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

PR-URL: stdlib-js#5186

Reviewed-by: Philipp Burckhardt <[email protected]>

Author: headlessNode

lib/node_modules/@stdlib/blas/ext/base/dnannsum/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 in the strided array are accessed at runtime. For example, to compute the sum of every other element in the strided array:
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the sum of every other element:
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
@@ -146,7 +146,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var dnannsum = require( '@stdlib/blas/ext/base/dnannsum' );
 
 function rand() {
-    if ( bernoulli( 0.7 ) > 0 ) {
+    if ( bernoulli( 0.5 ) < 1 ) {
         return discreteUniform( 0, 100 );
     }
     return NaN;
@@ -208,7 +208,7 @@ 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
@@ -223,7 +223,7 @@ Computes the sum of double-precision floating-point strided array elements, igno
 #include "stdlib/blas/base/shared.h"
 
 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_dnannsum_ndarray( 4, x, 1, 0, &n );
 // returns 7.0
@@ -233,8 +233,8 @@ 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/dnannsum/benchmark/benchmark.js

@@ -40,7 +40,7 @@ var dnannsum = require( './../lib/dnannsum.js' );
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.7 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10, 10 );
 	}
 	return NaN;

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

@@ -49,7 +49,7 @@ var opts = {
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.7 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10, 10 );
 	}
 	return NaN;

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

@@ -40,7 +40,7 @@ var dnannsum = require( './../lib/ndarray.js' );
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.7 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10, 10 );
 	}
 	return NaN;

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

@@ -49,7 +49,7 @@ var opts = {
 * @returns {number} random number
 */
 function rand() {
-	if ( bernoulli( 0.7 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( -10, 10 );
 	}
 	return NaN;

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

@@ -61,8 +61,8 @@
     ignoring `NaN` values and using alternative indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, the offset parameters support indexing semantics based on
-    starting indices.
+    buffer, the offset parameters support indexing semantics based on starting
+    indices.
 
     Parameters
     ----------

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

@@ -25,7 +25,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var dnannsum = require( './../lib' );
 
 function rand() {
-	if ( bernoulli( 0.7 ) > 0 ) {
+	if ( bernoulli( 0.5 ) < 1 ) {
 		return discreteUniform( 0, 100 );
 	}
 	return NaN;

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

@@ -31,9 +31,9 @@ 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
@@ -46,12 +46,7 @@ var ndarray = require( './ndarray.js' );
 * // returns <Float64Array>[ 1.0, 3 ]
 */
 function dnannsum( 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/dnannsum/lib/dnannsum.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