From 258e594cf855da299181908be2b924c18d56cd43 Mon Sep 17 00:00:00 2001 From: kaustubh Date: Wed, 17 Dec 2025 16:27:00 +0530 Subject: [PATCH 1/2] feat: blas/ect/nase/ndarray/dnansumpw --- .../blas/ext/base/ndarray/dnansumpw/README.md | 132 ++++++++++++ .../ndarray/dnansumpw/benchmark/benchmark.js | 117 +++++++++++ .../ext/base/ndarray/dnansumpw/docs/repl.txt | 32 +++ .../ndarray/dnansumpw/docs/types/index.d.ts | 46 +++++ .../base/ndarray/dnansumpw/docs/types/test.ts | 57 ++++++ .../base/ndarray/dnansumpw/examples/index.js | 40 ++++ .../ext/base/ndarray/dnansumpw/lib/index.js | 45 +++++ .../ext/base/ndarray/dnansumpw/lib/main.js | 56 ++++++ .../ext/base/ndarray/dnansumpw/package.json | 71 +++++++ .../ext/base/ndarray/dnansumpw/test/test.js | 188 ++++++++++++++++++ 10 files changed, 784 insertions(+) create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/README.md create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/examples/index.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/index.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/main.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/package.json create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/README.md new file mode 100644 index 000000000000..c6d0e680771a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/README.md @@ -0,0 +1,132 @@ + + +# dnansumpw + +> Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation. + +
+ +
+ + + +
+ +## Usage + +```javascript +var dnansumpw = require( '@stdlib/blas/ext/base/ndarray/dnansumpw' ); +``` + +#### dnansumpw( arrays ) + +Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); + +var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + +var v = dnansumpw( [ x ] ); +// returns 1.0 +``` + +The function has the following parameters: + +- **arrays**: array-like object containing a one-dimensional input ndarray. + +
+ + + +
+ +## Notes + +- If provided an empty one-dimensional ndarray, the function returns `0.0`. +- In general, pairwise summation is more numerically stable than ordinary recursive summation (i.e., "simple" summation), with slightly worse performance. While not the most numerically stable summation technique (e.g., compensated summation techniques such as the Kahan–Babuška-Neumaier algorithm are generally more numerically stable), pairwise summation strikes a reasonable balance between numerical stability and performance. If either numerical stability or performance is more desirable for your use case, consider alternative summation techniques. + +
+ + + +
+ +## Examples + + + +```javascript +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var dnansumpw = require( '@stdlib/blas/ext/base/ndarray/dnansumpw' ); + +function clbk() { + if ( bernoulli( 0.7 ) > 0 ) { + return discreteUniform( 0, 100 ); + } + return NaN; +} + +var xbuf = filledarrayBy( 10, 'float64', clbk ); +var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var v = dnansumpw( [ x ] ); +console.log( v ); +``` + +
+ + + +
+ +## References + +- Higham, Nicholas J. 1993. "The Accuracy of Floating Point Summation." _SIAM Journal on Scientific Computing_ 14 (4): 783–99. doi:[10.1137/0914050][@higham:1993a]. + +
+ + + + + +
+ +
+ + + + + +
+ +[@higham:1993a]: https://doi.org/10.1137/0914050 + +
+ + diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/benchmark/benchmark.js new file mode 100644 index 000000000000..110e58d26e11 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/benchmark/benchmark.js @@ -0,0 +1,117 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var pkg = require( './../package.json' ).name; +var dnansumpw = require( './../lib' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Returns a random number or NaN. +* +* @private +* @returns {number} random number or NaN +*/ +function rand() { + if ( bernoulli( 0.8 ) > 0 ) { + return uniform( -10.0, 10.0 ); + } + return NaN; +} + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var xbuf; + var x; + + xbuf = filledarrayBy( len, options.dtype, rand ); + x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' ); + + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dnansumpw( [ x ] ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( pkg+':len='+len, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/repl.txt new file mode 100644 index 000000000000..af064f51e776 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/repl.txt @@ -0,0 +1,32 @@ + +{{alias}}( arrays ) + Computes the sum of a one-dimensional double-precision floating-point + ndarray, ignoring `NaN` values and using pairwise summation. + + If provided an empty ndarray, the function returns `0.0`. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing a one-dimensional input ndarray. + + Returns + ------- + out: number + Sum. + + Examples + -------- + > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] ); + > var dt = 'float64'; + > var sh = [ xbuf.length ]; + > var sx = [ 1 ]; + > var ox = 0; + > var ord = 'row-major'; + > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord ); + > {{alias}}( [ x ] ) + 1.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/index.d.ts new file mode 100644 index 000000000000..8a4c45c2376d --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/index.d.ts @@ -0,0 +1,46 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +// TypeScript Version: 4.1 + +/// + +import { float64ndarray } from '@stdlib/types/ndarray'; + +/** +* Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation. +* +* @param arrays - array-like object containing an input ndarray +* @returns sum +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = dnansumpw( [ x ] ); +* // returns 1.0 +*/ +declare function dnansumpw( arrays: [ float64ndarray ] ): number; + + +// EXPORTS // + +export = dnansumpw; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/test.ts new file mode 100644 index 000000000000..c5be45cb00a2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/docs/types/test.ts @@ -0,0 +1,57 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +/* eslint-disable space-in-parens */ + +import zeros = require( '@stdlib/ndarray/zeros' ); +import dnansumpw = require( '@stdlib/blas/ext/base/ndarray/dnansumpw' ); + + +// TESTS // + +// The function returns a number... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float64' + }); + + dnansumpw( [ x ] ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + dnansumpw( '10' ); // $ExpectError + dnansumpw( 10 ); // $ExpectError + dnansumpw( true ); // $ExpectError + dnansumpw( false ); // $ExpectError + dnansumpw( null ); // $ExpectError + dnansumpw( undefined ); // $ExpectError + dnansumpw( [] ); // $ExpectError + dnansumpw( {} ); // $ExpectError + dnansumpw( ( 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': 'float64' + }); + + dnansumpw(); // $ExpectError + dnansumpw( [ x ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/examples/index.js new file mode 100644 index 000000000000..b25813b38a13 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/examples/index.js @@ -0,0 +1,40 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +var bernoulli = require( '@stdlib/random/base/bernoulli' ); +var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ); +var filledarrayBy = require( '@stdlib/array/filled-by' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var dnansumpw = require( './../lib' ); + +function clbk() { + if ( bernoulli( 0.7 ) > 0 ) { + return discreteUniform( 0, 100 ); + } + return NaN; +} + +var xbuf = filledarrayBy( 10, 'float64', clbk ); +var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var v = dnansumpw( [ x ] ); +console.log( v ); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/index.js new file mode 100644 index 000000000000..869aad1e807c --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/index.js @@ -0,0 +1,45 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +/** +* Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation. +* +* @module @stdlib/blas/ext/base/ndarray/dnansumpw +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* var dnansumpw = require( '@stdlib/blas/ext/base/ndarray/dnansumpw' ); +* +* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = dnansumpw( [ x ] ); +* // returns 1.0 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/main.js new file mode 100644 index 000000000000..a823ac95df4d --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/lib/main.js @@ -0,0 +1,56 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' ); +var getStride = require( '@stdlib/ndarray/base/stride' ); +var getOffset = require( '@stdlib/ndarray/base/offset' ); +var getData = require( '@stdlib/ndarray/base/data-buffer' ); +var strided = require( '@stdlib/blas/ext/base/dnansumpw' ).ndarray; + + +// MAIN // + +/** +* Computes the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation. +* +* @param {ArrayLikeObject} arrays - array-like object containing an input ndarray +* @returns {number} sum +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] ); +* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = dnansumpw( [ x ] ); +* // returns 1.0 +*/ +function dnansumpw( arrays ) { + var x = arrays[ 0 ]; + return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len +} + + +// EXPORTS // + +module.exports = dnansumpw; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/package.json new file mode 100644 index 000000000000..0bff39b073ad --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/package.json @@ -0,0 +1,71 @@ +{ + "name": "@stdlib/blas/ext/base/ndarray/dnansumpw", + "version": "0.0.0", + "description": "Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "lib": "./lib", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdmath", + "statistics", + "stats", + "mathematics", + "math", + "blas", + "extended", + "sum", + "total", + "summation", + "compensated", + "pairwise", + "ndarray", + "float64", + "double", + "float64array" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js new file mode 100644 index 000000000000..09cfcc6c9863 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js @@ -0,0 +1,188 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' ); +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var dnansumpw = require( './../lib' ); + + +// FUNCTIONS // + +/** +* Returns a one-dimensional ndarray. +* +* @private +* @param {Float64Array} 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( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dnansumpw, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( dnansumpw.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function computes the sum of a one-dimensional ndarray, ignoring `NaN` values and using pairwise summation', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, NaN, 3.0, 0.0, -3.0, 3.0, NaN ] ); // eslint-disable-line max-len + v = dnansumpw( [ vector( x, 11, 1, 0 ) ] ); + t.strictEqual( v, 3.0, 'returns expected value' ); + + x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0, NaN ] ); + v = dnansumpw( [ vector( x, 8, 1, 0 ) ] ); + t.strictEqual( v, 3.0, 'returns expected value' ); + + x = new Float64Array( [ -4.0, NaN, -4.0 ] ); + v = dnansumpw( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( v, -8.0, 'returns expected value' ); + + x = new Float64Array( [ NaN, 4.0 ] ); + v = dnansumpw( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( v, 4.0, 'returns expected value' ); + + x = new Float64Array( [ -0.0, 0.0, -0.0 ] ); + v = dnansumpw( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dnansumpw( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( v, 0.0, 'returns expected value' ); + + x = new Float64Array( [ NaN ] ); + v = dnansumpw( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( v, 0.0, 'returns expected value' ); + + x = new Float64Array( [ 4.0 ] ); + v = dnansumpw( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( v, 4.0, 'returns expected value' ); + + x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] ); + v = dnansumpw( [ vector( x, 4, 1, 0 ) ] ); + t.strictEqual( v, 2.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an empty ndarray, the function returns `0.0`', function test( t ) { + var x; + var v; + + x = new Float64Array( [] ); + + v = dnansumpw( [ vector( x, 0, 1, 0 ) ] ); + t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided a ndarray containing a single element, the function returns that element', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0 ] ); + + v = dnansumpw( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0 + ]); + + v = dnansumpw( [ vector( x, 4, 2, 0 ) ] ); + + t.strictEqual( v, 5.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + -2.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]); + + v = dnansumpw( [ vector( x, 4, -2, 6 ) ] ); + + t.strictEqual( v, 5.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 2.0, + 1.0, // 0 + 2.0, + -2.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0 // 3 + ]); + + v = dnansumpw( [ vector( x, 4, 2, 1 ) ] ); + t.strictEqual( v, 5.0, 'returns expected value' ); + + t.end(); +}); From 11d9bea6163aa37c17f3abe4906dfa18065d5682 Mon Sep 17 00:00:00 2001 From: kaustubh Date: Wed, 17 Dec 2025 16:30:47 +0530 Subject: [PATCH 2/2] lint --- .../@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js index 09cfcc6c9863..34b1e7a16043 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dnansumpw/test/test.js @@ -95,7 +95,7 @@ tape( 'the function computes the sum of a one-dimensional ndarray, ignoring `NaN x = new Float64Array( [ 1.0, 1.0e100, 1.0, -1.0e100 ] ); v = dnansumpw( [ vector( x, 4, 1, 0 ) ] ); - t.strictEqual( v, 2.0, 'returns expected value' ); + t.strictEqual( v, 0.0, 'returns expected value' ); t.end(); });