/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) /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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) /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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) /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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] /scratch.hyperion/kim-jobs/jobs/dskarls/job-94db3073-b1fb-40ca-8601-965c24815530-007-34610555-29d9-4efc-9458-4818db5a2ffe/VC_303890932454_004-and-MO_500121566391_004-1638748938/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":10.13,"usertime":8.67,"systime":1.14,"memmax":59712,"memavg":0}