None precision for int dtypes

Author: ahmedfgad

pygad/__init__.py

@@ -1,3 +1,3 @@
 from .pygad import * # Relative import.
 
-__version__ = "3.1.0"
+__version__ = "3.1.1"

pygad/pygad.py

@@ -345,7 +345,11 @@ def __init__(self,
             elif len(gene_type) == 2 and gene_type[0] in GA.supported_float_types and (type(gene_type[1]) in GA.supported_int_types or gene_type[1] is None):
                 self.gene_type = gene_type
                 self.gene_type_single = True
-            # A single data type of int with precision.
+            # A single data type of integer with precision None ([int, None]).
+            elif len(gene_type) == 2 and gene_type[0] in GA.supported_int_types and gene_type[1] is None:
+                self.gene_type = gene_type
+                self.gene_type_single = True
+            # Raise an exception for a single data type of int with integer precision.
             elif len(gene_type) == 2 and gene_type[0] in GA.supported_int_types and (type(gene_type[1]) in GA.supported_int_types or gene_type[1] is None):
                 self.gene_type_single = False
                 raise ValueError(f"Integers cannot have precision. Please use the integer data type directly instead of {gene_type}.")
@@ -362,10 +366,8 @@ def __init__(self,
                     self.valid_parameters = False
                     raise ValueError(f"When the parameter 'gene_type' is nested, then it can be either [float, int<precision>] or with length equal to the value passed to the 'num_genes' parameter. Instead, value {gene_type} with len(gene_type) ({len(gene_type)}) != len(num_genes) ({num_genes}) found.")
                 for gene_type_idx, gene_type_val in enumerate(gene_type):
-                    if gene_type_val in GA.supported_float_types:
-                        # If the gene type is float and no precision is passed, set it to None.
-                        gene_type[gene_type_idx] = [gene_type_val, None]
-                    elif gene_type_val in GA.supported_int_types:
+                    if gene_type_val in GA.supported_int_float_types:
+                        # If the gene type is float and no precision is passed or an integer, set its precision to None.
                         gene_type[gene_type_idx] = [gene_type_val, None]
                     elif type(gene_type_val) in [list, tuple, numpy.ndarray]:
                         # A float type is expected in a list/tuple/numpy.ndarray of length 2.
@@ -376,6 +378,12 @@ def __init__(self,
                                 else:
                                     self.valid_parameters = False
                                     raise TypeError(f"In the 'gene_type' parameter, the precision for float gene data types must be an integer but the element {gene_type_val} at index {gene_type_idx} has a precision of {gene_type_val[1]} with type {gene_type_val[0]}.")
+                            elif gene_type_val[0] in GA.supported_int_types:
+                                if gene_type_val[1] is None:
+                                    pass
+                                else:
+                                    self.valid_parameters = False
+                                    raise TypeError(f"In the 'gene_type' parameter, either do not set a precision for integer data types or set it to None. But the element {gene_type_val} at index {gene_type_idx} has a precision of {gene_type_val[1]} with type {gene_type_val[0]}.")
                             else:
                                 self.valid_parameters = False
                                 raise TypeError(

pyproject.toml

@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pygad"
-version = "3.1.0"
+version = "3.1.1"
 description = "PyGAD: A Python Library for Building the Genetic Algorithm and Training Machine Learning Algoithms (Keras & PyTorch)."
 readme = {file = "README.md", content-type = "text/markdown"}
 requires-python = ">=3"

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(  
     name="pygad",  
-    version="3.1.0",  
+    version="3.1.1",  
     author="Ahmed Fawzy Gad",
     install_requires=["numpy", "matplotlib", "cloudpickle",],
     author_email="ahmed.f.gad@gmail.com",