old_contents: def main():
      hist_txt_to_json()
  
  def hist_txt_to_json():
      j = open('HistologyLesions.json', 'w')
      j.write('{\n')
  
      index = True
      benign = False
      with open('HistologyLesions.txt', 'r') as t:
          tfile = t.readlines()
  
      for td in tfile:
          td = td[:-1]
  
          if 'pca' in td and index:
              j.write('\t"pca": [\n')
              j.write('\t\t{\n\t\t\t"region": "%s",\n' % td.split(',')[1])
              j.write('\t\t\t"volume_cc": %.1f,\n' % float(td.split(',')[2]))
              j.write('\t\t\t"Gleason": %i,\n' % float(td.split(',')[3]))
              j.write('\t\t\t"index": true\n\t\t}')
              index = False
          elif 'pca' in td and not index:
              j.write(',\n')
              j.write('\t\t{\n\t\t\t"region": "%s",\n' % td.split(',')[1])
              j.write('\t\t\t"volume_cc": %.1f,\n' % float(td.split(',')[2]))
              j.write('\t\t\t"Gleason": %i,\n' % float(td.split(',')[3]))
              j.write('\t\t\t"index": false\n\t\t}')
  
          if ('atrophy' in td) or ('bph' in td):
              if not benign:
                  j.write('],\n')
              else:
                  j.write(',\n')
              num_regions = len(td.split(',')[1:])
              j.write('\t"%s": {\n\t\t"regions": [' % td.split(',')[0])
              for n, r in enumerate(td.split(',')[1:]):
                  if n < (num_regions-1):
                      j.write('"%s", ' % r[1:])
                  else:
                      j.write('"%s"]\n\t\t}' % r[1:])
              benign = True
  
      j.write('\n}')
  
  if __name__ == '__main__':
      main()
  
new_contents: def main():
      hist_txt_to_json()
  
  def hist_txt_to_json():
      j = open('HistologyLesions.json', 'w')
      j.write('{\n')
  
      index = True
      benign = False
      with open('HistologyLesions.txt', 'r') as t:
          tfile = t.readlines()
  
      for td in tfile:
          td = td[:-1]
  
          if 'pca' in td and index:
              j.write('\t"pca": [\n')
              j.write('\t\t{\n\t\t\t"region": "%s",\n' % td.split(',')[1])
              j.write('\t\t\t"volume_cc": %.1f,\n' % float(td.split(',')[2]))
              j.write('\t\t\t"Gleason": %i,\n' % float(td.split(',')[3]))
              j.write('\t\t\t"index": true\n\t\t}')
              index = False
          elif 'pca' in td and not index:
              j.write(',\n')
              j.write('\t\t{\n\t\t\t"region": "%s",\n' % td.split(',')[1])
              j.write('\t\t\t"volume_cc": %.1f,\n' % float(td.split(',')[2]))
              j.write('\t\t\t"Gleason": %i,\n' % float(td.split(',')[3]))
              j.write('\t\t\t"index": false\n\t\t}')
  
          if ('atrophy' in td) or ('bph' in td):
              if not benign:
                  j.write('],\n')
              else:
                  j.write(',\n')
              num_regions = len(td.split(',')[1:])
              j.write('\t"%s": {\n\t\t"regions": [' % td.split(',')[0])
              for n, r in enumerate(td.split(',')[1:]):
                  if n < (num_regions-1):
                      j.write('"%s", ' % r[1:])
                  else:
                      j.write('"%s"]\n\t\t}' % r[1:])
              benign = True
          else:
              j.write(']\n')
  
      j.write('\n}')
  
  if __name__ == '__main__':
      main()
  
subject: correct error if only pca and no benign lesions