code: def run_large_test(self, unmasker):
      outputs = unmasker("My name is <mask>")
      self.assertEqual(
          nested_simplify(outputs),
          [
              {
                  "sequence": "My name is John",
                  "score": 0.008,
                  "token": 610,
                  "token_str": " John",
              },
              {
                  "sequence": "My name is Chris",
                  "score": 0.007,
                  "token": 1573,
                  "token_str": " Chris",
              },
          ],
      )
      outputs = unmasker("The largest city in France is <mask>")
      self.assertEqual(
          nested_simplify(outputs),
          [
              {
                  "sequence": "The largest city in France is Paris",
                  "score": 0.251,
                  "token": 2201,
                  "token_str": " Paris",
              },
              {
                  "sequence": "The largest city in France is Lyon",
                  "score": 0.214,
                  "token": 12790,
                  "token_str": " Lyon",
              },
          ],
      )
  
      outputs = unmasker(
          "My name is <mask>",
          targets=[" Patrick", " Clara", " Teven"],
          top_k=3,
      )
      self.assertEqual(
          nested_simplify(outputs),
          [
              {
                  "sequence": "My name is Patrick",
                  "score": 0.005,
                  "token": 3499,
                  "token_str": " Patrick",
              },
              {
                  "sequence": "My name is Clara",
                  "score": 0.000,
                  "token": 13606,
                  "token_str": " Clara",
              },
              {
                  "sequence": "My name is Te",
                  "score": 0.000,
                  "token": 2941,
                  "token_str": " Te",
              },
          ],
      )
  
      dummy_str = (
          "Lorem ipsum dolor sit amet, consectetur adipiscing elit,"
          * 100
      )
      outputs = unmasker(
          "My name is <mask>" + dummy_str,
          tokenizer_kwargs={"truncation": True},
      )
      simplified = nested_simplify(outputs, decimals=4)
      self.assertEqual(
          [{"sequence": x["sequence"][:100]} for x in simplified],
          [
              {"sequence": f"My name is,{dummy_str}"[:100]},
              {"sequence": f"My name is:,{dummy_str}"[:100]},
          ],
      )
      self.assertEqual(
          [{k: x[k] for k in x if k != "sequence"} for x in simplified],
          [
              {"score": 0.2819, "token": 6, "token_str": ","},
              {"score": 0.0954, "token": 46686, "token_str": ":,"},
          ],
      )
  
imports: import gc
  import unittest
  from transformers import MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, FillMaskPipeline, pipeline
  from transformers.pipelines import PipelineException
  from transformers.testing_utils import backend_empty_cache, is_pipeline_test, is_torch_available, nested_simplify, require_tf, require_torch, require_torch_accelerator, slow, torch_device
  from .test_pipelines_common import ANY
label_desc: Use image node_id 7 for calling the FillMaskPipelineTests obj's underlying member method code with example usage: obj.run_large_test(unmasker) without return types