Ports 搜索

共有19,819项符合%22HTTP Server%22的查询结果,以下是第19,04119,050项(搜索用时0.012秒)
textproc/Lingua-Stem-Snowball-Da-1.01 (Score: 7.739885E-4)
Porters stemming algorithm for Denmark
The stem function takes a scalar as a parameter and stems the word according to Martin Porters Danish stemming algorithm.
textproc/Perl-Critic-Bangs-1.08 (Score: 7.739885E-4)
Collection of handy Perl::Critic policies
Perl::Critic::Bangs is a collection of Perl::Critic policies that will help make your code better.
Analyzer for CJK texts
This is a text analyzer for analyzing CJK texts. Plucene does not support CJK texts natively. This module encodes terms in MIME::Base64 format to get around this problem. Texts are assumbed to be in UTF-8 encoding.
Stemmed analyzer plugin for p5-Plucene search engine
An analyzer plugin for p5-Plucene search engine, which filters StandardTokenizer with SnowballAnalyzer.
Use filters on sections of your pod documents
The whole idea of this module is to take advantage of all the syntax colouring modules that exist (such as Perl::Tidy) to produce colourful code examples in a POD document (after conversion to HTML).
Regex pattern for Email Addresses
Regexp::Common::Email::Address provides a regex to match email addresses as defined by RFC 2822.
textproc/Regexp-Common-net-CIDR-0.03 (Score: 7.739885E-4)
Provide patterns for CIDR blocks
Patterns for CIDR blocks.
Provide regexes for U.S. profanity
Instead of a dry technical overview, I am going to explain the structure of this module based on its history. I consult at a company that generates customer leads primarily by having websites that attract people (e.g. lowering loan values, selling cars, buying real estate, etc.). For some reason we get more than our fair share of profane leads. For this reason I was told to write a profanity checker. For the data that I was dealing with, the profanity was most often in the email address or in the first or last name, so I naively started filtering profanity with a set of regexps for that sort of data. Note that both names and email addresses are unlike what you are reading now: they are not whitespace-separated text, but are instead labels. Therefore full support for profanity checking should work in 2 entirely different contexts: labels (email, names) and text (what you are reading). Because open-source is driven by demand and I have no need for detecting profanity in text, only label is implemented at the moment. And you know the next sentence: "patches welcome" :)
textproc/Regexp-Log-Common-0.10 (Score: 7.739885E-4)
Regexp::Log::Common, a parser for the Common Log Format
Regexp::Log::Common uses Regexp::Log as a base class, to generate regular expressions for performing the usual data munging tasks on log files that cannot be simply split().
textproc/SGML-Parser-OpenSP-0.994 (Score: 7.739885E-4)
Parse SGML documents using OpenSP
SGML::Parser::OpenSP is an interface to the OpenSP parser. It allows for Perl scripts to parse an SGML document (including HTML) using the OpenSP parser.