Find anagram of input on set of strings..?

Question

Given a set of strings (large set), and an input string, you need to find all the anagrams of the input string efficiently. What data structure will you use. And using that, how

Answer 1

import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
/*
 *Program for Find Anagrams from Given A string of Arrays.
 *
 *Program's Maximum Time Complexity is O(n) + O(klogk), here k is the length of word.
 *
 * By removal of Sorting, Program's Complexity is O(n) 
 *  **/
public class FindAnagramsOptimized {
    public static void main(String[] args) {
        String[] words = { "gOd", "doG", "doll", "llod", "lold", "life", 
"sandesh", "101", "011", "110" };
        System.out.println(getAnaGram(words));
    }
    // Space Complexity O(n)
    // Time Complexity O(nLogn)
    static Set getAnaGram(String[] allWords) {
        // Internal Data Structure for Keeping the Values
        class OriginalOccurence {
            int occurence;
            int index;
        }
        Map mapOfOccurence = new HashMap<>();
        int count = 0;
        // Loop Time Complexity is O(n)
    // Space Complexity O(K+2K), here K is unique words after sorting on a

    for (String word : allWords) {
        String key = sortedWord(word);

        if (key == null) {
            continue;
        }
        if (!mapOfOccurence.containsKey(key)) {
            OriginalOccurence original = new OriginalOccurence();
            original.index = count;
            original.occurence = 1;
            mapOfOccurence.put(key, original);
        } else {
            OriginalOccurence tempVar = mapOfOccurence.get(key);
            tempVar.occurence += 1;
            mapOfOccurence.put(key, tempVar);
        }
        count++;
    }

    Set finalAnagrams = new HashSet<>();

    // Loop works in O(K), here K is unique words after sorting on
    // characters
    for (Map.Entry anaGramedWordList : mapOfOccurence.entrySet()) {
        if (anaGramedWordList.getValue().occurence > 1) {
            finalAnagrams.add(allWords[anaGramedWordList.getValue().index]);
        }
    }

    return finalAnagrams;
}

// Array Sort works in O(nLogn)
// Customized Sorting for only chracter's works in O(n) time.
private static String sortedWord(String word) {

    // int[] asciiArray = new int[word.length()];
    int[] asciiArrayOf26 = new int[26];
    // char[] lowerCaseCharacterArray = new char[word.length()];
    // int characterSequence = 0;
    // Ignore Case Logic written in lower level
    for (char character : word.toCharArray()) {
        if (character >= 97 && character <= 122) {
            // asciiArray[characterSequence] = character;
            if (asciiArrayOf26[character - 97] != 0) {
                asciiArrayOf26[character - 97] += 1;
            } else {
                asciiArrayOf26[character - 97] = 1;
            }
        } else if (character >= 65 && character <= 90) {
            // asciiArray[characterSequence] = character + 32;
            if (asciiArrayOf26[character + 32 - 97] != 0) {
                asciiArrayOf26[character + 32 - 97] += 1;
            } else {
                asciiArrayOf26[character + 32 - 97] = 1;
            }
        } else {
            return null;
        }

        // lowerCaseCharacterArray[characterSequence] = (char)
        // asciiArray[characterSequence];
        // characterSequence++;
    }
    // Arrays.sort(lowerCaseCharacterArray);

    StringBuilder sortedWord = new StringBuilder();
    int asciiToIndex = 0;
    // This Logic uses for reading the occurrences from array and copying
    // back into the character array
    for (int asciiValueOfCharacter : asciiArrayOf26) {
        if (asciiValueOfCharacter != 0) {
            if (asciiValueOfCharacter == 1) {
                sortedWord.append((char) (asciiToIndex + 97));
            } else {
                for (int i = 0; i < asciiValueOfCharacter; i++) {
                    sortedWord.append((char) (asciiToIndex + 97));
                }
            }
        }
        asciiToIndex++;
    }
    // return new String(lowerCaseCharacterArray);
    return sortedWord.toString();
}
}