def bench():
results = [decode(d) for d in file_data]
from os import listdir
import cProfile
import pstats
from bencodepy.decoder import decode
from bencodepy.encode import encode
folder_path = '../torrent meta testing samples/'
file_data = []
for file_name in listdir(folder_path):
with open(folder_path + file_name, 'rb') as f:
data = f.read()
file_data.append(data)
python_data = [decode(d) for d in file_data]
for i, obj in enumerate(python_data):
print('Sample data {0}: {1} .'.format(i, obj))
python_data *= 6000
print('Number of objects to decode: {0}.'.format(len(python_data)))
results = []
def bench():
global results
results = [encode(r) for r in python_data]
def bench():
results = [decode(d) for d in file_data]
from os import listdir
import cProfile
import pstats
from bencodepy.decoder import decode
from bencodepy.encode import encode
folder_path = '../torrent meta testing samples/'
file_data = []
for file_name in listdir(folder_path):
with open(folder_path + file_name, 'rb') as f:
data = f.read()
file_data.append(data)
python_data = [decode(d) for d in file_data]
for i, obj in enumerate(python_data):
print('Sample data {0}: {1} .'.format(i, obj))
python_data *= 6000
print('Number of objects to decode: {0}.'.format(len(python_data)))
results = []
def bench():
global results
results = [encode(r) for r in python_data]
def print_size():