hDddlZddlZddgZedZd dZdZdS) Nsave_npzload_npzF) allow_pickleTci}|jdvr"||j|jn{|jdkr||jnT|jdkr"||j|jn'td|j||jd|j |j |rtj |fi|d Stj |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)rowcolz7Save is not implemented for sparse matrix of format {}.ascii)formatshapedataN)rupdater r rrrNotImplementedErrorencoderrnpsavez_compressedsavez)filematrix compressed arrays_dicts S/var/www/html/Sam_Eipo/venv/lib/python3.11/site-packages/scipy/sparse/_matrix_io.pyrr s0ZK }---6>&-HHHH %  6>2222 %  vzvz::::!"["b"bcicp"q"qrrr}##G,,l [ & D00K00000 %%%%%%%ctj|fit5} |d}n5#t$r(}t d||d}~wwxYw|}t|ts| d} ttj d|}n5#t$r(}t d||d}~wwxYw|dvr4||d|d |d f|d  cdddS|d kr-||d|df|d  cdddS|dkr5||d|d|dff|d  cdddStd|#1swxYwYdS)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 {} does not contain a sparse matrix.Nrz {}_matrixzUnknown matrix format "{}"rrr r r)rr rrrrz7Load is not implemented for sparse matrix of format {}.)rload PICKLE_KWARGSKeyError ValueErrorritem isinstancestrdecodegetattrscipysparseAttributeErrorr)rloaded matrix_formateclss r rrLsb  ' ' ' '[6 b"8,MM b b bLSSTXYYZZ`a a b&**,, --- :*0099M X%, (:(:=(I(IJJCC X X X9@@OOPPVW W X 1 1 13vy(96(;KLTZ[bTcddd'[[[[[[[[(e # #3vy(9:&/RRR+[[[[[[[[,e # #3vu (FGvV]___/[[[[[[[[2&'DDJF=DYDY[[ [3[[[[[[[[[[sgG#G A#AAAG-CG C7#C22C77.G2&G%.G "GG G)T) numpyr scipy.sparser,__all__dictr$rrr!r r8ss z "%((( >&>&>&>&BK[K[K[K[K[r!