scikit-image

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# Platform detection
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is_windows = host_machine.system() == 'windows'
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is_mingw = is_windows and cc.get_id() == 'gcc'
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cython_c_args = []
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if is_windows
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  # For mingw-w64, link statically against the UCRT.
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  gcc_link_args = ['-lucrt', '-static']
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  if is_mingw
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    add_project_link_arguments(gcc_link_args, language: ['c', 'cpp'])
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    # Force gcc to float64 long doubles for compatibility with MSVC
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    # builds, for C only.
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    add_project_arguments('-mlong-double-64', language: 'c')
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    # Make fprintf("%zd") work (see https://github.com/rgommers/scipy/issues/118)
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    add_project_arguments('-D__USE_MINGW_ANSI_STDIO=1', language: ['c', 'cpp'])
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    # Manual add of MS_WIN64 macro when not using MSVC.
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    # https://bugs.python.org/issue28267
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    bitness = run_command(
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      '_build_utils/gcc_build_bitness.py',
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      check: true
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    ).stdout().strip()
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    if bitness == '64'
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      add_project_arguments('-DMS_WIN64', language: ['c', 'cpp'])
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    endif
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    # Silence warnings emitted by PyOS_snprintf for (%zd), see
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    # https://github.com/rgommers/scipy/issues/118.
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    # Use as c_args for extensions containing Cython code
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    cython_c_args += ['-Wno-format-extra-args', '-Wno-format']
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  endif
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endif
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# When cross-compiling skimage, the compiler needs access to NumPy and Pythran
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# headers for the host platform (where the package will actually run). These
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# headers may be incompatible with any corresponding headers that might be
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# installed on the build system (where the compilation is performed). To make
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# sure that the compiler finds the right headers, paths can be configured in
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# the 'properties' section of a Meson cross file:
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#
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#   [properties]
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#   numpy-include-dir = '/path/to/host/numpy/includes'
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#   pythran-include-dir = '/path/to/host/pythran/includes'
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#
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# If a cross file is not provided or does not specify either of these
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# properties, fall back to running Python on the build system to query NumPy or
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# Pythran directly for the appropriate paths. This will detect appropriate
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# paths for native builds. (This might even work for certain build/host cross
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# combinations, but don't rely on that.)
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#
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# For more information about cross compilation in Meson, including a definition
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# of "build" and "host" in this context, refer to
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#
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#     https://mesonbuild.com/Cross-compilation.html
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# NumPy include directory
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incdir_numpy = meson.get_external_property('numpy-include-dir', 'not-given')
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if incdir_numpy == 'not-given'
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  # If not specified, try to query NumPy from the build python
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  incdir_numpy = run_command(py3,
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    [
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      '-c',
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      'import os; os.chdir(".."); import numpy; print(numpy.get_include())'
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    ],
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    check: true
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  ).stdout().strip()
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endif
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inc_np = include_directories(incdir_numpy)
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cc = meson.get_compiler('c')
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# Pythran include directory
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incdir_pythran = meson.get_external_property('pythran-include-dir', 'not-given')
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if incdir_pythran == 'not-given'
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  # If not specified, try to query Pythran from the build python
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  incdir_pythran = run_command(py3,
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    [
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      '-c',
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      'import os; os.chdir(".."); import pythran; print(os.path.dirname(pythran.__file__));'
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    ],
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    check: true
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  ).stdout().strip()
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endif
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inc_pythran = include_directories(incdir_pythran)
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# Pythran build flags
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cpp_args_pythran = [
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  '-DENABLE_PYTHON_MODULE',
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  '-D__PYTHRAN__=3',
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  '-DPYTHRAN_BLAS_NONE'
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]
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# Deal with M_PI & friends; add `use_math_defines` to c_args
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# Cython doesn't always get this correctly itself
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# explicitly add the define as a compiler flag for Cython-generated code.
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if is_windows
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  use_math_defines = ['-D_USE_MATH_DEFINES']
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else
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  use_math_defines = []
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endif
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# Don't use the deprecated NumPy C API. Define this to a fixed version instead of
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# NPY_API_VERSION in order not to break compilation for released SciPy versions
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# when NumPy introduces a new deprecation. Use in a meson.build file::
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#
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#   py3.extension_module('_name',
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#     'source_fname',
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#     numpy_nodepr_api)
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#
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numpy_nodepr_api = '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION'
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python_sources = [
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  '__init__.py',
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  '__init__.pyi',
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  'conftest.py',
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  'py.typed'
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]
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py3.install_sources(
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  python_sources,
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  pure: false,
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  subdir: 'skimage'
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)
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cython_cli = find_program('_build_utils/cythoner.py')
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cy = meson.get_compiler('cython')
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cython_args = ['@INPUT@', '@OUTPUT@']
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if cy.version().version_compare('>=3.1.0')
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  cython_args += ['-Xfreethreading_compatible=True']
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endif
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cython_cpp_args = cython_args + ['--cplus']
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cython_gen = generator(cython_cli,
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  arguments : cython_args,
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  output : '@BASENAME@.c')
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cython_gen_cpp = generator(cython_cli,
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  arguments : ['@INPUT@', '@OUTPUT@', '--cplus'],
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  output : '@BASENAME@.cpp')
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c_undefined_ok = ['-Wno-maybe-uninitialized']
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# Suppress warning for deprecated Numpy API.
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# (Suppress warning messages emitted by #warning directives).
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# Replace with numpy_nodepr_api after Cython 3.0 is out
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_cpp_Wno_cpp = cpp.get_supported_arguments('-Wno-cpp')
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cython_c_args += [_cpp_Wno_cpp, use_math_defines]
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cython_cpp_args = cython_c_args
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subdir('_shared')
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subdir('_vendored')
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subdir('color')
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subdir('data')
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subdir('draw')
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subdir('exposure')
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subdir('feature')
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subdir('filters')
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subdir('future')
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subdir('graph')
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subdir('io')
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subdir('measure')
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subdir('metrics')
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subdir('morphology')
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subdir('registration')
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subdir('restoration')
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subdir('segmentation')
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subdir('transform')
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subdir('util')
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