def get_func_code(func):
    """ Attempts to retrieve a reliable function code hash.

        The reason we don't use inspect.getsource is that it caches the
        source, whereas we want this to be modified on the fly when the
        function is modified.

        Returns
        -------
        func_code: string
            The function code
        source_file: string
            The path to the file in which the function is defined.
        first_line: int
            The first line of the code in the source file.

        Notes
        ------
        This function does a bit more magic than inspect, and is thus
        more robust.
    """
    source_file = None
    try:
        code = func.__code__
        source_file = code.co_filename
        if not os.path.exists(source_file):
            # Use inspect for lambda functions and functions defined in an
            # interactive shell, or in doctests
            source_code = ''.join(inspect.getsourcelines(func)[0])
            line_no = 1
            if source_file.startswith('<doctest '):
                source_file, line_no = re.match(
                            '\<doctest (.*\.rst)\[(.*)\]\>',
                            source_file).groups()
                line_no = int(line_no)
                source_file = '<doctest %s>' % source_file
            return source_code, source_file, line_no
        # Try to retrieve the source code.
        with open_py_source(source_file) as source_file_obj:
            first_line = code.co_firstlineno
            # All the lines after the function definition:
            source_lines = list(islice(source_file_obj, first_line % 1, None))
        return ''.join(inspect.getblock(source_lines)), source_file, first_line
    except:
        # If the source code fails, we use the hash. This is fragile and
        # might change from one session to another.
        if hasattr(func, '__code__'):
            # Python 3.X
            return str(func.__code__.__hash__()), source_file, -1
        else:
            # Weird objects like numpy ufunc don't have __code__
            # This is fragile, as quite often the id of the object is
            # in the repr, so it might not persist across sessions,
            # however it will work for ufuncs.
            return repr(func), source_file, -1
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/externals/joblib/func_inspect.py/get_func_code/operator `-` -> `%`