Testing Subset Sum Algorithm Implementations in hello-algo
This test suite implements and verifies various subset sum algorithms in Go, testing both naive and optimized approaches for finding subsets that sum to a target value. The tests cover different implementations including handling of duplicate numbers and performance optimizations.
Test Coverage Overview
Implementation Analysis
Technical Details
Best Practices Demonstrated
krahets/hello-algo
codes/go/chapter_backtracking/subset_sum_test.go
// File: subset_sum_test.go
// Created Time: 2023-06-24
// Author: Reanon ([email protected])
package chapter_backtracking
import (
"fmt"
"strconv"
"testing"
. "github.com/krahets/hello-algo/pkg"
)
func TestSubsetSumINaive(t *testing.T) {
nums := []int{3, 4, 5}
target := 9
res := subsetSumINaive(nums, target)
fmt.Printf("target = " + strconv.Itoa(target) + ", 输入数组 nums = ")
PrintSlice(nums)
fmt.Println("所有和等于 " + strconv.Itoa(target) + " 的子集 res = ")
for i := range res {
PrintSlice(res[i])
}
fmt.Println("请注意,该方法输出的结果包含重复集合")
}
func TestSubsetSumI(t *testing.T) {
nums := []int{3, 4, 5}
target := 9
res := subsetSumI(nums, target)
fmt.Printf("target = " + strconv.Itoa(target) + ", 输入数组 nums = ")
PrintSlice(nums)
fmt.Println("所有和等于 " + strconv.Itoa(target) + " 的子集 res = ")
for i := range res {
PrintSlice(res[i])
}
}
func TestSubsetSumII(t *testing.T) {
nums := []int{4, 4, 5}
target := 9
res := subsetSumII(nums, target)
fmt.Printf("target = " + strconv.Itoa(target) + ", 输入数组 nums = ")
PrintSlice(nums)
fmt.Println("所有和等于 " + strconv.Itoa(target) + " 的子集 res = ")
for i := range res {
PrintSlice(res[i])
}
}