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README.md
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---
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pipeline_tag: text-generation
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inference: false
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license: apache-2.0
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library_name: transformers
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tags:
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- language
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- aquif_moe
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- text-generation-inference
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- 17b
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- qwen-like
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- bailing-like
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- science
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- math
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- code
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language:
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- en
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---
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# aquif-3-moe (17B)
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A high-performance mixture-of-experts language model optimized for efficiency, coding, science, and general use. With 17B total parameters and 2.8B active parameters, aquif-3-moe delivers competitive performance across multiple domains while maintaining computational efficiency.
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## Model Details
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**Architecture**: Mixture of Experts (MoE)
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**Total Parameters**: 17 billion
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**Active Parameters**: 2.8 billion
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**License**: Apache 2.0
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**Library**: transformers
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## Performance Benchmarks
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AAAAABAYBLwAAQA1kZrg7ZswY5eXlBfSmZQAAAABKR8ALAABQw5gd7qanpys1NdWM0gEAAACcJAJeAACAGiQQ4e7sN96Qx+02o3wAAAAAJ4mAFwAAoIYIVLjL1AwAAABA8CDgBQAAqAEIdwEAAIDayVbdBSD0GIYhwzCqtQaPx8OduwEA+Et0TAzhLgAAAFBLEfDipBmGodzcXB07dqzU9RaLRXa7XR6Pp9wTQcMwZLfbJUlOp9PnCWlhW5vNprCwMAJeAAAkWa1WxcfH69NPPyXcBQAAAGohAl5UyrFjx3QoI0NHjhwptjwsPFzJycnKzc1Vamqqzxuw2B0OJScnq8DpVEpqqlwFBWW2tdpsSk5KkmEYOnbsmMLCwvy2LwAAhDKbzabMzEzCXQAAAKCWIuBFpR05ckRPP/2099+FJ4Pr168v92QwNjZWY2+8UVu3bNHMmTOVnZ1dZtvIyEiNHTtWO3ftkt1uV0JCgl/3AwCAUOZyubR///5qCXere8omAAAAANxkDX5yMieDheFuXm5uhcPdsPBwzZwxQ05GEAEAUExBQYFUDeGu3eHwTrMEAAAAoPoQ8KLKAhXuHjx40IzyAQCoscwKd2NjY5WcnGxGyQAAAABOElM0oEoIdwEACE5mhrtjb7xRbpfL5zYBAAAABAYjeFFpYeHhhLsAAAQhs8PdvNxcpaSm+pz3FwAAAEBgEPCiUiwWi5KTk4Mi3LVYLNX+AwBAsAhEuDtz5ky5CgrMKB8AAADASWKKBlSK3W5Xbm5utYe7hbIOV98lotH1rNXWNwAARQUq3PV1PAcAAAAQWAS8qBSPx6PU1NSgCHcLrVt5VC5X4C4VtVoNdT+3bsD6AwDAF8JdAAAAoHYi4EWl5Ofny+N2l7nerHDXsFjkcDhKXedyeeSjJBMw7yAAIDhEREYS7gIAAAC1FJOHwu/MCncdDoeSkpJkGIYZZQMAEJIsFosSExMJdwEAAIBaioAXfmVmuDtq9GiFhYXJ6XSaUToAACHJbrcrJyeHcBcAAACopQh44Tdmh7vx8fFKSUmRO7DzMAAAENTcbrf2pqVVS7jLVTUAAABA9SPghV8EItydNWuW8nJzzSgfAICQ5XQ65fGUPS+8WeGu1WaT3W6vUu0AAAAAqo6brKHKAhXu7klNNaN8AABqLLPC3cjISCUnJZlRMgLMYgmO8R5coQUAAFB5BLyoEsJdAACCk5nh7tixY2WxWpkXv4bYn1P29B6B0CjCWq39AwAAhLpaEfC63W4tWbJEmzZt0pEjRxQdHa2uXbvqwgsv9M4d5/F4tHjxYq1bt07Hjh1T8+bNNWTIEMXFxVVz9cHL7nAQ7oaIYBidw8gcAAgcs8PdsPBwpaSkKCEhwYzyUQ3m/5KlAnfZU32YwWYxNLRjdED7BAAAqIlqRcC7YsUKff/997r66qvVqFEj7dmzR//5z38UHh6uXr16edt8++23uuqqq9SgQQMtWrRIs2bN0p133sn8cqUwDEPJycnaumUL4W6IcB9Kq7a+LfUTq61vAKhtAhHuzpwxQ2PHjjWjfFSTArdHroB/FxvYQBkAAKCmqhUB765du9ShQwedcsopkqQGDRpo8+bNSklJkXR89O7q1at14YUXqmPHjpKka665Ro899pi2bNmiTp06VVvtwcput6vA6STcDTHHvnlTcgXwclqrXXXOuyFw/QFALReocNfX8RwAAABAYNWKgLdZs2Zas2aN/vzzTzVs2FBpaWnatWuXBgwYIEnKyMjQkSNH1Lp1a+9jwsPDlZycrF27dhHwliElNZVwtxTBMB2CVMaUCC6n5CoIfDEAANMR7gIAAAC1U60IeM8//3zl5ubqueeek2EY8ng86tevnzp37ixJ3pOayMjIYo+LjIws84QnKytLR44ckVQ8SPN4av6lZh6PR06nU66CsoNCs8JdwzBkt9vl8XhKea6r77k/sZZdu3ZVUyXHNWvWLOheiyXq8Xj++gl0IX/1XVpNABBiCj/HwsLDqy3cDbZjshR8n+/BVo90Qk0ck0sItnoAAAB8qRUB708//aTNmzfr2muvVXx8vNLS0vTZZ595b7ZWGWvWrNHSpUslHT9RuuKKK1RQUOC9aVtN5nA45Ha7//qbvOQfv5GRkRrz18ngjOnTyw93R41SfKNGmjVzplJ9hLtWq1UJiYnekL7wzt0Wi0XyFJ5gVnn3KszjkbffoncRLxzB+9xzz/k8wTaDw+HQXXfdVWZNnsITuEApctJWVj2BPn8q7O/EmgAgFDkcjuPz4iclaf369XqjguFubm6uZs6YUW646+t4Xvh3QDAck6Xyj8ulB9Fm1lP+MbC6DoIlfmcKrmNytf3OVPrvDAAAIBBstsrHtLUi4P3iiy/Uu3dv71QLjRs31qFDh7R8+XJ17drVO3I3Oztb0dH/u5NvdnZ2mXeHPvPMM9WhQwdJx0fwOp1O2Wy2WnFDNsMwjv/89f9FnTjSJyMjo8zQu8TI3T17ymxrtVp1zbXXKiIiQk6n0zuSt7AeGYV1+XVXfTIMefst+nsv3Aen06kCH6OczanJ8P73xJo8hesD/iSV/RwF+ndWpKQSNQFAKDIMQw6HQ7m5uZo9e7b3GFmaoiN3Z82cqZycnDLbVuR4Xvh3QDAck4/3LZ/H5cJaA1dPkB2Tj3deoqZgPCYXq0nV/zsDAAAIdrUi4C3tZMdisXhHBDRo0EBRUVH6/ffflZiYKEnKzc1VSkqKzjrrrFK3GR0d7Q2D8/LytGfPHkklA8+aqKIng/6alqEw3G3Xtq3S0tIUGxtbxkla9T33wfh7D7aaStRTeGIb6DINFTvBBYBQVnhVS2pqarXNuRtsx2Qp+D7fg60e6YSaOCaXEGz1AAAA+BIcd4My2SmnnKKvv/5a27ZtU0ZGhn7++WetWrVKHTt2lHT8D7hevXrp66+/1pYtW7Rv3z69//77io6O9o7ShW+BCHfnzp2rHB8npAAA1Eb5+fnylHZjzb+YFe4aFoscDkeVagcAAABQdbViBO/gwYO1aNEiffzxx95pGHr06KGLLrrI2+b8889Xfn6+PvroI+Xm5qp58+YaPXo0l2dVQKDC3e3bt5tRPgAANZZZ4a7D4VBSUhKjHAEAAIAgUCsC3rCwMA0aNEiDBg0qs41hGOrXr5/69esXwMpCH+EuAADBycxwd9To0QoLC+NGVAAAAEAQqBVTNMAcVpuNcBcAgCBkdrgbHx+vlJQUuX1MDQEAAAAgMAh4USmGYSg5KYlwFwCAIBOIcHfWrFnKy801o3wAAAAAJ6lWTNEA/7Pb7XK73YS7AAAEkUCFu76O5wAAAAACi4AXlZaSkkK4ixrDYqn+Cxq41BlAVRDuAgAAALUTAS8qxel0ypmfX+Z608Jdw5DNxssW5kg5WnbAYbbkurHV1jeA0Gd3OAh3AQAAgFqKpAyV4vF4ylxnVrhrGIYaNWokq9VapdoBX179daGcblfA+rNbrLqlbf+A9Qeg5jEMQ8nJydq6ZQvhLgAAAFALEfDCr8wMdwdddpliYmJUUFBgRumAJMnpdsnpCVzAK2ZlAFBFdrtdBU4n4S4AAABQS1X/pJOoMcwOd7t376709HS5XAEM3wAACAEpqamEuwAAAEAtRcALvwhEuDt//nxlZWaaUT4AACHL6XTK5ePqFrPCXcMwZLfbq1Q7AAAAgKoj4EWVBSrc3bhhgxnlAwAQ0nzNi29WuGu1WpWQmCiLhT8lAQAAgOrGX+WoEsJdAACCk5nh7jXXXquIiAg5nU4zSgcAAABwEgh4UWmGxUK4CwBAEDI73G3Xtq3S0tLkdnOnSAAAAKC6EfCi0pKSkgh3AQAIMoEId+fOnascHzd1AwAAABA4tuouAKHJ4XBIEuEuAABBJFDhrq/jOQAAAIDAYgQvKsUwDKWkpBDuAgAQJAh3AQAAgNqJgBeV4nQ6lZebW+Z6M8Ndm42B5wAAFGW12Qh3AQAAgFqKgBeV4uumKmaGuw1iY2W1WitdNwAANY1hGEpOSiLcBQAAAGopAl74lZnhbu/evRUXFyeXy+XvsgEACFl2u10Wq5VwFwAAAKilCHjhN2aHu3369tWBAwdUUFDg79IBAAhpKSkphLsAAABALUXAC78IRLi7ZPFiZfg4eQUAoDZyOp1y5ueXud60cNcwmBcfAAAACAIEvKiyQIW7y5cv93PlAACEPo/HU+Y6s8JdwzDUqFEj5sUHAAAAggABL6qEcBcAgOBkZrg76LLLFBMTw7RJAAAAQBAg4EWlGYZBuAsAQBAyO9zt3r270tPTufEpAAAAEAQIeFFpCYmJhLsAAASZQIS78+fPV1ZmphnlAwAAADhJBLyoFLvdroiICMJdAACCSKDC3fKO5wAAAAACh4AXlWKxWJSWlka4CwBAkCDcBQAAAGonAl5UitPpVE52dpnrzQx3uWM3AADFGRYL4S4AAABQS9mquwCEJrfbXeY6M8Pd6JgY2Wy8bAEAKCopKUkOh4NwFwAAAKiFSMrgV2aGu126dlV8fDx37AYAoAiHwyFJhLsAAABALcUUDfAbs8PdoUOHKjMzUwUFBX6sGgCA0GYYhlJSUgh3AQAAgFqKgBd+EYhwd926ddq/f78fqwYAIPQ5nU7l5eaWud7McJdpkwAAAIDqR8CLKgtUuPvpggWSx+PHygEACH2+5sU3M9xtEBvLjU8BAACAIEDAiyoJZLjrIdwFAKDCzAx3e/furbi4OObFBwAAAIIAAS8qj3AXAICgZHa426dvXx04cIB58QEAAIAgQMCLSmvUqBHhLgAAQSYQ4e6SxYuVcfCgv0sHAAAAUAkEvKgUm82mmJgYwl0AAIJIoMLd8o7nAAAAAAKHgBeVYrValZ6eTrgLAECQINwFAAAAaicCXlRKQUGBsjIzfbYxK9y1WHjZAgBQlGEYhLsAAABALWWr7gIQmsq7a7ZZ4W5EZKTsdntlSgYAoMZKSExU3bp1CXcBAACAWoihkPA7s8Lddu3aKTExUW63288VAwAQuux2uyIiIgh3AQAAgFqKEbzwKzPD3eHDhysnJ0c2Gy9bAAAKWSwWpaWlEe4CAAAAtRQjeOE3Zoe723/9VXvT0vxcNQAAoc3pdConO7vM9WaGu1artTIlAwAAAPAjAl74RSDC3ffmzfPZFgCA2sjX1EVmhrvRMTFcVQMAAAAEAQJeVFmgwt3ybuwGAAD+x8xwt0vXroqPj+fYDAAAAAQBAl5UCeEuAADBx+xwd+jQocrMzFRBQYEfqwYAAABQGQS8qLQGsbGEuwAABJlAhLvr1q3T/v37/Vg1AAAAgMoi4EWl2Gw2xcXFEe4CABBEAhXufrpggcS8+AAAAEBQIOBFpVitVh04cIBwFwCAIBHIcJebngIAAADBg4AXleJyuZRx8KDPNmaFuxYLL1sAAIoh3AUAAABqLVt1F4DQVN5NVcwKd8PCw2W32ytdNwAANVGjRo0UFRVFuAsAAADUQgyFhN+ZFe42SUpScnIyJ5cAABRhs9kUExNDuAsAAADUUgS88Cszw90xY8YoLy9P+fn5ZpQOAEBIslqtSk9PJ9wFAAAAaikCXviN2eFuenq6UlNTzSgdAICQVVBQoKzMTJ9tzAp3mRcfAAAAqH78VQ6/CES4O/uNN+Rxu80oHwCAkOXrOCqZF+5GREYyLz4AAAAQBAh4UWWBCneZmgEAgJNjVrjbrl07JSYmys0XrwAAAEC1s1V3AQhthLsAAAQnM8Pd4cOHKycnRzYbf0oCAAAA1Y0RvKi06JgYwl0AAIKQ2eHu9l9/1d60ND9XDQAAAKAyCHhRKVarVfHx8YS7AAAEmUCEu+/Nm+ezLQAAAIDAIeBFpdhsNmVmZhLuAgAQRAIV7pZ3YzcAAAAAgUPAi0pxuVzav39/tYS7hmFUqXYAAGoiwl0AAACgdiLgRaUUFBRI1RDu2h0O2e32KtUOAEBN0yA2lnAXAAAAqKUIeOF3ZoW7sbGxSk5ONqNkAABCls1mU1xcHOEuAAAAUEvZqrsA1Cxmhrtjb7xRbpeLE0wAAIqwWq06cOAA4S4AAABQSzGCF35jdribl5urlNRU7toNAEARLpdLGQcP+mxjVrhrsfCnJAAAAFDd+KscfhGIcHfmzJlyFRSYUT4AACGroJxjo1nhblh4OPPiAwAAAEGAgBdVFqhwNzs724zyAQCoscwKd5skJSk5OZmragAAAIAgQMCLKiHcBQAgOJkZ7o4ZM0Z5eXk+j+UAAAAAAoOAF5UWERlJuAsAQBAyO9xNT09XamqqGaUDAAAAOEkEvKgUi8WixMREwl0AAIJMIMLd2W+8IY/bbUb5AAAAAE4SAS8qxW63Kycnh3AXAIAgEqhwl6kZAAAAgOBBwItKcbvd2puWVi3hrmEYVaodAICaiHAXAAAAqJ0IeFEpTqfT54mjWeGu1WaT3W6vUu0AANQ00TExhLsAAABALUXAC78zK9yNjIxUclKSGSUDABCyrFar4uPjCXcBAACAWoqAF35lZrg7duxYWaxWOZ1OM0oHACAk2Ww2ZWZmEu4CAAAAtRQBL/zG7HA3LDxcKSkpPk9eAQCobVwul/bv318t4S7z4gMAAADVz1bdBaBmCES4O3PGDI0dO9aM8gEACFkFBQVSNYS7doeDefEBACjFoUOHNH36dH2zYoUOHDigiIgItW3bVg8+9JCSkpI0aOBA7d27t8TjLrnkEk167DGf2z548KCmTJmiVStXKjs7W0lJSbryqqt0zTXXmLU7AEIAAS+qLFDh7sGDB80oHwCAGsuscDc2NlbJyclmlAwAQEg7fOiQRt1wg/bs2SO73a6mzZpJHo9+/PFHHfjzTyUVua9MixYtFBER4f13UjnH1mPHjulvN92kXbt2KSwsTAkJCfrvf/+rZ55+WocyMnTL3/9u2n4BCG4EvKgSwl0AAIKTmeHu2BtvlNvl8rlNAABqo6nTpmnPnj1q2aqVpr7yiuIaNpQkOZ3OEtMp3Xf//erWrVuFt/3hhx9q165dMgxDs998U23atNHzzz2nOXPmaPbs2brq6qsVGxvr1/0BEBqYgxeVFhYeTrgLAEAQMjvczcvNVUpqKvPiAwBQhMfj0ZLFiyVJjePjNW78eJ3Tq5eGXXutli5dKofDUaz9ff/4h3qefbYuHzpUL774os/zZEn69ttvJUnJTZuqTZs2kqQLL7pI0vEpm9atXevvXQIQIgh4USkWi0XJycmEuwAABJlAhLszZ86Uq6DAjPIBAAhZhw4dUlZWlqTjYWz2kSOKjo7Wb7/9pocefFBLlizxto2IiFDDhg0VGRmp3bt36+233tKtEybI7XaXuf30ffskSQ3q1/cui23QwPv/+/5aD6D2IeBFpdjtduXl5RHuAgAQRAIV7pY3wggAgNqo6HG3RYsW+mTBAn2yYIFatGghSXr//fclSZOfflpfL1umee+9py++/FKXDhggSfrpp5/04w8/nFSfXEsDQCLgRSV5PB6lpqYS7gIAECQIdwEAqF7169WT3W6XJLVp21Z2u112u11t2raVJO1NS5MkdejQQVarVZJks9nUt08f7zZ8jcKNb9xYkpRx6JB3WUZGhvf/G/+1HkDtQ8CLSsnPz5fHx6UjZoW7hsVSYt4iAABqu4jISMJdAACqmc1uV+cuXSRJv//2mwqcThU4nfr9t98kHZ87d8eOHfr444+9x1+Xy6WlS5d6t5GQmChJWvb117ri8st1xeWXa//+/ZKknmefLUlK2b1bv/21za//eqzNZlP3Hj0CsJcAgpGtugtAzWNWuOtwOJSUlCTDMMwoGwCAkGSxWJSYmKhly5YR7gIAUM3G/f3v2rRxo/744w9ddtllkqT9+/fLarVqzOjROnTokB6bNElPT56spORkZR4+7D0P7t69u04//XRJUnZ2tnbt2iXp+A3UJOnyK67QRx99pN27d2vUDTcovnFj7f6rzfUjRyo2NjbQuwsgSDCCF35lZrg7avRohYWFyel0mlE6AAAhyW63Kycnh3AXAIAgcOppp2naq6+qa9euysrKUl5ennqceaZmzpypbt27q0WLFhoxYoSaNWum/enpOnbsmFq3bq0JEybo+Rde8DmgqW7dunr99dc1cOBA1alTR2l79qh58+a6++67NX78+ADuJYBgwwhe+I3Z4W58fLxSUlIUHx9vRvkAAIQkt9utvWlp1RLuclUNAAAlnXHGGXrt9ddLXRcbG6s777qr3G0MuuwyDfprBHBRcQ0bauIjj1S5RgA1CyN44ReBCHdnzZqlvNxcM8oHACBkOZ1OeTxl30PbrHDXarN5byQDAAAAoPoQ8KLKAhXu7klNNaN8AABqLLPC3cjISCUnJZlRMgAAAICTRMCLKiHcBQAgOJkZ7o4dO1YWq5V58QEAAIAgQMCLSrM7HIS7AAAEIbPD3bDwcKWkpPicGgIAAABAYBDwolIMw1BycjLhLgAAQSYQ4e7MGTPk9LFdAAAAAIFDwItKsdvtcrtchLsAAASRQIW7vo7nAAAAAAKLgBeVlpKaSrgLAECQINwFAAAAaicCXlSK0+mUq6CgzPVmhbuGYchut1epdgAAapqw8HDCXQAAAKCWIuBFpfi6qYpZ4a7ValVCYqIsFl62AAAUslgsSk5OJtwFAAAAaimSMviVmeHuNddeq4iICDmdTjNKBwAgJNntduXl5RHuAgAAALUUAS/8xuxwt13btkpLS5Pb7TajfAAAQpLH41FqairhLgAAAFBLEfDCLwIR7s6dO1c5Pk5IAQCojfLz8+Xx8eWnWeGuYbHI4XBUqXYAAAAAVWer7gIQ+gIV7m7fvt2M8gEAqLHMCncdDoeSkpJkGIYZZQMAEHIMwwiK46LH4/F5zxwANRMBL6qEcBcAgOBkZrg7avRohYWFMS8+AAB/MQxDeXl5cjqd5R4fLRaL7Ha7PB6PzymWCrdrt9slSU6n02d4W6dOHYWHhxPwArUQAS8qzWqzEe4CABCEzA534+PjlZKSovj4eDPKBwAgJDmdTu3fv19HsrLKbBMWHq7k5GTl5uYqNTXV5zRLdodDycnJKnA6lZKaKldBQZltY+rVY+okoBYj4EWlGIah5KQk7dy1i3AXAIAgEohwd9asWRoxfLgZ5QMAELKcTqeOZGXp6aefLnV9k6QkjRkzRuvXr9fsN96o0A1St27ZUqHjeVl9AqgdCHhRKXa7XW63m3AXAIAgEqhw19fxHAAAlFQY7qanp1c43D2Z47nFamXqJKAWs1R3AQhdKSkphLsAAAQJwl0AAIKT2eFuWHi4UlJSmHsXqMUIeFEpTqdTTh8HJdPCXcOQzcbAcwAAirI7HIS7AAAEoUCEuzNnzPB5fg6g5iMpQ6X4+mbQrHDXMAw1atRIVqu1SrUDAFCTGIah5OTkCs/RR7gLAEBgBCrcLet4brFU/5g+t4+byAHwHwJe+JWZ4e6gyy5TTEyMCnzcORQAgNrGbrerwOkk3AUAIIhUd7hbKOuwq9L7UFXR9RicBQQKAS/8xuxwt3v37kpPT1e9evVMqB4AgNCVkppKuAsAQJAIlnC30LqVR+VyBW5+XqvVUPdz6wasPwDMwQs/CUS4O3/+fGVlZppRPgAAIcvpdMrl4+oWs8JdwzBkt9urVDsAADVNWHh4UIW7kuRyeeR2K2A/gQyTARxHwIsqC1S4u3HDBjPKBwAgpPmaF9+scNdqtSohMTEo5vYDACBYWCwWJScnB1W4C6B24K9yVAnhLgAAwcnMcPeaa69VRESEnE6nGaUDABCS7Ha78vLyCHcBBBwBLyrNsFgIdwEACEJmh7vt2rZVWload8YGAKAIj8ej1NTUagl3DYtFDoejSvUDCF0EvKi0pKQkwl0AAIJMIMLduXPnKsfHCSkAALVRfn6+PD6+/DQr3HU4HEpKSpJhGFWqH0DoslV3AQhNhd8MEu4CABA8AhXu+jqeAwCAkswMd0eNHq2wsDCmTgJqMUbwolIMw1BKSgrhLgAAQYJwFwCA4GR2uBsfH6+UlBSmTgJqMQJeVIrT6VRebm6Z680Md202Bp4DAFCU1WYj3AUAIAgFItydNWuWz/NzADUfAS8qxdc3g2aGuw1iY2W1WitdNwAANY1hGEpOSiLcBQAgyAQq3PV1PAdQOxDwwq/MDHd79+6tuLg4uVwuf5cNAEDIstvtslithLsAAAQRwl0AgcS17vAbs8PdPn376sCBA4qMjPR36QAAhLSUlBTCXQAAggThbuksluAYY8hcxaiJCHjhF4EId5csXqwePXoQ8AIAUITT6ZQzP7/M9aaFu4bBvPgAAJzA7nAQ7vqwa9euau2/WbNm1do/YBb+KkeVBSrcXb58uXr06OHv8gEACGkej6fMdWaFu4ZhqFGjRsyLDwBAEYZhKDk5WVu3bCHc9eH5559Xvo8vp83gcDh05513BrRPIJAIeFElgQx3AQBAxZkZ7g667DLFxMSooKDAjNIBAAhJdrtdBU4n4W458vPz5XQ6q7uMoJwyIhhqYgqL0ETAi0ozDINwFwCAIGR2uNu9e3elp6erXr16JlQPAEDoSklNrZZw1zAM2e32KtVeG7kPpVVr/5b6iSWW7c+pvhvLN4rg6qxQRcCLSktITFTdunUJdwEACCKBCHfnz5+vPhddRMALAEARTqdTLh9Xt5gV7lqtViUkJgbF6M9QdOybNyVXgEcUW+2qc94NZa6e/0uWCtxlT8PlbzaLoaEdowPWH/yPgBeVYrfbFRYWpmlTpxLuAgAQJAIV7m7csEF9LrrIjF0AACBk+ZoX38xw95prr1VERERQTHsQklxOyRVc004VuD1yBXSmhMCFyTAHX++gUiwWi9LS0gh3AQAIEoEMdwEAQMWZHe62a9tWaWlpzJ0K1GIEvKgUp9OpHB/zCpkZ7nLHbgAAijMsFsJdAACCUCDC3blz5/o8PwdQ8zFFAyrF1zeDZoa70TExstl42QIAUFRSUpIcDgfhLgAAQSRQ4a6v4zmA2oGkDH5lZrjbpWtXxcfHy+WqvjtKAgAQbBwOhyQR7gIAEEQIdwEEUq0JeDMzM/Xll1/q119/VX5+vmJjY3XVVVcpKSlJ0vHJ0BcvXqx169bp2LFjat68uYYMGaK4uLhqrjx0mB3uDh06VJmZmQoPD/dj1QAAhDbDMLR7927CXQAAggThLoBAqxVz8B49elTTpk2T1WrV6NGjddddd2nAgAGqU6eOt82KFSv07bffasiQIRo/frzsdrtmzZrFXSgrKBDh7rp167R//34/Vg0AQOhzOp3Ky80tc72Z4S7TJgEAUJzVZiPcBRBwtSLgXbFiherVq6errrpKycnJatCggdq2bavY2FhJx0fvrl69WhdeeKE6duyohIQEXXPNNcrKytKWLVuqufrgF6hw99MFCySPx4+VAwAQ+nzNi29muNsgNpYbnwIAUIRhGEpOSiLcBRBwtWLYxdatW9WmTRvNmTNHf/zxh6Kjo3X22WerR48ekqSMjAwdOXJErVu39j4mPDxcycnJ2rVrlzp16lRim1lZWTpy5Iik4idWnloQQBbdx0CGu0X79Xg8pTzX1ffcB+PvPdhqKlGPx/PXT6ALkfeLgqB/jgCgHL4+N8wMd3v37q24uDg5nc6gOyZLwfd5Gmz1SCfUxDG5hGCrB0Dw83g8stvtcrvd1RruBttxORg/T4OtpqA4Vw7iYzIqplYEvBkZGVqzZo3OOecc9e7dW6mpqVqwYIGsVqu6du2q7OxsScfnySkqMjLSu+5Ea9as0dKlSyVJsbGxuuKKK1RQUCDDMMzdmSDgcDi8b/hBgwYdPxn86CNtKO9k8IIL1KdPHy1evFjLly3z2bZrYbi7dq0WFAl3j3/mHD9gFU6fYbFYJE/h8qrvX0V5PPL2W3QqD4vF8tf60g6sZtf0vw/ksmoK/JNU3nMUuHKKlBQ0vzePSn+OAKAiCo/JhcfHQoUng23bttWcOXPKD3crcTw/cOCAIiIiguKYLAXfcTnojsnHOy1RE8fkIvVU4zF5xowZmjVzZqnrvlm50jsdyqZNm/TWm29qy5YtysvLU4MGDXTueefpzjvvLHPbj02apC+++KLM9d9+913Vigcg6X83PU1JSdGBAwd8ths1apTiGzXSrJkzlVqBcLcix3Pp+NRJwXBcDrZjcmGfhf8t7RgYDMfkE2uqhlN3zkurWVWmP6sVAa/H41GTJk108cUXS5KaNGmi9PR0rVmzRl27dq3UNs8880x16NBB0vERvE6nUzabTXa73W91ByvDMGQYhhrFxysqOvr4SJ+NG32G20VH7q5Yvtxn22Ijdz/91NunJBlF+i98rg3DkIzC5f7bz/IYhrz9Fv29e2v9q85AKtr3iTV5CtcH/Ekq7zkKXDlFSvJdkwJXVFm/MwCoiMJjTeHxUSo50ufXX38t83hUYuTuSRzPe/ToocjIyKA4Jh/vW0F1XA66Y/LxzkvUxDG5aD3Vd0y2/nVCX69ePe9NoAs5HA5ZrVYtXrxY/3roIblcLsXExKhFixY6cuSIvv/uO9n/8Y8yt53ctKlOPfXUYst27NihY8eOKTY2lr8/AD8xDENOp1PO/PwyjzclRu7u2VNm25M9njeKj5fVag2K43KwHZNP7Lvo8xNMx+QT66yGU3fOS0NYrQh4o6Ki1KhRo2LLGjVqpJ9//lnS/0buZmdnKzo62tsmOztbCQkJpW4zOjra2zYvL0979uyRpIB/SFUHwzBks9kUExOjuXPnBmxahhNrKPlcV99zH4y/92CrqUQ9hQfRQJdpqNjBNJgEWz0Agt+JnxtmT8tQ9HheONVVsB2TpeD7PA22eqQTauKYXELA6/mrv3POOUcTH3mkxOpjx45p8lNPyeVyaeQNN2jcuHHeUT45OTk+673pppt00003ef/9559/6rJBgyRJ11x7bdA990CoMgzD56hUs6ZlKDyex8TEeK8qDqbjcjB+xgRbTUFxrhzEx2RUTK24yVqzZs1KXCLx559/ql69epKkBg0aKCoqSr///rt3fW5urlJSUtSsWbNAlhoyrFar0tPTqyXcBQAAJQUy3AVgjq+//lq9evZU/379dMftt2vbtm2Sjk8Pl5mZKUnKOHhQAy69VBddeKHuvPNOZWRknFQf8959V06nU3Xq1NGVV17p930AUJLZ4W737t2Vnp4ul8tlRvkAQkCtCHjPOecc7d69W8uWLdOBAwe0efNmrV27Vmeffbak4x+KvXr10tdff60tW7Zo3759ev/99xUdHe2dhgHFFRQUKOuvPzLLYla4WzgnDQAAOM4wDMJdIMRZrVbFxsYqISFBBw8e1KpVqzRm9Ght27ZNu3bt8rb7/PPPFVOvnnJzc7Xym29089/+puy/bv5cnqNHj+qjjz6SJA0ePLjY1YsAzBGIcHf+/Pnlnp8DqNlqxRQNycnJuv766/XVV19p6dKlql+/vgYNGqTOnTt725x//vnKz8/XRx99pNzcXDVv3lyjR49m7pEylPfNoFnhbkRkJL8TAABOkJCYqLp16xLuAiHq4osv1rXXXquYmBhJ0nfffqtbb71V+fn5+s/776tJkXl5b77lFt14443atGmTbrrxRu3fv1/Lli3ToMsuK7ef+fPn68iRI7JarRo+YoRp+wPguECFuxs3bFCfiy4yYxdQywXLADu3213dJQS9WhHwSlL79u3Vvn37MtcbhqF+/fqpX79+AayqZjIr3G3Xrp0SExN5YwMAUITdbldYWJimTZ1KuAuEqBOnhTu7Z0/FxMQoMzNT+/btKzYwpeNfVxh27NjRuyxt795y+ygoKNC7c+dKki7q00eJiYn+KB1AGQIZ7gJmSjl6sFr7T64bW639h4paE/AiMMwMd4cPH66cnBzvDSUAAMDxkRVpaWmEu0AImz17ti7u31+N/7rB8/fff++dczcxMVHduneXxWKR2+3Wlq1bdXbPntqyZYv38U2TkyVJy77+WlOmTJEkTXv11WI3ml6yeLH27dsnSbr++usDsl9AbUW4i5rm1V8XyukO7BzPdotVt7TtH9A+QxlJGfzG7HB3+6+/KjkpSclNm/q5cgAAQpfT6VROdnaZ680Md61Wa2VKBnCCDz/4QK9MmaL4+HjVqVNHO3fulCTVqVNHw4YPV+PGjXX11Vdr3rx5enXaNC1auFB79uyRJLVs2VIX9ekjScrOzvbO11tQUFCsj3feeUeS1K1bN59XNgKoGsNiIdxFjeN0u+T0BPgmfly8fVKCYzINhLxAhLvvzZvnsy0AALWRr6mLzAx3o2NiuKoG8JPRY8aoe48eKigo0J49e5SQkKBLLrlEb7/zjlq2bClJuuvuuzXh1luVlJSk3bt3KzY2Vldfc41mzJwph8Phc/vr1q7Vtm3bJEnXMXoXMFVSUhLhLoCA469yVFmgwt3ybuwGAAD+x8xwt0vXroqPj+fYDPjJ5Zdfrssvv9xnG4vFolGjRmnUqFFlthl02WWl3myte48eWk8gBJiu8MsWwl0AgcYIXlQJ4S4AAMHH7HB36NChyszMLHEJOAAAtZlhGEpJSam2cJcra4Dai4AXldYgNpZwFwCAIBOIcHfdunXav3+/H6sGACD0OZ1O5eXmlrnezHC3QWwsc+MDtRgBLyrFZrMpLi6OcBcAgCASqHD30wULJObFBwCgGF/z4psZ7vbu3VtxcXGcPwO1GAEvKsVqterAgQOEuwAABIlAhrvc9BQAgIozO9zt07evDhw4wNRJQC1GwItKcblcyjh40Gcbs8Jdi4WXLQAAxRDuAgAQlAIR7i5ZvLjc83MANRtJGSqlvG8GzQp3w8LDZbfbK103AAA1UaNGjQh3AQAIMoEKd8s7ngOo+Qh44XdmhbtNkpKUnJzMySUAAEXYbDbFxMQQ7gIAEEQIdwEEEgEv/MrMcHfMmDHKy8tTfn6+GaUDABCSrFar0tPTCXcBAAgShLsAAo2AF35jdribnp6u1NRUM0oHACBkFRQUKCsz02cbs8Jd5sUHAKA4wzAIdwEEHH+Vwy8CEe7OfuMNedxuM8oHACBk+TqOSuaFuxGRkcyLDwDACRISEwl3AQQcAS+qLFDhLlMzAABwcswKd9u1a6fExES5+eIVAAAvu92uiIgIwl0AAWer7gIQ2gh3AQAITmaGu8OHD1dOTo5sNv6UBPzBMAwZhlGtNXg8HubbBqrIYrEoLS2t2sJdq9VambIB1AD8VY5Ki46JIdwFACAImR3ubv/1VyUnJSm5aVM/Vw7UToZhKDc3V8eOHSt1XeF0KE6n0+d79GTaSpLD4ZBhGLJYLAoPDyfgBarI6XQqJzu7zPVmhrvRMTF88QrUYrz7USlWq1Xx8fH69NNPCXcBAAgigQh335s3T3fffbefKwdqt2PHjulQRoaOHDniXWZ3OJScnKwCp1MpqalyFRSU+XirzabkpCS53W6lpKTI6ePvaMNiUVJSkiTp4MGDioyMVHh4uP92BqilfE1dZGa426VrV8XHx5c7Lz+AmsvvAe+uXbv066+/6s8//9TFF1+sBg0aaM+ePapfv77q1q3r7+5QTWw2mzIzMwl3AQAIIoEKdzmBBMxx5MgRPf3005Kk2NhYjb3xRm3dskUzZ85Uto9RgZGRkRo7dqx27tqlmTNm6ODBg2W2dTgcGjV6tBwOh2bNmqURw4crMjLS7/sC4H/MDneHDh2qzMxMvqgBajG/Bby5ubl67rnntGLFChmGIY/Ho+7du6tBgwaaOXOmEhISdNNNN/mrO1Qzl8ul/fv3V0u4W93zkwEAEIwId4GaozDczcvNrXC4GxYeXuFwNz4+XrNmzdKe1FQzygdQRCDC3XXr1umUU05RU6ZOAmoti7829Prrr2vz5s16/PHH9cknnxQ7UejRo4fWrVvnr64QBAoKCqRqCHftDod3XjEAAHBcg9hYwl2ghiDcRWVYLJag+EFxgQp3P12wwOf5OYCaz28jeFeuXKmbbrpJ3bp1K/HHf+PGjZWenu6vrhDkzAp3Y2NjlZycbEbJAACELJvNpri4OL3z9tuEu0CIszschLuotP051fs53SjCWq39B5tAhrvcIBGA3wLeY8eOqUGDBqWuy83N9Vc3CHJmhrtjb7xRbpeLE0wAAIqwWq06cOAA4S4Q4gzDUHJy8knNuUu4ixPN/yVLBe7Ahn02i6GhHaMD2mewI9wFEGh+u4aiRYsWWrVqVanr1qxZo7Zt2/qrKwQps8PdvNxcpaSmcgADAKAIl8ulDB/hjmReuMvluID/2O12uV0uwl1USYHbI5dbAf0JdKAc9Ah3AVQDv/1Vft111+nLL7/UU089pTVr1sgwDG3btk2vv/66Fi5cqGHDhvmrKwShQIS7M2fOlKugwIzyAQAIWQXlHBvNCnfDwsOZFx/ws5TUVMJdIMQ1atSIcBdAwPltioYzzzxTDz74oKZPn66vv/5akvTyyy8rLi5O999/v7p06eKvrhBkAhXu+vpjFwAAlGRWuNskKUnJycmcXAJ+5HQ6fQ5mMCvcNQyDL2sAP7HZbIqJidHcuXMJdwEElN8CXkk677zzdN555yk1NVWZmZmKiopS06ZN/dkFggzhLgAAwcnMcHfMmDHKy8uTYRiKiIgwo3yg1vH1HjUr3LVarUpITGS6FcBPrFar0tPTqy3c5b0M1F5+DXgLJSUlKSkpyYxNI4hEREYS7gIAEITMDnfT09OVn5+v5ORkM8oHUISZ4e41116riIgIOZ1OM0oHap2CggJlZWb6bGNWuBsRGclofKAW89vXO7NmzdILL7xQ6roXXnhBs2fP9ldXCAIWi0WJiYmEuwAABJlAhLuz33hDHrfbjPIBFGF2uNuubVulpaXJzfsZ8Atfx1HJvHC3Xbt2SkxM5L0M1GJ+C3iXLVumjh07lrru1FNP1bJly/zVFYKA3W5XTk4O4S4AAEEkUOGur+M5AP8IRLg7d+5c5ZTyN7fFYgmKH6AmMTPcHT58uHJychiND9Rifpui4eDBg2rUqFGp6xo2bKgDBw74qysEAbfbrb1padUS7hqGUaXaAQCoiQh3gZojUOHu9u3by2ybddj3SESzRdezVmv/gD+ZHe5u//VXJSclKZl7IAG1lt8C3nr16um///2vOnXqVGLdf//7X0VFRfmrKwQBp9Pp80BjVrhrtdmYVwgAgBNEx8QQ7gI1RDCEu4XWrTwql6vszxMzWK2Gup9bN6B9AmYKRLj73rx5uvvuu/1cOYBQ4rfrXnr27Km3335b27ZtK7Z8+/btmjNnjnr16uWvrhDkzAp3IyMjlczN+wAAKMZqtSo+Pp5wF6gBrDZb0IS7kuRyeeR2K6A/gQ6UATMFKtwtb+5fADWf30bwjh49Wr/88otuv/12NW3aVA0aNFBGRoZ2796tVq1aacyYMf7qCkHMzHB37NixslitzCsEAEARNptNmZmZhLtAiDMMQ8lJSdq5a1dQhLsAqoZwF0Ag+S3gjYiI0EsvvaTFixdr06ZNysrKUvPmzXX55ZerT58+XFZfC5gd7oaFhyslJUUJCQlmlA8AQEhyuVzav39/tYS7zIsP+I/dbpfb7SbcBWoAwl0Agea3gFc6/kfJpZdeqksvvdSfm0UICES4O3PGDI0dO9aM8gEACFkFBQVSNYS7doeDL/ABP0tJSSHcBUJcg9hYwl0AAefXgLfQoUOHSr2MvlGjRmZ0h2oWqHDX1x+7AACgJLPC3djYWCUnJ5tRMlBrOZ1OOX2870wLdw1DNpspp4VArWOz2RQXF6d33n6bcBdAQPntSJ6VlaUpU6Zo1apVJT5sPB6PDMPQwoUL/dUdggThLgAAwcnMcHfsjTfK7XJxggn4ka9wx6xw1zAMNWrUSFartUq1AzjOarXqwIED1RbuWiyWypYOIMT5LeB97rnn9OOPP2rYsGFq2rQpl+zVAmHh4YS7AAAEIbPD3bzcXKWkpqpJkyZmlA+gCDPD3UGXXaaYmJjjU70AqDKXy6WMcs5fzQp3w8LDyWGAWsxvAe/mzZs1fvx49e3b11+bRBCzWCxKTk7W+vXrCXcBAAgigQh3Z86cqXHjxplRPoAizA53u3fvrvT0dNWrV8+E6oHap7wvS8wKd5skJSk5Odnn9gDUbH4bvx8ZGano6Gh/bQ5Bzm63Ky8vj3AXAIAgEqhw19fxHIB/BCLcnT9/vrIyM80oH8AJzAx3x4wZo7y8PJ/HcgA1m98C3quvvlqffPIJc7HVEh6PR6mpqYS7AAAECcJdoOYIVLi7ccMGM8oHcAKzw9309HSl+vicAFDz+W2Kht27d2vXrl0aOXKkTj/9dEVGRpZoM378eH91h2qWn58vj9td5nqzwl3DYpHD4ahS7QAA1DQRkZGEu0ANQbgL1CyBCHdnv/GG7rjjDhOqBxAq/BbwrlmzxnvHxp9//rnUNgS8tYNZ4a7D4VBSUpIMwzCjbAAAQpLFYlFiYqKWLVtGuAuEOMNiIdwFapBAhbtMzQDAbwHv22+/7a9NIYSZGe6OGj1aYWFhcjqdZpQOAEBIstvtysnJIdwFaoCkpCQ5HA7CXaAGINwFEEh+m4MXMDvcjY+PV0pKitw+poYAAKC2cbvd2puWVi3hLlfVAP7jcDgUFhZGuAvUAIS7AALNbyN4C+3Zs6fMm2+de+65/u4OQSIQ4e6sWbM0YvhwM8oHACBkOZ1OnyeOZoW7VptNdru9SrUD+B/DMLR7927CXSDERcfEEO4CCDi/Bbw5OTmaOHGifvzxR0nyfogVHdmxcOFCf3WHIBKocNfXH7sAAKAks8LdyMhIJSclmVEyUGs5nU7l5eaWud7McNdm8/u4H6BWslqtio+P16effkq4CyCg/DZFw4wZM3To0CE999xz8ng8mjhxop599lldfPHFaty4sV566SV/dYUgQrgLAEBwMjPcHTt2rCxWK/PiA37kaxoyM8PdBrGxslqtla4bwP/YbDZlZmZWW7jL1ElA7eW3gHf9+vUaPny4TjnlFEnHTxROP/103XnnnTr77LP1wQcf+KsrBAm7w0G4CwBAEDI73A0LD1dKSorPk1cA/mFmuNu7d2/FxcX5DJcAVJzL5dL+/furJdy1OxxMnQTUYn4LeA8fPqyGDRvKarUqPDxcWVlZ3nU9evTQunXr/NUVgoBhGEpOTibcBQAgyAQi3J05Y4acXB4KmM7scLdP3746cOCACgoK/F06UCsVFBRI1RDuxsbGKjk5uUq1Awhtfgt4GzZsqMzMTElSkyZN9N1333nXbd26VQ6Hw19dIQjY7Xa5XS7CXQAAgkigwl1fx3MA/hGIcHfJ4sXK4P0MBISZ4e7YG2+U2+Vi6iSgFvPbbPpdunTRxo0bdc455+jyyy/XM888o23btslms2n79u268sor/dUVgkRKairhLgAAQYJwF6g5AhXuLl++XD169PB3+QBOYHa4m5ebq5TUVDVp0sSM8gGEAL8FvDfeeKPy8vIkSX379lWdOnW0cuVK5eXlacKECRowYIC/ukIQcDqdcvm4lMuscNcwDOYVAgDgBGHh4YS7QA0RyHAXgPkCEe7OnDlT48aNM6N8ACHCbwFveHi4wsPDvf8+55xzdM455/hr8wgyviaNNyvctVqtSkhMlMXit5lFAAAIeRaLRcnJyVq/fj3hLhDiDMMg3AVqkECFu76O5wBqB78FvEXl5uaW+mEUHR1tRncIImaGu9dce60iIiKYVwgAgCLsdrtyc3MJd4EaICExUXXr1iXcBWoAwl0AgeS3gDcnJ0fTp0/XN998o5ycnFLbLFy40F/dIQiZHe62a9tWaWlpio2NNaN8AABCksfjUWpqKuEuEOLsdrvCwsI0bepUwl0gxBHuAgg0vwW8zz77rDZv3qxLLrlESUlJstlMGRyMIBWIcHfu3LkaPHgwAS8AAEXk5+fL43aXud6scNewWORwOKpUO4D/sVgsSktLI9wFQlxEZCThLoCA81sKu3HjRt1222266KKL/LVJhIhAhbu+/tgF8P/s/Xt8VPWh7/+/11pzCeQyQEIGJjOAFsG7AoJWq2IFtVVRqlaLp62A1tO6W21rz/E8+utu9/52d7v3Pnv3dF/aWglorRStSgVbq3jDaxW84BYvVAWcEEwISBICSdbM5PcHzZiQZILJWmsma17Px4NHazLMfBLyyVrrtdZ8FgD05VbcDYVCisfjMgzDjWEDRcm2bbXlmKNuxl3LsoYyZACHME1TsVhMTz75JHEXgKccC7yVlZUqLS116ukwQhB3AQAoTG7G3WsWL1Y4HGZdfMBBmRxX4rsZdysiEd59OQSFcOPnXD8zyI9gMKi2tra8xV1OvALFy7Et+Ze//GX99re/1fHHH6+ysjKnnhYFzAoEiLsAABQgt+NuNBpVMplUNBp1Y/gAenAz7s6cNUvRaDRniCoEhRBTpb5BNfNRfZ5GIpljY3l7bQwsk8loZ319XuKuFQgoGAwOa/wARi7HAu8555yj999/X1dffbU+9alP9bma1zAM/f3f/71TL4c8MwxDiXhc27ZvJ+4CAFBAvIi7y5cv19WLFrkxfAA9uB13Fy5cqObmZpWUlDg4ands3749r68/efLkfj9+4Ok7pbSH72awghp11le9ez18IrZtq6ura8DPuxV3y8rKlIjHhzV2ACObY4H3/vvv1z333KOxY8cqnU7rwIEDTj01ClAwGFQmkyHuAgBQQLyKu7m25wCc4UXc3bBhg44++mhNmjTJwZG756c//WnOIOaGUCikb3/72wM/IG1L6ZR3A8KI5WbcXbp0qUzLYukkoIg5FnhXrVqlBQsW6Bvf+EbBvIUG7komk8RdAAAKBHEX8A+v4u7aNWt09PTpDo7cXZ2dnQQsjEhux91wSYmSyaQmTpzoxvABjACOldhUKqXTTz+duFskbNuWnWOj5FrcNQxuAgEAwCGCoRBxF/AJL+NurreSA3CGF3G3dtmynMfnAPzPsRo7d+5cvfTSS049HQpcrp1Bt+KuYRiqrq6WZVnDGjsAAH5iGIYSiQRxF/AD4i7gK17F3VzbcwDFwbFLIY877jjdcccd2rNnj2bOnNnnJmuSdOaZZzr1cihQbsbdixcsUCQSUSrFGlcAAHQLBoNK2TZxF/CB6upqlZeXE3cBHyDuAvCSY4H3n//5nyVJjY2N/e5gGIahRx55xKmXQwFyO+7Onj1bDQ0NGjNmjAujBwBg5ErW1RF3gREuEAgoEolo5cqVxF1ghCPuAvCaY4H3rrvucuqpMAJ5EXdXr16teeeeS+AFAKAH27aVzvHuFrfirmEYCgaDwxo7gI9ZlqWGhgbiLjDChUtKiLsAPOfIGrydnZ36z//8TzU0NCgajQ74B/7kVdwdbGcXAIBilCvYuBV3LcvSxFiMm+sCDkqlUmppbs75GLfiLnMZcIZpmkokEsRdAJ5zZEseCoX0+uuvK5PJOPF0GEGIuwAAFCY34+6VV12l0tJS2bbtxtCBopROp3N+3q24W1pWxtX4gEOCwaA6OjqIuwA859ip2lmzZullIlxRMUyTuAsAQAFyO+5OnzZN9fX1nNwHPOJW3J0+fbpisRhzGXBIV1eX6urq8hJ3DdNUKBQa1vgBjFyOrcF7/vnn62c/+5n279+vOXPmaOzYsTIMo9djjjrqKKdeDgUgHo8rFAoRdwEAKCBexN2VK1fqkksuUWVlpRtfAoAe3Iy7ixYtUltbmwIBxw4LgaLW2dmprhwnTNyKu6FQSPF4vE+DAVA8HNuS/+AHP5AkrV27VmvXru31i6Wrq0uGYeiRRx5x6uWQZ91nBom7AAAUDq/ibq7tOQDnuB1339myRYl4XIlJkxweOYBDuRl3r1m8WOFwmKWTgCLmWOD9l3/5F6eeCiOAYRj64IMPiLsAABQI4i7gL17E3XtWrdJ3v/tdh0cO4FBux91oNKpkMsnN7YEi5ljgPemkk5x6KowAtm2ro719wM+7GXd5CxkAAL1ZgQBxF/ARr+LuYDd2AzB8XsTd5cuX6+pFi9wYPoARwvFStm3bNr3xxhtqbW1VeXm5jj/+eE2ZMsXpl0Ge5boRg5txd1xlpSzLGvK4AQDwG8MwlIjHtW37duIu4APEXcA/vIq7ubbnAIqDY4G3s7NT//RP/6Rnn31WXV1dCgaDsm1bhmHozDPP1P/+3/9bwWDQqZdDgXIz7s6dO1dVVVVKpVJODxsAgBErGAwqk8kQdwEfGFdZSdwFfIK4C8BLjgXe5cuX66WXXtKNN96os88+W6WlpWpra9P69ev1i1/8QsuXL9f111/v1MuhALkdd+fNn6+mpiaVlZU5PXQAAEa0ZDJJ3AVGuEAgoKqqKv3mrruIu8AIR9wF4DXTqSd66qmntGTJEn3+859XaWmpJKm0tFSf//zntXjxYj355JNOvRQKkBdx97F167Qnx8YOAIBiZNu27M7OAT/vWtw1DNbFBxxkWZaampqIu8AIFwyFiLsAPOdY4G1tbVUikej3c4lEQq2trU69FAqMV3F3sJ1dAACKUa6441bcNQxD1dXVrIsPOCidTg96MYNbcdc0HTssBIqaYRhKJBLEXQCec2xLnkgk9Nhjj/X7uccff3zA+IuRjbgLAEBhcjPuXrxggSKRCOviAw4abD65FXfDJSXcKwVwSDAYVCadJu4C8Jxj76u7+uqr9eMf/1gNDQ0688wzNWbMGO3du1fPPPOM3nzzTf3gBz9w6qVQIAzDIO4CAFCA3I67s2fPVkNDg8aMGePC6AEcyq24WxOPK5FI5Hw+AJ9Msq4uL3HXMAxO1gBFzLHAe+aZZ+qHP/yhfvOb3+i2225TV1eXDMPQpz71Kf3oRz/Spz/9aadeCgViYiym0aNHE3cBACggXsTd1atXa9655xJ4AQ+4GXeXLFmijo4OGYaRvY8KgKGzbVvpHFfjuxV3LcvSxFiM5VaAIjaswPv888/rpJNOyu4MnH766Tr99NN14MABtbW1qbS0VKNGjXJkoCgswWBQ4XBYv/j5z4m7AAAUCK/i7isvv6x5557rxpcAoAe3425DQ4M6OztZTg9wSK456mbcvfKqq1RaWirbtoc1fgAj17BO7/zd3/2dksmkJOn888/X22+/LUkaNWqUqqqqiLs+Zpqm6uvribsAABQIL+MuAPd5EXfvWLFCXZmMG8MH0IPbcXf6tGmqr69XhvkMFK1hBd7S0lI1NzdLUnZJBhQH27bVlmNdITfjLnfsBgCgN8M0ibuAj3gVdzs7O90YPoAevIi7K1euzHl8DsD/hrVEw4knnqh/+qd/0hFHHCFJ+tnPfpZz7aZ/+Zd/Gc7LoYDkOjPoZtytiEQUCDi2dDQAAL4Qj8cVCoWIu4APEHcB//Aq7ubangMoDsMqZd/97nd1//3364MPPpBhGBo1ahSL8xc5N+PuzFmzFI1Gc+64AgBQbEKhkCQRdwEfqIhEiLuATxB3AXhpWIG3vLxc11xzjSTpvPPO03XXXaejjz7aiXFhBHI77i5cuFDNzc0qKSlxcNQAAIxshmHogw8+IO4CI5xlWYpGo1q7di1xFxjhiLsAvDasNXi7dXZ2asGCBazBW8S8iLsbNmxQY2Ojg6MGAGDks21bHe3tA37ezbjLskmAcwKBgJqbm4m7wAhnBQLEXQCecyTwhkIhPfroo2rPcXAB//Iq7q5ds0bKsbMLAEAxyrUuvptxd1xlJTc+BRyUTqfV2NiYl7jLhTqAMwzDUCIeJ+4C8JwjgVeSjjnmGL311ltOPR1GCC/jbq6dXQAA0JubcXfu3LmqqqpiXXzAQalUKufFDG7F3WAopGAwOKyxAzgoGAzKtCziLgDPOfa+uq9+9au69dZbZVmW5syZo7Fjx/Z5TEVFhVMvh0JA3AUAoCC5HXfnzZ+vpqYmlZWVOT10AP1wK+5WVlYqkUi4MWSgaCWTyfzEXcNg6SSgiDk2+2+66SZJ0u23365ly5b1+5hHHnnEqZdDAaiurlZ5eTlxFwCAAuJF3H1s3TrNmTOHwAt4wM24u/Taa5VJp7kaH3CIbduyc8w7t+KuYRiqrq5m6SSgiDkWeL/73e+ydlMRCQQCikQiWrlyJXEXAIAC4VXcfeqppzRnzhynhw/gEG7H3Y72diXr6lRTU+PG8IGik+v41c24e/GCBYpEIgeXegFQlBwLvOeff75TT4URwLIsNTQ0EHcBACgQXsZdAO7zIu7W1tbqG9/4hhvDB9CD23F39uzZamho0JgxY1wYPYCRwLGbrHVrbW3Vf//3f+uJJ55Qa2urJKmzszPnHZ4x8qRSKbU0N+d8jFtx1zQd/7EFAGBEMwyDuAv4iFdxd9++fW4MH0APXsTd1atXD3p8DsDfHLuCN5PJaMWKFfr973+vjo4OGYah//zP/1R5ebl+9KMf6ZhjjtGXv/xlp14OeTbYOl1uxd3SsjLu8gsAwCEmxmIaPXo0cRfwAeIu4B9exd1XXn5Z8849140vAcAI4dilkHfeeafWrFmj66+/XitWrOgV6T796U/rhRdecOqlUODcirvTp09XLBbjanAAAHoIBoMqLS0l7gI+UFpWRtwFfMLLuAsAjgXeRx99VIsXL9ZFF12kCRMm9PpcLBbTzp07nXopFDA34+6iRYvU1tYm27YdHjUAACOXaZqqr68n7gIjnGmaisVixF3AB4i7ALzmWOBtaWnRpEmT+v1cJpPhbo5FwO24+86WLdpZX+/wqAEAGNls21ZbjmDjZty1LGsoQwbQj2AwqLa2NuIuMMIZpkncBeA5xwJvPB7XK6+80u/nNm3apClTpjj1UihAXsTde1atyvlYAACKUa6li9yMuxWRiAIBx27nABS9TCajnfX1eYm7hmEMa+wAPhaPx4m7ADzn2F75F77wBf30pz9VIBDQmWeeKUnatWuX3nzzTf3+97/X9773PadeCgXGq7g72I3dAADAx9yMuzNnzVI0GmXbDDjItu2c+8ZuxV0rEOAmxoBDQqGQJBF3AXjOscB7/vnna9++ffr1r3+t3/72t5KkH/3oRyopKdE111yjs88+26mXQgEh7gIAUHjcjrsLFy5Uc3OzSkpKHBw1gIG4FXfLysqUiMfdGDJQlAzD0AcffJC3uMs7a4DiNezZv337dj300EP68MMPVVlZqVtuuUXBYFAtLS0qLy/Xscceq9LSUifGigIzrrKSuAsAQIHxIu5u2LBBRx999ID3XwDgHDfj7tKlS2VaFjcxBhxi27Y62tsH/LybcXdcZSVr4wNFbFiB94033tD/+l//S+l0WpFIRC0tLXr44Yf1N3/zN7r44oudGiMKUCAQUFVVlX5z113EXQAACoRXcXftmjU6evp0B0cOoD9ux91wSYmSyaQmTpzoxvCBopNrXXw34+7cuXNVVVXFze2BIjasm6zdeeedSiQSuuuuu3Tvvffq/vvv1+mnn6477rjDoeGhUFmWpaamJuIuAAAFwsu4y01PAfd5EXdrly2TneN5ATjD7bg7b/58NTU1EXiBIjaswLtt2zb9j//xP1RdXS1JKi0t1fXXX6/W1lY1NjY6MkAUpnQ6rT27d+d8jFtx1zSH9WMLAID/EHcBX/Eq7u4eZH8ewPB5EXcfW7du0ONzAP42rFLW3Nys8ePH9/pY93+3tLQM56lR4AY7M+hW3A2XlHCXXwAADlFdXU3cBXyCuAv4h1dxd7DtOQD/G/alkIZhODEO+IhbcbcmHlcikeDgEgCAHgKBgCKRCHEX8IFwSQlxF/AJ4i4ALw3rJmuSdPPNN/f7lvlvf/vbfT7+4IMPDvflUODcjLtLlixRR0eHDMNQaWmpG8MHAGDEsSxLDQ0NxF1ghDNNU4lEQhs3biTuAiMccReA14YVeL/85S87NQ74gNtxt6GhQZ2dnUokEm4MHwCAESmVSqmluTnnY9yKu6yLDzgnGAyqvb2duAvfKIRtRCaT8fw1DcMg7gLwHIEXjvAi7t6xYoVuuukmF0YPAMDIlWs7KrkXd0vLylgXH3BQV1eX6urqiLvwleT+/P3cJUZX5uV1J8ZiGj16NHEXgKeGvUQD4FXczbWzCwAA+nIr7k6fPl2xWCwvV0YBftXZ2amuHHPKrbhrmKZCodCwxg7k8sstj8jO5D4Z6aSgael/Tjvfs9fr9drBoMLhsH7x858TdwF4isCLYSHuAgBQmNyMu4sWLVJbW5sCAXYlAS+4FXdDoZDi8Tg3zoar7Exadpd3gVd5PPdomqbq6+vzFnctyxrKsAH4QP4XxcGIVRGJEHcBAChAbsfdd7Zs0c76eodHDaA/bsbdaxYvVjgclm3bbgwdKDq2bastxxx1M+5WRCKceAWKGIEXQ2JZlqLRKHEXAIAC40XcvWfVqpyPBeAMt+NuNBpVMplkuRXAIbnmkptxd+asWYpGo4Ouyw/Avwi8GJJAIKDm5mbiLgAABcSruMsBJOA+L+Lu8uXL1dHe7sbwAfTgdtxduHChmpublUqlHBw1gJGEwIshSafTamxszEvcZY0wAAD6Iu4C/uFV3N1RV+fG8AH04EXc3bBhgxobGx0cNYCRhsCLIUmlUlIe4m4wFFIwGBzW2AEA8JtxlZXEXcAniLuAf3gVd9euWZPz+ByA/xF44Ti34m5lZaUSiYQbQwYAYMQKBAKqqqoi7gI+EAyFiLuAT3gZd1kXHwCBF45yM+4uvfZaZdJp7vILAEAPlmWpqamJuAuMcIZhKJFIEHcBHyDuAvAagReOcTvudrS3K1lXxwYMAIAe0um09uSIO5J7cdc02ZUEnBIMBpVJp4m7wEhH3AWQB+yVwxFexN3a2lqluSsoAAC9DHbHbLfibrikhHXxAYcl6+qIu8AIV11dTdwF4DkCL4bNq7iba2cXAAD05VbcrYnHlUgkOLgEHGTbds6LGdyKu4ZhcLIGcEggEFAkEiHuAvAcgRfDQtwFAKAwuRl3lyxZoo6OjpzbcgCfTK456lbctSxLE2MxllsBHGJZlhoaGvIWd5nLQPFi9mPISsvKiLsAABQgt+NuQ0OD6ni7N+AJN+PulVddpdLSUm5iDDgklUqppbk552PcirulZWVcjQ8UsUC+B+C1p556Sn/60590xhln6OKLL5Z08Gz5unXrtGHDBh04cEBTpkzRpZdeqqqqqjyPtnCZpqlYLKYnn3ySuAsAQAHxIu7esWKFbrrpJhdGD6Ant+Pu9GnTVF9fr8rKSjeGDxSdXNtRyb24O336dMViMWUymaEMG4APFNUVvMlkUi+++KImTJjQ6+Pr16/X888/r0svvVQ33HCDgsGgli9fzpnsHILBoNra2oi7AAAUEK/iLkszAO7zIu6uXLlSbexzA55wM+4uWrRIbW1tNAygiBVN4O3o6NA999yjL3zhCxo1alT2411dXXruuef02c9+Vscdd5wmTpyoK6+8Ui0tLXrzzTfzOOLClslktLO+Pi9x1zCMYY0dAAA/Iu4C/uFV3H3nnXfcGD6AQ7gdd9/ZskU76+sdHjWAkaRoAu+DDz6o6dOn66ijjur18T179qi1tVVTp07NfqykpESJRELbt2/3epgjhm3bOTc0bsVdKxBgXSEAAA5REYkQdwGfIO4C/uJF3L1n1aqcjwXgf0WxBu+mTZu0Y8cO/c3f/E2fz3XHxLKysl4fLysryxkaW1pa1NraKkm91rkphl+qg32NbsXdsrIyJeLx7Bj6jiN/3/tC/HcvtDH1GU9X11//eD2Qv752f2PKs0IbD4DC19XVJcuyFI1GtXbt2rzE3ULbJkuF9/u00MYjHTImtsl9eD2e7tezAoG8xV3m8uAKfjzM5T68HE9/r+VV3O25PS+0uVxoPxNS4Y2pIOZyAc9jqTDHVGh8H3j37t2rtWvXaunSpY5e+fniiy/q8ccfl3QwUl522WVKpVJFsXxAKBQ6uNFQ30kWj8e1ZPFiNXz4oVYcZtxtb29X7bJlg8bdJUuXyrQsdXZ2atSoUdn1hUzTlLq6N2SOfImHpatL2dftudaRaZp//Xx/G1a3x/TxL+SBxuT9N2mw75F3w+kxpIL5d+tS/98jADgcoVBIgUBAzc3NWvPgg4MeDH7prweDq37725xx93C25937AT1/f+VrmywV3na54LbJB1+0z5jYJvcYTx63yaFQSNLBubd9+3Ytu/32wePuNdcoWl2t5bW1qjuMuDtt2jTdfffdfeLuSJjL7F/3GtCg42Eu52cuH3qcPPecczRv3jytW7dOTz35ZM6/O6s77r70ktYcRtztb3teSHO50LbJ3a/Z/b/9/W4phG3yoWPKw6+Wwvo3K8Jj5UBg6JnW94F3x44d2rdvn/7jP/4j+7FMJqNt27bphRde0He/+11JB6/kraioyD5m3759mjhx4oDPe+qpp+rYY4/NPp9t2woUyfIBhmEc/KPe6+H2utLnjjtk2/aAwbvnlbvLa2vV1tY24GN7vk0tmUxq4sSJMgwj+702DEMyusfl+Jc7IMNQ9nV7/rt3fx3d3ycv9XztQ8fU1f15z79Jg32PvBtOjyHlHpO8G9RA/2YAcDgMw1A6nVZjY2P2v/tz6JU+mUxmwMce7vbc0MGd/kLYJh98bRXUdrngtskHX7zPmNgm9xxP/rbJhmEoFAopk8modtky7dmzZ8Cf1z5X7u7YMeBjD71yd8uWLX0e271PX8hzmf3rXgMacDzd/8tczs9c7nmcfM4552Sv3F3/1FM5f257Xbm7dm32ufqTa3teSHO50LbJh752z+9PIW2TDx1nHn61FMw8PvS1OVYenO8D79SpU3XTTTf1+th9992n8ePH6+yzz9a4ceNUXl6ud999V7FYTJLU3t6uZDKp0047bcDnraioyAbhjo4O7dixQ1Jx3ACsv6/RzWUZer5NbenSpdkx9B1H/r73hfjvXmhj6jOe7o2o18M01GtjWkgKbTwACp9hGEqlUjmvOnFrzd1gKKRgMFhw22Sp8H6fFtp4pEPGxDa5j3yFh2Qymbc1d5nLgyv48TCX+8jHib1xlZWeL8tw6DgKaS4X2s+EVHhjKoi5XMDzWCrMMRUa3wfecDisCRMm9PpYMBjU6NGjsx8/44wz9MQTT6iqqkrjxo3To48+qoqKiuwVusjNq7iba2cXAAD05VbcraysVCKRcGPIQNGybVt2jnnnWtw1jGG9JRTAxwKBgKqqqvSbu+7KS9wFULzYkks6++yz1dnZqQceeEDt7e2aMmWKFi9ezCXgh4G4CwBAYXIz7i699lpl0mkOMAEH5Yo7bsVdwzBUXV0ty7KGNXYAB1mWpaamprzF3e71UgEUn6IMvNdff32v/zYMQ+edd57OO++8PI1oZAqXlBB3AQAoQG7H3Y72diXr6lRTU+PG8AH04GbcvXjBAkUikYNLvQAYtnQ6rT2DHL+6FXfDJSVcpAYUMU7vYEhM01QikSDuAgBQYLyIu7W1tUoThADXuR13Z8+erYaGBq7GBxwy2MkSt+JuTTyuRCKR8/kA+BuBF0MSDAbV0dFB3AUAoIB4FXdzbc8BOMOLuLt69Wq1NDe7MXwAh3Az7i5ZskQdHR05t+UA/I3AiyHp6upSXV0dcRcAgAJB3AX8w6u4+8rLL7sxfACHcDvuNjQ0qC7H7wkA/kfgxZB0dnaqK5MZ8PNuxV3DNBUKhYY1dgAA/Ka0rIy4C/gEcRfwFy/i7h0rVuQ8PgfgfwReOM6tuBsKhRSPx2UYhhvDBgBgRDJNU7FYjLgL+IBhmsRdwEe8irsszQAgkO8BwF/cjLvXLF6scDgs27bdGDoAACNSMBhUW1sbcRfwgXg8rlAoRNwFfIC4C8BLXMELx7gdd6PRqJLJpDK89QQAgKxMJqOd9fV5ibu8qwZwTigUUjgcJu4CPkDcBeA1Ai8c4UXcXb58uTra290YPgAAI5Zt2zkPHN2Ku1YgoGAwOKyxA/iYYRhKJpPEXWCEq4hEiLsAPEfgxbB5FXdz7ewCAIC+3Iq7ZWVlSsTjbgwZKFq2bee8mMHNuBsIsHIf4ATLshSNRom7ADxH4MWwEHcBAChMbsbdpUuXyrQs1sUHHJRrGTI34+64ykpZljXkcQP4WCAQUHNzc97iLksnAcWLwIshC4ZCxF0AAAqQ23E3XFKiZDKZ8+AVgDPcjLtz585VVVVVzrgE4PCl02k1NjbmJe4GQyGWTgKKGIEXQ2IYhhKJBHEXAIAC40XcrV22TDZvDwVc53bcnTd/vpqampRKpZweOlCUUqmUlIe4W1lZqUQiMayxAxjZCLwYkmAwqEw6TdwFAKCAeBV3c23PATjDi7j72Lp12sN8BjzhZtxdeu21yqTTLJ0EFDECL4YsWVdH3AUAoEAQdwH/8CruPvXUUw6PHEB/3I67He3tStbVsXQSUMQIvBgS27aVzvFWLrfirmEYrCsEAMAhwiUlxF3AJ4i7gL94EXdra2tzHp8D8D8CL4Yk15lBt+KuZVmaGIvJNPmxBQCgm2maSiQSxF3ABwzDIO4CPuJV3M21PQdQHAL5HgD8xc24e+VVV6m0tJR1hQAA6CEYDKq9vZ24C/jAxFhMo0ePJu4CPkDcBeAlLoWEY9yOu9OnTVN9fb0ymYwbwwcAYETq6upSXV0dcRcY4YLBoEpLS4m7gA8QdwF4jcALR3gRd1euXKk2NmAAAPTS2dmprhwnP92Ku4ZpKhQKDWvsAD5mmqbq6+uJu8AIV1pWRtwF4DkCL4bNq7iba2cXAAD05VbcDYVCisfjMgzDjWEDRcm27ZwXM7gZdy3LGsqQARzCNE3FYjHiLgDPEXgxLMRdAAAKk5tx95rFixUOh1kXH3BQrmXI3Iy7FZGIAgFuzQI4IRgMqq2tLW9xlxOvQPEi8GLIrECAuAsAQAFyO+5Go1Elk0nWxQc84GbcnTlrlqLRaM4QBeDwZTIZ7ayvz0vctQIBBYPBYY0fwMhF4MWQGIahRDxO3AUAoMB4EXeXL1+ujvZ2N4YPoAe34+7ChQvV3NysVCrl4KiB4mXbtrq6ugb8vFtxt6ysTIl4fFhjBzCyEXgxJMFgUKZlEXcBACggXsXdXNtzAM7wIu5u2LBBjY2NDo4awEDcjLtLly6VaVksnQQUMQIvhiyZTBJ3AQAoEMRdwD+8irtr16yRclxtCMAZbsfdcEmJkslkzquHAfgbgRdDYtu27BwbJdfirmFwEwgAAA4RDIWIu4BPeBl3iUGA+7yIu7XLluU8PgfgfwReDEmunUG34q5hGKqurpZlWcMaOwAAfmIYhhKJBHEX8APiLuArXsXdXNtzAMWBSyHhKDfj7sULFigSiXATCAAAeggGg0rZNnEX8IHq6mqVl5cTdwEfIO4C8BJX8MIxbsfd2bNnq6GhQel02o3hAwAwYiXr6oi7wAgXCAQUiUSIu4APEHcBeI3AC0d4EXdXr16tluZmN4YPAMCIZdu20jne3eJW3DUMQ8FgcFhjB/Axy7LU0NBA3AVGuHBJCXEXgOcIvBg2r+LuYDu7AAAUo1zBxq24a1mWJsZiMk12JQGnpFKpQS9mcCvuMpcBZ5imqUQiQdwF4Dm25BgW4i4AAIXJzbh75VVXqbS0VLZtuzF0oCgNtgyZW3G3tKyMq/EBhwSDQXV0dBB3AXiOwIshM0yTuAsAQAFyO+5OnzZN9fX1ymQybgwfwCHcirvTp09XLBZjLgMO6erqUl1dXV7irmGaCoVCwxo/gJGLwIshi8fjxF0AAAqMF3F35cqVastxQArAOW7G3UWLFqmtrY2r8QGHdHZ2qivHCRO34m4oFFI8HpdhGMMaP4CRi8CLIQmFQgqHw8RdAAAKiFdxN9f2HIBz3I6772zZop319Q6PGkB/3Iy71yxerHA4zMkaoIgReDEkhmEomUwSdwEAKBDEXcBfvIi796xalfOxAJzhdtyNRqNKJpMstwIUMQIvhsS2bXW0tw/4eTfjbiAQGPK4AQDwIysQIO4CPuJV3B3sxm4Ahs+LuLt8+fKcx+cA/I/AiyHJdWbQzbg7rrJSlmUNedwAAPiNYRhKxOPEXcAniLuAf3gVd3NtzwEUBwIvHOVm3J07d66qqqrYGQUAoIdgMCjTsoi7gA+Mq6wk7gI+QdwF4CUCLxzjdtydN3++mpqalEqlnB46AAAjWjKZJO4CI1wgEFBVVRVxF/AB4i4ArxF44Qgv4u5j69ZpT46NHQAAxci2bdmdnQN+3rW4axisiw84yLIsNTU1EXeBES4YChF3AXiOwIth8yruDrazCwBAMcoVd9yKu4ZhqLq6mnXxAQel0+lBL2ZwK+6aJoeFgBMMw1AikSDuAvAcW3IMC3EXAIDC5GbcvXjBAkUiEZZNAhw02HxyK+6GS0oUDAaHPG4AHwsGg8qk08RdAJ4j8GLIDMMg7gIAUIDcjruzZ89WQ0MDb/cGPOJW3K2Jx5VIJHI+H4BPJllXl5e4axgGJ2uAIkbgxZBNjMWIuwAAFBgv4u7q1avV0tzsxvABHMLNuLtkyRJ1dHSoM8c63gAOn23bSue4Gt+tuGtZlibGYiy3AhQxZj+GJBgMqrS0lLgLwLdM0yyIP8An4VXcHWx7DsAZbsfdhoYG1fF2b8Axueaom3H3yquuUmlpqWzbHtb4AYxc3PoYQ2Kapurr64m7AHxt+/bteX39yZMn5/X1MbIQdwF/8SLu3rFihW666SYXRg+gJ7fj7vRp01RfX6/Kyko3hg9gBCDwYkhs21ZbjnWF3Iy73LEbgJd++tOfev7W1VAopG9/+9ueviZGNsM0ibuAj3gVd1maAXCfF3F35cqVuuSSSwi8QBEj8GJIMpnMgJ9zM+5WRCIKBPixBeCdzs5O3u6GghePxxUKhYi7gA8QdwH/8Cru5tqeAygOlDI4ys24O3PWLEWjUe7YDQBAD6FQSJKIu4APVEQixF3AJ4i7ALxE4IVj3I67CxcuVHNzs0pKShwcNVC8fnPXXXr6mWe0fds2tbS0qLKyUrNmzdJ1X/ua4vG4JOntt97S7bffrs2bN6u5uVnl5eU6+uijtXjJEs2YMWPQ13jqySd1991365133lE6nVZ1dbUuueQSXbN4sdtfHlA0DMPQBx98QNwFRjjLshSNRrV27VriLjDCEXcBeI3bc8MRXsTdDRs2qLGx0cFRA8Xtnnvu0auvvKLy8nJVV1frww8/1B/+8ActXbJE+/btU2trq77+9a9r/fr12r9/v4488kjt379fzz//vG74xjf00Ucf5Xz+39x1l26++Wa9+uqrGjVqlKZMmaKOjg69tGGDR18hUBxs21ZHe/uAn3cz7rJsEuCcQCCg5uZm4i4wwlmBAHEXgOfYK8eweRV3165Zo6OnT3dw5EBxu3ThQl34+c9rwsSJkqR//dd/1W9XrtTu3bu14aWXNHbsWLW2tkqS/n8/+IHOO+88rVmzRn//d3+nzs5O7d69W2PHju33uT/88EP9x3/8hyTp5u99T1deeaUMw5AktbW1efDVAcUj17r4bsbdcZWV3PgUcFA6nVZjY2Ne4m73NhrA8BiGoUQ8rm3btxN3AXiKwIth8TLu5trZBfDJLV26tNd/z5gxQ79duVKSFAyFdOSnPqWKigq1tLTox//f/6df33mntm3bpnA4rEVXX62pU6cO+NxPPvGE0um0Ro0apTf++791+69+pUAgoDmnnqobb7xRpaWlrn5tANyNu3PnzlVVVZVSqZTTwwaKViqVkvIQd4OhkILB4LDGDuCgYDCoTCZD3AXgOZZowNARdwHfSKfTWv3AA5KkmpoazZkzRxUVFbp92TLV1NRo//79evvtt9Xe3q5x48Zp+rRpOZ9v+/btkqQDBw7oscceU2VVlZqbm/XwH/+oG7/1LaVs2/WvCShmbsfdefPnq6mpicALeMStuFtZWalEIuHGkIGilUwm8xN3DYOlk4AiRuDFkFVXVxN3AR84cOCAbr75Zr3wwguqrKzUT//f/1MoFNKBAwf0dz/6kXbs2KGbbrpJzzz7rG769re1c+dO/Z//83/09ttvD/icPQ88//aHP9S9996rH/zt30qS3nnnHb22aZPrXxdQrLyIu4+tW6c9OQ5eATjHzbi79NprlUmnZXPiFXCEbduyc8w7t+KuYRiqrq5m6SSgiBF4MSSBQECRSIS4C4xwTU1N+tp11+mZp5/WpMmTVbt8uY488khJ0p8eflhvvvmmJGnBJZdo1KhRWrBggSSpq6tLG156acDnHV9dnf3/xx57rCTpuOOOy35sZ329418LAO/i7mDbcwDOcDvudrS3K1lXxz434JBcc8nNuHvxggWKRCK8swYoYgReDIllWWpoaCDuAiPYe++9p8XXXKO33npLM2bM0IoVKxSPx7Of37dvX/b/d4fe7v+VpFGjRkk6uN7uZV/4gi77whfU2NgoSZozZ072cW/99e+81ePvJiZNcuErAoobcRfwFy/ibm1trdIEIcB1bsfd2bNnq6GhIefvCQD+xgItGJJUKqWW5uacj3Er7pom5yUAJ3zve9/Tzp07JUlt+/frxm99K/u5Sy+9VGeeeaZ+/vOfy7ZtffummzR58mR98MEHkqSysjLNnTtX0sEQ3L3mbvdVAyeffLLOPvtsrV+/Xn/3d3+nO+64I/uYOXPm6OSTT/boqwSKg2EYxF3AR7yKuz1P5gJwhxdxd/Xq1Zp37rkaM2aMC18BgJGAwIshGezMoFtxt7SsjLv8Ag7puT7YlkN2Hj99+umacsQR+tXtt+uOFSv05ptvavv27Ro3bpxOPOkkXXfddaoaPz7n8//kH/9Rv7rtNv3pT39SMplUrKZG582fr2sWL3bl6wGK2cRYTKNHjybuAj5A3AX8w6u4+8rLL2veuee68SUAGCEIvHCcW3F3+vTpisViymQyDo8YKE5rH3po0MeccMIJ+td/+7ecj7l4wQJd/Ne1eXsKh8P65re+pW/2uDIYgPOCwaDC4bB+8fOfE3eBEa60rIy4C/iEl3EXAHivOxzlZtxdtGiR2trauMsvAAA9mKap+vp64i4wwpmmqVgsRtwFfIC4C8BrBF44xu24+86WLdpZX+/wqAEAGNls21ZbjmDjZty1LGsoQwbQj2AwqLa2NuIuMMIZpkncBeA5Ai8c4UXcvWfVqpyPBQCgGOVausjNuFsRiSgQYLUvwCmZTEY76+vzEncNwxjW2AF8LB6PE3cBeI69cgybV3F3sBu7AQCAj7kZd2fOmqVoNMq2GXCQbds5943dirtWIMBNjAGHhEIhSSLuAvAcV/BiWIi7AAAUHrfj7sKFC9Xc3KxUKuXgqAEMxK24W1ZWpkQ87saQgaJkGIaSyWTe4i7vrAGKF4EXQzauspK4CwBAgfEi7m7YsEGNjY0OjhrAQNyMu0uXLpVpWdzEGHCIbdvqaG8f8PNuxt1xlZWsjQ8UMQIvhiQQCKiqqoq4CwBAAfEq7q5ds0ZiXXzAdW7H3XBJiZLJJPe5ABySa118N+Pu3LlzVVVVxfEzUMQIvBgSy7LU1NRE3AUAoEB4GXeJQYD7vIi7tcuWyc7xvACc4XbcnTd/vpqamlg6CShiBF4MSTqd1p7du3M+xq24a5r82AIA0AtxF/AVr+Lu7kH25wEMnxdx97F16wY9Pgfgb6zAjSEZ7MygW3E3XFLCXX4BnyqEkze53lYHFLLq6mqVl5cTdwEfIO4C/uFV3H3qqac0Z84cp4cPYAQh8MJxbsXdmnhciUSCg0vAx1r25m9ploox3JQCI1MgEFAkEtHKlSuJu8AIFy4pIe4CPuFl3AUAAi8c5WbcXbJkiTo6OmQYhkpLS90YPlA0DMOQYRj5Hoa6urr6/J7Y8Mx+pdPehSTLMjT7zNGevR7gNMuy1NDQQNwFRjjTNJVIJLRx40biLjDCEXcBeI3AC8e4HXcbGhrU2dmpRCLhxvCBomIYhtrb23XgwIEBP9+9HIpt24PGnVAoJMMwZNv2oMscBINBmaYp0zRVUlLS57nT6S55u1IC4QojWyqVUktzc87HuBV3C2FpFcAvgsGg2tvbibvACGcYBnEXgOcIvHCEF3H3jhUrdNNNN7kweqA4HThwQB/t2aPW1tZeH7cCASXicWUyGSWTyZx31zZMU/F4XJL0wQcfqKO9feDHGoYmxmIKh8Pau3evRo0apZKSEme+GKCI5dqOSu7F3dKyMtbFBxzU1dWluro64i4wwk2MxTR69GjiLgBPEXgxbF7F3Vw7uwCGprW1Vf/8z/+c/e/ug8Ft27cPejAYCoV0zeLFCoVCWr58uXbU1Q342O63qY0ePVq/+PnPdckll2jS5MmOfi0A+nIr7k6fPl2xWIwbEwIO6uzsVFeOOeVW3DVMU6FQaFhjB3BQMBhUOBzWL37+c+IuAE8ReDEsxF3APz7JwWB33I1Go4cddw/nbWoAnONm3F20aJHa2toUCLArCXjBrbgbCoUUj8cLYl1+wA9M01R9fX3e4q5lcdNgoFixcBqGrCISIe4CPkHcBfzF7bj7zpYt2llf7/CoAfTHzbh7zeLFCofDsm3bjaEDRce2bbXlmKNuxt2KSIQTr0ARI/BiSCzLUjQaJe4CPkDcBfzFi7h7z6pVg958EcDwuR13o9Gokskky60ADsk1l9yMuzNnzVI0Gh10XX4A/kXgxZAEAgE1NzcTd4ERzgoEiLuAj3gVdzmABNznRdxdvnx5zhukAnCG23F34cKFam5uViqVcnDUAEYSAi+GJJ1Oq7GxMS9xlzXCAGcYhqFEPE7cHSFM0yyIPyhcxF3AP7yKu7m25wCc4UXc3bBhgxobGx0cNYCRhgVaMCSpVErKQ9wNhkIKBoPDGjuAg4LBoDKZDHF3BMl8lN81T82xsby+PgY2rrKSuAv4BHEX8A+v4u7aNWt09PTpDo4cwEhD4IXj3Iq7lZWVSiQSbgwZKFrJZDI/cdcwuAnEEB14+k4p7fHNcKygRp31VW9fE4ctEAioqqpKv7nrLuIuMMIFQyHiLuATXsZd1sUHwNE1HOVm3F167bXKpNMcYAIOsW1bdo5551bcNQxD1dXVsixrWOMvWmlbSrO+Gj5mWZaampqIu8AIZxiGEomE3nrzTeIuMMIRdwF4jcALx7gddzva25Wsq1NNTY0bwweKTq6dQTfj7sULFigSiXATCDiuUNYI9vpu9Ol0WntyxB3JvbhbKN9zwA+CwaBStk3cBUY64i6APCDwwhFexN3a2lp94xvfcGP4AHpwO+7Onj1bDQ0NGjNmjAujR7FL7s8dOt2WGF3p+WsOdrLErbgbLilhXXzAYcm6OuIuMMJVV1ervLycuAvAUwReDJtXcTfXzi4AZ3gRd1evXq15555L4IVrfrnlEdkZb5cUCJqW/ue08z19zcPhVtyticeVSCQ4uAQcZNu20jlO2LgVdw3D4GQN4JBAIKBIJKKVK1cSdwF4isCLYSHuAv7hVdx95eWXNe/cc934EgBJkp1Jy+7yeM1Yb1dlOCxuxt0lS5aoo6NDhmGotLTUjeEDRSfXHHUr7lqWpYmxGMutAA6xLEsNDQ15i7vMZaB4MfsxZKVlZcRdwCe8jLsA3Od23G1oaFAdb/cGPOFm3L3yqqtUWloq27bdGDpQdFKplFqam3M+xq24W1pWxtX4QBEj8GJITNNULBYj7gI+QNwF/MWLuHvHihXq8vhmckAxcjvuTp82TfX19Z7fHBLwq1zbUcm9uDt9+nTFYjHmMlDECLwYkmAwqLa2NuIuMMIZpkncBXzEq7iba3sOwBlexN2VK1eqjX1uwBNuxt1Fixapra2Nq/GBIkbgxZBkMhntrK/PS9w1DGNYYwfwsXg8TtwFfIK4C/iHV3E31/YcgHPcjrvvbNminfX1Do8awEhC4MWQ2Ladc0PjVty1AgHWFQIcEgqFFA6HibuAD1REIsRdwCeIu4C/eBF371m1KudjAfgfgReOcyvulpWVKRGPuzFkoCgZhqFkMpm3uBsIBIY8dgAfsyxL0WiUuAv4gBUIEHcBH/Eq7g629i8A/yPwwlFuxt2lS5fKtCzWFQIcYtu2OtrbB/y8m3F3XGWlLMsa8tgBfCwQCKi5uZm4C4xwhmEoEY8TdwGfIO4C8BKBF45xO+6GS0qUTCZ56wngkFx32XUz7s6dO1dVVVXsjAIOSafTamxszEvcZV18wDnBYFCmZRF3AR8g7gLwGoEXjvAi7tYuWyabK4gA17kdd+fNn6+mpialUimnhw6PmaaZ9z/QwbmUh7gbDIVYFx9wWDKZJO4CI9y4ykriLgDPsQAihs2ruJtrZxeAM7yIu4+tW6c5c+aorKzM6eEjDxrb8ndwUV3KMh+DcSvuVlZWKpFIuDFkoGjZtp3zYgbX4q5hsC4+4JBAIKCqqir95q67iLsAPMWWHMNC3AX8w6u4+9RTT2nOnDlODx95tHpzi1IZ75bPCZiGFh5X4dnrjVRuxt2l116rTDrNASbgoFxxx624axiGqqurWRcfcIhlWWpqaspb3OXdTUDxIvBiyMIlJcRdwCe8jLvwn1SmS+mBl3R2AWuxD8btuNvR3q5kXZ1qamrcGD6AHtyMuxcvWKBIJMKySYBD0um09gxy/OpW3A2XlLB0ElDEOL2DITFNU4lEgrgL+ABxF/AXL+JubW2t0gQhwHVux93Zs2eroaGBq/EBhwx2ssStuFsTjyuRSHBDcqCIEXgxJMFgUB0dHcRdYIQzDIO4C/iIV3E31/YcgDO8iLurV69WS3OzG8MHcAg34+6SJUvU0dGRc1sOwN8IvBiSrq4u1dXVEXeBEW5iLEbcBXyCuAv4h1dxd7DtOQBnuB13GxoaVJfj9wQA/yPwYkg6OzvVlRl4wUW34q5hmgqFQsMaO4CDgsGgSktLibuAD5SWlRF3AZ8g7gL+4kXcvWPFipzH5wD8j8ALx7kVd0OhkOLxuAzDcGPYQNExTVP19fV5i7vcsRtwhmmaisVixF3ABwzTJO4CPuJV3GVpBgCBfA8A/uJm3L1m8WKFw2HZtu3G0IGiY9u22nLMUTfjbkUkokCATRDghGAwqLa2NuIu4APxeFyhUIi4C/gAcReAl7iCF45xO+5Go1Elk0lleOsJ4Ihcc8nNuDtz1ixFo1Hu2A04JJPJaGd9fV7iLu+qAZwTCoUUDoeJu4APEHcBeI3AC0d4EXeXL1+ujvZ2N4YPoAe34+7ChQvV3NysVCrl4KiB4mXbds4DR7firhUIKBgMDmvsAD5mGIaSySRxFxjhKiIR4i4AzxF4MWxexd1cO7sAnOFF3N2wYYMaGxsdHDWAgbgVd8vKypSIx90YMlC0bNvOeTGDm3GXZZMAZ1iWpWg0StwF4DkCL4aFuAv4h1dxd+2aNVKOnV0AznAz7i5dulSmZbEuPuCgXEsnuRl3x1VWcuNTwCGBQEDNzc15i7ssnQQULwIvhiwYChF3AZ/wMu7m2tkF4Ay34264pETJZJL5DHjAzbg7d+5cVVVVsS4+4JB0Oq3Gxsa8xN1gKMTSSUARI/BiSAzDUCKRIO4CPkDcBfzFi7hbu2yZbN4eCrjO7bg7b/58NTU1sS4+4JBUKpXznWpuxd3KykolEolhjR3AyEbgxZAEg0Fl0mniLjDSEXcBX/Eq7ubangNwhhdx97F167SH+Qx4ws24u/Taa5VJp1k6CShiBF4MWbKujrgLjHDV1dXEXcAniLuAf3gVdwfbngNwhttxt6O9Xcm6Ova5gSJG4MWQ2LatdI63crkVdw3DYF0hwCGBQECRSIS4C/hAuKSEuAv4BHEX8Bcv4m5tbW3O43MA/kfgxZDkCjZuxV3LsjQxFpNp8mMLOMGyLDU0NOQt7jKXAWeYpqlEIkHcBXzAMAziLuAjXsXdXNtzAMUhkO8BwF/cjLtXXnWVSktLWVcIcEgqlVJLc3POx7gVd0vLyrgaH3BIMBhUe3s7cRfwgYmxmEaPHk3cBXyAuAvAS1w+Bce4HXenT5um+vp6ZTIZN4YPFJ1cO5mSe3F3+vTpisVizGXAIV1dXaqrqyPuAiNcMBhUaWkpcRfwAeIuAK8ReOEIL+LuypUr1cYGDPCEm3F30aJFamtr42p8wCGdnZ3qynHCxK24a5imQqHQsMYO4GOmaaq+vp64C4xwpWVlxF0AniPwYti8iru5dnYBOMftuPvOli3aWV/v8KgB9MetuBsKhRSPx2UYhhvDBoqSbds5L2ZwM+5aljWUIQM4hGmaisVixF0AniPwYliIu4C/eBF371m1KudjATjDzbh7zeLFCofDXIkPOCjX0kVuxt2KSESBALdmAZwQDAbV1taWt7jLiVegeBF4MWRWIEDcBXzEq7g72Nq/AIbP7bgbjUaVTCZZSxvwgJtxd+asWYpGo2ybAYdkMhntrK/PS9y1AgFuYgwUMQIvhsQwDCXiceIu4BPEXcA/vIi7y5cvV0d7uxvDB9CD23F34cKFam5uViqVcnDUQPGybTvnvrFbcbesrEyJeHxYYwcwshF4MSTBYFCmZRF3AR8g7gL+4VXczbU9B+AML+Luhg0b1NjY6OCoAQzEzbi7dOlSmZbF0klAESPwYsiSySRxFxjhxlVWEncBnyDuAv7hVdxdu2aNxLr4gOvcjrvhkhIlk0nucwEUMQIvhsS2bdk5NkquxV3D4CYQgEMCgYCqqqqIu4APBEMh4i7gE17GXWIQ4D4v4m7tsmU5j88B+B+BF0OSa2fQrbhrGIaqq6tlWdawxg7gIMuy1NTUlLe4a5psggAnGIahRCJB3AX8gLgL+IpXcTfX9hxAceBSSDjKzbh78YIFikQi3AQCcEg6ndaeQXYG3Yq74ZIS7vILOCQYDCpl28RdwAeqq6tVXl5O3AV8gLgLwEtcPgXHuB13Z8+erYaGBt7uDThksJMlbsXdmnhciUSCg0vAQcm6OuIuMMIFAgFFIhHiLuADxF0AXiuKK3iffPJJbd68WY2NjQoGg5o8ebI+97nPafz48dnHdHV1ad26ddqwYYMOHDigKVOm6NJLL1VVVVUeRz5yeBF3V69erXnnnqsxY8a48BUA6MnNuLtkyRJ1dHTIMAyVlpa6MXygqNi2rXSOEzZuxV3DMLgSH3CQZVlqaGgg7gIjXLikhLgLwHNFcQXv1q1bddppp+mGG27Q0qVLlU6nVVtb2+sX7fr16/X888/r0ksv1Q033KBgMKjly5fLtu08jnxk8CruDrazC8AZbsfdhoYG1XFFIOCYXHPUrbhrWZYmxmKspQ04KJVKqaW5Oedj3Iq7zGXAGaZpKpFIEHcBeK4otuRLlizRKaecomg0qlgspiuuuEJ79+7NBoauri4999xz+uxnP6vjjjtOEydO1JVXXqmWlha9+eabeR59YSPuAv7iRdy9Y8UKdWUybgwfQA9uxt0rr7pKpaWlnAgHHDTYMmRuxd3SsjKuxgccEgwG1dHRQdwF4LmiWKLhUO3t7ZKk0aNHS5L27Nmj1tZWTZ06NfuYkpISJRIJbd++XSeddFKf52hpaVFra6skKdMjVBTD2566v0bDNPMWd7u6uvr5Xufve1+I/+6FNqY+4+nq+usfrwfy19fub0x55uV4+nstr+Juz51d5vLgCm1MBTGXC3geS/mfy5L7cXf6tGmqr69XZWVlwc1jqfB+LgptPNIhY2Kb3IfX4xns9dyKu9OnT1csFlMmk2EuH4aCHw9zuQ+vt8mZTEZ1dXV5ibuGaSoYDBbcXC60nwmp8MZUEHO5gOexVJhjKjRFF3gzmYweeughTZ48WRMmTJCk7C/UsrKyXo8tKysb8Jftiy++qMcff1zSwV/Ql112mVKplAzDcHH0hSEUCkmS4vG4QsGgltfW5ny7dffB4LRp03T33XcPHncvvvhg3H3gAb18SNw9+Dvn4Aar+6oh0zSlru6PD//rO1xdXcq+bs8rmLrf4tb/htXtMX38C3mgMXn/TRrse+TdcHoMqWD+3brU//fIbaFQ6ODX+tfXntV9MPjSS1pzGAeDX/pr3F3129/mjLvxeFxLFi9Ww4cfakWPuMtcHmxMfX8u8jaPD75on/EcOqY8/GoprH+zApnL0sH9lyV/PRhcdvvtg8fda65RtLr6E2/PL7n0Uo0bN64g5rFUeHO54LbJB1+0z5jYJvcYT57msdT/XO4295xzNG/ePK1bt05PPflkzucZyva8ra1NgUCgoOdyoW2TDx0T+9fd/1vcczkUCsm27ewJk/50x9329nbVLls2aNz9JNvzeDwuwzAKYi4X2ja5+zW7/5f96wGHU1j/ZnncLudLIDD0TFt0gffBBx/Uhx9+qK9//evDep5TTz1Vxx57rKSD0di2bQUCgaJ4e1P3TVUMw9DyFSu0Y8eOAcP2oVfubtmyZcDH9rly95VX+jzW+Ovjet7YxTAMyej+uKNfak6Goezr9vx37x5z9zi91PO1Dx1TV/fnPf8mDfY98m44PYaUe0zyblAD/Zt58boHv1Zp1imnfHylz9q1vcZ1qEOv3M1kMgM+tteVu3fcIdu2P/56xVzOPaa+Pxd5m8cHX7zPeA4dZx5+tRTMPD70tfM1lw3D6HOlz549ewb8+e1z5e4n3Z6rcObxwddWQc3lgtsmH3zxPmNim9xzPPmZx92v2XMud+t55e76p57K+TPc68rdT7A9T8TjSkyaVNBzudC2yd3/zf51ryEV/Vw+dD/3UD2v3F1eW6u2trYBf56Hsj0Ph8PZi87yPZcLbZt86Guzfz3gcApmHh/62sXQ2oarqALvgw8+qLffflvXX3+9IpFI9uPdV+7u27dPFRUV2Y/v27dPEydO7Pe5Kioqso/t6OjQjh07JA28E+UnhmHINE198MEHeVtzt/8NQv6+94X4715oY+oznu6NqNfDNNRrY1pI8hEeKiIRz5dlOHQczOXcCm1MBTGXC3geS/mZy5I3yzL0tz0vtHksFd7PRaGNRzpkTGyT+8hXeOipZ9x1elmGntvz7373u9kxMJdzK/jxMJf7yNc2+VBuLcvQc3ueTCYVjUYLbi4X2s+EVHhjKoi5XMDzWCrMMRWaorjJWldXlx588EFt3rxZ1113ncaNG9fr8+PGjVN5ebnefffd7Mfa29uVTCY1efJkr4c7Iti2rY6/rmXcHzfj7nAuWQfwMcuyFI1G8xZ3ATjHCgTyEncBuMOruDvYjd0ADJ8XcXf58uU5j88B+F9RlLIHH3xQr732mr7yla8oHA5nb45WUlKSXWrgjDPO0BNPPKGqqiqNGzdOjz76qCoqKrLLMKC3njeWO5SbcXdcZaUsyxryuAF8LBAIqLm5OW9xl7OwgDMMw1AiHte27duJu4APEHcB//Aq7ubangMoDkUReP/85z9Lkn71q1/1+vjll1+uU045RZJ09tlnq7OzUw888IDa29s1ZcoULV68mHU+PiE34+7cuXNVVVWlVCrl9LCBopROp9XY2JiXuBsMhfj9CjgkGAwqk8kQdwEfGFdZSdwFfIK4C8BLRRF4b7311kEfYxiGzjvvPJ133nkejMif3I678+bPV1NTU3bNZADDk0qlct4t1q24W1lZqUQiMayxA+gtmUwSd4ERLhAIqKqqSr+56y7iLjDCEXcBeK0o1uCF+7yIu4+tW6c9OTZ2AJzjZtxdeu21yqTTsm3bjaEDRce2bdk55p1rcdcwWBcfcJBlWWpqaiLuAiNcMBQi7gLwHIEXw+ZV3B1sZxeAM9yOux3t7UrW1eU8IAVw+HLNJbfirmEYqq6uZl18wEHpdHrQixncirumyWEh4ATDMJRIJIi7ADzHlhzDQtwF/MWLuFtbW6s0a2kDrnMz7l68YIEikQjr4gMOGmw+uRV3w3+98TSA4QsGg8qk08RdAJ4j8GLIDMMg7gI+4lXczbWzC8AZbsfd2bNnq6Ghgbd7Ax5xK+7WxONKJBK8qwZwULKuLi9x1zAMTtYARYzAiyGbGIsRdwGfIO4C/uFF3F29erVampvdGD6AQ7gZd5csWaKOjo6c23IAh8+27ZzvVHMr7lqWpYmxGMutAEWM2Y8hCQaDKi0tJe4CPkDcBfzDq7g72PYcgDPcjrsNDQ2q4+3egGNyzVE34+6VV12l0tJSbmIMFDECL4bENE3V19cTd4ERrrSsjLgL+ARxF/AXL+LuHStWqCuTcWP4AHpwO+5OnzZN9fX1yjCfgaJF4MWQ2LatthzBxs24yx27AWeYpqlYLEbcBXzAME3iLuAjXsVdlmYA3OdF3F25cmXO43MA/hfI9wAwMuU6M+hm3K2IRBQI8GMLOCEYDKqtrS1vcdcwjGGNH8DH4vG4QqEQcRfwAeIu4B9exd1c23MAxYFSBke5GXdnzpqlaDTKHbsBh2QyGe2sr89L3LUCAe7yCzgkFApJEnEX8IGKSIS4C/gEcReAl1iiAY5xO+4uXLhQzc3NSuW4KymAw2fbds4DR7fibllZmRLx+LDGDuBjhmEomUwSd4ERzrIsRaNR4i7gA8RdAF4j8MIRXsTdDRs2qLGx0cFRAxiIm3F36dKlMi2Lu/wCDrFtWx3t7QN+3s24y7JJgHMCgYCam5uJu8AIZwUCxF0AniPwYti8irtr16yRcuzsAnCG23E3XFKiZDKZ8+AVwOHLtS6+m3F3XGUlNz4FHJROp9XY2JiXuMu6+IAzDMNQIh4n7gLwHIEXw+Jl3CUGAe7zIu7WLlsmmyuIANe5GXfnzp2rqqoq1sUHHJRKpXJezOBW3A2GQqyLDzgkGAzKtCziLgDPEXgxdMRdwFe8iru5dnYBOMPtuDtv/nw1NTWxLj7gEbfibmVlpRKJhBtDBopWMpnMT9w1DJZOAooYgRdDVl1dTdwFfIK4C/iHF3H3sXXrtIf5DHjCzbi79NprlUmnWRcfcIht2znfqeZW3DUMQ9XV1SydBBQxAi+GJBAIKBKJEHcBHyDuAv7hVdwdbHsOwBlux92O9nYl6+rY5wYckmsuuRl3L16wQJFIhHfWAEWMwIshsSxLDQ0NxF1ghAuXlBB3AZ8g7gL+4kXcra2tVZogBLjO7bg7e/ZsNTQ0sDY+UMQIvBiSVCqllubmnI9xK+6aJj+2gBNM01QikSDuAj5gGAZxF/ARr+Juru05AGd4EXdXr1496PE5AH+jlGFIBjsz6FbcLS0r4y6/gEOCwaA6OjqIu4APTIzFiLuATxB3Af/wKu4Otj0H4H8EXjjOrbg7ffp0xWIxZTIZh0cMFKeuri7V1dXlJe4apqlQKDSs8QM4KBgMqrS0lLgL+EBpWRlxF/AJ4i4ALxF44Sg34+6iRYvU1tbGXX4Bh3R2dqorxwkTt+JuKBRSPB6XYRjDGj+Ag0zTVH19PXEXGOFM01QsFiPuAj5A3AXgNQIvHON23H1nyxbtrK93eNQA+uNm3L1m8WKFw2FO1gAOsW1bbTnmqJtx17KsoQwZQD+CwaDa2tqIu8AIZ5gmcReA5wi8cIQXcfeeVatyPhaAM9yOu9FoVMlkkuVWAIfkmktuxt2KSESBQGAoQwbQj0wmo5319XmJu7yrBnBOPB4n7gLwHIEXw+ZV3B3sxm4Ahs+LuLt8+XJ1tLe7MXwAPbgZd2fOmqVoNMq2GXCQbds5943dirtWIMBNjAGHhEIhhcNh4i4AzxF4MSzEXcA/vIq7uXZ2ATjD7bi7cOFCNTc3K5VKOThqAANxK+6WlZUpEY+7MWSgKBmGoWQymbe4yztrgOJF4MWQjausJO4CPkHcBfzDi7i7YcMGNTY2OjhqAANxM+4uXbpUpmWxLj7gENu2c75Tzc24O66ykrXxgSJG4MWQBAIBVVVVEXcBHyDuAv7hVdxdu2aNxLr4gOvcjrvhkhIlk0nucwE4JNe6+G7G3blz56qqqorjZ6CIEXgxJJZlqampibgLjHDBUIi4C/iEl3GXGAS4z4u4W7tsmewczwvAGW7H3Xnz56upqYmlk4AiRuDFkKTTae3JEXck9+KuafJjCzjBMAwlEgniLuAHxF3AV7yKu7m25wCc4UXcfWzdukGPzwH4G6UMQzLYmUG34m64pIS7/AIOCQaDyqTTxF3AB6qrq4m7gE8QdwH/8CruDrY9B+B/BF44zq24WxOPK5FIcHAJOChZV5eXuGsYBidrAIcEAgFFIhHiLuAD4ZIS4i7gE8RdAF4i8MJRbsbdJUuWqKOjI+eOLoDDZ9u20jmuxncr7lqWpYmxGMutAA6xLEsNDQ3EXWCEM01TiUSCuAv4AHEXgNc4uoZj3I67DQ0NquPt3oBjcs1RN+PulVddpdLSUtm2PazxAzgolUqppbk552PcirucqAGcEwwG1dHRQdwFRjjDMIi7ADzHXjkc4UXcvWPFCnVlMm4MH0APbsfd6dOmqb6+XhnmM+CIXNtRyb24W1pWxlIrgIO6urpUV1dH3AVGuImxGHEXgOcIvBg2r+IuSzMA7vMi7q5cuVJtOQ5IATjHrbg7ffp0xWIxTtQADurs7Mx5MYNbcdcwTYVCoWGNHcBBwWBQpaWlxF0AngvkewAY2Yi7gH94FXdz7ewCcI6bcXfRokVqa2tTIMCuJOAFt+JuKBRSPB6XYRhuDBsoOqZpqr6+Pm9x17KsoQwbgA9wBS+GrCISIe4CPkHcBfzF7bj7zpYt2llf7/CoAfTHzbh7zeLFCofDrIsPOMS27ZzvVHMz7lZEIpx4BYoYgRdDYlmWotEocRfwAeIu4C9exN17Vq3K+VgAznA77kajUSWTSZZbARySay65GXdnzpqlaDQ66Lr8APyLwIshCQQCam5uJu4CI5wVCBB3AR/xKu5yAAm4z4u4u3z5cnW0t7sxfAA9uB13Fy5cqObmZqVSKQdHDWAkIfBiSNLptBobG/MSd1kjDHCGYRhKxOPEXcAniLuAf3gVd3NtzwE4w4u4u2HDBjU2Njo4agAjDYEXQ5JKpaQ8xN1gKKRgMDissQM4KBgMyrQs4i7gA+MqK4m7gE8QdwH/8Crurl2zJufxOQD/I/DCcW7F3crKSiUSCTeGDBStZDKZn7hrGNwEAnBIIBBQVVUVcRfwgWAoRNwFfMLLuMu6+AAIvHCUm3F36bXXKpNOc5dfwCG2bcvOMe/ciruGYai6ulqWZQ1r/AAOsixLTU1NxF1ghDMMQ4lEgrgL+ABxF4DXCLxwjNtxt6O9Xcm6OjZggENyzSU34+7FCxYoEolwEwjAIel0WntyxB3JvbhrmuxKAk4JBoPKpNPEXWCkI+4CyAP2yuEIL+JubW2t0gQhwHVux93Zs2eroaGBKwIBhwx2ssStuBsuKWFdfMBhybo64i4wwlVXVxN3AXiOwIth8yru5trZBeAML+Lu6tWr1dLc7MbwARzCrbhbE48rkUhwcAk4yLbtnBczuBV3DcPgZA3gkEAgoEgkQtwF4DkCL4aFuAv4h1dxd7CdXQDOcDPuLlmyRB0dHTm35QA+mVxz1K24a1mWJsZiLLcCOMSyLDU0NOQt7jKXgeLF7MeQlZaVEXcBnyDuAv7idtxtaGhQHW/3BjzhZty98qqrVFpayk2MAYekUqlB36nmVtwtLSvjanygiBF4MSSmaSoWixF3AR8g7gL+4kXcvWPFCnVlMm4MH0APbsfd6dOmqb6+XhnmM+CIwe4x4VbcnT59umKxGHMZKGIEXgxJMBhUW1sbcRcY4QzTJO4CPuJV3GVpBsB9XsTdlStXqo19bsATbsbdRYsWqa2tjavxgSJG4MWQZDIZ7ayvz0vcNQxjWGMH8LF4PE7cBXyCuAv4h1dxN9f2HIBz3I6772zZop319Q6PGsBIQuDFkNi2nXND41bctQIB1hUCHBIKhRQOh4m7gA9URCLEXcAniLuAv3gRd+9ZtSrnYwH4H4EXjnMr7paVlSkRj7sxZKAoGYahZDKZt7gbCASGPHYAH7MsS9FolLgL+IAVCBB3AR/xKu4OtvYvAP8j8MJRbsbdpUuXyrQs1hUCHGLbtjra2wf8vJtxd1xlpSzLGvLYAXwsEAioubmZuAuMcIZhKBGPE3cBnyDuAvASgReOcTvuhktKlEwmeesJ4JBcd9l1M+7OnTtXVVVV7IwCDkmn02psbMxL3GVdfMA5wWBQpmURdwEfIO4C8BqBF47wIu7WLlsmmyuIANe5HXfnzZ+vpqYmpVIpp4cOFKVUKiXlIe4GQyHWxQcclkwmibvACDeuspK4C8BzBF4Mm1dxN9fOLgBneBF3H1u3TnuYz4An3Iq7lZWVSiQSbgwZKFq2bee8mMG1uGsYrIsPOCQQCKiqqoq4C8BzBF4MC3EX8A+v4u5gO7sAnOFm3F167bXKpNOsiw84KFfccSvuGoah6upq1sUHHGJZlpqamvIWd02TxAMUK2Y/hixcUkLcBXyCuAv4i9txt6O9Xcm6OtbFBzzgZty9eMECRSIRlk0CHJJOpwd9p5pbcTdcUsLSSUARI/BiSEzTVCKRIO4CPkDcBfzFi7hbW1urNEEIcJ3bcXf27NlqaGjg7d6AQwY7WeJW3K2Jx5VIJDjxChQxAi+GJBgMqqOjg7gLjHCGYRB3AR/xKu7m2p4DcIYXcXf16tVqaW52Y/gADuFm3F2yZIk6OjpybssB+BuBF0PS1dWluro64i4wwk2MxYi7gE8QdwH/8CruDrY9B+AMt+NuQ0OD6nL8ngDgfwReDElnZ6e6MpkBP+9W3DVMU6FQaFhjB3BQMBhUaWkpcRfwgdKyMuIu4BPEXcBfvIi7d6xYkfP4HID/EXjhOLfibigUUjwel2EYbgwbKDqmaaq+vj5vcZc7dgPOME1TsViMuAv4gGGaxF3AR7yKuyzNACCQ7wHAX9yMu9csXqxwOCzbtt0YOlB0bNtWW4456mbcrYhEFAiwCQKcEAwG1dbWRtwFfCAejysUChF3AR8g7gLwElfwwjFux91oNKpkMqkMbz0BHJFrLrkZd2fOmqVoNModuwGHZDIZ7ayvz0vc5V01gHNCoZDC4TBxF/AB4i4ArxF44Qgv4u7y5cvV0d7uxvAB9OB23F24cKGam5uVSqUcHDVQvGzbznng6FbctQIBBYPBYY0dwMcMw1AymSTuAiNcRSRC3AXgOQIvhs2ruJtrZxeAM7yIuxs2bFBjY6ODowYwELfibllZmRLxuBtDBoqWbds5L2ZwM+6ybBLgDMuyFI1GibsAPEfgxbAQdwH/8Crurl2zRsqxswvAGW7G3aVLl8q0LNbFBxyUa+kkN+PuuMpKbnwKOCQQCKi5uTlvcZelk4DiReDFkAVDIeIu4BNext1cO7sAnOF23A2XlCiZTDKfAQ+4GXfnzp2rqqoq1sUHHJJOp9XY2JiXuBsMhVg6CShiBF4MiWEYSiQSxF3AB4i7gL94EXdrly2TzdtDAde5HXfnzZ+vpqYm1sUHHJJKpXK+U82tuFtZWalEIjGssQMY2Qi8GJJgMKhMOk3cBUY64i7gK17F3VzbcwDO8CLuPrZunfYwnwFPuBl3l157rTLpNEsnAUWMwIshS9bVEXeBEa66upq4C/gEcRfwD6/i7mDbcwDOcDvudrS3K1lXxz43UMQIvBgS27aVzvFWLrfirmEYrCsEOCQQCCgSiRB3AR8Il5QQdwGfIO4C/uJF3K2trc15fA7A/wi8GJJcwcatuGtZlibGYjJNfmwBJ1iWpYaGhrzFXeYy4AzTNJVIJIi7gA8YhkHcBXzEq7iba3sOoDgE8j0A+IubcffKq65SaWkp6woBDkmlUmppbs75GLfibmlZGVfjAw4JBoNqb28n7gI+MDEW0+jRo4m7gA8QdwF4icun4Bi34+70adNUX1+vTCbjxvCBopNrJ1NyL+5Onz5dsViMuQw4pKurS3V1dcRdYIQLBoMqLS0l7gI+QNwF4DUCLxzhRdxduXKl2tiAAZ5wM+4uWrRIbW1tXI0POKSzs1NdOU6YuBV3DdNUKBQa1tgBfMw0TdXX1xN3gRGutKyMuAvAcwReDJtXcTfXzi4A57gdd9/ZskU76+sdHjWA/rgVd0OhkOLxuAzDcGPYQFGybTvnxQxuxl3LsoYyZACHME1TsViMuAvAcwReDAtxF/AXL+LuPatW5XwsAGe4GXevWbxY4XCYK/EBB+VausjNuFsRiSgQ4NYsgBOCwaDa2tryFnc58QoULwIvhswKBIi7gI94FXcHW/sXwPC5HXej0aiSySRraQMecDPuzpw1S9FolG0z4JBMJqOd9fV5ibtWIMBNjIEiRuDFkBiGoUQ8TtwFfIK4C/iHF3F3+fLl6mhvd2P4AHpwO+4uXLhQzc3NSqVSDo4aKF62befcN3Yr7paVlSkRjw9r7ABGNgIvhiQYDMq0LOIu4APEXcA/vIq7ubbnAJzhRdzdsGGDGhsbHRw1gIG4GXeXLl0q07JYOgkoYgReDFkymSTuAiPcuMpK4i7gE8RdwD+8irtr16yRWBcfcJ3bcTdcUqJkMsl9LoAiRuDFkNi2LTvHRsm1uGsY3AQCcEggEFBVVRVxF/CBYChE3AV8wsu4SwwC3OdF3K1dtizn8TkA/yPwYkhy7Qy6FXcNw1B1dbUsyxrW2AEcZFmWmpqa8hZ3TZNNEOAEwzCUSCSIu4AfEHcBX/Eq7ubangMoDlwKCUe5GXcvXrBAkUiEm0AADkmn09ozyM6gW3E3XFLCXX4BhwSDQaVsm7gL+EB1dbXKy8uJu4APEHcBeInLp+AYt+Pu7Nmz1dDQwNu9AYcMdrLErbhbE48rkUhwcAk4KFlXR9wFRrhAIKBIJELcBXyAuAvAawReOMKLuLt69Wq1NDe7MXwAh3Az7i5ZskQdHR05d3QBHD7btpXOccLGrbhrGAZX4gMOsixLDQ0NxF1ghAuXlBB3AXiOwIth8yruDrazC8AZbsfdhoYG1XFFIOCYXHPUrbhrWZYmxmKspQ04KJVKDXoxg1txl7kMOMM0TSUSCeIuAM+xJcewEHcBf/Ei7t6xYoW6Mhk3hg+gBzfj7pVXXaXS0lLZtu3G0IGiNNgyZG7F3dKyMq7GBxwSDAbV0dFB3AXgOQIvhswwTeIu4CNexV2WZgDc53bcnT5tmurr65XhZA3gCbfi7vTp0xWLxZjLgEO6urpUV1eXl7hrmKZCodCwxg9g5CLwYsji8ThxF/AJ4i7gH17E3ZUrV6otxwEpAOe4GXcXLVqktrY2rsYHHNLZ2ZnznWpuxd1QKKR4PC7DMIY1fgAjF4EXQxIKhRQOh4m7gA8QdwH/8Cru5tqeA3CO23H3nS1btLO+3uFRA+iPm3H3msWLFQ6HOVkDFDECL4bEMAwlk0niLjDCVUQixF3AJ4i7gL94EXfvWbUq52MBOMPtuBuNRpVMJlluBShiBF4MiW3b6mhvH/DzbsbdQCAw5HED+JhlWYpGo8RdwAesQIC4C/iIV3F3sBu7ARg+L+Lu8uXLcx6fA/A/Ai+GJNeZQTfj7rjKSlmWNeRxA/hYIBBQc3Nz3uIua4QBzjAMQ4l4nLgL+ARxF/APr+Juru05gOJA4IWj3Iy7c+fOVVVVFTujgEPS6bQaGxvzEneDoZCCweCwxg/goGAwKNOyiLuAD4yrrCTuAj5B3AXgJQIvHON23J03f76ampqUSqWcHjpQlFKplJSHuFtZWalEIjGssQPoLZlMEneBES4QCKiqqoq4C/gAcReA1wi8cIQXcfexdeu0J8fGDoBz3Iy7S6+9Vpl0mrv8Ag6xbVt2jnnnWtw1DNbFBxxkWZaampqIu8AIFwyFiLsAPEfgxbB5FXcH29kF4Ay3425He7uSdXXctRtwSK655FbcNQxD1dXVrIsPOCidTg96MYNbcdc0OSwEnGAYhhKJBHEXgOfYkmNYiLuAv3gRd2tra5VmqRXAdW7G3YsXLFAkEmHZJMBBg80nt+JuuKSEdfEBhwSDQWXSaeIuAM8ReDFkhmEQdwEf8Sru5trZBeAMt+Pu7Nmz1dDQwNu9AY+4FXdr4nElEgneVQM4KFlXl5e4axgGJ2uAIkbgxZBNjMWIu4BPEHcB//Ai7q5evVotzc1uDB/AIdyMu0uWLFFHR0fObTmAw2fbds53qrkVdy3L0sRYjOVWgCLG7MeQBINBlZaWEncBHyDuAv7hVdwdbHsOwBlux92GhgbV8XZvwDG55qibcffKq65SaWkpNzEGihiBF0Nimqbq6+uJu8AIV1pWRtwFfIK4C/iLF3H3jhUr1JXJuDF8AD24HXenT5um+vp6ZZjPQNEi8GJIbNtWW45g42bc5Y7dgDNM01QsFiPuAj5gmCZxF/ARr+IuSzMA7vMi7q5cuTLn8TkA/wvkewAYmXKdGXQz7lZEIgoE+LEFnBAMBtXW1pa3uGsYxrDGD+Bj8XhcoVCIuAv4AHEX8A+v4m6u7TmA4kApg6PcjLszZ81SNBrljt2AQzKZjHbW1+cl7lqBAHf5BRwSCoUkibgL+EBFJELcBXyCuAvASyzRAMe4HXcXLlyo5uZmpXLclRTA4bNtO+eBo1txt6ysTIl4fFhjB/AxwzCUTCaJu8AIZ1mWotEocRfwAeIuAK8ReOEIL+Luhg0b1NjY6OCoAQzEzbi7dOlSmZbFXX4Bh9i2rY729gE/72bcZdkkwDmBQEDNzc3EXWCEswIB4i4AzxF4MWxexd21a9ZIOXZ2ATjD7bgbLilRMpnMefAK4PDlWhffzbg7rrKSG58CDkqn02psbMxL3GVdfMAZhmEoEY8TdwF4jsCLYfEy7hKDAPd5EXdrly2TzRVEgOvcjLtz585VVVUV6+IDDkqlUjkvZnAr7gZDIdbFBxwSDAZlWhZxF4DnCLwYOuIu4Ctexd1cO7sAnOF23J03f76amppYFx/wiFtxt7KyUolEwo0hA0UrmUzmJ+4aBksnAUWMwIshq66uJu4CPkHcBfzDi7j72Lp12sN8BjzhZtxdeu21yqTTrIsPOMS27ZzvVHMr7hqGoerqapZOAooYgRdDEggEFIlEiLuADxB3Af/wKu4Otj0H4Ay3425He7uSdXXscwMOyTWX3Iy7Fy9YoEgkwjtrgCJG4MWQWJalhoYG4i4wwoVLSoi7gE8QdwF/8SLu1tbWKk0QAlzndtydPXu2GhoaWBsfKGIEXgxJKpVSS3Nzzse4FXdNkx9bwAmmaSqRSBB3AR8wDIO4C/iIV3E31/YcgDO8iLurV68e9PgcgL9RyjAkg50ZdCvulpaVcZdfwCHBYFAdHR3EXcAHJsZixF3AJ4i7gH94FXcH254D8D8CLxznVtydPn26YrGYMpmMwyMGilNXV5fq6uryEncN01QoFBrW+AEcFAwGVVpaStwFfKC0rIy4C/gEcReAlwi8cJSbcXfRokVqa2vjLr+AQzo7O9WV44SJW3E3FAopHo/LMIxhjR/AQaZpqr6+nrgLjHCmaSoWixF3AR8g7gLwGoEXjnE77r6zZYt21tc7PGoA/XEz7l6zeLHC4TAnawCH2Latthxz1M24a1nWUIYMoB/BYFBtbW3EXWCEM0yTuAvAcwReOMKLuHvPqlU5HwvAGW7H3Wg0qmQyyXIrgENyzSU3425FJKJAIDCUIQPoRyaT0c76+rzEXd5VAzgnHo8TdwF4jsCLYfMq7g52YzcAw+dF3F2+fLk62tvdGD6AHtyMuzNnzVI0GmXbDDjItu2c+8ZuxV0rEOAmxoBDQqGQwuEwcReA5wi8GBbiLuAfXsXdXDu7AJzhdtxduHChmpublUqlHBw1gIG4FXfLysqUiMfdGDJQlAzDUDKZzFvc5Z01QPEi8GLIxlVWEncBnyDuAv7hRdzdsGGDGhsbHRw1gIG4GXeXLl0q07JYFx9wiG3bOd+p5mbcHVdZydr4QBEj8GJIAoGAqqqqiLuADxB3Af/wKu6uXbNGYl18wHVux91wSYmSyST3uQAckmtdfDfj7ty5c1VVVcXxM1DEuH6/hxdeeEHr16/Xvn37NHHiRC1YsECJRCLfwypIlmWpqamJuAuMcMFQiLgL+ISXcZcYBLjPi7hbu2yZli5d6sbwAfTgdtydN3++mpqaVFZW5vTQAYwQXMH7V5s2bdJDDz2kefPm6Zvf/KYmTpw46M5RMUun09qTI+5I7sVd0+THFnCCYRhKJBLEXcAPiLuAr3gVd3NtzwE4w4u4+9i6dYMenwPwN0rZXz377LOaM2eOTjnlFEWjUV166aUKhULauHFjvodWkAa7qYpbcTdcUsJdfgGHBINBZdJp4i7gA9XV1cRdwCeIu4B/eBV3B9ueA/A/lmjQwVi5Y8cOzZ07N/sx0zQ1depUbd++PX8DG6Hcirs18bgSicSAz2dZhiTvDjwPvt7AQqGQRyP5BK9peRzHB3m9gOntv9nHrzmwoGlJAy+d5bigmd8bISTr6vISdw3DGPBkDXN5kNf0eh4fxmt6PZcLbR5nXzNPAoGAIpGIVq5cWTBx1+t5/PFrDszruVxw2+RBXpNtcv63ydLBixkKKe4W2lwuuG2yxP61mMsDKaS4y/41+9eDKbR5nH1NHDaji0sx1NLSop/85Cf6+te/rsmTJ2c//sc//lFbt27VDTfc0O/faW1tlXRwuYJUKqXKysqiuLo0HA5r7969+uijj7Lfg26RSETRaFTNzc1qaGjI+TylpaWqqalRW1ub6uvrcx44lpSUKB6Pq6urSynbVmTMGHV0dGTHs685fz/GZREjO5bu8SSTybyNR9LBt90fMiY1f5i/AUUm9BlP036Ptw6HqBpt9hnTjvaP8jaempKxvcbjtnA4rObmZu3Zs6fPPO4WCAQUj8dlWZaSyWTOg0zTNBWPxxUKhVRXV6f2HHcPNgxDU6ZMUSAQ0KhRo5jLOfScy3mfx1LBzeVCm8dSfuZy+4EDamlt1Ycf5v75qKysVGVlpXbv3j1o3Dmc7Xl5ebnGjh2rMQW0TZYKby4X3DZZ6jWX8z2PpcKby17PY+ng19zS0qKSkhLt379fdXV1OW/WFAqFlEgklE6nVVdXl/PddYNtz0fCXM73PJYKcC4X2DZZYi73PE7et2+fYrGYSktLtWPHDrW1teX8u9FoVJFIRA0NDWpubs752IG254U4lwttmyyxfz2YQpvHUn62y/liWZaCweCQliYl8GpogXfdunV6/PHHJUmf+tSndO6553o2XgAAAAAAAAD+UlNTc/DkwyfEEg2SRo8eLdM0+7ytad++fQPehfLUU0/VscceK0nKZDIKh8MqLy/nBmAoGI2NjVq1apWuuuoqVVdX53s4AIaIuQz4A3MZGPmYx4A/MJdRyIa6MgCBVwfftlRTU6N3331Xxx13nKSD0fbdd9/V6aef3u/fqaioUEVFhZfDBD4R0zS1e/dumaY5pLM/AAoDcxnwB+YyMPIxjwF/YC7Djwi8f/WZz3xGv/vd7xT/6428nn32WXV2dmrWrFn5HhoAAAAAAAAA9IvA+1cnnXSS2tratG7dOrW2tioWi2nJkiUqLy/P99CAISkvL9e5557LzzAwwjGXAX9gLgMjH/MY8AfmMvyIm6wBAAAAAAAAwAjFHcEAAAAAAAAAYIQi8AIAAAAAAADACEXgBQAAAAAAAIARisAL5PDoo4/qgQceyPcwXHHrrbfq2WefzfcwPrFbbrlFmzdvHtZz3Hvvvfr1r3/t0IgOeuedd/Szn/1MmUzG0ef1Iyf+Db2yZ88e3XLLLaqvr8/3UD6x9957T7fccosOHDjwif/uhg0bVFtb68Ko+tq4caN+9KMfZf973bp1+tnPfuboa6RSKd16662qq6tz9HkBAAAAoBAE8j0A+N+9996rV155RaeeeqoWLlzY63O///3v9ec//1kzZ87UF7/4xSE/vr29XV/5ylf6vPZtt92mWCymiy++uNfHN27cqIceeqhXVDhUa2urnnvuOd100019Pv7kk0/qnXfeUXNzs0pKSlRZWakZM2Zo5syZCoVCh/utKWjr1q3Tm2++qRtvvDH7sa1bt+rOO+/UrFmzdNFFF8kwjDyOsLBMnz5d69at02uvvaaZM2fmezh5lWtOStL3v/99jRo1ytHX7Orq0ksvvaSNGzeqoaFBpmlm5+WcOXM8nZfdv8O6jR49WvF4XJ/73Oc0ceJEz8YxVLZt69FHH9XVV1/d6+Pt7e1av3693njjDX300UcqKSnRhAkTdNppp+m4445z7PfBWWedpdNPP92R5+oWCAR01lln6eGHH9Z1113n6HMDXkqlUvrpT3+qL37xi5o8ebKnr33LLbfoy1/+so477rh+P9/Q0KDa2lrdfPPNvtkXQmHas2eP/vmf/1nf+ta3FIvF8j2cIbn11lv1mc98Rp/5zGcGfIwb832gY6N8+vOf/6y3335b11xzTb6HggKxfft2/fKXv9S0adO0ePHifA8HGDEIvPBEJBLRpk2bdNFFFykYDEo6GBFee+01jRkzZtiPd8NLL72kyZMna+zYsdmP7d69W7/85S9VUlKi888/XxMmTJBlWfrwww/10ksvqaKiQscee6wn4+tPV1eXMpmMLMty/Lnffvtt3X333Tr77LM1b948x5/fD2bNmqXnn3++6APvYMrLyx1/znvuuUebN2/WZz/7WS1YsEClpaXauXOnnnvuOY0dO3bAIOGWadOm6YorrpB08KTQo48+qjvuuEP/5//8H0/HMRRvvPGGSkpKNGXKlOzHDhw4oF/+8pdqb2/Xeeedp3g8LtM0tXXrVj388MP61Kc+5Vi0D4fDCofDjjxXTyeffLL+8Ic/qKGhQdFo1PHnx9B80pO63fo7+Dv05MqhxowZo1tuuWVYJ383btyo++67r9fHAoGAfvzjH/f62AsvvKD169dr3759mjhxohYsWKBEIpH9fFdXl9atW6cNGzbowIEDmjJlii699FJVVVUN+NqS9OKLL2rs2LG9Ys8tt9wiSfrGN76hSZMmZT+eSqX0k5/8RPv379d1112nT33qUzmfu1t/J3gPRzQa1aRJk/TMM8/o3HPP/UR/F+453AsTbr31Vu3du1eSFAwGNX78eM2dO1cnnnhi9rn279+vxx9/XJs3b1Zra6tGjx6tadOmaf78+f3un3/SSHPbbbdp69atkiTLslRaWqpYLKZTTjlFxx9/fPZxY8aM0fe//32NHj16GN+ZwtfffH///ff12GOPaefOnUqlUqqoqNDkyZP1hS98QYHA4If2X/7yl105ThiOU045RU888YS2bt2qI444It/DQQHYsGGDTj/9dG3YsEEtLS2qqKhw5XXcPHYG8oHAC0/U1NRo9+7deuONNzRjxgxJ0ubNmzVmzBiNGzdu2I93w+uvv67TTjut18cefPBBmaapb37zm72uTqmsrNRxxx2nrq6u7McOHDigP/zhD3rrrbeUSqVUU1Ojiy66KHulQfcB1JlnnqlHH31UBw4c0PTp03XZZZdl40Ymk9H69ev10ksvqbW1VVVVVTr33HN1wgknSDr4Fuzbb79dixcv1qOPPqoPP/xQS5Ys0ZgxY/TQQw8pmUyqs7NT1dXVOv/883XUUUcN6Xvx2muv6Xe/+50uvPDCXlfWdV+pOWXKFD3zzDNKp9M68cQTdfHFF2c3lPv379fatWv11ltvKZ1O64gjjtCCBQtUVVWlrq4u/fjHP9all16a/Zp+9rOfad++ffr+978vSdq2bZtuv/12/fCHP+z3iqC9e/fqD3/4g/7yl7/IMAxNmTJFF198cfbnJJPJ6I9//KM2btwo0zR1yimn9HmOjo4OrV69Wps3b1ZJSYnOOussvfnmm70CQCqV0iOPPKJNmzbpwIEDmjBhgi644IJeB8zHHHOMHnzwQe3evVuVlZVD+l4Xg55Xgf385z/XEUccoc997nPZz+/bt08/+clPdO211+rII48c9Hv/+uuv67XXXutzZdm4ceN07LHHqqOjQ9LBn4UnnnhCL730ktra2lRdXa0LLrhA06dPz/6dZDKpBx54QLt27VI0GtU555zTZ/wffvih/vjHP2rbtm0KhUI66qijdNFFF6m0tDT7mEAgkA3Z5eXlmjt3rn75y19q3759KisrkzT4z+7hzK9UKpW9cnzfvn0aM2aM5s6dq9mzZ2fHsmPHDj388MNqbGzUxIkTdcUVV2j8+PED/vts2rRJxxxzTK+PPfLII/roo490880399rJHj9+vE466aTsQWWu+d5t48aNWrdunfbv36+jjjqqV0iW+salw/k+tLS06P7779d7772n8vJynX/++frTn/7U6+qo0aNHa/Lkydq0aZPOO++8Ab9+eG8oJ3X7O/hbsGBBr98l//AP/6DLL788O8eduso8HA7r5ptvHvDzmzZt0kMPPaSFCxcqkUjoueeey17Z2j3/169fr+eff15XXHGFxo0bp0cffVTLly/Xt7/97ez34FBdXV164YUXNH/+/D6fi0Qi2rhxY6/Au3nzZoVCIe3fv3+YX/HhO+WUU3T//fdr7ty5HDAXgE96YcL8+fM1Z84ctbe365lnntFvf/tbRSIRTZ48Wfv379fPf/5zWZalhQsXKhqNas+ePXr00Uf1n//5n/r617/eZ99nKJFmzpw5mj9/vjKZjJqbm7V582b99re/1axZs/SFL3xBkmSapisniwtJf/O9oaFBy5cv1+mnn64FCxYoGAyqqalJb7zxRq9jkFwKMYoHAgGdfPLJev755wm8UEdHh15//XV985vfVGtrq15++WWdc845+u1vf6uuri4tWrQo+9h0Oq1/+Id/0IUXXqhZs2a5eux8OPuagx3/A24j8MIzp5xyil5++eVssN24caNOOeUUvf/++4483kn79+9XY2Ojampqsh9ra2vTX/7yF51//vkDvvWw58Hj3XffrWAwqMWLF6ukpEQvvviili1bpptvvjm7c7V7925t3rxZ11xzjQ4cOKCVK1fqqaee0vnnny9Jeuqpp/Tqq69q4cKFqqys1NatW3XPPfeotLRURx55ZPa1Hn74YV144YUaN26cRo0apb179+roo4/W+eefr0AgoFdeeUV33nmnbr755k98BfQLL7yghx56SJdffnn236Kn7o3cddddp927d2vlypWKxWKaM2eOJOl3v/uddu/era9+9asKh8P605/+pBUrVug73/mOLMvSlClT9P777+uEE07Ift+DwaAaGxtVXV2t999/X/F4vN/veTqd1vLlyzVp0iT9z//5P2Wapp544gmtWLFCN954owKBgJ555hm9/PLLuvzyy1VdXa2nn35amzdv7hVmH3roIW3btk1f/epXVVZWpnXr1qm+vr7XxvjBBx9UY2OjvvSlL6miokKbN2/WihUrdNNNN2Xj1ZgxY1RWVqatW7cSeA/TjBkztH79el1wwQXZ+fP666+roqIiu5M/2Pf+1Vdf1fjx4/u9StcwDJWUlEiSnnvuOT3zzDP6whe+oFgspo0bN+rXv/61vv3tb6uqqkodHR264447dNRRR+mqq67Snj17tHbt2l7Pd+DAAd1+++2aPXu2LrroItm2rT/96U+6++679bWvfa3fr7Gjo0OvvvqqKisrs3P/cH52pcHn17333qvt27fr4osv1sSJE/XRRx+pra2t1+s/8sgjuvDCC1VaWqrVq1frvvvu09e//vUB/022bdvWa65nMhlt2rRJJ598cr8H5z2vth1svn/wwQe6//77dcEFF+jYY4/Vli1btG7dugHH0u1wvg9tbW362te+Jsuy9NBDD/X5PkhSIpHIXh2GwvFJT+oOdPBXUlKSne/dRo0a5XgIMgwj53M+++yzmjNnTvaE4qWXXqq3335bGzdu1Ny5c9XV1aXnnntOn/3sZ7O/t6688kr9+Mc/1ptvvqmTTjqp3+fdsWOHdu/eraOPPrrP52bNmqXnnntOF198cTYQb9y4UTNnztQTTzzR67EPP/ywNm/erObmZpWXl+vkk0/WueeeK8uytHHjRj3++OOSPr4y+PLLL89+LW1tbfr1r3+tv/zlL6qoqNCFF17YKxBOnTpVBw4c0NatWzV16tTD+n7CPZ/kwgTp4O/z8vJylZeX65JLLtGrr76qt956S5MnT9YjjzyilpYWfe9738v+/I8ZM0ZLly7Vv/zLv+jBBx/UkiVLss810DwdTDAYzD5/JBLRpEmTNH78eN1333064YQTdNRRR/VZoiGTyeiBBx7Qe++9p9bWVo0ZM0annXZar+UPuk8Wdp90SaVS+sxnPqNzzjlHjzzyiDZs2KBgMKjzzjuv18UAH374odasWaMPPvhAoVBIxx9/vC688MLstu9wTkLu27dP9913n959912Vl5cf1knG/ub7X/7yF5WXl+vzn/98r3/LnieqpYPb8UceeUR1dXWyLEuJREJf+tKXNHr06D7vYBjsJHr3OxsWLVqktWvXqrm5WVOmTNHll1/ea59gw4YNeuaZZ7R7926NHj1axx9/vC655BJJhxe9jj76aNXW1sq27QFPcqE4vP7666qurtb48eM1Y8YMPfTQQ5o7d65mzJihu+++Wx0dHdn5t2XLFtm2nb3C381j58PZ1zyc43/ATdxkDZ6ZMWOGtm3bpo8++kgfffRRn4gw3Mc7ae/everq6uq147J79251dXX1efvk3//93+tv//Zv9bd/+7d6+OGHJR3csUomk7r66qsVj8dVVVWlCy+8UKNGjdJ///d/Z/9uV1eXvvjFL2rChAk64ogjNGPGDL377ruSDu5wPfnkk7r88ss1bdo0VVZW6pRTTtHJJ5+sF198sdcY5s+fr6OOOiobkGKxmE499VRNmDBBVVVVOu+881RZWak333zzE30fGhsb9eCDD+rSSy8d8Hs/atQoXXLJJaqurtYxxxyjo48+Ovs1NDU16a233tJll12mI444QrFYTFdeeaVaWlqyN9k68sgjs9F+69atisVivT72/vvv99og9/T666+rq6tLl112mSZMmKDq6mpdfvnl2rt3b/bvP/vss5o7d66OP/54VVdXa+HChb0CQEdHh1555RVdeOGFmjp1qiZMmKArrrii183S9u7dq5dffllXX321jjjiCFVWVuqss87SlClTtHHjxl5jqqioyL7FEYM74YQT1NLSom3btmU/9tprr+mkk06SYRiH9b3fvXv3oG9rlqRnnnlGc+fO1UknnaTx48dn18Ttvtnga6+9lv15ikajOuaYY3TWWWf1eo7nn39esVhMF1xwgaqrq1VTU6PLL79c77//vnbt2pV93Ntvv539vfDDH/5Qb775phYtWiTTPLjZPZyfXSn3/Nq1a5def/11XX755Tr++ONVWVmpqVOn9olD559/vo488khFo1HNnTtX27dvl23b/X6PDhw4oPb29l6/+/bv368DBw7kvOpXOrz5/txzz2natGk6++yzNX78eJ1xxhmaNm1azucd7PvQ2Niod999V5dddpkmTZqkmpoaXXbZZf1+jczPwtV9Urdb90nd/hx68Ldx48bDvnrNCZ2dnbr11lv1j//4j7rzzjvV0NCQ/VwqldKOHTt6xU3TNDV16lRt375d0sH1Q1tbW3s9pqSkRIlEIvuY/mzdulVVVVX9LmFSU1OjsWPH6o033pB0cLu1devWfpcMCoVCuuKKK/Ttb39bF110kV566aXs78GTTjpJZ555pqLRqL7//e/r+9//fq/fKY8//rhOPPFE3XjjjZo+fbpWrVrV6wrhQCCgiRMnciKlAHRfmPDpT3/6sC5MOJRlWbIsS6lUqteJvkNPbgSDQX3605/WX/7yl14/C07O05kzZ2rUqFED3qC1q6tLkUhEV199tb7zne/o3HPP1SOPPKLXX3+91+Pee+89tbS06Prrr9eFF16oxx57THfeeadGjRqlG264QaeeeqpWr16t5uZmSQfnem1trUaNGqW/+Zu/0aJFi/Tuu+/qwQcf7PO8u3fv1nXXXacrrrhCL7/8cq/fZ7/73e/U3Nysr33ta7r66qv15z//ud+TkD31N9/Ly8vV2tqa82KX+vp6LVu2TNFoVF//+tf19a9/Xcccc8yA3/sHH3xQH3zwgb70pS/ppptu0gknnKAVK1aoqakp+xjbtvX000/ryiuv1PXXX6+9e/fqj3/8Y/bzf/7zn/Xggw9qzpw5uummm/SVr3yl14UOd999t9ra2rR48WJ985vfVE1NjZYtW9br5yUejyuTyeiDDz7I+X2B/23cuFEnn3yypINLnrW3t+v999/XUUcdpVAo1Ov3wGuvvaZjjjlG4XDY1WPnw9nXPNzjf8BNXMELz5SVlWn69Ol6+eWX1dXVpaOPPrrXW5qH+3gndf+yPpy1rG644QZ1dXXpnnvuUSqVkiTt3LlTnZ2d+vu///s+z7tnz57sf48dO7bPjlv3Dt/u3btl23afO9mn0+k+b/OIx+O9/rujo0OPPfaY3n77bbW2tiqTyci27U8cNiKRiEaNGqWnn35a06dP7/fqvWg0mo1W3V/Dhx9+KOngxtA0zV7rDpaWlqqqqkqNjY2SDgbehx56SPv27dPWrVt15JFHqry8XO+//75mz56t7du36+yzz+53fDt37tTu3bv1wx/+sNfHU6mU9uzZo/b2drW2tvZ6fcuyel2ZvXv3bqXT6V6PKSkp6RWzPvzwQ2UyGf3f//t/+7zOoWdjg8HggPEMfZWVlemoo47Sa6+9piOOOEJ79uzRBx98kH0b5uF87w/ngLG9vV0tLS19blIyefJk7dy5U9LBn9cJEyb0unKk59udu8fz/vvv62//9m/7vMaePXuyPzdHHnmkLr30UkkHo+mf//xnrVixQjfccIPGjh076M9ut1zza+fOnTJNc8ATIN0mTJjQ6+9LBw/8+7uav7/ffYd7QH44872xsbHPldaTJk3Sli1bcj53ru/Drl27ZJpmr9+LVVVV/a4JzPwsXDNmzMguBSIdPFD60pe+1G/IGOjg73DXmJUOBokNGzb0+lgmkxl0uz9+/Hhddtllmjhxotrb2/X0P/BGpwAAFVhJREFU00/r5z//ub7zne8oEolo//79ymQy2aUYupWVlWVPAu3bty/7sUMf0/25/uzduzfnW9xPOeUUbdiwIRvTpk+f3u9+U8/1cceNG6empiZt2rRJZ599toLBoEKh0IBvgZ81a1b2e3/BBRfo+eefVzKZ7HUFISdSCkOuCxO691c//elP91rWpFsqldIzzzyj9vZ2TZ06VW1tbWpvb1d1dXW/rzV+/Hh1dXVlr96UnJmn3UzTVFVVVfb3w6Esy+q1lMG4ceP0wQcf6PXXX++1hvCoUaN08cUXyzRNjR8/Xk8//bQ6OzuzVxafc845Wr9+vbZt26aTTjpJr732mlKplK688spsJF+wYIHuvPNOfe5zn8vOke6TkKZpqrq6OnsScs6cOdq1a5feeecd3XDDDdnt42WXXaZ/+7d/y/k19zffTzjhBG3ZskW/+tWvVF5erkQioalTp2rmzJnZixfWr1+vmpqa7D6IpAHXne8+iX7LLbdkX+uss87Sli1btHHjRl1wwQWSDh57dF8RKR38uem+0l+SnnjiCZ155pm9rpju/lq7o9cPfvCD7O/XCy+8UG+++ab++7//W6eeeqqkgyeeSkpK+N1R5Hbt2qVkMqkvf/nLkg7O7RNPPFEbN27Upz71KZ1wwgnZG1p3dnbqzTff1Je+9CVJ7h47H86+5uEe/wNuIvDCU7Nnz86e9e5+246Tjz9USUmJ2tvb+3y8vb29z9s4e+o+IDpw4ED2AKyyslKGYfQ6o939cal3EOno6FB5eXm/b9nuuSE4dH06wzCyV452rxt6zTXX9NnBO/QA9NArM/74xz/qL3/5iz7/+c+rqqpKgUBAd999t9Lp9IBfc3/C4bCWLl2q2tpa3X777bruuuv6jKW/r+GTXKExYcIEjRo1Slu3btXWrVt13nnnqby8XOvXr1ddXZ0ymcyAdw7u6OhQTU2Nrrzyyj6fO/TAeTg6Ojqyb3E89GqXQ6+k2r9/v2cnIvxixowZWrNmjRYsWKDXXntNEyZMyEbJw/neV1VV9bp61k0dHR06+uij+z0g7jk3QqFQr4Pqmpoa/ehHP9JLL72k888//7B/dnPNr8M5AXXoc3R/D3teod7T6NGjZRiGDhw4kP1YaWmpSkpKPPse92e4v2e6MT8L1+Ge1B3s4O9wnXzyyX3eLr5582Y9+eSTkg6Gj54B5pxzztE555yjyZMn99omTZ48Wf/2b/+mF1980fW1nW3bzjnvZ8yYoT/96U/avXu3XnnllT43keu2adMmPf/889q9e7c6OzuVyWQO+8aGPU8YhUIhhcPhPlGaEymFrb8LE7o9/PDDevTRR5VKpRQKhXTBBRfo6KOPVmtrq6TBT/h1/652ap5+Ei+88II2btyovXv3yrZtpdNpTZw4sddjDj1ZWFZW1it+mqap0aNHZ3+mu9eu77mfPWXKFHV1dWnXrl3ZwHs4Fzv0vLiguro653GI1P98N01TV1xxhc477zy99957SiaTevLJJ7V+/XrdcMMNqqio0M6dO7PrjQ7mcC9gCAaDva7I7XlByr59+9TS0jLgkiyfJHrxuwMbNmxQJpPRT37yk+zHurq6FAgEdMkll2jGjBm67bbbtG/fPv3lL39RMBjMnmDM97Hz4R7/A24i8MJT06ZNy/6iPJy35X7Sxx9q/Pjx/V4ZtmPHjpxv6R43bpzC4bAaGxuzV+SVlpZq6tSpev7553X66acP+HY36WDM2bdvn0zTHPJN4aLRqAKBgPbu3TvoFXqH2rZtm2bNmpVdj6ijo2PAqx4GM3r0aF177bWqra3Vr371K33ta1877DuZVldXK5PJKJlMZg+I29ra1NTUlN2h7r651JtvvqmGhgZNmTJFwWBQqVRKL774ompqagb8XtfU1Oj1119XWVnZgDvK5eXlSiaT2e9hOp3Wjh07sjvalZWVsixLyWQye0Vje3u7mpqasmvAdq/vtm/fvpw3f+jeWWUh/U/m2GOP1QMPPKB33nkne1a+2+F8708++WT99re/1ebNm/tcHdrV1aWOjg6VlJSooqJC27dv7zWftm/fnr3KpLq6Wq+++mqv9d+SyWSv56upqdEbb7yhsWPHfuIbCBmGkT1wOZyf3cFMmDBBXV1d2betOSEQCKi6ulqNjY3Z37mmaeqkk07Sq6++qnnz5vWZ/x0dHdm/N9h8r66u7vM9PfS/P6nx48crk8movr4+e0VGU1NTr0jdraGhgflZwA7npO5gB3+HO59KSkr67Af0DMrl5eX61re+lf3vgdbOsyxLsVhMu3fvzj7ONM0+0bPnDRa7/3ffvn295tO+ffv6BKlDx9cdjQb6/DHHHKP7779ftm1r+vTp2QPebtu3b9c999yjefPmadq0aSopKdGmTZv0zDPPDPi8h369PfV3smX//v2sQ18APsmFCd3OOusszZo1S+FwWGVlZdmTgoOd6Ou+uq17n9epedotk8moqakpe0XwoTZt2qQ//OEPuvDCCzVp0iSFw2E9/fTTfbYv/W23+/vYJz2B6NRJyJ5yzfdIJKKZM2dq5syZmj9/vv71X/9VL774oubPn/+J1q893AsYcn19g73eJ4lenIQtbul0Orts3qH7tXfddZdee+01nXbaaRozZow2bdqkLVu26IQTTsj+fLp57Hw4+5pOHP8Dw8UavPCUaZr6zne+o+985zu9znQP9/Ht7e2qr6/v9Wfv3r069dRT1dTUpDVr1mjnzp3atWuXnnnmGW3atElnnnlmztedOnVqr3VBpYM3SslkMvqP//gPbdq0SY2Njdq1a5deffVV7dq1K7tzNHXqVE2aNEl33XWXtmzZoj179mj79u3ZGx4cjnA4rDPPPFMPPfSQXn75Ze3evVs7duzQc88912tdr/5UVVXpjTfeyH4vVq1aNawdzVGjRunaa6/VqFGj9Ktf/UotLS2H9feqqqp07LHH6v7779e2bdtUX1+ve+65p89dm4888kht2rRJEydOVDgclmmaOuKII/Taa6/l3ECffPLJKi0t1a9//Wtt3bpVe/bs0Xvvvac1a9Zk108744wztH79em3evDm7pnDPq7rD4bBmzpyphx9+WO+9954aGhp033339drRHT9+vE4++WTde++9euONN7Rnz57sVRNvv/129nEffPCBLMvq87b+YjTQnOxPKBTSscceq3Xr1mnXrl29DuAO53t/4okn6sQTT9SqVav05JNPqq6uTh999JHeeustLVu2TO+9956kgweuTz31lDZt2qRdu3bp4Ycf1s6dO3XGGWdIOvjzZBiGHnjgATU0NOjtt9/W008/3Wusn/70p7V//36tWrVKyWRSu3fv1pYtW/S73/2u11WxqVRKra2tam1tVWNjo9asWaPOzk4dc8wx2dca7Gd3MOPGjdPMmTN13333afPmzdnnOHTNwU/qqKOO6vO77/zzz1ckEtF//dd/6eWXX1ZDQ4Oampq0YcMG/fu//7s6OzsPa76fccYZ2rJli55++mk1NTXp+eef1zvvvDOs8VZXV2vq1KlavXq1ksmkduzYoQceeKDfg86tW7c6FsPhvO6Tuul0ut+Tuj0P/r71rW9l/9x4442qqKjQa6+95thYLMtSVVVV9s9AgTeTyejDDz/MXskXCARUU1OTXSO6+zHvvvtu9sTHuHHjVF5e3usx7e3tvU6O9CcWi2nXrl05t+fdN6OdOXNmv/tN27dv15gxY/TZz342u0bgoSeAA4HAgFf5Hw5OpBSGnhcmdHZ2HvbfqaqqUnl5ea/9INM0deKJJ+q1117LXs3bzbZtvfDCCzruuONUUlLiyjx9+eWXdeDAgWx8OdS2bds0efJkffrTn1ZNTY2qqqoceUt0dXV19grUnq9lGMag69L3fI5MJqMdO3ZkP7Zr165+32HY0+HMd+ngSaXy8vLsGCdMmNDrd8tgr9F9Er3n77vun4HDEQ6HNXbs2AFfs2f0OvQ1esbc3bt3K5VK8bujiL399ts6cOCAZs+enX03X/ef448/PnvvjZNOOkkvvvii/vKXv/S6R4ybx86Hs6/pxPE/MFxcwQvPfdKz9ofz+Pfff1///u//3utjp5xyii6//HJdf/31evTRR7Vs2TKl02mNHz9eV199dZ87zh5qzpw5uv/++/W5z30ue5BUWVmpb33rW3ryySf1yCOPqLm5WZZlKRqN6qyzztJpp50m6eCZ7cWLF+uRRx7Rfffdp7a2NpWVlemII474REsHnHfeeSotLdVTTz2lPXv2qKSkRDU1NZo7d27Ov3fhhRfqvvvu0y9+8QuNHj1ac+fOHXRHcjAlJSVaunSpli9frttuu63fM/H9ufzyy7V27VrdcccdSqfTOuKII7R48eJeVwMceeSRymQyvWLukUceqTfffDNn4A2FQrr++uv18MMP6ze/+Y06OjpUUVGhqVOnZq88OPPMM9Xa2qp7771XhmHolFNO0XHHHdfr+3HRRRdp9erVuuOOO1RSUqKzzjpLzc3NvTbaV1xxhZ544gn94Q9/UEtLi0aPHq1JkyZlg5108AqSGTNm5Ly6u1jkmpP9mTFjhlasWKEjjjiiz9qwg33vDcPQVVddpZdeekkbN27UE088kT2QmDlzZjYUnX766Wpvb9cf/vAHtbW1qbq6Wl/5yleyV/GFw2F99atf1erVq/Xv//7vqq6u1uc+9zn95je/yY6loqJCX//61/Xwww+rtrZW6XRaY8aM0bRp03odDG/ZskX/8A//kH3e8ePHa9GiRdm3ph7Oz+7huPTSS/XII4/o97//vfbv368xY8Yc1l3Kc5k9e7b+8z//s9dSNqNHj9YNN9ygp556Sk8++aQ++ugjjRo1ShMmTNDnP//57OMGm++TJk3SF77wBT322GNat26dpk6dqs9+9rN64oknhjXmL37xi7r//vt12223qaysTBdccIEaGxt7zeHt27ervb39sN+6Cu91n9Tt/v+H6nnwd+i+QffBX/d22C2PPfaYJk2apMrKyuwavB999JFmz56dfcxnPvMZ/e53v1M8HlcikdCzzz6rzs5OzZo1S9LB31lnnHGGnnjiCVVVVWncuHF69NFH+5z8PNSRRx6pzs5ONTQ09Foqoadp06bpBz/4wYC/R6qqqrR3715t2rRJ8Xhcb7/9dp8bsI4dO1YfffSR6uvrFYlEFA6HD3tJmD179uR8uza8demll+oXv/iF/uM//kPz5s3TxIkTZRiG6urqtGvXrl7LBgzm/PPP13vvvadly5bp85//vKLRqPbs2aNHH31UhmFklwQZ7jy1bTu7BmZzc7M2b96sZ599VqeddtqAyztUVVXplVde0ZYtWzR27Fi9+uqrSiaTw76K7uSTT9a6det07733at68eWpra9OaNWs0Y8aMww6g48eP17Rp07R69WpdeumlMk1TDz300KBXvvY331988UXV19fruOOOU2VlpVKplF555RU1NDRowYIFkqS5c+fq//2//6ff//73OvXUU2VZlt5//32dcMIJfa6O7XkS/cILL1QsFlNbW5veffddTZw4UUcfffRhfY3z5s3T6tWrs0vtdHR0aNu2bTrjjDN6Ra/Pfe5zqqqqUmtrq95++20dd9xx2asht27dqnHjxnH1fxHbsGGDpk6d2u+x//HHH6/169dr586dmjFjhp588kmNGTOmz0lRN4+dB9vXdOr4HxgOo8vL2w4DI0hXV5f+67/+S5/5zGcGfEsY/Kmzs1M/+clPdOGFF/Y6aM+lra1N//qv/6q/+Zu/4W05GPHuvvtuxWKxYcfifGlubtY//uM/6tprr82GppUrV2rixIkj9mvyq3vvvVft7e36yle+0u/nf/3rX6ukpERf/OIXdccdd6irq0uLFy/u87hkMqn/+q//0o033phd5uCWW27Rl7/85T5Lt9x2222KxWJ91qjduHGjHnroIf3oRz8acLxr167V5s2b1draqlGjRqmmpkbnnXden1D2/PPP6+mnn1Zra2v2tXq+u6Orq0vr1q3TSy+9pPb2dk2ZMkWXXHLJoFcFrly5UuPGjcve/CjX1ykdvJfA3/3d3+m6667LxrE//vGP2rhxo1KplI4++mhNmjRJjz32WPbrTqVSWrVqld599121t7fr8ssv1ymnnNLv6/zoRz/SRRddpFNOOUWS9OSTT2rr1q1asmRJzq8D3mlpadGTTz6pd955p9eFCSeccIJOO+207EnpW2+9VZ/5zGd63SjrUG1tbXr88cezc6D7Pglf/epXs1e5f9J52tNtt92mrVu3Sjp4Ff3o0aNVU1OjU045pdfVu3v27NE///M/61vf+pZisZhSqZRWr16tzZs3SzoYZktKSvTOO+/oxhtvlNT/75r+fhcc+n348MMPtWbNGn3wwQcKhUI6/vjjdeGFF2ZPovT3vGvXrlV9fb2uv/56SVJra6vuv/9+vfvuuyorK9N5552nRx99dNDv96HzfceOHXr22We1fft2tbS0KBQKKRqN6swzz+x1cuj999/XI488oh07digQCGjSpEn60pe+pFGjRvX5mtPptJ544gm98sorvU6iz58/XxMmTOj39+LmzZt111136dZbb81+7MUXX9Szzz6rPXv2aPTo0TrhhBOy0bmjo0OPPPKI3njjjV7R64ILLsie1K+trdWnPvWpQUMcUCj629cE8o3AC+RQX1+vDz/8sNeaoPCfHTt2aNeuXUokEmpvb9fjjz+u999/X9/73vcOey2wuro67d69WyeddJLLowXct2fPHr311lvZ5SsK3bvvvqvOzk5NmDBBra2t+uMf/6iWlhbdfPPNsixLqVRK69ev11lnnfWJ1icECs3OnTtVW1ur733ve5/oan8vpFIp/d//+3911VVXacqUKfkeDjywYcMG/f73v9eiRYv6PcGA4Snk+e6khoYG3X777br55puHfF8CwG2D7WsChYDAC6Doda+jtGvXLlmWpZqaGl100UUDvgUWQGHZsmWL/vCHP2jPnj0Kh8OaNGmSLr74Yo0dOzbfQ/v/t3fHNhCDQBQFKcR9OHH/ESEZcgXQA1fAZSfb5y/NVECCFj2ChcvVWsu2ba+bUXPOcp5n2ff930fhQa21MsYox3H4QLvBW+/7lXrvZa3100JteIq3JgkEXgAAAACAUN8bLAAAAAAAiCDwAgAAAACEEngBAAAAAEIJvAAAAAAAoQReAAAAAIBQAi8AAAAAQCiBFwAAAAAglMALAAAAABBK4AUAAAAACCXwAgAAAACEEngBAAAAAEIJvAAAAAAAoQReAAAAAIBQAi8AAAAAQKgPFGXFuvMg1OQAAAAASUVORK5CYII=" width="1024px" alt="Benchmark Comparison Chart">
|
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+
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+
| Metric | aquif-3-moe (17B a2.8B) | Phi-4 (14B) | Qwen3 (14B) | Gemma 3 (27B) | GPT-4.1 nano (Propr.) | Mistral Small 3.2 (24B) |
|
37 |
+
|--------|-------------------------|-------------|-------------|---------------|----------------------|-------------------------|
|
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+
| MMLU (General Knowledge) | **83.2** | 84.8 | 82.0 | 78.6 | 80.1 | 80.5 |
|
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+
| LiveCodeBench (Coding) | 28.6 | 25.2 | **29.0** | 26.9 | 32.6 | 27.5 |
|
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+
| MATH-500 (Math) | **91.4** | 80.8 | 89.8 | 88.3 | 84.8 | 88.3 |
|
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+
| GPQA Diamond (Science) | **56.7** | 56.1 | 54.8 | 42.8 | 50.3 | 50.5 |
|
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| **Average** | **65.0** | 61.7 | 63.9 | 59.2 | 62.0 | 61.7 |
|
43 |
+
|
44 |
+
## Key Strengths
|
45 |
+
|
46 |
+
- **Mathematical Reasoning**: Achieves 91.4% on MATH-500, demonstrating exceptional mathematical problem-solving capabilities
|
47 |
+
- **Scientific Understanding**: Leads in GPQA Diamond with 56.7%, showing strong scientific reasoning
|
48 |
+
- **Efficiency**: Delivers competitive performance with only 2.8B active parameters
|
49 |
+
- **General Knowledge**: Strong MMLU performance at 83.2%
|
50 |
+
|
51 |
+
## Usage
|
52 |
+
|
53 |
+
```python
|
54 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
55 |
+
|
56 |
+
model_name = "aquif/aquif-3-moe-17b"
|
57 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
58 |
+
model = AutoModelForCausalLM.from_pretrained(model_name)
|
59 |
+
|
60 |
+
# Generate text
|
61 |
+
inputs = tokenizer("Explain quantum entanglement:", return_tensors="pt")
|
62 |
+
outputs = model.generate(**inputs, max_length=200)
|
63 |
+
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
64 |
+
```
|
65 |
+
|
66 |
+
## Intended Use Cases
|
67 |
+
|
68 |
+
- Mathematical problem solving and reasoning
|
69 |
+
- Scientific research and analysis
|
70 |
+
- Code generation and programming assistance
|
71 |
+
- General question answering and text generation
|
72 |
+
- Educational content creation
|
73 |
+
|
74 |
+
## Model Architecture
|
75 |
+
|
76 |
+
The mixture-of-experts architecture enables efficient scaling by activating only a subset of parameters for each input, providing the benefits of a larger model while maintaining computational efficiency comparable to much smaller dense models.
|
77 |
+
|
78 |
+
## License
|
79 |
+
|
80 |
+
Apache 2.0
|