proj/gentoo: Initial commit

This commit represents a new era for Gentoo:
Storing the gentoo-x86 tree in Git, as converted from CVS.

This commit is the start of the NEW history.
Any historical data is intended to be grafted onto this point.

Creation process:
1. Take final CVS checkout snapshot
2. Remove ALL ChangeLog* files
3. Transform all Manifests to thin
4. Remove empty Manifests
5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$
5.1. Do not touch files with -kb/-ko keyword flags.

Signed-off-by: Robin H. Johnson <robbat2@gentoo.org>
X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests
X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project
X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration
X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn
X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts
X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration
X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging
X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed
This commit is contained in:
Robin H. Johnson
2015-08-08 13:49:04 -07:00
commit 56bd759df1
97532 changed files with 3536859 additions and 0 deletions

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DIST pycuda-2012.1.tar.gz 1473695 SHA256 d5b90467b926c73ceaf2dd2662fef2e21e106f00a0aa0d11f09a891aac3925dc SHA512 bb8889fa46de3d4ae57fb47883232953eba0e12a53431fffdefb12af3134540aec2671f0f2fbbe1d836dab354d407e078e773e84f8ee9a5345400a4a59da7937 WHIRLPOOL b35484ddc8d2c1808a0d706dcdcc9ebe49af153b0aaaf8fc2596f4068c5c2dbdb9fb4f84ac46512b314ef9383f70dfcefa4895191d7a9f6d78eee8ae8a56fe71
DIST pycuda-2013.1.1.tar.gz 1586425 SHA256 4b541ff7ab4a867e9389b3b9b9456c6957000f39a20a46e872dd25dd3bece2da SHA512 7a7e95fcd4f76d10234558021064cc299e6d93ab9a428c9560e5a8a73b13304ba9ccc3c103674a25effdc01a14aac21981a62de881a9c990ad16d7689b75e502 WHIRLPOOL c1e958defbe4998c0af5a256df51daa3901f0bf2a45e5c5faed9abf5ba60ebd0dddab6fbb4caff41eac588fe7fc3cca1517c032d95d316492f99c307b6a260f3
DIST pycuda-2014.1.tar.gz 1588986 SHA256 28e8f7425d0bac03a6c80346a4e150024ef0e4740ce11cb54e6aef351127d7af SHA512 57e333941c472feea6974e583f9d27f7f5083011bd8a7cc0bc31d27032885a130f1f57a16b0730696c607b9dca32ad84b96c984cd82351800ec854acdfa8fe9f WHIRLPOOL c71876c6f203a0a8a996a90976ad3f012ce1497ee84534c7fb8876e19293766d4641fbac00a538b1ddb074b29f8d8347f39caae613839b38cf5ee9eb15a86c09

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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<herd>sci</herd>
<upstream>
<remote-id type="pypi">pycuda</remote-id>
</upstream>
</pkgmetadata>

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# Copyright 1999-2015 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# $Id$
EAPI=5
PYTHON_COMPAT=( python2_7 )
inherit cuda distutils-r1 multilib
DESCRIPTION="Python wrapper for NVIDIA CUDA"
HOMEPAGE="http://mathema.tician.de/software/pycuda/ http://pypi.python.org/pypi/pycuda"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
LICENSE="GPL-2"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="examples opengl test"
RDEPEND="
dev-libs/boost[python,${PYTHON_USEDEP}]
dev-python/decorator[${PYTHON_USEDEP}]
dev-python/mako[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
>=dev-python/pytools-2011.2[${PYTHON_USEDEP}]
dev-util/nvidia-cuda-toolkit
x11-drivers/nvidia-drivers
opengl? ( virtual/opengl )"
DEPEND="${RDEPEND}
test? (
dev-python/mako[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}] )"
# We need write acccess /dev/nvidia0 and /dev/nvidiactl and the portage
# user is (usually) not in the video group
RESTRICT="userpriv"
python_prepare_all() {
cuda_sanitize
sed \
-e "s:'--preprocess':\'--preprocess\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:\"--cubin\":\'--cubin\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:/usr/include/pycuda:${S}/src/cuda:g" \
-i pycuda/compiler.py || die
touch siteconf.py || die
distutils-r1_python_prepare_all
}
python_configure() {
local myopts=()
use opengl && myopts+=( --cuda-enable-gl )
mkdir "${BUILD_DIR}" || die
cd "${BUILD_DIR}" || die
[[ -e ./siteconf.py ]] && rm -f ./siteconf.py
"${EPYTHON}" "${S}"/configure.py \
--boost-inc-dir="${EPREFIX}/usr/include" \
--boost-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--boost-python-libname=boost_python-$(echo ${EPYTHON} | sed 's/python//')-mt \
--boost-thread-libname=boost_thread-mt \
--cuda-root="${EPREFIX}/opt/cuda" \
--cudadrv-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--cudart-lib-dir="${EPREFIX}/opt/cuda/$(get_libdir)" \
--cuda-inc-dir="${EPREFIX}/opt/cuda/include" \
--no-use-shipped-boost \
"${myopts[@]}"
}
src_test() {
# we need write access to this to run the tests
addwrite /dev/nvidia0
addwrite /dev/nvidiactl
python_test() {
py.test --debug -v -v -v || die "Tests fail with ${EPYTHON}"
}
distutils-r1_src_test
}
python_install_all() {
distutils-r1_python_install_all
if use examples; then
insinto /usr/share/doc/${PF}
doins -r examples
fi
}

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# Copyright 1999-2015 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# $Id$
EAPI=5
PYTHON_COMPAT=( python{2_7,3_3} )
inherit cuda distutils-r1 multilib
DESCRIPTION="Python wrapper for NVIDIA CUDA"
HOMEPAGE="http://mathema.tician.de/software/pycuda/ http://pypi.python.org/pypi/pycuda"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
LICENSE="GPL-2"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="examples opengl test"
RDEPEND="
dev-libs/boost[python,${PYTHON_USEDEP}]
dev-python/decorator[${PYTHON_USEDEP}]
dev-python/mako[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
>=dev-python/pytools-2013[${PYTHON_USEDEP}]
dev-util/nvidia-cuda-toolkit
x11-drivers/nvidia-drivers
opengl? ( virtual/opengl )"
DEPEND="${RDEPEND}
test? (
dev-python/mako[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}] )"
# We need write acccess /dev/nvidia0 and /dev/nvidiactl and the portage
# user is (usually) not in the video group
RESTRICT="userpriv"
python_prepare_all() {
cuda_sanitize
sed \
-e "s:'--preprocess':\'--preprocess\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:\"--cubin\":\'--cubin\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:/usr/include/pycuda:${S}/src/cuda:g" \
-i pycuda/compiler.py || die
touch siteconf.py || die
distutils-r1_python_prepare_all
}
python_configure() {
local myopts=()
use opengl && myopts+=( --cuda-enable-gl )
mkdir "${BUILD_DIR}" || die
cd "${BUILD_DIR}" || die
[[ -e ./siteconf.py ]] && rm -f ./siteconf.py
"${EPYTHON}" "${S}"/configure.py \
--boost-inc-dir="${EPREFIX}/usr/include" \
--boost-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--boost-python-libname=boost_python-$(echo ${EPYTHON} | sed 's/python//')-mt \
--boost-thread-libname=boost_thread-mt \
--cuda-root="${EPREFIX}/opt/cuda" \
--cudadrv-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--cudart-lib-dir="${EPREFIX}/opt/cuda/$(get_libdir)" \
--cuda-inc-dir="${EPREFIX}/opt/cuda/include" \
--no-use-shipped-boost \
"${myopts[@]}"
}
src_test() {
# we need write access to this to run the tests
addwrite /dev/nvidia0
addwrite /dev/nvidiactl
python_test() {
py.test --debug -v -v -v || die "Tests fail with ${EPYTHON}"
}
distutils-r1_src_test
}
python_install_all() {
distutils-r1_python_install_all
if use examples; then
insinto /usr/share/doc/${PF}
doins -r examples
fi
}

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# Copyright 1999-2014 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# $Id$
EAPI=5
PYTHON_COMPAT=( python2_7 python3_{3,4} )
inherit cuda distutils-r1 multilib
DESCRIPTION="Python wrapper for NVIDIA CUDA"
HOMEPAGE="http://mathema.tician.de/software/pycuda/ http://pypi.python.org/pypi/pycuda"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
LICENSE="GPL-2"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE="examples opengl test"
RDEPEND="
dev-libs/boost[python,${PYTHON_USEDEP}]
dev-python/decorator[${PYTHON_USEDEP}]
dev-python/mako[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
>=dev-python/pytools-2013[${PYTHON_USEDEP}]
dev-util/nvidia-cuda-toolkit
x11-drivers/nvidia-drivers
opengl? ( virtual/opengl )"
DEPEND="${RDEPEND}
test? (
dev-python/mako[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}] )"
# We need write acccess /dev/nvidia0 and /dev/nvidiactl and the portage
# user is (usually) not in the video group
RESTRICT="userpriv"
python_prepare_all() {
cuda_sanitize
sed \
-e "s:'--preprocess':\'--preprocess\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:\"--cubin\":\'--cubin\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:/usr/include/pycuda:${S}/src/cuda:g" \
-i pycuda/compiler.py || die
touch siteconf.py || die
distutils-r1_python_prepare_all
}
python_configure() {
local myopts=()
use opengl && myopts+=( --cuda-enable-gl )
mkdir "${BUILD_DIR}" || die
cd "${BUILD_DIR}" || die
[[ -e ./siteconf.py ]] && rm -f ./siteconf.py
"${EPYTHON}" "${S}"/configure.py \
--boost-inc-dir="${EPREFIX}/usr/include" \
--boost-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--boost-python-libname=boost_python-$(echo ${EPYTHON} | sed 's/python//')-mt \
--boost-thread-libname=boost_thread-mt \
--cuda-root="${EPREFIX}/opt/cuda" \
--cudadrv-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--cudart-lib-dir="${EPREFIX}/opt/cuda/$(get_libdir)" \
--cuda-inc-dir="${EPREFIX}/opt/cuda/include" \
--no-use-shipped-boost \
"${myopts[@]}"
}
src_test() {
# we need write access to this to run the tests
addwrite /dev/nvidia0
addwrite /dev/nvidiactl
python_test() {
py.test --debug -v -v -v || die "Tests fail with ${EPYTHON}"
}
distutils-r1_src_test
}
python_install_all() {
distutils-r1_python_install_all
if use examples; then
insinto /usr/share/doc/${PF}
doins -r examples
fi
}

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# Copyright 1999-2014 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
# $Id$
EAPI=5
PYTHON_COMPAT=( python2_7 python3_{3,4} )
inherit cuda distutils-r1 git-r3 multilib
DESCRIPTION="Python wrapper for NVIDIA CUDA"
HOMEPAGE="http://mathema.tician.de/software/pycuda/ http://pypi.python.org/pypi/pycuda"
SRC_URI=""
EGIT_REPO_URI="http://git.tiker.net/trees/pycuda.git"
LICENSE="GPL-2"
SLOT="0"
KEYWORDS=""
IUSE="examples opengl test"
RDEPEND="
dev-libs/boost[python,${PYTHON_USEDEP}]
dev-python/decorator[${PYTHON_USEDEP}]
dev-python/mako[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
>=dev-python/pytools-2013[${PYTHON_USEDEP}]
dev-util/nvidia-cuda-toolkit
x11-drivers/nvidia-drivers
opengl? ( virtual/opengl )"
DEPEND="${RDEPEND}
test? (
dev-python/mako[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}] )"
# We need write acccess /dev/nvidia0 and /dev/nvidiactl and the portage
# user is (usually) not in the video group
RESTRICT="userpriv"
python_prepare_all() {
cuda_sanitize
sed \
-e "s:'--preprocess':\'--preprocess\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:\"--cubin\":\'--cubin\', \'--compiler-bindir=$(cuda_gccdir)\':g" \
-e "s:/usr/include/pycuda:${S}/src/cuda:g" \
-i pycuda/compiler.py || die
touch siteconf.py || die
distutils-r1_python_prepare_all
}
python_configure() {
local myopts=()
use opengl && myopts+=( --cuda-enable-gl )
mkdir "${BUILD_DIR}" || die
cd "${BUILD_DIR}" || die
[[ -e ./siteconf.py ]] && rm -f ./siteconf.py
"${EPYTHON}" "${S}"/configure.py \
--boost-inc-dir="${EPREFIX}/usr/include" \
--boost-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--boost-python-libname=boost_python-$(echo ${EPYTHON} | sed 's/python//')-mt \
--boost-thread-libname=boost_thread-mt \
--cuda-root="${EPREFIX}/opt/cuda" \
--cudadrv-lib-dir="${EPREFIX}/usr/$(get_libdir)" \
--cudart-lib-dir="${EPREFIX}/opt/cuda/$(get_libdir)" \
--cuda-inc-dir="${EPREFIX}/opt/cuda/include" \
--no-use-shipped-boost \
"${myopts[@]}"
}
src_test() {
# we need write access to this to run the tests
addwrite /dev/nvidia0
addwrite /dev/nvidiactl
python_test() {
py.test --debug -v -v -v || die "Tests fail with ${EPYTHON}"
}
distutils-r1_src_test
}
python_install_all() {
distutils-r1_python_install_all
if use examples; then
insinto /usr/share/doc/${PF}
doins -r examples
fi
}