python binding for clhash

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for synodriver from gravatar.com synodriver

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: synodriver
  • Tags hash, clhash
  • Requires: Python >=3.6
Classifiers

Project description

clhash

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for synodriver from gravatar.com synodriver

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Author: synodriver
  • Tags hash, clhash
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

This version

0.1.1

0.1.0

0.1.0rc1 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyclhash-0.1.1.tar.gz (113.9 kB view details)

Uploaded Source

Built Distributions

pyclhash-0.1.1-pp310-pypy310_pp73-win_amd64.whl (214.4 kB view details)

Uploaded PyPy Windows x86-64

pyclhash-0.1.1-pp310-pypy310_pp73-manylinux2014_x86_64.whl (249.1 kB view details)

Uploaded PyPy

pyclhash-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (211.4 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyclhash-0.1.1-pp39-pypy39_pp73-win_amd64.whl (170.4 kB view details)

Uploaded PyPy Windows x86-64

pyclhash-0.1.1-pp39-pypy39_pp73-manylinux2014_x86_64.whl (204.3 kB view details)

Uploaded PyPy

pyclhash-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (168.7 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyclhash-0.1.1-pp38-pypy38_pp73-win_amd64.whl (169.9 kB view details)

Uploaded PyPy Windows x86-64

pyclhash-0.1.1-pp38-pypy38_pp73-manylinux2014_x86_64.whl (198.1 kB view details)

Uploaded PyPy

pyclhash-0.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (167.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyclhash-0.1.1-pp37-pypy37_pp73-win_amd64.whl (169.9 kB view details)

Uploaded PyPy Windows x86-64

pyclhash-0.1.1-pp37-pypy37_pp73-manylinux2014_x86_64.whl (198.3 kB view details)

Uploaded PyPy

pyclhash-0.1.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (167.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyclhash-0.1.1-cp312-cp312-win_amd64.whl (221.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

pyclhash-0.1.1-cp312-cp312-manylinux2014_x86_64.whl (267.9 kB view details)

Uploaded CPython 3.12

pyclhash-0.1.1-cp311-cp311-win_amd64.whl (175.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

pyclhash-0.1.1-cp311-cp311-manylinux2014_x86_64.whl (215.4 kB view details)

Uploaded CPython 3.11

pyclhash-0.1.1-cp310-cp310-win_amd64.whl (175.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

pyclhash-0.1.1-cp310-cp310-manylinux2014_x86_64.whl (217.0 kB view details)

Uploaded CPython 3.10

pyclhash-0.1.1-cp310-cp310-macosx_11_0_x86_64.whl (178.2 kB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

pyclhash-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl (177.8 kB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

pyclhash-0.1.1-cp39-cp39-win_amd64.whl (176.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

pyclhash-0.1.1-cp39-cp39-manylinux2014_x86_64.whl (218.8 kB view details)

Uploaded CPython 3.9

pyclhash-0.1.1-cp39-cp39-macosx_11_0_x86_64.whl (178.6 kB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

pyclhash-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl (178.2 kB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

pyclhash-0.1.1-cp38-cp38-win_amd64.whl (176.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

pyclhash-0.1.1-cp38-cp38-manylinux2014_x86_64.whl (219.3 kB view details)

Uploaded CPython 3.8

pyclhash-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl (223.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

pyclhash-0.1.1-cp38-cp38-macosx_10_15_x86_64.whl (176.1 kB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

pyclhash-0.1.1-cp37-cp37m-win_amd64.whl (176.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

pyclhash-0.1.1-cp37-cp37m-manylinux2014_x86_64.whl (219.8 kB view details)

Uploaded CPython 3.7m

pyclhash-0.1.1-cp37-cp37m-macosx_11_0_x86_64.whl (223.5 kB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

pyclhash-0.1.1-cp37-cp37m-macosx_10_15_x86_64.whl (177.0 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

pyclhash-0.1.1-cp36-cp36m-win_amd64.whl (176.3 kB view details)

Uploaded CPython 3.6m Windows x86-64

pyclhash-0.1.1-cp36-cp36m-manylinux2014_x86_64.whl (220.3 kB view details)

Uploaded CPython 3.6m

pyclhash-0.1.1-cp36-cp36m-macosx_10_14_x86_64.whl (176.6 kB view details)

Uploaded CPython 3.6m macOS 10.14+ x86-64

File details

Details for the file pyclhash-0.1.1.tar.gz.

File metadata

  • Download URL: pyclhash-0.1.1.tar.gz
  • Upload date:
  • Size: 113.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for pyclhash-0.1.1.tar.gz
Algorithm Hash digest
SHA256 be1d17e93078da3b49044546af8f47f8fab235ade00cb4f66a247617261e718c
MD5 c190150ead177347918961b0ffa25374
BLAKE2b-256 76f6e7feb8d488482a46a98125d4f7f99d3d1361207b97e460a7ec55fdd137d4

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ceb1bc128d31225b00cc91c1dfaf463e909b4e83f925a361bc17a71297c08d8c
MD5 7d5c8415980939acf7208f5450af1577
BLAKE2b-256 1eab18e95f3d0f1407567a5d0444e81c8cb6784d7f119d536df1d8b3b71b03d6

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp310-pypy310_pp73-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp310-pypy310_pp73-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b8749d22c2cedd6645fdbff0836468b86e68e11cc7f965acfd21564f60299286
MD5 4be71cfe5c7eda496b44c1926ae35088
BLAKE2b-256 55620077b582585e291435b845621eaa907a4a9fe22aeb13881bac83efcb8465

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a06f3abbcdff5de6af8f1d0595a43cf4c70a47603f74500e0db9f1d2903fc225
MD5 baf96ff0580728567e34c72ba35e2e1c
BLAKE2b-256 463ff762ba3d319fc448f660d75056f4fe283f4680a8b01334307f4dd055f251

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 fed8d17aed442b1436263126ecce080f0642eac4a63001c985a3596d65dd1f27
MD5 15a5bfaf9dcacbdb17b4e23a7bd27165
BLAKE2b-256 5e8c152a90e07fa86cc545487ec9b04c7125e2fc7aa7ae69a0eb165d72d3c152

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp39-pypy39_pp73-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp39-pypy39_pp73-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0fe16bc91db818dfad43fcc49ce156878b962b1b5c4140a4e700a4a3ec215d92
MD5 237acdbd305e8257b229c83607d6fa32
BLAKE2b-256 db4559ec13b09a66f6cae85cd4252743988f694fbc3c04e2f73705af3dbd42de

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 085eaca284ec9430af0f0068d4ac1e3c11d256db6e773e5d1d26c7d7192c287d
MD5 ffd9fb3e9ecef4d4dcc7a0a7bb7c9fb6
BLAKE2b-256 ffac26b2d0b8e2109fda5d06816d10e6529cc5c6e0b345a1a766a41ed766898c

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 9ca9d080c8b731e4ec2744fcac264b3b34f81b1f3fdb381a7148bd7ac68ace17
MD5 544202f6c03f317330d6c821477823df
BLAKE2b-256 7cc37ff26fb79b98bff0220571174f9ad391263a900c4345db70543d80c99398

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp38-pypy38_pp73-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp38-pypy38_pp73-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c71300f2920dae8767d603841598b0d87ec70c3829c04cd195c5118b58f1bc40
MD5 da1c1be978c7fcd630082467139d24f2
BLAKE2b-256 36bf783f925bb9239f50fc94b1b59df818660e2919c24bbc806a3cb3a2989af4

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f3854cb42c580e1ce16fc2bf2e25c27ff88ce5cd262aad61d75d1a7f2f6f77eb
MD5 a7df0b28fa748c346ac3128d875c2829
BLAKE2b-256 388b02a723402532dffd1f7d79b087addb1416ad6d3e9ea6e09de6db8f5d9baa

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 93652aa8e7b5b274169b3210df330b94cadf0ff1f8a7c8c2371f80ab6c54b402
MD5 fc84552af7d80ce11342a5bfe43e0c1b
BLAKE2b-256 1467f5a864d0ad9db7bacbb7880d62e106a915d9a316fd2e9fd9d7c350adf2ac

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp37-pypy37_pp73-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp37-pypy37_pp73-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f8369436a8f37feaf10277d94d0ada68f73ae6e12bf130a86bc345f88b9a7b9e
MD5 bc2d03587af493681d8840d1b5634b46
BLAKE2b-256 98aa5800b291ab7e59c225b8e99b7bebeeb14a53f963be8bb8ba6045395d796a

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4b9e889a8f44dc3e1cbd1fe61bf9b56ececf4eb18879b45d0faee59eb5044df7
MD5 742430d10a6fa99908f6ebac6ce305ab
BLAKE2b-256 7e6aa004ac0faab1f7d642bc5ba68530a4949a955e57100853e1bc0d5d6959c0

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 221.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pyclhash-0.1.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 67a7a9abcbca55221cdedc575bc12d3a938d98f2d4d83de2a105fea246915eff
MD5 6746b31f1b02101fce4a5c50df45fd24
BLAKE2b-256 e9e1ce5cd92320427681c8350e13428cfdc4e09b3245d9bb78a345125a0a6284

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 543316f289a6154d49eec098aa6a01d869b050fb0e0d62971259c770dce76534
MD5 42afa9c8de74f1e8d35ac13c31e197ed
BLAKE2b-256 5c33ebafcdc5d83451362c0781836841a5afff661a9e98c473af4a0cdf11ad3f

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 175.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.0

File hashes

Hashes for pyclhash-0.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 88eb907c2d9755a78eebd7414e4ed70d3982e5fdb1d317133d7bdc8c71b4f1a3
MD5 0db8229eaed86c85623eaf1742e075be
BLAKE2b-256 94ec8620aa8447f4bb1a068a6a113a7be7ef7a648892e04582823368727c8e9e

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1938baab1fcefe4ed1b5dcf17fbbf649cdf2ea0448e7d53d9c0b795ca2129c54
MD5 ac64eaaf7fe59d2796baffc779af3774
BLAKE2b-256 a347aa410621d4601d8c2a6322df48e73787f010995c515da4b2260b0f0c424e

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 175.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for pyclhash-0.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 1d09596323f346b546e02317fb0ca72c9ca0c08b9ef77bba7f56ec7d792586c7
MD5 46dcd3b245dac47b529346edcb7d5038
BLAKE2b-256 e1975e470bf64e23161ee63934dbc5c4c804ccdadb458a09aa85750cf3a0c948

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1eb207a4e62093ddff583f876fdb6f5653b3c9c4285ef44e2c9e82fc4c177522
MD5 a09ce17f49ce2d2a52ada540f9a52b64
BLAKE2b-256 00fe8d694c9afb21bc6c007ff16f0e49bbee77af99c3bd41bc0b162bf08265fa

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 e9c923870a60801bcee8dfafc38fdedd5d7b0046df0bc2b36d2f1daf7a61d955
MD5 3617a43988e468d8199fac8b653ed61d
BLAKE2b-256 ad2c35c376a08d782fd02fd9995039f76b35c90bb17d6bf9fc87b0237d813211

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6834d6e52dc2927d7f14f9acea55e0f53c01c3009251ed77b29a9b6f64535774
MD5 aa3b121d7d9c5c92f79a739a335d0399
BLAKE2b-256 2e85c4d670fcd020b394907e450ad7295e5cdfaca2cc872485bd7ec5a5cd32b7

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 176.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pyclhash-0.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bcba5a04496f54cd57db916f123c4888fb8a42eb36fbf0f752e34ae1426517c3
MD5 4dfc16a7b33a3c4843575e9ae5bee7b4
BLAKE2b-256 fd10d2c9d9d1486833987ba76ea5384ddecd2f50b98033283c731e13e52ddd22

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dadedcbfacde424ebc91199e03e76a9dae2574818aff60b12a9a4d07aa74f385
MD5 2308d9be48af28aaa4444a5db47a04fc
BLAKE2b-256 d0faabe565d58587cab2d3ef4b8a7c365fb9ae7afe5ad47acd0bcae9051704b5

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 4c0bd7fb309669568d1086376d8df3b01b6701dd25b411aa23a6a6c583458153
MD5 3f2b6c5ebf1e81be5af926f3b3c15a6d
BLAKE2b-256 5bd576bfce19e2f690706ceb08fa513e578e3088fa8ac737124148bbce36d8ca

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 f121af1dd061561cf6eda0e2a4a15ef85c152f404ba9b3b82209738288529468
MD5 48465e1cbe51e2bcc438b4010effb6ab
BLAKE2b-256 0884e374d60df86cee447207eac3675dd4d48a0561189fb585a7b83e9b8d906a

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 176.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for pyclhash-0.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 6878523d26c72c4dddfa1eb431703c4cb91303de3b203d124bb848d4216df459
MD5 4700f45ceee52df8e5e2a198f6fc953d
BLAKE2b-256 ef4414f7e7c1656b11ac40b80ba17b540663bfcbb00b16ab686eb499203afcbb

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f4aa42c7a2f74cb806e3befda8fe36ac1ba9c432354af4354348f32887acd597
MD5 6342399de925d9831bdd7c95c707f4b4
BLAKE2b-256 351a20433322f7c52f3fd6529a1599c0356110ec65301b2f6251660d0d528f27

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 4e099a3481fdd7c898b9d702460b3d02f186ee79fcb50f88944c0c8f799ea976
MD5 749450ba29bceca774caecc01bbe8fb3
BLAKE2b-256 bd4e92bf576796481535d7ed863d8678e99013fd93c3766a935eb599114c71ce

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 9319f01d5a3579a6f073d3b0660ba5fef133b66e6106e23433c98c096e6b2f2f
MD5 23b5b8b80224b36e0fb7ab9f951d6205
BLAKE2b-256 04267da02701dd1584183d0aa2d002a9bf546f394656aa557b17d92e48c15395

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 176.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for pyclhash-0.1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7a16bc3656c808df86377041b44157fa8ff2b62413abfe887bbbbfeb0768e885
MD5 7f29359d3c459f802e9d186e5d5364c4
BLAKE2b-256 4a47bdfe784e06aa3d0cc76564f574fb1ea1c51af90dcb9ab2933922d3f62a8c

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 495c01ae2ffa1f0a7a32f3c95fca1bd6195a3511fe3e916a58e261338454b0e2
MD5 5317377a99c12c9358f69e85a177abaa
BLAKE2b-256 5c9cf01a383f53b78468103750e9193f4ea553635c8c333d300b8437d98c652b

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 79dddcff7e2d84d4bade41249b532dc65a600684348c0ca664d9a84a99dfaf20
MD5 91dc0483f8df74cdba3d571f78ed762d
BLAKE2b-256 9c4ce177263a800e86562a24ce3bad69ac3d0713fc23ce7ce452a66050e2f70e

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pyclhash-0.1.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4d832245005e1dae237a11e82b26ef3bdd9af403722daba339a1ac3b69c6ef14
MD5 6a663c5f10ed6c613569bf38afad1014
BLAKE2b-256 f5ab4c9a298e155537bc4c0e59320d271ad77383d06187c70775c61f88154d14

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 176.3 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.2.0 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for pyclhash-0.1.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6084eb3fa3235945d2ec185079a6721ba59b77000b5c34d08340b2dc8723a949
MD5 95a1eb561deb89847107389cbe099efb
BLAKE2b-256 fc1672903401f2a193555f44760ea8b8496b9346ec629a42ec939e988d975427

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 220.3 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.2.0 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for pyclhash-0.1.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0e304487397250a11706b3d30308232a45c6fd402105c8f2a4f60a6545cf7541
MD5 bc3800e8b54ed5de8e8cb45c07eaec39
BLAKE2b-256 519daffd9434f9c51a7170b8e73f841b6202c7435024724bd763cd41769da12e

See more details on using hashes here.

File details

Details for the file pyclhash-0.1.1-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: pyclhash-0.1.1-cp36-cp36m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 176.6 kB
  • Tags: CPython 3.6m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.2.0 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for pyclhash-0.1.1-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 29d3539fb76f0b0576c8914f6aed62bb9510e234bd5490a529792fb3f652d659
MD5 41741ff8fe539ed4074452d4232a11f0
BLAKE2b-256 0d1dc4031b643d2614a0ea573e8184d534d2f1665c0efd847a1675c428502893

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page