code: def test_numpy_wald(
      input_dtypes,
      size,
      frontend,
      test_flags,
      backend_fw,
      fn_tree,
      on_device,
      mean,
      scale,
  ):
      test_flags.num_positional_args = 2
      helpers.test_frontend_function(
          input_dtypes=input_dtypes,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          test_values=False,
          mean=mean,
          scale=scale,
          size=size,
      )
  
imports: from hypothesis import strategies, assume
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 33 for calling a global function with example usage: test_numpy_wald(input_dtypes, size, frontend, test_flags, backend_fw, fn_tree, on_device, mean, scale) without return types