[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

modelitool/combitabconvert.py

@@ -47,7 +47,7 @@ def df_to_combitimetable(df, filename):
         raise ValueError(f"df must be an instance of pandas DataFrame. Got {type(df)}")
     if not isinstance(df.index, pd.DatetimeIndex):
         raise ValueError(
-            f"DataFrame index must be an instance of DatetimeIndex. " f"Got {type(df)}"
+            f"DataFrame index must be an instance of DatetimeIndex. Got {type(df)}"
         )
     if not df.index.is_monotonic_increasing:
         raise ValueError(

modelitool/simulate.py

@@ -174,12 +174,12 @@ def get_parameters(self):
     def _set_simulation_options(self, simulation_options):
         self.model.setSimulationOptions(
             [
-                f'startTime={simulation_options["startTime"]}',
-                f'stopTime={simulation_options["stopTime"]}',
-                f'stepSize={simulation_options["stepSize"]}',
-                f'tolerance={simulation_options["tolerance"]}',
-                f'solver={simulation_options["solver"]}',
-                f'outputFormat={simulation_options["outputFormat"]}',
+                f"startTime={simulation_options['startTime']}",
+                f"stopTime={simulation_options['stopTime']}",
+                f"stepSize={simulation_options['stepSize']}",
+                f"tolerance={simulation_options['tolerance']}",
+                f"solver={simulation_options['solver']}",
+                f"outputFormat={simulation_options['outputFormat']}",
             ]
         )
         self.simulation_options = simulation_options

tutorials/Modelica models Handling.ipynb

@@ -7,9 +7,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd\n",
     "import os\n",
-    "from pathlib import Path"
+    "from pathlib import Path\n",
+    "\n",
+    "import pandas as pd"
    ]
   },
   {
@@ -98,10 +99,8 @@
    "outputs": [],
    "source": [
     "reference_df = pd.read_csv(\n",
-    "    Path(TUTORIAL_DIR) / \"resources/study_df.csv\",\n",
-    "    index_col=0,\n",
-    "    parse_dates=True\n",
-    ")    "
+    "    Path(TUTORIAL_DIR) / \"resources/study_df.csv\", index_col=0, parse_dates=True\n",
+    ")"
    ]
   },
   {
@@ -137,7 +136,7 @@
    "source": [
     "df_to_combitimetable(\n",
     "    df=reference_df.loc[\"2018-03-22\":\"2018-03-23\"],\n",
-    "    filename=\"resources/boundary_temp.txt\"\n",
+    "    filename=\"resources/boundary_temp.txt\",\n",
     ")"
    ]
   },
@@ -215,12 +214,12 @@
    "outputs": [],
    "source": [
     "simulation_opt = {\n",
-    "        \"startTime\": second_index[0],\n",
-    "        \"stopTime\": second_index[-1],\n",
-    "        \"stepSize\": 300,\n",
-    "        \"tolerance\": 1e-06,\n",
-    "        \"solver\": \"dassl\",\n",
-    "        \"outputFormat\": \"csv\"\n",
+    "    \"startTime\": second_index[0],\n",
+    "    \"stopTime\": second_index[-1],\n",
+    "    \"stepSize\": 300,\n",
+    "    \"tolerance\": 1e-06,\n",
+    "    \"solver\": \"dassl\",\n",
+    "    \"outputFormat\": \"csv\",\n",
     "}"
    ]
   },
@@ -239,11 +238,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "output_list  = [\n",
-    "    \"T_coat_ins.T\",\n",
-    "     \"T_ins_ins.T\",\n",
-    "     \"Tw_out.T\"\n",
-    "]"
+    "output_list = [\"T_coat_ins.T\", \"T_ins_ins.T\", \"Tw_out.T\"]"
    ]
   },
   {
@@ -308,7 +303,7 @@
     "    \"Tins1_init\": 19.70 + 273.15,\n",
     "    \"Tins2_init\": 10.56 + 273.15,\n",
     "    \"Tcoat_init\": 6.4 + 273.15,\n",
-    "    'Lambda_ins.k': 0.04,\n",
+    "    \"Lambda_ins.k\": 0.04,\n",
     "}"
    ]
   },
@@ -333,7 +328,7 @@
    "outputs": [],
    "source": [
     "init_res_OM = simu_OM.simulate(\n",
-    "    simflags = \"-initialStepSize=60 -maxStepSize=3600 -w -lv=LOG_STATS\",\n",
+    "    simflags=\"-initialStepSize=60 -maxStepSize=3600 -w -lv=LOG_STATS\",\n",
     "    parameter_dict=parameter_dict_OM,\n",
     "    year=2024,\n",
     ")"