RXP是快速的。
In contrast, RXP builds the data structure right in the parser.
相反，RXP就在解析器中建立数据结构。
RXP works by building a compact in-memory tree structure of the XML document being parsed.
RXP通过为所要解析的XML文档构建一个紧凑的内存树结构而工作。
On top of RXP itself, the Language Technology Group has built lt XML, which contains a variety of higher-level tools and APIs.
在rxp之上，语言技术组(Language Technology Group)又构建了LTXML，它包含多种高层工具和API。
You can look through the source code for the file rxp.c to see the way that RXP parsing generates a compact document tree as a data structure.
可以分析rxp . c文件的源代码，以了解rxp解析生成紧凑文档树作为数据结构的方法。
In this article, I will take a brief look at the tools in LT XML, but my main focus will be examining the RXP tree API as exposed through the pyRXP binding.
在本文中，我将简要概述LTXML中的工具，但是主要重点还是研究通过pyRXP绑定公开的RXP树API。
The lt XML collection is built on top of RXP and contains a variety of command-line tools for working with XML, as well as some higher-level APIs than those in RXP itself.
LTXML集合建立在rxp之上，并包含多种处理XML的命令行工具，以及一些比rxp本身的API更高层的API。
Where you need to build a complete data structure out of an XML document, RXP probably edges out expat slightly; and if you need validation, expat is simply not an option.
在需要从XML文档构建一个完整的数据结构时，RXP可能稍微胜过expat ，而如果需要验证，那么肯定不会选用 expat 。
Where you need to build a complete data structure out of an XML document, RXP probably edges out expat slightly; and if you need validation, expat is simply not an option.
在需要从XML文档构建一个完整的数据结构时，RXP可能稍微胜过expat ，而如果需要验证，那么肯定不会选用 expat 。
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