code: def is_cross_slice_applicable(
      cross_slice_key: CrossSliceKeyType,
      cross_slicing_spec: config_pb2.CrossSlicingSpec,
  ) -> bool:
      """Checks if CrossSlicingSpec is applicable to the CrossSliceKeyType."""
      baseline_slice_key, comparison_slice_key = cross_slice_key
  
      if not SingleSliceSpec(
          spec=cross_slicing_spec.baseline_spec
      ).is_slice_applicable(baseline_slice_key):
          return False
      for comparison_slicing_spec in cross_slicing_spec.slicing_specs:
          if SingleSliceSpec(
              spec=comparison_slicing_spec
          ).is_slice_applicable(comparison_slice_key):
              return True
      return False
  
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 10 for calling a global function with example usage: is_cross_slice_applicable(cross_slice_key, cross_slicing_spec) and returns: False, False, True