code: def _flatten_sharding(tree, shardings, shapes):
      return [
          _to_hlo_sharding(sharding, len(shape.dimensions()))
          for sharding, shape in zip(
              tree.flatten_up_to(shardings), shapes
          )
      ]
  
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 5 for calling a global function with example usage: _flatten_sharding(tree, shardings, shapes) and returns: unknown