new_contents: import pickle
  import matplotlib.pyplot as plt
  import os
  import sys
  import numpy as np
  import matplotlib.pyplot as plt
  from mpl_toolkits.axes_grid1 import make_axes_locatable
  
  
  def read_res(fname):
      f=open(fname,'rb')
      R=pickle.load(f)
  
      val = R['val_acc']
      test = R['test_acc']
      best_idx=np.argmax(val)
      ftest = test[best_idx]
  
      return ftest
  
  def read_max_res(fname):
      f = open(fname, 'rb')
      R = pickle.load(f)
  
      val = R['val_acc']
      test = R['test_acc']
  
  
      return np.max(test)
  
  
  
  def print_res(Fs,Cs,P):
  
      num_c = len(Cs)
  
      for c in Cs:
          line_res = ''
          avg = 0.0
          valid_fold = 0
          # print('c',c)
          for f in Fs:
              # print('F ',f)
              k = str(f) + ':' + str(c)
              print('K', k)
              if k in P:
                  line_res += '%.4f' % P[k] + ' &'
                  avg += P[k]
                  valid_fold += 1
              else:
                  line_res += '    &'
  
          if valid_fold > 0:
              print('A', avg, valid_fold)
              a = avg / float(valid_fold)
              line_res += '%.4f' % a + "\\\\ \n"
          else:
              line_res += "   \\\\\n"
          print('C' + str(c), line_res)
  
  
  def get_res(folder_resname):
      L=os.listdir(folder_resname)
      F=[]
      C=[]
  
      P={}
      M={}
      for fname in L:
          s=fname.replace('.pickle','')
          tok=s.split('_')
          foldid=int(tok[1][1:])
          configid=int(tok[2][1:])
          F.append(foldid)
          C.append(configid)
  
          fn=os.path.join(folder_resname,fname)
          perf = read_res(fn)
          max_perf =read_max_res(fn)
  
          print(foldid, configid,perf)
  
          P[str(foldid)+':'+str(configid)]=perf
          M[str(foldid)+':'+str(configid)]=max_perf
  
      Fs = sorted(np.unique(F))
      Cs = sorted(np.unique(C))
  
      print_res(Fs,Cs,P)
      #print_res(Fs, Cs, M)
      #Strange that on Fold1, I get not so good results a I used to have better results
      #Did i change something, use a smaller validation set ? 10% instead of 20
  
  
  import pickle
  
  
  def plot_We(fn = 'table_plot_wE/table_F1_C5.pickle'):
  
  
      f = open(fn, 'rb')
      R = pickle.load(f)
      f.close()
      R
      R.keys()
      We = R['W_edge']
      len(We)
  
  
  
      W.shape
      W = np.vstack(We)
      W.shape
  
      plt.figure()
      ax = plt.gca()
      im=ax.imshow(W)
      divider = make_axes_locatable(ax)
      cax = divider.append_axes("right", size="5%", pad=0.05)
      plt.colorbar(im, cax=cax)
  
  
  if __name__ == '__main__':
      folder_resname=sys.argv[1]
  
      get_res(folder_resname)
  
  
  
subject: print res and plot Wedge