code: def test_add_metric_to_cache_duplicate_passing(self, caplog):
      caplog.set_level("INFO")
      metrics_cache_obj = MetricsCacheYamlImpl(
          os.path.join(dir_path, "metrics.yaml")
      )
      metrics_cache_obj.add_metric_to_cache(
          metric_name="test_add_metric_to_cache_duplicate_passing",
          unit="ms",
          dimension_names=["ModelName"],
          metric_type=MetricTypes.GAUGE,
      )
      assert MetricTypes.GAUGE in metrics_cache_obj.cache.keys()
      assert (
          "test_add_metric_to_cache_duplicate_passing"
          in metrics_cache_obj.cache[MetricTypes.GAUGE].keys()
      )
      metric = metrics_cache_obj.get_metric(
          "test_add_metric_to_cache_duplicate_passing",
          MetricTypes.GAUGE,
      )
      metric.add_or_update(123.5, ["dummy_model"])
      assert "123.5" in caplog.text
      metrics_cache_obj.add_metric_to_cache(
          metric_name="test_add_metric_to_cache_duplicate_passing",
          unit="ms",
          dimension_names=["ModelName"],
          metric_type=MetricTypes.GAUGE,
      )
      metric = metrics_cache_obj.get_metric(
          "test_add_metric_to_cache_duplicate_passing",
          MetricTypes.GAUGE,
      )
      metric.add_or_update(42.5, ["dummy_model"])
      assert "42.5" in caplog.text
  
imports: import os
  import uuid
  import pytest
  import ts.metrics.metric_cache_errors
  from ts.metrics.caching_metric import CachingMetric
  from ts.metrics.dimension import Dimension
  from ts.metrics.metric_cache_yaml_impl import MetricsCacheYamlImpl
  from ts.metrics.metric_type_enum import MetricTypes
label_desc: Use image node_id 2 for calling the TestAddMetrics obj's underlying member method code with example usage: obj.test_add_metric_to_cache_duplicate_passing(caplog) without return types