История изменений

"""Array printing function

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

"""
from __future__ import division, absolute_import, print_function

__all__ = ["array2string", "array_str", "array_repr", "set_string_function",
           "set_printoptions", "get_printoptions", "format_float_positional",
           "format_float_scientific"]
__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


# Note: Both scalartypes.c.src and arrayprint.py implement strs for numpy
# scalars but for different purposes. scalartypes.c.src has str/reprs for when
# the scalar is printed on its own, while arrayprint.py has strs for when
# scalars are printed inside an ndarray. Only the latter strs are currently
# user-customizable.

import sys
import functools
if sys.version_info[0] >= 3:
    try:
        from _thread import get_ident
    except ImportError:
        from _dummy_thread import get_ident
else:
    try:
        from thread import get_ident
    except ImportError:
        from dummy_thread import get_ident

import numpy as np
from . import numerictypes as _nt
from .umath import absolute, not_equal, isnan, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, dtype, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import ravel, any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
import warnings


_format_options = {
    'edgeitems': 3,  # repr N leading and trailing items of each dimension
    'threshold': 1000,  # total items > triggers array summarization
    'floatmode': 'maxprec',
    'precision': 8,  # precision of floating point representations
    'suppress': False,  # suppress printing small floating values in exp format
    'linewidth': 75,
    'nanstr': 'nan',
    'infstr': 'inf',
    'sign': '-',
    'formatter': None,
    'legacy': False}

"""Array printing function

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

"""
from __future__ import division, absolute_import, print_function

__all__ = ["array2string", "array_str", "array_repr", "set_string_function",
           "set_printoptions", "get_printoptions", "format_float_positional",
           "format_float_scientific"]
__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


# Note: Both scalartypes.c.src and arrayprint.py implement strs for numpy
# scalars but for different purposes. scalartypes.c.src has str/reprs for when
# the scalar is printed on its own, while arrayprint.py has strs for when
# scalars are printed inside an ndarray. Only the latter strs are currently
# user-customizable.

import sys
import functools
if sys.version_info[0] >= 3:
    try:
        from _thread import get_ident
    except ImportError:
        from _dummy_thread import get_ident
else:
    try:
        from thread import get_ident
    except ImportError:
        from dummy_thread import get_ident

import numpy as np
from . import numerictypes as _nt
from .umath import absolute, not_equal, isnan, isinf, isfinite, isnat
from . import multiarray
from .multiarray import (array, dragon4_positional, dragon4_scientific,
                         datetime_as_string, datetime_data, dtype, ndarray,
                         set_legacy_print_mode)
from .fromnumeric import ravel, any
from .numeric import concatenate, asarray, errstate
from .numerictypes import (longlong, intc, int_, float_, complex_, bool_,
                           flexible)
import warnings


_format_options = {
    'edgeitems': 3,  # repr N leading and trailing items of each dimension
    'threshold': 1000,  # total items > triggers array summarization
    'floatmode': 'maxprec',
    'precision': 8,  # precision of floating point representations
    'suppress': False,  # suppress printing small floating values in exp format
    'linewidth': 75,
    'nanstr': 'nan',
    'infstr': 'inf',
    'sign': '-',
    'formatter': None,
    'legacy': False}