def __init__(self, maxNodes, epsilon, dVal, threads, batchsize, scale,
         weighted):
     self.graph = lib.newGraph(maxNodes, batchsize, dVal, epsilon, threads,
             1 if scale else 0)
     self.mapping = {}
     self.index = 0
     self.scale = scale
     self.weighted = weighted
     self.weight = {}
    def test_computePageRank(self):
        epsilon = 0.00001
        nodeCount = 3
        graph = lib.newGraph(nodeCount+10, 1, 0.5, epsilon, 2, 0)
        lib.addEdgeByIds(graph, 1, 2, 1)
        lib.addEdgeByIds(graph, 1, 3, 1)
        lib.addEdgeByIds(graph, 2, 3, 1)
        lib.addEdgeByIds(graph, 3, 1, 1)

        lib.computeIteration(graph)

        # initial pageRank
        n = lib.findNodeById(graph, 1)
        self.assertTrue(abs(n.pageRank_a - 1.0/graph.weightedSize) < epsilon)
        n = lib.findNodeById(graph, 2)
        self.assertTrue(abs(n.pageRank_a - 1.0/graph.weightedSize) < epsilon)
        n = lib.findNodeById(graph, 3)
        self.assertTrue(abs(n.pageRank_a - 1.0/graph.weightedSize) < epsilon)

        while graph.converged == 0:
            lib.computeIteration(graph)

        # one more so both a and b have the converged page rank
        lib.computeIteration(graph)

        a = lib.findNodeById(graph, 1)
        b = lib.findNodeById(graph, 2)
        c = lib.findNodeById(graph, 3)

        # the examples are not normalized so we must divide by nodeCount
        # http://pr.efactory.de/e-pagerank-algorithm.shtml
        self.assertTrue(abs(a.pageRank_a - 1.07692308 / nodeCount) < epsilon*10)
        self.assertTrue(abs(a.pageRank_b - 1.07692308 / nodeCount) < epsilon*10)
        self.assertTrue(abs(b.pageRank_a - 0.76923077 / nodeCount) < epsilon*10)
        self.assertTrue(abs(b.pageRank_b - 0.76923077 / nodeCount) < epsilon*10)
        self.assertTrue(abs(c.pageRank_a - 1.15384615 / nodeCount) < epsilon*10)
        self.assertTrue(abs(c.pageRank_b - 1.15384615 / nodeCount) < epsilon*10)

        lib.cleanup(graph)
    def test_graphCreation(self):
        graph = lib.newGraph(4, -1, -1, -1, 1, 0)

        ret = lib.addEdgeByIds(graph, 1, 2, 1)
        self.assertEqual(ret, 0)

        ret = lib.addEdgeByIds(graph, 2, 3, 1)
        self.assertEqual(ret, 0)

        ret = lib.addEdgeByIds(graph, 1, 3, 1)
        self.assertEqual(ret, 0)

        ret = lib.addEdgeByIds(graph, 0, 3, 1)
        self.assertEqual(ret, 0)

        # can't create more than 4 nodes
        ret = lib.addEdgeByIds(graph, 3, 4, 1)
        self.assertEqual(ret, -1)
        self.assertEqual(lib.findNodeById(graph, 4), ffi.NULL)

        # nodes have correct data
        n = lib.findNodeById(graph, 1)
        self.assertEqual(n.outDegree, 2)
        self.assertLLValuesById(n.inNodes, [])

        n = lib.findNodeById(graph, 2)
        self.assertEqual(n.outDegree, 1)
        self.assertLLValuesById(n.inNodes, [1])

        n = lib.findNodeById(graph, 3)
        self.assertEqual(n.outDegree, 0)
        self.assertLLValuesById(n.inNodes, [2, 1, 0])

        n = lib.findNodeById(graph, 0)
        self.assertEqual(n.outDegree, 1)
        self.assertLLValuesById(n.inNodes, [])

        lib.cleanup(graph)