Renamed files

src/crossover/Crossover.py

@@ -46,12 +46,14 @@ class Population:
     """Methods for selecting chromosomes to crossover."""
 
 
-    def sequential(ga, mating_pool):
+    def sequential(ga):
         """Select sequential pairs from the mating pool.
         Every parent is paired with the previous parent.
         The first parent is paired with the last parent.
         """
-            
+
+        mating_pool = ga.population.mating_pool
+
         for index in range(len(mating_pool)):  # for each parent in the mating pool
             ga.crossover_individual_impl(      #     apply crossover to
                 mating_pool[index],            #         the parent and
@@ -59,11 +61,13 @@ class Population:
             )
 
 
-    def random(ga, mating_pool):
+    def random(ga):
         """Select random pairs from the mating pool.
         Every parent is paired with a random parent.
         """
 
+        mating_pool = ga.population.mating_pool
+
         for parent in mating_pool:          # for each parent in the mating pool
             ga.crossover_individual_impl(   #     apply crossover to
                 parent,                     #         the parent and

src/parent/Parent.py

@@ -15,7 +15,6 @@ def _check_selection_probability(selection_method):
         else:
             raise Exception("Selection probability must be between 0 and 1 to select parents.")
 
-    new_method.__name__ = selection_method.__name__
     return new_method
 
 
@@ -32,7 +31,6 @@ def _check_positive_fitness(selection_method):
         else:
             raise Exception("Converted fitness values can't have negative values or be all 0. Consider using rank selection or stochastic selection instead.")
 
-    new_method.__name__ = selection_method.__name__
     return new_method
 
 
@@ -43,10 +41,9 @@ def _ensure_sorted(selection_method):
     """
 
     def new_method(ga):
-        ga.population.sort_by_best_fitness(ga)
+        ga.sort_by_best_fitness()
         selection_method(ga)
 
-    new_method.__name__ = selection_method.__name__
     return new_method
 
 
@@ -61,7 +58,6 @@ def _compute_parent_amount(selection_method):
         parent_amount = max(2, round(len(ga.population)*ga.parent_ratio))
         selection_method(ga, parent_amount)
 
-    new_method.__name__ = selection_method.__name__
     return new_method
 
 

src/structure/gene.py

@@ -16,7 +16,7 @@ class Gene:
 
     def __eq__(self, other_gene):
         """Comparing two genes by their value."""
-        return self.value == Gene(other_value).value
+        return self.value == Gene(other_gene).value
 
 
     def __repr__(self):