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Compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.
import minmaxViewBufferIndex from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-minmax-view-buffer-index@esm/index.mjs';You can also import the following named exports from the package:
import { assign } from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-minmax-view-buffer-index@esm/index.mjs';Computes the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.
// Array shape:
var shape = [ 2, 2 ];
// Stride array:
var strides = [ 2, 1 ];
// Index offset which specifies the location of the first indexed value:
var offset = 0;
var idx = minmaxViewBufferIndex( shape, strides, offset );
// returns [ 0, 3 ]Computes the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view and assigns results to a provided output array.
var shape = [ 2, 2 ];
var strides = [ -1, -2 ];
var offset = 3;
var out = [ 0, 0 ];
var idx = minmaxViewBufferIndex.assign( shape, strides, offset, out );
// returns [ 0, 3 ]
var bool = ( idx === out );
// returns true<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform@esm/index.mjs';
import shape2strides from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-shape2strides@esm/index.mjs';
import strides2offset from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-strides2offset@esm/index.mjs';
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@esm/index.mjs';
import minmaxViewBufferIndex from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-minmax-view-buffer-index@esm/index.mjs';
var strides;
var offset;
var shape;
var idx;
var i;
var j;
shape = [ 0, 0, 0 ];
for ( i = 0; i < 100; i++ ) {
// Generate a random array shape:
shape[ 0 ] = discreteUniform( 1, 10 );
shape[ 1 ] = discreteUniform( 1, 10 );
shape[ 2 ] = discreteUniform( 1, 10 );
// Generate strides:
if ( randu() < 0.5 ) {
strides = shape2strides( shape, 'row-major' );
} else {
strides = shape2strides( shape, 'column-major' );
}
j = discreteUniform( 0, shape.length-1 );
strides[ j ] *= ( randu() < 0.5 ) ? -1 : 1;
// Compute the index offset:
offset = strides2offset( shape, strides ) + 25; // include a view offset
// Compute the minimum and maximum linear indices:
idx = minmaxViewBufferIndex( shape, strides, offset );
console.log( 'Shape: %s. Strides: %s. Offset: %d. Min idx: %d. Max idx: %d.', shape.join( 'x' ), strides.join( ',' ), offset, idx[ 0 ], idx[ 1 ] );
}
</script>
</body>
</html>This package is part of stdlib, a standard library 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 © 2016-2025. The Stdlib Authors.
