wehub-resource-sync
46 lines
1.9 KiB
TOML
46 lines
1.9 KiB
TOML
[build-system]
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requires = ["setuptools>=64"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "fastai"
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dynamic = ["version"]
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description = "fastai simplifies training fast and accurate neural nets using modern best practices"
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readme = "README.md"
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requires-python = ">=3.10"
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license = {text = "Apache-2.0"}
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authors = [{name = "Jeremy Howard, Sylvain Gugger, and contributors", email = "info@fast.ai"}]
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keywords = ['fastai,', 'deep', 'learning,', 'machine', 'learning']
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classifiers = ["Natural Language :: English", "Intended Audience :: Developers", "Development Status :: 4 - Beta", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only"]
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dependencies = ['fastdownload>=0.0.5,<2', 'fastcore>=1.14.6', 'fasttransform>=0.0.2', 'torchvision>=0.11', 'matplotlib', 'pandas', 'requests', 'pyyaml', 'fastprogress>=0.2.4', 'pillow>=9.0.0', 'scikit-learn', 'scipy', 'spacy<4', 'packaging', 'plum-dispatch', 'cloudpickle', 'torch>=1.10,<3']
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[project.urls]
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Repository = "https://github.com/fastai/fastai"
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Documentation = "https://docs.fast.ai/"
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[project.entry-points.nbdev]
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fastai = "fastai._modidx:d"
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[project.optional-dependencies]
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dev = ['nbdev', 'ipywidgets', 'lightning', 'pytorch-ignite', 'transformers', 'sentencepiece', 'tensorboard', 'pydicom', 'catalyst', 'flask_compress', 'captum>=0.4.1,<=0.8.0', 'flask', 'wandb', 'kornia', 'scikit-image', 'comet_ml', 'albumentations', 'opencv-python', 'pyarrow', 'ninja', 'timm>=0.9', 'accelerate>=0.21', 'ipykernel']
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[project.scripts]
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configure_accelerate = "fastai.distributed:configure_accelerate"
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[tool.setuptools.dynamic]
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version = {attr = "fastai.__version__"}
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[tool.setuptools.packages.find]
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include = ["fastai"]
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[tool.nbdev]
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allowed_metadata_keys = ['solveit']
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allowed_cell_metadata_keys = ['solveit_ai']
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tst_flags = ['slow', 'cpp', 'cuda', 'multicuda']
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jupyter_hooks = true
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custom_sidebar = true
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[tool.chkstyle]
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skip_paths = ["_modidx.py"]
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