_______________ test_column_transformer_column_renaming[polars] ________________
[gw0] linux -- Python 3.11.9 /usr/share/miniconda/envs/testvenv/bin/python

dataframe_lib = 'polars'
        lib = pytest.importorskip(dataframe_lib)
    
        df = lib.DataFrame({"x1": [1, 2, 3], "x2": [10, 20, 30], "x3": [100, 200, 300]})
    
        transformer = ColumnTransformer(
            transformers=[
                ("A", "passthrough", ["x1", "x2", "x3"]),
                ("B", FunctionTransformer(), ["x1", "x2"]),
                ("C", StandardScaler(), ["x1", "x3"]),
                # special case of empty transformer
                ("D", FunctionTransformer(lambda x: x[[]]), ["x1", "x2", "x3"]),
            ],
            verbose_feature_names_out=True,
        ).set_output(transform=dataframe_lib)
        df_trans = transformer.fit_transform(df)
>       assert list(df_trans.columns) == [
            "A__x1",
            "A__x2",
            "A__x3",
            "B__x1",
            "B__x2",
            "C__x1",
            "C__x3",
        ]
E       AssertionError

dataframe_lib = 'polars'
df         = shape: (3, 3)
┌─────┬─────┬─────┐
│ x1  ┆ x2  ┆ x3  │
│ --- ┆ --- ┆ --- │
│ i64 ┆ i64 ┆ i64 │
╞═════╪═════╪═════╡
│ 1   ┆ 10  ┆ 100 │
│ 2   ┆ 20  ┆ 200 │
│ 3   ┆ 30  ┆ 300 │
└─────┴─────┴─────┘
df_trans   = shape: (3, 10)
┌───────┬───────┬───────┬───────┬───┬───────────┬───────┬───────┬───────┐
│ A__x1 ┆ A__x2 ┆ A__x3 ┆ B__...    ┆ … ┆ 1.224745  ┆ null  ┆ null  ┆ null  │
└───────┴───────┴───────┴───────┴───┴───────────┴───────┴───────┴───────┘
lib        = <module 'polars' from '/usr/share/miniconda/envs/testvenv/lib/python3.11/site-packages/polars/__init__.py'>
transformer = ColumnTransformer(transformers=[('A', 'passthrough', ['x1', 'x2', 'x3']),
                                ('B', Functi...ansformer_column_renaming.<locals>.<lambda> at 0x7fb9a0e672e0>),
                                 ['x1', 'x2', 'x3'])])

../1/s/sklearn/compose/tests/test_column_transformer.py:2530: AssertionError