from .shared import PYDANTIC_VERSION_MINOR_TUPLE as PYDANTIC_VERSION_MINOR_TUPLE
from .shared import annotation_is_pydantic_v1 as annotation_is_pydantic_v1
from .shared import field_annotation_is_scalar as field_annotation_is_scalar
from .shared import is_pydantic_v1_model_class as is_pydantic_v1_model_class
from .shared import is_pydantic_v1_model_instance as is_pydantic_v1_model_instance
from .shared import (

                at_least_one_scalar_sequence = True
                continue
            elif not field_annotation_is_scalar(arg):
                return False
        return at_least_one_scalar_sequence
    return field_annotation_is_sequence(annotation) and all(
        field_annotation_is_scalar(sub_annotation)
        for sub_annotation in get_args(annotation)
    )

from fastapi._compat import (
    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,

        new_definitions[new_key] = new_value
    return new_field_mapping, new_definitions


def is_scalar_field(field: ModelField) -> bool:
    from fastapi import params

    return shared.field_annotation_is_scalar(
        field.field_info.annotation
    ) and not isinstance(field.field_info, params.Body)


def is_sequence_field(field: ModelField) -> bool: