code: def testSparseForiLoop(self):
      def func(M, x):
          body_fun = lambda i, val: (M @ val) / M.shape[1]
          return lax.fori_loop(0, 2, body_fun, x)
  
      x = jnp.arange(5.0)
      M = jnp.arange(25).reshape(5, 5)
      M_bcoo = BCOO.fromdense(M)
  
      with jax.numpy_dtype_promotion("standard"):
          result_dense = func(M, x)
          result_sparse = self.sparsify(func)(M_bcoo, x)
  
      self.assertArraysAllClose(result_dense, result_sparse)
  
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 27 for calling the SparsifyTest obj's underlying member method code with example usage: obj.testSparseForiLoop() and returns: lax