def testVertexSimilarities(self): matcher = GraphMatch(alpha=0.0) C = matcher.vertexSimilarities(self.graph1, self.graph1) Cdiag = numpy.diag(C) nptst.assert_array_almost_equal(Cdiag, numpy.ones(Cdiag.shape[0])) #Now compute trace(C)/||C|| #print(numpy.trace(C)/numpy.linalg.norm(C)) #Test use of feature inds matcher = GraphMatch(alpha=0.0, featureInds=numpy.array([0])) C = matcher.vertexSimilarities(self.graph1, self.graph2) #Now, let's vary the non-used feature self.graph1.vlist[:, 1] = 0 C2 = matcher.vertexSimilarities(self.graph1, self.graph2) nptst.assert_array_equal(C, C2) self.graph2.vlist[:, 1] = 0 C2 = matcher.vertexSimilarities(self.graph1, self.graph2) nptst.assert_array_equal(C, C2) #Vary used feature self.graph1.vlist[:, 0] = 0 C2 = matcher.vertexSimilarities(self.graph1, self.graph2) self.assertTrue((C != C2).any())