class_docstr: Sampling distribution for mystic optimizers
      
class_docstr_tok: ["Sampling","distribution","for","mystic","optimizers"]
code: def __repr__(self):
      return self.repr(self.__class__.__name__, self.norm)
  
file_path: mystic/mystic/math/__init__.py
imports: from .poly import polyeval, poly1d
  from .grid import gridpts, samplepts, fillpts
  from .approx import almostEqual, tolerance
  from .approx import approx_equal
  from .None import discrete
  from .None import distance
label_desc: Use image node_id 3 for calling the Distribution obj's underlying member method code with example usage: obj.__repr__() and returns: self