diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/README.md new file mode 100644 index 000000000000..da12331faf82 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/README.md @@ -0,0 +1,114 @@ + + +# minsorted + +> Compute the minimum value of a sorted one-dimensional ndarray. + +
+ +
+ + + +
+ +## Usage + +```javascript +var minsorted = require( '@stdlib/stats/base/ndarray/minsorted' ); +``` + +#### minsorted( arrays ) + +Computes the minimum value of a sorted one-dimensional ndarray. + +```javascript +var ndarray = require( '@stdlib/ndarray/base/ctor' ); + +var xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; +var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + +var v = minsorted( [ 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 `NaN`. +- The input ndarray must be sorted in either ascending or descending order. + +
+ + + +
+ +## Examples + + + +```javascript +var linspace = require( '@stdlib/array/base/linspace' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var minsorted = require( '@stdlib/stats/base/ndarray/minsorted' ); + +// Create a sorted data buffer: +var xbuf = linspace( -5.0, 5.0, 10 ); + +// Wrap in an ndarray: +var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +// Compute the minimum of the sorted ndarray: +var v = minsorted( [ x ] ); +console.log( v ); +``` + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/benchmark/benchmark.js new file mode 100644 index 000000000000..c66f02635af2 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/benchmark/benchmark.js @@ -0,0 +1,102 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var linspace = require( '@stdlib/array/base/linspace' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var pkg = require( './../package.json' ).name; +var minsorted = require( './../lib' ); + + +// VARIABLES // + +var options = { + 'dtype': 'generic' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var xbuf; + var x; + + xbuf = linspace( 0.0, len, len ); + 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 = minsorted( [ 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/stats/base/ndarray/minsorted/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/repl.txt new file mode 100644 index 000000000000..9106c3eeab9b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/repl.txt @@ -0,0 +1,24 @@ + +{{alias}}( arrays ) + Computes the minimum value of a sorted one-dimensional ndarray. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing a one-dimensional input ndarray. + + Returns + ------- + out: number + Minimum value. + + Examples + -------- + > var xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; + > var x = {{alias:@stdlib/ndarray/base/ctor}}( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + > {{alias}}( [ x ] ) + 1.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/types/index.d.ts new file mode 100644 index 000000000000..33ee2ce99c41 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/types/index.d.ts @@ -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. +*/ + +// TypeScript Version: 4.1 + +/// + +import { ndarray } from '@stdlib/types/ndarray'; + +/** +* Computes the minimum value of a sorted one-dimensional ndarray. +* +* @param arrays - array-like object containing a one-dimensional input ndarray +* @returns minimum value +* +* @example +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; +* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = minsorted( [ x ] ); +* // returns 1.0 +*/ +declare function minsorted( arrays: ArrayLike ): number; + + +// EXPORTS // + +export = minsorted; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/types/test.ts new file mode 100644 index 000000000000..fd7bab214093 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/docs/types/test.ts @@ -0,0 +1,48 @@ +/* +* @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. +*/ + +import ndarray = require( '@stdlib/ndarray/base/ctor' ); +import minsorted = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + const xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; + const x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + minsorted( [ x ] ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarrays... +{ + minsorted( 5 ); // $ExpectError + minsorted( true ); // $ExpectError + minsorted( false ); // $ExpectError + minsorted( null ); // $ExpectError + minsorted( undefined ); // $ExpectError + minsorted( {} ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; + const x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); + minsorted(); // $ExpectError + minsorted( [ x ], 2 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/examples/index.js new file mode 100644 index 000000000000..0cfdbfb44926 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/examples/index.js @@ -0,0 +1,35 @@ +/** +* @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 linspace = require( '@stdlib/array/base/linspace' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var ndarray2array = require( '@stdlib/ndarray/to-array' ); +var minsorted = require( './../lib' ); + +// Create a sorted data buffer: +var xbuf = linspace( -5.0, 5.0, 10 ); + +// Create an ndarray: +var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' ); +console.log( ndarray2array( x ) ); + +// Compute the minimum value: +var v = minsorted( [ x ] ); +console.log( 'min: %d', v ); diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/lib/index.js new file mode 100644 index 000000000000..456cdb11ceb0 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/lib/index.js @@ -0,0 +1,44 @@ +/** +* @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 minimum value of a sorted one-dimensional ndarray. +* +* @module @stdlib/stats/base/ndarray/minsorted +* +* @example +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* var minsorted = require( '@stdlib/stats/base/ndarray/minsorted' ); +* +* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; +* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = minsorted( [ x ] ); +* // returns 1.0 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/lib/main.js new file mode 100644 index 000000000000..d0074ab0264b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/lib/main.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'; + +// 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/minsorted' ).ndarray; + + +// MAIN // + +/** +* Computes the minimum value of a sorted one-dimensional ndarray. +* +* @param {ArrayLikeObject} arrays - array-like object containing an input ndarray +* @returns {number} minimum value +* +* @example +* var ndarray = require( '@stdlib/ndarray/base/ctor' ); +* +* var xbuf = [ 1.0, 2.0, 3.0, 4.0 ]; +* var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); +* +* var v = minsorted( [ x ] ); +* // returns 1.0 +*/ +function minsorted( 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 = minsorted; diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/package.json new file mode 100644 index 000000000000..0cd09eefb884 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/package.json @@ -0,0 +1,68 @@ +{ + "name": "@stdlib/stats/base/ndarray/minsorted", + "version": "0.0.0", + "description": "Compute the minimum value of a sorted one-dimensional 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", + "minimum", + "min", + "sorted", + "range", + "extremes", + "domain", + "extent", + "ndarray" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/test/test.js new file mode 100644 index 000000000000..c905453098ac --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/ndarray/minsorted/test/test.js @@ -0,0 +1,229 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var minsorted = 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( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof minsorted, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( minsorted.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the minimum value of a sorted one-dimensional ndarray (ascending)', function test( t ) { + var x; + var v; + + x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ]; + v = minsorted( [ vector( x, 5, 1, 0 ) ] ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + x = [ -5.0, -4.0, -3.0, -2.0, -1.0 ]; + v = minsorted( [ vector( x, 5, 1, 0 ) ] ); + t.strictEqual( v, -5.0, 'returns expected value' ); + + x = [ 0.0, 1.0, 2.0 ]; + v = minsorted( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( v, 0.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function calculates the minimum value of a sorted one-dimensional ndarray (descending)', function test( t ) { + var x; + var v; + + x = [ 5.0, 4.0, 3.0, 2.0, 1.0 ]; + v = minsorted( [ vector( x, 5, 1, 0 ) ] ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + x = [ -1.0, -2.0, -3.0, -4.0, -5.0 ]; + v = minsorted( [ vector( x, 5, 1, 0 ) ] ); + t.strictEqual( v, -5.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns negative zero when appropriate', function test( t ) { + var x; + var v; + + x = [ -0.0, -0.0, 0.0 ]; + v = minsorted( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); + + x = [ 0.0, -0.0, -0.0 ]; + v = minsorted( [ vector( x, 3, 1, 0 ) ] ); + t.strictEqual( isNegativeZero( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided a vector containing `NaN`, the function returns `NaN`', function test( t ) { + var x; + var v; + + x = [ NaN ]; + v = minsorted( [ vector( x, 1, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = [ NaN, NaN ]; + v = minsorted( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = [ 5.0, NaN ]; + v = minsorted( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + x = [ NaN, 5.0 ]; + v = minsorted( [ vector( x, 2, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an empty vector, the function returns `NaN`', function test( t ) { + var x; + var v; + + x = []; + + v = minsorted( [ vector( x, 0, 1, 0 ) ] ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided a vector containing a single element, the function returns that element', function test( t ) { + var x; + var v; + + x = [ 1.0 ]; + + v = minsorted( [ 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 = [ + 1.0, // 0 + 2.0, + 2.0, // 1 + -7.0, + 3.0, // 2 + 3.0, + 4.0, // 3 + 2.0 + ]; + + v = minsorted( [ vector( x, 4, 2, 0 ) ] ); + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) { + var x; + var v; + + x = [ + 1.0, // 3 + 2.0, + 2.0, // 2 + -7.0, + 3.0, // 1 + 3.0, + 4.0, // 0 + 2.0 + ]; + + v = minsorted( [ vector( x, 4, -2, 6 ) ] ); + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) { + var x; + var v; + + x = [ + 2.0, + -2.0, // 0 + 2.0, + 1.0, // 1 + -2.0, + 2.0, // 2 + 3.0, + 4.0 // 3 + ]; + + v = minsorted( [ vector( x, 4, 2, 1 ) ] ); + t.strictEqual( v, -2.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) { + var x; + var v; + + x = [ 1.0, -2.0, -4.0, -5.0, -6.0 ]; + + v = minsorted( [ vector( x, x.length, 0, 0 ) ] ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +});