| Current File : //proc/self/root/proc/self/root/lib64/python2.7/site-packages/numpy/core/arrayprint.pyc |
�
E�`Qc @ s: d Z d d d g Z d Z d d l Z d d l Z d d l m Z m Z m Z m
Z
m Z m Z d d l
m Z m Z m Z d d l m Z d
� Z d a d a d
a e a d a d a d a d a e j d d k r� d d l m Z n d d d d d d d d d � Z! d � Z" d � Z# d � Z$ d � Z% d d d d � Z& d � Z' d d d d d e( d d � Z) d � Z* d � Z+ d e, f d � � YZ- d! � Z. e j/ Z0 e j/ d" Z1 d# e, f d$ � � YZ2 d% e, f d& � � YZ3 d' e, f d( � � YZ4 d) e, f d* � � YZ5 d+ e, f d, � � YZ6 d- e, f d. � � YZ7 d S(/ sW Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
t array2stringt set_printoptionst get_printoptionst restructuredtexti����N( t maximumt minimumt absolutet not_equalt isnant isinf( t format_longfloatt datetime_as_stringt
datetime_data( t ravelc C s | | S( N( ( t xt y( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt product s i i� i iK t nant infi ( t reducec C s� | d k r | a n | d k r* | a n | d k r? | a n | d k rT | a n | d k rk | a n | d k r� | a n | d k r� | a n | a d S( st
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)
N( t Nonet _line_widtht _summaryThresholdt _summaryEdgeItemst _float_output_precisiont _float_output_suppress_smallt _nan_strt _inf_strt
_formatter( t precisiont thresholdt edgeitemst linewidtht suppresst nanstrt infstrt formatter( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR % s l c C s= t d t d t d t d t d t d t d t d t � } | 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
R R R R R! R" R# R$ ( t dictR R R R R R R R ( t d( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR � s c C s= d d l } | j d k r[ t | � d t k rR | j | t | t f � } q9| } n� t | � d t k r� g t t t | � t � � D] } t | | � ^ q� } | j g t t t | � t � d d � D] } t | | � ^ q� � n2 g t d t | � � D] } t | | � ^ q} | j t | � � } | S( Ni����i i i (
t numerict ndimt lenR t concatenatet ranget mint _leading_trailingt extendt tuple( t at _nct bt it l( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR- � s
2 =2c C s | r
d Sd Sd S( Ns Truet False( ( R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt _boolFormatter� s c C s
t | � S( N( t repr( R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt repr_format� s t t c C sD | d k r t } n | d k r* t } n | d k r? t } n | d k rT t } n | j t k rx d } t | � } n d } t | � } i
t d 6t
| � d 6t | | | � d 6t | � d 6t
| | | � d 6t | � d 6t | � d 6t | � d
6t d 6t d 6} | d k rg | j � D] }
| |
d k r%|
^ q%} d
| k r{x% | j � D] } | d
| | <q`Wn d | k r�x" d g D] } | d | | <q�Wn d | k r�x% d d g D] } | d | | <q�Wn d | k rx% d d g D] } | d | | <q�Wn d | k rHx% d d g D] } | d | | <q-Wn x4 | j � D]# } | | k rU| | | | <qUqUWn y/ | j }
d } d d l } | j | t � WnGt k
r�| j j } t | t j � r�| d }
q�t | t j � r't | t j � r| d
}
q�| d }
q�t | t j � ret | t j! � rX| d }
q�| d }
q�t | t j" � r�t | t j# � r�| d }
q�| d }
q�t | t j$ t j% f � r�| d }
q�t | t j& � r�| d }
q�| d }
n Xd } | d t' | � 7} t( | |
t' | j) � | | | t* | � d } | S( Ns ..., R: t boolt intt floatt longfloatt complexfloatt longcomplexfloatt datetimet timedeltat numpystrt strt allt int_kindt
float_kindt complex_kindt str_kindsn The `_format` attribute is deprecated in Numpy 2.0 and will be removed in 2.1. Use the `formatter` kw instead.i����R9 (+ R R R R R t sizeR R- R
R6 t
IntegerFormatt FloatFormatt LongFloatFormatt
ComplexFormatt LongComplexFormatt DatetimeFormatt TimedeltaFormatR8 RD t keyst _formatt warningst warnt DeprecationWarningt AttributeErrort dtypet typet
issubclasst _ntt bool_t integert timedelta64t floatingR> t complexfloatingt
clongfloatt unicode_t string_t
datetime64R) t _formatArrayt shapeR ( R0 t max_line_widthR t suppress_smallt separatort prefixR$ t summary_insertt datat
formatdictt kt fkeyst keyt format_functiont msgRT t dtypeobjt next_line_prefixt lst( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt
_array2string� s�
/
c C sy d d l } g } xZ | D]R } t | | j � r@ | j � } n t | t � r^ t | � } n | j | � q Wt | � S( Ni����( R' t
isinstancet ndarrayt tolistR/ t _convert_arrayst append( t objR1 t newtupRn ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRz C s
c C s� | j d k r� | j � } y5 | j | � } d }
d d l } | j |
t � Wq� t k
r� t | t � r~ t | � } n | | � } q� XnB t
t | j � d k r� d } n! t | | | | | | d | �} | S( s�
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]'
sn The `_format` attribute is deprecated in Numpy 2.0 and will be removed in 2.1. Use the `formatter` kw instead.i����Ni s []R$ ( (
Rf t itemRS RT RU RV RW Rw R/ Rz R R Rv ( R0 Rg R Rh Ri Rj t styleR$ R Ru Rr RT ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR O s \
c C sY t | j � � t | j � � | k rE | | j � d 7} | } n | | 7} | | f S( Ns
( R) t rstrip( t st linet wordt max_line_lenRt ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt _extendLine� s
(
c
C sh | d k r@ | j � } t | t � r6 t | � } n t | � S| rs d | t | � k rs | | | } }
} n d t | � d } }
} | d k r�d } | }
xF t | � D]8 } | | | � | } t | |
| | | � \ } }
q� W| rt | |
| | | � \ } }
n xM t |
d d � D]9 } | | | � | } t | |
| | | � \ } }
q(W| | d � } t | |
| | | � \ } }
| |
d 7} d | t | � } n�d } | j � } x� t | � D]{ } | d k r�| | 7} n | t | | | | d | d | | | | � 7} | j � | j � d t
| d d � } q�W| rq| | | d 7} n x� t |
d d � D]� } | s�| |
k r�| | 7} n | t | | | | d | d | | | | � 7} | j � | j � d t
| d d � } q�W| s |
d k r)| | 7} n | t | d | | d | d | | | | � j � d 7} | S(
sg formatArray is designed for two modes of operation:
1. Full output
2. Summarized output
i i R: i i����s ]
t [R9 s
( R~ Rw R/ Rz RD R) t xrangeR� R� Re t max( R0 Rq t rankR� Rt Ri t
edge_itemsRk R| t
leading_itemst trailing_itemst summary_insert1R� R� R3 R� t sep( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRe � s^
"!"
/
/
RL c B s) e Z e d � Z d � Z e d � Z RS( c C se | | _ | | _ | | _ t | _ t | _ d | _ y | j | � Wn t t f k
r` n Xd S( Ni (
R Rh t signR5 t
exp_formatt large_exponentt max_str_lent
fillFormatt TypeErrort NotImplementedError( t selfRl R Rh R� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt __init__ s c C s� d d l } | j d d � } z� t | � t | � B} t | d � | @} t | j | � � } t | � d k r� d } d } nh t j | � } t
j | � } | d k r� t | _ n | j
r� | d k s� | | d k r� t | _ n Wd | j | � X| j r�d | k od k n p)| d
k | _ d | j | _ | j rZ| j d 7_ n | j rld
} n d } | d | j | j f } n� d | j f } t | � r�t g | D] }
t |
| j | � ^ q�� } n d } t | j | � } t t t | � � � | d | _ | j | � rQt | j t t � t t � d � | _ n | j rcd } n d } | d | j | f } d | j f | _ | | _ d S( Ni����RE t ignorei g g �חAg-C ��6?g @�@g>��N}a+g}Ô%�I�Ti i s %+t %s %d.%des %%.%dfi s %#+s %#s %d.%dfs %%%ds( R' t seterrR R R R t compressR) R R R t TrueR� Rh R� R R� R� R� t _digitsR, RD R< t anyR R t special_fmtt format( R� Rl R1 t errstatet specialt validt non_zerot max_valt min_valR� R R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� sV + +# c C s� d d l } | j d d � } z� t | � rY | j rH | j d t f S| j t f SnY t | � r� | d k r� | j r� | j d t f S| j t f Sq� | j d t f Sn Wd | j | � X| j | } | j r| d } | d k s� | d k r�| d d !d
| d } q�nk | j
rP| d d
k r�d | d | d } q�n6 | r�| j d
� } | d t | � t | � } n | S( Ni����t invalidR� t +i t -i����i i����t 0R9 (
R' R� R R� R� R R R R� R� R� R� R) ( R� R t strip_zerosR1 t errR� t expsignt z( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt __call__O s4
!( t __name__t
__module__R5 R� R� R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRL s 5c C s1 | | } | j d � } | t | � t | � S( NR� ( R� R) ( R R R� R� R� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� s s
i RK c B s e Z d � Z d � Z RS( c C s� yT t t t t j | � � � t t t j | � � � � } d t | � d | _ Wn' t t f k
rm n t k
r} n Xd S( NR� R& (
R� R) RD R R R R� R� R� t
ValueError( R� Rl R� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� | s
c C s3 t | k o t k n r' | j | Sd | Sd S( Ns %s( t _MININTt _MAXINTR� ( R� R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s ( R� R� R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRK { s
RM c B s e Z e d � Z d � Z RS( c C s | | _ | | _ d S( N( R R� ( R� R R� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s c C s� t | � r( | j r d t Sd t Sn� t | � rg | d k r\ | j rQ d t Sd t Sq� d t SnP | d k r� | j r� d t | | j � Sd t | | j � Sn t | | j � Sd S( NR� R9 i R� ( R R� R R R R
R ( R� R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s ( R� R� R5 R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRM � s RO c B s e Z d � Z d � Z RS( c C s( t | � | _ t | d t �| _ d S( NR� ( RM t real_formatR� t imag_format( R� R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s c C s0 | j | j � } | j | j � } | | d S( Nt j( R� t realR� t imag( R� R t rR3 ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s ( R� R� R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRO � s RN c B s e Z d � Z d � Z RS( c C s: t | j | | � | _ t | j | | d t �| _ d S( NR� ( RL R� R� R� R� R� ( R� R R Rh ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s c C s� | j | j d t �} | j | j d t �} | j j sp | j d � } | d d t | � t | � } n
| d } | | S( NR� R� R� R9 ( R� R� R5 R� R� R� R� R) ( R� R R� R3 R� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s %
( R� R� R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRN � s RP c B s# e Z d d d d � Z d � Z RS( t same_kindc C s� | d k r= | j j d k r4 t | j � d } q= d } n | d k rm | d k ra d | _ qv d | _ n | | _ | | _ | | _ d S(
Nt Mi R� t Yt Wt Dt UTCt local( R� R� R� R� ( R RX t kindR t timezonet unitt casting( R� R R� R� R� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s c C s) d t | d | j d | j d | j �S( Ns '%s'R� R� R� ( R R� R� R� ( R� R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s N( R� R� R R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRP � s RQ c B s e Z d � Z d � Z RS( c C sx | j j d k rt | j d � } t t t t j | � � � t t t j | � � � � } d t | � d | _ n d S( Nt mt i8R� R& (
RX R� t viewR� R) RD R R R R� ( R� Rl t vR� ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s
c C s | j | j d � S( NR� ( R� t astype( R� R ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyR� � s ( R� R� R� R� ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyRQ � s (8 t __doc__t __all__t
__docformat__t syst numerictypesR[ t umathR R R R R R t
multiarrayR
R R t fromnumericR
R R R R R5 R R R R R R t version_infot functoolsR R R R- R6 R8 Rv Rz R7 R R� Re t objectRL R� t maxintR� R� RK RM RO RN RP RQ ( ( ( s; /usr/lib64/python2.7/site-packages/numpy/core/arrayprint.pyt <module> sX . y # a o Ch