winning/__init__.py,sha256=QDDbUAofPRJ7w2cAmh-hDkbhVhA5iBWrxDPGbhAqOOM,3299
winning/contract.py,sha256=aET-59oPsfYrG0UhR2zWtUy_aO1VB8K7BcU3bwVZP_U,3225
winning/fastmvn.py,sha256=rFUFS23nc1YMIZYOjtstn0970XIEw8O8KKAPrp07iDI,7509
winning/lattice.py,sha256=-c-LX8IZEHytp3I4uW2yX6MQS-U77lyeV-cmCbsH9DA,508
winning/lattice_calibration.py,sha256=gG2h0MZ6zyW5AvB79EE7_G-PvVeWDWKnYfz1VDVQ8jE,556
winning/lattice_conventions.py,sha256=86KhiiVVoeCqsOWfaT25wpKVX_38c5xZBbTqx5eXIAU,556
winning/lattice_copula.py,sha256=ngB5df6ok89ki1Hk-rh07qjc5nCmo9TQh47BLsFYPb4,536
winning/lattice_plot.py,sha256=5ve40KZNLq5jWUZ_J0WVtt_RW6jtqoz842YFmysjGaU,528
winning/lattice_simulation.py,sha256=d4BI0VerNE7H-NQpgG_l7alEE7FCQWIk9d5YnYRCx0k,552
winning/likelihood.py,sha256=-n8ILEv4HN7gOEzkx2zUc-NhljKRBT_86idshY_fGiU,8149
winning/mnprobit.py,sha256=rJAThNHOc32UOsrNwxekrO_55B4P0Cpkcbzr7G7kWvw,7745
winning/normaldist.py,sha256=w6EUqVDqFU0AhhJslC4NRqkfYIcClwykvhwaW9_rVEE,520
winning/pandas_util.py,sha256=N-jni8sfK_5hpnJyTuvGEOBJD1JNSMAFQC2HbJxswgU,524
winning/rustconfig.py,sha256=aprc-6KouV3__9_nyZb9OzxO59CsBus_97INivXhGqs,1414
winning/scipyinclusion.py,sha256=qqWlzp0blFnAFg1634yxidMZEh3z2bSAurNxeSOE1vE,536
winning/skew_calibration.py,sha256=rOmk6L9PvvKmn5gLTwGh5nOyGbDx3BO1eTKgrAc7kPY,544
winning/std_calibration.py,sha256=B_8xud3sWi2xl9GhnAEZidnYo5jA2soeAFwJj_rCMw4,540
winning/thurstone.py,sha256=MoJ19dYVECCoKQMht0bxExZDkMIQXr70gr2ltkYPhzY,634
winning/alternatives/__init__.py,sha256=i9iZkg-D4toPW3wkPXRnLT3Zfg3UALb76LMWnMaHGGM,1317
winning/alternatives/cdf_grad.py,sha256=v4KKs833DL9FnP9Xn21EsicM1j7SlEB42DteuzLq64o,3415
winning/alternatives/reprs.py,sha256=VM8V09ZoFxnLYqGpXfzukzvZ7JVfNcZ8oPcF6Vb3dIw,2645
winning/bench/__init__.py,sha256=GRXYdJZWEOQDXRW43STOsvJaKMOYoEYw687a7Wx_iPc,211
winning/bench/leaderboard.py,sha256=KRqiVeC0RyZ2WaxjBlc8CdIPipbKyvTEYKqlss-TCp4,2672
winning/bench/mvtnorm_check.py,sha256=EzzIFBVh14G6PD0YU-KywWwARq1Oq4R4KSdWbSdiPbY,3581
winning/bench/runner.py,sha256=bIifMcVQDIP6wt-1siFVqsLODLvcAVRFmCteZiHy_C0,3520
winning/bench/season.py,sha256=QJ4dnpRlbhiQXRfQVpFaGF0MxjKwZ1DMSa8jEVqtmRU,1924
winning/bench/season_ranked.py,sha256=S15tt4lDs3RWzqG3gRf--vKnexUkg_iFsjcYIp5h1v0,2699
winning/bench/season_trueskill.py,sha256=0ZyKznx_vy6VoyJUB6HKNn3p76EnA2tTXBaoFccx0zA,2554
winning/classic/__init__.py,sha256=Tuh88nf7JJTaOauLpxqTHr0mCqQbsatlnN4JIcupTXw,2154
winning/classic/lattice.py,sha256=w1g0LY5oW0t98jI3XoMbhh-iSGJ8ORslXNNntASyj3Y,31738
winning/classic/lattice_calibration.py,sha256=R6PuVWPQukVgxolp5XsJsYkETBWmLSUpNI0fyM9a09k,8355
winning/classic/lattice_conventions.py,sha256=_tJE4jrfM8Q5HFmxIsAQpfHgUaz4-nDxfO5fZFX-DjQ,428
winning/classic/lattice_copula.py,sha256=c25EZNQCZhHRS2fJnZP53GM7ieMkQ4dtuvSCf3GYfOQ,3170
winning/classic/lattice_plot.py,sha256=RiEB0_n1evT0On8MQpKuZep7Tq7_CddfzsdqopFc_EU,743
winning/classic/lattice_simulation.py,sha256=gaSBCGBcy0p2PuHuj725ed1Gydg19v_mgRIaZ1Cwj2U,5594
winning/classic/normaldist.py,sha256=ignSajjRnJr1dJXxjr1Q4A_wPqUwNZjNRB63kGht5ks,1391
winning/classic/pandas_util.py,sha256=yEnDWFdBhTzuU26ucqGO0wjZc38JeZ24vs6e0L1ZfI4,3093
winning/classic/scipyinclusion.py,sha256=ztdutEzkcWKxopaaFFZ3tZktV6kg03y6yrwosDcczQk,178
winning/classic/skew_calibration.py,sha256=PlzQtyzSgBqM1_Oq26o1eBqdTLLhLQ5F3mAzPTLGKmQ,2590
winning/classic/std_calibration.py,sha256=qOHMzup1WXprZmDuPgWhanyYuxqHHuQ4mTm2clAVQmw,2278
winning/factor/__init__.py,sha256=PkxOq6PH4dvAGX5esPVygmRAffFeh9z1yeF3RqM_SCg,1037
winning/factor/blocks.py,sha256=kQ8cv4xippxaaY-Y6qvJynPbpOkLoNmX09NAeM70QLA,29113
winning/factor/core.py,sha256=jGNo4ae4mDcBuTf6FmypwB3N4HKIwM8az7A0tQqYjlk,39683
winning/factor/permutations.py,sha256=Iizeodv541n7zo7vCSRtj3DJy87O2fArvGXr6Zk_c28,7563
winning/factor/polish.py,sha256=VKE7KDfQUoxM2Nr4YIkRT5OXmyREYdn8lq8ovfalrDQ,14171
winning/factor/races.py,sha256=oDMPuPC_oytG2iMuHpRFUp43JzlD554k6Ria1tcrLM4,59894
winning/factor/structures.py,sha256=3DL2ebBu7FVxvI6qVMbDCHdjoKvOYK4-6fsNACeGODI,8319
winning/factor/topk.py,sha256=ZCCBHYGCZy2z-X-brmOgK0CCImzR33bNFAVGm5IoZdU,44749
winning/methods/__init__.py,sha256=XUW6tthb58Py7VuS0Plhfpm8vdQ7adbb4d4BAzwcMJs,1382
winning/methods/native.py,sha256=kVoBcEFShm2tCwzr00sszMd-h9X69JvSVh4YX8NwE7Y,8422
winning/methods/orthant_extra.py,sha256=GP7LiPh5bDNiVRoB7MkNJ5vkOhBeSL4IU-tTopm_BWg,7621
winning/methods/registry.py,sha256=1R5cj7I9fdwqQHFKz5GbyNItmX13suuiFDr_BSFeFJU,242
winning/probit/__init__.py,sha256=SZTV7VDEPKTHZOtpqlL0UwVuomk056T9lS5vDkKz1nQ,3791
winning/ratings/__init__.py,sha256=geUMdU63AqqUiGcgl7FwCBZ7RkagyEvJyFgR7FPtTwQ,694
winning/ratings/full.py,sha256=qV3CZjiiagH-IRjRYlCo8wqLEOUmAybnP0Qy51KU0hw,14099
winning/ratings/history.py,sha256=5AHJCcpaozcLDo8bLePw3fj1T9A6Elul-C7wwVp_coQ,15239
winning/ratings/market.py,sha256=mClIgHMuuooLGATZC5-iCtSjxZH6d_dpZeZs_kqVw-I,6282
winning/ratings/nway.py,sha256=bWPdj14JPG5KCxrkXH_Ddwm44cWxP06r6VVB44waf4Y,34765
winning/ratings/teams.py,sha256=rHmOUz_7n-ceuCrGrjMKZ7Vh7Ct_EwIAQN23jjaHhhw,3673
winning/research/__init__.py,sha256=dYaWdX2-KTgLNJmHx-8S7fBK4xCpRz9xUUvRHUYXQ1Y,2177
winning/research/adaptive_special_horse.py,sha256=dD40TxfFOsHJXwroEJVSbXFH5mLqP7wFrHMmbttxrX0,10835
winning/research/clustering.py,sha256=qjweKh1M6xGrqDoGmCVZ4-lmdc5Fx8OyQDte11G9bKw,6271
winning/research/conventions.py,sha256=pyc_8k_A9j1xho7DvinYkP_Rl3C8_zgNqwVUheCLJH4,320
winning/research/correlated.py,sha256=JKlczaxmfMXLn2TXqvrsqjeBIhajKvZBpER6cRFAV2c,12942
winning/research/cube_to_simplex.py,sha256=49ps2iGWLhH0-0pR6LQpuK6Q9beSrKZtrQeaHlz1jeI,7498
winning/research/density.py,sha256=GREvzTTvaged7AP3-x52dCWINHel4hSg535FNfzbFxI,6970
winning/research/dynamic.py,sha256=oPnROBCfZYaDJYQ2EjIumMXl4C1FCRCYDeHNN2Ibqa8,19691
winning/research/enhanced_cube_to_simplex.py,sha256=ynA5rqHwx_1ZhXIIS4SsYO_3UnsvJv2LmmNqcEytc5g,8012
winning/research/enhanced_optimization.py,sha256=mWFz0Iza2Agntvxa6zEmCT6sI9kDFr8lf7RItdhOUa8,14762
winning/research/export_data.py,sha256=1vgmgEIiK1hyHLdXAGWX5UyJ8_686dk4EcA3tzNH_8Q,10800
winning/research/global_fit.py,sha256=-Qpbo-NBIWFg0-0IyCLBhRJDwgvreR43nvM-EcnCypM,8023
winning/research/global_ls.py,sha256=prwJuSBlwFtpaa9qaAtQqr4jsq0lpX94YYAdCLDxnOc,5699
winning/research/inference.py,sha256=3O1fbpTGwS_8-jkflzAuf3bz5JwV32nHk3cltjwXTkI,14767
winning/research/kalman_tracker.py,sha256=OvIm5ir5O8rVs1oOOnwILE_jklz6r3-NtkgpysH0uOs,12629
winning/research/laplacian.py,sha256=GC4zMZ9F7pggiAb-c1VqgX-6Fx5wCiijGG1Y-4dv0f0,19266
winning/research/lattice.py,sha256=eb4B3g77K-kLO4_uiTuVbNFals_1HeaAB4kZQE72Lzc,778
winning/research/multiray.py,sha256=h27nvYG6RB1TNOFcq9IB2RoL1WFymxRKe1st3y2fmfU,11340
winning/research/normaldist.py,sha256=QGnQnn3J-DnPAJgOFEgHXu-AejHvsk9OUW7NYUUpp4w,256
winning/research/optimization.py,sha256=34MohY_AL9YdxQ_GhXBmZEMjHxUh2AbfuWew0fCGzos,19077
winning/research/order_stats.py,sha256=-iK8YLC_QqtcCfGb9rgc-31n4qFbleKmbI2NrPycizI,3428
winning/research/pricing.py,sha256=4-aH2_yEf37gItHdN44MhYt865paHLDmvIQpPJ6L8OA,4198
winning/research/pure_optimizers.py,sha256=sXOU67NXxoFfftkGNaWRSnAKfV_5IWxB0a47FufsMRY,10846
winning/research/quality_assessment.py,sha256=8ek-MRKPm7HoPK46bZUb1txp26m1AHufGIEX3nxgG8s,22479
winning/research/sim_world.py,sha256=CWrHHVpC6wm6-SJwpxJn80WtKNs0-1tEMGq5aClm5w8,5479
winning/research/visualization.py,sha256=Cn3C_wrJRQA-ouXkerwAXJaMTJy-57QUpJGbit42qP8,17408
winning-1.5.0.dist-info/licenses/LICENSE,sha256=-gdncR8bzZQa-nJ5MYEq0Hg74uYYsaY34u7TIjNJI7I,1069
winning-1.5.0.dist-info/METADATA,sha256=3vgrMV3T3lMiTfPeoi3r31xkx14uEzFqmq30CGc4K6Y,11356
winning-1.5.0.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
winning-1.5.0.dist-info/entry_points.txt,sha256=NgsKsjaiRUTpLd9C-R0uvPCaAnnrtyscG5dLrqP2jBY,50
winning-1.5.0.dist-info/top_level.txt,sha256=aT17AfCBs8Mv0sz1ZOQ-AGTSnTXOdLqYynE8PEaFVZM,8
winning-1.5.0.dist-info/RECORD,,
