{"receipt_id":"w1-1","seq":1,"branch_id":"w1","kind":"apply","cmd":"git update-index -q --refresh; git apply -v --3way --recount --ignore-space-change --whitespace=nowarn /opt/receipts-e39bae164d9d43a1bbd02e2142e22634/incoming/bd06a7e712c954e081ed3e173adff53a4eeb7c654b5e5633abfd8704538ccd4e.diff","path":null,"exit_code":0,"stdout_tail":"","stderr_tail":"Checking patch gammapy/datasets/evaluator.py...\nApplied patch to 'gammapy/datasets/evaluator.py' cleanly.\nApplied patch gammapy/datasets/evaluator.py cleanly.\n","stdout_sha256":"663adaddde8d24c09fea3ca33c230b2d9ec4fd32d3d320603341a81dab7adc69","log_path":"~/dev/nebius-hackathon/pilot/v2-P/gammapy__gammapy-5342/runs/pilot-gammapy__gammapy-5342-56a1561ee1/logs/w1/w1-1.log","tree_digest":"dc9c1539a6f71da0ffb683f95c6bbf71a3eb92cd3c4f353ec0db03529ab66fe4","tree_download_s":3.4878961250651628,"started_at":"2026-10-03T19:32:38.802925Z","duration_s":0.015432000000000001,"timed_out":false,"image_before":"91d95009-8be8-404e-b810-511cb8361d62","image_after":"3154a038-b4a4-416b-8966-18589efe0acb","junit":null,"diff":null,"patch_sha256":"bd06a7e712c954e081ed3e173adff53a4eeb7c654b5e5633abfd8704538ccd4e","dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"w1-2","seq":2,"branch_id":"w1","kind":"verification","cmd":"/opt/receipts-c04a25c74cd4416da2311b70e92a083c/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-c04a25c74cd4416da2311b70e92a083c/receipts_pytest.py --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning gammapy/estimators/points/tests/test_sed.py -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/w1-2.xml","path":null,"exit_code":1,"stdout_tail":"y/units/quantity.py:671: RuntimeWarning: divide by zero encountered in divide\n    result = super().__array_ufunc__(function, method, *arrays, **kwargs)\n\ngammapy/estimators/points/tests/test_sed.py::test_run_pwl\ngammapy/estimators/points/tests/test_sed.py::test_run_no_edip\ngammapy/estimators/points/tests/test_sed.py::test_no_likelihood_contribution\ngammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range\ngammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range\n  /usr/local/lib/python3.10/site-packages/astropy/units/quantity.py:671: RuntimeWarning: invalid value encountered in multiply\n    result = super().__array_ufunc__(function, method, *arrays, **kwargs)\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n==================================== PASSES ====================================\n_________________________________ test_run_pwl _________________________________\n------------------------------ Captured log call -------------------------------\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\n________________________________ test_run_ecpl _________________________________\n------------------------------ Captured log call -------------------------------\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\n_________________________ test_run_pwl_parameter_range _________________________\n------------------------------ Captured log call -------------------------------\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\nWARNING  gammapy.modeling.iminuit:iminuit.py:117 Reoptimize = False ignored for iminuit backend\n____________________ test_flux_points_estimator_small_edges ____________________\n------------------------------ Captured log call -------------------------------\nWARNING  gammapy.estimators.points.sed:sed.py:210 No dataset contribute in range 0.36869450645195756 TeV-0.3981071705534972 TeV\n-------------- generated xml file: /opt/receipts/reports/w1-2.xml --------------\n=========================== short test summary info ============================\nPASSED gammapy/estimators/points/tests/test_sed.py::test_str\nPASSED gammapy/estimators/points/tests/test_sed.py::test_run_pwl\nPASSED gammapy/estimators/points/tests/test_sed.py::test_run_ecpl\nPASSED gammapy/estimators/points/tests/test_sed.py::test_no_likelihood_contribution\nPASSED gammapy/estimators/points/tests/test_sed.py::test_run_pwl_parameter_range\nPASSED gammapy/estimators/points/tests/test_sed.py::test_flux_points_estimator_small_edges\nPASSED gammapy/estimators/points/tests/test_sed.py::test_global_n_jobs_default_handling\nPASSED gammapy/estimators/points/tests/test_sed.py::test_fpe_non_aligned_energy_axes\nPASSED gammapy/estimators/points/tests/test_sed.py::test_fpe_non_uniform_datasets\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:365: Missing data: gammapy-data\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:408: Missing data: gammapy-data\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:458: Missing data: gammapy-data\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:483: Missing data: gammapy-data\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:492: Missing data: gammapy-data\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:669: Missing dependency: ray\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:683: Missing dependency: ray\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:692: Missing dependency: ray\nSKIPPED [1] gammapy/estimators/points/tests/test_sed.py:769: Missing data: gammapy-data\nFAILED gammapy/estimators/points/tests/test_sed.py::test_run_no_edip - ValueE...\nFAILED gammapy/estimators/points/tests/test_sed.py::test_mask_shape - ValueEr...\nFAILED gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul\nFAILED gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing\n============= 4 failed, 9 passed, 9 skipped, 10 warnings in 3.55s ==============\n","stderr_tail":"","stdout_sha256":"bba77d33cd578d7af5f628428836be1e4cd2f3ec1988731609748effd1a4961c","log_path":"~/dev/nebius-hackathon/pilot/v2-P/gammapy__gammapy-5342/runs/pilot-gammapy__gammapy-5342-56a1561ee1/logs/w1/w1-2.log","tree_digest":"dc9c1539a6f71da0ffb683f95c6bbf71a3eb92cd3c4f353ec0db03529ab66fe4","tree_download_s":4.772848499938846,"started_at":"2026-10-03T19:32:44.313787Z","duration_s":8.179054,"timed_out":false,"image_before":"3154a038-b4a4-416b-8966-18589efe0acb","image_after":"5ccd240b-6249-44b3-8fa4-29d1aaca8c0a","junit":{"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_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"],"failed":["gammapy/estimators/points/tests/test_sed.py::test_run_no_edip","gammapy/estimators/points/tests/test_sed.py::test_mask_shape","gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul","gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing"],"errors":[],"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":[],"failure_text":{"gammapy/estimators/points/tests/test_sed.py::test_run_no_edip":"ValueError: operands could not be broadcast together with shapes (5,1,1) (20,1,1) (5,1,1)\nE   ValueError: operands could not be broadcast together with shapes (5,1,1) (20,1,1) (5,1,1)","gammapy/estimators/points/tests/test_sed.py::test_mask_shape":"ValueError: Can only stack equivalent maps or cutout of the same map.\nE   ValueError: Can only stack equivalent maps or cutout of the same map.","gammapy/estimators/points/tests/test_sed.py::test_flux_points_recompute_ul":"ValueError: operands could not be broadcast together with shapes (5,1,1) (20,1,1) (5,1,1)\nE   ValueError: operands could not be broadcast together with shapes (5,1,1) (20,1,1) (5,1,1)","gammapy/estimators/points/tests/test_sed.py::test_flux_points_parallel_multiprocessing":"[...]points/sed.py\", line 208, in estimate_flux_point\n    return super().run(datasets=datasets_sliced)\n  File \"/gammapy/gammapy/estimators/flux.py\", line 224, in run\n    result.update(super().run(datasets, model.norm))\n  File \"/gammapy/gammapy/estimators/parameter.py\", line 336, in run\n    result = self.estimate_best_fit(datasets, parameter)\n  File \"/gammapy/gammapy/estimators/parameter.py\", line 108, in estimate_best_fit\n    result = self.fit.run(datasets=datasets)\n  File \"/gammapy/gammapy/modeling/fit.py\", line 174, in run\n    optimize_result = self.optimize(datasets=datasets)\n  File \"/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 731, in npred_signal\n    npred_total.stack(npred)\n  File \"/gammapy/gammapy/maps/region/ndmap.py\", line 708, in stack\n    self.data += data\nValueError: operands could not be broadcast together with shapes (5,1,1) (20,1,1) (5,1,1) \n\"\"\"\n\nThe above exception was the direct cause of the following exception:\nE   ValueError: operands could not be broadcast together with shapes (5,1,1) (20,1,1) (5,1,1)"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}