code: def _addExampleCountMetricCallback(  # pylint: disable=invalid-name
      features_dict, predictions_dict, labels_dict
  ):
      del features_dict
      del labels_dict
      metric_ops = {}
      value_op, update_op = metric_fns.total(
          tf.shape(input=predictions_dict["logits"])[0]
      )
      metric_ops["added_example_count"] = (value_op, update_op)
      return metric_ops
  
imports: import os
  from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.addons.fairness.metrics import lift
  from tensorflow_model_analysis.api import model_eval_lib
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.eval_saved_model.example_trainers import dnn_classifier
  from tensorflow_model_analysis.eval_saved_model.example_trainers import fixed_prediction_estimator_extra_fields
  from tensorflow_model_analysis.eval_saved_model.example_trainers import linear_classifier
  from tensorflow_model_analysis.eval_saved_model.example_trainers import multi_head
  from tensorflow_model_analysis.evaluators import metrics_plots_and_validations_evaluator
  from tensorflow_model_analysis.extractors import example_weights_extractor
  from tensorflow_model_analysis.extractors import features_extractor
  from tensorflow_model_analysis.extractors import labels_extractor
  from tensorflow_model_analysis.extractors import legacy_predict_extractor
  from tensorflow_model_analysis.extractors import materialized_predictions_extractor
  from tensorflow_model_analysis.extractors import predictions_extractor
  from tensorflow_model_analysis.extractors import slice_key_extractor
  from tensorflow_model_analysis.extractors import unbatch_extractor
  from tensorflow_model_analysis.metrics import attributions
  from tensorflow_model_analysis.metrics import binary_confusion_matrices
  from tensorflow_model_analysis.metrics import calibration
  from tensorflow_model_analysis.metrics import calibration_plot
  from tensorflow_model_analysis.metrics import confusion_matrix_plot
  from tensorflow_model_analysis.metrics import metric_specs
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import ndcg
  from tensorflow_model_analysis.post_export_metrics import metrics
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import validation_result_pb2
  from tfx_bsl.tfxio import raw_tf_record
  from tfx_bsl.tfxio import tensor_adapter
  from tfx_bsl.tfxio import test_util
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: _addExampleCountMetricCallback(features_dict, predictions_dict, labels_dict) and returns: metric_ops