code: def test_read_files_with_legally_conflicting_key(
      self, data, tmp_path, block_type, ray_start_regular_shared
  ):
      path = os.path.join(tmp_path, "01", "data.csv")
      write_csv({"month": data}, path)
  
      # `month` is a field in both the path and the CSV, but because the data is
      # identical, we don't raise an error.
      ds = read_csv(
          path,
          partitioning=Partitioning(
              "dir", field_names=["month"], base_dir=tmp_path
          ),
          block_type=block_type,
      )
  
      df = ds.to_pandas()
      assert list(df.columns) == ["month"]
      assert list(df["month"]) == [1, 1, 1]
  
imports: import json
  import os
  import posixpath
  from typing import Any, Callable, Dict, Iterator, List, Optional, Union
  import pandas
  import pyarrow
  import pyarrow
  import pytest
  from pyarrow.fs import FileType
  from pytest_lazyfixture import lazy_fixture
  import ray
  from ray.data.block import Block
  from ray.data.dataset import Dataset
  from ray.data.datasource import FileBasedDatasource, PathPartitionParser
  from ray.data.datasource.file_based_datasource import FileExtensionFilter, _resolve_paths_and_filesystem
  from ray.data.datasource.partitioning import Partitioning, PartitionStyle, PathPartitionFilter
  from ray.data.tests.conftest import *
  from ray.tests.conftest import *
label_desc: Use image node_id 6 for calling the TestReadDirPartitionedFiles obj's underlying member method code with example usage: obj.test_read_files_with_legally_conflicting_key(data, tmp_path, block_type, ray_start_regular_shared) without return types