cluster.txes() is taking too long and memory is eventually running out in the AWS instance.
Is there a more optimized way to get all the transactions that a cluster is involved in?

Right now I'm doing the following:

import blocksci
import collections
import pandas as pd
import numpy as np
import blocksci.cluster_python

chain = blocksci.Blockchain("/home/ubuntu/bitcoin")
cm = blocksci.cluster_python.ClusterManager("/home/ubuntu/bitcoin/clusters", chain)
address = chain.address_from_string("1BTCDiceLs79syendE1DM1XCaHcKkzBNnP")
cluster = cm.cluster_with_address(address)
#The below line is taking too long to execute
cluster_txns_list = cluster.txes()