add suitesparse

recipes/recipes_emscripten/suitesparse/build.sh

@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+set -euxo pipefail
+
+OPENBLAS_LIB="${PREFIX}/lib/libopenblas.a"
+
+export CXXFLAGS="${CXXFLAGS:-} -s INITIAL_HEAP=512mb -s ALLOW_MEMORY_GROWTH=1 -s MAXIMUM_MEMORY=4GB"
+export LDFLAGS="${LDFLAGS:-} -s INITIAL_HEAP=512mb -s ALLOW_MEMORY_GROWTH=1 -s MAXIMUM_MEMORY=4GB"
+
+emcmake cmake . \
+    -DCMAKE_INSTALL_PREFIX="${PREFIX}" \
+    -DCMAKE_PREFIX_PATH="${PREFIX}" \
+    -DCMAKE_C_FLAGS="${CFLAGS:-}" \
+    -DCMAKE_CXX_FLAGS="${CXXFLAGS:-}" \
+    -DCMAKE_EXE_LINKER_FLAGS="${LDFLAGS:-}" \
+    -DCMAKE_SHARED_LINKER_FLAGS="${LDFLAGS:-}" \
+    -DBUILD_SHARED_LIBS=OFF \
+    -DSUITESPARSE_USE_FORTRAN=OFF \
+    -DSUITESPARSE_USE_CUDA=OFF \
+    -DSUITESPARSE_USE_OPENMP=OFF \
+    -DGRAPHBLAS_USE_JIT=OFF \
+    -DBLAS_FOUND=TRUE \
+    -DLAPACK_FOUND=TRUE \
+    -DBLAS_LIBRARIES="$OPENBLAS_LIB" \
+    -DLAPACK_LIBRARIES="$OPENBLAS_LIB" \
+    -DBLA_VENDOR=OpenBLAS \
+    -DSUITESPARSE_ENABLE_PROJECTS="all"
+
+emmake make -j8
+emmake make install

recipes/recipes_emscripten/suitesparse/recipe.yaml

@@ -0,0 +1,44 @@
+context:
+  name: suitesparse
+  version: 7.12.2
+
+package:
+  name: ${{ name }}
+  version: ${{ version }}
+
+source:
+  url: https://github.com/DrTimothyAldenDavis/SuiteSparse/archive/refs/tags/v${{ version }}.tar.gz
+  sha256: 679412daa5f69af96d6976595c1ac64f252287a56e98cc4a8155d09cc7fd69e8
+
+build:
+  number: 0
+
+requirements:
+  build:
+  - autoconf
+  - automake
+  - libtool
+  - make
+  - pkg-config
+  - autoconf-archive
+  - ${{ compiler('cxx') }}
+  host:
+  - openblas
+  - gmp
+  - mpfr
+
+tests:
+- package_contents:
+    files:
+    - lib/libsuitesparseconfig.a
+    - include/suitesparse/SuiteSparse_config.h
+
+about:
+  homepage: https://people.engr.tamu.edu/davis/suitesparse.html
+  license: BSD-3-Clause AND BSD-2-Clause AND Apache-2.0 AND LGPL-2.1-or-later AND GPL-2.0-or-later AND GPL-3.0-or-later AND GPL-3.0-only AND (LGPL-3.0-or-later OR GPL-2.0-or-later)
+  license_file: LICENSE.txt
+  summary: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University
+
+extra:
+  recipe-maintainers:
+  - wangyenshu