/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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/bwaters/job-ac970c30-7934-4486-b643-dfbabf4c1d64-007-d3f3f9d9-e4cd-4a55-ba1c-46fa06fe8b4f/VC_303890932454_004-and-MO_328263916986_000-1659735041/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":14.15,"usertime":11.87,"systime":1.39,"memmax":61600,"memavg":0}