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This template generates a pseudo-random integer between 0 and |count| -1. Usage: { {Random number|count|seed|prime}} All parameters are optional and have default values. They must be integers. The calculation is (Prime (Unix + Seed) + (Articles mod Prime)) mod Count, where. the default count is 100 (so by default, this template generates values ...
Directed graph of all 100 2-digit pseudorandom numbers obtained using the middle-square method with n = 2. In mathematics and computer science, the middle-square method is a method of generating pseudorandom numbers. In practice it is a highly flawed method for many practical purposes, since its period is usually very short and it has some ...
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
PSSCCC — Location codes (up to 31 location codes per message), each beginning with a dash character; programmed at time of event In the United States, the first digit (P) is zero if the entire county or area is included in the warning, otherwise, it is a non-zero number depending on the cardinal location of the emergency within the area. [9]
BBB has warned in the past about a scam on Facebook Marketplace where scammers posed as buyers and requested a seller’s phone number and six-digit code to “verify the seller is real.”. The ...
A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), [1] is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value, called ...
A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator.. A pseudorandom number generator's number sequence is completely determined by the seed: thus, if a pseudorandom number generator is later reinitialized with the same seed, it will produce the same sequence of numbers.
Varying prime (provided that they are odd prime numbers) generates pseudo-random that have independent random distribution. Note that when count is even (such as 100 by default, or 1000 in the examples above), the generated numbers (on the same page) are all odd or all even when you are varying the seed or prime , unless half of the calls use ...