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- DSA - Tries
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Tries Data Structure
A trie is a type of a multi-way search tree, which is fundamentally used to retrieve specific keys from a string or a set of strings. It stores the data in an ordered efficient way since it uses pointers to every letter within the alphabet.
The trie data structure works based on the common prefixes of strings. The root node can have any number of nodes considering the amount of strings present in the set. The root of a trie does not contain any value except the pointers to its child nodes.
There are three types of trie data structures −
Standard Tries
Compressed Tries
Suffix Tries
The real-world applications of trie include − autocorrect, text prediction, sentiment analysis and data sciences.
Basic Operations in Tries
The trie data structures also perform the same operations that tree data structures perform. They are −
Insertion
Deletion
Search
Insertion operation
The insertion operation in a trie is a simple approach. The root in a trie does not hold any value and the insertion starts from the immediate child nodes of the root, which act like a key to their child nodes. However, we observe that each node in a trie represents a singlecharacter in the input string. Hence the characters are added into the tries one by one while the links in the trie act as pointers to the next level nodes.
Example
Following are the implementations of this operation in various programming languages −
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#define ALPHABET_SIZE 26
struct TrieNode {
struct TrieNode* children[ALPHABET_SIZE];
int isEndOfWord;
};
struct Trie {
struct TrieNode* root;
};
struct TrieNode* createNode() {
struct TrieNode* node = (struct TrieNode*)malloc(sizeof(struct TrieNode));
node->isEndOfWord = 0;
for (int i = 0; i < ALPHABET_SIZE; i++) {
node->children[i] = NULL;
}
return node;
}
void insert(struct Trie* trie, const char* key) {
struct TrieNode* curr = trie->root;
for (int i = 0; i < strlen(key); i++) {
int index = key[i] - 'a';
if (curr->children[index] == NULL) {
curr->children[index] = createNode();
}
curr = curr->children[index];
}
curr->isEndOfWord = 1;
}
void printWords(struct TrieNode* node, char* prefix) {
if (node->isEndOfWord) {
printf("%s\n", prefix);
}
for (int i = 0; i < ALPHABET_SIZE; i++) {
if (node->children[i] != NULL) {
char* newPrefix = (char*)malloc(strlen(prefix) + 2);
strcpy(newPrefix, prefix);
newPrefix[strlen(prefix)] = 'A' + i;
newPrefix[strlen(prefix) + 1] = '\0';
printWords(node->children[i], newPrefix);
free(newPrefix);
}
}
}
int main() {
struct Trie car;
car.root = createNode();
insert(&car, "lamborghini");
insert(&car, "mercedes-Benz");
insert(&car, "land Rover");
insert(&car, "maruti Suzuki");
printf("Trie elements are:\n");
printWords(car.root, "");
return 0;
}
Output
Trie elements are: LAMBORGHINI LANDNOVER MARUTIOUZUKI MERCEZENZ
#include <iostream>
#include <unordered_map>
#include <string>
class TrieNode {
public:
std::unordered_map<char, TrieNode*> children;
bool isEndOfWord;
TrieNode() {
isEndOfWord = false;
}
};
class Trie {
private:
TrieNode* root;
public:
Trie() {
root = new TrieNode();
}
void insert(std::string word) {
TrieNode* curr = root;
for (char ch : word) {
if (curr->children.find(ch) == curr->children.end()) {
curr->children[ch] = new TrieNode();
}
curr = curr->children[ch];
}
curr->isEndOfWord = true;
}
TrieNode* getRoot() {
return root;
}
};
void printWords(TrieNode* node, std::string prefix) {
if (node->isEndOfWord) {
std::cout << prefix << std::endl;
}
for (auto entry : node->children) {
printWords(entry.second, prefix + entry.first);
}
}
int main() {
Trie car;
car.insert("Lamborghini");
car.insert("Mercedes-Benz");
car.insert("Land Rover");
car.insert("Maruti Suzuki");
std::cout << "Tries elements are: " << std::endl;
printWords(car.getRoot(), "");
return 0;
}
Output
Tries elements are: Maruti Suzuki Mercedes-Benz Land Rover Lamborghini
import java.util.HashMap;
import java.util.Map;
class TrieNode {
Map<Character, TrieNode> children;
boolean isEndOfWord;
TrieNode() {
children = new HashMap<>();
isEndOfWord = false;
}
}
class Trie {
private TrieNode root;
Trie() {
root = new TrieNode();
}
void insert(String word) {
TrieNode curr = root;
for (char ch : word.toCharArray()) {
curr.children.putIfAbsent(ch, new TrieNode());
curr = curr.children.get(ch);
}
curr.isEndOfWord = true;
}
TrieNode getRoot() {
return root;
}
}
public class Main {
public static void printWords(TrieNode node, String prefix) {
if (node.isEndOfWord) {
System.out.println(prefix);
}
for (Map.Entry<Character, TrieNode> entry : node.children.entrySet()) {
printWords(entry.getValue(), prefix + entry.getKey());
}
}
public static void main(String[] args) {
Trie car = new Trie();
// Inserting the elements
car.insert("Lamborghini");
car.insert("Mercedes-Benz");
car.insert("Land Rover");
car.insert("Maruti Suzuki");
// Print the inserted objects
System.out.print("Tries elements are: \n");
printWords(car.getRoot(), ""); // Access root using the public method
}
}
Output
Tries elements are: Lamborghini Land Rover Maruti Suzuki Mercedes-Benz
class TrieNode:
def __init__(self):
self.children = {}
self.isEndOfWord = False
class Trie:
def __init__(self):
self.root = TrieNode()
def insert(self, word):
curr = self.root
for ch in word:
curr.children.setdefault(ch, TrieNode())
curr = curr.children[ch]
curr.isEndOfWord = True
def getRoot(self):
return self.root
def printWords(node, prefix):
if node.isEndOfWord:
print(prefix)
for ch, child in node.children.items():
printWords(child, prefix + ch)
if __name__ == '__main__':
car = Trie()
# Inserting the elements
car.insert("Lamborghini")
car.insert("Mercedes-Benz")
car.insert("Land Rover")
car.insert("Maruti Suzuki")
# Print the inserted objects
print("Tries elements are: ")
printWords(car.getRoot(), "")
Output
Tries elements are: Lamborghini Land Rover Mercedes-Benz Maruti Suzuki
Deletion operation
The deletion operation in a trie is performed using the bottom-up approach. The element is searched for in a trie and deleted, if found. However, there are some special scenarios that need to be kept in mind while performing the deletion operation.
Case 1 − The key is unique − in this case, the entire key path is deleted from the node. (Unique key suggests that there is no other path that branches out from one path).
Case 2 − The key is not unique − the leaf nodes are updated. For example, if the key to be deleted is see but it is a prefix of another key seethe; we delete the see and change the Boolean values of t, h and e as false.
Case 3 − The key to be deleted already has a prefix − the values until the prefix are deleted and the prefix remains in the tree. For example, if the key to be deleted is heart but there is another key present he; so we delete a, r, and t until only he remains.
Example
Following are the implementations of this operation in various programming languages −
//C code for Deletion Operation of tries Algorithm
#include <stdio.h>
#include <stdlib.h>
#include <stdbool.h>
#include <string.h>
//Define size 26
#define ALPHABET_SIZE 26
struct TrieNode {
struct TrieNode* children[ALPHABET_SIZE];
bool isEndOfWord;
};
struct Trie {
struct TrieNode* root;
};
struct TrieNode* createNode() {
struct TrieNode* node = (struct TrieNode*)malloc(sizeof(struct TrieNode));
node->isEndOfWord = false;
for (int i = 0; i < ALPHABET_SIZE; i++) {
node->children[i] = NULL;
}
return node;
}
void insert(struct Trie* trie, const char* key) {
struct TrieNode* curr = trie->root;
for (int i = 0; i < strlen(key); i++) {
int index = key[i] - 'a';
if (curr->children[index] == NULL) {
curr->children[index] = createNode();
}
curr = curr->children[index];
}
curr->isEndOfWord = 1;
}
bool search(struct TrieNode* root, char* word) {
struct TrieNode* curr = root;
for (int i = 0; word[i] != '\0'; i++) {
int index = word[i] - 'a';
if (curr->children[index] == NULL) {
return false;
}
curr = curr->children[index];
}
return (curr != NULL && curr->isEndOfWord);
}
bool startsWith(struct TrieNode* root, char* prefix) {
struct TrieNode* curr = root;
for (int i = 0; prefix[i] != '\0'; i++) {
int index = prefix[i] - 'a';
if (curr->children[index] == NULL) {
return false;
}
curr = curr->children[index];
}
return true;
}
bool deleteWord(struct TrieNode* root, char* word) {
struct TrieNode* curr = root;
struct TrieNode* parent = NULL;
int index;
for (int i = 0; word[i] != '\0'; i++) {
index = word[i] - 'a';
if (curr->children[index] == NULL) {
return false; // Word does not exist in the Trie
}
parent = curr;
curr = curr->children[index];
}
if (!curr->isEndOfWord) {
return false; // Word does not exist in the Trie
}
curr->isEndOfWord = false; // Mark as deleted
if (parent != NULL) {
parent->children[index] = NULL; // Remove the child node
}
return true;
}
void printWords(struct TrieNode* node, char* prefix) {
if (node->isEndOfWord) {
printf("%s\n", prefix);
}
for (int i = 0; i < ALPHABET_SIZE; i++) {
if (node->children[i] != NULL) {
char* newPrefix = (char*)malloc(strlen(prefix) + 2);
strcpy(newPrefix, prefix);
newPrefix[strlen(prefix)] = 'a' + i;
newPrefix[strlen(prefix) + 1] = '\0';
printWords(node->children[i], newPrefix);
free(newPrefix);
}
}
}
int main() {
struct Trie car;
car.root = createNode();
insert(&car, "lamborghini");
insert(&car, "mercedes-Benz");
insert(&car, "landrover");
insert(&car, "maruti Suzuki");
//Before Deletion
printf("Tries elements before deletion: \n");
printWords(car.root, "");
//Deleting the elements
char* s1 = "lamborghini";
char* s2 = "landrover";
printf("Elements to be deleted are: %s and %s", s1, s2);
deleteWord(car.root, s1);
deleteWord(car.root, s2);
//After Deletion
printf("\nTries elements before deletion: \n");
printWords(car.root, "");
}
Output
Tries elements before deletion: lamborghini landrover marutiouzuki mercezenz Elements to be deleted are: lamborghini and landrover Tries elements before deletion: marutiouzuki mercezenz
//C++ code for Deletion operation of tries algorithm
#include <iostream>
#include <unordered_map>
using namespace std;
class TrieNode {
public:
unordered_map<char, TrieNode*> children;
bool isEndOfWord;
TrieNode() {
isEndOfWord = false;
}
};
class Trie {
private:
TrieNode* root;
public:
Trie() {
root = new TrieNode();
}
void insert(string word) {
TrieNode* curr = root;
for (char ch : word) {
if (curr->children.find(ch) == curr->children.end()) {
curr->children[ch] = new TrieNode();
}
curr = curr->children[ch];
}
curr->isEndOfWord = true;
}
TrieNode* getRoot() {
return root;
}
bool deleteWord(string word) {
return deleteHelper(root, word, 0);
}
private:
bool deleteHelper(TrieNode* curr, string word, int index) {
if (index == word.length()) {
if (!curr->isEndOfWord) {
return false; // Word does not exist in the Trie
}
curr->isEndOfWord = false; // Mark as deleted
return curr->children.empty(); // Return true if no more children
}
char ch = word[index];
if (curr->children.find(ch) == curr->children.end()) {
return false; // Word does not exist in the Trie
}
TrieNode* child = curr->children[ch];
bool shouldDeleteChild = deleteHelper(child, word, index + 1);
if (shouldDeleteChild) {
curr->children.erase(ch); // Remove the child node if necessary
return curr->children.empty(); // Return true if no more children
}
return false;
}
};
void printWords(TrieNode* node, std::string prefix) {
if (node->isEndOfWord) {
std::cout << prefix << std::endl;
}
for (auto entry : node->children) {
printWords(entry.second, prefix + entry.first);
}
}
int main() {
Trie car;
//inserting the elemnets
car.insert("Lamborghini");
car.insert("Mercedes-Benz");
car.insert("Land Rover");
car.insert("Maruti Suzuki");
//Before Deletion
cout <<"Tries elements before deletion: \n";
printWords(car.getRoot(), "");
//Deleting elements using deletion operation
string s1 = "Lamborghini";
string s2 = "Land Rover";
cout<<"Elements to be deleted are: \n"<<s1<<" and "<<s2;
car.deleteWord("Lamborghini");
car.deleteWord("Land Rover");
//After Deletion
cout << "\nTries elements after deletion: \n";
printWords(car.getRoot(), "");
}
Output
Tries elements before deletion: Maruti Suzuki Mercedes-Benz Land Rover Lamborghini Elements to be deleted are: Lamborghini and Land Rover Tries elements after deletion: Maruti Suzuki Mercedes-Benz
//Java code for Deletion operator of tries algotrithm
import java.util.HashMap;
import java.util.Map;
class TrieNode {
Map<Character, TrieNode> children;
boolean isEndOfWord;
TrieNode() {
children = new HashMap<>();
isEndOfWord = false;
}
}
class Trie {
private TrieNode root;
Trie() {
root = new TrieNode();
}
void insert(String word) {
TrieNode curr = root;
for (char ch : word.toCharArray()) {
curr.children.putIfAbsent(ch, new TrieNode());
curr = curr.children.get(ch);
}
curr.isEndOfWord = true;
}
TrieNode getRoot() {
return root;
}
boolean delete(String word) {
return deleteHelper(root, word, 0);
}
private boolean deleteHelper(TrieNode curr, String word, int index) {
if (index == word.length()) {
if (!curr.isEndOfWord) {
return false; // Word does not exist in the Trie
}
curr.isEndOfWord = false; // Mark as deleted
return curr.children.isEmpty(); // Return true if no more children
}
char ch = word.charAt(index);
if (!curr.children.containsKey(ch)) {
return false; // Word does not exist in the Trie
}
TrieNode child = curr.children.get(ch);
boolean shouldDeleteChild = deleteHelper(child, word, index + 1);
if (shouldDeleteChild) {
curr.children.remove(ch); // Remove the child node if necessary
return curr.children.isEmpty(); // Return true if no more children
}
return false;
}
}
public class Main {
public static void printWords(TrieNode node, String prefix) {
if (node.isEndOfWord) {
System.out.println(prefix);
}
for (Map.Entry<Character, TrieNode> entry : node.children.entrySet()) {
printWords(entry.getValue(), prefix + entry.getKey());
}
}
public static void main(String[] args) {
Trie car = new Trie();
//Inserting the elements
car.insert("Lamborghini");
car.insert("Mercedes-Benz");
car.insert("Land Rover");
car.insert("Maruti Suzuki");
//Before Deletion
System.out.println("Tries elements before deletion: ");
printWords(car.getRoot(), "");
String s1 = "Lamborghini";
String s2 = "Land Rover";
System.out.print("Element to be deleted are: \n" + s1 + " and " + s2);
car.delete(s1);
car.delete(s2);
System.out.println("\nTries elements after deletion: ");
printWords(car.getRoot(), "");
}
}
Output
Tries elements before deletion: Lamborghini Land Rover Maruti Suzuki Mercedes-Benz Element to be deleted are: Lamborghini and Land Rover Tries elements after deletion: Maruti Suzuki Mercedes-Benz
#python Code for Deletion operation of tries algorithm
class TrieNode:
def __init__(self):
self.children = {}
self.isEndOfWord = False
class Trie:
def __init__(self):
self.root = TrieNode()
def insert(self, word):
curr = self.root
for ch in word:
if ch not in curr.children:
curr.children[ch] = TrieNode()
curr = curr.children[ch]
curr.isEndOfWord = True
def search(self, word):
curr = self.root
for ch in word:
if ch not in curr.children:
return False
curr = curr.children[ch]
return curr.isEndOfWord
def startsWith(self, prefix):
curr = self.root
for ch in prefix:
if ch not in curr.children:
return False
curr = curr.children[ch]
return True
def delete(self, word):
return self.deleteHelper(self.root, word, 0)
def deleteHelper(self, curr, word, index):
if index == len(word):
if not curr.isEndOfWord:
return False # Word does not exist in the Trie
curr.isEndOfWord = False # Mark as deleted
return len(curr.children) == 0 # Return True if no more children
ch = word[index]
if ch not in curr.children:
return False # Word does not exist in the Trie
child = curr.children[ch]
shouldDeleteChild = self.deleteHelper(child, word, index + 1)
if shouldDeleteChild:
del curr.children[ch] # Remove the child node if necessary
return len(curr.children) == 0 # Return True if no more children
return False
def getRoot(self):
return self.root
def printWords(node, prefix):
if node.isEndOfWord:
print(prefix)
for ch, child in node.children.items():
printWords(child, prefix + ch)
trie = Trie()
#inserting the elements
trie.insert("Lamborghini")
trie.insert("Mercedes-Benz")
trie.insert("Land Rover")
trie.insert("Maruti Suzuki")
#Before Deletion
print("Tries elements before deletion: ")
printWords(trie.getRoot(), "")
#deleting the elements using Deletion operation
s1 = "Lamborghini"
s2 = "Land Rover"
print("Elements to be deleted are:\n",s1 ,"and",s2)
trie.delete(s1)
trie.delete(s2)
print("Tries elements after deletion: ")
printWords(trie.getRoot(), "")
Output
Tries elements before deletion: Lamborghini Land Rover Mercedes-Benz Maruti Suzuki Elements to be deleted are: Lamborghini and Land Rover Tries elements after deletion: Mercedes-Benz Maruti Suzuki
Search operation
Searching in a trie is a rather straightforward approach. We can only move down the levels of trie based on the key node (the nodes where insertion operation starts at). Searching is done until the end of the path is reached. If the element is found, search is successful; otherwise, search is prompted unsuccessful.
Example
Following are the implementations of this operation in various programming languages −
//C program for search operation of tries algorithm
#include <stdio.h>
#include <stdlib.h>
#include <stdbool.h>
#define ALPHABET_SIZE 26
struct TrieNode {
struct TrieNode* children[ALPHABET_SIZE];
bool isEndOfWord;
};
struct TrieNode* createNode() {
struct TrieNode* node = (struct TrieNode*)malloc(sizeof(struct TrieNode));
node->isEndOfWord = false;
for (int i = 0; i < ALPHABET_SIZE; i++) {
node->children[i] = NULL;
}
return node;
}
void insert(struct TrieNode* root, char* word) {
struct TrieNode* curr = root;
for (int i = 0; word[i] != '\0'; i++) {
int index = word[i] - 'a';
if (curr->children[index] == NULL) {
curr->children[index] = createNode();
}
curr = curr->children[index];
}
curr->isEndOfWord = true;
}
bool search(struct TrieNode* root, char* word) {
struct TrieNode* curr = root;
for (int i = 0; word[i] != '\0'; i++) {
int index = word[i] - 'a';
if (curr->children[index] == NULL) {
return false;
}
curr = curr->children[index];
}
return (curr != NULL && curr->isEndOfWord);
}
bool startsWith(struct TrieNode* root, char* prefix) {
struct TrieNode* curr = root;
for (int i = 0; prefix[i] != '\0'; i++) {
int index = prefix[i] - 'a';
if (curr->children[index] == NULL) {
return false;
}
curr = curr->children[index];
}
return true;
}
int main() {
struct TrieNode* root = createNode();
//inserting the elements
insert(root, "Lamborghini");
insert(root, "Mercedes-Benz");
insert(root, "Land Rover");
insert(root, "Maruti Suzuki");
//Searching elements
printf("Searching Cars\n");
//Printing searched elements
printf("Found? %d\n", search(root, "Lamborghini")); // Output: 1 (true)
printf("Found? %d\n", search(root, "Mercedes-Benz")); // Output: 1 (true)
printf("Found? %d\n", search(root, "Honda")); // Output: 0 (false)
printf("Found? %d\n", search(root, "Land Rover")); // Output: 1 (true)
printf("Found? %d\n", search(root, "BMW")); // Output: 0 (false)
//Searching the elements the name starts with?
printf("Cars name starts with\n");
//Printing the elements
printf("Does car name starts with 'Lambo'? %d\n", startsWith(root, "Lambo")); // Output: 1 (true)
printf("Does car name starts with 'Hon'? %d\n", startsWith(root, "Hon")); // Output: 0 (false)
printf("Does car name starts with 'Hy'? %d\n", startsWith(root, "Hy")); // Output: 0 (false)
printf("Does car name starts with 'Mar'? %d\n", startsWith(root, "Mar")); // Output: 1 (true)
printf("Does car name starts with 'Land'? %d\n", startsWith(root, "Land")); // Output: 1 (true)
return 0;
}
Output
Searching Cars Found? 1 Found? 1 Found? 0 Found? 1 Found? 0 Cars name starts with Does car name starts with 'Lambo'? 1 Does car name starts with 'Hon'? 0 Does car name starts with 'Hy'? 0 Does car name starts with 'Mar'? 1 Does car name starts with 'Land'? 1
//C++ code for Search operation of tries algorithm
#include <iostream>
#include <unordered_map>
using namespace std;
class TrieNode {
public:
unordered_map<char, TrieNode*> children;
bool isEndOfWord;
TrieNode() {
isEndOfWord = false;
}
};
class Trie {
private:
TrieNode* root;
public:
Trie() {
root = new TrieNode();
}
void insert(string word) {
TrieNode* curr = root;
for (char ch : word) {
if (curr->children.find(ch) == curr->children.end()) {
curr->children[ch] = new TrieNode();
}
curr = curr->children[ch];
}
curr->isEndOfWord = true;
}
TrieNode* getRoot() {
return root;
}
bool search(string word) {
TrieNode* curr = root;
for (char ch : word) {
if (curr->children.find(ch) == curr->children.end()) {
return false;
}
curr = curr->children[ch];
}
return curr->isEndOfWord;
}
bool startsWith(string prefix) {
TrieNode* curr = root;
for (char ch : prefix) {
if (curr->children.find(ch) == curr->children.end()) {
return false;
}
curr = curr->children[ch];
}
return true;
}
};
void printWords(TrieNode* node, std::string prefix) {
if (node->isEndOfWord) {
std::cout << prefix << std::endl;
}
for (auto entry : node->children) {
printWords(entry.second, prefix + entry.first);
}
}
int main() {
Trie car;
//inserting the elements
car.insert("Lamborghini");
car.insert("Mercedes-Benz");
car.insert("Land Rover");
car.insert("Maruti Suzuki");
cout<<"Tries elements are: "<<endl;
printWords(car.getRoot(), "");
//searching elements
cout<<"Searching Cars"<< endl;
// Printing searched elements in Boolean expression
cout << "Found? "<<car.search("Lamborghini") << endl; // Output: 1 (true)
cout << "Found? "<<car.search("Mercedes-Benz") << endl; // Output: 1 (true)
cout << "Found? "<<car.search("Honda") << endl; // Output: 0 (false)
cout << "Found? "<<car.search("Land Rover") << endl; // Output: 1 (true)
cout << "Found? "<<car.search("BMW") << endl; // Output: 0 (false)
//searching names starts with?
cout<<"Cars name starts with" << endl;
//Printing the elements
cout << "Does car name starts with 'Lambo'? "<<car.startsWith("Lambo") << endl; // Output: 1 (true)
cout << "Does car name starts with 'Hon'? "<< car.startsWith("Hon") << endl; // Output: 0 (false)
cout << "Does car name starts with 'Hy'? "<< car.startsWith("Hy") << endl; // Output: 0 (false)
cout << "Does car name starts with 'Mer'? "<< car.startsWith("Mar") << endl; // Output: 1 (true)
cout << "Does car name starts with 'Land'? "<< car.startsWith("Land")<< endl; // Output: 1 (true)
return 0;
}
Output
Tries elements are: Maruti Suzuki Mercedes-Benz Land Rover Lamborghini Searching Cars Found? 1 Found? 1 Found? 0 Found? 1 Found? 0 Cars name starts with Does car name starts with 'Lambo'? 1 Does car name starts with 'Hon'? 0 Does car name starts with 'Hy'? 0 Does car name starts with 'Mer'? 1 Does car name starts with 'Land'? 1
//Java program for tries Algorithm
import java.util.HashMap;
import java.util.Map;
class TrieNode {
Map<Character, TrieNode> children;
boolean isEndOfWord;
TrieNode() {
children = new HashMap<>();
isEndOfWord = false;
}
}
class Trie {
private TrieNode root;
Trie() {
root = new TrieNode();
}
void insert(String word) {
TrieNode curr = root;
for (char ch : word.toCharArray()) {
curr.children.putIfAbsent(ch, new TrieNode());
curr = curr.children.get(ch);
}
curr.isEndOfWord = true;
}
TrieNode getRoot() {
return root;
}
boolean search(String word) {
TrieNode curr = root;
for (char ch : word.toCharArray()) {
if (!curr.children.containsKey(ch)) {
return false;
}
curr = curr.children.get(ch);
}
return curr.isEndOfWord;
}
boolean startsWith(String prefix) {
TrieNode curr = root;
for (char ch : prefix.toCharArray()) {
if (!curr.children.containsKey(ch)) {
return false;
}
curr = curr.children.get(ch);
}
return true;
}
}
public class Main {
public static void printWords(TrieNode node, String prefix) {
if (node.isEndOfWord) {
System.out.println(prefix);
}
for (Map.Entry<Character, TrieNode> entry : node.children.entrySet()) {
printWords(entry.getValue(), prefix + entry.getKey());
}
}
public static void main(String[] args) {
Trie car = new Trie();
//Inserting the elements
car.insert("Lamborghini");
car.insert("Mercedes-Benz");
car.insert("Land Rover");
car.insert("Maruti Suzuki");
System.out.print("Tries elements are: \n");
printWords(car.getRoot(), " ");
//searching the elements
System.out.println("Searching Cars");
//Printing the searched elements
System.out.println("Found? " + car.search("Lamborghini")); // Output: true
System.out.println("Found? " + car.search("Mercedes-Benz")); // Output: true
System.out.println("Found? " + car.search("Honda")); // Output: false
System.out.println("Found? " + car.search("Land Rover")); // Output: true
System.out.println("Found? " + car.search("BMW")); // Output: false
//searching the elements name start with?
System.out.println("Cars name starts with");
//Printing the elements
System.out.println("Does car name starts with 'Lambo'? " + car.startsWith("Lambo")); // Output: true
System.out.println("Does car name starts with 'Hon'? " + car.startsWith("Hon")); // Output: false
System.out.println("Does car name starts with 'Hy'? " + car.startsWith("Hy")); // Output: false
System.out.println("Does car name starts with 'Mer'? " +car.startsWith("Mar")); // Output: true
System.out.println("Does car name starts with 'Land'? " + car.startsWith("Land")); // Output: true
}
}
Output
Tries elements are: Lamborghini Land Rover Maruti Suzuki Mercedes-Benz Searching Cars Found? true Found? true Found? false Found? true Found? false Cars name starts with Does car name starts with 'Lambo'? true Does car name starts with 'Hon'? false Does car name starts with 'Hy'? false Does car name starts with 'Mer'? true Does car name starts with 'Land'? true
#Python code for Search operation of tries algorithm
class TrieNode:
def __init__(self):
self.children = {}
self.isEndOfWord = False
class Trie:
def __init__(self):
self.root = TrieNode()
def insert(self, word):
curr = self.root
for ch in word:
if ch not in curr.children:
curr.children[ch] = TrieNode()
curr = curr.children[ch]
curr.isEndOfWord = True
def search(self, word):
curr = self.root
for ch in word:
if ch not in curr.children:
return False
curr = curr.children[ch]
return curr.isEndOfWord
def startsWith(self, prefix):
curr = self.root
for ch in prefix:
if ch not in curr.children:
return False
curr = curr.children[ch]
return True
def getRoot(self):
return self.root
def printWords(node, prefix):
if node.isEndOfWord:
print(prefix)
for ch, child in node.children.items():
printWords(child, prefix + ch)
if __name__ == '__main__':
car = Trie()
#Inserting the elements
car.insert("Lamborghini")
car.insert("Mercedes-Benz")
car.insert("Land Rover")
car.insert("Maruti Suzuki")
print("Tries elements are: ")
printWords(car.root, " ")
#Searching elements
print("Searching Cars")
#Printing the searched elements
print("Found?",car.search("Lamborghini")) # Output: True
print("Found?",car.search("Mercedes-Benz")) # Output: True
print("Found?",car.search("Honda")) # Output: False
print("Found?",car.search("Land Rover")) # Output: True
print("Found?",car.search("BMW")) # Output: False
#printing elements name starts with?
print("Cars name starts with")
print("Does car name starts with 'Lambo'?", car.startsWith("Lambo")) # Output: True
print("Does car name starts with 'Hon'?",car.startsWith("Hon")) # Output: False
print("Does car name starts with 'Hy'?",car.startsWith("Hy")) # Output: False
print("Does car name starts with 'Mer'?",car.startsWith("Mer")) # Output: True
print("Does car name starts with 'Land'?",car.startsWith("Land")) # Output: True
Output
Tries elements are: Lamborghini Land Rover Mercedes-Benz Maruti Suzuki Searching Cars Found? True Found? True Found? False Found? True Found? False Cars name starts with Does car name starts with 'Lambo'? True Does car name starts with 'Hon'? False Does car name starts with 'Hy'? False Does car name starts with 'Mer'? True Does car name starts with 'Land'? True