def handle_12(signum, frame):
logging.shutdown()
tools.save_file(settings.ROOT_DIR + "neighbours.dump", Lattice.NEIGHBOURS_POSITION)
for k,v in settings.EXP_TABLES.iteritems():
tools.save_file(settings.ROOT_DIR + settings.FILES_TEMPLATE['exp'] % k, settings.EXP_TABLES[k])
def run(self):
"""
Run Monte Carlo simulation
"""
self.start_step = self.start_step + settings.DELTA_STEP
print "="*10
print "Local T:", self.box._localT
print "BOX size:", self.box.box_size
print "Lattice size:", Lattice.box_size, "/", self.box.lattice.box_size
print "Number of chains:", len(self.box.chain_list)
print "Rank:", settings.RANK, "/", settings.SIZE
print "Logging file:", settings.DIRS['log'] + settings.EXPERIMENT_NAME + ".log"
print "BASE_DIR:", settings.BASE_DIR
print "Dirs:"
for name, dir_name in settings.DIRS.items():
print " ", name, ":", dir_name
print "=" * 10
print "SETTINGS:"
print "\tMC steps:", settings.MC_STEPS
print "\t\tMC start_step:", self.start_step
print "\t\tMC stop_step:", self.stop_step
print "\tFREQ_SWAP:", settings.FREQ_SWAP
print "\tFREQ_COLLECT", settings.FREQ_COLLECT
print "\tPERFORM_SWAP:", settings.PERFORM_SWAP
print "\tFREQ_DATA:", settings.FREQ_DATA
print "\tFREQ_CALC:", settings.FREQ_CALC
print "\tFREQ_SNAPSHOT:", settings.FREQ_SNAPSHOT
print "\tFREQ_ATHERMAL:", settings.FREQ_ATHERMAL
print "\tFREQ_COOLING:", settings.FREQ_COOLING
print "\tPT:", settings.PT
print "\tPT_MODULE:", settings.PT_MODULE
print "\tFOPT:", settings.FOPT
print "="*10
print "Chains"
m_set = set()
for c in range(len(self.box.chain_list)):
print "\t%d: %s" % (c, "".join([ m.name for m in self.box.chain_list[c].chain ]))
for m in self.box.chain_list[c].chain:
m_set.add((m.name, str(m.interaction_table)))
print "\tMonomers:"
for m in m_set:
print "\t %s: %s" % (m[0], m[1])
print "="*10
# # mc step
step_time = 0.0
# self.prepare_hdf_table()
self.prepare_db()
settings.FREQ_COLLECT = settings.FREQ_COLLECT + settings.FREQ_ATHERMAL + settings.FREQ_COOLING
settings.FREQ_COLLECT2 = settings.FREQ_ATHERMAL + settings.FREQ_COOLING # # second is used in parallel tempering where we want
# # to switch between temperatures after athermal
# # but we want to not collect first part of data
# ## start simulations
simulation_time = time.time()
xrange_chains = [None] * self.box.number_of_chains
for c in self.box.chain_list:
xrange_chains[c.idx] = xrange(c._total_length / 8)
# # MOVES
ch = Polymer.Chain
break_move = [ch.PULL_MOVE, ch.PULL_MOVE, ch.B_SNAKE, ch.E_SNAKE]
# break_move = []
m = (ch.B_ROTATE, ch.E_ROTATE, ch.S_ROTATE, ch.B_SNAKE, ch.E_SNAKE)
m_len = len(m)
b_len = len(break_move)
# # variables
acceptance_ratio = dict(zip(ch.TYPE_OF_MOVE, [0] * len(ch.TYPE_OF_MOVE)))
reject_ratio = acceptance_ratio.copy()
total_acceptance = 0
total_reject = 0
# step file
step_file = open(settings.DIRS['calc'] + "step", "w+")
# # MC SWEEP while loop
while self.current_step < self.stop_step and not self.stop_simulation:
# print settings.PT_MODULE.rank if settings.PT else 0, 'step', step
step = self.current_step
if settings.TIME: start_time = time.time()
move_name = ""
settings.CURRENT_STEP = self.current_step
# # step environment changes like athermal heating and linear cooling
if (step < settings.FREQ_ATHERMAL or settings.LOCAL_T < 0.0) and not self.box.athermal_state:
logging.info("Launch athermal mode for %d" % settings.FREQ_ATHERMAL)
self.box.athermal_state = True
elif step >= settings.FREQ_ATHERMAL and self.box.athermal_state:
if self.box.athermal_state:
delta_time = time.time() - simulation_time
logging.info("Switch off athermal state on %d (time: %f)" % (step, delta_time))
# end of athermal state, if we use parallel tempering, try to find lowest
# enery configuration in replicas and run every replica from it
self.box.athermal_state = False
move = False
accept = 0
reject = 0
for rr_chain in range(self.box.number_of_chains):
if self.box.number_of_chains == 1:
chain = self.box.chain_list[0]
else:
chain_idx = np.random.randint(0, self.box.number_of_chains)
chain = self.box.chain_list[chain_idx]
move_time = 0.0
# for rr_chain in xrange_chains[chain.idx]:
for rr_chain in [1]:
if settings.TIME: start_move = time.time()
if settings.TIME: m_time = time.time()
# random move
move_idx = np.random.randint(0, b_len)
type_of_move = break_move[move_idx]
move = chain.move(type_of_move)
if settings.TIME: m_time = time.time() - m_time
if settings.TIME: move_time += m_time
if settings.TIME:
stop_move = time.time()
logging.info("Move %s: %f" % (chain.move_name, stop_move - start_move))
if move:
acceptance_ratio[chain.move_name] += 1
total_acceptance += 1
accept += 1
else:
total_reject += 1
reject_ratio[chain.move_name] += 1
reject += 1
if settings.TIME: move_name = chain.move_name
if settings.DEBUG: print chain.move_name, move
if settings.TIME: print step, time.time() - start_time, 'acc', accept, 'rej', reject, 'move_time_avg', move_time
# # performe some saves
rare_save = False
if step <= settings.FREQ_COLLECT: rare_save = (step % settings.RARE_SAVE == 0)
if settings.TIME: chain_move_time = time.time()
if (step % 10000) == 0:
step_file.write("%d\n" % step)
step_file.flush()
# save some data
if (step >= settings.FREQ_COLLECT and (step % settings.FREQ_SNAPSHOT) == 0) or rare_save:
self.db["jmol_%d" % step ] = self.box.jmol_snapshot_string()
if (step >= settings.FREQ_COLLECT and (step % settings.FREQ_CALC) == 0):
for chain in self.box.chain_list:
chain.calculate_values()
val = [step, self.box._localT] + chain.last_values
self.db["values_%d" % step ] = val
# ## swap
if settings.PERFORM_SWAP:
if step >= settings.FREQ_COLLECT2 and settings.PT and ((step + 1) % settings.FREQ_SWAP) == 0:
self.box.swap()
data_file = settings.DIRS['calc'] + settings.FILES_TEMPLATE['pt_hist'] % (settings.RANK)
tools.save_file(data_file, self.box.temperature_history)
if settings.TIME:
stop_time = time.time()
delta_move_time = chain_move_time - start_time
logging.info("%s;%f;%d" % (move_name, delta_move_time, move))
# # END of simulation block
# # increment step counter
step += 1
self.current_step += 1
if step == self.stop_step: # # last step of simulation, we check feedback
if settings.PERFORM_SWAP and settings.PT and settings.FOPT:
logging.info("Perform Feedback optimization")
settings.PT_MODULE.calculate_round_trip()
##################################
simulation_time = time.time() - simulation_time
# data_file_name = settings.FILES['data'] % (step)
# tools.save_file(data_file_name, self.box)
# jmol_file = settings.FILES['model'] % (step)
# self.box.jmol_snapshot(jmol_file)
self.db['jmol_%d' % step ] = self.box.jmol_snapshot_string()
# self.values_tbl.flush()
# # save remaning values
# for k,v in values_to_save.iteritems():
# f = values_files[k]
# f.writelines(v)
# f.close()
# # save histograms
if settings.PERFORM_SWAP and settings.PT:
settings.PT_MODULE.save_histograms()
print "="*5, "Rank", settings.RANK, "of", settings.SIZE, "="*5
print "Total time:", simulation_time
print "Rank:", settings.RANK
print "Steps:", self.stop_step
print "Chains:", len(self.box.chain_list)
for chain in self.box.chain_list:
print "\tChain: %s" % chain
print "\t Min Energy:", chain.min_energy
print "\t Min Rg:", chain.min_rg
for i in range(len(Chain.TYPE_OF_MOVE)):
print "\t +%s: %d" % (chain.TYPE_OF_MOVE[i], chain.MOVE_STATS[i])
print "Total accepted: ", total_acceptance
print "Total reject: ", total_reject
print "Acceptance move:"
for k, v in acceptance_ratio.iteritems():
print " +%s: %s" % (str(k), str(v))
print "Reject move:"
for k, v in reject_ratio.iteritems():
print " +%s: %s" % (str(k), str(v))
print "Temperature: ", self.box._localT
print "="*10
prof.runcall(mc.run)
prof.close()
else:
mc.run()
elif cmd == 'continue': # continue from some configuration
#start_step = int(sys.argv[3])
#temp = float(sys.argv[4])
max_step = max([ int(o.replace('.dump','').split('_')[-1]) for o in os.listdir(settings.DIRS['data']) ])
logging.info("Start from step: %d" % max_step)
box_file_name = settings.DIRS['data'] + settings.FILES_TEMPLATE['data'] % (max_step)
logging.debug("Box file name: %s" % box_file_name)
box = tools.load_file(box_file_name)
if not box:
raise Exception("Box not found !")
mc = MC(steps = settings.MC_STEPS, obj = box, start_step = max_step)
settings.MC_MODULE = mc
mc.run()
logging.shutdown()
for k,v in settings.EXP_TABLES.iteritems():
tools.save_file(settings.ROOT_DIR + settings.FILES_TEMPLATE['exp'] % k, settings.EXP_TABLES[k])
#tools.save_file(settings.ROOT_DIR + "neighbours.dump", Lattice.NEIGHBOURS_POSITION)
#tools.save_file(settings.ROOT_DIR + settings.FILES_TEMPLATE['exp'] % mc.box.localT, settings.EXP_TABLE)
except KeyboardInterrupt: ## stop on Ctrl+C
logging.shutdown()
for k,v in settings.EXP_TABLES.iteritems():
tools.save_file(settings.ROOT_DIR + settings.FILES_TEMPLATE['exp'] % k, settings.EXP_TABLES[k])
#tools.save_file(settings.ROOT_DIR + "neighbours.dump", Lattice.NEIGHBOURS_POSITION)
#tools.save_file(settings.ROOT_DIR + settings.FILES_TEMPLATE['exp'] % mc.box.localT, settings.EXP_TABLE)