Do Golang generics support higher order functions?

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Release: 2024-04-17 08:57:01
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Yes, Go generics support higher-order functions. It allows writing higher-order functions that can handle parameters of different types. By using type parameters, these functions can be independent of a specific data type.

Do Golang generics support higher order functions?

Do Golang generics support higher-order functions?

Preface

Go’s generics are a highly anticipated feature introduced in Go 1.18. Generics allow us to write code that can take different types of parameters at runtime. This provides strong potential for code reuse and abstraction.

Higher Order Functions

In computer science, a higher order function is a function that can receive other functions as arguments or return functions. They allow us to abstract our code, improving reusability and readability.

Generics and higher-order functions in Golang

Generics in Go 1.18 allow us to write higher-order functions that can handle different types of arguments. By using type parameters, these functions can be independent of a specific data type.

Practical Case

Let us use an example to illustrate how to use generics to write higher-order functions in Go:

func Filter[T any](fn func(T) bool, xs []T) []T {
    var result []T
    for _, x := range xs {
        if fn(x) {
            result = append(result, x)
        }
    }
    return result
}
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This## The #Filter function receives two parameters: a Boolean function that determines which elements to keep, and a slice to filter. It returns a new slice containing elements filtered by a boolean function.

Usage

We can use the

Filter function as follows:

var ints = []int{1, 2, 3, 4, 5}
var odds = Filter(func(i int) bool { return i%2 != 0 }, ints)
fmt.Println(odds) // 输出:[1 3 5]
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In this example, we will

Filter Function is used with a Boolean function that determines whether a number is odd. The result is a slice containing all odd numbers.

Conclusion

Generics in Go provide powerful support for writing higher-order functions. By using generic type parameters, we can create reusable and abstractable high-level functions that are independent of specific data types.

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