docstr: Create a config for the requested adapter.
  
  Args:
      adapter: name of the adapter
  
  Returns:
      A config object for the requested adapter. If any keyword args are passed, they will be used to initialize
      the config.
docstr_tok: ["Create","a","config","for","the","requested","adapter",".","Args",":","adapter",":","name","of","the","adapter","Returns",":","A","config","object","for","the","requested","adapter",".","If","any","keyword","args","are","passed",",","they","will","be","used","to","initialize","the","config","."]
code: def create_encoder_config_with_adapter(
      self, encoder_config: LLMEncoderConfig, adapter: str, **kwargs
  ) -> BaseAdapterConfig:
      """Create a config for the requested adapter.
  
      Args:
          adapter: name of the adapter
  
      Returns:
          A config object for the requested adapter. If any keyword args are passed, they will be used to initialize
          the config.
      """
      new_config = copy.deepcopy(encoder_config)
      new_config.adapter = ADAPTER_CONFIG_MAP[adapter](**kwargs)
      return new_config
  
imports: import copy
  import pytest
  import torch
  import torch.nn
  from transformers import AutoConfig, PreTrainedModel
  from ludwig.encoders.text_encoders import LLMEncoder
  from ludwig.schema.encoders.text_encoders import LLMEncoderConfig
  from ludwig.schema.llms.peft import BaseAdapterConfig, LoraConfig
  from ludwig.utils.llm_utils import get_context_len
label_desc: Use image node_id 1 for calling the TestLLMEncoder obj's underlying member method code with example usage: obj.create_encoder_config_with_adapter(encoder_config, adapter) and returns: new_config