2344e4105a44fa929aa6fb82597c2ac81bef5171,scipy/sparse/linalg/dsolve/linsolve.py,,spsolve,#Any#Any#Any#Any#,45

Before Change

            // Dense b
            Afactsolve = factorized(A)
            x = empty(b.shape, dtype=A.dtype)
            for j in range(b.shape[1]):
                x[:,j] = Afactsolve(b[:,j])

    return x


def splu(A, permc_spec=None, diag_pivot_thresh=None,

After Change

        x = umf.linsolve(umfpack.UMFPACK_A, A, b_vec,
                         autoTranspose=True)
    else:
        if b_is_vector and b_is_sparse:
            b = b.toarray()
            b_is_sparse = False


        if isspmatrix_csc(A):
            flag = 1  // CSC format
        else:
            flag = 0  // CSR format

Instances