code: def _recommend_command(
      command, description, indent=2, create_link=False
  ):
      """Generate a RichTextLines object that describes a recommended command.
  
      Args:
        command: (str) The command to recommend.
        description: (str) A description of what the command does.
        indent: (int) How many spaces to indent in the beginning.
        create_link: (bool) Whether a command link is to be applied to the command
          string.
  
      Returns:
        (RichTextLines) Formatted text (with font attributes) for recommending the
          command.
      """
  
      indent_str = " " * indent
  
      if create_link:
          font_attr = [
              debugger_cli_common.MenuItem("", command),
              "bold",
          ]
      else:
          font_attr = "bold"
  
      lines = [
          RL(indent_str) + RL(command, font_attr) + ":",
          indent_str + "  " + description,
      ]
  
      return debugger_cli_common.rich_text_lines_from_rich_line_list(
          lines
      )
  
imports: import math
  import numpy
  from tensorflow.python.debug.cli import command_parser
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.debug.cli import tensor_format
  from tensorflow.python.debug.lib import common
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 7 for calling a global function with example usage: _recommend_command(command, description, indent, create_link) and returns: debugger_cli_common