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project(
'scikit-learn',
'c', 'cpp', 'cython',
version: run_command('sklearn/_build_utils/version.py', check: true).stdout().strip(),
license: 'BSD-3',
meson_version: '>= 1.1.0',
default_options: [
'buildtype=debugoptimized',
'c_std=c99',
'cpp_std=c++14',
],
)
cc = meson.get_compiler('c')
cpp = meson.get_compiler('cpp')
# Check compiler is recent enough (see "Toolchain Roadmap" for details)
if cc.get_id() == 'gcc'
if not cc.version().version_compare('>=8.0')
error('scikit-learn requires GCC >= 8.0')
endif
elif cc.get_id() == 'msvc'
if not cc.version().version_compare('>=19.20')
error('scikit-learn requires at least vc142 (default with Visual Studio 2019) ' + \
'when building with MSVC')
endif
endif
_global_c_args = cc.get_supported_arguments(
'-Wno-unused-but-set-variable',
'-Wno-unused-function',
'-Wno-conversion',
'-Wno-misleading-indentation',
)
add_project_arguments(_global_c_args, language : 'c')
# We need -lm for all C code (assuming it uses math functions, which is safe to
# assume for scikit-learn). For C++ it isn't needed, because libstdc++/libc++ is
# guaranteed to depend on it.
m_dep = cc.find_library('m', required : false)
if m_dep.found()
add_project_link_arguments('-lm', language : 'c')
endif
tempita = files('sklearn/_build_utils/tempita.py')
py = import('python').find_installation(pure: false)
# Copy all the .py files to the install dir, rather than using
# py.install_sources and needing to list them explicitely one by one
install_subdir('sklearn', install_dir: py.get_install_dir())
subdir('sklearn')
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