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Results 2,6312,640 of 18,669 for descr.zh_CN%3A%E9%81%8F%E5%88%B6%E5%9E%83%E5%9C%BE.(0.01 seconds)
misc/File-Sort-1.01 (Score: 7.0808025E-4)
Sort a file or merge sort multiple files
This is File::Sort 1.00, for sorting files similarly to sort(1). Written primarily for MacPerl users who do not have sort(1) and because of memory limitations cannot sort files in memory, but works on all perls, and can be useful for portable sorting of large files, or for any system that doesn't have a sort(1) and is virtual-memory-deprived (including Windows).
net/Daemon-Generic-0.84 (Score: 7.0808025E-4)
Framework to provide start/stop/reload for a daemon
Daemon::Generic provides a framework for starting, stopping, reconfiguring daemon-like programs. The framework provides for standard commands that work for as init.d files and as apachectl-like commands. Programs that use Daemon::Generic subclass Daemon::Generic to override its behavior. Almost everything that Genric::Daemon does can be overridden as needed.
textproc/tinycss-0.4 (Score: 7.0808025E-4)
A complete yet simple CSS parser for Python
tinycss is a complete yet simple CSS parser for Python. It supports the full syntax and error handling for CSS 2.1 as well as some CSS 3 modules: -- CSS Color 3 -- CSS Fonts 3 -- CSS Paged Media 3 It is designed to be easy to extend for new CSS modules and syntax, and integrates well with cssselect for Selectors 3 support.
www/mechanize-2.7.4 (Score: 7.0808025E-4)
WWW::Mechanize, a handy web browsing ruby object
The Mechanize library is used for automating interaction with websites. Mechanize automatically stores and sends cookies, follows redirects, can follow links, and submit forms. Form fields can be populated and submitted. Mechanize also keeps track of the sites that you have visited as a history.
www/mechanize-2.6.0 (Score: 7.0808025E-4)
WWW::Mechanize, a handy web browsing ruby object
The Mechanize library is used for automating interaction with websites. Mechanize automatically stores and sends cookies, follows redirects, can follow links, and submit forms. Form fields can be populated and submitted. Mechanize also keeps track of the sites that you have visited as a history.
games/kdiamond-4.14.3 (Score: 7.0803193E-4)
Three-in-a-row game
KDiamond is a single player puzzle game. The object of the game is to build lines of three similar diamonds.
mail/drac-1.12 (Score: 7.079653E-4)
Dynamic Relay Authorization Control, a POP-before-SMTP implementation
DRAC is a daemon that dynamically updates a relay authorization map for Sendmail, Postfix and other MTAs that support it. It provides a way for legitimate users to relay mail through an SMTP server, while preventing non-authorized users from using it as a spam relay. Authenticated users have their IP address added to the map immediately after they have authenticated via POP, IMAP, or any other daemon which supports the DRAC API. By default, map entries expire after 30 minutes, but can be renewed by additional authentication. Periodically checking mail on a POP server sufficiently does this. DRAC does not require that the POP/IMAP and SMTP server be on the same physical host.
sysutils/nologin-1.0 (Score: 7.078714E-4)
Refuse a login to a user, and make a note of it in syslog
This program will refuse login to a user, and make a note of it in the system logs (syslog). This is suitable for use as a "login shell" for a user that you want to temporarily deny access to. Just set that user's shell to /usr/local/sbin/nologin.
dns/mdnsd-0.7G (Score: 7.075562E-4)
Advertise a service via Rendezvous
mdnsd is a very lightweight, simple, portable, and easy to integrate open source implementation of Multicast DNS (part of Zeroconf, also called Rendezvous by Apple) for developers. It supports both acting as a Query and a Responder, allowing any software to participate fully on the .localnetwork. -- Dan Pelleg daniel+mdnsd@pelleg.org
math/mosesdecoder-2.1.1 (Score: 7.075562E-4)
A statistical machine translation system
Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). Once you have a trained model, an efficient search algorithm quickly finds the highest probability translation among the exponential number of choices.