I have the following 2D array:
String[M][]
String[0]
\"1\",\"2\",\"3\"
String[1]
\"A\", \"B\"
.
.
.
String[M-1]
\"!\"
A
You can iterate through the combinations one at a time like clockwork by using an array to record the size of each inner array, and a counter array which keeps track of which member to use from each inner array. Something like this method:
/**
* Produce a List<String> which contains every combination which can be
* made by taking one String from each inner String array within the
* provided two-dimensional String array.
* @param twoDimStringArray a two-dimensional String array which contains
* String arrays of variable length.
* @return a List which contains every String which can be formed by taking
* one String from each String array within the specified two-dimensional
* array.
*/
public static List<String> combinations(String[][] twoDimStringArray) {
// keep track of the size of each inner String array
int sizeArray[] = new int[twoDimStringArray.length];
// keep track of the index of each inner String array which will be used
// to make the next combination
int counterArray[] = new int[twoDimStringArray.length];
// Discover the size of each inner array and populate sizeArray.
// Also calculate the total number of combinations possible using the
// inner String array sizes.
int totalCombinationCount = 1;
for(int i = 0; i < twoDimStringArray.length; ++i) {
sizeArray[i] = twoDimStringArray[i].length;
totalCombinationCount *= twoDimStringArray[i].length;
}
// Store the combinations in a List of String objects
List<String> combinationList = new ArrayList<String>(totalCombinationCount);
StringBuilder sb; // more efficient than String for concatenation
for (int countdown = totalCombinationCount; countdown > 0; --countdown) {
// Run through the inner arrays, grabbing the member from the index
// specified by the counterArray for each inner array, and build a
// combination string.
sb = new StringBuilder();
for(int i = 0; i < twoDimStringArray.length; ++i) {
sb.append(twoDimStringArray[i][counterArray[i]]);
}
combinationList.add(sb.toString()); // add new combination to list
// Now we need to increment the counterArray so that the next
// combination is taken on the next iteration of this loop.
for(int incIndex = twoDimStringArray.length - 1; incIndex >= 0; --incIndex) {
if(counterArray[incIndex] + 1 < sizeArray[incIndex]) {
++counterArray[incIndex];
// None of the indices of higher significance need to be
// incremented, so jump out of this for loop at this point.
break;
}
// The index at this position is at its max value, so zero it
// and continue this loop to increment the index which is more
// significant than this one.
counterArray[incIndex] = 0;
}
}
return combinationList;
}
If you imagine the counter array being like a digital clock reading then the first String combination sees the counter array at all zeroes, so that the first String is made by taken the zero element (first member) of each inner array.
To get the next combination the counter array is incremented by one. So the least-significant counter index is increased by one. If this causes its value to become equal to the length of the inner array it represents then the index is zeroed, and the next index of greater significance is increased. A separate size array stores the length of each inner array, so that the counter array loop knows when an index has reached its maximum.
For example, if the size array was:
[3][3][2][1]
and the counter array was at:
[0][2][1][0]
then the increment would make the least significant (right-most) index equal to 1, which is its maximum value. So that index gets zeroed and the next index of greater significance (the second-from-right) gets increased to 2. But that is also the maximum of that index, so it gets zeroed and we move to the next index of greater significance. That gets increased to three, which is its maximum value so it gets zeroed and we move to the most significant (left-most) index. That gets increased to 1, which is less than its maximum so the incremented counter array becomes:
[1][0][0][0]
Which means the next String combination is made by taking the second member of the first inner array, and the first member of the next three inner arrays.
I wrote this just now in about forty minutes, and it's half-one in the morning, which means that even though it seems to do exactly what is needed, there are very likely bugs or bits of code which could be optimised. So be sure to unit test it thoroughly if its performance is critical.
Note that it returns a List rather than a String array because I think that Java Collections are vastly preferable to using arrays in most cases. Also, if you need a result set with no duplicates, you can simply change the List to a Set which will automatically drop duplicates and leave you with a unique set.
If you really need the result as a String array, don't forget you can use the List<String>.toArray(String[])
method to simply convert the returned List to what you need.
In Python one uses itertools.product and argument unpacking (apply)
>>> import itertools
>>> S=[['1','2','3'],['A','B'],['!']]
>>> ["".join(x) for x in itertools.product(*S)]
['1A!', '1B!', '2A!', '2B!', '3A!', '3B!']
Should be straight forward to do with recursion.
Let me rephrase a bit, so the terminology is less confusing.
We will call String[] as Token List, which is a list of Tokens
Now you have a List of Token List, you want to get one Token from each Token List available, and find out all combination.
What you need to do is, given a list of TokenList
I am only giving a psuedo code:
List<String> allCombinations(List<TokenList> listOfTokenList) {
if (length of strings == 1) {
return strings[0];
}
List<String> subListCombinations
= allCombination(listOfTokenList.subList(1)); // sublist from index 1 to the end
List<String> result;
for each (token in listOfTokenList[0]) {
for each (s in subListCombination) {
result.add(token + s);
}
}
return result;
}
I have been struggling with this problem for some time. But I finally solved it. My main obstacle was the SCOPE I used for declaring each variable. If you do not declare your variables in the correct scope, then the variable will retain changes made in the previous iteration.
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class RecursiveAlgorithmTest {
private static int recursiveCallsCounter = 0;
public static ArrayList<ArrayList<String>> testCases = new ArrayList<ArrayList<String>>();
/**
* @param args the command line arguments
*/
public static void main(String[] args) {
//set values for ArrayOfArrays
ArrayList<String> VariableA = new ArrayList<String>(Arrays.asList("red", "green"));
ArrayList<String> VariableB = new ArrayList<String>(Arrays.asList("A", "B", "C"));
ArrayList<String> VariableC = new ArrayList<String>(Arrays.asList("1", "2", "3", "4"));
ArrayList<ArrayList<String>> AofA = new ArrayList<ArrayList<String>>();
AofA.add(VariableA); AofA.add(VariableB); AofA.add(VariableC);
System.out.println("Array of Arrays: ToString(): " +AofA.toString());
ArrayList<String> optionsList = new ArrayList<String>();
//recursive call
recurse(optionsList, AofA, 0);
for (int i = 0 ; i < testCases.size() ; i++) {
System.out.println("Test Case " + (i+1) + ": " + testCases.get(i));
}
}//end main(String args[])
private static void recurse(ArrayList<String> newOptionsList,
ArrayList<ArrayList<String>> newAofA, int placeHolder){
recursiveCallsCounter++;
System.out.println("\n\tStart of Recursive Call: " + recursiveCallsCounter);
System.out.println("\tOptionsList: " + newOptionsList.toString());
System.out.println("\tAofA: " + newAofA.toString());
System.out.println("\tPlaceHolder: "+ placeHolder);
//check to see if we are at the end of all TestAspects
if(placeHolder < newAofA.size()){
//remove the first item in the ArrayOfArrays
ArrayList<String> currentAspectsOptions = newAofA.get(placeHolder);
//iterate through the popped off options
for (int i=0 ; i<currentAspectsOptions.size();i++){
ArrayList<String> newOptions = new ArrayList<String>();
//add all the passed in options to the new object to pass on
for (int j=0 ; j < newOptionsList.size();j++) {
newOptions.add(newOptionsList.get(j));
}
newOptions.add(currentAspectsOptions.get(i));
int newPlaceHolder = placeHolder + 1;
recurse(newOptions,newAofA, newPlaceHolder);
}
} else { // no more arrays to pop off
ArrayList<String> newTestCase = new ArrayList<String>();
for (int i=0; i < newOptionsList.size();i++){
newTestCase.add(newOptionsList.get(i));
}
System.out.println("\t### Adding: "+newTestCase.toString());
testCases.add(newTestCase);
}
}//end recursive helper
}// end of test class
This problem has a very nice recursive structure to it (which also means it could explode in memory, the correct way should be using iterators such as the other answer, but this solution looks nicer imo and we can prove correctness inductively because of the recursive nature). A combination consists of an element from the first list attached to all possible combinations formed from the remaining (n-1) lists. The recursive work is done in AllCombinationsHelper, but you invoke AllCombinations. Note to test for empty lists and more extensively.
public static List<String> AllCombinations(List<List<Character>> aList) {
if(aList.size() == 0) { return new ArrayList<String>(); }
List<Character> myFirstSubList = aList.remove(0);
List<String> myStrings = new ArrayList<String>();
for(Character c : myFirstSubList) {
myStrings.add(c.toString());
}
return AllCombinationsHelper(aList, myStrings);
}
public static List<String> AllCombinationsHelper(List<List<Character>> aList,
List<String> aCollection) {
if(aList.size() == 0) { return aCollection; }
List<Character> myFirstList = aList.remove(0);
List<String> myReturnSet = new ArrayList<String>();
for(String s : aCollection) {
for(Character c : myFirstList) {
myReturnSet.add(c + s);
}
}
return AllCombinationsHelper(aList, myReturnSet);
}