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poetry.lock
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "accelerate"
version = "0.29.3"
description = "Accelerate"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "accelerate-0.29.3-py3-none-any.whl", hash = "sha256:99d633d4b6126817c5e554487406748be95c8d1d1e659dd2fd60657e35f532dd"},
{file = "accelerate-0.29.3.tar.gz", hash = "sha256:1a5a845b06b24b41736b219b2b20fd021ca5dff4070a252445fd6de736e347ac"},
]
[package.dependencies]
huggingface-hub = "*"
numpy = ">=1.17"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
safetensors = ">=0.3.1"
torch = ">=1.10.0"
[package.extras]
dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "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", "deepspeed", "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", "deepspeed", "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 = "aiohttp"
version = "3.9.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
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