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Old School RuneScape is a massively multiplayer online role-playing game (MMORPG), developed and published by Jagex.The game was released on 16 February 2013. When Old School RuneScape launched, it began as an August 2007 version of the game RuneScape, which was highly popular prior to the launch of RuneScape 3.
Players begin in a secluded area called Tutorial Island, where they are taken through a tutorial, a set path where they learn the most basic skills in RuneScape. [15] [16] After the tutorial, players have access to tutors and advisors located in the towns they explore, who can give players appropriate information about their respective skills. [17]
Boosting is a method by which low-ranked players in online multiplayer games, such as first-person shooters and massively multiplayer online role-playing games (MMORPGs), hire more skilled players to artificially increase their gaming account rank or winning positions.
RAR/DOS started as a mix of x86 assembler and C, with the amount of assembly code decreasing over time and moving to pure C/C++ later on. The first versions of WinRAR were written in C, modern versions are using C++. RAR for Android is written as a mixture of Java and C++. WinRAR and the RAR file format have evolved over time.
File archivers Developer Initial release Platform Latest release version Latest release date Status License Cost 7-Zip: Igor Pavlov 1999-01-02 Cross-platform 24.09 [1] 2024-11-29 Active LGPL-2.1-or-later (RAR plugin is proprietary) No cost ALZip: ESTsoft: 1999 [a] Cross-platform 12.22 [2] 2024-02-07 Active Proprietary No cost [b] Archive Manager
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The libraries are aimed at a wide range of C++ users and application domains. They range from general-purpose libraries like the smart pointer library, to operating system abstractions like Boost FileSystem, to libraries primarily aimed at other library developers and advanced C++ users, like the template metaprogramming (MPL) and domain-specific language (DSL) creation (Proto).
Orange, a free data mining software suite, module Orange.ensemble; Weka is a machine learning set of tools that offers variate implementations of boosting algorithms like AdaBoost and LogitBoost; R package GBM (Generalized Boosted Regression Models) implements extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient ...