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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 ).
JSDoc differs from Javadoc, in that it is specialized to handle JavaScript's dynamic behaviour. [2] An early example using a Javadoc-like syntax to document JavaScript was released in 1999 with the Netscape/Mozilla project Rhino, a JavaScript run-time system written in Java. It included a toy "JSDoc" HTML generator, versioned up to 1.3, as an ...
The entropy accumulator, which collects genuinely random data from various sources and uses it to reseed the generator when enough new randomness has arrived. The seed file, which stores enough state to enable the computer to start generating random numbers as soon as it has booted.
JavaScript is the server-side language used to develop services for the Opera Unite feature of the Opera browser. This is a server built into the browser. The JavaScript API includes local file access to a virtual sandboxed file-system and persistent storage via persistent global variables. PostgreSQL: V8: Embedded language PLV8 [7]
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.
Language bindings allow it to be used from programming languages including Go, Haskell, Java, JavaScript (with Node.js and WASM), Kotlin, Lua, OCaml, Perl, Python, Ruby, Rust, and Swift. Tree-sitter parsers have been written for these languages and many others. [11]
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 ...
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 ...