Some changes...

customhys/benchmark_func.py

@@ -31,7 +31,7 @@
     from optproblems import cec2005
     _cec_functions = True
 
-except ImportError as e:
+except ImportError:
     import warnings as wa
 
     message = "`optproblems` not found! Please, install it to use the cec2005 benchmark functions"

customhys/experiment.py

@@ -376,7 +376,7 @@ def create_task_list(function_list, dimension_list):
                          output_name=OUTPUT_FOLDER + "/" + exp.exp_config["experiment_name"])
 
         # Rename the raw folder to raw-$exp_name$
-        print(f"\nChanging folder name of raw results...")
+        print("\nChanging folder name of raw results...")
         os.rename(DATA_FOLDER, DATA_FOLDER + "-" + exp.exp_config["experiment_name"])
 
     print("\nExperiment(s) finished!")

customhys/hyperheuristic.py

@@ -30,7 +30,7 @@
     tf.get_logger().setLevel('ERROR')
     _using_tensorflow = True
 
-except ImportError as e:
+except ImportError:
     import warnings as wa
 
     message = "`Tensorflow` not found! Please, install it to use the machine_learning module"

customhys/test_solvers.py

@@ -1,22 +1,22 @@
 from .experiment import Experiment
 
 def test_brute_force():
-  exp = Experiment(f"./exconf/tests/brute_force.json")
+  exp = Experiment("./exconf/tests/brute_force.json")
   exp.run()
 
 def test_basic_mhs():
-  exp = Experiment(f"./exconf/tests/basic_mhs.json")
+  exp = Experiment("./exconf/tests/basic_mhs.json")
   exp.run()
 
 def test_static():
-  exp = Experiment(f"./exconf/tests/static.json")
+  exp = Experiment("./exconf/tests/static.json")
   exp.run()
 
 def test_dynamic():
-  exp = Experiment(f"./exconf/tests/dynamic.json")
+  exp = Experiment("./exconf/tests/dynamic.json")
   exp.run()
 
 def test_neural_network():
-  exp = Experiment(f"./exconf/tests/neural_network.json")
+  exp = Experiment("./exconf/tests/neural_network.json")
   exp.run()
 

customhys/tools.py

@@ -9,7 +9,6 @@
 import json
 import numpy as np
 import os
-import pandas as pd
 import random
 import scipy.stats as st
 from subprocess import call
@@ -69,7 +68,7 @@ def printmsk(var, level=1, name=None):
     print('|  ' * (level - 1) + '|-- ' + var_name + "{", end="")
 
     # Check if it has __len__ but is not str or ndarray
-    if hasattr(var, '__len__') and not (parent_type in ['str', 'ndarray']):
+    if hasattr(var, '__len__') and parent_type not in ['str', 'ndarray']:
         print('{}: {}'.format(parent_type, len(var)) + '}')
 
         # If is it a dictionary

customhys/visualisation.py

@@ -5,14 +5,7 @@
 @author: L03130342
 """
 
-import os
-from datetime import datetime
-import json
-from tqdm import tqdm
 import matplotlib.pyplot as plt
-from matplotlib.lines import Line2D
-from matplotlib import rcParams, cycler
-import numpy as np
 
 
 def show_performance_overview(steps, historical_fitness, performances=None):

requirements.txt

@@ -1,11 +1,114 @@
-numpy>=1.22.0
-scipy>=1.5.0
-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'
-setuptools>=65.5.0
+anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1717693030552/work
+appnope @ file:///home/conda/feedstock_root/build_artifacts/appnope_1707233003401/work
+arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1696128962909/work
+asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1698341106958/work
+attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1722715458162/work
+binaryornot==0.4.4
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+cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1721091878889/work
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+Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1715127149914/work
+jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema_1720529478715/work
+jsonschema-specifications @ file:///tmp/tmpkv1z7p57/src
+jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1716472197302/work
+jupyter_core @ file:///Users/runner/miniforge3/conda-bld/jupyter_core_1710257546419/work
+jupyterlab_widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1716891641122/work
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+Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1710435156458/work
+markdown-it-py @ file:///home/conda/feedstock_root/build_artifacts/markdown-it-py_1686175045316/work
+MarkupSafe @ file:///Users/runner/miniforge3/conda-bld/markupsafe_1706900018209/work
+matplotlib==3.9.1
+matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1713250518406/work
+mdurl @ file:///home/conda/feedstock_root/build_artifacts/mdurl_1704317613764/work
+Mesa @ file:///home/conda/feedstock_root/build_artifacts/mesa_1713905366964/work
+Mesa-Viz-Tornado @ file:///home/conda/feedstock_root/build_artifacts/mesa-viz-tornado_1702488965922/work
+munkres==1.1.4
+nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1712238998817/work
+nest_asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1705850609492/work
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+packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1718189413536/work
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+platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1715777629804/work
+prompt_toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1718047967974/work
+psutil @ file:///Users/runner/miniforge3/conda-bld/psutil_1719274585504/work
+ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
+pure_eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1721585709575/work
+pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1711811537435/work
+Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1714846767233/work
+pymdown-extensions @ file:///home/conda/feedstock_root/build_artifacts/pymdown-extensions_1722180495510/work
+pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1709721012883/work
+PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1661604839144/work
+python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1709299778482/work
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+reacton @ file:///home/conda/feedstock_root/build_artifacts/reacton_1709981633124/work
+referencing @ file:///home/conda/feedstock_root/build_artifacts/referencing_1714619483868/work
+requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1717057054362/work
+rich @ file:///home/conda/feedstock_root/build_artifacts/rich-split_1709150387247/work/dist
+rich-click @ file:///home/conda/feedstock_root/build_artifacts/rich-click_1718026092578/work
+rpds-py @ file:///Users/runner/miniforge3/conda-bld/rpds-py_1721860949153/work
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+solara-server @ file:///home/conda/feedstock_root/build_artifacts/solara_1721806240774/work/solara_server
+solara-ui @ file:///home/conda/feedstock_root/build_artifacts/solara_1721806240774/work/solara_ui
+stack-data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1669632077133/work
+starlette @ file:///home/conda/feedstock_root/build_artifacts/starlette-recipe_1722370579855/work
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+tzdata @ file:///home/conda/feedstock_root/build_artifacts/python-tzdata_1707747584337/work
+unicodedata2 @ file:///Users/runner/miniforge3/conda-bld/unicodedata2_1695848020028/work
+urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1719391292974/work
+uvicorn @ file:///Users/runner/miniforge3/conda-bld/uvicorn-split_1722504665566/work
+watchdog @ file:///Users/runner/miniforge3/conda-bld/watchdog_1716561802132/work
+watchfiles @ file:///Users/runner/miniforge3/conda-bld/watchfiles_1717015903792/work
+wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1704731205417/work
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+zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1718013267051/work
+zstandard==0.22.0

setup.py

@@ -21,6 +21,8 @@
               'evolutionary computation', 'bio-inspired', 'algorithm design'],
     python_requires=">=3.8",
     install_requires=[
+        "setuptools>=57.4.0",
+        "latex>=0.7.0",
         "numpy>=1.22.0",
         "scipy>=1.5.0",
         "matplotlib>=3.2.2",