code: def is_pipeline_test_to_skip(
      self,
      pipeline_test_casse_name,
      config_class,
      model_architecture,
      tokenizer_name,
      processor_name,
  ):
      if (
          pipeline_test_casse_name
          == "ZeroShotClassificationPipelineTests"
      ):
          # Get `tokenizer does not have a padding token` error for both fast/slow tokenizers.
          # `CTRLConfig` was never used in pipeline tests, either because of a missing checkpoint or because a tiny
          # config could not be created.
          return True
  
      return False
  
imports: from __future__ import annotations
  import unittest
  from transformers import CTRLConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the TFCTRLModelTest obj's underlying member method code with example usage: obj.is_pipeline_test_to_skip(pipeline_test_casse_name, config_class, model_architecture, tokenizer_name, processor_name) and returns: False, True