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916 Word Subsets.py
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#!/usr/bin/python3
"""
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].
"""
from typing import List
from collections import Counter, defaultdict
class Solution:
def wordSubsets(self, A: List[str], B: List[str]) -> List[str]:
"""
brute foce check b subset of a: two pointers O(|a| + |b|)
O(n * m * (|a|+|b|))
The order of chars does not matter.
For every letter
C_letter (a) >= max(C_letter(b) for b in B)
"""
mx = defaultdict(int)
for b in B:
c = Counter(b)
for k, v in c.items():
mx[k] = max(mx[k], v)
ret = []
for a in A:
c = Counter(a)
for k, v in mx.items():
if c[k] < v:
break
else:
ret.append(a)
return ret