docs: use Float64Array

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

Author: kgryte

lib/node_modules/@stdlib/blas/ext/base/wasm/dnansumkbn2/README.md

@@ -142,6 +142,7 @@ Computes the sum of double-precision floating-point strided array elements, igno
 <!-- eslint-disable node/no-sync -->
 
 ```javascript
+var Float64Array = require( '@stdlib/array/float64' );
 var Memory = require( '@stdlib/wasm/memory' );
 
 // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB):
@@ -164,7 +165,7 @@ var N = 4;
 var xptr = 0;
 
 // Write vector values to module memory:
-mod.write( xptr, [ 1.0, 2.0, 3.0, NaN ] );
+mod.write( xptr, new Float64Array( [ 1.0, 2.0, 3.0, NaN ] ) );
 
 // Perform computation:
 var sum = mod.main( N, xptr, 1 );
@@ -184,6 +185,7 @@ Computes the sum of double-precision floating-point strided array elements, igno
 <!-- eslint-disable node/no-sync -->
 
 ```javascript
+var Float64Array = require( '@stdlib/array/float64' );
 var Memory = require( '@stdlib/wasm/memory' );
 
 // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB):
@@ -206,7 +208,7 @@ var N = 4;
 var xptr = 0;
 
 // Write vector values to module memory:
-mod.write( xptr, [ 1.0, 2.0, 3.0, NaN ] );
+mod.write( xptr, new Float64Array( [ 1.0, 2.0, 3.0, NaN ] ) );
 
 // Perform computation:
 var sum = mod.ndarray( N, xptr, 1, 0 );