From 96d770175058a4f0ca95f734123bfa2470494535 Mon Sep 17 00:00:00 2001 From: gururaj1512 Date: Sat, 28 Jun 2025 11:47:44 +0000 Subject: [PATCH 1/2] feat: add `stats/base/ndarray/dcumin` --- 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 status: passed - 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 --- --- .../stats/base/ndarray/dcumin/README.md | 126 ++++++++ .../ndarray/dcumin/benchmark/benchmark.js | 108 +++++++ .../stats/base/ndarray/dcumin/docs/repl.txt | 37 +++ .../base/ndarray/dcumin/docs/types/index.d.ts | 56 ++++ .../base/ndarray/dcumin/docs/types/test.ts | 63 ++++ .../base/ndarray/dcumin/examples/index.js | 37 +++ .../stats/base/ndarray/dcumin/lib/index.js | 55 ++++ .../stats/base/ndarray/dcumin/lib/main.js | 68 +++++ .../stats/base/ndarray/dcumin/package.json | 69 +++++ .../stats/base/ndarray/dcumin/test/test.js | 273 ++++++++++++++++++ 10 files changed, 892 insertions(+) create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/README.md create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/benchmark/benchmark.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/repl.txt create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/index.d.ts create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/test.ts create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/examples/index.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/index.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/main.js create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/package.json create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/README.md new file mode 100644 index 000000000000..0fd9fd684e55 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/README.md @@ -0,0 +1,126 @@ + + +# dcumin + +> Compute the cumulative minimum value of a one-dimensional double-precision floating-point ndarray. + +
+ +
+ + + +
+ +## Usage + +```javascript +var dcumin = require( '@stdlib/stats/base/ndarray/dcumin' ); +``` + +#### dcumin( arrays ) + +Computes the cumulative minimum value of a one-dimensional double-precision floating-point ndarray. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); + +var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + +var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] ); +var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + +var v = dcumin( [ x, y ] ); +// returns + +var bool = ( v === y ); +// returns true + +var arr = ndarray2array( v ); +// returns [ 1.0, 1.0, 1.0, 1.0 ] +``` + +The function has the following parameters: + +- **arrays**: array-like object containing a one-dimensional input ndarray and a one-dimensional output ndarray. + +
+ + + +
+ +## Notes + +- If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged. + +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var zerosLike = require( '@stdlib/ndarray/zeros-like' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var dcumin = require( '@stdlib/stats/base/ndarray/dcumin' ); + +var xbuf = discreteUniform( 10, -50, 50, { + 'dtype': 'float64' +}); +var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var y = zerosLike( x ); +console.log( ndarray2array( y ) ); + +var v = dcumin( [ x, y ] ); +console.log( ndarray2array( v ) ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/benchmark/benchmark.js new file mode 100644 index 000000000000..04c59223b4c4 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/benchmark/benchmark.js @@ -0,0 +1,108 @@ +/** +* @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/array/uniform' ); +var zeros = require( '@stdlib/array/zeros' ); +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 dcumin = 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 xbuf; + var ybuf; + var x; + var y; + + xbuf = uniform( len, -10.0, 10.0, options ); + x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' ); + + ybuf = zeros( len, options.dtype ); + y = new ndarray( options.dtype, ybuf, [ len ], [ 1 ], 0, 'row-major' ); + + return benchmark; + + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dcumin( [ x, y ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( isnan( v.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( pkg+':len='+len, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/repl.txt new file mode 100644 index 000000000000..cbc8d623685d --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/repl.txt @@ -0,0 +1,37 @@ + +{{alias}}( arrays ) + Computes the cumulative minimum value of a one-dimensional double-precision + floating-point ndarray. + + If provided an empty input ndarray, the function returns the output ndarray + unchanged. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing a one-dimensional input ndarray and a one- + dimensional output ndarray. + + Returns + ------- + out: ndarray + Output ndarray. + + Examples + -------- + > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] ); + > var ybuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] ); + > var dt = 'float64'; + > var sh = [ xbuf.length ]; + > var st = [ 1 ]; + > var oo = 0; + > var ord = 'row-major'; + > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord ); + > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord ); + > {{alias}}( [ x, y ] ); + > {{alias:@stdlib/ndarray/to-array}}( y ) + [ 1.0, -2.0, -2.0 ] + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/index.d.ts new file mode 100644 index 000000000000..15126680e640 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/index.d.ts @@ -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. +*/ + +// TypeScript Version: 4.1 + +/// + +import { float64ndarray } from '@stdlib/types/ndarray'; + +/** +* Computes the cumulative minimum value of a one-dimensional double-precision floating-point ndarray. +* +* @param arrays - array-like object containing an input ndarray and an output ndarray +* @returns output ndarray +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var ndarray2array = require( '@stdlib/ndarray/to-array' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] ); +* var y = new ndarray( 'float64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = dcumin( [ x, y ] ); +* // returns +* +* var bool = ( v === y ); +* // returns true +* +* var arr = ndarray2array( v ); +* // returns [ 1.0, 1.0, 1.0, 1.0 ] +*/ +declare function dcumin( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray; + + +// EXPORTS // + +export = dcumin; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/test.ts new file mode 100644 index 000000000000..efec5e738b96 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/docs/types/test.ts @@ -0,0 +1,63 @@ +/* +* @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 dcumin = require( './index' ); + + +// TESTS // + +// The function returns an ndarray... +{ + const x = zeros( [ 10 ], { + 'dtype': 'float64' + }); + const y = zeros( [ 10 ], { + 'dtype': 'float64' + }); + + dcumin( [ x, y ] ); // $ExpectType float64ndarray +} + +// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... +{ + dcumin( '10' ); // $ExpectError + dcumin( 10 ); // $ExpectError + dcumin( true ); // $ExpectError + dcumin( false ); // $ExpectError + dcumin( null ); // $ExpectError + dcumin( undefined ); // $ExpectError + dcumin( [] ); // $ExpectError + dcumin( {} ); // $ExpectError + dcumin( ( 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' + }); + const y = zeros( [ 10 ], { + 'dtype': 'float64' + }); + + dcumin(); // $ExpectError + dcumin( [ x, y ], {} ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/examples/index.js new file mode 100644 index 000000000000..60a4c7069091 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/examples/index.js @@ -0,0 +1,37 @@ +/** +* @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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var zerosLike = require( '@stdlib/ndarray/zeros-like' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var dcumin = require( './../lib' ); + +var xbuf = discreteUniform( 10, -50, 50, { + 'dtype': 'float64' +}); +var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +var y = zerosLike( x ); +console.log( ndarray2array( y ) ); + +var v = dcumin( [ x, y ] ); +console.log( ndarray2array( v ) ); diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/index.js new file mode 100644 index 000000000000..21365882b122 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/index.js @@ -0,0 +1,55 @@ +/** +* @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 cumulative minimum value of a one-dimensional double-precision floating-point ndarray. +* +* @module @stdlib/stats/base/ndarray/dcumin +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var ndarray2array = require( '@stdlib/ndarray/to-array' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* var dcumin = require( '@stdlib/stats/base/ndarray/dcumin' ); +* +* var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] ); +* var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = dcumin( [ x, y ] ); +* // returns +* +* var bool = ( v === y ); +* // returns true +* +* var arr = ndarray2array( v ); +* // returns [ 1.0, 1.0, 1.0, 1.0 ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/main.js new file mode 100644 index 000000000000..5298a4b99283 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/lib/main.js @@ -0,0 +1,68 @@ +/** +* @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/stats/strided/dcumin' ).ndarray; + + +// MAIN // + +/** +* Computes the cumulative minimum value of a one-dimensional double-precision floating-point ndarray. +* +* @param {ArrayLikeObject} arrays - array-like object containing an input ndarray and an output ndarray +* @returns {ndarrayLike} output ndarray +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var ndarray2array = require( '@stdlib/ndarray/to-array' ); +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] ); +* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] ); +* var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = dcumin( [ x, y ] ); +* // returns +* +* var bool = ( v === y ); +* // returns true +* +* var arr = ndarray2array( v ); +* // returns [ 1.0, 1.0, 1.0, 1.0 ] +*/ +function dcumin( arrays ) { + var x = arrays[ 0 ]; + var y = arrays[ 1 ]; + strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len + return y; +} + + +// EXPORTS // + +module.exports = dcumin; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/package.json new file mode 100644 index 000000000000..7fe7dc533a1b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/package.json @@ -0,0 +1,69 @@ +{ + "name": "@stdlib/stats/base/ndarray/dcumin", + "version": "0.0.0", + "description": "Compute the cumulative minimum value of a one-dimensional double-precision floating-point ndarray.", + "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", + "cumulative", + "accumulate", + "minimum", + "min", + "range", + "extremes", + "domain", + "extent", + "ndarray" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js new file mode 100644 index 000000000000..5977a453a6dd --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js @@ -0,0 +1,273 @@ +/** +* @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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' ); +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var zerosLike = require( '@stdlib/ndarray/zeros-like' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var dcumin = 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 dcumin, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( dcumin.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the cumulative minimum value of a one-dimensional ndarray', function test( t ) { + var expected; + var xbuf; + var x; + var y; + var v; + + xbuf = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] ); + x = vector( xbuf, 6, 1, 0 ); + y = zerosLike( x ); + v = dcumin( [ x, y ] ); + + expected = new Float64Array( [ 1.0, 1.0, 1.0, 5.0, 5.0, 5.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + xbuf = new Float64Array( [ -4.0, -5.0 ] ); + x = vector( xbuf, 2, 1, 0 ); + y = zerosLike( x ); + v = dcumin( [ x, y ] ); + + expected = new Float64Array( [ -4.0, -4.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + xbuf = new Float64Array( [ -0.0, 0.0, -0.0 ] ); + x = vector( xbuf, 3, 1, 0 ); + y = zerosLike( x ); + v = dcumin( [ x, y ] ); + + expected = new Float64Array( [ -0.0, 0.0, 0.0 ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + xbuf = new Float64Array( [ NaN ] ); + x = vector( xbuf, 1, 1, 0 ); + y = zerosLike( x ); + v = dcumin( [ x, y ] ); + + expected = new Float64Array( [ NaN ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + xbuf = new Float64Array( [ NaN, NaN ] ); + x = vector( xbuf, 2, 1, 0 ); + y = zerosLike( x ); + v = dcumin( [ x, y ] ); + + expected = new Float64Array( [ NaN, NaN ] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an empty vector, the function returns the output array unchanged', function test( t ) { + var expected; + var xbuf; + var x; + var y; + var v; + + xbuf = new Float64Array( [] ); + x = vector( xbuf, 0, 1, 0 ); + y = zerosLike( x ); + + v = dcumin( [ x, y ] ); + + expected = new Float64Array( [] ); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float64Array([ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + -2.0, // 2 + 3.0, + 4.0, // 3 + 2.0 + ]); + x = vector( xbuf, 4, 2, 0 ); + + ybuf = new Float64Array([ + 0.0, // 0 + 0.0, + 0.0, // 1 + 0.0, + 0.0, // 2 + 0.0, + 0.0, // 3 + 0.0 + ]); + y = vector( ybuf, 4, 2, 0 ); + + v = dcumin( [ x, y ] ); + + expected = new Float64Array([ + 1.0, // 0 + 0.0, + 2.0, // 1 + 0.0, + 2.0, // 2 + 0.0, + 4.0, // 3 + 0.0 + ]); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float64Array([ + 1.0, // 2 + -2.0, + 3.0, // 1 + 4.0, + -5.0 // 0 + ]); + x = vector( xbuf, 3, -2, 4 ); + + ybuf = new Float64Array([ + 0.0, // 2 + 0.0, // 1 + 0.0, // 0 + 0.0, + 0.0 + ]); + y = vector( ybuf, 3, -1, 2 ); + + v = dcumin( [ x, y ] ); + + expected = new Float64Array([ + 3.0, // 2 + 3.0, // 1 + -5.0, // 0 + 0.0, + 0.0 + ]); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) { + var expected; + var xbuf; + var ybuf; + var x; + var y; + var v; + + xbuf = new Float64Array([ + 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 ); + + ybuf = new Float64Array([ + 0.0, + 0.0, + 0.0, // 0 + 0.0, // 1 + 0.0, // 2 + 0.0, // 3 + 0.0, + 0.0 + ]); + y = vector( ybuf, 4, 1, 2 ); + + v = dcumin( [ x, y ] ); + + expected = new Float64Array([ + 0.0, + 0.0, + 1.0, // 0 + 1.0, // 1 + 2.0, // 2 + 4.0, // 3 + 0.0, + 0.0 + ]); + t.strictEqual( v, y, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); From a8737b9264ce07914b272e38c0e4130419646317 Mon Sep 17 00:00:00 2001 From: Gururaj Gurram <143020143+gururaj1512@users.noreply.github.com> Date: Sat, 28 Jun 2025 17:27:23 +0530 Subject: [PATCH 2/2] test: fix test case values Signed-off-by: Gururaj Gurram <143020143+gururaj1512@users.noreply.github.com> --- .../stats/base/ndarray/dcumin/test/test.js | 28 +++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js index 5977a453a6dd..e38e1005e020 100644 --- a/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumin/test/test.js @@ -71,7 +71,7 @@ tape( 'the function calculates the cumulative minimum value of a one-dimensional y = zerosLike( x ); v = dcumin( [ x, y ] ); - expected = new Float64Array( [ 1.0, 1.0, 1.0, 5.0, 5.0, 5.0 ] ); + expected = new Float64Array( [ 1.0, -2.0, -4.0, -4.0, -4.0, -4.0 ] ); t.strictEqual( v, y, 'returns expected value' ); t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); @@ -80,7 +80,7 @@ tape( 'the function calculates the cumulative minimum value of a one-dimensional y = zerosLike( x ); v = dcumin( [ x, y ] ); - expected = new Float64Array( [ -4.0, -4.0 ] ); + expected = new Float64Array( [ -4.0, -5.0 ] ); t.strictEqual( v, y, 'returns expected value' ); t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); @@ -89,7 +89,7 @@ tape( 'the function calculates the cumulative minimum value of a one-dimensional y = zerosLike( x ); v = dcumin( [ x, y ] ); - expected = new Float64Array( [ -0.0, 0.0, 0.0 ] ); + expected = new Float64Array( [ -0.0, -0.0, -0.0 ] ); t.strictEqual( v, y, 'returns expected value' ); t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); @@ -169,13 +169,13 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides', v = dcumin( [ x, y ] ); expected = new Float64Array([ - 1.0, // 0 + 1.0, // 0 0.0, - 2.0, // 1 + 1.0, // 1 0.0, - 2.0, // 2 + -2.0, // 2 0.0, - 4.0, // 3 + -2.0, // 3 0.0 ]); t.strictEqual( v, y, 'returns expected value' ); @@ -212,9 +212,9 @@ tape( 'the function supports one-dimensional ndarrays having negative strides', v = dcumin( [ x, y ] ); expected = new Float64Array([ - 3.0, // 2 - 3.0, // 1 - -5.0, // 0 + -5.0, // 2 + -5.0, // 1 + -5.0, // 0 0.0, 0.0 ]); @@ -260,10 +260,10 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets', expected = new Float64Array([ 0.0, 0.0, - 1.0, // 0 - 1.0, // 1 - 2.0, // 2 - 4.0, // 3 + 1.0, // 0 + -2.0, // 1 + -2.0, // 2 + -2.0, // 3 0.0, 0.0 ]);