--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/app/graph/generators.py	Wed Nov 26 23:56:19 2008 +0000
@@ -0,0 +1,82 @@
+# Copyright (c) 2007-2008 Pedro Matiello <pmatiello@gmail.com>
+#                         Zsolt Haraszti <zsolt@drawwell.net>
+#
+# Permission is hereby granted, free of charge, to any person
+# obtaining a copy of this software and associated documentation
+# files (the "Software"), to deal in the Software without
+# restriction, including without limitation the rights to use,
+# copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the
+# Software is furnished to do so, subject to the following
+# conditions:
+
+# The above copyright notice and this permission notice shall be
+# included in all copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+# OTHER DEALINGS IN THE SOFTWARE.
+
+
+"""
+Random graph generators for python-graph.
+
+@sort: generate
+"""
+
+
+# Imports
+import graph as classes
+from random import randint
+
+
+# Generator
+
+def generate(graph, num_nodes, num_edges, weight_range=(1, 1)):
+	"""
+	Add nodes and random edges to the graph.
+	
+	@type  graph: graph
+	@param graph: Graph.
+	
+	@type  num_nodes: number
+	@param num_nodes: Number of nodes.
+	
+	@type  num_edges: number
+	@param num_edges: Number of edges.
+
+	@type  weight_range: tuple
+	@param weight_range: tuple of two integers as lower and upper limits on randomly generated
+	weights (uniform distribution).
+	"""
+	# Discover if graph is directed or not
+ 	directed = (type(graph) == classes.digraph)
+
+	# Nodes first
+	nodes = xrange(num_nodes)
+	graph.add_nodes(nodes)
+	
+	# Build a list of all possible edges
+	edges = []
+        edges_append = edges.append
+	for x in nodes:
+		for y in nodes:
+			if ((directed and x != y) or (x > y)):
+				edges_append((x, y))
+	
+	# Randomize the list
+	for i in xrange(len(edges)):
+		r = randint(0, len(edges)-1)
+		edges[i], edges[r] = edges[r], edges[i]
+	
+		# Add edges to the graph
+		min_wt = min(weight_range)
+		max_wt = max(weight_range)
+	for i in xrange(num_edges):
+		each = edges[i]
+		graph.add_edge(each[0], each[1], wt = randint(min_wt, max_wt))