class_docstr: A FSO class, inherited from Optimizer.
  
  This is the designed class to define FSO-related
  variables and methods.
  
  References:
      G. Azizyan et al.
      Flying Squirrel Optimizer (FSO): A novel SI-based optimization algorithm for engineering problems.
      Iranian Journal of Optimization (2019).
code: def beta(self, beta: float) -> None:
      if not isinstance(beta, (float, int)):
          raise e.TypeError("`beta` should be a float or integer")
      if beta <= 0 or beta > 2:
          raise e.ValueError("`beta` should be between 0 and 2")
  
      self._beta = beta
  
file_path: opytimizer/opytimizer/optimizers/swarm/fso.py
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 3 for calling the FSO obj's underlying member method code with example usage: obj.beta(beta) without return types