# Copyright 2013-2023 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.package import *


class Accfft(CMakePackage, CudaPackage):
    """AccFFT extends existing FFT libraries for CUDA-enabled
    Graphics Processing Units (GPUs) to distributed memory clusters
    """

    homepage = "http://accfft.org"
    git = "https://github.com/amirgholami/accfft.git"

    version("develop", branch="master")

    variant("pnetcdf", default=True, description="Add support for parallel NetCDF")
    variant("shared", default=True, description="Enables the build of shared libraries")

    # See: http://accfft.org/articles/install/#installing-dependencies
    depends_on("fftw precision=float,double ~mpi+openmp")

    depends_on("parallel-netcdf", when="+pnetcdf")

    # fix error [-Wc++11-narrowing]
    patch("fix_narrowing_error.patch")

    parallel = False

    def cmake_args(self):
        spec = self.spec
        args = [
            "-DFFTW_ROOT={0}".format(spec["fftw"].prefix),
            "-DFFTW_USE_STATIC_LIBS=false",
            "-DBUILD_GPU={0}".format("true" if "+cuda" in spec else "false"),
            "-DBUILD_SHARED={0}".format("true" if "+shared" in spec else "false"),
        ]

        if "+cuda" in spec:
            cuda_arch = [x for x in spec.variants["cuda_arch"].value if x]
            if cuda_arch:
                args.append("-DCUDA_NVCC_FLAGS={0}".format(" ".join(self.cuda_flags(cuda_arch))))

        return args