code: def __post_init__(self):
      super().__post_init__()
  
      self._visibility["max_length_answer"] = -1
  
imports: import os
  from dataclasses import dataclass, field
  from typing import Any, Dict, List, Tuple
  import llm_studio.src.datasets.text_causal_classification_ds
  import llm_studio.src.plots.text_causal_classification_modeling_plots
  from llm_studio.python_configs.base import DefaultConfig, DefaultConfigProblemBase
  from llm_studio.python_configs.text_causal_language_modeling_config import ConfigNLPAugmentation, ConfigNLPCausalLMArchitecture, ConfigNLPCausalLMDataset, ConfigNLPCausalLMEnvironment, ConfigNLPCausalLMLogging, ConfigNLPCausalLMTokenizer, ConfigNLPCausalLMTraining
  from llm_studio.src import possible_values
  from llm_studio.src.losses import text_causal_classification_modeling_losses
  from llm_studio.src.metrics import text_causal_classification_modeling_metrics
  from llm_studio.src.models import text_causal_classification_modeling_model
  from llm_studio.src.utils.modeling_utils import generate_experiment_name
label_desc: Use image node_id 1 for calling the ConfigNLPCausalClassificationTokenizer obj's underlying member method code with example usage: obj.__post_init__() without return types