code: def _pack_result_sharding(shape, result_shardings):
      if shape.is_tuple():
          return xc.HloSharding.tuple_sharding(shape, result_shardings)
      else:
          return result_shardings[0]
  
imports: from __future__ import annotations
  import inspect
  from typing import Optional
  import weakref
  import jax
  from jax._src import core
  from jax import tree_util
  from jax._src import linear_util
  from jax._src import sharding_impls
  from jax.errors import UnexpectedTracerError
  from jax._src import mesh
  from jax._src import dispatch
  from jax._src.lib.mlir.dialects import hlo
  from jax._src.lib.mlir import ir
  from jax._src.interpreters import mlir
  from jax._src.interpreters import partial_eval
  from jax._src.sharding_impls import _op_sharding_to_pos_sharding
  from jax._src import custom_api_util
  from jax._src.lib import xla_client
  from jax._src.api_util import flatten_fun_nokwargs, argnums_partial
label_desc: Use image node_id 4 for calling a global function with example usage: _pack_result_sharding(shape, result_shardings) and returns: xc, result_shardings