class_docstr: A FPA class, inherited from Optimizer.
  
  This is the designed class to define FPA-related
  variables and methods.
  
  References:
      X.-S. Yang. Flower pollination algorithm for global optimization.
      International conference on unconventional computing and natural computation (2012).
docstr: Lévy flight control parameter.
docstr_tok: ["L\u00e9vy","flight","control","parameter","."]
code: def beta(self) -> float:
      """Lévy flight control parameter."""
  
      return self._beta
  
imports: import copy
  from typing import Any, Dict, Optional
  import numpy
  import opytimizer.math.distribution
  import opytimizer.math.random
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.function import Function
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 2 for calling the FPA obj's underlying member method code with example usage: obj.beta() and returns: self