chore: address follow-up review findings for commits merged to develop on 2026-05-31

lib/node_modules/@stdlib/blas/base/ndarray/docs/types/index.d.ts

@@ -677,7 +677,7 @@ interface Namespace {
 	* var x = new Float64Vector( [ 1.0, -2.0, 3.0, -4.0, 5.0 ] );
 	*
 	* var y = ns.idamax( [ x ] );
-	* // returns 4.0
+	* // returns 4
 	*/
 	idamax: typeof idamax;
 
@@ -721,7 +721,7 @@ interface Namespace {
 	* var x = new Float32Vector( [ 1.0, -2.0, 3.0, -4.0, 5.0 ] );
 	*
 	* var y = ns.isamax( [ x ] );
-	* // returns 4.0
+	* // returns 4
 	*/
 	isamax: typeof isamax;
 

lib/node_modules/@stdlib/blas/base/ndarray/igamax/lib/index.js

@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* BLAS level 1 routine to Find the index of the first element having the maximum absolute value for all elements in a one-dimensional ndarray.
+* BLAS level 1 routine to find the index of the first element having the maximum absolute value for all elements in a one-dimensional ndarray.
 *
 * @module @stdlib/blas/base/ndarray/igamax
 *

lib/node_modules/@stdlib/blas/base/ndarray/isamax/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var uniform = require( '@stdlib/random/uniform' );
-var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
@@ -62,12 +62,12 @@ function createBenchmark( len ) {
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
 			z = isamax( [ x ] );
-			if ( isnanf( z ) ) {
+			if ( isnan( z ) ) {
 				b.fail( 'should not return NaN' );
 			}
 		}
 		b.toc();
-		if ( isnanf( z ) ) {
+		if ( isnan( z ) ) {
 			b.fail( 'should not return NaN' );
 		}
 		b.pass( 'benchmark finished' );

lib/node_modules/@stdlib/blas/base/ndarray/isamax/docs/types/index.d.ts

@@ -40,7 +40,7 @@ import { float32ndarray } from '@stdlib/types/ndarray';
 * var x = new Float32Vector( [ 1.0, -2.0, 3.0, -4.0, 5.0 ] );
 *
 * var y = isamax( [ x ] );
-* // returns 4.0
+* // returns 4
 */
 declare function isamax( arrays: [ float32ndarray ] ): number;
 

lib/node_modules/@stdlib/fft/base/fftpack/rffti/lib/main.js

@@ -158,7 +158,7 @@ function rffti( N, workspace, strideW, offsetW ) {
 
 	// When a sub-sequence is a single data point, the FFT is the identity, so no initialization necessary...
 	if ( N === 1 ) {
-		return;
+		return workspace;
 	}
 	// Resolve the starting indices for storing twiddle factors and factorization results:
 	offsetT = offsetW + ( N*strideW ); // index offset for twiddle factors