/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)
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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)
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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)
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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]
/work2/08773/bwaters/stampede2/bwaters/job-f800d338-e91e-4e0f-bb92-68686ac43623-007-d8a844c6-babf-43a6-bd32-778dccd6fe01/VC_303890932454_004-and-MO_444207127575_000-1659738236/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":45.77,"usertime":45.96,"systime":17.57,"memmax":96984,"memavg":0}