bench: update random value generation

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---

Author: anandkaranubc

lib/node_modules/@stdlib/math/base/special/fast/alpha-max-plus-beta-minf/benchmark/benchmark.js

@@ -21,8 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
-var ceilf = require( '@stdlib/math/base/special/ceilf' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
 var f32 = require( '@stdlib/number/float64/base/to-float32' );
 var pkg = require( './../package.json' ).name;
@@ -32,16 +32,21 @@ var ampbmf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, -50.0, 50.0, opts );
+	y = uniform( 100, -50.0, 50.0, opts );
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 50.0;
-		y = ( randu()*100.0 ) - 50.0;
-		h = ampbmf( f32( x ), f32( y ) );
+		h = ampbmf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -57,18 +62,22 @@ bench( pkg, function benchmark( b ) {
 
 bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=true,ints=false', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.5, true, false );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.5 ), true, false );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, 0.0, 100.0, opts );
+	y = uniform( 100, 0.0, 100.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 0.0;
-		y = ( randu()*100.0 ) - 0.0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -84,18 +93,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=true,ints=false', function b
 
 bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=true,ints=true', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.5, true, true );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.5 ), true, true );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = discreteUniform( 100, 0, 100, opts );
+	y = discreteUniform( 100, 0, 100, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ceilf( randu()*100.0 ) - 0;
-		y = ceilf( randu()*100.0 ) - 0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -111,18 +124,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=true,ints=true', function be
 
 bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=false,ints=false', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.5, false, false );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.5 ), false, false );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, -50.0, 50.0, opts );
+	y = uniform( 100, -50.0, 50.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 50.0;
-		y = ( randu()*100.0 ) - 50.0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -138,18 +155,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=false,ints=false', function
 
 bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=false,ints=true', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.5, false, true );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.5 ), false, true );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = discreteUniform( 100, -50, 50, opts );
+	y = discreteUniform( 100, -50, 50, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ceilf( randu()*100.0 ) - 50;
-		y = ceilf( randu()*100.0 ) - 50;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -165,18 +186,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.5,nonnegative=false,ints=true', function b
 
 bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=true,ints=false', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.25, true, false );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.25 ), true, false );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, 0.0, 100.0, opts );
+	y = uniform( 100, 0.0, 100.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 0.0;
-		y = ( randu()*100.0 ) - 0.0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -192,18 +217,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=true,ints=false', function
 
 bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=true,ints=true', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.25, true, true );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.25 ), true, true );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = discreteUniform( 100, 0, 100, opts );
+	y = discreteUniform( 100, 0, 100, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ceilf( randu()*100.0 ) - 0;
-		y = ceilf( randu()*100.0 ) - 0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -219,18 +248,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=true,ints=true', function b
 
 bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=false,ints=false', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.25, false, false );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.25 ), false, false );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, -50.0, 50.0, opts );
+	y = uniform( 100, -50.0, 50.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 50.0;
-		y = ( randu()*100.0 ) - 50.0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -246,18 +279,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=false,ints=false', function
 
 bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=false,ints=true', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 0.25, false, true );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( 0.25 ), false, true );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = discreteUniform( 100, -50, 50, opts );
+	y = discreteUniform( 100, -50, 50, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ceilf( randu()*100.0 ) - 50;
-		y = ceilf( randu()*100.0 ) - 50;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -273,18 +310,22 @@ bench( pkg+':factory:alpha=1.0,beta=0.25,nonnegative=false,ints=true', function
 
 bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=true,ints=false', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 3.0/8.0, true, false );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( f32(3.0)/f32(8.0) ), true, false );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, 0.0, 100.0, opts );
+	y = uniform( 100, 0.0, 100.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 0.0;
-		y = ( randu()*100.0 ) - 0.0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -300,18 +341,22 @@ bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=true,ints=false', function b
 
 bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=true,ints=true', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 3.0/8.0, true, true );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( f32(3.0)/f32(8.0) ), true, true );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = discreteUniform( 100, 0, 100, opts );
+	y = discreteUniform( 100, 0, 100, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ceilf( randu()*100.0 ) - 0;
-		y = ceilf( randu()*100.0 ) - 0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -327,18 +372,22 @@ bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=true,ints=true', function be
 
 bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=false,ints=false', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 3.0/8.0, false, false );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( f32(3.0)/f32(8.0) ), false, false );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, -50.0, 50.0, opts );
+	y = uniform( 100, -50.0, 50.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 50.0;
-		y = ( randu()*100.0 ) - 50.0;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -354,18 +403,22 @@ bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=false,ints=false', function
 
 bench( pkg+':factory:alpha=1.0,beta=3/8,nonnegative=false,ints=true', function benchmark( b ) {
 	var hypotf;
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
-	hypotf = ampbmf.factory( 1.0, 3.0/8.0, false, true );
+	hypotf = ampbmf.factory( f32( 1.0 ), f32( f32(3.0)/f32(8.0) ), false, true );
+	opts = {
+		'dtype': 'float32'
+	};
+	x = discreteUniform( 100, -50, 50, opts );
+	y = discreteUniform( 100, -50, 50, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ceilf( randu()*100.0 ) - 50;
-		y = ceilf( randu()*100.0 ) - 50;
-		h = hypotf( f32( x ), f32( y ) );
+		h = hypotf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/math/base/special/fast/alpha-max-plus-beta-minf/benchmark/benchmark.native.js

@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var f32 = require( '@stdlib/number/float64/base/to-float32' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -40,16 +39,21 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var opts;
 	var x;
 	var y;
 	var h;
 	var i;
 
+	opts = {
+		'dtype': 'float32'
+	};
+	x = uniform( 100, -50.0, 50.0, opts );
+	y = uniform( 100, -50.0, 50.0, opts );
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu() * 100.0 ) - 50.0;
-		y = ( randu() * 100.0 ) - 50.0;
-		h = ampbmf( f32( x ), f32( y ) );
+		h = ampbmf( x[ i%x.length ], y[ i%y.length ] );
 		if ( isnanf( h ) ) {
 			b.fail( 'should not return NaN' );
 		}