code: def test_ssept(model_parameters):
      params = model_parameters
  
      model = SSEPT(
          item_num=params["itemnum"],
          user_num=params["usernum"],
          seq_max_len=params["maxlen"],
          num_blocks=params["num_blocks"],
          user_embedding_dim=params["hidden_units"],
          item_embedding_dim=params["hidden_units"],
          attention_dim=params["hidden_units"],
          attention_num_heads=params["num_heads"],
          dropout_rate=params["dropout_rate"],
          conv_dims=[200, 200],
          l2_reg=params["l2_emb"],
          num_neg_test=params["num_neg_test"],
      )
  
      assert model.encoder is not None
      assert model.item_embedding_layer is not None
      assert model.user_embedding_layer is not None
  
file_path: recommenders/tests/unit/recommenders/models/test_sasrec_model.py
imports: import os
  import pytest
  from collections import defaultdict
label_desc: Use image node_id 6 for calling a global function with example usage: test_ssept(model_parameters) without return types