class_docstr: Core plugin for TensorBoard.
  
  This plugin serves runs, configuration data, and static assets. This
  plugin should always be present in a TensorBoard WSGI application.
class_docstr_tok: ["Core","plugin","for","TensorBoard",".","This","plugin","serves","runs",",","configuration","data",",","and","static","assets",".","This","plugin","should","always","be","present","in","a","TensorBoard","WSGI","application","."]
docstr: Serve a JSON runs of an experiment, specified with query param
  `experiment`, with their nested data, tag, populated.
  
  Runs returned are ordered by started time (aka first event time)
  with empty times sorted last, and then ties are broken by
  sorting on the run name. Tags are sorted by its name,
  displayName, and lastly, inserted time.
code: def _serve_experiment_runs(self, request):
      """Serve a JSON runs of an experiment, specified with query param
      `experiment`, with their nested data, tag, populated.
  
      Runs returned are ordered by started time (aka first event time)
      with empty times sorted last, and then ties are broken by
      sorting on the run name. Tags are sorted by its name,
      displayName, and lastly, inserted time.
      """
      results = []
      return http_util.Respond(request, results, "application/json")
  
imports: import argparse
  import functools
  import gzip
  import io
  import mimetypes
  import posixpath
  import zipfile
  from werkzeug import utils
  from werkzeug import wrappers
  from tensorboard import plugin_util
  from tensorboard.backend import http_util
  from tensorboard.plugins import base_plugin
  from tensorboard.util import grpc_util
  from tensorboard.util import tb_logging
  from tensorboard import version
label_desc: Use image node_id 16 for calling the CorePlugin obj's underlying member method code with example usage: obj._serve_experiment_runs(request) and returns: http_util