"Albedo",
             "liq_precip_depth_mm",
             "liq_precip_rate_Hour",
         ]
         self.weather_data = pd.read_csv(
-            epwfile_path, skiprows=8, header=None, names=epw_labels,
-            encoding='ISO-8859-1', engine='python').drop('datasource', axis=1)
+            epwfile_path,
+            skiprows=8,
+            header=None,
+            names=epw_labels,
+            encoding="ISO-8859-1",
+            engine="python",
+        ).drop("datasource", axis=1)
 
     def calc_sun_position(self, latitude_deg, longitude_deg, year, hoy):
         """
         Calculates the Sun Position for a specific hour and location
         :param latitude_deg: Geographical Latitude in Degrees

         self.u_window = {
             "u_window_1": float(row["U_" + str(t_b) + "Window_1"].values[0]),
             "u_window_2": float(row["U_" + str(t_b) + "Window_2"].values[0]),
         }
         self.g_gl_n_window = {
-            "g_gl_n_window_1": float(
-                row["g_gl_n_Window_1"].values[0]
-            ),
-            "g_gl_n_window_2": float(
-                row["g_gl_n_Window_2"].values[0]
-            ),
+            "g_gl_n_window_1": float(row["g_gl_n_Window_1"].values[0]),
+            "g_gl_n_window_2": float(row["g_gl_n_Window_2"].values[0]),
         }
 
         self.floor_area = float(row["A_C_Ref"].values[0])
         self.heat_transfer_coefficient_ventilation = float(
             row["h_Ventilation"].values[0]

 
 from ._generic_caes import GenericCAES
 from ._piecewise_linear_converter import PiecewiseLinearConverter
 from ._sink_dsm import SinkDSM
 from ._generic_building import GenericBuilding
+
 __all__ = [
     "GenericCAES",
     "PiecewiseLinearConverter",
     "SinkDSM",
-    "GenericBuilding"
+    "GenericBuilding",
 ]

 
 energysystem = solph.EnergySystem(
     timeindex=tindex,
     infer_last_interval=False,
 )
-solar_gains = [3000, 4000, 1000 ,300, 300, 200, 100, 50]
+solar_gains = [3000, 4000, 1000, 300, 300, 200, 100, 50]
 internal_gains = [100, 100, 100, 100, 100, 100, 100, 100]
 t_outside = [22, 19, 16, 15, 14, 10, 7, 4]
 building_config = SimpleNamespace(
-                                total_internal_area=499.95,
-                                h_ve=55.55,
-                                h_tr_w=51.52,
-                                h_tr_em=412.05866346891787,
-                                h_tr_is=1724.8275,
-                                mass_area=277.75,
-                                h_tr_ms=2527.525,
-                                c_m=18331500.0,
-                                floor_area=111.1,
-                                heat_transfer_coefficient_ventilation=0.51,
-                                total_air_change_rate=0.6
-                            )
+    total_internal_area=499.95,
+    h_ve=55.55,
+    h_tr_w=51.52,
+    h_tr_em=412.05866346891787,
+    h_tr_is=1724.8275,
+    mass_area=277.75,
+    h_tr_ms=2527.525,
+    c_m=18331500.0,
+    floor_area=111.1,
+    heat_transfer_coefficient_ventilation=0.51,
+    total_air_change_rate=0.6,
+)
 
 ##########################################################################
 # Create oemof objects
 ##########################################################################
 

     solph.components.Source(
         label="elect_from_grid",
         outputs={b_elect: solph.flows.Flow(variable_costs=30)},
     )
 )
-'''
+"""
 energysystem.add(
     solph.components.Sink(
         label="elect_into_grid",
         inputs={b_elect: solph.flows.Flow(variable_costs=10)},
     )
 )
-'''
+"""
 # create electrical heating and cooling device
 energysystem.add(
     solph.components.Transformer(
         label="ElectricalHeater",
         inputs={b_elect: solph.flows.Flow()},

 results = energysystem.results["main"]
 custom_building = views.node(results, "GenericBuilding")
 
 print(2)
 
+
 def test_storage_input():
     assert flows["electricity-storage"][0] == pytest.approx(
         (first_input - 0.99 * init_soc) / 0.9
     )
     assert flows["electricity-storage"][1] == 0