fastapi_11355

{"status": "ok", "stdout": "fastapi/dependencies/utils.py:213:        annotation = evaluate_forwardref(annotation, globalns, globalns)\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "            kind=param.kind,\n            default=param.default,\n            annotation=get_typed_annotation(param.annotation, globalns),\n        )\n        for param in signature.parameters.values()\n    ]\n    typed_signature = inspect.Signature(typed_params)\n    return typed_signature\n\n\ndef get_typed_annotation(annotation: Any, globalns: Dict[str, Any]) -> Any:\n    if isinstance(annotation, str):\n        annotation = ForwardRef(annotation)\n        annotation = evaluate_forwardref(annotation, globalns, globalns)\n        if annotation is type(None):\n            return None\n    return annotation\n\n\ndef get_typed_return_annotation(call: Callable[..., Any]) -> Any:\n    signature = inspect.signature(call)\n    unwrapped = inspect.unwrap(call)\n    annotation = signature.return_annotation\n\n    if annotation is inspect.Signature.empty:\n        return None\n\n    globalns = getattr(unwrapped, \"__globals__\", {})\n    return get_typed_annotation(annotation, globalns)\n\n\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "fastapi/dependencies/utils.py:33:    evaluate_forwardref,\nfastapi/dependencies/utils.py:213:        annotation = evaluate_forwardref(annotation, globalns, globalns)\nfastapi/_compat/__init__.py:17:from .main import evaluate_forwardref as evaluate_forwardref\nfastapi/_compat/v1.py:69:    from pydantic.typing import evaluate_forwardref as evaluate_forwardref\nfastapi/_compat/v1.py:122:    from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\nfastapi/_compat/main.py:29:    from .v2 import evaluate_forwardref as evaluate_forwardref\nfastapi/_compat/main.py:45:    from .v1 import evaluate_forwardref as evaluate_forwardref\nfastapi/_compat/v2.py:50:evaluate_forwardref = eval_type_lenient\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "    is_scalar_field,\n    is_scalar_sequence_field,\n    is_sequence_field,\n    is_uploadfile_or_nonable_uploadfile_annotation,\n    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, SecurityRequirement\nfrom fastapi.exceptions import DependencyScopeError\nfrom fastapi.logger import logger\nfrom fastapi.security.base import SecurityBase\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "import dataclasses\nimport inspect\nfrom contextlib import AsyncExitStack, contextmanager\nfrom copy import copy, deepcopy\nfrom dataclasses import dataclass\nfrom typing import (\n    Any,\n    Callable,\n    Coroutine,\n    Dict,\n    ForwardRef,\n    List,\n    Mapping,\n    Optional,\n    Sequence,\n    Tuple,\n    Type,\n    Union,\n    cast,\n)\n\nimport anyio\nfrom fastapi import params\nfrom fastapi._compat import (\n    PYDANTIC_V2,\n    ModelField,\n    RequiredParam,\n    Undefined,\n    _is_error_wrapper,\n    _is_model_class,\n    copy_field_info,\n    create_body_model,\n    evaluate_forwardref,\n    field_annotation_is_scalar,\n    get_annotation_from_field_info,\n    get_cached_model_fields,\n    get_missing_field_error,\n    is_bytes_field,\n    is_bytes_sequence_field,\n    is_scalar_field,\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "import sys\nfrom functools import lru_cache\nfrom typing import (\n    Any,\n    Dict,\n    List,\n    Sequence,\n    Tuple,\n    Type,\n)\n\nfrom fastapi._compat import may_v1\nfrom fastapi._compat.shared import PYDANTIC_V2, lenient_issubclass\nfrom fastapi.types import ModelNameMap\nfrom pydantic import BaseModel\nfrom typing_extensions import Literal\n\nfrom .model_field import ModelField\n\nif PYDANTIC_V2:\n    from .v2 import BaseConfig as BaseConfig\n    from .v2 import FieldInfo as FieldInfo\n    from .v2 import PydanticSchemaGenerationError as PydanticSchemaGenerationError\n    from .v2 import RequiredParam as RequiredParam\n    from .v2 import Undefined as Undefined\n    from .v2 import UndefinedType as UndefinedType\n    from .v2 import Url as Url\n    from .v2 import Validator as Validator\n    from .v2 import evaluate_forwardref as evaluate_forwardref\n    from .v2 import get_missing_field_error as get_missing_field_error\n    from .v2 import (\n        with_info_plain_validator_function as with_info_plain_validator_function,\n    )\nelse:\n    from .v1 import BaseConfig as BaseConfig  # type: ignore[assignment]\n    from .v1 import FieldInfo as FieldInfo\n    from .v1 import (  # type: ignore[assignment]\n        PydanticSchemaGenerationError as PydanticSchemaGenerationError,\n    )\n    from .v1 import RequiredParam as RequiredParam\n    from .v1 import Undefined as Undefined\n    from .v1 import UndefinedType as UndefinedType\n    from .v1 import Url as Url  # type: ignore[assignment]\n    from .v1 import Validator as Validator\n    from .v1 import evaluate_forwardref as evaluate_forwardref\n    from .v1 import get_missing_field_error as get_missing_field_error\n    from .v1 import (  # type: ignore[assignment]\n        with_info_plain_validator_function as with_info_plain_validator_function,\n    )\n\n\n@lru_cache\ndef get_cached_model_fields(model: Type[BaseModel]) -> List[ModelField]:\n    if lenient_issubclass(model, ma

{"status": "ok", "stdout": "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, UnionType\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 ErrorWrapper(Exception):\n    pass

{"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": "        get_annotation_from_field_info as get_annotation_from_field_info,\n    )\n    from pydantic.schema import get_flat_models_from_field as get_flat_models_from_field\n    from pydantic.schema import (\n        get_flat_models_from_fields as get_flat_models_from_fields,\n    )\n    from pydantic.schema import get_model_name_map as get_model_name_map\n    from pydantic.types import SecretBytes as SecretBytes\n    from pydantic.types import SecretStr as SecretStr\n    from pydantic.typing import evaluate_forwardref as evaluate_forwardref\n    from pydantic.utils import lenient_issubclass as lenient_issubclass\n\n\nelse:\n    from pydantic.v1 import BaseConfig as BaseConfig  # type: ignore[assignment]\n    from pydantic.v1 import BaseModel as BaseModel  # type: ignore[assignment]\n    from pydantic.v1 import (  # type: ignore[assignment]\n        ValidationError as ValidationError,\n    )\n    from pydantic.v1 import create_model as create_model  # type: ignore[no-redef]\n    from pydantic.v1.class_validators import Validator as Validator\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "        get_flat_models_from_field as get_flat_models_from_field,\n    )\n    from pydantic.v1.schema import (\n        get_flat_models_from_fields as get_flat_models_from_fields,\n    )\n    from pydantic.v1.schema import get_model_name_map as get_model_name_map\n    from pydantic.v1.types import (  # type: ignore[assignment]\n        SecretBytes as SecretBytes,\n    )\n    from pydantic.v1.types import (  # type: ignore[assignment]\n        SecretStr as SecretStr,\n    )\n    from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref\n    from pydantic.v1.utils import lenient_issubclass as lenient_issubclass\n\n\nGetJsonSchemaHandler = Any\nJsonSchemaValue = Dict[str, Any]\nCoreSchema = Any\nUrl = AnyUrl\n\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "Result: <class 'int'>\nSuccess\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "Result: ForwardRef('List[MyClass]')\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "Result: ForwardRef('List[MyClass]')\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "Result: ForwardRef('List[MyClass]')\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "Result: typing.List[int]\n", "stderr": "", "exit_code": 0}

{"status": "ok", "stdout": "Result: ForwardRef('List[MyClass]')\n", "stderr": "", "exit_code": 0}