class_docstr: Text Plugin for TensorBoard.
code: def text_impl(self, ctx, run, tag, experiment, enable_markdown):
      all_text = self._data_provider.read_tensors(
          ctx,
          experiment_id=experiment,
          plugin_name=metadata.PLUGIN_NAME,
          downsample=self._downsample_to,
          run_tag_filter=provider.RunTagFilter(runs=[run], tags=[tag]),
      )
      text = all_text.get(run, {}).get(tag, None)
      if text is None:
          return []
      return [
          process_event(d.wall_time, d.step, d.numpy, enable_markdown)
          for d in text
      ]
  
imports: import textwrap
  import numpy
  from werkzeug import wrappers
  from tensorboard import plugin_util
  from tensorboard.backend import http_util
  from tensorboard.data import provider
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.text import metadata
label_desc: Use image node_id 6 for calling the TextPlugin obj's underlying member method code with example usage: obj.text_impl(ctx, run, tag, experiment, enable_markdown) and returns: unknown, list