distutils.misc_util
-
numpy.distutils.misc_util.get_numpy_include_dirs()[source]
-
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.appendpath(prefix, path)[source]
-
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_cmd(cmdname, _cache={})[source]
-
numpy.distutils.misc_util.allpath(name)[source] -
Convert a /-separated pathname to one using the OS’s path separator.
-
numpy.distutils.misc_util.get_mathlibs(path=None)[source] -
Return the MATHLIB line from numpyconfig.h
-
numpy.distutils.misc_util.terminal_has_colors()[source]
-
numpy.distutils.misc_util.red_text(s)[source]
-
numpy.distutils.misc_util.green_text(s)[source]
-
numpy.distutils.misc_util.yellow_text(s)[source]
-
numpy.distutils.misc_util.blue_text(s)[source]
-
numpy.distutils.misc_util.cyan_text(s)[source]
-
numpy.distutils.misc_util.cyg2win32(path)[source]
-
numpy.distutils.misc_util.mingw32()[source] -
Return true when using mingw32 environment.
-
numpy.distutils.misc_util.all_strings(lst)[source] -
Return True if all items in lst are string objects.
-
numpy.distutils.misc_util.has_f_sources(sources)[source] -
Return True if sources contains Fortran files
-
numpy.distutils.misc_util.has_cxx_sources(sources)[source] -
Return True if sources contains C++ files
-
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.get_dependencies(sources)[source]
-
numpy.distutils.misc_util.is_local_src_dir(directory)[source] -
Return true if directory is local directory.
-
numpy.distutils.misc_util.get_ext_source_files(ext)[source]
-
numpy.distutils.misc_util.get_script_files(scripts)[source]
-
numpy.distutils.misc_util.get_lib_source_files(lib)[source]
-
numpy.distutils.misc_util.get_data_files(data)[source]
-
numpy.distutils.misc_util.dot_join(*args)[source]
-
numpy.distutils.misc_util.get_frame(level=0)[source] -
Return frame object from call stack with given level.
-
numpy.distutils.misc_util.minrelpath(path)[source] -
Resolve and ‘.’ from path.
-
numpy.distutils.misc_util.njoin(*path)[source] -
Join two or more pathname components + - convert a /-separated pathname to one using the OS’s path separator. - resolve and from path.
Either passing n arguments as in njoin(‘a’,’b’), or a sequence of n names as in njoin([‘a’,’b’]) is handled, or a mixture of such arguments.
-
numpy.distutils.misc_util.is_sequence(seq)[source]
-
numpy.distutils.misc_util.is_string(s)[source]
-
numpy.distutils.misc_util.as_list(seq)[source]
-
numpy.distutils.misc_util.gpaths(paths, local_path='', include_non_existing=True)[source] -
Apply glob to paths and prepend local_path if needed.
-
numpy.distutils.misc_util.get_language(sources)[source] -
Determine language value (c,f77,f90) from sources
-
numpy.distutils.misc_util.quote_args(args)[source]
-
numpy.distutils.misc_util.get_build_architecture()[source]
-
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
Configurationinstance:config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)
-
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
LibraryInfoinstance containing the build information.
-
- Raises
-
- PkgNotFound
-
If the package is not found.
See also
-
Configuration.add_npy_pkg_config,Configuration.add_installed_library -
get_info
-
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
-
© 2005–2021 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.20/reference/distutils/misc_util.html