code: def test_validate_transform_as_array3x3(transform_like):
      result = validate_transform3x3(transform_like)
      assert type(result) is np.ndarray
      assert np.array_equal(result, np.eye(3))
  
imports: from collections import namedtuple
  from re import escape
  import sys
  from typing import Union, get_args, get_origin
  import numpy
  import pytest
  from vtk import vtkTransform
  from pyvista.core import pyvista_ndarray
  from pyvista.core.input_validation.check import _validate_shape_value, check_has_length, check_has_shape, check_is_arraylike, check_is_dtypelike, check_is_finite, check_is_greater_than, check_is_in_range, check_is_instance, check_is_integerlike, check_is_iterable, check_is_iterable_of_some_type, check_is_iterable_of_strings, check_is_less_than, check_is_nonnegative, check_is_number, check_is_real, check_is_scalar, check_is_sequence, check_is_sorted, check_is_string, check_is_string_in_iterable, check_is_subdtype, check_is_type
  from pyvista.core.input_validation.validate import _set_default_kwarg_mandatory, validate_array, validate_array3, validate_arrayN, validate_arrayN_uintlike, validate_arrayNx3, validate_axes, validate_data_range, validate_dtype, validate_number, validate_transform3x3, validate_transform4x4
  from pyvista.core.utilities.arrays import cast_to_tuple_array, vtkmatrix_from_array
label_desc: Use image node_id 3 for calling a global function with example usage: test_validate_transform_as_array3x3(transform_like) without return types