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: Instantiates CorePlugin.
  
  Args:
    context: A base_plugin.TBContext instance.
    include_debug_info: If true, `/data/environment` will include some
      basic information like the TensorBoard server version. Disabled by
      default to prevent surprising information leaks in custom builds of
      TensorBoard.
code: def __init__(self, context, include_debug_info=None):
      """Instantiates CorePlugin.
  
      Args:
        context: A base_plugin.TBContext instance.
        include_debug_info: If true, `/data/environment` will include some
          basic information like the TensorBoard server version. Disabled by
          default to prevent surprising information leaks in custom builds of
          TensorBoard.
      """
      self._flags = context.flags
      logdir_spec = context.flags.logdir_spec if context.flags else ""
      self._logdir = context.logdir or logdir_spec
      self._window_title = context.window_title
      self._path_prefix = (
          context.flags.path_prefix if context.flags else None
      )
      self._assets_zip_provider = context.assets_zip_provider
      self._data_provider = context.data_provider
      self._include_debug_info = bool(include_debug_info)
  
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 1 to create a new CorePlugin object from inherited base classes: base_plugin with example: obj = CorePlugin(context, include_debug_info)