code: def _make_match_stats_counter(
      base_with_id_count=0,
      test_with_id_count=0,
      id_count=0,
      missing_base_count=0,
      missing_test_count=0,
      pairs_count=0,
      duplicate_id_count=0,
      ids_missing_in_base_count=0,
      ids_missing_in_test_count=0,
  ) -> np.ndarray:
      return np.array(
          [
              base_with_id_count,
              test_with_id_count,
              id_count,
              missing_base_count,
              missing_test_count,
              pairs_count,
              duplicate_id_count,
              ids_missing_in_base_count,
              ids_missing_in_test_count,
          ],
          dtype=np.int64,
      )
  
imports: from typing import Any, Dict, Iterable, Iterator, List, Optional, Tuple, Union
  import apache_beam
  import farmhash
  import numpy
  import tensorflow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.utils import artifacts_io_impl
  from tensorflow_data_validation.skew.protos import feature_skew_results_pb2
label_desc: Use image node_id 10 for calling a global function with example usage: _make_match_stats_counter(base_with_id_count, test_with_id_count, id_count, missing_base_count, missing_test_count, pairs_count, duplicate_id_count, ids_missing_in_base_count, ids_missing_in_test_count) and returns: np