Fix linting issues

src/rechunk_data/_rechunk.py

@@ -102,11 +102,7 @@ def _rechunk_dataset(
         logger.debug("Rechunking variable %s", var)
         chunks: Dict[int, Optional[str]] = {}
         for i, dim in enumerate(map(str, dset[var].dims)):
-            if (
-                "lon" in dim.lower()
-                or "lat" in dim.lower()
-                or "bnds" in dim.lower()
-            ):
+            if "lon" in dim.lower() or "lat" in dim.lower() or "bnds" in dim.lower():
                 chunks[i] = None
             else:
                 chunks[i] = "auto"
@@ -124,14 +120,9 @@ def _rechunk_dataset(
         )
         logger.debug("Settings encoding of variable %s", var)
         encoding[data_var] = {
-            str(k): v
-            for k, v in dset[var].encoding.items()
-            if str(k) in _keywords
+            str(k): v for k, v in dset[var].encoding.items() if str(k) in _keywords
         }
-        if (
-            engine != "netcdf4"
-            or encoding[data_var].get("contiguous", False) is False
-        ):
+        if engine != "netcdf4" or encoding[data_var].get("contiguous", False) is False:
             encoding[data_var]["chunksizes"] = new_chunks
     return dset, encoding
 

src/rechunk_data/tests/test_rechunk_netcdf.py

@@ -67,6 +67,5 @@ def test_wrong_or_format(small_chunk_data, caplog) -> None:
 
 
 def test_wrong_engine(small_chunk_data) -> None:
-
     with pytest.raises(ValueError):
         rechunk_dataset(small_chunk_data, engine="foo")