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Your Name 2017-06-25 23:15:15 +02:00
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packages/dev-python/numpy/Manifest Normal file
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DIST hasufell-binhost--dev-python--numpy-1.12.1--C.24211.1498425296.238008.C.tar.bz2 9441630 SHA256 dc7f05991f84f1b0507b9c5f4e836eadbb42b9a4c67cadc0e286357dc078c247 SHA512 02cf916a6846b132a2f0d16584d6944ce07870b6c5274bbc332401c772093fb8de52a100acbaf13504087cb36c83bfb0e5db71141e943cfc6302de148abe6fd8 WHIRLPOOL 95b2e589561653ffe903132e48900a07ab356e71e4f6c3d41b278e2b9a2f6f24188dcd8d133299711c6a080899ea2c0cfa185b31149878d3679481b80809eb88
PBIN numpy-1.12.1.pbin-1+exheres-0 3178 SHA256 08b8a0884fa90156b6a8b173b82f1f27405644c6631c6e02d1dae64822c391f2 SHA512 5246bcea610ade819737d7a3ed82e5b963b1672ecfd2712623b236965a90c7d2266b6e1c546dd630e08c97cd5c263a913b03ccbb26b50f366352deb007847aad WHIRLPOOL cf5b558088b629c0be7f8f0e7d5feff8011fb33b1269ec6aaa3b1602e65cd1883553b0872c0fcc25c4ca80bd8187d05d0147cbedcdfb9e62364b14b8e91d9d1d

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packages/dev-python/numpy/numpy-1.12.1.pbin-1+exheres-0 Normal file
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# Created by paludis-3.0.0 on Sun Jun 25 23:15:00 CEST 2017
CHOST="x86_64-pc-linux-gnu"
DEPENDENCIES="( build+run: python_abis:2.7? ( dev-lang/python:2.7 ) python_abis:3.4? ( dev-lang/python:3.4 ) python_abis:3.5? ( dev-lang/python:3.5 ) python_abis:3.6? ( dev-lang/python:3.6 ) ) [[ defined-in = [ python.exlib ] ]] ( build+run: sys-libs/libgfortran:=6 virtual/blas virtual/lapack test: dev-python/nose[python_abis:*(-)?] ) [[ defined-in = [ numpy.exlib ] ]]"
DESCRIPTION=" NumPy is the fundamental package needed for scientific computing with Python. It contains: * a powerful N-dimensional array object * sophisticated broadcasting functions * basic linear algebra functions * basic Fourier transforms * sophisticated random number capabilities * tools for integrating Fortran code * tools for integrating C/C++ code Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases."
EAPI="pbin-1+exheres-0"
HOMEPAGE="https://github.com/numpy/numpy http://numpy.scipy.org"
INHERITED=" pypi flag-o-matic github multibuild easy-multibuild python setup-py numpy"
MYOPTIONS="( ( ( python_abis: ( 2.7 [[ description = [ Use Python ABI 2.7 ] ]] 3.4 [[ description = [ Use Python ABI 3.4 ] ]] 3.5 [[ description = [ Use Python ABI 3.5 ] ]] 3.6 [[ description = [ Use Python ABI 3.6 ] ]] ) [[ number-selected = [ at-least-one ] ]] ) ) [[ defined-in = [ python.exlib ] ]] ) "
PLATFORMS="~amd64 ~x86"
LICENCES="BSD-3"
SLOT="0"
DOWNLOADS="https://github.com/numpy/numpy/releases/download/v1.12.1/numpy-1.12.1.tar.gz"
OPTIONS="python_abis:2.7 python_abis:3.5 "
GENERATED_USING="paludis-3.0.0"
GENERATED_TIME="1498425300"
SUBOPTIONS="AMD64_CPU_FEATURES ANT_DATA_TYPES ANT_SCRIPTING ANT_TASKS APACHE_MODULES ARM_CPU_FEATURES COCKPIT_COMPONENTS CONTRIB_MODULES COURIER_MODULES ENCODINGS EPIPHANY_EXTENSIONS EXTENSIONS FPRINT_DRIVERS GCC_VERSION GIT_REMOTE_HELPERS GSTREAMER_PLUGINS IM_PROTOCOLS INPUT_DRIVERS KDE_PARTS KIPI_PLUGINS KOPETE_PLUGINS LIBC LINGUAS LUA_ABIS MODULES MULTIBUILD_C NGINX_MODULES NUT_DRIVERS P2P_NETWORKS PCSC_DRIVERS PHP_ABIS PHP_EXTENSIONS PLATFORM PLUGINS POSTGRESQL_EXTENSIONS PROVIDERS PYTHON_ABIS RUBY_ABIS TARGETS VALA_ABIS VIDEO_DRIVERS X86_CPU_FEATURES"
HIDDEN_SUBOPTIONS="ARM_CPU_FEATURES LIBC MULTIBUILD_C PLATFORM X86_CPU_FEATURES"
ASFLAGS=""
CBUILD=""
CC="x86_64-pc-linux-gnu-cc"
CFLAGS="-march=native -pipe -O2"
CHOST="x86_64-pc-linux-gnu"
CTARGET=""
CXX="x86_64-pc-linux-gnu-c++"
CXXFLAGS="-march=native -pipe -O2"
LDFLAGS="-Wl,-O1 -Wl,--as-needed -Wl,--hash-style=gnu -shared -shared"
LIBCXXFLAGS=""
GENERATED_FROM_REPOSITORY="python"
PLATFORMS="~amd64 ~x86"
BINARY_PLATFORMS="~amd64"
BINARY_URI="mirror://hasufell-binhost/hasufell-binhost--dev-python--numpy-1.12.1--C.24211.1498425296.238008.C.tar.bz2"
SUMMARY="Fast and sophisticated array facility for the Python language"
BUGS_TO=""
REMOTE_IDS=" pypi:numpy github:numpy/numpy "
UPSTREAM_CHANGELOG=""
UPSTREAM_RELEASE_NOTES=""
UPSTREAM_DOCUMENTATION="http://docs.scipy.org/doc/numpy [[ lang = en ]]"
SCM_REVISION=""