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        "poplib",
        "posix",
        "posixpath",
        "pprint",
        "profile",
        "propcache",
        "pstats",
        "pty",
        "pwd",
        "py",
        "py_compile",
        "pyclbr",
        "pydantic",
        "pydantic_core",
        "pydoc",
        "pydoc_data",
        "pydoctor",
        "pyexpat",
        "pygments",
        "pytest",
        "pytest_asyncio",
        "python_multipart",
        "queue",
        "quopri",
        "random",
        "re",
        "readline",
        "reprlib",
        "requests",
        "resource",
        "rlcompleter",
        "runpy",
        "sched",
        "secrets",
        "select",
        "selectors",
        "setup",
        "setup.cfg",
        "shelve",
        "shlex",
        "shutil",
        "signal",
        "simple_websocket",
        "site",
        "six",
        "smtplib",
        "sndhdr",
        "sniffio",
        "socket",
        "socketio",
        "socketserver",
        "spwd",
        "sqlite3",
        "sre_compile",
        "sre_constants",
        "sre_parse",
        "ssl",
        "stat",
        "statistics",
        "string",
        "stringprep",
        "struct",
        "subprocess",
        "sunau",
        "symtable",
        "sys",
        "sysconfig",
        "syslog",
        "tabnanny",
        "tarfile",
        "telnetlib",
        "tempfile",
        "termios",
        "textwrap",
        "this",
        "threading",
        "time",
        "timeit",
        "tkinter",
        "token",
        "tokenize",
        "toml",
        "tomllib",
        "tox.ini",
        "trace",
        "traceback",
        "tracemalloc",
        "truststore",
        "tty",
        "turtle",
        "turtledemo",
        "twisted.cfg",
        "types",
        "typing",
        "typing_extensions",
        "typing_inspection",
        "unicodedata",
        "unittest",
        "urllib",
        "urllib3",
        "uu",
        "uuid",
        "venv",
        "warnings",
        "wave",
        "weakref",
        "webbrowser",
        "websocket",
        "winreg",
        "winsound",
        "wrapt",
        "wrapt-stubs",
        "wsgiref",
        "wsproto",
        "xdrlib",
        "xml",
        "xmlrpc",
        "yarl",
        "zipapp",
        "zipfile",
        "zipimport",
        "zlib",
        "zoneinfo"
      ]
    },
    "skipped_ids": [
      "pydoctor/test/test_astbuilder.py::test_function_argspec_with_tuple"
    ],
    "spec_paths": [
      "pydoctor/test/test_astbuilder.py"
    ],
    "target": [
      "pydoctor/test/test_astbuilder.py::test_docstring_assignment"
    ],
    "target_failure_text": {
      "pydoctor/test/test_astbuilder.py::test_docstring_assignment": "AssertionError: assert None == 'Happy Happy Joy Joy'\n +  where None = Function '<test>.fun'.docstring\nE   AssertionError: assert None == 'Happy Happy Joy Joy'\n     +  where None = Function '<test>.fun'.docstring"
    },
    "target_map": {
      "pydoctor/test/test_astbuilder.py::test_docstring_assignment": [
        "pydoctor/test/test_astbuilder.py::test_docstring_assignment"
      ]
    },
    "unstable": []
  },
  "checkpoint": {
    "digest": "9a438768-d7e5-4236-9788-fdeae0d50b77",
    "id": "9a438768-d7e5-4236-9788-fdeae0d50b77",
    "parent": "9a438768-d7e5-4236-9788-fdeae0d50b77"
  },
  "checkpoint_id": "9a438768-d7e5-4236-9788-fdeae0d50b77",
  "cleanup_error": null,
  "cost": {
    "estimated_dollars": 0.8583867,
    "model_retries": {},
    "models": {
      "nvidia/nemotron-3-super-120b-a12b": {
        "completion_tokens": 28256,
        "estimated_dollars": 0.8583867,
        "prompt_tokens": 2776521,
        "reasoning_tokens": 0
      }
    },
    "planner_dollars": 0.0049041,
    "planner_tokens": 15919,
    "pricing_is_estimate": true,
    "sandbox_seconds": 25.846883874060826
  },
  "disclosure": {
    "executor_kind": "tokenfactory",
    "lock_sha256": "52993b583898e55cd1732feac0cad8dd8cf709e175b50ab1bb1ec3c177c6e088",
    "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": {
      "setup.cfg": "3da073320d3d7576080b872007f5567cb6502fb4a60079f7f8dcc2b34c81e119",
      "tox.ini": "564b32ae2b5efb4c194d5b2ffcbd521bdd83b9603b74470f58e9680aab841035"
    },
    "receipts_version": "0.0.1",
    "test_digests": {
      "pydoctor/test/__init__.py": "5d6c11559a8fd891d6aeb7d972bfa0b6488e414a5b19eef84bf7eaedc90b8ba0",
      "pydoctor/test/epydoc/__init__.py": "02263a72bed70fdd92f532af7ac8899334ac2a3665eb8b8d6af83c6de468a05a",
      "pydoctor/test/epydoc/epytext.doctest": "a74595fc40d3057ec678929e4f30a70de1df88e6fe5bd1af64e2a7d48fe57026",
      "pydoctor/test/epydoc/restructuredtext.doctest": "6e25b961c9240e7566478d0223557d576e92d54a80a298bb26c4d1bf472beb39",
      "pydoctor/test/epydoc/test_epytext.py": "b24e9c439872f1ec750d1872d987def1620f3705d11e88f1c8f7cd9bcafc6784",
      "pydoctor/test/epydoc/test_epytext2html.py": "0439bad57a7fb4ab6f2bb33962796f005063a61f9e1996ab32db919523d2839c",
      "pydoctor/test/test_astbuilder.py": "b40823e2e8a1fe8b38a62b4a138c87bc4b1dffb6c8fc5018b0656022f248e73e",
      "pydoctor/test/test_colorize.py": "069cb6fe2db8274c92d41cf3ec653ab274643dce655a3df87db861db38c2489d",
      "pydoctor/test/test_commandline.py": "63241208f8716b4cd11c403dc9ced39f7d0bcecef92f0bce42349a6184159eb8",
      "pydoctor/test/test_epydoc2stan.py": "680885dac34551cc5b63c282821524623235ae25e698e0ba78b2b71ac97061d4",
      "pydoctor/test/test_model.py": "dc799d16885d1bb71a6bc24b449249fd1ced059450e423464dc0d6bab2a9fcce",
      "pydoctor/test/test_packages.py": "e8b76c48475c41c8ec98488b2575df212b73a018e8b369d35019a00b92700729",
      "pydoctor/test/test_sphinx.py": "12c6eb28d8ac2fa71deb67ae5ee414e27526d07d84f57db68bf57d0b8dd34936",
      "pydoctor/test/test_templatewriter.py": "890c664ff16776dbd00467f89cd1583462fc9bfced73cf5f3ff137963c7de4eb",
      "pydoctor/test/test_twistedmodel.py": "f689770cf10cf40fb9c6dd5eb06ce8e42d51404548ddc04821362b93c9d90b72",
      "pydoctor/test/test_zopeinterface.py": "4abe084e81dbc54e60dcf778bf4d3478069916ecc61e8219c5e86e63f058d91f",
      "pydoctor/test/testpackages/allgames/__init__.py": "6a96c27d50ec06acb790949eb24f5238d6770e799b7fd51fec93d0b9f08e6cc6",
      "pydoctor/test/testpackages/allgames/mod1.py": "68cb8a7e8d6efaa3b626a84bc518351096a229bb1b9eaa5eaf6b9c888a36f7ad",
      "pydoctor/test/testpackages/allgames/mod2.py": "95a8c4177dd77cd79e2a567fc16910f20b3f16ddeea189f429b7061e039454e5",
      "pydoctor/test/testpackages/basic/__init__.py": "6a96c27d50ec06acb790949eb24f5238d6770e799b7fd51fec93d0b9f08e6cc6",
      "pydoctor/test/testpackages/basic/_private_mod.py": "16797664978a811647328d92f3a3ca9a3b3a4712db9abc1bd63416b30aca4fe0",
      "pydoctor/test/testpackages/basic/mod.py": "10d8123c937c46fb80c19f9964b24e73d82b997bde1b6cf452ce7f3c882cc21b",
      "pydoctor/test/testpackages/codeininit/__init__.py": "dedf0ef0ca81f15641fbe130ac297b5827d992ecfca8825589eac5eb97302289",
      "pydoctor/test/testpackages/importingfrompackage/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
      "pydoctor/test/testpackages/importingfrompackage/mod.py": "e5d9a901807eb97524c0aaa85729a72fabe369b2acc6e74f18f47d81e4975207",
      "pydoctor/test/testpackages/importingfrompackage/subpack/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
      "pydoctor/test/testpackages/importingfrompackage/subpack/submod.py": "32c4858e22cc2c967b42150fa550562a2c839c2cebcaab91cabdf6f4da020022",
      "pydoctor/test/testpackages/interfaceallgames/__init__.py": "32c4858e22cc2c967b42150fa550562a2c839c2cebcaab91cabdf6f4da020022",
      "pydoctor/test/testpackages/interfaceallgames/_implementation.py": "3a4454c840e93dac787821f0eced36432836c98b4907e1564212af70f9079382",
      "pydoctor/test/testpackages/interfaceallgames/implementation.py": "261715957d10d862412b6fe84333ce78d14130d44a8c41798386ee2ed556e331",
      "pydoctor/test/testpackages/interfaceallgames/interface.py": "4ec5421d76d8a4ddfafa5675ed9da34b9284040b1b25d1f0c7c850b68a96adbe",
      "pydoctor/test/testpackages/interfaceclass/__init__.py": "c8204cfd372ee45f79cb744ed0565bc8d486716115a546f48477c0719b8a6bb9",
      "pydoctor/test/testpackages/interfaceclass/mod.py": "c6cdf47bad7973fa497b82a194e5fcb7997c1806fe9dce851789109e2a5013f4",
      "pydoctor/test/testpackages/liveobject/__init__.py": "f7ff302fd49cbfcfc2b3c1c9c891c6bf1d6fc1712bb2ebe5b00a8d64b709411d",
      "pydoctor/test/testpackages/liveobject/mod.py": "fcc6a24bc09d2a1c6073f37e03668bb3201b0b761ea2a32898211610291760f1",
      "pydoctor/test/testpackages/localimporttest/__init__.py": "0418103ea116bf04d477a03c1319511d78c9f38a316a5b2d2c2c8df67c7121c6",
      "pydoctor/test/testpackages/localimporttest/mod1.py": "08abd2c484a569195acf5968783d7bd07ca3f464a228816b9f61452cb7c5636e",
      "pydoctor/test/testpackages/localimporttest/mod2.py": "ca9f06c5aa4508c2c53604cdbdc1893f2efa5704fb9176289ac6b0293d8079d3",
      "pydoctor/test/testpackages/modnamedafterbuiltin/__init__.py": "f7ff302fd49cbfcfc2b3c1c9c891c6bf1d6fc1712bb2ebe5b00a8d64b709411d",
      "pydoctor/test/testpackages/modnamedafterbuiltin/dict.py": "b9f52ef31870f3d38728da855a4ff764a2ee634cc01e8387692a30836e449133",
      "pydoctor/test/testpackages/modnamedafterbuiltin/mod.py": "ab2bcad7490e067ac1aba703c38c0cc22dbbec79e47e72b8621142a3e501af73",
      "pydoctor/test/testpackages/multipleinheritance/__init__.py": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
      "pydoctor/test/testpackages/multipleinheritance/mod.py": "5007a8c782753800fc35eeb5f39a273c5415470642e89edc2b9c2dc06832ab0c",
      "pydoctor/test/testpackages/nestedconfusion/__init__.py": "32c4858e22cc2c967b42150fa550562a2c839c2cebcaab91cabdf6f4da020022",
      "pydoctor/test/testpackages/nestedconfusion/mod.py": "a625017a2da39a002aa174a9a664bb292758f781d4a7d54ad207315e8e14f7b1"
    }
  },
  "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": "pydoctor/test/test_astbuilder.py::test_docstring_assignment failed",
        "id": "R1_fail_to_pass",
        "passed": false
      },
      {
        "evidence": "31 baseline-passing tests still pass",
        "id": "R2_pass_to_pass",
        "passed": true
      },
      {
        "evidence": "all 33 baseline tests collected; skips unchanged (1)",
        "id": "R3_no_shrink",
        "passed": true
      },
      {
        "evidence": "patch touches 1 file(s), all in scope",
        "id": "R4_patch_scope",
        "passed": true
      },
      {
        "evidence": "agent chain 9a438768-d7e5-4236-9788-fdeae0d50b77 -> 8edfbbfe-7c0c-4bc7-9e1f-487a1438cb27 unbroken over 66 receipt(s); witness chain 9a438768-d7e5-4236-9788-fdeae0d50b77 -> 950b7fdc-aea2-449f-91a9-9034eaa71ec0 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": "Detect and use docstrings set after-the-fact.\nTwisted has some code that does something like\n\n``` python\nif _PY3:\n   def func(args):\n       pass\nelse:\n    def func(args):\n        pass\n\nfunc.__doc__ = \"\"\"\nfunc does some stuff.\n```\n\nto avoid duplicating a docstring. Unfortunately, pydoctor doesn't pick this up, so it appears that `func` is undocumented.\n",
    "source": {
      "image": "docker.io/swerebenchv2/twisted-pydoctor:191-f26e7be",
      "platform": "linux/amd64",
      "python": "python",
      "setup": [
        "python -c 'import base64; from pathlib import Path; Path('\"'\"'/tmp/receipts-twisted__pydoctor-191-test.patch'\"'\"').write_bytes(base64.b64decode('\"'\"'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'\"'\"'))'",
        "git apply /tmp/receipts-twisted__pydoctor-191-test.patch"
      ],
      "workdir": "/pydoctor"
    },
    "spec_paths": [
      "pydoctor/test/test_astbuilder.py"
    ],
    "spec_tests": [
      "pydoctor/test/test_astbuilder.py::test_docstring_assignment"
    ],
    "suite_scope": "--no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning pydoctor/test/test_astbuilder.py"
  },
  "plan": {
    "approach": "Add logic to process `__doc__` assignments similar to how regular variables are handled. Specifically in the `_handleAssignmentInModule`, `_handleAssignmentInClass`, etc., methods that deal with attribute/variable processing, treat `__doc__` specially when assigning to existing Function/Method objects.",
    "files_to_edit": [
      "pydoctor/astbuilder.py"
    ],
    "finish_reason": "stop",
    "hypothesis": "Looking at the test failure and the problem described in the issue, pydoctor needs to detect when a docstring is assigned to a function after its definition via direct `__doc__` assignment. Currently, pydoctor processes definitions statically by examining the initial function definition AST node and extracting docstrings from the first expression if it's a string literal. When assignments happen later (like in conditional blocks setting `__doc__`), they're missed.\n\nI need to enhance the Function visitor in astbuilder.py to check for post-definition `__doc__` assignments and capture those docstrings similarly to how other attributes are processed.",
    "usage": {
      "completion": 214,
      "prompt": 15705,
      "reasoning": 0
    }
  },
  "selected_patch_path": null,
  "snapshot_receipt_id": "base-7",
  "verdict_history": [
    {
      "branch_id": "agent1",
      "claim_audit": "no_claim",
      "claim_evidence": "branch ended without a finish call",
      "error": null,
      "error_kind": null,
      "predicates": [
        {
          "evidence": "pydoctor/test/test_astbuilder.py::test_docstring_assignment failed",
          "id": "R1_fail_to_pass",
          "passed": false
        },
        {
          "evidence": "regressed: pydoctor/test/test_astbuilder.py::test_inherit_names (failed)",
          "id": "R2_pass_to_pass",
          "passed": false
        },
        {
          "evidence": "all 33 baseline tests collected; skips unchanged (1)",
          "id": "R3_no_shrink",
          "passed": true
        },
        {
          "evidence": "patch touches 2 file(s), all in scope",
          "id": "R4_patch_scope",
          "passed": true
        },
        {
          "evidence": "agent chain 9a438768-d7e5-4236-9788-fdeae0d50b77 -> 4991e02d-5dd5-4fc5-84eb-b56eef3fc465 unbroken over 42 receipt(s); witness chain 9a438768-d7e5-4236-9788-fdeae0d50b77 -> abc38f56-2d82-418d-81d0-f1a0cb9e1d8f unbroken over 2 receipt(s); applied digest matches",
          "id": "R5_provenance",
          "passed": true
        },
        {
          "evidence": "branch ended without a finish call",
          "id": "R6_claim_audit",
          "passed": false
        }
      ],
      "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": "pydoctor/test/test_astbuilder.py::test_docstring_assignment failed",
          "id": "R1_fail_to_pass",
          "passed": false
        },
        {
          "evidence": "31 baseline-passing tests still pass",
          "id": "R2_pass_to_pass",
          "passed": true
        },
        {
          "evidence": "all 33 baseline tests collected; skips unchanged (1)",
          "id": "R3_no_shrink",
          "passed": true
        },
        {
          "evidence": "patch touches 1 file(s), all in scope",
          "id": "R4_patch_scope",
          "passed": true
        },
        {
          "evidence": "agent chain 9a438768-d7e5-4236-9788-fdeae0d50b77 -> 8edfbbfe-7c0c-4bc7-9e1f-487a1438cb27 unbroken over 66 receipt(s); witness chain 9a438768-d7e5-4236-9788-fdeae0d50b77 -> 950b7fdc-aea2-449f-91a9-9034eaa71ec0 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": 571.2038891250268
}
