How To Implement Custom Hash Functions For User Defined Types In Stdunordered Map In C++ Tpoint Te

In this article, we will discuss how to implement Custom Hash Functions for User-Defined Types in Std::unorderedmap in C++. Before discussing the implementation of the custom hash function, we must know about the std::unorderedmap in C++.

What is the std::unordered_map?

The std::unorderedmap container in contemporary C++ programming provides an effective method of managing collections of key-value pairs. Although it works well with built-in types, adding user-defined types to a std::unorderedmap can be difficult, especially when it comes to creating the right hash functions.

Recognizing the Value of Custom Hash Functions:

A hashing method that enables constant-time access to elements based on their keys is at the core of std::unordered_map. However, the success of this hashing procedure mostly depends on carefully designed hash algorithms. The built-in C++ default hash function might not be appropriate when working with user-defined types because it might need to adequately capture the distinctive features of the custom types. Creating a unique hash function for the particular classes becomes crucial in these situations.

Challenges of Default Hash Functions:

  • By default, std::unordered_map depends on the std::hash specialization for your custom type if you don't provide your custom hash function.
  • It often proves inadequate for handling advanced user-defined types, even if it might work for basic types like texts or integers.
  • Using an unordered map can have speed benefits, but these can be offset by higher collision rates caused by inadequate hashing.
  • Implementing a Custom Hash Function:

The procedures below can be used to create a custom hash function for user-defined types in C++:

Step 1: Create Your Custom Type

  • Start by encapsulating the data structure we want to store in the std::unordered_map in the custom type definition.
  • Any user-defined type could be used here, including classes and structs.

Step 2: Hash Function Definition

  • Next, specify the custom type's hash function.
  • This function should return a size_t hash value after receiving an object of your custom type as input.
  • In order to reduce collisions, the hash function should try to distribute hash values equally throughout the hash table.
  • Considerations of Hashing Functions

  • Ensure Deterministic Behaviour: Hash functions should yield the same value for identical items.
  • Balance Both Complexity and Performance: Aim for a hash function that balances hashing quality and computational efficiency.

Step 3: Allow std::unordered_map to use the hash function

  • It would help if we used the custom hash function as the third template parameter when declaring the std::unordered_map.
  • This instructs the unordered map to hash keys of the custom type using the custom hash function.
  • Example:

Let us take an example to illustrate the custom hash function for user-defined in std::unordered_map in C++.

Example

#include<iostream>
#include<unordered_map>
#include<string>
// Define your custom type
struct MyType {
    std::string key;
    int value;
    // Equality operator for MyType
    bool operator==(const MyType& other) const {
        return key == other.key && value == other.value;
    }
};
// Define a hash function for MyType
struct MyTypeHash {
    std::size_t operator()(const MyType& obj) const {
        // Combine hash values of member variables
        std::hash<std::string> hasher;
        std::size_t hash = hasher(obj.key);
        hash ^= std::hash<int>{}(obj.value) + 0x9e3779b9 + (hash << 6) + (hash >> 2); // Combine with some bit magic
        return hash;
    }
};
int main() {
    // Provide a custom hash function to unordered_map
    std::unordered_map<MyType, int , MyTypeHash> myMap;
    // Dynamic inputs
    std::string keyInput;
    int valueInput;
    std::cout << "Enter key1 (string): ";
    std::cin >> keyInput;
    std::cout << "Enter value for key1 (int): ";
    std::cin >> valueInput;
    MyType key1 = {keyInput, valueInput};
    std::cout << "Enter key2 (string): ";
    std::cin >> keyInput;
    std::cout << "Enter value for key2 (int): ";
    std::cin >> valueInput;
    MyType key2 = {keyInput, valueInput};
    // Inserting elements into unordered_map
    myMap[key1] = 100;
    myMap[key2] = 200;
    // Accessing elements
    std::cout<<"Value for key1:"<<myMap[key1]<<std::endl;
    std::cout<<"Value for key2:"<<myMap[key2]<<std::endl;
    return 0;
}

Output:

Explanation:

  • This example uses MyTypeHash , a functor that gives MyType a hash function. For each member variable in MyType, the operator function uses the std::hash methods to get a hash value, which it combines to get the final hash value.
  • MyTypeHash is the hash function to be used for keys of type MyType , and it is provided as the third template argument when declaring the std::unordered_map .
  • Advantages of implementing custom hash functions:

  • Performance: Within the unordered map, insertion, deletion, and lookup operations are accelerated by custom hash functions that optimize the distribution of hash values.
  • Collision Reduction: Custom hash functions preserve the effectiveness of hash-based data structures by reducing collisions, guaranteeing that operations continue to be quick and predictable even when dealing with big datasets.
  • Complexity Handling: In order to efficiently hash a wide range of complicated and varied data, custom hash functions can handle nested or sophisticated data structures within user-defined types.
  • Type Specificity: Developers may ensure precise and effective hashing by customizing the hashing process to the unique properties and traits of their user-defined types.
  • Deterministic Behaviour:

  • Regardless of the time or location at which an object is hashed, custom hash functions ensure deterministic behavior by producing the same hash value.
  • Control:

  • Developers can obtain more control over the behavior and performance of hash-based data structures by implementing custom hash functions.
  • It allows for optimization and fine-tuning based on particular application requirements.

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