def _new_partitioner(self, algorithm, segments, bp_left, bp_right, options):
'''A functor for partitioning a graph.'''
if algorithm == 'naive':
p = NaivePartitioner(segments, bp_left, bp_right, options.min_degree, (options.debug >= 2))
return p.partition
elif algorithm == 'cast':
return partition_cast.partition
elif algorithm == 'amg':
return lambda G: partition_amg.partition(G, theta=options.threshold)
else:
raise ValueError('Unsupported clique partitioning algorithm ''%s''' % (algorithm,))
def _new_partitioner(self, options):
'''A functor for partitioning a graph.'''
algorithm = options.algorithm
if algorithm == 'cast': return partition_cast.partition
elif algorithm == 'amg':
return lambda G: partition_amg.partition(G,
theta=options.threshold)
else:
raise ValueError('Unsupported clique partitioning algorithm '
'%s'
'' % (algorithm, ))
def _new_partitioner(self, algorithm, segments, bp_left, bp_right,
options):
'''A functor for partitioning a graph.'''
if algorithm == 'naive':
p = NaivePartitioner(segments, bp_left, bp_right,
options.min_degree, (options.debug >= 2))
return p.partition
elif algorithm == 'cast':
return partition_cast.partition
elif algorithm == 'amg':
return lambda G: partition_amg.partition(G,
theta=options.threshold)
else:
raise ValueError('Unsupported clique partitioning algorithm '
'%s'
'' % (algorithm, ))
def _new_partitioner(self, options):
'''A functor for partitioning a graph.'''
algorithm = options.algorithm
if algorithm == 'cast': return partition_cast.partition
elif algorithm == 'amg': return lambda G: partition_amg.partition(G, theta=options.threshold)
else: raise ValueError('Unsupported clique partitioning algorithm ''%s''' % (algorithm,))