diff --git a/aiida_qe.ipynb b/aiida_qe.ipynb index 192041c..07cb8d3 100644 --- a/aiida_qe.ipynb +++ b/aiida_qe.ipynb @@ -16,10 +16,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 1, + "metadata": {}, "outputs": [], "source": [ "from python_workflow_definition.aiida import write_workflow_json\n", @@ -34,10 +32,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "from aiida_workgraph import task, WorkGraph" @@ -45,10 +41,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 3, + "metadata": {}, "outputs": [], "source": [ "@task.pythonjob()\n", @@ -59,10 +53,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 4, + "metadata": {}, "outputs": [], "source": [ "from quantum_espresso_workflow import generate_structures as _generate_structures\n", @@ -75,10 +67,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 5, + "metadata": {}, "outputs": [], "source": [ "strain_lst = [0.9, 0.95, 1.0, 1.05, 1.1]" @@ -86,10 +76,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 6, + "metadata": {}, "outputs": [], "source": [ "get_bulk_structure = task.pythonjob()(_get_bulk_structure)\n", @@ -100,10 +88,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "wg = WorkGraph(\"wg-qe\")" @@ -118,10 +104,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 8, + "metadata": {}, "outputs": [], "source": [ "pickle_element_task = wg.add_task(\n", @@ -133,10 +117,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 9, + "metadata": {}, "outputs": [], "source": [ "pickle_a_task = wg.add_task(pickle_node, name=\"pickle_a\", value=4.05)" @@ -144,10 +126,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 10, + "metadata": {}, "outputs": [], "source": [ "pickle_cubic_task = wg.add_task(pickle_node, name=\"pickle_cubic\", value=True)" @@ -155,10 +135,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 11, + "metadata": {}, "outputs": [], "source": [ "pickle_relax_workdir_task = wg.add_task(\n", @@ -170,10 +148,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 12, + "metadata": {}, "outputs": [], "source": [ "pickle_pp_task = wg.add_task(\n", @@ -185,10 +161,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 13, + "metadata": {}, "outputs": [], "source": [ "pickle_kpts_task = wg.add_task(pickle_node, name=\"kpts_task\", value=[3, 3, 3])" @@ -196,10 +170,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 14, + "metadata": {}, "outputs": [], "source": [ "pickle_calc_type_relax_task = wg.add_task(\n", @@ -211,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -224,10 +196,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 16, + "metadata": {}, "outputs": [], "source": [ "pickle_smearing_task = wg.add_task(pickle_node, name=\"smearing\", value=0.02)" @@ -235,10 +205,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 17, + "metadata": {}, "outputs": [], "source": [ "pickle_strain_lst_task = wg.add_task(\n", @@ -257,10 +225,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 18, + "metadata": {}, "outputs": [], "source": [ "get_bulk_structure_task = wg.add_task(\n", @@ -275,10 +241,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 19, + "metadata": {}, "outputs": [], "source": [ "relax_prepare_input_dict_task = wg.add_task(\n", @@ -303,10 +267,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 20, + "metadata": {}, "outputs": [], "source": [ "generate_structures_task = wg.add_task(\n", @@ -320,7 +282,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -333,7 +295,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -346,10 +308,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 23, + "metadata": {}, "outputs": [], "source": [ "strain_dir_tasks, scf_qe_tasks, scf_get_dict_tasks = [], [], []\n", @@ -393,7 +353,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -408,19 +368,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cce51ee9902841d79d1f53655cd939bc", + "version_major": 2, + "version_minor": 1 + }, + "text/plain": [ + "NodeGraphWidget(settings={'minimap': True}, style={'width': '90%', 'height': '600px'}, value={'name': 'wg-qe',…" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "wg" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 26, + "metadata": {}, "outputs": [], "source": [ "_ = write_workflow_json(wg=wg, file_name=workflow_json_filename)\n" @@ -428,11 +402,420 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\n", + " \"nodes\": {\n", + " \"0\": \"Al\",\n", + " \"1\": 4.05,\n", + " \"2\": true,\n", + " \"3\": \"mini\",\n", + " \"4\": {\n", + " \"Al\": \"Al.pbe-n-kjpaw_psl.1.0.0.UPF\"\n", + " },\n", + " \"5\": [\n", + " 3,\n", + " 3,\n", + " 3\n", + " ],\n", + " \"6\": \"vc-relax\",\n", + " \"7\": \"scf\",\n", + " \"8\": 0.02,\n", + " \"9\": [\n", + " 0.9,\n", + " 0.95,\n", + " 1.0,\n", + " 1.05,\n", + " 1.1\n", + " ],\n", + " \"10\": \"quantum_espresso_workflow.get_bulk_structure\",\n", + " \"11\": \"python_workflow_definition.shared.get_dict\",\n", + " \"12\": \"quantum_espresso_workflow.calculate_qe\",\n", + " \"13\": \"quantum_espresso_workflow.generate_structures\",\n", + " \"14\": \"python_workflow_definition.shared.get_list\",\n", + " \"15\": \"python_workflow_definition.shared.get_list\",\n", + " \"16\": \"strain_0\",\n", + " \"17\": \"python_workflow_definition.shared.get_dict\",\n", + " \"18\": \"quantum_espresso_workflow.calculate_qe\",\n", + " \"19\": \"strain_1\",\n", + " \"20\": \"python_workflow_definition.shared.get_dict\",\n", + " \"21\": \"quantum_espresso_workflow.calculate_qe\",\n", + " \"22\": \"strain_2\",\n", + " \"23\": \"python_workflow_definition.shared.get_dict\",\n", + " \"24\": \"quantum_espresso_workflow.calculate_qe\",\n", + " \"25\": \"strain_3\",\n", + " \"26\": \"python_workflow_definition.shared.get_dict\",\n", + " \"27\": \"quantum_espresso_workflow.calculate_qe\",\n", + " \"28\": \"strain_4\",\n", + " \"29\": \"python_workflow_definition.shared.get_dict\",\n", + " \"30\": \"quantum_espresso_workflow.calculate_qe\",\n", + " \"31\": \"quantum_espresso_workflow.plot_energy_volume_curve\"\n", + " },\n", + " \"edges\": [\n", + " {\n", + " \"target\": 10,\n", + " \"targetHandle\": \"element\",\n", + " \"source\": 0,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 10,\n", + " \"targetHandle\": \"a\",\n", + " \"source\": 1,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 10,\n", + " \"targetHandle\": \"cubic\",\n", + " \"source\": 2,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 11,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 10,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 11,\n", + " \"targetHandle\": \"calculation\",\n", + " \"source\": 6,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 11,\n", + " \"targetHandle\": \"kpts\",\n", + " \"source\": 5,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 11,\n", + " \"targetHandle\": \"pseudopotentials\",\n", + " \"source\": 4,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 11,\n", + " \"targetHandle\": \"smearing\",\n", + " \"source\": 8,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 12,\n", + " \"targetHandle\": \"input_dict\",\n", + " \"source\": 11,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 12,\n", + " \"targetHandle\": \"working_directory\",\n", + " \"source\": 3,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 13,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 12,\n", + " \"sourceHandle\": \"structure\"\n", + " },\n", + " {\n", + " \"target\": 13,\n", + " \"targetHandle\": \"strain_lst\",\n", + " \"source\": 9,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 17,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 13,\n", + " \"sourceHandle\": \"s_0\"\n", + " },\n", + " {\n", + " \"target\": 17,\n", + " \"targetHandle\": \"calculation\",\n", + " \"source\": 7,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 17,\n", + " \"targetHandle\": \"kpts\",\n", + " \"source\": 5,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 17,\n", + " \"targetHandle\": \"pseudopotentials\",\n", + " \"source\": 4,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 17,\n", + " \"targetHandle\": \"smearing\",\n", + " \"source\": 8,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 18,\n", + " \"targetHandle\": \"input_dict\",\n", + " \"source\": 17,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 18,\n", + " \"targetHandle\": \"working_directory\",\n", + " \"source\": 16,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 15,\n", + " \"targetHandle\": \"0\",\n", + " \"source\": 18,\n", + " \"sourceHandle\": \"energy\"\n", + " },\n", + " {\n", + " \"target\": 14,\n", + " \"targetHandle\": \"0\",\n", + " \"source\": 18,\n", + " \"sourceHandle\": \"volume\"\n", + " },\n", + " {\n", + " \"target\": 20,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 13,\n", + " \"sourceHandle\": \"s_1\"\n", + " },\n", + " {\n", + " \"target\": 20,\n", + " \"targetHandle\": \"calculation\",\n", + " \"source\": 7,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 20,\n", + " \"targetHandle\": \"kpts\",\n", + " \"source\": 5,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 20,\n", + " \"targetHandle\": \"pseudopotentials\",\n", + " \"source\": 4,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 20,\n", + " \"targetHandle\": \"smearing\",\n", + " \"source\": 8,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 21,\n", + " \"targetHandle\": \"input_dict\",\n", + " \"source\": 20,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 21,\n", + " \"targetHandle\": \"working_directory\",\n", + " \"source\": 19,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 15,\n", + " \"targetHandle\": \"1\",\n", + " \"source\": 21,\n", + " \"sourceHandle\": \"energy\"\n", + " },\n", + " {\n", + " \"target\": 14,\n", + " \"targetHandle\": \"1\",\n", + " \"source\": 21,\n", + " \"sourceHandle\": \"volume\"\n", + " },\n", + " {\n", + " \"target\": 23,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 13,\n", + " \"sourceHandle\": \"s_2\"\n", + " },\n", + " {\n", + " \"target\": 23,\n", + " \"targetHandle\": \"calculation\",\n", + " \"source\": 7,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 23,\n", + " \"targetHandle\": \"kpts\",\n", + " \"source\": 5,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 23,\n", + " \"targetHandle\": \"pseudopotentials\",\n", + " \"source\": 4,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 23,\n", + " \"targetHandle\": \"smearing\",\n", + " \"source\": 8,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 24,\n", + " \"targetHandle\": \"input_dict\",\n", + " \"source\": 23,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 24,\n", + " \"targetHandle\": \"working_directory\",\n", + " \"source\": 22,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 15,\n", + " \"targetHandle\": \"2\",\n", + " \"source\": 24,\n", + " \"sourceHandle\": \"energy\"\n", + " },\n", + " {\n", + " \"target\": 14,\n", + " \"targetHandle\": \"2\",\n", + " \"source\": 24,\n", + " \"sourceHandle\": \"volume\"\n", + " },\n", + " {\n", + " \"target\": 26,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 13,\n", + " \"sourceHandle\": \"s_3\"\n", + " },\n", + " {\n", + " \"target\": 26,\n", + " \"targetHandle\": \"calculation\",\n", + " \"source\": 7,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 26,\n", + " \"targetHandle\": \"kpts\",\n", + " \"source\": 5,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 26,\n", + " \"targetHandle\": \"pseudopotentials\",\n", + " \"source\": 4,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 26,\n", + " \"targetHandle\": \"smearing\",\n", + " \"source\": 8,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 27,\n", + " \"targetHandle\": \"input_dict\",\n", + " \"source\": 26,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 27,\n", + " \"targetHandle\": \"working_directory\",\n", + " \"source\": 25,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 15,\n", + " \"targetHandle\": \"3\",\n", + " \"source\": 27,\n", + " \"sourceHandle\": \"energy\"\n", + " },\n", + " {\n", + " \"target\": 14,\n", + " \"targetHandle\": \"3\",\n", + " \"source\": 27,\n", + " \"sourceHandle\": \"volume\"\n", + " },\n", + " {\n", + " \"target\": 29,\n", + " \"targetHandle\": \"structure\",\n", + " \"source\": 13,\n", + " \"sourceHandle\": \"s_4\"\n", + " },\n", + " {\n", + " \"target\": 29,\n", + " \"targetHandle\": \"calculation\",\n", + " \"source\": 7,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 29,\n", + " \"targetHandle\": \"kpts\",\n", + " \"source\": 5,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 29,\n", + " \"targetHandle\": \"pseudopotentials\",\n", + " \"source\": 4,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 29,\n", + " \"targetHandle\": \"smearing\",\n", + " \"source\": 8,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 30,\n", + " \"targetHandle\": \"input_dict\",\n", + " \"source\": 29,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 30,\n", + " \"targetHandle\": \"working_directory\",\n", + " \"source\": 28,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 15,\n", + " \"targetHandle\": \"4\",\n", + " \"source\": 30,\n", + " \"sourceHandle\": \"energy\"\n", + " },\n", + " {\n", + " \"target\": 14,\n", + " \"targetHandle\": \"4\",\n", + " \"source\": 30,\n", + " \"sourceHandle\": \"volume\"\n", + " },\n", + " {\n", + " \"target\": 31,\n", + " \"targetHandle\": \"volume_lst\",\n", + " \"source\": 14,\n", + " \"sourceHandle\": null\n", + " },\n", + " {\n", + " \"target\": 31,\n", + " \"targetHandle\": \"energy_lst\",\n", + " \"source\": 15,\n", + " \"sourceHandle\": null\n", + " }\n", + " ]\n", + "}" + ] + } + ], "source": [ "!cat {workflow_json_filename}" ] @@ -446,21 +829,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], + "execution_count": 28, + "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" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 29, + "metadata": {}, "outputs": [], "source": [ "from jobflow.managers.local import run_locally" @@ -468,10 +858,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 30, + "metadata": {}, "outputs": [], "source": [ "flow = load_workflow_json(file_name=workflow_json_filename)" @@ -479,11 +867,166 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-03-27 18:03:30,952 INFO Started executing jobs locally\n", + "2025-03-27 18:03:34,071 INFO Starting job - get_bulk_structure (9f8dfd72-24c3-4c94-a92a-9b7c6923cdf0)\n", + "2025-03-27 18:03:34,184 INFO Finished job - get_bulk_structure (9f8dfd72-24c3-4c94-a92a-9b7c6923cdf0)\n", + "2025-03-27 18:03:34,186 INFO Starting job - get_dict (42b70db9-a867-4960-9c9c-0245f9af45a3)\n", + "2025-03-27 18:03:34,192 INFO Finished job - get_dict (42b70db9-a867-4960-9c9c-0245f9af45a3)\n", + "2025-03-27 18:03:34,193 INFO Starting job - calculate_qe (a8ea4e49-953b-44ec-ab13-017b5e79bce1)\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": [ + "2025-03-27 18:04:04,205 INFO Finished job - calculate_qe (a8ea4e49-953b-44ec-ab13-017b5e79bce1)\n", + "2025-03-27 18:04:04,207 INFO Starting job - generate_structures (abd9ed28-f79f-4ca7-a7d8-ffa3a8ab220c)\n", + "2025-03-27 18:04:04,224 INFO Finished job - generate_structures (abd9ed28-f79f-4ca7-a7d8-ffa3a8ab220c)\n", + "2025-03-27 18:04:04,225 INFO Starting job - get_dict (b0c375fc-2ef6-4d8a-92bf-101d1a96ec41)\n", + "2025-03-27 18:04:04,231 INFO Finished job - get_dict (b0c375fc-2ef6-4d8a-92bf-101d1a96ec41)\n", + "2025-03-27 18:04:04,232 INFO Starting job - get_dict (16622299-f437-4888-b102-17566177b819)\n", + "2025-03-27 18:04:04,235 INFO Finished job - get_dict (16622299-f437-4888-b102-17566177b819)\n", + "2025-03-27 18:04:04,236 INFO Starting job - get_dict (dd312bf3-95a0-4aa3-80b1-8dfbf0f8be32)\n", + "2025-03-27 18:04:04,240 INFO Finished job - get_dict (dd312bf3-95a0-4aa3-80b1-8dfbf0f8be32)\n", + "2025-03-27 18:04:04,241 INFO Starting job - get_dict (e00200ec-8812-49e7-98f3-4a463525bcf6)\n", + "2025-03-27 18:04:04,245 INFO Finished job - get_dict (e00200ec-8812-49e7-98f3-4a463525bcf6)\n", + "2025-03-27 18:04:04,246 INFO Starting job - get_dict (eb847d48-975d-427b-912f-fd94c9888445)\n", + "2025-03-27 18:04:04,253 INFO Finished job - get_dict (eb847d48-975d-427b-912f-fd94c9888445)\n", + "2025-03-27 18:04:04,255 INFO Starting job - calculate_qe (db3d85c8-9b4a-42a9-96fc-a9f10c911aba)\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": [ + "2025-03-27 18:04:09,363 INFO Finished job - calculate_qe (db3d85c8-9b4a-42a9-96fc-a9f10c911aba)\n", + "2025-03-27 18:04:09,364 INFO Starting job - calculate_qe (1d25e020-58df-42b6-bcd5-590d0dd0e9c1)\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": [ + "2025-03-27 18:04:14,741 INFO Finished job - calculate_qe (1d25e020-58df-42b6-bcd5-590d0dd0e9c1)\n", + "2025-03-27 18:04:14,742 INFO Starting job - calculate_qe (d3243e45-74c7-498b-9f79-04501bdd4fb5)\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": [ + "2025-03-27 18:04:20,629 INFO Finished job - calculate_qe (d3243e45-74c7-498b-9f79-04501bdd4fb5)\n", + "2025-03-27 18:04:20,629 INFO Starting job - calculate_qe (b0ffcaf7-fe05-4de1-bf20-4d385ba3fafb)\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": [ + "2025-03-27 18:04:27,214 INFO Finished job - calculate_qe (b0ffcaf7-fe05-4de1-bf20-4d385ba3fafb)\n", + "2025-03-27 18:04:27,215 INFO Starting job - calculate_qe (6c79afc9-8616-49c9-898b-fd2a195a1530)\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": [ + "2025-03-27 18:04:33,937 INFO Finished job - calculate_qe (6c79afc9-8616-49c9-898b-fd2a195a1530)\n", + "2025-03-27 18:04:33,938 INFO Starting job - get_list (308a6451-6359-4809-8939-7051e28c786b)\n", + "2025-03-27 18:04:33,950 INFO Finished job - get_list (308a6451-6359-4809-8939-7051e28c786b)\n", + "2025-03-27 18:04:33,951 INFO Starting job - get_list (3b6e7c8d-4f9c-43b6-9185-4d45de3a7e88)\n", + "2025-03-27 18:04:33,958 INFO Finished job - get_list (3b6e7c8d-4f9c-43b6-9185-4d45de3a7e88)\n", + "2025-03-27 18:04:33,958 INFO Starting job - plot_energy_volume_curve (64b6b07b-842d-4150-a564-27a56b0bcff8)\n", + "2025-03-27 18:04:34,167 INFO Finished job - plot_energy_volume_curve (64b6b07b-842d-4150-a564-27a56b0bcff8)\n", + "2025-03-27 18:04:34,168 INFO Finished executing jobs locally\n" + ] + }, + { + "data": { + "text/plain": [ + "{'9f8dfd72-24c3-4c94-a92a-9b7c6923cdf0': {1: Response(output='{\"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\": []}', 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", + " '42b70db9-a867-4960-9c9c-0245f9af45a3': {1: Response(output={'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\": []}', 'calculation': 'vc-relax', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02}, 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", + " 'a8ea4e49-953b-44ec-ab13-017b5e79bce1': {1: Response(output={'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\": [[4.045637215946992, 0.0, 0.0], [0.0, 4.045637215946992, 0.0], [0.0, 0.0, 4.045637215946992]], \"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, 2.0228186079734973, 2.0228186079734973], [2.0228186079734973, 0.0, 2.0228186079734973], [2.0228186079734973, 2.0228186079734973, 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\": []}', 'energy': -1074.9365262253561, 'volume': 66.21567448236993}, 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", + " 'abd9ed28-f79f-4ca7-a7d8-ffa3a8ab220c': {1: Response(output={'s_0': '{\"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\": [[3.9060197859622945, 0.0, 0.0], [0.0, 3.9060197859622945, 0.0], [0.0, 0.0, 3.9060197859622945]], \"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, 1.9530098929811486, 1.9530098929811486], [1.9530098929811486, 0.0, 1.9530098929811486], [1.9530098929811486, 1.9530098929811486, 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\": []}', 's_1': '{\"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\": [[3.9770538443181973, 0.0, 0.0], [0.0, 3.9770538443181973, 0.0], [0.0, 0.0, 3.9770538443181973]], \"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, 1.9885269221591, 1.9885269221591], [1.9885269221591, 0.0, 1.9885269221591], [1.9885269221591, 1.9885269221591, 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\": []}', 's_2': '{\"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\": [[4.045637215946992, 0.0, 0.0], [0.0, 4.045637215946992, 0.0], [0.0, 0.0, 4.045637215946992]], \"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, 2.0228186079734973, 2.0228186079734973], [2.0228186079734973, 0.0, 2.0228186079734973], [2.0228186079734973, 2.0228186079734973, 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\": []}', 's_3': '{\"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\": [[4.111970927283109, 0.0, 0.0], [0.0, 4.111970927283109, 0.0], [0.0, 0.0, 4.111970927283109]], \"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, 2.055985463641556, 2.055985463641556], [2.055985463641556, 0.0, 2.055985463641556], [2.055985463641556, 2.055985463641556, 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\": []}', 's_4': '{\"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\": [[4.176230852372337, 0.0, 0.0], [0.0, 4.176230852372337, 0.0], [0.0, 0.0, 4.176230852372337]], \"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, 2.0881154261861696, 2.0881154261861696], [2.0881154261861696, 0.0, 2.0881154261861696], [2.0881154261861696, 2.0881154261861696, 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\": []}'}, 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", + " 'b0c375fc-2ef6-4d8a-92bf-101d1a96ec41': {1: Response(output={'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\": [[3.9060197859622945, 0.0, 0.0], [0.0, 3.9060197859622945, 0.0], [0.0, 0.0, 3.9060197859622945]], \"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, 1.9530098929811486, 1.9530098929811486], [1.9530098929811486, 0.0, 1.9530098929811486], [1.9530098929811486, 1.9530098929811486, 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\": []}', 'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02}, 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", + " '16622299-f437-4888-b102-17566177b819': {1: Response(output={'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\": [[3.9770538443181973, 0.0, 0.0], [0.0, 3.9770538443181973, 0.0], [0.0, 0.0, 3.9770538443181973]], \"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, 1.9885269221591, 1.9885269221591], [1.9885269221591, 0.0, 1.9885269221591], [1.9885269221591, 1.9885269221591, 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\": []}', 'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02}, 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", + " 'dd312bf3-95a0-4aa3-80b1-8dfbf0f8be32': {1: Response(output={'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\": [[4.045637215946992, 0.0, 0.0], [0.0, 4.045637215946992, 0.0], [0.0, 0.0, 4.045637215946992]], \"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, 2.0228186079734973, 2.0228186079734973], [2.0228186079734973, 0.0, 2.0228186079734973], [2.0228186079734973, 2.0228186079734973, 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\": []}', 'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02}, 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", + " 'e00200ec-8812-49e7-98f3-4a463525bcf6': {1: Response(output={'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\": [[4.111970927283109, 0.0, 0.0], [0.0, 4.111970927283109, 0.0], [0.0, 0.0, 4.111970927283109]], \"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, 2.055985463641556, 2.055985463641556], [2.055985463641556, 0.0, 2.055985463641556], [2.055985463641556, 2.055985463641556, 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\": []}', 'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02}, 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", + " 'eb847d48-975d-427b-912f-fd94c9888445': {1: Response(output={'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\": [[4.176230852372337, 0.0, 0.0], [0.0, 4.176230852372337, 0.0], [0.0, 0.0, 4.176230852372337]], \"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, 2.0881154261861696, 2.0881154261861696], [2.0881154261861696, 0.0, 2.0881154261861696], [2.0881154261861696, 2.0881154261861696, 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\": []}', 'calculation': 'scf', 'kpts': [3, 3, 3], 'pseudopotentials': {'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}, 'smearing': 0.02}, 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", + " 'db3d85c8-9b4a-42a9-96fc-a9f10c911aba': {1: Response(output={'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\": [[3.9060197688893252, 0.0, 0.0], [0.0, 3.9060197688893252, 0.0], [0.0, 0.0, 3.9060197688893252]], \"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, 1.9530098844635175, 1.9530098844635175], [1.9530098844635175, 0.0, 1.9530098844635175], [1.9530098844635175, 1.9530098844635175, 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\": []}', 'energy': -1074.8457446150624, 'volume': 59.59410625268653}, 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", + " '1d25e020-58df-42b6-bcd5-590d0dd0e9c1': {1: Response(output={'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\": [[3.9770538269347497, 0.0, 0.0], [0.0, 3.9770538269347497, 0.0], [0.0, 0.0, 3.9770538269347497]], \"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, 1.9885269135082746, 1.9885269135082746], [1.9885269135082746, 0.0, 1.9885269135082746], [1.9885269135082746, 1.9885269135082746, 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\": []}', 'energy': -1074.9161488594564, 'volume': 62.90488993339167}, 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", + " 'd3243e45-74c7-498b-9f79-04501bdd4fb5': {1: Response(output={'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\": [[4.045637198263766, 0.0, 0.0], [0.0, 4.045637198263766, 0.0], [0.0, 0.0, 4.045637198263766]], \"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, 2.0228185991583882, 2.0228185991583882], [2.0228185991583882, 0.0, 2.0228185991583882], [2.0228185991583882, 2.0228185991583882, 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\": []}', 'energy': -1074.9365241668336, 'volume': 66.21567361409629}, 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", + " 'b0ffcaf7-fe05-4de1-bf20-4d385ba3fafb': {1: Response(output={'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\": [[4.111970909309946, 0.0, 0.0], [0.0, 4.111970909309946, 0.0], [0.0, 0.0, 4.111970909309946]], \"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, 2.0559854546134178, 2.0559854546134178], [2.0559854546134178, 0.0, 2.0559854546134178], [2.0559854546134178, 2.0559854546134178, 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\": []}', 'energy': -1074.919286002582, 'volume': 69.52645729480125}, 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", + " '6c79afc9-8616-49c9-898b-fd2a195a1530': {1: Response(output={'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\": [[4.1762308341183, 0.0, 0.0], [0.0, 4.1762308341183, 0.0], [0.0, 0.0, 4.1762308341183]], \"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, 2.08811541707298, 2.08811541707298], [2.08811541707298, 0.0, 2.08811541707298], [2.08811541707298, 2.08811541707298, 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\": []}', 'energy': -1074.8737904693398, 'volume': 72.83724097550618}, 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", + " '308a6451-6359-4809-8939-7051e28c786b': {1: Response(output=[59.59410625268653, 62.90488993339167, 66.21567361409629, 69.52645729480125, 72.83724097550618], 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", + " '3b6e7c8d-4f9c-43b6-9185-4d45de3a7e88': {1: Response(output=[-1074.8457446150624, -1074.9161488594564, -1074.9365241668336, -1074.919286002582, -1074.8737904693398], 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", + " '64b6b07b-842d-4150-a564-27a56b0bcff8': {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": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "result = run_locally(flow)\n", "result" @@ -498,10 +1041,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 32, + "metadata": {}, "outputs": [], "source": [ "from pyiron_base import Project" @@ -509,10 +1050,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, + "execution_count": 33, + "metadata": {}, "outputs": [], "source": [ "from python_workflow_definition.pyiron_base import load_workflow_json" @@ -520,11 +1059,24 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "424ab8eb357b468f89a382d4fbb109c3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/19 [00:00\n", + "\n", + "\n", + "\n", + "\n", + "create_function_job_3df05dee1fbac71b7faa4e14017b3804\n", + "\n", + "create_function_job=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bbf80>\n", + "\n", + "\n", + "\n", + "volume_lst_923a50434b9c6c6361387854e770e7ea\n", + "\n", + "volume_lst=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415ba930>\n", + "\n", + "\n", + "\n", + "volume_lst_923a50434b9c6c6361387854e770e7ea->create_function_job_3df05dee1fbac71b7faa4e14017b3804\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0_5b6ef94dccf8a35e03ed7f5e4da45bb0\n", + "\n", + "0=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bb2f0>\n", + "\n", + "\n", + "\n", + "0_5b6ef94dccf8a35e03ed7f5e4da45bb0->volume_lst_923a50434b9c6c6361387854e770e7ea\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "input_dict_8bb446c2082c041f2a15e14286f1f93d\n", + "\n", + "input_dict=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415ba210>\n", + "\n", + "\n", + "\n", + "input_dict_8bb446c2082c041f2a15e14286f1f93d->0_5b6ef94dccf8a35e03ed7f5e4da45bb0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "0_37a16a1f2206f486afcdb30a700ca294\n", + "\n", + "0=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bab10>\n", + "\n", + "\n", + "\n", + "input_dict_8bb446c2082c041f2a15e14286f1f93d->0_37a16a1f2206f486afcdb30a700ca294\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "energy_lst_c231106ba4cc36ac8e8abc38762b31f1\n", + "\n", + "energy_lst=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415ba660>\n", + "\n", + "\n", + "\n", + "0_37a16a1f2206f486afcdb30a700ca294->energy_lst_c231106ba4cc36ac8e8abc38762b31f1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_f4e3956651a9bc9fd2a90ce1281ac863\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415df350>\n", + "\n", + "\n", + "\n", + "structure_f4e3956651a9bc9fd2a90ce1281ac863->input_dict_8bb446c2082c041f2a15e14286f1f93d\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_547439ae076ab7dde2414a8684da4a04\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415dc140>\n", + "\n", + "\n", + "\n", + "structure_547439ae076ab7dde2414a8684da4a04->structure_f4e3956651a9bc9fd2a90ce1281ac863\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_a45cc1e0995dda8d440733422e45ff0e\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415deff0>\n", + "\n", + "\n", + "\n", + "structure_547439ae076ab7dde2414a8684da4a04->structure_a45cc1e0995dda8d440733422e45ff0e\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_575b29969d0eecef205268eeea9c2016\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415decc0>\n", + "\n", + "\n", + "\n", + "structure_547439ae076ab7dde2414a8684da4a04->structure_575b29969d0eecef205268eeea9c2016\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_88dedc8d314501f12bd25480652ed6d7\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415de990>\n", + "\n", + "\n", + "\n", + "structure_547439ae076ab7dde2414a8684da4a04->structure_88dedc8d314501f12bd25480652ed6d7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_77c072873ff591c720aae8ae2eecc62b\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415de660>\n", + "\n", + "\n", + "\n", + "structure_547439ae076ab7dde2414a8684da4a04->structure_77c072873ff591c720aae8ae2eecc62b\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "input_dict_b0e72266dc699892365980f1c82fee4c\n", + "\n", + "input_dict=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415b9f40>\n", + "\n", + "\n", + "\n", + "structure_a45cc1e0995dda8d440733422e45ff0e->input_dict_b0e72266dc699892365980f1c82fee4c\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "input_dict_78ebdc1e52fbd09fd2a5a48abc817f75\n", + "\n", + "input_dict=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bbb90>\n", + "\n", + "\n", + "\n", + "structure_575b29969d0eecef205268eeea9c2016->input_dict_78ebdc1e52fbd09fd2a5a48abc817f75\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "input_dict_067826dffc39709fdc2cb29a12fe7226\n", + "\n", + "input_dict=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415df9b0>\n", + "\n", + "\n", + "\n", + "structure_88dedc8d314501f12bd25480652ed6d7->input_dict_067826dffc39709fdc2cb29a12fe7226\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "input_dict_458736f9e4eecc9f376d734248efe3d4\n", + "\n", + "input_dict=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415df680>\n", + "\n", + "\n", + "\n", + "structure_77c072873ff591c720aae8ae2eecc62b->input_dict_458736f9e4eecc9f376d734248efe3d4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "input_dict_6e276ace63229c6a43732ba5aab89eb2\n", + "\n", + "input_dict=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415dc4d0>\n", + "\n", + "\n", + "\n", + "input_dict_6e276ace63229c6a43732ba5aab89eb2->structure_547439ae076ab7dde2414a8684da4a04\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "structure_a3480f5ca7f9901db28c59321c2a3dd1\n", + "\n", + "structure=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415dc8f0>\n", + "\n", + "\n", + "\n", + "structure_a3480f5ca7f9901db28c59321c2a3dd1->input_dict_6e276ace63229c6a43732ba5aab89eb2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "element_467734216d9bd2497ffd28d5cd6daba0\n", + "\n", + "element=Al\n", + "\n", + "\n", + "\n", + "element_467734216d9bd2497ffd28d5cd6daba0->structure_a3480f5ca7f9901db28c59321c2a3dd1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "a_aea0574e321c6f75f923c059730e9537\n", + "\n", + "a=4.05\n", + "\n", + "\n", + "\n", + "a_aea0574e321c6f75f923c059730e9537->structure_a3480f5ca7f9901db28c59321c2a3dd1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "cubic_bad787c53fa02a5559fe570238fdb23a\n", + "\n", + "cubic=True\n", + "\n", + "\n", + "\n", + "cubic_bad787c53fa02a5559fe570238fdb23a->structure_a3480f5ca7f9901db28c59321c2a3dd1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "calculation_77b75a01e65d83962d14fa8a882d6c34\n", + "\n", + "calculation=vc-relax\n", + "\n", + "\n", + "\n", + "calculation_77b75a01e65d83962d14fa8a882d6c34->input_dict_6e276ace63229c6a43732ba5aab89eb2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa\n", + "\n", + "kpts=[3, 3, 3]\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa->input_dict_8bb446c2082c041f2a15e14286f1f93d\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa->input_dict_6e276ace63229c6a43732ba5aab89eb2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa->input_dict_b0e72266dc699892365980f1c82fee4c\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa->input_dict_78ebdc1e52fbd09fd2a5a48abc817f75\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa->input_dict_067826dffc39709fdc2cb29a12fe7226\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "kpts_e961a9390797b0f6f8887a402ea3e9aa->input_dict_458736f9e4eecc9f376d734248efe3d4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1_aed1df9733cdb5af01ac3d3306b5ef0f\n", + "\n", + "1=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bb410>\n", + "\n", + "\n", + "\n", + "input_dict_b0e72266dc699892365980f1c82fee4c->1_aed1df9733cdb5af01ac3d3306b5ef0f\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1_c8040a4a12e31010f1a1d0c9efd1dfdc\n", + "\n", + "1=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bb080>\n", + "\n", + "\n", + "\n", + "input_dict_b0e72266dc699892365980f1c82fee4c->1_c8040a4a12e31010f1a1d0c9efd1dfdc\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "2_e6a9711377e489c0af04107fee957c62\n", + "\n", + "2=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bb050>\n", + "\n", + "\n", + "\n", + "input_dict_78ebdc1e52fbd09fd2a5a48abc817f75->2_e6a9711377e489c0af04107fee957c62\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "2_d21ef4ac9f7e37bef78dc9ea1a3cf7f3\n", + "\n", + "2=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415ba9c0>\n", + "\n", + "\n", + "\n", + "input_dict_78ebdc1e52fbd09fd2a5a48abc817f75->2_d21ef4ac9f7e37bef78dc9ea1a3cf7f3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3_2e521c79a8809599471856bcbbb27c72\n", + "\n", + "3=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bb560>\n", + "\n", + "\n", + "\n", + "input_dict_067826dffc39709fdc2cb29a12fe7226->3_2e521c79a8809599471856bcbbb27c72\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3_2c0d6891c05224cd83d7356fb4b5ce7e\n", + "\n", + "3=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bad80>\n", + "\n", + "\n", + "\n", + "input_dict_067826dffc39709fdc2cb29a12fe7226->3_2c0d6891c05224cd83d7356fb4b5ce7e\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "4_303e1544bf0568809e6743933ca94643\n", + "\n", + "4=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415bae70>\n", + "\n", + "\n", + "\n", + "input_dict_458736f9e4eecc9f376d734248efe3d4->4_303e1544bf0568809e6743933ca94643\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "4_31c2e9e0bd9bbeaac684958d5c248533\n", + "\n", + "4=<pyiron_base.project.delayed.DelayedObject object at 0x7f3c415badb0>\n", + "\n", + "\n", + "\n", + "input_dict_458736f9e4eecc9f376d734248efe3d4->4_31c2e9e0bd9bbeaac684958d5c248533\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10\n", + "\n", + "pseudopotentials={'Al': 'Al.pbe-n-kjpaw_psl.1.0.0.UPF'}\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10->input_dict_8bb446c2082c041f2a15e14286f1f93d\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10->input_dict_6e276ace63229c6a43732ba5aab89eb2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10->input_dict_b0e72266dc699892365980f1c82fee4c\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10->input_dict_78ebdc1e52fbd09fd2a5a48abc817f75\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10->input_dict_067826dffc39709fdc2cb29a12fe7226\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "pseudopotentials_453cdcc0d627a851e196cd899d956d10->input_dict_458736f9e4eecc9f376d734248efe3d4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9\n", + "\n", + "smearing=0.02\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9->input_dict_8bb446c2082c041f2a15e14286f1f93d\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9->input_dict_6e276ace63229c6a43732ba5aab89eb2\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9->input_dict_b0e72266dc699892365980f1c82fee4c\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9->input_dict_78ebdc1e52fbd09fd2a5a48abc817f75\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9->input_dict_067826dffc39709fdc2cb29a12fe7226\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "smearing_64a632a7e5bfbb7d0c6face9b82082a9->input_dict_458736f9e4eecc9f376d734248efe3d4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_a17ade9a563d8dcadb655fb2e1c743a7\n", + "\n", + "working_directory=mini\n", + "\n", + "\n", + "\n", + "working_directory_a17ade9a563d8dcadb655fb2e1c743a7->structure_547439ae076ab7dde2414a8684da4a04\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "strain_lst_2d8c38dac8f1aeeeecfa3c0b1cc8a781\n", + "\n", + "strain_lst=[0.9, 0.95, 1.0, 1.05, 1.1]\n", + "\n", + "\n", + "\n", + "strain_lst_2d8c38dac8f1aeeeecfa3c0b1cc8a781->structure_f4e3956651a9bc9fd2a90ce1281ac863\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "strain_lst_2d8c38dac8f1aeeeecfa3c0b1cc8a781->structure_a45cc1e0995dda8d440733422e45ff0e\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "strain_lst_2d8c38dac8f1aeeeecfa3c0b1cc8a781->structure_575b29969d0eecef205268eeea9c2016\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "strain_lst_2d8c38dac8f1aeeeecfa3c0b1cc8a781->structure_88dedc8d314501f12bd25480652ed6d7\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "strain_lst_2d8c38dac8f1aeeeecfa3c0b1cc8a781->structure_77c072873ff591c720aae8ae2eecc62b\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "calculation_bc91e0ce7227762f507f47b85f2f0a83\n", + "\n", + "calculation=scf\n", + "\n", + "\n", + "\n", + "calculation_bc91e0ce7227762f507f47b85f2f0a83->input_dict_8bb446c2082c041f2a15e14286f1f93d\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "calculation_bc91e0ce7227762f507f47b85f2f0a83->input_dict_b0e72266dc699892365980f1c82fee4c\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "calculation_bc91e0ce7227762f507f47b85f2f0a83->input_dict_78ebdc1e52fbd09fd2a5a48abc817f75\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "calculation_bc91e0ce7227762f507f47b85f2f0a83->input_dict_067826dffc39709fdc2cb29a12fe7226\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "calculation_bc91e0ce7227762f507f47b85f2f0a83->input_dict_458736f9e4eecc9f376d734248efe3d4\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_2e9abb255f1a31f7d29b4451ad422add\n", + "\n", + "working_directory=strain_0\n", + "\n", + "\n", + "\n", + "working_directory_2e9abb255f1a31f7d29b4451ad422add->0_5b6ef94dccf8a35e03ed7f5e4da45bb0\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_2e9abb255f1a31f7d29b4451ad422add->0_37a16a1f2206f486afcdb30a700ca294\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1_aed1df9733cdb5af01ac3d3306b5ef0f->volume_lst_923a50434b9c6c6361387854e770e7ea\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1_c8040a4a12e31010f1a1d0c9efd1dfdc->energy_lst_c231106ba4cc36ac8e8abc38762b31f1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_5423d2cc67129a6d0383af6f347df5bd\n", + "\n", + "working_directory=strain_1\n", + "\n", + "\n", + "\n", + "working_directory_5423d2cc67129a6d0383af6f347df5bd->1_aed1df9733cdb5af01ac3d3306b5ef0f\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_5423d2cc67129a6d0383af6f347df5bd->1_c8040a4a12e31010f1a1d0c9efd1dfdc\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "2_e6a9711377e489c0af04107fee957c62->volume_lst_923a50434b9c6c6361387854e770e7ea\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "2_d21ef4ac9f7e37bef78dc9ea1a3cf7f3->energy_lst_c231106ba4cc36ac8e8abc38762b31f1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_cc646e064ddfc4b2811aba3d86d27992\n", + "\n", + "working_directory=strain_2\n", + "\n", + "\n", + "\n", + "working_directory_cc646e064ddfc4b2811aba3d86d27992->2_e6a9711377e489c0af04107fee957c62\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_cc646e064ddfc4b2811aba3d86d27992->2_d21ef4ac9f7e37bef78dc9ea1a3cf7f3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3_2e521c79a8809599471856bcbbb27c72->volume_lst_923a50434b9c6c6361387854e770e7ea\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "3_2c0d6891c05224cd83d7356fb4b5ce7e->energy_lst_c231106ba4cc36ac8e8abc38762b31f1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_e27768d53df6cd8dc245c52054ecf31f\n", + "\n", + "working_directory=strain_3\n", + "\n", + "\n", + "\n", + "working_directory_e27768d53df6cd8dc245c52054ecf31f->3_2e521c79a8809599471856bcbbb27c72\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_e27768d53df6cd8dc245c52054ecf31f->3_2c0d6891c05224cd83d7356fb4b5ce7e\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "4_303e1544bf0568809e6743933ca94643->volume_lst_923a50434b9c6c6361387854e770e7ea\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "4_31c2e9e0bd9bbeaac684958d5c248533->energy_lst_c231106ba4cc36ac8e8abc38762b31f1\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_72bba39b22d2b7ce154d37c7e8c658b7\n", + "\n", + "working_directory=strain_4\n", + "\n", + "\n", + "\n", + "working_directory_72bba39b22d2b7ce154d37c7e8c658b7->4_303e1544bf0568809e6743933ca94643\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "working_directory_72bba39b22d2b7ce154d37c7e8c658b7->4_31c2e9e0bd9bbeaac684958d5c248533\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "energy_lst_c231106ba4cc36ac8e8abc38762b31f1->create_function_job_3df05dee1fbac71b7faa4e14017b3804\n", + "\n", + "\n", + "\n", + "\n", + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "delayed_object = load_workflow_json(project=pr, file_name=workflow_json_filename)\n", "delayed_object.draw()" @@ -544,11 +1819,121 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], + "execution_count": 36, + "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_20400c1655d51731f9f5ffb50c2b401f was saved and received the ID: 9\n", + "The job calculate_qe_22b5d0934d89d8f08761e744e4612c30 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_0f73111f80fee29b8afd5e14453bffa8 was saved and received the ID: 11\n", + "The job get_dict_55d1bd2244a45398056ddb1c0cbad029 was saved and received the ID: 12\n", + "The job calculate_qe_94144ffa59c45dea05dc081722e987ab 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_e9594cf5881581c8ba821e2a30a48a10 was saved and received the ID: 14\n", + "The job calculate_qe_53d26f4879eb4978a253eb0aa1029113 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_252b1e4ec0c9c64d35ccf410c59b7802 was saved and received the ID: 16\n", + "The job calculate_qe_d9323bd7caaed18758b99a1807e922ce 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_0f8ec8b6f1614bbd0e8535707c4d4c25 was saved and received the ID: 18\n", + "The job calculate_qe_ce328c3f81f8c32928c5d9afcef5cd03 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_ab6337f6767889e55c56e5b06f78d353 was saved and received the ID: 20\n", + "The job calculate_qe_0c7e3dd81f83bb1c9fa294a63874b4b9 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_a6df7a07656486154523680b67dc543b was saved and received the ID: 22\n", + "The job get_list_f14c9adeb16b4b1b25e9c4c2e4b0cf13 was saved and received the ID: 23\n", + "The job plot_energy_volume_curve_5dea3fa7571ea91ed1aa1745897703c7 was saved and received the ID: 24\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAksAAAHACAYAAACyIiyEAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAW/BJREFUeJzt3XlcVXXCx/HPZReUi8omgqC5AO5LKmZp5ZpLWpltmFZOzYwtVlb2tDht2t6UbdOUtttoWrZRmtrkgjuuCLjgwubKIsh6z/MHwkQiKsI9XPi+X6/7eh4u51y+98Rcvv5+5/yOxTAMAxERERGplJPZAURERETqMpUlERERkSqoLImIiIhUQWVJREREpAoqSyIiIiJVUFkSERERqYLKkoiIiEgVVJZEREREqqCyJCIiIlIFlSURERGRKqgsmeT555+nX79+eHp64uPjc177GIbBjBkzCAoKolGjRgwcOJAdO3aUfz85ORmLxVLpY/78+We8XkFBAd26dcNisRAXF3dB+d999126dOmCt7c33t7eREVF8dNPP13Qa4iIiDgClSWTFBYWMm7cOP7617+e9z4vvfQSr732GrNnz2b9+vUEBgYyePBgcnJyAAgJCSEtLa3C4x//+AdeXl4MHz78jNd75JFHCAoKqlb+4OBgZs2axYYNG9iwYQNXXXUV1157bYXyJiIiUi8YYqo5c+YYVqv1nNvZbDYjMDDQmDVrVvlz+fn5htVqNd57772z7tetWzfjjjvuOOP5H3/80QgPDzd27NhhAMbmzZsrfH/Hjh3G8OHDDS8vL8Pf39+47bbbjCNHjlSZsWnTpsa///3vc74XERERR6KRJQexb98+0tPTGTJkSPlz7u7uDBgwgNWrV1e6z8aNG4mLi+POO++s8HxGRgaTJ0/m008/xdPT84z90tLSGDBgAN26dWPDhg3ExMSQkZHBjTfeWOnPKSkpYd68eeTm5hIVFXUR71JERKTucTE7gJyf9PR0AAICAio8HxAQwP79+yvd58MPPyQiIoJ+/fqVP2cYBhMnTuSee+6hV69eJCcnn7Hfu+++S48ePXjhhRfKn/voo48ICQkhMTGR9u3bA7Bt2zaioqLIz8+ncePGLFq0iMjIyIt9qyIiInWKRpZq0IwZM856gnXZY8OGDRf1MywWS4WvDcM44zmAU6dO8cUXX5wxqvTWW2+RnZ3N9OnTz/ozNm7cyPLly2ncuHH5Izw8HIA9e/aUb9ehQwfi4uKIjY3lr3/9K7fffjs7d+68mLcnIiJS52hkqQZNmTKFm266qcptwsLCqvXagYGBQOkIU4sWLcqfP3z48BmjTQALFiwgLy+PCRMmVHh+2bJlxMbG4u7uXuH5Xr16ceutt/Lxxx9js9kYNWoUL7744hmv+8ef7ebmRtu2bcv3X79+Pf/85z95//33q/UeRURE6iKVpRrk6+uLr69vrbx269atCQwMZMmSJXTv3h0ovaLut99+q7TUfPjhh4wePRo/P78Kz7/55ps899xz5V+npqYydOhQvvrqK/r06QNAjx49+PrrrwkLC8PF5fx/RQzDoKCgoDpvT0REpM5SWTLJgQMHOH78OAcOHKCkpKR8naO2bdvSuHFjAMLDw5k5cyZjx47FYrHwwAMP8MILL9CuXTvatWvHCy+8gKenJ7fcckuF1969ezf//e9/+fHHH8/4ua1atarwddnPuuSSSwgODgbg73//Ox988AE333wz06ZNw9fXl927dzNv3jw++OADnJ2defzxxxk+fDghISHk5OQwb948VqxYQUxMTE0fKhEREVOpLJnkqaee4uOPPy7/umy0aPny5QwcOBCAhIQEsrKyyrd55JFHOHXqFH/72984ceIEffr04ZdffqFJkyYVXvujjz6iZcuWFa6cuxBBQUGsWrWKRx99lKFDh1JQUEBoaCjDhg3Dyan0NLeMjAyio6NJS0vDarXSpUsXYmJiGDx4cLV+poiISF1lMQzDMDuEiIiISF2lq+FEREREqqCyJCIiIlIFnbNUA2w2G6mpqTRp0qTSNY9ERESk7jEMg5ycHIKCgsrPya2MylINSE1NJSQkxOwYIiIiUg0HDx4svyK8MipLNaDsarSDBw/i7e1tchoRERE5H9nZ2YSEhJxxVfmfqSzVgLKpN29vb5UlERERB3OuU2h0greIiIhIFVSWRERERKqgsiQiIiJSBZUlERERkSqoLImIiIhUQWVJREREpAoqSyIiIiJVUFkSERERqYLKkoiIiEgVVJZEREREqqCyJCIiIlIFlSURERGRKqgs1WGGYbBu33HyCovNjiIiItJgqSzVYX/9bBM3vr+GRZtTzI4iIiLSYKks1WG9wpoCMHdVMoZhmJxGRESkYVJZqsNuvDQELzdnkg6fZNXuY2bHERERaZBUluowbw9XbugZDMCcVftMTiMiItIwqSzVcbf3CwNgWcJhko/mmhtGRESkAVJZquPa+DVmYAc/DAPmrk42O46IiEiDo7LkACZd1hqABRsPkZNfZHIaERGRhkVlyQFc0c6XS/y8OFlQzIKNh8yOIyIi0qCoLDkAi8XCxNPnLn28OhmbTcsIiIiI2IvKkoO4rkcwTTxcSD6Wx/KEw2bHERERaTBUlhyEl7sLN10aAuhEbxEREXtSWXIgE6LCcLLA70lHScrIMTuOiIhIg6Cy5EBCmnkyKCIAgDkaXRIREbELlSUHU7aMwMJNh8jMKzQ5jYiISP2nsuRg+rZpRnhgE/KLbHy1/qDZcUREROo9lSUHY7FYuOP06NIna/ZTXGIzOZGIiEj9prLkgEZ3C6KppyspmadYsjPD7DgiIiL1msqSA/JwdeaWPq0AmLMq2dwwIiIi9ZzKkoOK7huGi5OFdcnH2Z6SZXYcERGRektlyUEFWj0Y3rkFoEUqRUREapPKkgMru1/c4rhUjp4sMDeMiIhIPaWy5MB6tPKha7CVwhIbX6w9YHYcERGRekllyYFZLJbyRSo/i91PYbGWERAREalpKksO7prOLfBr4s7hnAJ+2p5mdhwREZF6R2XJwbm5OHFbn1AAPtIyAiIiIjVOZakeuKVPK9ycndhyMJPNB06YHUdERKReUVmqB/yauDOqaxCgRSpFRERqmspSPTHpsjAAftyWRnpWvrlhRERE6hGVpXqiU0srl4Y1pdhm8FnsfrPjiIiI1BsqS/VI2TICX6w7QH5RiclpRERE6geVpXpkSGQALX0acTy3kMVbUs2OIyIiUi+oLNUjLs5OREeVLiMwZ1UyhmGYnEhERMTxqSzVMzddGoKHqxPxadms3Xfc7DgiIiIOT2WpnvHxdGNs92AA5moZARERkYumslQPlS0j8MvOdA4ezzM3jIiIiINTWaqH2gc0oX9bX2wGfKplBERERC6KylI9NbFfGADz1h0gr7DY3DAiIiIOTGWpnroq3J/Q5p5k5xezcFOK2XFEREQclspSPeXkZOH2qDAA5q7WMgIiIiLVpbJUj43rFYyXmzO7D5/k96SjZscRERFxSCpL9VgTD1fG9QoBYM6qfSanERERcUwqS/Xc7f3CsFhgecIR9h3NNTuOiIiIw1FZquda+3pxZQd/AD5enWxuGBEREQekstQAlC0jMH/DQbLzi8wNIyIi4mBUlhqAy9v50ta/MbmFJczfcMjsOCIiIg5FZakBsFgs5aNLH69OpsSmZQRERETOl8pSA3Fdj5Z4e7hw4Hgey3cdNjuOiIiIw1BZaiA83Vy4qXcrAOas1jICIiIi50tlqQGZEBWKkwVW7T5GYkaO2XFEREQcgsOUpRMnThAdHY3VasVqtRIdHU1mZmaV+5w8eZIpU6YQHBxMo0aNiIiI4N133z1juzVr1nDVVVfh5eWFj48PAwcO5NSpU7X0TswT3NSTIZGBAMxZlWxuGBEREQfhMGXplltuIS4ujpiYGGJiYoiLiyM6OrrKfaZOnUpMTAyfffYZ8fHxTJ06lXvvvZdvv/22fJs1a9YwbNgwhgwZwrp161i/fj1TpkzByclhDs0FmXRZGACLNh8iM6/Q3DAiIiIOwGI4wB1W4+PjiYyMJDY2lj59+gAQGxtLVFQUu3btokOHDpXu16lTJ8aPH8+TTz5Z/lzPnj255pprePbZZwHo27cvgwcPLv+6OrKzs7FarWRlZeHt7V3t17EHwzC45s2VxKdl8+iwcP468BKzI4mIiJjifP9+O8TwyZo1a7BareVFCUpLjtVqZfXq1Wfdr3///ixevJiUlBQMw2D58uUkJiYydOhQAA4fPszatWvx9/enX79+BAQEMGDAAFauXFnr78ksFoulfHTp0zXJFJfYzA0kIiJSxzlEWUpPT8ff3/+M5/39/UlPTz/rfm+++SaRkZEEBwfj5ubGsGHDeOedd+jfvz8Ae/fuBWDGjBlMnjyZmJgYevTowdVXX01SUtJZX7egoIDs7OwKD0cyumsQzb3cSM3K55edGWbHERERqdNMLUszZszAYrFU+diwYQNQOiLyZ4ZhVPp8mTfffJPY2FgWL17Mxo0befXVV/nb3/7G0qVLAbDZSkdV7r77biZNmkT37t15/fXX6dChAx999NFZX3fmzJnlJ5pbrVZCQkIu5jDYnYerM7f0Ob2MwCotIyAiIlIVFzN/+JQpU7jpppuq3CYsLIytW7eSkXHmCMiRI0cICAiodL9Tp07x+OOPs2jRIkaMGAFAly5diIuL45VXXmHQoEG0aNECgMjIyAr7RkREcODAgbNmmj59Og8++GD519nZ2Q5XmG7rG8q7K/awPvkE21Oy6NTSanYkERGROsnUsuTr64uvr+85t4uKiiIrK4t169bRu3dvANauXUtWVhb9+vWrdJ+ioiKKiorOuKrN2dm5fEQpLCyMoKAgEhISKmyTmJjI8OHDz5rH3d0dd3f3c+auywK8PbimcwsWb0llzqpkXr2xq9mRRERE6iSHOGcpIiKCYcOGMXnyZGJjY4mNjWXy5MmMHDmywpVw4eHhLFq0CABvb28GDBjAtGnTWLFiBfv27WPu3Ll88sknjB07Fiid2ps2bRpvvvkmCxYsYPfu3Tz55JPs2rWLO++805T3ak9lJ3p/tyWVIzkF5oYRERGpo0wdWboQn3/+Offddx9DhgwBYPTo0cyePbvCNgkJCWRlZZV/PW/ePKZPn86tt97K8ePHCQ0N5fnnn+eee+4p3+aBBx4gPz+fqVOncvz4cbp27cqSJUu45JL6f0l991ZN6RbiQ9zBTL5Ye4D7B7UzO5KIiEid4xDrLNV1jrTO0p99G5fC/fPi8GvizqpHr8LNxSEGG0VERC5avVpnSWrP8E4t8G/izpGcAn7clmZ2HBERkTpHZamBc3NxIrpvKFC6jIAGGkVERCpSWRJu6dMKNxcnthzKYtOBTLPjiIiI1CkqS0Lzxu6M7hoEaJFKERGRP1NZEuB/ywj8tD2dtKxT5oYRERGpQ1SWBICOQVZ6t25Gic3gs9j9ZscRERGpM1SWpNwdp0eXvlh7gPyiEnPDiIiI1BEqS1JuUEQALX0acSKviG/jUsyOIyIiUieoLEk5F2cnJkSVLSOQrGUEREREUFmSP7np0lY0cnVmV3oOsXuPmx1HRETEdCpLUoHV05XrerQEtIyAiIgIqCxJJSb2CwNgaXwGB4/nmRtGRETEZCpLcoZ2AU24vJ0vNgM+WZNsdhwRERFTqSxJpcoWqZy3/iC5BcXmhhERETGRypJUamB7f8Kae5KTX8zCTYfMjiMiImIalSWplJOThdtPn7s0d3UyNpuWERARkYZJZUnO6oaewTR2d2HPkVx+333U7DgiIiKmUFmSs2ri4cq4XsGAlhEQEZGGS2VJqnR7VBgWC6xIOMKeIyfNjiMiImJ3KktSpTBfL67q4A/AJ6uTzQ0jIiJiApUlOadJl7UGYMHGQ2TnF5mcRkRExL5UluScLmvbnHb+jcktLOE/6w+aHUdERMSuVJbknCwWCxNPL1L58ZpkSrSMgIiINCAqS3JerusejLWRKwePn2LZrsNmxxEREbEblSU5L43cnLmpdwigZQRERKRhUVmS8zYhKgwnC6zec4xd6dlmxxEREbELlSU5by19GjG0YyAAc1clmxtGRETETlSW5IKULSOwaHMKJ3ILTU4jIiJS+1SW5IJcGtaUjkHeFBTb+HL9AbPjiIiI1DqVJbkgFoulfHTp0zX7KSqxmZxIRESkdqksyQUb2aUFzb3cSMvK5+cd6WbHERERqVUqS3LBPFydubVPK0AneouISP2nsiTVclvfUFydLWzYf4Jth7LMjiMiIlJrVJakWvy9PRjRuQWgRSpFRKR+U1mSapt4+kTv77amcjgn3+Q0IiIitUNlSaqtW4gP3Vv5UFRi8MVaLSMgIiL1k8qSXJSyZQQ+iz1AQXGJyWlERERqnsqSXJThnQIJ8Hbn6MkCftiaZnYcERGRGqeyJBfF1dmJ6L6hAMxZlYxhGCYnEhERqVkqS3LRbu7dCjcXJ7alZLHpwAmz44iIiNQolSW5aM0buzOmWxAAH2mRShERqWdUlqRGTOxXeqJ3zPZ0UjNPmZxGRESk5qgsSY2IDPKmT+tmlNgMPovdb3YcERGRGqOyJDWmbBmBL9cdIL9IywiIiMjFO3g8jzmr9mGzmXcBkcqS1JjBkQEEN23EibwivtmcYnYcERFxcDabwbQFW/jHdzt54cd403KoLEmNcXaycHtUGKBlBERE5OJ9tnY/sXuP08jVmeioUNNyqCxJjbqxVwiNXJ1JyMhhzd5jZscREREHdeBYHjN/3AXAY8PDCW3uZVoWlSWpUVZPV67v2RIoHV0SERG5UDabwcMLtnCqqIS+bZqVL35sFpUlqXFlywgsjc/gwLE8k9OIiIij+WRNMuv2HcfTzZmXru+Kk5PF1DwqS1Lj2vo35or2fhgGfLwm2ew4IiLiQJKP5jIrpnT6bfrwcFo19zQ5kcqS1JJJ/cIA+M/6g+QWFJsbRkREHILNZvDIgq3kF9mIatOcW/uYO/1WRmVJasWA9n608fUip6CYrzcdMjuOiIg4gLmrk1mXfBwvN2deuqGL6dNvZVSWpFY4OVm4/fTo0txVyaYuJiYiInXfvqO5vPTz6em3ayIIaWb+9FsZlSWpNdf3DKaJuwt7j+byW9IRs+OIiEgdVWIzmDZ/C/lFNvq39eXWPq3MjlSBypLUmsbuLozrFQKUji6JiIhUZs6qfWzYf4LG7i7Mur4zFkvdmH4ro7IktWpivzAsFvgt8Qi7D580O46IiNQxe46c5OWfEwB4/JoIgpvWnem3MipLUqtaNffk6vAAAD5enWxuGBERqVPKpt8Kim1c3s6Xm3uHmB2pUipLUusmXRYGwNebDpF1qsjcMCIiUmd8tHIfmw5knp5+61Lnpt/KqCxJret3SXM6BDQhr7CE+RsOmh1HRETqgN2HT/LyL6XTb0+MiKClTyOTE52dypLUOovFwsTTo0tzVydTomUEREQatBKbwcPzt1BYbOOK9n6Mv7RuTr+VUVkSuxjTrSU+nq4cOnGKpfEZZscRERETffD7XuIOZtLE3YUX6+DVb3+msiR20cjNmZsuLV03Q8sIiIg0XLsP5/DakkQAnhwVSQtr3Z1+K6OyJHYzISoUZycLa/YeIz4t2+w4IiJiZ8UlNh6av5XCYhtXdvBjXM9gsyOdF4cpSydOnCA6Ohqr1YrVaiU6OprMzMwq9zl58iRTpkwhODiYRo0aERERwbvvvlthm/T0dKKjowkMDMTLy4sePXqwYMGCWnwnDVeQTyOGdQwENLokItIQ/ev3vWw5mEkTDxdmXld3r377M4cpS7fccgtxcXHExMQQExNDXFwc0dHRVe4zdepUYmJi+Oyzz4iPj2fq1Knce++9fPvtt+XbREdHk5CQwOLFi9m2bRvXXXcd48ePZ/PmzbX9lhqksmUEvolL4XhuoblhRETEbhIzcnhjSRIAT4/qSKDVw+RE588hylJ8fDwxMTH8+9//JioqiqioKD744AO+//57EhISzrrfmjVruP322xk4cCBhYWH85S9/oWvXrmzYsKHCNvfeey+9e/emTZs2PPHEE/j4+LBp0yZ7vLUGp2doUzq19Kag2MaX6w6YHUdEROyguMRWevVbiY2rwv25vkdLsyNdEIcoS2vWrMFqtdKnT5/y5/r27YvVamX16tVn3a9///4sXryYlJQUDMNg+fLlJCYmMnTo0ArbfPXVVxw/fhybzca8efMoKChg4MCBtfmWGiyLxcKkfq0B+HTNfopKbCYnEhGR2vb+f/ey9VAW3h4uzLyu7l/99mcOUZbS09Px9/c/43l/f3/S09PPut+bb75JZGQkwcHBuLm5MWzYMN555x369+9fvs1XX31FcXExzZs3x93dnbvvvptFixZxySWXnPV1CwoKyM7OrvCQ8zeyawt8G7uTnp1PzPaz//cTERHHtys9mzeWll79NmN0RwK8HWf6rYypZWnGjBlYLJYqH2VTZpW1UMMwqmynb775JrGxsSxevJiNGzfy6quv8re//Y2lS5eWb/PEE09w4sQJli5dyoYNG3jwwQcZN24c27ZtO+vrzpw5s/xEc6vVSkhI3V5Mq65xd3Hm1j6lywjMWbXP5DQiIlJbik5PvxWVGAyK8Gdsd8eafitjMQzDtOWUjx49ytGjR6vcJiwsjC+++IIHH3zwjKvffHx8eP3115k0adIZ+506dQqr1cqiRYsYMWJE+fN33XUXhw4dIiYmhj179tC2bVu2b99Ox44dy7cZNGgQbdu25b333qs0U0FBAQUFBeVfZ2dnExISQlZWFt7e3ufz1hu8wzn5XDZrGUUlBt/+/TK6hviYHUlERGrYW78m8eqSRKyNXFky9Qr869ioUnZ2Nlar9Zx/v13smOkMvr6++Pr6nnO7qKgosrKyWLduHb179wZg7dq1ZGVl0a9fv0r3KSoqoqioCCenioNnzs7O2Gyl58nk5eUBVLlNZdzd3XF3dz9nbjk7/yYejOwSxKLNKcxdnczr47uZHUlERGpQfFo2by4rvfrtH6M71rmidCEc4pyliIgIhg0bxuTJk4mNjSU2NpbJkyczcuRIOnToUL5deHg4ixYtAsDb25sBAwYwbdo0VqxYwb59+5g7dy6ffPIJY8eOLd++bdu23H333axbt449e/bw6quvsmTJEsaMGWPGW21QypYR+H5rKoez880NIyIiNeaP02+DIwO4tluQ2ZEuikOUJYDPP/+czp07M2TIEIYMGUKXLl349NNPK2yTkJBAVlZW+dfz5s3j0ksv5dZbbyUyMpJZs2bx/PPPc8899wDg6urKjz/+iJ+fH6NGjaJLly588sknfPzxx1xzzTV2fX8NUZdgH3qGNqWoxOCztVpGQESkvnhn+R52pGbj4+nK82M7OdzVb39m6jlL9cX5znnKmb7bksq9X27Gt7Ebqx67CncXZ7MjiYjIRdiRmsW1s1dRbDP4503duLZb3T2p+3z/fjvMyJLUT8M6BRLo7cHRk4V8vyXN7DgiInIRCottPDx/K8U2g6EdAxjd1bGn38qoLImpXJ2diI4KBWDO6n1ooFNExHG9vXw38WnZNPV05bkxjrf45NmoLInpbu7dCncXJ7anZLNh/wmz44iISDVsT8ni7eW7AXjm2k74Nak/V42rLInpmnm5Meb0nPbcVcnmhhERkQtWOv22hWKbwfBOgYzs0sLsSDVKZUnqhEn9wwCI2ZFOauYpc8OIiMgFmb0siV3pOTTzcuPZMY5/9dufqSxJnRAe6E1Um+aU2Aw+WbPf7DgiInKeth3K4u0VewB49tpO+DauP9NvZVSWpM4oW6Tyy3UHOFVYYm4YERE5p4LiEh6ev4USm8GILi0YUc+m38qoLEmdcXVEACHNGpF1qohv4lLMjiMiIufw1q+7ScjIobmXG8+M7njuHRyUypLUGc5OFm6PCgNgziotIyAiUpdtPZTJu7+VTr89N6YTzevh9FsZlSWpU8b1CsHTzZnEjJOs3nPM7DgiIlKJP06/jeoaxPDO9XP6rYzKktQp1kau3NAzGIA5WkZARKRO+ufSJBIzTuLb2I1/1OPptzIqS1Ln3N4vDIBfd2Ww/1iuuWFERKSCuIOZvFc+/daZZl5uJieqfSpLUudc4teYAe39MAz4eLWWERARqSvyi0qn32wGXNstiGGdAs2OZBfVKku5ufrXvtSusmUE5m84yMmCYnPDiIgIAK8vTWT34ZP4NnZnxqj6P/1WplplKSAggDvuuIOVK1fWdB4RAK5o50cbXy9yCor5euMhs+OIiDR4mw6c4IP/7gXghbGdaNoApt/KVKssffnll2RlZXH11VfTvn17Zs2aRWpqak1nkwbMycnCxNOjS3NXJ2OzaRkBERGz5BeVMO309NvY7i0Z0rFhTL+VqVZZGjVqFF9//TWpqan89a9/5csvvyQ0NJSRI0eycOFCios1bSIX7/oewTTxcGHf0Vx+SzxidhwRkQbrtSWJ7DmSi18Td54eFWl2HLu7qBO8mzdvztSpU9myZQuvvfYaS5cu5YYbbiAoKIinnnqKvLy8msopDZCXuwvje4UA8NGqfSanERFpmDbuP8EHv5dOv80c2xkfz4Yz/VbmospSeno6L730EhERETz22GPccMMN/Prrr7z++ussWrSIMWPG1FBMaagmRIVhscDvSUfZfTjH7DgiIg1K2fSbYcB1PVoyKDLA7EimcKnOTgsXLmTOnDn8/PPPREZG8ve//53bbrsNHx+f8m26detG9+7dayqnNFCtmnsyKCKAJTszmLs6mefGdDY7kohIg/HKzwnsPZpLgLc7T49sOFe//Vm1RpYmTZpEUFAQq1atIi4ujilTplQoSgBt2rTh//7v/2oiozRwZcsIfL0xhay8InPDiIg0EBuSj/Ph6VMgZl7XGaunq8mJzFOtkaW0tDQ8PT2r3KZRo0Y8/fTT1Qol8kdRbZoTHtiEXek5fLXhAH+54hKzI4mI1GunCksXnzQMuKFnMFeFN8zptzLVGlkqLi4mOzv7jEdOTg6FhYU1nVEaOIvFwsTTt0D5ePV+SrSMgIhIrXr55wSSj+UR6O3BkyMb3tVvf1atsuTj40PTpk3PePj4+NCoUSNCQ0N5+umnsdlsNZ1XGqgx3VvS1NOVlMxTLNmZYXYcEZF6a92+48xZfXr67frOWBs13Om3MtUqS3PnziUoKIjHH3+cb775hkWLFvH444/TsmVL3n33Xf7yl7/w5ptvMmvWrJrOKw2Uh6szN/duBcAcLSMgIlIr8gqLmbagdPrtxl7BXNnB3+xIdUK1zln6+OOPefXVV7nxxhvLnxs9ejSdO3fm/fff59dff6VVq1Y8//zzPP744zUWVhq26KhQ3v/vXtbuO86O1Cw6BlnNjiQiUq+8FJPA/mN5tLB68ISm38pVa2RpzZo1lS4L0L17d9asWQNA//79OXDgwMWlE/mDFtZG5Xe4/nh1srlhRETqmdi9x5h7+rN11vVd8PbQ9FuZapWl4OBgPvzwwzOe//DDDwkJKV1x+dixYzRt2vTi0on8yR2nlxH4Ji6VYycLzA0jIlJP5BUW88iCrQDcdGkIA9r7mZyobqnWNNwrr7zCuHHj+Omnn7j00kuxWCysX7+eXbt2sWDBAgDWr1/P+PHjazSsSI9WTekSbGXroSy+XHeAKVe1MzuSiIjDe/GnXRw4nkeQ1YP/GxFhdpw6x2IYRrWuw96/fz/vvfceCQkJGIZBeHg4d999N2FhYTUcse7Lzs7GarWSlZWFt7e32XHqvUWbDzH1qy0EeLuz8tGrcHW+qLv2iIg0aKv3HOWWD9YC8Omdvbm8XcMZVTrfv98XPLJUVFTEkCFDeP/995k5c+ZFhRSpjms6t+D5H3aRkV3AT9vTGd01yOxIIiIOKbfgf9Nvt/Rp1aCK0oW44H+Su7q6sn37diwWS23kETkndxdnbuurZQRERC7WrJ92cejEKVr6NOLxazT9djbVmr+YMGFCpSd4i9jLrX1CcXN2YvOBTOIOZpodR0TE4azefZRPY/cD8NINXWjsXq3TmBuEah2ZwsJC/v3vf7NkyRJ69eqFl5dXhe+/9tprNRJO5Gz8mrgzsmsLFm5KYe6qfbxx05lLWYiISOVOFhQz7fT02219W3FZW1+TE9Vt1SpL27dvp0ePHgAkJiZW+J6m58ReJvVrzcJNKfywLY3Hr4nA39vD7EgiIg5h5o/xpGSeIrhpI6YP1/TbuVSrLC1fvrymc4hcsM7BVnqFNmXD/hN8FrufB4d0MDuSiEidtzLpKJ+vLV00+qUbuuCl6bdzuqhrrnfv3s3PP//MqVOnAKjmKgQi1TbpstYAfL72APlFJSanERGp23Lyi3j069LptwlRofS7RNNv56NaZenYsWNcffXVtG/fnmuuuYa0tDQA7rrrLh566KEaDShSlaEdA2hh9eBYbiHfb00zO46ISJ32wunpt5BmjXh0WLjZcRxGtcrS1KlTcXV15cCBA3h6epY/P378eGJiYmosnMi5uDg7ER0VCpQuI6DRTRGRyv038QhfrjsIwMs3dNX02wWoVln65ZdfePHFFwkODq7wfLt27di/f3+NBBM5Xzdf2goPVyd2pGazPvmE2XFEROqc7PwiHjs9/TaxXxh92zQ3OZFjqVZZys3NrTCiVObo0aO4u7tfdCiRC9HUy42x3VsCWqRSRKQyz38fT2pWPqHNPXlkmC6GuVDVKktXXHEFn3zySfnXFosFm83Gyy+/zJVXXllj4UTO18R+pSd6/7wjnZTMUyanERGpO1YkHOarDQexWEqn3zzdNP12oap1xF5++WUGDhzIhg0bKCws5JFHHmHHjh0cP36cVatW1XRGkXPqENiEfpc0Z/WeY3yyJlnrhoiIAFmninjs621A6fRb79bNTE7kmKo1shQZGcnWrVvp3bs3gwcPJjc3l+uuu47NmzdzySWX1HRGkfNStozAvHUHySssNjmNiIj5nvt+J+nZ+YQ19+SRobr6rbqqPRYXGBjIP/7xj5rMInJRrgr3p1UzTw4cz2PR5hRu7RNqdiQREdMs33WY+RsPlU6/jetKIzdnsyM5rGqXpczMTNatW8fhw4ex2WwVvjdhwoSLDiZyoZydLEyICuW5H+KZuyqZW3q30u13RKRBysor4rGFpVe/3XFZay4N0/TbxahWWfruu++49dZbyc3NpUmTJhX+IFksFpUlMc2Nl4bw+pJEkg6fZNXuY/Rvp9VpRaTheeb7nWRkF9Da14uHdSuoi1atc5Yeeugh7rjjDnJycsjMzOTEiRPlj+PHj9d0RpHz5u3hyg09S9f/0jICItIQ/RqfwdebSqffXhnXRdNvNaBaZSklJYX77ruv0rWWRMx2e78wAJYlHCb5aK65YURE7Cgrr4jpC0uvfrurf2t6hmr6rSZUqywNHTqUDRs21HQWkRrRxq8xAzv4YRjw8Zpks+OIiNjNP77bweGcAtr4efGQpt9qTLXOWRoxYgTTpk1j586ddO7cGVdX1wrfHz16dI2EE6muSZe1ZkXCEeZvOMSDg9vTxMP13DuJiDiwJTszWLg5BScLvDKuKx6umn6rKdUqS5MnTwbgmWeeOeN7FouFkpKSi0slcpGuaOfLJX5e7DmSy4KNh8rXYBIRqY8y8wp5fFHp9Nvky9vQo1VTkxPVL9WahrPZbGd9qChJXWCxWJh4uiB9vDoZm80wOZGISO2ZsXgHR3IKuMTPi6mD25sdp965oLJ0zTXXkJWVVf71888/T2ZmZvnXx44dIzIyssbCiVyM67q3pImHC8nH8liReNjsOCIiteLnHel8E5eKkwVevbGbpt9qwQWVpZ9//pmCgoLyr1988cUKSwUUFxeTkJBQc+lELoKXuws3XRoCwJxVyeaGERGpBSdyC/m/RdsB+MsVl9AtxMfcQPXUBZUlwzCq/FqkrpkQFYaTBX5POkpSRo7ZcUREatTTi3dw9GQB7fwb88CgdmbHqbeqdc6SiKMIaebJ4MgAAOauTjY3jIhIDYrZnsbiLak4O1l09Vstu6CyZLFYzrjXlu69JXXdxH6lJ3ov3JRCVl6RyWlERC7e8dxCnvimdPrtngFt6Krpt1p1QUsHGIbBxIkTcXd3ByA/P5977rkHLy8vgArnM4nUFX3bNCM8sAm70nOYt/4Adw+4xOxIIiIX5alvt3P0ZCEdAppw39WafqttFzSydPvtt+Pv74/VasVqtXLbbbcRFBRU/rW/v79uoit1jsVi4Y7Tywh8smY/xSU2kxOJiFTfj9vS+H5rWvn0m7uLpt9q2wWNLM2ZM6e2cojUqtHdgpgVs4uUzFMsjc9gWKcWZkcSEblgx04W8OTp6be/DbyEzsFWkxM1DDrBWxoED1dnbu5duozAR1pGQEQc1FPf7uBYbiHhgU249ypNv9mLypI0GNF9w3BxsrBu33F2pGadewcRkTrk+62p/LDtf9Nvbi76E24vDnOkT5w4QXR0dPn5UdHR0RVWD69MRkYGEydOJCgoCE9PT4YNG0ZSUlKFbQoKCrj33nvx9fXFy8uL0aNHc+jQoVp8J2KWQKsHwzuXTr9pkUoRcSRHcv43/fb3K9vSqaWm3+zJYcrSLbfcQlxcHDExMcTExBAXF0d0dPRZtzcMgzFjxrB3716+/fZbNm/eTGhoKIMGDSI3N7d8uwceeIBFixYxb948Vq5cycmTJxk5cqTucVdPTbosDIDFcakcPamrN0Wk7jMMgye/2c6JvCIiWngz5cq2ZkdqcCyGAyzDHR8fT2RkJLGxsfTp0weA2NhYoqKi2LVrFx06dDhjn8TERDp06MD27dvp2LEjACUlJfj7+/Piiy9y1113kZWVhZ+fH59++injx48HIDU1lZCQEH788UeGDh16Xvmys7OxWq1kZWXh7e1dQ+9aaoNhGIx5exVbDmXx0OD23KtLbkWkjlu8JZX7vtyMi5OFb6dcRscgjSrVlPP9++0QI0tr1qzBarWWFyWAvn37YrVaWb16daX7lK355OHhUf6cs7Mzbm5urFy5EoCNGzdSVFTEkCFDyrcJCgqiU6dOZ31dcWwWi4VJp5cR+DR2P4XFWkZAROquwzn5PPVt6fTblKvaqiiZxCHKUnp6Ov7+/mc87+/vT3p6eqX7hIeHExoayvTp0zlx4gSFhYXMmjWL9PR00tLSyl/Xzc2Npk2bVtg3ICDgrK8LpUUsOzu7wkMcxzWdW+DfxJ3DOQX8tD3N7DgiIpUyDIMnFm0nM6+IyBbe/F3Tb6YxtSzNmDGj/BYqZ3ts2LABqPy2KoZhnPV2K66urnz99dckJibSrFkzPD09WbFiBcOHD8fZueoFvKp6XYCZM2eWn2hutVoJCQm5gHctZnNzceK2vqGATvQWkbpr8ZZUftmZgatz6dVvrs4OMb5RL13QopQ1bcqUKdx0001VbhMWFsbWrVvJyMg443tHjhwhICDgrPv27NmTuLg4srKyKCwsxM/Pjz59+tCrVy8AAgMDKSws5MSJExVGlw4fPky/fv3O+rrTp0/nwQcfLP86OztbhcnB3Ny7FbOX7SbuYCabD5yge6um595JRMRODmfn89S3OwC496p2RAbpfFgzmVqWfH198fX1Ped2UVFRZGVlsW7dOnr37g3A2rVrycrKqrLUlLFaS+d4k5KS2LBhA88++yxQWqZcXV1ZsmQJN954IwBpaWls376dl1566ayv5+7uXn5/PHFMfk3cGdU1iK83HWLOqmSVJRGpMwzD4PFF28k6VUSnlt78daDuZ2k2hxjTi4iIYNiwYUyePJnY2FhiY2OZPHkyI0eOrHAlXHh4OIsWLSr/ev78+axYsaJ8+YDBgwczZsyY8hO6rVYrd955Jw899BC//vormzdv5rbbbqNz584MGjTI7u9T7KtsGYEft6WRnpVvbhgRkdO+iUthabym3+oSh/kv8Pnnn9O5c2eGDBnCkCFD6NKlC59++mmFbRISEsjK+t/KzGlpaURHRxMeHs59991HdHQ0X375ZYV9Xn/9dcaMGcONN97IZZddhqenJ9999905z2sSx9eppZXeYc0othl8vna/2XFERMjIzmfG4p0A3H91O8IDNf1WFzjEOkt1ndZZclw/bkvjb59vormXG6seuwoPV5VkETGHYRjc9fEGft11mM4trSz6Wz9cNKpUq+rVOksitWVIZAAtfRpxLLeQxVtSzY4jIg3Ywk0p/LrrMG7OTrx6Y1cVpTpE/yWkQXNxdiI66n/LCGigVUTMkJ6Vz4zvSq9+u39QO9oHNDE5kfyRypI0eDddGoKHqxPxadms23fc7Dgi0sAYhsH0hVvJyS+ma7CVu69oY3Yk+ROVJWnwfDzdGNs9GNAilSJifws2HmJ5whHcnJ14ZZym3+oi/RcR4X/LCPyyM52Dx/PMDSMiDUZa1ime+a706repg9vTTtNvdZLKkgjQPqAJ/dv6YjNKb7ArIlLbDMPgsa+3kVNQTLcQHyZf3trsSHIWKksip03sFwbAvHUHyCssNjeMiNR78zcc4rfEI7i5aPqtrtN/GZHTrgr3J7S5J9n5xSzclGJ2HBGpx1IzT/Hs96XTbw8Nbk9b/8YmJ5KqqCyJnObkZOH2qDAA5q7WMgIiUjsMw+DRr7eSU1BM91Y+3HW5rn6r61SWRP5gXK9gvNyc2X34JCt3HzU7jojUQ/PWH+T3pKO4n55+c3aymB1JzkFlSeQPmni4Mq5XCKBlBESk5qVknuL5H+IBmDa0A5f4afrNEagsifzJ7f3CsFhg2a7D7Duaa3YcEaknDMPg0QVbOVlQTK/Qpky6TFe/OQqVJZE/ae3rxZUd/AH4eHWyuWFEpN74Yt0BVu4unX576YYumn5zICpLIpUoW6Ry/oaD5OQXmRtGRBzeweN5vHB6+u2RYeG00fSbQ1FZEqlE/7a+tPVvTG5hCfM3HDI7jog4MJut9Oq33MISLg1ryqTTa7qJ41BZEqmExWIpX6Ty4zXJlNi0jICIVM/n6w6wes8xPFydePmGrjhp+s3hqCyJnMV1PVri7eHC/mN5LN912Ow4IuKADh7PY+aPpdNvjw4LJ8zXy+REUh0qSyJn4enmws29WwGli1SKiFwIm81g2oIt5BWW0Lt1s/JFb8XxqCyJVCE6KhQnC6zcfZTEjByz44iIA/ls7X5i9x6nkaszL9/QRdNvDkxlSaQKwU09GRIZCGiRShE5fweO5THzx10APDY8nNDmmn5zZCpLIudQtozAos2HyMwrNDeMiNR5NpvBwwu2cKqohL5tmhHdN9TsSHKRVJZEzqF362ZEtvAmv8jGvPUHzY4jInXcJ2uSWbfvOJ5uzrx0va5+qw9UlkTOwWKxMPH06NInq5MpLrGZG0hE6qzko7m8GJMAwPTh4bRq7mlyIqkJKksi52F01yCae7mRmpXPLzszzI4jInWQzWbwyIKtnCoqIapNc27to+m3+kJlSeQ8eLg6c0uf0mUE5qzaZ3IaEamL5q5OZl3ycbzcnHlJV7/VKypLIufptr6huDhZWJ98gu0pWWbHEZE6ZN/RXF76ufTqt+nXRBDSTNNv9YnKksh5CvD24JrOLQAtIyAi/1NiM5g2fwv5RTb6t/Xl1tOj0FJ/qCyJXICyZQS+25LKkZwCc8OISJ0wZ9U+Nuw/QWN3F2Zd3xmLRdNv9Y3KksgF6N6qKd1CfCgssfHF2gNmxxERk+05cpKXfy69+u3xayIIbqrpt/pIZUnkApWNLn22dj+FxVpGQKShKpt+Kyi2cXk7X27uHWJ2JKklKksiF2h4pxb4N3HnSE4BP25LMzuOiJjko5X72HQg8/T0WxdNv9VjKksiF8jNxan89gVzVu3DMAyTE4mIve0+fJKXfymdfntiRAQtfRqZnEhqk8qSSDXc0qcVbi5ObDmUxeaDmWbHERE7KrEZTFuwhcJiG1e092P8pZp+q+9UlkSqoXljd67tGgRoGQGRhubfv+9l84FMmri78KKufmsQVJZEqqnsfnE/bUsjPSvf3DAiYhe7D+fw6pJEAJ4cFUkLq6bfGgKVJZFq6hhkpXfrZhTbDD6NTTY7jojUsuISGw/N30phsY0rO/gxrmew2ZHETlSWRC7CHadHl75Ye4D8ohJzw4hIrfrX73vZcjCTJh4uzLxOV781JCpLIhdhUEQALX0acSKviMVxqWbHEZFakpiRwxtLkgB4elRHAq0eJicSe1JZErkILs5OTIgqXUbgIy0jIFIvFZfYeHj+FgpLbFwV7s/1PVqaHUnsTGVJ5CLddGkrGrk6sys9h9i9x82OIyI17P3/7mXroSy8PVyYeZ2ufmuIVJZELpLV05XrTv9Lc+7qfSanEZGalJCewxtLS69+mzG6IwHemn5riFSWRGrAxH5hACzZmcHB43nmhhGRGlF0evqtqMRgUIQ/Y7tr+q2hUlkSqQHtAppweTtfbAZ8sibZ7DgiUgPeW7GHbSlZWBu58sJYTb81ZCpLIjVk0ullBOatP0huQbG5YUTkosSnZfPmstKr3/4xuiP+mn5r0FSWRGrIwPb+hDX3JCe/mIWbU8yOIyLV9Mfpt8GRAVzbLcjsSGIylSWRGuLkZOH20+cuzV21D5tNywiIOKJ3lu9hR2o2Pp6uPD+2k6bfRGVJpCbd0DOYxu4u7DmSy++7j5odR0Qu0I7ULN764/RbE02/icqSSI1q4uHKuF6l94uas0rLCIg4ksJiGw/P30qxzWBoxwBGd9X0m5RSWRKpYbdHhWGxwIqEI+w9ctLsOCJynt5evpv4tGyaerry3Bhd/Sb/o7IkUsPCfL24qoM/AB+vTjY3jIicl+0pWby9fDcAz1zbCb8m7iYnkrpEZUmkFky6rDUACzYeIju/yOQ0IlKV0um3LRTbDIZ3CmRklxZmR5I6RmVJpBZc1rY57QMak1tYwn/WHzQ7johUYfayJHal59DMy41nx+jqNzmTypJILbBYLEzsVzq69PGaZPKLSkxOJCKV2Z6Sxdsr9gDw7LWd8G2s6Tc5k8qSSC0Z270lPp6uHDx+ilFvrWTLwUyzI4nIHxQUl/DQf7ZQYjMY0aUFIzT9JmehsiRSSxq5OTP75h74NnYn6fBJrnt3NS/F7KKgWKNMInXBW7/uJiEjh+ZebjwzuqPZcaQOU1kSqUX92/myZOoVjO4aRInN4J0Vexj11kq2Hso0O5pIg7b1UCbv/lY6/fbcmE401/SbVEFlSaSWNfVy482bu/PebT3wbexGYsZJxr6zmld+TtAok4gJCopLeHh+6fTbqK5BDO+s6TepmsqSiJ0M69SCX6YOYGSXFpTYDGYv383ot1axPSXL7GgiDco/lyaRmHES38Zu/EPTb3IeVJZE7KiZlxuzb+nBu7f2oLmXGwkZOVz79ipe+yWBwmKb2fFE6r24g5m8Vz791plmXm4mJxJHoLIkYoLhnVvwy9QrGNG5dJTpzWW7GT17pUaZRGpRflHp9JvNgGu7BTGsU6DZkcRBqCyJmKR5Y3fevrUHb9/Sg2ZebuxKz2HM26t4bUmiRplEasEbS5PYffgkvo3dmTFK029y/lSWREw2okvpKNPwToEU2wze/DWJa99exc7UbLOjidQbmw6c4F//LZ1+e2FsJ5pq+k0ugMqSSB3g29idd27twVs3d6eppyvxadmMnr2SN5YmUlSiUSaRi5FfVMK009NvY7u3ZEhHTb/JhXGYsnTixAmio6OxWq1YrVaio6PJzMyscp+MjAwmTpxIUFAQnp6eDBs2jKSkpPLvHz9+nHvvvZcOHTrg6elJq1atuO+++8jK0nkjYn8Wi4VRXYP4ZeoAhnUsHWV6Y2kSY95eRXyaRplEquu1JYnsOZKLXxN3nh4VaXYccUAOU5ZuueUW4uLiiImJISYmhri4OKKjo8+6vWEYjBkzhr179/Ltt9+yefNmQkNDGTRoELm5uQCkpqaSmprKK6+8wrZt25g7dy4xMTHceeed9npbImfwa+LOu7f14M2bu+Pj6cqO1NJRpjd/TdIok8gFKCy28e/f9/Lv3/cCMHNsZ3w8Nf0mF85iGIZhdohziY+PJzIyktjYWPr06QNAbGwsUVFR7Nq1iw4dOpyxT2JiIh06dGD79u107Fh6Il9JSQn+/v68+OKL3HXXXZX+rPnz53PbbbeRm5uLi4vLeeXLzs7GarWSlZWFt7d3Nd+lyJkO5+TzxKLt/LIzA4BOLb15ZVxXwgP1eyZyNoZhsGRnBjN/2sW+o6X/OL6xVzAv3dDV5GRS15zv32+HGFlas2YNVqu1vCgB9O3bF6vVyurVqyvdp6CgAAAPD4/y55ydnXFzc2PlypVn/VllB+x8i5JIbfJv4sH70T35503dsDZyZXtKNqPeWsnsZUkUa5RJ5Aw7UrO45YO1/OXTjew7motvY3dmXdeZmdd1MTuaODCHaATp6en4+/uf8by/vz/p6emV7hMeHk5oaCjTp0/n/fffx8vLi9dee4309HTS0tIq3efYsWM8++yz3H333VXmKSgoKC9jUNpMRWqLxWLh2m4tiWrTnMcXbWdpfAav/JLIzzsyeGVcVzoENjE7oojpDmfn8+ovifxn40EMA9xcnLirf2v+dmVbGrs7xJ86qcNMHVmaMWMGFoulyseGDRuA0j8Yf2YYRqXPA7i6uvL111+TmJhIs2bN8PT0ZMWKFQwfPhxnZ+czts/OzmbEiBFERkby9NNPV5l75syZ5SeaW61WQkJCqvHuRS6Mv7cHH0zoyevju2Jt5Mq2lCxGvbWSt5fv1iiTNFj5RSXMXpbEwFdW8NWG0qI0sksLfn1wAI8MC1dRkhph6jlLR48e5ejRo1VuExYWxhdffMGDDz54xtVvPj4+vP7660yaNKnK18jKyqKwsBA/Pz/69OlDr169ePvtt8u/n5OTw9ChQ/H09OT777+vMHVXmcpGlkJCQnTOktjN4ex8Hl+0jaXxhwHoGmzllXFdaRegUSZpGAzDYPGWVF6KSSAl8xQAXUN8eGpkBD1Dm5mcThzF+Z6z5FAneK9du5bevXsDsHbtWvr27XvWE7wrk5SURHh4OD/99BNDhgwBSg/U0KFDcXd358cff8TT0/OC8+kEbzGDYRgs3JTCP77bQXZ+MW7OTkwd3J7Jl7fGxdkhTkcUqZZNB07w7Pc72XwgE4AgqwePDg9nVJcgnJwqn20QqUy9KksAw4cPJzU1lffffx+Av/zlL4SGhvLdd9+VbxMeHs7MmTMZO3YsUHplm5+fH61atWLbtm3cf//99OzZk6+//hooHVEaPHgweXl5LFq0CC8vr/LX8vPzq3S6rjIqS2Km9KzSUaZlu06PMoX48Oq4LrT11yiT1C8pmad48addLN6SCoCnmzN/HXAJd13ehkZu5/d5LfJH5/v322Emcz///HPuu+++8hGh0aNHM3v27ArbJCQkVFhQMi0tjQcffJCMjAxatGjBhAkTePLJJ8u/v3HjRtauXQtA27ZtK7zWvn37CAsLq6V3I1JzAq0efHh7LxZsPMQz3+9ky8FMrnlzJQ8Obs/ky9vgrH9pi4PLLSjm3RV7+OD3vRQU27BY4IYewTw8tAMB3lWfNiFSExxmZKku08iS1BXpWfk8tnArKxKOANC9lQ8v39CVtv6NTU4mcuFKbAYLNh7klV8SOZJTep5on9bNeHJkJJ1aWk1OJ/VBvZuGq8tUlqQuMQyD+RsO8ez3O8kpKMbNxYmHh7Tnzv4aZRLHsXrPUZ77Pp6dp2/1E9rck8eviWBIZMBZr4IWuVAqS3aksiR1UWrmKR5buI3/JpaOMvVo5cPL47pyiZ9GmaTu2nc0lxd+jGfJ6VXrm3i4cP/V7ZgQFYabiy5ckJqlsmRHKktSVxmGwX82HOTZ7+M5WVCMu4sT04Z2YNJlrTXKJHVKVl4Rby5L4pM1yRSVGDg7Wbi1TyseGNSeZl66n5vUDpUlO1JZkrouJfMUj329ld+TStc16xXalJdu6EIbjTKJyYpKbHweu583fk0iM68IgIEd/Pi/ayK0bpjUOpUlO1JZEkdgGAbz1h/k+R80yiTmMwyD5QmHef6HePYcKb3ZbTv/xjwxMpIB7f1MTicNhcqSHaksiSNJyTzFowu2snJ36SjTpWFNefmGroT5ep1jT5GakZCew3M/7Cwf6Wzm5caDg9tz06UhWlBV7EplyY5UlsTRGIbBF+sO8MIP8eQWluDh6sQjQ8OZ2C9MKyBLrTl6soDXliQyb90BbAa4OTsx6bIw/n5VW7w9XM2OJw2QypIdqSyJozp4PI/HFm5l1e5jAPRu3YyXb+hCaHONMknNKSguYc6qZN5etpucgmIAhncK5LHh4fpdE1OpLNmRypI4MsMw+HztAV74MZ68whIauTrz6LAOTIjSKJNcHMMw+Gl7OjN/iufg8dKb3XZuaeWJERH0adPc5HQiKkt2pbIk9cHB43k8smAra/aWjjL1ad2Ml2/oSqvmF35zaZGthzJ59vudrE8+AUCAtzvThoZzXfeWKuFSZ6gs2ZHKktQXNpvB52v388KPuzhVVIKnmzOPDQ/ntj6h+gMn5yUt6xQvxySwcHMKAB6uTvzliku4Z0AbPN0c5nak0kCoLNmRypLUNweO5TFtwRbW7jsOQN82paNMIc00yiSVyyss5v3f9vL+f/eQX2QD4LruLZk2rAMtrI1MTidSOZUlO1JZkvrIZjP4NHY/s3763yjT9GsiuLV3K40ySTmbzWDR5hRe/jmB9Ox8oHTR0ydHRtI1xMfccCLnoLJkRypLUp/tP5bLtPlbWZdcOsrU75LmvHh9F40yCev2Hee5H3ay9VAWAMFNGzF9eATXdA7UzW7FIags2ZHKktR3NpvBx2uSeTFmF/lFNrzcnHl8RAS39G6lP4oN0IFjecyKiefHbekANHZ34e9XtmXSZWF4uDqbnE7k/Kks2ZHKkjQUyUdzmbZgS/kVTv3b+jLr+s4EN9UoU0OQnV/E28t2M2dVMoUlNpwscFPvVjw4uD2+jd3NjidywVSW7EhlSRoSm81gzupkXv65dJSpsbsLj18Twc29QzTKVE8Vl9iYt/4gry9J5FhuIQCXt/Pl/0ZEEB6ozzxxXCpLdqSyJA3RvqO5TJu/hQ37S0eZLm/ny6zru9DSR1c+1Sf/TTzCcz/sJDHjJABt/Lx4YkQEV3bwVzkWh6eyZEcqS9JQldgM5qzax8s/J1BQXDrK9MSICMZfqlEmR7f7cA7P/xDP8oQjAPh4uvLA1e24tW8orrrZrdQTKkt2pLIkDd2eIyeZNn8Lmw5kAnBFez9mXdeZII0yOZzjuYW8sTSRz9ceoMRm4OJkYUJUGPdf3Q6rp252K/WLypIdqSyJlI4yfbhyL6/8kkhhsY0m7i48OTKScb2CNcrkAAqLbXyyJpk3f00iO7/0ZreDIwOYPjycNn6NTU4nUjtUluxIZUnkf3YfPsm0BVvYfHqUaWAHP2Ze11mrONdRhmHwy84MZv4YT/KxPAAiWnjz5IgI+rX1NTmdSO1SWbIjlSWRikpsBv/+fS+vLjk9yuRxepSpp0aZ6pIdqVk8+/1OYveWLjjq29idaUPbc0PPEJy1Srs0ACpLdqSyJFK53YdzeGj+VrYczATgyg5+zLyuC4FWD3ODNXCHs/N55ZcE5m88hGGAm4sTky9vzV8HtqWxu252Kw2HypIdqSyJnF1xiY0Pft/H60sSKSyx4e3hwlOjOnJ9j5YaZbKz/KIS/v37Xt5ZsYe8whIARnUN4tFhHbSwqDRIKkt2pLIkcm5JGTk8PH8LW07fR+zqcH9euK4zAd4aZapthmGweEsqL/60i9Ss0pvddgvx4cmRkfQMbWpyOhHzqCzZkcqSyPkpLrHx/n/38s+lSeWjTDNGd2Rsd40y1ZaN+0/w7Pc7iTs9FRpk9eDR4eGM7hqkYy4NnsqSHaksiVyYhPTSUaZtKaWjTIMiAnhhbCf8NcpUYw6dyOPFmAS+25IKgKebM38beAl3Xd5GN7sVOU1lyY5UlkQuXNko0xtLEykqMbA2cuUfoztybTeNeFyMkwXFvLtiN//+fR8FxTYsFhjXM5iHh3RQGRX5E5UlO1JZEqm+XenZPDx/C9tTsoHShRCfH9sJ/yb6w34hSmwG8zcc5JVfEjl6sgCAvm2a8cSISDq1tJqcTqRuUlmyI5UlkYtTVGLjvRV7eHNZEkUlBj6epaNMOq/m/KzefZRnf4gnPq20cIY19+TxayIYHBmg4ydSBZUlO1JZEqkZ8WnZPPSfLew8/Ud/aMcAnhvTGb8m7iYnq5v2HjnJCz/uYml8BgDeHi7cd3U7JkSF4eaim92KnIvKkh2pLInUnKISG+8s38Nby5Iothk09XTlH9d2YlSXFholOS0rr4h//prEJ2uSKbYZODtZuK1PK+4f1J5mXm5mxxNxGCpLdqSyJFLzdqaWnstUNso0vFMgz47phG/jhjvKVFRi4/PY/bzxaxKZeUVA6aro/zcigrb+TUxOJ+J4VJbsSGVJpHYUFtt4e/lu3l6+m2KbQTMvN565tiMjuwSZHc2uDMNgecJhnv8hnj1HcgFoH9CYJ0ZEckV7P5PTiTgulSU7UlkSqV3bU7J4eP4WdqXnAHBN50CevbYTzRvAKNOu9Gye+z6elbuPAtDcy40Hh7RnfK8QXJx1XpLIxVBZsiOVJZHaV1hsY/ayJN5esYcSm0FzLzeeHdOJazq3MDtarTh6soBXf0nkq/UHsBng5uzEpP5h/P3Ktnh7uJodT6ReUFmyI5UlEfv58yjTiC4tePbaTvXmxOb8ohLmrErm7eW7OVlQDJSOpD02LIJWzXWzW5GapLJkRypLIvZVUFzCW7/u5t3f/jfK9NyYTgx34FEmwzD4cVs6M3+K59CJUwB0CbbyxIhIerduZnI6kfpJZcmOVJZEzLH1UCYPz99CYsZJAEZ1DeKZ0R1p6mCjTFsOZvLcDztZn3wCgEBvDx4Z1oEx3Vri5KTlEkRqi8qSHaksiZinoLiEN39N4t0Ve7AZ4NvYjefGdGZYp0Czo51TWtYpXo5JYOHmFAAauTpz94A2/OWKNni6uZicTqT+U1myI5UlEfNtOVg6ypR0uHSU6dpuQcwYVTdHmfIKi3nvt7386797yC+yAXBdj5Y8MjScQKvuiSdiLypLdqSyJFI35BeV8M9fk3j/t7JRJndeGNuJIR3rxiiTzWawcHMKL/+8i4zs0pvdXhrWlCdHRtIl2MfccCINkMqSHaksidQtcQczeeg/ceULOI7t3pKnR0Xi42neKNO6fcd59vudbEvJAiCkWSOmD49geKdA3cZFxCQqS3aksiRS9+QXlfD60kQ++O9ebAb4NXFn5tjODIoMsGuOA8fymPlTPD9tTwegibsLU65qy+39wvBwdbZrFhGpSGXJjlSWROquTQdOMG3+lvJRpuu6t+TpUR2xetbuwo7Z+UXMXrabuauSKSyx4WSBm3u3Yurg9g36/nYidYnKkh2pLInUbflFJby+JJF//b4Xw4AAb3dmXteZq8JrfpSpuMTGl+sP8vqSRI7nFgJweTtfnhgRSYdA3exWpC5RWbIjlSURx7Bxf+ko096jpaNM1/cI5qlRkVgb1cwo02+JR3j+h53l6z5d4ufFEyMiGdjBT+clidRBKkt2pLIk4jjyi0p49ZcE/r1yX/ko06zrunBluH+1X3P34Rye+yGeFQlHAPDxdGXqoPbc0qcVrrrZrUidpbJkRypLIo5nQ/Jxpi3Yyr7To0zjegbzxMgLG2U6nlvIG0sT+XztAUpsBq7OFiZEhXHfVe1q/ZwoEbl4Kkt2pLIk4phOFZbwyi8JfLSqdJQp0NuDWdd3ZmCHqkeZCottfLImmX/+mkROfunNbodEBjD9mgha+3rZI7qI1ACVJTtSWRJxbOuTjzNt/haSj+UBML5XCP83MgJvj4qjQ4Zh8POODGb+FM/+09tGtvDmiZER9LvE1+65ReTiqCzZkcqSiOM7VVjCSz/vYu7qZAwDWlg9ePH6LlzR3g+A7SlZPPfDTmL3HgdK122aNqQD1/cMxlk3uxVxSCpLdqSyJFJ/rN17jGkLtnLgeOnI0U2XhlBiM1iw6RCGAe4uTky+vA33DLyExu662a2II1NZsiOVJZH6Ja+wmJdiEpi7OrnC89d2C+KRYeG09GlkTjARqVHn+/db/ywSEfkTTzcXZozuyLBOgTz97Q6snq48NjycHq2amh1NREygkaUaoJElERERx3O+f7+1WpqIiIhIFVSWRERERKqgsiQiIiJSBZUlERERkSqoLImIiIhUQWVJREREpAoOU5ZOnDhBdHQ0VqsVq9VKdHQ0mZmZVe6TkZHBxIkTCQoKwtPTk2HDhpGUlFTptoZhMHz4cCwWC998803NvwERERFxSA5Tlm655Rbi4uKIiYkhJiaGuLg4oqOjz7q9YRiMGTOGvXv38u2337J582ZCQ0MZNGgQubm5Z2z/xhtvYLHo/k4iIiJSkUOs4B0fH09MTAyxsbH06dMHgA8++ICoqCgSEhLo0KHDGfskJSURGxvL9u3b6dixIwDvvPMO/v7+fPnll9x1113l227ZsoXXXnuN9evX06JFC/u8KREREXEIDjGytGbNGqxWa3lRAujbty9Wq5XVq1dXuk9BQQEAHh4e5c85Ozvj5ubGypUry5/Ly8vj5ptvZvbs2QQGBtbSOxARERFH5RBlKT09HX9//zOe9/f3Jz09vdJ9wsPDCQ0NZfr06Zw4cYLCwkJmzZpFeno6aWlp5dtNnTqVfv36ce211553noKCArKzsys8REREpH4ytSzNmDEDi8VS5WPDhg0AlZ5PZBjGWc8zcnV15euvvyYxMZFmzZrh6enJihUrGD58OM7OzgAsXryYZcuW8cYbb1xQ7pkzZ5afaG61WgkJCbmwNy4iIiIOw9RzlqZMmcJNN91U5TZhYWFs3bqVjIyMM7535MgRAgICzrpvz549iYuLIysri8LCQvz8/OjTpw+9evUCYNmyZezZswcfH58K+11//fVcfvnlrFixotLXnT59Og8++GD519nZ2SpMIiIi9ZTFMAzD7BDnEh8fT2RkJGvXrqV3794ArF27lr59+7Jr165KT/CuTFJSEuHh4fz0008MGTKE9PR0jh49WmGbzp07889//pNRo0bRunXr83rd871rsYiIiNQd5/v32yGuhouIiGDYsGFMnjyZ999/H4C//OUvjBw5skJRCg8PZ+bMmYwdOxaA+fPn4+fnR6tWrdi2bRv3338/Y8aMYciQIQAEBgZWelJ3q1atzrsoQel0IKBzl0RERBxI2d/tc40bOURZAvj888+57777yovO6NGjmT17doVtEhISyMrKKv86LS2NBx98kIyMDFq0aMGECRN48sknazxbTk4OgKbiREREHFBOTg5Wq/Ws33eIabi6zmazkZqaSpMmTerEwpZl51AdPHhQ04LoePyZjseZdEwq0vGoSMejovp0PAzDICcnh6CgIJyczn7Nm8OMLNVlTk5OBAcHmx3jDN7e3g7/i1yTdDwq0vE4k45JRToeFel4VFRfjkdVI0plHGKdJRERERGzqCyJiIiIVEFlqR5yd3fn6aefxt3d3ewodYKOR0U6HmfSMalIx6MiHY+KGuLx0AneIiIiIlXQyJKIiIhIFVSWRERERKqgsiQiIiJSBZUlB5aSksJtt91G8+bN8fT0pFu3bmzcuLH8+4ZhMGPGDIKCgmjUqBEDBw5kx44dJiauXVUdj6KiIh599FE6d+6Ml5cXQUFBTJgwgdTUVJNT165z/Y780d13343FYuGNN96wb0g7Op/jER8fz+jRo7FarTRp0oS+ffty4MABkxLXrnMdj5MnTzJlyhSCg4Np1KgRERERvPvuuyYmrj1hYWFYLJYzHn//+9+Bhvd5WtXxaIifpypLDurEiRNcdtlluLq68tNPP7Fz505effVVfHx8yrd56aWXeO2115g9ezbr168nMDCQwYMHl9+epT451/HIy8tj06ZNPPnkk2zatImFCxeSmJjI6NGjzQ1ei87nd6TMN998w9q1awkKCrJ/UDs5n+OxZ88e+vfvT3h4OCtWrGDLli08+eSTeHh4mBe8lpzP8Zg6dSoxMTF89tlnxMfHM3XqVO69916+/fZb84LXkvXr15OWllb+WLJkCQDjxo0DGtbnKVR9PBri5ymGOKRHH33U6N+//1m/b7PZjMDAQGPWrFnlz+Xn5xtWq9V477337BHRrs51PCqzbt06AzD2799fS6nMdb7H5NChQ0bLli2N7du3G6Ghocbrr79e++FMcD7HY/z48cZtt91mp0TmOp/j0bFjR+OZZ56p8FyPHj2MJ554ojaj1Qn333+/cckllxg2m63BfZ5W5o/HozL1/fNUI0sOavHixfTq1Ytx48bh7+9P9+7d+eCDD8q/v2/fPtLT08tvPAyla2MMGDCA1atXmxG5Vp3reFQmKysLi8VS6UhLfXA+x8RmsxEdHc20adPo2LGjSUnt41zHw2az8cMPP9C+fXuGDh2Kv78/ffr04ZtvvjEvdC06n9+P/v37s3jxYlJSUjAMg+XLl5OYmMjQoUNNSm0fhYWFfPbZZ9xxxx1YLJYG93n6Z38+HpWp75+nGllyUO7u7oa7u7sxffp0Y9OmTcZ7771neHh4GB9//LFhGIaxatUqAzBSUlIq7Dd58mRjyJAhZkSuVec6Hn926tQpo2fPnsatt95q56T2cz7H5IUXXjAGDx5c/q/F+jyydK7jkZaWZgCGp6en8dprrxmbN282Zs6caVgsFmPFihUmp6955/P7UVBQYEyYMMEADBcXF8PNzc345JNPTExtH1999ZXh7Oxc/vnZ0D5P/+zPx+PPGsLnqcqSg3J1dTWioqIqPHfvvfcaffv2NQzjf//jTk1NrbDNXXfdZQwdOtRuOe3lXMfjjwoLC41rr73W6N69u5GVlWWviHZ3rmOyYcMGIyAgoMIHYH0uS+c6HikpKQZg3HzzzRW2GTVqlHHTTTfZLae9nM//Zl5++WWjffv2xuLFi40tW7YYb731ltG4cWNjyZIl9o5rV0OGDDFGjhxZ/nVD+zz9sz8fjz9qKJ+nmoZzUC1atCAyMrLCcxEREeVX7QQGBgKQnp5eYZvDhw8TEBBgn5B2dK7jUaaoqIgbb7yRffv2sWTJknpxx+yzOdcx+f333zl8+DCtWrXCxcUFFxcX9u/fz0MPPURYWJgJiWvXuY6Hr68vLi4u5/V7VB+c63icOnWKxx9/nNdee41Ro0bRpUsXpkyZwvjx43nllVfMiGwX+/fvZ+nSpdx1113lzzW0z9M/qux4lGlIn6cqSw7qsssuIyEhocJziYmJhIaGAtC6dWsCAwPLr2CA0nnn3377jX79+tk1qz2c63jA//6HnZSUxNKlS2nevLm9Y9rVuY5JdHQ0W7duJS4urvwRFBTEtGnT+Pnnn82IXKvOdTzc3Ny49NJLz/l7VF+c63gUFRVRVFSEk1PFPxPOzs7YbDa75bS3OXPm4O/vz4gRI8qfa2ifp39U2fGAhvd5qmk4B7Vu3TrDxcXFeP75542kpCTj888/Nzw9PY3PPvusfJtZs2YZVqvVWLhwobFt2zbj5ptvNlq0aGFkZ2ebmLx2nOt4FBUVGaNHjzaCg4ONuLg4Iy0trfxRUFBgcvracT6/I39Wn6fhzud4LFy40HB1dTX+9a9/GUlJScZbb71lODs7G7///ruJyWvH+RyPAQMGGB07djSWL19u7N2715gzZ47h4eFhvPPOOyYmrz0lJSVGq1atjEcfffSM7zWkz9MyZzseDfHzVGXJgX333XdGp06dDHd3dyM8PNz417/+VeH7NpvNePrpp43AwEDD3d3duOKKK4xt27aZlLb2VXU89u3bZwCVPpYvX25e6Fp2rt+RP6vPZckwzu94fPjhh0bbtm0NDw8Po2vXrsY333xjQlL7ONfxSEtLMyZOnGgEBQUZHh4eRocOHYxXX331rJePO7qff/7ZAIyEhIQzvtfQPk8N4+zHoyF+nloMwzDMGNESERERcQQ6Z0lERESkCipLIiIiIlVQWRIRERGpgsqSiIiISBVUlkRERESqoLIkIiIiUgWVJREREZEqqCyJiIiIVEFlSUQatLCwMN544w2zY4hIHaayJCIOa9SoUQwaNKjS761ZswaLxcKmTZvsnEpE6huVJRFxWHfeeSfLli1j//79Z3zvo48+olu3bvTo0cOEZCJSn6gsiYjDGjlyJP7+/sydO7fC83l5eXz11VfceeedfP3113Ts2BF3d3fCwsJ49dVXz/p6ycnJWCwW4uLiyp/LzMzEYrGwYsUKAFasWIHFYuHnn3+me/fuNGrUiKuuuorDhw/z008/ERERgbe3NzfffDN5eXnlr2MYBi+99BJt2rShUaNGdO3alQULFtTk4RCRWqKyJCIOy8XFhQkTJjB37lz+eE/w+fPnU1hYSFRUFDfeeCM33XQT27ZtY8aMGTz55JNnlKvqmDFjBrNnz2b16tUcPHiQG2+8kTfeeIMvvviCH374gSVLlvDWW2+Vb//EE08wZ84c3n33XXbs2MHUqVO57bbb+O233y46i4jULovxx08YEREHs2vXLiIiIli2bBlXXnklAAMGDKBly5ZYLBaOHDnCL7/8Ur79I488wg8//MCOHTuA0hO8H3jgAR544AGSk5Np3bo1mzdvplu3bkDpyFLTpk1Zvnw5AwcOZMWKFVx55ZUsXbqUq6++GoBZs2Yxffp09uzZQ5s2bQC45557SE5OJiYmhtzcXHx9fVm2bBlRUVHlWe666y7y8vL44osv7HGoRKSaNLIkIg4tPDycfv368dFHHwGwZ88efv/9d+644w7i4+O57LLLKmx/2WWXkZSURElJyUX93C5dupT//wEBAXh6epYXpbLnDh8+DMDOnTvJz89n8ODBNG7cuPzxySefsGfPnovKISK1z8XsACIiF+vOO+9kypQpvP3228yZM4fQ0FCuvvpqDMPAYrFU2LaqwXQnJ6cztikqKqp0W1dX1/L/32KxVPi67DmbzQZQ/n9/+OEHWrZsWWE7d3f3c709ETGZRpZExOHdeOONODs788UXX/Dxxx8zadIkLBYLkZGRrFy5ssK2q1evpn379jg7O5/xOn5+fgCkpaWVP/fHk72rKzIyEnd3dw4cOEDbtm0rPEJCQi769UWkdmlkSUQcXuPGjRk/fjyPP/44WVlZTJw4EYCHHnqISy+9lGeffZbx48ezZs0aZs+ezTvvvFPp6zRq1Ii+ffsya9YswsLCOHr0KE888cRF52vSpAkPP/wwU6dOxWaz0b9/f7Kzs1m9ejWNGzfm9ttvv+ifISK1RyNLIlIv3HnnnZw4cYJBgwbRqlUrAHr06MF//vMf5s2bR6dOnXjqqad45plnystUZT766COKioro1asX999/P88991yN5Hv22Wd56qmnmDlzJhEREQwdOpTvvvuO1q1b18jri0jt0dVwIiIiIlXQyJKIiIhIFVSWRERERKqgsiQiIiJSBZUlERERkSqoLImIiIhUQWVJREREpAoqSyIiIiJVUFkSERERqYLKkoiIiEgVVJZEREREqqCyJCIiIlIFlSURERGRKvw/FsCLm/9axZsAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "delayed_object.pull()" ] @@ -556,7 +1941,7 @@ ], "metadata": { "kernelspec": { - "display_name": "ADIS", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -570,7 +1955,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.12.5" } }, "nbformat": 4,