code: def test_90_generation_from_short_input(self):
      model_inputs = self.tokenizer(["sam"], return_tensors="pt").to(
          torch_device
      )
  
      generated_utterances = self.model.generate(**model_inputs)
  
      clean_txt = self.tokenizer.decode(
          generated_utterances[0],
          skip_special_tokens=True,
          clean_up_tokenization_spaces=True,
      )
      assert clean_txt in (
          "have you ever been to a sam club? it's a great club in the south.",
          "have you ever heard of sam harris? he's an american singer, songwriter, and actor.",
      )
  
imports: import tempfile
  import unittest
  from transformers import BlenderbotSmallConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the Blenderbot90MIntegrationTests obj's underlying member method code with example usage: obj.test_90_generation_from_short_input() without return types