Problem:
MathJax.Hub.Config({ tex2jax: { inlineMath: [["$","$"], ["\\(","\\)"]], processEscapes: true }});

Maximum Heap

A binary heap which satisfies max-heap property is called max-heap. In a max-heap, for every node $i$ other than the root, $A[i] \leq A[parent(i)]$, that is, the value of a node is at most the value of its parent. The largest element in a max-heap is stored at the root, and the subtree rooted at a node contains values no larger than that contained at the node itself.

Here is an example of a max-heap.

Write a program which reads an array and constructs a max-heap from the array based on the following pseudo code.

$maxHeapify(A, i)$ move the value of $A[i]$ down to leaves to make a sub-tree of node $i$ a max-heap. Here, $H$ is the size of the heap.

1 maxHeapify(A, i)
2 l = left(i)
3 r = right(i)
4 // select the node which has the maximum value
5 if l ≤ H and A[l] > A[i]
6 largest = l
7 else
8 largest = i
9 if r ≤ H and A[r] > A[largest]
10 largest = r
11
12 if largest ≠ i　// value of children is larger than that of i
13 swap A[i] and A[largest]
14 maxHeapify(A, largest) // call recursively

The following procedure buildMaxHeap(A) makes $A$ a max-heap by performing maxHeapify in a bottom-up manner.

1 buildMaxHeap(A)
2 for i = H/2 downto 1
3 maxHeapify(A, i)

Input

In the first line, an integer $H$ is given. In the second line, $H$ integers which represent elements in the binary heap are given in order of node id (from $1$ to $H$).

Output

Print values of nodes in the max-heap in order of their id (from $1$ to $H$). Print a single space character before each value.

Constraint

$1 \leq H \leq 500,000$

$-2,000,000,000 \leq$ value of a node $\leq 2,000,000,000$

Sample Input 1

10
4 1 3 2 16 9 10 14 8 7

Sample Output 1

16 14 10 8 7 9 3 2 4 1

Reference

Introduction to Algorithms, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. The MIT Press.

Solution in Ruby (judge verdict: WA: Presentation Error)

def left_p(i)
  2 * i
end
def right_p(i)
  2 * i + 1
end
def parent_p(i)
  i / 2
end

def max_heapfy(arr, i)
  l = left_p(i)
  r = right_p(i)

  if l <= arr.size && arr[l - 1] > arr[i - 1]
    largest = l
  else
    largest = i
  end

  if r <= arr.size && arr[r - 1] > arr[largest - 1]
    largest = r
  end

  if largest != i
    tmp = arr[largest - 1]
    arr[largest - 1] = arr[i - 1]
    arr[i - 1] = tmp
    max_heapfy(arr, largest)
  end
end

def build_max_heap(arr)
  i = arr.size / 2 + 1
  while i > 0
    max_heapfy(arr, i)
    i = i - 1
  end
end


n = STDIN.gets.to_i
arr = STDIN.gets.split(' ').map { |x| x.to_i }

build_max_heap(arr)
puts arr.join(' ')