old_contents: # Copyright 2013-2021 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.pkg.builtin.libflame import LibflameBase
  
  
  class Amdlibflame(LibflameBase):
      """libFLAME (AMD Optimized version) is a portable library for
      dense matrix computations, providing much of the functionality
      present in Linear Algebra Package (LAPACK). It includes a
      compatibility layer, FLAPACK, which includes complete LAPACK
      implementation.
  
      The library provides scientific and numerical computing communities
      with a modern, high-performance dense linear algebra library that is
      extensible, easy to use, and available under an open source
      license. libFLAME is a C-only implementation and does not
      depend on any external FORTRAN libraries including LAPACK.
      There is an optional backward compatibility layer, lapack2flame
      that maps LAPACK routine invocations to their corresponding
      native C implementations in libFLAME. This allows legacy
      applications to start taking advantage of libFLAME with
      virtually no changes to their source code.
  
      In combination with BLIS library which includes optimizations
      for the AMD EPYC processor family, libFLAME enables running
      high performing LAPACK functionalities on AMD platform.
      """
  
      _name = 'amdlibflame'
      homepage = "http://developer.amd.com/amd-cpu-libraries/blas-library/#libflame"
      url = "https://github.com/amd/libflame/archive/2.2.tar.gz"
      git = "https://github.com/amd/libflame.git"
  
      maintainers = ['amd-toolchain-support']
  
      version('2.2', sha256='12b9c1f92d2c2fa637305aaa15cf706652406f210eaa5cbc17aaea9fcfa576dc')
  
      patch('aocc-2.2.0.patch', when="@:2.999", level=1)
  
      provides('flame@5.2', when='@2:')
  
      @property
      def lapack_libs(self):
          """find lapack_libs function"""
          shared = True if '+shared' in self.spec else False
          return find_libraries(
              'libflame', root=self.prefix, shared=shared, recursive=True
          )
  
      def configure_args(self):
          """configure_args function"""
          args = super(Amdlibflame, self).configure_args()
          args.append("--enable-external-lapack-interfaces")
          return args
  
      def install(self, spec, prefix):
          """make install function"""
          # make install in parallel fails with message 'File already exists'
          make("install", parallel=False)
  
new_contents: # Copyright 2013-2021 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.pkg.builtin.libflame import LibflameBase
  
  
  class Amdlibflame(LibflameBase):
      """libFLAME (AMD Optimized version) is a portable library for
      dense matrix computations, providing much of the functionality
      present in Linear Algebra Package (LAPACK). It includes a
      compatibility layer, FLAPACK, which includes complete LAPACK
      implementation.
  
      The library provides scientific and numerical computing communities
      with a modern, high-performance dense linear algebra library that is
      extensible, easy to use, and available under an open source
      license. libFLAME is a C-only implementation and does not
      depend on any external FORTRAN libraries including LAPACK.
      There is an optional backward compatibility layer, lapack2flame
      that maps LAPACK routine invocations to their corresponding
      native C implementations in libFLAME. This allows legacy
      applications to start taking advantage of libFLAME with
      virtually no changes to their source code.
  
      In combination with BLIS library which includes optimizations
      for the AMD EPYC processor family, libFLAME enables running
      high performing LAPACK functionalities on AMD platform.
      """
  
      _name = 'amdlibflame'
      homepage = "http://developer.amd.com/amd-cpu-libraries/blas-library/#libflame"
      url = "https://github.com/amd/libflame/archive/2.2.tar.gz"
      git = "https://github.com/amd/libflame.git"
  
      maintainers = ['amd-toolchain-support']
  
      version('2.2', sha256='12b9c1f92d2c2fa637305aaa15cf706652406f210eaa5cbc17aaea9fcfa576dc')
  
      depends_on('python', type='build')
  
      patch('aocc-2.2.0.patch', when="@:2.999", level=1)
  
      provides('flame@5.2', when='@2:')
  
      @property
      def lapack_libs(self):
          """find lapack_libs function"""
          shared = True if '+shared' in self.spec else False
          return find_libraries(
              'libflame', root=self.prefix, shared=shared, recursive=True
          )
  
      def configure_args(self):
          """configure_args function"""
          args = super(Amdlibflame, self).configure_args()
          args.append("--enable-external-lapack-interfaces")
          return args
  
      def install(self, spec, prefix):
          """make install function"""
          # make install in parallel fails with message 'File already exists'
          make("install", parallel=False)
  
subject: Fix build error (#22316)