这篇文章主要讲解了Python二分查找算法的实现方法，内容清晰明了，对此有兴趣的小伙伴可以学习一下，相信大家阅读完之后会有帮助。
先来看个用Python实现的二分查找算法实例
import sys def search3(a,m): low = 0 high = len(a) - 1 while(low <= high): mid = (low + high)/2 midval = a[mid] if midval < m: low = mid + 1 elif midval > m: high = mid - 1 else: print mid return mid print -1 return -1 if __name__ == "__main__": a = [int(i) for i in list(sys.argv[1])] m = int(sys.argv[2]) search3(a,m)om/weixin.html#_labeldown
运行:
administrator@ubuntu:~/Python$ python test_search3.py 123456789 4
注:
1.'__'：由于python的类成员都是公有、公开的被存取public，缺少像正统面向对象语言的私有private属性。
于是就用__来将就一下，模拟私有属性。这些__属性往往是内部使用，通常情况下不用改写。也不用读取。
加上2个下划线的目的，一是不和普通公有属性重名冲突，二是不让对象的使用者(非开发者)随意使用。
2.__name__ == "__main__"表示程序脚本是直接被执行的.
如果不等于表示脚本是被其他程序用import引入的.则其__name__属性被设为模块名
Python采用二分查找找出数字的下标
要考虑有重复数字的情况
class Solution(object):
def searchRange(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
def binary_search(start,end,value):
while end>=start:
mid = (start+end)//2
print(mid)
if nums[mid]>target:
end = mid-1
elif nums[mid]<target: start="mid+1" else:="" if="" value="=-1:" mid-1="">=start and nums[mid+value] == target:
end = mid+value
else:
return mid
else:
if mid+1<=end and nums[mid+value] == target:
start = mid+value
return -1
a=binary_search(0,len(nums)-1,-1)
b=binary_search(0,len(nums)-1,1)
return [a,b]
a = Solution()
l = [2,2]
print(a.searchRange(l,2))
</target:>二分算法的定义不在多说了
import sys source = [1,2,3,4,5,6,7,8,9,10] #must be in order des = int(sys.argv[1]) low = 0 high = len(source) - 1 targetIndex = -1 print "des=",des while low <= high: middle = (low + high)/2 if des == source[middle]: targetIndex = middle break elif des < source[middle]: high = middle -1 print "middle element[index=",middle,",value=",source[middle],"] is bigger than des, continue search from[",low,"to",high,"]" else: low = middle + 1 print "middle element[index=",middle,",value=",source[middle],"] is smaller than des, continue search from[",low,"to",high,"]" print "search complete, target element's index in source list is ",targetIndex
最后在分享一个
'fileName--BinarySearch.py'
src = []
def BinarySearch(low, high, target, *src):
'二分查找'
while low <= high:
mid = (low + high) // 2
midVal = src[mid]
if target < midVal:
high = mid - 1
elif target > midVal:
low = mid + 1
else:
return mid
BinarySearch(low, high, target, *src)
print('Please input 10 number:')
for number in range(10):
src.append(int(input('Num %d:' % number)))
sortList = tuple(src)
key = int(input('Please input key:'))
location = BinarySearch(0, len(src) - 1, key, *sortList)
if location != None:
print('Find target at %d' % (location + 1))
else:
print('No target!')实例补充
#!/usr/bin/python env # -*- coding:utf-8 -*- def half_search(array,target): low = 0 high = len(array) - 1 while low < high: mid = (low + high)/2 if array[mid] > target: high = mid - 1 elif array[mid] < target: low = mid + 1 elif array[mid] == target: print 'I find it! It is in the position of:',mid return mid else: print "please contact the coder!" return -1 if __name__ == "__main__": array = [1, 2, 2, 4, 4, 5]
运行结果如下：
I find it! It is in the position of: 4 4 -1 I find it! It is in the position of: 0 0 -1
看完上述内容，是不是对Python二分查找算法的实现方法有进一步的了解，如果还想学习更多内容，欢迎关注亿速云行业资讯频道。
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
