Fix ruff issue with strict=False in zip()

tests/test_regrid.py

@@ -664,10 +664,10 @@ def test_map_latitude_coarse_to_fine(self):
             [[0.29289322]],
         ]
 
-        for x, y in zip(mapping, expected_mapping):
+        for x, y in zip(mapping, expected_mapping, strict=False):
             np.testing.assert_allclose(x, y)
 
-        for x2, y2 in zip(weights, expected_weigths):
+        for x2, y2 in zip(weights, expected_weigths, strict=False):
             np.testing.assert_allclose(x2, y2)
 
     def test_map_latitude_fine_to_coarse(self):

xcdat/dataset.py

@@ -652,7 +652,7 @@ def _get_cftime_coords(offsets: np.ndarray, units: str, calendar: str) -> np.nda
 
     # Convert offsets to `np.float64` to avoid "TypeError: unsupported type
     # for timedelta days component: numpy.int64".
-    flat_offsets = flat_offsets.astype("float")
+    flat_offsets = flat_offsets.astype("float")  # type: ignore
 
     # We don't need to do calendar arithmetic here because the units and
     # offsets are in "months" or "years", which means leap days should not

xcdat/regridder/grid.py

@@ -140,7 +140,7 @@ def _create_gaussian_axis(nlats: int) -> Tuple[xr.DataArray, xr.DataArray]:
         },
     )
 
-    bounds = (180.0 / np.pi) * np.arcsin(bounds)
+    bounds = (180.0 / np.pi) * np.arcsin(bounds)  # type: ignore
 
     bounds_data = np.zeros((points.shape[0], 2))
     bounds_data[:, 0] = bounds[:-1]

xcdat/temporal.py

@@ -1892,7 +1892,7 @@ def _convert_df_to_dt(self, df: pd.DataFrame) -> np.ndarray:
         dates = [
             self.date_type(year, month, day, hour)
             for year, month, day, hour in zip(
-                df_new.year, df_new.month, df_new.day, df_new.hour
+                df_new.year, df_new.month, df_new.day, df_new.hour, strict=False
             )
         ]