Source

pypy / lib_pypy / numpypy / core / arrayprint.py

The branch 'remove-globals-in-jit' does not exist.
Full commit
  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
"""Array printing function

$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
__all__ = ["array2string", "set_printoptions", "get_printoptions"]
__docformat__ = 'restructuredtext'

#
# Written by Konrad Hinsen <hinsenk@ere.umontreal.ca>
# last revision: 1996-3-13
# modified by Jim Hugunin 1997-3-3 for repr's and str's (and other details)
# and by Perry Greenfield 2000-4-1 for numarray
# and by Travis Oliphant  2005-8-22 for numpy

import sys
import _numpypy as _nt
from _numpypy import maximum, minimum, absolute, not_equal, isnan, isinf
#from _numpypy import format_longfloat, datetime_as_string, datetime_data
from fromnumeric import ravel


def product(x, y): return x*y

_summaryEdgeItems = 3     # repr N leading and trailing items of each dimension
_summaryThreshold = 1000 # total items > triggers array summarization

_float_output_precision = 8
_float_output_suppress_small = False
_line_width = 75
_nan_str = 'nan'
_inf_str = 'inf'
_formatter = None  # formatting function for array elements

if sys.version_info[0] >= 3:
    from functools import reduce

def set_printoptions(precision=None, threshold=None, edgeitems=None,
                     linewidth=None, suppress=None,
                     nanstr=None, infstr=None,
                     formatter=None):
    """
    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
            - 'numpy_str' : 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'

    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)
    """

    global _summaryThreshold, _summaryEdgeItems, _float_output_precision, \
           _line_width, _float_output_suppress_small, _nan_str, _inf_str, \
           _formatter
    if linewidth is not None:
        _line_width = linewidth
    if threshold is not None:
        _summaryThreshold = threshold
    if edgeitems is not None:
        _summaryEdgeItems = edgeitems
    if precision is not None:
        _float_output_precision = precision
    if suppress is not None:
        _float_output_suppress_small = not not suppress
    if nanstr is not None:
        _nan_str = nanstr
    if infstr is not None:
        _inf_str = infstr
    _formatter = formatter

def get_printoptions():
    """
    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

    """
    d = dict(precision=_float_output_precision,
             threshold=_summaryThreshold,
             edgeitems=_summaryEdgeItems,
             linewidth=_line_width,
             suppress=_float_output_suppress_small,
             nanstr=_nan_str,
             infstr=_inf_str,
             formatter=_formatter)
    return d

def _leading_trailing(a):
    import numeric as _nc
    if a.ndim == 1:
        if len(a) > 2*_summaryEdgeItems:
            b = _nc.concatenate((a[:_summaryEdgeItems],
                                     a[-_summaryEdgeItems:]))
        else:
            b = a
    else:
        if len(a) > 2*_summaryEdgeItems:
            l = [_leading_trailing(a[i]) for i in range(
                min(len(a), _summaryEdgeItems))]
            l.extend([_leading_trailing(a[-i]) for i in range(
                min(len(a), _summaryEdgeItems),0,-1)])
        else:
            l = [_leading_trailing(a[i]) for i in range(0, len(a))]
        b = _nc.concatenate(tuple(l))
    return b

def _boolFormatter(x):
    if x:
        return ' True'
    else:
        return 'False'


def repr_format(x):
    return repr(x)

def _array2string(a, max_line_width, precision, suppress_small, separator=' ',
                  prefix="", formatter=None):

    if max_line_width is None:
        max_line_width = _line_width

    if precision is None:
        precision = _float_output_precision

    if suppress_small is None:
        suppress_small = _float_output_suppress_small

    if formatter is None:
        formatter = _formatter

    if a.size > _summaryThreshold:
        summary_insert = "..., "
        data = _leading_trailing(a)
    else:
        summary_insert = ""
        data = ravel(a)

    formatdict = {'bool' : _boolFormatter,
                  'int' : IntegerFormat(data),
                  'float' : FloatFormat(data, precision, suppress_small),
                  'longfloat' : LongFloatFormat(precision),
                  'complexfloat' : ComplexFormat(data, precision,
                                                 suppress_small),
                  'longcomplexfloat' : LongComplexFormat(precision),
                  'datetime' : DatetimeFormat(data),
                  'timedelta' : TimedeltaFormat(data),
                  'numpystr' : repr_format,
                  'str' : str}

    if formatter is not None:
        fkeys = [k for k in formatter.keys() if formatter[k] is not None]
        if 'all' in fkeys:
            for key in formatdict.keys():
                formatdict[key] = formatter['all']
        if 'int_kind' in fkeys:
            for key in ['int']:
                formatdict[key] = formatter['int_kind']
        if 'float_kind' in fkeys:
            for key in ['float', 'longfloat']:
                formatdict[key] = formatter['float_kind']
        if 'complex_kind' in fkeys:
            for key in ['complexfloat', 'longcomplexfloat']:
                formatdict[key] = formatter['complex_kind']
        if 'str_kind' in fkeys:
            for key in ['numpystr', 'str']:
                formatdict[key] = formatter['str_kind']
        for key in formatdict.keys():
            if key in fkeys:
                formatdict[key] = formatter[key]

    try:
        format_function = a._format
        msg = "The `_format` attribute is deprecated in Numpy 2.0 and " \
              "will be removed in 2.1. Use the `formatter` kw instead."
        import warnings
        warnings.warn(msg, DeprecationWarning)
    except AttributeError:
        # find the right formatting function for the array
        dtypeobj = a.dtype.type
        if issubclass(dtypeobj, _nt.bool_):
            format_function = formatdict['bool']
        elif issubclass(dtypeobj, _nt.integer):
            #if issubclass(dtypeobj, _nt.timedelta64):
            #    format_function = formatdict['timedelta']
            #else:
            format_function = formatdict['int']
        elif issubclass(dtypeobj, _nt.floating):
            if issubclass(dtypeobj, _nt.longfloat):
                format_function = formatdict['longfloat']
            else:
                format_function = formatdict['float']
        elif issubclass(dtypeobj, _nt.complexfloating):
            if issubclass(dtypeobj, _nt.clongfloat):
                format_function = formatdict['longcomplexfloat']
            else:
                format_function = formatdict['complexfloat']
        elif issubclass(dtypeobj, (_nt.unicode_, _nt.string_)):
            format_function = formatdict['numpystr']
        #elif issubclass(dtypeobj, _nt.datetime64):
        #    format_function = formatdict['datetime']
        else:
            format_function = formatdict['str']

    # skip over "["
    next_line_prefix = " "
    # skip over array(
    next_line_prefix += " "*len(prefix)

    lst = _formatArray(a, format_function, len(a.shape), max_line_width,
                       next_line_prefix, separator,
                       _summaryEdgeItems, summary_insert)[:-1]
    return lst

def _convert_arrays(obj):
    import numeric as _nc
    newtup = []
    for k in obj:
        if isinstance(k, _nc.ndarray):
            k = k.tolist()
        elif isinstance(k, tuple):
            k = _convert_arrays(k)
        newtup.append(k)
    return tuple(newtup)


def array2string(a, max_line_width=None, precision=None,
                 suppress_small=None, separator=' ', prefix="",
                 style=repr, formatter=None):
    """
    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
            - 'numpy_str' : 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.

    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]'

    """

    if a.shape == ():
        x = a.item()
        try:
            lst = a._format(x)
            msg = "The `_format` attribute is deprecated in Numpy " \
                  "2.0 and will be removed in 2.1. Use the " \
                  "`formatter` kw instead."
            import warnings
            warnings.warn(msg, DeprecationWarning)
        except AttributeError:
            if isinstance(x, tuple):
                x = _convert_arrays(x)
            lst = style(x)
    elif reduce(product, a.shape) == 0:
        # treat as a null array if any of shape elements == 0
        lst = "[]"
    else:
        lst = _array2string(a, max_line_width, precision, suppress_small,
                            separator, prefix, formatter=formatter)
    return lst

def _extendLine(s, line, word, max_line_len, next_line_prefix):
    if len(line.rstrip()) + len(word.rstrip()) >= max_line_len:
        s += line.rstrip() + "\n"
        line = next_line_prefix
    line += word
    return s, line


def _formatArray(a, format_function, rank, max_line_len,
                 next_line_prefix, separator, edge_items, summary_insert):
    """formatArray is designed for two modes of operation:

    1. Full output

    2. Summarized output

    """
    if rank == 0:
        obj = a.item()
        if isinstance(obj, tuple):
            obj = _convert_arrays(obj)
        return str(obj)

    if summary_insert and 2*edge_items < len(a):
        leading_items, trailing_items, summary_insert1 = \
                       edge_items, edge_items, summary_insert
    else:
        leading_items, trailing_items, summary_insert1 = 0, len(a), ""

    if rank == 1:
        s = ""
        line = next_line_prefix
        for i in xrange(leading_items):
            word = format_function(a[i]) + separator
            s, line = _extendLine(s, line, word, max_line_len, next_line_prefix)

        if summary_insert1:
            s, line = _extendLine(s, line, summary_insert1, max_line_len, next_line_prefix)

        for i in xrange(trailing_items, 1, -1):
            word = format_function(a[-i]) + separator
            s, line = _extendLine(s, line, word, max_line_len, next_line_prefix)

        word = format_function(a[-1])
        s, line = _extendLine(s, line, word, max_line_len, next_line_prefix)
        s += line + "]\n"
        s = '[' + s[len(next_line_prefix):]
    else:
        s = '['
        sep = separator.rstrip()
        for i in xrange(leading_items):
            if i > 0:
                s += next_line_prefix
            s += _formatArray(a[i], format_function, rank-1, max_line_len,
                              " " + next_line_prefix, separator, edge_items,
                              summary_insert)
            s = s.rstrip() + sep.rstrip() + '\n'*max(rank-1,1)

        if summary_insert1:
            s += next_line_prefix + summary_insert1 + "\n"

        for i in xrange(trailing_items, 1, -1):
            if leading_items or i != trailing_items:
                s += next_line_prefix
            s += _formatArray(a[-i], format_function, rank-1, max_line_len,
                              " " + next_line_prefix, separator, edge_items,
                              summary_insert)
            s = s.rstrip() + sep.rstrip() + '\n'*max(rank-1,1)
        if leading_items or trailing_items > 1:
            s += next_line_prefix
        s += _formatArray(a[-1], format_function, rank-1, max_line_len,
                          " " + next_line_prefix, separator, edge_items,
                          summary_insert).rstrip()+']\n'
    return s

class FloatFormat(object):
    def __init__(self, data, precision, suppress_small, sign=False):
        self.precision = precision
        self.suppress_small = suppress_small
        self.sign = sign
        self.exp_format = False
        self.large_exponent = False
        self.max_str_len = 0
        try:
            self.fillFormat(data)
        except (TypeError, NotImplementedError):
            # if reduce(data) fails, this instance will not be called, just
            # instantiated in formatdict.
            pass

    def fillFormat(self, data):
        import numeric as _nc
        errstate = _nc.seterr(all='ignore')
        try:
            special = isnan(data) | isinf(data)
            valid = not_equal(data, 0) & ~special
            non_zero = absolute(data.compress(valid))
            if len(non_zero) == 0:
                max_val = 0.
                min_val = 0.
            else:
                max_val = maximum.reduce(non_zero)
                min_val = minimum.reduce(non_zero)
                if max_val >= 1.e8:
                    self.exp_format = True
                if not self.suppress_small and (min_val < 0.0001
                                           or max_val/min_val > 1000.):
                    self.exp_format = True
        finally:
            _nc.seterr(**errstate)

        if self.exp_format:
            self.large_exponent = 0 < min_val < 1e-99 or max_val >= 1e100
            self.max_str_len = 8 + self.precision
            if self.large_exponent:
                self.max_str_len += 1
            if self.sign:
                format = '%+'
            else:
                format = '%'
            format = format + '%d.%de' % (self.max_str_len, self.precision)
        else:
            format = '%%.%df' % (self.precision,)
            if len(non_zero):
                precision = max([_digits(x, self.precision, format)
                                 for x in non_zero])
            else:
                precision = 0
            precision = min(self.precision, precision)
            self.max_str_len = len(str(int(max_val))) + precision + 2
            if _nc.any(special):
                self.max_str_len = max(self.max_str_len,
                                       len(_nan_str),
                                       len(_inf_str)+1)
            if self.sign:
                format = '%#+'
            else:
                format = '%#'
            format = format + '%d.%df' % (self.max_str_len, precision)

        self.special_fmt = '%%%ds' % (self.max_str_len,)
        self.format = format

    def __call__(self, x, strip_zeros=True):
        import numeric as _nc
        err = _nc.seterr(invalid='ignore')
        try:
            if isnan(x):
                if self.sign:
                    return self.special_fmt % ('+' + _nan_str,)
                else:
                    return self.special_fmt % (_nan_str,)
            elif isinf(x):
                if x > 0:
                    if self.sign:
                        return self.special_fmt % ('+' + _inf_str,)
                    else:
                        return self.special_fmt % (_inf_str,)
                else:
                    return self.special_fmt % ('-' + _inf_str,)
        finally:
            _nc.seterr(**err)

        s = self.format % x
        if self.large_exponent:
            # 3-digit exponent
            expsign = s[-3]
            if expsign == '+' or expsign == '-':
                s = s[1:-2] + '0' + s[-2:]
        elif self.exp_format:
            # 2-digit exponent
            if s[-3] == '0':
                s = ' ' + s[:-3] + s[-2:]
        elif strip_zeros:
            z = s.rstrip('0')
            s = z + ' '*(len(s)-len(z))
        return s


def _digits(x, precision, format):
    s = format % x
    z = s.rstrip('0')
    return precision - len(s) + len(z)


_MAXINT = sys.maxint
_MININT = -sys.maxint-1
class IntegerFormat(object):
    def __init__(self, data):
        try:
            max_str_len = max(len(str(maximum.reduce(data))),
                              len(str(minimum.reduce(data))))
            self.format = '%' + str(max_str_len) + 'd'
        except (TypeError, NotImplementedError):
            # if reduce(data) fails, this instance will not be called, just
            # instantiated in formatdict.
            pass
        except ValueError:
            # this occurs when everything is NA
            pass

    def __call__(self, x):
        if _MININT < x < _MAXINT:
            return self.format % x
        else:
            return "%s" % x

class LongFloatFormat(object):
    # XXX Have to add something to determine the width to use a la FloatFormat
    # Right now, things won't line up properly
    def __init__(self, precision, sign=False):
        self.precision = precision
        self.sign = sign

    def __call__(self, x):
        if isnan(x):
            if self.sign:
                return '+' + _nan_str
            else:
                return ' ' + _nan_str
        elif isinf(x):
            if x > 0:
                if self.sign:
                    return '+' + _inf_str
                else:
                    return ' ' + _inf_str
            else:
                return '-' + _inf_str
        elif x >= 0:
            if self.sign:
                return '+' + format_longfloat(x, self.precision)
            else:
                return ' ' + format_longfloat(x, self.precision)
        else:
            return format_longfloat(x, self.precision)


class LongComplexFormat(object):
    def __init__(self, precision):
        self.real_format = LongFloatFormat(precision)
        self.imag_format = LongFloatFormat(precision, sign=True)

    def __call__(self, x):
        r = self.real_format(x.real)
        i = self.imag_format(x.imag)
        return r + i + 'j'


class ComplexFormat(object):
    def __init__(self, x, precision, suppress_small):
        self.real_format = FloatFormat(x.real, precision, suppress_small)
        self.imag_format = FloatFormat(x.imag, precision, suppress_small,
                                       sign=True)

    def __call__(self, x):
        r = self.real_format(x.real, strip_zeros=False)
        i = self.imag_format(x.imag, strip_zeros=False)
        if not self.imag_format.exp_format:
            z = i.rstrip('0')
            i = z + 'j' + ' '*(len(i)-len(z))
        else:
            i = i + 'j'
        return r + i

class DatetimeFormat(object):
    def __init__(self, x, unit=None,
                timezone=None, casting='same_kind'):
        # Get the unit from the dtype
        if unit is None:
            if x.dtype.kind == 'M':
                unit = datetime_data(x.dtype)[0]
            else:
                unit = 's'

        # If timezone is default, make it 'local' or 'UTC' based on the unit
        if timezone is None:
            # Date units -> UTC, time units -> local
            if unit in ('Y', 'M', 'W', 'D'):
                self.timezone = 'UTC'
            else:
                self.timezone = 'local'
        else:
            self.timezone = timezone
        self.unit = unit
        self.casting = casting

    def __call__(self, x):
        return "'%s'" % datetime_as_string(x,
                                    unit=self.unit,
                                    timezone=self.timezone,
                                    casting=self.casting)

class TimedeltaFormat(object):
    def __init__(self, data):
        if data.dtype.kind == 'm':
            v = data.view('i8')
            max_str_len = max(len(str(maximum.reduce(v))),
                              len(str(minimum.reduce(v))))
            self.format = '%' + str(max_str_len) + 'd'

    def __call__(self, x):
        return self.format % x.astype('i8')