/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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-ab2efc32-ffff-4356-b18b-b190d1949ac7-007-f790e14a-a2ad-4402-9f44-6435b051e585/VC_303890932454_004-and-MO_179158257180_001-1645153058/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":213.56,"usertime":211.58,"systime":1.36,"memmax":113460,"memavg":0}