mojolearn/.dylibs/libAsyncRTMojoBindings.dylib,sha256=RbT9aJ7c2V5Pwrw0khzu4sVHRLFcsS8AYdCnalsgD2I,1145472
mojolearn/.dylibs/libAsyncRTRuntimeGlobals.dylib,sha256=cn_CK4K08o1hYHc_OcwRg3JgN4wparvoWNKRWqglHBQ,351296
mojolearn/.dylibs/libKGENCompilerRTShared.dylib,sha256=KHD2_1Kno4pqHnh4gaQVBdHiB8-Dy7ZbbfoRS4-AVvE,1128896
mojolearn/.dylibs/libMSupportGlobals.dylib,sha256=Nwc3BTo_UQBOIwYh3WAhW4gp68YB9gZUFyBHAC6XgWw,140992
mojolearn/.dylibs/libMojolearnMath.dylib,sha256=58nCFod06qKsYCw6lOI5D-LKt_dgrvIC4NBlSe9qp0I,35264
mojolearn/ALPHA_API.md,sha256=4X2JYkbEHN-YwVRCAaMuKxEIm8TfWWTVwYGRdRu5k6I,15839
mojolearn/CITATION.cff,sha256=s06awZ_-NoupgfdJDTzlC25DHXlNK-i8q8zaWf9ssrA,1132
mojolearn/Hendel_2026_bitwise_identical_gpu_ml_preprint.pdf,sha256=EcwrSqMLH3m5YOdUeOTYHvbfCGNfxMyNWDKt-v-85fc,305563
mojolearn/__init__.py,sha256=bzPtn_OqQ9Q6f_bhuiVMvrirntOXbPCLk4CgScziiVk,22458
mojolearn/__main__.py,sha256=uGligVL8P-J1GCH_O16V-hsYRVAvxrOrNHrQ4C74XKU,36807
mojolearn/_arima_impl.py,sha256=aS6pGFx2x4PX03UCG4uvGgxMt2FBRqN73xgGqcWSUiI,49409
mojolearn/_array.py,sha256=cOF2kE8S_B4GRNGRZ2NCeDzssYNLCaZaeIV-mr__Tiw,35988
mojolearn/_arrays.py,sha256=JI5NABhkOfcjohHDnvMocuB1Nn23gFtiwq9-Te2HVFE,1997
mojolearn/_backend.py,sha256=q-0TmkrK20pmw9f1UhiTYa6l6apyeR8H700ghHuBsXE,87315
mojolearn/_bpe_trainer.py,sha256=yN2SjwMglrQPedSZmz80dtwEgC0Mh5GO6nd4Jv5J264,22083
mojolearn/_bufcheck.py,sha256=X5dkd9mwlKkM-K8Jld0XfffVYZLnL4rPeEZ6FKttd7o,8177
mojolearn/_buffer.py,sha256=AEIt0QZJ5CIwc5-wwBxCcpyJCMFh0PBZUttKz2qzgmA,37306
mojolearn/_byte_lm_checkpoint.py,sha256=qJUZ_i7E2bw-UOAmKGa-C-5z88uXfKl9hBf7eUUSxcQ,12296
mojolearn/_byte_lm_config.py,sha256=ycs3S7vpcmbKCPLj0LGF_IC3B65F7EukJdeT0mEwSsw,4212
mojolearn/_byte_lm_host.py,sha256=BW909kvAgyiLeeY4P_Pu7JRZozS8aeLwW-KKRP8GYKI,22576
mojolearn/_byte_lm_impl.py,sha256=V9XadqqNTEDPmcUQUbJFVUxv4gjbB67I3ijM7jLmDek,70358
mojolearn/_byte_lm_trainer_host.py,sha256=N4wowVzWB6rD8huWBRfIpEgh06KA6Wmz5TXrNvcSx_w,23849
mojolearn/_causal_lm_fixtures.py,sha256=e_gNbZggIov2CeHjPSbzXGZew0s7lCIUjEFmRFBpKqA,8143
mojolearn/_causal_lm_worker.py,sha256=iUG-xRVhtzZ_hSpkXoinFrufNnDvxxhr-f334jjZf2E,2915
mojolearn/_cholesky_impl.py,sha256=jd_CEkahmcZimdyaqkn63o6wsa29O-KsnpWCu911_DI,15302
mojolearn/_classical_host.py,sha256=rtqdeAMru6JsfsG_VlnKP36c19vgN9UfZhjr0aJxC7Q,22344
mojolearn/_conformance.py,sha256=N5U3KaYUPwz_DmKcqEaRc6Hz9IvkSyZsvhjlCj3JpYM,45894
mojolearn/_cpu_reference.py,sha256=X--vKm4wECoc2pyP92xgPA0fAy9oP_hOlHEG6Gv6SLY,907
mojolearn/_crossvendor_coverage.py,sha256=1s9TEDo448ryQdKYau0LrRDbgeOLaFgr5LK1sAy-zBw,8409
mojolearn/_forest_host.py,sha256=3X91RW6cbJ_SzgTLcUWhYH-ZZYm35V1wNSNSr5pYnKA,17944
mojolearn/_forest_protocol.py,sha256=UOldBR1qQ4ZBUVwggdYPd0hoMiYSnEO_xMOwEWiLyZQ,19381
mojolearn/_gbdt_adapters.py,sha256=35zbpLo2OW31WjbkEhuPRCcUqIB2PMkWyeYVJgCRpIU,12202
mojolearn/_gbdt_host.py,sha256=z85mrzR0dezzok7Mc0fcv9AQWhnQs-5hRjcRFHyoa4Y,39128
mojolearn/_gp_impl.py,sha256=pkwOQTAokqOdUpsw9UKQa9G_O-u6l7NE4gDjgzZnr4U,57615
mojolearn/_gp_optimizer.py,sha256=ZlolHHpz_BSX3Ajj6jd2E45SciIvGvN_AxF9vGUyAvI,7611
mojolearn/_gpc_impl.py,sha256=u3IGochm3YFm9dDRbTOchIVkasQtduCn966h931W-Es,28568
mojolearn/_gpu_witness.py,sha256=K6aexcalJcKyymaXe3BzDalaPRg_KmdqSb4_KZtPbDA,11157
mojolearn/_hierarchy_impl.py,sha256=mhXNoc2d3KsEGowvC1yypf7S1FHAo9MHy__3YZUEj7k,25011
mojolearn/_identity.py,sha256=1BfIGydtElE8DB5WkOXuWObPKX8-oD--dadcOpOAw7g,19147
mojolearn/_identity_break.py,sha256=DjDahVpNtpZDrtzPIMwEvwDsvvMoNbIy2Bt-aLMj1N4,686512
mojolearn/_identity_trace_diff.py,sha256=MEg70zkosmKHTlimz_kOwSWc16OzmTmZs8PdNZP3XSY,47366
mojolearn/_iforest_impl.py,sha256=rLuixPnhmuklzMci0nyH1RgXiPj8skCzj9yCL268Hl4,22158
mojolearn/_ivf_impl.py,sha256=VbSbgXFe5C-cRq0dNks8Zg2MRdd_UnXcWyins8c-FA8,17561
mojolearn/_labels.py,sha256=n7ewUWhKVL8hMhmUBiFhObPEak9ih-6flKiDABm3pPU,20007
mojolearn/_linalg_impl.py,sha256=sZFjhJR_4SB7jBQR2U7sV8cfkw52yXN4rvhSh8QI7so,44679
mojolearn/_mamba_impl.py,sha256=DTFqTO9QTgPyzsXvH6p6XqYgGNq3ao4K6lklOxAhQDw,75983
mojolearn/_metrics_impl.py,sha256=8_lzbYQDHfjYML3USeJsxhYNPkmKeYn3Ui_GCCd8j1c,70176
mojolearn/_mlp_impl.py,sha256=dhsh2kRAfUKYcTz_4S6C1imsoUqVBX1zFUPSWrG5E8A,27072
mojolearn/_mode.py,sha256=K8uxHSpZO2xauTNVHZxhFwVe-ls15HFdqg3Oy6lKcAw,6975
mojolearn/_mojolearn_gbdt.so,sha256=Im71cUqAMF0eJfigCj5vRb5nDrXGhx1KHRQl-08Ws5I,7420432
mojolearn/_mojolearn_rf.so,sha256=L4JhN-Cu4YwnAv5wJ48-oqN69VNm9OC54ItmnZFn7ok,1823344
mojolearn/_mojolearn_trees.so,sha256=_WnSXxI4XBFxGGkN9FYoij96aqAyjWZEYa7xxF5IdX0,1529232
mojolearn/_parallel_cv_witness.py,sha256=C0pSN2nyHk35optblP4v3J0dIYzrfxxJwcPQ4W8MrXQ,4331
mojolearn/_parallel_pool.py,sha256=NTdypIMjhj04mjut8whry3N4XRenIjjRseyVvcX_zuM,18514
mojolearn/_parallel_worker.py,sha256=TzRY6Mg1VhTV1vis8Dn9EGKy3DQ4dsrJXqPiVdcl_4U,22376
mojolearn/_portable_math.py,sha256=MvqXLy5_3DlzhK3SzmHwPIsb_CyKVJuR9DFrAkuX9EU,5090
mojolearn/_ragged.py,sha256=h_Pj7rKDzscRpJECK9SvjPdrdqLOgv3w33BqxTFlicI,7945
mojolearn/_samba_checkpoint.py,sha256=Ij_2sjsqILgFuUtY86lUur3aZenLN1K7waNTqwxSbXk,8709
mojolearn/_samba_impl.py,sha256=2QTzHeIOmK9A-dhySK5Q_ufnM8Wf2vylzdHBKWsb64A,34206
mojolearn/_serialize.py,sha256=a4Dh6o9CLDh2JFazUXprOVmFkxhtYA8PPvYZgH31r9U,16483
mojolearn/_solver_impl.py,sha256=ybYi2J9p9pp8Q1JPVpjjtB52zYHoDXF_EmIU9Lo4GEA,24897
mojolearn/_spectral_impl.py,sha256=cZfHx1RFS6Ms_k8Zs6wcoBUv5nH9i9-vTKnKbfapPBw,51152
mojolearn/_svm_impl.py,sha256=puKU2dQmWDJ9XlQPN3IJJpwb04dXpcvEJPqdjKcoJZQ,64072
mojolearn/_tokenizer_synthetic.py,sha256=Lp37ZjkGUSUVb4iL7APG_JpStifg_LyRPpyhQIZfdRs,12437
mojolearn/_training_impl.py,sha256=X2Jd8wFZF4H3-7Ie5UipV8nZYOMMaBCASJZ63x1fuS4,95677
mojolearn/_transformer_impl.py,sha256=0PiMXLPsrJ8Y9G1GaER609Xfy3ietCDDt7D8i5gxHrI,74648
mojolearn/_tsa_impl.py,sha256=DW3Bz_OXzNTvlHw150FcbQMhOu0p9EASQySbpqn7f8Q,42156
mojolearn/_umap_impl.py,sha256=m6c-kO4VuG3N6fwjpYNNyqSbbj8dvYr8_AcubIcPJ-g,15801
mojolearn/_verification_catalog.py,sha256=Qu69IW7u-0SZuQnJbNARKJrxrXmQlWibbro8YRCVO60,44905
mojolearn/_verification_coverage.py,sha256=xV9qj1ph7hmyyu6pdsIp-oMIv3DCjfCBSwBtp-N_0cQ,14419
mojolearn/_verification_ctr_models.py,sha256=J4GUdAkpxbKQSXPKjcSNx-o4XzaxVR5iDjQFVFWV41w,2983
mojolearn/_verification_evidence_data.py,sha256=P3ZPyOrcLT_p3LW6fxn4uLxB625afLhtRZgeNgBzNZc,6613074
mojolearn/_verify.py,sha256=1NMCsc7HKxyiFNN8J63BqujKmkdWdR6Uk_BFgvp9kTc,67984
mojolearn/_verify_all.py,sha256=ZgvphuROF6cD_JklIylKkcqSxa26HaEEjwsKnU-bwnw,215089
mojolearn/_verify_causal_lm.py,sha256=U9IFYpd3w28yGTbp0upTgzCDiATHT7ctJHdN3sfg_oI,9352
mojolearn/_verify_distributed.py,sha256=4Z086QX5v9zhD5DxL8ywvwgIPyfsyVR26svGOeySciM,19717
mojolearn/_verify_par.py,sha256=oDbAy7Xs4DV5wdJXMw4_8cmnYgaBDt_uh3UOnUwKptA,44453
mojolearn/_verify_parallel_cv.py,sha256=wfj5dzUqSkf9K6oQ7RSqklByCjgEVZJrxwLHW18AWco,14775
mojolearn/_verify_reference.py,sha256=LwrHflTFzwxeagyFfdqNh_UfogrmTcP1wM01DkZgRS0,39204
mojolearn/_verify_resources.py,sha256=lo-jdAo_fOqruBSR7PEqrqqX27hkaZngJYP4iz_9q8E,2610
mojolearn/_verify_small.py,sha256=3MDjfkQI6XsYHonRNMCYvVwvO8mpp4fJD5tSkN43WUw,5728
mojolearn/_version.py,sha256=uN1Tui_IJz3FHN0AKWm4mAoJZz08lYi4Q3SEVjQliXA,275
mojolearn/cluster.py,sha256=LJA1_MFwgL_tmIiHlxzt1d-eOlR7ZKQLhkuuo4JiKFw,22956
mojolearn/cross_vendor.py,sha256=4HZChbFsNjHF8wC2ds9sbsx_XiGqnBCYT8N9A2O-SdU,14988
mojolearn/decomposition.py,sha256=FOiCGllnygWovUJ_nYEePCwVOlhS53vI51hGXugUoEk,34362
mojolearn/density.py,sha256=5V7VaYD5XCVbxh6eqWhrCeb2A_M70IUID06o6hcKt_g,44340
mojolearn/deterministic/_mojolearn_gbdt.so,sha256=uEN3gVSwmf_L_ZXbMVwCHP8nZH86_R21edKL5zeM-zk,6819024
mojolearn/deterministic/_mojolearn_rf.so,sha256=Vs_6v7TxBcXo25tmfWYEHOe4OB9YYSJuwSzqe0VY1Kk,1823392
mojolearn/deterministic/_mojolearn_trees.so,sha256=P9huLw7loNXLyKZRqbt8a6NCe5waogLHyW1w6qw7u94,1529296
mojolearn/embedding.py,sha256=WZIxpIbw5qu7XhASY3nrVq_Ah3JWGa5GF9qTPhnzCrQ,13033
mojolearn/ensemble.py,sha256=qvPePvcJqJ6yl4LxiN6QPwGb670U8QwbQhHYCKiX9XM,148234
mojolearn/extratrees.py,sha256=S7BuXVTp0w7DOmQtt3x5-wQL7KKggr7iRaf95iRonig,26855
mojolearn/hdbscan.py,sha256=jZfl29XDT3ixoh8lCTXYx0YdmfL8d2Nv-EjAZbgbCc8,26896
mojolearn/host/_mojolearn_arima_host.so,sha256=EBXVrtS4DgjkJxvvPD8GldX6g3Q9G8BtcGRjnOKsls0,396688
mojolearn/host/_mojolearn_byte_lm_host.so,sha256=jlv5ghodEo2D_IlPPzqOH-gcyIiJj2CRcH-9sybri1I,558976
mojolearn/host/_mojolearn_core_host.so,sha256=2eeGF6Vz6YsUvWNZcBLV8EqW7oXhkAqUCXN1qDeeVjQ,948192
mojolearn/host/_mojolearn_embedding_host.so,sha256=kxKn_522nm8uDW3hBHxAiKNaOllbWpNIDrhkwauMe_s,246144
mojolearn/host/_mojolearn_embedding_infer_host.so,sha256=UFH0Agn1Zy5Kfc8fV1t4mBw7_Qfp4lGqoPxn4jZMPVQ,226112
mojolearn/host/_mojolearn_estimators_host.so,sha256=iZQVWu5D9OW3vEBLM351KZIk86dq6xrgYOs4cGDiWMY,722288
mojolearn/host/_mojolearn_forecast_host.so,sha256=pDxdJoeqIZnNszxz-JT5UrLU30lhk-NyT6ptfDfoqRc,380800
mojolearn/host/_mojolearn_forest_host.so,sha256=thsnvJPhA0cy-r56ceZ9ChgPkxfOyeU9WX2yPXYGLo4,515920
mojolearn/host/_mojolearn_gbdt_host.so,sha256=G133X4VpsKKgGRhR_7yJwASCUSxwp20TwYdfpghKW5Y,1484608
mojolearn/host/_mojolearn_gp_host.so,sha256=Vw5c1c_CjCUdFqpxPmbxL7C4otWe1YSiqI9b4XcQmdQ,501920
mojolearn/host/_mojolearn_gp_infer_host.so,sha256=w7aWJU0ku5H4tgq3rQireN0Wmtfxv6HDSI-OkOLhXGg,339808
mojolearn/host/_mojolearn_hdbscan_host.so,sha256=BWrW3YLLKBagwYbtBrG__cc4uerTLhuv32ue-SekFeU,466352
mojolearn/host/_mojolearn_hdbscan_infer_host.so,sha256=93v4ZwajKHkhBAWs3iaOpSunGUs1_DCp1XUL_eXIUfw,329200
mojolearn/host/_mojolearn_ivf_host.so,sha256=yd4d0A4m3jewCw2U2H684xmE093q1J3ZnG2EQcaiEYE,470560
mojolearn/host/_mojolearn_ivf_search_host.so,sha256=J953ZXAMIblB1uhysfEk-tJYDiQLgcMlGxxZkbu_8c4,307408
mojolearn/host/_mojolearn_kernel_methods_host.so,sha256=pGhHzr8hKDX1MgvTiQMV22HEjKenHEkuH8TRGCjcw0g,393456
mojolearn/host/_mojolearn_linalg_host.so,sha256=CY-za1C0L52_OPxFhT0hYSLaf2fhYF0FgPVB0TDGUNg,366112
mojolearn/host/_mojolearn_mamba_host.so,sha256=fRCPvwwyKh3zj1stFndqQXVu-jyeRz1D8UKzkqqRPE4,1086928
mojolearn/host/_mojolearn_metrics_host.so,sha256=LmGRxTACgWPicJIY_1pmgnHRih__3nQPRFFYOBHnxbA,855264
mojolearn/host/_mojolearn_mixture_host.so,sha256=6ccHHDxPK7dgVA2Cc0Ssz4VTO8as-x29jmlu8M4dynk,455264
mojolearn/host/_mojolearn_mixture_infer_host.so,sha256=i9pmrzXiGwGNlIY_Om1yJxKzrjpccKD2HPTEbMJWph4,293824
mojolearn/host/_mojolearn_neural_host.so,sha256=_6om2l1j4LWWdtscB1jwV1zvxp8WYZRjrNyzg7MOR8o,656560
mojolearn/host/_mojolearn_preprocessing_host.so,sha256=9FE09bX4qlwcy8wXbD4JckNtXNzx1-ScdaUSghlroQg,281408
mojolearn/host/_mojolearn_resample_host.so,sha256=Cbrffi12MVTVu7E2U0hmcRIR-wC9fOiHf3floVjsjok,354624
mojolearn/host/_mojolearn_rf_host.so,sha256=oubpyl1rxQd-LlBKCir-9RDJd2IDURKmTSrAUjg4QgE,569648
mojolearn/host/_mojolearn_solver_host.so,sha256=ZxSdqlGnVRhk-zovJh8ENNk_yZbhfopiyuMnhH8WAU8,307888
mojolearn/host/_mojolearn_svm_host.so,sha256=PPtb12LpjYI10pQktiReoREguAKfZ97a2RxDhKtNNFc,429264
mojolearn/host/_mojolearn_tokenizer_host.so,sha256=xwwAGFjtfimruixHiYcp2a879lm3lwzlFPPz_GGcvzM,494112
mojolearn/host/_mojolearn_training_host.so,sha256=ShEGpTpX7sTvsepvKDMha8mUWr86nTNei5fo9EKI5ks,458704
mojolearn/host/_mojolearn_transformer_host.so,sha256=2pYmZRd896vL2ujkiamjIogrWsNemmUQnTe1HTeUGn8,440464
mojolearn/host/_mojolearn_trees_host.so,sha256=iAhdv1DkXakg4tvyp427DQwHJx4mUpSmBXC2BMFIQoA,555840
mojolearn/host/_mojolearn_tsa_host.so,sha256=xyM7PjP4f-NQSoKQIfSU_Z-n5oFGPNrjNS8QBzJOjvk,357040
mojolearn/host_surface.py,sha256=FGsswF_iLwmpDnDno-qVG7yV3ilEjilTh2zpM4obXxo,242598
mojolearn/identical/_mojolearn.so,sha256=JidM9io0HjyliTe53-cmv0Bt1P4Inq-XNoFALXP2Xls,3093520
mojolearn/identical/_mojolearn_arima.so,sha256=CqFMNbcwH92KlKJ6rXW8Dmm2xuNVRw3oE2Iro3nEQKY,725024
mojolearn/identical/_mojolearn_byte_lm.so,sha256=uj6AMpLpqqG3wlbd8XJ4qj9DRgNl2WNdLa3ARcGpF30,4984768
mojolearn/identical/_mojolearn_embedding.so,sha256=uEXdMQzcpVp9cXMdfudoYWZ36zylhN4lfE_IKNyBlV0,372432
mojolearn/identical/_mojolearn_estimators.so,sha256=-1F3Rx-xALoSvIDAvX-IQ9OwLbdolsUrNkE49mTwAow,4198864
mojolearn/identical/_mojolearn_gbdt.so,sha256=1pLUob6u26fwWzUx0y-8hovM6TRSc-SmmtKyhA3hNQ8,7374848
mojolearn/identical/_mojolearn_gp.so,sha256=cTiymLxzXccHWt60Fn3nhXu7AEx2Wlmbz0yNZqMXF_A,2471248
mojolearn/identical/_mojolearn_hdbscan.so,sha256=qzmmzItGKdd62Sb47Fmhz5ux4q_xWEKKUAe96IBqnys,2059872
mojolearn/identical/_mojolearn_ivf.so,sha256=dfwpmhCvE66TXbNHYGi-fxynTYIbfnrQF5CSH7CJSgU,1256624
mojolearn/identical/_mojolearn_kernel_methods.so,sha256=nn5xdSM2WZy3bWXIYJRjcojZmtCS98O_ZhFZtWVPPNk,2399920
mojolearn/identical/_mojolearn_linalg.so,sha256=rSRZvUcHFgCMWwVNITI7ZYLbkqvVqfkZze-R1CHDtps,2064624
mojolearn/identical/_mojolearn_mamba.so,sha256=ggQVQM_YTekHzuDoqzFn2Dh3q7EYcaivWv3Y--9f6bc,3627872
mojolearn/identical/_mojolearn_metrics.so,sha256=7UjnqEmml6BMVKqvQKXIcu93SLNKzL_l5FP8dbOaARs,4818288
mojolearn/identical/_mojolearn_mixture.so,sha256=QhkNjcFmR_SSwcYlX3fOn1N5cK1UxwwsRUZYdZINL4o,3145584
mojolearn/identical/_mojolearn_preprocessing.so,sha256=36HC8nRVnb21cGlxMrYL6L5G8p0VtVr541Ha0S4folM,379616
mojolearn/identical/_mojolearn_resample.so,sha256=f9f5qkoBdOuPFauRYYtBlfnQfeBd5k0pY9pFn9f92ms,1220704
mojolearn/identical/_mojolearn_rf.so,sha256=Nux0Ihk9FKZOihxt3yLOA2BEv4Oe88GpKpO1H67gQic,1891408
mojolearn/identical/_mojolearn_solver.so,sha256=SxEhDWqkQa76gDdRQ2dzOOAfa1psY_hs2pmdaN5sY9s,2289584
mojolearn/identical/_mojolearn_svm.so,sha256=ByvFcU1ICHtOSbQjgULeqlCdPrKXI1IsVHl9Oz9fowY,2644976
mojolearn/identical/_mojolearn_training.so,sha256=cenrbQZMsPAyJ_gxywf0_lHZIP_tqSFeG6kZ6RWKYY4,2478368
mojolearn/identical/_mojolearn_transformer.so,sha256=0iZGmBSfRj_GGA38qe39mGbCMjgByIaCuv6PEe0jtXg,3920992
mojolearn/identical/_mojolearn_trees.so,sha256=dfUqBcdlwhXQF_AbA-4vzJDQsHsiWYnpq5mTgibjjBQ,1564096
mojolearn/identical/_mojolearn_tsa.so,sha256=slAiL1jBhl0gwHn2m81ppvwwAeUNyCCGmv9Np_saVgo,634096
mojolearn/identity_columns/2026-09-14_166-lanes/amd-mi325x-gfx942.json,sha256=Zdm4LKBiuvPtsmiA04ENNSFNPgpzKI3Nc3Z3CBIeHHs,1044687
mojolearn/identity_columns/2026-09-14_166-lanes/apple-m4.json,sha256=E5ZdDqyWoxqLJOTGbg_XV9Jyi7B4dVOs71IznS6ejLs,1059467
mojolearn/identity_columns/2026-09-14_166-lanes/nvidia-h100-sm_90a.json,sha256=EYlsVexPylPklx-nvQhXS36ebFbKtAw9kYxL9AjgIXk,1041271
mojolearn/identity_columns/COMMIT,sha256=2sK17p2aiNNi8U6Vk3pLHktoBmIH4dCRJQCUcFy8kVE,41
mojolearn/kernel_methods.py,sha256=1WJ9fEdrokrddKpePFnpkQg6CgWfnHU2yW3dDGeH908,27076
mojolearn/language_model.py,sha256=ToStCVXPx7fcDIhNGryuf1mUPZO-4zesSha5K-lxiSU,1808
mojolearn/linalg.py,sha256=_fKJ6Uw_p6dscDtQJZCuLthHru3P0zlVaLyXDmKXiok,2114
mojolearn/linear_model.py,sha256=reiVlnGRqLpeXpr8_51cD-diol1W4Fq3G1hl6rZuwG8,66142
mojolearn/lm_corpus.py,sha256=ms3l-fyQDXn3Lq4n-HUVCsNUDrQfL5v71mjxj_3vpao,27490
mojolearn/lowbit.py,sha256=FoeIPGkjw1V5Z9Zw2NFmOHLgDfuKF-gdB58iTjrgSrM,18696
mojolearn/mamba.py,sha256=jDy5YwPw-k356pKdBGTknpzCOhtPVKleEEw27yZCqsQ,2282
mojolearn/manifold.py,sha256=Qk0oKaD3j0RLHiS5-b1EzL_DY4IlDlz14U1DhLiNM5o,363
mojolearn/mixture.py,sha256=58-Nko4ykgeZw0sFtE7lfs_NE7qbqi8q52BIF7V5-fs,18507
mojolearn/model_pool_training.py,sha256=QtOJsWEsB2E9qVLzLjxwn0tD_FQSTJocOe038xoH_PM,4957
mojolearn/model_selection.py,sha256=vHN99eIT6_HIY-INealaRVNR2BN1UscGQYXR8Ny8IcQ,27058
mojolearn/models/__init__.py,sha256=cnrRXrEBQRAa4cOskpVWkTwRq-lNAB9aav3FgLa-vl0,2224
mojolearn/models/causal_lm.py,sha256=VW-_KdsKuoQdnKht0zhuCMQ0qPl0acijO0KBOYKMXLk,27220
mojolearn/models/config.py,sha256=UeXCs9rfQqgCWSSZpT7c5jW1KzJcxP5xutE3-jHBmjo,22901
mojolearn/models/parallel_causal_lm.py,sha256=y806HQ93egDn03Qb3-uW4HE_TOftr8MHOiOZJgSlPQI,9554
mojolearn/models/safetensors.py,sha256=1oHix9H7MvzHN7w3WxLYva-raSkIENIrsUs7_C-24jU,15184
mojolearn/models/tokenizer.py,sha256=Lc5zoO3920_4Ph2dfJw6VYPFuvP5574MeQvqgtgqWzI,28069
mojolearn/neighbors.py,sha256=R_ufce3t-r0ZfNCqOekh5MhzBvT55HIPlqIQZWRytWQ,73435
mojolearn/neural_inference.py,sha256=btaaHkybyKGdXaJkjZI5q7-RBOpJwqa5ldrweGOY5Xc,21029
mojolearn/neural_network.py,sha256=3BVvoAj6-nsSX-8YWpYk5k1KG6qs_hZLtlN-04e6gCk,160
mojolearn/offload_training.py,sha256=egyfcoEpH2zOzPO8lNb0Cr4TIO5Pc51PgQDybm9z0wM,4114
mojolearn/parallel_classical.py,sha256=reOE5N_2-ei4gFyxjK2sa0EbeU8vMxxlL8UylbBxF70,24506
mojolearn/parallel_ensemble.py,sha256=qQIALDgUTuHSwQhRxtW_8gWFaxMAff3kgkU4yAGGiyY,12640
mojolearn/parallel_forecasting.py,sha256=991n-xqBDJA3Xvb8mGVUcfk_h__Cxi2nY8Wi2YFtsUc,7558
mojolearn/parallel_gaussian_process.py,sha256=54W9ejawK5NDC1sk6d8d-ZPFtyr3X8vrZqm7KhsW0Yo,4852
mojolearn/parallel_graph.py,sha256=x1ft6lEMiWi0aBWXDAG-VAmdjl7McxzkE9zS7eV-Pto,2719
mojolearn/parallel_ivf.py,sha256=r2FP51ViD44Mkta230WAHJILe97K1AttGxGd3Gh_3R0,8320
mojolearn/parallel_model_selection.py,sha256=4RD8W9KydhQssKg63PWB_rj7ijHK1zChGW5_Nd7wT4k,5781
mojolearn/parallel_neighbors.py,sha256=Lk59l2avKlfPV2dmxDBpqEQcmgpb-qXJ8kFpvT8tfkU,4803
mojolearn/parallel_neighbors_reference.py,sha256=sShr_YoRQbapd4-hf2QmhgeMfO_GIL3bOK2inBSyKGs,11308
mojolearn/parallel_preprocessing.py,sha256=fCm0cob5UIHopUP0oT1vruzXXXzQs8B8vs1L82HkPGo,4143
mojolearn/parallel_training.py,sha256=ky6CbQK45t7f4aMe8HSZLcq55860KQTaYXiXv3roaj0,18372
mojolearn/preprocessing.py,sha256=bzf4x2xFT1bQCN6-YCUUyM131IujN4z7k5izpIs1qkY,19199
mojolearn/randomforest.py,sha256=mQOS6-wTpDyxhSyXhMvK-7hlST6uSwHy8L34U0k2vpY,39620
mojolearn/reference_cards/kmeans.identical.fp32.v1.card.PLACEHOLDER,sha256=lUJLGYSXWV6mJxTTGb5g76ncuWshvKTfHxtO8a_iCLE,2702
mojolearn/resample.py,sha256=LrMs_qrv3EGu-bjKZc4joLXXZEeL2NX49x194wUopAk,10484
mojolearn/svm.py,sha256=Z6h98UduOmXgmcI56n5p_YN9ZvWUfI_QlIj-ynUUoWc,11266
mojolearn/tokenizer.py,sha256=6OqO9sNfozRNVrsMy4ObEOl7VqjbwCVNRLaaWG1DBkk,30902
mojolearn/training.py,sha256=8OgiEFiim_-Wenv7z5cm9DeFULsb3vsQzFXZIY1jxcE,3041
mojolearn/transformer.py,sha256=5kQOpWBYHimdjctbsINQaYRFdYMZ0NF6oVUxdVfyKFU,3088
mojolearn/umap.py,sha256=fVndFSw0BxlFqgAqNN3vOjTN0UPUOK_CVhPOqCnmtXo,461
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.base.npz,sha256=vzvqbepocNWtOrZM-Cvzy2wq8cpaZf99DaauexI0KoM,63999
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.denormal.npz,sha256=yva8Ia_1KX1u6D4Ew9kSHHkHeI30ljR70s-lDl5H8lw,64020
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.denormal_ftz.npz,sha256=yva8Ia_1KX1u6D4Ew9kSHHkHeI30ljR70s-lDl5H8lw,64020
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.dupes.npz,sha256=SEBKng3urQ5gJNIJiMT2B5MO-ztSffmFk6p6VqeVBP8,64157
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.hashed.npz,sha256=FJVqNO5lBkyOUnfasjNh2UiYDgtrnqUe-qhPWF4ro0I,63736
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.negative.npz,sha256=GCw68hGTLa6SQSZzUSR_dKHWeDf-effLEpXyxxXjIUI,63665
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.odd.npz,sha256=0SuKkt-vT1fxb7kD-C_T8swXKorox80GeZvFs2KbAYM,64033
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.ties.npz,sha256=Gony8MS0CJw2d7kVebxaV_Bs0_J8souS9epRehWubd4,43721
mojolearn/verify_reference/ctr_models/gbdt-categorical-ctr-tables.wide.npz,sha256=m0AMccrVCvBybSLqCMTxRkIVUXKhlbzkHn1Ub7P7nK8,66176
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.base.npz,sha256=1wG4c3UYDksZYzc9Vge6nNmhL6iHv-TTKCBuEky1t3Y,3913
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.denormal.npz,sha256=GkOCdphG_GSq6h2ZOzzbqQzwfyevtB26_k3L5I1pwys,3918
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.denormal_ftz.npz,sha256=GkOCdphG_GSq6h2ZOzzbqQzwfyevtB26_k3L5I1pwys,3918
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.dupes.npz,sha256=-ZuQpG9HoJzD6142-IdLuRMuOiu4GeaenZBl_Fqv1p4,3917
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.hashed.npz,sha256=XBAliH8aQRIl578nNOyK82VfZO67fGTpV0OuoEt51YI,3940
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.negative.npz,sha256=04hpfFUnXl-77ev5dd8eLUWRN1uWvxiUNXhMAJzB4_s,3922
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.odd.npz,sha256=QUi8Hz-bfocj5F7jch52yudyxVitQNYo0CH9hWgH2Is,3916
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.ties.npz,sha256=QnSxI6hjWEr02q7SYCpvYRHiO3WfVKlM60jxBo4SRhw,3847
mojolearn/verify_reference/ctr_models/gbdt-tensor-ctr-tables.wide.npz,sha256=52j216hWyj_FhB0GKke2Vbx1ev07Cm99foB0498SIfU,3950
mojolearn/verify_reference/models/gbdt-symmetric.base.npz,sha256=7ndsM_BSZ5qvbuentpnKxgPhscQRwS9n4E6kNUxPoTU,79675
mojolearn/verify_reference/models/kernel-ridge-laplacian.base.npz,sha256=jCIqW4nQ9SDPkPXmoEyIIbVtXOL35OY_eyWMsZ6mh5I,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.denormal.npz,sha256=BHhyzJ1XuXkOglJVFsYzo_xPnZ-o4kmST907VlZ2MzQ,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.denormal_ftz.npz,sha256=Zji35aBaHwixMorXfr56bd8Cz3SPavqdaysEN1H37dY,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.dupes.npz,sha256=oGMqh-801zcyVD4WqY5g1-_eTDZgtFeBLpyvM0WIul4,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.hashed.npz,sha256=7N0goY_dz6wSMpgULr-9pA6gD7MR3ylrDVsoTabdq5Q,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.negative.npz,sha256=alH2DhTLwN0E9so2Q2sFa2ftjNrFA0Y6pNSPCfL8EG8,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.odd.npz,sha256=JC1jZc6J4YWDyxsAJoocxUuHnt1ttK8gwfG-zHo55Rc,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.ties.npz,sha256=hXq3_wxnucreUn3jzG84dAofcccJJeZWcba71XrJy0g,2812
mojolearn/verify_reference/models/kernel-ridge-laplacian.wide.npz,sha256=lbc0rLFH_gU0VrcpiWU5ieUjETTBqLZi-4D79XxcFXg,2812
mojolearn/verify_reference/models/kernel-ridge-poly.base.npz,sha256=PLW1VDkrnGS6jxbHIKw0fxbCQz3FzsLVSkubJWdZbT4,2812
mojolearn/verify_reference/models/kernel-ridge-poly.denormal.npz,sha256=yFyV7bUdtTu-xvKfPFnRIAnKvHBpz8K9AlAvgdWBWjg,2812
mojolearn/verify_reference/models/kernel-ridge-poly.denormal_ftz.npz,sha256=vHLNQjqoI8vnU5URpbsru5Se-_XF1v-20BAehu_arfk,2812
mojolearn/verify_reference/models/kernel-ridge-poly.dupes.npz,sha256=phAWDJhLXageUsuJUkmhJK0F7h_jTyXAI26cCJligSw,2812
mojolearn/verify_reference/models/kernel-ridge-poly.hashed.npz,sha256=jM8yguBW-wlbrkm55HvfZ9hC_7XY8PQGcHXCXaj9fL0,2812
mojolearn/verify_reference/models/kernel-ridge-poly.negative.npz,sha256=c6m8b3KmeVboxiejRR6wavW3tWkugM3K-GCQFtE4ovI,2812
mojolearn/verify_reference/models/kernel-ridge-poly.odd.npz,sha256=u_ePVRuinPuhpCoxIaEjArGWXTPWfivAtDOKllVhrZo,2812
mojolearn/verify_reference/models/kernel-ridge-poly.ties.npz,sha256=w1wsXOmcNFamHhYfpsxBtWcRgDdnyNAIak1PZjtV5yU,2812
mojolearn/verify_reference/models/kernel-ridge-poly.wide.npz,sha256=THhKs9-hdYEwWpyGZctvwvlgLwDwbS0LGiRBDJS0VK4,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.base.npz,sha256=AbgLr6edfhG5Dyb1qPuy3icqg_Yp5O0fO-R5ER90jIk,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.denormal.npz,sha256=ruEdjhWbXQYt7K6U6kqm3qEjYEb4p0e1khxcm__4Zzw,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.denormal_ftz.npz,sha256=c46t7OoogiNi_uR1xNVZi4C6gj89RLijF6YYoA9F5ro,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.dupes.npz,sha256=e-QN7WSnIypPVaJ6bX7va1lK3A_pcya2JRywURFeUiE,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.hashed.npz,sha256=kHYgiqFOYtn854foEB-URtQ96D8Ug7pm1PZ0M8TmpAM,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.negative.npz,sha256=bTcgi8Jh-3kwMUFCClJJ9NnZpCVTROwiTdb5MwFBjxs,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.odd.npz,sha256=pcMQaLty9VBzbaZU4jJplUj9MzyZL3CihJr5nqUHriw,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.ties.npz,sha256=RF28MtTpYRxs4I6vEKTfG6Dkdd21LPEO-P2Panb6j5c,2812
mojolearn/verify_reference/models/kernel-ridge-sigmoid.wide.npz,sha256=tJy_MbMorAgMnEhgM9mxb2KvtaFhw75gm-xFvaXxDKA,2812
mojolearn/verify_reference/models/models.json,sha256=LzU__JxYztx4xCLz35_N3pIzF0urqZ2bgvGNFtK4200,44278
mojolearn/verify_reference/models/nystroem-laplacian.base.npz,sha256=KPRpXNRGW_0fM0lwrrrF8PilqbUufTvVrPJ_pH_aY9U,3256
mojolearn/verify_reference/models/nystroem-laplacian.denormal.npz,sha256=NucJcobCu5eNuBuuRshdyC1-U1pQ2PkfM335wK_QEUM,3256
mojolearn/verify_reference/models/nystroem-laplacian.denormal_ftz.npz,sha256=g3wksVMxbm8ywUci8u1aUDZHQNx3ZmDTEz96ml7R-Oo,3256
mojolearn/verify_reference/models/nystroem-laplacian.dupes.npz,sha256=KPRpXNRGW_0fM0lwrrrF8PilqbUufTvVrPJ_pH_aY9U,3256
mojolearn/verify_reference/models/nystroem-laplacian.hashed.npz,sha256=U5mRwZ6HkJNMe-7hYGKnOUlRYTHO-Cnv0yukHob6tkI,3256
mojolearn/verify_reference/models/nystroem-laplacian.negative.npz,sha256=ve1DOtYrlEOavb-ZDEEvWIHwabOZhxhnuO2lpIbC8OY,3256
mojolearn/verify_reference/models/nystroem-laplacian.odd.npz,sha256=lnBOhq-Mw9bTvfavUkuKPCg5MyQwomHzCVwTVT0TmWw,3256
mojolearn/verify_reference/models/nystroem-laplacian.ties.npz,sha256=v_PG3cnrG8tHSkN9Hk_hbl6x1RL25Y4OrFfCKyYaZWc,3256
mojolearn/verify_reference/models/nystroem-laplacian.wide.npz,sha256=3_i7rFbJuNulDF0_x1zoVPr43RjD1VXIVXaQGM-KZik,3256
mojolearn/verify_reference/models/nystroem-poly.base.npz,sha256=x3Sr2YPUwX6jW3pcoNLF3neZCYThXPJx6VpUKHRh3-s,3256
mojolearn/verify_reference/models/nystroem-poly.denormal.npz,sha256=YGJagHmmXGUHcpJy8eRMcwn52l-H6WRk02AnJ9eia3o,3256
mojolearn/verify_reference/models/nystroem-poly.denormal_ftz.npz,sha256=uub9AxdheYJKX6eYp3D-QbAQe2dUA6QVe9WQRYhDNsQ,3256
mojolearn/verify_reference/models/nystroem-poly.dupes.npz,sha256=x3Sr2YPUwX6jW3pcoNLF3neZCYThXPJx6VpUKHRh3-s,3256
mojolearn/verify_reference/models/nystroem-poly.hashed.npz,sha256=anWkbKk6JJXqU6Axa7Gzuhi2BD5AZyQhnV7AwAwr0Sg,3256
mojolearn/verify_reference/models/nystroem-poly.negative.npz,sha256=8_cXoY1Lg3OaQOiELbSZDH4gjd7Q9rM-oVzheZtJzZs,3256
mojolearn/verify_reference/models/nystroem-poly.odd.npz,sha256=cQ7EAnrvZfm6E6b7ehtWDX-_MFoeJsq69OkiiJFehSc,3256
mojolearn/verify_reference/models/nystroem-poly.ties.npz,sha256=g_vnmItAiFZKgPF4y7MrLmWXsm1HzASTcInSUf96mbY,3256
mojolearn/verify_reference/models/nystroem-poly.wide.npz,sha256=sx6s_g_uMwgBuy7nRnAMi5C_fXWSobxD_iYt9IeODyE,3256
mojolearn/verify_reference/models/nystroem-sigmoid.base.npz,sha256=tgZTZYgCByjW4qz0Yib-1BPLbnDNbHCPnGLB9c9WhtU,3256
mojolearn/verify_reference/models/nystroem-sigmoid.denormal.npz,sha256=S_pABRTQ7L_1564OxeEJ8L8s_wXxy2R0X-dBbaELTKA,3256
mojolearn/verify_reference/models/nystroem-sigmoid.denormal_ftz.npz,sha256=nJ4aKYkw2y3DMYKUdW1kimTlHvZDpcybefMQvf9SQos,3256
mojolearn/verify_reference/models/nystroem-sigmoid.dupes.npz,sha256=tgZTZYgCByjW4qz0Yib-1BPLbnDNbHCPnGLB9c9WhtU,3256
mojolearn/verify_reference/models/nystroem-sigmoid.hashed.npz,sha256=AgpA4DtVKAlZvV1UyAVOh469eALfKkDX6rMcoXPo4Uo,3256
mojolearn/verify_reference/models/nystroem-sigmoid.negative.npz,sha256=KQMk1onM3ZVgUuUI_IVJsucZzbDUWK38f9u5xeJ1Acs,3256
mojolearn/verify_reference/models/nystroem-sigmoid.odd.npz,sha256=4hEDOVyb6dE8X879DVHhlzJXNLkgm_mdJ3e5SPmOpdA,3256
mojolearn/verify_reference/models/nystroem-sigmoid.ties.npz,sha256=U18jEi76X6nBWwQB-S83_eqvbAxIUc71QujsS8xbezM,3256
mojolearn/verify_reference/models/nystroem-sigmoid.wide.npz,sha256=Dxdl1oVaYakhZvbPOHgYCFV0aZjvitV1JHYVkbQx4Xg,3256
mojolearn/verify_reference/models/ols.base.npz,sha256=qEKJN36pGA-l3SMPKdTAHdieZI54kNCZjJXwci-2jmA,1642
mojolearn/verify_reference/models/pca.base.npz,sha256=tBpAjvb_uMlx3DOaRkDvbn5N6yV__MtyjwuSOsiXoZ0,3138
mojolearn/verify_reference/models/rf-clf.base.npz,sha256=7RWSorCrFlhogDIXqQSsAQf8rEV-ZhkTUwGCEbZghDg,94660
mojolearn/verify_reference/table.json,sha256=6V-7uGOTO71hH8uKLkci79078z99fMePF5iCw6vQt8k,1835820
mojolearn-0.8.13.dist-info/METADATA,sha256=BiwVn4_PQK5xRs-u3xASCYYa6eU0wGKaAG7d31PFNw4,50301
mojolearn-0.8.13.dist-info/WHEEL,sha256=zK2k0HX4f50wJh68VCxBofh8dxtINe5AgcjHabpbol4,106
mojolearn-0.8.13.dist-info/entry_points.txt,sha256=1HQkmm404EZKg94thbOOLVXqazbAaPQVYTu4cKWDMFY,57
mojolearn-0.8.13.dist-info/licenses/LICENSE,sha256=z8d0m5b2O9McPEK1xHG_dWgUBT6EfBDz6wA0F7xSPTA,11358
mojolearn-0.8.13.dist-info/licenses/NOTICE,sha256=XjpqyxNvj6Zky_HMV52oy69gRlXOhdiRXDu8kv4dZGE,1453
mojolearn-0.8.13.dist-info/portable-math.json,sha256=mQq9PYs5kSMifiy6QdaSWwXAB_DpTi6Hp8vDCpy8m2s,16507
mojolearn-0.8.13.dist-info/top_level.txt,sha256=BN-mifdqqVhdkhxFXFjQ8B1dlBKuXXQku3ImXL_8lrg,32
mojolearn_diagnostics.py,sha256=1Q90z7W1RvU5kyRRJ7WNOvUDEAjlYUI4fSEY7C_Gr5c,20468
mojolearn-0.8.13.dist-info/RECORD,,
