# emptyLike
> Create an uninitialized ndarray having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided ndarray.
## Usage
```javascript
var emptyLike = require( '@stdlib/ndarray/base/empty-like' );
```
#### emptyLike( x )
Creates an uninitialized ndarray having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided ndarray.
```javascript
var getShape = require( '@stdlib/ndarray/shape' );
var zeros = require( '@stdlib/ndarray/base/zeros' );
var x = zeros( 'float64', [ 2, 2 ], 'row-major' );
// returns
var y = emptyLike( x );
// returns
var sh = getShape( y );
// returns [ 2, 2 ]
```
## Notes
- 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][@stdlib/ndarray/base/ctor], the function returns a base [ndarray][@stdlib/ndarray/base/ctor]. If provided a non-base [ndarray][@stdlib/ndarray/ctor], the function returns a non-base [ndarray][@stdlib/ndarray/ctor].
- 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.
## Examples
```javascript
var dtypes = require( '@stdlib/ndarray/dtypes' );
var empty = require( '@stdlib/ndarray/base/empty' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var emptyLike = require( '@stdlib/ndarray/base/empty-like' );
// Get a list of data types:
var dt = dtypes( 'integer_and_generic' );
// 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( ndarray2array( y ) );
}
```
[@stdlib/ndarray/base/ctor]: https://github.com/stdlib-js/ndarray/tree/main/base/ctor
[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray/tree/main/ctor
[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/ndarray/tree/main/dtypes