should_give_NOT_OK = NOT OK
fixed_r = OK
fixed_c = OK
pt_r(fixed_r) = OK
pt_c(fixed_c) = OK
pt_r(fixed_c) = OK
pt_c(fixed_r) = OK
dense_r = OK
dense_c = OK
pt_r(dense_r) = OK
pt_c(dense_c) = OK
pt_r(dense_c) = OK
pt_c(dense_r) = OK
sparse_r = OK
sparse_c = OK
pt_r(sparse_r) = OK
pt_c(sparse_c) = OK
pt_r(sparse_c) = OK
pt_c(sparse_r) = OK
double_row(first_row) = OK
double_col(first_row) = OK
double_row(first_col) = OK
double_col(first_col) = OK
double_mat_cm(0) = OK
double_mat_rm(0) = OK
double_mat_cm(1) = OK
double_mat_rm(1) = OK
double_mat_cm(2) = OK
double_mat_rm(2) = OK
cholesky1 OK
cholesky2 OK
cholesky3 OK
cholesky4 OK
cholesky5 OK
cholesky6 OK
diagonal() OK
diagonal_1() OK
diagonal_n(-5) OK
diagonal_n(-4) OK
diagonal_n(-3) OK
diagonal_n(-2) OK
diagonal_n(-1) OK
diagonal_n(0) OK
diagonal_n(1) OK
diagonal_n(2) OK
diagonal_n(3) OK
diagonal_n(4) OK
diagonal_n(5) OK
diagonal_n(6) OK
block(2,1,3,3) OK
block(1,4,4,2) OK
block(1,4,3,2) OK
incr_diag OK
symmetric_lower OK
symmetric_upper OK
double_col(arg0: numpy.ndarray[float32[m, 1]]) -> numpy.ndarray[float32[m, 1]]
double_row(arg0: numpy.ndarray[float32[1, n]]) -> numpy.ndarray[float32[1, n]]
double_mat_rm(arg0: numpy.ndarray[float32[m, n]]) -> numpy.ndarray[float32[m, n]]
sparse_passthrough_r(arg0: scipy.sparse.csr_matrix[float32]) -> scipy.sparse.csr_matrix[float32]
sparse_passthrough_c(arg0: scipy.sparse.csc_matrix[float32]) -> scipy.sparse.csc_matrix[float32]