SIENTIAPDE-1255: Add unit tests for utils.split_train_test function

tests/sientia/test_utils.py

@@ -0,0 +1,59 @@
+from model_manager.sientia import utils
+
+
+def test_split_train_test_default(monkeypatch):
+    captured_args = {}
+
+    def fake_train_test_split(*args, **kwargs):
+        captured_args['args'] = args
+        captured_args['kwargs'] = kwargs
+        return ('X_train', 'X_test', 'y_train', 'y_test')
+
+    monkeypatch.setattr(utils, 'train_test_split', fake_train_test_split)
+
+    X = [1, 2, 3, 4]
+    y = [0, 1, 0, 1]
+
+    result = utils.split_train_test(X, y)
+
+    assert captured_args['args'] == (X, y)
+    assert captured_args['kwargs'] == {
+        'test_size': None,
+        'train_size': None,
+        'random_state': None,
+        'shuffle': True,
+        'stratify': None,
+    }
+    assert result == ('X_train', 'X_test', 'y_train', 'y_test')
+
+
+def test_split_train_test_with_parameters(monkeypatch):
+    captured_kwargs = {}
+
+    def fake_train_test_split(*args, **kwargs):
+        captured_kwargs.update(kwargs)
+        return ('train_X', 'test_X', 'train_y', 'test_y')
+
+    monkeypatch.setattr(utils, 'train_test_split', fake_train_test_split)
+
+    X = [[1], [2], [3], [4]]
+    y = [0, 1, 0, 1]
+
+    result = utils.split_train_test(
+        X,
+        y,
+        test_size=0.25,
+        train_size=0.75,
+        random_state=42,
+        shuffle=False,
+        stratify=y,
+    )
+
+    assert captured_kwargs == {
+        'test_size': 0.25,
+        'train_size': 0.75,
+        'random_state': 42,
+        'shuffle': False,
+        'stratify': y,
+    }
+    assert result == ('train_X', 'test_X', 'train_y', 'test_y')