[tool.poetry]
name = "spleeter"
version = "2.3.0"
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 :: 3.6",
    "Programming Language :: Python :: 3.7",
    "Programming Language :: Python :: 3.8",
    "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 = ">=3.6.1,<3.10"
ffmpeg-python = "0.2.0"
norbert = "0.2.1"
httpx = {extras = ["http2"], version = "^0.19.0"}
typer = "^0.3.2"
librosa = "0.8.0"
musdb = {version = "0.3.1", optional = true}
museval = {version = "0.3.0", optional = true}
tensorflow = "2.5.0"
pandas = "^1.1.2"
numpy = "<1.20.0,>=1.16.0"
importlib-resources = {version = "^4.1.1", python = "<3.7"}
importlib-metadata = {version = "^3.0.0", python = "<3.8"}
llvmlite = "^0.36.0"

[tool.poetry.dev-dependencies]
pytest = "^6.2.1"
isort = "^5.7.0"
black = "^20.8b1"
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"