Ruby priority queue implementation

This is a fibonacci-heap priority-queue implementation. That means

insert:                      O(1)
decrease_priority: Amortized O(1)
delete_min:        Amortized O(log n)

This project is different from K. Kodamas PQueue in that it allows a decrease key operation. That makes PriorityQueue usable for algorithms like dijkstras shortest path algorithm, while PQueue is more suitable for Heapsort and the like.

Requirements

• Ruby 1.8 or later
• c Compiler

On Debian/Ubuntu/Kubuntu OS :

sudo apt-get install git gcc

Installation

Installing from source

De-compress archive and enter its top directory. Then type:

bundle exec rake setup

Installing a ruby gem

gem install priority_queue

Usage

In this priority queue implementation the queue behaves similarly to a hash that maps objects onto priorities.

Hash Interface

require 'priority_queue'

q = PriorityQueue.new
q["node1"] = 0
q["node2"] = 1
q.min #=> "node1"
q[q.min] #=> 0
q.min_value #=> 0

q["node2"] = -1
q.delete_min #=> "node2", 1
q["node2"] #= nil
q["node3"] = 1

q.delete("node3") #=> "node3", 1
q.delete("node2") #=> nil

Queue Interface

require 'priority_queue'

q = PriorityQueue.new
q.push "node1", 0 
q.push "node2", 1

q.min #=> "node1"

q.decrease_priority("node2", -1)

q.pop_min #=> "node2"
q.min     #=> "node1"

for more exmples look into the documentation, the unit tests and the benchmark suite.

Dijkstras shortest path algorithm

def dijkstra(start_node)
  # Nodes that may have neighbours wich can be relaxed further
  active = PriorityQueue.new         
  # Best distances found so far
  distances = Hash.new { 1.0 / 0.0 } 
  # Parent pointers describing shortest paths for all nodes
  parents = Hash.new                 

  # Initialize with start node
  active[start_node] = 0
  until active.empty?
      u, distance = active.delete_min
      distances[u] = distance
      d = distance + 1
    u.neighbours.each do | v |
        next unless d < distances[v] # we can't relax this one
        active[v] = distances[v] = d
        parents[v] = u
   	end    
  end
  parents
end

Performance

The benchmark directory contains an example where a random graph is created and the shortests paths from a random node in this graph to all other nodes are calculated with dijkstras shortests path algorithm. The algorithm is used to compare the three different priority queue implementations in this package.

• PoorPriorityQueue: A minimal priority queue implementation wich has delete_min in O(n).
• RubyPriorityQueue: An efficent implementation in pure ruby.
• CPriorityQueue: The same efficent implementation as a c extension.

The results are shown here

More Information

More information can be found on the project website on GitHub. There is extensive usage documentation available on the wiki.

License

This project is licensed under the MIT license, a copy of which can be found in the LICENSE file.

Release Notes

The release notes can be found in CHANGELOG file

Support

Users looking for support should file an issue on the GitHub issue tracking page, or file a pull request if you have a fix available.