Removed initialization methods

src/EasyGA.py

@@ -11,7 +11,6 @@ from structure import Gene       as make_gene
 
 # Structure Methods
 from fitness_function  import Fitness_Examples
-from initialization    import Initialization_Methods
 from termination_point import Termination_Methods
 
 # Parent/Survivor Selection Methods
@@ -239,7 +238,26 @@ class GA(Attributes):
         that is currently set.
         """
 
-        self.population = self.initialization_impl(self)
+        if self.chromosome_impl is not None:
+            self.population = self.make_population(
+                self.chromosome_impl()
+                for _
+                in range(self.population_size)
+            )
+
+        elif self.gene_impl is not None:
+            self.population = self.make_population(
+                (
+                    self.gene_impl()
+                    for _
+                    in range(self.chromosome_length)
+                )
+                for _
+                in range(self.population_size)
+            )
+
+        else:
+            raise ValueError("No chromosome or gene impl specified.")
 
 
     def set_all_fitness(self):

src/attributes.py

@@ -12,7 +12,6 @@ from structure import Gene       as make_gene
 
 # Structure Methods
 from fitness_function  import Fitness_Examples
-from initialization    import Initialization_Methods
 from termination_point import Termination_Methods
 
 # Parent/Survivor Selection Methods
@@ -66,7 +65,6 @@ class Attributes:
             max_gene_mutation_rate       = 0.15,
             min_gene_mutation_rate       = 0.01,
             dist                         = None,
-            initialization_impl          = Initialization_Methods.random_initialization,
             fitness_function_impl        = Fitness_Examples.is_it_5,
             make_population              = make_population,
             make_chromosome              = make_chromosome,
@@ -133,7 +131,6 @@ class Attributes:
         self.dist = dist
 
         # Default EasyGA implimentation structure
-        self.initialization_impl   = initialization_impl
         self.fitness_function_impl = fitness_function_impl
         self.make_population       = make_population
         self.make_chromosome       = make_chromosome

src/initialization/README.md

@@ -1,11 +0,0 @@
-# Initialization Functions
-
-## random_initialization
-random_initialization class
-
-Takes in
-```
-population_size, chromosome_length, user_defined_function
-```
-Creates a chromosome of random genes based on the user user_defined_function
-that its supplied.

src/initialization/__init__.py

@@ -1,2 +0,0 @@
-# FROM (. means local) file_name IMPORT function_name
-from .initialization_methods import Initialization_Methods

src/initialization/initialization_methods.py

@@ -1,38 +0,0 @@
-def _chromosomes_to_population(initialize):
-    """Makes a population from chromosomes."""
-    return lambda ga:\
-        ga.make_population(
-            (
-                initialize(ga)
-                for _
-                in range(ga.population_size)
-            )
-        )
-
-
-class Initialization_Methods:
-    """Initialization examples that are used as defaults and examples"""
-
-    # Private method decorators, see above.
-    _chromosomes_to_population = _chromosomes_to_population
-
-
-    @_chromosomes_to_population
-    def random_initialization(ga):
-        """Takes the initialization inputs and returns a collection of values.
-        Method decorators convert them to a GA population object.
-        """
-
-        # Using the chromosome_impl to set every index inside of the chromosome
-        if ga.chromosome_impl is not None:
-            for value in ga.chromosome_impl():
-                yield value
-
-        # Using the gene_impl to set every gene to be the same
-        elif ga.gene_impl is not None:
-            for _ in range(ga.chromosome_length):
-                yield ga.gene_impl()
-
-        # Exit because no gene creation method specified
-        else:
-            raise Exception("Did not specify any initialization constraints.")