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packages/dev-python/numpy/Manifest
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packages/dev-python/numpy/Manifest
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DIST hasufell-binhost--dev-python--numpy-1.9.2-r2--C.6533.1471199782.771804.C.tar.bz2 11573033 SHA256 c58a16ac8ac37c7f62f771bde37c3cec2afb7caf9abfbf90ea7a0a2204f06899 SHA512 83fae19f1258b31fd4db1f72993a40fb68b472262206b041c7f8060f242c87cd75051f8ba36613fa9120161763d323b7b3d425157a3e0b88c2131236d28b39aa WHIRLPOOL bd708e382cba91d318bb963a0498ac43b6ae9d6f898a13701e1067ddbe51c1e8c0baa09d1927b2cb6d8f26f5280745064f2e1bc476929304e8cf817b5cb0fe9b
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PBIN numpy-1.9.2-r2.pbin-1+exheres-0 3228 SHA256 ff54f9f65b3f12fe2f7e29da6d515e50ee67f9bfbd9eb20ad3b8fb21414e585f SHA512 acf77ecfc282969b66c1912f3ce709f90f5c88bd54adde1d3c3515e18713de3dd1720011ee36512967596477ce7fed9563ff0ef7c83e07e046503969aab23b55 WHIRLPOOL 1dab5b0c396c4a298cb1fb45a3926fce3895daca5b18df8cd2b43fdacdbced8cb537009cf142df328abeed11be55794786b3982da0eba61186804606f5b87336
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packages/dev-python/numpy/numpy-1.9.2-r2.pbin-1+exheres-0
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packages/dev-python/numpy/numpy-1.9.2-r2.pbin-1+exheres-0
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# Created by paludis-2.6.0-git-2.6.0-13-g7d83832 on Sun Aug 14 20:36:28 CEST 2016
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CHOST="x86_64-pc-linux-gnu"
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DEPENDENCIES="( build+run: python_abis:2.7? ( dev-lang/python:2.7 ) python_abis:3.3? ( dev-lang/python:3.3 ) python_abis:3.4? ( dev-lang/python:3.4 ) python_abis:3.5? ( dev-lang/python:3.5 ) ) [[ defined-in = [ python.exlib ] ]] ( build+run: sys-libs/libgfortran:=5.1 virtual/blas virtual/lapack test: dev-python/nose[python_abis:*(-)?] ) [[ defined-in = [ numpy.exlib ] ]]"
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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."
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EAPI="pbin-1+exheres-0"
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HOMEPAGE="https://pypi.python.org/pypi/numpy/ http://numpy.scipy.org"
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INHERITED=" pypi sourceforge flag-o-matic multibuild easy-multibuild python setup-py numpy"
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MYOPTIONS="( ( ( python_abis: ( 2.7 [[ description = [ Use Python ABI 2.7 ] ]] 3.3 [[ description = [ Use Python ABI 3.3 ] ]] 3.4 [[ description = [ Use Python ABI 3.4 ] ]] 3.5 [[ description = [ Use Python ABI 3.5 ] ]] ) [[ number-selected = [ at-least-one ] ]] ) ) [[ defined-in = [ python.exlib ] ]] ) "
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PLATFORMS="~amd64 ~x86"
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LICENCES="BSD-3"
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SLOT="0"
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DOWNLOADS="https://files.pythonhosted.org/packages/source/n/numpy/numpy-1.9.2.tar.gz"
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OPTIONS="python_abis:2.7 python_abis:3.4 python_abis:3.5 "
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GENERATED_USING="paludis-2.6.0-git-2.6.0-13-g7d83832"
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GENERATED_TIME="1471199788"
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SUBOPTIONS="AMD64_CPU_FEATURES ANT_DATA_TYPES ANT_SCRIPTING ANT_TASKS APACHE_MODULES ARM_CPU_FEATURES 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"
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HIDDEN_SUBOPTIONS="ARM_CPU_FEATURES LIBC MULTIBUILD_C PLATFORM X86_CPU_FEATURES"
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ASFLAGS=""
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CBUILD=""
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CC="x86_64-pc-linux-gnu-cc"
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CFLAGS="-march=core2 -pipe -O2"
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CHOST="x86_64-pc-linux-gnu"
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CTARGET=""
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CXX="x86_64-pc-linux-gnu-c++"
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CXXFLAGS="-march=core2 -pipe -O2"
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LDFLAGS="-Wl,-O1 -Wl,--as-needed -Wl,--hash-style=gnu -shared -shared -shared"
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LIBCXXFLAGS=""
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GENERATED_FROM_REPOSITORY="python"
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PLATFORMS="~amd64 ~x86"
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BINARY_PLATFORMS="~amd64"
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BINARY_URI="mirror://hasufell-binhost/hasufell-binhost--dev-python--numpy-1.9.2-r2--C.6533.1471199782.771804.C.tar.bz2"
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SUMMARY="Fast and sophisticated array facility for the Python language"
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BUGS_TO=""
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REMOTE_IDS=" pypi:numpy sourceforge:numpy pypi:numpy"
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UPSTREAM_CHANGELOG=""
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UPSTREAM_RELEASE_NOTES=""
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UPSTREAM_DOCUMENTATION="http://docs.scipy.org/doc/numpy [[ lang = en ]]"
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SCM_REVISION=""
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