题目来源


https://leetcode.com/problems/substring-with-concatenation-of-all-words/

You are given a string, s, and a list of words, words, that are all of the same length.

Find all starting indices of substring(s) in s that is a concatenation of each word in wordsexactly once and without any intervening characters.


题意分析


Input:a str and a list

Output:a list recorded the indices

Conditions:输入一个字符串s和一连串的长度相同的字符串数组words,找出仅由所有的words组成的s的子字符串起始位置。words内的元素可能重复,但是每个元素都需要出现(如有两个‘good’元素,那么’good‘就需要出现两次)

examples:

s: "barfoothefoobarman"
words: ["foo", "bar"]

You should return the indices: [0,9].


题目思路


  1. 首先将words存为一个dic(dictiionary(字典))(出现一次value为1,出现两次value为2,以此类推)
  2. 遍历每一个可能的str(长度等于len(words)*len(words[0]))
  3. 对每一个str,用一个新的字典d来存储已经出现的word,用python的分片来访问每一个str里面的word,用计数器count计数相等的word
  4. 条件检验:如果元素不在dic,直接break取下一个可能的str;如果元素在dic,但是不在d,直接将新元素加入到d,value取为1,count加1;如果元素在dic,同时也在d,看此时d中的value是否小于dic中的value,小于则value加1,count加1,否则此字串不满足条件,舍弃取下一条str
  5. 每一次对一个str处理后,d要清空,count要置为0
  6. 注意事项:d.get(each_str, -1) != -1的速度不如 each_str in d

AC代码(Python)

 _author_ = "YE"
# -*- coding:utf-8 -*-
# SH……把d.get(each_str, -1) == -1类似的判断改为 each_str not in d 就AC了……说明后者效率高呀
def findSubstring(s, words):
"""
:type s: str
:type words: List[str]
:rtype: List[int]
"""
import math
rtype = []
dic = {} len_word = len(words)
if len_word == 0:
return rtype
#print('len of words:%s' % len_word) len_each_word = len(words[0])
#print('len of each word:%s' % len_each_word) all_len = len_word * len_each_word
#print("all len:", all_len) for x in words:
if x in dic:
dic[x] = dic[x] + 1
else:
dic[x] = 1 #print('dictionary:')
#print(dic) #print(dic.get('arf',-1) == -1) len_s = len(s)
#print('the len of the str s', len_s) if len_s < all_len:
return rtype #print('From loop') for i in range(len_s - all_len + 1):
str = s[i:i+all_len]
count = 0
d = {}
for j in range(len_word):
each_str = str[j * len_each_word:(j + 1) * len_each_word]
if each_str not in dic:
count = 0
break
elif each_str in d:
if d[each_str] == dic[each_str]:
count = 0
break
else:
d[each_str] = d[each_str] + 1
count = count + 1
continue
else:
d[each_str] = 1
count = count + 1
if count == len_word:
rtype.append(i)
count = 0
#print(rtype)

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