/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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-149a3f8c-1128-4cf2-a54e-0220f6c976b8-007-de81fdc4-8090-41e3-97d3-97665a59d91c/VC_303890932454_004-and-MO_329881861557_001-1653082937/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":588.60,"usertime":592.59,"systime":19.90,"memmax":123268,"memavg":0}