refactor: update add-on, examples, benchmarks, and docs

This commit is part of the work discussed in #788 and updates `@stdlib/blas/base/sdot` according to current project conventions, particularly as concerns the native add-on bridge between JavaScript and C. PR-URL: #798 Co-authored-by: Athan Reines <kgryte@gmail.com> Reviewed-by: Athan Reines <kgryte@gmail.com>
stdlib-js · Mar 1, 2023 · 663577c · 663577c
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diff --git a/lib/node_modules/@stdlib/blas/base/sdot/README.md b/lib/node_modules/@stdlib/blas/base/sdot/README.md
@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2019 The Stdlib Authors.
+Copyright (c) 2023 The Stdlib Authors.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -69,18 +69,15 @@ The function has the following parameters:
 -   **y**: input [`Float32Array`][@stdlib/array/float32].
 -   **strideY**: index increment for `y`.
 
-The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to calculate the dot product of every other value in `x` and the first `N` elements of `y` in reverse order,
+The `N` and stride parameters determine which elements in `x` and `y` are accessed at runtime. For example, to calculate the dot product of every other value in `x` and the first `N` elements of `y` in reverse order,
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var y = new Float32Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
 
-var N = floor( x.length / 2 );
-
-var z = sdot( N, x, 2, y, -1 );
+var z = sdot( 3, x, 2, y, -1 );
 // returns 9.0
 ```
 
@@ -90,7 +87,6 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 // Initial arrays...
 var x0 = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
@@ -100,9 +96,7 @@ var y0 = new Float32Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 var y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
 
-var N = floor( x0.length / 2 );
-
-var z = sdot( N, x1, -2, y1, 1 );
+var z = sdot( 3, x1, -2, y1, 1 );
 // returns 128.0
 ```
 
@@ -125,18 +119,15 @@ The function has the following additional parameters:
 -   **offsetX**: starting index for `x`.
 -   **offsetY**: starting index for `y`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offsetX` and `offsetY` parameters support indexing semantics based on starting indices. For example, to calculate the dot product of every other value in `x` starting from the second value with the last 3 elements in `y` in reverse order
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the offset parameters support indexing semantics based on starting indices. For example, to calculate the dot product of every other value in `x` starting from the second value with the last 3 elements in `y` in reverse order
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
 var y = new Float32Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
 
-var N = floor( x.length / 2 );
-
-var z = sdot.ndarray( N, x, 2, 1, y, -1, y.length-1 );
+var z = sdot.ndarray( 3, x, 2, 1, y, -1, y.length-1 );
 // returns 128.0
 ```
 
@@ -162,22 +153,14 @@ var z = sdot.ndarray( N, x, 2, 1, y, -1, y.length-1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var sdot = require( '@stdlib/blas/base/sdot' );
 
-var x;
-var y;
-var i;
-
-x = new Float32Array( 10 );
-y = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( randu()*100.0 );
-    y[ i ] = round( randu()*10.0 );
-}
+var x = filledarrayBy( 10, 'float32', discreteUniform( 0, 100 ) );
 console.log( x );
+
+var y = filledarrayBy( x.length, 'float32', discreteUniform( 0, 10 ) );
 console.log( y );
 
 var z = sdot( x.length, x, 1, y, -1 );

diff --git a/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2019 The Stdlib Authors.
+* Copyright (c) 2023 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -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 Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var sdot = require( './../lib/sdot.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -100.0, 100.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,16 +44,8 @@ var sdot = require( './../lib/sdot.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float32Array( len );
-	y = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-		y[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float32', rand );
+	var y = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

diff --git a/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.native.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2023 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -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 Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +36,7 @@ var sdot = tryRequire( resolve( __dirname, './../lib/sdot.native.js' ) );
 var opts = {
 	'skip': ( sdot instanceof Error )
 };
+var rand = uniform( -100.0, 100.0 );
 
 
 // FUNCTIONS //
@@ -48,16 +49,8 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float32Array( len );
-	y = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-		y[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float32', rand );
+	var y = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

diff --git a/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.ndarray.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2019 The Stdlib Authors.
+* Copyright (c) 2023 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -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 Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var sdot = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -100.0, 100.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,16 +44,8 @@ var sdot = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float32Array( len );
-	y = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-		y[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float32', rand );
+	var y = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

diff --git a/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/blas/base/sdot/benchmark/benchmark.ndarray.native.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2023 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -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 Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +36,7 @@ var sdot = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( sdot instanceof Error )
 };
+var rand = uniform( -100.0, 100.0 );
 
 
 // FUNCTIONS //
@@ -48,16 +49,8 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float32Array( len );
-	y = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-		y[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float32', rand );
+	var y = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

diff --git a/lib/node_modules/@stdlib/blas/base/sdot/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/sdot/docs/repl.txt
@@ -2,8 +2,8 @@
 {{alias}}( N, x, strideX, y, strideY )
     Computes the dot product of two single-precision floating-point vectors.
 
-    The `N`, `strideX`, and `strideY` parameters determine which elements in `x`
-    and `y` are accessed at runtime.
+    The `N` and stride parameters determine which elements in the strided arrays
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -30,7 +30,7 @@
     Returns
     -------
     dot: float
-        The dot product of `x` and `y`.
+        The dot product.
 
     Examples
     --------
@@ -43,26 +43,24 @@
     // Strides:
     > x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
     > y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > dot = {{alias}}( N, x, 2, y, -1 )
+    > dot = {{alias}}( 3, x, 2, y, -1 )
     9.0
 
     // Using view offsets:
     > x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
     > y = new {{alias:@stdlib/array/float32}}( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x.buffer, x.BYTES_PER_ELEMENT*1 );
     > var y1 = new {{alias:@stdlib/array/float32}}( y.buffer, y.BYTES_PER_ELEMENT*3 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > dot = {{alias}}( N, x1, -2, y1, 1 )
+    > dot = {{alias}}( 3, x1, -2, y1, 1 )
     128.0
 
+
 {{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
     Computes the dot product of two single-precision floating-point vectors
     using alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, the `offsetX` and `offsetY` parameters support indexing based on a
-    starting index.
+    buffer, the offset parameters support indexing based on a starting index.
 
     Parameters
     ----------
@@ -90,7 +88,7 @@
     Returns
     -------
     dot: float
-        The dot product of `x` and `y`.
+        The dot product.
 
     Examples
     --------
@@ -103,15 +101,13 @@
     // Strides:
     > x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
     > y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > dot = {{alias}}.ndarray( N, x, 2, 0, y, 2, 0 )
+    > dot = {{alias}}.ndarray( 3, x, 2, 0, y, 2, 0 )
     9.0
 
     // Using offset indices:
     > x = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
     > y = new {{alias:@stdlib/array/float32}}( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > dot = {{alias}}.ndarray( N, x, -2, x.length-1, y, 1, 3 )
+    > dot = {{alias}}.ndarray( 3, x, -2, x.length-1, y, 1, 3 )
     128.0
 
     See Also