXV1ZxQUmwwYOmkSSjZsQNb5s3D44cPY+XUqTDr9VEeJRvy8lC+cycAxBwv+3OlyXTJFp4sybIQJgaPCxE/CYIgCIIgiKsP6VAPgCCAL+JAj915J5pvvx3H7rwTW+fPjzL7BCCIjRWDv+DJ1GgQCIWwrKYGzQ4HzHo9tPL4mp4nEOhvKXn33ahUlnqbDc9bLDCNHh27/cFqhVYux+vl5dApFJg2ahQefu890UqR9Y2NuG/GDLy3fDkqJkyIK7qYeb4jfNg2ESfDYOcnn+Cm7GxsX7gQq+vro8Zfa7Xi0eZmQTxuvc2GHzY14e4pU7C8pgY3DBuGmt//HrnHj+P9227Dwdtu476PCenpmB02oIoUPyLHW2QwXPKFJ7sQFoMWwpcnrPgZ+b3GEz8vBgzDoKqqClVVVWAiKqgI4mqF5gVBEASRTFDlBpE0DCQOlDWMjBUbK7bgcfv9gvaJRF4aaplMECUbyV6bDee8Xu7nyIQXjVyOYWo1ZF4vdn7jGxiu0cQ8FttWsqymBjWLFsUdl5iRZ7HBAEtHB347bx6uSU3lxuDx+2OKL3wzVP441oQrQ35x8CDw6KMAgFtXrMAs3qIyU6PB1vnz0eFy4fOw6Wgs1DJZ3O/zYsS1XkgVEJH8sOKnWNrSpcLn82HdunUAgLvvvhuKBNVjBHE1QPOCIAiCSCZI3CCSHv4iWCuXY4ZejwN2e1QCilomw+Rhw6KqPYap1fgxr3LC0tHBJZtEUmY0YpRWC28gENNvw8kwSAn/ATdKq8Vbixah2+tFZzii9f32dhhSUzFl5Ei09vRguFqNjWYzt28knkAAToYR/YxPpkol+Jltaznn8eDRQ4fw33v2cJ81LV0q2DZSgNHrdFFj0ikU0CkU/T9/7WuYO3YsuhkGjr4+6MOGpwC4BaUvGIw73rQ4LSAXM641GRbCxOAzEPHzYiKTyXDbbbdxrwmCoHlBEARBJBckbhBJjdgimG9YKRYbe23EMbyBgKC6QwJgQ14eAqGQ4P1igwEb8vJQb7Vi4YQJaI7ht3HXnj3QKRRoXLIEo7RaVDY2ClJXyoxGzM3Lw9xt2wS+FuyYI0UMtq3kkN2OYoNBtNWjxGCAy+/H7ooKTshpdjjwd4cDr3/0keD8QL9QwX+dyPjTyTAIBIN4YMYM+IJBFN52GwKhEIZrNKj59FPcMm4crgmLDux3MkOvR6nRGHVu9tiHHA5kp6RELUgvRVzrUC+EiSsPtVqNP/3pT0M9DIJIKmheEARBEMnEkIsbL730Ep566im0t7dj6tSpeOGFFzBz5syY23d1dWHjxo3YuXMnzp07B6PRiKqqKnz961+/hKMmLgWxFsF8w0r+Yl2nUGCEWo2Pzp5Ft8+HVKUSKqkUfREJGbmjR6O8ujqq6qPZ4UB5dTWali5FZUNDTKPMultvxdr6eszMykKz3T4gA9BYY+anj1RZLOKtNuG0FDFhZHdFhai4wB6bbUFJZPzZbLfjvVOncOvEiahsaIga48RhwyCXSnHO40FLdzfWmEywtLdjc2Eh1kbcq2KDAWvDkbpzsrOjRAaKayUIgiAIgiAIYrAZUnFj27ZtWL9+PX79618jLy8PVVVVmDdvHj7++GOMGjUqanufz4fS0lKMGjUKb7zxBrKzs2G1WpGRkXHpB09cdOItgiN9I3QKBd5atAj/E5FgUmww4MXi4i/aLfBFG0gsHwwAUUac/POecbtRZ7NxHhUDGR/73rrp07mfSwwGPFVQgJtefx1AvyEo22rzUF4eFDIZUhQKyKVSzPrzn2O2tIjxt5YWPGw2A0Bc/5B6mw0b8vKw8Npr8c5nn2FdY6OoiapMIsGtEyfinro67v1igwGFBgPMWVlRItHymhoAQDAU4sQm1lejN0H7DcW1EgRBEARBEARxvgypuPHss8/i7rvvxp133gkA+PWvf4233noLv/3tb/GjH/0oavvf/va3OHfuHA4ePMiZVlG++pVLokUuf2H/QlERHmtuFq3yWNPQgM0FBdzCXJ2gL7gvweKbNRONJSyIjY8lXanEzm98AwqpFM0OB+QSiSB1xMkwOGy3I0+vx/K//AVOhsHexYtj+nHEupYnjxzB9DFjsHTSJKQkiD8NhEI463Yjd/Ro/PTgQcDnAx57rP/Dhx4ClErUWq34yY03cm0xrAcJEwyKCidsK8y6xsYoX42XIsQmsXt0PlwMY1KCiMTpdHL/3rS2tkKn0w3tgAgiCaB5QRAEQSQTQyZu+Hw+WCwWbNiwgXtPKpWipKQEhw4dEt1n165dmDVrFu6991789a9/xciRI3HbbbfhwQcfjGlk5fV64eUlW/T09AzuhRAXjUSL3HFpadixcCGGqdUYpdEIDDX51FmteDw/n/OHaHY4YnpbFBsMUEjjJySzgkIikUTsc28gAEtHBycIlBmNeCI/H3KpFB0uF2QSCRrb2gQtKI1tbSgxGESrSex9faLmqE6GwS//+U/cP2NGlBFpJMPUakgAhNAvSjh9PsDpjNqu0+PBgupq7udigwHfnDBB9PyVJhOet1iio2hbW3FvfT02FxbintraqHOcb1zrxTQmJYhIzpw5M9RDIIikg+YFQSQvtA4irjbir+IuImfOnEEgEMDo0aMF748ePRrt7e2i+7S0tOCNN95AIBDA3/72N/z4xz/GM888g0fDsZViPP7440hPT+f+N3bs2EG9DuLiMVqrRVmMypxigwHVJ05g8a5dKN6+HV28/3CL0drdjZl6PXZXVOCWcePw69LSqGOXGY3YXFgIjVyOBePHY6PZjN0VFdixcCFqFi3CRrMZC8eP5zwyWJEk1vjY7fjvNba1wazXc+/1+HyY/tpreGDfPgxXq1GyYwc2NTcLqhqqLBasMZlQZjQC6BcgNprNqF+8GJOHD8cTc+fi5dJSgYlomdGIJ+fOhZNhUNPSwu0rNs6/nDiB6a+9ho3vvovXy8uh1WiA++7r/588tv5Zb7PhkYMH8VxxcdR9KBw7NmZrT21rK2bp9dH3/zzjWhMZk3YmiKoliPNBo9Hg3//+N/79739DQ5VBBAGA5gVBJDu0DiKuNobcUPR8CAaDGDVqFF555RXIZDKYTCacOnUKTz31FH7605+K7rNhwwasX7+e+7mnp4cm9mVCpkaDLWVluKu2FrWtrdz7fMNKlkStFyqZjKuWOHbnnVDLZLj1uuuwJjcXKQoFAsEgGtraMOvPf4ZOoUDT0qVYU18vaLkoMRjwq9JSbNy/H0B8A9ANeXkoD1c56BQKPFtQANPo0Wjt6eFiWP95+jQngNRarVidm8ttz49tZeNlf37TTag0mXBNairua2oSjK3UaMTh22/H8c5OruVl5muvYWt5OR47fBgNS5YgGAoJBIfI+1hrtSIYCmHdjBnYFNFSIybWAMBbLS34+ezZWDJpEp7Iz0drTw9UMhkCoVDc78Pp93/puFYyJiUuJVKpFF/96leHehgEkVTQvCCI5IbWQcTVxpCJGyNGjIBMJkNHR4fg/Y6ODowZM0Z0H71eD4VCIWhBmTx5Mtrb2+Hz+aAUWeCqVCqoEpTlE8nL2LQ0bJ0/H219fTje2SkwrORXN2jk8ritJuzCvMxoRLpKhTvefhu1Vis2ms1RiSf3z5iBtQ0NUZUHe2023Lt3Lx7Pz0dxTg6yUlLABIN4Ij8fgVAI3kAA/mAQ6UolalpasLW8HEwwiImZmahsaMBKnhlnicGAqqIi/PXECc7HIislBT+78UaYxozB5vffj0osWXb99VBIpbivqSkqIaXOasW6xkbMzs7GIwcPcu9nqFT426JFUMnleLmsDJ91d0MWTpARu497bTb8KC9PcO4yoxHPFhbizePHRb0yXH4/bL29WN/UxH22u6Iizrfa33L0ZeNaE3mykDEpQRAEQRBXM7HWQedaWuBN4B1HXBzc4TXJsWPHhngk/YwYMQKGGJXolyNDJm4olUqYTCbU19fjm9/8JoD+yoz6+nqsWrVKdJ/Zs2fjz3/+M4LBIKRhX4Tjx49Dr9eLChvElQG7AL5/3z5BBQdLWU4OMpRKPF1QgAf37YtKS2GrE4oNBmwwm+FmGByw27HRbEbFhAlRhpglRqNAIOBTa7XiKakUuz/9FDUtLdz7pUYj1k2fDkNKCg7Y7dh/8iR+evAgNprNeOkf/4gSXfbabFjf2IhvTZwo8LF4pbQUz8eIbV1dX4/H5syJEjb4lR7pKhVmjBmDg3Y7qiwWdHm93PEXjh+PH994I/oYRnDOSOShEDZKJOj2eFD8rW/h/TNnkPenP8Gs1+P18vIoQSRTpcKR9nbBe/F8Tc7XVyMWiTxZzteYlCDiwTAMfv/73wMA7rjjDs7UmiCuZmheEMTlie3VV4d6CFc3EglWrFgx1KMAAKg1Gnz80UdXjMAxpG0p69evx3e/+11Mnz4dM2fORFVVFZxOJ5ee8p3vfAfZ2dl4/PHHAQA/+MEP8OKLL2Lt2rVYvXo1PvnkEzz22GNYs2bNUF4GcQlgW1RW1dfjhpEjuZaN4Wo1rs3IABMM4qfvvYcZej1W5+bCEwhgmEqFsWlpOHb2LLaWl6PZ4UD5zp14b/lyvF5ejucsFkwTiRxmgsG4Y7H19OCeqVPR2NbGLejrwi0dLxYX44aRIzHnmmtQ2dAQN4aV34oC9IsUXxs9GvqUFNw9dSqXSFJlscDJMKizWvHYnDmCY7CpJM9ZLFGVHjUVFdh/8iT33q6WFgQA/GLOnKjUE/YcAKACsOmHPwQAvCiRAGGRgBUqKnkRuGU5OdDrdFHtQ1UWC2oWLYJMKhUIUufrqxEP1pMlluA1GAIKQbD4fD7cc889AIDbbruNFnEEAZoXBHG5YqiogC47e6iHcdUi1+mgzMgY6mHAdeoUjr34Is6cOUPixmCwdOlSfP755/jJT36C9vZ2TJs2De+88w5nMmqz2bgKDQAYO3Ys9uzZg3Xr1mHKlCnIzs7G2rVr8eCDDw7VJRAJ6HS74XA6cc7jQapSiRSlEsNUqgta3I5NS8NzRUVYWVsrbJvIycGGmTNR39aGXeFqCraaoXDsWKjlck6w0CkUkEsk0CkU2JCXh2tSUqIW+qkD+OPsOYtFsMgH+hf/DqcTRdu3c74diWJl2bhYnUKBbQsWYOO77woqT0qNRmxbsAD//c47uHvKFMgkEuxYuJAbq1IqxXMxKj1kEgnmjh2LjWYzzHo91yKzPiKetdhg4CoyZmdnQ6tUAmwPdfhe8T1AxqenAwD+9fnneLGkhGsvEfPQ+LK+GvGI5ckymAIKQbDIZDJ84xvf4F4TBEHzgiAuV4ZNmYKMyZOHehgEMegMuaHoqlWrYrahNDU1Rb03a9YsNMd4Ek4MDZ1uN7eAzVCpMCq82BWL6Sw2GPDwrFmYkJ6Oa84zqrPT7cbK2lrRdIxAMMiJDbGqGUqNRuxftgwtXV2QSCQYplZjVX19lMnmd7/61YT+HfU2GypNpqjPJWExwMkwaO3pGXBc7P0zZuA5i0XUS0MC4G+LFuHB/fujqjOeKyrCk0eOiB67Nlzpwe4Xq0Wm3maDVCLBC0VFKMnJgb2vD7jjDgCxK0PKjEa8XFaGsamp3HuxPDQupsjAerJcLAGFIFjUajX+8pe/DPUwCCKpoHlBEARBJBNDFgVLXBm09fRgWU0NJv/udzD/6U8wvfoq3vjkExw/d040prPeZsOjhw7h7c8+O++oznjpGPU2GxexWmkyiVYz1FmtuHfvXhyw2/HeqVPY+O67Uaah9TYb7mtsxNMFBVHxqax/R5XFAuCLqgs+gWAQr5eXY3dFBXLS0uLGxZYZjZzRaYnRGCVssNRarejyekVFifWNjaIiC4vD6eT2M+v1ooIN0H9vpo8ZA7fPB5VMxsXN7rn1VkgArJs+HRvNZi5uttZqxcq6uqSIW83UaHD98OHI0+tx/fDhJGwQBEEQBEEQxFXIkFduEJcvnW63QMDgP+XX63RxhYhKkwkOp1OwEI1VAcJyzuOJOx5WbIjnc8GvuIi1ze6WFjw6Zw6emDsXq3t74QkERFNaIqsyig0GNLa1oXDsWJTs2MHFva4Nn48vLJQYDHhi7lzc9PrrABL7fHR6vaLvR/p2RJKpVnNtN4nicq09PWh2OKCUSlFTUYFHm5ujKkX4hqIUt0oQBEEQBEEQRLJA4gZxwURWUvArJr4/bRr3fqRng0Yux3C1WhDVKdbCUpaTgy1lZRibloZOtxsevz/ueMalpWHHwoXQ63TYaDYLTDL5iFVcRNLt9UKv0+GFDz4QFWlKDAZ80NHB+VkAQFZKCnZ/+il6wtdVZbHg9fJy/OHf/8ZakwlP5OfDyTAYpdXCFwyi0+PBrooKNNhsCX0+ErW3iFFmNOL/zpzhImgTxbMC/cLQIasVt0yf3n+/f/jDuIaiFLdKXC24XC585StfAQD85z//gZYMawmC5gVBEASRVJC4QVwwkQtbfsUEuxiP59nwQnExgOgKEJba1lbcVVvLeSo0tLXF9MIoMRhQfeIEd47IKgM+apkMEokk7rX5AgFM++Mf8Xp5ef9Y+KKL0YhNc+ZAI5djXWNjVHXDrRMncu0b//r8czw8axZO9vaiw+XCKK0WP9y3D2/xYmTLjEbc+V//FTs6lde+IoZep4vat9RoxIa8PJTzIl+bHQ6UGY2CShtWdAKAYWo1UhQKDMvJwWOffy56rkivEYpbJa4WQqEQrOG5EwqFhng0BJEc0LwgCIIgkgkSN4gLJnJhy6+IYL0mzFlZov4XtVYrVtfXY2t5eVwvDbb1odvn4yohgOgWjzUmE5bX1HDvsZ8/MGMGfMEgVzUyTK2Gx+/HaK0WJQZDlOcG0C8mZKrVeL28HAqpFE/OnYvHQiGcdbsRCAaRk56OQ3Y7/nzsmKgPxrrGRmxfsADGtDSsa2zExvfeixprEy9GttZqxfqGBjxdUIAfNjUJjlkcbl/5Ce8YfIoNBtS0tMCclYVKkwmeQADXhaNxC7ZtEwg7VRYLDt9+O9Y2NKDZ4YgpOj0zdy7U69f3V27Io/8TwX7PFLdKXE2o1Wr8/e9/514TBEHzgiAIgkguSNwgLpjRWi3KcnK4GE5+6wQrRGjl8pjeFrVWKydcxKOXYTBCrcbW8nIwwSCeyM+HJxBAu9OJnLQ0VJ84IVqh0exw4LmiIqxtaIhKTfmx2YzK6dMRAqLEhDUmE9qdTjxvsUQlqayfPh27P/0U83Jy8L09e0THW2e14tGbbsLahoYo8WOvzYYQEBUju6ulBY/Mno2lkyZxIoVaJoO9rw8dTidWTpsGl98vOF6Z0YhVublR1/7usmVod7mi7oeTYfDm8eNYMmkSfpGfj4fefVdUdLpv3z7cV1ER83tTy2QUt0pcdchkMsyYMWOoh0EQSQXNC4IgCCKZIHGDuGAyNRpsKSvDXbW1qG1t5ao16m02OBkGy2tqsPMb34h7DDa+MxajtFoMV6vR2t3N+XVUnziBf54+jZVTp6K1pyfmIrzSZMK6xkbR1JRgKIQigwG/yM9HMBTCaZcLQL8gYmlvx/6TJ6P2a3Y4oJXLUdfaivEZGXGvK1KI4BMrRraluxs3jByJM7wEEltvL9aHI5ErTSb8Ij+fi5jV63R4q6UFW8vLuXtzyG5HhkoFnUKBHQsXcu+x/iNPHjmC18vL0eP1xk1neXDmTNH7WmY0YvKwYdg6fz4JGwRBEARBEARBJA0kbhBfirFpaZwnRi/D4I6vfhX31tejtrUVToaBL4F5p0omgyJcCcBWgLDoFArU3norVtbWRlVQrDWZ8Id//xsPz5oV89iJUlN+Nns2frR/PypNJizgeVPsrqjATw8ejNqn0mTCo83NqLfZuASUWKQkMAgVMzVVyWQ443YLxsLCeniwTiFahQJahQJ/b28XjLUk7PkxZ+tWrnIj0n/k5aNH8cN4T9oCATT+9a+4wWbDv7KzgXBFTrHBgOeLi3FtZmbcayOIKxG/349t27YBAJYuXQq5SMsWQVxt0LwgCIIgkgn6V4j40mRGRLayYke3z4cRarWocAH0L5bfOH4cVRYLahYtAkIh1FqtnNHl4okT8cC+fVG+GGxFxBP5+ZACMb0zEhEIBrFu+nQMV6uhUyg4MSBWmgpfLOFXqYhdVyLEYmRZ09DI47KmrM9H+GOI+Xfstdnww6YmQdsLP+Wk2W7HyqlTRVNkOAIBPLp2LQCg7vhxdIVCXBQuwoZxiWJ7CeJKw+v1YsWKFQCAb37zm7SIIwjQvCAIgiCSC/pXiLhgYi1wI8UOfusKS7HBgMfmzMFZtxvTRo2Ci2HwkNmM5woLIZFKsaa+Hma9PqbRaL3NhkAohJ++9x7WmExR3hklBgPGpqbGHX+Pz4cF1dUoMxoFlQ184YGfKKJTKFCzaBEO2e34zYcfYsu8edxYWFgfjL+1tMRNduGnn5QZjdhcWAhbby8+6OjAc0VFqGxo4ASbSpMpyv8DiO3fIdb2Um+z4cm5c5Gn10MqkWC4Wi1ITuFTYDDAOn06PuvuRrfPh8Vvv82N8z6TKWFsL0FciUilUpSUlHCvCYKgeUEQBEEkFyRuEBdEvAVuikIRJXqw1RxnPR50eb0YrdXikYMHBZGoxQYDXikrww/q6lBrteLuqVPjjsHl9+OtlhY0tbXhgRkz8Iv8fABAH8NAKZVCJZNh/vjxgnNwY+XFq9aGPTheLy+HBMAIjQZlRiMO2O2iiSLFBgO2zJuHu/bswd1TpnAGoOPS0mB3OvHy0aNoamsTTXZhI3DPejz42qhRUIVNQ1t7erBk927cmJWFOdnZuOmaa7B++nRkqtXQxDFljeXfIVZ90uPzcck1bDUIe/38a1trMmH52bMAwyAUbocpMRjw5Ny56PH50NLdjbunTsUak4nz8+DH9lIFB3ElotFoUFdXN9TDIIikguYFQRAEkUyQuEGcN51ud5SwAfTHtt61Zw9unTgR9/D+2GFFj+uHD8dhhwOH7HY02+2iMaqt3d3ccSNbNyLh+1p8bfRo/Gj//igh4ZnCQgCIElGeLijArD//mXtvr82GTXPmoGj7dgDA6+XluHXiRNEYW/bnu6dM4USHhePH455p0yCVSPDgzJlYP3063jt5EnOuuYYTH65JTcUHHR3IffXVqLaQYoOBi631BYO4KTsbY3Q6VDY0YOW0aXHvg5iQIXbvAsEgN3bW8LVp6VKszs3l0lmaHQ5B+kpOWhr2Ll6MDJUKDqcTP2xqivI/Yate2NheEjcIgiAIgiAIgrjUkLhBnDcdLlfMdpFaqxWrc3OF7/Ge6qcrlZidlQUAXMUDP9HjnNfL7fdBRwdeLi1FVkpK1HbsMdjjiIkQtVYrKhsasNZkwvenThUs4E/29kYJDKddLmxfsABH2tshl0gwQ68XiDR8+BUT88ePxy/mzkVlQ4OwksVoxNMFBTjZ24sDdjvypVK0dHdHpZtUWSxRsbUbzWZOAEpkXhrPv4M/lsa2NsF7TobBX06cEBWa2H0AoLGtDQqpFO+KJMjw/Tw2NTcnjPUlCIIgCIIgCIK4GJC4QZw3iRawYpUE7FP90VotAqEQnnn//ahWj9fLyyGV9OeB6BQKmMaMwXMWiyCytNhgQE1FBcbodDgUNvVMlIoSmYYSy/BTIpFAK5fjvZMn8cjBg9ixcGHc60xTKvH+t7+NUCiE1fX1ouLKusZGmLOyUGWxYOmkSWi220Wv+x8dHYLY2oGal4r5d2zIy0N5xPVGVqqwVFkseL28HDKJ5AthxueD7le/wjG1GnPvuQcuiQS7KyrwiEiCDCAUeuLF+hLE5YzL5cKMcMrQkSNHoNVqh3hEBDH00LwgiMuTcy0t8CZINCSufNzhNcSxY8cuyvFHjBgBwwCCFgYTEjeI8ybRAjZWO0m3z4fRWi3W8xbxLOzPa00mlBmNmKHXY/P774tuJ5VIsGXePJQaDBiXno6+AYotOoUCmwsKkDt6NFp7ejhz0CqLBWa9HsFQiIt6jXcdLD0+H+Zu24a9ixeLCg/seCtNJlSaTLivqSnmdf8iP18Q6coXiFgBgr890C9aVBUVIRgKodhgQJpKhXanE4fsdry7bBl6fT70+HwxK1UA8fYUeL1YvHEjnADAMIBSGTNBhj/espwcjE7iP2wp4YX4MoRCIfznP//hXhMEQfOCIC5XbK++OtRDIJIFiYRLvRps1BoNPv7oo0sqcJC4QZw3o7XauPGukS0RLOlKZdyWlnqbDT+eNQsvl5Whpbs7ZjVGndUKF8Pg+uHDoVMocLKvL+54J2RkYP+yZRit1WJ1fb2g1YStBHH5/ZBAKB5YOjpiJoqUGY2wdHQAADrDrTT8ZBV+2wkTDCasLpFEvMcXVlgBghVJPIEAxqWnIxQK4cH9+6P8RNg2Fn8wiGXh/UZqtTGvxazX4y8nTnwxvmAQr7z5JtY0NMATjvVLJPQMU6uxZd68pBULKOGF+LKo1Wo0NjZyrwmCoHlBEJcrhooK6LKzh3oYRBIg1+mgzMgY9OO6Tp3CsRdfxJkzZ0jcIJKbTI1GNN61LCenvyVi586ofdin+se7uuIeWyGVIic9HQ6nM+52nV4vPjp7Fp1eb9xY02KDAW8cPw4A+LvDIWhxAb6oBJmdnY2vjhgh+EwCYENeHgKhUFTFxIa8POw/eRJA/8KfTR8RS1ZZfv31+OjcubjX4/L7BT9HtqI4GYY7LitgxDI7lQB4obgYu0+dQk1FBR5tbuaqP8SuZa3JhOU1NV+8l5MDXHstnp8wAffU1nLjKTEYouJogX6hZ/KwYdCnpMS9xqEirgEuJbwQA0Qmk6GgoGCoh0EQSQXNC4K4PBk2ZQoyJk8e6mEQxKBD4gZxQYxNS+PiXbt9PqQrlRit1cLJMJidnR0lerBP9dNdrrjHHRZ+8pOpUsXdzs0wuDHsIaFTKFBTUQEgRqxpTQ22lpfHrQRZk5sLmUSCjWYzV3kxLj0dc7duFVRMsIak5dXV2BpuFWl2OPBsQUFMsWF9YyOenDs37vWkK5UCgSZWK0qp0YjNhYU45/Fg3fTpnJ8Hv+Vkr80GbyCAeTk5+MmBA9z+/OoPABibmorDEeko/Hv299tvx7E77+xv41AqcdcNN2BlXZ3od5uswgaQwACXEl4IgiAIgiAI4oqAxA3igskU8SzI1GhERQ92u3gtLXzPhnjblRgMaOAlfzgZBuXV1dhcUICnCgrQ5fEgQ6WCLxjE4l274GSYhJ4R3kAA12Zk4DDP8HPHwoWCiolI2GNWWSzYt3QpVsZIVqm1WrEpGIxpClpqNKKmpQU/v+kmBEMh7LXZuFaUZwsK8GxhIbo8HqQqlTjS3o68P/1JIEawUax8gaPD5YIvEBAs6iOvpWbRIth6ezmRJlOtxtuffYZlf/0rXB9+iJrUVKz/zncgl3/xn4l4322yksgA93JPeCEvkUuD3+9HTbjCqby8XDAvCOJqheYFQRAEkUzQv0LEoCMmevA/i9XSwvdsiLmd0YhVubmCNgqgf+F+T10ddldUcMkoJQYDdi9ahAU7dyInLQ27KyqiIlhZQeC6zEzc39QkaLvg+0yI+WmM1mqhUyjgZBi0h9toYvlu2Pv6OC+MyLaQ1eHr+dqoUcjLysLaiCqRnL4+DNdo8OD+/aJtNcAXUazs+Udrtej2egWmqZGGom6/XyB27K6o6P/Z5wP+8Ac8+Ic/oLC4GBNGjRJ8L19m4TwUC/FEBriXc8ILeYlcOrxeLyrCFWJ9fX20iCMI0LwgCIIgkgv6V4i45MRqaYlc5IptFwyFMJNXuRAJv0Jjr82GDfv3Y/eiRVjX0CAQLvgVD7P0+qgqB+AL34tmh0PUT6PUaMTr5eXYcvQoxqalxfXd+PZXvoKdx49jzjXX4KG8PKjkcmjlcngDAXR5vVzbi1iVyLSFC8GEQlHCBgubyMKe//mI85cZjTh8++148/hxPHnkCHfvIk1CuXsnkSB90iQY09LQ7nZD3tMDR18fVAoFvH4/ehnmgoSJoVqID7Ra6HKDvEQuLVKpFDfeeCP3miAImhcEQRBEckHiBnFRSPSEfqAVAJHb/efMmZjCBhC9YJ86ahTua2yMMsJkKx42FxRgTEoK2np7BZ/rFAoopVI8V1SEg6dOifpp1FmtkADYXFgImUSCzXF8N1bX1+PWiRMxMTMTo7VaHHI4MEqr5ao7DKmpuD4zk6sEibwmd4ThaCSeQACVJhOet1iirrXWasXahgYsmTSJE3TMen1Uqg1778omTMCG2lqUV1djYU0N52nyWFOTQGA5H2FiKBfiA60WutwgL5FLi0ajwYEDB4Z6GASRVNC8IAiCIJIJEjeIQSfRE/oLbU1onXYcmgAA9I1JREFU6+nBgVOnYnpXlBmN0Ot02Gg2c20YiSJYny0ogN3phF6n44QFfgXGk0eOYM+tt6I+jp+GOxDA0dOnMVOvR6ZGg3XTp0e1grCmpZvffx9Pz52L3NGj4Q8G0ccwUEql6HA6ccbtxgtFRfjvPXsE52h2OFA4dmzce5OTloZxaWlxr7XSZEKVxYJnCwqgT0kRtPaUGY0wpqXh4G23wRcIoI9h8PtbboFGLkcwFMLT778fVTlyPsLEUC/EB1otdDlxpXuJEARBEARBEMT5QOIGMagkekL/Smkp7qmtPe/WBPa4B+x20RSRYoMBq3JzMXfbNpj1eq5CIZGR6PGuLizetavf1LOiAuXV1aiMiFlNFEvr9Pnw52PH8L2wKKFTKPBsQQH2LV2K1p4eqMO+G/5gECunTcMppxOPNjcLxl9mNOIhsxmzsrIwf/x4TBs1Cma9Ht5AAIa0NAxLEHf7lxMnYBo9WpD2Euktogx7eDw2Zw6Ktm/nhJcSgwHPFhaitbsbOenpWNvQEDW2Vbm5aGpri6oqGagwkQwL8S/rF5Js6BL0tl/OXiIEQRAEQRAEcb6QuEEMKome0H/a1SUqfKyqr8evS0vR7fWKVnTwj8tGmv5s9mx0ejwA+qsb2MQQvslmokhZtmKDbTF5tqAAWSkpggqIyFaXSJhgkDsnv+qDn55SbDDgO1/5CjpcLjzx979HVZ7UWq0IAXihqAhP5uej3enEOa8XGrkcb7e04NqMDDxfXIw+nw+94WqPOqsVlvZ2PJ6fj0+7ujBp2DC89I9/RPl9sEKPTCLB6+Xl8AYC2LZgAdx+P2da+uD+/Xhq7tx+YePTT4Ff/rL/AP/zP6i1WhEIhTjT0kgGIkxcyaaeQ0Gn241DdnvsKqbL2EskWXG73cjPzwcA7N+/H5orSCgjiAuF5gVBEASRTJC4QQwqiRa657zeqPd0CgXumjIFd7z9Nidg6BQKbC4sxCy9Hs7wIpzfbrKpuRlmvZ5LRomk3mbDQ3l5SFep4lY8/N+ZM9ziv9ZqxRNz56InYoyssWisVphGXixtZNUHfzyr6uuxeOJErJw6VbQKos5qhS8YxEPvvoup4coNXyCAxZMmocPpxL1790ZVVDwarsK4e8oUvPDBB6LnBfpFm8a2NjTb7Xi6oABdXi/uePttwRgevemm/taTUAg4ebL/zVCIO05lOO0lkoEIE1eqqedQ0eFyYV1TU8wqppeKi6+oKpVkIBgM4v333+deEwRB84IgCIJILkjcIAaVVIUi7ucauTyqdSIYCuHlo0cFwgZb/XBPbS23b7HBgG0LFsDS3g7TmDFISXCuEIAzbjeeLy7Gmvp6gcBRbDBgrcnEmWuyVQknurqiKjWqLBbBIpKNWy0cOxYqmQw9Ph8nvMTz+GB9N6oslphVEJ+7XPjBtGl49v33sam5GRvNZnzucmH7xx/HrPb4n2nTUGI0xvXbeCI/H+ubmuBkGDgZBs9FjEGnUKCPFaZkMuC///uL12HEWnwGKkxcqaaeQ0W3zwcnw3BVTJUR8cGdIiIi8eVQqVSoCfvUqBJUhBHE1QLNC4IgCCKZIHGDGDQGYvg5WqtFs90eFVW6KjcXR9rbcfeUKbhl3Dh0ejxYN306zFlZXLVGvc0GmUSCb02ciPKdO7G7oiLueNx+P6osFlQVFuL5oiJ80tUlWADy21jYqgT2M/418BeRD5vNGK3TYW1Dg2j7B5PgyZUnEIhbBQEAWrmcSzIx6/UAIHo/gX7B5OmCAth6euKet7Wnh6vSaHc6BfGxlSYTvjlhwhcVKzIZMHly1DGGRfzher7CxJVo6jlUsNUybBVTJCtEvj/iyyGXyzF//vyhHgZBJBU0LwiCIIhkgsQNYlBIZPhZlpODX5eUYE2EWSXQX4GgkMmwu6ICD737bkzPCCfDoNZqxercXADx20WKDQY0Oxyot9ngD4XQ6XbHbGEB+kUHdp/ISg2gfxHZbLfju1/9Kv6nri5mtOwvwr3HsWCrQsSqIIoNBjSEW0fYqopEhqgAEgobAKDiVWDkpKVhx8KF0Ot0aFq6FI8cPMhFw5YajVGpKEC/AJWdkoJ/33EH+hjmgoWJK83Uc6igNh+CIAiCIAiCEELiBjEoiBl+VppMYIJBjE1NhUomw6m+Pnx/2jRMHTVKEJMKANNGjcLD770X0zOC30LBLvhZEUImkcRsOQGAXp8vYQtLpkrF7RNZ7p+iUMAXCGCYRgMXw0QJG/yxesMiSazKFUtHB4DoKgj+mJ0MI6gkGQgDEXqA/mSU6hMnuHtZYjBgTfh7qrJYcPj22/FAYyPST57E5GHDMHHmTIzU6ZCmVCJ/2zbsW7oUeeFqEmLooDafS08gEEBDQwMAoKioCLIBzk2CuJKheUEQBEEkEyRuEIMC30iULZVnvTN+tH9/lOEhvxoDQFyvisg2DnbBz4oQTUuXYnVurmjLCQC4GQZZOl1MY9GF48cjXaWCJxDA72+5JSpC9d/f/S5Ucjl+UFeHldOmxb0PgWAQmwsL0Wy3Y13Y4wIASo1GbDSb4fb78dt58zBCq0Xj0qVIVSgQAvC3lhZOjNloNmOMTocdCxdimFoNJhjE/PHj8VZLS9T5yoxGhADMzsrC0kmT8MOmJmHMbrjlZ3lNDSdksOcBgL02G0LorzhxMgw+7erCA7m5KFiypH+DTZsApRLFBgO2zJuH3ggTVKC/aodtNYlMuSEuHtTmc2nxeDwoKysDAPT19UGn0w3xiAhi6KF5QRCXJ+daWuAdQHUwQVwo7vCD1WPHjg1o+xEjRsBgMHzp85K4QQwKYokZlSYTXj56FOasLM7wkBUOXj56VLQaIxbs5/wqBKBf4PjLiRNotttFqxYWjh+PazMzsb6hAatycxEIhQTbzR8/Hk8XFka1mrACzJajR6GWy/H98OdrRbwyWN8Ks16PIABbby8A4Mjtt+Ojzk4opFLY+/r6o1flcmz96CP89549gnOtDftfbJk3D89ZLFGeJFVFRQAgEDjKjEa8VFKCysZGvNXSwo3jgZkzIZNK4WQYTEhPx6m+PhxYvhw7jh8XiD4s/IqTrJQU3L93L8BWZ0gk3DYA8HJpqWDftp4e3LVnj1BQycnBlrIyjE1Li7pXxOBCbT6XDqlUiqlTp3KvCYKgeUEQlyu2V18d6iEQVwMSCVasWDGgTdUaDT7+6KMvLXBIQqFw1uNVQk9PD9LT09Hd3Y00WnwNGp1uN5a99RZqW1u5Rfa3rrsOJ/v6oqJR2cW8XCLB13fuBAA0LFmCou3bYx5/d0UFXvjgA2zIy0N5dbVgga5TKFBTUYHHDx9GrdUqSDMZqdHgh/v2oY73PpvUMkythjE1lRMuIikxGPBicTFcfj9yw/8IbDSbBUIKP9kl8hofNpux/+RJ/PTgQQD9wsCOjz8WPVeZ0YhNc+ZEVbnwP3+ppARdXi/6GAaZKhVO9fXhV//8J2pEKjqKDQYsmTQJADAxMxNjdDpMf+21KGGDZc+tt2K4Wg2pRMJdqxj/d8cd+MqIEQDC33k4QjdqvDk52Dp/Pi28CYIgCIIgkgR2HWSoqIAuO3uoh0Nc4ch1OigzMhJu5zp1CsdefBEWiwW5YW/FCz7nl9qbIHi8VFyM+xobcdfUqXjOYkH5+PFRi37giyqAR2+6CUD/QnyMTocSgyHmwn9iZiaWXn89XH4/zHq94JgFY8fimtRUPJafj40+HzLUahy22/GNv/wFW8vLcdBuF8TPSiQS/PP0aSilUiA7O6aHxl6bDU6/H928WE3W50Mtl2PaqFFxk12A/nYPVtzISkmJea5aqxW/yM+PmYpSa7Wiy+tFh8uFQ3Y7TKNHQyGVigob7D1+Ij8fc7dtg1mvx9JJk2LGz+oUCozSanGyt7dfKFq0SNCWw4fflsL3WYkab2srOlwuEjcIgiAIgiCSjGFTpiCDktWIKxASN4gvDduawCalvPDBB/2La6k05mK93mbDM3I5dldU4IOODnj8flQVFWF9Y2OUOeiq3Fy4/X58b88ervpi3fTpUEilGKnRQKNQ4N69e6P227ZgAcZotTh8++1Y19gYlcLyXFERPjp3Lu61dXu9SFepBFUf/mAQT8+dGxUHW2Y04tBtt+FUXx/eO3UKVRaL4FiJWm+6eCKKGK09PVi8axeKDQYsv/56HO/sTLg9P+p2fEZGlLjBVr3c39Qk2pYT2cbCbz/i+6yIkehzgiAIgiAIgiCIwYIaJIkvBRsBW2u1wskwkABclOhZjyfuvl1eL6QSCb4+fjx+euAA8v70J8zQ67G7ogK7Kyrw/ooVKDIY8EFHB4KhEHYsXIhtCxYAAJbu3o15b7yBNz/5BKsihA2gXzx53mJBH8NgbUODIN5Up1DAnJWFDqcT49LT444xTamEBEBNRQWa7XYsqK7G+x0dWFVfH3XOWqsV6xob8d6pU2gOCz1uv5/7PFHySZqIbwkfdv96mw3rGxthSE2Nuz0//tUTCEAmlaIkoo9tc0EBHjt8WFhRwjCo37AB31m4EPf+139xb0dGjIr5rPBJ9DlBXE643W4UFBSgoKAAbrd7qIdDEEkBzQuCIAgimaDKDeJLEdmawK9OYILBuPv2+nxYUF3NpXg0tLUJKgvmjx+Pn8yahYfefRePhFs7gC+qCu7aswffnDABZr0e937tazCkpsITCKDd6YQ6bFyaplQKqkf4Hhmbmpux0WyOG93qYhiM0GrxIM8LYyDJLuznVYWF3GeOvr6YiS3FBgPsTueA4lyBfiHlyblzY6aoRG6vlsmQqlRijcmEpwsK0McwSFUqgVAI99TVCXcOhYCWFnQBmDFqFIB+/5FflZQI2kxGa7Uoy8kRRJGyRAohBHG5EwwGsW/fPu41QRA0LwiCIIjkgsQN4ksR2XrAr044ZLfHXax/0NGBjWYzZmVlQS2T4b3ly+Hx+9Hl9eK9U6eglErx8HvvxfTseGvRIjz07rs4GK6SeFAkcvb2yZOhUyi41opKk0ngA8J6aPCPC3wR3TpSq4UnEOAqP3QKBUZoNNhdUSFIf+H7U7ACT73Nhh6fDzqFApsLCjBTr8fk4cPxo7w81Nts3D6swepde/Zgy7x5kEkkUS02ayMiXAGgrbcXv8jP778XPIEjcvtigwH2vj40OxxottuxubAQ6Uol/mvkSLx38mT0lyqTAWFn4wydDrsrKtDscGBdYyN+f/PNnMCRqdFgS1kZ7qqtFQgcZTk52DJvHvltEFcUKpUK28OmxyqVaohHQxDJAc0LgiAIIpkgcYP4UkS2HjQ7HJygEU84eK6wEIFQCOubmqK8MNaaTPjw9Gk8VVCAJ48cET1vvc2Gbq8XdVYrNprNMY1LKxsaBJUUkVUXTobhRIUn8vPhZBikqVTQyGQ44/HA5ffDFRYt2KqPnxw4IGhzifSn4As8gWAQh2+/HZUNDYIKCdaf42RvLw7Y7dy+Lx89ilW5uVidm4sUpRJ9Ph+aHQ7RCFcAuK+xES+VlGDTTTehy+tFIBhEQ1sbtz2b2uLy+7G+qQlOhsEPm5rwdEEBAGCYWh19c2UyIBzt5wmFsKC6mvso0iR0bFoats6fjw6XC90+H9KVSozWaknYIK445HI5Fi9ePNTDIIikguYFQRAEkUyQuEF8KSJbEyIFjeU1Nag0mfCQ2QyFVAqtXA5LRwe2Hz+Od0+ejFmVYc7Kwpr6+pgJHwDQGTbgjNcmUmu14oGZM7nPI009dQoFtsybFyWOlBmN+PlNN+GWN9/E6/PnA4iu+ogcc6XJhGa7XdAOolEosLahIWqfWqsV6xsbkZeVxY2txGDAE/n5KNq+HaddrqjYWT5s20mt1cqZoi6rqcH9M2bglnHjMC8nBxp5//T+W0sLnjxyhBNHaq1WsAnQep0ubqsM/1oAcZPQTI2GxAyCIAiCIAiCIIYUEjeIL0Vka4KTYbC8pgabCwtRVVQEJ8NwT/PPeTxYWVeHepsNuysqBD4afPi+FWtMJkGMK78NhK2QSJRCopTJsLuiAhKJBKO12rhtKiy1ViuCoRDeWrQIb7W0oMRgwCyeECE25g15ecjT67l2kDKjEb5AIGZizF6bDb/Iz8e0UaOglsnQ7HDgR/v34+4pU7CpuZkTihK1qaSEq2e2LViAQ3Y75r3xBn5/yy1YvGtXzHvSF77+TI0GW+bNE7aWBIMweTwoBfD/IipnyCQ0+el0u7lKmgyVCqNIfBoUAoEAmtkKMLMZsgQGwQRxNUDzgiAIgkgmSNwgvjQDbU1wOJ3cQj+RIMF+nqpQoNluj2pdqamowP6wX0SiFJJurxfLwhUkRWPH4m+LFqGPYXDQbsfsOILFXpsNP/J6IQGwbvp0pCgUcc8TCIUE7SAb8vIQDFdIxOKzcLwrn3VhYYcVig4sX47Vvb3wBAKcCMJvU+kLG7Oy9+b18nLIJZK459UqFPj43DmM0mgE31+n14tzPT0onzwZFgDYtAkICxpkEpr8sLHMfDGsLCcHW8rKMDYtbQhHdvnj8Xhw0003AQD6+vqg0+mGeEQEMfTQvCAIgiCSCRI3iEFhIK0J/JaGRIIE+7k/GBRtA5FJJFh6/fUAhD4fkZQajfjw888FCSksxQYDlk6aJKjkiKTT60Xu6NE40t6OOdnZccc8XK3G72+5hRMgyqurcWD58gFdJ58QwBmWqmUy9Ph8cPT1QZ+SAk8ggFlZWQD6W4BuzMrCGJ0OOxYu5KpaXj56FCunTo1r5vrG8ePY1NwsWPiy399xqRTaMWPg4sXYkklo8sOPZeZT29qKu2prsXX+fPr+vgQSiQQTJkzgXhMEQfOCIAiCSC5I3CAGHbYsvtPrRYpCAZlEArlUCh2v8iGeIMF6PZQZjWhoaxM9R63VisfmzEGxwRDTuLTYYMBDeXlIU6nwwL59oiLJD5ua4vp6qGUyeAIBmEaPRkNbW9zY2OoTJ6KOIwl/NlBPCwBQy+WQANDK5Rip1UIpk+HRQ4eET+ONRhy+/XYEQiFUf/IJngp7arAtK9ekpOC5oiKsa2wUmJ+WGo1YnZvLtbTUtrZiVX09fl1aim6vl2tlOPHJJ+jxetFFJqGXDZGxzHxqW1ujzGCJ80Or1eKTTz4Z6mEQRFJB84IgCIJIJkjcIAYV0bL4sDmnUipNmKTCLs5fPnoUTxcUYNaf/xzzXK09PTBnZaHSZIJGLsfTBQVwMgzanU6oeNUTf/3mN2P6XtRarXiQZzjKhxUfzHo9gNixscUGAzYXFcHa3S2ooKiyWOD0+/GQ2YwQIBAZSgwGrBGJdy01GvHxuXPI0+th7+sDEwzivqYmwb7suNc2NMCclYXmcBTu8poably/yM9H3p/+hEqTCWtycwEA16Sm4q8nTghaWnQKBe6aMgV3vP22aCvDpOHDY95/IrkQM3s9n88JgiAIgiAI4nKGxA1i0IhZFh825/xVaSnumzGDM8hkk1Q2ms2QS6XQKhRQSiTwh0JYeO21ONnbG7NdBAAyVCpOlNhdUYGv/fGP4uMKp6rEQsoTXVj4IosxNRUz9HrOA6PSZMK66dOhkEoxXK0GEwyCCQRwgBU0whUUNRUV6PX5MFKjwWNz5uDx/HycdbsRCAaRnZKCH7/3nuD62EqTFKUSTobBkfZ23DJuXJSwwcI3XgXAva632SCXSrG1vJzzLrH39eHa9HSuwoMlpqEqtTJcdiQyeyUzWIIgCIIgCOJKhsQNYtCIVxa/12ZDW28vslNScOvEiVidm8t5SnzS2YlrUlNxy5tv4tWvfx3/+vxzfH38eOgUipgtHSUGA1x+P+dNkRJn4ZbI38PJMFwFCABkqtV4+7PPsOXoUTyRnw8nw+CvJ04Iqk7y9Ho8+fe/Rwki/AoKmUSCjWYzcl99ldumzGjEs4WFYIJBfOO663D31KkCo9Dy6mrM0uvx8KxZKMvJgb2vL+7YWfGCFTpYTrtcnMko/9yRLTiiMboMA/zxj6gFYJs1C5kJvEaI5CAylpkPmcF+eTweD771rW8BAN58802o1eohHhFBDD00LwiCIIhkgsQN4ryJFTWZqOydCQZxf1OTqFhRZjSifvFipCgUGKZWo8Plgsfvx+P5+bi1vR3rmpq4igNWIPjpgQO4fvhwmPX6uEkmrH9HLN+LQxFpLP/8zndQYjSifPx4tPb0QK/TYcrIkbh14kSsa2zETL1etNqB/ZkVEFhfED61VivWNzbi6YICjNbpvmhf4VVT7LXZ8FRBAaQSCcYkcJ7nCzf8BBomGIzattZqxepwi4rYPhyhEPDRRwCATo8n7vmJ5CEylpmFzGAHh0AggL/97W/ca4IgaF4QxOXKuZYWeGnOEgmQy+VQqlQX/TyuU6cG7VgkbhDnRbyoyURl78PV6tiGh1YrKk0mnHa78bzFgr084aDUaMTfV6zA5y4XRmg0UMtk6Pb5UGkyQSmT4e3PPoMEiGn2+a/Tp/FccTHW1tcLzs+2nkT6XnzS1YU73n4br5eXC8aiUyjwbEEB8sSqHcJEVlD0iAg+tVYrrD09WFBdLaj24AscXV4vhqvVsHR0JDReZWGFDlawGQjDRJ6yadVqFG3YgGszMgCplIuMpcVx8jPQWGbi/FEqlfjd737HvSYIguYFQVyu2HhVxQSRDKg1GowYMeJLH4fEDWLAiHlq6BQKzBgzBp90dWGMViuokNApFKg0mThDTrlUio1mc1SlAkumWo2H33svaiFfZ7ViTX09Xikrg62nB4+GfSVYyoxGVE6fjuljxgCINvu8a+pUzN26FXdPmYLVublIUyrR4/Oh2eGIEhWAfpFAzIvCyTBYWVeH3RUVce8TvxoiLcYfe/x2EgBR7SJ9Ph8yVSqsb2qKa7zKCjP8hJlnCwvx5vHjohG349PTcezOO7mFb7pKJWhl0CkUXGzuczYbnnvzzf57zIuMJZKbgcQyE+ePQqHAHXfcMdTDIIikguYFQVyeGCoqoKO2YyIO7tOn0bp9O1577TVMnjz5op9vxIgRMBgMX/o4JG4QAybSU4NdCL989CgAYNF112FDXh4CoRCaHQ5ukcxftEdWKvAFECYYxLrp02HOyooSQOptNpxxu6OEDaC/EiIEYHZ2Nuedka5SIU2pRAjAZ93d+O3NN+OQ3Y6Xjx7FT2+8Ef/v0KG41RCsFwV/fJ5AABq5HBkJyrPYCooSgwF2pzPmNvxjpyiVmJWVhUN2O/55+jSaHQ6kq1RRJqY6hQKBYBCNbW3cPWQFDVtPDwAg709/glmvj6oIKTEYkKlWQ5+SIhgLv5WBDEYJgiAIgiCubIZNmYKMS7BgJS5fej/7DK3bt2Py5MnIjWhrT2ZI3CAGDOupwS7Kbxk3Dl0eD/7f7Nl4v70dHU4nFu/ejUqTCU/m52PDu++K+lLIJBK8Xl6Ou/bswZZ58xIKICwuvz9mpGud1Yq1JhMO2e2QSCSQADjn8XAGoKwI8PObbsLiXbvwUkkJlkyahKyUFE60ONXbi2tSU7Fk9278/pZbBFUM/PG9XFoa18Oj2eFAicGA54uLUbBtm+g2lo4O0WOXGAz4ZWkpynbswNfHjQPQXzHCbsMXRN5atAi9Ph8cfX2w9vRgye7d3P2qt9mglsvxenk5JOFjZ6WkwCVSMcNvZfAEAth08CDAtrvo9YBUCqBf4OhwuUjcIK5KAoEA/vWvfwEAbrjhBsgSGBUTxNUAzQuCIAgimSBxgxgw6UplzAV/scGAzYWFAIAqiwUVEybE9dd4YOZMvLVoEX60f39CY06WWKah7II/S6fjWmDeaW1FlcUiqGCotVoRCIVwz5QpGK3VQiWTodPrhUYuxyG7HR+ePo2V06YB6K+seGDGDDj6+lBpMuH706Zx2/34wAFsC7eKCLxHjEZUFRXB4/djVlYWzrndmDZypKjPxz86OkQrJPbabPifujo8X1yMOqs1SkRhhY5igwHmrCzu/hQbDIL7pVMosHLqVLz4wQdRY9wyb15UewnbynDY4QD8fqCqqv+DTZsAXmtNItNYgrhS8Xg8+NrXvgYA6Ovrgy6B2S9BXA3QvCAIgiCSCRI3iAEzWqvFC0VFeD5GUsgPm5o4M01HjHYMlk6vFxIgZiVGpDFnmdEoup2Y2MIaf+5btgzn3G6M0mpxaPly+EMhAECqUokf1NUJTEtZ0eFX//wnKk0mfNDRgVsnTcKa+voor4st8+ZhaU0N9tx6K55Cv2moNxBAY1sbZrz2Glc9oVMosLmgAE8VFOCMy4UQwLWTbC0vx08PHhRtezlktyMnLQ0qqRS3XX897q2vR10CI9TI+xWzvcRqjdtewpnCxvDWSGQaSxBXKhKJBFlZWdxrgiBoXhAEQRDJBYkbxIDodLtx2uWCacwY/PeePaLbsBUZbr8/4fGuy8hAl9eLmkWLRONQgS9MN8uMRjw6Zw4+/PzzqOSQyEU8X+xYWVfHbccKAp+7XNj20UcCYQP4QmQxZ2XBrNfD0tGByoaGmFUld0+ZghNdXfjN0aOoKirCV8Ju8XycDIN76upQs2gR0hSKfi8Sux1OhoEnEIhbBbP8+uvR7HDg+X/8AzP1eqzJzeUMQmMZofKNTM1xEl3itZeM1mpRNnEian/846jPynJyMFqr5X6OFQlMEFciWq0WpwYxqowgrgRoXhAEQRDJBIkbVzkDWaCy8a8z9Hqu7SMWsrA/Q7PDETPCtMxoxI7jx7nFd6nRiG0LFmApzzMCAHLS0rC7ogJjdDrM37kTv7v5Zvx01iyBV8b49HTufE6GiVmxwP78s9mzY7bLsNUPGSoVysePxyMHD8bdTq/T4e6pU8EEg3FTYNx+P5bu3o3ni4rwy5ISnOztRZpKFXes6xsbsWnOHPz04EG81dICANhdUYEF1dWiYwK+MDIFhEKHGLHaSzI1GoHBKEtZTg62zJvH/W7EiwSmRBWCIAiCIAiCIC41JG5cxQxkgcqPf12dwClXp1AgTaFAhkqFqpqamBGmzxYWIu9Pf+Leq7NaIQFw/4wZnKBQZjTitMuFBdXV2Gg244YRI3DnO++gZtEivHn8eJSPBeurEa9iod5mw8OzZsW9Bk8ggFSlEp90dcXdDgCqT5wQeF6ImaACwLi0NPz+llugkcvhDQTQ0NaGb06YgKKxY0XHqlMoMEOvh0IqxY6FC7lWlQ86OmIKRiVhI1OWzASJLiqZDB+fOycqZvENRtnI2NFaLbedWCQwQIkqBEEQBEEQBEEMHSRuXKUMdIHqcDq5bTyBAP55+rToAlunUKCmogI/evddzAxXeLARppUmEzyBANQyGex9fXjz+PEoAaDWasVPbrwRjxw8iGKDARvy8pAWXqBXWSx4vbwcjr4+bEhgQJqoYiGWKSlLpkqFYCgkqIIQQ6/TocpiER0DX7AoHz8edqcTapkMnnC7jiE1FfN37sS2BQuijhurVWX++PH42Y03Yv6118LR1weJRMK188zOysIvS0pwvLMTO7/xDYxNTYVaJoub6PJGuHJGrNrC4/Hgnu98BwDw6quvQq1WC/aPjATmQ4kqxJWKx+PBt7/9bQDi84IgrkZoXhAEQRDJxHmJG0VFRdi5cycyMjIu0nCIS8VAF6jnPB7ufbVMxgkNgLAi49mCAjx++DDqrFYctNv7t4lYoJcZjViVm4v1TU2i5w2GQthdUYFmhwPl1dV4d9kyzpPjrj17sPMb30A9z0eDT6ShZiwk4XGIXXuJwYAMlQodLlfCtpqalpYogSZyDOXjx+Px/Pwo7w7WlNQt0sIi1qrCJp/8aP9+gVdImdGIIytWIFWhwBmPBy6/H+PS0/F+ezt+fOAAtsybh0AoFHVuvhmpWLVFIBDAG2+8AQD4/e9/HzXGRIkplKhCXIkkmhcEcTVC84IgCIJIJs5L3GhqaoKPFi5XBANZoHa63dDIv/gVaXY4MDsrS7QiY5RWyxl4OhkmaptxaWnQKhSCNJFINHI58rdu5X7+tLsbd7z9Np4tKMDfFi1CT4Ixp6tUUEileLm0FOubmqLOU2wwoMPlwoa8PChkMkwbNYpLKRmuViNLp8PuTz9Fl8+Hf54+jbVhoYIvDpQYDPj5TTehaPt20TFkqFTYt3QpUpVKnOzri2tKutZkihJQxNpq4iWfVDY04NaJE3FPhHnqlnnzcNeePbh7yhRUmkxIVSrR6/OJmpFGVlsolUq8+OKL3Ouo+5wgMYUSVYgrkUTzgiCuRmheEARBEMkEtaVcpQxkgdoRji9lF+BVFgsO33471jY0RKV7RHpZOBlGsA1rDGrW60WrIYoNhqj3xqen4/0VK7C2oQEr6+qwu6Ii7ph9gQC6vF689emnqKmoQHl1NbeIZysWtHI5ltbUYHdFBR5+772o63i+uBiF27Zhy7x5ePnoUZizsjiBZphKBWN6Om78859jCjQpSiUe2LcP90ydCo1cHjfq9r7p06MEFLG2mrjJJyJeKPxEF3a/HQsXYvGuXTHvHV/sUigUuPfee2Nuq5HLUWIw4JDDERVja+/rEySqEMSVQqJ5QRBXIzQvCIIgiGTivMWN//znP2hvb4+7zZQpUy54QMSlYbRWi7KcHEEiBkuZ0Yh0lQq23l7s+ewzPGw2A+hfNL95/DiWTJokqNpgk0riYUhLg6W9XXAslmKDAQ+bzZBKJJyB5qneXrQ7nXj2/fe5beO1ihQbDGhsa0Oz3Q5zVhYeP3wYB5YvR4/Ph1SlElIA/lAITobB3VOm4KF33xWtqFjX0ID9S5eiw+XCU3PnwsUwsPb2Qq/T4f/OnMF7p07hhhEjYpp6qmQy1FmtWJObC0U4OSYWTr8fd7z9Nlfh8v/Zu/f4qOoz8eOfycwkM5lJQoACCTAT8IrbAs2ABJAQSEh0CbShAlIvW1et3YoQ7cUibdW2Wq2tgtXd2tJdf60tCq60ENcSkoCAEKpj1W5XUYRcZAIIhFwmM8ncfn8k5zj3CRBMQp7369VXw8w5Z76Z5BtznjyX9ORkTFF6giTqIxLt+fASmUQ9RHqbbdHscrGqupp7pk1jrU7HT2prI0qPrs3JkZ4bQgghhBBCiM/UWQc3CgsLCQQCEY9rNBoCgQAajQZfgpsx0f9ijfwstFhYmZvLN3bs4OFrruFnb7zBtDFj1ICGx+/n8sxM7tm5kx1BfSt+XVwcO1iSk4NJrydAd1BleVhwpKm9Ha1GQ/4LL6hBkmKrlUfy80OCCLH6fQT3kVDGwT5cW8sPPR4e++tfmTpqlHoDXrV0acJMiDaPh7kvvhjyuNLoc+tHH8UsV1k3fz4fNjcD3YGYr1x2WdyvgUGrVTNcCi0WHpo9my2HDkUEcBIFJmI9Hxz0qG1qitlrpDgnh9GpqepY4Ga3m1aHgxEGA7n/9E8kBQVpjnd0sPXwYXLHjGHvxx9HLZWRiSniYuT3+/noo48AuOSSS0L2hRBDlewLIYQQA8lZBzcOHDjA5z73uQuxFvEZG5+eznPXXst7p05xurMTg1aL/fhx/nb8OHdMnozb52N2djbLtm2j3GYj22zGFwjQ0NrKD2bO5OnCQjq8Xtq7usg0GCi2WllVU8PWnl90oDtI8Vh+Pk6Ph/SebJAvjh5NkkZDS2cnww0Gmtrbue7ll0OyP153ODgT1MzUpNdTbrOh02j4yTXX8JhWS4fHQ2tXF/sdjpA+Em6fD5NeT4pWy0OzZtHu8TAzO5ujbW1kGgy42tvjvi/tYVkoymsnaTSsys0l22Ti34uKcHm9tHZ1YdLrOdrezvxNm/htSQnQHYhZdvnlcTNNlNGtSnCmqr6ev0fp9VHb1ESRxRLSTDTadcIF90t5+8QJfnzNNRENRotzcthQUoLT4+E2ZXpOVxesXQvA+w4HV2Rlqccr5Su20aPVsb3hZGKKuBi5XC4uv/xyANrb2zGZTP28IiH6n+wLIYQQA8lZBzcsFgujRo26EGsR/aCls5PCzZuB0DGkD+zbp/7bHwiEZDosnjiRR+fO5ZtVVaE3ylYrzxYX87P8fM50dZGm1+P1+7l/715eOXxYPa7IYmFVT6bFC6WlIc0wg9cR/u/w8ajK9JV1dntIYMSk07GxtJT79+wJyS5ZYLUyPj2dcWZz3PckMyWF6mXLOO12Y9brsaSl8b3du0Nee4HVyv0zZoT09YDQQITD6Yya5bHAauXJefP4oLlZnQ6zoqKCgvHj+UVBAd/etSuk18dIg4Gbr7qKu6K832t61hCuyGJhdGoqJr2evKws7pwyhUVbtvCTa67hqfnzafN4yEhOVvtj3FBREZrV0TPO75vV1bz0la+ogQqlfCVRqYxMTBEXo4yMjP5eghADjuwLIQaf04cP0ymZ9hcFnU5HckpKn1+34+jRPr/mZ0Eaig5xwTeh4VM5gqeerMnLw6jTkZGczCcuF3dXV0ctSbhzxw5eWLiQK0aM4KPmZlZFmRZS1dBAoOf1ot0kK+vIy86m0GIhLzs75rQQXyCglqFAdyaDNxDgKbs9ItNhR309gUCAXxYWxi7RsFqxHz/Obdu3q48pwZiaxkY1kLGjvh4N3SNw7wwKzvz9xAmeKizk7upq9h49ytsnToQEKow6HaNTU/ne7t1UBAV8iq1W/m3qVK596SWeKiwk22Siw+uFzk6qGhr4zbvvqpNPlHKebJMJPzAzKyvkcy3sWe+P9+1j1/Ll/OnQIVZUVDB77FiunTCB8WlpIZ/z+6dOhb4Xycnw4x8DUHPsWEgWhtKrpa96eAgxWJhMJs6cOdPfyxBiQJF9IcTg1PD73/f3EsQgYDAaGTlyZH8v46ycVXBj7ty5MurrIhN8ExqtF4XSE+Lh2lreu/VWANq6umJOAQkuSWjzeOJOCwlueBlMWUdtUxMbS0tJ1eli9sgIvo5S3mHW66OWcEB3YKWls5N18+ezqro65Dilb8afPvww4hwlGBO8jsr6en44axYVS5agT0pihMFAslaLTqNh+RVXMC4tjeVXXMG3d+0KOW/hxIk8OGsW35g6FZfXi0GrxdHejv3YMepaW1nck4kRPuEk/D3YvHgxJp2OGdnZrA5r8KqU6fx4zhwWXXIJN02axOjU1KilIr0ZC6xQerX8pa4uZsmN0sNDCCGEEEIMPJayMkxjx/b3MsR5cp04Qd2mTTz//PNMmjSpz68/cuRILFEmWg5kZxXc2LlzJwCBQAC73U5dXR0ajYYJEybwxS9+EY1Gc0EWKS6c4KkpvSk1SNJoGGk0sq2sTM1E2O9whJSGKDfD7Qlumt0+H2+fOBFxk6ysQ8kceflLX4p7nbTkZN686Sa8fj/JWi2ng3p1RNPl9/Od116LGhT4zmuv8eCsWdy/d2/IObGCMV6/H5Nejz8QYMuhQ6yz2wF4sqCAMSYTH505w8Nz5vDDWbPw+f20dnXx1vHjvHL4MLbRo4HuZrwNbW3Mzs4OuXZvGok6vd6YgR8Al9fLjKCeGdH0ZixwsPHp6Vx/2WXMGz+eu6qqQrI+lB4e0m9DCCGEEGJgGj55MsMuwM2w+Gy1HTlC3aZNTJo0idzc3P5ezoBw1mUpO3fu5LbbbqO+J8UfUAMc//mf/0l+fn6fL1JcOMFTUxLdTA9LTkablMQ3q6pCelkUWixsLC1VswWUm+HhPX0bYjFotVEnoASvw+nx0JUg6NLW1UXBiy+yNi+PAw6H2ucilvTkZF45fDikD0iwB2fNivq4EnRRGozmZWUR6FnjfoeDt0+cUN+Hr+/YoZbUlP35z0B3psXXXn1V7R8S3JBz4cSJ3HLVVVQsWYLL68Wo0+EPBFg8cSJbo6xTaSQ6b/z4uJ9rb8pDIsYCe73w0ksAFH3rW1GzMDKNRjKNRl4oLeV4RwctXV1qDw8JbIiLUWdnJ3feeScAzz77LCkXoL5ViMFG9oUQQoiB5KyCG4cOHaK0tJQZM2bw5JNPcuWVVxIIBPi///s/nnrqKf75n/+Zd999l4kTJ16o9Yo+ooz9bOnqYlhKCs9dey0ujydmL4rFl1xCql7Ph83NfH3KFFbbbGrGRnVDA0kaDd+ZPp19DgcZKSm8f+oUQMzrKTfnSnbGkwUFPDFvHqfdbrJSU9XzlBGy8XpkZJlM7Fy+nIzkZB6ureWaceNYYLWGBGCCj0+UXxQ+LUVh0GpjNjdVSmKefecdtXwlPNvDoNVG9DWB7mDJnVOmcFdVVUiZTLHVytNFRQAhAY5iq5WfFxTwcVsbHV7veZeHRIwF9vuhJwPl6Xnz4gYrlCCHEBc7r9fL//t//w+AZ555Rm7ihED2hRBCiIHlrIIb69atIy8vj+rq6pDHr7zySsrKyigqKuLJJ5/kl7/8ZZ8uUvStxtZWblfGfvYozslhQ3Exvy0p4TblJrfH4ksu4Yl58yLOCc7Y2FFfz2P5+dxy1VV8o7KSrYcPh0xbCe9toUxLAZidnU1edjYBoKq+HpNOx5oZM9Brtdw5ZQrPvvMOK3NzI8aYFlks/Piaa5j74osAvPylL2HS65k+Zgxzx43DHz721GqlfNo0khKUT+mTkiIeK+oJxkQLTsCnWSd52dksnDgRfVISttGjMen1vLJkCQATMzKi9g+Jdc3K+nr+bccOVttsrLbZSEpKUrNEZv7xjzg9HvU91mo0oV9Pq/WsykPGp6fzwsKFHO/o4GR7O3/u6sKcnMyE4cN7db4QFzu9Xs/PfvYz9WMhhOwLIYQQA4smoNSW9MLnP/95fvrTn7Jo0aKoz2/bto01a9bwv//7v322wL7W2tpKRkYGLS0tpKen9/dyPnPNLlfk2M8exTk5vLBwIUBIqUFGSgpfe/XVmBkYednZPFxby7ayMj7p6OBfgyaNKCUc88aPxxcI4PH78QcC6JOSMOh0+Px+djY2qj07Ci0W7pk2DZ1Gg6EnELCjJ4NDKQVx+3xkpqQwzmwm/8UXOdHRAaCOVa11ONRAhHK8Qaulqb2dJqeT0okTWbNnT8xMkOVXXhkyLaXQYuGROXM45XLxudRUpj//fMz399WvfIUJGRmsqq6OCDbcn5dHkkZD/gsvhJyzrayMRVHGuYY/H/xeBzPp9exavpyWzk60PQEQR3s71192mWRVCCGEEEII4NP7oKkPPCA9Ny4CbUeOYF+zBrvdLj03epxV5kZDQwNf+MIXYj7/+c9/nvooN4wDkdPpJC0tTW2C2tXVhcfjQafThaRVOp1OAIxGI0k9f9H3eDx0dXWh1WoxBPWVOJtjOzo6CAQCGAwGtD09JrxeL52dnSQlJWEMuik9m2NdLhd+v5+UlBR0uu4vr8/nw+12k5SUxPGOjk9vuj0eCARAqwWtlsq6OhxtbeSYTFiMRlJHjAB6RoUeOhRyLAB+P9WHDvGNq65SX3+UycR9X/wi00aNwpuURJrRyH6Hg8Uvv8z/Kypi6bZtkJzM2rw8ah0Oqg8f7i6DSEoCnY7qhgYCfj95n/sc8ywWtbTE6fHw8N69Ice+efPNfH7ECGp6xtDtdziYb7HwcG0tqRoNXS4Xnq4u0GrRaDTUtbYyLTOTl//xD9bMmEGA7pGueL3g91OYk0P5tGm80dTU3TC1o4PPpaZSefQo8zdtwunx8PLChdDVpa5B1dM8dYzRyEqlvMTn6/5fT1aFLxDgsfx89Vh0OkhK6u7lEXQswX/96uriTFtb93utlLmEHas0Iq08dIin7XY6AJKSyB87Fq/XS2NzM21eL2OGDWNUTxlJvO8TjUZDalA5y9kc63a78fl8JCcnq3/F8/v9uFwuoHts4Lkc29nZidfrRa/XqxObAoEAHT2BrbM5NjU1tdf7/myOvVh+RvT22N587fvi+yTa1/Ncv0+ifT374vsk+OvZF98n0b6effF9onw9z/f7RH5GyM+I3hwrPyPkZ8S5HHsx/4wQQlx4kfn3cbS3t4f8AAqXmpqqbvyBLjs7m5MnT6r/fvzxxzGbzaxcuTLkuFGjRmE2m2kIKhl45plnMJvN3HbbbSHH5uTkYDabee+999THnnvuOcxmMzfccEPIsVdddRVms5m33npLfezFF1/EbDazePHikGOnT5+O2Wxmz5496mMVFRWYzWaKenoyKPLz8zGbzWwPyjyoqanBbDYzc+bM0LGfGzbA2rUQlGnz+v79mM1mpkyZoj7W0tUFv/td97FB66WpCdau5euFhWoPjfTkZPY/8QRLJ0/mtZdeUhttPjF5MksnT4Yf/xj4tBSl8I03YO1aVnd0sP+rX+XVr3yFf0pJ4ZGiIq4NCpoAsHVr9xpqaoDuaSyrJk3qfmztWsouuYTknr4YJe+/z+PFxSz5t39j6datlL78MvsbG1nyhS/wcFERSW43j8yZw9u33MLSo0dh7VrOvPQSS7du5YF9+1i0ZQtLp06l4NJLuVyr5bnrruNvt9xCzR//2P16PQ03VT/+MaxdS0Nd3aclOLW13cf2ZGpUNzTg9vlI+fnPux9vagJ6Gqi+9Vb3Y7/7Xeh1n3ySm7/4RQgOGv7v/3Yfu2EDhRYLK3NzKXjxRX5288103HcfHDqESa8HjYaSRx7BZrVSMHcuV/7nf3LDK6/Q2NpKUVERZrOZip7SIIA9e/ZgNpuZPn06R48e5ejRo/j9fhYvXozZbObFnvIfgLfeeguz2cxVYV+jG264AbPZzHPPPac+9t5772E2m8nJyQk59rbbbsNsNvPMM8+ojzU0NGA2mxk1alTIsStXrsRsNvP444+rj508eRKz2YzZbA459r777sNsNvPQQw+pj3V0dKjHBv+MeuihhzCbzdx3330h11COHYo/I4Jdd911mM1mtgRlFtXW1kb8jAD4yle+gtls5g9/+IP62N///nfMZjOXXXZZyLE333wzZrOZX//61+pjH330EWazmbFho+nuvPNOzGYz69evVx9ramrCbDYzbNiwkGPvvfdezGYzjzzyiPpYS0uL+vX0er3q42vXrsVsNrN27Vr1Ma/Xqx7b0tKiPv7II49gNpu588471X0BMGzYMMxmM009exlg/fr16rHBxo4di9ls5qOPPlIf+/Wvf43ZbObmm28OOfayyy7DbDbz97//XX3sD3/4A2azma985Sshx06ZMgWz2UxtUEbXli1bMJvNXHfddSHHzpw5E7PZTE3Pz1CA7du3YzabI5qBJ/oZEUx+RnQbyj8jfvvb36r7Yij/jLj33ntDXk9+RnSTnxFCiM/KWQU3AP7v//6Pd999N+r//vGPf1yINYo+lGh6hjlKzWyic5I0GlbbbKyz2+ny+dj98ccA/Ortt6l1OLhzyhReCPpFzaTXMy4trTtzo+emff1bb/H9vXvx+P38Xy//Q9DW1cWXeyaRAHR5vfgDAcptNuzHj0ccv7OxUf34uv/+b/506BDNnZ1sPngQAPuxY+o4W5Ner/bmcPv9GHv+0nDw9Om4azrV89eCWI53dGAKez9rm5q4qidLJpxRF5pclWkw8IOeXy6njRlDXna2OqUmWLnNxqrqav524kTI45V1ddxeWYm355fQaPx+P+PGjWPcuHHqXz+EEPD//t//k30hRBBfzxSxb3zjG7IvhBBC9Luz6rmRlJSERqMh2inK4xqNRv2P3UCk1Jo5HA7GjBkz5NJJ3cANr7zS3TA0rCylOCeHP1x7LUaNJiRNsNnlYumWLVTX1UWUpczPyuLfvvhFvlZdzcysLGZkZ/Pwnj0h1y20WJgxZgzXjRvHMaeTnM99jrVKz4uekhClzEM5tra+nkfz8/n+X//6aRlN0LGFEyd295/Yv7/78wCKLr2UXxcXc7ilhaKNG0OuC3SvyePhpcWL0RsMPPXWW5TbbCzavDnkWKVJ5xOvv86ujz9Wy0cWWK188wtfwO/18pt//APb2LFqTw+j3096cjJtgQALlb9yRyk12btiBcV//CN3TZ3KbKsVD3BJRgauzk7W7trFrqNH1WMLLRa+cdVV/Mv//A8dQPGECfxs7lzMOh1jUlJo6ezk1pqaT5u/Kl9PnY7qG26gcNOmmOUuf7vhBi7LzIz6fdLR0UF2T6nLmTNnSEpKknTSXhx7sfyMkJTz6MeeOXOG7OxsNBoNZ86cwWQyScr5ORwrPyMurp8RJ0+eZMyYMUB3BoTJZBqyPyOkLEV+RgyGshTpuXFxkZ4bkc4quNHbfhpWq/WcF3ShDfWGotAzLSVsIkpxTg4bSkoYn5bW63OU8acrKiqYnZ3NytzcqFkE0N0Us9Pn4/qtW6lYsoTSl1+Oub69K1bQ7HaTkZLC54xGVtfURExpUV43/LX2f/WrePz+iKadwXYuX47P76e5s5Nsk4n/PXmSe3ftUq+l9gOJMl610GJhvsVCkdXKD/bujVjXI3Pm8KP9+3klaHSrothq5eE5c0IakipjXQN0Z83Ut7Z2BwjDGq0WW608U1TEiJ5fWI53dNDm8ZCZksJd1dURX8sHZs5k9saNMd+D2htvZEZWVsznhRBCCCHExUWCGxcXCW5EOquGogM5aCF6L3jspzIRZXRqatzJGuHnpOn1pGi1nO7spParXyUQCDBz48aogQ2TXs9IoxF9UhKbFy8mLcG4uGa3W50eYtLreaKggEfmzKG9Z/Tpnw4dihlEOelykR1WOxnO7/dTtHmz+u9iq5WKsjJKt2zB6fGQl5UVMZFEUd3QwEOzZ3P/nj1Rx8Hev2cPj+bn4/Z6I8bW/mTOHDo8HiqWLGG/w8HfT5zgp/n5XP2HP1Bus3HA4aCqoSFkMsxz113H8JQUcjIyaO7sBOCuqio1qGLS63ly3jx+MXcuTq9X/VoeT9D7JlGpkRBCCCGEEEIMJmcV3FB8+OGH/PnPf6aurg6NRsOECRP48pe/zMSJE/t6feICyeyZmgHdZSfHOzr44MwZhqWkqBM14p2jGO5y8dIHHzBx2LCYgY2NpaX88PXX1ckn28rKer1Op8fDnTt2UGy18rO5c/EGAjEDDwr7sWMssFrV1wu2wGplz9GjIY9V1tcTAHYtX05daysZQWmF0Xh6JpdEU93QwPGODvKysym32TAnJ+Pz+/mc0UiT04k/EKD05Zcptlr5yZw5HDpzJiKg4vR4WGe3qwGO052dDOvsxNHezgPvvBOSLeL0ePh6ZaU6xlf5+rh9Pooslk+bmwYpslgSfo5CCCGEEEIIMZicdXDjpz/9KT/84Q/x+/2MGjWKQCDAJ598wve+9z0eeeQRvv3tb1+IdYoLpLG1ldu3bw+5YS7OyWFDcTHje1G2c7yjgyyzmZ2NjRRaLOpNv5J9cN2ECTS73ay22bg6K4t1dju1TU0hxwZTpq6Eq6yv5+62NmqbmmLetCvnrrPbOXDjjdy/ezdfGDVK7Ysx3GBgpMFAk9OJSa/H2ZMJogQR2j0ejDodo4xG9floojVdDebyenm4tlYtQ/nToUOss9uZmZXFKptN/Xx8gQCP9nQfdwf1qVECQuvt9pBATrHVyiqbjavHjCF39OjuXh86HfsdDtbZ7Rzv6FCDG62dnayy2QhAyPtcaLGwymajtbOTrBgZLp2dnWrH9yeeeCKkhlSIoUr2hRCRZF8IIYQYSM4quLFz506+//3v84Mf/IDVq1eTmZkJwOnTp1m3bh3f+973uPrqqyPGRYnPlpKJ0dLVFTcTo9nlighswKcTNYIzAWJds6WrC7fPxzq7nY2lpUD39I9oN+eFFgsbS0u5fft2NpSUAKE33sVWq9q3I5rg10nSaOL24XD7fDx0zTV897XXItbw/bw8vjt9Oj97442YQYTgMpVgC6zW7jGrcRh6mqgqI1qVa1Q1NFA+bZp6XHVDA509QQ2D0qSV7kkn6+32iOCP8vl+5fLL1bId5XPaWFpKW9Baz3R1saKignKbjXKbDbfPh0GrpbapiRUVFexYujTm+r1eL//+7/8OwM9+9jP5ZVUIZF8IEY3sCyGEEAPJWQU3fvWrX3H77bfz4IMPhjw+fPhwfvSjH3Hs2DH+4z/+Q4Ib/ehsMjGOd3REBDYUlXV1aiZA+DWVPg8zs7Lw+HxMzMhgY2kpKUlJ/OSaa8hISWF1TU3UnhQAd0yerN54P5qfz2m3mxEGA6l6PdOffz5mxoRBq8Xp8bCiooJdy5dzd25uxE27cq5Zp+Ou6uqYa3g0P58uvz9uEOGJggLu3LFDfbzIYuHu3Fw2HzwYM/Ok2GpljMkUc0Sry+sN+fexnm7awdks8Xp+VNbXc3dYwyBlHc8uWKA+lpGcjNPjiXkdl9dLY2tr1OwcvV7PAw88oH4shJB9IUQ0si+EGJxOHz6s/oFNnBudTkdyPwd0O8JK7cVZBjf++te/8vvf/z7m8zfffDO33HLLeS9KnJuzycQAaOnqinu9lq6uiGsGl0x8vbJSPbaop9yhaPNmXly0KGq/C+i+ES+32dQb7+smTKDL5+NIayvZJhNPFBSETC5RBJerOD0e/nToEG80NUUNzhRaLLh8vrh9MYCEQYTH5s7lzZtv5pTL1d03IzWVh/btY2djo5qlEp558nRREV/83e/iBmiCpfT8+zfvvsu2sjJ+sHdvSIlKNNGeD84CARidmkpxTk7IFBVFocVCTUMDj/31rxHfEwDJycmsvu8+jnd08LdTp+Jm/wgxVCQnJ0cE9oUY6mRfCDE4NcS5nxODi8FoZOTIkf29jAHjrIIbx48fJycnJ+bzEyZM4NixY+e7JnGOepuJoUg0MSMjOTnimrFKJqoaGgj0PK/vmc8ei3JzXmy18n8nT/L1oOyIxRMnsm/FChrb23F5vRh1Oo62tTEuLY1l27apx62z2/nrTTdRXlMTEkgptFhYP38+p93uuGtweb2MTNBb49CZMyzdulUteXn0wAEemDWLH2k01LW28mh+Pp0+H8ecTlK0WpqcTtL0emaPHRszqBDcT6So598mvZ4NJSX8eP9+pmdlMSFBr5PwAIkiuCwl02hkQ3FxRLArvHwn/HsCzr8PixBCCCGEGLgsZWWYxo7t72UMWq4TJ6jbtInnn3+eSf08UnfkyJFYLJZ+XcNAclbBDbfbTXKcG2K9Xk9XgmwAceH0JhMjWLy/7i++5BIyUlI43tHB5sWL1caVs7Oz445JLbfZGGEwxF2HQatlgdXKmhkzKA3qHWHS67l9yhS+tWtXSMPQBVYrq3sacSrHPVlQgMfn44czZ3aXmPh8NLvdeAMB7tu9m4evuSb+e9HZyS/feouNpaUxx8oqQYTqhga0Go3aQ+O5665j6datUa/7/q23dgcVKitD3lcls0XpJ1Kck8OzCxbQ6fXy1Suv5J6dO6msr6fi8GGAs264CpHBqvHp6Tw5bx6HW1rw+P2MT0tTgzEvLlrEfocjJCAC3dk/t/3lL+w4eLDnTTCARhMz+0eIoSIQCNDS0gJARkYGGo2mn1ckRP+TfSHE4DR88mSG9fNN+WDWduQIdZs2MWnSJHLDysVF/zrraSkbNmzAHGPKQltb23kvSJy7aJkYwdNAPD4fB0+fVksM1L/uh92IL77kEp6YN4+vvfpqyF/vF06cyLVxMnegOyvD4/cn7EnxyJw5Ic02IXZWyI76evyBAOU2G+vsdirKynjkwIGQjA8lI0Gn0fDK4cN8c+pUiq3WmGUrtT0lLcp1wwM24UEEpdeF0+MJyZwIfn/dPh9un49Rqam8sHCh2oA1IzmZjJQUWjs7qV62LOTfZ7q6MOp0IesMbs4aXvYSHhBSn8vJYXRqasTjSRoNN1RUsLG0lO/t3h0xOeVr//RPIccf7+hgx6FD8MMfdj/w8MPQ830VLftHiKGio6NDbaLd3t6OyWTq5xUJ0f9kXwghhBhIziq4YbFY+M1vfhP3GKvVel4LEucuPBMj5kjRoBKD8enpUW/EwwMbAFNHjUrYfMig1aqjXyH6NBQl+yE8WyJeD4zqhgYenzuXZVdcwQGHg30OR8TzAD/pydi49S9/YfcNN3B3dXVE2crqoAyKqoYGvjdjRsREleBjFG6fj2KrVQ16JHp/rxwxIuR8ZfRqY2tryPu7efHikOOUpqnKpBOTXs8Io5HxZjNOjyei7KU4J4cNJSVRgw6jU1N5ct68qEGj6oYG7qquDsnGONvsHyGEEEIIIYQYCM4quFEXpXwh2Mcff8yPfvSj81mPOA/hmRgxR4oGlRgAESNeT8To3ZGXlcXOxsa4WRnKjf/bJ06Ql50dMoZ0pNFI0ebNEdkPikSNND9qaVF7YEQrJ6luaOCxnn4fJzo6ONLSwtVZWTwyZw51ra1Rp6oA+AIBtpWVYU5Opr2rK+oxAJkpKTw2dy4P7N0LxBnZGuf9TU9OZmVVVcj7G+29CJ50Ur1sGePNZjXbJjwYNTo1NWY2RabRyMysrJDmr+FrDc7GyEhOBr0eHn20+4Cw/imJ+rQIcbFKTU1Vyy51urNOehTioiT7QgghxEDSp/8lOnXqFL/97W/59a9/3ZeXFWchOBPD7fPFzIR4/ehRTrnd3BV2o12ck8NT8+dHbbTp9vlilkwUWiysmz+fzQcP8szbb/PSokW8f/q0+rxGo8HY84uPSa8nAFQtXUpzZ6faz8OY4BejLJOJbWVluH0+NWsiPAjR5vGwcOJEXjl8mPaeAEFeVlbMHhkAXT4fi7ZsYW1eHrUOR8zATYfXy1dfeokXS0tx+Xzxp63U1XG0vZ1v7doV+v72ZK9UNzaq6w4eAxuuyGLhkmHDQoIXmWc5ucQZNn42XHA2xujUVIonTIjahyVW6YsQQ4FGo5FRl0KEkX0hhBBiIJEw+0VIufk9EKPxJHRnHYQHNqD7pnxVdXXUPhQGrTaiZELJyqhtaqKupYXXjx5l17Jl6JKS+EltbcSN/atLltDq8fDkm29GBEe+fOmlFFksIc1Eg8/9x8mT3BnUZ6PYao0IcPj9ftbNm4eWTzMi4gUPgntrKIEbrUYTMWFkZW6u+jqlW7bwxk038UlHR0TPDSVQs85u50RHB6+Hlc9U1tfjC+vzEa/HxrPFxVjPc0JJomwLo07HgaYmNXPnt8XF3BbWhyVe6YsQQgghhBBC9DcJblzE4t3Uxs06qK/nvrA+FNAdJFCCD+HPFVutlE6cyCqbjRMuF4+EBTaU615/+eVs/uCDqP0fHj9wgP9YsIB/27EjJMBR1JMVUvDiixHXCw4UFFos1DQ28kZTE79asIBmt5tiqzVu8OCpwkIOnj5NxZIl7Hc4uH37dnYtX47b6+WjlhY1cHP79u0hQYwOjwe9Vhu154ZSNqPVaHhx0SKWb9sWUT5T3tOTRAmO6DQafnLNNTyh0+H0eslMSYlbbnI24k3FKbJY2HTwoLr+4pwc/r2ggMtff51xHg+3fuc7jDSb+2wtQgxWXV1drF27FoCHH3447uQwIYYK2RdCCCEGEgluXMTi3dQmYtBqI879+4kT/MeCBREZH0U9mQ1KP43qpUuj9uyA7qaaO2I8d9mIEdy7cyczsrNZHZYV8p3XXuOOyZMjgirVDQ3cM21aSBNQp8fDkZYW3D4f5dOmEXjzTW7fvp1XliyhpbOT5s5O9brf2rWLO6dMYfm2beRlZfFiaSmbDx4kd/RotZQlVuPQXcuX81SMRp0aYJXNxi/feitqFkxwaU2shqR9FUyINRUnfDwtdGfufP0vf6Fm3ToAnnrsMel+LwTg8Xj4+c9/DsCDDz4oN3FCIPtCCCHEwHJWwY0lS5bEff7MmTPnsxbRx2Ld1Bbn5JCTkRH33OEGg9q747TbjdvrpaaxkdkbN3LH5Mncd/XV6LVaunw+djY2hpSGnO7sjHndeE1DlWySbYcPR33+G1OmRH08PTmZ/HHjeOv4cV4oLcXt85GRksKh48e5OiuL6y+/nEfmzOH+PXuiBlbcXq8agNBqNMwaO5bapiZ1lGysxqHtHk/UEhronsJSPm0aO+rrWRVl/vVwg6FXDUn7KsARPhXHqNOx6eDBqI1Taz7+mH+96y6GG41SSy1ED71ez7e//W31YyGE7AshhBADy1kFNzIS3BBnZGRwyy23nNeCRN+KNupVaQoZK6tDaRyp3FivrqkJycR4uLaWh2trqVq6lKLNmyPOjzb9ozfPJZqWomQ7hPe4+JzRiG3MGJ58800e3LdPPb7QYuGaceO4d9cuXigtjZkxElwmUllfz925udy2fTt7V6ygobUVbVISM7OzycvOZp3drgYDXAkadSrPB39eJr2eJ+fNY3RqKtfm5ES9LkROMekLwY1IDzQ1xSxLQqfj62vXMiMrq89eW4jBLjk5mccff7y/lyHEgCL7QgghxEByVsGN//qv/7pQ6xAXUKzpGrGyOoIbRx6PMRYWoDlGhka8Bp6O9nYWWK1RAw2ZKSlxPw+jThe1jOPXCxbE7ONxT02N2vg0nuDnvX4/G0pKuGvHDnaENT0NbmAaL1ADnwZylP836fVULFnCT2trQ0azxhptGzzFpK8lajIqI1+FEEIIIYQQg4n03BjC4mV1vH/qFC1dXXjiBAVi3dzHmzoyLi2N1TYb/kAgYlpKRkpKzKBIsdWKWa/nx/v3U93QgEmv57vTp/PPEyeiT0oi02hktc2mTipRggRKJkYiwZ/LpcOGUb5zZ9RgiVajYdOiRbxx7BiZBgPbysrQaDQRr6tMYSm2WhljMrF58WK+MHIkq6qrI4JFyuuE9+a4kAGGeP1YFlitDNfr8Xg86HQ6NBrNBVuHEINFIBDA25ONJftCiG6yL4QQQgwkEtwY4sKzOhpbW7l9+3Yq6+sx6fXsWr6cbWVlEWNOnR5PSF+KYE6Ph2ffeYd18+fj9Hioa21VG3gu27YN6L6RfzQ/P+S5hS+/zIaSEiB0qskCq5X78/JI1mrVwMamRYtI1en43u7dEUGS8CyITp+Pv5040atxsIUWS0TgJVhlfT2P5ufz+tGjESUwyuvmZWWx2mZjwzvvsMpmo+DFF3F6PPztlltiZsEEl8bAp6VBF0q8fixPXXMNo3tK0Nrb26WhqBBAR0cHZrMZkH0hhEL2hRBCiIFEghtC1exyhQQ2NpaWsmb37pCmmcE38X8/cYJ18+dTHtaTo9hq5YczZ3Lw9Gl0SUnq1JFgD9fWkpeVFTKRJHgk6mNaLR0eD+1dXVyWmUlTezunXC6gOzDycVsbmw4ejJpdoRyjZEHkpKfzzaqqqIGTQouFe6dN441jx6hauhRtUhJ+YG1eXkQfDMXR9vaIsholq8N+0010+nw4vV5yx4wJGQPbnqDMRCmNCS8NulBiZe4k+/0X9HWFEEIIIYQQoq9JcEOogvtrxJrkofz7yXnzuGzYMP75v/+bzYsX892rrw4Zsfqj/ft5aNYsthw6FDNjoqm9nWKrldcdjugjUa1Wnpg3jyanE51WiyU9HeieqhK8lnDBWRCFFgtvHT/OHZMns6KignKbjcfnzuVwSwtjTCaMOh3JSUmss9tjZmJEC3BEU1lfz1Gnk8JNmyKeK7ZaSU/QU+TyzEwO3noraSkptHR2cqCpiWEpKYyK0TOlL0TrxxIIBGhubgYg9QJmjwgxmKSmpsq+ECKM7AshhBADiQQ3hCq4gaUyljWa6oYGnpw3j5l//CPlNltEaYjiS5dcwt9PnODeadNYdsUVZJvNanmLo62N+RYLc8eP57XGxugjUevrWV1To04TeWXJEoqt1oTNQaE7C6LQYmG1zcaKigr23HADU0eNwqDV8nF7O796+22qGhpYm5dHrcORMANEySyZP348eq2WN2+6CYBXDh/mZ2+8oQZADFqt2stCOWfe+PFok5Lw+f1Ry3igO5hywOFgvtXKNyor2Ro0Drc4J4cNxcWM7wnuXGgajYZhw4Z9Jq8lxGAh+0KISLIvhBicTh8+TGcvfp8W0XlOnOjvJYgYJLghVMENLBMFEJrdbpweT9wgyPdff539X/0qnT4f6+32iNKVcenpfHPHDl7+0pf4+o4dUa9R3dDAPdOmMSMri8ffeIOVubmk6nQJx7BOSE8nLztbzbz4qKUlpARmY2kpkDiIU26zqcc/FZZZUmix8P28PKaNGcOynvKT9ORkXli4kBMdHQQ0GlZVV6vnPDRrFmtmzCAAIWUtwUGYmVlZzMjODgluVNbVcXtlJS8sXHjBS1UuNs0ul1p2c6GzYIQQQgghBoOG3/++v5cw6KUYDIwcObK/lyHCSHBDqIInaCQac5rWEwiJFQQx6fVsKCmhur6eF6P0xqisrycA/M9XvsLxjg4qliyJmDii0Ccl8bO//pXqhgZ2NTaysbSUY+3tcRuEbjl0KCQQEfz5OD0eVlRU8J3p0xmWoFTEnJxM1dKlPPD66yG9R+DT7I5lV1xBuc1GrcPB/qYmrr/sMkalpnJDRUVIECN39GhKt2xh1/LlrMrNxe3zqWU8ShCmqqGB1UGNRdX3q66O4x0dfXZjHu+mv6uri0ceeQSA+++/n+RBOhY2uDmu4rPOghEXj4tlXwjRl2RfCDE4WcrKMI0d29/LGJRcJ05Qt2kT//3SS1gslv5ejggjwQ2hCp6gUdvUFHcs68c9wYVYQRClZ0e5zRazN8aO+no+OnOGRVu2ALH7XIwwGNRrKIGJTYsW8f28PCCyQaiSBRH8mDINJVju6NF0JchQae/qoh0STjm5ZNgwZmRlsaKigtnZ2XgDgYhz3D6fOj0mWpPV4OOCKeUtbp+vT/pwJLrp93g8PPTQQwB85zvfGZS/rAY3xw0mWTDiXF0M+0KIvib7QojBafjkyQybNKm/lzEotR05Qt2mTWT19AAUA4sEN0QIZYLGiY4Obr7qKlZVV4fcIBZaLPy8oICizZv5r2uvxaTXU7V0Kc2dnSGjYpVyj29MnRr39YJv5KNNOim0WPCETe9wejws27aN706fzqP5+Wg1Gto9HtKSk3kjKAsCugMxK3NzQ4Idymust9vJy86OG8TJMpk45XYn/ByStVr1dQ+3tETNaFECQYmyYoKfV0piIpqtnmMGQm9u+lN1Or75zW8CoNMNzh8Rwc1xw/V1FowYGnQXwb4Qoq/JvhBCCDGQyH+JRITgCRovlJZyvKODT1wuWjo7qW1q4uO2NpweDwHg4f372RFlVKxWowHO7kYeIiedrLbZaI4SXHB6PDywbx8P7NvHmzffDHRP+bhm3DheX7GC4x0dePx+NMAxp5MXSkvVZqb7HQ5mZ2fzcG0ttU1Nav+N8AyQlbm5zH3xRf785S8n/ByGGwy8uGgR+x0OtBpN1M9byYaJlxVTFJZlEmtqzblmIPTmpv/KESN45plnen3N3vise1+0JBi7m+h5IcKlpKT0+b4QYrCTfSGEEGIgkeCGiEsNdJw6Rf4LLwCwNi+PJwoKePLNN6NOGdFqNDw1fz5A3Bv5WOUiZr2eN2+6ibeOH1fHt8bLrvD5/Zj0ev77ww9ZZ7fz2vLllLz0Eia9nhcXLeKF99+PaOC54sorMen1aplLuc3GQ7Nnq4GU4D4YOxsbWWC1hlwj+FqO9nZqm5p4uLaWIouFxZdcwl+OHIlY8zq7nY2lpfz6nXfUvhrhAZV18+fzvd271cfiNTw9lwyE/rjp74/eFxkJUqMTPS+EEEIIIYQYXCS4IXoluNmoEkC4M8aEk8r6ejr9fhZYreoNvUGnY+qoUeRlZeH2+RhuMJCenMzCl1+OOD8tOZmfHTjAo3Pnsq2sDF1SEl+dNIl7amoiSmTWzJjBSZeLZdu2kZeVxcbSUnyBAIUWC3nZ2TEDMPfu3Em5zca6nr4geVlZ3ZkeGk1EY9N1djsvLlqEBiJe//t5eXR4vdy7axcAVQ0NBPbsYc64cREBDKfHw4Z33uGXhYV0er2smzcPj9/PJy4XHr+f/Q4HP9q3j6eLinjc46GlqwtPgp4gZxuM+Kxv+vur90Xw92u44pwcRqem9vlrCiGEEEIIIfqPBDeGkPMpDQhuNlpZV0dda2vc41s7O1k3fz4P7d3L/37yCb8oKAgZiwrdwYENJSVqhoRJr+eJggJ8gQCrpk3D6fGQpNGQrNWiA66//HLuDpsyUrplC3lZWWqgYll7O9b0dB6cNQuTXh8766G+nvtmzGBGVlZEP4vwxqZOj4fl27axd8UKfujx4PH7GZaSgtfv538OH+Znb7wR0gBVKa25oScjRGkGenlmJuPN5pD3vNnlwqjT0dLVxU2TJjE6NTXk+fdPnYr7Pp9tMKI3N/1Op5Nhw4YBcObMGUwm01m9RrD+6n0R/v2qKM7JYUNJifTbEGetL/eFEBcL2RdCCCEGEgluDBF9URqgNBs93tERcwSs4kxnJ4//9a/8fN48djU0cFdVVdQMCkANTFSUlfHIgQMhGSGFFgvr58/H5fNR39ZGltkMgEajQZ+UxHenTyd39GjMycksuewy3jx2jFl//CNOj4fNixfHXaM+KYmnovSziNbY1Onx4PP7uWbjRgB2Ll/OvBdfjHltZTKKcn5xTg4vLFwIwP+dPMlpt5u05GTMycmMTk3lyhEjol6nrzMQenPT73Q68Xq9Z3XdWPqz90Xw92tLVxcZPe+1BDbEueqrfSHExUT2hRBCiIFCghtDQF+WBig9OJpdrpg33UovjS+MGsU3d+xgdZxxsNUNDfyioICSnBw8fj9XZ2Wxz+FQMyGUEpJ/Lyqi1uEInRhitbJmxgxKt2xRjw/OukjUzDRVr6cqzrqUxqbKdYOntqTp9XGvHfzaxTk5/LakhHaPJ+LrUGix8P2ZM7k0I4NxUYJMFyIDIdFNv9Fo5OOPP1Y/Ph/93fsi8wI3LhVDR1/uCyEuFrIvhBBCDCQS3BgCLkRpQKybbmXCyYqKCl4oLWWd3c53EgQZPjxzhqVbt6rnB5eEQHcJSWtXV0Tz0cr6enyBQEiGhRJE+e706QQg6phap8dDocVCIBCIuy4lO0UZJ6s0Gy20WHA4nbGbnObkMGn4cGpvvFENHADcUFER8XVQzl9+5ZVcf9llUb8OFyIDIThIdbyjgw/OnGGYy6WWKo0dO/acrx1Mel+Ii0VSUlKf7QshLhayL4QQQgwkEtwYAi5UaYBy013f1sahM2fUPhhKYMLj94eMhY3FqNOxNi9PbTZq0usjAhxH29tDghiK8AwL6J50sn7+fFbX1ERMI9lYWsqGd97hkfx8WhN83jnp6WwrK2Ok0chPamuZOmoUxVYrPy8o4JjTySNz5nD/nj0hr1FstbKhpITxaWlcEnSt90+dihlgUj6HeEGmC5GB8FlMMZHeF0IIIYQQQojPggQ3hoDelAaca7PRTKOR4x0dauZFsPFpaXxv927ysrPjjoMdnZoateQkPMCRl5UVdQ3h/T/KbTbu2bkz5pjah+fM4b7du5k6alTcdf3p0CEerq2leulSfl5QwPH2dgBm9vT0WDhxIo/m53O8owOX14tBq2XS8OGMT0uLuF6iAJLb57ug/SfCxStV+tdXXuGaI0dI1etZvXo1yedZOiK9L8TFoKuri/Xr1wP0yb4Q4mIg+0IIIcRAIsGNISBRaYBRp4somTibv+CPTk2l2GqNuFHu9PmobmigtqmJjaWlABFZDj+ZM4cH9+2LCDAoJScbS0tJ1enwBQKMMBhYm5cXMqYViOitkZeVFXdKyiqbjX+bOpVfv/02q202kjQadoT1wVBKa4qtVi7LzGRlVRVbDx8OudYrhw/j9nqZM24cHr+f+RYLJ1wuvIFARHAoUYDJoNVe8P4TweKVKlUdOULV2rUAfPOb3+yTX1al94UY7DweD9/97neBvtsXQgx2si+EEEIMJBLcGAKCSwNeP3qUcptNzYLIycigpqGB1x2OkHPOptloptHIs8XF3LF9e0iDzjM9PSqcHg8rwsaiGrRaxphMaDUaXgkLGiiqGxpYM2MGRZs3q4+F9+RQmpeeDbfX210KM3MmnT4fT82fT5ffT0PPeFultGb22LFsKCmho6srIrARvMbH8vP53u7doZknYcGheAGmQouFJqeT2dnZZ/V5nI+4WSJJSfzzsmV8zmhEp5MfEUIA6HQ6/uVf/kX9WAgh+0IIIcTAIv8lGiKU0oBTbjd3VVWF3IhHa+IJvW822uxy0eX18qviYupbWtBoNDg9HsYFlWcEj0VVbCsrS7ju5s7OkH8Hj2l9o6lJnZaiWGC1YkmQbTIxI4P7du8OydZYOHEiD86axfGODqaOGsW+FSsYn5ZGptHIgQTBkyanM2LqSnhwSA0wxZqWMmwY0N2b42xLg85F3CwRnY5f/Pu/xxxPK8RQlJKSwnPPPdffyxBiQJF9IYQQYiCR4MYQc1dVVcyJHdEadrZ0dcXtxxHclFJpBDrObGb+pk3s/+pX4/a0qG1qitlHQxFtnKuSLTErO5vDLS28UFqqZoPUNjWx5cMPKbJYoo55LbZaae3qYl9Ypsorhw/j8flYmZvL1159lcrrr1c/x3MtFwkPDo1PT+eF0lKanE6aOzsx6fWk6fUMNxhwejznVRp0tmSKiRBCCCHE0HT68GE6w3rWDTU6nY7klJSzPq/j6NELsBrRVyS4MYTE67MQbeoIgClOPw6zXh+SieD0eLh9+3b2f/WrFFutNLvdrLbZ0Go0EdkKj8yZwymXC21SEjXLllHd0BDRSyNeycmR1lYMWi23bd8eueaeIEtSlNddmZvL42+8ET1Tpb6e+66+GvvNN+P2etn78ccMNxrJTElh8SWXsPWjjyJeq9hqjVsWE17+Ea33RLPLxW0xmnv2tjQokWgBKpliIoQQQggx9DT8/vf9vYRBzWA0MnLkyP5ehohCghtDSG8mdgQrzslhv8MRctNt0uuZPmYMH545Q3JSEqtsNqZnZbHObgdgQ0kJ5TU1rMzNpbGtja0ffcTDc+Zwd24ubp8Po07H6NRUHty3L6TXRunEiexavlydPDLCYCAtOZmFL78cda0T0tNp7eqiYskS9jscIYERpcfHWzffTGNbG82dnRFjat1eb9RMldOdnfz0wAFmZGerzxVbrayfPx9fIBCy5mKrlWeKipj6u9/FfE97k/URL+jU29KgeGKNfP1tcXHUKSbJfj/Despkjh49islkOufXFuJi4XQ6GTt2LCD7QgiF7AshBidLWRmmnr07FLlOnKBu0yaef/55Jk2adNbnjxw5EovFcgFWJs6XBDeGkN5M7FAU5+TwTGFhyI27khGx3m6PGNtas2wZVfX1rLfbqW5ooKaxke9On85j+fnsO3qUFw8epLqhgbV5edQ6HCGlKia9nq9PmcKa3btDSkmKLBY2lJREZFgUWSxs6RnTCtF7hjg9HpweT0gz0mDhmSomvZ5ym40J6encOXUqEzMyAFhnt1NZX8/qmhpW22x8Y8oUtQSmyenErNcze+zY8yrvSBR0Op8RsfFGvt7WkxUS3lvD6XTS0tJyzq8pxMVK9oUQkWRfCDH4DJ88mWHncFN/sWg7coS6TZuYNGkSubm5/b0c0YckuDGEJOqzMGn4cGpvvFH9C/6hlpaQoEK5zcaz77zDnHHjeGj2bDx+P2l6PQDvfvIJiy65hLV79wLdwYWfvfEGAKWXXEL++PGsqq6OOqa13GZTgyLBqqL0AimyWFjVM6ZVEa1nSLHVyicuV9z3Q8lUUYI2T4UFbYKDJpX19fxw1iyu2bgx5Brv33rreZd3JAo6nc+I2HPJCjEajXzwwQfqx0II2RdCRCP7QgghxEAiwY0hJDNBn4XxaWlcEnR8WkdHyPmzs7OZmZ3NerudB/ftUx8vtFj4fl4eyUlJmHqCHd+ZPp3SiRNpcjppcjp589gxCsaPJyNK455oAQ9FVUMDP5s7l2tzckhPTqa+rY3bt28PCbpAaCZGocXCzwsKaGhri/t+KJkq5TYbT9ntEQ1Iw4MmHr9ffU7J9HD5fLR6PPx7URGdXi9tHo8aHOptKUlfNvcM760RPm0mXLSskKSkJC677LJev6YQQ4HsCyEiyb4QQggxkEhwY4hRRsKG91mIdiMeftOdaTDwg717YwYBll9xBZsWLcKans69O3dGBEDWzZ/PybCACUT2+gj3UUsLv3r7bfKys6l1OKKWqgCkJSfz1s03k6zVEggE2O9wxJzWUmy1Mj4tjc2LFzMhPT1mcCU4aGLuCdzELM85x+kmiYJOvQ2SROutUb1sWdxzzicrRAghhBBCCCEGiqT+XoD47GUajVw5YgQzsrK4csSImDfPyk13cU4OAPqkpKjjVaE7CJBlNpNtNrO6pibquNl7ampo83goDGvAE23ca7Ask0kdG1vd0MB6uz3qZBejTsfnUlP5p5EjGWs28/dPPmG1zRbxekUWC08VFtLa2cmv3n6bI62tcV/f7fOFXCNWGY0y3aQ5QTlMNErQ6b1bb6X2xht579ZbeWHhQsanpfXq/Fi9NWoaGiiK0fAoVlaIx+PhmWee4ZlnnsETFkASYqiSfSFEJNkXQgghBhLJ3BBxBWd6nExw057WkwUQLVMCuktMyqdNY3VPYEI5rrapiSKLJWrgpNBi4R8nT7KxtFQtC1GyKZTSkLysLPV4r9/PB6dO0eLx8IuCAr61axd52dmU22y4fT6Gp6SQk5HB60eP8u3XXuOOyZOZ0NM8NJbMlBS+n5fH//RMSolXRnM+002ijYntrVi9NdbZ7VHH4sbLCunq6mLlypUAfO1rX0Pfk7EixFAm+0KISLIvhBBCDCQS3BAJKTfd7586Ffe4tq4u2hJM9nB5vXzt1Vcpt9nUgINJp+OWq67i7urqkBvwQouF1T3NQ/Oysng0P199rtPni1oaUmSx8PCcOczftAmAX86fz7QxY6hvbcWg1VLT2Mi6P/2JvKwsNpSUcPv27ZRdeinFVmvU4ECx1UqyVoslLY0sk4mSCRPwJCijOZ/pJucq1msqY3H/euONJGk0CUuRALRaLddff736sRBC9oUQ0ci+EEIIMZBIcEMAkY0oR0XJIojX+LLQYlFLR+IxaLU4PZ6IzIf/WbKEh+fM4e7cXHXUam1Tk9pbo7qhgc6goMKlw4bxnddeizphJWnvXrUJ6EctLfzxvfdi9gnZUFLCO598wpoZM/AFAiHXK7RYWDNjBta0NCxB2R2Jgjz90cci3ms6PR6SNJqIka+xGAwGNscYoSvEUCX7QohIsi+EEEIMJBLcEFEbUUZrjqk2vgw7NjjDorynx0W00pSingBIuEKLhdcdDqaOGsXSrVtjrvOTjg7W5uUxf/x4Wru6WG2zcXVWFuvs9pDmopX19dzdM7N6dnY2AKt7skSMOh37HQ7W9fTMeCw/Hw1QumVLSDaJElwp3bKFrWVlpCUnq8Gevpxu0lcG4pqEEEIIIYQQ4rMiwY0hLlYjSqU55gsLF4ZkcIxPT+eF0lLq29o4dOZMRIbFb959l21lZfxg796IAMi6+fO5b/fukNcJDoy8UFoa8lxwT41On49Lhg3jk44OFv/pT2owo9BiYWNpacT0FLfPh0mvZ1xaGrUOR0imSPA5rV1duH2+qNkkCg3wcXs78GmJTl9MNwnXm+yZWC7UmoQQQgghhBBiMJDgxhAXqxElRDbHDL75TtXpIrIsTHo9G0pK+NH+/UzPyuLu3FxMej1Oj4fapibmb9rEhpIS7rHZaO7sJCc9nT8dOqQGJmqbmtSsj1jjVsODGUqGiFKGojBotZTbbHxr166ILJLgc9KTk3F6PCGBlPAMD6fHw/xNm0KyWc5mpG5v9DZ7Jp6+WlNHRweXXXYZAB9++CGpCbI+zicoI8Rgcbb7QoihQPaFEEKIgUSCG0NcouaXbR4PzS4XR9vbqWttRaPR8OaxY5ROnBgx4SR4ROorPZNFtpWVsWjLFvUYDfClP/2JcpuNCenpTB01ihcXLWK/w8Fv3n2XDSUlAORlZ0cdtxotmKFMT1EUW62MNBopu+yymNkY1Q0N3J+Xx3CDgXc/+YSKsjJ+UlsbEUipKCujw+vFpNdHZLOcz3STYGebPRNPX6wpEAjgcDjUj+Ppi6CMEIPB2ewLIYYK2RdCCCEGEgluDHHxGlGa9HoyU1K4oaIi5OZ1gdXK/PHjKZ82jQCfBhyijUgNzsYA8Pj9MTMylOkld0yezFcSBCaCgxnQXYYC3X09npg3j/mbNvHvRUVxP3eDVsuEYcPQajSsrK4OGRmrZG48+eabfOmyy9RskfMZ9RqLkj0TK3vkRB+/XiIGg4G//e1v6sex9GVQRoiBrrf7QoihRPaFEEKIgUSCG0NcvEaUT86bx11VVRE3rzvq6/EHAuSPG0dedjbfmjaNTIMBj98fcpxJr0eflMRj+fk0OZ1oNBomZmRwd3V1zIyMDSUlpOp0CUfKusPGseakp7OtrIzapibu272bb06dSk6CzIHhPb+Iubxe7pgyJWrAZbXNhk6j4Rdvvqlmi/T1qNeWrq64ZTg3X3VVn75eIlqtlqlTpyY87mxKmoQY7Hq7L4QYSmRfCCGEGEgkuDHExWtEOTM7m69XVkY9T8meuKGighlZWXy/Z/yqIvhm/cF9+z49b+nSqJNUlGveP2MGhZs3s62sLO66DVqt+nGhxcKfDh0KCQqsmTED+/Hj6oja8IwIR3u7OkHEFwjELIFJ0mj4yTXXhGSL9PWo14zk5JCSnvA1rKqu5oXS0gEXKEgU5Gnu7PyMViKEEEIIIXrr9OHDdIb9oXAocfVMb3zvvfcinhs5ciQWi+WzXpLoIxLcEDEbUX5w5kzc89w+X8hNeV52tlqCEutm/XSCG17l+fBylmCFQSNlg6etBPP4/dy7axebFi0iVaeL6KdRbLVybU4OmUYj3kAgZsBlR309vygoYFRqKm6f74KMVR2dmsp8iyVmGU5lff1nmgXh8Xj4wx/+AMCNN96IXq+PelyiII/L66WxtVV6b4iLQm/3hRBDiewLIQanht//vr+X0P80Gm666aaIhw1GIwfff18CHIOUBDeGsPApF6NTU7lyxAj1+TSnU/04Wj+I0ampGHU69aZ8nd3Oxp5xrtH6bwAYdfG/5ZSMjOBrKdNTym025o8fT7JWizk5mS9fein/c/hwxBhYAHPPlJY3jh1j78cfRwQvKuvr1b4Q4eeGq29tZVtZGS6v94KMVc00GkMyUaLp61KYeLq6urj11lsBWLp0acxfVuOVNBVaLNQ0NPDYX/8qvTfERaG3+0KIoUT2hRCDk6WsDNPYsf29jH6lM5lIHjYs5LGOo0d57+mnOXnypAQ3BikJbgxRiaZcNLa28vrRo2qWRHA/iOBAQ5peT8WSJerY1BUVFZTbbJij/FXfpNczOjU1YsqKIjgjw+nxqNf61rRp5GRkUF5TExIwKbJYWBXWWFS5jsI2enRIWUwwtS9ESkrC9+sHe/eyoaSE8WlpCY89F8MTNGLr61KYeLRaLf/8z/+sfhyLWtIU9n0UnE3j9Hik94a4KPR2XwgxlMi+EGJwGj55MsMmTervZQjR5yS4MQQlmnLx3LXXcvv27bzucLCxtJRl7e1qiUm8xpfKRJGHa2vJy8qKeN1ym40H9+1jlc0WMmUFugMVD8+Zw/xNm9THnB4PD9fWsjYvjyftdnaErbcqyljYIouFdfPn8+dDhyi0WCIaj4Zr6eri8mHDKLZaozbHVAIulfX1CTM8zke8LIgLUQoTj8Fg4JVXXunVsePT03ly3jwOt7Tg9vkwaLXUNjWFZNN8llknQlwoZ7MvhBgqZF8IIYQYSCS4MQQlmnLxiculPr+iooLt119P9Y4dAHEbXwJ8Z/p0PH4/Y0ymiICBUqqyq7GRcptNHbuq3BB3eDxRAwjzx4+P2Y+iqqGBR/PzmTpqFBPS09ly6BD3797Nz+fOZenll9PY1hb3vchITibTaOSZoqKIyTDh/Twu5E16vMauF6IUpi8laTQs2rIl5vOfZdaJEEIIIYQQYmiS4MYQlOgmvSWo6afT46EpqPdGrF4a0B3geCw/n/t271Z7ZgRAzbhQsiiUjIxwRVZrRBPRIouF5ASprkdaW/nV22+Tl52tXneVzUanz4dZr4+ZlVFksZCq09HsctHl8/GDmTP5aX4+XT4fzW43rzscIRkIF/omPVZj14Ec2ICBlXUihBBCCCGEGJokuDEEJbpJzwjrQRHc7DJRmUeT06kGJ1ZUVLBr+XJW5ebi9vmYkGBqRiAQIC87W83oyExJISMlBZ1GE/e8zJSUiIkpZzo7+Y+33yZ/3DgemzsX/65dIX0+Ci0WyqdNo76tjZ/s3x81Y2Od3a4GNi70TXp4c9fLhw3rt6BGR0cHU6ZMAeCdd94hNcHnPZizToTorbPdF0IMBbIvhBBCDCQS3BiCYv2l3aTX8+S8eWg1GraVlaHRaNjvcPDW8eNqRkWiqR7BnB4Pda2tLN26FYC1eXlxx7uOMZnUaSwGrZadjY2ss9upWro0ZhPSYquVDq83YmLKGJNJHUnb1N7OjOxsVoeVwdiPHWN3lEkq1WG9PMJv0sMDEaOMxvO6gU/U3PWzFggEOHTokPpxbwzWrBMheutc9oUQFzvZF0IIIQYSCW4MQdH+0m7qmXry09pavl5ZqR5baLFwz7RpTBszBg1Q29QUM0BRbLWq004UwcGQ8PGuwa+x2mbjw+Zm/nrsmBrgmJmdDUBrZyerbDaSNJqQAECRxcLK3NyIwEahxUJKz+sqmSbRymC2lZXxQIxJKtUNDfy8oICbJk1Sb9KbXS5Oud0RvTmKc3J4dsECOr1ezpxlwCNRc9f+GKNqMBjYu3ev+nFvZZ5nkEeIgexc94UQFzPZF0IIIQYSCW4MUcF/aW/zeBhpMPCNHTsibrKrGxrQajQ8U1TEr4uLu0e0Xnkl9+7cGVHKsb6wkGm//33I+cHBkODxruU9I1wzDQZePXKE27dv57Xly3n6b3+LGPe6+JJLWLRlC/+zZAk/nDWLZrebLJOJAPDgvn0RgY3VNpvaSDRepkmiEpuP29qY8rnPkWk00tjayl+OHOHFgwcjAjuVdXXcsX07M4J6fvQ28yJRc9f+GKOq1WqZPXv2Z/qaQgx0si+EiCT7QgghxECS1N8LEP0n02jkyhEjGJOaypGWltg32fX1eP1+DDod39q1ixl/+APTs7LYVlbG5sWLefOmm8jLzqbD44kYAbvObueeadNYYLUCnzYTfeqtt9BoNJS89BIP19byk9mzWVVTE3Xc6/179nDH5MkkaTQ8+eabjEpNpaWzk4IXX2TqqFHqOraVlZGXnc2Kigr0SUnqGNem9naKe14/WKISG41Gw+2VlTS1t3P79u1kmc1RM1aUdQZ/7krmRbPLFfc1EjZ3lTGqQgghhBBCCJGQZG4McUpZxB09DcFiOe120+nzcXduLndMmYJRp2O/w8E6u51ym41ahwPb6NGs7snICA4CpOv1LL38crWxqEGrxdHejtImtMhiYUZ2Nl/vGTcL3WUy5TabWqJySUYGxzo6+N6MGfxo3z4emzuX2UGZEsEKLRaa2ttZbbPx7DvvsOKKK8gfP55VNTUhZThpyclxJ6n4A4GQ0biJ3qPwTJDeZF4kbO7aD2NUvV4vW3pGu5aVlaHTyY8JIWRfCBFJ9oUQQoiBRP4rNAQFN8RM1emYnpWFMcEvJEadju+89lpIZsUCq5UDN97Ih83NLLnsMrx+P/M3bWJjaSlrZsygubOTnPR01uzeHbMZ6K7ly/nToUOccbvVx016PRtLS1lvt4cELxZYrdw/YwY1jY1sPniQNTNm4AsEQgIpxVYr6+bPh0CAutZWpo4aRZffjz4piRcWLuRoezuNbW1Y0tO5f/duVubmRlyj0GJhlc2mTmlRRuMmyvSI9nyizIvejlHt6yam8XR2drJs2TIA2tvb5ZdVIZB9IUQ0si+EEEIMJPJfoSEm2mSOQouFL196adxGoW8cOxZRMrKjvp7VNTXkZWdT9uc/8+sFC5idnY0GKNq8Gehu2hktsAHd5S6rejI9gsfPlttsrLfbI9ayo74efyBAuc3Gz954g2ljxrDsiivU0bEGrZam9nacHg8LX36ZEx0dFFosWNPSKL3kEgC+tWsX07OyeNJuZ0d9PdWNjWoPEGX8rDJ95bnrrgtZW7xmqkoJTLhEmRe9GaP6WU9TSUpKYu7cuerHQgjZF0JEI/tCCCHEQCLBjSEk1mSO6oYGHty3j0fmzOH+PXsiMiF+WVhIblij0OBzleagjxw4wI6lSzna3q4+n6hpp0mvp9bhAFADB3lZWVHLTZTXezQ/n5nZ2bxx7BgaINtsBmCs2UxtUxN//ugjNpSU8Ow773DnlCmsqKhgzrhxtNAdULk7N1e9vtIDJNi2sjKcHg8GrZbinBw+ZzRSnJMTc9pLUU+mx4qKipDrBGdexBNvjGp/TFMxGo3s2rWrT68pxGAn+0KISLIvhBBCDCQS3BhC4k3meOXwYX58zTWsttm4Z9o0XF4vww0GJg0fzpGWlpCJJOHcPh8mvZ4XFy3i33bsUPtuQOJSDp/fT3VDA7VNTWrgIFFApK61laVbt6qTUW7oGQX7xk03qYEKj88XMia2zePBpNOxrawMk14f9/pun6+7b4fTyYaSErLMZjW7InzaS05GBml6PatqakLeo+DMi96INUZ1IE5TEUIIIYQQQoiBRoIbQ0ii/g8fnTnDr95+m9U2G7//xz94uqiILLOZ5qB+GIrghp/m5GReW76cH+3bx4zsbDINBraVlaHRaPAHAnHLXXY2NgKEjImdkKDUwqjTsTYvT51OUnn99fzvyZMkaTTqMUqGhtPjwaTXk5mSwl1VVVTW17OtrCzu9S1paTw5bx7tHg8dHg/NLlfc7AqA5669NuZz50OmqQghhBBCiL50+vBhOhP8MXGw0Ol0JAeVt5+PjqNH++Q6ov8MiODGM888w+OPP86xY8eYMmUKv/zlL7n66qsTnvfCCy+wYsUKvvSlL/GnP/3pwi90kEvU/8Gg1VLd0IBWo+G5664jq6fcI8tkCpkqEq3h5/8sWcLtU6ZENAFdOHEi6+bPp7ymJmrjz+nPP68+FlwiEq+3xejUVGodjpDXKbZauWbsWF79ylfYe/Qov3n3XUYajWwrK8Oo09HY1sb0rCxedzji9s4otlp558SJkMktwf0tYgUsYmVenK/+mKbicrmYOXMmAPv378comSFCyL4QIgrZF0IMTg0xys0FGIxGRo4c2d/LEOeo34MbL774Ivfeey+/+tWvmDFjBuvWraOkpISDBw8yatSomOfV1dXx7W9/mzlz5nyGqx3c4k3mCG6I+brDQYfHw/unTtHS1UVmSgr/sWAB/7ZjB5X19VEbfmYaDHx/796IgMErhw+jBX61YAEdXi+HzpzBmpaG/fhx6nrKXcLHvpr1ehZfcgk/2Ls3ovHpI3Pm8OC+fRGvU1lfz6qe5qa1DgfVy5Zx/+7dbDt8OOT8jaWl3L59OxtKSoDQ3hkLrFbWzJhBac9YO/XaF7C/RSK9nabSl/x+P++88476sRBC9oUQ0ci+EGJwspSVYRo7tr+Xcd5cJ05Qt2kTzz//PJMmTeqTa44cORKLxdIn1xKfPU0gEAj05wJmzJjB9OnTefrpp4Hu/ziOHz+eu+++m+9973tRz/H5fOTn5/Ov//qv7NmzhzNnzvQ6c6O1tZWMjAxaWlpIvwCTJga6xtbWiMkcSu8KpSHmxtJSnn7rrZDAwuKJE/nBrFkc7+hgdGpqSMYFwJs33cS0sMeCvXXzzXziclHy0ktqMOPLl17Kj/ftUzM+ggMNpRMn8lh+PkdaWzHp9bR3dVHb1MTs7Gz++eWXY77OtrIyFm3ZQpHFwozs7IhmoYUWC3nZ2ayz29WASnpyMukpKRi1WmzPPx+zv8h7t97KlSNGxHztCyXa10zp6TE+La3PX8/n81FTUwPA/Pnz0SbomyLEUCD7QohIsi+EGFyU+6CpDzzAsD4KBvSntiNHsK9Zg91uJzc3t7+XIwaAfs3c6Orqwm63s2bNGvWxpKQkioqK2L9/f8zzfvSjHzFq1Chuu+029uzZE/c1Ojs76ezsVP/d2tp6/gsfxJTeEY3t7XzQ3IxBq6W2qUltvLk2Ly/qGNathw/j9HrJy85mapSMmlNR+nIEc3o86HrGxCnlJ+vsdnYtX86a3bsjXq/i8GFcPa8HdGdjNDSwefHiuK+jNCOtamgIaWyqUKa7BJfAKEGLA01NcRun9ld/i0T9PvqaVqtlwYIFF+TaQgxWsi+EiCT7QoiBTe6DxFDTr8GNkydP4vP5GD16dMjjo0eP5v333496zt69e/ntb3/L22+/3avX+OlPf8pDDz10vku9qCg3xd957bWQbACTXs+XL72UvKwsvjF1Kkadjv0OB+vsdpwejzqGVRPUuFPhSZCOmqrXk67RUGy18rrDoWZNaOgORESjBCJuqKhQJ6kkmr4S/HysqSvBjweXdvRHf4veulA9PYQQQgghxMVJ7oPEUJPU3ws4G21tbdx888385je/6XWjlzVr1tDS0qL+r7FnOsdQl2k0sqG4mOKcHODTJqH379nDoi1bWLp1K6Uvv0ytw8HG0lJ1fGpdaytbPvyQorBatP0OB4Ux6tOKLBZe/vBDZm3cyGqbjYqyMmodDhZt2cKRBBFkt8+nTlLJy85mTE9z02iC+4ZA7EBIlsmESa+PGNeq9LeIpjgnh4yUFN4/dYoDTU0cPH2aZpcr7toHK6/XyyuvvMIrr7yC1+vt7+UIMSDIvhAikuwLIQY2uQ8SQ02/Zm6MHDkSrVbL8ePHQx4/fvw4Y8aMiTj+o48+oq6ujkWLFqmPKQ2sdDodBw8e5JJLLgk5JyUlhZQ+Gg90sQkud/AHAtyzcyc7gvpswKcNN8ttNh6urcWg1bLOblczKZSsi3V2OxVlZWg1mpBeHUUWC6t6+nk4PR7eOHaMvR9/rF43USaGJS2NbWVluH0+jDodf//kE56YN4/VYdNXwvuGFIUFOhQLrFbMej3br7+eTIMBs+7TLaAEfKL1t/iPoiK+UVnJ1qAGpcFTVC4mnZ2dlPZ8fdvb29Hp+r3vsBD9TvaFEJFkXwgxsMl9kBhq+vW/QsnJydhsNqqrq/nyl78MdAcrqqurWblyZcTxV155JX//+99DHvv+979PW1sb69evZ/z48Z/Fsi8qSrnD+6dOhQQlginlIcVWKyONRl5ctAj7sWNcM24cv5g3D5fXS5pej0Gr5T8WLOBISwtnOju5dNgw/nToEH87fpwXSktx+3xMzMggd/Ro7p02DafXS5bJxAKrNSKoAjHGslqtXJqZyZxx47hn2jRMej0+v5+djY1qAKXIYuE/FizgW7t2RVxvzYwZzN64Ue2tER6giNbfIiMlJSKwAec+RaXZ5VKvPywlhVEDrOQkKSmJadOmqR8LIWRfCBGN7AshhBADSb+H2O+9917+5V/+hWnTpnH11Vezbt06nE4nt956KwC33HILY8eO5ac//SkGg4HPf/7zIecPGzYMIOLxoeZ8b5h70yxzZW4uRZs34/R41EwJj99PtsnE7du3U1lfT056On+5/noePXCAu774RXJHj2a93c4D+/ap11GyOb726qsAVJSVoYGQ4EpxrLGsPcdcf/nllL78sjp5Zd748RRZrTg9HvY7HHR5vTxRUMAdkyfj9vnIMpn4x8mTlG7ZEtI0NFqAIry/xfunTkUENoLPP97R0ev3urG1VX2v1M91gGWAGI1G3njjjf5ehhADiuwLISLJvhBCCDGQ9HtwY/ny5XzyySf88Ic/5NixY0ydOpW//OUvapPRhoYG+WtAAn1xw5yoWWamwUDJSy+pgQGlJOQ3xcXqa49KTWXz4sU0tbezduZMskwmVlZVRUxCqWpoIMCnpS6lW7bwREEBP5w1i0AggFGnw6zXxxzLWllfz88LCtRyFYNWy87GRrXxKcDCiRNJ8npZ1BMc2VZWxp1BGSAh10sQoIgW+FGCKnlZWXzicqE5fTphQKnZ5Yr4Oimvfy4ZIEIIIYQQQgghuvV7cANg5cqVUctQAHaFlRaEe+655/p+QYNIX90wK800g3tNKAotFl49ciQi0FDd0ECbx0NlfT0mvZ5tZWWs2b1b7cOxraws4SQU6B4Ne+eOHVQtXcpHZ86QZTbj8fvjjmVtdrvVwEU0mWH1hbEmpyjiZa6EB36U5qvr7XZ1nCwkDigd7+iIWfpzthkgQgghhBBCCCE+NSCCG+Lc9dUNc8xmmlYrK3Nz1Uad4Vo7O9m8eDET0tO5f8+ekGBGooBC+PPapCTu3bWLvKwsfjR7dtxztUlJEWNllaajjvZ2dbyrErBJ1Lg0XuZKeOCn3GZjvd0ekZESHFACIsqE2uIEayB2gOWz7tHhcrkoKioCoKqqCqMEXISQfSFEFLIvhBBCDCQS3BjkEvXK6E0vDUW0Zpr6pCSm/O53MbMoznR28rVXX2XX8uXcnZvLHVOmYNTp2O9wYEzQNT084OD0eHB6PFQ3NPDLwkKKLJaomR+FFgtV9fX8srAQh9PJT/bvj8iguDYnh/Hp6WrAprapiUKLJSIgoRyvBEOiCQ/85GVlhbxesNePHuWU281dVVURPUSeLirCpNfHfC+jBVj6o0eH3+9nX0+PFGUakRBDnewLISLJvhBCCDGQSHBjkEvUK0N5vrd//VeaaSrHd/p8zM7ODrm5Dm7iqdVosN98M6uqq0OOKbRY+PKll0YEFILPBXjzpptw+3yccbsZnpLC2rw81tnt1LW0sMpmIwAh5xdZLDw8Zw7zN23ipkmT+GltbdwMCiVgc6Kjg5uvuipincU5OWwoKUmYCREc+PnE5Yp5XLnNFhHYgO4+IXdVVfFkQUHI9Bd1HVZrRIClv3p0pKSksKWn5EfGhwnRTfaFEJFkXwghhBhIJLgxyMXrlaFkJJztX/+Djx+Vmkr1smXcU1NDVUOD2m/iKbuddXY7u5YvZ2VVVUSGRXVDAw/u28cjc+Zw/549VEc5d2NpKT89cCAkOFFosbCxtBSAFRUVlNtslNtsauPQ2qYmTrlczB47lk6fr1clOcHTT14oLQ3JTBmdmtrrAIF6nVOnYh4TL6tjR309j+XnR4y+LbRYWJOXF3F8vJKj148e5bTbfUHKVXQ6nTqaWQjRTfaFEJFkXwghhBhIJLhxEfjF3LnUffGLaDQa9jscrLPbmT12LBtKSgDO6q//wdkCJr2eDSUlnOjo4DtXX81jc+eSotVyf0/T0LV5ebR0dsZsGvrK4cPcNXUqy6+4gkfmzMGg1fLt115Tz43Wt6K6oQENsMpmw+nxRA0UVJSVsaGkBEd7e9z3JVpJTviY13MRL6CUyOGWFh6ZM4dVubkhAZvSl1/mzZtuCllbrJIiJUj0zfDSlwE2UlYIIYQQQgghPisS3BjEomZkWK28fcstjDAYyDQaef/UqbNqONrkdKqBjY2lpfzyrbdCsgyUBqPVjY3kZWXR3NkZd42+QIB5FgturxdvIKBeK16GQ1VDA4/NncvmxYvV/h3BY14t6emMT0ujy+tVx8FGOy5Ryc65itl8NSeHnIyMuOemaLXUtbaydOvWiOfCgxmx1t+bhqbnE8Dx+Xzs2bMHgDlz5qBN0IxViKFA9oUQkWRfCCGEGEgkuDFIxezHUF/PXdXV6sSOs204etrtjhnYUK7vCwRCSkXisaSl0eR04vR4MOn16uOJJqkcbmlRAwBKqcqKigrysrJ489gx0pKTIzIXgo+bPXZs3Cah5yta81V1QovVGjWgVGixUNvURF5WVtRrhgczYmWIxAsM9cVIWbfbzbx58wBob2/HZDKd87WEuFjIvhAikuwLIQan04cP05ngd/GBRqfTkRzW26fj6NF+Wo0YqCS4MUj1dgRsbxuOAnzc2spIo5HXli8HiAhsKKobGii32QDiTiEptFjY9MEHHHA4WGWzodVo1OcSBUWCn1eu/WRBAbPGjsXp8XBnZWXE568eN28e106YcEHHpULsEpdni4u5Y/v2kHKdQouF1TYbv37nnajXijaxJVaGSCJnMyEnGo1Gw1VXXaV+LISQfSFENLIvhBicGn7/+/5eQp8xGI2MHDmyv5chBggJbgxSvc3I6E3DUejOBDl05gw/PXCAyvp6Ni9eHPf6bp+Pt0+c4O0TJ1jdE+gIbwy62mZjRUUFTo+HAHDvtGlqVkOioEhtU1PIY9UNDTxRUMD8TZv4bUkJrzscrM3LIy8rK6Is5an58xmflhZ3/eeitxNncjIy2FBSwkctLZx2u9W+GhvefZf18+dzz86dIcfHm9gSLUPEHwjEXef5luOkpqbyj3/847yuIcTFRvaFEJFkXwgxOFnKyjCNHdvfy+g114kT1G3axPPPP8+kSZNCnhs5ciQWi6WfViYGGgluDFK9zciI9df/xZdcwlOFhRzv6OCDM2cw6XR80NzM6w4HkDizIjMlRZ148uw775CXnc1j+fkcaW1Vb+aVwAZ0Bye+NW2aOt5VOVd5TrHAauXu3Fxu3749InjhB8pzc/H4/WwsLWW93R5SnqGUpTi93t6+jb12thNnrBkZpCcnq0GJmyZNYrTNRqbRyHPXXntWE1vCM0SaXa5eBayEEEIIIYQIN3zyZIaFBQkGsrYjR6jbtIlJkyaRm5vb38sRA5gENwap3mZkAJj1ep4sKOC0201acjJpej1JSUl8PUoz0v1f/SrHnE4yDYaYvSOKrVYuz8zkzZtuos3j4YmCAs50dtLa1RW1UabC6fXytVdfpdxmY1VuLunJyTyan0+nz8cZt5vx6els+fBDbt++nQ0lJRHBi2KrlWeKinB5vdS3tnLPtGnkZWerTUSVIMmzCxao5/Q22yKemP1NEjTwjFW2cr4TW+I1NI2VASKEEEIIIYQQFzMJbgxSvb3BjZZx8OviYl46eDBqM9I1e/bww5kzeWjfPlbm5uILBEIyK4qtVjZce61a9tHscnFDRQWV9fXsXbEi7poNWm3IeNe/3XILZzo78fn97G9qwn78OHs+/pg7Jk+OPg2kvp5/27GDGdnZ6jWCm4gqAQ6lQdLZZlvE0tv+Jp+lWA1N+2IdLpeLxT1lSVu3bsUowRIhZF8IEYXsCyGEEAOJBDcGsUQ3uLEyDrJMppg361NHjeL7e/eyo76enY2NlNts6mSUzJQULs/MDOlnEXzjb9Bqe91HY4HVilGrpcnjYVRqKtdNmMDxjg5KL7kEr98fd0ys0uMDPi1pKbfZ1HPaPJ5zzraI5mwnznxWzjcDJBa/309VVZX6sRBC9oUQ0ci+EEIIMZBIcGOQi3eDGyvjIN4Y1uAxo8FZFoq/3XILHV6vWt4RfGN/prOT1TYbBp2OqaNGqf0yhhsMpCcns/Dll4Hu7I81M2aQ/+KLbCgp4b7du0MCItvKyuJ+zuHrD57eAt39Rvoy2+JsJs70lb4opzlXKSkpPP/88+rHQgjZF0JEI/tCCCHEQCLBjYuQcmP8icsV9fl4zULjBT4ADp05w9KtWynOyeG3xcWMNBjYVlaG2+djpNFI8Usvsa2sjO/v3RvRL2PX8uWc6ezk7598QumWLZTbbFHLTxKJtn5l3Uq/kQ/OnIl7jbPJtjib/iZ9oa/Kac6VTqfjxhtvvOCvI8RgIvtCiEiyL4QQQgwkSf29ANG3GltbuaGigkn/9V+0dHZGPUYZwxpNZoK/vBh1Otbm5bEqN5fDLS00tLVR29TE1159lc0ffMBPZs/m/j172BGln8fqmhr0SUncu2sX5TYbZZdeyjemTqViyRLW5uVh0usTri/amFjoDngE9xvpy2wLpb9JcU5OyOMXooFnonKa5hgBKyGEEEIIIYQYyiRz4yISfmOsBAnCMyPW2e1ULFmCNikpJBuh0GIhIyUlZt+MhRMnMjEjA4NWS3NP4GS/w8HbJ06wsbSU27dv53+WLOHrO3ZEXd8+hwOzXs+BG2/knp07o45xXVFRoY6J1Wo0ITf5RRYLq2w2VlRUhFy32Gpl0vDhah+NZpcLfVJSyLQXk15Puc1GXlYWAP6e96u3gYkL2cAz2EBoXurz+XjrrbcAyM3NRZtgLLAQQ4HsCyEiyb4QQggxkEhw4yISfmOsBAmAkGDF7LFjuXTYMPVm/ZTbjdvrZWdjIwtffpkNJSVo6G7eqVg4cSK/KChgZVVVyOOFFgurbTaefecd7pg8mbrW1pA1KUGFmdnZmPR6On0+vr1rV8g1gtenNAZdUVHBWzffjMvrpbGtDY1Gw+jUVB7ctw+nx6Oep2RPKE1OG1tbWVlVRe6YMTwyZw535+aiS0piuMHA/Xv2hJbKnGWpR6z+Jn01bjZeKZHis2he6na7ufrqqwFob2/HZDJd8NcUYqCTfSFEJNkXQgghBhIJblxEwm98nR4PKyoq1IknGSkpfM5ojMg4uO+11/hCTwPQqaNGodNoWGWzcX9eHslaLc1uNwHg7urqmEGJvOxsNStCYdLr2Vhaynq7XQ0qbCsri7hG8LWUxqCzx45Fq9Gg0WhYtGWLer1ym41vTJmC2+fDoNVy2bBhuHqmowCsrKri9ilTWG+38+C+fQCszcvjgMMROVr2HCanhOuL/hjB10jUTPVCNC8Np9FosFqt6sdCCNkXQkQj+0IIIcRAIsGNi0i0G9/giSfv3XorV44YEfL88Y4Oth4+zNbDh6Ne83+/9jU6fT7Sk5Mj+mgolKCE2+fj7RMn1LKWaA1DEzUsdft8FFksPFNYyOGWFgIxPhfFzuXLOelyMcJgwJqezozs7IjXDJ4AE+58Sj36Ytxsb0uJ4MI0L40mNTWVuijNU4UYymRfCBFJ9oUQQoiBRBqKXkSUqR7RxLoxTlTmcKSlhcJNmyLKTcIla7VMSE/HNno0vywspNhqJS8rK+ImPd6kFoAJPQGKb+3cyWsff4w2wV+C2ru6WLp1K/M3beLOykqWXHaZ2nDUpNezNi8Pc4Jsh3Mt9ehNf4yzvcY6u53VNltEQ9UL0bxUCCGEEEIIIS4WkrlxEVGmetxeWRnSKDTejXFvyxwSBSW0Gg3Tembdm/R6niwoICPK5JW4mQlWK1sOHVKzLH44axan3G6qly2jpqGBdXZ7SL+N8MkpVQ0NrK6podxmU/uNrLfbI8plwp1rqUeioEhvgibnWkokhBBCCCGEEOJTkrlxkVGmerx3663U3ngj7916Ky8sXKg23AwXL9sjOHgQbzxrkcXCzsZG9d9Oj4ev79hBV5QSlFiZCQusVp6YN491drv62JHWVkpeeonCTZs44HCwsbRUHRerNDINPh66R87mZWWFlMTEW/v5lHr0xbjZeKVEi7Zs4XNGI1eOGPGZBjbcbjdf/vKX+fKXv4zb7f7MXleIgUz2hRCRZF8IIYQYSCRz4yIUa6pHrGOjZntYrazMzVXHrsaavBJ+XLCdjY0h41jh08yEJwoKeGj2bJrdbrJMJt755BP++4MPQjIzgrNFqhoaSNJo2LdiBV1+P386dIgVFRUhxwcL7rMRc+3nWeqhBIYqw+qNTXo9T86bhz8Q4EBTU9wJKrGuoazvs+ixEc7n8/HnP/9Z/VgIIftCiGhkXwgxOJ0+fJjOQbJndTod3pMn+3sZYpDQBAKBQOLDLh6tra1kZGTQ0tJCei+nWQwFIeNMk5NJ1mr5v9OncXm9GHU69jsc/Obdd7lj8mTysrIwJyfT3tXFSKORos2bowYZTHo9+7/6Ve7ZuTMiIPLzggI+bmvjdYeDt0+c4M4pU0KCFYUWC3nZ2RGNQPeuWIHb66Vo8+aQ1ym32cjLysLt83F5ZiZdPh8FL76oXi/8mEuHDWN0aiqtnZ2cOY8Rro2trSGBIZNeT8WSJfy0trbXE1TCr6EeHzTi9rPk8Xh47rnnAPja176GvidbRoihTPaFEJFkXwgxuCj3QYORwWjk4PvvY4mRjS0ESHCjv5fT70KCGj03+E6Ph9vCpoAoZSArKirIy8pSAw/bysrUUa3R/M+SJbzucKh9Lyzp6dS3tqLTaOjweslJT8d+/Dj37toVEthQXis8aPLS4sVY09NZs3s3VQ0NIeNmY2WURAu8/P1f/oVv7dp1XiNco72HIw0GvllVFbXRaHFOTswJKsHXyEhOlh4bQgghhBCiTyn3QZayMkxjx/b3chJynThB3aZNPP/888yZM0cCGyIhKUsZwhpbWyNGmRbn5LDm6qt53eEIOVYJHDxZUMDYtDTeOHaMbWVlJGu1cRt+vu5whGRfvHnTTSGBCCWj4oWeshFLejqbDh6MGZRI0WpZ+PLLbCsrY/hf/8p3ZsxAq9GwNi+Pn82dy9H2dvVz8gcClNtsEdkfxVYr+x2O8xrhGiy4DOj9U6cSTlCJdu2zKSUSQgghhBDiXA2fPJlhkyb19zISajtyhLpNm5g0aZIENkSvSHBjiGp2uSICG9B9A+7z+6MGBaobGvjl/PmccLnY8/HHPLhvn/pckcXCxtJSNSgRnH0RrL6tjdU2m3o9pXlmsdXKj6+5hoqPPqLW4Yga2FAanJ7o6OApu52f5OfzzR07qArK2CiyWKhetozCTZuoamjgezNmhHwehRYLT8ybx4w//CHq+xIvANEbfTFBpb/5/X7ee+89ACZNmkRSkvQdFkL2hRCRZF8IIYQYSCS4MUQd7+iImWFQ3dBAeU8AIlwAeKS2NmKUa3DDz4a2NmqbmqJmXyQnJXFDz6jTn82dS4fHg1Gnw+P3c9rtxuv3c8+0aeo6FMHBkkKLhbUzZ0YENpR13FNTwytLlnDM6USXlIT95pvRaTQcbW/ndYeDD5qbYzYihfMLQPTFBJX+5nK5+PznPw9Ae3s7JpOpn1ckRP+TfSFEJNkXQgghBhIJbgxRiW7g3TE6KHsDgdhlF/X1/NDjYV1Y/wvoLj95oqCATIOB5667jhEGAwatlodef52thw+rxxVaLEwbM4Y548ZRbrORlpyMPimJTIOBxtZWdi1fTqfPR5fPFxHYUFQ1NLCmszOkF4jSg2Od3a6WwMRyPgGIgTj95FyMHDmyv5cgxIAj+0KISLIvhBBCDBQS3BiiEt3AB49hVRTn5MTNeAA45nSGlJ1AzwSRsjIeOXCAO3fsUI8tslhYZbNR3dioXlc5Jy87m3V2u9q4dFRqKtvKyli7Zw+V9fXULFsWdx2nOztD/q0EZDaWlvLW8eMUWiwRARjlczyfAETM0brnOXb2s2Qymfjkk0/6exlCDCiyL4SIJPtCCCHEQCLBjSEqboaB1UqT0xn6WM/NuTNBxkeKVquWnZTbbLh9PnLS01m7Zw87wjI+qhoaCEBEf4+/nzzJvxcWcvOkSXR4vVybk0NGSgp/O35cbXSafg7Bmcr6er579dXYxoxh2pgxQGjpS18FIManp/PCwoUy/UQIIYQQQgghPiMS3Bhkwke3picn09rZyZmgUa7xbqKV89s8Hp4pLOSu6uqIDINnFyzA7/fzt1tuwenxkJmSQpbJRKbRSFN7O0UWS9SSkGKrlfFpaey+4QaOtrdz2/btnOjoYFtZGa87HKzNyyMvKwu3z4dRp2O/w8E6uz2kv8eo1FR2LluGw+nkJ2G9PYqtVjYvXszSrVtxOJ0x16E0Ho36+Xd28qu332bOuHHkZWezZsYMDDodIwyGPg1AyPQTIYQQQgghhPjsSHBjEIk2ulUp7VCadxbn5LChuJjx6ekJzzfp9Tw5bx6/mDsXp9dLRnIyRp2OVdXVIX0wlGtmGo20dnayymYjQGjWQ5HFwsrcXGZv3IjT4wmZWqLVaNhYWsp6uz1icsnG0lKMOh3byspw+3xcmZnJ60eP8uLBgxFlI8q6y202bt++neply7inpiYkwKH01gif0qIwaLVqw9RfvvUWRVYrVw0fLoGIIG63m9tuuw2A3/72txgMhn5ekRD9T/aFEJFkXwghhBhINIFAINDfi/gstba2kpGRQUtLC+lRAgADVbPLxQ0VFVGbeRZaLGpvCugORrywcGHIDXu885XjgYhjTHo95TYb8y0WjDodqTodfz50iABgGz0ac3IyPr+fnY2NrLPbQ3pyFFks/KKggBSdjruqqqL2uCi0WPh5QQFf/N3vANhWVgYQ0gw03LayMhZt2cKo1FQ2lJSQbTLh9Hgw6fVkGgzcs3MnWz/6KO77tHP5cjJTUhhhNDIuLS3maw1FTqcTs9kMSPd7IRSyL4SIJPtCiMFFuQ+a+sADDJs0qb+Xk1DbkSPY16zBbreTm5vb38sRg4BkbgwSZzO6tbKujuMdHSHBjXjnK8cDEYGNWBkXq202bqio4LXly5n2/PNRr1vV0IAvEOCkyxU1sKGsPTggEmtKSzDlmBMdHSzesoUFVitXZ2XxcG0t7996K08XFuL2ekM+l+BRsgB+v59Rqalk9fxSJj6VnJzMk08+qX4shJB9IUQ0si+EEEIMJBLcGASaXS7cPh+bFy8O6VURLygQPuo10ejXaM+X22ysjzLWVfn3d6dPR5eUpJaUKGv7zbvvcsfkyeRlZdHa1UWi1CCv369+bqNTU9VASyzBzUILLRaenDePGX/4A8U5OYxKTcXp8XB/Xh7fvfpqmjs7MWi11DY1qaU7RRYLl2Rm9llgI7wPSqK+JwOdXq+nvLy8v5chxIAi+0KISLIvhBBCDCQS3BjgovXZUHpVKDfrEDkdJHzUa6LRr+HPm/R6rpswISRjI1htUxPr58/n3p07Q9a2cOJEqpcto7ymRj1XKTWJpa2ri6VbtwKwwGrl53Pnxh7VarUyxmRi5/LltHd1UdvUxAfNzcweO5YNJSUA3LZ9O687HGwsLeVXb78d0ZT02eJirH1UkhTt6xOv74kQQgghhBBCiL6X1N8LELE1u1wRN87QnTmxPmjKSPh0kOKcHEanpoaco4x+jUY5XjlGKUdpdrtjrq3cZuOesMAGwNRRo7inpiYkoFDb1EShxRL1OuFr31Ffzw/27uXnBQUR5xRbrZRPm8aD+/ZRVV/Poi1beLi2FktaGjdccQUBv5/G9nbumDKFFxct4q3jx8kfN47/WbKE/V/9Km/edBM/nDWLTp+PZpcr5ufWW7G+PpV1ddxeWdknr9Ef/H4/dXV11NXV4ff7+3s5QgwIsi+EiCT7QgghxEAimRsDWG/6bARPS4GerIGSkoiyiEyjkQ3FxdxeWRkx+jX4+A3Fxfylri4keBJNXk+Pi948vs5uZ2NpqbpuRXgfDMXWw4f5waxZPFNURIfHg9PjIT0lBZ/fz99OnOCbU6eybNs29RqvHD7MF0eP5rbt20MmpxRaLNwzbRoB4Pt794ZmcPRBdkVv+pgMxvIUl8vFhAkTAGkQJ4RC9oUQkWRfCCGEGEgkuDGAJeqTkWkw8Lt//mdaOzupXraMjORkRqemxryhHp+ezgsLF6r9IaIdPz49ndnZ2Xy9spK87OyY5SGxRGsI6vR4WFFRQbnNxqP5+dS1tpKTns6fDh0KKa0JuU7PaNr7du9mR1AAYYHVyuqgjJXVNhtvHT8eszdIkkbD9ZdfHjlWtie7InyqzNk4lz4mg0VqWOaPEEL2hRDRyL4QYvA5ffgwnb1o4n+udDodySkp532djqNH+2A1YiiR4MYAlqhPxgiDgSyz+awaY2YGNbtUGmF+cOZMSCPMtp5gg5JxYdDpmDpqFHlZWbh9PkYYDHwuRkAgvPeHwunx8HBtLXlZWSzdupVtZWUx+3kAJGu1fLOqKiQTA7rLVjTAruXL1eDIC6WlPLhvX9Tr7KivZ1WM0VHnm11xtn1MBguTyYTT6ezvZQgxoMi+ECKS7AshBqeG3/++v5fQawajkZEjR/b3MsQgIcGNAUzpgRFcRqKI1lfjbMRrhDms56bc6fFw+/btbCsr4yf79wPdZSen3G6GGwwUW60RZRm1TU0UWSwRQQkI7a+h9OGIlhVSZLGQlpwc9RrQPa727txcNTiSaHxsvOfPJ7viQn59hBBCCCGEuBAsZWWYxo69INd2nThB3aZNPP/880yaNOm8rzdy5EgsMXr3CRFOghsDWG/7ZJytuI0wt2/nueuuU2/a75g8mR/t38+dU6aw3m5XAwomvZ6Knikowdd5+8QJnpw/n/KwpqLh/TWUrBCtRhMaYLFa+feiIv731Km4n0OKVotJr8fp8cTMFlHEe/58sisu1NdHCCGEEEKIC2X45MkM64PAQzRtR45Qt2kTkyZNIjdG9rQQF4oENwa43vTJOFtNTmfsRpj19TS73epNe15WFkBETwunx0Ppli08WVDAk/Pm0ebxkKbXk6LVcqari2cXLMDt89HsdtPp87GzsTGkv4bT4+E377zDytxc7u75wZeTkcHYnmZkWQmakmWkpKjjcONlixTn5NAUI2W2L7IrLsTXp791dnaycuVKAJ5++mlS+qBmUojBTvaFEJFkXwghhBhIJLgxCAT3yegLp+OMeAVo7uzkqpEjeWHhQv5x6lTMyShOj4ev79jB3//lX7CkpdHS2clJt5thKSkMNxgAuH/3bm6fMoVahyOkcegCq5VfzJvHiY4O0pOTGWk0hvQOGeZyxSxbKbRYSNJoePqtt6j96lfRajTc8YUvUFlfT5bJhNvnw6jT4Whv57oJEyAQiCgf6cvsir7++vQ3r9fLhg0bAFi3bp38sioEsi+EiEb2hRBCiIFEghtDkDlBKYZJrwe6b9pHGo0c6+iIe6wGqPjoI7LMZtw+HyddLnZ//DHzx4+nurGR6sZGym02ym02On0+ctLTsR8/zjUbN3LH5MnkZWVR39rKBLebbJOJTKORlq4udSpKtPKWxrY2Kuvr0SUlceWIETS2tvLSwYMRPUSuzcm5KLMrLiS9Xs9PfvIT9WMhhOwLIaKRfSGEEGIgkeDGEJSm18fNikgL+gVldGoqjvb2mNf67vTpfOJy8eLBgxFBiMuGDeO706fzwL59aubHQ7NmccrlYnxaGi8tXozX76e6oYF1djtOj0dtapqu1zOvZ3xsuc2G2+fDoNVS29SkTkiB7oagcXuIBI17lWBG7yQnJ7N27dr+XoYQA4rsCyEiyb4QQggxkEhwYwgabjDw/ZkzgcisiO/PnKmWlChGGo0xe1p86dJL+dauXRGBEuXfj+bn80DPmFaTXs9XLr+c1VGajSr9M14/epS/1NUxKzubF0pL0Wg07Hc41OCHSa/niYICMg0GNi9eTKpOF7+HyHmOexVCCCGEEEIIMfBJcGMIyjQauTQjg+VXXhmSFdHkdHLpsGEhgYDjHR0seOkltpWVkbR3b0gQodBiIQBRM0DoeVxDd1DjO9On85XLLuPenTtjBkK+O306Xxw9mvV2O1+vrAx5nY2lpdy+fTsvlpbyyIED3Lljh/r8tp6pLbGcz7jXoSgQCHDy5Emge/yWRqPp5xUJ0f9kXwgRSfaFEEKIgUSCG0PUuPR0rr/sspA+FLOzs0MCG80uFyddLk50dDB/0ybKbTbuzs0NKRFpSxA4cHm9vLJkCQ/X1jJtzJiYGRbVDQ08lp/Pfbt3Rw1+aDUadi1fzqrq6qgZJPGcz7jXoaijo4NRo0YB0N7ejinB5BohhgLZF0JEkn0hhBBiIJHgxhAWrw9FY2srt2/fro5pdXo8USemLL388vivYTBw786d7Kiv59vTp8c9VpuURF52tppNYtTp1JKUyvp6uny+qIGN2qammD1E+mLcqxBCCCGEEEKIgU2CGyJCs8vFX44c4e7cXJK1WqqXLaMmqOmnotBi4Wh7O8VWa9SMjOKcHFK0WvW5EWG9PIKZ9PrubBCHIySIUmy1cuDGG/nvDz6ImSWyzm5nY2kpWo0mdFqK1cqzCxZIv42zZDKZCAQC/b0MIQYU2RdCRJJ9IYQQYiCR4IaIcMrtjph+UhTU9FOZavJ0YSEnXS6eLixkZXV1xBjWDSUlNLa2qo95/P6YGRZPFhRENBoFqKyvZ3VNDcuuuIJRqamY9PqQAAt0Z5WsqKjgrZtv5uO2Nk53dqplM6trani6sJDx6el99fYIIYQQQgghhBhgJLgxxDS7XGqfjWEpKYwKK01pdrm4q6oqIshQ1dBAkkZDzbJlZCQn09LVxbuffIJBp2NHXR3Lr7ySR+bMoa61lZSe5qSaQIDUoLGyzW43q202IHJKy4zsbL4e1CQ0WHVDQ3e/j+pqnigoCGkmqpidnc1rjY1Rr+H2+dRxsEIIIYQQQgghLj4S3BjEEgUqwil9NCIyLIqL1cyG4x0dsceq1tfzyJw53F1Tw46wqSmrbTYe2rePH86aRV1rK9lmM6/W1VFksbDAamVHfT2vOxy8feJESF8NJcOi2e2O+7m6fT719cOzPwotFtYXFjLt97+Pvm4ZB3tWOjs7ue+++wB47LHHSElJ6ecVCdH/ZF8IEUn2hRBCiIFEghuDVG8CFcGaXa6I46H7xv/2yko1syHR2NQmpzMksAGfZmHkZWdzzOlk6datmPR6nigooN3j4ft5eayZMYPdH3/MN6dO5Yk33wzpq7F44kSWXXFF3Nc1aLUAtHs8rLbZ+Na0aTi9XjU40uXzRZSrBJNxsL3n9XpZv349AA8//LD8sioEsi+EiEb2hRBCiIFEghuDUNxAxfbtPHfddWSZzSHPxc3ICMpsSAsqIzkbyijX1q4uXv3KVxhuMHD/nj0hJSTFVivLr7iCpwsL6fT5ONHRQZffz8SMDPZ+/HHMfhyFFgu1TU0ADOv5xcnt9fK1V19V+3/c+k//FHd9Mg629/R6Pffff7/6sRBC9oUQ0ci+EGJwOn34MJ0+3wW5tqvnd/b33nsv4bEjR47EYrFckHWIoUmCG4NQotKR906fxuv3h2RwJMpcON1TFpKi1cYeq2q1qkGGaOpaW7l+61bW5uVxwOGI2hz07upqZmRnh2RuvHnTTdyzaxcbS0tJ0miilrysqKig0GJh8wcfcMDh4KnCQtbOmMGujz9mQ0kJZp2O4pwcKuvqItct42DPSnJyMg8//HB/L0OIAUX2hRCRZF8IMTg1xCjl7jMaDTfddFPCwwxGIwfff18CHKLPSHBjEOpNoCK41AQSZy64vV6aXS5Oxmn6+cS8ecz4wx9iXiMnPR2TXk9eVlZI8CJYVUODen3FKbdbnXjynenT+emcOTQ5nQDUNjWxoqKCvKwsNcjh9HhYVV3Nr4qL+dKll+Job2dYSgq/XrCAVTU1bP3oI/XaytQW6bchhBBCCCEEWMrKMI0de8GurzOZSB42LO4xHUeP8t7TT3Py5EkJbog+I8GNQShRoMKg1VJZV8eJjg6gO9PDHwhQbLVGzfgotFioaWxkjMmEUadjRUUF5TZbRNPP//7gA2ZnZ8e8hv34cfWceMKf9/j9QPdI1wf37ePxN96g3Gaj7NJLmTpqFC+UlqpBDqWvRlVDA+1dXUz93e/U6xTn5PDsggX8LD+fM11dZCQnMzo1VQIbZykQCNDR872TmpqKRqPp5xUJ0f9kXwgRSfaFEIPT8MmTGTZpUn8vQ4g+J8GNQWh0amrMEgylP4VJryeg0XBDRQWV9fWY9Hr2f/Wr3LNzZ0RGhpIRcd2ECWSmpMTMvFg4cSLr589nZXV1zGtsv/56Wjs7467fpNPx4KxZFFmtePz+7s8nKPDi9Hh4uLaWqaNGsXTr1pjXaQl7ncq6Ou7csYMXFi7kihEj4q5BxNbR0YG5p2dLe3s7JpOpn1ckRP+TfSFEJNkXQgghBhIJbgxCmUYjG4qLI5qKBgcZym02VlVXq/0rnB4PH7e1RR3DqmREmPR6tBpNzLKUO6dM4f3Tp+Neo9nt5tJhw/htSQmramoiJpiUTpzIyNRUXj96lAf37QPApNdTUVYGEPL5DE/QdT09yvMy9lUIIYQQQgghhh4JbgxS49PTee6663jv9GlOu90RQYZ548dHZF+87nBQ63BEzcootFhI0+sZbjDw3ddeIy87m8fy8znS2sqE9HS2HDrEiooKXigtjdlPQ7GyuprlV1xBRVkZyysquGPyZPKysgDIychg/9Gj7HM41OOdHg+lW7bwREEBP77mGjp9Pjx+P9a0NIosFqqiNDctslg42t4e9fWj9SRpdrk43tFBS1cXw1JSGGU0SgAkhtTUVNp73ttUacQqBCD7QohoZF8IIYQYSCS4MYhlmc14/f6oGRzapKSI49fZ7WwsLQUiszK+P3Mmww0GAO6dPp1HegIYtQ4HednZ1DocOD0eapuaEo5srW5ooNxm48k332T3DTdwd3V1SECk0GJhY2lpSA8Np8fDnTt2sK2sDI1GQ+nLL/OVyy7j6aIiVlZVhQQ4iiwW1s2fz/xNm6K+L+E9SRpbWyPeo+KcHDYUF4dMlBHdNBqNpBYLEUb2hRCRZF8IIYQYSCS4MciNT0/nyXnzONzSElImEl4OAqgTScptNjUrw6DV0uR0cumwYWQajbx/6hQLX36Z70yfTnFODjdOmsT3XntNLVVRAiRajSZmSQxAslZL7pgx3B1UGqNQAiPlNltEFkhws9H//vBDvj55MqtsNh7Nz8fp8TDMYCAzJYVv79ypNkwNVmy1hox9bXa5IgIb0F2+Ej5RRgghhBBCCCHE4CTBjYtAkkbDoi1bQh5bm5cXNcPC6fHwxrFj3PpP/8T4tDQykpOZnZ1NptFIs8uF2+fjueuuw6jT8crhw/zm3Xe5Y/Jk9ElJPD53LlqNhma3m3Xz5/PRmTNR+24AaDUaSidOVPtqhFOyO6C750a5zUZeVhbm5GTSk5NZm5fHOrudVo+HpVu3Umy18tx115FlNtPscvFvX/wipzo7Qz6/BVYr6+bP54MzZxjmcjHKaOR4R0fU6S4g/Tli6erq4qGHHgLggQceIDnBdB4hhgLZF0JEkn0hhBBiIJHgxkUg2vQUJcNCAyElHcU5OWwoKWF8WhqXBF0jWulGocXChpISbt++nRlZWfzg9deZPmYMpRMn4vR4+OVbb8UcC7uzsVHtsxGL2+fDpNezsbSU9XZ71NIVnUajrlkJbDS2t3PK7eZHs2fzaH4+H7e1MT4tDfvx40x//nk1wFKck8MDM2fGXUO0/hxDncfj4ZFHHgHg/vvvl19WhUD2hRDRyL4QQggxkEhw4yKgTk+prFQDHE6Phw3vvsuGa6/F5fHQ0tVFRnIyo1NTIzIVml0uVlZVMT0ri7tzc3H7fBh1OvY7HDz7zjtsKCnh2Xfe4c4pU1hvt/Pgvn1qUAJCJ5wsnDiRB2fN4nhHR/cUlCVL2O9wsM5ujyiVMWi1lNtsrLfbIzJMqhsa0AC/WrCA5669liyzOWYA5pE5c3hg3z5eOXw45BqVdXXcd/XVcd+78P4cAnQ6HatXr1Y/FkLIvhAiGtkXQgghBhJNIBAI9PciPkutra1kZGTQ0tJC+kXWTDJ4IkisQEY0B0+d4oMzZyKCDEofjXFmM//94YfUOhwhz5v0eqqWLuVkTzmLSadjhNHI/Xv2RL1OcNlKcU4OTxcW4vJ62XTwIHlZWSFBFSUYUrFkCU+99Ra/XrCAr1dWRs0UKbZamZ6VFXWKy9q8PN5oaop+Xk6O9NwQQgghhBBDgnIfNPWBBxg2aVK/rqXtyBHsa9Zgt9vJzc3t17WIi4eE2S8imec43tQXCMTMngB4sqCAvCjBA6fHw0mXi0VbtqiZHG1dXXxj6lTumTZNDVJUNzRg0OnUMhmACRkZjDQYONHRETGeNniaisvrpbKujo9aWmL3zqiv5+4YPxTX2e3Yb76ZVTU1IWU7SqmLBDaEEEIIIYQQYvCT4IbAGwhEHe0K3QGOAKFTTILVNjWxcOJE7pwyhV++9VbIZBQlSHH79u3cOWUKT4f16CjOyWHN1VdT29QU8ZrQPU3FoNUCcNrtjvs5xFqf0+OBQIAXFi48p6wWIYQQQgghhBADnwQ3REQvjODpJW6fDz9w2bBhmPT6iGPX2e3sWr6cNbt3hzQuhU+DFBtKSqJmhlTW1eHz+6OOhK1uaOD+GTOoaWwEUIMcsQxPSYn6eHFODqN6AhkSzOgdp9OJ2WwGoL29HZPJ1M8rEqL/yb4QIpLsCyGEEANJUn8vQPS/zKDAgFJeUutwsGjLFpZu3coXf/c7vvvaa1SUlWHS60POdXo8tHV1RQQ2FNUNDWSbTHEzQ2JNVUnWallntwPdGSLFVmvU4wotFtJTUii0WEIel9ITIYQQQgghhBgaJHNDkJGSQrHVSmV9fczpJUo5yZMFBXx9xw718eKcHFISZFW0Jhi3GqukJDUoU+Tvn3zCs8XF3LljR0jvjCKLhVU2Gwtffpk7Jk/m/rw8DFotww0GKT05R6mpqZw4cUL9WAgh+0KIaGRfCDE4nT58mM4Yv3/3hk6nIzlG1nRvdRw9el7nCxGNBDcuIsHTUoalpDCqF6UYja2trKyqYmVuLr5AIGrjUEVlfT2PFxTw/r/+Ky6vl/auLoYbjZBg4M6wBD/8opWcFFksHG1vB3omqxQVMT4tLaJ3RkZKCq2dnWwtK5NeGn1Eo9Hwuc99rr+XIcSAIvtCiEiyL4QYnBp+//v+XgIABqORkSNH9vcyxEVEghsXicbWVm7fvj2iYeeG4mLGxxh52+xycfv27bzucGAbM4ZH8/Nxeb1xX+e0281P9u8Pyez4dXGxmvkRrthqxRcIUGSxRC1dKbZaaeoJYiiKLBb+Y8ECWrq6eO/WW0MCFtF6Z2T11PsKIYQQQggh4rOUlWEaO/acznWdOEHdpk08//zzTDrPcbIjR47EElZWLsT5kODGRUAJUoQHFyrr6ri9spIXFi6Mms1wvKOD1x0ONpaWst5u54F9+6hYsiTua/mjTFa5Z+fO7vM0mpCSkUKLhZW5uTx24ABPzp9PeU1NyLlKTwy9RsM72dm0dHaSkZLC54xGCVj0o66uLh5//HEAvvOd75CcnNzPKxKi/8m+ECKS7AshBqfhkycz7BwDE21HjlC3aROTJk0iNze3j1cmxPnRBAIJagouMq2trWRkZNDS0kJ6jIyGweb9U6eY9F//FfP59269lStHjIh4/EBTE9s++ohah4PapibKbTZunDSJVdXVUbMslP4Wi7dsiXjOpNfz1s0342hvB42GzJQUkjQaTrtc7Gho4DfvvssdkyerE1hGGAxcOmwYHR4PZ86ijEZceNL9XohIsi+EiCT7QojBRbkPmvrAA+cV3LCvWYPdbpfghhhwJHPjItCSoGFnrOczkpOZnZ2NPimJx/LzaXI6cft8rLLZCEBIlkVhT2BDp9FEvZbT4+GD5mYWBQU+tpWVhfxb6eWhTGQ52zIa8dnQ6XTcfvvt6sdCCNkXQkQj+0IIIcRAIv8lughkJEgDjfX86NRUfIEAT7z5Jg/u2wfA5sWL+dqrr1Jus1Fus+H2+TBotdQ2NbGiooLnrruu1+uKNQUl5kSWBGU04rORkpLCb37zm/5ehhADiuwLISLJvhBCCDGQSHDjIjA6NZXinJyQfheK4pwcRveMZwufppKenMy9O3eGlKAYtFqcHk/MiSmZMSafFFut1DY1hTwWbQoKEH8iS10dxzs6JLghhBBCCCGEEKLXkvp7AeL8ZRqNbCgupjgnJ+RxpWFnptFIY2srN1RUMOm//ou8P/yBK//zP3nv9OmIJqS1TU0UxuhaXGy1kpGSEvF8sdXKLwsLSU5KwqTXJ7xWrIwORXNnJ++fOsWBpiYOnj5Ns8sV93ghhBBCCCGEEEObZG5cJManp/PCwoVqZkZGcrI6QjXWNJXTbnfEddbZ7WwsLQUie248VVhIfUsLD19zDb/Q6TjpcuH2+djvcJD7+98zMyuLjaWlrKiowOnxqNfSQEh2SKzsD4XL42HWH/+o/lt6cXy2nE4no0aNAuDEiRPSIE4IZF8IEY3sCyGEEAOJBDcuIpkxpo0c7+iICGxA9LIRp8fDiooKym02tcmoNT2dQCDAd3ftYuvhw+qxhRYLq2021tntOD0eNYBRbrPxcG0tTo+HDe++y4Zrr6XZ7ebQmTMYtFo6vF4KLZaInhvQPZGlprEx5DHpxfHZ6+jo6O8lCDHgyL4QIpLsCyGEEAOFBDeGgFjTUpSykfAgg9PjodbhwJKWxnyLhSTg36qqIgIk1WHBDOjO0Hg0P5+8rCxyMjIYazKRaTTi8nhYunUr8Om0lOBrQHd5y8rcXFZUVESsVXpxfHaMRiNHjhxRPxZCyL4QIhrZF0IIIQYSCW4MAbGmpShlI1qNJnQkq9XKU4WF7HM4GGEw4HA6o2Z+QHdwotxmC3nM7fMxOzs7JBAR3PQ0ODtEOXdiRgYAV//hDzg9nqivlWjkregbSUlJ5IT1bxFiqJN9IUQk2RdCCCEGEmkoOgQogYVwTo+HZ995h5W5uWwrK2Pz4sVsKytjelYWx5xOiqzW7p4dUXpzBAtvEDrCYIjIsAhveqpMZPnl3/7GlFGjuGrkSJI0mpiBDUg88lYIIYQQQgghxNAkmRsXmfBxr6N6+nBsKC7m9srKkHGxRRYLd06ZojYAVRRbrdw1dSpZZjONra0YdfG/TYJ7dwSPng0Xr+kpQEZKCtXLlnHa7cao07Hf4VD7ecS7ruhbHo+HZ555BoC77roLfdAEHCGGKtkXQkSSfSGEEGIg0QQCgUB/L+Kz1NraSkZGBi0tLaRfZNM3GltbI6aiBE8aCQ58ZCQnY9Tp/n97dx4dRZ3uf/zT6WydhCwSCIQhBBUHEGQHARFlCWpwFDeGYRAYl1FRQEZHca7ijKMIMyo4MKJwL3gERbwKan6KwagIyGZkEURUBgxKwiYkpNNZSOr3h6YvlW5CEkKquvN+neM51VXV1U8n3wf4Pn4XTfzoI72zZ4/5/mHD1LpJEx3zePTbjAw9OWCAHv70U78LgA5OSdGlycl6csMG03vrI/bKBUsXbN+uOUOG1Om5qD23262YmBhJUmFhIavfAyIvAH/ICyCwVPaDuk6bpvgOHer0jBN79yp76lRlZ2ere/fu9RwhcHYYuREkTrfda9WdRqpOF5k3dKieuOwy5ZeUKD4iQokul1r+8g+Vyl1W+rdqpf+69FJJ5gVAh7Zpo9mDBqmgtFS/79DBNAqjPmLPysmR0+HQoquv9saEc8/pdOp3v/ud9xgAeQH4Q14AAOyE4kaQON12r9Lpdxo500iPygU8Z27erJ4tWuiWX/9ak3v0UHF5uSKdTuUWFqpJeLg6NG1a4zj9TZupNvbvv1d+SQnFjQYUGRmpJUuWWB0GYCvkBeCLvAAA2AnFjSBxpp1Eql6vyUiPygU83WVluuXddzW5Rw8ln1JkGJSSol/VYqrI6Yop0/r2rVXsAAAAAOrmp//8RyVVNgSoTmhoqMIjIiRJRT/+eK7CAs4axY0gcaadRKper8lIj6rbtz65YYP3nrTUVC1NT69xfNUVUx7q3btWsQMAAACom5xXXjmr90e6XEpMTKynaID6Q3EjSCRFRek3F1ygzs2a6dKWLVVcXu7dceTLw4d9dhqpyUiP9k2b+t1lpXLh0Nqsr1FdMeWjnByltWmjdQcOaHKPHqb4D5w4wS4pDcztdiv1ly179+3bxwJxgMgLwB/yAghMKSNGKLpVqxrd6zl0SPuWLdPixYvV4ZdFSBMTE5WSknIuQwTqhOJGkEhwufTslVfqrsxM0wiLISkpmpeW5lOIiD7D9q6VoyXOtH1rTf1UXHzaa7Oys7V59GgdLCrS3zdsMI8QadNGQ1NT67RQKeruyJEjVocA2A55AfgiL4DAc94ll9R4t5QTe/dq37Jl6tChA7ujwPZCrA4A9eOYx6N7Vq3Sh1W2a/0wJ0f3fPihjnk8pnvXHzigwaepuKalpiouIkJfHz2qjbm5OuzxKC4iQnHh4covLdUhj8f0vJrEVnzy5Gmvu8vK5HA4NH3jRp/tZjO//15/zMys1efh7LhcLu3YsUM7duyQi6ISIIm8APwhLwAAdsLIjSBRm91SDhYV6f5PPtHr114rp8NhXuCzTRvNuvJKHfV4NPiNN+QuK9Nrw4fr+exsU+Hk1F1VahLbR/v3a3BKik/xQpIGp6ToaHFxtTum+NvtBedGSEiILr74YqvDAGyFvAB8kRcAADuhuBEkarNbSn5pqdxlZcrOy9PI9u311IABynW7JUkbcnPVa/Fi9W3ZUu+OGKGVe/dqdna274iKU3ZVOVPRIb+0VLOys/Xa8OGSZHrW4JQUTerRQ3m/fH5dvx8AAAAAoPGiuBEkarNbSuVx96QkbcjN1au7dvkULz7MyVHI2rWaNWiQZm7e7PeZVUeEVMotLNRhj0f5JSWKj4hQM5dLb1x7rYpOntTf+vfX05dfLs/Jk8ovKdGG3FyNysjQ0l8KH3X9fqg/ZWVlWrRokSRp3LhxCgsLszYgwAbIC8AXeQEAsBOKG0Hi1G1bq0pLTTXtOFJ5b3F5uS5t2dK0gOepMr//XrmFhXpt+HCNysiQu6zM556qIyr2HD+uuzIzTVNYhqSkaGKPHhr7/vtyl5VpcEqKnrvySl395pveZ27IzT3ttJWq8ePcKi0t1Z133ilJ+t3vfsc/VgGRF4A/5AUAwE5YUDRIJLhcWpCWprRftmSr5G/b1sp7z4uMVHF5ebXP/amkRLOzszW5Rw+/108dUZFbWOhT2JB+HgVy6jOycnL0wCefmJ45Kztbk3r08FnktC7bzuLsOJ1OXXfddbruuuvkdDqtDgewBfIC8EVeAADshJEbQaQ227a2jo1VaEiIdh09Wu0zI51OZeXk+C1uVB1Rcdjj8SlsVKr6jMzvv9dTAwaob3Ky1h84oFnZ2RqVkaHJPXrokUsvlSs0VAkREXXadhZnJzIyUitWrLA6DMBWyAvAF3kBALATRm4EmQSXS+2bNlWfli3VvmnT0xYGjnk8KigpUZu4OA05zZawg1NStCE31+81fyMq8ktKqo2t6iiRvQUFGv7WW9pw4IB3sdHNeXlql5CgvsnJ1cYPAAAAAEAlRm40QvsLCnT7Bx8o8/vv1TwqSu+OGKGQtWtNW7FW7mIyKiNDktQ2Lk67xo+vdkRIXEREtZ8bWWXIauXrrJwcOR0Obbv1Vp0XGUlBAwAAAABQKxQ3GpljHo+3sCFJh4qKNGjZMr02fLj+3Lu3jpWUKNLp9O5i4i4rU1pqqpKjo6sdBXKwqEiu0FANSUnxOzWl6iiQqq8zv/9eJ8rKdNIwJIkCh4WKiorUsWNHSdJXX32lKBZzBcgLwA/yAgBgJxQ3GpmDRUWmERqS5C4r06iMDL02fLjmb9tmun6mBT2rjgLJuuUW3f/RR353S6kcBVJ1VEil744f183vvPPzZ6alqXVsbH19bdSCYRj6/pc2YPxSbAIaO/IC8EVeAADshOJGI1N169ZKlQWOTaNHK8ThOOOCpJL/USCDly3TgmHDNHPgQBWWlSkuIkIJERE6VlKijBtuUGFpqWlUyKkqp6lk7tun2zMztTQ9nREcFoiMjNSmTZu8xwDIC8Af8gIAYCcUNxqZU7durcpdVqYQh0Ptmzat9hmV01COeDya2KOHerVsqVnZ2XKXlelQUZF+s3y5JGnX+PHeZ7mPHtWH33+vDQcOKOuUUR3RYWGa3KOHBrVurZOGoYwbbvDunnKwqIjihgWcTqd69epldRiArZAXgC/yAgBgJxQ3GpmkqCilpaYqc98+n2tVt3b159RpKJUGp6ToteHDfUZjnDpKJCkqSl8ePqxJv2wHm5WTo+iwML02fLiez87Wkxs2+DzvRJWRHQAAAADOzk//+Y9KquxiGBoaqnA/mwMU/fhjQ4UFnDWH0cgmSRYUFCguLk75+fmKbaRrOuwvKNDtmZmmAkfl2hqtmzSR9H+jM/JLSxUfEaHmv4yg+G1Ghs+aHdLPBYlLk5NNRYpTR25Ufu69WVnq3KyZLm3ZUokulx5bt06rTvO8F4cO1QUJCfX1tVFDJ0+e1Ouvvy5JGjlypEJDqYEC5AXgi7wAAktlP6i2Il0u7f76a6WkpJyDqID6Q3GjkTq1eFF1bQ1/ozPSUlP1zMCB6vzyy6d95rsjRujaX6akpKWm+l0z49TPdYWGqks1z9s5bpw6JiaezddEHbjdbsXExEiSCgsLFR0dbXFEgPXIC8AXeQEElsp+UMqIEYpu1cp73nPokPYtW6bFixerQ4cOPu9LTEyksIGAQIm9kUpwufyuZ1F1kdBKmfv2aV+3btU+s/iX4W3V7bBy6uduPGUrWH+YlmKNkJAQDRkyxHsMgLwA/CEvgMB03iWXKP6UIsaJvXu1b9kydejQQd27d7cwMuDsUNyAib+tYmvqooQEfXfbbSopL9eBwkIVlZUpNjxcBSUlOn7K9JbK4kZ1i5tWve5vmgyLjZ4bLpdLq1atsjoMwFbIC8AXeQEAsBOKGzA53VaxkrQhN1dpbdr4LX785oILFBserj9mZpquD0lJ0cQePbyLjaalpmpBWppax8bWeHHT002TqXwOAAAAAKBxYwwhTKobTTErO1tzhwxRWmqq6XxaaqqeHzzYp7AhSR/m5Gh2drYm/7JLSua+fbo9M1PHPB4luFxakJbm93mV01qqmyZT+RwAAAAAQOPGyA2YVDeaon+rVmoaGaml6ek+i5FWN50lKyfHW9yQfi5MHCwqUoLLpdaxsX6fVznlpLrnnvoc1J+ioiL16tVLkrR582ZFnWF7YKAxIC8AX+QFAMBOKG7ApHI0xem2iq0sJFQtKHxz/Hi1zy2uspf2qdNfTre4adX76nIdtWcYhr766ivvMQDyAvCHvAAA2AnFDfg402gKf860OGik01mr+2t6X02fg5qLjIzUxx9/7D0GQF4A/pAXAAA7obgBv6obTeFPddNZBqekaMMp276euljo2Ty3Ns9BzTmdTl1xxRVWhwHYCnkB+CIvAAB2woKiqBenWxx0SEqKJvXooVnZ2ZJ8p7fU9bm1fQ4AAAAAIHgxcgO1cszj8U5XiY+IUPNTRnj4m84SFxGhgpISZd1yS42mt/hTl2kyqLuTJ08qIyNDkjR8+HCFhvLHBEBeAL7ICwCAnfC3EE7r1EJGQkSEwp1On+1e01JTtSAtTa1jYyX5n87SMibmtM+tWiA5ndpOk0HdlZSUaMSIEZKkwsJC/rEKiLwA/CEvAAB2wt9C8Gt/QYFu/+ADbyHjL5deqo0HDujDnBzTfZn79un2zEwtTU+vUfGh6nMl3wIJrBUSEqJ+/fp5jwGQF4A/5AUAwE4obsDHMY/HpwBxacuWenLDBr/3Z+7bp4NFRWcsbvh7buX7a1Mgwbnlcrm0bt06q8MAbIW8AHyRFwAAO6HMDh8Hi4p8ChDF5eXVvie/tLROz61UWSABAAAAAKC2GLkBH/4KFZFOZ7XviQsPr9Nza3MdAAAAwNn56T//UbnDofCICElS0Y8/WhwRUD8obsCHv0LFhtxcDU5JUVaVNTekn9fMSIqKqtNza3MdDcPj8ejyyy+XJH366adyMVUIIC8AP8gLIDDlvPKKz7lIl0uJiYkWRAPUH4ob8JEUFaW01FRl7tvnPTcrO1uvDR8uh2RaVDQtNVULhg2r0VoZ/p576nNqUiDBuVdRUaHPP//cewyAvAD8IS+AwNR8wAAdWrNGixcvVocOHSRJiYmJSklJsTgy4OxQ3ICPBJdLC9LSdHtmprcQ4S4r04Lt27XgqqvkKStTfmmp4sLDlRQVVeNFQP09V6pdgQTnXkREhDIyMrzHAMgLwB/yAghMTS64QIfWrFGHDh3UvXt3q8MB6o3DMAzD6iAaUkFBgeLi4pSfn69Yth6t1jGPRweLiupUyLDiuQAAAAD8q+wHXTBunPYsWqTs7GyKGwgqjNzAaSW4XOek6HCungsAAAAAaJwobgAwKS8v10cffSRJGjRokJxn2CkHaAzIC8AXeQEAsBOKGzgrp04xiY+IUHNGZQS84uJipaWlSZIKCwsVHR1tcUSA9cgLwBd5AQCwE4obqLP9BQW6/YMPlPn9995zaampWpCWptasZxKwQkJC1KVLF+8xAPIC8Ie8AADYCcUN1Mkxj8ensCFJmfv26fbMTC1NT2cER4ByuVzaunWr1WEAtkJeAL7ICwCAnVBmR50cLCryKWxUyty3TweLiho4IgAAAABAY0VxA3WSX1p6VtcBAAAAAKgvFDdQJ3Hh4Wd1Hfbl8Xh0xRVX6IorrpDH47E6HMAWyAvAF3kBALAT1txoROpzZ5OkqCilpaYqc98+n2tpqalKioo6y2hhlYqKCq1evdp7DIC8APwhLwAAdkJxo5Hwu7NJmzaaO2SImkZG1rrIkeByaUFamm7PzDQVONJSU7Vg2DAWEw1gERERWrZsmfcYAHkB+ENeAADsxGEYhmF1EA2poKBAcXFxys/PV2wj2a70mMej32Zk+F0AdHBKika2b6+rUlPrtH3rqaNB4sLDlRQVRWEDAAAAsJnKftAF48Zpz6JFys7OVvfu3a0OC6g3rLnRCFS3s0lWTo5aRkfr9sxMHavDfNkEl0vtmzZVn5Yt1b5pUwobAAAAAIAGx7SURuBMO5cUl5d7t2+lOIHy8nJt2LBBknTppZfK6XRaHBFgPfIC8EVeAIGp9MgRq0MAzgmKG43AmXYuifzlHyNs3wpJKi4u1mWXXSZJKiwsVHR0tMURAdYjLwBf5AUQmPZnZCjS5VJiYqLVoQD1iuJGI1DdziaDU1K0ITdXEtu34mcOh0MXXnih9xgAeQH4Q14AgWn16tVKTU1VSkqK1aEA9YoFRRuJ/QUFPjubDE5J0aQePTQqI0P9W7XS0vR0pqUAAAAAQaix9oPQeDByo5FoHRurpenp+rGwUPsKCiRJG3JzvYUNtm8FAAAAAAQqihuNSILLpQSXS61iYnSwqEjNoqL0+w4d2L4VAAAAABDQKG40QpVFDsCf4uJi3XjjjZKkN998U5GRkRZHBFiPvAB8kRcAADuhuAHApLy8XO+99573GAB5AfhDXgAA7CTE6gAkae7cuUpNTVVkZKT69OmjTZs2nfbe+fPna8CAAUpISFBCQoKGDBlS7f0Aaic8PFwLFy7UwoULFc4OOoAk8gLwh7wAANiJ5bulvP7667r11ls1b9489enTR7NmzdIbb7yh3bt3q3nz5j73jx49Wv3791e/fv0UGRmpGTNmaPny5dq5c6datWp1xs9jlWAAAAAAjQ39IAQ7y4sbffr0Ua9evTRnzhxJUkVFhVq3bq377rtPDz/88BnfX15eroSEBM2ZM0e33nrrGe8nqQEAAAA0NvSDEOwsXXOjtLRU2dnZmjp1qvdcSEiIhgwZovXr19foGUVFRSorK9N5553n93pJSYlKSkq8rwt+2QYVgH/l5eX68ssvJUmdO3eW0+m0OCLAeuQF4Iu8AOyNfhAaG0vX3Dhy5IjKy8uVlJRkOp+UlKS8vLwaPeOhhx5ScnKyhgwZ4vf69OnTFRcX5/2vdevWZx03EMyKi4vVrVs3devWTcXFxVaHA9gCeQH4Ii8Ae6MfhMbGFguK1tXTTz+tpUuXavny5afdfmzq1KnKz8/3/rd///4GjhIILA6HQ8nJyUpOTpbD4bA6HMAWyAvAF3kB2Bv9IDQ2lk5LSUxMlNPp1MGDB03nDx48qBYtWlT73n/+8596+umn9eGHH+qSSy457X0RERGKiIiol3iBxiAqKko//vij1WEAtkJeAL7IC8De6AehsbF05EZ4eLh69OihrKws77mKigplZWWpb9++p33fzJkz9cQTT2jlypXq2bNnQ4QKAAAAAABsytKRG5I0ZcoUjR07Vj179lTv3r01a9Ysud1ujR8/XpJ06623qlWrVpo+fbokacaMGXrsscf06quvKjU11bs2R0xMjGJiYiz7HgAAAAAAwBqWFzdGjhypw4cP67HHHlNeXp66du2qlStXehcZzcnJUUjI/w0weeGFF1RaWqqbbrrJ9Jxp06bp8ccfb8jQgaBUXFysMWPGSJJeeeWV065nAzQm5AXgi7wAANiJwzAMw+ogGhL7OwPVc7vd3lFQhYWFio6OtjgiwHrkBeCLvAACC/0gBDvLR24AsJfw8HDNmTPHewyAvAD8IS8AAHbCyA0AAAAACHL0gxDsLN0tBQAAAAAA4GwxLQWASUVFhfbs2SNJuuCCC0wL+gKNFXkB+CIvAAB2QnEDgInH49FFF10kiQXigErkBeCLvAAA2AnFDQA+4uLirA4BsB3yAvBFXgAA7ILiBgCT6OhoHT9+3OowAFshLwBf5AUAwE6YHAkAAAAAAAIaxQ0AAAAAABDQKG4AMCkpKdG4ceM0btw4lZSUWB0OYAvkBeCLvAAA2InDMAzD6iAaUkFBgeLi4pSfn6/Y2FirwwFsx+12KyYmRhKr3wOVyAvAF3kBBBb6QQh2LCgKwCQsLEwzZ870HgMgLwB/yAsAgJ0wcgMAAAAAghz9IAQ71twAAAAAAAABjWkpAEwqKiqUm5srSWrZsqVCQqiBAuQF4Iu8AADYCcUNACYej0e/+tWvJLFAHFCJvAB8kRcAADuhuAHAR2gofzQAVZEXgC/yAgBgF/yNBMAkOjpaZWVlVocB2Ap5AfgiLwAAdsLkSAAAAAAAENAobgAAAAAAgIBGcQOASUlJiSZMmKAJEyaopKTE6nAAWyAvAF/kBQDAThyGYRhWB9GQCgoKFBcXp/z8fMXGxlodDmA7brdbMTExklj9HqhEXgC+yAsgsNAPQrBjQVEAJmFhYZo2bZr3GAB5AfhDXgAA7ISRGwAAAAAQ5OgHIdix5gYAAAAAAAhoTEsBYGIYhvLz8yVJcXFxcjgcFkcEWI+8AHyRFwAAO6G4AcCkqKhICQkJklggDqhEXgC+yAsAgJ0wLQUAAAAAAAQ0Rm4AMImKilJpaakkKTSUPyIAibwA/CEvAAB2wt9EAEwcDgdb+gFVkBeAL/ICAGAnTEsBAAAAAAABjeIGAJPS0lI9+OCDevDBB73DjYHGjrwAfJEXAAA7cRiGYVgdREMqKChQXFyc8vPzFRsba3U4gO243W7FxMRIYvV7oBJ5AfgiL4DAQj8IwY41NwCYhIWF6YEHHvAeAyAvAH/ICwCAnTByAwAAAACCHP0gBDvW3AAAAAAAAAGNaSkATAzD0MmTJyVJoaGhcjgcFkcEWI+8AHyRFwAAO2HkBgCToqIihYeHKzw8XEVFRVaHA9gCeQH4Ii8AAHZCcQMAAAAAAAQ0pqUAMImKitKxY8e8xwDIC8Af8gIAYCcUNwCYOBwOxcfHWx0GYCvkBeCLvAAA2AnTUgAAAAAAQEBj5AYAk9LSUj311FOSpEceeUTh4eEWRwRYj7wAfJEXAAA7cRiGYVgdREMqKChQXFyc8vPzFRsba3U4gO243W7FxMRIkgoLCxUdHW1xRID1yAvAF3kBBBb6QQh2jNwAYBIaGqp77rnHewyAvAD8IS8AAHbCyA0AAAAACHL0gxDsWFAUAAAAAAAENIobAAAAAAAgoFHcAGDidrsVFhamsLAwud1uq8MBbIG8AHyRFwAAO2H1JwA+Tp48aXUIgO2QF4Av8gIAYBcUNwCYuFwu/fDDD95jAOQF4A95AQCwE4obAExCQkLUqlUrq8MAbIW8AHyRFwAAO2HNDQAAAAAAENAYuQHApLS0VLNnz5YkTZo0SeHh4RZHBFiPvAB8kRcAADtxGIZhWB1EQyooKFBcXJzy8/MVGxtrdTiA7bjdbsXExEiSCgsLFR0dbXFEgPXIC8AXeQEEFvpBCHaM3ABgEhoaqrFjx3qPAZAXgD/kBQDAThi5AQAAAABBjn4Qgh0LigIAAAAAgIBGcQMAAAAAAAQ0ihsATNxut+Lj4xUfHy+32211OIAtkBeAL/ICAGAnrP4EwEd+fr7VIQC2Q14AvsgLAIBdUNwAYOJyufTNN994jwGQF4A/5AUAwE4obgAwCQkJUbt27awOA7AV8gLwRV4AAOyENTcAAAAAAEBAY+QGAJOysjK99NJLkqQ777xTYWFhFkcEWI+8AHyRFwAAO3EYhmFYHURDKigoUFxcnPLz8xUbG2t1OIDtuN1uxcTESJIKCwsVHR1tcUSA9cgLwBd5AQQW+kEIdozcAGDidDp10003eY8BkBeAP+QFAMBOGLkBAAAAAEGOfhCCHQuKAgAAAACAgEZxAwAAAAAABDSKGwBMioqK1KpVK7Vq1UpFRUVWhwPYAnkB+CIvAAB2woKiAEwMw9CBAwe8xwDIC8Af8gIAYCcUNwCYREZGasuWLd5jAOQF4A95AQCwE3ZLAQAAAIAgRz8IwY41NwAAAAAAQEBjWgoAk7KyMi1ZskSSNHr0aIWFhVkcEWA98gLwRV4AAOyEaSkATNxut2JiYiRJhYWFio6OtjgiwHrkBeCLvAACC/0gBDtGbgAwcTqduuaaa7zHAMgLwB/yAgBgJ4zcAAAAAIAgRz8IwY4FRQEAAAAAQECjuAEAAAAAAAIaxQ0AJkVFRWrXrp3atWunoqIiq8MBbIG8AHyRFwAAO2FBUQAmhmHou+++8x4DIC8Af8gLAICdUNwAYBIZGam1a9d6jwGQF4A/5AUAwE7YLQUAAAAAghz9IAQ71twAAAAAAAABjWkpAExOnjyp5cuXS5JGjBih0FD+mADIC8AXeQEAsBOmpQAwcbvdiomJkSQVFhYqOjra4ogA65EXgC/yAggs9IMQ7CixAzAJCQnRwIEDvccAyAvAH/ICAGAnjNwAAAAAgCBHPwjBjjI7AAAAAAAIaBQ3AAAAAABAQKO4AcDE4/Goa9eu6tq1qzwej9XhALZAXgC+yAsAgJ2woCgAk4qKCm3bts17DIC8APwhLwAAdkJxA4BJZGSkMjMzvccAyAvAH/ICAGAn7JYCAAAAAEGOfhCCHWtuAAAAAACAgMa0FAAmJ0+e1AcffCBJGjZsmEJD+WMCIC8AX+QFAMBOmJYCwMTtdismJkaSVFhYqOjoaIsjAqxHXgC+yAsgsNAPQrCjxA7AJCQkRD179vQeAyAvAH/ICwCAnTByAwAAAACCHP0gBDvK7AAAAAAAIKBR3AAAAAAAAAGN4gYAE4/Ho/79+6t///7yeDxWhwPYAnkB+CIvAAB2woKiAEwqKir02WefeY8BkBeAP+QFAMBOKG4AMImIiNDy5cu9xwDIC8Af8gIAYCfslgIAAAAAQY5+EIIda24AAAAAAICAxrQUACbl5eVas2aNJGnAgAFyOp0WRwRYj7wAfJEXAAA7YVoKABO3262YmBhJUmFhoaKjoy2OCLAeeQH4Ii+AwEI/CMGOkRsATBwOhzp27Og9BkBeAP6QFwAAO2HkBgAAAAAEOfpBCHYsKAoAAAAAAAIaxQ0AAAAAABDQKG4AMPF4PBo6dKiGDh0qj8djdTiALZAXgC/yAgBgJywoCsCkoqJCH374ofcYAHkB+ENeAADshOIGAJOIiAgtXrzYewyAvAD8IS8AAHbCbikAAAAAEOToByHYseYGAAAAAAAIaExLAWBSXl6uL774QpLUvXt3OZ1OiyMCrEdeAL7ICwCAnVDcAGBSXFys3r17S5IKCwsVHR1tcUSA9cgLwBd5AQCwE4obAEwcDofatGnjPQZAXgD+kBcAADthQVEAAAAACHL0gxDsWFAUAAAAAAAENIobAAAAAAAgoFHcAGBSXFys66+/Xtdff72Ki4utDgewBfIC8EVeAADshAVFAZiUl5fr7bff9h4DIC8Af8gLAICdUNwAYBIeHq6XXnrJewyAvAD8IS8AAHbCbikAAAAAEOToByHYseYGAAAAAAAIaExLAWBSUVGhXbt2SZI6dOigkBBqoAB5AfgiLwAAdkJxA4CJx+NRp06dJEmFhYWKjo62OCLAeuQF4Iu8AADYCcUNAD4SExOtDgGwHfIC8EVeAADsguIGAJPo6GgdPnzY6jAAWyEvAF/kBQDATpgcCQAAAAAAAhrFDQAAAAAAENAobgAwKS4u1ujRozV69GgVFxdbHQ5gC+QF4Iu8AADYicMwDMPqIBpSQUGB4uLilJ+fr9jYWKvDAWzH7XYrJiZGEqvfA5XIC8AXeQEEFvpBCHYsKArAJDw8XM8995z3GAB5AfhDXgAA7ISRGwAAAAAQ5OgHIdix5gYAAAAAAAhoTEsBYFJRUaGcnBxJUkpKikJCqIEC5AXgi7wAANgJxQ0AJh6PR23btpXEAnFAJfIC8EVeAADshOIGAB9RUVFWhwDYDnkB+CIvAAB2QXEDgEl0dLTcbrfVYQC2Ql4AvsgLAICdMDkSAAAAAAAENIobAAAAAAAgoFHcAGBSUlKiO+64Q3fccYdKSkqsDgewBfIC8EVeAADsxGEYhmF1EA2poKBAcXFxys/PV2xsrNXhALbjdrsVExMjidXvgUrkBeCLvAACC/0gBDsWFAVgEhYWpr///e/eYwDkBeAPeQEAsBNGbgAAAABAkKMfhGBnizU35s6dq9TUVEVGRqpPnz7atGlTtfe/8cYbat++vSIjI9W5c2e99957DRQpAAAAAACwG8uLG6+//rqmTJmiadOm6YsvvlCXLl00bNgwHTp0yO/9n332mUaNGqXbbrtNW7Zs0fXXX6/rr79eO3bsaODIgeBkGIYOHz6sw4cPq5EN7AJOi7wAfJEXAAA7sXxaSp8+fdSrVy/NmTNHklRRUaHWrVvrvvvu08MPP+xz/8iRI+V2u5WRkeE9d+mll6pr166aN2/eGT+P4VhA9VggDvBFXgC+yAsgsNAPQrCzdEHR0tJSZWdna+rUqd5zISEhGjJkiNavX+/3PevXr9eUKVNM54YNG6YVK1b4vb+kpMS0PVl+fr6kn5MbgC+32+09LigoUHl5uYXRAPZAXgC+yAugdpo0aSKHw9Fgn0c/CMGkJvljaXHjyJEjKi8vV1JSkul8UlKSvv76a7/vycvL83t/Xl6e3/unT5+uv/71rz7nW7duXceogcYjOTnZ6hAA2yEvAF/kBXBmDT1ign4QgklN8ifot4KdOnWqaaRHRUWFfvrpJzVt2lQOh0MFBQVq3bq19u/fz/AsNBjaHaxC24MVaHewAu0OVjld22vSpEmDxlG1H3T8+HG1adNGOTk5iouLa9BYGlpjyf/G8j2lmuWPpcWNxMREOZ1OHTx40HT+4MGDatGihd/3tGjRolb3R0REKCIiwnQuPj7e577Y2NigbxCwH9odrELbgxVod7AC7Q5Wsbrt+esHSVJcXFyjyQmrfwcNpbF8zzOxdLeU8PBw9ejRQ1lZWd5zFRUVysrKUt++ff2+p2/fvqb7JWnVqlWnvR8AAAAAAAQ3y6elTJkyRWPHjlXPnj3Vu3dvzZo1S263W+PHj5ck3XrrrWrVqpWmT58uSZo0aZIGDhyoZ555Runp6Vq6dKk+//xzvfTSS1Z+DQAAAAAAYBHLixsjR47U4cOH9dhjjykvL09du3bVypUrvYuG5uTkKCTk/waY9OvXT6+++qr+67/+S4888ojatWunFStWqFOnTnX6/IiICE2bNs3vkC3gXKHdwSq0PViBdgcr0O5gFbu2PbvGdS40lu/aWL5nTTkMwzCsDgIAAAAAAKCuLF1zAwAAAAAA4GxR3AAAAAAAAAGN4gYAAAAAAAhoFDcAAAAAAEBAa/TFjblz5yo1NVWRkZHq06ePNm3aZHVICCLTp09Xr1691KRJEzVv3lzXX3+9du/ebbqnuLhYEyZMUNOmTRUTE6Mbb7xRBw8etChiBKOnn35aDodDkydP9p6j3eFc+PHHH/X73/9eTZs2lcvlUufOnfX55597rxuGoccee0wtW7aUy+XSkCFD9O2331oYMQJdeXm5Hn30UbVt21Yul0sXXHCBnnjiCZ26Xj7tDvXh008/1bXXXqvk5GQ5HA6tWLHCdL0m7eynn37S6NGjFRsbq/j4eN12220qLCxssO8Q6P2eYPgd1ER99R9ycnKUnp6uqKgoNW/eXA8++KBOnjzZkF+lwTXq4sbrr7+uKVOmaNq0afriiy/UpUsXDRs2TIcOHbI6NASJ1atXa8KECdqwYYNWrVqlsrIypaWlye12e++5//779e677+qNN97Q6tWrdeDAAd1www0WRo1gsnnzZr344ou65JJLTOdpd6hvx44dU//+/RUWFqb3339fX331lZ555hklJCR475k5c6aef/55zZs3Txs3blR0dLSGDRum4uJiCyNHIJsxY4ZeeOEFzZkzR7t27dKMGTM0c+ZM/etf//LeQ7tDfXC73erSpYvmzp3r93pN2tno0aO1c+dOrVq1ShkZGfr000915513Nkj8wdDvCfTfQU3VR/+hvLxc6enpKi0t1WeffaaXX35ZixYt0mOPPWbFV2o4RiPWu3dvY8KECd7X5eXlRnJysjF9+nQLo0IwO3TokCHJWL16tWEYhnH8+HEjLCzMeOONN7z37Nq1y5BkrF+/3qowESROnDhhtGvXzli1apUxcOBAY9KkSYZh0O5wbjz00EPGZZdddtrrFRUVRosWLYx//OMf3nPHjx83IiIijNdee60hQkQQSk9PN/7whz+Yzt1www3G6NGjDcOg3eHckGQsX77c+7om7eyrr74yJBmbN2/23vP+++8bDofD+PHHH895zMHW7wnE30Fd1aX/8N577xkhISFGXl6e954XXnjBiI2NNUpKShr2CzSgRjtyo7S0VNnZ2RoyZIj3XEhIiIYMGaL169dbGBmCWX5+viTpvPPOkyRlZ2errKzM1A7bt2+vlJQU2iHO2oQJE5Senm5qXxLtDufGO++8o549e+rmm29W8+bN1a1bN82fP997fe/evcrLyzO1u7i4OPXp04d2hzrr16+fsrKy9M0330iStm3bprVr1+rqq6+WRLtDw6hJO1u/fr3i4+PVs2dP7z1DhgxRSEiINm7ceE7jawz9Hrv/Ds5GXfoP69evV+fOnZWUlOS9Z9iwYSooKNDOnTsbMPqGFWp1AFY5cuSIysvLTb9wSUpKStLXX39tUVQIZhUVFZo8ebL69++vTp06SZLy8vIUHh6u+Ph4071JSUnKy8uzIEoEi6VLl+qLL77Q5s2bfa7R7nAu/Oc//9ELL7ygKVOm6JFHHtHmzZs1ceJEhYeHa+zYsd625e/vXdod6urhhx9WQUGB2rdvL6fTqfLycj355JMaPXq0JNHu0CBq0s7y8vLUvHlz0/XQ0FCdd95557wtNoZ+j91/B3VV1/5DXl6e359F5bVg1WiLG0BDmzBhgnbs2KG1a9daHQqC3P79+zVp0iStWrVKkZGRVoeDRqKiokI9e/bUU089JUnq1q2bduzYoXnz5mns2LEWR4dgtWzZMi1ZskSvvvqqLr74Ym3dulWTJ09WcnIy7Q5AwKP/UDuNdlpKYmKinE6nz6qyBw8eVIsWLSyKCsHq3nvvVUZGhj7++GP96le/8p5v0aKFSktLdfz4cdP9tEOcjezsbB06dEjdu3dXaGioQkNDtXr1aj3//PMKDQ1VUlIS7Q71rmXLlurYsaPpXIcOHZSTkyNJ3rbF37uoTw8++KAefvhh/fa3v1Xnzp01ZswY3X///Zo+fbok2h0aRk3aWYsWLXwW7zx58qR++umnc94WG0O/x+6/g7o4m/5DixYt/P4sKq8Fq0Zb3AgPD1ePHj2UlZXlPVdRUaGsrCz17dvXwsgQTAzD0L333qvly5fro48+Utu2bU3Xe/ToobCwMFM73L17t3JycmiHqLPBgwfryy+/1NatW73/9ezZU6NHj/Ye0+5Q3/r37++zVd0333yjNm3aSJLatm2rFi1amNpdQUGBNm7cSLtDnRUVFSkkxPzPWafTqYqKCkm0OzSMmrSzvn376vjx48rOzvbe89FHH6miokJ9+vQ5p/E1hn6P3X8HtVEf/Ye+ffvqyy+/NBVzVq1apdjYWJ//ERFUrF7R1EpLly41IiIijEWLFhlfffWVceeddxrx8fGmVWWBs3H33XcbcXFxxieffGLk5uZ6/ysqKvLec9dddxkpKSnGRx99ZHz++edG3759jb59+1oYNYLRqbulGAbtDvVv06ZNRmhoqPHkk08a3377rbFkyRIjKirKWLx4sfeep59+2oiPjzfefvttY/v27cZ1111ntG3b1vB4PBZGjkA2duxYo1WrVkZGRoaxd+9e46233jISExONP//5z957aHeoDydOnDC2bNlibNmyxZBkPPvss8aWLVuM77//3jCMmrWzq666yujWrZuxceNGY+3atUa7du2MUaNGNUj8wdDvCfTfQU3VR//h5MmTRqdOnYy0tDRj69atxsqVK41mzZoZU6dOteIrNZhGXdwwDMP417/+ZaSkpBjh4eFG7969jQ0bNlgdEoKIJL//LVy40HuPx+Mx7rnnHiMhIcGIiooyRowYYeTm5loXNIJS1eIG7Q7nwrvvvmt06tTJiIiIMNq3b2+89NJLpusVFRXGo48+aiQlJRkRERHG4MGDjd27d1sULYJBQUGBMWnSJCMlJcWIjIw0zj//fOMvf/mLaatD2h3qw8cff+z333Rjx441DKNm7ezo0aPGqFGjjJiYGCM2NtYYP368ceLEiQb7DoHe7wmG30FN1Ff/Yd++fcbVV19tuFwuIzEx0fjTn/5klJWVNfC3aVgOwzCMhhsnAgAAAAAAUL8a7ZobAAAAAAAgOFDcAAAAAAAAAY3iBgAAAAAACGgUNwAAAAAAQECjuAEAAAAAAAIaxQ0AAAAAABDQKG4AAAAAAICARnEDAGAZh8OhFStW1Pn9+/btk8Ph0NatWyVJn3zyiRwOh44fP14v8QWKqj8HfxryZzNu3Dhdf/315+TZpaWluvDCC/XZZ5+d1TNSU1P1+eef12NkAADAShQ3AOAcOHz4sO6++26lpKQoIiJCLVq00LBhw7Ru3TrvPWfbsa9v57JD2lD69eun3NxcxcXFWR1KvalJO2ndurVyc3PVqVOnhgnqF6crqsyePVuLFi3yvr7iiis0efLkevnMefPmqW3bturXr58kqaSkRGPGjFFsbKwuuugiffjhh6b7//GPf+i+++4znQsPD9cDDzyghx56qF5iAgAA1gu1OgAACEY33nijSktL9fLLL+v888/XwYMHlZWVpaNHj9bqOaWlpQoPDz9HUZ4b5eXlcjgcCglp+Pp5eHi4WrRo0eCfazWn02mr732uikuGYWjOnDn629/+5j330ksvKTs7W+vXr9f777+v3/3udzp48KAcDof27t2r+fPn+x2hMXr0aP3pT3/Szp07dfHFF5+TeAEAQMNh5AYA1LPjx49rzZo1mjFjhq688kq1adNGvXv31tSpU/Wb3/xGkpSamipJGjFihBwOh/f1448/rq5du2rBggVq27atIiMjvffPmjXL9Dldu3bV448/bvrcP/7xj0pKSlJkZKQ6deqkjIwM03NPNWvWLNPnvvzyy3r77bflcDjkcDj0ySef+J3KsHXrVjkcDu3bt0+StGjRIsXHx+udd95Rx44dFRERoZycHG3evFlDhw5VYmKi4uLiNHDgQH3xxRe1+lmuXLlSl112meLj49W0aVMNHz5ce/bsOe39/uKdP3++WrduraioKI0YMULPPvus4uPjvdcrfzavvPKKUlNTFRcXp9/+9rc6ceKE954rrrhC9913nyZPnqyEhAQlJSVp/vz5crvdGj9+vJo0aaILL7xQ77//vimeHTt26Oqrr1ZMTIySkpI0ZswYHTlyxPTciRMn6s9//rPOO+88tWjRwvQ7PV07qcrfCIr33ntPF110kVwul6688krv7+tUa9eu1YABA+RyudS6dWtNnDhRbrfb9PlPPfWU/vCHP6hJkyZKSUnRSy+95L3etm1bSVK3bt3kcDh0xRVXSDKPAho3bpxWr16t2bNne9vW3r17deGFF+qf//ynKZ7KtvXdd9/5/Z7Z2dnas2eP0tPTved27dql3/zmN7r44os1YcIEHT582PszvvvuuzVjxgzFxsb6PCshIUH9+/fX0qVL/X4WAAAILBQ3AKCexcTEKCYmRitWrFBJSYnfezZv3ixJWrhwoXJzc72vJem7777Tm2++qbfeeqvaNRROVVFRoauvvlrr1q3T4sWL9dVXX+npp5+W0+ms0fsfeOAB3XLLLbrqqquUm5ur3Nxc77D/migqKtKMGTO0YMEC7dy5U82bN9eJEyc0duxYrV27Vhs2bFC7du10zTXXmIoGZ+J2uzVlyhR9/vnnysrKUkhIiEaMGKGKiooavX/dunW66667NGnSJG3dulVDhw7Vk08+6XPfnj17tGLFCmVkZCgjI0OrV6/W008/bbrn5ZdfVmJiojZt2qT77rtPd999t26++Wb169dPX3zxhdLS0jRmzBgVFRVJ+rnYNGjQIHXr1k2ff/65Vq5cqYMHD+qWW27xeW50dLQ2btyomTNn6m9/+5tWrVolqfp2Up39+/frhhtu0LXXXqutW7fq9ttv18MPP+zzna+66irdeOON2r59u15//XWtXbtW9957r+m+Z555Rj179tSWLVt0zz336O6779bu3bslSZs2bZIkffjhh8rNzdVbb73lE8vs2bPVt29f3XHHHd62lZKSoj/84Q9auHCh6d6FCxfq8ssv14UXXuj3e61Zs0YXXXSRmjRp4j3XpUsXrV27Vh6PRx988IFatmypxMRELVmyRJGRkRoxYsRpf069e/fWmjVrqvlJAgCAgGEAAOrd//7v/xoJCQlGZGSk0a9fP2Pq1KnGtm3bTPdIMpYvX246N23aNCMsLMw4dOiQ6XybNm2M5557znSuS5cuxrRp0wzDMIwPPvjACAkJMXbv3u03nmnTphldunQxnXvuueeMNm3aeF+PHTvWuO6660z3fPzxx4Yk49ixY95zW7ZsMSQZe/fuNQzDMBYuXGhIMrZu3er3syuVl5cbTZo0Md59913vOX8/g+ocPnzYkGR8+eWXhmEYxt69ew1JxpYtW/zGO3LkSCM9Pd30jNGjRxtxcXHe19OmTTOioqKMgoIC77kHH3zQ6NOnj/f1wIEDjcsuu8z7+uTJk0Z0dLQxZswY77nc3FxDkrF+/XrDMAzjiSeeMNLS0kyfvX//fkOS9/dU9bmGYRi9evUyHnroIe/rmvyMqv4cpk6danTs2NF0z0MPPWT62dx2223GnXfeabpnzZo1RkhIiOHxeAzD+Lnd/f73v/der6ioMJo3b2688MILfj+3UtW2NHDgQGPSpEmme3788UfD6XQaGzduNAzDMEpLS43ExERj0aJFp/2ekyZNMgYNGmQ6V1paatxzzz1Gamqq0bNnT2PNmjXG0aNHjfPPP9/Iyckx/vKXvxgXXHCBkZaWZvzwww+m986ePdtITU097ecBAIDAwcgNADgHbrzxRh04cEDvvPOOrrrqKn3yySfq3r27aZHF02nTpo2aNWtWq8/bunWrfvWrX+miiy6qY8RnJzw8XJdcconp3MGDB3XHHXeoXbt2iouLU2xsrAoLC5WTk1Pj53777bcaNWqUzj//fMXGxnqnZdT0Gbt371bv3r1N56q+ln6efnHqaICWLVvq0KFDpntO/X5Op1NNmzZV586dveeSkpIkyfu+bdu26eOPP/aO5ImJiVH79u0lyTS1purPzd9n19auXbvUp08f07m+ffuaXm/btk2LFi0yxTds2DBVVFRo7969fuNzOBxq0aLFWccnScnJyUpPT9f//M//SJLeffddlZSU6Oabbz7tezwej3eqVqWwsDDNnTtXe/fu1ebNm3XZZZfpT3/6kyZOnKgtW7ZoxYoV2rZtmy699FJNnDjR9F6Xy+UdaQMAAAIbC4oCwDkSGRmpoUOHaujQoXr00Ud1++23a9q0aRo3bly174uOjvY5FxISIsMwTOfKysq8xy6Xq9pnnun91b1Pkum9/t7ncrnkcDhM58aOHaujR49q9uzZatOmjSIiItS3b1+Vlpae8XMrXXvttWrTpo3mz5+v5ORkVVRUqFOnTrV6Rk2EhYWZXjscDp+pL/7uOfVc5fevfF9hYaGuvfZazZgxw+fzWrZsWavPPhcKCwv1xz/+0afDL0kpKSkNEt/tt9+uMWPG6LnnntPChQs1cuRIRUVFnfb+xMREffnll9U+8+OPP9bOnTu1YMECPfjgg7rmmmsUHR2tW265RXPmzDHd+9NPP9W6kAgAAOyJ4gYANJCOHTuatvQMCwtTeXl5jd7brFkz5ebmel8XFBT4/N/1H374Qd98843f0RvNmjVTXl6eDMPwdsKrrucRHh7uE09lxy83N1cJCQl+33c669at07///W9dc801kn5eB+LUxTTP5OjRo9q9e7fmz5+vAQMGSPp5Acza+PWvf+2zTkVN1604W927d9ebb76p1NRUhYbW/a/b2rSTSh06dNA777xjOrdhwwaf+L766qvTrm9RE5U7+ZwpPn9tS5K38PDCCy9o5cqV+vTTT6t9Trdu3fTCCy+Y2vGpiouLNWHCBC1ZskROp1Pl5eXewlxZWZlPDDt27FC3bt2q/UwAABAYmJYCAPXs6NGjGjRokBYvXqzt27dr7969euONNzRz5kxdd9113vtSU1OVlZWlvLw8HTt2rNpnDho0SK+88orWrFmjL7/8UmPHjjUtFjpw4EBdfvnluvHGG7Vq1Srt3btX77//vlauXCnp5105Dh8+rJkzZ2rPnj2aO3euz84eqamp2r59u3bv3q0jR46orKxMF154oVq3bq3HH39c3377rf7f//t/euaZZ2r0c2jXrp1eeeUV7dq1Sxs3btTo0aPPOMLkVAkJCWratKleeuklfffdd/roo480ZcqUGr9fku677z699957evbZZ/Xtt9/qxRdf1Pvvv++3Y1zfJkyYoJ9++kmjRo3S5s2btWfPHn3wwQcaP358rYoVtWknle666y59++23evDBB7V79269+uqrPlOiHnroIX322We69957tXXrVn377bd6++23fRYUrU7z5s3lcrm8i6Xm5+ef9jts3LhR+/bt05EjR7wjP5xOp8aNG6epU6eqXbt2PlNnqrryyitVWFionTt3+r3+xBNP6JprrvEWLPr376+33npL27dv15w5c9S/f3/T/WvWrFFaWlqNvy8AALAvihsAUM9iYmLUp08fPffcc7r88svVqVMnPfroo7rjjjtMw+KfeeYZrVq1Sq1btz7j/z2eOnWqBg4cqOHDhys9PV3XX3+9LrjgAtM9b775pnr16qVRo0apY8eO+vOf/+ztRHfo0EH//ve/NXfuXHXp0kWbNm3SAw88YHr/HXfcoV//+tfq2bOnmjVrpnXr1iksLEyvvfaavv76a11yySWaMWOG/v73v9fo5/Df//3fOnbsmLp3764xY8Zo4sSJat68eY3eK/08JWbp0qXKzs5Wp06ddP/99+sf//hHjd8v/dy5nTdvnp599ll16dJFK1eu1P333++zbsO5kJycrHXr1qm8vFxpaWnq3LmzJk+erPj4eO90n5qoTTuplJKSojfffFMrVqxQly5dNG/ePD311FOmey655BKtXr1a33zzjQYMGKBu3brpscceU3Jyco1jCw0N1fPPP68XX3xRycnJpuLdqR544AE5nU517NhRzZo1M62Zctttt6m0tFTjx48/4+c1bdpUI0aM0JIlS3yu7dixQ8uWLdNf//pX77mbbrpJ6enpGjBggLZv367Zs2d7r61fv175+fm66aabavx9AQCAfTmMqpOwAQAIYnfccYe+/vprtgC1iTVr1mjw4MHav3+/d1HW6mzfvl1Dhw7Vnj17FBMTU+fPHTlypLp06aJHHnmkzs8AAAD2wcgNAEBQ++c//6lt27bpu+++07/+9S+9/PLLGjt2rNVhNXolJSX64Ycf9Pjjj+vmm2+uUWFDkncE0alrztRWaWmpOnfurPvvv7/OzwAAAPbCyA0AQFC75ZZb9Mknn+jEiRM6//zzdd999+muu+6yOqxGb9GiRbrtttvUtWtXvfPOO2rVqpXVIQEAgABGcQMAAAAAAAQ0pqUAAAAAAICARnEDAAAAAAAENIobAAAAAAAgoFHcAAAAAAAAAY3iBgAAAAAACGgUNwAAAAAAQECjuAEAAAAAAAIaxQ0AAAAAABDQKG4AAAAAAICA9v8BbNiHIGGsfEoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1100x1100 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 5000x5000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8), dpi=500)\n",
    "\n",
    "sns.jointplot(\n",
    "    data=foldseek_result,\n",
    "    x=\"pident\", # Strucutural alignment identity (%) \n",
    "    y=\"lddt\",\n",
    "    color=\"darkcyan\",\n",
    "    height=11,\n",
    "    ratio=4,\n",
    "    marginal_ticks=True\n",
    ")\n",
    "\n",
    "\n",
    "plt.xlim(-0.5,100.5)\n",
    "plt.ylim(0,1)\n",
    "plt.xlabel(\"Strucutural alignment identity (%)\")\n",
    "plt.ylabel(\"LDDT\")\n",
    "plt.axvline(x=25, color=\"black\", linestyle=\":\")\n",
    "plt.axvline(x=50, color=\"black\", linestyle=\":\")\n",
    "plt.axvline(x=75, color=\"black\", linestyle=\":\")\n",
    "plt.axhline(y=0.5, color=\"black\", linestyle=\":\")\n",
    "plt.figure(figsize=(10, 10), dpi=500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18bc813a",
   "metadata": {
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     "status": "completed"
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    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;\n",
    "\n",
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a99db25",
   "metadata": {
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     "start_time": "2024-11-16T03:41:11.571837",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Parse pairwise alignment result (water and needle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fa05a6a5",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def parse_needle_water_result(file_path: str):\n",
    "    with open(file_path, \"r\", encoding=\"utf-8\") as file:\n",
    "        data = file.readlines()\n",
    "        \n",
    "    result = {\n",
    "        \"UniProt Accession\": None,\n",
    "        \"foldseek hit\": None,\n",
    "        \"Length\": None,\n",
    "        \"Identity\": None,\n",
    "        \"Identity_percent\": None,\n",
    "        \"Similarity\": None,\n",
    "        \"Similarity_percent\": None,\n",
    "        \"Gaps\": None,\n",
    "        \"Gaps_percent\": None,\n",
    "        \"Score\": None\n",
    "    }\n",
    "    \n",
    "    for line in data:\n",
    "        if line.startswith('# 1:'):\n",
    "            result['UniProt Accession'] = line.split(':')[1].strip()\n",
    "        elif line.startswith('# 2:'):\n",
    "            result['foldseek hit'] = line.split(':')[1].strip()\n",
    "        elif line.startswith('# Length:'):\n",
    "            result['Length'] = int(line.split()[2])\n",
    "        elif line.startswith('# Identity:'):\n",
    "            result['Identity'] = line.split()[2]\n",
    "            result['Identity_percent'] = float(re.search(r'\\((.*?)%\\)', line).group(1))\n",
    "        elif line.startswith('# Similarity:'):\n",
    "            result['Similarity'] = line.split()[2]\n",
    "            result['Similarity_percent'] = float(re.search(r'\\((.*?)%\\)', line).group(1))\n",
    "        elif line.startswith('# Gaps:'):\n",
    "            result['Gaps'] = line.split()[2]\n",
    "            result['Gaps_percent'] = float(re.search(r'\\((.*?)%\\)', line).group(1))\n",
    "        elif line.startswith('# Score:'):\n",
    "            result['Score'] = float(line.split()[2])\n",
    "            \n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c33bdda0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.589740Z",
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     "shell.execute_reply": "2024-11-16T03:41:11.889482Z"
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     "status": "completed"
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   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<small>shape: (3_184, 10)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>UniProt Accession</th><th>foldseek hit</th><th>Length</th><th>Identity</th><th>Identity_percent</th><th>Similarity</th><th>Similarity_percent</th><th>Gaps</th><th>Gaps_percent</th><th>Score</th></tr><tr><td>str</td><td>str</td><td>i64</td><td>str</td><td>f64</td><td>str</td><td>f64</td><td>str</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A4D1Z8&quot;</td><td>149</td><td>&quot;36/149&quot;</td><td>24.2</td><td>&quot;46/149&quot;</td><td>30.9</td><td>&quot;50/149&quot;</td><td>33.6</td><td>37.0</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A8MQ27&quot;</td><td>167</td><td>&quot;29/167&quot;</td><td>17.4</td><td>&quot;46/167&quot;</td><td>27.5</td><td>&quot;54/167&quot;</td><td>32.3</td><td>50.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A8MUM7&quot;</td><td>116</td><td>&quot;26/116&quot;</td><td>22.4</td><td>&quot;50/116&quot;</td><td>43.1</td><td>&quot;24/116&quot;</td><td>20.7</td><td>46.0</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;O00182&quot;</td><td>30</td><td>&quot;10/30&quot;</td><td>33.3</td><td>&quot;13/30&quot;</td><td>43.3</td><td>&quot;5/30&quot;</td><td>16.7</td><td>37.0</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;O00214&quot;</td><td>87</td><td>&quot;20/87&quot;</td><td>23.0</td><td>&quot;30/87&quot;</td><td>34.5</td><td>&quot;17/87&quot;</td><td>19.5</td><td>42.0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UBU9&quot;</td><td>81</td><td>&quot;24/81&quot;</td><td>29.6</td><td>&quot;33/81&quot;</td><td>40.7</td><td>&quot;22/81&quot;</td><td>27.2</td><td>53.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UN86&quot;</td><td>306</td><td>&quot;68/306&quot;</td><td>22.2</td><td>&quot;115/306&quot;</td><td>37.6</td><td>&quot;88/306&quot;</td><td>28.8</td><td>143.0</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UNP9&quot;</td><td>85</td><td>&quot;35/85&quot;</td><td>41.2</td><td>&quot;48/85&quot;</td><td>56.5</td><td>&quot;10/85&quot;</td><td>11.8</td><td>129.0</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UPS6&quot;</td><td>111</td><td>&quot;31/111&quot;</td><td>27.9</td><td>&quot;49/111&quot;</td><td>44.1</td><td>&quot;6/111&quot;</td><td>5.4</td><td>98.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9Y4C8&quot;</td><td>327</td><td>&quot;91/327&quot;</td><td>27.8</td><td>&quot;141/327&quot;</td><td>43.1</td><td>&quot;43/327&quot;</td><td>13.1</td><td>223.0</td></tr></tbody></table></div>"
      ],
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       "shape: (3_184, 10)\n",
       "┌───────────────┬──────────┬────────┬──────────┬───┬───────────────┬────────┬──────────────┬───────┐\n",
       "│ UniProt       ┆ foldseek ┆ Length ┆ Identity ┆ … ┆ Similarity_pe ┆ Gaps   ┆ Gaps_percent ┆ Score │\n",
       "│ Accession     ┆ hit      ┆ ---    ┆ ---      ┆   ┆ rcent         ┆ ---    ┆ ---          ┆ ---   │\n",
       "│ ---           ┆ ---      ┆ i64    ┆ str      ┆   ┆ ---           ┆ str    ┆ f64          ┆ f64   │\n",
       "│ str           ┆ str      ┆        ┆          ┆   ┆ f64           ┆        ┆              ┆       │\n",
       "╞═══════════════╪══════════╪════════╪══════════╪═══╪═══════════════╪════════╪══════════════╪═══════╡\n",
       "│ A0A1D6E0F4    ┆ A4D1Z8   ┆ 149    ┆ 36/149   ┆ … ┆ 30.9          ┆ 50/149 ┆ 33.6         ┆ 37.0  │\n",
       "│ A0A1D6E0F4    ┆ A8MQ27   ┆ 167    ┆ 29/167   ┆ … ┆ 27.5          ┆ 54/167 ┆ 32.3         ┆ 50.5  │\n",
       "│ A0A1D6E0F4    ┆ A8MUM7   ┆ 116    ┆ 26/116   ┆ … ┆ 43.1          ┆ 24/116 ┆ 20.7         ┆ 46.0  │\n",
       "│ A0A1D6E0F4    ┆ O00182   ┆ 30     ┆ 10/30    ┆ … ┆ 43.3          ┆ 5/30   ┆ 16.7         ┆ 37.0  │\n",
       "│ A0A1D6E0F4    ┆ O00214   ┆ 87     ┆ 20/87    ┆ … ┆ 34.5          ┆ 17/87  ┆ 19.5         ┆ 42.0  │\n",
       "│ …             ┆ …        ┆ …      ┆ …        ┆ … ┆ …             ┆ …      ┆ …            ┆ …     │\n",
       "│ Q41834        ┆ Q9UBU9   ┆ 81     ┆ 24/81    ┆ … ┆ 40.7          ┆ 22/81  ┆ 27.2         ┆ 53.5  │\n",
       "│ Q41834        ┆ Q9UN86   ┆ 306    ┆ 68/306   ┆ … ┆ 37.6          ┆ 88/306 ┆ 28.8         ┆ 143.0 │\n",
       "│ Q41834        ┆ Q9UNP9   ┆ 85     ┆ 35/85    ┆ … ┆ 56.5          ┆ 10/85  ┆ 11.8         ┆ 129.0 │\n",
       "│ Q41834        ┆ Q9UPS6   ┆ 111    ┆ 31/111   ┆ … ┆ 44.1          ┆ 6/111  ┆ 5.4          ┆ 98.5  │\n",
       "│ Q41834        ┆ Q9Y4C8   ┆ 327    ┆ 91/327   ┆ … ┆ 43.1          ┆ 43/327 ┆ 13.1         ┆ 223.0 │\n",
       "└───────────────┴──────────┴────────┴──────────┴───┴───────────────┴────────┴──────────────┴───────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "</style>\n",
       "<small>shape: (3_184, 10)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>UniProt Accession</th><th>foldseek hit</th><th>Length</th><th>Identity</th><th>Identity_percent</th><th>Similarity</th><th>Similarity_percent</th><th>Gaps</th><th>Gaps_percent</th><th>Score</th></tr><tr><td>str</td><td>str</td><td>i64</td><td>str</td><td>f64</td><td>str</td><td>f64</td><td>str</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A4D1Z8&quot;</td><td>337</td><td>&quot;36/337&quot;</td><td>10.7</td><td>&quot;51/337&quot;</td><td>15.1</td><td>&quot;233/337&quot;</td><td>69.1</td><td>23.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A8MQ27&quot;</td><td>649</td><td>&quot;55/649&quot;</td><td>8.5</td><td>&quot;84/649&quot;</td><td>12.9</td><td>&quot;446/649&quot;</td><td>68.7</td><td>25.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A8MUM7&quot;</td><td>303</td><td>&quot;34/303&quot;</td><td>11.2</td><td>&quot;62/303&quot;</td><td>20.5</td><td>&quot;167/303&quot;</td><td>55.1</td><td>35.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;O00182&quot;</td><td>550</td><td>&quot;32/550&quot;</td><td>5.8</td><td>&quot;49/550&quot;</td><td>8.9</td><td>&quot;448/550&quot;</td><td>81.5</td><td>16.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;O00214&quot;</td><td>393</td><td>&quot;51/393&quot;</td><td>13.0</td><td>&quot;92/393&quot;</td><td>23.4</td><td>&quot;172/393&quot;</td><td>43.8</td><td>21.5</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UBU9&quot;</td><td>855</td><td>&quot;25/855&quot;</td><td>2.9</td><td>&quot;36/855&quot;</td><td>4.2</td><td>&quot;788/855&quot;</td><td>92.2</td><td>47.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UN86&quot;</td><td>510</td><td>&quot;78/510&quot;</td><td>15.3</td><td>&quot;133/510&quot;</td><td>26.1</td><td>&quot;235/510&quot;</td><td>46.1</td><td>130.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UNP9&quot;</td><td>518</td><td>&quot;35/518&quot;</td><td>6.8</td><td>&quot;50/518&quot;</td><td>9.7</td><td>&quot;432/518&quot;</td><td>83.4</td><td>117.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UPS6&quot;</td><td>2045</td><td>&quot;67/2045&quot;</td><td>3.3</td><td>&quot;103/2045&quot;</td><td>5.0</td><td>&quot;1821/2045&quot;</td><td>89.0</td><td>58.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9Y4C8&quot;</td><td>971</td><td>&quot;93/971&quot;</td><td>9.6</td><td>&quot;144/971&quot;</td><td>14.8</td><td>&quot;679/971&quot;</td><td>69.9</td><td>213.0</td></tr></tbody></table></div>"
      ],
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       "shape: (3_184, 10)\n",
       "┌─────────────┬─────────────┬────────┬──────────┬───┬─────────────┬───────────┬────────────┬───────┐\n",
       "│ UniProt     ┆ foldseek    ┆ Length ┆ Identity ┆ … ┆ Similarity_ ┆ Gaps      ┆ Gaps_perce ┆ Score │\n",
       "│ Accession   ┆ hit         ┆ ---    ┆ ---      ┆   ┆ percent     ┆ ---       ┆ nt         ┆ ---   │\n",
       "│ ---         ┆ ---         ┆ i64    ┆ str      ┆   ┆ ---         ┆ str       ┆ ---        ┆ f64   │\n",
       "│ str         ┆ str         ┆        ┆          ┆   ┆ f64         ┆           ┆ f64        ┆       │\n",
       "╞═════════════╪═════════════╪════════╪══════════╪═══╪═════════════╪═══════════╪════════════╪═══════╡\n",
       "│ A0A1D6E0F4  ┆ A4D1Z8      ┆ 337    ┆ 36/337   ┆ … ┆ 15.1        ┆ 233/337   ┆ 69.1       ┆ 23.5  │\n",
       "│ A0A1D6E0F4  ┆ A8MQ27      ┆ 649    ┆ 55/649   ┆ … ┆ 12.9        ┆ 446/649   ┆ 68.7       ┆ 25.5  │\n",
       "│ A0A1D6E0F4  ┆ A8MUM7      ┆ 303    ┆ 34/303   ┆ … ┆ 20.5        ┆ 167/303   ┆ 55.1       ┆ 35.5  │\n",
       "│ A0A1D6E0F4  ┆ O00182      ┆ 550    ┆ 32/550   ┆ … ┆ 8.9         ┆ 448/550   ┆ 81.5       ┆ 16.5  │\n",
       "│ A0A1D6E0F4  ┆ O00214      ┆ 393    ┆ 51/393   ┆ … ┆ 23.4        ┆ 172/393   ┆ 43.8       ┆ 21.5  │\n",
       "│ …           ┆ …           ┆ …      ┆ …        ┆ … ┆ …           ┆ …         ┆ …          ┆ …     │\n",
       "│ Q41834      ┆ Q9UBU9      ┆ 855    ┆ 25/855   ┆ … ┆ 4.2         ┆ 788/855   ┆ 92.2       ┆ 47.5  │\n",
       "│ Q41834      ┆ Q9UN86      ┆ 510    ┆ 78/510   ┆ … ┆ 26.1        ┆ 235/510   ┆ 46.1       ┆ 130.5 │\n",
       "│ Q41834      ┆ Q9UNP9      ┆ 518    ┆ 35/518   ┆ … ┆ 9.7         ┆ 432/518   ┆ 83.4       ┆ 117.5 │\n",
       "│ Q41834      ┆ Q9UPS6      ┆ 2045   ┆ 67/2045  ┆ … ┆ 5.0         ┆ 1821/2045 ┆ 89.0       ┆ 58.5  │\n",
       "│ Q41834      ┆ Q9Y4C8      ┆ 971    ┆ 93/971   ┆ … ┆ 14.8        ┆ 679/971   ┆ 69.9       ┆ 213.0 │\n",
       "└─────────────┴─────────────┴────────┴──────────┴───┴─────────────┴───────────┴────────────┴───────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "water_result_dir = pathlib.Path(water_result_dir_path)\n",
    "needle_result_dir = pathlib.Path(needle_result_dir_path)\n",
    "\n",
    "# Initialize empty lists to store DataFrames\n",
    "water_dfs = []\n",
    "needle_dfs = []\n",
    "\n",
    "# Collect all water results\n",
    "for result_file in water_result_dir.glob(\"*_align.water\"):\n",
    "    parsed_data = parse_needle_water_result(result_file)\n",
    "    water_dfs.append(pl.DataFrame([parsed_data]))\n",
    "\n",
    "# Collect all needle results    \n",
    "for result_file in needle_result_dir.glob(\"*_align.needle\"):\n",
    "    parsed_data = parse_needle_water_result(result_file)\n",
    "    needle_dfs.append(pl.DataFrame([parsed_data]))\n",
    "\n",
    "# Combine all results and sort only if there are results\n",
    "water_result = (pl.concat(water_dfs, how='vertical')\n",
    "                .sort([\"UniProt Accession\", \"foldseek hit\"]) \n",
    "                if water_dfs else pl.DataFrame())\n",
    "\n",
    "needle_result = (pl.concat(needle_dfs, how='vertical')\n",
    "                 .sort([\"UniProt Accession\", \"foldseek hit\"])\n",
    "                 if needle_dfs else pl.DataFrame())\n",
    "\n",
    "display(water_result)\n",
    "display(needle_result)"
   ]
  },
  {
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   "execution_count": 9,
   "id": "dd95ba04",
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       "}\n",
       "</style>\n",
       "<small>shape: (3_184, 16)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>UniProt Accession</th><th>foldseek hit</th><th>Length_water</th><th>Length_needle</th><th>Identity_water</th><th>Identity_needle</th><th>Identity_percent_water</th><th>Identity_percent_needle</th><th>Similarity_percent_water</th><th>Similarity_percent_needle</th><th>Gaps_water</th><th>Gaps_needle</th><th>Gaps_percent_water</th><th>Gaps_percent_needle</th><th>Score_water</th><th>Score_needle</th></tr><tr><td>str</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A4D1Z8&quot;</td><td>149</td><td>337</td><td>&quot;36/149&quot;</td><td>&quot;36/337&quot;</td><td>24.2</td><td>10.7</td><td>30.9</td><td>15.1</td><td>&quot;50/149&quot;</td><td>&quot;233/337&quot;</td><td>33.6</td><td>69.1</td><td>37.0</td><td>23.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A8MQ27&quot;</td><td>167</td><td>649</td><td>&quot;29/167&quot;</td><td>&quot;55/649&quot;</td><td>17.4</td><td>8.5</td><td>27.5</td><td>12.9</td><td>&quot;54/167&quot;</td><td>&quot;446/649&quot;</td><td>32.3</td><td>68.7</td><td>50.5</td><td>25.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;A8MUM7&quot;</td><td>116</td><td>303</td><td>&quot;26/116&quot;</td><td>&quot;34/303&quot;</td><td>22.4</td><td>11.2</td><td>43.1</td><td>20.5</td><td>&quot;24/116&quot;</td><td>&quot;167/303&quot;</td><td>20.7</td><td>55.1</td><td>46.0</td><td>35.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;O00182&quot;</td><td>30</td><td>550</td><td>&quot;10/30&quot;</td><td>&quot;32/550&quot;</td><td>33.3</td><td>5.8</td><td>43.3</td><td>8.9</td><td>&quot;5/30&quot;</td><td>&quot;448/550&quot;</td><td>16.7</td><td>81.5</td><td>37.0</td><td>16.5</td></tr><tr><td>&quot;A0A1D6E0F4&quot;</td><td>&quot;O00214&quot;</td><td>87</td><td>393</td><td>&quot;20/87&quot;</td><td>&quot;51/393&quot;</td><td>23.0</td><td>13.0</td><td>34.5</td><td>23.4</td><td>&quot;17/87&quot;</td><td>&quot;172/393&quot;</td><td>19.5</td><td>43.8</td><td>42.0</td><td>21.5</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UBU9&quot;</td><td>81</td><td>855</td><td>&quot;24/81&quot;</td><td>&quot;25/855&quot;</td><td>29.6</td><td>2.9</td><td>40.7</td><td>4.2</td><td>&quot;22/81&quot;</td><td>&quot;788/855&quot;</td><td>27.2</td><td>92.2</td><td>53.5</td><td>47.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UN86&quot;</td><td>306</td><td>510</td><td>&quot;68/306&quot;</td><td>&quot;78/510&quot;</td><td>22.2</td><td>15.3</td><td>37.6</td><td>26.1</td><td>&quot;88/306&quot;</td><td>&quot;235/510&quot;</td><td>28.8</td><td>46.1</td><td>143.0</td><td>130.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UNP9&quot;</td><td>85</td><td>518</td><td>&quot;35/85&quot;</td><td>&quot;35/518&quot;</td><td>41.2</td><td>6.8</td><td>56.5</td><td>9.7</td><td>&quot;10/85&quot;</td><td>&quot;432/518&quot;</td><td>11.8</td><td>83.4</td><td>129.0</td><td>117.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9UPS6&quot;</td><td>111</td><td>2045</td><td>&quot;31/111&quot;</td><td>&quot;67/2045&quot;</td><td>27.9</td><td>3.3</td><td>44.1</td><td>5.0</td><td>&quot;6/111&quot;</td><td>&quot;1821/2045&quot;</td><td>5.4</td><td>89.0</td><td>98.5</td><td>58.5</td></tr><tr><td>&quot;Q41834&quot;</td><td>&quot;Q9Y4C8&quot;</td><td>327</td><td>971</td><td>&quot;91/327&quot;</td><td>&quot;93/971&quot;</td><td>27.8</td><td>9.6</td><td>43.1</td><td>14.8</td><td>&quot;43/327&quot;</td><td>&quot;679/971&quot;</td><td>13.1</td><td>69.9</td><td>223.0</td><td>213.0</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3_184, 16)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ UniProt   ┆ foldseek  ┆ Length_wa ┆ Length_ne ┆ … ┆ Gaps_perc ┆ Gaps_perc ┆ Score_wat ┆ Score_ne │\n",
       "│ Accession ┆ hit       ┆ ter       ┆ edle      ┆   ┆ ent_water ┆ ent_needl ┆ er        ┆ edle     │\n",
       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---      │\n",
       "│ str       ┆ str       ┆ i64       ┆ i64       ┆   ┆ f64       ┆ ---       ┆ f64       ┆ f64      │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ f64       ┆           ┆          │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ A0A1D6E0F ┆ A4D1Z8    ┆ 149       ┆ 337       ┆ … ┆ 33.6      ┆ 69.1      ┆ 37.0      ┆ 23.5     │\n",
       "│ 4         ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ A0A1D6E0F ┆ A8MQ27    ┆ 167       ┆ 649       ┆ … ┆ 32.3      ┆ 68.7      ┆ 50.5      ┆ 25.5     │\n",
       "│ 4         ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ A0A1D6E0F ┆ A8MUM7    ┆ 116       ┆ 303       ┆ … ┆ 20.7      ┆ 55.1      ┆ 46.0      ┆ 35.5     │\n",
       "│ 4         ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ A0A1D6E0F ┆ O00182    ┆ 30        ┆ 550       ┆ … ┆ 16.7      ┆ 81.5      ┆ 37.0      ┆ 16.5     │\n",
       "│ 4         ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ A0A1D6E0F ┆ O00214    ┆ 87        ┆ 393       ┆ … ┆ 19.5      ┆ 43.8      ┆ 42.0      ┆ 21.5     │\n",
       "│ 4         ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ …         ┆ …         ┆ …         ┆ …         ┆ … ┆ …         ┆ …         ┆ …         ┆ …        │\n",
       "│ Q41834    ┆ Q9UBU9    ┆ 81        ┆ 855       ┆ … ┆ 27.2      ┆ 92.2      ┆ 53.5      ┆ 47.5     │\n",
       "│ Q41834    ┆ Q9UN86    ┆ 306       ┆ 510       ┆ … ┆ 28.8      ┆ 46.1      ┆ 143.0     ┆ 130.5    │\n",
       "│ Q41834    ┆ Q9UNP9    ┆ 85        ┆ 518       ┆ … ┆ 11.8      ┆ 83.4      ┆ 129.0     ┆ 117.5    │\n",
       "│ Q41834    ┆ Q9UPS6    ┆ 111       ┆ 2045      ┆ … ┆ 5.4       ┆ 89.0      ┆ 98.5      ┆ 58.5     │\n",
       "│ Q41834    ┆ Q9Y4C8    ┆ 327       ┆ 971       ┆ … ┆ 13.1      ┆ 69.9      ┆ 223.0     ┆ 213.0    │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alignment_result = water_result.join(\n",
    "    needle_result,\n",
    "    on=[\"UniProt Accession\", \"foldseek hit\"],\n",
    "    how=\"inner\",\n",
    "    coalesce=True,\n",
    "    suffix=\"_needle\"\n",
    ").rename(\n",
    "    {\n",
    "        \"Length\": \"Length_water\",\n",
    "        \"Identity\": \"Identity_water\",\n",
    "        \"Identity_percent\": \"Identity_percent_water\",\n",
    "        \"Similarity\": \"Similarity_water\",\n",
    "        \"Similarity_percent\": \"Similarity_percent_water\",\n",
    "        \"Gaps\": \"Gaps_water\",\n",
    "        \"Gaps_percent\": \"Gaps_percent_water\",\n",
    "        \"Score\": \"Score_water\"\n",
    "    }\n",
    ").select(\n",
    "    [\n",
    "        \"UniProt Accession\",\n",
    "        \"foldseek hit\",\n",
    "        \"Length_water\",\n",
    "        \"Length_needle\",\n",
    "        \"Identity_water\",\n",
    "        \"Identity_needle\",\n",
    "        \"Identity_percent_water\",\n",
    "        \"Identity_percent_needle\",\n",
    "        \"Similarity_percent_water\",\n",
    "        \"Similarity_percent_needle\",\n",
    "        \"Gaps_water\",\n",
    "        \"Gaps_needle\",\n",
    "        \"Gaps_percent_water\",\n",
    "        \"Gaps_percent_needle\",\n",
    "        \"Score_water\",\n",
    "        \"Score_needle\"\n",
    "    ]\n",
    ")\n",
    "\n",
    "display(alignment_result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "308a18c9",
   "metadata": {
    "papermill": {
     "duration": 0.002813,
     "end_time": "2024-11-16T03:41:11.909351",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.906538",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "\n",
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6578ad82",
   "metadata": {
    "papermill": {
     "duration": 0.00364,
     "end_time": "2024-11-16T03:41:11.915821",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.912181",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Integrate foldseek result and pairwise alignment result\n",
    "\n",
    "- This time, **exclude the ones that are null in pairwise alignment result, which means the current UniProt entry is obsolete**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d0220738",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.922805Z",
     "iopub.status.busy": "2024-11-16T03:41:11.922685Z",
     "iopub.status.idle": "2024-11-16T03:41:11.945338Z",
     "shell.execute_reply": "2024-11-16T03:41:11.945044Z"
    },
    "papermill": {
     "duration": 0.026826,
     "end_time": "2024-11-16T03:41:11.945797",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.918971",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (3_184, 44)\n",
      "┌─────────────┬────────────┬──────┬────────┬───┬────────────┬────────────┬────────────┬────────────┐\n",
      "│ UniProt     ┆ foldseek   ┆ From ┆ evalue ┆ … ┆ Gaps_perce ┆ Gaps_perce ┆ Score_wate ┆ Score_need │\n",
      "│ Accession   ┆ hit        ┆ ---  ┆ ---    ┆   ┆ nt_water   ┆ nt_needle  ┆ r          ┆ le         │\n",
      "│ ---         ┆ ---        ┆ u32  ┆ u32    ┆   ┆ ---        ┆ ---        ┆ ---        ┆ ---        │\n",
      "│ str         ┆ str        ┆      ┆        ┆   ┆ u32        ┆ u32        ┆ u32        ┆ u32        │\n",
      "╞═════════════╪════════════╪══════╪════════╪═══╪════════════╪════════════╪════════════╪════════════╡\n",
      "│ B4FI43      ┆ Q16572     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ B4FI43      ┆ Q8N370     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ B4FI43      ┆ Q8TDB8     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ K7VEJ7      ┆ P19623     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ A0A1D6IP15  ┆ Q562R1     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ …           ┆ …          ┆ …    ┆ …      ┆ … ┆ …          ┆ …          ┆ …          ┆ …          │\n",
      "│ A0A1D6M812  ┆ Q13546     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ C0PFY1      ┆ P08686     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ B6T3P2      ┆ O75940     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ A0A1D6M810  ┆ Q9NY57     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "│ A0A804QXE3  ┆ Q8IYT8     ┆ 1    ┆ 1      ┆ … ┆ 1          ┆ 1          ┆ 1          ┆ 1          │\n",
      "└─────────────┴────────────┴──────┴────────┴───┴────────────┴────────────┴────────────┴────────────┘\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (5, 44)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>UniProt Accession</th><th>foldseek hit</th><th>evalue</th><th>prob</th><th>gapopen</th><th>pident</th><th>fident</th><th>nident</th><th>qstart</th><th>qend</th><th>qlen</th><th>tstart</th><th>tend</th><th>tlen</th><th>alnlen</th><th>qcov</th><th>tcov</th><th>lddt</th><th>qtmscore</th><th>ttmscore</th><th>alntmscore</th><th>rmsd</th><th>taxid</th><th>taxname</th><th>taxlineage</th><th>qaln</th><th>taln</th><th>mismatch</th><th>lddtfull</th><th>Length_water</th><th>Length_needle</th><th>Identity_water</th><th>Identity_needle</th><th>Identity_percent_water</th><th>Identity_percent_needle</th><th>Similarity_percent_water</th><th>Similarity_percent_needle</th><th>Gaps_water</th><th>Gaps_needle</th><th>Gaps_percent_water</th><th>Gaps_percent_needle</th><th>Score_water</th><th>Score_needle</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q16572&quot;</td><td>8.8410e-7</td><td>1.0</td><td>20</td><td>12.5</td><td>0.125</td><td>64</td><td>2</td><td>433</td><td>440</td><td>11</td><td>479</td><td>532</td><td>511</td><td>0.982</td><td>0.882</td><td>0.5405</td><td>0.6082</td><td>0.5233</td><td>0.5233</td><td>6.527</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;EEEKQVMEGAATAA------RR---RLVIG…</td><td>&quot;RAAATKLSEAVGAALQEPRRQRRLVLVIVC…</td><td>326</td><td>&quot;0.900,0.909,0.917,0.893,0.794,…</td><td>395</td><td>614</td><td>&quot;91/395&quot;</td><td>&quot;106/614&quot;</td><td>23.0</td><td>17.3</td><td>36.5</td><td>27.5</td><td>&quot;105/395&quot;</td><td>&quot;256/614&quot;</td><td>26.6</td><td>41.7</td><td>90.5</td><td>70.5</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q8N370&quot;</td><td>0.007733</td><td>1.0</td><td>22</td><td>12.0</td><td>0.12</td><td>66</td><td>12</td><td>425</td><td>440</td><td>6</td><td>537</td><td>569</td><td>554</td><td>0.941</td><td>0.935</td><td>0.4261</td><td>0.5111</td><td>0.4202</td><td>0.4202</td><td>10.2</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;ATAARRRLVIGVGFWVQGF----RLFPWLG…</td><td>&quot;ATAHRRRWWMACTAVLENLLFSAVLLGWGS…</td><td>326</td><td>&quot;0.442,0.340,0.378,0.425,0.299,…</td><td>453</td><td>697</td><td>&quot;102/453&quot;</td><td>&quot;106/697&quot;</td><td>22.5</td><td>15.2</td><td>34.4</td><td>23.4</td><td>&quot;150/453&quot;</td><td>&quot;385/697&quot;</td><td>33.1</td><td>55.2</td><td>80.0</td><td>73.0</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;B4FI43&quot;</td><td>&quot;Q8TDB8&quot;</td><td>0.000032</td><td>1.0</td><td>24</td><td>11.5</td><td>0.115</td><td>56</td><td>15</td><td>427</td><td>440</td><td>35</td><td>471</td><td>520</td><td>485</td><td>0.939</td><td>0.84</td><td>0.4079</td><td>0.5276</td><td>0.4619</td><td>0.4619</td><td>8.2</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;ARRRLVIGVGFWVQGFRLF----PWLGVNF…</td><td>&quot;IFAITVATIGSFQFGYNTGVINAPETIIKE…</td><td>309</td><td>&quot;0.400,0.478,0.500,0.466,0.517,…</td><td>249</td><td>766</td><td>&quot;53/249&quot;</td><td>&quot;57/766&quot;</td><td>21.3</td><td>7.4</td><td>38.2</td><td>12.3</td><td>&quot;52/249&quot;</td><td>&quot;572/766&quot;</td><td>20.9</td><td>74.7</td><td>70.5</td><td>60.0</td></tr><tr><td>&quot;Zm00001eb396280&quot;</td><td>&quot;K7VEJ7&quot;</td><td>&quot;P19623&quot;</td><td>0.0004115</td><td>1.0</td><td>13</td><td>11.3</td><td>0.113</td><td>22</td><td>106</td><td>280</td><td>327</td><td>77</td><td>256</td><td>302</td><td>193</td><td>0.535</td><td>0.596</td><td>0.4597</td><td>0.3897</td><td>0.4175</td><td>0.4175</td><td>4.819</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;IDLSKLEFDLLVRYIPGLAPSRVAFVGSGP…</td><td>&quot;FSYQEMIANLPLCSHP--NPRKVLIIGGGD…</td><td>140</td><td>&quot;0.386,0.424,0.496,0.527,0.543,…</td><td>95</td><td>559</td><td>&quot;18/95&quot;</td><td>&quot;17/559&quot;</td><td>18.9</td><td>3.0</td><td>36.8</td><td>5.2</td><td>&quot;32/95&quot;</td><td>&quot;489/559&quot;</td><td>33.7</td><td>87.5</td><td>32.5</td><td>9.0</td></tr><tr><td>&quot;Zm00001eb331340&quot;</td><td>&quot;A0A1D6IP15&quot;</td><td>&quot;Q562R1&quot;</td><td>4.1610e-49</td><td>1.0</td><td>4</td><td>44.1</td><td>0.441</td><td>169</td><td>5</td><td>386</td><td>389</td><td>7</td><td>375</td><td>376</td><td>383</td><td>0.982</td><td>0.981</td><td>0.8857</td><td>0.9246</td><td>0.9561</td><td>0.9561</td><td>1.504</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;NVVVCDNGTGYVKCGFAGENFPTSVFPCVV…</td><td>&quot;SALVVDNGSGMCKAGFGGDDAPRAVFPSMI…</td><td>199</td><td>&quot;0.468,0.833,0.908,0.932,0.956,…</td><td>383</td><td>392</td><td>&quot;169/383&quot;</td><td>&quot;169/392&quot;</td><td>44.1</td><td>43.1</td><td>64.2</td><td>62.8</td><td>&quot;15/383&quot;</td><td>&quot;19/392&quot;</td><td>3.9</td><td>4.8</td><td>892.5</td><td>884.5</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (5, 44)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ From      ┆ UniProt   ┆ foldseek  ┆ evalue    ┆ … ┆ Gaps_perc ┆ Gaps_perc ┆ Score_wat ┆ Score_ne │\n",
       "│ ---       ┆ Accession ┆ hit       ┆ ---       ┆   ┆ ent_water ┆ ent_needl ┆ er        ┆ edle     │\n",
       "│ str       ┆ ---       ┆ ---       ┆ f64       ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---      │\n",
       "│           ┆ str       ┆ str       ┆           ┆   ┆ f64       ┆ ---       ┆ f64       ┆ f64      │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ f64       ┆           ┆          │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q16572    ┆ 8.8410e-7 ┆ … ┆ 26.6      ┆ 41.7      ┆ 90.5      ┆ 70.5     │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q8N370    ┆ 0.007733  ┆ … ┆ 33.1      ┆ 55.2      ┆ 80.0      ┆ 73.0     │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ B4FI43    ┆ Q8TDB8    ┆ 0.000032  ┆ … ┆ 20.9      ┆ 74.7      ┆ 70.5      ┆ 60.0     │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ K7VEJ7    ┆ P19623    ┆ 0.0004115 ┆ … ┆ 33.7      ┆ 87.5      ┆ 32.5      ┆ 9.0      │\n",
       "│ 396280    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ A0A1D6IP1 ┆ Q562R1    ┆ 4.1610e-4 ┆ … ┆ 3.9       ┆ 4.8       ┆ 892.5     ┆ 884.5    │\n",
       "│ 331340    ┆ 5         ┆           ┆ 9         ┆   ┆           ┆           ┆           ┆          │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "join_foldseek = foldseek_result.join(\n",
    "    alignment_result,\n",
    "    on=[\"UniProt Accession\", \"foldseek hit\"],\n",
    "    how=\"left\",\n",
    "    coalesce=True\n",
    ").filter( # filter out null alignment result (this means current UniProt entry is obsolete)\n",
    "    pl.col(\"Length_water\").is_not_null() & \n",
    "    pl.col(\"Length_needle\").is_not_null()\n",
    ").unique()\n",
    "\n",
    "\n",
    "print(join_foldseek.group_by([\"UniProt Accession\", \"foldseek hit\"], maintain_order=True).n_unique())\n",
    "display(join_foldseek.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd1263f4",
   "metadata": {
    "papermill": {
     "duration": 0.002963,
     "end_time": "2024-11-16T03:41:11.952025",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.949062",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24290a4b",
   "metadata": {
    "papermill": {
     "duration": 0.003111,
     "end_time": "2024-11-16T03:41:11.958211",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.955100",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Create Scatter Plot for all hits (sequence alignment info vs LDDT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2063c467",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:11.964531Z",
     "iopub.status.busy": "2024-11-16T03:41:11.964448Z",
     "iopub.status.idle": "2024-11-16T03:41:12.134816Z",
     "shell.execute_reply": "2024-11-16T03:41:12.134498Z"
    },
    "papermill": {
     "duration": 0.174166,
     "end_time": "2024-11-16T03:41:12.135341",
     "exception": false,
     "start_time": "2024-11-16T03:41:11.961175",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 4000x4000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x1100 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 5000x5000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8), dpi=500)\n",
    "\n",
    "sns.jointplot(\n",
    "    data=join_foldseek,\n",
    "    x=\"Similarity_percent_needle\", # You can also use Identity_percent_water, Similarity_percent_needle, Similarity_percent_water\n",
    "    y=\"lddt\",\n",
    "    color=\"darkcyan\",\n",
    "    height=11,\n",
    "    ratio=4,\n",
    "    marginal_ticks=True\n",
    ")\n",
    "\n",
    "# highlight the region of interest\n",
    "# plt.fill_betweenx(\n",
    "#     y=[0.5, 1],\n",
    "#     x1=-0.5,\n",
    "#     x2=25,\n",
    "#     color=\"red\",\n",
    "#     alpha=0.1\n",
    "# )\n",
    "\n",
    "plt.xlim(-0.5,100.5)\n",
    "plt.ylim(0,1)\n",
    "plt.xlabel(\"global alignment similarity(%)\")\n",
    "plt.ylabel(\"LDDT\")\n",
    "plt.axvline(x=25, color=\"black\", linestyle=\":\")\n",
    "plt.axvline(x=50, color=\"black\", linestyle=\":\")\n",
    "plt.axvline(x=75, color=\"black\", linestyle=\":\")\n",
    "plt.axhline(y=0.5, color=\"black\", linestyle=\":\")\n",
    "plt.figure(figsize=(10, 10), dpi=500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cad3c2a5",
   "metadata": {
    "papermill": {
     "duration": 0.003849,
     "end_time": "2024-11-16T03:41:12.143349",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.139500",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;\n",
    "\n",
    "&nbsp;\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fd708e9",
   "metadata": {
    "papermill": {
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     "exception": false,
     "start_time": "2024-11-16T03:41:12.147185",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Caution:\n",
    "- The filtering steps that are executed below can be changed freely."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab7c060a",
   "metadata": {
    "papermill": {
     "duration": 0.00391,
     "end_time": "2024-11-16T03:41:12.158834",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.154924",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cc835cd",
   "metadata": {
    "papermill": {
     "duration": 0.003755,
     "end_time": "2024-11-16T03:41:12.166389",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.162634",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Filtering Condition1\n",
    "\n",
    "- Select the ones that have foldseek hit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0e15b197",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.174433Z",
     "iopub.status.busy": "2024-11-16T03:41:12.174321Z",
     "iopub.status.idle": "2024-11-16T03:41:12.182281Z",
     "shell.execute_reply": "2024-11-16T03:41:12.181975Z"
    },
    "papermill": {
     "duration": 0.012515,
     "end_time": "2024-11-16T03:41:12.182679",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.170164",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (100, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>target hit count (gene level vs uniprot accession)</th><th>foldseek no hit</th></tr><tr><td>str</td><td>u32</td><td>bool</td></tr></thead><tbody><tr><td>&quot;Zm00001eb292530&quot;</td><td>781</td><td>false</td></tr><tr><td>&quot;Zm00001eb360640&quot;</td><td>365</td><td>false</td></tr><tr><td>&quot;Zm00001eb184670&quot;</td><td>182</td><td>false</td></tr><tr><td>&quot;Zm00001eb111740&quot;</td><td>158</td><td>false</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>132</td><td>false</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb231650&quot;</td><td>0</td><td>true</td></tr><tr><td>&quot;Zm00001eb127880&quot;</td><td>0</td><td>true</td></tr><tr><td>&quot;Zm00001eb102620&quot;</td><td>0</td><td>true</td></tr><tr><td>&quot;Zm00001eb096630&quot;</td><td>0</td><td>true</td></tr><tr><td>&quot;Zm00001eb265390&quot;</td><td>0</td><td>true</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (100, 3)\n",
       "┌─────────────────┬─────────────────────────────────┬─────────────────┐\n",
       "│ From            ┆ target hit count (gene level v… ┆ foldseek no hit │\n",
       "│ ---             ┆ ---                             ┆ ---             │\n",
       "│ str             ┆ u32                             ┆ bool            │\n",
       "╞═════════════════╪═════════════════════════════════╪═════════════════╡\n",
       "│ Zm00001eb292530 ┆ 781                             ┆ false           │\n",
       "│ Zm00001eb360640 ┆ 365                             ┆ false           │\n",
       "│ Zm00001eb184670 ┆ 182                             ┆ false           │\n",
       "│ Zm00001eb111740 ┆ 158                             ┆ false           │\n",
       "│ Zm00001eb287130 ┆ 132                             ┆ false           │\n",
       "│ …               ┆ …                               ┆ …               │\n",
       "│ Zm00001eb231650 ┆ 0                               ┆ true            │\n",
       "│ Zm00001eb127880 ┆ 0                               ┆ true            │\n",
       "│ Zm00001eb102620 ┆ 0                               ┆ true            │\n",
       "│ Zm00001eb096630 ┆ 0                               ┆ true            │\n",
       "│ Zm00001eb265390 ┆ 0                               ┆ true            │\n",
       "└─────────────────┴─────────────────────────────────┴─────────────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_gene_list = pl.read_csv(\n",
    "    query_gene_list_tsv_path,\n",
    "    separator='\\t'\n",
    ").select(\n",
    "    \"From\"\n",
    ").unique()\n",
    "\n",
    "hit_count = all_gene_list.join(\n",
    "    join_foldseek,\n",
    "    on=\"From\",\n",
    "    how=\"left\",\n",
    "    coalesce=True\n",
    ").group_by(\"From\", maintain_order=True).agg(\n",
    "    (pl.col(\"foldseek hit\").count().alias(\"target hit count (gene level vs uniprot accession)\")),\n",
    "    (pl.col(\"foldseek hit\").is_null().all().alias(\"foldseek no hit\"))\n",
    ").sort(\n",
    "    [\"target hit count (gene level vs uniprot accession)\"], descending=True\n",
    ")\n",
    "\n",
    "display(hit_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dbe6e9a",
   "metadata": {
    "papermill": {
     "duration": 0.003879,
     "end_time": "2024-11-16T03:41:12.190601",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.186722",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Filter out the ones that have no foldseek hit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e6c52c3b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.198629Z",
     "iopub.status.busy": "2024-11-16T03:41:12.198547Z",
     "iopub.status.idle": "2024-11-16T03:41:12.203376Z",
     "shell.execute_reply": "2024-11-16T03:41:12.203135Z"
    },
    "papermill": {
     "duration": 0.009299,
     "end_time": "2024-11-16T03:41:12.203771",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.194472",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (37, 4)\n",
      "┌─────────────────┬─────────────────────────────────┬─────────────────┬───────────────────┐\n",
      "│ From            ┆ target hit count (gene level v… ┆ foldseek no hit ┆ UniProt Accession │\n",
      "│ ---             ┆ ---                             ┆ ---             ┆ ---               │\n",
      "│ str             ┆ u32                             ┆ u32             ┆ u32               │\n",
      "╞═════════════════╪═════════════════════════════════╪═════════════════╪═══════════════════╡\n",
      "│ Zm00001eb001830 ┆ 1                               ┆ 1               ┆ 2                 │\n",
      "│ Zm00001eb004880 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "│ Zm00001eb017700 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "│ Zm00001eb042290 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "│ Zm00001eb043170 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "│ …               ┆ …                               ┆ …               ┆ …                 │\n",
      "│ Zm00001eb396130 ┆ 1                               ┆ 1               ┆ 2                 │\n",
      "│ Zm00001eb418870 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "│ Zm00001eb419930 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "│ Zm00001eb427390 ┆ 1                               ┆ 1               ┆ 2                 │\n",
      "│ Zm00001eb440370 ┆ 1                               ┆ 1               ┆ 1                 │\n",
      "└─────────────────┴─────────────────────────────────┴─────────────────┴───────────────────┘\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (5, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>target hit count (gene level vs uniprot accession)</th><th>foldseek no hit</th><th>UniProt Accession</th></tr><tr><td>str</td><td>u32</td><td>bool</td><td>str</td></tr></thead><tbody><tr><td>&quot;Zm00001eb001830&quot;</td><td>0</td><td>true</td><td>&quot;A0A804LCQ3&quot;</td></tr><tr><td>&quot;Zm00001eb001830&quot;</td><td>0</td><td>true</td><td>&quot;B6TX01&quot;</td></tr><tr><td>&quot;Zm00001eb004880&quot;</td><td>0</td><td>true</td><td>&quot;A0A804LE50&quot;</td></tr><tr><td>&quot;Zm00001eb017700&quot;</td><td>0</td><td>true</td><td>&quot;B4FQP5&quot;</td></tr><tr><td>&quot;Zm00001eb042290&quot;</td><td>0</td><td>true</td><td>&quot;A0A804MRX5&quot;</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (5, 4)\n",
       "┌─────────────────┬─────────────────────────────────┬─────────────────┬───────────────────┐\n",
       "│ From            ┆ target hit count (gene level v… ┆ foldseek no hit ┆ UniProt Accession │\n",
       "│ ---             ┆ ---                             ┆ ---             ┆ ---               │\n",
       "│ str             ┆ u32                             ┆ bool            ┆ str               │\n",
       "╞═════════════════╪═════════════════════════════════╪═════════════════╪═══════════════════╡\n",
       "│ Zm00001eb001830 ┆ 0                               ┆ true            ┆ A0A804LCQ3        │\n",
       "│ Zm00001eb001830 ┆ 0                               ┆ true            ┆ B6TX01            │\n",
       "│ Zm00001eb004880 ┆ 0                               ┆ true            ┆ A0A804LE50        │\n",
       "│ Zm00001eb017700 ┆ 0                               ┆ true            ┆ B4FQP5            │\n",
       "│ Zm00001eb042290 ┆ 0                               ┆ true            ┆ A0A804MRX5        │\n",
       "└─────────────────┴─────────────────────────────────┴─────────────────┴───────────────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "no_hit_genes_list = hit_count.filter(\n",
    "    pl.col(\"foldseek no hit\") == True\n",
    ")\n",
    "\n",
    "idmapping_list = pl.read_csv(\n",
    "    query_uniprot_idmapping_tsv,\n",
    "    separator='\\t'\n",
    ")\n",
    "  \n",
    "no_hit_idmapping_list = no_hit_genes_list.join(\n",
    "    idmapping_list,\n",
    "    on=\"From\",\n",
    "    how=\"left\"\n",
    ").sort(\n",
    "    by=[\"From\"],\n",
    "    descending=[False]\n",
    ")\n",
    "\n",
    "print(no_hit_idmapping_list.group_by([\"From\"], maintain_order=True).n_unique())\n",
    "display(no_hit_idmapping_list.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73a10df2",
   "metadata": {
    "papermill": {
     "duration": 0.003962,
     "end_time": "2024-11-16T03:41:12.211888",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.207926",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7caa1d35",
   "metadata": {
    "papermill": {
     "duration": 0.003891,
     "end_time": "2024-11-16T03:41:12.219775",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.215884",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Filtering Condition2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6b3d4b64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.227943Z",
     "iopub.status.busy": "2024-11-16T03:41:12.227880Z",
     "iopub.status.idle": "2024-11-16T03:41:12.236546Z",
     "shell.execute_reply": "2024-11-16T03:41:12.236240Z"
    },
    "papermill": {
     "duration": 0.013183,
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     "exception": false,
     "start_time": "2024-11-16T03:41:12.223721",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (63, 44)\n",
      "┌────────────┬────────────┬───────────┬────────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
      "│ From       ┆ foldseek   ┆ UniProt   ┆ evalue ┆ … ┆ Gaps_perc ┆ Gaps_perc ┆ Score_wat ┆ Score_nee │\n",
      "│ ---        ┆ hit        ┆ Accession ┆ ---    ┆   ┆ ent_water ┆ ent_needl ┆ er        ┆ dle       │\n",
      "│ str        ┆ ---        ┆ ---       ┆ u32    ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---       │\n",
      "│            ┆ u32        ┆ u32       ┆        ┆   ┆ u32       ┆ ---       ┆ u32       ┆ u32       │\n",
      "│            ┆            ┆           ┆        ┆   ┆           ┆ u32       ┆           ┆           │\n",
      "╞════════════╪════════════╪═══════════╪════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
      "│ Zm00001eb0 ┆ 1          ┆ 1         ┆ 1      ┆ … ┆ 1         ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 15120      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ 13         ┆ 1         ┆ 13     ┆ … ┆ 11        ┆ 13        ┆ 13        ┆ 13        │\n",
      "│ 16250      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ 49         ┆ 1         ┆ 46     ┆ … ┆ 46        ┆ 47        ┆ 42        ┆ 43        │\n",
      "│ 19530      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ 13         ┆ 1         ┆ 13     ┆ … ┆ 13        ┆ 13        ┆ 13        ┆ 11        │\n",
      "│ 26680      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ 25         ┆ 1         ┆ 24     ┆ … ┆ 13        ┆ 14        ┆ 23        ┆ 24        │\n",
      "│ 52540      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ …          ┆ …          ┆ …         ┆ …      ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
      "│ Zm00001eb4 ┆ 7          ┆ 2         ┆ 7      ┆ … ┆ 7         ┆ 7         ┆ 7         ┆ 7         │\n",
      "│ 21170      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ 11         ┆ 1         ┆ 11     ┆ … ┆ 11        ┆ 11        ┆ 11        ┆ 11        │\n",
      "│ 22140      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ 6          ┆ 2         ┆ 6      ┆ … ┆ 5         ┆ 6         ┆ 6         ┆ 6         │\n",
      "│ 22500      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ 23         ┆ 1         ┆ 22     ┆ … ┆ 20        ┆ 22        ┆ 20        ┆ 22        │\n",
      "│ 23230      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ 1          ┆ 1         ┆ 1      ┆ … ┆ 1         ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 26810      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "└────────────┴────────────┴───────────┴────────┴───┴───────────┴───────────┴───────────┴───────────┘\n"
     ]
    },
    {
     "data": {
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       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (2_297, 44)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>foldseek hit</th><th>UniProt Accession</th><th>evalue</th><th>prob</th><th>gapopen</th><th>pident</th><th>fident</th><th>nident</th><th>qstart</th><th>qend</th><th>qlen</th><th>tstart</th><th>tend</th><th>tlen</th><th>alnlen</th><th>qcov</th><th>tcov</th><th>lddt</th><th>qtmscore</th><th>ttmscore</th><th>alntmscore</th><th>rmsd</th><th>taxid</th><th>taxname</th><th>taxlineage</th><th>qaln</th><th>taln</th><th>mismatch</th><th>lddtfull</th><th>Length_water</th><th>Length_needle</th><th>Identity_water</th><th>Identity_needle</th><th>Identity_percent_water</th><th>Identity_percent_needle</th><th>Similarity_percent_water</th><th>Similarity_percent_needle</th><th>Gaps_water</th><th>Gaps_needle</th><th>Gaps_percent_water</th><th>Gaps_percent_needle</th><th>Score_water</th><th>Score_needle</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;Zm00001eb015120&quot;</td><td>&quot;P10244&quot;</td><td>&quot;B4FYQ1&quot;</td><td>2.2480e-8</td><td>1.0</td><td>8</td><td>21.2</td><td>0.212</td><td>64</td><td>20</td><td>293</td><td>336</td><td>80</td><td>357</td><td>700</td><td>301</td><td>0.815</td><td>0.397</td><td>0.6932</td><td>0.3082</td><td>0.1504</td><td>0.1504</td><td>42.49</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;ELRRGPWTVEEDLQLVNYVDAHGEGRWNSL…</td><td>&quot;DLVKGPWTKEEDQKVIELVKKYGTKQWTLI…</td><td>187</td><td>&quot;0.478,0.570,0.638,0.583,0.521,…</td><td>109</td><td>769</td><td>&quot;46/109&quot;</td><td>&quot;86/769&quot;</td><td>42.2</td><td>11.2</td><td>66.1</td><td>18.3</td><td>&quot;3/109&quot;</td><td>&quot;502/769&quot;</td><td>2.8</td><td>65.3</td><td>251.5</td><td>237.0</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;A6NG13&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>0.09363</td><td>0.233</td><td>17</td><td>7.9</td><td>0.079</td><td>22</td><td>541</td><td>753</td><td>809</td><td>98</td><td>349</td><td>374</td><td>276</td><td>0.263</td><td>0.674</td><td>0.2589</td><td>0.1084</td><td>0.1928</td><td>0.1928</td><td>13.75</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;LTSLHGSIENLI--YDPEQNDEHIGHLDDR…</td><td>&quot;VSNTFEDLKFFFPHLRKEGRIYPDVIIGKG…</td><td>167</td><td>&quot;0.111,0.220,0.385,0.314,0.346,…</td><td>111</td><td>903</td><td>&quot;20/111&quot;</td><td>&quot;72/903&quot;</td><td>18.0</td><td>8.0</td><td>36.0</td><td>15.7</td><td>&quot;36/111&quot;</td><td>&quot;623/903&quot;</td><td>32.4</td><td>69.0</td><td>52.0</td><td>34.0</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;C9J202&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>0.004906</td><td>0.999</td><td>11</td><td>13.2</td><td>0.132</td><td>30</td><td>523</td><td>729</td><td>809</td><td>13</td><td>213</td><td>215</td><td>226</td><td>0.256</td><td>0.935</td><td>0.3742</td><td>0.1726</td><td>0.5272</td><td>0.5272</td><td>7.897</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;SPGADMSIYFPHTEKAKRLTSLHGSIENLI…</td><td>&quot;DKPASFFKEAPLDLQHRLFMKL-GSTHSPF…</td><td>152</td><td>&quot;0.112,0.163,0.217,0.272,0.250,…</td><td>31</td><td>858</td><td>&quot;10/31&quot;</td><td>&quot;42/858&quot;</td><td>32.3</td><td>4.9</td><td>48.4</td><td>8.7</td><td>&quot;8/31&quot;</td><td>&quot;692/858&quot;</td><td>25.8</td><td>80.7</td><td>38.0</td><td>15.5</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;P06737&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>0.000005</td><td>1.0</td><td>54</td><td>9.1</td><td>0.091</td><td>82</td><td>202</td><td>809</td><td>809</td><td>26</td><td>845</td><td>847</td><td>901</td><td>0.752</td><td>0.968</td><td>0.3153</td><td>0.3421</td><td>0.3285</td><td>0.3285</td><td>20.29</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;GRLQSVLTKAEE-HLSKLPADTPYSQFAYK…</td><td>&quot;AELKKSFNRHLHFTLVKDRNVATTRDYYF-…</td><td>445</td><td>&quot;0.250,0.263,0.259,0.271,0.385,…</td><td>557</td><td>1110</td><td>&quot;103/557&quot;</td><td>&quot;141/1110&quot;</td><td>18.5</td><td>12.7</td><td>33.2</td><td>22.8</td><td>&quot;169/557&quot;</td><td>&quot;564/1110&quot;</td><td>30.3</td><td>50.8</td><td>87.5</td><td>74.0</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;P11216&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>0.000039</td><td>0.998</td><td>60</td><td>9.5</td><td>0.095</td><td>87</td><td>202</td><td>806</td><td>809</td><td>26</td><td>843</td><td>843</td><td>921</td><td>0.748</td><td>0.97</td><td>0.2935</td><td>0.295</td><td>0.285</td><td>0.285</td><td>19.82</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;GRLQSVLTKAEE-HLSKLP-ADTPYSQFAY…</td><td>&quot;AEVRKSFNRHLHFTLVKDRNVATPRDYFF-…</td><td>415</td><td>&quot;0.250,0.276,0.255,0.276,0.397,…</td><td>576</td><td>1159</td><td>&quot;104/576&quot;</td><td>&quot;148/1159&quot;</td><td>18.1</td><td>12.8</td><td>31.4</td><td>21.5</td><td>&quot;231/576&quot;</td><td>&quot;666/1159&quot;</td><td>40.1</td><td>57.5</td><td>85.0</td><td>68.5</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;Q8N635&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>9.4530e-12</td><td>1.0</td><td>19</td><td>12.1</td><td>0.121</td><td>36</td><td>10</td><td>266</td><td>279</td><td>1</td><td>288</td><td>442</td><td>297</td><td>0.921</td><td>0.652</td><td>0.5335</td><td>0.4185</td><td>0.3061</td><td>0.3061</td><td>9.928</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;NRTVPDIRPFPPFVLFDDIQDFNNLPHVKS…</td><td>&quot;MANSFAARIFTT---LSDLQT-NMAN--LK…</td><td>212</td><td>&quot;0.528,0.639,0.625,0.778,0.694,…</td><td>139</td><td>488</td><td>&quot;31/139&quot;</td><td>&quot;69/488&quot;</td><td>22.3</td><td>14.1</td><td>38.1</td><td>22.3</td><td>&quot;24/139&quot;</td><td>&quot;255/488&quot;</td><td>17.3</td><td>52.3</td><td>39.5</td><td>31.0</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;Q8WTR8&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>0.03324</td><td>0.981</td><td>7</td><td>12.3</td><td>0.123</td><td>15</td><td>27</td><td>128</td><td>279</td><td>350</td><td>457</td><td>489</td><td>121</td><td>0.366</td><td>0.221</td><td>0.4643</td><td>0.2308</td><td>0.1371</td><td>0.1371</td><td>8.675</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;DIQDFNN---------LPHVKSIFARVVVK…</td><td>&quot;NMSDTRVHMSLRRYCQQDH--VLRAQVLAS…</td><td>74</td><td>&quot;0.149,0.130,0.177,0.221,0.194,…</td><td>87</td><td>749</td><td>&quot;17/87&quot;</td><td>&quot;6/749&quot;</td><td>19.5</td><td>0.8</td><td>29.9</td><td>0.8</td><td>&quot;43/87&quot;</td><td>&quot;730/749&quot;</td><td>49.4</td><td>97.5</td><td>31.5</td><td>8.0</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;Q96I59&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>0.004554</td><td>1.0</td><td>7</td><td>11.9</td><td>0.119</td><td>18</td><td>1</td><td>146</td><td>279</td><td>7</td><td>141</td><td>477</td><td>151</td><td>0.523</td><td>0.283</td><td>0.516</td><td>0.2929</td><td>0.1832</td><td>0.1832</td><td>8.112</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MAGSGRINQNRTVPDIRPFPPFVLFDDIQD…</td><td>&quot;LLRSVRFCSSAPFPKHKPSAKLSVRDALGA…</td><td>112</td><td>&quot;0.875,0.850,0.833,0.821,0.781,…</td><td>79</td><td>734</td><td>&quot;17/79&quot;</td><td>&quot;9/734&quot;</td><td>21.5</td><td>1.2</td><td>35.4</td><td>1.6</td><td>&quot;18/79&quot;</td><td>&quot;712/734&quot;</td><td>22.8</td><td>97.0</td><td>35.5</td><td>19.0</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;Q9NUX5&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>0.000012</td><td>1.0</td><td>19</td><td>9.3</td><td>0.093</td><td>31</td><td>10</td><td>258</td><td>279</td><td>1</td><td>304</td><td>634</td><td>333</td><td>0.892</td><td>0.479</td><td>0.4262</td><td>0.2922</td><td>0.1686</td><td>0.1686</td><td>12.94</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;NRTVPDIRPFPPFVLFDDIQDFNNLPHVKS…</td><td>&quot;MSLVPATN--YIYTPLNQLK----GGTIVN…</td><td>189</td><td>&quot;0.472,0.528,0.675,0.694,0.750,…</td><td>164</td><td>724</td><td>&quot;36/164&quot;</td><td>&quot;52/724&quot;</td><td>22.0</td><td>7.2</td><td>34.8</td><td>11.7</td><td>&quot;69/164&quot;</td><td>&quot;535/724&quot;</td><td>42.1</td><td>73.9</td><td>45.0</td><td>16.5</td></tr><tr><td>&quot;Zm00001eb426810&quot;</td><td>&quot;Q99633&quot;</td><td>&quot;K7U586&quot;</td><td>9.2720e-17</td><td>1.0</td><td>9</td><td>32.4</td><td>0.324</td><td>119</td><td>1</td><td>351</td><td>387</td><td>1</td><td>342</td><td>342</td><td>367</td><td>0.907</td><td>1.0</td><td>0.6796</td><td>0.4271</td><td>0.4787</td><td>0.4787</td><td>19.27</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MDLLKRELEKKRKAATAD---FGGKSFVRR…</td><td>&quot;MDILKSEILRKRQLVEDRNLLVENKKYFKR…</td><td>207</td><td>&quot;1.000,1.000,1.000,1.000,1.000,…</td><td>394</td><td>430</td><td>&quot;136/394&quot;</td><td>&quot;136/430&quot;</td><td>34.5</td><td>31.6</td><td>50.8</td><td>46.5</td><td>&quot;95/394&quot;</td><td>&quot;131/430&quot;</td><td>24.1</td><td>30.5</td><td>541.0</td><td>541.0</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (2_297, 44)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ From      ┆ foldseek  ┆ UniProt   ┆ evalue    ┆ … ┆ Gaps_perc ┆ Gaps_perc ┆ Score_wat ┆ Score_ne │\n",
       "│ ---       ┆ hit       ┆ Accession ┆ ---       ┆   ┆ ent_water ┆ ent_needl ┆ er        ┆ edle     │\n",
       "│ str       ┆ ---       ┆ ---       ┆ f64       ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---      │\n",
       "│           ┆ str       ┆ str       ┆           ┆   ┆ f64       ┆ ---       ┆ f64       ┆ f64      │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ f64       ┆           ┆          │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ Zm00001eb ┆ P10244    ┆ B4FYQ1    ┆ 2.2480e-8 ┆ … ┆ 2.8       ┆ 65.3      ┆ 251.5     ┆ 237.0    │\n",
       "│ 015120    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ A6NG13    ┆ A0A1D6K2E ┆ 0.09363   ┆ … ┆ 32.4      ┆ 69.0      ┆ 52.0      ┆ 34.0     │\n",
       "│ 016250    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ C9J202    ┆ A0A1D6K2E ┆ 0.004906  ┆ … ┆ 25.8      ┆ 80.7      ┆ 38.0      ┆ 15.5     │\n",
       "│ 016250    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ P06737    ┆ A0A1D6K2E ┆ 0.000005  ┆ … ┆ 30.3      ┆ 50.8      ┆ 87.5      ┆ 74.0     │\n",
       "│ 016250    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ P11216    ┆ A0A1D6K2E ┆ 0.000039  ┆ … ┆ 40.1      ┆ 57.5      ┆ 85.0      ┆ 68.5     │\n",
       "│ 016250    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ …         ┆ …         ┆ …         ┆ …         ┆ … ┆ …         ┆ …         ┆ …         ┆ …        │\n",
       "│ Zm00001eb ┆ Q8N635    ┆ A0A1D6PJP ┆ 9.4530e-1 ┆ … ┆ 17.3      ┆ 52.3      ┆ 39.5      ┆ 31.0     │\n",
       "│ 423230    ┆           ┆ 8         ┆ 2         ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q8WTR8    ┆ A0A1D6PJP ┆ 0.03324   ┆ … ┆ 49.4      ┆ 97.5      ┆ 31.5      ┆ 8.0      │\n",
       "│ 423230    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q96I59    ┆ A0A1D6PJP ┆ 0.004554  ┆ … ┆ 22.8      ┆ 97.0      ┆ 35.5      ┆ 19.0     │\n",
       "│ 423230    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q9NUX5    ┆ A0A1D6PJP ┆ 0.000012  ┆ … ┆ 42.1      ┆ 73.9      ┆ 45.0      ┆ 16.5     │\n",
       "│ 423230    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q99633    ┆ K7U586    ┆ 9.2720e-1 ┆ … ┆ 24.1      ┆ 30.5      ┆ 541.0     ┆ 541.0    │\n",
       "│ 426810    ┆           ┆           ┆ 7         ┆   ┆           ┆           ┆           ┆          │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "condition2 = join_foldseek.sort(\n",
    "    by=[\"qcov\", \"foldseek hit\", \"lddt\"], # sort by qcov, foldseek hit, lddt\n",
    "    descending=[True, False, True]\n",
    ").group_by(\n",
    "    [\"From\", \"foldseek hit\"],\n",
    "    maintain_order=True\n",
    ").agg(\n",
    "    [\n",
    "        pl.all().first() # sustain the first record in each group (in this case, qcov is the highest and lddt is the highest)\n",
    "    ]\n",
    ").sort(\n",
    "    by=[\"From\", \"UniProt Accession\", \"foldseek hit\"],\n",
    "    descending=[False, False, False],\n",
    "    maintain_order=True\n",
    ")\n",
    "\n",
    "print(condition2.group_by([\"From\"], maintain_order=True).n_unique())\n",
    "display(condition2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f538aa72",
   "metadata": {
    "papermill": {
     "duration": 0.004178,
     "end_time": "2024-11-16T03:41:12.245608",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.241430",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c945aecd",
   "metadata": {
    "papermill": {
     "duration": 0.004081,
     "end_time": "2024-11-16T03:41:12.253904",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.249823",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Filtering Condition3\n",
    "\n",
    "- select the ones with qcov (query coverage) >= 0.5 and tcov (target coverage) >= 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3d37d087",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.262636Z",
     "iopub.status.busy": "2024-11-16T03:41:12.262543Z",
     "iopub.status.idle": "2024-11-16T03:41:12.273917Z",
     "shell.execute_reply": "2024-11-16T03:41:12.273698Z"
    },
    "papermill": {
     "duration": 0.016295,
     "end_time": "2024-11-16T03:41:12.274350",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.258055",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (59, 44)\n",
      "┌────────────┬────────────┬───────────┬────────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
      "│ From       ┆ foldseek   ┆ UniProt   ┆ evalue ┆ … ┆ Gaps_perc ┆ Gaps_perc ┆ Score_wat ┆ Score_nee │\n",
      "│ ---        ┆ hit        ┆ Accession ┆ ---    ┆   ┆ ent_water ┆ ent_needl ┆ er        ┆ dle       │\n",
      "│ str        ┆ ---        ┆ ---       ┆ u32    ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---       │\n",
      "│            ┆ u32        ┆ u32       ┆        ┆   ┆ u32       ┆ ---       ┆ u32       ┆ u32       │\n",
      "│            ┆            ┆           ┆        ┆   ┆           ┆ u32       ┆           ┆           │\n",
      "╞════════════╪════════════╪═══════════╪════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
      "│ Zm00001eb2 ┆ 59         ┆ 1         ┆ 58     ┆ … ┆ 49        ┆ 51        ┆ 59        ┆ 57        │\n",
      "│ 25160      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb3 ┆ 46         ┆ 1         ┆ 42     ┆ … ┆ 42        ┆ 45        ┆ 30        ┆ 32        │\n",
      "│ 96280      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb1 ┆ 59         ┆ 1         ┆ 54     ┆ … ┆ 53        ┆ 55        ┆ 54        ┆ 56        │\n",
      "│ 84670      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb2 ┆ 131        ┆ 1         ┆ 100    ┆ … ┆ 99        ┆ 110       ┆ 84        ┆ 84        │\n",
      "│ 87130      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb3 ┆ 89         ┆ 2         ┆ 83     ┆ … ┆ 75        ┆ 73        ┆ 79        ┆ 78        │\n",
      "│ 60640      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ …          ┆ …          ┆ …         ┆ …      ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
      "│ Zm00001eb1 ┆ 1          ┆ 1         ┆ 1      ┆ … ┆ 1         ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 74130      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb1 ┆ 1          ┆ 1         ┆ 1      ┆ … ┆ 1         ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 61900      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ 1          ┆ 1         ┆ 1      ┆ … ┆ 1         ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 52950      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb3 ┆ 2          ┆ 1         ┆ 2      ┆ … ┆ 2         ┆ 2         ┆ 2         ┆ 2         │\n",
      "│ 05760      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ 1          ┆ 1         ┆ 1      ┆ … ┆ 1         ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 26810      ┆            ┆           ┆        ┆   ┆           ┆           ┆           ┆           │\n",
      "└────────────┴────────────┴───────────┴────────┴───┴───────────┴───────────┴───────────┴───────────┘\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1_203, 44)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>foldseek hit</th><th>UniProt Accession</th><th>evalue</th><th>prob</th><th>gapopen</th><th>pident</th><th>fident</th><th>nident</th><th>qstart</th><th>qend</th><th>qlen</th><th>tstart</th><th>tend</th><th>tlen</th><th>alnlen</th><th>qcov</th><th>tcov</th><th>lddt</th><th>qtmscore</th><th>ttmscore</th><th>alntmscore</th><th>rmsd</th><th>taxid</th><th>taxname</th><th>taxlineage</th><th>qaln</th><th>taln</th><th>mismatch</th><th>lddtfull</th><th>Length_water</th><th>Length_needle</th><th>Identity_water</th><th>Identity_needle</th><th>Identity_percent_water</th><th>Identity_percent_needle</th><th>Similarity_percent_water</th><th>Similarity_percent_needle</th><th>Gaps_water</th><th>Gaps_needle</th><th>Gaps_percent_water</th><th>Gaps_percent_needle</th><th>Score_water</th><th>Score_needle</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;Zm00001eb225160&quot;</td><td>&quot;Q08477&quot;</td><td>&quot;C0PFY1&quot;</td><td>2.8440e-19</td><td>1.0</td><td>24</td><td>19.1</td><td>0.191</td><td>103</td><td>3</td><td>511</td><td>519</td><td>25</td><td>520</td><td>520</td><td>537</td><td>0.981</td><td>0.954</td><td>0.6285</td><td>0.7479</td><td>0.7465</td><td>0.7465</td><td>6.021</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;VNDVLLVVLAAALAAMWWRRCSKTGGVDGL…</td><td>&quot;VGASWLLARILAWTYTFYDNCCRL--RCF-…</td><td>365</td><td>&quot;0.818,0.833,0.846,0.857,0.867,…</td><td>550</td><td>610</td><td>&quot;139/550&quot;</td><td>&quot;141/610&quot;</td><td>25.3</td><td>23.1</td><td>39.3</td><td>36.2</td><td>&quot;137/550&quot;</td><td>&quot;181/610&quot;</td><td>24.9</td><td>29.7</td><td>255.5</td><td>243.5</td></tr><tr><td>&quot;Zm00001eb396280&quot;</td><td>&quot;Q6FI81&quot;</td><td>&quot;K7VEJ7&quot;</td><td>0.008919</td><td>0.941</td><td>14</td><td>13.1</td><td>0.131</td><td>27</td><td>126</td><td>302</td><td>327</td><td>10</td><td>184</td><td>312</td><td>205</td><td>0.541</td><td>0.561</td><td>0.3392</td><td>0.2607</td><td>0.2706</td><td>0.2706</td><td>13.18</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;SRVAFVG--SGPLPFSSLVLAARHLPNTLF…</td><td>&quot;QFVAVVWDKSSPV------EALKGL-----…</td><td>120</td><td>&quot;0.250,0.364,0.402,0.419,0.390,…</td><td>55</td><td>400</td><td>&quot;11/55&quot;</td><td>&quot;65/400&quot;</td><td>20.0</td><td>16.2</td><td>43.6</td><td>27.5</td><td>&quot;6/55&quot;</td><td>&quot;161/400&quot;</td><td>10.9</td><td>40.2</td><td>44.5</td><td>25.0</td></tr><tr><td>&quot;Zm00001eb225160&quot;</td><td>&quot;P33261&quot;</td><td>&quot;C0PFY1&quot;</td><td>2.3350e-23</td><td>1.0</td><td>19</td><td>21.1</td><td>0.211</td><td>112</td><td>1</td><td>510</td><td>519</td><td>1</td><td>490</td><td>490</td><td>530</td><td>0.983</td><td>1.0</td><td>0.6659</td><td>0.7948</td><td>0.8384</td><td>0.8384</td><td>3.931</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MDVNDVLLVVLAAALAAMWWRRCSKTGGVD…</td><td>&quot;MDPFVVLVLCLSCLLLLSIWRQSSGRG---…</td><td>358</td><td>&quot;0.864,1.000,1.000,1.000,0.962,…</td><td>517</td><td>572</td><td>&quot;123/517&quot;</td><td>&quot;128/572&quot;</td><td>23.8</td><td>22.4</td><td>42.4</td><td>39.3</td><td>&quot;102/517&quot;</td><td>&quot;135/572&quot;</td><td>19.7</td><td>23.6</td><td>345.0</td><td>333.0</td></tr><tr><td>&quot;Zm00001eb184670&quot;</td><td>&quot;A6NM36&quot;</td><td>&quot;A0A804NTC5&quot;</td><td>1.4630e-7</td><td>1.0</td><td>15</td><td>19.6</td><td>0.196</td><td>65</td><td>1</td><td>321</td><td>329</td><td>3</td><td>256</td><td>301</td><td>330</td><td>0.976</td><td>0.844</td><td>0.563</td><td>0.5168</td><td>0.5581</td><td>0.5581</td><td>8.734</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MSLWKQPSKLAMVVVLLLLLCHAVDKVHCS…</td><td>&quot;ARQSRASSK---------------DKGPKR…</td><td>180</td><td>&quot;0.950,1.000,0.786,0.781,0.614,…</td><td>252</td><td>402</td><td>&quot;67/252&quot;</td><td>&quot;68/402&quot;</td><td>26.6</td><td>16.9</td><td>45.2</td><td>28.6</td><td>&quot;43/252&quot;</td><td>&quot;174/402&quot;</td><td>17.1</td><td>43.3</td><td>152.5</td><td>132.0</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;Q9H015&quot;</td><td>&quot;B4FI43&quot;</td><td>0.0001169</td><td>1.0</td><td>21</td><td>12.7</td><td>0.127</td><td>53</td><td>52</td><td>426</td><td>440</td><td>141</td><td>504</td><td>551</td><td>415</td><td>0.852</td><td>0.661</td><td>0.4236</td><td>0.5442</td><td>0.4476</td><td>0.4476</td><td>7.16</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;SLQILQASANLPMVAKP-LIGLLSDAVPIR…</td><td>&quot;KVPLTTSLFFVGVLLGSFVSGQLSDRFG--…</td><td>271</td><td>&quot;0.397,0.423,0.438,0.442,0.488,…</td><td>158</td><td>856</td><td>&quot;37/158&quot;</td><td>&quot;41/856&quot;</td><td>23.4</td><td>4.8</td><td>36.7</td><td>7.8</td><td>&quot;39/158&quot;</td><td>&quot;721/856&quot;</td><td>24.7</td><td>84.2</td><td>82.0</td><td>66.5</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>&quot;P11166&quot;</td><td>&quot;B4FI43&quot;</td><td>0.0000305</td><td>1.0</td><td>18</td><td>12.6</td><td>0.126</td><td>59</td><td>9</td><td>427</td><td>440</td><td>16</td><td>449</td><td>492</td><td>466</td><td>0.952</td><td>0.882</td><td>0.4218</td><td>0.51</td><td>0.4669</td><td>0.4669</td><td>9.196</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;EGAATAARRRLVIGVGFWVQGFRLFPWLG-…</td><td>&quot;VGGAVLGSLQFGYNTGVINAPQKVIEEFYN…</td><td>328</td><td>&quot;0.370,0.392,0.343,0.367,0.481,…</td><td>254</td><td>726</td><td>&quot;48/254&quot;</td><td>&quot;57/726&quot;</td><td>18.9</td><td>7.9</td><td>37.4</td><td>15.0</td><td>&quot;63/254&quot;</td><td>&quot;520/726&quot;</td><td>24.8</td><td>71.6</td><td>88.0</td><td>85.0</td></tr><tr><td>&quot;Zm00001eb071640&quot;</td><td>&quot;Q96A44&quot;</td><td>&quot;A0A1D6E0F4&quot;</td><td>0.01061</td><td>0.9</td><td>21</td><td>12.0</td><td>0.12</td><td>38</td><td>1</td><td>263</td><td>297</td><td>9</td><td>271</td><td>273</td><td>316</td><td>0.886</td><td>0.963</td><td>0.361</td><td>0.2953</td><td>0.3151</td><td>0.3151</td><td>26.97</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MAALLCSPNKLRRS-VLLVGVALMLGMHLS…</td><td>&quot;LKSVEVREPALRPAKRELRGAEPGRPARLD…</td><td>172</td><td>&quot;0.750,0.800,0.708,0.857,0.812,…</td><td>149</td><td>430</td><td>&quot;31/149&quot;</td><td>&quot;40/430&quot;</td><td>20.8</td><td>9.3</td><td>34.2</td><td>15.6</td><td>&quot;45/149&quot;</td><td>&quot;290/430&quot;</td><td>30.2</td><td>67.4</td><td>56.5</td><td>40.5</td></tr><tr><td>&quot;Zm00001eb110720&quot;</td><td>&quot;Q9BZL4&quot;</td><td>&quot;A0A804MTP5&quot;</td><td>0.01473</td><td>0.214</td><td>29</td><td>11.2</td><td>0.112</td><td>91</td><td>2</td><td>683</td><td>704</td><td>20</td><td>710</td><td>782</td><td>812</td><td>0.969</td><td>0.884</td><td>0.5887</td><td>0.06786</td><td>0.06322</td><td>0.06322</td><td>49.43</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;EYFAMTQQMW---REKRPTKSLVVGRPILL…</td><td>&quot;ERRREQLRQWGARAGAEPGPGERRAR----…</td><td>470</td><td>&quot;0.850,0.705,0.705,0.771,0.692,…</td><td>485</td><td>1077</td><td>&quot;92/485&quot;</td><td>&quot;108/1077&quot;</td><td>19.0</td><td>10.0</td><td>31.1</td><td>17.4</td><td>&quot;178/485&quot;</td><td>&quot;668/1077&quot;</td><td>36.7</td><td>62.0</td><td>104.5</td><td>93.5</td></tr><tr><td>&quot;Zm00001eb191890&quot;</td><td>&quot;Q8NHV1&quot;</td><td>&quot;A0A804NWN2&quot;</td><td>0.005963</td><td>0.569</td><td>19</td><td>10.5</td><td>0.105</td><td>36</td><td>103</td><td>429</td><td>434</td><td>8</td><td>222</td><td>300</td><td>341</td><td>0.753</td><td>0.717</td><td>0.3116</td><td>0.1906</td><td>0.2478</td><td>0.2478</td><td>23.31</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;PLHIVHICSEMYPVASCGPLSAYVASLSCE…</td><td>&quot;SLRIVLVG-KTG--------SGKSATANTI…</td><td>165</td><td>&quot;0.293,0.385,0.393,0.418,0.434,…</td><td>156</td><td>657</td><td>&quot;31/156&quot;</td><td>&quot;20/657&quot;</td><td>19.9</td><td>3.0</td><td>37.2</td><td>6.2</td><td>&quot;49/156&quot;</td><td>&quot;580/657&quot;</td><td>31.4</td><td>88.3</td><td>45.0</td><td>27.5</td></tr><tr><td>&quot;Zm00001eb422500&quot;</td><td>&quot;P25067&quot;</td><td>&quot;A0A804RJF9&quot;</td><td>0.08496</td><td>0.138</td><td>20</td><td>13.6</td><td>0.136</td><td>62</td><td>1</td><td>406</td><td>417</td><td>332</td><td>702</td><td>703</td><td>455</td><td>0.974</td><td>0.528</td><td>0.5461</td><td>0.08354</td><td>0.05537</td><td>0.05537</td><td>52.54</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MPGL--GCGRP-RQASNLHMGRQALRCVAF…</td><td>&quot;VPGLLGDRGEPGEDGEPGEQGPQ-------…</td><td>260</td><td>&quot;0.625,0.393,0.275,0.179,0.235,…</td><td>229</td><td>857</td><td>&quot;58/229&quot;</td><td>&quot;81/857&quot;</td><td>25.3</td><td>9.5</td><td>29.3</td><td>13.2</td><td>&quot;40/229&quot;</td><td>&quot;594/857&quot;</td><td>17.5</td><td>69.3</td><td>87.5</td><td>64.5</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1_203, 44)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ From      ┆ foldseek  ┆ UniProt   ┆ evalue    ┆ … ┆ Gaps_perc ┆ Gaps_perc ┆ Score_wat ┆ Score_ne │\n",
       "│ ---       ┆ hit       ┆ Accession ┆ ---       ┆   ┆ ent_water ┆ ent_needl ┆ er        ┆ edle     │\n",
       "│ str       ┆ ---       ┆ ---       ┆ f64       ┆   ┆ ---       ┆ e         ┆ ---       ┆ ---      │\n",
       "│           ┆ str       ┆ str       ┆           ┆   ┆ f64       ┆ ---       ┆ f64       ┆ f64      │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ f64       ┆           ┆          │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ Zm00001eb ┆ Q08477    ┆ C0PFY1    ┆ 2.8440e-1 ┆ … ┆ 24.9      ┆ 29.7      ┆ 255.5     ┆ 243.5    │\n",
       "│ 225160    ┆           ┆           ┆ 9         ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q6FI81    ┆ K7VEJ7    ┆ 0.008919  ┆ … ┆ 10.9      ┆ 40.2      ┆ 44.5      ┆ 25.0     │\n",
       "│ 396280    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ P33261    ┆ C0PFY1    ┆ 2.3350e-2 ┆ … ┆ 19.7      ┆ 23.6      ┆ 345.0     ┆ 333.0    │\n",
       "│ 225160    ┆           ┆           ┆ 3         ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ A6NM36    ┆ A0A804NTC ┆ 1.4630e-7 ┆ … ┆ 17.1      ┆ 43.3      ┆ 152.5     ┆ 132.0    │\n",
       "│ 184670    ┆           ┆ 5         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q9H015    ┆ B4FI43    ┆ 0.0001169 ┆ … ┆ 24.7      ┆ 84.2      ┆ 82.0      ┆ 66.5     │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ …         ┆ …         ┆ …         ┆ …         ┆ … ┆ …         ┆ …         ┆ …         ┆ …        │\n",
       "│ Zm00001eb ┆ P11166    ┆ B4FI43    ┆ 0.0000305 ┆ … ┆ 24.8      ┆ 71.6      ┆ 88.0      ┆ 85.0     │\n",
       "│ 287130    ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q96A44    ┆ A0A1D6E0F ┆ 0.01061   ┆ … ┆ 30.2      ┆ 67.4      ┆ 56.5      ┆ 40.5     │\n",
       "│ 071640    ┆           ┆ 4         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q9BZL4    ┆ A0A804MTP ┆ 0.01473   ┆ … ┆ 36.7      ┆ 62.0      ┆ 104.5     ┆ 93.5     │\n",
       "│ 110720    ┆           ┆ 5         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ Q8NHV1    ┆ A0A804NWN ┆ 0.005963  ┆ … ┆ 31.4      ┆ 88.3      ┆ 45.0      ┆ 27.5     │\n",
       "│ 191890    ┆           ┆ 2         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "│ Zm00001eb ┆ P25067    ┆ A0A804RJF ┆ 0.08496   ┆ … ┆ 17.5      ┆ 69.3      ┆ 87.5      ┆ 64.5     │\n",
       "│ 422500    ┆           ┆ 9         ┆           ┆   ┆           ┆           ┆           ┆          │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "condition3 = condition2.filter(\n",
    "        (pl.col(\"qcov\") >= 0.5) &\n",
    "        (pl.col(\"tcov\") >= 0.5)\n",
    "    ).unique()\n",
    "\n",
    "condition3_rm = condition2.filter(\n",
    "        (pl.col(\"qcov\") < 0.5) |\n",
    "        (pl.col(\"tcov\") < 0.5)\n",
    "    )\n",
    "\n",
    "print(condition3.group_by([\"From\"], maintain_order=True).n_unique())\n",
    "display(condition3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4cb6bfe",
   "metadata": {
    "papermill": {
     "duration": 0.004373,
     "end_time": "2024-11-16T03:41:12.283596",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.279223",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f69cc0b7",
   "metadata": {
    "papermill": {
     "duration": 0.004231,
     "end_time": "2024-11-16T03:41:12.292115",
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     "start_time": "2024-11-16T03:41:12.287884",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Filtering Condition4\n",
    "\n",
    "- select the ones that can be converted to HGNC Gene symbol through Ensembl ID by TogoID\n",
    "- Article: [TogoID: an exploratory ID converter to bridge biological dataset](https://doi.org/10.1093/bioinformatics/btac491)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7378a08a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.300984Z",
     "iopub.status.busy": "2024-11-16T03:41:12.300916Z",
     "iopub.status.idle": "2024-11-16T03:41:12.304551Z",
     "shell.execute_reply": "2024-11-16T03:41:12.304290Z"
    },
    "papermill": {
     "duration": 0.008563,
     "end_time": "2024-11-16T03:41:12.304954",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.296391",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (5_256, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>foldseek hit</th><th>ensembl_protein_id</th><th>ensembl_transcript_id</th><th>ensembl_gene_id</th><th>hgnc_id</th><th>hgnc_symbol_id</th></tr><tr><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td></tr></thead><tbody><tr><td>&quot;A0A1B0GWK0&quot;</td><td>&quot;ENSP00000490956&quot;</td><td>&quot;ENST00000637878&quot;</td><td>&quot;ENSG00000225180&quot;</td><td>40053</td><td>&quot;PVALEF&quot;</td></tr><tr><td>&quot;A0AVF1&quot;</td><td>&quot;ENSP00000339135&quot;</td><td>&quot;ENST00000343187&quot;</td><td>&quot;ENSG00000105948&quot;</td><td>21882</td><td>&quot;IFT56&quot;</td></tr><tr><td>&quot;A0AVF1&quot;</td><td>&quot;ENSP00000410655&quot;</td><td>&quot;ENST00000430935&quot;</td><td>&quot;ENSG00000105948&quot;</td><td>21882</td><td>&quot;IFT56&quot;</td></tr><tr><td>&quot;A0AVF1&quot;</td><td>&quot;ENSP00000419279&quot;</td><td>&quot;ENST00000464848&quot;</td><td>&quot;ENSG00000105948&quot;</td><td>21882</td><td>&quot;IFT56&quot;</td></tr><tr><td>&quot;A0PJX0&quot;</td><td>&quot;ENSP00000288861&quot;</td><td>&quot;ENST00000288861&quot;</td><td>&quot;ENSG00000157884&quot;</td><td>33703</td><td>&quot;CIB4&quot;</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Q9Y6R4&quot;</td><td>&quot;ENSP00000355886&quot;</td><td>&quot;ENST00000366919&quot;</td><td>&quot;ENSG00000085511&quot;</td><td>6856</td><td>&quot;MAP3K4&quot;</td></tr><tr><td>&quot;Q9Y6R4&quot;</td><td>&quot;ENSP00000375986&quot;</td><td>&quot;ENST00000392142&quot;</td><td>&quot;ENSG00000085511&quot;</td><td>6856</td><td>&quot;MAP3K4&quot;</td></tr><tr><td>&quot;Q9Y6T7&quot;</td><td>&quot;ENSP00000382260&quot;</td><td>&quot;ENST00000399322&quot;</td><td>&quot;ENSG00000136267&quot;</td><td>2850</td><td>&quot;DGKB&quot;</td></tr><tr><td>&quot;Q9Y6T7&quot;</td><td>&quot;ENSP00000385780&quot;</td><td>&quot;ENST00000403951&quot;</td><td>&quot;ENSG00000136267&quot;</td><td>2850</td><td>&quot;DGKB&quot;</td></tr><tr><td>&quot;Q9Y6T7&quot;</td><td>&quot;ENSP00000386066&quot;</td><td>&quot;ENST00000406247&quot;</td><td>&quot;ENSG00000136267&quot;</td><td>2850</td><td>&quot;DGKB&quot;</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (5_256, 6)\n",
       "┌──────────────┬───────────────────┬──────────────────┬─────────────────┬─────────┬────────────────┐\n",
       "│ foldseek hit ┆ ensembl_protein_i ┆ ensembl_transcri ┆ ensembl_gene_id ┆ hgnc_id ┆ hgnc_symbol_id │\n",
       "│ ---          ┆ d                 ┆ pt_id            ┆ ---             ┆ ---     ┆ ---            │\n",
       "│ str          ┆ ---               ┆ ---              ┆ str             ┆ i64     ┆ str            │\n",
       "│              ┆ str               ┆ str              ┆                 ┆         ┆                │\n",
       "╞══════════════╪═══════════════════╪══════════════════╪═════════════════╪═════════╪════════════════╡\n",
       "│ A0A1B0GWK0   ┆ ENSP00000490956   ┆ ENST00000637878  ┆ ENSG00000225180 ┆ 40053   ┆ PVALEF         │\n",
       "│ A0AVF1       ┆ ENSP00000339135   ┆ ENST00000343187  ┆ ENSG00000105948 ┆ 21882   ┆ IFT56          │\n",
       "│ A0AVF1       ┆ ENSP00000410655   ┆ ENST00000430935  ┆ ENSG00000105948 ┆ 21882   ┆ IFT56          │\n",
       "│ A0AVF1       ┆ ENSP00000419279   ┆ ENST00000464848  ┆ ENSG00000105948 ┆ 21882   ┆ IFT56          │\n",
       "│ A0PJX0       ┆ ENSP00000288861   ┆ ENST00000288861  ┆ ENSG00000157884 ┆ 33703   ┆ CIB4           │\n",
       "│ …            ┆ …                 ┆ …                ┆ …               ┆ …       ┆ …              │\n",
       "│ Q9Y6R4       ┆ ENSP00000355886   ┆ ENST00000366919  ┆ ENSG00000085511 ┆ 6856    ┆ MAP3K4         │\n",
       "│ Q9Y6R4       ┆ ENSP00000375986   ┆ ENST00000392142  ┆ ENSG00000085511 ┆ 6856    ┆ MAP3K4         │\n",
       "│ Q9Y6T7       ┆ ENSP00000382260   ┆ ENST00000399322  ┆ ENSG00000136267 ┆ 2850    ┆ DGKB           │\n",
       "│ Q9Y6T7       ┆ ENSP00000385780   ┆ ENST00000403951  ┆ ENSG00000136267 ┆ 2850    ┆ DGKB           │\n",
       "│ Q9Y6T7       ┆ ENSP00000386066   ┆ ENST00000406247  ┆ ENSG00000136267 ┆ 2850    ┆ DGKB           │\n",
       "└──────────────┴───────────────────┴──────────────────┴─────────────────┴─────────┴────────────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "togoid_convert = pl.read_csv(\n",
    "    togoid_convert_tsv_path,\n",
    "    separator='\\t'\n",
    ").rename(\n",
    "    {\n",
    "        \"uniprot_id\" : \"foldseek hit\"\n",
    "    }\n",
    ").filter(\n",
    "    pl.col(\"ensembl_gene_id\").is_not_null()\n",
    ")\n",
    "\n",
    "display(togoid_convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bf307bdb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.314217Z",
     "iopub.status.busy": "2024-11-16T03:41:12.314140Z",
     "iopub.status.idle": "2024-11-16T03:41:12.323824Z",
     "shell.execute_reply": "2024-11-16T03:41:12.323585Z"
    },
    "papermill": {
     "duration": 0.014655,
     "end_time": "2024-11-16T03:41:12.324180",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.309525",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1_183, 47)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>foldseek hit</th><th>UniProt Accession</th><th>evalue</th><th>prob</th><th>gapopen</th><th>pident</th><th>fident</th><th>nident</th><th>qstart</th><th>qend</th><th>qlen</th><th>tstart</th><th>tend</th><th>tlen</th><th>alnlen</th><th>qcov</th><th>tcov</th><th>lddt</th><th>qtmscore</th><th>ttmscore</th><th>alntmscore</th><th>rmsd</th><th>taxid</th><th>taxname</th><th>taxlineage</th><th>qaln</th><th>taln</th><th>mismatch</th><th>lddtfull</th><th>Length_water</th><th>Length_needle</th><th>Identity_water</th><th>Identity_needle</th><th>Identity_percent_water</th><th>Identity_percent_needle</th><th>Similarity_percent_water</th><th>Similarity_percent_needle</th><th>Gaps_water</th><th>Gaps_needle</th><th>Gaps_percent_water</th><th>Gaps_percent_needle</th><th>Score_water</th><th>Score_needle</th><th>hgnc_symbol_id</th><th>ensembl_gene_id</th><th>ensembl_protein_id</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>str</td><td>i64</td><td>i64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>list[str]</td><td>list[str]</td><td>list[str]</td></tr></thead><tbody><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;Q9H553&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>2.2910e-17</td><td>1.0</td><td>30</td><td>17.6</td><td>0.176</td><td>92</td><td>276</td><td>777</td><td>809</td><td>14</td><td>414</td><td>416</td><td>522</td><td>0.621</td><td>0.964</td><td>0.4487</td><td>0.3763</td><td>0.6807</td><td>0.6807</td><td>6.926</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;IFNVVVVSPHGYFGQANVLGLPDTGGQIVY…</td><td>&quot;KPSVLFLHPD--LGV---------GGAERL…</td><td>289</td><td>&quot;0.140,0.257,0.344,0.428,0.457,…</td><td>343</td><td>868</td><td>&quot;77/343&quot;</td><td>&quot;101/868&quot;</td><td>22.4</td><td>11.6</td><td>42.0</td><td>22.0</td><td>&quot;79/343&quot;</td><td>&quot;511/868&quot;</td><td>23.0</td><td>58.9</td><td>180.5</td><td>162.0</td><td>[&quot;ALG2&quot;, &quot;ALG2&quot;]</td><td>[&quot;ENSG00000119523&quot;, &quot;ENSG00000119523&quot;]</td><td>[&quot;ENSP00000326609&quot;, &quot;ENSP00000417764&quot;]</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;P54840&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>1.2080e-8</td><td>1.0</td><td>43</td><td>13.2</td><td>0.132</td><td>95</td><td>279</td><td>809</td><td>809</td><td>30</td><td>650</td><td>703</td><td>717</td><td>0.656</td><td>0.883</td><td>0.3476</td><td>0.3461</td><td>0.3912</td><td>0.3912</td><td>17.25</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;VVVVSPHGYFGQANVLGLPDTGGQIVYILD…</td><td>&quot;LFEVA---WEVTNKVGG--------IYTVI…</td><td>340</td><td>&quot;0.477,0.505,0.548,0.528,0.447,…</td><td>625</td><td>1021</td><td>&quot;123/625&quot;</td><td>&quot;142/1021&quot;</td><td>19.7</td><td>13.9</td><td>33.4</td><td>23.6</td><td>&quot;211/625&quot;</td><td>&quot;530/1021&quot;</td><td>33.8</td><td>51.9</td><td>125.0</td><td>108.5</td><td>[&quot;GYS2&quot;]</td><td>[&quot;ENSG00000111713&quot;]</td><td>[&quot;ENSP00000261195&quot;]</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;P11216&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>0.000039</td><td>0.998</td><td>60</td><td>9.5</td><td>0.095</td><td>87</td><td>202</td><td>806</td><td>809</td><td>26</td><td>843</td><td>843</td><td>921</td><td>0.748</td><td>0.97</td><td>0.2935</td><td>0.295</td><td>0.285</td><td>0.285</td><td>19.82</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;GRLQSVLTKAEE-HLSKLP-ADTPYSQFAY…</td><td>&quot;AEVRKSFNRHLHFTLVKDRNVATPRDYFF-…</td><td>415</td><td>&quot;0.250,0.276,0.255,0.276,0.397,…</td><td>576</td><td>1159</td><td>&quot;104/576&quot;</td><td>&quot;148/1159&quot;</td><td>18.1</td><td>12.8</td><td>31.4</td><td>21.5</td><td>&quot;231/576&quot;</td><td>&quot;666/1159&quot;</td><td>40.1</td><td>57.5</td><td>85.0</td><td>68.5</td><td>[&quot;PYGB&quot;]</td><td>[&quot;ENSG00000100994&quot;]</td><td>[&quot;ENSP00000216962&quot;]</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;Q2TAA5&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>3.3650e-12</td><td>1.0</td><td>32</td><td>12.9</td><td>0.129</td><td>71</td><td>276</td><td>774</td><td>809</td><td>62</td><td>491</td><td>492</td><td>549</td><td>0.617</td><td>0.874</td><td>0.4284</td><td>0.3545</td><td>0.5438</td><td>0.5438</td><td>8.1</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;IFNVVVVSPHGYFGQANVLGLPDTGGQIVY…</td><td>&quot;QMVIAFFHPYCNAG----------GGGERV…</td><td>309</td><td>&quot;0.179,0.353,0.532,0.612,0.592,…</td><td>401</td><td>918</td><td>&quot;87/401&quot;</td><td>&quot;111/918&quot;</td><td>21.7</td><td>12.1</td><td>35.9</td><td>20.4</td><td>&quot;115/401&quot;</td><td>&quot;535/918&quot;</td><td>28.7</td><td>58.3</td><td>101.5</td><td>67.5</td><td>[&quot;ALG11&quot;]</td><td>[&quot;ENSG00000253710&quot;]</td><td>[&quot;ENSP00000430236&quot;]</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;P37287&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>9.1030e-14</td><td>1.0</td><td>31</td><td>13.4</td><td>0.134</td><td>75</td><td>276</td><td>806</td><td>809</td><td>32</td><td>456</td><td>484</td><td>556</td><td>0.656</td><td>0.878</td><td>0.4651</td><td>0.394</td><td>0.6276</td><td>0.6276</td><td>8.116</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;IFNVVVVSPHGYFGQANVLGLPDTGGQIVY…</td><td>&quot;THNICMVSDFFY---------PNMGGVESH…</td><td>325</td><td>&quot;0.208,0.327,0.468,0.555,0.647,…</td><td>397</td><td>946</td><td>&quot;86/397&quot;</td><td>&quot;107/946&quot;</td><td>21.7</td><td>11.3</td><td>34.8</td><td>18.4</td><td>&quot;124/397&quot;</td><td>&quot;599/946&quot;</td><td>31.2</td><td>63.3</td><td>104.5</td><td>84.0</td><td>[&quot;PIGA&quot;, &quot;PIGA&quot;, … &quot;PIGA&quot;]</td><td>[&quot;ENSG00000165195&quot;, &quot;ENSG00000165195&quot;, … &quot;ENSG00000165195&quot;]</td><td>[&quot;ENSP00000369820&quot;, &quot;ENSP00000489528&quot;, … &quot;ENSP00000489540&quot;]</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;P41218&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>2.7690e-9</td><td>1.0</td><td>16</td><td>9.3</td><td>0.093</td><td>24</td><td>1</td><td>236</td><td>279</td><td>177</td><td>393</td><td>407</td><td>258</td><td>0.846</td><td>0.533</td><td>0.5159</td><td>0.3406</td><td>0.2551</td><td>0.2551</td><td>12.2</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MAGSGRINQNRTVPDIRPFPPFVLFDDIQD…</td><td>&quot;QTSSSTPSNTSFTPNQE-----TQAQRQVD…</td><td>171</td><td>&quot;0.938,0.900,0.958,0.929,0.875,…</td><td>135</td><td>575</td><td>&quot;33/135&quot;</td><td>&quot;34/575&quot;</td><td>24.4</td><td>5.9</td><td>39.3</td><td>9.9</td><td>&quot;41/135&quot;</td><td>&quot;464/575&quot;</td><td>30.4</td><td>80.7</td><td>48.0</td><td>34.0</td><td>[&quot;MNDA&quot;]</td><td>[&quot;ENSG00000163563&quot;]</td><td>[&quot;ENSP00000357123&quot;]</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;O14862&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>9.1260e-9</td><td>1.0</td><td>15</td><td>10.3</td><td>0.103</td><td>27</td><td>1</td><td>241</td><td>279</td><td>112</td><td>341</td><td>343</td><td>261</td><td>0.864</td><td>0.671</td><td>0.5251</td><td>0.3562</td><td>0.3026</td><td>0.3026</td><td>13.82</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MAGSGRINQNRTVPDIRPF--PPFVLFDDI…</td><td>&quot;AAIRNDVAKQRAAPKVSPHVKPEQKQMVAQ…</td><td>183</td><td>&quot;0.938,0.950,0.917,0.964,0.875,…</td><td>38</td><td>533</td><td>&quot;15/38&quot;</td><td>&quot;32/533&quot;</td><td>39.5</td><td>6.0</td><td>50.0</td><td>8.6</td><td>&quot;3/38&quot;</td><td>&quot;444/533&quot;</td><td>7.9</td><td>83.3</td><td>42.5</td><td>22.0</td><td>[&quot;AIM2&quot;, &quot;AIM2&quot;, &quot;AIM2&quot;]</td><td>[&quot;ENSG00000163568&quot;, &quot;ENSG00000163568&quot;, &quot;ENSG00000163568&quot;]</td><td>[&quot;ENSP00000357112&quot;, &quot;ENSP00000512039&quot;, &quot;ENSP00000512040&quot;]</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;Q8N635&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>9.4530e-12</td><td>1.0</td><td>19</td><td>12.1</td><td>0.121</td><td>36</td><td>10</td><td>266</td><td>279</td><td>1</td><td>288</td><td>442</td><td>297</td><td>0.921</td><td>0.652</td><td>0.5335</td><td>0.4185</td><td>0.3061</td><td>0.3061</td><td>9.928</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;NRTVPDIRPFPPFVLFDDIQDFNNLPHVKS…</td><td>&quot;MANSFAARIFTT---LSDLQT-NMAN--LK…</td><td>212</td><td>&quot;0.528,0.639,0.625,0.778,0.694,…</td><td>139</td><td>488</td><td>&quot;31/139&quot;</td><td>&quot;69/488&quot;</td><td>22.3</td><td>14.1</td><td>38.1</td><td>22.3</td><td>&quot;24/139&quot;</td><td>&quot;255/488&quot;</td><td>17.3</td><td>52.3</td><td>39.5</td><td>31.0</td><td>[&quot;MEIOB&quot;, &quot;MEIOB&quot;]</td><td>[&quot;ENSG00000162039&quot;, &quot;ENSG00000162039&quot;]</td><td>[&quot;ENSP00000314484&quot;, &quot;ENSP00000380504&quot;]</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;P32754&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>0.05236</td><td>0.051</td><td>27</td><td>7.6</td><td>0.076</td><td>28</td><td>41</td><td>260</td><td>279</td><td>42</td><td>378</td><td>393</td><td>367</td><td>0.789</td><td>0.858</td><td>0.2141</td><td>0.1146</td><td>0.09431</td><td>0.09431</td><td>17.48</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;FARVVVKFP---RRHDSQHFILQD------…</td><td>&quot;FE-PLAYRGLETGSREVVSHVIKQGKIVFV…</td><td>162</td><td>&quot;0.052,0.129,0.179,0.199,0.214,…</td><td>74</td><td>495</td><td>&quot;21/74&quot;</td><td>&quot;57/495&quot;</td><td>28.4</td><td>11.5</td><td>41.9</td><td>17.2</td><td>&quot;15/74&quot;</td><td>&quot;318/495&quot;</td><td>20.3</td><td>64.2</td><td>52.0</td><td>27.5</td><td>[&quot;HPD&quot;]</td><td>[&quot;ENSG00000158104&quot;]</td><td>[&quot;ENSP00000441677&quot;]</td></tr><tr><td>&quot;Zm00001eb426810&quot;</td><td>&quot;Q99633&quot;</td><td>&quot;K7U586&quot;</td><td>9.2720e-17</td><td>1.0</td><td>9</td><td>32.4</td><td>0.324</td><td>119</td><td>1</td><td>351</td><td>387</td><td>1</td><td>342</td><td>342</td><td>367</td><td>0.907</td><td>1.0</td><td>0.6796</td><td>0.4271</td><td>0.4787</td><td>0.4787</td><td>19.27</td><td>9606</td><td>&quot;Homo sapiens&quot;</td><td>&quot;-_cellular organisms;d_Eukaryo…</td><td>&quot;MDLLKRELEKKRKAATAD---FGGKSFVRR…</td><td>&quot;MDILKSEILRKRQLVEDRNLLVENKKYFKR…</td><td>207</td><td>&quot;1.000,1.000,1.000,1.000,1.000,…</td><td>394</td><td>430</td><td>&quot;136/394&quot;</td><td>&quot;136/430&quot;</td><td>34.5</td><td>31.6</td><td>50.8</td><td>46.5</td><td>&quot;95/394&quot;</td><td>&quot;131/430&quot;</td><td>24.1</td><td>30.5</td><td>541.0</td><td>541.0</td><td>[&quot;PRPF18&quot;]</td><td>[&quot;ENSG00000165630&quot;]</td><td>[&quot;ENSP00000367835&quot;]</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1_183, 47)\n",
       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
       "│ From      ┆ foldseek  ┆ UniProt   ┆ evalue    ┆ … ┆ Score_nee ┆ hgnc_symb ┆ ensembl_g ┆ ensembl_ │\n",
       "│ ---       ┆ hit       ┆ Accession ┆ ---       ┆   ┆ dle       ┆ ol_id     ┆ ene_id    ┆ protein_ │\n",
       "│ str       ┆ ---       ┆ ---       ┆ f64       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ id       │\n",
       "│           ┆ str       ┆ str       ┆           ┆   ┆ f64       ┆ list[str] ┆ list[str] ┆ ---      │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆ list[str │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆ ]        │\n",
       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
       "│ Zm00001eb ┆ Q9H553    ┆ A0A1D6K2E ┆ 2.2910e-1 ┆ … ┆ 162.0     ┆ [\"ALG2\",  ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 016250    ┆           ┆ 8         ┆ 7         ┆   ┆           ┆ \"ALG2\"]   ┆ 00119523\" ┆ 00032660 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ , \"ENSG00 ┆ 9\", \"ENS │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ 000…      ┆ P00000…  │\n",
       "│ Zm00001eb ┆ P54840    ┆ A0A1D6K2E ┆ 1.2080e-8 ┆ … ┆ 108.5     ┆ [\"GYS2\"]  ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 016250    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆ 00111713\" ┆ 00026119 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ ]         ┆ 5\"]      │\n",
       "│ Zm00001eb ┆ P11216    ┆ A0A1D6K2E ┆ 0.000039  ┆ … ┆ 68.5      ┆ [\"PYGB\"]  ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 016250    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆ 00100994\" ┆ 00021696 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ ]         ┆ 2\"]      │\n",
       "│ Zm00001eb ┆ Q2TAA5    ┆ A0A1D6K2E ┆ 3.3650e-1 ┆ … ┆ 67.5      ┆ [\"ALG11\"] ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 016250    ┆           ┆ 8         ┆ 2         ┆   ┆           ┆           ┆ 00253710\" ┆ 00043023 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ ]         ┆ 6\"]      │\n",
       "│ Zm00001eb ┆ P37287    ┆ A0A1D6K2E ┆ 9.1030e-1 ┆ … ┆ 84.0      ┆ [\"PIGA\",  ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 016250    ┆           ┆ 8         ┆ 4         ┆   ┆           ┆ \"PIGA\", … ┆ 00165195\" ┆ 00036982 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ \"PIGA\"]   ┆ , \"ENSG00 ┆ 0\", \"ENS │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ 000…      ┆ P00000…  │\n",
       "│ …         ┆ …         ┆ …         ┆ …         ┆ … ┆ …         ┆ …         ┆ …         ┆ …        │\n",
       "│ Zm00001eb ┆ P41218    ┆ A0A1D6PJP ┆ 2.7690e-9 ┆ … ┆ 34.0      ┆ [\"MNDA\"]  ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 423230    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆ 00163563\" ┆ 00035712 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ ]         ┆ 3\"]      │\n",
       "│ Zm00001eb ┆ O14862    ┆ A0A1D6PJP ┆ 9.1260e-9 ┆ … ┆ 22.0      ┆ [\"AIM2\",  ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 423230    ┆           ┆ 8         ┆           ┆   ┆           ┆ \"AIM2\",   ┆ 00163568\" ┆ 00035711 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆ \"AIM2\"]   ┆ , \"ENSG00 ┆ 2\", \"ENS │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ 000…      ┆ P00000…  │\n",
       "│ Zm00001eb ┆ Q8N635    ┆ A0A1D6PJP ┆ 9.4530e-1 ┆ … ┆ 31.0      ┆ [\"MEIOB\", ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 423230    ┆           ┆ 8         ┆ 2         ┆   ┆           ┆ \"MEIOB\"]  ┆ 00162039\" ┆ 00031448 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ , \"ENSG00 ┆ 4\", \"ENS │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ 000…      ┆ P00000…  │\n",
       "│ Zm00001eb ┆ P32754    ┆ A0A1D6PJP ┆ 0.05236   ┆ … ┆ 27.5      ┆ [\"HPD\"]   ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 423230    ┆           ┆ 8         ┆           ┆   ┆           ┆           ┆ 00158104\" ┆ 00044167 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ ]         ┆ 7\"]      │\n",
       "│ Zm00001eb ┆ Q99633    ┆ K7U586    ┆ 9.2720e-1 ┆ … ┆ 541.0     ┆ [\"PRPF18\" ┆ [\"ENSG000 ┆ [\"ENSP00 │\n",
       "│ 426810    ┆           ┆           ┆ 7         ┆   ┆           ┆ ]         ┆ 00165630\" ┆ 00036783 │\n",
       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆ ]         ┆ 5\"]      │\n",
       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "condition4 = condition3.join(\n",
    "    togoid_convert,\n",
    "    on=\"foldseek hit\",\n",
    "    how=\"left\",\n",
    "    coalesce=True\n",
    ").filter(\n",
    "    pl.col(\"ensembl_gene_id\").is_not_null()\n",
    ").group_by(\n",
    "    pl.exclude(\n",
    "        [\n",
    "            \"hgnc_id\", \"hgnc_symbol_id\", \"ensembl_gene_id\", \"ensembl_protein_id\", \"ensembl_transcript_id\"\n",
    "        ]\n",
    "    ),\n",
    "    maintain_order=True\n",
    ").agg(\n",
    "    pl.col(\"hgnc_id\"),\n",
    "    pl.col(\"hgnc_symbol_id\"),\n",
    "    pl.col(\"ensembl_gene_id\"),\n",
    "    pl.col(\"ensembl_protein_id\"),\n",
    "    pl.col(\"ensembl_transcript_id\"),\n",
    ").drop(\n",
    "    [\n",
    "        \"hgnc_id\",\n",
    "        \"ensembl_transcript_id\"\n",
    "    ]\n",
    ").sort(\n",
    "    by=[\"From\"],\n",
    "    descending=[False]\n",
    ")\n",
    "\n",
    "display(condition4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b75edba4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.333791Z",
     "iopub.status.busy": "2024-11-16T03:41:12.333721Z",
     "iopub.status.idle": "2024-11-16T03:41:12.336699Z",
     "shell.execute_reply": "2024-11-16T03:41:12.336470Z"
    },
    "papermill": {
     "duration": 0.008035,
     "end_time": "2024-11-16T03:41:12.337033",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.328998",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (59, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>hit count (gene level)</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;Zm00001eb292530&quot;</td><td>163</td></tr><tr><td>&quot;Zm00001eb287130&quot;</td><td>128</td></tr><tr><td>&quot;Zm00001eb360640&quot;</td><td>88</td></tr><tr><td>&quot;Zm00001eb111740&quot;</td><td>80</td></tr><tr><td>&quot;Zm00001eb184670&quot;</td><td>59</td></tr><tr><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb161900&quot;</td><td>1</td></tr><tr><td>&quot;Zm00001eb174130&quot;</td><td>1</td></tr><tr><td>&quot;Zm00001eb271870&quot;</td><td>1</td></tr><tr><td>&quot;Zm00001eb316960&quot;</td><td>1</td></tr><tr><td>&quot;Zm00001eb426810&quot;</td><td>1</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (59, 2)\n",
       "┌─────────────────┬────────────────────────┐\n",
       "│ From            ┆ hit count (gene level) │\n",
       "│ ---             ┆ ---                    │\n",
       "│ str             ┆ u32                    │\n",
       "╞═════════════════╪════════════════════════╡\n",
       "│ Zm00001eb292530 ┆ 163                    │\n",
       "│ Zm00001eb287130 ┆ 128                    │\n",
       "│ Zm00001eb360640 ┆ 88                     │\n",
       "│ Zm00001eb111740 ┆ 80                     │\n",
       "│ Zm00001eb184670 ┆ 59                     │\n",
       "│ …               ┆ …                      │\n",
       "│ Zm00001eb161900 ┆ 1                      │\n",
       "│ Zm00001eb174130 ┆ 1                      │\n",
       "│ Zm00001eb271870 ┆ 1                      │\n",
       "│ Zm00001eb316960 ┆ 1                      │\n",
       "│ Zm00001eb426810 ┆ 1                      │\n",
       "└─────────────────┴────────────────────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hit_count_condition4 = condition4.group_by(\n",
    "    [\"From\"],\n",
    "    maintain_order=True\n",
    ").agg(\n",
    "    (pl.col(\"foldseek hit\").count().alias(\"hit count (gene level)\"))\n",
    ").sort(\n",
    "    by=[\"hit count (gene level)\"],\n",
    "    descending=True\n",
    ")\n",
    "\n",
    "display(hit_count_condition4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b0a01291",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.346675Z",
     "iopub.status.busy": "2024-11-16T03:41:12.346608Z",
     "iopub.status.idle": "2024-11-16T03:41:12.353454Z",
     "shell.execute_reply": "2024-11-16T03:41:12.353148Z"
    },
    "papermill": {
     "duration": 0.012014,
     "end_time": "2024-11-16T03:41:12.353826",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.341812",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape: (1_183, 11)\n",
      "┌────────────┬────────────┬────────────┬──────┬───┬────────────┬───────────┬───────────┬───────────┐\n",
      "│ From       ┆ UniProt    ┆ foldseek   ┆ qcov ┆ … ┆ Identity_p ┆ Identity_ ┆ Similarit ┆ Similarit │\n",
      "│ ---        ┆ Accession  ┆ hit        ┆ ---  ┆   ┆ ercent_nee ┆ percent_w ┆ y_percent ┆ y_percent │\n",
      "│ str        ┆ ---        ┆ ---        ┆ u32  ┆   ┆ dle        ┆ ater      ┆ _needle   ┆ _water    │\n",
      "│            ┆ str        ┆ str        ┆      ┆   ┆ ---        ┆ ---       ┆ ---       ┆ ---       │\n",
      "│            ┆            ┆            ┆      ┆   ┆ u32        ┆ u32       ┆ u32       ┆ u32       │\n",
      "╞════════════╪════════════╪════════════╪══════╪═══╪════════════╪═══════════╪═══════════╪═══════════╡\n",
      "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ Q9BT22     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 16250      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ P37287     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 16250      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ P11217     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 16250      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ P54840     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 16250      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ Q2TAA5     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 16250      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ …          ┆ …          ┆ …          ┆ …    ┆ … ┆ …          ┆ …         ┆ …         ┆ …         │\n",
      "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ P41218     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 23230      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ Q8N635     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 23230      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ O14862     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 23230      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ P32754     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 23230      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "│ Zm00001eb4 ┆ K7U586     ┆ Q99633     ┆ 1    ┆ … ┆ 1          ┆ 1         ┆ 1         ┆ 1         │\n",
      "│ 26810      ┆            ┆            ┆      ┆   ┆            ┆           ┆           ┆           │\n",
      "└────────────┴────────────┴────────────┴──────┴───┴────────────┴───────────┴───────────┴───────────┘\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1_183, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>From</th><th>UniProt Accession</th><th>foldseek hit</th><th>qcov</th><th>tcov</th><th>rmsd</th><th>lddt</th><th>Identity_percent_needle</th><th>Identity_percent_water</th><th>Similarity_percent_needle</th><th>Similarity_percent_water</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>&quot;Q9BT22&quot;</td><td>0.627</td><td>0.963</td><td>11.06</td><td>0.3921</td><td>5.3</td><td>21.1</td><td>9.8</td><td>34.2</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>&quot;P37287&quot;</td><td>0.656</td><td>0.878</td><td>8.116</td><td>0.4651</td><td>11.3</td><td>21.7</td><td>18.4</td><td>34.8</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>&quot;P11217&quot;</td><td>0.739</td><td>0.961</td><td>19.41</td><td>0.2953</td><td>12.2</td><td>17.5</td><td>22.6</td><td>32.2</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>&quot;P54840&quot;</td><td>0.656</td><td>0.883</td><td>17.25</td><td>0.3476</td><td>13.9</td><td>19.7</td><td>23.6</td><td>33.4</td></tr><tr><td>&quot;Zm00001eb016250&quot;</td><td>&quot;A0A1D6K2E8&quot;</td><td>&quot;Q2TAA5&quot;</td><td>0.617</td><td>0.874</td><td>8.1</td><td>0.4284</td><td>12.1</td><td>21.7</td><td>20.4</td><td>35.9</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>&quot;P41218&quot;</td><td>0.846</td><td>0.533</td><td>12.2</td><td>0.5159</td><td>5.9</td><td>24.4</td><td>9.9</td><td>39.3</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>&quot;Q8N635&quot;</td><td>0.921</td><td>0.652</td><td>9.928</td><td>0.5335</td><td>14.1</td><td>22.3</td><td>22.3</td><td>38.1</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>&quot;O14862&quot;</td><td>0.864</td><td>0.671</td><td>13.82</td><td>0.5251</td><td>6.0</td><td>39.5</td><td>8.6</td><td>50.0</td></tr><tr><td>&quot;Zm00001eb423230&quot;</td><td>&quot;A0A1D6PJP8&quot;</td><td>&quot;P32754&quot;</td><td>0.789</td><td>0.858</td><td>17.48</td><td>0.2141</td><td>11.5</td><td>28.4</td><td>17.2</td><td>41.9</td></tr><tr><td>&quot;Zm00001eb426810&quot;</td><td>&quot;K7U586&quot;</td><td>&quot;Q99633&quot;</td><td>0.907</td><td>1.0</td><td>19.27</td><td>0.6796</td><td>31.6</td><td>34.5</td><td>46.5</td><td>50.8</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1_183, 11)\n",
       "┌────────────┬────────────┬────────────┬───────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
       "│ From       ┆ UniProt    ┆ foldseek   ┆ qcov  ┆ … ┆ Identity_ ┆ Identity_ ┆ Similarit ┆ Similarit │\n",
       "│ ---        ┆ Accession  ┆ hit        ┆ ---   ┆   ┆ percent_n ┆ percent_w ┆ y_percent ┆ y_percent │\n",
       "│ str        ┆ ---        ┆ ---        ┆ f64   ┆   ┆ eedle     ┆ ater      ┆ _needle   ┆ _water    │\n",
       "│            ┆ str        ┆ str        ┆       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ ---       │\n",
       "│            ┆            ┆            ┆       ┆   ┆ f64       ┆ f64       ┆ f64       ┆ f64       │\n",
       "╞════════════╪════════════╪════════════╪═══════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
       "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ Q9BT22     ┆ 0.627 ┆ … ┆ 5.3       ┆ 21.1      ┆ 9.8       ┆ 34.2      │\n",
       "│ 16250      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ P37287     ┆ 0.656 ┆ … ┆ 11.3      ┆ 21.7      ┆ 18.4      ┆ 34.8      │\n",
       "│ 16250      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ P11217     ┆ 0.739 ┆ … ┆ 12.2      ┆ 17.5      ┆ 22.6      ┆ 32.2      │\n",
       "│ 16250      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ P54840     ┆ 0.656 ┆ … ┆ 13.9      ┆ 19.7      ┆ 23.6      ┆ 33.4      │\n",
       "│ 16250      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb0 ┆ A0A1D6K2E8 ┆ Q2TAA5     ┆ 0.617 ┆ … ┆ 12.1      ┆ 21.7      ┆ 20.4      ┆ 35.9      │\n",
       "│ 16250      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ …          ┆ …          ┆ …          ┆ …     ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
       "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ P41218     ┆ 0.846 ┆ … ┆ 5.9       ┆ 24.4      ┆ 9.9       ┆ 39.3      │\n",
       "│ 23230      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ Q8N635     ┆ 0.921 ┆ … ┆ 14.1      ┆ 22.3      ┆ 22.3      ┆ 38.1      │\n",
       "│ 23230      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ O14862     ┆ 0.864 ┆ … ┆ 6.0       ┆ 39.5      ┆ 8.6       ┆ 50.0      │\n",
       "│ 23230      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb4 ┆ A0A1D6PJP8 ┆ P32754     ┆ 0.789 ┆ … ┆ 11.5      ┆ 28.4      ┆ 17.2      ┆ 41.9      │\n",
       "│ 23230      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "│ Zm00001eb4 ┆ K7U586     ┆ Q99633     ┆ 0.907 ┆ … ┆ 31.6      ┆ 34.5      ┆ 46.5      ┆ 50.8      │\n",
       "│ 26810      ┆            ┆            ┆       ┆   ┆           ┆           ┆           ┆           │\n",
       "└────────────┴────────────┴────────────┴───────┴───┴───────────┴───────────┴───────────┴───────────┘"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "foldseek_filter_viz = condition4.select(\n",
    "    \"From\",\n",
    "    \"UniProt Accession\",\n",
    "    \"foldseek hit\",\n",
    "    \"qcov\",\n",
    "    \"tcov\",\n",
    "    \"rmsd\",\n",
    "    \"lddt\",\n",
    "    \"Identity_percent_needle\",\n",
    "    \"Identity_percent_water\",\n",
    "    \"Similarity_percent_needle\",\n",
    "    \"Similarity_percent_water\"\n",
    ").unique(\n",
    "    subset=[\"From\", \"UniProt Accession\", \"foldseek hit\"]\n",
    ").sort(\n",
    "    by=[\"From\"],\n",
    "    descending=[False]\n",
    ")\n",
    "\n",
    "print(foldseek_filter_viz.group_by([\"From\", \"UniProt Accession\", \"foldseek hit\"], maintain_order=True).n_unique())\n",
    "display(foldseek_filter_viz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "375e4e58",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-16T03:41:12.364052Z",
     "iopub.status.busy": "2024-11-16T03:41:12.363955Z",
     "iopub.status.idle": "2024-11-16T03:41:12.537777Z",
     "shell.execute_reply": "2024-11-16T03:41:12.537545Z"
    },
    "papermill": {
     "duration": 0.179289,
     "end_time": "2024-11-16T03:41:12.538191",
     "exception": false,
     "start_time": "2024-11-16T03:41:12.358902",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 4000x4000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x1100 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 5000x5000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8), dpi=500)\n",
    "\n",
    "sns.jointplot(\n",
    "    data=foldseek_filter_viz,\n",
    "    x=\"Similarity_percent_needle\",\n",
    "    y=\"lddt\",\n",
    "    color=\"darkcyan\",\n",
    "    height=11,\n",
    "    ratio=4,\n",
    "    marginal_ticks=True\n",
    ")\n",
    "\n",
    "# highlight the region of interest\n",
    "# plt.fill_betweenx(\n",
    "#     y=[0.5, 1],\n",
    "#     x1=-0.5,\n",
    "#     x2=25,\n",
    "#     color=\"red\",\n",
    "#     alpha=0.1\n",
    "# )\n",
    "\n",
    "plt.xlim(-0.5,100)\n",
    "plt.ylim(0,1)\n",
    "plt.xlabel(\"global alignment similarity(%)\")\n",
    "plt.ylabel(\"LDDT\")\n",
    "plt.axvline(x=25, color=\"black\", linestyle=\":\")\n",
    "plt.axvline(x=50, color=\"black\", linestyle=\":\")\n",
    "plt.axvline(x=75, color=\"black\", linestyle=\":\")\n",
    "plt.axhline(y=0.5, color=\"black\", linestyle=\":\")\n",
    "plt.figure(figsize=(10, 10), dpi=500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be6b926b",
   "metadata": {
    "papermill": {
     "duration": 0.005412,
     "end_time": "2024-11-16T03:41:12.560274",
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     "start_time": "2024-11-16T03:41:12.554862",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "&nbsp;\n",
    "\n",
    "&nbsp;\n"
   ]
  }
 ],
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   "input_path": "/tmp/xup4lvh0/stg1d9a37c7-14c1-4bef-a1b5-aa7e388f0402/foldseek_result_parse.ipynb",
   "output_path": "plant2human_report.ipynb",
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    "foldseek_result_tsv": "/tmp/xup4lvh0/stg9236d3ae-00b2-4533-9014-0a2bb8d66a74/foldseek_zm_random_9606.tsv",
    "needle_result_dir_path": "/tmp/xup4lvh0/stgf85f117c-4f86-4a0d-8e5b-8f24729661d9/result_needle",
    "query_gene_list_tsv_path": "/tmp/xup4lvh0/stgf311ab72-88ac-43b9-b7cf-7016d98efaaa/zea_mays_random_gene_list.tsv",
    "query_uniprot_idmapping_tsv": "/tmp/xup4lvh0/stgdd550faf-4495-4507-8482-9acecaa81ab1/zea_mays_random_gene_idmapping_all.tsv",
    "togoid_convert_tsv_path": "/tmp/xup4lvh0/stg8c91bc77-4704-47b1-b59d-507c6a937d79/foldseek_hit_species_togoid_convert.tsv",
    "water_result_dir_path": "/tmp/xup4lvh0/stg361f9941-1162-4125-aea3-393d52459b59/result_water"
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