code: def test_sklearn_test_train_split(
      arrays_and_dtypes,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
      shuffle,
  ):
      dtypes, values = arrays_and_dtypes
      kw = {}
      for i, x_ in enumerate(values):
          kw[f"x{i}"] = x_
      test_flags.num_positional_args = len(values)
      helpers.test_frontend_function(
          input_dtypes=dtypes,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_tree=fn_tree,
          frontend=frontend,
          on_device=on_device,
          test_values=False,
          **kw,
          shuffle=shuffle,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_sklearn/test_model_selection/test_split.py
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test, handle_frontend_method
label_desc: Use image node_id 5 for calling a global function with example usage: test_sklearn_test_train_split(arrays_and_dtypes, on_device, fn_tree, frontend, test_flags, backend_fw, shuffle) without return types