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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: '>= 1.9.0',

default_options: [

'c_std=c11',

'cpp_std=c++14',

)

cc = meson.get_compiler('c')

cpp = meson.get_compiler('cpp')

cython = meson.get_compiler('cython')

# 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

_global_c_args = cc.get_supported_arguments(

# Enable when doing profiling:

# '-g',

'-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 = find_program('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 explicitly one by one

install_subdir('sklearn', install_dir: py.get_install_dir())

subdir('sklearn')