class_docstr: A class used for accessing tfdbg v2 DebugEvent data on local filesystem.
  
  This class is a short-term hack, mirroring the EventMultiplexer for the main
  TensorBoard plugins (e.g., scalar, histogram and graphs.) As such, it only
  implements the methods relevant to the Debugger V2 pluggin.
  
  TODO(cais): Integrate it with EventMultiplexer and use the integrated class
  from MultiplexerDataProvider for a single path of accessing debugger and
  non-debugger data.
docstr: If a reader exists and has started period updating, unblock the update.
  
  The updates are performed periodically with a sleep interval between
  successive calls to the reader's update() method. Calling this method
  interrupts the sleep immediately if one is ongoing.
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code: def _reloadReader(self):
      """If a reader exists and has started period updating, unblock the update.
  
      The updates are performed periodically with a sleep interval between
      successive calls to the reader's update() method. Calling this method
      interrupts the sleep immediately if one is ongoing.
      """
      if self._reload_needed_event:
          self._reload_needed_event.set()
  
imports: import threading
  from tensorboard import errors
label_desc: Use image node_id 3 for calling the DebuggerV2EventMultiplexer obj's underlying member method code with example usage: obj._reloadReader() without return types