From 458a37f672544277ca2d8bc47df6fea9423b47b6 Mon Sep 17 00:00:00 2001 From: Sachin Pangal Date: Wed, 5 Nov 2025 22:57:08 +0530 Subject: [PATCH] feat: add stats/base/ndarray/meanors --- .../stats/base/ndarray/meanors/README.md | 129 +++++++++++++ .../ndarray/meanors/benchmark/benchmark.js | 102 +++++++++++ .../docs/img/equation_arithmetic_mean.svg | 42 +++++ .../stats/base/ndarray/meanors/docs/repl.txt | 32 ++++ .../ndarray/meanors/docs/types/index.d.ts | 45 +++++ .../base/ndarray/meanors/docs/types/test.ts | 57 ++++++ .../base/ndarray/meanors/examples/index.js | 33 ++++ .../stats/base/ndarray/meanors/lib/index.js | 44 +++++ .../stats/base/ndarray/meanors/lib/main.js | 55 ++++++ .../stats/base/ndarray/meanors/package.json | 67 +++++++ .../stats/base/ndarray/meanors/test/test.js | 172 ++++++++++++++++++ 11 files changed, 778 insertions(+) create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/README.md create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/img/equation_arithmetic_mean.svg create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/examples/index.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/index.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/main.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/package.json create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/meanors/test/test.js diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/README.md new file mode 100644 index 000000000000..e2aa68f81c96 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/README.md @@ -0,0 +1,129 @@ + + +# meanors + +> Compute the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using ordinary recursive summation. + +
+ +The [arithmetic mean][arithmetic-mean] is defined as + + + +```math +\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i +``` + + + + + +
+ + + +
+ +## Usage + +```javascript +var meanors = require( '@stdlib/stats/base/ndarray/meanors' ); +``` + +#### meanors( arrays ) + +Computes the [arithmetic mean][arithmetic-mean] of a one-dimensional ndarray using ordinary recursive summation. + +```javascript +var ndarray = require( '@stdlib/ndarray/base/ctor' ); + +var xbuf = [ 1.0, 3.0, 4.0, 2.0 ]; +var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + +var v = meanors( [ 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`. +- Ordinary recursive summation (i.e., "simple" summation) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation to compute the arithmetic mean is acceptable; in all other cases, exercise due caution. + +
+ + + +
+ +## 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 meanors = require( '@stdlib/stats/base/ndarray/meanors' ); + +var xbuf = discreteUniform( 10, -50, 50, { + 'dtype': 'generic' +}); +var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var v = meanors( [ x ] ); +console.log( v ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean + +
+ + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/benchmark/benchmark.js new file mode 100644 index 000000000000..1d778115fec2 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/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 meanors = require( './../lib' ); + + +// VARIABLES // + +var options = { + 'dtype': 'generic' +}; + + +// 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 = meanors( [ 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/meanors/docs/img/equation_arithmetic_mean.svg b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/img/equation_arithmetic_mean.svg new file mode 100644 index 000000000000..c31439606fb6 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/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/meanors/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/repl.txt new file mode 100644 index 000000000000..f995a1f21b8b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/repl.txt @@ -0,0 +1,32 @@ + +{{alias}}( arrays ) + Computes the arithmetic mean of a one-dimensional ndarray using ordinary + recursive 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 = [ 1.0, -2.0, 2.0 ]; + > var dt = 'generic'; + > 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/meanors/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/types/index.d.ts new file mode 100644 index 000000000000..8954f78a559b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/types/index.d.ts @@ -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. +*/ + +// TypeScript Version: 4.1 + +/// + +import { ndarray } from '@stdlib/types/ndarray'; + +/** +* Computes the arithmetic mean of a one-dimensional ndarray using ordinary recursive summation. +* +* @param arrays - array-like object containing an input ndarray +* @returns arithmetic mean +* +* @example +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = [ 1.0, 3.0, 4.0, 2.0 ]; +* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = meanors( [ x ] ); +* // returns 2.5 +*/ +declare function meanors( arrays: [ T ] ): number; + + +// EXPORTS // + +export = meanors; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/docs/types/test.ts new file mode 100644 index 000000000000..88382e22b51c --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/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 meanors = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + const x = zeros( [ 10 ], { + 'dtype': 'generic' + }); + + meanors( [ x ] ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + meanors( '10' ); // $ExpectError + meanors( 10 ); // $ExpectError + meanors( true ); // $ExpectError + meanors( false ); // $ExpectError + meanors( null ); // $ExpectError + meanors( undefined ); // $ExpectError + meanors( [] ); // $ExpectError + meanors( {} ); // $ExpectError + meanors( ( 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': 'generic' + }); + + meanors(); // $ExpectError + meanors( [ x ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/examples/index.js new file mode 100644 index 000000000000..b979ceb1d840 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/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 meanors = require( './../lib' ); + +var xbuf = discreteUniform( 10, -50, 50, { + 'dtype': 'generic' +}); +var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var v = meanors( [ x ] ); +console.log( v ); diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/index.js new file mode 100644 index 000000000000..3c5c54665f53 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/index.js @@ -0,0 +1,44 @@ +/** +* @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 ndarray using ordinary recursive summation. +* +* @module @stdlib/stats/base/ndarray/meanors +* +* @example +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* var meanors = require( '@stdlib/stats/base/ndarray/meanors' ); +* +* var xbuf = [ 1.0, 3.0, 4.0, 2.0 ]; +* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = meanors( [ x ] ); +* // returns 2.5 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/main.js new file mode 100644 index 000000000000..7f5cf9312291 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/lib/main.js @@ -0,0 +1,55 @@ +/** +* @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/meanors' ).ndarray; + + +// MAIN // + +/** +* Computes the arithmetic mean of a one-dimensional ndarray using ordinary recursive summation. +* +* @param {ArrayLikeObject} arrays - array-like object containing an input ndarray +* @returns {number} arithmetic mean +* +* @example +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = [ 1.0, 3.0, 4.0, 2.0 ]; +* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = meanors( [ x ] ); +* // returns 2.5 +*/ +function meanors( 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 = meanors; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/package.json new file mode 100644 index 000000000000..8fea8495517d --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/package.json @@ -0,0 +1,67 @@ +{ + "name": "@stdlib/stats/base/ndarray/meanors", + "version": "0.0.0", + "description": "Compute the arithmetic mean of a one-dimensional ndarray using ordinary recursive 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", + "ors", + "ndarray" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/meanors/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/test/test.js new file mode 100644 index 000000000000..8d343e18184a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/meanors/test/test.js @@ -0,0 +1,172 @@ +/** +* @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 ndarray = require( '@stdlib/ndarray/base/ctor' ); +var meanors = 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( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof meanors, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( meanors.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 = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ]; + v = meanors( [ vector( x, 6, 1, 0 ) ] ); + t.strictEqual( v, 0.5, 'returns expected value' ); + + x = [ -4.0, -5.0 ]; + v = meanors( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( v, -4.5, 'returns expected value' ); + + x = [ -0.0, 0.0, -0.0 ]; + v = meanors( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + + x = [ NaN ]; + v = meanors( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = [ NaN, NaN ]; + v = meanors( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an empty vector, the function returns `NaN`', function test( t ) { + var x; + var v; + + x = []; + + v = meanors( [ vector( x, 0, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided a vector containing a single element, the function returns that element', function test( t ) { + var x; + var v; + + x = [ 1.0 ]; + + v = meanors( [ 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 = [ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0 + ]; + + v = meanors( [ 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 = [ + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]; + + v = meanors( [ 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 = [ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0 // 3 + ]; + + v = meanors( [ vector( x, 4, 2, 1 ) ] ); + t.strictEqual( v, 1.25, 'returns expected value' ); + + t.end(); +});