diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/README.md b/lib/node_modules/@stdlib/stats/incr/nanmmax/README.md new file mode 100644 index 000000000000..0d1ada1de415 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/README.md @@ -0,0 +1,123 @@ + + +# nanmmax + +> Compute a cumulative maximum value incrementally, ignoring NaN values. + +
+ +## Usage + +```javascript +var nanmmax = require( '@stdlib/stats/incr/nanmmax' ); +``` + +#### nanmmax() + +Returns an accumulator function which incrementally computes a moving maximum value. The window parameter defines the number of values over which to compute the moving maximum. + + +#### accumulator( \[x] ) + +If provided an input value x, the accumulator function returns an updated maximum value. If not provided an input value x, the accumulator function returns the current maximum value. + +```javascript +var accumulator = nanmmax(); + +var m = accumulator(); +// returns null + +m = accumulator( 2.0 ); +// returns 2.0 + +m = accumulator( NaN ); +// returns 2.0 + +m = accumulator( 5.0 ); +// returns 5.0 + +m = accumulator(); +// returns 5.0 +``` + +
+ + + + +
+ +## Notes + + +- Input values are not type checked. +- `Nan` values are ignored and do not affect the accumulated maximum. +- If no non-NaN values have been provided, the accumulator returns null. `null`. + + +
+ + + +
+ +## Examples + + + +```javascript +var randu = require( '@stdlib/random/base/randu' ); +var nanmmax = require( '@stdlib/stats/incr/nanmmax' ); + +var accumulator = nanmmax(); +var v; +var i; + +for ( i = 0; i < 100; i++ ) { + v = randu() * 100.0; + accumulator( v ); +} +console.log( accumulator() ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ + + + + +
+ + diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/incr/nanmmax/benchmark/benchmark.js new file mode 100644 index 000000000000..2896104ceff2 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/benchmark/benchmark.js @@ -0,0 +1,72 @@ +/** +* @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 randu = require( '@stdlib/random/base/randu' ); +var pkg = require( './../package.json' ).name; +var nanmmax = require( './../lib' ); + + +// MAIN // + +bench( pkg, function benchmark( b ) { + var f; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + f = nanmmax(); + if ( typeof f !== 'function' ) { + b.fail( 'should return a function' ); + } + } + b.toc(); + + if ( typeof f !== 'function' ) { + b.fail( 'should return a function' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); + +bench( pkg+'::accumulator', function benchmark( b ) { + var acc; + var v; + var i; + + acc = nanmmax(); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = acc( randu() ); + if ( v !== v ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + + if ( v !== v ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/repl.txt b/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/repl.txt new file mode 100644 index 000000000000..cc1758d886a6 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/repl.txt @@ -0,0 +1,39 @@ +{{alias}}() + Returns an accumulator function which incrementally computes a cumulative + maximum value while **ignoring NaN values**. + + If provided a numeric value, the accumulator function updates the cumulative + maximum. If provided `NaN`, the value is ignored. If not provided any value, + the accumulator function returns the current maximum. + + Until a non-NaN value is provided, the accumulator returns `null`. + + Parameters + ---------- + (none) + + Returns + ------- + acc: Function + Accumulator function. + + Examples + -------- + > var accumulator = {{alias}}(); + > var m = accumulator() + null + > m = accumulator( 2.0 ) + 2.0 + > m = accumulator( NaN ) + 2.0 + > m = accumulator( -5.0 ) + 2.0 + > m = accumulator( 3.0 ) + 3.0 + > m = accumulator( 5.0 ) + 5.0 + > m = accumulator() + 5.0 + + See Also + -------- diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/types/index.d.ts new file mode 100644 index 000000000000..0404a1ed0af0 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/types/index.d.ts @@ -0,0 +1,65 @@ +/* +* @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 + +/// + +/** +* If provided a value, returns an updated maximum value; otherwise, returns the current maximum value. +* +* ## Notes +* +* - `NaN` values are ignored. +* - The accumulator returns `null` until at least one non-NaN value has been provided. +* +* @param x - input value +* @returns maximum value or null +*/ +type accumulator = ( x?: number ) => number | null; + +/** +* Returns an accumulator function which incrementally computes a maximum value, +* **ignoring `NaN` values**. +* +* @returns accumulator function +* +* @example +* var acc = nanmmax(); +* +* var m = acc(); +* // returns null +* +* m = acc( 2.0 ); +* // returns 2.0 +* +* m = acc( NaN ); +* // returns 2.0 +* +* m = acc( 5.0 ); +* // returns 5.0 +* +* m = acc(); +* // returns 5.0 +*/ +declare function nanmmax(): accumulator; + + +// EXPORTS // + +export = nanmmax; diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/types/test.ts b/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/types/test.ts new file mode 100644 index 000000000000..3bcd254c469e --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/docs/types/test.ts @@ -0,0 +1,48 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2019 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 nanmmax = require( './index' ); + + +// TESTS // + +// The function returns an accumulator function... +{ + nanmmax(); // $ExpectType accumulator +} + +// The compiler throws an error if the returned accumulator function is provided invalid arguments... +{ + const acc = nanmmax(); + + acc( '5' ); // $ExpectError + acc( true ); // $ExpectError + acc( false ); // $ExpectError + acc( null ); // $ExpectError + acc( [] ); // $ExpectError + acc( {} ); // $ExpectError + acc( ( x: number ): number => x ); // $ExpectError +} + +// The function returns an accumulator function which returns an accumulated result... +{ + const acc = nanmmax(); + + acc(); // $ExpectType number | null + acc( 3.14 ); // $ExpectType number | null +} diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/examples/index.js b/lib/node_modules/@stdlib/stats/incr/nanmmax/examples/index.js new file mode 100644 index 000000000000..299455598ff4 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/examples/index.js @@ -0,0 +1,50 @@ +/** +* @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 randu = require( '@stdlib/random/base/randu' ); +var nanmmax = require( './../lib' ); + + +// MAIN // + +// Initialize an accumulator (no window size for nanmmax): +var accumulator = nanmmax(); + +var v; +var m; +var i; + +console.log( '\nValue\tMax (ignoring NaN)\n' ); + +// Generate random values including some NaNs: +for ( i = 0; i < 100; i++ ) { + // Insert a NaN with ~10% probability: + if ( randu() < 0.1 ) { + v = NaN; + } else { + v = randu() * 100.0; + } + + m = accumulator( v ); + + console.log( '%s\t%s', String(v), (m === null) ? 'null' : m.toFixed( 4 ) ); +} diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/lib/index.js b/lib/node_modules/@stdlib/stats/incr/nanmmax/lib/index.js new file mode 100644 index 000000000000..37ba9eb50c84 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/lib/index.js @@ -0,0 +1,54 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2018 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 a cumulative maximum while ignoring NaN values. +* +* @module @stdlib/stats/incr/nanmmax +* +* @example +* var nanmmax = require( '@stdlib/stats/incr/nanmmax' ); +* +* var accumulator = nanmmax(); +* +* var m = accumulator(); +* // returns null +* +* m = accumulator( 2.0 ); +* // returns 2.0 +* +* m = accumulator( NaN ); +* // returns 2.0 (ignores NaN) +* +* m = accumulator( 5.0 ); +* // returns 5.0 +* +* m = accumulator(); +* // returns 5.0 +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/lib/main.js b/lib/node_modules/@stdlib/stats/incr/nanmmax/lib/main.js new file mode 100644 index 000000000000..a12d3585b568 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/lib/main.js @@ -0,0 +1,78 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2018 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' ); + + +// MAIN // + +/** +* Returns an accumulator function that computes a cumulative maximum while ignoring NaN values. +* +* @returns {Function} accumulator function +* +* @example +* var accumulator = nanmmax(); +*/ +function nanmmax() { + var max = null; + + return accumulator; + + /** + * If called without arguments, returns the current cumulative maximum. + * Otherwise, updates the cumulative maximum. + * + * @private + * @param {number} [x] - input value + * @returns {(number|null)} current cumulative maximum (or null if no non-NaN value seen yet) + */ + function accumulator( x ) { + if ( arguments.length === 0 ) { + return max; + } + + if ( isnan( x ) ) { + return max; + } + + if ( max === null ) { + max = x; + return max; + } + + if ( + x > max || + ( x === max && isPositiveZero( x ) ) + ) { + max = x; + } + + return max; + } +} + + +// EXPORTS // + +module.exports = nanmmax; diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/package.json b/lib/node_modules/@stdlib/stats/incr/nanmmax/package.json new file mode 100644 index 000000000000..2d397c6f3a3e --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/package.json @@ -0,0 +1,71 @@ +{ + "name": "@stdlib/stats/incr/nanmmax", + "version": "0.0.0", + "description": "Compute a cumulative maximum incrementally, ignoring NaN values.", + "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", + "maximum", + "max", + "extreme", + "extent", + "range", + "incremental", + "accumulator", + "moving max", + "sliding window", + "sliding", + "window", + "moving" + ] +} diff --git a/lib/node_modules/@stdlib/stats/incr/nanmmax/test/test.js b/lib/node_modules/@stdlib/stats/incr/nanmmax/test/test.js new file mode 100644 index 000000000000..b7ca96a5a5d1 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/incr/nanmmax/test/test.js @@ -0,0 +1,153 @@ +/** +* @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 isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); +var nanmmax = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof nanmmax, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function returns an accumulator function', function test( t ) { + t.strictEqual( typeof nanmmax(), 'function', 'returns expected value' ); + t.end(); +}); + +tape( 'the accumulator returns `null` until a non-NaN value is provided', function test( t ) { + var acc = nanmmax(); + var i; + var v; + + for ( i = 0; i < 10; i++ ) { + v = acc( NaN ); + t.strictEqual( v, null, 'returns null' ); + } + t.end(); +}); + +tape( 'the accumulator computes a cumulative maximum, ignoring NaN values', function test( t ) { + var expected; + var actual; + var data; + var acc; + var i; + + acc = nanmmax(); + + data = [ 2.0, NaN, -5.0, 3.0, NaN, 4.0, 5.0, -2.0, 3.0, 1.0 ]; + expected = [ + 2.0, // 2 + 2.0, // ignore NaN + 2.0, // max(2, -5) + 3.0, // max(2, -5, 3) + 3.0, // ignore NaN + 4.0, // max(3, 4) + 5.0, // max(4, 5) + 5.0, // max(5, -2) + 5.0, // max(5, 3) + 5.0 // max(5, 1) + ]; + + for ( i = 0; i < data.length; i++ ) { + actual = acc( data[ i ] ); + t.strictEqual( actual, expected[ i ], 'returns expected value for index '+i ); + } + t.end(); +}); + +tape( 'if not provided a value, the accumulator returns the current maximum', function test( t ) { + var acc; + var v; + + acc = nanmmax(); + + v = acc(); + t.strictEqual( v, null, 'returns null before data' ); + + acc( 3.0 ); + acc( NaN ); + acc( 5.0 ); + + v = acc(); + t.strictEqual( v, 5.0, 'returns current maximum' ); + + t.end(); +}); + +tape( 'the accumulator correctly handles signed zeros', function test( t ) { + var expected; + var actual; + var data; + var acc; + var i; + + acc = nanmmax(); + + data = [ + -0.0, // max = -0 + 0.0, // max = +0 + -0.0, // max = +0 (positive zero wins) + -0.0, // max = +0 + 0.0 // max = +0 + ]; + + expected = [ + -0.0, + 0.0, + 0.0, + 0.0, + 0.0 + ]; + + for ( i = 0; i < data.length; i++ ) { + actual = acc( data[ i ] ); + if ( isPositiveZero( expected[ i ] ) ) { + t.strictEqual( isPositiveZero( actual ), true, 'returns +0 at index '+i ); + } else { + t.strictEqual( isNegativeZero( actual ), true, 'returns -0 at index '+i ); + } + } + t.end(); +}); + +tape( 'ignores NaN values when determining the maximum', function test( t ) { + var acc = nanmmax(); + var v; + + acc( 4.0 ); + acc( NaN ); + acc( 2.0 ); + acc( NaN ); + acc( 10.0 ); + acc( NaN ); + + v = acc(); + t.strictEqual( v, 10.0, 'correctly ignores NaN values' ); + t.end(); +});