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Editing: _add_newdocs_scalars.cpython-311.pyc
� ���c1/ � �B � d Z ddlZddlZddlmZ ddlmZ ddlmZ d� Z e g d�� � Z d� Z e � � \ Z Z d e � d e � d �Zd � Z ed dgd� � edg d� � edg d� � edg d� � edg d� � edg d� � edg d� � ed g d � � ed g d � � ed g d!� � ed"g d#� � ed$g d%� � ed&g d'� � ed(d)gd*� � ed+d,gd-� � ed.d/gd0� � ed1d2d3gd4� � ed5d6d7gd8� � ed9g d:� � ed;d<gd=� � ed>d?gd@� � edAg dB� � edCg dD� � edEg dF� � edGdHdI� � dJD ]>Z edGedKdL� e�M� � f� � edGedNdOe� dPe� dQe� dR�f� � �?dSD ]CZ edGedTdOe� dUe� dV� ee� � j � � � rdWe� dX�ndYz f� � �DdS )Zz� This file is separate from ``_add_newdocs.py`` so that it can be mocked out by our sphinx ``conf.py`` during doc builds, where we want to avoid showing platform-dependent information. � N)�dtype)� numerictypes)� add_newdocc �< � � � fd�}t |� � � � S )Nc 3 �v �K � �D ]2\ } } t t | � � }|| |fV � �## t $ r Y �/w xY wd S )N)�getattr� _numerictypes�AttributeError)�alias�doc� alias_type�aliasess ��A/usr/lib/python3/dist-packages/numpy/core/_add_newdocs_scalars.py�type_aliases_genz.numeric_type_aliases.<locals>.type_aliases_gen sr �� � � �!� /� /�J�E�3� /� $�]�E� :� :� � "�5�#�.�.�.�.�.�� "� � � ��� ���� /� /s �)� 6�6)�list)r r s ` r �numeric_type_aliasesr s6 �� �/� /� /� /� /� � � �"�"� #� #�#� ))�int8z*8-bit signed integer (``-128`` to ``127``))�int16z116-bit signed integer (``-32_768`` to ``32_767``))�int32z?32-bit signed integer (``-2_147_483_648`` to ``2_147_483_647``))�int64zW64-bit signed integer (``-9_223_372_036_854_775_808`` to ``9_223_372_036_854_775_807``))�intpzJSigned integer large enough to fit pointer, compatible with C ``intptr_t``)�uint8z)8-bit unsigned integer (``0`` to ``255``))�uint16z-16-bit unsigned integer (``0`` to ``65_535``))�uint32z432-bit unsigned integer (``0`` to ``4_294_967_295``))�uint64zA64-bit unsigned integer (``0`` to ``18_446_744_073_709_551_615``))�uintpzMUnsigned integer large enough to fit pointer, compatible with C ``uintptr_t``)�float16zX16-bit-precision floating-point number type: sign bit, 5 bits exponent, 10 bits mantissa)�float32zX32-bit-precision floating-point number type: sign bit, 8 bits exponent, 23 bits mantissa)�float64zY64-bit precision floating-point number type: sign bit, 11 bits exponent, 52 bits mantissa)�float96z496-bit extended-precision floating-point number type)�float128z5128-bit extended-precision floating-point number type)� complex64zIComplex number type composed of 2 32-bit-precision floating-point numbers)� complex128zIComplex number type composed of 2 64-bit-precision floating-point numbers)� complex192zRComplex number type composed of 2 96-bit extended-precision floating-point numbers)� complex256zSComplex number type composed of 2 128-bit extended-precision floating-point numbersc � � t j � � \ } }}}}ne# t $ rX t j } | dk rAt j � dd� � p t j � dd� � }nd}Y nw xY w| |fS )N�win32�PROCESSOR_ARCHITEW6432� �PROCESSOR_ARCHITECTURE�unknown)�os�unamer �sys�platform�environ�get)�system�_�machines r �_get_platform_and_machiner6 6 s� � � �#%�8�:�:� ���1�a���� � � � �� �� �W� � ��j�n�n�%=�r�B�B� D��z�~�~�&>��C�C� �G� �G��� ���� �7�?�s � �A A>�=A>z:Alias on this platform (� z):c �| �� t t | � � �t �� � j }| �j k rdnd| � d�}|r d� d� |D � � � � }nd}|d� �fd�t D � � � � z }d|� � � � d|� d|� |� d�}t d | |� � d S ) Nr* z:Canonical name: `numpy.�` c 3 �" K � | ] }d |� d�V � � dS )z:Alias: `numpy.r9 N� )�.0r s r � <genexpr>z-add_newdoc_for_scalar_type.<locals>.<genexpr>O sA � � � � 8� 8� %� =�e� <� <� <� 8� 8� 8� 8� 8� 8r c 3 �H �K � | ] \ }}}|�u � t � d |� d|� d�V � � dS )z `numpy.z`: z. N)�_doc_alias_string)r< r r r �os �r r= z-add_newdoc_for_scalar_type.<locals>.<genexpr>S sX �� � � � ^� ^� 5�j�%��Z�[\�_�_� .�M�M�u�M�M��M�M�M�M\�_�_�_�^� ^r z z :Character code: ``'z'`` �numpy.core.numerictypes) r r r �char�__name__�join�possible_aliases�stripr )�obj� fixed_aliasesr �character_code�canonical_name_doc� alias_doc� docstringr@ s @r �add_newdoc_for_scalar_typerM G s1 �� �� �s�#�#�A��1�X�X�]�N� "�a�j� 0� 0���?�3�?�?�?� �� ��G�G� 8� 8�)6� 8� 8� 8� 8� 8� � � � � ���� ^� ^� ^� ^�9I�^� ^� ^� ^� ^� ^�I���Y�Y�[�[�� � (�� � � � #� � � �I� �(�#�y�9�9�9�9�9r �bool_�bool8aD Boolean type (True or False), stored as a byte. .. warning:: The :class:`bool_` type is not a subclass of the :class:`int_` type (the :class:`bool_` is not even a number type). This is different than Python's default implementation of :class:`bool` as a sub-class of :class:`int`. �bytez: Signed integer type, compatible with C ``char``. �shortz; Signed integer type, compatible with C ``short``. �intcz9 Signed integer type, compatible with C ``int``. �int_zK Signed integer type, compatible with Python `int` and C ``long``. �longlongz? Signed integer type, compatible with C ``long long``. �ubytezE Unsigned integer type, compatible with C ``unsigned char``. �ushortzF Unsigned integer type, compatible with C ``unsigned short``. �uintczD Unsigned integer type, compatible with C ``unsigned int``. �uintzE Unsigned integer type, compatible with C ``unsigned long``. � ulonglongzH Signed integer type, compatible with C ``unsigned long long``. �halfz4 Half-precision floating-point number type. �singlezS Single-precision floating-point number type, compatible with C ``float``. �double�float_zk Double-precision floating-point number type, compatible with Python `float` and C ``double``. � longdouble� longfloatz� Extended-precision floating-point number type, compatible with C ``long double`` but not necessarily with IEEE 754 quadruple-precision. �csingle� singlecomplexzZ Complex number type composed of two single-precision floating-point numbers. �cdouble�cfloat�complex_z| Complex number type composed of two double-precision floating-point numbers, compatible with Python `complex`. � clongdouble� clongfloat� longcomplexz\ Complex number type composed of two extended-precision floating-point numbers. �object_z Any Python object. �str_�unicode_aV A unicode string. When used in arrays, this type strips trailing null codepoints. Unlike the builtin `str`, this supports the :ref:`python:bufferobjects`, exposing its contents as UCS4: >>> m = memoryview(np.str_("abc")) >>> m.format '3w' >>> m.tobytes() b'a\x00\x00\x00b\x00\x00\x00c\x00\x00\x00' �bytes_�string_zX A byte string. When used in arrays, this type strips trailing null bytes. �voida� np.void(length_or_data, /, dtype=None) Create a new structured or unstructured void scalar. Parameters ---------- length_or_data : int, array-like, bytes-like, object One of multiple meanings (see notes). The length or bytes data of an unstructured void. Or alternatively, the data to be stored in the new scalar when `dtype` is provided. This can be an array-like, in which case an array may be returned. dtype : dtype, optional If provided the dtype of the new scalar. This dtype must be "void" dtype (i.e. a structured or unstructured void, see also :ref:`defining-structured-types`). ..versionadded:: 1.24 Notes ----- For historical reasons and because void scalars can represent both arbitrary byte data and structured dtypes, the void constructor has three calling conventions: 1. ``np.void(5)`` creates a ``dtype="V5"`` scalar filled with five ``\0`` bytes. The 5 can be a Python or NumPy integer. 2. ``np.void(b"bytes-like")`` creates a void scalar from the byte string. The dtype itemsize will match the byte string length, here ``"V10"``. 3. When a ``dtype=`` is passed the call is rougly the same as an array creation. However, a void scalar rather than array is returned. Please see the examples which show all three different conventions. Examples -------- >>> np.void(5) void(b'\x00\x00\x00\x00\x00') >>> np.void(b'abcd') void(b'\x61\x62\x63\x64') >>> np.void((5, 3.2, "eggs"), dtype="i,d,S5") (5, 3.2, b'eggs') # looks like a tuple, but is `np.void` >>> np.void(3, dtype=[('x', np.int8), ('y', np.int8)]) (3, 3) # looks like a tuple, but is `np.void` � datetime64a� If created from a 64-bit integer, it represents an offset from ``1970-01-01T00:00:00``. If created from string, the string can be in ISO 8601 date or datetime format. >>> np.datetime64(10, 'Y') numpy.datetime64('1980') >>> np.datetime64('1980', 'Y') numpy.datetime64('1980') >>> np.datetime64(10, 'D') numpy.datetime64('1970-01-11') See :ref:`arrays.datetime` for more information. � timedelta64zg A timedelta stored as a 64-bit integer. See :ref:`arrays.datetime` for more information. rA �integer)� is_integerz� integer.is_integer() -> bool Return ``True`` if the number is finite with integral value. .. versionadded:: 1.22 Examples -------- >>> np.int64(-2).is_integer() True >>> np.uint32(5).is_integer() True )rZ r[ r\ r^ �as_integer_ratioa� {ftype}.as_integer_ratio() -> (int, int) Return a pair of integers, whose ratio is exactly equal to the original floating point number, and with a positive denominator. Raise `OverflowError` on infinities and a `ValueError` on NaNs. >>> np.{ftype}(10.0).as_integer_ratio() (10, 1) >>> np.{ftype}(0.0).as_integer_ratio() (0, 1) >>> np.{ftype}(-.25).as_integer_ratio() (-1, 4) )�ftyperq z z�.is_integer() -> bool Return ``True`` if the floating point number is finite with integral value, and ``False`` otherwise. .. versionadded:: 1.22 Examples -------- >>> np.z0(-2.0).is_integer() True >>> np.z)(3.2).is_integer() False ) r r r r r r r r r r r r � bit_countz�.bit_count() -> int Computes the number of 1-bits in the absolute value of the input. Analogous to the builtin `int.bit_count` or ``popcount`` in C++. 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