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.      See also  
Configuration.add_npy_pkg_config, Configuration.add_installed_library

get_info
  
   numpy.distutils.misc_util.get_script_files(scripts)[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.green_text(s)[source]

   numpy.distutils.misc_util.has_cxx_sources(sources)[source]
 
Return True if sources contains C++ files 
   numpy.distutils.misc_util.has_f_sources(sources)[source]
 
Return True if sources contains Fortran files 
   numpy.distutils.misc_util.is_local_src_dir(directory)[source]
 
Return true if directory is local directory. 
   numpy.distutils.misc_util.is_sequence(seq)[source]

   numpy.distutils.misc_util.is_string(s)[source]

   numpy.distutils.misc_util.mingw32()[source]
 
Return true when using mingw32 environment. 
   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.red_text(s)[source]

   numpy.distutils.misc_util.sanitize_cxx_flags(cxxflags)[source]
 
Some flags are valid for C but not C++. Prune them. 
   numpy.distutils.misc_util.terminal_has_colors()[source]

   numpy.distutils.misc_util.yellow_text(s)[source]