code: def test_model_fit_eval_predict(model, data):
      x, y = data
      batch_size = len(x["id_left"])
      assert model.fit(x, y, batch_size=batch_size, verbose=0)
      assert model.evaluate(x, y, batch_size=batch_size)
      assert model.predict(x, batch_size=batch_size) is not None
  
file_path: MatchZoo/tests/unit_test/models/test_models.py
imports: import pytest
  import copy
  from pathlib import Path
  import shutil
  import matchzoo
  from keras.backend import clear_session
label_desc: Use image node_id 11 for calling a global function with example usage: test_model_fit_eval_predict(model, data) without return types