Python bindings to Zstandard (zstd) compression library, the API is similar to Python's bz2/lzma/zlib module.

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (The 3-Clause BSD License)
  • Author: Ma Lin
  • Tags zstandard, zstd, compression, decompression, compress, decompress
  • Requires: Python >=3.5
Classifiers

Project description

Introduction

pyzstd module provides classes and functions for compressing and decompressing data, using Facebook’s Zstandard (or zstd as short name) algorithm.

The API is similar to Python’s bz2/lzma/zlib module.

Includes zstd v1.5.0 source code, can also dynamically link to zstd library provided by system, and has a CFFI implementation that can work with PyPy, see this note for details.

Release note

0.15.0 (May 18, 2021)

  1. Update zstd source code from v1.4.9 to v1.5.0.

  2. Some improvements, no API changes.

0.14.4 (Mar 24, 2021)

  1. Add a CFFI implementation that can work with PyPy.

  2. Allow dynamically link to zstd library.

0.14.3 (Mar 4, 2021)

Update zstd source code from v1.4.8 to v1.4.9.

0.14.2 (Feb 24, 2021)

  1. Add two convenient functions: compress_stream(), decompress_stream().

  2. Some improvements.

0.14.1 (Dec 19, 2020)

  1. Update zstd source code from v1.4.5 to v1.4.8.

    • v1.4.6 is a non-public release for Linux kernel.

    • v1.4.8 is a hotfix for v1.4.7.

  2. Some improvements, no API changes.

0.13.0 (Nov 7, 2020)

  1. ZstdDecompressor class: now it has the same API and behavior as BZ2Decompressor / LZMADecompressor classes in Python standard library, it stops after a frame is decompressed.

  2. Add an EndlessZstdDecompressor class, it accepts multiple concatenated frames. It is renamed from previous ZstdDecompressor class, but .at_frame_edge is True when both input and output streams are at a frame edge.

  3. Rename zstd_open() function to open(), consistent with Python standard library.

  4. decompress() function:

    • ~9% faster when: there is one frame, and the decompressed size was recorded in frame header.

    • raises ZstdError when input or output data is not at a frame edge. Previously, it only raise for output data is not at a frame edge.

0.12.5 (Oct 12, 2020)

No longer use Argument Clinic, now supports Python 3.5+, previously 3.7+.

0.12.4 (Oct 7, 2020)

It seems the API is stable.

0.2.4 (Sep 2, 2020)

The first version upload to PyPI.

Includes zstd v1.4.5 source code.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (The 3-Clause BSD License)
  • Author: Ma Lin
  • Tags zstandard, zstd, compression, decompression, compress, decompress
  • Requires: Python >=3.5
Classifiers

Release history Release notifications | RSS feed

0.16.2

0.16.1

0.16.0

0.15.10

0.15.9

0.15.7

0.15.6

0.15.4

0.15.3

0.15.2

0.15.1

This version

0.15.0

0.14.4

0.14.3

0.14.2

0.14.1

0.13.0

0.12.5

Download files

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

Source Distribution

pyzstd-0.15.0.tar.gz (682.0 kB view details)

Uploaded Source

Built Distributions

pyzstd-0.15.0-pp37-pypy37_pp73-win_amd64.whl (280.6 kB view details)

Uploaded PyPy Windows x86-64

pyzstd-0.15.0-pp37-pypy37_pp73-win32.whl (251.4 kB view details)

Uploaded PyPy Windows x86

pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (350.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (354.3 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (350.6 kB view details)

Uploaded PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pyzstd-0.15.0-pp37-pypy37_pp73-manylinux1_x86_64.whl (355.1 kB view details)

Uploaded PyPy

pyzstd-0.15.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (532.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyzstd-0.15.0-pp36-pypy36_pp73-win32.whl (251.4 kB view details)

Uploaded PyPy Windows x86

pyzstd-0.15.0-pp36-pypy36_pp73-manylinux1_x86_64.whl (355.1 kB view details)

Uploaded PyPy

pyzstd-0.15.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl (532.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pyzstd-0.15.0-cp310-cp310-win_amd64.whl (283.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

pyzstd-0.15.0-cp310-cp310-win32.whl (253.1 kB view details)

Uploaded CPython 3.10 Windows x86

pyzstd-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pyzstd-0.15.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pyzstd-0.15.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pyzstd-0.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pyzstd-0.15.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pyzstd-0.15.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

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

pyzstd-0.15.0-cp310-cp310-macosx_11_0_arm64.whl (434.2 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pyzstd-0.15.0-cp310-cp310-macosx_10_9_x86_64.whl (566.3 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pyzstd-0.15.0-cp39-cp39-win_amd64.whl (283.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

pyzstd-0.15.0-cp39-cp39-win32.whl (253.2 kB view details)

Uploaded CPython 3.9 Windows x86

pyzstd-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pyzstd-0.15.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pyzstd-0.15.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pyzstd-0.15.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pyzstd-0.15.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pyzstd-0.15.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

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

pyzstd-0.15.0-cp39-cp39-manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.9

pyzstd-0.15.0-cp39-cp39-manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.9

pyzstd-0.15.0-cp39-cp39-manylinux2014_ppc64le.whl (2.7 MB view details)

Uploaded CPython 3.9

pyzstd-0.15.0-cp39-cp39-manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.9

pyzstd-0.15.0-cp39-cp39-manylinux1_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.9

pyzstd-0.15.0-cp39-cp39-manylinux1_i686.whl (2.7 MB view details)

Uploaded CPython 3.9

pyzstd-0.15.0-cp39-cp39-macosx_11_0_arm64.whl (434.2 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pyzstd-0.15.0-cp39-cp39-macosx_10_9_x86_64.whl (566.3 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pyzstd-0.15.0-cp38-cp38-win_amd64.whl (283.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

pyzstd-0.15.0-cp38-cp38-win32.whl (252.9 kB view details)

Uploaded CPython 3.8 Windows x86

pyzstd-0.15.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pyzstd-0.15.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pyzstd-0.15.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pyzstd-0.15.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pyzstd-0.15.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pyzstd-0.15.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pyzstd-0.15.0-cp38-cp38-manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.8

pyzstd-0.15.0-cp38-cp38-manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.8

pyzstd-0.15.0-cp38-cp38-manylinux2014_ppc64le.whl (2.7 MB view details)

Uploaded CPython 3.8

pyzstd-0.15.0-cp38-cp38-manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.8

pyzstd-0.15.0-cp38-cp38-manylinux1_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.8

pyzstd-0.15.0-cp38-cp38-manylinux1_i686.whl (2.7 MB view details)

Uploaded CPython 3.8

pyzstd-0.15.0-cp38-cp38-macosx_11_0_arm64.whl (435.4 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pyzstd-0.15.0-cp38-cp38-macosx_10_9_x86_64.whl (567.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pyzstd-0.15.0-cp37-cp37m-win_amd64.whl (282.9 kB view details)

Uploaded CPython 3.7m Windows x86-64

pyzstd-0.15.0-cp37-cp37m-win32.whl (252.4 kB view details)

Uploaded CPython 3.7m Windows x86

pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB view details)

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

pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pyzstd-0.15.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pyzstd-0.15.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pyzstd-0.15.0-cp37-cp37m-manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.7m

pyzstd-0.15.0-cp37-cp37m-manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.7m

pyzstd-0.15.0-cp37-cp37m-manylinux2014_ppc64le.whl (2.7 MB view details)

Uploaded CPython 3.7m

pyzstd-0.15.0-cp37-cp37m-manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.7m

pyzstd-0.15.0-cp37-cp37m-manylinux1_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.7m

pyzstd-0.15.0-cp37-cp37m-manylinux1_i686.whl (2.7 MB view details)

Uploaded CPython 3.7m

pyzstd-0.15.0-cp37-cp37m-macosx_10_9_x86_64.whl (566.7 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

pyzstd-0.15.0-cp36-cp36m-win_amd64.whl (282.9 kB view details)

Uploaded CPython 3.6m Windows x86-64

pyzstd-0.15.0-cp36-cp36m-win32.whl (252.4 kB view details)

Uploaded CPython 3.6m Windows x86

pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB view details)

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

pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ s390x

pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.8 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ppc64le

pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

pyzstd-0.15.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pyzstd-0.15.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pyzstd-0.15.0-cp36-cp36m-manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.6m

pyzstd-0.15.0-cp36-cp36m-manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.6m

pyzstd-0.15.0-cp36-cp36m-manylinux2014_ppc64le.whl (2.7 MB view details)

Uploaded CPython 3.6m

pyzstd-0.15.0-cp36-cp36m-manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.6m

pyzstd-0.15.0-cp36-cp36m-manylinux1_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.6m

pyzstd-0.15.0-cp36-cp36m-manylinux1_i686.whl (2.7 MB view details)

Uploaded CPython 3.6m

pyzstd-0.15.0-cp36-cp36m-macosx_10_9_x86_64.whl (566.7 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file pyzstd-0.15.0.tar.gz.

File metadata

  • Download URL: pyzstd-0.15.0.tar.gz
  • Upload date:
  • Size: 682.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0.tar.gz
Algorithm Hash digest
SHA256 bf15a39cb3c9b662775e22ffa8c4da09fdde6a15ece5e0ed710b6d3b4329cf36
MD5 5201c51f50f1e43d84ed622d97af96bb
BLAKE2b-256 ca7784e0fac0c3b2acbef0284d559914812157c60ad17cd74a38da4d9767d1ae

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp37-pypy37_pp73-win_amd64.whl
  • Upload date:
  • Size: 280.6 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 3bcdd801d8582628b81b2db549da1a24961ea007d937b65bb5ae06a6d2bcca0f
MD5 6140c572bbb4cd65a5a868b5290636a4
BLAKE2b-256 6d41b3f2e201e327f55c5ad949b2548fcf15fbc0ac5656ad8bd502c2e17ff263

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp37-pypy37_pp73-win32.whl
  • Upload date:
  • Size: 251.4 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-win32.whl
Algorithm Hash digest
SHA256 b4d63d77d288cf4ab852c033e942959d9190e60af45fef625b8cafb6ea6a8588
MD5 49e5a6e59bf62f31b76eb81fae97ceb4
BLAKE2b-256 1de27a0ef0b6e248ae68da962d788fb70ff46403f5717f0b6b0acc45b3d30d50

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 378b23b06334b5c6e7accab63fd71fbffe23445ff343420bc14b5be9e0a6cc88
MD5 b1b3e04fa45197bea5973252fd99baf0
BLAKE2b-256 88ed8e9506c2368529d9ca787307e8e2702950ce873277d73cb4446b7b8bd123

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b5cd27e32b12ca5943fe945705433d77c81dcaf7de3f2c477cd911d18ee2e8c4
MD5 12d647b96aa55e72f4b9c817623dc5d7
BLAKE2b-256 1462d73dd4915cfe6fb98e6fdb69702a706c227f7862d996aeb0b07b6dd64747

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 9b319895f80aa566aa53d91071cc279ea599b1e6058e4356ecf605ea3e4ee085
MD5 b4451e6bc71ea5c9fc4cc1488865a44f
BLAKE2b-256 e0dae7843994257e1891e6ef389c1a4af44962e1872ed5e7aee1f87f7637fa95

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-manylinux1_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp37-pypy37_pp73-manylinux1_x86_64.whl
  • Upload date:
  • Size: 355.1 kB
  • Tags: PyPy
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5a8deebe51625a03c2a20dbac15bdd6513bd1fb3fbcae2a1439fb48a15818ef3
MD5 3ef1e438d50b6b97a6adae948a7f0fc4
BLAKE2b-256 ca7b1aa2c6b97ba1a03440ded6911ee47cb1ce910295e09fcb1b4b76a720e000

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 532.1 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d5c0f1079762d8a1b55cdf75579f7386d0f3ceb1b027a7796d721704edc60cde
MD5 fce7b6e18263d13b7357b6dc9c7cbf11
BLAKE2b-256 e1267634d4f0e6a6d07bf48470a31f0edefaabb83ea1b714f0841efe93f358dd

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp36-pypy36_pp73-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp36-pypy36_pp73-win32.whl
  • Upload date:
  • Size: 251.4 kB
  • Tags: PyPy, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-pp36-pypy36_pp73-win32.whl
Algorithm Hash digest
SHA256 8e8bd0efab98a11599cd043633ae09b147fef07b2f62f14ae9ca97dd9f0ea2d0
MD5 b544851fc4f53e50d855824c5d5ff6f9
BLAKE2b-256 e878723824798eda54d05ed5e83e18db162fc0b68e8eff967b57d781bcbdff9d

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp36-pypy36_pp73-manylinux1_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp36-pypy36_pp73-manylinux1_x86_64.whl
  • Upload date:
  • Size: 355.1 kB
  • Tags: PyPy
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-pp36-pypy36_pp73-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 64415c1287c1285fc12f8bbeb93ec9da58b29374f686b4731f89915c960b87d8
MD5 abd7771b8faf98db6813523b59a9df55
BLAKE2b-256 76eb54b4f964d9ae7736bb37bb57e832ea2c9de927f0c7832a63bd089b61937d

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 532.1 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-pp36-pypy36_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 88594263538d32abeb5f642df3327a7234d9f681c856f6c1a95213f54b5afc48
MD5 40c695cb3f5df574c2239cea71a08f35
BLAKE2b-256 526624e6baa3a0a967a8fef5b67d5fb0b2f9555ff9b8b64a7250ec91034da9f5

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 283.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2482dc05e93cca6e9b0037db4325009a8aac72d6ce63691d02ee5f7ebdecddf0
MD5 6b0e199f194c5a4b33140b248dcb9827
BLAKE2b-256 0b7247e36d3af38bbbf41e84b88849c3b535ec363e01a6f946779135443122bb

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 253.1 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 487e65f3470e085d3a05d2dcff0f1716a5886eda7f164f05c2a8bc50aadde325
MD5 ffa9384950495f1f5a55c9e4f944b688
BLAKE2b-256 4f0d2a39bc15eb9776964b197237e24d5727bb9b7b6d1377b882c5fe040391e9

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c9a8fe9a30fb7bc0164c8137c6871f194f7c5ef4949967cbadc1bf6eac6b8d10
MD5 3321aecac4bb5d3c8482b584ea91e8fb
BLAKE2b-256 527e9cb6db04ec8405dcacff18173b8e04b1636a1caa7582bcdf708d303e8966

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e03db610378da59681b39c7e23c51b24244fdcb65c02ccb2e6b9a6cb736e224e
MD5 aa99352abea952db20c523b02b0f7753
BLAKE2b-256 1e327c9839a334e31b716282b830e4171ba0a022132c129ee95d32a4410bd802

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 2afcca9bfe2dc47f86ef98bddb88b50f2aea90b22415d6062e779db3b7bc9ffe
MD5 7c31bdf8eddf90a172e7c40e7deaf4b1
BLAKE2b-256 3a802490bfed5a8fd00ad802c3af7117ba6d5537a8ed4b5cba36f09eb70e1d94

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b5c0b96feb78e47638361306ab9586a2a06c8571f31cdcc8abbdf6331f4c80d1
MD5 3f1861faafea56b6474f762378126474
BLAKE2b-256 da541c7918b4b1bc03a727236e1b8c3f4747f9f3de30fe4d405100bc28de696e

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ebf32955f89e36510856b8acf536d8d7b907cec0cb37cf6b057e3863a683259e
MD5 bd7f4b378b57dbde5747ab0476f135cd
BLAKE2b-256 d9d2756fa0beaf38392e633f2b8f3e40d9f965b1188c2ba19fd34af4901d6ebf

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 408ff92eb913fc8abb657542df55ee8e6cf7c57ac668c3015c8447ff35b69e8d
MD5 597df7f4ee12e6fe4da73efe904fc794
BLAKE2b-256 5fec9525e6e995805faefc1f5142b65ed771293a96a25de1c6f43d5da9e3651f

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 434.2 kB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 df8afc7c823785244c5054281693d7dc701cd5d141cf3539f4ca723c1b3a1518
MD5 04bb085cb89b8d48b162d09d12a7a9d3
BLAKE2b-256 4c61d7329ed119c7a388c8cf808fe7e200727165f95a62debe01d5303f218653

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 566.3 kB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

File hashes

Hashes for pyzstd-0.15.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9e9bc923f8fa7c38974f835cdb4041f2011343cd90fe69d8b46b53ee8088479b
MD5 c31e68ad04608d3fe9746f7ce57948b2
BLAKE2b-256 62ebb5ed738495071175648dfba1c9613f3fe595e5e58846ff40c60d7f5723d9

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 283.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 6943c669a865c6f4b4e362afc30b05bdd297ff71af122b9ac5f54c43cb509b97
MD5 a9a3104f3bfa8fe15e55ade53faec8d7
BLAKE2b-256 76cd20524361b3d3fdd7f952e326b44deee1e61525e5d263b8d122627451598e

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 253.2 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 f8fb7c350bea2bed99f31d78bc73e10599a12e59980084e12ee867ea1a88dfcc
MD5 913fe811e854161e45b0d14b6bfb2ffa
BLAKE2b-256 3e38bd15011b799483b2bc5c6a5314016bf8e49133134554063b758d6f314aa9

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3364701e433767c821d9744771ca3535337ac133d5dba835a1ea2b8d5d83a855
MD5 07b4939e2a18a14fbd1e7e1804112c6f
BLAKE2b-256 7a4b83f3e1d89a26115bd290f434e83d65bfed21ee44ca5bba3d2ce710ed2479

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f579fd724e3cf504b5b610f743055ea39ec830287a5fe6e483af064baf864ba4
MD5 f75443c09568db0e0678eb006a4c4db3
BLAKE2b-256 3b22896e011a4119bc0333f558b491d0791174cc63e06b66c2b5d9688404ec35

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 9467077322b792722c73de9b1a9df4f982adbffcb39d9f784b36148ce7fae62b
MD5 4ec6878e15565f7761f3887b1938509b
BLAKE2b-256 1bd1f1c180ef20e4a3c1eceecc3b37ae196870c3a0beb2c6e7b7e4599c524cfd

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bb7826f8805e959367b4cf328478ed3dc4d6d1d1d38b0d9e1b9ca6f324229cc2
MD5 a139af044bc2f91a90336439947f56ad
BLAKE2b-256 1bc4cf0f654697d33dd96ccb042f30372524e4727133c5a1a3d115ad301ef62e

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 312c3b8e80edac5650f751897b8d4126f0950ade83f30c91ab5617c2ce936b8b
MD5 e00c92399c34a66a787df82a4583617a
BLAKE2b-256 3dd22466bbe41bdd96189bd01bd41a87b2c1df0a10d6e1e1201932e7dffc362d

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 70a79bf1d5524a92aa5f31a092e2e3802bc4350dd45e0e8f3ded00a6ef625df4
MD5 b9891791ff940f6a6c83089dd55f134a
BLAKE2b-256 ee8fd84f325e67a4404c1db3566fc8c2ecf815d2f9a9486d796e60f7af9438dc

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4bd46ef3d9d9e7a884e315f66095f18adc49ad9aeefdf5f671b454d4ef90ad80
MD5 1c9b02bbb58a767dfde2f1812ab86680
BLAKE2b-256 dfe442f411ed180877ee4165d15e9f37ad11705fa6f6b1aa755a541c80a82318

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux2014_s390x.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-manylinux2014_s390x.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 920c62cac0a25551db9cc5dcae6d45409fa9a1c5e841bbc4b737f915521df881
MD5 9bd0bc4cc23b55520892275f4f25a003
BLAKE2b-256 a53a81022e72ffa6d57940bf827f40cbc4b8dca30ec1fc85292dbda40ffbbdf3

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux2014_ppc64le.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-manylinux2014_ppc64le.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4fa8f95531bbe253537f3cd94a2132ef4fb80ad0cdbfb0c984a84c329f53db21
MD5 96f87ebe35efad3414e098b07414f7ec
BLAKE2b-256 cb63319291cd88ce0f085484314f396cf0ca0a5c9026ffb7b5ac2cfe4c81c1e4

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bda406527344e0270e9932dee261136e71d8c69ef7ad9d2f278c6e0b1c1e9603
MD5 472472827d32609f89e61d99e30dbb5c
BLAKE2b-256 3cf2512736558c21914b28d553987a7b79a914aee929319379893992a5fad42c

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 90972b54adf91338e08c872ddeab38723ee023956812f4bf53e4326cde20e94b
MD5 541d75449821002208ee545362d28395
BLAKE2b-256 40b1f1162fcf21f3128a141836238ab76985a8b4456ef6d2648511b29d024651

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-manylinux1_i686.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-manylinux1_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-manylinux1_i686.whl
Algorithm Hash digest
SHA256 acd65c2a81b7e1be929645fdc0288687f15fee0e971b8d74537aa328748bcb9b
MD5 c55ba8b8df40d1a0eac169c4e0d7d34b
BLAKE2b-256 c13d64bdfcd75c590a640584f9242501e025844323ca86b7aa2d75f235db006c

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 434.2 kB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7396ef000b94ecb90b04075f1a35051b014bff903d478f522e30b774c7089b4c
MD5 804e93a769d4813a44e7f2cdea6b2c76
BLAKE2b-256 04724f9904bd05487bbe5a9caf77ef03895177a2b5d4ac8ca4dfcd655431c57c

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 566.3 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c0e0b399f02804c9bc495f4349b4a49d609a1d8db6031bca4b5b964de7b05411
MD5 16ee9134dc552e32fa8f1674cfc234b2
BLAKE2b-256 35bf19578f3fd1e96fa698ab8d24351ed49a5a6022180458bdc433206de3e144

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 283.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c7fdd94ee48d4b374f39b5d42de55ba205ce15374d24d1f61a554ec478f2e3da
MD5 59072991434e5bc32945939ab6977978
BLAKE2b-256 03f0917200d4de3cba23f6ffd9dd4682ad7a3b5b205f2b2c6db3b4a7e22017bb

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 252.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 b630bd5a4b5fb7d459aec7d9dd3e3a6d45777b727db43066889558e20eefcf23
MD5 e2a34d0c7f5550aa2f5668e40fbdc2e7
BLAKE2b-256 94add884c60c0588b53eaefa33d8db415541f6d30e1d6f1ea8ac3fa70fb9ad54

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b328fb5010fccba8300829565f2dc8434036e4152df4a7c07071d4b497edc861
MD5 b23f36233a6838b3f7b4ecb39e58f7b8
BLAKE2b-256 f3e3fce0e4e64fbd4c6a907db453c548662e3de34c1e225e080b1ef5842b2d6e

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e31e51ff3ec8df8f3fa9e17265317730ed5d5e1b406d07b225184d23b9c03685
MD5 621f0f82f49cbad5520da887888ec730
BLAKE2b-256 7082e1605368d8d00bf84b62636b718ef692a5921b3c94581dee42724c1eb972

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6a8f909f12eb3cd637bc5a4f091fef27d1cb8f0394b3206c9518a70b4661bf8a
MD5 340e6b09378b338f321f4b303d4cc2e4
BLAKE2b-256 9424b835b4f1f02776a2e639f5559d13a9033bd840c82304e6b50e7793cba1b3

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 113eb2295f08da7d5db7e215c8e3027764d96a511eac2eb1f24110b7da7d1c3d
MD5 c8a7c15fc9a8b1eee98e6cf56d6b6175
BLAKE2b-256 9757b4d9ce42e23ad34539d4cd782a87e72e36312884c540413e579baae455e6

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0a6ff975482600a09526638d22c4db538bca5dffb46cb4ce8ef874b222d3edf2
MD5 abf80b59e0bfaeb90b2fd7cbd52d8be1
BLAKE2b-256 3d9f88681df072848aa7b8f14b7d0bc7cb01699344085ff191a32060e7569314

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 89920ca71841d48b884b5ed7541ce8c2f6aa66c7f2f94575e14617cb6e507668
MD5 e1420d2d2a3ae8fb7ce2f9b3d4083abf
BLAKE2b-256 01234cc157ae968e0e75bf54b1d8f7950a7fe89d4d8b36b8c537b579686b3a06

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 267ab8fc5e77c1f4120207894459eb8da6050b1a630afab9518ccada81490efc
MD5 d2e2719b86b09af5094d7f0c27ff35b0
BLAKE2b-256 20be9c3863e97bf469310b8f141a3c56fd367cb8d0e8abb0695b3b0a124d5372

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux2014_s390x.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-manylinux2014_s390x.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 5c5268147a6e9e0316b051836031384083a8906673bf8d91decf265fb9a75bea
MD5 d479638f9b4f14388793f8e424cdf2a1
BLAKE2b-256 e65f44310ddb1c9d6691722b1989c2a1001734938a0f1cd8bf79407f77741789

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux2014_ppc64le.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-manylinux2014_ppc64le.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 02f82a640e3f5c3ded5aeb22e9dd1104fa4558e1ab3222438f5d71d3f1053475
MD5 fa55ec28631702eb19ecd6af22f0bad6
BLAKE2b-256 0cfc5876068ea1186cc2d0f733a0a852b83c3890e222d8ceebecda7b296e24a2

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 baa8fb75ba8bd7aa28dc5c5254c2014befa42dfe537a4f189499328e66f8db83
MD5 ae54ebed1e524ebb824c7a2816bbcd90
BLAKE2b-256 5fb5677bd1ffd80f9819cfde06e0e67e0f2cee8430b6d4de03625bb50f81fc0c

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a92071a39ebd68447f45a8fb26ac0164193f5ea0629ade4f897e163407f81b7b
MD5 28e9dffc62bfcf3ca61fe308f185a7b5
BLAKE2b-256 f0cdad8d96ee552716e25ec60515f5d57c70aac1f45b00d9c482333a6b4b9219

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-manylinux1_i686.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-manylinux1_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-manylinux1_i686.whl
Algorithm Hash digest
SHA256 f7fd633774ddd7c30850abcd67c7b80d29d34eb1bdf25ca90b3f51d38e7e888f
MD5 ca0d547aefad60bd7097da2a3ba3161c
BLAKE2b-256 1734ed82376590950ca92b8b9900d9053ee2d04ff2c8aa77cb0214f9b2a02536

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 435.4 kB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b0af5eecb4fd786b1cd7ca4a3317325c076bd598ce01f21b77a14fabc29af69a
MD5 08255a8131a8b295bb87788acbe09dee
BLAKE2b-256 fd8e21d04de6d4c790f18309b447c962ff7c39f0113dc47d73c5de43eca4039c

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 567.0 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f3bb634c9d058ac844347c727706e8503d3583c494f229b619f8b5a9a7b08a77
MD5 34f75365dab7e8fd221d3f14e755fb72
BLAKE2b-256 4a0e3207753f98604730cb658c766dbd4645e90d713754966a68aa10d4d7007c

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 282.9 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d2b377d3a9905f8e69bf3a3e02ed22df6c3c44e06ee53cf2b8424d2948d4d3d6
MD5 7860545e148d60d82bb122acff84aa44
BLAKE2b-256 a971e79050ecf149532f8d5025c819778a4d01b9c340c1449ef705f7e7a725f5

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 252.4 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 bc2be271d2ab4862e1b8c0638a5455fc7da6aea9249c9ba83190a591b02b179f
MD5 33fe38765d2aad8a42a338655754d2a4
BLAKE2b-256 6ce75dca6921a6ef0dc1ab8207ef3dd99f2458eb10c2cf4a28e95f46023e8b33

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0eb613cf4554b0b02539d45a5aefb0344c2d657410710bbb8295953b04fb9d65
MD5 22a5f168d81b281d86a0284bc7ce84c8
BLAKE2b-256 a1a36b1725b2b1d3232f445bda3433458f864b4d9df615407fd4bd7d5e292fc2

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 96f8b228fa2e8ea85f8733e00cf5f64930ca293c2c087ea37a4719844fb5ea52
MD5 d69be1b85d8efb3187063a9e23108d9c
BLAKE2b-256 f745ce96c605df63db8dc825b1c6d1cfdcc7ab81c4b945c2d4f34c6e41483990

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d6b1d0f6f2a9dc6a2131d0d97553531b4eb4bb23e368d2f092893cb15afa488c
MD5 6552d59456e47552d9f06c55f766e1e4
BLAKE2b-256 6b7538dd66c5439841725f9078469b06bc3013c517714de7b1885940e3a460cd

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6686f0d6683779382b17956c49a104ebe79e4c200c34b17f228bc659396012f5
MD5 030a4b513ee0823ddfb1320f1304a7aa
BLAKE2b-256 55fc6d13ecd6cbab41bf4fdc6bb841880bd72b5407c96b937fc6f92ebe3f1e6d

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6cccd376faf5f0078ce7b15a24936278661ad54e34d90f458b6817511147b02e
MD5 e05f4b8e926d2b79ee983df72feecd51
BLAKE2b-256 91c3dbd02ac8e687fa00f66b05b54b06d12c93f6e6c031ffca7520c216a4ec02

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8bcb0490cc3b511dd545785cf2369292e2795cf794afd10634b78179184c974f
MD5 1bdb6dde623364341ef0aabc19578190
BLAKE2b-256 4533d366af819bcf9d54d513451e5d58c763864e055c3e28119260efaa60f00b

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd5766d3d42f3dab476d5935dbad6f2c9c5a666592112a65b1efac7ac1279e03
MD5 2f87f760c1c6b3eff064d043f209bc36
BLAKE2b-256 f41fecde984d5b81980a2804c0aa538a3d85c0d809068168ebe24b28c676d522

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux2014_s390x.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-manylinux2014_s390x.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 caa3d597f30932ca61978ce4639d1a778ac9a40322e7fef644895fdad8cce8b7
MD5 eb4ebaedb157ee51ff24846b783c1ed8
BLAKE2b-256 06386c9e79113bf86545e4907cdc0abbaec0d832c3fd8c8ff3b223870c47f3ea

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux2014_ppc64le.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-manylinux2014_ppc64le.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 69c027b70c98f41fccf7fb15d2bcf3f7525c8511b3ec1a37a39c76d8cb48f6e5
MD5 cc636ce1b3bd499cb33af1acd670964b
BLAKE2b-256 1d54c47101e2e8eed56b2666136797beb73c5167a195f5c83a56f9fd7943724a

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a392c3c41ff565ef653e0bc07df81495fb02a271f0f3e4b8c94e4c31714d99ed
MD5 180cc2abaefafbd36cda4bc6abf2dff6
BLAKE2b-256 4dc87f55a97e7fe36c42ed9647eca8ed7b4c501077cbc25bfdba6763f6c9de69

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b5b26980c6e90edbcb20e297440b674f9e95161327d13f1db75c96ef2c8cb798
MD5 ba47d77270ac03a3d78a806d252d3b8e
BLAKE2b-256 d0d7b71b696534737f5c82025ba748d19e280e2cd5acea46ca66ef3d30b5f098

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 ff81206a996354681db861e19686c4adccaca2ed9f7dab46a82bd169cbafdb2a
MD5 a67f872976dbd5709169e4b856b391a5
BLAKE2b-256 c75663d752164da1bfc2d695bab0d76aa05417e99c7e57d255e3697a2a0e7728

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 566.7 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 81e2af63ccfb8f32fc9e101cc12d0802e1faa31602640f918c6188bef5a9f7b2
MD5 c226665531e00add1646add5b3f9517f
BLAKE2b-256 1eb7c8e44c4277afe19d436fb0a28a385304358d9564ef1cb047d794286f1659

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 282.9 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 56aaf022220dff1ad70be4f252d912b015c2d5542845161059ea61ffb1ce1eba
MD5 d5c341860cc09ddff9921de0f9dd1e8e
BLAKE2b-256 3ddea71727f934b620004701fb6f5fb96fee92e6d9e477c646bddbbb8b2db115

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 252.4 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 d940962c3a9cf3552c26e362062ce4fdecae524a7edc6dc29c0cd7ff3aedf944
MD5 072330fe02c986c56bec945ac7f0cd3e
BLAKE2b-256 6eba1169d11237998fa6fdab38824736bc70f491c0c362dfdbc209505d30ec3f

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2d964e8eda052254ca32b6af607f9c0280744199eea2b20d71f4bdb227cc9798
MD5 fbca4411ef387fe998680f31de6a5e15
BLAKE2b-256 bae25556528bddee09812459aadc5aeced4d0b609ad72f5e72799a196b418e93

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 757a8cff4db24af55c62fae9d3405c95c47e2a353665233ac7874fa57003be4e
MD5 22a42992799df01fdf9d2d8a25d58cb6
BLAKE2b-256 c28fc83af5a8749a7e46d2815758455965261eb3ba54a88e0da9abeea29551fb

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ddacc83b6d15a92c2400d94fff811840db70198bf47703f038b803669bf6afe3
MD5 10df35e564e9d796cc4737809372b61d
BLAKE2b-256 7c0dd28876ddb8c96375de65a4bb568871b61012449aacb606893b6cb572eceb

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6bbebfe61d5ded958c560b176c229eae775bddf53c48ae19f6a140f580ad3d23
MD5 1b0648e54a575acb1adb3aaec9fbde91
BLAKE2b-256 d60c95825749e18437e20a7b8d6d6721c86ac1aea00484d3f5852bc9c6138045

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 468cbfabaae1526c7a72d19749f72f74a56cdad279b7bd2ef6cb7f2a7ebebd63
MD5 f9784aa606fd0194d8b82daeb88ca0a3
BLAKE2b-256 376f55a99f52ea6a8846aec2feb9d69f935d2e555ab77654aa9a07b0c701bec8

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 74867483649ba008f70718541f56a5382de77dd54ab8c6433d583c6c824ecba1
MD5 0ebbdc2e24ec8000bc0d2ee93c0dd393
BLAKE2b-256 7c92fb46f4ae90b09705c21b24f70c7be932e4c0dc626c6b8816210e4fc01a85

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f6eae0079eabcc68795a71f08b6744392d3d5c250dec78036a530a850c1ed99a
MD5 828daac6d465eda0b4adfbabc2fa6d49
BLAKE2b-256 eb031bcadfe94103e9fbf7ef963ba9702a21092b89cc5f98756a5e9913e712c3

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux2014_s390x.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-manylinux2014_s390x.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 fe5ce3ea8ddc923619dcc8896547d7f606bca57e29d5c3844a1ac4e9e789b69b
MD5 9e72f37870b2b791ac69d145ceb9fc35
BLAKE2b-256 052cc1a696d03d744103598926256ce494ad5f1ce6bdf819fcdd449ade23325a

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux2014_ppc64le.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-manylinux2014_ppc64le.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d1da92161fcf4fa63a39ed943b3c57bf236eeb07cb65cda69b6a495098627de0
MD5 571d8c9d352ebe6cd67fb1dc85c1777a
BLAKE2b-256 b77f31690aebe2b6c6de84a49ff8a4060bd034df99b172d67d4a815aab82a3ba

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0adf3302cef786e144f93ae7d75e3ac864c293fd42ba06ed55e7254cfa745489
MD5 b298811b7e218b6018847582c6bd9fb9
BLAKE2b-256 d1f4a2cca501f5e0284f23c3e908f27f45884f7e81882aef1ab8c40527d8b6e5

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 cb0ad58db46cc70e58998900aedd152be7acebe7539cd6fcab0aaa2f57ae83fa
MD5 40fb55f375d58a23d409640b2ee18157
BLAKE2b-256 18840c0a91f083a4ce564ea002c245151bbb8e39cd86dbabf8cfa4a6bb2d7770

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 2.7 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 c5c089b1907954ed8e4f5057f3cbd68b84b90deb9fb4144d1b51d6f960832209
MD5 93b7d2803c6f9c18aadb2f57d6f25920
BLAKE2b-256 751ff770cc36ea18e4f29e7ec88fb3e2eeae18167a4f23d97c80f924915a6862

See more details on using hashes here.

File details

Details for the file pyzstd-0.15.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyzstd-0.15.0-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 566.7 kB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for pyzstd-0.15.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7ca64d2ff042361bf6f8ba6dd8be729bd6270088538854b25a2751dab9023f95
MD5 eca900a20326ab7136a5124d916582a1
BLAKE2b-256 13cafbf12519309091e936d969f91839cb548bf215d644bf82539b9fd4a8975b

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