def METHOD_NAME(adata):
    # Set up anndata input path and tiledb-group output path
    with tempfile.TemporaryDirectory() as output_path:
        # Ingest
        tiledbsoma.io.from_anndata(
            output_path,
            adata,
            "RNA",
            platform_config={
                "tiledb": {
                    "create": {
                        "capacity": 8888,
                        "offsets_filters": ["RleFilter", "NoOpFilter"],
                        "dims": {
                            "soma_dim_0": {"tile": 6},
                            # Empty filters for soma_dim_1 overrides the default
                            # dimension zstd level defined below.
                            "soma_dim_1": {"filters": []},
                        },
                        "attrs": {"soma_data": {"filters": ["NoOpFilter"]}},
                        "dataframe_dim_zstd_level": 1,
                        "cell_order": "row-major",
                        "tile_order": "col-major",
                        "sparse_nd_array_dim_zstd_level": 2,
                    }
                }
            },
        )
        with tiledbsoma.Experiment.open(output_path) as exp:
            x_data = exp.ms["RNA"].X["data"]
            x_arr = x_data._handle.reader
            x_sch = x_arr.schema
            assert x_sch.capacity == 8888
            assert x_sch.cell_order == "row-major"
            assert x_sch.tile_order == "col-major"
            assert x_sch.offsets_filters == [tiledb.RleFilter(), tiledb.NoOpFilter()]
            assert x_arr.attr("soma_data").filters == [tiledb.NoOpFilter()]
            assert x_arr.dim("soma_dim_0").tile == 6
            assert x_arr.dim("soma_dim_0").filters == [tiledb.ZstdFilter(level=2)]
            assert x_arr.dim("soma_dim_1").filters == []
            var_df = exp.ms["RNA"].var
            var_arr = var_df._handle.reader
            assert var_arr.dim("soma_joinid").filters == [tiledb.ZstdFilter(level=1)]