Replace format() str method by f-string

Author: ahmedfgad

tests/test_allow_duplicate_genes.py

@@ -56,7 +56,7 @@ def fitness_func(ga, solution, idx):
             print(solution)
         num_duplicates += num
 
-    print("Number of duplicates is {num_duplicates}.".format(num_duplicates=num_duplicates))
+    print(f"Number of duplicates is {num_duplicates}.")
     return num_duplicates
 
 def test_number_duplicates_default():

tests/test_crossover_mutation.py

@@ -66,7 +66,7 @@ def fitness_func(ga, solution, idx):
     comparison_result = numpy.array(comparison_result)
     result = numpy.all(comparison_result == True)
 
-    print("Comparison result is {result}".format(result=result))
+    print(f"Comparison result is {result}")
     return result, ga_instance
 
 def test_no_crossover_no_mutation():

tests/test_gene_space.py

@@ -188,7 +188,7 @@ def fitness_func(ga, solution, idx):
                         else:
                             num_outside += 1
 
-    print("Number of outside range is {num_outside}.".format(num_outside=num_outside))
+    print(f"Number of outside range is {num_outside}.")
     return num_outside, ga_instance
 
 def test_gene_space_range():

tests/test_gene_space_allow_duplicate_genes.py

@@ -121,7 +121,7 @@ def fitness_func(ga, solution, idx):
                         else:
                             num_outside += 1
 
-    print("Number of outside range is {num_outside}.".format(num_outside=num_outside))
+    print(f"Number of outside range is {num_outside}.")
     return num_outside, ga_instance
 
 def test_gene_space_range():

tests/test_lifecycle_callbacks_calls.py

@@ -75,8 +75,8 @@ def on_stop(ga_instance, last_population_fitness):
     # Use 'generations_completed' instead of 'num_generations' because the evolution may stops in the on_generation() callback.
     expected_num_callbacks_calls = 1 + ga_instance.generations_completed * 5 + 1
 
-    print("Expected {expected_num_callbacks_calls}.".format(expected_num_callbacks_calls=expected_num_callbacks_calls))
-    print("Actual {actual_num_callbacks_calls}.".format(actual_num_callbacks_calls=actual_num_callbacks_calls))
+    print(f"Expected {expected_num_callbacks_calls}.")
+    print(f"Actual {actual_num_callbacks_calls}.")
     return actual_num_callbacks_calls, expected_num_callbacks_calls
 
 def number_lifecycle_callback_methods_calls(stop_criteria=None,
@@ -154,8 +154,8 @@ def on_stop(self, ga_instance, last_population_fitness):
     # Use 'generations_completed' instead of 'num_generations' because the evolution may stops in the on_generation() callback.
     expected_num_callbacks_calls = 1 + ga_instance.generations_completed * 5 + 1
 
-    print("Expected {expected_num_callbacks_calls}.".format(expected_num_callbacks_calls=expected_num_callbacks_calls))
-    print("Actual {actual_num_callbacks_calls}.".format(actual_num_callbacks_calls=actual_num_callbacks_calls))
+    print(f"Expected {expected_num_callbacks_calls}.")
+    print(f"Actual {actual_num_callbacks_calls}.")
     return actual_num_callbacks_calls, expected_num_callbacks_calls
 
 def test_number_lifecycle_callback_functions_calls():

tests/test_number_fitness_function_calls.py

@@ -56,8 +56,8 @@ def fitness_func(ga, solution, idx):
         if mutation_type == "adaptive":
             expected_num_fitness_calls += num_generations * (sol_per_pop - keep_elitism)
 
-    print("Expected number of fitness function calls is {expected_num_fitness_calls}.".format(expected_num_fitness_calls=expected_num_fitness_calls))
-    print("Actual number of fitness function calls is {actual_num_fitness_calls}.".format(actual_num_fitness_calls=actual_num_fitness_calls))
+    print(f"Expected number of fitness function calls is {expected_num_fitness_calls}.")
+    print(f"Actual number of fitness function calls is {actual_num_fitness_calls}.")
     return actual_num_fitness_calls, expected_num_fitness_calls
 
 def test_number_calls_fitness_function_default_keep():