When should you use golang methods?

Generic methods can parameterize algorithms and are suitable for different types of data. Use cases include: general data processing (sorting, filtering, mapping) algorithm optimization (improving performance for specific types) reusability (creating reusable methods that work for multiple types)

When to use Go generic methods?

Generic methods allow you to parameterize the same algorithm using different types. They can be declared by specifying type parameters in the method signature.

Syntax

func <type_parameter_list> <func_name>(<parameter_list>) <return_type_list>

Use cases

Here are the situations where you might want to use generic methods:

• General Data Processing: Write methods that can perform operations on different types of data, such as sorting, filtering, and mapping.
• Optimization algorithm: Using generic methods can optimize algorithms for specific types and improve performance.
• Reusability: Create reusable methods that work on various types, reducing duplicate code.

Practical case

We create an example generic method to compare the size of elements in two slices:

func Min[T constraints.Ordered](a, b []T) []T {
    if len(a) < len(b) {
        return a
    }
    return b
}

It uses constraints.Ordered constraints to ensure that the T type implements the Ordered interface, which defines the operator. Now we can use this method for different types like:

fmt.Println(Min([]int{1, 2, 3}, []int{4, 5, 6})) // [1 2 3]
fmt.Println(Min([]string{"a", "b", "c"}, []string{"d", "e", "f"})) // [a b c]

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