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文件: /usr/lib/python3/dist-packages/scipy/sparse/__pycache__/_matrix_io.cpython-311.pyc
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� d�c � �D � d dl Zd dlZddgZ ed�� � Zd d�Zd� ZdS ) � N�save_npz�load_npzF)� allow_pickleTc � � i }|j dv r"|� |j |j �� � n{|j dk r |� |j �� � nT|j dk r"|� |j |j �� � n't d� |j � � � � �|� |j � d� � |j |j � � � |rt j | fi |�� d S t j | fi |�� d S ) ac Save a sparse matrix to a file using ``.npz`` format. Parameters ---------- file : str or file-like object Either the file name (string) or an open file (file-like object) where the data will be saved. If file is a string, the ``.npz`` extension will be appended to the file name if it is not already there. matrix: spmatrix (format: ``csc``, ``csr``, ``bsr``, ``dia`` or coo``) The sparse matrix to save. compressed : bool, optional Allow compressing the file. Default: True See Also -------- scipy.sparse.load_npz: Load a sparse matrix from a file using ``.npz`` format. numpy.savez: Save several arrays into a ``.npz`` archive. numpy.savez_compressed : Save several arrays into a compressed ``.npz`` archive. Examples -------- Store sparse matrix to disk, and load it again: >>> import numpy as np >>> import scipy.sparse >>> sparse_matrix = scipy.sparse.csc_matrix(np.array([[0, 0, 3], [4, 0, 0]])) >>> sparse_matrix <2x3 sparse matrix of type '<class 'numpy.int64'>' with 2 stored elements in Compressed Sparse Column format> >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) >>> scipy.sparse.save_npz('/tmp/sparse_matrix.npz', sparse_matrix) >>> sparse_matrix = scipy.sparse.load_npz('/tmp/sparse_matrix.npz') >>> sparse_matrix <2x3 sparse matrix of type '<class 'numpy.int64'>' with 2 stored elements in Compressed Sparse Column format> >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) ��csc�csr�bsr)�indices�indptr�dia)�offsets�coo)�row�colz7Save is not implemented for sparse matrix of format {}.�ascii)�format�shape�dataN)r �updater r r r r �NotImplementedError�encoder r �np�savez_compressed�savez)�file�matrix� compressed� arrays_dicts �9/usr/lib/python3/dist-packages/scipy/sparse/_matrix_io.pyr r s0 � �Z �K� �}�-�-�-����6�>�&�-��H�H�H�H� � �%� � ����6�>��2�2�2�2� � �%� � ����v�z�v�z��:�:�:�:�!�"[�"b�"b�ci�cp�"q�"q�r�r�r�����}�#�#�G�,�,��l� �[� � � � � � &� ��D�0�0�K�0�0�0�0�0� ���%�%��%�%�%�%�%� c � � t j | fi t ��5 } |d }n5# t $ r(}t d� | � � � � |�d}~ww xY w|� � � }t |t � � s|� d� � } t t j d� |� � � � }n5# t $ r(}t d� |� � � � |�d}~ww xY w|dv r4 ||d |d |d f|d � � � cddd� � S |d k r- ||d |d f|d � � � cddd� � S |dk r5 ||d |d |d ff|d � � � cddd� � S t d� |� � � � �# 1 swxY w Y dS )a� Load a sparse matrix from a file using ``.npz`` format. Parameters ---------- file : str or file-like object Either the file name (string) or an open file (file-like object) where the data will be loaded. Returns ------- result : csc_matrix, csr_matrix, bsr_matrix, dia_matrix or coo_matrix A sparse matrix containing the loaded data. Raises ------ OSError If the input file does not exist or cannot be read. See Also -------- scipy.sparse.save_npz: Save a sparse matrix to a file using ``.npz`` format. numpy.load: Load several arrays from a ``.npz`` archive. Examples -------- Store sparse matrix to disk, and load it again: >>> import numpy as np >>> import scipy.sparse >>> sparse_matrix = scipy.sparse.csc_matrix(np.array([[0, 0, 3], [4, 0, 0]])) >>> sparse_matrix <2x3 sparse matrix of type '<class 'numpy.int64'>' with 2 stored elements in Compressed Sparse Column format> >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) >>> scipy.sparse.save_npz('/tmp/sparse_matrix.npz', sparse_matrix) >>> sparse_matrix = scipy.sparse.load_npz('/tmp/sparse_matrix.npz') >>> sparse_matrix <2x3 sparse matrix of type '<class 'numpy.int64'>' with 2 stored elements in Compressed Sparse Column format> >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) r z-The file {} does not contain a sparse matrix.Nr z {}_matrixzUnknown matrix format "{}"r r r r r )r r r r r r z7Load is not implemented for sparse matrix of format {}.)r �load� PICKLE_KWARGS�KeyError� ValueErrorr �item� isinstance�str�decode�getattr�scipy�sparse�AttributeErrorr )r �loaded� matrix_format�e�clss r r r L s� � �b ��� '� '� � '� '� [�6� b� "�8� ,�M�M��� b� b� b� � L� S� S�TX� Y� Y�Z�Z�`a� a����� b���� &�*�*�,�,� ��-��-�-� :� *� 0� 0�� 9� 9�M� X��%�,� �(:�(:�=�(I�(I�J�J�C�C�� � X� X� X� � 9� @� @� � O� O�P�P�VW� W����� X���� � 1� 1� 1��3��v���y�(9�6�(�;K�L�TZ�[b�Tc�d�d�d�'[� [� [� [� [� [� [� [�( �e� #� #��3��v���y�(9�:�&��/�R�R�R�+[� [� [� [� [� [� [� [�, �e� #� #��3��v���� ��u� �(F�G�v�V]��_�_�_�/[� [� [� [� [� [� [� [�2 &� 'D�DJ�F�=�DY�DY�[� [� [�3[� [� [� [���� [� [� [� [� [� [sg �G�#�G� A�#A�A�AG�-C�G� C7�#C2�2C7�7.G�2&G�%.G� "G�G� G)T) �numpyr � scipy.sparser, �__all__�dictr$ r r � r! r �<module>r8 ss �� � � � � � � � � �z� "�� ��%�(�(�(� �>&� >&� >&� >&�BK[� K[� K[� K[� K[r!
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