# Copyright 2013-2022 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)

# ----------------------------------------------------------------------------
# If you submit this package back to Spack as a pull request,
# please first remove this boilerplate and all FIXME comments.
#
# This is a template package file for Spack.  We've put "FIXME"
# next to all the things you'll want to change. Once you've handled
# them, you can save this file and test your package like this:
#
#     spack install hyquas
#
# You can edit this file again by typing:
#
#     spack edit hyquas
#
# See the Spack documentation for more information on packaging.
# ----------------------------------------------------------------------------

from spack.package import *

class Hyquas(CMakePackage, CudaPackage):
    """HyQuas is a Hybrid partitioner based Quantum circuit Simulation system on GPU, which supports both single-GPU,
    single-node-multi-GPU, and multi-node-multi-GPU quantum circuit simulation."""

    homepage = "https://github.com/thu-pacman/HyQuas#readme"
    git = "https://github.com/thu-pacman/HyQuas.git"

    maintainers = ["germanne"]

    version('main', submodules=True)

    depends_on("cmake", type=('build'))
    depends_on("mpi", type=('build','link', 'run'))

    for value in CudaPackage.cuda_arch_values:
        depends_on("nccl@2.9.6-1+cuda cuda_arch={0}".format(value), type=('link', 'run'), when='cuda_arch={0}'.format(value))

    variant("cuda", default=True, description="Build with CUDA")

    conflicts("~cuda", msg="HyQuas requires CUDA")

    build_directory = 'build'

    def setup_build_environment(self, env):
        cuda_arch = self.spec.variants['cuda_arch'].value[0]
        env.set('CUDA_NVCC_FLAGS', '-Xcompiler -fopenmp -std=c++14 -O2 -g -arch=compute_' + cuda_arch + '-code=sm_' + cuda_arch + '--ptxas-options=-v -lineinfo -keep')
        env.set('GENCODE_FLAGS', '-gencode arch=compute_' + cuda_arch +',code=sm_' + cuda_arch)
       # env.set("CUDA_HOME", self.spec['cuda'].prefix)
        env.set("NCCL_ROOT", self.spec['nccl'].prefix)

    @run_before('cmake')
    def build_cutt(self):
        with working_dir('./third-party/cutt'):
            make()

    def install(self, spec, prefix):
        mkdir(prefix.bin)
        with working_dir(self.build_directory):
            install('main', prefix.bin)