{
  "schemaVersion": 1,
  "lessonId": "tpu-06",
  "contentHash": "59d9ebf07ea1f8d61e29d1453c803ce4ba21902ab870f37fcb1976de8ffdc26f",
  "executedAt": "2026-10-20T10:58:58.362237+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Precision comparison: [{'policy': 'bf16 (fp32 accum)', 'max_abs_err': 0.03718, 'mean_abs_err': 0.00756, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'bf16 (bf16 accum)', 'max_abs_err': 0.05545, 'mean_abs_err': 0.00912, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'int8 per-col (fp32 accum)', 'max_abs_err': 0.12516, 'mean_abs_err': 0.02322, 'weight_bytes': 16384, 'scale_bytes': 256}]\nCaptured *.xplane.pb trace count: 4 steady_ms: 0.0845\nPrecision comparison: [{'policy': 'bf16 (fp32 accum)', 'max_abs_err': 0.03718, 'mean_abs_err': 0.00756, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'bf16 (bf16 accum)', 'max_abs_err': 0.05545, 'mean_abs_err': 0.00912, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'int8 per-col (fp32 accum)', 'max_abs_err': 0.12516, 'mean_abs_err': 0.02322, 'weight_bytes': 16384, 'scale_bytes': 256}]\nRetained trace directory: /Users/tahabsn/Documents/ChatGPT/jaxpathways/tpu-xprof-trace\nCaptured *.xplane.pb trace count: 4 steady_ms: 0.0663\nBF16-accum / FP32-accum max error ratio: 1.49\nWarmup ms: 16.804 Traced steady step ms: 0.0663\nSeed 42 mean errors: {'bf16 (fp32 accum)': 0.0075, 'bf16 (bf16 accum)': 0.00902, 'int8 per-col (fp32 accum)': 0.02182} xplane files: 4\nMean error (per-channel vs per-tensor): 0.01389 0.0979\nxplane.pb bytes: 259893\nPASS: tpu-06\n",
  "notebookCells": [
    {
      "sourceHash": "c06798cf21742e73cfd3cdbae9fcdf33e6626eaa5e03e154a17d533f0f7afde5",
      "outputs": []
    },
    {
      "sourceHash": "a3b291348e84fc28777452814b9b180f8db65b6c6ba162d4c0361ffbe2cf640a",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precision comparison: [{'policy': 'bf16 (fp32 accum)', 'max_abs_err': 0.03718, 'mean_abs_err': 0.00756, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'bf16 (bf16 accum)', 'max_abs_err': 0.05545, 'mean_abs_err': 0.00912, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'int8 per-col (fp32 accum)', 'max_abs_err': 0.12516, 'mean_abs_err': 0.02322, 'weight_bytes': 16384, 'scale_bytes': 256}]\n",
            "Captured *.xplane.pb trace count: 5 steady_ms: 0.0749\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "928508b0f74214b4681107fb9d2de649d561f2e1ca0d2a711eaeef89daf87587",
      "outputs": []
    },
    {
      "sourceHash": "bd715036bd02f229dd7009703b033c49dddc64cbf50eb7665ea47dde956a9384",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precision comparison: [{'policy': 'bf16 (fp32 accum)', 'max_abs_err': 0.03718, 'mean_abs_err': 0.00756, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'bf16 (bf16 accum)', 'max_abs_err': 0.05545, 'mean_abs_err': 0.00912, 'weight_bytes': 16384, 'scale_bytes': 256}, {'policy': 'int8 per-col (fp32 accum)', 'max_abs_err': 0.12516, 'mean_abs_err': 0.02322, 'weight_bytes': 16384, 'scale_bytes': 256}]\n",
            "Retained trace directory: /Users/tahabsn/Documents/ChatGPT/jaxpathways/tpu-xprof-trace\n",
            "Captured *.xplane.pb trace count: 5 steady_ms: 0.0871\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "04d47e30924153150faf8edea1acccbd7188fb2be22b8fe63a47924a8a78f651",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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nEP9uXL+l91myukW4poriOjo6GNtEFoBUNWCyZM1k8rqhb9VPsRJFwl27fvWmbNqwXV6+eqWn8anaSH6+fvLtyAHi5OwY6euqoM6WjTsladIkUreB5auKrV21Ue/Lli9h8T0AAAAAgA8gA0a9UQ0MDNKf3r/LxfP/yIsXwZIhQ1qJKf7+/jJ27Fhxd3cXFxcXvanjMWPG6GvRoaagTJ48WcqUKSMpU6bUxVLz5csngwcPlocPH0a5v0WLFulAlWG7du1atMaH6PHzffP3w9nFyeR1J5Wt9f9tzPE19uFs8rrz/wdSTPVz/dpNXe9l9vQFsvavjRL8IlhGjvtamjSv986xb9u8S/z9A6RazUrGWjHvsm/PQflr2XrJnjOrNLbgNQAAAAAAH1AGTNHiheXO7Xuy2XOHfNquaaRt/5i1RAceSsbQEtQ3b94UDw8PuXz5sv7awcFBL8F76tQpvc2fP1+8vLwkc+bMUe772bNnUqNGDTly5IixbkfixInlwoULeps3b55s27ZNihQJn9Vgzv3796Vfv35RHgcSrkoe5eTEhd0SEhyi/w2pWjLDhozTU5qGfBf535U1f3nqfeNm9SxeavvrL0fpYNPPk0bpv88AAAAAgI8oA6ZV2yY66DFz2nyd4WKuTsYvP/wu2zZ5ia2tjV6dJbrU1KeGDRvq4Eu6dOlk48aNOuMlICBAPD09JW3atPqaaqOmiERV+/btdfDF2dlZFi5cqPv28/OTAwcOSK5cucTHx0fq1asnvr6+FvXXu3dvefz4sZQrV+49vlvEBkPmi7ksF38/f7PZMQYuxj78TF7383uzGlhk/SS2TyxZs2eWLwd/Ji1aN5I/F63S2SrmXLtyQ04cOy2Zs2aSEqWLyrucPX1BPus6UGxsbWXa7J8lZ67s77wHAAAAAPCBBWAKFMorHbq00lOQOrXuI1/2GSoB/oH62qSfp8vg/iOkduUWsnThX/pcjz6d9JvN6FqwYIGcPHlSH69YsULq1KljnNpTt25dWblypb6m2qi2UaGyZtavX6+Pp0+fLu3atTMWLy1btqwO8CRJkkRu374tEyZMeGd/y5cvl1WrVkmlSpWkW7du7/HdIjaErc/ytoc+jyQgINBkfZiwMmXOKLa2tnLj+u0o15kxxVAQ+NjhN3+3o5v98ib4MkBev3qtgy8FCuWzaBwAAAAAgA8sAKOoJah7fd5ZXr58pQuJqpowysK5y2XH1j3y7NlzsbWzld79ukr3zzrEyADVFCClcuXKUrFixQjX1TnDeTUV6X36zp49u7Rp0ybCdZUB07JlS338ruCOqhXTt29fHbCZOXOmxcWKEfuKl3TX+4P730wzC+vAvjfnipWMfIqZKoKrgpDXrt7Q04jCUplhhw4cFQdHB8lfMK9FY1LFeBVDwO9toaGhsmHtVkmUyE4aNqltUfDl1ctX8vusn6RQkfwWjQEAAAAA8IEGYJQevTvKuq1LpGffTlK6bHFd6DNrNjcpVqKwdO3VXtZsWiTderWPkcEFBgbKvn379LHKdjFHTRFS9u7dq++xlKrtotSuXVtnN0TW99WrV+Wff0xPvVJU8EVNVxo2bJjkyZPH4jEg9pUqW0zcMmeUTRt2hJs+5+vrJ3/MWKRr/jRoVMt43ufBI7l65bq+Hlazlg30fsrEmTroYrBy2Tq5dfOO1K1fXQdqDM6duRiunYEK4MyduVgfl69U2uSY9+7ylkcPH0v5SmV0AWxz1Guo4MvL0Jc6+FKkaEELnwoAAAAA4IMswhtW+gxppWefThLbzp8/b6zrUrCg+TeWhmuqXowqnFu06LvrZag6LXfv3rW4b+XMmTM6K+Zta9askWXLlknhwoX1ykn4sKgsk+FjBknv7oOka7svpFbdquLo5Kiztu7euSdfDu4tGd0yGNurAMv6NZtl1LivpWHTOsbzDZrUlq2bvHQh6tu37krxUu5y8/pt2bltj2RyyyC9+4efdjZx/DS5eeO2FCycTzJkTKezolSgZv+eQ3rlrQ5dPhX3YoVMjnnNyjfTjyJbKenZ0+c6+OL73E/KVSwlB/cf1VtYLsmcpW3HFu/97AAAAAAAcRyAuXvnvtjZ2UradGksav/g/kMdEFFvPN+Xqr1i4OZmvrZG2Gt37tyxKADzvn2/7cmTJ/LZZ5+JnZ2dzJ49W2dTRJeqP2OKCgCp5bEtLQiM/+QtkEt+nzVe5s5YIls27pTQ0JeS45Os0qNPB73Ec9hnqoIjSlBQUIRnPXr8N7J4/grZutFLFs9brpeGrtewhnT7rL0kTmwXrn2jZrXFa/s+uXDuknjvOywhIaGS0jW5lK1QUho2qSWlyhY3+Wep6tLs33tIUqdxlSLFCpj9875//4E8f/bm2oG9h/VmKljasGnkU5gAxD/nlPE9AsQn/l8HIsfPSOvGz0h8jFxcXKIXgKlXrZWeCrF1z5siu+/SuU0fuX/PR46e3Skx8Y/N0dHRbLuw154/fx6nfffv31/u3bsnX375pZQs+aawKj5M+QvkkZ8nj3pnu29Hfqk3U+ztE0vn7m309i5VqlXQW1Spf2deB9e9s50Kbu45siHK/QMAAAAAPvApSKbqWcRk+4+NWhJbFefNli2bjBkzJsb69fb2jjQzxlw0DQDwcfJ7Et8jQHzi/3UgcvyMtG78jIRVF+G1VHBwiF4RKab+sQUEBJhtF/ZasmTJ4qRvlQ3Ts2dPfTxjxgxxcnKy6HUBAAAAAID1iZUAjCoO+vTJU0mWLHqZGpkyZTJZs+Vtt27dMh5nzJgxTvoeMWKEvtaiRQspV66c+Pn5hdtevHgRLoijzkVlhSYAAAAAAGAFU5AuXbwcbsleRQUV1Oow5qgZR77PfWX7lt3y6tVryV8wessxq4KzanlotRLS6dOnpU6d/1akebs4raIK4ebNm9eivl1dXSVDhgx6JSTVtzmGvt9eEUktS62sWLFCb5EpUKCA3leuXFl27dpl0fgAAAAAAIAVBGC8tu2VmdPmhzvn7xcgI78db1HtFxU4ie7ytw4ODlKhQgXZs2ePrrdibolndU2pWLGivsdSNWrU0DVcNm/erMeslgk217eq82JqCWoAAAAAAID3noLkksxZL2Fr2HRjW5tw597eMmZKL7nz5pR6DWvK7IW/SZlyJSS6OnXqpPe7d++W/fv3R7iuzqkAjdKxY8f36ltlsyxdujTC9cuXL8vy5ctN9r1mzRodtDG3zZ0719hW9a/Okf0CAAAAAIB1MpsB06ZDc70ZFMtXRVKkTCGeO5ZJXOrQoYNMnjxZTp48Kc2bN9eBjVq1aulrW7Zskc6dO+tjd3d3ad++fbh7VcDDw8NDH6v7DAEXA3WtQYMGsn79eunVq5c+16pVKz2V6eDBgzroEhQUpOvFDBgwII6+YwAAAAAAYLXLUPfs00kcHC2f3hNTVDBk3bp1OliiMlJUHRjDNCNDUducOXPqNqptVC1cuFBPRTpy5Ii0bdtWB3Ts7e110VwlTZo04unpyfJnAAAAAAAg9ldB6tm3k3To0kriQ+bMmeXUqVMyevRoKVKkiA60qK1w4cIyatQofU21eR/JkyfX05gmTZokpUqV0sGdly9fSp48eWTgwIFy9uxZ/ZoAAAAAAADvy+a1Kk6Cj0LZsmX13tvbWz4mXT1WxfcQEM/meDWN7yEAHzR+Tlo3fkYCkeNnpHXjZySscgrSyG9/jHrvNjYy8vshUb8PAAAAAADAGgMw61Zv1ss0m0uYeXsJZ8OyzgRgAAAAAACAtbM4AFO/US2V0GKWn5+/nDtzUe7f85HkyZNJJY8302UAAAAAAACsncUBmNE/fvPONirrZd2qTTJu1K/i6OQoQ77rF93xAQAAAAAAWE8AxhJqylGjZnXF19dPfv1puhQrUURq1K4Sky8BAAAAAACQcJehjoomzevrYMyyxatjo3sAAAAAAICPSqwEYJycHfV26eK/sdE9AAAAAADARyVWAjDPnj4X3+d+Ehr6Mja6BwAAAAAA+KjESgBm8oQZep8tW+bY6B4AAAAAACBhFuFdv2ZzpNeDXwTLvXs+4rV9r1y9fF3XgGnYtE5MjBEAAAAAAMA6AjAjvvlRB1UsWYpaqd+olnzarmn0RgcAAAAAAGBNAZj0GdJJZPEXu0R2kiyZi+TOm1Nq16supcoUi6EhAgAAAAAAWEkAZuPOZbE7EgAAAAAAgAQqVorwAgAAAAAA4D8EYAAAAAAAAGIZARgAAAAAAID4qAEz8tsfY6Z3GxsZ+f2QmOkLAAAAAAAgIQVg1q3erJecNiwpHVWGe9WeAAwAAAAAALB2JgMw9RvVinTJaQAAAAAAAEQzADP6x2+i0AUAAAAAAAAiQxFeAAAAAACAWEYABgAAAAAAID6mIL1LcHCwHNh3RM6eviBPHj3R51KmSikFCuWVchVKir29fUyPEwAAAAAAwHoCMCv+XCvTJ/8hz54+N3k9eYpk0qdfV2nWqmFMjA8AAAAAgHh19vR5mT5lrpw6cVZCQ0MlV+4c0q5TC6lZp2qUEhnmzloinuu2yv27PpIsuYtUqlJW+vTvJq6pUoZre/H8P7J96x45dOCo3Lp5R/x8/SVtutRSrmIp6darvaRNlyZC/9Mmz9Hju371hjx98kwcHBwkQ6b0UrdBdf3+3MEhqbGtWrV4/95Dsnvnfjl1/IzcvXNff1+Zs7pJrToe0q5zS0mSJEk0nxqiFYD5bcIMWTDnT+Py1GnSppZ06d/8wd+/5yM+Dx7qP+hxo36V27fuyRcDekSlewAAAAAAPihHDh6X3t0HSRJ7e6lVt6o4OjnKjq17ZMiXo+TeXR/p0KXVO/t49eqVfNl7qBzYd1gKFckv1WpWlhvXbsnqlZ5y+OBxmb9suri6pjC2/37kRDl96pwULJxPv6aaZXL673OyYula2bZ5l/yxeIpkz5E13GssW7xasmR1kzLlS4qra0oJ8A+Qo0dOyoQfp8r6NVtk3tKpxiCMCgZ93mOI7rdEKXcpW6GUvHjxQrz3HZHfJ80Wrx37ZNaC38IFbRCHAZgTx/6W+bOX6mOP6hWkd79ukvOTbOHaXL1yXX7/dbZ4bd8r8+cslYpVykjR4oVjYJgAAAAAAMQtlRUyZvgvYmtjK3MWTZY8+XLp8z36dJT2LXrJ77/Okuq1KkvGTOkj7Wf96s06+FK7XjUZ98swsbGxMc4wGTdyokybNFu+Gz3Q2L5O/eoy9qehOqASlsqgmTxhhkwcP02mzBgf7trWPX+ZzFr5bvBY8Vy3Tdat2iSt2jbR52xt7XTmTcvWjXUmjkFISKgM/GKY7PE6IMuXrJaOXVu/13NDNIvw/rlold7Xb1RLJkwZGyH4oqgI3IQpY6RB41o6S0ZF4AAAAAAA+BgdOXhCbt64LXXqVzMGXxQXF2fp0rOdhISEyPo1m9/Zz6oVG/T+8696GIMvSvNWDcUtc0bZuGG7BAW9MJ5v3b5ZhOCLorJtkiZNIseOnIpwzdyUoeq1PfRefR8GiRMn0lOZwgZfDOe79Girj48djvgaiKMAzKkTZ/RfFPUX5l36fvnmL9WJY6ejOTwAAAAAAOLH0cMn9F5N63mbWoBGOW4iGBKWmtpz5u/zki17lgiZMup9c+lyJSQwIFDOnbnwzvGo9okSJRI7OzuLv4d9u7z1Pmeu7Ba1V/0rdoksfw3E8BSkJ4+f6ShfmrSp3tlWtVFtVT0YAAAAAAA+Rjeu39J7U9koqdOkEkdHB2Mbc27duKNrwGTJmsnkdUPfqp9iJYpE2tf2LbvEz89fatSuYrbNvNlLJCjwhfj6+snJ46fl3JmLUrZ8ST2bxRJrV23U+7LlS1jUHrEQgFHFdwICAiUkOEQS2yeOtK1qo9qqv4wAAAAAAHyM1OpDirOLk8nrTs5Oxjbm+Br7cDZ53dnZMdxrmXPv7gP56fspegpS7y+6mm03f/af8vTpf8kQ9RrWkG9HfKWnF73Lvj0H5a9l6yV7zqzSuHm9d7ZHLE1BypErm7x8+VI2bdj+zraqjSpWpO4BAAAAAADvT80u+bzHYHn86Iku1pstRxazbb0OrpMTF3bLtr2rZNzP38nRwyelfavP5P69B+9cavvrL0fpYNPPk0bpFZIQTwGYmrU9dGHd8WN/k10795ttt3eXt/z0/WQ9N61WFNZEBwAAAADgQ2LIfDGXneLv5282O8bAxdiHn8nrfn4B4V7LVPClZ+ev5PK/13QmS72GNS0au5oiVadBDb1QzpV/r+mVk8w5e/qCfNZ1oNjY2sq02T9bXC8GsTQFqVmrhnqN8n8uXpYBfb+TvPlzSZlyJSRdhrT6+oN7PnLI+5ieX6YCNbnz5pSmLRtEcTgAAAAAAHwYwtZnyV8wT7hrD30e6dIbBQvni7SPTJkziq2trdy4/t8qRJbWmTEEXy5d+Fe+Gd5fmn/aMMrfQ4FC+fRqRyoTxnzwZYC8fvVaps35RbdHPAdg1HyxqbN+kgGfD5PTp87J+bOX5MK5f8K1UYEXpbB7Afll8miL5pgBAAAAAPAhKl7SXf6YuVgO7j8itetVC3ftwL4jel+sZOSFc1XNlgKF8ur30Xdu3wu3EpJ6D33owFFxcHSQ/AXzmg2+DPmun7Rs0+S9vocA/wCdwaMyYswFX169fCVTZ/8shYrkf6/XQAxPQVLUH9jcJb/L+F9Hikf1ipI2fRodZFGbOq5ao5L8NGmU/LF4isk/XAAAAAAAPhalyhYTt8wZZdOGHXLx/H8JCGqFoT9mLJLEiRNLgzCrC/k8eCRXr1zX18Nq9v+zQ6ZMnGlMXFBWLlsnt27ekbr1q+tAjcGzp8+lV5c3wZdB334un7ZrGuk4VR/qnreFhITKzz/8rldhqlCpdLhravaKCr68DH0pv8/6SYoULRilZ4Ooi3KKikqdUkteRbbsFQAAAAAAH7tEiRLJ8DGDpHf3QdK13RdSq25VcXRylB1b98jdO/fky8G9JaNbBmN7FWBZv2azjBr3tTRsWsd4vkGT2rJ1k5ds9twht2/dleKl3OXm9duyc9seyeSWQXr37xbuddXMk4vn/5XsObLI82e+8r8pcyOMrW3H5uKSzEUfHz9ySr4fOVHcixcSN7cMkjxFcnn08JEuE3L/no9e1ajPl92N96pgjQq++D73k3IVS8nB/Uf1FpZLMmdp27FFjD5Pa8ccIQAAAAAAzChZppjMXfy7TJ/yhw6iqBV/P8mdQ/oN7KkDMpYmMvw67XuZO3OJeK7bKovnrZDkKVykcfO60qdfN3F1TRGuvZqqpFy9ckNmTJ1nss+GTWobAzBFihWSpi3ry4ljf8ul8//qDBxHJwfJniOrtG7fTE9fcnBIGq54sArsKAf2Htbb2zJkTE8AJobZvA6b/xQNjx8/lZPH/tZVk0uULGL8i4CYU7ZsWb339vb+qB5rV49V8T0ExLM5XpGnTALWjp+T1o2fkUDk+Blp3fgZCavMgFFFd1f+uVZyfJItQhRMpVGN+u4nCX4RrL92dHSQ0eO/FY9qFWJ+xAAAAAAAAAm1CO+mDdtlzV8bdfGesB7cf6iDLy+CXuhiQmrz9w+QbweM1nPbAAAAAAAArJ3FAZhjR96sGV7lrayWVcvX6+CLyoz5y3O+bNj+p7gXKyjBwSGydOFfMT9iAAAAAACAhBqAeejzWGxsbCRDxnThzu/d7a3P9+nXVRf4UWuaD/r2C50Jc9j7WGyMGQAAAAAAIGEGYJ49fSYuLs56GS6DoKAXel1ydU4tXWWQr0Bufc5QuRkAAAAAAMCaWRyAUasbqdouYZ09fUFevnwlefPnkiRJkoS75uTsKCEhoTE3UgAAAAAAgIQegMmQIa28fPlSzp4+bzy3e+d+Pf2oSNGC4dqqQr3+fgGS0jV5zI4WAAAAAAAgIQdgipV013Vdfhg9SU6fOide2/fqArxKhcplwrW9euWGhIaGSpq0qWN+xAAAAAAAAB+Z/wq6vEP7zq3Ec+0WOX/2knRq3UefUwEZVe+lVJli4doe2HtI7wsUyhvT4wUAAAAAAEi4AZis2dxk0vQf5PuRE+TWjTtia2srZcqVkBHfD47Qdv3qzXpfolTRmB0tAAAAAMBqOAwbG99DQDwKHPOddQZglNJli8u6LUvkyZOn4ujoEKHwrqIK7w7+rp8+JgMGAAAAAAAgCjVgwkqZMoXJ4IuSOHEiKVHKXW8ODklj7Bn7+/vL2LFjxd3dXVxcXPSmjseMGaOvRUdISIhMnjxZypQpIylTphQnJyfJly+fDB48WB4+fGj2Pj8/P1m+fLl0795dihYtKsmTJ5fEiRNL2rRppVq1ajJt2jQJCgqK1tgAAAAAAICVZcDEl5s3b4qHh4dcvnxZf+3g4KDrz5w6dUpv8+fPFy8vL8mcOXOU+3727JnUqFFDjhw5or+2t7fXQZQLFy7obd68ebJt2zYpUqRIhHtV0OXff/81fq3uU8EbHx8f2blzp95+++032bhxo+TMmTNazwAAAAAAAFhZBszObXtkcP8RUr/6p1K2aC29qWN1Tl1TwZGYopa+btiwoQ6+pEuXTgczVMZLQECAeHp66mwTdU21UctfR1X79u118MXZ2VkWLlyo+1aZLQcOHJBcuXLpYEq9evXE19fXZOZM3rx5Zfz48XL69Gl58eKFPH36VB49eiTjxo3TgaJLly5J3bp19TUAAAAAAGCdohSAeXDfR6+ANKjfCNmxdY/cuX1PXgS90Js6VufUtY6f9pZ7dx/EyAAXLFggJ0+e1McrVqyQOnXqiI2Njd5UYGPlypX6mmqj2kaFyppZv/7NUtrTp0+Xdu3aSaJEb5KCypYtqwM8aqrV7du3ZcKECRHuV9kx586d01OVChYsqMekuLq6yjfffCOzZ8/WX6sgjGGcAAAAAADA+lgcgPH3C5BuHfrJ6VPndIZL/oJ5pFO3NjLku35669y9jS66q66dPX1BenTqr++JLhXkUCpXriwVK1aMcF2dM5xXU5Hep+/s2bNLmzZtIlxXGTAtW7bUx6aCO1WqVDEGXUxp1aqVrlWjGKY4AQAAAAAA62NxDZi5sxbr5aedXZzk+5+HScXKZUy227/3kHwzYLTcvnlX39P3y+7vPbjAwEDZt2+fPlbZLuaoKUJ79+7Vm7pHTf2xhKrtotSuXVsvq22ubzU16erVq/LPP//ooIyl7OzsdF0YJTQ01OL7AAAAAACAlWbAbN+yW2d7fDOsv9ngi1K+YmndRmXCqHui4/z588a6LmqKjzmGa6pejCqca4nHjx/L3bt3Le5bOXPmjESFmhalXkcxVcQXAAAAAABYB4szYO7dva/ro9So4/HOttVre8jIoT/J/XvRqwOjaq8YuLm5mW0X9tqdO3f06kSx1XdUqNowhpowLVq0sPg+VX/GFBUAUstjmyoI/CFzThnfI0B8+9j+zgJxjZ+T1o2fkUDk+Blp3TImTRLfQ0A88v1I30cYSpG8dwDG2cVZQkNCjUVqI5M4cSJJ6pDEOP0mJh62o6Oj2XZhrz1//jze+1bGjh1rnOKkCvimSJHC4nsBAAAAAEDCYnEAJn+BPLq+i1rdKH2GtJG2vXvnvvg+95OKVUxnciR0qmDv8OHD9XH37t2lU6dOUbrf29s70swYc9G0D5Xfk/geAeLbx/Z3Fohr/Jy0bvyMBCLHz0jrdifoRXwPAfHIJYG9j7C4Bkz7zi11DZhffvhd13eJzMTxU3Xb9p1bxdjDDggwv6JS2GvJkiWL174XL14sXbp00c/o008/1ctbAwAAAAAA62ZxAKZkmWLy9bD+ssfrgPTo2F8OeR+TkJD/VvZRx4cPHtfX9nh5y7cjvpQSpdyjNbhMmTKZrNnytlu3bhmPM2bMGG99q8yXDh066GLAKviyaNEivRISAAAAAACwbianINWv/qn5GxInkuNH/5beXQfq4EKKlMn1+adPnunAg5I0aRKZO2uJzJu9VNZvW/reg1MFZ9Xy0GolpNOnT0udOnVMtjOsTqTGkzdvXov6VoVxM2TIoFdCUn2bE3blo8hWS5ozZ4706NFDj7V169Z66WqCLwAAAAAAwGwGzJ3b98xuQYFBenqN2kJDQ+WhzyO9qWPD+cDAIGP76HBwcJAKFSro440bN5ptZ7hWsWJFfY+latSoofebN282O63K0He2bNkkV65cJtvMnDlT13pRwZe2bdsSfAEAAAAAAO/OgBk57mv5UKgCtnv27JHdu3fL/v37pXz58uGuq3PqutKxY8co962mDV29elWWLl0qbdq0CXf98uXLsnz58kj7VjVe+vTpowM4qs0ff/yhs3YAAAAAAAAiDcA0bFJbPhSqpsrkyZPl5MmT0rx5c5k7d67UqlVLX9uyZYt07txZH7u7u0v79u3D3btr1y7x8PDQx+q+t1cjUtcaNGgg69evl169eulzrVq10lOHDh48qAMqQUFBul7MgAEDIoxt2rRp0rdvXx186dq1q86EIfgCAAAAAADeexnq+KKCIevWrdPBEpWRourAGKYZBQYG6n3OnDl1m/epuaJqtaipSEeOHNHTh1RAx97eXvz8/PT1NGnSiKenp8nlrwzBF0UFcSIr0luuXDlZtWpVlMcHAAAAAAA+fh98AEbJnDmznDp1SiZOnCh//fWXDsQohQsXlmbNmunsFCcnp/fqO3ny5Hoak8pmWbJkiVy8eFGCg4MlT548Ojtm8ODBOghjSti6MQ8ePIj0dR4/fvxe4wMAAAAAAFYcgFHBh+fPfHXBXXMFbJUMGdNJTFABlmHDhunNUlWqVIl0bAaJEyeWfv366S0qLOkbAAAAAAAgygGYvbsPytIFK+XUiTMSFPQi0rY2NjZy9OxOnjIAAAAAALBqUQrATJk4U+bNXmpx5gcZIgAAAAAAAFEIwBzyPiZzZy2RRIkSSd8vu0uFyqWlef1OktI1hcz/c5o89Hkk3vuOyLLFq8XWzlZG//iN5MiZjWcMAAAAAACsnsUBmBVL1+opRV17tpMOXVoZz6tll90yZ9Sbe7FC0rh5PenW/gsZNfQnWbb2D6t/wAAAAB+Ks6fPy/Qpc+XUibMSGhoquXLnkHadWkjNOlUt7kMtVqA+lPNct1Xu3/WRZMldpFKVstKnfzdxTZXS5D0b12+TJQtWyuV/r0nixInEvWgh+eyLLpKvQO4IbV+9eiXLl6yRtas2yrUrN/Qql7nzfSIdunwqVaqWj9D+4vl/ZOsmLzl/9pKcP3dJnj55JsVLusvshb+ZHItqv33rHjl04KjcunlH/Hz9JW261FKuYinp1qu9pE1nevEFAACiy9bShmf+Pqf3TVs2eOvK6whFd4d8108ePXws82YtifYAAQAAEH1HDh6XTm36ysljp6Vm7SrSvFVDeejzWIZ8OUoW/LHMoj5UcOTL3kPlf1PmSooUyaVNx+ZS2L2ArF7pKR0/7S2PHz+NcM/s/y2UoYPGyuNHT/Vr1qhVRY4fPSWdWveRk8dPR5i+Prj/SBk/9jfx9wuQRs3qSq26VeX61ZvyZe9v5c9FqyL077V9n/wxc7EcPXxSUqd2fef38P3IiTJ7+gL9Wqrv1u2bSdr0afSHja0ad5WrV65b9CwAAIi1DJgnj5+JfRJ7SZM2lfGcnZ2tBAUFR2hbvlJpvbLQ3l3e8tWQ3lEeFAAAAGKOynYZM/wXsbWxlTmLJkuefLn0+R59Okr7Fr3k919nSfValSVjpvSR9rN+9WY5sO+w1K5XTcb9MkxnRysr/lwr40ZOlGmTZst3owca21+/dktm/D5XsmbLLAtX/E9cXJz1+ZZtGkuHVr1l9LCfZeX6eTqjWtm+Zbfs2LpbZ1VP/2OCJE2aRJ/v+1V3adusp/z603SdbZPRLYPxNWrUriKVq5aXT3LnkGdPn0mNik0j/R7q1K8uY38aKlmyuoU7r7J6Jk+YIRPHT5MpM8ZH8QkDABCDGTCOjg6SNMmb/wTDLg0d4B8QYTUklSqqgjX37/tY2j0AAABiyZGDJ+TmjdtSp341Y/BFUQGRLj3bSUhIiKxfs/md/axasUHvP/+qhzH4oqjMFjUdfeOG7eF+L1y3aqOEhr6Urr3aGYMvihpD7XpV5erl63Li2H9ZMLt37tN7NSZD8EVJmTKFniqlpj+tXbUp3Jhy5squpzKpqU2WUBkvbwdfFDXFXr3msSOnLOoHAIBYC8CozBc/Pz8JCQk1nnPLklHvz/x9Plzbe3cfiL+fv/z33zIAAADiy9HDJ/S+TPmSEa6Vq/Dm3PF3BB5evHihf+fLlj1LhEwZFYwpXa6EBAYEyrkzF8K87km9L2vidctWKKX3x468aaM8fPhY7zO5RczEMWS9HDl0XGKD+h7UYhPqg0QAAOJ1ClL2T7Lpwmn/XLws+Qvm0edKli4q585clJlT50nBwuP1pwbqk4mfx03W13Pn/SRWBg0AH2uByXWrNsmIb3+M9PVLlSkmM+b9avxa1VqYMXWe2fae2/8Ml44ftlbDutWbZO1fm+Tff65KaEiILi7pXqygDB7aT5ycHS14GgASghvXb+m9qcyP1GlS6UxnQxtzbt24o3+uZMmayeR1Q9+qn2IlihiPVd/qNSJrb6Dqyii3b92LsJrmnVt3jdOaYsP2LbvEz89fT2kCACBeAzBlypWQbZu8dF0XQwCmRevGuhiaStWsXbm5ZM2eWf8n+vyZr/4UoVXbJrEyaAAwV2Cyd/dBksTeXhdWdHRylB1b9+gCk/fu+oRbwe1dBSZVjYNCRfJLtZqV5ca1W7rA5OGDx2X+suni6poiQoHJqZNmS4aM6XUavpqauWXjTl1gcsa8ibqWgUGefJ9Izz6dTL729q275fI/V6Xs/38a/bYGjWubrM/gkuy/tP6wQaRBXwyXPbu8JVeenNKwSW2xt08sd+/cl317Dknvfn4EYAArolb6UZxdnExed3J2MrYxx9fYR8SfOfr8/wd1w/ajAhqurinNvubb7VUdQfXzc+6sxVKqTFFJ8v/T39XKRovnr3gzjud+EtNU9vZP30/RHyb2/qJrjPcPAECUAjDVa1aSB/d8JE261MZz6o3AuAnDZcQ3P8jz575y+tSblZJUIbXOPdrqAm0AEBc+lgKTalxh6y8YhASHyLLFqyVRIjsdaDFFBVFKlC5q0fOYPGGmDr58MaCndO7eJkKQCQA+RKpArvo5fOTQCWnRsLOUq1BK15DZtWOfMQPR1jZmJ7mr4M7nPQbL40dPZMz4byVbjiwx2j8AAFGuAeOSzEV69u0kTVvUD3feo1oFWb91qf4PS6Xnfz28v6zetFD69OPTAwBx52MpMGmO14698vTpM6lYpayksmAZ1cg8uO8jyxavkqIlCkcIvigqGGQICAGwDobMF3NZLqp2n7nsGAMXYx+mM1D8/ALCvZY+1pk1fmZf8+32qgbL77N+kl59O+uA+qrlG2Tntj1SpWp5+fm30bpNSjNTQd83+NKz81d6+ui3I76Seg1rxljfAAC8dwZMZJKnSMZ/WACsosDkX8vW6QKThvoG7yowuW71Zl1gsnjJN+3NWb3CU++bNA8f5A7r2NFTcvrv8/rTX1U7oXTZ4nqa1dvUMq4qKFSjVhXx9wuQ3V779dSjVKlT6k+TVR0YANYlbL0Vw1Ryg4c+jyQgIFAKFs4XaR+ZMmfUwdsb129bXGdGHf998qx+jbfrwJirS2Nvb68/9FNbWEcPvfk5n79A+PFHN/hy6cK/8s3w/tL804Yx0i8AALEagAGA+PaxFJg05c7te7q+TLr0aaRcxTergpiiivG+Xftl0LefR5iydO7sRb339fWTxnXa6Tc+BokTJ5YvBvSQdp1aRjomAAlL8ZLu8sfMxXJw/5EIU8QP7Dui98XeEShW9VEKFMqrp5yrn1thA9WvX7+WQweOioOjg+QvmDfc66oAjPf+IxF+VnnvO2xsY4mNG7bpvcoujMngy5Dv+knLNtQtBADEPnLQASQI8Vlg0lx7UwUmTVErI6nAT4MmdUwuf5o7b04Z+f0Q2bD9Tzl4aqte9Ui9YVBZOSO++VF27dwfrv2TR0/1fubU+frelRvmy76jm2Ty/36UFCmTy4Qfp8q+PQcjHROAhKVU2WJ6GuWmDTvk4vl/jOdVoPaPGYt0cLZBo1rG8z4PHsnVK9f19bCatWyg91MmztRBF4OVy9bJrZt3pG796jpQY9CoaR1d22rO/xaF60uNYbPnTsmeM6sULf5foXLDz9W3bdu8S6/opgJAVWtUitazePb0ufTq8ib4ooLYn7ZrGq3+AACwFBkwABCPVOBl7epNOpjSuFldk23efrOhlpxWbxjUG5fPugzQhYFVfYSwfSopXVPIL5PHiINDUv21qi8zfOwg+bzHEFk4d7lUqFQmVr83AB8OVVtl+JhBeqW4ru2+CLdS3N079+TLwb3DLWevAiyqbtaocV9Lw6Z1jOcbNKktWzd5yWbPHXL71l0pXspdbl6/reu0ZHLLIL37dwv3umqFzJ59O+uV4lo16irValYyrhSnqDG9XZOqQ8teki59Wv0zLkkSez01VE33VAGknyaNihCoVoGiuTOXGKeSKteu3pDhX/9gbDP6x2+MxwM+HyYXz/8r2XNk0St3vp1dqLTt2FzXPwQAICYRgAFgNQUmkyV3ifcCk287dOCY3LtzX0qVLa7fvESFqgHjliWj/HPpyptMnP/PuDG8XulyxY3BFwNVA0bVVzh35s00JQDWo2SZYjJ38e8yfcofOoiiVo/7JHcO6Tewpw7IWEIFS36d9r0OeHiu2yqL562Q5ClcpHHzutKnXzdxdU0R4Z5uvdrr6UpqGemVf66VRIkT6yLharnnfAVyR2hfs05VHdBRU53UGFVgqNv/tXcecDeX7x+/VcjMjpKQVRElJAkJoaSplN2gScOv0lIaEmUUooyGQhKRlVGk7D1ChNJA9qzO//W+6j7/73Oc8wx5cjzP5/16ndcZ33nOw3Vf9+e+RrvmrkWbW8J2Lsi237YfUWR929aEnwUFGNKnYP33G13/NwbH7DonAUYIIcSxRgKMECJNcCIVmAzyyci/uy5dd2NDdzTkynWarT4f2H8gPDGhiDAEuzJ5+H5Zs2Wx4rxCiPQHdvCNAd2S3A/BIihaJKdIbmI0uKaOPZJD2/tb2SO5XFzlQrdw1Yxk7z9+6kfJ3lcIIYQ4lqgGjBAiTeCLOFJgMpKUFpgkdN2vkCanwCRQYDKSpApMUgRy+hez3Gmn5XRX1KnuUsr+ffvd92s32D1R2yW4yg3fr/vhiGO2b99h143s8iSEEEIIIYRIXSTACCHSBCdSgUkP4fuHDx92DRrVsRXlaBCp8sP6TUd8fuDAQffcU93c3r37XN2ralp9Bw8tr7nunNnzEwhSfJ8+r71lr+vUrxXztxRCCCGEEEIce5SCJIRIE5xIBSY9o0eOSzL9aOeOne66Bs0sMqdY8bNd3vx53Pat2923s+e7X37+zZUsVdy1f7RdgmMoUMn3uqtlB3f/3f+zIr4FTs/vFi1YasUszz2vlGt9Z9Oj/KWFEEIIIYQQR4MEGCFEmuFEKTAJCCFr16y3egwlS58T835y5srpbr61sVu2dKW1jt69a7fLnDmzRbjc2uwG1+S26xNE5HjKlT/PvTe8n+vbe5CbM3uB27N3rytU6HTX+q7bXJu7b7e0JSGEEEIIIcR/R4ZQMMZexDVVq1a159mzZ7sTiTa1Rh3vWxDHmbenXX+8b0GIuEZ2Mn0jGylE4shGpm8+uGzF8b4FcRzZ//yTaer3Vw0YIYQQQgghhBBCiFRGAowQQgghhBBCCCFEKiMBRgghhBBCCCGEECKVURFeIYQQQojjSJanuuj3T8ektfoGQgghYqMIGCGEEEIIIYQQQohURgKMEEIIIYQQQgghRCojAUYIIYQQQgghhBAilZEAI4QQQgghhBBCCJHKSIARQgghhBBCCCGESGXUBUkIkeqow0f6Rh0+hBBCCCGEUASMEEIIIYQQQgghRKqjFCQhhBBCCCGEEEKIVEYCjBBCCCGEEEIIIUQqIwFGCCGEEEIIIYQQIpWRACOEEEIIIYQQQgiRykiAEUIIIYQQQgghhEhlJMAIIYQQQgghhBBCpDISYIQQQgghhBBCCCFSGQkwQgghhBBCCCGEEKmMBBghhBBCCCGEEEKIVEYCjBBCCCGEEEIIIUQqIwFGCCGEEEIIIYQQIpWRACOEEEIIIYQQQgiRykiAEUIIIYQQQgghhEhlJMAIIYQQQgghhBBCpDISYIQQQgghhBBCCCFSmRNGgNm7d6/r0qWLq1ChgsuRI4c9eP3888/btn/D4cOHXa9evdwll1zicufO7bJly+bOPfdc17FjR7d169ZUP14IIYQQQgghhBBpm1PcCcCmTZtcrVq13Lp16+x9lixZXCgUcosXL7bHkCFD3LRp09xZZ52V4nPv3LnT1alTx82dO9feZ8qUyWXMmNGtWrXKHoMHD3aTJ0925cuXT5XjhRBCCCGEEEIIkfaJ+wiYP//80zVq1MjEl9NPP92NHz/eIl727dvnxo0b5woUKGDb2Oevv/5K8fmbNWtm4kn27Nndu+++a+fes2eP+/rrr13JkiXdb7/95ho2bOh2796dKscLIYQQQgghhBAi7RP3AszQoUPdokWL7PWIESNc/fr1XYYMGezRoEEDN3LkSNvGPuybEoiaGTt2rL3u27evu/32290pp/wdFFS1alUTeDJnzux+/PFH171792N+vBBCCCGEEEIIIdIHcS/AkMIDNWrUcNWrVz9iO5/5z0lFOppzFytWzDVt2vSI7USw3HzzzfY6mrjzb48XQgghhBBCCCFE+iCuBZj9+/e7mTNn2muiXWJBig989dVXdkxyoTYLXHXVVe6kk05K9Nzr1693a9asOabHCyGEEEIIIYQQIn0Q1wLMypUrw3VdypYtG3M/v416MRS+TQ7bt293W7ZsSfa5YdmyZcfseCGEEEIIIYQQQqQf4roLErVTPIULF465X3DbTz/95C688MJUO/exOj4xqB8TjXnz5llNmcqVK7sTiU1rdx7vWxDHmdC6A8f7FsRxpPLEMfr9k0B2Mn0jG5m+kY1MGtnI9I1sZPqm8gnqR9IFecCAASeWABPsHJQ1a9aY+wW37dq16z85d2reWywo8JstWzZ38sknuxOJoqXzHO9bEMcRIr8y/p54pJgQ6R3ZyfSLbKQQSSMbmX6RjRRpjbgWYNIrs2fPPt63IMQxw0d06d+1EELIRgohhPxIkZ6J6xowOXLkCL/et29fzP2C23LmzPmfnDs1700IIYQQQgghhBBpi7gWYM4888yoNVci2bx5c/j1GWec8Z+cOzXvTQghhBBCCCGEEGmLuBZgzj333HB756VLl8bcz3cXojZKmTJlknXuPHnyuEKFCiX73BCsYfFvjxdCCCGEEEIIIUT6Ia4FmCxZsrjLLrvMXo8fPz7mfn5b9erV7ZjkUqdOHXueMGGCC4VCiZ67aNGirmTJksf0eCGEEEIIIYQQQqQP4lqAgZYtW9rzjBkz3KxZs47YzmdffvmlvW7RosVRnXv9+vVu2LBhR2xft26dGz58eMxz/9vjhRBCCCGEEEIIkT7IEIoVuhEn/Pnnn+7iiy92ixYtcgULFnSDBg1y9erVs20TJ050rVq1cj///LOrUKGCmzdvXoIWzdOnT3e1atWy1xznBZMgjRo1cmPHjrWiuv369XNNmjSxc3zzzTcmmnz33XdW72XlypUJCu8eq+OFEEIIIYQQQgiR9ol7AQY2bdpkQgoRJeDTjPbv32/P55xzjps2bZo766yzEhyXHAFm586dlko0d+5ce58pUyZ77Nmzx97nz5/fTZ482ZUvXz7qvf3b44UQQgghhBBCCJH2ifsUJEBYWbx4sXvuuedMyCDChMcFF1zgOnfubNsixZfkctppp1ka0+uvv+4qV65s4g5RN6VLl3aPPPKIW758eaLiyb89XgghhBBCCCGEEGmfEyICRgghhBBCCCGEEOJE5oSIgBFCCCGEEEIIIYQ4kZEAI4QQQgghhBBCCJHKSIARQgghhBBCCCGESGUkwAghhBBCCCGEEOK4cvDgQXv+66+/0uxfQgKMEEKcwPzyyy/uu+++O963IYQQcceuXbvcvHnz3IEDB+y9+k4IIUR8smTJEleqVCl38803u0OHDrmTTjopzdpsCTBCCHGCsnPnTle2bFlXu3Ztt3DhwuN9O0IIEVc0b97cVa5c2Q0aNMjeZ8iQ4XjfkhBCiCiUKFHCtW3b1o0dO9a1bNnSxJe0arMlwAghxAkIA9Npp53m3nvvPZcpUybXokULN3PmTNv2559/Hu/bE0KI406PHj3cdddd5zp06OAGDhxon6XVFVUhhDiRyZo1q3vooYfcXXfd5T788EPXrVs3t2fPHpcWyRDSSCSEECc048ePd1dffbW75JJL3IwZM1zGjBmP9y0JIURc8Ouvv7qLLrrI7dixwy1YsMBC3IUQQsQXf/31l6UdrVu3zt1///1u0qRJrn///q5NmzZpLhpGETBCCHECkJhW3qBBA3ffffe5b775xj3xxBPhAmZCCJEeiFWskc8LFCjgnnnmGXPecepXr15t27T+KIQQ/x3Y4z/++COB7Q2+RnyBc845xz311FO2/6uvvuq2bt2apsQXkAAjhBBxCoOPH5ySGnwefvhhV6FCBde9e3f35Zdf2meaYAgh0rJ99MKLd9wj8XbzlltusXowkydPtrRNkH0UQoj/Duz0KaecYnaZiMTt27fb62i2uGrVqu7WW281wfytt95KcwuLEmCEECIOYACKHIQYrBicGKSmTJliA1GsScPZZ5/t7rjjDntNyCaktRUDIUT6JJZ95LF37173xRdfmPAc6aR7G5gjRw5377332usBAwbYimos0UYIIcTRQQ3CYB3CoN3esGGDRWmXKVPGlSxZ0lKLJkyYcIRt9+9vu+02d8YZZ7gPPvjArVy5Mk39STT6CCHEcYJBxg9UTBQiBRM6G9WvX9/ly5fP1a1b19WoUcN17NjxiJaq/plik2eddZZNRr7++uv//PsIIcSxxEe4RLOP1HZp1aqVy58/v6tTp47ZStIxf/zxx6jnOu+881zDhg3tuFGjRqlYuRBCHGPB5eSTT7YHbN68ORzhQurR//73P/f222+7U0891eXKlct9+umnrlGjRrbAGI2KFSu6atWquRUrVoSbTKQVJMAIIcR/SHCgYmDyA9WyZcvcxIkT3U8//WTvN23a5Nq1a+fWrl3rmjVrZi35CN187bXXXKdOncLHB58LFSpkLalpT00x3rQWsimESF+RLj5K5bvvvjNnfdGiRfYe29a+fXuzmY0bN7YaWBdccIGbNm2aRQJu27YtfL6gkINIAxR3RIgRQghx9AQFFyCiBVGlYMGCrmbNmubHEnHYq1cv99VXX7nXX3/dGkesWbPG/FmEGZ7Zx+N9WhYfEdcB256WOOV434AQQqRlsSU4MIF/v3//fpclSxbXs2dPG3w2btxon1epUsUGLMLq2Wf06NHu/PPPt21z5sxx9erVc3379rWaL4Rm+srwvno8A96wYcPct99+azm2p59++nH45kIIkTjR6rd4x3v37t2WNoTo0rlz57DwcuaZZ7rWrVtbVyNEa2oD0AEOfvvtN9e0aVMTZVhRbdKkiV0jaINZTS1RooRFF27ZssVEayGEEIkTqwvRkiVLrGAudbaKFy/uHnjgAfN98U9///13S4nHd0Voee6556yuiwd7jWAza9Yss8lebPFgu88991wbC/CRsfFEPKYFFAEjhBCpRKT4AoRSEnpJbutnn33mnn32Wav43rZtW4t0QTihVsGjjz7qunTpEhZfWPGtXLmyu/HGGy0F6fPPP4/a/YMw+9NOO81WFxBxhBAiHvE1XIJgsy688EJXtmxZs3FE+2Hj6F6EY8/r559/3t10000mvHjx5dChQ+aYY0fho48+OuJagPiC6EJovI+SEUIIkTiIL4cPH7ZahMFIbt6PHTvW9e7d22wzIgz2F1+Wxw033GDiys8//2x+L8eG/olMxGZfccUVbs+ePSbSYMcjyZMnjytatKjVQiQyPK0gAUYIIY4SBpFY7U99yCThlkEIqSSyhdQiJhU8WOV988033ZAhQ2zCwXnJkSWEE7gG6UdAuD1wTLQJRqlSpewanN8fI4QQx4Ogox7J0qVLLbrFO9Xsmy1bNpc9e3YTYh555BFb/aSmFZGC2FIK6LKyik0kGgZ4nSlTJntNBGDOnDnDNQWCIjh2lfMXK1bMJhKkagohhEgahBYEbKKwg+mbdCtiofCbb75xixcvdmPGjHEXX3yxy5gxoytQoIB78sknbdFx165dZnO9TQ79I8LQvROfdd68eRYxEwk2m+OJoElLPq0EGCGE+BcrAol10rj22mvdQw89ZAOXnygwIBFmSfg8EwWiXZhwMLgAYfNEsTCh8MV2uYYftC655BI7bvr06VEnGGwjAoYJRrTBTAghjmcUoBetu3btagIM9QAii4mz2smKKbVd8ubNGz6GQuTUuQIvungbzPHsW6lSJVtR9WlL/lj/TMc4IAom+LkQQqQHsHmx7B5FzLG/kRA5iNCCX+ltJxQuXNiEGaDIuU9T8va8XLlyZpOJ4kZ0D24DImZYOES8iVZAPXfu3HYsNWLSUkq9BBghhEgEBqlgyGQQQtipxxLpyHsxpXnz5vY8e/bsBNt9niupRwwoQWWfwYhUI3JdfUFeT1ITDH+PfoJBjYPg50IIkRr2MZozT6TfoEGDwumS3i4GW4yC79jmHffq1auHhRUEF//ar4ZSx4X369ats2sE78VHwUBkmqY/B53iABsa/FwIIdK6rY6V/kn6z2OPPWb2cdy4cUccz+IetbeozzV//vwEBdNZGPSiuBfdvT3nOldeeaW9JiXJk+Gf7UQyknaKH03qfBDOT/0X7htbH7T3JzoadYQQIgpBp50BxRe6DYoZ3bp1swgWUoeCx/iBhZaoQAh98PNLL73Unr3AEgyrzJo1q4VkAnmz+/btS9EEg/0p7otQ44WYaIXThBDiaPF20NtHnn2rUQ8h6W3atHFPPPFEAjvkHXQvrtAZI1iwnLQjbBcCCSKLv56/JquwpCHNnTvXhGq/3Z+fmgJAja3gdX07VD8J4TpCCJEe8LYa+0fR2379+rl33303nE6EeEI0C6lDpLD7COygj4lvSno8xyOGeNuKAMPxFOSNJmhffvnlCQSYkwL7cD462GGbWVSMFFm4NiIM+3BvaQUJMEIIEc04/jNAMIkgTP7222+3cHg6bHi8wOLTgSInGF4oYbCKnGCwyoAAs379+iMmGGz3E4xgO9XICYYXYIICCwMULVtZzaDWgRBCHGu8zSGk/KWXXrLOFthInHoPHd1Y3Vy1atUR3Yh4j9hcsWJFt2HDBhObATtJSiZ1BQg7j4zyA+waaZrLly8P148JpoOySst1fVHH4HXZz6+y+nB2RQgKIU50IhcII6HGCoI4KT1EGVLUvEWLFm7w4MFma326EIVxEUqCRcq9vac4OvYX2xpsG12+fHlLI+IaPvI6CKI5Nhl7jr2P9Hmx50WKFLFo8V9++SX8fbguaUnYeaIfOUdaSRmVACOESNehmLGgNR6TAKJVXn75ZRM7CKen7amHQmPUdEGASekEgzB6Qi4XLFgQ3t/DAMeAxQTDt6eOnGBQoHfmzJk2cPrrcg4EGNpPM6AFVzCEECIl9jExZ56VTmq14HjTgnTq1KlmI/v06WMh6uDtHzbKpxlF1mPxIvaMGTPs2V/T13nx6ZvYPz8JQDhhJZboF8Sd4H1y3syZM9uKLN/BF+MN2nzqY2GDCan35xZCiBONYPon/mEsW0Ydwg4dOpgPi+2k+ybCC92KSIn3tpEUeHxHhPVgxyF/XrYTiUJkIlEyHorkYuuJwCY9KRLsLaIPYor3eUMBu434gi+Nr+yjvr2/S0Q3ogyp+cHPT3TSxrcQQogUdCwKFrWNJsQQ5cLqAKsAd955pw1SX375pRUfe/HFF8PKPRMM7+inxgSDFQgGzmgTDML3GSiD1ej5Xgg2FFDjvhgU08pqgRDiv0+7jGYfV65cac48ndgoND5s2DA3efJkK5qLcM2x/lw+Ws/XFIisx0LRRkDACX6OQA1EAZLWFHS6OT8rtTjmCNte8Amen+uSxuRD1v13IiLm+++/t/pbTCRkH4UQJyo+/ZN0TWwwAgu+pq9vBbymGQSR2C+88IJtf/rpp13Tpk3dTTfdZPVX8GWBhT18T2y5bx7hwQ8lzcjbTaJdgkK9rwPjbXkkvvahjxgH7/OS+jRy5EgTYPBrI7uJ8h2uuuqqNBWxKAFGCJEu8BEkrMYisNDuuXXr1q5Lly4JHHgGlOeff97UfYSX/v37u0aNGllECrmqZcqUSTAxiaw3EDnB8MXH/KDkhR8/wSCUM9oEg0GOa3BcsF2qH7CY9NBJyReU9IMSohEhoAyqwfsQQojE8HVcqMnCCikpRQjRvnOFt3lEAeIUP/zww+6TTz4xJx57hXNetGjRsDMfzP33Aoy3R/4ZO8Vx2EHalPp7QCDBEcfGEeXibau3c9hhhGpsebBYua+n1a5dO0vv9E6/h6gZ7sXfl+yjEOJEBL8REbx+/fouT5481h6aFKNmzZolEDmw30QnIpA8+OCD4VpY0TohIVgjbvNMpEpQyPG21/uciONs9z4pESq+Q2c04Z6IcW+D//rrrwS2l3OQXhS8TrC5BMKRF3jSSsRi2mmoLYQQSQxWPXv2dL1797YoEVZPGWRw+hFDvFCCc46IgePOwAYMJpHhnX7w8I48AxypSpETjHz58tl1GKy4FgOUn2Ag6jC5YKWB1z7nlQfbqSFDPRjfbhWC9+AHOb9aDYR5Mpnxg50QQiSHjz/+2ARp2oEiNpNzTxQeNQFwyrEz2CqcfmpU3X333UnaR1ZTsWUIKQjJp5122hF2mXMTtk69rbp169r5sJm1atVyb7zxhq20UnsAuxnsZIT4zWfUNIiGn2AEi5wT5o59p5OcEELEE15k9gt1wdp/kSB+I4KTyn7zzTebrSWCBZ/TN2AABHXOgb304ngw4trjr4W4TUoQfiQpQ6VLlw6nOmF/GQ+A6EMiZbxNx4dFiCc1nhQlasIEwYZTNwaxKDGC3ZOA75YWkQAjhDgh8c51UHyIVNU9DB6IL7TYY9WU8EvUegYM6gEgivhW0AwQ7E+uK3mrweK5QYITjJIlS9oqA4OVLxLmHX+EFwQUzkuaEmGUfoKBeEMba6JcuBfw3wUBJVYopyfafTEA8xBCpF+8DYrWbjQaY8eOdW3btrW6URQbR4DGESeNka4U3j5itwgTZ1uJEiVi2iF/D1z7sssuM4d8/PjxVqyXc+Hscy7SmXwaJSH0CDAeL8Agirds2TLB92CSMWDAgES/U7TvzjUlvggh4gUf8RGs8wfe5kYTYWi0QIQi3YFI+wzazeB5OQ77ymsvfCQm6vgahPifjAmI1Qgw2Hhv57G7jAuMAwjybPfpSfjCCDA//PDDEQIM1+Qegt83ucTy7U9k0ta3EUKkGzDGDE4YcVKIED9iGWgGkccff9xUfUQNwuupzcIqAZMIVkX9KimiC/gK8LEmF8EQSR89Q1qQXw325yNE3p8zGBbq68BQxJJBy38njx+cgm1dhRAiJfaRZ0QV0nEQm6PBKiYpmdi8ESNGuF69erlrrrnG7BKrndhNb8+ooULECXbJd6uIhXe0fSQh9pH6VF7I8aKLx9fR8tdCJCfsnJVbHx2YWBFKIYQ43qS0RomPRiE9ftKkSa59+/ZWW4t0IaJcokHnOew5KaJefOG6wZos3i4SeQJEEiZ2f96+Im5z/b1791o6PiILjR2wz6TtU0umcePGdn4iv7kPf+wrr7xin0emfkb7vikhrYkvoAgYIcQJBwMI+alMFhgAmAgUKlTIHPUmTZqY4x5U+b/44gubMLBigCrva65EGwhQ9hFMEHQ4LxEzsVYM/EBGNxBWaQnfp4I7AyIdjN58800bxJjQcF++I4efYFx//fX2SIxg+LwQIn2AUEHUCPaIFJ6UOqBEluC8jxo1ylYqsWmIGdgqbFEQUo5IEbr66qst7TFaWpG3gQjSrJDSIQMbh31MKkqQSD+iWYiAIW3p3nvvtbB57m3MmDFmw6lf4FuQ+vbQFGb0okwsEhPIhRAite00qTqkVxJZh23ETqYkYoNzfPDBB65fv35uxYoV1mTB12khQhohpmPHjubj+uhB3wK6SpUq9uyvF7SH/vo0bPB+MPfpu7/5ZhI+5Slo8xkjsM/42HTdRIhHyCcaku5JPjryxhtvDIvpkDdvXnuONSaIACEhhPgP2L17d2jUqFGhjh07hh544IHQyJEjQ99//32Kz7N58+ZQ+/btQwUKFAhlz549dMEFF4SqVq0aKlWqVChDhgyhsmXLhlavXh3e//Dhw6HLL788dNJJJ4Vmz56d5Pk5tkqVKqGMGTOGRo8eHT7HH3/8Efrrr7/C+23bti38+uDBg6H33nvPrs91eOZRtGjR8Dk+++yz0O+//37E9f788087vxAifYINgJUrV4aefPLJ0LnnnhvKli2b2aBGjRqF1qxZk+xz7dmzJ/Tqq6+GihUrFsqSJYudq1atWqHKlSubTcqUKVNo7Nix4WvCI488Yttee+01ex+0c5Fgw9q1a2f7P/roo/YZtpFH8JxB+wjz588PnXHGGWHbyCNnzpyhl19+2bZjm7Ht0a4v+yiEiBd++eWX0IABA8xPDNqzQoUKhRo3bhy2Y8nl+eeft+Ox1U899VRo3LhxoQ0bNoTmzp0buv76621bly5dwvtz/ho1apgPPGPGjGRd47LLLgufB381krVr14bGjBkT2rt3b/gz7uH11183/7p48eKh6667LvTJJ59EPV6kHAkwQohUZenSpSaY5MqVK8FgxeOcc84JCxTJAcd84MCBdiwD3fvvvx9av359eHvPnj1tW8uWLW0i4qlZs6Z9PnXqVHsfnCgEz+2d/a5du9r+9evXjyqaMOg1b978iM/nzJljkxmu37dv39CmTZvscyYnQggRibcN8+bNC1188cVmdy666KLQrbfeGmratKkJFN99912yf7hvv/02lDVrVhNc+vfvH1q1alVYwJg8eXLorLPOClWsWDG0ZMmS8DFcg+v+73//C9vAxMCOsn/evHlDy5Ytiypi33LLLaHly5cnON+6detCffr0CbVu3TrUo0cPuzchhIhHognRLBri+2H/ChYsaL4eokmnTp1CuXPnts+vvPLK0NatW2OeI9L2Dx061I6PZnfxKVnUw1f2IIDUrVvXPmdRMznfYdiwYaGzzz7b7u/xxx833/S3334zX/bpp58O5ciRwwSlaP5upJgePLd826NHAowQItWYOXNmeFJx4YUXhrp37x6aOHFiaMKECTa54PPzzjsvNH369CQHK8+CBQtCn3/++RGf//zzz6EvvvjCVn6ZZHz11VfhbazUci0GmuRMMHbs2GGRNBxDhA2qP6sSb775pq0CsIrMdq4phBD/hh9++CFUpEiRUJ48eczG8D5IcuyiZ+PGjWarImFCgDjToEGDUObMmU0A8WCPsXWXXnppktfz25o1a2bHcM/dunWzqJq33nor1KpVKxPb+dzb9eSSku8phBCpAf7fgQMHom675557LLIQETlSfEbgRjzHLrI4CMkRKLiWXzAkUpxoQSJsiDTEfz711FPtnETEeB5++GH7jAU/L5pgP70o4m3p/v37w8cMHz7cRHOOQyzKly9fWDQqX7586KOPPjpicTJok32kozg2SIARQhw1v/76a2jWrFlHhFx6I967d28z7gwm0SYEderUsTB7BpPkgnjiBwVU/BEjRoQ6dOhgkwcfZcMK8IsvvnjEBINBJniPPPy5eA4Ouqze+vDP4IPB96abbjKBJ9ZgxHkjU5aEEOnPkffRK9Gi7jxEnmBbEDAiOXToUIqu6e2at7Hjx48PPfHEE5aGhMPNdU4++WSLIPSwEkrKE9uC4k+kDSM83ds8xOfOnTuHjws+rrjiCksx3bdvX8x7lH0UQsQDiB8IyESzVKhQwR4tWrQIvfPOO2FhxNs9IvheeeWVBMJG0A/06UQ+QjolggX2khShMmXKJIgS96lOpJZ6sOuFCxc24Z7UIYj0NxcvXmyiUJAVK1bY/WP/SUviexKFjvAj/lskwAghUiR+kKv/0EMPhUqUKBE65ZRTTJBgkLj55pvDkw0fYbJlyxYTYfwkwk8O/ASBAYXV2BtuuCG0ffv2FP0luBarsH4CwGDEqsRzzz1n7xFPgjBQ8TmpQcHB00Pa0Ycffphg0GRlgVVjVouZxBDGyWRFCCFiRaAgpPjIP0TmxMBWnn/++ZZjHxnq/W9y7bFd1NvKnz+/3QfP2Oh+/fqZEEOk4I8//hje/7bbbrP9WHXlO0SCbSRMHrz9xuHHDhNC/+yzz4YGDx4c9VghhIg3SF/H76P2iq9JVbJkyXCqDg9sXrAuSlBQiRQ8sIs+Rb5hw4YpuhfSMxHJOZaahW+88UZ4YROfm8+vvvrqBOI+ArivHUP0CiCgI860adPGtj3zzDNRRaBo4rgWDP9bJMAIIZIFhSBx0gktR3RhgoFwQq6/L4DL4BVr1TOxCBlWC1JSaBFhxw+SFPQN1jNgEsM9IhAFI3OYFPkVYGrSEMHCQMVqgC9QRjinJ6kw/MRWtIUQ6QMfho49wAmmblQwGoTVVIo2xoIcf+wSthS7snPnztDHH39sjj+RfayIkgKZUvx9cF6iFIPUrl3bIg8//fTT8Gc4+RRb9KIRq6qkMmGjSVvic+xkMCInqfoGcuiFEPGGt0uke2LX8CVZYCOF3dtq0nVOO+00q/Pi66wE7VmkbfPvfX0YhJ2U3AsLgxzXpEkTGwMiI1nYxjhB1LmHMQf77scattP4gXouLGxSwJ1jY10TlFZ0/JAAI4RIFuTzY+Tr1atnq6HB1VNSgajxwnYmD0F8XmoQr8izasox9913X3jf5OCjXB588MFwNIs/57Rp06zbBoNn5MSFCRLROpEh81SvJ6qHSvCx8GHzQoj0CzYKRx3hGRuD/Vi0aJFtI8WR99dee62lXVIIF6GDulcQFG29rfOrmxQKB0QXH9WH0M0zqZXUHkhuRAzh9BxLKpCfUPhrY6tJ16SAoy+660HIprhjpH1kZfj222+3aMBYNjqy9oAQQsQj3hYuXLgw1KtXr6hpniwI3nvvvWa/6QSUHEj59CL2lClTkn0/LFqSCkREue/U6TtvAtEw3hb7lKLgWEJk9v333292neuzKIm/Ln81vjkl2JJaCCFiUa5cOfftt9+6SpUqJfh8z549rnDhwu6WW25xixYtcnPnznXXX3+9+/PPP93JJ5/sMmTIcMS5+JzjBgwY4DJlyuSaN29un0fbN4g/56ZNm+z9FVdc4U499VR38OBBlzlzZvts6dKlbsuWLS5Llix2v40bNw4fd/PNN7sqVaq4JUuWuBkzZtgxVatWdbVr17b9E+Okk07SPw4h0jnYlDvvvNNt3rzZ1alTx5UoUcJsENxzzz1u27ZtrlWrVi537txmZ7CH33zzjatbt26C83hbV6xYMXtetWqVe/75513Pnj3dvffea9fImDGjGzJkiNnJvn37uvLly7s77rgjpi3666+/bNuhQ4fcgQMHXKlSpVyBAgXsPXYWfv75Zzd79mzbb+HChUfY+A8//NDuBfu4a9cud+GFF9r3zJUrV6K/C98HGyuEEPGMt58VKlRwF1xwgb3HR8R+ejt2yimnmN38448/zIYmBsEMHDdlyhSz9fXr13fVq1dP9v3ge3Jt7gH7DFwfdu/e7d577z1XvHhxt2HDBjdx4kR35ZVXJhgD8L157N+//wg/1t+biD8kwAghkkWePHnsAYcPHzajziCRPXt2+2zHjh32nDNnTnuO5Yz7AWHQoEE22DCYMLFIDn7Queiii+yZwahRo0Zh8eWrr75yb731lmvSpIn76KOP3PTp0xPcC9c+++yz7XHNNdckODcDYPAaQggRabcQKNavX++ee+459+ijj4ZtD0SKI16snjNnTkzbgg0955xz3Lp169wzzzzjWrRo4V577bWwzXrppZdcwYIFXYcOHdzgwYPdxRdfbPYvmmPtz1+mTBl7njdvngnd3kavXbvW7vnaa681IWnWrFlu+fLl7vzzz7fzAcIRojSPIP9ETMs+CiHiAuzXzp07XYMGDcKLbJE+HY9YC4FBm8k+weNZyJs0aZI766yzXMWKFRO9D86NUNK7d297j4DuBe+k8KL5pZde6j755BP32GOPmYh/xhlnuGXLlrn+/fu7HDlyuIceesjdd999ZrdjgfiCjea34Jw8JL7ELxJghEgHzJ8/340cOdLlzZvX3XXXXWGRxBNptP1nsYw3K7MeBovPPvvMvf32265o0aKubdu2id4L5/ztt99sIsPg07Fjx2QPVv5+EE8YjFgVZqWXFYqffvrJBkzEFVaSFy9e7E4//XT3+++/26QieLyH7wwMvBJehBCJ2R7EDMAhvvrqq018QXgm4u7cc881GxIUKhA28ufPb848og3RLpF2legZhBoEmNNOO82iB7FH3h6zL1F8RMLgkBNVgwCTmGN93nnnmVCDAHPddde5smXL2r0T1YK9xNFHqMaZ98JLtPNhn9nuJzBy5oUQxxNsKQL18OHD3b59+1ytWrVMgMFGRdrW5Pqz3tatWbPGogO//vpr98EHH9j5P/74Y4skTIrx48fbcTfeeKNFVCcXf08cxxjRrVs3i34MRiV2797dor1r1KhhY0pS5/PRMyLOOd45UEKI1INaBb4bBw+6BP3000+2jbzXaPn6fE6R26SgdR3to6tVq2bnpugXNVaozh6rQK2/ns9ppeAYpKSgrT/HoEGDQhdddFH4u3H9a665JlyPQQghokFuPHVSHn300XDntuTWLnnhhRfCrZZ99wzqo9B1KBJaNVPQln1GjBgR1dZxXV+A8cwzzwzNnTs36nVvvPFG26dbt26J5vb7bTNnzgxdd9114Xoy1HyhRsBnn32Wou8rhBDxAL7pTTfdFLa/tHyeNGlSTHs4b9680FNPPWV+Ibae+oAHDhyIav8ofOsL6PqCtjSXqFSpkhW6pbtQNDgPXZLKli0bypQpU2jq1KnhGi4pbdTAvX3zzTdWj5D7pgi6r3Gopg9pDwkwQqQBGDwQPoIDC+2SqYJOYa8777zTxJFYRWbpHNSnTx9z0Kn6XqVKFRuwmEBE4gcCilAyULE/hXlpoXfqqadaFfYhQ4bEvFeKQJ533nl27KpVq8LnPJoJAUXPGKQoTBZZOR4YmDVwCZG+ochhsCMaLe99Zx8vSPgi27E6XWzYsCHcceLkk0+2xwUXXGBO+8iRIxO0Kg061E8++aQdg1jtrxPJ999/b3aa/T7//PME1/Xd4RDP2f7qq6/GPE8kHPv1119bEeBg9wyPCosLIeKN/v37h8qVKxe22d4e0jGOwud0cYvWWQ7/loVBbDFF0HPnzm0LcxTS9cIKxcxjQadMro1fim9JIdvrr7/exGtaQy9dujSB7Y3s5tmqVauoTSf+LRLL0yYSYIQ4waGVHsKHr57ujTWDEYMCUSLRePvtt0ONGzcO7d69O/TMM89Yp4vzzz8/VKZMmdDpp58ebjtKu+bgYONXGxikVq5cGT4fYg1tTVkFYNV1xowZCa7n78uvIKPyR5tERKtIn1w4nwQXIYSHiDjsTb9+/RL8KD169DBbRbvQSJuDeI0oEgR7ighSvXr10FlnnRUqUqRIuCNFYjAh4Po48F5MibRZ4Fd26QiHIB60tXQ/QuRm+8CBA4/6j+s7FQkhRLzhbSEd4SpWrBiOKvQ268svvwxlzZrVIg79Yh4totkPm00UCjayZ8+eJpqwSIj9pbsbnTuJMGQ7PuiePXsSvRd/TWyxj4zBTw5u835v3rx5rZV10B9G8CYKkXvZuHFjin8LLR6mfSTACHECg5G+6qqrQiVLloy6nfalhMkjlhABw4A0f/582+ZTh/isePHioU6dOoVWr15t29if9CDfdjra6m4shZ7Wpqw43H333SbuBLcT7s9AVaxYsXCaEysNhF0yQWLyMXTo0PB3Sy4SXYQQ0ejcubPZMe8Ee7syfvx4c5yJasF5x4l/+umnQ6VLlzZBG5uKPcI2eRGEyBkcayIKafM8YcKEJO3PihUrzL7mz58/tHjx4iP29/eDmFOiRIlQjhw5TBzy7Nq1K9S9e3f7DoTEE82TUmQfhRAnAvigLAASTQJB0XrNmjUWcc0CH36kj2rxi4+0YibihX2w0ZEMHjzYRBjO78XzSD8zWjQ2YwXXqVGjxhHnJFLcp/cvX7489O6774YefPBBE+qx+V4QEiISVeoR4gSGgooUm6WTEK8p6Ogrv3/xxRdWfPa7776zApFANwwK2FLEkVapFA2jOC/tmbt06RI+b+nSpV2fPn2shSqdhChE1qxZsyOu7wub8QhWc+/Xr5+1zKNAJdf0hcbo4rFx40brUjRz5kxr2bdgwQIrrEYxXw/XSklLUxXQFUIE8fYIG0ZRWo+3RbSPprgiRW3pDjRq1CizWxQ5pAPFjz/+6N544w03ZswYN3r0aGvH7IuFc76DBw9ad6OaNWsm6IQUCR2MOJbzcy+0PfXFv7k/b+costirVy/XsGFD9/DDD1tBcYqlcx/YaQrpvvPOO0e0GZV9FELEK747UVJFcP12Ct/++uuvVrwcfEHZZ5991jrPebJly+buv/9+6/hG4wXARtKp03fXBOy0bytNQXIKmVPUduzYseF9YvmS/p44FhuPfx3sKvfDDz/YeWDFihXmW1NIFwoVKmS2vG7dulZEXYhI1G9ViDjBO+UpYdGiRdZRqEiRIjY4/PHHHzaA0A6vfv36NpAxEaEjxtChQ61SO4MC1KtXz579wAS+Iwbky5fPNW/e3FpOI+Zs3779iOsHB1T2AyYIu3btsoGqcOHC4e/1/fff2wSDwZD20Yg+PXr0sAGRycd7771n38W38hNCCI8XlpMLdpDOaAjBCBm0E/WiDJx55pmufPnyJghjG3v27GktnxFKpk6dap3jbrrpJrdp0yZz9DmPB0cf+0iXIbqsJQbOepUqVew1QorvIhcpGvMem02nIhx27CLiDwJ669atreMbdlwIIeKdKVOmmF/68ssv2/ukbLf3JVevXm3PCNXB44oXL252GBsJiB3Y7Hbt2pnYARUqVHC5cuWybp++8yXCiRdxGAe86MICIMRqXR28J8YEhJxq1aqZPfc+LR2T/P2uXLnSlSxZ0uw0wgzC+aBBg9ytt956VKK5SPsoAkaI48isWbNsoKL9HQ44EwAmBslpmcf+CBYMBn7A8AIKESasJNDW9IEHHrB2zLfffnv4ePZDHKFtNBMLnv3nwWiWypUr20oEg8svv/xiqwt+H57Zzw9gfhV42LBh9nzZZZfZs99O69a9e/fa5IPzMpDSyvWcc85J8N2S+u5CiPQBAvOECRMsSgV71qZNG3O8EZqT02oTO0J0C/YGgqJH1qxZzcknqoXIF5z7e++917Zh13C0X3jhBROSP//8c1vpZB/AZrHySvQhjjZRLpH4dtTcJ9fnOkT67d+/3wRqhBZEoUsuuSSBvatevbo9GBOwld42CyHEiQK2dvPmzRbhDElFNHu/D1/Tvwf8W851ww032IIgUYf4zAjkfrs/P5Hb3qcNLiYGYTv2msXJoO8bvG8PPi/i/IABA8wv94uW3l6zcMg2BHZE+cjvw72xb0qiuUX6QQKMEMcBHPqnn37aBhGcbCYDO3futHB2VjuTwg8SfiDgHMFnQug7depkr1955RWbKBCBwioCg4KfGDCg9O/f31ZyWV31g5Y/L/sjnBDSGbwm0S5cyw8srAJzDgajTz75xCYnbdu2TXDPCDlMKiIFF2BC5QcqiS9CpG8I53700UfNTmITWLnExrCSiACTHPEFWLVE+ECIJh2S1dGgs4/DXqxYMRNGfHSJt20+TYl0SO6DVE0vwGBfWW0looUIlYoVKx5xbZ+aCdw/q8FMLmrXrm2iDZE11157rTn42NhIWE31BCcZQggR72BPiUxZuHChCTEs+CW2uOYX84heAaJIgjaPlCPAfyR1lPT1LVu2hKNfADuPXUa0J4KwVq1aYVvuQQDH3yZinAVBQNxH7MfPZRtpRKtWrbJIbew7KftEbyOk8x28L1ygQAFbFPAEU0t96pIQsdC/DiH+Y1DvW7ZsaY5+hw4dbLUTwYLJgR9skitCEGLPvkwyIleF/WBXtWpVN2LECBtgEFSC5yYdCQGGegNBwcTvQ24tqwAMWkS/eEgXWrduna3k8iCMn/oGDGhEtbz22mtRV269+OJFIC+4aKASQgAiLaIHojErntgTHG5sF7YmJWCXcLRxiKOtiCKwEIWCk+1tb6TDjn0G7BuCDpF+PIiewXaxwouQguMeZOvWrSbaEOnCsQjgwMQBMYbQdOpw+XoC0fA2XMKLEOJEAtGZ6D4W5BBhkhJgIiOpiTyMVpMFgQbBe/ny5WZ7fUq9j9qm3hZCPWnzjRo1MhuP3WYbth0hH1uMUEO9L8B/RrDxPjD+KP40/u///vc/s9XY+2j3H1y0lJ0WKUECjBD/ITjlRKZQMJf80WBxyJQQrGXAAEAB20gRww8U5LwiwHC966+/3j7zA0WNGjXsmfD6aKsURLWwL/cZzOFlOyu3hHH6FWYmSgxUhGUyqQjeYyQaqIQQ0ewa4i0OO4W/fW0qT2JiRRBvw1g1RRQm4gQhJtI2EsmCE06EC7Y50sHmPcI4+xCVg9PPaihQ2JywdGwkqaC+EKSHaxLFw/WZjGAfmRAQdYjokxwUDSiEiEd8rZTEopaJ9kOAwfckcjE5cD6EEnzL3bt3J4gO9NdjURH/k1pdXoDxYKuJHmShkyLqjCde1MGe+6K52GMPvjPvWYwkEh0/GPEochEx2veUjRZHiwQYIf4lhK9/8MEH5sA///zzUesBeFj9ZDWUwmRHK75EC1P3+bDRFHpfi4XcWV+R3g9mDG5MKFhJIBqHTkiE5QORL1SLZ0BihZc6Mj7KhnxcBjoiY5h4RE4+QJ2JhBBEyiGmTJs2zbpYVKpUKeaPQk4+ndKwNw0aNDjqH8/bQOwjzjerm0TPRBZDxJaVK1fO9sGGYsN99w1vS4kyxJbhlAdtGqlLrIoiwJBOFGkDqQnw5ptv2vlZbU0s7VIIIU4EvF3EFnp7GPQro0UP4nsGU3cSOy9+Jn4pYwH2mNfBbptAKhCiNmOKv7Y/N5GSiOPUDaNIL5HmCDb4sTSh4IG4cscddyS4PmL8nXfeecR9+Tou8mfFsUYCjBBHAauaX331lXv33XfDRWfhrrvuilmQESNO6k5wYCISBued1VLC0nH+o9UDiMQPBr5uAaIOeayRYfBACCYDEpMQahAwMfCrF5yHFVkEGFYqyKnlPohoIYSTApZ0AunYsePfBuOfKBvuMXIipQmFEMLbAoQJhGk6Qfhc+xtvvNHCxyOdWW+LJk+ebDYRBxlR5NChQ2YbycnH5uBcB1M1EwObi5NO2iP3Qk4/zn2wiLivA8NKJ848AjkrtT7VyAvRiOx0TMJ2+uPI/0eEYUWV7XTICIrf3COpVB7VBxBCnMgEF/iIavn0008tKpD0dCKtiUYJpqqTOor/iX0kzRNbm1STBWwxYgjdhTgGG+vx4waLlzy+/fZbE2p8ajvnJtKRxUGiaBDx2QcfnWgaxiWiclhoxM+N9R2Dgo8EcpFaqA21EElA8cb333/fNW3aNNxSDxWdfFEMOwMGNVwA1T1W9XXvhJOy4yFihpajTEzIXWWllDDI5ODD4xFhmLQQjhkNBiJSjch9Rajxx/rBzLf1Q1Ah5B+hhhVrJkVPPPGEDVaxQv/9YOXFGQ1WQqQviIJDhEBsuPvuu83O4JQTUdenT59wLQBA4MBWReJtEYILeBtJUW/a1RNxV7duXUv5ISefldGk8IJHnTp17JmWzuCd/2CdK+wuKZjYO2rQIL7grGPPu3btavuRXomN8+INtu6WW26xOi8tWrSIOanw9pH9VWRcCBGvYDOxe7F8WGwchWrpqIngTIQJ7Zy9DUTwCPqY2NHLL7/cUjT957HaUXv7iWDDAiWLgYg8wW3B8/qmERRCD24Dorp97a/PPvvMjRs3zu6RtCZEfroWxcJHuyi1SKQ2EmCESARCyFHtfScMJhtelCGP/8knn7SoEt++lAHD7xMEY87EhGfC4FH2WS2g7TQruzjyCCBEw7Rr1869+OKLtgqbnAkGkxM/wWDwjAaqP7AaYP/xA+GjpCgh0hDt8vDDD5uQwwSK94gvwW4c0b6XBioh0ic4szjCpAwh2mL7cIJ5JoqOiEBEF4QYovN4Tb2qWFB4EXuCSINNffDBBy2yj2K8fnW1R48e9jn2KTGH3ts36q4A9hsHPBIiWYgQRFxBhKGGFWIPNpm6ADjvTC7uueee8DHe5iEsUVcrWuRh5L5CCBGPBEViLzJji33kooc0TgRwIhuxx8OHD7fmDkRL44eSakSNQ+plebvnfU8vpiSVyoNwwjEsLmJ7SWEN2nn/jAAEXDsSXweG++GesdOMA/ny5Qu3hxbiuBMSQkRl2bJloXLlyoVy584devnll0PTp08Pbdu2zbb9+OOPoRUrVoR2795t72fOnBnKnDmz7b9x48ao5/vzzz9DTZs2DWXIkCFUp04dex4wYECC7V26dAnlzZs3dOqpp4amTJlin//xxx8xzwdLliwJFS5cOHTmmWeGvvzyy6j7btq0yc5ZunTp0M6dO8Of+3NfeeWVdj+TJk0Kb/vrr79Chw8fDl9HCCE8W7duDd1www2hk046KfTII4+EJk+eHPrpp59s2969e0MrV64M2xrsJLbxlFNOCU2bNu2IHxFbA6+88orZoWrVqoUyZcoUuvfeexPs99lnn4XOO+882+epp55K1D4GbZy3t2+99VaC/f11R40aFcqTJ0/ouuuuC3Xq1Cl07bXXhs4666zQJZdcEnrttddCP//8c4L9g8g+CiFOVLz9OnjwoPl/7dq1M7tXqVKl0EMPPRRav359eN9x48aZHa1evbr5hkG2bNkSqly5cihjxoyhxx9/PPw5x2P32bZv375k3dOuXbtCt912m12re/fuCe7T22D8b7YXKVIkdODAgQTHs0/r1q1t+5gxY8KfRbPfQhwvFAEjxJGipD1TM4B0HELgUf1J4/H5reSosmrqU3MIYSdShmgYr9hHnhPln6gZImCo0M6KwW233RYOvWc7q76kOhH9Quei4P1E4lcSqEvQunVrCw2lgKUP4w9CAUn2I9qG6J3I7+oryRNOGqznwmqIio8JkT5ILH0yElZIiZajLku3bt2sBkChQoVsGxEhpGWSfsSKJXaSSBlWHil2G7kC6a9L+Dl1sAgrJzXI156ikCJQr+qxxx6z16SFQmJpjz5VqE2bNrb6OXDgQIs+jIycoc4A27GdRAGywkuEDau27du3t9oxsaJZZB+FECcq2C/SLkmDx75iV7Ht27dvt0iWH374IWxLiXYBitr6Vs3edlP7ENtJ+uiECRPC0Yb4vKTX+y5yiUUt+uvgp9533332npR86oB5O+ttMP43EZX43L5elz+efRhvsP3sw/ihaG0Rb0iAEWkaPzggOvgBITHjHzymZs2a9kwxMIqIPf744+FaBsH9eKbdKcUlmVhQ0DbWBINBgUmJF0UQYxjEfM0Dwi4ZBIGikBDZXjoSBhaEG0QgCl6SFhANxBXycIPFx/zkxdeBIeQzOdcUQpz4eLtEyhDCBLYkKfvoQSDBfpGrP336dOuYRmFEwr7B20B/Dd+NDVEjMrTdO9U46r6IOTYVW8XxpEh6u+SFcArzbty4McE1YkFtK+oWYP+wkZHCCeI0hXqpF5A7d24TkLDJ/BaJ1UQQQoh4IqU2iy5v2EbqGtJwgbSiiRMnmgBN2ib1VLyN9t02sdPg05U8fiGSY1m89D5mrVq1zOb7FPjECKZ3UiORc5HqHy0ln25Ikemf/ntzH4xBNMuIVhZAiOONBBiRpsGYM6DgsD/99NMJDDQDVbRcUBxzarEQgcIA8+WXX1oHjNdee819//334QgXP1BE5qSyehtrgsGAQdFe310jmtjBvVI/gart0WoWRML3oY4B3w9x55lnnom6yssqge9+FHlfDFY+mofrCiHSPvz/R0BB7LjqqqsSCBPePkZz5CmCS80XjqdGC3VTEKixmwgjQXHXn4/Ch9g1nHhv+4L3AdhGnHiOZdWSejGRUSeIMXTXAFZVk/p+gJhCUWBE8l69erlJkyYl2I4N9u1Og9+Xe4+cZAghRLyAvQrW/gvaLGyz3ycWQ4YMMWEa8eWjjz6yBUAivP1x2EXvMyJOA0V1o52X7dhmIgmpp+VBgElJHRgP9WSoL8Y9Dh06NMF3jkXQ18YXR0zyi55CxBMSYESax7dqJoolaPx5jgxf9wMNzjpFFxEtMPakIWHIiUoh5D6IPx+KfVITDFZ0GeCYEBCO6QUWJjo+zJ5JDIXDWJVNjuPv9yGKBZGIMNFHHnkkwb0F7zVaC1jgnlkFTk4bbCFE2oC0IR6kMPqIkqB9DNog7+jTsh6H3Tv4rJKygkqUHdEmQfzxRMdQHJGQdqIKI/F2iMK3TABw4LFHgEPv7SOh8YSks4+PlkmOnSQUvm/fvpZqRMRgtFRRhakLIU4kfKq4Bxv+7LPPWooOaaF+n0i8iMECJVDYHIIp7JGLjD6K0UdnR4L/S0QNYwd21sP4wDa6ymG/k4NfHH3llVes0Dk2m8XF4L3H+j2ABUV8cqI0hYhHJMCINA+CCc46ofFEsGCgfWgiBh2hhdBzVH0vTpDLOnr0aKv9AhxP6DsTiMjBLLkTDD9okGvLKi+CECGewETHh9nPmDHD9qUrEvUQkhtKyvGtWrWy78T3oYsHnZeSwn9nDVRCpC+8k0vXHzoPEe3nHW6E5Oeee861bNnSuhhh07yjz6okdVJ8HRb2x9knUtCnUwZhO3aSVUlgxdULKpF2lNRPOlYgQnMN4JzePnJfiNRMMLCjyYV7QIznuyB8850XLlx4VL+bEEL8l3Y6Vmoo/iGCC34l4gmRiNg4ohrxHyMFDx/lh71FhMb/O/PMM8N2O5r99guVXtAh5RT/1aes+ntDoCeikrHEL1SyjQhtRBjSkqjJ4j9PDH9N6oL169fPRBhEHFDdLZEmOG7lf4X4D/AdL1q0aGEV0T/99FOrhN6oUaPQySefbJ/5R9WqVa2bUfC4HTt22Lby5cvb+1hV1H2F9g4dOtj+Tz/9dOjQoUMx7+ujjz6y/fLly2f7Lly4MDRixIjQzTffHK4yv3r16hR91+C9DR8+PDRnzpwUHS+ESF94mzFy5EizO3TAgPbt24eyZcuWwD7mzJkz9N577x1xjuLFi9v2VatWxewK5O2pvw5dieiiFAs6ydHVjQ5L2MSvvvoq9Mknn4Tuu+8+67JB54tgx7aUMnfuXOvapK4YQoh4BDualH3ytrZQoUJmV+niVqJEiVD//v1DmzdvTmB/o51r7dq1ofPPP986vs2fPz9Z98U1uFbjxo1DGzZsSLCtW7du4W10VQpCN6PatWubryuE+FsJFSLdTDBobdexY0dryUy7UQSZCRMm2MDA9rPPPjv066+/Jpg0FCtWzLatWbMmwTmTmmD88ssvMfdncPrwww+txTWTjOBEp2bNmqHZs2en4q8ihBD/z/bt2832nHvuuaHXX389lDlz5tAdd9xhogdCbtu2bUM5cuSwfSZOnGjHeIH57rvvts8HDRoUsy20t4E//PBD6Iwzzgjlz5/fHPHEJhlcl9alQdvo7xGxWggh0oNtHjVqVOjFF180e0y7Z48XOZ544gmzjbR7fuWVVxI9H+L21KlTzX7TSvrKK6+0Y1m0i2aL/Wf+GbvMYqX3c3v37h167bXXQjfccIP5suXKlQstWLAglBpEE/eFOFGRACPSBdu2bbMBA8c/b9684UgXz/79+034YJ9nn302tHv37vA2Jh9JTTD8wLBu3brwBOP7778Pb//9998T7O8HM/bnvKzsvvDCC8c0akWru0KIpPC2q0yZMubAZ8+ePdSzZ88j9sMuYgcbNmyYYOXzs88+s89vv/32BOeLZY/q1atn+zOZ8BBpuHfv3vB+/hy//fZbaMqUKaHHHnss1Llz59D06dNl14QQaR58wzZt2thiYVCALlWqVGjo0KEJfNFZs2bZNqIGly9fnsDe7tu3L/T111+H+vbta6J6xYoVEwjpTz31lL1v2bJl6KeffrLPDhw4kMDO8v7HH38Mv0c8J8olMor8qquussjCWHC/0fxnIdIjEmBEmsc78+edd144vScY5eJXEVhlICXooosuCs2bNy/FEwwPExT2f+655yzskpDNatWqhZYuXWrb/cCW2EAk8UQI8V/g7dkjjzwSjgL0EXiskPpIFyYEF198cShXrlyhYcOGhY/fs2ePHUekYHKc665du9r+TZs2NaHn1ltvDVWoUCE0cOBA2+7PkZgN1EqoEOJEAnsWKxUoEvzTa6+91uwkviN+5Mcffxzq1auXCeSIMvirQUjNZH+f2umvgyBSunTpsEhCylHr1q0t/Qi++eabcKRhly5djrCzM2bMMFvt7XNw0XLx4sX2OZHkLHIKIZJPwv63QqRh6K6xcuVKK5RLcTIKm1Hoyxf0okAkRSS//fZbKzhJy1JfFBJmzZoVPiYSxMzFixe7NWvWhDsg+YrtvgOH73jki00Gz8PxvlAl96O2p0KI/wJva6655hrXvXv3cPcIbFKwuwZFFemCQRFculnccMMNVhiXYo8UWFywYIF1YMNuYssiCyXS9W3t2rXWGhSGDRtmD6C4ou+o5O1ipA3E9nr7qCKMQoh4h6K0vpMcD2/b6DhHcVxaNgdtrGfw4MFuzJgx1s2SLkBB8FEpSNulSxdXrVo1K3Dr/dQpU6ZYYXGK5XJt7DO+bpMmTVyZMmVcgwYNwoVsPTR7eOKJJ6x73QsvvGBFcmkbvWfPHrPzvuPRbbfdluC4U0891V1wwQX2iPRjo/nIQoiEqAuSSPN4Rx4BBlasWJHgc/9MJXgmGXv37rWOSAwkDCh+grFhwwabYERWcD948KDr3Lmz7cNAxwSFSvJXXHGFTWi4Hp2ReJ/YPQbFICGE+C/w9u/SSy+114jUiCFBAcR3YmPCgJ2i1Sj7+M9x7H0Ht+D+/vWoUaPMUcfJZ2IBVatWtS5L2Eu6td1///2J3qfsoxDiRAJxxdvRnTt3uueff95sKL4mIsdNN91kHYUi6dmzp8udO7d1tYzk8ssvt0VEhJYvvvgi/Hn9+vXt2Xey89dFsME/vfXWW018wXdFnPE+LD4nXe3onFm0aFHrDorwQ2elcePGmeg+ZMiQmP6rF138NSW+CJE8FAEj0jx+IMLh5zUDF5OHrFmzhvfxK7b+M7/SSls/xBQmGKzwMjixwhucYDDIMlgWK1bMWj+zLysTkcSKnhFCiOMJ9g87Vr16dXPgiQJkguBtlm9bevrpp9tnTCZw5mklzSorNo8VWQSYhx56KIGQzHF58+a1ttGcE2e/Ro0a4bbSHtlHIUS8QCTz5MmTbdENW4UAgZhBxEm0CL9I2Ofdd9+1FsosxI0fP969+eabFonCg0W+Tz/91B5jx441G4qtnDdvntlbrofNhFWrVtnxiNfYZhb9ChcubIuCnquuuso9/PDDYUEnGFkTjEyJFkHINq7PNYl6QYQ/++yzLRKSSJfE8NE9QoiUIQFGpMsJBoMUA44fmHD+EVoOHDhg+zOxAD+wNGzY0CYYrOS2b98+wQDGoMbq7YMPPpjgmpyT8/sQVIkvQoh4BjuHffzkk09MLMHOeTvGa58m5PEiCo4621kx9eJM5KrtsmXLEnwWPC8P2UchxPEGAYJIFXy94EJb165dXd26dV3fvn1tsS0psGmIKQgmb7/9ttlGxOm7777b0oLwO5966in30ksv2TNCR+3atS0Ce9euXZbSTlro7NmzLV0JiFDBbyXa+rzzzgunyQNiTZ48eeyapDgVLFgwLJwn5X96f5Z7IBWfh8dHgss+C3FsUb6DSFf4NCRWIhho/cCE+EL9FiYeRLOQYxucYFSpUsXly5fPBl7CNyMVfwYwBqlgaCfnDYagCiFEPOJtlE8lGjlypK3KevuIHcOusZoLrVu3Dh+LzfMh8NjJ3bt3xzx/NPuotEshRDxAqvh9993nPv74YxND8BMnTpzoPv/8c/P9Jk2aZNEsiMeJ4W0cwjORKoMGDbLFvyeffDIsvmD3WLRr06aNRdmMGDHCjilRooTV4aJeFvVYLrzwQtexY0f34YcfWprQ+++/7zp16mTpnEWKFLFj/P1wzywiItoE7yOlBNOKJI4LkTooAkakC/wEgDBNBrMJEyZYHQMKnDF4Uaeld+/etnrboUMHW2nw+FUEX0Q3sWtEK6gmhBAngn2ktgDRK6ygtmjRwiYbhNxv2bLFvfPOOzYhwPFnMuHxK6MINkkh+yiEiFewcTNnznT33HOP69OnT4Jtr776qokzRLRs2rQpgY+YmD0tVKiQ27x5s6UdeRHa20HEmNtvv90iZBB39u/fb/VhiG4hBYpo67Zt21oKZzRIQSJqhWgXIL0TIQf/Fjt9tCitSIjURxEwIl3gB8SyZctamGauXLksooWaLRTOJXf2xx9/dHfeeadVhA9GrQRfM3gGw1KFECIt4Fc8ST2CcuXKWTHIG2+80bVr1y4svrz44otmP2PZx6NddRVCiNQEH2/dunXh9/hywWgPIl2gUaNG9owg4tPSffQzgjPCSWJ4m3jOOefYcbynE6ZPhQ/uhzCD4EL0jW/yQAQ22+bMmRM1opDahHRKuuuuu9zcuXPDn1NbCzZu3GjPShsSIn6RACPSDX6QpRsHObWsLDDgUduFkFNWHIiCyZEjR8xzKKVICJEW8ZMGwth9TQHsY//+/S3snSgY7GTp0qVjnkMpRUKIeATbhQhC5zVfU8VHepBmg7hCxAp899139pwlS5ZwEVqiAimcW6dOHeuMmRQIO5kzZ3YVKlSw10TB+NqCQUh/J+0I24kI4yNZqBVDVGGzZs3c6NGjrSYMqaG0isZGkwZKMV5fqBeInuE+vZAkhIhflC8h0h2PP/64pSIxiBFuT1ipx0e3qG6LECI94W3ezTffbEUgmzZtau+bN29+xIqx6rYIIU4Egh3cEDpIPfcCCmIFRWsRXohUocguLZepdUUEIJEp1AacOnWqpSBR9JaGCym5LgIMEYPUZUHAoSZMcDvPROYg9tB5CNiH6yEKDRw40M2aNSvBudmPqG1EGL5T8JqkjMqPFSL+yRBSPoVI52hSIYQQsUlO21UhhIhX24WfR2oRXd5q1qxpdf9IR0IEoeMRUSfQsmVLN3ToUEvfoRguNQL37Nlj26pVq2YRJ6RlItYEhZRI/OekAyFq00qamoOkDQXrwHAPdDViX15H1nuZP3++iUTLly+31CfSjKjBpUVCIU5sJMCIdAmDKoOyBjEhhEhIsAOGEEL813gBg8YI1DwJdg+KJFqr5KAwguBBB0wK3fIZ3S2JcKFrG9EvCDNnnHGGbeNcCxcutPpXpP5QE4tj6Y5Jl8xhw4bZ62eeecY98MAD5ksmVWvljjvusJotRFxzDrojcRyiDC2vhw8fbrUHO3funOy6LbLRQpzYKAVJpEtUnEwIIaIj4UUIcTxBDKHmCdEjpEEiYAQD9n1BXF/DxUOKEalFRJUAxxBtQkHcqlWrWkQJokqPHj0S1E/xcC5qxNB++t5773UvvfRSeFvjxo1NPKEoedeuXU2AScyX9CIQdQdp/rBt2zar7ULdF+rRLF261DoqUdycltRJ+aWINv77ykYLcWKj5S0hhBBCCCFE3ED9FPCRLEGBItgQAcGE6BHquFA/pUGDBlbDitQdvw+CC00WEF1ouOCL60Z2ttyxY4fr2LGjHefFFx9twjXplEmxW4qSf/311/Z5rEoO/nO+B9erVKmS69Chg71fu3atK1KkiOvevbvdV1Kdlfz3l/AiRNpAAowQQgghhBAibqDA7OrVq92gQYOO2EZ3NiJLqOnCdoQMokrq1atnBXc//PBD16lTJ+s+BHQkKlmypKUc0eWImirROlsSQbNkyRK79u+//26fedHDp0Bdeuml9n7ZsmXhz6Phj6OYLxE4XJcIGgrrcuxXX31lggzpT0KI9IUEGCGEEEIIIUTcgLCBaLJo0SK3cuXKcMQKEEGCiEEqEF2LKHBLLRVaME+bNs2K5NK9iJotnhw5crgLL7zQ7du3z46N1haarkekC3Ed0oOAds++buCvv/5qXYuoI+NJKnUoX758dl2ia+bMmWPHIvxwzsgIHCFE+kACjBBCCCGEECJuQPAYM2aM1XN56qmn7DMfreK7FlFYl6iStm3buoIFC9pnCCiPPvqotZtmO+2fPUTAsJ30JB/hAl4EocUzqUGIPnRH8tEzXmSZMGGCpR5RUJf6NEnho2NIO0J0QYA5cOCAfcY5IyNwhBDpAwkwQgghhBBCiLjisssus2dSkcALIWXLlrXUHaJIWrdubZ/x2kN6ElEnpBPRbchDalGpUqVMYCHdyB/nhZIyZcq4W265xTovvfrqqybkjBgxwvXp08ddf/311qaaWjOkQOXKlSvJ+/fiSvny5V2hQoXc+PHjrRivECJ9IwFGCCGEEEIIETcgihCtQg0Varb4misIJogf1apVs/c//PDDEcfSKprtRL8gtngQbRBmSC+iJosXdbywQ7FcOhLROppIFWrLNGnSxDoe0Za6Zs2a7uWXXw5H4CRXgClevLgV4UU4IupFCJG+kRUQQgghhBBCxB3169d3K1ascDNmzDABw6cL1ahRw6JTvDATTOVB5Ljkkkvs9cKFC8MtobNmzeoqV65sba2pF8M5EHoQaUh54hjSixBe7rnnHjdr1ixra03qEuKLT3NKKdSfoa22EEKYvQqp+pMQQgghhBAiTvCiCcJLrVq13HXXXec+/vjjcDci0ouorXLFFVe4KVOmHHE8hXrZRotnjitatKh9TvRL8+bN7bylS5e2oriIOOXKlXMffPCBiS2J3RPXT6rwrhBCJIZSkIQQQgghhBBxg49oIZWI17Nnz3b79+838QUhBPGE9s5Lly4N14gJrinTjrpixYpu3bp14TowpC/RrrpHjx6uRYsW9j5Lliyuffv2rm/fvlHFFwQX9vOCkMQXIcS/RQKMEEIIIYQQIq5A/CCdCBGGVKD58+fb5wgidCeiAxJ1Xuhq5Pf30AWpevXqbteuXZZKBIg3QB0Y2lcj3nz77bcmyFx66aVR74FjEF3UrUgIcayQACOEEEIIIYSISxo2bGjP06ZNS/B57dq17RkRJSiw+Nd0Q6Igb86cOU2cCYooCDg8+PyPP/5IIN4IIURqohowQgghhBBCiLjCp/0QqUIrZwrhTp06Nfz5hg0brK006UiIMBTZDYKwoq5DQoh4QxEwQgghhBBCiLjCR6xQIJeW1HQr2rp1q31OxEqRIkVcmTJlrI7L9u3bjzjeiy+kLAkhRLwgAUYIIYQQQggRd/jUIDoe7dixw3355ZcJ0ozmzJljj8KFC8c8hwrnCiHiCaUgCSGEEEIIIeIO33Z68uTJbvHixa5NmzZW1yVyn8gaMEIIEa9IgBFCCCGEEEIIIYRIZSQVCyGEEEIIIeIaarlQgFcIIU5kFAEjhBBCCCGEEEIIkcooAkYIIYQQQgghhBAilZEAI4QQQgghhBBCCJHKSIARQgghhBBCCCGESGUkwAghhBBCCCGEEEKkMhJghBBCCCGEEEIIIVIZCTBCCCGEEEIIIYQQqYwEGCGEEEIIIYQQQohURgKMEEIIIYQQQgghRCojAUYIIYQQQgghhBAilZEAI4QQQoi4Y963C92FZWrYQyTE/y78RseCO5o9aOfr13uQfupk8tPmLeG/A6+Tu00IIUT65pTjfQNCCCGEOHaMGfW5++nHn93FlSu4i6tcqJ9WCCGEECJOkAAjhBBCpCHGfDLBzZ+7yDnXUgJMGqVosSL2fGqWU4/J+QqeUcDOmSv3acfkfOmdUzKeEv4b8VoIIYTwaFQQQgghhDiB+OTzd4/p+bp07XRMz5feKXB6/mP+NxJCCJE2UA0YIYQQQgghhBBCiFRGETBCCCFECguWkuJz970t3Z33NHfDPxjtxo6e6DZu2OQyZszozitb2t15TwtX4aKytv+ff/7pPv5ojPt01Odu44bN7q+//nLnlyvj7rq3pdVpicba7753X0z60i2Yt9jquWz9bZs76aST3BlnFnSXVKvkbm95kzu9YIEjar8888TL4ff93xhsjyADhrweTktqcEUTt+Wnn13nFx9z9Rpe4Ya+85GbOH6q+3HzFpctW1ZX4aJyrt39rdw5JYvZ/vv3H3AfDB3pJo77wm3evMWdcsrJ7sKLyrl7O9zpSpU+54jv4O+n0BkF3fipH0X9nhQobXjlLfZ63JQP3RmFCx2Tf4uR1577zQL37qDhbvmyVW7P7r2uYKEC7sp6NVyru25z2bNnS/J4it0Oe+9jt2TRCvf79h2ues2q7rU3Xgjvz28z8sNP3dTJX7n1635we/ftc7ly5XTlyp/nbrqlsat6WaVE73fViu/c8GGj3YK5S9yvv251Gf6Joih9bgl3Zb2a7oo61e3v7/GFiYN/T8/uXbvdB0M/djOmfe02/bDZHThwwOXImcPlzpPLlS1XxtWsfZmrdWX1mP+m297fKuo9zpg6y30ycpxbvnSl27Fjl/1upcqUcA0b1XVXX1s3wf15KOrLv8GKlSq4ge/2dN/Onu/eGzzcLVuy0u3bu9+dWbigq9egtmt5560uc+bMLqU8/dhLbuzoCe6axle5zi89Zvc3euQ4t/77jfb/rvg5Z7vGNzR01998ddT786xZvc69P2SEmzdnkfvt120uU6aM7qyzC7taV17mmja70WXLnjVF95Wcf9ehUMhN/2Km++zTSfab/r59p8uS5VRXoGB+V7FSeVf/6ivdBRXOt30fffBpN2XiDFfl0oqu3zs9Yl6Xv33dy29wBw4cdF1e6WR/GyGEEPGFBBghhBDiKGCC98Ddj7mvZ86xOg+ZMmZ0O3bstPdzv13oXn/zRXdxlQquwz2dwvtkzpTJ7du337YvnL/Evd73JVetepUjzv1A28dNHIFMmTLZxGz37j1u7Zr19hjzyeeuV7+XXfkL/xZ5IPOpmV3efHnczp273B+H/3BZsmZxWbNmSTjoZ8x4xLX27NnrWtxyj1u9cq1d66STT3Lbtm53X0yaYRPmgUNfN7HnnjsedSuXrw7vs3vXHvfl9Nk2aX3n/d6u9Lkl4/Lf0YgPP3UvP/e6CV85cmZ3f4X+cht/2Ozeeet9N3nCdPfWkNdNkInFh++Ncq+80MsmzNlzZHcnn3xygu3r1qx3D7R9zIQyYKLP7771t+1u2pSZ9mhy23XusafaH3Fu7qlX9/5uyNsfhj879dTMLmPmTHaPG9ZvNFHsyzmfmYiSFL/+stW1anpv+F4yZMhg35mJOcLR92s3uIXzlx4hwCTG4cN/uGefeNmNHzs54px73JzZ8+0xbswk16N3l0SFiiFvD3M9X+1vr7PnyOYOHz5sQkm/PoNM/On7TvcjftuU0OnRLu7zz6bY78/59+096JYvXWWPr6Z/7V7t9bzLmClj1L9vtxd729/C7i17Nnfo0GH7t85j1IjP3BsDXnHFzynqjhW7du52/+vwrPvm63nhz7guNgUxiMeCeUvcR6Pftm033drYBJg5sxe4zZt+coXPOiPqeRGCEV9y5TrN1bmq5jG7XyGEEMcOCTBCCCHEUfDRB5/Y84vdnnS169UwYeL7dRtsIrhqxRr38vOvW+TD0iUrYu7z4rM93NjJw45Ynb+o0gWuUuUWrlKVC12hMwvapJeJ8Iplq1z/PoPd7FlzXcf2z7oxk94PRw7Ua3CFPXw0Q/NWTWJGMwRhAkzES6/+Xd2ll1Wye1m6eIV7/OHnbCL/ygu9Xc7Tcrjft/9uos+l1SvbPkQxPPZQZ9un6wu93Dvv9Y67f0e//77DxJMaV1zqHnnsPotEOHzosJs0YZqJMps2/ug6tn/GDR72RtQIie3btrvuL/dxDa650t3z4B0WgYQQw3GAUNW29cMWoXR5rUvdHW2buTLnlrSJPpNsojH6vTHYffT+J+7some5W5vdkOD8fXsPCosvRDy0ufv2/4842rffLZi/xKJxMiQSvRGkX5937O9x2mk53VPPP+our1nV7gVxAUFozjfz3aIFy1L0G77Zc2BYfGnWqolrdVdTlzt3Lrdv7z438sMxrlePt0yE6fxkV/fK652jnuO71WtNcGxxx612jjx5cpnw9+47H7m33hxigiSRLESrHA3Tp860yCYieG5rcaOJVfz+7w76yA3s964JhW/0HOjaP9ouwXFfzfjGde3S015XrVbJdez0gCtavIgJIV9O+9p1eaa7+/mnX1z7dk+4YaMGpjgSJhp//PGHe/j+J024RJS9s11zd92NV7v8BfLa9u3bd7jZM+eYUOapfMlFrljxIiZYjRr+mXvg4buinvvj4WPt+erG9czWCCGEiD9UA0YIIYQ4CogAeO2NF139a+qEJzusknd97Vl7zSSd9KRo+7zc4+99mCwvWbQ8alHUa29oYIIB4gtkzHiKRbz0fqurK1mquPv1l98sTenfcujgIUtrqF7jEotA4HqkPjzdpaNtJw2KCaHtU7NqeB/Sa5jkw8J5S+x+4o0D+w/YfXbr+Vw4DQRBgtSMF199yt4jNpE6FI2DBw+5y2pUdV1eedLEF+C7Fzm7sL3u2+sdE1+INiDiiWv5KAtEq+ZtbnHPvfS4vR/Qd6hNvj1EuAx663173bT5jXY/XnwBIpiIjuLfU7Q0qWgsXvj3v6VmrZu42nUvD98L4lKB0/O5q6+t557s/HCyfz8iat4bMsJeIx499L97THyBrNmy2vfr0PFvUYNoIkS5WP9XWt99u3vw4btNfAG+U7sHWrsr6lxu7yeM+yLZ9xXt/K3ubGqCo48U4ve/t/0drnnrv1OB3h860v5WQXq+2s+eSRvs2e9lE1+Af+NECSE48pr/yyM+HO2OBeM+nWTiC3Tt8Yy7654WYfEF+H349xn5d7rxlmvtmeg3xNhIELiIcIIbbr7mmNyrEEKIY48EGCGEEOIooEYKtRoiYXJ+1tln2usLK0bf5+yihd1ZRf7e57tVa1N0XSaE1S7/O22JNIV/S+26NdzZxc464nPq03jRiHop0fYhQsfvs3rVOheP3Nm2edTUFsQkavEkNfm/o+3tUT8/dOiQpd5AqztvCwtlkVC/BbGBFKCVy79LkC5CpAXpPPd1uNMdC7xQEyk0HC1TJk63dDZqGyEURIP0qnz589hrUoCiwb+Rlm1ujbqtZu1q9rxm9fdHfZ+ZM2eyej7RIKqI++d7kMbj+W71OksfA74bAmck/PugDgx8/tnRC0RBPh01Phxx48Wn5HBN43rWdpyoK2rHREKdKf9/0gtJQggh4g+lIAkhhBBHQdkLzo25LW/ePG7TDz+688slsk++PLayvmvXnqjbZ375jfts9ES3Ytlqt3XrdktJieTXn39Lte+BaJEr92kW2RLrewT3oc5IvEGh4IqVjxTAPJUuuchqhPAbR4N6LOeeXzrqNo6h3gbcf/f/Er0P6v4AdX2IkoFF8/8WzypfUtFq/BwLSIMiooqUJwQfUtIqVCwXjlpJKSuW//27lDmvpP2do3HKKae4SlUuMvGF3zIaxUucHTN9J3+BfPa8a+cud7ScV65MzCghImG4fyKdgn9n0vl8dFDlqhVjnhuhBOGGwtgHDx48qmLBHiKglv4TJcTfKiUQ2XNVw9qW1vbx8DEJaryQbuXFpRuaNDrq+xNCCJH6SIARQgghjgLqpsTCR1wkZx9W5oNQr+Ppx15048ZMTrAvE0lW8v2EHkFm//79cfs94gFEg8RqYZx+ev5wrZdonJYrZ8zuOb/9ujX8mqiE5HBg/8EjjvGpTceCFm1usagOxBCK9/IAIrIQEq69voGl2ySX37ftsOfTC/79O8Xi9H+KGG/f/nvU7dmyxU6hOsX/+/njT3e0FPhHxIm5/Z+/87bA33n7P9+N/1eJCWD+u/H/cueOXeFzHQ0c7/+fHM3f/eZbG5sAE1mMl/o5pMvR6eqKFBRYFkII8d8jAUYIIYSII0Z/PN7EFyb+Le+41VrsMoEOptG80fNtN7DvUBcKHddbTfOcdFLsrjx//vl31xyYNf9zq4mSImKkLP0biEahlkzru26z+kCLFiy1uixEY/GgJhH1Zh594v5jfm2RNLHS1JLLueeXsggqonmCxXh98d1rr68ftdOTEEKI+EE1YIQQQog4YuI/9Uga39DA3f/QXVbPIbKGybGq8ZGanHzKyeFaKbHYvWdvqt7Djt93Jnp9isxCnrx/1zBJCfny/f8xvu3z0Rx/NMcmRYlSxd3d97W01s7Tvx1rbcKr16hq2z4YOtJNnzorWefJnffv1KVfkkh1+2XLr/acJ09udzz4NRCNFHX7PwWiSQ305Pnnu5G+s3//gSS/G4IoEVH/BqJt6Hz0b/7ukcV4589d7Nav+8HEnetVfFcIIeIeCTBCCCFEHPHzPxO+MueXirqdVIi53yyIefxJJ/29yk675ONJzn+60Wzf9ntMEWTZ4hWpeg+ktSRWqHjut3//jilJywkWaPUpYTOmfZ3i48tfVM6eaQ2dmADwb0G8u7DiBa7HG13C9Va+mTU3WceeX/bvIsW0TCd9JhoUEqaNtO3/T1Hj/5qVy1a7vXv2Rd1GbaLVK9ce8Xf2343/T/P+uf9ofDt7fljU+jf1X3yEUrl/ai7NSKYIFkm9BrWszbgvxjvqn+iXKlUrhgt7CyGEiF8kwAghhBBxBF1xEuuORBrJj5u3xDw+e46/623sOs5FcUuVOScsBEVr80wB2/f/aXGcmgzs+65NsiOZ9dW34bbJFKtNKbSJbnDNlfZ66DsfWk2OxIgUMBpdd5WJI7RQ7vPaAHcsSCzah8m/7/QTq65NtA5ZRGwcPnzYDez3bsx/jz4iq/7Vf/8e/zX8Wxr89rCo294Z8IH9LnwPvo+nZOlzXIl/2n5Htgj30LVq6uS/W73Xv7r2MbnXxjc0tOdvvp4XPndKQARqdH398L87Fd8VQogTCwkwQgghRBxxafXK9vzJiHFu+LDR4Uk16TT9eg9y3V7s7XLlit6Rxq/Uw8wZ34SjaY4HpxcsYG24ofvLb9iEk2gJoBtN21YPuW3bohdtPVbQtnfxomWuY/tnwykfhw8ddp+Pnewee+i5cNQGraKPBtpHU5SVNJYWt9zjRn88LkE3KD7/ctrX7smOXVyr2+5LcCzRCtT48WlBnR7t4tat3RDeTpFlUoUebPe425PMVK0GVzRxPbv3d4sWLAt3aAL+HXR5pnv4N/DpSElR4PR87vYWN9nr9wYPdz1f7Wf/DmHf3n3u3UEfuR5d37D3devXSrQzWGqLlm/3e9f1f2Ow2737765i/B369nrHDRn4tzBzy23Xu/wF8iY47oFH2tozNVXa3/OE+2H9JnvPv1N++wfa/s+iqPhb3XRL42Nyrw2vresuuvjvzlz/e6iziT/BlEIixmgp/ewTL8c8x023XmspRwiI2AfagPt23kIIIeIbFeEVQggh4ohmrZpYAdXv125wL3V+zXV9vqdFtRApQTRJjSuq2eo9RXijQdHed9/5yCIyGlxxs3VG8akTL/d42l1Q4fz/7Lv878kH3R3NHrQJZrvWD7vMmTO5k04+2cSFPHlzuy5dO7kH2j6Waten/XKru5ra7/jFpBk2UacTEREdcGbhQu6V1zsfUWMnueTLn9f1H9TDPfzAU/b36tzpFffck93sOn/+8afbu/f/02IopBzJPQ+2CUcCjR872R6IRpkzZTIhwUfuhKJE8ESDtJTBAz6wB1Eu/Ls5dOiwOxBIcWre+hZX9bJKyf6O9zx4h9WAobPS4IHD3JC3P7TvR8qPF9QqX3KRe/r5ju54UfOKyyyCBYHyrTeGuBw5sif4/apdXsXd/9CdRxxXvcYlrmOnB9yrL/Vxs7781h7Zc2R3hw4eCgufBQsVcK/3fTFmG+2Uwr+1Hn26uEceeMrNm7PIvdnzbXtwXapqe7GtVJkSMc+BIERXq69nzglH1RDhJIQQIv6RtRZCCCHiCCaPg4e94Qa8OdRNm/KV+/nnX10Gl8FVuKisu7rxVe66Gxu6/n0GJzo5G/huT/fOW++7JYtWuB2/7wi3+GVi+V9S+tySbujwvna/1AlBRMqdN6e7pnE9d0fb5u5wIikzx4qbbrnWFS16lnt30HC3bOlKlyHDIRNDSEehWxC/97+BIskfjhroxo2dZOkgq1eucTt27LL2ygg8RCQhUNS5qtYRxyKSPPL4fZYCRSrPwvlLTKxC2ChydmHrelPnqpouW/bYbZyDUHSXeiZEwGz56WeLpvjrr5DdB8IbRVovrlwhRd+PtCU6K9VtcIX7ZPhYt2zpKrdr5y6XPXs2V/rcEq5ho7ru6sb1kp3WlFq80O1J+250EaMobabMmVyx4me7xjc2cDc2aRTz/m5tdoOrWLmCe3/wcDf320UmYvGdzylR1NWqU922812PJRTz7T/4NTd5wnQ3fswkt2L5avs3w3UQXvgeSaVz1alf0wQYvtd1N119TO9PCCFE6pEhdLyr9AkhhBBCHEPGjPrcPfPEy67QGQXd+Kkf6bdNozz92Etu7OgJFvX13MuPu/TEYw91dhPHT7Xonj5vvXK8b0cIIUQyUQ0YIYQQQgghThBoq+0LWxPhJYQQ4sRBAowQQgghhBAnABQ/fuHZHlbHqNg5Z7vqNZNXUFkIIUR8oBowQgghhBBCxDE9ur7pJk+c7rZv/d0KBFP7hQLCx7v2jhBCiJQhAUYIIYQQQog4hvbfP//0i8uSNYsrd+557s57WrhLLr34eN+WEEKIFKIivEIIIYQQQgghhBCpjOIWhRBCCCGEEEIIIVIZCTBCCCGEEEIIIYQQqYwEGCGEEEIIIYQQQohURgKMEEIIIYQQQgghRCojAUYIIYQQQgghhBDCpS7/B49pyLYlmYpgAAAAAElFTkSuQmCC",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "86f73d90c12e7b88a5b74ce0ff8035d7993a997a4524e4f2a55a872bd677540a",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BF16-accum / FP32-accum max error ratio: 1.49\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "baf53034a8b0183a2e461d8b1808677f50b275def8310454cab6b6249fb1e6ad",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Warmup ms: 17.276 Traced steady step ms: 0.0871\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "5aadfe35beef72e9894ccd95d0e45f61a3590d789fba9c1a13086cdc8ad8e3e0",
      "outputs": []
    },
    {
      "sourceHash": "9b5ef9107823cca095f0b68ea59f4cec8bb1441a0b87a7ed251f1b61dda21dd3",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Seed 42 mean errors: {'bf16 (fp32 accum)': 0.0075, 'bf16 (bf16 accum)': 0.00902, 'int8 per-col (fp32 accum)': 0.02182} xplane files: 5\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "4dc6e21de6657b323bdf35fe169f29e39a64ad4885e73092b83cc498901e4c9f",
      "outputs": []
    },
    {
      "sourceHash": "691556b6eda49107054041df51736a8c0c6bb1b1c156c0911d57896c0e83e698",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean error (per-channel vs per-tensor): 0.01389 0.0979\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "64b77bb80c05cce8d838e4d486ecf4a1b1050635e158f8f1ea2fde1f9bee284d",
      "outputs": []
    },
    {
      "sourceHash": "48034c4d7970d2cdf97f8d7b89797c4be2bb992076c4c51b95dc9e5596630ed6",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "xplane.pb bytes: 275228\n"
          ]
        }
      ]
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}
