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On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).
Called from other Lua modules.-----function p. main (funcName, args, listType)-- Sets the seed for the random number generator and passes control over to the other functions. local same = yesno (args. same) if not same then-- Generates a different number every time the module is called, even from the same page.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
Add the topic to the random topic generator at Wikipedia:Featured content/Topics and update the count. Update the {{ArticleHistory}} template on the talk pages of all articles in the topic. Remember to add both the action#= stats and the ftname= stats, and for the main article, ftmain=yes. Oldid is not required to be added in.
The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by Makoto Matsumoto (松本 眞) and Takuji Nishimura (西村 拓士). [1] [2] Its name derives from the choice of a Mersenne prime as its period length.
In 1992, further results were published, [11] implementing the ACORN Pseudo-Random Number Generator in exact integer arithmetic which ensures reproducibility across different platforms and languages, and stating that for arbitrary real-precision arithmetic it is possible to prove convergence of the ACORN sequence to k-distributed as the ...
In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop. All generators are also iterators. [1] A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.
Choose a starting page, either a favourite article or something from the Random page link. Now read the article (or just skim read) until you reach the N th link. Only count links in the body text of the article - that is, ignore any backward-redirect links or anything in a disambiguation section unless the whole article is only a ...