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Trie of all Suffixes
From the text, we can generate all suffixes to make a tree structure. We know that every pattern that presents in the text, must be a prefix of one of the possible suffix in the text. By building Trie of all suffixes, we can find any substring in linear time. Every suffix is ending with string terminating symbol. From each node if there is any path, it moves forward, otherwise returns that pattern is not found.
For this algorithm, the time complexity is O(m+k), where the m is the length of string and k is the frequency of the pattern in the text.
Input and Output
Input: Main String: “ABAAABCDBBABCDDEBCABC”. Pattern “ABC” Output: Pattern found at position: 4 Pattern found at position: 10 Pattern found at position: 18
Algorithm
In this algorithm, we will use a special node, called a trie node. It will hold indexes of all suffixes and another trie nodes address as a link.
createTrie(root: trieNode, text)
Input: A root node of type trieNode.
Output: The suffix tree using the main string
Begin for i := 0 to length of text, do substring from ith position to end as suffix, and add in index i in tire. done End
findPat(pattern, node)
Input: pattern to find and node, which is used to check in its suffix subtrees
Output − The index list where the pattern was found
Begin if pattern size is 0, then return suffIndex of node if node.suff[patten[0]] ≠φ, then return node.suff[pattern[0]].findPat(substring from 1 to end o pattern) else return φ End
searchPat(pattern)
Input − The pattern which will be searched
Output − The list where indexes of text, where the pattern was found
Begin define res as list. res := findPat(pattern) if res ≠φ, then patLen := length of pattern for i := 0 to end of res list, do print all indexes where pattern was found done End
Example
#include<iostream>
#include<list>
#define MAXCHAR 256
using namespace std;
class trieNode { //node to hold all suffixes
private:
trieNode *suff[MAXCHAR];
list<int> *suffIndex;
public:
trieNode() {
suffIndex = new list<int>;
for (int i = 0; i < MAXCHAR; i++)
suff[i] = NULL; //no child initially
}
void addSuffix(string suffix, int sIndex);
list<int>* searchPattern(string pat);
};
void trieNode::addSuffix(string suffix, int sIndex) {
suffIndex->push_back(sIndex); //store index initially
if (suffix.size() > 0) {
char cIndex = suffix[0];
if (suff[cIndex] == NULL) //if no sub tree present for this character
suff[cIndex] = new trieNode(); //create new node
suff[cIndex]->addSuffix(suffix.substr(1), sIndex+1); //for next suffix
}
}
list<int>* trieNode::searchPattern(string pattern) {
if (pattern.size() == 0)
return suffIndex;
if (suff[pattern[0]] != NULL)
return (suff[pattern[0]])->searchPattern(pattern.substr(1)); //follow to next node
else
return NULL; //when no node are there to jump
}
class trieSuffix { //trie for all suffixes
trieNode root;
public:
trieSuffix(string mainString) { //add suffixes and make trie
for (int i = 0; i < mainString.length(); i++)
root.addSuffix(mainString.substr(i), i);
}
void searchPat(string pattern, int *locArray, int *index);
};
void trieSuffix::searchPat(string pattern, int *locArray, int *index) {
list<int> *res = root.searchPattern(pattern);
// Check if the list of indexes is empty or not
if (res != NULL) {
list<int>::iterator it;
int patLen = pattern.length();
for (it = res->begin(); it != res->end(); it++) {
(*index)++;
locArray[(*index)] = *it - patLen;
}
}
}
int main() {
string mainString = "ABAAABCDBBABCDDEBCABC";
string pattern = "ABC";
int locArray[mainString.size()];
int index = -1;
trieSuffix trie(mainString);
trie.searchPat(pattern, locArray, &index);
for(int i = 0; i <= index; i++) {
cout << "Pattern found at position: " << locArray[i]<<endl;
}
}Output
Pattern found at position: 4 Pattern found at position: 10 Pattern found at position: 18
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