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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "spleeter"
version = "2.3.2"
description = "The Deezer source separation library with pretrained models based on tensorflow."
authors = ["Deezer Research <spleeter@deezer.com>"]
license = "MIT License"
readme = "README.md"
repository = "https://github.com/deezer/spleeter"
homepage = "https://github.com/deezer/spleeter"
classifiers = [
"Environment :: Console",
"Environment :: MacOS X",
"Intended Audience :: Developers",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Operating System :: Unix",
"Programming Language :: Python",
"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 :: Only",
"Programming Language :: Python :: Implementation :: CPython",
"Topic :: Artistic Software",
"Topic :: Multimedia",
"Topic :: Multimedia :: Sound/Audio",
"Topic :: Multimedia :: Sound/Audio :: Analysis",
"Topic :: Multimedia :: Sound/Audio :: Conversion",
"Topic :: Multimedia :: Sound/Audio :: Sound Synthesis",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Utilities"
]
packages = [ { include = "spleeter" } ]
include = ["LICENSE", "spleeter/resources/*.json"]
[tool.poetry.dependencies]
python = ">=3.7.1,<3.11"
ffmpeg-python = "0.2.0"
norbert = "0.2.1"
httpx = {extras = ["http2"], version = "^0.19.0"}
typer = "0.4.2"
click = "8.1.3"
cffi = "1.15.1"
librosa = "0.8.1"
musdb = {version = "0.3.1", optional = true}
museval = {version = "0.3.0", optional = true}
tensorflow-macos = "2.9.0"
tensorflow-metal = "0.5.0"
scikit-learn= "1.1.0"
pandas = "1.5.2"
numpy = "1.23.5"
importlib-resources = {version = "^4.1.1", python = "3.9"}
importlib-metadata = {version = "6.0.0", python = "3.9"}
protobuf = "3.19.6"
[tool.poetry.dev-dependencies]
pytest = "^6.2.1"
isort = "^5.7.0"
black = "^21.7"
mypy = "^0.790"
pytest-forked = "^1.3.0"
musdb = "0.3.1"
museval = "0.3.0"
[tool.poetry.scripts]
spleeter = 'spleeter.__main__:entrypoint'
[tool.poetry.extras]
evaluation = ["musdb", "museval"]
[tool.isort]
profile = "black"
multi_line_output = 3
[tool.pytest.ini_options]
addopts = "-W ignore::FutureWarning -W ignore::DeprecationWarning -vv --forked"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"