def testTNEMetricForSimpleModel(self): self.assertEqual( metrics.TNE_metric(self.models['SIMPLE']), 2 )
def testTNEForModelWithCrossingPoint(self): self.assertEqual( metrics.TNE_metric(self.models['WITH_CROSSING_POINT']), 2 )
def testTNEMetricForComplexModel(self): self.assertEqual( metrics.TNE_metric(self.models['COMPLEX']), 4 )
def testTNEForModelWithCycles(self): self.assertEqual( metrics.TNE_metric(self.models['WITH_CYCLES']), 3 )
def check_diagrams_metics(diag_a, diag_b, do_print=True): group = {} try: if do_print: print("\n\tTNSE_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.TNSE_metric(diag_a), metrics.TNSE_metric(diag_b))) group["TNSE_metric"] = { "diag_a": metrics.TNSE_metric(diag_a), "diag_b": metrics.TNSE_metric(diag_b) } except: print("\nCan not calculate TNSE_metric for one or both diagrams") try: if do_print: print("\n\tTNIE_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.TNIE_metric(diag_a), metrics.TNIE_metric(diag_b))) group["TNIE_metric"] = { "diag_a": metrics.TNIE_metric(diag_a), "diag_b": metrics.TNIE_metric(diag_b) } except: print("\nCan not calculate TNIE_metric for one or both diagrams") try: if do_print: print("\n\tTNEE_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.TNEE_metric(diag_a), metrics.TNEE_metric(diag_b))) group["TNEE_metric"] = { "diag_a": metrics.TNEE_metric(diag_a), "diag_b": metrics.TNEE_metric(diag_b) } except: print("\nCan not calculate TNEE_metric for one or both diagrams") try: if do_print: print("\n\tTNE_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.TNE_metric(diag_a), metrics.TNE_metric(diag_b))) group["TNE_metric"] = { "diag_a": metrics.TNE_metric(diag_a), "diag_b": metrics.TNE_metric(diag_b) } except: print("\nCan not calculate TNE_metric for one or both diagrams") try: if do_print: print("\n\tNOA_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.NOA_metric(diag_a), metrics.NOA_metric(diag_b))) group["NOA_metric"] = { "diag_a": metrics.NOA_metric(diag_a), "diag_b": metrics.NOA_metric(diag_b) } except: print("\nCan not calculate NOA_metric for one or both diagrams") try: if do_print: print("\n\tNOAC_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.NOAC_metric(diag_a), metrics.NOAC_metric(diag_b))) group["NOAC_metric"] = { "diag_a": metrics.NOAC_metric(diag_a), "diag_b": metrics.NOAC_metric(diag_b) } except: print("\nCan not calculate NOAC_metric for one or both diagrams") try: if do_print: print("\n\tNOAJS_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.NOAJS_metric(diag_a), metrics.NOAJS_metric(diag_b))) group["NOAJS_metric"] = { "diag_a": metrics.NOAJS_metric(diag_a), "diag_b": metrics.NOAJS_metric(diag_b) } except: print("\nCan not calculate NOAJS_metric for one or both diagrams") try: if do_print: print("\n\tNumberOfNodes_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.NumberOfNodes_metric(diag_a), metrics.NumberOfNodes_metric(diag_b))) group["NumberOfNodes_metric"] = { "diag_a": metrics.NumberOfNodes_metric(diag_a), "diag_b": metrics.NumberOfNodes_metric(diag_b) } except: print( "\nCan not calculate NumberOfNodes_metric for one or both diagrams" ) try: if do_print: print("\n\tGatewayHeterogenity_metric: \ndiag_a:{}\ndiag_b:{}". format(metrics.GatewayHeterogenity_metric(diag_a), metrics.GatewayHeterogenity_metric(diag_b))) group["GatewayHeterogenity_metric"] = { "diag_a": metrics.GatewayHeterogenity_metric(diag_a), "diag_b": metrics.GatewayHeterogenity_metric(diag_b) } except: print( "\nCan not calculate GatewayHeterogenity_metric for one or both diagrams" ) try: if do_print: print( "\n\tCoefficientOfNetworkComplexity_metric: \ndiag_a:{}\ndiag_b:{}" .format(metrics.CoefficientOfNetworkComplexity_metric(diag_a), metrics.CoefficientOfNetworkComplexity_metric(diag_b))) group["CoefficientOfNetworkComplexity_metric"] = { "diag_a": metrics.CoefficientOfNetworkComplexity_metric(diag_a), "diag_b": metrics.CoefficientOfNetworkComplexity_metric(diag_b) } except: print( "\nCan not calculate CoefficientOfNetworkComplexity_metric for one or both diagrams" ) try: if do_print: print("\n\tAverageGatewayDegree_metric: \ndiag_a:{}\ndiag_b:{}". format(metrics.AverageGatewayDegree_metric(diag_a), metrics.AverageGatewayDegree_metric(diag_b))) group["AverageGatewayDegree_metric"] = { "diag_a": metrics.AverageGatewayDegree_metric(diag_a), "diag_b": metrics.AverageGatewayDegree_metric(diag_b) } except: print( "\nCan not calculate AverageGatewayDegree_metric for one or both diagrams" ) try: if do_print: print("\n\tDurfeeSquare_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.DurfeeSquare_metric(diag_a), metrics.DurfeeSquare_metric(diag_b))) group["DurfeeSquare_metric"] = { "diag_a": metrics.DurfeeSquare_metric(diag_a), "diag_b": metrics.DurfeeSquare_metric(diag_b) } except: print( "\nCan not calculate DurfeeSquare_metric for one or both diagrams") try: if do_print: print("\n\tPerfectSquare_metric: \ndiag_a:{}\ndiag_b:{}".format( metrics.PerfectSquare_metric(diag_a), metrics.PerfectSquare_metric(diag_b))) group["PerfectSquare_metric"] = { "diag_a": metrics.PerfectSquare_metric(diag_a), "diag_b": metrics.PerfectSquare_metric(diag_b) } except: print( "\nCan not calculate PerfectSquare_metric for one or both diagrams" ) return group