Last week I came across this page where ITA Software posted a few puzzle challenges it used in its hiring process. I found the one named AddAGram very interesting and then decided to solve it.
Here is the question:
An "add-a-gram" is a sequence of words formed by starting with a 3-letter word, adding a letter and rearranging to form a 4-letter word, and so on. For example, here are add-a-grams of the words "CREDENTIALS" and "ANACHRONISM":
ail + s =
sail + n = nails + e = aliens + t = salient + r = entrails + c = clarinets + e = interlaces + d = CREDENTIALS (length 11) |
mar + c =
cram + h = march + s = charms + o = chromas + n = monarchs + i = harmonics + a = maraschino + n = ANACHRONISM (length 11) |
Test your own credentials: given the dictionary found here, what is the longest add-a-gram?
Initially I thought it would be solvable using a trie by inserting the words in dictionary in a trie and then simply searching the trie for the longest path down with each node after 3 node which is an end node ie. each node after third node marked as end of some word. But then I realized that it was wrong after half way coding it. Then I went back to square one and rethought the problem and then realized that it can be solvable only by searching. So then I came up with the following approach. I started with the longest word in the dictionary and then found the next word that is at a distance of 1 deletion from the previous word then pushed all those on a stack and for each word in the stack searched for next word at a distance of 1. So I basically created a graph from the words in dictionary t runtime and ran a DFS on it. The biggest hurdle or problem with this approach is searching through the whole dictionary for a word of that length and then backtracking when error occurs is very costly. So then I came up with a simple optimization technique to reduce the amount of words to be searched by storing the words in a array of vectors where vector at index i stores words of length i so dividing the access in 2 dimensions gives access to the all words of length i directly by calling dict[i].get(). Then finally we can rebuild the original sequence in the visited list of nodes.
It is written in java and it takes ~20 secs to run wit the dictionary of words given here.
Here is only the main logic part of the code:
You can find the complete program here
public class AddAGram{ public static Vector<String>dic[]; public static Stack<String>s; public static HashSet<String>vis=new HashSet<String>(); public static boolean check(char []l,char []s){ int i,j,len=l.length; for(i=0;i<s.length;i++) for(j=0;j<l.length;j++) if(s[i]==l[j]&&l[j]!=0) {s[i]=0;l[j]=0;len--;} if(len==1) return true; return false; } static void addAll(String str){ int l=str.length()-1,tot=dic[l].size(); String other=""; for(int i=0;i<tot;i++){ other=dic[l].elementAt(i); if(check(str.toCharArray(),other.toCharArray())&&!vis.contains(other)) s.push(other); } } static char diff(String small,String large){ StringBuffer sb=new StringBuffer(large); for(int i=0;i<small.length();i++) sb=sb.deleteCharAt(sb.indexOf(String.valueOf(small.charAt(i)))); return sb.charAt(0); } public static void generateOriginal(String start,String end){ LinkedList<String>list=new LinkedList<String>(); for(String a:vis) list.add(a); String next="",prev=start; list.remove(start); int k,j=end.length(); for(int i=4;i<=j;){ for(k=0;k<list.size();k++){ if(list.get(k).length()==i){ if(check(list.get(k).toCharArray(),prev.toCharArray())){ next=list.remove(k);i++; System.out.println(prev+"+"+diff(prev,next)+"="+next); prev=next;break; } } } } } public static void main(String args[]) throws Exception{ dic=new Vector[30]; String str;int i,j,k; for(i=0;i<30;i++) dic[i]=new Vector<String>(); InputReader sc=new InputReader(new FileInputStream("WORD.LST")); long init=System.currentTimeMillis(); while(!sc.isExhausted()){ str=sc.readLine();dic[str.length()].add(str); } int z=0; String word="",tmp="";Vector<String>v; for(i=29;i>2;i--){ v=dic[i]; for(z=0;z<v.size();z++){ word=v.elementAt(z); s=new Stack<String>(); vis.clear(); s.push(word); while(!s.empty()){ tmp=s.pop(); addAll(tmp); vis.add(tmp); if(tmp.length()==3) { generateOriginal(tmp,word); System.out.println("Time taken : "+(System.currentTimeMillis()-init)); return; } } } } } }
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