gentoo-full-overlay/metadata/md5-cache/sci-chemistry/prody-1.6

14 lines
2.2 KiB
Groff

DEFINED_PHASES=compile configure install prepare test
DEPEND=dev-python/ipython[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/matplotlib[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >=dev-python/numpy-1.7[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/pyparsing[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] sci-biology/biopython[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] sci-libs/scipy[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] test? ( dev-python/nose[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,-python_single_target_python2_7(-)]
DESCRIPTION=Protein Dynamics Analysis
EAPI=5
HOMEPAGE=http://prody.csb.pitt.edu/ https://github.com/prody/ProDy
IUSE=test python_targets_python2_7
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=MIT
RDEPEND=dev-python/ipython[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/matplotlib[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >=dev-python/numpy-1.7[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/pyparsing[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] sci-biology/biopython[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] sci-libs/scipy[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,-python_single_target_python2_7(-)]
REQUIRED_USE=|| ( python_targets_python2_7 )
SLOT=0
SRC_URI=https://github.com/prody/ProDy/archive/v1.6.tar.gz -> prody-1.6.tar.gz
_eclasses_=distutils-r1 46506dd0dd992b3c89b0d00daabfd86c eutils 8644194de7be04932084752fb1327080 multibuild ce2c2ede0c914b77f5dfc4e2ff2d0249 multilib df4e4d5cfd3d137d0c248e1991c0e4d6 multiprocessing d769539d9bace6eaca30af23bc2b4dde python-r1 fb656e31d5596be6ac85cde42dccfcb6 python-utils-r1 8e7c81d776e0d31ec4e48f87aec4b975 toolchain-funcs 7a212e5e01adfa4805c9978366e6ee85
_md5_=1324b450bdc4ca41b247dc233f233736