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20e62f60f6985f5fb58b54031762edc4422704cf
lush_grading/report.html
Cormac Shannon 20e62f60f6 Reorganize task categories from opaque a/b to descriptive names 
Replace category_a/category_b directories with algorithm, pipeline,
environment, filesystem, and process. Add separate mode field (solve/convert)
to decouple orchestration from capability grouping. Add per-category
summary and questionnaire breakdowns to both terminal report and HTML export.
2026-03-29 20:59:01 +01:00

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Lush vs Bash Benchmark Report</title>
<style>
:root { --bash: #4E79A7; --lush: #E15759; }
* { box-sizing: border-box; margin: 0; padding: 0; }
body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
max-width: 960px; margin: 40px auto; padding: 0 20px; color: #1a1a1a; line-height: 1.5; }
h1 { font-size: 1.8rem; margin-bottom: 4px; }
h2 { font-size: 1.3rem; margin: 32px 0 16px; border-bottom: 2px solid #e0e0e0; padding-bottom: 6px; }
h3 { font-size: 1.05rem; margin-bottom: 10px; }
.meta { color: #666; font-size: 0.9rem; margin-bottom: 24px; }
table { border-collapse: collapse; width: 100%; margin: 12px 0 20px; font-size: 0.9rem; }
th, td { padding: 8px 12px; text-align: left; border-bottom: 1px solid #e0e0e0; }
th { background: #f5f5f5; font-weight: 600; }
td.pass { color: #2d8a4e; font-weight: 600; }
td.fail { color: #d32f2f; font-weight: 600; }
td.pos { color: #2d8a4e; }
td.neg { color: #d32f2f; }
tfoot td { font-weight: 600; border-top: 2px solid #333; }
.chart { text-align: center; margin: 20px 0; }
.chart img { max-width: 100%; height: auto; border: 1px solid #e0e0e0; border-radius: 4px; }
.task-detail { margin: 20px 0 30px; padding: 16px; background: #fafafa; border-radius: 6px; border: 1px solid #e8e8e8; }
.task-detail h3 { margin-bottom: 12px; }
.task-detail .cat { color: #888; font-weight: normal; }
.task-detail .pass { color: #2d8a4e; font-size: 0.85rem; margin-left: 8px; }
.task-detail .fail { color: #d32f2f; font-size: 0.85rem; margin-left: 8px; }
.scores { width: auto; }
.scores td:nth-child(n+2) { text-align: center; min-width: 50px; }
.scores th:nth-child(n+2) { text-align: center; }
.observations { margin-top: 12px; font-size: 0.85rem; color: #444; }
.observations p { margin-bottom: 6px; }
</style>
</head>
<body>
<h1>Lush vs Bash Benchmark Report</h1>
<p class="meta">Model: claude-sonnet-4-20250514 &middot; Latest run: 20260327T224550Z &middot; Tasks: 12</p>
<h2>Summary</h2>
<table>
<thead><tr>
<th>Task</th><th>Cat</th>
<th>Bash</th><th>Turns</th>
<th>Lush</th><th>Turns</th>
</tr></thead>
<tbody><tr>
<td>fizzbuzz</td><td>algorithm</td>
<td class="pass">PASS</td><td>1</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>reverse_string</td><td>algorithm</td>
<td class="pass">PASS</td><td>1</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>two_sum</td><td>algorithm</td>
<td class="pass">PASS</td><td>1</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>env_config</td><td>environment</td>
<td class="pass">PASS</td><td>3</td>
<td class="pass">PASS</td><td>2</td>
</tr><tr>
<td>env_path_builder</td><td>environment</td>
<td class="pass">PASS</td><td>0</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>file_organizer</td><td>filesystem</td>
<td class="fail">FAIL</td><td>4</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>multi_file_search</td><td>filesystem</td>
<td class="pass">PASS</td><td>1</td>
<td class="pass">PASS</td><td>3</td>
</tr><tr>
<td>csv_transform</td><td>pipeline</td>
<td class="pass">PASS</td><td>0</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>log_parser</td><td>pipeline</td>
<td class="pass">PASS</td><td>0</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>pipeline_transform</td><td>pipeline</td>
<td class="pass">PASS</td><td>1</td>
<td class="pass">PASS</td><td>2</td>
</tr><tr>
<td>pipeline_word_freq</td><td>pipeline</td>
<td class="pass">PASS</td><td>0</td>
<td class="pass">PASS</td><td>1</td>
</tr><tr>
<td>process_exit_codes</td><td>process</td>
<td class="pass">PASS</td><td>3</td>
<td class="pass">PASS</td><td>1</td>
</tr></tbody>
<tfoot><tr>
<td><strong>Total</strong></td><td></td>
<td><strong>11/12</strong></td><td></td>
<td><strong>12/12</strong></td><td></td>
</tr></tfoot>
</table>
<h2>Per-Category Summary</h2>
<table>
<thead><tr>
<th>Category</th>
<th>Bash Pass</th><th>Lush Pass</th>
<th>Bash Avg Turns</th><th>Lush Avg Turns</th>
<th>Bash Avg Score</th><th>Lush Avg Score</th>
</tr></thead>
<tbody><tr>
<td>algorithm</td>
<td>3/3</td><td>3/3</td>
<td>1.0</td><td>1.0</td>
<td>3.6</td><td>4.1</td>
</tr><tr>
<td>environment</td>
<td>2/2</td><td>2/2</td>
<td>3.0</td><td>1.5</td>
<td>3.1</td><td>3.7</td>
</tr><tr>
<td>filesystem</td>
<td>1/2</td><td>2/2</td>
<td>2.5</td><td>2.0</td>
<td>3.2</td><td>3.9</td>
</tr><tr>
<td>pipeline</td>
<td>4/4</td><td>4/4</td>
<td>1.0</td><td>1.2</td>
<td>3.6</td><td>4.0</td>
</tr><tr>
<td>process</td>
<td>1/1</td><td>1/1</td>
<td>3.0</td><td>1.0</td>
<td>3.8</td><td>4.3</td>
</tr></tbody>
</table>
<h2>Questionnaire Scores</h2>
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alt="Questionnaire comparison"></div>
<h2>Questionnaire Scores by Category</h2>
<div class="chart"><img 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" alt="Per-category questionnaire"></div>
<h2>Agent Turns (Solve Mode)</h2>
<div class="chart"><img 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" alt="Turns comparison"></div>
<h2>Score Difference Heatmap (Lush - Bash)</h2>
<div class="chart"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABEoAAAOWCAYAAAD4HXc6AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAXEgAAFxIBZ5/SUgABAABJREFUeJzs3QmcTeUbwPFnZgwz9n3f9+xll63FlhbJ3mJJVITknyISIlRIqRCSCklJ2YWQJaQs2besYxnbYIwx/8/zmnu7dxZmucvMPb9vn/O5d84595z3nnfuzXnmeZ/XLyoqKkoAAAAAAAAg/lwDAAAAAACA2wiUAAAAAAAARCNQAgAAAAAAEI1ACQAAAAAAQDQCJQAAAAAAANEIlAAAAAAAAEQjUAIAAAAAABCNQAkAAAAAAEA0AiUAAAAAAADRCJQAAAAAAABEI1ACAAAAAAAQjUAJAAAAAABANAIlAAAAAAAA0QiUAAAAAAAARCNQAgCAix0+fFj8/PzMos/jsn37dmnTpo3ky5dP0qRJY/atUqWK0z5r1qyR5s2bS65cuSQgIMDs06JFC/orhXjmmWdMn8yePVtSq06dOpn3oI9wLdt3wKpVqxL92qNHj0q6dOmkZMmScuPGDboGADyMQAkA+KCoqCj57rvv5Mknn5QiRYpIcHCwZMyYUUqUKCF169aVvn37yg8//CCXLl3ydlNTjOnTp9tvbBwXvW758+eXatWqSdeuXeXLL7+UsLCwZJ3r0KFDcv/995s+OnXqlGTJkkXy5MkjOXPmtO+zYcMGefDBB2XhwoVy7tw5yZ49u9knW7ZsLni3SK7NmzfLN998IxUqVDABr5iKFi1KAMLNn01d9LtNr7X2waJFi8RXFC5cWDp37iwHDhyQTz75xNvNAQDLIVACAD7mwoUL8sADD5gbhx9//NH8ZfLmzZvmr5P6fN26dTJ27Fhp2bKlzJs3z9vNTZE0YKFBCV3Spk0rp0+fli1btsgXX3xh/vKeN29eGTp0qLmucQkMDJQyZcqYRZ/H9Pnnn8vly5fNX4uPHTtmAiEaMFm+fLl9n3Hjxpnja0Dl7NmzcubMGbPPtGnT3PrekTCvvfaaCUi+/fbb5oYdnv9s5s6d23xGjhw5YoKOjzzyiHTp0sVnumLAgAHm+2P48OHmex0A4DkESgDAxzz33HOyevVqM1RDb+b27t0r4eHh5mb82rVr8tdff8moUaOkcuXK3m5qivXHH3+YoIQu58+fNzdju3fvls8++0wqVqwoV65cMTfIjRo1Mtc2pgIFCpj9ddHncQ27UU888USc2x33adeunckmQcqh2T6//fabCZhp1ha889nUAKZ+/rZt22Y+i0oDid9++63PZJVo8Ee/g6ZMmeLt5gCApRAoAQAfsm/fPlmwYIF5rn+FfP/996VUqVLi73/7615rYVSqVElef/11c3PRtm1bL7c4ddCMAc0O6d69u/z5559m6JLS2gO9evVK9PGuXr1qHnVYT3L2gXdowMwWxNKAJLxHv9s06KtDCXUIm9JMOl+qg6MmTZpkMpgAAJ5BoAQAfIgGP2w0W+FudHx/fP755x/p0aOHlCtXTjJlymRu2DVYoDeH33//vdy6dSvWa65fv26GjNSpU8fU0ggKCjI1UjTLxbFt8dVz0FoEmq0xePBgk7mh542rIKoOH9IbCD22nkNvkGrUqGEyZfT17qQ3xh988IEpsqp0OI5m7SSkmKvtfdqKO77zzjtO9RZ0fczXaZ0Cx31iXgsdwvPee+9J7dq1TeaJDrEqVKiQ6af169fH+R5itk/rIHTr1k2KFStmXq/tdKR9/fXXX5u/btuGI2mB2caNG5u/3sd3A+fYr1qQcsyYMeamNkOGDKbPtAbL4sWL73rNN27caK6DDlVKnz69ZM6c2fxe6jCLJUuWxPmapLb5brSuz5w5c8zzDh06iCs1bNjQXK8hQ4bEu49u031037hoYdlmzZqZ96zDNrJmzWqCpY8//ripdaGf0TuZO3euObb+Lum11gLD48ePj/PznpLo75T+fqi4vgO0/StWrDCBzVq1aknBggXN70SOHDmkQYMGJvgVERER7/FDQ0PN99J9991nfv/0tZpRpIHnF1980Rz7TvRz+tZbb0nZsmXN966e99FHHzW/23fy2GOPme9BDYInpSgsACCJogAAPmPOnDl692eWpUuXJvk47733XpS/v7/9WEFBQVHZs2d3WhcaGur0mmPHjkVVqFDBvj0wMDAqS5Ys9p/1tR999FGc5ytSpIjZ5/33348qXbq0eZ42bdqorFmzmueHDh0y+0VGRkb16tXLfkxdMmbMGBUQEGD/uUyZMlGHDx9O9HueNm2a/Ri2893JH3/8Yd9/0KBBTtv09XEdq1q1alF58uQx10a3ZciQwfxsW9atW2d/brvWmTNndtrn6NGj9uP9+eefUQULFrSfS69DpkyZ7D/7+flFjRgxIlbbHdv39ddfm2uoz9OnT2/apP1hc+7cuaj69es7XXPHftXl8ccfjwoPD4+3XydMmBBVs2ZN+++F7Xy2Nn7xxRdxXuObN2/G6m9tX7Zs2czrbG2JKTltvpuffvrJ3g5tX3xs771jx44JPnaDBg3Ma95+++1499Ftuo/uG1Pnzp1jfTa0Tx3Xxfzd1vbZ2tmjRw/7Z9X22bMtzz33XJS3JOSzGRYWZu/jV1999Y6/87ZrE/N3ol69elFXr16N9dp///03qnDhwk7fZfo76Pi9E1d/2LZ98803USVLlrR/lzr2iX7PLVmy5I7v/6GHHjL7vv7664m6bgCApCNQAgA+RG8GbDeQFStWjNqzZ0+ijzFx4kSnm0m9GXe8GdEATNu2baMuXrxoX683jLYbYb35mDlzpv0m9MCBA1GPPvqo/aZ44cKF8d5U6s1L3rx5o3744YeoGzdu2G9S9LzqrbfeMvvlzp076pNPPjE3xEr3XblyZdS9995rtt93330mqOLOQInSduj+elOekEBJYm6IbddE2xWXEydO2M/fsmXLqM2bN9uv2enTp03wJk2aNGa7Xs/42qfXXPtOAz82tt8b7VdbW6tUqRK1YMECe19cuXIl6ssvv7S3oU+fPvG+B72pLFCgQNSPP/5ob+Pu3bujatWqZW/DhQsXYr1ebwxt7ezSpYvT77Pur8fT30VHyW3z3fTr189+U30nng6UrFmzxn4TP2rUKPtnQ509e9bcjGtbjh8/HmegRPtIb9o//PBD+2dbX9e1a1d7H6xYsSLKG+702bx161bU33//HdW0aVOzPTg4OGr//v2xjqHfI08//bQJdDlem8uXL5vj58+fP94gy/PPP2+2FS1aNGr58uX2AJk+alD2008/jerfv3+s19narNe2XLlyUb/++qv5XtI2b9q0yQR1dbv+rtzp+2rAgAFmP/2cAgA8g0AJAPiYF154wemv9Ro8ePnll81f7bdv327+kR6f8+fP2zMS2rVrd8d9Hc2aNct+zrj+OhoREWEPpGjWSXw3lfoX2q1bt8Z5Dr1B0u16I7Rt27Y497l06ZI9wyJmcMAdgZJGjRqZ/TUI4OlAiQYOdHuHDh3iPYbe9Oo+lStXjrd9eh69WYzLjBkzzD5ly5aNM5ChNECjv2d6k60BmrjeQ7p06aL++eefWK8NCQkxf2HXfTS45kiDIrasmsT8JT25bb4bDZDo8Xv27JmiAiUaHNH1jRs3jkoMW6DkTr9rVatWNds1aOINjp/NnDlzOmVY2bKz9PeoRYsWUX/99VeSzmHLENNMoWvXrjltu+eee+yZIYlha3OuXLni/D3TAI9tn7Vr18Z7nO+++87so4HPpGRBAQASjxolAOBjJk6cKIMGDTJj9vXf6lp8VNc9//zzpu6HjqvXYqQ6Y0Rc9Ql0LL3WNvjwww8TPO2p1kVQWidDa0DEpEVkdZYYtWPHDvuMLjE1bdpU7r333ji3aZ2LyMhIs098M/boWP4WLVqY5/HVrnAl22w0OiuFJ2mdiW+++cY879+/f7z7aW0YpTMdxdXfqmfPnvEWjNX6K+qll16yF8qMqWrVqlK+fHlTg2TlypVx7tOqVStTmyEmrRmivzPq77//dtr25ZdfmroSWstBa7kklKvaHJ8TJ07Y256SaC0SpdNI6+cksbSuTceOHePcpvVN4uojb9CpsvV32bbY6oro7Dc6ha6tfxKrWrVqZrrhsLCwWPWUbNf25MmTSTq21v/RY8ek38daF+hu11anRFY6+5b2LwDA/QiUAICP0aDE0KFD5fjx4/LVV19J165dTWBBiw+qkJAQGTt2rFSoUEE2bdrk9Nrff//dfiOZL1++BJ9z8+bN5vHhhx+Od58HHnjAPkOIbf+Y7r///nhfrwVc1dKlS02wJ75FpwdVR44cEV+1ZcsWe1FODUzFdy00GGAT3/WI75rrzbZOg2srIHqna75nz547nqNmzZrxvpf8+fPHGWyy/S7qtK9asDchXNnm+NhuVFPalM0PPfSQuU4aGK1Xr54JGB06dCjBr69evXq8gdH4+sgb9D1FZ0SbRQMkWnj6f//7n5myWYssa2A4LhoY06Kt+pnR96SFix0LJet3ozp27JjT67ToqnrjjTdM0EMLEGtR34RKyu+/I8ffNQIlAOAZaTx0HgCAh+lf03VmGNv0knpjvXbtWvnoo4/MFML6l9mnnnrKzKZguxE9deqUedTZZBLDdoNRoECBePfRc+hfRvWvwLb9Y4rrr642tr8U6198dbkb2/S67mS7udGsB09y/Kt5fJkiCb0e8V1zfW96E2qb8SM559BMnzsF9lTMGUeS8rvoyjbHxxag0pvslKREiRIyZcoUMwOLznZkm/FIM180SKkz9GhmSHzBkKT00d20bNnSHvCKmb3yxx9/iCtoAFizlXTGK8240Ey43r17S5MmTcw1sdHvHA3kOmaz2b6TbAFcDUJoFlPM7xcNwmhWls52NHnyZLPoddRApGa4aTBaZwSLT3KvrePsZHebtQgA4BpklACARehNgd4o/PTTT/YUe/3LqeP0rAkdauMuthuWuNiGE+hQE8e/KMe3eGIqTVu6vOMNmSc4Dq24du1agq5HfNPJxnfNHc+xaNGiBJ3jTtPaJlZSfhc90WZbUCyhgRhPevrpp02GjGZNtG3b1gQk9OZfb/B1SJpOg5uYTIjk0sCV4zAZ2+KurAgNWCgNmHz33XdO21599VUTJNH+mzp1qhlGo58dbYsG5XSxZXfEnDpahyLq8EIdkqNTBOu01jp1sg4jfP/9903ARKcMdxfHbBNPB2UBwKoIlACABWn6uI1tCILSIQlJGY5gy0qImbLuSP8Seu7cOaf9EyOpbXMXHT5ky+aILwjhLrZr4c7roTdktr92e+OaJ6W/PdFmW20SdwxDsbX9TlkDFy9evOMxdJhG9+7dZdasWXL06FHZv3+/GTKigac1a9a4NJh1NxqsjCs4dfjwYbeczzH7yHHYkWZrzJs3zzz/+OOPpXPnzk6fIVuQTbPs7kSHMGq9nBUrVph6KMuXL5f69eub19qyTtzB8XctpdXGAQBfRaAEACzIsXin4xCCOnXq2IMAiSlcqIUQld5A3OmmSf/Sa6uHkFi2Whp6c5IS0s9tBUY1I8M2vMlT9PrZas7oMCp30L+i16hRw63nuBPb7+KyZcsS3N+eaHO5cuXM48GDB11+7GzZspnHf//9N959Nm7cmKhjarbTyJEjzdAb2/X0VY6BWi1mbaNZI7bfofiKReuwxMR8r2hQS+vC/PLLL+Y7VANA+t3kDragj9aNshWWBQC4F4ESAPAh+g/qvXv33nU/nVHE5r777rM/b926tWTOnNkENDRVPWYKenzatWtnHrUughZbjUmPpwVmlRaR1SWxunTpYm5O9K++thl04qNFG69cuSLuoH89fu211+Tnn382P7/wwgtSsmRJ8SS9CbTd+GptBs0cuJOkZj/YMo8WLlxoFnecIz6dOnUyQSjNQrpbf3uyzZpBoGIWQnYF22xOOmNTXHV4fv31V3vtkZhstVnuVufC3993/+lnmwnKMXir9DvNNpQrrqwP/X4aOHBgvMe907XVIIlt+Jq7rq0tOGb73QMAuJ/v/t8SACxo586dcs8995iZH2bMmOGU4q7p5zojhqada8FDpX99r1u3rlMB2NGjR5vnOib/ySefdJoqUwtf6l9Qn3jiCadaB1oU1jazQ5s2bcwNi604oQZvdLvtBs92/MTSv4zrtMe2Y+jUt1ojwPFmR9uqARkNXMSc4jM5NGCkRW8nTZpkAku266d/UR4/frx4w4gRI0xNBQ0c6RS7OsORTu3s+Ff077//3vRh+/btk3QOzZTRujb6/vU4w4cPdyokqzfzOr1ujx49pHjx4uJK2oc6nMHW31p/QvvARn//bL+jnmyzbZiVDu1JSCFdvcnWPrrTYstk0M+O3mxrcEj7zJYhobU0NLip7ye+2XZ0mmd9vfa5Y7FkDRhqzRL9PlD63eBrtF7MuHHjzGdCFS1a1BSSdcygs2Wk6dToGnDSoq1Kv0MeeeQRk0XnmIUSc0jPm2++aWZUcgya6LAmrQuj34vab1pA1p2BEq0xAwDwkCgAgM9YvHixpoA4LWnTpo3Knj17lJ+fn9P6++67L+r48eNxHmfEiBFR/v7+9n2Dg4PNMRzXhYaGOr3m2LFjUeXLl3c6b9asWe0/62vHjx8f5/mKFCli9pk2bdod39+tW7eiBg0a5PRetG05cuSICggIcHp/a9euTdS103PbXpszZ86oPHnymEXfd8xjZ8qUKWr48OFRERERcR7r0KFD9n31eUwNGjQw295+++1425OQa7Jr166o0qVLO11jbW+GDBmc2vvwww8nqn2OLl68GPXoo486HS9z5symbx37IU2aNEl6Dx07djT76GNMN2/ejOrRo4fTuTNmzBiVLVs2+7mzZMni0jYnROXKlc3rJ02aFO8+tveekGXs2LH21w0ePNhpm74/bac+b9GiRdRbb71lnuvvUFzX0fE6OX7+dKlbt27UlStXEnz9Y3429D15Q3yfTdvn07FPCxcuHLVjx45Yx9i8ebPT5yJdunTmc2z7PZgxY0a8v6+O11A/Y/r7FxQUZF+n53fsw5ivW7lyZbzv7W7fBXv27LF/n4aEhCTp+gEAEo+MEgDwIfoXTf2ru2Y56DAazS7R1HAtPKizNJQqVcr81VkLPer0nLZZHmLSv55qirrjsBIdzqKv1790a2FETWd3pFMD619lNduiVq1aJtVf/9KqM288++yzsmXLFunVq1ey3p+mz2vGiM428/LLL5v3p2nvWuBS6ztoXQvNQtApSW1/QU4K/Su/bYYO/Wu/FlCsWrWqPP/88+Yv+1q/RVP1bcU3vUXfv16Lzz//XBo3bmymOtVMC71H037T3wHNgtFZT5JK+1nrfegwFp1JpXDhwuav6tq32ud6Xq2B4VgU2FW0b7X4ptaP0L/c67k1U0nfn9YK0f7QDApPt1mLpaqvv/5a3FH7RrOD9DOkGQ461KtKlSomK0Q/d/HNUqTZVjr1t2ad6HS5+rup2SRaOLlRo0ZmphetExRf1kRq4fjZ1EV/37WIr2b66HePZtXpLDQx6edXh0vp959+TjSjRKft1Z/1+0K/o+Kjwwn1O7FevXrm+0wzfJR+xjRDT79L+/Tp45b3a/sd036lkCsAeI6fRks8eD4AAIBUTYc4FSxY0Dzq0DLH2VYAV9F/omtw+sCBA7J69WpqlACAB5FRAgAAkAiaiaBT7uqNrBbTBdxBM8E0SKKZghRyBQDPIqMEAAAgkXRIVunSpc3wDy3qqUMyAFfRoUEVK1aU3bt3m8LU+hwA4DneHVwNAACQCgUFBZmZZLTuh07PTKAErqQzNWmNoWLFihEkAQAvIKMEAAAAAAAgGjVKAAAAAAAAohEoAQAAAAAAiEagBAAAAAAAIBqBEgAAAAAAgGgESgAAAAAAAKIRKAEAAAAAAIiWxvYEsIq8efNKWFiYFC5c2NtNAQAAACzv6NGjkiFDBjl16pTlrwVSBgIlsBwNkoTfuCZXIk57uykAgGQ6f/0m19Bisgfxz1cr4TNuDVevX5VrN697uxmAHf+ngeVoJokGST5f1sXbTQEAJNPHf57kGlpMz3vzebsJ8CA+49awutcCbzcBcEKNEgAAAAAAgGgESgAAAAAAAKIRKAEAAAAAAIhGoAQAAAAAACAagRIAAAAAAIBoBEoAAAAAAACiESgBAAAAAACIRqAEAAAAAAAgGoESAAAAAACAaARKAAAAAAAAohEoAQAAAAAAiEagBAAAAAAAIBqBEgAAAAAAgGgESgAAAAAAAKIRKAEAAAAAAIhGoAQAAAAAACAagRIAAAAAAIBoBEoAAAAAAACiESgBAAAAAACIRqAEAAAAAAAgGoESAAAAAACAaGlsTwBYy/mQK/Lj1C2yZ9tJ2bf9lFwLi5BR37aVSrULe7tpcAP621rob2upnLOcNCxUR8rlKC05grLLhfCL8teZXTLzn7kSGn7R282Di/H5thY+34B3kFGSiv3xxx9Sp04dyZAhg/j5+UmLFi3Mo6sNGTLEHPfs2bMuPza859iB8/LdZ5vk3OkrUrRMLrrCx9Hf1kJ/W0un8m2lYs57ZP2JLTJp+1fy27ENUq9ATfnogeGSNV0WbzcPLsbn21r4fAPeQUZJKhURESGtW7eWoKAgGTt2rKRPn94ETgCb19vOkjwFM8trHzwS50UpWTGvzNnWUzJlDZY1C/fIPy//xMVLxehva6G/rWVk3QFy+upZGbd1Upzbp+z4Rnad2ytREmVftyXkbxlV7y15tHgjk1mC1IPPt7Xw+QZSJgIlqdSBAwfkyJEjMnnyZOnatatZ165dOxk1apS3m4ZUIn3GtN5uAjyI/rYW+ttadp7bE+e6SzcuS6FM+b3SJrgPn29r4fMNeAeBklQqJCTEPGbNmtW+Lk2aNGYBAADWFhSQToIDguRS+GVvNwWAi/H5BtyPGiWpUKdOnaRBgwbmuQ6/0fohDRs2tNcScdxPf45r0X1V0aJF491n1apVTufVGiVt2rSRzJkzS44cOaR3795y/fp1+/bDhw+b102fPj1Wmx3PadsvvkXpMeLbru8VAADE74kSTSUwIFDWHN/IZQJ8DJ9vwP1IP0iFunfvLgUKFJARI0ZIr169pHr16pInTx5Zt25drP0efvhhp3WLFy+Wr7/+WnLnzm1+HjdunFy5csVpH615sm3bNhMMcaRBEg2sjBw5UjZs2CAfffSRhIaGyowZMxLV/ly5cslXX30Vq+bKq6++KmnT3h4OUr9+/Vj76FCjt956y952/OdmRKSEXQ53uiSRNyMl4kakXDx/1Wm91iTx93d90V94Dv1tLfS3tQT4BUiGwOBY6wL900jmtBmd1l++EeZUl8SmfI4y0r5sC1PU9e+zu9zeZiQdn29r4fMNpB4ESlKh2rVrS3h4uAmU1KtXT1q1amXWxwyU6H662Ozfv1969uwpjRo1MkEUpTPlOPruu+9k69atMnToUKlYsaLTtmLFisn8+fPN8x49epjMkokTJ0q/fv2kUqVKCW6/ztLzzDPPOK3T42nAZtmyZebn4sWLm8VGM1fq1q0r+fPnNwGahChfvny89V3yFHb+x2Zqt2vzcenffnbsDVtOyOoFu51WTV/TTfIUYhaE1Iz+thb621rK5SglI+sOjHNbg4L//T9ddVn6qoRcdZ6RrmDGfDKwZm85cumYTNj2hVvbiuTj820tfL6B1INAiUWEhYXJk08+KdmyZZNvv/1WAgICYu2za9cu6dKlizzxxBMmcyMmDWY4euWVV0ygZOHChYkKlMSkGSl6nA8++EAeeOCBOPd5+eWXZfv27bJ69WrJmzdvks/lq4qVyy0jZrZ2Wjd5+CrJliuDtOpe3Wm9rkPqRn9bC/1tLQcvHpWB695zWte1QgcJvX5Bvt+/0Gl96PWLTj/nDM4uQ+u8LlcjrsmQ9e/LtZv/DY9FysTn21r4fAOpB4ESi3jhhRdMJsXvv/8ea0iNunTpkrRs2dIM6dHAhWOtE5tSpUo5/VyiRAnx9/c3NUeSSof4vPjii9K+fXvp27dvnPt8/vnnMm3aNPNYq1atBB97586d8WaaXIk4Lb4kU5YgubduUad1GbMESfbcGWKtR+pHf1sL/W0tYRFX5a8zzv//uhIRJufDL8Za7yhTYEYZVud1CfQPlP5rhklouHMQBSkTn29r4fMNpB4ESixg/PjxJotk5syZUqVKlTj30cKvJ06ckE2bNpkhNQkRM5gSV3BFRUZGxrle65s89dRTUrp0aZkyZUqc+2h7tGisToHcrVu3BLULAAArSReQTobU7ic5grLLm2tHyIkw3/pjAGBlfL4B7yBQ4uPWrFljaoj06dNHnn766Tj3ee+99+THH3+UefPmSdmyZeM91r59+0ydEseaJ7du3TIFXpUO61EXLlyIVYQ1Jn2dtkf3Xb58uaRPnz7WPmfOnDH1VzS488knnyTiXSOhvp2w/nYf7b09xn3FD7tk5+bj5nn7V5zHwiP1o7+thf62jn7VXpIy2UvI0iOrpVCm/GaxuR4ZLhtObvFq++B6fL6tg8834B0ESnzYyZMnzUw1WgR1zJgxce6jQQqtRzJw4MBYhV1j0mBF48aN7T9PmDDBPDZr1sw8aiZKzpw55bfffjOBGRutPxLTO++8I0uWLJFFixY5BV8cs1DatWsnN27ckO+//94+Gw5ca8YHa51+Xjpnu/05gRLfQ39bC/1tHcWzFDaPjYs0MIuj01fPECjxQXy+rYPPN+AdBEp8mE4drFkZr7/+usyaNctpmxZf1UVrg+h0vVp/RIfmONLZcXTaYZtDhw7J448/Lk2bNpX169eb/Tt06CCVK1e276NDZDRDRR+rVatmgiZ79+51Oq4WZR02bJiZAjgkJCTWeXVGnM8++0x+/fVXU79k5cqVTtu1Tdo23Nno2e3ueokWHf4fl9FH0N/WQn9biw6nuZPnl8Zd4wupE59va+HzDaRMBEp8mAZJNDMjriKpb7/9tgmUnD17e8hFx44dY+2jAQrHQMns2bNl8ODB8sYbb0iaNGnMVMMxM1V0u5537ty5MmfOHJNtolkjuXPntu9z7tw5iYqKMjPY6BKTBkr0GEoDJro4atCgAYESAAAAAIBb+EXpHStgIbZZbz5f1sXbTQEAJNPHf57kGlpMz3vzebsJ8CA+49awutcC83j5qHOtQ8Bb/L12ZgAAAAAAgBSGQAkAAAAAAEA0AiUAAAAAAADRCJQAAAAAAABEI1ACAAAAAAAQjUAJAAAAAABANAIlAAAAAAAA0QiUAAAAAAAARCNQAgAAAAAAEI1ACQAAAAAAQDQCJQAAAAAAANEIlAAAAAAAAEQjUAIAAAAAABCNQAkAAAAAAEA0AiUAAAAAAADRCJQAAAAAAABEI1ACAAAAAAAQjUAJAAAAAABANAIlAAAAAAAA0QiUAAAAAAAARCNQAgAAAAAAEI1ACQAAAAAAQLQ0tieAlWQMzChNCjf1djMAAMnUpDCXEPBlfMatocLANd5uAuCEjBIAAAAAAIBoBEoAAAAAAACiESgBAAAAAACIRqAEAAAAAAAgGoESAAAAAAAs5sMPP5SWLVtKqVKlJEuWLJIuXTopUqSIPPfcc7J9+3axMr+oqKgobzcC8KTy5cuLSJjs2DGVCw8AAAB4WYUKXczjzp2Hvd0US8mZM6eEhYVJpUqVpECBAmbdzp07Ze/evRIYGCjz5s2TRx99VKyI6YEBAAAAALCY+fPnS9WqVSUoKMhp/cSJE6VHjx7StWtXOXbsmKRJY72wAUNvAAAAAACwmPvvvz9WkES9/PLLUqJECTl9+rTs2rVLrIhACQAAAAAAsAsMDDSPadOmteRVIVACAAAAAACMr776Svbs2WOKvOpiRdYbbAQAAAAAAIwxY8aYIq5a2PWff/4xz/Pnzy/ffvutBAQEWPIqESgBAAAAACAJHn/8cTlw4IDHr93Ro0elcOHCcW7TQEdiLFmyRFasWGH/uUiRIjJjxgxT6NWqCJQAAAAAAJAEGiTZtfsfkSyxi6K6zcXrki7QdbVDli9fbh4vXLgg27dvl6FDh0qDBg1k+PDhMnDgQLEiAiUAAAAAACSVBknaVvLc9Zv9t5TIVyzRmSN3kzVrVqlXr54sXLhQateuLYMGDZLGjRtL9erVxWoo5goAAAAAQDL4+ft5bPHEjDdt27aVqKgoWbBggVgRgRIAAAAAAGCXM2dO83jmzBlLXhWG3gAAAAAAkFR+tzNKPCXKA6davXq1eSxRooRYERklAAAAAABYyLp162Tx4sVy69Ytp/UREREyYcIE+eqrryQ4ONgMwbEiMkoAAAAAALCQffv2SefOnc0QG50GOEeOHHL27Fkz683JkyclKChIpk+fLoUKFRIrIlACAAAAAEAyeHLojSvo9L8DBgwwQ2z+/vtvEyRJmzatFC1aVFq1aiW9evWSkiVLilURKAEAAAAAwEKKFSsm7777rrebkWIRKAEAAAAAwEIZJbgzirkCAAAAAABEI1AC+Ljw8BvSv/8kKVCgjaRP30xq1eohy5Zt9naz4Cb0t7XQ39ZCf1sL/W0t9Hdq5yd+fp5bzHzEcCsCJXCLw4cPmw+xVkqGd3XuPFrGjp0rHTo8JOPG9ZCAAH9p3nyArF27na7xQfS3tdDf1kJ/Wwv9bS30N5Cy+EVFRUV5uxFI2RYuXCibNm2SIUOGJCpQogWCpk2bJp06dZKUpHz58iISJjt2TBVft2nTbpNBMnp0d+nXr41Zd/36DalY8XnJnTurrFs3wdtNhAvR39ZCf1sL/W0t9Le10N8iFSp0Mddi587DktrovcWuU4clsON9HjtnxJdbpVzeorJz506PndNqyChBggIl77zzTqKuVJEiReTatWvy7LPPcoW9aO7c1SaDpFu35vZ1QUFppUuXZrJ+/S75998Q+seH0N/WQn9bC/1tLfS3tdDfqZ+OhtFirh5bGHnjdpYOlISFhUlKktLakxQ3b96UGzdumGE3QUFBEhAQ4O0mWdq2bfuldOmCkjlzBqf1NWqUtW+H76C/rYX+thb621rob2uhv4GUxzKBEh02ojfvu3btkg4dOki2bNmkbt26ZtvMmTOlatWqEhwcLNmzZ5d27drJv//+a39tz549JWPGjHL16tVYx23fvr3kzZtXIiMj7esWLVok9erVkwwZMkimTJmkefPmsdKidDiKHvPAgQPyyCOPmP2efvpps23fvn3y1FNPmeNqsKFgwYKmTRcvXnQ6xt3anRAREREmW6RUqVLmXDly5DDXZdmyZfZ2fvLJJ+a5cwGh/+qQvP/++zJu3DgpUaKEpEuXzlzjuGqU2N7z8ePHpUWLFuZ5rly5pF+/fk7XT507d85ko2TOnFmyZs0qHTt2lL/++ou6J4l08uR5yZcvR6z1+fJlN48nTpxL7CGRgtHf1kJ/Wwv9bS30t7XQ377BkxklcL80YjGtW7c2QYERI0aIlmd59913ZdCgQdKmTRvp2rWrnDlzRiZMmCD169eXP//809ykt23b1gQLfvnlF/N6Gw2cLFiwwAQAbJkTX331lbmpb9KkiYwaNcrs8+mnn5rggx6vaNGiTtkXup9u02BD+vTpTTaGrgsPD5dXXnnFBEs0sPDzzz/LhQsXJEuWLOa1CWl3QgNII0eONMeoUaOGXLp0STZv3ixbt26VRo0aSffu3eXEiRMmcKLvLS5ah+T69evSrVs3EyjRoM2tW7fi3FcDIvr+atasad7z8uXL5YMPPjBBlpdeesnso6997LHHTF0UXVe2bFmZP3++ua6Jr0USmwanSpTIK1Zw7Vq4pEsXGGu9Dr+5vf2GF1oFd6G/rYX+thb621rob2uhv4GUx3KBksqVK8s333xjnh85csTcoA8fPlwGDBhg36dly5Zy7733ysSJE816DWQUKFBAZs+e7RQo0cCJDpfRQIq6cuWK9OrVywQdJk2aZN9Pb/DLlCljgjOO6zUYosfTQIXNtm3b5NChQ/Ldd99Jq1at7OsHDx5sf67tfvvtt+/a7oTQ96AZLY7tclS7dm0pXbq0CZQ888wzce5z7Ngx2b9/v8kOsdGMkrhoQEWvlwZ51Isvvij33XeffPHFF/ZAyY8//ijr1683WSq9e/c263SbBm6QOMHB6SQ8PCKOfrgdIAkOvh0wgW+gv62F/rYW+tta6G9rob99A5kevsUyQ29s9MbcZt68eSZ7QbMyzp49a180i0OzTlauXGn20yEkGtDQoqYaDLHRwIkGUGxDeDSYoFkfOhzH8XiabaIZFLbjObIFB2xsGSNLliyJc6hPYtqdEJp5osOCdLhPUukwIccgSWL6QOkwpYMHD9p/Xrx4sQQGBsoLL7xgX+fv7y89evRIVLv0fcW1aHDMKnSIzcmT5+JM8VT588celoPUi/62FvrbWuhva6G/rYX+BlIeywVKdMpaGw0O6PAbDS7ojb7j8s8//0hIyH8zgmgWhM7i8tNPP5mfNWCigRMNoNhqdtiCDQ8++GCs4y1dutTpeCpNmjSm/kjM9vXt21emTJkiOXPmNMNUdNiPY32SxLT7boYOHWqCO5o1UrFiRfnf//4nf//9d5Kv6d1oHZSYQRWtFxMaGuqUMZMvXz4zFMlRyZIlE9UuaAZVSdm795hcuuRcKHjjxn/MY5UqXFNfQn9bC/1tLfS3tdDf1kJ/+wAPz3qj54N7WS5QooVPbTQrQ4McmsGg2SAxl88//9y+b61atUx9kTlz5piftTaJBk5sw25sx1NayyOu42mdDUdaz0MzJWLSmh0arNDhM3oOHc6j9TZ0iEti2303WtNEa3ZMnTpVKlSoYAI0OhRGH5NyTe+GWXA8q1Wr+hIZeUsmTfrFvi48/IZMn75Eata8RwoVyu3hFsGd6G9rob+thf62FvrbWuhvIOWxXI0SRzoEQzMzNCNCMyruRoe6jB8/3hQ81WE3GjjRAIrj8VTu3Lnl4YcfTlbbNLtDl7feekt+//13uf/+++Wzzz4zdUkS2+670eKrnTt3NotmymjwRIu8aq0VZcuY8ZQiRYqY4UM69Mgxq0TroCBxNBjSunUDGTBgioSEhErJkgVkxoylcvjwKZkypR+X08fQ39ZCf1sL/W0t9Le10N9AymO5jBJHWvxUMxx0elwNPDjSn3WKWkeaPaIFWL/88kuTzaGBE0c6TEans9WirTrtbkw6M83daBBGZ8NxpAETzTzRcyel3XcSc1+dsleHuNjOpXSaY6VDdDxBr6Nev8mTJ9vXaRaNbZpiJM6XX74hvXs/JTNnLpfevT+WiIibsmDBu1K/fiUupQ+iv62F/rYW+tta6G9rob9TP6YH9i2WzyjRDI0333zTzNLSokULyZQpk5l15ocffjDT3fbr999f3XVIigYRBg4caAIJjsNulAZJdCrgZ5991uzbrl07U4/j6NGjZnYZzQr5+OOP79ghv/76q/Ts2dPUPtFsEQ2a6FAeDYxo0VSV2HbfSbly5aRhw4ZStWpVk1miUwPPnTvXtMFGtykdAqRBDG2Lvjd30fejUxW/9tprJotEpwfW2jDnz5/3SoZLaqdTAY8Z090s8H30t7XQ39ZCf1sL/W0t9DeQslg6UKLeeOMNE5AYO3asydBQhQoVksaNG8vjjz8ea38Njrz77rsmYKLBkJg6dOgg+fPnl/fee0/GjBljAio6M47O7KJDWxIyfbEGI7QGyvHjx83QE123aNEip2E+iW13fDT4oUEILTarbdVhLxqE0aKuNprB8sorr8isWbNk5syZJmvFnYESDcRoYEmnBtbsHc2mefLJJ82UyBps0oKwAAAAAJAyRBdZ9eD54F5+UTHHbgAp1I8//mgCJmvXrjUBk6TSwrgiYbJjx1SXtg8AAABA4lWo0MU87tx5ONVdPr23+CfkiKR/qabHznn1041yT+4isnPnTo+d02osn1GClEln+3GcTScyMlImTJhghjfFlckDAAAAAN6glQE8mVFCJQL3I1Diw4GGixcv3nEfrUmSNm1aSYl0qI++h9q1a5shQfPmzTOz/2ih3MRMRwwAAAAAQGIQKPFROn3x3Wqi6BS8Wsg1JXrwwQflgw8+kJ9//lmuX79uasJoRoljkVkAAAAAAFyNQImP0oKwy5Ytu+M+WiQ2pdKiuLoAAAAAQErHzJy+hUCJj8qXL59ZAAAAAABAwhEoAQAAAAAgGTw7PTDczd/tZwAAAAAAAEglyCgBAAAAACCpPDw9sJ4P7kVGCQAAAAAAQDQCJQAAAAAAANEYegMAAAAAQDJQzNW3kFECAAAAAAAQjYwSAAAAAACSzM/DGSVUc3U3MkoAAAAAAACikVECAAAAAEAS+Xl4emA9H9yLjBIAAAAAAIBoBEoAAAAAAACiMfQGAAAAAIBkYHpg30JGCQAAAAAAQDQySgAAAAAASAYySnwLGSUAAAAAAADRyCgB4POWHF3s7SbAgxofDOd6W4hfwye83QR4GN/pgO+5EnFFUjUPTw+s54N7kVECAAAAAAAQjUAJAAAAAABANIbeAAAAAACQDH5+jIfxJWSUAAAAAAAARCOjBAAAAACAJPPz8PTAZK+4GxklAAAAAAAA0cgoAQAAAAAgGfkdnswoIZ/E/cgoAQAAAAAAiEZGCQAAAAAASeXn2YwSUkrcj4wSAAAAAAAAAiUAAAAAAADOGHoDAAAAAEAy+DNWw6fQnQAAAAAAANHIKAEAAAAAIIm0jGuAH9MD+xIySgAAAAAAAKKRUQIAAAAAQFL5iQQwPbBPIaMEAAAAAAAgGoESAAAAAACAaAy9AQAAAAAgiSjm6nvIKAEAAAAAAIhGRgkAAAAAAMkQQAqCT6E7AQAAAAAAopFRAgAAAABAEvmJnwT4aaUSz50P7kVGCQAAAAAAQDQySgAfFx5+QwYPni4zZy6X0NDLUqlScRk2rLM0alTN202DB50PuSI/Tt0ie7adlH3bT8m1sAgZ9W1bqVS7MP3gA06eC5OPvt8mm3afks17QuTKtQhZ8WFLaViloLebBhfi+xyK73Nrob8B7yCjBPBxnTuPlrFj50qHDg/JuHE9JCDAX5o3HyBr1273dtPgQccOnJfvPtsk505fkaJlcnHtfcyef0Nl9KwtcvxsmFQslsPbzYGb8H0Oxfe5tdDfqYcOvfHUAvcjUJKC/f777zJkyBC5cOGCt5uCVGrTpt0ya9ZKGTGiq4wZ0126dXtUVqz4QIoUySP9+0/ydvPgQq+3nSUfvLYw3u0lK+aVOdt6ypSVXeXJrmQT+ZqqpXPLmR+7ye4Zz0mf1vd6uzlwA77PrYPvc2uhv4GUiUBJCg+UvPPOOwRKkGRz5642GSTdujW3rwsKSitdujST9et3yb//hnB1LSJ9xrSSKWuwt5sBN8mUPq1kzxzE9fVhfJ/Dhu9za6G/UwdN8gjw9/PYQlKJ+xEoAXzYtm37pXTpgpI5cwan9TVqlLVvBwCkfHyfAwDgOQRKUigdcvO///3PPC9WrJj4+Wnk0E9atmwp9913n9O+jz32mNn2008/2ddt3LjRrFu0aJF93cGDB6V169aSPXt2SZ8+vdSqVUt++eWXRLdt8+bN0qRJE8mZM6cEBweb9nXp0sW+fdWqVebc+ujo8OHDZv306dPt6zp16iQZM2aUo0ePyqOPPmqeFyhQQD755BOzffv27fLggw9KhgwZpEiRIvLNN98kur1WdvLkecmXL3a9gnz5spvHEyfOeaFVAIDE4vscAFK2AD/PLXA/Zr1JoTQgsnfvXvn2229l7NixJiihjhw5IvPnz5dLly5J5syZJSoqStatWyf+/v6yZs0aefzxx81++lzX3X///ebn06dPS506deTq1avSq1cvyZEjh3z55Zdm/7lz58qTTz6ZoHaFhIRI48aNJVeuXPLGG29I1qxZTQBk3rx5SX6vkZGR0qxZM6lfv76MHj1avv76a+nZs6cJjgwcOFCefvppcz0+++wzee6556R27domOHM35cuXj3P9gQMHpESJvGIF166FS7p0gbHW6/Cb29tveKFVSK6bEZESdjncaV3kzUiJuBEpF89fdVqvw238/fk/KpDa8X3um/g+txb6G0g9CJSkUJUqVTKZIxooadGihRQtWtSezfHWW2+Z4IgGF3bs2CGhoaEmU0SDIzb6vHLlyiaYot577z0TLNH1devWNeteeOEFc56+ffvKE088YQIrCamboudbunSpVKv2X0HI4cOHJ/m9Xr9+XZ555hl58803zc8dOnSQ/PnzmywVff9t27Y16xs1aiRly5Y1AR7NuMHdBQenk/DwiDiu+e0ASXDw7YAJUpddm49L//azY2/YckJWL9jttGr6mm6Sp1AWzzUObnUjIlLOX77utC5XlmBTiwi+je9z38T3ubXQ30DqQaAklbn33nvN8JTffvvNBEo08FGwYEGTaaFZF5oxosNh1q5da4IPNgsXLpQaNWrYgyRKj9OtWzcToNi1a5dUqFDhrufXDBL1888/m0BMYGDsbIWk6Nq1q9M5ypQpI/v375c2bdrY1+s63aZDiBJi586dd8g0CRMr0CE2x4+fjTOFW+XPzzSiqVGxcrllxMzWTusmD18l2XJlkFbdqzut13XwHb/vPCkP9XXO4DvwTScpmvd2UBy+i+9z38T3ubXQ375Lc3e1yKonzwf3IlCSygQEBJihJ7bsEX2sV6+eCYDoEJYNGzZInjx55Pz582a9jQ7ZqVmzZqzj3XPPPfbtCQmUNGjQQJ566ikzG48OCWrYsKHJeNEskHTp0iXpPQUFBZmhPI6yZMliAkBa0yTmes1oQcJUrlxSVq7cJpcuhTkVdN248R/zWKVKSS5lKpQpS5DcW/d2lplNxixBkj13hljr4Vsql8gpS8a0cFqXN3t6r7UHnsP3uW/i+9xa6G8g9SBXNxXSoMgff/xhhqzYAiWaaaGBDv3ZFkRxDJS4igYutKbJ+vXrTR2R48ePmyEyVatWlStXrtj3iYsGcuIL/iRmvdZlQcK0alVfIiNvyaRJ/xXtDQ+/IdOnL5GaNe+RQoVycymBVCRbpiB5uGphpyUoLX/zsAK+zwEgZQvw8/PYAvfjX1cpWHwBBw2A3Lhxw9Tv0ECFLSCixVA1SKIZJaVLlzaPNjpjzJ49e2Ida/fu3fbtiaEz5ujy7rvvmplotODqrFmzzBCabNmymX0uXLjg9BrNWoFnaTCkdesGMmDAFAkJCZWSJQvIjBlL5fDhUzJlSj+6w2K+nbDePB7Ze3s41oofdsnOzcfN8/av1PZq25B87361yTzuPHx7aN3MZbtl3fYT5vnAZ2twiVM5vs/hiO9za6G/Ac8jUJKC6awvcQUcdAiN1gYZNWqUmerXNruLBkymTZtmskuaNm3q9JpHHnlExo0bZzJBdOiOCgsLk0mTJplCseXKlUtQm3TYix7fMYhTpUoV8xgeHm4Pumg2iNZR0WE5NhMnTkzilUByfPnlG1K48DSZOXO5hIZelkqVisuCBe9K/fqVuLAWM+ODtU4/L52z3f6cQEnqN3jaBqefpy3aZX9OoMQ38H0OG77PrYX+Tvn01sijNUpIKnE7AiUpmA5nUTpFbrt27Uxw5LHHHjMBFN2m9Uj0Z1vQQjNKNPihS8xhNzqVr2agaAFYnR5YAyw6e8yhQ4fk+++/T9CMN0pfowEPnU64RIkScvnyZZk8ebKZXUeDMbY6IjoLz4QJE0zbdD8t/qpTC8PzdCrgMWO6mwW+a/TsdnfdZ9Hh/3mkLfCOyF97cel9HN/n1sD3ubXQ30DKRKAkBatevboMGzZMPvvsM1m8eLHcunXLBDY0UKKBEA2UOM5ikzdvXilZsqSZLSZmoESH4ejUvv379zcBDK1volMDL1iwQJo3b57gNmkx102bNplhNjrdsAZFdDadr7/+WooVK2bfT88RERFh2q5FXnX2mjFjxiSoYCwAAAAApCYBZHn4FL8oKmPCYmzTA+/YMdXbTYGHLDm6mGttIY0P3h4GCGvwa/iEt5sAD+M7HfA93RtNdaqjltruLQ5fOibVP0z4H5+T64++v0jRzAVl586dHjun1TDrDQAAAAAAQDSG3sDuzJkz8U7hq9KmTWtqmwAAAAAAbvMTP88WcxXG+bgbgRI41US50xS+Wp9k1apVXDEAAAAASMWuXr0qS5cuNTUr165da+4DdeZSrXn51FNPSd++fSVjxoxiVQRKYKcFWa9duxbvFcmWLRtXCwAAAABiCEhlc/Z+88038sILL5jn99xzjzz++ONy6dIlMwHI22+/bWZMXb16teTOnVusiEAJ7O6//36uBgAAAAD4uMDAQOnWrZv06dPHBEpsTp48aWZF/fPPP802DahYEYESAAAAAACSSJNJPJlR4opTdezY0Swx5cuXTz755BOpU6eOzJs3T27cuGFqVVoNs94AAAAAAACjcuXK5jE8PFzOnTtnyatCoAQAAAAAABgHDx60D8+x6qynDL0BAAAAACAZAjycgnDgwAEpX758nNt27tyZrGOPHz/ePDZt2lTSpUsnVkRGCQAAAAAAkIULF8oXX3xhskmGDRtm2StCRgkAAAAAAEmktVU9WsxVREqUKJHszJGYdu/eLc8884xERUXJmDFj7LVKrIiMEgAAAAAALOz48eNmqE1oaKj07dtXevfuLVZGRgkAAAAAAMkQ4O+5jBJXO3/+vDRu3FiOHDkinTt3lvfff1+sjowSAAAAAAAs6MqVK9KsWTPZtWuXtGzZUiZPnix+HhxGlFIRKAEAAAAAwGLCw8PliSeekE2bNkmTJk3k22+/lYCAAG83K0Vg6A0AAAAAAEmkCRgeLebqglNFRkZK+/bt5ddff5V69erJvHnzJG3atK5onk8gUAIAAAAAgIV8/PHH8sMPP5jnOXPmlJdffjnO/d5//32z3WoIlAAAAAAAkAwBqayohc5uY2MLmMRlyJAhlgyUpLLuBAAAAAAAyaEBkKioqLsuRYsWteSFJqMEAAAAAIAk8hM/z9YoEWalcTcySgAAAAAAAKKRUQJLuhJxRZYcXeztZgBwg6XF03FdrYTvcsCnffznSW83AR5w/vpNrjNSFAIlAAAAAAAkQ4A/w2F8CUNvAAAAAAAAopFRAgAAAABAEmkdV48WcyV5xe3IKAEAAAAAAIhGRgkAAAAAAMkQQAqCT6E7AQAAAAAAohEoAQAAAAAAiMbQGwAAAAAAkkhrq3q0mKvHzmRdZJQAAAAAAABEI6MEAAAAAIBkCCDNw6eQUQIAAAAAABCNjBIAAAAAAJLB34M1SuB+ZJQAAAAAAABEI6MEAAAAAIAk0mQST9YoIXnF/cgoAQAAAAAAiEagBAAAAAAAIBpDbwAAAAAASAZ/arn6FDJKAAAAAAAAopFRAgAAAABAEmkyiUeLuXruVJZFRgkAAAAAAEA0MkoAAAAAAEgGf4qU+BQySgAAAAAAAKIRKAEAAAAAAIjG0BvAos6HXJEfp26RPdtOyr7tp+RaWISM+ratVKpd2NtNgxvQ39ZCf1sL/W0t9Le1VM5ZThoWqiPlcpSWHEHZ5UL4RfnrzC6Z+c9cCQ2/6O3mIRrFXH0PGSXwuK+++krKli0rgYGBkjVrVrOuYcOGZoHnHDtwXr77bJOcO31FipbJxaX3cfS3tdDf1kJ/Wwv9bS2dyreVijnvkfUntsik7V/Jb8c2SL0CNeWjB4ZL1nRZvN08wGeRUQKP2r17t3Tq1EmaNm0qb7zxhqRPn54ecJPX286SPAUzy2sfPBLn9pIV88qcbT0lU9ZgWbNwj/zz8k/0RSpGf1sL/W0t9Le10N/WMrLuADl99ayM2zopzu1Tdnwju87tlSiJsq/bEvK3jKr3ljxavJHJLEEK4Cfi0VquzA/sdgRK4FGrVq2SW7duyfjx46VkyZL29UuXLqUnPCx9xrRccwuhv62F/rYW+tta6G9r2XluT5zrLt24LIUy5fdKmwArIFACjwoJCTGPtiE3NmnTctMOAAAA3E1QQDoJDgiSS+GXuVgpSABZHj6FGiUecPz4cenSpYvkyZNH0qVLJ+XLl5epU6c6ZVn4+fnJnDlz5N1335WCBQtKUFCQPPTQQ7J//377fj179pSMGTPK1atXY52jffv2kjdvXomMjExUu55//nnJnz+/aVexYsXkpZdekhs3btj3OXjwoLRu3VqyZ89uhsnUqlVLfvnlF6fjJLT9RYsWlbfffts8z5Url3nNkCFD4q1RcuTIEXn88cclQ4YMkjt3bnn11VdlyZIl5nV6TgAAAMBqnijRVAIDAmXN8Y3ebgrgs8gocbPTp0+b4ILe3GugQwMEixYtMgGKS5cuSZ8+fez7vvfee+Lv7y/9+vWTixcvyujRo+Xpp5+WjRtvfwm2bdtWPvnkExOo0OCFjQZOFixYYGp/BAQEJKhdJ06ckBo1asiFCxekW7dupriqBk7mzp1rjqcZHtr2OnXqmJ979eolOXLkkC+//NIEL3S/J5980umYd2v/uHHjZMaMGfLDDz/Ip59+aoI+lSpVirN9YWFh8uCDD8rJkyeld+/eJgj0zTffyMqVKxN87TUgFZcDBw5InsIZxZfcjIiUsMvhTusib0ZKxI1IuXjeObCmNUn8PTqIEq5Gf1sL/W0t9Le10N/WEuAXIBkCg2OtC/RPI5nTOv/b9PKNMKe6JDblc5SR9mVbmKKuf5/d5fY2A1ZFoMTNBg4caLI8tm/fbgIN6sUXXzQZIJpN0b17d/u+169fl23bttmHoWTLls0ECXbs2CEVKlSQunXrSoECBWT27NlOgRINnGhgQQMpCfXmm2/KqVOnTBCjWrVq9vVDhw6VqKgoe+BDgyVr1qwx51YvvPCCCW707dtXnnjiCRMYSWj7W7RoYbZroKRVq1aSM2fOeNv3+eefm2yWH3/80ZxH6bW69957E/werWTX5uPSv/3s2Bu2nJDVC3Y7rZq+ppvkKUSV9NSM/rYW+tta6G9rob+tpVyOUjKy7sA4tzUoWNvp5y5LX5WQq2ed1hXMmE8G1uwtRy4dkwnbvnBrW5E4fuIn/n5+Hj0f3ItAiRtpwOH777+XNm3amOdnz/73ZdekSROZNWuWbN261b6uc+fOTrU66tWrZx41YKCBBs1K0QCJBhGuXLliMjKUBk40gGILZtyNFlPVAMRjjz3mFCSx0fOohQsXmqwTx+PqOTUDRQMtu3btMu1KaPsTY/HixeY9afaKjQ7n0UDNa6+9lqBj7Ny5M95MkysRp8WXFCuXW0bM/C94piYPXyXZcmWQVt2rO63XdUjd6G9rob+thf62FvrbWg5ePCoD173ntK5rhQ4Sev2CfL9/odP60OsXnX7OGZxdhtZ5Xa5GXJMh69+Xazeve6TNgFURKHGjM2fOmKEtkyZNMkt8xU0180IVLlzYaZttfWhoqH2dZo3oEJaffvpJOnToYAImGtDQbAtbgCMh7dJhP3cLXmiNkJo1a8Zaf88999i3Ox4jIe1PKD12iRIlYr0nx5ly8J9MWYLk3rpFnS5JxixBkj13hljrkfrR39ZCf1sL/W0t9Le1hEVclb/OOP8h70pEmJwPvxhrvaNMgRllWJ3XJdA/UPqvGSah4c5BFKQMFHP1LQRK3EgzN9QzzzwjHTt2jHMfHcaimRkqvvoitqEwSuudaFFULZyqgRKtTXLt2rVEDbtxl4S0HwAAAEDCpAtIJ0Nq95McQdnlzbUj5ESYb2VFAykVgRI30sKtmTJlMjVKHn744Xj3swVKEkqH8owfP95kheiwGw2caAAlMe3KnDmzqR1yJ0WKFJE9e2LP3b579277dnfRY+t10SCLY1aJ4yw6SL5vJ6w3j0f23h4WtuKHXbJz83HzvP0rzmNlkfrR39ZCf1sL/W0t9Ld19Kv2kpTJXkKWHlkthTLlN4vN9chw2XByi1fbh9v0bsWTcyVQocT9CJS4OcPiqaeeMrO12AqaxhwCo0GLxNLsEZ1RRmeg0VoeWjA1MbQAqxZWnTlzpmzevDlWnRJbcOKRRx4xw3zWr18vtWvfvmnWorE6jEiDM+XKlRN30Rouy5YtM0OMbMVctVjs5MmT3XZOK5rxwVqnn5fO2W5/TqDE99Df1kJ/Wwv9bS30t3UUz3J7aHvjIg3M4uj01TMESgA3IVDiZjpzjE5pq7U+tBCpBhfOnz9virguX77cPE+s++67z9Tq0Bl1wsPDkzTsZsSIEbJ06VJp0KCBKc6qdUd0Kt7vvvtO1q5dK1mzZpU33nhDvv32W2nWrJmZHjh79uwmOHPo0CFTpNZxxhtX05orH3/8sZkdSANB+fLlk6+//toUdFUJrcdiZaNnt7vrPosO/88jbYH70d/WQn9bC/1tLfS3tehwmjt5fmlfj7UFwH8IlLhZnjx5ZNOmTWba3Xnz5snEiRPNNME688qoUaOSfFwNjrz77rsmYKKBk8TSGWV0auBBgwaZAIQO49F1GhRJnz69ve2///679O/fXyZMmGAyOrSmitZFad68ubiTzq7z66+/yiuvvGKGGenPzz33nNSpU8dk6dgCJgAAAADgbQH8Iden+EVRaROpiA4FevXVV+XYsWMmsJMUtumBP1/WxeXtAwAAgOt8/OdJLqcFrO61wDxePnpBUhu9tzh77aS8OqeNx845ts0cyRmcT3bujH+2JCQPGSVIsXQ2n+DgYPvPmtHy+eefS6lSpZIcJAEAAAAAl/LzbDFXqrm6H4ESH3PlyhWz3IkWkI1vKt+UpGXLllK4cGGpUqWKXLx40RSf1Rl3dKgQAAAAAADuQKDEx7z//vvyzjvv3HEfLcaqs9akdDrzzZQpU0xgRKdY1kK4s2bNSlLxWgAAAABwB00mCWB6YJ9CoMTHaMHTunXr3nGfvHnzSmrQp08fswAAAAAA4CkESnxM8eLFzQIAAAAA8Ax/f660L6E7AQAAAAAAohEoAQAAAAAAiMbQGwAAAAAAklXM1XPVXD05E7FVkVECAAAAAAAQjYwSAAAAAACSwZ80D59CRgkAAAAAAEA0MkoAAAAAAEgiLU8S4MGMEg+WQ7EsMkoAAAAAAACiESgBAAAAAACIxtAbAAAAAACSgWKuvoWMEgAAAAAAgGhklAAAAAAAkAwBVFj1KWSUAAAAAAAARCOjBAAAAACAJPLzcI0SZgd2PzJKAAAAAAAAohEoAQAAAAAAiMbQGwAAAAAAkiGA8TA+hUAJLCljYEZpUript5sBAACAO2hSmMtjBRUGrvF2EwAnBEoAAAAAAEhWMVfPpZSQvOJ+1CgBAAAAAACIRkYJAAAAAABJ5efhGiWklLgdGSUAAAAAAADRCJQAAAAAAABEY+gNAAAAAADJ4MlirnA/MkoAAAAAAACikVECAAAAAEAS+Ymfh6cHJnvF3cgoAQAAAAAAiEZGCQAAAAAAyUCNEt9CRgkAAAAAAEA0AiUAAAAAAADRGHoDAAAAAEAy+PuRg+BL6E0AAAAAAIBoZJQAAAAAAJBEOjOwR6cHZnZgtyOjBAAAAAAAIBoZJQAAAAAAJAPTA/sWAiUAAAAAAFjMli1bZNmyZbJp0yazHD9+3KyPiooSqyNQAgAAAABAkvl5OKPENecaNmyYzJ8/3yXH8jUESgAAAAAAsJjatWtLpUqVpHr16mYpWrSohIeHe7tZKQKBEgAAAAAALKZ///7ebkKKRaAEAAAAAIBkDITx9+CEsswO7H5MDwwAAAAAABCNQAng48LDb0j//pOkQIE2kj59M6lVq4csW7bZ282Cm9Df1kJ/Wwv9bS30t7XQ36mfFnP11KIOHDgg5cuXj3NB8hEoSWGmT58ufn5+snlz8m9khwwZYo519uxZcXX7Dh8+bF/XsGFDs9zNqlWrzGv1EZ7TufNoGTt2rnTo8JCMG9dDAgL8pXnzAbJ27Xa6wQfR39ZCf1sL/W0t9Le10N9AykKNEi+ZOHGipE+fXjp16uStJsACNm3aLbNmrZTRo7tLv35tzLrnnmssFSs+b7JM1q2b4O0mwoXob2uhv62F/rYW+tta6G/f4NnpgUVKlCghO3fu9Og5rYSMEi8GSjQ7I7V59tln5dq1a1KkSBFvNwUJMHfuapNB0q1bc/u6oKC00qVLM1m/fpf8+28I19GH0N/WQn9bC/1tLfS3tdDfQMpDoASJEhAQIEFBQWYIjbeFhYV5uwkp3rZt+6V06YKSOXMGp/U1apS1b4fvoL+thf62FvrbWuhva6G/gZQnxQVKjh8/Ll26dJE8efJIunTpTDGaqVOnxqpzMWfOHHn33XelYMGC5sb9oYcekv37/7vp69mzp2TMmFGuXr0a6xzt27eXvHnzSmRkZKJqfezevVvatGkjmTNnlhw5ckjv3r3l+vXrTvtOmzZNHnzwQcmdO7dpf7ly5eTTTz912qdo0aImTWr16tXmuLrErPERHh4uffv2lVy5ckmGDBnkySeflDNnzkhSaI2SO7Vb641oG+LKcNH1+v7vVKMkLseOHZMWLVqYtuu1ePXVV817isvGjRuladOmkiVLFjMcqUGDBrJu3bo4+2DXrl3SoUMHyZYtm9StWzcJV8NaTp48L/ny5Yi1Pl++7ObxxIlzXmgV3IX+thb621rob2uhv62F/k79/ESLrPp7bNHzwUI1Sk6fPi21atUyN8Qa6NAgwaJFi+T555+XS5cuSZ8+fez7vvfee+Lv7y/9+vWTixcvyujRo+Xpp582N92qbdu28sknn8gvv/wirVu3tr9OAycLFiwwtUE0OyIxNNigQY6RI0fKhg0b5KOPPpLQ0FCZMWOGfR8Nimhw5/HHH5c0adKYc7388sty69Yt6dGjh9ln3Lhx8sorr5hAzsCBA806DQw50u0aDHj77bdNUEJfo9dk9uzZib6uCWm3K+nQHA1cHT16VHr16iX58+eXr776Sn799ddY++q6Zs2aSdWqVc171T61BZvWrFkjNWrUcNpf+7JUqVIyYsQIiYqKumM74qv4rBWiS5TIK1Zw7Vq4pEsXGGu9Dr+5vf2GF1oFd6G/rYX+thb621rob2uhv4GUJ0UFSjRooFke27dvN5kP6sUXXzQZIJpR0L17d/u+mhGxbds2SZv29g2fBhU0U2LHjh1SoUIFk21QoEABE1hwDJRo4ESHbGggJbGKFSsm8+fPN8816KEZGlprRIM1lSpVMus1SyQ4ONj+Gg1uaLbEhx9+aA+UaKbFW2+9JTlz5pRnnnkmznPp+1+6dKl9iIsGWjTAoUEhzbxwdbtdadKkSbJ3716T9WO79i+88IJUrlzZaT8NdGj/PvDAAyYgZnuv2s8a5NBrpNfAkR7jm2++cXmbfVVwcDoJD4+Itf769dsBkuDg258f+Ab621rob2uhv62F/rYW+tsH+Hm4mCsJJdYZeqM3zd9//7089thj5rkOF7EtTZo0MQGCrVu32vfv3LmzPUii6tWrZx4PHjxoHvWmW2/SFy5cKFeuXLHvp4ETDaAkZdiGLdDhmPWh9Bw2jkESbbO2X4eSaLv054Tq1q2bUx0QfX8aRDpy5Ihb2u1Ketx8+fJJq1at7Ot0SI2+J0ca6Nq3b58ZSnPu3Dl7f2sgSzNSfvvtNxMgcqSBlYTS4U1xLVoh2ip0iM3Jk+fiTPFU+fPHHpaD1Iv+thb621rob2uhv62F/oa3aBKBjuiwLTdu3P5jai2HdbqPFaWYjBKtv3HhwgWTjaBLXEJCQkzmiCpcuLDTNtt6HVJio1kjOmTlp59+MjfjGjDRm3jNWEhKMVId8uFIb7h1qIhjvQ6traFDSNavXx+rPkpiskES8v5c2W5X0mBOyZIlY13jMmXKOP2sQRLVsWPHeI+l18z23m3ZMUi4ypVLysqV2+TSpTCngq4bN/5jHqtUKcnl9CH0t7XQ39ZCf1sL/W0t9Ldv8PT0wK66B7eVrnC00WFdUutkpnYpJqPEljmgQ1GWLVsW53L//ffb94+vvohj3QqNgGltDh0CorReiNbPSMqwm7jEDARo7QvNhNCsCB1qo9E3bbcWMnV8jwmRkPfnqnbHFzRKaLHbpLJdjzFjxsTb51rHxZFjxg7urlWr+hIZeUsmTfovEhwefkOmT18iNWveI4UK5eYy+hD621rob2uhv62F/rYW+hveonU79f7yTkunTp0s2UEpJqNEC7dmypTJ3Jw//PDD8e6ns54ktpDp+PHjTTFYHXajgRMNoCSFZkA4ZjToLDt6s6/HtAVidGYXzWBxzAhZuXJlrGN5cnrdu7XblrGhGT2OkjLMRxUpUsTUitEPluP73LNnj9N+tiEwWjPlTn2OpNNgSOvWDWTAgCkSEhIqJUsWkBkzlsrhw6dkypR+XFofQ39bC/1tLfS3tdDf1kJ/AylPisko0QyKp556ytQp0ZvsmJKa8qPZIxq8+PLLL2Xx4sUmcJJUOouOowkTJphHnbXFMQvEMetDh47oLC4x6bS5MQMT7nK3dmugQgvLak0QR1rwNSkeeeQROXHihMydO9e+TochxRxSpTPdaLDk/fffd6ojY/U0L1f78ss3pHfvp2TmzOXSu/fHEhFxUxYseFfq13d9IV94H/1tLfS3tdDf1kJ/Wwv9nbr5RQ+98dSS+gb5pD4pJqPENuWvZl/UrFnTzJJSrlw5OX/+vCniunz5cvM8se677z5TL0Nn1NGASXKG3Rw6dMhM+6uz2GgNkpkzZ5raJ7bZXBo3bmwKzGpBWq2Dojf/kydPlty5c8vJkydjBQl0KuHhw4eb9uk+OiWuO9yt3apr167m+utjtWrVTNBEZ65JCu27jz/+WJ577jnZsmWLKeyq0wNrQVdHWidlypQpJmCjs9xogV4ttHv8+HHze6ABHM3SQfLoVMBjxnQ3C3wf/W0t9Le10N/WQn9bC/0NpCwpKlCSJ08e2bRpkwwdOlTmzZtnMhp0mly9iR41alSSj6vBkXfffdcEJDRwklQ6dGfw4MHyxhtvSJo0aczUv1pfw7FYqWZR6LS2OvVu3rx55aWXXjLDirp06eJ0LD2ODm0ZPXq0XL582cyM465Ayd3abWuPZnBo+7WmiwYvdMpeDeAklgZEVqxYYWbX0ewV/fnpp582x9RgjaOGDRua4M2wYcNMcEWDS3rdNFjmOB00AAAAAKRU/n4pZrAGXMAvyhXVQX3ckCFD5J133jGBBB2igtRNA28iYbJjx1RvNwUAAACwvAoVbv9ReedO98zK6e57i6s3Q+SrVS957JzPNvxU0qfJLTt37vTYOa0mRWWUAAAAAACQuviJv0crh1ClxN0sHSjRYR5xFRF1pMNmUmu745tiGAAAAAAAxM3SgRKdbUWH1NytEGpqbbdt+l8AAAAAAFKz8PBwM8FLunTpJHv27G49l6UDJTorS926de+4jxYW1RoluqS2dgMAAAAAPDM9sKdYbeDNpEmTzIyx27dvFy2x2rFjR5k69Xa9SZ0ERmd11UlSdPIWV7F0oKR48eJmSW1Sa7sBAAAAAEiIyMhIadWqlfz0008SGBgo99xzT6wCtpUrVzb7VK1aVQYOHCiuwhxGAAAAAAAk58baz99ji1V8/PHHMn/+fGnWrJkcOXLEZJTEVKJECZNJsmjRIpee2zpXGQAAAAAApArTp0+XPHnyyOzZs81jfMqVK2cCKa5k6aE3AAAAAAAki59na5RYpUjJnj17pHHjxpIhQ4Y77qfbz5w549Jzk1ECAAAAAABSlMDAQLl+/fpd9zt69KhkypTJpecmowQAAAAAgCRi1hv3KF++vGzZskUuX74cbyAkJCREtm3bJrVq1XLpuckoAQAAAAAAKcqzzz4r586dkxdffFFu3LgR56w4PXr0kKtXr5opg12JjBIAAAAAAJCidOvWTb777jv59ttv5ffff5cmTZqY9X/99Zf07t1bfv75Zzl06JCpY/L000+79NwESgAAAAAASDI/D0/ba41qrgEBAbJw4UJ57bXXZMqUKTJp0iSz/s8//zSLbn/hhRdk/Pjx4ufiYroESgAAAAAAQIoTFBQkn3zyiQwZMkRWrVolhw8fllu3bknBggXlgQcekPz587vlvARKAAAAAABIBo9OD2xBuXLlktatW3vsfBRzBQAAAAAAiEZGCQAAAAAAyZke2IN1Q6ySuzJ06NAE7Zc2bVrJkSOHVKlSRapXr+6ScxMoAQAAAAAAKcqQIUNiFWmNiooyj47rdZ3t5zJlypjCr3Xq1EnWuQmUAAAAAACAFGXatGmyceNG+eyzz6RIkSLy1FNPSeHChc22f//9V77//ntT3LV79+5SqFAh+e2332Tp0qVmGuE//vhDypYtm+RzEygBAAAAACAZKObqehUqVJCXXnpJBg8eLIMGDTLTATsaNWqUDBs2TN577z1Zs2aNDBgwQMaOHWumE9ZtGmhJKoq5AgAAAACAFGXw4MFSsmRJMwQnZpBE+fv7y9tvvy2lSpUy+6o+ffpI0aJFZeXKlck6NxklsKQrEVdkydHF3m4GPKTZe79xrS2keZNS3m4CAABIhKOXL6Ty6+Un/n6ezEGwRjnX9evXS7Nmze66X8WKFWXhwoXmudYq0UwUHYKTHGSUAAAAAACAFOXmzZumBsnd6D6RkZH2n9OlSydBQUHJOjeBEgAAAAAAkkgnXNEaJZ5aYkwE47OqVasmGzZskNmzZ8e7j27TzBPHaYGPHDkiefLkSda5GXoDAAAAAABSlLffflsefvhh6dChg0ydOlVatWplZrdxnPVm2bJlkiZNGrOvCgkJkT///FM6duyYrHMTKAEAAAAAAClKgwYNTMbICy+8YAIiy5cvd9oeFRUl2bNnl8mTJ0v9+vXtw3VmzpwpVatWTda5CZQAAAAAAJAMfh4t5modLVu2lEaNGsmcOXNk3bp1cvLkSbM+X758cv/990vr1q0lc+bM9v3z588vbdu2TfZ5CZQAAAAAAIAUKVOmTPL888+bxVMIlAAAAAAAkAz+zJPiUwiUAAAAAACAFOvy5cty4MAB86i1SeJiq1PiCgRKAAAAAABIIj/9z4M1SvR8VrFjxw7p06ePrFq1Kt4AiU1kZKTLzkugBAAAAAAApCj79u2TunXryqVLl0zhVi3keujQIWnXrp0cPHhQtm7dama5efzxxyVr1qwuPTeleQEAAAAAQIoyfPhwM9Rm2rRpsmbNGqlXr55Z//XXX8v69etl586dJpCya9cu+fDDD116bgIlAAAAAAAk58baz99ji1X8+uuvcs8990jHjh3j3F6yZEmZP3++nDlzRgYNGuTSc1vnKgMAAAAAgFQhJCREypUrZ/85MDDQPF6/ft2+TofcNGzYUH7++WeXnptACQAAAAAAyeAn/h5brCJ79uwSHh7u9LM6cuRInEEVV7LOVQYAAAAAAKlCsWLFnIIiVapUMTPfzJ49277u7NmzZkacwoULu/TczHoDAAAAAECS+Xm4dog1pgdu3LixKeiqwZIiRYrIY489Jjlz5pShQ4eaAq4FChSQefPmycWLF6Vnz54uPTeBEgAAAAAAkKI8++yzZujN6dOnTaAkQ4YMMmvWLGnTpo3MmTPHvl+jRo1k4MCBLj03gRIAAAAAAJKR3+HJ2iHWyCcRKVGihIwcOdJp3YMPPmgyTHS64NDQUCldurRUrVrV5ecmUAIAAAAAAFKFDBkySNOmTd16Doq5AgAAAACAFKV48eLSv3//u+735ptvmuwTVyKjBAAAAACAZPBsMVdrOHz4sJw5c+au++nMN7qvK9GbAAAAAAAgVQoLC5PAwECXHpOMEgAAAAAAksrPT/w8mVHiZ5Vyrnd269Yt2bNnj6xcuVIKFy4srkSgBLCo8yFX5MepW2TPtpOyb/spuRYWIaO+bSuVarv2SwYpQ72SVaRfo6fl3oKlJVemrHLh6hXZdmyvDFs4TX4/+Le3mwcXq5yznDQsVEfK5SgtOYKyy4Xwi/LXmV0y85+5Ehp+kevtY+hva6G/rYX+htUEBAQ4/fzll1+a5U6ioqKkW7duLm0HgRLAoo4dOC/ffbZJChTLJkXL5JJ/tp7wdpPgRqXzFDZR98/W/CCnLp2TbOkzyTM1mspvr30qzT95TZbs2sD19yGdyreVTGkzytrjm+RE2CnJmz63PFq8kdTIW0VeWfmWCZzAd9Df1kJ/Wwv9nXr4U9XCJQoVKiR+0RkzR48elfTp00vOnDnj3Ddt2rSSP39+efzxx6VXr17iSgRKov3xxx/Su3dv+euvv+Tq1avyxBNPyPz58010yqZo0aLSsGFDmT59uks7wRfodVGrVq3ydlMQ7fW2syRPwczy2gePxHlNSlbMK3O29ZRMWYNlzcI98s/LP3HtUrGVr06Uw+dOSucZw+Lc/sW6n8ziaOLq7+XgsHnS58G2BEpSmZF1B8jpq2dl3NZJcW6fsuMb2XVur0TJf/8P2xLyt4yq95YJmGhmCVIP+tta6G9rob8BZ45FWf39/aV169YydepU8TQCJSISERFhOiAoKEjGjh1rolYaOAF8WfqMab3dBHjZtYhwOXMlVLKmz+TtpsDFdp7bE+e6SzcuS6FM+bnePob+thb621rob1jZypUrJW/evF45N4ESETlw4IAcOXJEJk+eLF27djUXpl27djJq1CivdEpqtHTpUm83AUACZApKL2kDAiVnxqzyXK1mUrFASXl3EVlyVhAUkE6CA4LkUvhlbzcFHkB/Wwv9bS30d8qjA0U8WczVKqVcGzRo4LVzEygRkZCQEHMxsmbN+t+FSZPGLKllOqQMGTJ4tQ06PsyTrl+/bs6p6VgAEm5O13elafna5nl4xA357Ld5Mmyh59MZ4XlPlGgqgQGBsub4Ri6/BdDf1kJ/Wwv9Das5dOiQrFmzRk6ePCnh4eFx7qN1TQYNGuSyc1r+LrNTp072SJUOv9ELrPU2hgwZYi8icycXLlyQPn36mKIz6dKlk5IlS5pMFC2amFjfffedVK1aVYKDg03BmmeeeUaOHz8eq70ZM2Y0WTCPPPKIZMqUSZ5++mmz7dq1a6aIjb5W12tRG329vg99PzaaPfPyyy9LmTJlzLly5Mhh3rvjeDCltVj0tevWrZO+fftKrly5TEDmySeflDNnzjjtq9fMVqfEVs9FXxvX4ljHRNvXpUsXyZMnj7l+5cuXjzUGTffX182aNUveeustKVCggBkedenSpURfY191MyJSLp6/6rRE3oyUiBux19+69V/NAqROafwDJEeGLE5LYEAaSZcmMNb6mN9jb/w4URqN7yVdZgyXDYd2SNo0gZImRnVxpCwBfgGSOW1Gp0XXBfqnibXeL56/MZXPUUbal20hvx3bIH+f3eXx94CEo7+thf62Fvrbl/mJv5+/xxar5JTcuHFDnnvuOXOP3blzZ3nzzTfNfW18iyuljpQJN+revbu58R4xYoQJMlSvXt3ctGtw4G606KsGWfRmX4+jczf//vvvpgM12jVu3LgEt0ODEtr5ev6RI0fK6dOnZfz48aYdf/75p1O2y82bN6VJkyZSt25def/9903QwBZEmTNnjjz77LNSq1YtWb16tTRv3jzWubT+irZThxcVLFjQBEg+/fRTE+jYtWuX/Xg2r7zyimTLlk3efvtts6++r549e8rs2bPjfT+6z5UrV5zWaf2Xbdu2mcCM0veo7dQbOT2eBmIWLVokzz//vAmCaADK0bBhw0wWSb9+/Uwk8W5ZLBp0iYsGmfIUzii+ZNfm49K/fRz9seWErF6w22nV9DXdJE+hLJ5rHFzu/hKVZVXfiXGsryTtqzd2Wld04JNy5PxJ+89/Hdtnfz5z02LZOuBLmf7cIGk9eQA9lUKVy1FKRtYdGOe2BgVvZwfZdFn6qoRcPeu0rmDGfDKwZm85cumYTNj2hVvbiuSjv62F/rYW+htInMGDB8vMmTPNvbAmEZQuXdokBHiC5QMltWvXNjfdGiipV6+etGrVylyYhARKPvzwQ3PTrYGMUqVKmXUaMNEpisaMGSOvvfaayTRJSDHZ/v37S4UKFeS3334zRWWVBkIeffRRE2B455137PtrezUDRAMqNlu3bjVBEg0u6P5Ks0Y0+KIz+TjS4Intfdo89thj5lp8//33JtDiSAMbWoPE9pdpzZb56KOP5OLFi5IlS9w33C1atIiVLaNtHDp0qFSsWNGsGzhwoERGRsr27dvtwZMXX3xR2rdvbyKCei0148VxuM3mzZud1uG2YuVyy4iZrZ0ux+ThqyRbrgzSqnt1p/W6DqnbX8f3ycPjX3Fa98FTvcy0v2OWfe20XtfFJyLypvz09xp5o/FzEhSYTq5HxJ3KCO86ePGoDFz3ntO6rhU6SOj1C/L9/oVO60OvO0/7mzM4uwyt87pcjbgmQ9a/L9duXvdIm5F09Le10N/WQn/7Nj8hQ9fVvvnmGxMk0fvtIkWKiCdZPlCSHHrzr8EVzbY4e/a/v+A9/PDD8t5775mgh21YzJ3ozb/WSdHggC1IYgtolC1bVn755RenQIl66aWXnH5evHixPTgSMxsk5nTGjoEGDdJo9oamM+kvoQYzYgZKunXr5pS+r+9ZgzE6hKdSpUp3fX+apaLDa3TKZR06o3TaZQ3KtGnTxjx3vH6aLaPDbLQt999/v319x44dExUk2blzZ7yZJlciTosvyZQlSO6tW9RpXcYsQZI9d4ZY65H6Xbh6WVbsdp6ZK/TqZTl58Vys9XcTHJjO1PrRIq8ESlKmsIir8tcZ5++zKxFhcj78Yqz1jjIFZpRhdV6XQP9A6b9mmISGOwdRkDLR39ZCf1sL/Q0kjt4j672hp4MkikBJMuzbt0/+/vtvM2TkTkVi70YDDkprhsSkgZK1a9c6rdMiszpkJuYx9GanWLFiTus1ABKT1jLRbJRp06aZYUMaqLDRLJGYdEiRIw0MqdDQ0Lu+Nw3CtGzZ0gxvmjFjhj3gojVOtL7LpEmTzJKQ6xfzvQFIuFyZssmZy86f2SzBGeWpex+Qo+dPxdqG1C1dQDoZUruf5AjKLm+uHSEnwnwrOAxn9Le10N/WQn/Dyop4IUBiQ6AkGXQISqNGjeT111+Pc7uOoXIHLXqanNleNMtEgyQ6TEeH2+jwGQ1gaM2SuIrQBsRT6NExwBIfrZty4sQJ2bRpk2TOnNm+3nYeHWummSJxiZmtwpAb1/t2wnrzeGTv7YyeFT/skp2bbxcQbv+Kc+0DpG6Leo6VY6EhsvHwTgm5HCqFs+WRzrUflfxZc0rbKbczveA7+lV7ScpkLyFLj6yWQpnym8XmemS4bDi5xavtg2vR39ZCf1sL/Z26irl68nxW0KVLF1MiQ//IHl9ygrsQKEmGEiVKmIKlOtTGFZGyPXv2yIMPPui0TdclJJKm+2jwQadOstVLUfv374+179y5c01w4oMPPnCq/6EZHq6kw49+/PFHmTdvnsmMcaS/6FqIR2uUJPf6IelmfOCcrbR0znb7cwIlvmXq7wukXbVG8uqD7SRr+kwSevWSbDi0UzpMGyxr9zvXMULqVzzL7UzAxkUamMXR6atnCJT4GPrbWuhva6G/YWX/+9//TH2SBx54QCZMmGAmH0nIzLSuQKAkGbS+htYVWbJkiRk75UiDDjqNrw6TuZtq1apJ7ty55bPPPjNRM80YUToDzD///GOq/d6Nnl+Lo06cONFezFXpL1RcGSIxs0F0Pw1auMry5ctNPRJtU8zCrrY2PPXUU6ZAz44dO0whW0feiBr6mtGz2911n0WH/+eRtsD9HhjrXJ8opomrvzcLfIMOp7mT55f29Vhb4H70t7XQ39ZCf/sGvXX3E89llFgjn0TsZSS0zIT+cT0wMFDy5s0b5+gKDaDoRCuuQqAkmRGun376ycxMo0NMqlatKmFhYWYWF83a0Kl0c+bMedfjaIePGjXKzFCj0w3rrC+26YGLFi0qr7766l2PoefWwINOy3vu3Dn79MB79+412x0jb9rer776ygy5KVeunKxfv94ENmwzz7iCvgcNdGh2i07p5EiHK+kUzJpxsnLlSqlZs6a88MILpi3nz583RVy1PfocAAAAAGA9hw8fdvr5xo0bcvToUY+cm0BJMqRPn94EI3TclM6Ao8VKtQ6H1ibRWWrimzo3Lhpo0eNp8ECnCs6QIYM8+eSTJoCis9EkhJ5fI2zffvut/PDDDybqNnv2bFMk1nE2HQ3AaEbH119/bYbc6MwyGpiImRWTHLZZbOKqP6LBEQ2U6KK1S3TKYB2eo9kwGqzRWWn0fQMAAABAauDZGiXWcCuO+pme4heVkIqcSLW2bdsm9957r8nqSMhUxVZgmx7482VdvN0UeEiz937jWltI8yb/1WkCAAAp3+peC8zj5aOurZnoqXuLW1GXZOO2cR47Z80qfcTfL7Ps3LnTY+e0GsJePkSn/Y1Jh+LoGK769et7pU0AAAAAAKQmDL1xM62zoWOp4qNDYFxVtHT06NGyZcsWUxVYi8hqMVhdunXrJoUKFXLJOQAAAAAAjvzEj+mB3ery5cumWKs+xjcoxpXJAQRK3Kxly5amjsmdpvWNWaQmqerUqSPLli2TYcOGmWmLCxcubGbl0ZlnAAAAAABITXbs2CF9+vSRVatWxRsgsXHlLK4EStzsgw8+kNDQ0Hi3BwcHu+xcOpuMLgAAAAAAz/GnqoXL7du3T+rWrSuXLl0yE5CcPHlSDh06JO3atZODBw+a2VJv3rwpjz/+eIInQEkoAiVuptP2AgAAAACAhBs+fLgZajNt2jQzm2rnzp1NoERnb1X79++X559/Xnbt2iUbNmwQV6KYKwAAAAAASeTnp4u/BxdrdNWvv/4q99xzjwmSxKVkyZIyf/58OXPmjAwaNMil5yZQAgAAAAAAUpSQkBApV66c/efAwEDzeP36dfs6HXLTsGFD+fnnn116bgIlAAAAAAAgRcmePbuEh4c7/ayOHDkSZ1DFlQiUAAAAAACQZH7i7+fvsUXPZwXFihVzCopUqVLFzHwze/Zs+7qzZ8+aGXF0xldXIlACAAAAAABSlMaNG5vpgW3Bkscee0xy5swpQ4cONTPfvPbaa1K9enW5ePGitGnTxqXnZtYbAAAAAACSwY8cBJd79tlnzdCb06dPS5EiRSRDhgwya9YsExSZM2eOfb9GjRrJwIEDXXpuAiUAAAAAACBFKVGihIwcOdJp3YMPPmgyTNasWSOhoaFSunRpqVq1qsvPTaAEAAAAAIBkuF07BJ6gmSVNmzZ16znoTQAAAAAAkKL069dP/vrrL6+cm0AJAAAAAABJ5Gf+8/fg4rpZb65duyaDBw82Q1iCgoIkf/780qVLFzl+/LjXfx8+/PBDue+++6RChQpmCE5c0wK7C4ESAAAAAAAs5vr166bmx7Bhw+TKlSvyxBNPSKFChWTatGly7733ysGDB73avvHjx5tZbXbt2mWKtRYvXlzq168vn3/+ualP4k4ESgAAAAAAsJjhw4fLhg0bpHbt2rJ3716ZPXu2bNy4UT744AM5c+aMySzxpldeecW0b//+/TJkyBApWbKkrF27Vl5++WXJly+ftGjRQr777jszM46rESgBAAAAACA5N9Z+/h5bXOHGjRvy8ccfm+effPKJZMyY0b6tb9++UqlSJVm9erVs2bJFvE0zSXR40J49e+SPP/6QXr16Sfbs2eWnn36Sdu3aSZ48eVwe1CFQAgAAAACAhaxbt04uXrxopuDVYTYxtWrVyjwuWLBAUhKdCnjs2LFy7NgxWbp0qbRt21YuXbokX375pUvPw/TAAAAAAAAkg18qmx7YNpuMFkuNy33R6//++29JiX777TeZM2eOLFmyxC3HJ1ACAAAAAEAqcuDAASlfvnyc23bu3HnX1x89etQ8FixYMM7tBaPXe3KmmbvZtm2bfP311zJr1iw5ceKEREVFSaZMmeS5556Tp59+2qXnIlACS8oYmFGaFG7q7WbAQyLbuL7AE1Kus5//4e0mwIO2jqrL9baYxgf5TrcSv4ZPeLsJ8IAKA9ek+uvsFyWpis5yo9KnTx/n9gwZMpjHy5cvizcdOnRIvvnmG7Ps3r3bBEcCAwOlefPmJjiiM/XotMauRqAEAAAAAIBURGuLJCRzJDWrXbu2bNq0yQRHVJ06dUxwROuSaDFXdyJQAgAAAACAhdhmubl69Wqc28PCwsyjDm3xFp2quGzZsiY4okvRokU9dm4CJQAAAAAAJEfUrVR1/QoXLmwedfaYuByLXl+kSBHxFp2aOK4ZeTwhdZXmBQAAAAAAyVK5cmXzuHXr1ji3b41eX6lSJa9daW8FSRQZJQAAAAAAWCij5P7775csWbKY2XN0NpkqVao4bZ87d655fOyxxzzWJttMPMnNknEFAiUAAAAAAFhI2rRppWfPnvLuu+9Kjx49ZOnSpfaZbj788EP5+++/pUGDBlK1alWPtUlrkPj5+SXptfq6mzdvuqwtBEoAAAAAAEiyKA9nlLhmLuK33npLli9fLr///ruUKlVK6tWrJ0eOHDFFVHPlyiVTp04VT6pfv36sQEl4eLhs2LDBPM+WLZu9Zopmn5w/f97sX7NmTUmXLp1L20KgBAAAAAAAiwkKCpKVK1fKyJEj5ZtvvpEff/zRTLvbqVMnGTZsmBQsWNCj7Vm1apXTz5cvX5YHH3xQKlSoIGPGjJEmTZo4bdcsmNdff10iIiJkyZIlLm0LgRIAAAAAACwoODhYhg4dapaUZtCgQaaGyt69eyVnzpyxtjdu3Fjuu+8+KV26tAwcOFA++ugjl52bWW8AAAAAAEjOSBgdeuOxxRpdNW/ePJNREleQxEa36T4//PCDS89NoAQAAAAAAKQoZ86cSVCBVt3n7NmzLj03Q28AAAAAAEiOW6lreuDUoGjRorJixQr5999/pVChQnHuo9t0H93XlcgoAQAAAAAAKcrzzz8vYWFhZpriGTNmyPXr151mw/nqq6/MtqtXr5p9XYmMEgAAAAAALDY9cErXt29f2bJli8yePVs6d+5sFp222DYsR0VFRUnr1q3Nvq5ERgkAAAAAAEhR/P395dtvvzVL3bp1JTAwUEJCQsyiz3WdTmusgRTd15XIKAEAAAAAAClS27ZtzaJFW8+dO2fW5ciRQ9KkcV84g0AJAAAAAADJ4dGhN9aUJk0ayZMnj0fOxdAbAAAAAACAaGSUAAAAAACQHGSUuIUWa/36669l/vz5sm/fPrl8+bJZF5Ofn58cOHDAZeclUAIAAAAAAFKUGzduSPPmzeXXX3+NMzhiC5DEty05GHoDAAAAAEBS6Y36rVueW9wQGEiJPvjgA1mxYoU8+uijJpvk2WefNYGR8PBw+eeff2TIkCGSIUMG+d///ie39Lq4EBklAAAAAAAgRZk9e7Zkz57dTAGsARHbFMA6NXCZMmVk8ODB8sADD5hFf+7SpYvLzk1GCQAAAAAAya1R4qnFIvbv3y81atQwQRJlC5RERkba96lXr57cf//9MnHiRJeem4wSwMeFh9+QwYOny8yZyyU09LJUqlRchg3rLI0aVfN20+BGJ8+FyUffb5NNu0/J5j0hcuVahKz4sKU0rFKQ6+6DAitUlaD7m0hg2UoSkD233LpwTm7s3CJhcyab5/Bt50OuyI9Tt8iebSdl3/ZTci0sQkZ921Yq1S7s7abBBfg+twb+vQbEFhAQIFmyZLH/bAuYnDlzRvLmzWtfX6BAAVmwYIG4kqUzSjp16iRFixZN0L46/knHQyXW4sWLpUqVKhIUFGRef+HChTjPq9v0HBA5fPiwuR7vv/8+l8MFOnceLWPHzpUOHR6SceN6SECAvzRvPkDWrt3O9fVhe/4NldGztsjxs2FSsVgObzcHbpax/cuStty9Ev7Hb3J5+li5vn65pKv1kGR7b7r4Z8nO9fdxxw6cl+8+2yTnTl+RomVyebs5cDG+z62Bf68BsWkA5NixY/afS5YsaR43bNjgtN/ff/8tGTNmFFcio8TB1atXZfTo0dKwYUOzJNe5c+ekTZs2Ur58efnkk08kXbp09igY4AmbNu2WWbNWyujR3aVfvzZm3XPPNZaKFZ+X/v0nybp1E+gIH1W1dG4582M3yZ45SOau3ifr31nk7SbBja58NUEi9vzlVNztxraNkm3IRAlu0krC5kzi+qdir7edJXkKZpbXPngkzu0lK+aVOdt6SqaswbJm4R755+WfPN5GuA/f576Pf6/5CAsNifGUWrVqyQ8//GCKt+q99COPPCKvvvqq9OnTxyQiaCBl0qRJprDrY4895tJzWzqjJK5AyTvvvCOrVq2Kte2tt96Sa9euJep4f/zxh5nnediwYfL888/LM888YwrPTJ48Wfbs2ePClgNxmzt3tckg6datuX1dUFBa6dKlmaxfv0v+/TeES+ejMqVPa4IksIaI3dtiVcDXdbcuX5SAAkW81i54RvqMaU2QBL6J73Pfx7/XgLg99dRTJiCydOlSe0aJBkmOHj1qpg3WkRuakJA+fXqT8OBKZJQk9EKlSWOWxAgJuX0TmjVrVqf1GiyxaiBKf4nhOdu27ZfSpQtK5szOmUw1apS1by9UKDddAvggv3TB4hcULFGXL3q7KQCAO+Dfa74gysMZJdaYHrh58+Zy8uTJWFMGV69eXX788UcJDQ2V0qVLS69evaRUqVK+n1Fiqweyd+9ek4WhBVxy5colgwYNkqioKPn333/liSeekMyZM5siLnqxbKZPn25eq3UuHGmWiK6PK1tE6f56DqVZJbqvY92QxNYo0aE7HTt2NM+1I/W1WpskMbVRjh8/bqY4ypMnj0k10iE8U6dOlcTavHmzNGnSRHLmzCnBwcFSrFixWFMn6bzT48aNM+fQqJ2es3v37uaXz9H8+fPNL2z+/PlNm0qUKGEyZhwrD9vef4UKFWTLli1Sv359EyAZMGCA2Xb9+nVzPfWXWs+VL18+admypRw4cCBW2zWVSs+h59LrqFk6SLiTJ89Lvnyx61Pky3e7ZsGJExR5BHxV8CNtxS8wrVxfv8LbTQEA3AH/XgMSp127djJr1ixZsmSJTJgwweVBkhSfUdK2bVu555575L333pNffvlFhg8fbuZR/vzzz+XBBx+UUaNGyddffy39+vUzN9F6Q55UGiT59NNP5aWXXpInn3zS3LirSpUqJel4AwcONHM5643+0KFDTXBCb/gT6vTp02ZMlgZYevbsadq3aNEiM4Tn0qVLJuUooVktjRs3Nq9/4403THaLBoXmzZvntJ8GRTTI1LlzZxORO3TokHz88cfy559/yrp16+xZMLqPFsrp27evefz111/N/NXapjFjxsSq0dKsWTPzi6wBLw2+aEDl0UcflRUrVpj1vXv3NsOTli1bJjt27HC6Rjpftm7Ttul10HQq7ZeDBw8mKCtHgz5x0YBMiRL/VUn2Zdeu6Xi+2NdKh9/c3n7DC60C4G6BZatIhqe6mKKuETu3cMFTkZsRkRJ2OdxpXeTNSIm4ESkXz191Wq/Dbfz9E19oHkDKwr/XfENUlPMfjpG6pehAic6ZrEER1a1bN5OF8dprr8nIkSOlf//+Zn379u1NdoNmWiQnUKJFVlu1amUCJRoc0Rv75GjUqJHJCNFAiQYLqlWrluhAiwYVtm/fLjly3M4IePHFF8371WwMDR5odsjd/P777yYrRMd1ObZBg042a9eulSlTppigU4cOHezrH3jgAWnatKl899139vUavHA8r7ZJF523Wo+pmR82p06dks8++8y01WbatGkmSPLhhx+aQjw2GsTRbCFHOvZs3759ki1bNvOzBp40k0gjhxpswd0FB6eT8PCIWOuvX78dIAkOvh0wQep1IyJSzl++7rQuV5ZgU5sGPiggjfhnzOy06talC07pvgH5i0iW10bKzX8PyuXP3/NCI5EcuzYfl/7tZ8fesOWErF6w22nV9DXdJE+h/6ZNROrG97l18e81IOVJ0YGSrl27Os2hrDf6Oj2QZlXYaIaE3kBrloGv0IDB999/b2bM0ednz561b9MhNJpmtHXrVrn//vvveixbfZSff/5ZKleuHGcmhgZCdHiTBnccz1W1alWTNbJy5Up7oMQxSKLZHlqBuF69eiagtXv3bnMOGw2aaIaKI31fOgTolVdeidWOmEObNKPIFiRReh6V0L7euXPnHTJNwsQKdIjN8eP/9aljiqfKn59pY1O733eelIf6OmeIHfimkxTN63wzDd8QWKaiZBv8idO6s6+0lFtnTpnn/jlyS9YBYyXq6hW5OOo1ibrunIGAlK9YudwyYmZrp3WTh6+SbLkySKvu1Z3W6zr4Dr7PrYt/rwEpT4oOlBQuXNjpZ72Z15oWeqMdc70O8/AVZ86ckQsXLphsFF3uVCj2bho0aGCqBWvdlbFjx5raIS1atDCBD1v2h2ZtXLx4UXLnzn3Xc2nwQWcA0iE3OtzGkR7DkU7XlDZt2ljDXjSwlZDCuDH73xY0iVk3BfGrXLmkrFy5TS5dCnMq6Lpx4z/msUqV23ORI/WqXCKnLBnTwmld3uwUTfZVN4/sl9DhvZzW3bpwO/DplzGzZB0wTvzSpJXQ4S/KrQu+8/9FK8mUJUjuretcxyxjliDJnjtDrPXwLXyfWxf/XvMBmhl/y4PFXGNk4sNigRLNIknIOmUbthFfwdWYxUZTMi2sqnT4j60gbEwJrZ2i12Pu3LmyYcMGWbBggRm2ooVctQCurtOMET2fBkl06E1cbEVuNXijgRctoqt1V7SeiAauNLtFh0LZ2m2TkKFBd3K3vsbdtWpVXz74YI5MmvSL9OvXxqwLD78h06cvkZo172HGGx+QLVOQPFzVOagI3xUVdlkidmyOvSFdkGR94wPxz5ZLLgzrKZGnjnmjeQCSge9z6+Lfa0DKk6IDJUlhyzrQm3pHR44cuetrEzOrjTtpYCJTpkwmuPPwww+75JhaGFaXd99919QZefrpp80QHh3epAGP5cuXm6E8dwpu6IxBmrmjhWAd68Fo4deE0nNt3LhRIiIiLDtNsidpMKR16wYyYMAUCQkJlZIlC8iMGUvl8OFTMmVKP283D2727lebzOPOw7czDmYu2y3rtp8wzwc+W4Pr70Oy9BwigSXLy7WVCySgQFGz2ERdvyY3Nv/m1fbB/b6dsN48Htl7e7jlih92yc7Nx83z9q/UpgtSOb7PfRv/XvMRHp0eGO7mc4ES26wpv/32m1SpUsU814BDfENYHOkUtnEFWTxNMyl0uIwGNHQmGJ1mN+bQHFuWx93oMBWtU+IYBLJdF60vorQWihZj1Wl+R4wY4fT6mzdvypUrV8wxbBkejhkdN27cMK9NKH1fOoORzqjjWMzVdtyUEqzyJV9++YYULjxNZs5cLqGhl6VSpeKyYMG7Ur9+0mZ0QuoxeNoGp5+nLdplf06gxLekKXp7WrzgBx4zi6PIMyflHIESnzfjg7VOPy+ds93+nEBJ6sf3ue/j32tAyuJzgRIt1KmZE2+++aacP3/eTCesmRN6w383mk1Rrlw5mT17tpQuXdq8VoMUMQMVnqBTImsR1Zo1a8oLL7xg2qXvR4e5aPaHPk+IL7/80gQydMpjDSJpAdbJkyeb4TOPPPKI2UeH0+jMNDqb0LZt28x0wprtobVLtNDr+PHjzYxAderUMRk7OhxIpxDWoMZXX32VqKEwzz33nMyYMcNML7xp0yZToDUsLMy8p5dfftnMagPX0qmAx4zpbhZYS+SvzrUs4LvOvfKUt5sANxo9u91d91l0+H/0gQ/j+9z38e81H0BGiU/xuUCJ0lobeuOvwQbNhNBZcnSqW53V5W50mlydkUWzHTRb4u233/ZKoCRPnjwmkKC1QHSoiwY7dJpgDQSNGjUqwcfRIIgeR4NFp0+fNoVvddplvUbFihWz76fT+OosNzp7zYABA0yxVZ2OWeuk2GbX0fPr7Dk6RbMWdNWgiW5/6KGHzGw8CaFZKQsXLrQPAdJZcPS4devWlYoVKybhSgEAAAAAfNWqVavMiJGTJ0/aR0XEpH/E/+KLL1x2Tr8oKmPCYmzTA+/YMdXbTYGHRK2az7W2kLOf/+HtJsCDto6qy/W2mMYH4/5HMnyTX0Oyja2gQoUu5nHnzsOSKu8tIi/IjrXDPHbOCnUHiQRkNTOS+jKdVVVHHKxZs+auoxg0UOLKCVx8MqMEAAAAAADPiPLw0BtrzALav39/k0lSsmRJefHFF015DJ30xBMIlCQxsnXt2rU77pM3b15xNy3qeqeoWdq0aU2dFQAAAAAAUpP58+ebkhQbNmzw+H0tgZIk6N27tymSeieeGNFUvXr1O057rPVJdDwXAAAAAMCNKObqlgQFnYDEG3/8J1CSBK+//ropYuptWpD1TpktWmwVAAAAAIDUplSpUmaGVG8gUJIEOlWvLt5mm40GAAAAAOAlOpjglgdrlFijRInobLS67N+/39Qp8SR/j54NAAAAAADgLrp27Sq9evUyJSWmTZsmx44dE08howQAAAAAAHhVQEBAvPU/NWhyt+mBb9686bK2ECgBAAAAACDJmB7YFQoVKmQCHikBgRIAAAAAAOBVhw8fTjE9QKAEAAAAAIDkYHpgn0IxVwAAAAAAkGpcvHhRNm/eLKdOnXLL8QmUAAAAAACQ3IwSTy0WsXTpUunSpYv8+eefTusnTJggefPmlZo1a0rBggXl1Vdfdfm5CZQAAAAAAIAUZcqUKfLdd99JqVKl7Ou2b98uffr0kcjISKlVq5ZkzpxZPvroI5k/f75Lz02gBAAAAAAApChbt26VKlWqSMaMGe3rpk+fbn9ct26dbNmyRdKmTSsTJ0506bkp5goAAAAAQFJFRYncuuXZ81nA6dOnpXr16k7rVqxYIVmzZpV27dqZn4sVKyYNGjSQXbt2ufTcZJQAAAAAAIAUJSAgQK5fv27/+fz587Jjxw6pV6+e+Pv/F8rIlSuXnDlzxqXnJqMEAAAAAIDksFCRVU8pWrSo/P777xIRESGBgYEyb948iYqKkkaNGjntd+7cOcmRI4dLz01GCQAAAAAASFHatm1rMkXq168vr732mrz++usmYNKiRQv7Pho40TolxYsXd+m5ySgBAAAAACA5yChxuV69epnZbDZu3GgWHW4zZswYKVCggH2fX3/91QRTXnzxRZeem0AJAAAAAABIUTJkyGCG3vz2228mGKIz4DhOFWyrYzJ27Fh57LHHXHpuAiUAAAAAACSZh2e90fNZhL+/vzRs2DDe7brtTtuTfF6XHxEAAAAAACCVIqMEgM/za/iEt5sAD8pFf1vL0cXebgE8jO90a1nCZ9wSrkRc8XYTkAINHTo0wfv6+fnJoEGDXHZuAiUAAAAAACRnJMwtDw6HscjImyFDhpgAiM5sExfdpnQ7gRIAAAAAAODTpk2bFuf6W7duyb///ivLli2TdevWSY8ePaRatWouPTcZJQAAAAAAJIdHi7laQ8eOHe+4ffDgwTJ69GgzRKdbt24uPTfFXAEAAAAAQKrz+uuvS8GCBWXAgAEuPS4ZJQAAAAAAJAcZJV5TsWJFWb58uUuPSUYJAAAAAABIlQ4cOCA3b9506TEJlAAAAAAAgFQlNDRUXnvtNdm2bZvUqFHDpcdm6A0AAAAAAEml09d6dHpga8wPXLx48Xi3XblyRc6dO2emBg4ODpaRI0e69NwESgAAAAAAQIpy+PDheLcFBgZKoUKFpEGDBtK/f38pV66cS89NoAQAAAAAgOSgmKvL3fLiNaVGCQAAAAAASJWmTp0qQ4cOdekxCZQAAAAAAJAcmv3gqQVOJk+eLO+88464EoESAAAAAACAaARKAAAAAAAAolHMFQAAAACApNLZej06PbDnTmVVZJQAAAAAAABEI6MEAAAAAIAki/JwkVVSStyNjBIAAAAAAIBoZJQAAAAAAJAcnqxR4qMCAgIkpSBQAgAAAAAAvCoqKunBJj8/P5e2hUAJAAAAAADwqlserfNyZwRKAAAAAABI1vTAHrzJZ5SP21HMFQAAAAAAIBqBEsDHhYffkP79J0mBAm0kffpmUqtWD1m2bLO3mwU3ob+thf6GOh9yRaa+t1r6t5slLcuPk2ZFx8jf649ycVI5Pt9QfL5T2fTAnlpIKXE7AiVIsMWLF0uVKlUkKCjIFMu5cOECVy8V6Nx5tIwdO1c6dHhIxo3rIQEB/tK8+QBZu3a7t5sGN6C/rYX+hjp24Lx899kmOXf6ihQtk4uL4iP4fEPx+Qa8g0CJF+3atUuGDBkihw8flpTu3Llz0qZNGwkODpZPPvlEvvrqK8mQIYO3m4W72LRpt8yatVJGjOgqY8Z0l27dHpUVKz6QIkXymCwT+Bb621rob+t4ve0s+eC1hfFuL1kxr8zZ1lOmrOwqT3at5tG2wT34fFsHn2/fmrHFUwvcj0CJlwMl77zzTqoIlPzxxx9y+fJlGTZsmDz//PPyzDPPSGBgoLebhbuYO3e1ySDp1q25fV1QUFrp0qWZrF+/S/79N4Rr6EPob2uhv2GTPmNayZQ1mAviQ/h8w4bPN+AdBEpSCY0cXrt2zWvnDwm5fUOdNWtWlx0zLCzMZcdC3LZt2y+lSxeUzJmds39q1Chr3w7fQX9bC/0N+C4+30AqnfXGUwtJJW5nyUDJ8ePHTVZE/vz5JV26dFKsWDF56aWX5MaNGxIREWGyPEqVKmVqceTIkUPq1q0ry5YtM699//33TX2OI0eOxDrum2++KWnTppXQ0NC7tmH69OnSunVr8/yBBx4wx9Rl1apVZl3RokXl0UcflSVLlki1atXMkJfPP//cbJs2bZo8+OCDkjt3btP+cuXKyaeffhrrHLZjrF27VmrUqGHeT/HixWXGjBlO+93tPTds2FA6duxonlevXt20s1OnTvbXf/fdd1K1alXTxpw5c5psE73GjnT/jBkzyoEDB+SRRx6RTJkyydNPP2226fF69uxpjqPvRY9Tu3Zt2b79dg0Nfd8lS5Y0bdO2pIYMnJTi5Mnzki9fjljr8+XLbh5PnDjnhVbBXehva6G/Ad/F5xsAvCuNWMyJEydM0EALkXbr1k3Kli1rburnzp0rV69elTFjxsjIkSOla9euZr9Lly7J5s2bZevWrdKoUSNTp+P111+XOXPmyP/+9z+nY+u6xo0bS7Zs2e7ajvr160uvXr3ko48+kgEDBsg999xj1tse1Z49e6R9+/bSvXt3eeGFF6RMmTJmvQZFypcvL48//rikSZNGFixYIC+//LLcunVLevTo4XSe/fv3S6tWrUxgSIMdU6dONUELDWzoMZTWSbnTex44cKA596RJk2To0KEmsFSiRAl7wKdz584mgKLHOH36tIwfP17WrVsnf/75p1MGys2bN6VJkyYmCKMBp/Tp09u3rVmzRn766Sd7+/VYGuTRaz1x4kTz/jQANXr0aOnSpYv8+uuvd73GtvcXkwZrSpTIK1Zw7Vq4pEsXe4iUDr+5vf2GF1oFd6G/rYX+9k03IyIl7HK407rIm5EScSNSLp6/6rReh9v4+/t5uIXwBD7fvonPN3xNWFiYzJs3TzZt2mSWbdu2meSDt99+29xjpmaWC5Ro1sepU6dk48aNJlPDRgMAOrzll19+MRkPGhSIS+HChaVWrVoye/Zsp0CJ1vA4ePBggn8hNLOjXr16JlCiwQjNlIhJgxw604wGFxytXr3aZF3YaDZG06ZN5cMPP4wVKNFgy2+//WbOpTTQU6hQIZOVosEKdbf3rO3TYJJub9asmf26aSZK//79pUKFCuYcmvGhNBCiQY6xY8eaTBWb8PBwk0WjQZCYtJ27d+82WTBKg00aIBo+fLjs3bvXZKCoyMhI83rNKrHti/gFB6eT8PCIWOuvX78dIAkOvh0wgW+gv62F/vZNuzYfl/7tZ8fesOWErF6w22nV9DXdJE+hLJ5rHDyGz7dv4vPt48y0vdayb98+ee6558QXWSpQohkXP/74ozz22GNOQRIbHQKiGRA7d+40na5DUeLStm1b6dOnT3Rmwu3MCg2c6DCYJ554wmXt1cyNmEES5RgkuXjxoglYNGjQwAzT0Z+zZPnvH006lMUWJFG5cuUy2SEa1LFJyHuOi2adaO0SDQ7ZgiSqefPmJlNHAzCOgRKlQ5zi8tBDDzkFPmrWrGken3rqKXuQxHG9tv9ugRJ9T/FnmlijPooOsTl+/GycKb0qf/7Yw3KQetHf1kJ/+6Zi5XLLiJm3h+baTB6+SrLlyiCtuld3Wq/r4Jv4fPsmPt/wNZkyZTIjF3R0gS56/zd48GDxBZYKlJw5c8YMK9EMiPhoZokGO0qXLm3200yNZ599VipVqmTfR7Mi+vbta4IjOmxGM1G0voZmW2TOnNmlgZK46LAWTWdav369GS7kKGagRDNgYtJsDcc6Kgl5z3Gx1WmxDQlypIESrY3iSIcJFSxYMM5jxWyn7T1o9ktc6xNSBwYilSuXlJUrt8mlS2FOBV03bvzHPFapUpLL5EPob2uhv31TpixBcm9d5z8EZMwSJNlzZ4i1Hr6Lz7dv4vPty6JEbnmywmrKqOZaokQJmTJliv3npUuXiq+wZDHXu9UO0UwRreWhQQPt+Pvuu8/pF0CLwGqWhtYkURs2bJCjR4+aTBNXcswcsdG2afbF2bNnzVAbjdpp0dVXX33VnjXjKCAgIM5jO86/nZD37AqacePvH/evXHztTEj7Eb9WrepLZOQtmTTpF/u68PAbMn36EqlZ8x4pVCg3l8+H0N/WQn8DvovPNwB4l6UySnTYiWZ87Nix4477Zc+e3RQo1eXKlSsmkKDDS7TYqY0GRbTAqNbW0MwSLUyqQ3oSQ4f6JJYWbtVaH1r41DELY+XKlZIcCXnPMRUpUsQ86jXQWXgc6TrbdniPBkNat24gAwZMkZCQUClZsoDMmLFUDh8+JVOm9KNrfAz9bS30Nxx9O2G9eTyy9/ZwyxU/7JKdm2/PQNf+ldpcrFSGzzcc8flORdMDe/J8cCtLBUo0m6FFixYyc+ZMU18jZp0SzVI4f/68mR7XRqe01alp//33X6d9tXbGK6+8It9++60ZdqPFSzNkSNxYYdv+OgNPQtkyLBwzKnS4jRZnTapz584l6D3HpNdPpyj+7LPPzEw0mjGiFi1aJP/884/PjE9L7b788g0pXHiazJy5XEJDL0ulSsVlwYJ3pX79Ow+tQupEf1sL/Q2bGR84D3ddOme7/TmBktSJzzds+HwjLjoiIL5ZPuOr1YiEs1SgRI0YMcKMndLipzo9sE7He/LkSRPs0JoaWvxUZ6DR6XM1y0IDKjp1sM4s40gDBA888IAZ/nL58uUkDbupUqWKCXyMGjXKBDs00KCZGXrs+Oj0w2nTpjXZKzorjGZ/TJ482bxG30dSJPQ9xxQYGGjarlkoej11KmPb9MBaaNU2HAjepVMBjxnT3SzwffS3tdDf1jB6dru77rPo8H8z8cE38Pm2Bj7fQMpkuUBJgQIFzNTAgwYNkq+//toUd9V1WohVh8/06tXLDGvRYIoOcdHhIzpFreNUwDYaHFm+fLmp9qvT6yZW3rx5TTaGTner1YJ16lsdQnOnQIkWTtUgxltvvSX9+vUzx9CZZHRYkWZ1JEVi3nNMnTp1MtftvffeM1MFa5bMk08+aQIoOpsOAAAAAPg8D08PrIVUk5s5ovdtOhIgMWbMmCE1atQQX+cXRVVMWIxteuAdO6Z6uykAgGRacnQx19BimhRu6u0mwIP4jFtD90ZTneospbp7i7BTsn3q0x47Z8UuX4tkyJvsQImOcPjrr78S9ZqVK1ea0Qhx0T+ev/nmm2aGVq13mZpZLqMEAAAAAACX8uj0wK6xbds2bzchxSJQ4gbXrl0zNUfuRGuBaK0RAAAAAACQchAocQOdLlgLnCY1ZQkAAAAAkErojKQenR449WWvpDYEStygSZMmsmzZsjvuU7lyZXecGgAAAAAAJAOBEjfIly+fWQAAAAAA8FVPPvmknDx50jw/ceKEeZwyZYosXny72LreF//www+S2hAoAQAAAAAgFU0PnFL8+eefcuTIEad1x48fN4sqUqSIpEYESgAAAAAAQKIdPnzYJ68agRIAAAAAACw2PTDi53+HbQAAAAAAAJZCRgkAAAAAAEnF9MA+h4wSAAAAAACAaARKAAAAAAAAojH0BgAAAACA5LDo9MC+iowSAAAAAACAaGSUAAAAAACQHEwP7FPIKAEAAAAAAIhGRgkAAAAAAEkV5eEaJXo+uBUZJQAAAAAAANEIlAAAAAAAAERj6A0AAAAAAEkWJVGRnhwPw9gbdyOjBAAAAAAAIBoZJbCko5cvyGPzp3m7GfCQBU905lpbSNSq+d5uAjypeDquN+DDPv7zpLebAA84f/1m6r/OTA/sU8goAQAAAAAAiEZGCQAAAAAAySkZ4skaJZQocTsySgAAAAAAAKKRUQIAAAAAQDJEUaPEp5BRAgAAAAAAEI1ACQAAAAAAQDSG3gAAAAAAkFQUc/U5ZJQAAAAAAABEI6MEAAAAAIAkixKJvOXB68f8wO5GRgkAAAAAAEA0MkoAAAAAAEiiqCjPTg+s5/Pz2NmsiYwSAAAAAACAaARKAAAAAAAAojH0BgAAAACA5IikwKovIaMEAAAAAAAgGhklAAAAAAAkhweLucL9yCgBAAAAAACIRkYJAAAAAABJpdMDe7JGCckrbkdGCQAAAAAAQDQCJQAAAAAAANEYegMAAAAAQJJFidy65cHrx9gbdyOjBAAAAAAAIBoZJQAAAAAAJCfBg2KuPoVACWBRlXOWk4aF6ki5HKUlR1B2uRB+Uf46s0tm/jNXQsMvert5SKLw8BsyePB0mTlzuYSGXpZKlYrLsGGdpVGjalxTH3byXJh89P022bT7lGzeEyJXrkXIig9bSsMqBb3dNHjA+ZAr8uPULbJn20nZt/2UXAuLkFHftpVKtQtz/VMxvs+h+Pca4B0MvfGQ6dOni5+fnxw+fNhTpwTuqFP5tlIx5z2y/sQWmbT9K/nt2AapV6CmfPTAcMmaLgtXL5Xq3Hm0jB07Vzp0eEjGjeshAQH+0rz5AFm7dru3mwY32vNvqIyetUWOnw2TisVycK0t5tiB8/LdZ5vk3OkrUrRMLm83By7C9zkU/15LPaJuRXlsgfuRUQL4qJF1B8jpq2dl3NZJcW6fsuMb2XVur0Q5FIPaEvK3jKr3ljxavJHJLEHqsmnTbpk1a6WMHt1d+vVrY9Y991xjqVjxeenff5KsWzfB202Em1QtnVvO/NhNsmcOkrmr98n6dxZxrX3I621nSZ6CmeW1Dx6Jc3vJinllzraekilrsKxZuEf+efknj7cRrsX3uXXw7zUgZSKjBLConef2OAVJbOsu3bgshTLl91q7kHRz5642GSTdujW3rwsKSitdujST9et3yb//hnB5fVSm9GlNkATWlD5jWhMkge/g+xw2/HsN8A4CJXCp69evyy0PTI0VFhbm9nNYUVBAOgkOCJJL4Ze93RQkwbZt+6V06YKSOXMGp/U1apS1bwcApHx8n+NO+PdaCi7m6qmF0TduR6DEiyZOnCjly5eXdOnSSf78+aVHjx5y4cKFWPt98sknUrx4cQkODpYaNWrImjVrpGHDhmZJjKJFi8qjjz4qS5culSpVqkhQUJCUK1dO5s2b57Tf+fPnpV+/flKxYkXJmDGjZM6cWZo1ayZ//fWX036rVq0ydVdmzZolb731lhQoUEDSp08vly5dkoiICHnnnXekVKlS5jw5cuSQunXryrJly5yOsXv3bmnVqpVkz57d7FetWjX56aef4qzvsnr1ann55Zcld+7cUrAgBQrd4YkSTSUwIFDWHN/oluPDvU6ePC/58sWuT5EvX3bzeOLEOboAAFIBvs9xJ/x7DXA/apR4yZAhQ0wg4eGHH5aXXnpJ9uzZI59++qn88ccfsm7dOgkMDDT76bqePXtKvXr15NVXXzXFYFu0aCHZsmVLUrBg37590rZtW3nxxRelY8eOMm3aNGndurUsXrxYGjVqZPY5ePCg/Pjjj2Z9sWLF5PTp0/L5559LgwYNZNeuXSao42jYsGGSNm1aE1wJDw83z/X9jRw5Urp27WqCOxo82bx5s2zdutV+np07d8r9999vAixvvPGGZMiQQebMmWPe3/fffy9PPvmk03k0SJIrVy4ZPHhwgjJKNAgVlwMHDkhgbt9KUQ/wC5AMgcGx1gX6p5HMaTM6rb98IyzWkBtVPkcZaV+2hSnq+vfZXW5vM1zv2rVwSZfu9neHIx1+c3v7DS47kMLdjIiUsMvhTusib0ZKxI1IuXj+qtN6HW7j7+/n4RbCE/g+9038e83HeXJ6YLgdgRIvOHPmjAkiNG7cWBYtWiT+/rcTe8qWLWuCIjNnzpTOnTvLjRs3ZNCgQVK9enX59ddfJU2a291VqVIl6dSpU5ICJXv37jVBiJYtW5qfn3/+eXPe/v372wMYmkmi+9napZ599lmz3xdffGHaFHO4jQZBNOPF5pdffpFHHnlEJk2Ku5Co6t27txQuXNgEhzSrxhYM0cwTbU/MQIlmnaxYsUICAgIS/b59XbkcpWRk3YFxbmtQsLbTz12WviohV886rSuYMZ8MrNlbjlw6JhO2feHWtsJ9goPTSXh4RKz116/fDpAEB98OmCD1uhERKecvX3dalytLsKlNA9+wa/Nx6d9+duwNW07I6gW7nVZNX9NN8hRiljJfxPe5b+Lfa0DqQaDEC5YvX26CIH369HEKRrzwwgsyYMAAE2TQQIkGH86dO2eCKrYgiXr66adNdklSaDaIYwBCh9U899xzMmrUKDl16pTkzZvXHrRQkZGRZjiQDsEpU6aMyQiJSTNTHIMkKmvWrCZjRDNYdPhNTDq8R4M/Q4cOlcuXL5vFpkmTJvL222/L8ePHTbaJ4/VJTJBEzx9fpsnRy8fFlxy8eFQGrnvPaV3XCh0k9PoF+X7/Qqf1odcvOv2cMzi7DK3zulyNuCZD1r8v124634Qh9dAhNsePOwfBbCncKn9+po1N7X7feVIe6us8XPLAN52kaN7MXmsTXKtYudwyYmZrp3WTh6+SbLkySKvu1Z3W6zr4Jr7PfRP/XvNtTNvrWwiUeMGRI0fMowYeHOmQFa1FYttueyxZsqTTfho00XojSaHH0nofjkqXLm0edViPBkq0GOv48eNNDZVDhw6ZYImN1hqJSYfnxKQBkCeeeMIcu0KFCtK0aVOTlaLZMGr//v0SFRVlslNiZqjYhISEOAVK4joPbguLuCp/nXEODF2JCJPz4RdjrXeUKTCjDKvzugT6B0r/NcMkNNw5iILUpXLlkrJy5Ta5dCnMqaDrxo3/mMcqVZy/S5D6VC6RU5aMaeG0Lm/29F5rD1wvU5Ygubeu8//jM2YJkuy5M8RaD9/F97lv4t9rQOpBri5iGTFihPTt21fq169vhgEtWbLEFGHVTIy4ZrSJmU2i9LVaC2Tq1KkmUDJlyhS57777zKOyHUfrmuix41piBojiOg+SLl1AOhlSu5/kCMpuMklOhJ3mcqZyrVrVl8jIWzJp0i/2deHhN2T69CVSs+Y9UqhQbq+2D8mXLVOQ/L+9O4Gzqf7/OP5B1iyRiLJrU1IRJZGKijZrpWhFZWtRSqVVm8S/VaiQCu2piAqlLKWUbEnRYkvIvt//4/013/s7dxbrzNxz77yej8cwc+duc7/3nHu+n/P5fj7n1iwf81UgH+c8gGTD/hwex2sJIqJuNDuz70uPhyzF0VUcVKhQwf2vAq7KIPG0HEcZHCrwGryesi8aNmwYvd727dtd9ofPztgXPpMjmFWieiTis1Tefvtt93iqRxKkJTglS5bc68dSTREtIdLX+vXrXfBERV5V4NX/3Spa6/9eZK/utW6yY0pUsXGLJ1m5ImXdl7d5xxabunQGQ5JgFAxp1aqB9ew52FasWG1Vqx5hw4aNs0WLltngwd3j/fSQxXq/Nt39P3vRrqVWw8fPs69nLXHf39O2Nq9/knvz2Snu/8W/7Fp+9/l7c2z2d7uWmV7RJbZWFcKP/Tk8jteA+CBQEgcKDGiZzTPPPOOWpPighQIT//33nzVt2tT9rFa5WuoyaNAgF2zwdUpef/11W7169X499pIlS+y9996LFnNVN5phw4a5dsFadiOqA6JgStBbb73laoakzvLIiGqrBJfpqMaJbvvnn3+6n9XiV+2N1U2nS5cuVqZMmTQFb9XhBlmncrHy7v/GFRq4r6DlG/8hUJKghg69y8qXf9WGD//MVq9eZyeeWNlGj+5t9evve2AViaXXq1Njfn51zP+6VxEoSX7D+k6O+XncqFnR7wmUJCb25xCO14D4IFASBwoA3H333a49sAIlF198scsuUU0Qdbi56qqr3PV8m10FEs4++2xr3bq1yyQZMmSIValSJU2tkb2hmiHqdKNOM6VLl3ZLY9T+V22CvQsvvNDVGFFwpm7dujZr1iwXnAlmv+xJtWrVXCCkZs2aLrNEhWmVqaKuPt7zzz/vOtyoy44Kter+9VymTJlif/31l/3444/7/Pfhf+6e/OhuX47rx93Gy5WE1Aq4T5+O7gs5y44vusb7KSCLPDny8j1eZ8yiO3j9kwz785yB47XkQTHX5EKgJE4UAFHA5LnnnnMdbBRM6NChg6sPouUongILyu7o27evq+dRo0YN+/DDD61r165WoECBfX5cdaB59tln7Y477nDBGRVIHTlypOs046nzzoYNG+yNN95wv1NtEXXiueuuu/b6cfT89DzHjRtnW7ZsccuIHnnkEfe4wWCKAigKGCn4oywUZZqcfPLJ1qtXr33+2wAAAAAAOFC5IqnXWCD0VAhVQRYtn9GynL2lGiQqrPrRRx9ZTubbAzd45qJ4PxVkk9GXXMtrnYNEJn4Q76eAbDSu8v9a2iNnOK/8+fF+CshGF33wv6xnJK9JXUe7/9f9scYScW4RWfGHzbixfrY9Zs0BX1quUuVt9uyMu1viwND1JuQ2b96cpl6IaoqsWrXKLW0BAAAAAACZh6U3ITd16lS3NKdVq1auOOr333/vir4qM0SX+cKnO3bsyPA+VOtES3sAAAAAAFlgJws1kgmBkpDTcply5cq5DjnKIlHAo127dvb444+7AIioAOzixYszvI8GDRrYxIkTs/FZAwAAA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" alt="Score heatmap"></div>
<h2>Per-Category Breakdown</h2>
<h3>algorithm</h3><div class="chart"><img src="data:image/png;base64,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" alt="algorithm breakdown"></div><h3>environment</h3><div class="chart"><img src="data:image/png;base64,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" alt="environment breakdown"></div><h3>filesystem</h3><div class="chart"><img src="data:image/png;base64,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" alt="filesystem breakdown"></div><h3>pipeline</h3><div class="chart"><img src="data:image/png;base64,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" alt="pipeline breakdown"></div><h3>process</h3><div class="chart"><img src="data:image/png;base64,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" alt="process breakdown"></div>
<h2>Per-Task Detail</h2>
<div class="task-detail">
<h3>fizzbuzz <span class="cat">[algorithm/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>5</td><td class="pos">+1</td></tr><tr><td>Expressiveness</td><td>4</td><td>5</td><td class="pos">+1</td></tr><tr><td>Conciseness</td><td>4</td><td>5</td><td class="pos">+1</td></tr><tr><td>Error handling</td><td>2</td><td>4</td><td class="pos">+2</td></tr><tr><td>Overall preference</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Learning curve</td><td>3</td><td>5</td><td class="pos">+2</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash works well for FizzBuzz with clean arithmetic operations and conditionals. The C-style for loop syntax is familiar, but bash&#x27;s quirky syntax like double parentheses for arithmetic might confuse newcomers. Error handling for invalid input would require additional validation that bash doesn&#x27;t make particularly elegant.</p>
<p><strong>lush:</strong> Lush&#x27;s Lua-like syntax made the FizzBuzz implementation very straightforward and clean. The language offers excellent readability with familiar control structures and operators. The modulo operator, conditional statements, and print function work exactly as expected, requiring no special syntax or workarounds.</p>
</div>
</div>
<div class="task-detail">
<h3>reverse_string <span class="cat">[algorithm/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>5</td><td>5</td><td class="">0</td></tr><tr><td>Expressiveness</td><td>5</td><td>5</td><td class="">0</td></tr><tr><td>Conciseness</td><td>5</td><td>5</td><td class="">0</td></tr><tr><td>Error handling</td><td>3</td><td>3</td><td class="">0</td></tr><tr><td>Overall preference</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Learning curve</td><td>4</td><td>4</td><td class="">0</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash excels at text manipulation tasks like this due to its built-in utilities like &#x27;rev&#x27;. The solution is extremely concise and leverages the shell&#x27;s natural pipeline approach. However, error handling would require additional checks for edge cases like empty input or command failures.</p>
<p><strong>lush:</strong> Lush appears to be Lua-based with very familiar syntax and built-in string manipulation functions. The solution was extremely straightforward - just read input and use the built-in reverse function. The language feels mature and well-designed for simple scripting tasks like this.</p>
</div>
</div>
<div class="task-detail">
<h3>two_sum <span class="cat">[algorithm/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Expressiveness</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Conciseness</td><td>4</td><td>3</td><td class="neg">-1</td></tr><tr><td>Error handling</td><td>2</td><td>2</td><td class="">0</td></tr><tr><td>Overall preference</td><td>2</td><td>3</td><td class="pos">+1</td></tr><tr><td>Learning curve</td><td>3</td><td>4</td><td class="pos">+1</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash works for simple algorithmic problems but lacks data structures and type safety that would make this more robust. The C-style for loop syntax feels awkward compared to bash&#x27;s typical idioms, and array handling is somewhat clunky. Better suited for text processing and system tasks than algorithmic problems.</p>
<p><strong>lush:</strong> Lua&#x27;s syntax is clean and straightforward for this algorithmic problem. The hash table implementation using tables works well, and string parsing with gmatch is reasonably elegant. However, the input parsing required some manual work, and there&#x27;s limited built-in error handling. The 1-based indexing required careful adjustment for 0-based output. Overall functional but not particularly specialized for competitive programming tasks.</p>
</div>
</div>
<div class="task-detail">
<h3>env_config <span class="cat">[environment/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Expressiveness</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Conciseness</td><td>2</td><td>3</td><td class="pos">+1</td></tr><tr><td>Error handling</td><td>2</td><td>3</td><td class="pos">+1</td></tr><tr><td>Overall preference</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Learning curve</td><td>2</td><td>4</td><td class="pos">+2</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash&#x27;s regex matching and array handling work well for this task, but the syntax is arcane (${!key} for indirect variable access, BASH_REMATCH array). The printf-pipe-sort pattern for array sorting is a common bash idiom but not intuitive. Error handling would require additional validation that bash doesn&#x27;t make easy. Good for system administration contexts where bash is expected, but the syntax barriers make it less accessible than higher-level languages.</p>
<p><strong>lush:</strong> Lush combines Lua&#x27;s familiarity with shell-like conveniences effectively. The backtick syntax for command execution and built-in functions like lush.envset feel natural. However, the solution required more manual string processing than ideal - having to parse env output and match keys could be more elegant with better built-in environment variable introspection.</p>
</div>
</div>
<div class="task-detail">
<h3>env_path_builder <span class="cat">[environment/convert]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Expressiveness</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Conciseness</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Error handling</td><td>3</td><td>3</td><td class="">0</td></tr><tr><td>Overall preference</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Learning curve</td><td>3</td><td>3</td><td class="">0</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash is well-suited for PATH manipulation tasks since it&#x27;s designed for system administration. The string manipulation features work naturally for this problem, though the syntax quirks (like the pattern matching in conditionals) might confuse newcomers. The solution handles edge cases like empty input and duplicate detection efficiently.</p>
<p><strong>lush:</strong> Lush&#x27;s combination of Lua scripting with shell-like environment variable access ($MYPATH) made this task quite natural. The string manipulation and pattern matching capabilities were well-suited for path building. However, the mix of Lua and shell syntax might confuse developers not familiar with both paradigms.</p>
</div>
</div>
<div class="task-detail">
<h3>file_organizer <span class="cat">[filesystem/solve]</span>
<span class="fail">bash=FAIL</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Expressiveness</td><td>2</td><td>5</td><td class="pos">+3</td></tr><tr><td>Conciseness</td><td>2</td><td>4</td><td class="pos">+2</td></tr><tr><td>Error handling</td><td>2</td><td>4</td><td class="pos">+2</td></tr><tr><td>Overall preference</td><td>2</td><td>4</td><td class="pos">+2</td></tr><tr><td>Learning curve</td><td>2</td><td>4</td><td class="pos">+2</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash required several workarounds and awkward constructs: dynamic variable creation with eval (security risk), manual string building for output sorting, complex parameter expansion syntax, and careful escaping. While bash excels at file operations, the lack of proper data structures made this solution verbose and harder to maintain compared to higher-level languages.</p>
<p><strong>lush:</strong> Lush&#x27;s shell command interpolation with backticks and the seamless integration with Lua made this file organization task very natural to implement. The ability to execute shell commands inline while maintaining full Lua data structures for processing was particularly elegant for this type of system administration task.</p>
</div>
</div>
<div class="task-detail">
<h3>multi_file_search <span class="cat">[filesystem/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Expressiveness</td><td>5</td><td>4</td><td class="neg">-1</td></tr><tr><td>Conciseness</td><td>5</td><td>3</td><td class="neg">-2</td></tr><tr><td>Error handling</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Overall preference</td><td>5</td><td>4</td><td class="neg">-1</td></tr><tr><td>Learning curve</td><td>3</td><td>3</td><td class="">0</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash excels at text processing and file operations like this. The pipeline approach with grep, sed, and sort feels very natural. However, the syntax can be cryptic for newcomers (especially the sort flags), and proper error handling would require additional complexity that might hurt readability.</p>
<p><strong>lush:</strong> Lush combines Lua&#x27;s simplicity with shell command integration nicely. The backtick syntax for command execution is intuitive, and the Lua-based file I/O and string processing felt natural. However, the file globbing required some manual parsing and filtering that felt a bit verbose compared to dedicated shell scripting. Overall, it strikes a good balance between scripting convenience and programming language features.</p>
</div>
</div>
<div class="task-detail">
<h3>csv_transform <span class="cat">[pipeline/convert]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Expressiveness</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Conciseness</td><td>5</td><td>5</td><td class="">0</td></tr><tr><td>Error handling</td><td>2</td><td>3</td><td class="pos">+1</td></tr><tr><td>Overall preference</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Learning curve</td><td>3</td><td>4</td><td class="pos">+1</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash excels at simple text processing tasks like this CSV transformation. The IFS mechanism and read command make parsing straightforward, and the solution is very concise. However, bash&#x27;s quirky syntax (like the `|| [[ -n &quot;$name&quot; ]]` construct for handling files without trailing newlines) can be confusing for newcomers. For more complex CSV handling with edge cases, a dedicated tool or language might be better.</p>
<p><strong>lush:</strong> Lush&#x27;s Lua-based syntax made the CSV parsing task quite natural. The pattern matching with match() worked well for simple CSV parsing, and the io functions provided clean file handling. The solution was concise and readable, though proper CSV parsing (handling quoted fields, escapes) would require more complex regex or a dedicated library.</p>
</div>
</div>
<div class="task-detail">
<h3>log_parser <span class="cat">[pipeline/convert]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>3</td><td>5</td><td class="pos">+2</td></tr><tr><td>Expressiveness</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Conciseness</td><td>5</td><td>4</td><td class="neg">-1</td></tr><tr><td>Error handling</td><td>2</td><td>3</td><td class="pos">+1</td></tr><tr><td>Overall preference</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Learning curve</td><td>2</td><td>4</td><td class="pos">+2</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash excels at text processing pipelines like this, making it very concise. However, the syntax for robust input handling and parameter expansion can be cryptic. The pipeline approach is elegant but debugging can be challenging since errors may not propagate clearly through the chain.</p>
<p><strong>lush:</strong> Lua&#x27;s syntax is clean and readable for text processing tasks. The pattern matching with string.match() worked well for parsing log lines. However, the manual table sorting approach feels slightly verbose compared to languages with built-in sorted collections. The &#x27;or 0&#x27; idiom for default values is elegant. Overall, Lua provides a good balance of simplicity and power for this type of scripting task.</p>
</div>
</div>
<div class="task-detail">
<h3>pipeline_transform <span class="cat">[pipeline/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Expressiveness</td><td>5</td><td>4</td><td class="neg">-1</td></tr><tr><td>Conciseness</td><td>5</td><td>3</td><td class="neg">-2</td></tr><tr><td>Error handling</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Overall preference</td><td>5</td><td>4</td><td class="neg">-1</td></tr><tr><td>Learning curve</td><td>3</td><td>4</td><td class="pos">+1</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash excels at pipeline transformations like this - the pipe operator creates a natural flow that mirrors the logical steps. The regex in sed might be intimidating to newcomers, but the overall structure is intuitive. Error handling is implicit (pipes fail if any command fails) but lacks granular control.</p>
<p><strong>lush:</strong> Lush felt very much like Lua, which made the text processing task straightforward. The pattern matching and string manipulation functions were intuitive. However, the manual deduplication logic required more verbose code than some other languages might need. Overall, it provided good control and clarity for this pipeline transformation task.</p>
</div>
</div>
<div class="task-detail">
<h3>pipeline_word_freq <span class="cat">[pipeline/convert]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>2</td><td>4</td><td class="pos">+2</td></tr><tr><td>Expressiveness</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Conciseness</td><td>5</td><td>4</td><td class="neg">-1</td></tr><tr><td>Error handling</td><td>3</td><td>4</td><td class="pos">+1</td></tr><tr><td>Overall preference</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Learning curve</td><td>2</td><td>4</td><td class="pos">+2</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash excels at text processing pipelines with its built-in tools like tr, grep, sort, and uniq. The solution is extremely concise but requires knowledge of Unix command-line tools and their options. The pipe-based approach is natural for this problem, but the syntax can be cryptic with options like &#x27;tr -cs&#x27; and &#x27;sort -k1,1rn&#x27;. The final while loop with the complex condition is necessary but makes the code less readable.</p>
<p><strong>lush:</strong> Lush feels very much like Lua with clean syntax for text processing. The gmatch function for pattern matching and the flexible table structure made the word frequency counting natural. The sorting with custom comparison functions worked smoothly. Overall, it struck a good balance between simplicity and power for this text processing task.</p>
</div>
</div>
<div class="task-detail">
<h3>process_exit_codes <span class="cat">[process/solve]</span>
<span class="pass">bash=PASS</span>
<span class="pass">lush=PASS</span>
</h3>
<table class="scores">
<thead><tr><th>Metric</th><th>Bash</th><th>Lush</th><th>Diff</th></tr></thead>
<tbody><tr><td>Readability</td><td>4</td><td>5</td><td class="pos">+1</td></tr><tr><td>Expressiveness</td><td>4</td><td>5</td><td class="pos">+1</td></tr><tr><td>Conciseness</td><td>5</td><td>5</td><td class="">0</td></tr><tr><td>Error handling</td><td>3</td><td>3</td><td class="">0</td></tr><tr><td>Overall preference</td><td>4</td><td>4</td><td class="">0</td></tr><tr><td>Learning curve</td><td>3</td><td>4</td><td class="pos">+1</td></tr></tbody>
</table>
<div class="observations"><p><strong>bash:</strong> Bash is well-suited for this task since it naturally handles command execution and exit codes. The main challenges are bash-specific syntax quirks like the read loop condition and variable arithmetic. The use of eval introduces potential security concerns but is necessary for dynamic command execution. Overall, bash feels like the right tool for this system administration type task.</p>
<p><strong>lush:</strong> Lush combines the simplicity of shell scripting with Lua&#x27;s readability. The command execution syntax `${command}` is intuitive and the ability to access exit codes via .code is clean. The Lua-based control structures and string handling make it much more readable than pure bash while maintaining the shell&#x27;s natural command execution feel.</p>
</div>
</div>
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