README.md

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smsktrunc

Round each element in a single-precision floating-point strided array toward zero according to a strided mask array.

Usage

To use in Observable,

smsktrunc = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/math-strided-special-smsktrunc@umd/browser.js' )

To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:

var smsktrunc = require( 'path/to/vendor/umd/math-strided-special-smsktrunc/index.js' )

To include the bundle in a webpage,

<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-strided-special-smsktrunc@umd/browser.js"></script>

If no recognized module system is present, access bundle contents via the global scope:

<script type="text/javascript">
(function () {
    window.smsktrunc;
})();
</script>

smsktrunc( N, x, sx, m, sm, y, sy )

Rounds each element in a single-precision floating-point strided array x toward zero according to a strided mask array and assigns the results to elements in a single-precision floating-point strided array y.

var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );

var x = new Float32Array( [ 1.1, 2.5, -3.5, 4.0, -5.9 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 1 ] );
var y = new Float32Array( x.length );

smsktrunc( x.length, x, 1, m, 1, y, 1 );
// y => <Float32Array>[ 1.0, 2.0, 0.0, 4.0, 0.0 ]

The function accepts the following arguments:

• N: number of indexed elements.
• x: input Float32Array.
• sx: index increment for x.
• m: mask Uint8Array.
• sm: index increment for m.
• y: output Float32Array.
• sy: index increment for y.

The N and stride parameters determine which strided array elements are accessed at runtime. For example, to index every other value in x and to index the first N elements of y in reverse order,

var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );

var x = new Float32Array( [ 1.1, 2.5, -3.5, 4.0, -5.9, 6.4 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 1, 1 ] );
var y = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

smsktrunc( 3, x, 2, m, 2, y, -1 );
// y => <Float32Array>[ 0.0, 0.0, 1.0, 0.0, 0.0, 0.0 ]

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

var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );

// Initial arrays...
var x0 = new Float32Array( [ 1.1, 2.5, -3.5, 4.0, -5.9, 6.4 ] );
var m0 = new Uint8Array( [ 0, 0, 1, 0, 1, 1 ] );
var y0 = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

// Create offset views...
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element

smsktrunc( 3, x1, -2, m1, -2, y1, 1 );
// y0 => <Float32Array>[ 0.0, 0.0, 0.0, 0.0, 4.0, 2.0 ]

smsktrunc.ndarray( N, x, sx, ox, m, sm, om, y, sy, oy )

Rounds each element in a single-precision floating-point strided array x toward zero according to a strided mask array and assigns the results to elements in a single-precision floating-point strided array y using alternative indexing semantics.

var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );

var x = new Float32Array( [ 1.1, 2.5, -3.5, 4.0, -5.9 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 1 ] );
var y = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );

smsktrunc.ndarray( x.length, x, 1, 0, m, 1, 0, y, 1, 0 );
// y => <Float32Array>[ 1.0, 2.0, 0.0, 4.0, 0.0 ]

The function accepts the following additional arguments:

• ox: starting index for x.
• om: starting index for m.
• oy: starting index for y.

While typed array views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to index every other value in x starting from the second value and to index the last N elements in y,

var Float32Array = require( '@stdlib/array-float32' );
var Uint8Array = require( '@stdlib/array-uint8' );

var x = new Float32Array( [ 1.1, 2.5, -3.5, 4.0, -5.9, 6.4 ] );
var m = new Uint8Array( [ 0, 0, 1, 0, 1, 1 ] );
var y = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

smsktrunc.ndarray( 3, x, 2, 1, m, 2, 1, y, -1, y.length-1 );
// y => <Float32Array>[ 0.0, 0.0, 0.0, 0.0, 4.0, 2.0 ]

Examples

<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/random-base-uniform@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-uint8@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/math-strided-special-smsktrunc@umd/browser.js"></script>
<script type="text/javascript">
(function () {

var x = new Float32Array( 10 );
var m = new Uint8Array( 10 );
var y = new Float32Array( 10 );

var i;
for ( i = 0; i < x.length; i++ ) {
    x[ i ] = uniform( -10.0, 10.0 );
    if ( uniform( 0.0, 1.0 ) < 0.5 ) {
        m[ i ] = 1;
    }
}
console.log( x );
console.log( m );
console.log( y );

smsktrunc.ndarray( x.length, x, 1, 0, m, 1, 0, y, -1, y.length-1 );
console.log( y );

})();
</script>
</body>
</html>

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See Also

• @stdlib/math-strided/special/dmsktrunc: round each element in a double-precision floating-point strided array toward zero according to a strided mask array.
• @stdlib/math-strided/special/smskceil: round each element in a single-precision floating-point strided array toward positive infinity according to a strided mask array.
• @stdlib/math-strided/special/smskfloor: round each element in a single-precision floating-point strided array toward negative infinity according to a strided mask array.
• @stdlib/math-strided/special/strunc: round each element in a single-precision floating-point strided array toward zero.

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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 © 2016-2024. The Stdlib Authors.