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In computing, code generation is part of the process chain of a compiler and converts intermediate representation of source code into a form (e.g., machine code) that can be readily executed by the target system.
Output determined by template (any language or even plain text); additional support for emitting header guards, certain licenses, option parsers, and finite state machines in C. GSL Universal Code Generator. C. Active.
In computing, code generation denotes software techniques or systems that generate program code which may then be used independently of the generator system in a runtime environment.
In computer science, automatic programming is a type of computer programming in which some mechanism generates a computer program to allow human programmers to write the code at a higher abstraction level.
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Comparison of documentation generators. The following tables compare general and technical information for a number of documentation generators. Please see the individual products' articles for further information.
Formally, a message authentication code (MAC) system is a triple of efficient algorithms (G, S, V) satisfying: G (key-generator) gives the key k on input 1 n , where n is the security parameter. S (signing) outputs a tag t on the key k and the input string x .
Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.
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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. 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.
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