def testPerfectSquareForModelWithCrossingPoint(self):
self.assertEqual(
metrics.PerfectSquare_metric(self.models['WITH_CROSSING_POINT']), 2
)
def testPerfectSquareForModelWithCycles(self):
self.assertEqual(
metrics.PerfectSquare_metric(self.models['WITH_CYCLES']), 4
)
def testPerfectSquareMetricForSimpleModel(self):
self.assertEqual(
metrics.PerfectSquare_metric(self.models['SIMPLE']), 2
)
def testPerfectSquareMetricForComplexModel(self):
self.assertEqual(
metrics.PerfectSquare_metric(self.models['COMPLEX']), 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