class_docstr: Class designed to confirm whether something is **language** based on how many words of **language** appears
  Call confirmLanguage(text, language)
  * text: the text you want to confirm
  * language: the language you want to confirm
  
  Find out what language it is by using chisquared.py, the highest chisquared score is the language
  languageThreshold = 45
  if a string is 45% **language** words, then it's confirmed to be english
class_docstr_tok: ["Class","designed","to","confirm","whether","something","is","*","*","language","*","*","based","on","how","many","words","of","*","*","language","*","*","appears","Call","confirmLanguage","(","text",",","language",")","*","text",":","the","text","you","want","to","confirm","*","language",":","the","language","you","want","to","confirm","Find","out","what","language","it","is","by","using","chisquared.py",",","the","highest","chisquared","score","is","the","language","languageThreshold","=","45","if","a","string","is","45","%","*","*","language","*","*","words",",","then","it","'s","confirmed","to","be","english"]
code: def getExpectedRuntime(self, text: T) -> float:
      # TODO: actually work this out
      # TODO its 0.2 seconds on average
      return 1e-4
  
file_path: Ciphey/ciphey/basemods/Checkers/brandon.py
imports: import sys
  from math import ceil
  from typing import Dict, Optional
  import logging
  from rich.logging import RichHandler
  from ciphey.iface import Checker, Config, ParamSpec, T, registry
label_desc: Use image node_id 1 for calling the Brandon obj's underlying member method code with example usage: obj.getExpectedRuntime(text) and returns: int