code: def slice_keys_to_numpy_array(
      slice_keys: List[SliceKeyType],
  ) -> np.ndarray:
      """Converts a list of slice keys into a numpy array.
  
      This must be done in a special way to avoid numpy treating the slice key
      tuples as additional dimensions in the numpy array.
  
      Args:
        slice_keys: A list of SliceKeyTypes
  
      Returns:
        A numpy array with dtype=object where individual values are tuples.
      """
      result = np.empty(len(slice_keys), dtype=object)
      for i, slice_key in enumerate(slice_keys):
          result[i] = slice_key
      return result
  
imports: import itertools
  from typing import Any, Callable, Dict, Generator, Iterable, List, NamedTuple, Optional, Tuple, Union
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
  from tensorflow_model_analysis.slicer import slice_accessor
label_desc: Use image node_id 9 for calling a global function with example usage: slice_keys_to_numpy_array(slice_keys) and returns: result