import numpy as np

def get_single_example(n_tokens=16, seqlen=64, max_count=9):
  seq = np.random.randint(low=0, high=n_tokens, size=(seqlen,))
  label = [min(list(seq[:i]).count(x), max_count) for i, x in enumerate(seq)]
  label = np.array(label)
  return seq, label