code: def get_A_dose_theta(self, idx=None, total_layers=1):
      return self._get_typed_dose_theta(idx, total_layers, "A")
  
imports: import torch
  import json, os, msgpack
  from transformers.utils import logging
  import types
  import inspect
  import copy
  from typing import Optional, List, Callable
  from drugs.inject_mixin import InjectDrugsMixin, MODEL_NAME_MAPPING
  from transformers import GenerationMixin
  from transformers.cache_utils import DynamicCache
  from transformers.generation.utils import LogitsProcessorList, StoppingCriteriaList
  from transformers import AutoTokenizer, TextStreamer, GenerationConfig
  import numpy
  import torch
  import torch.nn.functional
  import hashlib
label_desc: Use image node_id 20 for calling the DRUGS obj's underlying member method code with example usage: obj.get_A_dose_theta(idx, total_layers) and returns: self