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SyntaxWarnings: Invalid escape sequences. #194

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SyntaxWarnings: Invalid escape sequences. #194

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4 changes: 2 additions & 2 deletions src/leidenalg/Optimiser.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
from math import log, sqrt

class Optimiser(object):
""" Class for doing community detection using the Leiden algorithm.
r""" Class for doing community detection using the Leiden algorithm.

The Leiden algorithm [1] derives from the Louvain algorithm [2]. The Louvain
algorithm has an elegant formulation. It consists of two phases: (1) move
Expand Down Expand Up @@ -308,7 +308,7 @@ def optimise_partition(self, partition, n_iterations=2, is_membership_fixed=None
return diff

def optimise_partition_multiplex(self, partitions, layer_weights=None, n_iterations=2, is_membership_fixed=None):
""" Optimise the given partitions simultaneously.
r""" Optimise the given partitions simultaneously.

Parameters
----------
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4 changes: 2 additions & 2 deletions src/leidenalg/VertexPartition.py
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Expand Up @@ -385,7 +385,7 @@ def weight_from_comm(self, v, comm):
return _c_leiden._MutableVertexPartition_weight_from_comm(self._partition, v, comm)

class ModularityVertexPartition(MutableVertexPartition):
""" Implements modularity. This quality function is well-defined only for positive edge weights.
r""" Implements modularity. This quality function is well-defined only for positive edge weights.

Notes
-----
Expand Down Expand Up @@ -758,7 +758,7 @@ def __deepcopy__(self, memo):
return new_partition

class RBConfigurationVertexPartition(LinearResolutionParameterVertexPartition):
""" Implements Reichardt and Bornholdt's Potts model with a configuration null model.
r""" Implements Reichardt and Bornholdt's Potts model with a configuration null model.
This quality function is well-defined only for positive edge weights.
This quality function uses a linear resolution parameter.

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