Update tests

Author: thieu1995

tests/test_MhaMlpComparator.py

@@ -8,10 +8,11 @@
 import numpy as np
 from metaperceptron import MhaMlpComparator
 
+
 # Sample optimizer dictionary for testing
 optim_dict = {
-    'BaseGA':       {"epoch": 10, "pop_size": 20},
-    "OriginalPSO":  {"epoch": 10, "pop_size": 20},
+    'BaseGA': {"epoch": 10, "pop_size": 20},
+    "OriginalPSO": {"epoch": 10, "pop_size": 20},
 }
 
 # Sample data

tests/test_MhaMlpRegressor.py

@@ -6,8 +6,8 @@
 
 import pytest
 from sklearn.datasets import make_regression
-from sklearn.model_selection import train_test_split
 from sklearn.metrics import r2_score
+from sklearn.model_selection import train_test_split
 from metaperceptron import MhaMlpRegressor
 
 

tests/test_MlpRegressor.py

@@ -9,7 +9,6 @@
 import torch
 from metaperceptron import MlpRegressor
 
-
 # Test data
 X = np.random.rand(100, 5)  # 100 samples, 5 features each
 y = np.random.rand(100, 1)  # 100 target values