§ _ùMhKãó —Gd„d¦«ZdS)có(‡—eZdZdZdZed„¦«Zed„¦«Zed„¦«Zed„¦«Z ed„¦«Z ed„¦«Z ed „¦«Z d „Z d „Zd „Zd „Zd„Zeeed¬¦«Zd„Zd„Zd„Zdd„Zd„Zd„Zd„Zdˆfd„ ZˆxZS)Úspmatrixz‘This class provides a base class for all sparse matrix classes. It cannot be instantiated. Most of the work is provided by subclasses. )écó—ddlm}|S)Né)Ú bsr_matrix)Ú_bsrr)Úselfrs úT/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/scipy/sparse/_matrix.pyÚ_bsr_containerzspmatrix._bsr_containeró€à$Ð$Ð$Ð$Ð$Ð$ØÐócó—ddlm}|S)Nr)Ú coo_matrix)Ú_coor)r rs r Ú_coo_containerzspmatrix._coo_container r r có—ddlm}|S)Nr)Ú csc_matrix)Ú_cscr)r rs r Ú_csc_containerzspmatrix._csc_containerr r có—ddlm}|S)Nr)Ú csr_matrix)Ú_csrr)r rs r Ú_csr_containerzspmatrix._csr_containerr r có—ddlm}|S)Nr)Ú dia_matrix)Ú_diar)r rs r Ú_dia_containerzspmatrix._dia_containerr r có—ddlm}|S)Nr)Ú dok_matrix)Ú_dokr)r rs r Ú_dok_containerzspmatrix._dok_container!r r có—ddlm}|S)Nr)Ú lil_matrix)Ú_lilr#)r r#s r Ú_lil_containerzspmatrix._lil_container&r r có,—| |¦«S©N)Ú_matmul_dispatch©r Úothers r Ú__mul__zspmatrix.__mul__,s€Ø×$Ò$ UÑ+Ô+Ð+r có,—| |¦«Sr')Ú_rmatmul_dispatchr)s r Ú__rmul__zspmatrix.__rmul__/s€Ø×%Ò% eÑ,Ô,Ð,r có&—ddlm}|||¦«S)Nr)Ú matrix_power)Úlinalgr0)r Úpowerr0s r Ú__pow__zspmatrix.__pow__3s&€Ø(Ð(Ð(Ð(Ð(Ð(àˆ|˜D %Ñ(Ô(Ð(r có|—| |d¬¦« |j¦«}|j|_dS)z$Set the shape of the matrix in-placeF)ÚcopyN)ÚreshapeÚasformatÚformatÚ__dict__)r ÚshapeÚnew_selfs r Ú set_shapezspmatrix.set_shape:s7€ð—<’< ¨E<Ñ2Ô2×;Ò;¸D¼KÑHÔHˆØ Ô)ˆŒ ˆ ˆ r có—|jS)zGet the shape of the matrix)Ú_shape©r s r Ú get_shapezspmatrix.get_shapeAó €àŒ{Ðr zShape of the matrix)ÚfgetÚfsetÚdoccó*—| ¦«S)z7Upcast matrix to a floating point format (if necessary))Ú _asfptyper?s r Úasfptypezspmatrix.asfptypeHs€à~Š~ÑÔÐr có*—| ¦«S)z3Maximum number of elements to display when printed.)Ú _getmaxprintr?s r Ú getmaxprintzspmatrix.getmaxprintLs€à× Ò Ñ"Ô"Ð"r có—|jS)zMatrix storage format)r8r?s r Ú getformatzspmatrix.getformatPrAr Ncó.—| |¬¦«S)zóNumber 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. )Úaxis)Ú_getnnz)r rNs r Úgetnnzzspmatrix.getnnzTs€ð|Š| ˆ|Ñ&Ô&Ð&r cóN—| ¦« ¦«S)z¤Return the Hermitian transpose of this matrix. See Also -------- numpy.matrix.getH : NumPy's implementation of `getH` for matrices )Ú conjugateÚ transposer?s r ÚgetHz spmatrix.getH_s €ð~Š~ÑÔ×)Ò)Ñ+Ô+Ð+r có,—| |¦«S)zgReturns a copy of column j of the matrix, as an (m x 1) sparse matrix (column vector). )Ú_getcol)r Újs r Úgetcolzspmatrix.getcolhó€ð|Š|˜A‰ŒÐr có,—| |¦«S)z`Returns a copy of row i of the matrix, as a (1 x n) sparse matrix (row vector). )Ú_getrow)r Úis r Úgetrowzspmatrix.getrownrYr cóH•—t¦« ||¦«S)aÅ 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. )ÚsuperÚtodense)r ÚorderÚoutÚ __class__s €r r`zspmatrix.todensetsø€õ<‰wŒwŠ˜u cÑ*Ô*Ð*r r')NN)Ú__name__Ú __module__Ú __qualname__Ú__doc__Ú _allow_ndÚpropertyr rrrrr!r%r+r.r3r<r@r:rGrJrLrPrTrXr]r`Ú __classcell__)rcs@r rrsáø€€€€€ððð€Ià ððñ„Xððððñ„Xððððñ„Xððððñ„Xððððñ„Xððððñ„Xððððñ„Xðð ,ð,ð,ð-ð-ð-ð)ð)ð)ð*ð*ð*ðððð ˆH˜)¨)Ø.ð 0ñ 0ô 0€Eð ð ð ð#ð#ð#ðððð 'ð 'ð 'ð 'ð,ð,ð,ðððð ððð +ð+ð+ð+ð+ð+ð+ð+ð+ð+r rN)r©r r úrlsAððQ+ðQ+ðQ+ðQ+ðQ+ñQ+ôQ+ðQ+ðQ+ðQ+r