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spack/var/spack/repos/builtin/packages/suite-sparse/package.py
Aiden Grossman 19c20563cc Initial License Checkin 
This patch adds license information for about 5,300 packages from automated sources.
The license information was obtained from Alpine Linux and PyPI and processed
using tooling available in https://github.com/boomanaiden154/spack-license-utils.
The license field was added in after all other directives in an automated fashion.

Note that while this license information is probably fairly accurate, it is not
guaranteed to be accurate. In addition some of the license strings from Alpine Linux
might not be valid SPDX license strings. Invalid SPDX identifiers can be picked up
and fixed once we have validation/parsing infrastructure in place for the solver,
and issues can be fixed as they come up.
2023-12-27 11:20:45 -08:00

301 lines
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Python
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# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class SuiteSparse(Package):
"""
SuiteSparse is a suite of sparse matrix algorithms
"""
homepage = "https://people.engr.tamu.edu/davis/suitesparse.html"
url = "https://github.com/DrTimothyAldenDavis/SuiteSparse/archive/v4.5.3.tar.gz"
git = "https://github.com/DrTimothyAldenDavis/SuiteSparse.git"
license("Apache-2.0")
version("5.13.0", sha256="59c6ca2959623f0c69226cf9afb9a018d12a37fab3a8869db5f6d7f83b6b147d")
version("5.12.0", sha256="5fb0064a3398111976f30c5908a8c0b40df44c6dd8f0cc4bfa7b9e45d8c647de")
version("5.11.0", sha256="fdd957ed06019465f7de73ce931afaf5d40e96e14ae57d91f60868b8c123c4c8")
version("5.10.1", sha256="acb4d1045f48a237e70294b950153e48dce5b5f9ca8190e86c2b8c54ce00a7ee")
version("5.10.0", sha256="4bcc974901c0173acf80c41ee0fd779eb7dce2871d4afa24a5d15b1a468f93e5")
version("5.9.0", sha256="7bdd4811f1cf0767c5fdb5e435817fdadee50b0acdb598f4882ae7b8291a7f24")
version("5.8.1", sha256="06726e471fbaa55f792578f9b4ab282ea9d008cf39ddcc3b42b73400acddef40")
version("5.8.0", sha256="94a9b7134eb4dd82b97f1a22a6b464feb81e73af2dcdf683c6f252285191df1d")
version("5.7.2", sha256="fe3bc7c3bd1efdfa5cffffb5cebf021ff024c83b5daf0ab445429d3d741bd3ad")
version("5.7.1", sha256="5ba5add1663d51a1b6fb128b50fe869b497f3096765ff7f8212f0ede044b9557")
version("5.6.0", sha256="76d34d9f6dafc592b69af14f58c1dc59e24853dcd7c2e8f4c98ffa223f6a1adb")
version("5.5.0", sha256="63c73451734e2bab19d1915796c6776565ea6aea5da4063a9797ecec60da2e3d")
version("5.4.0", sha256="d9d62d539410d66550d0b795503a556830831f50087723cb191a030525eda770")
version("5.3.0", sha256="d8ef4bee4394d2f07299d4688b83bbd98e9d3a2ebbe1c1632144b6f7095ce165")
version("5.2.0", sha256="68c431aef3d9a0b02e97803eb61671c5ecb9d36fd292a807db87067dadb36e53")
version("5.1.2", sha256="97dc5fdc7f78ff5018e6a1fcc841e17a9af4e5a35cebd62df6922349bf12959e")
version("5.1.0", sha256="0b0e03c63e67b04529bb6248808d2a8c82259d40b30fc5a7599f4b6f7bdd4dc6")
version("5.0.0", sha256="2f8694d9978033659f10ceb8bdb19147d3c519a0251b8de84be6ba8824d30517")
version("4.5.6", sha256="1c7b7a265a1d6c606095eb8aa3cb8e27821f1b7f5bc04f28df6d62906e02f4e4")
version("4.5.5", sha256="80d1d9960a6ec70031fecfe9adfe5b1ccd8001a7420efb50d6fa7326ef14af91")
version("4.5.3", sha256="b6965f9198446a502cde48fb0e02236e75fa5700b94c7306fc36599d57b563f4")
variant(
"pic",
default=True,
description="Build position independent code (required to link with shared libraries)",
)
variant("cuda", default=False, description="Build with CUDA")
variant("openmp", default=False, description="Build with OpenMP")
variant(
"graphblas",
default=False,
description="Build with GraphBLAS (takes a long time to compile)",
)
# In @4.5.1. TBB support in SPQR seems to be broken as TBB-related linking
# flags does not seem to be used, which leads to linking errors on Linux.
# Support for TBB has been removed in version 5.11
variant("tbb", default=False, description="Build with Intel TBB", when="@4.5.3:5.10")
depends_on("blas")
depends_on("lapack")
depends_on("cuda", when="+cuda")
depends_on("mpfr@4.0.0:", when="@5.8.0:")
depends_on("gmp", when="@5.8.0:")
depends_on("m4", type="build", when="@5.0.0:")
depends_on("cmake", when="+graphblas @5.2.0:", type="build")
depends_on("metis@5.1.0", when="@4.5.1:")
with when("+tbb"):
depends_on("tbb")
patch("tbb_453.patch", when="@4.5.3:4.5.5")
# The @2021.x versions of tbb dropped the task_scheduler_init.h header and
# related stuff (which have long been deprecated). This appears to be
# rather problematic for suite-sparse (see e.g.
# https://github.com/DrTimothyAldenDavis/SuiteSparse/blob/master/SPQR/Source/spqr_parallel.cpp)
depends_on("intel-tbb@:2020 build_system=makefile", when="^intel-tbb")
conflicts(
"^intel-oneapi-tbb@2021:",
msg="suite-sparse needs task_scheduler_init.h dropped in recent tbb libs",
)
# This patch removes unsupported flags for pgi compiler
patch("pgi.patch", when="%pgi")
patch("pgi.patch", when="%nvhpc")
# This patch adds '-lm' when linking libgraphblas and when using clang.
# Fixes 'libgraphblas.so.2.0.1: undefined reference to `__fpclassify''
patch("graphblas_libm_dep.patch", when="+graphblas @5.2.0:5.2%clang")
# CUDA-11 dropped sm_30 code generation, remove hardcoded sm_30 from makefile
# open issue: https://github.com/DrTimothyAldenDavis/SuiteSparse/issues/56
# Tested only with 5.9.0, previous versions probably work too
patch("fix_cuda11.patch", when="@5.9.0:5.10.0+cuda ^cuda@11:")
conflicts(
"%gcc@:4.8", when="@5.2.0:", msg="gcc version must be at least 4.9 for suite-sparse@5.2.0:"
)
def flag_handler(self, name, flags):
if name in ("cflags", "cxxflags"):
if self.spec.satisfies("^openblas ~shared threads=openmp"):
flags.append(self.compiler.openmp_flag)
return (flags, None, None)
def symbol_suffix_blas(self, spec, args):
"""When using BLAS with a special symbol suffix we use defines to
replace blas symbols, e.g. dgemm_ becomes dgemm_64_ when
symbol_suffix=64_."""
# Currently only OpenBLAS does this.
if not spec.satisfies("^openblas"):
return
suffix = spec["openblas"].variants["symbol_suffix"].value
if suffix == "none":
return
symbols = (
"dtrsv_",
"dgemv_",
"dtrsm_",
"dgemm_",
"dsyrk_",
"dger_",
"dscal_",
"dpotrf_",
"ztrsv_",
"zgemv_",
"ztrsm_",
"zgemm_",
"zherk_",
"zgeru_",
"zscal_",
"zpotrf_",
"dnrm2_",
"dlarf_",
"dlarfg_",
"dlarft_",
"dlarfb_",
"dznrm2_",
"zlarf_",
"zlarfg_",
"zlarft_",
"zlarfb_",
)
for symbol in symbols:
args.append("CFLAGS+=-D{0}={1}{2}".format(symbol, symbol, suffix))
def install(self, spec, prefix):
# The build system of SuiteSparse is quite old-fashioned.
# It's basically a plain Makefile which include an header
# (SuiteSparse_config/SuiteSparse_config.mk)with a lot of convoluted
# logic in it. Any kind of customization will need to go through
# filtering of that file
cc_pic_flag = self.compiler.cc_pic_flag if "+pic" in spec else ""
f77_pic_flag = self.compiler.f77_pic_flag if "+pic" in spec else ""
make_args = [
# By default, the Makefile uses the Intel compilers if
# they are found. The AUTOCC flag disables this behavior,
# forcing it to use Spack's compiler wrappers.
"AUTOCC=no",
# CUDA=no does NOT disable cuda, it only disables internal search
# for CUDA_PATH. If in addition the latter is empty, then CUDA is
# completely disabled. See
# [SuiteSparse/SuiteSparse_config/SuiteSparse_config.mk] for more.
"CUDA=no",
"CUDA_PATH=%s" % (spec["cuda"].prefix if "+cuda" in spec else ""),
"CFOPENMP=%s" % (self.compiler.openmp_flag if "+openmp" in spec else ""),
"CFLAGS=-O3 %s" % cc_pic_flag,
# Both FFLAGS and F77FLAGS are used in SuiteSparse makefiles;
# FFLAGS is used in CHOLMOD, F77FLAGS is used in AMD and UMFPACK.
"FFLAGS=%s" % f77_pic_flag,
"F77FLAGS=%s" % f77_pic_flag,
# use Spack's metis in CHOLMOD/Partition module,
# otherwise internal Metis will be compiled
"MY_METIS_LIB=%s" % spec["metis"].libs.ld_flags,
"MY_METIS_INC=%s" % spec["metis"].prefix.include,
# Make sure Spack's Blas/Lapack is used. Otherwise System's
# Blas/Lapack might be picked up. Need to add -lstdc++, following
# with the TCOV path of SparseSuite 4.5.1's Suitesparse_config.mk,
# even though this fix is ugly
"BLAS=%s" % (spec["blas"].libs.ld_flags + (" -lstdc++" if "@4.5.1" in spec else "")),
"LAPACK=%s" % spec["lapack"].libs.ld_flags,
]
# Recent versions require c11 but some demos do not get the c11 from
# GraphBLAS/CMakeLists.txt, for example the file
# GraphBLAS/Demo/Program/wildtype_demo.c. For many compilers this is
# not an issue because c11 or newer is their default. However, for some
# compilers (e.g. xlc) the c11 flag is necessary.
if spec.satisfies("@5.4:5.7.1") and ("%xl" in spec or "%xl_r" in spec):
make_args += ["CFLAGS+=%s" % self.compiler.c11_flag]
# 64bit blas in UMFPACK:
if (
spec.satisfies("^openblas+ilp64")
or spec.satisfies("^intel-mkl+ilp64")
or spec.satisfies("^intel-parallel-studio+mkl+ilp64")
):
make_args.append('UMFPACK_CONFIG=-DLONGBLAS="long long"')
# Handle symbol suffix of some BLAS'es (e.g. 64_ or _64 for ilp64)
self.symbol_suffix_blas(spec, make_args)
# SuiteSparse defaults to using '-fno-common -fexceptions' in
# CFLAGS, but not all compilers use the same flags for these
# optimizations
if any([x in spec for x in ("%apple-clang", "%clang", "%gcc", "%intel", "%fj")]):
make_args += ["CFLAGS+=-fno-common -fexceptions"]
elif "%pgi" in spec:
make_args += ["CFLAGS+=--exceptions"]
if spack_f77.endswith("xlf") or spack_f77.endswith("xlf_r"):
make_args += ["CFLAGS+=-DBLAS_NO_UNDERSCORE"]
# Intel TBB in SuiteSparseQR
if "+tbb" in spec:
make_args += ["SPQR_CONFIG=-DHAVE_TBB", "TBB=%s" % spec["tbb"].libs.ld_flags]
if "@5.3:" in spec:
# Without CMAKE_LIBRARY_PATH defined, the CMake file in the
# Mongoose directory finds libsuitesparseconfig.so in system
# directories like /usr/lib.
make_args += [
"CMAKE_OPTIONS=-DCMAKE_INSTALL_PREFIX=%s" % prefix
+ " -DCMAKE_LIBRARY_PATH=%s" % prefix.lib
]
if spec.satisfies("%gcc platform=darwin"):
make_args += ["LDLIBS=-lm"]
make_args.append("INSTALL=%s" % prefix)
# Filter the targets we're interested in
targets = [
"SuiteSparse_config",
"AMD",
"BTF",
"CAMD",
"CCOLAMD",
"COLAMD",
"CHOLMOD",
"CXSparse",
"LDL",
"KLU",
"UMFPACK",
"RBio",
]
if spec.satisfies("+cuda"):
targets.extend(["SuiteSparse_GPURuntime", "GPUQREngine"])
targets.extend(["SPQR"])
if spec.satisfies("+graphblas"):
targets.append("GraphBLAS")
if spec.satisfies("@5.8.0:"):
targets.append("SLIP_LU")
# Finally make and install
make("-C", "SuiteSparse_config", "config", *make_args)
for target in targets:
make("-C", target, "library", *make_args)
make("-C", target, "install", *make_args)
@run_after("install")
def fix_darwin_install(self):
# The shared libraries are not installed correctly on Darwin:
# See https://github.com/DrTimothyAldenDavis/SuiteSparse/issues/42
if "+pic platform=darwin" in self.spec:
fix_darwin_install_name(self.spec.prefix.lib)
@property
def libs(self):
"""Export the libraries of SuiteSparse.
Sample usage: spec['suite-sparse'].libs.ld_flags
spec['suite-sparse:klu,btf'].libs.ld_flags
"""
# Component libraries, ordered by dependency. Any missing components?
all_comps = [
"klu",
"btf",
"umfpack",
"cholmod",
"colamd",
"amd",
"camd",
"ccolamd",
"cxsparse",
"ldl",
"rbio",
"spqr",
"suitesparseconfig",
]
query_parameters = self.spec.last_query.extra_parameters
comps = all_comps if not query_parameters else query_parameters
return find_libraries(
["lib" + c for c in comps], root=self.prefix.lib, shared=True, recursive=False
)
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