标签:bbb example etc ati range amp 结果 examples median
Given a string, find the length of the longest substring without repeating characters.
Examples:
Given "abcabcbb"
, the answer is "abc"
, which the length is 3.
Given "bbbbb"
, the answer is "b"
, with the length of 1.
Given "pwwkew"
, the answer is "wke"
, with the length of 3. Note that the answer must be a substring, "pwke"
is a subsequence and not a substring.
1 class Solution(object): 2 def lengthOfLongestSubstring(self, s): 3 """ 4 :type s: str 5 :rtype: int 6 """ 7 l = len(s) 8 9 # 单个字符或空字符直接返回 10 if l == 1: 11 return 1 12 elif l == 0: 13 return 0 14 15 res = [] 16 for i in range(l): 17 for j in range(i + 1, l): 18 if s[j] in s[i:j]: 19 print(s[i:j]) 20 res.append(len(s[i:j])) 21 break 22 # j是最后一个字符时直接跳出循环来不及计数手动+1 23 elif j==l-1: 24 print(s[i:j]) 25 res.append(len(s[i:j])+1) 26 return max(res)
结果:算法没什么问题,问题是又又又超时了T_T
有关子串和子序列:
子串:子串是必须在原字符串中可以找到的,asd中的sd是子串。
子序列:子序列可以拆分,asd中的ad就是子序列,sd既是子串又是子序列。
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
Example 1:
nums1 = [1, 3] nums2 = [2] The median is 2.0
Example 2:
nums1 = [1, 2] nums2 = [3, 4] The median is (2 + 3)/2 = 2.5
1 class Solution(object): 2 def findMedianSortedArrays(self, nums1, nums2): 3 """ 4 :type nums1: List[int] 5 :type nums2: List[int] 6 :rtype: float 7 """ 8 nums = nums1 + nums2 9 nums = sorted(nums) 10 l = len(nums) 11 if l % 2 == 0: 12 return (nums[int(l/2-1)]+nums[int(l/2)])/2.0 13 else: 14 return (nums[int((l-1)/2)])
结果:Accepted~~虽然标注是hard难度,但是对python来讲这种计算简直太简单了,不过要是用c估计会很麻烦...又想起了写的我头皮发麻的研究生复试机考...没错就是c...
补充一点:
对于非硬性要求的环境,我倾向于使用3.x版本而不是2.7,而这里默认编译器是2.7,所以有一点细节要处理,2.7默认除法继承操作数类型,3.x默认浮点型,所以会有int()(为了3.x可以运行)和/2.0(为了2.7可以运行)的类型转换处理。
标签:bbb example etc ati range amp 结果 examples median
原文地址:http://www.cnblogs.com/hellcat/p/6829190.html