\ciaDddlZddlZddgZedZd dZdZdS) Nsave_npzload_npzF) allow_pickleTci}|jdvr"||j|jn|jdkr||jnn|jdkrI|jdkr"||j|jn6||jnd |jd }t|||j d |j |j t|tjjr|d |rt#j|fi|dSt#j|fi|dS)aj Save a sparse matrix or array 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 or sparray The sparse matrix or array to save. Supported formats: ``csc``, ``csr``, ``bsr``, ``dia`` or ``coo``. 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 as sp >>> sparse_matrix = sp.sparse.csc_matrix([[0, 0, 3], [4, 0, 0]]) >>> sparse_matrix >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) >>> sp.sparse.save_npz('/tmp/sparse_matrix.npz', sparse_matrix) >>> sparse_matrix = sp.sparse.load_npz('/tmp/sparse_matrix.npz') >>> sparse_matrix >>> sparse_matrix.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) csccsrbsr)indicesindptrdia)offsetscoo)rowcol)coordsz4Save is not implemented for sparse matrix of format .ascii)formatshapedataT) _is_arrayN)rupdater r rndimrrrNotImplementedErrorencoderr isinstancespsparsesparraynpsavez_compressedsavez)filematrix compressed arrays_dictmsgs g/var/www/html/mdtn/previsions/meteo_cartes/venv/lib/python3.11/site-packages/scipy/sparse/_matrix_io.pyrr s\K }---6>&-HHHH %  6>2222 %   ;!     6:6:  > > > >   fm  4 4 4 4UV]UUU!#&&&}##G,,l [ &")+,,+T***& D00K00000 %%%%%%%ctj|fit5}|d}|t d|d|}t |ts|d}|dr|dz}n|dz} ttj |}n&#t$r}t d |d |d}~wwxYw|d vr4||d |d |df|dcdddS|dkr-||d |df|dcdddS|dkrfd|vr-||d |df|dcdddS||d |d|dff|dcdddStd|d#1swxYwYdS)a Load a sparse array/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_array, csr_array, bsr_array, dia_array or coo_array A sparse array/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 array/matrix to a file using ``.npz`` format. numpy.load: Load several arrays from a ``.npz`` archive. Examples -------- Store sparse array/matrix to disk, and load it again: >>> import numpy as np >>> import scipy as sp >>> sparse_array = sp.sparse.csc_array([[0, 0, 3], [4, 0, 0]]) >>> sparse_array >>> sparse_array.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) >>> sp.sparse.save_npz('/tmp/sparse_array.npz', sparse_array) >>> sparse_array = sp.sparse.load_npz('/tmp/sparse_array.npz') >>> sparse_array >>> sparse_array.toarray() array([[0, 0, 3], [4, 0, 0]], dtype=int64) In this example we force the result to be csr_array from csr_matrix >>> sparse_matrix = sp.sparse.csc_matrix([[0, 0, 3], [4, 0, 0]]) >>> sp.sparse.save_npz('/tmp/sparse_matrix.npz', sparse_matrix) >>> tmp = sp.sparse.load_npz('/tmp/sparse_matrix.npz') >>> sparse_array = sp.sparse.csr_array(tmp) rNz The file z+ does not contain a sparse array or matrix.rr_array_matrixzUnknown format ""rrr r r)rr rrrrrz4Load is not implemented for sparse matrix of format r)r"load PICKLE_KWARGSget ValueErroritemrstrdecodegetattrrr AttributeErrorr)r%loaded sparse_format sparse_typeclses r*rrTs3l  ' ' ' '"S6 8,,  ::::;; ;%**,, --- :*0099M ::k " " 4'(2KK')3K G") %566CC G G G> >>>??Q F G 1 1 13vy(96(;KL#G_.../"S"S"S"S"S"S"S"S2e # #3vy(9:&/RRR5"S"S"S"S"S"S"S"S6e # #6!!sF6NF8,<=VG_UUU;"S"S"S"S"S"S"S"S<3vu (FG#G_...="S"S"S"S"S"S"S"SB&'RAN'R'R'RSS SC"S"S"S"S"S"S"S"S"S"SsNB G"B>=G> C!CC!!.G&G*G(G;GGG)T) numpyr"scipyr__all__dictr1rrr+r*rCsw z "%((( F&F&F&F&RXSXSXSXSXSr+