# Count of distinct substrings of a string using Suffix Trie

Given a string of length n of lowercase alphabet characters, we need to count total number of distinct substrings of this string.
Examples:

Input  : str = “ababa”
Output : 10
Total number of distinct substring are 10, which are,
"", "a", "b", "ab", "ba", "aba", "bab", "abab", "baba"
and "ababa"

## Recommended: Please solve it on “PRACTICE ” first, before moving on to the solution.

The idea is create a Trie of all suffixes of given string. Once the Trie is constricted, our answer is total number of nodes in the constructed Trie. For example below diagram represent Trie of all suffixes for “ababa”. Total number of nodes is 10 which is our answer.

How does this work?

• Each root to node path of a Trie represents a prefix of words present in Trie. Here we words are suffixes. So each node represents a prefix of suffixes.
• Every substring of a string “str” is a prefix of a suffix of “str”.

Below is implementation based on above idea.

## C++

// A C++ program to find the count of distinct substring
// of a string using trie data structure
#include <bits/stdc++.h>
#define MAX_CHAR 26
using namespace std;

// A Suffix Trie (A Trie of all suffixes) Node
class SuffixTrieNode
{
public:
SuffixTrieNode *children[MAX_CHAR];
SuffixTrieNode() // Constructor
{
// Initialize all child pointers as NULL
for (int i = 0; i < MAX_CHAR; i++)
children[i] = NULL;
}

// A recursive function to insert a suffix of the s
// in subtree rooted with this node
void insertSuffix(string suffix);
};

// A Trie of all suffixes
class SuffixTrie
{
SuffixTrieNode *root;
int _countNodesInTrie(SuffixTrieNode *);
public:
// Constructor (Builds a trie of suffies of the given text)
SuffixTrie(string s)
{
root = new SuffixTrieNode();

// Consider all suffixes of given string and insert
// them into the Suffix Trie using recursive function
// insertSuffix() in SuffixTrieNode class
for (int i = 0; i < s.length(); i++)
root->insertSuffix(s.substr(i));
}

//  method to count total nodes in suffix trie
int countNodesInTrie() { return _countNodesInTrie(root); }
};

// A recursive function to insert a suffix of the s in
// subtree rooted with this node
void SuffixTrieNode::insertSuffix(string s)
{
// If string has more characters
if (s.length() > 0)
{
// Find the first character and convert it
// into 0-25 range.
char cIndex = s.at(0) - 'a';

// If there is no edge for this character,
// add a new edge
if (children[cIndex] == NULL)
children[cIndex] = new SuffixTrieNode();

// Recur for next suffix
children[cIndex]->insertSuffix(s.substr(1));
}
}

// A recursive function to count nodes in trie
int SuffixTrie::_countNodesInTrie(SuffixTrieNode* node)
{
// If all characters of pattern have been processed,
if (node == NULL)
return 0;

int count = 0;
for (int i = 0; i < MAX_CHAR; i++)
{
// if children is not NULL then find count
// of all nodes in this subtrie
if (node->children[i] != NULL)
count += _countNodesInTrie(node->children[i]);
}

// return count of nodes of subtrie and plus
// 1 because of node's own count
return (1 + count);
}

// Returns count of distinct substrings of str
int countDistinctSubstring(string str)
{
// Construct a Trie of all suffixes
SuffixTrie sTrie(str);

// Return count of nodes in Trie of Suffixes
return sTrie.countNodesInTrie();
}

// Driver program to test above function
int main()
{
string str = "ababa";
cout << "Count of distinct substrings is "
<< countDistinctSubstring(str);
return 0;
}

## Java

// A Java program to find the count of distinct substring
// of a string using trie data structure
public class Suffix
{
// A Suffix Trie (A Trie of all suffixes) Node
static class SuffixTrieNode
{
static final int MAX_CHAR = 26;
SuffixTrieNode[] children = new SuffixTrieNode[MAX_CHAR];

SuffixTrieNode() // Constructor
{
// Initialize all child pointers as NULL
for (int i = 0; i < MAX_CHAR; i++)
children[i] = null;
}

// A recursive function to insert a suffix of the s in
// subtree rooted with this node
void insertSuffix(String s)
{
// If string has more characters
if (s.length() > 0)
{
// Find the first character and convert it
// into 0-25 range.
char cIndex = (char) (s.charAt(0) - 'a');

// If there is no edge for this character,
// add a new edge
if (children[cIndex] == null)
children[cIndex] = new SuffixTrieNode();

// Recur for next suffix
children[cIndex].insertSuffix(s.substring(1));
}
}
}

// A Trie of all suffixes
static class Suffix_trie
{
static final int MAX_CHAR = 26;
SuffixTrieNode root;

// Constructor (Builds a trie of suffies of the given text)
Suffix_trie(String s) {
root = new SuffixTrieNode();

// Consider all suffixes of given string and insert
// them into the Suffix Trie using recursive function
// insertSuffix() in SuffixTrieNode class
for (int i = 0; i < s.length(); i++)
root.insertSuffix(s.substring(i));
}

// A recursive function to count nodes in trie
int _countNodesInTrie(SuffixTrieNode node)
{
// If all characters of pattern have been processed,
if (node == null)
return 0;

int count = 0;
for (int i = 0; i < MAX_CHAR; i++) {

// if children is not NULL then find count
// of all nodes in this subtrie
if (node.children[i] != null)
count += _countNodesInTrie(node.children[i]);
}

// return count of nodes of subtrie and plus
// 1 because of node's own count
return (1 + count);
}

// method to count total nodes in suffix trie
int countNodesInTrie()
{
return _countNodesInTrie(root);
}

}

// Returns count of distinct substrings of str
static int countDistinctSubstring(String str)
{
// Construct a Trie of all suffixes
Suffix_trie sTrie = new Suffix_trie(str);

// Return count of nodes in Trie of Suffixes
return sTrie.countNodesInTrie();
}

// Driver program to test above function
public static void main(String args[])
{
String str = "ababa";
System.out.println("Count of distinct substrings is "
+ countDistinctSubstring(str));

}
}
// This code is contributed by Sumit Ghosh

Output:

Count of distinct substrings is 10

We will soon be discussing Suffix Array and Suffix Tree based approaches for this problem.

This article is contributed by Utkarsh Trivedi. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

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