@stdlib/ndarray-base-sub2ind
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Convert subscripts to a linear index.
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# sub2ind
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> Convert subscripts to a linear index.
<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
<section class="intro">
</section>
<!-- /.intro -->
<!-- Package usage documentation. -->
<section class="installation">
## Installation
```bash
npm install @stdlib/ndarray-base-sub2ind
```
</section>
<section class="usage">
## Usage
```javascript
var sub2ind = require( '@stdlib/ndarray-base-sub2ind' );
```
#### sub2ind( shape, strides, offset, ...subscripts, mode )
Converts subscripts to a linear index.
```javascript
var shape = [ 2, 2 ];
var strides = [ 2, 1 ];
var offset = 0;
var mode = [ 'throw' ];
var idx = sub2ind( shape, strides, offset, 1, 0, mode );
// returns 2
```
The function supports the following modes:
- **throw**: specifies that the function should throw an error when a subscript exceeds array dimensions.
- **normalize**: specifies that the function should normalize negative subscripts and throw an error when a subscript exceeds array dimensions.
- **wrap**: specifies that the function should wrap around subscripts exceeding array dimensions using modulo arithmetic.
- **clamp**: specifies that the function should set subscripts exceeding array dimensions to either `0` (minimum index) or the maximum index along a particular dimension.
```javascript
var shape = [ 2, 2 ];
var strides = [ 2, 1 ];
var offset = 0;
var mode = [ 'wrap' ];
var idx = sub2ind( shape, strides, offset, -2, 0, mode );
// returns 0
mode = [ 'clamp' ];
idx = sub2ind( shape, strides, offset, 10, 10, mode );
// returns 3
```
</section>
<!-- /.usage -->
<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
<section class="notes">
## Notes
- When provided fewer `modes` than dimensions, the function recycles `modes` using modulo arithmetic.
```javascript
var shape = [ 2, 2, 2 ];
var strides = [ 4, 2, 1 ];
var offset = 0;
var mode = [ 'wrap', 'clamp' ];
var idx = sub2ind( shape, strides, offset, -2, 10, -1, mode );
// returns 3
```
- When provided a stride array containing negative strides, if an `offset` is greater than `0`, the function treats subscripts as mapping to a linear index in an underlying data buffer for the array, thus returning a linear index from the perspective of that buffer. If an `offset` is equal to `0`, the function treats subscripts as mapping to a linear index in an array view, thus returning a linear index from the perspective of that view.
```text
Dims: 2x2
Buffer: [ 1, 2, 3, 4 ]
View = [ a00, a01,
a10, a11 ]
Strides: 2,1
Offset: 0
View = [ 1, 2,
3, 4 ]
Strides: 2,-1
Offset: 1
View = [ 2, 1,
4, 3 ]
Strides: -2,1
Offset: 2
View = [ 3, 4,
1, 2 ]
Strides: -2,-1
Offset: 3
View = [ 4, 3,
2, 1 ]
```
```javascript
var shape = [ 2, 2 ];
var strides = [ -2, 1 ];
var offset = 2;
var mode = [ 'throw' ];
// From the perspective of a view...
var idx = sub2ind( shape, strides, 0, 0, 0, mode );
// returns 0
idx = sub2ind( shape, strides, 0, 0, 1, mode );
// returns 1
idx = sub2ind( shape, strides, 0, 1, 0, mode );
// returns 2
idx = sub2ind( shape, strides, 0, 1, 1, mode );
// returns 3
// From the perspective of an underlying buffer...
idx = sub2ind( shape, strides, offset, 0, 0, mode );
// returns 2
idx = sub2ind( shape, strides, offset, 0, 1, mode );
// returns 3
idx = sub2ind( shape, strides, offset, 1, 0, mode );
// returns 0
idx = sub2ind( shape, strides, offset, 1, 1, mode );
// returns 1
```
In short, from the perspective of a view, view data is always ordered.
</section>
<!-- /.notes -->
<!-- Package usage examples. -->
<section class="examples">
## Examples
<!-- eslint no-undef: "error" -->
```javascript
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var shape2strides = require( '@stdlib/ndarray-base-shape2strides' );
var strides2offset = require( '@stdlib/ndarray-base-strides2offset' );
var numel = require( '@stdlib/ndarray-base-numel' );
var randu = require( '@stdlib/random-base-randu' );
var sub2ind = require( '@stdlib/ndarray-base-sub2ind' );
var shape = [ 3, 3 ];
var strides = shape2strides( shape, 'row-major' );
var mode = [ 'throw' ];
var len = numel( shape );
var arr = [];
var i;
for ( i = 0; i < len; i++ ) {
arr.push( i );
}
var offset;
var idx;
var row;
var j;
var n;
var m;
for ( i = 0; i < 20; i++ ) {
j = discreteUniform( 0, shape.length-1 );
strides[ j ] = ( randu() < 0.5 ) ? -1 : 1;
offset = strides2offset( shape, strides );
console.log( '' );
console.log( 'Dimensions: %s.', shape.join( 'x' ) );
console.log( 'Strides: %s.', strides.join( ',' ) );
console.log( 'View:' );
for ( n = 0; n < shape[ 0 ]; n++ ) {
row = ' ';
for ( m = 0; m < shape[ 1 ]; m++ ) {
idx = sub2ind( shape, strides, offset, n, m, mode );
row += arr[ idx ];
if ( m < shape[ 1 ]-1 ) {
row += ', ';
}
}
console.log( row );
}
}
```
</section>
<!-- /.examples -->
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* * *
## Notice
This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].
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---
## License
See [LICENSE][stdlib-license].
## Copyright
Copyright © 2016-2024. The Stdlib [Authors][stdlib-authors].
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