code: def get_config(self):
      return PatchTSTConfig(
          prediction_length=self.prediction_length,
          patch_length=self.patch_length,
          patch_stride=self.patch_stride,
          num_input_channels=self.num_input_channels,
          d_model=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          ffn_dim=self.intermediate_size,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          context_length=self.context_length,
          activation_function=self.hidden_act,
          seed=self.seed,
          num_targets=self.num_targets,
          mask_type=self.mask_type,
          random_mask_ratio=self.random_mask_ratio,
      )
  
imports: import inspect
  import random
  import tempfile
  import unittest
  from huggingface_hub import hf_hub_download
  from transformers import is_torch_available
  from transformers.models.auto import get_values
  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 PatchTSTModelTester obj's underlying member method code with example usage: obj.get_config() and returns: PatchTSTConfig