class_docstr: (Experimental) A MathChat agent that can handle math problems.
docstr: Generate an auto reply.
docstr_tok: ["Generate","an","auto","reply","."]
code: def _generate_math_reply(
      self,
      messages: Optional[List[Dict]] = None,
      sender: Optional[Agent] = None,
      config: Optional[Any] = None,
  ):
      """Generate an auto reply."""
      if messages is None:
          messages = self._oai_messages[sender]
      message = messages[-1]
      message = message.get("content", "")
      code_blocks = extract_code(message)
  
      if len(code_blocks) == 1 and code_blocks[0][0] == UNKNOWN:
          # no code block is found, lang should be `UNKNOWN``
          return True, self._default_auto_reply
      is_success, all_success = True, True
      reply = ""
      for code_block in code_blocks:
          lang, code = code_block
          if not lang:
              lang = infer_lang(code)
          if lang == "python":
              output, is_success = self.execute_one_python_code(code)
          elif lang == "wolfram":
              output, is_success = self.execute_one_wolfram_query(code)
          else:
              output = "Error: Unknown language."
              is_success = False
  
          reply += output + "\n"
          if not is_success:
              all_success = False
              self._valid_q_count -= 1  # count invalid queries
  
      reply = reply.strip()
  
      if self.last_reply == reply:
          return (
              True,
              reply
              + "\nYour query or result is same from the last, please try a new approach.",
          )
      self.last_reply = reply
  
      if not all_success:
          self._accum_invalid_q_per_step += 1
          if (
              self._accum_invalid_q_per_step
              > self._max_invalid_q_per_step
          ):
              self._accum_invalid_q_per_step = 0
              reply = "Please revisit the problem statement and your reasoning. If you think this step is correct, solve it yourself and continue the next step. Otherwise, correct this step."
  
      return True, reply
  
imports: import re
  import os
  from pydantic import BaseModel, Extra, root_validator
  from typing import Any, Callable, Dict, List, Optional, Union, Tuple
  from time import sleep
  from autogen._pydantic import PYDANTIC_V1
  from autogen.agentchat import Agent, UserProxyAgent
  from autogen.code_utils import UNKNOWN, extract_code, execute_code, infer_lang
  from autogen.math_utils import get_answer
label_desc: Use image node_id 6 for calling the MathUserProxyAgent obj's underlying member method code with example usage: obj._generate_math_reply(messages, sender, config) and returns: True,  reply, True,  self, True,  unknown