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pyproject.toml
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pyproject.toml
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[project]
name = "aac-datasets"
authors = [
{name = "Étienne Labbé (Labbeti)", email = "labbeti.pub@gmail.com"},
]
description = "Audio Captioning datasets for PyTorch."
readme = "README.md"
requires-python = ">=3.7"
keywords = ["audio", "deep-learning", "pytorch", "dataset", "caption", "datasets", "captioning", "audio-captioning"]
license = {file = "LICENSE"}
classifiers = [
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Operating System :: POSIX :: Linux",
]
maintainers = [
{name = "Étienne Labbé (Labbeti)", email = "labbeti.pub@gmail.com"},
]
dynamic = ["version", "dependencies", "optional-dependencies"]
[project.urls]
Homepage = "https://pypi.org/project/aac-datasets/"
Documentation = "https://aac-datasets.readthedocs.io/"
Repository = "https://github.com/Labbeti/aac-datasets.git"
Changelog = "https://github.com/Labbeti/aac-datasets/blob/main/CHANGELOG.md"
Tracker = "https://github.com/Labbeti/aac-datasets/issues"
[project.scripts]
aac-datasets = "aac_datasets.__main__:_print_usage"
aac-datasets-check = "aac_datasets.check:_main_check"
aac-datasets-download = "aac_datasets.download:_main_download"
aac-datasets-info = "aac_datasets.info:print_install_info"
[tool.setuptools.packages.find]
where = ["src"] # list of folders that contain the packages (["."] by default)
include = ["aac_datasets*"] # package names should match these glob patterns (["*"] by default)
[tool.setuptools.dynamic]
version = {attr = "aac_datasets.__version__"}
dependencies = {file = ["requirements.txt"]}
optional-dependencies = {dev = { file = ["requirements-dev.txt"] }}