Difference between revisions of "Intermediate C++ Game Programming Tutorial 24"

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(Tutorial 24.2: The unordered associative containers)
(Tutorial 24.2: The unordered associative containers)
 
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:* In order to make this work, you need to define a hash function and the comparators for <code>Vei2</code>
 
:* In order to make this work, you need to define a hash function and the comparators for <code>Vei2</code>
:* You can implement a comparison/equality functor as a <code>struct</code> that defines a <code>bool operator()( const T& lhs,const T& rhs ) const</code> member function, templated on <code>T</code>
+
:* You can implement a comparison/equality functor as a <code>struct</code> that defines a <code>operator()</code> member function, templated on <code>T</code>
 +
::<syntaxhighlight lang="cpp" line>
 +
struct EqVec2
 +
{
 +
    template <typename T>
 +
    bool operator()( const T& lhs,const T& rhs ) const
 +
    {
 +
        return (lhs.x == rhs.x) && (lhs.y == rhs.y);
 +
    }
 +
};
 +
</syntaxhighlight>
 
:* Defining a custom hashing function is an art, it requires knowledge of cryptography, abstract algebra, discrete math, etc.
 
:* Defining a custom hashing function is an art, it requires knowledge of cryptography, abstract algebra, discrete math, etc.
 
:* Luckily, we don't need this; you can revert to the standard hashing functions for the basic types that make up any custom type
 
:* Luckily, we don't need this; you can revert to the standard hashing functions for the basic types that make up any custom type
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:* Combining hashes from basic types to create a hash over your custom object  
 
:* Combining hashes from basic types to create a hash over your custom object  
:* Stack Overflow question "How do I combine hash values in C++" give the example as used in the boost library
+
:* A simple google search will give you good examples of how to combine hash values in C++
 
:* You can implement a hashing functor as a <code>struct</code> that defines a member function, templated on <code>T</code>, the basic type of the <code>Vec2</code> coordinates:
 
:* You can implement a hashing functor as a <code>struct</code> that defines a member function, templated on <code>T</code>, the basic type of the <code>Vec2</code> coordinates:
 
::<syntaxhighlight lang="cpp" line>
 
::<syntaxhighlight lang="cpp" line>
size_t operator()( const _Vec2<T>& vec ) const
+
struct HashVec2
 
{
 
{
std::hash<T> hasher;
+
    template <typename T>
auto hashx = hasher ( vec.x );
+
    size_t operator()( const _Vec2<T>& vec ) const
auto hashy = hasher ( vec.y );
+
    {
hashx ^= hashy + 0x9e3779b9 + (hashx << 6) + (hashx >> 2);
+
        std::hash<T> hasher;
return hashx;
+
        auto hashx = hasher ( vec.x );
}
+
        auto hashy = hasher ( vec.y );
 +
        hashx ^= hashy + 0x9e3779b9 + (hashx << 6) + (hashx >> 2);
 +
        return hashx;
 +
    }
 +
};
 
</syntaxhighlight>
 
</syntaxhighlight>
:* You pass these functors when defining the map: <code>std::unordered_map<Vei2,std::string,HashVec2> map;</code> [https://youtu.be/LsjFAx-dG5I?t=17m15s 17:15].  
+
:* You pass this functors when defining the map: <code>std::unordered_map<Vei2,std::string,HashVec2> map;</code> [https://youtu.be/LsjFAx-dG5I?t=17m15s 17:15].  
 
:* Note that the comparison functor is not needed: we can revert back to the equality operator already defined in the <code>Vec2</code> class definition
 
:* Note that the comparison functor is not needed: we can revert back to the equality operator already defined in the <code>Vec2</code> class definition
 
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</div>

Latest revision as of 23:47, 2 February 2020

Associative containers are super useful, both as a convenient fast way to create dictionary or mapping for real-world problems like managing game resources, and as a data structure to help solve more abstract algorithmic computer science problems. And hash tables are fast as balls.

Topics Covered

Part 1: ordered associative containers

  • std::map container interface
  • Binary tree data structure
  • std::map key requirements (comparison)
  • std::map gotchas (std::remove_if and const keys)
  • std::set
  • std::multimap and std::multiset

Part 2: unordered associative containers

  • Hash table performance vs. binary tree performance
  • Hash table data structure
  • std::unordered_map key requirements
  • Hash combining
  • std::unordered_map bucket interface and hashing policy
  • When to choose std::map over std::unordered_map

Video Timestamp Index

Tutorial 24.1: The ordered associative containers

[Expand]
  • The std::map<KeyType,ValueType> class 0:46
  • A Binary Tree data structure is used to manage the order of map elements 2:46
  • A look at the std::map cppreference.com documentation: insert, lookup & find 7:35
  • Requirements on KeyType 14:30
  • std::map cppreference.com documentation continued: erase 15:28
  • Two important things to know when working with associative containers 16:04
  • The std::set<KeyType> class 20:00
  • The std::multimap and std::multiset classes 21:28
  • Practical example of a multimap use case 22:30
  • Lookup in multimaps 25:21

Tutorial 24.2: The unordered associative containers

[Expand]
  • Main difference between ordered/unordered: performance 0:14
  • Using an unordered map 1:38
  • The Hash Table data structure 3:20
  • Requirements for the KeyType of an unordered_map / a hash table 11:56
  • Example: map from Vec2 class (2D coordinates) to a string 12:46
  • Template Specialization 18:43
  • The std::unordered_map<> Bucket interface 20:00
  • The std::unordered_map<> Hash policy interface 21:47
  • When to choose std::map over std::unordered_map? 25:15
  • Homework assignment 26:04

Homework Assignment

The homework for this video is to enable use of a custom datatype in unordered_map hashing over multiple (4) members of that datatype. The solution video is here.

Supplementary Link

See also