code: def test_tensor_array_block_slice():
      # Test that ArrowBlock slicing works with tensor column extension type.
      def check_for_copy(table1, table2, a, b, is_copy):
          expected_slice = table1.slice(a, b - a)
          assert table2.equals(expected_slice)
          assert table2.schema == table1.schema
          assert table1.num_columns == table2.num_columns
          for col1, col2 in zip(table1.columns, table2.columns):
              assert col1.num_chunks == col2.num_chunks
              for chunk1, chunk2 in zip(col1.chunks, col2.chunks):
                  bufs1 = chunk1.buffers()
                  bufs2 = chunk2.buffers()
                  expected_offset = 0 if is_copy else a
                  assert chunk2.offset == expected_offset
                  assert len(chunk2) == b - a
                  if is_copy:
                      assert bufs2[1].address != bufs1[1].address
                  else:
                      assert bufs2[1].address == bufs1[1].address
  
      n = 20
      one_arr = np.arange(4 * n).reshape(n, 2, 2)
      df = pd.DataFrame({"one": TensorArray(one_arr), "two": ["a"] * n})
      table = pa.Table.from_pandas(df)
      a, b = 5, 10
      block_accessor = BlockAccessor.for_block(table)
  
      # Test with copy.
      table2 = block_accessor.slice(a, b, True)
      np.testing.assert_array_equal(
          table2["one"].chunk(0).to_numpy(), one_arr[a:b, :, :]
      )
      check_for_copy(table, table2, a, b, is_copy=True)
  
      # Test without copy.
      table2 = block_accessor.slice(a, b, False)
      np.testing.assert_array_equal(
          table2["one"].chunk(0).to_numpy(), one_arr[a:b, :, :]
      )
      check_for_copy(table, table2, a, b, is_copy=False)
  
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 7 for calling a global function with example usage: test_tensor_array_block_slice() without return types