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Cython hash table that trusts the keys are pre-hashed

Project description

preshed: Cython Hash Table for Pre-Hashed Keys

Simple but high performance Cython hash table mapping pre-randomized keys to void* values. Inspired by Jeff Preshing.

Azure Pipelines pypi Version conda Version Python wheels

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preshed-3.0.8.tar.gz (14.5 kB view details)

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preshed-3.0.8-cp311-cp311-win_amd64.whl (91.9 kB view details)

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preshed-3.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (116.5 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

preshed-3.0.8-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (122.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

preshed-3.0.8-cp311-cp311-macosx_11_0_arm64.whl (98.2 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

preshed-3.0.8-cp311-cp311-macosx_10_9_x86_64.whl (103.5 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

preshed-3.0.8-cp310-cp310-win_amd64.whl (94.7 kB view details)

Uploaded CPython 3.10Windows x86-64

preshed-3.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (118.6 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

preshed-3.0.8-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (124.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

preshed-3.0.8-cp310-cp310-macosx_11_0_arm64.whl (101.5 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

preshed-3.0.8-cp310-cp310-macosx_10_9_x86_64.whl (107.0 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

preshed-3.0.8-cp39-cp39-win_amd64.whl (96.8 kB view details)

Uploaded CPython 3.9Windows x86-64

preshed-3.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (122.8 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

preshed-3.0.8-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (128.7 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

preshed-3.0.8-cp39-cp39-macosx_11_0_arm64.whl (101.7 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

preshed-3.0.8-cp39-cp39-macosx_10_9_x86_64.whl (107.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

preshed-3.0.8-cp38-cp38-win_amd64.whl (96.7 kB view details)

Uploaded CPython 3.8Windows x86-64

preshed-3.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (125.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

preshed-3.0.8-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (130.8 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

preshed-3.0.8-cp38-cp38-macosx_11_0_arm64.whl (101.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

preshed-3.0.8-cp38-cp38-macosx_10_9_x86_64.whl (107.4 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

preshed-3.0.8-cp37-cp37m-win_amd64.whl (95.4 kB view details)

Uploaded CPython 3.7mWindows x86-64

preshed-3.0.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (120.9 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

preshed-3.0.8-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (126.6 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

preshed-3.0.8-cp37-cp37m-macosx_10_9_x86_64.whl (105.8 kB view details)

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preshed-3.0.8-cp36-cp36m-win_amd64.whl (111.3 kB view details)

Uploaded CPython 3.6mWindows x86-64

preshed-3.0.8-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (121.4 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ ARM64

preshed-3.0.8-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (127.7 kB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

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  • Download URL: preshed-3.0.8.tar.gz
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  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

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Algorithm Hash digest
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  • Upload date:
  • Size: 91.9 kB
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  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for preshed-3.0.8-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 019d8fa4161035811fb2804d03214143298739e162d0ad24e087bd46c50970f5
MD5 12af347b2dde00c8121e82d0d0b55d6e
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Hashes for preshed-3.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 854d58a8913ebf3b193b0dc8064155b034e8987de25f26838dfeca09151fda8a
MD5 1288e73292ae7ca9c43095446cec3ebc
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Algorithm Hash digest
SHA256 135e2ac0db1a3948d6ec295598c7e182b52c394663f2fcfe36a97ae51186be21
MD5 218ab8a02e8b82e4889910c9a854a65a
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Algorithm Hash digest
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Algorithm Hash digest
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  • Download URL: preshed-3.0.8-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 94.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for preshed-3.0.8-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c8a2e2931eea7e500fbf8e014b69022f3fab2e35a70da882e2fc753e5e487ae3
MD5 c081868774145f07bd540164b8af6d5e
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Algorithm Hash digest
SHA256 f9a4833530fe53001c351974e0c8bb660211b8d0358e592af185fec1ae12b2d0
MD5 fb0649020e60338e189b840a01295351
BLAKE2b-256 b3a09fca34afe2dd03ee1a2eb8d5c9186ea914de3ddee29866b2ed8c0fca579b

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Algorithm Hash digest
SHA256 e1472ee231f323b4f4368b1b5f8f08481ed43af89697d45450c6ae4af46ac08a
MD5 edaaadb1d23cbe5c6c87882805ae076d
BLAKE2b-256 d1f4e3a93cecfad1da8e3fae03585715fc0666a6ce50ba70f85f74c142254852

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Hashes for preshed-3.0.8-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8e945fc814bdc29564a2ce137c237b3a9848aa1e76a1160369b6e0d328151fdd
MD5 3fe82ab0063af76586cdca232afe927b
BLAKE2b-256 77354960a3486b2e95eaca4e14f9d13de50899aa115c72602225ae3ad789a08c

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Algorithm Hash digest
SHA256 ea4b6df8ef7af38e864235256793bc3056e9699d991afcf6256fa298858582fc
MD5 c52fd4af3f839d23c2459b9063097df9
BLAKE2b-256 f76768f6be9f4c59f60e41c7e688b991958874eeb6d4d6ca3c12b3f793d20140

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  • Download URL: preshed-3.0.8-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 96.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

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Algorithm Hash digest
SHA256 06793022a56782ef51d74f1399925a2ba958e50c5cfbc6fa5b25c4945e158a07
MD5 6da565c9b0009d83120223d9fdcea562
BLAKE2b-256 8f1089474a93d54a150ae729ff1468a6da1bc86074171a70c5e2eae532046f24

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Algorithm Hash digest
SHA256 5a6a7fcf7dd2e7711051b3f0432da9ec9c748954c989f49d2cd8eabf8c2d953e
MD5 24492da73bc7e918a7709358e5c4d915
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Algorithm Hash digest
SHA256 5942858170c4f53d9afc6352a86bbc72fc96cc4d8964b6415492114a5920d3ed
MD5 c8d9650ca19b641e1652476a1ce4c0b8
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Algorithm Hash digest
SHA256 0ae25a010c9f551aa2247ee621457f679e07c57fc99d3fd44f84cb40b925f12c
MD5 89081a06151df67afbd64152852ec2eb
BLAKE2b-256 fe2125d3e2dff5e9c83cd13668131d2f145f18ae0992238881a6e55fb888d869

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Algorithm Hash digest
SHA256 67643e66691770dc3434b01671648f481e3455209ce953727ef2330b16790aaa
MD5 ca24d35322a718850a437431643c9c8f
BLAKE2b-256 698af941bc420d5a07850157df71de69a7f8af6c0b097b5775c04c86404f7618

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  • Upload date:
  • Size: 96.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

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Algorithm Hash digest
SHA256 246e7c6890dc7fe9b10f0e31de3346b906e3862b6ef42fcbede37968f46a73bf
MD5 984e57198a98a1e389b07a5b2d72304b
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Algorithm Hash digest
SHA256 e0ad3d860b9ce88a74cf7414bb4b1c6fd833813e7b818e76f49272c4974b19ce
MD5 c6fbe912b03569a0fa84c4c29de202ad
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Algorithm Hash digest
SHA256 fd19d48440b152657966a52e627780c0ddbe9d907b8d7ee4598505e80a3c55c7
MD5 24c8a92e1060a1b151d51d32ab8e5357
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Algorithm Hash digest
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MD5 7187be0917a01866a8b81677aceb29be
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Algorithm Hash digest
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  • Size: 95.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

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Algorithm Hash digest
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Algorithm Hash digest
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