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Direktori : /opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/f2py/ |
Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/f2py/__init__.py |
#!/usr/bin/env python3 """Fortran to Python Interface Generator. """ __all__ = ['run_main', 'compile', 'get_include'] import sys import subprocess import os from . import f2py2e from . import diagnose run_main = f2py2e.run_main main = f2py2e.main def compile(source, modulename='untitled', extra_args='', verbose=True, source_fn=None, extension='.f', full_output=False ): """ Build extension module from a Fortran 77 source string with f2py. Parameters ---------- source : str or bytes Fortran source of module / subroutine to compile .. versionchanged:: 1.16.0 Accept str as well as bytes modulename : str, optional The name of the compiled python module extra_args : str or list, optional Additional parameters passed to f2py .. versionchanged:: 1.16.0 A list of args may also be provided. verbose : bool, optional Print f2py output to screen source_fn : str, optional Name of the file where the fortran source is written. The default is to use a temporary file with the extension provided by the ``extension`` parameter extension : ``{'.f', '.f90'}``, optional Filename extension if `source_fn` is not provided. The extension tells which fortran standard is used. The default is ``.f``, which implies F77 standard. .. versionadded:: 1.11.0 full_output : bool, optional If True, return a `subprocess.CompletedProcess` containing the stdout and stderr of the compile process, instead of just the status code. .. versionadded:: 1.20.0 Returns ------- result : int or `subprocess.CompletedProcess` 0 on success, or a `subprocess.CompletedProcess` if ``full_output=True`` Examples -------- .. literalinclude:: ../../source/f2py/code/results/compile_session.dat :language: python """ import tempfile import shlex if source_fn is None: f, fname = tempfile.mkstemp(suffix=extension) # f is a file descriptor so need to close it # carefully -- not with .close() directly os.close(f) else: fname = source_fn if not isinstance(source, str): source = str(source, 'utf-8') try: with open(fname, 'w') as f: f.write(source) args = ['-c', '-m', modulename, f.name] if isinstance(extra_args, str): is_posix = (os.name == 'posix') extra_args = shlex.split(extra_args, posix=is_posix) args.extend(extra_args) c = [sys.executable, '-c', 'import numpy.f2py as f2py2e;f2py2e.main()'] + args try: cp = subprocess.run(c, capture_output=True) except OSError: # preserve historic status code used by exec_command() cp = subprocess.CompletedProcess(c, 127, stdout=b'', stderr=b'') else: if verbose: print(cp.stdout.decode()) finally: if source_fn is None: os.remove(fname) if full_output: return cp else: return cp.returncode def get_include(): """ Return the directory that contains the ``fortranobject.c`` and ``.h`` files. .. note:: This function is not needed when building an extension with `numpy.distutils` directly from ``.f`` and/or ``.pyf`` files in one go. Python extension modules built with f2py-generated code need to use ``fortranobject.c`` as a source file, and include the ``fortranobject.h`` header. This function can be used to obtain the directory containing both of these files. Returns ------- include_path : str Absolute path to the directory containing ``fortranobject.c`` and ``fortranobject.h``. Notes ----- .. versionadded:: 1.21.1 Unless the build system you are using has specific support for f2py, building a Python extension using a ``.pyf`` signature file is a two-step process. For a module ``mymod``: * Step 1: run ``python -m numpy.f2py mymod.pyf --quiet``. This generates ``_mymodmodule.c`` and (if needed) ``_fblas-f2pywrappers.f`` files next to ``mymod.pyf``. * Step 2: build your Python extension module. This requires the following source files: * ``_mymodmodule.c`` * ``_mymod-f2pywrappers.f`` (if it was generated in Step 1) * ``fortranobject.c`` See Also -------- numpy.get_include : function that returns the numpy include directory """ return os.path.join(os.path.dirname(__file__), 'src') def __getattr__(attr): # Avoid importing things that aren't needed for building # which might import the main numpy module if attr == "test": from numpy._pytesttester import PytestTester test = PytestTester(__name__) return test else: raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr)) def __dir__(): return list(globals().keys() | {"test"})