def run(self):
logger.info("[port_listener] starting")
self.queuer.start()
last_update_time = datetime.datetime.now()
t_tic = 0
last_time_packet_recieved = datetime.datetime.now()
if self.DEBUG:
max_neuronid = 200
while not self.done:
try:
t_tic, last_update_time = self.handle_timer_forces(
last_update_time, last_time_packet_recieved, t_tic)
# if done every 200 ms
if not self.DEBUG:
#print "trying to recive"
data = self.queuer.get_packet()
if data is None:
break
# print "received"
(ip_time_out_byte, pad_byte, flags_byte, tag_byte,
dest_port_byte, source_port_byte, dest_addr_short,
source_addr_short, command_short, sequence_short,
arg1_int, arg2_int, arg3_int) =\
struct.unpack_from("<BBBBBBHHHHiii", data, 0)
header_length = 26
spikedatalen = len(data) - header_length
t_tic = arg1_int
last_time_packet_recieved = datetime.datetime.now()
for spike in range(0, spikedatalen, 4):
spikeWord = struct.unpack_from("<I", data, spike +
header_length)[0]
x = packet_conversions.get_x_from_key(spikeWord)
y = packet_conversions.get_y_from_key(spikeWord)
p = packet_conversions.get_p_from_key(spikeWord)
nid = packet_conversions.get_nid_from_key(spikeWord)
# logger.debug("received packet from {},{},{}".format(x,y,p))
self.visualiser.spike_recieved({
'coords': [x, y, p],
'neuron_id': nid,
'tag': tag_byte,
'time_in_ticks': t_tic,
'spike_word': spikeWord
})
else: #create fake spikes
t_tic = self.generate_fake_spikes(packet_count, t_tic)
except socket.timeout:
pass
except Exception as e:
if not self.done:
traceback.print_exc()
logger.debug(
"[visualiser_listener] Error receiving data: %s" % e)
def run(self):
logger.info("[port_listener] starting")
self.queuer.start()
last_update_time = datetime.datetime.now()
t_tic = 0
last_time_packet_recieved = datetime.datetime.now()
if self.DEBUG:
max_neuronid = 200
while not self.done:
try:
t_tic, last_update_time = self.handle_timer_forces(
last_update_time, last_time_packet_recieved, t_tic)
# if done every 200 ms
if not self.DEBUG:
#print "trying to recive"
data = self.queuer.get_packet()
if data is None:
break
# print "received"
(ip_time_out_byte, pad_byte, flags_byte, tag_byte,
dest_port_byte, source_port_byte, dest_addr_short,
source_addr_short, command_short, sequence_short,
arg1_int, arg2_int, arg3_int) =\
struct.unpack_from("<BBBBBBHHHHiii", data, 0)
header_length = 26
spikedatalen = len(data) - header_length
t_tic = arg1_int
last_time_packet_recieved = datetime.datetime.now()
for spike in range(0, spikedatalen, 4):
spikeWord = struct.unpack_from("<I", data, spike + header_length)[0]
x = packet_conversions.get_x_from_key(spikeWord)
y = packet_conversions.get_y_from_key(spikeWord)
p = packet_conversions.get_p_from_key(spikeWord)
nid = packet_conversions.get_nid_from_key(spikeWord)
# logger.debug("received packet from {},{},{}".format(x,y,p))
self.visualiser.spike_recieved({'coords':[x,y,p],
'neuron_id':nid,
'tag': tag_byte,
'time_in_ticks': t_tic,
'spike_word': spikeWord})
else:#create fake spikes
t_tic = self.generate_fake_spikes(packet_count, t_tic)
except socket.timeout:
pass
except Exception as e:
if not self.done:
traceback.print_exc()
logger.debug("[visualiser_listener] Error receiving data: %s" % e)
def convert_normal_pop_spike_to_x_y(self, spike_word):
'''
takes the spike_word (key) and converts it into a neuron id, for the vertex
it then converts the neuron id into a x and y coord and adds one to the colour
'''
neuron_id = packet_conversions.get_nid_from_key(spike_word)
x = packet_conversions.get_x_from_key(spike_word)
y = packet_conversions.get_y_from_key(spike_word)
p = packet_conversions.get_p_from_key(spike_word)
subvert = self.locate_subvert(x, y, p)
real_neuron_id = subvert.lo_atom + neuron_id
x_coord = math.floor(real_neuron_id/self.y_dim)
y_coord = real_neuron_id - (x_coord * self.y_dim)
return x_coord, y_coord, 1
def convert_normal_pop_spike_to_x_y(self, spike_word):
'''
takes the spike_word (key) and converts it into a neuron id, for the vertex
it then converts the neuron id into a x and y coord and adds one to the colour
'''
neuron_id = packet_conversions.get_nid_from_key(spike_word)
x = packet_conversions.get_x_from_key(spike_word)
y = packet_conversions.get_y_from_key(spike_word)
p = packet_conversions.get_p_from_key(spike_word)
subvert = self.locate_subvert(x, y, p)
real_neuron_id = subvert.lo_atom + neuron_id
x_coord = math.floor(real_neuron_id / self.y_dim)
y_coord = real_neuron_id - (x_coord * self.y_dim)
return x_coord, y_coord, 1
