code: def get_ret_and_flattened_np_array(
      backend_to_test: str,
      fn,
      *args,
      test_trace=False,
      precision_mode=False,
      **kwargs,
  ):
      """Run func with args and kwargs.
  
      Return the result along with its flattened version.
      """
      fn = traced_if_required(
          backend_to_test,
          fn,
          test_trace=test_trace,
          args=args,
          kwargs=kwargs,
      )
      with BackendHandler.update_backend(
          backend_to_test
      ) as ivy_backend:
          with ivy_backend.PreciseMode(precision_mode):
              ret = fn(*args, **kwargs)
  
          def map_fn(x):
              if _is_frontend_array(x):
                  return x.ivy_array
              elif ivy_backend.is_native_array(x) or isinstance(
                  x, np.ndarray
              ):
                  return ivy_backend.to_ivy(x)
              return x
  
          ret = ivy_backend.nested_map(
              map_fn, ret, include_derived={"tuple": True}
          )
          return ret, flatten_and_to_np(
              backend=backend_to_test, ret=ret
          )
  
imports: import copy
  import time
  from typing import Union, List, Optional
  import numpy
  import types
  import importlib
  import inspect
  from collections import OrderedDict
  from .globals import mod_backend
  from .pipeline_helper import BackendHandler, BackendHandlerMode, get_frontend_config
  import ivy
  from ivy_tests.test_ivy.helpers.test_parameter_flags import FunctionTestFlags
  import ivy_tests.test_ivy.helpers.test_parameter_flags
  import ivy_tests.test_ivy.helpers.globals
  from ivy.functional.ivy.data_type import _get_function_list, _get_functions_from_string
  from ivy_tests.test_ivy.test_frontends import NativeClass
  from ivy_tests.test_ivy.helpers.structs import FrontendMethodData
  from ivy_tests.test_ivy.helpers.testing_helpers import _create_transpile_report
  from .assertions import value_test, assert_same_type, check_unsupported_dtype
label_desc: Use image node_id 29 for calling a global function with example usage: get_ret_and_flattened_np_array(backend_to_test, fn) and returns: ret,  flatten_and_to_np, x, x, ivy_backend