code: def test_tensor_array_boolean_slice_pandas_roundtrip(
      init_with_pandas, test_data, a, b
  ):
      is_variable_shaped = len({len(elem) for elem in test_data}) > 1
      n = len(test_data)
      test_arr = _create_possibly_ragged_ndarray(test_data)
      df = pd.DataFrame(
          {"one": TensorArray(test_arr), "two": ["a"] * n}
      )
      if init_with_pandas:
          table = pa.Table.from_pandas(df)
      else:
          if is_variable_shaped:
              col = ArrowVariableShapedTensorArray.from_numpy(test_arr)
          else:
              col = ArrowTensorArray.from_numpy(test_arr)
          table = pa.table({"one": col, "two": ["a"] * n})
      block_accessor = BlockAccessor.for_block(table)
  
      # Test without copy.
      table2 = block_accessor.slice(a, b, False)
      out = table2["one"].chunk(0).to_numpy()
      expected = test_arr[a:b]
      if is_variable_shaped:
          for o, e in zip(out, expected):
              np.testing.assert_array_equal(o, e)
      else:
          np.testing.assert_array_equal(out, expected)
      pd.testing.assert_frame_equal(
          table2.to_pandas().reset_index(drop=True),
          df[a:b].reset_index(drop=True),
      )
  
      # Test with copy.
      table2 = block_accessor.slice(a, b, True)
      out = table2["one"].chunk(0).to_numpy()
      expected = test_arr[a:b]
      if is_variable_shaped:
          for o, e in zip(out, expected):
              np.testing.assert_array_equal(o, e)
      else:
          np.testing.assert_array_equal(out, expected)
      pd.testing.assert_frame_equal(
          table2.to_pandas().reset_index(drop=True),
          df[a:b].reset_index(drop=True),
      )
  
imports: import time
  import numpy
  import pandas
  import pyarrow
  import pytest
  import ray
  from ray.air.util.tensor_extensions.utils import _create_possibly_ragged_ndarray
  from ray.data.block import BlockAccessor
  from ray.data.extensions.tensor_extension import ArrowTensorArray, ArrowTensorType, ArrowVariableShapedTensorArray, ArrowVariableShapedTensorType, TensorArray, TensorDtype
  from ray.data.tests.conftest import *
  from ray.data.tests.util import extract_values
  from ray.tests.conftest import *
label_desc: Use image node_id 8 for calling a global function with example usage: test_tensor_array_boolean_slice_pandas_roundtrip(init_with_pandas, test_data, a, b) without return types