bump numpy-1.19.1
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@ -7,6 +7,7 @@
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* bump pure-python-adb-0.3.0
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* bump python-openzwave-mqtt-1.0.4
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* bump dynalite-devices-0.1.44
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* bump numpy-1.19.1
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2020-08-10
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* bump pyskyqhub-0.1.1
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@ -11,6 +11,7 @@ DIST numpy-1.18.1.zip 5430477 BLAKE2B 5a3325c438f5a6d39feb0efd8745d00f47ecf49ceb
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DIST numpy-1.18.2.zip 5433240 BLAKE2B fcafdec05ba98a236cc519ca3f6ba3ba0a46bea2b4a3d3014f8a30455b59bce448fc75bb73e414afa96f55054509a73506c3b0ee600e7e206293f8b4f33800a9 SHA512 8402788803147d74ccd03af0a36232928f884b40ab1332561eaa9853e39b62b524fd4eb122c775ca53e0d6c693a65ff3e689bd0a7fed16cc07caf254e786598b
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DIST numpy-1.18.4.zip 5440468 BLAKE2B 701b2a3cf1af09e8c96850a37a42223e729477b5bbb42062180c9ba7fda76826f29de526a4607ff194cef1e338c9a3971e777c7001cbcb1173eebf236dc98dbb SHA512 ec16fa6f5a52e62aeae482290776229d55cc2528fdfabd69a4c48e33991ee901dc345cdafd132baabded0bc4f11a41dcfc4fb737e24cb9b3b8a938a8769e0f01
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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-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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@ -20,4 +21,5 @@ EBUILD numpy-1.18.1.ebuild 3621 BLAKE2B 3e5b753d32d353a17d464c3e19b25e80766f0f20
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EBUILD numpy-1.18.2.ebuild 3621 BLAKE2B 3e5b753d32d353a17d464c3e19b25e80766f0f20d2449779ec1cce5b153dad200b8d890b22e7c6255f9745240ac8e698faa02621dc8edeb865dde374eacf08bd SHA512 e72f0c843bf91770d573db57c0000f4c4d226c9056f69f08e172e99866754c870b20e3e0f58b0a4c93fd7decd242c230514375914efabd96c159761ef824386f
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EBUILD numpy-1.18.4.ebuild 3736 BLAKE2B df766362332589e63483a0b84d0025c83baedf8a44761b0cae551f094f05cafe691fdd6085c91f67daf51d8201715f8707febf081b10e31e74972c90ddeae589 SHA512 4217776f5e3b73e190a2c791312138fa06ba71e3e99e5e39cc0f9dc96c58cd09e7470326b6779990a6262d7c416b39ac5e047590ffdd358b47537bf64257b82b
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EBUILD numpy-1.19.0.ebuild 3734 BLAKE2B fb067fa06e1341dee3f64bb41caaf149d96d1870b1c6911af81859b257cf1b2ddf3ed21833255345e63d89202508e812a9263a281878268422d018ce0926521c SHA512 148632766a283427b693670b7d733138ef9d119bd640db4ea04d0858a502e7befe0a2328c261ce692368cbee77581c9c2f3d5a75f0b741ecd9353194afffc381
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EBUILD numpy-1.19.1.ebuild 3734 BLAKE2B fb067fa06e1341dee3f64bb41caaf149d96d1870b1c6911af81859b257cf1b2ddf3ed21833255345e63d89202508e812a9263a281878268422d018ce0926521c SHA512 148632766a283427b693670b7d733138ef9d119bd640db4ea04d0858a502e7befe0a2328c261ce692368cbee77581c9c2f3d5a75f0b741ecd9353194afffc381
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MISC metadata.xml 461 BLAKE2B 8832954e31cde79a9535602fb4c7abdf6ec38271c3c5823d2018be1a14fc4b4d5cbe7dac755979b10e76ac8a7579debf1518646d3a55182979893af71bfa5171 SHA512 f687204c86bee2daec69b88f6d2508ecb92ba494d728a19c209d440b5168c52d4a5ce8707b96b8688d6560d7268c23a4ba19dc33477395fd41f7e63ab3ad3653
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145
dev-python/numpy/numpy-1.19.1.ebuild
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145
dev-python/numpy/numpy-1.19.1.ebuild
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@ -0,0 +1,145 @@
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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=( 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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