var field []byte
	_ = field
	var zb0001 uint32
	zb0001, err = dc.ReadMapHeader()
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		case "ReplicatedSize":

        return False
    else:
        assert isinstance(
            param_field.field_info, params.Body
        ), f"Param: {param_field.name} can only be a request body, using Body()"
        return True


def add_param_to_fields(*, field: ModelField, dependant: Dependant) -> None:
    field_info = field.field_info
    field_info_in = getattr(field_info, "in_", None)

            """
            'Whitelist' validation step. The parameter field will be the single one
            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the

     * @param field
     *            フィールド。{@literal null}であってはいけません
     */
    public FieldDescImpl(final BeanDesc beanDesc, final Field field) {
        assertArgumentNotNull("beanDesc", beanDesc);
        assertArgumentNotNull("field", field);

        this.beanDesc = beanDesc;
        this.field = field;
        fieldName = field.getName();
        fieldType = field.getType();

                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "password"],
                    "msg": "field required",
                    "type": "value_error.missing",

!!! tip
    Notice how each model's attribute with a type, default value and `Field` has the same structure as a *path operation function's* parameter, with `Field` instead of `Path`, `Query` and `Body`.

## Add extra information

You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema.

!!! tip "提示"

    注意，模型属性的类型、默认值及 `Field` 的代码结构与*路径操作函数*的参数相同，只不过是用 `Field` 替换了`Path`、`Query`、`Body`。

## 添加更多信息

`Field`、`Query`、`Body` 等对象里可以声明更多信息，并且 JSON Schema 中也会集成这些信息。

*声明示例*一章中将详细介绍添加更多信息的知识。

## 小结

Pydantic 的 `Field` 可以为模型属性声明更多校验和元数据。

	expr.SQL = m.DataTypeOf(field)

	if field.NotNull {
		expr.SQL += " NOT NULL"
	}

	if field.HasDefaultValue && (field.DefaultValueInterface != nil || field.DefaultValue != "") {
		if field.DefaultValueInterface != nil {
			defaultStmt := &gorm.Statement{Vars: []interface{}{field.DefaultValueInterface}}
			m.Dialector.BindVarTo(defaultStmt, defaultStmt, field.DefaultValueInterface)

  /** The HTTP {@code Cache-Control} header field name. */
  public static final String CACHE_CONTROL = "Cache-Control";
  /** The HTTP {@code Content-Length} header field name. */
  public static final String CONTENT_LENGTH = "Content-Length";
  /** The HTTP {@code Content-Type} header field name. */
  public static final String CONTENT_TYPE = "Content-Type";
  /** The HTTP {@code Date} header field name. */
  public static final String DATE = "Date";

    body_schema = get_schema_from_model_field(
        field=body_field,
        schema_generator=schema_generator,
        model_name_map=model_name_map,
        field_mapping=field_mapping,
        separate_input_output_schemas=separate_input_output_schemas,
    )
    field_info = cast(Body, body_field.field_info)
    request_media_type = field_info.media_type
    required = body_field.required