@stdlib/ndarray-base-singleton-dimensions
v0.2.2
Published
Return the number of singleton dimensions.
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Singleton Dimensions
Return the number of singleton dimensions.
Installation
npm install @stdlib/ndarray-base-singleton-dimensions
Usage
var singletonDimensions = require( '@stdlib/ndarray-base-singleton-dimensions' );
singletonDimensions( shape )
Returns the number of singleton dimensions.
var n = singletonDimensions( [ 3, 1, 3 ] );
// returns 1
Notes
- A singleton dimension is a dimension whose size is equal to
1
.
Examples
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var singletonDimensions = require( '@stdlib/ndarray-base-singleton-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 = singletonDimensions( shape );
console.log( 'shape: %s. singleton dimensions: %d.', shape.join( 'x' ), n );
}
C APIs
Usage
#include "stdlib/ndarray/base/singleton_dimensions.h"
stdlib_ndarray_singleton_dimensions( ndims, *shape )
Returns the number of singleton dimensions.
int64_t ndims = 2;
int64_t shape[] = { 10, 1 };
int64_t n = stdlib_ndarray_singleton_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_singleton_dimensions( int64_t ndims, int64_t *shape );
Examples
#include "stdlib/ndarray/base/singleton_dimensions.h"
#include <stdio.h>
#include <inttypes.h>
int main( void ) {
int64_t shape[] = { 10, 3, 1, 1, 5 };
int64_t n = stdlib_ndarray_singleton_dimensions( 5, shape );
printf( "shape: %"PRId64"x%"PRId64"x%"PRId64"x%"PRId64"x%"PRId64". 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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.