From 99e3dcf84e5fcac6c43b7588d1427a81fd0c3dae Mon Sep 17 00:00:00 2001 From: iampratik13 Date: Thu, 27 Nov 2025 18:14:53 +0530 Subject: [PATCH 1/3] feat/add-stats-base-ndarray-smeanpw --- .../stats/base/ndarray/smeanpw/README.md | 144 +++++++++++++++ .../ndarray/smeanpw/benchmark/benchmark.js | 102 +++++++++++ .../docs/img/equation_arithmetic_mean.svg | 42 +++++ .../stats/base/ndarray/smeanpw/docs/repl.txt | 32 ++++ .../ndarray/smeanpw/docs/types/index.d.ts | 46 +++++ .../base/ndarray/smeanpw/docs/types/test.ts | 57 ++++++ .../base/ndarray/smeanpw/examples/index.js | 33 ++++ .../stats/base/ndarray/smeanpw/lib/index.js | 45 +++++ .../stats/base/ndarray/smeanpw/lib/main.js | 56 ++++++ .../stats/base/ndarray/smeanpw/package.json | 66 +++++++ .../stats/base/ndarray/smeanpw/test/test.js | 173 ++++++++++++++++++ 11 files changed, 796 insertions(+) create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/README.md create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/img/equation_arithmetic_mean.svg create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/examples/index.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/index.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/main.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/package.json create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/README.md new file mode 100644 index 000000000000..ff648d763e5b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/README.md @@ -0,0 +1,144 @@ + + +# smeanpw + +> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional single-precision floating-point ndarray using pairwise summation. + +
+ +The [arithmetic mean][arithmetic-mean] is defined as + + + +```math +\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i +``` + + + + + +
+ + + +
+ +## Usage + +```javascript +var smeanpw = require( '@stdlib/stats/base/ndarray/smeanpw' ); +``` + +#### smeanpw( arrays ) + +Computes the [arithmetic mean][arithmetic-mean] of a one-dimensional single-precision floating-point ndarray using pairwise summation. + +```javascript +var Float32Array = require( '@stdlib/array/float32' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); + +var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + +var v = smeanpw( [ x ] ); +// returns 2.5 +``` + +The function has the following parameters: + +- **arrays**: array-like object containing a one-dimensional input ndarray. + +
+ + + +
+ +## Notes + +- If provided an empty one-dimensional ndarray, the function returns `NaN`. +- In general, pairwise summation is more numerically stable than ordinary recursive summation (i.e., "simple" summation), with slightly worse performance. While not the most numerically stable summation technique (e.g., compensated summation techniques such as the Kahan–Babuška-Neumaier algorithm are generally more numerically stable), pairwise summation strikes a reasonable balance between numerical stability and performance. If either numerical stability or performance is more desirable for your use case, consider alternative summation techniques. + +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var smeanpw = require( '@stdlib/stats/base/ndarray/smeanpw' ); + +var xbuf = discreteUniform( 10, -50, 50, { + 'dtype': 'float32' +}); +var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var v = smeanpw( [ x ] ); +console.log( v ); +``` + +
+ + + +* * * + +
+ +## References + +- Higham, Nicholas J. 1993. "The Accuracy of Floating Point Summation." _SIAM Journal on Scientific Computing_ 14 (4): 783–99. doi:[10.1137/0914050][@higham:1993a]. + +
+ + + + + +
+ +
+ + + + + +
+ +[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean + +[@higham:1993a]: https://doi.org/10.1137/0914050 + +
+ + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js new file mode 100644 index 000000000000..ae531a8e7cac --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js @@ -0,0 +1,102 @@ +/** +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var pkg = require( './../package.json' ).name; +var smeanpw = require( './../lib' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float32' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var xbuf; + var x; + + xbuf = uniform( len, -10.0, 10.0, options ); + x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' ); + + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = smeanpw( [ x ] ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( pkg+':len='+len, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/img/equation_arithmetic_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/img/equation_arithmetic_mean.svg new file mode 100644 index 000000000000..c31439606fb6 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/img/equation_arithmetic_mean.svg @@ -0,0 +1,42 @@ + +mu equals StartFraction 1 Over n EndFraction sigma-summation Underscript i equals 0 Overscript n minus 1 Endscripts x Subscript i + + + \ No newline at end of file diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/repl.txt new file mode 100644 index 000000000000..38a1542f417a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/repl.txt @@ -0,0 +1,32 @@ + +{{alias}}( arrays ) + Computes the arithmetic mean of a one-dimensional single-precision floating- + point ndarray using pairwise summation. + + If provided an empty ndarray, the function returns `NaN`. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing a one-dimensional input ndarray. + + Returns + ------- + out: number + Arithmetic mean. + + Examples + -------- + > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] ); + > var dt = 'float32'; + > var sh = [ xbuf.length ]; + > var sx = [ 1 ]; + > var ox = 0; + > var ord = 'row-major'; + > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord ); + > {{alias}}( [ x ] ) + ~0.3333 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/index.d.ts new file mode 100644 index 000000000000..86e6e89a4ca9 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/index.d.ts @@ -0,0 +1,46 @@ +/* +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +// TypeScript Version: 4.1 + +/// + +import { float32ndarray } from '@stdlib/types/ndarray'; + +/** +* Computes the arithmetic mean of a one-dimensional single-precision floating-point ndarray using pairwise summation. +* +* @param arrays - array-like object containing an input ndarray +* @returns arithmetic mean +* +* @example +* var Float32Array = require( '@stdlib/array/float32' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = smeanpw( [ x ] ); +* // returns 2.5 +*/ +declare function smeanpw( arrays: [ float32ndarray ] ): number; + + +// EXPORTS // + +export = smeanpw; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/test.ts new file mode 100644 index 000000000000..b9327d252190 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/docs/types/test.ts @@ -0,0 +1,57 @@ +/* +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +/* eslint-disable space-in-parens */ + +import zeros = require( '@stdlib/ndarray/zeros' ); +import smeanpw = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float32' + }); + + smeanpw( [ x ] ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + smeanpw( '10' ); // $ExpectError + smeanpw( 10 ); // $ExpectError + smeanpw( true ); // $ExpectError + smeanpw( false ); // $ExpectError + smeanpw( null ); // $ExpectError + smeanpw( undefined ); // $ExpectError + smeanpw( [] ); // $ExpectError + smeanpw( {} ); // $ExpectError + smeanpw( ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float32' + }); + + smeanpw(); // $ExpectError + smeanpw( [ x ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/examples/index.js new file mode 100644 index 000000000000..de7c507e74a8 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/examples/index.js @@ -0,0 +1,33 @@ +/** +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var smeanpw = require( './../lib' ); + +var xbuf = discreteUniform( 10, -50, 50, { + 'dtype': 'float32' +}); +var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var v = smeanpw( [ x ] ); +console.log( v ); diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/index.js new file mode 100644 index 000000000000..945c2805593b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/index.js @@ -0,0 +1,45 @@ +/** +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +/** +* Compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using pairwise summation. +* +* @module @stdlib/stats/base/ndarray/smeanpw +* +* @example +* var Float32Array = require( '@stdlib/array/float32' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* var smeanpw = require( '@stdlib/stats/base/ndarray/smeanpw' ); +* +* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = smeanpw( [ x ] ); +* // returns 2.5 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/main.js new file mode 100644 index 000000000000..d4378a0b14a1 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/lib/main.js @@ -0,0 +1,56 @@ +/** +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' ); +var getStride = require( '@stdlib/ndarray/base/stride' ); +var getOffset = require( '@stdlib/ndarray/base/offset' ); +var getData = require( '@stdlib/ndarray/base/data-buffer' ); +var strided = require( '@stdlib/stats/strided/smeanpw' ).ndarray; + + +// MAIN // + +/** +* Computes the arithmetic mean of a one-dimensional single-precision floating-point ndarray using pairwise summation. +* +* @param {ArrayLikeObject} arrays - array-like object containing an input ndarray +* @returns {number} arithmetic mean +* +* @example +* var Float32Array = require( '@stdlib/array/float32' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = new Float32Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = smeanpw( [ x ] ); +* // returns 2.5 +*/ +function smeanpw( arrays ) { + var x = arrays[ 0 ]; + return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len +} + + +// EXPORTS // + +module.exports = smeanpw; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/package.json new file mode 100644 index 000000000000..8e18c002bf58 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/package.json @@ -0,0 +1,66 @@ +{ + "name": "@stdlib/stats/base/ndarray/smeanpw", + "version": "0.0.0", + "description": "Compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using pairwise summation.", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "lib": "./lib", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdmath", + "statistics", + "stats", + "mathematics", + "math", + "average", + "avg", + "mean", + "arithmetic mean", + "central tendency", + "ndarray" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js new file mode 100644 index 000000000000..17a002e3d096 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js @@ -0,0 +1,173 @@ +/** +* @license Apache-2.0 +* +* 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. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' ); +var Float32Array = require( '@stdlib/array/float32' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var smeanpw = require( './../lib' ); + + +// FUNCTIONS // + +/** +* Returns a one-dimensional ndarray. +* +* @private +* @param {Collection} buffer - underlying data buffer +* @param {NonNegativeInteger} length - number of indexed elements +* @param {integer} stride - stride length +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function vector( buffer, length, stride, offset ) { + return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof smeanpw, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( smeanpw.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the arithmetic mean of a one-dimensional ndarray', function test( t ) { + var x; + var v; + + x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] ); + v = smeanpw( [ vector( x, 6, 1, 0 ) ] ); + t.strictEqual( v, 0.5, 'returns expected value' ); + + x = new Float32Array( [ -4.0, -5.0 ] ); + v = smeanpw( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( v, -4.5, 'returns expected value' ); + + x = new Float32Array( [ -0.0, 0.0, -0.0 ] ); + v = smeanpw( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + + x = new Float32Array( [ NaN ] ); + v = smeanpw( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = new Float32Array( [ NaN, NaN ] ); + v = smeanpw( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an empty ndarray, the function returns `NaN`', function test( t ) { + var x; + var v; + + x = new Float32Array( [] ); + + v = smeanpw( [ vector( x, 0, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an ndarray containing a single element, the function returns that element', function test( t ) { + var x; + var v; + + x = new Float32Array( [ 1.0 ] ); + + v = smeanpw( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) { + var x; + var v; + + x = new Float32Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0 + ]); + + v = smeanpw( [ vector( x, 4, 2, 0 ) ] ); + + t.strictEqual( v, 1.25, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) { + var x; + var v; + + x = new Float32Array([ + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]); + + v = smeanpw( [ vector( x, 4, -2, 6 ) ] ); + + t.strictEqual( v, 1.25, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) { + var x; + var v; + + x = new Float32Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0 // 3 + ]); + + v = smeanpw( [ vector( x, 4, 2, 1 ) ] ); + t.strictEqual( v, 1.25, 'returns expected value' ); + + t.end(); +}); From 81bb511fcdcd86037fd6e4656487fd41bca363f4 Mon Sep 17 00:00:00 2001 From: Athan Date: Fri, 28 Nov 2025 02:11:31 -0800 Subject: [PATCH 2/3] bench: use single-precision utils Signed-off-by: Athan --- .../stats/base/ndarray/smeanpw/benchmark/benchmark.js | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js index ae531a8e7cac..cf531dd342db 100644 --- a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/benchmark/benchmark.js @@ -22,7 +22,7 @@ var bench = require( '@stdlib/bench' ); var uniform = require( '@stdlib/random/array/uniform' ); -var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); var pow = require( '@stdlib/math/base/special/pow' ); var ndarray = require( '@stdlib/ndarray/base/ctor' ); var pkg = require( './../package.json' ).name; @@ -61,12 +61,12 @@ function createBenchmark( len ) { b.tic(); for ( i = 0; i < b.iterations; i++ ) { v = smeanpw( [ x ] ); - if ( isnan( v ) ) { + if ( isnanf( v ) ) { b.fail( 'should not return NaN' ); } } b.toc(); - if ( isnan( v ) ) { + if ( isnanf( v ) ) { b.fail( 'should not return NaN' ); } b.pass( 'benchmark finished' ); From fa0555c3cfa0c93cfe9e35c622a778fd16db0322 Mon Sep 17 00:00:00 2001 From: Athan Date: Fri, 28 Nov 2025 02:12:11 -0800 Subject: [PATCH 3/3] test: use single-precision utils Signed-off-by: Athan --- .../@stdlib/stats/base/ndarray/smeanpw/test/test.js | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js index 17a002e3d096..785f6160e9a8 100644 --- a/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/ndarray/smeanpw/test/test.js @@ -21,8 +21,8 @@ // MODULES // var tape = require( 'tape' ); -var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' ); var Float32Array = require( '@stdlib/array/float32' ); var ndarray = require( '@stdlib/ndarray/base/ctor' ); var smeanpw = require( './../lib' ); @@ -72,15 +72,15 @@ tape( 'the function calculates the arithmetic mean of a one-dimensional ndarray' x = new Float32Array( [ -0.0, 0.0, -0.0 ] ); v = smeanpw( [ vector( x, 3, 1, 0 ) ] ); - t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' ); x = new Float32Array( [ NaN ] ); v = smeanpw( [ vector( x, 1, 1, 0 ) ] ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.strictEqual( isnanf( v ), true, 'returns expected value' ); x = new Float32Array( [ NaN, NaN ] ); v = smeanpw( [ vector( x, 2, 1, 0 ) ] ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.strictEqual( isnanf( v ), true, 'returns expected value' ); t.end(); }); @@ -92,7 +92,7 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', function test( x = new Float32Array( [] ); v = smeanpw( [ vector( x, 0, 1, 0 ) ] ); - t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.strictEqual( isnanf( v ), true, 'returns expected value' ); t.end(); });