Fix charmap encoding issue with Windows installations

customhys/__init__.py

@@ -1,4 +1,4 @@
 __all__ = ['benchmark_func', 'experiment', 'hyperheuristic', 'metaheuristic', 'operators', 'population', 'tools',
            'visualisation']
 # Under revision: 'characterisation', 'visualisation'
-__version__ = "1.1.4"
+__version__ = "1.1.5"

customhys/experiment.py

@@ -346,7 +346,7 @@ def create_task_list(function_list, dimension_list):
         os.makedirs(OUTPUT_FOLDER)
 
     if args.batch:
-        with open(args.exp_config) as configs:
+        with open(args.exp_config, encoding='utf-8') as configs:
             exp_filenames = configs.read()
         exp_filenames = [filename.strip() for filename in exp_filenames.splitlines()]
     else:

customhys/hyperheuristic.py

@@ -86,7 +86,7 @@ def __init__(self, heuristic_space='default.txt', problem=None, parameters=None,
             self.heuristic_space = heuristic_space
         elif isinstance(heuristic_space, str):
             self.heuristic_space_label = heuristic_space[:heuristic_space.rfind('.')].split('_')[0]
-            with open('collections/' + heuristic_space, 'r') as operators_file:
+            with open('collections/' + heuristic_space, 'r', encoding='utf-8') as operators_file:
                 self.heuristic_space = [eval(line.rstrip('\n')) for line in operators_file]
         else:
             raise HyperheuristicError('Invalid heuristic_space')
@@ -1167,7 +1167,8 @@ def _save_step(step_number, variable_to_save, prefix=''):
         _create_path(folder_name)
 
     # Create a new file for this step
-    with open(folder_name + f'/{str(step_number)}-' + now.strftime('%m_%d_%Y_%H_%M_%S') + '.json', 'w') as json_file:
+    with open(folder_name + f'/{str(step_number)}-' + now.strftime('%m_%d_%Y_%H_%M_%S') + '.json', 'w',
+              encoding='utf-8') as json_file:
         json.dump(variable_to_save, json_file, cls=jt.NumpyEncoder)
 
 
@@ -1238,7 +1239,7 @@ def _save_sequences(file_name, sequences_to_save):
         _create_path(folder_name)
 
     # Overwrite or create file to store the sequences along its respective fitness
-    with open(folder_name + f'{file_name}.json', 'w') as json_file:
+    with open(folder_name + f'{file_name}.json', 'w', encoding='utf-8') as json_file:
         json.dump(sequences_to_save, json_file, cls=jt.NumpyEncoder)
 
 

customhys/operators.py

@@ -986,7 +986,7 @@ def build_operators(heuristics=obtain_operators(), file_name='operators_collecti
     # Initialise the collection of simple heuristics
     if file_name[-4:] == '.txt':
         file_name = file_name[:-4]
-    file = open('collections/' + file_name + '.txt', 'w')
+    file = open('collections/' + file_name + '.txt', 'w', encoding='utf-8')
 
     # For each simple heuristic, read their parameters and values
     for operator, parameters, selectors in heuristics:

customhys/tools.py

@@ -396,7 +396,7 @@ def save_json(variable_to_save, file_name=None, suffix=None):
     suffix = '_' + suffix if suffix else ''
 
     # Create the new file
-    with open('./{}{}.json'.format(file_name, suffix), 'w') as json_file:
+    with open('./{}{}.json'.format(file_name, suffix), 'w', encoding='utf-8') as json_file:
         json.dump(variable_to_save, json_file, cls=NumpyEncoder)
 
 
@@ -407,7 +407,7 @@ def read_json(data_file):
         Filename of the json file.
     :return: dict or list.
     """
-    with open(data_file, 'r') as json_file:
+    with open(data_file, 'r', encoding='utf-8') as json_file:
         data = json.load(json_file)
 
     # Return only the data variable

requirements.txt

@@ -4,6 +4,7 @@ matplotlib>=3.2.2
 tqdm>=4.47.0
 scikit-learn>=1.2.2
 pandas>=1.5.3
+latex>=0.7.0
 tensorflow>=2.8.0; sys_platform != 'darwin'
 tensorflow-macos>=2.11.0; sys_platform == 'darwin'
 tensorflow-metal>=0.7.1; sys_platform == 'darwin'

setup.py

@@ -1,12 +1,13 @@
+# -*- coding: utf-8 -*-
 import setuptools
 import pathlib
 
 # The text of the README file
-README = (pathlib.Path(__file__).parent / 'README.md').read_text()
+README = (pathlib.Path(__file__).parent / 'README.md').read_text(encoding='utf-8')
 
 setuptools.setup(
     name='customhys',
-    version='1.1.4',
+    version='1.1.5',
     packages=setuptools.find_packages(),
     url='https://github.com/jcrvz/customhys',
     license='MIT License',
@@ -34,5 +35,6 @@
             "tensorflow-metal>=0.7.1; sys_platform == 'darwin'",
         ]
     },
-    include_package_data=True
+    include_package_data=True,
+
 )