A ruby a day!

Ruby extension implementing a priority queue

Description

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.

Legal stuff

(c) 2005 Brian Amberg

Please submit bugreports to priority_queue@brian-amberg.de

This extension is under the same license as ruby.

Do not hold me reliable for anything that happens to you, your programs or anything else because of this extension. It worked for me, but there is no guarantee it will work for you.

Requirements

Installation

Installing from source

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

($ su) # ruby setup.rb

These simple step installs this program under the default location of Ruby libraries. You can also install files into your favorite directory by supplying setup.rb some options. Try "ruby setup.rb --help".

Installing a ruby gem

($ su) # gem install PriorityQueue

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_priority #=> 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.change_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.

The results are shown here

Runtime for graphs of up to 8_000 Nodes

Runtime for graphs of up to 600_000 Nodes

Todo

Documentation

documentation in rdoc format

Download

Priority Queue 0.1.2

Priority Queue 0.1.1

Priority Queue 0.1.0

Priority Queue 0.0.0

Changelog

0.1.2
  * Repaired benchmark
  * Added c_priority_queue wrapper, such that one can now require versions
    explicitly using:
        require "priority_queue/(c|ruby|poor)_priority_queue"
  * Improved README

0.1.1
  * Removed debug cruft
  * Added more documentation and examples
  * Readme typo fixed
  * I had the tests commented out
  * Removed a bug when pushing twice onto the c priority queue (and added a test)

0.1.0
  * API changes
  * Added lots of unit tests
  * Restructured 
  * Fallback to ruby version if c version is not available
  * Added Efficent Pure Ruby Implementation (3 times slower than c version in
    dijkstras algorithm)
  * Added "Poor Mans Priority Queue" as a simple reference Implementation
  * Minor improvements
  * Added possibility to increase keys
  * Minor bugs fixed
  * Released as a .tar.gz (setup.rb)
  * Released as a .gem (Anybody want to improve the distribution or point me to
    some information on how to relase as .tar.gz and as .gem without too much
    ado)

0.0.0:
  * First c-implementation
  * Experimental Release