def _get_ngram_counter(ids, n):
  """Get a Counter with the ngrams of the given ID list.

  Args:
    ids: np.array or a list corresponding to a single sentence
    n: n-gram size

  Returns:
    collections.Counter with ID tuples as keys and 1s as values.
  """
  # Remove zero IDs used to pad the sequence.
  ids = [token_id for token_id in ids if token_id != 0]
  ngram_list = [tuple(ids[i:i + n]) for i in range(len(ids) + 1 - n)]
  ngrams = set(ngram_list)
  counts = collections.Counter()
  for ngram in ngrams:
    counts[ngram] = 1
  return counts
Get a Counter with the ngrams of the given ID list.

  Args:
    ids: np.array or a list corresponding to a single sentence
    n: n-gram size

  Returns:
    collections.Counter with ID tuples as keys and 1s as values.