code: def validate_test_components(
      test_case, task, model, tokenizer, processor
  ):
      # TODO: Move this to tiny model creation script
      # head-specific (within a model type) necessary changes to the config
      # 1. for `BlenderbotForCausalLM`
      if model.__class__.__name__ == "BlenderbotForCausalLM":
          model.config.encoder_no_repeat_ngram_size = 0
  
      # TODO: Change the tiny model creation script: don't create models with problematic tokenizers
      # Avoid `IndexError` in embedding layers
      CONFIG_WITHOUT_VOCAB_SIZE = ["CanineConfig"]
      if tokenizer is not None:
          config_vocab_size = getattr(model.config, "vocab_size", None)
          # For CLIP-like models
          if config_vocab_size is None:
              if hasattr(model.config, "text_config"):
                  config_vocab_size = getattr(
                      model.config.text_config, "vocab_size", None
                  )
              elif hasattr(model.config, "text_encoder"):
                  config_vocab_size = getattr(
                      model.config.text_encoder, "vocab_size", None
                  )
  
          if (
              config_vocab_size is None
              and model.config.__class__.__name__
              not in CONFIG_WITHOUT_VOCAB_SIZE
          ):
              raise ValueError(
                  "Could not determine `vocab_size` from model configuration while `tokenizer` is not `None`."
              )
  
imports: import copy
  import json
  import os
  import random
  import unittest
  from pathlib import Path
  from transformers.testing_utils import is_pipeline_test, require_decord, require_pytesseract, require_timm, require_torch, require_torch_or_tf, require_vision
  from transformers.utils import direct_transformers_import, logging
  from .pipelines.test_pipelines_audio_classification import AudioClassificationPipelineTests
  from .pipelines.test_pipelines_automatic_speech_recognition import AutomaticSpeechRecognitionPipelineTests
  from .pipelines.test_pipelines_conversational import ConversationalPipelineTests
  from .pipelines.test_pipelines_depth_estimation import DepthEstimationPipelineTests
  from .pipelines.test_pipelines_document_question_answering import DocumentQuestionAnsweringPipelineTests
  from .pipelines.test_pipelines_feature_extraction import FeatureExtractionPipelineTests
  from .pipelines.test_pipelines_fill_mask import FillMaskPipelineTests
  from .pipelines.test_pipelines_image_classification import ImageClassificationPipelineTests
  from .pipelines.test_pipelines_image_segmentation import ImageSegmentationPipelineTests
  from .pipelines.test_pipelines_image_to_image import ImageToImagePipelineTests
  from .pipelines.test_pipelines_image_to_text import ImageToTextPipelineTests
  from .pipelines.test_pipelines_mask_generation import MaskGenerationPipelineTests
  from .pipelines.test_pipelines_object_detection import ObjectDetectionPipelineTests
  from .pipelines.test_pipelines_question_answering import QAPipelineTests
  from .pipelines.test_pipelines_summarization import SummarizationPipelineTests
  from .pipelines.test_pipelines_table_question_answering import TQAPipelineTests
  from .pipelines.test_pipelines_text2text_generation import Text2TextGenerationPipelineTests
  from .pipelines.test_pipelines_text_classification import TextClassificationPipelineTests
  from .pipelines.test_pipelines_text_generation import TextGenerationPipelineTests
  from .pipelines.test_pipelines_text_to_audio import TextToAudioPipelineTests
  from .pipelines.test_pipelines_token_classification import TokenClassificationPipelineTests
  from .pipelines.test_pipelines_translation import TranslationPipelineTests
  from .pipelines.test_pipelines_video_classification import VideoClassificationPipelineTests
  from .pipelines.test_pipelines_visual_question_answering import VisualQuestionAnsweringPipelineTests
  from .pipelines.test_pipelines_zero_shot import ZeroShotClassificationPipelineTests
  from .pipelines.test_pipelines_zero_shot_audio_classification import ZeroShotAudioClassificationPipelineTests
  from .pipelines.test_pipelines_zero_shot_image_classification import ZeroShotImageClassificationPipelineTests
  from .pipelines.test_pipelines_zero_shot_object_detection import ZeroShotObjectDetectionPipelineTests
label_desc: Use image node_id 1 for calling a global function with example usage: validate_test_components(test_case, task, model, tokenizer, processor) without return types