@stdlib/ndarray-base-broadcast-scalar
v0.2.2
Published
Broadcast a scalar value to an ndarray having a specified shape.
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broadcastScalar
Broadcast a scalar value to an
ndarray
having a specified shape.
Installation
npm install @stdlib/ndarray-base-broadcast-scalar
Usage
var broadcastScalar = require( '@stdlib/ndarray-base-broadcast-scalar' );
broadcastScalar( value, dtype, shape, order )
Broadcast a scalar value to an ndarray
having a specified shape and data type.
var x = broadcastScalar( 1.0, 'float64', [ 2, 2 ], 'row-major' );
// returns <ndarray>
var sh = x.shape;
// returns [ 2, 2 ]
var dt = x.dtype;
// returns 'float64'
var v = x.get( 0, 0 );
// returns 1.0
Notes
- If
value
is a number anddtype
is a complex data type, the function returns anndarray
containing a complex number whose real component equals the provided scalarvalue
and whose imaginary component is zero. - The returned ndarray is a view on an ndarray data buffer containing a single element. The view is not contiguous. As more than one element of a returned view may refer to the same memory location, writing to the view may affect multiple elements. If you need to write to the returned ndarray, copy the ndarray before performing operations which may mutate elements.
- The returned ndarray is a "base" ndarray, and, thus, the returned ndarray does not perform bounds checking or afford any of the guarantees of the non-base ndarray constructor. The primary intent of this function is to broadcast a scalar value as an
ndarray
within internal implementations and to do so with minimal overhead.
Examples
var dtypes = require( '@stdlib/ndarray-dtypes' );
var broadcastScalar = require( '@stdlib/ndarray-base-broadcast-scalar' );
// Get a list of data types:
var dt = dtypes();
// Generate two-dimensional arrays...
var x;
var i;
for ( i = 0; i < dt.length; i++ ) {
x = broadcastScalar( i, dt[ i ], [ 2, 2 ], 'row-major' );
console.log( x.get( 0, 1 ) );
}
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.