code: def test_tags_conflicting_description(self):
      self._write_scalar("run1", "scalars/tagA", None)
      self._write_scalar("run2", "scalars/tagA", "tagA is hot")
      self._write_scalar("run3", "scalars/tagA", "tagA is cold")
      self._write_scalar("run4", "scalars/tagA", "tagA is cold")
      self._write_histogram("run1", "histograms/tagA", None)
      self._write_histogram("run2", "histograms/tagA", "tagA is hot")
      self._write_histogram("run3", "histograms/tagA", "tagA is cold")
      self._write_histogram("run4", "histograms/tagA", "tagA is cold")
      self._multiplexer.Reload()
  
      response = self._plugin._tags_impl(
          context.RequestContext(), "eid"
      )
  
      expected_composite_description = (
          "<h1>Multiple descriptions</h1>\n"
          "<h2>For runs: run3, run4</h2>\n"
          "<p>tagA is cold</p>\n"
          "<h2>For run: run2</h2>\n"
          "<p>tagA is hot</p>"
      )
      self.assertEqual(
          {"scalars/tagA": expected_composite_description},
          response["scalars"]["tagDescriptions"],
      )
      self.assertEqual(
          {"histograms/tagA": expected_composite_description},
          response["histograms"]["tagDescriptions"],
      )
  
imports: import argparse
  import collections.abc
  import os.path
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorboard import context
  from tensorboard.backend.event_processing import data_provider
  from tensorboard.backend.event_processing import plugin_event_multiplexer
  from tensorboard.data import provider
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.image import metadata
  from tensorboard.plugins.metrics import metrics_plugin
label_desc: Use image node_id 13 for calling the MetricsPluginTest obj's underlying member method code with example usage: obj.test_tags_conflicting_description() without return types