cmake_minimum_required(VERSION 3.15...3.26)

project(isoext LANGUAGES CXX CUDA)

if(NOT SKBUILD)
    message(WARNING "\
    This CMake file is meant to be executed using 'scikit-build'. Running
    it directly will almost certainly not produce the desired result. If
    you are a user trying to install this package, please use the command
    below, which will install all necessary build dependencies, compile
    the package in an isolated environment, and then install it.
    =====================================================================
     $ pip install .
    =====================================================================
    If you are a software developer, and this is your own package, then
    it is usually much more efficient to install the build dependencies
    in your environment once and use the following command that avoids
    a costly creation of a new virtual environment at every compilation:
    =====================================================================
     $ pip install nanobind scikit-build-core[pyproject]
     $ pip install --no-build-isolation -ve .
    =====================================================================
    You may optionally add -Ceditable.rebuild=true to auto-rebuild when
    the package is imported. Otherwise, you need to re-run the above
    after editing C++ files.")
endif()

# Try to import all Python components potentially needed by nanobind
find_package(Python 3.8
    REQUIRED COMPONENTS Interpreter Development.Module
    OPTIONAL_COMPONENTS Development.SABIModule)

# Import nanobind through CMake's find_package mechanism
find_package(nanobind CONFIG REQUIRED)

# Import CUDA through CMake's find_package mechanism
find_package(CUDAToolkit REQUIRED)

include(cmake/get_cpm.cmake)

# This will automatically clone CCCL from GitHub and make the exported cmake targets available
CPMAddPackage(
    NAME CCCL
    GITHUB_REPOSITORY nvidia/cccl
    GIT_TAG v2.6.1 # Fixing the version to avoid breaking changes
)

file(GLOB_RECURSE HEADER_LIST CONFIGURE_DEPENDS "${isoext_SOURCE_DIR}/include/*.cuh")
file(GLOB_RECURSE SOURCE_LIST CONFIGURE_DEPENDS "${isoext_SOURCE_DIR}/src/*.cu")

# Enable CUDA lambda expressions
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --extended-lambda")

# Set C++17 as the default
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CUDA_STANDARD 17)
set(CMAKE_CUDA_STANDARD_REQUIRED ON)

# We are now ready to compile the actual extension module
nanobind_add_module(

    # Name of the extension
    isoext_ext

    # Target the stable ABI for Python 3.12+, which reduces
    # the number of binary wheels that must be built. This
    # does nothing on older Python versions
    STABLE_ABI

    # Build libnanobind statically and merge it into the
    # extension (which itself remains a shared library)
    #
    # If your project builds multiple extensions, you can
    # replace this flag by NB_SHARED to conserve space by
    # reusing a shared libnanobind across libraries
    NB_STATIC

    # Source code goes here
    ${HEADER_LIST}
    ${SOURCE_LIST}
)

target_link_libraries(isoext_ext PRIVATE CCCL::CCCL CUDA::cusolver CUDA::cublas)
target_include_directories(isoext_ext PUBLIC "${isoext_SOURCE_DIR}/include/")

# Install directive for scikit-build-core
install(TARGETS isoext_ext LIBRARY DESTINATION isoext)