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generates a pseudo-random number between 0 and UINT32_MAX, usually using a better algorithm than rand: arc4random_uniform: generates a pseudo-random number between 0 and a maximum value. arc4random_buf: fill a buffer with a pseudo-random bitstream. arc4random_stir: initializes a pseudo-random number generator.
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.
isl (integer set library) is a portable C library for manipulating sets and relations of integer points bounded by linear constraints. [2] The following operations are supported: [3] intersection, union, set difference; emptiness check; convex hull (integer) affine hull; integer projection; computing the lexicographic minimum using parametric ...
Integer division; Efficient integer division and calculating of the remainder when the divisor is known; Integer square and cube roots; Unusual number systems, including base −2; Transfer of values between floating-point and integer; Cyclic redundancy checks, error-correcting codes and Gray codes; Hilbert curves, including a discussion of ...
R Tools for Visual Studio (RTVS) is a plug-in for the Microsoft Visual Studio integrated development environment (IDE), used to provide support for programming in the language R. It supports IntelliSense , debugging, plotting, remote execution, SQL integration, and more.
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 ...
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The basic interface is for C, but wrappers exist for other languages, including Ada, C++, C#, Julia, .NET, OCaml, Perl, PHP, Python, R, Ruby, and Rust. Prior to 2008, Kaffe, a Java virtual machine, used GMP to support Java built-in arbitrary precision arithmetic. [7] Shortly after, GMP support was added to GNU Classpath. [8]