Skip to main content

Python wrapper for FastLZ, a lightning-fast lossless compression library.

Project description

FastLZ

Python wrapper for FastLZ, a lightning-fast lossless compression library.

Installation

To install fastlz, simply:

$ pip install pyfastlz

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyfastlz-0.0.1-pp310-pypy310_pp73-win_amd64.whl (9.5 kB view details)

Uploaded PyPyWindows x86-64

pyfastlz-0.0.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pyfastlz-0.0.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (8.2 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pyfastlz-0.0.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (8.4 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyfastlz-0.0.1-pp39-pypy39_pp73-win_amd64.whl (9.5 kB view details)

Uploaded PyPyWindows x86-64

pyfastlz-0.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pyfastlz-0.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (8.2 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pyfastlz-0.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (8.4 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

pyfastlz-0.0.1-cp312-cp312-win_amd64.whl (9.4 kB view details)

Uploaded CPython 3.12Windows x86-64

pyfastlz-0.0.1-cp312-cp312-win32.whl (8.9 kB view details)

Uploaded CPython 3.12Windows x86

pyfastlz-0.0.1-cp312-cp312-musllinux_1_1_x86_64.whl (30.0 kB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ x86-64

pyfastlz-0.0.1-cp312-cp312-musllinux_1_1_i686.whl (29.2 kB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ i686

pyfastlz-0.0.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.1 kB view details)

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

pyfastlz-0.0.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.7 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pyfastlz-0.0.1-cp312-cp312-macosx_10_9_x86_64.whl (8.7 kB view details)

Uploaded CPython 3.12macOS 10.9+ x86-64

pyfastlz-0.0.1-cp311-cp311-win_amd64.whl (9.4 kB view details)

Uploaded CPython 3.11Windows x86-64

pyfastlz-0.0.1-cp311-cp311-win32.whl (8.9 kB view details)

Uploaded CPython 3.11Windows x86

pyfastlz-0.0.1-cp311-cp311-musllinux_1_1_x86_64.whl (30.3 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

pyfastlz-0.0.1-cp311-cp311-musllinux_1_1_i686.whl (29.5 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ i686

pyfastlz-0.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.0 kB view details)

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

pyfastlz-0.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.6 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pyfastlz-0.0.1-cp311-cp311-macosx_10_9_x86_64.whl (8.7 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pyfastlz-0.0.1-cp310-cp310-win_amd64.whl (9.4 kB view details)

Uploaded CPython 3.10Windows x86-64

pyfastlz-0.0.1-cp310-cp310-win32.whl (8.9 kB view details)

Uploaded CPython 3.10Windows x86

pyfastlz-0.0.1-cp310-cp310-musllinux_1_1_x86_64.whl (29.5 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

pyfastlz-0.0.1-cp310-cp310-musllinux_1_1_i686.whl (28.7 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

pyfastlz-0.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.0 kB view details)

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

pyfastlz-0.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.6 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pyfastlz-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl (8.7 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pyfastlz-0.0.1-cp39-cp39-win_amd64.whl (9.4 kB view details)

Uploaded CPython 3.9Windows x86-64

pyfastlz-0.0.1-cp39-cp39-win32.whl (8.9 kB view details)

Uploaded CPython 3.9Windows x86

pyfastlz-0.0.1-cp39-cp39-musllinux_1_1_x86_64.whl (29.3 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

pyfastlz-0.0.1-cp39-cp39-musllinux_1_1_i686.whl (28.5 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

pyfastlz-0.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 kB view details)

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

pyfastlz-0.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.5 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

pyfastlz-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl (8.7 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

File details

Details for the file pyfastlz-0.0.1-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 3358954a6dc94e9337941a3340cd50ea0f6b7de3c551eff45850560f537547f8
MD5 08e2f33f9e5f3b7ad19daedc10a4f64c
BLAKE2b-256 b53baed623d184a973f6bcc096aaab85c030562217d874094425ec6923fa0960

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6ff34e3bec9eb5aa8bbfdfd938fec6bbfe70d5b2b3e2fca24312d09059edb97b
MD5 ed4d4afc4ff466b23d02ef92528aeb00
BLAKE2b-256 f1f739d04a167fd23071d53ae07eafc985cf5a1bc2bdffb2e8140103de96cf1a

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bed631212bfafbcacd3bd55a7d8e78eb78e08d5f06f60a6020a86f3ac55f8703
MD5 0278015029a5a826e32a3c06b91741b8
BLAKE2b-256 7a544e8a0ec6716f8e81ae3dd5fc0b543680a3dad73ffa71e08d846359deaefe

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b76c49244d6517d1cc1b325d66427b65d2ca3fbd0db3ac69aa5698157ca5260f
MD5 743681769d0c55511ea9c0247967f706
BLAKE2b-256 39bdf546c008b34c95e64ca89563411b2620699b33ab7b13c57d589acc782925

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 55f26b7d3e99317a43dfbd0199dcf14a131debae1d92d4ac071fb1f3db53a52e
MD5 73038f0f5779f35bfbabc908389c541b
BLAKE2b-256 5566a6307e115b71b315a3a3bf375684d5fc869e89f7dc4c78ca9b1be70c1b07

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83ccd0ff2901bfee261237e6e680b7641114274b7dfb56238caab2def624aaac
MD5 24f3e4506d69062353ab3e430fe8b64b
BLAKE2b-256 65a1ccaecf2c24ac15520892375e8141530456cfb44b2a5344ef9e33faa0693d

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4ce13e86337e4f7e8613a60656383384f72c91350f55b1ba4b9d24c69c5e19e9
MD5 08fe6695aa50fd77259b457aa6c7022a
BLAKE2b-256 338d7a36061b64931f9652844c0940ee8a4a659f3b9faaa3930b1e855c59302e

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 114f1f6306418055722fe64e246eb44623610cdfbde487334fb5ff069a37d2df
MD5 ee5631654798e3054b2ff0fbfb1d4dad
BLAKE2b-256 5d7161853d317c93d2a18eea0430c03f296b58a2dbb11b19a3bfd993b765351e

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 77a8973a909ac01b645005b0cc298fdc1618f25303a99fee0e643331969e8a21
MD5 6b1dc9ce1eac169b3fc3f769da67889d
BLAKE2b-256 5659def8c8d07899a00a86c1c757af51192f2de293ebe7e5c22e5a6be552ecfb

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 31462544a57219f0024a395f938626951435db786ceb8a3759e4ae38b7f76988
MD5 f0b17cdbb8f68599032508fa15f3d9ee
BLAKE2b-256 d1d134d5b48d8deeb66f0f52787d81258cb6d37b2cc3097a39ef77ca7de8a406

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c3b046c886fae35fcd5e28ba282b590ee3c3ea53472d9366d4ff1c573f008952
MD5 db841cfa61871632807bc6a7a5bf7b20
BLAKE2b-256 64e2b0b8dd1e9633c0a65d317ffb7c1b1b1955627e0305c3c4fe136ac4f6449a

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5e5ad32d2a747a0d1e4d674e5e063c2dd93dee40523a9ba8625b8371c97f9c8c
MD5 a39aeb4ed5bc2436b9794b3ce1dad183
BLAKE2b-256 07ba01e361138b9d890c2732e81fb1578dc70c727ea25737ec16e692184d3dd6

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3a08483018019f0b8df6657d6504d29279dae4e7cce6129fa1e72997b7aa4205
MD5 9b66b09f66034393836d3e545e08ab2c
BLAKE2b-256 a5fa1e7717577b31cb16fef46e7d6b5ef33c069ff8bf6ac568fb28e73e7e03bd

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a448acd7bae9d196e91e07fb7c008886b00176e3cba499c9ecf413d20cf4e145
MD5 94a8f84e0b7404348c061811e0b92136
BLAKE2b-256 2299cdc18a1fc74cde8365bb8ddda4b6acfc791f18aa97067ff6f30fe01cc043

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ddb8fadcc9b6cc210af2bb2524f0354efb57911952d8f59500db9c2a5d88fa4d
MD5 de07d51b61b9a13a81541b858ff6070c
BLAKE2b-256 07f5f27d03d3eff4da96eb6abb28949b212b8c1c833b9fd825f99faab0cbfef7

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 38071c16751ded2b646212657af2a3a3f9a2e36308e92b4dbb3a97b024f4b553
MD5 291c4f182e26e1c7664e568954d507b7
BLAKE2b-256 24e4434866c7d00278a075222b6001cb501b1f457eb473d0cda7c8d8f7b762e6

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 8f9b8d71f3310979a1c1de0a512bbca8fa8cd3e4a6b827988144a19603fb33e3
MD5 999c7ad6feef5e59d17fb52b72e1b2c4
BLAKE2b-256 f3f160440020e4879ac8337b9281e5f28c896a17fa1bae543c04a3185e7e4dc2

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8b9b2a51c2dbfd114019eaf10ab59a523345e344c8415c8858b806501a3ae1c4
MD5 7a35f38d968c9a6bc3e41d23bcd236ca
BLAKE2b-256 46696f5d2f9d03b331abfa0be88c46747e70117093c6f589f51390cb58d469dc

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 439b2cc308eb642cc9fca99b550a871cfa370b57bbe9d2ea519952e853f8a947
MD5 9762c9125487b0a2f08cec1202da09b2
BLAKE2b-256 57c933ab5f88b07839c90bbd1bdb277188977544fbeef86f6d8ea22d49cadc47

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b45f6ba03bb7131ff1ce54d0b979a59190c33cfaa78dc8ca6c3439cbea98383f
MD5 cb7b22ab4b5a90e65bfa5a9520a907f5
BLAKE2b-256 9e0a1bd897ce8ea616e4d6e376d2b2420748f996b9b75c45fc39b79cf796821e

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 07e33215222fef28c54382251388f39200b5e7cbeb65b0f4d850486b4de200a7
MD5 731eb9c0791bcd84479860d90e5e4a87
BLAKE2b-256 f2096368e4f36e99405bd00a04f4b0718823926c0aaba584697e848377789a93

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 757d57f2094704e648fec07ec790f65f17f516e62eabcfedab1e8027db597de9
MD5 a01ccc4dd1c46b30f7faf1a420f65f8f
BLAKE2b-256 d8933b0a65bfe234f275c8c01b1a0bf87032c3261dfefe7d7b718ede9594e1d3

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b700b79f8720e45f8359d0efdc55cb6e546f7477bdccf0cb3ea541810f8dd299
MD5 9c29be510172e32d4ab2a4af24a6f6f0
BLAKE2b-256 a7bf57a77820cadbfca8ec1d7a3c2addde883f60999e4e022e618a3550fbb58b

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 5cbf20d173f9d400af605d4206f3201ec8cf22a9c9c820f1c52befe8e8e90bb1
MD5 eb7152119bfcc3eaeda68775498ef943
BLAKE2b-256 d145390e8dd4e77bd656d0c7a4aa7a30d8f2517fa27fdd497fb49361e9b65b1c

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bea09966a36a2a6a741cf65ce62f08c5196b5722488106d8241be148934ca38c
MD5 04bc99a7d8af3b45bd5a2f74e6ed87bf
BLAKE2b-256 34a76f223c05b7979cb63f87f4a13047134b127fb3c68fa8501c463479f63566

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 fcfedfcb08b1ad17b5ab84aaea91ba274f470ebb564bb41b04c01f166d42806d
MD5 bd6f05b462d8cd6b70d31030116042a3
BLAKE2b-256 95d689eaf1d540ef17553148604dd4d23a6921020864589604386e2af2767b8b

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bf0543c9bc4e2f042cb66f9d1301e168577543cab4e4a28bae735322129a75f5
MD5 3a0386ead3d5fb22893d7cce24d9348c
BLAKE2b-256 ec3eb62ef81ed86d7ed269f1fe20ac36549af66f454a2840faa72614c207321e

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 053f8eececb670fd54b25b504f409b932eb53551ed2437a6eeb5f19fa28d9b73
MD5 17ddd37c306884c076f1b79da3cb2be8
BLAKE2b-256 30f760641a589ae6a7ec2e7aac7f4f71f982e9f59fca7874f7140a276cb8719b

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e54dc42d4230e974bc3022edaf1a814c0d5de514283a4d059aec7fe36bf06a9f
MD5 a6d0445231d08ab777bac57e285820b1
BLAKE2b-256 c621ddbe139cfaa2ba321b286d14ec37ba4f82b11331b3467ad41abe5426d394

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b15beb7f75f14755bc4f906dc139687fecdda7c990361d30686cc1f401f86d29
MD5 313dd2f8b5f4b937a5b0f1223c2fe175
BLAKE2b-256 aa7aa2cf5402525d0a4b17e546181dfb29e33afa50b93ebb3a880921ba4d9ef0

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: pyfastlz-0.0.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 f772354a81ffd56a3e26ee9139d05ff6ae85e43190670738a446e4d10e4ef340
MD5 db0079dc28b7817a84c93c22866ae12c
BLAKE2b-256 8fc8cc0769c2e5f665aa91639e6b2fc68809e58ae2e1d26da3ce4b69e4b9f98c

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1c3846af76b31fe0df6c08b99d5d3524839fbfe4169a6a4b74a8a1d1ce438934
MD5 22f6817c590c0ca901758086c96c5b3c
BLAKE2b-256 a8264868f4aefeca4abd058584a65b4640ba11f2d3ed9a51963246444aa943c6

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 267efaeaeb14a3ff3eee4d308f6bdb5a4efb8e6a424367560dc71309f8823fc5
MD5 1953d05186ec8ad347aa943a2ce3ae8c
BLAKE2b-256 96c15ccecfa964c3da8a8ec5f18a580603f69f5f64a0e9aa51fba90fc8058e74

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 caea441b923187e9064b7f793d9186dc51aabd4a698dd92ef5218d4fec747659
MD5 5d731a6ab03eb4191f479ad22bdf3d68
BLAKE2b-256 8ce6e438658151a38db4e7a1c24e5731eff44f25cb4fcc6ccd48727b4602d49d

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f37380fff28226440ace756b52fe71189c4477937e87bc4ec654f6bcced00ac1
MD5 7244a6d57d5d06a556d99b4fadd49d16
BLAKE2b-256 6914c7d20f56355cb36647c756afad21ec535e704044307f954fb64c1a674f7a

See more details on using hashes here.

File details

Details for the file pyfastlz-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyfastlz-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d0883cbbacfe0f61503a5391c03fa6d7b7dfd5dcd208dae9b870607ebf65d06e
MD5 d80865d8b168ab1d3e89e2ca83bdb956
BLAKE2b-256 0d213c38554ef85785aff6110d7d5f95f954b50fadd249eda5ee005cbeadda05

See more details on using hashes here.

Supported by

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