description: It is the easy version of the problem. The difference is that in this version, there are no nodes with already chosen colors.
  
  Theofanis is starving, and he wants to eat his favorite food, sheftalia. However, he should first finish his homework. Can you help him with this problem?
  
  You have a perfect binary tree of 2^k - 1 nodes — a binary tree where all vertices i from 1 to 2^{k - 1} - 1 have exactly two children: vertices 2i and 2i + 1. Vertices from 2^{k - 1} to 2^k - 1 don't have any children. You want to color its vertices with the 6 Rubik's cube colors (White, Green, Red, Blue, Orange and Yellow).
  
  Let's call a coloring good when all edges connect nodes with colors that are neighboring sides in the Rubik's cube.
  
  <image>| <image>  
  ---|---  
  A picture of Rubik's cube and its 2D map.
  
  More formally: 
  
    * a white node can not be neighboring with white and yellow nodes; 
    * a yellow node can not be neighboring with white and yellow nodes; 
    * a green node can not be neighboring with green and blue nodes; 
    * a blue node can not be neighboring with green and blue nodes; 
    * a red node can not be neighboring with red and orange nodes; 
    * an orange node can not be neighboring with red and orange nodes; 
  
  
  
  You want to calculate the number of the good colorings of the binary tree. Two colorings are considered different if at least one node is colored with a different color.
  
  The answer may be too large, so output the answer modulo 10^9+7.
  
  Input
  
  The first and only line contains the integers k (1 ≤ k ≤ 60) — the number of levels in the perfect binary tree you need to color.
  
  Output
  
  Print one integer — the number of the different colorings modulo 10^9+7.
  
  Examples
  
  Input
  
  
  3
  
  
  Output
  
  
  24576
  
  
  Input
  
  
  14
  
  
  Output
  
  
  934234
  
  Note
  
  In the picture below, you can see one of the correct colorings of the first example.
  
  <image>
solution: import bisect
  import heapq
  import math
  import collections
  import sys
  import copy
  from functools import reduce
  import decimal
  from io import BytesIO, IOBase
  import os
  import itertools
  import functools
  from types import GeneratorType
  
  sys.setrecursionlimit(10 ** 9)
  decimal.getcontext().rounding = decimal.ROUND_HALF_UP
  
  graphDict = collections.defaultdict
  
  queue = collections.deque
  
  
  ################## pypy deep recursion handling ##############
  # Author = @pajenegod
  def bootstrap(f, stack=[]):
      def wrappedfunc(*args, **kwargs):
          to = f(*args, **kwargs)
          if stack:
              return to
          else:
              while True:
                  if type(to) is GeneratorType:
                      stack.append(to)
                      to = next(to)
                  else:
                      stack.pop()
                      if not stack:
                          return to
                      to = stack[-1].send(to)
  
      return wrappedfunc
  
  
  ################## Graphs ###################
  class Graphs:
      def __init__(self):
          self.graph = graphDict(set)
  
      def add_edge(self, u, v):
          self.graph[u].add(v)
          self.graph[v].add(u)
  
      def dfs_utility(self, nodes, visited_nodes):
          visited_nodes.add(nodes)
          for neighbour in self.graph[nodes]:
              if neighbour not in visited_nodes:
                  self.dfs_utility(neighbour, visited_nodes)
  
      def dfs(self, node):
          Visited = set()
          self.dfs_utility(i, Visited)
  
      def bfs(self, node, f_node):
          count = float("inf")
          visited = set()
          level = 0
          if node not in visited:
              queue.append([node, level])
              visited.add(node)
          flag = 0
          while queue:
              parent = queue.popleft()
              if parent[0] == f_node:
                  flag = 1
                  count = min(count, parent[1])
              level = parent[1] + 1
              for item in self.graph[parent[0]]:
                  if item not in visited:
                      queue.append([item, level])
                      visited.add(item)
          return count if flag else -1
          return False
  
      def solve(self, in_degree):
          c = 0
          tracker = queue()
          ans = graphDict(lambda: 1)
          for ii in range(n):
              if in_degree[ii + 1] == 0:
                  tracker.append(ii + 1)
          while tracker:
              node = tracker.popleft()
              c += 1
              for neighbour in self.graph[node]:
                  in_degree[neighbour] -= 1
                  if neighbour < node:
                      ans[neighbour] = max(ans[neighbour], ans[node] + 1)
                  else:
                      ans[neighbour] = max(ans[neighbour], ans[node])
                  if in_degree[neighbour] == 0:
                      tracker.append(neighbour)
          if c != n:
              return False
          else:
              return max(ans.values()) if len(ans.values()) > 0 else 1
          return "Send Help!!!!"
  
  
  ################### Tree Implementaion ##############
  class Tree:
      def __init__(self, data):
          self.data = data
          self.left = None
          self.right = None
  
  
  def inorder(node, lis):
      if node:
          inorder(node.left, lis)
          lis.append(node.data)
          inorder(node.right, lis)
      return lis
  
  
  def leaf_node_sum(root):
      if root is None:
          return 0
      if root.left is None and root.right is None:
          return root.data
      return leaf_node_sum(root.left) + leaf_node_sum(root.right)
  
  
  def hight(root):
      if root is None:
          return -1
      if root.left is None and root.right is None:
          return 0
      return max(hight(root.left), hight(root.right)) + 1
  
  
  ################## Union Find #######################
  class UF:
      """An implementation of union find data structure.
      It uses weighted quick union by rank with path compression.
      """
  
      def __init__(self, N):
          """Initialize an empty union find object with N items.
  
          Args:
              N: Number of items in the union find object.
          """
  
          self._id = list(range(N))
          self._count = N
          self._rank = [0] * N
  
      def find(self, p):
          """Find the set identifier for the item p."""
  
          id = self._id
          while p != id[p]:
              p = id[p]  # Path compression using halving.
          return p
  
      def count(self):
          """Return the number of items."""
  
          return self._count
  
      def connected(self, p, q):
          """Check if the items p and q are on the same set or not."""
  
          return self.find(p) == self.find(q)
  
      def union(self, p, q):
          """Combine sets containing p and q into a single set."""
  
          id = self._id
          rank = self._rank
  
          i = self.find(p)
          j = self.find(q)
          if i == j:
              return
  
          self._count -= 1
          if rank[i] < rank[j]:
              id[i] = j
          elif rank[i] > rank[j]:
              id[j] = i
          else:
              id[j] = i
              rank[i] += 1
  
      def add_roads(self):
          return set(self._id)
  
      def __str__(self):
          """String representation of the union find object."""
          return " ".join([str(x) for x in self._id])
  
      def __repr__(self):
          """Representation of the union find object."""
          return "UF(" + str(self) + ")"
  
  
  #################################################
  
  def rounding(n):
      return int(decimal.Decimal(f'{n}').to_integral_value())
  
  
  def factors(n):
      return set(reduce(list.__add__,
                        ([i, n // i] for i in range(1, int(n ** 0.5) + 1) if n % i == 0), []))
  
  
  def p_sum(array):
      return list(itertools.accumulate(array))
  
  
  def diophantine(a: int, b: int, c: int):
      d, x, y = extended_gcd(a, b)
      r = c // d
      return r * x, r * y
  
  
  @bootstrap
  def extended_gcd(a: int, b: int):
      if b == 0:
          d, x, y = a, 1, 0
      else:
          (d, p, q) = yield extended_gcd(b, a % b)
          x = q
          y = p - q * (a // b)
  
      yield d, x, y
  
  
  ######################################################################################
  
  '''
  Knowledge and awareness are vague, and perhaps better called illusions.
  Everyone lives within their own subjective interpretation.
                                                              ~Uchiha Itachi
  '''
  
  ################################ <fast I/O> ###########################################
  BUFSIZE = 8192
  
  
  class FastIO(IOBase):
      newlines = 0
  
      def __init__(self, file):
          self._fd = file.fileno()
          self.buffer = BytesIO()
          self.writable = "x" in file.mode or "r" not in file.mode
          self.write = self.buffer.write if self.writable else None
  
      def read(self):
          while True:
              b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE))
              if not b:
                  break
              ptr = self.buffer.tell()
              self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr)
          self.newlines = 0
          return self.buffer.read()
  
      def readline(self, **kwargs):
          while self.newlines == 0:
              b = os.read(self._fd, max(os.fstat(self._fd).st_size, BUFSIZE))
              self.newlines = b.count(b"\n") + (not b)
              ptr = self.buffer.tell()
              self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr)
          self.newlines -= 1
          return self.buffer.readline()
  
      def flush(self):
          if self.writable:
              os.write(self._fd, self.buffer.getvalue())
              self.buffer.truncate(0), self.buffer.seek(0)
  
  
  class IOWrapper(IOBase):
      def __init__(self, file):
          self.buffer = FastIO(file)
          self.flush = self.buffer.flush
          self.writable = self.buffer.writable
          self.write = lambda s: self.buffer.write(s.encode("ascii"))
          self.read = lambda: self.buffer.read().decode("ascii")
          self.readline = lambda: self.buffer.readline().decode("ascii")
  
  
  sys.stdin, sys.stdout = IOWrapper(sys.stdin), IOWrapper(sys.stdout)
  
  
  #############################################<I/O Region >##############################################
  
  
  def inp():
      return sys.stdin.readline().strip()
  
  
  def map_inp(v_type):
      return map(v_type, inp().split())
  
  
  def list_inp(v_type):
      return list(map_inp(v_type))
  
  
  ######################################## Solution ####################################
  mod = 10 ** 9 + 7
  n = int(inp())
  temp = (pow(2, n,mod-1)) % mod
  ans = pow(4, temp-2, mod) * 6
  print(ans % mod)
  