code: def test_csv_read_meta_provider(
      ray_start_regular_shared,
      fs,
      data_path,
      endpoint_url,
  ):
      if endpoint_url is None:
          storage_options = {}
      else:
          storage_options = dict(
              client_kwargs=dict(endpoint_url=endpoint_url)
          )
  
      df1 = pd.DataFrame({"one": [1, 2, 3], "two": ["a", "b", "c"]})
      path1 = os.path.join(data_path, "test1.csv")
      df1.to_csv(path1, index=False, storage_options=storage_options)
      ds = ray.data.read_csv(
          path1,
          filesystem=fs,
          meta_provider=FastFileMetadataProvider(),
      )
  
      dsdf = ds.to_pandas()
      assert df1.equals(dsdf)
  
      # Expect to lazily compute all metadata correctly.
      assert ds.count() == 3
      assert ds.input_files() == [_unwrap_protocol(path1)]
      assert "{one: int64, two: string}" in str(ds), ds
  
      with pytest.raises(NotImplementedError):
          ray.data.read_csv(
              path1,
              filesystem=fs,
              meta_provider=BaseFileMetadataProvider(),
          )
  
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 5 for calling a global function with example usage: test_csv_read_meta_provider(ray_start_regular_shared, fs, data_path, endpoint_url) without return types