docs: def parse_frames(filename):
      ''' quick and dirty eprime txt file parsing - doesn\'t account for nesting 
      
      **Example usage**::
      
          for frame in neural.eprime.parse_frames("experiment-1.txt"):
              trial_type = frame['TrialSlide.Tag']
              trial_rt = float(frame['TrialSlide.RT'])
              print '%s: %fms' % (trial_type,trial_rt)
      '''
      frames = []
      frame = {}
      data = nl.universal_read(filename)
      lines = [x.strip() for x in data.split('\n')]
      for line in lines:
          if line == '*** LogFrame Start ***':
              frame = {}
          if line == '*** LogFrame End ***':
              frames.append(frame)
              yield frame
          fields = line.split(": ")
          if len(fields)==2:
              frame[fields[0]] = fields[1]