def setUp(self):
self.set_up()
self.ordered_path = package_paths.data_path(
os.path.join('posterior-sample.txt.gz'))
post = parsing.parse_parameters(self.ordered_path)
self.partition_collection = pymsbayes.utils.stats.PartitionCollection(
post['taus'])
def get_partitions_from_posterior_sample_file(file_obj,
integer_partitions=False):
post = parsing.parse_parameters(file_obj)
if not 'taus' in post:
name = getattr(file_obj, 'name', file_obj)
raise Exception('posterior sample in {0} does not contain a '
'divergence time vector'.format(name))
if integer_partitions:
return stats.IntegerPartitionCollection(post['taus'])
return stats.PartitionCollection(post['taus'])
def get_partitions_from_posterior_sample_file(file_obj,
integer_partitions = False):
post = parsing.parse_parameters(file_obj)
if not 'taus' in post:
name = getattr(file_obj, 'name', file_obj)
raise Exception('posterior sample in {0} does not contain a '
'divergence time vector'.format(name))
if integer_partitions:
return stats.IntegerPartitionCollection(post['taus'])
return stats.PartitionCollection(post['taus'])