然而,用文本约束细化类模型是耗费时间并且易于出错的任务。
However, refining class models with textual constraints is a time-consuming and error-prone task.
为复杂网络拓扑结构配置和维护这些固定配置规则会是困难、耗时、且易于出错的。
Configuring and maintaining these fixed configuration rules for complex network topologies can be difficult, time-consuming, and error-prone.
这样的初始化是乏味且易于出错的,因为容易遗忘初始化式或提供不适当的初始化式。
Such initialization is tedious and error-prone because it is easy to forget an initializer or to supply an inappropriate initializer.
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