Auto-generated commit

Author: stdlib-bot

.github/.keepalive

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-02-02)
+## Unreleased (2025-02-11)
 
 <section class="features">
 
@@ -22,6 +22,7 @@
 
 <details>
 
+-   [`0feb415`](https://github.com/stdlib-js/stdlib/commit/0feb415ee92e1d3851665ac6729b6ea819f926ff) - **docs:** update `blas/ext/base/dnanasum` to follow current project conventions [(#5172)](https://github.com/stdlib-js/stdlib/pull/5172) _(by Muhammad Haris)_
 -   [`62364f6`](https://github.com/stdlib-js/stdlib/commit/62364f62ea823a3b52c2ad25660ecd80c71f8f36) - **style:** fix C comment alignment _(by Philipp Burckhardt)_
 -   [`7f76495`](https://github.com/stdlib-js/stdlib/commit/7f76495810ffc554f5c8ef36d2458f6dfd1c31f2) - **test:** add tests to `blas/ext/base/dnanasum` [(#3056)](https://github.com/stdlib-js/stdlib/pull/3056) _(by Saurabh Singh, Athan Reines, stdlib-bot)_
 -   [`ea7b344`](https://github.com/stdlib-js/stdlib/commit/ea7b34499a4847bd917e120595a0c677fe8bddb9) - **feat:** add C `ndarray` API and refactor `blas/ext/base/dnanasum` [(#2984)](https://github.com/stdlib-js/stdlib/pull/2984) _(by Muhammad Haris, Athan Reines)_

CHANGELOG.md

@@ -37,7 +37,7 @@ EuniceSim142 <[email protected]>
 Frank Kovacs <[email protected]>
 Golden Kumar <[email protected]>
 Gunj Joshi <[email protected]>
-Gururaj Gurram <[email protected].com>
+Gururaj Gurram <gururajgurram1512@gmail.com>
 HarshaNP <[email protected]>
 Harshita Kalani <[email protected]>
 Hridyanshu <[email protected]>
@@ -63,6 +63,7 @@ Marcus Fantham <[email protected]>
 Matt Cochrane <[email protected]>
 Mihir Pandit <[email protected]>
 Milan Raj <[email protected]>
+Mohammad Bin Aftab <[email protected]>
 Mohammad Kaif <[email protected]>
 Momtchil Momtchev <[email protected]>
 Muhammad Haris <[email protected]>
@@ -124,6 +125,8 @@ Vivek Maurya <[email protected]>
 Xiaochuan Ye <[email protected]>
 Yaswanth Kosuru <[email protected]>
 Yernar Yergaziyev <[email protected]>
+ekambains <[email protected]>
 olenkabilonizhka <[email protected]>
+pranav-1720 <[email protected]>
 rainn <[email protected]>
 rei2hu <[email protected]>

CONTRIBUTORS

@@ -92,19 +92,18 @@ 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( N, x, 1 );
+var v = dnanasum( x.length, x, 1 );
 // returns 5.0
 ```
 
 The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **strideX**: index increment for `x`.
+-   **strideX**: stride length.
 
-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]) for 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 absolute values ([_L1_ norm][l1norm]) for every other element:
 
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
@@ -144,9 +143,9 @@ var v = dnanasum.ndarray( 4, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offsetX**: 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 ([_L1_ norm][l1norm]) for every other value in the strided array 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]) for every other value in the strided array starting from the second value:
 
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
@@ -185,7 +184,7 @@ var Float64Array = require( '@stdlib/array-float64' );
 var dnanasum = require( '@stdlib/blas-ext-base-dnanasum' );
 
 function rand() {
-    if ( bernoulli( 0.8 ) > 0 ) {
+    if ( bernoulli( 0.5 ) < 1 ) {
         return discreteUniform( 0, 100 );
     }
     return NaN;
@@ -243,7 +242,7 @@ The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
 -   **X**: `[in] double*` input array.
--   **strideX**: `[in] CBLAS_INT` index increment for `X`.
+-   **strideX**: `[in] CBLAS_INT` stride length.
 
 ```c
 double stdlib_strided_dnanasum( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
@@ -264,8 +263,8 @@ The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
 -   **X**: `[in] double*` input array.
--   **strideX**: `[in] CBLAS_INT` index increment for `X`.
--   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+-   **strideX**: `[in] CBLAS_INT` stride length.
+-   **offsetX**: `[in] CBLAS_INT` starting index.
 
 ```c
 double stdlib_strided_dnanasum_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );

README.md

@@ -32,6 +32,19 @@ var dnanasum = require( './../lib/dnanasum.js' );
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.5 ) < 1 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -43,13 +56,6 @@ function createBenchmark( len ) {
 	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var v;
 		var i;

benchmark/benchmark.js

@@ -41,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.5 ) < 1 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -52,13 +65,6 @@ function createBenchmark( len ) {
 	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var v;
 		var i;

benchmark/benchmark.native.js

@@ -32,6 +32,19 @@ var dnanasum = require( './../lib/ndarray.js' );
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.5 ) < 1 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -43,13 +56,6 @@ function createBenchmark( len ) {
 	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var v;
 		var i;

benchmark/benchmark.ndarray.js

@@ -41,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number
+*/
+function rand() {
+	if ( bernoulli( 0.5 ) < 1 ) {
+		return uniform( -10.0, 10.0 );
+	}
+	return NaN;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -52,13 +65,6 @@ function createBenchmark( len ) {
 	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
-	function rand() {
-		if ( bernoulli( 0.8 ) > 0 ) {
-			return uniform( -10.0, 10.0 );
-		}
-		return NaN;
-	}
-
 	function benchmark( b ) {
 		var v;
 		var i;