input: Write a python function to compare two vectors and calculate a similarity score by iterating through the vectors and summing the ratio of the minimum to the maximum value at each index.
  assert compareVectors([4, 6, 8, 10], [6, 8, 9, 11]) == 0.875
  assert compareVectors([1, 2, 3], [3, 2, 1]) == 0.8333333333333333
  assert compareVectors([5, 10, 15], [5, 10, 15]) == 1.0
output: def compareVectors(vec1, vec2):
      total = 0
      for v1, v2 in zip(vec1, vec2):
          total += min(v1, v2) / max(v1, v2)
      return total / len(vec1)