def main(filepath, modelpath):
""" main function
Args:
filepath ([txt]): filepath containing our dataset
modelpath ([h5]): modelpath containing our model
"""
df, eng_deu_lines = read_file(filepath)
dfp = process_data(df)
eng_deu = data_array(dfp)
eng_tok = token(eng_deu[:, 0])
eng_len_vocab = len(eng_tok.word_index) + 1
deu_tok = token((eng_deu[:, 1]))
deu_len_vocab = len(deu_tok.word_index) + 1
data_train, data_test = train_test_split(eng_deu, test_size=0.2,
random_state=1)
X_train = encoding(data_train[:, 1], 8, deu_tok)
y_train = encoding(data_train[:, 0], 8, eng_tok)
X_test = encoding(data_test[:, 1], 8, deu_tok)
y_test = encoding(data_test[:, 1], 8, deu_tok)
model = load_model(modelpath)
preds = model.predict_classes(X_test.reshape((X_test.shape[0],
X_test.shape[1])))
df_preds = prediction(preds, eng_tok)
return df_preds
timestamp_former=dp.read_file("edison/1.txt",3)
timestamp_backer=dp.read_file('edison/2.txt',3)
title='clock skew between Edison1 and Edison 2 '
elif index==1:
timestamp_former=dp.read_file("edison/1.txt",3)
timestamp_backer=dp.read_file("edison/3.txt",3)
title='clock skew between Edison1 and Edison 3 '
elif index==2:
timestamp_former=dp.read_file('edison/2.txt',3)
timestamp_backer=dp.read_file("edison/3.txt",3)
title='clock skew between Edison2 and Edison 3 '
'''
if index ==0:
timestamp_former=dp.read_file("arduino/1.txt",2)
timestamp_backer=dp.read_file('edison/1.txt',3)
#timestamp_former=dp.read_file("save/scalable/800MBit/arduino.txt",2)
#timestamp_backer=dp.read_file('save/scalable/800MBit/edison.txt',3)
#title='IP stack (arduino- Edison) '
title='Tra-Tre without background traffic '
elif index==1:
timestamp_former=dp.read_file("arduino/1.txt",0)
timestamp_backer=dp.read_file("edison/1.txt",0)
#timestamp_former=dp.read_file("save/scalable/800MBit/arduino.txt",0)
#timestamp_backer=dp.read_file('save/scalable/800MBit/edison.txt',0)
title='Tsa-Tse without background traffic '
elif index==2:
timestamp_former=dp.read_file('edison/data.txt',0)
table_size.set_fontsize(12)
table_size.scale(1,1)
##set legend position
curve.legend(bbox_to_anchor=(1.05, 1.05))
plt.show()
if __name__=="__main__":
## main code for multicurve
print "draw.py"
timestamp_former=dp.read_file('edison/data/0%.txt',3)##edison receiver
timestamp_backer=dp.read_file('edison/data/0%.txt',0)##edison sender
zero_data=dp.data_process_2(timestamp_former,timestamp_backer)
timestamp_former=dp.read_file('edison/data/20%.txt',3)##edison receiver
timestamp_backer=dp.read_file('edison/data/20%.txt',0)##edison sender
ten_data=dp.data_process_2(timestamp_former,timestamp_backer)
timestamp_former=dp.read_file('edison/data/50%.txt',3)##edison receiver
timestamp_backer=dp.read_file('edison/data/50%.txt',0)##edison sender
five_data=dp.data_process_2(timestamp_former,timestamp_backer)
timestamp_former=dp.read_file('edison/data/90%.txt',3)##edison receiver
timestamp_backer=dp.read_file('edison/data/90%.txt',0)##edison sender
nine_data=dp.data_process_2(timestamp_former,timestamp_backer)
