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Author: stdlib-bot

CHANGELOG.md

@@ -10,6 +10,7 @@
 
 ### Features
 
+-   [`bd39888`](https://github.com/stdlib-js/stdlib/commit/bd3988874fec8e11dcb2ea04afc3e9c2a45207e5) - add float16 dtype support to `array/nans-like` [(#14122)](https://github.com/stdlib-js/stdlib/pull/14122)
 -   [`0078b7e`](https://github.com/stdlib-js/stdlib/commit/0078b7ed60fc8040a9d11a6d1c4d94bc34e4df5a) - add float16 dtype support to `array/ones-like` [(#14124)](https://github.com/stdlib-js/stdlib/pull/14124)
 -   [`2e31902`](https://github.com/stdlib-js/stdlib/commit/2e31902b44dfa195f9caa5ece57b1649a000e47a) - add float16 dtype support to `array/ones` [(#14123)](https://github.com/stdlib-js/stdlib/pull/14123)
 -   [`4d0ce60`](https://github.com/stdlib-js/stdlib/commit/4d0ce60011997633aac407dbba435da1763a2550) - add float16 dtype support to `array/convert-same` [(#14126)](https://github.com/stdlib-js/stdlib/pull/14126)
@@ -88,6 +89,7 @@ This release closes the following issue:
 
 <details>
 
+-   [`bd39888`](https://github.com/stdlib-js/stdlib/commit/bd3988874fec8e11dcb2ea04afc3e9c2a45207e5) - **feat:** add float16 dtype support to `array/nans-like` [(#14122)](https://github.com/stdlib-js/stdlib/pull/14122) _(by Gururaj Gurram, Athan Reines)_
 -   [`e805b48`](https://github.com/stdlib-js/stdlib/commit/e805b48af03299edd06969a72e9bf03ccb344aa5) - **bench:** fix assignment operation _(by Athan Reines)_
 -   [`3fdf0b9`](https://github.com/stdlib-js/stdlib/commit/3fdf0b943c342271e5ee4b80d7bf30cb2b5de1e1) - **bench:** reassign variable _(by Athan Reines)_
 -   [`075283f`](https://github.com/stdlib-js/stdlib/commit/075283f8cdb22dd49286c6fa7ddc874b584af48d) - **bench:** reassign variable _(by Athan Reines)_

nans-like/README.md

@@ -55,6 +55,7 @@ The function supports the following data types:
 
 -   `float64`: double-precision floating-point numbers (IEEE 754)
 -   `float32`: single-precision floating-point numbers (IEEE 754)
+-   `float16`: half-precision floating-point numbers (IEEE 754)
 -   `complex128`: double-precision complex floating-point numbers
 -   `complex64`: single-precision complex floating-point numbers
 -   `generic`: generic JavaScript values

nans-like/benchmark/benchmark.js

@@ -97,6 +97,28 @@ bench( format( '%s:dtype=%s', pkg, 'float32' ), function benchmark( b ) {
 	b.end();
 });
 
+bench( format( '%s:dtype=%s', pkg, 'float16' ), function benchmark( b ) {
+	var arr;
+	var x;
+	var i;
+
+	x = empty( 0, 'float16' );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		arr = nansLike( x );
+		if ( arr.length !== 0 ) {
+			b.fail( 'should have length 0' );
+		}
+	}
+	b.toc();
+	if ( !isTypedArrayLike( arr ) ) {
+		b.fail( 'should return a typed array' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
 bench( format( '%s:dtype=%s', pkg, 'complex128' ), function benchmark( b ) {
 	var arr;
 	var x;

nans-like/benchmark/benchmark.length.float16.js

@@ -0,0 +1,96 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var isTypedArray = require( '@stdlib/assert/is-typed-array' );
+var empty = require( './../../empty' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var nansLike = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x = empty( len, 'float16' );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var arr;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			arr = nansLike( x );
+			if ( arr.length !== len ) {
+				b.fail( 'unexpected length' );
+			}
+		}
+		b.toc();
+		if ( !isTypedArray( arr ) ) {
+			b.fail( 'should return a typed array' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:dtype=%s,len=%d', pkg, 'float16', len ), f );
+	}
+}
+
+main();

nans-like/docs/repl.txt

@@ -7,6 +7,7 @@
 
     - float64: double-precision floating-point numbers (IEEE 754).
     - float32: single-precision floating-point numbers (IEEE 754).
+    - float16: half-precision floating-point numbers (IEEE 754).
     - complex128: double-precision complex floating-point numbers.
     - complex64: single-precision complex floating-point numbers.
     - generic: generic JavaScript values.

nans-like/docs/types/index.d.ts

@@ -20,7 +20,7 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { Complex128Array, Complex64Array, AnyArray, FloatingPointDataType } from '@stdlib/types/array';
+import { Complex128Array, Complex64Array, Float16Array, AnyArray, FloatingPointDataType } from '@stdlib/types/array';
 
 /**
 * Data type.
@@ -63,6 +63,24 @@ declare function nansLike( x: AnyArray, dtype: 'float64' ): Float64Array;
 */
 declare function nansLike( x: AnyArray, dtype: 'float32' ): Float32Array;
 
+/**
+* Creates an array filled with NaNs and having the same length as a provided input array.
+*
+* @param x - input array from which to derive the output array length
+* @param dtype - data type
+* @returns filled array
+*
+* @example
+* var zeros = require( '@stdlib/array/zeros' );
+*
+* var x = zeros( 2, 'float64' );
+* // returns <Float64Array>[ 0.0, 0.0 ]
+*
+* var y = nansLike( x, 'float16' );
+* // returns <Float16Array>[ NaN, NaN ]
+*/
+declare function nansLike( x: AnyArray, dtype: 'float16' ): Float16Array;
+
 /**
 * Creates an array filled with NaNs and having the same length as a provided input array.
 *
@@ -177,6 +195,33 @@ declare function nansLike( x: Float64Array, dtype?: DataType ): Float64Array;
 */
 declare function nansLike( x: Float32Array, dtype?: DataType ): Float32Array;
 
+/**
+* Creates an array filled with NaNs and having the same length and data type as a provided input array.
+*
+* The function supports the following data types:
+*
+* -   `float64`: double-precision floating-point numbers (IEEE 754)
+* -   `float32`: single-precision floating-point numbers (IEEE 754)
+* -   `float16`: half-precision floating-point numbers (IEEE 754)
+* -   `complex128`: double-precision complex floating-point numbers
+* -   `complex64`: single-precision complex floating-point numbers
+* -   `generic`: generic JavaScript values
+*
+* @param x - input array from which to derive the output array length
+* @param dtype - data type
+* @returns filled array
+*
+* @example
+* var zeros = require( '@stdlib/array/zeros' );
+*
+* var x = zeros( 2, 'float16' );
+* // returns <Float16Array>[ 0.0, 0.0 ]
+*
+* var y = nansLike( x );
+* // returns <Float16Array>[ NaN, NaN ]
+*/
+declare function nansLike( x: Float16Array, dtype?: DataType ): Float16Array;
+
 /**
 * Creates an array filled with NaNs and having the same length and data type as a provided input array.
 *

nans-like/docs/types/test.ts

@@ -18,6 +18,7 @@
 
 import Complex128Array = require( './../../../complex128' );
 import Complex64Array = require( './../../../complex64' );
+import Float16Array = require( './../../../float16' );
 import nansLike = require( './index' );
 
 
@@ -28,11 +29,13 @@ import nansLike = require( './index' );
 	nansLike( [ 0, 0 ] ); // $ExpectType number[]
 	nansLike( new Float64Array( [ 0, 0 ] ) ); // $ExpectType Float64Array
 	nansLike( new Float32Array( [ 0, 0 ] ) ); // $ExpectType Float32Array
+	nansLike( new Float16Array( [ 0, 0 ] ) ); // $ExpectType Float16ArrayFallback
 	nansLike( new Complex128Array( [ 0, 0 ] ) ); // $ExpectType Complex128Array
 	nansLike( new Complex64Array( [ 0, 0 ] ) ); // $ExpectType Complex64Array
 
 	nansLike( [ 0, 0 ], 'float64' ); // $ExpectType Float64Array
 	nansLike( [ 0, 0 ], 'float32' ); // $ExpectType Float32Array
+	nansLike( [ 0, 0 ], 'float16' ); // $ExpectType Float16ArrayFallback
 	nansLike( [ 0, 0 ], 'complex128' ); // $ExpectType Complex128Array
 	nansLike( [ 0, 0 ], 'complex64' ); // $ExpectType Complex64Array
 	nansLike( [ 0, 0 ], 'generic' ); // $ExpectType number[]

nans-like/package.json

@@ -63,6 +63,7 @@
     "matrix",
     "float64array",
     "float32array",
+    "float16array",
     "complex128array",
     "complex64array",
     "complex128",
@@ -77,6 +78,9 @@
     "float",
     "single-precision",
     "float32",
+    "half",
+    "half-precision",
+    "float16",
     "ieee754",
     "generic",
     "fill",

nans-like/test/test.js

@@ -23,8 +23,10 @@
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isnanf16 = require( '@stdlib/number/float16/base/assert/is-nan' );
 var Float64Array = require( './../../float64' );
 var Float32Array = require( './../../float32' );
+var Float16Array = require( './../../float16' );
 var Complex64Array = require( './../../complex64' );
 var Complex128Array = require( './../../complex128' );
 var reinterpret64 = require( '@stdlib/strided/base/reinterpret-complex64' );
@@ -202,6 +204,40 @@ tape( 'the function returns a NaN-filled array (dtype=float32)', function test(
 	t.end();
 });
 
+tape( 'the function returns a NaN-filled array (float16)', function test( t ) {
+	var arr;
+	var x;
+	var i;
+
+	x = new Float16Array( 5 );
+
+	arr = nansLike( x );
+	t.strictEqual( instanceOf( arr, Float16Array ), true, 'returns expected value' );
+	t.strictEqual( arr.length, x.length, 'returns expected value' );
+
+	for ( i = 0; i < arr.length; i++ ) {
+		t.strictEqual( isnanf16( arr[ i ] ), true, 'returns expected value for element '+i );
+	}
+	t.end();
+});
+
+tape( 'the function returns a NaN-filled array (dtype=float16)', function test( t ) {
+	var arr;
+	var x;
+	var i;
+
+	x = new Float64Array( 5 );
+
+	arr = nansLike( x, 'float16' );
+	t.strictEqual( instanceOf( arr, Float16Array ), true, 'returns expected value' );
+	t.strictEqual( arr.length, x.length, 'returns expected value' );
+
+	for ( i = 0; i < arr.length; i++ ) {
+		t.strictEqual( isnanf16( arr[ i ] ), true, 'returns expected value for element '+i );
+	}
+	t.end();
+});
+
 tape( 'the function returns a NaN-filled array (complex128)', function test( t ) {
 	var arr;
 	var x;