pass
else:
start += step_size
stop += step_size
# Slice sessions @sessions(None, None)
next_step = input.sessions(start, stop)
if _ >= (1, 1):
past_start = (start-step_size)
past_stop = (stop-step_size)
past_step = input.sessions(past_start, past_stop)
# Compute transition matrix next
mc_next = MarkovChain(next_step, states)
mc_next = mc_next.csr_sparse_matrix()
# Compute transition matrix past
mc_past = MarkovChain(past_step, states)
mc_past = mc_past.csr_sparse_matrix()
print('matrix done', datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d %H:%M:%S'))
print('start clustering')
# DBSCAN
dbscan_next = Clustering(mc_next)
dbscan_past = Clustering(mc_past)
print("End clustering", datetime.fromtimestamp(time.time()).strftime('%Y-%m-%d %H:%M:%S'), '\n')
"""
BACKPROB HERE
