from pygenalgo.genome.chromosome import Chromosome
from pygenalgo.operators.genetic_operator import GeneticOperator
[docs]
class CrossoverOperator(GeneticOperator):
"""
Description:
Provides the base class (interface) for a Crossover Operator.
"""
def __init__(self, crossover_probability: float) -> None:
"""
Construct a 'CrossoverOperator' object with a
given probability value.
:param crossover_probability: (float).
"""
# Call the super constructor with the provided
# probability value.
super().__init__(crossover_probability)
# _end_def_
[docs]
def crossover(self, parent1: Chromosome, parent2: Chromosome) -> tuple[Chromosome, Chromosome]:
"""
Abstract method that "reminds" the user that if they want to
create a Crossover Class that inherits from here they should
implement a crossover method.
:param parent1: (Chromosome).
:param parent2: (Chromosome).
:return: Nothing but raising an error.
"""
raise NotImplementedError(f"{self.__class__.__name__}: "
f"You should implement this method!")
# _end_def_
def __call__(self, *args, **kwargs):
"""
This is only a wrapper of the "crossover" method.
"""
return self.crossover(*args, **kwargs)
# _end_def_
# _end_class_