code: def test_dialogue_sgd_data_processor_convert_camelcase_to_lower():
      label = "none"
      gt_converted_label = "none"
  
      assert (
          gt_converted_label
          == DialogueSGDDataProcessor.convert_camelcase_to_lower(label)
      )
  
      label = "ReserveRestaurant"
      gt_converted_label = "reserve restaurant"
  
      assert (
          gt_converted_label
          == DialogueSGDDataProcessor.convert_camelcase_to_lower(label)
      )
  
      label = "Alarm"
      gt_converted_label = "alarm"
  
      assert (
          gt_converted_label
          == DialogueSGDDataProcessor.convert_camelcase_to_lower(label)
      )
  
imports: import pytest
  import torch
  from nemo.collections.nlp.data.dialogue.data_processor.assistant_data_processor import DialogueAssistantDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.data_processor import DialogueDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.sgd_data_processor import DialogueSGDDataProcessor
  from nemo.collections.nlp.data.dialogue.dataset.dialogue_gpt_classification_dataset import DialogueGPTClassificationDataset
  from nemo.collections.nlp.data.dialogue.dataset.dialogue_s2s_generation_dataset import DialogueS2SGenerationDataset
  from nemo.collections.nlp.data.dialogue.dataset.dialogue_sgd_bert_dataset import DialogueSGDBERTDataset
  from nemo.collections.nlp.metrics.dialogue_metrics import DialogueClassificationMetrics, DialogueGenerationMetrics
  from nemo.collections.nlp.models.dialogue.dialogue_nearest_neighbour_model import DialogueNearestNeighbourModel
label_desc: Use image node_id 8 for calling a global function with example usage: test_dialogue_sgd_data_processor_convert_camelcase_to_lower() without return types