Python 如果pivot不是';中期选举

Python 如果pivot不是';中期选举,python,list,function,indexing,quickselect,Python,List,Function,Indexing,Quickselect,好的,我开发了一个通用的quickselect函数,它用于查找列表的中间值 k = len(aList)//2 and the list is aList = [1,2,3,4,5] 那么,如果pivot每次都在列表的第一项启动,程序的行为会有什么不同呢。我一定要去中心吗?另外,我应该从哪里开始time.clock()以查找函数的运行时间。这是密码 def quickSelect(aList, k) if len(aList)!=0: pivot=aList[(len(aList

好的,我开发了一个通用的quickselect函数,它用于查找列表的中间值

k = len(aList)//2 and the list is aList = [1,2,3,4,5]
那么,如果pivot每次都在列表的第一项启动,程序的行为会有什么不同呢。我一定要去中心吗?另外,我应该从哪里开始time.clock()以查找函数的运行时间。这是密码

def quickSelect(aList, k)

   if len(aList)!=0:
   pivot=aList[(len(aList)//2)]
   smallerList = []
   for i in aList:
       if i<pivot:
            smallerList.append(i)
   largerList=[]
   for i in aList:
       if i>pivot:
            largerList.append(i)
   m=len(smallerList)
   count=len(aList)-len(smallerList)-len(largerList)
   if k >= m and k<m + count:
      return pivot
   elif m > k:
      return quickSelect(smallerList,k)
   else:
      return quickSelect(largerList, k - m - count)
def quickSelect(列表,k)
如果我是莱恩=0:
pivot=aList[(len(aList)//2)]
smallerList=[]
对于我来说:
如果ipivot:
追加(一)
m=len(小列表)
计数=列(列表)-列(小列表)-列(大列表)
如果k>=m和k:
返回quickSelect(小列表,k)
其他:
返回quickSelect(大列表,k-m-count)

我认为在开始时放置轴没有任何问题。但这只是初始化枢轴。枢轴的整个思想通常是找到中间元素

请尝试以下方法计算时间:

import time

start_time = 0
aList = [1,2,3,4,5]
k = len(aList)//2  

def quickSelect(aList, k):
    start_time = time.time()
#     print "%10.6f"%start_time
#     pivot = aList[0]
    if len(aList) != 0:
        pivot = aList[(len(aList) // 2)]
        smallerList = []
        for i in aList:
            if i < pivot:
                smallerList.append(i)
                largerList = []
        for i in aList:
            if i > pivot:
                largerList.append(i)
        m = len(smallerList)
        count = len(aList) - len(smallerList) - len(largerList)
        if k >= m and k < m + count:
            print "Pivot", pivot
#             print "%10.6f"%time.time()
            print "time: ", time.time() -start_time
            return pivot
        elif m > k:
            return quickSelect(smallerList, k)
        else:
            return quickSelect(largerList, k - m - count)


quickSelect(aList, k)
Pivot 3
time:  0.0