Package Exports

@stdlib/ndarray-base-to-unique-normalized-indices
@stdlib/ndarray-base-to-unique-normalized-indices/lib/index.js

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toUniqueNormalizedIndices

Return a list of unique indices after normalizing to the interval [0,max].

Installation

npm install @stdlib/ndarray-base-to-unique-normalized-indices

Usage

var toUniqueNormalizedIndices = require( '@stdlib/ndarray-base-to-unique-normalized-indices' );

toUniqueNormalizedIndices( indices, max )

Returns a list of unique indices after normalizing to the interval [0,max].

var idx = toUniqueNormalizedIndices( [ 2, -5 ], 10 );
// returns [ 2, 6 ]

If provided an out-of-bounds index, the function returns null.

var idx = toUniqueNormalizedIndices( [ 15, -15 ], 10 );
// returns null

Notes

During normalization, a negative index is converted to a nonnegative index according to max + idx + 1. If, after normalization, the resolved index is still negative, the value is considered out-of-bounds.
When provided valid indices, the function always returns a "generic" array.
The function preserves provided index order.

Examples

var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var toUniqueNormalizedIndices = require( '@stdlib/ndarray-base-to-unique-normalized-indices' );

// Generate a list of random indices:
var idx = discreteUniform( 100, -15, 15, {
    'dtype': 'generic'
});
console.log( idx );

// Generate a list of unique indices normalized to the interval `[0, 15]`:
var out = toUniqueNormalizedIndices( idx, 15 );
console.log( out );

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.

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License

See LICENSE.

@stdlib/ndarray-base-to-unique-normalized-indices