code: def test_yaml_to_cache_empty_dims(self):
      metrics_cache_obj = MetricsCacheYamlImpl(
          os.path.join(dir_path, "metrics_empty_dims.yml")
      )
      metrics_cache_obj.initialize_cache()
      assert metrics_cache_obj.cache_keys() == [
          "counter:InferenceTimeInMS",
          "counter:NumberOfMetrics",
          "gauge:GaugeModelMetricNameExample",
          "histogram:HistogramModelMetricNameExample",
          "histogram:AnotherHistogram",
      ]
      for metric_type, metric in metrics_cache_obj.cache.items():
          for k, v in metric.items():
              if k in [
                  "HistogramModelMetricNameExample",
                  "AnotherHistogram",
              ]:
                  assert isinstance(v, CachingMetric)
                  assert v.dimension_names == []
  
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 TestYamlCacheInit obj's underlying member method code with example usage: obj.test_yaml_to_cache_empty_dims() without return types