Skip to main content

Shift some bits and see how they line up best.

Project description

BitAlign

Given two strings of bits, find how to best align them so that they have the most bits in common.

Installation: pip install bitalign

Examples

The following snippets show a conceptual string of 16 bits A = "0001001011111111" needs to shifted to the right by 5 in order to best line up with the string of 16 bits B = "1111100010010111", at which point they have 11 bits in common:

A =      0001001011111111
B = 1111100010010111

The only differences are how we decide to encode the bits into a list of integer.

>>> from bitalign import *

>>> # We can can treat bytes objects like b'\x12\xff' as bit arrays
>>> A = bytes([0b0001_0010, 0b1111_1111])
>>> B = bytes([0b1111_1000, 0b1001_0111])
>>> bitalign_8_msb(A, B)
(5, 11)

>>> # Reversing the bits in each byte --> use "lsb" method instead
>>> A = bytes([0b0100_1000, 0b1111_1111])
>>> B = bytes([0b0001_1111, 0b1110_1001])
>>> bitalign_8_lsb(A, B)
(5, 11)

>>> # numpy arrays also work, just make sure they have an appropriate dtype.
>>> import numpy as np
>>> A = np.array([0b0001001011111111], dtype=np.uint16)
>>> B = np.array([0b1111100010010111], dtype=np.uint16)
>>> bitalign_16_msb(A, B)
(5, 11)

>>> # Reverse bits in each uint64 --> use "lsb" method instead
>>> A = np.array([0b1111111101001000], dtype=np.uint16)
>>> B = np.array([0b1110100100011111], dtype=np.uint16)
>>> bitalign_16_lsb(A, B)
(5, 11)

>>> # Works on general pairs of c-contiguous buffer objects
>>> # numpy.array, array.array, bytes, bytearray, memoryview, etc.
>>> import array
>>> A = array.array('H', [0b0001001011111111])
>>> B = array.array('H', [0b1111100010010111])
>>> bitalign_16_msb(A, B)
(5, 11)

API

This bitalign package exposes 8 methods:

from bitalign import (
    bitalign_8_lsb,
    bitalign_16_lsb,
    bitalign_32_lsb,
    bitalign_64_lsb,
    bitalign_8_msb,
    bitalign_16_msb,
    bitalign_32_msb,
    bitalign_64_msb,
)
    bitalign_#_???(arr1, arr2) --> (shift_by, num_common_bits);

    Return a tuple (x, y) such that when arr1 is shifted by x bits,
    the number of bits in common between arr1 and arr2 is y.

    Positive shifts indicate that arr1 needs to be shifted toward the back:

        arr1 =                    -->  0001001011111111  -->
        arr2 =                    1111100010010111
        gives (shift_by=5, num_common_bits=11)

    Negative shifts indicate that arr1 needs to be shifted toward the front:

        arr1 =          <--  1111100010010111  <--
        arr2 =                    0001001011111111
        gives (shift_by=-5, num_common_bits=11)

    The number (8, 16, 32, or 64) in the function name the number of bits
    that must be in each array entry.  'lsb'/'msb' indicates whether the
    0th bit of each logical bit-array is to be stored in the least or most
    significant bit of arr[0].

    If more than one shift is optimal, the negative-most shift is used.

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

bitalign-0.3.0.tar.gz (9.5 kB view details)

Uploaded Source

Built Distributions

bitalign-0.3.0-pp39-pypy39_pp73-win_amd64.whl (15.1 kB view details)

Uploaded PyPy Windows x86-64

bitalign-0.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (14.6 kB view details)

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

bitalign-0.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (17.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

bitalign-0.3.0-pp38-pypy38_pp73-win_amd64.whl (15.1 kB view details)

Uploaded PyPy Windows x86-64

bitalign-0.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (14.6 kB view details)

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

bitalign-0.3.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (17.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

bitalign-0.3.0-pp37-pypy37_pp73-win_amd64.whl (15.1 kB view details)

Uploaded PyPy Windows x86-64

bitalign-0.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (14.7 kB view details)

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

bitalign-0.3.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (17.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

bitalign-0.3.0-cp311-cp311-win_amd64.whl (14.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

bitalign-0.3.0-cp311-cp311-win32.whl (15.0 kB view details)

Uploaded CPython 3.11 Windows x86

bitalign-0.3.0-cp311-cp311-musllinux_1_1_x86_64.whl (48.3 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

bitalign-0.3.0-cp311-cp311-musllinux_1_1_i686.whl (46.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

bitalign-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (42.9 kB view details)

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

bitalign-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl (17.3 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

bitalign-0.3.0-cp310-cp310-win_amd64.whl (14.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

bitalign-0.3.0-cp310-cp310-win32.whl (15.0 kB view details)

Uploaded CPython 3.10 Windows x86

bitalign-0.3.0-cp310-cp310-musllinux_1_1_x86_64.whl (47.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

bitalign-0.3.0-cp310-cp310-musllinux_1_1_i686.whl (45.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

bitalign-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (42.9 kB view details)

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

bitalign-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl (17.3 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

bitalign-0.3.0-cp39-cp39-win_amd64.whl (14.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

bitalign-0.3.0-cp39-cp39-win32.whl (15.0 kB view details)

Uploaded CPython 3.9 Windows x86

bitalign-0.3.0-cp39-cp39-musllinux_1_1_x86_64.whl (47.2 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

bitalign-0.3.0-cp39-cp39-musllinux_1_1_i686.whl (45.0 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

bitalign-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (42.7 kB view details)

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

bitalign-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl (17.3 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

bitalign-0.3.0-cp38-cp38-win_amd64.whl (14.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

bitalign-0.3.0-cp38-cp38-win32.whl (15.0 kB view details)

Uploaded CPython 3.8 Windows x86

bitalign-0.3.0-cp38-cp38-musllinux_1_1_x86_64.whl (47.5 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

bitalign-0.3.0-cp38-cp38-musllinux_1_1_i686.whl (45.2 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

bitalign-0.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

bitalign-0.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (43.3 kB view details)

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

bitalign-0.3.0-cp38-cp38-macosx_10_9_x86_64.whl (17.3 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

bitalign-0.3.0-cp37-cp37m-win_amd64.whl (14.9 kB view details)

Uploaded CPython 3.7m Windows x86-64

bitalign-0.3.0-cp37-cp37m-win32.whl (15.0 kB view details)

Uploaded CPython 3.7m Windows x86

bitalign-0.3.0-cp37-cp37m-musllinux_1_1_x86_64.whl (48.6 kB view details)

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

bitalign-0.3.0-cp37-cp37m-musllinux_1_1_i686.whl (46.3 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

bitalign-0.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.7 kB view details)

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

bitalign-0.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (43.3 kB view details)

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

bitalign-0.3.0-cp37-cp37m-macosx_10_9_x86_64.whl (17.4 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

bitalign-0.3.0-cp36-cp36m-win_amd64.whl (14.1 kB view details)

Uploaded CPython 3.6m Windows x86-64

bitalign-0.3.0-cp36-cp36m-win32.whl (14.2 kB view details)

Uploaded CPython 3.6m Windows x86

bitalign-0.3.0-cp36-cp36m-musllinux_1_1_x86_64.whl (46.4 kB view details)

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

bitalign-0.3.0-cp36-cp36m-musllinux_1_1_i686.whl (44.1 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

bitalign-0.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.4 kB view details)

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

bitalign-0.3.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (42.1 kB view details)

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

bitalign-0.3.0-cp36-cp36m-macosx_10_9_x86_64.whl (16.1 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file bitalign-0.3.0.tar.gz.

File metadata

  • Download URL: bitalign-0.3.0.tar.gz
  • Upload date:
  • Size: 9.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0.tar.gz
Algorithm Hash digest
SHA256 c4412f925b6898c7a5461a141c55a6225eacb556772f3e8aa1a2be5eb26baba9
MD5 cbbb1e7a830cd6dd51b0145fa619eae5
BLAKE2b-256 2c609db99a93726af3323c5ee9c8518cdf1ea658172dbc735af542c654eed3d6

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 5663d26048f3b5183d812c5c7f2e105f9ea6ee12027bafaef165a22d661ae61b
MD5 4453053a5d9a24daed2ffa189c1899a8
BLAKE2b-256 5d9ae17c45c863de1a8c199fb2aa9922b2f4aa9e0cc46b412d2c55af86c0d390

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5aef472baa6ccf54e5823f3860c2424d23e9bb7ec4f6f5bc6da295a41e9d5b29
MD5 baecbaae9c645c44212188e98457ad05
BLAKE2b-256 e61915a6b02512895b934ceaef7ed5c0ddcf57a6cdd509a906fb9a777373d057

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2d5d0c2962ea7f2bf70ffdad273269d771704d1502e8df7595ebfabd61c1987a
MD5 904a5dc61d38822b115d524e230a5afa
BLAKE2b-256 f37a95d9444991826fde949d15d3806571bf7581f7c79c5977ad42bfdb0b22a6

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8f29cbcf14a503efabce339ae1d35d138b2d9acb4391a80ff29a01a006d12dad
MD5 2631f3fc27ab499f00b82a9ba32871d7
BLAKE2b-256 183a953ba5a35464a33a484d851ebb7dfa6d70ff16e91dfb0d8ff3897a32b97a

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 2572f7069b64a2d34453514d4395b849cd721d391027e075223ac0ea373f6ab1
MD5 4bfe9dbc0d292e16b41a9bccdabd1acc
BLAKE2b-256 c215dbafd76139f3259b980dabe5aa428ef3bfc2b2eec32a0ebc653cf52f6fe6

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 603ea68e5fdd054f8a3ec1195e06e4d56c1527332e49658d7e87de4322a5c7f9
MD5 b1f1c05772a098e344b7aec6bd4d886f
BLAKE2b-256 b9a70a4b7a8f997842dccb94c1e4fb385704b3a1eb45d1b486508f514f06f89c

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6d64152d522b8cbeb7cd8c9dd6b1046d1d58ecb1fd3bc146aed34e2aba7bc73f
MD5 2b0c5c7fd9961f8f0499d167f5e32700
BLAKE2b-256 f430c1a08e941378342065d29f39f2997fc7732c28ffdb78ab6e409bcbf229c5

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 52a41c878a35a9c1bb954bcdc515ce240a3338a895dbfdd278ec74de859509c2
MD5 eb614942bcb25e5883c68081cae3b449
BLAKE2b-256 a971cf937df9f16b199af6d4f57cdaf3a6cd9f2011b298ef3128581511858624

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 697c896216d1c76489d84cdeebc82c49a3389ff0ca0cd6039741007d7d46f7b6
MD5 b494138b2deb4141624499f0e27162cb
BLAKE2b-256 1ac7a91fe10cdc6f80699b533c05d887d8971140c4da2226bb2b71f62216b0de

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c576640006cab73a3a2ab49c6a333e8f43e43c89f57900b24c54496542b8dda1
MD5 6f165847a3af979f9fc1e2b6a9e348da
BLAKE2b-256 2c82f6e54ae9eddbb78ba9aa172f8fd7b7b643d0638ca85340057d18617f4d9d

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 cdf96aa5dad36b8f40f2cef95ceec17b868a7f262c3708989901c98f90e45ec2
MD5 6852eac78b425699d5a90ddb03653e41
BLAKE2b-256 f6bff8d6f38118f2f90dc6ef6aa2b905477fd956d07019bc3e98b131e0d63909

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6f7d5f04d1767731d9e6ca3ce41109e610a077241ca26cf6a7ec6d12bb4941e9
MD5 c5d79f3c4a0a3b9491f262e1017fbdc8
BLAKE2b-256 4918bb1e2cbf8fd54c709673a9003efb7cbadc132752b8764ae3b9493356585e

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c2688531dae29096f102fed22100f5efaf8375c28c436ecc039d7f422cb4a9a6
MD5 14c0cd3cae427fe59fae52c5d190a86f
BLAKE2b-256 3021b54adac129bc947faf10980755bdff657eafd2a7b50c18d88697d3bf9481

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 ea70ae6d134c5a9833384dcb09b0b43376975230389f7346bcf6cf5796749965
MD5 8a64acc55f4c1bacc18433879e5c361a
BLAKE2b-256 7d05799de68a8d89ec10c05e5d84b68be4ae8571e145eb1450b2500442109d62

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 225e365850fe824b9baa815cf67c93ef43e63cd906388dd53f7159c67c1f92a5
MD5 700368eac1366dd82b3fe30fd793e5cb
BLAKE2b-256 78d6c5a40066cf893bf402d000503cbda6c090df0a3a7f9dacd9dcd17b952924

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e9de1344a8b17970ed9fb598f46309c7a6b2859bec66f4b4c2a9259710db43aa
MD5 81599a57b49f86cda189629ebe14dd2a
BLAKE2b-256 fece710f0d8cab6ad3dc865e7a5f8b191afe1917bc855c88f19690a25dbf4f5a

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 94ceabab53c4f6e2631c896ff94ee0bacff389b1eadba6726661dba4af3173ee
MD5 f2c6ef6d583ff0b6748e7b45af8c558f
BLAKE2b-256 44e9c574c9a64d1a9cf3ed44059316d4c374020262150f3fd3c19a1bb87e4887

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f8dbf3a5bce0da725b6b5c3725c5a29731b72d542cc668a720ca78c227dd3d9f
MD5 5ab0623d53331bf5cb094a3add608c8b
BLAKE2b-256 93a54c279756c0fd83c760c0d22633f84e5d3f02ef02ee6221b16a3da965f4e9

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 52a6f0fe3c1b0e71d575eb3ec039ae5fb1f8923316773c50d3891c8d2e5d7874
MD5 648c39e1dde4faa21c2d878238147139
BLAKE2b-256 3dd4df6621ca31c628ebf003e9eac3d96772d7774e857e0d96e65735058822e3

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7407e10e545387f2ade88a64612190373b8735a0d2b8109ea79a15eab7280852
MD5 c910ff5f8f1eb463cc8b5e4f2139d92e
BLAKE2b-256 7ab277b1db5674bec8a629f2450e3bafe4399e151c6f52a406e888d21f0bb0ab

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 e14491fa956a35717c0a3db4a0a66214487b7c239b6537266e6a96335f29be0c
MD5 19c4cc91f9f3f107d821480ecba53ce6
BLAKE2b-256 a55d67afa55b77e10c8dbd69f09800c3f941d6a87b52b081cdd0be080d3de242

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 573f2e4c271d37f65775de2dac81afa265e2d8f42a4f77aeeec3e3e6d3ac02b7
MD5 e878da91834f1ee56e18288160a56f4a
BLAKE2b-256 32bd898d029d4cee4aebe84fecbcea97ee2eafc6fc7bee6cbdb288a122574db5

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 62380d738a2eff32764e8a707221a81e29a6807a94c31d57f0a45b5d0ed9b847
MD5 9293e270d8884dfb375939020ed5ce12
BLAKE2b-256 b0ceb6cb13c3596d0c48ee5331e01acd693634dcd3a7e628dea34eaa0e195739

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 977dabc46690c55f541dffff4f44f9935e1f797de81b99250d7cb407687027a9
MD5 08e926829335ae86223d68b3327e0e8d
BLAKE2b-256 6e570deb92f8bb01880e5da814e35ee6d580fc56c1a2b81543253dd1279ebeaf

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5649e310b8f10e3206810c67e16f4963bddb527197913108af2a892db59c98d2
MD5 4eba55e4f2370749651c92174a2a442c
BLAKE2b-256 f91977e5cebf98403efaa7557c77a9acf3ebb28f4aaa7347d7b24d0319246d95

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2e660c4ab25f75e41ce13caf0e16a9ca7053b7f6bf752cd566ddae9639f1a41c
MD5 28b8689e879b4e9b79e1cbcf7149dc9a
BLAKE2b-256 09e3885fff6861f5cb0a39d8fceacc8933099b8fdc5d025a8780007d0bf2a14b

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 50fb9be9fdf2298a0f6bb1962d1e8054aa8b84806bba684af89621daf2d57f9a
MD5 9bea4541742b280cd89031bc495f78f8
BLAKE2b-256 57df8a917ea112eeddaaabed58e45fa3d82133c1e88734f509021718fd624771

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 2a59dacf7ac6b29f08aaf911a4780afe8754bfafb03f09062484f76dff4f576f
MD5 48068d30b73678ac094d57e867516846
BLAKE2b-256 b1b74d6497ec45050c3c3c711acc80dec17bf7e64e1f800274017455c63c531f

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1597125632c1a296ae618e7cede89c2ea7f59857af6ff7347976c5fab1ec437e
MD5 6f7dd50211a93c3fea08e7b567eac88b
BLAKE2b-256 d9380b10bf2be321317a7efeeb54988a12efa33c89649a6607769a874f1de8a1

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e32bb683830bcbb5cb527f87244963e475a56429a0b11550d755aad7b07f1260
MD5 0c01d29713b0c2df2e24117b9ac84db3
BLAKE2b-256 a548c55f5d177ab81e2872ecc414be36645378e7369dbcf8b54ff52bfb468573

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dd6e277e9d0a3b5e8db2cca91085c481ba56d2006f7bf4d3ac72309e37e860ab
MD5 1a1a71f3e3785f8019c181c9ba573402
BLAKE2b-256 6e06448bea1f7bfb951683c1e1a36cd492899f27f206108b64280693a52da029

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1e40cfefc8257410a53b2140686396240b9b0faca2189da2f311c14408821a43
MD5 a8279ee3fde661fe8fffbe85a35e37f9
BLAKE2b-256 a16992d3bcbec3076266748208017344d102176c382ee397e582c2449cb08af5

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d4bff0c74e313aee2231dae8b8a0461621d044e7be7f410998728ec155ae8bff
MD5 87c209e618e4403f808268e6356baaed
BLAKE2b-256 26b5dfe8524b02b26795eaf970e406c033f69e003b311bd740ae651242574ff0

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 197274cc5703cc7ec69d3d8b5d20746c1b0a7528cad83cae57b81459034408cf
MD5 f16c658a2168e5366c096cd3bb2718da
BLAKE2b-256 91b901e4078c36519d48a0e1fdb95d470cae5a7b66edc2a551ab9f877fc77f25

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 dce8de444584629be338445e1d7363449da227f33931ad44a4d0bfcc29403864
MD5 19835357e24a8064f6cea76f082ec817
BLAKE2b-256 99316a7cf5a223f6f47a40bb151ce3bfec91fe0f3a87a0b0667bb7c2e771edf7

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 74411f32f395fe46f889b2d55ee1bd7cc7559088e15c50d4642913da62d1aefe
MD5 ae03857e8b8b237c88293f6b39cb9905
BLAKE2b-256 c93655a9c5bd88f66e75afc3de8adba987e386878830c137c332b19aaa314566

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 042395176c987f2499981c07fbdd4357ad45c6c3ed260fdf9c53cc39e9a88b72
MD5 9392782dc247a2ee40cf7f62c9e8f191
BLAKE2b-256 1ab701f4c3c47349189bfbf466176bd821d100dafa6ef34150033d6fbd397b39

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0900d4e3af93501ca726c1044d73845ec2e4f2b71e2ad8dd07b3a9ae3290248d
MD5 5d1fe3aec5585bab34de96653d33114d
BLAKE2b-256 3fd0ad67ea5da8dd1923581f16b8df84e77c94bd23894226f83d9d1a8c915ad2

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 22f4779a6b0ccd87ee366dae3f076cfe3f15d4bdddf5b8b03821a483c5b3ffe2
MD5 abcf431fc5b12dfa6356843d21c6cb39
BLAKE2b-256 a2e859c07f67c48c1ccfbf611a16b3c3e52fe3544d1c95c0485ad04fcd7df555

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5fd3803b77224a1886bfe29f91175d41b22af89254b6f4119762dfdc779cf447
MD5 868639dc6e47b89af0738546c8cdad0f
BLAKE2b-256 3d53c9db4ed3a68a8645d106b130534a8f4a5d9c2d1fa5f504373f1ec36e68da

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 6e0d454c4dc673761a5848bfd90b3133a02237b24b2260b51318b060b07b7827
MD5 6e1837c6c2c1305214789bae987b7b92
BLAKE2b-256 57ef02d516408c14f651701b4d51dacec1f067c691012fdfb8cb21b559acd5cf

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 0b5d38fbeffcb2c3004d336ec09dcba8832c75fdb67e72bee677d05755a3b367
MD5 a83281d70a088b31ce60a305ac01f27c
BLAKE2b-256 5cd68dd435a3a16893d3cc0c0d861b3b488e5cd41ce5584218784364ace1146d

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bad50a58c747312e9963ecde28b9ca31c71e540b66329b0400d29672c20f9bd3
MD5 e58dfb8b95b3afd40f624fc3f7e8da20
BLAKE2b-256 f887dff6338668483fcae53b1c416afc69eb5ff3ab702a952d38aea31ba45639

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0dc7c7098b63398d74000f0fee4b832422ecf3cee3d52615cff1196a70399ba7
MD5 ec74567e02d82d19c5a8a3d5c9a8a904
BLAKE2b-256 bc3fba55be8a5c691bced7d8f49e20a98c2b325d7066bf305e5fe9a863041246

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c944873035c3e269b22efb7277c45c12c2c2d804f8030d59c07718878d0bc5c4
MD5 7a672417d1765cd9309aea20af9b2951
BLAKE2b-256 70407b62d8ed318698cdd0113e7dee40bfc24075cc685c04fc9926b55593733f

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3b4c5f4bf1b9d1233dadd669b2ea4c0b31e8e0c448275428aa19664b33a94379
MD5 0ce8b4f36f4a2bd939f8afcb7eb9666a
BLAKE2b-256 a736dbb165407306adca856a4a98ffc03f0fd1718f47b0288032fd17f6304a6f

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6d1d21fb009891688148d8cd192bda59c1aad90965efad5449c5bf9f5a4bfff6
MD5 8329b821a5cb41fbdd65637d9836e32b
BLAKE2b-256 b9d657926aaf83c8c4aefad6c8e5e81d65f1711db734120186f7c2b1b8a8c3e0

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 14.1 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e67171cab79937b29453cd4b32c664fb171b21a1425590f70ea6a9756e251366
MD5 3c74eea2201ae11fa077dbd7dd34ed9f
BLAKE2b-256 48809609369fb3ba681a566d337ae23edb33c51b3b95999b5ac363a0cb244014

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: bitalign-0.3.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 14.2 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 0268f4fdf7b3906c9e64980bb92f7ba96e60e08b31f8d91f825cabd41701f2f8
MD5 02c614c9b910e18cf3468c2aa90155c4
BLAKE2b-256 068616bad113bc9ed68b48c393fb5f24eac4ec9c1982f1a8839df42a139d30df

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c6911cd019c24a7a6605c8d16fdb5d887b5b516e4bcadce57966304e3b6ae300
MD5 4488fb03ca6099c5633efc46dda1f722
BLAKE2b-256 2df91a2041d4425c3548903fa8918d96bb732561f2757c1cc3a9936a0a0af72a

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0289e89325f0bd13425c49381608924f10dc6d1c23fd3819e10e42200667261e
MD5 efd40cf09fa0ae5ace061ed685aea547
BLAKE2b-256 a7f86f1805c72f607a197230b3bbfb9c2a5e42bd02dd44b557fe9ebbf6ad8b29

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 caea9715f10f3b9ad22e12cc2f3e9ce19716c683975ae6d58af7ef4acd93c050
MD5 cd011eb41aa58c22310da71e84a7b9c8
BLAKE2b-256 4c68c752dd05804374b273a4ef33e2ffa588f17a39f98ac0b3011257cafc3432

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 02051b78544c0cadd7333e15c6cced264838abae9d28ef7dfed92104541ee7e7
MD5 7a1d5432be88ab3a20d6e36e3f41fc4f
BLAKE2b-256 0115bed6bd85a9cbfc12b6e45dfc301a01f601e515be54a4fc9bb231c3124531

See more details on using hashes here.

File details

Details for the file bitalign-0.3.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for bitalign-0.3.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f40fac58e456a943eec6826ac667b0a995720dfb1cf1559c225e43a40e5bb994
MD5 dba66cf6434d01a0a68cfe980421817e
BLAKE2b-256 51394b3dd1649d8dd66d4962a2a4e8fbfaceedc451b3e7170039916252f1bb05

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