text: # -*- coding: utf-8 -*-
  import os
  import numpy as np
  import sys
  import logging
  import csv
  from statistics import mean 
  
  
  tar = [28827, 62094, 62286, 65213, 66443, 73413, 46073, 62099, 65183, 65229, 66964, 96824]
  backs = ['1KG']
  for back in backs:
      input_file = "../output/cv_g/CV_" + back + "/train.csv"
      count_all = []
       
      with open(input_file) as csvfile:
          reader = csv.DictReader(csvfile)
          case = ""
          count = 0
          gene_all = []
          all_cases_gene = {}
          all_cases_label = {}
          all_cases_score = {}
          for row in reader:
              tmp_case = row["case"]
              gene = row["gene_symbol"]
              label = row["label"]
              score = row["cadd_phred_score"]
              #if score == 'nan':
              #    continue
              score = float(score)
              if gene in gene_all and tmp_case == case:
                  print(gene)
              if tmp_case in all_cases_gene:
                  all_cases_gene[tmp_case].append(gene)
                  all_cases_label[tmp_case].append(label)
                  all_cases_score[tmp_case].append(score)
              else:
                  all_cases_gene.update({tmp_case:[gene]})
                  all_cases_label.update({tmp_case:[label]})
                  all_cases_score.update({tmp_case:[score]})
      count = [len(all_cases_gene[x]) for x in all_cases_gene]
      print(mean(count))
  