code: def df_to_csv(dataframe, path, **kwargs):
      dataframe.to_csv(path, **kwargs)
  
imports: import logging
  import os
  import posixpath
  import urllib.parse
  from functools import partial
  from unittest.mock import patch
  import pandas
  import pyarrow
  import pyarrow.parquet
  import pytest
  from pyarrow.fs import LocalFileSystem
  from pytest_lazyfixture import lazy_fixture
  from ray.data.datasource import BaseFileMetadataProvider, DefaultFileMetadataProvider, DefaultParquetMetadataProvider, FastFileMetadataProvider, FileMetadataProvider, ParquetMetadataProvider
  from ray.data.datasource.file_based_datasource import FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD
  from ray.data.datasource.file_meta_provider import _get_file_infos_common_path_prefix, _get_file_infos_parallel, _get_file_infos_serial
  from ray.data.datasource.path_util import _resolve_paths_and_filesystem, _unwrap_protocol
  from ray.data.tests.conftest import *
  from ray.data.tests.test_partitioning import PathPartitionEncoder
  from ray.tests.conftest import *
label_desc: Use image node_id 1 for calling a global function with example usage: df_to_csv(dataframe, path) without return types