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  2. JSFuck - Wikipedia

    en.wikipedia.org/wiki/JSFuck

    Other digits follow a similar pattern. Integers consisting of two or more digits are written, as a string, by concatenating 1-digit arrays with the plus operator. For example, the string "10" can be expressed in JavaScript as [1] + [0]. By replacing the digits with the respective JSFuck expansions, this yields [+!+[]]+[+[]].

  3. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    Default generator in R and the Python language starting from version 2.3. Xorshift: 2003 G. Marsaglia [26] It is a very fast sub-type of LFSR generators. Marsaglia also suggested as an improvement the xorwow generator, in which the output of a xorshift generator is added with a Weyl sequence.

  4. Yeoman (software) - Wikipedia

    en.wikipedia.org/wiki/Yeoman_(software)

    Yeoman is an open source client-side scaffolding tool for web applications.Yeoman runs as a command-line interface written for Node.js and combines several functions into one place, such as generating a starter template, managing dependencies, running unit tests, providing a local development server, and optimizing production code for deployment.

  5. ISAAC (cipher) - Wikipedia

    en.wikipedia.org/wiki/ISAAC_(cipher)

    ISAAC (indirection, shift, accumulate, add, and count) is a cryptographically secure pseudorandom number generator and a stream cipher designed by Robert J. Jenkins Jr. in 1993. [1] The reference implementation source code was dedicated to the public domain. [2] "I developed (...) tests to break a generator, and I developed the generator to ...

  6. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...

  7. Pseudorandom generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_generator

    If a full derandomization is desired, a completely deterministic simulation proceeds by replacing the random input to the randomized algorithm with the pseudorandom string produced by the pseudorandom generator. The simulation does this for all possible seeds and averages the output of the various runs of the randomized algorithm in a suitable way.

  8. yarn (package manager) - Wikipedia

    en.wikipedia.org/wiki/Yarn_(package_manager)

    An alternative to the npm package manager, Yarn was created as a collaboration of Facebook (now Meta), Exponent (now Expo.dev), Google, and Tilde (the company behind Ember.js) to solve consistency, security, and performance problems with large codebases.

  9. Fisher–Yates shuffle - Wikipedia

    en.wikipedia.org/wiki/Fisher–Yates_shuffle

    However, the need in a Fisher–Yates shuffle to generate random numbers in every range from 0–1 to 0–n almost guarantees that some of these ranges will not evenly divide the natural range of the random number generator. Thus, the remainders will not always be evenly distributed and, worse yet, the bias will be systematically in favor of ...