class_docstr: An EP class, inherited from Optimizer.
  
  This is the designed class to define EP-related
  variables and methods.
  
  References:
      A. E. Eiben and J. E. Smith. Introduction to Evolutionary Computing.
      Natural Computing Series (2013).
docstr: Clipping ratio to helps the algorithm's convergence.
docstr_tok: ["Clipping","ratio","to","helps","the","algorithm","'s","convergence","."]
code: def clip_ratio(self) -> float:
      """Clipping ratio to helps the algorithm's convergence."""
  
      return self._clip_ratio
  
imports: import copy
  from typing import Any, Dict, Optional
  import numpy
  import opytimizer.math.random
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.agent import Agent
  from opytimizer.core.function import Function
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 4 for calling the EP obj's underlying member method code with example usage: obj.clip_ratio() and returns: self