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Cache with size limit


An LRU cache templateLRU Cache with a static variable for garbage valueTask-Based Multithreading Library - Implemented using FibersConcurrent FIFO in C++11Implementation of LRU cacheC++ Threaded LoggerNpuzzle solver using A* with Manhattan + Linear Conflict (Updated Code)Leetcode #146. LRUCache solution in Java (Doubly Linked List + HashMap)LRU Cache in C++11Symbolic algebra using a generic smart pointer class






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$begingroup$


Here is a class that stores a single value into the limited cache. If cache is full, it will remove the oldest element to make a space for a new value.
I'm using 2 structures to accomplish this because I need a fast lookup. I'm not very confident this is the best approach.
Cache will contain a small amount of data (lets say 1000 elements).



#include <unordered_set>
#include <queue>

template <class T>
class Cache

private:
int _maxSize;
std::unordered_set<T> _set;
std::queue<T> _queue;

public:
explicit Cache(int maxSize) : _maxSize(maxSize)

bool add(T value)
if(_set.find(value) == _set.end()) // // if not exists in set
if(_set.size() == _maxSize) // if set is 'full'
_set.erase(_queue.front()); // delete the oldest value from the set
_queue.pop(); // delete oldest value from queue

_queue.push(value); // push new value into queue
_set.insert(value); // insert new value into set
return true;

return false;


int size()
return static_cast<int>(_set.size());

;








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    0












    $begingroup$


    Here is a class that stores a single value into the limited cache. If cache is full, it will remove the oldest element to make a space for a new value.
    I'm using 2 structures to accomplish this because I need a fast lookup. I'm not very confident this is the best approach.
    Cache will contain a small amount of data (lets say 1000 elements).



    #include <unordered_set>
    #include <queue>

    template <class T>
    class Cache

    private:
    int _maxSize;
    std::unordered_set<T> _set;
    std::queue<T> _queue;

    public:
    explicit Cache(int maxSize) : _maxSize(maxSize)

    bool add(T value)
    if(_set.find(value) == _set.end()) // // if not exists in set
    if(_set.size() == _maxSize) // if set is 'full'
    _set.erase(_queue.front()); // delete the oldest value from the set
    _queue.pop(); // delete oldest value from queue

    _queue.push(value); // push new value into queue
    _set.insert(value); // insert new value into set
    return true;

    return false;


    int size()
    return static_cast<int>(_set.size());

    ;








    share







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    $endgroup$














      0












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      0





      $begingroup$


      Here is a class that stores a single value into the limited cache. If cache is full, it will remove the oldest element to make a space for a new value.
      I'm using 2 structures to accomplish this because I need a fast lookup. I'm not very confident this is the best approach.
      Cache will contain a small amount of data (lets say 1000 elements).



      #include <unordered_set>
      #include <queue>

      template <class T>
      class Cache

      private:
      int _maxSize;
      std::unordered_set<T> _set;
      std::queue<T> _queue;

      public:
      explicit Cache(int maxSize) : _maxSize(maxSize)

      bool add(T value)
      if(_set.find(value) == _set.end()) // // if not exists in set
      if(_set.size() == _maxSize) // if set is 'full'
      _set.erase(_queue.front()); // delete the oldest value from the set
      _queue.pop(); // delete oldest value from queue

      _queue.push(value); // push new value into queue
      _set.insert(value); // insert new value into set
      return true;

      return false;


      int size()
      return static_cast<int>(_set.size());

      ;








      share







      New contributor




      Boy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      Here is a class that stores a single value into the limited cache. If cache is full, it will remove the oldest element to make a space for a new value.
      I'm using 2 structures to accomplish this because I need a fast lookup. I'm not very confident this is the best approach.
      Cache will contain a small amount of data (lets say 1000 elements).



      #include <unordered_set>
      #include <queue>

      template <class T>
      class Cache

      private:
      int _maxSize;
      std::unordered_set<T> _set;
      std::queue<T> _queue;

      public:
      explicit Cache(int maxSize) : _maxSize(maxSize)

      bool add(T value)
      if(_set.find(value) == _set.end()) // // if not exists in set
      if(_set.size() == _maxSize) // if set is 'full'
      _set.erase(_queue.front()); // delete the oldest value from the set
      _queue.pop(); // delete oldest value from queue

      _queue.push(value); // push new value into queue
      _set.insert(value); // insert new value into set
      return true;

      return false;


      int size()
      return static_cast<int>(_set.size());

      ;






      c++ performance c++11 cache





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