superglm/__init__.py,sha256=wJMGeW-ulK7qIiGmPKvOgAMbL27JycljSmFteyxiNtA,10544
superglm/_blas_threads.py,sha256=FOCTOU0fc4aRuFhDnNiUPkuMW6eBiqto2cJriZO5l4U,12547
superglm/_count_lattice.py,sha256=PPRv1ZLPWn1PkUvMnkdDtjF79V69_vjGi852oXy_ZnY,6748
superglm/_debug.py,sha256=vdkjKihu8gtQXLq9uW-V1rMYKkKlOEWQeI3JCsLfZLA,314
superglm/_fit_trace.py,sha256=QmZTrmbDt5DiY6Hrad-THfeeTPzPGJ-1WCLHWl6qCmo,9433
superglm/_frame.py,sha256=eJ2mdxgzzOPe7urKtTzpfINwFa0zL0CW3JJIxEA795I,11966
superglm/_held_warnings.py,sha256=gP3MEZDzSQiNKuw4P9eTtsNlaOcL9boaXLQOsR--POM,3748
superglm/_numba_compile.py,sha256=TP0GsWLuVVBio3ZwU8AvV0LRcN0iQZY6ZBGqiBZe7zs,3876
superglm/_parallel.py,sha256=u2NW150WASb9R_O2SvfBkJof4nijI2RfSJ9mjU5yXH4,12571
superglm/_predictor_compiler.py,sha256=mG9KHd0sQ9DSJVeP9jvRcGCy2yo5nA8qvQPnUrZQp3o,31914
superglm/_reporting_state.py,sha256=FlLC_3V0jSbF4pM2jRVHNpFyo2CkvaSvBc35kd0W4BU,7308
superglm/_tweedie.py,sha256=Hluyu66J1tJosdyzIIpu5YCWp3EF6RFU4vdw65almmI,40958
superglm/_tweedie_series.py,sha256=mzaPgaOeQLRvCFDx79sX37c1VZ2FAZ508wsU-lOgm9w,6042
superglm/_utils.py,sha256=m_cIf6cEW6cx5FHwYHtvbc4TymwiUbA-7oBmmD5evyA,4767
superglm/constraints.py,sha256=rQDKatjMty4kN7t79yQj6aNxYCfBIW0qDciPWJJjcaU,28134
superglm/debug_weights.py,sha256=0Ceia875HUElQywym8UqmTObAE2fIxG6ISTtn6LnjyU,10793
superglm/distributions.py,sha256=-vvnuRycbfWExF0dnMNEvmiYClsY9kXSYBiYDWAg_0Y,34247
superglm/dm_builder.py,sha256=gjli97OEIcZNltBVceMYgtxgbLWR-Xa2MTNqpULiqzg,57288
superglm/factor_smooth_geometry.py,sha256=4qEGtlnXEQZ7278pMV4kKV9J1NQEG-xttjWCZasBHaM,2026
superglm/families.py,sha256=_HI3YE6YtO5kChdFAe8Y1DDv-53SzOc1I6Hk5n_oZi0,1470
superglm/group_matrix.py,sha256=R78ae-TA3TCeok25bDmnXH_3jQcLmUQYrtnBroNY25k,16964
superglm/links.py,sha256=XurnilKoHbWjR2-iN6XqzRySURJpmR2yJdwp2nnfofM,19791
superglm/model_selection.py,sha256=kKF8ys3WYzYiimtOwlreMPSie3DcCkqaRPrdAQZ7-44,43052
superglm/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
superglm/sklearn.py,sha256=91jQ1WSZDv4Hnho-7fYnVxX36W986CBPcbX91iCoVfg,33428
superglm/structure.py,sha256=ikQIH9e30h8Hy98gR3cpbbHXIJ_bpfTL9GAFQCLitrk,45582
superglm/terms.py,sha256=S41RCF0Bd1tG77WBuT5D3_42-iWiJrFUqULYsndGh2A,17427
superglm/types.py,sha256=kupPshlQL71si2L27sFnnI7QTBhuFrnB9DUH4ZuB2I0,21958
superglm/validation.py,sha256=A_47OgU2UfCkYmdwuoXOuUK36oYzwbmjbq4SDmZ1llU,44460
superglm/_group_matrix/__init__.py,sha256=Qx3F5VW-QUvsvhGv73eLdPkOsWvww1dInr3kxfRI3bQ,181
superglm/_group_matrix/_block_queue.py,sha256=qpoSie08BREOB5I4Yarv2N6k0tFpfwMWtFNIL9GC-Tk,15757
superglm/_group_matrix/_column_local_centering.py,sha256=Nw7qNnS34YIXvx9IlJIh5bvD1P0RlkjAHLqk3j_3zJE,18691
superglm/_group_matrix/_cross_matrix_execution.py,sha256=v_keUKNIsbgJdwfEZOAPwCarsDPW2HhYSXGnqV4jEMk,4626
superglm/_group_matrix/_group_matrix_algebra.py,sha256=OJ5lUXck8fvAmZSsB5uqPaJbyWHfZDC8cpvWQsxay8E,118117
superglm/_group_matrix/_group_matrix_bin_space.py,sha256=rljOXgSOk1ckYVPswzqCa-xPLxif9JyHPESzN52q1qc,15704
superglm/_group_matrix/_group_matrix_bins.py,sha256=okfbna9AMr-j7l_1x08g9AF3IvIXIU2OweK1KGC7Rsw,983
superglm/_group_matrix/_group_matrix_centered.py,sha256=JTzixwg0JqBqr0u3RuhE6S9YswVrySYVcxd6xZGi4W0,56352
superglm/_group_matrix/_group_matrix_core.py,sha256=DuRs4ARcwAcbF7CGIAwELIzQJDFBR9QJaOVvE_pSopk,43413
superglm/_group_matrix/_group_matrix_discretized.py,sha256=t_rp4GGEa_VWVbu65WWNBFEow8BbiBRpbmPsZNsUldc,32191
superglm/_group_matrix/_group_matrix_execution.py,sha256=SdQ_2XBR4z3UQjAgHQbNFZ4w3vpR1CHDs-ROs2o44iM,29877
superglm/_group_matrix/_group_matrix_kernels.py,sha256=RaSxrUgxvttYCyRiCMoDgfOTxX_jbgGu3GqK31mHGE4,42457
superglm/_group_matrix/_group_matrix_range.py,sha256=MqhtPk7TSJ4_KRKd4C1W2mRcoPrtbXgWvCo_REQ0ZeY,6525
superglm/_group_matrix/_group_matrix_support.py,sha256=tXGFndn5Dw2MEM5LYI4SdP7YnBODrySM8DUcKLBns9U,17108
superglm/_group_matrix/_group_matrix_tabmat.py,sha256=tJ0QthXKvEY_w1h2c23XQ77xhq36y-GfGhvKO-bQxHc,11791
superglm/_group_matrix/_row_lookup.py,sha256=pdhJGf5p2Y1VttA9vY_UtFGK3gEgs5VOBp6OVnyv0Zw,3755
superglm/diagnostics/__init__.py,sha256=XNgUFG7eBKU4jK1YCmc-RR6w0agN6cY9LSfWKsSJLWk,1079
superglm/diagnostics/convergence.py,sha256=990Z611lfo2Wx4NYpSsuHG683yDeOUln6jfvNgY6RKE,10196
superglm/diagnostics/discretize.py,sha256=o2i3FMAVI2nCEyQzvPrAN6gg5SfTWH6ag2-bWAHVwoY,55574
superglm/diagnostics/exact_banding.py,sha256=BCEZYTcneRs9vUKKCGqVGPf6ZSHnr7fSWjJ8qypVHeY,19780
superglm/diagnostics/fit_report.py,sha256=0GhjocLlA6uwli8VXVAAybZoxC8CMXxd82kTqhnel80,37145
superglm/diagnostics/separation.py,sha256=Bs-uDHGTDnDm4cbeoE4c6KFMZkhoWysPHXY1-cnFp4c,21878
superglm/diagnostics/spline_checks.py,sha256=40yTJvVDMLM7QYewatM8MB8q-40SZDsYofqpbYw6LUg,7207
superglm/diagnostics/term_diagnostics.py,sha256=4yzaqb2Fhc2aqLpBWU71UZ7tuUezR7Ras-1_U8p9ve8,15650
superglm/distributional/__init__.py,sha256=JzL0OMijYW-w_0E_XS7CwBDBP343WKL0Y4QyUhzz3Pc,10637
superglm/distributional/_global_moment_policy.py,sha256=LKNTUHewR5F8NwX4UJkLpDoA8E7GQqgV9heBsL61oTE,3535
superglm/distributional/_panel_policy.py,sha256=hudw1yrwlM3gFHvK1Isiz1aarDIkTwJ0GeYR3v_JmUo,3019
superglm/distributional/_row_design.py,sha256=kzHEfLcXyXhYrASaF1WkUStmVKaXdTsAviojQy6DRno,2220
superglm/distributional/api.py,sha256=xXXAfbvlyiTnMM91IV90276fTyImq00cVLekC1nt8MY,83212
superglm/distributional/assembly.py,sha256=H6e0Iseq_74z9H5RvGs2V7tRhr8cEroUTiE0qOLRiNk,807
superglm/distributional/binding.py,sha256=6faMcOXgk5HVUVfuZSSyYAOphueYhD1BQmycmOw3K6s,9428
superglm/distributional/chunks.py,sha256=-Ffy0X2uJlt6nJYV_7xqGK3yWn6qa74OdR543LIWG2g,1843
superglm/distributional/curvature.py,sha256=Rs1oyKq38TR8JPOr8mXbECrXkGVbZs9WGav_tQvRK1o,685
superglm/distributional/derivatives.py,sha256=TpRK99Muf25Kn9wzvQG-KwhTMHbT5-v6es_6pIpQBnc,630
superglm/distributional/efs.py,sha256=CVETD6VOxQK5-tUpdz4CCtA5bmxX0-Q4JMWHDFCmeYk,4273
superglm/distributional/efs_acceleration.py,sha256=FtqzzOq_FnVjk9eUuYdhFwobe_Cwfn0jna8eGIjciy4,739
superglm/distributional/endpoint_direction.py,sha256=H1uKsVdWNJgH58YKhnAASCa7cBF90kRa2z43p1lnhUI,854
superglm/distributional/endpoint_laml.py,sha256=QBBzGUldFGBRXDFh7EmPxjsyGGXCjIWA2PfijZHQ45A,1808
superglm/distributional/face_efs.py,sha256=PvOKUFJRCMI87T0xL0EszMlxU7VqlrE9h9us1I2q3ds,858
superglm/distributional/family.py,sha256=0HTwe1cqEX5UBvvXlXqI1cU9ZgKjG1Y5XL9StVJaJns,25497
superglm/distributional/fit_diagnostics.py,sha256=N2qDKqFrq0RcpdIByDFz3Kveftlfn8Wichv-tFunmKc,68837
superglm/distributional/fit_state.py,sha256=cxl7z0GlkKTEP9SRdoWk4tRkzlDuKAfuVF4MTKHBnto,27416
superglm/distributional/inference.py,sha256=rVGP5taiFPp_XUSfbUPpnj2OINI2KZEVSnufx0UfkJ8,12757
superglm/distributional/layout.py,sha256=CE7JqS8sr-6j160TQZliej4RYfbYyFUnKg_8MmLSGdQ,14172
superglm/distributional/model.py,sha256=Qo8Hmp5VRpi3Q8g7uhjEMQhNGEU9ohQCHWGYmOF3zpw,28308
superglm/distributional/null_model.py,sha256=h5OZOTqA51jXdJ5Lf4AqlbdOf7NaAPAaVF638GFPyr8,12944
superglm/distributional/packing.py,sha256=pvPZ_U9COfGbOGoP2Z2ZnPzkszHm0gzrhsMocMHVFIo,220
superglm/distributional/penalty_face.py,sha256=qQLdTXY7MjaKBQx4eG9HZIuTaPL-RlhK1bOMqTYZQ9g,780
superglm/distributional/posterior.py,sha256=czjUG2shAVu6mrek3tBofLoPHmCwPm0Mavg4TvRt-7I,54395
superglm/distributional/prediction_design.py,sha256=BUcHwph_GUzY9wa1MGaLnygNn4fTYbFsmCHP9ykm33Q,11329
superglm/distributional/predictor.py,sha256=L4t4izFlLwbUZTp_f_tLLA9mLM-srbb7RoJWQGXEoiY,24598
superglm/distributional/residuals.py,sha256=i_C62xSa3wEKU4xui--YuXZ-atdt3LaSL3DlRsLJHQ4,19539
superglm/distributional/result.py,sha256=7OUg_FlN_AIN97nauIN47zZwmzje1ATcB8sGwKf1xiU,2603
superglm/distributional/separation.py,sha256=cmkNqzJwJQwxZzp3Z4QKIRlnImDp1RrdtRM6MQxrin8,4689
superglm/distributional/serialization.py,sha256=O7l-yqcGaNN3xTzF9yuWyZLGEzDQBj1Ql9rd6tFwJBQ,61959
superglm/distributional/serialization_schema.py,sha256=LFqxKM9GVimQk_3WlIiTgDsBQkZOOyB-2uM6hfEdPi8,3288
superglm/distributional/surfaces.py,sha256=PqOkpwJR43mTYOmubr36tBM0RFdHf45hf6033KTDuE8,38729
superglm/distributional/telemetry.py,sha256=f83bGo4w8Km0gxTWpVVzKidGOdZvJlERC5yrjjVWkoo,3525
superglm/distributional/terms.py,sha256=Yi8UKqE0MAi0w7IfABU48KIycLiyOCKwmefgFFXy4f8,36769
superglm/distributional/timing.py,sha256=ho_BJhj4xW3AqRJJ7uyYzNWEF8XFNgLswrbQ1lSkWKk,10993
superglm/distributional/weights.py,sha256=GgvfRdi3SmlQL_MH9QRdP8RJGmgkIS5QQlHdxafPSF8,13202
superglm/distributional/checks/__init__.py,sha256=yiWwICQK_AmrEwHqbtOEoidnXXgX_cziWLkASRfSOMg,396
superglm/distributional/checks/_aggregate.py,sha256=sPEkRJ14AcsaaKF13fp1qH8vF_IxiWuV96PnA6B_Y-Q,4322
superglm/distributional/checks/binned.py,sha256=F2tjnV5xPmYdv59z31VPjhtHfQ7Svf8jnXiQuH-jHJk,13112
superglm/distributional/checks/calibration.py,sha256=WVz4nx4jDYiMl_vfXSptKN-48iIjF8B3xkpAANe4jfs,34918
superglm/distributional/checks/compare.py,sha256=_lzMrOZShbWMueCBxOxLU-tB_vr-IgcVfQDEnnwNrFs,22408
superglm/distributional/checks/pit.py,sha256=LiIppZC_SGiSwUrDFiwUFTnNZ53PrXUqbJahc7HP7JU,4817
superglm/distributional/checks/qq.py,sha256=66paNXXDm4mI12-PeviQVBvS-FhegTWNuoZT2GejUe8,12340
superglm/distributional/checks/scores.py,sha256=PEx12cqEKNacARAb33quCyObNQcW37mRXgOfFSaQAC4,36683
superglm/distributional/checks/worm.py,sha256=qGoN8nvqPs_Jj6DT7lWXM39i1Bep64i-Z9DzhuzRFrQ,14881
superglm/distributional/families/__init__.py,sha256=rWHJ7SXrJtWoZ0wA42aHA4WfHMgd0uDqImCzu6X8Kp0,1757
superglm/distributional/families/_base.py,sha256=mP1kmSwURXQSFw_Lo1eCC_rByPL39d15XCB_nql3I2c,2840
superglm/distributional/families/_links.py,sha256=adEez8ZRaoNmVEu9a-GSOGzNR1EzjTqBjaFhWY8_SQI,4704
superglm/distributional/families/_predictors.py,sha256=dSBu6rcC_A1bIINUMWGwgRRpM3C5qLQ3KDGxPRHlEvc,9500
superglm/distributional/families/_variance.py,sha256=yd4A06HhW1uNZlhfrMJyjdjCal2Yyxwk0w3qoLM-l98,541
superglm/distributional/families/gamma.py,sha256=a5Im_eEM7GCZiKBFYzBvbyAQOoN-RowdEJDA7Yz2-dw,20295
superglm/distributional/families/gaussian.py,sha256=7l47MXbyOy4LEiPXcCXCsU9IJCMrj-MxB359usZeuek,25286
superglm/distributional/families/generalized_gamma.py,sha256=MQ6LBgP7WtRYlNFdo8_lIv9kDRd0IqCuQiTK8tmpjU0,18679
superglm/distributional/families/generalized_pareto.py,sha256=hWt3NKHwXsKJJd9PWL8QKdX0Ta7S92HYjVfp7_7EygM,15989
superglm/distributional/families/log_normal.py,sha256=h1oYvvNwgsLJgeuQVjHfguPIymERueEpjWqmt2jnmIA,18775
superglm/distributional/families/negative_binomial.py,sha256=bm-3pMm68ctAEiHg-jFKymMxrrbOuZOPhkqLsBnW7gE,13723
superglm/distributional/families/tweedie.py,sha256=nqtAKBaAiRazWHBSCkxbXI_KuQJYJJEAyv21aLRDwko,36865
superglm/distributional/families/two_piece.py,sha256=e71ai0boIXBpBuqu5b47iWz-EnQK4AOYeRu2pfpfnPI,26073
superglm/distributional/kernels/__init__.py,sha256=bDeKHRyKDslClVhar4-3p1c__s3fCjtKbkF9dsiNhPs,56
superglm/distributional/kernels/_common.py,sha256=bp1FNSshaujn753Yo3tq2HPse_SODmNBm47wWqQN8HM,3083
superglm/distributional/kernels/_tweedie_numba.py,sha256=B7vbrRrdOif0sgvrnYngvraMMSX0fPyPRT-LDTMF-Fo,31798
superglm/distributional/kernels/_weighted.py,sha256=NAd-c2TD7gZynXkwGBiR5xb93jSlfJlCvAYkP--Asy4,2277
superglm/distributional/kernels/gamma.py,sha256=6FyLEIC4CqwkPJnh3zuwAXORR3s6jJZwXFZ9oZl_iMc,45013
superglm/distributional/kernels/gaussian.py,sha256=bl3svZQrFuZjf3e64lOiOt5ocO5JiH-53KZWykK63i0,14026
superglm/distributional/kernels/generalized_gamma.py,sha256=tmsccA6p5S-n9AGQ9tcrptYlJM7jQ0dKYedTB8G3_Sc,57346
superglm/distributional/kernels/generalized_pareto.py,sha256=YwMIEDP1kVcWTTxtNFfkCsp_M7RY_Kt2S8WbLK8D6ng,16885
superglm/distributional/kernels/log_normal.py,sha256=J_HWsOpWy7-MIpMf0e34Yb-mvnYC2j_tEZvul0KtCUo,15834
superglm/distributional/kernels/negative_binomial.py,sha256=LBWU7gsjepIZ2H2GMRBSZMbCOqubHGC24XYrkWsfssw,37768
superglm/distributional/kernels/tweedie.py,sha256=MyTWcOveK7BZyGfubG7yJYTXWDCWRj_ro7fgcA8MIjU,17840
superglm/distributional/kernels/two_piece.py,sha256=ib8v6-sDrD5dIhA5DvlN31hOcin3kQshfXSANutqn2k,22865
superglm/distributional/results/__init__.py,sha256=oQOwgIfd97gEI7CRFn9nVTc2Rgc06fB9VKPy4TYYwcA,65
superglm/distributional/results/endpoint_evidence.py,sha256=yvAiEu3VlpgWZkVKAd0zT7VCe89bJw8LqdAobiJwE6Y,13287
superglm/distributional/results/fit.py,sha256=d8seI9VOazJ882gLbVHPnCIJeYMswrogQ5S3DpFKtJs,7294
superglm/distributional/results/iteration.py,sha256=VUzs5SEmvzceWajsrqY-59_sj8AjyzJ27_Ja06bmuv8,32558
superglm/distributional/results/smoothing.py,sha256=jY-xkuUUdRm45BqTZiz6sQQhhYmu2yxSQ2biNaX90EE,84773
superglm/distributional/results/solver.py,sha256=yq61GxBeiWpuyhCxqzrtWRAMkrWf25U6weTuFz0Dnrs,61821
superglm/distributional/smoothing/__init__.py,sha256=tuzR7t0j6Z_CWLP0NhAyhdy5f6PeRqZ2_npmMlSEDQM,79
superglm/distributional/smoothing/acceleration.py,sha256=TdZnKqlFVMZMcTrKiU6l9sVAmNDDM66UPcYZdK4fDMM,20784
superglm/distributional/smoothing/authority.py,sha256=RXS3BvaNAdBbClJNlJvu_F0iQrc1A-Y7Jqu1IfurhMA,17362
superglm/distributional/smoothing/derivatives.py,sha256=20aPRIcz6JMdLNCS-6bGStchnJySBAcpXkV0SdCK3Iw,45399
superglm/distributional/smoothing/endpoint_direction.py,sha256=1hwWQ3bERsp0GEGqRlVRwN_g3Mg2BqS5JS8wwoEjOa4,14426
superglm/distributional/smoothing/endpoint_laml.py,sha256=bMt5xb2CJlI_KV2DTwO1tcV0oa6Kp0QRuMtiohLaWV0,33912
superglm/distributional/smoothing/evidence.py,sha256=bTogqozTY7TluIjIwhhK-brF5TOwxBA6wFJP4mPStTI,6143
superglm/distributional/smoothing/face_efs.py,sha256=Jq6jYio9DtQBNrLGEJ-Ogss6Keg5j6ZE4fJxi9tVLbw,2309
superglm/distributional/smoothing/faces.py,sha256=HFiTzDnhTs09WY7kFveROCeWZPbmQq5ILlSJHWZHIqc,38981
superglm/distributional/smoothing/history.py,sha256=DsJMcarU7d4VBj-hY-pLXRQ0bH46mrLpY8y5pNdM6Lc,1609
superglm/distributional/smoothing/initialization.py,sha256=1Hb0V6o75IheNugXZAQlTYoxo-Hn2fvVbATcNet6zYU,8560
superglm/distributional/smoothing/loop.py,sha256=Igr-8tT7Y1ciRxV5bFg1yK-EHfaOaN8G9VsRx8IfemM,67158
superglm/distributional/smoothing/newton.py,sha256=bQnt-3g1ipqeTTGEFQ-1o3DPRiuPvrqEUB5C5lTQSrE,53066
superglm/distributional/smoothing/objective.py,sha256=HLp0CfWNifchSdTWyYa4onaxkoVNoTxSio3GO0X1baE,14724
superglm/distributional/smoothing/penalty_face.py,sha256=OWQE3phqxJ_2-Tvu4uf0FQDA1jqaBDNPI6SmKH9LheU,19476
superglm/distributional/smoothing/penalty_geometry.py,sha256=ysgDZtsTMm32Z5bqokubaJ3bJPtTjHZsM96j0cK2tX8,13835
superglm/distributional/smoothing/proposals.py,sha256=AljZGg9vbMyhdlzgxGLJGTJdgfKZRVh5kweswRBU0XY,4537
superglm/distributional/solver/__init__.py,sha256=HJrNcKYQ5TuwWTw7tAI3hqYB_gkXTrCTIMT7vQCfbt8,2736
superglm/distributional/solver/_batched_moments.py,sha256=TtfQRTuXvUgteZ-YGhltxNUH6OLbp0z5iYc_Et3J0IE,16722
superglm/distributional/solver/_global_moments.py,sha256=Ll40r_yXPwU5aqjqo63Y3qrat2ylO6nZTOm8aBcC3Wo,45723
superglm/distributional/solver/_likelihood_cache.py,sha256=WicsChQQsWXOQiqcxKuREPXlw66-0P_UIBQYwiKioJ8,12478
superglm/distributional/solver/_ordinary_packing.py,sha256=pMHgf_dIoWzJJjA1oIhui8-Bx-plf9xSKLrBu2XtECw,2755
superglm/distributional/solver/_reuse_digest.py,sha256=-HG5E3gH1AOCyMII8bzY57iwfCWpNgw2TyVzCenEsJY,4625
superglm/distributional/solver/_small_group_panels.py,sha256=NJRulBo7twr8sJoBennyAPRNcDmRdHxvnZlNUtfD-J8,24280
superglm/distributional/solver/assembly.py,sha256=qHm6gYn799W08ApNqDSJ711iELw20at6HMtFXJTJfWU,19898
superglm/distributional/solver/chunks.py,sha256=ubRv3hz4rV4Z-PQyB2-NYFUTE6KqpExndMxVbMeeCqo,40605
superglm/distributional/solver/curvature.py,sha256=SbByw-pkFIE8dJeqgy_K0JNU4AqXnqQZz2z4v2xTUb4,8916
superglm/distributional/solver/derivatives.py,sha256=6lYKcMKcOg3FKvD9WnGdyKS3mE1WCciYzJayh429ygM,11738
superglm/distributional/solver/packing.py,sha256=N86BxOvH62ZJrSNOAvNJQK3VZaqVasDdXzrjiVwyu6w,804
superglm/distributional/solver/solver.py,sha256=Leo2EFIA6CjjIB0DBJsBh8E-1D8ky7225W2dSf3Pvh0,86674
superglm/editor/__init__.py,sha256=an1QRoxDx0tVhcJtBcoE6CF74uephyO7k_MDRkZUC4E,216
superglm/editor/_types.py,sha256=FpbNFpNfK6UdSVV4IjjibWQ-JM8cOFHrd201nRI-YKg,4846
superglm/editor/apply.py,sha256=A-9MgHPIj_lJbNFiRytl_e8UFDmI5YoVO-PsbfLWsRU,33650
superglm/editor/assets.py,sha256=HLn1ZW2KzTajrk1Q1X3jAgMM1_tBvtLUTw00Jr3lqkc,1219
superglm/editor/carry.py,sha256=9vFxUqKMpV9zsOp3txRlLJ1JwpLoVSgn3O8WE-2KI1c,7548
superglm/editor/collapse.py,sha256=RWUq92BQL7EiWHCjc82GVKg6Eb0wpJUUmsCEahQp5og,26966
superglm/editor/controls.py,sha256=IGFxhFGAtpoyOLP_ijDFPi_aZ3qyLlcvSwuElLpucBQ,25412
superglm/editor/cv.py,sha256=IoYhpcNAcVmwJF4z9g9f0g3kiBYcHJwHcqUP3C9GB5A,54945
superglm/editor/errors.py,sha256=TwY_c048cezogBomcCV2u7g82wU6ECANqcAl-p-wr80,866
superglm/editor/evaluation.py,sha256=bhd8My-yKA9EyHoG-pSAgXI8dB8qPvEvYNx8YIzBAX4,6054
superglm/editor/evaluation_cache.py,sha256=xjx_PI1WKkwdrlIi442QRx43iTisjZUozslCTwdBOmU,3660
superglm/editor/evidence.py,sha256=ccpEY6zu_nv0pdLhqIpjcyjbM-LPV7OQHx1NioEpufQ,4828
superglm/editor/group_display.py,sha256=PWC9SQ-B9dD3-z_rfKsOvGSS5QzC_QrJD3Su0Uj2tSQ,4656
superglm/editor/io.py,sha256=ndXUcfyTDNgwx-eqRhPTR96KVXHO7y4Fh6OA7fQQpN4,4206
superglm/editor/jobs.py,sha256=q4hbLN4ITbtDzq75CvZH3UTANMMRcaS5IyihMrV78Ws,7783
superglm/editor/level_order.py,sha256=8eF-X2OOD8ufmVIf3xLXW_UyMIYW9UwmNeHA7E5Q8_E,2051
superglm/editor/metrics.py,sha256=lqxKMxJn6mOOHtQC-lM9AO4x9sjtCRtNoUH8QdA8mVU,9422
superglm/editor/native_dialogs.py,sha256=sO7djaFxqSukSZEU8tdfxqhP1mqW5RT-G630XHnd4n8,3354
superglm/editor/notebook.py,sha256=isp_fVDrt2-jRXhMGz5ihEJzoW0yUOsvlGqVI3Hm6lk,16456
superglm/editor/operations.py,sha256=IshmlWKWyIKigeflbL6DESlHhMi--IMAx_7mvhDNtiw,6384
superglm/editor/payloads.py,sha256=uV218_7cmu0LyLDw2vZfpIAslb01binONIhJjWmSDOs,21582
superglm/editor/persistence.py,sha256=zzjhdW4dbMIxWzMRbq2xyHQP0zLl0AphRtnesYdLs4E,13202
superglm/editor/rating_preview.py,sha256=ecia2k3n0Kn5w8XK4c8oyITSv_o1AUVIwPGabfRKzB8,4478
superglm/editor/refit.py,sha256=eI28OCHlvlbskJ3fGzvV84HoD3JFWimc4Ymj4HvWBjM,1399
superglm/editor/reports.py,sha256=RICabrEcPnTNBw3oip_xkGPzrTvFLoP4eZaMnj2_zzs,6558
superglm/editor/server.py,sha256=MZY69G9PteOwWga0pyybkYGWl5N2jQhNlwHpD9XfoDE,24647
superglm/editor/session.py,sha256=2SS_oaIfpf3tb4v5b8CaaV8f7ofW-R7KRlOWa-1nOe0,84898
superglm/editor/shapes.py,sha256=5qZXAGKiMoP9OkLMEDXdlmHfaCqUspOvTC4bdiP8ngY,10832
superglm/editor/staging.py,sha256=qVppchajWZteiUoEul1tIRyOBTAyK_MO-ATABUF5l94,22206
superglm/editor/summaries.py,sha256=qPwD6Sc2VhiwirMi42YHVRnFVQjtU74C_rrtJQBp1-4,13934
superglm/editor/terms.py,sha256=AL4L6Iw4NY7Zcn2XB4lpZiDDaiDQ9fu_zynP8VS-u4Y,12967
superglm/editor/unseen.py,sha256=UiY3Vcyq0QWUrRA9UW-xpSp-N586viHxsIzaAvemfFA,9440
superglm/editor/widget.py,sha256=k6Pary8QpqVvDOzw2Jo7SghbJzLf1NYmHdlLHpjRMhI,59254
superglm/editor/app/__init__.py,sha256=2rK-Qv-GO4lDpE9JWnzBJlr4mR9cQ3Y9rh5cYwKqhBc,64
superglm/editor/app/api.js,sha256=4RRtAd_6diFMtd4meru5vyVlATh4kiKt4xHDRC4Fn2A,110
superglm/editor/app/chart.js,sha256=_nuHAnNj6wUBcGT7DUpcmSIFnZmO8Uz66a6WzL0mGZE,50820
superglm/editor/app/format.js,sha256=B3XRysw4Ve7k-076jevygeP7lfz-uiGc6-r914E47oQ,2072
superglm/editor/app/history.js,sha256=G38ld7VkngaaljBBPa6MMtORMzQ4XGu_zt3649JKmck,15461
superglm/editor/app/index.html,sha256=ODR8m3f-KVaIh9zoUuzEfVF5aC9nd4axNOVMVKPb66I,41252
superglm/editor/app/interactions.js,sha256=0zzbbU26Mvfwn7HDeH1UN15TadBmqlfpqY5Vz7dyBjE,34740
superglm/editor/app/main.js,sha256=WGXHcpSd-_-7SL2BO07JLHIEYSDIbTIEarML7m4B78A,71349
superglm/editor/app/metrics.js,sha256=9tx4DVIzZY35atekIvNGs0XfC2zPSH85NcftHIYevcE,2951
superglm/editor/app/reports.js,sha256=eqZayXFVHd4jlITwEjJ3f84Qq0Nz8TybdHfFYt22ZY8,7592
superglm/editor/app/shapes.js,sha256=yw75Hgt2P_dm-Ay1oYQqqZk9FQZWfptHPXazELLS__U,7512
superglm/editor/app/styles.css,sha256=Qm8_9riSKjC9gK2xZstwISLNEE3pcxbK_09uux8C_JU,34030
superglm/editor/app/summary.js,sha256=h0aN9_ukf7sMg1BwAbyPB1tMouk7nuo1qDcgjoXR3hQ,37654
superglm/editor/app/api/client.js,sha256=mo2l93XY3JbnT3s834AEOnIerK3W-jNneHX9W3JL72s,4345
superglm/editor/app/api/contracts.js,sha256=qete8UXrjiJZH8sbhFeWcPtmWx4ZIQa3d7I3F-kAzkE,16094
superglm/editor/app/api/notebook_host.js,sha256=-mEIjMsjQkX0q-aXWWLWXpNf4ex9EY04i5MyWjFFaGk,10872
superglm/editor/app/chart/anchor_marks.js,sha256=0cHiUcYvfp0b_xJnR2_-wvsEtvApnPb7KmBpZzNDsb4,9577
superglm/editor/app/chart/geometry.js,sha256=-mWXgJ4IGPstcNxj-Obnb44SmOBXEi24s25L9EQprjI,13045
superglm/editor/app/chart/ordered_spline.js,sha256=tl1AO_v6lsrvDA7E6_HDTVgC8ZNPZdJSIsN0j7yZRSo,2554
superglm/editor/app/chart/pending_overlay.js,sha256=UFxcL7YNLPt8P6GWyTKq8vQ9bZMmqErVhnuLW1szQMs,10756
superglm/editor/app/chart/shape_overlay.js,sha256=fwh17Y7DaAfpwvavYRqp407tSLJflEurQKi3GiVGnvg,2715
superglm/editor/app/chart/svg.js,sha256=3PVr1ZBnfjuwxCdNW9Qnt3IywfkMzsRs-fNmk7-ViyM,1121
superglm/editor/app/state/actions.js,sha256=bNmeG8jtcDGw8tx33jevY37sO5cdeZZrA3Wzi7LEuv0,25771
superglm/editor/app/state/selectors.js,sha256=lkq_Nftg_jRD_warNAGojB6HLb5higyfiL95zBhc_Hk,3869
superglm/editor/app/state/store.js,sha256=CbfC-8LqmSabglznrS9Fit8TmmviNQapMGmbScK05rA,13374
superglm/editor/app/state/timing.js,sha256=89WQDRiQh5umLquV8A0TFfIHsWsK5Ka1fgv0JvkCRuA,2408
superglm/editor/app/styles/chart.css,sha256=pZOi1bgm-_nbRGbqTxpJczKih52O-N0BTb33VlJ7oy0,3667
superglm/editor/app/styles/cv.css,sha256=UOTg-AGqQSEM8Ix0yLotpKFpfi2gVh8sUO54Tfj0q7k,8246
superglm/editor/app/styles/dark.css,sha256=IoozVOpgzJEkRG7oEzPPXglgUdKitGObJRhTTrF9Lpk,4006
superglm/editor/app/styles/dialogs.css,sha256=WVZO0bc-GXxqntMPGhJ_Pd-GvQkADk-uTRVRYEo9xbY,7804
superglm/editor/app/styles/panels.css,sha256=wuPHI6p9IXm-QT1jV_1-vRZPUaMYXANaqZxHax0nKwA,8222
superglm/editor/app/styles/shell.css,sha256=byz2RjyPZYafClXPLN39vXlyn7HwK4t26qMdmbYyM2s,12272
superglm/editor/app/styles/tokens.css,sha256=lAU6pa79x0_hRPHIRdpAW4uSrlVhafosU_Wwc5EpTwM,4953
superglm/editor/app/views/app_bar.js,sha256=4uvJQ3QXGoAhqs58V0gtx_oQ8AOPB7kaaSZtNrLB8pI,7131
superglm/editor/app/views/context_bar.js,sha256=Zm-2np66oef85XIRzomXpDS8tpURM_qXR3DJ4pPIe68,5439
superglm/editor/app/views/cv_tab.js,sha256=bkYcUSkjexZvP2xWHdMF5oxvNnM_s6gLWN6lnqgK96Y,43741
superglm/editor/app/views/export_dialog.js,sha256=XmIf5hIsEQUzP2fsbJB_y2P6iF-xPY7uVVBjVjVKeRs,9961
superglm/editor/app/views/feature_list.js,sha256=GdciyrgvKrB-LZI9Roo3RDdPsxEM_bmNiABS9ho_HLA,8673
superglm/editor/app/views/help_content.js,sha256=laKCmfs5PT3T9PDZHsyQzSXDoDgxV3njVKMjBRdsjkI,15565
superglm/editor/app/views/help_drawer.js,sha256=RsSQvizPlqlfMiEjv5hPiU8sUZgFSp6FHfKkjywiXtQ,1343
superglm/editor/app/views/inspector.js,sha256=bI3JQZc0RvGltAt1v0OfnR1kGwbxWKcxKQ28bUYX9aY,5312
superglm/editor/app/views/join_toggle.js,sha256=UikYyidJKzjkZw-2vj82fTsVoY4eJzAswWwjY_aoaEA,5129
superglm/editor/app/views/popover.js,sha256=Il9jPcATlKpdOdQ7rvp8RzK0CRo3t1dnZwcsZnkzKOU,6488
superglm/editor/app/views/rating_table.js,sha256=cYOMHklORmcFvH9cAxsoL4wjkTMM_LOjJGwTIVEmDn8,6200
superglm/editor/app/views/settings.js,sha256=LimZT7USMNv38ruS-gfPkEpdzHHP8H305CxfAZ480Y4,9913
superglm/editor/app/views/summary_view.js,sha256=7O-ssH8BkKVTyTqYpVYYLqM63mRl_ws0g9XxelDYNzs,14485
superglm/editor/app/views/theme.js,sha256=eTaD1fcooW6waal5n_5h7sMONS2CZSoIpdMLqKBE29Q,7804
superglm/editor/app/views/tool_rail.js,sha256=GhGnqc6RDIXThuy_IO3eu3SWUiyFMq-nmA54MDwMx90,5341
superglm/export/__init__.py,sha256=uiTmikLGCiK5kch8LOqxpsKp2ckwUNi8Es2x8WkSJJU,226
superglm/export/_ppform.py,sha256=Wb8OcfcWZ9WBnfb51vytTKxvk2ST0PRAxWdH1mQy1I4,10135
superglm/export/excel.py,sha256=_na0_JktfqWomJiX4PRyAJs2gOqlKJQkP35ckI5eDvE,30384
superglm/export/rating_tables.py,sha256=pyMAulMcx7bOylFXpTWQElIzt1U73dRmK0jZoNbrQyA,142910
superglm/export/summary.py,sha256=aZt5pgl28jY4tNzDO9MLgG_F0rrGbbYtR_Y4G9VY5xc,18464
superglm/features/__init__.py,sha256=rxyqynhN-YQbfKP08pLDNiRo0EsndH8u-eYEtdv5v3A,1215
superglm/features/_level_source.py,sha256=dK67KhMGPq_tKicS6r4ioxen5e1pN7C9fKos-tz0bMY,3765
superglm/features/_spline_build.py,sha256=EbF4e2kHaN8X3659WhMdbBG-f4oHXRUPihNllwJCH4o,11723
superglm/features/_spline_cardinal.py,sha256=AFv6u2qRJWxEvBAiqQu4NXmDbO3XRjtXQpDPVUfwUkg,3226
superglm/features/_spline_cardinal_spec.py,sha256=5pXXIlwP1fhLf4XltZ4STS_CVwUH6sZK_GOfZldhXUQ,3642
superglm/features/_spline_config.py,sha256=LqL0LexHwgamNneDxSx3o_xoiU6OuWsIf1Su4HTfJ38,9060
superglm/features/_spline_constraints.py,sha256=fM4BBhRLSYvqhm5FUWsEomrE6TcvYciLVa6HAoqJaWk,8912
superglm/features/_spline_extrapolation.py,sha256=4FAjXtBBNwt2IL9se3zvTMXasIUMvlJEDXhxhkfhy8w,2183
superglm/features/_spline_factory.py,sha256=cRHBr6tngmB3Mrv1zRokP7lqDiGl8zNZAMqP5YhK6-M,5398
superglm/features/_spline_identifiability.py,sha256=mL20zAu-fc9dGf3MSYvrBJQg39qRWCqh0ySBtklP3z8,3784
superglm/features/_spline_knots.py,sha256=2v3N_RRZW72A8rlLzjjnF73nh7P05S508oPIys8zspo,5904
superglm/features/_spline_multi_penalty.py,sha256=MfaWBx8l1duyz67BhaIExcho-EqmQpGstF9wFd0vv9Q,1057
superglm/features/_spline_penalties.py,sha256=q-8X1IzEmaz4-rtD27gNHSyq82l2MVrHShPQ1IHx0YU,2916
superglm/features/_spline_ranges.py,sha256=nDbMH1vksorw1oLlmVYowkJj6Ht71N6sJn4B3W6S9K0,15420
superglm/features/_spline_runtime.py,sha256=HsL60N5vQe7dAuc_T56g-H0uZLnoK-aF_pwov8srQDU,9807
superglm/features/_spline_select.py,sha256=trOti8xFcCz3T2IPhqXh8ax7I7iNwvZMMN_VwahBWqA,5844
superglm/features/_spline_subclass_ops.py,sha256=R7Fp-yKZBQGHtUkUOEyIYREd-U5bgZtjz2IWUp_JEn0,3444
superglm/features/categorical.py,sha256=QOwXyAQDRxxwEo8AkfPcL7ZX2YpentOTG3VP9rmB8-g,31084
superglm/features/constraint.py,sha256=CfUzog0bPFVANQtWEQi5ODqSVtkzgRghKzH2ePKd1gE,1485
superglm/features/factor_smooth.py,sha256=NcAr4l1albPvzDNarBqY6i2EV1FR390cEVO-ViVSar0,44855
superglm/features/grouping.py,sha256=Q9nUNonXVHycoQYACmqorj2CM7Eeq1CKdn9lc33en84,6741
superglm/features/interaction.py,sha256=Teyw7PguC20ps77GvlkuOl2Em-GhImQSCYlBp74LIY4,80402
superglm/features/numeric.py,sha256=Ng2baL6RGOQCUaEwen74Y49lC-1yNjBCuBIS1Ed4hcQ,2256
superglm/features/ordered_categorical.py,sha256=0BAqG-STqcctzbX411Cp2JgEpmH7y5XLLt42Cperkog,95345
superglm/features/piecewise.py,sha256=zCWxuHa-hmk6UFTXXvRBA1he16xMurKfNmpPP3ZBQ58,65131
superglm/features/polynomial.py,sha256=VC67VIad_PyEoiKGPEI4RnJVIwNt_zOFyzPdU2xCPK0,13311
superglm/features/random_effect.py,sha256=Mat9z2NGZBXLebbUaldZyIWqTPxRQqhYydizB6IWzwg,15458
superglm/features/rebuild.py,sha256=WnYSyKwv1Qj2RCqA6LGQIlcaEgiqdeVG8_sqAYpyx18,18275
superglm/features/spline.py,sha256=T_KlVdA8jQo2wIsJAcjlMkgMmMVVL-bFtQFms2H8wTg,44130
superglm/inference/__init__.py,sha256=M78KIY5473gdynTPgPmBUaEF5clDK_8FnJab6JUMFJA,1643
superglm/inference/_metrics_design.py,sha256=ateLFnDoeQMEY4YeukNoQKFOpCsJXJPh5BED5aMrRVg,24128
superglm/inference/_ordered_reference.py,sha256=vslEo8rq7IZ8tI9Rr0-PT8g3l7TmIETMPjHQeqt66Go,3124
superglm/inference/_term_covariance.py,sha256=NbvztEd05oP2HvI-TPQh4Vg4OZwy4_OEYrCZCSrZRuk,19080
superglm/inference/_term_helpers.py,sha256=gmYmwFN1T2t70B17Ac8f0Xtf1__BxEFKTUhYndYs1j8,29260
superglm/inference/_term_interactions.py,sha256=ecavQ9rkn2SOX_YUZQ3zAHlFPv7DY0owenB5vsEMgdk,2302
superglm/inference/_term_model_ops.py,sha256=KuYshbrrX7cR2JYIW-j9CyIDnUPbIsdPQH608y3AUvo,15859
superglm/inference/_term_ops.py,sha256=TQsy2Afgqgwg96QwNDti8n83lWvuk8Q-W7g81lqmp18,31839
superglm/inference/_term_types.py,sha256=vZEWTXka2gBULilsGv_sC4HJMVqKVz9hl0vN9_8Kl4Q,10742
superglm/inference/coef_tables.py,sha256=nqQFcxp6HaEjDrnVR8mlyOqhb-Y0T485LlqCbCPa4FM,57359
superglm/inference/covariance.py,sha256=cWvmVZ3niujLZ3-I6Tnp63-eexbzWmR7n06wo37N44U,19841
superglm/inference/factor_smooths.py,sha256=PVBEsfuhXDnLS_bZCvfYz41I5yNPz5uaqNzhpxJkxmw,22540
superglm/inference/metrics.py,sha256=u0V1m_2yEG8KDTkdRMclKK54bJGM78Nkbh_b9xDqqo4,72672
superglm/inference/random_effects.py,sha256=nDC1-YUwBmfG_zAPb9DmT3ziEZZbY-vCtYJ0cV0eNpg,16920
superglm/inference/summary.py,sha256=fSqd-3vKoyiUYN61RbxtJf8qef9rOxCQscWUHLUMr8A,62560
superglm/inference/summary_levels.py,sha256=wPc0frPNXOwICeG5pGAJ33dibTzpacV48NgxhG_ILg4,16380
superglm/inference/term.py,sha256=3M0wEVTaY29IcB6i3ALvLIthU7f_xaApXL819RbASmQ,1156
superglm/model/__init__.py,sha256=knwUrhI51PD_t6C9Ai23mDqyJ7ZwzYmRsdgJtKdkwGk,195
superglm/model/api.py,sha256=UC4qs1kpYH0LxSoLrEAdd3lWSECQpWNqz2zzK8wiNDo,105869
superglm/model/base.py,sha256=rOUmffOhJ_l35tMIOdFeLbC1jT3tEHQNOotT65RfOLY,58264
superglm/model/binding_ops.py,sha256=R3HhtA_dPQPm8x3wiwf3iAoZDZzoaFI4gbUinIMdpI8,6289
superglm/model/design_summary.py,sha256=ATYqfvrsXCOV7S5G-rXrZgpgOC9yyLtbW23rM6Zhxqo,6905
superglm/model/explain_ops.py,sha256=dKlv8X7aYo-qS9foMt6CL98b9WsotFfu5VbKIzXwUUY,13032
superglm/model/fit_data_guard.py,sha256=59yylz1LCpaBpgSjeh_D6nRn03L9yER6sHx07kgdM7M,6794
superglm/model/fit_ops.py,sha256=wfwhqZDq0XPIZg0bLP_fQUpN4h1_PzE8Xygr050MRhY,92740
superglm/model/fit_state.py,sha256=4kIXMjyXTbpAQWvyHLtl6tJEBnDNvPSpnPBzaRtuKSE,47882
superglm/model/fit_workspace.py,sha256=GyNK-aNQ2Nt0797PLi-QKjHFVf-0IlUstNNmACwgaFw,3972
superglm/model/input_validation.py,sha256=_J8kaSLphok4lSmwVkOiQFFhc5x6GvaaCshIvm7awNs,19981
superglm/model/monotone_ops.py,sha256=3wgNMiTlhZHLWa9SwV5RIh3v04lsERbf7CTdkFElGAc,679
superglm/model/path_ops.py,sha256=PpFnfSRP93JupfAB_t0niBwvrHpO94LM4MClMt5nKLI,4040
superglm/model/plot_ops.py,sha256=NkkNC4sYUIej1D3YBjAH0ene0c5x_JfqdcAc5qyUSLk,11070
superglm/model/profile_ops.py,sha256=6Yxl0RaG0rRb2mCUPs8RpwHiABWTMcbvocmMeXaJEEY,25950
superglm/model/reml_debug.py,sha256=J2Q-BspF9bvy6zSKca0T8rCS3_6_K3q2VSaUGML1SmU,14358
superglm/model/reml_execute.py,sha256=HgURQeM4UKNBld7JSzck3ra5xSqCLntd2eQGI_bGIXQ,16656
superglm/model/reml_finalize.py,sha256=16q57wI8qRcxhOUFMtKm_dYLHCEJ6I98S1xJ3KphVEY,45003
superglm/model/reml_ops.py,sha256=UhZXt7ruxh5CCwLGwS835DAaY3oJj0U9LctJJaIuO2I,8324
superglm/model/reml_setup.py,sha256=yVKmomrXselS2XL62FuSUBkVkqfsnYSuAC6wU6-kB3Q,14817
superglm/model/reml_state.py,sha256=Rte9gJnTxvHezE6138NUbHct7RkgSUWgNWuEuGc_42Y,3913
superglm/model/report_ops.py,sha256=GEptlmz2jf-MnfSzqVC9oZbe3hx0t0a3V6xQfDXR4x8,33512
superglm/model/retired_state.py,sha256=6M5Xpmoy_gU7QO50RJ8CjMHhqqq_6TgoBS0DpcOW7_E,7519
superglm/model/runtime_canonicalize.py,sha256=Y3xahiSPzdEn4HaR-MlWAs3x0DrW5qIs3_qXdAP4jls,24737
superglm/model/screening_ops.py,sha256=cs6gH-u16r1YDSftjuu9g977bMF6UVpb4Aa7Sbjs-cw,83338
superglm/model/shape_ops.py,sha256=ZCrUrMNIdC3IfPr3YLlNYmNY_6anQpvvTRwHOmtmPXM,38091
superglm/model/state_ops.py,sha256=_046Vzh2ZkkNQ9LjlC-58_yVEgZuFYAXATS0eB-fpl4,24194
superglm/model/telemetry_ops.py,sha256=7UlOqL33mM5ik0SCaaSFhulNnFKVjYJdjRXtAMsLSPA,15461
superglm/penalties/__init__.py,sha256=B9hmKSE7TOumU7D8blm693wl3SfLXYO99S-6IWsiYaY,467
superglm/penalties/base.py,sha256=Pixpgq4dDCuCBWOaptPzpbLtYnuT5wIxwOM-yeUhc5s,5822
superglm/penalties/flavors.py,sha256=WZo_TqAX5NQc7Dm7g6U8jwcuIktEMKwFetayNYznDZU,2349
superglm/penalties/group_elastic_net.py,sha256=DfQrjB5Pn9eSLmPHXuW89dOSlFlPlZUX5xrIKcADNj8,3165
superglm/penalties/group_lasso.py,sha256=7yhdEiKwsYkXC8za2a15ZM0fW-4VIliZqgH14rfx_zU,2094
superglm/penalties/ridge.py,sha256=bMWVF5C3hObPU3NHu3RffcSoSbb_UkOlV9WI3y0-5g4,1866
superglm/penalties/sparse_group_lasso.py,sha256=OEh--FisUXiPlv1ul8_lrjlvOdg_Bc4gA265dVaV3hY,2623
superglm/plotting/__init__.py,sha256=fS0CwkgDp1Bg-gWoo3ITNqzWSR2V46RD-LGAe4UbzSw,2316
superglm/plotting/common.py,sha256=e31_eyWkYqNvnI0u6UUJG90UBw1btM9RW36u7XbRoMM,16185
superglm/plotting/comparison.py,sha256=CdTZaO9ZUs-4yrlux4rLF471y4yLFgtpRclO1KWGaR4,13882
superglm/plotting/comparison_plotly.py,sha256=3H07TlEe1ra-iOJZ6Ci4NkujHDZp7LebafWNPV2RkXE,11432
superglm/plotting/curve_similarity.py,sha256=xQpVIYwfltCKYtPEVnFZ_mUxH9XS3_CJn0ysJULT1gU,7829
superglm/plotting/data.py,sha256=MdFxN8FRdpwqxTLhSNRS2-xbk5Fo0Wpk69zoNB7P48s,15175
superglm/plotting/diagnostics.py,sha256=uts5sG7zgmJuxfRVvnBzDOW4kyda7huy9PVvIj5B7n0,26196
superglm/plotting/distributional.py,sha256=qunAoaiHaX65aJDTVgFjpJHDXdYdaU2hqUt9YjwAdiE,43516
superglm/plotting/distributional_plotly.py,sha256=HzStfAjPQE_wDhkKsiSDXhx33QVXjWpsj9CxuWdVHJw,63412
superglm/plotting/editor_style.py,sha256=Fda1vlNa0KjUKwSwGkxyJ62eHOnO05cjD5c5iLh0p6M,10829
superglm/plotting/group_display.py,sha256=60Dtm44HK0agqxw9KgTgyzCudoEgrpC4JnNS5Oaz_3Y,9473
superglm/plotting/interactions.py,sha256=wO8OqfMQkHwJTkIrQi9V-QZtktWkcPQP-dGP20pTz20,37758
superglm/plotting/main_effects.py,sha256=d_Us-74qK87PYBnNqLvai9vnLBBmMUx3XWDb8oPtPRw,28103
superglm/plotting/main_effects_plotly.py,sha256=2XZZtpcv2mfWXdFqgZq9MwS0TzV__U4ue3wcpo_V-CE,64857
superglm/profiling/__init__.py,sha256=97cRKjjbN2iz738kbBJoJmftE2GRgGjnuWeStHUDkc8,365
superglm/profiling/_reporting.py,sha256=feVcTccJC4yGnGX3MB42CFzet7_qUddDLKhNnd52qhQ,2323
superglm/profiling/_scalar.py,sha256=361o-rwGbeUvUoHlTiWX9Y8FMUqxclyGOnSgmNBLWFU,10067
superglm/profiling/nb.py,sha256=4zJdPch2QkjygpNDYW8tEjNijUuIvTAPkObQsEX5oS4,32509
superglm/profiling/tweedie.py,sha256=F4m98FGd1mCOtzI8uzvA8bVVuV5KZNfwcadE0_bEQvg,34754
superglm/reml/__init__.py,sha256=-WRaoqkG8QS6y7YKWKEoBlz7_OHK30akntiLmt9C-To,2045
superglm/reml/_compensated.py,sha256=k33-MriurR2Nqx2iHN7sRE8EpHtv2T4KOrykIdRGj9M,8560
superglm/reml/convergence.py,sha256=NRz_lOAtLl606488WfR0KruzuEyYMQvb9xh_Hg2_0b0,16301
superglm/reml/direct.py,sha256=kosE5s9VEtbBoD2pkba_8Wg-yl-O4MVMmKkgeoSDLMo,76706
superglm/reml/discrete.py,sha256=bnfwrLH1WCshAb3oDS80-xve8DTKxaaYay6wVj06HNk,79064
superglm/reml/efs.py,sha256=avCVDImTCYBqpId48x8zwtvEUJ5z0OoyLhpCKbCI_6s,18114
superglm/reml/efs_update.py,sha256=eq9Zpoj4NRmbGANqQtGl-L7huEqIhfriTYA-r9-HyaE,16844
superglm/reml/gradient.py,sha256=T3CxZPA6lv8eLCelkzNbaYrc0cLiCS3oiyvSkwWhQLY,16833
superglm/reml/identified.py,sha256=r4OPDaXbA73I-14DqJWM5MXPi9DFqWoptss_z1FpTL0,33290
superglm/reml/multi_penalty.py,sha256=SLnTK2uouTyx3OHWpFOVwvkiwAEpv--rSEbo-pbowQE,56086
superglm/reml/objective.py,sha256=GTwzyMyCwtnDlC-gne9_pATJVi2SeflPdPha8Z4-vhQ,20007
superglm/reml/observed_geometry.py,sha256=Dvp6GGt65xtavmwxcyMokTHVsNhqKwseYyFFJRmn8Ow,69466
superglm/reml/penalty_algebra.py,sha256=NzbVbHqauadOyukqG3lHrSft_YuzN44LxrHbWDN1eIk,131191
superglm/reml/penalty_support.py,sha256=zveLKONUlrQc8yDLwUFSK_xXyIplLM73tiCSxBeRiX4,12918
superglm/reml/result.py,sha256=Q_JVOZn5UM8nex19W1Dp49INTyK9O4y5uk7SySrmtoQ,7863
superglm/reml/scale.py,sha256=uouspex5O7mtpCKG9XG99T_cDJzVU38zkuylcyOgiuI,39971
superglm/reml/scop_efs.py,sha256=t8wweBoc2qYT799JIctEirP5n5DSCybrtaXYSs8BqXE,158964
superglm/reml/scop_geometry.py,sha256=yEOuxmEWjxlRpRm2C8ooLfm4FDINu3Gn1XUAd73yHU4,46934
superglm/reml/w_derivatives.py,sha256=X-DONW7qYk8kMXAcLk6-rLMAknIj63lAv7bKVUQUZdU,39267
superglm/screening/__init__.py,sha256=SV0vGyDBZcXJGge_QcfoPspjr1Q-vbLmTQM9wcPulys,2268
superglm/screening/_arrow.py,sha256=hLa1FeRDNppPibRQRfcpP5umwz6Jk9O04QDDG8EPZ1g,8860
superglm/screening/_factor_kernels.py,sha256=3zu1GyPYLvs16b1ZUDxgHPLjBlROL5xjNRQS9jxJVQQ,25275
superglm/screening/_numeric_margin.py,sha256=0FUhJ6HyhhlqqUmfRnXg-WH33O28ms1-VxUau2fLYI0,4928
superglm/screening/_overlap.py,sha256=xvw7nWUPscOfC1HsEyXQxYT8j6g7rxwdVfvNrr12o34,6985
superglm/screening/_pair_factor.py,sha256=h3Un-F46IRlZTkkz5oV8lXb-VJxIhh_B2JTJ1Nk6kw8,40588
superglm/screening/_pair_moments.py,sha256=U3krIK99Nsx77iZgJrvK4WyV_73ggQjIxGhOXBRGy0s,5873
superglm/screening/_score_stat.py,sha256=330JUeIXidnPh8gyd03bsoFnJjubrdtwzvz3zF55kdg,57581
superglm/screening/_structured.py,sha256=RzU_hVLbyZN4YAdEVOmHwayX64XjG8ZdGf8GDUFj64A,157247
superglm/solvers/__init__.py,sha256=Ed2AxKuILy6Ojk8OFGV_Sl9_fXhT2W7kC4Sg7gry0_Q,430
superglm/solvers/_exact_sums.py,sha256=WNKqpRf1hMf2LVsWXTUzNo3IxVIErskZl1zQEvkLr5A,14931
superglm/solvers/centered_system.py,sha256=mRsDVy5y9RZxwZvneffNJiG-8wNeJA_W-qCrvd35tCs,58462
superglm/solvers/constrained_qp.py,sha256=DvhFCi-wIoh5v-lEyb0pcpSSWopNjQIx1okaqY9HcoA,72473
superglm/solvers/dispersion.py,sha256=AOat9DSkSGHCECj_JVZAJcHNdS_F0TXmFoA027Ln7FQ,8219
superglm/solvers/hessian_factor.py,sha256=V3LRTC-rtoo1OXg55qEwqYw0zL9YAPtI4e8ZJF_IiuQ,10865
superglm/solvers/irls_direct.py,sha256=8U-BU0zWv6caTadsobMKw8sEXtDwtwqgImBA_Ih3x8k,224936
superglm/solvers/irls_state.py,sha256=4-Md8_PMnMODl2esu1MGZNmIqusFUVzlfy-bIuTPGH0,31106
superglm/solvers/mode_score.py,sha256=jVE6ApgxNDWW9RQtQbZwiCoWcOlNJn-J6WUBbD7pzAU,129134
superglm/solvers/pirls.py,sha256=wzJVJfeLA7k69EUkn8WvERuO5m5hGEXQTXIlGVahgxk,94405
superglm/solvers/rank.py,sha256=K_rSWZ3iK5ntueLuL-eeeP05FIP2y6JWMvQed3xEqso,124926
superglm/solvers/scop.py,sha256=ylUuw2b6ggCynDvunYLvZs_LgPVurbzwSPZfdC6Au7Y,16075
superglm/solvers/scop_exact_support.py,sha256=5ex0zy3dQZWmk5STU0bKPLFbNXP9izX1sP1q9iofZdw,1256
superglm/solvers/scop_newton.py,sha256=x8zFgVCpeEA-nHuPr-qTxyqIJ8GfudhWZsUUQ9v1SBk,65234
superglm/solvers/structured.py,sha256=aTrxyWAoc52a_GqIZ6ZwsVkXNf71e6EiHeoXWw2DdvM,7686
superglm/solvers/sum_to_zero.py,sha256=H_hUpdvLozhg1XXS-1QVhS7XlzLrCzxby9mKlVSLPdg,826
superglm/solvers/working_rows.py,sha256=I823BD5p7p6JGqFqqBctUjxBpTdoey9r7we5WrAgrrI,18277
superglm/solvers/_structured/__init__.py,sha256=B0W6-5NLWhVwSizfGVOB2qzZOFoCevUtIopF_D0hfu4,65
superglm/solvers/_structured/assembly.py,sha256=0dOXMdLvdbXvRTv05iGLG4Q-VeiKv8rbeL-ZJE3R-So,33911
superglm/solvers/_structured/balance_tree.py,sha256=hsqf3duH9XlH67bQSYDV-HFLjvZ4XOkCcZeAiSJSMZU,149161
superglm/solvers/_structured/block_leaves.py,sha256=SjCdULCyI7PLNXMW_FX__lFYupVl2S1Xq7Y4pYaKY2g,132099
superglm/solvers/_structured/border.py,sha256=zcfuxpuE8hFoaDy9MR91zNgHTGNSDzZJHcQVIzppsf8,43747
superglm/solvers/_structured/factors.py,sha256=argDhG1UQa1oqrrAT3L8zheUjAtMSTqHOTq3zOHB120,3686
superglm/solvers/_structured/geometry.py,sha256=PBUQ1Ga-yTu0Quxv_sJ4bLleStbJSaFQjAKFZkviYWk,27253
superglm/solvers/_structured/layout.py,sha256=TkZLWmd9T7oV5nOWBw-4dX1rv8XrNlym9ResBmT0GDs,34864
superglm/solvers/_structured/leaf_kernels.py,sha256=nka5eOdE_-RdtiC0NSJ5pwSbG6JWWvOYCof6VtO4gnE,9509
superglm/solvers/_structured/moments.py,sha256=sdRgN6IWEv9jrd5V3i6t4eD1WsMdv6O4hSNC4bpjIdA,54543
superglm/solvers/_structured/nested.py,sha256=GVb_k3FXb2DYe9Vm0MMH_VTlj1xr7Qo5xkvjUx8Xi7o,159391
superglm/solvers/_structured/operators.py,sha256=dem6lUcy2w5SCnPL81Zw3FpVbaOSfj3CRMgi6ep2Hc4,37882
superglm/solvers/_structured/overrides.py,sha256=bTo7nWD5NPUIBNBbe5X1tkd1EQyesa2DntuH7h18peo,5494
superglm/solvers/_structured/retired.py,sha256=rGdmcwN5nhLhb2utn2uc3mD-GxmMy5fpgKjb95Tqee4,4577
superglm/solvers/_structured/selection.py,sha256=mr5M9RwxX3Y4PJv07WHzhcD3kQhdI5woraQsTiJrUbA,39553
superglm/solvers/_structured/state.py,sha256=RaSI9vxErSJC8XQbhOjcz61FYvHO4przKgFM6EKI_Cc,4095
superglm/stats/__init__.py,sha256=RRou9ekSjg4cYke1DzblzsNwAX03uXjnr8de3J6YSBw,740
superglm/stats/davies.py,sha256=wwk6AJmFv13EVhe-UEXRLouRGPtZFAZ4pOQ4iG_Y7A0,18122
superglm/stats/model_tests.py,sha256=ppB-1dx9yuZlQWlyLcKdLW17z2isbP7_4XOEEnRHXY0,22058
superglm/stats/wood_pvalue.py,sha256=tJulIYHuWu72yQlNxrPypvlZjXkpFyqz2vSH6Z1FYk0,8354
superglm-0.38.1.dist-info/METADATA,sha256=1TqF8yckC9RSeQTvg1thKrxnc6hqusJueyTZ-LRhV84,4880
superglm-0.38.1.dist-info/WHEEL,sha256=W3fkpkm7-wf9vBI5Z-7s0eWkeM-spu78I8Neb98DeEg,87
superglm-0.38.1.dist-info/licenses/LICENSE,sha256=8DpBogVf-4QgSsRvSLFjQGI2j-Man90VZk3vc7AYKpg,1066
superglm-0.38.1.dist-info/RECORD,,
