text: import datetime
  from copy import deepcopy
  
  import numpy as np
  import pandas as pd
  
  from GFF import GFF3entry, GFF
  
  
  def convertGFFtoMIL(scoreGFFs, labelGFF, name, path):
  
      mil = milData(name)
  
      ## we have a list of GFFfiles where we can extract scores from
      ## GFF files are assumed to have the same number of data points
  
  
      ## load data if not already done
      for gff in scoreGFFs:
          if gff.data is None:
              gff.parse()
      if labelGFF.data is None:
          labelGFF.parse()
  
      ## check if all gff files have same number of data points
      N_x = len(labelGFF.data)
      for gff in scoreGFFs:
          if len(gff.data) != N_x:
              raise ValueError("All GFF files need same amount of data")
  
  
      ## go through all instances
      for i in range(N_x):
          ## collect scores from all GFF files
  
          scores = np.zeros((len(scoreGFFs)))
          ID = labelGFF.data[i].attributes["ID"]
          for g, gff in enumerate(scoreGFFs):
              if gff.data[i].attributes["ID"] != ID:
                  raise ValueError("ID not equal for GFF files")
              scores[g] = gff.data[i].scores
          label = 0
          if labelGFF.data[i].scores > 0:
              label = 1
  
          mil.add_x(ID, scores, label)
  
      mil.del_singleEntires()
      mil.scale()
      mil.save(path)
  