docs: update blas/ext/base/dnannsumkbn2 to follow current project conventions

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/README.md

@@ -58,7 +58,7 @@ The function has the following parameters:
 -   **out**: output [`Float64Array`][@stdlib/array/float64] whose first element is the sum and whose second element is the number of non-NaN elements.
 -   **strideOut**: stride length 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:
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -106,7 +106,7 @@ The function has the following additional parameters:
 -   **offsetX**: starting index for `x`.
 -   **offsetOut**: starting index for `out`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to calculate the sum of every other element starting from the second element:
+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 sum of every other element starting from the second element:
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -146,7 +146,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var dnannsumkbn2 = require( '@stdlib/blas/ext/base/dnannsumkbn2' );
 
 function rand() {
-    if ( bernoulli( 0.8 ) > 0 ) {
+    if ( bernoulli( 0.5 ) < 1 ) {
         return discreteUniform( 0, 100 );
     }
     return NaN;
@@ -206,7 +206,7 @@ The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
 -   **X**: `[in] double*` input array.
--   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **strideX**: `[in] CBLAS_INT` stride length.
 -   **n**: `[out] CBLAS_INT*` pointer for storing the number of non-NaN elements.
 
 ```c
@@ -219,7 +219,7 @@ Computes the sum of double-precision floating-point strided array elements, igno
 
 ```c
 const double x[] = { 1.0, 2.0, 0.0/0.0, 4.0 };
-CBLAS_INT n = 0; 
+CBLAS_INT n = 0;
 
 double v = stdlib_strided_dnannsumkbn2_ndarray( 4, x, 1, 0, &n );
 // returns 7.0
@@ -229,8 +229,8 @@ The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
 -   **X**: `[in] double*` input array.
--   **strideX**: `[in] CBLAS_INT` stride length for `X`.
--   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+-   **strideX**: `[in] CBLAS_INT` stride length.
+-   **offsetX**: `[in] CBLAS_INT` starting index.
 -   **n**: `[out] CBLAS_INT*` pointer for storing the number of non-NaN elements.
 
 ```c

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/benchmark/benchmark.js

@@ -40,7 +40,7 @@ var dnannsumkbn2 = require( './../lib/dnannsumkbn2.js' );
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.7 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10.0, 10.0 );
 	}
 	return NaN;

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/benchmark/benchmark.native.js

@@ -49,7 +49,7 @@ var opts = {
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10.0, 10.0 );
 	}
 	return NaN;

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/benchmark/benchmark.ndarray.js

@@ -40,7 +40,7 @@ var dnannsumkbn2 = require( './../lib/ndarray.js' );
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10.0, 10.0 );
 	}
 	return NaN;

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/benchmark/benchmark.ndarray.native.js

@@ -49,7 +49,7 @@ var opts = {
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.8 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10.0, 10.0 );
 	}
 	return NaN;

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/docs/repl.txt

@@ -4,8 +4,8 @@
     ignoring `NaN` values and using a second-order iterative Kahan–Babuška
     algorithm.
 
-    The `N` and stride parameters determine which elements in the strided
-    array 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.
@@ -63,7 +63,7 @@
     algorithm and alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, offset parameters support indexing semantics based on starting
+    buffer, the offset parameters support indexing semantics based on starting
     indices.
 
     Parameters

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/docs/types/index.d.ts

@@ -27,9 +27,9 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param strideX - `x` stride length
+	* @param strideX - stride length for `x`
 	* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
-	* @param strideOut - `out` stride length
+	* @param strideOut - stride length for `out`
 	* @returns output array
 	*
 	* @example
@@ -48,11 +48,11 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param strideX - `x` stride length
-	* @param offsetX - `x` starting index
+	* @param strideX - stride length for `x`
+	* @param offsetX - starting index for `x`
 	* @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
-	* @param strideOut - `out` stride length
-	* @param offsetOut - `out` starting index
+	* @param strideOut - stride length for `out`
+	* @param offsetOut - starting index for `out`
 	* @returns output array
 	*
 	* @example
@@ -72,9 +72,9 @@ interface Routine {
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param strideX - `x` stride length
+* @param strideX - stride length for `x`
 * @param out - output array whose first element is the sum and whose second element is the number of non-NaN elements
-* @param strideOut - `out` stride length
+* @param strideOut - stride length for `out`
 * @returns output array
 *
 * @example

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/examples/index.js

@@ -25,7 +25,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var dnannsumkbn2 = require( './../lib' );
 
 function rand() {
-	if ( bernoulli( 0.8 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( 0, 100 );
 	}
 	return NaN;

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/lib/dnannsumkbn2.js

@@ -39,9 +39,9 @@ var ndarray = require( './ndarray.js' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} strideX - `x` stride length
+* @param {integer} strideX - stride length for `x`
 * @param {Float64Array} out - output array
-* @param {integer} strideOut - `out` stride length
+* @param {integer} strideOut - stride length for `out`
 * @returns {Float64Array} output array
 *
 * @example
@@ -54,12 +54,7 @@ var ndarray = require( './ndarray.js' );
 * // returns <Float64Array>[ 1.0, 3 ]
 */
 function dnannsumkbn2( N, x, strideX, out, strideOut ) {
-	var ix;
-	var io;
-
-	ix = stride2offset( N, strideX );
-	io = stride2offset( 2, strideOut );
-	return ndarray( N, x, strideX, ix, out, strideOut, io );
+	return ndarray( N, x, strideX, stride2offset( N, strideX ), out, strideOut, stride2offset( 2, strideOut ) ); // eslint-disable-line max-len
 }
 
 

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/lib/dnannsumkbn2.native.js

@@ -30,9 +30,9 @@ var addon = require( './../src/addon.node' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} strideX - `x` stride length
+* @param {integer} strideX - stride length for `x`
 * @param {Float64Array} out - output array
-* @param {integer} strideOut - `out` stride length
+* @param {integer} strideOut - stride length for `out`
 * @returns {Float64Array} output array
 *
 * @example

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/lib/ndarray.js

@@ -39,11 +39,11 @@ var abs = require( '@stdlib/math/base/special/abs' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} strideX - `x` stride length
-* @param {NonNegativeInteger} offsetX - `x` starting index
+* @param {integer} strideX - stride length for `x`
+* @param {NonNegativeInteger} offsetX - starting index for `x`
 * @param {Float64Array} out - output array
-* @param {integer} strideOut - `out` stride length
-* @param {NonNegativeInteger} offsetOut - `out` starting index
+* @param {integer} strideOut - stride length for `out`
+* @param {NonNegativeInteger} offsetOut - starting index for `out`
 * @returns {Float64Array} output array
 *
 * @example

lib/node_modules/@stdlib/blas/ext/base/dnannsumkbn2/lib/ndarray.native.js

@@ -30,11 +30,11 @@ var addon = require( './../src/addon.node' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} strideX - `x` stride length
-* @param {NonNegativeInteger} offsetX - `x` starting index
+* @param {integer} strideX - stride length for `x`
+* @param {NonNegativeInteger} offsetX - starting index for `x`
 * @param {Float64Array} out - output array
-* @param {integer} strideOut - `out` stride length
-* @param {NonNegativeInteger} offsetOut - `out` starting index
+* @param {integer} strideOut - stride length for `out`
+* @param {NonNegativeInteger} offsetOut - starting index for `out`
 * @returns {Float64Array} output array
 *
 * @example