code: def test_create_ragged_ndarray(values):
      ragged_array = create_ragged_ndarray(values)
      assert len(ragged_array) == len(values)
      for actual_array, expected_array in zip(ragged_array, values):
          np.testing.assert_array_equal(actual_array, expected_array)
  
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 1 for calling a global function with example usage: test_create_ragged_ndarray(values) without return types