Current File : //proc/thread-self/root/opt/cloudlinux/venv/lib/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"})
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