untyped
英
美
网络 无类型; 非强类型; 无类型语言; 非类型化; 类型化的
双语例句
- You can use user-defined properties as a simple, unstructured and untyped extension mechanism.
可以使用用户定义的属性来作为简单的、非结构化和无类型的扩展机制。 - As opposed to corresponding untyped super-interface
与对应的无类型超接口相反 - Message Broker may have stronger support for untyped message processing, for example, while Process Server can use J2EE security, since it runs in the J2EE container.
例如，MessageBroker对无类型的消息处理可能具有更强的支持，而ProcessServer可以使用J2EE安全，因为它运行在J2EE容器中。 - This is not a big deal because when you use an untyped DataSet you would still likely have to change some client code if the underlying schema changes.
这并不要紧，因为使用非类型化数据集时，如果基础架构发生改变，您仍然可能必须更改一些客户端代码。 - There are differences in maintenance and performance when referring to columns in an untyped DataSet.
当引用非类型化数据集中的列时，维护和性能方面会有所不同。 - Choose a typed or untyped dataset to add to the designer.
选择要添加到设计器中的类型化或非类型化数据集。 - And since Duby could easily treat untyped or dynamic-typed expressions as requiring dynamic invocation, there's no reason Surinx shouldn't just be assimilated as a feature of Duby.
既然Duby可以方便地将不明类型或动态类型的表达式看做是需要动态调用的，那么没理由不把Surinx吸收为Duby的特性之一。 - This code block exemplifies the fact that the code using the untyped DataSet is not as elegant as the code that was written using the strongly typed DataSet.
此代码块举例说明了这样的事实，使用非类型化数据集编写的代码没有使用强类型数据集编写的代码优雅。 - This problem occurs frequently with untyped data.
此问题经常出现在非类型化数据上。 - There are many benefits of this technique, including the ability to use your Java IDE's code completion and refactoring capabilities even as you're working with untyped JavaScript objects.
该技术有很多优势，如利用JavaIDE的代码完成和重构能力，甚至当你在编写无类型的JavaScript对象时也可以充分利用这一优势。 - You can bind to either typed or untyped datasets.
可以绑定到类型化或非类型化数据集。 - This is because untyped datasets do not provide schema, so the wizard does not have enough information to create the data source.
这是因为非类型化数据集不提供架构，所以该向导没有足够的信息来创建数据源。 - The strongly typed DataSet offers advantages over the untyped DataSet in terms of speed and easy maintainability.
强类型数据集在速度和易于维护性方面优于非类型化数据集。