bench: remove manual logic, use array packages

Author: gunjjoshi

lib/node_modules/@stdlib/_tools/scaffold/math-strided-real-typed-unary/data/README__md.txt

@@ -138,13 +138,14 @@ var y = new {{TYPED_ARRAY_CTOR}}( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
 
 ```javascript
 var random = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var {{TYPED_ARRAY_CTOR}} = require( '@stdlib/array/{{TYPED_ARRAY_DTYPE}}' );
 var {{ALIAS}} = require( '@{{PKG}}' );
 
 var x = random( 10, {{C_RAND_MIN}}, {{C_RAND_MAX}}, {
     'dtype': '{{TYPED_ARRAY_DTYPE}}'
 });
-var y = new {{TYPED_ARRAY_CTOR}}( 10 );
+var y = zeros( 10, '{{TYPED_ARRAY_DTYPE}}' );
 
 console.log( x );
 console.log( y );

lib/node_modules/@stdlib/_tools/scaffold/math-strided-real-typed-unary/data/benchmark/benchmark__js.txt

@@ -23,19 +23,15 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var random = require( '@stdlib/random/base/random' ).factory;
+var random = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var isnan{{C_TYPE_SUFFIX}} = require( '@stdlib/math/base/assert/is-nan{{C_TYPE_SUFFIX}}' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var {{TYPED_ARRAY_CTOR}} = require( '@stdlib/array/{{TYPED_ARRAY_DTYPE}}' );
 var pkg = require( './../package.json' ).name;
 var {{ALIAS}} = require( './../lib/main.js' );
 
 
-// VARIABLES //
-
-var rand = random( {{C_RAND_MIN}}, {{C_RAND_MAX}} );
-
-
 // FUNCTIONS //
 
 /**
@@ -50,11 +46,10 @@ function createBenchmark( len ) {
 	var y;
 	var i;
 
-	x = new {{TYPED_ARRAY_CTOR}}( len );
-	y = new {{TYPED_ARRAY_CTOR}}( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = rand();
-	}
+	x = random( len, {{C_RAND_MIN}}, {{C_RAND_MAX}}, {
+		'dtype': '{{TYPED_ARRAY_DTYPE}}'
+	});
+	y = zeros( len, '{{TYPED_ARRAY_DTYPE}}' );
 	return benchmark;
 
 	/**

lib/node_modules/@stdlib/_tools/scaffold/math-strided-real-typed-unary/data/benchmark/benchmark__native__js.txt

@@ -24,7 +24,8 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var random = require( '@stdlib/random/base/random' ).factory;
+var random = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var isnan{{C_TYPE_SUFFIX}} = require( '@stdlib/math/base/assert/is-nan{{C_TYPE_SUFFIX}}' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var {{TYPED_ARRAY_CTOR}} = require( '@stdlib/array/{{TYPED_ARRAY_DTYPE}}' );
@@ -38,7 +39,6 @@ var {{ALIAS}} = tryRequire( resolve( __dirname, './../lib/{{ALIAS_SNAKECASE}}.na
 var opts = {
 	'skip': ( {{ALIAS}} instanceof Error )
 };
-var rand = random( {{C_RAND_MIN}}, {{C_RAND_MAX}} );
 
 
 // FUNCTIONS //
@@ -55,11 +55,10 @@ function createBenchmark( len ) {
 	var y;
 	var i;
 
-	x = new {{TYPED_ARRAY_CTOR}}( len );
-	y = new {{TYPED_ARRAY_CTOR}}( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = rand();
-	}
+	x = random( len, {{C_RAND_MIN}}, {{C_RAND_MAX}}, {
+		'dtype': '{{TYPED_ARRAY_DTYPE}}'
+	});
+	y = zeros( len, '{{TYPED_ARRAY_DTYPE}}' );
 	return benchmark;
 
 	/**

lib/node_modules/@stdlib/_tools/scaffold/math-strided-real-typed-unary/data/benchmark/benchmark__ndarray__js.txt

@@ -23,19 +23,15 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var random = require( '@stdlib/random/base/random' ).factory;
+var random = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var isnan{{C_TYPE_SUFFIX}} = require( '@stdlib/math/base/assert/is-nan{{C_TYPE_SUFFIX}}' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var {{TYPED_ARRAY_CTOR}} = require( '@stdlib/array/{{TYPED_ARRAY_DTYPE}}' );
 var pkg = require( './../package.json' ).name;
 var {{ALIAS}} = require( './../lib/ndarray.js' );
 
 
-// VARIABLES //
-
-var rand = random( {{C_RAND_MIN}}, {{C_RAND_MAX}} );
-
-
 // FUNCTIONS //
 
 /**
@@ -50,11 +46,10 @@ function createBenchmark( len ) {
 	var y;
 	var i;
 
-	x = new {{TYPED_ARRAY_CTOR}}( len );
-	y = new {{TYPED_ARRAY_CTOR}}( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = rand();
-	}
+	x = random( len, {{C_RAND_MIN}}, {{C_RAND_MAX}}, {
+		'dtype': '{{TYPED_ARRAY_DTYPE}}'
+	});
+	y = zeros( len, '{{TYPED_ARRAY_DTYPE}}' );
 	return benchmark;
 
 	/**

lib/node_modules/@stdlib/_tools/scaffold/math-strided-real-typed-unary/data/benchmark/benchmark__ndarray__native__js.txt

@@ -24,7 +24,8 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var random = require( '@stdlib/random/base/random' ).factory;
+var random = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var isnan{{C_TYPE_SUFFIX}} = require( '@stdlib/math/base/assert/is-nan{{C_TYPE_SUFFIX}}' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var {{TYPED_ARRAY_CTOR}} = require( '@stdlib/array/{{TYPED_ARRAY_DTYPE}}' );
@@ -38,7 +39,6 @@ var {{ALIAS}} = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) )
 var opts = {
 	'skip': ( {{ALIAS}} instanceof Error )
 };
-var rand = random( {{C_RAND_MIN}}, {{C_RAND_MAX}} );
 
 
 // FUNCTIONS //
@@ -55,11 +55,10 @@ function createBenchmark( len ) {
 	var y;
 	var i;
 
-	x = new {{TYPED_ARRAY_CTOR}}( len );
-	y = new {{TYPED_ARRAY_CTOR}}( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = rand();
-	}
+	x = random( len, {{C_RAND_MIN}}, {{C_RAND_MAX}}, {
+		'dtype': '{{TYPED_ARRAY_DTYPE}}'
+	});
+	y = zeros( len, '{{TYPED_ARRAY_DTYPE}}' );
 	return benchmark;
 
 	/**