description: Consider a sequence of distinct integers a_1, …, a_n, each representing one node of a graph. There is an edge between two nodes if the two values are not coprime, i. e. they have a common divisor greater than 1.
  
  There are q queries, in each query, you want to get from one given node a_s to another a_t. In order to achieve that, you can choose an existing value a_i and create new value a_{n+1} = a_i ⋅ (1 + a_i), with edges to all values that are not coprime with a_{n+1}. Also, n gets increased by 1. You can repeat that operation multiple times, possibly making the sequence much longer and getting huge or repeated values. What's the minimum possible number of newly created nodes so that a_t is reachable from a_s?
  
  Queries are independent. In each query, you start with the initial sequence a given in the input.
  
  Input
  
  The first line contains two integers n and q (2 ≤ n ≤ 150 000, 1 ≤ q ≤ 300 000) — the size of the sequence and the number of queries.
  
  The second line contains n distinct integers a_1, a_2, …, a_n (2 ≤ a_i ≤ 10^6, a_i ≠ a_j if i ≠ j).
  
  The j-th of the following q lines contains two distinct integers s_j and t_j (1 ≤ s_j, t_j ≤ n, s_j ≠ t_j) — indices of nodes for j-th query.
  
  Output
  
  Print q lines. The j-th line should contain one integer: the minimum number of new nodes you create in order to move from a_{s_j} to a_{t_j}.
  
  Examples
  
  Input
  
  
  3 3
  2 10 3
  1 2
  1 3
  2 3
  
  
  Output
  
  
  0
  1
  1
  
  
  Input
  
  
  5 12
  3 8 7 6 25
  1 2
  1 3
  1 4
  1 5
  2 1
  2 3
  2 4
  2 5
  3 1
  3 2
  3 4
  3 5
  
  
  Output
  
  
  0
  1
  0
  1
  0
  1
  0
  1
  1
  1
  1
  2
  
  Note
  
  In the first example, you can first create new value 2 ⋅ 3 = 6 or 10 ⋅ 11 = 110 or 3 ⋅ 4 = 12. None of that is needed in the first query because you can already get from a_1 = 2 to a_2 = 10.
  
  In the second query, it's optimal to first create 6 or 12. For example, creating 6 makes it possible to get from a_1 = 2 to a_3 = 3 with a path (2, 6, 3).
  
  <image>
  
  In the last query of the second example, we want to get from a_3 = 7 to a_5 = 25. One way to achieve that is to first create 6 ⋅ 7 = 42 and then create 25 ⋅ 26 = 650. The final graph has seven nodes and it contains a path from a_3 = 7 to a_5 = 25.
solution: # ------------------- fast io --------------------
  import os
  import sys
  from io import BytesIO, IOBase
  
  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):
          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)
  input = lambda: sys.stdin.readline().rstrip("\r\n")
  
  # ------------------- fast io --------------------
  from math import ceil
  
  
  def prod(a, mod=10 ** 9 + 7):
      ans = 1
      for each in a:
          ans = (ans * each) % mod
      return ans
  
  
  def gcd(x, y):
      while y:
          x, y = y, x % y
      return x
  
  
  def lcm(a, b): return a * b // gcd(a, b)
  
  
  def binary(x, length=16):
      y = bin(x)[2:]
      return y if len(y) >= length else "0" * (length - len(y)) + y
  
  
  def connected_components(n, graph):
      components, visited = [], [False] * n
      
      def dfs(start):
          component, stack = [], [start]
          
          while stack:
              start = stack[-1]
              
              if visited[start]:
                  stack.pop()
                  continue
              else:
                  visited[start] = True
                  component.append(start)
              
              for i in graph[start]:
                  if not visited[i]:
                      stack.append(i)
          
          return component
      
      for i in range(n):
          if not visited[i]:
              components.append(dfs(i))
      
      return components
  
  def Sieve(limit=10 ** 6):
      """Uses Sieve algorithm and stores a factor of each number!
          If isPrime[i] = 1, the number 'i' is prime."""
      isPrime = [1] * (limit + 1)
      isPrime[0] = isPrime[1] = 0
      for i in range(2, limit + 1):
          if isPrime[i] != 1: continue
          for j in range(i * i, limit + 1, i):
              isPrime[j] = i
      return isPrime
  
  isPrime = Sieve(10**6 + 2)
  
  
  def prime_factors(n):
      """Returns prime factorisation of n!"""
      if n < 2:
          return []
      result = []
      while isPrime[n] > 1:
          y = isPrime[n]
          result += [y]
          while n % y == 0:
              n //= y
      if n != 1:
          result += [n]
      return result
  
  for _ in range(int(input()) if not True else 1):
      #n = int(input())
      n, q = map(int, input().split())
      # a, b = map(int, input().split())
      # c, d = map(int, input().split())
      a = list(map(int, input().split()))
      # b = list(map(int, input().split()))
      # s = input()
      graph = [[] for i in range(n)]
      px = {}
      for i in range(n):
          for p in prime_factors(a[i]):
              if p not in px:
                  px[p] = i
              else:
                  graph[i] += [px[p]]
                  graph[px[p]] += [i]
      
      cp = connected_components(n, graph)
      comp_num = [0] * n
      for i in range(1, len(cp)):
          for j in cp[i]:
              comp_num[j] = i
      
      ok = []
      st2 = set()
      for i in range(len(cp)):
          st = set()
          for j in cp[i]:
              y = set()
              for prime in prime_factors(a[j] + 1):
                  if prime in px:
                      st.add(comp_num[px[prime]])
                      y.add(comp_num[px[prime]])
              for y1 in y:
                  for y2 in y:
                      if y1 != y2:
                          st2.add((y1, y2))
          ok += [st]
      
      for __ in range(q):
          x, y = map(int, input().split())
          x -= 1
          y -= 1
          if comp_num[x] == comp_num[y]:
              print(0)
              continue
          p, q = comp_num[x], comp_num[y]
          if p in ok[q] or q in ok[p] or (p, q) in st2 or (q, p) in st2:
              print(1)
              continue
          print(2)