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2. Code generation (compiler) - Wikipedia

   en.wikipedia.org/wiki/Code_generation_(compiler)

   When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite state machine is often generated instead of a deterministic one, because usually the former can be created more ...

3. Comparison of parser generators - Wikipedia

   en.wikipedia.org/.../Comparison_of_parser_generators

   To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration ...

4. List of Java bytecode instructions - Wikipedia

   en.wikipedia.org/wiki/List_of_Java_bytecode...

   This is a list of the instructions that make up the Java bytecode, an abstract machine language that is ultimately executed by the Java virtual machine. [1] The Java bytecode is generated from languages running on the Java Platform, most notably the Java programming language. Note that any referenced "value" refers to a 32-bit int as per the ...

5. Mersenne Twister - Wikipedia

   en.wikipedia.org/wiki/Mersenne_Twister

   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. The Mersenne Twister was designed specifically to rectify most of the flaws found in older PRNGs.

6. Comparison of code generation tools - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_code...

   Any textual language. DMS Software Reengineering Toolkit. Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP.

7. Comparison of documentation generators - Wikipedia

   en.wikipedia.org/wiki/Comparison_of...

   C, C++, Java Windows, Linux, Unix 1995 7.3 Proprietary Javadoc: Sun Microsystems: Text Java Any 1995 1.6 GPL JSDoc: Michael Mathews Text JavaScript Any 2001/07/— 1.10.2 GPL JsDoc Toolkit: Michael Mathews Text JavaScript Any 2007? 2.0.0 MIT mkd: Jean-Paul Louyot Text Any with comments Unix, Linux, Windows 1989 2015 EUPL GPL MkDocs: Tom ...

8. Fortuna (PRNG) - Wikipedia

   en.wikipedia.org/wiki/Fortuna_(PRNG)

   Fortuna (PRNG) Fortuna is a cryptographically secure pseudorandom number generator (CS-PRNG) devised by Bruce Schneier and Niels Ferguson and published in 2003. It is named after Fortuna, the Roman goddess of chance. FreeBSD uses Fortuna for /dev/random and /dev/urandom is symbolically linked to it since FreeBSD 11. [1]

9. Generator (computer programming) - Wikipedia

   en.wikipedia.org/wiki/Generator_(computer...

   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.