From dea1773077b07997a79172129692851736f6c53f Mon Sep 17 00:00:00 2001 From: Mayur Jogade Date: Sun, 18 Oct 2026 00:02:14 +0530 Subject: [PATCH] feat: add `blas/ext/base/ndarray/dasumpw` --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown_pkg_readmes status: passed - task: lint_markdown_docs status: na - task: lint_markdown status: na - task: lint_package_json status: passed - task: lint_repl_help status: passed - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: passed - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: passed - task: lint_license_headers status: passed --- --- .../blas/ext/base/ndarray/dasumpw/README.md | 123 +++++++++++++ .../ndarray/dasumpw/benchmark/benchmark.js | 103 +++++++++++ .../ext/base/ndarray/dasumpw/docs/repl.txt | 26 +++ .../ndarray/dasumpw/docs/types/index.d.ts | 50 +++++ .../base/ndarray/dasumpw/docs/types/test.ts | 57 ++++++ .../base/ndarray/dasumpw/examples/index.js | 33 ++++ .../ext/base/ndarray/dasumpw/lib/index.js | 43 +++++ .../blas/ext/base/ndarray/dasumpw/lib/main.js | 60 ++++++ .../ext/base/ndarray/dasumpw/package.json | 74 ++++++++ .../ext/base/ndarray/dasumpw/test/test.js | 173 ++++++++++++++++++ 10 files changed, 742 insertions(+) create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/README.md create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/examples/index.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/index.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/main.js create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/package.json create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/test/test.js diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/README.md new file mode 100644 index 000000000000..45a89ad73165 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/README.md @@ -0,0 +1,123 @@ + + +# dasumpw + +> Compute the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. + +
+ +
+ + + +
+ +## Usage + +```javascript +var dasumpw = require( '@stdlib/blas/ext/base/ndarray/dasumpw' ); +``` + +#### dasumpw( arrays ) + +Computes the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. + +```javascript +var Float64Vector = require( '@stdlib/ndarray/vector/float64' ); + +var x = new Float64Vector( [ 1.0, -3.0, 4.0, -2.0 ] ); + +var v = dasumpw( [ x ] ); +// returns 10.0 +``` + +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 discreteUniform = require( '@stdlib/random/discrete-uniform' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var dasumpw = require( '@stdlib/blas/ext/base/ndarray/dasumpw' ); + +var opts = { + 'dtype': 'float64' +}; + +var x = discreteUniform( [ 10 ], -50, 50, opts ); +console.log( ndarray2array( x ) ); + +var v = dasumpw( [ 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/dasumpw/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/benchmark/benchmark.js new file mode 100644 index 000000000000..12b721ce6e81 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/benchmark/benchmark.js @@ -0,0 +1,103 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var dasumpw = require( './../lib' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = uniform( [ len ], -10.0, 10.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dasumpw( [ 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( format( '%s:len=%d', pkg, len ), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/repl.txt new file mode 100644 index 000000000000..3788f4c065e4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/repl.txt @@ -0,0 +1,26 @@ + +{{alias}}( arrays ) + Computes the sum of absolute values for all elements in a one-dimensional + double-precision floating-point ndarray 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 x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0, 3.0 ] ); + > {{alias}}( [ x ] ) + 6.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/index.d.ts new file mode 100644 index 000000000000..33ef5d2f5051 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/index.d.ts @@ -0,0 +1,50 @@ +/* +* @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 { float64ndarray } from '@stdlib/types/ndarray'; + +/** +* Computes the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - a one-dimensional input ndarray. +* +* @param arrays - array-like object containing ndarrays +* @returns sum +* +* @example +* var Float64Vector = require( '@stdlib/ndarray/vector/float64' ); +* +* var x = new Float64Vector( [ 1.0, -3.0, 4.0, -2.0 ] ); +* +* var v = dasumpw( [ x ] ); +* // returns 10.0 +*/ +declare function dasumpw( arrays: [ float64ndarray ] ): number; + + +// EXPORTS // + +export = dasumpw; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/test.ts new file mode 100644 index 000000000000..a9682ac9bbbf --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/docs/types/test.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. +*/ + +/* eslint-disable space-in-parens */ + +import zeros = require( '@stdlib/ndarray/zeros' ); +import dasumpw = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float64' + }); + + dasumpw( [ x ] ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + dasumpw( '10' ); // $ExpectError + dasumpw( 10 ); // $ExpectError + dasumpw( true ); // $ExpectError + dasumpw( false ); // $ExpectError + dasumpw( null ); // $ExpectError + dasumpw( undefined ); // $ExpectError + dasumpw( [] ); // $ExpectError + dasumpw( {} ); // $ExpectError + dasumpw( ( 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' + }); + + dasumpw(); // $ExpectError + dasumpw( [ x ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/examples/index.js new file mode 100644 index 000000000000..ad71f0f00f72 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/examples/index.js @@ -0,0 +1,33 @@ +/** +* @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 dasumpw = require( './../lib' ); + +var opts = { + 'dtype': 'float64' +}; + +var x = discreteUniform( [ 10 ], -50, 50, opts ); +console.log( ndarray2array( x ) ); + +var v = dasumpw( [ x ] ); +console.log( v ); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/index.js new file mode 100644 index 000000000000..19ac77cc7838 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/index.js @@ -0,0 +1,43 @@ +/** +* @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'; + +/** +* Compute the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. +* +* @module @stdlib/blas/ext/base/ndarray/dasumpw +* +* @example +* var Float64Vector = require( '@stdlib/ndarray/vector/float64' ); +* var dasumpw = require( '@stdlib/blas/ext/base/ndarray/dasumpw' ); +* +* var x = new Float64Vector( [ 1.0, -3.0, 4.0, -2.0 ] ); +* +* var v = dasumpw( [ x ] ); +* // returns 10.0 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/main.js new file mode 100644 index 000000000000..c322d8aaf74a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/lib/main.js @@ -0,0 +1,60 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' ); +var getStride = require( '@stdlib/ndarray/base/stride' ); +var getOffset = require( '@stdlib/ndarray/base/offset' ); +var getData = require( '@stdlib/ndarray/base/data-buffer' ); +var strided = require( '@stdlib/blas/ext/base/dasumpw' ).ndarray; + + +// MAIN // + +/** +* Computes the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray using pairwise summation. +* +* ## Notes +* +* - The function expects the following ndarrays: +* +* - a one-dimensional input ndarray. +* +* @param {ArrayLikeObject} arrays - array-like object containing ndarrays +* @returns {number} sum +* +* @example +* var Float64Vector = require( '@stdlib/ndarray/vector/float64' ); +* +* var x = new Float64Vector( [ 1.0, -3.0, 4.0, -2.0 ] ); +* +* var v = dasumpw( [ x ] ); +* // returns 10.0 +*/ +function dasumpw( 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 = dasumpw; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/package.json new file mode 100644 index 000000000000..cf1c24fa7fb9 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/package.json @@ -0,0 +1,74 @@ +{ + "name": "@stdlib/blas/ext/base/ndarray/dasumpw", + "version": "0.0.0", + "description": "Compute the sum of absolute values for all elements in a one-dimensional double-precision floating-point ndarray 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", + "abs", + "absolute", + "l1-norm", + "l1norm", + "norm", + "taxicab", + "manhattan", + "sum", + "total", + "pairwise", + "summation", + "ndarray" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/test/test.js new file mode 100644 index 000000000000..1806fed378a2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dasumpw/test/test.js @@ -0,0 +1,173 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' ); +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var dasumpw = 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 dasumpw, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( dasumpw.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function computes the sum of absolute values for all elements in a one-dimensional ndarray', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] ); + v = dasumpw( [ vector( x, 6, 1, 0 ) ] ); + t.strictEqual( v, 15.0, 'returns expected value' ); + + x = new Float64Array( [ -4.0, -5.0 ] ); + v = dasumpw( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( v, 9.0, 'returns expected value' ); + + x = new Float64Array( [ -0.0, 0.0, -0.0 ] ); + v = dasumpw( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN ] ); + v = dasumpw( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dasumpw( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, '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 = dasumpw( [ vector( x, 0, 1, 0 ) ] ); + t.strictEqual( isPositiveZero( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an ndarray containing a single element, the function returns the absolute value of that element', function test( t ) { + var x; + var v; + + x = new Float64Array( [ -1.0 ] ); + + v = dasumpw( [ 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 = dasumpw( [ vector( x, 4, 2, 0 ) ] ); + + t.strictEqual( v, 9.0, '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 = dasumpw( [ vector( x, 4, -2, 6 ) ] ); + + t.strictEqual( v, 9.0, '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 = dasumpw( [ vector( x, 4, 2, 1 ) ] ); + t.strictEqual( v, 9.0, 'returns expected value' ); + + t.end(); +});