{"receipt_id":"official1-1","seq":1,"branch_id":"official1","kind":"apply","cmd":"git update-index -q --refresh; git apply -v --3way --recount --ignore-space-change --whitespace=nowarn /opt/receipts-8c8276c79e37444f95ff5c55e0be347d/incoming/1fb1a7836e22c97fcd86f12ce2921f67907356c2d769e3f0d3acac0855610776.diff","path":null,"exit_code":0,"stdout_tail":"","stderr_tail":"Checking patch autofit/non_linear/grid/sensitivity/__init__.py...\nApplied patch to 'autofit/non_linear/grid/sensitivity/__init__.py' cleanly.\nApplied patch autofit/non_linear/grid/sensitivity/__init__.py cleanly.\n","stdout_sha256":"0e80763d0632bdbb30fead7a096efed31ce612e2ab0c7d9fa3f5386218d415a9","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/official1/official1-1.log","tree_digest":"50128cabb3efa3a44ba265bfacbffe22608e35d1d02e06446e3837a80737637e","tree_download_s":3.1591268749907613,"started_at":"2026-10-03T01:23:46.316248Z","duration_s":0.014581,"timed_out":false,"image_before":"0e833350-1e87-4d3b-af19-5682bac4c7a2","image_after":"688e0050-e75a-4076-ad65-9a303b270d73","junit":null,"diff":null,"patch_sha256":"1fb1a7836e22c97fcd86f12ce2921f67907356c2d769e3f0d3acac0855610776","dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"official1-2","seq":2,"branch_id":"official1","kind":"command","cmd":"pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning test_autofit/non_linear/grid/test_sensitivity/test_functionality.py","path":null,"exit_code":0,"stdout_tail":"091\n2026-10-03 01:23:53,781 - root - INFO - Outputting pre-fit files (e.g. model.info, visualization).\n2026-10-03 01:23:53,788 - root - INFO - Removing all files except for .zip file\n2026-10-03 01:23:53,792 - autofit.non_linear.search.abstract_search - INFO - Creating non-linear search\n2026-10-03 01:23:53,792 - root - WARNING - 'NoneType' object has no attribute 'instance'\n2026-10-03 01:23:53,793 - root - INFO - The output path of this fit is /PyAutoFit/test_autofit/output/5f6f99377a23eb98863ae199b61e1131\n2026-10-03 01:23:53,793 - root - INFO - Outputting pre-fit files (e.g. model.info, visualization).\n2026-10-03 01:23:53,799 - root - INFO - Removing all files except for .zip file\n------------------------------ Captured log call -------------------------------\nINFO     autofit.non_linear.search.abstract_search:abstract_search.py:121 Creating non-linear search\nWARNING  root:result.py:94 'NoneType' object has no attribute 'instance'\nINFO     root:abstract_search.py:613 The output path of this fit is /PyAutoFit/test_autofit/output/bb3dba5cbcea2c378f7a633d83c16091\nINFO     root:abstract_search.py:616 Outputting pre-fit files (e.g. model.info, visualization).\nINFO     root:abstract_search.py:780 Removing all files except for .zip file\nINFO     autofit.non_linear.search.abstract_search:abstract_search.py:121 Creating non-linear search\nWARNING  root:result.py:94 'NoneType' object has no attribute 'instance'\nINFO     root:abstract_search.py:613 The output path of this fit is /PyAutoFit/test_autofit/output/5f6f99377a23eb98863ae199b61e1131\nINFO     root:abstract_search.py:616 Outputting pre-fit files (e.g. model.info, visualization).\nINFO     root:abstract_search.py:780 Removing all files except for .zip file\n_______ TestPerturbationModels.test_perturb_models[1.0-0.0-0.5-0.5-1.0] ________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,805 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n______ TestPerturbationModels.test_perturb_models[2.0-0.0-0.75-0.25-1.0] _______\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,814 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n_______ TestPerturbationModels.test_perturb_models[4.0-0.0-1.0-0.0-1.0] ________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,823 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n_ TestPerturbationModels.test__perturb_models__prior_overwrite_via_perturb_model_prior_func _\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,831 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n_____________________ TestPerturbationModels.test_physical _____________________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,840 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n_________________________ test_models_with_tuple_steps _________________________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,853 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n__________________________ test_jobs_with_tuple_steps __________________________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:53,860 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n=========================== short test summary info ============================\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_lists\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_tuple_step_size\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_labels\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_perform_job\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_perturb_models[1.0-0.0-0.5-0.5-1.0]\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_perturb_models[2.0-0.0-0.75-0.25-1.0]\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_perturb_models[4.0-0.0-1.0-0.0-1.0]\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test__perturb_models__prior_overwrite_via_perturb_model_prior_func\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_physical\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_model_with_limits\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_prior_with_limits\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_existing_limits\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_jobs_with_tuple_steps\n============================== 14 passed in 0.30s ==============================\n","stderr_tail":"","stdout_sha256":"2a8569a25838ea343d1daf5b74e74a6dec7c5d07552ed81db281ba5cee235a6a","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/official1/official1-2.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T01:23:50.803776Z","duration_s":2.524755,"timed_out":false,"image_before":"688e0050-e75a-4076-ad65-9a303b270d73","image_after":"ff522cce-310f-4cbb-a673-e7f4c30d124e","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}