from .v2 import copy_field_info as copy_field_info
from .v2 import create_body_model as create_body_model
from .v2 import evaluate_forwardref as evaluate_forwardref
from .v2 import get_cached_model_fields as get_cached_model_fields
from .v2 import get_compat_model_name_map as get_compat_model_name_map
from .v2 import get_definitions as get_definitions
from .v2 import get_missing_field_error as get_missing_field_error

    ModelField,
    RequiredParam,
    Undefined,
    _regenerate_error_with_loc,
    copy_field_info,
    create_body_model,
    evaluate_forwardref,
    field_annotation_is_scalar,
    get_cached_model_fields,
    get_missing_field_error,
    is_bytes_field,
    is_bytes_sequence_field,
    is_scalar_field,
    is_scalar_sequence_field,
    is_sequence_field,
    is_uploadfile_or_nonable_uploadfile_annotation,

                field_info=field_info,
                name=name,
                config=model_config,
            )
        )
    return model_fields


@lru_cache
def get_cached_model_fields(model: type[BaseModel]) -> list[ModelField]:
    return get_model_fields(model)  # type: ignore[return-value]


# Duplicate of several schema functions from Pydantic v1 to make them compatible with