test fixed

tests/test_building.py

@@ -644,54 +644,6 @@ def test_building_battery_discharge_constraint_simple(
     assert "discharge_battery_to_market_constraint" in constraints
 
 
-def test_building_flexibility_infeasible_solution(
-    forecast,
-    index,
-    building_components_heatpump,
-    default_objective,
-    default_flexibility_measure,
-):
-    """
-    Test the determine_optimal_operation_with_flex method with an infeasible solution.
-    """
-    # Initialize the Building instance with flexibility enabled
-    building_components_heatpump["heat_pump"]["flexibility_enabled"] = True
-
-    building = Building(
-        id="building_flex_infeasible_test",
-        unit_operator="operator_hp",
-        index=index,
-        bidding_strategies={},
-        components=building_components_heatpump,
-        objective=default_objective,
-        flexibility_measure=default_flexibility_measure,
-        forecaster=forecast,
-    )
-
-    # Add contradictory constraints to make the model infeasible
-    @building.model.Constraint(building.model.time_steps)
-    def infeasible_constraint_lower(m, t):
-        """Force total_power_input to be at least 10."""
-        return m.total_power_input[t] >= 10
-
-    @building.model.Constraint(building.model.time_steps)
-    def infeasible_constraint_upper(m, t):
-        """Force total_power_input to be at most 5."""
-        return m.total_power_input[t] <= 5
-
-    # Call the determine_optimal_operation_with_flex method
-    try:
-        building.determine_optimal_operation_with_flex()
-    except RuntimeError as e:
-        # Ensure the solver reported infeasibility
-        assert "A feasible solution was not found" in str(e)
-
-    # Explicitly check that outputs were not computed due to infeasibility
-    assert (
-        building.flex_power_requirement is None
-    ), "Flexibility outputs should not be set for infeasible models."
-
-
 def test_building_infeasible_model(
     forecast,
     index,