code: def test_train_mam_adapter(self):
      self.run_train_test(MAMConfig(), ["adapters.{name}."])
  
imports: import copy
  import tempfile
  import torch
  import adapters
  from adapters import ADAPTER_CONFIG_MAP, ADAPTER_MODEL_MAPPING, AutoAdapterModel, BatchSplit, DoubleSeqBnConfig, DoubleSeqBnInvConfig, Fuse, InvertibleAdaptersMixin, InvertibleAdaptersWrapperMixin, MAMConfig, SeqBnConfig, SeqBnInvConfig
  from adapters.heads.language_modeling import CausalLMHead
  from transformers import MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, CLIPConfig
  from transformers.testing_utils import require_torch, torch_device
  from .base import AdapterMethodBaseTestMixin, create_twin_models
label_desc: Use image node_id 21 for calling the BottleneckAdapterTestMixin obj's underlying member method code with example usage: obj.test_train_mam_adapter() without return types