Update test.ndarray.js

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

Author: Kaushikgtm

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

@@ -119,13 +119,13 @@ tape( 'the function calculates the minimum value of a strided array according to
 	x = [ -0.0, 0.0, NaN, -0.0 ];
 	mask = [ 0, 0, 1, 0 ];
 	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
-	t.strictEqual( isNegativeZero( v ), false, 'returns expected value' );
+	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, 0, toAccessorArray( mask ), 1, 0 );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnan( v ), false, 'returns expected value' );
 
 	// Test case 5: Single NaN element, not masked out
 	x = [ NaN ];
@@ -137,13 +137,13 @@ tape( 'the function calculates the minimum value of a strided array according to
 	x = [ NaN ];
 	mask = [ 1 ];
 	v = nanmskmin( x.length, toAccessorArray( x ), 1, 0, toAccessorArray( mask ), 1, 0 );
-	t.strictEqual( isnan( v ), false, 'returns expected value' );
+	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, 0, toAccessorArray( mask ), 1, 0 );
-	t.strictEqual( isnan( v ), false, 'returns expected value' );
+	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 ];