Skip to main content

Fast random number generation in Python

Project description

fastrand

Fast random number generation in an interval in Python using PCG: Up to 10x faster than random.randint.

Blog post: Ranged random-number generation is slow in Python

Usage... (don't forget to type the above lines in your shell!)

import fastrand

print("generate an integer in [0,1001)")
fastrand.pcg32bounded(1001) 
print("generate an integer in [100,1000]")
fastrand.pcg32randint(100,1000) # requires Python 3.7 or better
print("Generate a random 32-bit integer.")
fastrand.pcg32()

if fastrand.SIXTYFOUR: # support for xorshift128+ is limited to some 64-bit platforms (linux, macos, etc.)
    print("generate an integer in [0,1001)")
    fastrand.xorshift128plusbounded(1001) 
    print("generate an integer in [100,1000]")
    fastrand.xorshift128plusrandint(100,1000) # requires Python 3.7 or better
    print("Generate a random 64-bit integer.")
    fastrand.xorshift128plus()

It is nearly an order of magnitude faster than the alternatives:


python3 -m timeit -s 'import fastrand' 'fastrand.pcg32bounded(1001)'
10000000 loops, best of 5: 23.6 nsec per loop

python3 -m timeit -s 'import fastrand' 'fastrand.pcg32randint(100,1000)'
10000000 loops, best of 5: 24.6 nsec per loop

python3 -m timeit -s 'import random' 'random.randint(0,1000)'
1000000 loops, best of 5: 216 nsec per loop

python3 -m timeit -s 'import numpy' 'numpy.random.randint(0, 1000)'
500000 loops, best of 5: 955 nsec per loop

The pcg32 generator is a 32-bit generator so it generates values in the interval from 0 to 2**32-1. The xorshift128+ generator is a 64-bit generator so that it can generate values in a 64-bit range (up to 2**64-1).

If you have Linux, macOS or Windows, you should be able to do just pip install...

pip install fastrand

You may need root access (sudo on macOS and Linux).

It is sometimes useful to install a specific version, you can do so as follows;

pip install fastrand==1.2.4

Generally, you can build the library as follows (if you have root):

python setup.py build
python setup.py install 

or

python setup.py build
python setup.py install --home=$HOME
export PYTHONPATH=$PYTHONPATH:~/lib/python

Changing the seed and multiple streams

  • You can change the seed with a function like pcg32_seed. The seed determines the random values you get. Be mindful that naive seeds (e.g., int(time.time())) can deliver poor initial randomness. A few calls to pcg32() may help to boost the improve the randomness. Or else you may try a better seed.
  • If you need to produce multiple streams of random numbers, merely changing the seed is not enough. You are better off using different increments by calling the pcg32inc. The increments should all be distinct. Note that the least significant bit of the increment is always set to 1 no matter which value you pass: so make sure your increments are distinct 31-bit values (ignoring the least significant bit).
  • You may also initialize xorshift128+ with xorshift128plus_seed1 and xorshift128plus_seed2.

Reference

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

fastrand-2.0.1.tar.gz (8.6 kB view details)

Uploaded Source

Built Distributions

fastrand-2.0.1-pp39-pypy39_pp73-win_amd64.whl (13.0 kB view details)

Uploaded PyPy Windows x86-64

fastrand-2.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.1 kB view details)

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

fastrand-2.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (11.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

fastrand-2.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (9.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

fastrand-2.0.1-pp38-pypy38_pp73-win_amd64.whl (13.0 kB view details)

Uploaded PyPy Windows x86-64

fastrand-2.0.1-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.1 kB view details)

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

fastrand-2.0.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (11.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

fastrand-2.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (9.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

fastrand-2.0.1-pp37-pypy37_pp73-win_amd64.whl (13.0 kB view details)

Uploaded PyPy Windows x86-64

fastrand-2.0.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.1 kB view details)

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

fastrand-2.0.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (11.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

fastrand-2.0.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (9.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

fastrand-2.0.1-cp311-cp311-win_amd64.whl (12.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

fastrand-2.0.1-cp311-cp311-win32.whl (12.6 kB view details)

Uploaded CPython 3.11 Windows x86

fastrand-2.0.1-cp311-cp311-musllinux_1_1_x86_64.whl (24.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

fastrand-2.0.1-cp311-cp311-musllinux_1_1_i686.whl (24.6 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

fastrand-2.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.7 kB view details)

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

fastrand-2.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (19.2 kB view details)

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

fastrand-2.0.1-cp311-cp311-macosx_11_0_arm64.whl (9.9 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

fastrand-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl (9.4 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

fastrand-2.0.1-cp311-cp311-macosx_10_9_universal2.whl (12.0 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

fastrand-2.0.1-cp310-cp310-win_amd64.whl (13.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

fastrand-2.0.1-cp310-cp310-win32.whl (12.6 kB view details)

Uploaded CPython 3.10 Windows x86

fastrand-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl (23.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

fastrand-2.0.1-cp310-cp310-musllinux_1_1_i686.whl (23.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

fastrand-2.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.7 kB view details)

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

fastrand-2.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (19.2 kB view details)

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

fastrand-2.0.1-cp310-cp310-macosx_11_0_arm64.whl (9.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

fastrand-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl (9.4 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

fastrand-2.0.1-cp310-cp310-macosx_10_9_universal2.whl (12.0 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

fastrand-2.0.1-cp39-cp39-win_amd64.whl (13.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

fastrand-2.0.1-cp39-cp39-win32.whl (12.6 kB view details)

Uploaded CPython 3.9 Windows x86

fastrand-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl (22.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

fastrand-2.0.1-cp39-cp39-musllinux_1_1_i686.whl (23.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

fastrand-2.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.4 kB view details)

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

fastrand-2.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (18.9 kB view details)

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

fastrand-2.0.1-cp39-cp39-macosx_11_0_arm64.whl (9.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

fastrand-2.0.1-cp39-cp39-macosx_10_9_x86_64.whl (9.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

fastrand-2.0.1-cp39-cp39-macosx_10_9_universal2.whl (12.0 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

fastrand-2.0.1-cp38-cp38-win_amd64.whl (13.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

fastrand-2.0.1-cp38-cp38-win32.whl (12.6 kB view details)

Uploaded CPython 3.8 Windows x86

fastrand-2.0.1-cp38-cp38-musllinux_1_1_x86_64.whl (23.1 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

fastrand-2.0.1-cp38-cp38-musllinux_1_1_i686.whl (23.7 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

fastrand-2.0.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.9 kB view details)

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

fastrand-2.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (19.5 kB view details)

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

fastrand-2.0.1-cp38-cp38-macosx_11_0_arm64.whl (9.9 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

fastrand-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl (9.4 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

fastrand-2.0.1-cp38-cp38-macosx_10_9_universal2.whl (12.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

fastrand-2.0.1-cp37-cp37m-win_amd64.whl (13.0 kB view details)

Uploaded CPython 3.7m Windows x86-64

fastrand-2.0.1-cp37-cp37m-win32.whl (12.6 kB view details)

Uploaded CPython 3.7m Windows x86

fastrand-2.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl (24.0 kB view details)

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

fastrand-2.0.1-cp37-cp37m-musllinux_1_1_i686.whl (24.4 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

fastrand-2.0.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.7 kB view details)

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

fastrand-2.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (19.2 kB view details)

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

fastrand-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (9.4 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

fastrand-2.0.1-cp36-cp36m-win_amd64.whl (13.0 kB view details)

Uploaded CPython 3.6m Windows x86-64

fastrand-2.0.1-cp36-cp36m-win32.whl (12.7 kB view details)

Uploaded CPython 3.6m Windows x86

fastrand-2.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl (22.0 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

fastrand-2.0.1-cp36-cp36m-musllinux_1_1_i686.whl (22.3 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

fastrand-2.0.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.8 kB view details)

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

fastrand-2.0.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (18.0 kB view details)

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

fastrand-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl (9.1 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file fastrand-2.0.1.tar.gz.

File metadata

  • Download URL: fastrand-2.0.1.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1.tar.gz
Algorithm Hash digest
SHA256 60991e9c4083afe96fa1c58232fe9c79b043a15e93cafafc05774ab24b2dcc24
MD5 68a4b95d75e47b8de3f08de8dd85c663
BLAKE2b-256 e25cff78ad7cb97246e2afca0f63e9d1ba399971f9fc5ad49b4586e376d0b573

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b3859d50392fd623a4cbbf2b72e79a1b2fd91cabd1432a0382f3bf1fa14cade6
MD5 f4c8f5197a074995c193bb59f7e8a5ab
BLAKE2b-256 143b3fd9097d596150e6c8536f3cc0a75bd98f4a4a27a25f154c4ce5a7f00422

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4346a95dfa26eb2648e7c111c15b412e22bf4e16356048548fbb67b5188b6b58
MD5 9512a3ce7471f921ae55c2994f98d326
BLAKE2b-256 b1f7d0f3a3d7b7cde19b88238184dbc75ef38ae058aa4216b8b932f2ba979a26

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f113036f448a5015a7f514576c900851db2c69787d18fe7462ab2916c21a158f
MD5 d062e3b5f8bf773de9f1356c2fe04212
BLAKE2b-256 31c24969fda4da546657d84996e2e5a546790d06659a2f397094daa5734ec7f5

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2d5d95ddf7c74dda95635adfd3d3d6e0b9edeb38da7ca74ac72476516cd89986
MD5 5b4519cb5b7ee4f015845b0bbd696b49
BLAKE2b-256 7e024dc0639f28502743f344e957ef1c1d915655be302cb85034abb0ce7b2890

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 edc23393f0f770ff4afb7ffc6635baae78aad7801574205794b9f6cf35074938
MD5 291df7c9a69a3a6a7daf00b097770d5c
BLAKE2b-256 47f68d906d73bbee8c50319e3e64309c23af9d9f252b77fcc38553c8dbd36569

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 608fa5063abde1c7c1ebf56f0bee807c18724caf3ef6113c86f6cac3a90be04b
MD5 0c93fdf811bd132865579115c4b05fef
BLAKE2b-256 7c6c0f18342a21cc4a9ee4bedfc7bf9ac675b063cb4655369bb91634bb23d37a

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5c37577f67bdcffc7211db7cc00c8c82b777f5bb9b421e5e63589cd9dd038137
MD5 0b4f6c496c37f9a0f842191aa65457c1
BLAKE2b-256 a21bd1118091250b9f444ea7f38f756c3720954c0b338bc9b074c4b1c6f9d30f

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6fa885a72a24d7d526d1280476f8cb446a105203ff855d47452d9104660ed291
MD5 f288432c693e40ed9b19448e5b2f8773
BLAKE2b-256 2b66ded2fbcb355f5da589de70aeb6e883416d90ab012c8e021b33a2fae093b8

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 d7f900fe6521e28df970b23e5793d613e2dcff24ec48b739ab2220746f2b00ac
MD5 601a700052b6819dcdc0213546fac316
BLAKE2b-256 e75011ea2988a2257ad0203d6ce69da3dc41e542d277409f9833f94c9d869505

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1c257dc61726d0d8a72f0f2bb1a8ca1962d7a9ffcee9e9870e987685612d24f9
MD5 6df12b5b32774fb4f12d4c260b0e5e4a
BLAKE2b-256 6a07268846940e1c7a61dd76fe7ccf432397d14dbd70544dc38fbf263858f058

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1d1dddfa1bb0646b76881f9a1c95fbf6b019b927e843c985f305506a6546985d
MD5 250294e78bdd79dc449adc4cd4ac9862
BLAKE2b-256 a4d6e801a311ba3de1f2e195f9869aab1996e1b90df99d00bf298c5c80819189

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 04ee99ce283f1696f6e9b80a876c48d1a2c2e7f3e6d47adeede871c42feb90cf
MD5 cccb15cda1051e0927a21e2ed5195bed
BLAKE2b-256 58d49a9c46bd5cebe0180ce2bfcc265b36cb8d3589c738302b607e8688dee311

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 12.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 cb97f5545eeea9ba8aac5562132c7283f40b8a51734183db820992ad8395cdd7
MD5 0c8095629fbe3b68e3bce31f86788b98
BLAKE2b-256 cf521ae1ebfbfefc6c6879068f521e6a86f39bb465436489a5893903aa1250f9

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 a5f1795df0c3ed212f820d80036f8073cd8a37083375f90e5673043120263d35
MD5 5bafc620ee9af88939f87c52e843159b
BLAKE2b-256 457b3afb0cf1680c2c0c2b378f5da8bbe88d870dbd533f9eee84c1c186a98415

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3f79c5929d519544ad7fcf9b9fd89c25b7b508954770096580270f12b68a593c
MD5 bc75da21f070f8755ed27b32d99e9924
BLAKE2b-256 4ffbd7ef08329759d42c9fcbd5fba8100e12c4d0e054ef70cf9c5f7233d792d2

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 a1fbd83e63e5a8d3d6ce04b49fc3294ab2111f0f5d8b1a17f63b88c70889c6a6
MD5 ba559ddccd7ea02e5448a4a6d17fcb25
BLAKE2b-256 aead25502604aefc505799fb930df892573012ab59adbf3a9986088556218049

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 67b2de4331bcdb51ef0456f335e617e4c680e1e470cf170106685ef2bd036fb9
MD5 939cb1089ed8371cc98b9cf9f562b500
BLAKE2b-256 ac08f77b71531aa7db8255a5a57c677bdc8d019cf377166face941b743dd5869

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9355a77e9e864f93fefeb21390d60a1c4ee1da9898322ac3f0b85f9cc4a4b130
MD5 b46affe5f6f135f6e275572d4d6b28a3
BLAKE2b-256 047dc1c3e6fea9ab5e95fd805e18e90e81051d24cb77505b1cb9086a0fac02dd

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4bb94bf42af4d26225f72a4e6957930e723b56950d9aff2eb70bee756f8c400a
MD5 1e820ce65286f1ce28ce9495358d4167
BLAKE2b-256 2c571df78438d2131d5cbcf773b967fd8edebba970fa7ed3731749a3a8733340

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e0a2399fdb1f6cfa2490f5cecb26b5cee871a02ea5874acf0324de5f0ab61772
MD5 beb396dd716149f325a26348ba26168e
BLAKE2b-256 9500c7ecd37000aae922bfc5204caeff54afe645617937ee56410e6b4897f274

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 db8472f6788a80647ef075840a44b07f9d0448803c133100a3e00fadea42ca5e
MD5 628e4913a3feff79913965f683d24c54
BLAKE2b-256 84e0231c754226ba71a28861522336b6724fa1e2d80640504f9f8a66d09ea64a

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ce784de3f01289c9368f0ff05aa6efa3ac6f79c9a55887354b707fc4986df4e6
MD5 c1df1f4d0562542aac2813b2c8d91f23
BLAKE2b-256 f49abe721b327e1a17112d74c37e6d6a3ae7d69385b22192202f710559f99407

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 9ed9f2fe648c3e5bc2b0b4e34b48da0ea40c527065cdb3c7e603dca6fdb408fd
MD5 41b193409196b241e8543a4d4d847a47
BLAKE2b-256 ec48f6e95531aa9816b1dbb62d58a9badbb14093f0374c36007cecbf18306c1c

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 ae16911f301163dff6a27f588ad2f89a90b274a1484c5866f2ac699d3e514d47
MD5 887910abdd321fe3f4ceca65c16ee8db
BLAKE2b-256 dce3239107a3fd47e6c2a6804c065170febaec240f58c9929a8c691e7038fd1e

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 bd412596fe7b1c1ddd8c38af79ba88f1c7ee087f9434478bd238b7f615dbe429
MD5 6b0456fdea08c2d7eda7bac87f2d4e16
BLAKE2b-256 c1bfd3b615cd8a8e344d8a0f222e9a1b4e58fc752bb8f92141781c93044371cf

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 748a195ee9fd83438f173ae05b0d1a83534d26f434a17c3e58acbf118004cf0a
MD5 612146ed87d617d4b51230ec14821bfb
BLAKE2b-256 6a038984651904a7605fda69327ef24e7c7e4e010fc4984cde2e0efdb95f8401

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 aac4853f38c9ae0a58906632ffe043bc36f9c026af07eff6d3642936a9dc6e77
MD5 03b2f8475100882babd1e8e89ed96b75
BLAKE2b-256 b1acc7ca6b13b97d4dff79b98b966fc8ed91df630b3a1e329d4bc26035f83fdb

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c1addc0a293e58df079bcc5a7eddf30309fab0fe9c59259d054c0104cb18eb95
MD5 f32693eb5a4e220343eb768050608a5a
BLAKE2b-256 6ce0bef2cfcbf28028093858bd29baf4735ce2fdb509bd9ba56c2b010d8108d2

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f1c05c1e6c4181282f2454399fd6f0b9c49c2e532b0af276787b7e53a9a5af8b
MD5 0df5d367b5c2eeb752298b132ecd5ecc
BLAKE2b-256 2f3257f6b843872dc6cc887325cb49b38332fe2c206f017bbe56fee5b934f1c7

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 714d7498d30697d823d8be14e85904340e085b63e70a26e7087ba1ca8274bd99
MD5 c9aa7984dc3e7f36b77b0cfba242beed
BLAKE2b-256 8ba4a6372abc4efe22ee32ec9261f90219feda348a19f437df760ef7f369de25

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 5f29a30dd52f7e9fa7563c44c4d6dc8a30ea0604af6bc48fa9d7aa0c1b394810
MD5 85c38b4cf8314e84664d0cdfebdda30b
BLAKE2b-256 64f341d4278d5e267ef1086398721dd483dbdc5228b71014d2336bd58fe91238

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 d11f405bd9d7e91ae7589392ad76d5bbe6b7b165c0e5b4b7aca4e79ef24d6ab1
MD5 9e06851d795b8b9d29f94629f483e44e
BLAKE2b-256 6b651cdd4b0089e191054dda1e7aff6dc853226d1f4265dc00d4465f50c616b4

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1225e49d86ac32d29e5ed4b380a172b4fb09f801ff9d9976cb2bb3382f30796f
MD5 3838743f717d6a7bfe99f1a5dd527c9a
BLAKE2b-256 030b26cfa371f502467c4700386304e2431368745a25803a0427e025520925e6

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 da1ceed9ac5290719a9d564d592c87da70b8a63d4efe4ca24c58902524dcaf5a
MD5 d54bba43aa3caf78db2446b682a2d705
BLAKE2b-256 5d7a31be57e0ad10371746748e69e11cf89c04ccaf0af3f300fd2f487a48e3c5

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8125634ab4dcf16e4445a7e592922c08af33b06cd97a2ae0a2ee8da7786c12d3
MD5 af50e6d5cd329c0263fd5da24e31aef9
BLAKE2b-256 69e0187b6b7ef3baba41513f4803db60d0fe994b609e588cd48f2badce671d11

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c27187e8956199bcf28f4feec668b450d9b56bcb1977e0f08ef9c46771fc4d86
MD5 67db1fced2698ed2e0251d592f95ea76
BLAKE2b-256 385b278e15641de96a566a431e73f9825802f2ff332b16bf49aa91ce0ba44680

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1394616470cddeda1d634d5609f484d783f177d3e8faffc9d6cee25f6d22b166
MD5 96596333a280b9c9d0750a7a07930196
BLAKE2b-256 612ed4c3cb261300bb5c8b28601bab285446aff38a4f55c57c448557c62f2386

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 481396abe38136633d506a154a7a7d78da6231d5f6ddec2d4173f21fd68b92de
MD5 f1cdd5b6e736cdb77514a2a02350e089
BLAKE2b-256 69dc99d53985462e3c88c9426e973a6f83a4b6b66bf4d96048ccaa14809e455b

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 744e6388318d5ab6e789df28e3433bc2fd79c2a38df6681bff18f901d13a49d9
MD5 fbb3afee4c003622098ba4c5d04cc390
BLAKE2b-256 bfd62ddf64977a244ac9f6bf46d9076609ad6e9bdaf5316cc8fe9392b105ee76

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a0596b12e10db4d25dcf350d01bed43e2ea128c8a698b9bdb40ccd551c65906a
MD5 44bfa83be053e5aa3a1b5c88bde3e689
BLAKE2b-256 3acd8d69464e82be2634f33e90d12d7bba84f6854b051941364e38ac0eb2ae70

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-win32.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp38-cp38-win32.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 38a2125232bd0550de0c9e2431e6609ce31f0b7c51a4a7783c9f52737f4d9ee4
MD5 340cdeed9bc5e8ab3d896da15b95c4e8
BLAKE2b-256 1c81940f521746b770e8db20af47b9f82d767b27521878a305358bd07d23ef90

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 fa4fa9ef81d8bd5eb04b9ca0cebd7f7357de1eb5bca5cdfd4bff12e251ee4a0d
MD5 6e92c1712bd8a7b3d5cff474c7b4d65f
BLAKE2b-256 a6bd3eea7c602e0cb6de749a10f0d0d98a6d885476f2b65f5aa0bb2cc05caf3e

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f42f71213257709f45443175a515074de422724e67f813378eac2eea7d2a3de1
MD5 57a947adecfdee7894005b4031656613
BLAKE2b-256 e54156eb68a5c57e5d8c77dcbf47d7327c79337410129692e622b773480bab15

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0065faec45e63467dbb8ac8073f8ea2710972f1d82886576755db133473cf352
MD5 426ef3687f98d79cde34994770ddf492
BLAKE2b-256 fc0e8aa2293bdbfe9bf33f53bacf1642894c47178db59b87cc33aa351f3df68a

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b2f1995067cd10a6d63e6ccdf2cb73cf92281d1d02ba2317aaccfb7793d32de2
MD5 f8f6f2801ee06329630e7b6df6880960
BLAKE2b-256 647c4ee4318f06bf4ea8352f1c1f693ffd92af6105dd140e432b5d244ca6b67f

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7022f3ea6721075df1aea6b67fcf0958cfd27f019491c0541c879f5af4e13fd7
MD5 013d34704ad267375222b4ff477b44b2
BLAKE2b-256 086cfe33a45925f05c3a2c8be8db8b4270457154a341d04bde56b57f050585c5

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 48a72cd42b3349e49aa7669257f140132441a10e7234b109eee50757c80d2e29
MD5 021ada304eecc5e97445707131f11a8f
BLAKE2b-256 9ed6f017b6f1b4eb04e97cf7d3d3d01513940dc1291527d6e9a96d6c30622988

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 95a00e0d79731535ff59ad92ca2f012d84ea0e1d94476739a8ef8b4a7dad5256
MD5 08df1b3c028304908b9730f870e73126
BLAKE2b-256 9ab5bcb4a57e2f0bec20a0d4f8d4810a3a4b11981640dc0571525875fca6cf10

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4b1eef4dc36a3332788fafb8ca616de8d0bb7b1677eec063da07cf27ebccdc1a
MD5 3099028bec13e8b4e4fa002afee118fe
BLAKE2b-256 db7922c397ef4c76dcc61d27a09b5b3114fedb33f9bb2022e8668a29edb3233d

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 e5fecf63eab353839df7ef856c1fb145b8f13dcf95f8c5d1d9ea4af63c82b123
MD5 31ddfdc7df98d363c1ffe1eef4444d52
BLAKE2b-256 3846f00743768c993a427edb90d8784b831d24d6e655dfc89ed52087e8362931

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 2e46156950f34eee6ee0a6a5dbbb63c154401278836778a625e09941e219074a
MD5 2e8efdfe0f51c1994c12092e55b06bd3
BLAKE2b-256 3c4d2b58e25d59de63558f30283998fcbbdbd96b5eff3368aa09d8cb6ca44a3e

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 12e28bdf4cfd6df2c26f3bd076b736a3ea0ee8379e71bc09378f5ef256e3bacc
MD5 1af3696b63b2dc882bf0dc7db036c631
BLAKE2b-256 9422216b338d2660c85473399ae7baedc2db8252ff6fbba2c923dfc01e2ed28f

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c17a668400197fdfa05955258bca5014309cafd74811f7f99eb60df15a152f74
MD5 4ab63f61b61e0422cdb289171237d162
BLAKE2b-256 62df5339bdaf33bba15d38eacfec085813b762a71ad7a5661e85ba7dc360cc6c

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 147588b78a7911e4ad3d34e753d079641d4d43e81c51e0ab90894ffb1de44510
MD5 8888b179da1cc1fd208c03ab59b20b6c
BLAKE2b-256 c28fd13b6ba5350ed4b85b26f78f35744de76fc6967534f58754f469e4a4c486

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 88b50b566f063ef929c3ede97ef0b68ec844bafbc48125fa063f0308c9e5efbf
MD5 01f87a80ad2a9e87968ee9c2b3cf123e
BLAKE2b-256 62c6c453e2106df5eae0b34db54465822deab6b817569109889bc97fb272c52e

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 7c2e738e0dcf20b17bbb36585524c099dfb1314b735e1a9e62290dc30b8e3ffe
MD5 3e5b456cc72f413b9d8d94350af6bf4d
BLAKE2b-256 f435d439a5a8c27f3dc7ca15a49a84206eec93295efe6f8b9dce05e71c959999

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: fastrand-2.0.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 12.7 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 6484540e219999489dd0ba86c8c5a00206928b81c7dbd42870a4661f87477930
MD5 4cf05bd21373ac89c51f45ea7210a752
BLAKE2b-256 373ac73052728d7cfb158268d43920cebd1d8dee74b589e225643f9a45b4ee07

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6b63c8907a2b36f236a9bdddb2b567506486f09ec31555510c2c661ccb7b571c
MD5 f1b1375d684e2b580221733d1939b9f9
BLAKE2b-256 bf348e91df1c6effc1bdd2279b1d4fbfc3569573447c6eb088d6cc003134bb78

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 2d3aa5fcdba2c252e91111d22c539b894d68d58d862a8ef12e5da5fb08e9554c
MD5 fdfed1464a2317b7a15fa3b73f38fd9f
BLAKE2b-256 d667d3878bedda04507ff4f476542d7bf4669230191f7dd849d9748cf334fd0e

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 78a4e1f758d3fba421821077f34cfdfe2589bf09dd7c8425c8acf8f39d4b7d62
MD5 890e1ea194ee9f2bd3ff3d4267a33d8c
BLAKE2b-256 d9c02d4130353785432bed94671b6bca8ae70a51f340fc41fc16d226a2688f88

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f0db38f983b67760024865bd1ace9c2f700b92b133601e205c0b3db2658cc9d3
MD5 78834933fa0fe56665e355cb3851cd03
BLAKE2b-256 ad11251a20b8e97a7abb55d8b4f9ce2948e0f015e4e43f9ac08f211ba489f957

See more details on using hashes here.

File details

Details for the file fastrand-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for fastrand-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 579f2c925d88c02a3a37d8d840336cc2fe09657eaec1bed2b2412a17ee62e5de
MD5 9e1eea25f56ff3ee5bd0e78b5d4f7da8
BLAKE2b-256 9329cf2d2dfe6ed3a27dd624baee53d6cd39c84a8a61e306fdf261188dd0e7c6

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