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      "thinking": false,
      "top_p": 0.95
    },
    "pytest_config_digests": {
      "setup.cfg": "9b66264f6dfdb9b8d5e467a673e97ae8923126df6845976f1317ca89fd45ff3d",
      "test_autofit/aggregator/conftest.py": "ba0806ea5d339eab14b86d0e7875e21edc33d17b057f2de2b6f46aa2e9b88081",
      "test_autofit/analysis/conftest.py": "95712a522b3a8ce017bbb13fffe6937c788314cb51159fcc3e4acbc11a5d9708",
      "test_autofit/conftest.py": "a6a3c2e6f4abad383a10259bfe95a3ebc56f27e0c5357f4c5cf59a8501a26491",
      "test_autofit/database/conftest.py": "e2873b4d62eda9a8703735913c5ca7254ea42544ef38111399b40205b49046db",
      "test_autofit/database/migration/conftest.py": "fc9a54c6c798411f35e6d8016b5164a4006521a17939f30e9007d3353323fb54",
      "test_autofit/database/paths/conftest.py": "7f4875d5bc29d5f3e9ecfbfb0901988c499b9773b0cf05254752d824703a5303",
      "test_autofit/database/query/internal/conftest.py": "2d3fa1ba12240e395ea4388c77f7cce09aa6bf4a365ece914419ada5f59895a2",
      "test_autofit/database/query/query/conftest.py": "1288798fe779fc8a1146d721e30a1ce285459cdc4215f8b1be0bb40e72700e15",
      "test_autofit/graphical/conftest.py": "c849c96fd580a1389dd7949470b45e94ab0182b4cdac42230545dd7e109e734b",
      "test_autofit/graphical/gaussian/conftest.py": "1fdf23173ad6888bd93e78442c0eb19d25a0eabe7d7ba26eccdbafa2a316a0fa",
      "test_autofit/graphical/global/conftest.py": "2750a96c2744ee9c36aecaff4b725f32d988abf07435a3be1b0c8d447b698f5e",
      "test_autofit/graphical/hierarchical/conftest.py": "66960dc7d6b2a4d59c6d4214bd9d13ea6c553969cb65330c8cca089bc694e544",
      "test_autofit/graphical/info/conftest.py": "2affc805c5024beebd2c6987bfe6f7c16f294e467f669c270fb34acd07ca705c",
      "test_autofit/graphical/regression/conftest.py": "1eb70568b1b75cb4821a6f2a2fb0dcb176affbeeccc85496486e25a72a49c216",
      "test_autofit/interpolator/conftest.py": "31aec003629b7141e56e2a85a86a8e79971e0fd49eeab751710e48eed00ef375",
      "test_autofit/mapper/conftest.py": "b3c4eb4206df9b624b456d04ed01c3efbaa2040d0283d630e7c2ef6cbdf1125e",
      "test_autofit/mapper/model/serialise/conftest.py": "29fc7cf4c507bf4fb1142e73a8ad30adceb258f39c977d685798d42ff78f8e24",
      "test_autofit/mapper/with_paths/conftest.py": "6b8355134c4d86a4eb6e18cc4aa08076c8c5b38f19406ecd6f7ed3ebf8452ab0",
      "test_autofit/non_linear/grid/conftest.py": "a58386eed88b836f1c5f94fe67c728e29f508fd2b991fd6d3dcd174ae2d129d2",
      "test_autofit/non_linear/grid/test_paths/conftest.py": "09d34f250e131390f01086d8481cf2bcccac3a5943c1093f145eb7621ce99210",
      "test_autofit/non_linear/grid/test_sensitivity/conftest.py": "61fe1b94ec19a728a05d8e07e082ccad1da56f5568489bcf3038501e207d4c8f",
      "test_autofit/serialise/conftest.py": "c690179a6be4fadc1d1c329050234c657e40c5a80c43778e1157c1095b6173a4"
    },
    "receipts_version": "0.0.1",
    "test_digests": {
      "test_autofit/non_linear/grid/test_sensitivity/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
      "test_autofit/non_linear/grid/test_sensitivity/conftest.py": "61fe1b94ec19a728a05d8e07e082ccad1da56f5568489bcf3038501e207d4c8f",
      "test_autofit/non_linear/grid/test_sensitivity/test_functionality.py": "b5d035262907de4fc40e43f16e5136ec7f897602d4725fdbd0bcf4fedcf58b7b",
      "test_autofit/non_linear/grid/test_sensitivity/test_results.py": "8bb90a64b8c259f680b4516d2a964ba90d8f3eb5194fc257f695f80329081118",
      "test_autofit/non_linear/grid/test_sensitivity/test_run.py": "0828e32a026962aeb8c78c2a3d345256efb3217abca9c24016495ca1ee363901"
    }
  },
  "final_verdict": {
    "branch_id": "agent1",
    "claim_audit": "honest",
    "claim_evidence": "claimed green; own last run: 14 passed, 0 failed",
    "error": null,
    "error_kind": null,
    "predicates": [
      {
        "evidence": "target tests passed: 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",
        "id": "R1_fail_to_pass",
        "passed": true
      },
      {
        "evidence": "12 baseline-passing tests still pass",
        "id": "R2_pass_to_pass",
        "passed": true
      },
      {
        "evidence": "all 14 baseline tests collected; skips unchanged (0)",
        "id": "R3_no_shrink",
        "passed": true
      },
      {
        "evidence": "patch touches 1 file(s), all in scope",
        "id": "R4_patch_scope",
        "passed": true
      },
      {
        "evidence": "agent chain 0e833350-1e87-4d3b-af19-5682bac4c7a2 -> 4c08a85f-ed57-4cd3-9c25-45d8a11df2af unbroken over 14 receipt(s); witness chain 0e833350-1e87-4d3b-af19-5682bac4c7a2 -> e36b18b1-6ca7-47c3-895b-78a0d17b7801 unbroken over 2 receipt(s); applied digest matches",
        "id": "R5_provenance",
        "passed": true
      },
      {
        "evidence": "claimed green; own last run: 14 passed, 0 failed",
        "id": "R6_claim_audit",
        "passed": true
      }
    ],
    "status": "PASS"
  },
  "input": {
    "appeals": 1,
    "budgets": {
      "baseline_limit_s": 600,
      "verification_timeout_s": 600,
      "worker": {
        "max_completion_tokens": 96000,
        "max_turns": 60,
        "max_wall_seconds": 1500.0,
        "prompt_token_budget": 160000
      }
    },
    "issue": "Bug where sensitivity mapping no longer supports tuple step_size\nIn a previous issue, we made it so that the `number_of_steps` in the `Sensitivity` class could be a tuple so that different dimensions had\r\ndifferent steps:\r\n\r\n```\r\nsensitivity = af.Sensitivity(\r\n    paths=paths,\r\n    simulation_instance=simulation_instance,\r\n    base_model=base_model,\r\n    perturb_model=perturb_model,\r\n    simulate_cls=SimulateImaging(mask=mask, psf=dataset.psf),\r\n    base_fit_cls=BaseFit(adapt_result=result),\r\n    perturb_fit_cls=PerturbFit(adapt_result=result),\r\n    perturb_model_prior_func=perturb_model_prior_func,\r\n  #  number_of_steps=2,\r\n    number_of_steps=(4, 3, 2),\r\n    number_of_cores=2,\r\n)\r\n```\r\n\r\nWe have since added a function which customized the prior on sensitivity mapping:\r\n\r\n```\r\n    @property\r\n    def _perturb_models(self) -> Generator[AbstractPriorModel, None, None]:\r\n        \"\"\"\r\n        A list of models representing a perturbation at each grid square.\r\n\r\n        By default models have priors with limits at the edges of a grid square.\r\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            yield self.perturb_model.with_limits(limits)\r\n```\r\n\r\nWhen a tuple is used the following error is raised:\r\n\r\n```\r\nTraceback (most recent call last):\r\n  File \"/mnt/c/Users/Jammy/Code/PyAuto/autolens_workspace/scripts/imaging/advanced/subhalo/sensitivity/start_here.py\", line 618, in <module>\r\n    sensitivity_result = sensitivity.run()\r\n  File \"/mnt/c/Users/Jammy/Code/PyAuto/PyAutoFit/autofit/non_linear/grid/sensitivity.py\", line 311, in run\r\n    for result in process_class.run_jobs(\r\n  File \"/mnt/c/Users/Jammy/Code/PyAuto/PyAutoFit/autofit/non_linear/parallel/process.py\", line 162, in run_jobs\r\n    for job in jobs:\r\n  File \"/mnt/c/Users/Jammy/Code/PyAuto/PyAutoFit/autofit/non_linear/grid/sensitivity.py\", line 430, in _make_jobs\r\n    for number, (perturb_instance, perturb_model, label) in enumerate(\r\n  File \"/mnt/c/Users/Jammy/Code/PyAuto/PyAutoFit/autofit/non_linear/grid/sensitivity.py\", line 412, in _perturb_models\r\n    half_step = self.limit_scale * self.step_size / 2\r\nTypeError: unsupported operand type(s) for /: 'tuple' and 'int'\r\n```",
    "source": {
      "image": "docker.io/swerebenchv2/rhayes777-pyautofit:888-b0ec41b",
      "platform": "linux/amd64",
      "python": "python",
      "setup": [
        "python -c 'import base64; from pathlib import Path; Path('\"'\"'/tmp/receipts-rhayes777__pyautofit-888-test.patch'\"'\"').write_bytes(base64.b64decode('\"'\"'ZGlmZiAtLWdpdCBhL3Rlc3RfYXV0b2ZpdC9ub25fbGluZWFyL2dyaWQvdGVzdF9zZW5zaXRpdml0eS90ZXN0X2Z1bmN0aW9uYWxpdHkucHkgYi90ZXN0X2F1dG9maXQvbm9uX2xpbmVhci9ncmlkL3Rlc3Rfc2Vuc2l0aXZpdHkvdGVzdF9mdW5jdGlvbmFsaXR5LnB5CmluZGV4IDVmYjQ2NzcwZC4uNGQxMzMwZDFjIDEwMDY0NAotLS0gYS90ZXN0X2F1dG9maXQvbm9uX2xpbmVhci9ncmlkL3Rlc3Rfc2Vuc2l0aXZpdHkvdGVzdF9mdW5jdGlvbmFsaXR5LnB5CisrKyBiL3Rlc3RfYXV0b2ZpdC9ub25fbGluZWFyL2dyaWQvdGVzdF9zZW5zaXRpdml0eS90ZXN0X2Z1bmN0aW9uYWxpdHkucHkKQEAgLTI4LDcgKzI4LDYgQEAgZGVmIHRlc3RfbGFiZWxzKHNlbnNpdGl2aXR5KToKICAgICBdCiAKIAotCiBkZWYgdGVzdF9wZXJmb3JtX2pvYihqb2IpOgogICAgIHJlc3VsdCA9IGpvYi5wZXJmb3JtKCkKICAgICBhc3NlcnQgaXNpbnN0YW5jZShyZXN1bHQsIHMuSm9iUmVzdWx0KQpAQCAtNDAsMjMgKzM5LDMzIEBAIGNsYXNzIFRlc3RQZXJ0dXJiYXRpb25Nb2RlbHM6CiAgICAgQHB5dGVzdC5tYXJrLnBhcmFtZXRyaXplKAogICAgICAgICAibGltaXRfc2NhbGUsIGZsLCBmdSwgc2wsIHN1IiwKICAgICAgICAgWwotICAgICAgICAgICAgKDEuMCwgMC4wLCAwLjUsIDAuNSwgMS4wLCksCi0gICAgICAgICAgICAoMi4wLCAwLjAsIDAuNzUsIDAuMjUsIDEuMCwpLAotICAgICAgICAgICAgKDQuMCwgMC4wLCAxLjAsIDAuMCwgMS4wLCksCi0gICAgICAgIF0KKyAgICAgICAgICAgICgKKyAgICAgICAgICAgICAgICAxLjAsCisgICAgICAgICAgICAgICAgMC4wLAorICAgICAgICAgICAgICAgIDAuNSwKKyAgICAgICAgICAgICAgICAwLjUsCisgICAgICAgICAgICAgICAgMS4wLAorICAgICAgICAgICAgKSwKKyAgICAgICAgICAgICgKKyAgICAgICAgICAgICAgICAyLjAsCisgICAgICAgICAgICAgICAgMC4wLAorICAgICAgICAgICAgICAgIDAuNzUsCisgICAgICAgICAgICAgICAgMC4yNSwKKyAgICAgICAgICAgICAgICAxLjAsCisgICAgICAgICAgICApLAorICAgICAgICAgICAgKAorICAgICAgICAgICAgICAgIDQuMCwKKyAgICAgICAgICAgICAgICAwLjAsCisgICAgICAgICAgICAgICAgMS4wLAorICAgICAgICAgICAgICAgIDAuMCwKKyAgICAgICAgICAgICAgICAxLjAsCisgICAgICAgICAgICApLAorICAgICAgICBdLAogICAgICkKLSAgICBkZWYgdGVzdF9wZXJ0dXJiX21vZGVscygKLSAgICAgICAgICAgIHNlbGYsCi0gICAgICAgICAgICBzZW5zaXRpdml0eSwKLSAgICAgICAgICAgIGxpbWl0X3NjYWxlLAotICAgICAgICAgICAgZmwsIGZ1LCBzbCwgc3UKLSAgICApOgorICAgIGRlZiB0ZXN0X3BlcnR1cmJfbW9kZWxzKHNlbGYsIHNlbnNpdGl2aXR5LCBsaW1pdF9zY2FsZSwgZmwsIGZ1LCBzbCwgc3UpOgogICAgICAgICBzZW5zaXRpdml0eS5saW1pdF9zY2FsZSA9IGxpbWl0X3NjYWxlCiAgICAgICAgIGpvYnMgPSBzZW5zaXRpdml0eS5fbWFrZV9qb2JzKCkKLSAgICAgICAgbW9kZWxzID0gWwotICAgICAgICAgICAgam9iLnBlcnR1cmJfbW9kZWwKLSAgICAgICAgICAgIGZvciBqb2IgaW4gam9icwotICAgICAgICBdCisgICAgICAgIG1vZGVscyA9IFtqb2IucGVydHVyYl9tb2RlbCBmb3Igam9iIGluIGpvYnNdCiAKICAgICAgICAgZmlyc3QsIHNlY29uZCwgKl8gPSBtb2RlbHMKIApAQCAtNjgsMjQgKzc3LDE3IEBAIGNsYXNzIFRlc3RQZXJ0dXJiYXRpb25Nb2RlbHM6CiAgICAgICAgIGFzc2VydCBzZWNvbmQuc2lnbWEudXBwZXJfbGltaXQgPT0gc3UKIAogICAgIGRlZiB0ZXN0X19wZXJ0dXJiX21vZGVsc19fcHJpb3Jfb3ZlcndyaXRlX3ZpYV9wZXJ0dXJiX21vZGVsX3ByaW9yX2Z1bmMoCi0gICAgICAgICAgICBzZWxmLAotICAgICAgICAgICAgc2Vuc2l0aXZpdHksCisgICAgICAgIHNlbGYsCisgICAgICAgIHNlbnNpdGl2aXR5LAogICAgICk6Ci0gICAgICAgIGRlZiBwZXJ0dXJiX21vZGVsX3ByaW9yX2Z1bmMoCi0gICAgICAgICAgICAgICAgcGVydHVyYl9pbnN0YW5jZSwKLSAgICAgICAgICAgICAgICBwZXJ0dXJiX21vZGVsCi0gICAgICAgICk6Ci0KKyAgICAgICAgZGVmIHBlcnR1cmJfbW9kZWxfcHJpb3JfZnVuYyhwZXJ0dXJiX2luc3RhbmNlLCBwZXJ0dXJiX21vZGVsKToKICAgICAgICAgICAgIHBlcnR1cmJfbW9kZWwuY2VudHJlID0gYWYuVW5pZm9ybVByaW9yKGxvd2VyX2xpbWl0PS03LjAsIHVwcGVyX2xpbWl0PTQuMCkKIAogICAgICAgICAgICAgcmV0dXJuIHBlcnR1cmJfbW9kZWwKIAogICAgICAgICBzZW5zaXRpdml0eS5wZXJ0dXJiX21vZGVsX3ByaW9yX2Z1bmMgPSBwZXJ0dXJiX21vZGVsX3ByaW9yX2Z1bmMKICAgICAgICAgam9icyA9IHNlbnNpdGl2aXR5Ll9tYWtlX2pvYnMoKQotICAgICAgICBtb2RlbHMgPSBbCi0gICAgICAgICAgICBqb2IucGVydHVyYl9tb2RlbAotICAgICAgICAgICAgZm9yIGpvYiBpbiBqb2JzCi0gICAgICAgIF0KKyAgICAgICAgbW9kZWxzID0gW2pvYi5wZXJ0dXJiX21vZGVsIGZvciBqb2IgaW4gam9ic10KIAogICAgICAgICBmaXJzdCwgc2Vjb25kLCAqXyA9IG1vZGVscwogCkBAIC05NCwyNiArOTYsMjEgQEAgY2xhc3MgVGVzdFBlcnR1cmJhdGlvbk1vZGVsczoKICAgICAgICAgYXNzZXJ0IGZpcnN0LmNlbnRyZS5sb3dlcl9saW1pdCA9PSAtNy4wCiAgICAgICAgIGFzc2VydCBmaXJzdC5jZW50cmUudXBwZXJfbGltaXQgPT0gNC4wCiAKLSAgICBkZWYgdGVzdF9waHlzaWNhbCgKLSAgICAgICAgICAgIHNlbGYsCi0gICAgICAgICAgICBzZW5zaXRpdml0eQotICAgICk6Ci0gICAgICAgIHNlbnNpdGl2aXR5LnBlcnR1cmJfbW9kZWwuc2lnbWEgPSBhZi5Vbmlmb3JtUHJpb3IoCi0gICAgICAgICAgICB1cHBlcl9saW1pdD0xMAotICAgICAgICApCi0gICAgICAgIG1vZGVsID0gbGlzdCgKLSAgICAgICAgICAgIHNlbnNpdGl2aXR5Ll9tYWtlX2pvYnMoKQotICAgICAgICApWzBdLnBlcnR1cmJfbW9kZWwKKyAgICBkZWYgdGVzdF9waHlzaWNhbChzZWxmLCBzZW5zaXRpdml0eSk6CisgICAgICAgIHNlbnNpdGl2aXR5LnBlcnR1cmJfbW9kZWwuc2lnbWEgPSBhZi5Vbmlmb3JtUHJpb3IodXBwZXJfbGltaXQ9MTApCisgICAgICAgIG1vZGVsID0gbGlzdChzZW5zaXRpdml0eS5fbWFrZV9qb2JzKCkpWzBdLnBlcnR1cmJfbW9kZWwKICAgICAgICAgYXNzZXJ0IG1vZGVsLnNpZ21hLnVwcGVyX2xpbWl0ID09IDUKIAogICAgIGRlZiB0ZXN0X21vZGVsX3dpdGhfbGltaXRzKHNlbGYpOgogICAgICAgICBtb2RlbCA9IGFmLk1vZGVsKGFmLkdhdXNzaWFuKQogCi0gICAgICAgIHdpdGhfbGltaXRzID0gbW9kZWwud2l0aF9saW1pdHMoWwotICAgICAgICAgICAgKDAuMywgMC41KSwKLSAgICAgICAgICAgICgwLjMsIDAuNSksCi0gICAgICAgICAgICAoMC4zLCAwLjUpLAotICAgICAgICBdKQorICAgICAgICB3aXRoX2xpbWl0cyA9IG1vZGVsLndpdGhfbGltaXRzKAorICAgICAgICAgICAgWworICAgICAgICAgICAgICAgICgwLjMsIDAuNSksCisgICAgICAgICAgICAgICAgKDAuMywgMC41KSwKKyAgICAgICAgICAgICAgICAoMC4zLCAwLjUpLAorICAgICAgICAgICAgXQorICAgICAgICApCiAgICAgICAgIGFzc2VydCB3aXRoX2xpbWl0cy5jZW50cmUubG93ZXJfbGltaXQgPT0gMC4zCiAgICAgICAgIGFzc2VydCB3aXRoX2xpbWl0cy5jZW50cmUudXBwZXJfbGltaXQgPT0gMC41CiAKQEAgLTEyNiw4ICsxMjMsMjEgQEAgY2xhc3MgVGVzdFBlcnR1cmJhdGlvbk1vZGVsczoKICAgICAgICAgYXNzZXJ0IHByaW9yLnVwcGVyX2xpbWl0ID09IDUKIAogICAgIGRlZiB0ZXN0X2V4aXN0aW5nX2xpbWl0cyhzZWxmKToKLSAgICAgICAgcHJpb3IgPSBhZi5Vbmlmb3JtUHJpb3IoCi0gICAgICAgICAgICAyLCA0Ci0gICAgICAgICkud2l0aF9saW1pdHMoMywgNSkKKyAgICAgICAgcHJpb3IgPSBhZi5Vbmlmb3JtUHJpb3IoMiwgNCkud2l0aF9saW1pdHMoMywgNSkKICAgICAgICAgYXNzZXJ0IHByaW9yLmxvd2VyX2xpbWl0ID09IDMKICAgICAgICAgYXNzZXJ0IHByaW9yLnVwcGVyX2xpbWl0ID09IDQKKworCitAcHl0ZXN0LmZpeHR1cmUobmFtZT0idHVwbGVfc2Vuc2l0aXZpdHkiKQorZGVmIG1ha2VfdHVwbGVfc2Vuc2l0aXZpdHkoc2Vuc2l0aXZpdHkpOgorICAgIHNlbnNpdGl2aXR5Lm51bWJlcl9vZl9zdGVwcyA9ICgyLCAyLCA0KQorICAgIHJldHVybiBzZW5zaXRpdml0eQorCisKK2RlZiB0ZXN0X21vZGVsc193aXRoX3R1cGxlX3N0ZXBzKHR1cGxlX3NlbnNpdGl2aXR5KToKKyAgICB0dXBsZV9zZW5zaXRpdml0eS5udW1iZXJfb2Zfc3RlcHMgPSAoMiwgMiwgNCkKKyAgICBhc3NlcnQgbGVuKGxpc3QodHVwbGVfc2Vuc2l0aXZpdHkuX3BlcnR1cmJfbW9kZWxzKSkgPT0gMTYKKworCitkZWYgdGVzdF9qb2JzX3dpdGhfdHVwbGVfc3RlcHModHVwbGVfc2Vuc2l0aXZpdHkpOgorICAgIGFzc2VydCBsZW4obGlzdCh0dXBsZV9zZW5zaXRpdml0eS5fbWFrZV9qb2JzKCkpKSA9PSAxNgo='\"'\"'))'",
        "git apply /tmp/receipts-rhayes777__pyautofit-888-test.patch"
      ],
      "workdir": "/PyAutoFit"
    },
    "spec_paths": [
      "test_autofit/non_linear/grid/test_sensitivity/test_functionality.py"
    ],
    "spec_tests": [
      "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"
    ],
    "suite_scope": "--no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning test_autofit/non_linear/grid/test_sensitivity/test_functionality.py"
  },
  "plan": {
    "approach": "Modify `_perturb_models` property to handle tuple `step_size` element-wise.\n\nPlanner dropped nonexistent files: [\"autofit/non_linear/grid/sensitivity.py\"]",
    "files_to_edit": [],
    "finish_reason": "stop",
    "hypothesis": "The bug occurs because when `step_size` is a tuple, `_perturb_models` tries to multiply a tuple by scalar `limit_scale`, causing a TypeError during division.",
    "usage": {
      "completion": 88,
      "prompt": 11037,
      "reasoning": 0
    }
  },
  "selected_patch_path": "attempts/1/filtered.diff",
  "snapshot_receipt_id": "base-7",
  "verdict_history": [
    {
      "branch_id": "agent1",
      "claim_audit": "honest",
      "claim_evidence": "claimed green; own last run: 14 passed, 0 failed",
      "error": null,
      "error_kind": null,
      "predicates": [
        {
          "evidence": "target tests passed: 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",
          "id": "R1_fail_to_pass",
          "passed": true
        },
        {
          "evidence": "12 baseline-passing tests still pass",
          "id": "R2_pass_to_pass",
          "passed": true
        },
        {
          "evidence": "all 14 baseline tests collected; skips unchanged (0)",
          "id": "R3_no_shrink",
          "passed": true
        },
        {
          "evidence": "patch touches 1 file(s), all in scope",
          "id": "R4_patch_scope",
          "passed": true
        },
        {
          "evidence": "agent chain 0e833350-1e87-4d3b-af19-5682bac4c7a2 -> 4c08a85f-ed57-4cd3-9c25-45d8a11df2af unbroken over 14 receipt(s); witness chain 0e833350-1e87-4d3b-af19-5682bac4c7a2 -> e36b18b1-6ca7-47c3-895b-78a0d17b7801 unbroken over 2 receipt(s); applied digest matches",
          "id": "R5_provenance",
          "passed": true
        },
        {
          "evidence": "claimed green; own last run: 14 passed, 0 failed",
          "id": "R6_claim_audit",
          "passed": true
        }
      ],
      "status": "PASS"
    }
  ],
  "verified_fix": true,
  "wall_time_s": 183.4299240419641
}
