Skip to main content

yEnc decoding of usenet data using SIMD routines

Project description

SABYenc 3 - yEnc decoding of usenet data using SIMD routines

Modification of the original yenc module for use within SABnzbd. The module was extended to do header parsing and full yEnc decoding from a Python list of chunks, the way in which data is retrieved from usenet. This is particularly beneficial when SSL is enabled, which limits the size of each chunk to 16K. Parsing these chunks in python is much more costly. Additionally, this module releases Python's GIL during decoding, greatly increasing performance of the overall download process.

Further improved by using yencode from animetosho, which utilizes x86/ARM SIMD optimised routines if such CPU features are available.

Installing

As simple as running:

pip install sabyenc3 --upgrade

When you want to compile from sources, you can run in the sabyenc directory:

pip install .

SIMD detection

To see which SIMD set was detected on your system, run:

python -c "import sabyenc3; print(sabyenc3.simd);"

Testing

For testing we use pytest (install via pip install -r tests/requirements.txt) and test can simply be executed by browsing to the sabyenc directory and running:

pytest

Note that tests can fail if git modified the line endings of data files when checking out the repository!

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

sabyenc3-5.2.0.tar.gz (225.7 kB view details)

Uploaded Source

Built Distributions

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

sabyenc3-5.2.0-cp310-cp310-win_amd64.whl (36.7 kB view details)

Uploaded CPython 3.10Windows x86-64

sabyenc3-5.2.0-cp310-cp310-win32.whl (32.6 kB view details)

Uploaded CPython 3.10Windows x86

sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_i686.whl (923.5 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_aarch64.whl (680.3 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ ARM64

sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (467.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (435.0 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (147.7 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

sabyenc3-5.2.0-cp310-cp310-macosx_10_9_universal2.whl (83.1 kB view details)

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

sabyenc3-5.2.0-cp39-cp39-win_amd64.whl (36.7 kB view details)

Uploaded CPython 3.9Windows x86-64

sabyenc3-5.2.0-cp39-cp39-win32.whl (32.6 kB view details)

Uploaded CPython 3.9Windows x86

sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_i686.whl (923.3 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_aarch64.whl (680.1 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ ARM64

sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (467.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (434.8 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (147.5 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

sabyenc3-5.2.0-cp39-cp39-macosx_10_9_universal2.whl (83.1 kB view details)

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

sabyenc3-5.2.0-cp38-cp38-win_amd64.whl (36.7 kB view details)

Uploaded CPython 3.8Windows x86-64

sabyenc3-5.2.0-cp38-cp38-win32.whl (32.6 kB view details)

Uploaded CPython 3.8Windows x86

sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_i686.whl (923.4 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_aarch64.whl (680.2 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ ARM64

sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (467.7 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (435.4 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (148.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

sabyenc3-5.2.0-cp38-cp38-macosx_10_9_universal2.whl (83.1 kB view details)

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

sabyenc3-5.2.0-cp37-cp37m-win_amd64.whl (36.6 kB view details)

Uploaded CPython 3.7mWindows x86-64

sabyenc3-5.2.0-cp37-cp37m-win32.whl (32.6 kB view details)

Uploaded CPython 3.7mWindows x86

sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl (1.0 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ x86-64

sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_i686.whl (924.0 kB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ i686

sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl (680.8 kB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ ARM64

sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (468.7 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (436.2 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (148.7 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

File details

Details for the file sabyenc3-5.2.0.tar.gz.

File metadata

  • Download URL: sabyenc3-5.2.0.tar.gz
  • Upload date:
  • Size: 225.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0.tar.gz
Algorithm Hash digest
SHA256 00e150f3bd0bff747c03fc76e46cd6c86749616c14db58d02d5fb25ff6816a4c
MD5 4ae0af9bd67a75cf2603487c2e6002b5
BLAKE2b-256 c1aecdd6d8028dae2b8d53d3be6ab57c9096e21e1b01501e31b28f6418cf3f55

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 36.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f81b97b57860daf5cc6c6bb169097f5afff240d9999af4ea4a52d68b4ef6bb06
MD5 4c65e9ac76cb2a54ac678029b5c818bf
BLAKE2b-256 feabb1c11603dd176c7a35f161ed4c85c2382e770684447144fca288a02bc989

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 32.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 8cc0a2778e9e696451e013d3f0e23e4243b83e8faf5286c080555e6b07961ce9
MD5 2b206e4298240accfc81f51598c7b4ac
BLAKE2b-256 ff77b439a75103df99ac850411c9ec320de839f455a843b76d5a8d7d652d9e02

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c735e415b972c4c9b158fd069094b0208cf7bfbfcfaa0aa3adc4685ce1d3e1f1
MD5 7cf396390bce5ebc69ad9dfd6549e017
BLAKE2b-256 a672c81e8b1839940cc385c7d8f5685ed42bcbd7c9ea708b662bf489c0d9ace9

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0c5cc413e1ee7a630cb2d5d6e8274d6fccdced3e0bf8b07a23bc0b7cc925a20c
MD5 737a988ffb12a1dcdd94f43b838d361d
BLAKE2b-256 31449d4d880b6af14fe5ff776f6a374aee24817b8b07994ffdfcb17b62df57ed

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 15ef4d8dcd6a277c2876d90558aff8aab7562e89e3b4a2ac906404fd1183d325
MD5 6457fabbf4aa46dcec8afcb8f9f8d212
BLAKE2b-256 dcacfd98cdf48a0088834cc69b9e4bbabec8ed0d02377244bc72ed5247491cda

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 58dbc050e2982d6f164a228ed0701e25e2b2c13b4c08e0f04e5e6ecf94966bff
MD5 c5ba8d1124d9cf0bbeb126096dfc8521
BLAKE2b-256 117b46b8f4f11695d2e2d681386972138c628e44aad1bb91a29e7b776aec7b60

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 38b1fe38bd046ebcbea333f275402bc103981f3eb0b1f758ff827b4cf4aaa281
MD5 9958bb2674cd3ebd76a0d979ca23c417
BLAKE2b-256 46c565d9b2a934aa055017f5cf8e5b88c88650dddc3eca87809f6c54041c6ae1

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 068c30a26a2678d321c8683f1e3882b812f07dd2c8b124d981947101f82017e8
MD5 16d5fa20d728e9407f8bdfe997c9cd7c
BLAKE2b-256 293d93f11fdaaf8f75755d38963c2d8851db1720b405d4c2b9de630717445879

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8db8a0aa592bab9cb06add845d740cf682abc3599d182c2d936311a1a3959a7f
MD5 bb8d213d3117bced43e2a9abc0a803d2
BLAKE2b-256 52bed49f58da2e6a8dc0f83155666347edcdc77afe6f5ce44547fe1dadf5dd01

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 36.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 76cf5f4b2ef2112ab61858bc2f65c91f02208d4df6935a8d1758d9e6826a2884
MD5 5ab5f07843b1ca7d0e3438a7f1867032
BLAKE2b-256 13ec266e43e4d2327b5e9afa990fba53f45c29fea93a1d342bceeea4fab61d98

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 32.6 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 30e82fbed256d6ac19cc9b78952dad50547ce672efebfd493ca5effc57cb7e5c
MD5 13d05d06c6a6664ac3332b8b294d75b1
BLAKE2b-256 15319acbd6fd44f022a83a5d37275d77add730425a3d153c5a2890eee2d1bfb4

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 2aac8d885ebb5b71a190179b81873ab0277b97051e83638ea351a84c6e772efa
MD5 d0348ace8b11757abcff2f2780318a43
BLAKE2b-256 6f69bddd97a1e4f73b7a35850c6fb739093f28a0258619cb914cdc9f620b3dad

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 552a4a466f81a3a2438bfcd99e02812ceadaed3a0ddcacc37ac3687ffabed697
MD5 2b2d23dc939da4e103ca40bbac1e45be
BLAKE2b-256 43b6c072ef268185dc3ae6b5aa3c46b0cb781a4a1f19c1538dc08dedf5e443d7

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 725d4cee6f1dd22bfe47c2fdafd1692d090d1e2d621e5d58a8f50edb5e39fe76
MD5 ffe7ae247a2314887976c75b7217d346
BLAKE2b-256 6e43a7253f62d995283dda607546bed9231a4b81b5c54c5a072a39d9e7151a20

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 365151defee6d9a504ecf8c25616a5b6d8424440c11339b36b004a55e6d49e3d
MD5 fd12c0e18690c3902d12740427032176
BLAKE2b-256 2a550b413ab04e7dc176fd3a28aa720ea976a843d942429eb16056e43fe5bc33

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 65c242f8d02d09ba93cbd64485e6d134c5bcedd8aa1109052a0f4a129c277010
MD5 96634c3d2fe3ad71cdc1cd9571e5856a
BLAKE2b-256 b14bf736c1d4b91b91e1adf15158acfb2f7ce4370ca3f4cc4bb9c267e2fd2e2b

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d35f6ec140de5d6f7d136ee4381d50ff3089ef0944abf461c4c54d12d4bc6fa1
MD5 1b5680279e3237843822f3dc4cdc4d8b
BLAKE2b-256 bb35a04e39c043eea78a2cba3b77e8a936cd9c3dad9d00638bc18f67fe5a0060

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 c6ed32dd61ffe2c0d11e699b0afc0e68170b5a628e67a224826b041e79a97518
MD5 54633fc21302571f58bdb95058082acf
BLAKE2b-256 c515e933d953536a83ca595c15434ce0dd2dc942f150cb5a90e8eac694266a87

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 36.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ea7ee3464a2aa4f6158868d53cc6fc8ce8fd5cdb30bfaac11aa2b543d6bda581
MD5 e937fc453c52510e8b0dff1df38c9206
BLAKE2b-256 d1eb510c4b064cacd077be6788795dc486781652d8e9b9fea6f0faee708c95ae

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 32.6 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 c6e3eb7b74ce1dabc726c4319fe3cb0bae9637bd17bfbd1fb5061ff32afeb1d2
MD5 62ec14bb78b2ae715c3c28152d72aec7
BLAKE2b-256 114b050a7964299e0539acf44789e6f2e4d28bc21769ade1fea9f548489655b9

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b4e05c1b243020ef6e044abca77ef279bced5534e94fba84c20ad61531d02a93
MD5 efa96063eaba08d681280c32048812fb
BLAKE2b-256 64d16c9a82f1ff2b8b79defda10c49bba0b48e7c452b16a674a9454f9cfdfc75

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8a38e8266baf310f6fb399f9bf5fd9e90b1789ddfcd75b77c20528e63b29ed44
MD5 e0c3299bb6f1c8849320cc643e4335f5
BLAKE2b-256 bccb9a9038e2dd76de423a315c0b0c776f7950be0d52ba291120abfbc30870a3

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 49491b140a898cd9bfaf6c5b7834e9ccf5a5315574cce73697ce93ea738d73c0
MD5 3b4c0d41fa1e964defa3efe57168b362
BLAKE2b-256 30caa8429d1e5a31c5fdd08ae6d3606df057a69d1ce7cef3f2cbc7afbfaf8207

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 33b2e73f008493a622bcc04678243acb59796b2f6507914e7a99313bfeb2ad60
MD5 a5c035e883d9f42b9eb8f2551aa186fa
BLAKE2b-256 afe533fb0779a81b265f1b34a6d4926aa56e4a07e6df7997a83cbfa0b9ffc806

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b81ae538b9fd4659d6166388862c406c3cdb2310ddfa842b5fdf12607a5fa1e3
MD5 bad3ff5e0720697fcac2643b30887246
BLAKE2b-256 e8feede3efe40f2f7695e8cb8c4b495d2338511ef174ff11afefcc0b3077c4d3

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6fdf74e2049987075c3485e183f95f285dc27c3028244a2c4faa96e4490ebb82
MD5 84fa543396bf94f878861c98273fc6a5
BLAKE2b-256 9882c4d0aecbdd3b87121a31e82c7a0edf4948925ae6642d1fe32066c9211733

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2fcba35ba8223b328233260bc33ef8aafc5484e15de7b7d4e97a8afd3c7b7aaf
MD5 2861934db64cc2576880c84b724bc881
BLAKE2b-256 5bc647a53639421dcc325f7bd3df38d9a6c3a5eea2fc363a0c7d3a832dad2f2d

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 36.6 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4b380e43a8a9561de9a558d6cf1f2a139ec32cb5b1f2d5f59fddff2c2875992d
MD5 725bbf0e17bee17fff03332cc7d13ffc
BLAKE2b-256 f6e5bfdcc45b9127bf38fc4323c3de63cdd1d6428b6b0544a00b5ec756d41f5f

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: sabyenc3-5.2.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 32.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 73ac75a3191b3e8b960f4b43adc02acfe6e9503b6bcf4a7448ed012d25dc3a97
MD5 633ac98f9712b0aafdee415b1118863b
BLAKE2b-256 0d97eb417b8bda37cdbe30ff2a82a8c76a4882ef70efcaace66dd10e5f8cbe5a

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8409b3f058d8e067bc63a046f9497ae7f2eca10c3f9514f2234d1bb66ee20733
MD5 22f2cfdcabdbf5b955f489cc471888e7
BLAKE2b-256 703e6c253a7147f39d8ffc9d5aa6c60d2e86df0dee272cf506fc26eeffdbc794

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 a1d08c6c3588f527a8c35ae90a253ea96f524a81bc7eb14abb1fb7db1f9269c4
MD5 cbc7ce447cac7a8549678dce6d587177
BLAKE2b-256 d24278f73458d99c3f8af6e49228ee9a3d905bfc37cb798e0ab464aeea2ae257

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 7649bc216c03439d975ef9ce005b1515ab169c4ce3d112fc910b6b2ff4d39db9
MD5 3943d655fa4b18f7ffbe9f75b6195217
BLAKE2b-256 b4b2cefb94aa05afe3d22a07e99c25262552ccf898b8f48292debb3c6d69aadb

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 108da993749977f5d39631230e99d3489b80107687f302802d5671057496b35b
MD5 bc2b74b75891a3d129e611f9d7012d14
BLAKE2b-256 01a4ed4cd842834eaecd22b2e10f22e65c2afd2602c5fe85b466321c3a03f0ef

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0be50a060bb29d73066f89fbc4a608122c7052d53d9f192d7b35d3efaeed10b4
MD5 271cb0729e3bc7228e15422f33e2ba9c
BLAKE2b-256 6d58ab5784911514ee07b8b1768742fd40f03947ea14897cdbc1dc1b85c5ba27

See more details on using hashes here.

File details

Details for the file sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sabyenc3-5.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c1a3e0f3ab2e75e9c11706520ac3838e720c6992f82109f1b98a9b437f177517
MD5 91f953bf4abf0d661058e3e9463aaaad
BLAKE2b-256 c98859e22ca6d19009fbd59ed23bf60f8986238759f91fbef1f908198be8a614

See more details on using hashes here.

Supported by

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