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.
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code: def _print_feed_handler(self, args, screen_info=None):
      np_printoptions = cli_shared.numpy_printoptions_from_screen_info(
          screen_info
      )
  
      if not self._feed_dict:
          return cli_shared.error(
              "The feed_dict of the current run is None or empty."
          )
  
      parsed = self._argparsers["print_feed"].parse_args(args)
      (
          tensor_name,
          tensor_slicing,
      ) = command_parser.parse_tensor_name_with_slicing(
          parsed.tensor_name
      )
  
      feed_key = None
      feed_value = None
      for key in self._feed_dict:
          key_name = common.get_graph_element_name(key)
          if key_name == tensor_name:
              feed_key = key_name
              feed_value = self._feed_dict[key]
              break
  
      if feed_key is None:
          return cli_shared.error(
              "The feed_dict of the current run does not contain the key %s"
              % tensor_name
          )
      else:
          return cli_shared.format_tensor(
              feed_value,
              feed_key + " (feed)",
              np_printoptions,
              print_all=parsed.print_all,
              tensor_slicing=tensor_slicing,
              highlight_options=cli_shared.parse_ranges_highlight(
                  parsed.ranges
              ),
              include_numeric_summary=parsed.numeric_summary,
          )
  
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 15 for calling the LocalCLIDebugWrapperSession obj's underlying member method code with example usage: obj._print_feed_handler(args, screen_info) and returns: cli_shared, cli_shared, cli_shared