code: def test_dimensions_metric_add_dimensions_and_yaml_pass(self):
      metrics_cache_obj = MetricsCacheYamlImpl(
          os.path.join(dir_path, "metrics.yaml")
      )
      metrics_cache_obj.add_metric_to_cache(
          "TempName",
          "count",
          dimension_names=["ModelName"],
          metric_type=MetricTypes.COUNTER,
      )
      metrics_cache_obj.initialize_cache()
      assert metrics_cache_obj.cache_keys() == [
          "counter:TempName",
          "counter:InferenceTimeInMS",
          "counter:NumberOfMetrics",
          "gauge:GaugeModelMetricNameExample",
          "histogram:HistogramModelMetricNameExample",
      ]
  
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 TestManualAddMetricDimensions obj's underlying member method code with example usage: obj.test_dimensions_metric_add_dimensions_and_yaml_pass() without return types