code: def get_config(self):
      return GPTSanJapaneseConfig(
          vocab_size=self.vocab_size,
          num_contexts=self.seq_length,
          d_model=self.hidden_size,
          d_ff=self.d_ff,
          d_ext=self.d_ext,
          d_spout=self.d_spout,
          num_switch_layers=self.num_hidden_layers
          - self.num_ext_layers,
          num_ext_layers=self.num_ext_layers,
          num_heads=self.num_attention_heads,
          num_experts=self.num_experts,
          expert_capacity=self.expert_capacity,
          dropout_rate=self.dropout_rate,
          layer_norm_epsilon=self.layer_norm_epsilon,
          router_jitter_noise=self.router_jitter_noise,
      )
  
imports: import unittest
  import numpy
  from transformers import GPTSanJapaneseConfig, GPTSanJapaneseForConditionalGeneration, GPTSanJapaneseModel, GPTSanJapaneseTokenizer, is_torch_available
  from transformers.generation import GenerationConfig
  from transformers.testing_utils import require_torch, slow, tooslow, torch_device
  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 5 for calling the GPTSanJapaneseTester obj's underlying member method code with example usage: obj.get_config() and returns: GPTSanJapaneseConfig