cotugno/immich
2
Fork 0
mirror of https://github.com/immich-app/immich.git synced 2024-11-15 09:59:00 -07:00
Code Issues Packages Projects Releases Wiki Activity
92ad03615c
immich/machine-learning/poetry.lock

3780 lines
357 KiB
TOML
Raw Normal View History

chore(ml): remove setuptools from dependencies (#13762)
2024-10-27 10:10:55 -07:00
# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
feat(ml): model unloading (#2661) * model cache * fixed revalidation when using cache namespace * fixed ttl not being set, added lock
2023-06-06 18:48:51 -07:00
[[package]]
name = "aiocache"
fix(deps): update machine-learning (#13070) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-09-30 18:54:28 -07:00
version = "0.12.3"
feat(ml): model unloading (#2661) * model cache * fixed revalidation when using cache namespace * fixed ttl not being set, added lock
2023-06-06 18:48:51 -07:00
description = "multi backend asyncio cache"
optional = false
python-versions = "*"
files = [
fix(deps): update machine-learning (#13070) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-09-30 18:54:28 -07:00
{file = "aiocache-0.12.3-py2.py3-none-any.whl", hash = "sha256:889086fc24710f431937b87ad3720a289f7fc31c4fd8b68e9f918b9bacd8270d"},
{file = "aiocache-0.12.3.tar.gz", hash = "sha256:f528b27bf4d436b497a1d0d1a8f59a542c153ab1e37c3621713cb376d44c4713"},
feat(ml): model unloading (#2661) * model cache * fixed revalidation when using cache namespace * fixed ttl not being set, added lock
2023-06-06 18:48:51 -07:00
]
[package.extras]
memcached = ["aiomcache (>=0.5.2)"]
msgpack = ["msgpack (>=0.5.5)"]
redis = ["redis (>=4.2.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "albumentations"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
version = "1.3.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Fast image augmentation library and easy to use wrapper around other libraries"
optional = false
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
python-versions = ">=3.7"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
{file = "albumentations-1.3.1-py3-none-any.whl", hash = "sha256:6b641d13733181d9ecdc29550e6ad580d1bfa9d25e2213a66940062f25e291bd"},
{file = "albumentations-1.3.1.tar.gz", hash = "sha256:a6a38388fe546c568071e8c82f414498e86c9ed03c08b58e7a88b31cf7a244c6"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
numpy = ">=1.11.1"
opencv-python-headless = ">=4.1.1"
PyYAML = "*"
qudida = ">=0.0.4"
scikit-image = ">=0.16.1"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
scipy = ">=1.1.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
develop = ["imgaug (>=0.4.0)", "pytest"]
imgaug = ["imgaug (>=0.4.0)"]
tests = ["pytest"]
chore(ml): update pydantic (#13230) * update pydantic * fix typing * remove unused import * remove unused schema
2024-10-13 15:00:21 -07:00
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "anyio"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
version = "4.2.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
{file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
{file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
idna = ">=2.8"
sniffio = ">=1.1"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.23)"]
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "black"
chore(deps): update machine-learning (#13452)
2024-10-15 11:39:35 -07:00
version = "24.10.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "The uncompromising code formatter."
optional = false
chore(deps): update machine-learning (#13452)
2024-10-15 11:39:35 -07:00
python-versions = ">=3.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
chore(deps): update machine-learning (#13452)
2024-10-15 11:39:35 -07:00
{file = "black-24.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6668650ea4b685440857138e5fe40cde4d652633b1bdffc62933d0db4ed9812"},
{file = "black-24.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1c536fcf674217e87b8cc3657b81809d3c085d7bf3ef262ead700da345bfa6ea"},
{file = "black-24.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:649fff99a20bd06c6f727d2a27f401331dc0cc861fb69cde910fe95b01b5928f"},
{file = "black-24.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:fe4d6476887de70546212c99ac9bd803d90b42fc4767f058a0baa895013fbb3e"},
{file = "black-24.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5a2221696a8224e335c28816a9d331a6c2ae15a2ee34ec857dcf3e45dbfa99ad"},
{file = "black-24.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f9da3333530dbcecc1be13e69c250ed8dfa67f43c4005fb537bb426e19200d50"},
{file = "black-24.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4007b1393d902b48b36958a216c20c4482f601569d19ed1df294a496eb366392"},
{file = "black-24.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:394d4ddc64782e51153eadcaaca95144ac4c35e27ef9b0a42e121ae7e57a9175"},
{file = "black-24.10.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b5e39e0fae001df40f95bd8cc36b9165c5e2ea88900167bddf258bacef9bbdc3"},
{file = "black-24.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d37d422772111794b26757c5b55a3eade028aa3fde43121ab7b673d050949d65"},
{file = "black-24.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:14b3502784f09ce2443830e3133dacf2c0110d45191ed470ecb04d0f5f6fcb0f"},
{file = "black-24.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:30d2c30dc5139211dda799758559d1b049f7f14c580c409d6ad925b74a4208a8"},
{file = "black-24.10.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1cbacacb19e922a1d75ef2b6ccaefcd6e93a2c05ede32f06a21386a04cedb981"},
{file = "black-24.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1f93102e0c5bb3907451063e08b9876dbeac810e7da5a8bfb7aeb5a9ef89066b"},
{file = "black-24.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ddacb691cdcdf77b96f549cf9591701d8db36b2f19519373d60d31746068dbf2"},
{file = "black-24.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:680359d932801c76d2e9c9068d05c6b107f2584b2a5b88831c83962eb9984c1b"},
{file = "black-24.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:17374989640fbca88b6a448129cd1745c5eb8d9547b464f281b251dd00155ccd"},
{file = "black-24.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:63f626344343083322233f175aaf372d326de8436f5928c042639a4afbbf1d3f"},
{file = "black-24.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfa1d0cb6200857f1923b602f978386a3a2758a65b52e0950299ea014be6800"},
{file = "black-24.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:2cd9c95431d94adc56600710f8813ee27eea544dd118d45896bb734e9d7a0dc7"},
{file = "black-24.10.0-py3-none-any.whl", hash = "sha256:3bb2b7a1f7b685f85b11fed1ef10f8a9148bceb49853e47a294a3dd963c1dd7d"},
{file = "black-24.10.0.tar.gz", hash = "sha256:846ea64c97afe3bc677b761787993be4991810ecc7a4a937816dd6bddedc4875"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
click = ">=8.0.0"
mypy-extensions = ">=0.4.3"
packaging = ">=22.0"
pathspec = ">=0.9.0"
platformdirs = ">=2"
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
colorama = ["colorama (>=0.4.3)"]
chore(deps): update machine-learning (#13452)
2024-10-15 11:39:35 -07:00
d = ["aiohttp (>=3.10)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
uvloop = ["uvloop (>=0.15.2)"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "blinker"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "1.7.0"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "Fast, simple object-to-object and broadcast signaling"
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.8"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
{file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[[package]]
name = "brotli"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "1.1.0"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "Python bindings for the Brotli compression library"
optional = false
python-versions = "*"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1140c64812cb9b06c922e77f1c26a75ec5e3f0fb2bf92cc8c58720dec276752"},
{file = "Brotli-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c8fd5270e906eef71d4a8d19b7c6a43760c6abcfcc10c9101d14eb2357418de9"},
{file = "Brotli-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ae56aca0402a0f9a3431cddda62ad71666ca9d4dc3a10a142b9dce2e3c0cda3"},
{file = "Brotli-1.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:43ce1b9935bfa1ede40028054d7f48b5469cd02733a365eec8a329ffd342915d"},
{file = "Brotli-1.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:7c4855522edb2e6ae7fdb58e07c3ba9111e7621a8956f481c68d5d979c93032e"},
{file = "Brotli-1.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:38025d9f30cf4634f8309c6874ef871b841eb3c347e90b0851f63d1ded5212da"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e6a904cb26bfefc2f0a6f240bdf5233be78cd2488900a2f846f3c3ac8489ab80"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a37b8f0391212d29b3a91a799c8e4a2855e0576911cdfb2515487e30e322253d"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e84799f09591700a4154154cab9787452925578841a94321d5ee8fb9a9a328f0"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f66b5337fa213f1da0d9000bc8dc0cb5b896b726eefd9c6046f699b169c41b9e"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:5dab0844f2cf82be357a0eb11a9087f70c5430b2c241493fc122bb6f2bb0917c"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e4fe605b917c70283db7dfe5ada75e04561479075761a0b3866c081d035b01c1"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:1e9a65b5736232e7a7f91ff3d02277f11d339bf34099a56cdab6a8b3410a02b2"},
{file = "Brotli-1.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:58d4b711689366d4a03ac7957ab8c28890415e267f9b6589969e74b6e42225ec"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp310-cp310-win32.whl", hash = "sha256:be36e3d172dc816333f33520154d708a2657ea63762ec16b62ece02ab5e4daf2"},
{file = "Brotli-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:0c6244521dda65ea562d5a69b9a26120769b7a9fb3db2fe9545935ed6735b128"},
{file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a3daabb76a78f829cafc365531c972016e4aa8d5b4bf60660ad8ecee19df7ccc"},
{file = "Brotli-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c8146669223164fc87a7e3de9f81e9423c67a79d6b3447994dfb9c95da16e2d6"},
{file = "Brotli-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30924eb4c57903d5a7526b08ef4a584acc22ab1ffa085faceb521521d2de32dd"},
{file = "Brotli-1.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ceb64bbc6eac5a140ca649003756940f8d6a7c444a68af170b3187623b43bebf"},
{file = "Brotli-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a469274ad18dc0e4d316eefa616d1d0c2ff9da369af19fa6f3daa4f09671fd61"},
{file = "Brotli-1.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:524f35912131cc2cabb00edfd8d573b07f2d9f21fa824bd3fb19725a9cf06327"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5b3cc074004d968722f51e550b41a27be656ec48f8afaeeb45ebf65b561481dd"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:19c116e796420b0cee3da1ccec3b764ed2952ccfcc298b55a10e5610ad7885f9"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:510b5b1bfbe20e1a7b3baf5fed9e9451873559a976c1a78eebaa3b86c57b4265"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a1fd8a29719ccce974d523580987b7f8229aeace506952fa9ce1d53a033873c8"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c247dd99d39e0338a604f8c2b3bc7061d5c2e9e2ac7ba9cc1be5a69cb6cd832f"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1b2c248cd517c222d89e74669a4adfa5577e06ab68771a529060cf5a156e9757"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2a24c50840d89ded6c9a8fdc7b6ed3692ed4e86f1c4a4a938e1e92def92933e0"},
{file = "Brotli-1.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f31859074d57b4639318523d6ffdca586ace54271a73ad23ad021acd807eb14b"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp311-cp311-win32.whl", hash = "sha256:39da8adedf6942d76dc3e46653e52df937a3c4d6d18fdc94a7c29d263b1f5b50"},
{file = "Brotli-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:aac0411d20e345dc0920bdec5548e438e999ff68d77564d5e9463a7ca9d3e7b1"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:32d95b80260d79926f5fab3c41701dbb818fde1c9da590e77e571eefd14abe28"},
{file = "Brotli-1.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b760c65308ff1e462f65d69c12e4ae085cff3b332d894637f6273a12a482d09f"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:316cc9b17edf613ac76b1f1f305d2a748f1b976b033b049a6ecdfd5612c70409"},
{file = "Brotli-1.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:caf9ee9a5775f3111642d33b86237b05808dafcd6268faa492250e9b78046eb2"},
{file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70051525001750221daa10907c77830bc889cb6d865cc0b813d9db7fefc21451"},
{file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7f4bf76817c14aa98cc6697ac02f3972cb8c3da93e9ef16b9c66573a68014f91"},
{file = "Brotli-1.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0c5516f0aed654134a2fc936325cc2e642f8a0e096d075209672eb321cff408"},
{file = "Brotli-1.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6c3020404e0b5eefd7c9485ccf8393cfb75ec38ce75586e046573c9dc29967a0"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4ed11165dd45ce798d99a136808a794a748d5dc38511303239d4e2363c0695dc"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:4093c631e96fdd49e0377a9c167bfd75b6d0bad2ace734c6eb20b348bc3ea180"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e4c4629ddad63006efa0ef968c8e4751c5868ff0b1c5c40f76524e894c50248"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:861bf317735688269936f755fa136a99d1ed526883859f86e41a5d43c61d8966"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:87a3044c3a35055527ac75e419dfa9f4f3667a1e887ee80360589eb8c90aabb9"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:c5529b34c1c9d937168297f2c1fde7ebe9ebdd5e121297ff9c043bdb2ae3d6fb"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ca63e1890ede90b2e4454f9a65135a4d387a4585ff8282bb72964fab893f2111"},
{file = "Brotli-1.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e79e6520141d792237c70bcd7a3b122d00f2613769ae0cb61c52e89fd3443839"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp312-cp312-win32.whl", hash = "sha256:5f4d5ea15c9382135076d2fb28dde923352fe02951e66935a9efaac8f10e81b0"},
{file = "Brotli-1.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:906bc3a79de8c4ae5b86d3d75a8b77e44404b0f4261714306e3ad248d8ab0951"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8bf32b98b75c13ec7cf774164172683d6e7891088f6316e54425fde1efc276d5"},
{file = "Brotli-1.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7bc37c4d6b87fb1017ea28c9508b36bbcb0c3d18b4260fcdf08b200c74a6aee8"},
{file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c0ef38c7a7014ffac184db9e04debe495d317cc9c6fb10071f7fefd93100a4f"},
{file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91d7cc2a76b5567591d12c01f019dd7afce6ba8cba6571187e21e2fc418ae648"},
{file = "Brotli-1.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a93dde851926f4f2678e704fadeb39e16c35d8baebd5252c9fd94ce8ce68c4a0"},
{file = "Brotli-1.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f0db75f47be8b8abc8d9e31bc7aad0547ca26f24a54e6fd10231d623f183d089"},
{file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:6967ced6730aed543b8673008b5a391c3b1076d834ca438bbd70635c73775368"},
{file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:7eedaa5d036d9336c95915035fb57422054014ebdeb6f3b42eac809928e40d0c"},
{file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:d487f5432bf35b60ed625d7e1b448e2dc855422e87469e3f450aa5552b0eb284"},
{file = "Brotli-1.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:832436e59afb93e1836081a20f324cb185836c617659b07b129141a8426973c7"},
{file = "Brotli-1.1.0-cp313-cp313-win32.whl", hash = "sha256:43395e90523f9c23a3d5bdf004733246fba087f2948f87ab28015f12359ca6a0"},
{file = "Brotli-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:a090ca607cbb6a34b0391776f0cb48062081f5f60ddcce5d11838e67a01928d1"},
{file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2de9d02f5bda03d27ede52e8cfe7b865b066fa49258cbab568720aa5be80a47d"},
{file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2333e30a5e00fe0fe55903c8832e08ee9c3b1382aacf4db26664a16528d51b4b"},
{file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4d4a848d1837973bf0f4b5e54e3bec977d99be36a7895c61abb659301b02c112"},
{file = "Brotli-1.1.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:fdc3ff3bfccdc6b9cc7c342c03aa2400683f0cb891d46e94b64a197910dc4064"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:5eeb539606f18a0b232d4ba45adccde4125592f3f636a6182b4a8a436548b914"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:fd5f17ff8f14003595ab414e45fce13d073e0762394f957182e69035c9f3d7c2"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:069a121ac97412d1fe506da790b3e69f52254b9df4eb665cd42460c837193354"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:e93dfc1a1165e385cc8239fab7c036fb2cd8093728cbd85097b284d7b99249a2"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:aea440a510e14e818e67bfc4027880e2fb500c2ccb20ab21c7a7c8b5b4703d75"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_i686.whl", hash = "sha256:6974f52a02321b36847cd19d1b8e381bf39939c21efd6ee2fc13a28b0d99348c"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_ppc64le.whl", hash = "sha256:a7e53012d2853a07a4a79c00643832161a910674a893d296c9f1259859a289d2"},
{file = "Brotli-1.1.0-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:d7702622a8b40c49bffb46e1e3ba2e81268d5c04a34f460978c6b5517a34dd52"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp36-cp36m-win32.whl", hash = "sha256:a599669fd7c47233438a56936988a2478685e74854088ef5293802123b5b2460"},
{file = "Brotli-1.1.0-cp36-cp36m-win_amd64.whl", hash = "sha256:d143fd47fad1db3d7c27a1b1d66162e855b5d50a89666af46e1679c496e8e579"},
{file = "Brotli-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:11d00ed0a83fa22d29bc6b64ef636c4552ebafcef57154b4ddd132f5638fbd1c"},
{file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f733d788519c7e3e71f0855c96618720f5d3d60c3cb829d8bbb722dddce37985"},
{file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:929811df5462e182b13920da56c6e0284af407d1de637d8e536c5cd00a7daf60"},
{file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0b63b949ff929fbc2d6d3ce0e924c9b93c9785d877a21a1b678877ffbbc4423a"},
{file = "Brotli-1.1.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d192f0f30804e55db0d0e0a35d83a9fead0e9a359a9ed0285dbacea60cc10a84"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:f296c40e23065d0d6650c4aefe7470d2a25fffda489bcc3eb66083f3ac9f6643"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:919e32f147ae93a09fe064d77d5ebf4e35502a8df75c29fb05788528e330fe74"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:23032ae55523cc7bccb4f6a0bf368cd25ad9bcdcc1990b64a647e7bbcce9cb5b"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:224e57f6eac61cc449f498cc5f0e1725ba2071a3d4f48d5d9dffba42db196438"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:cb1dac1770878ade83f2ccdf7d25e494f05c9165f5246b46a621cc849341dc01"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:3ee8a80d67a4334482d9712b8e83ca6b1d9bc7e351931252ebef5d8f7335a547"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:5e55da2c8724191e5b557f8e18943b1b4839b8efc3ef60d65985bcf6f587dd38"},
{file = "Brotli-1.1.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:d342778ef319e1026af243ed0a07c97acf3bad33b9f29e7ae6a1f68fd083e90c"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp37-cp37m-win32.whl", hash = "sha256:587ca6d3cef6e4e868102672d3bd9dc9698c309ba56d41c2b9c85bbb903cdb95"},
{file = "Brotli-1.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:2954c1c23f81c2eaf0b0717d9380bd348578a94161a65b3a2afc62c86467dd68"},
{file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:efa8b278894b14d6da122a72fefcebc28445f2d3f880ac59d46c90f4c13be9a3"},
{file = "Brotli-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:03d20af184290887bdea3f0f78c4f737d126c74dc2f3ccadf07e54ceca3bf208"},
{file = "Brotli-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6172447e1b368dcbc458925e5ddaf9113477b0ed542df258d84fa28fc45ceea7"},
{file = "Brotli-1.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a743e5a28af5f70f9c080380a5f908d4d21d40e8f0e0c8901604d15cfa9ba751"},
{file = "Brotli-1.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0541e747cce78e24ea12d69176f6a7ddb690e62c425e01d31cc065e69ce55b48"},
{file = "Brotli-1.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:cdbc1fc1bc0bff1cef838eafe581b55bfbffaed4ed0318b724d0b71d4d377619"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:890b5a14ce214389b2cc36ce82f3093f96f4cc730c1cffdbefff77a7c71f2a97"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ab4fbee0b2d9098c74f3057b2bc055a8bd92ccf02f65944a241b4349229185a"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:141bd4d93984070e097521ed07e2575b46f817d08f9fa42b16b9b5f27b5ac088"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fce1473f3ccc4187f75b4690cfc922628aed4d3dd013d047f95a9b3919a86596"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d2b35ca2c7f81d173d2fadc2f4f31e88cc5f7a39ae5b6db5513cf3383b0e0ec7"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:af6fa6817889314555aede9a919612b23739395ce767fe7fcbea9a80bf140fe5"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:2feb1d960f760a575dbc5ab3b1c00504b24caaf6986e2dc2b01c09c87866a943"},
{file = "Brotli-1.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4410f84b33374409552ac9b6903507cdb31cd30d2501fc5ca13d18f73548444a"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp38-cp38-win32.whl", hash = "sha256:db85ecf4e609a48f4b29055f1e144231b90edc90af7481aa731ba2d059226b1b"},
{file = "Brotli-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3d7954194c36e304e1523f55d7042c59dc53ec20dd4e9ea9d151f1b62b4415c0"},
{file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb2ce4b8045c78ebbc7b8f3c15062e435d47e7393cc57c25115cfd49883747a"},
{file = "Brotli-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7905193081db9bfa73b1219140b3d315831cbff0d8941f22da695832f0dd188f"},
{file = "Brotli-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a77def80806c421b4b0af06f45d65a136e7ac0bdca3c09d9e2ea4e515367c7e9"},
{file = "Brotli-1.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dadd1314583ec0bf2d1379f7008ad627cd6336625d6679cf2f8e67081b83acf"},
{file = "Brotli-1.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:901032ff242d479a0efa956d853d16875d42157f98951c0230f69e69f9c09bac"},
{file = "Brotli-1.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:22fc2a8549ffe699bfba2256ab2ed0421a7b8fadff114a3d201794e45a9ff578"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ae15b066e5ad21366600ebec29a7ccbc86812ed267e4b28e860b8ca16a2bc474"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:949f3b7c29912693cee0afcf09acd6ebc04c57af949d9bf77d6101ebb61e388c"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:89f4988c7203739d48c6f806f1e87a1d96e0806d44f0fba61dba81392c9e474d"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:de6551e370ef19f8de1807d0a9aa2cdfdce2e85ce88b122fe9f6b2b076837e59"},
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0737ddb3068957cf1b054899b0883830bb1fec522ec76b1098f9b6e0f02d9419"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4f3607b129417e111e30637af1b56f24f7a49e64763253bbc275c75fa887d4b2"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:6c6e0c425f22c1c719c42670d561ad682f7bfeeef918edea971a79ac5252437f"},
{file = "Brotli-1.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:494994f807ba0b92092a163a0a283961369a65f6cbe01e8891132b7a320e61eb"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "Brotli-1.1.0-cp39-cp39-win32.whl", hash = "sha256:f0d8a7a6b5983c2496e364b969f0e526647a06b075d034f3297dc66f3b360c64"},
{file = "Brotli-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:cdad5b9014d83ca68c25d2e9444e28e967ef16e80f6b436918c700c117a85467"},
{file = "Brotli-1.1.0.tar.gz", hash = "sha256:81de08ac11bcb85841e440c13611c00b67d3bf82698314928d0b676362546724"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "certifi"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "2023.11.17"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
[[package]]
name = "cffi"
version = "1.17.1"
description = "Foreign Function Interface for Python calling C code."
optional = false
python-versions = ">=3.8"
files = [
{file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
{file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:edae79245293e15384b51f88b00613ba9f7198016a5948b5dddf4917d4d26382"},
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45398b671ac6d70e67da8e4224a065cec6a93541bb7aebe1b198a61b58c7b702"},
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ad9413ccdeda48c5afdae7e4fa2192157e991ff761e7ab8fdd8926f40b160cc3"},
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5da5719280082ac6bd9aa7becb3938dc9f9cbd57fac7d2871717b1feb0902ab6"},
{file = "cffi-1.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bb1a08b8008b281856e5971307cc386a8e9c5b625ac297e853d36da6efe9c17"},
{file = "cffi-1.17.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:045d61c734659cc045141be4bae381a41d89b741f795af1dd018bfb532fd0df8"},
{file = "cffi-1.17.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6883e737d7d9e4899a8a695e00ec36bd4e5e4f18fabe0aca0efe0a4b44cdb13e"},
{file = "cffi-1.17.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6b8b4a92e1c65048ff98cfe1f735ef8f1ceb72e3d5f0c25fdb12087a23da22be"},
{file = "cffi-1.17.1-cp310-cp310-win32.whl", hash = "sha256:c9c3d058ebabb74db66e431095118094d06abf53284d9c81f27300d0e0d8bc7c"},
{file = "cffi-1.17.1-cp310-cp310-win_amd64.whl", hash = "sha256:0f048dcf80db46f0098ccac01132761580d28e28bc0f78ae0d58048063317e15"},
{file = "cffi-1.17.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a45e3c6913c5b87b3ff120dcdc03f6131fa0065027d0ed7ee6190736a74cd401"},
{file = "cffi-1.17.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30c5e0cb5ae493c04c8b42916e52ca38079f1b235c2f8ae5f4527b963c401caf"},
{file = "cffi-1.17.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f75c7ab1f9e4aca5414ed4d8e5c0e303a34f4421f8a0d47a4d019ceff0ab6af4"},
{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a1ed2dd2972641495a3ec98445e09766f077aee98a1c896dcb4ad0d303628e41"},
{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:46bf43160c1a35f7ec506d254e5c890f3c03648a4dbac12d624e4490a7046cd1"},
{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a24ed04c8ffd54b0729c07cee15a81d964e6fee0e3d4d342a27b020d22959dc6"},
{file = "cffi-1.17.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:610faea79c43e44c71e1ec53a554553fa22321b65fae24889706c0a84d4ad86d"},
{file = "cffi-1.17.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:a9b15d491f3ad5d692e11f6b71f7857e7835eb677955c00cc0aefcd0669adaf6"},
{file = "cffi-1.17.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:de2ea4b5833625383e464549fec1bc395c1bdeeb5f25c4a3a82b5a8c756ec22f"},
{file = "cffi-1.17.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fc48c783f9c87e60831201f2cce7f3b2e4846bf4d8728eabe54d60700b318a0b"},
{file = "cffi-1.17.1-cp311-cp311-win32.whl", hash = "sha256:85a950a4ac9c359340d5963966e3e0a94a676bd6245a4b55bc43949eee26a655"},
{file = "cffi-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:caaf0640ef5f5517f49bc275eca1406b0ffa6aa184892812030f04c2abf589a0"},
{file = "cffi-1.17.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:805b4371bf7197c329fcb3ead37e710d1bca9da5d583f5073b799d5c5bd1eee4"},
{file = "cffi-1.17.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:733e99bc2df47476e3848417c5a4540522f234dfd4ef3ab7fafdf555b082ec0c"},
{file = "cffi-1.17.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1257bdabf294dceb59f5e70c64a3e2f462c30c7ad68092d01bbbfb1c16b1ba36"},
{file = "cffi-1.17.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da95af8214998d77a98cc14e3a3bd00aa191526343078b530ceb0bd710fb48a5"},
{file = "cffi-1.17.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d63afe322132c194cf832bfec0dc69a99fb9bb6bbd550f161a49e9e855cc78ff"},
{file = "cffi-1.17.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f79fc4fc25f1c8698ff97788206bb3c2598949bfe0fef03d299eb1b5356ada99"},
{file = "cffi-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b62ce867176a75d03a665bad002af8e6d54644fad99a3c70905c543130e39d93"},
{file = "cffi-1.17.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:386c8bf53c502fff58903061338ce4f4950cbdcb23e2902d86c0f722b786bbe3"},
{file = "cffi-1.17.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4ceb10419a9adf4460ea14cfd6bc43d08701f0835e979bf821052f1805850fe8"},
{file = "cffi-1.17.1-cp312-cp312-win32.whl", hash = "sha256:a08d7e755f8ed21095a310a693525137cfe756ce62d066e53f502a83dc550f65"},
{file = "cffi-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:51392eae71afec0d0c8fb1a53b204dbb3bcabcb3c9b807eedf3e1e6ccf2de903"},
{file = "cffi-1.17.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f3a2b4222ce6b60e2e8b337bb9596923045681d71e5a082783484d845390938e"},
{file = "cffi-1.17.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0984a4925a435b1da406122d4d7968dd861c1385afe3b45ba82b750f229811e2"},
{file = "cffi-1.17.1-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d01b12eeeb4427d3110de311e1774046ad344f5b1a7403101878976ecd7a10f3"},
{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:706510fe141c86a69c8ddc029c7910003a17353970cff3b904ff0686a5927683"},
{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de55b766c7aa2e2a3092c51e0483d700341182f08e67c63630d5b6f200bb28e5"},
{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c59d6e989d07460165cc5ad3c61f9fd8f1b4796eacbd81cee78957842b834af4"},
{file = "cffi-1.17.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd398dbc6773384a17fe0d3e7eeb8d1a21c2200473ee6806bb5e6a8e62bb73dd"},
{file = "cffi-1.17.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:3edc8d958eb099c634dace3c7e16560ae474aa3803a5df240542b305d14e14ed"},
{file = "cffi-1.17.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:72e72408cad3d5419375fc87d289076ee319835bdfa2caad331e377589aebba9"},
{file = "cffi-1.17.1-cp313-cp313-win32.whl", hash = "sha256:e03eab0a8677fa80d646b5ddece1cbeaf556c313dcfac435ba11f107ba117b5d"},
{file = "cffi-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:f6a16c31041f09ead72d69f583767292f750d24913dadacf5756b966aacb3f1a"},
{file = "cffi-1.17.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:636062ea65bd0195bc012fea9321aca499c0504409f413dc88af450b57ffd03b"},
{file = "cffi-1.17.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c7eac2ef9b63c79431bc4b25f1cd649d7f061a28808cbc6c47b534bd789ef964"},
{file = "cffi-1.17.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e221cf152cff04059d011ee126477f0d9588303eb57e88923578ace7baad17f9"},
{file = "cffi-1.17.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:31000ec67d4221a71bd3f67df918b1f88f676f1c3b535a7eb473255fdc0b83fc"},
{file = "cffi-1.17.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f17be4345073b0a7b8ea599688f692ac3ef23ce28e5df79c04de519dbc4912c"},
{file = "cffi-1.17.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e2b1fac190ae3ebfe37b979cc1ce69c81f4e4fe5746bb401dca63a9062cdaf1"},
{file = "cffi-1.17.1-cp38-cp38-win32.whl", hash = "sha256:7596d6620d3fa590f677e9ee430df2958d2d6d6de2feeae5b20e82c00b76fbf8"},
{file = "cffi-1.17.1-cp38-cp38-win_amd64.whl", hash = "sha256:78122be759c3f8a014ce010908ae03364d00a1f81ab5c7f4a7a5120607ea56e1"},
{file = "cffi-1.17.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b2ab587605f4ba0bf81dc0cb08a41bd1c0a5906bd59243d56bad7668a6fc6c16"},
{file = "cffi-1.17.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:28b16024becceed8c6dfbc75629e27788d8a3f9030691a1dbf9821a128b22c36"},
{file = "cffi-1.17.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1d599671f396c4723d016dbddb72fe8e0397082b0a77a4fab8028923bec050e8"},
{file = "cffi-1.17.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca74b8dbe6e8e8263c0ffd60277de77dcee6c837a3d0881d8c1ead7268c9e576"},
{file = "cffi-1.17.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7f5baafcc48261359e14bcd6d9bff6d4b28d9103847c9e136694cb0501aef87"},
{file = "cffi-1.17.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:98e3969bcff97cae1b2def8ba499ea3d6f31ddfdb7635374834cf89a1a08ecf0"},
{file = "cffi-1.17.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdf5ce3acdfd1661132f2a9c19cac174758dc2352bfe37d98aa7512c6b7178b3"},
{file = "cffi-1.17.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9755e4345d1ec879e3849e62222a18c7174d65a6a92d5b346b1863912168b595"},
{file = "cffi-1.17.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f1e22e8c4419538cb197e4dd60acc919d7696e5ef98ee4da4e01d3f8cfa4cc5a"},
{file = "cffi-1.17.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c03e868a0b3bc35839ba98e74211ed2b05d2119be4e8a0f224fba9384f1fe02e"},
{file = "cffi-1.17.1-cp39-cp39-win32.whl", hash = "sha256:e31ae45bc2e29f6b2abd0de1cc3b9d5205aa847cafaecb8af1476a609a2f6eb7"},
{file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
{file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
]
[package.dependencies]
pycparser = "*"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "charset-normalizer"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "3.3.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
{file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
{file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
{file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
{file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
{file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
{file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"},
{file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"},
{file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"},
{file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"},
{file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"},
{file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "click"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
version = "8.1.7"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Composable command line interface toolkit"
optional = false
python-versions = ">=3.7"
files = [
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
{file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
{file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "coloredlogs"
version = "15.0.1"
description = "Colored terminal output for Python's logging module"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
files = [
{file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
{file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
]
[package.dependencies]
humanfriendly = ">=9.1"
[package.extras]
cron = ["capturer (>=2.4)"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "configargparse"
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
version = "1.7"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables."
optional = false
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
python-versions = ">=3.5"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
{file = "ConfigArgParse-1.7-py3-none-any.whl", hash = "sha256:d249da6591465c6c26df64a9f73d2536e743be2f244eb3ebe61114af2f94f86b"},
{file = "ConfigArgParse-1.7.tar.gz", hash = "sha256:e7067471884de5478c58a511e529f0f9bd1c66bfef1dea90935438d6c23306d1"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.extras]
test = ["PyYAML", "mock", "pytest"]
yaml = ["PyYAML"]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
[[package]]
name = "contourpy"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "1.2.0"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
description = "Python library for calculating contours of 2D quadrilateral grids"
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.9"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "contourpy-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0274c1cb63625972c0c007ab14dd9ba9e199c36ae1a231ce45d725cbcbfd10a8"},
{file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
{file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fdd887f17c2f4572ce548461e4f96396681212d858cae7bd52ba3310bc6f00f"},
{file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d16edfc3fc09968e09ddffada434b3bf989bf4911535e04eada58469873e28e"},
{file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c203f617abc0dde5792beb586f827021069fb6d403d7f4d5c2b543d87edceb9"},
{file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b69303ceb2e4d4f146bf82fda78891ef7bcd80c41bf16bfca3d0d7eb545448aa"},
{file = "contourpy-1.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:884c3f9d42d7218304bc74a8a7693d172685c84bd7ab2bab1ee567b769696df9"},
{file = "contourpy-1.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4a1b1208102be6e851f20066bf0e7a96b7d48a07c9b0cfe6d0d4545c2f6cadab"},
{file = "contourpy-1.2.0-cp310-cp310-win32.whl", hash = "sha256:34b9071c040d6fe45d9826cbbe3727d20d83f1b6110d219b83eb0e2a01d79488"},
{file = "contourpy-1.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:bd2f1ae63998da104f16a8b788f685e55d65760cd1929518fd94cd682bf03e41"},
{file = "contourpy-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:dd10c26b4eadae44783c45ad6655220426f971c61d9b239e6f7b16d5cdaaa727"},
{file = "contourpy-1.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5c6b28956b7b232ae801406e529ad7b350d3f09a4fde958dfdf3c0520cdde0dd"},
{file = "contourpy-1.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ebeac59e9e1eb4b84940d076d9f9a6cec0064e241818bcb6e32124cc5c3e377a"},
{file = "contourpy-1.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:139d8d2e1c1dd52d78682f505e980f592ba53c9f73bd6be102233e358b401063"},
{file = "contourpy-1.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1e9dc350fb4c58adc64df3e0703ab076f60aac06e67d48b3848c23647ae4310e"},
{file = "contourpy-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18fc2b4ed8e4a8fe849d18dce4bd3c7ea637758c6343a1f2bae1e9bd4c9f4686"},
{file = "contourpy-1.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:16a7380e943a6d52472096cb7ad5264ecee36ed60888e2a3d3814991a0107286"},
{file = "contourpy-1.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8d8faf05be5ec8e02a4d86f616fc2a0322ff4a4ce26c0f09d9f7fb5330a35c95"},
{file = "contourpy-1.2.0-cp311-cp311-win32.whl", hash = "sha256:67b7f17679fa62ec82b7e3e611c43a016b887bd64fb933b3ae8638583006c6d6"},
{file = "contourpy-1.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:99ad97258985328b4f207a5e777c1b44a83bfe7cf1f87b99f9c11d4ee477c4de"},
{file = "contourpy-1.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:575bcaf957a25d1194903a10bc9f316c136c19f24e0985a2b9b5608bdf5dbfe0"},
{file = "contourpy-1.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9e6c93b5b2dbcedad20a2f18ec22cae47da0d705d454308063421a3b290d9ea4"},
{file = "contourpy-1.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:464b423bc2a009088f19bdf1f232299e8b6917963e2b7e1d277da5041f33a779"},
{file = "contourpy-1.2.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:68ce4788b7d93e47f84edd3f1f95acdcd142ae60bc0e5493bfd120683d2d4316"},
{file = "contourpy-1.2.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d7d1f8871998cdff5d2ff6a087e5e1780139abe2838e85b0b46b7ae6cc25399"},
{file = "contourpy-1.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e739530c662a8d6d42c37c2ed52a6f0932c2d4a3e8c1f90692ad0ce1274abe0"},
{file = "contourpy-1.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:247b9d16535acaa766d03037d8e8fb20866d054d3c7fbf6fd1f993f11fc60ca0"},
{file = "contourpy-1.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:461e3ae84cd90b30f8d533f07d87c00379644205b1d33a5ea03381edc4b69431"},
{file = "contourpy-1.2.0-cp312-cp312-win32.whl", hash = "sha256:1c2559d6cffc94890b0529ea7eeecc20d6fadc1539273aa27faf503eb4656d8f"},
{file = "contourpy-1.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:491b1917afdd8638a05b611a56d46587d5a632cabead889a5440f7c638bc6ed9"},
{file = "contourpy-1.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5fd1810973a375ca0e097dee059c407913ba35723b111df75671a1976efa04bc"},
{file = "contourpy-1.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:999c71939aad2780f003979b25ac5b8f2df651dac7b38fb8ce6c46ba5abe6ae9"},
{file = "contourpy-1.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7caf9b241464c404613512d5594a6e2ff0cc9cb5615c9475cc1d9b514218ae8"},
{file = "contourpy-1.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:266270c6f6608340f6c9836a0fb9b367be61dde0c9a9a18d5ece97774105ff3e"},
{file = "contourpy-1.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dbd50d0a0539ae2e96e537553aff6d02c10ed165ef40c65b0e27e744a0f10af8"},
{file = "contourpy-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11f8d2554e52f459918f7b8e6aa20ec2a3bce35ce95c1f0ef4ba36fbda306df5"},
{file = "contourpy-1.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ce96dd400486e80ac7d195b2d800b03e3e6a787e2a522bfb83755938465a819e"},
{file = "contourpy-1.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6d3364b999c62f539cd403f8123ae426da946e142312a514162adb2addd8d808"},
{file = "contourpy-1.2.0-cp39-cp39-win32.whl", hash = "sha256:1c88dfb9e0c77612febebb6ac69d44a8d81e3dc60f993215425b62c1161353f4"},
{file = "contourpy-1.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:78e6ad33cf2e2e80c5dfaaa0beec3d61face0fb650557100ee36db808bfa6843"},
{file = "contourpy-1.2.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:be16975d94c320432657ad2402f6760990cb640c161ae6da1363051805fa8108"},
{file = "contourpy-1.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b95a225d4948b26a28c08307a60ac00fb8671b14f2047fc5476613252a129776"},
{file = "contourpy-1.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0d7e03c0f9a4f90dc18d4e77e9ef4ec7b7bbb437f7f675be8e530d65ae6ef956"},
{file = "contourpy-1.2.0.tar.gz", hash = "sha256:171f311cb758de7da13fc53af221ae47a5877be5a0843a9fe150818c51ed276a"},
]
[package.dependencies]
numpy = ">=1.20,<2.0"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
[package.extras]
bokeh = ["bokeh", "selenium"]
docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[[package]]
name = "coverage"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
version = "7.4.0"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
description = "Code coverage measurement for Python"
optional = false
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
python-versions = ">=3.8"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
files = [
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
{file = "coverage-7.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:36b0ea8ab20d6a7564e89cb6135920bc9188fb5f1f7152e94e8300b7b189441a"},
{file = "coverage-7.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0676cd0ba581e514b7f726495ea75aba3eb20899d824636c6f59b0ed2f88c471"},
{file = "coverage-7.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0ca5c71a5a1765a0f8f88022c52b6b8be740e512980362f7fdbb03725a0d6b9"},
{file = "coverage-7.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7c97726520f784239f6c62506bc70e48d01ae71e9da128259d61ca5e9788516"},
{file = "coverage-7.4.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:815ac2d0f3398a14286dc2cea223a6f338109f9ecf39a71160cd1628786bc6f5"},
{file = "coverage-7.4.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:80b5ee39b7f0131ebec7968baa9b2309eddb35b8403d1869e08f024efd883566"},
{file = "coverage-7.4.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5b2ccb7548a0b65974860a78c9ffe1173cfb5877460e5a229238d985565574ae"},
{file = "coverage-7.4.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:995ea5c48c4ebfd898eacb098164b3cc826ba273b3049e4a889658548e321b43"},
{file = "coverage-7.4.0-cp310-cp310-win32.whl", hash = "sha256:79287fd95585ed36e83182794a57a46aeae0b64ca53929d1176db56aacc83451"},
{file = "coverage-7.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:5b14b4f8760006bfdb6e08667af7bc2d8d9bfdb648351915315ea17645347137"},
{file = "coverage-7.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:04387a4a6ecb330c1878907ce0dc04078ea72a869263e53c72a1ba5bbdf380ca"},
{file = "coverage-7.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ea81d8f9691bb53f4fb4db603203029643caffc82bf998ab5b59ca05560f4c06"},
{file = "coverage-7.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74775198b702868ec2d058cb92720a3c5a9177296f75bd97317c787daf711505"},
{file = "coverage-7.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:76f03940f9973bfaee8cfba70ac991825611b9aac047e5c80d499a44079ec0bc"},
{file = "coverage-7.4.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:485e9f897cf4856a65a57c7f6ea3dc0d4e6c076c87311d4bc003f82cfe199d25"},
{file = "coverage-7.4.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:6ae8c9d301207e6856865867d762a4b6fd379c714fcc0607a84b92ee63feff70"},
{file = "coverage-7.4.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:bf477c355274a72435ceb140dc42de0dc1e1e0bf6e97195be30487d8eaaf1a09"},
{file = "coverage-7.4.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:83c2dda2666fe32332f8e87481eed056c8b4d163fe18ecc690b02802d36a4d26"},
{file = "coverage-7.4.0-cp311-cp311-win32.whl", hash = "sha256:697d1317e5290a313ef0d369650cfee1a114abb6021fa239ca12b4849ebbd614"},
{file = "coverage-7.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:26776ff6c711d9d835557ee453082025d871e30b3fd6c27fcef14733f67f0590"},
{file = "coverage-7.4.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:13eaf476ec3e883fe3e5fe3707caeb88268a06284484a3daf8250259ef1ba143"},
{file = "coverage-7.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:846f52f46e212affb5bcf131c952fb4075b55aae6b61adc9856222df89cbe3e2"},
{file = "coverage-7.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26f66da8695719ccf90e794ed567a1549bb2644a706b41e9f6eae6816b398c4a"},
{file = "coverage-7.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:164fdcc3246c69a6526a59b744b62e303039a81e42cfbbdc171c91a8cc2f9446"},
{file = "coverage-7.4.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:316543f71025a6565677d84bc4df2114e9b6a615aa39fb165d697dba06a54af9"},
{file = "coverage-7.4.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:bb1de682da0b824411e00a0d4da5a784ec6496b6850fdf8c865c1d68c0e318dd"},
{file = "coverage-7.4.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:0e8d06778e8fbffccfe96331a3946237f87b1e1d359d7fbe8b06b96c95a5407a"},
{file = "coverage-7.4.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a56de34db7b7ff77056a37aedded01b2b98b508227d2d0979d373a9b5d353daa"},
{file = "coverage-7.4.0-cp312-cp312-win32.whl", hash = "sha256:51456e6fa099a8d9d91497202d9563a320513fcf59f33991b0661a4a6f2ad450"},
{file = "coverage-7.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:cd3c1e4cb2ff0083758f09be0f77402e1bdf704adb7f89108007300a6da587d0"},
{file = "coverage-7.4.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e9d1bf53c4c8de58d22e0e956a79a5b37f754ed1ffdbf1a260d9dcfa2d8a325e"},
{file = "coverage-7.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:109f5985182b6b81fe33323ab4707011875198c41964f014579cf82cebf2bb85"},
{file = "coverage-7.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cc9d4bc55de8003663ec94c2f215d12d42ceea128da8f0f4036235a119c88ac"},
{file = "coverage-7.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cc6d65b21c219ec2072c1293c505cf36e4e913a3f936d80028993dd73c7906b1"},
{file = "coverage-7.4.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a10a4920def78bbfff4eff8a05c51be03e42f1c3735be42d851f199144897ba"},
{file = "coverage-7.4.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b8e99f06160602bc64da35158bb76c73522a4010f0649be44a4e167ff8555952"},
{file = "coverage-7.4.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:7d360587e64d006402b7116623cebf9d48893329ef035278969fa3bbf75b697e"},
{file = "coverage-7.4.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:29f3abe810930311c0b5d1a7140f6395369c3db1be68345638c33eec07535105"},
{file = "coverage-7.4.0-cp38-cp38-win32.whl", hash = "sha256:5040148f4ec43644702e7b16ca864c5314ccb8ee0751ef617d49aa0e2d6bf4f2"},
{file = "coverage-7.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:9864463c1c2f9cb3b5db2cf1ff475eed2f0b4285c2aaf4d357b69959941aa555"},
{file = "coverage-7.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:936d38794044b26c99d3dd004d8af0035ac535b92090f7f2bb5aa9c8e2f5cd42"},
{file = "coverage-7.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:799c8f873794a08cdf216aa5d0531c6a3747793b70c53f70e98259720a6fe2d7"},
{file = "coverage-7.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e7defbb9737274023e2d7af02cac77043c86ce88a907c58f42b580a97d5bcca9"},
{file = "coverage-7.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a1526d265743fb49363974b7aa8d5899ff64ee07df47dd8d3e37dcc0818f09ed"},
{file = "coverage-7.4.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf635a52fc1ea401baf88843ae8708591aa4adff875e5c23220de43b1ccf575c"},
{file = "coverage-7.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:756ded44f47f330666843b5781be126ab57bb57c22adbb07d83f6b519783b870"},
{file = "coverage-7.4.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:0eb3c2f32dabe3a4aaf6441dde94f35687224dfd7eb2a7f47f3fd9428e421058"},
{file = "coverage-7.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bfd5db349d15c08311702611f3dccbef4b4e2ec148fcc636cf8739519b4a5c0f"},
{file = "coverage-7.4.0-cp39-cp39-win32.whl", hash = "sha256:53d7d9158ee03956e0eadac38dfa1ec8068431ef8058fe6447043db1fb40d932"},
{file = "coverage-7.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:cfd2a8b6b0d8e66e944d47cdec2f47c48fef2ba2f2dff5a9a75757f64172857e"},
{file = "coverage-7.4.0-pp38.pp39.pp310-none-any.whl", hash = "sha256:c530833afc4707fe48524a44844493f36d8727f04dcce91fb978c414a8556cc6"},
{file = "coverage-7.4.0.tar.gz", hash = "sha256:707c0f58cb1712b8809ece32b68996ee1e609f71bd14615bd8f87a1293cb610e"},
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
]
[package.dependencies]
tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[package.extras]
toml = ["tomli"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "cycler"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "0.12.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Composable style cycles"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
{file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
[package.extras]
docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
tests = ["pytest", "pytest-cov", "pytest-xdist"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "cython"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
version = "3.0.8"
description = "The Cython compiler for writing C extensions in the Python language."
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "Cython-3.0.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a846e0a38e2b24e9a5c5dc74b0e54c6e29420d88d1dafabc99e0fc0f3e338636"},
{file = "Cython-3.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45523fdc2b78d79b32834cc1cc12dc2ca8967af87e22a3ee1bff20e77c7f5520"},
{file = "Cython-3.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa0b7f3f841fe087410cab66778e2d3fb20ae2d2078a2be3dffe66c6574be39"},
{file = "Cython-3.0.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e87294e33e40c289c77a135f491cd721bd089f193f956f7b8ed5aa2d0b8c558f"},
{file = "Cython-3.0.8-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:a1df7a129344b1215c20096d33c00193437df1a8fcca25b71f17c23b1a44f782"},
{file = "Cython-3.0.8-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:13c2a5e57a0358da467d97667297bf820b62a1a87ae47c5f87938b9bb593acbd"},
{file = "Cython-3.0.8-cp310-cp310-win32.whl", hash = "sha256:96b028f044f5880e3cb18ecdcfc6c8d3ce9d0af28418d5ab464509f26d8adf12"},
{file = "Cython-3.0.8-cp310-cp310-win_amd64.whl", hash = "sha256:8140597a8b5cc4f119a1190f5a2228a84f5ca6d8d9ec386cfce24663f48b2539"},
{file = "Cython-3.0.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:aae26f9663e50caf9657148403d9874eea41770ecdd6caf381d177c2b1bb82ba"},
{file = "Cython-3.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:547eb3cdb2f8c6f48e6865d5a741d9dd051c25b3ce076fbca571727977b28ac3"},
{file = "Cython-3.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a567d4b9ba70b26db89d75b243529de9e649a2f56384287533cf91512705bee"},
{file = "Cython-3.0.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:51d1426263b0e82fb22bda8ea60dc77a428581cc19e97741011b938445d383f1"},
{file = "Cython-3.0.8-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c26daaeccda072459b48d211415fd1e5507c06bcd976fa0d5b8b9f1063467d7b"},
{file = "Cython-3.0.8-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:289ce7838208211cd166e975865fd73b0649bf118170b6cebaedfbdaf4a37795"},
{file = "Cython-3.0.8-cp311-cp311-win32.whl", hash = "sha256:c8aa05f5e17f8042a3be052c24f2edc013fb8af874b0bf76907d16c51b4e7871"},
{file = "Cython-3.0.8-cp311-cp311-win_amd64.whl", hash = "sha256:000dc9e135d0eec6ecb2b40a5b02d0868a2f8d2e027a41b0fe16a908a9e6de02"},
{file = "Cython-3.0.8-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:90d3fe31db55685d8cb97d43b0ec39ef614fcf660f83c77ed06aa670cb0e164f"},
{file = "Cython-3.0.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e24791ddae2324e88e3c902a765595c738f19ae34ee66bfb1a6dac54b1833419"},
{file = "Cython-3.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f020fa1c0552052e0660790b8153b79e3fc9a15dbd8f1d0b841fe5d204a6ae6"},
{file = "Cython-3.0.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18bfa387d7a7f77d7b2526af69a65dbd0b731b8d941aaff5becff8e21f6d7717"},
{file = "Cython-3.0.8-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fe81b339cffd87c0069c6049b4d33e28bdd1874625ee515785bf42c9fdff3658"},
{file = "Cython-3.0.8-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:80fd94c076e1e1b1ee40a309be03080b75f413e8997cddcf401a118879863388"},
{file = "Cython-3.0.8-cp312-cp312-win32.whl", hash = "sha256:85077915a93e359a9b920280d214dc0cf8a62773e1f3d7d30fab8ea4daed670c"},
{file = "Cython-3.0.8-cp312-cp312-win_amd64.whl", hash = "sha256:0cb2dcc565c7851f75d496f724a384a790fab12d1b82461b663e66605bec429a"},
{file = "Cython-3.0.8-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:870d2a0a7e3cbd5efa65aecdb38d715ea337a904ea7bb22324036e78fb7068e7"},
{file = "Cython-3.0.8-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7e8f2454128974905258d86534f4fd4f91d2f1343605657ecab779d80c9d6d5e"},
{file = "Cython-3.0.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1949d6aa7bc792554bee2b67a9fe41008acbfe22f4f8df7b6ec7b799613a4b3"},
{file = "Cython-3.0.8-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9f2c6e1b8f3bcd6cb230bac1843f85114780bb8be8614855b1628b36bb510e0"},
{file = "Cython-3.0.8-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:05d7eddc668ae7993643f32c7661f25544e791edb745758672ea5b1a82ecffa6"},
{file = "Cython-3.0.8-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:bfabe115deef4ada5d23c87bddb11289123336dcc14347011832c07db616dd93"},
{file = "Cython-3.0.8-cp36-cp36m-win32.whl", hash = "sha256:0c38c9f0bcce2df0c3347285863621be904ac6b64c5792d871130569d893efd7"},
{file = "Cython-3.0.8-cp36-cp36m-win_amd64.whl", hash = "sha256:6c46939c3983217d140999de7c238c3141f56b1ea349e47ca49cae899969aa2c"},
{file = "Cython-3.0.8-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:115f0a50f752da6c99941b103b5cb090da63eb206abbc7c2ad33856ffc73f064"},
{file = "Cython-3.0.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9c0f29246734561c90f36e70ed0506b61aa3d044e4cc4cba559065a2a741fae"},
{file = "Cython-3.0.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ab75242869ff71e5665fe5c96f3378e79e792fa3c11762641b6c5afbbbbe026"},
{file = "Cython-3.0.8-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6717c06e9cfc6c1df18543cd31a21f5d8e378a40f70c851fa2d34f0597037abc"},
{file = "Cython-3.0.8-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:9d3f74388db378a3c6fd06e79a809ed98df3f56484d317b81ee762dbf3c263e0"},
{file = "Cython-3.0.8-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ae7ac561fd8253a9ae96311e91d12af5f701383564edc11d6338a7b60b285a6f"},
{file = "Cython-3.0.8-cp37-cp37m-win32.whl", hash = "sha256:97b2a45845b993304f1799664fa88da676ee19442b15fdcaa31f9da7e1acc434"},
{file = "Cython-3.0.8-cp37-cp37m-win_amd64.whl", hash = "sha256:9e2be2b340fea46fb849d378f9b80d3c08ff2e81e2bfbcdb656e2e3cd8c6b2dc"},
{file = "Cython-3.0.8-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2cde23c555470db3f149ede78b518e8274853745289c956a0e06ad8d982e4db9"},
{file = "Cython-3.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7990ca127e1f1beedaf8fc8bf66541d066ef4723ad7d8d47a7cbf842e0f47580"},
{file = "Cython-3.0.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b983c8e6803f016146c26854d9150ddad5662960c804ea7f0c752c9266752f0"},
{file = "Cython-3.0.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a973268d7ca1a2bdf78575e459a94a78e1a0a9bb62a7db0c50041949a73b02ff"},
{file = "Cython-3.0.8-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:61a237bc9dd23c7faef0fcfce88c11c65d0c9bb73c74ccfa408b3a012073c20e"},
{file = "Cython-3.0.8-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3a3d67f079598af49e90ff9655bf85bd358f093d727eb21ca2708f467c489cae"},
{file = "Cython-3.0.8-cp38-cp38-win32.whl", hash = "sha256:17a642bb01a693e34c914106566f59844b4461665066613913463a719e0dd15d"},
{file = "Cython-3.0.8-cp38-cp38-win_amd64.whl", hash = "sha256:2cdfc32252f3b6dc7c94032ab744dcedb45286733443c294d8f909a4854e7f83"},
{file = "Cython-3.0.8-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fa97893d99385386925d00074654aeae3a98867f298d1e12ceaf38a9054a9bae"},
{file = "Cython-3.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f05c0bf9d085c031df8f583f0d506aa3be1692023de18c45d0aaf78685bbb944"},
{file = "Cython-3.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de892422582f5758bd8de187e98ac829330ec1007bc42c661f687792999988a7"},
{file = "Cython-3.0.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:314f2355a1f1d06e3c431eaad4708cf10037b5e91e4b231d89c913989d0bdafd"},
{file = "Cython-3.0.8-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:78825a3774211e7d5089730f00cdf7f473042acc9ceb8b9eeebe13ed3a5541de"},
{file = "Cython-3.0.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:df8093deabc55f37028190cf5e575c26aad23fc673f34b85d5f45076bc37ce39"},
{file = "Cython-3.0.8-cp39-cp39-win32.whl", hash = "sha256:1aca1b97e0095b3a9a6c33eada3f661a4ed0d499067d121239b193e5ba3bb4f0"},
{file = "Cython-3.0.8-cp39-cp39-win_amd64.whl", hash = "sha256:16873d78be63bd38ffb759da7ab82814b36f56c769ee02b1d5859560e4c3ac3c"},
{file = "Cython-3.0.8-py2.py3-none-any.whl", hash = "sha256:171b27051253d3f9108e9759e504ba59ff06e7f7ba944457f94deaf9c21bf0b6"},
{file = "Cython-3.0.8.tar.gz", hash = "sha256:8333423d8fd5765e7cceea3a9985dd1e0a5dfeb2734629e1a2ed2d6233d39de6"},
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "easydict"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "1.11"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Access dict values as attributes (works recursively)."
optional = false
python-versions = "*"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "easydict-1.11.tar.gz", hash = "sha256:dcb1d2ed28eb300c8e46cd371340373abc62f7c14d6dea74fdfc6f1069061c78"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
[[package]]
name = "exceptiongroup"
version = "1.2.0"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
{file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
]
[package.extras]
test = ["pytest (>=6)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
fix(deps): update machine-learning (#9304) * fix(deps): update machine-learning * use fastapi-slim * fix lock --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-05-14 07:46:20 -07:00
name = "fastapi-slim"
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
version = "0.115.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "fastapi_slim-0.115.2-py3-none-any.whl", hash = "sha256:7dd65a58e9b2a1558ebd479d35e621417d4572188d902a3e5564739914ddc81d"},
{file = "fastapi_slim-0.115.2.tar.gz", hash = "sha256:83a1ce1e385029cad305b49dcc03622d2be6a905b2ab65d2e7096285605cca8d"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
starlette = ">=0.37.2,<0.41.0"
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
typing-extensions = ">=4.8.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
fix(deps): update machine-learning (#12257)
2024-09-04 11:36:12 -07:00
all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "filelock"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "3.13.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A platform independent file lock."
optional = false
chore(ml): memory optimisations (#3934)
2023-08-31 16:30:53 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
{file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
typing = ["typing-extensions (>=4.8)"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "flask"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "3.0.0"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "A simple framework for building complex web applications."
optional = false
python-versions = ">=3.8"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "flask-3.0.0-py3-none-any.whl", hash = "sha256:21128f47e4e3b9d597a3e8521a329bf56909b690fcc3fa3e477725aa81367638"},
{file = "flask-3.0.0.tar.gz", hash = "sha256:cfadcdb638b609361d29ec22360d6070a77d7463dcb3ab08d2c2f2f168845f58"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
blinker = ">=1.6.2"
click = ">=8.1.3"
itsdangerous = ">=2.1.2"
Jinja2 = ">=3.1.2"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
Werkzeug = ">=3.0.0"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[package.extras]
async = ["asgiref (>=3.2)"]
dotenv = ["python-dotenv"]
[[package]]
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
name = "flask-cors"
chore(deps-dev): bump flask-cors from 4.0.0 to 4.0.1 in /machine-learning (#9485)
2024-05-14 11:06:40 -07:00
version = "4.0.1"
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
description = "A Flask extension adding a decorator for CORS support"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
optional = false
python-versions = "*"
files = [
chore(deps-dev): bump flask-cors from 4.0.0 to 4.0.1 in /machine-learning (#9485)
2024-05-14 11:06:40 -07:00
{file = "Flask_Cors-4.0.1-py2.py3-none-any.whl", hash = "sha256:f2a704e4458665580c074b714c4627dd5a306b333deb9074d0b1794dfa2fb677"},
{file = "flask_cors-4.0.1.tar.gz", hash = "sha256:eeb69b342142fdbf4766ad99357a7f3876a2ceb77689dc10ff912aac06c389e4"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
Flask = ">=0.9"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
name = "flask-login"
version = "0.6.3"
description = "User authentication and session management for Flask."
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
optional = false
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
python-versions = ">=3.7"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
{file = "Flask-Login-0.6.3.tar.gz", hash = "sha256:5e23d14a607ef12806c699590b89d0f0e0d67baeec599d75947bf9c147330333"},
{file = "Flask_Login-0.6.3-py3-none-any.whl", hash = "sha256:849b25b82a436bf830a054e74214074af59097171562ab10bfa999e6b78aae5d"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
Flask = ">=1.0.4"
Werkzeug = ">=1.0.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "flatbuffers"
version = "23.5.26"
description = "The FlatBuffers serialization format for Python"
optional = false
python-versions = "*"
files = [
{file = "flatbuffers-23.5.26-py2.py3-none-any.whl", hash = "sha256:c0ff356da363087b915fde4b8b45bdda73432fc17cddb3c8157472eab1422ad1"},
{file = "flatbuffers-23.5.26.tar.gz", hash = "sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89"},
]
[[package]]
name = "fonttools"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
version = "4.47.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Tools to manipulate font files"
optional = false
python-versions = ">=3.8"
files = [
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
{file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3b629108351d25512d4ea1a8393a2dba325b7b7d7308116b605ea3f8e1be88df"},
{file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c19044256c44fe299d9a73456aabee4b4d06c6b930287be93b533b4737d70aa1"},
{file = "fonttools-4.47.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8be28c036b9f186e8c7eaf8a11b42373e7e4949f9e9f370202b9da4c4c3f56c"},
{file = "fonttools-4.47.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f83a4daef6d2a202acb9bf572958f91cfde5b10c8ee7fb1d09a4c81e5d851fd8"},
{file = "fonttools-4.47.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4a5a5318ba5365d992666ac4fe35365f93004109d18858a3e18ae46f67907670"},
{file = "fonttools-4.47.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8f57ecd742545362a0f7186774b2d1c53423ed9ece67689c93a1055b236f638c"},
{file = "fonttools-4.47.2-cp310-cp310-win32.whl", hash = "sha256:a1c154bb85dc9a4cf145250c88d112d88eb414bad81d4cb524d06258dea1bdc0"},
{file = "fonttools-4.47.2-cp310-cp310-win_amd64.whl", hash = "sha256:3e2b95dce2ead58fb12524d0ca7d63a63459dd489e7e5838c3cd53557f8933e1"},
{file = "fonttools-4.47.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:29495d6d109cdbabe73cfb6f419ce67080c3ef9ea1e08d5750240fd4b0c4763b"},
{file = "fonttools-4.47.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0a1d313a415eaaba2b35d6cd33536560deeebd2ed758b9bfb89ab5d97dc5deac"},
{file = "fonttools-4.47.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:90f898cdd67f52f18049250a6474185ef6544c91f27a7bee70d87d77a8daf89c"},
{file = "fonttools-4.47.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3480eeb52770ff75140fe7d9a2ec33fb67b07efea0ab5129c7e0c6a639c40c70"},
{file = "fonttools-4.47.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0255dbc128fee75fb9be364806b940ed450dd6838672a150d501ee86523ac61e"},
{file = "fonttools-4.47.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f791446ff297fd5f1e2247c188de53c1bfb9dd7f0549eba55b73a3c2087a2703"},
{file = "fonttools-4.47.2-cp311-cp311-win32.whl", hash = "sha256:740947906590a878a4bde7dd748e85fefa4d470a268b964748403b3ab2aeed6c"},
{file = "fonttools-4.47.2-cp311-cp311-win_amd64.whl", hash = "sha256:63fbed184979f09a65aa9c88b395ca539c94287ba3a364517698462e13e457c9"},
{file = "fonttools-4.47.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:4ec558c543609e71b2275c4894e93493f65d2f41c15fe1d089080c1d0bb4d635"},
{file = "fonttools-4.47.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e040f905d542362e07e72e03612a6270c33d38281fd573160e1003e43718d68d"},
{file = "fonttools-4.47.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6dd58cc03016b281bd2c74c84cdaa6bd3ce54c5a7f47478b7657b930ac3ed8eb"},
{file = "fonttools-4.47.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:32ab2e9702dff0dd4510c7bb958f265a8d3dd5c0e2547e7b5f7a3df4979abb07"},
{file = "fonttools-4.47.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3a808f3c1d1df1f5bf39be869b6e0c263570cdafb5bdb2df66087733f566ea71"},
{file = "fonttools-4.47.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ac71e2e201df041a2891067dc36256755b1229ae167edbdc419b16da78732c2f"},
{file = "fonttools-4.47.2-cp312-cp312-win32.whl", hash = "sha256:69731e8bea0578b3c28fdb43dbf95b9386e2d49a399e9a4ad736b8e479b08085"},
{file = "fonttools-4.47.2-cp312-cp312-win_amd64.whl", hash = "sha256:b3e1304e5f19ca861d86a72218ecce68f391646d85c851742d265787f55457a4"},
{file = "fonttools-4.47.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:254d9a6f7be00212bf0c3159e0a420eb19c63793b2c05e049eb337f3023c5ecc"},
{file = "fonttools-4.47.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:eabae77a07c41ae0b35184894202305c3ad211a93b2eb53837c2a1143c8bc952"},
{file = "fonttools-4.47.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a86a5ab2873ed2575d0fcdf1828143cfc6b977ac448e3dc616bb1e3d20efbafa"},
{file = "fonttools-4.47.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13819db8445a0cec8c3ff5f243af6418ab19175072a9a92f6cc8ca7d1452754b"},
{file = "fonttools-4.47.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4e743935139aa485fe3253fc33fe467eab6ea42583fa681223ea3f1a93dd01e6"},
{file = "fonttools-4.47.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d49ce3ea7b7173faebc5664872243b40cf88814ca3eb135c4a3cdff66af71946"},
{file = "fonttools-4.47.2-cp38-cp38-win32.whl", hash = "sha256:94208ea750e3f96e267f394d5588579bb64cc628e321dbb1d4243ffbc291b18b"},
{file = "fonttools-4.47.2-cp38-cp38-win_amd64.whl", hash = "sha256:0f750037e02beb8b3569fbff701a572e62a685d2a0e840d75816592280e5feae"},
{file = "fonttools-4.47.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3d71606c9321f6701642bd4746f99b6089e53d7e9817fc6b964e90d9c5f0ecc6"},
{file = "fonttools-4.47.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:86e0427864c6c91cf77f16d1fb9bf1bbf7453e824589e8fb8461b6ee1144f506"},
{file = "fonttools-4.47.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a00bd0e68e88987dcc047ea31c26d40a3c61185153b03457956a87e39d43c37"},
{file = "fonttools-4.47.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5d77479fb885ef38a16a253a2f4096bc3d14e63a56d6246bfdb56365a12b20c"},
{file = "fonttools-4.47.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5465df494f20a7d01712b072ae3ee9ad2887004701b95cb2cc6dcb9c2c97a899"},
{file = "fonttools-4.47.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4c811d3c73b6abac275babb8aa439206288f56fdb2c6f8835e3d7b70de8937a7"},
{file = "fonttools-4.47.2-cp39-cp39-win32.whl", hash = "sha256:5b60e3afa9635e3dfd3ace2757039593e3bd3cf128be0ddb7a1ff4ac45fa5a50"},
{file = "fonttools-4.47.2-cp39-cp39-win_amd64.whl", hash = "sha256:7ee48bd9d6b7e8f66866c9090807e3a4a56cf43ffad48962725a190e0dd774c8"},
{file = "fonttools-4.47.2-py3-none-any.whl", hash = "sha256:7eb7ad665258fba68fd22228a09f347469d95a97fb88198e133595947a20a184"},
{file = "fonttools-4.47.2.tar.gz", hash = "sha256:7df26dd3650e98ca45f1e29883c96a0b9f5bb6af8d632a6a108bc744fa0bd9b3"},
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
]
[package.extras]
all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
graphite = ["lz4 (>=1.7.4.2)"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
interpolatable = ["munkres", "pycairo", "scipy"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
lxml = ["lxml (>=4.0,<5)"]
pathops = ["skia-pathops (>=0.5.0)"]
plot = ["matplotlib"]
repacker = ["uharfbuzz (>=0.23.0)"]
symfont = ["sympy"]
type1 = ["xattr"]
ufo = ["fs (>=2.2.0,<3)"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
unicode = ["unicodedata2 (>=15.1.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
[[package]]
name = "fsspec"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "2023.12.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "File-system specification"
optional = false
python-versions = ">=3.8"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "fsspec-2023.12.2-py3-none-any.whl", hash = "sha256:d800d87f72189a745fa3d6b033b9dc4a34ad069f60ca60b943a63599f5501960"},
{file = "fsspec-2023.12.2.tar.gz", hash = "sha256:8548d39e8810b59c38014934f6b31e57f40c1b20f911f4cc2b85389c7e9bf0cb"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
abfs = ["adlfs"]
adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
devel = ["pytest", "pytest-cov"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
github = ["requests"]
gs = ["gcsfs"]
gui = ["panel"]
hdfs = ["pyarrow (>=1)"]
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
libarchive = ["libarchive-c"]
oci = ["ocifs"]
s3 = ["s3fs"]
sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
tqdm = ["tqdm"]
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
[[package]]
name = "ftfy"
fix(deps): update dependency ftfy to v6.3.0 (#13480)
2024-10-15 16:59:17 -07:00
version = "6.3.0"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
description = "Fixes mojibake and other problems with Unicode, after the fact"
optional = false
fix(deps): update dependency ftfy to v6.3.0 (#13480)
2024-10-15 16:59:17 -07:00
python-versions = ">=3.9"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
files = [
fix(deps): update dependency ftfy to v6.3.0 (#13480)
2024-10-15 16:59:17 -07:00
{file = "ftfy-6.3.0-py3-none-any.whl", hash = "sha256:17aca296801f44142e3ff2c16f93fbf6a87609ebb3704a9a41dd5d4903396caf"},
{file = "ftfy-6.3.0.tar.gz", hash = "sha256:1c7d6418e72b25a7760feb150acf574b86924dbb2e95b32c0b3abbd1ba3d7ad6"},
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
]
[package.dependencies]
fix(deps): update dependency ftfy to v6.3.0 (#13480)
2024-10-15 16:59:17 -07:00
wcwidth = "*"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
[[package]]
name = "gevent"
version = "24.10.3"
description = "Coroutine-based network library"
optional = false
python-versions = ">=3.9"
files = [
{file = "gevent-24.10.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d7a1ad0f2da582f5bd238bca067e1c6c482c30c15a6e4d14aaa3215cbb2232f3"},
{file = "gevent-24.10.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4e526fdc279c655c1e809b0c34b45844182c2a6b219802da5e411bd2cf5a8ad"},
{file = "gevent-24.10.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:57a5c4e0bdac482c5f02f240d0354e61362df73501ef6ebafce8ef635cad7527"},
{file = "gevent-24.10.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d67daed8383326dc8b5e58d88e148d29b6b52274a489e383530b0969ae7b9cb9"},
{file = "gevent-24.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e24ffea72e27987979c009536fd0868e52239b44afe6cf7135ce8aafd0f108e"},
{file = "gevent-24.10.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c1d80090485da1ea3d99205fe97908b31188c1f4857f08b333ffaf2de2e89d18"},
{file = "gevent-24.10.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f0c129f81d60cda614acb4b0c5731997ca05b031fb406fcb58ad53a7ade53b13"},
{file = "gevent-24.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:26ca7a6b42d35129617025ac801135118333cad75856ffc3217b38e707383eba"},
{file = "gevent-24.10.3-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:68c3a0d8402755eba7f69022e42e8021192a721ca8341908acc222ea597029b6"},
{file = "gevent-24.10.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d850a453d66336272be4f1d3a8126777f3efdaea62d053b4829857f91e09755"},
{file = "gevent-24.10.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8e58ee3723f1fbe07d66892f1caa7481c306f653a6829b6fd16cb23d618a5915"},
{file = "gevent-24.10.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b52382124eca13135a3abe4f65c6bd428656975980a48e51b17aeab68bdb14db"},
{file = "gevent-24.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ca2266e08f43c0e22c028801dff7d92a0b102ef20e4caeb6a46abfb95f6a328"},
{file = "gevent-24.10.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d758f0d4dbf32502ec87bb9b536ca8055090a16f8305f0ada3ce6f34e70f2fd7"},
{file = "gevent-24.10.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0de6eb3d55c03138fda567d9bfed28487ce5d0928c5107549767a93efdf2be26"},
{file = "gevent-24.10.3-cp311-cp311-win_amd64.whl", hash = "sha256:385710355eadecdb70428a5ae3e7e5a45dcf888baa1426884588be9d25ac4290"},
{file = "gevent-24.10.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:3ad8fb70aa0ebc935729c9699ac31b210a49b689a7b27b7ac9f91676475f3f53"},
{file = "gevent-24.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f18689f7a70d2ed0e75bad5036ec3c89690a493d4cfac8d7cdb258ac04b132bd"},
{file = "gevent-24.10.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7f4f171d4d2018170454d84c934842e1b5f6ce7468ba298f6e7f7cff15000a3"},
{file = "gevent-24.10.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7021e26d70189b33c27173d4173f27bf4685d6b6f1c0ea50e5335f8491cb110c"},
{file = "gevent-24.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:34aea15f9c79f27a8faeaa361bc1e72c773a9b54a1996a2ec4eefc8bcd59a824"},
{file = "gevent-24.10.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:8af65a4d4feaec6042c666d22c322a310fba3b47e841ad52f724b9c3ce5da48e"},
{file = "gevent-24.10.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:89c4115e3f5ada55f92b61701a46043fe42f702b5af863b029e4c1a76f6cc2d4"},
{file = "gevent-24.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:1ce6dab94c0b0d24425ba55712de2f8c9cb21267150ca63f5bb3a0e1f165da99"},
{file = "gevent-24.10.3-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:f147e38423fbe96e8731f60a63475b3d2cab2f3d10578d8ee9d10c507c58a2ff"},
{file = "gevent-24.10.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18e6984ec96fc95fd67488555c38ece3015be1f38b1bcceb27b7d6c36b343008"},
{file = "gevent-24.10.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:051b22e2758accfddb0457728bfc9abf8c3f2ce6bca43f1ff6e07b5ed9e49bf4"},
{file = "gevent-24.10.3-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eb5edb6433764119a664bbb148d2aea9990950aa89cc3498f475c2408d523ea3"},
{file = "gevent-24.10.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce417bcaaab496bc9c77f75566531e9d93816262037b8b2dbb88b0fdcd66587c"},
{file = "gevent-24.10.3-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:1c3a828b033fb02b7c31da4d75014a1f82e6c072fc0523456569a57f8b025861"},
{file = "gevent-24.10.3-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:f2ae3efbbd120cdf4a68b7abc27a37e61e6f443c5a06ec2c6ad94c37cd8471ec"},
{file = "gevent-24.10.3-cp313-cp313-win_amd64.whl", hash = "sha256:9e1210334a9bc9f76c3d008e0785ca62214f8a54e1325f6c2ecab3b6a572a015"},
{file = "gevent-24.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70e9ed7ecb70e0df7dc97c3bc420de9a45a7c76bd5861c6cfec8c549700e681e"},
{file = "gevent-24.10.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3ac83b74304487afa211a01909c7dd257e574db0cd429d866c298e21df7aeedf"},
{file = "gevent-24.10.3-cp39-cp39-win32.whl", hash = "sha256:a9a89d6e396ef6f1e3968521bf56e8c4bee25b193bbf5d428b7782d582410822"},
{file = "gevent-24.10.3-cp39-cp39-win_amd64.whl", hash = "sha256:40ea3e40e8bb4fdb143c2a8edf2ccfdebd56016c7317c341ce8094c7bee08818"},
{file = "gevent-24.10.3-pp310-pypy310_pp73-macosx_11_0_universal2.whl", hash = "sha256:e534e6a968d74463b11de6c9c67f4b4bf61775fb00f2e6e0f7fcdd412ceade18"},
{file = "gevent-24.10.3.tar.gz", hash = "sha256:aa7ee1bd5cabb2b7ef35105f863b386c8d5e332f754b60cfc354148bd70d35d1"},
]
[package.dependencies]
cffi = {version = ">=1.17.1", markers = "platform_python_implementation == \"CPython\" and sys_platform == \"win32\""}
greenlet = {version = ">=3.1.1", markers = "platform_python_implementation == \"CPython\""}
"zope.event" = "*"
"zope.interface" = "*"
[package.extras]
dnspython = ["dnspython (>=1.16.0,<2.0)", "idna"]
docs = ["furo", "repoze.sphinx.autointerface", "sphinx", "sphinxcontrib-programoutput", "zope.schema"]
monitor = ["psutil (>=5.7.0)"]
recommended = ["cffi (>=1.17.1)", "dnspython (>=1.16.0,<2.0)", "idna", "psutil (>=5.7.0)"]
test = ["cffi (>=1.17.1)", "coverage (>=5.0)", "dnspython (>=1.16.0,<2.0)", "idna", "objgraph", "psutil (>=5.7.0)", "requests"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "geventhttpclient"
fix(deps): update machine-learning (#9812) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-05-28 02:07:27 -07:00
version = "2.3.1"
chore(deps): update machine-learning (#9029)
2024-04-23 11:33:12 -07:00
description = "HTTP client library for gevent"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
optional = false
chore(deps): update machine-learning (#9029)
2024-04-23 11:33:12 -07:00
python-versions = ">=3.9"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
fix(deps): update machine-learning (#9812) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-05-28 02:07:27 -07:00
{file = "geventhttpclient-2.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:da22ab7bf5af4ba3d07cffee6de448b42696e53e7ac1fe97ed289037733bf1c2"},
{file = "geventhttpclient-2.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2399e3d4e2fae8bbd91756189da6e9d84adf8f3eaace5eef0667874a705a29f8"},
{file = "geventhttpclient-2.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3e33e87d0d5b9f5782c4e6d3cb7e3592fea41af52713137d04776df7646d71b"},
{file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c071db313866c3d0510feb6c0f40ec086ccf7e4a845701b6316c82c06e8b9b29"},
{file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f36f0c6ef88a27e60af8369d9c2189fe372c6f2943182a7568e0f2ad33bb69f1"},
{file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4624843c03a5337282a42247d987c2531193e57255ee307b36eeb4f243a0c21"},
{file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d614573621ba827c417786057e1e20e9f96c4f6b3878c55b1b7b54e1026693bc"},
{file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5d51330a40ac9762879d0e296c279c1beae8cfa6484bb196ac829242c416b709"},
{file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc9f2162d4e8cb86bb5322d99bfd552088a3eacd540a841298f06bb8bc1f1f03"},
{file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:06e59d3397e63c65ecc7a7561a5289f0cf2e2c2252e29632741e792f57f5d124"},
{file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4436eef515b3e0c1d4a453ae32e047290e780a623c1eddb11026ae9d5fb03d42"},
{file = "geventhttpclient-2.3.1-cp310-cp310-win32.whl", hash = "sha256:5d1cf7d8a4f8e15cc8fd7d88ac4cdb058d6274203a42587e594cc9f0850ac862"},
{file = "geventhttpclient-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:4deaebc121036f7ea95430c2d0f80ab085b15280e6ab677a6360b70e57020e7f"},
{file = "geventhttpclient-2.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f0ae055b9ce1704f2ce72c0847df28f4e14dbb3eea79256cda6c909d82688ea3"},
{file = "geventhttpclient-2.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f087af2ac439495b5388841d6f3c4de8d2573ca9870593d78f7b554aa5cfa7f5"},
{file = "geventhttpclient-2.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:76c367d175810facfe56281e516c9a5a4a191eff76641faaa30aa33882ed4b2f"},
{file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a58376d0d461fe0322ff2ad362553b437daee1eeb92b4c0e3b1ffef9e77defbe"},
{file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f440cc704f8a9869848a109b2c401805c17c070539b2014e7b884ecfc8591e33"},
{file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f10c62994f9052f23948c19de930b2d1f063240462c8bd7077c2b3290e61f4fa"},
{file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52c45d9f3dd9627844c12e9ca347258c7be585bed54046336220e25ea6eac155"},
{file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:77c1a2c6e3854bf87cd5588b95174640c8a881716bd07fa0d131d082270a6795"},
{file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ce649d4e25c2d56023471df0bf1e8e2ab67dfe4ff12ce3e8fe7e6fae30cd672a"},
{file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:265d9f31b4ac8f688eebef0bd4c814ffb37a16f769ad0c8c8b8c24a84db8eab5"},
{file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2de436a9d61dae877e4e811fb3e2594e2a1df1b18f4280878f318aef48a562b9"},
{file = "geventhttpclient-2.3.1-cp311-cp311-win32.whl", hash = "sha256:83e22178b9480b0a95edf0053d4f30b717d0b696b3c262beabe6964d9c5224b1"},
{file = "geventhttpclient-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:97b072a282233384c1302a7dee88ad8bfedc916f06b1bc1da54f84980f1406a9"},
{file = "geventhttpclient-2.3.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e1c90abcc2735cd8dd2d2572a13da32f6625392dc04862decb5c6476a3ddee22"},
{file = "geventhttpclient-2.3.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5deb41c2f51247b4e568c14964f59d7b8e537eff51900564c88af3200004e678"},
{file = "geventhttpclient-2.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c6f1a56a66a90c4beae2f009b5e9d42db9a58ced165aa35441ace04d69cb7b37"},
{file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ee6e741849c29e3129b1ec3828ac3a5e5dcb043402f852ea92c52334fb8cabf"},
{file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0d0972096a63b1ddaa73fa3dab2c7a136e3ab8bf7999a2f85a5dee851fa77cdd"},
{file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00675ba682fb7d19d659c14686fa8a52a65e3f301b56c2a4ee6333b380dd9467"},
{file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea77b67c186df90473416f4403839728f70ef6cf1689cec97b4f6bbde392a8a8"},
{file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ddcc3f0fdffd9a3801e1005b73026202cffed8199863fdef9315bea9a860a032"},
{file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:c9f1ef4ec048563cc621a47ff01a4f10048ff8b676d7a4d75e5433ed8e703e56"},
{file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:a364b30bec7a0a00dbe256e2b6807e4dc866bead7ac84aaa51ca5e2c3d15c258"},
{file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:25d255383d3d6a6fbd643bb51ae1a7e4f6f7b0dbd5f3225b537d0bd0432eaf39"},
{file = "geventhttpclient-2.3.1-cp312-cp312-win32.whl", hash = "sha256:ad0b507e354d2f398186dcb12fe526d0594e7c9387b514fb843f7a14fdf1729a"},
{file = "geventhttpclient-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:7924e0883bc2b177cfe27aa65af6bb9dd57f3e26905c7675a2d1f3ef69df7cca"},
{file = "geventhttpclient-2.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fe912c6456faab196b952adcd63e9353a0d5c8deb31c8d733d38f4f0ab22e359"},
{file = "geventhttpclient-2.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8b599359779c2278018786c35d70664d441a7cd0d6baef2b2cd0d1685cf478ed"},
{file = "geventhttpclient-2.3.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:34107b506e2c40ec7784efa282469bf86888cacddced463dceeb58c201834897"},
{file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc34031905b2b31a80d88cd33d7e42b81812950e5304860ab6a65ee2803e2046"},
{file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50b54f67ba2087f4d9d2172065c5c5de0f0c7f865ac350116e5452de4be31444"},
{file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ddeb431836c2ef7fd33c505a06180dc907b474e0e8537a43ff12e12c9bf0307"},
{file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4890713433ca19b081f70b5f7ad258a0979ec3354f9538b50b3ad7d0a86f88de"},
{file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b8ca7dcbe94cb563341087b00b6fbd0fdd70b2acc1b5d963f9ebbfbc1e5e2893"},
{file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:05a1bbdd43ae36bcc10b3dbfa0806aefc5033a91efecfddfe56159446a46ea71"},
{file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f82c454595a88a5e510ae0985711ef398386998b6f37d90fc30e9ff1a2001280"},
{file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6b032a5cdb1721921f4cd36aad620af318263b462962cfb23d648cdb93aab232"},
{file = "geventhttpclient-2.3.1-cp39-cp39-win32.whl", hash = "sha256:ce2c7d18bac7ffdacc4a86cd490bea6136a7d1e1170f8624f2e3bbe3b189d5b8"},
{file = "geventhttpclient-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:6ca50dd9761971d3557b897108933b34fb4a11533d52f0f2753840c740a2861a"},
{file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c31431e38df45b3c79bf3c9427c796adb8263d622bc6fa25e2f6ba916c2aad93"},
{file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:855ab1e145575769b180b57accb0573a77cd6a7392f40a6ef7bc9a4926ebd77b"},
{file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a374aad77c01539e786d0c7829bec2eba034ccd45733c1bf9811ad18d2a8ecd"},
{file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66c1e97460608304f400485ac099736fff3566d3d8db2038533d466f8cf5de5a"},
{file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4f843f81ee44ba4c553a1b3f73115e0ad8f00044023c24db29f5b1df3da08465"},
{file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:321b73c73d73b85cfeff36b9b5ee04174ec8406fb3dadc129558a26ccb879360"},
{file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:829d03c2a140edbe74ad1fb4f850384f585f3e06fc47cfe647d065412b93926f"},
{file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:994c543f156db7bce3bae15491a0e041eeb3f1cf467e0d1db0c161a900a90bec"},
{file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4beff505306aa9da5cdfe2f206b403ec7c8d06a22d6b7248365772858c4ee8c"},
{file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fb0a9673074541ccda09a2423fa16f4528819ceb1ba19d252213f6aca7d4b44a"},
{file = "geventhttpclient-2.3.1.tar.gz", hash = "sha256:b40ddac8517c456818942c7812f555f84702105c82783238c9fcb8dc12675185"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
brotli = "*"
certifi = "*"
chore(deps): update machine-learning (#9029)
2024-04-23 11:33:12 -07:00
gevent = "*"
urllib3 = "*"
[package.extras]
benchmarks = ["httplib2", "httpx", "requests", "urllib3"]
dev = ["dpkt", "pytest", "requests"]
examples = ["oauth2"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
[[package]]
name = "greenlet"
version = "3.1.1"
description = "Lightweight in-process concurrent programming"
optional = false
python-versions = ">=3.7"
files = [
{file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36b89d13c49216cadb828db8dfa6ce86bbbc476a82d3a6c397f0efae0525bdd0"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:94b6150a85e1b33b40b1464a3f9988dcc5251d6ed06842abff82e42632fac120"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93147c513fac16385d1036b7e5b102c7fbbdb163d556b791f0f11eada7ba65dc"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:da7a9bff22ce038e19bf62c4dd1ec8391062878710ded0a845bcf47cc0200617"},
{file = "greenlet-3.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b2795058c23988728eec1f36a4e5e4ebad22f8320c85f3587b539b9ac84128d7"},
{file = "greenlet-3.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ed10eac5830befbdd0c32f83e8aa6288361597550ba669b04c48f0f9a2c843c6"},
{file = "greenlet-3.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:77c386de38a60d1dfb8e55b8c1101d68c79dfdd25c7095d51fec2dd800892b80"},
{file = "greenlet-3.1.1-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:e4d333e558953648ca09d64f13e6d8f0523fa705f51cae3f03b5983489958c70"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09fc016b73c94e98e29af67ab7b9a879c307c6731a2c9da0db5a7d9b7edd1159"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d5e975ca70269d66d17dd995dafc06f1b06e8cb1ec1e9ed54c1d1e4a7c4cf26e"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b2813dc3de8c1ee3f924e4d4227999285fd335d1bcc0d2be6dc3f1f6a318ec1"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e347b3bfcf985a05e8c0b7d462ba6f15b1ee1c909e2dcad795e49e91b152c383"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9e8f8c9cb53cdac7ba9793c276acd90168f416b9ce36799b9b885790f8ad6c0a"},
{file = "greenlet-3.1.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:62ee94988d6b4722ce0028644418d93a52429e977d742ca2ccbe1c4f4a792511"},
{file = "greenlet-3.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1776fd7f989fc6b8d8c8cb8da1f6b82c5814957264d1f6cf818d475ec2bf6395"},
{file = "greenlet-3.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:48ca08c771c268a768087b408658e216133aecd835c0ded47ce955381105ba39"},
{file = "greenlet-3.1.1-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:4afe7ea89de619adc868e087b4d2359282058479d7cfb94970adf4b55284574d"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f406b22b7c9a9b4f8aa9d2ab13d6ae0ac3e85c9a809bd590ad53fed2bf70dc79"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c3a701fe5a9695b238503ce5bbe8218e03c3bcccf7e204e455e7462d770268aa"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2846930c65b47d70b9d178e89c7e1a69c95c1f68ea5aa0a58646b7a96df12441"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99cfaa2110534e2cf3ba31a7abcac9d328d1d9f1b95beede58294a60348fba36"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1443279c19fca463fc33e65ef2a935a5b09bb90f978beab37729e1c3c6c25fe9"},
{file = "greenlet-3.1.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:b7cede291382a78f7bb5f04a529cb18e068dd29e0fb27376074b6d0317bf4dd0"},
{file = "greenlet-3.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:23f20bb60ae298d7d8656c6ec6db134bca379ecefadb0b19ce6f19d1f232a942"},
{file = "greenlet-3.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:7124e16b4c55d417577c2077be379514321916d5790fa287c9ed6f23bd2ffd01"},
{file = "greenlet-3.1.1-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:05175c27cb459dcfc05d026c4232f9de8913ed006d42713cb8a5137bd49375f1"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:935e943ec47c4afab8965954bf49bfa639c05d4ccf9ef6e924188f762145c0ff"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:667a9706c970cb552ede35aee17339a18e8f2a87a51fba2ed39ceeeb1004798a"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b8a678974d1f3aa55f6cc34dc480169d58f2e6d8958895d68845fa4ab566509e"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efc0f674aa41b92da8c49e0346318c6075d734994c3c4e4430b1c3f853e498e4"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0153404a4bb921f0ff1abeb5ce8a5131da56b953eda6e14b88dc6bbc04d2049e"},
{file = "greenlet-3.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:275f72decf9932639c1c6dd1013a1bc266438eb32710016a1c742df5da6e60a1"},
{file = "greenlet-3.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c4aab7f6381f38a4b42f269057aee279ab0fc7bf2e929e3d4abfae97b682a12c"},
{file = "greenlet-3.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:b42703b1cf69f2aa1df7d1030b9d77d3e584a70755674d60e710f0af570f3761"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1695e76146579f8c06c1509c7ce4dfe0706f49c6831a817ac04eebb2fd02011"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7876452af029456b3f3549b696bb36a06db7c90747740c5302f74a9e9fa14b13"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ead44c85f8ab905852d3de8d86f6f8baf77109f9da589cb4fa142bd3b57b475"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8320f64b777d00dd7ccdade271eaf0cad6636343293a25074cc5566160e4de7b"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6510bf84a6b643dabba74d3049ead221257603a253d0a9873f55f6a59a65f822"},
{file = "greenlet-3.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:04b013dc07c96f83134b1e99888e7a79979f1a247e2a9f59697fa14b5862ed01"},
{file = "greenlet-3.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:411f015496fec93c1c8cd4e5238da364e1da7a124bcb293f085bf2860c32c6f6"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47da355d8687fd65240c364c90a31569a133b7b60de111c255ef5b606f2ae291"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98884ecf2ffb7d7fe6bd517e8eb99d31ff7855a840fa6d0d63cd07c037f6a981"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1d4aeb8891338e60d1ab6127af1fe45def5259def8094b9c7e34690c8858803"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db32b5348615a04b82240cc67983cb315309e88d444a288934ee6ceaebcad6cc"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dcc62f31eae24de7f8dce72134c8651c58000d3b1868e01392baea7c32c247de"},
{file = "greenlet-3.1.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:1d3755bcb2e02de341c55b4fca7a745a24a9e7212ac953f6b3a48d117d7257aa"},
{file = "greenlet-3.1.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:b8da394b34370874b4572676f36acabac172602abf054cbc4ac910219f3340af"},
{file = "greenlet-3.1.1-cp37-cp37m-win32.whl", hash = "sha256:a0dfc6c143b519113354e780a50381508139b07d2177cb6ad6a08278ec655798"},
{file = "greenlet-3.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:54558ea205654b50c438029505def3834e80f0869a70fb15b871c29b4575ddef"},
{file = "greenlet-3.1.1-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:346bed03fe47414091be4ad44786d1bd8bef0c3fcad6ed3dee074a032ab408a9"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfc59d69fc48664bc693842bd57acfdd490acafda1ab52c7836e3fc75c90a111"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d21e10da6ec19b457b82636209cbe2331ff4306b54d06fa04b7c138ba18c8a81"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:37b9de5a96111fc15418819ab4c4432e4f3c2ede61e660b1e33971eba26ef9ba"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ef9ea3f137e5711f0dbe5f9263e8c009b7069d8a1acea822bd5e9dae0ae49c8"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:85f3ff71e2e60bd4b4932a043fbbe0f499e263c628390b285cb599154a3b03b1"},
{file = "greenlet-3.1.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:95ffcf719966dd7c453f908e208e14cde192e09fde6c7186c8f1896ef778d8cd"},
{file = "greenlet-3.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:03a088b9de532cbfe2ba2034b2b85e82df37874681e8c470d6fb2f8c04d7e4b7"},
{file = "greenlet-3.1.1-cp38-cp38-win32.whl", hash = "sha256:8b8b36671f10ba80e159378df9c4f15c14098c4fd73a36b9ad715f057272fbef"},
{file = "greenlet-3.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:7017b2be767b9d43cc31416aba48aab0d2309ee31b4dbf10a1d38fb7972bdf9d"},
{file = "greenlet-3.1.1-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:396979749bd95f018296af156201d6211240e7a23090f50a8d5d18c370084dc3"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca9d0ff5ad43e785350894d97e13633a66e2b50000e8a183a50a88d834752d42"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f6ff3b14f2df4c41660a7dec01045a045653998784bf8cfcb5a525bdffffbc8f"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:94ebba31df2aa506d7b14866fed00ac141a867e63143fe5bca82a8e503b36437"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73aaad12ac0ff500f62cebed98d8789198ea0e6f233421059fa68a5aa7220145"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:63e4844797b975b9af3a3fb8f7866ff08775f5426925e1e0bbcfe7932059a12c"},
{file = "greenlet-3.1.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7939aa3ca7d2a1593596e7ac6d59391ff30281ef280d8632fa03d81f7c5f955e"},
{file = "greenlet-3.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d0028e725ee18175c6e422797c407874da24381ce0690d6b9396c204c7f7276e"},
{file = "greenlet-3.1.1-cp39-cp39-win32.whl", hash = "sha256:5e06afd14cbaf9e00899fae69b24a32f2196c19de08fcb9f4779dd4f004e5e7c"},
{file = "greenlet-3.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:3319aa75e0e0639bc15ff54ca327e8dc7a6fe404003496e3c6925cd3142e0e22"},
{file = "greenlet-3.1.1.tar.gz", hash = "sha256:4ce3ac6cdb6adf7946475d7ef31777c26d94bccc377e070a7986bd2d5c515467"},
]
[package.extras]
docs = ["Sphinx", "furo"]
test = ["objgraph", "psutil"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "gunicorn"
fix(deps): update machine-learning (major) (#11928)
2024-08-28 14:59:57 -07:00
version = "23.0.0"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "WSGI HTTP Server for UNIX"
optional = false
fix(deps): update dependency gunicorn to v22 [security] (#8863)
2024-04-17 08:23:24 -07:00
python-versions = ">=3.7"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
fix(deps): update machine-learning (major) (#11928)
2024-08-28 14:59:57 -07:00
{file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"},
{file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
chore(ml): memory optimisations (#3934)
2023-08-31 16:30:53 -07:00
packaging = "*"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[package.extras]
fix(deps): update dependency gunicorn to v22 [security] (#8863)
2024-04-17 08:23:24 -07:00
eventlet = ["eventlet (>=0.24.1,!=0.36.0)"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
gevent = ["gevent (>=1.4.0)"]
setproctitle = ["setproctitle"]
fix(deps): update dependency gunicorn to v22 [security] (#8863)
2024-04-17 08:23:24 -07:00
testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
tornado = ["tornado (>=0.2)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[[package]]
name = "httpcore"
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
version = "1.0.2"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
description = "A minimal low-level HTTP client."
optional = false
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
python-versions = ">=3.8"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
files = [
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
{file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
{file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
asyncio = ["anyio (>=4.0,<5.0)"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
trio = ["trio (>=0.22.0,<0.23.0)"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "httptools"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "0.6.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A collection of framework independent HTTP protocol utils."
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "httptools-0.6.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d2f6c3c4cb1948d912538217838f6e9960bc4a521d7f9b323b3da579cd14532f"},
{file = "httptools-0.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:00d5d4b68a717765b1fabfd9ca755bd12bf44105eeb806c03d1962acd9b8e563"},
{file = "httptools-0.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:639dc4f381a870c9ec860ce5c45921db50205a37cc3334e756269736ff0aac58"},
{file = "httptools-0.6.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e57997ac7fb7ee43140cc03664de5f268813a481dff6245e0075925adc6aa185"},
{file = "httptools-0.6.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0ac5a0ae3d9f4fe004318d64b8a854edd85ab76cffbf7ef5e32920faef62f142"},
{file = "httptools-0.6.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:3f30d3ce413088a98b9db71c60a6ada2001a08945cb42dd65a9a9fe228627658"},
{file = "httptools-0.6.1-cp310-cp310-win_amd64.whl", hash = "sha256:1ed99a373e327f0107cb513b61820102ee4f3675656a37a50083eda05dc9541b"},
{file = "httptools-0.6.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:7a7ea483c1a4485c71cb5f38be9db078f8b0e8b4c4dc0210f531cdd2ddac1ef1"},
{file = "httptools-0.6.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:85ed077c995e942b6f1b07583e4eb0a8d324d418954fc6af913d36db7c05a5a0"},
{file = "httptools-0.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b0bb634338334385351a1600a73e558ce619af390c2b38386206ac6a27fecfc"},
{file = "httptools-0.6.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d9ceb2c957320def533671fc9c715a80c47025139c8d1f3797477decbc6edd2"},
{file = "httptools-0.6.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4f0f8271c0a4db459f9dc807acd0eadd4839934a4b9b892f6f160e94da309837"},
{file = "httptools-0.6.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6a4f5ccead6d18ec072ac0b84420e95d27c1cdf5c9f1bc8fbd8daf86bd94f43d"},
{file = "httptools-0.6.1-cp311-cp311-win_amd64.whl", hash = "sha256:5cceac09f164bcba55c0500a18fe3c47df29b62353198e4f37bbcc5d591172c3"},
{file = "httptools-0.6.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:75c8022dca7935cba14741a42744eee13ba05db00b27a4b940f0d646bd4d56d0"},
{file = "httptools-0.6.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:48ed8129cd9a0d62cf4d1575fcf90fb37e3ff7d5654d3a5814eb3d55f36478c2"},
{file = "httptools-0.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f58e335a1402fb5a650e271e8c2d03cfa7cea46ae124649346d17bd30d59c90"},
{file = "httptools-0.6.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93ad80d7176aa5788902f207a4e79885f0576134695dfb0fefc15b7a4648d503"},
{file = "httptools-0.6.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9bb68d3a085c2174c2477eb3ffe84ae9fb4fde8792edb7bcd09a1d8467e30a84"},
{file = "httptools-0.6.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b512aa728bc02354e5ac086ce76c3ce635b62f5fbc32ab7082b5e582d27867bb"},
{file = "httptools-0.6.1-cp312-cp312-win_amd64.whl", hash = "sha256:97662ce7fb196c785344d00d638fc9ad69e18ee4bfb4000b35a52efe5adcc949"},
{file = "httptools-0.6.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8e216a038d2d52ea13fdd9b9c9c7459fb80d78302b257828285eca1c773b99b3"},
{file = "httptools-0.6.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3e802e0b2378ade99cd666b5bffb8b2a7cc8f3d28988685dc300469ea8dd86cb"},
{file = "httptools-0.6.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4bd3e488b447046e386a30f07af05f9b38d3d368d1f7b4d8f7e10af85393db97"},
{file = "httptools-0.6.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe467eb086d80217b7584e61313ebadc8d187a4d95bb62031b7bab4b205c3ba3"},
{file = "httptools-0.6.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:3c3b214ce057c54675b00108ac42bacf2ab8f85c58e3f324a4e963bbc46424f4"},
{file = "httptools-0.6.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8ae5b97f690badd2ca27cbf668494ee1b6d34cf1c464271ef7bfa9ca6b83ffaf"},
{file = "httptools-0.6.1-cp38-cp38-win_amd64.whl", hash = "sha256:405784577ba6540fa7d6ff49e37daf104e04f4b4ff2d1ac0469eaa6a20fde084"},
{file = "httptools-0.6.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:95fb92dd3649f9cb139e9c56604cc2d7c7bf0fc2e7c8d7fbd58f96e35eddd2a3"},
{file = "httptools-0.6.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dcbab042cc3ef272adc11220517278519adf8f53fd3056d0e68f0a6f891ba94e"},
{file = "httptools-0.6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cf2372e98406efb42e93bfe10f2948e467edfd792b015f1b4ecd897903d3e8d"},
{file = "httptools-0.6.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:678fcbae74477a17d103b7cae78b74800d795d702083867ce160fc202104d0da"},
{file = "httptools-0.6.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e0b281cf5a125c35f7f6722b65d8542d2e57331be573e9e88bc8b0115c4a7a81"},
{file = "httptools-0.6.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:95658c342529bba4e1d3d2b1a874db16c7cca435e8827422154c9da76ac4e13a"},
{file = "httptools-0.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ebaec1bf683e4bf5e9fbb49b8cc36da482033596a415b3e4ebab5a4c0d7ec5e"},
{file = "httptools-0.6.1.tar.gz", hash = "sha256:c6e26c30455600b95d94b1b836085138e82f177351454ee841c148f93a9bad5a"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
test = ["Cython (>=0.29.24,<0.30.0)"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[[package]]
name = "httpx"
fix(deps): update machine-learning (#12257)
2024-09-04 11:36:12 -07:00
version = "0.27.2"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
description = "The next generation HTTP client."
optional = false
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
python-versions = ">=3.8"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
files = [
fix(deps): update machine-learning (#12257)
2024-09-04 11:36:12 -07:00
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
]
[package.dependencies]
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
anyio = "*"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
certifi = "*"
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
httpcore = "==1.*"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
fix(deps): update machine-learning (#12257)
2024-09-04 11:36:12 -07:00
zstd = ["zstandard (>=0.18.0)"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "huggingface-hub"
chore(deps): update machine-learning (#13452)
2024-10-15 11:39:35 -07:00
version = "0.25.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
chore(deps): update machine-learning (#13452)
2024-10-15 11:39:35 -07:00
{file = "huggingface_hub-0.25.2-py3-none-any.whl", hash = "sha256:1897caf88ce7f97fe0110603d8f66ac264e3ba6accdf30cd66cc0fed5282ad25"},
{file = "huggingface_hub-0.25.2.tar.gz", hash = "sha256:a1014ea111a5f40ccd23f7f7ba8ac46e20fa3b658ced1f86a00c75c06ec6423c"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
filelock = "*"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
fsspec = ">=2023.5.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
packaging = ">=20.9"
pyyaml = ">=5.1"
requests = "*"
tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
cli = ["InquirerPy (==0.3.4)"]
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
fix(deps): update machine-learning (#7634) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-05 22:24:33 -07:00
hf-transfer = ["hf-transfer (>=0.1.4)"]
fix(deps): update machine-learning (#8280) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-30 23:05:18 -07:00
inference = ["aiohttp", "minijinja (>=1.0)"]
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
tensorflow = ["graphviz", "pydot", "tensorflow"]
fix(deps): update machine-learning (#8280) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-30 23:05:18 -07:00
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["safetensors[torch]", "torch"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "humanfriendly"
version = "10.0"
description = "Human friendly output for text interfaces using Python"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
files = [
{file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
{file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
]
[package.dependencies]
pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
[[package]]
name = "idna"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "3.6"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.5"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
{file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "imageio"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "2.33.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "imageio-2.33.1-py3-none-any.whl", hash = "sha256:c5094c48ccf6b2e6da8b4061cd95e1209380afafcbeae4a4e280938cce227e1d"},
{file = "imageio-2.33.1.tar.gz", hash = "sha256:78722d40b137bd98f5ec7312119f8aea9ad2049f76f434748eb306b6937cc1ce"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
numpy = "*"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
pillow = ">=8.3.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
build = ["wheel"]
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
ffmpeg = ["imageio-ffmpeg", "psutil"]
fits = ["astropy"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
gdal = ["gdal"]
itk = ["itk"]
linting = ["black", "flake8"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
pillow-heif = ["pillow-heif"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
pyav = ["av"]
test = ["fsspec[github]", "pytest", "pytest-cov"]
tifffile = ["tifffile"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "insightface"
version = "0.7.3"
description = "InsightFace Python Library"
optional = false
python-versions = "*"
files = [
{file = "insightface-0.7.3.tar.gz", hash = "sha256:f191f719612ebb37018f41936814500544cd0f86e6fcd676c023f354c668ddf7"},
]
[package.dependencies]
albumentations = "*"
cython = "*"
easydict = "*"
matplotlib = "*"
numpy = "*"
onnx = "*"
Pillow = "*"
prettytable = "*"
requests = "*"
scikit-image = "*"
scikit-learn = "*"
scipy = "*"
tqdm = "*"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "itsdangerous"
version = "2.1.2"
description = "Safely pass data to untrusted environments and back."
optional = false
python-versions = ">=3.7"
files = [
{file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
{file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "jinja2"
chore(deps-dev): bump jinja2 from 3.1.3 to 3.1.4 in /machine-learning (#9483)
2024-05-14 10:08:29 -07:00
version = "3.1.4"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A very fast and expressive template engine."
optional = false
python-versions = ">=3.7"
files = [
chore(deps-dev): bump jinja2 from 3.1.3 to 3.1.4 in /machine-learning (#9483)
2024-05-14 10:08:29 -07:00
{file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
{file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
MarkupSafe = ">=2.0"
[package.extras]
i18n = ["Babel (>=2.7)"]
[[package]]
name = "joblib"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
version = "1.3.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Lightweight pipelining with Python functions"
optional = false
python-versions = ">=3.7"
files = [
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
{file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
{file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "kiwisolver"
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
version = "1.4.5"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A fast implementation of the Cassowary constraint solver"
optional = false
python-versions = ">=3.7"
files = [
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
{file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"},
{file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"},
{file = "kiwisolver-1.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4"},
{file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1"},
{file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff"},
{file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a"},
{file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa"},
{file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c"},
{file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b"},
{file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770"},
{file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0"},
{file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525"},
{file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b"},
{file = "kiwisolver-1.4.5-cp310-cp310-win32.whl", hash = "sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238"},
{file = "kiwisolver-1.4.5-cp310-cp310-win_amd64.whl", hash = "sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276"},
{file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5"},
{file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90"},
{file = "kiwisolver-1.4.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797"},
{file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9"},
{file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437"},
{file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9"},
{file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da"},
{file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e"},
{file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8"},
{file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d"},
{file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0"},
{file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f"},
{file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f"},
{file = "kiwisolver-1.4.5-cp311-cp311-win32.whl", hash = "sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac"},
{file = "kiwisolver-1.4.5-cp311-cp311-win_amd64.whl", hash = "sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355"},
{file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a"},
{file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192"},
{file = "kiwisolver-1.4.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45"},
{file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7"},
{file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db"},
{file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff"},
{file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228"},
{file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16"},
{file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9"},
{file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162"},
{file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4"},
{file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3"},
{file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a"},
{file = "kiwisolver-1.4.5-cp312-cp312-win32.whl", hash = "sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20"},
{file = "kiwisolver-1.4.5-cp312-cp312-win_amd64.whl", hash = "sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9"},
{file = "kiwisolver-1.4.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130"},
{file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898"},
{file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709"},
{file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b"},
{file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89"},
{file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985"},
{file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265"},
{file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a"},
{file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205"},
{file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb"},
{file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f"},
{file = "kiwisolver-1.4.5-cp37-cp37m-win32.whl", hash = "sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3"},
{file = "kiwisolver-1.4.5-cp37-cp37m-win_amd64.whl", hash = "sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a"},
{file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71"},
{file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93"},
{file = "kiwisolver-1.4.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29"},
{file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712"},
{file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6"},
{file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb"},
{file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18"},
{file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333"},
{file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da"},
{file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b"},
{file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c"},
{file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc"},
{file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250"},
{file = "kiwisolver-1.4.5-cp38-cp38-win32.whl", hash = "sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e"},
{file = "kiwisolver-1.4.5-cp38-cp38-win_amd64.whl", hash = "sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced"},
{file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d"},
{file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9"},
{file = "kiwisolver-1.4.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046"},
{file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0"},
{file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff"},
{file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54"},
{file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958"},
{file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3"},
{file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf"},
{file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901"},
{file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9"},
{file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342"},
{file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77"},
{file = "kiwisolver-1.4.5-cp39-cp39-win32.whl", hash = "sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f"},
{file = "kiwisolver-1.4.5-cp39-cp39-win_amd64.whl", hash = "sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635"},
{file = "kiwisolver-1.4.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920"},
{file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390"},
{file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d"},
{file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523"},
{file = "kiwisolver-1.4.5-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4"},
{file = "kiwisolver-1.4.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892"},
{file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544"},
{file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126"},
{file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd"},
{file = "kiwisolver-1.4.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929"},
{file = "kiwisolver-1.4.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09"},
{file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7"},
{file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad"},
{file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea"},
{file = "kiwisolver-1.4.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee"},
{file = "kiwisolver-1.4.5.tar.gz", hash = "sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "lazy-loader"
moved deps (#3379)
2023-07-22 13:04:52 -07:00
version = "0.3"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "lazy_loader"
optional = false
python-versions = ">=3.7"
files = [
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "lazy_loader-0.3-py3-none-any.whl", hash = "sha256:1e9e76ee8631e264c62ce10006718e80b2cfc74340d17d1031e0f84af7478554"},
{file = "lazy_loader-0.3.tar.gz", hash = "sha256:3b68898e34f5b2a29daaaac172c6555512d0f32074f147e2254e4a6d9d838f37"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
moved deps (#3379)
2023-07-22 13:04:52 -07:00
lint = ["pre-commit (>=3.3)"]
test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "locust"
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
version = "2.32.0"
fix(deps): update machine-learning (#9812) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-05-28 02:07:27 -07:00
description = "Developer-friendly load testing framework"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
optional = false
chore(deps): update machine-learning (#9029)
2024-04-23 11:33:12 -07:00
python-versions = ">=3.9"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "locust-2.32.0-py3-none-any.whl", hash = "sha256:e004514332b8631ca91382d11d224baee4ced040c5f5c8b2233800ebcbc73c0e"},
{file = "locust-2.32.0.tar.gz", hash = "sha256:d8f7f5d9d4e801b2e7b0ee3f31109333673da744ccedf85e7da0151f2d263dd9"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
ConfigArgParse = ">=1.5.5"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
flask = ">=2.0.0"
Flask-Cors = ">=3.0.10"
chore(deps): update machine-learning (#6931) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-12 19:08:17 -07:00
Flask-Login = ">=0.6.3"
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
gevent = [
{version = ">=22.10.2", markers = "python_full_version <= \"3.12.0\""},
{version = ">=24.10.1", markers = "python_full_version > \"3.13.0\""},
]
fix(deps): update machine-learning (#9812) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-05-28 02:07:27 -07:00
geventhttpclient = ">=2.3.1"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
msgpack = ">=1.0.0"
psutil = ">=5.9.1"
chore(deps): update machine-learning (#11605) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-08-05 18:00:00 -07:00
pywin32 = {version = "*", markers = "sys_platform == \"win32\""}
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
pyzmq = ">=25.0.0"
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
requests = [
chore(deps): update pydantic to v2 (#11701)
2024-08-11 09:23:11 -07:00
{version = ">=2.26.0", markers = "python_full_version <= \"3.11.0\""},
chore(deps): update machine-learning (#11739) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-08-13 14:41:37 -07:00
{version = ">=2.32.2", markers = "python_full_version > \"3.11.0\""},
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
]
fix(deps): update machine-learning (#7634) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-05 22:24:33 -07:00
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
chore(deps): update machine-learning (#11605) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-08-05 18:00:00 -07:00
typing_extensions = {version = ">=4.6.0", markers = "python_version < \"3.11\""}
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
Werkzeug = ">=2.0.0"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
[[package]]
name = "markdown-it-py"
version = "3.0.0"
description = "Python port of markdown-it. Markdown parsing, done right!"
optional = false
python-versions = ">=3.8"
files = [
{file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
{file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
]
[package.dependencies]
mdurl = ">=0.1,<1.0"
[package.extras]
benchmarking = ["psutil", "pytest", "pytest-benchmark"]
code-style = ["pre-commit (>=3.0,<4.0)"]
compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
linkify = ["linkify-it-py (>=1,<3)"]
plugins = ["mdit-py-plugins"]
profiling = ["gprof2dot"]
rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "markupsafe"
feat(ml): model unloading (#2661) * model cache * fixed revalidation when using cache namespace * fixed ttl not being set, added lock
2023-06-06 18:48:51 -07:00
version = "2.1.3"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Safely add untrusted strings to HTML/XML markup."
optional = false
python-versions = ">=3.7"
files = [
feat(ml): model unloading (#2661) * model cache * fixed revalidation when using cache namespace * fixed ttl not being set, added lock
2023-06-06 18:48:51 -07:00
{file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
{file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
{file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f"},
{file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52"},
{file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:525808b8019e36eb524b8c68acdd63a37e75714eac50e988180b169d64480a00"},
{file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:962f82a3086483f5e5f64dbad880d31038b698494799b097bc59c2edf392fce6"},
{file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:aa7bd130efab1c280bed0f45501b7c8795f9fdbeb02e965371bbef3523627779"},
{file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c9c804664ebe8f83a211cace637506669e7890fec1b4195b505c214e50dd4eb7"},
{file = "MarkupSafe-2.1.3-cp310-cp310-win32.whl", hash = "sha256:10bbfe99883db80bdbaff2dcf681dfc6533a614f700da1287707e8a5d78a8431"},
{file = "MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559"},
{file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c"},
{file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575"},
{file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee"},
{file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2"},
{file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:338ae27d6b8745585f87218a3f23f1512dbf52c26c28e322dbe54bcede54ccb9"},
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e4dd52d80b8c83fdce44e12478ad2e85c64ea965e75d66dbeafb0a3e77308fcc"},
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:df0be2b576a7abbf737b1575f048c23fb1d769f267ec4358296f31c2479db8f9"},
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
{file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
{file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
{file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
{file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
{file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
feat(ml): model unloading (#2661) * model cache * fixed revalidation when using cache namespace * fixed ttl not being set, added lock
2023-06-06 18:48:51 -07:00
{file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca379055a47383d02a5400cb0d110cef0a776fc644cda797db0c5696cfd7e18e"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b7ff0f54cb4ff66dd38bebd335a38e2c22c41a8ee45aa608efc890ac3e3931bc"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c011a4149cfbcf9f03994ec2edffcb8b1dc2d2aede7ca243746df97a5d41ce48"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:56d9f2ecac662ca1611d183feb03a3fa4406469dafe241673d521dd5ae92a155"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-win32.whl", hash = "sha256:8758846a7e80910096950b67071243da3e5a20ed2546e6392603c096778d48e0"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-win_amd64.whl", hash = "sha256:787003c0ddb00500e49a10f2844fac87aa6ce977b90b0feaaf9de23c22508b24"},
{file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4"},
{file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0"},
{file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee"},
{file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be"},
{file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d080e0a5eb2529460b30190fcfcc4199bd7f827663f858a226a81bc27beaa97e"},
{file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:69c0f17e9f5a7afdf2cc9fb2d1ce6aabdb3bafb7f38017c0b77862bcec2bbad8"},
{file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:504b320cd4b7eff6f968eddf81127112db685e81f7e36e75f9f84f0df46041c3"},
{file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:42de32b22b6b804f42c5d98be4f7e5e977ecdd9ee9b660fda1a3edf03b11792d"},
{file = "MarkupSafe-2.1.3-cp38-cp38-win32.whl", hash = "sha256:ceb01949af7121f9fc39f7d27f91be8546f3fb112c608bc4029aef0bab86a2a5"},
{file = "MarkupSafe-2.1.3-cp38-cp38-win_amd64.whl", hash = "sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc"},
{file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198"},
{file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b"},
{file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58"},
{file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e"},
{file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:282c2cb35b5b673bbcadb33a585408104df04f14b2d9b01d4c345a3b92861c2c"},
{file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab4a0df41e7c16a1392727727e7998a467472d0ad65f3ad5e6e765015df08636"},
{file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7ef3cb2ebbf91e330e3bb937efada0edd9003683db6b57bb108c4001f37a02ea"},
{file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0a4e4a1aff6c7ac4cd55792abf96c915634c2b97e3cc1c7129578aa68ebd754e"},
{file = "MarkupSafe-2.1.3-cp39-cp39-win32.whl", hash = "sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2"},
{file = "MarkupSafe-2.1.3-cp39-cp39-win_amd64.whl", hash = "sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba"},
{file = "MarkupSafe-2.1.3.tar.gz", hash = "sha256:af598ed32d6ae86f1b747b82783958b1a4ab8f617b06fe68795c7f026abbdcad"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "matplotlib"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "3.8.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Python plotting package"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "matplotlib-3.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09796f89fb71a0c0e1e2f4bdaf63fb2cefc84446bb963ecdeb40dfee7dfa98c7"},
{file = "matplotlib-3.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9c6976748a25e8b9be51ea028df49b8e561eed7809146da7a47dbecebab367"},
{file = "matplotlib-3.8.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b78e4f2cedf303869b782071b55fdde5987fda3038e9d09e58c91cc261b5ad18"},
{file = "matplotlib-3.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e208f46cf6576a7624195aa047cb344a7f802e113bb1a06cfd4bee431de5e31"},
{file = "matplotlib-3.8.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:46a569130ff53798ea5f50afce7406e91fdc471ca1e0e26ba976a8c734c9427a"},
{file = "matplotlib-3.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:830f00640c965c5b7f6bc32f0d4ce0c36dfe0379f7dd65b07a00c801713ec40a"},
{file = "matplotlib-3.8.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d86593ccf546223eb75a39b44c32788e6f6440d13cfc4750c1c15d0fcb850b63"},
{file = "matplotlib-3.8.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9a5430836811b7652991939012f43d2808a2db9b64ee240387e8c43e2e5578c8"},
{file = "matplotlib-3.8.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9576723858a78751d5aacd2497b8aef29ffea6d1c95981505877f7ac28215c6"},
{file = "matplotlib-3.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ba9cbd8ac6cf422f3102622b20f8552d601bf8837e49a3afed188d560152788"},
{file = "matplotlib-3.8.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:03f9d160a29e0b65c0790bb07f4f45d6a181b1ac33eb1bb0dd225986450148f0"},
{file = "matplotlib-3.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:3773002da767f0a9323ba1a9b9b5d00d6257dbd2a93107233167cfb581f64717"},
{file = "matplotlib-3.8.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:4c318c1e95e2f5926fba326f68177dee364aa791d6df022ceb91b8221bd0a627"},
{file = "matplotlib-3.8.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:091275d18d942cf1ee9609c830a1bc36610607d8223b1b981c37d5c9fc3e46a4"},
{file = "matplotlib-3.8.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b0f3b8ea0e99e233a4bcc44590f01604840d833c280ebb8fe5554fd3e6cfe8d"},
{file = "matplotlib-3.8.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7b1704a530395aaf73912be741c04d181f82ca78084fbd80bc737be04848331"},
{file = "matplotlib-3.8.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:533b0e3b0c6768eef8cbe4b583731ce25a91ab54a22f830db2b031e83cca9213"},
{file = "matplotlib-3.8.2-cp312-cp312-win_amd64.whl", hash = "sha256:0f4fc5d72b75e2c18e55eb32292659cf731d9d5b312a6eb036506304f4675630"},
{file = "matplotlib-3.8.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:deaed9ad4da0b1aea77fe0aa0cebb9ef611c70b3177be936a95e5d01fa05094f"},
{file = "matplotlib-3.8.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:172f4d0fbac3383d39164c6caafd3255ce6fa58f08fc392513a0b1d3b89c4f89"},
{file = "matplotlib-3.8.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7d36c2209d9136cd8e02fab1c0ddc185ce79bc914c45054a9f514e44c787917"},
{file = "matplotlib-3.8.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5864bdd7da445e4e5e011b199bb67168cdad10b501750367c496420f2ad00843"},
{file = "matplotlib-3.8.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ef8345b48e95cee45ff25192ed1f4857273117917a4dcd48e3905619bcd9c9b8"},
{file = "matplotlib-3.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:7c48d9e221b637c017232e3760ed30b4e8d5dfd081daf327e829bf2a72c731b4"},
{file = "matplotlib-3.8.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:aa11b3c6928a1e496c1a79917d51d4cd5d04f8a2e75f21df4949eeefdf697f4b"},
{file = "matplotlib-3.8.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1095fecf99eeb7384dabad4bf44b965f929a5f6079654b681193edf7169ec20"},
{file = "matplotlib-3.8.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:bddfb1db89bfaa855912261c805bd0e10218923cc262b9159a49c29a7a1c1afa"},
{file = "matplotlib-3.8.2.tar.gz", hash = "sha256:01a978b871b881ee76017152f1f1a0cbf6bd5f7b8ff8c96df0df1bd57d8755a1"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
contourpy = ">=1.0.1"
cycler = ">=0.10"
fonttools = ">=4.22.0"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
kiwisolver = ">=1.3.1"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
numpy = ">=1.21,<2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
packaging = ">=20.0"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
pillow = ">=8"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
pyparsing = ">=2.3.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
python-dateutil = ">=2.7"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
[[package]]
name = "mdurl"
version = "0.1.2"
description = "Markdown URL utilities"
optional = false
python-versions = ">=3.7"
files = [
{file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "mpmath"
version = "1.3.0"
description = "Python library for arbitrary-precision floating-point arithmetic"
optional = false
python-versions = "*"
files = [
{file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
{file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
]
[package.extras]
develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
docs = ["sphinx"]
gmpy = ["gmpy2 (>=2.1.0a4)"]
tests = ["pytest (>=4.6)"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "msgpack"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "1.0.7"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "MessagePack serializer"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "msgpack-1.0.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:04ad6069c86e531682f9e1e71b71c1c3937d6014a7c3e9edd2aa81ad58842862"},
{file = "msgpack-1.0.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cca1b62fe70d761a282496b96a5e51c44c213e410a964bdffe0928e611368329"},
{file = "msgpack-1.0.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e50ebce52f41370707f1e21a59514e3375e3edd6e1832f5e5235237db933c98b"},
{file = "msgpack-1.0.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a7b4f35de6a304b5533c238bee86b670b75b03d31b7797929caa7a624b5dda6"},
{file = "msgpack-1.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28efb066cde83c479dfe5a48141a53bc7e5f13f785b92ddde336c716663039ee"},
{file = "msgpack-1.0.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4cb14ce54d9b857be9591ac364cb08dc2d6a5c4318c1182cb1d02274029d590d"},
{file = "msgpack-1.0.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b573a43ef7c368ba4ea06050a957c2a7550f729c31f11dd616d2ac4aba99888d"},
{file = "msgpack-1.0.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ccf9a39706b604d884d2cb1e27fe973bc55f2890c52f38df742bc1d79ab9f5e1"},
{file = "msgpack-1.0.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cb70766519500281815dfd7a87d3a178acf7ce95390544b8c90587d76b227681"},
{file = "msgpack-1.0.7-cp310-cp310-win32.whl", hash = "sha256:b610ff0f24e9f11c9ae653c67ff8cc03c075131401b3e5ef4b82570d1728f8a9"},
{file = "msgpack-1.0.7-cp310-cp310-win_amd64.whl", hash = "sha256:a40821a89dc373d6427e2b44b572efc36a2778d3f543299e2f24eb1a5de65415"},
{file = "msgpack-1.0.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:576eb384292b139821c41995523654ad82d1916da6a60cff129c715a6223ea84"},
{file = "msgpack-1.0.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:730076207cb816138cf1af7f7237b208340a2c5e749707457d70705715c93b93"},
{file = "msgpack-1.0.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:85765fdf4b27eb5086f05ac0491090fc76f4f2b28e09d9350c31aac25a5aaff8"},
{file = "msgpack-1.0.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3476fae43db72bd11f29a5147ae2f3cb22e2f1a91d575ef130d2bf49afd21c46"},
{file = "msgpack-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d4c80667de2e36970ebf74f42d1088cc9ee7ef5f4e8c35eee1b40eafd33ca5b"},
{file = "msgpack-1.0.7-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b0bf0effb196ed76b7ad883848143427a73c355ae8e569fa538365064188b8e"},
{file = "msgpack-1.0.7-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f9a7c509542db4eceed3dcf21ee5267ab565a83555c9b88a8109dcecc4709002"},
{file = "msgpack-1.0.7-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:84b0daf226913133f899ea9b30618722d45feffa67e4fe867b0b5ae83a34060c"},
{file = "msgpack-1.0.7-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ec79ff6159dffcc30853b2ad612ed572af86c92b5168aa3fc01a67b0fa40665e"},
{file = "msgpack-1.0.7-cp311-cp311-win32.whl", hash = "sha256:3e7bf4442b310ff154b7bb9d81eb2c016b7d597e364f97d72b1acc3817a0fdc1"},
{file = "msgpack-1.0.7-cp311-cp311-win_amd64.whl", hash = "sha256:3f0c8c6dfa6605ab8ff0611995ee30d4f9fcff89966cf562733b4008a3d60d82"},
{file = "msgpack-1.0.7-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f0936e08e0003f66bfd97e74ee530427707297b0d0361247e9b4f59ab78ddc8b"},
{file = "msgpack-1.0.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:98bbd754a422a0b123c66a4c341de0474cad4a5c10c164ceed6ea090f3563db4"},
{file = "msgpack-1.0.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b291f0ee7961a597cbbcc77709374087fa2a9afe7bdb6a40dbbd9b127e79afee"},
{file = "msgpack-1.0.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ebbbba226f0a108a7366bf4b59bf0f30a12fd5e75100c630267d94d7f0ad20e5"},
{file = "msgpack-1.0.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e2d69948e4132813b8d1131f29f9101bc2c915f26089a6d632001a5c1349672"},
{file = "msgpack-1.0.7-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bdf38ba2d393c7911ae989c3bbba510ebbcdf4ecbdbfec36272abe350c454075"},
{file = "msgpack-1.0.7-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:993584fc821c58d5993521bfdcd31a4adf025c7d745bbd4d12ccfecf695af5ba"},
{file = "msgpack-1.0.7-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:52700dc63a4676669b341ba33520f4d6e43d3ca58d422e22ba66d1736b0a6e4c"},
{file = "msgpack-1.0.7-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e45ae4927759289c30ccba8d9fdce62bb414977ba158286b5ddaf8df2cddb5c5"},
{file = "msgpack-1.0.7-cp312-cp312-win32.whl", hash = "sha256:27dcd6f46a21c18fa5e5deed92a43d4554e3df8d8ca5a47bf0615d6a5f39dbc9"},
{file = "msgpack-1.0.7-cp312-cp312-win_amd64.whl", hash = "sha256:7687e22a31e976a0e7fc99c2f4d11ca45eff652a81eb8c8085e9609298916dcf"},
{file = "msgpack-1.0.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5b6ccc0c85916998d788b295765ea0e9cb9aac7e4a8ed71d12e7d8ac31c23c95"},
{file = "msgpack-1.0.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:235a31ec7db685f5c82233bddf9858748b89b8119bf4538d514536c485c15fe0"},
{file = "msgpack-1.0.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cab3db8bab4b7e635c1c97270d7a4b2a90c070b33cbc00c99ef3f9be03d3e1f7"},
{file = "msgpack-1.0.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bfdd914e55e0d2c9e1526de210f6fe8ffe9705f2b1dfcc4aecc92a4cb4b533d"},
{file = "msgpack-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36e17c4592231a7dbd2ed09027823ab295d2791b3b1efb2aee874b10548b7524"},
{file = "msgpack-1.0.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38949d30b11ae5f95c3c91917ee7a6b239f5ec276f271f28638dec9156f82cfc"},
{file = "msgpack-1.0.7-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ff1d0899f104f3921d94579a5638847f783c9b04f2d5f229392ca77fba5b82fc"},
{file = "msgpack-1.0.7-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:dc43f1ec66eb8440567186ae2f8c447d91e0372d793dfe8c222aec857b81a8cf"},
{file = "msgpack-1.0.7-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:dd632777ff3beaaf629f1ab4396caf7ba0bdd075d948a69460d13d44357aca4c"},
{file = "msgpack-1.0.7-cp38-cp38-win32.whl", hash = "sha256:4e71bc4416de195d6e9b4ee93ad3f2f6b2ce11d042b4d7a7ee00bbe0358bd0c2"},
{file = "msgpack-1.0.7-cp38-cp38-win_amd64.whl", hash = "sha256:8f5b234f567cf76ee489502ceb7165c2a5cecec081db2b37e35332b537f8157c"},
{file = "msgpack-1.0.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfef2bb6ef068827bbd021017a107194956918ab43ce4d6dc945ffa13efbc25f"},
{file = "msgpack-1.0.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:484ae3240666ad34cfa31eea7b8c6cd2f1fdaae21d73ce2974211df099a95d81"},
{file = "msgpack-1.0.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3967e4ad1aa9da62fd53e346ed17d7b2e922cba5ab93bdd46febcac39be636fc"},
{file = "msgpack-1.0.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8dd178c4c80706546702c59529ffc005681bd6dc2ea234c450661b205445a34d"},
{file = "msgpack-1.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6ffbc252eb0d229aeb2f9ad051200668fc3a9aaa8994e49f0cb2ffe2b7867e7"},
{file = "msgpack-1.0.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:822ea70dc4018c7e6223f13affd1c5c30c0f5c12ac1f96cd8e9949acddb48a61"},
{file = "msgpack-1.0.7-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:384d779f0d6f1b110eae74cb0659d9aa6ff35aaf547b3955abf2ab4c901c4819"},
{file = "msgpack-1.0.7-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f64e376cd20d3f030190e8c32e1c64582eba56ac6dc7d5b0b49a9d44021b52fd"},
{file = "msgpack-1.0.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5ed82f5a7af3697b1c4786053736f24a0efd0a1b8a130d4c7bfee4b9ded0f08f"},
{file = "msgpack-1.0.7-cp39-cp39-win32.whl", hash = "sha256:f26a07a6e877c76a88e3cecac8531908d980d3d5067ff69213653649ec0f60ad"},
{file = "msgpack-1.0.7-cp39-cp39-win_amd64.whl", hash = "sha256:1dc93e8e4653bdb5910aed79f11e165c85732067614f180f70534f056da97db3"},
{file = "msgpack-1.0.7.tar.gz", hash = "sha256:572efc93db7a4d27e404501975ca6d2d9775705c2d922390d878fcf768d92c87"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "mypy"
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
version = "1.12.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Optional static typing for Python"
optional = false
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "mypy-1.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3d7d4371829184e22fda4015278fbfdef0327a4b955a483012bd2d423a788801"},
{file = "mypy-1.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f59f1dfbf497d473201356966e353ef09d4daec48caeacc0254db8ef633a28a5"},
{file = "mypy-1.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b947097fae68004b8328c55161ac9db7d3566abfef72d9d41b47a021c2fba6b1"},
{file = "mypy-1.12.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:96af62050971c5241afb4701c15189ea9507db89ad07794a4ee7b4e092dc0627"},
{file = "mypy-1.12.1-cp310-cp310-win_amd64.whl", hash = "sha256:d90da248f4c2dba6c44ddcfea94bb361e491962f05f41990ff24dbd09969ce20"},
{file = "mypy-1.12.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1230048fec1380faf240be6385e709c8570604d2d27ec6ca7e573e3bc09c3735"},
{file = "mypy-1.12.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:02dcfe270c6ea13338210908f8cadc8d31af0f04cee8ca996438fe6a97b4ec66"},
{file = "mypy-1.12.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a5a437c9102a6a252d9e3a63edc191a3aed5f2fcb786d614722ee3f4472e33f6"},
{file = "mypy-1.12.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:186e0c8346efc027ee1f9acf5ca734425fc4f7dc2b60144f0fbe27cc19dc7931"},
{file = "mypy-1.12.1-cp311-cp311-win_amd64.whl", hash = "sha256:673ba1140a478b50e6d265c03391702fa11a5c5aff3f54d69a62a48da32cb811"},
{file = "mypy-1.12.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:9fb83a7be97c498176fb7486cafbb81decccaef1ac339d837c377b0ce3743a7f"},
{file = "mypy-1.12.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:389e307e333879c571029d5b93932cf838b811d3f5395ed1ad05086b52148fb0"},
{file = "mypy-1.12.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:94b2048a95a21f7a9ebc9fbd075a4fcd310410d078aa0228dbbad7f71335e042"},
{file = "mypy-1.12.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4ee5932370ccf7ebf83f79d1c157a5929d7ea36313027b0d70a488493dc1b179"},
{file = "mypy-1.12.1-cp312-cp312-win_amd64.whl", hash = "sha256:19bf51f87a295e7ab2894f1d8167622b063492d754e69c3c2fed6563268cb42a"},
{file = "mypy-1.12.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d34167d43613ffb1d6c6cdc0cc043bb106cac0aa5d6a4171f77ab92a3c758bcc"},
{file = "mypy-1.12.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:427878aa54f2e2c5d8db31fa9010c599ed9f994b3b49e64ae9cd9990c40bd635"},
{file = "mypy-1.12.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5fcde63ea2c9f69d6be859a1e6dd35955e87fa81de95bc240143cf00de1f7f81"},
{file = "mypy-1.12.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:d54d840f6c052929f4a3d2aab2066af0f45a020b085fe0e40d4583db52aab4e4"},
{file = "mypy-1.12.1-cp313-cp313-win_amd64.whl", hash = "sha256:20db6eb1ca3d1de8ece00033b12f793f1ea9da767334b7e8c626a4872090cf02"},
{file = "mypy-1.12.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b16fe09f9c741d85a2e3b14a5257a27a4f4886c171d562bc5a5e90d8591906b8"},
{file = "mypy-1.12.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0dcc1e843d58f444fce19da4cce5bd35c282d4bde232acdeca8279523087088a"},
{file = "mypy-1.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e10ba7de5c616e44ad21005fa13450cd0de7caaa303a626147d45307492e4f2d"},
{file = "mypy-1.12.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0e6fe449223fa59fbee351db32283838a8fee8059e0028e9e6494a03802b4004"},
{file = "mypy-1.12.1-cp38-cp38-win_amd64.whl", hash = "sha256:dc6e2a2195a290a7fd5bac3e60b586d77fc88e986eba7feced8b778c373f9afe"},
{file = "mypy-1.12.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:de5b2a8988b4e1269a98beaf0e7cc71b510d050dce80c343b53b4955fff45f19"},
{file = "mypy-1.12.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:843826966f1d65925e8b50d2b483065c51fc16dc5d72647e0236aae51dc8d77e"},
{file = "mypy-1.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9fe20f89da41a95e14c34b1ddb09c80262edcc295ad891f22cc4b60013e8f78d"},
{file = "mypy-1.12.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8135ffec02121a75f75dc97c81af7c14aa4ae0dda277132cfcd6abcd21551bfd"},
{file = "mypy-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:a7b76fa83260824300cc4834a3ab93180db19876bce59af921467fd03e692810"},
{file = "mypy-1.12.1-py3-none-any.whl", hash = "sha256:ce561a09e3bb9863ab77edf29ae3a50e65685ad74bba1431278185b7e5d5486e"},
{file = "mypy-1.12.1.tar.gz", hash = "sha256:f5b3936f7a6d0e8280c9bdef94c7ce4847f5cdfc258fbb2c29a8c1711e8bb96d"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
mypy-extensions = ">=1.0.0"
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
typing-extensions = ">=4.6.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
dmypy = ["psutil (>=4.0)"]
install-types = ["pip"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
mypyc = ["setuptools (>=50)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
reports = ["lxml"]
[[package]]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
optional = false
python-versions = ">=3.5"
files = [
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "networkx"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "3.2.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Python package for creating and manipulating graphs and networks"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
{file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
default = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
developer = ["changelist (==0.4)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "numpy"
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
version = "1.26.4"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Fundamental package for array computing in Python"
optional = false
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
python-versions = ">=3.9"
files = [
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
{file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
{file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
{file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
{file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
{file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
{file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
{file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
{file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
{file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
{file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
{file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
{file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
{file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
{file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
{file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
{file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "onnx"
chore(deps): bump onnx from 1.15.0 to 1.16.0 in /machine-learning (#9122) Bumps [onnx](https://github.com/onnx/onnx) from 1.15.0 to 1.16.0. - [Release notes](https://github.com/onnx/onnx/releases) - [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md) - [Commits](https://github.com/onnx/onnx/compare/v1.15.0...v1.16.0) --- updated-dependencies: - dependency-name: onnx dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-04-27 12:50:49 -07:00
version = "1.16.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Open Neural Network Exchange"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
chore(deps): bump onnx from 1.15.0 to 1.16.0 in /machine-learning (#9122) Bumps [onnx](https://github.com/onnx/onnx) from 1.15.0 to 1.16.0. - [Release notes](https://github.com/onnx/onnx/releases) - [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md) - [Commits](https://github.com/onnx/onnx/compare/v1.15.0...v1.16.0) --- updated-dependencies: - dependency-name: onnx dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-04-27 12:50:49 -07:00
{file = "onnx-1.16.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:9eadbdce25b19d6216f426d6d99b8bc877a65ed92cbef9707751c6669190ba4f"},
{file = "onnx-1.16.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:034ae21a2aaa2e9c14119a840d2926d213c27aad29e5e3edaa30145a745048e1"},
{file = "onnx-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec22a43d74eb1f2303373e2fbe7fbcaa45fb225f4eb146edfed1356ada7a9aea"},
{file = "onnx-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:298f28a2b5ac09145fa958513d3d1e6b349ccf86a877dbdcccad57713fe360b3"},
{file = "onnx-1.16.0-cp310-cp310-win32.whl", hash = "sha256:66300197b52beca08bc6262d43c103289c5d45fde43fb51922ed1eb83658cf0c"},
{file = "onnx-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:ae0029f5e47bf70a1a62e7f88c80bca4ef39b844a89910039184221775df5e43"},
{file = "onnx-1.16.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:f51179d4af3372b4f3800c558d204b592c61e4b4a18b8f61e0eea7f46211221a"},
{file = "onnx-1.16.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:5202559070afec5144332db216c20f2fff8323cf7f6512b0ca11b215eacc5bf3"},
{file = "onnx-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77579e7c15b4df39d29465b216639a5f9b74026bdd9e4b6306cd19a32dcfe67c"},
{file = "onnx-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e60ca76ac24b65c25860d0f2d2cdd96d6320d062a01dd8ce87c5743603789b8"},
{file = "onnx-1.16.0-cp311-cp311-win32.whl", hash = "sha256:81b4ee01bc554e8a2b11ac6439882508a5377a1c6b452acd69a1eebb83571117"},
{file = "onnx-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:7449241e70b847b9c3eb8dae622df8c1b456d11032a9d7e26e0ee8a698d5bf86"},
{file = "onnx-1.16.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:03a627488b1a9975d95d6a55582af3e14c7f3bb87444725b999935ddd271d352"},
{file = "onnx-1.16.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:c392faeabd9283ee344ccb4b067d1fea9dfc614fa1f0de7c47589efd79e15e78"},
{file = "onnx-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0efeb46985de08f0efe758cb54ad3457e821a05c2eaf5ba2ccb8cd1602c08084"},
{file = "onnx-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddf14a3d32234f23e44abb73a755cb96a423fac7f004e8f046f36b10214151ee"},
{file = "onnx-1.16.0-cp312-cp312-win32.whl", hash = "sha256:62a2e27ae8ba5fc9b4a2620301446a517b5ffaaf8566611de7a7c2160f5bcf4c"},
{file = "onnx-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:3e0860fea94efde777e81a6f68f65761ed5e5f3adea2e050d7fbe373a9ae05b3"},
{file = "onnx-1.16.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:70a90649318f3470985439ea078277c9fb2a2e6e2fd7c8f3f2b279402ad6c7e6"},
{file = "onnx-1.16.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:71839546b7f93be4fa807995b182ab4b4414c9dbf049fee11eaaced16fcf8df2"},
{file = "onnx-1.16.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7665217c45a61eb44718c8e9349d2ad004efa0cb9fbc4be5c6d5e18b9fe12b52"},
{file = "onnx-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5752bbbd5717304a7643643dba383a2fb31e8eb0682f4e7b7d141206328a73b"},
{file = "onnx-1.16.0-cp38-cp38-win32.whl", hash = "sha256:257858cbcb2055284f09fa2ae2b1cfd64f5850367da388d6e7e7b05920a40c90"},
{file = "onnx-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:209fe84995a28038e29ae8369edd35f33e0ef1ebc3bddbf6584629823469deb1"},
{file = "onnx-1.16.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:8cf3e518b1b1b960be542e7c62bed4e5219e04c85d540817b7027029537dec92"},
{file = "onnx-1.16.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:30f02beaf081c7d9fa3a8c566a912fc4408e28fc33b1452d58f890851691d364"},
{file = "onnx-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fb29a9a692b522deef1f6b8f2145da62c0c43ea1ed5b4c0f66f827fdc28847d"},
{file = "onnx-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7755cbd5f4e47952e37276ea5978a46fc8346684392315902b5ed4a719d87d06"},
{file = "onnx-1.16.0-cp39-cp39-win32.whl", hash = "sha256:7532343dc5b8b5e7c3e3efa441a3100552f7600155c4db9120acd7574f64ffbf"},
{file = "onnx-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:d7886c05aa6d583ec42f6287678923c1e343afc4350e49d5b36a0023772ffa22"},
{file = "onnx-1.16.0.tar.gz", hash = "sha256:237c6987c6c59d9f44b6136f5819af79574f8d96a760a1fa843bede11f3822f7"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
chore(deps): bump onnx from 1.15.0 to 1.16.0 in /machine-learning (#9122) Bumps [onnx](https://github.com/onnx/onnx) from 1.15.0 to 1.16.0. - [Release notes](https://github.com/onnx/onnx/releases) - [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md) - [Commits](https://github.com/onnx/onnx/compare/v1.15.0...v1.16.0) --- updated-dependencies: - dependency-name: onnx dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-04-27 12:50:49 -07:00
numpy = ">=1.20"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
protobuf = ">=3.20.2"
[package.extras]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
reference = ["Pillow", "google-re2"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "onnxruntime"
chore(deps): update machine-learning (#12527)
2024-09-09 17:40:11 -07:00
version = "1.19.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
optional = false
python-versions = "*"
files = [
chore(deps): update machine-learning (#12527)
2024-09-09 17:40:11 -07:00
{file = "onnxruntime-1.19.2-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:84fa57369c06cadd3c2a538ae2a26d76d583e7c34bdecd5769d71ca5c0fc750e"},
{file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdc471a66df0c1cdef774accef69e9f2ca168c851ab5e4f2f3341512c7ef4666"},
{file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e3a4ce906105d99ebbe817f536d50a91ed8a4d1592553f49b3c23c4be2560ae6"},
{file = "onnxruntime-1.19.2-cp310-cp310-win32.whl", hash = "sha256:4b3d723cc154c8ddeb9f6d0a8c0d6243774c6b5930847cc83170bfe4678fafb3"},
{file = "onnxruntime-1.19.2-cp310-cp310-win_amd64.whl", hash = "sha256:17ed7382d2c58d4b7354fb2b301ff30b9bf308a1c7eac9546449cd122d21cae5"},
{file = "onnxruntime-1.19.2-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:d863e8acdc7232d705d49e41087e10b274c42f09e259016a46f32c34e06dc4fd"},
{file = "onnxruntime-1.19.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c1dfe4f660a71b31caa81fc298a25f9612815215a47b286236e61d540350d7b6"},
{file = "onnxruntime-1.19.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a36511dc07c5c964b916697e42e366fa43c48cdb3d3503578d78cef30417cb84"},
{file = "onnxruntime-1.19.2-cp311-cp311-win32.whl", hash = "sha256:50cbb8dc69d6befad4746a69760e5b00cc3ff0a59c6c3fb27f8afa20e2cab7e7"},
{file = "onnxruntime-1.19.2-cp311-cp311-win_amd64.whl", hash = "sha256:1c3e5d415b78337fa0b1b75291e9ea9fb2a4c1f148eb5811e7212fed02cfffa8"},
{file = "onnxruntime-1.19.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:68e7051bef9cfefcbb858d2d2646536829894d72a4130c24019219442b1dd2ed"},
{file = "onnxruntime-1.19.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d2d366fbcc205ce68a8a3bde2185fd15c604d9645888703785b61ef174265168"},
{file = "onnxruntime-1.19.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:477b93df4db467e9cbf34051662a4b27c18e131fa1836e05974eae0d6e4cf29b"},
{file = "onnxruntime-1.19.2-cp312-cp312-win32.whl", hash = "sha256:9a174073dc5608fad05f7cf7f320b52e8035e73d80b0a23c80f840e5a97c0147"},
{file = "onnxruntime-1.19.2-cp312-cp312-win_amd64.whl", hash = "sha256:190103273ea4507638ffc31d66a980594b237874b65379e273125150eb044857"},
{file = "onnxruntime-1.19.2-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:636bc1d4cc051d40bc52e1f9da87fbb9c57d9d47164695dfb1c41646ea51ea66"},
{file = "onnxruntime-1.19.2-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5bd8b875757ea941cbcfe01582970cc299893d1b65bd56731e326a8333f638a3"},
{file = "onnxruntime-1.19.2-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b2046fc9560f97947bbc1acbe4c6d48585ef0f12742744307d3364b131ac5778"},
{file = "onnxruntime-1.19.2-cp38-cp38-win32.whl", hash = "sha256:31c12840b1cde4ac1f7d27d540c44e13e34f2345cf3642762d2a3333621abb6a"},
{file = "onnxruntime-1.19.2-cp38-cp38-win_amd64.whl", hash = "sha256:016229660adea180e9a32ce218b95f8f84860a200f0f13b50070d7d90e92956c"},
{file = "onnxruntime-1.19.2-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:006c8d326835c017a9e9f74c9c77ebb570a71174a1e89fe078b29a557d9c3848"},
{file = "onnxruntime-1.19.2-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df2a94179a42d530b936f154615b54748239c2908ee44f0d722cb4df10670f68"},
{file = "onnxruntime-1.19.2-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fae4b4de45894b9ce7ae418c5484cbf0341db6813effec01bb2216091c52f7fb"},
{file = "onnxruntime-1.19.2-cp39-cp39-win32.whl", hash = "sha256:dc5430f473e8706fff837ae01323be9dcfddd3ea471c900a91fa7c9b807ec5d3"},
{file = "onnxruntime-1.19.2-cp39-cp39-win_amd64.whl", hash = "sha256:38475e29a95c5f6c62c2c603d69fc7d4c6ccbf4df602bd567b86ae1138881c49"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
coloredlogs = "*"
flatbuffers = "*"
fix(deps): update machine-learning (#11921)
2024-08-24 10:50:05 -07:00
numpy = ">=1.21.6"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
packaging = "*"
protobuf = "*"
sympy = "*"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
[[package]]
name = "onnxruntime-gpu"
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
version = "1.18.1"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
optional = false
python-versions = "*"
files = [
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
{file = "onnxruntime_gpu-1.18.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4e9a52f5d43a84fe29e135da6bf10daa18836c81bed9060a5924efd6afc0d259"},
{file = "onnxruntime_gpu-1.18.1-cp310-cp310-win_amd64.whl", hash = "sha256:e7c1c665e8a11a5cf15369948b04288dc0a6812ad2e6beaff93a3d157c864d9a"},
{file = "onnxruntime_gpu-1.18.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1334f802cb1e4e2eb6ceebc4ef71ba44f3ef444d34216baafb940368a7a5d2f5"},
{file = "onnxruntime_gpu-1.18.1-cp311-cp311-win_amd64.whl", hash = "sha256:0ffcc711e89b80c935d5172544f8a605b11525fc1e6f0e78ee79e2c28956e2d9"},
{file = "onnxruntime_gpu-1.18.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bbb1a6c986b2392eebaebc43e198a1614e3f7d2c191725002dbfa0dceb24454b"},
{file = "onnxruntime_gpu-1.18.1-cp312-cp312-win_amd64.whl", hash = "sha256:bee352929e6eec2ff4e11e323a025ed8bd5eac24795005bc502ac740971fa7bd"},
{file = "onnxruntime_gpu-1.18.1-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:76d307a849a863d0457869febe4b2fd2fc07c7f26385c7339d17066312fa6be0"},
{file = "onnxruntime_gpu-1.18.1-cp38-cp38-win_amd64.whl", hash = "sha256:b7498d6c64a03558308ce6d7d14dab306ea90d1204b563890c4d2d26c1b520f0"},
{file = "onnxruntime_gpu-1.18.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8a1d8113cb4b8a51b195fae91cfeb6849728462a4b46aaf51b6764c44e54f81f"},
{file = "onnxruntime_gpu-1.18.1-cp39-cp39-win_amd64.whl", hash = "sha256:fc1d2544a39f5db64c5b8a0c24d0b934d7d64682e6d70763eb2cc726b1fd6c3f"},
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
]
[package.dependencies]
coloredlogs = "*"
flatbuffers = "*"
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
numpy = ">=1.21.6,<2.0"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
packaging = "*"
protobuf = "*"
sympy = "*"
feat(machine-learning): support cuda 12 (#7569) * feat: support cuda12 * fix: group optional * move to cuda 12 * pr feedback
2024-03-02 21:36:16 -07:00
[package.source]
type = "legacy"
url = "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple"
reference = "cuda12"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
[[package]]
name = "onnxruntime-openvino"
fix(ml): pin onnxruntime-openvino (#13290)
2024-10-08 15:03:28 -07:00
version = "1.18.0"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
optional = false
python-versions = "*"
files = [
fix(ml): pin onnxruntime-openvino (#13290)
2024-10-08 15:03:28 -07:00
{file = "onnxruntime_openvino-1.18.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:565b874d21bcd48126da7d62f57db019f5ec0e1f82ae9b0740afa2ad91f8d331"},
{file = "onnxruntime_openvino-1.18.0-cp310-cp310-win_amd64.whl", hash = "sha256:7f1931060f710a6c8e32121bb73044c4772ef5925802fc8776d3fe1e87ab3f75"},
{file = "onnxruntime_openvino-1.18.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eb1723d386f70a8e26398d983ebe35d2c25ba56e9cdb382670ebbf1f5139f8ba"},
{file = "onnxruntime_openvino-1.18.0-cp311-cp311-win_amd64.whl", hash = "sha256:874a1e263dd86674593e5a879257650b06a8609c4d5768c3d8ed8dc4ae874b9c"},
{file = "onnxruntime_openvino-1.18.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:597eb18f3de7ead69b08a242d74c4573b28bbfba40ca2a1a40f75bf7a834808e"},
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
]
[package.dependencies]
coloredlogs = "*"
flatbuffers = "*"
fix(ml): pin onnxruntime-openvino (#13290)
2024-10-08 15:03:28 -07:00
numpy = ">=1.26.4"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
packaging = "*"
protobuf = "*"
sympy = "*"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "opencv-python-headless"
fix(deps): update machine-learning (#10610)
2024-06-25 09:03:27 -07:00
version = "4.10.0.84"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Wrapper package for OpenCV python bindings."
optional = false
python-versions = ">=3.6"
files = [
fix(deps): update machine-learning (#10610)
2024-06-25 09:03:27 -07:00
{file = "opencv-python-headless-4.10.0.84.tar.gz", hash = "sha256:f2017c6101d7c2ef8d7bc3b414c37ff7f54d64413a1847d89970b6b7069b4e1a"},
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:a4f4bcb07d8f8a7704d9c8564c224c8b064c63f430e95b61ac0bffaa374d330e"},
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-macosx_12_0_x86_64.whl", hash = "sha256:5ae454ebac0eb0a0b932e3406370aaf4212e6a3fdb5038cc86c7aea15a6851da"},
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46071015ff9ab40fccd8a163da0ee14ce9846349f06c6c8c0f2870856ffa45db"},
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:377d08a7e48a1405b5e84afcbe4798464ce7ee17081c1c23619c8b398ff18295"},
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:9092404b65458ed87ce932f613ffbb1106ed2c843577501e5768912360fc50ec"},
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:afcf28bd1209dd58810d33defb622b325d3cbe49dcd7a43a902982c33e5fad05"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
numpy = [
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
chore(deps): update machine-learning (#11739) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-08-13 14:41:37 -07:00
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
[[package]]
name = "orjson"
fix(deps): update machine-learning (#11921)
2024-08-24 10:50:05 -07:00
version = "3.10.7"
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
files = [
fix(deps): update machine-learning (#11921)
2024-08-24 10:50:05 -07:00
{file = "orjson-3.10.7-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:74f4544f5a6405b90da8ea724d15ac9c36da4d72a738c64685003337401f5c12"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34a566f22c28222b08875b18b0dfbf8a947e69df21a9ed5c51a6bf91cfb944ac"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bf6ba8ebc8ef5792e2337fb0419f8009729335bb400ece005606336b7fd7bab7"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac7cf6222b29fbda9e3a472b41e6a5538b48f2c8f99261eecd60aafbdb60690c"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de817e2f5fc75a9e7dd350c4b0f54617b280e26d1631811a43e7e968fa71e3e9"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:348bdd16b32556cf8d7257b17cf2bdb7ab7976af4af41ebe79f9796c218f7e91"},
{file = "orjson-3.10.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:479fd0844ddc3ca77e0fd99644c7fe2de8e8be1efcd57705b5c92e5186e8a250"},
{file = "orjson-3.10.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:fdf5197a21dd660cf19dfd2a3ce79574588f8f5e2dbf21bda9ee2d2b46924d84"},
{file = "orjson-3.10.7-cp310-none-win32.whl", hash = "sha256:d374d36726746c81a49f3ff8daa2898dccab6596864ebe43d50733275c629175"},
{file = "orjson-3.10.7-cp310-none-win_amd64.whl", hash = "sha256:cb61938aec8b0ffb6eef484d480188a1777e67b05d58e41b435c74b9d84e0b9c"},
{file = "orjson-3.10.7-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:7db8539039698ddfb9a524b4dd19508256107568cdad24f3682d5773e60504a2"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:480f455222cb7a1dea35c57a67578848537d2602b46c464472c995297117fa09"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8a9c9b168b3a19e37fe2778c0003359f07822c90fdff8f98d9d2a91b3144d8e0"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8de062de550f63185e4c1c54151bdddfc5625e37daf0aa1e75d2a1293e3b7d9a"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6b0dd04483499d1de9c8f6203f8975caf17a6000b9c0c54630cef02e44ee624e"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b58d3795dafa334fc8fd46f7c5dc013e6ad06fd5b9a4cc98cb1456e7d3558bd6"},
{file = "orjson-3.10.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:33cfb96c24034a878d83d1a9415799a73dc77480e6c40417e5dda0710d559ee6"},
{file = "orjson-3.10.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e724cebe1fadc2b23c6f7415bad5ee6239e00a69f30ee423f319c6af70e2a5c0"},
{file = "orjson-3.10.7-cp311-none-win32.whl", hash = "sha256:82763b46053727a7168d29c772ed5c870fdae2f61aa8a25994c7984a19b1021f"},
{file = "orjson-3.10.7-cp311-none-win_amd64.whl", hash = "sha256:eb8d384a24778abf29afb8e41d68fdd9a156cf6e5390c04cc07bbc24b89e98b5"},
{file = "orjson-3.10.7-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:44a96f2d4c3af51bfac6bc4ef7b182aa33f2f054fd7f34cc0ee9a320d051d41f"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76ac14cd57df0572453543f8f2575e2d01ae9e790c21f57627803f5e79b0d3c3"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bdbb61dcc365dd9be94e8f7df91975edc9364d6a78c8f7adb69c1cdff318ec93"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b48b3db6bb6e0a08fa8c83b47bc169623f801e5cc4f24442ab2b6617da3b5313"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:23820a1563a1d386414fef15c249040042b8e5d07b40ab3fe3efbfbbcbcb8864"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0c6a008e91d10a2564edbb6ee5069a9e66df3fbe11c9a005cb411f441fd2c09"},
{file = "orjson-3.10.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d352ee8ac1926d6193f602cbe36b1643bbd1bbcb25e3c1a657a4390f3000c9a5"},
{file = "orjson-3.10.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d2d9f990623f15c0ae7ac608103c33dfe1486d2ed974ac3f40b693bad1a22a7b"},
{file = "orjson-3.10.7-cp312-none-win32.whl", hash = "sha256:7c4c17f8157bd520cdb7195f75ddbd31671997cbe10aee559c2d613592e7d7eb"},
{file = "orjson-3.10.7-cp312-none-win_amd64.whl", hash = "sha256:1d9c0e733e02ada3ed6098a10a8ee0052dd55774de3d9110d29868d24b17faa1"},
{file = "orjson-3.10.7-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:77d325ed866876c0fa6492598ec01fe30e803272a6e8b10e992288b009cbe149"},
{file = "orjson-3.10.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ea2c232deedcb605e853ae1db2cc94f7390ac776743b699b50b071b02bea6fe"},
{file = "orjson-3.10.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3dcfbede6737fdbef3ce9c37af3fb6142e8e1ebc10336daa05872bfb1d87839c"},
{file = "orjson-3.10.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:11748c135f281203f4ee695b7f80bb1358a82a63905f9f0b794769483ea854ad"},
{file = "orjson-3.10.7-cp313-none-win32.whl", hash = "sha256:a7e19150d215c7a13f39eb787d84db274298d3f83d85463e61d277bbd7f401d2"},
{file = "orjson-3.10.7-cp313-none-win_amd64.whl", hash = "sha256:eef44224729e9525d5261cc8d28d6b11cafc90e6bd0be2157bde69a52ec83024"},
{file = "orjson-3.10.7-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6ea2b2258eff652c82652d5e0f02bd5e0463a6a52abb78e49ac288827aaa1469"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:430ee4d85841e1483d487e7b81401785a5dfd69db5de01314538f31f8fbf7ee1"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4b6146e439af4c2472c56f8540d799a67a81226e11992008cb47e1267a9b3225"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:084e537806b458911137f76097e53ce7bf5806dda33ddf6aaa66a028f8d43a23"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4829cf2195838e3f93b70fd3b4292156fc5e097aac3739859ac0dcc722b27ac0"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1193b2416cbad1a769f868b1749535d5da47626ac29445803dae7cc64b3f5c98"},
{file = "orjson-3.10.7-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:4e6c3da13e5a57e4b3dca2de059f243ebec705857522f188f0180ae88badd354"},
{file = "orjson-3.10.7-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c31008598424dfbe52ce8c5b47e0752dca918a4fdc4a2a32004efd9fab41d866"},
{file = "orjson-3.10.7-cp38-none-win32.whl", hash = "sha256:7122a99831f9e7fe977dc45784d3b2edc821c172d545e6420c375e5a935f5a1c"},
{file = "orjson-3.10.7-cp38-none-win_amd64.whl", hash = "sha256:a763bc0e58504cc803739e7df040685816145a6f3c8a589787084b54ebc9f16e"},
{file = "orjson-3.10.7-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e76be12658a6fa376fcd331b1ea4e58f5a06fd0220653450f0d415b8fd0fbe20"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed350d6978d28b92939bfeb1a0570c523f6170efc3f0a0ef1f1df287cd4f4960"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:144888c76f8520e39bfa121b31fd637e18d4cc2f115727865fdf9fa325b10412"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09b2d92fd95ad2402188cf51573acde57eb269eddabaa60f69ea0d733e789fe9"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5b24a579123fa884f3a3caadaed7b75eb5715ee2b17ab5c66ac97d29b18fe57f"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e72591bcfe7512353bd609875ab38050efe3d55e18934e2f18950c108334b4ff"},
{file = "orjson-3.10.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f4db56635b58cd1a200b0a23744ff44206ee6aa428185e2b6c4a65b3197abdcd"},
{file = "orjson-3.10.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:0fa5886854673222618638c6df7718ea7fe2f3f2384c452c9ccedc70b4a510a5"},
{file = "orjson-3.10.7-cp39-none-win32.whl", hash = "sha256:8272527d08450ab16eb405f47e0f4ef0e5ff5981c3d82afe0efd25dcbef2bcd2"},
{file = "orjson-3.10.7-cp39-none-win_amd64.whl", hash = "sha256:974683d4618c0c7dbf4f69c95a979734bf183d0658611760017f6e70a145af58"},
{file = "orjson-3.10.7.tar.gz", hash = "sha256:75ef0640403f945f3a1f9f6400686560dbfb0fb5b16589ad62cd477043c4eee3"},
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "packaging"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "23.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.7"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
{file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "pathspec"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "0.12.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Utility library for gitignore style pattern matching of file paths."
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
{file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "pillow"
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
version = "10.4.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Python Imaging Library (Fork)"
optional = false
fix(deps): update dependency pillow to v10 [security] (#5944)
2023-12-23 07:10:05 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
{file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"},
{file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"},
{file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"},
{file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"},
{file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"},
{file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"},
{file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"},
{file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"},
{file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"},
{file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"},
{file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"},
{file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"},
{file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"},
{file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"},
{file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"},
{file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"},
{file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"},
{file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"},
{file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"},
{file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"},
{file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"},
{file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"},
{file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"},
{file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"},
{file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"},
{file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"},
{file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"},
{file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"},
{file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"},
{file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"},
{file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"},
{file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"},
{file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"},
{file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"},
{file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"},
{file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"},
{file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"},
{file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"},
{file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"},
{file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"},
{file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
{file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
fix(deps): update machine-learning (#10740) * fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-07-21 16:30:24 -07:00
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
chore(deps): update machine-learning (#6302) * chore(deps): update machine-learning * fix typing, use new lifespan syntax * wrap in try / finally * move log --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-01-12 22:00:09 -07:00
fpx = ["olefile"]
mic = ["olefile"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
chore(deps): update machine-learning (#6302) * chore(deps): update machine-learning * fix typing, use new lifespan syntax * wrap in try / finally * move log --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-01-12 22:00:09 -07:00
typing = ["typing-extensions"]
xmp = ["defusedxml"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "platformdirs"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "4.1.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "platformdirs-4.1.0-py3-none-any.whl", hash = "sha256:11c8f37bcca40db96d8144522d925583bdb7a31f7b0e37e3ed4318400a8e2380"},
{file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "pluggy"
chore(deps): update machine-learning (#9292)
2024-05-06 19:21:24 -07:00
version = "1.5.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "plugin and hook calling mechanisms for python"
optional = false
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
chore(deps): update machine-learning (#9292)
2024-05-06 19:21:24 -07:00
{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "prettytable"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "3.9.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
optional = false
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "prettytable-3.9.0-py3-none-any.whl", hash = "sha256:a71292ab7769a5de274b146b276ce938786f56c31cf7cea88b6f3775d82fe8c8"},
{file = "prettytable-3.9.0.tar.gz", hash = "sha256:f4ed94803c23073a90620b201965e5dc0bccf1760b7a7eaf3158cab8aaffdf34"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
wcwidth = "*"
[package.extras]
tests = ["pytest", "pytest-cov", "pytest-lazy-fixture"]
[[package]]
name = "protobuf"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
version = "4.25.2"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
description = ""
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
{file = "protobuf-4.25.2-cp310-abi3-win32.whl", hash = "sha256:b50c949608682b12efb0b2717f53256f03636af5f60ac0c1d900df6213910fd6"},
{file = "protobuf-4.25.2-cp310-abi3-win_amd64.whl", hash = "sha256:8f62574857ee1de9f770baf04dde4165e30b15ad97ba03ceac65f760ff018ac9"},
{file = "protobuf-4.25.2-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:2db9f8fa64fbdcdc93767d3cf81e0f2aef176284071507e3ede160811502fd3d"},
{file = "protobuf-4.25.2-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:10894a2885b7175d3984f2be8d9850712c57d5e7587a2410720af8be56cdaf62"},
{file = "protobuf-4.25.2-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:fc381d1dd0516343f1440019cedf08a7405f791cd49eef4ae1ea06520bc1c020"},
{file = "protobuf-4.25.2-cp38-cp38-win32.whl", hash = "sha256:33a1aeef4b1927431d1be780e87b641e322b88d654203a9e9d93f218ee359e61"},
{file = "protobuf-4.25.2-cp38-cp38-win_amd64.whl", hash = "sha256:47f3de503fe7c1245f6f03bea7e8d3ec11c6c4a2ea9ef910e3221c8a15516d62"},
{file = "protobuf-4.25.2-cp39-cp39-win32.whl", hash = "sha256:5e5c933b4c30a988b52e0b7c02641760a5ba046edc5e43d3b94a74c9fc57c1b3"},
{file = "protobuf-4.25.2-cp39-cp39-win_amd64.whl", hash = "sha256:d66a769b8d687df9024f2985d5137a337f957a0916cf5464d1513eee96a63ff0"},
{file = "protobuf-4.25.2-py3-none-any.whl", hash = "sha256:a8b7a98d4ce823303145bf3c1a8bdb0f2f4642a414b196f04ad9853ed0c8f830"},
{file = "protobuf-4.25.2.tar.gz", hash = "sha256:fe599e175cb347efc8ee524bcd4b902d11f7262c0e569ececcb89995c15f0a5e"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[[package]]
name = "psutil"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "5.9.7"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "Cross-platform lib for process and system monitoring in Python."
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "psutil-5.9.7-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:0bd41bf2d1463dfa535942b2a8f0e958acf6607ac0be52265ab31f7923bcd5e6"},
{file = "psutil-5.9.7-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:5794944462509e49d4d458f4dbfb92c47539e7d8d15c796f141f474010084056"},
{file = "psutil-5.9.7-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:fe361f743cb3389b8efda21980d93eb55c1f1e3898269bc9a2a1d0bb7b1f6508"},
{file = "psutil-5.9.7-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:e469990e28f1ad738f65a42dcfc17adaed9d0f325d55047593cb9033a0ab63df"},
{file = "psutil-5.9.7-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:3c4747a3e2ead1589e647e64aad601981f01b68f9398ddf94d01e3dc0d1e57c7"},
{file = "psutil-5.9.7-cp27-none-win32.whl", hash = "sha256:1d4bc4a0148fdd7fd8f38e0498639ae128e64538faa507df25a20f8f7fb2341c"},
{file = "psutil-5.9.7-cp27-none-win_amd64.whl", hash = "sha256:4c03362e280d06bbbfcd52f29acd79c733e0af33d707c54255d21029b8b32ba6"},
{file = "psutil-5.9.7-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ea36cc62e69a13ec52b2f625c27527f6e4479bca2b340b7a452af55b34fcbe2e"},
{file = "psutil-5.9.7-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1132704b876e58d277168cd729d64750633d5ff0183acf5b3c986b8466cd0284"},
{file = "psutil-5.9.7-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe8b7f07948f1304497ce4f4684881250cd859b16d06a1dc4d7941eeb6233bfe"},
{file = "psutil-5.9.7-cp36-cp36m-win32.whl", hash = "sha256:b27f8fdb190c8c03914f908a4555159327d7481dac2f01008d483137ef3311a9"},
{file = "psutil-5.9.7-cp36-cp36m-win_amd64.whl", hash = "sha256:44969859757f4d8f2a9bd5b76eba8c3099a2c8cf3992ff62144061e39ba8568e"},
{file = "psutil-5.9.7-cp37-abi3-win32.whl", hash = "sha256:c727ca5a9b2dd5193b8644b9f0c883d54f1248310023b5ad3e92036c5e2ada68"},
{file = "psutil-5.9.7-cp37-abi3-win_amd64.whl", hash = "sha256:f37f87e4d73b79e6c5e749440c3113b81d1ee7d26f21c19c47371ddea834f414"},
{file = "psutil-5.9.7-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:032f4f2c909818c86cea4fe2cc407f1c0f0cde8e6c6d702b28b8ce0c0d143340"},
{file = "psutil-5.9.7.tar.gz", hash = "sha256:3f02134e82cfb5d089fddf20bb2e03fd5cd52395321d1c8458a9e58500ff417c"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.extras]
test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
[[package]]
name = "pycparser"
version = "2.21"
description = "C parser in Python"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
{file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "pydantic"
chore(ml): update pydantic (#13230) * update pydantic * fix typing * remove unused import * remove unused schema
2024-10-13 15:00:21 -07:00
version = "2.9.2"
description = "Data validation using Python type hints"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
optional = false
chore(ml): update pydantic (#13230) * update pydantic * fix typing * remove unused import * remove unused schema
2024-10-13 15:00:21 -07:00
python-versions = ">=3.8"
files = [
{file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
{file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
]
[package.dependencies]
annotated-types = ">=0.6.0"
pydantic-core = "2.23.4"
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.23.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f"},
{file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3"},
{file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071"},
{file = "pydantic_core-2.23.4-cp310-none-win32.whl", hash = "sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119"},
{file = "pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f"},
{file = "pydantic_core-2.23.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8"},
{file = "pydantic_core-2.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b"},
{file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0"},
{file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64"},
{file = "pydantic_core-2.23.4-cp311-none-win32.whl", hash = "sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f"},
{file = "pydantic_core-2.23.4-cp311-none-win_amd64.whl", hash = "sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3"},
{file = "pydantic_core-2.23.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231"},
{file = "pydantic_core-2.23.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126"},
{file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e"},
{file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24"},
{file = "pydantic_core-2.23.4-cp312-none-win32.whl", hash = "sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84"},
{file = "pydantic_core-2.23.4-cp312-none-win_amd64.whl", hash = "sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9"},
{file = "pydantic_core-2.23.4-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc"},
{file = "pydantic_core-2.23.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327"},
{file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6"},
{file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f"},
{file = "pydantic_core-2.23.4-cp313-none-win32.whl", hash = "sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769"},
{file = "pydantic_core-2.23.4-cp313-none-win_amd64.whl", hash = "sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5"},
{file = "pydantic_core-2.23.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555"},
{file = "pydantic_core-2.23.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12"},
{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2"},
{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb"},
{file = "pydantic_core-2.23.4-cp38-none-win32.whl", hash = "sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6"},
{file = "pydantic_core-2.23.4-cp38-none-win_amd64.whl", hash = "sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556"},
{file = "pydantic_core-2.23.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a"},
{file = "pydantic_core-2.23.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55"},
{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040"},
{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605"},
{file = "pydantic_core-2.23.4-cp39-none-win32.whl", hash = "sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6"},
{file = "pydantic_core-2.23.4-cp39-none-win_amd64.whl", hash = "sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
{file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pydantic-settings"
fix(deps): update dependency pydantic-settings to v2.6.0 (#13671)
2024-10-22 06:42:23 -07:00
version = "2.6.0"
chore(ml): update pydantic (#13230) * update pydantic * fix typing * remove unused import * remove unused schema
2024-10-13 15:00:21 -07:00
description = "Settings management using Pydantic"
optional = false
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update dependency pydantic-settings to v2.6.0 (#13671)
2024-10-22 06:42:23 -07:00
{file = "pydantic_settings-2.6.0-py3-none-any.whl", hash = "sha256:4a819166f119b74d7f8c765196b165f95cc7487ce58ea27dec8a5a26be0970e0"},
{file = "pydantic_settings-2.6.0.tar.gz", hash = "sha256:44a1804abffac9e6a30372bb45f6cafab945ef5af25e66b1c634c01dd39e0188"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
chore(ml): update pydantic (#13230) * update pydantic * fix typing * remove unused import * remove unused schema
2024-10-13 15:00:21 -07:00
pydantic = ">=2.7.0"
python-dotenv = ">=0.21.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
chore(ml): update pydantic (#13230) * update pydantic * fix typing * remove unused import * remove unused schema
2024-10-13 15:00:21 -07:00
azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
toml = ["tomli (>=2.0.1)"]
yaml = ["pyyaml (>=6.0.1)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
[[package]]
name = "pygments"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "2.17.2"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
description = "Pygments is a syntax highlighting package written in Python."
optional = false
python-versions = ">=3.7"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
{file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
]
[package.extras]
plugins = ["importlib-metadata"]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
windows-terminal = ["colorama (>=0.4.6)"]
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "pyparsing"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "3.1.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "pyparsing module - Classes and methods to define and execute parsing grammars"
optional = false
python-versions = ">=3.6.8"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
{file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
diagrams = ["jinja2", "railroad-diagrams"]
[[package]]
name = "pyreadline3"
version = "3.4.1"
description = "A python implementation of GNU readline."
optional = false
python-versions = "*"
files = [
{file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"},
{file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
]
[[package]]
name = "pytest"
fix(deps): update machine-learning (#12740)
2024-09-16 18:09:24 -07:00
version = "8.3.3"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "pytest: simple powerful testing with Python"
optional = false
chore(deps): update machine-learning (major) (#6934) * chore(deps): update machine-learning * formatting --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-02-12 20:29:15 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update machine-learning (#12740)
2024-09-16 18:09:24 -07:00
{file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
{file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
renovate: use in-range-only strategy for python (#5937)
2023-12-23 07:04:36 -07:00
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
iniconfig = "*"
packaging = "*"
fix(deps): update machine-learning (#11320)
2024-08-03 06:24:09 -07:00
pluggy = ">=1.5,<2"
chore(deps): update machine-learning (#7890)
2024-03-15 14:19:28 -07:00
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
chore(deps): update machine-learning (#9292)
2024-05-06 19:21:24 -07:00
dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[[package]]
name = "pytest-asyncio"
chore(deps): update machine-learning (#12062)
2024-08-28 15:00:47 -07:00
version = "0.24.0"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
description = "Pytest support for asyncio"
optional = false
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
python-versions = ">=3.8"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
files = [
chore(deps): update machine-learning (#12062)
2024-08-28 15:00:47 -07:00
{file = "pytest_asyncio-0.24.0-py3-none-any.whl", hash = "sha256:a811296ed596b69bf0b6f3dc40f83bcaf341b155a269052d82efa2b25ac7037b"},
{file = "pytest_asyncio-0.24.0.tar.gz", hash = "sha256:d081d828e576d85f875399194281e92bf8a68d60d72d1a2faf2feddb6c46b276"},
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
]
[package.dependencies]
chore(deps): update machine-learning (#12062)
2024-08-28 15:00:47 -07:00
pytest = ">=8.2,<9"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[[package]]
name = "pytest-cov"
fix(deps): update machine-learning (major) (#11928)
2024-08-28 14:59:57 -07:00
version = "5.0.0"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
description = "Pytest plugin for measuring coverage."
optional = false
fix(deps): update machine-learning (major) (#11928)
2024-08-28 14:59:57 -07:00
python-versions = ">=3.8"
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
files = [
fix(deps): update machine-learning (major) (#11928)
2024-08-28 14:59:57 -07:00
{file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
{file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
]
[package.dependencies]
coverage = {version = ">=5.2.1", extras = ["toml"]}
pytest = ">=4.6"
[package.extras]
fix(deps): update machine-learning (major) (#11928)
2024-08-28 14:59:57 -07:00
testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
[[package]]
name = "pytest-mock"
fix(deps): update machine-learning (#8280) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-30 23:05:18 -07:00
version = "3.14.0"
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
description = "Thin-wrapper around the mock package for easier use with pytest"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
files = [
fix(deps): update machine-learning (#8280) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-30 23:05:18 -07:00
{file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
{file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
]
[package.dependencies]
fix(deps): update machine-learning (#8280) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-30 23:05:18 -07:00
pytest = ">=6.2.5"
refactor(ml): model downloading (#3545) * download facial recognition models * download hf models * simplified logic * updated `predict` for facial recognition * ensure download method is called * fixed repo_id for clip * fixed download destination * use st's own `snapshot_download` * conditional download * fixed predict method * check if loaded * minor fixes * updated mypy overrides * added pytest-mock * updated tests * updated lock
2023-08-05 19:45:13 -07:00
[package.extras]
dev = ["pre-commit", "pytest-asyncio", "tox"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
]
[package.dependencies]
six = ">=1.5"
[[package]]
name = "python-dotenv"
version = "1.0.0"
description = "Read key-value pairs from a .env file and set them as environment variables"
optional = false
python-versions = ">=3.8"
files = [
{file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
{file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
]
[package.extras]
cli = ["click (>=5.0)"]
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
[[package]]
name = "python-multipart"
fix(deps): update machine-learning (#13270)
2024-10-07 19:11:57 -07:00
version = "0.0.12"
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
description = "A streaming multipart parser for Python"
optional = false
fix(deps): update dependency python-multipart to v0.0.7 [security] (#7054)
2024-02-12 11:32:12 -07:00
python-versions = ">=3.8"
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
files = [
fix(deps): update machine-learning (#13270)
2024-10-07 19:11:57 -07:00
{file = "python_multipart-0.0.12-py3-none-any.whl", hash = "sha256:43dcf96cf65888a9cd3423544dd0d75ac10f7aa0c3c28a175bbcd00c9ce1aebf"},
{file = "python_multipart-0.0.12.tar.gz", hash = "sha256:045e1f98d719c1ce085ed7f7e1ef9d8ccc8c02ba02b5566d5f7521410ced58cb"},
feat(ml)!: customizable ML settings (#3891) * consolidated endpoints, added live configuration * added ml settings to server * added settings dashboard * updated deps, fixed typos * simplified modelconfig updated tests * Added ml setting accordion for admin page updated tests * merge `clipText` and `clipVision` * added face distance setting clarified setting * add clip mode in request, dropdown for face models * polished ml settings updated descriptions * update clip field on error * removed unused import * add description for image classification threshold * pin safetensors for arm wheel updated poetry lock * moved dto * set model type only in ml repository * revert form-data package install use fetch instead of axios * added slotted description with link updated facial recognition description clarified effect of disabling tasks * validation before model load * removed unnecessary getconfig call * added migration * updated api updated api updated api --------- Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2023-08-29 06:58:00 -07:00
]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "pywin32"
version = "306"
description = "Python for Window Extensions"
optional = false
python-versions = "*"
files = [
{file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"},
{file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"},
{file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"},
{file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"},
{file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"},
{file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"},
{file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"},
{file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"},
{file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"},
{file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"},
{file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"},
{file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"},
{file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"},
{file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"},
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "pyyaml"
moved deps (#3379)
2023-07-22 13:04:52 -07:00
version = "6.0.1"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.6"
files = [
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
{file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
{file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
fix(deps): update machine-learning (#7634) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-03-05 22:24:33 -07:00
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd"},
{file = "PyYAML-6.0.1-cp36-cp36m-win32.whl", hash = "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585"},
{file = "PyYAML-6.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa"},
{file = "PyYAML-6.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3"},
{file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27"},
{file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3"},
{file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c"},
{file = "PyYAML-6.0.1-cp37-cp37m-win32.whl", hash = "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba"},
{file = "PyYAML-6.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867"},
{file = "PyYAML-6.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
{file = "PyYAML-6.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "pyzmq"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "25.1.2"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "Python bindings for 0MQ"
optional = false
python-versions = ">=3.6"
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "pyzmq-25.1.2-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:e624c789359f1a16f83f35e2c705d07663ff2b4d4479bad35621178d8f0f6ea4"},
{file = "pyzmq-25.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:49151b0efece79f6a79d41a461d78535356136ee70084a1c22532fc6383f4ad0"},
{file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9a5f194cf730f2b24d6af1f833c14c10f41023da46a7f736f48b6d35061e76e"},
{file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:faf79a302f834d9e8304fafdc11d0d042266667ac45209afa57e5efc998e3872"},
{file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f51a7b4ead28d3fca8dda53216314a553b0f7a91ee8fc46a72b402a78c3e43d"},
{file = "pyzmq-25.1.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:0ddd6d71d4ef17ba5a87becf7ddf01b371eaba553c603477679ae817a8d84d75"},
{file = "pyzmq-25.1.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:246747b88917e4867e2367b005fc8eefbb4a54b7db363d6c92f89d69abfff4b6"},
{file = "pyzmq-25.1.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:00c48ae2fd81e2a50c3485de1b9d5c7c57cd85dc8ec55683eac16846e57ac979"},
{file = "pyzmq-25.1.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5a68d491fc20762b630e5db2191dd07ff89834086740f70e978bb2ef2668be08"},
{file = "pyzmq-25.1.2-cp310-cp310-win32.whl", hash = "sha256:09dfe949e83087da88c4a76767df04b22304a682d6154de2c572625c62ad6886"},
{file = "pyzmq-25.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:fa99973d2ed20417744fca0073390ad65ce225b546febb0580358e36aa90dba6"},
{file = "pyzmq-25.1.2-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:82544e0e2d0c1811482d37eef297020a040c32e0687c1f6fc23a75b75db8062c"},
{file = "pyzmq-25.1.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:01171fc48542348cd1a360a4b6c3e7d8f46cdcf53a8d40f84db6707a6768acc1"},
{file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc69c96735ab501419c432110016329bf0dea8898ce16fab97c6d9106dc0b348"},
{file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3e124e6b1dd3dfbeb695435dff0e383256655bb18082e094a8dd1f6293114642"},
{file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7598d2ba821caa37a0f9d54c25164a4fa351ce019d64d0b44b45540950458840"},
{file = "pyzmq-25.1.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:d1299d7e964c13607efd148ca1f07dcbf27c3ab9e125d1d0ae1d580a1682399d"},
{file = "pyzmq-25.1.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4e6f689880d5ad87918430957297c975203a082d9a036cc426648fcbedae769b"},
{file = "pyzmq-25.1.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cc69949484171cc961e6ecd4a8911b9ce7a0d1f738fcae717177c231bf77437b"},
{file = "pyzmq-25.1.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9880078f683466b7f567b8624bfc16cad65077be046b6e8abb53bed4eeb82dd3"},
{file = "pyzmq-25.1.2-cp311-cp311-win32.whl", hash = "sha256:4e5837af3e5aaa99a091302df5ee001149baff06ad22b722d34e30df5f0d9097"},
{file = "pyzmq-25.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:25c2dbb97d38b5ac9fd15586e048ec5eb1e38f3d47fe7d92167b0c77bb3584e9"},
{file = "pyzmq-25.1.2-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:11e70516688190e9c2db14fcf93c04192b02d457b582a1f6190b154691b4c93a"},
{file = "pyzmq-25.1.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:313c3794d650d1fccaaab2df942af9f2c01d6217c846177cfcbc693c7410839e"},
{file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b3cbba2f47062b85fe0ef9de5b987612140a9ba3a9c6d2543c6dec9f7c2ab27"},
{file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fc31baa0c32a2ca660784d5af3b9487e13b61b3032cb01a115fce6588e1bed30"},
{file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02c9087b109070c5ab0b383079fa1b5f797f8d43e9a66c07a4b8b8bdecfd88ee"},
{file = "pyzmq-25.1.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:f8429b17cbb746c3e043cb986328da023657e79d5ed258b711c06a70c2ea7537"},
{file = "pyzmq-25.1.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:5074adeacede5f810b7ef39607ee59d94e948b4fd954495bdb072f8c54558181"},
{file = "pyzmq-25.1.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:7ae8f354b895cbd85212da245f1a5ad8159e7840e37d78b476bb4f4c3f32a9fe"},
{file = "pyzmq-25.1.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b264bf2cc96b5bc43ce0e852be995e400376bd87ceb363822e2cb1964fcdc737"},
{file = "pyzmq-25.1.2-cp312-cp312-win32.whl", hash = "sha256:02bbc1a87b76e04fd780b45e7f695471ae6de747769e540da909173d50ff8e2d"},
{file = "pyzmq-25.1.2-cp312-cp312-win_amd64.whl", hash = "sha256:ced111c2e81506abd1dc142e6cd7b68dd53747b3b7ae5edbea4578c5eeff96b7"},
{file = "pyzmq-25.1.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:7b6d09a8962a91151f0976008eb7b29b433a560fde056ec7a3db9ec8f1075438"},
{file = "pyzmq-25.1.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:967668420f36878a3c9ecb5ab33c9d0ff8d054f9c0233d995a6d25b0e95e1b6b"},
{file = "pyzmq-25.1.2-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5edac3f57c7ddaacdb4d40f6ef2f9e299471fc38d112f4bc6d60ab9365445fb0"},
{file = "pyzmq-25.1.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:0dabfb10ef897f3b7e101cacba1437bd3a5032ee667b7ead32bbcdd1a8422fe7"},
{file = "pyzmq-25.1.2-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:2c6441e0398c2baacfe5ba30c937d274cfc2dc5b55e82e3749e333aabffde561"},
{file = "pyzmq-25.1.2-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:16b726c1f6c2e7625706549f9dbe9b06004dfbec30dbed4bf50cbdfc73e5b32a"},
{file = "pyzmq-25.1.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:a86c2dd76ef71a773e70551a07318b8e52379f58dafa7ae1e0a4be78efd1ff16"},
{file = "pyzmq-25.1.2-cp36-cp36m-win32.whl", hash = "sha256:359f7f74b5d3c65dae137f33eb2bcfa7ad9ebefd1cab85c935f063f1dbb245cc"},
{file = "pyzmq-25.1.2-cp36-cp36m-win_amd64.whl", hash = "sha256:55875492f820d0eb3417b51d96fea549cde77893ae3790fd25491c5754ea2f68"},
{file = "pyzmq-25.1.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b8c8a419dfb02e91b453615c69568442e897aaf77561ee0064d789705ff37a92"},
{file = "pyzmq-25.1.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8807c87fa893527ae8a524c15fc505d9950d5e856f03dae5921b5e9aa3b8783b"},
{file = "pyzmq-25.1.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5e319ed7d6b8f5fad9b76daa0a68497bc6f129858ad956331a5835785761e003"},
{file = "pyzmq-25.1.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:3c53687dde4d9d473c587ae80cc328e5b102b517447456184b485587ebd18b62"},
{file = "pyzmq-25.1.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:9add2e5b33d2cd765ad96d5eb734a5e795a0755f7fc49aa04f76d7ddda73fd70"},
{file = "pyzmq-25.1.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:e690145a8c0c273c28d3b89d6fb32c45e0d9605b2293c10e650265bf5c11cfec"},
{file = "pyzmq-25.1.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:00a06faa7165634f0cac1abb27e54d7a0b3b44eb9994530b8ec73cf52e15353b"},
{file = "pyzmq-25.1.2-cp37-cp37m-win32.whl", hash = "sha256:0f97bc2f1f13cb16905a5f3e1fbdf100e712d841482b2237484360f8bc4cb3d7"},
{file = "pyzmq-25.1.2-cp37-cp37m-win_amd64.whl", hash = "sha256:6cc0020b74b2e410287e5942e1e10886ff81ac77789eb20bec13f7ae681f0fdd"},
{file = "pyzmq-25.1.2-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:bef02cfcbded83473bdd86dd8d3729cd82b2e569b75844fb4ea08fee3c26ae41"},
{file = "pyzmq-25.1.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e10a4b5a4b1192d74853cc71a5e9fd022594573926c2a3a4802020360aa719d8"},
{file = "pyzmq-25.1.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8c5f80e578427d4695adac6fdf4370c14a2feafdc8cb35549c219b90652536ae"},
{file = "pyzmq-25.1.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5dde6751e857910c1339890f3524de74007958557593b9e7e8c5f01cd919f8a7"},
{file = "pyzmq-25.1.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea1608dd169da230a0ad602d5b1ebd39807ac96cae1845c3ceed39af08a5c6df"},
{file = "pyzmq-25.1.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0f513130c4c361201da9bc69df25a086487250e16b5571ead521b31ff6b02220"},
{file = "pyzmq-25.1.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:019744b99da30330798bb37df33549d59d380c78e516e3bab9c9b84f87a9592f"},
{file = "pyzmq-25.1.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2e2713ef44be5d52dd8b8e2023d706bf66cb22072e97fc71b168e01d25192755"},
{file = "pyzmq-25.1.2-cp38-cp38-win32.whl", hash = "sha256:07cd61a20a535524906595e09344505a9bd46f1da7a07e504b315d41cd42eb07"},
{file = "pyzmq-25.1.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb7e49a17fb8c77d3119d41a4523e432eb0c6932187c37deb6fbb00cc3028088"},
{file = "pyzmq-25.1.2-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:94504ff66f278ab4b7e03e4cba7e7e400cb73bfa9d3d71f58d8972a8dc67e7a6"},
{file = "pyzmq-25.1.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6dd0d50bbf9dca1d0bdea219ae6b40f713a3fb477c06ca3714f208fd69e16fd8"},
{file = "pyzmq-25.1.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:004ff469d21e86f0ef0369717351073e0e577428e514c47c8480770d5e24a565"},
{file = "pyzmq-25.1.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c0b5ca88a8928147b7b1e2dfa09f3b6c256bc1135a1338536cbc9ea13d3b7add"},
{file = "pyzmq-25.1.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c9a79f1d2495b167119d02be7448bfba57fad2a4207c4f68abc0bab4b92925b"},
{file = "pyzmq-25.1.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:518efd91c3d8ac9f9b4f7dd0e2b7b8bf1a4fe82a308009016b07eaa48681af82"},
{file = "pyzmq-25.1.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:1ec23bd7b3a893ae676d0e54ad47d18064e6c5ae1fadc2f195143fb27373f7f6"},
{file = "pyzmq-25.1.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db36c27baed588a5a8346b971477b718fdc66cf5b80cbfbd914b4d6d355e44e2"},
{file = "pyzmq-25.1.2-cp39-cp39-win32.whl", hash = "sha256:39b1067f13aba39d794a24761e385e2eddc26295826530a8c7b6c6c341584289"},
{file = "pyzmq-25.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:8e9f3fabc445d0ce320ea2c59a75fe3ea591fdbdeebec5db6de530dd4b09412e"},
{file = "pyzmq-25.1.2-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a8c1d566344aee826b74e472e16edae0a02e2a044f14f7c24e123002dcff1c05"},
{file = "pyzmq-25.1.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:759cfd391a0996345ba94b6a5110fca9c557ad4166d86a6e81ea526c376a01e8"},
{file = "pyzmq-25.1.2-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c61e346ac34b74028ede1c6b4bcecf649d69b707b3ff9dc0fab453821b04d1e"},
{file = "pyzmq-25.1.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4cb8fc1f8d69b411b8ec0b5f1ffbcaf14c1db95b6bccea21d83610987435f1a4"},
{file = "pyzmq-25.1.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:3c00c9b7d1ca8165c610437ca0c92e7b5607b2f9076f4eb4b095c85d6e680a1d"},
{file = "pyzmq-25.1.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:df0c7a16ebb94452d2909b9a7b3337940e9a87a824c4fc1c7c36bb4404cb0cde"},
{file = "pyzmq-25.1.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:45999e7f7ed5c390f2e87ece7f6c56bf979fb213550229e711e45ecc7d42ccb8"},
{file = "pyzmq-25.1.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ac170e9e048b40c605358667aca3d94e98f604a18c44bdb4c102e67070f3ac9b"},
{file = "pyzmq-25.1.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1b604734bec94f05f81b360a272fc824334267426ae9905ff32dc2be433ab96"},
{file = "pyzmq-25.1.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:a793ac733e3d895d96f865f1806f160696422554e46d30105807fdc9841b9f7d"},
{file = "pyzmq-25.1.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0806175f2ae5ad4b835ecd87f5f85583316b69f17e97786f7443baaf54b9bb98"},
{file = "pyzmq-25.1.2-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ef12e259e7bc317c7597d4f6ef59b97b913e162d83b421dd0db3d6410f17a244"},
{file = "pyzmq-25.1.2-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ea253b368eb41116011add00f8d5726762320b1bda892f744c91997b65754d73"},
{file = "pyzmq-25.1.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b9b1f2ad6498445a941d9a4fee096d387fee436e45cc660e72e768d3d8ee611"},
{file = "pyzmq-25.1.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:8b14c75979ce932c53b79976a395cb2a8cd3aaf14aef75e8c2cb55a330b9b49d"},
{file = "pyzmq-25.1.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:889370d5174a741a62566c003ee8ddba4b04c3f09a97b8000092b7ca83ec9c49"},
{file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a18fff090441a40ffda8a7f4f18f03dc56ae73f148f1832e109f9bffa85df15"},
{file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99a6b36f95c98839ad98f8c553d8507644c880cf1e0a57fe5e3a3f3969040882"},
{file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4345c9a27f4310afbb9c01750e9461ff33d6fb74cd2456b107525bbeebcb5be3"},
{file = "pyzmq-25.1.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3516e0b6224cf6e43e341d56da15fd33bdc37fa0c06af4f029f7d7dfceceabbc"},
{file = "pyzmq-25.1.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:146b9b1f29ead41255387fb07be56dc29639262c0f7344f570eecdcd8d683314"},
{file = "pyzmq-25.1.2.tar.gz", hash = "sha256:93f1aa311e8bb912e34f004cf186407a4e90eec4f0ecc0efd26056bf7eda0226"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
cffi = {version = "*", markers = "implementation_name == \"pypy\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "qudida"
version = "0.0.4"
description = "QUick and DIrty Domain Adaptation"
optional = false
python-versions = ">=3.5.0"
files = [
{file = "qudida-0.0.4-py3-none-any.whl", hash = "sha256:4519714c40cd0f2e6c51e1735edae8f8b19f4efe1f33be13e9d644ca5f736dd6"},
{file = "qudida-0.0.4.tar.gz", hash = "sha256:db198e2887ab0c9aa0023e565afbff41dfb76b361f85fd5e13f780d75ba18cc8"},
]
[package.dependencies]
numpy = ">=0.18.0"
opencv-python-headless = ">=4.0.1"
scikit-learn = ">=0.19.1"
typing-extensions = "*"
[[package]]
name = "requests"
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
version = "2.32.3"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Python HTTP for Humans."
optional = false
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
[[package]]
name = "rich"
fix(deps): update machine-learning (#13270)
2024-10-07 19:11:57 -07:00
version = "13.9.2"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
optional = false
fix(deps): update machine-learning (#13270)
2024-10-07 19:11:57 -07:00
python-versions = ">=3.8.0"
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
files = [
fix(deps): update machine-learning (#13270)
2024-10-07 19:11:57 -07:00
{file = "rich-13.9.2-py3-none-any.whl", hash = "sha256:8c82a3d3f8dcfe9e734771313e606b39d8247bb6b826e196f4914b333b743cf1"},
{file = "rich-13.9.2.tar.gz", hash = "sha256:51a2c62057461aaf7152b4d611168f93a9fc73068f8ded2790f29fe2b5366d0c"},
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
]
[package.dependencies]
markdown-it-py = ">=2.2.0"
pygments = ">=2.13.0,<3.0.0"
fix(deps): update machine-learning (#13270)
2024-10-07 19:11:57 -07:00
typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
[package.extras]
jupyter = ["ipywidgets (>=7.5.1,<9)"]
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
[[package]]
name = "ruff"
chore(deps): update dependency ruff to v0.7.0 (#13682)
2024-10-22 10:14:01 -07:00
version = "0.7.0"
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
description = "An extremely fast Python linter and code formatter, written in Rust."
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
optional = false
python-versions = ">=3.7"
files = [
chore(deps): update dependency ruff to v0.7.0 (#13682)
2024-10-22 10:14:01 -07:00
{file = "ruff-0.7.0-py3-none-linux_armv6l.whl", hash = "sha256:0cdf20c2b6ff98e37df47b2b0bd3a34aaa155f59a11182c1303cce79be715628"},
{file = "ruff-0.7.0-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:496494d350c7fdeb36ca4ef1c9f21d80d182423718782222c29b3e72b3512737"},
{file = "ruff-0.7.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:214b88498684e20b6b2b8852c01d50f0651f3cc6118dfa113b4def9f14faaf06"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:630fce3fefe9844e91ea5bbf7ceadab4f9981f42b704fae011bb8efcaf5d84be"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:211d877674e9373d4bb0f1c80f97a0201c61bcd1e9d045b6e9726adc42c156aa"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:194d6c46c98c73949a106425ed40a576f52291c12bc21399eb8f13a0f7073495"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:82c2579b82b9973a110fab281860403b397c08c403de92de19568f32f7178598"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9af971fe85dcd5eaed8f585ddbc6bdbe8c217fb8fcf510ea6bca5bdfff56040e"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b641c7f16939b7d24b7bfc0be4102c56562a18281f84f635604e8a6989948914"},
{file = "ruff-0.7.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d71672336e46b34e0c90a790afeac8a31954fd42872c1f6adaea1dff76fd44f9"},
{file = "ruff-0.7.0-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ab7d98c7eed355166f367597e513a6c82408df4181a937628dbec79abb2a1fe4"},
{file = "ruff-0.7.0-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:1eb54986f770f49edb14f71d33312d79e00e629a57387382200b1ef12d6a4ef9"},
{file = "ruff-0.7.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:dc452ba6f2bb9cf8726a84aa877061a2462afe9ae0ea1d411c53d226661c601d"},
{file = "ruff-0.7.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4b406c2dce5be9bad59f2de26139a86017a517e6bcd2688da515481c05a2cb11"},
{file = "ruff-0.7.0-py3-none-win32.whl", hash = "sha256:f6c968509f767776f524a8430426539587d5ec5c662f6addb6aa25bc2e8195ec"},
{file = "ruff-0.7.0-py3-none-win_amd64.whl", hash = "sha256:ff4aabfbaaba880e85d394603b9e75d32b0693152e16fa659a3064a85df7fce2"},
{file = "ruff-0.7.0-py3-none-win_arm64.whl", hash = "sha256:10842f69c245e78d6adec7e1db0a7d9ddc2fff0621d730e61657b64fa36f207e"},
{file = "ruff-0.7.0.tar.gz", hash = "sha256:47a86360cf62d9cd53ebfb0b5eb0e882193fc191c6d717e8bef4462bc3b9ea2b"},
chore(ml): added testing and github workflow (#2969) * added testing * github action for python, made mypy happy * formatted with black * minor fixes and styling * test model cache * cache test dependencies * narrowed model cache tests * moved endpoint tests to their own class * cleaned up fixtures * formatting * removed unused dep
2023-06-27 16:21:33 -07:00
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "scikit-image"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "0.22.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Image processing in Python"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "scikit_image-0.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74ec5c1d4693506842cc7c9487c89d8fc32aed064e9363def7af08b8f8cbb31d"},
{file = "scikit_image-0.22.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:a05ae4fe03d802587ed8974e900b943275548cde6a6807b785039d63e9a7a5ff"},
{file = "scikit_image-0.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6a92dca3d95b1301442af055e196a54b5a5128c6768b79fc0a4098f1d662dee6"},
{file = "scikit_image-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3663d063d8bf2fb9bdfb0ca967b9ee3b6593139c860c7abc2d2351a8a8863938"},
{file = "scikit_image-0.22.0-cp310-cp310-win_amd64.whl", hash = "sha256:ebdbdc901bae14dab637f8d5c99f6d5cc7aaf4a3b6f4003194e003e9f688a6fc"},
{file = "scikit_image-0.22.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:95d6da2d8a44a36ae04437c76d32deb4e3c993ffc846b394b9949fd8ded73cb2"},
{file = "scikit_image-0.22.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:2c6ef454a85f569659b813ac2a93948022b0298516b757c9c6c904132be327e2"},
{file = "scikit_image-0.22.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e87872f067444ee90a00dd49ca897208308645382e8a24bd3e76f301af2352cd"},
{file = "scikit_image-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5c378db54e61b491b9edeefff87e49fcf7fdf729bb93c777d7a5f15d36f743e"},
{file = "scikit_image-0.22.0-cp311-cp311-win_amd64.whl", hash = "sha256:2bcb74adb0634258a67f66c2bb29978c9a3e222463e003b67ba12056c003971b"},
{file = "scikit_image-0.22.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:003ca2274ac0fac252280e7179ff986ff783407001459ddea443fe7916e38cff"},
{file = "scikit_image-0.22.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:cf3c0c15b60ae3e557a0c7575fbd352f0c3ce0afca562febfe3ab80efbeec0e9"},
{file = "scikit_image-0.22.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5b23908dd4d120e6aecb1ed0277563e8cbc8d6c0565bdc4c4c6475d53608452"},
{file = "scikit_image-0.22.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be79d7493f320a964f8fcf603121595ba82f84720de999db0fcca002266a549a"},
{file = "scikit_image-0.22.0-cp312-cp312-win_amd64.whl", hash = "sha256:722b970aa5da725dca55252c373b18bbea7858c1cdb406e19f9b01a4a73b30b2"},
{file = "scikit_image-0.22.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:22318b35044cfeeb63ee60c56fc62450e5fe516228138f1d06c7a26378248a86"},
{file = "scikit_image-0.22.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:9e801c44a814afdadeabf4dffdffc23733e393767958b82319706f5fa3e1eaa9"},
{file = "scikit_image-0.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c472a1fb3665ec5c00423684590631d95f9afcbc97f01407d348b821880b2cb3"},
{file = "scikit_image-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b7a6c89e8d6252332121b58f50e1625c35f7d6a85489c0b6b7ee4f5155d547a"},
{file = "scikit_image-0.22.0-cp39-cp39-win_amd64.whl", hash = "sha256:5071b8f6341bfb0737ab05c8ab4ac0261f9e25dbcc7b5d31e5ed230fd24a7929"},
{file = "scikit_image-0.22.0.tar.gz", hash = "sha256:018d734df1d2da2719087d15f679d19285fce97cd37695103deadfaef2873236"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
imageio = ">=2.27"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
lazy_loader = ">=0.3"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
networkx = ">=2.8"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
numpy = ">=1.22"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
packaging = ">=21"
pillow = ">=9.0.1"
scipy = ">=1.8"
tifffile = ">=2022.8.12"
[package.extras]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
build = ["Cython (>=0.29.32)", "build", "meson-python (>=0.14)", "ninja", "numpy (>=1.22)", "packaging (>=21)", "pythran", "setuptools (>=67)", "spin (==0.6)", "wheel"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
data = ["pooch (>=1.6.0)"]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
developer = ["pre-commit", "tomli"]
docs = ["PyWavelets (>=1.1.1)", "dask[array] (>=2022.9.2)", "ipykernel", "ipywidgets", "kaleido", "matplotlib (>=3.5)", "myst-parser", "numpydoc (>=1.6)", "pandas (>=1.5)", "plotly (>=5.10)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.14.1)", "pytest-runner", "scikit-learn (>=1.1)", "seaborn (>=0.11)", "sphinx (>=7.2)", "sphinx-copybutton", "sphinx-gallery (>=0.14)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
optional = ["PyWavelets (>=1.1.1)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=0.2.1)", "dask[array] (>=2021.1.0)", "matplotlib (>=3.5)", "pooch (>=1.6.0)", "pyamg", "scikit-learn (>=1.1)"]
test = ["asv", "matplotlib (>=3.5)", "numpydoc (>=1.5)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-cov (>=2.11.0)", "pytest-faulthandler", "pytest-localserver"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "scikit-learn"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "1.3.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "A set of python modules for machine learning and data mining"
optional = false
python-versions = ">=3.8"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "scikit-learn-1.3.2.tar.gz", hash = "sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05"},
{file = "scikit_learn-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1"},
{file = "scikit_learn-1.3.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a"},
{file = "scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c"},
{file = "scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161"},
{file = "scikit_learn-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c"},
{file = "scikit_learn-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66"},
{file = "scikit_learn-1.3.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157"},
{file = "scikit_learn-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb"},
{file = "scikit_learn-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433"},
{file = "scikit_learn-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b"},
{file = "scikit_learn-1.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028"},
{file = "scikit_learn-1.3.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5"},
{file = "scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525"},
{file = "scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c"},
{file = "scikit_learn-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107"},
{file = "scikit_learn-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93"},
{file = "scikit_learn-1.3.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073"},
{file = "scikit_learn-1.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d"},
{file = "scikit_learn-1.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf"},
{file = "scikit_learn-1.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0"},
{file = "scikit_learn-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03"},
{file = "scikit_learn-1.3.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e"},
{file = "scikit_learn-1.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a"},
{file = "scikit_learn-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9"},
{file = "scikit_learn-1.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
joblib = ">=1.1.1"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
numpy = ">=1.17.3,<2.0"
moved deps (#3379)
2023-07-22 13:04:52 -07:00
scipy = ">=1.5.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
threadpoolctl = ">=2.0.0"
[package.extras]
benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
moved deps (#3379)
2023-07-22 13:04:52 -07:00
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "scipy"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "1.11.4"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Fundamental algorithms for scientific computing in Python"
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "scipy-1.11.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710"},
{file = "scipy-1.11.4-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41"},
{file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4"},
{file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56"},
{file = "scipy-1.11.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446"},
{file = "scipy-1.11.4-cp310-cp310-win_amd64.whl", hash = "sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3"},
{file = "scipy-1.11.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be"},
{file = "scipy-1.11.4-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8"},
{file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c"},
{file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff"},
{file = "scipy-1.11.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993"},
{file = "scipy-1.11.4-cp311-cp311-win_amd64.whl", hash = "sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd"},
{file = "scipy-1.11.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6"},
{file = "scipy-1.11.4-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d"},
{file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4"},
{file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79"},
{file = "scipy-1.11.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660"},
{file = "scipy-1.11.4-cp312-cp312-win_amd64.whl", hash = "sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97"},
{file = "scipy-1.11.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7"},
{file = "scipy-1.11.4-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec"},
{file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea"},
{file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937"},
{file = "scipy-1.11.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd"},
{file = "scipy-1.11.4-cp39-cp39-win_amd64.whl", hash = "sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65"},
{file = "scipy-1.11.4.tar.gz", hash = "sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa"},
]
[package.dependencies]
numpy = ">=1.21.6,<1.28.0"
[package.extras]
dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "setuptools"
fix(deps): update dependency setuptools to v70 [security] (#11609)
2024-08-06 07:09:38 -07:00
version = "70.3.0"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "Easily download, build, install, upgrade, and uninstall Python packages"
optional = false
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
python-versions = ">=3.8"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
files = [
fix(deps): update dependency setuptools to v70 [security] (#11609)
2024-08-06 07:09:38 -07:00
{file = "setuptools-70.3.0-py3-none-any.whl", hash = "sha256:fe384da74336c398e0d956d1cae0669bc02eed936cdb1d49b57de1990dc11ffc"},
{file = "setuptools-70.3.0.tar.gz", hash = "sha256:f171bab1dfbc86b132997f26a119f6056a57950d058587841a0082e8830f9dc5"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.extras]
fix(deps): update dependency setuptools to v70 [security] (#11609)
2024-08-06 07:09:38 -07:00
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "sniffio"
version = "1.3.0"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
]
[[package]]
name = "starlette"
fix(deps): update machine-learning (#8646) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-04-10 22:38:30 -07:00
version = "0.37.2"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "The little ASGI library that shines."
optional = false
chore(deps): update machine-learning (#6302) * chore(deps): update machine-learning * fix typing, use new lifespan syntax * wrap in try / finally * move log --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2024-01-12 22:00:09 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update machine-learning (#8646) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-04-10 22:38:30 -07:00
{file = "starlette-0.37.2-py3-none-any.whl", hash = "sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee"},
{file = "starlette-0.37.2.tar.gz", hash = "sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
anyio = ">=3.4.0,<5"
[package.extras]
fix(deps): update dependency fastapi to v0.109.1 [security] (#6923) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2024-02-06 04:21:24 -07:00
full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "sympy"
version = "1.12"
description = "Computer algebra system (CAS) in Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
{file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
]
[package.dependencies]
mpmath = ">=0.19"
[[package]]
name = "threadpoolctl"
moved deps (#3379)
2023-07-22 13:04:52 -07:00
version = "3.2.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "threadpoolctl"
optional = false
moved deps (#3379)
2023-07-22 13:04:52 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
moved deps (#3379)
2023-07-22 13:04:52 -07:00
{file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
{file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "tifffile"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "2023.12.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Read and write TIFF files"
optional = false
moved deps (#3379)
2023-07-22 13:04:52 -07:00
python-versions = ">=3.9"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "tifffile-2023.12.9-py3-none-any.whl", hash = "sha256:9b066e4b1a900891ea42ffd33dab8ba34c537935618b9893ddef42d7d422692f"},
{file = "tifffile-2023.12.9.tar.gz", hash = "sha256:9dd1da91180a6453018a241ff219e1905f169384355cd89c9ef4034c1b46cdb8"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
numpy = "*"
[package.extras]
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
[[package]]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
name = "tokenizers"
fix(deps): update dependency tokenizers to v0.20.1 (#13470)
2024-10-15 12:38:18 -07:00
version = "0.20.1"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
description = ""
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
optional = false
python-versions = ">=3.7"
files = [
fix(deps): update dependency tokenizers to v0.20.1 (#13470)
2024-10-15 12:38:18 -07:00
{file = "tokenizers-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:439261da7c0a5c88bda97acb284d49fbdaf67e9d3b623c0bfd107512d22787a9"},
{file = "tokenizers-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:03dae629d99068b1ea5416d50de0fea13008f04129cc79af77a2a6392792d93c"},
{file = "tokenizers-0.20.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b61f561f329ffe4b28367798b89d60c4abf3f815d37413b6352bc6412a359867"},
{file = "tokenizers-0.20.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ec870fce1ee5248a10be69f7a8408a234d6f2109f8ea827b4f7ecdbf08c9fd15"},
{file = "tokenizers-0.20.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d388d1ea8b7447da784e32e3b86a75cce55887e3b22b31c19d0b186b1c677800"},
{file = "tokenizers-0.20.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:299c85c1d21135bc01542237979bf25c32efa0d66595dd0069ae259b97fb2dbe"},
{file = "tokenizers-0.20.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e96f6c14c9752bb82145636b614d5a78e9cde95edfbe0a85dad0dd5ddd6ec95c"},
{file = "tokenizers-0.20.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc9e95ad49c932b80abfbfeaf63b155761e695ad9f8a58c52a47d962d76e310f"},
{file = "tokenizers-0.20.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:f22dee205329a636148c325921c73cf3e412e87d31f4d9c3153b302a0200057b"},
{file = "tokenizers-0.20.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a2ffd9a8895575ac636d44500c66dffaef133823b6b25067604fa73bbc5ec09d"},
{file = "tokenizers-0.20.1-cp310-none-win32.whl", hash = "sha256:2847843c53f445e0f19ea842a4e48b89dd0db4e62ba6e1e47a2749d6ec11f50d"},
{file = "tokenizers-0.20.1-cp310-none-win_amd64.whl", hash = "sha256:f9aa93eacd865f2798b9e62f7ce4533cfff4f5fbd50c02926a78e81c74e432cd"},
{file = "tokenizers-0.20.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:4a717dcb08f2dabbf27ae4b6b20cbbb2ad7ed78ce05a829fae100ff4b3c7ff15"},
{file = "tokenizers-0.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3f84dad1ff1863c648d80628b1b55353d16303431283e4efbb6ab1af56a75832"},
{file = "tokenizers-0.20.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:929c8f3afa16a5130a81ab5079c589226273ec618949cce79b46d96e59a84f61"},
{file = "tokenizers-0.20.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d10766473954397e2d370f215ebed1cc46dcf6fd3906a2a116aa1d6219bfedc3"},
{file = "tokenizers-0.20.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9300fac73ddc7e4b0330acbdda4efaabf74929a4a61e119a32a181f534a11b47"},
{file = "tokenizers-0.20.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0ecaf7b0e39caeb1aa6dd6e0975c405716c82c1312b55ac4f716ef563a906969"},
{file = "tokenizers-0.20.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5170be9ec942f3d1d317817ced8d749b3e1202670865e4fd465e35d8c259de83"},
{file = "tokenizers-0.20.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef3f1ae08fa9aea5891cbd69df29913e11d3841798e0bfb1ff78b78e4e7ea0a4"},
{file = "tokenizers-0.20.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ee86d4095d3542d73579e953c2e5e07d9321af2ffea6ecc097d16d538a2dea16"},
{file = "tokenizers-0.20.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:86dcd08da163912e17b27bbaba5efdc71b4fbffb841530fdb74c5707f3c49216"},
{file = "tokenizers-0.20.1-cp311-none-win32.whl", hash = "sha256:9af2dc4ee97d037bc6b05fa4429ddc87532c706316c5e11ce2f0596dfcfa77af"},
{file = "tokenizers-0.20.1-cp311-none-win_amd64.whl", hash = "sha256:899152a78b095559c287b4c6d0099469573bb2055347bb8154db106651296f39"},
{file = "tokenizers-0.20.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:407ab666b38e02228fa785e81f7cf79ef929f104bcccf68a64525a54a93ceac9"},
{file = "tokenizers-0.20.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2f13a2d16032ebc8bd812eb8099b035ac65887d8f0c207261472803b9633cf3e"},
{file = "tokenizers-0.20.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e98eee4dca22849fbb56a80acaa899eec5b72055d79637dd6aa15d5e4b8628c9"},
{file = "tokenizers-0.20.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:47c1bcdd61e61136087459cb9e0b069ff23b5568b008265e5cbc927eae3387ce"},
{file = "tokenizers-0.20.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:128c1110e950534426e2274837fc06b118ab5f2fa61c3436e60e0aada0ccfd67"},
{file = "tokenizers-0.20.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2e2d47a819d2954f2c1cd0ad51bb58ffac6f53a872d5d82d65d79bf76b9896d"},
{file = "tokenizers-0.20.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bdd67a0e3503a9a7cf8bc5a4a49cdde5fa5bada09a51e4c7e1c73900297539bd"},
{file = "tokenizers-0.20.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:689b93d2e26d04da337ac407acec8b5d081d8d135e3e5066a88edd5bdb5aff89"},
{file = "tokenizers-0.20.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0c6a796ddcd9a19ad13cf146997cd5895a421fe6aec8fd970d69f9117bddb45c"},
{file = "tokenizers-0.20.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3ea919687aa7001a8ff1ba36ac64f165c4e89035f57998fa6cedcfd877be619d"},
{file = "tokenizers-0.20.1-cp312-none-win32.whl", hash = "sha256:6d3ac5c1f48358ffe20086bf065e843c0d0a9fce0d7f0f45d5f2f9fba3609ca5"},
{file = "tokenizers-0.20.1-cp312-none-win_amd64.whl", hash = "sha256:b0874481aea54a178f2bccc45aa2d0c99cd3f79143a0948af6a9a21dcc49173b"},
{file = "tokenizers-0.20.1-cp37-cp37m-macosx_10_12_x86_64.whl", hash = "sha256:96af92e833bd44760fb17f23f402e07a66339c1dcbe17d79a9b55bb0cc4f038e"},
{file = "tokenizers-0.20.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:65f34e5b731a262dfa562820818533c38ce32a45864437f3d9c82f26c139ca7f"},
{file = "tokenizers-0.20.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17f98fccb5c12ab1ce1f471731a9cd86df5d4bd2cf2880c5a66b229802d96145"},
{file = "tokenizers-0.20.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b8c0fc3542cf9370bf92c932eb71bdeb33d2d4aeeb4126d9fd567b60bd04cb30"},
{file = "tokenizers-0.20.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4b39356df4575d37f9b187bb623aab5abb7b62c8cb702867a1768002f814800c"},
{file = "tokenizers-0.20.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bfdad27b0e50544f6b838895a373db6114b85112ba5c0cefadffa78d6daae563"},
{file = "tokenizers-0.20.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:094663dd0e85ee2e573126918747bdb40044a848fde388efb5b09d57bc74c680"},
{file = "tokenizers-0.20.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14e4cf033a2aa207d7ac790e91adca598b679999710a632c4a494aab0fc3a1b2"},
{file = "tokenizers-0.20.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:9310951c92c9fb91660de0c19a923c432f110dbfad1a2d429fbc44fa956bf64f"},
{file = "tokenizers-0.20.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:05e41e302c315bd2ed86c02e917bf03a6cf7d2f652c9cee1a0eb0d0f1ca0d32c"},
{file = "tokenizers-0.20.1-cp37-none-win32.whl", hash = "sha256:212231ab7dfcdc879baf4892ca87c726259fa7c887e1688e3f3cead384d8c305"},
{file = "tokenizers-0.20.1-cp37-none-win_amd64.whl", hash = "sha256:896195eb9dfdc85c8c052e29947169c1fcbe75a254c4b5792cdbd451587bce85"},
{file = "tokenizers-0.20.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:741fb22788482d09d68e73ece1495cfc6d9b29a06c37b3df90564a9cfa688e6d"},
{file = "tokenizers-0.20.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:10be14ebd8082086a342d969e17fc2d6edc856c59dbdbddd25f158fa40eaf043"},
{file = "tokenizers-0.20.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:514cf279b22fa1ae0bc08e143458c74ad3b56cd078b319464959685a35c53d5e"},
{file = "tokenizers-0.20.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a647c5b7cb896d6430cf3e01b4e9a2d77f719c84cefcef825d404830c2071da2"},
{file = "tokenizers-0.20.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7cdf379219e1e1dd432091058dab325a2e6235ebb23e0aec8d0508567c90cd01"},
{file = "tokenizers-0.20.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ba72260449e16c4c2f6f3252823b059fbf2d31b32617e582003f2b18b415c39"},
{file = "tokenizers-0.20.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:910b96ed87316e4277b23c7bcaf667ce849c7cc379a453fa179e7e09290eeb25"},
{file = "tokenizers-0.20.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e53975a6694428a0586534cc1354b2408d4e010a3103117f617cbb550299797c"},
{file = "tokenizers-0.20.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:07c4b7be58da142b0730cc4e5fd66bb7bf6f57f4986ddda73833cd39efef8a01"},
{file = "tokenizers-0.20.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b605c540753e62199bf15cf69c333e934077ef2350262af2ccada46026f83d1c"},
{file = "tokenizers-0.20.1-cp38-none-win32.whl", hash = "sha256:88b3bc76ab4db1ab95ead623d49c95205411e26302cf9f74203e762ac7e85685"},
{file = "tokenizers-0.20.1-cp38-none-win_amd64.whl", hash = "sha256:d412a74cf5b3f68a90c615611a5aa4478bb303d1c65961d22db45001df68afcb"},
{file = "tokenizers-0.20.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a25dcb2f41a0a6aac31999e6c96a75e9152fa0127af8ece46c2f784f23b8197a"},
{file = "tokenizers-0.20.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a12c3cebb8c92e9c35a23ab10d3852aee522f385c28d0b4fe48c0b7527d59762"},
{file = "tokenizers-0.20.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02e18da58cf115b7c40de973609c35bde95856012ba42a41ee919c77935af251"},
{file = "tokenizers-0.20.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f326a1ac51ae909b9760e34671c26cd0dfe15662f447302a9d5bb2d872bab8ab"},
{file = "tokenizers-0.20.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0b4872647ea6f25224e2833b044b0b19084e39400e8ead3cfe751238b0802140"},
{file = "tokenizers-0.20.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce6238a3311bb8e4c15b12600927d35c267b92a52c881ef5717a900ca14793f7"},
{file = "tokenizers-0.20.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57b7a8880b208866508b06ce365dc631e7a2472a3faa24daa430d046fb56c885"},
{file = "tokenizers-0.20.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a908c69c2897a68f412aa05ba38bfa87a02980df70f5a72fa8490479308b1f2d"},
{file = "tokenizers-0.20.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:da1001aa46f4490099c82e2facc4fbc06a6a32bf7de3918ba798010954b775e0"},
{file = "tokenizers-0.20.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:42c097390e2f0ed0a5c5d569e6669dd4e9fff7b31c6a5ce6e9c66a61687197de"},
{file = "tokenizers-0.20.1-cp39-none-win32.whl", hash = "sha256:3d4d218573a3d8b121a1f8c801029d70444ffb6d8f129d4cca1c7b672ee4a24c"},
{file = "tokenizers-0.20.1-cp39-none-win_amd64.whl", hash = "sha256:37d1e6f616c84fceefa7c6484a01df05caf1e207669121c66213cb5b2911d653"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:48689da7a395df41114f516208d6550e3e905e1239cc5ad386686d9358e9cef0"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:712f90ea33f9bd2586b4a90d697c26d56d0a22fd3c91104c5858c4b5b6489a79"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:359eceb6a620c965988fc559cebc0a98db26713758ec4df43fb76d41486a8ed5"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0d3caf244ce89d24c87545aafc3448be15870096e796c703a0d68547187192e1"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03b03cf8b9a32254b1bf8a305fb95c6daf1baae0c1f93b27f2b08c9759f41dee"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:218e5a3561561ea0f0ef1559c6d95b825308dbec23fb55b70b92589e7ff2e1e8"},
{file = "tokenizers-0.20.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f40df5e0294a95131cc5f0e0eb91fe86d88837abfbee46b9b3610b09860195a7"},
{file = "tokenizers-0.20.1-pp37-pypy37_pp73-macosx_10_12_x86_64.whl", hash = "sha256:08aaa0d72bb65058e8c4b0455f61b840b156c557e2aca57627056624c3a93976"},
{file = "tokenizers-0.20.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:998700177b45f70afeb206ad22c08d9e5f3a80639dae1032bf41e8cbc4dada4b"},
{file = "tokenizers-0.20.1-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62f7fbd3c2c38b179556d879edae442b45f68312019c3a6013e56c3947a4e648"},
{file = "tokenizers-0.20.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31e87fca4f6bbf5cc67481b562147fe932f73d5602734de7dd18a8f2eee9c6dd"},
{file = "tokenizers-0.20.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:956f21d359ae29dd51ca5726d2c9a44ffafa041c623f5aa33749da87cfa809b9"},
{file = "tokenizers-0.20.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:1fbbaf17a393c78d8aedb6a334097c91cb4119a9ced4764ab8cfdc8d254dc9f9"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ebe63e31f9c1a970c53866d814e35ec2ec26fda03097c486f82f3891cee60830"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:81970b80b8ac126910295f8aab2d7ef962009ea39e0d86d304769493f69aaa1e"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:130e35e76f9337ed6c31be386e75d4925ea807055acf18ca1a9b0eec03d8fe23"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd28a8614f5c82a54ab2463554e84ad79526c5184cf4573bbac2efbbbcead457"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9041ee665d0fa7f5c4ccf0f81f5e6b7087f797f85b143c094126fc2611fec9d0"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:62eb9daea2a2c06bcd8113a5824af8ef8ee7405d3a71123ba4d52c79bb3d9f1a"},
{file = "tokenizers-0.20.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f861889707b54a9ab1204030b65fd6c22bdd4a95205deec7994dc22a8baa2ea4"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:89d5c337d74ea6e5e7dc8af124cf177be843bbb9ca6e58c01f75ea103c12c8a9"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0b7f515c83397e73292accdbbbedc62264e070bae9682f06061e2ddce67cacaf"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e0305fc1ec6b1e5052d30d9c1d5c807081a7bd0cae46a33d03117082e91908c"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5dc611e6ac0fa00a41de19c3bf6391a05ea201d2d22b757d63f5491ec0e67faa"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5ffe0d7f7bfcfa3b2585776ecf11da2e01c317027c8573c78ebcb8985279e23"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e7edb8ec12c100d5458d15b1e47c0eb30ad606a05641f19af7563bc3d1608c14"},
{file = "tokenizers-0.20.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:de291633fb9303555793cc544d4a86e858da529b7d0b752bcaf721ae1d74b2c9"},
{file = "tokenizers-0.20.1.tar.gz", hash = "sha256:84edcc7cdeeee45ceedb65d518fffb77aec69311c9c8e30f77ad84da3025f002"},
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
]
[package.dependencies]
chore(deps): update machine-learning (#9029)
2024-04-23 11:33:12 -07:00
huggingface-hub = ">=0.16.4,<1.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[package.extras]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
dev = ["tokenizers[testing]"]
chore(deps): update machine-learning (#9029)
2024-04-23 11:33:12 -07:00
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.7"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "tqdm"
chore(deps): bump tqdm from 4.66.1 to 4.66.3 in /machine-learning (#9481)
2024-05-14 09:51:07 -07:00
version = "4.66.3"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
chore(deps): bump tqdm from 4.66.1 to 4.66.3 in /machine-learning (#9481)
2024-05-14 09:51:07 -07:00
{file = "tqdm-4.66.3-py3-none-any.whl", hash = "sha256:4f41d54107ff9a223dca80b53efe4fb654c67efaba7f47bada3ee9d50e05bd53"},
{file = "tqdm-4.66.3.tar.gz", hash = "sha256:23097a41eba115ba99ecae40d06444c15d1c0c698d527a01c6c8bd1c5d0647e5"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
feat(ml)!: switch image classification and CLIP models to ONNX (#3809)
2023-08-24 21:28:51 -07:00
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
chore(deps): update pydantic to v2 (#11701)
2024-08-11 09:23:11 -07:00
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "urllib3"
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
version = "2.1.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(server,ml): remove image tagging (#5903) * remove image tagging * updated lock * fixed tests, improved logging * be nice * fixed tests
2023-12-20 18:47:56 -07:00
{file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
{file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "uvicorn"
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
version = "0.32.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "The lightning-fast ASGI server."
optional = false
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
fix(deps): update machine-learning (#13661)
2024-10-21 19:21:38 -07:00
{file = "uvicorn-0.32.0-py3-none-any.whl", hash = "sha256:60b8f3a5ac027dcd31448f411ced12b5ef452c646f76f02f8cc3f25d8d26fd82"},
{file = "uvicorn-0.32.0.tar.gz", hash = "sha256:f78b36b143c16f54ccdb8190d0a26b5f1901fe5a3c777e1ab29f26391af8551e"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
click = ">=7.0"
colorama = {version = ">=0.4", optional = true, markers = "sys_platform == \"win32\" and extra == \"standard\""}
h11 = ">=0.8"
httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standard\""}
python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
fix(deps): update machine-learning (#5180) * fix(deps): update machine-learning * updated ruff command * use isinstance --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
2023-12-25 20:37:48 -07:00
typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
[package.extras]
standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
[[package]]
name = "uvloop"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "0.19.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Fast implementation of asyncio event loop on top of libuv"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:de4313d7f575474c8f5a12e163f6d89c0a878bc49219641d49e6f1444369a90e"},
{file = "uvloop-0.19.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5588bd21cf1fcf06bded085f37e43ce0e00424197e7c10e77afd4bbefffef428"},
{file = "uvloop-0.19.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b1fd71c3843327f3bbc3237bedcdb6504fd50368ab3e04d0410e52ec293f5b8"},
{file = "uvloop-0.19.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a05128d315e2912791de6088c34136bfcdd0c7cbc1cf85fd6fd1bb321b7c849"},
{file = "uvloop-0.19.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:cd81bdc2b8219cb4b2556eea39d2e36bfa375a2dd021404f90a62e44efaaf957"},
{file = "uvloop-0.19.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:5f17766fb6da94135526273080f3455a112f82570b2ee5daa64d682387fe0dcd"},
{file = "uvloop-0.19.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:4ce6b0af8f2729a02a5d1575feacb2a94fc7b2e983868b009d51c9a9d2149bef"},
{file = "uvloop-0.19.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:31e672bb38b45abc4f26e273be83b72a0d28d074d5b370fc4dcf4c4eb15417d2"},
{file = "uvloop-0.19.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:570fc0ed613883d8d30ee40397b79207eedd2624891692471808a95069a007c1"},
{file = "uvloop-0.19.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5138821e40b0c3e6c9478643b4660bd44372ae1e16a322b8fc07478f92684e24"},
{file = "uvloop-0.19.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:91ab01c6cd00e39cde50173ba4ec68a1e578fee9279ba64f5221810a9e786533"},
{file = "uvloop-0.19.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:47bf3e9312f63684efe283f7342afb414eea4d3011542155c7e625cd799c3b12"},
{file = "uvloop-0.19.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:da8435a3bd498419ee8c13c34b89b5005130a476bda1d6ca8cfdde3de35cd650"},
{file = "uvloop-0.19.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:02506dc23a5d90e04d4f65c7791e65cf44bd91b37f24cfc3ef6cf2aff05dc7ec"},
{file = "uvloop-0.19.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2693049be9d36fef81741fddb3f441673ba12a34a704e7b4361efb75cf30befc"},
{file = "uvloop-0.19.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7010271303961c6f0fe37731004335401eb9075a12680738731e9c92ddd96ad6"},
{file = "uvloop-0.19.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:5daa304d2161d2918fa9a17d5635099a2f78ae5b5960e742b2fcfbb7aefaa593"},
{file = "uvloop-0.19.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:7207272c9520203fea9b93843bb775d03e1cf88a80a936ce760f60bb5add92f3"},
{file = "uvloop-0.19.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:78ab247f0b5671cc887c31d33f9b3abfb88d2614b84e4303f1a63b46c046c8bd"},
{file = "uvloop-0.19.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:472d61143059c84947aa8bb74eabbace30d577a03a1805b77933d6bd13ddebbd"},
{file = "uvloop-0.19.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45bf4c24c19fb8a50902ae37c5de50da81de4922af65baf760f7c0c42e1088be"},
{file = "uvloop-0.19.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:271718e26b3e17906b28b67314c45d19106112067205119dddbd834c2b7ce797"},
{file = "uvloop-0.19.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:34175c9fd2a4bc3adc1380e1261f60306344e3407c20a4d684fd5f3be010fa3d"},
{file = "uvloop-0.19.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e27f100e1ff17f6feeb1f33968bc185bf8ce41ca557deee9d9bbbffeb72030b7"},
{file = "uvloop-0.19.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:13dfdf492af0aa0a0edf66807d2b465607d11c4fa48f4a1fd41cbea5b18e8e8b"},
{file = "uvloop-0.19.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6e3d4e85ac060e2342ff85e90d0c04157acb210b9ce508e784a944f852a40e67"},
{file = "uvloop-0.19.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ca4956c9ab567d87d59d49fa3704cf29e37109ad348f2d5223c9bf761a332e7"},
{file = "uvloop-0.19.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f467a5fd23b4fc43ed86342641f3936a68ded707f4627622fa3f82a120e18256"},
{file = "uvloop-0.19.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:492e2c32c2af3f971473bc22f086513cedfc66a130756145a931a90c3958cb17"},
{file = "uvloop-0.19.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2df95fca285a9f5bfe730e51945ffe2fa71ccbfdde3b0da5772b4ee4f2e770d5"},
{file = "uvloop-0.19.0.tar.gz", hash = "sha256:0246f4fd1bf2bf702e06b0d45ee91677ee5c31242f39aab4ea6fe0c51aedd0fd"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.extras]
docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[[package]]
name = "watchfiles"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "0.21.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Simple, modern and high performance file watching and code reload in python."
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "watchfiles-0.21.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:27b4035013f1ea49c6c0b42d983133b136637a527e48c132d368eb19bf1ac6aa"},
{file = "watchfiles-0.21.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c81818595eff6e92535ff32825f31c116f867f64ff8cdf6562cd1d6b2e1e8f3e"},
{file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6c107ea3cf2bd07199d66f156e3ea756d1b84dfd43b542b2d870b77868c98c03"},
{file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d9ac347653ebd95839a7c607608703b20bc07e577e870d824fa4801bc1cb124"},
{file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5eb86c6acb498208e7663ca22dbe68ca2cf42ab5bf1c776670a50919a56e64ab"},
{file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f564bf68404144ea6b87a78a3f910cc8de216c6b12a4cf0b27718bf4ec38d303"},
{file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d0f32ebfaa9c6011f8454994f86108c2eb9c79b8b7de00b36d558cadcedaa3d"},
{file = "watchfiles-0.21.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6d45d9b699ecbac6c7bd8e0a2609767491540403610962968d258fd6405c17c"},
{file = "watchfiles-0.21.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:aff06b2cac3ef4616e26ba17a9c250c1fe9dd8a5d907d0193f84c499b1b6e6a9"},
{file = "watchfiles-0.21.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d9792dff410f266051025ecfaa927078b94cc7478954b06796a9756ccc7e14a9"},
{file = "watchfiles-0.21.0-cp310-none-win32.whl", hash = "sha256:214cee7f9e09150d4fb42e24919a1e74d8c9b8a9306ed1474ecaddcd5479c293"},
{file = "watchfiles-0.21.0-cp310-none-win_amd64.whl", hash = "sha256:1ad7247d79f9f55bb25ab1778fd47f32d70cf36053941f07de0b7c4e96b5d235"},
{file = "watchfiles-0.21.0-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:668c265d90de8ae914f860d3eeb164534ba2e836811f91fecc7050416ee70aa7"},
{file = "watchfiles-0.21.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3a23092a992e61c3a6a70f350a56db7197242f3490da9c87b500f389b2d01eef"},
{file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e7941bbcfdded9c26b0bf720cb7e6fd803d95a55d2c14b4bd1f6a2772230c586"},
{file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11cd0c3100e2233e9c53106265da31d574355c288e15259c0d40a4405cbae317"},
{file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d78f30cbe8b2ce770160d3c08cff01b2ae9306fe66ce899b73f0409dc1846c1b"},
{file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6674b00b9756b0af620aa2a3346b01f8e2a3dc729d25617e1b89cf6af4a54eb1"},
{file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd7ac678b92b29ba630d8c842d8ad6c555abda1b9ef044d6cc092dacbfc9719d"},
{file = "watchfiles-0.21.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c873345680c1b87f1e09e0eaf8cf6c891b9851d8b4d3645e7efe2ec20a20cc7"},
{file = "watchfiles-0.21.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:49f56e6ecc2503e7dbe233fa328b2be1a7797d31548e7a193237dcdf1ad0eee0"},
{file = "watchfiles-0.21.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:02d91cbac553a3ad141db016e3350b03184deaafeba09b9d6439826ee594b365"},
{file = "watchfiles-0.21.0-cp311-none-win32.whl", hash = "sha256:ebe684d7d26239e23d102a2bad2a358dedf18e462e8808778703427d1f584400"},
{file = "watchfiles-0.21.0-cp311-none-win_amd64.whl", hash = "sha256:4566006aa44cb0d21b8ab53baf4b9c667a0ed23efe4aaad8c227bfba0bf15cbe"},
{file = "watchfiles-0.21.0-cp311-none-win_arm64.whl", hash = "sha256:c550a56bf209a3d987d5a975cdf2063b3389a5d16caf29db4bdddeae49f22078"},
{file = "watchfiles-0.21.0-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:51ddac60b96a42c15d24fbdc7a4bfcd02b5a29c047b7f8bf63d3f6f5a860949a"},
{file = "watchfiles-0.21.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:511f0b034120cd1989932bf1e9081aa9fb00f1f949fbd2d9cab6264916ae89b1"},
{file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cfb92d49dbb95ec7a07511bc9efb0faff8fe24ef3805662b8d6808ba8409a71a"},
{file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f92944efc564867bbf841c823c8b71bb0be75e06b8ce45c084b46411475a915"},
{file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:642d66b75eda909fd1112d35c53816d59789a4b38c141a96d62f50a3ef9b3360"},
{file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d23bcd6c8eaa6324fe109d8cac01b41fe9a54b8c498af9ce464c1aeeb99903d6"},
{file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18d5b4da8cf3e41895b34e8c37d13c9ed294954907929aacd95153508d5d89d7"},
{file = "watchfiles-0.21.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b8d1eae0f65441963d805f766c7e9cd092f91e0c600c820c764a4ff71a0764c"},
{file = "watchfiles-0.21.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1fd9a5205139f3c6bb60d11f6072e0552f0a20b712c85f43d42342d162be1235"},
{file = "watchfiles-0.21.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a1e3014a625bcf107fbf38eece0e47fa0190e52e45dc6eee5a8265ddc6dc5ea7"},
{file = "watchfiles-0.21.0-cp312-none-win32.whl", hash = "sha256:9d09869f2c5a6f2d9df50ce3064b3391d3ecb6dced708ad64467b9e4f2c9bef3"},
{file = "watchfiles-0.21.0-cp312-none-win_amd64.whl", hash = "sha256:18722b50783b5e30a18a8a5db3006bab146d2b705c92eb9a94f78c72beb94094"},
{file = "watchfiles-0.21.0-cp312-none-win_arm64.whl", hash = "sha256:a3b9bec9579a15fb3ca2d9878deae789df72f2b0fdaf90ad49ee389cad5edab6"},
{file = "watchfiles-0.21.0-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:4ea10a29aa5de67de02256a28d1bf53d21322295cb00bd2d57fcd19b850ebd99"},
{file = "watchfiles-0.21.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:40bca549fdc929b470dd1dbfcb47b3295cb46a6d2c90e50588b0a1b3bd98f429"},
{file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9b37a7ba223b2f26122c148bb8d09a9ff312afca998c48c725ff5a0a632145f7"},
{file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec8c8900dc5c83650a63dd48c4d1d245343f904c4b64b48798c67a3767d7e165"},
{file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8ad3fe0a3567c2f0f629d800409cd528cb6251da12e81a1f765e5c5345fd0137"},
{file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9d353c4cfda586db2a176ce42c88f2fc31ec25e50212650c89fdd0f560ee507b"},
{file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:83a696da8922314ff2aec02987eefb03784f473281d740bf9170181829133765"},
{file = "watchfiles-0.21.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a03651352fc20975ee2a707cd2d74a386cd303cc688f407296064ad1e6d1562"},
{file = "watchfiles-0.21.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:3ad692bc7792be8c32918c699638b660c0de078a6cbe464c46e1340dadb94c19"},
{file = "watchfiles-0.21.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06247538e8253975bdb328e7683f8515ff5ff041f43be6c40bff62d989b7d0b0"},
{file = "watchfiles-0.21.0-cp38-none-win32.whl", hash = "sha256:9a0aa47f94ea9a0b39dd30850b0adf2e1cd32a8b4f9c7aa443d852aacf9ca214"},
{file = "watchfiles-0.21.0-cp38-none-win_amd64.whl", hash = "sha256:8d5f400326840934e3507701f9f7269247f7c026d1b6cfd49477d2be0933cfca"},
{file = "watchfiles-0.21.0-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:7f762a1a85a12cc3484f77eee7be87b10f8c50b0b787bb02f4e357403cad0c0e"},
{file = "watchfiles-0.21.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6e9be3ef84e2bb9710f3f777accce25556f4a71e15d2b73223788d528fcc2052"},
{file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:4c48a10d17571d1275701e14a601e36959ffada3add8cdbc9e5061a6e3579a5d"},
{file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c889025f59884423428c261f212e04d438de865beda0b1e1babab85ef4c0f01"},
{file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:66fac0c238ab9a2e72d026b5fb91cb902c146202bbd29a9a1a44e8db7b710b6f"},
{file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b4a21f71885aa2744719459951819e7bf5a906a6448a6b2bbce8e9cc9f2c8128"},
{file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c9198c989f47898b2c22201756f73249de3748e0fc9de44adaf54a8b259cc0c"},
{file = "watchfiles-0.21.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8f57c4461cd24fda22493109c45b3980863c58a25b8bec885ca8bea6b8d4b28"},
{file = "watchfiles-0.21.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:853853cbf7bf9408b404754b92512ebe3e3a83587503d766d23e6bf83d092ee6"},
{file = "watchfiles-0.21.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d5b1dc0e708fad9f92c296ab2f948af403bf201db8fb2eb4c8179db143732e49"},
{file = "watchfiles-0.21.0-cp39-none-win32.whl", hash = "sha256:59137c0c6826bd56c710d1d2bda81553b5e6b7c84d5a676747d80caf0409ad94"},
{file = "watchfiles-0.21.0-cp39-none-win_amd64.whl", hash = "sha256:6cb8fdc044909e2078c248986f2fc76f911f72b51ea4a4fbbf472e01d14faa58"},
{file = "watchfiles-0.21.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:ab03a90b305d2588e8352168e8c5a1520b721d2d367f31e9332c4235b30b8994"},
{file = "watchfiles-0.21.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:927c589500f9f41e370b0125c12ac9e7d3a2fd166b89e9ee2828b3dda20bfe6f"},
{file = "watchfiles-0.21.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bd467213195e76f838caf2c28cd65e58302d0254e636e7c0fca81efa4a2e62c"},
{file = "watchfiles-0.21.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02b73130687bc3f6bb79d8a170959042eb56eb3a42df3671c79b428cd73f17cc"},
{file = "watchfiles-0.21.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:08dca260e85ffae975448e344834d765983237ad6dc308231aa16e7933db763e"},
{file = "watchfiles-0.21.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:3ccceb50c611c433145502735e0370877cced72a6c70fd2410238bcbc7fe51d8"},
{file = "watchfiles-0.21.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:57d430f5fb63fea141ab71ca9c064e80de3a20b427ca2febcbfcef70ff0ce895"},
{file = "watchfiles-0.21.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dd5fad9b9c0dd89904bbdea978ce89a2b692a7ee8a0ce19b940e538c88a809c"},
{file = "watchfiles-0.21.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:be6dd5d52b73018b21adc1c5d28ac0c68184a64769052dfeb0c5d9998e7f56a2"},
{file = "watchfiles-0.21.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:b3cab0e06143768499384a8a5efb9c4dc53e19382952859e4802f294214f36ec"},
{file = "watchfiles-0.21.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c6ed10c2497e5fedadf61e465b3ca12a19f96004c15dcffe4bd442ebadc2d85"},
{file = "watchfiles-0.21.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43babacef21c519bc6631c5fce2a61eccdfc011b4bcb9047255e9620732c8097"},
{file = "watchfiles-0.21.0.tar.gz", hash = "sha256:c76c635fabf542bb78524905718c39f736a98e5ab25b23ec6d4abede1a85a6a3"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[package.dependencies]
anyio = ">=3.0.0"
[[package]]
name = "wcwidth"
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
version = "0.2.13"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "Measures the displayed width of unicode strings in a terminal"
optional = false
python-versions = "*"
files = [
feat(ml)!: cuda and openvino acceleration (#5619) * cuda and openvino ep, refactor, update dockerfile * updated workflow * typing fixes * added tests * updated ml test gh action * updated README * updated docker-compose * added compute to hwaccel.yml * updated gh matrix updated gh matrix updated gh matrix updated gh matrix updated gh matrix give up * remove cuda/arm64 build * add hwaccel image tags to docker-compose * remove unnecessary quotes * add suffix to git tag * fixed kwargs in base model * armnn ld_library_path * update pyproject.toml * add armnn workflow * formatting * consolidate hwaccel files, update docker compose * update hw transcoding docs * add ml hwaccel docs * update dev and prod docker-compose * added armnn prerequisite docs * support 3.10 * updated docker-compose comments * formatting * test coverage * don't set arena extend strategy for openvino * working openvino * formatting * fix dockerfile * added type annotation * add wsl configuration for openvino * updated lock file * copy python3 * comment out extends section * fix platforms * simplify workflow suffix tagging * simplify aio transcoding doc * update docs and workflow for `hwaccel.yml` change * revert docs
2024-01-21 16:22:39 -07:00
{file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
{file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
[[package]]
name = "websockets"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "12.0"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
optional = false
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
python-versions = ">=3.8"
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "websockets-12.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d554236b2a2006e0ce16315c16eaa0d628dab009c33b63ea03f41c6107958374"},
{file = "websockets-12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2d225bb6886591b1746b17c0573e29804619c8f755b5598d875bb4235ea639be"},
{file = "websockets-12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eb809e816916a3b210bed3c82fb88eaf16e8afcf9c115ebb2bacede1797d2547"},
{file = "websockets-12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c588f6abc13f78a67044c6b1273a99e1cf31038ad51815b3b016ce699f0d75c2"},
{file = "websockets-12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5aa9348186d79a5f232115ed3fa9020eab66d6c3437d72f9d2c8ac0c6858c558"},
{file = "websockets-12.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6350b14a40c95ddd53e775dbdbbbc59b124a5c8ecd6fbb09c2e52029f7a9f480"},
{file = "websockets-12.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:70ec754cc2a769bcd218ed8d7209055667b30860ffecb8633a834dde27d6307c"},
{file = "websockets-12.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6e96f5ed1b83a8ddb07909b45bd94833b0710f738115751cdaa9da1fb0cb66e8"},
{file = "websockets-12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4d87be612cbef86f994178d5186add3d94e9f31cc3cb499a0482b866ec477603"},
{file = "websockets-12.0-cp310-cp310-win32.whl", hash = "sha256:befe90632d66caaf72e8b2ed4d7f02b348913813c8b0a32fae1cc5fe3730902f"},
{file = "websockets-12.0-cp310-cp310-win_amd64.whl", hash = "sha256:363f57ca8bc8576195d0540c648aa58ac18cf85b76ad5202b9f976918f4219cf"},
{file = "websockets-12.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5d873c7de42dea355d73f170be0f23788cf3fa9f7bed718fd2830eefedce01b4"},
{file = "websockets-12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3f61726cae9f65b872502ff3c1496abc93ffbe31b278455c418492016e2afc8f"},
{file = "websockets-12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ed2fcf7a07334c77fc8a230755c2209223a7cc44fc27597729b8ef5425aa61a3"},
{file = "websockets-12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e332c210b14b57904869ca9f9bf4ca32f5427a03eeb625da9b616c85a3a506c"},
{file = "websockets-12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5693ef74233122f8ebab026817b1b37fe25c411ecfca084b29bc7d6efc548f45"},
{file = "websockets-12.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e9e7db18b4539a29cc5ad8c8b252738a30e2b13f033c2d6e9d0549b45841c04"},
{file = "websockets-12.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:6e2df67b8014767d0f785baa98393725739287684b9f8d8a1001eb2839031447"},
{file = "websockets-12.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:bea88d71630c5900690fcb03161ab18f8f244805c59e2e0dc4ffadae0a7ee0ca"},
{file = "websockets-12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dff6cdf35e31d1315790149fee351f9e52978130cef6c87c4b6c9b3baf78bc53"},
{file = "websockets-12.0-cp311-cp311-win32.whl", hash = "sha256:3e3aa8c468af01d70332a382350ee95f6986db479ce7af14d5e81ec52aa2b402"},
{file = "websockets-12.0-cp311-cp311-win_amd64.whl", hash = "sha256:25eb766c8ad27da0f79420b2af4b85d29914ba0edf69f547cc4f06ca6f1d403b"},
{file = "websockets-12.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0e6e2711d5a8e6e482cacb927a49a3d432345dfe7dea8ace7b5790df5932e4df"},
{file = "websockets-12.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:dbcf72a37f0b3316e993e13ecf32f10c0e1259c28ffd0a85cee26e8549595fbc"},
{file = "websockets-12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:12743ab88ab2af1d17dd4acb4645677cb7063ef4db93abffbf164218a5d54c6b"},
{file = "websockets-12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b645f491f3c48d3f8a00d1fce07445fab7347fec54a3e65f0725d730d5b99cb"},
{file = "websockets-12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9893d1aa45a7f8b3bc4510f6ccf8db8c3b62120917af15e3de247f0780294b92"},
{file = "websockets-12.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f38a7b376117ef7aff996e737583172bdf535932c9ca021746573bce40165ed"},
{file = "websockets-12.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:f764ba54e33daf20e167915edc443b6f88956f37fb606449b4a5b10ba42235a5"},
{file = "websockets-12.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:1e4b3f8ea6a9cfa8be8484c9221ec0257508e3a1ec43c36acdefb2a9c3b00aa2"},
{file = "websockets-12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9fdf06fd06c32205a07e47328ab49c40fc1407cdec801d698a7c41167ea45113"},
{file = "websockets-12.0-cp312-cp312-win32.whl", hash = "sha256:baa386875b70cbd81798fa9f71be689c1bf484f65fd6fb08d051a0ee4e79924d"},
{file = "websockets-12.0-cp312-cp312-win_amd64.whl", hash = "sha256:ae0a5da8f35a5be197f328d4727dbcfafa53d1824fac3d96cdd3a642fe09394f"},
{file = "websockets-12.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5f6ffe2c6598f7f7207eef9a1228b6f5c818f9f4d53ee920aacd35cec8110438"},
{file = "websockets-12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9edf3fc590cc2ec20dc9d7a45108b5bbaf21c0d89f9fd3fd1685e223771dc0b2"},
{file = "websockets-12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8572132c7be52632201a35f5e08348137f658e5ffd21f51f94572ca6c05ea81d"},
{file = "websockets-12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:604428d1b87edbf02b233e2c207d7d528460fa978f9e391bd8aaf9c8311de137"},
{file = "websockets-12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1a9d160fd080c6285e202327aba140fc9a0d910b09e423afff4ae5cbbf1c7205"},
{file = "websockets-12.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87b4aafed34653e465eb77b7c93ef058516cb5acf3eb21e42f33928616172def"},
{file = "websockets-12.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b2ee7288b85959797970114deae81ab41b731f19ebcd3bd499ae9ca0e3f1d2c8"},
{file = "websockets-12.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:7fa3d25e81bfe6a89718e9791128398a50dec6d57faf23770787ff441d851967"},
{file = "websockets-12.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a571f035a47212288e3b3519944f6bf4ac7bc7553243e41eac50dd48552b6df7"},
{file = "websockets-12.0-cp38-cp38-win32.whl", hash = "sha256:3c6cc1360c10c17463aadd29dd3af332d4a1adaa8796f6b0e9f9df1fdb0bad62"},
{file = "websockets-12.0-cp38-cp38-win_amd64.whl", hash = "sha256:1bf386089178ea69d720f8db6199a0504a406209a0fc23e603b27b300fdd6892"},
{file = "websockets-12.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:ab3d732ad50a4fbd04a4490ef08acd0517b6ae6b77eb967251f4c263011a990d"},
{file = "websockets-12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a1d9697f3337a89691e3bd8dc56dea45a6f6d975f92e7d5f773bc715c15dde28"},
{file = "websockets-12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1df2fbd2c8a98d38a66f5238484405b8d1d16f929bb7a33ed73e4801222a6f53"},
{file = "websockets-12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23509452b3bc38e3a057382c2e941d5ac2e01e251acce7adc74011d7d8de434c"},
{file = "websockets-12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e5fc14ec6ea568200ea4ef46545073da81900a2b67b3e666f04adf53ad452ec"},
{file = "websockets-12.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46e71dbbd12850224243f5d2aeec90f0aaa0f2dde5aeeb8fc8df21e04d99eff9"},
{file = "websockets-12.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b81f90dcc6c85a9b7f29873beb56c94c85d6f0dac2ea8b60d995bd18bf3e2aae"},
{file = "websockets-12.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:a02413bc474feda2849c59ed2dfb2cddb4cd3d2f03a2fedec51d6e959d9b608b"},
{file = "websockets-12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bbe6013f9f791944ed31ca08b077e26249309639313fff132bfbf3ba105673b9"},
{file = "websockets-12.0-cp39-cp39-win32.whl", hash = "sha256:cbe83a6bbdf207ff0541de01e11904827540aa069293696dd528a6640bd6a5f6"},
{file = "websockets-12.0-cp39-cp39-win_amd64.whl", hash = "sha256:fc4e7fa5414512b481a2483775a8e8be7803a35b30ca805afa4998a84f9fd9e8"},
{file = "websockets-12.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:248d8e2446e13c1d4326e0a6a4e9629cb13a11195051a73acf414812700badbd"},
{file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44069528d45a933997a6fef143030d8ca8042f0dfaad753e2906398290e2870"},
{file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4e37d36f0d19f0a4413d3e18c0d03d0c268ada2061868c1e6f5ab1a6d575077"},
{file = "websockets-12.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d829f975fc2e527a3ef2f9c8f25e553eb7bc779c6665e8e1d52aa22800bb38b"},
{file = "websockets-12.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:2c71bd45a777433dd9113847af751aae36e448bc6b8c361a566cb043eda6ec30"},
{file = "websockets-12.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0bee75f400895aef54157b36ed6d3b308fcab62e5260703add87f44cee9c82a6"},
{file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:423fc1ed29f7512fceb727e2d2aecb952c46aa34895e9ed96071821309951123"},
{file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a5e9964ef509016759f2ef3f2c1e13f403725a5e6a1775555994966a66e931"},
{file = "websockets-12.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3181df4583c4d3994d31fb235dc681d2aaad744fbdbf94c4802485ececdecf2"},
{file = "websockets-12.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b067cb952ce8bf40115f6c19f478dc71c5e719b7fbaa511359795dfd9d1a6468"},
{file = "websockets-12.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:00700340c6c7ab788f176d118775202aadea7602c5cc6be6ae127761c16d6b0b"},
{file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e469d01137942849cff40517c97a30a93ae79917752b34029f0ec72df6b46399"},
{file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffefa1374cd508d633646d51a8e9277763a9b78ae71324183693959cf94635a7"},
{file = "websockets-12.0-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba0cab91b3956dfa9f512147860783a1829a8d905ee218a9837c18f683239611"},
{file = "websockets-12.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2cb388a5bfb56df4d9a406783b7f9dbefb888c09b71629351cc6b036e9259370"},
{file = "websockets-12.0-py3-none-any.whl", hash = "sha256:dc284bbc8d7c78a6c69e0c7325ab46ee5e40bb4d50e494d8131a07ef47500e9e"},
{file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
[[package]]
name = "werkzeug"
chore(deps-dev): bump werkzeug from 3.0.1 to 3.0.3 in /machine-learning (#9480)
2024-05-14 09:37:50 -07:00
version = "3.0.3"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "The comprehensive WSGI web application library."
optional = false
python-versions = ">=3.8"
files = [
chore(deps-dev): bump werkzeug from 3.0.1 to 3.0.3 in /machine-learning (#9480)
2024-05-14 09:37:50 -07:00
{file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"},
{file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
MarkupSafe = ">=2.1.1"
[package.extras]
watchdog = ["watchdog (>=2.3)"]
[[package]]
name = "zope-event"
version = "5.0"
description = "Very basic event publishing system"
optional = false
python-versions = ">=3.7"
files = [
{file = "zope.event-5.0-py3-none-any.whl", hash = "sha256:2832e95014f4db26c47a13fdaef84cef2f4df37e66b59d8f1f4a8f319a632c26"},
{file = "zope.event-5.0.tar.gz", hash = "sha256:bac440d8d9891b4068e2b5a2c5e2c9765a9df762944bda6955f96bb9b91e67cd"},
]
[package.dependencies]
setuptools = "*"
[package.extras]
docs = ["Sphinx"]
test = ["zope.testrunner"]
[[package]]
name = "zope-interface"
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
version = "6.1"
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
description = "Interfaces for Python"
optional = false
python-versions = ">=3.7"
files = [
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
{file = "zope.interface-6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:43b576c34ef0c1f5a4981163b551a8781896f2a37f71b8655fd20b5af0386abb"},
{file = "zope.interface-6.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:67be3ca75012c6e9b109860820a8b6c9a84bfb036fbd1076246b98e56951ca92"},
{file = "zope.interface-6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b9bc671626281f6045ad61d93a60f52fd5e8209b1610972cf0ef1bbe6d808e3"},
{file = "zope.interface-6.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbe81def9cf3e46f16ce01d9bfd8bea595e06505e51b7baf45115c77352675fd"},
{file = "zope.interface-6.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dc998f6de015723196a904045e5a2217f3590b62ea31990672e31fbc5370b41"},
{file = "zope.interface-6.1-cp310-cp310-win_amd64.whl", hash = "sha256:239a4a08525c080ff833560171d23b249f7f4d17fcbf9316ef4159f44997616f"},
{file = "zope.interface-6.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9ffdaa5290422ac0f1688cb8adb1b94ca56cee3ad11f29f2ae301df8aecba7d1"},
{file = "zope.interface-6.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:34c15ca9248f2e095ef2e93af2d633358c5f048c49fbfddf5fdfc47d5e263736"},
{file = "zope.interface-6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b012d023b4fb59183909b45d7f97fb493ef7a46d2838a5e716e3155081894605"},
{file = "zope.interface-6.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:97806e9ca3651588c1baaebb8d0c5ee3db95430b612db354c199b57378312ee8"},
{file = "zope.interface-6.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fddbab55a2473f1d3b8833ec6b7ac31e8211b0aa608df5ab09ce07f3727326de"},
{file = "zope.interface-6.1-cp311-cp311-win_amd64.whl", hash = "sha256:a0da79117952a9a41253696ed3e8b560a425197d4e41634a23b1507efe3273f1"},
{file = "zope.interface-6.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e8bb9c990ca9027b4214fa543fd4025818dc95f8b7abce79d61dc8a2112b561a"},
{file = "zope.interface-6.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b51b64432eed4c0744241e9ce5c70dcfecac866dff720e746d0a9c82f371dfa7"},
{file = "zope.interface-6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa6fd016e9644406d0a61313e50348c706e911dca29736a3266fc9e28ec4ca6d"},
{file = "zope.interface-6.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c8cf55261e15590065039696607f6c9c1aeda700ceee40c70478552d323b3ff"},
{file = "zope.interface-6.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e30506bcb03de8983f78884807e4fd95d8db6e65b69257eea05d13d519b83ac0"},
{file = "zope.interface-6.1-cp312-cp312-win_amd64.whl", hash = "sha256:e33e86fd65f369f10608b08729c8f1c92ec7e0e485964670b4d2633a4812d36b"},
{file = "zope.interface-6.1-cp37-cp37m-macosx_11_0_x86_64.whl", hash = "sha256:2f8d89721834524a813f37fa174bac074ec3d179858e4ad1b7efd4401f8ac45d"},
{file = "zope.interface-6.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13b7d0f2a67eb83c385880489dbb80145e9d344427b4262c49fbf2581677c11c"},
{file = "zope.interface-6.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef43ee91c193f827e49599e824385ec7c7f3cd152d74cb1dfe02cb135f264d83"},
{file = "zope.interface-6.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e441e8b7d587af0414d25e8d05e27040d78581388eed4c54c30c0c91aad3a379"},
{file = "zope.interface-6.1-cp37-cp37m-win_amd64.whl", hash = "sha256:f89b28772fc2562ed9ad871c865f5320ef761a7fcc188a935e21fe8b31a38ca9"},
{file = "zope.interface-6.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:70d2cef1bf529bff41559be2de9d44d47b002f65e17f43c73ddefc92f32bf00f"},
{file = "zope.interface-6.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ad54ed57bdfa3254d23ae04a4b1ce405954969c1b0550cc2d1d2990e8b439de1"},
{file = "zope.interface-6.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef467d86d3cfde8b39ea1b35090208b0447caaabd38405420830f7fd85fbdd56"},
{file = "zope.interface-6.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6af47f10cfc54c2ba2d825220f180cc1e2d4914d783d6fc0cd93d43d7bc1c78b"},
{file = "zope.interface-6.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9559138690e1bd4ea6cd0954d22d1e9251e8025ce9ede5d0af0ceae4a401e43"},
{file = "zope.interface-6.1-cp38-cp38-win_amd64.whl", hash = "sha256:964a7af27379ff4357dad1256d9f215047e70e93009e532d36dcb8909036033d"},
{file = "zope.interface-6.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:387545206c56b0315fbadb0431d5129c797f92dc59e276b3ce82db07ac1c6179"},
{file = "zope.interface-6.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:57d0a8ce40ce440f96a2c77824ee94bf0d0925e6089df7366c2272ccefcb7941"},
{file = "zope.interface-6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ebc4d34e7620c4f0da7bf162c81978fce0ea820e4fa1e8fc40ee763839805f3"},
{file = "zope.interface-6.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a804abc126b33824a44a7aa94f06cd211a18bbf31898ba04bd0924fbe9d282d"},
{file = "zope.interface-6.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f294a15f7723fc0d3b40701ca9b446133ec713eafc1cc6afa7b3d98666ee1ac"},
{file = "zope.interface-6.1-cp39-cp39-win_amd64.whl", hash = "sha256:a41f87bb93b8048fe866fa9e3d0c51e27fe55149035dcf5f43da4b56732c0a40"},
{file = "zope.interface-6.1.tar.gz", hash = "sha256:2fdc7ccbd6eb6b7df5353012fbed6c3c5d04ceaca0038f75e601060e95345309"},
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
]
[package.dependencies]
setuptools = "*"
[package.extras]
feat(ml): export clip models to ONNX and host models on Hugging Face (#4700) * export clip models * export to hf refactored export code * export mclip, general refactoring cleanup * updated conda deps * do transforms with pillow and numpy, add tokenization config to export, general refactoring * moved conda dockerfile, re-added poetry * minor fixes * updated link * updated tests * removed `requirements.txt` from workflow * fixed mimalloc path * removed torchvision * cleaner np typing * review suggestions * update default model name * update test
2023-10-31 03:02:04 -07:00
docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
added locustfile (#2926)
2023-06-25 11:20:45 -07:00
test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
chore(ml): updated dockerfile, added typing, packaging (#2642) * updated dockerfile, added typing, packaging apply env change * added arm64 support * added ml version pump, second try for arm64 * added linting config to pyproject.toml * renamed ml input field * fixed linter config * fixed dev docker compose
2023-06-05 07:40:48 -07:00
[metadata]
lock-version = "2.0"
chore(ml): support python 3.12 (#10481)
2024-06-19 07:51:10 -07:00
python-versions = ">=3.10,<4.0"
chore(ml): remove setuptools from dependencies (#13762)
2024-10-27 10:10:55 -07:00
content-hash = "f95dddfd343a4b2f4d19ffee71ce6b2f5137e5514a60765424164259c4dc1044"
Reference in New Issue Copy Permalink