fixing unit tests

tests/resistnet/test_resistance_network.py

@@ -147,7 +147,7 @@ def test_evaluate_null_model(resistance_network_fixture):
 
 
 @pytest.mark.parametrize("individual, expected_fitness", [
-    ([1, 1, 1, 1], -100)
+    ([1, 1, 1, 1, 0], -100)
 ])
 def test_evaluate(resistance_network_fixture, individual, expected_fitness):
     mock_parse_result = pd.DataFrame({
@@ -163,15 +163,15 @@ def test_evaluate(resistance_network_fixture, individual, expected_fitness):
         fitness, res = resistance_network_fixture.evaluate(individual)
 
         # Check that parsePairwise was called if variables are selected
-        if any(individual[0::4]):
+        if any(individual[0::5]):
             mock_parsePairwise.assert_called()
 
         assert fitness == expected_fitness
 
 
 def test_model_output_mock(resistance_network_fixture):
     # Mock model representing an individual in the genetic algorithm
-    model = [1, 1, 1, 1]
+    model = [1, 1, 1, 1, 1]
 
     # Mock effective resistance matrix
     mock_effective_resistance_matrix = np.array([[0.5, 1.0], [1.0, 0.5]])
@@ -188,7 +188,7 @@ def test_model_output_mock(resistance_network_fixture):
 
 def test_model_output(resistance_network_fixture):
     # Mock model representing an individual in the genetic algorithm
-    model = [1, 1, 1, 1]
+    model = [1, 1, 1, 1, 1]
 
     try:
         r, multi = resistance_network_fixture.model_output(model)