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ufunclike.cpython-311.pyc
� �|oi� � �� � d Z g d�Zddlmc mZ ddlmZ ddlZddl Z dd�Z ee dd�� � dd �� � Z ee dd�� � dd �� � Z ee dd�� � dd�� � Z dS ) zr Module of functions that are like ufuncs in acting on arrays and optionally storing results in an output array. )�fix�isneginf�isposinf� N)�array_function_dispatchc � � | |fS �N� )�x�outs �J/opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/lib/ufunclike.py�_dispatcherr s � � �s�8�O� F�numpy)�verify�modulec �� � t j t j | |�� � � � }t j | |t j | d� � �� � }|�#t |� � t j u r|d }|S )aL Round to nearest integer towards zero. Round an array of floats element-wise to nearest integer towards zero. The rounded values are returned as floats. Parameters ---------- x : array_like An array of floats to be rounded out : ndarray, optional A location into which the result is stored. If provided, it must have a shape that the input broadcasts to. If not provided or None, a freshly-allocated array is returned. Returns ------- out : ndarray of floats A float array with the same dimensions as the input. If second argument is not supplied then a float array is returned with the rounded values. If a second argument is supplied the result is stored there. The return value `out` is then a reference to that array. See Also -------- rint, trunc, floor, ceil around : Round to given number of decimals Examples -------- >>> np.fix(3.14) 3.0 >>> np.fix(3) 3.0 >>> np.fix([2.1, 2.9, -2.1, -2.9]) array([ 2., 2., -2., -2.]) )r r )r �whereNr )�nx� asanyarray�ceil�floor� greater_equal�type�ndarray)r r �ress r r r sm � �V �-����s�+�+�+� ,� ,�C� �(�1�#�R�%5�a��%;�%;� <� <� <�C� �{�t�C�y�y�B�J�.�.��"�g���Jr c � � t j | � � } t j | � � }t j |||� � S # t $ r2}t j | � � j }t d|� d�� � |�d}~ww xY w)a� Test element-wise for positive infinity, return result as bool array. Parameters ---------- x : array_like The input array. out : array_like, optional A location into which the result is stored. If provided, it must have a shape that the input broadcasts to. If not provided or None, a freshly-allocated boolean array is returned. Returns ------- out : ndarray A boolean array with the same dimensions as the input. If second argument is not supplied then a boolean array is returned with values True where the corresponding element of the input is positive infinity and values False where the element of the input is not positive infinity. If a second argument is supplied the result is stored there. If the type of that array is a numeric type the result is represented as zeros and ones, if the type is boolean then as False and True. The return value `out` is then a reference to that array. See Also -------- isinf, isneginf, isfinite, isnan Notes ----- NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). Errors result if the second argument is also supplied when x is a scalar input, if first and second arguments have different shapes, or if the first argument has complex values Examples -------- >>> np.isposinf(np.PINF) True >>> np.isposinf(np.inf) True >>> np.isposinf(np.NINF) False >>> np.isposinf([-np.inf, 0., np.inf]) array([False, False, True]) >>> x = np.array([-np.inf, 0., np.inf]) >>> y = np.array([2, 2, 2]) >>> np.isposinf(x, y) array([0, 0, 1]) >>> y array([0, 0, 1]) �$This operation is not supported for �& values because it would be ambiguous.N�r �isinf�signbit�logical_and� TypeErrorr �dtype�r r �is_infr! �er$ s r r r G s� � �x �X�a�[�[�F�4��:�a�=�=�.�� �~�f�g�s�3�3�3�� � A� A� A�� �a� � �&��� 9�u� 9� 9� 9� :� :�?@� A�����A���s �A � A=�-A8�8A=c � � t j | � � } t j | � � }t j |||� � S # t $ r2}t j | � � j }t d|� d�� � |�d}~ww xY w)a� Test element-wise for negative infinity, return result as bool array. Parameters ---------- x : array_like The input array. out : array_like, optional A location into which the result is stored. If provided, it must have a shape that the input broadcasts to. If not provided or None, a freshly-allocated boolean array is returned. Returns ------- out : ndarray A boolean array with the same dimensions as the input. If second argument is not supplied then a numpy boolean array is returned with values True where the corresponding element of the input is negative infinity and values False where the element of the input is not negative infinity. If a second argument is supplied the result is stored there. If the type of that array is a numeric type the result is represented as zeros and ones, if the type is boolean then as False and True. The return value `out` is then a reference to that array. See Also -------- isinf, isposinf, isnan, isfinite Notes ----- NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). Errors result if the second argument is also supplied when x is a scalar input, if first and second arguments have different shapes, or if the first argument has complex values. Examples -------- >>> np.isneginf(np.NINF) True >>> np.isneginf(np.inf) False >>> np.isneginf(np.PINF) False >>> np.isneginf([-np.inf, 0., np.inf]) array([ True, False, False]) >>> x = np.array([-np.inf, 0., np.inf]) >>> y = np.array([2, 2, 2]) >>> np.isneginf(x, y) array([1, 0, 0]) >>> y array([1, 0, 0]) r r Nr r% s r r r � s� � �x �X�a�[�[�F�4��*�Q�-�-�� �~�f�g�s�3�3�3�� � A� A� A�� �a� � �&��� 9�u� 9� 9� 9� :� :�?@� A�����A���s �A � A<� -A7�7A<r )�__doc__�__all__�numpy.core.numeric�core�numericr �numpy.core.overridesr �warnings� functoolsr r r r r r r �<module>r1 s$ ��� � *� )� )�� � � � � � � � � � 8� 8� 8� 8� 8� 8� ���� � � � �� � � � ���U�7�C�C�C�1� 1� 1� D�C�1�h ���U�7�C�C�C�C4� C4� C4� D�C�C4�L ���U�7�C�C�C�C4� C4� C4� D�C�C4� C4� C4r
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__init__.cpython-311.pyc
3423 bytes
0644
_datasource.cpython-311.pyc
26963 bytes
0644
_iotools.cpython-311.pyc
37740 bytes
0644
_version.cpython-311.pyc
7107 bytes
0644
arraypad.cpython-311.pyc
30678 bytes
0644
arraysetops.cpython-311.pyc
37177 bytes
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arrayterator.cpython-311.pyc
10331 bytes
0644
format.cpython-311.pyc
36763 bytes
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function_base.cpython-311.pyc
212943 bytes
0644
histograms.cpython-311.pyc
41840 bytes
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index_tricks.cpython-311.pyc
38196 bytes
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mixins.cpython-311.pyc
9254 bytes
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nanfunctions.cpython-311.pyc
70667 bytes
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npyio.cpython-311.pyc
105755 bytes
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polynomial.cpython-311.pyc
56266 bytes
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recfunctions.cpython-311.pyc
70450 bytes
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scimath.cpython-311.pyc
18205 bytes
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setup.cpython-311.pyc
947 bytes
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shape_base.cpython-311.pyc
45578 bytes
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stride_tricks.cpython-311.pyc
20951 bytes
0644
twodim_base.cpython-311.pyc
39293 bytes
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type_check.cpython-311.pyc
23840 bytes
0644
ufunclike.cpython-311.pyc
7515 bytes
0644
user_array.cpython-311.pyc
18624 bytes
0644
utils.cpython-311.pyc
46144 bytes
0644
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