👽
Software Engineer Interview Handbook
  • README
  • Behavioral
    • Useful Links
    • Dongze Li
  • Algorithm
    • Segment Tree
    • Array
      • Product Of Array Except Self
      • Merge Strings Alternately
      • Increasing Triplet Subsequence
      • String Compression
      • Greatest Common Divisor Strings
      • Max Product Of Three
      • Find Duplicate Num
      • Valid Palindrome Ii
      • Next Permutation
      • Rearrange Array By Sign
      • Removing Min Max Elements
      • Find Original Array From Doubled
      • Reverse Words Ii
    • Backtracking
      • Letter Combination Phone Number
      • Combination Sum Iii
      • N Queens
      • Permutations
      • Combination Sum
    • Binary Search
      • Koko Eating Bananas
      • Find Peak Element
      • Successful Pairs Of Spells Potions
    • Binary Search Tree
      • Delete Node In BST
      • Validate Bst
      • Range Sum Bst
    • Binary Tree
      • Maximum Depth
      • Leaf Similar Trees
      • Maximum Level Sum
      • Binary Tree Right Side
      • Lowest Common Ancestor
      • Longest Zigzag Path
      • Count Good Nodes
      • Path Sum III
      • Maximum Path Sum
      • Move Zero
      • Diameter Binary Tree
      • Sum Root Leaf Number
      • Traversal
      • Binary Tree Vertical Order
      • Height Tree Removal Queries
      • Count Nodes Avg Subtree
      • Distribute Coins
      • Binary Tree Max Path Sum
    • Bit
      • Min Flips
      • Single Number
      • Pow
      • Find Unique Binary Str
    • BFS
      • Rotten Oranges
      • Nearest Exist From Entrance
      • Minimum Knight Moves
      • Network Delay Time
      • Minimum Height Tree
      • Knight Probability In Board
    • Design
      • LRU Cache
      • Get Random
      • LFU Cache
      • Moving Average
      • Rle Iterator
      • Design Hashmap
    • DFS
      • Reorder Routes Lead City
      • Evaluate Division
      • Keys And Rooms
      • Number Of Provinces
      • Disconnected Path With One Flip
      • Course Schedule Ii
      • Robot Room Cleaner
      • Word Break Ii
      • Number Coins In Tree Nodes
      • Maximum Increasing Cells
      • Number Coins In Tree Nodes
      • Detonate Maximum Bombs
      • Find All Possible Recipes
      • Min Fuel Report Capital
      • Similar String Groups
    • DP
      • Domino And Tromino Tiling
      • House Robber
      • Longest Common Subsequence
      • Trade Stock With Transaction Fee
      • Buy And Sell Stock
      • Longest Non Decreasing Subarray
      • Number Of Good Binary Strings
      • Delete And Earn
      • Minimum Costs Using Train Line
      • Decode Ways
      • Trapping Rain Water
      • Count Fertile Pyramids
      • Minimum Time Finish Race
      • Knapsack
      • Count Unique Char Substrs
      • Count All Valid Pickup
    • Greedy
      • Dota2 Senate
      • Smallest Range Ii
      • Can Place Flowers
      • Meeting Rooms II
      • Guess the word
      • Minimum Replacement
      • Longest Palindrome Two Letter Words
      • Parentheses String Valid
      • Largest Palindromic Num
      • Find Missing Observations
      • Most Profit Assigning Work
    • Hashmap
      • Equal Row Column Pairs
      • Two Strings Close
      • Group Anagrams
      • Detect Squares
    • Heap
      • Maximum Subsequence Score
      • Smallest Number Infinite Set
      • Total Cost Hire Workers
      • Kth Largest Element
      • Meeting Rooms III
      • K Closest Points Origin
      • Merge K Sorted List
      • Top K Frequent Elements
      • Meeting Room III
      • Num Flowers Bloom
      • Find Median From Stream
    • Intervals
      • Non Overlapping Intervals
      • Min Arrows Burst Ballons
    • Linkedlist
      • Reverse Linked List
      • Delete Middle Node
      • Odd Even Linkedlist
      • Palindrome Linkedlist
    • Monotonic Stack
      • Daily Temperatures
      • Online Stock Span
    • Random
      • Random Pick With Weight
      • Random Pick Index
      • Shuffle An Array
    • Recursion
      • Difference Between Two Objs
    • Segment Fenwick
      • Longest Increasing Subsequence II
    • Stack
      • Removing Stars From String
      • Asteroid Collision
      • Evaluate Reverse Polish Notation
      • Building With Ocean View
      • Min Remove Parentheses
      • Basic Calculator Ii
      • Simplify Path
      • Min Add Parentheses
    • Prefix Sum
      • Find The Highest Altitude
      • Find Pivot Index
      • Subarray Sum K
      • Range Addition
    • Sliding Window
      • Max Vowels Substring
      • Max Consecutive Ones III
      • Longest Subarray Deleting Element
      • Minimum Window Substring
      • K Radius Subarray Averages
    • String
      • Valid Word Abbreviations
    • Two Pointers
      • Container With Most Water
      • Max Number K Sum Pairs
      • Is Subsequence
      • Num Substrings Contains Three Char
    • Trie
      • Prefix Tree
      • Search Suggestions System
      • Design File System
    • Union Find
      • Accounts Merge
    • Multithreading
      • Basics
      • Web Crawler
  • System Design
    • Operating System
    • Mocks
      • Design ChatGPT
      • Design Web Crawler
      • Distributed Search
      • News Feed Search
      • Top K / Ad Click Aggregation
      • Design Job Scheduler
      • Distributed Message Queue
      • Google Maps
      • Nearby Friends
      • Proximity Service
      • Metrics monitoring and alert system
      • Design Email
      • Design Gaming Leaderboard
      • Facebook New Feed Live Comments
      • Dog Sitting App
      • Design Chat App (WhatsApp)
      • Design Youtube/Netflix
      • Design Google Doc
      • Design Webhook
      • Validate Instacart Shopper Checkout
      • Design Inventory
      • Design donation app
      • Design Twitter
    • Deep-Dive
      • Back of Envelope
      • Message Queue
      • Redis Sorted Set
      • FAQ
      • Geohash
      • Quadtree
      • Redis Pub/Sub
      • Cassandra DB
      • Collaborative Concurrency Control
      • Websocket / Long Polling / SSE
    • DDIA
      • Chapter 2: Data Models and Query Languages
      • Chapter 5: Replication
      • Chapter 9: Consistency and Consensus
  • OOD
    • Overview
    • Design Parking
  • Company Tags
    • Meta
    • Citadel
      • C++ Fundamentals
      • 面经1
      • Fibonacci
      • Pi
      • Probability
    • DoorDash
      • Similar String Groups
      • Door And Gates
      • Max Job Profit
      • Design File System
      • Count All Valid Pickup
      • Most Profit Assigning Work
      • Swap
      • Binary Tree Max Path Sum
      • Nearest Cities
      • Exployee Free Time
      • Tree Add Removal
    • Lyft
      • Autocomplete
      • Job Scheduler
      • Read4
      • Kvstore
    • Amazon
      • Min Binary Str Val
    • AppLovin
      • TODO
      • Java Basic Questions
    • Google
      • Huffman Tree
      • Unique Elements
    • Instacart
      • Meeting Rooms II
      • Pw
      • Pw2
      • Pw3
      • Expression1
      • Expression2
      • Expression3
      • PW All
      • Expression All
      • Wildcard
      • Free forum tech discussion
    • OpenAI
      • Spreadsheet
      • Iterator
      • Kv Store
    • Rabbit
      • Scheduler
      • SchedulerC++
    • [Microsoft]
      • Min Moves Spread Stones
      • Inorder Successor
      • Largest Palindromic Num
      • Count Unique Char Substrs
      • Reverse Words Ii
      • Find Missing Observations
      • Min Fuel Report Capital
      • Design Hashmap
      • Find Original Array From Doubled
      • Num Flowers Bloom
      • Distribute Coins
      • Find Median From Stream
Powered by GitBook
On this page
  1. Algorithm
  2. Greedy

Guess the word

// https://leetcode.com/problems/guess-the-word/description/

/*
You are given an array of unique strings words where words[i] is six letters long. One word of words was chosen as a secret word.

You are also given the helper object Master. You may call Master.guess(word) where word is a six-letter-long string, and it must be from words. Master.guess(word) returns:

-1 if word is not from words, or
an integer representing the number of exact matches (value and position) of your guess to the secret word.
There is a parameter allowedGuesses for each test case where allowedGuesses is the maximum number of times you can call Master.guess(word).

For each test case, you should call Master.guess with the secret word without exceeding the maximum number of allowed guesses. You will get:

"Either you took too many guesses, or you did not find the secret word." if you called Master.guess more than allowedGuesses times or if you did not call Master.guess with the secret word, or
"You guessed the secret word correctly." if you called Master.guess with the secret word with the number of calls to Master.guess less than or equal to allowedGuesses.
The test cases are generated such that you can guess the secret word with a reasonable strategy (other than using the bruteforce method).

Ex1:
Input: secret = "acckzz", words = ["acckzz","ccbazz","eiowzz","abcczz"], allowedGuesses = 10
Output: You guessed the secret word correctly.
Explanation:
master.guess("aaaaaa") returns -1, because "aaaaaa" is not in wordlist.
master.guess("acckzz") returns 6, because "acckzz" is secret and has all 6 matches.
master.guess("ccbazz") returns 3, because "ccbazz" has 3 matches.
master.guess("eiowzz") returns 2, because "eiowzz" has 2 matches.
master.guess("abcczz") returns 4, because "abcczz" has 4 matches.
We made 5 calls to master.guess, and one of them was the secret, so we pass the test case.

Ex2:
Input: secret = "hamada", words = ["hamada","khaled"], allowedGuesses = 10
Output: You guessed the secret word correctly.
Explanation: Since there are two words, you can guess both.

*/

#include <vector>
#include <string>

using namespace std;

// Using score
int match(string s1, string s2) {
    int res = 0;
    for (int i = 0; i < 6; i++) {
        if (s1[i] == s2[i]) res++;
    }
    return res;
}
int score(string& s, vector<string>& words) {
    int res = 0;
    for (int i = 0; i < words.size(); i++) {
        if (s == words[i]) continue;
        res += match(s, words[i]);
    }
    return res;
}
void findSecretWord(vector<string>& words, Master& master) {
    vector<string> possibleWords = words;
    while (true) {
        string candidate = possibleWords[0];
        int mxScore = score(candidate, possibleWords);
        for (int i = 1; i < possibleWords.size(); i++) {
            int s = score(possibleWords[i], possibleWords);
            if (s > mxScore) {
                candidate = possibleWords[i];
                mxScore = s;
            }
        }
        int matches = master.guess(candidate);
        if (matches == 6) {
            break;
        }

        vector<string> filter;
        for (int i = 0; i < possibleWords.size(); i++) {
            if (candidate == possibleWords[i]) continue;
            if (match(possibleWords[i], candidate) != matches) continue;
            filter.push_back(possibleWords[i]);
        }

        possibleWords = filter;
    }
}

// Using weight and sort
// 2. We eliminate more words by choosing words that are more similar to the rest of the wordlist

// If guess("xyz") > 0 then we can eliminate words that are dissimilar to "xyz" (see above).
// But we can elminate words that are similar to "xyz" if guess("xyz") is == 0. 
// For large wordlists, the overwhelming fraction of words in wordlist will have a score of 0. 
// (Fun problem : compute this fraction for a randomly generated wordlist of size N.)

// Given guess() returns 0 most of the time for large wordlists, we can, 
// on average eliminate more words per guess by choosing words that are more similar to the rest ofthe corpus.

// We can do this by sorting the words in order of "similarity to the rest of the corpus".
// You can do this pretty much any reasonable way and pass the LeetCode testcases.
// But just as an example, here's a solution in which we assign each letter at each position a "weight" 
// equal to the number of times that letter occurs at that position across entire wordlist. 
// Each word's similarity to the rest of the corpus is then the sum of these weights for its letters.
int match(string s1, string s2) {
    int res = 0;
    for (int i = 0; i < 6; i++) {
        if (s1[i] == s2[i]) res++;
    }
    return res;
}

void findSecretWord(vector<string>& words, Master& master) {
    vector<string> possibleWords = words;
    vector<vector<int>> weights(6, vector<int>(26, 0));
    for (int i = 0; i < words.size(); i++) {
        for (int j = 0; j < words[i].size(); j++) {
            int idx = words[i][j] - 'a';
            weights[j][idx]++;
        }
    }

    auto compare = [&weights](const std::string& a, const std::string& b) {
        int weightA = 0, weightB = 0;
        for (int i = 0; i < a.size(); ++i) {
            weightA += weights[i][a[i] - 'a'];
        }
        for (int i = 0; i < b.size(); ++i) {
            weightB += weights[i][b[i] - 'a'];
        }

        return weightA > weightB;
        };

    sort(possibleWords.begin(), possibleWords.end(), compare);

    while (true) {
        string candidate = possibleWords[0];
        int matches = master.guess(candidate);
        if (matches == 6) {
            break;
        }

        vector<string> filter;
        for (int i = 0; i < possibleWords.size(); i++) {
            if (candidate == possibleWords[i]) continue;
            if (match(possibleWords[i], candidate) != matches) continue;
            filter.push_back(possibleWords[i]);
        }

        possibleWords = filter;
    }
}


// From my wordle solver : One solution is to do two passes over the words.
// In the first pass, mark the matched characters and increment count for unmatched characters in answer.
// Then, in the second pass, mark the characters in input if their count is nonzero, and decrement the count.

// Find the response on playing <attempt> to the word <real>
std::string GameBase::match(const std::string & real, const std::string & attempt) {
    std::string ret(word_length, '0');

    // To count unmatched occurreces
    std::unordered_map<char, int> cnt;

    // First look for exact character matches
    // And increment counter of unmatched characters
    for (int i = 0; i < word_length; ++i) {
        if (real[i] == attempt[i])
            ret[i] = responsecolors[0];
        else
            ++cnt[real[i]];
    }

    // Now mark all the characters at wrong positions
    for (int i = 0; i < word_length; ++i) {
        if (ret[i] != '0') continue;

        if (cnt[attempt[i]])
            ret[i] = responsecolors[1], --cnt[attempt[i]];
        else
            ret[i] = responsecolors[2];
    }

    return ret;
}```
PreviousMeeting Rooms IINextMinimum Replacement

Last updated 1 year ago