code: def test_read(self):
      name = "my_name"
      train_info = SplitInfo(name="train", num_examples=100)
      test_info = SplitInfo(name="test", num_examples=100)
      split_infos = [train_info, test_info]
      split_dict = SplitDict()
      split_dict.add(train_info)
      split_dict.add(test_info)
      info = DatasetInfo(splits=split_dict)
  
      with tempfile.TemporaryDirectory() as tmp_dir:
          reader = ReaderTest(tmp_dir, info)
  
          instructions = "test[:33%]"
          dset = Dataset(**reader.read(name, instructions, split_infos))
          self.assertEqual(dset["filename"][0], f"{name}-test")
          self.assertEqual(dset.num_rows, 33)
          self.assertEqual(dset.num_columns, 1)
  
          instructions1 = ["train", "test[:33%]"]
          instructions2 = [
              Split.TRAIN,
              ReadInstruction.from_spec("test[:33%]"),
          ]
          for instructions in [instructions1, instructions2]:
              datasets_kwargs = [
                  reader.read(name, instr, split_infos)
                  for instr in instructions
              ]
              train_dset, test_dset = (
                  Dataset(**dataset_kwargs)
                  for dataset_kwargs in datasets_kwargs
              )
              self.assertEqual(
                  train_dset["filename"][0], f"{name}-train"
              )
              self.assertEqual(train_dset.num_rows, 100)
              self.assertEqual(train_dset.num_columns, 1)
              self.assertIsInstance(train_dset.split, NamedSplit)
              self.assertEqual(str(train_dset.split), "train")
              self.assertEqual(test_dset["filename"][0], f"{name}-test")
              self.assertEqual(test_dset.num_rows, 33)
              self.assertEqual(test_dset.num_columns, 1)
              self.assertIsInstance(test_dset.split, NamedSplit)
              self.assertEqual(str(test_dset.split), "test[:33%]")
              del train_dset, test_dset
  
imports: import os
  import tempfile
  from pathlib import Path
  from unittest import TestCase
  import pyarrow
  import pytest
  from datasets.arrow_dataset import Dataset
  from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
  from datasets.info import DatasetInfo
  from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo
  from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
label_desc: Use image node_id 1 for calling the BaseReaderTest obj's underlying member method code with example usage: obj.test_read() without return types