code: def test_validate_arrayN_uintlike(reshape):
      # test 0D input is reshaped to 1D by default
      arr = validate_arrayN_uintlike(0.0)
      assert arr.shape == (1,)
      assert np.array_equal(arr, [0])
      assert arr.dtype.type is np.int32 or arr.dtype.type is np.int64
  
      arr = validate_arrayN_uintlike(0.0, dtype_out="uint8")
      assert arr.dtype.type is np.uint8
  
      with pytest.raises(ValueError, match="Shape must be -1."):
          validate_arrayN_uintlike(0.0, reshape=False)
  
      msg = "_input values must all be greater than or equal to 0."
      with pytest.raises(ValueError, match=msg):
          validate_arrayN_uintlike([-1, 1], name="_input")
  
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 16 for calling a global function with example usage: test_validate_arrayN_uintlike(reshape) without return types