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gentoo-overlay/metadata/md5-cache/sci-chemistry/propka-3.2.0

16 lines
1.9 KiB

BDEPEND=test? ( dev-python/numpy[python_targets_python3_7(-)?,python_targets_python3_8(-)?,-python_single_target_python3_7(-),-python_single_target_python3_8(-)] dev-python/pandas[python_targets_python3_7(-)?,python_targets_python3_8(-)?,-python_single_target_python3_7(-),-python_single_target_python3_8(-)] ) python_targets_python3_7? ( dev-lang/python:3.7 ) python_targets_python3_8? ( dev-lang/python:3.8 ) >=dev-lang/python-exec-2:=[python_targets_python3_7(-)?,python_targets_python3_8(-)?,-python_single_target_python3_7(-),-python_single_target_python3_8(-)] >=dev-python/setuptools-42.0.2[python_targets_python3_7(-)?,python_targets_python3_8(-)?,-python_single_target_python3_7(-),-python_single_target_python3_8(-)]
DEFINED_PHASES=compile configure install prepare test
DESCRIPTION=pKa-value prediction of ionizable groups in protein and protein-ligand complexes
EAPI=7
HOMEPAGE=https://github.com/jensengroup/propka
IUSE=test python_targets_python3_7 python_targets_python3_8
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=LGPL-2.1
RDEPEND=dev-python/numpy[python_targets_python3_7(-)?,python_targets_python3_8(-)?,-python_single_target_python3_7(-),-python_single_target_python3_8(-)] python_targets_python3_7? ( dev-lang/python:3.7 ) python_targets_python3_8? ( dev-lang/python:3.8 ) >=dev-lang/python-exec-2:=[python_targets_python3_7(-)?,python_targets_python3_8(-)?,-python_single_target_python3_7(-),-python_single_target_python3_8(-)]
REQUIRED_USE=|| ( python_targets_python3_7 python_targets_python3_8 )
RESTRICT=!test? ( test )
SLOT=0
SRC_URI=mirror://pypi/p/propka/propka-3.2.0.tar.gz
_eclasses_=distutils-r1 6492ae184ebb9d8124e5e0b23db93433 multibuild b2c915190b051f55a23b9354b9849847 multilib d410501a125f99ffb560b0c523cd3d1e multiprocessing cac3169468f893670dac3e7cb940e045 python-r1 8d03325e7e3cf3e1465d9c32031e2517 python-utils-r1 e41e32d357e5bdd388b5be2ce24f3883 toolchain-funcs 605c126bed8d87e4378d5ff1645330cb
_md5_=bd048f5978b21207dd0a67d80964171d