code: def todense(arr: JAXSparse | Array) -> Array:
      """Convert input to a dense matrix. If input is already dense, pass through."""
      bufs, tree = tree_util.tree_flatten(arr)
      return todense_p.bind(*bufs, tree=tree)
  
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 1 for calling a global function with example usage: todense(arr) and returns: todense_p