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Author: dhruvilmehta

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

@@ -53,13 +53,12 @@ var meanpn = require( '@stdlib/stats/base/meanpn' );
 
 #### meanpn( N, x, strideX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a strided array `x` using a two-pass error correction algorithm.
+Computes the [arithmetic mean][arithmetic-mean] of a strided array using a two-pass error correction algorithm.
 
 ```javascript
 var x = [ 1.0, -2.0, 2.0 ];
-var N = x.length;
 
-var v = meanpn( N, x, 1 );
+var v = meanpn( x.length, x, 1 );
 // returns ~0.3333
 ```
 
@@ -69,15 +68,11 @@ The function has the following parameters:
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
 -   **strideX**: stride length for `x`.
 
-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 the input array,
+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 the input array
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
-var N = floor( x.length / 2 );
-
-var v = meanpn( N, x, 2 );
+var v = meanpn( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -87,14 +82,11 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = meanpn( N, x1, 2 );
+var v = meanpn( 4, x1, 2 );
 // returns 1.25
 ```
 
@@ -104,25 +96,21 @@ Computes the [arithmetic mean][arithmetic-mean] of a strided array using a two-p
 
 ```javascript
 var x = [ 1.0, -2.0, 2.0 ];
-var N = x.length;
 
-var v = meanpn.ndarray( N, x, 1, 0 );
+var v = meanpn.ndarray( x.length, x, 1, 0 );
 // returns ~0.33333
 ```
 
 The function has the following additional parameters:
 
 -   **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 [arithmetic mean][arithmetic-mean] 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 [arithmetic mean][arithmetic-mean] for every other value in the strided array starting from the second element
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
-
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = meanpn.ndarray( N, x, 2, 1 );
+var v = meanpn.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -135,6 +123,7 @@ var v = meanpn.ndarray( N, x, 2, 1 );
 ## Notes
 
 -   If `N <= 0`, both functions return `NaN`.
+-   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 -   Depending on the environment, the typed versions ([`dmeanpn`][@stdlib/stats/base/dmeanpn], [`smeanpn`][@stdlib/stats/base/smeanpn], etc.) are likely to be significantly more performant.
 
 </section>
@@ -210,6 +199,8 @@ console.log( v );
 
 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
 
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
 [@neely:1966a]: https://doi.org/10.1145/365719.365958
 
 [@schubert:2018a]: https://doi.org/10.1145/3221269.3223036

lib/node_modules/@stdlib/stats/base/meanpn/docs/repl.txt

@@ -32,22 +32,18 @@
     // Standard Usage:
     > var x = [ 1.0, -2.0, 2.0 ];
     > {{alias}}( x.length, x, 1 )
-    ~0.3333
+    0.3333333333333333
 
     // Using `N` and `stride` parameters:
     > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
-    ~0.3333
+    > {{alias}}( 3, x, 2 )
+    0.3333333333333333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
-    ~-0.3333
+    > {{alias}}( 6, x1, 2 )
+    NaN
 
 
 {{alias}}.ndarray( N, x, strideX, offsetX )
@@ -86,8 +82,7 @@
 
     // Using offset parameter:
     > var x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ];
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 
     See Also

lib/node_modules/@stdlib/stats/base/meanpn/docs/types/index.d.ts

@@ -1,7 +1,7 @@
 /*
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2020 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/meanpn/examples/index.js

@@ -21,7 +21,7 @@
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var meanpn = require( './../lib' );
 
-var x = discreteUniform( 10, 0, 100, {
+var x = discreteUniform( 10, -50, 50, {
 	'dtype': 'float64'
 });
 console.log( x );

lib/node_modules/@stdlib/stats/base/meanpn/lib/accessors.js

@@ -28,22 +28,20 @@ var gapxsumpw = require( '@stdlib/blas/ext/base/gapxsumpw' ).ndarray;
 
 /**
 * Computes the arithmetic mean of a strided array using a two-pass error correction algorithm.
-*
+* @private
 * @param {PositiveInteger} N - number of indexed elements
-* @param {NumericArray} x - input array
+* @param {NumericArray} x - input array object
 * @param {integer} strideX - stride length
 * @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} arithmetic mean
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 * var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
 *
-* var x = toAccessorArray([ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ]);
-* var N = floor( x.length / 2 );
+* var x = toAccessorArray( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 *
-* var v = meanpn( N, arraylike2object(x), 2, 1 );
+* var v = meanpn( 4, arraylike2object( x ), 2, 1 );
 * // returns 1.25
 */
 function meanpn( N, x, strideX, offsetX ) {

lib/node_modules/@stdlib/stats/base/meanpn/lib/index.js

@@ -33,13 +33,11 @@
 * // returns ~0.3333
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var meanpn = require( '@stdlib/stats/base/meanpn' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-* var N = floor( x.length / 2 );
 *
-* var v = meanpn.ndarray( N, x, 2, 1 );
+* var v = meanpn.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 

lib/node_modules/@stdlib/stats/base/meanpn/lib/main.js

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2020 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/meanpn/lib/ndarray.js

@@ -47,12 +47,10 @@ var accessors = require( './accessors.js' );
 * @returns {number} arithmetic mean
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-* var N = floor( x.length / 2 );
 *
-* var v = meanpn( N, x, 2, 1 );
+* var v = meanpn( 4, x, 2, 1 );
 * // returns 1.25
 */
 function meanpn( N, x, strideX, offsetX ) {

lib/node_modules/@stdlib/stats/base/meanpn/test/test.meanpn.js

@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
@@ -47,12 +46,12 @@ tape( 'the function calculates the arithmetic mean of a strided array (accessors
 
 	x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
 
-	v = meanpn( x.length, toAccessorArray(x), 1 );
+	v = meanpn( x.length, toAccessorArray( x ), 1 );
 	t.strictEqual( v, 0.5, 'returns expected value' );
 
 	x = [ -4.0 ];
 
-	v = meanpn( x.length, toAccessorArray(x), 1 );
+	v = meanpn( x.length, toAccessorArray( x ), 1 );
 	t.strictEqual( v, -4.0, 'returns expected value' );
 
 	t.end();
@@ -103,7 +102,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -118,15 +116,34 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = meanpn( N, x, 2 );
+	v = meanpn( 4, x, 2 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	];
+
+	v = meanpn( 4, toAccessorArray( x ), 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -141,8 +158,28 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	];
 
-	N = floor( x.length / 2 );
-	v = meanpn( N, x, -2 );
+	v = meanpn( 4, x, -2 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+
+	v = meanpn( 4, toAccessorArray( x ), -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -160,10 +197,21 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 	t.end();
 });
 
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element (accessors)', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+	v = meanpn( x.length, toAccessorArray( x ), 0 );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -179,9 +227,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = meanpn( N, x1, 2 );
+	v = meanpn( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();