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WordSubsets.py
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WordSubsets.py
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"""
We are given two arrays A and B of words. Each word is a string of lowercase letters.
Now, say that word b is a subset of word a if every letter in b occurs in a, including multiplicity. For example, "wrr" is a subset of "warrior", but is not a subset of "world".
Now say a word a from A is universal if for every b in B, b is a subset of a.
Return a list of all universal words in A. You can return the words in any order.
Example 1:
Input: A = ["amazon","apple","facebook","google","leetcode"], B = ["e","o"]
Output: ["facebook","google","leetcode"]
Example 2:
Input: A = ["amazon","apple","facebook","google","leetcode"], B = ["l","e"]
Output: ["apple","google","leetcode"]
Example 3:
Input: A = ["amazon","apple","facebook","google","leetcode"], B = ["e","oo"]
Output: ["facebook","google"]
Example 4:
Input: A = ["amazon","apple","facebook","google","leetcode"], B = ["lo","eo"]
Output: ["google","leetcode"]
Example 5:
Input: A = ["amazon","apple","facebook","google","leetcode"], B = ["ec","oc","ceo"]
Output: ["facebook","leetcode"]
Note:
1 <= A.length, B.length <= 10000
1 <= A[i].length, B[i].length <= 10
A[i] and B[i] consist only of lowercase letters.
All words in A[i] are unique: there isn't i != j with A[i] == A[j].
如果 B 中每一个元素出现的字符均在 A 中某一个元素中出现,则视为子单词,给一个A 和 B求子单词数量。
思路:
哈希 A,
哈希 B。
B 哈希的时候要注意,有重复。
比如["ec","oc","ceo"]
只要有 c e o 各一次即可。不需要每个都判断一次。
测试地址:
https://leetcode.com/problems/word-subsets/description/
这个写法比较慢,前面的思路基本都是哈希。
"""
from collections import Counter
class Solution(object):
def wordSubsets(self, A, B):
"""
:type A: List[str]
:type B: List[str]
:rtype: List[str]
"""
dict_A = {i:Counter(i) for i in A}
dict_B = {}
for i in B:
c = Counter(i)
for j in c:
if c.get(j) > dict_B.get(j, 0):
dict_B[j] = c.get(j)
result = []
for i in dict_A:
for j in dict_B:
if dict_B[j] > dict_A[i].get(j):
break
else:
result.append(i)
return result