fastapi_14186

{"status": "ok", "stdout": "fastapi/dependencies/utils.py:51:from fastapi._compat.shared import annotation_is_pydantic_v1\nfastapi/dependencies/utils.py:79:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:323:            param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\nfastapi/dependencies/utils.py:392:                    temp_pydantic_v1_params.Param,\nfastapi/dependencies/utils.py:394:                    temp_pydantic_v1_params.Body,\nfastapi/dependencies/utils.py:483:            if annotation_is_pydantic_v1(use_annotation):\nfastapi/dependencies/utils.py:484:                field_info = temp_pydantic_v1_params.Body(\nfastapi/dependencies/utils.py:500:                field_info, (params.Path, temp_pydantic_v1_params.Path)\nfastapi/dependencies/utils.py:506:            isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\nfastapi/dependencies/utils.py:515:        if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\nfastapi/dependencies/utils.py:534:        elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\nfastapi/dependencies/utils.py:761:            isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:827:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:839:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:888:        isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:906:            isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:913:            and isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:1020:        isinstance(f.field_info, temp_pydantic_v1_params.File)\nfastapi/dependencies/utils.py:1023:       

{"status": "ok", "stdout": "fastapi/dependencies/utils.py:79:from .. import temp_pydantic_v1_params\nfastapi/dependencies/utils.py:323:            param_details.field.field_info, (params.Body, temp_pydantic_v1_params.Body)\nfastapi/dependencies/utils.py:392:                    temp_pydantic_v1_params.Param,\nfastapi/dependencies/utils.py:394:                    temp_pydantic_v1_params.Body,\nfastapi/dependencies/utils.py:484:                field_info = temp_pydantic_v1_params.Body(\nfastapi/dependencies/utils.py:500:                field_info, (params.Path, temp_pydantic_v1_params.Path)\nfastapi/dependencies/utils.py:506:            isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param))\nfastapi/dependencies/utils.py:515:        if isinstance(field_info, (params.Form, temp_pydantic_v1_params.Form)):\nfastapi/dependencies/utils.py:534:        elif isinstance(field_info, (params.Query, temp_pydantic_v1_params.Query)):\nfastapi/dependencies/utils.py:761:            isinstance(field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:827:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:839:        assert isinstance(field_info, (params.Param, temp_pydantic_v1_params.Param)), (\nfastapi/dependencies/utils.py:888:        isinstance(first_field.field_info, (params.Form, temp_pydantic_v1_params.Form))\nfastapi/dependencies/utils.py:906:            isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:913:            and isinstance(field_info, (params.File, temp_pydantic_v1_params.File))\nfastapi/dependencies/utils.py:1020:        isinstance(f.field_info, temp_pydantic_v1_params.File)\nfastapi/dependencies/utils.py:1023:        BodyFieldInfo: Type[temp_pydantic_v1_params.Body] = temp_pydantic_v1_params.File  # type: ignore[no-redef]\nfastapi/dependencies/utils.py:1027:        isinstance(f.field_info, temp_pydant

{"status": "ok", "stdout": "fastapi/__init__.py\nfastapi/temp_pydantic_v1_params.py\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "import warnings\nfrom typing import Any, Callable, Dict, List, Optional, Union\n\nfrom fastapi.openapi.models import Example\nfrom fastapi.params import ParamTypes\nfrom typing_extensions import Annotated, deprecated\n\nfrom ._compat.shared import PYDANTIC_VERSION_MINOR_TUPLE\nfrom ._compat.v1 import FieldInfo, Undefined\n\n_Unset: Any = Undefined\n\n\nclass Param(FieldInfo):  # type: ignore[misc]\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                \"Deprecated in

{"status": "ok", "stdout": "from copy import copy\nfrom dataclasses import dataclass, is_dataclass\nfrom enum import Enum\nfrom typing import (\n    Any,\n    Callable,\n    Dict,\n    List,\n    Sequence,\n    Set,\n    Tuple,\n    Type,\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.version import VERSION as PYDANTIC_VERSION\nfrom typing_extensions import Literal\n\nPYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(\".\")[:2])\nPYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2\n# Keeping old \"Required\" functionality from Pydantic V1, without\n# shadowing typing.Required.\nRequiredParam: Any = Ellipsis\n\nif not PYDANTIC_V2:\n    from pydantic import BaseConfig as BaseConfig\n    from pydantic import BaseModel as BaseModel\n    from pydantic import ValidationError as ValidationError\n    from pydantic import create_model as create_model\n    from pydantic.class_validators import Validator as Validator\n    from pydantic.color import Color as Color\n    from pydantic.error_wrappers import ErrorWrapper as ErrorWrapper\n    from pydantic.errors import MissingError\n    from pydantic.fields import (  # type: ignore[attr-defined]\n        SHAPE_FROZENSET,\n        SHAPE_LIST,\n        SHAPE_SEQUENCE,\n        SHAPE_SET,\n        SHAPE_SINGLETON,\n        SHAPE_TUPLE,\n        SHAPE_TUPLE_ELLIPSIS,\n    )\n    from pydantic.fields import FieldInfo as FieldInfo\n    from pydantic.fields import ModelField as ModelField  # type: ignore[attr-defined]\n    from pydantic.fields import Undefined as Undefined  # type: ignore[attr-defined]\n    from pydantic.fields import (  # type: ignore[attr-defined]\n        UndefinedType as UndefinedType,\n    )\n    from pydantic.networks import AnyUrl as AnyUrl\n    from pydantic.networks import NameEmail as NameEmail\n    from pydantic.schema import TypeModelSet as TypeModelSet\n    from

{"status": "ok", "stdout": "import sys\nimport types\nimport typing\nfrom collections import deque\nfrom dataclasses import is_dataclass\nfrom typing import (\n    Any,\n    Deque,\n    FrozenSet,\n    List,\n    Mapping,\n    Sequence,\n    Set,\n    Tuple,\n    Type,\n    Union,\n)\n\nfrom fastapi._compat import 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 Annotated, get_args, get_origin\n\n# Copy from Pydantic v2, compatible with v1\nif sys.version_info < (3, 9):\n    # Pydantic no longer supports Python 3.8, this might be incorrect, but the code\n    # this is used for is also never reached in this codebase, as it's a copy of\n    # Pydantic's lenient_issubclass, just for compatibility with v1\n    # TODO: remove when dropping support for Python 3.8\n    WithArgsTypes: Tuple[Any, ...] = ()\nelif 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    list: list,\n    Tuple: tuple,\n    tuple: tuple,\n    Set: set,\n    set: set,\n    FrozenSet: frozenset,\n    frozenset: frozenset,\n    Deque: deque,\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 isi

{"status": "ok", "stdout": "72:    from pydantic.v1 import BaseConfig as BaseConfig  # type: ignore[assignment]\n73:    from pydantic.v1 import BaseModel as BaseModel  # type: ignore[assignment]\n74:    from pydantic.v1 import (  # type: ignore[assignment]\n77:    from pydantic.v1 import create_model as create_model  # type: ignore[no-redef]\n78:    from pydantic.v1.class_validators import Validator as Validator\n79:    from pydantic.v1.color import Color as Color  # type: ignore[assignment]\n80:    from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\n81:    from pydantic.v1.errors import MissingError\n82:    from pydantic.v1.fields import (\n91:    from pydantic.v1.fields import FieldInfo as FieldInfo  # type: ignore[assignment]\n92:    from pydantic.v1.fields import ModelField as ModelField\n93:    from pydantic.v1.fields import Undefined as Undefined\n94:    from pydantic.v1.fields import UndefinedType as UndefinedType\n95:    from pydantic.v1.networks import AnyUrl as AnyUrl\n96:    from pydantic.v1.networks import (  # type: ignore[assignment]\n99:    from pydantic.v1.schema import TypeModelSet as TypeModelSet\n100:    from pydantic.v1.schema import (\n105:    from pydantic.v1.schema import (\n108:    from pydantic.v1.schema import (\n111:    from pydantic.v1.schema import get_model_name_map as get_model_name_map\n112:    from pydantic.v1.types import (  # type: ignore[assignment]\n115:    from pydantic.v1.types import (  # type: ignore[assignment]\n118:    from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\n119:    from pydantic.v1.utils import lenient_issubclass as lenient_issubclass\n", "stderr": "", "exit_code": 0}

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

{"status": "ok", "stdout": "3.13.15 (main, Sep  1 2026, 14:05:45) [Clang 22.1.3 ]\n", "stderr": "", "exit_code": 0}

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

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

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

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

{"status": "ok", "stdout": "from copy import copy\nfrom dataclasses import dataclass, is_dataclass\nfrom enum import Enum\nfrom typing import (\n    Any,\n    Callable,\n    Dict,\n    List,\n    Sequence,\n    Set,\n    Tuple,\n    Type,\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.version import VERSION as PYDANTIC_VERSION\nfrom typing_extensions import Literal\n\nPYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(\".\")[:2])\nPYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2\n# Keeping old \"Required\" functionality from Pydantic V1, without\n# shadowing typing.Required.\nRequiredParam: Any = Ellipsis\n\nif not PYDANTIC_V2:\n    from pydantic import BaseConfig as BaseConfig\n    from pydantic import BaseModel as BaseModel\n    from pydantic import ValidationError as ValidationError\n    from pydantic import create_model as create_model\n    from pydantic.class_validators import Validator as Validator\n    from pydantic.color import Color as Color\n    from pydantic.error_wrappers import ErrorWrapper as ErrorWrapper\n    from pydantic.errors import MissingError\n    from pydantic.fields import (  # type: ignore[attr-defined]\n        SHAPE_FROZENSET,\n        SHAPE_LIST,\n        SHAPE_SEQUENCE,\n        SHAPE_SET,\n        SHAPE_SINGLETON,\n        SHAPE_TUPLE,\n        SHAPE_TUPLE_ELLIPSIS,\n    )\n    from pydantic.fields import FieldInfo as FieldInfo\n    from pydantic.fields import ModelField as ModelField  # type: ignore[attr-defined]\n    from pydantic.fields import Undefined as Undefined  # type: ignore[attr-defined]\n    from pydantic.fields import (  # type: ignore[attr-defined]\n        UndefinedType as UndefinedType,\n    )\n    from pydantic.networks import AnyUrl as AnyUrl\n    from pydantic.networks import NameEmail as NameEmail\n    from pydantic.schema import TypeModelSet as TypeModelSet\n    from

{"status": "ok", "stdout": "3.13.15 (main, Sep  1 2026, 14:05:45) [Clang 22.1.3 ]\n", "stderr": "", "exit_code": 0}

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

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

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

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

{"status": "error", "error_type": "CommandError", "error_message": "Traceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n    import warnings; warnings.simplefilter('always'); from pydantic.v1 import FieldInfo\n                                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nImportError: cannot import name 'FieldInfo' from 'pydantic.v1' (/Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/fastapi/lib/python3.13/site-packages/pydantic/v1/__init__.py)\n", "details": {"stdout": "Traceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n    import warnings; warnings.simplefilter('always'); from pydantic.v1 import FieldInfo\n                                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nImportError: cannot import name 'FieldInfo' from 'pydantic.v1' (/Users/jp/repos/kaggle-gemini-coding-agent-post-training/.envs/fastapi/lib/python3.13/site-packages/pydantic/v1/__init__.py)\n", "stderr": "", "exit_code": 1}}

{"status": "ok", "stdout": "['AmqpDsn', 'AnyHttpUrl', 'AnyStrMaxLengthError', 'AnyStrMinLengthError', 'AnyUrl', 'ArbitraryTypeError', 'BaseConfig', 'BaseModel', 'BaseSettings', 'BoolError', 'ByteSize', 'BytesError', 'CallableError', 'ClassError', 'CockroachDsn', 'ColorError', 'ConfigDict', 'ConfigError', 'ConstrainedBytes', 'ConstrainedDate', 'ConstrainedDecimal', 'ConstrainedFloat', 'ConstrainedFrozenSet', 'ConstrainedInt', 'ConstrainedList', 'ConstrainedSet', 'ConstrainedStr', 'DataclassTypeError', 'DateError', 'DateNotInTheFutureError', 'DateNotInThePastError', 'DateTimeError', 'DecimalError', 'DecimalIsNotFiniteError', 'DecimalMaxDigitsError', 'DecimalMaxPlacesError', 'DecimalWholeDigitsError', 'DictError', 'DirectoryPath', 'DurationError', 'EmailError', 'EmailStr', 'EnumError', 'EnumMemberError', 'Extra', 'ExtraError', 'Field', 'FilePath', 'FileUrl', 'FiniteFloat', 'FloatError', 'FrozenSetError', 'FrozenSetMaxLengthError', 'FrozenSetMinLengthError', 'FutureDate', 'HashableError', 'HttpUrl', 'IPv4AddressError', 'IPv4InterfaceError', 'IPv4NetworkError', 'IPv6AddressError', 'IPv6InterfaceError', 'IPv6NetworkError', 'IPvAnyAddress', 'IPvAnyAddressError', 'IPvAnyInterface', 'IPvAnyInterfaceError', 'IPvAnyNetwork', 'IPvAnyNetworkError', 'IntEnumError', 'IntegerError', 'InvalidByteSize', 'InvalidByteSizeUnit', 'InvalidDiscriminator', 'InvalidLengthForBrand', 'Json', 'JsonError', 'JsonTypeError', 'JsonWrapper', 'KafkaDsn', 'ListError', 'ListMaxLengthError', 'ListMinLengthError', 'ListUniqueItemsError', 'LuhnValidationError', 'MissingDiscriminator', 'MissingError', 'MongoDsn', 'NameEmail', 'NegativeFloat', 'NegativeInt', 'NonNegativeFloat', 'NonNegativeInt', 'NonPositiveFloat', 'NonPositiveInt', 'NoneBytes', 'NoneIsAllowedError', 'NoneIsNotAllowedError', 'NoneStr', 'NoneStrBytes', 'NotDigitError', 'NotNoneError', 'NumberNotGeError', 'NumberNotGtError', 'NumberNotLeError', 'NumberNotLtError', 'NumberNotMultipleError', 'PastDate', 'PathError', 'PathNotADirectoryError', 'P

{"status": "ok", "stdout": "['Annotated', 'Any', 'Callable', 'CollectionCounter', 'CollectionsHashable', 'CollectionsIterable', 'ConfigError', 'Counter', 'DefaultDict', 'DeferredType', 'Deque', 'Dict', 'ErrorWrapper', 'Field', 'FieldInfo', 'Final', 'ForwardRef', 'FrozenSet', 'Generator', 'InvalidDiscriminator', 'Iterable', 'Iterator', 'Json', 'JsonWrapper', 'List', 'MAPPING_LIKE_SHAPES', 'Mapping', 'MissingDiscriminator', 'ModelField', 'ModelPrivateAttr', 'NoArgAnyCallable', 'NoneIsNotAllowedError', 'Optional', 'Pattern', 'PrivateAttr', 'PyObjectStr', 'Representation', 'Required', 'SHAPE_COUNTER', 'SHAPE_DEFAULTDICT', 'SHAPE_DEQUE', 'SHAPE_DICT', 'SHAPE_FROZENSET', 'SHAPE_GENERIC', 'SHAPE_ITERABLE', 'SHAPE_LIST', 'SHAPE_MAPPING', 'SHAPE_NAME_LOOKUP', 'SHAPE_SEQUENCE', 'SHAPE_SET', 'SHAPE_SINGLETON', 'SHAPE_TUPLE', 'SHAPE_TUPLE_ELLIPSIS', 'Sequence', 'Set', 'T', 'TYPE_CHECKING', 'Tuple', 'Type', 'TypeVar', 'Undefined', 'UndefinedType', 'Union', 'Validator', 'ValueItems', '__annotations__', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'constant_validator', 'convert_generics', 'copy', 'defaultdict', 'deque', 'dict_validator', 'display_as_type', 'errors_', 'find_validators', 'get_args', 'get_discriminator_alias_and_values', 'get_origin', 'get_unique_discriminator_alias', 'is_finalvar', 'is_finalvar_with_default_val', 'is_literal_type', 'is_new_type', 'is_none_type', 'is_typeddict', 'is_typeddict_special', 'is_union', 'lenient_isinstance', 'lenient_issubclass', 'make_generic_validator', 'new_type_supertype', 'prep_validators', 're', 'sequence_like', 'smart_deepcopy', 'validate_json']\n", "stderr": "", "exit_code": 0}

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

{"status": "ok", "stdout": "3.13.15 (main, Sep  1 2026, 14:05:45) [Clang 22.1.3 ]\n", "stderr": "", "exit_code": 0}

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

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

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

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

{"status": "ok", "patch_size": 0, "files_changed": 0}