def test_output():
wb = xlwt.Workbook()
sheet1 = wb.add_sheet('Channel Use #' + str(1))
sheet1.write(0, 0, 'user id')
sheet1.write(0, 1, 'channel tap')
sheet1.write(0, 2, 'transmitter id')
sheet1.write(0, 3, 'channel')
sheet1.write(0, 4, 'time lot')
sheet1.write(0, 5, 'input')
sheet1.write(0, 6, 'desired')
sheet1.write(0, 7, 'output')
d = IO.DataWriter()
d.data_to_xl(wb, 'testing')
return
def __create_train_data(self, power: float, mode: str):
"""creating data set to train models"""
writer = IO.DataWriter()
gen = self.__model_train
if mode == 'binary':
data_set = gen.record_data_set_binary(power=power, factors=self.__factor, line=b_line)
elif mode == 'ternary':
data_set = gen.record_data_set_ternary(power=power, factors=self.__factor, line=t_line)
elif mode == 'quaternary':
data_set = gen.record_data_set_quadrature(power=power, factors=self.__factor, line=q_line)
else:
data_set = gen.record_data_set_sixteen(power=power, factors=self.__factor, line=s_line)
name = 'train_set'
# comment = self.__get_comment_train(power=power)
writer.frame_to_csv(data_set, name)
# writer.comment_csv(comment, name)
return
def __create_test_data(self, powers, mode: str):
"""creating data set to test models"""
writer = IO.DataWriter()
gen = self.__model_test
for power in powers:
if mode == 'binary':
data_set = gen.record_data_set_binary(power=power, factors=self.__factor, line=b_line)
elif mode == 'ternary':
data_set = gen.record_data_set_ternary(power=power, factors=self.__factor, line=t_line)
elif mode == 'quaternary':
data_set = gen.record_data_set_quadrature(power=power, factors=self.__factor, line=q_line)
else:
data_set = gen.record_data_set_sixteen(power=power, factors=self.__factor, line=s_line)
name = 'test_' + ('%.2f' % power)
# comment = self.__get_comment_test(power=power)
writer.frame_to_csv(data_set, name)
# writer.comment_csv(comment, name)
return