0%| | 0/75 [00:00 commandLine() File "Transient.py", line 27, in commandLine iterativeTransient(flagFirstRun, num1, num2) File "Transient.py", line 227, in iterativeTransient C_new = ml.solve(temp_RHS, tol=1e-6, x0=C_old) File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 502, in solve self.__solve(0, x, b, cycle) File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 556, in __solve self.__solve(lvl + 1, coarse_x, coarse_b, 'V') File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 556, in __solve self.__solve(lvl + 1, coarse_x, coarse_b, 'V') File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 556, in __solve self.__solve(lvl + 1, coarse_x, coarse_b, 'V') [Previous line repeated 5 more times] File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 553, in __solve coarse_x[:] = self.coarse_solver(self.levels[-1].A, coarse_b) File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 741, in __call__ x = solve(self, A, b) File "/home/dlathouwers/.local/lib/python3.8/site-packages/pyamg/multilevel.py", line 656, in solve self.P = pinv(A.toarray(), **kwargs) File "/apps/arch/2022r2/software/linux-rhel8-skylake_avx512/gcc-8.5.0/py-scipy-1.5.2-fbvrlx7uvwzqppqn5pp2iyuvcgv6o7in/lib/python3.8/site-packages/scipy/linalg/basic.py", line 1372, in pinv2 u, s, vh = decomp_svd.svd(a, full_matrices=False, check_finite=False) File "/apps/arch/2022r2/software/linux-rhel8-skylake_avx512/gcc-8.5.0/py-scipy-1.5.2-fbvrlx7uvwzqppqn5pp2iyuvcgv6o7in/lib/python3.8/site-packages/scipy/linalg/decomp_svd.py", line 121, in svd lwork = _compute_lwork(gesXd_lwork, a1.shape[0], a1.shape[1], File "/apps/arch/2022r2/software/linux-rhel8-skylake_avx512/gcc-8.5.0/py-scipy-1.5.2-fbvrlx7uvwzqppqn5pp2iyuvcgv6o7in/lib/python3.8/site-packages/scipy/linalg/lapack.py", line 956, in _compute_lwork return _check_work_float(ret[0].real, dtype) File "/apps/arch/2022r2/software/linux-rhel8-skylake_avx512/gcc-8.5.0/py-scipy-1.5.2-fbvrlx7uvwzqppqn5pp2iyuvcgv6o7in/lib/python3.8/site-packages/scipy/linalg/lapack.py", line 974, in _check_work_float raise ValueError("Too large work array required -- computation cannot " ValueError: Too large work array required -- computation cannot be performed with standard 32-bit LAPACK.