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pLpmhZNmTCaZqqpSk6U5aCWWavky4P0ZPrGDv+MLr4+Y1NoFRQ//p8fLtXbwaXcgfO9QyDlEGx9NiVJLuSzJmrnEWWFwy1BmjzLkew4K4LVkfB3RTcTaEYqgKo5KIyRVaomxt00eJmjJAxQsYIPKiCB+W8CicaUPb1jYGzjp1fQaroXFc6V3iHAm17iqx4bBWPreJRVDwKN/tAuim56AxGscEoIUJ9Xl1fjE2C6RYdUMy4aIlf/8QpgXLTwavR1fji9t/T8UswKh/w7vrDyCIzU9KO+vrVqzE3ggrX+fnNzyPOa5RMgwpq5xJ/qhVclKaY+XPj7V6jjBtl3MhpTLms/e055EGsVeXSdl00RNhdqGihLH/OGJVLGXExaYbITqTYiZTLCCEDRUdlqOIiJWz/nL6EUVppZyxtTviUy/j+CXPmuYequJhyMdOoby9eMSznYsHF0hTZeHj2pKKeK67f2z7ZtDh1VJw7Kk4KVS6CokHg+VTxfKo4H1SFV8yCosEtuGOeK1WVBEWDy46o2PsUex8VJReNPCuPLndcsblh0eLmjJszbs64OeMy6xXLrCoYt2Bctmg3Neqi5KLFZalXFeNWjFtZ3JSnzJSnTCpKUxSMILmouJhyMeNizkUaZidy+47xWbx8GtJ+5smvYpj042Qo8EGlJEngpcSX0kIgoSvTnJ/9OM8MepH142KYNT1R4Gum+nE2VEdeK6BcDYV9zSsgNKxcbYW17rWUJbIgSwtIMoHUsHlO+GWGDUrXuYSnHBYOH7ByiyxkPxZD6erMI3WPYijpARglVQLryrZW0BPEG2oCEsv006HKMisg43ZPRNZdSOQ4KAkYmH7q5jn1rp8k/dQwRE2Y4YRGIHVNWqbwhk/TDJm17CF3wCu9gbTLFCor/GO7QLpWBCBSkZiXHAUKD1sHb5mtI2HalwopslqxWck2YGUr3IN6zrgi8f/kbuQV6hM5539aM4SA1qC7KIOBJHsNhOkKJalbHMTK9R+l5ZTIrBkkgFtBKcBLW9zjQ7phcW3umC0NSRwjkxDK0QgeiVHCHoP7oO8/xLGHLzwZmJt5N2ZkTP6AFuWhd+E1xVdhB0TW6ODKe4LtoIQ99VPsET6kzaGnJpG2hy0z34lle0T78oFRppCV50VViUqlsNhDRbZAnhC0MZW+yejI4eEcMi8VPjC86fhmApzv9wfVwQ9RgWmppCwTmL5gvZ9SAKnyAAY8Sz281j+MRi2g4f0ImHk8OHaV56pEGVYCcjSIeEioBSs8W/NNpyyVBHazUsCitSrTAzClw+IRlXxPU3ZGAie00EMGTbE0xwHpYbVNNDRXMGbAVRpr79kKCFqPfzos6NYQdcrA2Vu+71lu4k/Mmlo7WB0CHhlcBT3niH00yMghBUVgT4YUSzdELqGsMOImB8OWmaEOVNn5TiSteNUSlNybscTROCmO+CPPJ+rAA1SBpsdTViFbRXqkGWcOGYfExGlctHR2KN1oWY7YG+aeDSQHA/uBCUCWDNDlvShjDFXyM+Gi7xgJF4OU0Fd8Gg5vz+n/zGPSjx+2z0/NGWSm5iC9g8fQF4vFbktnp+aQ9O98oBnjYXND55WLTTP/jOeY8y/18ya+Xy0ae9g+jD6cv4KUN4nMeSWURWQOLKEsI2/DAN7TqH1ECcA8ckeT8FZG7kQSiSURn0Tiu4zcCSS+EkF78oiAPPJPHBFSRu2TRmQsiVonjAiUUetkEYFpxEeD+J5HeyeJCC6j1gkiAFUS2ZNDfJNR68QQgWnUOilEYB7ZE0J8K6PWySBKEgSzdyKIcBmZk0B8SSNzAogvedQ6+UNgGfGJH7xnSNY/6UOYjOwJH75ZkePuH747iVtAGYUneahiLW77ppXoTu4QlEb2xA7ftEnYtzLyT+gAUtjBe1iFjMITOYTB+O1JHL7m0f4JHMLLaP/kDU0xifDEDUsyur5CEmUWhWdoCKui4MQMQJWMwvMxhGWRfxqGkDLyz77I3EXkHWsRJI/M2RCZfx4FRzcIU0UUnNSQX4DAP1xTKYsOnLxQTRG5gw9ynSRy5xn0nkXu8ILewcTNiQK+FlVkjg/Iy2TE+/8EqKJgfx5hlYXZzXjyRNMyjBQySaND2+xUVUaHd9qpsor8bXUEQdDwttMJkkbt/XDyfxGF++AEVFF705vAebS3gY1w8PK9jWuCuy7d1jSBId7x3jLFmyxye7QUb1TU3nolcBn5W6MIAjs2m58UkCDc+JueBEujYN+TYFnEm5wEwJhgNzcRUCVRa1OToDJqb1sSGGKX242kGCgi2kOkchWZXUJ8EyqyW4L0mkd6049iZRLRth6VwRSu3xNYiSj6H7xHdXJf3z82Z7frXdOJHpqP8fRp9eXk9k0//ljfb1frftx8fer8LYrhn761Bc1v3/wK3U8I+OVxBhMfIMUvEI6OPtHo+G/2Ea8KnSCN+L9jwRUeve6Z6ctV6tcDFdjNGd0UG9LNMyQcn2K/4KWTjuFyu1svDfGjo4TZevlA46z78V0//mLGCAzfxS/O4ppZNQTruBef3A3qTvdLFIAH8Uk9uEPw0c5q09di148/9+P5qh8/zkyPf4nHq/nsYbZ9trfp8ALYyee4C7meyjvxdhXXS3vjqo+ZBI3uvp5DMnH3DFiiHBKpzQNKZwctSUSajpZKnWi9kX40ROxBZBuC17d+wwtn63r5qTkpOoFmf4t/jFWoUlLPbnCCGkFjnQx+63SBLcAGvl7EexXNfNMYe0JznrCqoeIQ7d7JbwNHBEk4nC+ae+sKE83iGVi77uWEKtExuErGNEIopT4SOAzjCIeT+exOOh3X9cMM7w7eN8DBfDV4wqZPIJz5yhB9GjzONPAFKN5RIUEzlW/Q3FI61UKDJ7tV2M41m89+b+azx9XqgV3z9MQUevAXnX7S/db91vFkBc7FDR0czKR3Fn/hd0Hv3SceKnRS321gSItd53SxY1SpUR+6mtwCEcVpnUR+s4XfbNPcr5ZUIy2e8apF31QOgBwJQqO+iPHdysHF98l3otkGsvAZhArP/1Z3G6D/tNr28c7oVJfuZnSz8HeIfLP1BgAbCGxLrNg948u3hkME2PLZ2YFwh3AibBE/gxUEjDLuZ60tbwykzBWALVNdq8UBMKeVB9bD9U7LA+C7Y/sk9gNH1SPRloTodIXTEjkYt7UH1k+bhkLKbHlipQG47WnUM2E9sB6NzEvAJt0TQ21gnSdoQnqBjo5Fyuh7tLW1TenO6ZxiBEE+M+RzIJo/Hr0l1veJfJc3oI33W1ui/9hgRADd0bSye9aGC7rylYNIxIRLIlt6WK7Wi3puDItNAtp12ACC9p2gv7BZiHgakGvPzrOHHXWMjqu5aDu95m+2abQx+5nUpGcpdG0haPY7Kub05HOP2rf7pijgzdIoc81CP/69A/LnEeHrXlC0cUSrKqhuzIggCvjD2a629XyKVvgZg6bJAHUTjMxNtzk1ODqiNcsNTtpnnDLtBd9vp1AKsseJZjbIHo0zrB4eNjgDaLpdpOHyyckpz+iGCWd4GJq0BXG66ZkQke2ecb1LMyfRkfhwsHE7SZ14KUc72/gye9g+4jXsx9lgvnIiDqdJCJY6lHoTJeQOeqakbOHwVPmNPBGpu8kS1WgygUW9QSkSB6cn9Kdn8kNIFjqebohMV/9xwqTmFLM5+/Yjg6YeVrP2Ts8IgwBP69UdoCKcO8U33dfv03p9Ry7gG9XCQFuWTxMWtdCNFw1khCGWC1lEok/da+S7ZvulaZZ2AsbqgUV3qvlcr2dGNdiy6/sX9dtz70S5ayNjj9BblaZL+9fNhraTF3bmw9nDmxKZCa8+yAtg4H2Hp0d5bO7fbNf1doqftpyM0en68dekHz8nLu8+32Bqa7NvkPJy/hx8CkNfZ9B3B6DU2aclfssCafccv1Og723GOu8e/5pMNM92g2di4OIIXE1ay6jxrxmCnpPTrwmKCp4HEr9wz8S2zA2xYPfEVhatSr2PYmvLvaa/MO9ZqxLX+G4A6nstbeXeNA11KdbhcH29+iLqhwL7rnbrj5DdWfXONlPK1erFarfcTr+6EsC2s0UDwWLx1I/Nh1dYb4vPxiYgK/g8xfn6jHTKMJizCSZMllZvttPthkByYmLburnHT2kIqMyK6n5Lr6kh9Vhv/cGDTS1qAuSW7oJeC1v/raH3cmKmqK/TxrSoNOgeB6hZM/zix1oaYHrdgaes8XscmqxIO4Y6Rf0zls3AjgsM0AHBDi14f/2xbL5MIcF+8qlwA5caGay/Ra3ccoofuB1gIDqcg3qtyEgO56CL3bw1Kbt9cbAtQ6Pjp2Csuxdn+3NgW7s2lp84oEtqu9D3d1awd818heN10dJRCFse6XGg22NuR4UfXT5/eGGI1tcNJeHOBA5Jgsyt1YBPDQ61sAbZauSOFo7IWxutF99wPvdN4tiSZLYk20ZbIBqnbYvgTfjWCkN7Fjy7jKVZ7CHRID8OqplM6EfIgwfp+zMWt7HuGe6q0CrkzFa2amlVcsah6dTFKxQdv7SnBwwu1uF0oDm0QjUhyK1R9RLFxT3cr6Moamia2Eeon+oFxR5vxWDXL9+zREAxLQ/xg9/uzcjBHUuh34QIXU2qxSathamGA9s9rO9wi6w1zwaLwON576dg1Wv9u+/yYHtuMOm0t59INKEHeWcKQOKT53B6rpCTYLF+WFAW36mZzAuDycbPvrQeOz3OOQdWiZ3OqUmE29bg5ZEI6cf3uCHqxYWD8hx4g/OORCa8P2pSTqPCAdLunFKf1ka/u7lVzwHHJBLuTHDCKrQt9s4RJ+HukluZk9J9r3NmsakXOLLXNZDU6fzT0wqWYSHQ7UOxWnY49VkbfdFSz4PQE26oYID+11ENaz5OsKXjsIPl3VOA6PGHw8N2gRHBe0j5oDDpgHVyZOOIGGd1k9OFA3UacEb1qSaWFvXXE0puMNq2zmW1F9lzWeNAmjuYRgJbY5IHaygcbuMfzwhnL8bhH3YN6qHTMyPo0qul4oSJ9kHbGPqweXJwIjrmNCAvoQfn2h/bk9O+gQEGSqbJbSue2OTQydE7oce9lXDO8iv3t6RoYAc2mgiuQ+qhkYY7T4T3vR2ndkg+uunEobqtLod4fflq0tP9M/Bq9MGsGuovMOVDdoQRxuT4bp589ufJ5++HGEyW+3Ewj8Nid2rW7q3d4wPIxpzsbjIF876bTvtuAt3bVLZrFTeSTrB28joJ1k3IgpGAHj3ZkKWhk6/wcgJbg27yQs9J4e0R37p3m0dHFxp0Tf7sXbfQRm7PsCdBaqfHdTx5RrruvYeduQw9pLWfPftkOPUmfsMcXo/heE58hs+uyYa9WyrgVTRi32zbKK1s+Yz+dG2i/AfE9nD2qOmc41vj9hI7duFn5lK0s//3RKqbI20ouQyd5c3rSlPqGpRgPFAXjKaN0LEz6dO8mdrEFzsFr8gnPTHs50U6NIe0u+XUbGJBbQaLKdPzgF47pz4Zu+WQTfpECrNj076/h4d08Lc56rWZh5Jh32JzLxbS6Q4LIfMqT0RaJkWeJaXIWSj/2dUPf46MGMoqk2lSZKqUuRJJnhk6viSo3AuyyeCWkN0JXs8+4Y+KTN2qJQR7pmedGzeH3L2Rw/PWWs/NtLHDRxSwkJzyJoJKuQoHNnVbEEoFSYwmdiyNMV0d3DuyG61M/RgVn4GDO01Htxdaa0Ue5Kl3jBVcq5nsHUDgT9VQrPGT+fDaDaiwdTTWvoHjHxJ7gsE/XddHawXq4GHTQFN7ce1LM/v06N3NGLhpbC9ddkmvts41xk1YQjsKuuAL2A6sdYdoYlR3+BJRW5mzzQZ/4sZopKGg6d8wsnmhu2DUUslRTjklMX10Dll372yPAp+gQ7RYaub8ANdSdqfbaubbp78Vb8H92MzKln7Hz61pdxUNwQMqPck7rv0qygscbT+VrGfzqW9YfBDnbmVN2vheCPE17G5sTXy31Kbj+vY6cFe5vOsIFLM8eQCg77PZbwWrvUnQa2vEyDwfbkwSM61xj8dJ6ONdbc8m3Y5yz6XLxHiXEuyet3lEUCDTC6Siwa4nTX5Be8XUS89Oq4TH05CFu2uauhKnFlfomUxDV0N2wtR75vDNv5JpePY68XaP/cnD30UOZg+7s73Z7NaNn095O6DmlPNzkG55i0HX3A8svKWp+/69Mfsi9orppAskewbAAwJg18yqbhPL0Oc4onfmUSw9JMxJHe3OI3xAHWLIQ9m90P3vJ0RhcsnNQ7Lc3Z8ku9nC0nQaLmf2LjdOepjEc5V3v9GnwjmbS/sceUiPbPFANrd5nH00M0F4uxfMxpLWi+7tdq3zYWrCLPl3ofmQmG5LnPEgQ730DJWWVOE5sP0AEQS+cB3/GcXs0dVagadP947UcpxuPafjOwzwZpVK+39mSJRP4y2vE1wxtxF+1PVWDoaUN/rVamPk3bpfPunSBBDkKsGSXDd94V2dcJdaW9On18ke5h+tv4x6iMR31ldG2owG7aab+erJBND9O9+Hw8D+HXCjg83vR8hZtD8iZ7t1NzVn5nqcu50+aQeLoLJ3gmYTgDpdN0qnYLLRI1S1VbeoopG3qLrBRswLOjMuJWhnwOyB0YaIftNfftgNMerHtqAdhD9ocfDmlx4Ldk/mZuV17KqRkxkjeAbDfgZUkZ6T1DF6TlotescpeZe4D0ndr44cV0dGeZiWG+MeLZ0HDQQun5Khtw32VX+N3iyets8nQnW8Gn3yr6dj/BZqOBBDv5ouAGBKIts1cmJ3D7L9ZpTs2cX4gXrKE3EX40AdJZY8Y4eVtHpuTydEhecUH78wWepsRUjtbb4BV/mt6FqBXYHsD73CajFsLU3akktaG2Fd0eRtHBKvtwYrh53TMkSR/n7BnrzwhvOMbziDcv+GrWaWbjrsowMO4C+BvfXcX+LzpydIVGFamdfPq932b7GQX4WKP+DXfzK+gz/wLuMP+Al4fAdP0NjscwPpav2JWVh9/Ig2Qr/I2hmIKnM1j3d9u2cPSD1RyUnflb31eOuatpCd0A2/eTSyvPfbJFxYHhDBN5N3YpPfukL1ZpMujX+PriekZNj/1lrvPt55hEReQt/dbyFG7WOUSYjBgXMobB8A6z3edembdK87jpiMCrDeYx2gmrs6QMS/omPPOMfaLd2FBLv1pJ3VnlCa+zthqjt2Tulf6HHnQeaaDkUK/2qOzdLNXRyXnI+1l/g58dj4BC8Nze0Ze3U5il7fXP8yujLpZPgjGgP8LDWT+PsUYpjlGf4+QjIspCjLij5xrnKBP04xUMMiT3P6sY0iL5IK7HYgh0ma02faybBUZVGlhCiqUuZYnwzzDMFUTAugSu2zCuwtJaBIikoDU5EhTTmUpSxKzU6aEBdqqFLom/hJElmkpW6bSil0MUnSRGqKskgKYkioTFZC/7iGKKvKtMkUfhWN/FSJkJX+qr6qihT7zipoTT+bUQhVSEWIVZpUOf1uRlpW+pcbhjIV9G3xMK+ksATzQkn0bijh9+DYAvpDtsRQSZkq6k2kRYZEAJjKoqp0vcgKlRZULERKqCi+AqWhh6hUWRGTCfBW6lZ5nqUpUc2yvBKa37ICqSn96xbAmyBMWRVCabGUpVajLFWO4kVGMkGfOWPvWZEq/SMleVUaRrNEkE7UsMqypEgNyUwqQRqXicql1N84J1WhKam8UoQKLEP8ktSpECA4zafIlaA2IgdBlIRY5DLJCJjmSaZ/iEVmCn/PA8WhhKIegXmgnRVGCEKlpBWVZ2Cv2ppkQt+mDwsYbqLNTpb0mTc2EUlWaW0IMMBK/xBJqfCj8nQoiqJCRBSWJOWCZZToJaTSRKWZ5ge4LUvtHBDFBDoCdKjA+PUPt8CYtWPRd/9mDFmSoolJNFpZaTdJcjNqUYm8ot8WgOHlmRYUVJIAgAsYNpk8OGYiSuKnKiqV0y9BgJLSythsBqxpG6qqrMy0m4DDgMpJUkWppP6pGlElphsQRUW1gCWN3WQqLROSTwXKNuyWYEylNfpMiExrHjxB+2CeJzIn5aVZnlfGR9FnjD+CKeveSzB1qX8MoygKbYwwrirTg5QQc5TWBLBp+klByVqWZZGmxu3zTEPxt1909EHeUmIDo4bQUSYXpZSldnqA6YFnArxMU8wgushUmwPEKF2flOBdSv9cTiJSbZUw8Nw4aSUhTlERDLAQwjBUat/GUYJl6ciJzm+iVwXOW2o2K+MISZkAXeITwqbRpIKhazqFqszIcrCSXI8WmBM2thUU8EhuIrWmBW4szOBAV0ZDpUyLVPu2KJTSAQF8K1M6GKcpuT7KJsl0QAQblLqjLAUhKu1ShRI6NIKT6p/NAFFSsFUoNwisVASdkIygZwhYqdZuAfG7EsaiIFQIbeOqsHYC1mNsMy2AHz2gNJNpqocJgaowShdJqjmHPtG9kLxSVWmCp8iyShehcSq0T5cgJKPiIs9lpuUBSpBIASUDNpuZTvHXo3T4zstCqzAri1zHiQQMNi91xMgTEzQlRErNp0BYaURcaHcC6ygLMwnCfFkI4/5KDwgkDDOrMcQiV2Zuy1PtLTDMPDNDU1KbJFhMlWtdgB2kB3+XwGQCt290EnC/Wt7X22YJ/09O3K9s9cN8oe//5Bakup3o/wBYHr7o","port_sha256":"ebd7b1a5eab94e0e69f986c4a0dbb5aaebfdb4c35ef5419ebae9654f0b37d944","port_api":"strat_init(S,TH,x0,y0), strat_after(S,TH,is_buy,amount_x,amount_y,timestamp,reserve_x,reserve_y); use FROZEN_TH, float64 state length 40","speed":{"n":64,"n_steps":10000,"workers":8,"wall_seconds":0.21323508792556822,"markets_per_s":300.13822125906324,"warmup_seconds":15.629426078870893},"restart":{"es_seed":20260204,"population":16,"dimension":194,"initial_sigma":0.1,"normalization_scales":{"W1":1.6,"b1":1.8,"W2":1.2,"b2":1.0},"weight_round_decimals":6,"origin":"HA first eight units and biases copied verbatim; four new W1 rows numpy.default_rng(20260204).normal(0,.35,(4,13)); new b1 and W2 zero","train_markets_per_generation":256,"completed_generations":191,"search_seconds":2441.608232964296,"restart_weights":"params are frozen best monitor weights; exact covariance state remained in scratch and is not serialized in this size-bounded report","rng_note":"First segment used CMA seed 20260204. First resume reset the NumPy stream to 20260204; later resumes restored saved NumPy RNG state.","monitor_every_generations":10,"monitor_selection":"Every 10 generations, rescore historical maximum training-gain proposal on 2048 monitor seeds; from the third segment also rescore the current generation winner and CMA mean. Retain maximum monitor gain, starting at 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DmOENbMpDBZcCCtrwKhZAsLzsMXAMkQzX4H68T58NPBPMaTqHrLCPJAdeBEVve7Y2dOxgXZjDbNiG88JjUjAz/HN3bON3DnjmRQAid4CknPOolRX1dHIctaQllrgyDkj/xBq54R0PnkPe5/LrBQaeA4kUeMHVo2LJrLPm5yfsil/AYzilZ6zBoPAZ7RuaZAUjUUxf3zkOnrPty+poH53koUI3v7VoeflxawGKYvmfTgp/nmmIrfAUfIh4C2DL915ev7zK0qm0qCo1lq6/Iysm/Q1awGkAs/JL9iEXoaVkSLNUAtwjnfk7J79vMN63IIfaJPOhV60QRhlzzpi1MZ6sOW3lB5mU+PVenLoQ3bnWh2dPPNOMIIZN3owaRLsfi0DXnFaTn7Mn3WnNgWPRJiqAwXBYwFhlElPGp2MOni9KDBtoSe9wWSJe69RGKIYg13rzmwZRy9ZGXXFm9slf3NkL9xw/3XDwPLrgewz/LuX9d4/sggRWncQ0TOHk1wCDU7QXEgx1sDkviU1T0sbHL9f8bpMx1AYt35kDIZTVkohKIii5ByEQG58dHUPa8bJ9Jpmo1Iw0v/98AZ5piEStx273ANQ33Rd2EQVQ4NdsL+zIAgixJCofD8mvfvNhi8j6998LHDyjU2wmyFI2KMVKcEUB70M2MT1anME4WgauhiZiPq5tYE/INoWi/Pbl2ZflZPPEOUn8uN05kBvuoBIkawqisJm+CWuFyois8P+akYGICGD+/Pvvf5EDiq4=","per_seed_trace_decoded_sha256":"dddbf2e030df0c811bf128925fc300535fdeb0a4bee254cebb81089e7ffdc7a2"},"wide_initial_check":{"passed":true,"n":4,"seeds":[7116376,7116379],"exact_record_match":true,"new_output_weights_zero":true},"seeds":{"train":[430000000,430048895],"monitor":[30000000,30002047],"gate_B":[6020000,6020511],"holdout":[40000000,40008191],"real":[7112288,7112799],"gas_smoke_tail":[7116376,7116383]},"replica_validation":{"held_out":{"n":8192,"seeds":[40000000,40008191],"seconds":86.14839660818689,"vs_T":{"paired":{"n":8192,"mean_diff":1.1720828433915298,"se":0.010174428628741874,"worst5":[[40000312,-10.914059124093512],[40002308,-6.857129908616116],[40005671,-4.256941460880512],[40002479,-4.146091058191473],[40000843,-3.689931254887938]]},"retail_delta":4.444522343014049,"arb_delta":-3.27243949962252},"vs_HA":{"paired":{"n":8192,"mean_diff":0.05522946715409948,"se":0.005687458514553656,"worst5":[[40000843,-6.074016500487005],[40005671,-4.898494421463852],[40003698,-4.0800976603285335],[40001002,-3.7801880123364526],[40007635,-3.6199340832577036]]},"retail_delta":0.39147083737500543,"arb_delta":-0.3362413702209061},"HA_vs_T":{"paired":{"n":8192,"mean_diff":1.1168533762374304,"se":0.010208489850049808,"worst5":[[40000312,-11.19716396437218],[40002308,-6.7773002372354085],[40002479,-4.071248473773039],[40006011,-4.0176975359225935],[40005377,-3.787498884098113]]},"retail_delta":4.0530515056390435,"arb_delta":-2.936198129401614}},"matched_real_seeds":{"n":512,"seeds":[7112288,7112799],"seconds":6.568179250927642,"vs_T":{"paired":{"n":512,"mean_diff":1.1848949016341939,"se":0.0421453612832369,"worst5":[[7112674,-4.9947985887924915],[7112607,-1.9086243462319317],[7112705,-1.83640334604911],[7112482,-1.7405899363324124],[7112463,-1.6478912691661662]]},"retail_delta":4.499321742594477,"arb_delta":-3.3144268409602824},"vs_HA":{"paired":{"n":512,"mean_diff":0.059898298618885404,"se":0.02494023367247247,"worst5":[[7112674,-5.148333566210681],[7112705,-1.8386875073820192],[7112776,-1.6252761348406466],[7112335,-1.571894270918051],[7112364,-1.3890881773354522]]},"retail_delta":0.39628677299673676,"arb_delta":-0.33638847437785285},"HA_vs_T":{"paired":{"n":512,"mean_diff":1.1249966030153087,"se":0.039529411529330795,"worst5":[[7112607,-2.29068069063419],[7112482,-1.8798723286578252],[7112653,-1.258457106506853],[7112692,-1.2348195872251608],[7112467,-1.0329732398088254]]},"retail_delta":4.10303496959774,"arb_delta":-2.9780383665824295}}},"real":{"T":{"mean_edge":530.07894296475,"seconds":380.6436812521424},"HA":{"mean_edge":531.1795185906522,"seconds":384.3224955792539},"candidate":{"mean_edge":531.1954485388706,"seconds":342.0839743062388},"candidate_vs_T":{"paired":{"n":512,"mean_diff":1.116505574120471,"se":0.04072833747233546,"worst5":[[7112332,-6.100787251872703],[7112400,-3.115363660152866],[7112738,-1.3116405105357671],[7112671,-1.2729955282281935],[7112556,-1.1816535215269823]]},"retail_delta":4.421470919548446,"arb_delta":-3.3049653454279753},"candidate_vs_HA":{"paired":{"n":512,"mean_diff":0.01592994821841509,"se":0.021604226109152885,"worst5":[[7112309,-1.5408874944628224],[7112292,-1.5381947454128522],[7112354,-1.4341866935269536],[7112381,-1.2610762685750387],[7112441,-1.178114714581966]]},"retail_delta":0.3701933019996848,"arb_delta":-0.3542633537812696},"HA_vs_T":{"paired":{"n":512,"mean_diff":1.100575625902056,"se":0.04043499467596365,"worst5":[[7112332,-5.4705741006978315],[7112400,-2.567761110792503],[7112329,-2.4502274071946317],[7112738,-1.647696980949263],[7112556,-1.6113687433893347]]},"retail_delta":4.05127761754876,"arb_delta":-2.9507019916467057},"n":512,"seeds":[7112288,7112799],"config_check":{"passed":true,"n":100,"fields":["n_steps","initial_price","initial_x","initial_y","gbm_mu","gbm_sigma","gbm_dt","retail_arrival_rate","retail_mean_size","retail_size_sigma","retail_buy_prob","seed"]},"method":"Each arm alone vs compiled 30 bps VanillaStrategy using amm_sim_rs.run_batch(bytecode,vanilla,configs,8); ascending disjoint chunks of 64 per arm."},"gas":{"raw_gas_stats_zb64":"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","raw_decoded_sha256":"88304e859265c05390308db132d34278c7703766cb29931fcbe89069fc6acdd5","before_after_regression":{"HA":{"afterInitialize":{"peak":243147,"mean":243147.0,"calls":100,"oog":0},"afterSwap":{"peak":233608,"mean":131536.20327081913,"calls":1073676,"oog":0},"getName":{"peak":21654,"mean":21654.0,"calls":100,"oog":0}},"diet":{"afterInitialize":{"peak":176807,"mean":176807.0,"calls":100,"oog":0},"afterSwap":{"peak":127354,"mean":100287.26078723936,"calls":1073676,"oog":0},"getName":{"peak":21657,"mean":21657.0,"calls":100,"oog":0}}},"confirmation_summary":{"T":{"afterInitialize":{"peak":243115,"mean":243115.0,"calls":512,"oog":0},"afterSwap":{"peak":223347,"mean":123685.45321742933,"calls":5315548,"oog":0},"getName":{"peak":21623,"mean":21623.0,"calls":512,"oog":0}},"HA":{"afterInitialize":{"peak":243147,"mean":243147.0,"calls":512,"oog":0},"afterSwap":{"peak":233730,"mean":131602.1984276845,"calls":5476509,"oog":0},"getName":{"peak":21654,"mean":21654.0,"calls":512,"oog":0}},"candidate":{"afterInitialize":{"peak":176823,"mean":176823.0,"calls":512,"oog":0},"afterSwap":{"peak":156924,"mean":129795.57870827698,"calls":5496906,"oog":0},"getName":{"peak":21673,"mean":21673.0,"calls":512,"oog":0}}},"candidate_peak_afterSwap":156924,"candidate_oog":0,"candidate_headroom":88076},"commands":["git clone https://github.com/benedictbrady/amm-challenge test/scratch/amm-challenge; git checkout 6b6921f8d463314aa7c96234e1be25a25245f704","sh scratch/setup.sh (verbatim supplied setup, once)","All later commands run from checkout with . scratch/env.sh && prefix","python scratch/build.py","python scratch/speed.py","python scratch/diff_ha.py 50","python scratch/gate_b.py","python scratch/real.py regression {0,50} 50 HA diet (separate calls)","python scratch/trace.py trace {0,50} 50 HA diet (separate calls)","python scratch/generate.py","python scratch/real.py smoke 7116380 4 HA diet","python scratch/real.py wide_smoke 7116376 4 HA wide_initial","timeout 470 python scratch/train.py 400 (segmented; resumed checkpoint)","timeout 470 python scratch/confirm.py {T,HA,candidate} {7112288,7112544} 256 (six separate calls)","python scratch/freeze.py","python scratch/export_sequences.py 50 (exact A callbacks saved locally)","python scratch/diff_c.py (replay exact A callbacks)","python scratch/frozen_validate.py","python scratch/assemble.py"],"notes":["Primary gas deliverable is diet_code_zb64, identical to HA in all measured regression traces. Candidate is a separately trained 12-unit expansion; candidate_valid states all measured acceptance checks.","HA already omits zero initialization writes; diet removes three nonzero initialization writes by packing and halves live persistent words from sixteen to eight. No fee arithmetic expression or signed division rounding changed in the diet.","Packing invariants: bid/ask <=1e17; direction <=2e18; activity and toxicity <=.2e18; sigma <=1e18/35; lambda <=1.82e18; size <=1e18; all fit uint64. Count <=64 fits uint8. Uncertainty <=1e14 and anchor mean <=.2e18 fit uint64; anchor sample count <=674 fits uint16; first direction <=2 fits two bits. Price words and existing timestamp/spot packing are unchanged.","Packed slots: 0=bid[64],ask[64]; 3=direction[64],activity[64],sigma[64],count[8]; 6=lambda[64],size[64],toxicity[64]; 13=uncertainty[64],anchor_mean[64],anchor_count[16],first_direction[2]. Other used words:2,5,14,15.","Gas smoke uses only the reserved block tail. Confirmation seeds were never used for training, monitor selection, or candidate changes. T and HA confirmation arms were run during training, but their scores were not used to select weights.","Held-out replica evaluated once after monitor freeze. Replica has independent price/retail streams and intentionally different Rust paths; matching seed IDs matches config distributions, not identical random paths.","Retail and arb edges reconstructed with the pinned decomposition harness; their deltas sum to total edge.","All measurement claims were produced locally in this run. Input URLs and source hashes identify external data. The measurement source bundle contains the confirmation, parity and trace programs.","The monitor policy was expanded after segment two to consider historical and current generation training winners plus the CMA mean; confirmation and held-out replica seeds were not used.","The first 50-seed trace timing was invalid because a local variable overwrote the timer; those timing values are omitted from this report. Trace hashes, edges, and gas counters are unaffected.","The nonzero trained 12-unit unrolled head hit a solc 0.8.24 viaIR stack limit. Its frozen Solidity was repaired with packed int32 weights and a dot-product loop, preserving one division after each dot product and the final output division. Weights were not changed.","No claim of top-10 ranking is made; fresh real paired estimates and errors determine transfer evidence.","Search stopped short of the 45-minute target to reserve final checks within the one-hour item budget; measured duration is in restart.search_seconds.","Full search and adapted replica programs omitted for size; pinned replica URL/hash, frozen port, frozen weights, search settings and curve are retained."],"missing_checks":[],"failed_checks":[],"recommendation":"review trained candidate alongside validated diet; no top-10 claim","performance_conclusion":"The 12-unit candidate has no statistically established real gain over HA in this run. The primary gas deliverable is the diet, which preserves HA in all measured regression 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