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{"receipt_id":"agent1-7","seq":7,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-c9ea0a841a054d29be82a9bbd87f714c/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-c9ea0a841a054d29be82a9bbd87f714c/receipts_pytest.py test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-7.xml","path":null,"exit_code":1,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python\nrootdir: /PyAutoFit\nplugins: cov-7.0.0\ncollecting ... collected 1 item\n\ntest_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps FAILED [100%]\n\n=================================== FAILURES ===================================\n_________________________ test_models_with_tuple_steps _________________________\n\ntuple_sensitivity = <autofit.non_linear.grid.sensitivity.Sensitivity object at 0x7fffccc48c70>\n\n    def test_models_with_tuple_steps(tuple_sensitivity):\n        tuple_sensitivity.number_of_steps = (2, 2, 4)\n>       assert len(list(tuple_sensitivity._perturb_models)) == 16\n\ntest_autofit/non_linear/grid/test_sensitivity/test_functionality.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <autofit.non_linear.grid.sensitivity.Sensitivity object at 0x7fffccc48c70>\n\n    @property\n    def _perturb_models(self) -> Generator[AbstractPriorModel, None, None]:\n        \"\"\"\n        A list of models representing a perturbation at each grid square.\n    \n        By default models have priors with limits at the edges of a grid square.\n        These limits can be scaled using the limit_scale variable. If the variable\n        is 2 then the priors will have width twice the step size.\n        \"\"\"\n>       half_step = self.limit_scale * self.step_size / 2\nE       TypeError: unsupported operand type(s) for /: 'tuple' and 'int'\n\nautofit/non_linear/grid/sensitivity/__init__.py:256: TypeError\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:22:06,220 - Sensitivity () - INFO - Creating\n=============================== warnings summary ===============================\nautofit/mapper/prior/gaussian.py:19\n  /PyAutoFit/autofit/mapper/prior/gaussian.py:19: DeprecationWarning: invalid escape sequence '\\m'\n    \"\"\"\n\nautofit/mapper/operator.py:20\n  /PyAutoFit/autofit/mapper/operator.py:20: DeprecationWarning: invalid escape sequence '\\ '\n    \"\"\"Implements the functionality of a linear operator.\n\nautofit/messages/transform.py:37\n  /PyAutoFit/autofit/messages/transform.py:37: DeprecationWarning: invalid escape sequence '\\i'\n    \"\"\"\n\nautofit/mapper/prior/log_gaussian.py:21\n  /PyAutoFit/autofit/mapper/prior/log_gaussian.py:21: DeprecationWarning: invalid escape sequence '\\m'\n    \"\"\"\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n------------ generated xml file: /opt/receipts/reports/agent1-7.xml ------------\n=========================== short test summary info ============================\nFAILED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps\n======================== 1 failed, 4 warnings in 0.25s =========================\n","stderr_tail":"","stdout_sha256":"4aa544a0997201864598a02e57524c6aa836d451f27e29b115dda15533f38755","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/agent1/agent1-7.log","tree_digest":"df6e67191989e8c62ff70a7fc287466a0f16e4090ada517d749f56bbf4f53348","tree_download_s":4.1070400001481175,"started_at":"2026-10-03T01:22:01.569315Z","duration_s":4.301367,"timed_out":false,"image_before":"2c47aa7a-ea29-4fff-a4a1-24caeee2552b","image_after":"60446f9c-0be8-4893-bbfe-8827e2761f58","junit":{"passed":[],"failed":["test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps":"TypeError: unsupported operand type(s) for /: 'tuple' and 'int'\ntuple_sensitivity = <autofit.non_linear.grid.sensitivity.Sensitivity object at 0x7fffccc48c70>\n\n    def test_models_with_tuple_steps(tuple_sensitivity):\n        tuple_sensitivity.number_of_steps = (2, 2, 4)\n>       assert len(list(tuple_sensitivity._perturb_models)) == 16\n\ntest_autofit/non_linear/grid/test_sensitivity/test_functionality.py:139: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <autofit.non_linear.grid.sensitivity.Sensitivity object at 0x7fffccc48c70>\n\n    @property\n    def _perturb_models(self) -> Generator[AbstractPriorModel, None, None]:\n        \"\"\"\n        A list of models representing a perturbation at each grid square.\n    \n        By default models have priors with limits at the edges of a grid square.\n        These limits can be scaled using the limit_scale variable. If the variable\n        is 2 then the priors will have width twice the step size.\n        \"\"\"\n>       half_step = self.limit_scale * self.step_size / 2\nE       TypeError: unsupported operand type(s) for /: 'tuple' and 'int'\n\nautofit/non_linear/grid/sensitivity/__init__.py:256: TypeError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-8","seq":8,"branch_id":"agent1","kind":"command","cmd":"sed -n '250,260p' autofit/non_linear/grid/sensitivity/__init__.py | cat -A","path":null,"exit_code":0,"stdout_tail":"        A list of models representing a perturbation at each grid square.^M$\n^M$\n        By default models have priors with limits at the edges of a grid square.^M$\n        These limits can be scaled using the limit_scale variable. If the variable^M$\n        is 2 then the priors will have width twice the step size.^M$\n        \"\"\"^M$\n        half_step = self.limit_scale * self.step_size / 2^M$\n        for list_ in self._lists:^M$\n            limits = [^M$\n                (^M$\n                    prior.value_for(max(0.0, centre - half_step)),^M$\n","stderr_tail":"","stdout_sha256":"4895c983452cdfc1ad997cfe35c8593ad11d587b79f276a34add65d9a6c29504","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/agent1/agent1-8.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T01:22:20.045374Z","duration_s":0.0042,"timed_out":false,"image_before":"60446f9c-0be8-4893-bbfe-8827e2761f58","image_after":"745570b3-6133-4383-8adf-e272c7f1b32d","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
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{"receipt_id":"agent1-10","seq":10,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-06241c82b5e64e7bb54529ca98b0be55/bin/busybox sh -c 'mkdir -p /PyAutoFit/autofit/non_linear/grid/sensitivity && cp /opt/receipts-06241c82b5e64e7bb54529ca98b0be55/incoming/82b65712a699f7912e4f12ca1f87055dcb8057b19f5e1a901fcfe56c84108c04 /PyAutoFit/autofit/non_linear/grid/sensitivity/__init__.py'","path":"autofit/non_linear/grid/sensitivity/__init__.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"82b65712a699f7912e4f12ca1f87055dcb8057b19f5e1a901fcfe56c84108c04","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/agent1/agent1-10.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T01:22:32.740759Z","duration_s":0.004461,"timed_out":false,"image_before":"995be03b-8531-418b-b671-3b0bbe3cd5eb","image_after":"17e759df-a119-4808-a94c-e0c561245dba","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-11","seq":11,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-c47717cd5589472783a67dd486d0ba03/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-c47717cd5589472783a67dd486d0ba03/receipts_pytest.py test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-11.xml","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python\nrootdir: /PyAutoFit\nplugins: cov-7.0.0\ncollecting ... collected 1 item\n\ntest_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps PASSED [100%]\n\n=============================== warnings summary ===============================\nautofit/mapper/prior/gaussian.py:19\n  /PyAutoFit/autofit/mapper/prior/gaussian.py:19: DeprecationWarning: invalid escape sequence '\\m'\n    \"\"\"\n\nautofit/mapper/operator.py:20\n  /PyAutoFit/autofit/mapper/operator.py:20: DeprecationWarning: invalid escape sequence '\\ '\n    \"\"\"Implements the functionality of a linear operator.\n\nautofit/messages/transform.py:37\n  /PyAutoFit/autofit/messages/transform.py:37: DeprecationWarning: invalid escape sequence '\\i'\n    \"\"\"\n\nautofit/mapper/prior/log_gaussian.py:21\n  /PyAutoFit/autofit/mapper/prior/log_gaussian.py:21: DeprecationWarning: invalid escape sequence '\\m'\n    \"\"\"\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n==================================== PASSES ====================================\n_________________________ test_models_with_tuple_steps _________________________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:22:40,867 - Sensitivity () - INFO - Creating\n----------- generated xml file: /opt/receipts/reports/agent1-11.xml ------------\n=========================== short test summary info ============================\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps\n======================== 1 passed, 4 warnings in 0.17s =========================\n","stderr_tail":"","stdout_sha256":"d61da38c80aae5093a47d2ef5d20b7bb78374e6a086afaa5542d8f6127b1cd16","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/agent1/agent1-11.log","tree_digest":"945a6188f9cc0ea8b8945e9b6d02ac71b6aee30b11602a3b2ba4a679abc48095","tree_download_s":3.1178245830815285,"started_at":"2026-10-03T01:22:35.926518Z","duration_s":4.254991,"timed_out":false,"image_before":"17e759df-a119-4808-a94c-e0c561245dba","image_after":"0f2d5aff-2180-4d43-9698-6bef8733fb45","junit":{"passed":["test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps"],"failed":[],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-12","seq":12,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-a74f8c533acc4e9f800dcd43f5c35a6f/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-a74f8c533acc4e9f800dcd43f5c35a6f/receipts_pytest.py test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_jobs_with_tuple_steps -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-12.xml","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python\nrootdir: /PyAutoFit\nplugins: cov-7.0.0\ncollecting ... collected 1 item\n\ntest_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_jobs_with_tuple_steps PASSED [100%]\n\n=============================== warnings summary ===============================\nautofit/mapper/prior/gaussian.py:19\n  /PyAutoFit/autofit/mapper/prior/gaussian.py:19: DeprecationWarning: invalid escape sequence '\\m'\n    \"\"\"\n\nautofit/mapper/operator.py:20\n  /PyAutoFit/autofit/mapper/operator.py:20: DeprecationWarning: invalid escape sequence '\\ '\n    \"\"\"Implements the functionality of a linear operator.\n\nautofit/messages/transform.py:37\n  /PyAutoFit/autofit/messages/transform.py:37: DeprecationWarning: invalid escape sequence '\\i'\n    \"\"\"\n\nautofit/mapper/prior/log_gaussian.py:21\n  /PyAutoFit/autofit/mapper/prior/log_gaussian.py:21: DeprecationWarning: invalid escape sequence '\\m'\n    \"\"\"\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n==================================== PASSES ====================================\n__________________________ test_jobs_with_tuple_steps __________________________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:22:53,434 - Sensitivity () - INFO - Creating\n----------- generated xml file: /opt/receipts/reports/agent1-12.xml ------------\n=========================== short test summary info ============================\nPASSED test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_jobs_with_tuple_steps\n======================== 1 passed, 4 warnings in 0.18s =========================\n","stderr_tail":"","stdout_sha256":"319e058b3f97b3e11701d24c8b4823d49742f84e25d6067e4cb96af58bf54a20","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/agent1/agent1-12.log","tree_digest":"945a6188f9cc0ea8b8945e9b6d02ac71b6aee30b11602a3b2ba4a679abc48095","tree_download_s":3.0730349579825997,"started_at":"2026-10-03T01:22:48.703283Z","duration_s":4.337092,"timed_out":false,"image_before":"0f2d5aff-2180-4d43-9698-6bef8733fb45","image_after":"003b2d0d-aa4b-491f-9bab-34b4442c7c0b","junit":{"passed":["test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_jobs_with_tuple_steps"],"failed":[],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-13","seq":13,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-25fce01106f644b7ae5f2df115cead9d/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-25fce01106f644b7ae5f2df115cead9d/receipts_pytest.py test_autofit/non_linear/grid/test_sensitivity/test_functionality.py -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-13.xml","path":null,"exit_code":0,"stdout_tail":"info, visualization).\n2026-10-03 01:23:07,317 - root - INFO - Removing all files except for .zip file\n2026-10-03 01:23:07,321 - autofit.non_linear.search.abstract_search - INFO - Creating non-linear search\n2026-10-03 01:23:07,321 - root - WARNING - 'NoneType' object has no attribute 'instance'\n2026-10-03 01:23:07,322 - root - INFO - The output path of this fit is /PyAutoFit/test_autofit/output/5f6f99377a23eb98863ae199b61e1131\n2026-10-03 01:23:07,322 - root - INFO - Outputting pre-fit files (e.g. model.info, visualization).\n2026-10-03 01:23:07,328 - 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 01:23:07,335 - 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 01:23:07,344 - 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 01:23:07,352 - 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 01:23:07,361 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n_____________________ TestPerturbationModels.test_physical _____________________\n---------------------------- Captured stdout setup -----------------------------\n2026-10-03 01:23:07,369 - 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 01:23:07,383 - 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 01:23:07,391 - Sensitivity () - INFO - Creating\n------------------------------ Captured log setup ------------------------------\nINFO     Sensitivity ():__init__.py:78 Creating\n----------- generated xml file: /opt/receipts/reports/agent1-13.xml ------------\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, 4 warnings in 0.28s ========================\n","stderr_tail":"","stdout_sha256":"b9213bb5829282a246f70cd5c0e62ea2d66c82a57cf83d3cfa9d36ef9bd979ef","log_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/logs/agent1/agent1-13.log","tree_digest":"945a6188f9cc0ea8b8945e9b6d02ac71b6aee30b11602a3b2ba4a679abc48095","tree_download_s":3.0747359171509743,"started_at":"2026-10-03T01:23:02.171126Z","duration_s":4.482864,"timed_out":false,"image_before":"003b2d0d-aa4b-491f-9bab-34b4442c7c0b","image_after":"4c08a85f-ed57-4cd3-9c25-45d8a11df2af","junit":{"passed":["test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_lists","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_tuple_step_size","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_labels","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_perform_job","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_perturb_models[1.0-0.0-0.5-0.5-1.0]","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_perturb_models[2.0-0.0-0.75-0.25-1.0]","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_perturb_models[4.0-0.0-1.0-0.0-1.0]","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test__perturb_models__prior_overwrite_via_perturb_model_prior_func","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_physical","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_model_with_limits","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_prior_with_limits","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::TestPerturbationModels::test_existing_limits","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_models_with_tuple_steps","test_autofit/non_linear/grid/test_sensitivity/test_functionality.py::test_jobs_with_tuple_steps"],"failed":[],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-14","seq":14,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-e707150d7e0d494983a6aebbf8646cef: /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false add -A && /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false diff --cached --binary --no-ext-diff --no-textconv --no-renames cf3fdec0f2572962ca076125ff51aaabd0be82fb","path":null,"exit_code":0,"stdout_tail":"diff --git a/autofit/non_linear/grid/sensitivity/__init__.py b/autofit/non_linear/grid/sensitivity/__init__.py\nindex fa19768c..50ddf826 100644\n--- a/autofit/non_linear/grid/sensitivity/__init__.py\n+++ b/autofit/non_linear/grid/sensitivity/__init__.py\n@@ -253,15 +253,27 @@ class Sensitivity:\n         These limits can be scaled using the limit_scale variable. If the variable\r\n         is 2 then the priors will have width twice the step size.\r\n         \"\"\"\r\n-        half_step = self.limit_scale * self.step_size / 2\r\n-        for list_ in self._lists:\r\n-            limits = [\r\n-                (\r\n-                    prior.value_for(max(0.0, centre - half_step)),\r\n-                    prior.value_for(min(1.0, centre + half_step)),\r\n-                )\r\n-                for centre, prior in zip(list_, self.perturb_model.priors_ordered_by_id)\r\n-            ]\r\n+        if isinstance(self.step_size, tuple):\n+            half_step = tuple(self.limit_scale * s / 2 for s in self.step_size)\n+        else:\n+            half_step = self.limit_scale * self.step_size / 2\r\n+        for list_ in self._lists:\n+            if isinstance(half_step, tuple):\n+                limits = [\n+                    (\n+                        prior.value_for(max(0.0, centre - half_step[i])),\n+                        prior.value_for(min(1.0, centre + half_step[i])),\n+                    )\n+                    for i, (centre, prior) in enumerate(zip(list_, self.perturb_model.priors_ordered_by_id))\n+                ]\n+            else:\n+                limits = [\n+                    (\n+                        prior.value_for(max(0.0, centre - half_step)),\n+                        prior.value_for(min(1.0, centre + half_step)),\n+                    )\n+                    for centre, prior in zip(list_, self.perturb_model.priors_ordered_by_id)\n+                ]\n             yield self.perturb_model.with_limits(limits)\r\n \r\n     def _make_jobs(self) -> Generator[Job, None, None]:\r\n","stderr_tail":"","stdout_sha256":"c488d6f1fa7fd43de0fc5275e5748fba54cc7cb8c5541627df8c5a82e0458745","log_path":null,"tree_digest":"945a6188f9cc0ea8b8945e9b6d02ac71b6aee30b11602a3b2ba4a679abc48095","tree_download_s":3.9943636250682175,"started_at":"2026-10-03T01:23:27.636861Z","duration_s":0.09008254203945398,"timed_out":false,"image_before":"4c08a85f-ed57-4cd3-9c25-45d8a11df2af","image_after":"4c08a85f-ed57-4cd3-9c25-45d8a11df2af","junit":null,"diff":{"files":[{"path":"autofit/non_linear/grid/sensitivity/__init__.py","added":21,"deleted":9,"category":"source","status":"modified"}],"patch_sha256":"c488d6f1fa7fd43de0fc5275e5748fba54cc7cb8c5541627df8c5a82e0458745","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/rhayes777__pyautofit-888/runs/pilot-rhayes777__pyautofit-888-508cd1675e/artifacts/agent1/agent1-14.patch"},"patch_sha256":"c488d6f1fa7fd43de0fc5275e5748fba54cc7cb8c5541627df8c5a82e0458745","dropped_paths":[],"snapshot_sha":"cf3fdec0f2572962ca076125ff51aaabd0be82fb"}