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poetry.lock
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# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "2.1.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
optional = true
python-versions = ">=3.7"
files = [
{file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
{file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
]
[[package]]
name = "adversarial-robustness-toolbox"
version = "1.18.1"
description = "Toolbox for adversarial machine learning."
optional = false
python-versions = "*"
files = [
{file = "adversarial-robustness-toolbox-1.18.1.tar.gz", hash = "sha256:f5f5217d13b5a2946b39ac84ef7a34de5a4266b923253264e0846be2a83a33e0"},
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]
[package.dependencies]
numpy = ">=1.18.0"
scikit-learn = ">=0.22.2"
scipy = ">=1.4.1"
setuptools = "*"
six = "*"
tqdm = "*"
[package.extras]
all = ["Pillow", "catboost", "cma", "ffmpeg-python", "h5py", "kornia", "librosa", "lightgbm", "matplotlib", "mxnet", "numba", "opencv-python", "pandas", "pydub", "resampy", "statsmodels", "tensorflow", "tensorflow-addons", "torch", "torchvision", "xgboost"]
catboost = ["catboost"]
docs = ["Pillow (>=6.0.0)", "matplotlib", "numpy (>=1.18.0)", "scikit-learn (>=0.22.2)", "scipy (>=1.4.1)", "six (>=1.13.0)", "sphinx (>=1.4)", "sphinx-autodoc-annotation", "sphinx-autodoc-typehints", "sphinx-rtd-theme"]
gpy = ["GPy"]
keras = ["h5py", "keras"]
lightgbm = ["lightgbm"]
lingvo-asr = ["librosa", "lingvo (==0.6.4)", "pydub", "resampy", "tensorflow-gpu (==2.1.0)"]
mxnet = ["mxnet"]
non-framework = ["Pillow", "cma", "ffmpeg-python", "librosa", "matplotlib", "multiprocess", "numba", "opencv-python", "pandas", "pydub", "pytest", "pytest-cov", "pytest-flake8", "pytest-mock", "requests", "resampy", "sortedcontainers", "statsmodels", "timm"]
pytorch = ["torch", "torchvision"]
pytorch-audio = ["librosa", "pydub", "resampy", "torch", "torchaudio", "torchvision"]
pytorch-image = ["Pillow", "ffmpeg-python", "kornia", "opencv-python", "torch", "torchvision"]
tensorflow = ["h5py", "tensorflow", "tensorflow-addons"]
tensorflow-audio = ["h5py", "librosa", "pydub", "resampy", "tensorflow", "tensorflow-addons"]
tensorflow-image = ["Pillow", "ffmpeg-python", "h5py", "opencv-python", "tensorflow", "tensorflow-addons"]
xgboost = ["xgboost"]
[[package]]
name = "aiohappyeyeballs"
version = "2.3.5"
description = "Happy Eyeballs for asyncio"
optional = true
python-versions = ">=3.8"
files = [
{file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
{file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
]
[[package]]
name = "aiohttp"
version = "3.10.3"
description = "Async http client/server framework (asyncio)"
optional = true
python-versions = ">=3.8"
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