code: def get_tokenizer(self, mname):
      if mname not in self.tokenizers_cache:
          self.tokenizers_cache[mname] = FSMTTokenizer.from_pretrained(
              mname
          )
      return self.tokenizers_cache[mname]
  
imports: import tempfile
  import unittest
  import timeout_decorator
  from parameterized import parameterized
  from transformers import FSMTConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, 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 3 for calling the FSMTModelIntegrationTests obj's underlying member method code with example usage: obj.get_tokenizer(mname) and returns: self