refactor: update blas/ext/base/gasumpw to follow current project conventions

PR-URL: stdlib-js#4384
Reviewed-by: Athan Reines <[email protected]>

Author: headlessNode

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

@@ -51,7 +51,7 @@ The [_L1_ norm][l1norm] is defined as
 var gasumpw = require( '@stdlib/blas/ext/base/gasumpw' );
 ```
 
-#### gasumpw( N, x, stride )
+#### gasumpw( N, x, strideX )
 
 Computes the sum of absolute values ([_L1_ norm][l1norm]) of strided array elements using pairwise summation.
 
@@ -66,17 +66,14 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the sum of absolute values of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of absolute values of every other element:
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
-var N = floor( x.length / 2 );
 
-var v = gasumpw( N, x, 2 );
+var v = gasumpw( 4, x, 2 );
 // returns 9.0
 ```
 
@@ -86,18 +83,15 @@ 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' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = gasumpw( N, x1, 2 );
+var v = gasumpw( 4, x1, 2 );
 // returns 9.0
 ```
 
-#### gasumpw.ndarray( N, x, stride, offset )
+#### gasumpw.ndarray( N, x, strideX, offsetX )
 
 Computes the sum of absolute values ([_L1_ norm][l1norm]) of strided array elements using pairwise summation and alternative indexing semantics.
 
@@ -110,17 +104,14 @@ var v = gasumpw.ndarray( x.length, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the sum of absolute values of every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the sum of absolute values of every other element starting from the second element:
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = gasumpw.ndarray( N, x, 2, 1 );
+var v = gasumpw.ndarray( 4, x, 2, 1 );
 // returns 9.0
 ```
 
@@ -147,18 +138,12 @@ var v = gasumpw.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var gasumpw = require( '@stdlib/blas/ext/base/gasumpw' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( randu()*100.0 );
-}
+var x = discreteUniform( 10, -100, 100, {
+    'dtype': 'float64'
+});
 console.log( x );
 
 var v = gasumpw( x.length, x, 1 );

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

@@ -21,13 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var gasumpw = require( './../lib/main.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -38,13 +45,7 @@ var gasumpw = require( './../lib/main.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( ( randu()*20.0 ) - 10.0 );
-	}
+	var x = uniform( len, -100, 100, options );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -21,13 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
 var gasumpw = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -38,13 +45,7 @@ var gasumpw = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = [];
-	for ( i = 0; i < len; i++ ) {
-		x.push( ( randu()*20.0 ) - 10.0 );
-	}
+	var x = uniform( len, -100, 100, options );
 	return benchmark;
 
 	function benchmark( b ) {

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

@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the sum of absolute values (L1 norm) of strided array elements
     using pairwise summation.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -19,8 +19,8 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -34,27 +34,24 @@
     > {{alias}}( x.length, x, 1 )
     5.0
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, 2 )
     5.0
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
+    > {{alias}}( 3, x1, 2 )
     5.0
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the sum of absolute values (L1 norm) of strided array elements
     using pairwise summation and alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, the `offset` parameter supports indexing semantics based on a
+    buffer, the offset parameter supports indexing semantics based on a
     starting index.
 
     Parameters
@@ -65,10 +62,10 @@
     x: Array<number>|TypedArray
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -85,8 +82,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     5.0
 
     See Also

lib/node_modules/@stdlib/blas/ext/base/gasumpw/docs/types/index.d.ts

@@ -31,7 +31,7 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns sum
 	*
 	* @example
@@ -40,15 +40,15 @@ interface Routine {
 	* var v = gasumpw( x.length, x, 1 );
 	* // returns 5.0
 	*/
-	( N: number, x: NumericArray, stride: number ): number;
+	( N: number, x: NumericArray, strideX: number ): number;
 
 	/**
 	* Computes the sum of absolute values (L1 norm) of strided array elements using pairwise summation and alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns sum
 	*
 	* @example
@@ -57,15 +57,15 @@ interface Routine {
 	* var v = gasumpw.ndarray( x.length, x, 1, 0 );
 	* // returns 5.0
 	*/
-	ndarray( N: number, x: NumericArray, stride: number, offset: number ): number;
+	ndarray( N: number, x: NumericArray, strideX: number, offsetX: number ): number;
 }
 
 /**
 * Computes the sum of absolute values (L1 norm) of strided array elements using pairwise summation.
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns sum
 *
 * @example

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

@@ -18,18 +18,12 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var gasumpw = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = round( randu()*100.0 );
-}
+var x = discreteUniform( 10, -100, 100, {
+	'dtype': 'float64'
+});
 console.log( x );
 
 var v = gasumpw( x.length, x, 1 );

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

@@ -32,13 +32,11 @@
 * // returns 5.0
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var gasumpw = require( '@stdlib/blas/ext/base/gasumpw' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-* var N = floor( x.length / 2 );
 *
-* var v = gasumpw.ndarray( N, x, 2, 1 );
+* var v = gasumpw.ndarray( 4, x, 2, 1 );
 * // returns 9.0
 */
 

lib/node_modules/@stdlib/blas/ext/base/gasumpw/lib/main.js

@@ -20,8 +20,8 @@
 
 // MODULES //
 
-var abs = require( '@stdlib/math/base/special/abs' );
-var sum = require( './ndarray.js' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -39,7 +39,7 @@ var sum = require( './ndarray.js' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {NumericArray} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} sum
 *
 * @example
@@ -48,32 +48,8 @@ var sum = require( './ndarray.js' );
 * var v = gasumpw( x.length, x, 1 );
 * // returns 5.0
 */
-function gasumpw( N, x, stride ) {
-	var ix;
-	var s;
-	var i;
-
-	if ( N <= 0 ) {
-		return 0.0;
-	}
-	if ( N === 1 || stride === 0 ) {
-		return abs( x[ 0 ] );
-	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
-	}
-	if ( N < 8 ) {
-		// Use simple summation...
-		s = 0.0;
-		for ( i = 0; i < N; i++ ) {
-			s += abs( x[ ix ] );
-			ix += stride;
-		}
-		return s;
-	}
-	return sum( N, x, stride, ix );
+function gasumpw( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }