Merge pull request #1229 from PetholzA/feature/20243105_python_fix_nm…

…idistance

python: fix overlapping_nmi_distance + add test

networkit/community.pyx

@@ -1899,7 +1899,7 @@ cdef extern from "<networkit/community/OverlappingNMIDistance.hpp>" namespace "N
 		MAX,
 		JOINT_ENTROPY
 
-class Normalization:
+class Normalization(object):
 	MIN = _Normalization.MIN
 	GEOMETRIC_MEAN = _Normalization.GEOMETRIC_MEAN
 	ARITHMETIC_MEAN = _Normalization.ARITHMETIC_MEAN
@@ -2026,8 +2026,8 @@ cdef class OverlappingNMIDistance(DissimilarityMeasure):
 		return ret
 
 	def _validateNormalization(self, _Normalization normalization):
-		if normalization not in {OverlappingNMIDistance.Min, OverlappingNMIDistance.GeometricMean,
-				OverlappingNMIDistance.ArithmeticMean, OverlappingNMIDistance.Max, OverlappingNMIDistance.JointEntropy}:
+		if normalization not in {Normalization.MIN, Normalization.GEOMETRIC_MEAN,
+				Normalization.ARITHMETIC_MEAN, Normalization.MAX, Normalization.JOINT_ENTROPY}:
 			raise ValueError("Error, invalid normalization method")
 
 class SpectralPartitioner:

networkit/test/test_community.py

@@ -173,6 +173,16 @@ def testNMIDistance(self):
 		PLPLLP = PLPLL.getPartition()
 		NMI = nk.community.NMIDistance()
 		self.assertIsInstance(NMI.getDissimilarity(self.LL, PLMLLP, PLPLLP),float)
+
+	def testOverlappingNMIDistance(self):
+		PLMLL = nk.community.PLM(self.LL)
+		PLMLL.run()
+		PLMLLP = PLMLL.getPartition()
+		PLPLL = nk.community.PLP(self.LL)
+		PLPLL.run()
+		PLPLLP = PLPLL.getPartition()
+		NMI_Distance = nk.community.OverlappingNMIDistance()
+		self.assertIsInstance(NMI_Distance.getDissimilarity(self.LL, PLMLLP, PLPLLP),float)	
 
 	def testNodeStructuralRandMeasure(self):
 		PLMLL = nk.community.PLM(self.LL)