code: def _todense_batching_rule(batched_args, batch_dims, *, tree):
      return (
          jax.vmap(partial(_todense_impl, tree=tree), batch_dims)(
              *batched_args
          ),
          0,
      )
  
imports: from __future__ import annotations
  from functools import partial
  import operator
  from typing import Optional, Union
  import jax
  from jax import tree_util
  from jax.experimental.sparse._base import JAXSparse
  from jax.experimental.sparse.bcoo import BCOO
  from jax.experimental.sparse.bcsr import BCSR
  from jax.experimental.sparse.coo import COO
  from jax.experimental.sparse.csr import CSR, CSC
  from jax.experimental.sparse.util import _coo_extract
  from jax.interpreters import mlir
  from jax._src import core
  from jax._src import dtypes
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.typing import Array, DTypeLike, Shape
label_desc: Use image node_id 6 for calling a global function with example usage: _todense_batching_rule(batched_args, batch_dims) and returns: jax,  int