o h@s8ddlZddlZddgZeddZd ddZddZdS) Nsave_npzload_npzF) allow_pickleTcCsi}|jdvr|j|j|jdn%|jdkr|j|jdn|jdkr-|j|j|jdn td|jd|j|jd |j |j d |rQt j |fi|d St 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 '' 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 '' with 2 stored elements in Compressed Sparse Column format> >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) csccsrbsr)indicesindptrdia)offsetscoo)rowcolz4Save is not implemented for sparse matrix of format .ascii)formatshapedataN)rupdater r r rrNotImplementedErrorencoderrnpsavez_compressedsavez)filematrix compressed arrays_dictrR/var/www/html/scripts/venv/lib/python3.10/site-packages/scipy/sparse/_matrix_io.pyr s -    c Csptj|fit}z|d}Wnty%}z td|d|d}~ww|}t|ts4|d}z t t j |d}Wnt yT}z td|d|d}~ww|d vrq||d |d |d f|d dWdS|dkr||d |df|d dWdS|dkr||d |d|dff|d dWdSt d|1swYdS)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 '' 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 '' with 2 stored elements in Compressed Sparse Column format> >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) rz The file z" does not contain a sparse matrix.Nr_matrixzUnknown matrix format ""rrr r r)rr r r rrz7Load is not implemented for sparse matrix of format {}.)rload PICKLE_KWARGSKeyError ValueErroritem isinstancestrdecodegetattrscipysparseAttributeErrorrr)rloaded matrix_formateclsrrr rLs:1    ")T) numpyr scipy.sparser,__all__dictr$rrrrrr s    A