code: def _get_data_and_kernel_fn(
      cls,
      input_shape,
      kernel_type,
      network,
      test_size,
      train_size,
      **kwargs,
  ):
      test_utils.stub_out_pmap(batching, 2)
      key = random.PRNGKey(0)
      key, self_split, other_split = random.split(key, 3)
      data_self = random.normal(self_split, (train_size, *input_shape))
      data_other = random.normal(other_split, (test_size, *input_shape))
      kernel_fn = KERNELS[kernel_type]
      kernel_fn = kernel_fn(key, input_shape, network, **kwargs)
      return data_other, data_self, kernel_fn
  
imports: from functools import partial
  from absl.testing import absltest
  from jax import jit
  from jax import config
  from jax import random
  import jax.numpy
  from jax.tree_util import tree_map
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src import batching
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from tests import test_utils
label_desc: Use image node_id 1 for calling the BatchTest obj's underlying member method code with example usage: obj._get_data_and_kernel_fn(cls, input_shape, kernel_type, network, test_size, train_size) and returns: data_other,  data_self,  kernel_fn