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$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $

i(tdivisiontabsolute_importtprint_functiontarray2stringtset_printoptionstget_printoptionstrestructuredtextNi(t	get_identi(tnumerictypes(tmaximumtminimumtabsolutet	not_equaltisnantisinf(tarraytformat_longfloattdatetime_as_stringt
datetime_datatdtype(travel(tasarraycC`s||S(N((txty((sH/opt/alt/python27/lib64/python2.7/site-packages/numpy/core/arrayprint.pytproduct-si�iiKtnantinfcC`s�|dk	r|an|dk	r*|an|dk	r?|an|dk	rT|an|dk	rk|an|dk	r�|an|dk	r�|an|adS(s�

    Set printing options.

    These options determine the way floating point numbers, arrays and
    other NumPy objects are displayed.

    Parameters
    ----------
    precision : int, optional
        Number of digits of precision for floating point output (default 8).
    threshold : int, optional
        Total number of array elements which trigger summarization
        rather than full repr (default 1000).
    edgeitems : int, optional
        Number of array items in summary at beginning and end of
        each dimension (default 3).
    linewidth : int, optional
        The number of characters per line for the purpose of inserting
        line breaks (default 75).
    suppress : bool, optional
        Whether or not suppress printing of small floating point values
        using scientific notation (default False).
    nanstr : str, optional
        String representation of floating point not-a-number (default nan).
    infstr : str, optional
        String representation of floating point infinity (default inf).
    formatter : dict of callables, optional
        If not None, the keys should indicate the type(s) that the respective
        formatting function applies to.  Callables should return a string.
        Types that are not specified (by their corresponding keys) are handled
        by the default formatters.  Individual types for which a formatter
        can be set are::

            - 'bool'
            - 'int'
            - 'timedelta' : a `numpy.timedelta64`
            - 'datetime' : a `numpy.datetime64`
            - 'float'
            - 'longfloat' : 128-bit floats
            - 'complexfloat'
            - 'longcomplexfloat' : composed of two 128-bit floats
            - 'numpystr' : types `numpy.string_` and `numpy.unicode_`
            - 'object' : `np.object_` arrays
            - 'str' : all other strings

        Other keys that can be used to set a group of types at once are::

            - 'all' : sets all types
            - 'int_kind' : sets 'int'
            - 'float_kind' : sets 'float' and 'longfloat'
            - 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat'
            - 'str_kind' : sets 'str' and 'numpystr'

    See Also
    --------
    get_printoptions, set_string_function, array2string

    Notes
    -----
    `formatter` is always reset with a call to `set_printoptions`.

    Examples
    --------
    Floating point precision can be set:

    >>> np.set_printoptions(precision=4)
    >>> print(np.array([1.123456789]))
    [ 1.1235]

    Long arrays can be summarised:

    >>> np.set_printoptions(threshold=5)
    >>> print(np.arange(10))
    [0 1 2 ..., 7 8 9]

    Small results can be suppressed:

    >>> eps = np.finfo(float).eps
    >>> x = np.arange(4.)
    >>> x**2 - (x + eps)**2
    array([ -4.9304e-32,  -4.4409e-16,   0.0000e+00,   0.0000e+00])
    >>> np.set_printoptions(suppress=True)
    >>> x**2 - (x + eps)**2
    array([-0., -0.,  0.,  0.])

    A custom formatter can be used to display array elements as desired:

    >>> np.set_printoptions(formatter={'all':lambda x: 'int: '+str(-x)})
    >>> x = np.arange(3)
    >>> x
    array([int: 0, int: -1, int: -2])
    >>> np.set_printoptions()  # formatter gets reset
    >>> x
    array([0, 1, 2])

    To put back the default options, you can use:

    >>> np.set_printoptions(edgeitems=3,infstr='inf',
    ... linewidth=75, nanstr='nan', precision=8,
    ... suppress=False, threshold=1000, formatter=None)
    N(	tNonet_line_widtht_summaryThresholdt_summaryEdgeItemst_float_output_precisiont_float_output_suppress_smallt_nan_strt_inf_strt
_formatter(t	precisiont	thresholdt	edgeitemst	linewidthtsuppresstnanstrtinfstrt	formatter((sH/opt/alt/python27/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR;sn						cC`s=tdtdtdtdtdtdtdtdt�}|S(	s	
    Return the current print options.

    Returns
    -------
    print_opts : dict
        Dictionary of current print options with keys

          - precision : int
          - threshold : int
          - edgeitems : int
          - linewidth : int
          - suppress : bool
          - nanstr : str
          - infstr : str
          - formatter : dict of callables

        For a full description of these options, see `set_printoptions`.

    See Also
    --------
    set_printoptions, set_string_function

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    Like the python 3.2 reprlib.recursive_repr, but forwards *args and **kwargs

    Decorates a function such that if it calls itself with the same first
    argument, it returns `fillvalue` instead of recursing.

    Largely copied from reprlib.recursive_repr
    c`s1t��tj�����fd��}|S(Nc`s[t|�t�f}|�kr%�S�j|�z�|||�SWd�j|�XdS(N(tidRtaddtdiscard(tselftargstkwargsRf(tft	fillvaluetrepr_running(sH/opt/alt/python27/lib64/python2.7/site-packages/numpy/core/arrayprint.pytwrapper}s
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    Return a string representation of an array.

    Parameters
    ----------
    a : ndarray
        Input array.
    max_line_width : int, optional
        The maximum number of columns the string should span. Newline
        characters splits the string appropriately after array elements.
    precision : int, optional
        Floating point precision. Default is the current printing
        precision (usually 8), which can be altered using `set_printoptions`.
    suppress_small : bool, optional
        Represent very small numbers as zero. A number is "very small" if it
        is smaller than the current printing precision.
    separator : str, optional
        Inserted between elements.
    prefix : str, optional
        An array is typically printed as::

          'prefix(' + array2string(a) + ')'

        The length of the prefix string is used to align the
        output correctly.
    style : function, optional
        A function that accepts an ndarray and returns a string.  Used only
        when the shape of `a` is equal to ``()``, i.e. for 0-D arrays.
    formatter : dict of callables, optional
        If not None, the keys should indicate the type(s) that the respective
        formatting function applies to.  Callables should return a string.
        Types that are not specified (by their corresponding keys) are handled
        by the default formatters.  Individual types for which a formatter
        can be set are::

            - 'bool'
            - 'int'
            - 'timedelta' : a `numpy.timedelta64`
            - 'datetime' : a `numpy.datetime64`
            - 'float'
            - 'longfloat' : 128-bit floats
            - 'complexfloat'
            - 'longcomplexfloat' : composed of two 128-bit floats
            - 'numpystr' : types `numpy.string_` and `numpy.unicode_`
            - 'str' : all other strings

        Other keys that can be used to set a group of types at once are::

            - 'all' : sets all types
            - 'int_kind' : sets 'int'
            - 'float_kind' : sets 'float' and 'longfloat'
            - 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat'
            - 'str_kind' : sets 'str' and 'numpystr'

    Returns
    -------
    array_str : str
        String representation of the array.

    Raises
    ------
    TypeError
        if a callable in `formatter` does not return a string.

    See Also
    --------
    array_str, array_repr, set_printoptions, get_printoptions

    Notes
    -----
    If a formatter is specified for a certain type, the `precision` keyword is
    ignored for that type.

    This is a very flexible function; `array_repr` and `array_str` are using
    `array2string` internally so keywords with the same name should work
    identically in all three functions.

    Examples
    --------
    >>> x = np.array([1e-16,1,2,3])
    >>> print(np.array2string(x, precision=2, separator=',',
    ...                       suppress_small=True))
    [ 0., 1., 2., 3.]

    >>> x  = np.arange(3.)
    >>> np.array2string(x, formatter={'float_kind':lambda x: "%.2f" % x})
    '[0.00 1.00 2.00]'

    >>> x  = np.arange(3)
    >>> np.array2string(x, formatter={'int':lambda x: hex(x)})
    '[0x0L 0x1L 0x2L]'

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