code: def testSparseCondMismatchError(self):
      @self.sparsify
      def func(x, y):
          return lax.cond(False, lambda x: x[0], lambda x: x[1], (x, y))
  
      x = jnp.arange(5.0)
      y = jnp.arange(5.0)
  
      x_bcoo = BCOO.fromdense(x)
      y_bcoo = BCOO.fromdense(y)
  
      func(x, y)  # No error
      func(x_bcoo, y_bcoo)  # No error
  
      with self.assertRaisesRegex(
          TypeError, "sparsified true_fun and false_fun output.*"
      ):
          func(x_bcoo, y)
  
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 29 for calling the SparsifyTest obj's underlying member method code with example usage: obj.testSparseCondMismatchError() and returns: lax