B 0d@s8ddlZddlZddgZeddZd ddZddZdS) Nsave_npzload_npzF)Z allow_pickleTcCsi}|jdkr"|j|j|jdnH|jdkr<|j|jdn.|jdkrZ|j|j|jdntd|j|j|jd|j |j d |rt j |f|nt j |f|d S) aL 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 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.todense() matrix([[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.todense() matrix([[0, 0, 3], [4, 0, 0]], dtype=int64) )csccsrbsr)indicesindptrdia)offsetscoo)rowcolz7Save is not implemented for sparse matrix of format {}.ascii)formatshapedataN)rupdaterrr r r NotImplementedErrorencoderrnpZsavez_compressedZsavez)filematrix compressedZ arrays_dictrI/var/www/html/venv/lib/python3.7/site-packages/scipy/sparse/_matrix_io.pyr s,     c CsRtj|ft8}y |d}Wn2tk rP}ztd||Wdd}~XYnX|}t|tsn| d}yt t j d|}Wn2t k r}ztd||Wdd}~XYnX|dkr||d|d |d f|d d S|d kr||d|df|d d S|dkr6||d|d|dff|d d Std|WdQRXdS)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 ------ IOError 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 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.todense() matrix([[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.todense() matrix([[0, 0, 3], [4, 0, 0]], dtype=int64) rz-The file {} does not contain a sparse matrix.Nrz {}_matrixzUnknown matrix format "{}")rrrrrrr)rr r r r r z7Load is not implemented for sparse matrix of format {}.)rload PICKLE_KWARGSKeyError ValueErrorritem isinstancestrdecodegetattrscipysparseAttributeErrorr)rZloadedZ matrix_formateclsrrrrKs(0 "  ""  $)T) numpyrZ scipy.sparser$__all__dictrrrrrrrs   @