class_docstr: Concrete subclass of BaseDebugWrapperSession implementing a local CLI.
  
  This class has all the methods that a `session.Session` object has, in order
  to support debugging with minimal code changes. Invoking its `run()` method
  will launch the command-line interface (CLI) of tfdbg.
docstr: Update the internal state with regard to run() call history.
  
  Args:
    run_call_count: (int) Number of run() calls that have occurred.
    fetches: a node/tensor or a list of node/tensor that are the fetches of
      the run() call. This is the same as the fetches argument to the run()
      call.
    feed_dict: None of a dict. This is the feed_dict argument to the run()
      call.
    is_callable_runner: (bool) whether a runner returned by
      Session.make_callable is being run.
docstr_tok: ["Update","the","internal","state","with","regard","to","run","(",")","call","history",".","Args",":","run_call_count",":","(","int",")","Number","of","run","(",")","calls","that","have","occurred",".","fetches",":","a","node\/tensor","or","a","list","of","node\/tensor","that","are","the","fetches","of","the","run","(",")","call",".","This","is","the","same","as","the","fetches","argument","to","the","run","(",")","call",".","feed_dict",":","None","of","a","dict",".","This","is","the","feed_dict","argument","to","the","run","(",")","call",".","is_callable_runner",":","(","bool",")","whether","a","runner","returned","by","Session.make_callable","is","being","run","."]
code: def _update_run_calls_state(
      self, run_call_count, fetches, feed_dict, is_callable_runner=False
  ):
      """Update the internal state with regard to run() call history.
  
      Args:
        run_call_count: (int) Number of run() calls that have occurred.
        fetches: a node/tensor or a list of node/tensor that are the fetches of
          the run() call. This is the same as the fetches argument to the run()
          call.
        feed_dict: None of a dict. This is the feed_dict argument to the run()
          call.
        is_callable_runner: (bool) whether a runner returned by
          Session.make_callable is being run.
      """
  
      self._run_call_count = run_call_count
      self._feed_dict = feed_dict
      self._run_description = cli_shared.get_run_short_description(
          run_call_count,
          fetches,
          feed_dict,
          is_callable_runner=is_callable_runner,
      )
      self._run_through_times -= 1
  
      self._run_info = cli_shared.get_run_start_intro(
          run_call_count,
          fetches,
          feed_dict,
          self._tensor_filters,
          is_callable_runner=is_callable_runner,
      )
  
imports: import argparse
  import os
  import sys
  import tempfile
  from tensorflow.python.debug.cli import analyzer_cli
  from tensorflow.python.debug.cli import cli_config
  from tensorflow.python.debug.cli import cli_shared
  from tensorflow.python.debug.cli import command_parser
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.debug.cli import profile_analyzer_cli
  from tensorflow.python.debug.cli import ui_factory
  from tensorflow.python.debug.lib import common
  from tensorflow.python.debug.lib import debug_data
  from tensorflow.python.debug.wrappers import framework
  from tensorflow.python.lib.io import file_io
label_desc: Use image node_id 19 for calling the LocalCLIDebugWrapperSession obj's underlying member method code with example usage: obj._update_run_calls_state(run_call_count, fetches, feed_dict, is_callable_runner) without return types