include_optional_dependencies: List[str] = config.get(
        "include-optional-dependencies", []
    )
    # Override main [project] configs with custom configs for this package
    for key, value in project_config.items():
        metadata[key] = value
    # Get custom build config for the current package
    build_config: Dict[str, Any] = (
        config.get("tool", {}).get("pdm", {}).get("build", {})
    )

            {
                "type_": type_,
                "class_validators": class_validators,
                "default": default,
                "required": required,
                "model_config": model_config,
                "alias": alias,
            }
        )
    try:
        return ModelField(**kwargs)  # type: ignore[arg-type]
    except (RuntimeError, PydanticSchemaGenerationError):

    github_sponsors_path.write_text(new_github_sponsors_content, encoding="utf-8")
    logging.info("Setting up GitHub Actions git user")
    subprocess.run(["git", "config", "user.name", "github-actions"], check=True)
    subprocess.run(
        ["git", "config", "user.email", "******@****.***"], check=True
    )
    branch_name = "fastapi-people"
    logging.info(f"Creating a new branch {branch_name}")

class RoleEnum(Enum):
    admin = "admin"
    normal = "normal"


class ModelWithConfig(BaseModel):
    role: Optional[RoleEnum] = None

    if PYDANTIC_V2:
        model_config = {"use_enum_values": True}
    else:

        class Config:
            use_enum_values = True


class ModelWithAlias(BaseModel):
    foo: str = Field(alias="Foo")


class ModelWithDefault(BaseModel):

        ) -> CoreSchema:
            return with_info_plain_validator_function(cls._validate)


class BaseModelWithConfig(BaseModel):
    if PYDANTIC_V2:
        model_config = {"extra": "allow"}

    else:

        class Config:
            extra = "allow"


class Contact(BaseModelWithConfig):
    name: Optional[str] = None
    url: Optional[AnyUrl] = None
    email: Optional[EmailStr] = None

  print('    %s' % config['cudnn_library_dir'])
  print('    %s' % config['cudnn_include_dir'])

  if 'tensorrt_version' in config:
    print('Found TensorRT %s in:' % config['tensorrt_version'])
    print('    %s' % config['tensorrt_library_dir'])
    print('    %s' % config['tensorrt_include_dir'])

  if config.get('nccl_version', None):
    print('Found NCCL %s in:' % config['nccl_version'])

        model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
    ) -> Any:
        return model.model_dump(mode=mode, **kwargs)

    def _get_model_config(model: BaseModel) -> Any:
        return model.model_config

    def get_schema_from_model_field(
        *,
        field: ModelField,
        schema_generator: GenerateJsonSchema,
        model_name_map: ModelNameMap,

        exclude = set(exclude)
    if isinstance(obj, BaseModel):
        # TODO: remove when deprecating Pydantic v1
        encoders: Dict[Any, Any] = {}
        if not PYDANTIC_V2:
            encoders = getattr(obj.__config__, "json_encoders", {})  # type: ignore[attr-defined]
            if custom_encoder:
                encoders.update(custom_encoder)
        obj_dict = _model_dump(
            obj,
            mode="json",

    List,
    Optional,
    Sequence,
    Set,
    Tuple,
    Type,
    Union,
)

from fastapi import params
from fastapi._compat import (
    ModelField,
    Undefined,
    _get_model_config,
    _model_dump,
    _normalize_errors,
    lenient_issubclass,
)
from fastapi.datastructures import Default, DefaultPlaceholder
from fastapi.dependencies.models import Dependant