refactor blas/ext/base/dcusumors to follow current project conventions

PR-URL: #2041
Closes: #1474

---------

Signed-off-by: Pranav <85227306+Pranavchiku@users.noreply.github.com>
Signed-off-by: Philipp Burckhardt <pburckhardt@outlook.com>
Co-authored-by: Pranav <85227306+Pranavchiku@users.noreply.github.com>
Co-authored-by: Philipp Burckhardt <pburckhardt@outlook.com>
Reviewed-by: Pranav Goswami <goswami.4@iitj.ac.in>
Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>

Author: 3 people

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

@@ -65,18 +65,15 @@ The function has the following parameters:
 -   **y**: output [`Float64Array`][@stdlib/array/float64].
 -   **strideY**: index increment for `y`.
 
-The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to compute the cumulative sum of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the cumulative sum of every other element in the strided input array,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
 var y = new Float64Array( x.length );
 
-var N = floor( x.length / 2 );
-
-var v = dcusumors( N, 0.0, x, 2, y, 1 );
+var v = dcusumors( 4, 0.0, x, 2, y, 1 );
 // y => <Float64Array>[ 1.0, 3.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
 ```
 
@@ -86,7 +83,6 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 // Initial arrays...
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
@@ -96,9 +92,7 @@ var y0 = new Float64Array( x0.length );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
 
-var N = floor( x0.length / 2 );
-
-dcusumors( N, 0.0, x1, -2, y1, 1 );
+dcusumors( 4, 0.0, x1, -2, y1, 1 );
 // y0 => <Float64Array>[ 0.0, 0.0, 0.0, 4.0, 6.0, 4.0, 5.0, 0.0 ]
 ```
 
@@ -121,18 +115,15 @@ 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`, `offsetX` and `offsetY` parameters support indexing semantics based on a starting indices. For example, to calculate the cumulative sum of every other value in `x` starting from the second value and to store in the last `N` elements of `y` starting from the last element
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, `offsetX` and `offsetY` parameters support indexing semantics based on a starting indices. For example, to calculate the cumulative sum of every other value in the strided input array starting from the second value and to store in the last `N` elements of the strided output array starting from the last element
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var y = new Float64Array( x.length );
 
-var N = floor( x.length / 2 );
-
-dcusumors.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 );
+dcusumors.ndarray( 4, 0.0, x, 2, 1, y, -1, y.length-1 );
 // y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 5.0, 1.0, -1.0, 1.0 ]
 ```
 
@@ -158,20 +149,14 @@ dcusumors.ndarray( N, 0.0, 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dcusumors = require( '@stdlib/blas/ext/base/dcusumors' );
 
-var y;
-var x;
-var i;
+var x = filledarrayBy( 10, 'float64', discreteUniform( 0, 100 ) );
+var y = new Float64Array( x.length );
 
-x = new Float64Array( 10 );
-y = new Float64Array( x.length );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( randu()*100.0 );
-}
 console.log( x );
 console.log( y );
 

lib/node_modules/@stdlib/blas/ext/base/dcusumors/benchmark/benchmark.js

@@ -21,14 +21,20 @@
 // 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 dcusumors = require( './../lib/dcusumors.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -10.0, 10.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,15 +45,8 @@ var dcusumors = require( './../lib/dcusumors.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var y;
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/dcusumors/benchmark/benchmark.native.js

@@ -22,7 +22,8 @@
 
 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' );
@@ -32,6 +33,7 @@ var pkg = require( './../package.json' ).name;
 
 // VARIABLES //
 
+var rand = uniform( -10.0, 10.0 );
 var dcusumors = tryRequire( resolve( __dirname, './../lib/dcusumors.native.js' ) );
 var opts = {
 	'skip': ( dcusumors instanceof Error )
@@ -48,15 +50,8 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/dcusumors/benchmark/benchmark.ndarray.js

@@ -21,14 +21,20 @@
 // 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 dcusumors = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var rand = uniform( -10.0, 10.0 );
+
+
 // FUNCTIONS //
 
 /**
@@ -39,15 +45,8 @@ var dcusumors = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/dcusumors/benchmark/benchmark.ndarray.native.js

@@ -22,7 +22,8 @@
 
 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' );
@@ -32,6 +33,7 @@ var pkg = require( './../package.json' ).name;
 
 // VARIABLES //
 
+var rand = uniform( -10.0, 10.0 );
 var dcusumors = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dcusumors instanceof Error )
@@ -48,15 +50,8 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var y;
-	var i;
-
-	x = new Float64Array( len );
-	y = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = filledarrayBy( len, 'float64', rand );
+	var y = new Float64Array( len );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/blas/ext/base/dcusumors/docs/repl.txt

@@ -3,8 +3,8 @@
     Computes the cumulative sum of double-precision floating-point strided array
     elements using ordinary recursive summation.
 
-    The `N` and `stride` 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.
@@ -47,21 +47,20 @@
     // Using `N` and `stride` parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
     > y = new {{alias:@stdlib/array/float64}}( x.length );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, 0.0, x, 2, y, 2 )
+    > {{alias}}( 3, 0.0, x, 2, y, 2 )
     <Float64Array>[ -2.0, 0.0, -1.0, 0.0, 1.0, 0.0 ]
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var y0 = new {{alias:@stdlib/array/float64}}( x0.length );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
     > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*3 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > {{alias}}( N, 0.0, x1, 2, y1, 1 )
+    > {{alias}}( 3, 0.0, x1, 2, y1, 1 )
     <Float64Array>[ -2.0, 0.0, -1.0 ]
     > y0
     <Float64Array>[ 0.0, 0.0, 0.0, -2.0, 0.0, -1.0 ]
 
+
 {{alias}}.ndarray( N, sum, x, strideX, offsetX, y, strideY, offsetY )
     Computes the cumulative sum of double-precision floating-point strided array
     elements using ordinary recursive summation and alternative indexing
@@ -113,8 +112,7 @@
     // Advanced indexing:
     > x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > y = new {{alias:@stdlib/array/float64}}( x.length );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 )
+    > {{alias}}.ndarray( 3, 0.0, x, 2, 1, y, -1, y.length-1 )
     <Float64Array>[ 0.0, 0.0, 0.0, -1.0, 0.0, -2.0 ]
 
     See Also

lib/node_modules/@stdlib/blas/ext/base/dcusumors/examples/index.js

@@ -18,20 +18,14 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dcusumors = require( './../lib' );
 
-var y;
-var x;
-var i;
+var x = filledarrayBy( 10, 'float64', discreteUniform( 0, 100 ) );
+var y = new Float64Array( x.length );
 
-x = new Float64Array( 10 );
-y = new Float64Array( x.length );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = round( randu()*100.0 );
-}
 console.log( x );
 console.log( y );
 

lib/node_modules/@stdlib/blas/ext/base/dcusumors/include.gypi

@@ -36,7 +36,7 @@
 
     # Source files:
     'src_files': [
-      '<(src_dir)/addon.cpp',
+      '<(src_dir)/addon.c',
       '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
     ],
 

lib/node_modules/@stdlib/blas/ext/base/dcusumors/lib/dcusumors.js

@@ -36,9 +36,8 @@
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
 * var y = new Float64Array( x.length );
-* var N = x.length;
 *
-* var v = dcusumors( N, 0.0, x, 1, y, 1 );
+* var v = dcusumors( 3, 0.0, x, 1, y, 1 );
 * // returns <Float64Array>[ 1.0, -1.0, 1.0 ]
 */
 function dcusumors( N, sum, x, strideX, y, strideY ) {

lib/node_modules/@stdlib/blas/ext/base/dcusumors/lib/dcusumors.native.js

@@ -41,9 +41,8 @@ var addon = require( './../src/addon.node' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
 * var y = new Float64Array( x.length );
-* var N = x.length;
 *
-* var v = dcusumors( N, 0.0, x, 1, y, 1 );
+* var v = dcusumors( 3, 0.0, x, 1, y, 1 );
 * // returns <Float64Array>[ 1.0, -1.0, 1.0 ]
 */
 function dcusumors( N, sum, x, strideX, y, strideY ) {

lib/node_modules/@stdlib/blas/ext/base/dcusumors/lib/index.js

@@ -29,21 +29,18 @@
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
 * var y = new Float64Array( x.length );
-* var N = x.length;
 *
-* dcusumors( N, 0.0, x, 1, y, 1 );
+* dcusumors( 3, 0.0, x, 1, y, 1 );
 * // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dcusumors = require( '@stdlib/blas/ext/base/dcusumors' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 * var y = new Float64Array( x.length );
-* var N = floor( x.length / 2 );
 *
-* dcusumors.ndarray( N, 0.0, x, 2, 1, y, 1, 0 );
+* dcusumors.ndarray( 4, 0.0, x, 2, 1, y, 1, 0 );
 * // y => <Float64Array>[ 1.0, -1.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
 */
 

lib/node_modules/@stdlib/blas/ext/base/dcusumors/lib/ndarray.js

@@ -35,13 +35,11 @@
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 * var y = new Float64Array( x.length );
-* var N = floor( x.length / 2 );
 *
-* var v = dcusumors( N, 0.0, x, 2, 1, y, 1, 0 );
+* var v = dcusumors( 4, 0.0, x, 2, 1, y, 1, 0 );
 * // returns <Float64Array>[ 1.0, -1.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
 */
 function dcusumors( N, sum, x, strideX, offsetX, y, strideY, offsetY ) {