thinc/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/__init__.py,sha256=8af-2-KzYE6LyvnV3fuYB2J20KVDq7q4lhjEkDczKzU,142
thinc/about.py,sha256=aYSFFK7kWMnRixc0uVfVThgdrh_QfFjfFLzOleNiEHQ,42
thinc/api.py,sha256=RI5EuleKAF8R4R5kdMexpoDcJK1HHylIFqHVqYyi9s8,2699
thinc/config.py,sha256=UokuVwvgWL83GRdrfCvXOWpPWGqQrXvpI9LVwrUWVLE,46995
thinc/initializers.py,sha256=BKgz8khWbGYO-VjHt90kmzF3z6BQkhVmmcMdVuHzwx4,3831
thinc/loss.py,sha256=D0hforB91h4afHvuUrgjJyMG8ygGli8DxPVxkbmnUKo,16129
thinc/model.py,sha256=QsW_e1eRVKoh5qf-xocue7iZKUmickogltk8FnMQTWU,34084
thinc/mypy.py,sha256=AK0YltRvnnSdPpgG_fWDnXk1Jmfm6ZD7C-LNX1CdKBI,11366
thinc/optimizers.py,sha256=XN1hcc1gw1Siwy2enI2kAvDG02r2yUNYq6miuuSlVVQ,11889
thinc/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/schedules.py,sha256=LZx4IhJdxc5cHvMNCeW5ydxW_FqcFZ961eFlQjuCT_E,3715
thinc/types.py,sha256=LPHtizJovg5YHBkszO8cIzLDXg5pwr6pIkAiU8xpbqk,40965
thinc/util.py,sha256=VsEtpRmim_WwopvSnt3Lu_Si4QQ5Mg20RA06uuQQCYQ,18586
thinc/backends/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/backends/__init__.py,sha256=lTxqr9KA1Qr26iGfZ7MLTxCIBegVqssjFgze9oFeJQ4,5365
thinc/backends/_cupy_allocators.py,sha256=KFswhcdidjRPlvrgBc53u7NblW1BTtSP1okd52N2tDo,2230
thinc/backends/_custom_kernels.cu,sha256=vUt3hYVigFajJL6t-gfx1Qog9uT-DQGR6XPSLm7JVRI,16562
thinc/backends/_custom_kernels.py,sha256=9eOP0ziXCtRBHrfieba6zgbQ5f93ej7iIAC8zlR4sOM,10076
thinc/backends/_murmur3.cu,sha256=L8Q_zNhfiwmEMC2SscJdAAx0JRYJrUvn19RZUSzmeVA,5210
thinc/backends/_param_server.py,sha256=SlPoKlIyyWrGpPO0I4swdkswr7NJWvDRee8VbXCovTc,2741
thinc/backends/cupy_ops.py,sha256=V6BPDZCXOSipojSLHYQu0mmfHriiGKyFQnfdcZmCtpE,9488
thinc/backends/linalg.cpython-37m-darwin.so,sha256=Ewo10xo3b7GcXV8Yi0hhgL6BjTFeqlJj9Utv4jbAKZA,69120
thinc/backends/linalg.pxd,sha256=vUNow-t5sr1CBfU8XX445dxVKuKIbpzVb1Cr7QFg4aQ,8367
thinc/backends/linalg.pyx,sha256=l6rGXeKGnNTNkSIpNhvVYk_l0UTrILyIhuhVpll599M,53
thinc/backends/numpy_ops.cpython-37m-darwin.so,sha256=rcncfRNo2WnYaiCcoeYT55KkvGunV1osib_EDqHlz3A,662032
thinc/backends/numpy_ops.pxd,sha256=5jsp-3cI7-mNabqXBHyurYKql2M-lUvJnE5S_CRscig,1046
thinc/backends/numpy_ops.pyx,sha256=WHTh7bnZz5QabH-dcE-RmTJ5c-WqKX8ERQ2RFhSQFxI,41087
thinc/backends/ops.py,sha256=0nhNwJqeW7shM9W9qCQT7P_QLHzFdrDrlKFvA7PK9fA,51008
thinc/extra/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/search.cpython-37m-darwin.so,sha256=9RAt4OISWSM2uUU2J_zGF7BMZ3JFg-XT7QNy6gUu_5I,186224
thinc/extra/search.pxd,sha256=3q2MeKeBYA2PvbxXP54JxWHN5SmjuRZXP6zElcdKgEg,2677
thinc/extra/search.pyx,sha256=fxcnbACAwg00X-gH-mTRnxGd3ijoTfajg1xKc5czsQQ,12243
thinc/extra/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/tests/c_test_search.pyx,sha256=vyE3XmUOUy8ADa2dp2CN7BeK8iIdmryWJ3DHzwrp-Ws,2382
thinc/layers/__init__.py,sha256=IiQOL3b4UNfeAAFsL3il_iFnBHLYA38zGQZF_OLNkiI,3463
thinc/layers/add.py,sha256=NjkFjYn5KDPFBSXl11wXmhxu2Spak87RwbI46EWDkcc,2246
thinc/layers/array_getitem.py,sha256=WJMgduXWM15jttZiP_sPMOpG5get6o-DOaUbeLLXW4Q,1530
thinc/layers/bidirectional.py,sha256=_py9K5mwR52UHGxB49AcMDsqly9A30tFMxI0Ii5rezM,2192
thinc/layers/cauchysimilarity.py,sha256=5raw7xY1DPbvl6Wrrzvouv34s8ZV30n996_AKcz0dco,1758
thinc/layers/chain.py,sha256=Txtm81uywp4_TpXe_tWevYTbgcP63hfVqPcGgpN52RM,3244
thinc/layers/clipped_linear.py,sha256=AQ1kbhQ4FsjSHY7BZAvSKSAC_m-ItD9KopuVhZ4DKpo,4007
thinc/layers/clone.py,sha256=Rz_RI-uiHA8JY4GKE4cXi3WlydK9IIiq4MGGz9pG3Uo,649
thinc/layers/concatenate.py,sha256=o-pSj116oPMufZZz7kUXAJmdqyMOWRVOH1ZdokHNCAg,4951
thinc/layers/dropout.py,sha256=ClGdMKWfOCGSX7RK4ANOOYS-5h_R2TzdheYBVCFl87c,2902
thinc/layers/embed.py,sha256=Tx2hIpoyNfTWUuYQM-cUktXvewkWcHm3xmCIeuhkFFo,2598
thinc/layers/expand_window.py,sha256=p8WhiIi1_YtqFpGuw32APV5hZfXGV5OA9WAHMcOFWEg,1657
thinc/layers/gelu.py,sha256=BvESAcf7VS7qxHH45DIdh_vKGTYCAHv_mxQWymuuRQY,2016
thinc/layers/hard_swish.py,sha256=j4z4nlbOswH74nd8XkbtUaeIDwj9yp8JL7QQB_uGm2s,2043
thinc/layers/hard_swish_mobilenet.py,sha256=QZ0C0MX5vZn-0IvXz-TF9HDVo_ph4GqSzjVEqGAhc-w,2196
thinc/layers/hashembed.py,sha256=LsNJb1x1-CM4rRRzgf6H-ZpzBPfEuGpXlLHyQg3bdPY,3529
thinc/layers/layernorm.py,sha256=iW6sTyWibREvG2AiGsLPaNTGQb84WvZ5zmOjV6G0Hno,2534
thinc/layers/linear.py,sha256=qUsbg1iQCUZVwyAlw8bGExWkKwG0bhdMc59MUZ9EwAs,1611
thinc/layers/list2array.py,sha256=4ratMRxIMR8_kNNb8maKGT3qyuTPySsRsFEwe-4CWh4,819
thinc/layers/list2padded.py,sha256=yAbTYX42YbJPzcWfHC97o5Up26-IyioYFul0AzK9bRg,607
thinc/layers/list2ragged.py,sha256=siYjEzpqqLEIp-x3ums6ICx4ejbIAz2syfQ3Z-ztsKE,831
thinc/layers/logistic.py,sha256=s960HrBA2nTWiiVJ_9FS_biGAUQj0UT_vCGAp7i6h6A,610
thinc/layers/lstm.py,sha256=57migXca-gZmFhQ1ZJ6yif1Xwg8eCsQpQa-ZE26afd8,6289
thinc/layers/map_list.py,sha256=YwM5mwMS3iXeB53STkMO91TGCPfFC0lhKunldjoK1W0,1027
thinc/layers/maxout.py,sha256=sQ90mCY2nD2BdO2hqFBUx8B4LnfzfiXiOvK2yr2tPHg,2470
thinc/layers/mish.py,sha256=Xlk0Fv_llxGtaI8rzW4H4KSK8j-859jqm-JTnvBqYu4,2160
thinc/layers/multisoftmax.py,sha256=WiAau7pWAeMIk2c-tLypEqc5ZekVQgtpLxIzqW9LoMk,1769
thinc/layers/mxnetwrapper.py,sha256=mIwxNQoc0XA0cZXgLauGN1CEnstYBmkH5MPbBbPRK8I,4299
thinc/layers/noop.py,sha256=6Huq_UaOArsztOwcin0EN74Qjr2GO-X9TH-6pB9lnEI,512
thinc/layers/padded2list.py,sha256=rjjMguhdV-B1vc_0bsUJCXoRBAFEcHpqDoSWRcxk8NE,666
thinc/layers/parametricattention.py,sha256=Xk0sfAhz5P5qBHMOW03TLQ5Fg7DQu8R6EqNHfmQv3-E,2105
thinc/layers/pytorchwrapper.py,sha256=Z-XphH8T2cpKA-HvkozXfqlU2UtkXiVRrnUrw8EqZqk,8229
thinc/layers/ragged2list.py,sha256=ofX-TwFyihbHHLvGD2GRujg_NLS2boOfwT95OIvjpgA,662
thinc/layers/reduce_first.py,sha256=u5-8zq2LSk3Lp45nkmHJWsjBsOZYSw8s6ROOKsuA30U,1008
thinc/layers/reduce_last.py,sha256=A4FiBxXy0kS249aQKc8mh1hKi_9PlsDH7jQBwA7UeZY,917
thinc/layers/reduce_max.py,sha256=_h5x7mi5R4MzcePgjyNesyUUG-Sy19PQ6WmtkOCMNzg,721
thinc/layers/reduce_mean.py,sha256=iYtzdDzQO2vpgR_nxdBk4PqZMofWa4woH00HdfPldD0,713
thinc/layers/reduce_sum.py,sha256=CwrvXZgsl8TWeQEP6JXQISMt1xJ_KMFpkJLMc4u5r1Y,707
thinc/layers/relu.py,sha256=aYZWsYKySoiKvDiT_P4KgMBZJUlDkll5JrnkPoAH0Cg,1948
thinc/layers/remap_ids.py,sha256=16yYTPe8GQijodE1VOCdWJUUCe1Z2_dNWywE9rCCtw8,1200
thinc/layers/residual.py,sha256=H5AN1phXFGXpamegXzTkHfGVtq_u5006XRPU9bO6etM,2041
thinc/layers/resizable.py,sha256=ulYoDbA2TMUjNcpr8kBznlj2De5DskgCsNnyQmsRVS4,2653
thinc/layers/siamese.py,sha256=xdqnqyEnWItoyz8wtIBHy7SOG-sQZ5N-FDdRLtjVxHo,1592
thinc/layers/sigmoid.py,sha256=yU3ofEiDTzTBfEX6gWMcR9o3bymSAHetZVXJLwU0CSU,1835
thinc/layers/sigmoid_activation.py,sha256=pvJ8TO-Ks1yDXQmyYsIW0XAMF4_k_3cojoGRg00-BlI,574
thinc/layers/softmax.py,sha256=dXcmk0RauZsP2_kWhqVZm4V_SvEjUqZ76kV1RaL6j-w,3018
thinc/layers/softmax_activation.py,sha256=RWWDZnYilPjp9jGn1XITzHBOGeII758UA5XmnD_Ssl0,543
thinc/layers/sparselinear.cpython-37m-darwin.so,sha256=XTv5WMGkv3MBKWCSPmAcrVNvMmmAusCCkoxfDc0C1jg,277864
thinc/layers/sparselinear.pyx,sha256=YHNeNKjlDoSA3FEAzPwk1V7r24d_BgEh5CLOC9Q8D3g,6441
thinc/layers/strings2arrays.py,sha256=oH0K9Q6WVomxnboJyZpcVaHY6_pRdfz83elGKDEXbUA,805
thinc/layers/swish.py,sha256=U5y-4eCbospQu_svY0GxMoPsP7PLhhG9QHZFQictjvk,2024
thinc/layers/tensorflowwrapper.py,sha256=K6zTp77r_rTjrq0IVRIF4YwRRzEy7KtSQO8JthMC0ic,6561
thinc/layers/tuplify.py,sha256=gmJSeP7Yt-Zep3s2iwP_FZxnOKyN63c74Jqo_Vp8IwU,2045
thinc/layers/uniqued.py,sha256=zet3IiiOqM60VEuQqo7cI5pXHj5BAp2BZtND3vPBjj4,2061
thinc/layers/with_array.py,sha256=8LM_9DXpTy2RIs2uj1KdaC5lzQ9DxPeDIwBE6Y3VseQ,3543
thinc/layers/with_array2d.py,sha256=qKUJ9uWRFDvF173L0KzXGnTyb2sQQVjAtxJhotDSAhM,4157
thinc/layers/with_cpu.py,sha256=ZKPaVVW-CkEIeDuwJDJGSiCC3EZlB_JQxfR1Tv0QkmI,1426
thinc/layers/with_debug.py,sha256=nGrlAPGGV1grUxhS9U89rouxyWtW84kSYLhMAgtkBpM,1333
thinc/layers/with_flatten.py,sha256=7yj2-SYGRfid9Kk5KAtS0IjoRQAJmfpVVufRrKh6rVw,1504
thinc/layers/with_getitem.py,sha256=_cVaPF61yWTkYgA0IAtr2Xlx9Ipe0q7xunSHjlw3Olc,1168
thinc/layers/with_list.py,sha256=NTgVDiYXGA3o4bYv5qQKMG6Eym-HxWzPD9uBno4HUYE,2818
thinc/layers/with_nvtx_range.py,sha256=mWXyeroqkwY2-Ry4_ErxJKku4NXmZQ9XXFosg5Orhko,1293
thinc/layers/with_padded.py,sha256=xdCahJriKioquAeo85S7X5mDyZNROzAmO9IosAJkXSc,4384
thinc/layers/with_ragged.py,sha256=2uVMuHHIJ0lIe0c3_uNYz-daLy4ECTZtZWjz3TinzpU,3666
thinc/layers/with_reshape.py,sha256=f1niIDoUv58wLPwDSU2EdyZ3q_IKlydqcIAMkQ3I-9c,1803
thinc/shims/__init__.py,sha256=mY8dXJD0i9diNuzd_jXJhjvgUb6XtFuLi_ar4ZXPh0o,215
thinc/shims/mxnet.py,sha256=xlUnpgszmtZWkj1b49JFEX3OjCzILG6HcDgL7MRpy6Y,4389
thinc/shims/pytorch.py,sha256=o5pcRcgVvKBwJKGgT4BtIOX6uZ5zj3jZcy-8dyPngRA,7148
thinc/shims/pytorch_grad_scaler.py,sha256=BC8qNc3ByR083E0KShLYWFqRYl4gN4QujOE9jhzkw3g,6089
thinc/shims/shim.py,sha256=eX7lqbCIYoHAuQOyIu0O_SXjXvClUQcFkqi-86waegg,2477
thinc/shims/tensorflow.py,sha256=V4u0r-3OsWA1jA8PJXGA53KBMlftqhwLLDpQZ-BQCiE,10723
thinc/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/conftest.py,sha256=GQHazs4peWbm3_LRRGn7k5qD7ZA0kTQvvT40uzFrRLE,1149
thinc/tests/strategies.py,sha256=O_VQmyQQHsBrRTCEnWkQYOnzbv9B1wygkKel0jlDUJ0,3586
thinc/tests/test_config.py,sha256=aXQCxryx9314xjl0w8cTyKZlxTPV6sY8aJMa1yAM2Lc,54632
thinc/tests/test_examples.py,sha256=O5hnAf4WzgAhepLt62ccr6WqU78C3zGeRIILCUnjr2E,1749
thinc/tests/test_indexing.py,sha256=kilq_ShxX6A-qn8qw1Z5artQ4jumayODqHup5Q0fa08,1895
thinc/tests/test_initializers.py,sha256=nrFeyH9plS2xGUkvhC7claC1jYkdRVlL2pQOthuLwWI,983
thinc/tests/test_loss.py,sha256=oaPN16ayV0ugbIZIlwwUdQn5CLQBDEVhiHrVL9jL1lw,11960
thinc/tests/test_optimizers.py,sha256=7YxjhU_KkPc8tXZ493QzaZoV2Sotg0Kq_6s11ls78fs,3047
thinc/tests/test_schedules.py,sha256=9Tv5JE_w6b_rVBwtDAI1rZxMgKpG9aeOPVrGEx6_vrk,1691
thinc/tests/test_serialize.py,sha256=WMUviINaMf0jwht1FT26r3Otd6F9yzHKWnk76lbJIv8,6774
thinc/tests/test_types.py,sha256=QVnKz7HK4N-kvU8uMxqjSvxPWIopjPJMA9McFU2PGOk,1306
thinc/tests/test_util.py,sha256=dCSy8IX64om0dKGXcpUav3gkX5eFzjlROQdk91RcpQs,4747
thinc/tests/util.py,sha256=IDW57gHzHlfCoq2EqCu_DJC-YyYAwoeaesP-Jzkqiyo,3598
thinc/tests/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/backends/test_mem.py,sha256=azSzlkECmgWffbYemZEd37MD4rvAZOH9gDKJt8U05NM,358
thinc/tests/backends/test_ops.py,sha256=Wq10AgT6OYoeLi8OyO3RbYr7gwG8arLn9jN-2myrf4Y,36547
thinc/tests/extra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/extra/test_beam_search.py,sha256=l_qRSTmO9ui1J4jTkJ6kcBglsAenwCFwcnnfMhXmSE0,88
thinc/tests/layers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/layers/test_basic_tagger.py,sha256=Tspa6uY7EI7IM95fK55dSNtW_ncT112adfGM492BgU0,2415
thinc/tests/layers/test_combinators.py,sha256=y-kMauToKDdppvYr6KJae6HixCRMVmokmJe8ARO7peE,7829
thinc/tests/layers/test_feed_forward.py,sha256=6ADSgRP_iqflarp3RRJoyhPo8bFZPcUi0f2B9-sLppA,5439
thinc/tests/layers/test_hash_embed.py,sha256=iHL39PTbv47ORcpHyoY1Wxo5-52tsosTJczigPwC3r8,532
thinc/tests/layers/test_layers_api.py,sha256=u0J-ysqcrDVZqjqg5AWHSJvOxoDHlO1hsZ7sl6e-ljQ,9263
thinc/tests/layers/test_linear.py,sha256=Xl76FAo48qpv3kTHjH1aPdbHBx4rPaq9XpxZ7l6wpYw,7316
thinc/tests/layers/test_lstm.py,sha256=7qTVsNPZXayXz4lPR8UWiQwaST5xJ7IeAZ8DL2qc16M,5667
thinc/tests/layers/test_mnist.py,sha256=ufu-bc-mgF_7IIKCpbVoCI4HqEV-NAorNSFKtO87ANU,3453
thinc/tests/layers/test_mxnet_wrapper.py,sha256=PZGV3P0NF_RzV2BQF4rULTriFRGF2JLYLO-G2oZWURA,6185
thinc/tests/layers/test_pytorch_wrapper.py,sha256=EVCp626Bz12kpuZZVRFTwj2jvXlmwfm_IaeMm7Uui-U,5543
thinc/tests/layers/test_reduce.py,sha256=RS3Pl6yyerGfj0I09OQPvcJk3-A_PxEzK2FKvL3JeUk,3692
thinc/tests/layers/test_shim.py,sha256=5Z5HigU335MXbsu6n1c8-tpfwO1wB71Lyyk892GQ2_E,943
thinc/tests/layers/test_softmax.py,sha256=1wABsitWvoKeZGQgmS7v1BLtUgJ4mAH9DaCSNYTOAPU,2849
thinc/tests/layers/test_sparse_linear.py,sha256=HfwcilobxE0c9wSzEqtWbo7VT_9cGDCsBPOStHtUTPQ,1165
thinc/tests/layers/test_tensorflow_wrapper.py,sha256=2QP7VTafQXyIFqMzzvU7lz9zVv1LicRSIK_WVRBvXQw,13215
thinc/tests/layers/test_transforms.py,sha256=XtbaY5B8bsKE5J2IKZQYFX4A8XbE2dQwGe0wA5vuLWM,1975
thinc/tests/layers/test_uniqued.py,sha256=OVT5OoMHXLWuzs0pXzYsHQgJqVvW4kUVBNvl1QrNXuw,2216
thinc/tests/layers/test_with_debug.py,sha256=ssMgztWvXXSg9vT98wFFh4d8FloaA6kkZC_LQNta8Aw,801
thinc/tests/layers/test_with_transforms.py,sha256=o7jnI0iR5cU-Td-c6cSLlLPP-vxgZYxj8SBDv5TiDW0,10167
thinc/tests/model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/model/test_model.py,sha256=pfFEj30yDOrs0npbT8NCvBV1lOF_g1VXetcItggryAQ,18743
thinc/tests/model/test_validation.py,sha256=GgZdKbgH6MMdg1LjEQmRGd-MSRToM_T3ATcoPyK-wIA,1369
thinc/tests/mypy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/mypy/test_mypy.py,sha256=xY_3fsg7jAcI6ZyIHEZatooKYUTfK6nstcrxsyDJ4cA,2905
thinc/tests/mypy/configs/mypy-default.ini,sha256=hbfM6gtbzlx9DVAILCq6D_B-VfaxFKM16gyIC4qn8E4,195
thinc/tests/mypy/configs/mypy-plugin.ini,sha256=Dm_zKXZlKB7atan06TjeCyVk0XhRNdq-ke_PDlwfaCE,217
thinc/tests/mypy/modules/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/mypy/modules/fail_no_plugin.py,sha256=CCYZwBy1pm1GqQkLbdNRnju791R7zApXbNRal72kilI,167
thinc/tests/mypy/modules/fail_plugin.py,sha256=84t0kXLDQ98YSSmlfkJJR5HpmOUuyx525dF8q9jEHZM,565
thinc/tests/mypy/modules/success_no_plugin.py,sha256=x5boFgySvPy5Y01f6TWHKaBl9BfMLtSMogO7uYQuiFA,428
thinc/tests/mypy/modules/success_plugin.py,sha256=U-s8o2RT64XJPDSSu8hKg9rw1KNfPeP3l816xFOmAZU,831
thinc/tests/mypy/outputs/fail-no-plugin.txt,sha256=pMWf38PzcbGQIYRe-Pu-0go-4Fvp1s289rG1vEX6TDk,113
thinc/tests/mypy/outputs/fail-plugin.txt,sha256=fM6CWYhxV60Ooa56kt8zc36P45xXYLpghPHl7BTX_0s,2416
thinc/tests/mypy/outputs/success-no-plugin.txt,sha256=QIRcf4Yhi4CObLH5jmoAtE5sf9sJD6VUbjLYf8jXI1o,576
thinc/tests/mypy/outputs/success-plugin.txt,sha256=6EUBv6Kfztt2rw_s_u98gRr4nWGNaGjTPK9POs7WVgg,494
thinc/tests/regression/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/regression/test_issue208.py,sha256=jY8nFz8lreCznM4ipqb6-c8kK0fXm0qj8gnaEkvqQpw,328
thinc/tests/regression/test_issue564.py,sha256=kCVdbip7rSrNweKkIlc4JH-8dYRjuppNh0l4SFX_7_4,508
thinc/tests/regression/issue519/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/regression/issue519/program.py,sha256=_h9PO9ejUhtC_BE3ykwt3zLvaWZ9D55-w0lLmQFOssk,442
thinc/tests/regression/issue519/test_issue519.py,sha256=jQ75lY0J2pT2njdF7bSBWrHd4w2oFP3IRIXzIoDNW6Y,768
thinc/tests/shims/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/tests/shims/test_pytorch_grad_scaler.py,sha256=6_S3ofLWJhwwOnjG30Jfnbt2-UEAdeVHxfwHESawn84,3520
thinc-8.0.16.dist-info/LICENSE,sha256=1xkkWfM6XYxmNY4hFcy9MmVHh1DwudFfDCLmjjzmzB4,1123
thinc-8.0.16.dist-info/METADATA,sha256=rwMdJNVeqhu3TRSQHi1TO4eaGX1ECNjPxPYpbEX_LXM,14809
thinc-8.0.16.dist-info/WHEEL,sha256=t-yJnV7ncEuoOkGIUUhH14bb9iMbJ4DANdZCkJ-k_2s,110
thinc-8.0.16.dist-info/top_level.txt,sha256=u3-NetjMbYinrdypKSLTjWYAhRmoOzTqbb_xXWaxW8Q,6
thinc-8.0.16.dist-info/RECORD,,
