code: def test_dataclass_instantiation(self, asr_model):
      model_cfg = configs.EncDecCTCModelConfig()
  
      # Update mandatory values
      vocabulary = asr_model.decoder.vocabulary
      model_cfg.model.labels = vocabulary
  
      # Update encoder
      model_cfg.model.encoder.activation = "relu"
      model_cfg.model.encoder.feat_in = 64
      model_cfg.model.encoder.jasper = [
          nemo_asr.modules.conv_asr.JasperEncoderConfig(
              filters=1024,
              repeat=1,
              kernel=[1],
              stride=[1],
              dilation=[1],
              dropout=0.0,
              residual=False,
              se=True,
              se_context_size=-1,
          )
      ]
  
      # Update decoder
      model_cfg.model.decoder.feat_in = 1024
      model_cfg.model.decoder.num_classes = 28
      model_cfg.model.decoder.vocabulary = vocabulary
  
      # Construct the model
      asr_cfg = OmegaConf.create({"model": asr_model.cfg})
      model_cfg_v1 = update_model_config(model_cfg, asr_cfg)
      new_model = EncDecCTCModel(cfg=model_cfg_v1.model)
  
      assert new_model.num_weights == asr_model.num_weights
      # trainer and exp manager should be there
      # assert 'trainer' in model_cfg_v1
      # assert 'exp_manager' in model_cfg_v1
      # datasets and optim/sched should not be there after ModelPT.update_model_dataclass()
      assert "train_ds" not in model_cfg_v1.model
      assert "validation_ds" not in model_cfg_v1.model
      assert "test_ds" not in model_cfg_v1.model
      assert "optim" not in model_cfg_v1.model
  
      # Construct the model, without dropping additional keys
      asr_cfg = OmegaConf.create({"model": asr_model.cfg})
      model_cfg_v2 = update_model_config(
          model_cfg, asr_cfg, drop_missing_subconfigs=False
      )
  
      # Assert all components are in config
      # assert 'trainer' in model_cfg_v2
      # assert 'exp_manager' in model_cfg_v2
      assert "train_ds" in model_cfg_v2.model
      assert "validation_ds" in model_cfg_v2.model
      assert "test_ds" in model_cfg_v2.model
      assert "optim" in model_cfg_v2.model
  
      # Remove extra components (optim and sched can be kept without issue)
      with open_dict(model_cfg_v2.model):
          model_cfg_v2.model.pop("train_ds")
          model_cfg_v2.model.pop("validation_ds")
          model_cfg_v2.model.pop("test_ds")
  
      new_model = EncDecCTCModel(cfg=model_cfg_v2.model)
  
      assert new_model.num_weights == asr_model.num_weights
  
imports: import copy
  import pytest
  import torch
  from omegaconf import DictConfig, OmegaConf, open_dict
  import nemo.collections.asr
  from nemo.collections.asr.data import audio_to_text
  from nemo.collections.asr.models import EncDecCTCModel, configs
  from nemo.collections.asr.parts.submodules.ctc_decoding import CTCDecoding, CTCDecodingConfig
  from nemo.utils.config_utils import assert_dataclass_signature_match, update_model_config
label_desc: Use image node_id 7 for calling the TestEncDecCTCModel obj's underlying member method code with example usage: obj.test_dataclass_instantiation(asr_model) without return types