code: def test_add_error_dimensions_filled(self, caplog):
      metrics_cache_obj = MetricsCacheYamlImpl(
          os.path.join(dir_path, "metrics.yaml")
      )
      caplog.set_level("INFO")
      dimensions = [
          Dimension("ModelName", "model_name_a"),
          Dimension("Level", "level_a"),
      ]
      metrics_cache_obj.add_error(
          "LoopCountError", 2, dimensions=dimensions
      )
      metric = metrics_cache_obj.get_metric(
          "LoopCountError", MetricTypes.COUNTER
      )
      metric.add_or_update(4, ["model_name_b", "level_b"])
      assert (
          "LoopCountError.unit:2|#ModelName:model_name_a,Level:level_a|"
          in caplog.text
      )
      assert (
          "LoopCountError.unit:4|#ModelName:model_name_b,Level:level_b|"
          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 3 for calling the TestIncrementDecrementMetrics obj's underlying member method code with example usage: obj.test_add_error_dimensions_filled(caplog) without return types