code: def _todense_abstract_eval(*bufs, tree):
      arr = tree_util.tree_unflatten(tree, bufs)
      if isinstance(arr, core.ShapedArray):
          return arr
      return core.ShapedArray(
          arr.shape,
          arr.dtype,
          weak_type=dtypes.is_weakly_typed(arr.data),
      )
  
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 3 for calling a global function with example usage: _todense_abstract_eval() and returns: core, arr