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Uint8Tensor0D

Create an 8-bit unsigned integer zero-dimensional ndarray.

Installation

npm install @stdlib/ndarray-tensor0d-uint8

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 Uint8Tensor0D = require( '@stdlib/ndarray-tensor0d-uint8' );

Uint8Tensor0D( [options] )

Returns a zero-dimensional 8-bit unsigned integer ndarray.

var arr = new Uint8Tensor0D();
// returns <ndarray>[ 0 ]

The function accepts the following options:

• order: specifies whether an ndarray is 'row-major' (C-style) or 'column-major' (Fortran-style). Default: 'row-major'.
• readonly: boolean indicating whether an array should be read-only. Default: false.

Uint8Tensor0D( value[, options] )

Creates a zero-dimensional 8-bit unsigned integer ndarray from a scalar value.

var arr = new Uint8Tensor0D( 1 );
// returns <ndarray>[ 1 ]

Uint8Tensor0D( buffer[, byteOffset][, options] )

Returns a zero-dimensional 8-bit unsigned integer ndarray view of an ArrayBuffer.

var ArrayBuffer = require( '@stdlib/array-buffer' );

var buf = new ArrayBuffer( 9 );

var arr1 = new Uint8Tensor0D( buf );
// returns <ndarray>[ 0 ]

var arr2 = new Uint8Tensor0D( buf, 8 );
// returns <ndarray>[ 0 ]

Notes

• The function does not guard against precision loss when providing non-integer scalar values. Such values are truncated during ndarray creation.

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var map = require( '@stdlib/ndarray-map' );
var Uint8Tensor0D = require( '@stdlib/ndarray-tensor0d-uint8' );

// Create a zero-dimensional ndarray containing a random value:
var x = new Uint8Tensor0D( discreteUniform( 1, 100 ) );
console.log( x.get() );

// Define a function which applies a threshold:
function threshold( v ) {
    return ( v > 10 ) ? v : 0;
}

// Apply threshold:
var y = map( x, threshold );
console.log( y.get() );

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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.