# -*- coding:utf-8 -*-
# python 实现N个数组的排列组合(笛卡尔积算法)
class Cartesian():
  # 初始化
  def __init__(self, datagroup):
    self.datagroup = datagroup
    # 二维数组从后往前下标值
    self.counterIndex = len(datagroup)-1
    # 每次输出数组数值的下标值数组(初始化为0)
    self.counter = [0 for i in range(0, len(self.datagroup))]
  # 计算数组长度
  def countlength(self):
    i = 0
    length = 1
    while(i < len(self.datagroup)):
      length *= len(self.datagroup[i])
      i += 1
    return length
  # 递归处理输出下标
  def handle(self):
    # 定位输出下标数组开始从最后一位递增
    self.counter[self.counterIndex]+=1
    # 判断定位数组最后一位是否超过长度，超过长度，第一次最后一位已遍历结束
    if self.counter[self.counterIndex] >= len(self.datagroup[self.counterIndex]):
      # 重置末位下标
      self.counter[self.counterIndex] = 0
      # 标记counter中前一位
      self.counterIndex -= 1
      # 当标记位大于等于0，递归调用
      if self.counterIndex >= 0:
        self.handle()
      # 重置标记
      self.counterIndex = len(self.datagroup)-1
  # 排列组合输出
  def assemble(self):
    length = self.countlength()
    i = 0
    while(i < length):
      attrlist = []
      j = 0
      while(j<len(self.datagroup)):
        attrlist.append(self.datagroup[j][self.counter[j]])
        j += 1
      print attrlist
      self.handle()
      i += 1

if __name__ == "__main__":
  # 构造二维数组
  datagroup = [['aa1', ], ['bb1', 'bb2'], ['cc1', 'cc2', 'cc3']]
  # 创建cartesian对象
  cartesian = Cartesian(datagroup)
  cartesian.assemble()