我正在尝试在python中的列表上执行二进制搜索。 List是使用命令行参数创建的。用户输入他想要在数组中查找的数字,并返回元素的索引。由于某种原因,程序只输出1和无。代码如下。 非常感谢任何帮助。
import sys
def search(list, target):
min = 0
max = len(list)-1
avg = (min+max)/2
while (min < max):
if (list[avg] == target):
return avg
elif (list[avg] < target):
return search(list[avg+1:], target)
else:
return search(list[:avg-1], target)
print "The location of the number in the array is", avg
# The command line argument will create a list of strings
# This list cannot be used for numeric comparisions
# This list has to be converted into a list of ints
def main():
number = input("Please enter a number you want to search in the array !")
index = int(number)
list = []
for x in sys.argv[1:]:
list.append(int(x))
print "The list to search from", list
print(search(list, index))
if __name__ == '__main__':
main()
CL :
Anuvrats-MacBook-Air:Python anuvrattiku$ python binary_search.py 1 3 4 6 8 9 12 14 16 17 27 33 45 51 53 63 69 70
Please enter a number you want to search in the array !69
The list to search from [1, 3, 4, 6, 8, 9, 12, 14, 16, 17, 27, 33, 45, 51, 53, 63, 69, 70]
0
Anuvrats-MacBook-Air:Python anuvrattiku$
答案 0 :(得分:3)
在Python2和Python3中,您可以使用评论中所写的bisect。 用以下
替换您的搜索from bisect import bisect_left
def search(alist, item):
'Locate the leftmost value exactly equal to item'
i = bisect_left(alist, item)
if i != len(alist) and alist[i] == item:
return i
raise ValueError
alist = [1,2,7,8,234,5,9,45,65,34,23,12]
x = 5
alist.sort() # bisect only works on sorted lists
print(search(a, x)) # prints 2 as 5 is on position 2 in the sorted list
此外,AS SortedCollection (Python recipe)可能很有用。
以下代码(from here)执行二进制搜索并返回位置,如果找到该项目的话。
def binarySearch(alist, item):
first = 0
last = len(alist)-1
found = False
while first<=last and not found:
pos = 0
midpoint = (first + last)//2
if alist[midpoint] == item:
pos = midpoint
found = True
else:
if item < alist[midpoint]:
last = midpoint-1
else:
first = midpoint+1
return (pos, found)
如果在上面的例子中使用,将返回(2, True)
。
答案 1 :(得分:3)
嗯,你的代码中有一些小错误。要找到它们,您应该使用调试器,或者至少添加跟踪以了解发生的情况。这是您的原始代码,其中包含使问题不明显的痕迹:
def search(list, target):
min = 0
max = len(list)-1
avg = (min+max)/2
print list, target, avg
...
你可以立即看到:
avg-1
的子数组时
修复现在很简单:
elif (list[avg] < target):
return avg + 1 + search(list[avg+1:], target) # add the offset
else:
return search(list[:avg], target) # sublist ends below the upper limit
这不是全部,当你用min == max
结束循环时,你不返回任何东西(意味着你返回None)。最后但并非最不重要的是从不使用标准Python库中的名称作为您自己的变量。
所以这是固定代码:
def search(lst, target):
min = 0
max = len(lst)-1
avg = (min+max)/2
# uncomment next line for traces
# print lst, target, avg
while (min < max):
if (lst[avg] == target):
return avg
elif (lst[avg] < target):
return avg + 1 + search(lst[avg+1:], target)
else:
return search(lst[:avg], target)
# avg may be a partial offset so no need to print it here
# print "The location of the number in the array is", avg
return avg
答案 2 :(得分:0)
您没有得到正确结果的原因是因为在每次递归调用中,您的代码都在发送切片数组。因此阵列长度不断减少。理想情况下,您应该找到一种方法来发送原始数组并仅使用开始,结束索引。
答案 3 :(得分:0)
@Serge Ballesta的解决方案无疑是该问题的正确答案。
我将添加解决该问题的另一种方法:
def search(arr, item, start, end):
if end-start == 1:
if arr[start] == item:
return start
else:
return -1;
halfWay = int( (end-start) / 2)
if arr[start+halfWay] > item:
return search(arr, item, start, end-halfWay)
else:
return search(arr, item, start+halfWay, end)
def binarysearch(arr, item):
return search(arr, item, 0, len(arr))
arr = [1, 3, 4, 6, 8, 9, 12, 14, 16, 17, 27, 33, 45, 51, 53, 63, 69, 70]
print("Index of 69: " + str(binarysearch(arr, 69))) # Outputs: 16