docstr: Smoothing parameters used at a given level.
  
  Returns the smoothing parameters (a scalar for each axis) used at the
  requested level of the scale space
  
  Parameters
  ----------
  level : int, 0 <= from_level < L, (L = number of resolutions)
      the scale space level to get the smoothing parameters from
  
  Returns
  -------
  the smoothing parameters at the requested level
docstr_tok: ["Smoothing","parameters","used","at","a","given","level",".","Returns","the","smoothing","parameters","(","a","scalar","for","each","axis",")","used","at","the","requested","level","of","the","scale","space","Parameters","--","--","--","--","--","level",":","int",",","0","<","=","from_level","<","L",",","(","L","=","number","of","resolutions",")","the","scale","space","level","to","get","the","smoothing","parameters","from","Returns","--","--","--","-","the","smoothing","parameters","at","the","requested","level"]
code: def get_sigmas(self, level):
      """Smoothing parameters used at a given level.
  
      Returns the smoothing parameters (a scalar for each axis) used at the
      requested level of the scale space
  
      Parameters
      ----------
      level : int, 0 <= from_level < L, (L = number of resolutions)
          the scale space level to get the smoothing parameters from
  
      Returns
      -------
      the smoothing parameters at the requested level
  
      """
      return self._get_attribute(self.sigmas, level)
  
imports: import logging
  from dipy.align import floating
  import numpy
  import numpy.linalg
  from scipy.ndimage import gaussian_filter
label_desc: Use image node_id 11 for calling the ScaleSpace obj's underlying member method code with example usage: obj.get_sigmas(level) and returns: self