arrayprint.pyc
1 o 2 [��c�� � @ s� d Z g d�ZdZddlZddlZddlZzddlmZ W n ey+ ddl mZ Y nw ddl 3 Z ddl m Z ddlmZmZmZmZ dd l mZ dd 4 lmZmZmZmZmZmZmZ dd l m Z dd l m Z m Z m!Z! dd l m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z( ddl)m*Z*m+Z+ ddl,Z,ddl-Z-ddl.Z.ddddddddddej/d� Z0 dvdd�Z1e+d� dwdd �d d ��Z2e+d�d d � �Z3d!d"� Z4e+d�e.j5d#d$� ��Z6dxd&d'�Z7d(d)� Z8d*d+� Z9d,d-� Z:d.d/� Z;d0d1� Z<dyd3d4�Z=e=� dzd7d8��Z> d{dd �d9d:�Z?e*e?dd;�dddd5d6e j@dddddd6f dd �d<d=��ZAd>d?� ZBd@dA� ZCdBdC� ZDdDdE� ZEG dFdG� dG�ZFe+d� I d|dJdK��ZGe+d� H d}dLdM��ZHG dNdO� dO�ZIG dPdQ� dQ�ZJG dRdS� dS�ZKG dTdU� dU�ZLG dVdW� dWeL�ZMG dXdY� dYeL�ZNG dZd[� d[�ZOG d\d]� d]�ZPd^d_� ZQe$e%e&e'gZRd`da� ZSdbdc� ZTdddeAfddde�ZU d~dfdg�ZVe*eVdd;�d~dhdi��ZWe=� djdk� �ZXdddeAfdldm�ZY d~dndo�ZZe*eZdd;�d~dpdq��Z[e\eAdreA�Z]ej^eYe]ds�Z_ej^eUe]ds�Z`ddtdu�ZadS )�zXArray printing function 5 6 $Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $ 7 8 ) � array2string� array_str� 9 array_repr�set_string_function�set_printoptions�get_printoptions� printoptions�format_float_positional�format_float_scientific�restructuredtext� N)� get_ident� )� numerictypes)�absolute�isinf�isfinite�isnat)� 10 multiarray)�array�dragon4_positional�dragon4_scientific�datetime_as_string� datetime_data�ndarray�set_legacy_print_mode)�any)� concatenate�asarray�errstate)�longlong�intc�int_�float_�complex_�bool_�flexible)�array_function_dispatch� 11 set_module� i� �maxprec� F�K �nan�inf�-) � edgeitems� threshold� floatmode� precision�suppress� linewidth�nanstr�infstr�sign� formatter�legacyc 12 C s, dd� t � �� D �} |durt|�| d< g d�} | | dg vr-tdd�dd � | D �� ��|d 13 vr5td ��| 14 d kr?tj| d < n | 15 dkrHd| d < n| 16 dkrQd| d < n | 17 du rVntjddd� |durtt |t 18 j �skt d��t �|�rttd��| dur�z 19 t�| �| d< W | S t y� } zt d�| �d} ~ ww | S )zm 20 Make a dictionary out of the non-None arguments, plus conversion of 21 *legacy* and sanity checks. 22 c S s i | ] \}}|d ur||�qS �N� )�.0�k�vr; r; ��C:\Users\Jacks.GUTTSPC\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\numpy\core\arrayprint.py� 23 <dictcomp>H s z&_make_options_dict.<locals>.<dictcomp>Nr3 )�fixed�uniquer) � maxprec_equalz floatmode option must be one of �, c s s � | ]}d � |�V qdS )z"{}"N��format)r< �mr; r; r? � <genexpr>P � � z%_make_options_dict.<locals>.<genexpr>)Nr. �+� z+sign option must be one of ' ', '+', or '-'Fr9 �1.13�q �1.21�y zGlegacy printing option can currently only be '1.13', '1.21', or `False`r( �� 24 stacklevelzthreshold must be numericzIthreshold must be non-NAN, try sys.maxsize for untruncated representationr2 z precision must be an integer)�locals�items�bool� 25 ValueError�join�sys�maxsize�warnings�warn� 26 isinstance�numbers�Number� TypeError�np�isnan�operator�index)r2 r0 r/ r4 r3 r5 r6 r7 r8 r1 r9 �options�modes�er; r; r? �_make_options_dict@ sH � 27 28 � 29 � 30 ��rf �numpy�r9 c 31 C s� t | ||||||||| | 32 � } || d< t�| � td dkr'td� dtd< dS td dkr3td� dS td tjkr@td� dS dS ) a 33 Set printing options. 34 35 These options determine the way floating point numbers, arrays and 36 other NumPy objects are displayed. 37 38 Parameters 39 ---------- 40 precision : int or None, optional 41 Number of digits of precision for floating point output (default 8). 42 May be None if `floatmode` is not `fixed`, to print as many digits as 43 necessary to uniquely specify the value. 44 threshold : int, optional 45 Total number of array elements which trigger summarization 46 rather than full repr (default 1000). 47 To always use the full repr without summarization, pass `sys.maxsize`. 48 edgeitems : int, optional 49 Number of array items in summary at beginning and end of 50 each dimension (default 3). 51 linewidth : int, optional 52 The number of characters per line for the purpose of inserting 53 line breaks (default 75). 54 suppress : bool, optional 55 If True, always print floating point numbers using fixed point 56 notation, in which case numbers equal to zero in the current precision 57 will print as zero. If False, then scientific notation is used when 58 absolute value of the smallest number is < 1e-4 or the ratio of the 59 maximum absolute value to the minimum is > 1e3. The default is False. 60 nanstr : str, optional 61 String representation of floating point not-a-number (default nan). 62 infstr : str, optional 63 String representation of floating point infinity (default inf). 64 sign : string, either '-', '+', or ' ', optional 65 Controls printing of the sign of floating-point types. If '+', always 66 print the sign of positive values. If ' ', always prints a space 67 (whitespace character) in the sign position of positive values. If 68 '-', omit the sign character of positive values. (default '-') 69 formatter : dict of callables, optional 70 If not None, the keys should indicate the type(s) that the respective 71 formatting function applies to. Callables should return a string. 72 Types that are not specified (by their corresponding keys) are handled 73 by the default formatters. Individual types for which a formatter 74 can be set are: 75 76 - 'bool' 77 - 'int' 78 - 'timedelta' : a `numpy.timedelta64` 79 - 'datetime' : a `numpy.datetime64` 80 - 'float' 81 - 'longfloat' : 128-bit floats 82 - 'complexfloat' 83 - 'longcomplexfloat' : composed of two 128-bit floats 84 - 'numpystr' : types `numpy.string_` and `numpy.unicode_` 85 - 'object' : `np.object_` arrays 86 87 Other keys that can be used to set a group of types at once are: 88 89 - 'all' : sets all types 90 - 'int_kind' : sets 'int' 91 - 'float_kind' : sets 'float' and 'longfloat' 92 - 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat' 93 - 'str_kind' : sets 'numpystr' 94 floatmode : str, optional 95 Controls the interpretation of the `precision` option for 96 floating-point types. Can take the following values 97 (default maxprec_equal): 98 99 * 'fixed': Always print exactly `precision` fractional digits, 100 even if this would print more or fewer digits than 101 necessary to specify the value uniquely. 102 * 'unique': Print the minimum number of fractional digits necessary 103 to represent each value uniquely. Different elements may 104 have a different number of digits. The value of the 105 `precision` option is ignored. 106 * 'maxprec': Print at most `precision` fractional digits, but if 107 an element can be uniquely represented with fewer digits 108 only print it with that many. 109 * 'maxprec_equal': Print at most `precision` fractional digits, 110 but if every element in the array can be uniquely 111 represented with an equal number of fewer digits, use that 112 many digits for all elements. 113 legacy : string or `False`, optional 114 If set to the string `'1.13'` enables 1.13 legacy printing mode. This 115 approximates numpy 1.13 print output by including a space in the sign 116 position of floats and different behavior for 0d arrays. This also 117 enables 1.21 legacy printing mode (described below). 118 119 If set to the string `'1.21'` enables 1.21 legacy printing mode. This 120 approximates numpy 1.21 print output of complex structured dtypes 121 by not inserting spaces after commas that separate fields and after 122 colons. 123 124 If set to `False`, disables legacy mode. 125 126 Unrecognized strings will be ignored with a warning for forward 127 compatibility. 128 129 .. versionadded:: 1.14.0 130 .. versionchanged:: 1.22.0 131 132 See Also 133 -------- 134 get_printoptions, printoptions, set_string_function, array2string 135 136 Notes 137 ----- 138 `formatter` is always reset with a call to `set_printoptions`. 139 140 Use `printoptions` as a context manager to set the values temporarily. 141 142 Examples 143 -------- 144 Floating point precision can be set: 145 146 >>> np.set_printoptions(precision=4) 147 >>> np.array([1.123456789]) 148 [1.1235] 149 150 Long arrays can be summarised: 151 152 >>> np.set_printoptions(threshold=5) 153 >>> np.arange(10) 154 array([0, 1, 2, ..., 7, 8, 9]) 155 156 Small results can be suppressed: 157 158 >>> eps = np.finfo(float).eps 159 >>> x = np.arange(4.) 160 >>> x**2 - (x + eps)**2 161 array([-4.9304e-32, -4.4409e-16, 0.0000e+00, 0.0000e+00]) 162 >>> np.set_printoptions(suppress=True) 163 >>> x**2 - (x + eps)**2 164 array([-0., -0., 0., 0.]) 165 166 A custom formatter can be used to display array elements as desired: 167 168 >>> np.set_printoptions(formatter={'all':lambda x: 'int: '+str(-x)}) 169 >>> x = np.arange(3) 170 >>> x 171 array([int: 0, int: -1, int: -2]) 172 >>> np.set_printoptions() # formatter gets reset 173 >>> x 174 array([0, 1, 2]) 175 176 To put back the default options, you can use: 177 178 >>> np.set_printoptions(edgeitems=3, infstr='inf', 179 ... linewidth=75, nanstr='nan', precision=8, 180 ... suppress=False, threshold=1000, formatter=None) 181 182 Also to temporarily override options, use `printoptions` as a context manager: 183 184 >>> with np.printoptions(precision=2, suppress=True, threshold=5): 185 ... np.linspace(0, 10, 10) 186 array([ 0. , 1.11, 2.22, ..., 7.78, 8.89, 10. ]) 187 188 r8 r9 rM r. r7 rO r N)rf �_format_options�updater rW rX ) r2 r0 r/ r4 r3 r5 r6 r8 r7 r1 r9 �optr; r; r? r t s 189 " 190 � 191 �r c C s* t �� } ddddtjdi| d | d< | S )a. 192 Return the current print options. 193 194 Returns 195 ------- 196 print_opts : dict 197 Dictionary of current print options with keys 198 199 - precision : int 200 - threshold : int 201 - edgeitems : int 202 - linewidth : int 203 - suppress : bool 204 - nanstr : str 205 - infstr : str 206 - formatter : dict of callables 207 - sign : str 208 209 For a full description of these options, see `set_printoptions`. 210 211 See Also 212 -------- 213 set_printoptions, printoptions, set_string_function 214 215 rM rL rO rN Fr9 )ri �copyrW rX )�optsr; r; r? r ' s ��r c C s t d S )z'Return the legacy print mode as an int.r9 )ri r; r; r; r? �_get_legacy_print_modeI s rn c 216 o sN � t �� }zt j| i |�� t �� V W t jdi |�� dS t jdi |�� w )a� Context manager for setting print options. 217 218 Set print options for the scope of the `with` block, and restore the old 219 options at the end. See `set_printoptions` for the full description of 220 available options. 221 222 Examples 223 -------- 224 225 >>> from numpy.testing import assert_equal 226 >>> with np.printoptions(precision=2): 227 ... np.array([2.0]) / 3 228 array([0.67]) 229 230 The `as`-clause of the `with`-statement gives the current print options: 231 232 >>> with np.printoptions(precision=2) as opts: 233 ... assert_equal(opts, np.get_printoptions()) 234 235 See Also 236 -------- 237 set_printoptions, get_printoptions 238 239 Nr; )r_ r r )�args�kwargsrm r; r; r? r N s � &r r; c C s� t |�}|| jkr | | S | j| d| kr5tt| ||tjd|� �t| ||tj| d� �f|d�S t| ||tjdd� �S )z� 240 Keep only the N-D corners (leading and trailing edges) of an array. 241 242 Should be passed a base-class ndarray, since it makes no guarantees about 243 preserving subclasses. 244 � N)�axis)�len�ndim�shaper �_leading_trailingr_ � index_exp)�ar/ rb rr r; r; r? rv q s 245 ��rv c C s t | �tu r d}nd}|�| �S )z@ Object arrays containing lists should be printed unambiguously z 246 list({!r})z{!r})�type�listrF )�o�fmtr; r; r? �_object_format� s 247 r} c C � t | �S r: )�repr��xr; r; r? � repr_format� � r� c C r~ r: )�strr� r; r; r? � 248 str_format� r� r� c s� � fdd�� fdd�� �����fdd�� �����fdd�� �����fdd�� �����fdd�� �fdd�� fd d�d 249 d� d d� d d� d � }dd� } �d ur��fdd��� � D �} 250 d| 251 v ro|� � D ] 252 } | �d �|| < qdd| 253 v r�dD ] 254 } | �d �|| < qud| 255 v r�dD ] 256 } | �d �|| < q�d| 257 v r�dD ] 258 } | �d �|| < q�d| 259 v r�| �d �|d< |� � D ]} | | 260 v r�| �| �|| < q�|S )Nc � t � �S r: )� 261 BoolFormatr; ��datar; r? �<lambda>� � z!_get_formatdict.<locals>.<lambda>c r� r: )� IntegerFormatr; r� r; r? r� � r� c � t � �����d�S �Nrh ��FloatingFormatr; �r� r1 r9 r2 r7 r3 r; r? r� � � �c r� r� r� r; r� r; r? r� � r� c r� r� ��ComplexFloatingFormatr; r� r; r? r� � r� c r� r� r� r; r� r; r? r� � r� c s t � �d�S r� )�DatetimeFormatr; )r� r9 r; r? r� � s c r� r: )�TimedeltaFormatr; r� r; r? r� � r� c S � t S r: )r} r; r; r; r? r� � � c S r� r: )r� r; r; r; r? r� � r� c S r� r: )r� r; r; r; r? r� � r� ) rT �int�float� longfloat� complexfloat�longcomplexfloat�datetime� timedelta�object�void�numpystrc s � fdd�S )Nc s � S r: r; r; r� r; r? r� � r� z3_get_formatdict.<locals>.indirect.<locals>.<lambda>r; r� r; r� r? �indirect� s z!_get_formatdict.<locals>.indirectc s g | ] 262 }� | d ur|�qS r: r; )r< r= )r8 r; r? � 263 <listcomp>� s z#_get_formatdict.<locals>.<listcomp>�all�int_kind)r� � 264 float_kind)r� r� Z complex_kind)r� r� Zstr_kindr� )�keys) r� r2 r1 r3 r7 r9 r8 rp � 265 formatdictr� �fkeys�keyr; )r� r1 r8 r9 r2 r7 r3 r? �_get_formatdict� sD 266 267 268 � �r� c K sL | j }|j}t| fi |��}|du r|d � S t|tj�r"|d � S t|tj�r8t|tj�r3|d � S |d � S t|tj�rNt|tj �rI|d � S |d � S t|tj 269 �rdt|tj �r_|d � S |d � S t|tj tj f�rr|d � S t|tj�r}|d 270 � S t|tj�r�|d � S t|tj�r�|jdur�tj| fi |��S |d � S |d � S ) z; 271 find the right formatting function for the dtype_ 272 Nr� rT r� r� r� r� r� r� r� r� r� )�dtypery r� � 273 issubclass�_ntr$ �integer� timedelta64�floatingr� �complexfloating� 274 clongfloat�unicode_�string_� 275 datetime64�object_r� �names�StructuredVoidFormat� from_data)r� rc Zdtype_Zdtypeobjr� r; r; r? �_get_format_function� s< 276 277 278 279 280 281 282 283 284 285 286 287 288 289 r� �...c s � fdd�}|S )a 290 Like the python 3.2 reprlib.recursive_repr, but forwards *args and **kwargs 291 292 Decorates a function such that if it calls itself with the same first 293 argument, it returns `fillvalue` instead of recursing. 294 295 Largely copied from reprlib.recursive_repr 296 c s$ t � �t�� �� ��fdd��}|S )Nc sT t | �t� f}|�v r �S ��|� z� | g|�R i |��W ��|� S ��|� w r: )�idr �add�discard)�selfro rp r� )�f� fillvalue� repr_runningr; r? �wrapper� s 297 z>_recursive_guard.<locals>.decorating_function.<locals>.wrapper)�set� functools�wraps)r� r� �r� )r� r� r? �decorating_function� s 298 z-_recursive_guard.<locals>.decorating_functionr; )r� r� r; r� r? �_recursive_guard� s 299 r� rK � c 300 C s� t | �}| jdkr |} | j|d kr d}t||d �}nd}t|fi |��}d}|dt|� 7 }t| ||d |||d ||d �}|S ) Nr; r0 r� r/ r� rK r4 r9 )r ru �sizerv r� rs � _formatArray) rx rc � separator�prefixr� �summary_insert�format_function�next_line_prefix�lstr; r; r? � _array2string s 301 302 �r� c C � | fS r: r; )rx �max_line_widthr2 �suppress_smallr� r� �styler8 r0 r/ r7 r1 �suffixr9 r; r; r? �_array2string_dispatcher( s r� )�modulec C s� t ||| ||dd| 303 || | � }t�� }|�|� |d dkr6|tju r$t}| jdkr5| jj du r5|| � 304 � �S n |tjurCt j dt dd� |d dkrS|d t| �8 < | jd krZd 305 S t| |||�S ) a� 306 Return a string representation of an array. 307 308 Parameters 309 ---------- 310 a : ndarray 311 Input array. 312 max_line_width : int, optional 313 Inserts newlines if text is longer than `max_line_width`. 314 Defaults to ``numpy.get_printoptions()['linewidth']``. 315 precision : int or None, optional 316 Floating point precision. 317 Defaults to ``numpy.get_printoptions()['precision']``. 318 suppress_small : bool, optional 319 Represent numbers "very close" to zero as zero; default is False. 320 Very close is defined by precision: if the precision is 8, e.g., 321 numbers smaller (in absolute value) than 5e-9 are represented as 322 zero. 323 Defaults to ``numpy.get_printoptions()['suppress']``. 324 separator : str, optional 325 Inserted between elements. 326 prefix : str, optional 327 suffix : str, optional 328 The length of the prefix and suffix strings are used to respectively 329 align and wrap the output. An array is typically printed as:: 330 331 prefix + array2string(a) + suffix 332 333 The output is left-padded by the length of the prefix string, and 334 wrapping is forced at the column ``max_line_width - len(suffix)``. 335 It should be noted that the content of prefix and suffix strings are 336 not included in the output. 337 style : _NoValue, optional 338 Has no effect, do not use. 339 340 .. deprecated:: 1.14.0 341 formatter : dict of callables, optional 342 If not None, the keys should indicate the type(s) that the respective 343 formatting function applies to. Callables should return a string. 344 Types that are not specified (by their corresponding keys) are handled 345 by the default formatters. Individual types for which a formatter 346 can be set are: 347 348 - 'bool' 349 - 'int' 350 - 'timedelta' : a `numpy.timedelta64` 351 - 'datetime' : a `numpy.datetime64` 352 - 'float' 353 - 'longfloat' : 128-bit floats 354 - 'complexfloat' 355 - 'longcomplexfloat' : composed of two 128-bit floats 356 - 'void' : type `numpy.void` 357 - 'numpystr' : types `numpy.string_` and `numpy.unicode_` 358 359 Other keys that can be used to set a group of types at once are: 360 361 - 'all' : sets all types 362 - 'int_kind' : sets 'int' 363 - 'float_kind' : sets 'float' and 'longfloat' 364 - 'complex_kind' : sets 'complexfloat' and 'longcomplexfloat' 365 - 'str_kind' : sets 'numpystr' 366 threshold : int, optional 367 Total number of array elements which trigger summarization 368 rather than full repr. 369 Defaults to ``numpy.get_printoptions()['threshold']``. 370 edgeitems : int, optional 371 Number of array items in summary at beginning and end of 372 each dimension. 373 Defaults to ``numpy.get_printoptions()['edgeitems']``. 374 sign : string, either '-', '+', or ' ', optional 375 Controls printing of the sign of floating-point types. If '+', always 376 print the sign of positive values. If ' ', always prints a space 377 (whitespace character) in the sign position of positive values. If 378 '-', omit the sign character of positive values. 379 Defaults to ``numpy.get_printoptions()['sign']``. 380 floatmode : str, optional 381 Controls the interpretation of the `precision` option for 382 floating-point types. 383 Defaults to ``numpy.get_printoptions()['floatmode']``. 384 Can take the following values: 385 386 - 'fixed': Always print exactly `precision` fractional digits, 387 even if this would print more or fewer digits than 388 necessary to specify the value uniquely. 389 - 'unique': Print the minimum number of fractional digits necessary 390 to represent each value uniquely. Different elements may 391 have a different number of digits. The value of the 392 `precision` option is ignored. 393 - 'maxprec': Print at most `precision` fractional digits, but if 394 an element can be uniquely represented with fewer digits 395 only print it with that many. 396 - 'maxprec_equal': Print at most `precision` fractional digits, 397 but if every element in the array can be uniquely 398 represented with an equal number of fewer digits, use that 399 many digits for all elements. 400 legacy : string or `False`, optional 401 If set to the string `'1.13'` enables 1.13 legacy printing mode. This 402 approximates numpy 1.13 print output by including a space in the sign 403 position of floats and different behavior for 0d arrays. If set to 404 `False`, disables legacy mode. Unrecognized strings will be ignored 405 with a warning for forward compatibility. 406 407 .. versionadded:: 1.14.0 408 409 Returns 410 ------- 411 array_str : str 412 String representation of the array. 413 414 Raises 415 ------ 416 TypeError 417 if a callable in `formatter` does not return a string. 418 419 See Also 420 -------- 421 array_str, array_repr, set_printoptions, get_printoptions 422 423 Notes 424 ----- 425 If a formatter is specified for a certain type, the `precision` keyword is 426 ignored for that type. 427 428 This is a very flexible function; `array_repr` and `array_str` are using 429 `array2string` internally so keywords with the same name should work 430 identically in all three functions. 431 432 Examples 433 -------- 434 >>> x = np.array([1e-16,1,2,3]) 435 >>> np.array2string(x, precision=2, separator=',', 436 ... suppress_small=True) 437 '[0.,1.,2.,3.]' 438 439 >>> x = np.arange(3.) 440 >>> np.array2string(x, formatter={'float_kind':lambda x: "%.2f" % x}) 441 '[0.00 1.00 2.00]' 442 443 >>> x = np.arange(3) 444 >>> np.array2string(x, formatter={'int':lambda x: hex(x)}) 445 '[0x0 0x1 0x2]' 446 447 Nr9 rM r; zT'style' argument is deprecated and no longer functional except in 1.13 'legacy' moder( rP r4 r z[])rf ri rl rj r_ �_NoValuer ru r� r� �itemrY rZ �DeprecationWarningrs r� r� )rx r� r2 r� r� r� r� r8 r0 r/ r7 r1 r� r9 � overridesrc r; r; r? r 1 s, � 448 449 � 450 � 451 r c C sX t |�t |� |k}|dkrt |�t |�krd}|r$| |�� d 7 } |}||7 }| |fS )NrM F� 452 )rs �rstrip)�s�line�word� 453 line_widthr� r9 Z 454 needs_wrapr; r; r? � _extendLine� s r� c 455 C s� |� � }t|�dks|dkrt| |||||�S tdd� |D ��}t|�| |krAt|�t|�krA| |�� d 7 } ||d }|}n t|�d }||d 7 }|dd� D ]}| |�� d 7 } || }qS|t|d � } || d 7 }| |fS ) 456 zS 457 Extends line with nicely formatted (possibly multi-line) string ``word``. 458 r rM c s � � | ]}t |�V qd S r: �rs )r< r� r; r; r? rH � � � z%_extendLine_pretty.<locals>.<genexpr>r� r rK N�����)� 459 splitlinesrs r� �maxr� ) 460 r� r� r� r� r� r9 �wordsZmax_word_length�indentZ suffix_lengthr; r; r? �_extendLine_pretty� s" 461 r� c s4 � ������fdd��z 462 �d||d�W d�S d�w )zgformatArray is designed for two modes of operation: 463 464 1. Full output 465 466 2. Summarized output 467 468 c s� t | �}� j| }|dkr�� | �S |d }�dkr |}n|t d� }� j| }�o0d� |k }|r8�} �} 469 nd} |} 470 d} |dkrdkrO|t ��� � } n |tt ��� �t d�� } |} t| �D ]}�| |f ||�}t| | || |��\} } | �7 } qb|r�t| | �| |��\} } �dkr�| d7 } n| �7 } t| 471 dd �D ]}�| | f ||�}t| | || |��\} } | �7 } q��dkr�|} �| d 472 ||�}t| | || |��\} } | | 7 } ngd} ��� d |d }t| �D ]}�| |f ||�}| || | 7 } q�|�r�dk�r | |� d 7 } n| |� | 7 } t| 473 dd �D ]}�| | f ||�}| || | 7 } �q�| d 474 ||�}| || 7 } d | t |�d� d } | S )z� 475 By using this local function, we don't need to recurse with all the 476 arguments. Since this function is not created recursively, the cost is 477 not significant 478 r rK rM �]rq r� r rD r� )r� r� z, 479 �[N)rs rt ru r� r� �ranger� r� )rb �hanging_indent� 480 curr_widthrr Z axes_leftZnext_hanging_indentZ 481 next_widthZa_lenZ show_summaryZ leading_itemsZtrailing_itemsr� Z 482 elem_widthr� �ir� �line_sep�nested�rx � 483 edge_itemsr� r9 �recurserr� r� r; r? r� s� 484 485 � 486 � 487 � 488 � 489 490 � z _formatArray.<locals>.recurserr; )rb r� r� Nr; )rx r� r� r� r� r� r� r9 r; r� r? r� s b� r� c C s& | d u rdS | dk rt d�|���| S )Nr� r z{} must be >= 0)rU rF )r� �namer; r; r? �_none_or_positive_arg� s 491 r� c @ s0 e Zd ZdZd dd�dd�Zdd� Zd d 492 � ZdS ) r� z' Formatter for subtypes of np.floating FNrh c C s� t |t�r |r dnd}|| _| jdkr |jdkr |dkr d}|| _|dkr)d | _n|| _t| jd�| _|| _|| _d| _ d| _ 493 | � |� d S ) NrJ r. rM r; rK rB r2 F) r[ rT �_legacyru r1 r2 r� r� r7 � 494 exp_formatZlarge_exponent� 495 fillFormat)r� r� r2 r1 r� r7 r9 r; r; r? �__init__� s 496 497 zFloatingFormat.__init__c s |t |� }t||dk �}t|�dkrGt�|�}t�|�}tdd�� |dks5� js8|dk s5|| dkr8d� _W d � n1 sBw Y t|�dkr`d� _ d� _ 498 d� _ d � _ d� _ d � _nۈ jr�d 499 \��� jd ksq� jd krud \��� ��fdd�|D �}tdd� |D �� \}}} tdd� |D �� \} 500 } tdd� | D ��d � _ d� _ tdd� | D ��� _� j� _�� _ � jd kr�d� _ n 501 tdd� | 502 D ��� _ � j d � j � _ 503 ngd 504 \��� jd kr�d \��� ��fdd�|D �}tdd� |D �� \} 505 } � jd k�r 506 dtdd� | 507 D �� � _ n 508 td d� | 509 D ��� _ td d� | D ��� _ 510 d � _ �� _ � jd v �r5� j 511 � _� _d� _ nd� _ d� _� jd k�rV� jd k�rVtt�|���sV� j d7 _ |j|jk�r�� jd k�plt|t|� dk �} ttd! �} ttd" �| }� j 512 d }t� j | | || �� _ d S d S )#Nr �ignore)�overg �חAg-C ��6?g @�@T�.r� )r TrA rM )r= Fc 3 s* � | ]}t |� j��� jd kd�V qdS )rJ )r2 rB �trimr7 N)r r2 r7 �r< r� �r� r rB r; r? rH � s � � �z,FloatingFormat.fillFormat.<locals>.<genexpr>c s � � | ]}|� d �V qdS )re N)� partition�r< r� r; r; r? rH � rI c s r �r N��splitr 513 r; r; r? rH � rI c s r� r: r� r 514 r; r; r? rH � r� r r= c s r� r: r� r 515 r; r; r? rH � r� r( c s r� r: r� r 516 r; r; r? rH � r� rq c 3 s, � | ]}t |� jd ��� jdkd�V qdS )TrJ )r2 � 517 fractionalrB r r7 N)r r2 r7 r r r; r? rH � s � ��c s r r r r 518 r; r; r? rH � rI c s s � | ] 519 }t |�d ��V qdS )z-+N)rs �lstripr 520 r; r; r? rH � s � c s r� r: r� r 521 r; r; r? rH � r� c s r� r: r� r 522 r; r; r? rH � r� )rA rC rK r. r5 r6 )r r rs r_ r� �minr r� r� �pad_left� pad_rightr �exp_sizerB � 523 min_digitsr1 r� �zipr2 r7 r �signbitr� r ri )r� r� Z finite_valsZ abs_non_zero�max_val�min_val�strsZ frac_strs�_Zexp_strsZint_partZ frac_part�neginfZnanlenZinflen�offsetr; r r? r � s� 524 525 � � � 526 527 � 528 �zFloatingFormat.fillFormatc C s t �|�sTtdd��B t �|�r | jdkrdnd}|td }n|dk r&dn| jdkr-dnd}|td }d | j| j d 529 t|� | W d � S 1 sOw Y | j rlt 530 || j | j | j | j| jdk| j| jd �S t|| j | j | j d | j| jdk| j| jd � S )Nr )�invalidrJ r� r5 r r. r6 rK r )r2 r rB r r7 r � 531 exp_digitsT)r2 r rB r r r7 r r )r_ r r r` r7 ri r r rs r� r r2 r rB r r r )r� r� r7 �retr; r; r? �__call__� s: 532 533 � � �zFloatingFormat.__call__�F)�__name__� 534 __module__� __qualname__�__doc__r r r r; r; r; r? r� � s � Tr� Tr= c 535 C s` t |d�}t |d�}t |d�}t |d�}|dkr$|dkr$||kr$td��t| |||||||d�S )a� 536 537 Format a floating-point scalar as a decimal string in scientific notation. 538 539 Provides control over rounding, trimming and padding. Uses and assumes 540 IEEE unbiased rounding. Uses the "Dragon4" algorithm. 541 542 Parameters 543 ---------- 544 x : python float or numpy floating scalar 545 Value to format. 546 precision : non-negative integer or None, optional 547 Maximum number of digits to print. May be None if `unique` is 548 `True`, but must be an integer if unique is `False`. 549 unique : boolean, optional 550 If `True`, use a digit-generation strategy which gives the shortest 551 representation which uniquely identifies the floating-point number from 552 other values of the same type, by judicious rounding. If `precision` 553 is given fewer digits than necessary can be printed. If `min_digits` 554 is given more can be printed, in which cases the last digit is rounded 555 with unbiased rounding. 556 If `False`, digits are generated as if printing an infinite-precision 557 value and stopping after `precision` digits, rounding the remaining 558 value with unbiased rounding 559 trim : one of 'k', '.', '0', '-', optional 560 Controls post-processing trimming of trailing digits, as follows: 561 562 * 'k' : keep trailing zeros, keep decimal point (no trimming) 563 * '.' : trim all trailing zeros, leave decimal point 564 * '0' : trim all but the zero before the decimal point. Insert the 565 zero if it is missing. 566 * '-' : trim trailing zeros and any trailing decimal point 567 sign : boolean, optional 568 Whether to show the sign for positive values. 569 pad_left : non-negative integer, optional 570 Pad the left side of the string with whitespace until at least that 571 many characters are to the left of the decimal point. 572 exp_digits : non-negative integer, optional 573 Pad the exponent with zeros until it contains at least this many digits. 574 If omitted, the exponent will be at least 2 digits. 575 min_digits : non-negative integer or None, optional 576 Minimum number of digits to print. This only has an effect for 577 `unique=True`. In that case more digits than necessary to uniquely 578 identify the value may be printed and rounded unbiased. 579 580 -- versionadded:: 1.21.0 581 582 Returns 583 ------- 584 rep : string 585 The string representation of the floating point value 586 587 See Also 588 -------- 589 format_float_positional 590 591 Examples 592 -------- 593 >>> np.format_float_scientific(np.float32(np.pi)) 594 '3.1415927e+00' 595 >>> s = np.float32(1.23e24) 596 >>> np.format_float_scientific(s, unique=False, precision=15) 597 '1.230000071797338e+24' 598 >>> np.format_float_scientific(s, exp_digits=4) 599 '1.23e+0024' 600 r2 r r r r �2min_digits must be less than or equal to precision)r2 rB r r7 r r r )r� rU r )r� r2 rB r r7 r r r r; r; r? r s 601 E 602 603 604 �r c C sv t |d�}t |d�}t |d�}t |d�}|s |dkr td��|dkr.|dkr.||kr.td��t| ||||||||d� S ) a� 605 Format a floating-point scalar as a decimal string in positional notation. 606 607 Provides control over rounding, trimming and padding. Uses and assumes 608 IEEE unbiased rounding. Uses the "Dragon4" algorithm. 609 610 Parameters 611 ---------- 612 x : python float or numpy floating scalar 613 Value to format. 614 precision : non-negative integer or None, optional 615 Maximum number of digits to print. May be None if `unique` is 616 `True`, but must be an integer if unique is `False`. 617 unique : boolean, optional 618 If `True`, use a digit-generation strategy which gives the shortest 619 representation which uniquely identifies the floating-point number from 620 other values of the same type, by judicious rounding. If `precision` 621 is given fewer digits than necessary can be printed, or if `min_digits` 622 is given more can be printed, in which cases the last digit is rounded 623 with unbiased rounding. 624 If `False`, digits are generated as if printing an infinite-precision 625 value and stopping after `precision` digits, rounding the remaining 626 value with unbiased rounding 627 fractional : boolean, optional 628 If `True`, the cutoffs of `precision` and `min_digits` refer to the 629 total number of digits after the decimal point, including leading 630 zeros. 631 If `False`, `precision` and `min_digits` refer to the total number of 632 significant digits, before or after the decimal point, ignoring leading 633 zeros. 634 trim : one of 'k', '.', '0', '-', optional 635 Controls post-processing trimming of trailing digits, as follows: 636 637 * 'k' : keep trailing zeros, keep decimal point (no trimming) 638 * '.' : trim all trailing zeros, leave decimal point 639 * '0' : trim all but the zero before the decimal point. Insert the 640 zero if it is missing. 641 * '-' : trim trailing zeros and any trailing decimal point 642 sign : boolean, optional 643 Whether to show the sign for positive values. 644 pad_left : non-negative integer, optional 645 Pad the left side of the string with whitespace until at least that 646 many characters are to the left of the decimal point. 647 pad_right : non-negative integer, optional 648 Pad the right side of the string with whitespace until at least that 649 many characters are to the right of the decimal point. 650 min_digits : non-negative integer or None, optional 651 Minimum number of digits to print. Only has an effect if `unique=True` 652 in which case additional digits past those necessary to uniquely 653 identify the value may be printed, rounding the last additional digit. 654 655 -- versionadded:: 1.21.0 656 657 Returns 658 ------- 659 rep : string 660 The string representation of the floating point value 661 662 See Also 663 -------- 664 format_float_scientific 665 666 Examples 667 -------- 668 >>> np.format_float_positional(np.float32(np.pi)) 669 '3.1415927' 670 >>> np.format_float_positional(np.float16(np.pi)) 671 '3.14' 672 >>> np.format_float_positional(np.float16(0.3)) 673 '0.3' 674 >>> np.format_float_positional(np.float16(0.3), unique=False, precision=10) 675 '0.3000488281' 676 r2 r r r r z4precision must be greater than 0 if fractional=Falser& )r2 rB r r r7 r r r )r� rU r ) r� r2 rB r r r7 r r r r; r; r? r j s 677 M 678 679 680 �r c @ � e Zd Zdd� Zdd� ZdS )r� c C sF |j dkrtttt�|���ttt�|����}nd}d�|�| _d S )Nr z%{}d)r� r� rs r� r_ r rF )r� r� � max_str_lenr; r; r? r � s 681 �zIntegerFormat.__init__c C s 682 | j | S r: rE �r� r� r; r; r? r � � 683 zIntegerFormat.__call__N�r" r# r$ r r r; r; r; r? r� � s r� c @ r' )r� c K s |j dkr 684 d| _d S d| _d S )Nr; z True�True)ru �truestr)r� r� rp r; r; r? r � s zBoolFormat.__init__c C s |r| j S dS )N�False)r- r) r; r; r? r � � zBoolFormat.__call__Nr+ r; r; r; r? r� � s r� c @ s* e Zd ZdZ d dd�dd�Zdd� ZdS ) 685 r� z. Formatter for subtypes of np.complexfloating FNrh c C sb t |t�r |r dnd}| }}|dkrd}d}t|j|||||d�| _t|j|||d|d�| _d S )NrJ r. rM rC r) )r7 r9 )r[ rT r� �real� real_format�imag� imag_format) r� r� r2 r1 r� r7 r9 Zfloatmode_realZfloatmode_imagr; r; r? r � s 686 687 � 688 �z ComplexFloatingFormat.__init__c C sH | � |j�}| �|j�}t|�� �}|d |� d ||d � }|| S )N�j)r1 r0 r3 r2 rs r� )r� r� �rr� �spr; r; r? r � s 689 z ComplexFloatingFormat.__call__r! )r" r# r$ r% r r r; r; r; r? r� � s � � r� c @ s$ e Zd Zdd� Zdd� Zdd� ZdS )�_TimelikeFormatc C s~ |t |� }t|�dkr#tt| �t�|���t| �t�|����}nd}t|�|jk r1t|d�}d�|�| _d� |�| _ 690 d S )Nr � z%{}sz'NaT') r rs r� �_format_non_natr_ r r� rF �_format�rjust�_nat)r� r� Znon_natr( r; r; r? r � s � 691 z_TimelikeFormat.__init__c C s t �r: )�NotImplementedErrorr) r; r; r? r9 s z _TimelikeFormat._format_non_natc C s t |�r| jS | j| �|� S r: )r r< r: r9 r) r; r; r? r s z_TimelikeFormat.__call__N)r" r# r$ r r9 r r; r; r; r? r7 � s r7 c s6 e Zd Z d 692 � fdd� Z� fdd�Zdd � Z� ZS ) r� N� same_kindFc s\ |d u r|j jdkrt|j �d }nd}|d u rd}|| _|| _|| _|| _t� �|� d S )N�Mr r� �naive) r� �kindr �timezone�unit�castingr9 �superr )r� r� rC rB rD r9 �� __class__r; r? r s zDatetimeFormat.__init__c s | j dkr 693 | �|�S t� �|�S )NrM )r9 r9 rE r r) rF r; r? r , s 694 695 zDatetimeFormat.__call__c C s dt || j| j| jd� S )N�'%s')rC rB rD )r rC rB rD r) r; r; r? r9 1 s 696 �z DatetimeFormat._format_non_nat)NNr> F)r" r# r$ r r r9 � __classcell__r; r; rF r? r� s � r� c @ s e Zd Zdd� ZdS )r� c C s t |�d��S )N�i8)r� �astyper) r; r; r? r9 9 r/ z TimedeltaFormat._format_non_natN)r" r# r$ r9 r; r; r; r? r� 8 s r� c @ r' )�SubArrayFormatc C � 697 || _ d S r: �r� )r� r� r; r; r? r > r* zSubArrayFormat.__init__c sJ |j dkrdd�� fdd�|D �� d S dd�� fdd�|D �� d S )Nr r� rD c 3 � � | ]}� � |�V qd S r: rN �r< rx �r� r; r? rH C rI z*SubArrayFormat.__call__.<locals>.<genexpr>r� c 3 rO r: )r rP rQ r; r? rH D rI )rt rV )r� �arrr; rQ r? r A s 698 zSubArrayFormat.__call__Nr+ r; r; r; r? rL = s rL c @ s, e Zd ZdZdd� Zedd� �Zdd� ZdS ) r� z� 699 Formatter for structured np.void objects. 700 701 This does not work on structured alias types like np.dtype(('i4', 'i2,i2')), 702 as alias scalars lose their field information, and the implementation 703 relies upon np.void.__getitem__. 704 c C rM r: )�format_functions)r� rS r; r; r? r O r* z StructuredVoidFormat.__init__c K sP g }|j jD ] }t|| fi |��}|j | jdkr t|�}|�|� q| |�S )z� 705 This is a second way to initialize StructuredVoidFormat, using the raw data 706 as input. Added to avoid changing the signature of __init__. 707 r; )r� r� r� ru rL �append)�clsr� rc rS � 708 field_namer� r; r; r? r� R s z StructuredVoidFormat.from_datac C s@ dd� t || j�D �}t|�dkrd�|d �S d�d�|��S )Nc S s g | ]\}}||��qS r; r; )r< �fieldr� r; r; r? r� a s ��z1StructuredVoidFormat.__call__.<locals>.<listcomp>r z({},)r z({})rD )r rS rs rF rV )r� r� Z 709 str_fieldsr; r; r? r ` s 710 � z StructuredVoidFormat.__call__N)r" r# r$ r% r � classmethodr� r r; r; r; r? r� G s 711 r� c C s t jt| �fi t��| �S )z� 712 Implements the repr for structured-void scalars. It is called from the 713 scalartypes.c.src code, and is placed here because it uses the elementwise 714 formatters defined above. 715 )r� r� r ri r� r; r; r? �_void_scalar_reprk s rY c C s< t �| �} td dkr| jtkrdS | jdurdS | jtv S )a 716 Determine if the given dtype is implied by the representation of its values. 717 718 Parameters 719 ---------- 720 dtype : dtype 721 Data type 722 723 Returns 724 ------- 725 implied : bool 726 True if the dtype is implied by the representation of its values. 727 728 Examples 729 -------- 730 >>> np.core.arrayprint.dtype_is_implied(int) 731 True 732 >>> np.array([1, 2, 3], int) 733 array([1, 2, 3]) 734 >>> np.core.arrayprint.dtype_is_implied(np.int8) 735 False 736 >>> np.array([1, 2, 3], np.int8) 737 array([1, 2, 3], dtype=int8) 738 r9 rM FN)r_ r� ri ry r$ r� � _typelessdata)r� r; r; r? �dtype_is_impliedw s 739 740 741 r[ c C sn t | �jtjjkr t| �S | jdurt| �S t| j t�r"dt| � S | j }|r5|d � 742 � r1|� � s5t|�}|S )z� 743 Convert a dtype to a short form which evaluates to the same dtype. 744 745 The intent is roughly that the following holds 746 747 >>> from numpy import * 748 >>> dt = np.int64([1, 2]).dtype 749 >>> assert eval(dtype_short_repr(dt)) == dt 750 NrH r ) ry �__repr__r_ r� r r� r� r� r% r� �isalpha�isalnum)r� �typenamer; r; r? �dtype_short_repr� s 751 752 r` c C s^ |du rt d }t| �turt| �j}nd}t| j�o | jdk}|d }|r(dnd}t d d kr@| jd 753 kr@| jjs@t | � 754 � �} n | jdksJ| jd krV|| |||d ||d �} ndt | j�f } || | } 755 |rh| 756 S d� t | j��} t | 757 �| 758 �d�d } d} t d d kr�t| jjt�r�ddt |d � } n| t | � d |kr�ddt |d � } | 759 | | S )zEInternal version of array_repr() that allows overriding array2string.Nr4 r r �(�)�,r9 rM r; )r rD )r� z [], shape=%sz dtype={})r� r rK )ri ry r r" r[ r� r� ru r� r r� rF r` rs �rfindr� r% )rR r� r2 r� r � 760 class_nameZ skipdtyper� r� r� Zarr_str� dtype_strZ last_line_len�spacerr; r; r? �_array_repr_implementation� s: 761 � � rh c C r� r: r; �rR r� r2 r� r; r; r? �_array_repr_dispatcher� � rj c C � t | |||�S )a 762 Return the string representation of an array. 763 764 Parameters 765 ---------- 766 arr : ndarray 767 Input array. 768 max_line_width : int, optional 769 Inserts newlines if text is longer than `max_line_width`. 770 Defaults to ``numpy.get_printoptions()['linewidth']``. 771 precision : int, optional 772 Floating point precision. 773 Defaults to ``numpy.get_printoptions()['precision']``. 774 suppress_small : bool, optional 775 Represent numbers "very close" to zero as zero; default is False. 776 Very close is defined by precision: if the precision is 8, e.g., 777 numbers smaller (in absolute value) than 5e-9 are represented as 778 zero. 779 Defaults to ``numpy.get_printoptions()['suppress']``. 780 781 Returns 782 ------- 783 string : str 784 The string representation of an array. 785 786 See Also 787 -------- 788 array_str, array2string, set_printoptions 789 790 Examples 791 -------- 792 >>> np.array_repr(np.array([1,2])) 793 'array([1, 2])' 794 >>> np.array_repr(np.ma.array([0.])) 795 'MaskedArray([0.])' 796 >>> np.array_repr(np.array([], np.int32)) 797 'array([], dtype=int32)' 798 799 >>> x = np.array([1e-6, 4e-7, 2, 3]) 800 >>> np.array_repr(x, precision=6, suppress_small=True) 801 'array([0.000001, 0. , 2. , 3. ])' 802 803 )rh ri r; r; r? r � s -�r c C s t | t�r t| �S t| �S r: )r[ �bytesr r� )r> r; r; r? �_guarded_repr_or_str s 804 rn c C sX t d dkr| jdkr| jjst| �� �S | jdkr#ttj� | d��S || |||dd�S )zDInternal version of array_str() that allows overriding array2string.r9 rM r; rK r� ) 805 ri ru r� r� r� r� rn r_ r � __getitem__)rx r� r2 r� r r; r; r? �_array_str_implementation# s 806 rp c C r� r: r; �rx r� r2 r� r; r; r? �_array_str_dispatcher7 rk rr c C rl )aa 807 Return a string representation of the data in an array. 808 809 The data in the array is returned as a single string. This function is 810 similar to `array_repr`, the difference being that `array_repr` also 811 returns information on the kind of array and its data type. 812 813 Parameters 814 ---------- 815 a : ndarray 816 Input array. 817 max_line_width : int, optional 818 Inserts newlines if text is longer than `max_line_width`. 819 Defaults to ``numpy.get_printoptions()['linewidth']``. 820 precision : int, optional 821 Floating point precision. 822 Defaults to ``numpy.get_printoptions()['precision']``. 823 suppress_small : bool, optional 824 Represent numbers "very close" to zero as zero; default is False. 825 Very close is defined by precision: if the precision is 8, e.g., 826 numbers smaller (in absolute value) than 5e-9 are represented as 827 zero. 828 Defaults to ``numpy.get_printoptions()['suppress']``. 829 830 See Also 831 -------- 832 array2string, array_repr, set_printoptions 833 834 Examples 835 -------- 836 >>> np.array_str(np.arange(3)) 837 '[0 1 2]' 838 839 )rp rq r; r; r? r < s $�r � __wrapped__)r c C s0 | du r|r t �td�S t �td�S t �| |�S )a� 840 Set a Python function to be used when pretty printing arrays. 841 842 Parameters 843 ---------- 844 f : function or None 845 Function to be used to pretty print arrays. The function should expect 846 a single array argument and return a string of the representation of 847 the array. If None, the function is reset to the default NumPy function 848 to print arrays. 849 repr : bool, optional 850 If True (default), the function for pretty printing (``__repr__``) 851 is set, if False the function that returns the default string 852 representation (``__str__``) is set. 853 854 See Also 855 -------- 856 set_printoptions, get_printoptions 857 858 Examples 859 -------- 860 >>> def pprint(arr): 861 ... return 'HA! - What are you going to do now?' 862 ... 863 >>> np.set_string_function(pprint) 864 >>> a = np.arange(10) 865 >>> a 866 HA! - What are you going to do now? 867 >>> _ = a 868 >>> # [0 1 2 3 4 5 6 7 8 9] 869 870 We can reset the function to the default: 871 872 >>> np.set_string_function(None) 873 >>> a 874 array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) 875 876 `repr` affects either pretty printing or normal string representation. 877 Note that ``__repr__`` is still affected by setting ``__str__`` 878 because the width of each array element in the returned string becomes 879 equal to the length of the result of ``__str__()``. 880 881 >>> x = np.arange(4) 882 >>> np.set_string_function(lambda x:'random', repr=False) 883 >>> x.__str__() 884 'random' 885 >>> x.__repr__() 886 'array([0, 1, 2, 3])' 887 888 Nr r )r r �_default_array_repr�_default_array_str)r� r r; r; r? r l s 889 3 r ) NNNNNNNNNNN) 890 NNNNNNNNNN)r; )r� )rK r� ) NNNNNNNNNNNN)NTr= FNNN)NTTr= FNNN)NNN)T)br% �__all__� __docformat__r� r\ rW �_threadr � ImportError� _dummy_threadrg r_ r� r r� �umathr r r r r r r r r r r r � fromnumericr �numericr r r r r r! r" r# r$ r% r� r& r' ra rY � 891 contextlibrX ri rf r r rn �contextmanagerr rv r} r� r� r� r� r� r� r� r� r r� r� r� r� r� r r r� r� r� r7 r� r� rL r� rY rZ r[ r` rh rj r rn rp rr r �getattr�_array2string_impl�partialru rt r r; r; r; r? �<module> s � $ $� 892 �4�� 3 893 ! 894 !1 895 ) � � 896 �� 2v �O �[ 897 ! 898 $ $ 899 �0 900 � 901 0 902 903 � 904 � 905 (��