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Create an uninitialized ndarray having the same shape and data type as a provided ndarray.
npm install @stdlib/ndarray-base-empty-like
var emptyLike = require( '@stdlib/ndarray-base-empty-like' );
Creates an uninitialized ndarray having the same shape and data type as a provided ndarray.
var zeros = require( '@stdlib/ndarray-base-zeros' );
var x = zeros( 'float64', [ 2, 2 ], 'row-major' );
// returns <ndarray>
var y = emptyLike( x );
// returns <ndarray>
var sh = y.shape;
// returns [ 2, 2 ]
- Along with data type, shape, and order, the function infers the "class" of the returned ndarray from the provided ndarray. For example, if provided a "base" ndarray, the function returns a base ndarray. If provided a non-base ndarray, the function returns a non-base ndarray.
- If the inferred output ndarray data type is
'generic'
, the function always returns a zero-filled ndarray. - For returned ndarrays whose underlying memory is not initialized, memory contents are unknown and may contain sensitive data.
var dtypes = require( '@stdlib/ndarray-dtypes' );
var empty = require( '@stdlib/ndarray-base-empty' );
var emptyLike = require( '@stdlib/ndarray-base-empty-like' );
// Get a list of data types:
var dt = dtypes();
// Generate uninitialized arrays...
var x;
var y;
var i;
for ( i = 0; i < dt.length; i++ ) {
x = empty( dt[ i ], [ 2, 2 ], 'row-major' );
y = emptyLike( x );
console.log( y.data );
}
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.
See LICENSE.
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