require 'test/unit' require 'rgl/adjacency' require 'rgl/traversal' require 'rgl/topsort' require 'rgl/implicit' class Array alias add push end include RGL class TestTraversal < Test::Unit::TestCase def setup @dg = DirectedAdjacencyGraph.new(Array) edges = [[1,2],[2,3],[2,4],[4,5],[1,6],[6,4]] edges.each do |(src,target)| @dg.add_edge(src, target) end @bfs = @dg.bfs_iterator(1) @dfs = @dg.dfs_iterator(1) @ug = AdjacencyGraph.new(Array) @ug.add_edges(*edges) end def test_bfs_iterator_creation assert(@bfs.at_beginning?) assert(!@bfs.at_end?) assert_equal(1,@bfs.start_vertex) assert_equal(@dg,@bfs.graph) end def test_bfs_visiting expected = [1, 2, 6, 3, 4, 5] assert_equal(expected,@bfs.to_a) assert_equal(expected,@ug.bfs_iterator(1).to_a) assert_equal([2, 1, 3, 4, 6, 5],@ug.bfs_iterator(2).to_a) end def test_bfs_event_handlers expected = 'tree_edge : -1 examine_vertex : 1 examine_edge : 1-2 tree_edge : 1-2 examine_edge : 1-6 tree_edge : 1-6 finished_vertex: 1 examine_vertex : 2 examine_edge : 2-3 tree_edge : 2-3 examine_edge : 2-4 tree_edge : 2-4 finished_vertex: 2 examine_vertex : 6 examine_edge : 6-4 back_edge : 6-4 finished_vertex: 6 examine_vertex : 3 finished_vertex: 3 examine_vertex : 4 examine_edge : 4-5 tree_edge : 4-5 finished_vertex: 4 examine_vertex : 5 examine_edge : 5-3 forward_edge : 5-3 finished_vertex: 5 ' s = '' @dg.add_edge 5,3 # for the forward_edge 5-3 @bfs.set_examine_vertex_event_handler { |v| s << "examine_vertex : #{v}\n"} @bfs.set_examine_edge_event_handler { |u,v| s << "examine_edge : #{u}-#{v}\n"} @bfs.set_tree_edge_event_handler { |u,v| s << "tree_edge : #{u}-#{v}\n"} @bfs.set_back_edge_event_handler { |u,v| s << "back_edge : #{u}-#{v}\n"} @bfs.set_forward_edge_event_handler { |u,v| s << "forward_edge : #{u}-#{v}\n"} @bfs.each {|v| s << "finished_vertex: #{v}\n"} puts "BFS: ", s if $DEBUG assert_equal(expected,s) end def test_dfs_visiting assert_equal([1, 6, 4, 5, 2, 3],@dg.dfs_iterator(1).to_a) assert_equal([2, 4, 5, 3],@dg.dfs_iterator(2).to_a) end def test_dfs_event_handlers expected = 'tree_edge : -1 examine_vertex : 1 examine_edge : 1-2 tree_edge : 1-2 examine_edge : 1-6 tree_edge : 1-6 finished_vertex: 1 examine_vertex : 6 examine_edge : 6-4 tree_edge : 6-4 finished_vertex: 6 examine_vertex : 4 examine_edge : 4-5 tree_edge : 4-5 finished_vertex: 4 examine_vertex : 5 examine_edge : 5-3 tree_edge : 5-3 finished_vertex: 5 examine_vertex : 3 finished_vertex: 3 examine_vertex : 2 examine_edge : 2-3 forward_edge : 2-3 examine_edge : 2-4 forward_edge : 2-4 finished_vertex: 2 ' s = '' @dg.add_edge 5,3 @dfs.set_examine_vertex_event_handler { |v| s << "examine_vertex : #{v}\n"} @dfs.set_examine_edge_event_handler { |u,v| s << "examine_edge : #{u}-#{v}\n"} @dfs.set_tree_edge_event_handler { |u,v| s << "tree_edge : #{u}-#{v}\n"} @dfs.set_back_edge_event_handler { |u,v| s << "back_edge : #{u}-#{v}\n"} @dfs.set_forward_edge_event_handler { |u,v| s << "forward_edge : #{u}-#{v}\n"} @dfs.each {|v| s << "finished_vertex: #{v}\n"} puts "DFS: ", s if $DEBUG assert_equal(expected,s) end def test_bfs_search_tree assert_equal("(1-2)(1-6)(2-3)(2-4)(4-5)",@dg.bfs_search_tree_from(1).edges.sort.to_s) end def aux(it) it.attach_distance_map it.set_to_end it.graph.vertices.sort.collect {|v| "#{v}-#{it.distance_to_root(v)}" }.join(', ') end def test_distance_map assert_equal("1-0, 2-1, 3-2, 4-2, 5-3, 6-1",aux(@bfs)) @dg.add_edge 5,3 assert_equal("1-0, 2-1, 3-4, 4-2, 5-3, 6-1",aux(@dfs)) end def test_topsort ts_it = @dg.topsort_iterator assert(ts_it.at_beginning?) assert_equal(@dg,ts_it.graph) assert(!ts_it.at_end?) ts_order = ts_it.to_a # do the traversal assert_equal(@dg.num_vertices,ts_order.size) # Check topsort contraint: @dg.each_edge { |u,v| assert(ts_order.index(u) < ts_order.index(v)) } ts_it.set_to_begin assert(ts_it.at_beginning?) # Topsort on undirected graphs is empty assert(@ug.topsort_iterator.at_end?) end # depth_first_search can also be used to compute a topsort! def test_dfs_search_as_topsort ts_order = [] @dg.depth_first_search { |v| ts_order << v } ts_order = ts_order.reverse @dg.each_edge { |u,v| assert(ts_order.index(u) < ts_order.index(v)) } end def test_acyclic assert(@dg.acyclic?) @dg.add_edge 5,2 # add cycle assert(!@dg.acyclic?) end def test_dfs_visit a = [] @dg.depth_first_visit(1) { |x| a << x } assert_equal([3, 5, 4, 2, 6, 1],a) a = [] @dg.add_edge 10,11 @dg.depth_first_visit(10) { |x| a << x } assert_equal([11, 10],a) end def test_dfs_visit_with_parens a = "" vis = DFSVisitor.new(@dg) vis.set_examine_vertex_event_handler {|v| a << "(#{v} "} vis.set_finish_vertex_event_handler {|v| a << " #{v})"} @dg.depth_first_visit(1,vis) { |x| } assert_equal("(1 (2 (3 3)(4 (5 5) 4) 2)(6 6) 1)",a) end def test_depth_first_search_with_parens @dg.add_edge 10,11 # We must ensure, that the order of the traversal is not dependend on the # order of the each iterator in the hash map of the adjacency graph. Therefor we # wrap the graph with an implicit graph that simply ensures a sort order on # the vertices. dg = @dg.implicit_graph { | g | g.vertex_iterator { |b| @dg.vertices.sort.each(&b)} } a = "" vis = DFSVisitor.new(dg) vis.set_examine_vertex_event_handler {|v| a << "(#{v} "} vis.set_finish_vertex_event_handler {|v| a << " #{v})"} dg.depth_first_search(vis) { |x| } assert_equal("(1 (2 (3 3)(4 (5 5) 4) 2)(6 6) 1)(10 (11 11) 10)",a) end end