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@stdlib/random-array-randu
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Create an array containing uniformly distributed pseudorandom numbers between 0 and 1.
Create an array containing uniformly distributed pseudorandom numbers between
0and1.
npm install @stdlib/random-array-randu
var randu = require( '@stdlib/random-array-randu' );
Returns an array containing uniformly distributed pseudorandom numbers between 0 and 1.
var out = randu( 10 );
// returns <Float64Array>
The function has the following parameters:
The function accepts the following options:
'float64'.By default, the function returns a Float64Array. To return an array having a different data type, set the dtype option.
var opts = {
'dtype': 'generic'
};
var out = randu( 10, opts );
// returns [...]
Returns a function for creating arrays containing uniformly distributed pseudorandom numbers between 0 and 1.
var random = randu.factory();
var out = random( 10 );
// returns <Float64Array>
var len = out.length;
// returns 10
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: 32-bit Mersenne Twister.minstd: linear congruential pseudorandom number generator (LCG) based on Park and Miller.minstd-shuffle: linear congruential pseudorandom number generator (LCG) whose output is shuffled.Default: '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.
dtype: default output array data type. Must be a real-valued floating-point data type or "generic". Default: 'float64'.
By default, the underlying pseudorandom number generator is mt19937. To use a different PRNG, set the name option.
var opts = {
'name': 'minstd-shuffle'
};
var random = randu.factory( opts );
var out = random( 10 );
// returns <Float64Array>
To seed the underlying pseudorandom number generator, set the seed option.
var opts = {
'seed': 12345
};
var random = randu.factory( opts );
var out = random( 10, opts );
// returns <Float64Array>
The returned function accepts the following options:
To override the default output array data type, set the dtype option.
var random = randu.factory();
var out = random( 10 );
// returns <Float64Array>
var opts = {
'dtype': 'generic'
};
out = random( 10, opts );
// returns [...]
The underlying pseudorandom number generator.
var prng = randu.PRNG;
// returns <Function>
The value used to seed the underlying pseudorandom number generator.
var seed = randu.seed;
Length of underlying pseudorandom number generator seed.
var len = randu.seedLength;
// returns <number>
Writable property for getting and setting the underlying pseudorandom number generator state.
var state = randu.state;
Length of underlying pseudorandom number generator state.
var len = randu.stateLength;
// returns <number>
Size (in bytes) of underlying pseudorandom number generator state.
var sz = randu.byteLength;
// returns <number>
name option or use an underlying PRNG directly.factory method does not update the existing shared state and, instead, points to the newly provided state array. In order to synchronize the output of the underlying generator according to the new shared state array, the state array for each relevant creation function and/or PRNG must be explicitly set.var logEach = require( '@stdlib/console-log-each' );
var randu = require( '@stdlib/random-array-randu' );
// Create a function for generating random arrays originating from the same state:
var random = randu.factory({
'state': randu.state,
'copy': true
});
// Generate 3 arrays:
var x1 = random( 5 );
var x2 = random( 5 );
var x3 = random( 5 );
// Print the contents:
logEach( '%f, %f, %f', x1, x2, x3 );
// Create another function for generating random arrays with the original state:
random = randu.factory({
'state': randu.state,
'copy': true
});
// Generate a single array which replicates the above pseudorandom number generation sequence:
var x4 = random( 15 );
// Print the contents:
logEach( '%f', x4 );
This package is part of 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, see the main project repository.
See LICENSE.
Copyright © 2016-2023. The Stdlib Authors.
FAQs
Create an array containing uniformly distributed pseudorandom numbers between 0 and 1.
The npm package @stdlib/random-array-randu receives a total of 63 weekly downloads. As such, @stdlib/random-array-randu popularity was classified as not popular.
We found that @stdlib/random-array-randu demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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