code: def call(exported: Exported) -> Callable[..., jax.Array]:
      if not isinstance(exported, Exported):
          raise ValueError(
              "The exported argument must be an export.Exported. "
              f"Found {exported}."
          )
  
      @jax.custom_vjp
      def f_flat(*args_flat):
          return call_exported_p.bind(*args_flat, exported=exported)
  
      def f_flat_vjp_fwd(*args_flat):
          # Return the primal arguments as the residual
          # TODO: keep as residuals only the arguments that are needed
          return f_flat(*args_flat), args_flat
  
      def f_flat_vjp_bwd(residual, ct_res_flat):
          args_flat = (
              residual  # residual is the primal argument flat tuple
          )
          exp_vjp = exported.vjp()
  
          # ct_res_flat may contain arrays of zeros where exp_vjp expect float0.
          # We make the proper arrays of float0 to invoke exp_vjp.
          def fix_float0_ct(ct_res, expected_aval):
              if expected_aval.dtype != dtypes.float0:
                  return ct_res
              return ad_util.zeros_like_aval(expected_aval)
  
          ct_res_fixed = map(
              fix_float0_ct,
              ct_res_flat,
              exp_vjp.in_avals[len(args_flat) :],
          )
          in_ct_flat = call_exported(exp_vjp)(*args_flat, *ct_res_fixed)
          return in_ct_flat
  
      f_flat.defvjp(f_flat_vjp_fwd, f_flat_vjp_bwd)
  
      def f_imported(*args, **kwargs):
          # since custom_vjp does not support kwargs, flatten the function first.
          args_flat, in_tree = tree_util.tree_flatten((args, kwargs))
          if in_tree != exported.in_tree:
              # Give errors with the precise tree difference; use fake leaves so we can
              # use tree_util.equality_errors.
              in_args = in_tree.unflatten([0] * in_tree.num_leaves)
              exp_in_args = exported.in_tree.unflatten(
                  [0] * exported.in_tree.num_leaves
              )
  
              msg = (
                  "The invocation args and kwargs must have the same pytree structure "
                  f"as when the function '{exported.fun_name}' was exported, but they "
                  "have the following structural differences:\n"
                  + (
                      "\n".join(
                          f"   - {_shape_poly.args_kwargs_path_to_str(path)} is a {thing1} in the invocation and a "
                          f"{thing2} when exported, so {explanation}.\n"
                          for path, thing1, thing2, explanation in tree_util.equality_errors(
                              in_args, exp_in_args
                          )
                      )
                  )
              )
              raise ValueError(msg)
  
          res_flat = f_flat(*args_flat)
          return exported.out_tree.unflatten(res_flat)
  
      return f_imported
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  import copy
  import dataclasses
  import functools
  import itertools
  import re
  from typing import Any, Callable, Union
  import warnings
  from absl import logging
  import numpy
  import jax
  from jax import sharding
  from jax._src import ad_util
  from jax._src import config
  from jax._src import core
  from jax._src import dispatch
  from jax._src import dtypes
  from jax._src import effects
  from jax._src.interpreters import mlir
  from jax._src.interpreters import pxla
  from jax._src.lib import xla_client
  from jax._src.lib.mlir import ir
  from jax._src.lib.mlir.dialects import hlo
  from jax._src.lib.mlir.dialects import func
  from jax._src import pjit
  from jax._src import sharding_impls
  from jax._src import source_info_util
  from jax._src import tree_util
  from jax._src import util
  from jax._src import xla_bridge
  from jax.experimental.export import _shape_poly
label_desc: Use image node_id 15 for calling a global function with example usage: call(exported) and returns: f_imported, call_exported_p, f_flat,  args_flat, in_ct_flat, exported, ad_util, ct_res