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Greeking is the use of random letters or marks to show the overall appearance of a printed page without showing the actual text. Greeking is used to make it easy to judge the overall appearance of a document without being distracted by the meaning of the text. This is a module is for quickly generating varying meaningless text from any source to create this illusion of the content in systems. This module was created to quickly give developers simulated content to fill systems with simulated content. Instead of static Lorem Ipsum text, by using randomly generated text and optionally varying word sources, repetitive and monotonous patterns that do not represent real system usage is avoided.

`chpp' is a preprocessor. Therefore, its main purpose is to modify input text by including other input files and by macro expansion. What distinguishes `chpp' from other textprocessors are mainly two features: * `chpp' is non-intrusive. This means that you can take your favorite text and it is very unlikely that it will be changed when piped through `chpp'. Due to this feature it is pretty easy to start using `chpp' since you can just start writing your text and need not concern yourself with `chpp' sitting in the background changing it for no obvious reason. * `chpp' is not just a package for performing simple macro expansion, but can indeed be considered a full-fledged programming language. Most importantly, it provides support for complex data structures, namely lists and hashes (associative arrays), which can be nested arbitrarily.

Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for names with the same pronunciation to be encoded to the same representation so that they can be matched despite minor differences in spelling. Soundex is the most widely known of all phonetic algorithms and is often used (incorrectly) as a synonym for "phonetic algorithm". Improvements to Soundex are the basis for many modern phonetic algorithms. (Wikipedia, 2007) Text::Soundex implements the original soundex algorithm developed by Robert Russell and Margaret Odell, patented in 1918 and 1922, as well as a variation called "American Soundex" used for US census data, and current maintained by the National Archives and Records Administration (NARA). The soundex algorithm may be recognized from Donald Knuth's The Art of Computer Programming. The algorithm described by Knuth is the NARA algorithm.

XML::SAX::Base has a very simple task - to be a base class for PerlSAX drivers and filters. It's default behaviour is to pass the input directly to the output unchanged. It can be useful to use this module as a base class so you don't have to, for example, implement the characters() callback. The main advantages that it provides are easy dispatching of events the right way (ie it takes care for you of checking that the handler has implemented that method, or has defined an AUTOLOAD), and the guarantee that filters will pass along events that they aren't implementing to handlers downstream that might nevertheless be interested in them.

Serialize your RSS as JavaScript. Perhaps you use XML::RSS to generate RSS for consumption by RSS parsers. Perhaps you also get requests for how to use the RSS feed by people who have no idea how to parse XML, or write Perl programs for that matter. Enter XML::RSS::JavaScript, a simle subclass of XML::RSS which writes your RSS feed as a sequence of JavaScript print statements. This means you can then write the JavaScript to disk, and a users HTML can simple include it like so: <script language="JavaScript" src="/myfeed.js"></script> What's more the javascript emits HTML that can be fully styled with CSS. See the CSS examples included with the distribution in the css directory.

The Translate Toolkit is a set of software and documentation designed to help make the lives of localizers both more productive and less frustrating. The software includes programs to covert localization formats to the common PO format and programs to check and manage PO files. The documentation includes guides on using the tools, running a localization project and how to localize various projects from OpenOffice.org to Mozilla. At its core the software contains a set of classes for handling various localization storage formats: DTD, properties, OpenOffice.org GSI/SDF, CSV and of course PO and XLIFF. It also provides scripts to convert between these formats. Also part of the Toolkit are Python programs to create word counts, merge translations and perform various checks on PO and XLIFF files.

Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built on top of the official low-level client (elasticsearch-py). It provides a more convenient and idiomatic way to write and manipulate queries. It stays close to the Elasticsearch JSON DSL, mirroring its terminology and structure. It exposes the whole range of the DSL from Python either directly using defined classes or a queryset-like expressions. It also provides an optional wrapper for working with documents as Python objects: defining mappings, retrieving and saving documents, wrapping the document data in user-defined classes. To use the other Elasticsearch APIs (eg. cluster health) just use the underlying client.

RiCal is a new Ruby Library for parsing, generating, and using iCalendar (RFC 2445) format data. RiCal distinguishes itself from existing Ruby libraries in providing support for Timezone components in Calendars. This means that RiCal parses VTIMEZONE data and instantiates timezone objects which can be used to convert times in the calendar to and from UTC time. In addition, RiCal allows created calendars and components to use time zones understood by TZInfo gem (from either the TZInfo gem or from Rails ActiveSupport => 2.2). When a calendar with TZInfo time zones is exported, RFC 2445 conforming VTIMEZONE components will be included, allowing other programs to process the result. Enumeration of recurring occurrences. For example, if an Event has one or more recurrence rules, then the occurrences of the event can be enumerated as a series of Event occurrences.

rmmseg-cpp is a high performance Chinese word segmentation utility for Ruby. It features full "Ferret":http://ferret.davebalmain.com/ integration as well as support for normal Ruby program usage. rmmseg-cpp is a re-written of the original RMMSeg(http://rmmseg.rubyforge.org/) gem in C++. RMMSeg is written in pure Ruby. Though I tried hard to tweak RMMSeg, it just consumes lots of memory and the segmenting process is rather slow. The interface is almost identical to RMMSeg but the performance is much better. This gem is always preferable in production use. However, if you want to understand how the MMSEG segmenting algorithm works, the source code of RMMSeg is a better choice than this.

Trac 使用较低门槛的方法来实施基于 web 的软件项目管理。我们的使命是，帮助开发者 编写出很好的软件。Trac 应该尽可能少地改变团队已有的开发过程和策略。 Trac 的所有方面都符合一个单一的目标，简化跟踪和软件问题的交流，增强和监测整个进程。 Trac 是什么？ * 一个管理软件项目的集成系统 * 一个增强的 wiki * 一个灵活的基于 web 的问题跟踪器 * 一个 Subversion 版本控制系统的界面 Trac 的核心在于集成 wiki 和问题/bug 数据库。使用 wiki 标记，所有管理的对象 都可以直接连接到其他的问题/bug 报告、代码变更集、文档和文件。