code: def unflatten_arg_shapes(self, arg_shapes, arg_shardings):
      return self.in_tree.unflatten(
          [
              self.unflatten_arg_shape(s, sharding)
              for s, sharding in zip(arg_shapes, arg_shardings)
          ]
      )
  
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 3 for calling the _ShardingCallbackInfo obj's underlying member method code with example usage: obj.unflatten_arg_shapes(arg_shapes, arg_shardings) and returns: self