code: def _add_examples(
      global_metrics_evaluator: DeformableDetrGlobalEvaluator,
      predictions: Sequence[ArrayDict],
      labels: Sequence[ArrayDict],
  ):
      for pred, label in zip(predictions, labels):
          global_metrics_evaluator.add_example(
              prediction=pred, target=label
          )
  
file_path: scenic/scenic/projects/baselines/deformable_detr/evaluate.py
imports: from concurrent import futures
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple
  from absl import logging
  from flax import jax_utils
  import flax.linen
  import jax
  import jax.numpy
  import numpy
  from scenic.dataset_lib.dataset_utils import Dataset
  from scenic.projects.baselines.deformable_detr.coco_eval import DeformableDetrGlobalEvaluator
  from scenic.projects.baselines.deformable_detr.coco_eval import prepare_coco_eval_dicts
  from scenic.projects.baselines.detr import train_utils
  from scenic.train_lib import train_utils
label_desc: Use image node_id 3 for calling a global function with example usage: _add_examples(global_metrics_evaluator, predictions, labels) without return types