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.
code: def _run_info_handler(self, args, screen_info=None):
      output = debugger_cli_common.RichTextLines([])
  
      if self._run_call_count == 1:
          output.extend(cli_shared.get_tfdbg_logo())
          output.extend(
              debugger_cli_common.get_tensorflow_version_lines()
          )
      output.extend(self._run_info)
  
      if (
          not self._is_run_start
          and debugger_cli_common.MAIN_MENU_KEY in output.annotations
      ):
          menu = output.annotations[debugger_cli_common.MAIN_MENU_KEY]
          if "list_tensors" not in menu.captions():
              menu.insert(
                  0,
                  debugger_cli_common.MenuItem(
                      "list_tensors", "list_tensors"
                  ),
              )
  
      return output
  
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 14 for calling the LocalCLIDebugWrapperSession obj's underlying member method code with example usage: obj._run_info_handler(args, screen_info) and returns: output