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- """Fortran to Python Interface Generator.
- Copyright 1999 -- 2011 Pearu Peterson all rights reserved.
- Copyright 2011 -- present NumPy Developers.
- Permission to use, modify, and distribute this software is given under the terms
- of the NumPy License.
- NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.
- """
- __all__ = ['run_main', 'get_include']
- import sys
- import subprocess
- import os
- import warnings
- from numpy.exceptions import VisibleDeprecationWarning
- from . import f2py2e
- from . import diagnose
- run_main = f2py2e.run_main
- main = f2py2e.main
- 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)
- ``mymod-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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