BDEPEND=<dev-python/ffmpeg-python-0.3.0[python_targets_python3_10(-)?] <dev-python/httpx-0.20.0[python_targets_python3_10(-)?] dev-python/typer[python_targets_python3_10(-)?] evaluation? ( dev-python/musdb[python_targets_python3_10(-)?] ) evaluation? ( dev-python/museval[python_targets_python3_10(-)?] ) dev-python/tensorflow[python_targets_python3_10(-)?] <dev-python/pandas-2.0.0[python_targets_python3_10(-)?] dev-python/norbert[python_targets_python3_10(-)?] python_targets_python3_10? ( dev-lang/python:3.10 ) >=dev-python/gpep517-15[python_targets_python3_10(-)?]
DEFINED_PHASES=compile configure install prepare test unpack
DESCRIPTION=The Deezer source separation library with pretrained models based on tensorflow.
EAPI=8
HOMEPAGE=https://github.com/deezer/spleeter
INHERIT=python-r1 gs-pypi
IUSE=evaluation python_targets_python3_10
KEYWORDS=~amd64 ~x86
LICENSE=MIT
RDEPEND=<dev-python/ffmpeg-python-0.3.0[python_targets_python3_10(-)?] <dev-python/httpx-0.20.0[python_targets_python3_10(-)?] dev-python/typer[python_targets_python3_10(-)?] evaluation? ( dev-python/musdb[python_targets_python3_10(-)?] ) evaluation? ( dev-python/museval[python_targets_python3_10(-)?] ) dev-python/tensorflow[python_targets_python3_10(-)?] <dev-python/pandas-2.0.0[python_targets_python3_10(-)?] dev-python/norbert[python_targets_python3_10(-)?] python_targets_python3_10? ( dev-lang/python:3.10 )
REQUIRED_USE=|| ( python_targets_python3_10 )
RESTRICT=test
SLOT=0
SRC_URI=https://files.pythonhosted.org/packages/source/s/spleeter/spleeter-2.4.0.tar.gz
_eclasses_=out-of-source-utils	1a9007554652a6e627edbccb3c25a439	multibuild	d67e78a235f541871c7dfe4cf7931489	multiprocessing	30ead54fa2e2b5f9cd4e612ffc34d0fe	toolchain-funcs	e56c7649b804f051623c8bc1a1c44084	multilib	c19072c3cd7ac5cb21de013f7e9832e0	python-utils-r1	042f4cc53680245bf99a84669b94155a	python-r1	8a28fa6d3e3bc96ff8a7eff2badbe71f	flag-o-matic	24c947ff5f858625cf0b33c15eed4425	ninja-utils	2df4e452cea39a9ec8fb543ce059f8d6	gs-distutils-r1	8d3844b6b903f08bc4e83bd198f8a72f	g-sorcery	692c9ad583c66d03e7c0e8b3b106a435	gs-pypi	1ce6ce880db2f1f1e7842a13bd058366
_md5_=a2f4833d37e20f2d373fc81c6375dc5d