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xWKNNt+k0y/4mq5mYK4/tjsPmAAnaN+dp8UcpMFO7bJvOx8w7iL7lk+BE4n6EslAEdys2VtwJWCkml6mn6G7e3AE4WjpbJbv8jV0wN3tV+nDIgNZtqAyIAflDXfb/XS3x5r5aobuCrxISOEH9XTxeb3Nd/OlakE2mu1S0M+MXDKFru6kX2cp6ZW8D8z/szQPt+kW8xSVn06366IwdC4Y7/Js5qNjCMusoFaBbrF4bjjO6N3kpv9+MHR7buUM3PPMd8/e9/8xeTsYUPHqRhVffxjix+C6/2E4uJy86X/A1+vO5CbAwvDql5v+9WT07m4wfHd7TYyuuxJ5eXU3uRy86f+ToGEgwf03IxMcala/DUx4JOGj23+Y4Jhbft83EU2JuO6/f31pYVpmC6+vBzeXJjYx2jlAtg2ZD5BKCR/e9UeT/jV8CHj3AD65G4z6V9eEjoJD9BCMIZBKG3c4IEaTjwIaGRq9ev8BpXn/8XokkEojv/RHg4lQCyOVVtCkSCCgSiOju/7lYEI9v70dyipKIcNR/3ow6Y+ACNp7C0+Bb2sRR9ofoo6hRQ3sWs3c9UdXtxoZB7a9NFz7w2jwYfLm9uMNtxIrPbzuDwfKQ69j2yXe3A7eCnjJIxihuv/2+vZ+Ql7BONMdGNo2oH//2L80UB3DRRhqjgENbQYG1GqgGVpKt2tFVv/seqrv6F6Tv91IlTSbJnh4ffthMPlwdzsavBE2brYO8dLQAq+08Nvg7lZAVIeoFGLp9magARGVWtqmWCKit/3r69f9N3+D5q/eDDRO0qteX91cja4gjlAPNSrUpcgkEubUuFiXmjar3wYa0xKlqNTcnRoQiAl1KdKlWJeIN6jwzWA4nPzav9MIZp3oUluU2lobbc2+rdl3NLajsR2N1epudTVW6znRek6Unq+TWMO03yfKzNftplmiGtAJDueaYUcz7IQapit3NMNOokta1K6u0dXYbls7L4TPN4PJL7rRrtZAV2lAEXGQ7WruYRBYxVAWVaOj+1sJiUpNgmcPbj5i9LmRFC3m1LWKkqmefKCYcLFtFSVtxGJFgQWNZJE5cOy8/TjiCBbGLEXMUuigAMXIqqhm2lCPf1EMmeRmcM/wiIuxLHKLTW6xxS3yAAxb3EirycWWVSTaDx+H77R9Q3bTUPspRTZNwIyTWDfHXhu2I6soCdptM37TtCwnZCbvMHmHW2H/DdmBw07bKqpqHYYq/6QGMWpwH9jpqWiQDcDr2Oe6kSl0OZ8idMhFabBu06z05vbuDiI4sJy8v70cHINDAL/6VToVj69QD7D3V8Ph1c0vPIGEeoBplJq9ebxFPN6ioMnQxCqGXIxkfoCzi1CXai8K2geTr+oMIDvMUYks2djTNKEjWdSuHIUsMo+6SOchYnIdYsP3g6tf3qkEKrbwb/vD0QFedq7JDeihJwWkDIq1x0Mp4qEUJSxVwipL2gxVDqjyLs2wzU232RxtbqbNzbRjhsYWNOJiLItsUD03iKKibTFBiwlaTMCdanOn9KjCiQaMfXsn4WxjPa4gVdRDN9JD4QMqtDxSoi73rct963IvutwLPftAuhlxUTtMzA4Th6Ftz5vbq6FMMPWiA4otLirmt685JYj1dHA5uBlejf45Gb4BpzIBH27vB4qYhYpUr28vL4dcCRC68f7dLwPOa+KoaSGonk78CRtyMZLFljk3jg4qtbhSiytpi8U6a3/fhzyIrRrrtF0UJRMeLlRUUNY/Z4yxThlxMSm7yIMo5kEU64wQMlAcqAyNuUgJ298nb6CXStst1jYnfLHO+P4Oc2bfII252ORiS5C+v7pkWMLFNhc7ssjOw7MnFcVccftRtcmuxaljzLljzElhnIRWURLwfBrzfBpzPhi3jWLLKkraNjfMc2XcDayipOWBGPPoi3n0UTHiotRn1+DLDXfZ3bCoaBOmTZg2YdqEaVn0Luus22baNtOyR+upURQjLipa1nq3y7Rdpu0q2iZPmU2eMqkYyWLIBBEXYy42udjiYsJF6qaHWzi/9q8/0h7OatOgfc3Kp7AR+G7QCPFBpSAI4KWDLx0FgYSu00z46btJS5K3W77bbrSyWtjG11bsu61GfOK1C5y7jVC9Jl1g1OhqbBex+rUTdVCEqKMAQStEblg9IfpOCyt0dOMRPKNGW9MDVaKIw8h3w0akcfLR1I92I6IHUHQICaLHqnYMLUG8oSqgsZZ4atKo02pDxq2fSCyaiFBiqxRCx8RTVE+odfEk7TelQFSFBQ6oB5HANDtNeMOnrIbCKvFQOpCV3kDbnSYgu/ihmkC+SgWg0jCQLwkqFB4KB28thSNlqpcucmSzYrUO+4DSbagf1HKLEYH5keied9GeKDn/CcsQAXqDaKJjdSQ4qBDKplCTosZRqkR8xEJPQdTK6gHQdqFk0TVL0uMj0t1ibKKF7UiW2EdmEcaah/UIpBEOBDwE/fgRnnqYyossd5Pv0o2kyx+xYnTsPTSq4muoOkTeqOGx8QTfQQ0b5qfYE5qQsoSGmcJmudtRyxzEUblHh/qBXjYhK0/a3W7YjZuw2ENDlkCGEoQzdUyXEZHDoDnmXrH9wPAm4psMcOa4P2oOfoRdcK046HQCmL5gvd+kANJNLBjIHInulf4wGpWAUvYTYJbxaN/jJIk7qMNuCDkaRDxkVIK1DV8zXafTiSMQt9UJYdHa7TSPwGIRFk+Y5EeWUjMSDEIFPebQFEsT7JDoVtlFbXcFZwbaWFAdPEsBQdjxL4cFURuiTsca7KWxb3huYE7Mgls5WB0DnuhcF1pOkPpkkIkaFBRBvMjm2NFd5BLqCiNucDRsyRnqCErNd2FQilclRUUHM1Z4Mk6GJ8YjzyfxkQeYAl2Pp6x2VCrSo9nizKHFITHQFg9LNjuWbpQ8Jzzo5oEPBEcD+5EJIOowQJQPoox01IifARfNgRFw0UoJTcM37e4dDPq/8hj77mz3vMl6kJnK83MPj6Gvlsv9js5O5SHpSz7QdPGwOaPzymWRLZ7wHHPxNX0u3Ol6mYlz99G7hnPfv4SUN3DkeSWUQ0ceWEI5cowNA3hvOuUjSgAmjj6ahLeOo08kkVng8EkkvkeOPoHEV2KoTh4RkDjmiSNCOk75pBEFC5zSCSMCI6d0sojApsNHg/ieOAcniQjuOKUTRADGgaNODvEtckonhghsOqWTQgQmjjohxLeOUzoZRE2CYg5OBBEeOfIkEF+ajjwBxJfEKZ38IbDj8IkfvLeQrXnSh7DIUSd8+KZUjrt/+K41rgAdxz7JQxMLdas3YUR9coegpqNO7PBNuIR66zjmCR1A2qrzBlU7cuwTOYRB/9VJHL4mzuEJHMI7zuHJG7pi4OCJG5Yi5/YGWXRajn2GhrCuY52YAagbOfb5GMJajnkahpCOY559kbuHjnGsRZDEkWdD5P6JYx3dICxuO9ZJDY0LUPj9LZVazpGTF8K0HX3wQUMncPR5Br23HH14Qe/g4vJEAV/bXUceH9Aoixze/ydA17H25xHWVTC1GU8jUda0I0UUNJ1j2+yE6jjHd9oJ2XXMbXUEQdAwttMJ0nTK++E0/kPH3gcnYOyUN70JnDgHG9gIh1F+sHFNcN2k3pomMMQ73lumeNNy9B4txZvYKW+9ErjjmFujCAI/lpufFJAg3JibngRrOta+J8FaDm9yEgBjgtrcREA3cEqbmgSNnPK2JYEhdundSIqBoUN7iFTuOnKXEN/C2FFbgvSaOGLTj2Jl4NC2HpXBFW4/EjgOHee/6B7VLHt0J5v118rone8+pngbzHezbxvvhePCn7ipBVVG7z5Bk2MCfp3nMNkBkXuBcBzcY0GOf/kjXg+qIA/3P92QEQa/ak+2pZHi9QgCm+nR7bAG3TZDxu45tgsjc+xJKXf77Uoyt3oGs/JqRn1LfffBd7/KfoGQD+5Fz01ZPMkkdWtu5aGeetWvjgWuu5W0/oBgq4FU8l/ufffJdxdr353nspWf3eF6kc/y3bO6KYeXuypPbhXyuDjx3N3aTVfqNpWPWQL1YpouIFF4eAaqsNMgVsUMtbCHmqQKwUf0Pg2EfcgOAhIeQKIyBK9m/Y6Xybbp6nNWaXuWBX93X7mxbToyw75eQc2jI47rv3tVEAuoQa4L9wCRLYpM+g266phNCohjvGuV3+uaCbLQNF+F9MrNx0LEHniyaKVCSHR6RkUu9RBKTZMIBgPThJqmZYo79jzd9CzHe4HTDCRYrOsbrLoB5SzWkummPs8F8AIMr7mQopnLd6iuOJ0LpcGTh49dT1db5F+yRT5fr2c8BM8rslCDTxzQ4+r36nfP0BUMIq6o4eAmtZ77ld9Deq9uuKvQSPpQQJeWe+98uWfSSJDOqoLdEgnD8zRwzGpLs1qRTdcrwkSKTo6kpS+RdWBHihCkFy6+Kz3o2D0uRaoCsuocwoAx5tYPBfDcrHc+3gGdiNJDTjcFv0BUy7cFAAoIWitE7J/x5XvGoQD8t9c7EsoQTowV4RNY3hKOaZ+EhQy5yYBrACuhqspydRBOGAw8hvHasnWQ21NtkvjW4BQ9Ed6D5HQlUzE5GpPFqEs3RUZhJF9VlDaAtjwtGm4rOlajnhkJ1bhakdzqasBYVcgu0NCp6Oj8iLfwsAndIV1QXCDIE0OeLNX8ee8VM99k8kPZgDfeVy2p/jHDKAC2o+lj/yycFWxlGgeJSAidFJbssFpvl+lCOha7BNTz2AGs+p7Vnl3NJjy32JVn3ny2p4ZxsAopygNdyJcXmXBmMzMa1xSHqipY1b6gYc4rTzWqX26bRr4xG6POhQi++8UD/XOP8PUgEKrYIUxloTPZI4gCZnd26126mKAXPmGglBmdqILROKtm55JGRLFsVeBE3eN06CDgfj+HkpUNjoWwVjYoB8N6Nisw6gu+VeSh88PxOc/iUgjteBiahAdx+mi4ELGt9hiv08axcyI+HK1cTjrHRppRzjC+5rPdHK9Vz/P6Yq1VbE+NECxFKDUmR8gXxOxIGcLx6fE7jUTkridINKOc/ZdpgVokCc4r9FGTuR8kCJ5hG2JTFR9amVSdYjZn02ZkENxtNFvvvEcUBNhs1w9AinBuFN9EW18m6faBhoDpVEsJLXk+TVhUQ1ReZpAF2lQ6ZBELn5oXxA/Z7muWrdSki+i6ItemeUq3uTQN1qya44varel34lxVkbFG5CWkbFJ96tlQNXKhZj6cPYwpkYUw8FYuAB33NZ3opTXfT9cQ2PNVvqsMcaD57rfAd58DnV/3C0xhVZYNml0tnl2kz9MFjKOZ+IYFfXcADJl/XuH3USC9XuB3Dei7M0ORXw8/BWMhp9qkGUt4eAIej0vLouGnFoKeg/NvAaoHnkcSPHvfQ9VMJDNrB0Qh2yWk2AtR2M5B1d9Y9lYJiet03YH4RzUV8mBqBlwTcdhd05aminxbYQcWTR8hi1MmvffdvJhQWpYu1/vVbvJNlwC2y5cZxIXlxnfld6cQr4rP0hUgAXia4NTcI1MyDKZngoUyIUuL3WRXECgayzC2zab4LRgCxnLBNN3Ra1Oymqc7s8/gSsuUAIniu6TXtsJ/z+i9M5az0bdJJmt0BWiKHRSiSXnxe1YCIFvdw6DY4ldpaF4io0juFOB7rJu66hf4nQaC+ynw4fJilX2dQC69MblwBZ0FSaoXTimNnOB31I4I4BxPN41a5BvH083lflGaf/WWNriU5OGZ2Rbb7qJ3ON2VravCdkUDdf5ahbZ/sEB9yBZr7K8OjJqDXfNEi3VRH9M4KrzSqfvxdR96X9XWhN7OP6YJcrdSBd7wP1ZDOWSpkj4VOKFv4bRGWMOp23SJU6uPfEW+jb5APM7LHsH756XFhBhZ8KwylRCxhkytVNhCMxt7HKEMBsQ3Jyeuo4anvWlCC46eQpawtADpcWg61/EKVccv5VkBg4sacCLQHFuMyhCkl6NiNaLjHm67URSVPGXsI9LP6ZJij7E4UEuVH3kikMiax+TBr93lNMC1SPa4sQmqglVJTFr2EoYD2xSWcrgDVpperfXe6RT3s7XAVePb1ymv2vIfe+XdJVKNPYKM4wBg8dkYcGKuiMbWuvy4ohS9NjO5FwaTwky0hB29GqeXdWVEzzuXOW/ZG4yUESG+O8U9TiMuHNVn3eiccZox5i1PmV1KE9aRt3dObSof/eHeVboAGpk/6OO8MZtQ1Tg4Ahzbm0d6EU5GN0eddosiXWLP3qbAUmTum80aVlw2UG8zsVn2OPUpH70omWcWignXNjBA/+OkhYUcFaypJfSwvN9YhIZ82D2sZzkRvNucjyqTzkbHJ/aISHA2Nw06u6PaAtqpPqck0jL9VqHkBqNt6UhVjCJ1pCoHkJAOphHL15jlUQyFw537qkc0BzEOP3hoUAteTfagSq+Ki1Ym+gftWIhz4vHRiejUoAF9haJzuv6p7TcxNjDAQElWGZXiiUoOtR6Nw3XcRrHnLBN5uPtEHTuyp0RwEVKP9dTeZCK6H20ulUPyyf0lDtVlc2nC2+vLcU20z8Cbwb1cLKRfYcqH7AgjjMzx9Tz5bM6Tzz8OMZgs+641j8O6diKX6aWN4iPE0p3UxjEFc19Pp76eQA/2j9VaRffEs5ZMRiPWcglFkBoQvScfUjxE8mXfK2BvEFUuxJxkX/wwvXtfzDVfqFCV+bNxU0I4uTp+HlupnejX6eQZ+er3GjamM3Sb12H2bLLh1JvktXN40YfTOXEPn1WZDRsXTGBUUY9Nty2TlLLlHn1UVaL8J8wOaA64iZzje6a3DT218JNzKfrZ/3siFdWRN5R0hs765nWlLFUlidUfwFm9KRPIU1Sxgg0TtQJWy9O2nmcI9spN2s3GC8MwAKz13LDBbLbLWkVKVN8uvXOkUcOB9jq2S/VKuxsaj5UWOe2GpSJMb5e+6hxdnQyjpJsEYbMTtJNW0AkT1sQfp6qFjajbippBuxV3oiQOg6Qlq6k0Xy9MalbGaF3iURu72/wz/ubHRK9MbLDhXkpvuO+jr3Ucn5u2Yv6lPRs+cYDF4oQ3CuImo3DrbKK3GeLYSlQEs1Opimzq6LaQ2jdl7qe4mAIc3UQ6uYVQWg9yJ8+NUynr1sv44DwBf0mG4omZsNu3YsCEpZOu8gUZ85zXUAx+VHUbpVWmhttVLUsdxC7xmzpGAq6nqoOUWCe2wju3GBthmaw5iIKpYNWx0hWfsTTd8Ts+ZWPmRYG/QCMtklFgNC8AqdxP3/8pmeSkpJx2yDa8Y95d6x1w4EPwLN2uhHBmECsZ26uWqpn+ae6sK7DvyplX8ffM/Jk2TtERDGAsJnIttYmiuV/zNtPFNF9MTMficzV9aWpcpjdCiGlhfaFqbA5L4Tq6baMBfdPKuFFAMcvQBwB8U0y/FKwOJjqjrlQjy3y8MmlM1sZ9HK2hx4dUHTXqzeKaTolJ8Col0TVjg4igwKZmaUWAdUuC/ZL2g6mVmpo6iU7OMgqor1AKzB/iWZNJhEBA4sFMa/IIzbwoKUVVvI1dYXPCMHeHrRlD7VgXxX6bmXmSsbMpDyqfrDTKWOTp6mYw4a1K0faXTO53qFuf4yqwrEkA9waAVTmB6s0pyZ9jh9hxR53UkDHnBLTrjvA6NYhhDhV3Ido/THTspJGr22y5ub/IttjBknNiL1MO7huOa5icM8q4cmhy4VxMp3OavXeui0eytGKeP8rob1+4BZ9RrEXOtdttRZ5LVVgk83oyn/PShYced9K2S01yKWkVnnXVDqZ0ALzQDf8VwxzwFVaBp8n3gcxymm+6oNM4DOpy9Un7erJLlCfj5awKroTLBK8EXmelgpXR+/W6kPouXfkeVynoW/mJtdQWVS+M2w/6nmlpyjQaOaD8s3WVNA+x+MG6SWqbyaDepFisNzJoHl7DPh4GDq9lSxsUX06wU2R/xk41qy9V5vJWm74wPi4HCwtZq6DbWCCvqnupDUw+eoKr8OoSV3TyElfdWYdlwcGMO1604pd7W7TRId7ElzHURhe1o2rQzsCf1Dh6eUv0BZsnd1P6OnVbSOuMCQyH4XEGXJGf1tQpflpbJX6nORn3qo9p3UQ7WqoTvTzOS/fxgBdwuseD+QtY+BmbW3MVzWE5KGJ30IiNldRX8fXxbLnZPVeilmeixDk/TdUWmI751QStgNHYXMgpKOV65tSoEE2xlN1ZQMok7TlYoWglLGaS1dw7X80tbFumoPm6vEVXt4MYEtMtALWqsDBdxISN0kojaNi9D47tXWksKcdYTHUa3nmnxCEaW9sHGh6LbsiNLhtHCrNzaYKTztRenI1KNMq8eEeotpKST6VBns7Yj6OGcedQHtOZO6Nho07f/zuxGarRpf1PapU0X3k6ZkXryEov+dCZW/aoHEo29LWyCl6f113AS/RJqxUbXvyze/XanS7W0y/iZku+mmUbyMnxRGz9COuZz+n02b3qnxWSMdE2/kys3jG5InIMLc3piVPtRZsDVbIg7/l3qZvcWe0c24M1OO5Nov2j3hRFJ70pio95E7Thh0nDjigRuXGFelrHLkA2iD4GnRO9R60cDLv5g0/HOvMsnVXufTwHJ216pbhozFG1+UM1zOpN3Afz6GvpXikgG9NTbZ4eJZY3nZQq5AUn1f2hiHm2wWlz3Dzolbef7Kg2tOOfvA6lj9XkJSeOvPJik4q58iaTjrZDEbnMODuUcYptLO8eqcve+HXMe9Jotn3hZvSLtjN/5c/9VYY/tEtfsHjM0h2mM/ms+LTCTaL9YpfjYcCW3oHF+vGxAHrCUhX6WWVg8cK9Dz8BM4A/QAE+7qNPkY+FByiMG8ZNpwO7inEhhRE7CD0c6vdgAc8XpUiXYplEfOvpmUxuOeE3N3L+5sbK+ObGYz6TLJu1fOy9XPawtIKycSlvsc966LZAPD6ngYaeWsG6vYi+ESGKkUcDe9nrxbH6Gr7wYlW7yrPlt0/5uIfe12z46IB1+KSmaihBVEUZ5G7bLF/25gCIq/NaJLZOe014W+G9nKXYMlT66UUkA4caMYrk5XkcQdDDdQ3q1aOxr4ohf8UFf96ZdTU3dPWdaqIgSGPsuZ5Wr7g7DBk51sRa1K0q9t1ga2ghaPjfjT3G+YOqjM3ORcPV74xPTXxUtSmkr1OvrSt1csdbXaYEpeOl6hd8TRMgGN6R4OD7TgisVYimjmWv+kV/q4NY1gmnwEatOl06mcFqjO6vqviGP+JDuznqx5jV7zJrhP6JH/1zP43pevNc8ZwPIwE1yMyeFrCY3OnroPel26Dqlrl1Z/TDSFMdctLXEP8tVxCt9jVrFOBfZI9RDX+NHX/KHX8SHHdRF5naX8VTdfotcfEz5fIHtOnXy4GefjEdh5C6I9sQv6i+SXfzRf6gflP9g/Hr678XENBJS+IUFwIy5KjZlD1KrMnzlbiuTUh/lk/Fih3fGp+zXeXsCSIqTA5nHt6aCM2jDvyGwa/oVoPtdr2tnKnfnC+mczzNkhUhMsOIf8jc8EwuqGZFD9l/OpMxfAKQs/FLd9WDEVCBF++lO5ck83wGGdGEflafaCCiSxQWz8Zmb8JXvdWrXtLEDpR6N8eATD2zgLAoX3iKHKrPsfqP+rjN/tjDfAmpeAPayVebPV5MBssIQcXv/5/xpsbquVKSJD8mSW5LErzq5a+iFkcxVMqPxDJmQ/wvATCfk48Bi9l6usd/IgDedNU/h5RTkhpCotZRmZ5Q2sqthH5U8gK84SFcoHImPPfMqtrrhSJ2nFGEv1oNd9nm7Icyr1cZmhP/EUIhR8NLd/d1TTamf49gsMKZDWcOrAA+JV42W1Sl7Ai6+h8iBPowfDaZv8iX+c4QIcVJOC3E75EJwsOfgjAX+Q3i8x89+lC2QR6LRQU+8uIRA1RWST1hOcCgveHjoQDgRVmA43rIVyALJIlCaGhjJdjKkA+Mp+vs8TGf5rg0eIB4MzvzyhMANLpFTCX1E6+xgzBR7Cqe8e3fHg7tihyTvdA3xl6PiNHFfHO49eY+Wl2ONnIAyKv4a1SivpF39f6o2OPawEHVysr3/DDreodMZKp2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rGdN2cIjN/WqxWw+3hRU3hZdcWRmdghzjw3GxlhfeEnXc+YefgheDOZMb5V/rPDm/+4Hz/GqxLHOVFnoD3i7slVOQAl+Diih1odgaGqS6TRlCZBrR+OVom66Rx4kKsVkmc4DbuYSA0nGqiuHg3u08e0PjewyQeQKI6glOuBWb7YHkZ6GVf/DNDPAOo2YMPQ90DzR4ORzkWu+k191peSvh4mieXwIbwc3raS8L1kkCAR57Mu7yPvDeSP493vBz1e44e6fqgeDTS3g7uJu+8IeKMgTQuVjs83lIH8ps2kt9EGMnKtEy+Q28pGvCzZhfR/LQfLdKDU9VgcdHm4e0ELuaGjvhs5qjtDTPsc7uaQxTo5ZSOzL5rJeOk1ykFvsdnaSe3hyepImT5VIbFCwHgs6i6Ce+K6kZUXhPVN/b2XVEHa9GUydLzWZ1kgdWyB8XL+YvJOUPJrfmrbv+Hal1C0ORVw1+NiXfUIM2G690cbCxjVhwGnIwQQQrcKWRjdj4OWPCKYenANy/YRNLh12IBOhob1GwiGZTqB7pkSjewgcNp7s+nDUfrEpSiWoUxWj2Yk4SK/rKTlTjtEHNbGAu7APcGouN3RQHqG+fnY/FUCbdGeQKoXT4rA/glPKiIAZsEIf47n1ac7rKo9PqUZzgXJnMWuGOnZlgDUQbwHDUDJUA5y0MqmOBEC1aJ37ZgPmHWql4MDBqhzmII8u3nyP2IvmFYQecmt6LXBtS/V8rJsZDITKVFQCaYOvwyuWZ1CPiG8jnPz/BFVz8UVVmItS5YWyZ2cbpdiqUsuUHqyCXaliG4Xt2rtoqL9uc8uaK55DQGdv5wrxELkzhtYCpOkEyg1t+fDnGeltqW//I9MRfCkmORuJqvKeny4c/hB6uVWp0a7Cs/KPmayhfBtlyS2SZMZxZ+o8mcSexCWU3H7bI5hyK+Nh+kUmBm3RPSRI4DNroMsBrxI9CgwhegHoK8/OgyMLjLBJHgEfvAFX5cYmkymAREK7CO6vA2SkEdwJWtKTAVTk/J2kdp6uH/17ObOedjuUNFLoFbFGtQneAsQlACF0WzAWbZRCneNLtQ1Ua4C5ifBO0a+UWEvZ65WFCJO38crosbd07PPfViEcXw6Al3KUX3/i4qXaQYvM2iXVjchIClO7/k589ftEpjjbgh9prTKCAJiRheioUUFdNsdwOquksdvpcVo9ILGBU5hM2y/VRDcV6//e6nn986AuvAIplKhNmDcs2dVZSk4Fu1e8iqGHMV501qFqxJkF9cskbKrAwKwM1zo1OX1NbKKDjAcbD0Ib7xVkze/fWnN38J3/6PP11hXckNeMl2shrsKBJrZftC6P0nxbbmRukkNj0oP9INZy7SEdcQf6WLGO2UoHaN6B5M8iXmm5V8HL4+7Z7kluvbbrUc7J/j0srMOjArStNer9eSOVL7YDaSNheqbYkFcN0C1uYWoqz6Mwv+SCXjtGhuknG4Yh8O6ocMNBJ4lW5BpsHnroNVvc9jDx5h/F2Ylatpq/BQrEF/1kxxZCXWKsls7SEDM73FNBA0hblhhlhX+EF8uShroEOepGk0pYx2vUGOI9vDZPU0TLUS2/qAKyEiDUH9hVUtwxCsP8RnqM5FkyBhAvs6XyVr3XuxTdJlKJ8d7y9us0CZh0r3fK8y92/U88d7L6JaSCaVvdGQ38oJh4t9I7AwGByrZRgtErMMY3LJc6y1cKgGEQh+OcZLSfxLFa8Rn2LrjvQGtx1yGVphMAAOASZtQhCIClVGvKQeX/Gv9f4IkN4ZjboRSO6wsoNaur7ptCI7+JfniCkaJEQN98qCpE6wgDNZJegxyG1DeI6SS10GKkpUeTpgck5tl9SyG44UERqQgDRN7VGhCj01TAuRSyzdrtXAUHLLpBU8TPNbqdKa047fxXDxdTsbRgXYakp22cOjGtxFqXIPzebANJistbMlmIRQuhdETF2Z8imvI16tdUEIeaooaYligI6L0ANkGNMzyqSSxyEdKyU95DR0Cgig6iDUlDFZIIj/qHrAkMrDyb+UQ8inUVUlt1i8i54ADbteoJzLodeYhKKhblnIH5MlUGOYB75/mIIdxR/0VwRdaRcRLrVs875Qe8b+Ni6tZAQij2QJvb4doeQAM2w+5+r0gIqm2vr/aQyaUPCOd6XJPPPMzrDeejaGYgeWp84dI2MDLp8RO2Kn2nssRRBzPWGt1RSGB3YRJTcO6m2M/vahyMQBOUa13U8i1CIvJ6uq0CVy+Nhwn1oNHqArh3XkNVVtY6Hf8ZiItnDxxAo3AKATTA894ngaiNHlrc+AJ9krY4dGMoBaqsGQBrlGvR/C0sAEk02y4cwsm5elZMgwhFUg3dbaykrNqhkZfnfetW7BgcsoJXGg2C5fo0UhgZU7tllSZziMwS9HNIl7SvxMegQrCnk7IENBaadtBlIdsRiJmAoDTJ71rTCjrQhWDjxDUYT/6yEGwLB2AcPeyF20Rr4+J0e+8/xtjzmg0w31J8MQO5iQJzXWYOHWGAWhHqdITkm3Lp47OIdjH8Ix4mwEYFVVShADawkujnznmlobD6lAnCbrPWM6tEWNupRCLFnH3OmWMTHGS0/a+FjeDxk98qmW5NHRoJ1lpT5PLMtBJ2vGcxmUzSAiPJ0MAqX6bPBT+1AzWG9li+REANjMBY7AKkZiwwNFbbQzuMUojgf/AmcYazgoL41HI5ErEPc6PlGc1qfpox4TOq3YHAC1QuZEcVXUtb1uCBTHRriEgwEV5jfDZ3O9rl41uLCVWliaj+zhsxux53Kf0qkuWoXhf1KPtIM+okhwdqRFBvRHJqo1WOz7ByveMlC2TUsrhIA/RbRy8MPYB+eDsXFVpMIFpWNGyf7JYd4XO8jC5FzhdCF/ZM04qZr1YcdD42eVtcvy1PWhFR9AwKiIvmWY/5Xny/xHenUEJCwx7YDhpP0IS6BwftK7qzE69igpAIExFdHYzU9vT7qzN5qhSKRku071qeNMVbQHgcou6Nwblr3NgFFu5mb2Ax1RSn+g7wUXUbVw/QMums+lbsta5pZMgdYuqhLQirXmE7kZpH37bj9IiqV9tqALjRTU2UXSPzCAxrbNWtGMlCFSNxqGUk02H4CtMLrIQ4v9ft0ZRmtMnRCTYQtwKFclhOQjhHmRY+G9t+R8HPg+w1WLFjWddhTg0cX6GAv0wIXHJVjUdKSx7zK1JCQsT93wtg7d0xY/TugcGFdVSkVzZjprd6Cl0V53S2Rct4b4xPTdehb5i8wtMxRHlBPfEaIfk9I7wmcskmclI3Bo+bg746EsacYiGUzhgrXhlDGOorlxEMg+2KTOBSH9kfigJPtnhlzF2FWtmb2dkCED9Zf7EirQDtGdoBOXmNnEVJtR63/L+/5E1852LKZrfotaFWAZe65ayCBULih3CU6qa4gYqJZbzVOdDVSBiffuzJPvgnKPR5TNCGLIsne4qQiI4p2+4YjYApOg11Kxv3bn0xjv3+gTcDuYPib7KVJQqByWQ5oHptVM3DKqMSzXliA2qqV5jmTydkSVHb3tltHW3ztyfGVSeIebKkg8I7Xt+ryX3bbamv4EtLSm47P7B990+bxIDSAxV5lo+azG7RBAqHbZ2L/iL8bWy7uoDLVRVC1kfaqVeFattRishDDUT7gooScdtUrylX8ZjCdW58UAbuqZSnkbfScvrL7xQN/4sXnFXzSv+IvmNbFQ+sRaDo3z6Jo+5hoS36OzC0qs3mLW/frs9dkbh+RUawB0gEkjNAAA64BFfFMW6EOsRY6mEdO3auuopybkbiX1C3OOVfs6MHp+PjZyq+qTD87b9+DLrTOwV1NZpQA6/Rb0PTL+2c8//icpqEwd1E6pnkF+pcHBbYJ+djVWh4p/b63vcQ3o99KcBiEugR/0cTN4o+Z+iRu5xmNFhkukw2MLpD6Boamil6R2eiMyxxyIOSZ8pdditfHRrZ8/pcrgoezBVDoNzd5kv3bWcdllcLp9SNwZifXWCBpHuTVCR+u5XCayFN7K8vzp/czVJ95t/gdtrzFRWWRsq+aKb9XlgLbv5qmP0p7hR0zACMdYfHOmeg7FDXjcAsSryAIIxyhbQplHHJq+8xFW+Vo+1v6+7arfcX1k0jpfCVYQg8IsCt78cP0WjTiu3/sGvcs1Hp0NJjKpURal3LR+SX4QPx+fvxyfj1+wW1Etilrw0TeGD5ZZGVJddEPlTufj569gVPTEjm2zZtYeq6zIopXQLuthv3Y+XWeGQ8CtkaCiZafpwKTBFZPbwq0yUL+GDuFjNsgELQewBdjaMCugEfhEqu3Mbb/R4c7tum5qrlaC37XAewBYvK1uBZ/NGSZ8QRmG1A/3d/hIa2n7XQfTGk8BDrXjy/FC8UfNFQNZ/k/YVVYYAm07QEO5PZLbKyXkFwtQbzddYKVH6iCCDyPz7c91Qdbp+plagJ4oVs2penH1XB0oGQ8IF7VBwyH3tnAGoLA30bZu2oRJlwo6zN2rMejTDWVRRymySBDVN57kViLf5xYGyHASHCQ+U58z6fWUh6iZDjNUX/UFGDUa3bVfPqHVoTO0LYJdhAWYNiKluhX5is1GhudGqMz96cAy8PXpxCQ4+vXU3L9SrQ940B0IJ4fb8Q7adKiV4lpoiPqNahHbGcz06bJq3UHx5+ylpao9QN//42QMEaON1KdVUFsaIUszjiPHWuSAzLgagMNAcMtnw+qpW+pON6nx+uIJY4HC6la6Q9Ee7w6/hVVxm0KznaV4utUn7OaodGFaMvKdSQjzoXUk5ePO9XaTTAV1KhEIrjQmgevWhmkths/9g70PfGohqPnLVKHuQGprsBk/ADc123WM1ZHwsTkP8W6raU96jQ8MLu+s87q1zsBgn1/IMYU4vOSx/e0h9ckh253BhsqhuWsdGuXKYGGC9AqY4dBQD13bGJf+1Iy4D4ak1Q/wnduyqeKIw8+TGGwxoFqUGbOBtO72USOiXPtVJQT4vUA48I6Kam94750f1Tvi92PhtGZAhwqBA748+t54NO399Q9vndapXsrvwTWFsyiAtBhAAR+YH3v4fV46CLOgXAl328/BKY5k3bfr3NZ3bafTc137zvGXObLgDFifypDLgBjiKgwJi4U5CHaSbTNnA3xaVFSzraSPzInEvtg20oVvl6n1yOFVV0NAkTVoQ3wI7m6F4jCYEJGr7rTg5IcvFkDtrGz2ShgQyqdFirIhvTTIYMrpzFUUkGwPmnoqH7/RukMdnDS+/EVxrC67k62lpg/ycu+ynpMtd2uiPFmhylQO9ZHaP9/axlPZHHzUpW8IfK8FHvGUo+7dXt6JGVUH2UA3tFcDvSQvCHzCW74wijwlzfrwDunZh6tmThnIwd4GIXt9jyyfpqxaP33b5hD1A6lYSKBCiNc/gjDJH/vDcerZNDNTiV7ZH6eXTTSVRdknQeteY+UXbj6pD//YjOfaNKWDNzYPMjuxwjyL69wB0rrm14KS9tuOgCKi0qPvE57RvshxwRxKT6LXOHMPomSTpzFSzg52DodTlUae8jgenZ05hk0rIXZ+9piQKAw7Cel1GxaS4wiqdO4hclS9pfaOQrBRUYo+HCnv0lYiUZoWd6HU7qr2r69Yjo9PJq83uj4ewDIpCZsiXYIAKYY3Sq1VJaqqs2YZH5KZKdUrVZbMnLkKZltb1a4JNX6sXkz1bAvGVCUmVWOYJZrtZAaKv3Q0yV5NvjlnGqSrcTU1uKvbBgFeQYeJe6TEq4WqGuLnHWl7/bFExEFM2HxO9DhNouFm318fLT//oq2r2zr8oPMoOAfWqD0+fPP9tfUqifS7Z8+y37Fbg46DCJPI64o+wLX6abWi/Un1mcq9U6zIN5PZVfWZ3++v4b3KTnffAMZPONBHQlsXjfJIRz9vMKVTZsLS49QWHHMsHxrQ4ye2nkT4nT56wiVAcJzgeasoButANPLYclBtlrg9zWfzaVtWPTa+j4mJCXBGmXLcKdWKmRk1vlgm9me+lGbRsC5lIeMlBxiXxBqU+RnANMkpjWyQmyhsxB2EaPutLoQz08Nc0ChzE8u5300IOnRTbesXLQDodMqzTq46xEWN++vQL/nrVkKy3OetRctyQ+vRlQ8aWkIV8k3NqMf0z45goWKYDHcnWudCf/05uK7WWyTVO7yrvKWo4yopye0Ow2URhyEQZbvgYCWW4FFsF9StqrFlw131bWqX6RDHOAyw4NCcusk+OHsSw1ES4Uk0ehWp8T13NEL1+HmAwJ6j8h2AAa4LfWERN2DUJ04w5z/UlLTXQPNXQ411YPLP4a1OFA1CkUcLOnRsgJ+Y6icb/79MFoue/+0zHUBwoFVUZeDVqPhSaoPP6CVN+2c07Irpu1GkCWqgh3uMZG2Fovt7Z6ZK1liOH8Lm7unRoSg54X7p6nfbfJ9BhC5d8BmNjQz/AJtOhrrQFAYlHj999s8KgUoODTTH3dkjVJUe7xeT1aDU0Os2BfGZktf5moewpHfs/os1xucJ3bD4HJmE/IjqF5NSfiXzn9MX6mQm5UzBt0JR8uyoei2aqGkqL2oDZZdR/q91FqJA2UbOTbt3UXHDGY0CNPIn7ae4zU7Sxl1gDlsfeI6CnEWBjI1qO3lKkFh1BJa2OzS6PNQaybCImTAlkPooENDnxvlj8M7BZ9wFNQAESnKXTfwu0x9BWJlZxfAYQqD3twOP6bxrSHAo5qX/DgAlpOiRKnKWNxelPJDgubDAv23xwBLWtv54/cNb/u76w5/Ncoy2YIDTaTZ7pjhDYxB4ouK1KDDOWBkw7m8ubs2S0kpXqlFp5xNOxbwPwyTr9DlQvis/hyakptlj6y8VNPSThSXYpy0twcqgrrikWz6zCgNu9S4yUEAqsyNDKa0FY6lMdxQYuW5mDn0EgtY4AEJH8lGgYnmbuzS9jwBSUg9w9EeUoQfJ9CP8XtLnH40DkZXxXz84OYEhwhBr4cIQRghDdIXD0L2QLvHJ/wFgZ7xC","diff_test_sha256":"62d9ca3b13bf24148d32eeed03f6de37a35cdfc8e1aa2677982f903eda8563fd","diff_test_zb64":"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","proof_sha256":"f51d89857065eee5a41ea1586bd3d6a91550a79ebaf3303f557203bd8fdcea4b","proof_zb64":"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","decode_instructions":"For api.files k->name: zlib.decompress(base64.b64decode(result[k+\"_zb64\"])); check k+\"_sha256\"; write sibling scratch/kit/name. Absent payload: use same key from pinned KIT-B. Decode IB.sol/ib_port.py from pinned IB code_zb64/port_zb64, checking hashes. Goal SETUP is prerequisite. ibd_paired_deltas: packed 612x3 little-endian float64 [IBD-IB edge,retail,arb], seeds0..99 then8029696..8030207. gas_stats: packed full gas JSON. Both use zlib/base64 and matching SHA256 fields. commands.zb64: packed UTF-8 JSON array, check commands.sha256; apply commands_prefix where applicable.","api":{"files":{"sim":"sim.py","port":"port.py","harness":"harness.py","diff_test":"diff_test.py","tests":"test_kit.py","IAD.sol":"IAD.sol","weights":"weights.json","IA_patch":"IA.patch.json","weights_ib":"weights_ib.json","IBD.sol":"IBD.sol","proof":"prove_ib.py"},"new_features":{"19":{"name":"raw_amountY","raw":"amountY in real Y units","multiplier":0.05,"offset":-1},"20":{"name":"step_trade_count","raw":"post-print in-step count, capped 64","multiplier":0.5,"offset":-0.5},"21":{"name":"prev_bid_fee","raw":"bid fee at callback entry","multiplier":333.333333,"offset":-1},"22":{"name":"prev_ask_fee","raw":"ask fee at callback entry","multiplier":333.333333,"offset":-1},"23":{"name":"steps_since_arb_like_print","raw":"min(timestamp-lastArbTs,16); update lastArbTs before features when firstInStep and posterior>=.5; initial 0","multiplier":0.125,"offset":-1},"24":{"name":"router_implied_vanilla_spot","raw":"(heldRouterSpot-spot)/spot, zero before first later print; later print updates heldRouterSpot to isBuy?spot*(1-feeUsed)/.997:spot*.997/(1-feeUsed); hold otherwise","multiplier":500,"offset":0}},"storage":"Float S[20]=IB lastArbTs, S[21]=held routerSpot, independent of IA S[18]. Solidity keeps diet anchor packing in slots[13]; lastArbTs uint64 at bits146..209, above firstDir144..145; slots[14] low128 fastHat, high128 routerSpot. No new storage slot; enabled only if any id>=19. IDs0..18 retain all semantics.","reciprocal":"For ids21/22 canonical multiplier333.333333 denotes exact 1/.003, preserving IB integer fee/3000000000 and its float port; other multipliers use normal affine scaling.","compatibility":"Weights v1: ids0..24; n,h1..64; single/firstInStep. Kit commands retained; default IA Solidity unchanged.","sim":"No disk cache; compile once in parent before fork."},"commands":{"encoding":"zlib/base64 of UTF-8 JSON array; exact commands as run; use commands_prefix where applicable","zb64":"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","sha256":"68d434a50ee86762f73b549fb04e3befac2ab98f798895f6d272071db8db2d5d"},"commands_prefix":"From test/scratch/amm-challenge: . scratch/env.sh && timeout 470 ","identity":{"regression":{"n":100,"seeds":[0,99],"identical":100,"max_abs_difference":0.0,"paired":{"n":100,"mean_diff":0.0,"se":0.0,"worst5":[[0,0.0],[1,0.0],[2,0.0],[3,0.0],[4,0.0]]},"retail_delta":0.0,"arb_delta":0.0},"fresh":{"n":512,"seeds":[8029696,8030207],"identical":512,"max_abs_difference":0.0,"paired":{"n":512,"mean_diff":0.0,"se":0.0,"worst5":[[8029696,0.0],[8029697,0.0],[8029698,0.0],[8029699,0.0],[8029700,0.0]]},"retail_delta":0.0,"arb_delta":0.0}},"gates":{"A":{"sequences":50,"swap_callbacks":100000,"initialization_callbacks":50,"max_abs_fee_difference_bps":6.64202309125228e-05,"threshold_bps":0.01,"passed":true,"exact_reference_callback_mismatches":null,"reference_port_max_abs_fee_difference_bps":null,"reference_port_callbacks":0},"port_vs_ib_port":{"max_abs_fee_difference_bps":6.938893903907228e-14,"callbacks":100050,"passed":true},"port_vs_evm":{"sequences":50,"swap_callbacks":100000,"initialization_callbacks":50,"max_abs_fee_difference_bps":6.64202309125228e-05,"threshold_bps":0.01,"passed":true,"exact_reference_callback_mismatches":0,"reference_port_max_abs_fee_difference_bps":6.938893903907228e-14,"reference_port_callbacks":100050},"ibd_vs_ib_mismatches":0,"B":{"n":512,"mean_diff":0.6423656453913122,"se":0.03282628245636201,"worst5":[[8030304,-3.915700030275957],[8030363,-2.9491580101883983],[8030443,-1.6491575306478126],[8030531,-1.6273089793116924],[8030314,-1.5466825302143548]],"retail_delta":1.0119781771220624,"arb_delta":-0.3696125317307485,"seeds":[8030240,8030751],"reference_real_gain":0.5915730521292681,"absolute_error":0.050792593262044106,"passed":true,"error":0.050792593262044106},"wide16":{"sequences":50,"swap_callbacks":100000,"initialization_callbacks":50,"max_abs_fee_difference_bps":6.64202309125228e-05,"threshold_bps":0.01,"passed":true,"exact_reference_callback_mismatches":0,"reference_port_max_abs_fee_difference_bps":6.938893903907228e-14,"reference_port_callbacks":100050},"C":{"passed":true,"sequences":50,"swap_callbacks":100000,"max_abs_fee_difference_bps":6.64202309125228e-05,"code_sha256":"c2fdb3e1c594cb4a8177d50006d6b330dc35de459074323e92c2431bbd242efb","policy_sha256":"8d615ab7aa5ccc24f22d32ffcd2aa343ff032dc71e14d5fdb425b9a6c8823c55"}},"gas":{"IB":{"afterSwap_peak":237009,"afterInitialize_peak":243227,"oog":0,"other_failures":0},"IBD":{"afterSwap_peak":131559,"afterInitialize_peak":176927,"oog":0,"other_failures":0},"wide16_probe":{"afterSwap_peak":132328,"afterInitialize_peak":176987,"oog":0,"other_failures":0,"seeds":[8030208,8030223],"n":16,"every_zero_net_coefficient_set_to":1e-06}},"speed":{"markets_per_s":225.65607648279203,"processes":8,"n":512,"n_steps":10000,"seconds":2.268939564935863,"warm_compile_excluded":true,"pool_startup_included":true,"seeds":[8040000,8040511],"search_performed":false,"meets_search_threshold":false},"checks":{"original_tests":15,"final_tests":21,"all_passed":true,"ia_regression":{"n":100,"mean_diff":0.0,"se":0.0,"worst5":[[0,0.0],[1,0.0],[2,0.0],[3,0.0],[4,0.0]],"retail_delta":0.0,"arb_delta":0.0,"identical":100,"max_abs_difference":0.0},"ia_n":100,"ia_emitter_sha256":"c20b170819e86adc7f59fd0d2a56b1a3463883ad29e471957538037d62da99a4","setup_script_sha256":"f3abb169ae32d5b1c3d8604d693fa1c646dcbda1a527aab6cc6c8402724f392b"},"ibd_paired_deltas_zb64":"eNrtwQEBAAAAgiD/r25IQAEAAAAAAAAAAAAAAAAAfBk5YAAB","ibd_paired_deltas_sha256":"efdcd9711462dd6cd659259af0ff1738e60f9b15fedad68ce123cd56741fc33b","gas_stats_zb64":"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","gas_stats_sha256":"2a1065ddc9897799235c62696aa8402443cf624ede006a043218c6b988705218","valid":true,"inputs":{"IB.sol_sha256":"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686","ib_port.py_sha256":"f63227c5e0f63633efd132d6fb402ede665e5c9cb24481911471e8dc20a3362d","wheel_sha256":"aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a"},"provenance":{"KIT_B":"https://api.imd.fun/artifacts/48cd6a10f39fc22a79c5f12398474bd65282803d59314819acd586f187015808","IB":"https://api.imd.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557","HA":"https://api.imd.fun/artifacts/2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690","repository_commit":"6b6921f8d463314aa7c96234e1be25a25245f704"},"notes":["IBD and IB have no measured fee or per-seed edge differences; storage layout and gas differ. Float rounding errors are in gates.","No search, training, holdout selection or leaderboard submission was run. Measured speed is below the 300 markets/s search threshold.","Initial replica/speed runs loaded stale Numba caches and were discarded. Disabling simulator disk caches fixed the replica gain gate; reported speed is the final isolated run.","Retail/arb edges are reconstructed from paths; max arb-volume verification error=8.504162542521954e-05. Runtime packages require the goal SETUP and are not embedded."]}
