code: def test_tensor_array_scalar_cast():
      outer_dim = 3
      inner_shape = (1,)
      shape = (outer_dim,) + inner_shape
      num_items = np.prod(np.array(shape))
      arr = np.arange(num_items).reshape(shape)
  
      t_arr = TensorArray(arr)
  
      for t_arr_elem, arr_elem in zip(t_arr, arr):
          assert float(t_arr_elem) == float(arr_elem)
  
      arr = np.arange(1).reshape((1, 1, 1))
      t_arr = TensorArray(arr)
      assert float(t_arr) == float(arr)
  
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 18 for calling a global function with example usage: test_tensor_array_scalar_cast() without return types