hu_moments_list = list()
  for cnt in cont:
      matrix_list_cnt = list()  # []
      cv2.drawContours(warp, cnt, -1, (150, 150, 200), 4)
      if len(sqrContainsNum(cnt, retNumbers(contours))) != 0:
          cv2.drawContours(warp, sqrContainsNum(cnt, retNumbers(contours)), -1, (150, 150, 200), 4)
          # print(sqrContainsNum(cnt, retNumbers(contours)))
          for cnt in sqrContainsNum(cnt, retNumbers(contours)):
              M = cv2.HuMoments(cv2.moments(cnt))
              matrix_list_cnt.append(M)
              # print(M)
          #     for moment in M:
          #         matrix[cnt][moment] = M[moment]
          #
          #     print(matrix)
      else:
        matrix_list_cnt.append(None)
      hu_moments_list.append(matrix_list_cnt)
      cv2.imshow('kk', warp)
  from pprint import pprint
  pprint(hu_moments_list)

  import pickle

  with open("numero1.file", "wb") as file:  # file = open("numero1.file", "wb")
    pickle.dump(hu_moments_list, file)  # hu_moments_list -> momentos del 1

  # file.close()

  with open("numero1.file", "rb") as file:  # file = open("numero1.file", "rb")
    number1_moments = pickle.load(file)

  print(number1_moments)
  # file.close()

  hu_moments_1 = [momentos_obtenidos]
  len(numbers[1]) == 1
  len(numbers[4]) == 2
  len(numbers[4][0]) == 7
  len(numbers[4][1]) == 7

  numbers = {1: hu_moments_1,  # hu_moments_1 = list()
            2: hu_moments_2,
            3: hu_moments_3,
             ...,
            9: hu_moments_9}

  with open("numbers", "wb") as moments_file:
    pickle.dump(numbers, moments_file)

  with open("numbers", "rb") as moments_file:
    moments_dict = pickle.load(moments_file)

##############################################################################################################
  numbers = {}
  for i in range(1, 10):
    with open("ejemplo" + i + ".jpg", "rb") as file:
      nmoments = get_number_moments(file)
      numbers[i] = nmoments

  with open("numbers", "wb") as moments_file:
    pickle.dump(numbers, moments_file)