code: def _test_against_mc(
      self, apply_fn, init_fn, k, x1, x2, tol=0.01, n=256
  ):
      kernel_fn_mc = nt.monte_carlo_kernel_fn(
          init_fn,
          apply_fn,
          random.PRNGKey(2),
          n_samples=n,
          device_count=0,
          implementation=_DEFAULT_TESTING_NTK_IMPLEMENTATION,
          vmap_axes=0,
      )
      k_mc = kernel_fn_mc(x1, x2, "nngp")
      test_utils.assert_close_matrices(self, k_mc, k, tol)
  
imports: import itertools
  import random
  import string
  import time
  from absl.testing import absltest
  from jax import default_backend
  from jax import jit
  from jax import lax
  from jax import random
  from jax import vjp
  from jax import config
  import jax.numpy
  import more_itertools
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from neural_tangents._src.utils import utils
  from tests import test_utils
  import numpy
label_desc: Use image node_id 6 for calling the ConvLocalTest obj's underlying member method code with example usage: obj._test_against_mc(apply_fn, init_fn, k, x1, x2, tol, n) without return types