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thinc

View on PyPI — Reverse Dependencies (47)

9.1.1	thinc-9.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	thinc-9.1.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	thinc-9.1.1-cp39-cp39-win_amd64.whl
	thinc-9.1.1-cp39-cp39-macosx_10_9_x86_64.whl
	thinc-9.1.1-cp39-cp39-musllinux_1_2_x86_64.whl
	thinc-9.1.1-cp39-cp39-musllinux_1_2_i686.whl
	thinc-9.1.1-cp39-cp39-macosx_11_0_arm64.whl
	thinc-9.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	thinc-9.1.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	thinc-9.1.1-cp312-cp312-win_amd64.whl
	thinc-9.1.1-cp312-cp312-macosx_10_9_x86_64.whl
	thinc-9.1.1-cp312-cp312-musllinux_1_2_x86_64.whl
	thinc-9.1.1-cp312-cp312-musllinux_1_2_i686.whl
	thinc-9.1.1-cp312-cp312-macosx_11_0_arm64.whl
	thinc-9.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	thinc-9.1.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	thinc-9.1.1-cp311-cp311-win_amd64.whl
	thinc-9.1.1-cp311-cp311-macosx_10_9_x86_64.whl
	thinc-9.1.1-cp311-cp311-musllinux_1_2_x86_64.whl
	thinc-9.1.1-cp311-cp311-musllinux_1_2_i686.whl
	thinc-9.1.1-cp311-cp311-macosx_11_0_arm64.whl
	thinc-9.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	thinc-9.1.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
	thinc-9.1.1-cp310-cp310-win_amd64.whl
	thinc-9.1.1-cp310-cp310-macosx_10_9_x86_64.whl
	thinc-9.1.1-cp310-cp310-musllinux_1_2_x86_64.whl
	thinc-9.1.1-cp310-cp310-musllinux_1_2_i686.whl
	thinc-9.1.1-cp310-cp310-macosx_11_0_arm64.whl

Wheel Details

Project:	thinc
Version:	9.1.1
Filename:	thinc-9.1.1-cp312-cp312-macosx_10_9_x86_64.whl
Download:	[link]
Size:	827895
MD5:	`10a613e949d28960d99d3cf9beedc7f2`
SHA256:	`f1f9844a881f5892a23e23f0a112be3a6b0feedd4ac928f96ce32c6784fcaeb8`
Uploaded:	2024-09-12 21:27:07 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version:	2.1
Name:	thinc
Version:	9.1.1
Summary:	A refreshing functional take on deep learning, compatible with your favorite libraries
Author:	Explosion
Author-Email:	contact[at]explosion.ai
Home-Page:	https://github.com/explosion/thinc
License:	MIT
Classifier:	Development Status :: 5 - Production/Stable
Classifier:	Environment :: Console
Classifier:	Intended Audience :: Developers
Classifier:	Intended Audience :: Science/Research
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: POSIX :: Linux
Classifier:	Operating System :: MacOS :: MacOS X
Classifier:	Operating System :: Microsoft :: Windows
Classifier:	Programming Language :: Cython
Classifier:	Programming Language :: Python :: 3
Classifier:	Programming Language :: Python :: 3.9
Classifier:	Programming Language :: Python :: 3.10
Classifier:	Programming Language :: Python :: 3.11
Classifier:	Programming Language :: Python :: 3.12
Classifier:	Topic :: Scientific/Engineering
Requires-Python:	>=3.9
Requires-Dist:	blis (<1.1.0,>=1.0.0)
Requires-Dist:	murmurhash (<1.1.0,>=1.0.2)
Requires-Dist:	cymem (<2.1.0,>=2.0.2)
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Requires-Dist:	catalogue (<2.1.0,>=2.0.4)
Requires-Dist:	confection (<1.0.0,>=0.0.1)
Requires-Dist:	setuptools
Requires-Dist:	numpy (<3.0.0,>=2.0.0)
Requires-Dist:	pydantic (!=1.8,!=1.8.1,<3.0.0,>=1.7.4)
Requires-Dist:	packaging (>=20.0)
Requires-Dist:	cupy (>=5.0.0b4); extra == "cuda"
Requires-Dist:	cupy-wheel (>=11.0.0); extra == "cuda-autodetect"
Requires-Dist:	cupy-cuda100 (>=5.0.0b4); extra == "cuda100"
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Requires-Dist:	cupy-cuda92 (>=5.0.0b4); extra == "cuda92"
Requires-Dist:	ml-datasets (<0.3.0,>=0.2.0); extra == "datasets"
Requires-Dist:	mxnet (<1.6.0,>=1.5.1); extra == "mxnet"
Requires-Dist:	tensorflow (<2.6.0,>=2.0.0); extra == "tensorflow"
Requires-Dist:	torch (>=1.6.0); extra == "torch"
Provides-Extra:	cuda
Provides-Extra:	cuda-autodetect
Provides-Extra:	cuda100
Provides-Extra:	cuda101
Provides-Extra:	cuda102
Provides-Extra:	cuda110
Provides-Extra:	cuda111
Provides-Extra:	cuda112
Provides-Extra:	cuda113
Provides-Extra:	cuda114
Provides-Extra:	cuda115
Provides-Extra:	cuda116
Provides-Extra:	cuda117
Provides-Extra:	cuda11x
Provides-Extra:	cuda12x
Provides-Extra:	cuda80
Provides-Extra:	cuda90
Provides-Extra:	cuda91
Provides-Extra:	cuda92
Provides-Extra:	datasets
Provides-Extra:	mxnet
Provides-Extra:	tensorflow
Provides-Extra:	torch
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 11460 characters]

WHEEL

Wheel-Version:	1.0
Generator:	setuptools (74.1.2)
Root-Is-Purelib:	false
Tag:	cp312-cp312-macosx_10_9_x86_64

RECORD

Path	Digest	Size
thinc/config.py	sha256=3RLoOTiEzQ9wDWnyNKw4lJwYywTbcIwEYtVVLBKXcBU	1281
thinc/compat.py	sha256=0LtYlivDUQd67BYyQjrPUpHLOyqwSZzVZRfpn3TeOrE	3271
thinc/util.py	sha256=7HIPldfM78wpNEgk-ZMo2zNrqd6vm6or5_tCe7JLkwc	21122
thinc/__init__.pxd	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
thinc/__init__.py	sha256=U9r70lgUr-PPJ3zCmuQ2mYMymaWzZx7K3EgKJ68XASE	213
thinc/mypy.py	sha256=YLw_XBCHV2jAUiFJos92Fzr4HpwJNIRCJN2-cLN5jVs	11467
thinc/types.py	sha256=Lerp-g0tyH84CIldu8xUxOj3D1Ai2DysJDeWfEXWG5w	47816
thinc/about.py	sha256=rDm3DAhWhuPQFhaDTCuBZAzmfQzx13TcGjPvTN4B6-Q	41
thinc/model.py	sha256=z9vr3JnWYznaEWLC0jWnN53r5Vkdc3gqK92zHLpY8ow	34919
thinc/optimizers.py	sha256=Olwoc_cmeKXnyWFnrMoXURKmxVuHyg3PZNe16On9ytM	14580
thinc/api.py	sha256=Y_Rb6M75MgRnWF2SU42qMPRZczX3vMztzf_BEoMhk6k	6008
thinc/loss.py	sha256=uIAbaVvl-7f3_XD39C4tLMWx9Uzc0EKvfCzrk1Jv71Y	16308
thinc/initializers.py	sha256=cc2WKL9yO1jJrrQXhINyyRmDWhz18kio2yBQkA6SIJ4	3834
thinc/py.typed	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
thinc/schedules.py	sha256=i8BUy1mujZtvxYi-WR0IV1rqv3Jfn9ZO7KqVAwgE89Q	11342
thinc/layers/remap_ids.py	sha256=vrqfiUE7-TknkARysGSXsEhJcMW1mpPB3jqUU34XjPY	3072
thinc/layers/with_debug.py	sha256=UEOwgpWYgxWT_zAvZvlYHHGpS3EhMb2vU8A0mpkZ6co	1333
thinc/layers/mxnetwrapper.py	sha256=D5heIgE6gJZu8wGiCNg6dVV0imwDO2vyFX9i5l0fUmE	4281
thinc/layers/siamese.py	sha256=NaWOabNF3nIsqQwegqufHyngr9MWKOkae4ls-XRUMhU	1614
thinc/layers/concatenate.py	sha256=qaBf25YnaQ5LS3Jvs3WdQMK_YRVfLxn6_1UgheGtMTY	5188
thinc/layers/reduce_sum.py	sha256=nTJiv0GhObzAoeQmql5EpiyEMWkzWGRRNyAPr6DfG0U	706
thinc/layers/softmax_activation.py	sha256=nQsjm8YvfZ2ktMfXTZrQFFkxW3ju-y0xqFaTrlDZrB0	542
thinc/layers/hashembed.py	sha256=KewQYVcJcq5sVBKA7TwIYWK88OsSmCTnFqXLfl04-Oc	3615
thinc/layers/expand_window.py	sha256=F6M-5ua5o8yfBI_cEI82qlq8HOcE04cEwBZtf5jqMBY	1640
thinc/layers/list2padded.py	sha256=fCijdiE3BQ9lWCY4xQS7kOnZS9LNcOa9vtsTidlvOT4	622
thinc/layers/with_padded.py	sha256=0PJ1jjT-EXnECqA0qglinBRR7DZFhNkKYTtInVUBRB0	4856
thinc/layers/with_nvtx_range.py	sha256=GtPec34_7MTsmF8QXDE_Ik9JJ6QJyEhWaXUKXMn-pOg	1292
thinc/layers/sparselinear.pyx	sha256=Zy5OqZa-AArfFEp8e4hd8TbpRw0xWQ0a3xfh8B9oDl8	8175
thinc/layers/layernorm.py	sha256=bWzSFdJZyJqF0hnZsioNjMiAdwwh_M-MY9YxHo-7XiY	2534
thinc/layers/maxout.py	sha256=OpnjXpOknepoxQOEzXvJ6ZJ6pxdHY7lcizBpz-F-WwQ	2594
thinc/layers/add.py	sha256=rUlRjXyI4npaqunQ1kOAXsMQGPI4by9puzOp8035Opc	2245
thinc/layers/embed.py	sha256=5DWHYDGz9YSA4-mPS6kGwrbQDtqWzqrdv4utUKgZ3v8	2690
thinc/layers/residual.py	sha256=2DB1i0U22MVqsTIDVA541L3HdZVgwtx-Ww-_AhrA0Oo	2092
thinc/layers/reduce_first.py	sha256=z1pW0nTeEwMWwna_qEf2cNv9Zdku4dwJxFVpMx7bcNg	815
thinc/layers/parametricattention_v2.py	sha256=knIoo027rmF1sip2o_ytXmtKuZZUprYPdNAFVgj1y7U	2972
thinc/layers/chain.py	sha256=u8benPTaEdTgnjV03RN3W1bckIHnQhk9DGOFP0_1ptg	3444
thinc/layers/logistic.py	sha256=Ubd-DxDe3sZRtUOOmMW_NEm3FcvlTiNla3ipDA4uuOg	609
thinc/layers/linear.py	sha256=Bk8MaVhjCz76VFLBp82xXM7FfKm6VVpIoDa0REabkDM	1720
thinc/layers/gelu.py	sha256=j9EVg1ok3iexhBP2wkDARC0mueIELBIoFwh6UDPri-c	2120
thinc/layers/with_cpu.py	sha256=4ophcaKRAZpXC1BbkiiHBO9M00mJOQwRU30GFxAH_xk	1427
thinc/layers/torchscriptwrapper.py	sha256=kbZHI4gh_AG_WWQW_06CqhDlfDj6jEKP1QBeFFp3LFc	3276
thinc/layers/mish.py	sha256=81glkEXiiZgnhpxvBAZl-DBp95Omm-JuGzPkezBpjeQ	2269
thinc/layers/sigmoid_activation.py	sha256=lGnRkEw_iQYVB0FJ4G8f-jd3TqOsSFSWfTWvHyG60hU	652
thinc/layers/__init__.py	sha256=p-ar3RqKTFQn7dkJpXC22bcIp_Es41yg3Aul8TswApY	4396
thinc/layers/pytorchwrapper.py	sha256=J7Djo53cNfWJqzGhdEFDNFWOsh3BwLY-3D7Iqbn9t9I	12439
thinc/layers/with_array.py	sha256=wnNV17DN0Zkxvd2lRjfe88IfpSjjCHMo4n3A54w-lHc	3578
thinc/layers/bidirectional.py	sha256=URqhnIzsHthqVuQLjSp5sk8Sl3VNWJpxQdJdPQbGOro	2191
thinc/layers/hard_swish.py	sha256=x0DYba-WbiJtP4qNW6zi2gyhrag8pWzHAOuQcXMa-n0	2147
thinc/layers/uniqued.py	sha256=HrAndr4P47aox5CFhf-sfyuCUJL3s1z5u7DplZ-FLUc	2061
thinc/layers/padded2list.py	sha256=NdtRONmEZ9HtaWQgRd0hKUMfjiuhRYwZfGeFKxtp2zM	702
thinc/layers/cauchysimilarity.py	sha256=D61DbRgxE4xHyEizP889CJjbbk-WqMzQKvn3Tq1DJP4	1740
thinc/layers/with_array2d.py	sha256=qVluENTZNnC3516ZHyxLZIYHH-dghdRGjon1rO93geU	4136
thinc/layers/strings2arrays.py	sha256=m656q5jR3YvhogwKkFK7WnG30qcFuN7w71hK-r7sOiI	953
thinc/layers/with_getitem.py	sha256=I6tApy_js0hjt1dM5TVodiFguA4I3gvcP76vqMmsoVE	1167
thinc/layers/with_flatten_v2.py	sha256=Qw-hq9AYvHnThl_FHojmfATlRC7OQg5q73xJBEV7gbs	1953
thinc/layers/clipped_linear.py	sha256=fvXSZfipmbDn_BJO_0zOTwx1iz29qjWOMmGrvOKJKOI	4447
thinc/layers/with_reshape.py	sha256=BjO3O99uQAzs8JkO9oeqAC8WIOwEzrH1VrkkgjWVzqU	1791
thinc/layers/tensorflowwrapper.py	sha256=ldukAcnd7szjHM9tdUl_7uQfkNCVs6hW5u7p13f-gEs	6549
thinc/layers/hard_swish_mobilenet.py	sha256=A7e9psHKfdUcIghbxBLGKlOEvWJF77Ix3XpcxVl9WBc	2194
thinc/layers/noop.py	sha256=n7Hh1cys1Pf9j1G9eECHtmrZ_l_wk_U28WW27FeO7fU	511
thinc/layers/relu.py	sha256=GYhb-zAzAjgN6QQDuaALon6BT0ogWimMU_7kNxygczo	2057
thinc/layers/swish.py	sha256=bJ8N6FSqg2fqRSBFWerOj-zcwQF37HxAeNxcNh0fW7o	2128
thinc/layers/with_signpost_interval.py	sha256=LMF6euGSkqfEPFJ_-cJWzhYSRKzRiUgmENuZ7zWrMrY	1511
thinc/layers/ragged2list.py	sha256=nFfYYltQFiGqf6dY0tDmfPmZtltQsmWrrwahBY6cxxE	773
thinc/layers/tuplify.py	sha256=N8B4w2diYBhHTScM_xJqfOR9y7ptJ68YTdjJHZEWMRM	2018
thinc/layers/premap_ids.cpython-312-darwin.so	sha256=Dvg4zzloI6cFYlK1psrcdI_VBy5xItnpZQ7rpSk32KU	205904
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thinc/layers/list2ragged.py	sha256=Nig72uXZYb1ol1biUrN4AXQ_NVHkvPjgaSSRAL4Qubo	863
thinc/layers/map_list.py	sha256=WYXwV7cmskrmNI4Z0HAGqXs9ICTUu9HzpkArhmhS1Mc	1027
thinc/layers/dropout.py	sha256=U2M0N7HVu6h7571p64p1YJSp3HhvnHhBzuO5-MaBap8	2955
thinc/layers/reduce_last.py	sha256=s-RR-NlMSp3RIsPyAPkaB_mJokfvQdXaT6PsG0EbkIo	796
thinc/layers/list2array.py	sha256=b9r9dM3B478QlsRSc0LojhnWQD4j8oDFyidFQn19VPg	877
thinc/layers/with_list.py	sha256=CEB4ujejys4nUS35lW2_WMJviT3LucF8Vs-am7iYLbI	2893
thinc/layers/lstm.py	sha256=CkeTUTVs6omznBKVgWOPZ_r2ad52mg6gljLHWl8L9vw	6451
thinc/layers/reduce_max.py	sha256=qnoDB4RZjTCLaDq2i75FFpO8zzmNKfOK6jkyfF-1bIQ	720
thinc/layers/with_flatten.py	sha256=q1VhtdQxe2whfFNx_8IMTS1_wABMD9Xd9wILher00Kg	1674
thinc/layers/resizable.py	sha256=tLTnMdw9phQOK2VY0NbTPdDiyYxH3uCuasOU85UkfTo	2755
thinc/layers/sparselinear.cpython-312-darwin.so	sha256=59Aqhrx2Jczc78FndknTf5IKZZ0HwXI2nbt2EsBEjz8	246032
thinc/layers/sigmoid.py	sha256=agL3ex_VJtapsqKKMB5pkc2A_2yEpD8juRIWXFJqbbU	1945
thinc/layers/premap_ids.pyx	sha256=fMV-O-M_BKAAsN2nL2EkuuNgeNFVsmwZLdg8Z9IdtHM	2493
thinc/layers/multisoftmax.py	sha256=J4-yQcIve5YZpn_jopRfEEPaIz6yh-cXEp0G49qSRCo	1768
thinc/layers/softmax.py	sha256=0RI62B8al5-JWR3f4uQhfrYjms8v5veb1P4LdfQ94sc	3237
thinc/layers/reduce_mean.py	sha256=i1ztKvU3LWdnJLTxpuENleHfRocmencGT8YHmDMp-cI	712
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thinc-9.1.1.dist-info/RECORD	—	—
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thinc-9.1.1.dist-info/WHEEL	sha256=Gslco0u-UdyhQslriEMCnIh5wENI6Dd1FlwyhvZM_HQ	110
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thinc-9.1.1.dist-info/METADATA	sha256=QALbqC9kSZCJkkcRHCaL3LI_6JzC0MZi30_JgMjFDYg	14905

top_level.txt

thinc

entry_points.txt

[pytest_randomly.random_seeder]

thinc = thinc.api:fix_random_seed