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    Returns
    -------
    dirs : str or list of str
        If `type` is None, `dirs` is a string containing the path to the
        numarray headers.
        If `type` is not None, `dirs` is a list of strings with first the
        path(s) to the numarray headers, followed by the path to the NumPy
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    Notes
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        The function to be deprecated.
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    new_name : str, optional
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    message : str, optional
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        after the warning.

    Returns
    -------
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    Examples
    --------
    Note that ``olduint`` returns a value after printing Deprecation Warning:

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    >>> olduint(6)
    /usr/lib/python2.5/site-packages/numpy/lib/utils.py:114:
    DeprecationWarning: uint32 is deprecated
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        The first integer is the first byte of the array, the second integer is
        just past the last byte of the array.  If `a` is not contiguous it
        will not use every byte between the (`low`, `high`) values.

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    >>> high - low == I.size*I.itemsize
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    Name            Shape            Bytes            Type
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    a               10               40               int32
    b               20               160              float64
    Upper bound on total bytes  =       200

    >>> d = {'x': np.arange(2.0), 'y': np.arange(3.0), 'txt': 'Some str',
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    Name            Shape            Bytes            Type
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    Get help information for a function, class, or module.

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        modules are searched for matching objects.
        If None, information about `info` itself is returned.
    maxwidth : int, optional
        Printing width.
    output : file like object, optional
        File like object that the output is written to, default is ``stdout``.
        The object has to be opened in 'w' or 'a' mode.
    toplevel : str, optional
        Start search at this level.

    See Also
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    source, lookfor

    Notes
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    When used interactively with an object, ``np.info(obj)`` is equivalent to
    ``help(obj)`` on the Python prompt or ``obj?`` on the IPython prompt.

    Examples
    --------
    >>> np.info(np.polyval) # doctest: +SKIP
       polyval(p, x)
         Evaluate the polynomial p at x.
         ...

    When using a string for `object` it is possible to get multiple results.

    >>> np.info('fft') # doctest: +SKIP
         *** Found in numpy ***
    Core FFT routines
    ...
         *** Found in numpy.fft ***
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    ...
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    Print or write to a file the source code for a Numpy object.

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    output : file object, optional
        If `output` not supplied then source code is printed to screen
        (sys.stdout).  File object must be created with either write 'w' or
        append 'a' modes.

    See Also
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    lookfor, info

    Examples
    --------
    >>> np.source(np.interp)                        #doctest: +SKIP
    In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py
    def interp(x, xp, fp, left=None, right=None):
        """.... (full docstring printed)"""
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        String containing words to look for.
    module : str or list, optional
        Name of module(s) whose docstrings to go through.
    import_modules : bool, optional
        Whether to import sub-modules in packages. Default is True.
    regenerate : bool, optional
        Whether to re-generate the docstring cache. Default is False.
    output : file-like, optional
        File-like object to write the output to. If omitted, use a pager.

    See Also
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    source, info

    Notes
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    in the function name, at the start of a docstring, etc.

    Examples
    --------
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    Search results for 'binary representation'
    ------------------------------------------
    numpy.binary_repr
        Return the binary representation of the input number as a string.
    numpy.core.setup_common.long_double_representation
        Given a binary dump as given by GNU od -b, look for long double
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        The string to evaluate.

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    obj : object
       The result of evaluating `source`.

    Raises
    ------
    SyntaxError
        If the code has invalid Python syntax, or if it contains non-literal
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    >>> np.safe_eval('1')
    1
    >>> np.safe_eval('[1, 2, 3]')
    [1, 2, 3]
    >>> np.safe_eval('{"foo": ("bar", 10.0)}')
    {'foo': ('bar', 10.0)}

    >>> np.safe_eval('import os')
    Traceback (most recent call last):
      ...
    SyntaxError: invalid syntax

    >>> np.safe_eval('open("/home/user/.ssh/id_dsa").read()')
    Traceback (most recent call last):
      ...
    SyntaxError: Unsupported source construct: compiler.ast.CallFunc

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