# line = line.replace("]", "")
# values = line.split("!")
# entries = values[0].split(",")
# values = values[1].split(",")
# entries = list(map(int, entries))
# output = net.activate(entries)
# treated_output = normalize_list(output)
# values = list(map(int, values))
# print("Expected")
# print(values)
# print("got")
# print(treated_output)
# print("from")
# print(output)
#testinglines = testingset.read().splitlines()
#testing_data = []
for line in testinglines:
line = line.replace("[", "")
line = line.replace("]", "")
values = line.split("!")
entries = values[0].split(",")
values = values[1].split(",")
entries = list(map(int, entries))
values = list(map(int, values))
TDS.appendLinked(entries, values)
print(trainer.activateOnDataSet(TDS))
#training_data, validation_data, test_data = mnistloader.load_data_wrapper()
#net = network.Network([16,30, 26])
#net.SGD(training_data, 30, 10, 3.0, test_data=testing_data)
