commit: fe4d54ea9ecc996bd24ecc52bb59ebb95e712a94
Author: Andrew Ammerlaan <andrewammerlaan <AT> gentoo <DOT> org>
AuthorDate: Tue May 2 12:49:52 2023 +0000
Commit: Andrew Ammerlaan <andrewammerlaan <AT> gentoo <DOT> org>
CommitDate: Tue May 2 12:49:52 2023 +0000
URL: https://gitweb.gentoo.org/proj/sci.git/commit/?id=fe4d54ea
sci-libs/arpack: remove duplicate
Signed-off-by: Andrew Ammerlaan <andrewammerlaan <AT> gentoo.org>
sci-libs/arpack/arpack-3.8.0_p20220604.ebuild | 102 --------------------------
sci-libs/arpack/metadata.xml | 26 -------
2 files changed, 128 deletions(-)
diff --git a/sci-libs/arpack/arpack-3.8.0_p20220604.ebuild
b/sci-libs/arpack/arpack-3.8.0_p20220604.ebuild
deleted file mode 100644
index 6ed46317a..000000000
--- a/sci-libs/arpack/arpack-3.8.0_p20220604.ebuild
+++ /dev/null
@@ -1,102 +0,0 @@
-# Copyright 1999-2022 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-COMMIT="5eafea4328f1631eab28b1a20e757d1f0e21f8a6"
-PYTHON_COMPAT=( python3_{10..11} )
-
-inherit cmake flag-o-matic fortran-2 python-single-r1
-
-DESCRIPTION="Arnoldi package library to solve large scale eigenvalue problems"
-HOMEPAGE="
- https://www.caam.rice.edu/software/ARPACK/
- https://github.com/opencollab/arpack-ng
-"
-SRC_URI="
- https://github.com/opencollab/${PN}-ng/archive/${COMMIT}.tar.gz ->
${PF}.gh.tar.gz
- doc? (
- http://www.caam.rice.edu/software/ARPACK/SRC/ug.ps.gz ->
${PN}-ug.ps.gz
- http://www.caam.rice.edu/software/ARPACK/DOCS/tutorial.ps.gz ->
${PN}-tutorial.ps.gz
- )
-"
-S="${WORKDIR}/${PN}-ng-${COMMIT}"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64 ~arm ~arm64 ~hppa ~ia64 ~ppc ~ppc64 ~riscv ~sparc ~x86
~amd64-linux ~x86-linux ~ppc-macos"
-IUSE="doc examples icb icbexmm int64 mpi python"
-
-RDEPEND="
- virtual/blas
- virtual/lapack
-
- icbexmm? ( dev-cpp/eigen )
- mpi? ( virtual/mpi[fortran] )
- icb? ( virtual/mpi[cxx] )
- python? (
- ${PYTHON_DEPS}
- $(python_gen_cond_dep
'dev-libs/boost:=[numpy,python,${PYTHON_USEDEP}]')
- )
-"
-DEPEND="${RDEPEND}"
-BDEPEND="virtual/pkgconfig"
-
-REQUIRED_USE="
- icb? ( mpi )
- python? (
- ${PYTHON_REQUIRED_USE}
- icbexmm
- )
-"
-
-src_configure() {
- append-fflags '-fallow-argument-mismatch'
-
- local mycmakeargs=(
- -DBUILD_SHARED_LIBS=ON
- -DEXAMPLES=$(usex examples)
- -DICB=$(usex icb)
- -DICBEXMM=$(usex icbexmm)
- -DINTERFACE64=$(usex int64)
- -DMPI=$(usex mpi)
- -DPYTHON3=$(usex python)
- )
- cmake_src_configure
-}
-
-src_install() {
- cmake_src_install
-
- dodoc DOCUMENTS/*.doc
- newdoc DOCUMENTS/README README.doc
- use doc && dodoc "${WORKDIR}"/*.ps
- if use examples; then
- for i in BAND COMPLEX NONSYM SIMPLE SVD SYM ; do
- exeinto "/usr/libexec/${PN}/examples/${i}"
- doexe "${BUILD_DIR}/EXAMPLES/${i}"/*
- done
-
- if use mpi; then
- exeinto "/usr/libexec/${PN}/examples/MPI"
- doexe "${BUILD_DIR}"/PARPACK/EXAMPLES/MPI/*
- fi
-
- if use python; then
- docinto examples/pyarpack
- dodoc "${BUILD_DIR}"/*.py
- fi
- docompress -x "/usr/share/doc/${PF}/examples"
- fi
- if use icbexmm; then
- exeinto "/usr/libexec/${PN}/examples/MATRIX_MARKET"
- doexe "${BUILD_DIR}/EXAMPLES/MATRIX_MARKET/arpackmm"
- rm "${BUILD_DIR}/EXAMPLES/MATRIX_MARKET/arpackmm" || die
- docinto examples
- dodoc -r "${BUILD_DIR}/EXAMPLES/MATRIX_MARKET"
- fi
- if use python; then
- python_domodule "${ED}/usr/$(get_libdir)/pyarpack"
- rm -r "${ED}/usr/$(get_libdir)/pyarpack" || die
- fi
-}
diff --git a/sci-libs/arpack/metadata.xml b/sci-libs/arpack/metadata.xml
deleted file mode 100644
index 9cd539912..000000000
--- a/sci-libs/arpack/metadata.xml
+++ /dev/null
@@ -1,26 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd";>
-<pkgmetadata>
- <maintainer type="project">
- <email>[email protected]</email>
- <name>Gentoo Science Project</name>
- </maintainer>
- <longdescription lang="en">
- The ARnoldi PACKage is a library of routines capable of solving large scale
symmetric,
- nonsymmetric, and generalized eigenproblems. The software is designed to
compute a few
- eigenvalues with user specified features such as those of largest real
- part or largest magnitude. Storage requirements are on the order of
- n*k locations. No auxiliary storage is required. A set of Schur basis
- vectors for the desired k-dimensional eigen-space is computed which is
- numerically orthogonal to working precision. Numerically accurate
- eigenvectors are available on request.
- </longdescription>
- <upstream>
- <remote-id type="github">opencollab/arpack-ng</remote-id>
- </upstream>
- <use>
- <flag name="icb">Enable support for *[ae]upd_c with ISO_C_BINDING</flag>
- <flag name="icbexmm">Enable support for matrix market example based on
ICB</flag>
- <flag name="int64">Use the 64-bit integer interface (ILP64)</flag>
- </use>
-</pkgmetadata>
