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

PR-URL: #1924
Closes: #1476 
Ref: #1152

---------

Signed-off-by: Raunak Kumar Gupta <[email protected]>
Co-authored-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Pranav Goswami <[email protected]>

Author: raunak-dev-edu

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/README.md

@@ -71,16 +71,14 @@ The function has the following parameters:
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
 -   **stride**: index increment for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the sum of absolute values ([_L1_ norm][l1norm]) 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 ([_L1_ norm][l1norm]) every other element in  the strided array,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dnanasum( N, x, 2 );
+var v = dnanasum( 4, x, 2 );
 // returns 5.0
 ```
 
@@ -90,14 +88,11 @@ 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, NaN, -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 = dnanasum( N, x1, 2 );
+var v = dnanasum( 4, x1, 2 );
 // returns 9.0
 ```
 
@@ -109,26 +104,23 @@ Computes the sum of absolute values ([_L1_ norm][l1norm]) of double-precision fl
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = dnanasum.ndarray( N, x, 1, 0 );
+var v = dnanasum.ndarray( 4, x, 1, 0 );
 // returns 5.0
 ```
 
 The function has the following additional parameters:
 
 -   **offset**: starting index for `x`.
 
-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 ([_L1_ norm][l1norm]) 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 ([_L1_ norm][l1norm]) every other value in the strided array starting from the second value
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dnanasum.ndarray( N, x, 2, 1 );
+var v = dnanasum.ndarray( 4, x, 2, 1 );
 // returns 9.0
 ```
 
@@ -153,22 +145,20 @@ var v = dnanasum.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 bernoulli = require( '@stdlib/random/base/bernoulli' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnanasum = require( '@stdlib/blas/ext/base/dnanasum' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( randu()*100.0 );
+function rand() {
+    if ( bernoulli( 0.8 ) > 0 ) {
+        return discreteUniform( 0, 100 );
     }
+    return NaN;
 }
+
+var x = filledarrayBy( 10, 'float64', rand );
 console.log( x );
 
 var v = dnanasum( x.length, x, 1 );

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/benchmark/benchmark.js

@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+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 dnanasum = require( './../lib/dnanasum.js' );
 
@@ -39,18 +40,15 @@ var dnanasum = require( './../lib/dnanasum.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float64', rand );
+	return benchmark;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/benchmark/benchmark.native.js

@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+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;
 
@@ -48,18 +49,15 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float64', rand );
+	return benchmark;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/benchmark/benchmark.ndarray.js

@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+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 dnanasum = require( './../lib/ndarray.js' );
 
@@ -39,18 +40,15 @@ var dnanasum = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float64', rand );
+	return benchmark;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/benchmark/benchmark.ndarray.native.js

@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var uniform = require( '@stdlib/random/base/uniform' );
+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;
 
@@ -48,18 +49,15 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
+	var x = filledarrayBy( len, 'float64', rand );
+	return benchmark;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
 		}
+		return NaN;
 	}
-	return benchmark;
 
 	function benchmark( b ) {
 		var v;

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/docs/repl.txt

@@ -3,8 +3,8 @@
     Computes the sum of absolute values (L1 norm) of double-precision floating-
     point strided array elements, ignoring `NaN` values.
 
-    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.
@@ -36,19 +36,16 @@
 
     // Using `N` and `stride` parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 4, 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, NaN, NaN ] );
     > 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}}( 4, x1, 2 )
     5.0
 
+
 {{alias}}.ndarray( N, x, stride, offset )
     Computes the sum of absolute values (L1 norm) of double-precision floating-
     point strided array elements, ignoring `NaN` values and using alternative
@@ -86,10 +83,8 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 4, x, 2, 1 )
     5.0
 
     See Also
     --------
-

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/examples/index.js

@@ -18,22 +18,19 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var dnanasum = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float64Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( randu()*100.0 );
+function rand() {
+	if ( bernoulli( 0.8 ) > 0 ) {
+		return discreteUniform( 0, 100 );
 	}
+	return NaN;
 }
+
+var x = filledarrayBy( 10, 'float64', rand );
 console.log( x );
 
 var v = dnanasum( x.length, x, 1 );

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/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 ] ); }")',
     ],
 

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/lib/dnanasum.js

@@ -37,9 +37,8 @@ var dnanasumors = require( '@stdlib/blas/ext/base/dnanasumors' );
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = dnanasum( N, x, 1 );
+* var v = dnanasum( 4, x, 1 );
 * // returns 5.0
 */
 function dnanasum( N, x, stride ) {

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/lib/dnanasum.native.js

@@ -37,9 +37,8 @@ var addon = require( './../src/addon.node' );
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = dnanasum( N, x, 1 );
+* var v = dnanasum( 4, x, 1 );
 * // returns 5.0
 */
 function dnanasum( N, x, stride ) {

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/lib/index.js

@@ -28,20 +28,17 @@
 * var dnanasum = require( '@stdlib/blas/ext/base/dnanasum' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
-* var v = dnanasum( N, x, 1 );
+* var v = dnanasum( 4, x, 1 );
 * // returns 5.0
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dnanasum = require( '@stdlib/blas/ext/base/dnanasum' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanasum.ndarray( N, x, 2, 1 );
+* var v = dnanasum.ndarray( 5, x, 2, 1 );
 * // returns 9.0
 */
 

Diff for: lib/node_modules/@stdlib/blas/ext/base/dnanasum/lib/ndarray.js

@@ -39,9 +39,8 @@ var dnanasumors = require( '@stdlib/blas/ext/base/dnanasumors' ).ndarray;
 * 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, NaN, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanasum( N, x, 2, 1 );
+* var v = dnanasum( 5, x, 2, 1 );
 * // returns 9.0
 */
 function dnanasum( N, x, stride, offset ) {