sorts case test Algorithm

The sorting case test algorithm is a technique used to evaluate the efficiency and effectiveness of sorting algorithms by examining their behavior under various test cases. It involves the generation of a series of distinct input scenarios that can help expose the strengths and weaknesses of a particular sorting algorithm, ultimately allowing for informed decisions when selecting the most appropriate sorting method for a specific task. These test cases may include inputs with varying levels of complexity, such as ordered, reversed, random, or partially sorted arrays, as well as arrays with duplicated elements, which can significantly impact the performance of certain sorting algorithms. By analyzing the performance of a sorting algorithm under these diverse test cases, developers can gain insights into its best-case, average-case, and worst-case scenarios, which in turn helps them to optimize the algorithm for better overall efficiency. Additionally, the sorting case test algorithm can be used as a benchmarking tool to compare the relative performance of different sorting techniques, enabling developers to choose the most suitable algorithm for their specific needs. Ultimately, this systematic approach to evaluating sorting algorithms allows for the development and implementation of more effective and efficient sorting solutions in a wide range of applications.
//Package sorts a package for demonstrating sorting algorithms in Go
package sorts

import (
	"crypto/rand"
	"math/big"
	"sort"
)

type sortTest struct {
	input    []int
	expected []int
	name     string
}

var arr []int = makeRandArray(500_000)


var sortTests = []sortTest{
	//Sorted slice
	{[]int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
		[]int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "Sorted"},
	//Reversed slice
	{[]int{10, 9, 8, 7, 6, 5, 4, 3, 2, 1},
		[]int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, "Reversed"},
	//Empty slice
	{[]int{}, []int{}, "Empty"},
	//Single-entry slice
	{[]int{1}, []int{1}, "Singleton"},
  
	//500k values sort
	{arr, getSortedVersion(arr), "Large Random"},
}

func makeRandArray(size int) []int {
	vals := make([]int, size)
	for i := 0; i < size; i++ {
		temp, _ := rand.Int(rand.Reader, big.NewInt(int64(size)))
		vals[i] = int(temp.Int64())
	}
	return vals
}

func getSortedVersion(a []int) []int {
	sort.Slice(a, func(i, j int) bool { return a[i] < a[j] })
	return a
}

LANGUAGE:

DARK MODE: