Skip to main content

Access your OS root certificates with utmost ease

Project description

Wassima 🔒

I named this library after my wife, whom I trust the most. ❤️

Download Count Total

This project offers you a great alternative to certifi. It is a simple yet efficient wrapper around MIT licensed rustls-native-certs.

This project allows you to access your original operating system trust store, thus helping you to verify the remote peer certificates.

It works as-is out-of-the-box for MacOS, Windows, and Linux. Automatically fallback on Certifi otherwise. Available on PyPy and Python 3.7+

If your particular operating system is not supported, we will make this happen! Open an issue on the repository.

For now, it is not supported to call your OS certificate verify native function. Use your Python native capabilities for it.

✨ Installation

Using pip:

pip install wassima -U

Get started

A) Create a SSLContext

import wassima

ctx = wassima.create_default_ssl_context()
# ... The context magically contain your system root CAs, the rest is up to you!

B) Retrieve individually root CAs in a binary form (DER)

import wassima

certs = wassima.root_der_certificates()
# ... It contains a list of certificate represented in bytes

C) Retrieve individually root CAs in a string form (PEM)

import wassima

certs = wassima.root_pem_certificates()
# ... It contains a list of certificate represented in string

D) Retrieve a single bundle (concatenated) list of PEM certificates like certifi does

import wassima

bundle = wassima.generate_ca_bundle()
# ... It contains a string with all of your root CAs!
# It is not a path but the file content itself.

C) Register your own CA in addition to the system's

import wassima

wassima.register_ca(open("./myrootca.pem", "r").read())
bundle = wassima.generate_ca_bundle()
# ... It contains a string with all of your root CAs, PLUS your own 'myrootca.pem'.
# It is not a path but the file content itself.

Project details


Download files

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

Source Distribution

wassima-1.1.5.tar.gz (15.9 kB view details)

Uploaded Source

Built Distributions

wassima-1.1.5-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

wassima-1.1.5-pp310-pypy310_pp73-win_amd64.whl (126.0 kB view details)

Uploaded PyPy Windows x86-64

wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (415.3 kB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_i686.whl (435.6 kB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl (512.8 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl (431.1 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (245.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (281.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (282.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl (282.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (250.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (245.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (260.7 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

wassima-1.1.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl (221.7 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

wassima-1.1.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl (226.2 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

wassima-1.1.5-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (440.8 kB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

wassima-1.1.5-pp39-pypy39_pp73-win_amd64.whl (126.1 kB view details)

Uploaded PyPy Windows x86-64

wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (415.3 kB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_i686.whl (435.5 kB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl (512.9 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl (431.2 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (245.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (281.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (282.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl (282.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (250.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (244.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (260.7 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

wassima-1.1.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl (221.9 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

wassima-1.1.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (226.1 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

wassima-1.1.5-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (440.9 kB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

wassima-1.1.5-pp38-pypy38_pp73-win_amd64.whl (126.1 kB view details)

Uploaded PyPy Windows x86-64

wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl (415.4 kB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_i686.whl (435.5 kB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_armv7l.whl (512.8 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl (431.3 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (245.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (281.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (282.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl (282.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (250.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (244.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (260.7 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

wassima-1.1.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl (221.8 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

wassima-1.1.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (226.2 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

wassima-1.1.5-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (441.0 kB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

wassima-1.1.5-pp37-pypy37_pp73-win_amd64.whl (127.6 kB view details)

Uploaded PyPy Windows x86-64

wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl (418.3 kB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_i686.whl (438.5 kB view details)

Uploaded PyPy musllinux: musl 1.1+ i686

wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_armv7l.whl (515.8 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl (434.6 kB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (248.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (283.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (284.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl (285.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (253.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (247.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl (263.6 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

wassima-1.1.5-pp37-pypy37_pp73-macosx_11_0_arm64.whl (224.0 kB view details)

Uploaded PyPy macOS 11.0+ ARM64

wassima-1.1.5-pp37-pypy37_pp73-macosx_10_12_x86_64.whl (228.4 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

wassima-1.1.5-pp37-pypy37_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (445.9 kB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

wassima-1.1.5-cp37-abi3-win_arm64.whl (121.2 kB view details)

Uploaded CPython 3.7+ Windows ARM64

wassima-1.1.5-cp37-abi3-win_amd64.whl (125.6 kB view details)

Uploaded CPython 3.7+ Windows x86-64

wassima-1.1.5-cp37-abi3-musllinux_1_1_x86_64.whl (414.9 kB view details)

Uploaded CPython 3.7+ musllinux: musl 1.1+ x86-64

wassima-1.1.5-cp37-abi3-musllinux_1_1_i686.whl (435.2 kB view details)

Uploaded CPython 3.7+ musllinux: musl 1.1+ i686

wassima-1.1.5-cp37-abi3-musllinux_1_1_armv7l.whl (512.2 kB view details)

Uploaded CPython 3.7+ musllinux: musl 1.1+ ARMv7l

wassima-1.1.5-cp37-abi3-musllinux_1_1_aarch64.whl (431.2 kB view details)

Uploaded CPython 3.7+ musllinux: musl 1.1+ ARM64

wassima-1.1.5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (244.7 kB view details)

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

wassima-1.1.5-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl (280.3 kB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ s390x

wassima-1.1.5-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (282.0 kB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ ppc64le

wassima-1.1.5-cp37-abi3-manylinux_2_17_ppc64.manylinux2014_ppc64.whl (282.6 kB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ ppc64

wassima-1.1.5-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (249.8 kB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ ARMv7l

wassima-1.1.5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (244.4 kB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.17+ ARM64

wassima-1.1.5-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl (260.3 kB view details)

Uploaded CPython 3.7+ manylinux: glibc 2.5+ i686

wassima-1.1.5-cp37-abi3-macosx_11_0_arm64.whl (221.4 kB view details)

Uploaded CPython 3.7+ macOS 11.0+ ARM64

wassima-1.1.5-cp37-abi3-macosx_10_12_x86_64.whl (225.8 kB view details)

Uploaded CPython 3.7+ macOS 10.12+ x86-64

wassima-1.1.5-cp37-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (440.1 kB view details)

Uploaded CPython 3.7+ macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

File details

Details for the file wassima-1.1.5.tar.gz.

File metadata

  • Download URL: wassima-1.1.5.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.7.4

File hashes

Hashes for wassima-1.1.5.tar.gz
Algorithm Hash digest
SHA256 ba42c785d95fc5a7fde2124d8c8309e3fc0f048d2b660f4b3cf54eee73ba84b1
MD5 dd9ef44224f64dd09451265684b85305
BLAKE2b-256 e7fe8d13d86f0ef756395bce12dc60c306dac8d56fccc78e8abccb1e68f73964

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: wassima-1.1.5-py3-none-any.whl
  • Upload date:
  • Size: 7.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.7.4

File hashes

Hashes for wassima-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e186722d09c4ad741695ebf5785eb7d90cffb4e6674487146d121fbbf8ff1ea3
MD5 048c44f2bcd49e9ba4737eae3abef2a6
BLAKE2b-256 77efa51e6672483f111d4d3e1aaa098052e9164b650f685fcd7d7c864e006671

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8ff5b316cf803f78db3c325522aafb40dbb507f32301d005230f96b8966b1ca0
MD5 e5b4607badad41446cff2bf522ca9704
BLAKE2b-256 e61a1d66cf4981ea8bfb29ab1a34a9864f1b5266dae6b3dbebb2b42334ede190

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 546041a640660e1c7f9007f923130ee425ae55419d544702fdc13d43ff470174
MD5 7c1af23da86df452c1d1e26b4043b045
BLAKE2b-256 4df28a7bb1c9a62d9a453dd6ee6690921d6a42d542f1e1f7ebde9776b5fb3fd9

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 85f391f205aafab6cca0e94c530257df185f1c2a35b0bd4084acb0f4a7355d48
MD5 3bccaa28770594f40c13566ce90366a3
BLAKE2b-256 3920e3e395420abc38180f9af4e67530708ab4292c3e3fba92395555c438661b

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 c8e7c476a6f9d2febe93cba06a72973108edce84cc9bf51b7ee179ba1e2bbbe5
MD5 131d941565af89d0c432d7904a42225a
BLAKE2b-256 6ec537f40132b633c456c243b05db809c1a48f278109d78691d3e78f299dd5e8

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 36a4238ac5ab643be33b088c38b62a16c5bff58f2ee730104fa226fe60a62f8d
MD5 e5c9994c9c5cad8facd05a50b27d6139
BLAKE2b-256 d92e8e727b6a8ebd77b087fbe632e1892af88cce412f9bc66c7748edc8541e5a

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 869e355990ebb01c9cc1e8125f06ab7c26d44cef295e3d3646e70819144f372b
MD5 a8759ff7a00969f0dcb5ea07c09788a8
BLAKE2b-256 a3e3c3bfd574a640e1037f0693110dc498e471d9e5306ff6a83cd0b37ca9bdbb

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 0928c016c9e6c1ded2971779243285cfe82c90882e17eafb071b2fef2c822b0d
MD5 29f1592dbaa2a446ee377035806822e3
BLAKE2b-256 73c02eb00781ad8b5566c5e1f9fa9dfc538b8a59187ba5b0a47a46ae315d34e3

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 30b5558a3ec11f7bfad0b287cd8cda998667741bf809b93b1f790f39e2bf805a
MD5 007418df8e25e4b32e8c7c0adfdd0a61
BLAKE2b-256 4571fa96ff6c6065bb7e06db4be9c0c3213e66fbe7ec78f45c1f910eb2049530

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl
Algorithm Hash digest
SHA256 9872189b15f646ca9cd018aed38a8428d317b8732813e0b5581a290153efa860
MD5 0a97723c241bd25d9dcdd2de6d9bc56e
BLAKE2b-256 2e1a2b0607c15a44fe158b21c0ff4fedfa219361ad161789f6f82e3a08d14685

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bd8fa1ae07827e4dcf52e667d98210499f76db5b1957a7c8b1b24006bbe48074
MD5 96c15a1ec7057be08199bbbacca2f0d2
BLAKE2b-256 5834637e7c06af621608954f10091ded9205011903d413a3c1e8a5cde3f183af

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5bb9daa8e126a7bdf9b2b35f72768cce3d9a364d7db2471d7fe623da0ca9d852
MD5 01ce0953d983282479eb2c77a50a4925
BLAKE2b-256 476fe45a8123447c9613ac96855b71fd9298fa89fb6583c90810a36b52504fe4

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 8dabfd5421b60813e2528e5e46fda64a6eae7505645d1e90797cba9f8f4c2ec7
MD5 7c0eddd416d25859fcc3bd49bc541afb
BLAKE2b-256 0d9314375e6349183d118653f78229a5c544cbd1357d824a85714170912d8152

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fe218092f5091afd9e27ce54ba5edb2e0e7f3a2ed50db54b2ffeecd056310254
MD5 2fa4527acace52ece6ea5b4f5175ef6b
BLAKE2b-256 ea6a1862f99d25d356d2ffa2e8f0bb9126f5447aff9c492526f21ea34ed142b3

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 a35ab6fbe5d5bb5345fa0d8729dcef22e5bbfdbe1ce67653201e4dbbe9f565b5
MD5 c355892551063b252b41f634ac712771
BLAKE2b-256 35ff0375d50568286b3c1241d351bfa4d51fb379b46f20470bcb649c41e6372c

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 e70fef1a33651b66617f96f6be1ed9f3ba77a5d8ec7378d1593f8c3f20e302f0
MD5 c3a47cc95d1a68095a14d27cc00e5c8d
BLAKE2b-256 b34d666f30197ad82579eac19afee1007880e9b33a30359e9625f7293792ac0a

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d2348bc8498d784f9eab81010d01f75337acf0e97b87fae018077f7d34131786
MD5 b0e842f25957e25f827e2fece9eeb2ca
BLAKE2b-256 f410890ad2b535824bc3495f67319a1a1b5798ee37b00753c2088d6eb9a0ce62

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b6eb7b623e9643604b3da0bf21524f44c573c6cd2c52c7943912aabf32a2b71d
MD5 87cce3f955cdf7f182d1e3139dae3c4a
BLAKE2b-256 e6e7dfa77372ada58fa7a1f609e97d7b9084e4d8ea9247b77095cc3ce6eecf8d

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 41316e1beabd9ba55c9b0c8e81d756962ff9be8590fc129dd7e07c758d6d20dd
MD5 bd5501caf2ee2aa5b808d0b6fd1cac2f
BLAKE2b-256 32bd12ea18c9bc42e9b170c4b0a653827d177d922ffc28d1202a16584cc66851

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 dcb80facd9e399b84b6d9600da588bc7058229393b684445e3eab57d2637bf53
MD5 99a03cbed3409c5b947910da35f3f5d8
BLAKE2b-256 06ca40e557531f11181961d1b5ae2ee032d0a94a161b73cd87ac800c3679190f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 6ab322d563bd8c902984e75b745defd295d8989575460b433912041eefd2dba6
MD5 b4b9de32d2c19fcc249363db06456e76
BLAKE2b-256 25bbf7fb617c8c4d828912f62b74fd75215ccce97ea385d3c3eac073bcbe1d5d

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5acb6505560de18b3e55eb53fdd5551d8089d21dd287971117370b1cf5940209
MD5 7e8360d292854c0005a664079d78f0ce
BLAKE2b-256 78da6f3c8e3e7ab6e32156c08b55d9e6d90a416afa75fd58d349d760d03d6c41

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e8810226f9ee889009182ccb91f04754652c50370ec6a3bf77e05c3239ad64e7
MD5 046713b5a742e2b65d9b1a673ba4cfcc
BLAKE2b-256 bb5a1d0629f81abb609a61795508a10d1529aff878a9a590a38677539a43edf5

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 589b62e50c3d483ec3b6bf3b215adcf363a0d04bdc12be2b62327d5b0b76984f
MD5 98ea6babad008cc8a8773f814739aa8a
BLAKE2b-256 a2c8a13f7478e07f9c239042f426507aea45b5ea0a7c84945e02987cc9b9a3ef

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl
Algorithm Hash digest
SHA256 20f0e292cbbb1235ed327c2a069184c543f0b4cb08a73c6382ba86f890a08322
MD5 c287dc1764302a1746d2aa7254f70d4b
BLAKE2b-256 d34cea511dfc93632fdcce017823aa8b6e1d5d3b3b947ff9e4f6343bb7c0efb7

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 238192ccdcd5bf527d71a26e2565078c4a5c8b20b1f556411b3108c2877eb6ad
MD5 42bd5d4ea47e054d94846c750d5551cb
BLAKE2b-256 a7a6679f12f05d677f54cfa3c0bcc4d26736257b82c2a00d93d0389a062e4c83

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a503934bcf23bd8cb843c77d0c641f6998fcde5d73e3193f5572a3f962155255
MD5 bf8b817e17e9950ff1619ab5e94ee191
BLAKE2b-256 1d56e96b84fb82c1d7364b4d9cd838008c261a89fa50f1f9b1c2f80313c268c1

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 47ad37992a2307a47a93a3efeb7e1fdd7f63f944ecf8ca72907b663fd28aabf3
MD5 b4ae459cee1a92dc09ac3fff3520c435
BLAKE2b-256 dbf7f1f2e7197c29071ea123796e9edb15b9541baf0c44b34debeb986de3da85

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f522c4bf2c6189497fd4873e7d96dfbad9837645aede47822faafa55e33b72f9
MD5 13f91bf3d78b72985007af5735da9abe
BLAKE2b-256 cede19f60e81dd52ecd9cf9a0c932247c6a750a209662904645d786134b72e9d

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d8dd0f7bd2d73ec9847446fd3af2cd7697e8476c8ac34cf7a5c938493c1a661a
MD5 c5f0674abe82f292e029f11eba342b67
BLAKE2b-256 8d710e98ab461fcc4b58e790a98223a11ab0db0688dbd3b6bf883880cf44bebc

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 d26a501cf5c60c295ebb76f49813b4a207e0dd3c2256eac840f932ea519c3593
MD5 dd9c994b90b4994667b559556ae5861c
BLAKE2b-256 ae10d970711afe76c0367678f3d7b89394aac47deab8a9ce390dfaf4822fdb1b

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 627b684d3da97d655dc5d70ba17f0b3c0a4c46e413172afddf26cb24bae9bf08
MD5 a026064053b0b30f7d7c3820eb8be4f1
BLAKE2b-256 79f6715e96208cec5687f956ead115063d5e2684d5c96e2abfe517c884d6eecf

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ae138b78d39671741d8fd66d185e7315f0e492bb781ebc61e26a8a6d8f1b9762
MD5 d4699711c5cfc97333243e92d9169890
BLAKE2b-256 ef55bdcd0002d5fbc5825e0c17b08e801005763ba0163179cc9ff101d1625674

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 4000d9f6da766a5d50e38b0332ebc63262a679e2eb9befb7da591ae6c2e780c5
MD5 93d7569561c10ffb45c20e51c34b7db8
BLAKE2b-256 e96caaefcfce4948cac9fb9305b66d35fd594b0fb9c04919cdeba866b792bea1

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 dfb2d9a684146f696b90499f2d96dc1007cd2e22a5b2f1f64b30803e127b612e
MD5 f76a57fc4415f0335cca3d7379c3be0d
BLAKE2b-256 bbac6437564eb2f430ca05937440da7a542554f71fd2301a58a4feea39c98cf2

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 62d9927b556395366d9ed18363ed1295d34ba04a04c97d126aa2e8e56898b24e
MD5 e4117b9176036dfaca18b13c2f618979
BLAKE2b-256 3a490ff12bd5c2bbc39911dfeaf664de0f16d87f2dbf0ce1211787d154776c6f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9ad76e4457b67d40f87c16dc905713e07e21c2f348bcdc2d4b97291da0a7faab
MD5 bde2fde82902c9fa41c731ac27271335
BLAKE2b-256 6f7c27a80efd1d0ce384712c4a87d756ed0aca5affeda1cd0336b0e774653251

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 409a00ac4a7289e71e2ccaeb33d85d4d5764b25fd4b70b4107a8709369c5f698
MD5 79c1bfb577d343ed022a6bead430bd77
BLAKE2b-256 a735372a46eb051d8b11159252db2671e573fee2205359a524644eecdeb06e0f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 79bcebf4df4c4433f654bb7f71aed4cfe35e63460c01c302ff59c0a28c848c73
MD5 47ff126d83e67b04b9b83a2e9ac34a59
BLAKE2b-256 5d9e74e3ee3eee63e97cb85a78a3199e746bbfe16254d7acf5faa2c4f0b4c25c

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl
Algorithm Hash digest
SHA256 461ba8303e5222476a5d7dea3a6598901aa06b39b19bbe4ed0d2b6fc013493ff
MD5 8ddf05a583e72969aab7f3126621707b
BLAKE2b-256 1a901c4e6aa46f06b085f7400672eb49756b88eee6ccfece2f3dac47c4343237

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 df30e4abdf02373819836eccf141d1dbab1f80f5a679f70e8cad9378b25f0ad4
MD5 2a556467ef45901b5daa3528188c9c3a
BLAKE2b-256 304f71deb0aab8de024c2fd36f1c0d7c0c17152d41ce94080c8a00ba62c3aa3e

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 633e0b8dc90ed078ce20dcc4c412c674eefc9f9d9a9619811c1e3010e44eb395
MD5 5ade9e6e2c3aeb7db8373b8d54cd39da
BLAKE2b-256 134019f6bcaba6ddcb47d8d461a43b331a82dd96bab3e630c0cbe4afe20d481d

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 34330e9bf85f12cb17ee8caf56ba81555d3385867c1ad0e21479110c599ea0a5
MD5 075d8cc1c399744e48118d6525782584
BLAKE2b-256 338bc218d4f796bcd7627e19553625a7b8c68760786da032eadabceb535ad4b1

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bfabed046d0ec733bc51c472928a60d2cf16b13af7e5781fb34d3613f2293e14
MD5 d5bf81f9135b65bc2043f452eb2af802
BLAKE2b-256 8f0a74cba4bf4f9e663aa356646aab7beaaf5629100b4e72264bcb77b10bc68e

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 34c02c2763d276f11999045b5de02169ed576521e3f1bba86b13b4466eaa7f4b
MD5 2956b9a83c019153ab7c4e21b8729ebe
BLAKE2b-256 942309c2defd6b908a4453faff0502416065592ea686ef281eff366f84d308ef

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 c35ebeb153201e445eed314028e42c946aa366fda7c0a59367ae6d1a16500625
MD5 9bd9e640df9e1f47c1ac172f542d3c52
BLAKE2b-256 e11b1148fb6d8f23acac7ef3b6ab430bef33a30d18dda3b411b3de3cf158a594

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 123fc65724c79dbebfa1086dbe5392739036a5fd1692650298cdd2b8f2ac16af
MD5 41312662a55d42f26a205219d258337d
BLAKE2b-256 8ece17ce1d00bbaf2d6b68f2bc51d0cd265da885b8865163130e4835e4e39e8e

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1657a79f359f7fadd274f624335a463cdc2a747d77c99e1dabf061ad3f43879b
MD5 a697ba592b44c02b02a9786a3e22f2f2
BLAKE2b-256 7e361c8c7f2f368cf6cca09a14d505be348f1fb473d010f8770d98dd64d129b0

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 bf0af65d8985baae796d0ab74a0b23faee439597c6e8904993f6d93111ffb52d
MD5 e2a59e8bad267f001b83411edacdcf89
BLAKE2b-256 f80667ae48a2a0996d71ea6a08c962ae08a0aee7b3b35b8cb6a66fbb15f6507f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 0261b1ef0af87405b0d2a6e4de9971834d7e04a726e1a5e395a7e245f0fe8a8f
MD5 c21392d69d91a88e5828128c71b65b0f
BLAKE2b-256 207378cbbbd293094845ee349d175eab7bdc3afbc14c936f94bb5aaf94d8e854

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 0325bd17eeb874a01555ada77dbdb814599db64e110a35ad9f94946fcf1aad6e
MD5 a1471c090450a37a5e514fe16297da7c
BLAKE2b-256 32694d84cd9ea505f27081bdb8063c3273912d6cf5f6709c8e0b6c1804a84486

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 25ce0157ceca307550dbb51c1ed71b61a67e8a9ba7774ec7e6835f370e766274
MD5 cebd7a243e350883cf087161190adf1e
BLAKE2b-256 459198143865936997d1f6c12da666516beb0ba8254ff8b53ed3344b8f3eeaf4

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 8d60e185d5180c6db214610678d58f872ef74efbdc9471a97dbde0ea115ffccc
MD5 276704be88fbf733a5b4e0236cae2468
BLAKE2b-256 baf03a9dfbc7ba0294d70f78944118f42097ea4646a6c6e9ed4ca7c674292740

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 dc71ae1f3929478dcab3d06a93772854164536e7539799c37862a0aac36ca5b5
MD5 e5e72ee6c2b881e83cc7af4a8f27895b
BLAKE2b-256 63b323decd34555a41c64766481bb309b403f4c6bd62238d12460ca324d9d020

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_ppc64.manylinux2014_ppc64.whl
Algorithm Hash digest
SHA256 5bb131ece0d8811fcd71e781e926d5d306338a6e6f5a9a9bf53c504547d49d48
MD5 36587936b343b34bf0142b97871c8d34
BLAKE2b-256 097fddab38ce4c2672c0b6ffe5889d610ddbdd8563762af06cb3dc804a2d74c7

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 84ed456300c10f911e2f248ae0b165fd45d2fab73e4db94850abda05ced05df0
MD5 e1b19a3dec0ad83dbbe91c85ab6f7949
BLAKE2b-256 a9b54e4f2c98b216b08048a94d5b39dae827f78ad9586ec37ba15918630a39c0

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 48a04dc33dfd44e5d095f7ff4e511733cd7ad3a628d1e81cba1c9ec80d8efb38
MD5 c6c7264b207cd4fc71b9f7c8e3548001
BLAKE2b-256 c436fa865b3fc54abd4658d56f4126435c2c062885641485e6068418b660a53c

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 441d7121571c3a56cfc9809f116b1c2331486a2b5d588743f0f84b6be9f5828e
MD5 14ff310c7658d1e3a2b320b222ca6383
BLAKE2b-256 8eacb7e0ca6d568629a7cf13d54cc7756c1c6c1b5261733101f0f31461e39894

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 12764dd8f66f2c23513a130e034d618a9dbffbfee379fffcb80be7ddf35e2ff9
MD5 882ae7e00dd7543bea65e2f64dc28701
BLAKE2b-256 3abeb3b2809d57711e1c78f3ea363344d0ed7099240c7f246c3be8818ffd3b80

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 39e589fe01bd4460e889caee922dcfd9ac54f53666ed4b54ff89f23100c4192a
MD5 39a32a30e8c96353e69d91a5607a4308
BLAKE2b-256 fd28177404b225c940061c73b6f0618e6e1bbfbb96b837afbb907add26e93f52

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-pp37-pypy37_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-pp37-pypy37_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 36cfbbf4ceb663a3a8e02ef22931ddcbab6be2b8059f3ea7ec14589bf9a996c7
MD5 6dd681b491abfce20be25ee82129a2b2
BLAKE2b-256 2639439d83088a110985af38716c8c76f36d08fa14ec690acc660c392f77fa8b

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-win_arm64.whl.

File metadata

  • Download URL: wassima-1.1.5-cp37-abi3-win_arm64.whl
  • Upload date:
  • Size: 121.2 kB
  • Tags: CPython 3.7+, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.7.4

File hashes

Hashes for wassima-1.1.5-cp37-abi3-win_arm64.whl
Algorithm Hash digest
SHA256 c7258dc82261aa86b288192dd5d4254f8aa63ffb3a1244ffc13511fb25d2fcdd
MD5 80c7b4fc430195fa0d188fa57c4a01fe
BLAKE2b-256 3579e7753f05e584b36bf763e6064d5ac347c4204e3250de1f6689f27788585b

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-win_amd64.whl.

File metadata

  • Download URL: wassima-1.1.5-cp37-abi3-win_amd64.whl
  • Upload date:
  • Size: 125.6 kB
  • Tags: CPython 3.7+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.7.4

File hashes

Hashes for wassima-1.1.5-cp37-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 09c0ee3cf9732b6128512a46dd22a2cc003e37669e20db5e0b6e8332f6aa96a3
MD5 8e96b17605e28a797c3b3a2589bdb525
BLAKE2b-256 cd33078f8baf52b76ec90b66b8fa4c778569b8fc84185bd3dcb5eb3e04acf04d

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ef4f4de4a8bb0933f94166e1367743acb562846e3f8ee1f420cf77a0a720365b
MD5 79d836b39b16a88595d849ea1fbcde83
BLAKE2b-256 dd5e54e2003ffebf37df8d2ef4053a68f8466e8ffc8ff6025a3fc7aa372610ad

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5bcc635c7510fc4a42168e9a4caaa0294891f62c96ba26e8f5aa4978403904f4
MD5 1c4761c041dad2900f6ea9c9a3034e90
BLAKE2b-256 aa93abf3b671b66a5f16533005b193e1730efbee43a9a5ffe96788fca86ac792

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 5a915626a3dd62f1e4f37fbd863b86867281a8e336510c4a6fa5e0764f5e1907
MD5 0b2b1dea8064b6e84dc0c1a550260877
BLAKE2b-256 8e67cd217ecfe35f6e0a49da9871720ef258df94dea416558b0d03851bfa6f9f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 1976291d77b31999e66bc0e261c6d9c7ee5c86f345ecf71ac30e6babc36e5eff
MD5 cddeeed9b455aa5ec24684a216b694bb
BLAKE2b-256 d820cfb75421e4899a1d386f229b8298bcdf1047b61e0b84420d031187d0fea5

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f00ee13b31be26856045b3477e85a661fd6dbb36f683cf6595bcf5b0f84fdcd1
MD5 2b1ae91f47183ca01177976aefef72be
BLAKE2b-256 6933e2d50e5c244053d9b88de6f110b06425f0de0c5cbc3355fcc3fdef2bfb73

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 dbaf2daad07e9c2bf4087bf5bb741ad3fb6de202e375c4974fd2b3c88f584db6
MD5 1173d8cce626b28aca1dd6184769efc9
BLAKE2b-256 d446d80ee5656436f9d272d739666ef8f35d368147939aaaf0cc4b96eed2a428

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 e6d913ab8598790a84850244355e63921e68974f3c6f99561aac0410309a3d70
MD5 46b199290195d99ee101633f17a12267
BLAKE2b-256 cc44ffb66cb4bbf00c66153c9043567a9587a4feb43403838cb895cbc60aa062

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_17_ppc64.manylinux2014_ppc64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_17_ppc64.manylinux2014_ppc64.whl
Algorithm Hash digest
SHA256 1af9f07de7d65ca2e5b7e88555f00e9db260dec898ffdfb3310ca884afb98eab
MD5 b55c7529dfea87bb9796e82bd5f30994
BLAKE2b-256 c34f5887252223276174759031ea0510ae48919001740ac7580ed5db80bcffe2

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 d1a1f2053eb9ee94695a85a3e679ce5fd1ac0a6a2c17ab36af9a3327b9caa8ac
MD5 2f7344b48f5fddf1c8ac124a1d0aa026
BLAKE2b-256 a4cdaec046d84b66dc5bcbf0f30708c1125ada195a347c280d54ca4e9000da0f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2180a9c4f63b381e4c91ed1624ffac38b2c9efea61c46279b04a3a68f44c4508
MD5 25cd19be7c8800c6adab715f5d852b93
BLAKE2b-256 bb4e3dcab3f697fcd35c91dd21ac4c0f93f1d24053e126eaa71d1e4af1f70101

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 3b806fb2529801f7b47e4a636b025a18a4a0f71ded871434f74a7b06392f3fb9
MD5 6b1522415948380a338c3b3f2b1f1e44
BLAKE2b-256 ffab33aa03229ba9c8e591b889736407cce11c7dd414e5ffa28f7831e257faea

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0dacca837c973ca0bcd987ef24c3831b0c5e591e9b78c16c44f826118711e7df
MD5 194abf8fb605d7446882c509b1af0096
BLAKE2b-256 c7c38b9b003dc4292565ce31e3c1ba7022e0fcbc7c2400c170bff85fde5c75a8

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 8536bac3d270f7aa52b58098a7982429c1269cf01f6293204b45d87301e7546d
MD5 9590bd112f8a8fabf781bcf7debfdf65
BLAKE2b-256 81f931cdec577c57b20ef6d33e12fbc7f9f77d4ba32db603c3c03eeed96a9f3f

See more details on using hashes here.

File details

Details for the file wassima-1.1.5-cp37-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for wassima-1.1.5-cp37-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 877175ee192134813c3eb4a871c78d86982d0d0769f0a2dace91de15f4875932
MD5 7736158b42539d3ef8577eb5333b4f07
BLAKE2b-256 25f8158cb2eaef193125afc31e05ae397b2f4c93109dac071bf8b15c546db7e2

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