def summary_statistics():
ble_mex = dict()
terms = [
'latency', 'std', 'm_e', 'low', 'up', 'S', 'R', 'L', 'E', 'pdr',
'goodput'
]
terms_2 = [
'mean', 'std', 'm_e', 'low', 'up', 'S', 'R', 'L', 'E', 'pdr', 'goodput'
]
for k, run in my_dictionary.items():
if k == '_command':
continue
if k == '1':
for t in terms:
ble_mex[t] = []
i = 0
for t in terms:
if i < 5:
value = run['statistic_']['latency'][terms_2[i]]
elif 5 <= i <= 8:
value = run['mex_'][terms_2[i]]
else:
value = run['statistic_'][terms_2[i]]
ble_mex[t].append(value)
i += 1
ble = dict()
for t in terms:
ble[t] = np.mean(ble_mex[t])
my_dictionary['summary'] = {
'mex_': {
'S': ble['S'],
'R': ble['R'],
'L': ble['L'],
'E': ble['E']
},
'statistic_': {
'pdr': ble['pdr'],
'goodput': ble['goodput'],
'latency': {
'mean': ble['latency'],
'std': ble['std'],
'm_e': ble['m_e'],
'low': ble['low'],
'up': ble['up']
}
}
}
# Saving
path_json = outcome_path + "delay_" + str(delay[index_delay]) + ".json"
my.save_json_data_2(path=path_json, data=my_dictionary)
def change_ttl_from_7_to_3(path):
print("- {}".format(change_ttl_from_7_to_3.__name__))
data = my.open_file_and_return_data(code=0, path=path)
mex = data['messages']
i = 0
saving = False
ttl = 7 - data['_command']['relay']
re_ttl = str("P,[0-9]{1,5}," + str(ttl))
replace_ttl = 3 - data['_command']['relay']
for k in mex:
if re.match(re_ttl, k['message_id']):
saving = True
s = k['message_id'].split(',')
new_s = str(s[0] + "," + s[1] + "," + str(replace_ttl))
data['messages'][i]['message_id'] = new_s
i += 1
if saving:
my.save_json_data_2(path=path, data=data)
def save_data(my_dictionary):
path_json = outcome_path + "delay_x_" + str(delay[index_delay]) + ".json"
my.save_json_data_2(path=path_json, data=my_dictionary)
def save_statistics_data():
path_json = outcome_path + "delay_XXX_" + str(delay[index_delay]) + ".json"
my.save_json_data_2(path=path_json, data=my_dictionary)