Create adistributedarray (requires Parallel Computing Toolbox™) and then validate that the underlying data type isdouble。

x = distributed(single(1:10)); mustBeUnderlyingType(x,"double")

使用“本地”配置文件启动并行池（Parpool）连接到并行池（工人数：6）。

Value must have underlying type 'double'.

mustBeUnderlyingTypethrows an error because the underlying type of the distributed array issingle。

This function declares one input argument. In the争论block, the input is required to have an underlying data type ofsingle。

functiony = mbSingle(input)争论input{mustBeUnderlyingType(input,"single")}enddisp("Input is class "+类（输入）+。.." with underlying type "+ underlyingType(input) +".")end

Call the function with adistributedvector (requires Parallel Computing Toolbox) that has underlying data of typesingle。Since the input passes the argument validation, thembSinglefunction prints information about the class and underlying type.

x = distributed(single(1:10)); mbSingle(x)

使用“本地”配置文件启动并行池（Parpool）连接到并行池（工人数：6）。输入是分布底层类型的类。