Auto-generated commit

base/dasum/src/addon.c

@@ -39,7 +39,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 
 	napi_value v;
-	napi_status status = napi_create_double( env, c_dasum( N, (double *)X, strideX ), &v );
+	napi_status status = napi_create_double( env, c_dasum( N, X, strideX ), &v );
 	assert( status == napi_ok );
 
 	return v;

base/dcopy/src/addon.c

@@ -38,7 +38,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
-	c_dcopy( N, (double *)X, strideX, (double *)Y, strideY );
+	c_dcopy( N, X, strideX, Y, strideY );
 	return NULL;
 }
 

base/ddot/src/addon.c

@@ -41,7 +41,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
 
 	napi_value v;
-	napi_status status = napi_create_double( env, c_ddot( N, (double *)X, strideX, (double *)Y, strideY ), &v );
+	napi_status status = napi_create_double( env, c_ddot( N, X, strideX, Y, strideY ), &v );
 		assert( status == napi_ok );
 
 	return v;

base/dnrm2/manifest.json

@@ -162,12 +162,7 @@
         "-m"
       ],
       "libpath": [],
-      "dependencies": [
-        "@stdlib/napi/export",
-        "@stdlib/napi/argv",
-        "@stdlib/napi/argv-int64",
-        "@stdlib/napi/argv-strided-float64array"
-      ]
+      "dependencies": []
     }
   ]
 }

base/dnrm2/src/addon.c

@@ -39,7 +39,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 
 	napi_value v;
-	napi_status status = napi_create_double( env, c_dnrm2( N, (double *)X, strideX ), &v );
+	napi_status status = napi_create_double( env, c_dnrm2( N, X, strideX ), &v );
 	assert( status == napi_ok );
 
 	return v;

base/dscal/README.md

@@ -54,31 +54,26 @@ The `N` and `stride` parameters determine which elements in `x` are accessed at
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
 
-var N = floor( x.length / 2 );
-
-dscal( N, 5.0, x, 2 );
+dscal( 4, 5.0, x, 2 );
 // x => <Float64Array>[ -10.0, 1.0, 15.0, -5.0, 20.0, 0.0, -5.0, -3.0 ]
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 // Initial array...
 var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
 
 // Create an offset view...
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-var N = 3;
 
 // Scale every other value...
-dscal( N, 5.0, x1, 2 );
+dscal( 3, 5.0, x1, 2 );
 // x0 => <Float64Array>[ 1.0, -10.0, 3.0, -20.0, 5.0, -30.0 ]
 ```
 
@@ -134,27 +129,11 @@ dscal.ndarray( 3, 5.0, x, 1, x.length-3 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var round = require( '@stdlib/math/base/special/round' );
-var randu = require( '@stdlib/random/base/randu' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var dscal = require( '@stdlib/blas/base/dscal' );
 
-var rand;
-var sign;
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    rand = round( randu()*100.0 );
-    sign = randu();
-    if ( sign < 0.5 ) {
-        sign = -1.0;
-    } else {
-        sign = 1.0;
-    }
-    x[ i ] = sign * rand;
-}
+var x = filledarrayBy( 10, 'float64', discreteUniform( -100, 100 ) );
 console.log( x );
 
 dscal( x.length, 5.0, x, 1 );

base/dscal/benchmark/benchmark.js

@@ -21,14 +21,19 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dscal = require( './../lib/dscal.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -100.0, 100.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +44,7 @@ var dscal = require( './../lib/dscal.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {

base/dscal/benchmark/benchmark.native.js

@@ -22,10 +22,10 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +36,7 @@ var dscal = tryRequire( resolve( __dirname, './../lib/dscal.native.js' ) );
 var opts = {
 	'skip': ( dscal instanceof Error )
 };
+var rand = uniform( -100.0, 100.0 );
 
 
 // FUNCTIONS //
@@ -48,13 +49,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*10.0 ) - 20.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {

base/dscal/benchmark/benchmark.ndarray.js

@@ -21,14 +21,19 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dscal = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -100.0, 100.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +44,7 @@ var dscal = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {

base/dscal/benchmark/benchmark.ndarray.native.js

@@ -22,10 +22,10 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +36,7 @@ var dscal = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dscal instanceof Error )
 };
+var rand = uniform( -100.0, 100.0 );
 
 
 // FUNCTIONS //
@@ -48,13 +49,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {

base/dscal/docs/repl.txt

@@ -34,29 +34,23 @@
     --------
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, -3.0 ] );
-    > var alpha = 5.0;
-    > {{alias}}( x.length, alpha, x, 1 )
+    > {{alias}}( x.length, 5.0, x, 1 )
     <Float64Array>[ -10.0, 5.0, 15.0, -25.0, 20.0, -5.0, -15.0 ]
 
     // Using `N` and `stride` parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, -3.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > alpha = 5.0;
-    > var stride = 2;
-    > {{alias}}( N, alpha, x, stride )
+    > {{alias}}( 3, 5.0, x, 2 )
     <Float64Array>[ -10.0, 1.0, 15.0, -5.0, 20.0, -1.0, -3.0 ]
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > alpha = 5.0;
-    > stride = 2;
-    > {{alias}}( N, alpha, x1, stride )
+    > {{alias}}( 3, 5.0, x1, 2 )
     <Float64Array>[ -10.0, 3.0, -20.0, 5.0, -30.0 ]
     > x0
     <Float64Array>[ 1.0, -10.0, 3.0, -20.0, 5.0, -30.0 ]
 
+
 {{alias}}.ndarray( N, alpha, x, stride, offset )
     Multiplies a double-precision floating-point vector `x` by a constant
     `alpha` using alternative indexing semantics.
@@ -91,16 +85,12 @@
     --------
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 3.0, -5.0, 4.0, -1.0, -3.0 ] );
-    > var alpha = 5.0;
-    > {{alias}}.ndarray( x.length, alpha, x, 1, 0 )
+    > {{alias}}.ndarray( x.length, 5.0, x, 1, 0 )
     <Float64Array>[ -10.0, 5.0, 15.0, -25.0, 20.0, -5.0, -15.0 ]
 
     // Using an index offset:
     > x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > alpha = 5.0;
-    > var stride = 2;
-    > {{alias}}.ndarray( N, alpha, x, stride, 1 )
+    > {{alias}}.ndarray( 3, 5.0, x, 2, 1 )
     <Float64Array>[ 1.0, -10.0, 3.0, -20.0, 5.0, -30.0 ]
 
     See Also

base/dscal/docs/types/index.d.ts

@@ -29,7 +29,7 @@ interface Routine {
 	* @param alpha - constant
 	* @param x - input array
 	* @param stride - stride length
-	* @returns `y`
+	* @returns input array
 	*
 	* @example
 	* var Float64Array = require( `@stdlib/array/float64` );
@@ -49,7 +49,7 @@ interface Routine {
 	* @param x - input array
 	* @param stride - stride length
 	* @param offset - starting index
-	* @returns `x`
+	* @returns input array
 	*
 	* @example
 	* var Float64Array = require( `@stdlib/array/float64` );
@@ -69,7 +69,7 @@ interface Routine {
 * @param alpha - constant
 * @param x - input array
 * @param stride - stride length
-* @returns `x`
+* @returns input array
 *
 * @example
 * var Float64Array = require( `@stdlib/array/float64` );

base/dscal/examples/c/example.c

@@ -24,10 +24,10 @@ int main( void ) {
 	double x[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };
 
 	// Specify the number of elements:
-	int N = 8;
+	const int N = 8;
 
 	// Specify a stride:
-	int strideX = 1;
+	const int strideX = 1;
 
 	// Scale the vector:
 	c_dscal( N, 5.0, x, strideX );

base/dscal/examples/index.js

@@ -18,27 +18,11 @@
 
 'use strict';
 
-var round = require( '@stdlib/math/base/special/round' );
-var randu = require( '@stdlib/random/base/randu' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var dscal = require( './../lib' );
 
-var rand;
-var sign;
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	rand = round( randu()*100.0 );
-	sign = randu();
-	if ( sign < 0.5 ) {
-		sign = -1.0;
-	} else {
-		sign = 1.0;
-	}
-	x[ i ] = sign * rand;
-}
+var x = filledarrayBy( 10, 'float64', discreteUniform( -100, 100 ) );
 console.log( x );
 
 dscal( x.length, 5.0, x, 1 );

base/dscal/include.gypi

@@ -52,7 +52,7 @@
 
     # Source files:
     'src_files': [
-      '<(src_dir)/addon.cpp',
+      '<(src_dir)/addon.c',
       '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{\'os\':\'<(OS)\',\'blas\':\'<(blas)\'},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
     ],