code: def test_read_s3_file_error(shutdown_only, s3_path):
      dummy_path = s3_path + "_dummy"
      error_message = "Please check that file exists and has properly configured access."
      with pytest.raises(OSError, match=error_message):
          ray.data.read_parquet(dummy_path)
      with pytest.raises(OSError, match=error_message):
          ray.data.read_binary_files(dummy_path)
      with pytest.raises(OSError, match=error_message):
          ray.data.read_csv(dummy_path)
      with pytest.raises(OSError, match=error_message):
          ray.data.read_json(dummy_path)
      with pytest.raises(OSError, match=error_message):
          error = OSError(
              f"Error creating dataset. Could not read schema from {dummy_path}: AWS "
              "Error [code 15]: No response body.. Is this a 'parquet' file?"
          )
          _handle_read_os_error(error, dummy_path)
  
imports: import os
  from typing import Iterable, List
  import pandas
  import pyarrow
  import pyarrow.parquet
  import pytest
  import torchvision
  from fsspec.implementations.http import HTTPFileSystem
  from fsspec.implementations.local import LocalFileSystem
  import ray
  from ray._private.test_utils import wait_for_condition
  from ray.data._internal.execution.interfaces import TaskContext
  from ray.data.block import Block, BlockAccessor
  from ray.data.datasource import Datasource, DummyOutputDatasource, WriteResult
  from ray.data.datasource.file_meta_provider import _handle_read_os_error
  from ray.data.tests.conftest import *
  from ray.data.tests.mock_http_server import *
  from ray.data.tests.util import extract_values
  from ray.tests.conftest import *
  from ray.types import ObjectRef
label_desc: Use image node_id 13 for calling a global function with example usage: test_read_s3_file_error(shutdown_only, s3_path) without return types