npm package: @stdlib/ndarray-base-bind2vind
Description: Convert a linear index in an underlying data buffer to a linear index in an array view.
Author: The Stdlib Authors
Latest version: 0.2.3

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# bind2vind

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> Convert a linear index in an underlying data buffer to a linear index in an array view.

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<section class="intro">

</section>

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<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/ndarray-base-bind2vind
```

</section>

<section class="usage">

## Usage

```javascript
var bind2vind = require( '@stdlib/ndarray-base-bind2vind' );
```

#### bind2vind( shape, strides, offset, order, idx, mode )

Converts a linear index in an underlying data buffer to a linear index in an array view.

```javascript
var shape = [ 3, 3 ];
var order = 'row-major';
var strides = [ -3, 1 ];
var offset = 6;

var idx = bind2vind( shape, strides, offset, order, 7, 'throw' );
// returns 1
```

The function supports the following modes:

-   **throw**: specifies that the function should throw an error when a linear index exceeds array dimensions.
-   **normalize**: specifies that the function should normalize negative indices and should throw an error when a linear index exceeds array dimensions.
-   **wrap**: specifies that the function should wrap around a linear index exceeding array dimensions using modulo arithmetic.
-   **clamp**: specifies that the function should set a linear index exceeding array dimensions to either `0` (minimum linear index) or the maximum linear index.

```javascript
var shape = [ 2, 2 ];
var order = 'row-major';
var strides = [ -2, 1 ];
var offset = 2;

var idx = bind2vind( shape, strides, offset, order, -2, 'wrap' );
// returns 0

idx = bind2vind( shape, strides, offset, order, 10, 'clamp' );
// returns 1
```

The `order` parameter specifies whether an array is `row-major` (C-style) or `column-major` (Fortran-style).

```javascript
var shape = [ 2, 2 ];
var order = 'column-major';
var strides = [ 1, -2 ];
var offset = 2;

var idx = bind2vind( shape, strides, offset, order, 2, 'throw' );
// returns 0
```

</section>

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</section>

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<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
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 bind2vind = require( '@stdlib/ndarray-base-bind2vind' );

// Specify array meta data:
var shape = [ 3, 3, 3 ];
var order = 'row-major';

// Compute array meta data:
var len = numel( shape );
var strides = shape2strides( shape, order );

// Randomly flip the sign of strides...
var i;
for ( i = 0; i < shape.length; i++ ) {
    if ( randu() < 0.5 ) {
        strides[ i ] *= -1;
    }
}

// Compute the underlying data buffer index offset:
var offset = strides2offset( shape, strides );

// Print array info:
console.log( 'Dims: %s', shape.join( 'x' ) );
console.log( 'Strides: %s', strides.join( ',' ) );
console.log( 'Offset: %d', offset );

// For each underlying data buffer index, determine the corresponding index into an array view...
var ind;
for ( i = 0; i < len; i++ ) {
    ind = bind2vind( shape, strides, offset, order, i, 'throw' );
    console.log( 'buffer[%d] => view[%d]', i, ind );
}
```

</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 &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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