Auto-generated commit

CHANGELOG.md

@@ -4,14 +4,25 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-12-24)
+## Unreleased (2024-12-29)
+
+<section class="features">
+
+### Features
+
+-   [`ab52d49`](https://github.com/stdlib-js/stdlib/commit/ab52d49f6321b0af6d615d5ee90ee52c43feb42b) - add C ndarray interface and refactor implementation for `stats/base/snanmaxabs` [(#4328)](https://github.com/stdlib-js/stdlib/pull/4328)
+
+</section>
+
+<!-- /.features -->
 
 <section class="commits">
 
 ### Commits
 
 <details>
 
+-   [`ab52d49`](https://github.com/stdlib-js/stdlib/commit/ab52d49f6321b0af6d615d5ee90ee52c43feb42b) - **feat:** add C ndarray interface and refactor implementation for `stats/base/snanmaxabs` [(#4328)](https://github.com/stdlib-js/stdlib/pull/4328) _(by Aayush Khanna, stdlib-bot)_
 -   [`62364f6`](https://github.com/stdlib-js/stdlib/commit/62364f62ea823a3b52c2ad25660ecd80c71f8f36) - **style:** fix C comment alignment _(by Philipp Burckhardt)_
 -   [`9e689ff`](https://github.com/stdlib-js/stdlib/commit/9e689ffcb7c6223afc521f1e574b42f10921cf5e) - **chore:** fix indentation in manifest.json files _(by Philipp Burckhardt)_
 -   [`272ae7a`](https://github.com/stdlib-js/stdlib/commit/272ae7ac5c576c68cfab1b6e304c86407faa20cd) - **docs:** remove comment _(by Athan Reines)_
@@ -26,8 +37,9 @@
 
 ### Contributors
 
-A total of 2 people contributed to this release. Thank you to the following contributors:
+A total of 3 people contributed to this release. Thank you to the following contributors:
 
+-   Aayush Khanna
 -   Athan Reines
 -   Philipp Burckhardt
 

README.md

@@ -69,36 +69,33 @@ To view installation and usage instructions specific to each branch build, be su
 var snanmaxabs = require( '@stdlib/stats-base-snanmaxabs' );
 ```
 
-#### snanmaxabs( N, x, stride )
+#### snanmaxabs( N, x, strideX )
 
 Computes the maximum absolute value of a single-precision floating-point strided array `x`, ignoring `NaN` values.
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = snanmaxabs( N, x, 1 );
+var v = snanmaxabs( x.length, x, 1 );
 // returns 2.0
 ```
 
 The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the maximum absolute value of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the maximum absolute value of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, NaN, NaN ] );
-var N = floor( x.length / 2 );
 
-var v = snanmaxabs( N, x, 2 );
+var v = snanmaxabs( 4, x, 2 );
 // returns 7.0
 ```
 
@@ -108,45 +105,39 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = snanmaxabs( N, x1, 2 );
+var v = snanmaxabs( 4, x1, 2 );
 // returns 4.0
 ```
 
-#### snanmaxabs.ndarray( N, x, stride, offset )
+#### snanmaxabs.ndarray( N, x, strideX, offsetX )
 
 Computes the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = snanmaxabs.ndarray( N, x, 1, 0 );
+var v = snanmaxabs.ndarray( x.length, x, 1, 0 );
 // returns 2.0
 ```
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-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 maximum absolute value for 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 maximum absolute value for every other element in `x` starting from the second element
 
 ```javascript
 var Float32Array = require( '@stdlib/array-float32' );
-var floor = require( '@stdlib/math-base-special-floor' );
 
 var x = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, NaN, NaN ] );
-var N = floor( x.length / 2 );
 
-var v = snanmaxabs.ndarray( N, x, 2, 1 );
+var v = snanmaxabs.ndarray( 4, x, 2, 1 );
 // returns 4.0
 ```
 
@@ -197,6 +188,123 @@ console.log( v );
 
 <!-- /.examples -->
 
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/snanmaxabs.h"
+```
+
+#### stdlib_strided_snanmaxabs( N, \*X, strideX )
+
+Computes the maximum absolute value of a single-precision floating-point strided array `x`, ignoring `NaN` values.
+
+```c
+const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, -4.0f };
+
+float v = stdlib_strided_snanmaxabs( 4, x, 1 );
+// returns 4.0f
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] float*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+float stdlib_strided_snanmaxabs( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_snanmaxabs_ndarray( N, \*X, strideX, offsetX )
+
+Computes the maximum absolute value of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+
+```c
+const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, -4.0f };
+
+float v = stdlib_strided_snanmaxabs_ndarray( 4, x, 1, 0 );
+// returns 4.0f
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] float*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+float stdlib_strided_snanmaxabs_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/snanmaxabs.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create a strided array:
+    const float x[] = { 1.0f, -2.0f, -3.0f, 4.0f, -5.0f, -6.0f, 7.0f, 8.0f, 0.0f/0.0f, 0.0f/0.0f };
+
+    // Specify the number of elements:
+    const int N = 5;
+
+    // Specify the stride length:
+    const int strideX = 2;
+
+    // Compute the maximum absolute value:
+    float v = stdlib_strided_snanmaxabs( N, x, strideX );
+
+    // Print the result:
+    printf( "maxabs: %f\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">

benchmark/benchmark.js

@@ -21,16 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench-harness' );
-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 Float32Array = require( '@stdlib/array-float32' );
 var pkg = require( './../package.json' ).name;
 var snanmaxabs = require( './../lib/snanmaxabs.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -39,17 +53,7 @@ var snanmaxabs = require( './../lib/snanmaxabs.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

benchmark/benchmark.native.js

@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench-harness' );
-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 Float32Array = require( '@stdlib/array-float32' );
 var tryRequire = require( '@stdlib/utils-try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,19 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -48,17 +62,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {