class_docstr: Analyzer for debug data from dump directories.
class_docstr_tok: ["Analyzer","for","debug","data","from","dump","directories","."]
docstr: Command handler for inputs.
  
  Show inputs to a given node.
  
  Args:
    args: Command-line arguments, excluding the command prefix, as a list of
      str.
    screen_info: Optional dict input containing screen information such as
      cols.
  
  Returns:
    Output text lines as a RichTextLines object.
docstr_tok: ["Command","handler","for","inputs",".","Show","inputs","to","a","given","node",".","Args",":","args",":","Command-line","arguments",",","excluding","the","command","prefix",",","as","a","list","of","str",".","screen_info",":","Optional","dict","input","containing","screen","information","such","as","cols",".","Returns",":","Output","text","lines","as","a","RichTextLines","object","."]
code: def list_inputs(self, args, screen_info=None):
      """Command handler for inputs.
  
      Show inputs to a given node.
  
      Args:
        args: Command-line arguments, excluding the command prefix, as a list of
          str.
        screen_info: Optional dict input containing screen information such as
          cols.
  
      Returns:
        Output text lines as a RichTextLines object.
      """
  
      # Screen info not currently used by this handler. Include this line to
      # mute pylint.
      _ = screen_info
      # TODO(cais): Use screen info to format the output lines more prettily,
      # e.g., hanging indent of long node names.
  
      parsed = self._arg_parsers["list_inputs"].parse_args(args)
  
      output = self._list_inputs_or_outputs(
          parsed.recursive,
          parsed.node_name,
          parsed.depth,
          parsed.control,
          parsed.op_type,
          do_outputs=False,
      )
  
      node_name = debug_graphs.get_node_name(parsed.node_name)
      _add_main_menu(
          output, node_name=node_name, enable_list_inputs=False
      )
  
      return output
  
imports: import argparse
  import copy
  import re
  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 evaluator
  from tensorflow.python.debug.cli import ui_factory
  from tensorflow.python.debug.lib import debug_graphs
  from tensorflow.python.debug.lib import source_utils
label_desc: Use image node_id 13 for calling the DebugAnalyzer obj's underlying member method code with example usage: obj.list_inputs(args, screen_info) and returns: output