Cpj"SS5rg)c&^\rSrSr%SrSr\\S4\S'\ S5r \ S5r \ S5r \ S 5r \ S 5r\ S 5r\ S 5rS rSrSrSrSr\ "\\SS9rSrSrSrSSjrSrSrSrSU4Sjjr\S5r Sr!U=r"$) spmatrixavThis class provides a base class for all sparse matrix classes. .. warning:: SciPy sparse is shifting from a sparse matrix interface to a sparse array interface. In the next few releases we expect to deprecate the sparse matrix interface. For documentation of the matrix interface, see the :ref:`spmatrix interface docs `. For guidance on converting existing code to sparse arrays, see :ref:`Migration from spmatrix to sparray `. This class also serves as the namespace for SciPy sparse matrix types. It cannot be instantiated. Most of the work is provided by subclasses. ). _allow_ndcSSKJn U$)Nr) bsr_matrix)_bsrr)selfrs P/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/scipy/sparse/_matrix.py_bsr_containerspmatrix._bsr_container $cSSKJn U$)Nr) coo_matrix)_coor)r rs r _coo_containerspmatrix._coo_containerrrcSSKJn U$)Nr) csc_matrix)_cscr)r rs r _csc_containerspmatrix._csc_containerrrcSSKJn U$)Nr) csr_matrix)_csrr)r rs r _csr_containerspmatrix._csr_container!rrcSSKJn U$)Nr) dia_matrix)_diar )r r s r _dia_containerspmatrix._dia_container&rrcSSKJn U$)Nr) dok_matrix)_dokr%)r r%s r _dok_containerspmatrix._dok_container+rrcSSKJn U$)Nr) lil_matrix)_lilr*)r r*s r _lil_containerspmatrix._lil_container0rrc$URU5$N)_matmul_dispatchr others r __mul__spmatrix.__mul__6s$$U++rc$URU5$r/)_rmatmul_dispatchr1s r __rmul__spmatrix.__rmul__9s%%e,,rcSSKJn U"X5$)Nr) matrix_power)linalgr:)r powerr:s r __pow__spmatrix.__pow__=s(D((rcxURUSS9RUR5nURUlg)z$Set the shape of the matrix in-placeF)copyN)reshapeasformatformat__dict__)r shapenew_selfs r set_shapespmatrix.set_shapeDs2<<E<2;;DKKH )) rcUR$)zGet the shape of the matrix)_shaper s r get_shapespmatrix.get_shapeK {{rzShape of the matrix)fgetfsetdocc"UR5$)z7Upcast matrix to a floating point format (if necessary)) _asfptyperKs r asfptypespmatrix.asfptypeRs~~rc"UR5$)z3Maximum number of elements to display when printed.) _getmaxprintrKs r getmaxprintspmatrix.getmaxprintVs  ""rcUR$)zMatrix storage format)rCrKs r getformatspmatrix.getformatZrNrc URUS9$)zNumber of stored values, including explicit zeros. Parameters ---------- axis : None, 0, or 1 Select between the number of values across the whole array, in each column, or in each row. )axis)_getnnz)r r^s r getnnzspmatrix.getnnz^s|||&&rc>UR5R5$)zReturn the Hermitian transpose of this matrix. See Also -------- numpy.matrix.getH : NumPy's implementation of `getH` for matrices ) conjugate transposerKs r getH spmatrix.getHis~~))++rc$URU5$)zWReturns a copy of column j of the matrix, as an (m x 1) sparse matrix (column vector). )_getcol)r js r getcolspmatrix.getcolr||Arc$URU5$)zPReturns a copy of row i of the matrix, as a (1 x n) sparse matrix (row vector). )_getrow)r is r getrowspmatrix.getrowxrlrc">[TU]X5$)a Return a dense representation of this sparse matrix. Parameters ---------- order : {'C', 'F'}, optional Whether to store multi-dimensional data in C (row-major) or Fortran (column-major) order in memory. The default is 'None', which provides no ordering guarantees. Cannot be specified in conjunction with the `out` argument. out : ndarray, 2-D, optional If specified, uses this array (or `numpy.matrix`) as the output buffer instead of allocating a new array to return. The provided array must have the same shape and dtype as the sparse matrix on which you are calling the method. Returns ------- arr : numpy.matrix, 2-D A NumPy matrix object with the same shape and containing the same data represented by the sparse matrix, with the requested memory order. If `out` was passed and was an array (rather than a `numpy.matrix`), it will be filled with the appropriate values and returned wrapped in a `numpy.matrix` object that shares the same memory. )supertodense)r orderout __class__s r rtspmatrix.todense~s<wu**rcSSKJn U"X5$)aU Return a parametrized wrapper around the `~scipy.sparse.spmatrix` type. .. versionadded:: 1.16.0 Returns ------- alias : types.GenericAlias A parametrized `~scipy.sparse.spmatrix` type. Examples -------- >>> import numpy as np >>> from scipy.sparse import coo_matrix >>> coo_matrix[np.int8] scipy.sparse._coo.coo_matrix[numpy.int8] ) GenericAlias)typesr{)clsargr{s r __class_getitem__spmatrix.__class_getitem__s( 'C%%r)rDr/)NN)#__name__ __module__ __qualname____firstlineno____doc__rtupleint__annotations__propertyr rrrr"r'r,r3r7r=rGrLrErTrXr[r`rerjrprt classmethodr__static_attributes__ __classcell__)rws@r rrs "&IuS#X%  ,-)* )). 0E # ',  +@&&rrN)rrr rsr&r&r