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poetry.lock
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# This file is automatically @generated by Poetry and should not be changed by hand.
[[package]]
name = "accelerate"
version = "0.33.0"
description = "Accelerate"
category = "main"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "accelerate-0.33.0-py3-none-any.whl", hash = "sha256:0a7f33d60ba09afabd028d4f0856dd19c5a734b7a596d637d9dd6e3d0eadbaf3"},
{file = "accelerate-0.33.0.tar.gz", hash = "sha256:11ba481ed6ea09191775df55ce464aeeba67a024bd0261a44b77b30fb439e26a"},
]
[package.dependencies]
huggingface-hub = ">=0.21.0"
numpy = ">=1.17,<2.0.0"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
safetensors = ">=0.3.1"
torch = ">=1.10.0"
[package.extras]
deepspeed = ["deepspeed (<=0.14.0)"]
dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
[[package]]
name = "bitsandbytes"
version = "0.43.3"
description = "k-bit optimizers and matrix multiplication routines."
category = "main"
optional = false
python-versions = "*"
files = [
{file = "bitsandbytes-0.43.3-py3-none-manylinux_2_24_x86_64.whl", hash = "sha256:cc99507c352be0715098b2c7577b690dd158972dc4ea10c7495bac104c7c79f0"},
{file = "bitsandbytes-0.43.3-py3-none-win_amd64.whl", hash = "sha256:257f6552f2144748a84e6c44e1f7a98f3da888f675ed74e18fd7f7eb13c6cafa"},
]
[package.dependencies]
numpy = "*"
torch = "*"
[package.extras]
benchmark = ["matplotlib", "pandas"]
test = ["scipy"]
[[package]]
name = "cachetools"
version = "5.3.3"
description = "Extensible memoizing collections and decorators"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
{file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
{file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
]
[[package]]
name = "catkin-pkg"
version = "1.0.0"
description = "catkin package library"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "catkin_pkg-1.0.0-py3-none-any.whl", hash = "sha256:10a6589e9edf3cd5bd18e35e094d20b516e6351bcf0da891c28a0ff526fdb7cc"},
{file = "catkin_pkg-1.0.0.tar.gz", hash = "sha256:476e9f52917282f464739241b4bcaf5ebbfba9a7a68d9af8f875225feac0e1b5"},
]
[package.dependencies]
docutils = "*"
pyparsing = "*"
python-dateutil = "*"
setuptools = "*"
[package.extras]
test = ["flake8", "flake8-blind-except", "flake8-builtins", "flake8-class-newline", "flake8-comprehensions", "flake8-deprecated", "flake8-docstrings", "flake8-import-order", "flake8-quotes", "pytest"]
[[package]]
name = "certifi"
version = "2024.7.4"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
{file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
]
[[package]]
name = "chardet"
version = "5.2.0"
description = "Universal encoding detector for Python 3"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
{file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
{file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
]
[[package]]
name = "charset-normalizer"
version = "3.3.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "main"
optional = false
python-versions = ">=3.7.0"
files = [
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