project( 'NumPy', 'c', 'cpp', 'cython', version: run_command( # This should become `numpy/_version.py` in NumPy 2.0 ['numpy/_build_utils/gitversion.py'], check: true).stdout().strip(), license: 'BSD-3', meson_version: '>=1.5.2', # version in vendored-meson is 1.5.2 default_options: [ 'buildtype=debugoptimized', 'b_ndebug=if-release', 'c_std=c11', 'cpp_std=c++17', 'pkgconfig.relocatable=true', ], ) fs = import('fs') cc = meson.get_compiler('c') cpp = meson.get_compiler('cpp') cy = meson.get_compiler('cython') # Check compiler is recent enough (see the SciPy Toolchain Roadmap for details) if cc.get_id() == 'gcc' if not cc.version().version_compare('>=9.3') error('NumPy requires GCC >= 9.3') endif elif cc.get_id() == 'msvc' if not cc.version().version_compare('>=19.20') error('NumPy requires at least vc142 (default with Visual Studio 2019) ' + \ 'when building with MSVC') endif endif if not cy.version().version_compare('>=3.0.6') error('NumPy requires Cython >= 3.0.6') endif py = import('python').find_installation(pure: false) py_dep = py.dependency() if not cc.has_header('Python.h', dependencies: py_dep) error('Cannot compile `Python.h`. Perhaps you need to install python-dev|python-devel') endif # Add default compile flags for any compiler that supports them. # Note that MSVC does not support strict aliasing at all, and neither do the # Intel compilers on Windows, so the `-fno` flavor of the flag should be fine. add_project_arguments( cc.get_supported_arguments( '-fno-strict-aliasing'), language : 'c' ) # # Clang defaults to a non-strict floating error point model, but we need strict # behavior. `-ftrapping-math` is equivalent to `-ffp-exception-behavior=strict`. # This flag is also required to prevent the activation of SIMD partial load workarounds. # For further clarification, refer to gh-24461. cc_id = cc.get_id() if cc_id.startswith('clang') # Determine the compiler flags for trapping math exceptions. trapping_math = { 'clang-cl': '/clang:-ftrapping-math', }.get(cc_id, '-ftrapping-math') # Check if the compiler supports the trapping math flag. if cc.has_argument(trapping_math) # TODO: Consider upgrading the vendored Meson to 1.3.0 to support the parameter `werror` # Detect whether the compiler actually supports strict handling of floating-point exceptions # by treating warnings as errors. if cc.compiles('int main() { return 0; }', args: [trapping_math, '-Werror']) trapping_math = [trapping_math, '-DNPY_HAVE_CLANG_FPSTRICT'] else # Suppress warnings about unsupported floating-point optimization. trapping_math = [trapping_math, '-Wno-unsupported-floating-point-opt'] # Inform the user about the workaround. message( 'NumPy is being built against a version of Clang that does not strictly enforce ' + 'floating-point exception handling. Workarounds will be used, which may impact performance.\n' + 'Consider upgrading Clang to the latest version.' ) endif add_project_arguments(trapping_math, language: ['c', 'cpp']) endif endif subdir('meson_cpu') subdir('numpy')