chore: minor clean up

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dsmean/README.md

@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var dsmean = require( '@stdlib/stats/base/dsmean' );
 ```
 
-#### dsmean( N, x, stride )
+#### dsmean( N, x, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
 
@@ -68,15 +68,17 @@ 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 [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] 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, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+
+var v = dsmean( 4, 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.
@@ -88,6 +90,9 @@ var Float32Array = require( '@stdlib/array/float32' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var v = dsmean( 4, x1, 2 );
+// returns 1.25
 ```
 
 #### dsmean.ndarray( N, x, strideX, offsetX )
@@ -98,6 +103,9 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+
+var v = dsmean.ndarray( x.length, x, 1, 0 );
+// returns ~0.33333
 ```
 
 The function has the following additional parameters:
@@ -110,6 +118,9 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+
+var v = dsmean.ndarray( 4, x, 2, 1 );
+// returns 1.25
 ```
 
 </section>
@@ -171,7 +182,7 @@ console.log( v );
 Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
 
 ```c
-const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 double v = stdlib_strided_dsmean( 4, x, 2 );
 // returns 1.25
@@ -192,7 +203,7 @@ double stdlib_strided_dsmean( const CBLAS_INT N, const double *X, const CBLAS_IN
 Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
-const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 double v = stdlib_strided_dsmean_ndarray( 4, x, 2, 0 );
 // returns 1.25
@@ -233,13 +244,13 @@ double stdlib_strided_dsmean_ndarray( const CBLAS_INT N, const double *X, const
 
 int main( void ) {
     // Create a strided array:
-    float x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+    const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
     // Specify the number of elements:
     const int N = 4;
 
     // Specify the stride length:
-    const int stride = 2;
+    const int strideX = 2;
 
     // Compute the arithmetic mean:
     double v = stdlib_strided_dsmean( N, x, strideX );

lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js

@@ -21,22 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/dsmean.js' );
 
 
-// VARIABLES //
-
-var options = {
-	'dtype': 'float32'
-};
-
-
 // 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.
 *
@@ -45,7 +53,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js

@@ -22,7 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -35,13 +37,23 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/dsmean.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
-var options = {
-	'dtype': 'float32'
-};
 
 
 // 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.
 *
@@ -50,7 +62,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js

@@ -21,22 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/ndarray.js' );
 
 
-// VARIABLES //
-
-var options = {
-	'dtype': 'float32'
-};
-
-
 // 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.
 *
@@ -45,7 +53,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js

@@ -22,7 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -35,13 +37,23 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
-var options = {
-	'dtype': 'float32'
-};
 
 
 // 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.
 *
@@ -50,7 +62,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {

lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js

@@ -18,12 +18,18 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var randu = require( '@stdlib/random/base/randu' );
+var round = require( '@stdlib/math/base/special/round' );
+var Float32Array = require( '@stdlib/array/float32' );
 var dsmean = require( './../lib' );
 
-var x = discreteUniform( 10, -50, 50, {
-	'dtype': 'float32'
-});
+var x;
+var i;
+
+x = new Float32Array( 10 );
+for ( i = 0; i < x.length; i++ ) {
+	x[ i ] = round( (randu()*100.0) - 50.0 );
+}
 console.log( x );
 
 var v = dsmean( x.length, x, 1 );

lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.

lib/node_modules/@stdlib/stats/base/dsmean/src/main.c

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -24,10 +24,10 @@
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
 *
-* @param N       number of indexed elements
-* @param X       input array
-* @param stride  stride length
-* @return        output value
+* @param N        number of indexed elements
+* @param X        input array
+* @param strideX  stride length
+* @return         output value
 */
 double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
 	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );