class_docstr: A BSA class, inherited from Optimizer.
  
  This is the designed class to define BSOA-related
  variables and methods.
  
  References:
      P. Civicioglu. Backtracking search optimization algorithm for numerical optimization problems.
      Applied Mathematics and Computation (2013).
class_docstr_tok: ["A","BSA","class",",","inherited","from","Optimizer",".","This","is","the","designed","class","to","define","BSOA-related","variables","and","methods",".","References",":","P.","Civicioglu",".","Backtracking","search","optimization","algorithm","for","numerical","optimization","problems",".","Applied","Mathematics","and","Computation","(","2013",")","."]
docstr: Number of non-crosses.
docstr_tok: ["Number","of","non-crosses","."]
code: def mix_rate(self) -> int:
      """Number of non-crosses."""
  
      return self._mix_rate
  
imports: import copy
  from typing import Any, Dict, List, 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 BSA obj's underlying member method code with example usage: obj.mix_rate() and returns: self