Update test.ndarray.js

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

Author: Kaushikgtm

lib/node_modules/@stdlib/stats/base/nanmskmin/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.
@@ -106,61 +106,61 @@ tape( 'the function calculates the minimum value of a strided array according to
 	// Test case 1: Mixed values with NaN and masking
 	x = [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ];
 	mask = [ 0, 0, 0, 1, 0, 0, 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( v, -4.0, 'returns expected value' );
 
 	// Test case 2: NaN is masked out
 	x = [ -4.0, NaN, -5.0 ];
 	mask = [ 0, 1, 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( v, -5.0, 'returns expected value' );
 
 	// Test case 3: Handling -0.0 and 0.0
 	x = [ -0.0, 0.0, NaN, -0.0 ];
 	mask = [ 0, 0, 1, 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isNegativeZero( v ), true, 'returns expected value' );
 
 	// Test case 4: NaN is not masked out
 	x = [ -4.0, 0.0, NaN, 5.0 ];
 	mask = [ 0, 0, 0, 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	// Test case 5: Single NaN element, not masked out
 	x = [ NaN ];
 	mask = [ 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	// Test case 6: Single NaN element, masked out
 	x = [ NaN ];
 	mask = [ 1 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	// Test case 7: All elements are NaN and masked out
 	x = [ NaN, NaN ];
 	mask = [ 1, 1 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	// Test case 8: First element is NaN and masked out, second is NaN and not masked out
 	x = [ NaN, NaN ];
 	mask = [ 1, 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	// Test case 9: First element is NaN and not masked out, second is NaN and masked out
 	x = [ NaN, NaN ];
 	mask = [ 0, 1 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	// Test case 10: All elements are NaN and not masked out
 	x = [ NaN, NaN ];
 	mask = [ 0, 0 ];
-	v = nanmskmin( x.length, toAccessorArray( x ), 1, toAccessorArray( mask ), 1 );
+	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	t.end();