diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/README.md new file mode 100644 index 000000000000..521f0e54ebb0 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/README.md @@ -0,0 +1,118 @@ + + +# sswap + +> Interchange two one-dimensional single-precision floating-point ndarrays. + +
+ +
+ + + +
+ +## Usage + +```javascript +var sswap = require( '@stdlib/blas/base/ndarray/sswap' ); +``` + +#### sswap( arrays ) + +Interchanges two one-dimensional single-precision floating-point ndarrays. + +```javascript +var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); + +var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +var y = new Float32Vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + +var z = sswap( [ x, y ] ); +// x => [ 6.0, 7.0, 8.0, 9.0, 10.0 ] +// y => [ 1.0, 2.0, 3.0, 4.0, 5.0 ] + +var bool = ( z === y ); +// returns true +``` + +The function has the following parameters: + +- **arrays**: array-like object containing the following ndarrays: + + - first one-dimensional input ndarray. + - second one-dimensional input ndarray. + +
+ + + +
+ +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/discrete-uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var sswap = require( '@stdlib/blas/base/ndarray/sswap' ); + +var opts = { + 'dtype': 'float32' +}; + +var x = discreteUniform( [ 10 ], 0, 100, opts ); +console.log( ndarray2array( x ) ); + +var y = discreteUniform( [ 10 ], 0, 100, opts ); +console.log( ndarray2array( y ) ); + +var out = sswap( [ x, y ] ); +console.log( ndarray2array( x ) ); +console.log( ndarray2array( out ) ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/benchmark/benchmark.js new file mode 100644 index 000000000000..f33bc9e19877 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/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 isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var sswap = 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 x = uniform( [ len ], -100.0, 100.0, options ); + var y = uniform( [ len ], -100.0, 100.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var z; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + z = sswap( [ x, y ] ); + if ( typeof z !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( isnanf( z.get( i%len ) ) ) { + 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( format( '%s:len=%d', pkg, len ), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/repl.txt new file mode 100644 index 000000000000..0afae341e520 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/repl.txt @@ -0,0 +1,34 @@ + +{{alias}}( arrays ) + Interchanges two one-dimensional single-precision floating-point ndarrays. + + If provided an empty input ndarray, the function returns the output ndarray + unchanged. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing the following ndarrays: + + - first one-dimensional input ndarray. + - second one-dimensional input ndarray. + + Returns + ------- + out: ndarray + The second input ndarray. + + Examples + -------- + > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 4.0, 2.0, -3.0 ] ); + > var y = new {{alias:@stdlib/ndarray/vector/float32}}( [ 0.0, 0.0, 0.0 ] ); + + > {{alias}}( [ x, y ] ); + > x + [ 0.0, 0.0, 0.0 ] + > y + [ 4.0, 2.0, -3.0 ] + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/types/index.d.ts new file mode 100644 index 000000000000..e413bf39cfbd --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/types/index.d.ts @@ -0,0 +1,56 @@ +/* +* @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 { float32ndarray } from '@stdlib/types/ndarray'; + +/** +* Interchanges two one-dimensional single-precision floating-point ndarrays. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - first one-dimensional input ndarray. +* - second one-dimensional input ndarray. +* +* @param arrays - array-like object containing ndarrays +* @returns second input ndarray +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* +* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* var y = new Float32Vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); +* +* var z = sswap( [ x, y ] ); +* // x => [ 6.0, 7.0, 8.0, 9.0, 10.0 ] +* // y => [ 1.0, 2.0, 3.0, 4.0, 5.0 ] +* +* var bool = ( z === y ); +* // returns true +*/ +declare function sswap( arrays: [ float32ndarray, float32ndarray ] ): float32ndarray; + + +// EXPORTS // + +export = sswap; diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/types/test.ts new file mode 100644 index 000000000000..ca09fc95bd0b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/docs/types/test.ts @@ -0,0 +1,63 @@ +/* +* @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 sswap = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float32' + }); + const y = zeros( [ 10 ], { + 'dtype': 'float32' + }); + + sswap( [ x, y ] ); // $ExpectType float32ndarray +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + sswap( '10' ); // $ExpectError + sswap( 10 ); // $ExpectError + sswap( true ); // $ExpectError + sswap( false ); // $ExpectError + sswap( null ); // $ExpectError + sswap( undefined ); // $ExpectError + sswap( [] ); // $ExpectError + sswap( {} ); // $ExpectError + sswap( ( 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' + }); + const y = zeros( [ 10 ], { + 'dtype': 'float32' + }); + + sswap(); // $ExpectError + sswap( [ x, y ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/examples/index.js new file mode 100644 index 000000000000..722c8ed370cb --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/examples/index.js @@ -0,0 +1,37 @@ +/** +* @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 sswap = require( './../lib' ); + +var opts = { + 'dtype': 'float32' +}; + +var x = discreteUniform( [ 10 ], 0, 100, opts ); +console.log( ndarray2array( x ) ); + +var y = discreteUniform( [ 10 ], 0, 100, opts ); +console.log( ndarray2array( y ) ); + +var out = sswap( [ x, y ] ); +console.log( ndarray2array( x ) ); +console.log( ndarray2array( out ) ); diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/lib/index.js new file mode 100644 index 000000000000..cff9ff1a7546 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/lib/index.js @@ -0,0 +1,48 @@ +/** +* @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'; + +/** +* BLAS level 1 routine to interchange two one-dimensional single-precision floating-point ndarrays. +* +* @module @stdlib/blas/base/ndarray/sswap +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* var sswap = require( '@stdlib/blas/base/ndarray/sswap' ); +* +* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* var y = new Float32Vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); +* +* var z = sswap( [ x, y ] ); +* // x => [ 6.0, 7.0, 8.0, 9.0, 10.0 ] +* // y => [ 1.0, 2.0, 3.0, 4.0, 5.0 ] +* +* var bool = ( z === y ); +* // returns true +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/lib/main.js new file mode 100644 index 000000000000..7c2daa4d52d4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/lib/main.js @@ -0,0 +1,68 @@ +/** +* @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/base/sswap' ).ndarray; + + +// MAIN // + +/** +* Interchanges two one-dimensional single-precision floating-point ndarrays. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - first one-dimensional input ndarray. +* - second one-dimensional input ndarray. +* +* @param {ArrayLikeObject} arrays - array-like object containing ndarrays +* @returns {Object} second input ndarray +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* +* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* var y = new Float32Vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); +* +* var z = sswap( [ x, y ] ); +* // x => [ 6.0, 7.0, 8.0, 9.0, 10.0 ] +* // y => [ 1.0, 2.0, 3.0, 4.0, 5.0 ] +* +* var bool = ( z === y ); +* // returns true +*/ +function sswap( arrays ) { + var x = arrays[ 0 ]; + var y = arrays[ 1 ]; + strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len + return y; +} + + +// EXPORTS // + +module.exports = sswap; diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/package.json new file mode 100644 index 000000000000..afa472f35ce4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/package.json @@ -0,0 +1,73 @@ +{ + "name": "@stdlib/blas/base/ndarray/sswap", + "version": "0.0.0", + "description": "Interchange two one-dimensional single-precision floating-point ndarrays.", + "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", + "level 1", + "sswap", + "linear", + "algebra", + "subroutines", + "dswap", + "gswap", + "swap", + "interchange", + "vector", + "array", + "ndarray", + "float32", + "single", + "float32array" + ] +} diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sswap/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/test/test.js new file mode 100644 index 000000000000..213173e19b02 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sswap/test/test.js @@ -0,0 +1,238 @@ +/** +* @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 isSameFloat32Array = require( '@stdlib/assert/is-same-float32array' ); +var Float32Array = require( '@stdlib/array/float32' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var sswap = 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 sswap, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( sswap.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function interchanges two one-dimensional ndarrays', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float32Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + + v = sswap( [ x, y ] ); + + expected = new Float32Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( x ), expected ), true, 'returns expected value' ); + + expected = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + + xbuf = new Float32Array( [ 1.0, 2.0 ] ); + ybuf = new Float32Array( [ 3.0, 4.0 ] ); + x = vector( xbuf, 2, 1, 0 ); + y = vector( ybuf, 2, 1, 0 ); + + v = sswap( [ x, y ] ); + + expected = new Float32Array( [ 3.0, 4.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( x ), expected ), true, 'returns expected value' ); + + expected = new Float32Array( [ 1.0, 2.0 ] ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided empty ndarrays, the function leaves both ndarrays unchanged', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float32Array( [] ); + ybuf = new Float32Array( [] ); + x = vector( xbuf, 0, 1, 0 ); + y = vector( ybuf, 0, 1, 0 ); + + v = sswap( [ x, y ] ); + + expected = new Float32Array( [] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( x ), expected ), true, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float32Array([ + 1.0, // 0 + 2.0, + 3.0, // 1 + 4.0, + 5.0 // 2 + ]); + x = vector( xbuf, 3, 2, 0 ); + + ybuf = new Float32Array([ + 6.0, // 0 + 7.0, // 1 + 8.0, // 2 + 9.0, + 10.0 + ]); + y = vector( ybuf, 3, 1, 0 ); + + v = sswap( [ x, y ] ); + + expected = new Float32Array( [ 6.0, 2.0, 7.0, 4.0, 8.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( x ), expected ), true, 'returns expected value' ); + + expected = new Float32Array( [ 1.0, 3.0, 5.0, 9.0, 10.0 ] ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float32Array([ + 1.0, // 2 + 2.0, + 3.0, // 1 + 4.0, + 5.0 // 0 + ]); + x = vector( xbuf, 3, -2, 4 ); + + ybuf = new Float32Array([ + 6.0, // 2 + 7.0, // 1 + 8.0, // 0 + 9.0, + 10.0 + ]); + y = vector( ybuf, 3, -1, 2 ); + + v = sswap( [ x, y ] ); + + expected = new Float32Array( [ 6.0, 2.0, 7.0, 4.0, 8.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( x ), expected ), true, 'returns expected value' ); + + expected = new Float32Array( [ 1.0, 3.0, 5.0, 9.0, 10.0 ] ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float32Array([ + 0.0, + 1.0, // 0 + 0.0, + 2.0, // 1 + 0.0, + 3.0, // 2 + 0.0, + 4.0 // 3 + ]); + x = vector( xbuf, 4, 2, 1 ); + + ybuf = new Float32Array([ + 0.0, + 0.0, + 5.0, // 0 + 6.0, // 1 + 7.0, // 2 + 8.0, // 3 + 0.0, + 0.0 + ]); + y = vector( ybuf, 4, 1, 2 ); + + v = sswap( [ x, y ] ); + + expected = new Float32Array( [ 0.0, 5.0, 0.0, 6.0, 0.0, 7.0, 0.0, 8.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( x ), expected ), true, 'returns expected value' ); + + expected = new Float32Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 0.0, 0.0 ] ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +});