"title": "Price",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        # TODO: remove when deprecating Pydantic v1
                        | IsDict({"title": "Price", "type": "number"}),
                    },
                },
                "ValidationError": {

        {
            "detail": [
                {
                    "type": "float_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid number, unable to parse string as a number",
                    "input": "foobar",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int of there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where a integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

                    "type": "object",
                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "price": {"title": "Price", "type": "number"},
                    },
                },
                "User": {
                    "title": "User",
                    "required": ["name", "surname"],
                    "type": "object",