fastapi_14609

{"status": "ok", "stdout": "./fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\n./fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\n./fastapi/dependencies/utils.py:328:                \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\n./fastapi/dependencies/utils.py:334:            param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\n./fastapi/dependencies/utils.py:403:                    temp_pydantic_v1_params.Param,\n./fastapi/dependencies/utils.py:405:                    temp_pydantic_v1_params.Body,\n./fastapi/dependencies/utils.py:494:            if annotation_is_pydantic_v1(use_annotation):\n./fastapi/dependencies/utils.py:495:                field_info = temp_pydantic_v1_params.Body(  # type: ignore[assignment]\n./fastapi/dependencies/utils.py:511:                field_info, (params.Path, temp_pydantic_v1_params.Path)\n./fastapi/dependencies/utils.py:517:            isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\n./fastapi/dependencies/utils.py:526:        if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\n./fastapi/dependencies/utils.py:546:        elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\n./fastapi/dependencies/utils.py:765:            isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\n./fastapi/dependencies/utils.py:835:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\n./fastapi/dependencies/utils.py:847:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\n./fastapi/dependencies/utils.py:896:        isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\n./fastapi/dependencies/utils.py:914:            isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\n./fastapi/dependencies/utils.py:921:            and isinstance(field_i

{"status": "ok", "stdout": "fastapi/dependencies/utils.py:47:from fastapi._compat.shared import annotation_is_pydantic_v1\nfastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:328:                \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\nfastapi/dependencies/utils.py:334:            param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\nfastapi/dependencies/utils.py:403:                    temp_pydantic_v1_params.Param,\nfastapi/dependencies/utils.py:405:                    temp_pydantic_v1_params.Body,\nfastapi/dependencies/utils.py:494:            if annotation_is_pydantic_v1(use_annotation):\nfastapi/dependencies/utils.py:495:                field_info = temp_pydantic_v1_params.Body(  # type: ignore[assignment]\nfastapi/dependencies/utils.py:511:                field_info, (params.Path, temp_pydantic_v1_params.Path)\nfastapi/dependencies/utils.py:517:            isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\nfastapi/dependencies/utils.py:526:        if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\nfastapi/dependencies/utils.py:546:        elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\nfastapi/dependencies/utils.py:765:            isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:835:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:847:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:896:        isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:914:            isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:921:            and isinstance(field_info, (params.File, temp_pydantic_v1_

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "filepath": "fastapi/_compat/shared.py", "content": "import sys\nimport types\nimport typing\nfrom collections import deque\nfrom collections.abc import Mapping, Sequence\nfrom dataclasses import is_dataclass\nfrom typing import (\n    Annotated,\n    Any,\n    Union,\n)\n\nfrom fastapi._compat import may_v1\nfrom fastapi.types import UnionType\nfrom pydantic import BaseModel\nfrom pydantic.version import VERSION as PYDANTIC_VERSION\nfrom starlette.datastructures import UploadFile\nfrom typing_extensions import get_args, get_origin\n\n# Copy from Pydantic v2, compatible with v1\nif sys.version_info < (3, 10):\n    WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias)  # type: ignore[attr-defined]\nelse:\n    WithArgsTypes: tuple[Any, ...] = (\n        typing._GenericAlias,  # type: ignore[attr-defined]\n        types.GenericAlias,\n        types.UnionType,\n    )  # pyright: ignore[reportAttributeAccessIssue]\n\nPYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(\".\")[:2])\nPYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2\n\n\nsequence_annotation_to_type = {\n    Sequence: list,\n    list: list,\n    tuple: tuple,\n    set: set,\n    frozenset: frozenset,\n    deque: deque,\n}\n\nsequence_types = tuple(sequence_annotation_to_type.keys())\n\nUrl: type[Any]\n\n\n# Copy of Pydantic v2, compatible with v1\ndef lenient_issubclass(\n    cls: Any, class_or_tuple: Union[type[Any], tuple[type[Any], ...], None]\n) -> bool:\n    try:\n        return isinstance(cls, type) and issubclass(cls, class_or_tuple)  # type: ignore[arg-type]\n    except TypeError:  # pragma: no cover\n        if isinstance(cls, WithArgsTypes):\n            return False\n        raise  # pragma: no cover\n\n\ndef _annotation_is_sequence(annotation: Union[type[Any], None]) -> bool:\n    if lenient_issubclass(annotation, (str, bytes)):\n        return False\n    return lenient_issubclass(annotation, sequence_types)\n\n\ndef field_annotation

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "stdout": "    if origin is Union or origin is UnionType:\n        for arg in get_args(annotation):\n            if lenient_issubclass(arg, UploadFile):\n                return True\n    return False\n\n\ndef is_bytes_sequence_annotation(annotation: Any) -> bool:\n    origin = get_origin(annotation)\n    if origin is Union or origin is UnionType:\n        at_least_one = False\n        for arg in get_args(annotation):\n            if is_bytes_sequence_annotation(arg):\n                at_least_one = True\n                continue\n        return at_least_one\n    return field_annotation_is_sequence(annotation) and all(\n        is_bytes_or_nonable_bytes_annotation(sub_annotation)\n        for sub_annotation in get_args(annotation)\n    )\n\n\ndef is_uploadfile_sequence_annotation(annotation: Any) -> bool:\n    origin = get_origin(annotation)\n    if origin is Union or origin is UnionType:\n        at_least_one = False\n        for arg in get_args(annotation):\n            if is_uploadfile_sequence_annotation(arg):\n                at_least_one = True\n                continue\n        return at_least_one\n    return field_annotation_is_sequence(annotation) and all(\n        is_uploadfile_or_nonable_uploadfile_annotation(sub_annotation)\n        for sub_annotation in get_args(annotation)\n    )\n\n\ndef annotation_is_pydantic_v1(annotation: Any) -> bool:\n    if lenient_issubclass(annotation, may_v1.BaseModel):\n        return True\n    origin = get_origin(annotation)\n    if origin is Union or origin is UnionType:\n        for arg in get_args(annotation):\n            if lenient_issubclass(arg, may_v1.BaseModel):\n                return True\n    if field_annotation_is_sequence(annotation):\n        for sub_annotation in get_args(annotation):\n            if annotation_is_pydantic_v1(sub_annotation):\n                return True\n    return False\n", "stderr": "", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/__init__.py", "content": "from .main import BaseConfig as BaseConfig\nfrom .main import PydanticSchemaGenerationError as PydanticSchemaGenerationError\nfrom .main import RequiredParam as RequiredParam\nfrom .main import Undefined as Undefined\nfrom .main import UndefinedType as UndefinedType\nfrom .main import Url as Url\nfrom .main import Validator as Validator\nfrom .main import _get_model_config as _get_model_config\nfrom .main import _is_error_wrapper as _is_error_wrapper\nfrom .main import _is_model_class as _is_model_class\nfrom .main import _is_model_field as _is_model_field\nfrom .main import _is_undefined as _is_undefined\nfrom .main import _model_dump as _model_dump\nfrom .main import copy_field_info as copy_field_info\nfrom .main import create_body_model as create_body_model\nfrom .main import evaluate_forwardref as evaluate_forwardref\nfrom .main import get_annotation_from_field_info as get_annotation_from_field_info\nfrom .main import get_cached_model_fields as get_cached_model_fields\nfrom .main import get_compat_model_name_map as get_compat_model_name_map\nfrom .main import get_definitions as get_definitions\nfrom .main import get_missing_field_error as get_missing_field_error\nfrom .main import get_schema_from_model_field as get_schema_from_model_field\nfrom .main import is_bytes_field as is_bytes_field\nfrom .main import is_bytes_sequence_field as is_bytes_sequence_field\nfrom .main import is_scalar_field as is_scalar_field\nfrom .main import is_scalar_sequence_field as is_scalar_sequence_field\nfrom .main import is_sequence_field as is_sequence_field\nfrom .main import serialize_sequence_value as serialize_sequence_value\nfrom .main import (\n    with_info_plain_validator_function as with_info_plain_validator_function,\n)\nfrom .may_v1 import CoreSchema as CoreSchema\nfrom .may_v1 import GetJsonSchemaHandler as GetJsonSchemaHandler\nfrom .may_v1 import JsonSchemaValue as JsonSchemaValue\nfrom .may_v1 im

{"status": "ok", "filepath": "fastapi/_compat/may_v1.py", "content": "import sys\nfrom collections.abc import Sequence\nfrom typing import Any, Literal, Union\n\nfrom fastapi.types import ModelNameMap\n\nif sys.version_info >= (3, 14):\n\n    class AnyUrl:\n        pass\n\n    class BaseConfig:\n        pass\n\n    class BaseModel:\n        pass\n\n    class Color:\n        pass\n\n    class CoreSchema:\n        pass\n\n    class ErrorWrapper:\n        pass\n\n    class FieldInfo:\n        pass\n\n    class GetJsonSchemaHandler:\n        pass\n\n    class JsonSchemaValue:\n        pass\n\n    class ModelField:\n        pass\n\n    class NameEmail:\n        pass\n\n    class RequiredParam:\n        pass\n\n    class SecretBytes:\n        pass\n\n    class SecretStr:\n        pass\n\n    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    from .v1 import ErrorWrapper as ErrorWrapper\n    from .v1 import FieldInfo as FieldInfo\n    from .v1 import GetJsonSchemaHandler as GetJsonSchemaHandler\n    from .v1 import JsonSchemaValue as JsonSchemaValue\n    from .v1 import ModelField as ModelField\n    from .v1 import NameEmail as NameEmail\n    from .v1 import RequiredParam as RequiredParam\n    from .v1 import SecretBytes as SecretBytes\n    from .v1 import SecretS

{"status": "ok", "filepath": "fastapi/_compat/v1.py", "content": "from collections.abc import Sequence\nfrom copy import copy\nfrom dataclasses import dataclass, is_dataclass\nfrom enum import Enum\nfrom typing import (\n    Any,\n    Callable,\n    Union,\n)\n\nfrom fastapi._compat import shared\nfrom fastapi.openapi.constants import REF_PREFIX as REF_PREFIX\nfrom fastapi.types import ModelNameMap\nfrom pydantic.v1 import BaseConfig as BaseConfig\nfrom pydantic.v1 import BaseModel as BaseModel\nfrom pydantic.v1 import ValidationError as ValidationError\nfrom pydantic.v1 import create_model as create_model\nfrom pydantic.v1.class_validators import Validator as Validator\nfrom pydantic.v1.color import Color as Color\nfrom pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\nfrom pydantic.v1.fields import (\n    SHAPE_FROZENSET,\n    SHAPE_LIST,\n    SHAPE_SEQUENCE,\n    SHAPE_SET,\n    SHAPE_SINGLETON,\n    SHAPE_TUPLE,\n    SHAPE_TUPLE_ELLIPSIS,\n)\nfrom pydantic.v1.fields import FieldInfo as FieldInfo\nfrom pydantic.v1.fields import ModelField as ModelField\nfrom pydantic.v1.fields import Undefined as Undefined\nfrom pydantic.v1.fields import UndefinedType as UndefinedType\nfrom pydantic.v1.networks import AnyUrl as AnyUrl\nfrom pydantic.v1.networks import NameEmail as NameEmail\nfrom pydantic.v1.schema import TypeModelSet as TypeModelSet\nfrom pydantic.v1.schema import field_schema, model_process_schema\nfrom pydantic.v1.schema import (\n    get_annotation_from_field_info as get_annotation_from_field_info,\n)\nfrom pydantic.v1.schema import (\n    get_flat_models_from_field as get_flat_models_from_field,\n)\nfrom pydantic.v1.schema import (\n    get_flat_models_from_fields as get_flat_models_from_fields,\n)\nfrom pydantic.v1.schema import get_model_name_map as get_model_name_map\nfrom pydantic.v1.types import SecretBytes as SecretBytes\nfrom pydantic.v1.types import SecretStr as SecretStr\nfrom pydantic.v1.typing import evaluate_forwardref as evaluate_f

{"status": "ok", "stdout": "fastapi/dependencies/utils.py:75:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:334:            param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\nfastapi/dependencies/utils.py:403:                    temp_pydantic_v1_params.Param,\nfastapi/dependencies/utils.py:405:                    temp_pydantic_v1_params.Body,\nfastapi/dependencies/utils.py:495:                field_info = temp_pydantic_v1_params.Body(  # type: ignore[assignment]\nfastapi/dependencies/utils.py:511:                field_info, (params.Path, temp_pydantic_v1_params.Path)\nfastapi/dependencies/utils.py:517:            isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\nfastapi/dependencies/utils.py:526:        if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\nfastapi/dependencies/utils.py:546:        elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\nfastapi/dependencies/utils.py:765:            isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:835:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:847:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:896:        isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:914:            isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:921:            and isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:1033:        isinstance(f.field_info, temp_pydantic_v1_params.File)\nfastapi/dependencies/utils.py:1036:        BodyFieldInfo: type[temp_pydantic_v1_params.Body] = temp_pydantic_v1_params.File  # type: ignore[no-redef]\nfastapi/dependencies/utils.py:1040:        isinstan

{"status": "ok", "filepath": "fastapi/temp_pydantic_v1_params.py", "content": "import warnings\nfrom typing import Annotated, Any, Callable, Optional, Union\n\nfrom fastapi.exceptions import FastAPIDeprecationWarning\nfrom fastapi.openapi.models import Example\nfrom fastapi.params import ParamTypes\nfrom typing_extensions import deprecated\n\nfrom ._compat.may_v1 import FieldInfo, Undefined\n\n_Unset: Any = Undefined\n\n\nclass Param(FieldInfo):\n    in_: ParamTypes\n\n    def __init__(\n        self,\n        default: Any = Undefined,\n        *,\n        default_factory: Union[Callable[[], Any], None] = _Unset,\n        annotation: Optional[Any] = None,\n        alias: Optional[str] = None,\n        alias_priority: Union[int, None] = _Unset,\n        # TODO: update when deprecating Pydantic v1, import these types\n        # validation_alias: str | AliasPath | AliasChoices | None\n        validation_alias: Union[str, None] = None,\n        serialization_alias: Union[str, None] = None,\n        title: Optional[str] = None,\n        description: Optional[str] = None,\n        gt: Optional[float] = None,\n        ge: Optional[float] = None,\n        lt: Optional[float] = None,\n        le: Optional[float] = None,\n        min_length: Optional[int] = None,\n        max_length: Optional[int] = None,\n        pattern: Optional[str] = None,\n        regex: Annotated[\n            Optional[str],\n            deprecated(\n                \"Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead.\"\n            ),\n        ] = None,\n        discriminator: Union[str, None] = None,\n        strict: Union[bool, None] = _Unset,\n        multiple_of: Union[float, None] = _Unset,\n        allow_inf_nan: Union[bool, None] = _Unset,\n        max_digits: Union[int, None] = _Unset,\n        decimal_places: Union[int, None] = _Unset,\n        examples: Optional[list[Any]] = None,\n        example: Annotated[\n            Optional[Any],\n            deprecated(\n          

{"status": "ok", "stdout": "14:from pydantic.v1 import BaseConfig as BaseConfig\n15:from pydantic.v1 import BaseModel as BaseModel\n16:from pydantic.v1 import ValidationError as ValidationError\n17:from pydantic.v1 import create_model as create_model\n18:from pydantic.v1.class_validators import Validator as Validator\n19:from pydantic.v1.color import Color as Color\n20:from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\n21:from pydantic.v1.fields import (\n30:from pydantic.v1.fields import FieldInfo as FieldInfo\n31:from pydantic.v1.fields import ModelField as ModelField\n32:from pydantic.v1.fields import Undefined as Undefined\n33:from pydantic.v1.fields import UndefinedType as UndefinedType\n34:from pydantic.v1.networks import AnyUrl as AnyUrl\n35:from pydantic.v1.networks import NameEmail as NameEmail\n36:from pydantic.v1.schema import TypeModelSet as TypeModelSet\n37:from pydantic.v1.schema import field_schema, model_process_schema\n38:from pydantic.v1.schema import (\n41:from pydantic.v1.schema import (\n44:from pydantic.v1.schema import (\n47:from pydantic.v1.schema import get_model_name_map as get_model_name_map\n48:from pydantic.v1.types import SecretBytes as SecretBytes\n49:from pydantic.v1.types import SecretStr as SecretStr\n50:from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\n51:from pydantic.v1.utils import lenient_issubclass as lenient_issubclass\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "182:def annotation_is_pydantic_v1(annotation: Any) -> bool:\n192:            if annotation_is_pydantic_v1(sub_annotation):\n", "stderr": "", "exit_code": 0}

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

{"status": "ok", "stdout": "Not found\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "14\n15\n16\n17\n18\n19\n20\n21\n30\n31\n32\n33\n34\n35\n36\n37\n38\n41\n44\n47\n48\n49\n50\n51\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "1033\n1036\n1040\n1043\n1045\n1046\n1053\n328\n334\n403\n405\n47\n494\n495\n511\n517\n526\n546\n75\n765\n835\n847\n896\n914\n921\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "stdout": "\n\ndef is_uploadfile_sequence_annotation(annotation: Any) -> bool:\n    origin = get_origin(annotation)\n    if origin is Union or origin is UnionType:\n        at_least_one = False\n        for arg in get_args(annotation):\n            if is_uploadfile_sequence_annotation(arg):\n                at_least_one = True\n                continue\n        return at_least_one\n    return field_annotation_is_sequence(annotation) and all(\n        is_uploadfile_or_nonable_uploadfile_annotation(sub_annotation)\n        for sub_annotation in get_args(annotation)\n    )\n\n\ndef annotation_is_pydantic_v1(annotation: Any) -> bool:\n    if lenient_issubclass(annotation, may_v1.BaseModel):\n        return True\n    origin = get_origin(annotation)\n    if origin is Union or origin is UnionType:\n        for arg in get_args(annotation):\n            if lenient_issubclass(arg, may_v1.BaseModel):\n                return True\n    if field_annotation_is_sequence(annotation):\n        for sub_annotation in get_args(annotation):\n            if annotation_is_pydantic_v1(sub_annotation):\n                return True\n    return False\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "25:from fastapi import params, temp_pydantic_v1_params\n32:    annotation_is_pydantic_v1,\n256:            # pydantic v1\n336:        body_field.field_info, (params.Form, temp_pydantic_v1_params.Form)\n640:            if annotation_is_pydantic_v1(self.response_model):\n642:                    \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\n680:                if annotation_is_pydantic_v1(model):\n682:                        \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/dependencies/utils.py\nfastapi/routing.py\n", "stderr": "", "exit_code": 0}

{"status": "error", "error_type": "FileReadError", "error_message": "'>' not supported between instances of 'int' and 'str'"}

{"status": "ok", "stdout": "        self.unique_id = self.operation_id or current_generate_unique_id(self)\n        # normalize enums e.g. http.HTTPStatus\n        if isinstance(status_code, IntEnum):\n            status_code = int(status_code)\n        self.status_code = status_code\n        if self.response_model:\n            assert is_body_allowed_for_status_code(status_code), (\n                f\"Status code {status_code} must not have a response body\"\n            )\n            response_name = \"Response_\" + self.unique_id\n            if annotation_is_pydantic_v1(self.response_model):\n                warnings.warn(\n                    \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\n                    f\" Please update the response model {self.response_model!r}.\",\n                    category=FastAPIDeprecationWarning,\n                    stacklevel=4,\n                )\n            self.response_field = create_model_field(\n                name=response_name,\n                type_=self.response_model,\n                mode=\"serialization\",\n            )\n            # Create a clone of the field, so that a Pydantic submodel is not returned\n            # as is just because it's an instance of a subclass of a more limited class\n            # e.g. UserInDB (containing hashed_password) could be a subclass of User\n            # that doesn't have the hashed_password. But because it's a subclass, it\n            # would pass the validation and be returned as is.\n            # By being a new field, no inheritance will be passed as is. A new model\n            # will always be created.\n            # TODO: remove when deprecating Pydantic v1\n            self.secure_cloned_response_field: Optional[ModelField] = (\n                create_cloned_field(self.response_field)\n            )\n        else:\n            self.response_field = None  # type: ignore\n            self.secure_cloned_response_field = None\n        sel

{"status": "ok", "stdout": "    Optional,\n    Union,\n)\n\nfrom annotated_doc import Doc\nfrom fastapi import params, temp_pydantic_v1_params\nfrom fastapi._compat import (\n    ModelField,\n    Undefined,\n    _get_model_config,\n    _model_dump,\n    _normalize_errors,\n    annotation_is_pydantic_v1,\n    lenient_issubclass,\n    may_v1,\n)\nfrom fastapi.datastructures import Default, DefaultPlaceholder\nfrom fastapi.dependencies.models import Dependant\nfrom fastapi.dependencies.utils import (\n    _should_embed_body_fields,\n    get_body_field,\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    dependency_overrides_provider: Optional[Any] = None,\n    embed_body_fields: bool = False,\n) -> Callable[[Request], Coroutine[Any, Any, Response]]:\n    assert dependant.call is not None, \"dependant.call must be a function\"\n    is_coroutine = dependant.is_coroutine_callable\n    is_body_form = body_field and isinstance(\n        body_field.field_info, (params.Form, temp_pydantic_v1_params.Form)\n    )\n    if isinstance(response_class, DefaultPlaceholder):\n        actual_response_class: type[Response] = response_class.value\n    else:\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "1033\n1036\n1040\n1043\n1045\n1046\n1053\n328\n334\n403\n405\n47\n494\n495\n511\n517\n526\n546\n75\n765\n835\n847\n896\n914\n921\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    is_uploadfile_sequence_annotation,\n    lenient_issubclass,\n    may_v1,\n    sequence_types,\n    serialize_sequence_value,\n    value_is_sequence,\n)\nfrom fastapi._compat.shared import annotation_is_pydantic_v1\nfrom fastapi.background import BackgroundTasks\nfrom fastapi.concurrency import (\n    asynccontextmanager,\n    contextmanager_in_threadpool,\n)\nfrom fastapi.dependencies.models import Dependant\nfrom fastapi.exceptions import DependencyScopeError, FastAPIDeprecationWarning\nfrom fastapi.logger import logger\nfrom fastapi.security.oauth2 import SecurityScopes\nfrom fastapi.types import DependencyCacheKey\nfrom fastapi.utils import create_model_field, get_path_param_names\nfrom pydantic import BaseModel\nfrom pydantic.fields import FieldInfo\nfrom starlette.background import BackgroundTasks as StarletteBackgroundTasks\nfrom starlette.concurrency import run_in_threadpool\nfrom starlette.datastructures import (\n    FormData,\n    Headers,\n    ImmutableMultiDict,\n    QueryParams,\n    UploadFile,\n)\nfrom starlette.requests import HTTPConnection, Request\nfrom starlette.responses import Response\nfrom starlette.websockets import WebSocket\nfrom typing_extensions import Literal, get_args, get_origin\n\nfrom .. import temp_pydantic_v1_params\n\nmultipart_not_installed_error = (\n    'Form data requires \"python-multipart\" to be installed. \\n'\n    'You can install \"python-multipart\" with: \\n\\n'\n    \"pip install python-multipart\\n\"\n)\nmultipart_incorrect_install_error = (\n    'Form data requires \"python-multipart\" to be installed. '\n    'It seems you installed \"multipart\" instead. \\n'\n    'You can remove \"multipart\" with: \\n\\n'\n    \"pip uninstall multipart\\n\\n\"\n    'And then install \"python-multipart\" with: \\n\\n'\n    \"pip install python-multipart\\n\"\n)\n\n\ndef ensure_multipart_is_installed() -> None:\n    try:\n        from python_multipart import __version__\n\n        # Import an attrib

{"status": "ok", "stdout": "        ):\n            assert param_details.field is None, (\n                f\"Cannot specify multiple FastAPI annotations for {param_name!r}\"\n            )\n            continue\n        assert param_details.field is not None\n        if isinstance(param_details.field, may_v1.ModelField):\n            warnings.warn(\n                \"pydantic.v1 is deprecated and will soon stop being supported by FastAPI.\"\n                f\" Please update the param {param_name}: {param_details.type_annotation!r}.\",\n                category=FastAPIDeprecationWarning,\n                stacklevel=5,\n            )\n        if isinstance(\n            param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\n        ):\n            dependant.body_params.append(param_details.field)\n        else:\n            add_param_to_fields(field=param_details.field, dependant=dependant)\n    return dependant\n\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "                arg,\n                (\n                    params.Param,\n                    temp_pydantic_v1_params.Param,\n                    params.Body,\n                    temp_pydantic_v1_params.Body,\n                    params.Depends,\n                ),\n            )\n        ]\n        if fastapi_specific_annotations:\n            fastapi_annotation: Union[\n                FieldInfo, may_v1.FieldInfo, params.Depends, None\n            ] = fastapi_specific_annotations[-1]\n        else:\n            fastapi_annotation = None\n        # Set default for Annotated FieldInfo\n        if isinstance(fastapi_annotation, (FieldInfo, may_v1.FieldInfo)):\n            # Copy `field_info` because we mutate `field_info.default` below.\n            field_info = copy_field_info(\n                field_info=fastapi_annotation,  # type: ignore[arg-type]\n                annotation=use_annotation,\n            )\n            assert field_info.default in {\n                Undefined,\n                may_v1.Undefined,\n            } or field_info.default in {RequiredParam, may_v1.RequiredParam}, (\n                f\"`{field_info.__class__.__name__}` default value cannot be set in\"\n                f\" `Annotated` for {param_name!r}. Set the default value with `=` instead.\"\n            )\n            if value is not inspect.Signature.empty:\n                assert not is_path_param, \"Path parameters cannot have default values\"\n                field_info.default = value\n            else:\n                field_info.default = RequiredParam\n        # Get Annotated Depends\n        elif isinstance(fastapi_annotation, params.Depends):\n            depends = fastapi_annotation\n    # Get Depends from default value\n    if isinstance(value, params.Depends):\n        assert depends is None, (\n            \"Cannot specify `Depends` in `Annotated` and default value\"\n            f\" together for {param_name!r}\"\n        )\n        assert f

{"status": "ok", "stdout": "        use_annotation_from_field_info = get_annotation_from_field_info(\n            use_annotation,\n            field_info,\n            param_name,\n        )\n        if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\n            ensure_multipart_is_installed()\n        if not field_info.alias and getattr(field_info, \"convert_underscores\", None):\n            alias = param_name.replace(\"_\", \"-\")\n        else:\n            alias = field_info.alias or param_name\n        field_info.alias = alias\n        field = create_model_field(\n            name=param_name,\n            type_=use_annotation_from_field_info,\n            default=field_info.default,\n            alias=alias,\n            required=field_info.default\n            in (RequiredParam, may_v1.RequiredParam, Undefined),\n            field_info=field_info,\n        )\n        if is_path_param:\n            assert is_scalar_field(field=field), (\n                \"Path params must be of one of the supported types\"\n            )\n        elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\n            assert (\n                is_scalar_field(field)\n                or is_scalar_sequence_field(field)\n                or (\n                    _is_model_class(field.type_)\n                    # For Pydantic v1\n                    and getattr(field, \"shape\", 1) == 1\n                )\n            )\n\n    return ParamDetails(type_annotation=type_annotation, depends=depends, field=field)\n\n\ndef add_param_to_fields(*, field: ModelField, dependant: Dependant) -> None:\n    field_info = field.field_info\n    field_info_in = getattr(field_info, \"in_\", None)\n    if field_info_in == params.ParamTypes.path:\n        dependant.path_params.append(field)\n    elif field_info_in == params.ParamTypes.query:\n        dependant.query_params.append(field)\n    elif field_info_in == params.ParamTypes.header:\n        dependant.heade

{"status": "ok", "stdout": "            and isinstance(value, str)  # For type checks\n            and value == \"\"\n        )\n        or (is_sequence_field(field) and len(value) == 0)\n    ):\n        if field.required:\n            return\n        else:\n            return deepcopy(field.default)\n    return value\n\n\ndef request_params_to_args(\n    fields: Sequence[ModelField],\n    received_params: Union[Mapping[str, Any], QueryParams, Headers],\n) -> tuple[dict[str, Any], list[Any]]:\n    values: dict[str, Any] = {}\n    errors: list[dict[str, Any]] = []\n\n    if not fields:\n        return values, errors\n\n    first_field = fields[0]\n    fields_to_extract = fields\n    single_not_embedded_field = False\n    default_convert_underscores = True\n    if len(fields) == 1 and lenient_issubclass(first_field.type_, BaseModel):\n        fields_to_extract = get_cached_model_fields(first_field.type_)\n        single_not_embedded_field = True\n        # If headers are in a Pydantic model, the way to disable convert_underscores\n        # would be with Header(convert_underscores=False) at the Pydantic model level\n        default_convert_underscores = getattr(\n            first_field.field_info, \"convert_underscores\", True\n        )\n\n    params_to_process: dict[str, Any] = {}\n\n    processed_keys = set()\n\n    for field in fields_to_extract:\n        alias = None\n        if isinstance(received_params, Headers):\n            # Handle fields extracted from a Pydantic Model for a header, each field\n            # doesn't have a FieldInfo of type Header with the default convert_underscores=True\n            convert_underscores = getattr(\n                field.field_info, \"convert_underscores\", default_convert_underscores\n            )\n            if convert_underscores:\n                alias = get_validation_alias(field)\n                if alias == field.name:\n                    alias = alias.replace(\"_\", \"-\")\n        value = _get_multidict_value(