# @stdlib/ndarray-base-nonsingleton-dimensions

0.2.1 • Public • Published

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# Non-Singleton Dimensions

Return the number of non-singleton dimensions.

## Installation

`npm install @stdlib/ndarray-base-nonsingleton-dimensions`

## Usage

`var nonsingletonDimensions = require( '@stdlib/ndarray-base-nonsingleton-dimensions' );`

#### nonsingletonDimensions( shape )

Returns the number of non-singleton dimensions.

```var n = nonsingletonDimensions( [ 3, 1, 3 ] );
// returns 2```

## Notes

• A singleton dimension is a dimension whose size is equal to `1`.

## Examples

```var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var nonsingletonDimensions = require( '@stdlib/ndarray-base-nonsingleton-dimensions' );

var shape;
var n;
var i;

shape = [ 0, 0, 0 ];
for ( i = 0; i < 100; i++ ) {
shape[ 0 ] = discreteUniform( 1, 5 );
shape[ 1 ] = discreteUniform( 1, 5 );
shape[ 2 ] = discreteUniform( 1, 5 );
n = nonsingletonDimensions( shape );
console.log( 'shape: %s. non-singleton dimensions: %d.', shape.join( 'x' ), n );
}```

## C APIs

### Usage

`#include "stdlib/ndarray/base/nonsingleton_dimensions.h"`

#### stdlib_ndarray_nonsingleton_dimensions( ndims, *shape )

Returns the number of non-singleton dimensions.

```int64_t ndims = 2;
int64_t shape[] = { 10, 1 };

int64_t n = stdlib_ndarray_nonsingleton_dimensions( ndims, shape );
// returns 1```

The function accepts the following arguments:

• ndims: `[in] int64_t` number of dimensions.
• shape: `[in] int64_t*` array shape.
`int64_t stdlib_ndarray_nonsingleton_dimensions( int64_t ndims, int64_t *shape );`

### Examples

```#include "stdlib/ndarray/base/nonsingleton_dimensions.h"
#include <stdio.h>
#include <inttypes.h>

int main( void ) {
int64_t shape[] = { 10, 3, 1, 1, 5 };

int64_t n = stdlib_ndarray_nonsingleton_dimensions( 5, shape );
printf( "shape: %"PRId64"x%"PRId64"x%"PRId64"x%"PRId64"x%"PRId64". non-singleton dimensions: %"PRId64"\n", shape[ 0 ], shape[ 1 ], shape[ 2 ], shape[ 3 ], shape[ 4 ], n );
}```

## 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.

## Package Sidebar

### Install

`npm i @stdlib/ndarray-base-nonsingleton-dimensions`

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