87 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			87 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
"""Fortran to Python Interface Generator.
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Copyright 1999 -- 2011 Pearu Peterson all rights reserved.
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Copyright 2011 -- present NumPy Developers.
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Permission to use, modify, and distribute this software is given under the terms
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of the NumPy License.
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NO WARRANTY IS EXPRESSED OR IMPLIED.  USE AT YOUR OWN RISK.
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"""
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__all__ = ['run_main', 'get_include']
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import os
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import subprocess
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import sys
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import warnings
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from numpy.exceptions import VisibleDeprecationWarning
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from . import diagnose, f2py2e
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run_main = f2py2e.run_main
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main = f2py2e.main
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def get_include():
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    """
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    Return the directory that contains the ``fortranobject.c`` and ``.h`` files.
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    .. note::
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        This function is not needed when building an extension with
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        `numpy.distutils` directly from ``.f`` and/or ``.pyf`` files
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        in one go.
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    Python extension modules built with f2py-generated code need to use
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    ``fortranobject.c`` as a source file, and include the ``fortranobject.h``
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    header. This function can be used to obtain the directory containing
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    both of these files.
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    Returns
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    -------
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    include_path : str
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        Absolute path to the directory containing ``fortranobject.c`` and
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        ``fortranobject.h``.
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    Notes
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    -----
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    .. versionadded:: 1.21.1
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    Unless the build system you are using has specific support for f2py,
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    building a Python extension using a ``.pyf`` signature file is a two-step
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    process. For a module ``mymod``:
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    * Step 1: run ``python -m numpy.f2py mymod.pyf --quiet``. This
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      generates ``mymodmodule.c`` and (if needed)
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      ``mymod-f2pywrappers.f`` files next to ``mymod.pyf``.
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    * Step 2: build your Python extension module. This requires the
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      following source files:
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      * ``mymodmodule.c``
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      * ``mymod-f2pywrappers.f`` (if it was generated in Step 1)
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      * ``fortranobject.c``
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    See Also
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    --------
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    numpy.get_include : function that returns the numpy include directory
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    """
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    return os.path.join(os.path.dirname(__file__), 'src')
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def __getattr__(attr):
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    # Avoid importing things that aren't needed for building
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    # which might import the main numpy module
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    if attr == "test":
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        from numpy._pytesttester import PytestTester
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        test = PytestTester(__name__)
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        return test
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    else:
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        raise AttributeError(f"module {__name__!r} has no attribute {attr!r}")
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def __dir__():
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    return list(globals().keys() | {"test"})
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