code: def test_csv_read_filter_non_csv_file(shutdown_only, tmp_path):
      df = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]})
  
      # CSV file with .csv extension.
      path1 = os.path.join(tmp_path, "test2.csv")
      df.to_csv(path1, index=False)
  
      # CSV file without .csv extension.
      path2 = os.path.join(tmp_path, "test3")
      df.to_csv(path2, index=False)
  
      # Directory of CSV files.
      ds = ray.data.read_csv(tmp_path)
      assert ds.to_pandas().equals(
          pd.concat([df, df], ignore_index=True)
      )
  
      # Non-CSV file in Parquet format.
      table = pa.Table.from_pandas(df)
      path3 = os.path.join(tmp_path, "test1.parquet")
      pq.write_table(table, path3)
  
      # Single non-CSV file.
      error_message = "Failed to read CSV file"
      with pytest.raises(ValueError, match=error_message):
          ray.data.read_csv(path3).schema()
  
      # Single non-CSV file with filter.
      error_message = "No input files found to read"
      with pytest.raises(ValueError, match=error_message):
          ray.data.read_csv(path3, file_extensions=["csv"]).schema()
  
      # Single CSV file without extension.
      ds = ray.data.read_csv(path2)
      assert ds.to_pandas().equals(df)
  
      # Single CSV file without extension with filter.
      error_message = "No input files found to read"
      with pytest.raises(ValueError, match=error_message):
          ray.data.read_csv(path2, file_extensions=["csv"]).schema()
  
      # Directory of CSV and non-CSV files.
      error_message = "Failed to read CSV file"
      with pytest.raises(ValueError, match=error_message):
          ray.data.read_csv(tmp_path).schema()
  
      # Directory of CSV and non-CSV files with filter.
      ds = ray.data.read_csv(tmp_path, file_extensions=["csv"])
      assert ds.to_pandas().equals(df)
  
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 18 for calling a global function with example usage: test_csv_read_filter_non_csv_file(shutdown_only, tmp_path) without return types