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suitesparse-paru: new recipe
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valgur committed Apr 15, 2024
1 parent 4522d7a commit dbe5331
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10 changes: 10 additions & 0 deletions recipes/suitesparse-paru/all/conandata.yml
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sources:
"0.1.3":
url: "https://github.com/DrTimothyAldenDavis/SuiteSparse/archive/refs/tags/v7.7.0.tar.gz"
sha256: "529b067f5d80981f45ddf6766627b8fc5af619822f068f342aab776e683df4f3"
patches:
"0.1.3":
- patch_file: "patches/001-fix-cmake.patch"
patch_type: "portability"
patch_description: "Fix a breaking typo in CMakeLists.txt"
patch_source: "https://github.com/DrTimothyAldenDavis/SuiteSparse/pull/793"
102 changes: 102 additions & 0 deletions recipes/suitesparse-paru/all/conanfile.py
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import os

from conan import ConanFile
from conan.tools.build import stdcpp_library
from conan.tools.cmake import CMake, CMakeDeps, CMakeToolchain, cmake_layout
from conan.tools.env import VirtualBuildEnv
from conan.tools.files import get, rm, rmdir, copy, replace_in_file, export_conandata_patches, apply_conandata_patches

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GitHub Actions / Lint changed conanfile.py (v2 migration)

Unused replace_in_file imported from conan.tools.files

required_conan_version = ">=1.53.0"


class SuiteSparseParuConan(ConanFile):
name = "suitesparse-paru"
description = "ParU: Routines for solving sparse linear system via parallel multifrontal LU factorization algorithms in SuiteSparse"
license = "GPL-3.0-or-later"
url = "https://github.com/conan-io/conan-center-index"
homepage = "https://people.engr.tamu.edu/davis/suitesparse.html"
topics = ("mathematics", "sparse-matrix", "linear-algebra", "linear-system-solver", "lu-factorization")

package_type = "library"
settings = "os", "arch", "compiler", "build_type"
options = {
"shared": [True, False],
"fPIC": [True, False],
}
default_options = {
"shared": False,
"fPIC": True,
}

def export_sources(self):
export_conandata_patches(self)

def config_options(self):
if self.settings.os == "Windows":
del self.options.fPIC

def configure(self):
if self.options.shared:
self.options.rm_safe("fPIC")

def layout(self):
cmake_layout(self, src_folder="src")

def requirements(self):
# OpenBLAS and OpenMP are provided via suitesparse-config
self.requires("suitesparse-config/7.7.0", transitive_headers=True, transitive_libs=True)
self.requires("suitesparse-cholmod/5.2.1", transitive_headers=True, transitive_libs=True)
self.requires("suitesparse-umfpack/6.3.3", transitive_headers=True, transitive_libs=True)

def build_requirements(self):
self.tool_requires("cmake/[>=3.22 <4]")

def source(self):
get(self, **self.conan_data["sources"][self.version], strip_root=True)

def generate(self):
venv = VirtualBuildEnv(self)
venv.generate()

tc = CMakeToolchain(self)
tc.variables["BUILD_SHARED_LIBS"] = self.options.shared
tc.variables["BUILD_STATIC_LIBS"] = not self.options.shared
tc.variables["SUITESPARSE_USE_OPENMP"] = True
tc.variables["SUITESPARSE_USE_CUDA"] = False
tc.variables["SUITESPARSE_DEMOS"] = False
tc.variables["SUITESPARSE_USE_FORTRAN"] = False # Fortran sources are translated to C instead
tc.generate()

deps = CMakeDeps(self)
deps.generate()

def build(self):
apply_conandata_patches(self)
cmake = CMake(self)
cmake.configure(build_script_folder=os.path.join(self.source_folder, "ParU"))
cmake.build()

def package(self):
copy(self, "License.txt", os.path.join(self.source_folder, "ParU", "Doc"), os.path.join(self.package_folder, "licenses"))
cmake = CMake(self)
cmake.install()
rmdir(self, os.path.join(self.package_folder, "lib", "pkgconfig"))
rmdir(self, os.path.join(self.package_folder, "lib", "cmake"))
rmdir(self, os.path.join(self.package_folder, "share"))
rm(self, "*.pdb", self.package_folder, recursive=True)

def package_info(self):
self.cpp_info.set_property("cmake_file_name", "ParU")
self.cpp_info.set_property("cmake_target_name", "SuiteSparse::ParU")
if not self.options.shared:
self.cpp_info.set_property("cmake_target_aliases", ["SuiteSparse::ParU_static"])
self.cpp_info.set_property("pkg_config_name", "ParU")

self.cpp_info.libs = ["paru"]
self.cpp_info.includedirs.append(os.path.join("include", "suitesparse"))

if self.settings.os in ["Linux", "FreeBSD"]:
self.cpp_info.system_libs.append("m")

if not self.options.shared and stdcpp_library(self):
self.cpp_info.system_libs.append(stdcpp_library(self))
11 changes: 11 additions & 0 deletions recipes/suitesparse-paru/all/patches/001-fix-cmake.patch
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--- ParU/CMakeLists.txt
+++ ParU/CMakeLists.txt
@@ -111,7 +111,7 @@

find_package ( UMFPACK 6.3.3
PATHS ${CMAKE_SOURCE_DIR}/../UMFPACK/build NO_DEFAULT_PATH )
- if ( NOT CAMD_FOUND )
+ if ( NOT UMFPACK_FOUND )
find_package ( UMFPACK 6.3.3 REQUIRED )
endif ( )
endif ( )
8 changes: 8 additions & 0 deletions recipes/suitesparse-paru/all/test_package/CMakeLists.txt
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cmake_minimum_required(VERSION 3.15)
project(test_package LANGUAGES C)

find_package(ParU REQUIRED CONFIG)

add_executable(${PROJECT_NAME} test_package.c)
target_link_libraries(${PROJECT_NAME} PRIVATE SuiteSparse::ParU)
target_compile_features(${PROJECT_NAME} PRIVATE c_std_11)
27 changes: 27 additions & 0 deletions recipes/suitesparse-paru/all/test_package/conanfile.py
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from conan import ConanFile
from conan.tools.build import can_run
from conan.tools.cmake import cmake_layout, CMake
import os


class TestPackageConan(ConanFile):
settings = "os", "arch", "compiler", "build_type"
generators = "CMakeDeps", "CMakeToolchain", "VirtualRunEnv"
test_type = "explicit"

def requirements(self):
self.requires(self.tested_reference_str)

def layout(self):
cmake_layout(self)

def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()

def test(self):
if can_run(self):
bin_path = os.path.join(self.cpp.build.bindir, "test_package")
test_matrix = os.path.join(self.source_folder, "p1_ss.mtx")
self.run(f"{bin_path} < {test_matrix}", env="conanrun")
29 changes: 29 additions & 0 deletions recipes/suitesparse-paru/all/test_package/p1_ss.mtx
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%%MatrixMarket matrix coordinate real general
%-------------------------------------------------------------------------------
% UF Sparse Matrix Collection, Tim Davis
% http://www.cise.ufl.edu/research/sparse/matrices/Grund/b1_ss
% name: Grund/b1_ss
% [Unsymmetric Matrix b1_ss, F. Grund, Dec 1994.]
% id: 449
% date: 1997
% author: F. Grund
% ed: F. Grund
% fields: title A b name id date author ed kind
% kind: chemical process simulation problem
%-------------------------------------------------------------------------------
7 7 15
5 1 -.03599942
6 1 -.0176371
7 1 -.007721779
1 2 1
2 2 -1
1 3 1
3 3 -1
1 4 1
4 4 -1
2 5 .45
5 5 1
3 6 .1
6 6 1
4 7 .45
7 7 1
80 changes: 80 additions & 0 deletions recipes/suitesparse-paru/all/test_package/test_package.c
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// https://github.com/DrTimothyAldenDavis/SuiteSparse/blob/v7.7.0/ParU/Demo/paru_simplec.c

// ========================================================================= /
// ======================= paru_simplec.c ================================= /
// ========================================================================== /

// ParU, Copyright (c) 2022, Mohsen Aznaveh and Timothy A. Davis,
// All Rights Reserved.
// SPDX-License-Identifier: GNU GPL 3.0

/*
* @brief a simple test to show how to use ParU with C interface
* @author Aznaveh
* */

#include <ParU_C.h>

#include <stdint.h>
#include <math.h>

int main(int argc, char **argv)
{
cholmod_common Common, *cc;
cholmod_sparse *A;
ParU_C_Symbolic *Sym;
//~~~~~~~~~Reading the input matrix and test if the format is OK~~~~~~~~~~~~
// start CHOLMOD
cc = &Common;
int mtype;
cholmod_l_start(cc);
// A = mread (stdin) ; read in the sparse matrix A
A = (cholmod_sparse *)cholmod_l_read_matrix(stdin, 1, &mtype, cc);
//~~~~~~~~~~~~~~~~~~~Starting computation~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
printf("================= ParU, a simple demo, using C interface : ====\n");
ParU_C_Control Control;
ParU_C_Init_Control(&Control);
ParU_Ret info;
info = ParU_C_Analyze(A, &Sym, &Control);
printf("Input matrix is %" PRId64 "x%" PRId64 " nnz = %" PRId64 " \n", Sym->m, Sym->n, Sym->anz);
ParU_C_Numeric *Num;
info = ParU_C_Factorize(A, Sym, &Num, &Control);

if (info != PARU_SUCCESS)
{
printf("ParU: factorization was NOT successful.");
if (info == PARU_OUT_OF_MEMORY) printf("\nOut of memory\n");
if (info == PARU_INVALID) printf("\nInvalid!\n");
if (info == PARU_SINGULAR) printf("\nSingular!\n");
}
else
{
printf("ParU: factorization was successful.\n");
}

//~~~~~~~~~~~~~~~~~~~ Computing Ax = b ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#if 1
if (info == PARU_SUCCESS)
{
int64_t m = Sym->m;
double *b = (double *)malloc(m * sizeof(double));
double *xx = (double *)malloc(m * sizeof(double));
for (int64_t i = 0; i < m; ++i) b[i] = i + 1;
info = ParU_C_Solve_Axb(Sym, Num, b, xx, &Control);
double resid, anorm, xnorm;
info =
ParU_C_Residual_bAx(A, xx, b, m, &resid, &anorm, &xnorm, &Control);
double rresid = (anorm == 0 || xnorm == 0 ) ? 0 : (resid/(anorm*xnorm));
printf( "Relative residual is |%.2e|, anorm is %.2e, xnorm is %.2e "
" and rcond is %.2e.\n", rresid, anorm, xnorm, Num->rcond);
free(b);
free(xx);
}
#endif // testing the results
//~~~~~~~~~~~~~~~~~~~End computation~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
ParU_C_Freenum(&Num, &Control);
ParU_C_Freesym(&Sym, &Control);

cholmod_l_free_sparse(&A, cc);
cholmod_l_finish(cc);
}
3 changes: 3 additions & 0 deletions recipes/suitesparse-paru/config.yml
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versions:
"0.1.3":
folder: all

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