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请为pygad.kerasga.predict(reuse_model=...)新增pytest测试（放tests/）：构建小Keras模型+固定solution+固定输入，分别在reuse_model=None/False/True/传入clone实例下预测，断言输出numpy.allclose一致；断言reuse_model=True多次调用缓存大小不增长；调用clear_model_cache()后缓存清空并可再次预测；再建第二个不同模型，确认不会共用缓存。必要时使用matplotlib无关、TensorFlow最小依赖写法，保证可在CI无GUI运行。