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merge_sort_test.go
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merge_sort_test.go
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/*
Problem:
- Implement merge sort.
Approach:
- Split the input in half, recursively sorts each half, then merge the
sorted halves back together.
Cost:
- O(nlogn) time and O(n) space.
*/
package other
import (
"testing"
"github.com/pcaruana/algo/common"
)
func TestMergeSort(t *testing.T) {
tests := []struct {
in []int
expected []int
}{
{[]int{}, []int{}},
{[]int{1}, []int{1}},
{[]int{1, 2}, []int{1, 2}},
{[]int{2, 1}, []int{1, 2}},
{[]int{2, 1, 3}, []int{1, 2, 3}},
{[]int{1, 1, 1}, []int{1, 1, 1}},
{[]int{2, 1, 2}, []int{1, 2, 2}},
{[]int{1, 2, 4, 3, 6, 5}, []int{1, 2, 3, 4, 5, 6}},
{[]int{6, 2, 4, 3, 1, 5}, []int{1, 2, 3, 4, 5, 6}},
{[]int{6, 5, 4, 3, 2, 1}, []int{1, 2, 3, 4, 5, 6}},
}
for _, tt := range tests {
result := mergeSort(tt.in)
common.Equal(t, tt.expected, result)
}
}
func mergeSort(in []int) []int {
// base case
if len(in) <= 1 {
return in
}
// split the input in half.
middleIndex := len(in) / 2
left := in[:middleIndex]
right := in[middleIndex:]
// sort each half.
leftSorted := mergeSort(left)
rightSorted := mergeSort(right)
// merge the sorted halves.
return mergeSortedArray(leftSorted, rightSorted)
}
func mergeSortedArray(a1, a2 []int) []int {
out := []int{}
// keep two "pointer" at index 0 and move up accordingly as one get
// merged in.
i, j := 0, 0
for i < len(a1) && j < len(a2) {
if a1[i] < a2[j] {
out = append(out, a1[i])
i++
} else {
out = append(out, a2[j])
j++
}
}
// if we get here, one array must have bigger size than the other. could
// figure out which one is it then copy the rest of its to our final one.
if i < len(a1) {
out = append(out, a1[i:]...)
}
if j < len(a2) {
out = append(out, a2[j:]...)
}
return out
}