thinc/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/__init__.py,sha256=8af-2-KzYE6LyvnV3fuYB2J20KVDq7q4lhjEkDczKzU,142
thinc/about.py,sha256=EKSHJKGTdlzJYUNXDQ25-_kpKJPUlEO2iD1kegRPBdg,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=UFWqzBaB71NMuGYhMkGJ94mTOQiJmRGAfbFzCrnsths,34080
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=8QwT3dVtIJbJXp1ubPVHRp9WJjzEugnTVNw27Ztc_Q8,18153
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=SETj2icOIZVRM2BNyTyeLCofZ8zjJhZvjA4nwLR3-lE,9098
thinc/backends/linalg.cpython-36m-darwin.so,sha256=0yhwlB8b74M9Q9oRnwN2opsiIQqlFzMuEnJBceni_gA,69304
thinc/backends/linalg.pxd,sha256=vUNow-t5sr1CBfU8XX445dxVKuKIbpzVb1Cr7QFg4aQ,8367
thinc/backends/linalg.pyx,sha256=l6rGXeKGnNTNkSIpNhvVYk_l0UTrILyIhuhVpll599M,53
thinc/backends/numpy_ops.cpython-36m-darwin.so,sha256=MWa_hACEEsRSaaxeMPH9u-VgXLsZVSNK_zzIGfqsMgQ,657048
thinc/backends/numpy_ops.pxd,sha256=5jsp-3cI7-mNabqXBHyurYKql2M-lUvJnE5S_CRscig,1046
thinc/backends/numpy_ops.pyx,sha256=tAq8XNmwOOHqZSkJ_5I44HEZPt8s_2ZfCRcuGhhpA2E,40781
thinc/backends/ops.py,sha256=tSCfPMtNuSPR8M2K64D3BpZRvHTsgmm-7zvpCIND7U0,50092
thinc/extra/__init__.pxd,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
thinc/extra/search.cpython-36m-darwin.so,sha256=KAWR1UmeYkjcBVcNztIy7ZSv7r2IZiqyMii9uDxTwG8,185952
thinc/extra/search.pxd,sha256=3q2MeKeBYA2PvbxXP54JxWHN5SmjuRZXP6zElcdKgEg,2677
thinc/extra/search.pyx,sha256=rxOY37iX6oim7brSkXPxfapNiqd4uioz6swrbR-dqRo,12212
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=rHqIQQiXcogiIMnfbHr9YdZaY8EB0eRE-eZn5I3drZY,2275
thinc/layers/array_getitem.py,sha256=WJMgduXWM15jttZiP_sPMOpG5get6o-DOaUbeLLXW4Q,1530
thinc/layers/bidirectional.py,sha256=PUWxoLec-X8icOy8z6aIgmycZ_Hjs_qvHp3X-N9EN_g,2221
thinc/layers/cauchysimilarity.py,sha256=tc15Ishb39EPAZ9sCZE7MDtM0O_9Po-v7sE4NWk0rWc,1787
thinc/layers/chain.py,sha256=cNjNw2_jTgxBi-zZR121H1v4bxJATAV-8c5zVkgdXjE,3294
thinc/layers/clipped_linear.py,sha256=sHuolKVHOsEF7FJnQIVpAe-iNpSRYr_yhYNueCxfNJk,4045
thinc/layers/clone.py,sha256=Rz_RI-uiHA8JY4GKE4cXi3WlydK9IIiq4MGGz9pG3Uo,649
thinc/layers/concatenate.py,sha256=acne3MdOwDD1CFWRlaL5ABybbhcCpunB1LIY7lxaVkw,4980
thinc/layers/dropout.py,sha256=ClGdMKWfOCGSX7RK4ANOOYS-5h_R2TzdheYBVCFl87c,2902
thinc/layers/embed.py,sha256=_r87iGTj_JqUikb9xHT__ht706ncRO2GDSkgK2DGGhc,2627
thinc/layers/expand_window.py,sha256=p8WhiIi1_YtqFpGuw32APV5hZfXGV5OA9WAHMcOFWEg,1657
thinc/layers/gelu.py,sha256=SvIrfCp0a73-COnVZ8fI4pMY7cH4LsDhR00bD_kTJsc,2054
thinc/layers/hard_swish.py,sha256=HKA2Rxr3g63zO4IRrYJkr6pYF8WV4YtXLIMwgO7opjs,2081
thinc/layers/hard_swish_mobilenet.py,sha256=xxKUeDmsqMhs-Svrc43No3AUbxIMhH0hQTboV3GwBbA,2234
thinc/layers/hashembed.py,sha256=23PxuUZdCDooLNCDd98Eupbozvei6li-nfm1bWPWwI0,3558
thinc/layers/layernorm.py,sha256=REzgNtMtV6N866pJHwZdbMpBulC7oXezBPv6WjdfcK0,2562
thinc/layers/linear.py,sha256=ZWCRFeXYw2dbiJhFR84a1chdMTC4PepmRxJIXaOJK3k,1640
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=bXUCARhp-EV09yHwbVfOL4eTysWNHoFxcVNSBBEbPgI,1019
thinc/layers/maxout.py,sha256=4Hx6eZfLFv3AKMRc3lCkWStz7YslsvC85a9IdYyN63U,2499
thinc/layers/mish.py,sha256=23EDc3qnYndjSfVW2YTgHK6HP4RWSvh0viIJyffhffM,2189
thinc/layers/multisoftmax.py,sha256=EdUJGniiKb9cN0-lKYXTcsIp9sbENmY_7rOnKjGPFk0,1798
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=StuZGeP7gSXn94qH9q8lFlfgkIkYRIm2GZuu7JRsb_w,2114
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=N4RfUxt_rvHVTHiXoqsAhVy3TYOA1PYSUNCbtnXejW0,1977
thinc/layers/remap_ids.py,sha256=16yYTPe8GQijodE1VOCdWJUUCe1Z2_dNWywE9rCCtw8,1200
thinc/layers/residual.py,sha256=4d0KvASnGzvfoJVorYoQ2cMRLMHemsdvZEFLJLw5p5o,2069
thinc/layers/resizable.py,sha256=krABAhH7dJTGCMeWbblXtDj_DTP3FuKTtZvo5Qt7ZnU,2682
thinc/layers/siamese.py,sha256=TmfqrRz5nMU6uisa_1lmiZ58ScyMMQAuJf0M-s_ZWjA,1621
thinc/layers/sigmoid.py,sha256=al0EVqYZQjAI8dJINDq_9KVdoHqcnFBN9pWQEQfswOs,1857
thinc/layers/sigmoid_activation.py,sha256=pvJ8TO-Ks1yDXQmyYsIW0XAMF4_k_3cojoGRg00-BlI,574
thinc/layers/softmax.py,sha256=ulQnkeZ18ijDaj57650v3jHI0693qkRVzJ72DxiynXc,3047
thinc/layers/softmax_activation.py,sha256=RWWDZnYilPjp9jGn1XITzHBOGeII758UA5XmnD_Ssl0,543
thinc/layers/sparselinear.cpython-36m-darwin.so,sha256=SLuHetqYaNyuFV5S3AeuQWM-XERjxa2TMxmmKdhYjzQ,277720
thinc/layers/sparselinear.pyx,sha256=YHNeNKjlDoSA3FEAzPwk1V7r24d_BgEh5CLOC9Q8D3g,6441
thinc/layers/strings2arrays.py,sha256=oH0K9Q6WVomxnboJyZpcVaHY6_pRdfz83elGKDEXbUA,805
thinc/layers/swish.py,sha256=cJP8pMoM1wp9ey4OnEuW2K72dUjBEBvBatsNERMPNPc,2062
thinc/layers/tensorflowwrapper.py,sha256=K6zTp77r_rTjrq0IVRIF4YwRRzEy7KtSQO8JthMC0ic,6561
thinc/layers/tuplify.py,sha256=pQ7Fxyo-hG_KVXvBJrECavE1650ZkhV88BH38RYgQPY,2095
thinc/layers/uniqued.py,sha256=oO8cpVqyK75cWrfJd95Dy_YiZOXWH43Fl9WBczJKkkU,2090
thinc/layers/with_array.py,sha256=49ZlBedE479pEGgdJHzM-ywe7U1UJPE851QaQafr6Ig,3573
thinc/layers/with_array2d.py,sha256=3me9rXnQ3343uHEdg2UU14KP_N0VYPPyrnDRZACf85I,4187
thinc/layers/with_cpu.py,sha256=xg5wQxRU9EJz9ymxYNL1K2ruOiX6dS1qQ1yVnLc9g8c,1434
thinc/layers/with_debug.py,sha256=lbIqYNzvlRCPNBifuXWkuRdmS2JNFUkWitDE_pDpAkI,1380
thinc/layers/with_flatten.py,sha256=NHQC2mM7wD4LB6vNjlWNrwHW0m287502KPPm3ET45mY,1496
thinc/layers/with_getitem.py,sha256=M3eVJpq97zrLgctE_btC31pIeFuE4DrRMDSSxG_mGe8,1197
thinc/layers/with_list.py,sha256=gVi7VgvRnhGQrjEry6MELC1jG4dae4bGPJbA8cTpZA0,2848
thinc/layers/with_nvtx_range.py,sha256=mWXyeroqkwY2-Ry4_ErxJKku4NXmZQ9XXFosg5Orhko,1293
thinc/layers/with_padded.py,sha256=2OB8_0j0KTlvmNdsyzS3_C3HL_EVE16ugaw-a07k5i8,4414
thinc/layers/with_ragged.py,sha256=L2yRr4pkzLMZBI5ESa1J1IP5Xp23ovS-irc-I3Ktkdk,3695
thinc/layers/with_reshape.py,sha256=ITSkk12gGyW6XM-FmrvAo7k_3p7EfFOmzDUbIJE-_bw,1852
thinc/shims/__init__.py,sha256=mY8dXJD0i9diNuzd_jXJhjvgUb6XtFuLi_ar4ZXPh0o,215
thinc/shims/mxnet.py,sha256=xlUnpgszmtZWkj1b49JFEX3OjCzILG6HcDgL7MRpy6Y,4389
thinc/shims/pytorch.py,sha256=THlyDcxV91L8tYkZ_75k9dt5u-L1mCPHI-PtgA-WmVw,7342
thinc/shims/pytorch_grad_scaler.py,sha256=2uBzbrWlicWIzG4uj2XhsUr51T_-dkpIHZdvtARwx-I,5882
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=0bkvERMqT2DlMxdYeZ_JJuVxmarXSUjdKjRadnYOZNI,3395
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=_OkDUZGrc2ps7Fwc_ir_eGmMcOOEfcAO_ZtPj5tUeN0,35274
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=plhbT_D3-Uwo5ZpLm-Au3_0tj6nE_P-7uW9sOQdi9FI,5948
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=37aiLfKUY42X-tqxUzpLdrKr6oSS6hrc4X-BAhU_aKE,12461
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/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=_eQzMcqlZQwBHCzstFWP42nhZK4DXXiyfu-pCJ8WcV4,3011
thinc-8.0.15.dist-info/LICENSE,sha256=1xkkWfM6XYxmNY4hFcy9MmVHh1DwudFfDCLmjjzmzB4,1123
thinc-8.0.15.dist-info/METADATA,sha256=IYAm3VdIqd8SheiptKuxzT44xn6TwW7fY1lHl9A-fis,14815
thinc-8.0.15.dist-info/WHEEL,sha256=ye8A2lA8pjGNe7-ueOpggarJAhczq3EZGqnLZzzfQYQ,110
thinc-8.0.15.dist-info/top_level.txt,sha256=u3-NetjMbYinrdypKSLTjWYAhRmoOzTqbb_xXWaxW8Q,6
thinc-8.0.15.dist-info/RECORD,,
