thinc/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/__init__.py,sha256=SlJA230Gx0uIc0RiqTnZ_Q-zqjpN8DULjazOymSatxE,147
thinc/about.py,sha256=D0GwHvGEDCQWQ7SmjV-hhrZCpKuSKsrokPSXo5JSwtw,46
thinc/api.py,sha256=Pio23vb-B5amhd2-xKr_7bZUlyApw1vhPMzM_iN1X3E,2329
thinc/config.py,sha256=eznIk9bo_U0NHeGQQSaK787gKFEBx0VFg6Ub9e1by5Q,47370
thinc/initializers.py,sha256=DR22nXO3d8KKcksC4gr1CKOaN17OBvDgy1sLYkJeioc,3817
thinc/loss.py,sha256=116QOWZtLSldK0gsDdaUdRE0XYReFQ82ueLHN_viyIQ,12010
thinc/model.py,sha256=0CfovPnKvhXAOveILmrCWlvFfc1IUTDaMYXhOZy1ulk,31893
thinc/mypy.py,sha256=_8VLRyTb4qlslUnB0UIj1C0gW_AOFS6JQj73vkY_Y7E,5796
thinc/optimizers.py,sha256=HAOrVjmw94wAO2cHXz-T0gWtAxQiaCcMnggVmpONAok,11992
thinc/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/schedules.py,sha256=ZAzgVXCG1KrhEf329KeditEHef8KA0YZO9e6ECEdDm4,3846
thinc/types.py,sha256=ZEpYdiuxIXC7ausM9yurOHnafTG3Uo3XAeibtA5TK9g,39574
thinc/util.py,sha256=3L636UAYdNhIF8g5VybdiPd2TDcV7Xy9Strroqn71Jo,14600
thinc/backends/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/backends/__init__.py,sha256=UWDRhsAWrR9DCXIkW8tYUl60-hb0RmZXDhEskJ722fw,3722
thinc/backends/_cupy_allocators.py,sha256=Qk5zxuZFrecyliy_mZhbhfLBduVLe09qYpd2RHsCpWQ,2288
thinc/backends/_custom_kernels.cu,sha256=PBPhFhr9j8HI0bLeALz8KTGQeZmUnWMWuMTjnpwNKp8,11100
thinc/backends/_custom_kernels.py,sha256=ZbI18hPaD-1Fwc6QfhwAE5h7xLiZX0SIPN228_eO77E,6294
thinc/backends/_murmur3.cu,sha256=rkwVb8Np59rVIzrokrT8pz-tDUKbvDcnQH_aSn7ZqPo,5398
thinc/backends/_param_server.py,sha256=BayKBSvRViPyHXB5oIeUzwevuKa2agnUIEF5wm-HqeE,2821
thinc/backends/cupy_ops.py,sha256=wXmbHaaB2dZRXmTwYCmZ7MkaF6WzezeQEZHHL5-V7h4,5220
thinc/backends/linalg.cp38-win_amd64.pyd,sha256=GOoUQymaHfUHzdOgkgF6pLXU_7mKyss3Ulw2peEUDQA,38400
thinc/backends/linalg.cpp,sha256=6ey-n5ch52-0ed7BxMWuCL-XbD1MSUFfHD_NIEem23k,238442
thinc/backends/linalg.pxd,sha256=SMr-meJL1Y02ZsxFLAiVu10wMMaewS2tPJ5k2fUtWuY,8643
thinc/backends/linalg.pyx,sha256=L_kBR1zSX--Z3R05GMEEg6_EAjP_iqxi4Ywy31GOEv4,57
thinc/backends/numpy_ops.cp38-win_amd64.pyd,sha256=xTZZrj3ZTMEWadMFzkCfI0OOvGMwkyrUi_XmH6iqaHw,321536
thinc/backends/numpy_ops.cpp,sha256=6zcTQ7Xhp01hrEwtcNmDHmmkDcQG_OcO5-pl6rE0XIc,1588662
thinc/backends/numpy_ops.pxd,sha256=szGTiYI3HCAkECOfdc2HVQIE8yyyLL4kyUjCUm4rXrI,1029
thinc/backends/numpy_ops.pyx,sha256=vbLhBxBBVj2xusix9oAvEqQpEjiDwM9bS0HBqus-Vt8,24608
thinc/backends/ops.py,sha256=rCPME4oUmNexef3CnFSegJQlu2Ya4yjmIViWuzc2yak,37902
thinc/extra/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/search.cp38-win_amd64.pyd,sha256=XUVd1Q3EqLnF2oE1H-2zoek2kFSN6LftJmJBu1ZRDq8,136704
thinc/extra/search.cpp,sha256=HO7HG-3Bc2g_vaZP3N39mjuD9yrdJvDGRHT5ISsJ3u8,566912
thinc/extra/search.pxd,sha256=a70qPdXPSmL_-A_kaBmE2jnGbhKCqoBuwgfs4cQvYos,2769
thinc/extra/search.pyx,sha256=BKQEUdfzRIOjlexXCvdSaJyaBSGTVTcW9kGVq1BwnxY,12509
thinc/extra/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/tests/c_test_search.pyx,sha256=SMND0oxWdkMUN78rc_RjFK2TasxNGrbuvqQVh-WCU-8,2463
thinc/layers/__init__.py,sha256=TdzeXfJJbHI4AGCskSfmv79PKsmJ4duuS4Sz_8HZI7Y,2796
thinc/layers/add.py,sha256=OwVfkpm_QzuGH1ohKt6X8zkuUefY_EuQMKbTZemqe9M,2085
thinc/layers/array_getitem.py,sha256=vUnQwOrgJeJ8KvRGzuo3k65q1GxF2gOuRUF56_8lecw,1580
thinc/layers/bidirectional.py,sha256=3yMhRkshrE1xV8hxjqnNLvf_dBG1uc2omlfOUlpo-zY,2294
thinc/layers/cauchysimilarity.py,sha256=K4sF7GD4AVoI-WuBH30cB-3U96qL_czw0ZkpeCjqwkE,1854
thinc/layers/chain.py,sha256=SM-Pw7fagEJbbQ6CA5YBK_Uq_bEoe7JCJGZVmeVUmUE,3397
thinc/layers/clone.py,sha256=U1Qewvkaf7Duirp78CW2s5CZxe0XVqFK9PVAgf4Z6jU,674
thinc/layers/concatenate.py,sha256=XIqLNP87vwMwi7xRANROLbSxZHJBXUL1BYLDAinOIV0,4779
thinc/layers/dropout.py,sha256=6fP3vkV419oItYKPSmnz91ghbWpGA4AtmVEevmlcVcs,2992
thinc/layers/embed.py,sha256=qUO9OJwOoMfmXxjUWF-NQxAJdSXa_NjtyZAHGMW2bz0,2710
thinc/layers/expand_window.py,sha256=G79gr5-kRrs1vgBnbkIpjZHlRZFS12Ij3dJB09veTAA,872
thinc/layers/hashembed.py,sha256=YBOIMPYvi9wCIOv6QfN2aIWaPp3-BSzCU9fn1PpSTGs,3088
thinc/layers/layernorm.py,sha256=U49F-h6iI189NzyAXjNhCKhhx9A1wuwtNGEzmRPQFSU,2417
thinc/layers/linear.py,sha256=Lf28etIXj0XISdn38bK4ZGkF9ehTYsuPir7je5wkSTo,1699
thinc/layers/list2array.py,sha256=FDFJxooO7RZ_vnL3eLwUGZpbje6T0FBbqYMbs97Ejgw,846
thinc/layers/list2padded.py,sha256=lljcY2IOH_-M0sISwD4pFvjrEfhRiNEXxWzsqGyNib4,631
thinc/layers/list2ragged.py,sha256=6zq42QxxR_M0nOx3htJfMzkfgHkNTYmViJZnVT3CA_w,857
thinc/layers/logistic.py,sha256=ZVzjNBIUnHPDOexKWSrjqkScFkthkrM7LIeuax7TGwQ,535
thinc/layers/lstm.py,sha256=jOnbLn8wGiPXqCqh-AWy4NQWhQTy2mSqZ50MBZ0B59I,3224
thinc/layers/maxout.py,sha256=lSRH7xz58xrSeCBO7Nd735wUhhajeCvaIfspbKwBIIo,2579
thinc/layers/mish.py,sha256=WZG9E8wAnLiIKDwGvYx2HL0mlo1aQDrDgp_gmP8bVXM,2263
thinc/layers/multisoftmax.py,sha256=IabBKdwXK5UT1R0hIQYxvBrKc4SukVdZTRFqirwO0sU,1856
thinc/layers/mxnetwrapper.py,sha256=b6ZFQLthTWVZAy4k2ZB26idcuComx3cpuaWdmGSvJ2o,4416
thinc/layers/noop.py,sha256=SCn_ULAHUsTXZRHc8-1gqzrbgJjBOfCnOFktGfymq8w,534
thinc/layers/padded2list.py,sha256=A2n0VJYF3iEs0ITcVE3yaffM0zl17t-RFnuOWhHM_ao,692
thinc/layers/parametricattention.py,sha256=oc1x1UyV0k7Bhkby9jIkEXQlDt7epQlAWoLHhNCjRTs,2058
thinc/layers/pytorchwrapper.py,sha256=TPV2syVCm-epOXOPZzXu1jyma5M_EZrRZu8mt9qgioM,6032
thinc/layers/ragged2list.py,sha256=Vv51uwV9rSaFT2c8uOBmY179dEt8T53k4Jqmn5s1AtU,687
thinc/layers/reduce_max.py,sha256=uLeObiywbp9784EXQpONurkWLakVMx4uxN6A2oWDCkI,634
thinc/layers/reduce_mean.py,sha256=_20fMhsERw7A6pPWmPD-eL1STeeI_p9vZI36YwUPN1k,625
thinc/layers/reduce_sum.py,sha256=1rfFZLGG7fLQeINLjxQJngOqs8A-avjNhrHWewKYU6o,620
thinc/layers/relu.py,sha256=dID06Aea51uabj5PmJgPXoo8nUWg_sS8kAEDgKahlRU,2046
thinc/layers/remap_ids.py,sha256=Y7ci7L1GFK6WWTodopmtGx9YdhphqMz9PLpKo6Tc-So,1241
thinc/layers/residual.py,sha256=Crmeb7SlgrwFM53ByFu-yUDbxXQlwaKcbXKaX8fr3x0,2038
thinc/layers/siamese.py,sha256=3x3xzsTId5-An69O8E4R18jFSVPK4AP1s9cPwIroNq4,1676
thinc/layers/softmax.py,sha256=gLaS4x__abv-MAJAN1V2_Cczj1t9aeZAzSrhozmn3Iw,1673
thinc/layers/softmax_activation.py,sha256=REi-c_m7cBjE8rxltrSZolk6DCE4q1pnU5zyB5YHOgM,566
thinc/layers/sparselinear.cp38-win_amd64.pyd,sha256=nbiTI0D6gfGmc3VXDVU_lmuNYil0WxNjumC5woB-dUg,207360
thinc/layers/sparselinear.cpp,sha256=ixV8bJZMnjCITzWade-7vM5v2Imx7yqcaUZ08lDZIZY,1054246
thinc/layers/sparselinear.pyx,sha256=jniZNiUJImirjdkcYGqv5czGaT1Y9dUX5GvvqT_lsvU,6018
thinc/layers/strings2arrays.py,sha256=xuc28dW6cxd3KYU-l0gRlrRX7e_WYXE8dGVSVBdA-Bk,832
thinc/layers/tensorflowwrapper.py,sha256=9le2pZ0onLYI9tHmT-z8lElgJalAdnRDiKuDgl-iyYs,6741
thinc/layers/uniqued.py,sha256=bqkcCNxcnJTA0ayC-X8XBeAOPMv3clD5UQidyfYRavg,2156
thinc/layers/with_array.py,sha256=YBH6gYI33UhVtCvO_6I97DBjZceql3Z8Yds6i0oEdik,4274
thinc/layers/with_cpu.py,sha256=saErG-NCU1RMTkf8x_bMihinUcTfzKAnBfXi8hziiL0,1805
thinc/layers/with_debug.py,sha256=vIZoAr8GK6XSClk4MvREfmvgtpwVLrjt24UeVLPYDvg,1241
thinc/layers/with_flatten.py,sha256=o9e4AGq2tErMYJfdhEflTQ-GmrpQdOX5_xadBJS7sD4,1606
thinc/layers/with_getitem.py,sha256=zm5FwwdLLTLJVMSRcMfPOQ-gvdfeeEbt_juKuJLhMZg,1239
thinc/layers/with_list.py,sha256=MgIrKf_ra48OHpxEvtX4NtnZrIAJHa8dFrYlXbWw0TI,2811
thinc/layers/with_padded.py,sha256=v1_6F6tgmjzEcBUhXmATr2VP4VkHz-MjvVcHbaZLk8E,4463
thinc/layers/with_ragged.py,sha256=rjWRDXIhaEthmVfWnzQC1on3TNgUlidq_mYBVicIcDQ,3801
thinc/layers/with_reshape.py,sha256=5gsIhCTtDCTpwn3zEMpDiVB5S6VRpq0Iys9-6YQaFG4,1911
thinc/shims/__init__.py,sha256=u5EDUOafEqXZBfzfOBYRJX-0p8153_I7lwomrijPLas,168
thinc/shims/mxnet.py,sha256=tfbk6qy-taLXgk4OMvLhqdxWsl4BbdvyxxD6viyeLZw,4511
thinc/shims/pytorch.py,sha256=jX5YaifUZBtJ2QyqB5DtBnqzMG0R1H4BYhepni5v6ao,4196
thinc/shims/shim.py,sha256=aVTJLEpvdG8x84QmO0b5CBsjzYyzclYQfHyuNMqC05w,2438
thinc/shims/tensorflow.py,sha256=3_et9GF9j8-2iQ1fBLWs1Y26H-3b5zrnML1Gbn216Ek,11011
thinc/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/conftest.py,sha256=R_7e9P_aoJz2XJwIYsuH6ikgOpT3BOK6ABnwgnGnPPA,806
thinc/tests/strategies.py,sha256=cCrkN6fOnfdWNvFftChotQqFDUwuK7cRqiBzjt5hFsM,3562
thinc/tests/test_config.py,sha256=_DnSlc_TnXu5MR4ggjZOc-EPn7oxPn17GKwO1RPMzoU,51663
thinc/tests/test_examples.py,sha256=6xajP0yDXU-29aPkeE4ipUT1SOVmTpaOY-qFor4G4L0,1700
thinc/tests/test_indexing.py,sha256=OUi0ddurL9FX2h-8lKer9xYfBfLPlb7tXOfYn7kKEnE,1479
thinc/tests/test_initializers.py,sha256=VN-taSvD8FxjE9cJtniY8X6eDHEmfeyhdHOI3wqB5Kk,1015
thinc/tests/test_loss.py,sha256=zlP6OGwfFLHrEWjub9jADtBZNUjQ29wmXL-Wknmj9KU,7511
thinc/tests/test_optimizers.py,sha256=ssLesoV-4LexalazMb-nYYzQEctsVy26WUOmaEnivPs,3146
thinc/tests/test_schedules.py,sha256=82SPI-0YW-acEoLnQTTlD__QV5wO_HZyqstmnQ2i_qs,1754
thinc/tests/test_serialize.py,sha256=5f3otauTpUCBXcv5mDHQSLzScCWf3YE6usbxnxsDelk,6974
thinc/tests/test_types.py,sha256=qhFiSfyCEYjcJ11UsD_j8S9k2j_riHRK3k8jZWFU-rI,1343
thinc/tests/test_util.py,sha256=YkSZ7mtBoUsWfcXerOHiwWGBikbSu2CSO5xNhUo4LRI,2838
thinc/tests/util.py,sha256=S-k4mFIuuhWyAFGOadLL490MswRBrs8qu8OpA73-MP4,3507
thinc/tests/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/backends/test_mem.py,sha256=4Bfy05J_xB55MaTKnOAWm7suI2As4sWbU-EauC-Ping,369
thinc/tests/backends/test_ops.py,sha256=P18r3ZwVlKHUnqis1gTkWOYadLLhaivu0NY9UMfUenk,14432
thinc/tests/extra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/extra/test_beam_search.py,sha256=5m_rwsKvdzm_6ZtFsgh3kddxoCj6nskCicHwZymParc,93
thinc/tests/layers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/layers/test_basic_tagger.py,sha256=QV3vQ4Zh9zXQOagecPQ1pUOY9RAT-bljpvO1UzYZdv4,2445
thinc/tests/layers/test_combinators.py,sha256=smwbRaEExaBLNhIWgCdRAhhjx4yCwC55CgU9GGWu7DE,6044
thinc/tests/layers/test_feed_forward.py,sha256=deL3tDm4mH2g79nZ69tO9a_5UgsUnKw60Ov-jyV9FH0,5633
thinc/tests/layers/test_hash_embed.py,sha256=RGO55VvTkqVBQkSPncqyJvRB6XxCotw1fHnuJouOJAU,550
thinc/tests/layers/test_layers_api.py,sha256=iNKzqqn-a6SYA6ceXCdrLZHbHvx5oRtetm889IsXbfQ,8145
thinc/tests/layers/test_linear.py,sha256=1tfJz2nrSJhl1Ywvw-NhVlfsOfSDLdfqR0PAW18zqVs,7553
thinc/tests/layers/test_lstm.py,sha256=hnMWlK4F7vq2QgNJklGZinXmf5Px_p2Ju4Ig8aFdJwk,5191
thinc/tests/layers/test_mnist.py,sha256=rdjNVqRH6gHJZWrMXWKTGpjgGTkhJstBAcrzLbOgwCM,3508
thinc/tests/layers/test_mxnet_wrapper.py,sha256=UVi1LAxMmEc5dtGgX1-Lkgkkf1x0xC4HC2FgHWCawUM,6427
thinc/tests/layers/test_pytorch_wrapper.py,sha256=yLJDxvVDQ9BcUp1YHNvgJhbKAx2y6auT0p0mFhRw5ug,3682
thinc/tests/layers/test_sparse_linear.py,sha256=PM8XI6iIL2fITZgD6dvqG_koCWQ319pUy8dzfnSV17c,1209
thinc/tests/layers/test_tensorflow_wrapper.py,sha256=zzzxeFjT2JULPptZGN19DAJP2rkEBcfyMpjZWjvf6y8,12848
thinc/tests/layers/test_transforms.py,sha256=Z9Y-4K6OxVPlO6gy2risG5fUyDYraiRhdg8JpIaKSsM,2053
thinc/tests/layers/test_uniqued.py,sha256=T6Pu4qKVtbZByQLYLg5hWjjnojnJV-JR4jrbrK__7V8,2277
thinc/tests/layers/test_with_debug.py,sha256=itm9TP2Y6CA1IDX3DiKnevBME5yc5OdUJPwdyOvw-xI,826
thinc/tests/layers/test_with_transforms.py,sha256=378E9jT-QE7LmfqT-fMUD1xGMDqciSOuQGLwGprRmyI,8286
thinc/tests/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/model/test_model.py,sha256=g_hhKveqaJo9VL1Ka6UIblfr3vCv5BTjFTYvNyUlcqA,12731
thinc/tests/model/test_validation.py,sha256=9hV5n6yhs-eWrZf_k5OrhaqTYbN98xsUNO7ssIvCJNA,1289
thinc/tests/mypy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/mypy/test_mypy.py,sha256=myWB-t2Pvpi0V7aRBb3SwS01jb7VU9wlvUNTG-BISQM,2921
thinc/tests/mypy/configs/mypy-default.ini,sha256=PSZ1M9DCNyH2FnzWHd16kfiNGVVs0m4HZMzzm3MaRB4,203
thinc/tests/mypy/configs/mypy-plugin.ini,sha256=qFlHNcPacAgVtX5Pnwnhe1TvVhlrnnF5IL3L7-u6sGc,227
thinc/tests/mypy/modules/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/mypy/modules/fail_no_plugin.py,sha256=dNNPHP_PTM9HbNmD42y3SuiMxzpGOKESS9fHnwEqBHI,172
thinc/tests/mypy/modules/fail_plugin.py,sha256=j99SG5G46nMthqj3p6uvTe_UpPC0LHv3Fvh-JL7ZW3Y,585
thinc/tests/mypy/modules/success_no_plugin.py,sha256=agf2OSZG3V4iZ0gCnVVT1OHMoi8oPlTGZvYFyInHNwQ,441
thinc/tests/mypy/modules/success_plugin.py,sha256=afmjDkpb3CE2LiBYjA4sv-UQyfisX2JYKxfItVZU9Aw,865
thinc/tests/mypy/outputs/fail-no-plugin.txt,sha256=ijNJi9n06boRz1JXWQbB6tMrWBMJCM-w0dDun0HFY-A,114
thinc/tests/mypy/outputs/fail-plugin.txt,sha256=-581n8tGGcF8nUN9ZW1nP_tctCAtYvGW6tRwPZQapUg,2436
thinc/tests/mypy/outputs/success-no-plugin.txt,sha256=pE5yaCqRtDWKnYBDhfcYN-ABu9SSZ5XKOYnWkWAW5gw,583
thinc/tests/mypy/outputs/success-plugin.txt,sha256=iVsCm2YJXQpbfViKLN2CMu8gi50cE6QPuYXC8woymJg,499
thinc/tests/regression/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/regression/test_issue208.py,sha256=-fX-v3nRlnJrQhh8YDL3J_LNAoeJGu8igUrzRtpTVzk,338
thinc-8.0.0rc2.dist-info/LICENSE,sha256=yRgWFaN6OZ2fO7xD0j2omgY55O0zB7NLgFmHWt6qFjU,1144
thinc-8.0.0rc2.dist-info/METADATA,sha256=7n9gqA2wUuUawwTQji7BmQFu4wMRenMQ9NI7nHb2I5I,13668
thinc-8.0.0rc2.dist-info/WHEEL,sha256=9MdUI0OzwjYaHl3jWlKFDIJ5MFBPjwppNgWNtexntqg,105
thinc-8.0.0rc2.dist-info/top_level.txt,sha256=u3-NetjMbYinrdypKSLTjWYAhRmoOzTqbb_xXWaxW8Q,6
thinc-8.0.0rc2.dist-info/RECORD,,
