9j2JSSKJr SSKrSSKrSSKJr SSKJr SSKJ r Sr g)) annotationsN)device)_util)sparsecSSKJn [R"U5(d[R"U5n[ R "U5 [ R"U5 URSnURS:wd[U5U:wa [S5eURS:XdURS:Xa URnO![R"URS5n[R "5nUR"nSnSn[$R&"X4S9n [R&"S[R(5n US:Xa UR*n O UR,n U "XSX`R.R0UR2R2R4UR6R2R4UR8R2R4UR2R4XxU R2R4U R:R25 U R=[R>5n U $) aSolves linear system with cholesky decomposition. Find the solution to a large, sparse, linear system of equations. The function solves ``Ax = b``. Given two-dimensional matrix ``A`` is decomposed into ``L * L^*``. Args: A (cupy.ndarray or cupyx.scipy.sparse.csr_matrix): The input matrix with dimension ``(N, N)``. Must be positive-definite input matrix. Only symmetric real matrix is supported currently. b (cupy.ndarray): Right-hand side vector. Returns: ret (cupy.ndarray): The solution vector ``x``. r)cusolverz+b must be 1-d array whose size is same as Afdg?)dtype) cupy_backends.cuda.libsrrisspmatrix_csr csr_matrixr_assert_stacked_square_assert_cupy_arrayshapendimlen ValueErrorr numpy promote_typesrget_cusolver_sp_handlennzcupyemptyint32 scsrlsvchol dcsrlsvchol_descr descriptordataptrindptrindicesctypesastypefloat64) Abrmr handlertolreorderx singularity csrlsvchols T/home/wildlama/miniconda3/lib/python3.13/site-packages/cupyx/linalg/sparse/_solve.pylscholr2 s"1   # #   a    # Q  Avv{c!fkFGG ww#~C##AGGS1  * * ,F %%C CG 1"A++a-K |)) )) 3++QVV[[__  199>>--qvvzz3  K&&++- A H) __future__rrr cupy.cudar cupy.linalgr cupyx.scipyrr2r3r1r9s" 5 r3