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  "official_grader_complete": false,
  "ownership_id": "qualification-20261013",
  "paired_image_ids": {
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    "pydata__xarray-4356": "sha256:6783a6b3a574ea663b66d11da371b6fe00a18c6501e361e1384c8daeb978bf5c",
    "pylint-dev__pylint-8898": "sha256:a78e6034f627c1ae69c67b5a25ae5420192afb7279a4fd032a74095752e707d7",
    "sphinx-doc__sphinx-9658": "sha256:f8847eb2c89ef395c61e91c1f00166b274b2742aee6f310e3a315a10999f1e93",
    "sympy__sympy-12096": "sha256:278dcceabbf7775dee7ee59434fd829e857d5476ac9e547fe9f9f204b2c3f4fe"
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  "plan_sha256": "b2a3a7b8b27e5dec669599e5183d201e92de5d47b47e65684027e6c7b639e0e1",
  "profile": "scout",
  "profile_sha256": "fce0e6e1e7497585bdfc6f76507d3baaff99a6b4f174d841d268de20c68de7f6",
  "promotion": {
    "authorized": false,
    "message": "Benchmark evidence does not authorize model promotion."
  },
  "request_controls": {
    "reasoning_effort": "max",
    "sampling": {
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        "effective_request": 1.0,
        "requested": 1.0,
        "sent": true
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        "requested": 0.95,
        "sent": true
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    "thinking_mode": "default"
  },
  "run_id": "qualification-20261013-deepseek-tp1-131k-max-swe5-r2",
  "schema": "anvil-serving.swe-run/v1",
  "selection": {
    "instance_ids": [
      "sphinx-doc__sphinx-9658",
      "sympy__sympy-12096",
      "django__django-13512",
      "pydata__xarray-4356",
      "pylint-dev__pylint-8898"
    ],
    "kind": "explicit_instance_ids",
    "sha256": "622934396fb97d950f803dfbb0791f6a398a5a6fe0fd94cc27b329f1a953cac4"
  },
  "split": "test",
  "stages": [
    {
      "command": [
        "[redacted-local-path]",
        "[redacted-local-path]",
        "--output",
        "[redacted-local-path]",
        "--model",
        "openai/b5526babe907141a0750f265a5a2a5cf414f5a64",
        "--subset",
        "[redacted-local-path]",
        "--split",
        "test",
        "--filter",
        "^(?:sphinx\\-doc__sphinx\\-9658|sympy__sympy\\-12096|django__django\\-13512|pydata__xarray\\-4356|pylint\\-dev__pylint\\-8898)$",
        "--workers",
        "1",
        "--environment-class",
        "docker",
        "--config",
        "[redacted-local-path]",
        "--config",
        "[redacted-local-path]"
      ],
      "duration_s": 1849.93815,
      "failure_class": "model_failure",
      "name": "agent",
      "output_truncated": false,
      "returncode": 0,
      "status": "failed",
      "stderr": "",
      "stdout": "minisweagent: INFO: Results will be saved to                                    \n[redacted-local-path]\nark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-swe\n5-r2/work/mini-output                                                           \nLogging to '[redacted-local-path]'\nminisweagent: INFO: Loading dataset                                             \n[redacted-local-path]\nark-harness-cache/swe-bench-verified/c104f840cc67f8b6eec6f759ebc8b2693d585d4a/da\nta, split test...                                                               \nminisweagent: INFO: Instance filter: 500 -> 5 instances                         \nminisweagent: INFO: Running on 5 instances...                                   \nminisweagent: INFO: Building agent config from specs:                           \n['[redacted-local-path]\nhmark-harness-cache/mini-swe-agent/a83fcae82d2a08f0ee0c688f9d137b3566c097f8/src/\nminisweagent/config/benchmarks/swebench.yaml',                                  \n'[redacted-local-path]\nmark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-sw\ne5-r2/work/anvil-swe-config.yaml']                                              \nminisweagent.environment: DEBUG: Starting container with command:               \n/usr/bin/docker run -d --name [redacted-task-container-name] -w /testbed --platform      \nlinux/amd64 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.io/swebench/sweb.eval.x86_64.django_1776_django-13512:latest sleep 2h    \nminisweagent.environment: INFO: Started container [redacted-task-container-name] with ID \n[redacted-task-container-id]                \nminisweagent: INFO: Saved trajectory to                                         \n'[redacted-local-path]\nmark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-sw\ne5-r2/work/mini-output/django__django-13512/django__django-13512.traj.json'     \nminisweagent.environment: DEBUG: Starting container with command:               \n/usr/bin/docker run -d --name [redacted-task-container-name] -w /testbed --platform      \nlinux/amd64 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.io/swebench/sweb.eval.x86_64.pydata_1776_xarray-4356:latest sleep 2h     \nminisweagent.environment: INFO: Started container [redacted-task-container-name] with ID \n[redacted-task-container-id]                \nminisweagent: INFO: Saved trajectory to                                         \n'[redacted-local-path]\nmark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-sw\ne5-r2/work/mini-output/pydata__xarray-4356/pydata__xarray-4356.traj.json'       \nminisweagent.environment: DEBUG: Starting container with command:               \n/usr/bin/docker run -d --name [redacted-task-container-name] -w /testbed --platform      \nlinux/amd64 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.io/swebench/sweb.eval.x86_64.pylint-dev_1776_pylint-8898:latest sleep 2h \nminisweagent.environment: INFO: Started container [redacted-task-container-name] with ID \n[redacted-task-container-id]                \nminisweagent: INFO: Saved trajectory to                                         \n'[redacted-local-path]\nmark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-sw\ne5-r2/work/mini-output/pylint-dev__pylint-8898/pylint-dev__pylint-8898.traj.json\n'                                                                               \nminisweagent.environment: DEBUG: Starting container with command:               \n/usr/bin/docker run -d --name [redacted-task-container-name] -w /testbed --platform      \nlinux/amd64 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.io/swebench/sweb.eval.x86_64.sphinx-doc_1776_sphinx-9658:latest sleep 2h \nminisweagent.environment: INFO: Started container [redacted-task-container-name] with ID \n[redacted-task-container-id]                \nminisweagent: INFO: Saved trajectory to                                         \n'[redacted-local-path]\nmark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-sw\ne5-r2/work/mini-output/sphinx-doc__sphinx-9658/sphinx-doc__sphinx-9658.traj.json\n'                                                                               \nminisweagent.environment: DEBUG: Starting container with command:               \n/usr/bin/docker run -d --name [redacted-task-container-name] -w /testbed --platform      \nlinux/amd64 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.io/swebench/sweb.eval.x86_64.sympy_1776_sympy-12096:latest sleep 2h      \nminisweagent.environment: INFO: Started container [redacted-task-container-name] with ID \n[redacted-task-container-id]                \nminisweagent: INFO: Saved trajectory to                                         \n'[redacted-local-path]\nmark-runs/qualification-20261013/qualification-20261013-deepseek-tp1-131k-max-sw\ne5-r2/work/mini-output/sympy__sympy-12096/sympy__sympy-12096.traj.json'         \n  Overall Progress ($0.00) \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 5/5 100% 0:30:48 eta: 0:00:00\n\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 Exit Status    \u2503 Count \u2503 Most recent instances                               \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 LimitsExceeded \u2502     4 \u2502 sympy__sympy-12096, sphinx-doc__sphinx-9658,        \u2502\n\u2502                \u2502       \u2502 pylint-...                                          \u2502\n\u2502 Submitted      \u2502     1 \u2502 django__django-13512                                \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518"
    },
    {
      "command": [
        "[redacted-local-path]",
        "[redacted-local-path]",
        "--grader-root",
        "[redacted-local-path]",
        "--adapter-sha256",
        "23c56b27d62b79c39aca6dcfdd4c504030e241e3a6941620cdc6e947b9035a7b",
        "--receipt",
        "[redacted-local-path]",
        "--image-identities",
        "[redacted-local-path]",
        "--image-identities-sha256",
        "e2880b3b24051b0658dd3095f7564ae592ab970e110fed76028f3a8a301f9b65",
        "--",
        "--dataset_name",
        "[redacted-local-path]",
        "--split",
        "test",
        "--predictions_path",
        "[redacted-local-path]",
        "--max_workers",
        "1",
        "--namespace",
        "swebench",
        "--run_id",
        "qualification-20261013-deepseek-tp1-131k-max-swe5-r2",
        "--timeout",
        "1800",
        "--report_dir",
        "[redacted-local-path]",
        "--instance_ids",
        "sphinx-doc__sphinx-9658",
        "sympy__sympy-12096",
        "django__django-13512",
        "pydata__xarray-4356",
        "pylint-dev__pylint-8898"
      ],
      "duration_s": 32.011606,
      "failure_class": "test_failure",
      "name": "official_grader",
      "output_truncated": false,
      "returncode": 0,
      "status": "failed",
      "stderr": "<frozen runpy>:128: RuntimeWarning: 'swebench.harness.run_evaluation' found in sys.modules after import of package 'swebench.harness', but prior to execution of 'swebench.harness.run_evaluation'; this may result in unpredictable behaviour\n\rEvaluation:   0%|          | 0/1 [00:00<?, ?it/s, error=0, \u2713=0, \u2716=0]\rEvaluation:   0%|          | 0/1 [00:19<?, ?it/s, \u2713=1, \u2716=0, error=0]\rEvaluation: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1/1 [00:19<00:00, 19.55s/it, \u2713=1, \u2716=0, error=0]\rEvaluation: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1/1 [00:19<00:00, 19.55s/it, \u2713=1, \u2716=0, error=0]\n",
      "stdout": "Found 1 existing instance images. Will reuse them.\nRunning 1 instances...\nAll instances run.\nCleaning cached images...\nRemoved 0 images.\nTotal instances: 5\nInstances submitted: 5\nInstances completed: 1\nInstances incomplete: 0\nInstances resolved: 1\nInstances unresolved: 0\nInstances with empty patches: 4\nInstances with errors: 0\nUnstopped containers: 0\nUnremoved images: 5\nReport written to openai__b5526babe907141a0750f265a5a2a5cf414f5a64.qualification-20261013-deepseek-tp1-131k-max-swe5-r2.json\n"
    }
  ],
  "state": "incomplete",
  "summary": {
    "attempted": 5,
    "graded": 1,
    "resolve_rate": 1.0,
    "resolved": 1
  },
  "task_container_network": "none"
}