code: def test_read_csv():
      tempdir = tempfile.mkdtemp()
      file_path = os.path.join(tempdir, "test.csv")
      try:
          df = pd.DataFrame(
              np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
              columns=["a", "b", "c"],
              dtype=np.int64,
          )
          df.to_csv(file_path)
          mdf = read_csv(file_path, index_col=0, chunk_bytes=10)
          assert isinstance(mdf.op, DataFrameReadCSV)
          assert mdf.shape[1] == 3
          pd.testing.assert_index_equal(
              df.columns, mdf.columns_value.to_pandas()
          )
  
          mdf = tile(mdf)
          assert len(mdf.chunks) == 4
          index_keys = set()
          for chunk in mdf.chunks:
              index_keys.add(chunk.index_value.key)
              pd.testing.assert_index_equal(
                  df.columns, chunk.columns_value.to_pandas()
              )
              pd.testing.assert_series_equal(df.dtypes, chunk.dtypes)
          assert len(index_keys) > 1
      finally:
          shutil.rmtree(tempdir)
  
imports: import os
  import tempfile
  import shutil
  import string
  from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  from ....None import tensor
  from ....config import option_context
  from ....core import tile
  from ....tests.core import require_ray
  from ....utils import lazy_import
  from ...core import IndexValue, DatetimeIndex, Int64Index, Float64Index, MultiIndex
  from ..core import merge_small_files
  from ..dataframe import from_pandas
  from ..date_range import date_range
  from ..from_records import from_records
  from ..from_tensor import dataframe_from_tensor, series_from_tensor, dataframe_from_1d_tileables
  from ..index import from_pandas, from_tileable
  from ..read_csv import read_csv, DataFrameReadCSV
  from ..read_sql import read_sql_table, read_sql_query, DataFrameReadSQL
  from ..read_raydataset import read_ray_dataset, DataFrameReadRayDataset, read_ray_mldataset, DataFrameReadMLDataset
  from ...utils import ray_deprecate_ml_dataset
  from ..series import from_pandas
label_desc: Use image node_id 8 for calling a global function with example usage: test_read_csv() without return types