code: def test_tensor_array_dataframe_repr():
      outer_dim = 3
      inner_shape = (2, 2)
      shape = (outer_dim,) + inner_shape
      num_items = np.prod(np.array(shape))
      arr = np.arange(num_items).reshape(shape)
  
      t_arr = TensorArray(arr)
      df = pd.DataFrame({"a": t_arr})
  
      expected_repr = """                      a
  0  [[ 0,  1], [ 2,  3]]
  1  [[ 4,  5], [ 6,  7]]
  2  [[ 8,  9], [10, 11]]"""
      assert repr(df) == expected_repr
  
imports: import itertools
  import numpy
  import pandas
  from packaging.version import parse
  import pyarrow
  import pytest
  from ray.air.util.tensor_extensions.arrow import ArrowTensorArray, ArrowTensorType, ArrowVariableShapedTensorArray, ArrowVariableShapedTensorType
  from ray.air.util.tensor_extensions.pandas import TensorArray, TensorDtype
  from ray.air.util.tensor_extensions.utils import create_ragged_ndarray
  from ray._private.utils import _get_pyarrow_version
label_desc: Use image node_id 17 for calling a global function with example usage: test_tensor_array_dataframe_repr() without return types