包详细信息

@stdlib/random-base-randi

stdlib-js18kApache-2.00.2.1

Pseudorandom numbers having integer values.

stdlib, stdmath, mathematics, math

自述文件

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randi

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Pseudorandom numbers having integer values.

## Installation bash npm install @stdlib/random-base-randi
## Usage javascript var randi = require( '@stdlib/random-base-randi' ); #### randi() Returns a pseudorandom number having an integer value. javascript var v = randi(); // returns <number> #### randi.factory( [options] ) Returns a pseudorandom number generator (PRNG) for generating random numbers. javascript var rand = randi.factory(); The function accepts the following options: - name: name of a supported pseudorandom number generator (PRNG), which will serve as the underlying source of pseudorandom numbers. The following generators are supported: - [mt19937][@stdlib/random/base/mt19937]: 32-bit Mersenne Twister. - [minstd][@stdlib/random/base/minstd]: linear congruential pseudorandom number generator (LCG) based on Park and Miller. - [minstd-shuffle][@stdlib/random/base/minstd-shuffle]: linear congruential pseudorandom number generator (LCG) whose output is shuffled. Default: ['mt19937'][@stdlib/random/base/mt19937]. - seed: pseudorandom number generator seed. Valid seed values vary according to the underlying PRNG. - state: pseudorandom number generator state. Valid state values vary according to the underlying PRNG. If provided, the function ignores the seed option. - copy: boolean indicating whether to copy a provided pseudorandom number generator state. Setting this option to false allows sharing state between two or more pseudorandom number generators. Setting this option to true ensures that a returned generator has exclusive control over its internal state. Default: true. By default, the underlying pseudorandom number generator is [mt19937][@stdlib/random/base/mt19937]. To use a different PRNG, set the name option. javascript var rand = randi.factory({ 'name': 'minstd-shuffle' }); var v = rand(); // returns <number> To seed a pseudorandom number generator, set the seed option. javascript var rand1 = randi.factory({ 'seed': 12345 }); var r1 = rand1(); // returns <number> var rand2 = randi.factory({ 'seed': 12345 }); var r2 = rand2(); // returns <number> var bool = ( r1 === r2 ); // returns true To return a generator having a specific initial state, set the generator state option. javascript var rand; var bool; var r; var i; // Generate pseudorandom numbers, thus progressing the generator state: for ( i = 0; i < 1000; i++ ) { r = randi(); } // Create a new PRNG initialized to the current state of `randi`: rand = randi.factory({ 'state': randi.state }); // Test that the generated pseudorandom numbers are the same: bool = ( rand() === randi() ); // returns true #### randi.NAME The generator name. javascript var str = randi.NAME; // returns 'randi' #### randi.PRNG The underlying pseudorandom number generator. javascript var prng = randi.PRNG; // returns <Function> #### randi.MIN Minimum value lower bound (specific to underlying PRNG). javascript var min = randi.MIN; // returns <number> #### randi.MAX Maximum value upper bound (specific to underlying PRNG). javascript var max = randi.MAX; // returns <number> #### randi.seed The value used to seed randi(). javascript var rand; var v; var i; // Generate pseudorandom values... for ( i = 0; i < 100; i++ ) { v = randi(); } // Generate the same pseudorandom values... rand = randi.factory({ 'seed': randi.seed }); for ( i = 0; i < 100; i++ ) { v = rand(); } #### randi.seedLength Length of generator seed. javascript var len = randi.seedLength; // returns <number> #### randi.state Writable property for getting and setting the generator state. javascript var r = randi(); // returns <number> r = randi(); // returns <number> // ... // Get a copy of the current state: var state = randi.state; r = randi(); // returns <number> r = randi(); // returns <number> // Reset the state: randi.state = state; // Replay the last two pseudorandom numbers: r = randi(); // returns <number> r = randi(); // returns <number> // ... #### randi.stateLength Length of generator state. javascript var len = randi.stateLength; // returns <number> #### randi.byteLength Size (in bytes) of generator state. javascript var sz = randi.byteLength; // returns <number> #### randi.toJSON() Serializes the pseudorandom number generator as a JSON object. javascript var o = randi.toJSON(); // returns { 'type': 'PRNG', 'name': '...', 'state': {...}, 'params': [] }
## Notes - Warning: the default underlying source of pseudorandom numbers may change in the future. If exact reproducibility is required, either explicitly specify a PRNG via the name option or use an underlying PRNG directly. - If PRNG state is "shared" (meaning a state array was provided during PRNG creation and not copied) and one sets the generator state to a state array having a different length, the PRNG does not update the existing shared state and, instead, points to the newly provided state array. In order to synchronize PRNG output according to the new shared state array, the state array for each relevant PRNG must be explicitly set. - If PRNG state is "shared" and one sets the generator state to a state array of the same length, the PRNG state is updated (along with the state of all other PRNGs sharing the PRNG's state array).
## Examples javascript var randi = require( '@stdlib/random-base-randi' ); var seed; var rand; var i; // Generate pseudorandom numbers... for ( i = 0; i < 100; i++ ) { console.log( randi() ); } // Create a new pseudorandom number generator... seed = 1234; rand = randi.factory({ 'seed': seed }); for ( i = 0; i < 100; i++ ) { console.log( rand() ); } // Create another pseudorandom number generator using a previous seed... rand = randi.factory({ 'seed': randi.seed }); for ( i = 0; i < 100; i++ ) { console.log( rand() ); }
* ## See Also - [@stdlib/random-base/minstd][@stdlib/random/base/minstd]: A linear congruential pseudorandom number generator (LCG) based on Park and Miller. - [@stdlib/random-base/minstd-shuffle][@stdlib/random/base/minstd-shuffle]: A linear congruential pseudorandom number generator (LCG) whose output is shuffled. - [@stdlib/random-base/mt19937][@stdlib/random/base/mt19937]: A 32-bit Mersenne Twister pseudorandom number generator.
* ## Notice This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more. For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2024. The Stdlib [Authors][stdlib-authors].
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