fastapi_14482

{"status": "ok", "stdout": "./tests/test_inherited_custom_class.py:45:        model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_inherited_custom_class.py:89:            arbitrary_types_allowed = True\n./tests/test_compat.py:87:        model_config = ConfigDict(arbitrary_types_allowed=True)\n./tests/test_compat.py:92:            arbitrary_types_allowed=True,\n./tests/test_jsonable_encoder.py:248:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:252:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:264:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:268:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:279:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:283:                arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 1}}

{"status": "ok", "stdout": "", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "", "details": {"stdout": "", "stderr": "", "exit_code": 123}}

{"status": "ok", "stdout": "./tests/test_inherited_custom_class.py:45:        model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_inherited_custom_class.py:89:            arbitrary_types_allowed = True\n./tests/test_compat.py:87:        model_config = ConfigDict(arbitrary_types_allowed=True)\n./tests/test_compat.py:92:            arbitrary_types_allowed=True,\n./tests/test_jsonable_encoder.py:248:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:252:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:264:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:268:                arbitrary_types_allowed = True\n./tests/test_jsonable_encoder.py:279:            model_config = {\"arbitrary_types_allowed\": True}\n./tests/test_jsonable_encoder.py:283:                arbitrary_types_allowed = True\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/exception_handlers.py:1:from fastapi.encoders import jsonable_encoder\nfastapi/exception_handlers.py:25:        content={\"detail\": jsonable_encoder(exc.errors())},\nfastapi/exception_handlers.py:33:        code=WS_1008_POLICY_VIOLATION, reason=jsonable_encoder(exc.errors())\nfastapi/routing.py:47:from fastapi.encoders import jsonable_encoder\nfastapi/routing.py:295:        return jsonable_encoder(\nfastapi/routing.py:305:        return jsonable_encoder(response_content)\nfastapi/encoders.py:114:def jsonable_encoder(\nfastapi/encoders.py:247:        return jsonable_encoder(\nfastapi/encoders.py:258:        return jsonable_encoder(\nfastapi/encoders.py:294:                encoded_key = jsonable_encoder(\nfastapi/encoders.py:302:                encoded_value = jsonable_encoder(\nfastapi/encoders.py:316:                jsonable_encoder(\nfastapi/encoders.py:346:    return jsonable_encoder(\nfastapi/openapi/docs.py:5:from fastapi.encoders import jsonable_encoder\nfastapi/openapi/docs.py:137:        html += f\"{json.dumps(key)}: {json.dumps(jsonable_encoder(value))},\\n\"\nfastapi/openapi/docs.py:151:        ui.initOAuth({json.dumps(jsonable_encoder(init_oauth))})\nfastapi/openapi/utils.py:23:from fastapi.encoders import jsonable_encoder\nfastapi/openapi/utils.py:85:        security_definition = jsonable_encoder(\nfastapi/openapi/utils.py:168:                parameter[\"examples\"] = jsonable_encoder(openapi_examples)\nfastapi/openapi/utils.py:170:                parameter[\"example\"] = jsonable_encoder(example)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "def jsonable_encoder(\n    obj: Annotated[\n        Any,\n        Doc(\n            \"\"\"\n            The input object to convert to JSON.\n            \"\"\"\n        ),\n    ],\n    include: Annotated[\n        Optional[IncEx],\n        Doc(\n            \"\"\"\n            Pydantic's `include` parameter, passed to Pydantic models to set the\n            fields to include.\n            \"\"\"\n        ),\n    ] = None,\n    exclude: Annotated[\n        Optional[IncEx],\n        Doc(\n            \"\"\"\n            Pydantic's `exclude` parameter, passed to Pydantic models to set the\n            fields to exclude.\n            \"\"\"\n        ),\n    ] = None,\n    by_alias: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            Pydantic's `by_alias` parameter, passed to Pydantic models to define if\n            the output should use the alias names (when provided) or the Python\n            attribute names. In an API, if you set an alias, it's probably because you\n            want to use it in the result, so you probably want to leave this set to\n            `True`.\n            \"\"\"\n        ),\n    ] = True,\n    exclude_unset: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            Pydantic's `exclude_unset` parameter, passed to Pydantic models to define\n            if it should exclude from the output the fields that were not explicitly\n            set (and that only had their default values).\n            \"\"\"\n        ),\n    ] = False,\n    exclude_defaults: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            Pydantic's `exclude_defaults` parameter, passed to Pydantic models to define\n            if it should exclude from the output the fields that had the same default\n            value, even when they were explicitly set.\n            \"\"\"\n        ),\n    ] = False,\n    exclude_none: Annotated[\n        bool,\n        Doc(\n            \"\"\"\n            P

{"status": "ok", "stdout": "            by_alias=by_alias,\n            exclude_unset=exclude_unset,\n            exclude_none=exclude_none,\n            exclude_defaults=exclude_defaults,\n        )\n        if \"__root__\" in obj_dict:\n            obj_dict = obj_dict[\"__root__\"]\n        return jsonable_encoder(\n            obj_dict,\n            exclude_none=exclude_none,\n            exclude_defaults=exclude_defaults,\n            # TODO: remove when deprecating Pydantic v1\n            custom_encoder=encoders,\n            sqlalchemy_safe=sqlalchemy_safe,\n        )\n    if dataclasses.is_dataclass(obj):\n        assert not isinstance(obj, type)\n        obj_dict = dataclasses.asdict(obj)\n        return jsonable_encoder(\n            obj_dict,\n            include=include,\n            exclude=exclude,\n            by_alias=by_alias,\n            exclude_unset=exclude_unset,\n            exclude_defaults=exclude_defaults,\n            exclude_none=exclude_none,\n            custom_encoder=custom_encoder,\n            sqlalchemy_safe=sqlalchemy_safe,\n        )\n    if isinstance(obj, Enum):\n        return obj.value\n    if isinstance(obj, PurePath):\n        return str(obj)\n    if isinstance(obj, (str, int, float, type(None))):\n        return obj\n    if _is_undefined(obj):\n        return None\n    if isinstance(obj, dict):\n        encoded_dict = {}\n        allowed_keys = set(obj.keys())\n        if include is not None:\n            allowed_keys &= set(include)\n        if exclude is not None:\n            allowed_keys -= set(exclude)\n        for key, value in obj.items():\n            if (\n                (\n                    not sqlalchemy_safe\n                    or (not isinstance(key, str))\n                    or (not key.startswith(\"_sa\"))\n                )\n                and (value is not None or not exclude_none)\n                and key in allowed_keys\n            ):\n                encoded_key = jsonable_encoder(\n             

{"status": "error", "error_type": "CommandError", "error_message": "  File \"<string>\", line 1\n    from pydantic import BaseModel, ConfigDict; class MyModel(BaseModel): model_config = ConfigDict(arbitrary_types_allowed=True); x = 123; m = MyModel(a=x); print(m.model_dump())\n                                                ^^^^^\nSyntaxError: invalid syntax\n", "details": {"stdout": "", "stderr": "  File \"<string>\", line 1\n    from pydantic import BaseModel, ConfigDict; class MyModel(BaseModel): model_config = ConfigDict(arbitrary_types_allowed=True); x = 123; m = MyModel(a=x); print(m.model_dump())\n                                                ^^^^^\nSyntaxError: invalid syntax\n", "exit_code": 1}}

{"status": "ok", "stdout": "{'a': 123}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "{'a': Custom()}\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n  File \"<string>\", line 9, in <module>\n    print(jsonable_encoder(m))\n          ~~~~~~~~~~~~~~~~^^^\n  File \"/workspace/fastapi/encoders.py\", line 235, in jsonable_encoder\n    obj_dict = _model_dump(\n        obj,\n    ...<6 lines>...\n        exclude_defaults=exclude_defaults,\n    )\n  File \"/workspace/fastapi/_compat/main.py\", line 95, in _model_dump\n    return v2._model_dump(model, mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/fastapi/_compat/v2.py\", line 167, in _model_dump\n    return model.model_dump(mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^\n  File \"/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/main.py\", line 475, in model_dump\n    return self.__pydantic_serializer__.to_python(\n           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n        self,\n        ^^^^^\n    ...<13 lines>...\n        polymorphic_serialization=polymorphic_serialization,\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\npydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class '__main__.Custom'>\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n  File \"<string>\", line 9, in <module>\n    print(jsonable_encoder(m))\n          ~~~~~~~~~~~~~~~~^^^\n  File \"/workspace/fastapi/encoders.py\", line 235, in jsonable_encoder\n    obj_dict = _model_dump(\n        obj,\n    ...<6 lines>...\n        exclude_defaults=exclude_defaults,\n    )\n  File \"/workspace/fastapi/_compat/main.py\", line 95, in _model_dump\n    return v2._model_dump(model, mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/fastapi/_compat/v2.py\", line 167, in _model_dump\n    return model.model_dump(mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^\n  File

{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n  File \"<string>\", line 8, in <module>\n    print(m.model_dump(mode='json'))\n          ~~~~~~~~~~~~^^^^^^^^^^^^^\n  File \"/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/main.py\", line 475, in model_dump\n    return self.__pydantic_serializer__.to_python(\n           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n        self,\n        ^^^^^\n    ...<13 lines>...\n        polymorphic_serialization=polymorphic_serialization,\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\npydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class '__main__.Custom'>\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n  File \"<string>\", line 8, in <module>\n    print(m.model_dump(mode='json'))\n          ~~~~~~~~~~~~^^^^^^^^^^^^^\n  File \"/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/main.py\", line 475, in model_dump\n    return self.__pydantic_serializer__.to_python(\n           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n        self,\n        ^^^^^\n    ...<13 lines>...\n        polymorphic_serialization=polymorphic_serialization,\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\npydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class '__main__.Custom'>\n", "exit_code": 1}}

{"status": "ok", "stdout": "{'a': Custom()}\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "        else:\n            for encoder_type, encoder_instance in custom_encoder.items():\n                if isinstance(obj, encoder_type):\n                    return encoder_instance(obj)\n    if include is not None and not isinstance(include, (set, dict)):\n        include = set(include)\n    if exclude is not None and not isinstance(exclude, (set, dict)):\n        exclude = set(exclude)\n    if isinstance(obj, (BaseModel, may_v1.BaseModel)):\n        # TODO: remove when deprecating Pydantic v1\n        encoders: Dict[Any, Any] = {}\n        if isinstance(obj, may_v1.BaseModel):\n            encoders = getattr(obj.__config__, \"json_encoders\", {})  # type: ignore[attr-defined]\n            if custom_encoder:\n                encoders = {**encoders, **custom_encoder}\n        obj_dict = _model_dump(\n            obj,\n            mode=\"json\",\n            include=include,\n            exclude=exclude,\n            by_alias=by_alias,\n            exclude_unset=exclude_unset,\n            exclude_none=exclude_none,\n            exclude_defaults=exclude_defaults,\n        )\n        if \"__root__\" in obj_dict:\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n  File \"<string>\", line 9, in <module>\n    print(jsonable_encoder(m, custom_encoder={Custom: lambda x: str(x)}))\n          ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/fastapi/encoders.py\", line 235, in jsonable_encoder\n    obj_dict = _model_dump(\n        obj,\n    ...<6 lines>...\n        exclude_defaults=exclude_defaults,\n    )\n  File \"/workspace/fastapi/_compat/main.py\", line 95, in _model_dump\n    return v2._model_dump(model, mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/fastapi/_compat/v2.py\", line 167, in _model_dump\n    return model.model_dump(mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^\n  File \"/kaggle/tmp/envs/fastapi/lib/python3.13/site-packages/pydantic/main.py\", line 475, in model_dump\n    return self.__pydantic_serializer__.to_python(\n           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^\n        self,\n        ^^^^^\n    ...<13 lines>...\n        polymorphic_serialization=polymorphic_serialization,\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\npydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class '__main__.Custom'>\n", "details": {"stdout": "", "stderr": "Traceback (most recent call last):\n  File \"<string>\", line 9, in <module>\n    print(jsonable_encoder(m, custom_encoder={Custom: lambda x: str(x)}))\n          ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/fastapi/encoders.py\", line 235, in jsonable_encoder\n    obj_dict = _model_dump(\n        obj,\n    ...<6 lines>...\n        exclude_defaults=exclude_defaults,\n    )\n  File \"/workspace/fastapi/_compat/main.py\", line 95, in _model_dump\n    return v2._model_dump(model, mode=mode, **kwargs)\n           ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  Fil