if True:
normalized = True
files_withlabel = [
r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/qpsk/leaf_4span_data_attenuation_=1.txt',
r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/qpsk/leaf_4span_data_attenuation_=2.txt',
r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/qpsk/leaf_4span_data_attenuation_=3.txt',
r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/qpsk/leaf_4span_data_attenuation_=4.txt',
]
##
#
tmp = []
for filename in files_withlabel:
X, Y, labels = parse(filename,
startchannel=42,
endchannel=52,
label=True)
if db_to_dec:
X[X == 0] = -float('inf')
X = 10**(X / 10)
if target == 'Q':
Y = BER2Q(Y)
data = np.concatenate([X, Y, labels], axis=1)
tmp.append(data)
#
# for filename in files_nolabel:
# X,Y,labels = parse(filename,startchannel=42,endchannel=52,label=None)
# if db_to_dec:
# X[X==0] = -float('inf')
# X = 10**(X/10)
# if target=='Q':
# ]
# files_withlabel = [
# r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/16qam/leaf_4span_data_attenuation_=6.5.txt',
# r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/16qam/leaf_4span_data_attenuation_=7.txt',
# r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/16qam/leaf_4span_data_attenuation_=7.5.txt',
# r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/16qam/leaf_4span_data_attenuation_=8.txt',
# r'/home/onsi/wmo/forIntern/modules/NonlinearTestbed/data/leaf_4span/16qam/leaf_4span_data_attenuation_=8.5.txt',
# ]
###
#
tmp = []
for filename in files_withlabel:
X, OSNR, N, Y, labels = parse(filename,
startchannel=42,
endchannel=52,
label=True)
if db_to_dec:
X[X == 0] = -float('inf')
X = 10**(X / 10)
if target == 'Q':
Y = BER2Q(Y)
if N.any():
data = np.concatenate([X, Y, N], axis=1)
else:
data = np.concatenate([X, Y], axis=1)
tmp.append(data)
#
# for filename in files_nolabel:
# X,Y,labels = parse(filename,startchannel=42,endchannel=52,label=None)
# if db_to_dec: