class BlockCoilEvaluator(BaseHandler):
def __init__(self, args):
self.args = args
self.__init_comm()
self.__init_bridge()
def __init_comm(self):
if self.args.local_mode:
# Prepare the ZeroMQ communication layer.
print "Starting Evalutor in local mode."
self.comm = LocalServerComm(
addresses=[self.args.local_pull, self.args.local_publish])
else:
print "Starting Evalutor in network mode."
self.comm = NetworkServerComm(
ports=[self.args.network_pull, self.args.network_publish])
def __init_bridge(self):
# Prepare the C++ layer of optimizer through the Cython bridge.
bridge.prepare(self.args)
# Pull optimization constraints from C++ layer.
options = bridge.get_optimization_params()
self.no_vars, self.min_constr, self.max_constr = options
def handle_get_options(self, data, s_id):
self.comm.resp_options(
{
"num_params": self.no_vars,
"min_constr": self.min_constr,
"max_constr": self.max_constr,
}, s_id)
def handle_evaluate(self, data, s_id):
score = bridge.bfun(data["params"])
self.comm.resp_score({"score": score}, s_id)
def handle_get_stats(self, data, s_id):
info = bridge.coil_to_print(data["params"])
self.comm.resp_stats({"stats": info}, s_id)
def handle_save_output(self, data, s_id):
params = data["params"]
saved = []
if self.args.outcb:
bridge.save_cblock(self.args.outcb, params)
saved.append(self.args.outcb)
if self.args.outxml:
bridge.save_xml(self.args.outxml, params, self.args.density)
saved.append(self.args.outxml)
self.comm.resp_save({
"status": "",
"files": saved,
}, s_id)
def run(self):
self.comm.listen_forever(self)
def __init_comm(self):
if self.args.local_mode:
# Prepare the ZeroMQ communication layer.
print "Starting Evalutor in local mode."
self.comm = LocalServerComm(
addresses=[self.args.local_pull, self.args.local_publish])
else:
print "Starting Evalutor in network mode."
self.comm = NetworkServerComm(
ports=[self.args.network_pull, self.args.network_publish])
def __init_comm(self):
if self.args.local_mode:
# Prepare the ZeroMQ communication layer.
print "Starting Evalutor in local mode."
self.comm = LocalServerComm(addresses=[self.args.local_pull,
self.args.local_publish])
else:
print "Starting Evalutor in network mode."
self.comm = NetworkServerComm(ports=[self.args.network_pull,
self.args.network_publish])
class BlockCoilEvaluator(BaseHandler):
def __init__(self, args):
self.args = args
self.__init_comm()
self.__init_bridge()
def __init_comm(self):
if self.args.local_mode:
# Prepare the ZeroMQ communication layer.
print "Starting Evalutor in local mode."
self.comm = LocalServerComm(addresses=[self.args.local_pull,
self.args.local_publish])
else:
print "Starting Evalutor in network mode."
self.comm = NetworkServerComm(ports=[self.args.network_pull,
self.args.network_publish])
def __init_bridge(self):
# Prepare the C++ layer of optimizer through the Cython bridge.
bridge.prepare(self.args)
# Pull optimization constraints from C++ layer.
options = bridge.get_optimization_params()
self.no_vars, self.min_constr, self.max_constr = options
def handle_get_options(self, data, s_id):
self.comm.resp_options({
"num_params": self.no_vars,
"min_constr": self.min_constr,
"max_constr": self.max_constr,
}, s_id)
def handle_evaluate(self, data, s_id):
score = bridge.bfun(data["params"])
self.comm.resp_score({"score": score}, s_id)
def handle_get_stats(self, data, s_id):
info = bridge.coil_to_print(data["params"])
self.comm.resp_stats({"stats": info}, s_id)
def handle_save_output(self, data, s_id):
params = data["params"]
saved = []
if self.args.outcb:
bridge.save_cblock(self.args.outcb, params)
saved.append(self.args.outcb)
if self.args.outxml:
bridge.save_xml(self.args.outxml, params, self.args.density)
saved.append(self.args.outxml)
self.comm.resp_save({
"status": "",
"files": saved,
}, s_id)
def run(self):
self.comm.listen_forever(self)
