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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.

tests pypi Version conda Version Python wheels

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preshed-3.0.9.tar.gz (14.5 kB view details)

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preshed-3.0.9-cp312-cp312-win_amd64.whl (122.4 kB view details)

Uploaded CPython 3.12 Windows x86-64

preshed-3.0.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (149.2 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (156.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

preshed-3.0.9-cp312-cp312-macosx_11_0_arm64.whl (128.6 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

preshed-3.0.9-cp312-cp312-macosx_10_9_x86_64.whl (133.2 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

preshed-3.0.9-cp311-cp311-win_amd64.whl (122.3 kB view details)

Uploaded CPython 3.11 Windows x86-64

preshed-3.0.9-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (150.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (157.2 kB view details)

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

preshed-3.0.9-cp311-cp311-macosx_11_0_arm64.whl (128.8 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

preshed-3.0.9-cp311-cp311-macosx_10_9_x86_64.whl (133.0 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

preshed-3.0.9-cp310-cp310-win_amd64.whl (122.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

preshed-3.0.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (150.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (156.9 kB view details)

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

preshed-3.0.9-cp310-cp310-macosx_11_0_arm64.whl (127.8 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

preshed-3.0.9-cp310-cp310-macosx_10_9_x86_64.whl (132.2 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

preshed-3.0.9-cp39-cp39-win_amd64.whl (122.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

preshed-3.0.9-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (150.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (157.5 kB view details)

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

preshed-3.0.9-cp39-cp39-macosx_11_0_arm64.whl (129.1 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

preshed-3.0.9-cp39-cp39-macosx_10_9_x86_64.whl (133.5 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

preshed-3.0.9-cp38-cp38-win_amd64.whl (123.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

preshed-3.0.9-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (148.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (154.2 kB view details)

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

preshed-3.0.9-cp38-cp38-macosx_11_0_arm64.whl (131.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

preshed-3.0.9-cp38-cp38-macosx_10_9_x86_64.whl (135.7 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

preshed-3.0.9-cp37-cp37m-win_amd64.whl (122.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

preshed-3.0.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (146.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (151.3 kB view details)

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

preshed-3.0.9-cp37-cp37m-macosx_10_9_x86_64.whl (133.3 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

preshed-3.0.9-cp36-cp36m-win_amd64.whl (138.8 kB view details)

Uploaded CPython 3.6m Windows x86-64

preshed-3.0.9-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (140.1 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

preshed-3.0.9-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (146.2 kB view details)

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

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  • Download URL: preshed-3.0.9.tar.gz
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  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

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Hashes for preshed-3.0.9.tar.gz
Algorithm Hash digest
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  • Size: 122.4 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for preshed-3.0.9-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 24229c77364628743bc29c5620c5d6607ed104f0e02ae31f8a030f99a78a5ceb
MD5 0af49dcfde5456478d9320b7534d042e
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Algorithm Hash digest
SHA256 4a55091d0e395f1fdb62ab43401bb9f8b46c7d7794d5b071813c29dc1ab22fd0
MD5 81fabc053bc3d58fb69d41209727cffc
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Algorithm Hash digest
SHA256 7de8f5138bcac7870424e09684dc3dd33c8e30e81b269f6c9ede3d8c7bb8e257
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Algorithm Hash digest
SHA256 e04f05758875be9751e483bd3c519c22b00d3b07f5a64441ec328bb9e3c03700
MD5 810c42e80ba39a54e3ddd1871be682b9
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Algorithm Hash digest
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MD5 908cb47d193ff074ddcfd3b8277236a6
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  • Upload date:
  • Size: 122.3 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for preshed-3.0.9-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 96b857d7a62cbccc3845ac8c41fd23addf052821be4eb987f2eb0da3d8745aa1
MD5 c82f0f760b829f338cf75ca3edc6ad1e
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Algorithm Hash digest
SHA256 345a10be3b86bcc6c0591d343a6dc2bfd86aa6838c30ced4256dfcfa836c3a64
MD5 3a174181434005ed1bbfbddc1318fa83
BLAKE2b-256 2c9a919d3708f6fa98d9eab1a186e6b30ab25a4595907bbc1fea5c1e8faa9b9d

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Algorithm Hash digest
SHA256 51d0192274aa061699b284f9fd08416065348edbafd64840c3889617ee1609de
MD5 27b5c82fdbfca1b516e7e6efe984f0d8
BLAKE2b-256 db69d9ab108dc670b5be9e292bbd555f39e6eb0a4baab25cd28f792850d5e65b

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Algorithm Hash digest
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MD5 12d9d400bc46acf3982a44b74b04a606
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Algorithm Hash digest
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MD5 dead2bfa40c4269d52aa989a747cd0d6
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  • Size: 122.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for preshed-3.0.9-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bfd523085a84b1338ff18f61538e1cfcdedc4b9e76002589a301c364d19a2e36
MD5 b4bc49dbbedbd9c9a054f439f78d60f1
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Algorithm Hash digest
SHA256 99499e8a58f58949d3f591295a97bca4e197066049c96f5d34944dd21a497193
MD5 f1ff7e122b7f2749c698c95b7c7bea8f
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Algorithm Hash digest
SHA256 ea6b6566997dc3acd8c6ee11a89539ac85c77275b4dcefb2dc746d11053a5af8
MD5 b0c9dc276449e4051a8824b7f71bc697
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Algorithm Hash digest
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MD5 c8d143738b7b6db51e8c0abdd97e83dc
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Algorithm Hash digest
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MD5 8f2d74f863b289a4f01d845f891cd049
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  • Size: 122.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

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Algorithm Hash digest
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MD5 acad16c7c2dc58fbe49d6e1df27cb475
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Algorithm Hash digest
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MD5 ec14875467342258c2f320e0bd761d78
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Algorithm Hash digest
SHA256 778cf71f82cedd2719b256f3980d556d6fb56ec552334ba79b49d16e26e854a0
MD5 8637bc942ceff0364baf8b1ea934d1b6
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  • Size: 123.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

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Algorithm Hash digest
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