Update test.nanmax_by.js

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

Author: Kaushikgtm

lib/node_modules/@stdlib/stats/base/nanmax-by/test/test.nanmax_by.js

@@ -76,8 +76,7 @@ tape( 'the function calculates the maximum value of a strided array via a callba
 	v = nanmaxBy( x.length, x, 1, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	x = [];
-	x.length = 5; // sparse array
+	x = new Array( 5 ); // sparse array
 	v = nanmaxBy( x.length, x, 1, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
@@ -113,12 +112,11 @@ tape( 'the function calculates the maximum value of a strided array via a callba
 	v = nanmaxBy( x.length, toAccessorArray( x ), 1, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	x = []; // Sparse array
-	x.length = 5;
+	x = new Array( 5 ); // sparse array
 	v = nanmaxBy( x.length, toAccessorArray( x ), 1, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
-	x = new Array( 5 ).fill( undefined ); // sparse array
+	x = new Array( 5 ); // sparse array
 	x[ 2 ] = 1.0;
 	v = nanmaxBy( x.length, toAccessorArray( x ), 1, accessor );
 	t.strictEqual( v, 2.0, 'returns expected value' );
@@ -165,8 +163,7 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 	v = nanmaxBy( 1, x, 1, accessor );
 	t.strictEqual( v, 2.0, 'returns expected value' );
 
-	x = []; // Sparse array
-	x.length = 5;
+	x = new Array( 5 ); // sparse array;
 	v = nanmaxBy( 1, x, 1, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
@@ -182,8 +179,7 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 	v = nanmaxBy( 1, toAccessorArray( x ), 1, accessor );
 	t.strictEqual( v, 2.0, 'returns expected value' );
 
-	x = []; // Sparse array
-	x.length = 5;
+	x = new Array( 5 ); // sparse array
 	v = nanmaxBy( 1, toAccessorArray( x ), 1, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
@@ -299,8 +295,7 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 	v = nanmaxBy( x.length, x, 0, accessor );
 	t.strictEqual( v, 2.0, 'returns expected value' );
 
-	x = []; // Sparse array
-	x.length = 5;
+	x = new Array( 5 ); // sparse array
 	v = nanmaxBy( 1, x, 0, accessor );
 	t.strictEqual( isnan( v ), true, 'returns expected value' );