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File: //proc/self/root/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyc
�
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    Return the directory that contains the NumPy \*.h header files.

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    Notes
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    When using ``distutils``, for example in ``setup.py``.
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        import numpy as np
        ...
        Extension('extension_name', ...
                include_dirs=[np.get_include()])
        ...

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    Decorator class to deprecate old functions.

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    Parameters
    ----------
    func : function
        The function to be deprecated.
    old_name : str, optional
        The name of the function to be deprecated. Default is None, in
        which case the name of `func` is used.
    new_name : str, optional
        The new name for the function. Default is None, in which case the
        deprecation message is that `old_name` is deprecated. If given, the
        deprecation message is that `old_name` is deprecated and `new_name`
        should be used instead.
    message : str, optional
        Additional explanation of the deprecation.  Displayed in the
        docstring after the warning.

    Returns
    -------
    old_func : function
        The deprecated function.

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

    >>> olduint = np.deprecate(np.uint)
    >>> olduint(6)
    /usr/lib/python2.5/site-packages/numpy/lib/utils.py:114:
    DeprecationWarning: uint32 is deprecated
      warnings.warn(str1, DeprecationWarning)
    6

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        Input array. It must conform to the Python-side of the array
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    Returns
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    (low, high) : tuple of 2 integers
        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.

    Examples
    --------
    >>> I = np.eye(2, dtype='f'); I.dtype
    dtype('float32')
    >>> low, high = np.byte_bounds(I)
    >>> high - low == I.size*I.itemsize
    True
    >>> I = np.eye(2, dtype='G'); I.dtype
    dtype('complex192')
    >>> low, high = np.byte_bounds(I)
    >>> high - low == I.size*I.itemsize
    True

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    vardict : dict, optional
        A dictionary possibly containing ndarrays.  Default is globals().

    Returns
    -------
    out : None
        Returns 'None'.

    Notes
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    Prints out the name, shape, bytes and type of all of the ndarrays
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    Examples
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    >>> a = np.arange(10)
    >>> b = np.ones(20)
    >>> np.who()
    Name            Shape            Bytes            Type
    ===========================================================
    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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        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
    --------
    source, lookfor

    Notes
    -----
    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 ***
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    ...
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        Input object. This can be any object (function, class, module,
        ...).
    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
    --------
    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)"""
        if isinstance(x, (float, int, number)):
            return compiled_interp([x], xp, fp, left, right).item()
        else:
            return compiled_interp(x, xp, fp, left, right)

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    Parameters
    ----------
    what : str
        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
    --------
    source, info

    Notes
    -----
    Relevance is determined only roughly, by checking if the keywords occur
    in the function name, at the start of a docstring, etc.

    Examples
    --------
    >>> np.lookfor('binary representation')
    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
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    --------
    safe_eval

    cC`stjdt�dS(Ns3SafeEval is deprecated in 1.10 and will be removed.(R/R*R+(R(((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyR)�s	cC`s/|j}t|d|j|j�}||�S(Ntvisit(R�R�R tdefault(R(tnodeR�R�((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyR�s	cC`std|j��dS(Ns Unsupported source construct: %s(tSyntaxErrorR�(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyR scC`s|j|j�S(N(Rtbody(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pytvisitExpressionscC`s|jS(N(R(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pytvisitNum	scC`s|jS(N(R�(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pytvisitStrscC`s|jS(N(R�(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyt
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St|j|j�rX|j|j�Std|j��dS(NisUnknown unary op: %r(tastRWtoptUAddRtoperandtUSubR"(R(R!R0((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pytvisitUnaryOpscC`sP|jdkrtS|jdkr&tS|jdkr9dStd|j��dS(NR�R�RsUnknown name: %s(RXR�R�RR"(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyt	visitName%scC`s|jS(N(R�(R(R!((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pytvisitNameConstant/s(R R8R2R)RR R$R%R&R'R+R.R/R5R6R7(((sB/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/utils.pyR�s
													
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    Protected string evaluation.

    Evaluate a string containing a Python literal expression without
    allowing the execution of arbitrary non-literal code.

    Parameters
    ----------
    source : str
        The string to evaluate.

    Returns
    -------
    obj : object
       The result of evaluating `source`.

    Raises
    ------
    SyntaxError
        If the code has invalid Python syntax, or if it contains
        non-literal code.

    Examples
    --------
    >>> 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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