class_docstr: Computes lorentzian
      
code: def __init__(
      self, name="lorentz", metric=lambda x: numpysum(x * x), sigma=1.0
  ):
      AbstractModel.__init__(self, name, metric, sigma)
      return
  
file_path: mystic/mystic/models/lorentzian.py
imports: from .abstract_model import AbstractModel
  from numpy import sum
  from numpy import array, pi, asarray, arange
  import random
  from numpy import histogram
label_desc: Use image node_id 1 to create a new Lorentzian object from inherited base classes: AbstractModel with example: obj = Lorentzian(name, metric, sigma)