diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/README.md new file mode 100644 index 000000000000..f122eacac314 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/README.md @@ -0,0 +1,122 @@ + + +# sunitspace + +> Fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. + +
+ +
+ + + +
+ +## Usage + +```javascript +var sunitspace = require( '@stdlib/blas/ext/base/ndarray/sunitspace' ); +``` + +#### sunitspace( arrays ) + +Fills a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. + +```javascript +var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); + +var x = new Float32Vector( [ 0.0, 0.0, 0.0, 0.0 ] ); +// returns [ 0.0, 0.0, 0.0, 0.0 ] + +var start = scalar2ndarray( 3.0, { + 'dtype': 'float32' +}); + +var out = sunitspace( [ x, start ] ); +// returns [ 3.0, 4.0, 5.0, 6.0 ] +``` + +The function has the following parameters: + +- **arrays**: array-like object containing the following ndarrays: + + - a one-dimensional input ndarray. + - a zero-dimensional ndarray containing a starting value. + +
+ + + +
+ +## Notes + +- The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**). + +
+ + + +
+ +## Examples + + + +```javascript +var zeros = require( '@stdlib/ndarray/zeros' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var sunitspace = require( '@stdlib/blas/ext/base/ndarray/sunitspace' ); + +var opts = { + 'dtype': 'float32' +}; + +var x = zeros( [ 10 ], opts ); +console.log( ndarray2array( x ) ); + +var start = scalar2ndarray( 3.0, opts ); + +sunitspace( [ x, start ] ); +console.log( ndarray2array( x ) ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/benchmark/benchmark.js new file mode 100644 index 000000000000..c218376c7a5e --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/benchmark/benchmark.js @@ -0,0 +1,108 @@ +/** +* @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 zeros = require( '@stdlib/ndarray/zeros' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var sunitspace = 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 start; + var x; + + start = scalar2ndarray( 3.0, options ); + x = zeros( [ len ], 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 = sunitspace( [ x, start ] ); + 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/sunitspace/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/repl.txt new file mode 100644 index 000000000000..997e50eed859 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/repl.txt @@ -0,0 +1,31 @@ + +{{alias}}( arrays ) + Fills a one-dimensional single-precision floating-point ndarray with + linearly spaced numeric elements which increment by `1` starting from a + specified value. + + The input ndarray is modified *in-place* (i.e., the input ndarray is + *mutated*). + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing the following ndarrays: + + - a one-dimensional input ndarray. + - a zero-dimensional ndarray containing a starting value. + + Returns + ------- + out: ndarray + Input ndarray. + + Examples + -------- + > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 0.0, 0.0, 0.0, 0.0 ] ); + > var start = {{alias:@stdlib/ndarray/from-scalar}}( 3.0, { 'dtype': 'float32' } ); + > {{alias}}( [ x, start ] ) + [ 3.0, 4.0, 5.0, 6.0 ] + + See Also + -------- diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/types/index.d.ts new file mode 100644 index 000000000000..62ff8ebd3cf0 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/types/index.d.ts @@ -0,0 +1,57 @@ +/* +* @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'; + +/** +* Fills a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - a one-dimensional input ndarray. +* - a zero-dimensional ndarray containing a starting value. +* +* @param arrays - array-like object containing ndarrays +* @returns input ndarray +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +* +* var x = new Float32Vector( [ 0.0, 0.0, 0.0, 0.0 ] ); +* // returns [ 0.0, 0.0, 0.0, 0.0 ] +* +* var start = scalar2ndarray( 3.0, { +* 'dtype': 'float32' +* }); +* +* var out = sunitspace( [ x, start ] ); +* // returns [ 3.0, 4.0, 5.0, 6.0 ] +*/ +declare function sunitspace( arrays: [ float32ndarray, float32ndarray ] ): float32ndarray; + + +// EXPORTS // + +export = sunitspace; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/docs/types/test.ts new file mode 100644 index 000000000000..0b68907df017 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/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 sunitspace = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float32' + }); + const start = zeros( [], { + 'dtype': 'float32' + }); + + sunitspace( [ x, start ] ); // $ExpectType float32ndarray +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + sunitspace( '10' ); // $ExpectError + sunitspace( 10 ); // $ExpectError + sunitspace( true ); // $ExpectError + sunitspace( false ); // $ExpectError + sunitspace( null ); // $ExpectError + sunitspace( undefined ); // $ExpectError + sunitspace( [] ); // $ExpectError + sunitspace( {} ); // $ExpectError + sunitspace( ( 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 start = zeros( [], { + 'dtype': 'float32' + }); + + sunitspace(); // $ExpectError + sunitspace( [ x, start ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/examples/index.js new file mode 100644 index 000000000000..5175b93b1f96 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/examples/index.js @@ -0,0 +1,36 @@ +/** +* @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 zeros = require( '@stdlib/ndarray/zeros' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var sunitspace = require( './../lib' ); + +var opts = { + 'dtype': 'float32' +}; + +var x = zeros( [ 10 ], opts ); +console.log( ndarray2array( x ) ); + +var start = scalar2ndarray( 3.0, opts ); + +sunitspace( [ x, start ] ); +console.log( ndarray2array( x ) ); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/lib/index.js new file mode 100644 index 000000000000..2b7511aefbc3 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/lib/index.js @@ -0,0 +1,49 @@ +/** +* @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'; + +/** +* Fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +* +* @module @stdlib/blas/ext/base/ndarray/sunitspace +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +* var sunitspace = require( '@stdlib/blas/ext/base/ndarray/sunitspace' ); +* +* var x = new Float32Vector( [ 0.0, 0.0, 0.0, 0.0 ] ); +* // returns [ 0.0, 0.0, 0.0, 0.0 ] +* +* var start = scalar2ndarray( 3.0, { +* 'dtype': 'float32' +* }); +* +* var out = sunitspace( [ x, start ] ); +* // returns [ 3.0, 4.0, 5.0, 6.0 ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/lib/main.js new file mode 100644 index 000000000000..221b33976b90 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/lib/main.js @@ -0,0 +1,70 @@ +/** +* @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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' ); +var strided = require( '@stdlib/blas/ext/base/sunitspace' ).ndarray; + + +// MAIN // + +/** +* Fills a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from a specified value. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - a one-dimensional input ndarray. +* - a zero-dimensional ndarray containing a starting value. +* +* @param {ArrayLikeObject} arrays - array-like object containing ndarrays +* @returns {ndarray} input ndarray +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +* +* var x = new Float32Vector( [ 0.0, 0.0, 0.0, 0.0 ] ); +* // returns [ 0.0, 0.0, 0.0, 0.0 ] +* +* var start = scalar2ndarray( 3.0, { +* 'dtype': 'float32' +* }); +* +* var out = sunitspace( [ x, start ] ); +* // returns [ 3.0, 4.0, 5.0, 6.0 ] +*/ +function sunitspace( arrays ) { + var start = ndarraylike2scalar( arrays[ 1 ] ); + var x = arrays[ 0 ]; + strided( numelDimension( x, 0 ), start, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len + return x; +} + + +// EXPORTS // + +module.exports = sunitspace; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/package.json new file mode 100644 index 000000000000..72217310cc75 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/package.json @@ -0,0 +1,73 @@ +{ + "name": "@stdlib/blas/ext/base/ndarray/sunitspace", + "version": "0.0.0", + "description": "Fill a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value.", + "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", + "fill", + "unitspace", + "unit-space", + "linearly", + "spaced", + "increment", + "strided", + "array", + "ndarray", + "float32", + "float", + "single", + "single-precision" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/test/test.js new file mode 100644 index 000000000000..f6c818ab0fb8 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/sunitspace/test/test.js @@ -0,0 +1,218 @@ +/** +* @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 Float32Array = require( '@stdlib/array/float32' ); +var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var sunitspace = require( './../lib' ); + + +// FUNCTIONS // + +/** +* Returns a one-dimensional ndarray. +* +* @private +* @param {Float32Array} 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 sunitspace, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( sunitspace.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function fills a one-dimensional ndarray with linearly spaced numeric elements which increment by 1 starting from a specified value', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] ); + x = vector( xbuf, 4, 1, 0 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 3.0, 4.0, 5.0, 6.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns the input ndarray unchanged when the input ndarray is empty', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [] ); + x = vector( xbuf, 0, 1, 0 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function fills a one-dimensional ndarray containing a single element', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0 ] ); + x = vector( xbuf, 1, 1, 0 ); + start = scalar2ndarray( 5.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 5.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an input ndarray having a non-unit stride', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + x = vector( xbuf, 4, 2, 0 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 3.0, 0.0, 4.0, 0.0, 5.0, 0.0, 6.0, 0.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an input ndarray having a zero stride', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] ); + x = vector( xbuf, 4, 0, 0 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 6.0, 0.0, 0.0, 0.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an input ndarray having a negative stride', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + x = vector( xbuf, 5, -1, 4 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 7.0, 6.0, 5.0, 4.0, 3.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an input ndarray having a non-zero offset', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + x = vector( xbuf, 4, 1, 2 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 0.0, 0.0, 3.0, 4.0, 5.0, 6.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an input ndarray having a negative stride and non-zero offset', function test( t ) { + var expected; + var actual; + var start; + var xbuf; + var x; + + xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + x = vector( xbuf, 5, -2, 9 ); + start = scalar2ndarray( 3.0, 'float32', 'row-major' ); + + actual = sunitspace( [ x, start ] ); + t.strictEqual( actual, x, 'returns expected value' ); + + expected = new Float32Array( [ 0.0, 7.0, 0.0, 6.0, 0.0, 5.0, 0.0, 4.0, 0.0, 3.0 ] ); + t.deepEqual( xbuf, expected, 'returns expected value' ); + + t.end(); +});