code: def test_diagonal_batch(self, same_inputs, readin, readout):
      kernel_fn, x1, x2 = self._get_kernel_fn(
          same_inputs, readin, readout
      )
      K = kernel_fn(x1, x2)
      K_full = kernel_fn(x1, x2, diagonal_batch=False)
  
      if same_inputs:
          self.assertAllClose(K_full.cov1, K.nngp)
          self.assertAllClose(K_full.cov2, K.cov2)
      else:
          self.assertAllClose(K_full.cov1, kernel_fn(x1, None).nngp)
          self.assertAllClose(K_full.cov2, kernel_fn(x2, None).nngp)
  
      K_full = K_full.replace(
          cov1=K.cov1, cov2=K.cov2, diagonal_batch=K.diagonal_batch
      )
      self.assertAllClose(K_full, K)
  
imports: import itertools
  import random
  from absl.testing import absltest
  from jax import config
  from jax import default_backend
  from jax import jit
  from jax import random
  import jax.numpy
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from tests import test_utils
label_desc: Use image node_id 2 for calling the DiagonalTest obj's underlying member method code with example usage: obj.test_diagonal_batch(same_inputs, readin, readout) without return types