chore(python): bump black from 22.12.0 to 23.1.0 in /py-polars (pola-…

…rs#6611)

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Stijn de Gooijer <stijn@degooijer.io>

py-polars/polars/internals/batched.py

@@ -55,7 +55,6 @@ def __init__(
         eol_char: str = "\n",
         new_columns: list[str] | None = None,
     ):
-
         path: str | None
         if isinstance(file, (str, Path)):
             path = normalise_filepath(file)

py-polars/polars/internals/dataframe/frame.py

@@ -1479,7 +1479,6 @@ def __getitem__(
 
             # df[:, unknown]
             if isinstance(row_selection, slice):
-
                 # multiple slices
                 # df[:, :]
                 if isinstance(col_selection, slice):
@@ -1512,7 +1511,7 @@ def __getitem__(
                             f" boolean mask. Got {len(col_selection)}."
                         )
                     series_list = []
-                    for (i, val) in enumerate(col_selection):
+                    for i, val in enumerate(col_selection):
                         if val:
                             series_list.append(self.to_series(i))
 
@@ -1631,7 +1630,7 @@ def __setitem__(
 
             # todo! we can parallelize this by calling from_numpy
             columns = []
-            for (i, name) in enumerate(key):
+            for i, name in enumerate(key):
                 columns.append(pli.Series(name, value[:, i]))
             self._df = self.with_columns(columns)._df
 

py-polars/polars/internals/io.py

@@ -75,6 +75,7 @@ def _prepare_file_arg(
     fsspec too.
 
     """
+
     # Small helper to use a variable as context
     @contextmanager
     def managed_file(file: Any) -> Iterator[Any]:

py-polars/polars/internals/series/series.py

@@ -767,7 +767,6 @@ def __getitem__(
             int | Series | range | slice | np.ndarray[Any, Any] | list[int] | list[bool]
         ),
     ) -> Any:
-
         if isinstance(item, Series) and item.dtype in {
             UInt8,
             UInt16,

py-polars/polars/testing/asserts.py

@@ -389,8 +389,7 @@ def is_categorical_dtype(data_type: Any) -> bool:
 def assert_frame_equal_local_categoricals(
     df_a: pli.DataFrame, df_b: pli.DataFrame
 ) -> None:
-
-    for ((a_name, a_value), (b_name, b_value)) in zip(
+    for (a_name, a_value), (b_name, b_value) in zip(
         df_a.schema.items(), df_b.schema.items()
     ):
         if a_name != b_name:

py-polars/pyproject.toml

@@ -143,6 +143,7 @@ ignore = [
   # pydocstyle: http://www.pydocstyle.org/en/stable/error_codes.html
   # numpy convention with a few additional lints
   "D107",
+  "D202", # No blank lines allowed after function docstring -> clashes with Black
   "D203",
   "D212",
   "D401",

py-polars/requirements-lint.txt

@@ -1,3 +1,3 @@
-black==22.12.0
+black==23.1.0
 blackdoc==0.3.7
 ruff==0.0.237

py-polars/tests/unit/test_cfg.py

@@ -100,7 +100,6 @@ def test_set_tbl_cols() -> None:
 
 
 def test_set_tbl_rows() -> None:
-
     df = pl.DataFrame({"a": [1, 2, 3, 4], "b": [5, 6, 7, 8], "c": [9, 10, 11, 12]})
     ser = pl.Series("ser", [1, 2, 3, 4, 5])
 

py-polars/tests/unit/test_groupby.py

@@ -253,7 +253,7 @@ def test_groupby_rolling_negative_offset_3914() -> None:
         }
     )
 
-    assert df.groupby_rolling(index_column="ints", period="2i", offset="-5i",).agg(
+    assert df.groupby_rolling(index_column="ints", period="2i", offset="-5i").agg(
         [pl.col("ints").alias("matches")]
     )["matches"].to_list() == [
         [],

py-polars/tests/unit/test_interop.py

@@ -582,7 +582,7 @@ def test_arrow_list_null_5697() -> None:
     df = pl.from_arrow(pa_table)
     pa_table = df.to_arrow()
     # again to polars to test the schema
-    assert pl.from_arrow(pa_table,).schema == {  # type: ignore[union-attr]
+    assert pl.from_arrow(pa_table).schema == {  # type: ignore[union-attr]
         "mycol": pl.List(pl.Null)
     }
 

py-polars/tests/unit/test_lazy.py

@@ -1367,6 +1367,7 @@ def test_self_join() -> None:
 
 def test_preservation_of_subclasses() -> None:
     """Test for LazyFrame inheritance."""
+
     # We should be able to inherit from polars.LazyFrame
     class SubClassedLazyFrame(pl.LazyFrame):
         pass

py-polars/tests/unit/test_rolling.py

@@ -194,7 +194,6 @@ def test_rolling_groupby_extrema() -> None:
     )
 
     for df in [sorted_df, not_sorted_df]:
-
         assert (
             df.groupby_rolling(
                 index_column="row_nr",
@@ -317,7 +316,7 @@ def test_overlapping_groups_4628() -> None:
         }
     )
     assert (
-        df.groupby_rolling(index_column="index", period="3i",).agg(
+        df.groupby_rolling(index_column="index", period="3i").agg(
             [
                 pl.col("val").diff(n=1).alias("val.diff"),
                 (pl.col("val") - pl.col("val").shift(1)).alias("val - val.shift"),

py-polars/tests/unit/test_sort.py

@@ -356,7 +356,6 @@ def test_sort_by_in_over_5499() -> None:
 
 
 def test_merge_sorted() -> None:
-
     df_a = (
         pl.date_range(datetime(2022, 1, 1), datetime(2022, 12, 1), "1mo")
         .to_frame("range")

py-polars/tests/unit/test_struct.py

@@ -458,7 +458,7 @@ def test_struct_comparison() -> None:
 
 
 def test_struct_order() -> None:
-    assert pl.DataFrame({"col1": [{"a": 1, "b": 2}, {"b": 4, "a": 3}],}).to_dict(
+    assert pl.DataFrame({"col1": [{"a": 1, "b": 2}, {"b": 4, "a": 3}]}).to_dict(
         False
     ) == {"col1": [{"a": 1, "b": 2}, {"a": 3, "b": 4}]}