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    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
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    nanstr : str, optional
        String representation of floating point not-a-number (default nan).
    infstr : str, optional
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            - 'timedelta' : a `numpy.timedelta64`
            - 'datetime' : a `numpy.datetime64`
            - 'float'
            - 'longfloat' : 128-bit floats
            - 'complexfloat'
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            - 'numpy_str' : types `numpy.string_` and `numpy.unicode_`
            - 'str' : all other strings

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            - 'float_kind' : sets 'float' and 'longfloat'
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            - 'str_kind' : sets 'str' and 'numpystr'

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    Examples
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    >>> 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]

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    >>> eps = np.finfo(float).eps
    >>> x = np.arange(4.)
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