ruff formatting

lectures/debugging-strategies/static/postprocessing_example.py

 def Open_File(filename):
     import xarray as xr
 
-    return xr.open_dataset(filename)\
-        .convert_calendar('standard', use_cftime=True)
+    return xr.open_dataset(filename).convert_calendar("standard", use_cftime=True)
+
 
 def Select_Date(ds, model_date, method):
     import datetime as dt
 
     ds_elem = ds.sel(time=model_date, method=method)
-    return dt.datetime.strptime(str(ds_elem['time'].values),
-        '%Y-%m-%d %H:%M:%S')
+    return dt.datetime.strptime(str(ds_elem["time"].values), "%Y-%m-%d %H:%M:%S")
+
 
 def Get_Time_Objects(timestamp_start, timestamp_end, timestep_days):
     import datetime as dt
 
-    time_format = '%Y-%m-%dT%H:%M:%S.%f'
+    time_format = "%Y-%m-%dT%H:%M:%S.%f"
     start_date = dt.datetime.strptime(timestamp_start, time_format)
     end_date = dt.datetime.strptime(timestamp_end, time_format)
-    timestep   = dt.timedelta(days=timestep_days)
+    timestep = dt.timedelta(days=timestep_days)
     return [start_date, end_date, timestep]
 
+
 def Calculate_Weights(filename, timestamp_start, timestamp_end, timestep_days):
     start_date, end_date, timestep = Get_Time_Objects(
-        timestamp_start=timestamp_start, timestamp_end=timestamp_end,
-        timestep_days=10)
+        timestamp_start=timestamp_start, timestamp_end=timestamp_end, timestep_days=10
+    )
 
     ds = Open_File(filename=filename)
 
     model_date = start_date
-    while ( model_date < end_date ):
-        o3_prev_date = Select_Date(ds=ds, model_date=model_date, method='ffill')
-        o3_next_date = Select_Date(ds=ds, model_date=model_date, method='bfill')
+    while model_date < end_date:
+        o3_prev_date = Select_Date(ds=ds, model_date=model_date, method="ffill")
+        o3_next_date = Select_Date(ds=ds, model_date=model_date, method="bfill")
 
-        if ( o3_next_date == o3_prev_date ):
+        if o3_next_date == o3_prev_date:
             prev_weight = 0.5
-        else :
+        else:
             delta_step_sec = (o3_next_date - o3_prev_date).total_seconds()
             delta_sec = (model_date - o3_prev_date).total_seconds()
-            prev_weight = 1.0 - delta_sec/delta_step_sec
+            prev_weight = 1.0 - delta_sec / delta_step_sec
 
-        next_weight  = 1.0 - prev_weight
-        print('weights for', model_date, 'are', prev_weight, 'and', next_weight)
+        next_weight = 1.0 - prev_weight
+        print("weights for", model_date, "are", prev_weight, "and", next_weight)
         model_date = model_date + timestep
 
-filename = 'vmro3_input4MIPs_ozone_1850-1855_rev.nc'
-timestamp_start = '1851-01-01T00:00:00.000'  # '1850-01-01T00:00:00.000'
-timestamp_end   = '1851-03-31T00:00:00.000'  # '1850-03-31T00:00:00.000'
+
+filename = "vmro3_input4MIPs_ozone_1850-1855_rev.nc"
+timestamp_start = "1851-01-01T00:00:00.000"  # '1850-01-01T00:00:00.000'
+timestamp_end = "1851-03-31T00:00:00.000"  # '1850-03-31T00:00:00.000'
 timestep_days = 10
 
 Calculate_Weights(filename, timestamp_start, timestamp_end, timestep_days)