code: def load_cis(
      output_dir: str,
  ) -> Tuple[
      Dict[metric_types.MetricKey, List[_CIType]],
      Dict[metric_types.MetricKey, float],
  ]:
      """Loads the population point estimates and trial CIs from TFMA runs."""
      population_values = load_point_estimates(
          os.path.join(output_dir, _POPULATION_OUTPUT_NAME)
      )
      trials_cis = collections.defaultdict(list)
      pattern = os.path.join(output_dir, "trial-*")
      for trial_path in tf.io.gfile.glob(pattern):
          trial_cis = load_trial_cis(trial_path)
          for key, ci in trial_cis.items():
              trials_cis[key].append(ci)
      return trials_cis, population_values
  
imports: import collections
  import os
  from typing import Callable, Dict, Iterable, Iterator, List, Sequence, Tuple
  from absl import app
  from absl import flags
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import model_eval_lib
  from tensorflow_model_analysis.eval_saved_model import util
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
  from tfx_bsl.tfxio import tf_example_record
  from google.protobuf import text_format
  from tensorflow.core.example import example_pb2
label_desc: Use image node_id 6 for calling a global function with example usage: load_cis(output_dir) and returns: trials_cis,  population_values