Make ruff

pyam/utils.py

@@ -606,13 +606,15 @@ def print_list(x, n):
 
 # utility method to compare years (as integer) and datetime for index-sorting
 def compare_year_time(x):
-    return pd.Index([
-        # set year lower than first timestep of that year (2010 < 2010-01-01 00:00)
-        datetime(time, 1, 1, 0, 0, 0) - timedelta(0, 0.01)
-        if isinstance(time, int)
-        else time
-        for time in x
-    ])
+    return pd.Index(
+        [
+            # set year lower than first timestep of that year (2010 < 2010-01-01 00:00)
+            datetime(time, 1, 1, 0, 0, 0) - timedelta(0, 0.01)
+            if isinstance(time, int)
+            else time
+            for time in x
+        ]
+    )
 
 
 def to_time(x):

tests/test_core.py

@@ -573,9 +573,8 @@ def test_timeseries_wide(test_pd_df, unsort):
 def test_timeseries_mixed_time_domain(test_pd_df):
     """Assert that timeseries is shown as expected from mixed time-domain data"""
     test_pd_df = test_pd_df.rename(columns={2005: "2010-01-01 00:00"})
-    exp = (
-        test_pd_df.set_index(IAMC_IDX)[[2010, "2010-01-01 00:00"]]
-        .rename(columns={"2010-01-01 00:00": datetime(2010, 1, 1, 0, 0)})
+    exp = test_pd_df.set_index(IAMC_IDX)[[2010, "2010-01-01 00:00"]].rename(
+        columns={"2010-01-01 00:00": datetime(2010, 1, 1, 0, 0)}
     )
 
     obs = IamDataFrame(test_pd_df).timeseries()
@@ -738,9 +737,7 @@ def test_normalize(test_df):
     if "year" in test_df.data:
         obs = test_df.normalize(year=2005).data.reset_index(drop=True)
     else:
-        obs = test_df.normalize(time=datetime(2005, 6, 17)).data.reset_index(
-            drop=True
-        )
+        obs = test_df.normalize(time=datetime(2005, 6, 17)).data.reset_index(drop=True)
     pdt.assert_frame_equal(obs, exp)
 
 
@@ -759,9 +756,9 @@ def test_offset(test_df, padding):
     if "year" in test_df.data:
         obs = test_df.offset(year=2005, **kwargs).data.reset_index(drop=True)
     else:
-        obs = test_df.offset(
-            time=datetime(2005, 6, 17), **kwargs
-        ).data.reset_index(drop=True)
+        obs = test_df.offset(time=datetime(2005, 6, 17), **kwargs).data.reset_index(
+            drop=True
+        )
     pdt.assert_frame_equal(obs, exp)
 
 

tests/test_data.py

@@ -49,4 +49,3 @@ def test_data_sort_mixed_time_domain(test_df_year, inplace):
     else:
         obs = df.sort_data()
     pdt.assert_frame_equal(obs.data, mixed_data)
-