In addition to the requirement type, a hierarchy — or more generally, a set of valid relationships between requirement types — must be defined.
除了需求类型以外，层次——或更一般的说法，需求类型之间的一组有效的关系——必须要定义。
Similarly any new product types you added in the product type hierarchy can be added into the model with a related set of services if required.
类似地，如果必要的话，添加到产品类型层次结构的任何新产品类型都可以添加到一个具有相关服务集合的模型中。
If the product type hierarchy is relatively static, including the elements of the type, then consider hardening the type.
如果产品类型层次结构是比较静态的，包括类型元素，那么考虑固定这些类型。
Mapping a product in a product type hierarchy into a category establishes the semantic notion of product of type x.
把产品映射到产品类型层次结构中的类别，就可以形成某类型的产品 这样的语义概念。
This product type hierarchy is defined in a metadata structure and has an associated set of database tables and business services.
这种产品类型层次结构使用元数据结构进行定义，并具有一组相关数据库表和业务服务。
You can create products once you have defined the product type hierarchy and elements for each product type.
定义了产品类型层次结构及每个产品类型的元素后，就可以创建产品了。
After you have defined the product type hierarchy, you can then define the data you wish to capture for each type in the hierarchy.
定义了产品类型层次结构后，可以继续定义希望为层次结构中的每个类型捕捉的数据。
The existing product tables representing the product type hierarchy provided out the box can be extended with additional elements.
要表示现成的产品类型层次结构的现有产品表，可以使用附加的元素进行扩展。
The metadata helps to indicate the context of the transaction in the entire transaction hierarchy and the type of transaction being invoked.
元数据能够帮助表示事务在整个事务层次中的上下文和被调用事务的类型。
Each provider is displayed as a tree that contains a hierarchy of topology objects, grouped by type.
每个提供者都显示为树状结构，其中包含拓扑对象的层次结构，按照类型进行分组。
You can get the parent type from the resource hierarchy in the Admin Console.
可以从管理控制台的资源层次结构中获得父类型。
They then traverse a substitution chain of element declarations or a type hierarchy to determine whether the element declaration satisfies the substitution or type derivation requirements.
然后遍历元素声明的代替链或类型层次结构，以决定元素声明是否满足代替或类型衍生要求。
A product type hierarchy is a strict tree, whereas a category hierarchy can be a directed acyclic graph.
产品类型层次结构是一个严格的树，而类别层次结构则是一个有方向的非循环图表。
The product type hierarchy is intended to be relatively static.
产品类型层次结构是相对静态的。
When creating a new type in the hierarchy you have the choice of declaring the type as being either a hard type or a soft type.
在层次结构中创建新类型时，可以选择将类型声明为硬类型或软类型。
We'll discuss the difference between reference and value types in the section called "the Scala type Hierarchy".
我们会在“scala类型结构”章节讨论引用类型和值类型的区别。
Interface XMLEvent represents the root of this type hierarchy; all event types must extend this interface.
接口XMLEvent表示类型层次结构的根，所有类型的事件必须扩展该接口。
The third article in this series, " Exploring the Python type hierarchy, Introducing Strings," introduces the Python string, which is also an immutable sequence, but only for character data.
本系列的第三篇文章探索Python类型的层次结构 —— 使用字符串介绍了 Pythonstring，这也是一个不可变的序列，但仅针对字符数据。
We'll also add another attribute to Person, a role field that points to an instance from a type hierarchy.
我们会给Person加一个属性-角色，用来指定对应的实例是类型层次结构中的哪一种。
You can get a list of all attribute validators by clicking on an attribute validator in the source code, then open the type hierarchy explorer (F4) and select the DeployAttributeValidator class.
您可以点击源代码中的属性确认器，来得到所有属性确认器的列表，然后打开类型层级结构浏览器(F4)并选择deployattributevalidator类。
Python 3 now supports a type hierarchy of ABCs that represent numeric classes.
Python3现支持能代表数值类的ABC的类型层次结构。
As shown in Figure 3, we'll name this vocabulary IBC, enable it for the Announcement node type, enable a Single hierarchy, and allow Multiple select of terms for a given node.
如图3所示，我们将这个词汇表命名为IBC，为An nouncement节点类型启用它，启用Single层次结构，并允许给定的节点进行词汇的Multipleselect。
"Discover Python, Part 2" discusses the Python type hierarchy and provides a discussion of the Python tuple.
“探索python，第2部分”讨论了python类型的层次结构以及Python tuple。
The product type hierarchy defines the types of products you wish to manage. MDM Server provides the product type hierarchy, as shown in Figure 1, out of the box.
产品类型层次结构定义了您希望对之进行管理的产品的类型。
It should not be confused with the product type hierarchy. Here are some points to differentiate the two.
不应当将其与产品类型层次结构混淆。
We discuss the difference between Any and AnyRef when we discuss the Scala type hierarchy in the section called "the Scala type hierarchy".
我们会在“scala类型层级结构”章节中讨论Any和AnyRef的区别。
The fourth article in this series, " Discover Python, Part 4: Explore the Python type hierarchy," introduced the Python list.
探索Python类型的层次结构”介绍了 Pythonlist。
The Any type is the root of the Scala type hierarchy (see the section called "the Scala type hierarchy" in Chapter 7, the Scala Object System for more details).
Any类型是scala类型结构的根类型(参见《第7章- Scala对象系统的更多细节》中的“scala类型结构”章节)。
The model USES a type hierarchy to leverage the similarities between items in an order, while still allowing for differences.
该模型使用类型继承来利用定制中项目间的相似性，当然照样允许有差别。
If I'm writing client code and need to use an object, that object's class exists in some type hierarchy.
如果我在编写客户机代码并调用了一个对象，这个对象必定存在于某种层次之中。
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