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cmake_minimum_required(VERSION 3.16)
project(numpycpp VERSION 1.21.2 LANGUAGES CXX)
# C++17
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
# ---- Math backend selection --------------------------------------------------
# NUMPYCPP_STD_ONLY=OFF (default): bit-exact backend
# • dlsym resolves npy_exp/npy_log/... and __svml_exp8/... from numpy's .so
# • OpenBLAS ILP64 for dot/matmul — same kernels as numpy
# • Requires: -ldl at link time
# • Results: IEEE 754 bit-identical to numpy on all architectures
#
# NUMPYCPP_STD_ONLY=ON: pure C++ standard-library backend
# • std::exp, std::log, std::sin, ... from <cmath>
# • Naive C++ loops for dot/gemm — compiler auto-vectorises with -O3
# • No external dependencies (no dlopen, no numpy .so)
# • Results: 0–2 ULP from numpy, NOT bit-exact
option(NUMPYCPP_STD_ONLY
"Use only C++ standard library (no SVML/BLAS/dlopen). Performance-first, not bit-exact."
OFF)
# ---- INTERFACE target for find_package consumers ----------------------------
add_library(numpycpp INTERFACE)
target_include_directories(numpycpp INTERFACE
$<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}>
$<INSTALL_INTERFACE:include/numpycpp>
)
target_compile_features(numpycpp INTERFACE cxx_std_17)
if(NUMPYCPP_STD_ONLY)
# Propagate the flag so every consumer gets the right backend automatically
target_compile_definitions(numpycpp INTERFACE NUMPYCPP_STD_ONLY)
message(STATUS "numpycpp backend: std (pure <cmath> + C++ loops — no bit-exact guarantee)")
else()
# dlsym required for SVML bridge + BLAS bridge
target_link_libraries(numpycpp INTERFACE dl)
message(STATUS "numpycpp backend: bitexact (SVML + OpenBLAS ILP64 via dlsym)")
endif()
# ---- Install — header-only C++ library --------------------------------------
install(DIRECTORY numpycpp
DESTINATION include/numpycpp
FILES_MATCHING PATTERN "*.h"
PATTERN ".pytest_cache" EXCLUDE
)
include(CMakePackageConfigHelpers)
configure_package_config_file(
numpycpp-config.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/numpycpp-config.cmake
INSTALL_DESTINATION lib/cmake/numpycpp
)
write_basic_package_version_file(
${CMAKE_CURRENT_BINARY_DIR}/numpycpp-config-version.cmake
VERSION ${PROJECT_VERSION}
COMPATIBILITY SameMajorVersion
)
install(FILES
${CMAKE_CURRENT_BINARY_DIR}/numpycpp-config.cmake
${CMAKE_CURRENT_BINARY_DIR}/numpycpp-config-version.cmake
DESTINATION lib/cmake/numpycpp
)
# ---- Docs & examples -------------------------------------------------------
install(FILES README.md
DESTINATION share/numpycpp
)
install(DIRECTORY example/
DESTINATION share/numpycpp/example
)
# ---- CPack DEB packaging ----------------------------------------------------
# Single DEB — header-only library, backend is a consumer compile-time choice.
# File: numpycpp-dev-<version>-Linux.deb
set(CPACK_PACKAGE_NAME "numpycpp-dev")
set(CPACK_PACKAGE_VERSION ${PROJECT_VERSION})
set(CPACK_PACKAGE_VENDOR "miaobyte")
set(CPACK_PACKAGE_CONTACT "miaobyte")
set(CPACK_PACKAGE_DESCRIPTION_SUMMARY
"C++ numpy-API header-only library (bitexact + std backends, C++17)")
set(CPACK_GENERATOR "DEB")
set(CPACK_DEB_COMPONENT_INSTALL OFF)
set(CPACK_DEBIAN_PACKAGE_MAINTAINER "miaobyte")
set(CPACK_DEBIAN_PACKAGE_SECTION "libdevel")
set(CPACK_DEBIAN_PACKAGE_PRIORITY "optional")
set(CPACK_DEBIAN_FILE_NAME
"numpycpp-dev-${CPACK_PACKAGE_VERSION}-Linux.deb")
set(CPACK_PACKAGING_INSTALL_PREFIX "/usr")
# Wipe the old include tree on install/upgrade so stale headers cannot accumulate.
set(CPACK_DEBIAN_PACKAGE_CONTROL_EXTRA "${CMAKE_CURRENT_SOURCE_DIR}/cmake/preinst")
include(CPack)
# Convenience target
add_custom_target(deb
COMMAND cpack -G DEB
COMMENT "Packaging numpycpp-dev-${CPACK_PACKAGE_VERSION}-Linux.deb"
)
message(STATUS "numpycpp v${PROJECT_VERSION} (header-only C++ library)")
message(STATUS " C++ Standard: ${CMAKE_CXX_STANDARD}")
message(STATUS " DEB: cmake --build <build_dir> --target deb")
message(STATUS " Test: cmake -S tests -B tests/build && cmake --build tests/build --target test")