--- a/scripts/graph/generators.py Sun Nov 30 16:39:18 2008 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,82 +0,0 @@
-# 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))