docstr: Following page 18 at https://arxiv.org/pdf/2206.14858.pdf with some
  modifications.
docstr_tok: ["Following","page","18","at","https",":","\/\/arxiv.org\/pdf\/2206.14858.pdf","with","some","modifications","."]
code: def _latex_conversion(self, final_answer: str) -> str:
      """
      Following page 18 at https://arxiv.org/pdf/2206.14858.pdf with some
      modifications.
      """
      substitutions = [
          ("an ", ""),  # ('a ', ''),
          (".$", "$"),
          ("\\$", ""),
          (r"\ ", ""),
          # (' ', ''),
          ("  ", " "),
          ("mbox", "text"),
          (",\\text{and}", ","),
          ("\\text{and}", ","),
          ("\\text{m}", "\\text{}"),
          ("\\cdot", "*"),
          ("\\left", ""),
          ("\\right", ""),
      ]
      removed_expressions = [
          # 'square', 'ways', 'integers', 'dollars', 'mph', 'inches', 'ft',
          # 'hours', 'km', 'units',
          "\\ldots",
          # 'sue', 'points', 'feet',
          # 'minutes', 'digits', 'cents', 'degrees', 'cm', 'gm', 'pounds',
          # 'meters', 'meals', 'edges', 'students', 'childrentickets', 'multiples',
          "\\text{s}",
          "\\text{.}",
          "\\text{\ns}",
          "\\text{}^2",
          "\\text{}^3",
          "\\text{\n}",
          "\\text{}",
          r"\mathrm{th}",
          r"^\circ",
          r"^{\circ}",
          r"\;",
          r",\!",
          "{,}",
          '"',
          "\\dots",
      ]
  
      # final_answer = final_answer.split('=')[-1]
      for before, after in substitutions:
          final_answer = final_answer.replace(before, after)
      for expr in removed_expressions:
          final_answer = final_answer.replace(expr, "")
  
      # Extract answer that is in LaTeX math, is bold,
      # is surrounded by a box, etc.
      # final_answer = re.sub(r'(.*?)(\$)(.*?)(\$)(.*)', '$\\3$', final_answer)
      final_answer = re.sub(r"(\\text\{)(.*?)(\})", "\\2", final_answer)
      final_answer = re.sub(
          r"(\\textbf\{)(.*?)(\})", "\\2", final_answer
      )
      final_answer = re.sub(
          r"(\\overline\{)(.*?)(\})", "\\2", final_answer
      )
      final_answer = re.sub(r"(\\boxed\{)(.*)(\})", "\\2", final_answer)
  
      # Normalize shorthand TeX:
      # \fracab -> \frac{a}{b}
      # \frac{abc}{bef} -> \frac{abc}{bef}
      # \fracabc -> \frac{a}{b}c
      # \sqrta -> \sqrt{a}
      # \sqrtab -> sqrt{a}b
      final_answer = re.sub(
          r"(frac)([^{])(.)", "frac{\\2}{\\3}", final_answer
      )
      final_answer = re.sub(r"(sqrt)([^{])", "sqrt{\\2}", final_answer)
      final_answer = final_answer.replace("$", "")
      # replace \frac{a}{b}
      final_answer = re.sub(
          r"(\\frac){(-?[0-9]*[a-x]*)}{(-?[0-9]*[a-x]*)}",
          "\\2/\\3",
          final_answer,
      )
      # replace \frac{a}b
      final_answer = re.sub(
          r"(\\frac){(-?[0-9a-x^()]*)}", "\\2/", final_answer
      )
  
      # Normalize 100,000 -> 100000
      if final_answer.replace(",", "").isdigit():
          final_answer = final_answer.replace(",", "")
  
      return final_answer
  
imports: import glob
  import json
  import os
  import random
  import re
  from parlai.tasks.math_dataset.build import build
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.utils.io import PathManager
  from typing import List, Optional
  from parlai.tasks.reasoning.agents import MWPStepsReasoningTeacher
label_desc: Use image node_id 6 for calling the MathDatasetStepByStepReasoningTeacher obj's underlying member method code with example usage: obj._latex_conversion(final_answer) and returns: final_answer