fastapi_14246

{"status": "ok", "stdout": "__init__.py\ntest_tutorial001.py\ntest_tutorial002.py\n", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 18 items\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py E. [ 11%]\nEE.EE.E                                                                  [ 50%]\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py E. [ 61%]\nEE.EE.E                                                                  [100%]\n\n==================================== ERRORS ====================================\n_______________ ERROR at setup of test_create_item[tutorial001] ________________\n\nrequest = <SubRequest 'client' for <Function test_create_item[tutorial001]>>\n\n    @pytest.fixture(\n        name=\"client\",\n        params=[\n            \"tutorial001\",\n            pytest.param(\"tutorial001_py310\", marks=needs_py310),\n            pytest.param(\"tutorial001_py39\", marks=needs_py39),\n        ],\n    )\n    def get_client(request: pytest.FixtureRequest) -> TestClient:\n>       mod = importlib.import_module(f\"docs_src.separate_openapi_schemas.{request.param}\")\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py:18: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/Users/jp/.local/share/uv/python/cpython-3.13.15-macos-aarch64-none/lib/python3.13/importlib/__init__.py:88: in import_module\n    return _bootstrap._gcd

{"status": "ok", "stdout": "./.pytest_cache/v/cache/nodeids:2:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_create_item[tutorial001]\",\n./.pytest_cache/v/cache/nodeids:3:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_create_item[tutorial001_py310]\",\n./.pytest_cache/v/cache/nodeids:4:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_create_item[tutorial001_py39]\",\n./.pytest_cache/v/cache/nodeids:5:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_openapi_schema[tutorial001]\",\n./.pytest_cache/v/cache/nodeids:6:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_openapi_schema[tutorial001_py310]\",\n./.pytest_cache/v/cache/nodeids:7:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_openapi_schema[tutorial001_py39]\",\n./.pytest_cache/v/cache/nodeids:8:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_read_items[tutorial001]\",\n./.pytest_cache/v/cache/nodeids:9:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_read_items[tutorial001_py310]\",\n./.pytest_cache/v/cache/nodeids:10:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py::test_read_items[tutorial001_py39]\",\n./.pytest_cache/v/cache/nodeids:11:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py::test_create_item[tutorial002]\",\n./.pytest_cache/v/cache/nodeids:12:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py::test_create_item[tutorial002_py310]\",\n./.pytest_cache/v/cache/nodeids:13:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py::test_create_item[tutorial002_py39]\",\n./.pytest_cache/v/cache/nodeids:14:  \"tests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py::test_openapi_schema[tutorial002]\",\n./.pytest_cache/v/cache/nodeids:15:  \"tests/test_tutor

{"status": "ok", "stdout": "docs_src/separate_openapi_schemas\n", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 18 items\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py E. [ 11%]\nEE.EE.E                                                                  [ 50%]\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py E. [ 61%]\nEE.EE.E                                                                  [100%]\n\n==================================== ERRORS ====================================\n_______________ ERROR at setup of test_create_item[tutorial001] ________________\n\nrequest = <SubRequest 'client' for <Function test_create_item[tutorial001]>>\n\n    @pytest.fixture(\n        name=\"client\",\n        params=[\n            \"tutorial001\",\n            pytest.param(\"tutorial001_py310\", marks=needs_py310),\n            pytest.param(\"tutorial001_py39\", marks=needs_py39),\n        ],\n    )\n    def get_client(request: pytest.FixtureRequest) -> TestClient:\n>       mod = importlib.import_module(f\"docs_src.separate_openapi_schemas.{request.param}\")\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py:18: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/Users/jp/.local/share/uv/python/cpython-3.13.15-macos-aarch64-none/lib/python3.13/importlib/__init__.py:88: in import_module\n    return _bootstrap._gcd

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 18 items\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py E. [ 11%]\nEE.EE.E                                                                  [ 50%]\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py E. [ 61%]\nEE.EE.E                                                                  [100%]\n\n==================================== ERRORS ====================================\n_______________ ERROR at setup of test_create_item[tutorial001] ________________\n\nrequest = <SubRequest 'client' for <Function test_create_item[tutorial001]>>\n\n    @pytest.fixture(\n        name=\"client\",\n        params=[\n            \"tutorial001\",\n            pytest.param(\"tutorial001_py310\", marks=needs_py310),\n            pytest.param(\"tutorial001_py39\", marks=needs_py39),\n        ],\n    )\n    def get_client(request: pytest.FixtureRequest) -> TestClient:\n>       mod = importlib.import_module(f\"docs_src.separate_openapi_schemas.{request.param}\")\n              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py:18: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n/Users/jp/.local/share/uv/python/cpython-3.13.15-macos-aarch64-none/lib/python3.13/importlib/__init__.py:88: in import_module\n    return _bootstrap._gcd

{"status": "ok", "stdout": "tutorial001_py310.py\ntutorial001_py39.py\ntutorial001.py\ntutorial002_py310.py\ntutorial002_py39.py\ntutorial002.py\n", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "", "stderr": "ls: docs_src/__init__.py: No such file or directory\n", "exit_code": 1}}

{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 18 items\n\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py .. [ 11%]\n.......                                                                  [ 50%]\ntests/test_tutorial/test_separate_openapi_schemas/test_tutorial002.py .. [ 61%]\n.......                                                                  [100%]\n\n=============================== warnings summary ===============================\n../../../../../../../Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/overlays/starlette-0.49.3-py3-none-any/starlette/testclient.py:51\n  /Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/overlays/starlette-0.49.3-py3-none-any/starlette/testclient.py:51: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n    _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 18 passed, 1 warning in 0.40s =========================\n", "exit_code": 0}

{"status": "ok", "stdout": "tests/test_tutorial/test_separate_openapi_schemas/test_tutorial001.py:18:    mod = importlib.import_module(f\"docs_src.separate_openapi_schemas.{request.param}\")\n", "exit_code": 0}

{"status": "ok", "stdout": "from typing import List, Union\n\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\n\n\nclass Item(BaseModel):\n    name: str\n    description: Union[str, None] = None\n\n\napp = FastAPI()\n\n\n@app.post(\"/items/\")\ndef create_item(item: Item):\n    return item\n\n\n@app.get(\"/items/\")\ndef read_items() -> List[Item]:\n    return [\n        Item(\n            name=\"Portal Gun\",\n            description=\"Device to travel through the multi-rick-verse\",\n        ),\n        Item(name=\"Plumbus\"),\n    ]\n", "exit_code": 0}

{"status": "ok", "stdout": "from typing import List, Union\n\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel\n\n\nclass Item(BaseModel):\n    name: str\n    description: Union[str, None] = None\n\n\napp = FastAPI(separate_input_output_schemas=False)\n\n\n@app.post(\"/items/\")\ndef create_item(item: Item):\n    return item\n\n\n@app.get(\"/items/\")\ndef read_items() -> List[Item]:\n    return [\n        Item(\n            name=\"Portal Gun\",\n            description=\"Device to travel through the multi-rick-verse\",\n        ),\n        Item(name=\"Plumbus\"),\n    ]\n", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 2", "details": {"stdout": "", "stderr": "grep: fastapi/fastapi.py: No such file or directory\n", "exit_code": 2}}

{"status": "ok", "stdout": "fastapi/applications.py\nfastapi/openapi/utils.py\nfastapi/_compat/v1.py\nfastapi/_compat/may_v1.py\nfastapi/_compat/main.py\nfastapi/_compat/v2.py\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/applications.py", "content": "from enum import Enum\nfrom typing import (\n    Any,\n    Awaitable,\n    Callable,\n    Coroutine,\n    Dict,\n    List,\n    Optional,\n    Sequence,\n    Type,\n    TypeVar,\n    Union,\n)\n\nfrom annotated_doc import Doc\nfrom fastapi import routing\nfrom fastapi.datastructures import Default, DefaultPlaceholder\nfrom fastapi.exception_handlers import (\n    http_exception_handler,\n    request_validation_exception_handler,\n    websocket_request_validation_exception_handler,\n)\nfrom fastapi.exceptions import RequestValidationError, WebSocketRequestValidationError\nfrom fastapi.logger import logger\nfrom fastapi.middleware.asyncexitstack import AsyncExitStackMiddleware\nfrom fastapi.openapi.docs import (\n    get_redoc_html,\n    get_swagger_ui_html,\n    get_swagger_ui_oauth2_redirect_html,\n)\nfrom fastapi.openapi.utils import get_openapi\nfrom fastapi.params import Depends\nfrom fastapi.types import DecoratedCallable, IncEx\nfrom fastapi.utils import generate_unique_id\nfrom starlette.applications import Starlette\nfrom starlette.datastructures import State\nfrom starlette.exceptions import HTTPException\nfrom starlette.middleware import Middleware\nfrom starlette.middleware.base import BaseHTTPMiddleware\nfrom starlette.middleware.errors import ServerErrorMiddleware\nfrom starlette.middleware.exceptions import ExceptionMiddleware\nfrom starlette.requests import Request\nfrom starlette.responses import HTMLResponse, JSONResponse, Response\nfrom starlette.routing import BaseRoute\nfrom starlette.types import ASGIApp, ExceptionHandler, Lifespan, Receive, Scope, Send\nfrom typing_extensions import Annotated, deprecated\n\nAppType = TypeVar(\"AppType\", bound=\"FastAPI\")\n\n\nclass FastAPI(Starlette):\n    \"\"\"\n    `FastAPI` app class, the main entrypoint to use FastAPI.\n\n    Read more in the\n    [FastAPI docs for First Steps](https://fastapi.tiangolo.com/tutorial/first-steps/).\n\n    #

{"status": "ok", "stdout": "786:        separate_input_output_schemas: Annotated[\n870:        self.separate_input_output_schemas = separate_input_output_schemas\n1073:                separate_input_output_schemas=self.separate_input_output_schemas,\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/applications.py", "content": "        ] = None,\n        generate_unique_id_function: Annotated[\n            Callable[[routing.APIRoute], str],\n            Doc(\n                \"\"\"\n                Customize the function used to generate unique IDs for the *path\n                operations* shown in the generated OpenAPI.\n\n                This is particularly useful when automatically generating clients or\n                SDKs for your API.\n\n                Read more about it in the\n                [FastAPI docs about how to Generate Clients](https://fastapi.tiangolo.com/advanced/generate-clients/#custom-generate-unique-id-function).\n                \"\"\"\n            ),\n        ] = Default(generate_unique_id),\n        separate_input_output_schemas: Annotated[\n            bool,\n            Doc(\n                \"\"\"\n                Whether to generate separate OpenAPI schemas for request body and\n                response body when the results would be more precise.\n\n                This is particularly useful when automatically generating clients.\n\n                For example, if you have a model like:\n\n                ```python\n                from pydantic import BaseModel\n\n                class Item(BaseModel):\n", "start_line": 770, "end_line": 800, "total_lines": 4668, "is_truncated": false}

{"status": "ok", "filepath": "fastapi/openapi/utils.py", "content": "", "start_line": 1000, "end_line": 999, "total_lines": 558, "is_truncated": false}

{"status": "ok", "stdout": "102:    separate_input_output_schemas: bool = True,\n133:                separate_input_output_schemas=separate_input_output_schemas,\n175:    separate_input_output_schemas: bool = True,\n184:        separate_input_output_schemas=separate_input_output_schemas,\n258:    separate_input_output_schemas: bool = True,\n288:                separate_input_output_schemas=separate_input_output_schemas,\n309:                    separate_input_output_schemas=separate_input_output_schemas,\n326:                            separate_input_output_schemas=separate_input_output_schemas,\n356:                            separate_input_output_schemas=separate_input_output_schemas,\n389:                            separate_input_output_schemas=separate_input_output_schemas,\n481:    separate_input_output_schemas: bool = True,\n507:        separate_input_output_schemas=separate_input_output_schemas,\n516:                separate_input_output_schemas=separate_input_output_schemas,\n535:                separate_input_output_schemas=separate_input_output_schemas,\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/openapi/utils.py", "content": "        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n    separate_input_output_schemas: bool = True,\n) -> List[Dict[str, Any]]:\n    parameters = []\n    flat_dependant = get_flat_dependant(dependant, skip_repeats=True)\n    path_params = _get_flat_fields_from_params(flat_dependant.path_params)\n    query_params = _get_flat_fields_from_params(flat_dependant.query_params)\n    header_params = _get_flat_fields_from_params(flat_dependant.header_params)\n    cookie_params = _get_flat_fields_from_params(flat_dependant.cookie_params)\n    parameter_groups = [\n        (ParamTypes.path, path_params),\n        (ParamTypes.query, query_params),\n        (ParamTypes.header, header_params),\n        (ParamTypes.cookie, cookie_params),\n    ]\n    default_convert_underscores = True\n    if len(flat_dependant.header_params) == 1:\n        first_field = flat_dependant.header_params[0]\n        if lenient_issubclass(first_field.type_, BaseModel):\n            default_convert_underscores = getattr(\n                first_field.field_info, \"convert_underscores\", True\n            )\n    for param_type, param_group in parameter_groups:\n        for param in param_group:\n            field_info = param.field_info\n            # field_info = cast(Param, field_info)\n            if not getattr(field_info, \"include_in_schema\", True):\n                continue\n            param_schema = get_schema_from_model_field(\n                field=param,\n                model_name_map=model_name_map,\n                field_mapping=field_mapping,\n                separate_input_output_schemas=separate_input_output_schemas,\n            )\n            name = param.alias\n            convert_underscores = getattr(\n                param.field_info,\n                \"convert_underscores\",\n                default_convert_underscores,\n            )\n            if (\n                

{"status": "ok", "stdout": "13:    get_schema_from_model_field,\n129:            param_schema = get_schema_from_model_field(\n180:    body_schema = get_schema_from_model_field(\n352:                        response_schema = get_schema_from_model_field(\n385:                        additional_field_schema = get_schema_from_model_field(\n", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "ok", "stdout": "fastapi/_compat/v1.py:236:def get_schema_from_model_field(\nfastapi/_compat/main.py:314:def get_schema_from_model_field(\nfastapi/_compat/v2.py:174:def get_schema_from_model_field(\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "        # ModelField to its JSON Schema.\n        return id(self)\n\n\ndef get_annotation_from_field_info(\n    annotation: Any, field_info: FieldInfo, field_name: str\n) -> Any:\n    return annotation\n\n\ndef _model_rebuild(model: Type[BaseModel]) -> None:\n    model.model_rebuild()\n\n\ndef _model_dump(\n    model: BaseModel, mode: Literal[\"json\", \"python\"] = \"json\", **kwargs: Any\n) -> Any:\n    return model.model_dump(mode=mode, **kwargs)\n\n\ndef _get_model_config(model: BaseModel) -> Any:\n    return model.model_config\n\n\ndef get_schema_from_model_field(\n    *,\n    field: ModelField,\n    model_name_map: ModelNameMap,\n    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    # This expects that GenerateJsonSchema was already used to generate the definitions\n    json_schema = field_mapping[(field, override_mode or field.mode)]\n    if \"$ref\" not in json_schema:\n        # TODO remove when deprecating Pydantic v1\n        # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207\n        json_schema[\"title\"] = field.field_info.title or field.alias.title().replace(\n            \"_\", \" \"\n        )\n    return json_schema\n\n\ndef get_definitions(\n    *,\n    fields: Sequence[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if 

{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "        model_name_map=model_name_map,\n        definitions=definitions,  # type: ignore[arg-type]\n        field_mapping=field_mapping,\n    )\n    return new_mapping, new_definitions\n\n\ndef _replace_refs(\n    *,\n    schema: Dict[str, Any],\n    old_name_to_new_name_map: Dict[str, str],\n) -> Dict[str, Any]:\n    new_schema = deepcopy(schema)\n    for key, value in new_schema.items():\n        if key == \"$ref\":\n            ref_name = schema[\"$ref\"].split(\"/\")[-1]\n            if ref_name in old_name_to_new_name_map:\n                new_name = old_name_to_new_name_map[ref_name]\n                new_schema[\"$ref\"] = REF_TEMPLATE.format(model=new_name)\n            else:\n                new_schema[\"$ref\"] = schema[\"$ref\"]\n            continue\n        if isinstance(value, dict):\n            new_schema[key] = _replace_refs(\n                schema=value,\n                old_name_to_new_name_map=old_name_to_new_name_map,\n            )\n        elif isinstance(value, list):\n            new_value = []\n            for item in value:\n                if isinstance(item, dict):\n                    new_item = _replace_refs(\n                        schema=item,\n                        old_name_to_new_name_map=old_name_to_new_name_map,\n                    )\n                    new_value.append(new_item)\n\n                else:\n                    new_value.append(item)\n            new_schema[key] = new_value\n    return new_schema\n\n\ndef _remap_definitions_and_field_mappings(\n    *,\n    model_name_map: ModelNameMap,\n    definitions: Dict[str, Any],\n    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Any],\n]:\n    old_name_to_new_name_map = {}\n    for field_key, schema in field_mapping.ite

{"status": "ok", "stdout": "fastapi/_compat/v1.py:236:def get_schema_from_model_field(\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v1.py", "content": "\n\ndef _get_model_config(model: BaseModel) -> Any:\n    return model.__config__  # type: ignore[attr-defined]\n\n\ndef get_schema_from_model_field(\n    *,\n    field: ModelField,\n    model_name_map: ModelNameMap,\n    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    return field_schema(  # type: ignore[no-any-return]\n        field, model_name_map=model_name_map, ref_prefix=REF_PREFIX\n    )[0]\n\n\n# def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:\n#     models = get_flat_models_from_fields(fields, known_models=set())\n#     return get_model_name_map(models)  # type: ignore[no-any-return]\n\n\ndef get_definitions(\n    *,\n    fields: List[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n", "start_line": 230, "end_line": 260, "total_lines": 312, "is_truncated": false}

{"status": "ok", "stdout": "fastapi/_compat/main.py:314:def get_schema_from_model_field(\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/main.py", "content": "        )\n        return v2_field_maps, v2_definitions\n\n\ndef get_schema_from_model_field(\n    *,\n    field: ModelField,\n    model_name_map: ModelNameMap,\n    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]],\n        may_v1.JsonSchemaValue,\n    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    if isinstance(field, may_v1.ModelField):\n        from fastapi._compat import v1\n\n        return v1.get_schema_from_model_field(\n            field=field,\n            model_name_map=model_name_map,\n            field_mapping=field_mapping,\n", "start_line": 310, "end_line": 330, "total_lines": 362, "is_truncated": false}

{"status": "ok", "filepath": "fastapi/_compat/main.py", "content": "            field_mapping=field_mapping,\n            separate_input_output_schemas=separate_input_output_schemas,\n        )\n    else:\n        assert PYDANTIC_V2\n        from . import v2\n\n        return v2.get_schema_from_model_field(\n            field=field,  # type: ignore[arg-type]\n            model_name_map=model_name_map,\n            field_mapping=field_mapping,  # type: ignore[arg-type]\n", "start_line": 330, "end_line": 340, "total_lines": 362, "is_truncated": false}

{"status": "ok", "filepath": "fastapi/_compat/main.py", "content": "            field_mapping=field_mapping,  # type: ignore[arg-type]\n            separate_input_output_schemas=separate_input_output_schemas,\n        )\n\n\ndef _is_model_field(value: Any) -> bool:\n    if isinstance(value, may_v1.ModelField):\n        return True\n    elif PYDANTIC_V2:\n        from . import v2\n\n", "start_line": 340, "end_line": 350, "total_lines": 362, "is_truncated": false}

{"status": "ok", "stdout": "fastapi/_compat/v2.py:197:def get_definitions(\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "def get_definitions(\n    *,\n    fields: Sequence[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    flat_models = get_flat_models_from_fields(fields, known_models=set())\n    flat_model_fields = [\n        ModelField(field_info=FieldInfo(annotation=model), name=model.__name__)\n        for model in flat_models\n    ]\n    input_types = {f.type_ for f in fields}\n    unique_flat_model_fields = {\n        f for f in flat_model_fields if f.type_ not in input_types\n    }\n\n    inputs = [\n        (field, override_mode or field.mode, field._type_adapter.core_schema)\n        for field in list(fields) + list(unique_flat_model_fields)\n    ]\n    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)\n    for item_def in cast(Dict[str, Dict[str, Any]], definitions).values():\n        if \"description\" in item_def:\n            item_description = cast(str, item_def[\"description\"]).split(\"\\f\")[0]\n            item_def[\"description\"] = item_description\n    new_mapping, new_definitions = _remap_definitions_and_field_mappings(\n        model_name_map=model_name_map,\n        definitions=definitions,  # type: ignore[arg-type]\n        field_mapping=field_mapping,\n    )\n    return new_mapping, new_definitions\n\n\ndef _replace_refs(\n    *,\n    schema: Dict[str, Any],\n    old_name_to_new_name_map: Dict[str, str],\n", "start_line": 197, "end_line": 240, "total_lines": 459, "is_truncated": false}

{"status": "ok", "stdout": "fastapi/_compat/v1.py:149:class GenerateJsonSchema:\nfastapi/_compat/v2.py:31:from pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema\nfastapi/_compat/v2.py:186:    # This expects that GenerateJsonSchema was already used to generate the definitions\nfastapi/_compat/v2.py:206:    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "import re\nimport warnings\nfrom copy import copy, deepcopy\nfrom dataclasses import dataclass\nfrom enum import Enum\nfrom typing import (\n    Any,\n    Dict,\n    List,\n    Sequence,\n    Set,\n    Tuple,\n    Type,\n    Union,\n    cast,\n)\n\nfrom fastapi._compat import may_v1, shared\nfrom fastapi.openapi.constants import REF_TEMPLATE\nfrom fastapi.types import IncEx, ModelNameMap\nfrom pydantic import BaseModel, TypeAdapter, create_model\nfrom pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError\nfrom pydantic import PydanticUndefinedAnnotation as PydanticUndefinedAnnotation\nfrom pydantic import ValidationError as ValidationError\nfrom pydantic._internal._schema_generation_shared import (  # type: ignore[attr-defined]\n    GetJsonSchemaHandler as GetJsonSchemaHandler,\n)\nfrom pydantic._internal._typing_extra import eval_type_lenient\nfrom pydantic._internal._utils import lenient_issubclass as lenient_issubclass\nfrom pydantic.fields import FieldInfo as FieldInfo\nfrom pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema\nfrom pydantic.json_schema import JsonSchemaValue as JsonSchemaValue\nfrom pydantic_core import CoreSchema as CoreSchema\nfrom pydantic_core import PydanticUndefined, PydanticUndefinedType\nfrom pydantic_core import Url as Url\nfrom typing_extensions import Annotated, Literal, get_args, get_origin\n\ntry:\n    from pydantic_core.core_schema import (\n        with_info_plain_validator_function as with_info_plain_validator_function,\n    )\nexcept ImportError:  # pragma: no cover\n    from pydantic_core.core_schema import (\n        general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401\n    )\n\nRequiredParam = PydanticUndefined\nUndefined = PydanticUndefined\nUndefinedType = PydanticUndefinedType\nevaluate_forwardref = eval_type_lenient\nValidator = Any\n\n\nclass BaseConfig:\n    pass\n\n\nclass ErrorWr

{"status": "ok", "stdout": "fastapi/_compat/v2.py:181:    separate_input_output_schemas: bool = True,\nfastapi/_compat/v2.py:184:        None if separate_input_output_schemas else \"validation\"\nfastapi/_compat/v2.py:201:    separate_input_output_schemas: bool = True,\nfastapi/_compat/v2.py:208:        None if separate_input_output_schemas else \"validation\"\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v2.py", "content": "    *,\n    field: ModelField,\n    model_name_map: ModelNameMap,\n    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    # This expects that GenerateJsonSchema was already used to generate the definitions\n    json_schema = field_mapping[(field, override_mode or field.mode)]\n    if \"$ref\" not in json_schema:\n        # TODO remove when deprecating Pydantic v1\n        # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207\n        json_schema[\"title\"] = field.field_info.title or field.alias.title().replace(\n            \"_\", \" \"\n        )\n    return json_schema\n\n\ndef get_definitions(\n    *,\n    fields: Sequence[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)\n    override_mode: Union[Literal[\"validation\"], None] = (\n        None if separate_input_output_schemas else \"validation\"\n    )\n    flat_models = get_flat_models_from_fields(fields, known_models=set())\n    flat_model_fields = [\n        ModelField(field_info=FieldInfo(annotation=model), name=model.__name__)\n        for model in flat_models\n    ]\n    input_types = {f.type_ for f in fields}\n", "start_line": 175, "end_line": 215, "total_lines": 459, "is_truncated": false}

{"status": "ok", "stdout": "fastapi/_compat/v1.py:243:    separate_input_output_schemas: bool = True,\nfastapi/_compat/v1.py:259:    separate_input_output_schemas: bool = True,\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v1.py", "content": "    field_mapping: Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n    ],\n    separate_input_output_schemas: bool = True,\n) -> Dict[str, Any]:\n    return field_schema(  # type: ignore[no-any-return]\n        field, model_name_map=model_name_map, ref_prefix=REF_PREFIX\n    )[0]\n\n\n# def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:\n#     models = get_flat_models_from_fields(fields, known_models=set())\n#     return get_model_name_map(models)  # type: ignore[no-any-return]\n\n\ndef get_definitions(\n    *,\n    fields: List[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue],\n    Dict[str, Dict[str, Any]],\n]:\n    models = get_flat_models_from_fields(fields, known_models=set())\n    return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map)\n\n\ndef is_scalar_field(field: ModelField) -> bool:\n    return is_pv1_scalar_field(field)\n\n", "start_line": 240, "end_line": 270, "total_lines": 312, "is_truncated": false}

{"status": "ok", "stdout": "fastapi/_compat/may_v1.py:65:        separate_input_output_schemas: bool = True,\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/may_v1.py", "content": "    class Undefined:\n        pass\n\n    class UndefinedType:\n        pass\n\n    class Url:\n        pass\n\n    from .v2 import ValidationError, create_model\n\n    def get_definitions(\n        *,\n        fields: List[ModelField],\n        model_name_map: ModelNameMap,\n        separate_input_output_schemas: bool = True,\n    ) -> Tuple[\n        Dict[\n            Tuple[ModelField, Literal[\"validation\", \"serialization\"]], JsonSchemaValue\n        ],\n        Dict[str, Dict[str, Any]],\n    ]:\n        return {}, {}  # pragma: no cover\n\n\nelse:\n    from .v1 import AnyUrl as AnyUrl\n    from .v1 import BaseConfig as BaseConfig\n    from .v1 import BaseModel as BaseModel\n    from .v1 import Color as Color\n    from .v1 import CoreSchema as CoreSchema\n", "start_line": 50, "end_line": 80, "total_lines": 123, "is_truncated": false}

{"status": "ok", "stdout": "fastapi/_compat/main.py:271:    separate_input_output_schemas: bool = True,\nfastapi/_compat/main.py:284:            separate_input_output_schemas=separate_input_output_schemas,\nfastapi/_compat/main.py:295:                separate_input_output_schemas=separate_input_output_schemas,\nfastapi/_compat/main.py:309:            separate_input_output_schemas=separate_input_output_schemas,\nfastapi/_compat/main.py:322:    separate_input_output_schemas: bool = True,\nfastapi/_compat/main.py:331:            separate_input_output_schemas=separate_input_output_schemas,\nfastapi/_compat/main.py:341:            separate_input_output_schemas=separate_input_output_schemas,\n", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/main.py", "content": "        return model_name_map\n    from fastapi._compat import v1\n\n    model_name_map = v1.get_model_name_map(all_flat_models)\n    return model_name_map\n\n\ndef get_definitions(\n    *,\n    fields: List[ModelField],\n    model_name_map: ModelNameMap,\n    separate_input_output_schemas: bool = True,\n) -> Tuple[\n    Dict[\n        Tuple[ModelField, Literal[\"validation\", \"serialization\"]],\n        may_v1.JsonSchemaValue,\n    ],\n    Dict[str, Dict[str, Any]],\n]:\n    if sys.version_info < (3, 14):\n        v1_fields = [field for field in fields if isinstance(field, may_v1.ModelField)]\n        v1_field_maps, v1_definitions = may_v1.get_definitions(\n            fields=v1_fields,\n            model_name_map=model_name_map,\n            separate_input_output_schemas=separate_input_output_schemas,\n        )\n        if not PYDANTIC_V2:\n            return v1_field_maps, v1_definitions\n        else:\n            from . import v2\n\n            v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]\n            v2_field_maps, v2_definitions = v2.get_definitions(\n                fields=v2_fields,\n                model_name_map=model_name_map,\n                separate_input_output_schemas=separate_input_output_schemas,\n            )\n            all_definitions = {**v1_definitions, **v2_definitions}\n            all_field_maps = {**v1_field_maps, **v2_field_maps}\n            return all_field_maps, all_definitions\n\n    # Pydantic v1 is not supported since Python 3.14\n    else:\n        from . import v2\n\n        v2_fields = [field for field in fields if isinstance(field, v2.ModelField)]\n        v2_field_maps, v2_definitions = v2.get_definitions(\n            fields=v2_fields,\n            model_name_map=model_name_map,\n            separate_input_output_schemas=separate_input_output_schemas,\n        )\n", "start_line": 260, "end_line": 310, "total_lines": 362, "i

{"status": "ok", "stdout": "import pytest\nfrom fastapi.exceptions import ResponseValidationError\nfrom fastapi.testclient import TestClient\n\nfrom ..utils import needs_pydanticv1\n\n\n@pytest.fixture(name=\"client\")\ndef get_client():\n    from .app_pv1 import app\n\n    client = TestClient(app)\n    return client\n\n\n@needs_pydanticv1\ndef test_filter_sub_model(client: TestClient):\n    response = client.get(\"/model/modelA\")\n    assert response.status_code == 200, response.text\n    assert response.json() == {\n        \"name\": \"modelA\",\n        \"description\": \"model-a-desc\",\n        \"model_b\": {\"username\": \"test-user\"},\n    }\n\n\n@needs_pydanticv1\ndef test_validator_is_cloned(client: TestClient):\n    with pytest.raises(ResponseValidationError) as err:\n        client.get(\"/model/modelX\")\n    assert err.value.errors() == [\n        {\n            \"loc\": (\"response\", \"name\"),\n            \"msg\": \"name must end in A\",\n            \"type\": \"value_error\",\n        }\n    ]\n\n\n@needs_pydanticv1\ndef test_openapi_schema(client: TestClient):\n    response = client.get(\"/openapi.json\")\n    assert response.status_code == 200, response.text\n    assert response.json() == {\n        \"openapi\": \"3.1.0\",\n        \"info\": {\"title\": \"FastAPI\", \"version\": \"0.1.0\"},\n        \"paths\": {\n            \"/model/{name}\": {\n                \"get\": {\n                    \"summary\": \"Get Model A\",\n                    \"operationId\": \"get_model_a_model__name__get\",\n                    \"parameters\": [\n                        {\n                            \"required\": True,\n                            \"schema\": {\"title\": \"Name\", \"type\": \"string\"},\n                            \"name\": \"name\",\n                            \"in\": \"path\",\n                        }\n                    ],\n                    \"responses\": {\n                        \"200\": {\n                            \"descrip

{"status": "ok", "stdout": "from typing import Optional\n\nfrom fastapi import Depends, FastAPI\nfrom pydantic import BaseModel, validator\n\napp = FastAPI()\n\n\nclass ModelB(BaseModel):\n    username: str\n\n\nclass ModelC(ModelB):\n    password: str\n\n\nclass ModelA(BaseModel):\n    name: str\n    description: Optional[str] = None\n    model_b: ModelB\n\n    @validator(\"name\")\n    def lower_username(cls, name: str, values):\n        if not name.endswith(\"A\"):\n            raise ValueError(\"name must end in A\")\n        return name\n\n\nasync def get_model_c() -> ModelC:\n    return ModelC(username=\"test-user\", password=\"test-password\")\n\n\n@app.get(\"/model/{name}\", response_model=ModelA)\nasync def get_model_a(name: str, model_c=Depends(get_model_c)):\n    return {\"name\": name, \"description\": \"model-a-desc\", \"model_b\": model_c}\n", "exit_code": 0}

{"status": "ok", "stdout": "import pytest\nfrom fastapi.exceptions import ResponseValidationError\nfrom fastapi.testclient import TestClient\n\nfrom ..utils import needs_pydanticv1\n\n\n@pytest.fixture(name=\"client\")\ndef get_client():\n    from .app_pv1 import app\n\n    client = TestClient(app)\n    return client\n\n\n@needs_pydanticv1\ndef test_filter_sub_model(client: TestClient):\n    response = client.get(\"/model/modelA\")\n    assert response.status_code == 200, response.text\n    assert response.json() == {\n        \"name\": \"modelA\",\n        \"description\": \"model-a-desc\",\n        \"model_b\": {\"username\": \"test-user\"},\n    }\n\n\n@needs_pydanticv1\ndef test_validator_is_cloned(client: TestClient):\n    with pytest.raises(ResponseValidationError) as err:\n        client.get(\"/model/modelX\")\n    assert err.value.errors() == [\n        {\n            \"loc\": (\"response\", \"name\"),\n            \"msg\": \"name must end in A\",\n            \"type\": \"value_error\",\n        }\n    ]\n\n\n@needs_pydanticv1\ndef test_openapi_schema(client: TestClient):\n    response = client.get(\"/openapi.json\")\n    assert response.status_code == 200, response.text\n    assert response.json() == {\n        \"openapi\": \"3.1.0\",\n        \"info\": {\"title\": \"FastAPI\", \"version\": \"0.1.0\"},\n        \"paths\": {\n            \"/model/{name}\": {\n                \"get\": {\n                    \"summary\": \"Get Model A\",\n                    \"operationId\": \"get_model_a_model__name__get\",\n                    \"parameters\": [\n                        {\n                            \"required\": True,\n                            \"schema\": {\"title\": \"Name\", \"type\": \"string\"},\n                            \"name\": \"name\",\n                            \"in\": \"path\",\n                        }\n                    ],\n                    \"responses\": {\n                        \"200\": {\n                            \"descrip

{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 3 items\n\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py s [ 33%]\nss                                                                       [100%]\n\n=============================== warnings summary ===============================\n../../../../../../../Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/overlays/starlette-0.49.3-py3-none-any/starlette/testclient.py:51\n  /Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/overlays/starlette-0.49.3-py3-none-any/starlette/testclient.py:51: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n    _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 3 skipped, 1 warning in 0.36s =========================\n", "exit_code": 0}

{"status": "ok", "stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 3 items\n\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py sss\n\n=============================== warnings summary ===============================\n../../../../../../../Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/overlays/starlette-0.49.3-py3-none-any/starlette/testclient.py:51\n  /Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/overlays/starlette-0.49.3-py3-none-any/starlette/testclient.py:51: DeprecationWarning: The anyio.abc.BlockingPortal alias is deprecated, use anyio.from_thread.BlockingPortal instead.\n    _PortalFactoryType = Callable[[], AbstractContextManager[anyio.abc.BlockingPortal]]\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n======================== 3 skipped, 1 warning in 0.35s =========================\n", "exit_code": 0}

{"status": "ok", "stdout": "2.13.5\n", "exit_code": 0}

{"status": "ok", "stdout": "from typing import Optional\n\nfrom fastapi import Depends, FastAPI\nfrom pydantic import BaseModel, validator\n\napp = FastAPI()\n\n\nclass ModelB(BaseModel):\n    username: str\n\n\nclass ModelC(ModelB):\n    password: str\n\n\nclass ModelA(BaseModel):\n    name: str\n    description: Optional[str] = None\n    model_b: ModelB\n\n    @validator(\"name\")\n    def lower_username(cls, name: str, values):\n        if not name.endswith(\"A\"):\n            raise ValueError(\"name must end in A\")\n        return name\n\n\nasync def get_model_c() -> ModelC:\n    return ModelC(username=\"test-user\", password=\"test-password\")\n\n\n@app.get(\"/model/{name}\", response_model=ModelA)\nasync def get_model_a(name: str, model_c=Depends(get_model_c)):\n    return {\"name\": name, \"description\": \"model-a-desc\", \"model_b\": model_c}\n", "exit_code": 0, "budget_warning": "Only 10 tool call(s) remaining (50/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "filepath": "tests/test_filter_pydantic_sub_model/app_pv2.py", "size": 882, "budget_warning": "Only 9 tool call(s) remaining (51/60 used). Finalize your edits and call submit_patch soon."}

{"status": "ok", "filepath": "tests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv2.py", "size": 1370, "budget_warning": "Only 8 tool call(s) remaining (52/60 used). Finalize your edits and call submit_patch soon."}

{"status": "error", "error_type": "CommandError", "error_message": "Command failed with exit code 1", "details": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.13.15, pytest-9.1.1, pluggy-1.6.0\ncodspeed: 5.0.3 (disabled, mode: walltime, callgraph: not supported, timer_resolution: 41.7ns)\nrootdir: /private/workspace\nconfigfile: pytest.ini (WARNING: ignoring pytest config in pyproject.toml!)\nplugins: cov-7.1.0, xdist-3.8.0, timeout-2.4.0, codspeed-5.0.3, sugar-1.1.1, anyio-4.15.1, inline-snapshot-0.35.4\ncollected 3 items\n\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv2.py . [ 33%]\nF.                                                                       [100%]\n\n=================================== FAILURES ===================================\n___________________________ test_validator_is_cloned ___________________________\n\nclient = <starlette.testclient.TestClient object at 0x105fa60d0>\n\n    def test_validator_is_cloned(client: TestClient):\n        with pytest.raises(ResponseValidationError) as err:\n            client.get(\"/model/modelX\")\n>       assert err.value.errors() == [\n            {\n                \"loc\": (\"response\", \"name\"),\n                \"msg\": \"Value error, name must end in A\",\n                \"type\": \"value_error\",\n            }\n        ]\nE       AssertionError: assert [{'type': 'va...modelX', ...}] == [{'loc': ('re...value_error'}]\nE         \nE         At index 0 diff: {'type': 'value_error', 'loc': ('response', 'name'), 'msg': 'Value error, name must end in A', 'input': 'modelX', 'ctx': {'error': ValueError('name must end in A')}} != {'loc': ('response', 'name'), 'msg': 'Value error, name must end in A', 'type': 'value_error'}\nE         Use -v to get more diff\n\ntests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv2.py:25: AssertionError\n=============================== warnings summary =========

{"status": "ok", "patch_size": 3156, "files_changed": 4}