# IT4Innovations
# LK 2024

name = 'METIS'
version = '5.1.0'

homepage = 'http://glaros.dtc.umn.edu/gkhome/metis/metis/overview'

description = """
 METIS is a set of serial programs for partitioning graphs, partitioning
 finite element meshes, and producing fill reducing orderings for sparse
 matrices. The algorithms implemented in METIS are based on the multilevel
 recursive-bisection, multilevel k-way, and multi-constraint partitioning
 schemes.
"""

toolchain = {'name': 'GCCcore', 'version': '13.2.0'}
toolchainopts = {'pic': True}

source_urls = [
    'http://glaros.dtc.umn.edu/gkhome/fetch/sw/metis',
    'http://glaros.dtc.umn.edu/gkhome/fetch/sw/metis/OLD',
]
sources = [SOURCELOWER_TAR_GZ]
patches = ['%(name)s-%(version)s-use-doubles.patch']
checksums = [
    {'metis-5.1.0.tar.gz': '76faebe03f6c963127dbb73c13eab58c9a3faeae48779f049066a21c087c5db2'},
    {'METIS-5.1.0-use-doubles.patch': '7e38a3ec8f2b8e3d189239bade5b28c0dd1c564485050109164fa71a6a767c67'},
]

# We use 32bit for indices and 64bit for content
builddependencies = [
    ('binutils', '2.40'),
    ('CMake', '3.27.6'),
]

configopts = ['', 'shared=1']

moduleclass = 'math'