diff --git a/jobflow_qe.ipynb b/jobflow_qe.ipynb
index 89c0f03..ddcbd5f 100644
--- a/jobflow_qe.ipynb
+++ b/jobflow_qe.ipynb
@@ -1 +1,1594 @@
-{"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.8"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Quantum Espresso Energy Volume Curve Workflow with jobflow","metadata":{}},{"cell_type":"markdown","source":"## Define workflow with jobflow","metadata":{}},{"cell_type":"code","source":"import numpy as np","metadata":{"trusted":false},"outputs":[],"execution_count":1},{"cell_type":"code","source":"from jobflow import job, Flow","metadata":{"trusted":false},"outputs":[{"name":"stderr","output_type":"stream","text":"/home/geiger_j/.aiida_venvs/adis/lib/python3.10/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from this module in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/home/geiger_j/.aiida_venvs/adis/lib/python3.10/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from this module in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"}],"execution_count":2},{"cell_type":"code","source":"from python_workflow_definition.jobflow import write_workflow_json","metadata":{"trusted":false},"outputs":[],"execution_count":4},{"cell_type":"code","source":"from quantum_espresso_workflow import (\n    calculate_qe as _calculate_qe, \n    generate_structures as _generate_structures, \n    get_bulk_structure as _get_bulk_structure, \n    plot_energy_volume_curve as _plot_energy_volume_curve,\n)","metadata":{"trusted":false},"outputs":[],"execution_count":6},{"cell_type":"code","source":"workflow_json_filename = \"jobflow_qe.json\"","metadata":{"trusted":false},"outputs":[],"execution_count":7},{"cell_type":"code","source":"calculate_qe = job(_calculate_qe, data=[\"energy\", \"volume\", \"structure\"])\ngenerate_structures = job(_generate_structures, data=[f\"s_{i}\" for i in range(100)])\nplot_energy_volume_curve = job(_plot_energy_volume_curve)\nget_bulk_structure = job(_get_bulk_structure)","metadata":{"trusted":false},"outputs":[],"execution_count":8},{"cell_type":"code","source":"pseudopotentials = {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}","metadata":{"trusted":false},"outputs":[],"execution_count":9},{"cell_type":"code","source":"structure = get_bulk_structure(\n    element=\"Al\",\n    a=4.05,\n    cubic=True,\n)","metadata":{"trusted":false},"outputs":[],"execution_count":10},{"cell_type":"code","source":"calc_mini = calculate_qe(\n    working_directory=\"mini\",\n    input_dict={\n        \"structure\": structure.output,\n        \"pseudopotentials\": pseudopotentials,\n        \"kpts\": (3, 3, 3),\n        \"calculation\": \"vc-relax\",\n        \"smearing\": 0.02,\n    },\n)","metadata":{"trusted":false},"outputs":[],"execution_count":11},{"cell_type":"code","source":"number_of_strains = 5\nstructure_lst = generate_structures(\n    structure=calc_mini.output.structure,\n    strain_lst=np.linspace(0.9, 1.1, number_of_strains),\n)","metadata":{"trusted":false},"outputs":[],"execution_count":12},{"cell_type":"code","source":"job_strain_lst = []\nfor i in range(number_of_strains):\n    calc_strain = calculate_qe(\n        working_directory=\"strain_\" + str(i),\n        input_dict={\n            \"structure\": getattr(structure_lst.output, f\"s_{i}\"),\n            \"pseudopotentials\": pseudopotentials,\n            \"kpts\": (3, 3, 3),\n            \"calculation\": \"scf\",\n            \"smearing\": 0.02,\n        },\n    )\n    job_strain_lst.append(calc_strain)","metadata":{"trusted":false},"outputs":[],"execution_count":13},{"cell_type":"code","source":"plot = plot_energy_volume_curve(\n    volume_lst=[job.output.volume for job in job_strain_lst],\n    energy_lst=[job.output.energy for job in job_strain_lst],\n)","metadata":{"trusted":false},"outputs":[],"execution_count":14},{"cell_type":"code","source":"flow = Flow([structure, calc_mini, structure_lst] + job_strain_lst + [plot])","metadata":{"trusted":false},"outputs":[],"execution_count":15},{"cell_type":"code","source":"write_workflow_json(flow=flow, file_name=workflow_json_filename)","metadata":{"trusted":false},"outputs":[],"execution_count":16},{"cell_type":"code","source":"!cat {workflow_json_filename}","metadata":{"trusted":false},"outputs":[{"name":"stdout","output_type":"stream","text":"\u001b[38;5;238m───────┬────────────────────────────────────────────────────────────────────────\u001b[0m\n       \u001b[38;5;238m│ \u001b[0mFile: \u001b[1mjobflow_to_aiida_qe.json\u001b[0m\n\u001b[38;5;238m───────┼────────────────────────────────────────────────────────────────────────\u001b[0m\n\u001b[38;5;238m   1\u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mnodes\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m0\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mquantum_espresso_workflow.get_bulk_structure\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m1\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mq\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m 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\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m25\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpython_workflow_definition.shared.get_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m26\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstrain_3\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m27\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpython_workflow_definition.shared.get_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m28\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstrain_4\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m29\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpython_workflow_definition.shared.get_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m30\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpython_workflow_definition.shared.get_list\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208m31\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpython_workf\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mlow_definition.shared.get_list\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208medges\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m[\u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m0\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186melement\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m9\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m0\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186ma\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m10\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m0\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m 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\u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m13\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpseudopotentials\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m \u001b[0m\u001b[38;5;141m14\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m13\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mkpts\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msou\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mrce\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m15\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m13\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mcalcul\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mation\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m16\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m13\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHand\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186msmearing\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m17\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m1\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mta\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mrgetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186minput_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m13\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarge\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mt\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstructure\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m1\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstruc\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mture\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstrain_lst\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m18\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msour\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m3\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mworking_directory\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208ms\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m19\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m20\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstru\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mcture\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186ms_0\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m20\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHand\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpseudopotentials\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m14\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m20\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mkpts\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m15\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mta\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mrget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m20\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mcalculation\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m21\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m20\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186msmearing\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m17\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourc\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208meHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m3\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186minput_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;141m20\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m4\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mworking_direc\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mtory\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m22\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m23\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandl\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208me\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstructure\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186ms_1\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m23\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mt\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208margetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpseudopotentials\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m14\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m23\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mkpts\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m15\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnu\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;141mll\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m23\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mcalculation\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m21\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourc\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208meHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m23\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186msmearing\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m1\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;141m7\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m4\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186minput_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m23\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m5\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mwork\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186ming_directory\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m24\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m25\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mta\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mrgetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstructure\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186ms_2\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m25\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpseudopotentials\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m14\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m25\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mkpts\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m15\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHa\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mndle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m25\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mcalculation\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;141m1\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m25\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186msmearing\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208ms\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m17\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m5\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186minput\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186m_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m25\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m6\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandl\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208me\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mworking_directory\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m26\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m27\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstructure\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186ms_3\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m27\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpseudopotentials\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m14\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msour\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m27\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mkpts\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m15\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m27\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mcalculation\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208ms\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m21\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m27\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186msmea\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mring\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m17\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m6\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186minput_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m27\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m7\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mta\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mrgetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mworking_directory\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m28\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m29\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mstructure\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m2\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186ms_4\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m29\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mpseudopotentials\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;141m14\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m29\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mkpts\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msour\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mce\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m15\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m29\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mcalcula\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mtion\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m21\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m29\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandl\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208me\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186msmearing\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m17\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m7\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtar\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mgetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186minput_dict\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m29\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m30\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m0\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m3\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mvolume\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mt\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208marget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m30\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m1\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m4\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mvolume\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m30\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m2\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m5\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mvol\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;186mume\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m30\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m3\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m6\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mvolume\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m30\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m4\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m7\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHan\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mdle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mvolume\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m8\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186mvolume_lst\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;141m30\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m31\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m0\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m:\u001b[0m\u001b[38;5;231m 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\u001b[38;5;238m│\u001b[0m \u001b[38;5;208murce\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m4\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186menergy\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m31\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m2\u001b[0m\u001b[38;5;186m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m5\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186menergy\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m31\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m3\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m6\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186menergy\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m31\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtargetHa\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208mndle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186m4\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m7\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186menergy\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;231m{\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarget\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m8\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208mtarg\u001b[0m\n\u001b[38;5;238m    \u001b[0m   \u001b[38;5;238m│\u001b[0m \u001b[38;5;208metHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;186menergy_lst\u001b[0m\u001b[38;5;186m\"\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msource\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141m31\u001b[0m\u001b[38;5;231m,\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;208msourceHandle\u001b[0m\u001b[38;5;208m\"\u001b[0m\u001b[38;5;231m:\u001b[0m\u001b[38;5;231m \u001b[0m\u001b[38;5;141mnull\u001b[0m\u001b[38;5;231m}\u001b[0m\u001b[38;5;231m]\u001b[0m\u001b[38;5;231m}\u001b[0m\n\u001b[38;5;238m───────┴────────────────────────────────────────────────────────────────────────\u001b[0m\n"}],"execution_count":17},{"cell_type":"markdown","source":"## Load Workflow with aiida","metadata":{}},{"cell_type":"code","source":"from aiida import load_profile\n\nload_profile()","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from python_workflow_definition.aiida import load_workflow_json","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"wg = load_workflow_json(workflow_json_filename)","metadata":{"trusted":false},"outputs":[],"execution_count":18},{"cell_type":"code","source":"wg","metadata":{"trusted":false},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a1ee7461a97c4e5e86bbc353795b87ee","version_major":2,"version_minor":1},"text/plain":"NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…"},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"execution_count":19},{"cell_type":"code","source":"result = wg.run()","metadata":{"trusted":false},"outputs":[{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:23 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:02:25 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node10,pickle_node11,pickle_node12,pickle_node13,pickle_node15,pickle_node16,pickle_node17,pickle_node18,pickle_node19,pickle_node20,pickle_node22,pickle_node23,pickle_node25,pickle_node27,pickle_node29\n03/21/2025 01:02:25 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node10, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'Al'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:26 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node11, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 4.05}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:28 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node12, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': True}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:30 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node13, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'mini'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:31 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node15, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:33 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node16, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': [3, 3, 3]}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:35 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node17, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'vc-relax'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:36 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node18, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 0.02}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:38 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node19, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': [0.9, 0.95, 1.0, 1.05, 1.1]}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:40 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node20, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'strain_0'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:41 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node22, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'scf'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:43 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node23, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'strain_1'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:45 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node25, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'strain_2'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:46 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node27, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'strain_3'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:48 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: pickle_node29, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 'strain_4'}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:02:52 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13302, 13310, 13318, 13326, 13334, 13342, 13350, 13358, 13366, 13374, 13382, 13390, 13398, 13406, 13414\n03/21/2025 01:03:17 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node10 finished.\n03/21/2025 01:03:18 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node11 finished.\n03/21/2025 01:03:19 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node12 finished.\n03/21/2025 01:03:20 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node13 finished.\n03/21/2025 01:03:21 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node15 finished.\n03/21/2025 01:03:22 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node16 finished.\n03/21/2025 01:03:23 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node17 finished.\n03/21/2025 01:03:24 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node18 finished.\n03/21/2025 01:03:24 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node19 finished.\n03/21/2025 01:03:25 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node20 finished.\n03/21/2025 01:03:26 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node22 finished.\n03/21/2025 01:03:27 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node23 finished.\n03/21/2025 01:03:28 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node25 finished.\n03/21/2025 01:03:29 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node27 finished.\n03/21/2025 01:03:30 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: pickle_node29 finished.\n03/21/2025 01:03:35 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:03:38 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_bulk_structure1\n03/21/2025 01:03:38 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_bulk_structure1, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'a': <Float: uuid: 16afa342-6042-4610-880b-05c726ddc021 (pk: 13461) value: 4.05>, 'cubic': <Bool: uuid: e9b11d23-39ff-4906-8320-7049b9b2f899 (pk: 13462) value: True>, 'element': <Str: uuid: 74f4d149-d30e-40f5-aa5a-6f908e39df89 (pk: 13460) value: Al>, 'register_pickle_by_value': True}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:03:43 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13481\n03/21/2025 01:03:51 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_bulk_structure1 finished.\n03/21/2025 01:03:57 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:04:00 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict14\n03/21/2025 01:04:00 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_dict14, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'calculation': <Str: uuid: 3a2f0bf2-ab76-4548-8ef8-3ea5e01e0cc7 (pk: 13466) value: vc-relax>, 'kpts': <List: uuid: de5635f7-f0c0-43cf-89cb-a924308f1f3a (pk: 13465) value: [3, 3, 3]>, 'pseudopotentials': <PickledData: uuid: 35ce5803-ed86-4244-afba-427baafeefab (pk: 13464) : {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}>, 'register_pickle_by_value': True, 'smearing': <Float: uuid: cc8c67fc-09af-4668-9184-7a2eb385defb (pk: 13467) value: 0.02>, 'structure': <Str: uuid: c09cc760-2df4-4c92-bb77-309a7d1c3317 (pk: 13485) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.05, 0.0, 0.0], [0.0, 4.05, 0.0], [0.0, 0.0, 4.05]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.025, 2.025], [2.025, 0.0, 2.025], [2.025, 2.025, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:04:05 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13492\n03/21/2025 01:04:12 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_dict14 finished.\n03/21/2025 01:04:17 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:04:20 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe2\n03/21/2025 01:04:20 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: calculate_qe2, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'input_dict': <PickledData: uuid: 33d3d7be-8495-40dc-a3e7-0d4c91b96154 (pk: 13496) : {'calculation': 'vc-relax', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02, 'structure': '{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.05, 0.0, 0.0], [0.0, 4.05, 0.0], [0.0, 0.0, 4.05]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.025, 2.025], [2.025, 0.0, 2.025], [2.025, 2.025, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}'}>, 'register_pickle_by_value': True, 'working_directory': <Str: uuid: b0af54cc-3ac8-475f-8dca-bc71e5a4853c (pk: 13463) value: mini>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:04:25 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13503\n03/21/2025 01:05:00 PM <3785899> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['energy', 'volume'])\n03/21/2025 01:05:01 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: calculate_qe2 finished.\n03/21/2025 01:05:06 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:05:09 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_structures3\n03/21/2025 01:05:09 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: generate_structures3, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'register_pickle_by_value': True, 'strain_lst': <List: uuid: 55e2d31b-9fb0-4a01-b728-e8ee98cc1621 (pk: 13468) value: [0.9, 0.95, 1.0, 1.05, 1.1]>, 'structure': <Str: uuid: 96b72e15-7a3d-406c-99a3-6985644b40fe (pk: 13507) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.045637391294343, 0.0, 0.0], [0.0, 4.045637391294343, 0.0], [0.0, 0.0, 4.045637391294343]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.0228186956471714, 2.0228186956471714], [2.0228186956471714, 0.0, 2.0228186956471714], [2.0228186956471714, 2.0228186956471714, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:05:13 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13514\n03/21/2025 01:05:22 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: generate_structures3 finished.\n03/21/2025 01:05:27 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:05:30 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict21,get_dict24,get_dict26,get_dict28,get_dict30\n03/21/2025 01:05:30 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_dict21, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'calculation': <Str: uuid: 635e18f9-af81-46e8-90e4-cde77339666f (pk: 13470) value: scf>, 'kpts': <List: uuid: de5635f7-f0c0-43cf-89cb-a924308f1f3a (pk: 13465) value: [3, 3, 3]>, 'pseudopotentials': <PickledData: uuid: 35ce5803-ed86-4244-afba-427baafeefab (pk: 13464) : {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}>, 'register_pickle_by_value': True, 'smearing': <Float: uuid: cc8c67fc-09af-4668-9184-7a2eb385defb (pk: 13467) value: 0.02>, 'structure': <Str: uuid: cad915e6-f342-4c37-8ba4-c85acc4b830f (pk: 13518) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[3.9060199552583, 0.0, 0.0], [0.0, 3.9060199552583, 0.0], [0.0, 0.0, 3.9060199552583]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 1.95300997762915, 1.95300997762915], [1.95300997762915, 0.0, 1.95300997762915], [1.95300997762915, 1.95300997762915, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:05:32 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_dict24, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'calculation': <Str: uuid: 635e18f9-af81-46e8-90e4-cde77339666f (pk: 13470) value: scf>, 'kpts': <List: uuid: de5635f7-f0c0-43cf-89cb-a924308f1f3a (pk: 13465) value: [3, 3, 3]>, 'pseudopotentials': <PickledData: uuid: 35ce5803-ed86-4244-afba-427baafeefab (pk: 13464) : {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}>, 'register_pickle_by_value': True, 'smearing': <Float: uuid: cc8c67fc-09af-4668-9184-7a2eb385defb (pk: 13467) value: 0.02>, 'structure': <Str: uuid: 82a4e574-2e70-479c-96ff-c953017478ec (pk: 13519) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[3.977054016692985, 0.0, 0.0], [0.0, 3.977054016692985, 0.0], [0.0, 0.0, 3.977054016692985]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 1.9885270083464925, 1.9885270083464925], [1.9885270083464925, 0.0, 1.9885270083464925], [1.9885270083464925, 1.9885270083464925, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:05:33 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_dict26, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'calculation': <Str: uuid: 635e18f9-af81-46e8-90e4-cde77339666f (pk: 13470) value: scf>, 'kpts': <List: uuid: de5635f7-f0c0-43cf-89cb-a924308f1f3a (pk: 13465) value: [3, 3, 3]>, 'pseudopotentials': <PickledData: uuid: 35ce5803-ed86-4244-afba-427baafeefab (pk: 13464) : {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}>, 'register_pickle_by_value': True, 'smearing': <Float: uuid: cc8c67fc-09af-4668-9184-7a2eb385defb (pk: 13467) value: 0.02>, 'structure': <Str: uuid: 1db43569-acf7-4340-9ad4-e5a38a45964d (pk: 13520) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.045637391294343, 0.0, 0.0], [0.0, 4.045637391294343, 0.0], [0.0, 0.0, 4.045637391294343]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.0228186956471714, 2.0228186956471714], [2.0228186956471714, 0.0, 2.0228186956471714], [2.0228186956471714, 2.0228186956471714, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:05:35 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_dict28, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'calculation': <Str: uuid: 635e18f9-af81-46e8-90e4-cde77339666f (pk: 13470) value: scf>, 'kpts': <List: uuid: de5635f7-f0c0-43cf-89cb-a924308f1f3a (pk: 13465) value: [3, 3, 3]>, 'pseudopotentials': <PickledData: uuid: 35ce5803-ed86-4244-afba-427baafeefab (pk: 13464) : {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}>, 'register_pickle_by_value': True, 'smearing': <Float: uuid: cc8c67fc-09af-4668-9184-7a2eb385defb (pk: 13467) value: 0.02>, 'structure': <Str: uuid: e06bf097-039d-4947-9939-6db78d32b643 (pk: 13521) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.111971105505518, 0.0, 0.0], [0.0, 4.111971105505518, 0.0], [0.0, 0.0, 4.111971105505518]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.055985552752759, 2.055985552752759], [2.055985552752759, 0.0, 2.055985552752759], [2.055985552752759, 2.055985552752759, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:05:37 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_dict30, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'calculation': <Str: uuid: 635e18f9-af81-46e8-90e4-cde77339666f (pk: 13470) value: scf>, 'kpts': <List: uuid: de5635f7-f0c0-43cf-89cb-a924308f1f3a (pk: 13465) value: [3, 3, 3]>, 'pseudopotentials': <PickledData: uuid: 35ce5803-ed86-4244-afba-427baafeefab (pk: 13464) : {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}>, 'register_pickle_by_value': True, 'smearing': <Float: uuid: cc8c67fc-09af-4668-9184-7a2eb385defb (pk: 13467) value: 0.02>, 'structure': <Str: uuid: 61ba84b9-1f13-4c2f-8af8-93efb425ffa4 (pk: 13522) value: {\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.176231033379921, 0.0, 0.0], [0.0, 4.176231033379921, 0.0], [0.0, 0.0, 4.176231033379921]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.0881155166899603, 2.0881155166899603], [2.0881155166899603, 0.0, 2.0881155166899603], [2.0881155166899603, 2.0881155166899603, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:05:42 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13529, 13536, 13543, 13550, 13557\n03/21/2025 01:05:54 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_dict21 finished.\n03/21/2025 01:05:55 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_dict24 finished.\n03/21/2025 01:05:56 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_dict26 finished.\n03/21/2025 01:05:57 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_dict28 finished.\n03/21/2025 01:05:58 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_dict30 finished.\n03/21/2025 01:06:03 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:06:04 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe4,calculate_qe5,calculate_qe6,calculate_qe7,calculate_qe8\n03/21/2025 01:06:05 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: calculate_qe4, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'input_dict': <PickledData: uuid: 3becfc0d-76ca-4579-9c60-f575255982c4 (pk: 13573) : {'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02, 'structure': '{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[3.9060199552583, 0.0, 0.0], [0.0, 3.9060199552583, 0.0], [0.0, 0.0, 3.9060199552583]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 1.95300997762915, 1.95300997762915], [1.95300997762915, 0.0, 1.95300997762915], [1.95300997762915, 1.95300997762915, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}'}>, 'register_pickle_by_value': True, 'working_directory': <Str: uuid: c3ea472c-5314-42d7-9ef8-17815f2fe99d (pk: 13469) value: strain_0>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:06:06 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: calculate_qe5, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'input_dict': <PickledData: uuid: 6926407f-01e9-4ea5-94b8-fbdd31e9d851 (pk: 13574) : {'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02, 'structure': '{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[3.977054016692985, 0.0, 0.0], [0.0, 3.977054016692985, 0.0], [0.0, 0.0, 3.977054016692985]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 1.9885270083464925, 1.9885270083464925], [1.9885270083464925, 0.0, 1.9885270083464925], [1.9885270083464925, 1.9885270083464925, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}'}>, 'register_pickle_by_value': True, 'working_directory': <Str: uuid: 08237e8c-e24d-405d-8faa-eab947de9c3c (pk: 13471) value: strain_1>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:06:08 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: calculate_qe6, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'input_dict': <PickledData: uuid: 877058f7-c7e4-4da5-a47c-3ec7d2d4046b (pk: 13575) : {'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02, 'structure': '{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.045637391294343, 0.0, 0.0], [0.0, 4.045637391294343, 0.0], [0.0, 0.0, 4.045637391294343]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.0228186956471714, 2.0228186956471714], [2.0228186956471714, 0.0, 2.0228186956471714], [2.0228186956471714, 2.0228186956471714, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}'}>, 'register_pickle_by_value': True, 'working_directory': <Str: uuid: 41a01870-c1d2-4eaa-a16f-5f69e2ad0fa9 (pk: 13472) value: strain_2>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:06:10 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: calculate_qe7, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'input_dict': <PickledData: uuid: a00527c0-a412-4074-a0f5-ef8e6fa1653d (pk: 13576) : {'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02, 'structure': '{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.111971105505518, 0.0, 0.0], [0.0, 4.111971105505518, 0.0], [0.0, 0.0, 4.111971105505518]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.055985552752759, 2.055985552752759], [2.055985552752759, 0.0, 2.055985552752759], [2.055985552752759, 2.055985552752759, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}'}>, 'register_pickle_by_value': True, 'working_directory': <Str: uuid: 7815425a-c8fd-4e3f-9703-75650f1d1207 (pk: 13473) value: strain_3>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:06:12 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: calculate_qe8, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'input_dict': <PickledData: uuid: 5528fd29-bf91-4333-99d3-61e20bafe9cf (pk: 13577) : {'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02, 'structure': '{\"immutable_id\": null, \"last_modified\": null, \"elements\": [\"Al\"], \"nelements\": 1, \"elements_ratios\": [1.0], \"chemical_formula_descriptive\": \"Al4\", \"chemical_formula_reduced\": \"Al\", \"chemical_formula_hill\": null, \"chemical_formula_anonymous\": \"A\", \"dimension_types\": [1, 1, 1], \"nperiodic_dimensions\": 3, \"lattice_vectors\": [[4.176231033379921, 0.0, 0.0], [0.0, 4.176231033379921, 0.0], [0.0, 0.0, 4.176231033379921]], \"space_group_symmetry_operations_xyz\": null, \"space_group_symbol_hall\": null, \"space_group_symbol_hermann_mauguin\": null, \"space_group_symbol_hermann_mauguin_extended\": null, \"space_group_it_number\": null, \"cartesian_site_positions\": [[0.0, 0.0, 0.0], [0.0, 2.0881155166899603, 2.0881155166899603], [2.0881155166899603, 0.0, 2.0881155166899603], [2.0881155166899603, 2.0881155166899603, 0.0]], \"nsites\": 4, \"species\": [{\"name\": \"Al\", \"chemical_symbols\": [\"Al\"], \"concentration\": [1.0], \"mass\": null, \"original_name\": null, \"attached\": null, \"nattached\": null}], \"species_at_sites\": [\"Al\", \"Al\", \"Al\", \"Al\"], \"assemblies\": null, \"structure_features\": []}'}>, 'register_pickle_by_value': True, 'working_directory': <Str: uuid: 0d340bf5-20b4-4c2f-9847-ac0e372af230 (pk: 13474) value: strain_4>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:06:16 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13584, 13591, 13598, 13605, 13612\n03/21/2025 01:07:38 PM <3785899> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n03/21/2025 01:07:39 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: calculate_qe4 finished.\n03/21/2025 01:07:44 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:07:45 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n03/21/2025 01:07:48 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13591, 13598, 13605, 13612\n03/21/2025 01:07:54 PM <3785899> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n03/21/2025 01:07:55 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: calculate_qe5 finished.\n03/21/2025 01:08:00 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:08:01 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n03/21/2025 01:08:05 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13598, 13605, 13612\n03/21/2025 01:08:10 PM <3785899> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n03/21/2025 01:08:11 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: calculate_qe6 finished.\n03/21/2025 01:08:16 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:08:18 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n03/21/2025 01:08:21 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13605, 13612\n03/21/2025 01:08:30 PM <3785899> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n03/21/2025 01:08:31 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: calculate_qe7 finished.\n03/21/2025 01:08:36 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:08:37 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n03/21/2025 01:08:41 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13612\n03/21/2025 01:08:46 PM <3785899> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n03/21/2025 01:08:47 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: calculate_qe8 finished.\n03/21/2025 01:08:52 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:08:54 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list31,get_list32\n03/21/2025 01:08:54 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_list31, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'0': <PickledData: uuid: f7877f70-a5da-476d-9deb-500d14a7be2b (pk: 13625) : 59.59411400152967>, '1': <PickledData: uuid: d535a9c7-67f6-4ff9-92c3-16c7884e2516 (pk: 13628) : 62.90489811272598>, '2': <PickledData: uuid: e488134f-b52c-4d52-8245-937bd8ddb110 (pk: 13631) : 66.2156822239217>, '3': <PickledData: uuid: ada9a8e6-40e4-4e48-b2ba-e4a13d8ad96c (pk: 13634) : 69.52646633511804>, '4': <PickledData: uuid: 1fbe760e-3cd2-498c-b924-8e21a66f912b (pk: 13637) : 72.837250446314>, 'register_pickle_by_value': True}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:08:56 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: get_list32, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'0': <Float: uuid: 5f2f114e-2185-4efd-8967-fa3b6f1a50ee (pk: 13624) value: -1074.8457448491>, '1': <Float: uuid: 460312fe-1cb1-4598-9b89-c696fab173d8 (pk: 13627) value: -1074.916148965>, '2': <Float: uuid: 7e4ea273-0c2e-45df-b569-afc20ed78a92 (pk: 13630) value: -1074.9365241649>, '3': <Float: uuid: 5ce4361b-d228-4c0d-9b08-c506216d3f68 (pk: 13633) value: -1074.9192859118>, '4': <Float: uuid: 23482c0a-4fb0-4dbf-b643-533ac4607abf (pk: 13636) value: -1074.8737903054>, 'register_pickle_by_value': True}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:09:01 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13644, 13651\n03/21/2025 01:09:09 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_list31 finished.\n03/21/2025 01:09:10 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: get_list32 finished.\n03/21/2025 01:09:15 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:09:17 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_energy_volume_curve9\n03/21/2025 01:09:17 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|run_tasks]: Run task: plot_energy_volume_curve9, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'energy_lst': <List: uuid: b38e69ec-06ad-4e62-8998-4becf306d9fa (pk: 13659) value: [-1074.8457448491, -1074.916148965, -1074.9365241649, -1074.9192859118, -1074.8737903054]>, 'register_pickle_by_value': True, 'volume_lst': <List: uuid: 8cad01fb-91db-48dd-af2f-e92aeceaddf1 (pk: 13658) value: [59.59411400153, 62.904898112726, 66.215682223922, 69.526466335118, 72.837250446314]>}\n"},{"name":"stderr","output_type":"stream","text":"03/21/2025 01:09:22 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 13666\n03/21/2025 01:09:30 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|update_task_state]: Task: plot_energy_volume_curve9 finished.\n03/21/2025 01:09:35 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/21/2025 01:09:36 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n03/21/2025 01:09:40 PM <3785899> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [13294|WorkGraphEngine|finalize]: Finalize workgraph.\n"}],"execution_count":20},{"cell_type":"code","source":"from IPython.display import Image, display\n\nplot_task = [t for t in wg.tasks if t.name.startswith('plot_energy_volume_curve')][0]\nplot_file = f\"{plot_task.node.get_remote_workdir()}/evcurve.png\"\n\ndisplay(Image(filename=str(plot_file)))\n","metadata":{"trusted":false},"outputs":[{"data":{"image/png":"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","text/plain":"<IPython.core.display.Image object>"},"metadata":{},"output_type":"display_data"}],"execution_count":37},{"cell_type":"markdown","source":"## Load Workflow with pyiron_base","metadata":{}},{"cell_type":"code","source":"from pyiron_base import Project","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from python_workflow_definition.pyiron_base import load_workflow_json","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"delayed_object = load_workflow_json(project=pr, file_name=workflow_json_filename)\ndelayed_object.draw()","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"delayed_object.pull()","metadata":{"trusted":false},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":false},"outputs":[],"execution_count":null}]}
\ No newline at end of file
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Quantum Espresso Energy Volume Curve Workflow with jobflow"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Define workflow with jobflow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"cipher\": algorithms.TripleDES,\n",
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"class\": algorithms.TripleDES,\n"
+     ]
+    }
+   ],
+   "source": [
+    "from jobflow import job, Flow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from python_workflow_definition.jobflow import write_workflow_json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from quantum_espresso_workflow import (\n",
+    "    calculate_qe as _calculate_qe, \n",
+    "    generate_structures as _generate_structures, \n",
+    "    get_bulk_structure as _get_bulk_structure, \n",
+    "    plot_energy_volume_curve as _plot_energy_volume_curve,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "workflow_json_filename = \"jobflow_qe.json\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "calculate_qe = job(_calculate_qe, data=[\"energy\", \"volume\", \"structure\"])\n",
+    "generate_structures = job(_generate_structures, data=[f\"s_{i}\" for i in range(100)])\n",
+    "plot_energy_volume_curve = job(_plot_energy_volume_curve)\n",
+    "get_bulk_structure = job(_get_bulk_structure)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pseudopotentials = {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "structure = get_bulk_structure(\n",
+    "    element=\"Al\",\n",
+    "    a=4.05,\n",
+    "    cubic=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "calc_mini = calculate_qe(\n",
+    "    working_directory=\"mini\",\n",
+    "    input_dict={\n",
+    "        \"structure\": structure.output,\n",
+    "        \"pseudopotentials\": pseudopotentials,\n",
+    "        \"kpts\": (3, 3, 3),\n",
+    "        \"calculation\": \"vc-relax\",\n",
+    "        \"smearing\": 0.02,\n",
+    "    },\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "number_of_strains = 5\n",
+    "structure_lst = generate_structures(\n",
+    "    structure=calc_mini.output.structure,\n",
+    "    strain_lst=np.linspace(0.9, 1.1, number_of_strains),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "job_strain_lst = []\n",
+    "for i in range(number_of_strains):\n",
+    "    calc_strain = calculate_qe(\n",
+    "        working_directory=\"strain_\" + str(i),\n",
+    "        input_dict={\n",
+    "            \"structure\": getattr(structure_lst.output, f\"s_{i}\"),\n",
+    "            \"pseudopotentials\": pseudopotentials,\n",
+    "            \"kpts\": (3, 3, 3),\n",
+    "            \"calculation\": \"scf\",\n",
+    "            \"smearing\": 0.02,\n",
+    "        },\n",
+    "    )\n",
+    "    job_strain_lst.append(calc_strain)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot = plot_energy_volume_curve(\n",
+    "    volume_lst=[job.output.volume for job in job_strain_lst],\n",
+    "    energy_lst=[job.output.energy for job in job_strain_lst],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flow = Flow([structure, calc_mini, structure_lst] + job_strain_lst + [plot])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "write_workflow_json(flow=flow, file_name=workflow_json_filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\"nodes\": {\"0\": \"quantum_espresso_workflow.get_bulk_structure\", \"1\": \"quantum_espresso_workflow.calculate_qe\", \"2\": \"quantum_espresso_workflow.generate_structures\", \"3\": \"quantum_espresso_workflow.calculate_qe\", \"4\": \"quantum_espresso_workflow.calculate_qe\", \"5\": \"quantum_espresso_workflow.calculate_qe\", \"6\": \"quantum_espresso_workflow.calculate_qe\", \"7\": \"quantum_espresso_workflow.calculate_qe\", \"8\": \"quantum_espresso_workflow.plot_energy_volume_curve\", \"9\": \"Al\", \"10\": 4.05, \"11\": true, \"12\": \"mini\", \"13\": \"python_workflow_definition.shared.get_dict\", \"14\": {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}, \"15\": [3, 3, 3], \"16\": \"vc-relax\", \"17\": 0.02, \"18\": [0.9, 0.9500000000000001, 1.0, 1.05, 1.1], \"19\": \"strain_0\", \"20\": \"python_workflow_definition.shared.get_dict\", \"21\": \"scf\", \"22\": \"strain_1\", \"23\": \"python_workflow_definition.shared.get_dict\", \"24\": \"strain_2\", \"25\": \"python_workflow_definition.shared.get_dict\", \"26\": \"strain_3\", \"27\": \"python_workflow_definition.shared.get_dict\", \"28\": \"strain_4\", \"29\": \"python_workflow_definition.shared.get_dict\", \"30\": \"python_workflow_definition.shared.get_list\", \"31\": \"python_workflow_definition.shared.get_list\"}, \"edges\": [{\"target\": 0, \"targetHandle\": \"element\", \"source\": 9, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"a\", \"source\": 10, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"cubic\", \"source\": 11, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"working_directory\", \"source\": 12, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"structure\", \"source\": 0, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"pseudopotentials\", \"source\": 14, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"kpts\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"calculation\", \"source\": 16, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"smearing\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"input_dict\", \"source\": 13, \"sourceHandle\": null}, {\"target\": 2, \"targetHandle\": \"structure\", \"source\": 1, \"sourceHandle\": \"structure\"}, {\"target\": 2, \"targetHandle\": \"strain_lst\", \"source\": 18, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"working_directory\", \"source\": 19, \"sourceHandle\": null}, {\"target\": 20, \"targetHandle\": \"structure\", \"source\": 2, \"sourceHandle\": \"s_0\"}, {\"target\": 20, \"targetHandle\": \"pseudopotentials\", \"source\": 14, \"sourceHandle\": null}, {\"target\": 20, \"targetHandle\": \"kpts\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 20, \"targetHandle\": \"calculation\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 20, \"targetHandle\": \"smearing\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"input_dict\", \"source\": 20, \"sourceHandle\": null}, {\"target\": 4, \"targetHandle\": \"working_directory\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 23, \"targetHandle\": \"structure\", \"source\": 2, \"sourceHandle\": \"s_1\"}, {\"target\": 23, \"targetHandle\": \"pseudopotentials\", \"source\": 14, \"sourceHandle\": null}, {\"target\": 23, \"targetHandle\": \"kpts\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 23, \"targetHandle\": \"calculation\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 23, \"targetHandle\": \"smearing\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 4, \"targetHandle\": \"input_dict\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 5, \"targetHandle\": \"working_directory\", \"source\": 24, \"sourceHandle\": null}, {\"target\": 25, \"targetHandle\": \"structure\", \"source\": 2, \"sourceHandle\": \"s_2\"}, {\"target\": 25, \"targetHandle\": \"pseudopotentials\", \"source\": 14, \"sourceHandle\": null}, {\"target\": 25, \"targetHandle\": \"kpts\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 25, \"targetHandle\": \"calculation\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 25, \"targetHandle\": \"smearing\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 5, \"targetHandle\": \"input_dict\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"working_directory\", \"source\": 26, \"sourceHandle\": null}, {\"target\": 27, \"targetHandle\": \"structure\", \"source\": 2, \"sourceHandle\": \"s_3\"}, {\"target\": 27, \"targetHandle\": \"pseudopotentials\", \"source\": 14, \"sourceHandle\": null}, {\"target\": 27, \"targetHandle\": \"kpts\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 27, \"targetHandle\": \"calculation\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 27, \"targetHandle\": \"smearing\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"input_dict\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"working_directory\", \"source\": 28, \"sourceHandle\": null}, {\"target\": 29, \"targetHandle\": \"structure\", \"source\": 2, \"sourceHandle\": \"s_4\"}, {\"target\": 29, \"targetHandle\": \"pseudopotentials\", \"source\": 14, \"sourceHandle\": null}, {\"target\": 29, \"targetHandle\": \"kpts\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 29, \"targetHandle\": \"calculation\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 29, \"targetHandle\": \"smearing\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"input_dict\", \"source\": 29, \"sourceHandle\": null}, {\"target\": 30, \"targetHandle\": \"0\", \"source\": 3, \"sourceHandle\": \"volume\"}, {\"target\": 30, \"targetHandle\": \"1\", \"source\": 4, \"sourceHandle\": \"volume\"}, {\"target\": 30, \"targetHandle\": \"2\", \"source\": 5, \"sourceHandle\": \"volume\"}, {\"target\": 30, \"targetHandle\": \"3\", \"source\": 6, \"sourceHandle\": \"volume\"}, {\"target\": 30, \"targetHandle\": \"4\", \"source\": 7, \"sourceHandle\": \"volume\"}, {\"target\": 8, \"targetHandle\": \"volume_lst\", \"source\": 30, \"sourceHandle\": null}, {\"target\": 31, \"targetHandle\": \"0\", \"source\": 3, \"sourceHandle\": \"energy\"}, {\"target\": 31, \"targetHandle\": \"1\", \"source\": 4, \"sourceHandle\": \"energy\"}, {\"target\": 31, \"targetHandle\": \"2\", \"source\": 5, \"sourceHandle\": \"energy\"}, {\"target\": 31, \"targetHandle\": \"3\", \"source\": 6, \"sourceHandle\": \"energy\"}, {\"target\": 31, \"targetHandle\": \"4\", \"source\": 7, \"sourceHandle\": \"energy\"}, {\"target\": 8, \"targetHandle\": \"energy_lst\", \"source\": 31, \"sourceHandle\": null}]}"
+     ]
+    }
+   ],
+   "source": [
+    "!cat {workflow_json_filename}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with aiida"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Profile<uuid='c08748df7ab74ec08c14e5f16cebc987' name='pwd'>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from aiida import load_profile\n",
+    "\n",
+    "load_profile()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from python_workflow_definition.aiida import load_workflow_json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "wg = load_workflow_json(workflow_json_filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6ae53aad4c0e45789225a46b5b096434",
+       "version_major": 2,
+       "version_minor": 1
+      },
+      "text/plain": [
+       "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:25:44 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node10,pickle_node11,pickle_node12,pickle_node13,pickle_node15,pickle_node16,pickle_node17,pickle_node18,pickle_node19,pickle_node20,pickle_node22,pickle_node23,pickle_node25,pickle_node27,pickle_node29\n",
+      "03/22/2025 05:26:05 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 335, 342, 349, 356, 363, 370, 377, 384, 391, 398, 405, 412, 419, 426, 433\n",
+      "03/22/2025 05:27:16 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node10, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:27:16 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node11, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:17 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node12, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:17 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node13, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:18 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node15, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:18 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node16, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:19 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node17, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:19 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node18, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:20 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node19, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:20 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node20, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:21 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node22, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:21 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node23, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:22 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node25, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:22 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node27, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:23 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: pickle_node29, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:27:29 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_bulk_structure1\n",
+      "03/22/2025 05:27:31 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 500\n",
+      "03/22/2025 05:27:43 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_bulk_structure1, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:27:48 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict14\n",
+      "03/22/2025 05:27:51 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 511\n",
+      "03/22/2025 05:28:02 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_dict14, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:28:07 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe2\n",
+      "03/22/2025 05:28:10 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 522\n",
+      "03/22/2025 05:28:48 PM <77053> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['energy', 'volume'])\n",
+      "03/22/2025 05:28:49 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: calculate_qe2, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:28:55 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_structures3\n",
+      "03/22/2025 05:28:57 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 533\n",
+      "03/22/2025 05:29:09 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: generate_structures3, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:29:16 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict21,get_dict24,get_dict26,get_dict28,get_dict30\n",
+      "03/22/2025 05:29:24 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 548, 555, 562, 569, 576\n",
+      "03/22/2025 05:29:52 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_dict21, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:29:52 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_dict24, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:29:53 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_dict26, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:29:53 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_dict28, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:29:54 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_dict30, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:29:59 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe4,calculate_qe5,calculate_qe6,calculate_qe7,calculate_qe8\n",
+      "03/22/2025 05:30:07 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 603, 610, 617, 624, 631\n",
+      "03/22/2025 05:30:41 PM <77053> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:30:42 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: calculate_qe4, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:30:47 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:30:50 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 610, 617, 624, 631\n",
+      "03/22/2025 05:30:58 PM <77053> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:30:59 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: calculate_qe5, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:31:06 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:31:07 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 617, 624, 631\n",
+      "03/22/2025 05:31:14 PM <77053> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:31:15 PM <77053> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:31:15 PM <77053> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:31:16 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: calculate_qe6, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:31:16 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: calculate_qe7, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:31:17 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: calculate_qe8, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:31:22 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list31,get_list32\n",
+      "03/22/2025 05:31:27 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 663, 670\n",
+      "03/22/2025 05:31:42 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_list31, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:31:42 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: get_list32, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:31:47 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_energy_volume_curve9\n",
+      "03/22/2025 05:31:50 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 685\n",
+      "03/22/2025 05:32:04 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|update_task_state]: Task: plot_energy_volume_curve9, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:32:09 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:32:11 PM <77053> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [328|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+     ]
+    }
+   ],
+   "source": [
+    "result = wg.run()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image, display\n",
+    "\n",
+    "plot_task = [t for t in wg.tasks if t.name.startswith('plot_energy_volume_curve')][0]\n",
+    "plot_file = f\"{plot_task.node.get_remote_workdir()}/evcurve.png\"\n",
+    "\n",
+    "display(Image(filename=str(plot_file)))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with pyiron_base"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyiron_base import Project"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from python_workflow_definition.pyiron_base import load_workflow_json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a850e49d3d5c4eddb02cdff71ddd2065",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "0it [00:00, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pr = Project(\"test\")\n",
+    "pr.remove_jobs(recursive=True, silently=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"6022pt\" height=\"620pt\" viewBox=\"0.00 0.00 6022.31 620.00\">\n",
+       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 616)\">\n",
+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-616 6018.31,-616 6018.31,4 -4,4\"/>\n",
+       "<!-- create_function_job_e3cf7382da1f89333d5638766d8f35d1 -->\n",
+       "<g id=\"node1\" class=\"node\">\n",
+       "<title>create_function_job_e3cf7382da1f89333d5638766d8f35d1</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"3006.39\" cy=\"-18\" rx=\"361\" ry=\"18\"/>\n",
+       "<text text-anchor=\"middle\" x=\"3006.39\" y=\"-12.95\" font-family=\"Times,serif\" font-size=\"14.00\">create_function_job=&lt;pyiron_base.project.delayed.DelayedObject object at 0x7f6dbf1d1ac0&gt;</text>\n",
+       "</g>\n",
+       "<!-- volume_lst_827680783f0748a5c1484d35a17d3098 -->\n",
+       "<g id=\"node2\" class=\"node\">\n",
+       "<title>volume_lst_827680783f0748a5c1484d35a17d3098</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"2669.39\" cy=\"-90\" rx=\"329.78\" ry=\"18\"/>\n",
+       "<text text-anchor=\"middle\" x=\"2669.39\" y=\"-84.95\" font-family=\"Times,serif\" font-size=\"14.00\">volume_lst=&lt;pyiron_base.project.delayed.DelayedObject object at 0x7f6dbf1d1760&gt;</text>\n",
+       "</g>\n",
+       "<!-- volume_lst_827680783f0748a5c1484d35a17d3098&#45;&gt;create_function_job_e3cf7382da1f89333d5638766d8f35d1 -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>volume_lst_827680783f0748a5c1484d35a17d3098-&gt;create_function_job_e3cf7382da1f89333d5638766d8f35d1</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M2750.54,-72.14C2799.62,-61.95 2862.37,-48.92 2913.44,-38.31\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"2913.92,-41.78 2923,-36.32 2912.5,-34.93 2913.92,-41.78\"/>\n",
+       "</g>\n",
+       "<!-- 0_9cbbf4500eced430f69780421606e9d0 -->\n",
+       "<g id=\"node3\" class=\"node\">\n",
+       "<title>0_9cbbf4500eced430f69780421606e9d0</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"1497.39\" cy=\"-162\" rx=\"292.92\" ry=\"18\"/>\n",
+       "<text text-anchor=\"middle\" x=\"1497.39\" y=\"-156.95\" font-family=\"Times,serif\" font-size=\"14.00\">0=&lt;pyiron_base.project.delayed.DelayedObject object at 0x7f6dbf1d1130&gt;</text>\n",
+       "</g>\n",
+       "<!-- 0_9cbbf4500eced430f69780421606e9d0&#45;&gt;volume_lst_827680783f0748a5c1484d35a17d3098 -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>0_9cbbf4500eced430f69780421606e9d0-&gt;volume_lst_827680783f0748a5c1484d35a17d3098</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M1702.21,-148.77C1908.73,-136.43 2226.83,-117.43 2441.29,-104.62\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"2441.42,-108.12 2451.19,-104.03 2441,-101.13 2441.42,-108.12\"/>\n",
+       "</g>\n",
+       "<!-- working_directory_2e9abb255f1a31f7d29b4451ad422add -->\n",
+       "<g id=\"node4\" class=\"node\">\n",
+       "<title>working_directory_2e9abb255f1a31f7d29b4451ad422add</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"1592.39\" cy=\"-234\" rx=\"114.82\" ry=\"18\"/>\n",
+       "<text text-anchor=\"middle\" x=\"1592.39\" y=\"-228.95\" font-family=\"Times,serif\" font-size=\"14.00\">working_directory=strain_0</text>\n",
+       "</g>\n",
+       "<!-- working_directory_2e9abb255f1a31f7d29b4451ad422add&#45;&gt;0_9cbbf4500eced430f69780421606e9d0 -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>working_directory_2e9abb255f1a31f7d29b4451ad422add-&gt;0_9cbbf4500eced430f69780421606e9d0</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M1569.39,-216.05C1557.55,-207.33 1542.91,-196.54 1529.93,-186.98\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"1532.18,-184.29 1522.05,-181.17 1528.03,-189.92 1532.18,-184.29\"/>\n",
+       "</g>\n",
+       "<!-- 0_34b16fa51aa55c4b2edc220ba6b4c05a -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>0_34b16fa51aa55c4b2edc220ba6b4c05a</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"2101.39\" cy=\"-162\" rx=\"292.92\" ry=\"18\"/>\n",
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+       "</svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "delayed_object = load_workflow_json(project=pr, file_name=workflow_json_filename)\n",
+    "delayed_object.draw()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job get_bulk_structure_f1e730ed97e30e5439e855d2ac41396f was saved and received the ID: 8\n",
+      "The job get_dict_1e47509b88d63a21fd421686554c8f4a was saved and received the ID: 9\n",
+      "The job calculate_qe_e3c0bf43f7edf24d215901bf93271e87 was saved and received the ID: 10\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job generate_structures_6326b8ea2e84f099ea95fec76459bc56 was saved and received the ID: 11\n",
+      "The job get_dict_27e8162e8ea354dae951497ba9e7b9dd was saved and received the ID: 12\n",
+      "The job calculate_qe_1bf9ad9fb363acc8d268f1e80ed53382 was saved and received the ID: 13\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job get_dict_3e0ebfe87008f5e62291452793644d90 was saved and received the ID: 14\n",
+      "The job calculate_qe_b6c10ce0f5581c5163295b4ddf908191 was saved and received the ID: 15\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job get_dict_e59211242612ae95433521ef6b374e6f was saved and received the ID: 16\n",
+      "The job calculate_qe_5be20ee465cbcc51f54d4167a9f081ae was saved and received the ID: 17\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job get_dict_9dd0bb1e6343ccf9acbdb1bea11bd506 was saved and received the ID: 18\n",
+      "The job calculate_qe_0e5300454c9d12e36c6d2925c2e6d859 was saved and received the ID: 19\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job get_dict_da6f93cd2ef0e45bdf569b708131d0a6 was saved and received the ID: 20\n",
+      "The job calculate_qe_326496dc7db0f79fde4d7e1abe2eedf3 was saved and received the ID: 21\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job get_list_09ab4d5239e439dc9eb2292db9516c04 was saved and received the ID: 22\n",
+      "The job get_list_30bb97099893030717e722ed661022c7 was saved and received the ID: 23\n",
+      "The job plot_energy_volume_curve_e82d98c6a163e43fe8943f89cb94dee9 was saved and received the ID: 24\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "delayed_object.pull()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/jobflow_simple.ipynb b/jobflow_simple.ipynb
index 4baff9a..222e64b 100644
--- a/jobflow_simple.ipynb
+++ b/jobflow_simple.ipynb
@@ -1 +1,483 @@
-{"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.12.8"}},"nbformat_minor":5,"nbformat":4,"cells":[{"id":"982a4fbe-7cf9-45dd-84ae-9854149db0b9","cell_type":"markdown","source":"# Simple Workflow with jobflow","metadata":{}},{"id":"e6180712-d081-45c7-ba41-fc5191f10427","cell_type":"markdown","source":"## Define workflow with jobflow","metadata":{}},{"id":"000bbd4a-f53c-4eea-9d85-76f0aa2ca10b","cell_type":"code","source":"from jobflow import job, Flow","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"cipher\": algorithms.TripleDES,\n/srv/conda/envs/notebook/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n  \"class\": algorithms.TripleDES,\n"}],"execution_count":1},{"id":"06c2bd9e-b2ac-4b88-9158-fa37331c3418","cell_type":"code","source":"from python_workflow_definition.jobflow import write_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":2},{"id":"fb847d49-7bf9-4839-9b99-c116d1b0e9ee","cell_type":"code","source":"from simple_workflow import (\n    add_x_and_y as _add_x_and_y, \n    add_x_and_y_and_z as _add_x_and_y_and_z,\n)","metadata":{"trusted":true},"outputs":[],"execution_count":3},{"id":"8f95244e","cell_type":"code","source":"workflow_json_filename = \"jobflow_simple.json\"","metadata":{"trusted":true},"outputs":[],"execution_count":4},{"id":"07598344-0f75-433b-8902-bea21a42088c","cell_type":"code","source":"add_x_and_y = job(_add_x_and_y, data=[\"x\", \"y\", \"z\"])\nadd_x_and_y_and_z = job(_add_x_and_y_and_z)","metadata":{"trusted":true},"outputs":[],"execution_count":5},{"id":"ecef1ed5-a8d3-48c3-9e01-4a40e55c1153","cell_type":"code","source":"obj = add_x_and_y(x=1, y=2)","metadata":{"trusted":true},"outputs":[],"execution_count":6},{"id":"2b88a30a-e26b-4802-89b7-79ca08cc0af9","cell_type":"code","source":"w = add_x_and_y_and_z(x=obj.output.x, y=obj.output.y, z=obj.output.z)","metadata":{"trusted":true},"outputs":[],"execution_count":7},{"id":"a5e5ca63-2906-47c9-bac6-adebf8643cba","cell_type":"code","source":"flow = Flow([obj, w])","metadata":{"trusted":true},"outputs":[],"execution_count":8},{"id":"e464da97-16a1-4772-9a07-0a47f152781d","cell_type":"code","source":"write_workflow_json(flow=flow, file_name=workflow_json_filename)","metadata":{"trusted":true},"outputs":[],"execution_count":9},{"id":"bca646b2-0a9a-4271-966a-e5903a8c9031","cell_type":"code","source":"!cat {workflow_json_filename}","metadata":{"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"{\"nodes\": {\"0\": \"simple_workflow.add_x_and_y\", \"1\": \"simple_workflow.add_x_and_y_and_z\", \"2\": 1, \"3\": 2}, \"edges\": [{\"target\": 0, \"targetHandle\": \"x\", \"source\": 2, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"y\", \"source\": 3, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"x\", \"source\": 0, \"sourceHandle\": \"x\"}, {\"target\": 1, \"targetHandle\": \"y\", \"source\": 0, \"sourceHandle\": \"y\"}, {\"target\": 1, \"targetHandle\": \"z\", \"source\": 0, \"sourceHandle\": \"z\"}]}"}],"execution_count":10},{"id":"87a27540-c390-4d34-ae75-4739bfc4c1b7","cell_type":"markdown","source":"## Load Workflow with aiida","metadata":{}},{"id":"66a1b3a6-3d3b-4caa-b58f-d8bc089b1074","cell_type":"code","source":"from aiida import load_profile\n\nload_profile()","metadata":{"trusted":true},"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"Profile<uuid='c42e9c9e33c74bf98d1b7929313a2856' name='adis'>"},"metadata":{}}],"execution_count":11},{"id":"4679693b-039b-45cf-8c67-5b2b3d705a83","cell_type":"code","source":"from python_workflow_definition.aiida import load_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":12},{"id":"68c41a61-d185-47e8-ba31-eeff71d8b2c6","cell_type":"code","source":"wg = load_workflow_json(file_name=workflow_json_filename)\nwg","metadata":{"trusted":true},"outputs":[{"execution_count":13,"output_type":"execute_result","data":{"text/plain":"NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":1,"model_id":"b4247ecf627d478b90b979bbdbaefbd3"}},"metadata":{}}],"execution_count":13},{"id":"05228ece-643c-420c-8df8-4ce3df379515","cell_type":"code","source":"wg.run()","metadata":{"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"03/22/2025 09:10:55 AM <674> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [31|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/22/2025 09:10:55 AM <674> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [31|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node3,pickle_node4\n03/22/2025 09:10:55 AM <674> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [31|WorkGraphEngine|run_tasks]: Run task: pickle_node3, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 1}\n"},{"name":"stderr","output_type":"stream","text":"03/22/2025 09:10:56 AM <674> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [31|WorkGraphEngine|run_tasks]: Run task: pickle_node4, type: PYTHONJOB\n"},{"name":"stdout","output_type":"stream","text":"------------------------------------------------------------\nkwargs:  {'value': 2}\n"},{"name":"stderr","output_type":"stream","text":"03/22/2025 09:10:56 AM <674> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [31|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 39, 47\n03/22/2025 09:10:59 AM <674> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 09:10:59 AM <674> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-10' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 09:10:59 AM <674> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 09:10:59 AM <674> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n"}],"execution_count":null},{"id":"2c942094-61b4-4e94-859a-64f87b5bec64","cell_type":"markdown","source":"## Load Workflow with pyiron_base","metadata":{}},{"id":"40672826-23bf-4c24-84e2-a6b9d87e2a3f","cell_type":"code","source":"from pyiron_base import Project","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"id":"ea102341-84f7-4156-a7d1-c3ab1ea613a5","cell_type":"code","source":"from python_workflow_definition.pyiron_base import load_workflow_json","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"id":"f45684a8-2613-415a-ab0a-5cb2bafaffea","cell_type":"code","source":"pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"id":"8f2a621d-b533-4ddd-8bcd-c22db2f922ec","cell_type":"code","source":"delayed_object = load_workflow_json(project=pr, file_name=workflow_json_filename)\ndelayed_object.draw()","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"id":"cf80267d-c2b0-4236-bf1d-a57596985fc1","cell_type":"code","source":"delayed_object.pull()","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}
\ No newline at end of file
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "982a4fbe-7cf9-45dd-84ae-9854149db0b9",
+   "metadata": {},
+   "source": [
+    "# Simple Workflow with jobflow"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6180712-d081-45c7-ba41-fc5191f10427",
+   "metadata": {},
+   "source": [
+    "## Define workflow with jobflow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "000bbd4a-f53c-4eea-9d85-76f0aa2ca10b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"cipher\": algorithms.TripleDES,\n",
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"class\": algorithms.TripleDES,\n"
+     ]
+    }
+   ],
+   "source": [
+    "from jobflow import job, Flow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "06c2bd9e-b2ac-4b88-9158-fa37331c3418",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from python_workflow_definition.jobflow import write_workflow_json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fb847d49-7bf9-4839-9b99-c116d1b0e9ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from simple_workflow import (\n",
+    "    add_x_and_y as _add_x_and_y, \n",
+    "    add_x_and_y_and_z as _add_x_and_y_and_z,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8f95244e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "workflow_json_filename = \"jobflow_simple.json\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "07598344-0f75-433b-8902-bea21a42088c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "add_x_and_y = job(_add_x_and_y, data=[\"x\", \"y\", \"z\"])\n",
+    "add_x_and_y_and_z = job(_add_x_and_y_and_z)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ecef1ed5-a8d3-48c3-9e01-4a40e55c1153",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "obj = add_x_and_y(x=1, y=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2b88a30a-e26b-4802-89b7-79ca08cc0af9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w = add_x_and_y_and_z(x=obj.output.x, y=obj.output.y, z=obj.output.z)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "a5e5ca63-2906-47c9-bac6-adebf8643cba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flow = Flow([obj, w])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "e464da97-16a1-4772-9a07-0a47f152781d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "write_workflow_json(flow=flow, file_name=workflow_json_filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "bca646b2-0a9a-4271-966a-e5903a8c9031",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\"nodes\": {\"0\": \"simple_workflow.add_x_and_y\", \"1\": \"simple_workflow.add_x_and_y_and_z\", \"2\": 1, \"3\": 2}, \"edges\": [{\"target\": 0, \"targetHandle\": \"x\", \"source\": 2, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"y\", \"source\": 3, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"x\", \"source\": 0, \"sourceHandle\": \"x\"}, {\"target\": 1, \"targetHandle\": \"y\", \"source\": 0, \"sourceHandle\": \"y\"}, {\"target\": 1, \"targetHandle\": \"z\", \"source\": 0, \"sourceHandle\": \"z\"}]}"
+     ]
+    }
+   ],
+   "source": [
+    "!cat {workflow_json_filename}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87a27540-c390-4d34-ae75-4739bfc4c1b7",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with aiida"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "66a1b3a6-3d3b-4caa-b58f-d8bc089b1074",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Profile<uuid='c08748df7ab74ec08c14e5f16cebc987' name='pwd'>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from aiida import load_profile\n",
+    "\n",
+    "load_profile()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "4679693b-039b-45cf-8c67-5b2b3d705a83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from python_workflow_definition.aiida import load_workflow_json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "68c41a61-d185-47e8-ba31-eeff71d8b2c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8e477ea52ce842b2be61f889452c9ab5",
+       "version_major": 2,
+       "version_minor": 1
+      },
+      "text/plain": [
+       "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "wg = load_workflow_json(file_name=workflow_json_filename)\n",
+    "wg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "05228ece-643c-420c-8df8-4ce3df379515",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:13:01 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node3,pickle_node4\n",
+      "03/22/2025 05:13:04 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 11, 18\n",
+      "03/22/2025 05:13:15 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|update_task_state]: Task: pickle_node3, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:13:15 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|update_task_state]: Task: pickle_node4, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:13:16 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|continue_workgraph]: tasks ready to run: add_x_and_y1\n",
+      "03/22/2025 05:13:16 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 33\n",
+      "03/22/2025 05:13:23 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|update_task_state]: Task: add_x_and_y1, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:13:24 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|continue_workgraph]: tasks ready to run: add_x_and_y_and_z2\n",
+      "03/22/2025 05:13:25 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 46\n",
+      "03/22/2025 05:13:32 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|update_task_state]: Task: add_x_and_y_and_z2, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:13:32 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:13:32 PM <12689> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [3|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+     ]
+    }
+   ],
+   "source": [
+    "wg.run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c942094-61b4-4e94-859a-64f87b5bec64",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with pyiron_base"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "40672826-23bf-4c24-84e2-a6b9d87e2a3f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyiron_base import Project"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ea102341-84f7-4156-a7d1-c3ab1ea613a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from python_workflow_definition.pyiron_base import load_workflow_json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "f45684a8-2613-415a-ab0a-5cb2bafaffea",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0a8547ce309a493fb1c5c1d102006e82",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "0it [00:00, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pr = Project(\"test\")\n",
+    "pr.remove_jobs(recursive=True, silently=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "8f2a621d-b533-4ddd-8bcd-c22db2f922ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"1805pt\" height=\"188pt\" viewBox=\"0.00 0.00 1804.87 188.00\">\n",
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+       "</svg>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.SVG object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "delayed_object = load_workflow_json(project=pr, file_name=workflow_json_filename)\n",
+    "delayed_object.draw()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "cf80267d-c2b0-4236-bf1d-a57596985fc1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The job add_x_and_y_68901482a2c5221cc845f828aabebd27 was saved and received the ID: 8\n",
+      "The job add_x_and_y_and_z_b671e81aaa4670d81d7eee509650af8d was saved and received the ID: 9\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "6"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "delayed_object.pull()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d819ed0-689c-46a7-9eff-0afb5ed66efc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/pyiron_base_qe.ipynb b/pyiron_base_qe.ipynb
index 574099b..59f6206 100644
--- a/pyiron_base_qe.ipynb
+++ b/pyiron_base_qe.ipynb
@@ -1,471 +1,889 @@
 {
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.8"
-  }
- },
- "nbformat_minor": 5,
- "nbformat": 4,
  "cells": [
   {
-   "id": "be2d61b0-0d47-4349-b4b0-1b767c961644",
    "cell_type": "markdown",
-   "source": "# Quantum Espresso Energy Volume Curve Workflow with pyiron_base",
-   "metadata": {}
+   "id": "be2d61b0-0d47-4349-b4b0-1b767c961644",
+   "metadata": {},
+   "source": [
+    "# Quantum Espresso Energy Volume Curve Workflow with pyiron_base"
+   ]
   },
   {
-   "id": "0bad2a57-1bd2-4837-94fe-f8c60e211fae",
    "cell_type": "markdown",
-   "source": "## Define workflow with pyiron_base",
-   "metadata": {}
+   "id": "0bad2a57-1bd2-4837-94fe-f8c60e211fae",
+   "metadata": {},
+   "source": [
+    "## Define workflow with pyiron_base"
+   ]
   },
   {
-   "id": "a2ed2608-9e1b-4a81-81cb-5079573ea2d1",
    "cell_type": "code",
-   "source": "import numpy as np\nfrom pyiron_base import Project, job\nfrom python_workflow_definition.pyiron_base import write_workflow_json",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 1,
+   "id": "a2ed2608-9e1b-4a81-81cb-5079573ea2d1",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 1
+   "source": [
+    "import numpy as np\n",
+    "from pyiron_base import Project, job\n",
+    "from python_workflow_definition.pyiron_base import write_workflow_json"
+   ]
   },
   {
-   "id": "b75c2530-9b89-4185-838f-a17e517fa68f",
    "cell_type": "code",
-   "source": "from quantum_espresso_workflow import (\n    calculate_qe as _calculate_qe, \n    generate_structures as _generate_structures, \n    get_bulk_structure as _get_bulk_structure, \n    plot_energy_volume_curve as _plot_energy_volume_curve,\n)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 2,
+   "id": "b75c2530-9b89-4185-838f-a17e517fa68f",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 2
+   "source": [
+    "from quantum_espresso_workflow import (\n",
+    "    calculate_qe as _calculate_qe, \n",
+    "    generate_structures as _generate_structures, \n",
+    "    get_bulk_structure as _get_bulk_structure, \n",
+    "    plot_energy_volume_curve as _plot_energy_volume_curve,\n",
+    ")"
+   ]
   },
   {
-   "id": "07a950ca",
    "cell_type": "code",
-   "source": "workflow_json_filename = \"pyiron_base_qe.json\"",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 3,
+   "id": "07a950ca",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 3
+   "source": [
+    "workflow_json_filename = \"pyiron_base_qe.json\""
+   ]
   },
   {
-   "id": "208ddfb8-dfda-4227-aa1f-3dc29e34ea82",
    "cell_type": "code",
-   "source": "calculate_qe = job(_calculate_qe, output_key_lst=[\"energy\", \"volume\", \"structure\"])\ngenerate_structures = job(_generate_structures)\nplot_energy_volume_curve = job(_plot_energy_volume_curve)\nget_bulk_structure = job(_get_bulk_structure)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 4,
+   "id": "208ddfb8-dfda-4227-aa1f-3dc29e34ea82",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 4
+   "source": [
+    "calculate_qe = job(_calculate_qe, output_key_lst=[\"energy\", \"volume\", \"structure\"])\n",
+    "generate_structures = job(_generate_structures)\n",
+    "plot_energy_volume_curve = job(_plot_energy_volume_curve)\n",
+    "get_bulk_structure = job(_get_bulk_structure)"
+   ]
   },
   {
-   "id": "5071d3a0-7c1f-44c5-85e0-dede1566c10c",
    "cell_type": "code",
-   "source": "pseudopotentials = {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 5,
+   "id": "5071d3a0-7c1f-44c5-85e0-dede1566c10c",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 5
+   "source": [
+    "pseudopotentials = {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}"
+   ]
   },
   {
-   "id": "13debfcd-362d-4fd0-a91f-5ab33632fceb",
    "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 6,
+   "id": "13debfcd-362d-4fd0-a91f-5ab33632fceb",
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "02502d277bff46be94b6eba7a2d64f98",
+       "model_id": "a6668170c6044029acd21bbd6c02619a",
        "version_major": 2,
        "version_minor": 0
       },
-      "text/plain": "0it [00:00, ?it/s]"
+      "text/plain": [
+       "0it [00:00, ?it/s]"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 6
+   "source": [
+    "pr = Project(\"test\")\n",
+    "pr.remove_jobs(recursive=True, silently=True)"
+   ]
   },
   {
-   "id": "1f1cb12f-4001-478d-8ea0-b369f4f2981a",
    "cell_type": "code",
-   "source": "structure = get_bulk_structure(\n    element=\"Al\",\n    a=4.05,\n    cubic=True,\n    pyiron_project=pr,\n)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 7,
+   "id": "1f1cb12f-4001-478d-8ea0-b369f4f2981a",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 7
+   "source": [
+    "structure = get_bulk_structure(\n",
+    "    element=\"Al\",\n",
+    "    a=4.05,\n",
+    "    cubic=True,\n",
+    "    pyiron_project=pr,\n",
+    ")"
+   ]
   },
   {
-   "id": "4140f07b-af54-41ef-be22-df6b5b53bf95",
    "cell_type": "code",
-   "source": "calc_mini = calculate_qe(\n    working_directory=\"mini\",\n    input_dict={\n        \"structure\": structure,\n        \"pseudopotentials\": pseudopotentials,\n        \"kpts\": (3, 3, 3),\n        \"calculation\": \"vc-relax\",\n        \"smearing\": 0.02,\n    },\n    pyiron_project=pr,\n)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 8,
+   "id": "4140f07b-af54-41ef-be22-df6b5b53bf95",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 8
+   "source": [
+    "calc_mini = calculate_qe(\n",
+    "    working_directory=\"mini\",\n",
+    "    input_dict={\n",
+    "        \"structure\": structure,\n",
+    "        \"pseudopotentials\": pseudopotentials,\n",
+    "        \"kpts\": (3, 3, 3),\n",
+    "        \"calculation\": \"vc-relax\",\n",
+    "        \"smearing\": 0.02,\n",
+    "    },\n",
+    "    pyiron_project=pr,\n",
+    ")"
+   ]
   },
   {
-   "id": "3c4dae11-8750-42d5-807c-cd19f2b65706",
    "cell_type": "code",
-   "source": "number_of_strains = 5\nstructure_lst = generate_structures(  # the generate_structures() function is not available in the workflow graph\n    structure=calc_mini.output.structure,\n    strain_lst=np.linspace(0.9, 1.1, number_of_strains),\n    pyiron_project=pr,\n    list_length=number_of_strains,\n)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 9,
+   "id": "3c4dae11-8750-42d5-807c-cd19f2b65706",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 9
+   "source": [
+    "number_of_strains = 5\n",
+    "structure_lst = generate_structures(  # the generate_structures() function is not available in the workflow graph\n",
+    "    structure=calc_mini.output.structure,\n",
+    "    strain_lst=np.linspace(0.9, 1.1, number_of_strains),\n",
+    "    pyiron_project=pr,\n",
+    "    list_length=number_of_strains,\n",
+    ")"
+   ]
   },
   {
-   "id": "fdf3b62d-6cce-4312-8a5b-057224e36aca",
    "cell_type": "code",
-   "source": "job_strain_lst = []\nfor i, structure_strain in enumerate(structure_lst):\n    calc_strain = calculate_qe(\n        working_directory=\"strain_\" + str(i),\n        input_dict={\n            \"structure\": structure_strain,\n            \"pseudopotentials\": pseudopotentials,\n            \"kpts\": (3, 3, 3),\n            \"calculation\": \"scf\",\n            \"smearing\": 0.02,\n        },\n        pyiron_project=pr,\n    )\n    job_strain_lst.append(calc_strain)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 10,
+   "id": "fdf3b62d-6cce-4312-8a5b-057224e36aca",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 10
+   "source": [
+    "job_strain_lst = []\n",
+    "for i, structure_strain in enumerate(structure_lst):\n",
+    "    calc_strain = calculate_qe(\n",
+    "        working_directory=\"strain_\" + str(i),\n",
+    "        input_dict={\n",
+    "            \"structure\": structure_strain,\n",
+    "            \"pseudopotentials\": pseudopotentials,\n",
+    "            \"kpts\": (3, 3, 3),\n",
+    "            \"calculation\": \"scf\",\n",
+    "            \"smearing\": 0.02,\n",
+    "        },\n",
+    "        pyiron_project=pr,\n",
+    "    )\n",
+    "    job_strain_lst.append(calc_strain)"
+   ]
   },
   {
-   "id": "b2823306-0a8a-4ae6-bb1f-104e90e2fe41",
    "cell_type": "code",
-   "source": "plot = plot_energy_volume_curve(\n    volume_lst=[job.output.volume for job in job_strain_lst],\n    energy_lst=[job.output.energy for job in job_strain_lst],\n    pyiron_project=pr,\n)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 11,
+   "id": "b2823306-0a8a-4ae6-bb1f-104e90e2fe41",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 11
+   "source": [
+    "plot = plot_energy_volume_curve(\n",
+    "    volume_lst=[job.output.volume for job in job_strain_lst],\n",
+    "    energy_lst=[job.output.energy for job in job_strain_lst],\n",
+    "    pyiron_project=pr,\n",
+    ")"
+   ]
   },
   {
-   "id": "52646121-335f-48e6-bd5e-a1d69d00e8bc",
    "cell_type": "code",
-   "source": "write_workflow_json(delayed_object=plot, file_name=workflow_json_filename)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 12,
+   "id": "52646121-335f-48e6-bd5e-a1d69d00e8bc",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 12
+   "source": [
+    "write_workflow_json(delayed_object=plot, file_name=workflow_json_filename)"
+   ]
   },
   {
-   "id": "72c8e6e6-8e60-4a4f-81f3-968b4b5f36ee",
    "cell_type": "code",
-   "source": "!cat {workflow_json_filename}",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 13,
+   "id": "72c8e6e6-8e60-4a4f-81f3-968b4b5f36ee",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "{\"nodes\": {\"0\": \"quantum_espresso_workflow.plot_energy_volume_curve\", \"1\": \"python_workflow_definition.shared.get_list\", \"2\": \"quantum_espresso_workflow.calculate_qe\", \"3\": \"python_workflow_definition.shared.get_dict\", \"4\": \"quantum_espresso_workflow.generate_structures\", \"5\": \"quantum_espresso_workflow.calculate_qe\", \"6\": \"python_workflow_definition.shared.get_dict\", \"7\": \"quantum_espresso_workflow.get_bulk_structure\", \"8\": \"quantum_espresso_workflow.calculate_qe\", \"9\": \"python_workflow_definition.shared.get_dict\", \"10\": \"quantum_espresso_workflow.calculate_qe\", \"11\": \"python_workflow_definition.shared.get_dict\", \"12\": \"quantum_espresso_workflow.calculate_qe\", \"13\": \"python_workflow_definition.shared.get_dict\", \"14\": \"quantum_espresso_workflow.calculate_qe\", \"15\": \"python_workflow_definition.shared.get_dict\", \"16\": \"python_workflow_definition.shared.get_list\", \"17\": \"strain_0\", \"18\": \"mini\", \"19\": \"Al\", \"20\": 4.05, \"21\": true, \"22\": {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}, \"23\": [3, 3, 3], \"24\": \"vc-relax\", \"25\": 0.02, \"26\": [0.9, 0.9500000000000001, 1.0, 1.05, 1.1], \"27\": \"scf\", \"28\": \"strain_1\", \"29\": \"strain_2\", \"30\": \"strain_3\", \"31\": \"strain_4\"}, \"edges\": [{\"target\": 0, \"targetHandle\": \"volume_lst\", \"source\": 1, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"0\", \"source\": 2, \"sourceHandle\": \"volume\"}, {\"target\": 2, \"targetHandle\": \"working_directory\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 2, \"targetHandle\": \"input_dict\", \"source\": 3, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_0\"}, {\"target\": 4, \"targetHandle\": \"structure\", \"source\": 5, \"sourceHandle\": \"structure\"}, {\"target\": 5, \"targetHandle\": \"working_directory\", \"source\": 18, \"sourceHandle\": null}, {\"target\": 5, \"targetHandle\": \"input_dict\", \"source\": 6, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"structure\", \"source\": 7, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"element\", \"source\": 19, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"a\", \"source\": 20, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"cubic\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"calculation\", \"source\": 24, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 4, \"targetHandle\": \"strain_lst\", \"source\": 26, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"1\", \"source\": 8, \"sourceHandle\": \"volume\"}, {\"target\": 8, \"targetHandle\": \"working_directory\", \"source\": 28, \"sourceHandle\": null}, {\"target\": 8, \"targetHandle\": \"input_dict\", \"source\": 9, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_1\"}, {\"target\": 9, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"2\", \"source\": 10, \"sourceHandle\": \"volume\"}, {\"target\": 10, \"targetHandle\": \"working_directory\", \"source\": 29, \"sourceHandle\": null}, {\"target\": 10, \"targetHandle\": \"input_dict\", \"source\": 11, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_2\"}, {\"target\": 11, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"3\", \"source\": 12, \"sourceHandle\": \"volume\"}, {\"target\": 12, \"targetHandle\": \"working_directory\", \"source\": 30, \"sourceHandle\": null}, {\"target\": 12, \"targetHandle\": \"input_dict\", \"source\": 13, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_3\"}, {\"target\": 13, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"4\", \"source\": 14, \"sourceHandle\": \"volume\"}, {\"target\": 14, \"targetHandle\": \"working_directory\", \"source\": 31, \"sourceHandle\": null}, {\"target\": 14, \"targetHandle\": \"input_dict\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_4\"}, {\"target\": 15, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"energy_lst\", \"source\": 16, \"sourceHandle\": null}, {\"target\": 16, \"targetHandle\": \"0\", \"source\": 2, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"1\", \"source\": 8, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"2\", \"source\": 10, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"3\", \"source\": 12, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"4\", \"source\": 14, \"sourceHandle\": \"energy\"}]}"
+     "text": [
+      "{\"nodes\": {\"0\": \"quantum_espresso_workflow.plot_energy_volume_curve\", \"1\": \"python_workflow_definition.shared.get_list\", \"2\": \"quantum_espresso_workflow.calculate_qe\", \"3\": \"python_workflow_definition.shared.get_dict\", \"4\": \"quantum_espresso_workflow.generate_structures\", \"5\": \"quantum_espresso_workflow.calculate_qe\", \"6\": \"python_workflow_definition.shared.get_dict\", \"7\": \"quantum_espresso_workflow.get_bulk_structure\", \"8\": \"quantum_espresso_workflow.calculate_qe\", \"9\": \"python_workflow_definition.shared.get_dict\", \"10\": \"quantum_espresso_workflow.calculate_qe\", \"11\": \"python_workflow_definition.shared.get_dict\", \"12\": \"quantum_espresso_workflow.calculate_qe\", \"13\": \"python_workflow_definition.shared.get_dict\", \"14\": \"quantum_espresso_workflow.calculate_qe\", \"15\": \"python_workflow_definition.shared.get_dict\", \"16\": \"python_workflow_definition.shared.get_list\", \"17\": \"strain_0\", \"18\": \"mini\", \"19\": \"Al\", \"20\": 4.05, \"21\": true, \"22\": {\"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"}, \"23\": [3, 3, 3], \"24\": \"vc-relax\", \"25\": 0.02, \"26\": [0.9, 0.9500000000000001, 1.0, 1.05, 1.1], \"27\": \"scf\", \"28\": \"strain_1\", \"29\": \"strain_2\", \"30\": \"strain_3\", \"31\": \"strain_4\"}, \"edges\": [{\"target\": 0, \"targetHandle\": \"volume_lst\", \"source\": 1, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"0\", \"source\": 2, \"sourceHandle\": \"volume\"}, {\"target\": 2, \"targetHandle\": \"working_directory\", \"source\": 17, \"sourceHandle\": null}, {\"target\": 2, \"targetHandle\": \"input_dict\", \"source\": 3, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_0\"}, {\"target\": 4, \"targetHandle\": \"structure\", \"source\": 5, \"sourceHandle\": \"structure\"}, {\"target\": 5, \"targetHandle\": \"working_directory\", \"source\": 18, \"sourceHandle\": null}, {\"target\": 5, \"targetHandle\": \"input_dict\", \"source\": 6, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"structure\", \"source\": 7, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"element\", \"source\": 19, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"a\", \"source\": 20, \"sourceHandle\": null}, {\"target\": 7, \"targetHandle\": \"cubic\", \"source\": 21, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"calculation\", \"source\": 24, \"sourceHandle\": null}, {\"target\": 6, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 4, \"targetHandle\": \"strain_lst\", \"source\": 26, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 3, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"1\", \"source\": 8, \"sourceHandle\": \"volume\"}, {\"target\": 8, \"targetHandle\": \"working_directory\", \"source\": 28, \"sourceHandle\": null}, {\"target\": 8, \"targetHandle\": \"input_dict\", \"source\": 9, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_1\"}, {\"target\": 9, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 9, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"2\", \"source\": 10, \"sourceHandle\": \"volume\"}, {\"target\": 10, \"targetHandle\": \"working_directory\", \"source\": 29, \"sourceHandle\": null}, {\"target\": 10, \"targetHandle\": \"input_dict\", \"source\": 11, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_2\"}, {\"target\": 11, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 11, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"3\", \"source\": 12, \"sourceHandle\": \"volume\"}, {\"target\": 12, \"targetHandle\": \"working_directory\", \"source\": 30, \"sourceHandle\": null}, {\"target\": 12, \"targetHandle\": \"input_dict\", \"source\": 13, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_3\"}, {\"target\": 13, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 13, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"4\", \"source\": 14, \"sourceHandle\": \"volume\"}, {\"target\": 14, \"targetHandle\": \"working_directory\", \"source\": 31, \"sourceHandle\": null}, {\"target\": 14, \"targetHandle\": \"input_dict\", \"source\": 15, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"structure\", \"source\": 4, \"sourceHandle\": \"s_4\"}, {\"target\": 15, \"targetHandle\": \"pseudopotentials\", \"source\": 22, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"kpts\", \"source\": 23, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"calculation\", \"source\": 27, \"sourceHandle\": null}, {\"target\": 15, \"targetHandle\": \"smearing\", \"source\": 25, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"energy_lst\", \"source\": 16, \"sourceHandle\": null}, {\"target\": 16, \"targetHandle\": \"0\", \"source\": 2, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"1\", \"source\": 8, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"2\", \"source\": 10, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"3\", \"source\": 12, \"sourceHandle\": \"energy\"}, {\"target\": 16, \"targetHandle\": \"4\", \"source\": 14, \"sourceHandle\": \"energy\"}]}"
+     ]
     }
    ],
-   "execution_count": 13
+   "source": [
+    "!cat {workflow_json_filename}"
+   ]
   },
   {
-   "id": "7d75a2f6-6fad-49c8-bd29-37cca1b84441",
    "cell_type": "markdown",
-   "source": "## Load Workflow with aiida",
-   "metadata": {}
+   "id": "7d75a2f6-6fad-49c8-bd29-37cca1b84441",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with aiida"
+   ]
   },
   {
-   "id": "28760464-2a2c-40c2-9451-20713da2ba2c",
    "cell_type": "code",
-   "source": "from aiida import load_profile\n\nload_profile()",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 14,
+   "id": "28760464-2a2c-40c2-9451-20713da2ba2c",
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "Profile<uuid='0911f03384b24f139c7cf96149242165' name='adis'>"
+      "text/plain": [
+       "Profile<uuid='c08748df7ab74ec08c14e5f16cebc987' name='pwd'>"
+      ]
      },
      "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 14
-  },
-  {
-   "id": "9e8043aa-dc65-42ba-9871-0714f7f2573b",
-   "cell_type": "code",
-   "source": "",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": null
+   "source": [
+    "from aiida import load_profile\n",
+    "\n",
+    "load_profile()"
+   ]
   },
   {
-   "id": "b9c0c6e1-a62c-41e6-a9ce-1c010c797e70",
    "cell_type": "code",
-   "source": "",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": null
-  },
-  {
+   "execution_count": 15,
    "id": "a442fe46-057c-469b-a5e0-173ed4829dfb",
-   "cell_type": "code",
-   "source": "from python_workflow_definition.aiida import load_workflow_json",
-   "metadata": {
-    "trusted": true
-   },
+   "metadata": {},
    "outputs": [],
-   "execution_count": 15
+   "source": [
+    "from python_workflow_definition.aiida import load_workflow_json"
+   ]
   },
   {
-   "id": "32fcd4b2-4f0a-442d-b098-827672823796",
    "cell_type": "code",
-   "source": "wg = load_workflow_json(file_name=workflow_json_filename)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 16,
+   "id": "32fcd4b2-4f0a-442d-b098-827672823796",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 16
+   "source": [
+    "wg = load_workflow_json(file_name=workflow_json_filename)"
+   ]
   },
   {
-   "id": "a80b59bd-fe30-49c6-92ca-35ef2d77a6fb",
    "cell_type": "code",
-   "source": "result = wg.run()",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 17,
+   "id": "a80b59bd-fe30-49c6-92ca-35ef2d77a6fb",
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:06 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/22/2025 08:34:07 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node18,pickle_node19,pickle_node20,pickle_node21,pickle_node22,pickle_node23,pickle_node24,pickle_node25,pickle_node26,pickle_node27,pickle_node28,pickle_node29,pickle_node30,pickle_node31,pickle_node32\n03/22/2025 08:34:07 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node18, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:45:47 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node18,pickle_node19,pickle_node20,pickle_node21,pickle_node22,pickle_node23,pickle_node24,pickle_node25,pickle_node26,pickle_node27,pickle_node28,pickle_node29,pickle_node30,pickle_node31,pickle_node32\n",
+      "03/22/2025 05:46:07 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 712, 719, 726, 733, 740, 747, 754, 761, 768, 775, 782, 789, 796, 803, 810\n",
+      "03/22/2025 05:47:16 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node18, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:47:17 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node19, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:47:17 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node20, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:47:18 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node21, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'strain_0'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:08 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node19, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:18 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node22, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'mini'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:09 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node20, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:19 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node23, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'Al'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:09 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node21, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:19 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node24, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 4.05}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:10 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node22, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:20 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node25, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': True}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:11 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node23, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:20 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node26, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:12 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node24, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:21 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node27, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': [3, 3, 3]}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:13 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node25, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:21 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node28, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'vc-relax'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:14 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node26, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:22 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node29, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 0.02}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:15 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node27, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:22 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node30, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': [0.9, 0.95, 1.0, 1.05, 1.1]}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:16 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node28, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:23 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node31, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'scf'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:17 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node29, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:23 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: pickle_node32, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'strain_1'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:17 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node30, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:47:28 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_bulk_structure8\n",
+      "03/22/2025 05:47:31 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 877\n",
+      "03/22/2025 05:47:42 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_bulk_structure8, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:47:48 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict7\n",
+      "03/22/2025 05:47:51 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 888\n",
+      "03/22/2025 05:48:02 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_dict7, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:48:07 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe6\n",
+      "03/22/2025 05:48:10 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 899\n",
+      "03/22/2025 05:48:47 PM <166198> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['energy', 'volume'])\n",
+      "03/22/2025 05:48:48 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: calculate_qe6, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:48:53 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: generate_structures5\n",
+      "03/22/2025 05:48:56 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 910\n",
+      "03/22/2025 05:49:07 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: generate_structures5, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:49:12 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_dict4,get_dict10,get_dict12,get_dict14,get_dict16\n",
+      "03/22/2025 05:49:21 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 925, 932, 939, 946, 953\n",
+      "03/22/2025 05:49:48 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_dict4, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:49:49 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_dict10, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'strain_2'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:18 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node31, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:49:49 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_dict12, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'strain_3'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:20 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|run_tasks]: Run task: pickle_node32, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:49:50 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_dict14, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 'strain_4'}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:34:21 AM <193> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [16|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 25, 33, 41, 49, 57, 65, 73, 81, 89, 97, 105, 113, 121, 129, 137\n03/22/2025 08:34:37 AM <193> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:34:37 AM <193> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-62' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:34:57 AM <193> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-63' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:34:57 AM <193> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-64' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:34:57 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:35:37 AM <193> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-65' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:35:37 AM <193> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-66' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:35:37 AM <193> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-67' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:35:37 AM <193> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 3 of do_update excepted, retrying after 80 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n"
+     "text": [
+      "03/22/2025 05:49:51 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_dict16, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:49:56 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: calculate_qe3,calculate_qe9,calculate_qe11,calculate_qe13,calculate_qe15\n",
+      "03/22/2025 05:50:04 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 980, 987, 994, 1001, 1008\n",
+      "03/22/2025 05:50:33 PM <166198> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:50:34 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: calculate_qe3, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:50:39 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:50:41 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 987, 994, 1001, 1008\n",
+      "03/22/2025 05:50:49 PM <166198> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:50:50 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: calculate_qe9, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:50:57 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:50:59 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 994, 1001, 1008\n",
+      "03/22/2025 05:51:08 PM <166198> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:51:08 PM <166198> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:51:09 PM <166198> aiida.parser.PythonJobParser: [WARNING] Found extra results that are not included in the output: dict_keys(['structure'])\n",
+      "03/22/2025 05:51:09 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: calculate_qe11, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:51:10 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: calculate_qe13, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:51:10 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: calculate_qe15, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:51:15 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: get_list2,get_list17\n",
+      "03/22/2025 05:51:20 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 1040, 1047\n",
+      "03/22/2025 05:51:35 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_list2, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:51:36 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: get_list17, type: PYTHONJOB, finished.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "invalid state\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "03/22/2025 05:51:41 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: plot_energy_volume_curve1\n",
+      "03/22/2025 05:51:44 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 1062\n",
+      "03/22/2025 05:51:55 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|update_task_state]: Task: plot_energy_volume_curve1, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:52:00 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:52:02 PM <166198> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [705|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+     ]
     }
    ],
-   "execution_count": null
+   "source": [
+    "result = wg.run()"
+   ]
   },
   {
-   "id": "6a8d1a17-3698-4873-8937-616e9e7dc7ca",
    "cell_type": "code",
-   "source": "from IPython.display import Image, display\n\nplot_task = [t for t in wg.tasks if t.name.startswith('plot_energy_volume_curve')][0]\nplot_file = f\"{plot_task.node.get_remote_workdir()}/evcurve.png\"\n\ndisplay(Image(filename=str(plot_file)))\n",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": null
+   "execution_count": 18,
+   "id": "6a8d1a17-3698-4873-8937-616e9e7dc7ca",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image, display\n",
+    "\n",
+    "plot_task = [t for t in wg.tasks if t.name.startswith('plot_energy_volume_curve')][0]\n",
+    "plot_file = f\"{plot_task.node.get_remote_workdir()}/evcurve.png\"\n",
+    "\n",
+    "display(Image(filename=str(plot_file)))\n"
+   ]
   },
   {
-   "id": "c4f5c047-c6da-4b54-9007-415faca7a448",
    "cell_type": "markdown",
-   "source": "## Load Workflow with jobflow",
-   "metadata": {}
+   "id": "c4f5c047-c6da-4b54-9007-415faca7a448",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with jobflow"
+   ]
   },
   {
-   "id": "b8e3c2ca-2672-4e9d-aada-63344842dbcf",
    "cell_type": "code",
-   "source": "from python_workflow_definition.jobflow import load_workflow_json",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": null
+   "execution_count": 19,
+   "id": "b8e3c2ca-2672-4e9d-aada-63344842dbcf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"cipher\": algorithms.TripleDES,\n",
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"class\": algorithms.TripleDES,\n"
+     ]
+    }
+   ],
+   "source": [
+    "from python_workflow_definition.jobflow import load_workflow_json"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
+   "execution_count": 20,
+   "id": "54a24ff6c569094e",
+   "metadata": {},
    "outputs": [],
-   "execution_count": null,
-   "source": "from jobflow.managers.local import run_locally",
-   "id": "54a24ff6c569094e"
+   "source": [
+    "from jobflow.managers.local import run_locally"
+   ]
   },
   {
-   "id": "48a27146-7372-40ab-8b02-e2a9283d4748",
    "cell_type": "code",
-   "source": "flow = load_workflow_json(file_name=workflow_json_filename)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 21,
+   "id": "48a27146-7372-40ab-8b02-e2a9283d4748",
+   "metadata": {},
    "outputs": [],
-   "execution_count": null
+   "source": [
+    "flow = load_workflow_json(file_name=workflow_json_filename)"
+   ]
   },
   {
-   "id": "98fa5694-2cc6-44e9-a6e7-2cc71b4f48ce",
    "cell_type": "code",
-   "source": "result = run_locally(flow)\nresult",
-   "metadata": {
-    "trusted": true
+   "execution_count": 22,
+   "id": "98fa5694-2cc6-44e9-a6e7-2cc71b4f48ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:52:08,581 INFO Started executing jobs locally\n",
+      "2025-03-22 17:52:08,776 INFO Starting job - get_bulk_structure (b9442893-363a-41f1-bd3e-2c2f78ef15c6)\n",
+      "2025-03-22 17:52:08,782 INFO Finished job - get_bulk_structure (b9442893-363a-41f1-bd3e-2c2f78ef15c6)\n",
+      "2025-03-22 17:52:08,783 INFO Starting job - get_dict (918c0c42-b666-4be7-a054-0988ced41e6d)\n",
+      "2025-03-22 17:52:08,786 INFO Finished job - get_dict (918c0c42-b666-4be7-a054-0988ced41e6d)\n",
+      "2025-03-22 17:52:08,786 INFO Starting job - calculate_qe (1ed31005-a7b0-49d2-b8c2-1b94b0ec2f1f)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:52:34,281 INFO Finished job - calculate_qe (1ed31005-a7b0-49d2-b8c2-1b94b0ec2f1f)\n",
+      "2025-03-22 17:52:34,281 INFO Starting job - generate_structures (c9f14676-8efa-4f5f-b586-6017a11a4a6c)\n",
+      "2025-03-22 17:52:34,288 INFO Finished job - generate_structures (c9f14676-8efa-4f5f-b586-6017a11a4a6c)\n",
+      "2025-03-22 17:52:34,289 INFO Starting job - get_dict (0a20a1b7-b152-4de6-bd89-75e85b1b0376)\n",
+      "2025-03-22 17:52:34,291 INFO Finished job - get_dict (0a20a1b7-b152-4de6-bd89-75e85b1b0376)\n",
+      "2025-03-22 17:52:34,292 INFO Starting job - get_dict (f21744e3-7be8-4a38-9dc1-bad7ccd96680)\n",
+      "2025-03-22 17:52:34,294 INFO Finished job - get_dict (f21744e3-7be8-4a38-9dc1-bad7ccd96680)\n",
+      "2025-03-22 17:52:34,295 INFO Starting job - get_dict (98b6aa5b-eb82-48f1-b20c-9e466bcb4ea9)\n",
+      "2025-03-22 17:52:34,296 INFO Finished job - get_dict (98b6aa5b-eb82-48f1-b20c-9e466bcb4ea9)\n",
+      "2025-03-22 17:52:34,297 INFO Starting job - get_dict (078fe358-13fa-4e26-9ee4-7def6dedef56)\n",
+      "2025-03-22 17:52:34,299 INFO Finished job - get_dict (078fe358-13fa-4e26-9ee4-7def6dedef56)\n",
+      "2025-03-22 17:52:34,301 INFO Starting job - get_dict (9d23a203-f275-44ec-8ffb-7264aa2b69cf)\n",
+      "2025-03-22 17:52:34,303 INFO Finished job - get_dict (9d23a203-f275-44ec-8ffb-7264aa2b69cf)\n",
+      "2025-03-22 17:52:34,303 INFO Starting job - calculate_qe (d7cb4651-5ff6-4690-8f43-8d8e8d6fcacf)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:52:39,498 INFO Finished job - calculate_qe (d7cb4651-5ff6-4690-8f43-8d8e8d6fcacf)\n",
+      "2025-03-22 17:52:39,499 INFO Starting job - calculate_qe (38988913-354d-4b93-ad21-21a90f4f4149)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:52:45,103 INFO Finished job - calculate_qe (38988913-354d-4b93-ad21-21a90f4f4149)\n",
+      "2025-03-22 17:52:45,104 INFO Starting job - calculate_qe (f053b6d4-2efb-445d-8355-33fc6f8d4a5d)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:52:51,529 INFO Finished job - calculate_qe (f053b6d4-2efb-445d-8355-33fc6f8d4a5d)\n",
+      "2025-03-22 17:52:51,530 INFO Starting job - calculate_qe (f6139f33-9dbe-4cee-89ba-d1f8191d2472)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:52:58,084 INFO Finished job - calculate_qe (f6139f33-9dbe-4cee-89ba-d1f8191d2472)\n",
+      "2025-03-22 17:52:58,085 INFO Starting job - calculate_qe (f1a42386-512a-4a8b-9e2a-933ac5e2e79b)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Note: The following floating-point exceptions are signalling: IEEE_INVALID_FLAG\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:53:02,869 INFO Finished job - calculate_qe (f1a42386-512a-4a8b-9e2a-933ac5e2e79b)\n",
+      "2025-03-22 17:53:02,869 INFO Starting job - get_list (ee146a68-3dcc-4d85-893e-b09d110ece18)\n",
+      "2025-03-22 17:53:02,874 INFO Finished job - get_list (ee146a68-3dcc-4d85-893e-b09d110ece18)\n",
+      "2025-03-22 17:53:02,875 INFO Starting job - get_list (26c932cb-d3d6-4858-9fee-d984f1a9c4a3)\n",
+      "2025-03-22 17:53:02,879 INFO Finished job - get_list (26c932cb-d3d6-4858-9fee-d984f1a9c4a3)\n",
+      "2025-03-22 17:53:02,879 INFO Starting job - plot_energy_volume_curve (c5b9b217-8c37-4183-b47a-4d27a949d6b3)\n",
+      "2025-03-22 17:53:03,148 INFO Finished job - plot_energy_volume_curve (c5b9b217-8c37-4183-b47a-4d27a949d6b3)\n",
+      "2025-03-22 17:53:03,149 INFO Finished executing jobs locally\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
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+       " '26c932cb-d3d6-4858-9fee-d984f1a9c4a3': {1: Response(output=[59.59410625267965, 62.90488993338408, 66.21567361408847, 69.52645729479259, 72.83724097549725], detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jan/notebooks/2025/2025-03-22-compare-workflows'))},\n",
+       " 'c5b9b217-8c37-4183-b47a-4d27a949d6b3': {1: Response(output=None, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jan/notebooks/2025/2025-03-22-compare-workflows'))}}"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "result = run_locally(flow)\n",
+    "result"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
    },
-   "outputs": [],
-   "execution_count": null
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
   }
- ]
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }
diff --git a/pyiron_base_simple.ipynb b/pyiron_base_simple.ipynb
index 4f24461..e0f9ce0 100644
--- a/pyiron_base_simple.ipynb
+++ b/pyiron_base_simple.ipynb
@@ -1,305 +1,372 @@
 {
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.8"
-  }
- },
- "nbformat_minor": 5,
- "nbformat": 4,
  "cells": [
   {
-   "id": "c39b76fb-259f-4e16-a44d-02a295c82386",
    "cell_type": "markdown",
-   "source": "# Simple Workflow with pyiron_base",
-   "metadata": {}
+   "id": "c39b76fb-259f-4e16-a44d-02a295c82386",
+   "metadata": {},
+   "source": [
+    "# Simple Workflow with pyiron_base"
+   ]
   },
   {
-   "id": "3638419b-a0cb-49e2-b157-7fbb1acde90f",
    "cell_type": "markdown",
-   "source": "## Define workflow with pyiron_base",
-   "metadata": {}
+   "id": "3638419b-a0cb-49e2-b157-7fbb1acde90f",
+   "metadata": {},
+   "source": [
+    "## Define workflow with pyiron_base"
+   ]
   },
   {
-   "id": "b4a78447-e87c-4fb4-8d17-d9a280eb7254",
    "cell_type": "code",
-   "source": "from pyiron_base import Project, job",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 1,
+   "id": "b4a78447-e87c-4fb4-8d17-d9a280eb7254",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 1
+   "source": [
+    "from pyiron_base import Project, job"
+   ]
   },
   {
-   "id": "06c2bd9e-b2ac-4b88-9158-fa37331c3418",
    "cell_type": "code",
-   "source": "from python_workflow_definition.pyiron_base import write_workflow_json",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 2,
+   "id": "06c2bd9e-b2ac-4b88-9158-fa37331c3418",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 2
+   "source": [
+    "from python_workflow_definition.pyiron_base import write_workflow_json"
+   ]
   },
   {
-   "id": "fb847d49-7bf9-4839-9b99-c116d1b0e9ee",
    "cell_type": "code",
-   "source": "from simple_workflow import (\n    add_x_and_y as _add_x_and_y, \n    add_x_and_y_and_z as _add_x_and_y_and_z,\n)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 3,
+   "id": "fb847d49-7bf9-4839-9b99-c116d1b0e9ee",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 3
+   "source": [
+    "from simple_workflow import (\n",
+    "    add_x_and_y as _add_x_and_y, \n",
+    "    add_x_and_y_and_z as _add_x_and_y_and_z,\n",
+    ")"
+   ]
   },
   {
-   "id": "8f95244e",
    "cell_type": "code",
-   "source": "workflow_json_filename = \"pyiron_base_simple.json\"",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 4,
+   "id": "8f95244e",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 4
+   "source": [
+    "workflow_json_filename = \"pyiron_base_simple.json\""
+   ]
   },
   {
-   "id": "07598344-0f75-433b-8902-bea21a42088c",
    "cell_type": "code",
-   "source": "add_x_and_y = job(_add_x_and_y, output_key_lst=[\"x\", \"y\", \"z\"])\nadd_x_and_y_and_z = job(_add_x_and_y_and_z)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 5,
+   "id": "07598344-0f75-433b-8902-bea21a42088c",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 5
+   "source": [
+    "add_x_and_y = job(_add_x_and_y, output_key_lst=[\"x\", \"y\", \"z\"])\n",
+    "add_x_and_y_and_z = job(_add_x_and_y_and_z)"
+   ]
   },
   {
-   "id": "ecef1ed5-a8d3-48c3-9e01-4a40e55c1153",
    "cell_type": "code",
-   "source": "pr = Project(\"test\")\npr.remove_jobs(recursive=True, silently=True)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 6,
+   "id": "ecef1ed5-a8d3-48c3-9e01-4a40e55c1153",
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "0it [00:00, ?it/s]",
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "eef958d12626414fb2eb17cb6d1e378a",
        "version_major": 2,
-       "version_minor": 0,
-       "model_id": "37f4bde844fc45fc8854dfcdc20cd5cc"
-      }
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/2 [00:00<?, ?it/s]"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 6
+   "source": [
+    "pr = Project(\"test\")\n",
+    "pr.remove_jobs(recursive=True, silently=True)"
+   ]
   },
   {
-   "id": "2b88a30a-e26b-4802-89b7-79ca08cc0af9",
    "cell_type": "code",
-   "source": "obj = add_x_and_y(x=1, y=2, pyiron_project=pr)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 7,
+   "id": "2b88a30a-e26b-4802-89b7-79ca08cc0af9",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 7
+   "source": [
+    "obj = add_x_and_y(x=1, y=2, pyiron_project=pr)"
+   ]
   },
   {
-   "id": "a5e5ca63-2906-47c9-bac6-adebf8643cba",
    "cell_type": "code",
-   "source": "w = add_x_and_y_and_z(x=obj.output.x, y=obj.output.y, z=obj.output.z, pyiron_project=pr)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 8,
+   "id": "a5e5ca63-2906-47c9-bac6-adebf8643cba",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 8
+   "source": [
+    "w = add_x_and_y_and_z(x=obj.output.x, y=obj.output.y, z=obj.output.z, pyiron_project=pr)"
+   ]
   },
   {
-   "id": "e464da97-16a1-4772-9a07-0a47f152781d",
    "cell_type": "code",
-   "source": "write_workflow_json(delayed_object=w, file_name=workflow_json_filename)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 9,
+   "id": "e464da97-16a1-4772-9a07-0a47f152781d",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 9
+   "source": [
+    "write_workflow_json(delayed_object=w, file_name=workflow_json_filename)"
+   ]
   },
   {
-   "id": "bca646b2-0a9a-4271-966a-e5903a8c9031",
    "cell_type": "code",
-   "source": "!cat {workflow_json_filename}",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 10,
+   "id": "bca646b2-0a9a-4271-966a-e5903a8c9031",
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "{\"nodes\": {\"0\": \"simple_workflow.add_x_and_y_and_z\", \"1\": \"simple_workflow.add_x_and_y\", \"2\": 1, \"3\": 2}, \"edges\": [{\"target\": 0, \"targetHandle\": \"x\", \"source\": 1, \"sourceHandle\": \"x\"}, {\"target\": 1, \"targetHandle\": \"x\", \"source\": 2, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"y\", \"source\": 3, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"y\", \"source\": 1, \"sourceHandle\": \"y\"}, {\"target\": 0, \"targetHandle\": \"z\", \"source\": 1, \"sourceHandle\": \"z\"}]}"
+     "text": [
+      "{\"nodes\": {\"0\": \"simple_workflow.add_x_and_y_and_z\", \"1\": \"simple_workflow.add_x_and_y\", \"2\": 1, \"3\": 2}, \"edges\": [{\"target\": 0, \"targetHandle\": \"x\", \"source\": 1, \"sourceHandle\": \"x\"}, {\"target\": 1, \"targetHandle\": \"x\", \"source\": 2, \"sourceHandle\": null}, {\"target\": 1, \"targetHandle\": \"y\", \"source\": 3, \"sourceHandle\": null}, {\"target\": 0, \"targetHandle\": \"y\", \"source\": 1, \"sourceHandle\": \"y\"}, {\"target\": 0, \"targetHandle\": \"z\", \"source\": 1, \"sourceHandle\": \"z\"}]}"
+     ]
     }
    ],
-   "execution_count": 10
+   "source": [
+    "!cat {workflow_json_filename}"
+   ]
   },
   {
-   "id": "a4c0faaf-e30d-4ded-8e9f-57f97f51b14c",
    "cell_type": "markdown",
-   "source": "## Load Workflow with aiida",
-   "metadata": {}
+   "id": "a4c0faaf-e30d-4ded-8e9f-57f97f51b14c",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with aiida"
+   ]
   },
   {
-   "id": "2ecc229f-daa1-49b9-9279-a6b5ae1aa4f2",
    "cell_type": "code",
-   "source": "from aiida import load_profile\n\nload_profile()",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 11,
+   "id": "2ecc229f-daa1-49b9-9279-a6b5ae1aa4f2",
+   "metadata": {},
    "outputs": [
     {
-     "execution_count": 11,
-     "output_type": "execute_result",
      "data": {
-      "text/plain": "Profile<uuid='0911f03384b24f139c7cf96149242165' name='adis'>"
+      "text/plain": [
+       "Profile<uuid='c08748df7ab74ec08c14e5f16cebc987' name='pwd'>"
+      ]
      },
-     "metadata": {}
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
-   "execution_count": 11
+   "source": [
+    "from aiida import load_profile\n",
+    "\n",
+    "load_profile()"
+   ]
   },
   {
-   "id": "68a56b32-9f99-43d7-aaee-0c1cd9522681",
    "cell_type": "code",
-   "source": "from python_workflow_definition.aiida import load_workflow_json",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 12,
+   "id": "68a56b32-9f99-43d7-aaee-0c1cd9522681",
+   "metadata": {},
    "outputs": [],
-   "execution_count": 12
+   "source": [
+    "from python_workflow_definition.aiida import load_workflow_json"
+   ]
   },
   {
-   "id": "8f2a621d-b533-4ddd-8bcd-c22db2f922ec",
    "cell_type": "code",
-   "source": "wg = load_workflow_json(file_name=workflow_json_filename)\nwg",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 13,
+   "id": "8f2a621d-b533-4ddd-8bcd-c22db2f922ec",
+   "metadata": {},
    "outputs": [
     {
-     "execution_count": 13,
-     "output_type": "execute_result",
      "data": {
-      "text/plain": "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…",
       "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a2bef88370ca4a7da692020d2828d425",
        "version_major": 2,
-       "version_minor": 1,
-       "model_id": "09020dadcc3b484883ca641d466aed90"
-      }
+       "version_minor": 1
+      },
+      "text/plain": [
+       "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'WorkGra…"
+      ]
      },
-     "metadata": {}
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
-   "execution_count": 13
+   "source": [
+    "wg = load_workflow_json(file_name=workflow_json_filename)\n",
+    "wg"
+   ]
   },
   {
-   "id": "cf80267d-c2b0-4236-bf1d-a57596985fc1",
    "cell_type": "code",
-   "source": "\nwg.run()",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 14,
+   "id": "cf80267d-c2b0-4236-bf1d-a57596985fc1",
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:38:57 AM <1011> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [172|WorkGraphEngine|continue_workgraph]: Continue workgraph.\n03/22/2025 08:38:57 AM <1011> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [172|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node3,pickle_node4\n03/22/2025 08:38:57 AM <1011> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [172|WorkGraphEngine|run_tasks]: Run task: pickle_node3, type: PYTHONJOB\n"
+     "text": [
+      "03/22/2025 05:14:45 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|continue_workgraph]: tasks ready to run: pickle_node3,pickle_node4\n",
+      "03/22/2025 05:14:47 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 60, 67\n",
+      "03/22/2025 05:14:58 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|update_task_state]: Task: pickle_node3, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:14:58 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|update_task_state]: Task: pickle_node4, type: PYTHONJOB, finished.\n"
+     ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 1}\n"
+     "text": [
+      "invalid state\n"
+     ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
-     "text": "03/22/2025 08:38:58 AM <1011> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [172|WorkGraphEngine|run_tasks]: Run task: pickle_node4, type: PYTHONJOB\n"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": "------------------------------------------------------------\nkwargs:  {'value': 2}\n"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": "03/22/2025 08:38:59 AM <1011> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [172|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 180, 188\n03/22/2025 08:39:01 AM <1011> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:39:01 AM <1011> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-10' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:39:01 AM <1011> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:39:01 AM <1011> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 1 of do_update excepted, retrying after 20 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:39:21 AM <1011> aiida.scheduler.direct: [WARNING] Unrecognized job_state 'p' for job id Activating\n03/22/2025 08:39:21 AM <1011> aiida.engine.transports: [ERROR] Exception whilst using transport:\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/transports.py\", line 106, in request_transport\n    yield transport_request.future\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n\nTask exception was never retrieved\nfuture: <Task finished name='Task-11' coro=<JobsList._ensure_updating.<locals>.updating() done, defined at /srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py:179> exception=IndexError('list index out of range')>\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 314, in __step_run_and_handle_result\n    result = coro.send(None)\n             ^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 181, in updating\n    await self._update_job_info()\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:39:21 AM <1011> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n03/22/2025 08:39:21 AM <1011> aiida.orm.nodes.process.calculation.calcjob.CalcJobNode: [ERROR] iteration 2 of do_update excepted, retrying after 40 seconds\nTraceback (most recent call last):\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 205, in exponential_backoff_retry\n    result = await coro()\n             ^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/tasks.py\", line 195, in do_update\n    job_info = await cancellable.with_interrupt(update_request)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/utils.py\", line 115, in with_interrupt\n    result = await next(wait_iter)\n             ^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/tasks.py\", line 631, in _wait_for_one\n    return f.result()  # May raise f.exception().\n           ^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/asyncio/futures.py\", line 202, in result\n    raise self._exception.with_traceback(self._exception_tb)\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 132, in _update_job_info\n    self._jobs_cache = await self._get_jobs_from_scheduler()\n                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/engine/processes/calcjobs/manager.py\", line 109, in _get_jobs_from_scheduler\n    scheduler_response = scheduler.get_jobs(**kwargs)\n                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 269, in get_jobs\n    job_stats = super().get_jobs(jobs=jobs, user=user, as_dict=as_dict)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/scheduler.py\", line 361, in get_jobs\n    joblist = self._parse_joblist_output(retval, stdout, stderr)\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/srv/conda/envs/notebook/lib/python3.12/site-packages/aiida/schedulers/plugins/direct.py\", line 253, in _parse_joblist_output\n    this_job.wallclock_time_seconds = self._convert_time(job[3])\n                                                         ~~~^^^\nIndexError: list index out of range\n"
+     "text": [
+      "03/22/2025 05:14:59 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|continue_workgraph]: tasks ready to run: add_x_and_y2\n",
+      "03/22/2025 05:14:59 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 82\n",
+      "03/22/2025 05:15:06 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|update_task_state]: Task: add_x_and_y2, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:15:07 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|continue_workgraph]: tasks ready to run: add_x_and_y_and_z1\n",
+      "03/22/2025 05:15:07 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|on_wait]: Process status: Waiting for child processes: 95\n",
+      "03/22/2025 05:15:15 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|update_task_state]: Task: add_x_and_y_and_z1, type: PYTHONJOB, finished.\n",
+      "03/22/2025 05:15:15 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|continue_workgraph]: tasks ready to run: \n",
+      "03/22/2025 05:15:15 PM <24142> aiida.orm.nodes.process.workflow.workchain.WorkChainNode: [REPORT] [53|WorkGraphEngine|finalize]: Finalize workgraph.\n"
+     ]
     }
    ],
-   "execution_count": null
+   "source": [
+    "\n",
+    "wg.run()"
+   ]
   },
   {
-   "id": "0c3503e1-0a32-40e1-845d-3fd9ec3c4c19",
    "cell_type": "markdown",
-   "source": "## Load Workflow with jobflow",
-   "metadata": {}
+   "id": "0c3503e1-0a32-40e1-845d-3fd9ec3c4c19",
+   "metadata": {},
+   "source": [
+    "## Load Workflow with jobflow"
+   ]
   },
   {
-   "id": "4abb0481-8e38-479d-ae61-6c46d091653e",
    "cell_type": "code",
-   "source": "from python_workflow_definition.jobflow import load_workflow_json",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": null
+   "execution_count": 15,
+   "id": "4abb0481-8e38-479d-ae61-6c46d091653e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/pkey.py:82: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"cipher\": algorithms.TripleDES,\n",
+      "/home/jan/mambaforge/lib/python3.12/site-packages/paramiko/transport.py:253: CryptographyDeprecationWarning: TripleDES has been moved to cryptography.hazmat.decrepit.ciphers.algorithms.TripleDES and will be removed from cryptography.hazmat.primitives.ciphers.algorithms in 48.0.0.\n",
+      "  \"class\": algorithms.TripleDES,\n"
+     ]
+    }
+   ],
+   "source": [
+    "from python_workflow_definition.jobflow import load_workflow_json"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
+   "execution_count": 16,
+   "id": "8253dd7c283bf3f7",
+   "metadata": {},
    "outputs": [],
-   "execution_count": null,
-   "source": "from jobflow.managers.local import run_locally",
-   "id": "8253dd7c283bf3f7"
+   "source": [
+    "from jobflow.managers.local import run_locally"
+   ]
   },
   {
-   "id": "4b45e83b-945f-48c5-8e20-9df0ce0a14a1",
    "cell_type": "code",
-   "source": "flow = load_workflow_json(file_name=workflow_json_filename)",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": 17,
+   "id": "4b45e83b-945f-48c5-8e20-9df0ce0a14a1",
+   "metadata": {},
    "outputs": [],
-   "execution_count": null
+   "source": [
+    "flow = load_workflow_json(file_name=workflow_json_filename)"
+   ]
   },
   {
-   "id": "8665c39c-220c-4982-b738-c31f6460530f",
    "cell_type": "code",
-   "source": "result = run_locally(flow)\nresult",
-   "metadata": {
-    "trusted": true
-   },
-   "outputs": [],
-   "execution_count": null
+   "execution_count": 18,
+   "id": "8665c39c-220c-4982-b738-c31f6460530f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2025-03-22 17:15:17,020 INFO Started executing jobs locally\n",
+      "2025-03-22 17:15:17,608 INFO Starting job - add_x_and_y (0ff79865-353c-4e5c-9e0c-6d9ed576e001)\n",
+      "2025-03-22 17:15:17,610 INFO Finished job - add_x_and_y (0ff79865-353c-4e5c-9e0c-6d9ed576e001)\n",
+      "2025-03-22 17:15:17,612 INFO Starting job - add_x_and_y_and_z (1d6e359b-898d-4784-a86d-ca858fc2fcfd)\n",
+      "2025-03-22 17:15:17,615 INFO Finished job - add_x_and_y_and_z (1d6e359b-898d-4784-a86d-ca858fc2fcfd)\n",
+      "2025-03-22 17:15:17,615 INFO Finished executing jobs locally\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'0ff79865-353c-4e5c-9e0c-6d9ed576e001': {1: Response(output={'x': 1, 'y': 2, 'z': 3}, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jan/notebooks/2025/2025-03-22-compare-workflows'))},\n",
+       " '1d6e359b-898d-4784-a86d-ca858fc2fcfd': {1: Response(output=6, detour=None, addition=None, replace=None, stored_data=None, stop_children=False, stop_jobflow=False, job_dir=PosixPath('/home/jan/notebooks/2025/2025-03-22-compare-workflows'))}}"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result = run_locally(flow)\n",
+    "result"
+   ]
   },
   {
-   "id": "cf76f305-24de-45a7-be8e-cfe45cd6458e",
    "cell_type": "code",
-   "source": "",
-   "metadata": {
-    "trusted": true
-   },
+   "execution_count": null,
+   "id": "cf76f305-24de-45a7-be8e-cfe45cd6458e",
+   "metadata": {},
    "outputs": [],
-   "execution_count": null
+   "source": []
   }
- ]
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }