High-performance Rust reimplementation of GIL-blocking video/image operations

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT
  • Author: bghira
  • Requires: Python >=3.11
  • Provides-Extra: dev
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT
  • Author: bghira
  • Requires: Python >=3.11
  • Provides-Extra: dev
Classifiers

Release history Release notifications | RSS feed

0.2.17

This version

0.2.16

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

Download files

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

Source Distribution

trainingsample-0.2.16.tar.gz (97.1 kB view details)

Uploaded Source

Built Distributions

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

trainingsample-0.2.16-cp313-cp313-manylinux_2_39_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.39+ x86-64

trainingsample-0.2.16-cp313-cp313-manylinux_2_39_aarch64.whl (11.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.39+ ARM64

trainingsample-0.2.16-cp313-cp313-manylinux_2_35_x86_64.whl (12.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.35+ x86-64

trainingsample-0.2.16-cp313-cp313-macosx_11_0_arm64.whl (10.1 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

trainingsample-0.2.16-cp312-cp312-manylinux_2_39_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.39+ x86-64

trainingsample-0.2.16-cp312-cp312-manylinux_2_39_aarch64.whl (11.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.39+ ARM64

trainingsample-0.2.16-cp312-cp312-manylinux_2_35_x86_64.whl (12.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.35+ x86-64

trainingsample-0.2.16-cp312-cp312-macosx_11_0_arm64.whl (10.1 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

trainingsample-0.2.16-cp311-cp311-manylinux_2_39_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.39+ x86-64

trainingsample-0.2.16-cp311-cp311-manylinux_2_39_aarch64.whl (11.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.39+ ARM64

trainingsample-0.2.16-cp311-cp311-manylinux_2_35_x86_64.whl (12.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.35+ x86-64

trainingsample-0.2.16-cp311-cp311-macosx_11_0_arm64.whl (10.1 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

File details

Details for the file trainingsample-0.2.16.tar.gz.

File metadata

  • Download URL: trainingsample-0.2.16.tar.gz
  • Upload date:
  • Size: 97.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for trainingsample-0.2.16.tar.gz
Algorithm Hash digest
SHA256 675fac356b2f4098780166da2fa20bd11dcb26f468e2bfbb1c0528e3e9f71dd0
MD5 94a93c95a188a8868cc94dbe0bf0d3ba
BLAKE2b-256 b76e4b26bd6b50a21ed9c17f1d4bf2ea2aa79045ec502db64eecf92abcee2fa8

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp313-cp313-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp313-cp313-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 fe0f4de0fe5e31a5000b1f040608fcca9b4fe27fb3681522929b0d123a3a1b5f
MD5 ff3f8f806bbf5b2cd014459671a0f05d
BLAKE2b-256 954b22a2b51fc6a83669f6fb294d5bcd3eca03c3166fb52805a40cbf21f2ad04

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp313-cp313-manylinux_2_39_aarch64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp313-cp313-manylinux_2_39_aarch64.whl
Algorithm Hash digest
SHA256 06a3fff24e512ef310f62f5dc9c90de280cd9c4a5188776067a993d1385f6603
MD5 816db0c77d3d92d0650f4286e77d9b3a
BLAKE2b-256 ff3034c7eb986e38fe174b74e1ac927482939f8a6d25f10c2bfe3f37ca184bf6

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp313-cp313-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp313-cp313-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 39832c6c690109726495d3d361ca16f4e74f33e5a0ad1047df53d1ef5ebfd727
MD5 162cfa69892f34114e8d540a49b570c0
BLAKE2b-256 a64a4d893c86d91242965ff4c33564c92f47e758c98e01bd71378fc4b6156e19

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6d136f6740e5241f3b9121749962de07d32532a05d49862071071787f741a5cb
MD5 e32ed2439c6f424c304f4dad162cdcbe
BLAKE2b-256 cb2091d507eff315a59841eaff17fdb54be7b833dc909f43511dac5fbe0fad40

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp312-cp312-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp312-cp312-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 d9868d90c7eab562bc443befad4521b4b21aff0a54fdbb6b61ab21a78611989d
MD5 9aa937ce1aa938d6579f085ec84c0839
BLAKE2b-256 182360a2c1b19e9200756b681b77fe1be8296d00628abfd5128dbc68352d90b6

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp312-cp312-manylinux_2_39_aarch64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp312-cp312-manylinux_2_39_aarch64.whl
Algorithm Hash digest
SHA256 3cb652554aa12105c11db0d6b968424242626af761108e0d319473b40ddadbed
MD5 f7af2ed90488db5c7fe125822b1e491f
BLAKE2b-256 25409acb21981450898653d9063fe07bf07a178d5e8306a61601b8dd556e820d

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp312-cp312-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp312-cp312-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 c435933a05d2601eb6d88827944e840999fe6dc3f947f587d0b3919e2b74800d
MD5 c56b2aae0c5eca5933baf6e627d77744
BLAKE2b-256 d765b1be3aa5100f12d59b465e1d8c7e628ed21710913517a7b2f8035e35db26

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 80fcd0a4e64ea72d6699658263506ff9adabcddce5cda6698558be78f2b5344f
MD5 716ad2fe61e8c7ff0f42792bd8156ea8
BLAKE2b-256 1876792023ebbe2cc35080102173112e923d481ef04ab839601a3e72e09dd42e

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp311-cp311-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp311-cp311-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 e334574ab239fa0882fc9d9dacc45b1bafbcc22b2e835aa44cc2ea70f6a4bf49
MD5 8708fa1411e36f5d869030ea07760e30
BLAKE2b-256 63c7c6036c4432279f899f083548d56c98d470c4d1fa2018615ec9cb71d68178

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp311-cp311-manylinux_2_39_aarch64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp311-cp311-manylinux_2_39_aarch64.whl
Algorithm Hash digest
SHA256 6352b77ba50547075fc5c867759ab2efbf77ca45a3cdb8251b53a47c3ca3c79c
MD5 af459edd9694e231fd16ae4ce73e18c7
BLAKE2b-256 d0b966468ce9d3886b6e61f6319d740cf5f2b96631e7f7c946fdf29871b4475f

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp311-cp311-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp311-cp311-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 ccd37de3cd28d479d434e616685b7c10b706605e2c28fd5bcf8a9fd66de500ae
MD5 0d152b68f11dfa7f2d33028f4b9788ee
BLAKE2b-256 c81f79262a936418e1f49fed8b34888fa82bfdf44cb3d17d0c5889fdc595181b

See more details on using hashes here.

File details

Details for the file trainingsample-0.2.16-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for trainingsample-0.2.16-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 58f397b78e6bccb3edc602702d426bd5603e6690d26744d11e76e37ca2851b13
MD5 154656a0203ad296ae5acfe5c174ed1a
BLAKE2b-256 899eae7ed72a6621eccfcc0fca295b1ad959be7d528f82a2e999aa6a91a9ad82

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