{ "agent_branch_id": "agent1", "attempts": [ { "dropped_paths": [], "filtered_patch_path": "attempts/1/filtered.diff", "filtered_sha256": "bd06a7e712c954e081ed3e173adff53a4eeb7c654b5e5633abfd8704538ccd4e", "number": 1, "patch_path": "attempts/1/patch.diff", "verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "regressed: gammapy/estimators/points/tests/test_sed.py::test_mask_shape (failed)", "id": "R2_pass_to_pass", "passed": false }, { "evidence": "all 22 baseline tests collected; skips unchanged (9)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain 91d95009-8be8-404e-b810-511cb8361d62 -> 429eee05-ef75-4787-a265-d9fdd23f0d91 unbroken over 24 receipt(s); witness chain 91d95009-8be8-404e-b810-511cb8361d62 -> 5ccd240b-6249-44b3-8fa4-29d1aaca8c0a unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, "witness_apply_sha256": "bd06a7e712c954e081ed3e173adff53a4eeb7c654b5e5633abfd8704538ccd4e", "witness_branch_id": "w1", "worker": { "claims": { "files_changed": [ "gammapy/datasets/evaluator.py" ], "full_suite_pass": false, "target_tests_pass": false, "tests_run": true }, "end": "finished", "receipt_ids": [ "agent1-2", "agent1-3", "agent1-4", "agent1-5", "agent1-6", "agent1-7", "agent1-8", "agent1-9", "agent1-10", "agent1-11", "agent1-12", "agent1-13", "agent1-14", "agent1-15", "agent1-16", "agent1-17", "agent1-18", "agent1-19", "agent1-20", "agent1-21", "agent1-22", "agent1-23" ], "summary": "Attempted to fix FluxPointsEstimator when edisp is None by modifying apply_edisp to return early npred when edisp is None, preserving diagonal conversion when edisp present. However, shape mismatches persisted due to inconsistent NPRED shape accumulation across energy band iterations. The fix did not resolve the test failures.", "turns": 29 } }, { "dropped_paths": [], "filtered_patch_path": "attempts/2/filtered.diff", "filtered_sha256": "f4311494a9068da62a7237b066a4f2385b62b0188fe765a4f747fcf8a6653e90", "number": 2, "patch_path": "attempts/2/patch.diff", "verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "10 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 22 baseline tests collected; skips unchanged (9)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain 91d95009-8be8-404e-b810-511cb8361d62 -> 49a46658-3600-4011-9185-b5a1bd09e397 unbroken over 27 receipt(s); witness chain 91d95009-8be8-404e-b810-511cb8361d62 -> 3044011c-8071-4db2-a319-ee1fd18d16d0 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, "witness_apply_sha256": "f4311494a9068da62a7237b066a4f2385b62b0188fe765a4f747fcf8a6653e90", "witness_branch_id": "w2", "worker": { "claims": { "files_changed": [ "gammapy/datasets/evaluator.py" ], "full_suite_pass": false, "target_tests_pass": false, "tests_run": true }, "end": "finished", "receipt_ids": [ "agent1-2", "agent1-3", "agent1-4", "agent1-5", "agent1-6", "agent1-7", "agent1-8", "agent1-9", "agent1-10", "agent1-11", "agent1-12", "agent1-13", "agent1-14", "agent1-15", "agent1-16", "agent1-17", "agent1-18", "agent1-19", "agent1-20", "agent1-21", "agent1-22", "agent1-23", "agent1-25", "agent1-26" ], "summary": "After multiple attempts to fix the FluxPointsEstimator failure when edisp is None by adjusting the apply_edisp method in gammapy/datasets/evaluator.py, the test suite still encounters errors (KeyError or shape mismatches). The fix was not successful within the allowed iterations.", "turns": 3 } } ], "baseline": { "collected_ids": [ "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_no_norm_scan", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_norm_spectral_model", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_small_edges", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray_actor_map", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray_actor_spectrum", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_aligned_energy_axes", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_uniform_datasets", "gammapy/estimators/points/tests/test_sed.py::test_global_n_jobs_default_handling", "gammapy/estimators/points/tests/test_sed.py::test_mask_shape", "gammapy/estimators/points/tests/test_sed.py::test_no_likelihood_contribution", "gammapy/estimators/points/tests/test_sed.py::test_reoptimize_no_free_parameters", "gammapy/estimators/points/tests/test_sed.py::test_run_ecpl", "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl_reoptimize", "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range", "gammapy/estimators/points/tests/test_sed.py::test_run_template_npred", "gammapy/estimators/points/tests/test_sed.py::test_str" ], "protected": [ "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_small_edges", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_aligned_energy_axes", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_uniform_datasets", "gammapy/estimators/points/tests/test_sed.py::test_global_n_jobs_default_handling", "gammapy/estimators/points/tests/test_sed.py::test_mask_shape", "gammapy/estimators/points/tests/test_sed.py::test_no_likelihood_contribution", "gammapy/estimators/points/tests/test_sed.py::test_run_ecpl", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range", "gammapy/estimators/points/tests/test_sed.py::test_str" ], "run_receipt_ids": [ "base-3", "base-4" ], "runs": [ { "collection_errors": [], "errors": [], "failed": [ "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing" ], "failure_text": { "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing": "[...]/gammapy/gammapy/modeling/fit.py\", line 223, in optimize\n factors, info, optimizer = compute(\n File \"/gammapy/gammapy/modeling/iminuit.py\", line 79, in optimize_iminuit\n minuit.migrad(**migrad_opts)\n File \"/usr/local/lib/python3.10/site-packages/iminuit/minuit.py\", line 852, in migrad\n fm = _robust_low_level_fit(\n File \"/usr/local/lib/python3.10/site-packages/iminuit/minuit.py\", line 2863, in _robust_low_level_fit\n fm = migrad(ncall, tolerance)\n File \"/gammapy/gammapy/modeling/iminuit.py\", line 25, in fcn\n total_stat = self.function()\n File \"/gammapy/gammapy/datasets/core.py\", line 240, in stat_sum\n stat_sum += dataset.stat_sum()\n File \"/gammapy/gammapy/datasets/map.py\", line 2651, in stat_sum\n return Dataset.stat_sum(self)\n File \"/gammapy/gammapy/datasets/core.py\", line 72, in stat_sum\n stat = self.stat_array()\n File \"/gammapy/gammapy/datasets/map.py\", line 2412, in stat_array\n mu_sig = self.npred_signal().data\n File \"/gammapy/gammapy/datasets/map.py\", line 729, in npred_signal\n npred = evaluator.compute_npred()\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 432, in compute_npred\n return self._compute_npred\n File \"/usr/local/lib/python3.10/site-packages/astropy/utils/decorators.py\", line 836, in __get__\n val = self.fget(obj)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 408, in _compute_npred\n values = method(self._computation_cache)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 391, in apply_edisp\n return apply_edisp(npred, self._edisp_diagonal)\n File \"/usr/local/lib/python3.10/site-packages/astropy/utils/decorators.py\", line 836, in __get__\n val = self.fget(obj)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 245, in _edisp_diagonal\n energy_axis_true=self.edisp.axes[\"energy_true\"],\nAttributeError: 'NoneType' object has no attribute 'axes'\n\"\"\"\n\nThe above exception was the direct cause of the following exception:\nE AttributeError: 'NoneType' object has no attribute 'axes'", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul": "AttributeError: 'NoneType' object has no attribute 'axes'\nE AttributeError: 'NoneType' object has no attribute 'axes'", "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip": "AttributeError: 'NoneType' object has no attribute 'axes'\nE AttributeError: 'NoneType' object has no attribute 'axes'" }, "passed": [ "gammapy/estimators/points/tests/test_sed.py::test_str", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_ecpl", "gammapy/estimators/points/tests/test_sed.py::test_no_likelihood_contribution", "gammapy/estimators/points/tests/test_sed.py::test_mask_shape", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_small_edges", "gammapy/estimators/points/tests/test_sed.py::test_global_n_jobs_default_handling", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_aligned_energy_axes", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_uniform_datasets" ], "skipped": [ "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl_reoptimize", "gammapy/estimators/points/tests/test_sed.py::test_run_template_npred", "gammapy/estimators/points/tests/test_sed.py::test_reoptimize_no_free_parameters", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_no_norm_scan", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray_actor_spectrum", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray_actor_map", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_norm_spectral_model" ] }, { "collection_errors": [], "errors": [], "failed": [ "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing" ], "failure_text": { "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing": "[...]/gammapy/gammapy/modeling/fit.py\", line 223, in optimize\n factors, info, optimizer = compute(\n File \"/gammapy/gammapy/modeling/iminuit.py\", line 79, in optimize_iminuit\n minuit.migrad(**migrad_opts)\n File \"/usr/local/lib/python3.10/site-packages/iminuit/minuit.py\", line 852, in migrad\n fm = _robust_low_level_fit(\n File \"/usr/local/lib/python3.10/site-packages/iminuit/minuit.py\", line 2863, in _robust_low_level_fit\n fm = migrad(ncall, tolerance)\n File \"/gammapy/gammapy/modeling/iminuit.py\", line 25, in fcn\n total_stat = self.function()\n File \"/gammapy/gammapy/datasets/core.py\", line 240, in stat_sum\n stat_sum += dataset.stat_sum()\n File \"/gammapy/gammapy/datasets/map.py\", line 2651, in stat_sum\n return Dataset.stat_sum(self)\n File \"/gammapy/gammapy/datasets/core.py\", line 72, in stat_sum\n stat = self.stat_array()\n File \"/gammapy/gammapy/datasets/map.py\", line 2412, in stat_array\n mu_sig = self.npred_signal().data\n File \"/gammapy/gammapy/datasets/map.py\", line 729, in npred_signal\n npred = evaluator.compute_npred()\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 432, in compute_npred\n return self._compute_npred\n File \"/usr/local/lib/python3.10/site-packages/astropy/utils/decorators.py\", line 836, in __get__\n val = self.fget(obj)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 408, in _compute_npred\n values = method(self._computation_cache)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 391, in apply_edisp\n return apply_edisp(npred, self._edisp_diagonal)\n File \"/usr/local/lib/python3.10/site-packages/astropy/utils/decorators.py\", line 836, in __get__\n val = self.fget(obj)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 245, in _edisp_diagonal\n energy_axis_true=self.edisp.axes[\"energy_true\"],\nAttributeError: 'NoneType' object has no attribute 'axes'\n\"\"\"\n\nThe above exception was the direct cause of the following exception:\nE AttributeError: 'NoneType' object has no attribute 'axes'", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul": "AttributeError: 'NoneType' object has no attribute 'axes'\nE AttributeError: 'NoneType' object has no attribute 'axes'", "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip": "AttributeError: 'NoneType' object has no attribute 'axes'\nE AttributeError: 'NoneType' object has no attribute 'axes'" }, "passed": [ "gammapy/estimators/points/tests/test_sed.py::test_str", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_ecpl", "gammapy/estimators/points/tests/test_sed.py::test_no_likelihood_contribution", "gammapy/estimators/points/tests/test_sed.py::test_mask_shape", "gammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_small_edges", "gammapy/estimators/points/tests/test_sed.py::test_global_n_jobs_default_handling", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_aligned_energy_axes", "gammapy/estimators/points/tests/test_sed.py::test_fpe_non_uniform_datasets" ], "skipped": [ "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl_reoptimize", "gammapy/estimators/points/tests/test_sed.py::test_run_template_npred", "gammapy/estimators/points/tests/test_sed.py::test_reoptimize_no_free_parameters", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_no_norm_scan", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray_actor_spectrum", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_ray_actor_map", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_norm_spectral_model" ] } ], "scope": { "c0_top_level": [ ".codacy.yml", ".github", ".gitignore", ".mailmap", ".pre-commit-config.yaml", "CITATION", "CITATION.cff", "CODE_OF_CONDUCT.md", "CONTRIBUTING.md", "LICENSE.rst", "LONG_DESCRIPTION.rst", "MANIFEST.in", "Makefile", "README.rst", "codemeta.json", "dev", "docs", "environment-dev.yml", "examples", "gammapy", "pyproject.toml", "setup.cfg", "setup.py", "tox.ini" ], "protected_names": [ "CITATION", "CITATION.cff", "CODE_OF_CONDUCT.md", "CONTRIBUTING.md", "LICENSE.rst", "LONG_DESCRIPTION.rst", "MANIFEST.in", "Makefile", 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"gammapy/estimators/points/tests/test_sed.py::test_reoptimize_no_free_parameters", "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl", "gammapy/estimators/points/tests/test_sed.py::test_run_map_pwl_reoptimize", "gammapy/estimators/points/tests/test_sed.py::test_run_template_npred" ], "spec_paths": [ "gammapy/estimators/points/tests/test_sed.py" ], "target": [ "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing" ], "target_failure_text": { "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing": "[...]/gammapy/gammapy/modeling/fit.py\", line 223, in optimize\n factors, info, optimizer = compute(\n File \"/gammapy/gammapy/modeling/iminuit.py\", line 79, in optimize_iminuit\n minuit.migrad(**migrad_opts)\n File \"/usr/local/lib/python3.10/site-packages/iminuit/minuit.py\", line 852, in migrad\n fm = _robust_low_level_fit(\n File \"/usr/local/lib/python3.10/site-packages/iminuit/minuit.py\", line 2863, in _robust_low_level_fit\n fm = migrad(ncall, tolerance)\n File \"/gammapy/gammapy/modeling/iminuit.py\", line 25, in fcn\n total_stat = self.function()\n File \"/gammapy/gammapy/datasets/core.py\", line 240, in stat_sum\n stat_sum += dataset.stat_sum()\n File \"/gammapy/gammapy/datasets/map.py\", line 2651, in stat_sum\n return Dataset.stat_sum(self)\n File \"/gammapy/gammapy/datasets/core.py\", line 72, in stat_sum\n stat = self.stat_array()\n File \"/gammapy/gammapy/datasets/map.py\", line 2412, in stat_array\n mu_sig = self.npred_signal().data\n File \"/gammapy/gammapy/datasets/map.py\", line 729, in npred_signal\n npred = evaluator.compute_npred()\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 432, in compute_npred\n return self._compute_npred\n File \"/usr/local/lib/python3.10/site-packages/astropy/utils/decorators.py\", line 836, in __get__\n val = self.fget(obj)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 408, in _compute_npred\n values = method(self._computation_cache)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 391, in apply_edisp\n return apply_edisp(npred, self._edisp_diagonal)\n File \"/usr/local/lib/python3.10/site-packages/astropy/utils/decorators.py\", line 836, in __get__\n val = self.fget(obj)\n File \"/gammapy/gammapy/datasets/evaluator.py\", line 245, in _edisp_diagonal\n energy_axis_true=self.edisp.axes[\"energy_true\"],\nAttributeError: 'NoneType' object has no attribute 'axes'\n\"\"\"\n\nThe above exception was the direct cause of the following exception:\nE AttributeError: 'NoneType' object has no attribute 'axes'", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul": "AttributeError: 'NoneType' object has no attribute 'axes'\nE AttributeError: 'NoneType' object has no attribute 'axes'", "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip": "AttributeError: 'NoneType' object has no attribute 'axes'\nE AttributeError: 'NoneType' object has no attribute 'axes'" }, "target_map": { "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing": [ "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing" ], "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul": [ "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul" ], "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip": [ "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip" ] }, "unstable": [] }, "checkpoint": { "digest": "91d95009-8be8-404e-b810-511cb8361d62", "id": "91d95009-8be8-404e-b810-511cb8361d62", "parent": "91d95009-8be8-404e-b810-511cb8361d62" }, "checkpoint_id": "91d95009-8be8-404e-b810-511cb8361d62", "cleanup_error": null, "cost": { "estimated_dollars": 0.1572348, "model_retries": {}, "models": { "nvidia/nemotron-3-super-120b-a12b": { "completion_tokens": 8527, "estimated_dollars": 0.1572348, "prompt_tokens": 498535, "reasoning_tokens": 0 } }, "planner_dollars": 0.0051663, "planner_tokens": 17181, "pricing_is_estimate": true, "sandbox_seconds": 94.93697074989487 }, "disclosure": { "executor_kind": "tokenfactory", "lock_sha256": "c4d4b8461002b6fb6bc893fce6d1f763c4967f616b7b80f0c23e337ed24a0729", "model": { "base_url": "https://api.tokenfactory.nebius.com/v1/", "client": "TokenFactoryClient", "max_tokens": null, "model": "nvidia/nemotron-3-super-120b-a12b", "temperature": 1.0, "thinking": false, "top_p": 0.95 }, "pytest_config_digests": { "gammapy/conftest.py": "ce8edf7085981b1ec69cf85fb9878dde076704f829344d6149e881f0607ac968", "pyproject.toml": "5968baa5eeed99a85f939d4275ae22d79ba25d58aa60e01a1e3aebf4f45c2dc7", "setup.cfg": "3f0bb2b9b75b6d232cfb2aa2f00c904a7792ceac7d9bec3d36e6ed44fd8753eb", "tox.ini": "c6321688c2a4a5151fc7c5f8572257c790d19836c2ca8d7c367e7f6d05cbbf4d" }, "receipts_version": "0.0.1", "test_digests": { "gammapy/estimators/points/tests/__init__.py": "ca4a951e07b61262034cc39df7a8760f218768cfe0a69ff02b3dcad4c9596627", "gammapy/estimators/points/tests/test_core.py": "6a658ec8e61890652ee54b02e14f340c079948fd62b4eff10f346f0a46cfec05", "gammapy/estimators/points/tests/test_lightcurve.py": "bf7d3e96156a84381baad6664ef413e4ccc08e80735bdb9e8fe05b6078f51576", "gammapy/estimators/points/tests/test_profile.py": "ad40df14769a27f5981a6a03d07933242e09ab95743c5ae725ec67b2bbeedda2", "gammapy/estimators/points/tests/test_sed.py": "8a090e23f56ac0fb1ab914bbc8c3b2aac69d6ac3453fe697cb29ccec526010c4", "gammapy/estimators/points/tests/test_sensitivity.py": "6ed76a041a6ee4c3ed56b088b781f53efcbbb4a163291eec5251713c6fad5202" } }, "final_verdict": { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "10 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 22 baseline tests collected; skips unchanged (9)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain 91d95009-8be8-404e-b810-511cb8361d62 -> 49a46658-3600-4011-9185-b5a1bd09e397 unbroken over 27 receipt(s); witness chain 91d95009-8be8-404e-b810-511cb8361d62 -> 3044011c-8071-4db2-a319-ee1fd18d16d0 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, "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": "FluxPointsEstimator fails if no edisp is set\n**Gammapy version**\r\npresent dev\r\n\r\n\r\n**Bug description**\r\n\r\nRunning `FluxPointsEstimator` on a dataset without an `edisp` gives a very confusing error message `ValueError: Can only stack equivalent maps or cutout of the same map.`\r\n\r\n\r\n**To Reproduce**\r\n\r\nSet `edisp=None` for any dataset (with e_true=e_reco) and proceed with flux points estimation in multiple energy bands (normal use case).\r\n\r\n**Expected behaviour**\r\nThe analysis fails (as expected) during the fitting stage if `energy_true` has a different binning from the `energy` axis with a more understandable error \r\n```\r\nFile ~/Gammapy-dev/gammapy/gammapy/datasets/evaluator.py:245, in MapEvaluator._edisp_diagonal(self)\r\n 242 @lazyproperty\r\n 243 def _edisp_diagonal(self):\r\n 244 return EDispKernel.from_diagonal_response(\r\n--> 245 energy_axis_true=self.edisp.axes[\"energy_true\"],\r\n 246 energy_axis=self.edisp.axes[\"energy\"],\r\n 247 )\r\n\r\nAttributeError: 'NoneType' object has no attribute 'axes'\r\n```\r\nHowever, if the `energy_axis` and the `energy_axis_true` have same binning, the fit proceeds fine and then the very confusing error is raised during flux points estimation.\r\n\r\n1. Either the flux estimator (and also the fit) should fail with a decent error message consistently for no edisp OR\r\n2. the diagonal edisp can be adapted with the `energy_axis` here \r\nhttps://github.com/gammapy/gammapy/blob/e9b22cdff573768ac2ab1e2a4a18250071ba3b60/gammapy/datasets/evaluator.py#L243\r\nto use the dataset energy axis.\r\n", "source": { "image": "docker.io/swerebenchv2/gammapy-gammapy:5342-c9521d5", "platform": "linux/amd64", "python": "python", "setup": [ "python -c 'import base64; from pathlib import Path; Path('\"'\"'/tmp/receipts-gammapy__gammapy-5342-test.patch'\"'\"').write_bytes(base64.b64decode('\"'\"'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'\"'\"'))'", "git apply /tmp/receipts-gammapy__gammapy-5342-test.patch" ], "workdir": "/gammapy" }, "spec_paths": [ "gammapy/estimators/points/tests/test_sed.py" ], "spec_tests": [ "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul", "gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing" ], "suite_scope": "--no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning gammapy/estimators/points/tests/test_sed.py" }, "plan": { "approach": "", "files_to_edit": [], "finish_reason": "stop", "hypothesis": "", "usage": { "completion": 20, "prompt": 17161, "reasoning": 0 } }, "selected_patch_path": null, "snapshot_receipt_id": "base-7", "verdict_history": [ { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "regressed: gammapy/estimators/points/tests/test_sed.py::test_mask_shape (failed)", "id": "R2_pass_to_pass", "passed": false }, { "evidence": "all 22 baseline tests collected; skips unchanged (9)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain 91d95009-8be8-404e-b810-511cb8361d62 -> 429eee05-ef75-4787-a265-d9fdd23f0d91 unbroken over 24 receipt(s); witness chain 91d95009-8be8-404e-b810-511cb8361d62 -> 5ccd240b-6249-44b3-8fa4-29d1aaca8c0a unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" }, { "branch_id": "agent1", "claim_audit": "honest", "claim_evidence": "did not claim green; verification did not pass", "error": null, "error_kind": null, "predicates": [ { "evidence": "gammapy/estimators/points/tests/test_sed.py::test_run_no_edip failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul failed; gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing failed", "id": "R1_fail_to_pass", "passed": false }, { "evidence": "10 baseline-passing tests still pass", "id": "R2_pass_to_pass", "passed": true }, { "evidence": "all 22 baseline tests collected; skips unchanged (9)", "id": "R3_no_shrink", "passed": true }, { "evidence": "patch touches 1 file(s), all in scope", "id": "R4_patch_scope", "passed": true }, { "evidence": "agent chain 91d95009-8be8-404e-b810-511cb8361d62 -> 49a46658-3600-4011-9185-b5a1bd09e397 unbroken over 27 receipt(s); witness chain 91d95009-8be8-404e-b810-511cb8361d62 -> 3044011c-8071-4db2-a319-ee1fd18d16d0 unbroken over 2 receipt(s); applied digest matches", "id": "R5_provenance", "passed": true }, { "evidence": "did not claim green; verification did not pass", "id": "R6_claim_audit", "passed": true } ], "status": "REJECTED" } ], "verified_fix": false, "wall_time_s": 367.5371722090058 }