// Print the hash table void printHashTable(HashTable* hashTable) { for (int i = 0; i < HASH_TABLE_SIZE; i++) { Node* current = hashTable->buckets[i]; printf("Bucket %d: ", i); while (current != NULL) { printf("%s -> %s, ", current->key, current->value); current = current->next; } printf("\n"); } }
#include <stdio.h> #include <stdlib.h> #include <string.h>
int main() { HashTable* hashTable = createHashTable(); insert(hashTable, "apple", "fruit"); insert(hashTable, "banana", "fruit"); insert(hashTable, "carrot", "vegetable"); printHashTable(hashTable); char* value = search(hashTable, "banana"); printf("Value for key 'banana': %s\n", value); delete(hashTable, "apple"); printHashTable(hashTable); return 0; }
// Create a new node Node* createNode(char* key, char* value) { Node* node = (Node*) malloc(sizeof(Node)); node->key = (char*) malloc(strlen(key) + 1); strcpy(node->key, key); node->value = (char*) malloc(strlen(value) + 1); strcpy(node->value, value); node->next = NULL; return node; }
// Delete a key-value pair from the hash table void delete(HashTable* hashTable, char* key) { int index = hash(key); Node* current = hashTable->buckets[index]; if (current == NULL) return; if (strcmp(current->key, key) == 0) { hashTable->buckets[index] = current->next; free(current->key); free(current->value); free(current); } else { Node* previous = current; current = current->next; while (current != NULL) { if (strcmp(current->key, key) == 0) { previous->next = current->next; free(current->key); free(current->value); free(current); return; } previous = current; current = current->next; } } }
#define HASH_TABLE_SIZE 10
typedef struct Node { char* key; char* value; struct Node* next; } Node;
A dictionary, also known as a hash table or a map, is a fundamental data structure in computer science that stores a collection of key-value pairs. It allows for efficient retrieval of values by their associated keys. Hashing algorithms are widely used to implement dictionaries, as they provide fast lookup, insertion, and deletion operations.
// Print the hash table void printHashTable(HashTable* hashTable) { for (int i = 0; i < HASH_TABLE_SIZE; i++) { Node* current = hashTable->buckets[i]; printf("Bucket %d: ", i); while (current != NULL) { printf("%s -> %s, ", current->key, current->value); current = current->next; } printf("\n"); } }
#include <stdio.h> #include <stdlib.h> #include <string.h>
int main() { HashTable* hashTable = createHashTable(); insert(hashTable, "apple", "fruit"); insert(hashTable, "banana", "fruit"); insert(hashTable, "carrot", "vegetable"); printHashTable(hashTable); char* value = search(hashTable, "banana"); printf("Value for key 'banana': %s\n", value); delete(hashTable, "apple"); printHashTable(hashTable); return 0; } c program to implement dictionary using hashing algorithms
// Create a new node Node* createNode(char* key, char* value) { Node* node = (Node*) malloc(sizeof(Node)); node->key = (char*) malloc(strlen(key) + 1); strcpy(node->key, key); node->value = (char*) malloc(strlen(value) + 1); strcpy(node->value, value); node->next = NULL; return node; }
// Delete a key-value pair from the hash table void delete(HashTable* hashTable, char* key) { int index = hash(key); Node* current = hashTable->buckets[index]; if (current == NULL) return; if (strcmp(current->key, key) == 0) { hashTable->buckets[index] = current->next; free(current->key); free(current->value); free(current); } else { Node* previous = current; current = current->next; while (current != NULL) { if (strcmp(current->key, key) == 0) { previous->next = current->next; free(current->key); free(current->value); free(current); return; } previous = current; current = current->next; } } } i++) { Node* current = hashTable->
#define HASH_TABLE_SIZE 10
typedef struct Node { char* key; char* value; struct Node* next; } Node; printf("Bucket %d: "
A dictionary, also known as a hash table or a map, is a fundamental data structure in computer science that stores a collection of key-value pairs. It allows for efficient retrieval of values by their associated keys. Hashing algorithms are widely used to implement dictionaries, as they provide fast lookup, insertion, and deletion operations.