o iK@sGdddZdS)cseZdZdZdZeddZeddZeddZed d Z ed d Z ed dZ eddZ ddZ ddZddZddZddZeeeddZddZdd Zd!d"Zd.d$d%Zd&d'Zd(d)Zd*d+Zd/fd,d- ZZS)0spmatrixzThis class provides a base class for all sparse matrix classes. It cannot be instantiated. Most of the work is provided by subclasses. )cCddlm}|S)N) bsr_matrix)Z_bsrr)selfrrN/home/kim/smarthome/.venv/lib/python3.10/site-packages/scipy/sparse/_matrix.py_bsr_container zspmatrix._bsr_containercCr)Nr) coo_matrix)Z_coor )rr rrr_coo_container r zspmatrix._coo_containercCr)Nr) csc_matrix)Z_cscr )rr rrr_csc_containerr zspmatrix._csc_containercCr)Nr) csr_matrix)Z_csrr)rrrrr_csr_containerr zspmatrix._csr_containercCr)Nr) dia_matrix)Z_diar)rrrrr_dia_containerr zspmatrix._dia_containercCr)Nr) dok_matrix)Z_dokr)rrrrr_dok_container!r zspmatrix._dok_containercCr)Nr) lil_matrix)Z_lilr)rrrrr_lil_container&r zspmatrix._lil_containercC ||SN)Z_matmul_dispatchrotherrrr__mul__, zspmatrix.__mul__cCrr)Z_rmatmul_dispatchrrrr__rmul__/rzspmatrix.__rmul__cCsddlm}|||S)Nr) matrix_power)Zlinalgr)rpowerrrrr__pow__3s  zspmatrix.__pow__cCs"|j|dd|j}|j|_dS)z$Set the shape of the matrix in-placeF)copyN)ZreshapeZasformatformat__dict__)rshapeZnew_selfrrr set_shape:s zspmatrix.set_shapecC|jS)zGet the shape of the matrix)_shaperrrr get_shapeAzspmatrix.get_shapezShape of the matrix)fgetfsetdoccC|S)z7Upcast matrix to a floating point format (if necessary))Z _asfptyper(rrrasfptypeHzspmatrix.asfptypecCr.)z3Maximum number of elements to display when printed.)Z _getmaxprintr(rrr getmaxprintLr0zspmatrix.getmaxprintcCr&)zMatrix storage format)r"r(rrr getformatPr*zspmatrix.getformatNcCs |j|dS)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)Z_getnnz)rr3rrrgetnnzTs zspmatrix.getnnzcCs |S)zReturn the Hermitian transpose of this matrix. See Also -------- numpy.matrix.getH : NumPy's implementation of `getH` for matrices ) conjugateZ transposer(rrrgetH_s z spmatrix.getHcCr)zgReturns a copy of column j of the matrix, as an (m x 1) sparse matrix (column vector). )Z_getcol)rjrrrgetcolh zspmatrix.getcolcCr)z`Returns a copy of row i of the matrix, as a (1 x n) sparse matrix (row vector). )Z_getrow)rirrrgetrownr9zspmatrix.getrowcst||S)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)rorderout __class__rrr=tszspmatrix.todenser)NN)__name__ __module__ __qualname____doc__Z _allow_ndpropertyr r rrrrrrrr r%r)r$r/r1r2r4r6r8r;r= __classcell__rrr@rrsB          rN)rrrrrs