code: def _asarray_to_native_arrays_and_back(fn: Callable) -> Callable:
      @functools.wraps(fn)
      def _asarray_to_native_arrays_and_back_wrapper(
          *args, dtype=None, **kwargs
      ):
          """Wrap `fn` so that input arrays are all converted to
          `ivy.NativeArray` instances and return arrays are all converted to
          `ivy.Array` instances.
  
          This wrapper is specifically for the backend implementations of
          asarray.
  
          It assumes either all the elements in a leaf list are ivy arrays
          or none of them are. It checks the first element of all the leaf
          list. If it is an ivy array, it converts all the elements in the
          leaf list to native otherwise it skips that leaf list.
          """
          new_arg = _ivy_to_native(args[0])
          new_args = (new_arg,) + args[1:]
          if dtype is not None:
              dtype = ivy.default_dtype(dtype=dtype, as_native=True)
          return to_ivy(fn(*new_args, dtype=dtype, **kwargs))
  
      return _asarray_to_native_arrays_and_back_wrapper
  
imports: from __future__ import annotations
  import functools
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence, Callable, Protocol, TypeVar, Iterable
  import numpy
  import ivy
  from ivy import to_ivy
  from ivy.utils.exceptions import handle_exceptions
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, infer_dtype, handle_out_argument, outputs_to_ivy_arrays, inputs_to_native_arrays, inputs_to_native_shapes, to_native_arrays_and_back, handle_nestable, handle_array_like_without_promotion, handle_device, handle_backend_invalid, temp_asarray_wrapper
label_desc: Use image node_id 6 for calling a global function with example usage: _asarray_to_native_arrays_and_back(fn) and returns: _asarray_to_native_arrays_and_back_wrapper, to_ivy