965. Univalued Binary Tree

A binary tree is univalued if every node in the tree has the same value.

Return true if and only if the given tree is univalued.

Example 1:

Input: [1,1,1,1,1,null,1]
Output: true

Example 2:

Input: [2,2,2,5,2]
Output: false

Note:

  1. The number of nodes in the given tree will be in the range [1, 100].
  2. Each node's value will be an integer in the range [0, 99].

Code:

/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
bool isUnivalTree(TreeNode* root) {
solve(root, root->val);
return ans;
} void solve(TreeNode* root, int num) {
if (root->val != num) ans = false;
if (root->left != NULL) solve(root->left, num);
if (root->right != NULL) solve(root->right, num);
} private:
bool ans = true;
};

  

967. Numbers With Same Consecutive Differences

Return all non-negative integers of length N such that the absolute difference between every two consecutive digits is K.

Note that every number in the answer must not have leading zeros except for the number 0 itself. For example, 01 has one leading zero and is invalid, but 0 is valid.

You may return the answer in any order.

Example 1:

Input: N = 3, K = 7
Output: [181,292,707,818,929]
Explanation: Note that 070 is not a valid number, because it has leading zeroes.

Example 2:

Input: N = 2, K = 1
Output: [10,12,21,23,32,34,43,45,54,56,65,67,76,78,87,89,98]

Code:

class Solution {
public:
vector<int> numsSameConsecDiff(int N, int K) {
vector<int> ans;
if (N == 1) {
for (int i = 0; i < 10; ++i)
ans.push_back(i);
return ans;
}
for (int i = 1; i < 10; ++i) {
string s = to_string(i);
dfs(s, N, K, ans);
}
return ans;
} void dfs(string s, const int N, const int K, vector<int>& ans) {
if (s.length() == N) {
ans.push_back(stoi(s));
return ;
}
int lastNum = s[s.length()-1] - '0';
int temp = lastNum + K;
string dummy = s;
if (temp >= 0 && temp < 10) {
dummy += to_string(temp);
dfs(dummy, N, K, ans);
}
if (K != 0) {
int temp = lastNum - K;
if (temp >= 0 && temp < 10) {
s += to_string(temp);
dfs(s, N, K, ans);
}
}
}
};

  

966. Vowel Spellchecker

Given a wordlist, we want to implement a spellchecker that converts a query word into a correct word.

For a given query word, the spell checker handles two categories of spelling mistakes:

  • Capitalization: If the query matches a word in the wordlist (case-insensitive), then the query word is returned with the same case as the case in the wordlist.

    • Example: wordlist = ["yellow"]query = "YellOw"correct = "yellow"
    • Example: wordlist = ["Yellow"]query = "yellow"correct = "Yellow"
    • Example: wordlist = ["yellow"]query = "yellow"correct = "yellow"
  • Vowel Errors: If after replacing the vowels ('a', 'e', 'i', 'o', 'u') of the query word with any vowel individually, it matches a word in the wordlist (case-insensitive), then the query word is returned with the same case as the match in the wordlist.
    • Example: wordlist = ["YellOw"]query = "yollow"correct = "YellOw"
    • Example: wordlist = ["YellOw"]query = "yeellow"correct = "" (no match)
    • Example: wordlist = ["YellOw"]query = "yllw"correct = "" (no match)

In addition, the spell checker operates under the following precedence rules:

  • When the query exactly matches a word in the wordlist (case-sensitive), you should return the same word back.
  • When the query matches a word up to capitlization, you should return the first such match in the wordlist.
  • When the query matches a word up to vowel errors, you should return the first such match in the wordlist.
  • If the query has no matches in the wordlist, you should return the empty string.

Given some queries, return a list of words answer, where answer[i] is the correct word for query = queries[i].

Example 1:

Input: wordlist = ["KiTe","kite","hare","Hare"], queries = ["kite","Kite","KiTe","Hare","HARE","Hear","hear","keti","keet","keto"]
Output: ["kite","KiTe","KiTe","Hare","hare","","","KiTe","","KiTe"]

Note:

  • 1 <= wordlist.length <= 5000
  • 1 <= queries.length <= 5000
  • 1 <= wordlist[i].length <= 7
  • 1 <= queries[i].length <= 7
  • All strings in wordlist and queries consist only of english letters.

Code:

class Solution {
public:
vector<string> spellchecker(vector<string>& wordlist, vector<string>& queries) {
unordered_map<string, vector<string>> seen, tran;
unordered_set<string> matches;
for (int i = 0; i < wordlist.size(); ++i) {
string temp_tolower = _tolower(wordlist[i]);
string temp_todev = _todev(wordlist[i]);
seen[temp_tolower].push_back(wordlist[i]);
tran[temp_todev].push_back(wordlist[i]);
matches.insert(wordlist[i]);
}
vector<string> ans;
for (int i = 0; i < queries.size(); ++i) {
// match
if (matches.count(queries[i])) {
ans.push_back(queries[i]);
continue;
} string temp = _tolower(queries[i]); // capitalization
if (seen.count(temp)) {
ans.push_back(seen[temp][0]);
continue;
} // vowel errors
string ant = _todev(queries[i]);
if (tran.count(ant)) {
ans.push_back(tran[ant][0]);
} else {
ans.push_back("");
}
} return ans;
} string _tolower(string s) {
for (auto& c : s)
c = tolower(c); return s;
} string _todev(string s) {
s = _tolower(s);
for (auto& c : s)
if (c == 'a' || c == 'e' || c == 'i' || c == 'o' || c == 'u')
c = '#';
return s;
}
};

  

In this question I reference the function of _todev with @lee215.

968. Binary Tree Cameras

Given a binary tree, we install cameras on the nodes of the tree.

Each camera at a node can monitor its parent, itself, and its immediate children.

Calculate the minimum number of cameras needed to monitor all nodes of the tree.

Example 1:

Input: [0,0,null,0,0]
Output: 1
Explanation: One camera is enough to monitor all nodes if placed as shown.

Example 2:

Input: [0,0,null,0,null,0,null,null,0]
Output: 2
Explanation: At least two cameras are needed to monitor all nodes of the tree. The above image shows one of the valid configurations of camera placement.

Note:

  1. The number of nodes in the given tree will be in the range [1, 1000].
  2. Every node has value 0.

Code:

/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
int minCameraCover(TreeNode* root) {
int state = dfs(root);
return res + (state < 1 ? 1 : 0);
} int dfs(TreeNode* root) {
int needCamera = 0;
int covered = 0; if (root->left == NULL && root->right == NULL)
return 0; if (root->left != NULL) {
int state = dfs(root->left);
if (state == 0) {
needCamera = 1;
covered = 1;
} else if (state == 1) {
covered = 1;
}
} if (root->right != NULL) {
int state = dfs(root->right);
if (state == 0) {
needCamera = 1;
covered = 1;
} else if (state == 1) {
covered = 1;
}
} if (needCamera > 0) {
res++;
return 1;
} if (covered > 0) {
return 2;
} return 0;
} private:
int res = 0;
};

  

Analysis:

https://leetcode.com/problems/binary-tree-cameras/discuss/211180/JavaC%2B%2BPython-Greedy-DFS

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