code: def test_csv_read_partitioning(ray_start_regular_shared, tmp_path):
      path = os.path.join(tmp_path, "country=us", "file.csv")
      os.mkdir(os.path.dirname(path))
      df = pd.DataFrame(
          {"numbers": [1, 2, 3], "letters": ["a", "b", "c"]}
      )
      df.to_csv(path, index=False)
  
      ds = ray.data.read_csv(path)
  
      assert ds.take() == [
          {"numbers": 1, "letters": "a", "country": "us"},
          {"numbers": 2, "letters": "b", "country": "us"},
          {"numbers": 3, "letters": "c", "country": "us"},
      ]
  
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 2 for calling a global function with example usage: test_csv_read_partitioning(ray_start_regular_shared, tmp_path) without return types