code: def compute_log_scales(lmin, lmax, Nscales, t1=1, t2=2):
      r
      scale_min = t1 / lmax
      scale_max = t2 / lmin
      return np.exp(np.linspace(np.log(scale_max), np.log(scale_min), Nscales))
docs: r"""
      Compute logarithm scales for wavelets.
  
      Parameters
      ----------
      lmin : float
          Smallest non-zero eigenvalue.
      lmax : float
          Largest eigenvalue, i.e. :py:attr:`pygsp.graphs.Graph.lmax`.
      Nscales : int
          Number of scales.
  
      Returns
      -------
      scales : ndarray
          List of scales of length Nscales.
  
      Examples
      --------
      >>> from pygsp import utils
      >>> utils.compute_log_scales(1, 10, 3)
      array([2.       , 0.4472136, 0.1      ])