summaryrefslogtreecommitdiff
blob: 4dcfc26c05d65cc89efaf50a73b09404419845f2 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
DEFINED_PHASES=compile configure install prepare setup test unpack
DEPEND=dev-python/setuptools[python_targets_python2_7(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-)] lapack? ( virtual/cblas virtual/lapack ) doc? ( app-arch/unzip ) lapack? ( virtual/pkgconfig ) test? ( dev-python/nose[python_targets_python2_7(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-)] ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7[threads(+)] ) python_targets_python3_4? ( dev-lang/python:3.4[threads(+)] ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-)] lapack? ( virtual/fortran )
DESCRIPTION=Fast array and numerical python library
EAPI=5
HOMEPAGE=http://numpy.scipy.org/
IUSE=doc lapack test python_targets_python2_7 python_targets_python3_4
KEYWORDS=~alpha ~amd64 ~arm ~arm64 ~hppa ~ia64 ~mips ~ppc ~ppc64 ~s390 ~sh ~sparc ~x86 ~amd64-fbsd ~x86-fbsd ~amd64-linux ~arm-linux ~x86-linux ~ppc-macos ~x64-macos ~x86-macos ~sparc-solaris ~x64-solaris ~x86-solaris
LICENSE=BSD
RDEPEND=dev-python/setuptools[python_targets_python2_7(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-)] lapack? ( virtual/cblas virtual/lapack ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7[threads(+)] ) python_targets_python3_4? ( dev-lang/python:3.4[threads(+)] ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-)] lapack? ( virtual/fortran )
REQUIRED_USE=|| ( python_targets_python2_7 python_targets_python3_4 )
SLOT=0
SRC_URI=mirror://pypi/n/numpy/numpy-1.8.2.tar.gz doc? ( http://docs.scipy.org/doc/numpy-1.8.1/numpy-html-1.8.1.zip http://docs.scipy.org/doc/numpy-1.8.1/numpy-ref-1.8.1.pdf http://docs.scipy.org/doc/numpy-1.8.1/numpy-user-1.8.1.pdf )
_eclasses_=desktop	2ccd1dd1dd7bfb8795eea024a4f91bb6	distutils-r1	c25bafd988acc946bfa457eac09621d8	epatch	9a5f039771f143195164a15a4faa41a1	estack	43ddf5aaffa7a8d0482df54d25a66a1f	eutils	63392afb034aad67f17fa129019eb4d9	flag-o-matic	5128c4729303400bd8d4b0b966530955	fortran-2	9e7f20c99213f0627ff7f873d4aaa25d	ltprune	607e058da37aa6dabfa408b7d61da72e	multibuild	72647e255187a1fadc81097b3657e5c3	multilib	97f470f374f2e94ccab04a2fb21d811e	multiprocessing	cac3169468f893670dac3e7cb940e045	preserve-libs	ef207dc62baddfddfd39a164d9797648	python-r1	e9350ec46bb5c9f3504b4fbe8b8d8987	python-utils-r1	c9de01becf9df3f8c10aeec3dc693f5d	toolchain-funcs	885c7d8dd70a58825f3d17e35a3cd1e9	vcs-clean	2a0f74a496fa2b1552c4f3398258b7bf	versionator	26ca8a8bd95d6a74122c08ba98a4ee72	xdg-utils	f2c8335407f0b935b0a96d4adf23ef25
_md5_=544d9e725bc04c36bebd7289ec49d6a3