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greplicate

Replicate each strided array element a specified number of times.

Installation

npm install @stdlib/blas-ext-base-greplicate

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var greplicate = require( '@stdlib/blas-ext-base-greplicate' );

greplicate( N, k, x, strideX, out, strideOut )

Replicates each strided array element a specified number of times.

var x = [ 1.0, 2.0, 3.0 ];
var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];

greplicate( x.length, 2, x, 1, out, 1 );
// out => [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]

The function has the following parameters:

• N: number of indexed elements.
• k: number of times to replicate each element.
• x: input array.
• strideX: stride length for x.
• out: output array.
• strideOut: stride length for out.

The N and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to replicate every other element:

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];

greplicate( 3, 2, x, 2, out, 1 );
// out => [ 1.0, 1.0, 3.0, 3.0, 5.0, 5.0 ]

Note that indexing is relative to the first index. To introduce an offset, use typed array views.

var Float64Array = require( '@stdlib/array-float64' );

// Initial arrays...
var x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var out0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

// Create offset views...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var out1 = new Float64Array( out0.buffer, out0.BYTES_PER_ELEMENT*2 ); // start at 3rd element

greplicate( 3, 2, x1, 2, out1, 1 );
// out0 => <Float64Array>[ 0.0, 0.0, 2.0, 2.0, 4.0, 4.0, 6.0, 6.0 ]

greplicate.ndarray( N, k, x, strideX, offsetX, out, strideOut, offsetOut )

Replicates each strided array element a specified number of times using alternative indexing semantics.

var x = [ 1.0, 2.0, 3.0 ];
var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];

greplicate.ndarray( x.length, 2, x, 1, 0, out, 1, 0 );
// out => [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]

The function has the following additional parameters:

• offsetX: starting index for x.
• offsetOut: starting index for out.

While typed array views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to replicate every other element in the strided input array starting from the second element and to store in the last N*k elements of the strided output array starting from the last element:

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];

greplicate.ndarray( 3, 2, x, 2, 1, out, -1, out.length-1 );
// out => [ 0.0, 0.0, 6.0, 6.0, 4.0, 4.0, 2.0, 2.0 ]

Notes

• If N <= 0 or k <= 0, both functions return out unchanged.
• Both functions assume that the output array supports N*k indexed elements.
• Both functions support array-like objects having getter and setter accessors for array element access (e.g., @stdlib/array-base/accessor).

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var Float64Array = require( '@stdlib/array-float64' );
var greplicate = require( '@stdlib/blas-ext-base-greplicate' );

var x = discreteUniform( 10, -100, 100, {
    'dtype': 'float64'
});
console.log( x );

var out = new Float64Array( x.length * 3 );
console.log( out );

greplicate( x.length, 3, x, 1, out, 1 );
console.log( out );

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Notice

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.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.