code: def get_qa_language(supertask: str, task):
      """Identify language from QA task"""
      if supertask == "mlqa":
          assert task.context_language == task.question_language
          lang = task.context_language
      elif supertask in ["xquad", "tydiqa"]:
          lang = task.language
      else:
          raise KeyError(supertask)
      return lang
  
imports: import os
  import numpy
  import torch
  import zconf
  import jiant.utils.python.io
  from jiant.utils.display import maybe_tqdm
  import jiant.shared.initialization
  import jiant.shared.model_resolution
  import jiant.proj.main.components.container_setup
  import jiant.proj.main.runner
  from jiant.proj.main.runscript import setup_runner
  import jiant.tasks.lib.templates.squad_style.core
  import jiant.tasks.lib.bucc2018
  import jiant.tasks
  import jiant.proj.main.components.evaluate
  from jiant.proj.main.modeling.primary import wrap_jiant_forward
label_desc: Use image node_id 6 for calling a global function with example usage: get_qa_language(supertask, task) and returns: lang