Auto-generated commit

Author: stdlib-bot

.editorconfig

@@ -86,7 +86,6 @@ indent_style = tab
 [*.{f,f.txt}]
 indent_style = space
 indent_size = 2
-insert_final_newline = false
 
 # Set properties for shell files:
 [*.{sh,sh.txt}]

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-01-08)
+## Unreleased (2025-02-05)
 
 <section class="features">
 
@@ -32,6 +32,8 @@
 
 <details>
 
+-   [`93c884d`](https://github.com/stdlib-js/stdlib/commit/93c884d677c3c79c24a451a0f1badf45d8b6ee16) - **bench:** update `NaN` generation in `stats/base/*` [(#5044)](https://github.com/stdlib-js/stdlib/pull/5044) _(by Aayush Khanna)_
+-   [`74c5fe1`](https://github.com/stdlib-js/stdlib/commit/74c5fe174a5fb4cd5fdd54abf6697d5e94c1ff87) - **docs:** update examples of `stats/base/dnanmeanwd` to show proper handling of `NaN` elements [(#4994)](https://github.com/stdlib-js/stdlib/pull/4994) _(by Aayush Khanna)_
 -   [`7e63aad`](https://github.com/stdlib-js/stdlib/commit/7e63aad8c0b42330b0933973bddea8d1c5e84862) - **fix:** wrap function calls in `API_SUFFIX` in native addons [(#4646)](https://github.com/stdlib-js/stdlib/pull/4646) _(by Aayush Khanna)_
 -   [`b046648`](https://github.com/stdlib-js/stdlib/commit/b046648de50ab6f4d3af98645313df1a067cd5ff) - **chore:** remove unused header in `stats/base/dnanmeanwd` [(#4497)](https://github.com/stdlib-js/stdlib/pull/4497) _(by Aayush Khanna)_
 -   [`29f0cf3`](https://github.com/stdlib-js/stdlib/commit/29f0cf37d8c59629455eead33c36630c2f323750) - **test:** fix arguments _(by Athan Reines)_

CONTRIBUTORS

@@ -27,6 +27,7 @@ Daniel Killenberger <daniel.killenberger@gmail.com>
 Daniel Yu <40680511+Daniel777y@users.noreply.github.com>
 Debashis Maharana <debashismaharana7854@gmail.com>
 Desh Deepak Kant <118960904+DeshDeepakKant@users.noreply.github.com>
+Dev Goel <135586571+corsairier@users.noreply.github.com>
 Dhruv Arvind Singh <154677013+DhruvArvindSingh@users.noreply.github.com>
 Divyansh Seth <59174836+sethdivyansh@users.noreply.github.com>
 Dominic Lim <46486515+domlimm@users.noreply.github.com>
@@ -50,6 +51,7 @@ Joey Reed <joeyrreed@gmail.com>
 Jordan Gallivan <115050475+Jordan-Gallivan@users.noreply.github.com>
 Joris Labie <joris.labie1@gmail.com>
 Justin Dennison <justin1dennison@gmail.com>
+Karan Anand <119553199+anandkaranubc@users.noreply.github.com>
 Karthik Prakash <116057817+skoriop@users.noreply.github.com>
 Kohantika Nath <145763549+kohantikanath@users.noreply.github.com>
 Krishnendu Das <86651039+itskdhere@users.noreply.github.com>

README.md

@@ -105,26 +105,28 @@ The function has the following parameters:
 
 The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
 
-var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
+var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ] );
 
-var v = dnanmeanwd( 4, x, 2 );
+var v = dnanmeanwd( 5, x, 2 );
 // returns 1.25
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
 
-<!-- eslint-disable stdlib/capitalized-comments -->
+<!-- eslint-disable stdlib/capitalized-comments, max-len -->
 
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
 
-var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
+var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var v = dnanmeanwd( 4, x1, 2 );
+var v = dnanmeanwd( 5, x1, 2 );
 // returns 1.25
 ```
 
@@ -147,12 +149,14 @@ The function has the following additional parameters:
 
 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 [arithmetic mean][arithmetic-mean] for every other element in `x` starting from the second element
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var Float64Array = require( '@stdlib/array-float64' );
 
-var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
+var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 
-var v = dnanmeanwd.ndarray( 4, x, 2, 1 );
+var v = dnanmeanwd.ndarray( 5, x, 2, 1 );
 // returns 1.25
 ```
 

benchmark/benchmark.js

@@ -39,7 +39,7 @@ var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

benchmark/benchmark.native.js

@@ -48,7 +48,7 @@ var opts = {
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

benchmark/benchmark.ndarray.js

@@ -39,7 +39,7 @@ var dnanmeanwd = require( './../lib/ndarray.js' );
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

benchmark/benchmark.ndarray.native.js

@@ -48,7 +48,7 @@ var opts = {
 * @returns {number} random number or `NaN`
 */
 function rand() {
-	if ( bernoulli( 0.2 ) ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -10.0, 10.0 );

dist/index.js.map

@@ -37,14 +37,14 @@
     ~0.3333
 
     // Using `N` and stride parameters:
-    > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > {{alias}}( 3, x, 2 )
+    > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );
+    > {{alias}}( 4, x, 2 )
     ~0.3333
 
     // Using view offsets:
-    > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
+    > 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 );
-    > {{alias}}( 3, x1, 2 )
+    > {{alias}}( 4, x1, 2 )
     ~-0.3333
 
 
@@ -84,8 +84,8 @@
     ~0.3333
 
     // Using offset parameter:
-    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
-    > {{alias}}.ndarray( 3, x, 2, 1 )
+    > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
+    > {{alias}}.ndarray( 4, x, 2, 1 )
     ~-0.3333
 
     See Also