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
  from sacred.observers.queue import QueueObserver
  import mock
  import pytest
  import sys
  from sacred.metrics_logger import ScalarMetricLogEntry, linearize_metrics
  import gridfs
  from mongomock.gridfs import enable_gridfs_integration
  import pymongo.errors
  from sacred.dependencies import get_digest
  from sacred.observers.mongo import QueuedMongoObserver, MongoObserver, QueueCompatibleMongoObserver
  from .failing_mongo_mock import ReconnectingMongoClient
label_desc: Use image node_id 12 for calling a global function with example usage: logged_metrics() and returns: list