new_contents: %load_ext autoreload
  %autoreload 2
  import numpy as np
  import pandas as pd
  import random
  from Utils import *
  import matplotlib.pyplot as plt
  %matplotlib inline
  initialization()
  
  Sunspot=pd.read_excel("Sunspot_series.xls", header=None)[1].values[0:-1]
  Sc=MinMaxScaler(feature_range=(-.8, .8))
  Sunspot_normed=Sc.fit_transform(Sunspot.reshape(-1, 1))
  Data=Sunspot_normed.copy() # normalized data
  
  n_training=221
  
  y_a=Sc.inverse_transform(Data) #actual data
  
  Train_orig=y_a[:n_training]  #y_a
  Test_orig=y_a[n_training:]#Sunspot_normed
  
  
  Error, MinFit,MaxFit,AvgFit,UNI,Train_predict,Test_predict,Network=Evolution(Data,y_a,n_training,Sc)
  
subject: Create main.py