code: def _repeat(values, count):
      """Produces a list of lists suitable for testing interleave.
  
      Args:
        values: for each element `x` the result contains `[x] * x`
        count: determines how many times to repeat `[x] * x` in the result
  
      Returns:
        A list of lists of values suitable for testing interleave.
      """
      return [[value] * value for value in np.tile(values, count)]
  
imports: import multiprocessing
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling a global function with example usage: _repeat(values, count) and returns: unknown