new_contents: from os import listdir, path
  import numpy as np
  
  from patch_headers import fix_int16_images, compare_data_in_fits
  from triage_fits_files import ImageFileCollection
  
  fix_vol = '/Volumes/FULL BACKUP/processed'
  #fix_vol = 'foo'
  raw_vol = '/Volumes/feder_data_originals/ast390/raw'
  
  dirs_to_fix = listdir(fix_vol)
  
  for current_dir in dirs_to_fix:
      current_proc = path.join(fix_vol, current_dir)
      current_raw = path.join(raw_vol, current_dir)
  
      print '----------------- processing directory %s -----------------------' % current_proc
      try:
          test = open(path.join(current_proc,'FIXED_YAY'),'rb')
          print '    >>>>>>>>>>>>>>>>>>skipping this directory, already done.'
          continue
      except IOError:
          pass
          
      fix_int16_images(current_proc)
      files_to_check = ImageFileCollection(current_proc, keywords=['imagetyp'])
      files_to_check = files_to_check.summary_info['file']
      files_match = np.zeros(len(files_to_check), dtype=np.bool)
      for nfil, fil in enumerate(files_to_check):
          fixed_name = path.join(current_proc, fil)
          raw_name = path.join(current_raw, fil)
          files_match[nfil] = compare_data_in_fits(fixed_name, raw_name)
          if not files_match[nfil]:
              print '****************-------> FAIL on file %s' % fixed_name
  
      if not files_match.all():
          print '================>>>>>> One or more failures in directory %s' % current_proc
          crap = open(path.join(current_proc,'FAILED'),'wb')
      else:
          print '++++++++++++++++++ success in directory %s ++++++++++++++++++++++++' % current_proc
          crap = open(path.join(current_proc,'FIXED_YAY'),'wb')
  
      crap.close()
          
          
  
subject: Add script to fix int16 files.