diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/README.md new file mode 100644 index 000000000000..9508e864484e --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/README.md @@ -0,0 +1,127 @@ + + +# gwxpy + +> Add elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assign the results to elements in a third one-dimensional ndarray. + +
+ +This BLAS extension implements the operation + + + +```math +\mathbf{w} = \mathbf{x} + \mathbf{y} +``` + + + +
+ + + +
+ +## Usage + +```javascript +var gwxpy = require( '@stdlib/blas/ext/base/ndarray/gwxpy' ); +``` + +#### gwxpy( arrays ) + +Adds elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assigns the results to elements in a third one-dimensional ndarray. + +```javascript +var vector = require( '@stdlib/ndarray/vector/ctor' ); + +var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' ); +var y = vector( [ 2.0, 3.0, 4.0, 5.0, 6.0 ], 'generic' ); +var w = vector( [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'generic' ); + +gwxpy( [ x, y, w ] ); +// w => [ 3.0, 5.0, 7.0, 9.0, 11.0 ] +``` + +The function has the following parameters: + +- **arrays**: array-like object containing the following ndarrays: + + - first one-dimensional input ndarray. + - second one-dimensional input ndarray. + - a one-dimensional output ndarray. + +
+ + + +
+ +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/discrete-uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var gwxpy = require( '@stdlib/blas/ext/base/ndarray/gwxpy' ); + +var opts = { + 'dtype': 'generic' +}; + +var x = discreteUniform( [ 10 ], -100, 100, opts ); +console.log( ndarray2array( x ) ); + +var y = discreteUniform( [ 10 ], -100, 100, opts ); +console.log( ndarray2array( y ) ); + +var w = discreteUniform( [ 10 ], -100, 100, opts ); + +gwxpy( [ x, y, w ] ); +console.log( ndarray2array( w ) ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/benchmark/benchmark.js new file mode 100644 index 000000000000..b0d22e930339 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/benchmark/benchmark.js @@ -0,0 +1,104 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/uniform' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var gwxpy = require( './../lib' ); + + +// VARIABLES // + +var options = { + 'dtype': 'generic' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = uniform( [ len ], -100.0, 100.0, options ); + var y = uniform( [ len ], -100.0, 100.0, options ); + var w = uniform( [ len ], -100.0, 100.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var out; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + out = gwxpy( [ x, y, w ] ); + if ( typeof out !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( typeof out !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + 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( format( '%s:len=%d', pkg, len ), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/repl.txt new file mode 100644 index 000000000000..8a7bdc4bfc8b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/repl.txt @@ -0,0 +1,33 @@ + +{{alias}}( arrays ) + Adds elements of a one-dimensional ndarray to the corresponding elements of + a second one-dimensional ndarray and assigns the results to elements in a + third one-dimensional ndarray. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing the following ndarrays: + + - first one-dimensional input ndarray. + - second one-dimensional input ndarray. + - a one-dimensional output ndarray. + + Returns + ------- + out: ndarray + Output ndarray. + + Examples + -------- + > var xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; + > var x = {{alias:@stdlib/ndarray/vector/ctor}}( xbuf, 'generic' ); + > var ybuf = [ 2.0, 3.0, 4.0, 5.0 ]; + > var y = {{alias:@stdlib/ndarray/vector/ctor}}( ybuf, 'generic' ); + > var wbuf = [ 0.0, 0.0, 0.0, 0.0 ]; + > var w = {{alias:@stdlib/ndarray/vector/ctor}}( wbuf, 'generic' ); + > {{alias}}( [ x, y, w ] ) + [ 3.0, 5.0, 7.0, 9.0 ] + + See Also + -------- diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/types/index.d.ts new file mode 100644 index 000000000000..9e5878f80221 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/types/index.d.ts @@ -0,0 +1,54 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2026 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 { typedndarray } from '@stdlib/types/ndarray'; + +/** +* Adds elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assigns the results to elements in a third one-dimensional ndarray. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - first one-dimensional input ndarray. +* - second one-dimensional input ndarray. +* - a one-dimensional output ndarray. +* +* @param arrays - array-like object containing ndarrays +* @returns output ndarray +* +* @example +* var vector = require( '@stdlib/ndarray/vector/ctor' ); +* +* var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' ); +* var y = vector( [ 2.0, 3.0, 4.0, 5.0, 6.0 ], 'generic' ); +* var w = vector( [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'generic' ); +* +* var out = gwxpy( [ x, y, w ] ); +* // returns [ 3.0, 5.0, 7.0, 9.0, 11.0 ] +*/ +declare function gwxpy = typedndarray>( arrays: [ typedndarray, typedndarray, T ] ): T; + + +// EXPORTS // + +export = gwxpy; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/types/test.ts new file mode 100644 index 000000000000..fe7f77080fec --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/docs/types/test.ts @@ -0,0 +1,69 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2026 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 gwxpy = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + const x = zeros( [ 10 ], { + 'dtype': 'generic' + }); + const y = zeros( [ 10 ], { + 'dtype': 'generic' + }); + const w = zeros( [ 10 ], { + 'dtype': 'generic' + }); + + gwxpy( [ x, y, w ] ); // $ExpectType genericndarray +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + gwxpy( '10' ); // $ExpectError + gwxpy( 5 ); // $ExpectError + gwxpy( true ); // $ExpectError + gwxpy( false ); // $ExpectError + gwxpy( null ); // $ExpectError + gwxpy( undefined ); // $ExpectError + gwxpy( [] ); // $ExpectError + gwxpy( {} ); // $ExpectError + gwxpy( ( 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' + }); + const y = zeros( [ 10 ], { + 'dtype': 'generic' + }); + const w = zeros( [ 10 ], { + 'dtype': 'generic' + }); + + gwxpy(); // $ExpectError + gwxpy( [ x, y, w ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/examples/index.js new file mode 100644 index 000000000000..7412c681174b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/examples/index.js @@ -0,0 +1,38 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/discrete-uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var gwxpy = require( './../lib' ); + +var opts = { + 'dtype': 'generic' +}; + +var x = discreteUniform( [ 10 ], -100, 100, opts ); +console.log( ndarray2array( x ) ); + +var y = discreteUniform( [ 10 ], -100, 100, opts ); +console.log( ndarray2array( y ) ); + +var w = discreteUniform( [ 10 ], -100, 100, opts ); + +gwxpy( [ x, y, w ] ); +console.log( ndarray2array( w ) ); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/lib/index.js new file mode 100644 index 000000000000..b05d2ffb99a8 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/lib/index.js @@ -0,0 +1,45 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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'; + +/** +* Add elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assign the results to elements in a third one-dimensional ndarray. +* +* @module @stdlib/blas/ext/base/ndarray/gwxpy +* +* @example +* var vector = require( '@stdlib/ndarray/vector/ctor' ); +* var gwxpy = require( '@stdlib/blas/ext/base/ndarray/gwxpy' ); +* +* var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' ); +* var y = vector( [ 2.0, 3.0, 4.0, 5.0, 6.0 ], 'generic' ); +* var w = vector( [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'generic' ); +* +* var out = gwxpy( [ x, y, w ] ); +* // returns [ 3.0, 5.0, 7.0, 9.0, 11.0 ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/lib/main.js new file mode 100644 index 000000000000..a5783a7925ff --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/lib/main.js @@ -0,0 +1,71 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/blas/ext/base/gwxpy' ).ndarray; + + +// MAIN // + +/** +* Adds elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assigns the results to elements in a third one-dimensional ndarray. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - first one-dimensional input ndarray. +* - second one-dimensional input ndarray. +* - a one-dimensional output ndarray. +* +* @param {ArrayLikeObject} arrays - array-like object containing ndarrays +* @returns {ndarray} output ndarray +* +* @example +* var vector = require( '@stdlib/ndarray/vector/ctor' ); +* +* var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' ); +* var y = vector( [ 2.0, 3.0, 4.0, 5.0, 6.0 ], 'generic' ); +* var w = vector( [ 0.0, 0.0, 0.0, 0.0, 0.0 ], 'generic' ); +* +* var out = gwxpy( [ x, y, w ] ); +* // returns [ 3.0, 5.0, 7.0, 9.0, 11.0 ] +*/ +function gwxpy( arrays ) { + var x; + var y; + var w; + + x = arrays[ 0 ]; + y = arrays[ 1 ]; + w = arrays[ 2 ]; + strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ), getData( w ), getStride( w, 0 ), getOffset( w ) ); // eslint-disable-line max-len + return w; +} + + +// EXPORTS // + +module.exports = gwxpy; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/package.json new file mode 100644 index 000000000000..e5c69015f203 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/package.json @@ -0,0 +1,70 @@ +{ + "name": "@stdlib/blas/ext/base/ndarray/gwxpy", + "version": "0.0.0", + "description": "Add elements of a one-dimensional ndarray to the corresponding elements of a second one-dimensional ndarray and assign the results to elements in a third one-dimensional ndarray.", + "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", + "mathematics", + "math", + "blas", + "extended", + "ext", + "gwxpy", + "wxpy", + "add", + "addition", + "vector", + "strided", + "array", + "ndarray", + "generic" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/test/test.js new file mode 100644 index 000000000000..ec6fa334fa8d --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gwxpy/test/test.js @@ -0,0 +1,291 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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 ndarray = require( '@stdlib/ndarray/base/ctor' ); +var gwxpy = 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 gwxpy, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( gwxpy.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function adds `x` to `y` and assigns the results to `w`', function test( t ) { + var expected; + var actual; + var wbuf; + var xbuf; + var ybuf; + var w; + var x; + var y; + + xbuf = [ -2.0, 1.0, 3.0, -5.0, 4.0 ]; + ybuf = [ 1.0, 2.0, -3.0, 4.0, -1.0 ]; + wbuf = [ 0.0, 0.0, 0.0, 0.0, 0.0 ]; + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + w = vector( wbuf, 5, 1, 0 ); + expected = [ + -1.0, // -2.0 + 1.0 + 3.0, // 1.0 + 2.0 + 0.0, // 3.0 + (-3.0) + -1.0, // -5.0 + 4.0 + 3.0 // 4.0 + (-1.0) + ]; + + actual = gwxpy( [ x, y, w ] ); + t.strictEqual( actual, w, 'returns expected value' ); + t.deepEqual( wbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having non-unit strides', function test( t ) { + var expected; + var actual; + var wbuf; + var xbuf; + var ybuf; + var w; + var x; + var y; + + xbuf = [ + -2.0, // 0 + 1.0, + 3.0, // 1 + -5.0, + 4.0, // 2 + 0.0, + -1.0, // 3 + -3.0 + ]; + ybuf = [ + 1.0, // 0 + 2.0, + -3.0, // 1 + 4.0, + -1.0, // 2 + 0.0, + 3.0, // 3 + 2.0 + ]; + wbuf = [ 0.0, 10.0, 0.0, 10.0, 0.0, 10.0, 0.0, 10.0 ]; + x = vector( xbuf, 4, 2, 0 ); + y = vector( ybuf, 4, 2, 0 ); + w = vector( wbuf, 4, 2, 0 ); + expected = [ + -1.0, // -2.0 + 1.0 + 10.0, + 0.0, // 3.0 + (-3.0) + 10.0, + 3.0, // 4.0 + (-1.0) + 10.0, + 2.0, // -1.0 + 3.0 + 10.0 + ]; + + actual = gwxpy( [ x, y, w ] ); + t.strictEqual( actual, w, 'returns expected value' ); + t.deepEqual( wbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having negative strides', function test( t ) { + var expected; + var actual; + var wbuf; + var xbuf; + var ybuf; + var w; + var x; + var y; + + xbuf = [ + -2.0, // 4 + 1.0, // 3 + 3.0, // 2 + -5.0, // 1 + 4.0 // 0 + ]; + ybuf = [ + 1.0, // 4 + 2.0, // 3 + -3.0, // 2 + 4.0, // 1 + -1.0 // 0 + ]; + wbuf = [ 0.0, 0.0, 0.0, 0.0, 0.0 ]; + x = vector( xbuf, 5, -1, 4 ); + y = vector( ybuf, 5, -1, 4 ); + w = vector( wbuf, 5, -1, 4 ); + expected = [ + -1.0, // -2.0 + 1.0 + 3.0, // 1.0 + 2.0 + 0.0, // 3.0 + (-3.0) + -1.0, // -5.0 + 4.0 + 3.0 // 4.0 + (-1.0) + ]; + + actual = gwxpy( [ x, y, w ] ); + t.strictEqual( actual, w, 'returns expected value' ); + t.deepEqual( wbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having non-zero offsets', function test( t ) { + var expected; + var actual; + var wbuf; + var xbuf; + var ybuf; + var w; + var x; + var y; + + xbuf = [ + 1.0, + -2.0, + 3.0, // 0 + -5.0, // 1 + 4.0, // 2 + 0.0 + ]; + ybuf = [ + 1.0, + -2.0, + 0.0, // 0 + 4.0, // 1 + -1.0, // 2 + 0.0 + ]; + wbuf = [ 10.0, 10.0, 0.0, 0.0, 0.0, 10.0 ]; + x = vector( xbuf, 3, 1, 2 ); + y = vector( ybuf, 3, 1, 2 ); + w = vector( wbuf, 3, 1, 2 ); + expected = [ + 10.0, + 10.0, + 3.0, // 3.0 + 0.0 + -1.0, // -5.0 + 4.0 + 3.0, // 4.0 + (-1.0) + 10.0 + ]; + + actual = gwxpy( [ x, y, w ] ); + t.strictEqual( actual, w, 'returns expected value' ); + t.deepEqual( wbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having different strides and offsets', function test( t ) { + var expected; + var actual; + var wbuf; + var xbuf; + var ybuf; + var w; + var x; + var y; + + xbuf = [ 1.0, 100.0, 2.0, 100.0, 3.0, 100.0, 4.0 ]; + ybuf = [ 40.0, 30.0, 20.0, 10.0 ]; + wbuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ]; + x = vector( xbuf, 4, 2, 0 ); + y = vector( ybuf, 4, -1, 3 ); + w = vector( wbuf, 4, 3, 1 ); + expected = [ + 0.0, + 11.0, + 0.0, + 0.0, + 22.0, + 0.0, + 0.0, + 33.0, + 0.0, + 0.0, + 44.0, + 0.0 + ]; + + actual = gwxpy( [ x, y, w ] ); + t.strictEqual( actual, w, 'returns expected value' ); + t.deepEqual( wbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns the output ndarray unchanged when the input ndarrays are empty', function test( t ) { + var expected; + var actual; + var wbuf; + var xbuf; + var ybuf; + var w; + var x; + var y; + + xbuf = []; + ybuf = []; + wbuf = []; + x = vector( xbuf, 0, 1, 0 ); + y = vector( ybuf, 0, 1, 0 ); + w = vector( wbuf, 0, 1, 0 ); + expected = []; + + actual = gwxpy( [ x, y, w ] ); + t.strictEqual( actual, w, 'returns expected value' ); + t.deepEqual( wbuf, expected, 'returns expected value' ); + + t.end(); +});