Update test.ndarray.js

Signed-off-by: Kaushikgtm <[email protected]>

Author: Kaushikgtm

lib/node_modules/@stdlib/stats/base/nanminabs/test/test.ndarray.js

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 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.
@@ -25,71 +25,71 @@ var floor = require( '@stdlib/math/base/special/floor' );
 var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
-var nanminabs = require( './../lib/ndarray.js' );
+var nanmaxabs = require( './../lib/ndarray.js' );
 
 
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof nanminabs, 'function', 'main export is a function' );
+	t.strictEqual( typeof nanmaxabs, 'function', 'main export is a function' );
 	t.end();
 });
 
 tape( 'the function has an arity of 4', function test( t ) {
-	t.strictEqual( nanminabs.length, 4, 'has expected arity' );
+	t.strictEqual( nanmaxabs.length, 4, 'has expected arity' );
 	t.end();
 });
 
-tape( 'the function calculates the minimum absolute value of a strided array', function test( t ) {
+tape( 'the function calculates the maximum absolute value of a strided array', function test( t ) {
 	var x;
 	var v;
 
 	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( v, 0.0, 'returns expected value' );
+	v = nanmaxabs( x.length, x, 1, 0 );
+	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = [ -4.0, NaN, -5.0 ];
-	v = nanminabs( x.length, x, 1, 0 );
-	t.strictEqual( v, 4.0, 'returns expected value' );
+	v = nanmaxabs( x.length, x, 1, 0 );
+	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = [ 0.0, -0.0, NaN, 0.0 ];
-	v = nanminabs( x.length, x, 1, 0 );
+	v = nanmaxabs( x.length, x, 1, 0 );
 	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
 
 	x = [ NaN ];
-	v = nanminabs( x.length, x, 1, 0 );
+	v = nanmaxabs( x.length, x, 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	x = [ NaN, NaN ];
-	v = nanminabs( x.length, x, 1, 0 );
+	v = nanmaxabs( x.length, x, 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'the function calculates the minimum absolute value of a strided array (accessors)', function test( t ) {
+tape( 'the function calculates the maximum absolute value of a strided array (accessors)', function test( t ) {
 	var x;
 	var v;
 
 	x = [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ];
-	v = nanminabs( x.length, toAccessorArray( x ), 1, 0 );
-	t.strictEqual( v, 0.0, 'returns expected value' );
+	v = nanmaxabs( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = [ -4.0, NaN, -5.0 ];
-	v = nanminabs( x.length, toAccessorArray( x ), 1, 0 );
-	t.strictEqual( v, 4.0, 'returns expected value' );
+	v = nanmaxabs( x.length, toAccessorArray( x ), 1, 0 );
+	t.strictEqual( v, 5.0, 'returns expected value' );
 
 	x = [ 0.0, -0.0, NaN, 0.0 ];
-	v = nanminabs( x.length, toAccessorArray( x ), 1, 0 );
+	v = nanmaxabs( x.length, toAccessorArray( x ), 1, 0 );
 	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
 
 	x = [ NaN ];
-	v = nanminabs( x.length, toAccessorArray( x ), 1, 0 );
+	v = nanmaxabs( x.length, toAccessorArray( x ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	x = [ NaN, NaN ];
-	v = nanminabs( x.length, toAccessorArray( x ), 1, 0 );
+	v = nanmaxabs( x.length, toAccessorArray( x ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	t.end();
@@ -101,10 +101,10 @@ tape( 'if provided an `N` parameter less than or equal to `0`, the function retu
 
 	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
 
-	v = nanminabs( 0, x, 1, 0 );
+	v = nanmaxabs( 0, x, 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	v = nanminabs( -1, x, 1, 0 );
+	v = nanmaxabs( -1, x, 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	t.end();
@@ -116,7 +116,7 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
 
-	v = nanminabs( 1, x, 1, 0 );
+	v = nanmaxabs( 1, x, 1, 0 );
 	t.strictEqual( v, 1.0, 'returns expected value' );
 
 	t.end();
@@ -141,9 +141,9 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 	];
 
 	N = floor( x.length / 2 );
-	v = nanminabs( N, x, 2, 0 );
+	v = nanmaxabs( N, x, 2, 0 );
 
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	t.strictEqual( v, 4.0, 'returns expected value' );
 	t.end();
 });
 
@@ -166,9 +166,9 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 	];
 
 	N = floor( x.length / 2 );
-	v = nanminabs( N, x, -2, 8 );
+	v = nanmaxabs( N, x, -2, 8 );
 
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	t.strictEqual( v, 4.0, 'returns expected value' );
 	t.end();
 });
 
@@ -191,9 +191,9 @@ tape( 'the function supports a negative `stride` parameter (accessors)', functio
 	];
 
 	N = floor( x.length / 2 );
-	v = nanminabs( N, toAccessorArray( x ), -2, 8 );
+	v = nanmaxabs( N, toAccessorArray( x ), -2, 8 );
 
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	t.strictEqual( v, 4.0, 'returns expected value' );
 	t.end();
 });
 
@@ -203,7 +203,7 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 
 	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
 
-	v = nanminabs( x.length, x, 0, 0 );
+	v = nanmaxabs( x.length, x, 0, 0 );
 	t.strictEqual( v, 1.0, 'returns expected value' );
 
 	t.end();
@@ -228,8 +228,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 	];
 	N = floor( x.length / 2 );
 
-	v = nanminabs( N, x, 2, 1 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	v = nanmaxabs( N, x, 2, 1 );
+	t.strictEqual( v, 4.0, 'returns expected value' );
 
 	t.end();
 });
@@ -253,8 +253,8 @@ tape( 'the function supports an `offset` parameter (accessors)', function test(
 	];
 	N = floor( x.length / 2 );
 
-	v = nanminabs( N, toAccessorArray( x ), 2, 1 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
+	v = nanmaxabs( N, toAccessorArray( x ), 2, 1 );
+	t.strictEqual( v, 4.0, 'returns expected value' );
 
 	t.end();
 });