refactor(stats/base/dists/studentized-range): optimize RNG in benchmarks (stdlib-js#4987)

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Author: stdlib-bot

lib/node_modules/@stdlib/blas/ext/base/gapxsumkbn/README.md

@@ -160,9 +160,9 @@ console.log( v );
 ## See Also
 
 -   <span class="package-name">[`@stdlib/blas/ext/base/dapxsumkbn`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
--   <span class="package-name">[`@stdlib/blas/ext/base/gapxsum`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a constant to each strided array element and compute the sum.</span>
+-   <span class="package-name">[`@stdlib/blas/ext/base/gapxsum`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum.</span>
 -   <span class="package-name">[`@stdlib/blas/ext/base/gsumkbn`][@stdlib/blas/ext/base/gsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.</span>
--   <span class="package-name">[`@stdlib/blas/ext/base/sapxsumkbn`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
+-   <span class="package-name">[`@stdlib/blas/ext/base/sapxsumkbn`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
 
 </section>
 

lib/node_modules/@stdlib/math/base/special/deg2radf/README.md

@@ -168,6 +168,7 @@ int main( void ) {
 ## See Also
 
 -   <span class="package-name">[`@stdlib/math/base/special/deg2rad`][@stdlib/math/base/special/deg2rad]</span><span class="delimiter">: </span><span class="description">convert an angle from degrees to radians.</span>
+-   <span class="package-name">[`@stdlib/math/base/special/rad2degf`][@stdlib/math/base/special/rad2degf]</span><span class="delimiter">: </span><span class="description">convert an angle from radians to degrees (single-precision).</span>
 
 </section>
 
@@ -181,6 +182,8 @@ int main( void ) {
 
 [@stdlib/math/base/special/deg2rad]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/deg2rad
 
+[@stdlib/math/base/special/rad2degf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/rad2degf
+
 <!-- </related-links> -->
 
 </section>

lib/node_modules/@stdlib/stats/base/dists/studentized-range/cdf/benchmark/benchmark.js

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
@@ -30,18 +31,26 @@ var cdf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var v;
 	var r;
 	var q;
 	var y;
 	var i;
 
+	len = 100;
+	q = new Float64Array( len );
+	r = new Float64Array( len );
+	v = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		q[ i ] = uniform( 0, 12.0 );
+		r[ i ] = uniform( 2.0, 22.0 );
+		v[ i ] = uniform( 2.0, 22.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		q = randu() * 12.0;
-		r = ( randu()*20.0 ) + 2.0;
-		v = ( randu()*20.0 ) + 2.0;
-		y = cdf( q, r, v );
+		y = cdf( q[ i % len ], r[ i % len ], v[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -56,6 +65,7 @@ bench( pkg, function benchmark( b ) {
 
 bench( pkg+':factory', function benchmark( b ) {
 	var mycdf;
+	var len;
 	var r;
 	var q;
 	var v;
@@ -65,11 +75,15 @@ bench( pkg+':factory', function benchmark( b ) {
 	v = 5.0;
 	r = 3.0;
 	mycdf = cdf.factory( v, r );
+	len = 100;
+	q = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		q[ i ] = uniform( 0, 1.0 );
+	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		q = randu();
-		y = mycdf( q );
+		y = mycdf( q[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/studentized-range/quantile/benchmark/benchmark.js

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var quantile = require( './../lib' );
@@ -30,18 +31,24 @@ var quantile = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var v;
 	var r;
 	var p;
 	var y;
 	var i;
-
+	len = 100;
+	p = new Float64Array( len );
+	r = new Float64Array( len );
+	v = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+		r[ i ] = uniform( 2.0, 22.0 );
+		v[ i ] = uniform( 2.0, 22.0 );
+	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
-		r = ( randu()*20.0 ) + 2.0;
-		v = ( randu()*20.0 ) + 2.0;
-		y = quantile( p, r, v );
+		y = quantile( p[ i % len ], r[ i % len ], v[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -56,6 +63,7 @@ bench( pkg, function benchmark( b ) {
 
 bench( pkg+':factory', function benchmark( b ) {
 	var myquantile;
+	var len;
 	var r;
 	var p;
 	var v;
@@ -65,11 +73,14 @@ bench( pkg+':factory', function benchmark( b ) {
 	v = 5.0;
 	r = 3.0;
 	myquantile = quantile.factory( v, r );
-
+	len = 100;
+	p = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		p[ i ] = uniform( 0.0, 1.0 );
+	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
-		y = myquantile( p );
+		y = myquantile( p[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}