old_contents: # Copyright 2013-2019 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 import *
  
  
  class Ntpoly(CMakePackage):
      """NTPoly - parallel library for computing matrix functions.
  
      NTPoly is a library for computing the functions of
      sparse, hermitian matrices based on polynomial expansions. For
      sufficiently sparse matrices, most of the matrix functions in
      NTPoly can be computed in linear time.
      """
  
      homepage = "https://william-dawson.github.io/NTPoly/"
      url      = "https://github.com/william-dawson/NTPoly/archive/ntpoly-v2.3.1-alpha.tar.gz"
  
      version('2.3.1', sha256='af8c7690321607fbdee9671b9cb3acbed945148014e0541435858cf82bfd887e')
  
      depends_on('cmake', type='build')
      depends_on('blas', type='link')
      depends_on('mpi@3')
  
      def cmake_args(self):
          args = ["-DNOSWIG=Yes"]
          return args
  
new_contents: # Copyright 2013-2019 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 import *
  
  
  class Ntpoly(CMakePackage):
      """NTPoly - parallel library for computing matrix functions.
  
      NTPoly is a library for computing the functions of
      sparse, hermitian matrices based on polynomial expansions. For
      sufficiently sparse matrices, most of the matrix functions in
      NTPoly can be computed in linear time.
      """
  
      homepage = "https://william-dawson.github.io/NTPoly/"
      url      = "https://github.com/william-dawson/NTPoly/archive/ntpoly-v2.3.1-alpha.tar.gz"
  
      version('2.3.1', sha256='af8c7690321607fbdee9671b9cb3acbed945148014e0541435858cf82bfd887e')
  
      depends_on('cmake', type='build')
      depends_on('blas', type='link')
      depends_on('mpi@3')
  
      def cmake_args(self):
          args = ["-DNOSWIG=Yes"]
          if self.spec.satisfies('%fj'):
              args.append('-DCMAKE_Fortran_MODDIR_FLAG=-M')
  
          return args
  
subject: Define module directry when compiling with Fujitsu compiler. (#13120)