请求包中的消息图松散类型化。
任何信息类型化的主题都属于多种类型。
正被删除的类型化表不能拥有任何子类型。
The typed table that is being dropped cannot have any subtables.
现在你将能够编写查询在类型化数据集上。
You'll now be able to write queries that work over typed DataSets. For instance, you can now write
访问器api提供对状态文档模型类型化的访问。
The Accessor API provides typed access to the state document model.
首先，动态类型化的基本性质没有改变。
访问权限作为类型化（typed）对象
可以用该模型生成任何潜在类型化的语言。
You could use this model to generate any latently typed language.
定义类型化数据集的架构存储在XSD文件中。
The schema that defines the typed DataSet is stored in the XSD file.
这为连接点上下文提供了静态类型化的好处。
This gives the benefit of static typing for join point context.
在您通过泛型使用类型化列表时，也有可能做到这点。
The same is possible when you use typed lists, via generics. Listing 12 shows a few simple parameterized collections.
此方法返回强类型化的Catalog响应模板实例。
The method returns a strongly typed catalog response template instance. In addition, the method now takes in two request parameters.
Darwin信息类型化体系结构中的层次。
也可以完全省略掉领域，生成只有核心元素的类型化主题。
Domains can even be elided entirely, to produce typed topics that have only the core elements.
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。
The strongly typed DataSet offers advantages over the untyped DataSet in terms of speed and easy maintainability.
什么是类型化？
当用作表的类型时，该表就被认为是一个类型化表(清单3)。
When used as the type for a table, the table is known as a typed table (Listing 3).
类型化表是一个使用用户定义的结构化类型定义的表。
A typed table is a table that is defined with a user-defined structured type.
图2表明了状态容器实际是非类型化文档模型的包装。
Figure 2 shows that the state holder is a wrapper enclosing the un-typed document model.
测试基本上是脚本编程，许多最好的脚本语言都是动态类型化的。
Testing is basically scripting, and many of the best scripting languages are dynamically typed.
这样，学科中使用的所有信息类型化主题就都能使用整个词汇表。
This makes the entire vocabulary available throughout all the infotyped topics used within a discipline.
XMLSchema还增加了丰富的数据类型化支持。
下一节模式验证中讨论doctype语句和数据类型化。
I discuss DOCTYPE statements and data typing in the next section, Schema for validation.
而且对类型化数据集来说，手动修改生成的类文件通常不是一个好主意。
And it is generally not a good idea to manually modify the generated class file for a typed 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。
There are differences in maintenance and performance when referring to columns in an untyped DataSet.
不管他们是否表现流行文化较龌龊的一面，还是越来越类型化。
No matter that they may be from the seamier end of pop culture, or the more obvious and clumping of genres.
在任何情况下，类型化数据集必须与架构保持同步，这一点是值得注意的。
In any event, it's worth noting that the typed DataSet needs to stay in sync with the schema.
这样的类型化对象干净地封装了创建和维护一个集合并遍历这一集合的功能。
Typed objects such as these cleanly encapsulate the responsibility of creating and maintaining a collection and iterating over that collection.
数组被类型化，所以您需要很清楚地知道数组中每个项目的变量类型是什么。
Arrays are typed, and so you know exactly what variable type is going to be needed for each item in the array.
并不需要对其进行强类型化，因为它仅用于告知服务实现响应中所需的元素。
This does not need to be strongly typed as it only serves to inform the service implementation about what elements are needed in the response.
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