High Order Functions

In this lesson, we explore high-order functions—functions that either accept another function as an argument or return a function as output. High-order functions enable modular composition, allowing you to build complex operations from small, focused functions. This approach not only minimizes bugs but also enhances code readability and maintainability.

Mastering high-order functions empowers you to write more efficient and maintainable code. For example, consider calculating various properties of a circle. Given a circle’s radius, users might want to compute its area, perimeter, or diameter by choosing the corresponding query (1, 2, or 3).

The image illustrates a circle with a labeled radius and lists three related concepts: area, perimeter, and diameter.

High-order functions allow you to abstract recurring operations, making your code scalable as you incorporate additional properties or shapes.

Basic Circle Property Functions

Begin by defining basic functions to calculate the area, perimeter, and diameter of a circle. Each function receives the circle’s radius as a float64 and returns a float64 value.

package main

import "fmt"

func calcArea(r float64) float64 {
	return 3.14 * r * r
}

func calcPerimeter(r float64) float64 {
	return 2 * 3.14 * r
}

func calcDiameter(r float64) float64 {
	return 2 * r
}

Handling User Input with Conditional Logic

A common approach is to use conditional statements to decide which calculation to perform based on user input. The following code demonstrates this method:

func main() {
	var query int
	var radius float64

	fmt.Print("Enter the radius of the circle: ")
	fmt.Scanf("%f", &radius)
	fmt.Printf("Enter \n 1 - area \n 2 - perimeter \n 3 - diameter: ")
	fmt.Scanf("%d", &query)

	if query == 1 {
		fmt.Println("Result: ", calcArea(radius))
	} else if query == 2 {
		fmt.Println("Result: ", calcPerimeter(radius))
	} else if query == 3 {
		fmt.Println("Result: ", calcDiameter(radius))
	} else {
		fmt.Println("Invalid query")
	}
}

When running this program, the console interaction might look like:

>>> go run main.go
Enter the radius of the circle: 9.1
Enter 
 1 - area 
 2 - perimeter 
 3 - diameter: 1
Result: 260.0234
Thank you!

While this solution works, it can quickly become cumbersome as you add more shape properties. Leveraging high-order functions simplifies the code and enhances scalability.

Simplifying with High-Order Functions

The following sections demonstrate how to refactor the code using high-order functions. We introduce two helper functions: one to display the result and another to map the query number to the appropriate calculation function.

Defining the printResult Function

The printResult function accepts the radius and a calculation function as parameters. It executes the calculation, stores the result, and displays it.

func printResult(radius float64, calcFunction func(r float64) float64) {
	result := calcFunction(radius)
	fmt.Println("Result: ", result)
	fmt.Println("Thank you!")
}

Defining the getFunction Function

The getFunction function maps a user’s query (an integer) to the corresponding calculation function using a predefined map.

func getFunction(query int) func(r float64) float64 {
	queryToFunc := map[int]func(r float64) float64{
		1: calcArea,
		2: calcPerimeter,
		3: calcDiameter,
	}
	return queryToFunc[query]
}

Refactored Main Function Using High-Order Functions

By integrating these high-order functions, the main function becomes succinct. It reads user input, selects the appropriate calculation function via getFunction, and passes it to printResult.

func main() {
	var query int
	var radius float64

	fmt.Print("Enter the radius of the circle: ")
	fmt.Scanf("%f", &radius)
	fmt.Printf("Enter \n 1 - area \n 2 - perimeter \n 3 - diameter: ")
	fmt.Scanf("%d", &query)

	printResult(radius, getFunction(query))
}

Upon running the refactored program, you may observe the following console interaction:

>>> go run main.go
Enter the radius of the circle: 7
Enter 
 1 - area 
 2 - perimeter 
 3 - diameter: 3
Result: 14
Thank you!

High-order functions reduce code redundancy while clarifying the logical separation between input handling and processing logic—making it easier to extend and maintain your application.

By adopting high-order functions, you enhance code clarity, modularity, and scalability. Try integrating these concepts into your projects to unlock more robust and maintainable code designs.

Getting Started

Data Types and Variables

Operators and Control Flow

Arrays, Slices and Maps

Using Functions

Pointers

Struct, Methods and Interfaces

Conclusion

High Order Functions

Basic Circle Property Functions

Handling User Input with Conditional Logic

Simplifying with High-Order Functions

Defining the printResult Function

Defining the getFunction Function

Refactored Main Function Using High-Order Functions

Watch Video

Practice Lab

​Basic Circle Property Functions

​Handling User Input with Conditional Logic

​Simplifying with High-Order Functions

​Defining the printResult Function

​Defining the getFunction Function

​Refactored Main Function Using High-Order Functions

Watch Video

Practice Lab

Basic Circle Property Functions

Handling User Input with Conditional Logic

Simplifying with High-Order Functions

Defining the printResult Function

Defining the getFunction Function

Refactored Main Function Using High-Order Functions