distutils.misc_util#

numpy.distutils.misc_util.all_strings(lst)[source]#: Return True if all items in lst are string objects.

numpy.distutils.misc_util.allpath(name)[source]#: Convert a /-separated pathname to one using the OS’s path separator.

numpy.distutils.misc_util.appendpath(prefix, path)[source]#

numpy.distutils.misc_util.as_list(seq)[source]#

numpy.distutils.misc_util.blue_text(s)[source]#

numpy.distutils.misc_util.cyan_text(s)[source]#

numpy.distutils.misc_util.cyg2win32(path: str) → str[source]#

Convert a path from Cygwin-native to Windows-native.

Uses the cygpath utility (part of the Base install) to do the actual conversion. Falls back to returning the original path if this fails.

Handles the default /cygdrive mount prefix as well as the /proc/cygdrive portable prefix, custom cygdrive prefixes such as / or /mnt, and absolute paths such as /usr/src/ or /home/username

Parameters:

pathstr: The path to convert

Returns:

converted_pathstr: The converted path

Notes

Documentation for cygpath utility: https://cygwin.com/cygwin-ug-net/cygpath.html Documentation for the C function it wraps: https://cygwin.com/cygwin-api/func-cygwin-conv-path.html

numpy.distutils.misc_util.default_config_dict(name=None, parent_name=None, local_path=None)[source]#: Return a configuration dictionary for usage in configuration() function defined in file setup_<name>.py.

numpy.distutils.misc_util.dict_append(d, **kws)[source]#

numpy.distutils.misc_util.dot_join(*args)[source]#

numpy.distutils.misc_util.exec_mod_from_location(modname, modfile)[source]#: Use importlib machinery to import a module modname from the file modfile. Depending on the spec.loader, the module may not be registered in sys.modules.

numpy.distutils.misc_util.filter_sources(sources)[source]#: Return four lists of filenames containing C, C++, Fortran, and Fortran 90 module sources, respectively.

numpy.distutils.misc_util.generate_config_py(target)[source]#

Generate config.py file containing system_info information used during building the package.

Usage:: config[‘py_modules’].append((packagename, ‘__config__’,generate_config_py))

numpy.distutils.misc_util.get_build_architecture()[source]#

numpy.distutils.misc_util.get_cmd(cmdname, _cache={})[source]#

numpy.distutils.misc_util.get_data_files(data)[source]#

numpy.distutils.misc_util.get_dependencies(sources)[source]#

numpy.distutils.misc_util.get_ext_source_files(ext)[source]#

numpy.distutils.misc_util.get_frame(level=0)[source]#: Return frame object from call stack with given level.

numpy.distutils.misc_util.get_info(pkgname, dirs=None)[source]#

Return an info dict for a given C library.

The info dict contains the necessary options to use the C library.

Parameters:

pkgnamestr: Name of the package (should match the name of the .ini file, without the extension, e.g. foo for the file foo.ini).
dirssequence, optional: If given, should be a sequence of additional directories where to look for npy-pkg-config files. Those directories are searched prior to the NumPy directory.

Returns:

infodict: The dictionary with build information.

Raises:

PkgNotFound: If the package is not found.

See also

Configuration.add_npy_pkg_config, Configuration.add_installed_library
get_pkg_info

Examples

To get the necessary information for the npymath library from NumPy:

>>> npymath_info = np.distutils.misc_util.get_info('npymath')
>>> npymath_info                                    
{'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
['.../numpy/_core/lib'], 'include_dirs': ['.../numpy/_core/include']}

This info dict can then be used as input to a Configuration instance:

config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

numpy.distutils.misc_util.get_language(sources)[source]#: Determine language value (c,f77,f90) from sources

numpy.distutils.misc_util.get_lib_source_files(lib)[source]#

numpy.distutils.misc_util.get_mathlibs(path=None)[source]#: Return the MATHLIB line from numpyconfig.h

numpy.distutils.misc_util.get_num_build_jobs()[source]#

Get number of parallel build jobs set by the –parallel command line argument of setup.py If the command did not receive a setting the environment variable NPY_NUM_BUILD_JOBS is checked. If that is unset, return the number of processors on the system, with a maximum of 8 (to prevent overloading the system if there a lot of CPUs).

Returns:

outint: number of parallel jobs that can be run

numpy.distutils.misc_util.get_numpy_include_dirs()[source]#

numpy.distutils.misc_util.get_pkg_info(pkgname, dirs=None)[source]#

Return library info for the given package.

Parameters:

pkgnamestr: Name of the package (should match the name of the .ini file, without the extension, e.g. foo for the file foo.ini).
dirssequence, optional: If given, should be a sequence of additional directories where to look for npy-pkg-config files. Those directories are searched prior to the NumPy directory.

Returns:

pkginfoclass instance: The LibraryInfo instance containing the build information.

Raises:

PkgNotFound: If the package is not found.