Added numpy wity Python 2.7 support.
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parent
889f3ba42e
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dev-python/numpy/Manifest
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dev-python/numpy/Manifest
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AUX numpy-1.17.4-no-hardcode-blasv2.patch 2420 BLAKE2B e4c0058b1226fced2c38caf67b2843021c6f42773781668a556eb48d7038acd0b1c7cbf30a432fdc3f4d2abf8eef28df7102be1bc9669a4ddc4ee4fc5e239d68 SHA512 9c6dc7e4f5b28b24ac5e1c686066c973b218b0e4e07b500a52c8b3e247acb150714072d17dd1a8579f47c48e9776bddebf9f049616aca52e0325c8f09ef09dad
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DIST numpy-1.19.0.zip 7296082 BLAKE2B e388a1b8aa8fa5e23b57c69c5aa5f2b7b286a69fca6007843adbfa374d541ace7875757a302e851bc41194f565390b52777fff13da8166e7a2c6b0a0f3efd29c SHA512 24f8847ff6b72dd44db197fbd80596677f9f3c5afcc87f30c41a4c0a2ccd4ee652ca630a537997ba8fe68c4919fa488e9d8cadd9a310e5356b017f6086055850
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DIST numpy-1.19.1.zip 7301568 BLAKE2B f7c17666d8cd4f477d7946be383d2ff1656c412e23dc49c55f94a6fcb95a6cffe6b4958169b1b27e027a7d674feb96de979d8bba4f1e3d9daef9b72e7f48cafa SHA512 ddc5f5e262d6f7f6e1a8879165860427baa237b6aad5b09d5b943a36bb0d5922424aac4c0e32a2cc3e14087bf6eb671988b6ff6df0d9ab8c89724e093220eead
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DIST numpy-1.19.2.zip 7310530 BLAKE2B a019c64809bd61071a4dd5e10c2cdf6927f392ebe58b45a08529295079bca68a683502aba89847578e122271d2fa4ea6d2d5461f1e58322f550cda863d36125b SHA512 56ae348f08818e30b6675df7d41a2b03687af452d7a96356fccfce2994843c7b61918946381c3af25fe03f209413d0378ee691fc38d805491a12c464e49bb59c
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DIST numpy-html-1.16.4.zip 12097069 BLAKE2B db1f897342fbc80a761fbaee7b0eee3761dbfa04ef6c46a137bb2392caaec8256580467ce06498cceeada2639151a1ec75dafab484d64cb897c008727d6d32a5 SHA512 c44c5e1e0cb22f9dd46fe9e302030292d85e567456178fee296746a414271634e906509fb6665ac63fbfebdd13c5383574f0aa47b4fbc639063da31addc3316a
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DIST numpy-ref-1.16.4.pdf 5176571 BLAKE2B 9a875ebd1473b241d463d810a6d191581aef961158f2f82959671b554ace3ad482795e4f3e1cb7dd4632cff926c1e864c675a7624fb0f4e4f297948bf50f0564 SHA512 983ba0f34a70c011886bdbc9fd8f3f75a3a967ca29217acc76fa46e7da391296a5628c9a557ac76efb393271abfb8ee4f376d401c1cc1e5c30622e54b9325d09
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DIST numpy-user-1.16.4.pdf 596203 BLAKE2B da3ad1f0ec1c965d20656f73a970911cbb58efa73a5df89e2e6485e0dd763f483e35eea1395ac919bf35d496fb216cee954fc5d31edebc1796a24a2a7a2d12b9 SHA512 3083008547213bfa98ffa5cd8e2cea13f6947f42d83aef61502a2a852b0d5f27d727c76b42d281d7a2f4f76c78e88b12ee3d9b164b39fe1f0213ace7097357d6
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EBUILD numpy-1.19.0.ebuild 3726 BLAKE2B b7ff98d3782d037656a810490a46f8d6a1f9ffa407577b910fcc7a06ce900390d341a06213c5f8d3b6073c7b20053f151f65636beccb07cb055e4dd5a965cc9c SHA512 36ef418f6e17a0cb364bb0f5cef4890fdb84d3a2b748733e35f576574a84cdebfb1e086b8764aa6a14ab887d1730f12cd7f6550a70a792d942622b7ed8602407
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EBUILD numpy-1.19.1.ebuild 3737 BLAKE2B bd8f8cfbe1bea29288f99fb57820dd4fc851cf166ca967905f72986b640a6a21ba2b39d870ec6c507a2502caefbb51baea37ce46bb8770fa3534670ec97d5207 SHA512 b5eccb5f0f15c093aa8caa6985e18edfe9f5bc391b1b293c8d40d40f4ccf860e50148af9a21fbb93bf889c1808ccf3f3c6dfe2ed7ea753abcdc39675d1c44561
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EBUILD numpy-1.19.2.ebuild 3741 BLAKE2B 3d16e9b26a02dc4c6a5a0d34bb5734aa73e161e198cc7e4311de287676c9b4cfd1d4fd982fe6572c71553d284be16978c06f5b170a9674dc747c3c99eb3728b0 SHA512 984cf6adc67ae4dd627ce0209522080f84a12cabac4c809fa17589e5acf1cc59060753d3a5f11cf3e5139904e3b8eeff2aba3f3490ff4551da23d0551756c235
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MISC metadata.xml 876 BLAKE2B 5e257d6ea3c59c5819d854db7b7db3ebff53b5c87b5ce9348786085f09db12aa6fc8fa86393b9e6c06760ac0d9f36a52fdfb1865c9d1d9ad5526d74d3d53e8b1 SHA512 d35d0954ff8f21e370edeab3ce3e5ab501bf216c93399e807ede6f1910ba0ea41359425bf894d813a39442fb92a724fe83ec8a5c64e6bd97de9422f67700d549
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47
dev-python/numpy/files/numpy-1.17.4-no-hardcode-blasv2.patch
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47
dev-python/numpy/files/numpy-1.17.4-no-hardcode-blasv2.patch
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diff --git a/numpy/distutils/system_info.py b/numpy/distutils/system_info.py
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index ba2b1f46c..09db18e69 100644
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--- a/numpy/distutils/system_info.py
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+++ b/numpy/distutils/system_info.py
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@@ -374,28 +374,7 @@ def get_info(name, notfound_action=0):
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1 - display warning message
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2 - raise error
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"""
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- cl = {'atlas': atlas_info, # use lapack_opt or blas_opt instead
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- 'atlas_threads': atlas_threads_info, # ditto
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- 'atlas_blas': atlas_blas_info,
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- 'atlas_blas_threads': atlas_blas_threads_info,
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- 'lapack_atlas': lapack_atlas_info, # use lapack_opt instead
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- 'lapack_atlas_threads': lapack_atlas_threads_info, # ditto
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- 'atlas_3_10': atlas_3_10_info, # use lapack_opt or blas_opt instead
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- 'atlas_3_10_threads': atlas_3_10_threads_info, # ditto
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- 'atlas_3_10_blas': atlas_3_10_blas_info,
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- 'atlas_3_10_blas_threads': atlas_3_10_blas_threads_info,
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- 'lapack_atlas_3_10': lapack_atlas_3_10_info, # use lapack_opt instead
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- 'lapack_atlas_3_10_threads': lapack_atlas_3_10_threads_info, # ditto
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- 'flame': flame_info, # use lapack_opt instead
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- 'mkl': mkl_info,
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- # openblas which may or may not have embedded lapack
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- 'openblas': openblas_info, # use blas_opt instead
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- # openblas with embedded lapack
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- 'openblas_lapack': openblas_lapack_info, # use blas_opt instead
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- 'openblas_clapack': openblas_clapack_info, # use blas_opt instead
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- 'blis': blis_info, # use blas_opt instead
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- 'lapack_mkl': lapack_mkl_info, # use lapack_opt instead
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- 'blas_mkl': blas_mkl_info, # use blas_opt instead
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+ cl = {'flame': flame_info, # use lapack_opt instead
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'accelerate': accelerate_info, # use blas_opt instead
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'x11': x11_info,
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'fft_opt': fft_opt_info,
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@@ -796,10 +775,7 @@ class system_info(object):
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return [b for b in [a.strip() for a in libs.split(',')] if b]
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def get_libraries(self, key='libraries'):
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- if hasattr(self, '_lib_names'):
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- return self.get_libs(key, default=self._lib_names)
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- else:
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- return self.get_libs(key, '')
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+ return self.get_libs(key, '')
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def library_extensions(self):
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c = customized_ccompiler()
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dev-python/numpy/metadata.xml
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dev-python/numpy/metadata.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="project">
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<email>sci@gentoo.org</email>
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<name>Gentoo Science Project</name>
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</maintainer>
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<maintainer type="project">
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<email>python@gentoo.org</email>
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<name>Python</name>
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</maintainer>
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<longdescription lang="en">
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NumPy is a general-purpose array-processing Python package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. There are also basic facilities for discrete fourier transform,
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basic linear algebra and random number generation.
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It is the successor of Numeric and numarray.
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</longdescription>
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<upstream>
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<remote-id type="pypi">numpy</remote-id>
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</upstream>
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</pkgmetadata>
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dev-python/numpy/numpy-1.19.0.ebuild
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dev-python/numpy/numpy-1.19.0.ebuild
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# Copyright 1999-2020 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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PYTHON_COMPAT=( python2_7 python3_{6..9} )
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PYTHON_REQ_USE="threads(+)"
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FORTRAN_NEEDED=lapack
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DISTUTILS_USE_SETUPTOOLS=rdepend
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inherit distutils-r1 flag-o-matic fortran-2 multiprocessing toolchain-funcs
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DOC_PV="1.16.4"
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DESCRIPTION="Fast array and numerical python library"
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HOMEPAGE="https://www.numpy.org"
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SRC_URI="
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mirror://pypi/${PN:0:1}/${PN}/${P}.zip
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doc? (
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https://numpy.org/doc/$(ver_cut 1-2 ${DOC_PV})/numpy-html.zip -> numpy-html-${DOC_PV}.zip
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https://numpy.org/doc/$(ver_cut 1-2 ${DOC_PV})/numpy-ref.pdf -> numpy-ref-${DOC_PV}.pdf
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https://numpy.org/doc/$(ver_cut 1-2 ${DOC_PV})/numpy-user.pdf -> numpy-user-${DOC_PV}.pdf
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)"
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LICENSE="BSD"
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SLOT="0"
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KEYWORDS="~alpha amd64 arm arm64 hppa ~ia64 ~mips ppc ppc64 ~s390 sparc x86 ~amd64-linux ~x86-linux ~ppc-macos ~x64-macos ~x86-macos ~sparc-solaris ~x64-solaris ~x86-solaris"
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IUSE="doc lapack"
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RDEPEND="
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lapack? (
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>=virtual/cblas-3.8
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>=virtual/lapack-3.8
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)
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"
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BDEPEND="
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${RDEPEND}
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app-arch/unzip
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>=dev-python/cython-0.29.15[${PYTHON_USEDEP}]
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lapack? ( virtual/pkgconfig )
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test? (
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>=dev-python/hypothesis-5.8.0[${PYTHON_USEDEP}]
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>=dev-python/pytz-2019.3[${PYTHON_USEDEP}]
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>=dev-python/cffi-1.14.0[${PYTHON_USEDEP}]
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)
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"
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PATCHES=(
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"${FILESDIR}"/${PN}-1.17.4-no-hardcode-blasv2.patch
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)
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distutils_enable_tests pytest
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src_unpack() {
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default
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if use doc; then
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unzip -qo "${DISTDIR}"/numpy-html-${DOC_PV}.zip -d html || die
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fi
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}
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python_prepare_all() {
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if use lapack; then
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local incdir="${EPREFIX}"/usr/include
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local libdir="${EPREFIX}"/usr/$(get_libdir)
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cat >> site.cfg <<-EOF || die
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[blas]
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include_dirs = ${incdir}
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library_dirs = ${libdir}
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blas_libs = cblas,blas
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[lapack]
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library_dirs = ${libdir}
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lapack_libs = lapack
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EOF
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else
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export {ATLAS,PTATLAS,BLAS,LAPACK,MKL}=None
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fi
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export CC="$(tc-getCC) ${CFLAGS}"
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append-flags -fno-strict-aliasing
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# See progress in http://projects.scipy.org/scipy/numpy/ticket/573
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# with the subtle difference that we don't want to break Darwin where
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# -shared is not a valid linker argument
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if [[ ${CHOST} != *-darwin* ]]; then
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append-ldflags -shared
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fi
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# only one fortran to link with:
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# linking with cblas and lapack library will force
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# autodetecting and linking to all available fortran compilers
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append-fflags -fPIC
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if use lapack; then
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NUMPY_FCONFIG="config_fc --noopt --noarch"
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# workaround bug 335908
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[[ $(tc-getFC) == *gfortran* ]] && NUMPY_FCONFIG+=" --fcompiler=gnu95"
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fi
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# don't version f2py, we will handle it.
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sed -i -e '/f2py_exe/s: + os\.path.*$::' numpy/f2py/setup.py || die
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# disable fuzzed tests
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find numpy/*/tests -name '*.py' -exec sed -i \
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-e 's:def \(.*_fuzz\):def _\1:' {} + || die
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# very memory- and disk-hungry
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sed -i -e 's:test_large_zip:_&:' numpy/lib/tests/test_io.py || die
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distutils-r1_python_prepare_all
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}
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python_compile() {
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export MAKEOPTS=-j1 #660754
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distutils-r1_python_compile ${NUMPY_FCONFIG}
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}
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python_test() {
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distutils_install_for_testing --single-version-externally-managed \
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--record "${TMPDIR}/record.txt" ${NUMPY_FCONFIG}
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cd "${TMPDIR}" || die
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"${EPYTHON}" -c "
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import numpy, sys
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r = numpy.test(label='full', verbose=3)
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sys.exit(0 if r else 1)" || die "Tests fail with ${EPYTHON}"
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}
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python_install() {
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# https://github.com/numpy/numpy/issues/16005
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local mydistutilsargs=( build_src )
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distutils-r1_python_install ${NUMPY_FCONFIG}
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python_optimize
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}
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python_install_all() {
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local DOCS=( LICENSE.txt README.md THANKS.txt )
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if use doc; then
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local HTML_DOCS=( "${WORKDIR}"/html/. )
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DOCS+=( "${DISTDIR}"/${PN}-{user,ref}-${DOC_PV}.pdf )
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fi
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distutils-r1_python_install_all
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}
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