如果新外观主题中存在MANIFEST文件，删了它。它包含你复制而来的外观主题数据，在升级时会造成混乱。
Delete the MANIFEST file in your new theme if it exists. It contains data from the theme you copied and can cause confusion when you upgrade.
现在，再添加两个测试，一个测试检查有效的主题数据，另一个测试检查在指定不正确的TAG长度时是否显示期望的错误消息。
Now, let's add a second test to assert valid subject data and a third test to see whether the expected error message is encountered when we specify an incorrect TAG length.
关于这个主题有许多观点；然而数据对潜在的健康风险的转基因食品是少之又少从它直至目前为止这使得不切实际得出结论。
There are many opinions on this subject; however, data on the potential health risks of GMO foods are scanty, which has made it impractical to draw conclusions from it up till now.
通过这样，可以确保主题上的数据保密性，不过必须在中央预约系统上实现某种逻辑来加密消息。
In this way, data confidentiality can be ensured on the topic, even if some logic must be implemented to encrypt messages on the central reservation system.
本文通过向您介绍数据挖掘这个主题的背景以及这个领域的目标力求回答“什么是数据挖掘”这个问题。
This article strives to answer the question "what is data mining?" by giving you a background on the subject and introducing the goals of the field.
然后探讨其它主题 -从用户界面设计到储存数据和使用许可资源建立（如所需要那样）。
Then explore other topics —from designing a user interface and setting up resources to storing data and using permissions —as needed.
由于本文只是一篇介绍性文章并且示例数据较小，因此对该主题不予讨论。
Because this is an introductory article and the sample data is small, this article will not be covering that topic.
BPEL使用XML模式规范来定义变量的数据类型—这个主题超出了本文的讨论范围。
BPEL USES the XML Schema specification to define variables' data types - a topic that's beyond this article's scope.
逻辑数据模型包含关于业务主题领域的更多详细信息。
The logical data model contains much more detailed information about the business subject areas.
现在根据上面设定的规则检验主题输入数据。
Subject input data will now be validated according to the rules set above.
主题为内容提供标题、元数据和结构。
The topic provides the title, metadata, and structure for the content.
在XML新闻组、邮件列表和网站的讨论论坛中(在参考资料中可以找到这些内容的链接)，最常见的一个主题就是数据绑定。
In XML newsgroups, mailing lists, and discussion forums of the Web site (you can find links for many of these in Resources), one of the most common themes is data binding.
在这个窗口里，主题菜单的所有文本都以单元的数据属性值出现。
In this window, the entire text of the Subjects menu is shown as the value of the data property for the cell.
最后，节点对象(包含所有数据和主题化的内容)被传递给主题化系统，从而作为主题化的节点显示。
Finally, the node object, with all its data and themed content, is passed to the Theming system for rendering as a themed node.
加密可以保证有关某个主题的数据机密性，原因是只有拥有正确私钥的服务提供者才能正确执行解密，因此也能读懂该数据。
The encryption guarantees the data confidentiality on the topic, because only the service provider owning the right private key can perform decryption correctly and, thus, understand the data.
在文档级别上，数据值可以是主题、文档主体以及许多其他值（例如创建者或撰写日期）。
At the document level, the data values can be the subject, the body of the document, and a number of other values, such as the author or the date composed.
在整个会议上，改变数据结构的主题都非常引人注目，很多不同的公司都提出了自己的观点，包括很多数据用户和厂商。
The theme of changing data architectures was noticeable throughout the conference, and from the perspective of many different companies, including large scale users of data as well as vendors.
通过回顾业务流程和系统文档、功能或技术规范、数据字典、主题专家或其他数据知识源，可以进一步丰富内容。
It may be enriched by review of business process and system documentation, functional or technical specifications, data dictionaries, subject matter experts, or other sources of data knowledge.
通常，会将个人数据来源映射到MQTT主题，这意味着每个传感器的信息来源都有自己的主题。
Typically, an individual source of data is mapped to an MQTT topic, which usually means that each source of sensor information will have its own topic.
最后，我简述了用户定义数据类型的主题，它是一个需要我们仔细学习的高级主题。
Finally, I briefly covered the topic of user-defined data types, which is an advanced topic that needs detailed study.
这样内容和布局很好地分离，你可以很轻松地创建新主题或者完全不同地呈现数据。
That way you get a nice separation between content and layout and you can easily create new skins or visualize data differently.
还学习了如何从数据库中检索数据，并介绍了一些高级主题，包括调用存储过程和操作大数据对象(LOB和BLOB)。
You also learned how to retrieve data from a database, along with more advanced topics including calling stored procedures and manipulating Large data Objects (LOBs and BLOBs).
销售事实查询主题的事实数据一旦加入报表，连接关系就会对销售事实表而不是伪事实起作用，就会返回需要的数据。
As soon as fact data from the sales fact query subject is added to the report, the join relationship goes through the sales fact table rather than the fake fact, and the data returns as expected.
这与对比，在这里，我们从一个主题谁在难过条件的数据。
And that contrasts with, here, we have data from a subject who's in the sad condition.
例如，使用DCS传输dynacache和安全性主题缓存中的数据。
For example, data in DynaCache and the security subject cache are transmitted using DCS.
下面几节详细讨论几个主题，比如创建数据bean、通过实现RPC代理访问RESTfulWeb服务和回调以及构建GWT web界面。
The following sections cover the details about specific topics such as creating data beans, implementing the RPC proxy to access RESTful Web services and callbacks, and building the GWT Web interface.
以使用Inbox视图为例，该视图使您能够根据发件人、主题、数据、大小等进行排序。
Again, using the Inbox view example, this view allows you to sort by sender, subject, date, size, and more.
在PresentationView名称空间中创建一个新的查询主题“OutlierClusters”，并选择从一个数据源对该查询主题建模。
Create a new query subject "OutlierClusters" in the PresentationView namespace and choose to model the query subject from a data source.
它使用节点对象中存储的任何评论数据对内容片段进行主题化，然后将结果存储回节点对象中。
It USES any comment data stored in the node object to theme the content fragments required before storing these back in the node object.
它还提供了一种系统实现主题的元数据注释，因此用户可以便捷地搜索、过滤和处理内容。
It also provides a system for metadata annotations of topics so that users can easily search, filter, and process them.
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