class_docstr: Analyzer for debug data from dump directories.
class_docstr_tok: ["Analyzer","for","debug","data","from","dump","directories","."]
code: def evaluate_expression(self, args, screen_info=None):
      parsed = self._arg_parsers["eval"].parse_args(args)
  
      eval_res = self._evaluator.evaluate(parsed.expression)
  
      np_printoptions = cli_shared.numpy_printoptions_from_screen_info(
          screen_info
      )
      return cli_shared.format_tensor(
          eval_res,
          "from eval of expression '%s'" % parsed.expression,
          np_printoptions,
          print_all=parsed.print_all,
          include_numeric_summary=True,
          write_path=parsed.write_path,
      )
  
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 16 for calling the DebugAnalyzer obj's underlying member method code with example usage: obj.evaluate_expression(args, screen_info) and returns: cli_shared