code: def read_csv(
      paths: Union[str, List[str]],
      *,
      partitioning: Partitioning,
      block_type: Union[pd.DataFrame, pa.Table],
  ) -> Dataset:
      datasource = CSVDatasource(
          paths, block_type=block_type, partitioning=partitioning
      )
      return ray.data.read_datasource(datasource)
  
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 2 for calling a global function with example usage: read_csv(paths) and returns: ray