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level_avg_test.go
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level_avg_test.go
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/*
Problem:
- Given a binary tree, populate an array to represent the averages of all of
its levels.
Example:
- Input:
1
2 3
4 5
Output: []float64{1, 2.5, 4.5}
Approach:
- Similar to level order traversal problem, except we keep track of the sum
at each level and return the average in the end.
Cost:
- O(n) time, O(n) space.
*/
package gtci
import (
"testing"
"github.com/hoanhan101/algo/common"
)
func TestLevelAvg(t *testing.T) {
t1 := &common.TreeNode{}
t2 := &common.TreeNode{Left: nil, Value: 1, Right: nil}
t3 := &common.TreeNode{Left: nil, Value: 1, Right: nil}
t3.Left = &common.TreeNode{Left: nil, Value: 2, Right: nil}
t3.Left.Right = &common.TreeNode{Left: nil, Value: 3, Right: nil}
t4 := &common.TreeNode{Left: nil, Value: 1, Right: nil}
t4.Left = &common.TreeNode{Left: nil, Value: 2, Right: nil}
t4.Right = &common.TreeNode{Left: nil, Value: 3, Right: nil}
t5 := &common.TreeNode{Left: nil, Value: 1, Right: nil}
t5.Left = &common.TreeNode{Left: nil, Value: 2, Right: nil}
t5.Right = &common.TreeNode{Left: nil, Value: 3, Right: nil}
t5.Left.Left = &common.TreeNode{Left: nil, Value: 4, Right: nil}
t5.Right.Right = &common.TreeNode{Left: nil, Value: 5, Right: nil}
tests := []struct {
in *common.TreeNode
expected []float64
}{
{t1, []float64{0}},
{t2, []float64{1}},
{t3, []float64{1, 2, 3}},
{t4, []float64{1, 2.5}},
{t5, []float64{1, 2.5, 4.5}},
}
for _, tt := range tests {
common.Equal(
t,
tt.expected,
levelAvg(tt.in),
)
}
}
func levelAvg(root *common.TreeNode) []float64 {
out := []float64{}
if root == nil {
return out
}
// initialize a linked list with the root.
queue := common.NewQueue()
queue.Push(root)
for queue.Size() > 0 {
levelSize := queue.Size()
levelSum := 0
for i := 0; i < levelSize; i++ {
// pop the queue and cache that value to its current level.
current := queue.Pop().(*common.TreeNode)
levelSum += current.Value
// push its left child.
if current.Left != nil {
queue.Push(current.Left)
}
// push its right child.
if current.Right != nil {
queue.Push(current.Right)
}
}
out = append(out, float64(levelSum)/float64(levelSize))
}
return out
}