Server : LiteSpeed
System : Linux server51.dnsbootclub.com 4.18.0-553.62.1.lve.el8.x86_64 #1 SMP Mon Jul 21 17:50:35 UTC 2025 x86_64
User : nandedex ( 1060)
PHP Version : 8.1.33
Disable Function : NONE
Directory :  /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/doc/__pycache__/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]


Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/doc/__pycache__/constants.cpython-311.pyc
�

�h�#��L�dZddlZddlZgZd�Zeddd��eddd��edd	d
��eddd��edd
d��eddd��eddd��eddd��eddd��eddd��eddd��eddd��eddd��eddd��eddd��e�rLgZe���eD�]\ZZej	e���
d d!��Ze�d ��Z
gZe
D]�Zejd"e��Zergereej	e�����Ze�e�d#���d$e����e�d%���|e�e����d �e��Ze�d&e�d!e������d �e��Zeee�'��zZ[[[[[
[[[[[[dS)(zo
=========
Constants
=========

.. currentmodule:: numpy

NumPy includes several constants:

%(constant_list)s
�Nc�>�t�||f��dS)N)�	constants�append)�module�name�docs   �f/builddir/build/BUILD/cloudlinux-venv-1.0.8/venv/lib64/python3.11/site-packages/numpy/doc/constants.py�
add_newdocr
s ��
���d�C�[�!�!�!�!�!��numpy�pizv
    ``pi = 3.1415926535897932384626433...``

    References
    ----------
    https://en.wikipedia.org/wiki/Pi

    �eaE
    Euler's constant, base of natural logarithms, Napier's constant.

    ``e = 2.71828182845904523536028747135266249775724709369995...``

    See Also
    --------
    exp : Exponential function
    log : Natural logarithm

    References
    ----------
    https://en.wikipedia.org/wiki/E_%28mathematical_constant%29

    �euler_gammau�
    ``γ = 0.5772156649015328606065120900824024310421...``

    References
    ----------
    https://en.wikipedia.org/wiki/Euler-Mascheroni_constant

    �infa�
    IEEE 754 floating point representation of (positive) infinity.

    Returns
    -------
    y : float
        A floating point representation of positive infinity.

    See Also
    --------
    isinf : Shows which elements are positive or negative infinity

    isposinf : Shows which elements are positive infinity

    isneginf : Shows which elements are negative infinity

    isnan : Shows which elements are Not a Number

    isfinite : Shows which elements are finite (not one of Not a Number,
    positive infinity and negative infinity)

    Notes
    -----
    NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754). This means that Not a Number is not equivalent to infinity.
    Also that positive infinity is not equivalent to negative infinity. But
    infinity is equivalent to positive infinity.

    `Inf`, `Infinity`, `PINF` and `infty` are aliases for `inf`.

    Examples
    --------
    >>> np.inf
    inf
    >>> np.array([1]) / 0.
    array([ Inf])

    �nana�
    IEEE 754 floating point representation of Not a Number (NaN).

    Returns
    -------
    y : A floating point representation of Not a Number.

    See Also
    --------
    isnan : Shows which elements are Not a Number.

    isfinite : Shows which elements are finite (not one of
    Not a Number, positive infinity and negative infinity)

    Notes
    -----
    NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754). This means that Not a Number is not equivalent to infinity.

    `NaN` and `NAN` are aliases of `nan`.

    Examples
    --------
    >>> np.nan
    nan
    >>> np.log(-1)
    nan
    >>> np.log([-1, 1, 2])
    array([        NaN,  0.        ,  0.69314718])

    �newaxisa
    A convenient alias for None, useful for indexing arrays.

    Examples
    --------
    >>> newaxis is None
    True
    >>> x = np.arange(3)
    >>> x
    array([0, 1, 2])
    >>> x[:, newaxis]
    array([[0],
    [1],
    [2]])
    >>> x[:, newaxis, newaxis]
    array([[[0]],
    [[1]],
    [[2]]])
    >>> x[:, newaxis] * x
    array([[0, 0, 0],
    [0, 1, 2],
    [0, 2, 4]])

    Outer product, same as ``outer(x, y)``:

    >>> y = np.arange(3, 6)
    >>> x[:, newaxis] * y
    array([[ 0,  0,  0],
    [ 3,  4,  5],
    [ 6,  8, 10]])

    ``x[newaxis, :]`` is equivalent to ``x[newaxis]`` and ``x[None]``:

    >>> x[newaxis, :].shape
    (1, 3)
    >>> x[newaxis].shape
    (1, 3)
    >>> x[None].shape
    (1, 3)
    >>> x[:, newaxis].shape
    (3, 1)

    �NZEROa�
    IEEE 754 floating point representation of negative zero.

    Returns
    -------
    y : float
        A floating point representation of negative zero.

    See Also
    --------
    PZERO : Defines positive zero.

    isinf : Shows which elements are positive or negative infinity.

    isposinf : Shows which elements are positive infinity.

    isneginf : Shows which elements are negative infinity.

    isnan : Shows which elements are Not a Number.

    isfinite : Shows which elements are finite - not one of
               Not a Number, positive infinity and negative infinity.

    Notes
    -----
    NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754). Negative zero is considered to be a finite number.

    Examples
    --------
    >>> np.NZERO
    -0.0
    >>> np.PZERO
    0.0

    >>> np.isfinite([np.NZERO])
    array([ True])
    >>> np.isnan([np.NZERO])
    array([False])
    >>> np.isinf([np.NZERO])
    array([False])

    �PZEROa�
    IEEE 754 floating point representation of positive zero.

    Returns
    -------
    y : float
        A floating point representation of positive zero.

    See Also
    --------
    NZERO : Defines negative zero.

    isinf : Shows which elements are positive or negative infinity.

    isposinf : Shows which elements are positive infinity.

    isneginf : Shows which elements are negative infinity.

    isnan : Shows which elements are Not a Number.

    isfinite : Shows which elements are finite - not one of
               Not a Number, positive infinity and negative infinity.

    Notes
    -----
    NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754). Positive zero is considered to be a finite number.

    Examples
    --------
    >>> np.PZERO
    0.0
    >>> np.NZERO
    -0.0

    >>> np.isfinite([np.PZERO])
    array([ True])
    >>> np.isnan([np.PZERO])
    array([False])
    >>> np.isinf([np.PZERO])
    array([False])

    �NANz�
    IEEE 754 floating point representation of Not a Number (NaN).

    `NaN` and `NAN` are equivalent definitions of `nan`. Please use
    `nan` instead of `NAN`.

    See Also
    --------
    nan

    �NaNz�
    IEEE 754 floating point representation of Not a Number (NaN).

    `NaN` and `NAN` are equivalent definitions of `nan`. Please use
    `nan` instead of `NaN`.

    See Also
    --------
    nan

    �NINFa�
    IEEE 754 floating point representation of negative infinity.

    Returns
    -------
    y : float
        A floating point representation of negative infinity.

    See Also
    --------
    isinf : Shows which elements are positive or negative infinity

    isposinf : Shows which elements are positive infinity

    isneginf : Shows which elements are negative infinity

    isnan : Shows which elements are Not a Number

    isfinite : Shows which elements are finite (not one of Not a Number,
    positive infinity and negative infinity)

    Notes
    -----
    NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
    (IEEE 754). This means that Not a Number is not equivalent to infinity.
    Also that positive infinity is not equivalent to negative infinity. But
    infinity is equivalent to positive infinity.

    Examples
    --------
    >>> np.NINF
    -inf
    >>> np.log(0)
    -inf

    �PINFz�
    IEEE 754 floating point representation of (positive) infinity.

    Use `inf` because `Inf`, `Infinity`, `PINF` and `infty` are aliases for
    `inf`. For more details, see `inf`.

    See Also
    --------
    inf

    �infty�Inf�Infinity�
z
    z^(\s+)[-=]+\s*$�z.. rubric:: �z
.. data:: )�
constant_list)�__doc__�re�textwraprr
�
constants_str�sortrr�dedent�replace�s�split�lines�	new_lines�line�match�m�pop�prevr�group�join�dict�rr	�<module>r4s���
�
�
�	�	�	�����
�	�"�"�"��
�7�D��	�	�	��
�7�C��	�	�	�"�
�7�M��	�	�	��
�7�E�%�&	�&	�&	�P�
�7�E��	�	�	�B�
�7�I�*�+	�+	�+	�Z�
�7�G�*�+	�+	�+	�Z�
�7�G�*�+	�+	�+	�Z�
�7�E�
�	�	�	��
�7�E�
�	�	�	��
�7�F�#�$	�$	�$	�L�
�7�F�
�	�	�	��
�7�G�
�	�	�	��
�7�E�
�	�	�	��
�7�J�
�	�	�	��+��M�
�N�N�����E�E�	��c��H�O�C� � �(�(��x�8�8������
�
���	��	'�	'�D����+�T�2�2�A��
'�Y�
'�&�x��y�}�}���7�7��� � �q�w�w�q�z�z�z�z�4�4�!H�I�I�I�� � ��$�$�$�$�� � ��&�&�&�&��I�I�i� � ��	����4�4�4���C�D�D�D�D��I�I�m�,�,�M����=�9�9�9�9�G��t�S��e�Y��1�d�
�z�z�zr

F1le Man4ger