____________________________ test_parquet[pyarrow] _____________________________
[gw1] linux -- Python 3.12.12 /home/runner/miniconda3/envs/test-environment/bin/python3.12

engine = 'pyarrow'

    @pytest.mark.network
    @pytest.mark.parametrize(
        "engine",
        ["pyarrow"],
    )
    def test_parquet(engine):
        pytest.importorskip("requests", minversion="2.21.0")
        dd = pytest.importorskip("dask.dataframe")
        pytest.importorskip(engine)
        df = dd.read_parquet(
            [
                "https://github.com/Parquet/parquet-compatibility/raw/"
                "master/parquet-testdata/impala/1.1.1-NONE/"
                "nation.impala.parquet"
            ],
            engine=engine,
>       ).compute()
          ^^^^^^^^^

dask/bytes/tests/test_http.py:189: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
dask/base.py:373: in compute
    (result,) = compute(self, traverse=False, **kwargs)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
dask/base.py:681: in compute
    results = schedule(expr, keys, **kwargs)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
dask/dataframe/io/parquet/core.py:82: in __call__
    return read_parquet_part(
dask/dataframe/io/parquet/core.py:184: in read_parquet_part
    func(
dask/dataframe/io/parquet/arrow.py:572: in read_partition
    arrow_table = cls._read_table(
dask/dataframe/io/parquet/arrow.py:1704: in _read_table
    arrow_table = _read_table_from_path(
dask/dataframe/io/parquet/arrow.py:262: in _read_table_from_path
    return pq.ParquetFile(fil, **pre_buffer).read(
../../../miniconda3/envs/test-environment/lib/python3.12/site-packages/pyarrow/parquet/core.py:639: in read
    return self.reader.read_all(column_indices=column_indices,
pyarrow/_parquet.pyx:1860: in pyarrow._parquet.ParquetReader.read_all
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   pyarrow.lib.ArrowInvalid: Invalid number of indices: 0