# initialise the list
distance_samples = []
sumDistance = 0
# take 10 samples and append them into the list
for count in range(10):
distance_samples.append(int(distance_measure()))
sumDistance += distance_samples[count]
# sort the list
distance_samples = sorted(distance_samples)
distance_average = math.trunc(sumDistance / 10)
# take the center list row value (median average)
distance_median = distance_samples[int(len(distance_samples) / 2)]
# apply the function to scale to volts
print(distance_samples)
packet = struct.pack('iii', distance_median, distance_average,
vol_batTrunc)
print(packet)
s.send(packet)
return int(distance_median)
print(distance_median())
MF(0)
#s.send(sendPacket)
py.setup_sleep(720)
py.go_to_sleep(False)
print('\n\n** Humidity and Temperature Sensor (SI7006A20)')
print('Humidity', si.humidity())
print('Temperature', si.temperature())
lpp.add_relative_humidity(1, si.humidity())
lpp.add_temperature(1, si.temperature())
mpPress = MPL3115A2(py,mode=PRESSURE)
print('\n\n** Barometric Pressure Sensor with Altimeter (MPL3115A2)')
print('Pressure (hPa)', mpPress.pressure()/100)
lpp.add_barometric_pressure(1, mpPress.pressure()/100)
mpAlt = MPL3115A2(py,mode=ALTITUDE)
print('Altitude', mpAlt.altitude())
print('Temperature', mpAlt.temperature())
lpp.add_gps(1, 0, 0, mpAlt.altitude())
lpp.add_temperature(2, mpAlt.temperature())
print('Sending data (uplink)...')
s.send(bytes(lpp.get_buffer()))
s.setblocking(False)
data = s.recv(64)
print('Received data (downlink)', data)
except:
1
lora.nvram_save()
py.setup_sleep(300)
py.go_to_sleep()
