code: def get_config(self):
      return InformerConfig(
          prediction_length=self.prediction_length,
          d_model=self.hidden_size,
          encoder_layers=self.num_hidden_layers,
          decoder_layers=self.num_hidden_layers,
          encoder_attention_heads=self.num_attention_heads,
          decoder_attention_heads=self.num_attention_heads,
          encoder_ffn_dim=self.intermediate_size,
          decoder_ffn_dim=self.intermediate_size,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          context_length=self.context_length,
          lags_sequence=self.lags_sequence,
          num_time_features=self.num_time_features,
          num_static_categorical_features=1,
          num_static_real_features=1,
          cardinality=[self.cardinality],
          embedding_dimension=[self.embedding_dimension],
          sampling_factor=self.sampling_factor,
          distil=self.distil,
      )
  
imports: import inspect
  import tempfile
  import unittest
  import numpy
  from huggingface_hub import hf_hub_download
  from transformers import is_torch_available
  from transformers.testing_utils import is_flaky, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the InformerModelTester obj's underlying member method code with example usage: obj.get_config() and returns: InformerConfig