diff -r 342bebadd075 -r 88c486951f10 thirdparty/python-graph/graph/generators.py --- a/thirdparty/python-graph/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 -# Zsolt Haraszti -# -# 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))