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/_compat/__init__.py:36:from .shared import annotation_is_pydantic_v1 as annotation_is_pydantic_v1\nfastapi/_compat/shared.py:197:def annotation_is_pydantic_v1(annotation: Any) -> bool:\nfastapi/_compat/shared.py:207:            if annotation_is_pydantic_v1(sub_annotation):\nfastapi/_compat/v1.py:72:    from pydantic.v1 import BaseConfig as BaseConfig  # type: ignore[assignment]\nfastapi/_compat/v1.py:73:    from pydantic.v1 import BaseModel as BaseModel  # type: ignore[assignment]\nfastapi/_compat/v1.py:74:    from pydantic.v1 import (  # type: ignore[assignment]\nfastapi/_compat/v1.py:77:    from pydantic.v1 import create_model as create_model  # type: ignore[no-redef]\nfastapi/_compat/v1.py:78:    from pydantic.v1.class_validators import Validator as Validator\nfastapi/_compat/v1.py:79:    from pydantic.v1.color import Color as Color  # type: ignore[assignment]\nfastapi/_compat/v1.py:80:    from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper\nfastapi/_compat/v1.py:81:    from pydantic.v1.errors import MissingError\nfastapi/_compat/v1.py:82:    from pydantic.v1.fields import (\nfastapi/_compat/v1.py:91:    from pydantic.v1.fields import FieldInfo as FieldInfo  # type: ignore[assignment]\nfastapi/_compat/v1.py:92:    from pydantic.v1.fields import ModelField as ModelField\nfastapi/_compat/v1.py:93:    from pydantic.v1.fields import Undefined as Undefined\nfastapi/_compat/v1.py:94:    from pydantic.v1.fields import UndefinedType as UndefinedType\nfastapi/_compat/v1.py:95:    from pydantic.v1.networks import AnyUrl as AnyUrl\nfastapi/_compat/v1.py:96:    from pydantic.v1.networks import (  # type: ignore[assignment]\nfastapi/_compat/v1.py:99:    from pydantic.v1.schema import TypeModelSet as TypeModelSet\nfastapi/_compat/v1.py:100:    from pydantic.v1.schema import (\n", "stderr": "", "exit_code": 0}

{"status": "ok", "filepath": "fastapi/_compat/v1.py", "content": "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 

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

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

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

{"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": "\n\nRequestErrorModel: Type[BaseModel] = create_model(\"Request\")\n\n\ndef with_info_plain_validator_function(\n    function: Callable[..., Any],\n    *,\n    ref: Union[str, None] = None,\n    metadata: Any = None,\n    serialization: Any = None,\n) -> Any:\n    return {}\n\n\ndef get_model_definitions(\n    *,\n    flat_models: Set[Union[Type[BaseModel], Type[Enum]]],\n    model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],\n) -> Dict[str, Any]:\n    definitions: Dict[str, Dict[str, Any]] = {}\n    for model in flat_models:\n        m_schema, m_definitions, m_nested_models = model_process_schema(\n            model, model_name_map=model_name_map, ref_prefix=REF_PREFIX\n        )\n        definitions.update(m_definitions)\n        model_name = model_name_map[model]\n        definitions[model_name] = m_schema\n    for m_schema in definitions.values():\n        if \"description\" in m_schema:\n            m_schema[\"description\"] = m_schema[\"description\"].split(\"\\f\")[0]\n    return definitions\n\n\ndef is_pv1_scalar_field(field: ModelField) -> bool:\n    from fastapi import params\n\n    field_info = field.field_info\n    if not (\n        field.shape == SHAPE_SINGLETON\n        and not lenient_issubclass(field.type_, BaseModel)\n        and not lenient_issubclass(field.type_, dict)\n        and not shared.field_annotation_is_sequence(field.type_)\n        and not is_dataclass(field.type_)\n        and not isinstance(field_info, params.Body)\n    ):\n        return False\n    if field.sub_fields:\n        if not all(is_pv1_scalar_field(f) for f in field.sub_fields):\n            return False\n    return True\n\n\ndef is_pv1_scalar_sequence_field(field: ModelField) -> bool:\n    if (field.shape in sequence_shapes) and not lenient_issubclass(\n        field.type_, BaseModel\n    ):\n        if field.sub_fields is not None:\n            for sub_field in field.sub_fields:\n                if not is_pv1_scalar_field(sub_field)

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

{"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": "Success\n", "stderr": "", "exit_code": 0}

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

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

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

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