Using Decorators in Golang to profile performance

Decorators.go

package main


import (
	"fmt"
	"math/rand"
	"sort"
	"time"
)

func main() {
	stable := timedSortFunc(sort.Stable)
	unStable := timedSortFunc(sort.Sort)

	randomCatList1 := randomCatScoreSlice(10000, 5000)
	randomCatList2 := randomCatScoreSlice(10000, 5000)

	fmt.Printf("Unstable Sorting Function:\n")
	stable(randomCatList1)
	fmt.Printf("Stable Sorting Function:\n")
	unStable(randomCatList2)
}

type SortFunc func(sort.Interface)

func timedSortFunc(f SortFunc) SortFunc {
	return func(data sort.Interface) {

		defer func(t time.Time) {
			fmt.Printf("--- Time Elapsed: %v ---\n", time.Since(t))
		}(time.Now())

		f(data)
	}
}

func randomCatScoreSlice(size int, upperLimit int) CatScoreList {

	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	catScores := make(CatScoreList, size)

	for i, _ := range catScores {
		cat := catScores[i]
		cat.name = "Fluffy"
		cat.likeCount = r.Intn(upperLimit)
	}
	return catScores
}

//Definition of CatScore struct

type CatScore struct {
	likeCount int
	name      string
}

type CatScoreList []CatScore

func (s CatScoreList) Len() int {
	return len(s)
}

func (s CatScoreList) Swap(i, j int) {
	s[i], s[j] = s[j], s[i]
}

func (s CatScoreList) Less(i, j int) bool {
	return s[i].likeCount < s[j].likeCount
}