code: def _todense_transpose(ct, *bufs, tree):
      assert ad.is_undefined_primal(bufs[0])
      assert not any(ad.is_undefined_primal(buf) for buf in bufs[1:])
  
      standin = object()
      obj = tree_util.tree_unflatten(tree, [standin] * len(bufs))
      from jax.experimental.sparse import BCOO, BCSR
      from jax.experimental.sparse.bcoo import _bcoo_extract
      from jax.experimental.sparse.bcsr import bcsr_extract
  
      if obj is standin:
          return (ct,)
      elif isinstance(obj, BCOO):
          _, indices = bufs
          return _bcoo_extract(indices, ct), indices
      elif isinstance(obj, BCSR):
          _, indices, indptr = bufs
          return bcsr_extract(indices, indptr, ct), indices, indptr
      elif isinstance(obj, COO):
          _, row, col = bufs
          return _coo_extract(row, col, ct), row, col
      else:
          raise NotImplementedError(
              f"todense_transpose for {type(obj)}"
          )
  
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 5 for calling a global function with example usage: _todense_transpose(ct) and returns: ct, _bcoo_extract,  indices, bcsr_extract,  indices,  indptr, _coo_extract,  row,  col