403Webshell
Server IP : 217.160.0.135  /  Your IP : 216.73.217.85
Web Server : Apache
System : Linux www 6.18.52-i1-ampere #1203 SMP Mon Sep 14 18:29:59 CEST 2026 aarch64
User : sws1074145052 ( 1074145052)
PHP Version : 8.3.32
Disable Function : NONE
MySQL : OFF  |  cURL : ON  |  WGET : ON  |  Perl : ON  |  Python : OFF  |  Sudo : OFF  |  Pkexec : OFF
Directory :  /lib/python3/dist-packages/scipy/sparse/__pycache__/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Command :

[ Back ]     

Current File : /lib/python3/dist-packages/scipy/sparse/__pycache__/_extract.cpython-311.pyc
�

d�c(��>�dZdZgd�ZddlmZd�Zdd�Zdd	�Zd
�ZdS)z.Functions to extract parts of sparse matrices
zrestructuredtext en)�find�tril�triu�)�
coo_matrixc��t|d���}|���|jdk}|j||j||j|fS)aJReturn the indices and values of the nonzero elements of a matrix

    Parameters
    ----------
    A : dense or sparse matrix
        Matrix whose nonzero elements are desired.

    Returns
    -------
    (I,J,V) : tuple of arrays
        I,J, and V contain the row indices, column indices, and values
        of the nonzero matrix entries.


    Examples
    --------
    >>> from scipy.sparse import csr_matrix, find
    >>> A = csr_matrix([[7.0, 8.0, 0],[0, 0, 9.0]])
    >>> find(A)
    (array([0, 0, 1], dtype=int32), array([0, 1, 2], dtype=int32), array([ 7.,  8.,  9.]))

    T��copy�)r�sum_duplicates�data�row�col)�A�nz_masks  �7/usr/lib/python3/dist-packages/scipy/sparse/_extract.pyrrsR��0	�1�4� � � �A��������f��k�G��5��>�1�5��>�1�6�'�?�:�:�r
Nc��t|d���}|j|z|jk}t||���|��S)aReturn the lower triangular portion of a matrix in sparse format

    Returns the elements on or below the k-th diagonal of the matrix A.
        - k = 0 corresponds to the main diagonal
        - k > 0 is above the main diagonal
        - k < 0 is below the main diagonal

    Parameters
    ----------
    A : dense or sparse matrix
        Matrix whose lower trianglar portion is desired.
    k : integer : optional
        The top-most diagonal of the lower triangle.
    format : string
        Sparse format of the result, e.g. format="csr", etc.

    Returns
    -------
    L : sparse matrix
        Lower triangular portion of A in sparse format.

    See Also
    --------
    triu : upper triangle in sparse format

    Examples
    --------
    >>> from scipy.sparse import csr_matrix, tril
    >>> A = csr_matrix([[1, 2, 0, 0, 3], [4, 5, 0, 6, 7], [0, 0, 8, 9, 0]],
    ...                dtype='int32')
    >>> A.toarray()
    array([[1, 2, 0, 0, 3],
           [4, 5, 0, 6, 7],
           [0, 0, 8, 9, 0]])
    >>> tril(A).toarray()
    array([[1, 0, 0, 0, 0],
           [4, 5, 0, 0, 0],
           [0, 0, 8, 0, 0]])
    >>> tril(A).nnz
    4
    >>> tril(A, k=1).toarray()
    array([[1, 2, 0, 0, 0],
           [4, 5, 0, 0, 0],
           [0, 0, 8, 9, 0]])
    >>> tril(A, k=-1).toarray()
    array([[0, 0, 0, 0, 0],
           [4, 0, 0, 0, 0],
           [0, 0, 0, 0, 0]])
    >>> tril(A, format='csc')
    <3x5 sparse matrix of type '<class 'numpy.int32'>'
            with 4 stored elements in Compressed Sparse Column format>

    Fr�rr
r�_masked_coo�asformat�r�k�format�masks    rrr+�G��p	�1�5�!�!�!�A��5�1�9����D��q�$���(�(��0�0�0rc��t|d���}|j|z|jk}t||���|��S)aReturn the upper triangular portion of a matrix in sparse format

    Returns the elements on or above the k-th diagonal of the matrix A.
        - k = 0 corresponds to the main diagonal
        - k > 0 is above the main diagonal
        - k < 0 is below the main diagonal

    Parameters
    ----------
    A : dense or sparse matrix
        Matrix whose upper trianglar portion is desired.
    k : integer : optional
        The bottom-most diagonal of the upper triangle.
    format : string
        Sparse format of the result, e.g. format="csr", etc.

    Returns
    -------
    L : sparse matrix
        Upper triangular portion of A in sparse format.

    See Also
    --------
    tril : lower triangle in sparse format

    Examples
    --------
    >>> from scipy.sparse import csr_matrix, triu
    >>> A = csr_matrix([[1, 2, 0, 0, 3], [4, 5, 0, 6, 7], [0, 0, 8, 9, 0]],
    ...                dtype='int32')
    >>> A.toarray()
    array([[1, 2, 0, 0, 3],
           [4, 5, 0, 6, 7],
           [0, 0, 8, 9, 0]])
    >>> triu(A).toarray()
    array([[1, 2, 0, 0, 3],
           [0, 5, 0, 6, 7],
           [0, 0, 8, 9, 0]])
    >>> triu(A).nnz
    8
    >>> triu(A, k=1).toarray()
    array([[0, 2, 0, 0, 3],
           [0, 0, 0, 6, 7],
           [0, 0, 0, 9, 0]])
    >>> triu(A, k=-1).toarray()
    array([[1, 2, 0, 0, 3],
           [4, 5, 0, 6, 7],
           [0, 0, 8, 9, 0]])
    >>> triu(A, format='csc')
    <3x5 sparse matrix of type '<class 'numpy.int32'>'
            with 8 stored elements in Compressed Sparse Column format>

    Frrrs    rrrhrrc��|j|}|j|}|j|}t|||ff|j|j���S)N)�shape�dtype)r
rrrrr)rrr
rrs     rrr�sE��
�%��+�C�
�%��+�C��6�$�<�D��t�c�3�Z�(���q�w�G�G�G�Gr)r
N)	�__doc__�
__docformat__�__all__�_coorrrrr�rr�<module>r%s�����&�
�
"�
"�
"��������;�;�;�>:1�:1�:1�:1�z:1�:1�:1�:1�zH�H�H�H�Hr

Youez - 2016 - github.com/yon3zu
LinuXploit