Description#
You are given a 0-indexed string array words
.
Two strings are similar if they consist of the same characters.
- For example,
"abca"
and "cba"
are similar since both consist of characters 'a'
, 'b'
, and 'c'
. - However,
"abacba"
and "bcfd"
are not similar since they do not consist of the same characters.
Return the number of pairs (i, j)
such that 0 <= i < j <= word.length - 1
and the two strings words[i]
and words[j]
are similar.
Example 1:
Input: words = ["aba","aabb","abcd","bac","aabc"]
Output: 2
Explanation: There are 2 pairs that satisfy the conditions:
- i = 0 and j = 1 : both words[0] and words[1] only consist of characters 'a' and 'b'.
- i = 3 and j = 4 : both words[3] and words[4] only consist of characters 'a', 'b', and 'c'.
Example 2:
Input: words = ["aabb","ab","ba"]
Output: 3
Explanation: There are 3 pairs that satisfy the conditions:
- i = 0 and j = 1 : both words[0] and words[1] only consist of characters 'a' and 'b'.
- i = 0 and j = 2 : both words[0] and words[2] only consist of characters 'a' and 'b'.
- i = 1 and j = 2 : both words[1] and words[2] only consist of characters 'a' and 'b'.
Example 3:
Input: words = ["nba","cba","dba"]
Output: 0
Explanation: Since there does not exist any pair that satisfies the conditions, we return 0.
Constraints:
1 <= words.length <= 100
1 <= words[i].length <= 100
words[i]
consist of only lowercase English letters.
Solutions#
Solution 1#
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| class Solution:
def similarPairs(self, words: List[str]) -> int:
ans = 0
cnt = Counter()
for w in words:
v = 0
for c in w:
v |= 1 << (ord(c) - ord("A"))
ans += cnt[v]
cnt[v] += 1
return ans
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| class Solution {
public int similarPairs(String[] words) {
int ans = 0;
Map<Integer, Integer> cnt = new HashMap<>();
for (var w : words) {
int v = 0;
for (int i = 0; i < w.length(); ++i) {
v |= 1 << (w.charAt(i) - 'a');
}
ans += cnt.getOrDefault(v, 0);
cnt.put(v, cnt.getOrDefault(v, 0) + 1);
}
return ans;
}
}
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| class Solution {
public:
int similarPairs(vector<string>& words) {
int ans = 0;
unordered_map<int, int> cnt;
for (auto& w : words) {
int v = 0;
for (auto& c : w) v |= 1 << c - 'a';
ans += cnt[v];
cnt[v]++;
}
return ans;
}
};
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| func similarPairs(words []string) (ans int) {
cnt := map[int]int{}
for _, w := range words {
v := 0
for _, c := range w {
v |= 1 << (c - 'a')
}
ans += cnt[v]
cnt[v]++
}
return
}
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| function similarPairs(words: string[]): number {
let ans = 0;
const cnt: Map<number, number> = new Map();
for (const w of words) {
let v = 0;
for (let i = 0; i < w.length; ++i) {
v |= 1 << (w.charCodeAt(i) - 'a'.charCodeAt(0));
}
ans += cnt.get(v) || 0;
cnt.set(v, (cnt.get(v) || 0) + 1);
}
return ans;
}
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| use std::collections::HashMap;
impl Solution {
pub fn similar_pairs(words: Vec<String>) -> i32 {
let mut ans = 0;
let mut hash: HashMap<i32, i32> = HashMap::new();
for w in words {
let mut v = 0;
for c in w.chars() {
v |= 1 << ((c as u8) - b'a');
}
ans += hash.get(&v).unwrap_or(&0);
*hash.entry(v).or_insert(0) += 1;
}
ans
}
}
|