code: def test_csv_read_partitioned_hive_implicit(
      ray_start_regular_shared,
      fs,
      data_path,
      endpoint_url,
      write_base_partitioned_df,
      assert_base_partitioned_ds,
  ):
      storage_options = (
          {}
          if endpoint_url is None
          else dict(client_kwargs=dict(endpoint_url=endpoint_url))
      )
      partition_keys = ["one"]
      partition_path_encoder = PathPartitionEncoder.of(
          base_dir=data_path,
          field_names=partition_keys,
          filesystem=fs,
      )
      write_base_partitioned_df(
          partition_keys,
          partition_path_encoder,
          partial(
              df_to_csv, storage_options=storage_options, index=False
          ),
      )
      ds = ray.data.read_csv(
          data_path,
          partition_filter=PathPartitionFilter.of(None, filesystem=fs),
          filesystem=fs,
      )
      assert_base_partitioned_ds(ds)
  
imports: import itertools
  import os
  import shutil
  from functools import partial
  import pandas
  import pyarrow
  import pyarrow.parquet
  import pytest
  from packaging.version import Version
  from pytest_lazyfixture import lazy_fixture
  import ray
  from ray.data.block import BlockAccessor
  from ray.data.datasource import BaseFileMetadataProvider, FastFileMetadataProvider, PartitionStyle, PathPartitionFilter
  from ray.data.datasource.file_based_datasource import FILE_SIZE_FETCH_PARALLELIZATION_THRESHOLD
  from ray.data.datasource.path_util import _unwrap_protocol
  from ray.data.tests.conftest import *
  from ray.data.tests.mock_http_server import *
  from ray.data.tests.test_partitioning import PathPartitionEncoder
  from ray.data.tests.util import Counter
  from ray.tests.conftest import *
label_desc: Use image node_id 9 for calling a global function with example usage: test_csv_read_partitioned_hive_implicit(ray_start_regular_shared, fs, data_path, endpoint_url, write_base_partitioned_df, assert_base_partitioned_ds) without return types