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        "public-request-172",
        "public-request-177",
        "public-request-181",
        "public-request-185",
        "public-request-194",
        "public-request-199",
        "public-request-204",
        "public-request-209",
        "public-request-211",
        "public-request-218",
        "public-request-219",
        "public-request-223",
        "public-request-229",
        "public-request-237",
        "public-request-240",
        "public-request-243",
        "public-request-254",
        "public-request-255"
      ],
      "tokens": {
        "completion_tokens": null,
        "prompt_tokens": null,
        "total_tokens": null
      },
      "trajectory": {
        "path": "private-evidence-path-023",
        "sha256": "2c7c1adc4ada7d1904efa1ae34def566d788e5bff67cabc104a0ea2990e65433"
      }
    }
  ],
  "official_grader_complete": false,
  "ownership_id": "public-run-001",
  "paired_image_ids": {
    "django__django-13512": "sha256:730eab5b64c03ed8e8c94064da483db36fbd79d2465ffa98809acc6282bcfd82",
    "pydata__xarray-4356": "sha256:6783a6b3a574ea663b66d11da371b6fe00a18c6501e361e1384c8daeb978bf5c",
    "pylint-dev__pylint-8898": "sha256:a78e6034f627c1ae69c67b5a25ae5420192afb7279a4fd032a74095752e707d7",
    "sphinx-doc__sphinx-9658": "sha256:f8847eb2c89ef395c61e91c1f00166b274b2742aee6f310e3a315a10999f1e93",
    "sympy__sympy-12096": "sha256:278dcceabbf7775dee7ee59434fd829e857d5476ac9e547fe9f9f204b2c3f4fe"
  },
  "plan_sha256": "60a84782dae53ccb409d3831be3ad010360af95ad2fdeb3eb4d5c0c1fb0196be",
  "profile": "scout",
  "profile_sha256": "fce0e6e1e7497585bdfc6f76507d3baaff99a6b4f174d841d268de20c68de7f6",
  "promotion": {
    "authorized": false,
    "message": "Benchmark evidence does not authorize model promotion."
  },
  "request_controls": {
    "reasoning_effort": "xhigh",
    "sampling": {
      "temperature": {
        "effective_request": 1.0,
        "requested": 1.0,
        "sent": true
      },
      "top_p": {
        "effective_request": 0.95,
        "requested": 0.95,
        "sent": true
      }
    },
    "thinking_mode": "default"
  },
  "run_id": "public-run-004",
  "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": [
        "private-evidence-path-017",
        "private-evidence-path-014",
        "--output",
        "private-evidence-path-019",
        "--model",
        "openai/public-served-model-001",
        "--subset",
        "private-evidence-path-015",
        "--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",
        "private-evidence-path-013",
        "--config",
        "private-evidence-path-018"
      ],
      "duration_s": 5956.667001,
      "failure_class": "model_failure",
      "name": "agent",
      "output_truncated": false,
      "returncode": 0,
      "status": "failed",
      "stderr": "",
      "stdout": "minisweagent: INFO: Results will be saved to                                    \nprivate-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-005private-evidence-path-035\nkv-131k-xhigh-swe5private-evidence-path-061                                             \nLogging to 'private-evidence-path-021'\nminisweagent: INFO: Loading dataset                                             \nprivate-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-004private-evidence-path-041\nta, split test...                                                               \nminisweagent: INFO: Instance filter: 500 -> 5 instances                         \nminisweagent: INFO: Running on 5 instances...                                   \nminisweagent: INFO: Building agent config from specs:                           \n['private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-002/mini-swe-agent/a83fcae82d2a08f0ee0c688f9d137b3566c097f8/src/\nminisweagentprivate-evidence-path-007',                                  \n'private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-003private-evidence-path-034\n6kv-131k-xhigh-swe5private-evidence-path-060']                                \nminisweagent.environment: DEBUG: Starting container with command:               \nprivate-evidence-path-058 run -d --name public-worker-002 -w private-evidence-path-057 --platform      \nlinuxprivate-evidence-path-006 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.ioprivate-evidence-path-052 sleep 2h    \nminisweagent.environment: INFO: Started container public-worker-002 with ID \npublic-worker-container-003                \nminisweagent: INFO: Saved trajectory to                                         \n'private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-003private-evidence-path-034\n6kv-131k-xhigh-swe5private-evidence-path-062\nraj.json'                                                                       \nminisweagent.environment: DEBUG: Starting container with command:               \nprivate-evidence-path-058 run -d --name public-worker-004 -w private-evidence-path-057 --platform      \nlinuxprivate-evidence-path-006 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.ioprivate-evidence-path-053 sleep 2h     \nminisweagent.environment: INFO: Started container public-worker-004 with ID \npublic-worker-container-004                \nminisweagent: INFO: Saved trajectory to                                         \n'private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-003private-evidence-path-034\n6kv-131k-xhigh-swe5private-evidence-path-063\nj.json'                                                                         \nminisweagent.environment: DEBUG: Starting container with command:               \nprivate-evidence-path-058 run -d --name public-worker-003 -w private-evidence-path-057 --platform      \nlinuxprivate-evidence-path-006 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.ioprivate-evidence-path-054 sleep 2h \nminisweagent.environment: INFO: Started container public-worker-003 with ID \npublic-worker-container-001                \nminisweagent: INFO: Saved trajectory to                                         \n'private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-003private-evidence-path-034\n6kv-131k-xhigh-swe5private-evidence-path-064\n8898.traj.json'                                                                 \nminisweagent.environment: DEBUG: Starting container with command:               \nprivate-evidence-path-058 run -d --name public-worker-005 -w private-evidence-path-057 --platform      \nlinuxprivate-evidence-path-006 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.ioprivate-evidence-path-055 sleep 2h \nminisweagent.environment: INFO: Started container public-worker-005 with ID \npublic-worker-container-005                \nminisweagent: INFO: Saved trajectory to                                         \n'private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-003private-evidence-path-034\n6kv-131k-xhigh-swe5private-evidence-path-065\n9658.traj.json'                                                                 \nminisweagent.environment: DEBUG: Starting container with command:               \nprivate-evidence-path-058 run -d --name public-worker-001 -w private-evidence-path-057 --platform      \nlinuxprivate-evidence-path-006 --network none --rm --memory 8g --memory-swap 8g --cpus 4           \n--pids-limit 512 --pull never                                                   \ndocker.ioprivate-evidence-path-056 sleep 2h      \nminisweagent.environment: INFO: Started container public-worker-001 with ID \npublic-worker-container-002                \nminisweagent: INFO: Saved trajectory to                                         \n'private-evidence-root-002/private-path-component-001/hosts/public-host-001/private-path-component-008/private-path-component-003private-evidence-path-034\n6kv-131k-xhigh-swe5private-evidence-path-066\njson'                                                                           \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 5private-evidence-path-003 100% 1:39:15 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 Submitted      \u2502     4 \u2502 sympy__sympy-12096, pylint-dev__pylint-8898,        \u2502\n\u2502                \u2502       \u2502 pydata_...                                          \u2502\n\u2502 LimitsExceeded \u2502     1 \u2502 sphinx-doc__sphinx-9658                             \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": [
        "private-evidence-path-017",
        "private-evidence-path-030",
        "--grader-root",
        "private-evidence-path-016",
        "--adapter-sha256",
        "23c56b27d62b79c39aca6dcfdd4c504030e241e3a6941620cdc6e947b9035a7b",
        "--receipt",
        "private-evidence-path-027",
        "--image-identities",
        "private-evidence-path-028",
        "--image-identities-sha256",
        "e2880b3b24051b0658dd3095f7564ae592ab970e110fed76028f3a8a301f9b65",
        "--",
        "--dataset_name",
        "private-evidence-path-015",
        "--split",
        "test",
        "--predictions_path",
        "private-evidence-path-029",
        "--max_workers",
        "1",
        "--namespace",
        "swebench",
        "--run_id",
        "public-run-004",
        "--timeout",
        "1800",
        "--report_dir",
        "private-evidence-path-026",
        "--instance_ids",
        "sphinx-doc__sphinx-9658",
        "sympy__sympy-12096",
        "django__django-13512",
        "pydata__xarray-4356",
        "pylint-dev__pylint-8898"
      ],
      "duration_s": 99.038513,
      "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%|          | 0/4 [00:00<?, ?it/s, error=0, \u2713=0, \u2716=0]\rEvaluation:   0%|          | 0/4 [00:19<?, ?it/s, \u2713=0, \u2716=1, error=0]\rEvaluation:  25%|\u2588\u2588\u258c       | 1/4 [00:19<00:57, 19.21s/it, \u2713=0, \u2716=1, error=0]\rEvaluation:  25%|\u2588\u2588\u258c       | 1/4 [00:42<00:57, 19.21s/it, \u2713=1, \u2716=1, error=0]\rEvaluation:  50%|\u2588\u2588\u2588\u2588\u2588     | 2/4 [00:42<00:42, 21.49s/it, \u2713=1, \u2716=1, error=0]\rEvaluation:  50%|\u2588\u2588\u2588\u2588\u2588     | 2/4 [01:08<00:42, 21.49s/it, \u2713=1, \u2716=2, error=0]\rEvaluation:  75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 3/4 [01:08<00:23, 23.63s/it, \u2713=1, \u2716=2, error=0]\rEvaluation:  75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c  | 3/4 [01:26<00:23, 23.63s/it, \u2713=2, \u2716=2, error=0]\rEvaluation: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 4/4 [01:26<00:00, 21.35s/it, \u2713=2, \u2716=2, error=0]\rEvaluation: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 4/4 [01:26<00:00, 21.58s/it, \u2713=2, \u2716=2, error=0]\n",
      "stdout": "Found 4 existing instance images. Will reuse them.\nRunning 4 instances...\nAll instances run.\nCleaning cached images...\nRemoved 0 images.\nTotal instances: 5\nInstances submitted: 5\nInstances completed: 4\nInstances incomplete: 0\nInstances resolved: 2\nInstances unresolved: 2\nInstances with empty patches: 1\nInstances with errors: 0\nUnstopped containers: 0\nUnremoved images: 5\nReport written to openai__public-served-model-001.public-run-004.json\n"
    }
  ],
  "state": "incomplete",
  "summary": {
    "attempted": 5,
    "graded": 4,
    "resolve_rate": 0.5,
    "resolved": 2
  },
  "task_container_network": "none"
}
