class_docstr: Search Query teacher.
  
  Given an input context, predict the title of the document from which the "gold"
  knowledge is derived.
class_docstr_tok: ["Search","Query","teacher",".","Given","an","input","context",",","predict","the","title","of","the","document","from","which","the","``","gold","''","knowledge","is","derived","."]
code: def __init__(self, opt, shared=None):
      self._rem_possible_title = opt["remove_possible_title"]
      self._random_trim_min_len = opt["random_trim_min_length"]
      super().__init__(opt, shared=shared)
  
imports: from abc import ABC, abstractmethod
  import os
  from typing import Tuple, List, Optional, Any, Dict
  import random
  from parlai.core.message import Message
  from parlai.core.metrics import F1Metric, BleuMetric, RougeMetric, AverageMetric, ExactMatchMetric, normalize_answer
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.teachers import ChunkTeacher, ChunkOutput
  import parlai.tasks.wizard_of_internet.constants
  from parlai.utils.conversations import Conversations
  from parlai.utils.data import DatatypeHelper
  import parlai.utils.logging
  from parlai.tasks.wizard_of_wikipedia.agents import TOKEN_KNOWLEDGE, TOKEN_END_KNOWLEDGE
  from projects.seeker.utils import extract_entities, remove_possible_title_from_text
label_desc: Use image node_id 2 to create a new SearchQueryTeacher object from inherited base classes: KnowledgeTeacher with example: obj = SearchQueryTeacher(opt, shared)