code: def logged_metrics():
      return [
          ScalarMetricLogEntry(
              "training.loss", 10, datetime.datetime.utcnow(), 1
          ),
          ScalarMetricLogEntry(
              "training.loss", 20, datetime.datetime.utcnow(), 2
          ),
          ScalarMetricLogEntry(
              "training.loss", 30, datetime.datetime.utcnow(), 3
          ),
          ScalarMetricLogEntry(
              "training.accuracy", 10, datetime.datetime.utcnow(), 100
          ),
          ScalarMetricLogEntry(
              "training.accuracy", 20, datetime.datetime.utcnow(), 200
          ),
          ScalarMetricLogEntry(
              "training.accuracy", 30, datetime.datetime.utcnow(), 300
          ),
          ScalarMetricLogEntry(
              "training.loss", 40, datetime.datetime.utcnow(), 10
          ),
          ScalarMetricLogEntry(
              "training.loss", 50, datetime.datetime.utcnow(), 20
          ),
          ScalarMetricLogEntry(
              "training.loss", 60, datetime.datetime.utcnow(), 30
          ),
      ]
  
imports: import datetime
  import os
  import sys
  from glob import glob
  import mock
  import pytest
  from sacred.metrics_logger import ScalarMetricLogEntry, linearize_metrics
  import gridfs
  from mongomock.gridfs import enable_gridfs_integration
  from .failing_mongo_mock import FailingMongoClient
  from sacred.dependencies import get_digest
  from sacred.observers.mongo import MongoObserver, force_bson_encodeable
label_desc: Use image node_id 23 for calling a global function with example usage: logged_metrics() and returns: list