Fix selecting a unique value from gene space

Author: Ahmed Gad

pygad/__pycache__/pygad.cpython-310.pyc

@@ -349,9 +349,12 @@ def generate_gene_value_from_space(self,
                 # We must check if the selected value will respect the allow_duplicate_genes parameter.
                 # Instead of selecting a value randomly, we have to select a value that will be unique if allow_duplicate_genes=False.
                 # Only select a value from the current gene space that is, hopefully, unique.
+                print("KKKKKKKK", value_from_space)
                 value_from_space = self.select_unique_value(gene_values=value_from_space,
                                                             solution=solution,
                                                             gene_index=gene_idx)
+                print("<<<<<<<<<<", value_from_space)
+                # TODO WHY THIS VALUE IS NONE
 
             # The gene space might be [None, 1, 7].
             # It might happen that the value None is selected.

pygad/helper/__pycache__/misc.cpython-310.pyc

@@ -262,14 +262,14 @@ def select_unique_value(self, gene_values, solution, gene_index):
         """
 
         values_to_select_from = list(set(list(gene_values)) - set(solution))
+        print("PPPPPPPPP", values_to_select_from)
 
         if len(values_to_select_from) == 0:
             # If there are no values, then keep the current gene value.
             if not self.suppress_warnings: warnings.warn(f"'allow_duplicate_genes=False' but cannot find a unique value for the gene at index {gene_index} with value {solution[gene_index]}.")
             selected_value = solution[gene_index]
         else:
             selected_value = random.choice(values_to_select_from)
-
         return selected_value
 
     def unique_genes_by_space(self, 

pygad/helper/__pycache__/unique.cpython-310.pyc

@@ -1376,7 +1376,7 @@ def initialize_population(self,
             # 4) Solve duplicates if not allowed.
 
         # Create an empty population.
-        self.population = numpy.zeros(shape=self.pop_size, dtype=object)
+        self.population = numpy.empty(shape=self.pop_size, dtype=object)
 
         # 1) Create the initial population either randomly or using the gene space.
         if self.gene_space is None:
@@ -1404,6 +1404,7 @@ def initialize_population(self,
                                                                                              gene_value=None,
                                                                                              solution=self.population[sol_idx],
                                                                                              sample_size=1)
+                    print('AAAAAAAAA', self.population[sol_idx, gene_idx])
 
         # 2) Change the data type and round all genes within the initial population.
         self.population = self.change_population_dtype_and_round(self.population)

pygad/helper/misc.py

@@ -168,7 +168,7 @@ def test_gene_space_dict_with_step():
     assert num_outside == 0
 
 def test_gene_space_list_single_value():
-    num_outside, ga_instance = number_respect_gene_space(gene_space=[5], allow_duplicate_genes=True)
+    num_outside, ga_instance = number_respect_gene_space(gene_space=[5])
 
     assert num_outside == 0