From 6eb7f07ca399c649037ed6063c7bb8889e89ba99 Mon Sep 17 00:00:00 2001 From: kaustubh Date: Mon, 4 May 2026 12:34:16 +0530 Subject: [PATCH 1/2] feat: add blas/base/ndarray/sscal --- .../@stdlib/blas/base/ndarray/sscal/README.md | 120 ++++++++++ .../base/ndarray/sscal/benchmark/benchmark.js | 109 +++++++++ .../blas/base/ndarray/sscal/docs/repl.txt | 33 +++ .../base/ndarray/sscal/docs/types/index.d.ts | 59 +++++ .../base/ndarray/sscal/docs/types/test.ts | 63 ++++++ .../blas/base/ndarray/sscal/examples/index.js | 36 +++ .../blas/base/ndarray/sscal/lib/index.js | 51 +++++ .../blas/base/ndarray/sscal/lib/main.js | 72 ++++++ .../blas/base/ndarray/sscal/package.json | 73 ++++++ .../blas/base/ndarray/sscal/test/test.js | 209 ++++++++++++++++++ 10 files changed, 825 insertions(+) create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/README.md create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/examples/index.js create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/index.js create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/main.js create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/package.json create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/sscal/test/test.js diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/README.md new file mode 100644 index 000000000000..223ed5f49c91 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/README.md @@ -0,0 +1,120 @@ + + +# sscal + +> Multiply a one-dimensional single-precision floating-point ndarray by a scalar constant. + +
+ +
+ + + +
+ +## Usage + +```javascript +var sscal = require( '@stdlib/blas/base/ndarray/sscal' ); +``` + +#### sscal( arrays ) + +Multiplies a one-dimensional single-precision floating-point ndarray by a scalar constant. + +```javascript +var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); + +var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + +var alpha = scalar2ndarray( 5.0, { + 'dtype': 'float32' +}); + +var y = sscal( [ x, alpha ] ); +// returns [ 5.0, 10.0, 15.0, 20.0, 25.0 ] + +var bool = ( y === x ); +// returns true +``` + +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 scalar constant. + +
+ + + +
+ +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/discrete-uniform' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var sscal = require( '@stdlib/blas/base/ndarray/sscal' ); + +var opts = { + 'dtype': 'float32' +}; + +var x = discreteUniform( [ 10 ], 0, 100, opts ); +console.log( ndarray2array( x ) ); + +var alpha = scalar2ndarray( 5.0, opts ); + +var out = sscal( [ x, alpha ] ); +console.log( ndarray2array( out ) ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/benchmark/benchmark.js new file mode 100644 index 000000000000..e5ac7f59596f --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/benchmark/benchmark.js @@ -0,0 +1,109 @@ +/** +* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var sscal = 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 alpha; + var x; + + x = uniform( [ len ], -100.0, 100.0, options ); + alpha = scalar2ndarray( 5.0, 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 = sscal( [ x, alpha ] ); + 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/sscal/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt new file mode 100644 index 000000000000..375c9d814825 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt @@ -0,0 +1,33 @@ + +{{alias}}( arrays ) + Multiplies a one-dimensional single-precision floating-point ndarray by a + scalar constant. + + If provided an empty input ndarray, the function returns the input ndarray + unchanged. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing the following ndarrays: + + - a one-dimensional input ndarray. + - a zero-dimensional ndarray containing a scalar constant `alpha`. + + Returns + ------- + out: ndarray + Input ndarray. + + Examples + -------- + > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ); + > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float32' }); + + > {{alias}}( [ x, alpha ] ); + > x + [ 20.0, 10.0, -15.0, 25.0, -5.0 ] + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/index.d.ts new file mode 100644 index 000000000000..214f18c94130 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/index.d.ts @@ -0,0 +1,59 @@ +/* +* @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'; + +/** +* Multiplies a one-dimensional single-precision floating-point ndarray by a scalar constant. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - a one-dimensional input ndarray. +* - a zero-dimensional ndarray containing a scalar constant. +* +* @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( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* +* var alpha = scalar2ndarray( 5.0, { +* 'dtype': 'float32' +* }); +* +* var y = sscal( [ x, alpha ] ); +* // returns [ 5.0, 10.0, 15.0, 20.0, 25.0 ] +* +* var bool = ( y === x ); +* // returns true +*/ +declare function sscal( arrays: [ float32ndarray, float32ndarray ] ): float32ndarray; + + +// EXPORTS // + +export = sscal; diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/types/test.ts new file mode 100644 index 000000000000..cf55f67aba30 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/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 sscal = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float32' + }); + const alpha = zeros( [], { + 'dtype': 'float32' + }); + + sscal( [ x, alpha ] ); // $ExpectType float32ndarray +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + sscal( '10' ); // $ExpectError + sscal( 10 ); // $ExpectError + sscal( true ); // $ExpectError + sscal( false ); // $ExpectError + sscal( null ); // $ExpectError + sscal( undefined ); // $ExpectError + sscal( [] ); // $ExpectError + sscal( {} ); // $ExpectError + sscal( ( 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 alpha = zeros( [], { + 'dtype': 'float32' + }); + + sscal(); // $ExpectError + sscal( [ x, alpha ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/examples/index.js new file mode 100644 index 000000000000..a910551383f7 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/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 discreteUniform = require( '@stdlib/random/discrete-uniform' ); +var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var sscal = require( './../lib' ); + +var opts = { + 'dtype': 'float32' +}; + +var x = discreteUniform( [ 10 ], 0, 100, opts ); +console.log( ndarray2array( x ) ); + +var alpha = scalar2ndarray( 5.0, opts ); + +var out = sscal( [ x, alpha ] ); +console.log( ndarray2array( out ) ); diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/index.js new file mode 100644 index 000000000000..2dcbed4cc8c7 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/index.js @@ -0,0 +1,51 @@ +/** +* @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 multiply a one-dimensional single-precision floating-point ndarray by a scalar constant. +* +* @module @stdlib/blas/base/ndarray/sscal +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +* var sscal = require( '@stdlib/blas/base/ndarray/sscal' ); +* +* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* +* var alpha = scalar2ndarray( 5.0, { +* 'dtype': 'float32' +* }); +* +* var y = sscal( [ x, alpha ] ); +* // returns [ 5.0, 10.0, 15.0, 20.0, 25.0 ] +* +* var bool = ( y === x ); +* // returns true +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/main.js new file mode 100644 index 000000000000..06240cc32790 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/lib/main.js @@ -0,0 +1,72 @@ +/** +* @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/base/sscal' ).ndarray; + + +// MAIN // + +/** +* Multiplies a one-dimensional single-precision floating-point ndarray by a scalar constant. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - a one-dimensional input ndarray. +* - a zero-dimensional ndarray containing a scalar constant. +* +* @param {ArrayLikeObject} arrays - array-like object containing ndarrays +* @returns {Object} input ndarray +* +* @example +* var Float32Vector = require( '@stdlib/ndarray/vector/float32' ); +* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +* +* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* +* var alpha = scalar2ndarray( 5.0, { +* 'dtype': 'float32' +* }); +* +* var y = sscal( [ x, alpha ] ); +* // returns [ 5.0, 10.0, 15.0, 20.0, 25.0 ] +* +* var bool = ( y === x ); +* // returns true +*/ +function sscal( arrays ) { + var alpha = ndarraylike2scalar( arrays[ 1 ] ); + var x = arrays[ 0 ]; + strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len + return x; +} + + +// EXPORTS // + +module.exports = sscal; diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/package.json new file mode 100644 index 000000000000..0ae2f7dafb1f --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/package.json @@ -0,0 +1,73 @@ +{ + "name": "@stdlib/blas/base/ndarray/sscal", + "version": "0.0.0", + "description": "Multiply a one-dimensional single-precision floating-point ndarray by a scalar constant.", + "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", + "sscal", + "linear", + "algebra", + "subroutines", + "scal", + "dscal", + "scale", + "multiply", + "vector", + "array", + "ndarray", + "float32", + "single", + "float32array" + ] +} diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/test/test.js new file mode 100644 index 000000000000..88c9c499f3db --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/test/test.js @@ -0,0 +1,209 @@ +/** +* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var sscal = 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 sscal, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( sscal.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function multiplies a one-dimensional ndarray by a scalar constant', function test( t ) { + var expected; + var alpha; + var xbuf; + var x; + var v; + + xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + x = vector( xbuf, 5, 1, 0 ); + alpha = scalar2ndarray( 5.0, { + 'dtype': 'float32' + }); + + v = sscal( [ x, alpha ] ); + + expected = new Float32Array( [ 5.0, 10.0, 15.0, 20.0, 25.0 ] ); + t.strictEqual( v, x, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + + xbuf = new Float32Array( [ 1.0, 2.0 ] ); + x = vector( xbuf, 2, 1, 0 ); + alpha = scalar2ndarray( 3.0, { + 'dtype': 'float32' + }); + + v = sscal( [ x, alpha ] ); + + expected = new Float32Array( [ 3.0, 6.0 ] ); + t.strictEqual( v, x, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an empty ndarray, the function returns the input ndarray unchanged', function test( t ) { + var expected; + var alpha; + var xbuf; + var x; + var v; + + xbuf = new Float32Array( [] ); + x = vector( xbuf, 0, 1, 0 ); + alpha = scalar2ndarray( 5.0, { + 'dtype': 'float32' + }); + + v = sscal( [ x, alpha ] ); + + expected = new Float32Array( [] ); + t.strictEqual( v, x, '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 alpha; + var xbuf; + var x; + var v; + + xbuf = new Float32Array([ + 1.0, // 0 + 2.0, + 3.0, // 1 + 4.0, + 5.0 // 2 + ]); + x = vector( xbuf, 3, 2, 0 ); + alpha = scalar2ndarray( 2.0, { + 'dtype': 'float32' + }); + + v = sscal( [ x, alpha ] ); + + expected = new Float32Array( [ 2.0, 2.0, 6.0, 4.0, 10.0 ] ); + t.strictEqual( v, x, 'returns expected value' ); + 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 alpha; + var xbuf; + var x; + var v; + + xbuf = new Float32Array([ + 1.0, // 2 + 2.0, + 3.0, // 1 + 4.0, + 5.0 // 0 + ]); + x = vector( xbuf, 3, -2, 4 ); + alpha = scalar2ndarray( 2.0, { + 'dtype': 'float32' + }); + + v = sscal( [ x, alpha ] ); + + expected = new Float32Array( [ 2.0, 2.0, 6.0, 4.0, 10.0 ] ); + t.strictEqual( v, x, 'returns expected value' ); + 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 alpha; + var xbuf; + var x; + var v; + + xbuf = new Float32Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0 // 3 + ]); + x = vector( xbuf, 4, 2, 1 ); + alpha = scalar2ndarray( 3.0, { + 'dtype': 'float32' + }); + + v = sscal( [ x, alpha ] ); + + expected = new Float32Array([ + 2.0, + 3.0, // 0 + 2.0, + -6.0, // 1 + -2.0, + 6.0, // 2 + 3.0, + 12.0 // 3 + ]); + t.strictEqual( v, x, 'returns expected value' ); + t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); From aa7c97f798e5c7d7998f45969bf69b537329a8a4 Mon Sep 17 00:00:00 2001 From: Athan Date: Mon, 4 May 2026 02:39:26 -0700 Subject: [PATCH 2/2] Apply suggestions from code review Co-authored-by: Athan Signed-off-by: Athan --- .../@stdlib/blas/base/ndarray/sscal/docs/repl.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt index 375c9d814825..c933e6b6ba1f 100644 --- a/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt +++ b/lib/node_modules/@stdlib/blas/base/ndarray/sscal/docs/repl.txt @@ -12,7 +12,7 @@ Array-like object containing the following ndarrays: - a one-dimensional input ndarray. - - a zero-dimensional ndarray containing a scalar constant `alpha`. + - a zero-dimensional ndarray containing a scalar constant. Returns ------- @@ -22,7 +22,7 @@ Examples -------- > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ); - > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float32' }); + > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float32' } ); > {{alias}}( [ x, alpha ] ); > x