Skip to main content

No project description provided

Project description

Python bindings for ai-companion (only backend, without WebUI)

It is not recommended to use it in your serious projects - I recommend using ai-companion or something else

PyPI version

An example of using the library on Google Colab

An example of using the library in Python3

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

ai_companion_py-0.1.5.tar.gz (35.6 kB view details)

Uploaded Source

Built Distributions

ai_companion_py-0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-cp312-none-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.12 Windows x86-64

ai_companion_py-0.1.5-cp312-none-win32.whl (5.0 MB view details)

Uploaded CPython 3.12 Windows x86

ai_companion_py-0.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-cp312-cp312-macosx_11_0_arm64.whl (6.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

ai_companion_py-0.1.5-cp312-cp312-macosx_10_7_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.12 macOS 10.7+ x86-64

ai_companion_py-0.1.5-cp311-none-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

ai_companion_py-0.1.5-cp311-none-win32.whl (5.0 MB view details)

Uploaded CPython 3.11 Windows x86

ai_companion_py-0.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-cp311-cp311-macosx_11_0_arm64.whl (6.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

ai_companion_py-0.1.5-cp311-cp311-macosx_10_7_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

ai_companion_py-0.1.5-cp310-none-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

ai_companion_py-0.1.5-cp310-none-win32.whl (5.0 MB view details)

Uploaded CPython 3.10 Windows x86

ai_companion_py-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-cp310-cp310-macosx_11_0_arm64.whl (6.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

ai_companion_py-0.1.5-cp310-cp310-macosx_10_7_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

ai_companion_py-0.1.5-cp39-none-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

ai_companion_py-0.1.5-cp39-none-win32.whl (5.0 MB view details)

Uploaded CPython 3.9 Windows x86

ai_companion_py-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-cp38-none-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

ai_companion_py-0.1.5-cp38-none-win32.whl (5.0 MB view details)

Uploaded CPython 3.8 Windows x86

ai_companion_py-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ai_companion_py-0.1.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ai_companion_py-0.1.5-cp37-none-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.7 Windows x86-64

ai_companion_py-0.1.5-cp37-none-win32.whl (5.0 MB view details)

Uploaded CPython 3.7 Windows x86

ai_companion_py-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

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

ai_companion_py-0.1.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (9.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

File details

Details for the file ai_companion_py-0.1.5.tar.gz.

File metadata

  • Download URL: ai_companion_py-0.1.5.tar.gz
  • Upload date:
  • Size: 35.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.4.0

File hashes

Hashes for ai_companion_py-0.1.5.tar.gz
Algorithm Hash digest
SHA256 871f4b8dfb7779be782a57863347b09d54f0942e6434893490139d66d7092394
MD5 c15985dd44c2233c6d624690ebec6f58
BLAKE2b-256 c636c63ef658566e1072b9b66d0581e07283199d7e51a50bf6dcf1073592d13f

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b7596051c88740f6c861fcb9acc4d0fcaf3216a3a0ae680c95f31205ea5515a0
MD5 55ae215fc7fe74da7f3b56dda9af324b
BLAKE2b-256 56ccac77ace67ce9aa71b29628d4dd094631552b3540cd0f326a2a1d71eb1ef7

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1adf64efd1d526f3deb80f0ce7287d8ad4fbb8b70c58d7744cb087ad3fc89c88
MD5 6658b0deedbab9fe4a53a9677b4cb500
BLAKE2b-256 d9560096fef6c1ed592ba8214045bf05acf41cafcc96b0a50b3ab9bf6a19a644

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 722981b12ef564abbf7d25f59a2088317e0aa2da22a4542144291dcb42fec891
MD5 8d76e8adbe72dc6a2fc4afad76ccd49a
BLAKE2b-256 b655183d8b800582030382e12f5a006ec0d4c4473e84b7a7c33710367c2380fd

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e5763fa73212741d36f9b2b6ac29f359a44ca014b9bc1c61b6276a3a34c5cc3e
MD5 017cdb4478867a27384e6c77727e512c
BLAKE2b-256 27a76627c371b03253f30b1d910aad2ebcce5922e4e98a313105f18ba87bb4f2

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c0af04be8b50ed9ad8a20f24fae833f71de8c5a22d1a027424413e1687761ee8
MD5 1729fa661f83c3b8d8866cc99902d4ff
BLAKE2b-256 68026076c59c5c34a208b18384410de1462aec382be7f73661e8effe15ddacee

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 11f361dd4b1ed86cf7475b192abcf9c883b6c76824bf02c965fe79833429329b
MD5 43a242180c142201b39ded505cca04e0
BLAKE2b-256 62335a16deda6344652c02d10280eec94a1bafc6156df271c66a3e04d29cc0fa

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eafac679b22f06749536ef63c8f64266403e110beb4c3ff4026aabf5f15e98d3
MD5 97c35722bee56bd58adebaa4bf8e2f05
BLAKE2b-256 ca9a795a8315cbaf3a160619b21f9a1dcf0448f2cff32a7b2b17065ec432c033

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 cf9054ec80a4243270722e66f8888b2024cf0853e5fc6e61b172660b20fb3b97
MD5 eacb546d7a74e6c7536779010dfdd0cb
BLAKE2b-256 e84dcaa520c1fb19e74835ee27fc2da46c964a2f716cb97785d7b067f2109e0f

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 da1a4e89db34e9dbf87996469906de35f686c6fda38867654a48d53d98f43d30
MD5 ec76bfa1bae7d3f53ac46f9eabf6d5cc
BLAKE2b-256 ab3a32eb764dc3817c5d4f3dc0bdf30677d6ce24e4843390546c0f0ce8eccc75

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp312-none-win32.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp312-none-win32.whl
Algorithm Hash digest
SHA256 170e7b289c2902bbeaf14f590982a4fce9b963d10616c21ab6a5e7d210a4c978
MD5 e905cc3c6dc9439615c9b6c36d5b6826
BLAKE2b-256 1899d7d472c39434eab1dd1bce6f66bf8c931200dd73aaf6ad7658d30915b675

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cd1393b652e8eb05de3ab47c86c8f941f9a5f9e97dc693d47ad5d81038cdd95d
MD5 84e48701d4c180b3b41f6e86cba4b4ee
BLAKE2b-256 85cc964f4d8576c1f537002340b9f7914a04853222ebf25ec81ee27ce4d909f3

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5ca292b01237352de4b6bb7a359244c89fbd0d02ca6002cca6e1ac0e184005ec
MD5 e655a310d1decd909922b1bd6cc1f0de
BLAKE2b-256 8d2786d4c34b8ed74daa404228da5861460fd28fc442c8b18a8db7268d068778

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 33de03b66b5dea8638da844980d826dfcdf64c91e9619df5ef403177b1ab1a9e
MD5 d61ebfd3fff4939fdd8d635aa33e79a4
BLAKE2b-256 457abfbd9d951adae8df77f817cffe85d2bb31f8d74cdbc34a6f006e2802379c

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp312-cp312-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 ac718888a2f2f23f9a8e35fcd4c77bd9cfef320576c4f726ad084865dad36ce7
MD5 a84dc2147032bcb5eb8a9fdbe6fe07e4
BLAKE2b-256 3392913a9a2b6c0b4162cd0188dad9f12e1600d674018db455055c4ef031a23f

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 c1a46d9509881fe4c9cc88bcc3c1b0a0abce7a2e556ffa9f18877f2bb1b3d888
MD5 be1813fc973ebcec2ee1b87e42dfc995
BLAKE2b-256 706a698f9e761cbc7d2389cf2bcec77bfaf5e82933905f94a9ccb9eaa89685e5

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp311-none-win32.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp311-none-win32.whl
Algorithm Hash digest
SHA256 b201afe96ecd26606afeba39445e20ce270258ee9d67ba58f43342c010139014
MD5 c779f9067a5510c65737eed6c7340971
BLAKE2b-256 854757afee304aada6b5cd8f768c213d17e06c9b056add3771de2f86537ab7e3

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7b8d8428a94cb52678ba6eb2bee8f302ffccbae5d2bd252fe82de0544972821a
MD5 3bd68f7939a98fc450b3f7b0ff5f03d9
BLAKE2b-256 f920e32df6951c2338181f25c8e2c01dc48e897c6ebec70e2548b90035fe45cc

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 39519aaf9299a88873c784cfda9086c6860ac770edc781498740153f816a2569
MD5 0bc6dfbfc56d3971ccf38777be3c008a
BLAKE2b-256 d0dfcaf87305dee166d8272e7186ca5467abae50008a96adbcf951a3895e2ea2

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ef649b39442f815c3836dc2e3781b5927901d5ed9b348e5316ad61222ca88f1c
MD5 cb4a271162a6ad663a50f092415965c3
BLAKE2b-256 d6645debf4860b047400b418b732ce06cd8ee58a72d611f4efc1d4fd0f752669

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 80bb41140e8f043de770d7ee240fed3bfb8458dc6fb6cef4fef780cf13379676
MD5 f35f5dd4519c6ffb1169bb472cba2d6c
BLAKE2b-256 60e26e06bf816eaf98e757df5c2e055c2ea0fed8e53ebb4bdae53398361ca4d1

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 e8e9a2e91616599ab03e63bf8365170ecb99469e144d8a74bb0a6e0c2f979d8e
MD5 8b813d78d45aabce0f10e4c6299a286e
BLAKE2b-256 04c1cc8545ffa34283d67e9ec4831be50c4206a76b38467f39f22f2ed96a483a

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp310-none-win32.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp310-none-win32.whl
Algorithm Hash digest
SHA256 ab59835284616b396c70d41a14ac73a650d8d8d5273b9a2ea4bf0f677966044e
MD5 a151f45700fd72d20faad3f6e58c7fa2
BLAKE2b-256 11eaab551540a3eebe24852579eed5460b7ee4e9bad884c4d3a989a71fd0df05

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 04504f12fbde345640728812332e5babf64f0960668322df7f39cd5cbdcdb68e
MD5 f7a29bc959d3e329c09ab21715f083d1
BLAKE2b-256 80149dd4e01c252e15ff63e8d56e60fe877d1e23b9714c33dd2fc02d90dd91ce

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 64fbdbd5332167013ba028a659ea2f2816d0a2bd010084d1d3fd08385cbd051f
MD5 7dee11e12b4690e2c27bfc03aa008d0b
BLAKE2b-256 6b472676e2213581bb5869578811ea61b6300795c58a86d45f761c30bf3fa2c7

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d0102b3d1f71d77b43e0a6e893b84e6b33188ffe5f80c39ad39463f39ce58c8d
MD5 3b0689b52548b0264093ff247a7cc536
BLAKE2b-256 5c139b78f8015e3746ea3acb75f50ab932c910ec812ef6fafc46b5f3fd74bb8c

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 5207a0f7d0be8d23947bb98acfd5f3c688b2dfd1368fe0bbecbc82a47db1bc8b
MD5 87119059b47abe41c88ecf20a98fb224
BLAKE2b-256 be91050ef210b190cb7f3542b26cb4d122794b3c8f4aee9d8b4553ab7893d443

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 288b57b590425aad36b44edd2c0130cc1671d59063acf0cdc88fdc61f7d64606
MD5 ae8bb15f22f432a51c739538a445e43a
BLAKE2b-256 49e78e1470f407e7a648b024be9951d1cf0a1f42c8f50db47460f20925bba271

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp39-none-win32.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp39-none-win32.whl
Algorithm Hash digest
SHA256 e80c27af5a3266b606280f04ca2aed9ecb9372a7c01683a101b149d5dada8dce
MD5 6e47ae0640ea8547ea2365816b11d660
BLAKE2b-256 c892b796f9409d6c1e6bd9bd88414e31a6f8c0f49627234bd299cfa040adb3b8

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c8db1a0b93ce9f5a7ca7f6e0a06f073d1b347f943732faa9a5d7b46c65c3baa2
MD5 44f5ec61c53a404ceff6159f1e108a87
BLAKE2b-256 cfdc7e2c2208702ca9bb072dfac850c6b48f7d827055eb8418bf48c9d0c5e1d2

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2aa4b5ffec8651650d669daf489838b5339f819bf4f9c9fede3bbc9f03d9acc7
MD5 6385f3b2d8266e50734c0fdd33c02c4a
BLAKE2b-256 1e9c8ce20f954aff74b727da437f817c0c414d6c7718568a071ac8aee6f84c63

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 fcc4a39fe19b32622870fa6080fcbb5c8f1f41f309149bf27beb271742f65204
MD5 078936c416a254ae9ada96f2cf54b936
BLAKE2b-256 13f17d3d7f7f9a48e95fe3079725b63c7ef115e4d379a0216f840b186d83b46a

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp38-none-win32.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp38-none-win32.whl
Algorithm Hash digest
SHA256 b1db824cb9dd21828e692962c35c3bbddf5fb631433258260075e6477611e7a4
MD5 46afbfbcc511a34db40e29db9cccb589
BLAKE2b-256 b87cf5060a51067693d1ecc5922e8373e211fe17d267ece3158958a82d0cbb7f

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35339cddc4f279e7081efe301f9c792f04dd3f74cf26d51598d537325c7360c9
MD5 cfb304198e923c39915c3e608b9559d8
BLAKE2b-256 1d13dde3f6b67072ec9cbbf30b6dc3f9bb04fec32b4b64be96eee022af295975

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5931f90c7ac32e551c3a929f681fd14da30381b3a576e29c3ed7b918b157813c
MD5 53fab05a5079a737e578d3db4a6b42e8
BLAKE2b-256 8772ef5c9bddf7410dff2dbcbb9bd1c1303cb494241808bf0c9b14d587f31e1c

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp37-none-win_amd64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 d37464669652539e354424fd2b6fc32f9bb759b0ebc4266c6ff772ccb4649abe
MD5 2e82a81499d3cfe306002321110aa65c
BLAKE2b-256 9e6a0091f1b267d8951a3d8caff63e7152e3aa4173c0aba3817e3d679e334e72

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp37-none-win32.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp37-none-win32.whl
Algorithm Hash digest
SHA256 03d7720db8e0bc36cc3f909ab7cee431d54a8a679159b56db39f5f18d002129d
MD5 5c1fb73f621c2e35c923e9e5aad4a8f9
BLAKE2b-256 f396d3a506629ea2693cd3b67aab8bf14c9815eeeab64a7bd286d1ccc2d5f47b

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 be1b9cf283795faa435e88312db50dce99357c6e3fda755b4a11d8103d262a14
MD5 41cf9642a9731196e958673e19d86458
BLAKE2b-256 4822509337c673204a8dc6fc6d1621ac6a29accb603cda4a9935d31c3fa05060

See more details on using hashes here.

File details

Details for the file ai_companion_py-0.1.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ai_companion_py-0.1.5-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ed3639d271e8d0ce4c383ad22c17683dbb302997eb7467688f511979c6ca83b7
MD5 a8d3ecac759c58791a83fff97d657a7f
BLAKE2b-256 d38eee48f3b0a5f5734b32290fbfc809158581c49aa73cd6aebaec069a4f01ce

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