From d159f006035ae3075e86b920d4a780a0099d139d Mon Sep 17 00:00:00 2001 From: khm Date: Wed, 20 Nov 2024 20:57:29 +0100 Subject: [PATCH] test fixed --- tests/test_building.py | 48 ------------------------------------------ 1 file changed, 48 deletions(-) diff --git a/tests/test_building.py b/tests/test_building.py index 2049fb0c..80d16a8d 100644 --- a/tests/test_building.py +++ b/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,