Given two sentences words1, words2 (each represented as an array of strings), and a list of similar word pairs pairs, determine if two sentences are similar.

For example, words1 = ["great", "acting", "skills"] and words2 = ["fine", "drama", "talent"] are similar, if the similar word pairs are pairs = [["great", "good"], ["fine", "good"], ["acting","drama"], ["skills","talent"]].

Note that the similarity relation is transitive. For example, if "great" and "good" are similar, and "fine" and "good" are similar, then "great" and "fine" are similar.

Similarity is also symmetric. For example, "great" and "fine" being similar is the same as "fine" and "great" being similar.

Also, a word is always similar with itself. For example, the sentences words1 = ["great"], words2 = ["great"], pairs = [] are similar, even though there are no specified similar word pairs.

Finally, sentences can only be similar if they have the same number of words. So a sentence like words1 = ["great"] can never be similar to words2 = ["doubleplus","good"].

Note:

The length of words1 and words2 will not exceed 1000.
The length of pairs will not exceed 2000.
The length of each pairs[i] will be 2.
The length of each words[i] and pairs[i][j] will be in the range [1, 20].

分析:本题要得出结果难度不大,但是会遇到Time Exceed Limited的错误,因此降低时间复杂度是关键。我的解题思路比较简单,首先为paris创建字典,找出所有与指定词有直接关系的近义词。例如paris 形成的字典如下:

paris = [["great", "good"], ["fine", "good"], ["acting","drama"], ["skills","talent"]],

dic   =  {'great': set(['good']), 'good': set(['great', 'fine']), 'talent': set(['skills']), 'skills': set(['talent']), 
'drama': set(['acting']), 'acting': set(['drama']), 'fine': set(['good'])}

接下来就是遍历words1和words2,遇到不相同词,直接根据key在字典中找到直接近义词,然后再利用类似广度遍历的思想,找出所有直接近义词的直接近义词,得到所有的近义词列表,再判断两个词的近义词列表是否有交集。

class Solution(object):
dic = {}
def createDict(self,paris):
self.dic = {}
for i in paris:
if self.dic.has_key(i[0]):
self.dic[i[0]].add(i[1])
else:
s = set()
s.add(i[1])
self.dic[i[0]] = s if self.dic.has_key(i[1]):
self.dic[i[1]].add(i[0])
else:
s = set()
s.add(i[0])
self.dic[i[1]] = s
def buildWordList(self,wl):
if len(wl) == 0:
return ()
s = set()
stack = []
for i in wl:
stack.append(i)
while len(stack) > 0:
v = stack.pop()
if v in s:
continue
else:
s.add(v)
for j in self.dic[v]:
stack.append(j) return s def areSentencesSimilarTwo(self, words1, words2, pairs):
"""
:type words1: List[str]
:type words2: List[str]
:type pairs: List[List[str]]
:rtype: bool
"""
if len(words1) != len(words2):
return False
self.createDict(pairs)
#print self.dic
#return
for i in range(len(words1)):
#print words1[i] ,words2[i]
if words1[i] == words2[i]:
continue
else:
s1 = set()
s2 = set()
if (self.dic.has_key(words1[i])):
s1 = self.buildWordList(self.dic[words1[i]])
if (self.dic.has_key(words2[i])):
s2 = self.buildWordList(self.dic[words2[i]])
if len(s1 & s2) == 0:
print s1,s2
print words1[i] ,words2[i]
return False return True


【leetcode】Submission Details的更多相关文章

  1. 【leetcode】893. Groups of Special-Equivalent Strings

    Algorithm [leetcode]893. Groups of Special-Equivalent Strings https://leetcode.com/problems/groups-o ...

  2. 【LeetCode】319. Bulb Switcher 解题报告(Python)

    [LeetCode]319. Bulb Switcher 解题报告(Python) 标签(空格分隔): LeetCode 题目地址:https://leetcode.com/problems/bulb ...

  3. 【LeetCode】659. Split Array into Consecutive Subsequences 解题报告(Python)

    [LeetCode]659. Split Array into Consecutive Subsequences 解题报告(Python) 标签(空格分隔): LeetCode 作者: 负雪明烛 id ...

  4. 【LeetCode】556. Next Greater Element III 解题报告(Python)

    [LeetCode]556. Next Greater Element III 解题报告(Python) 标签(空格分隔): LeetCode 作者: 负雪明烛 id: fuxuemingzhu 个人 ...

  5. 【LeetCode】522. Longest Uncommon Subsequence II 解题报告(Python)

    [LeetCode]522. Longest Uncommon Subsequence II 解题报告(Python) 标签(空格分隔): LeetCode 作者: 负雪明烛 id: fuxuemin ...

  6. 【LeetCode】722. Remove Comments 解题报告(Python)

    [LeetCode]722. Remove Comments 解题报告(Python) 标签: LeetCode 题目地址:https://leetcode.com/problems/remove-c ...

  7. 【LeetCode】154. Find Minimum in Rotated Sorted Array II 解题报告(Python)

    [LeetCode]154. Find Minimum in Rotated Sorted Array II 解题报告(Python) 标签: LeetCode 题目地址:https://leetco ...

  8. 【LeetCode】Minimum Depth of Binary Tree 二叉树的最小深度 java

    [LeetCode]Minimum Depth of Binary Tree Given a binary tree, find its minimum depth. The minimum dept ...

  9. 【Leetcode】Pascal's Triangle II

    Given an index k, return the kth row of the Pascal's triangle. For example, given k = 3, Return [1,3 ...

随机推荐

  1. 转 Java的各种打包方式(JAR/WAR/EAR/CAR)

    JAR (Java Archive file) 包含内容:class.properties文件,是文件封装的最小单元:包含Java类的普通库.资源(resources).辅助文件(auxiliary ...

  2. CTF—攻防练习之ssh私钥泄露

    攻防练习1 ssh私钥泄露 靶场镜像:链接: https://pan.baidu.com/s/1xfKILyIzELi_ZgUw4aXT7w 提取码: 59g0 首先安装打开靶场机 没办法登录,也没法 ...

  3. 【VS开发】win7下让程序默认以管理员身份运行

    在win7中用自己写的程序读取MBR时,突然提示无法对磁盘进行操作,而在xp下并没有这个问题:最后点右键以管理员身份运行才可以正常运行.于是想办法让程序在双击启动时默认以管理员身份运行.具体方法: 1 ...

  4. vue父子组件相互传值的实例

    当子组件需要向父组件传递数据时,就要用到自定义事件 子组件用 $emit()来触发事件,父组件用$on()来监昕子组件的事件 父组件也可以直接在子组件的自定义标签上使用 v-on 来监昕子组件触发的自 ...

  5. Python 正则匹配网页内的IP地址及端口号

    #!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2017-08-30 20:38:23 # @Author : EnderZhou (z ...

  6. 国产银河麒麟 安装wps 的简单方法

    前提说明 银河麒麟 是总部在天津的企业 有国防科大还有 ubuntu的母公司一起在维护 主要的产品有 优麒麟 还有 银河麒麟 优麒麟 可以看做是 国产版的ubuntu的社区版 银河麒麟 则是 面向国内 ...

  7. HDU-4507-吉哥系列故事-恨7不成妻

    题目描述 单身! 依然单身! 吉哥依然单身! DS级码农吉哥依然单身! 所以,他生平最恨情人节,不管是214还是77,他都讨厌! 吉哥观察了214和77这两个数,发现: 2+1+4=7 7+7=7*2 ...

  8. MongoDB和Redis的区别

    1).内存管理机制 a.Redis的数据全部存储在内存当中,会定期写入到磁盘当中,当内存不够用时, 可以选择指定的LRU(最近最少使用算法)的算法删除数据: b.MongoDB数据存在内存,有Linu ...

  9. Vue的双向数据绑定的原理

    Vue数据双向绑定的原理就是采用数据劫持结合发布者-订阅者模式,通过object.defineProperty()来劫持各个属性的setter,getter,在数据变动时发布消息给订阅者,触发相应的监 ...

  10. 列举java语言中反射的常用方法

    package review;/*12:43 2019/7/21*/ import model.AnotherClass; import model.OneClassMore; import mode ...