code: def test_convert_vector_order_cuml_array(
      dtype, input_type, shape, from_order, to_order
  ):
      input_data, real_data = get_input(
          input_type, shape[0], shape[1], dtype, order=from_order
      )
  
      # conv_data = np.array(real_data, order=to_order, copy=True)
      conv_data, *_ = input_to_cuml_array(
          input_data, fail_on_order=False, order=to_order
      )
  
      np.testing.assert_equal(real_data, conv_data.to_output("numpy"))
  
imports: from pandas import Series
  from cuml.internals.safe_imports import cpu_only_import_from
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.internals.input_utils import convert_dtype
  from cuml.common import has_cupy
  from cuml.internals.input_utils import input_to_cupy_array
  from cuml.common import input_to_host_array
  from cuml.common import input_to_cuml_array, CumlArray
  from cuml.internals.safe_imports import cpu_only_import
  import pytest
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 4 for calling a global function with example usage: test_convert_vector_order_cuml_array(dtype, input_type, shape, from_order, to_order) without return types