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

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

@@ -54,21 +54,19 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **strideX**: index increment for `x`.
+-   **strideX**: index increment for the strided array.
 -   **out**: output [`Float64Array`][@stdlib/array/float64] whose first element is the sum and whose second element is the number of non-NaN elements.
 -   **strideOut**: index increment for `out`.
 
-The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the sum of every other element in `x`,
+The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the sum of 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 out = new Float64Array( 2 );
-var N = floor( x.length / 2 );
 
-var v = dnannsumpw( N, x, 2, out, 1 );
+var v = dnannsumpw( 4, x, 2, out, 1 );
 // returns <Float64Array>[ 5.0, 2 ]
 ```
 
@@ -78,17 +76,14 @@ 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 out0 = new Float64Array( 4 );
 var out1 = new Float64Array( out0.buffer, out0.BYTES_PER_ELEMENT*2 ); // start at 3rd element
 
-var N = floor( x0.length / 2 );
-
-var v = dnannsumpw( N, x1, 2, out1, 1 );
+var v = dnannsumpw( 4, x1, 2, out1, 1 );
 // returns <Float64Array>[ 5.0, 4 ]
 ```
 
@@ -108,20 +103,18 @@ var v = dnannsumpw.ndarray( x.length, x, 1, 0, out, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offsetX**: starting index for `x`.
+-   **offsetX**: starting index for the strided array.
 -   **offsetOut**: starting index for `out`.
 
-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 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 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 out = new Float64Array( 4 );
-var N = floor( x.length / 2 );
 
-var v = dnannsumpw.ndarray( N, x, 2, 1, out, 2, 1 );
+var v = dnannsumpw.ndarray( 4, x, 2, 1, out, 2, 1 );
 // returns <Float64Array>[ 0.0, 5.0, 0.0, 4 ]
 ```
 
@@ -147,22 +140,20 @@ var v = dnannsumpw.ndarray( N, x, 2, 1, out, 2, 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' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnannsumpw = require( '@stdlib/blas/ext/base/dnannsumpw' );
 
-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 out = new Float64Array( 2 );

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

@@ -21,7 +21,9 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+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' );
@@ -41,19 +43,18 @@ var dnannsumpw = require( './../lib/dnannsumpw.js' );
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float64', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
+		}
+		return NaN;
+	}
+
 	function benchmark( b ) {
 		var i;
 

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

@@ -22,7 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+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' );
@@ -50,19 +52,18 @@ var opts = {
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float64', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
+		}
+		return NaN;
+	}
+
 	function benchmark( b ) {
 		var i;
 

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

@@ -21,7 +21,9 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+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' );
@@ -41,19 +43,18 @@ var dnannsumpw = require( './../lib/ndarray.js' );
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float64', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
+		}
+		return NaN;
+	}
+
 	function benchmark( b ) {
 		var i;
 

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

@@ -22,7 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+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' );
@@ -50,19 +52,18 @@ var opts = {
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float64', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.8 ) > 0 ) {
+			return uniform( -10.0, 10.0 );
+		}
+		return NaN;
+	}
+
 	function benchmark( b ) {
 		var i;
 

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

@@ -20,7 +20,7 @@
         Input array.
 
     strideX: integer
-        Index increment for `x`.
+        Index increment for the strided array.
 
     out: Float64Array
         Output array.
@@ -45,18 +45,17 @@
     // 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 ] );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, x, 2, out, 1 )
+    > {{alias}}( 4, x, 2, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
     // 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 );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > {{alias}}( N, x1, 2, out, 1 )
+    > {{alias}}( 4, x1, 2, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
+
 {{alias}}.ndarray( N, x, strideX, offsetX, out, strideOut, offsetOut )
     Computes the sum of double-precision floating-point strided array elements,
     ignoring `NaN` values and using pairwise summation and alternative indexing
@@ -75,10 +74,10 @@
         Input array.
 
     strideX: integer
-        Index increment for `x`.
+        Index increment for the strided array.
 
     offsetX: integer
-        Starting index for `x`.
+        Starting index for the strided array.
 
     out: Float64Array
         Output array.
@@ -105,9 +104,8 @@
 
     // 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 );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > {{alias}}.ndarray( N, x, 2, 1, out, 1, 0 )
+    > {{alias}}.ndarray( 4, x, 2, 1, out, 1, 0 )
     <Float64Array>[ 1.0, 3 ]
 
     See Also

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

@@ -18,25 +18,22 @@
 
 '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' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnannsumpw = require( './../lib' );
 
-var out;
-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 );
 
-out = new Float64Array( 2 );
+var out = new Float64Array( 2 );
 dnannsumpw( x.length, x, 1, out, 1 );
 console.log( out );

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

@@ -35,15 +35,12 @@
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dnannsumpw = require( '@stdlib/blas/ext/base/dnannsumpw' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 * var out = new Float64Array( 2 );
 *
-* var N = floor( x.length / 2 );
-*
-* var v = dnannsumpw.ndarray( N, x, 2, 1, out, 1, 0 );
+* var v = dnannsumpw.ndarray( 5, x, 2, 1, out, 1, 0 );
 * // returns <Float64Array>[ 5.0, 4 ]
 */
 

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

@@ -47,14 +47,11 @@ var sumpw = require( './sumpw.js' );
 *
 * @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, NaN, NaN ] );
 * var out = new Float64Array( 2 );
 *
-* var N = floor( x.length / 2 );
-*
-* var v = dnannsumpw( N, x, 2, 1, out, 1, 0 );
+* var v = dnannsumpw( 5, x, 2, 1, out, 1, 0 );
 * // returns <Float64Array>[ 5.0, 4 ]
 */
 function dnannsumpw( N, x, strideX, offsetX, out, strideOut, offsetOut ) {