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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). See Also -------- get_printoptions, set_string_function 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.]) N(tNonet _line_widtht_summaryThresholdt_summaryEdgeItemst_float_output_precisiont_float_output_suppress_smallt_nan_strt_inf_str(t precisiont thresholdt edgeitemst linewidthtsuppresstnanstrtinfstr((s;/usr/lib64/python2.6/site-packages/numpy/core/arrayprint.pyR"s>             cCs7tdtdtdtdtdtdtdtƒ}|S(sß 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 For a full description of these options, see `set_printoptions`. 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See Also -------- array_str, array_repr, set_printoptions Examples -------- >>> x = np.array([1e-16,1,2,3]) >>> print np.array2string(x, precision=2, separator=',', ... suppress_small=True) [ 0., 1., 2., 3.] is[](( RRtitemR;R<R_R*RbRERR^( R+RSRRTRURVtstyleR R]((s;/usr/lib64/python2.6/site-packages/numpy/core/arrayprint.pyRês2   cCs[t|iƒƒt|iƒƒ|jo||iƒd7}|}n||7}||fS(Ns (R#trstrip(tstlinetwordt max_line_lenR\((s;/usr/lib64/python2.6/site-packages/numpy/core/arrayprint.pyt _extendLine,s )  cCs}|djo7|iƒ}t|tƒot|ƒ}nt|ƒS|o/d|t|ƒjo|||} } } ndt|ƒd} } } |djo"d} |} xFt| ƒD]8}|||ƒ|}t| | |||ƒ\} } qºW| o"t| | | ||ƒ\} } nxMt| ddƒD]9}||| ƒ|}t| | |||ƒ\} } q2W||dƒ}t| | |||ƒ\} } | | d7} d| t|ƒ} n·d} |iƒ}x‹t| ƒD]}}|djo| |7} n| t ||||d|d||||ƒ7} | iƒ|iƒd t |ddƒ} qâW| o| || d 7} nx™t| ddƒD]…}| p || jo| |7} n| t || ||d|d||||ƒ7} | iƒ|iƒd t |ddƒ} q“W| p | djo| |7} n| t |d||d|d||||ƒiƒd7} | S( sgformatArray is designed for two modes of operation: 1. Full output 2. 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