code: def qtiling(fseries, qrange, frange, mismatch=0.2):
      
      qplane_tile_dict = {}
      qs = list(_iter_qs(qrange, deltam_f(mismatch)))
      for q in qs:
          qtilefreq = _iter_frequencies(q, frange, mismatch, fseries.duration)
          qplane_tile_dict[q] = numpy.array(list(qtilefreq))
  
      return qplane_tile_dict
docs: Iterable constructor of QTile tuples
  
      Parameters
      ----------
      fseries: 'pycbc FrequencySeries'
          frequency-series data set
      qrange:
          upper and lower bounds of q range
      frange:
          upper and lower bounds of frequency range
      mismatch:
          percentage of desired fractional mismatch
  
      Returns
      -------
      qplane_tile_dict: 'dict'
          dictionary containing Q-tile tuples for a set of Q-planes