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DEFINED_PHASES=compile configure install prepare setup test
DEPEND=test? ( >=dev-python/numpy-1.6[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-),lapack] >=dev-python/matplotlib-1.0[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] dev-python/nose[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] dev-python/setuptools[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] virtual/fortran
DESCRIPTION=Markov Chain Monte Carlo sampling toolkit
EAPI=6
HOMEPAGE=https://github.com/pymc-devs/pymc https://pypi.org/project/pymc
IUSE=test python_targets_python2_7 python_targets_python3_6
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=AFL-3.0
RDEPEND=>=dev-python/numpy-1.6[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-),lapack] >=dev-python/matplotlib-1.0[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] virtual/fortran
REQUIRED_USE=|| ( python_targets_python2_7 python_targets_python3_6 )
RESTRICT=!test? ( test )
SLOT=0
SRC_URI=mirror://pypi/p/pymc/pymc-2.3.6.zip
_eclasses_=desktop	b1d22ac8bdd4679ab79c71aca235009d	distutils-r1	48c123e514b2cd2128d36eb3bbb9a6fa	epatch	a1bf4756dba418a7238f3be0cb010c54	estack	686eaab303305a908fd57b2fd7617800	eutils	fcb2aa98e1948b835b5ae66ca52868c5	flag-o-matic	cabe101302b461f32ecbc3767dfb9e23	fortran-2	f75a2d9321053acf424991e805f32ede	ltprune	2729691420b6deeda2a90b1f1183fb55	multibuild	40fe59465edacd730c644ec2bc197809	multilib	1d91b03d42ab6308b5f4f6b598ed110e	multiprocessing	cac3169468f893670dac3e7cb940e045	preserve-libs	ef207dc62baddfddfd39a164d9797648	python-r1	4eed5e0c72d4544a2291ae46515f5d79	python-utils-r1	611c493a4cfef5254350fabc04b606f5	toolchain-funcs	512eb3367f507ebaa1d1d43ab7d66e6c	vcs-clean	2a0f74a496fa2b1552c4f3398258b7bf	xdg-utils	ff2ff954e6b17929574eee4efc5152ba
_md5_=f5c0f0522631710e40d915b3003d6ed2