/usr/local/lib/python3.8/dist-packages/ase/atoms.py:504: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray. a = np.asarray(a) /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:677: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead e.append(np.asscalar(val)) /usr/local/lib/python3.8/dist-packages/ase/atoms.py:504: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray. a = np.asarray(a) /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:677: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead e.append(np.asscalar(val)) /usr/local/lib/python3.8/dist-packages/ase/atoms.py:504: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray. a = np.asarray(a) /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:596: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead nth[n], np.asscalar(val), yesno[is_continuous] /work/07753/dskarls/stampede2/jobs/dskarls/job-1cd64716-22c0-4ba0-86aa-a6a4564472fc-007-60e12c9b-4dbd-4fa1-96bd-f64fd9508779/VC_303890932454_004-and-MO_612061685362_004-1639593051/staged_job_files/repository/vc/DimerContinuityC1__VC_303890932454_004/runner:677: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead e.append(np.asscalar(val)) {"realtime":53.71,"usertime":54.71,"systime":21.02,"memmax":82296,"memavg":0}