code: def testSparseDiv(self, shape, dtype, n_batch, n_dense):
      rng_dense = jtu.rand_nonzero(self.rng())
      rng_sparse = rand_sparse(
          self.rng(), rand_method=jtu.rand_some_zero
      )
      x = BCOO.fromdense(
          rng_sparse(shape, dtype), n_batch=n_batch, n_dense=n_dense
      )
      spdiv = self.sparsify(operator.truediv)
  
      # Scalar division
      divisor = 2
      expected = x.todense() / divisor
      self.assertAllClose(expected, spdiv(x, divisor).todense())
      self.assertAllClose(expected, (x / divisor).todense())
  
      # Array division
      divisor = rng_dense(shape, dtype)
      expected = x.todense() / divisor
      self.assertAllClose(expected, spdiv(x, divisor).todense())
      self.assertAllClose(expected, (x / divisor).todense())
  
imports: from functools import partial
  import math
  import operator
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import jax
  from jax import config, jit, lax
  import jax.numpy
  import jax._src.test_util
  from jax.experimental.sparse import BCOO, BCSR, sparsify, todense, SparseTracer
  from jax.experimental.sparse.transform import arrays_to_spvalues, spvalues_to_arrays, sparsify_raw, SparsifyValue, SparsifyEnv
  from jax.experimental.sparse.util import CuSparseEfficiencyWarning
  from jax.experimental.sparse import test_util
label_desc: Use image node_id 13 for calling the SparsifyTest obj's underlying member method code with example usage: obj.testSparseDiv(shape, dtype, n_batch, n_dense) without return types