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Wikipedia:Random page patrol; Wikipedia:Random pages test; Wikipedia:Wiki-Link Game – fun with the Random article feature; Wikipedia:Enhanced Random Article – custom script; randomlink.js – tool to follow a random link or go to a random page in a category, list or WikiProject; Special:RandomInCategory; Template:Random page in category
Studying a random selection is a more practical approach to get a grasp on these questions – and compiling this sample is as simple as hitting Special:Random a bunch of times to record what comes up. Random pages tests by various editors can be found in Category:Random pages tests, although the category is not comprehensive. The concept of ...
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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.
Random test generators (often abbreviated RTG or ISG [1] for Instruction Stream Generator or Instruction Sequence Generator [1]) are a type of computer software that is used in functional verification of microprocessors. Their primary use lies in providing input stimulus to a device under test.
In Python, a generator can be thought of as an iterator that contains a frozen stack frame. Whenever next() is called on the iterator, Python resumes the frozen frame, which executes normally until the next yield statement is reached. The generator's frame is then frozen again, and the yielded value is returned to the caller.
A random 32×32 binary matrix is formed, each row a 32-bit random integer. The rank is determined. That rank can be from 0 to 32, ranks less than 29 are rare, and their counts are pooled with those for rank 29. Ranks are found for 40000 such random matrices and a chi square test is performed on counts for ranks 32, 31, 30 and ≤ 29.
Random testing is a black-box software testing technique where programs are tested by generating random, independent inputs. Results of the output are compared against software specifications to verify that the test output is pass or fail. [ 1 ]