code: def __init__(
      self,
      top_k,
      infer_task: BasicInferTask,
      function,
      max_samples=0,
      simulation_size=5,
      use_variance=False,
  ):
      self.top_k = top_k
      self.function = function
      super().__init__(
          infer_task, max_samples, simulation_size, use_variance
      )
  
file_path: MONAILabel/sample-apps/endoscopy/lib/scoring/cvat.py
imports: import logging
  import random
  from typing import Any, Dict
  from monailabel.datastore.cvat import CVATDatastore
  from monailabel.interfaces.datastore import Datastore
  from monailabel.interfaces.tasks.scoring import ScoringMethod
  from monailabel.tasks.infer.basic_infer import BasicInferTask
  from monailabel.tasks.scoring.epistemic_v2 import EpistemicScoring
label_desc: Use image node_id 1 to create a new CVATEpistemicScoring object from inherited base classes: EpistemicScoring with example: obj = CVATEpistemicScoring(top_k, infer_task, function, max_samples, simulation_size, use_variance)