class_docstr: A BOA class, inherited from Optimizer.
  
  This is the designed class to define BOA-related
  variables and methods.
  
  References:
      S. Arora and S. Singh. Butterfly optimization algorithm: a novel approach for global optimization.
      Soft Computing (2019).
docstr: Compiles additional information that is used by this optimizer.
  
  Args:
      space: A Space object containing meta-information.
docstr_tok: ["Compiles","additional","information","that","is","used","by","this","optimizer",".","Args",":","space",":","A","Space","object","containing","meta-information","."]
code: def compile(self, space: Space) -> None:
      """Compiles additional information that is used by this optimizer.
  
      Args:
          space: A Space object containing meta-information.
  
      """
  
      self.fragrance = np.zeros(space.n_agents)
  
imports: from typing import Any, Dict, Optional
  import numpy
  import opytimizer.math.random
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 10 for calling the BOA obj's underlying member method code with example usage: obj.compile(space) without return types