diff --git a/CHANGELOG.md b/CHANGELOG.md index cee6f978..08656096 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -290,6 +290,40 @@ A total of 3 issues were closed in this release: +
+ +#### [@stdlib/array/base/mskunary5d](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/mskunary5d) + +
+ +
+ +##### Features + +- [`b26d9d5`](https://github.com/stdlib-js/stdlib/commit/b26d9d5bd9e60a63ce017bbb470f0769b6dcc628) - add `array/base/mskunary5d` [(#3207)](https://github.com/stdlib-js/stdlib/pull/3207) + +
+ + + +
+ +##### Closed Issues + +This release closes the following issue: + +[#3177](https://github.com/stdlib-js/stdlib/issues/3177) + +
+ + + +
+ +
+ + +
#### [@stdlib/array/bool](https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/bool) @@ -412,9 +446,9 @@ A total of 2 issues were closed in this release: ### Closed Issues -A total of 5 issues were closed in this release: +A total of 6 issues were closed in this release: -[#3135](https://github.com/stdlib-js/stdlib/issues/3135), [#3138](https://github.com/stdlib-js/stdlib/issues/3138), [#3178](https://github.com/stdlib-js/stdlib/issues/3178), [#3179](https://github.com/stdlib-js/stdlib/issues/3179), [#3180](https://github.com/stdlib-js/stdlib/issues/3180) +[#3135](https://github.com/stdlib-js/stdlib/issues/3135), [#3138](https://github.com/stdlib-js/stdlib/issues/3138), [#3177](https://github.com/stdlib-js/stdlib/issues/3177), [#3178](https://github.com/stdlib-js/stdlib/issues/3178), [#3179](https://github.com/stdlib-js/stdlib/issues/3179), [#3180](https://github.com/stdlib-js/stdlib/issues/3180)
@@ -424,13 +458,14 @@ A total of 5 issues were closed in this release: ### Contributors -A total of 5 people contributed to this release. Thank you to the following contributors: +A total of 6 people contributed to this release. Thank you to the following contributors: - Aayush Khanna - Abhijit - Athan Reines - Philipp Burckhardt - Rylan Yang +- Vinit Pandit @@ -442,6 +477,7 @@ A total of 5 people contributed to this release. Thank you to the following cont
+- [`b26d9d5`](https://github.com/stdlib-js/stdlib/commit/b26d9d5bd9e60a63ce017bbb470f0769b6dcc628) - **feat:** add `array/base/mskunary5d` [(#3207)](https://github.com/stdlib-js/stdlib/pull/3207) _(by Vinit Pandit, Athan Reines, Abhijit, stdlib-bot)_ - [`34ae5c9`](https://github.com/stdlib-js/stdlib/commit/34ae5c9570bf6428dc5bede92557ae56981554c2) - **feat:** add `array/base/mskbinary5d` [(#3198)](https://github.com/stdlib-js/stdlib/pull/3198) _(by Abhijit)_ - [`cb27ec4`](https://github.com/stdlib-js/stdlib/commit/cb27ec42bd7e65c46877e57064d36ff9b38b502b) - **feat:** add `array/base/mskbinary4d` [(#3196)](https://github.com/stdlib-js/stdlib/pull/3196) _(by Abhijit, Athan Reines)_ - [`e3a2173`](https://github.com/stdlib-js/stdlib/commit/e3a2173a24bd8634f333cace626fc2d71740ebd3) - **feat:** add `every` method to `array/fixed-endian-factory` [(#3200)](https://github.com/stdlib-js/stdlib/pull/3200) _(by Aayush Khanna, Athan Reines)_ diff --git a/base/mskunary5d/README.md b/base/mskunary5d/README.md new file mode 100644 index 00000000..f84ca9a4 --- /dev/null +++ b/base/mskunary5d/README.md @@ -0,0 +1,124 @@ + + +# mskunary5d + +> Apply a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assign results to elements in a five-dimensional nested output array. + +
+ +
+ + + +
+ +## Usage + +```javascript +var mskunary5d = require( '@stdlib/array/base/mskunary5d' ); +``` + +#### mskunary5d( arrays, shape, fcn ) + +Applies a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assigns results to elements in a five-dimensional nested output array. + +```javascript +var abs = require( '@stdlib/math/base/special/abs' ); + +var x = [ [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ] ]; +var mask = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; + +var shape = [ 1, 1, 1, 2, 2 ]; + +// Compute the absolute values in-place: +mskunary5d( [ x, mask, x ], shape, abs ); +// x => [ [ [ [ [ 1.0, -2.0 ], [ 3.0, 4.0 ] ] ] ] ] +``` + +The function accepts the following arguments: + +- **arrays**: array-like object containing one input nested array, an input nested mask array, and one output nested array. +- **shape**: array shape. +- **fcn**: unary function to apply. + +
+ + + +
+ +## Notes + +- The function assumes that the input and output arrays have the same shape. +- An element in an input array is "masked" if the corresponding element in the mask array is non-zero. + +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; +var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory; +var filled5dBy = require( '@stdlib/array/base/filled5d-by' ); +var zeros5d = require( '@stdlib/array/base/zeros5d' ); +var abs = require( '@stdlib/math/base/special/abs' ); +var mskunary5d = require( '@stdlib/array/base/mskunary5d' ); + +var shape = [ 1, 2, 2, 3, 3 ]; + +var x = filled5dBy( shape, discreteUniform( -100, 100 ) ); +console.log( x ); + +var mask = filled5dBy( shape, bernoulli( 0.5 ) ); +console.log( mask ); + +var y = zeros5d( shape ); +console.log( y ); + +mskunary5d( [ x, mask, y ], shape, abs ); +console.log( y ); +``` + +
+ + + + + + + + + + + + + + diff --git a/base/mskunary5d/benchmark/benchmark.js b/base/mskunary5d/benchmark/benchmark.js new file mode 100644 index 00000000..505c35ff --- /dev/null +++ b/base/mskunary5d/benchmark/benchmark.js @@ -0,0 +1,128 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/base/uniform' ).factory; +var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory; +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var identity = require( '@stdlib/math/base/special/identity' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var filled5dBy = require( './../../../base/filled5d-by' ); +var zeros5d = require( './../../../base/zeros5d' ); +var numel = require( '@stdlib/ndarray/base/numel' ); +var pkg = require( './../package.json' ).name; +var mskunary5d = require( './../lib' ); + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveIntegerArray} shape - array shape +* @returns {Function} benchmark function +*/ +function createBenchmark( shape ) { + var arrays; + var x; + var m; + var y; + + x = filled5dBy( shape, uniform( -100.0, 100.0 ) ); + m = filled5dBy( shape, bernoulli( 0.5 ) ); + y = zeros5d( shape ); + + arrays = [ x, m, y ]; + + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var i0; + var i1; + var i2; + var i3; + var i4; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + mskunary5d( arrays, shape, identity ); + i4 = i % shape[ 0 ]; + i3 = i % shape[ 1 ]; + i2 = i % shape[ 2 ]; + i1 = i % shape[ 3 ]; + i0 = i % shape[ 4 ]; + if ( isnan( arrays[ 2 ][ i4 ][ i3 ][ i2 ][ i1 ][ i0 ] ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + + i4 = i % shape[ 0 ]; + i3 = i % shape[ 1 ]; + i2 = i % shape[ 2 ]; + i1 = i % shape[ 3 ]; + i0 = i % shape[ 4 ]; + if ( isnan( arrays[ 2 ][ i4 ][ i3 ][ i2 ][ i1 ][ i0 ] ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var min; + var max; + var sh; + var N; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + N = floor( pow( pow( 10, i ), 1.0/5.0 ) ); + sh = [ N, N, N, N, N ]; + f = createBenchmark( sh ); + bench( pkg+'::equidimensional:size='+numel( sh ), f ); + } +} + +main(); diff --git a/base/mskunary5d/docs/repl.txt b/base/mskunary5d/docs/repl.txt new file mode 100644 index 00000000..2f50bfc9 --- /dev/null +++ b/base/mskunary5d/docs/repl.txt @@ -0,0 +1,34 @@ + +{{alias}}( arrays, shape, fcn ) + Applies a unary callback to elements in a five-dimensional nested input + array according to elements in a five-dimensional nested mask array and + assigns results to elements in a five-dimensional nested output array. + + An element in an input array is "masked" if the corresponding element in the + mask array is non-zero. + + Parameters + ---------- + arrays: ArrayLikeObject + Array-like object containing one input nested array, an input nested + mask array, and one output nested array. + + shape: Array + Array shape. + + fcn: Function + Unary callback. + + Examples + -------- + > var x = [ [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ] ]; + > var m = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; + > var y = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ]; + > var shape = [ 1, 1, 1, 2, 2 ]; + > {{alias}}( [ x, m, y ], shape, {{alias:@stdlib/math/base/special/abs}} ); + > y + [ [ [ [ [ 1.0, 0.0 ], [ 3.0, 4.0 ] ] ] ] ] + + See Also + -------- + diff --git a/base/mskunary5d/docs/types/index.d.ts b/base/mskunary5d/docs/types/index.d.ts new file mode 100644 index 00000000..ef1e48f3 --- /dev/null +++ b/base/mskunary5d/docs/types/index.d.ts @@ -0,0 +1,71 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2024 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 { Array5D } from '@stdlib/types/array'; +import { Shape5D } from '@stdlib/types/ndarray'; + +/** +* Unary callback. +* +* @param value - array element +* @returns result +*/ +type Unary = ( value: T ) => U; + +/** +* Applies a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assigns results to elements in a five-dimensional nested output array. +* +* ## Notes +* +* - The function assumes that the input and output arrays have the same shape. +* - An element in an input array is "masked" if the corresponding element in the mask array is non-zero. +* +* @param arrays - array containing one input nested array, an input nested mask array, and one output nested array +* @param shape - array shape +* @param fcn - unary callback +* +* @example +* var ones5d = require( '@stdlib/array/base/ones5d' ); +* var zeros5d = require( '@stdlib/array/base/zeros5d' ); +* +* function scale( x ) { +* return x * 10.0; +* } +* +* var shape = [ 1, 1, 1, 2, 2 ]; +* +* var x = ones5d( shape ); +* var y = zeros5d( shape ); +* +* var mask = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; +* +* mskunary5d( [ x, mask, y ], shape, scale ); +* +* console.log( y ); +* // => [ [ [ [ [ 10.0, 0.0 ], [ 10.0, 10.0 ] ] ] ] ] +*/ +declare function mskunary5d( arrays: [ Array5D, Array5D, Array5D ], shape: Shape5D, fcn: Unary ): void; + + +// EXPORTS // + +export = mskunary5d; diff --git a/base/mskunary5d/docs/types/test.ts b/base/mskunary5d/docs/types/test.ts new file mode 100644 index 00000000..5649cefd --- /dev/null +++ b/base/mskunary5d/docs/types/test.ts @@ -0,0 +1,95 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2024 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 mskunary5d = require( './index' ); + +/** +* Unary function. +* +* @param value - input value +* @returns result +*/ +function fcn( value: number ): number { + return value; +} + + +// TESTS // + +// The function returns undefined... +{ + const x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]; + const m = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; + const y = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ]; + + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectType void +} + +// The compiler throws an error if the function is provided a first argument which is not an array of nested arrays... +{ + mskunary5d( 'abc', [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( 3.14, [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( true, [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( false, [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( null, [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( [ '1' ], [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( {}, [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError + mskunary5d( ( x: number ): number => x, [ 1, 1, 1, 2, 2 ], fcn ); // $ExpectError +} + +// The compiler throws an error if the function is provided a second argument which is not an array of numbers... +{ + const x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]; + const m = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; + const y = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ]; + + mskunary5d( [ x, m, y ], 'abc', fcn ); // $ExpectError + mskunary5d( [ x, m, y ], 3.14, fcn ); // $ExpectError + mskunary5d( [ x, m, y ], true, fcn ); // $ExpectError + mskunary5d( [ x, m, y ], false, fcn ); // $ExpectError + mskunary5d( [ x, m, y ], null, fcn ); // $ExpectError + mskunary5d( [ x, m, y ], [ '1' ], fcn ); // $ExpectError + mskunary5d( [ x, m, y ], {}, fcn ); // $ExpectError + mskunary5d( [ x, m, y ], ( x: number ): number => x, fcn ); // $ExpectError +} + +// The compiler throws an error if the function is provided a third argument which is not a valid callback... +{ + const x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]; + const m = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; + const y = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ]; + + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], 'abc' ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], 3.14 ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], true ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], false ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], null ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], [ '1' ] ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], {} ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]; + const m = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; + const y = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ]; + + mskunary5d(); // $ExpectError + mskunary5d( [ x, m, y ] ); // $ExpectError + mskunary5d( [ x, m, y ], [ 1, 1, 1, 2, 2 ], fcn, {} ); // $ExpectError +} diff --git a/base/mskunary5d/examples/index.js b/base/mskunary5d/examples/index.js new file mode 100644 index 00000000..108e527f --- /dev/null +++ b/base/mskunary5d/examples/index.js @@ -0,0 +1,40 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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/base/discrete-uniform' ).factory; +var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory; +var filled5dBy = require( './../../../base/filled5d-by' ); +var zeros5d = require( './../../../base/zeros5d' ); +var abs = require( '@stdlib/math/base/special/abs' ); +var mskunary5d = require( './../lib' ); + +var shape = [ 1, 2, 1, 3, 3 ]; + +var x = filled5dBy( shape, discreteUniform( -100, 100 ) ); +console.log( x ); + +var mask = filled5dBy( shape, bernoulli( 0.5 ) ); +console.log( mask ); + +var y = zeros5d( shape ); +console.log( y ); + +mskunary5d( [ x, mask, y ], shape, abs ); +console.log( y ); diff --git a/base/mskunary5d/lib/index.js b/base/mskunary5d/lib/index.js new file mode 100644 index 00000000..1d7dc2ce --- /dev/null +++ b/base/mskunary5d/lib/index.js @@ -0,0 +1,55 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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'; + +/** +* Apply a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assign results to elements in a five-dimensional nested output array. +* +* @module @stdlib/array/base/mskunary5d +* +* @example +* var ones5d = require( '@stdlib/array/base/ones5d' ); +* var zeros5d = require( '@stdlib/array/base/zeros5d' ); +* var mskunary5d = require( '@stdlib/array/base/mskunary5d' ); + +* function scale( x ) { +* return x * 10.0; +* } +* +* var shape = [ 1, 1, 1, 2, 2 ]; +* +* var x = ones5d( shape ); +* var y = zeros5d( shape ); +* +* var mask = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; +* +* mskunary5d( [ x, mask, y ], shape, scale ); +* +* console.log( y ); +* // => [ [ [ [ [ 10.0, 0.0 ], [ 10.0, 10.0 ] ] ] ] ] +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/base/mskunary5d/lib/main.js b/base/mskunary5d/lib/main.js new file mode 100644 index 00000000..104b892d --- /dev/null +++ b/base/mskunary5d/lib/main.js @@ -0,0 +1,125 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 max-depth */ + +'use strict'; + +// MAIN // + +/** +* Applies a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assigns results to elements in a five-dimensional nested output array. +* +* ## Notes +* +* - The function assumes that the input and output arrays have the same shape. +* +* @param {ArrayLikeObject>} arrays - array-like object containing one input nested array, an input nested mask array, and one output nested array +* @param {NonNegativeIntegerArray} shape - array shape +* @param {Callback} fcn - unary callback +* @returns {void} +* +* @example +* var ones5d = require( '@stdlib/array/base/ones5d' ); +* var zeros5d = require( '@stdlib/array/base/zeros5d' ); + +* function scale( x ) { +* return x * 10.0; +* } +* +* var shape = [ 1, 1, 1, 2, 2 ]; +* +* var x = ones5d( shape ); +* var y = zeros5d( shape ); +* +* var mask = [ [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ] ]; +* +* mskunary5d( [ x, mask, y ], shape, scale ); +* +* console.log( y ); +* // => [ [ [ [ [ 10.0, 0.0 ], [ 10.0, 10.0 ] ] ] ] ] +*/ +function mskunary5d( arrays, shape, fcn ) { + var S0; + var S1; + var S2; + var S3; + var S4; + var i0; + var i1; + var i2; + var i3; + var i4; + var x0; + var x1; + var x2; + var x3; + var y0; + var y1; + var y2; + var y3; + var m0; + var m1; + var m2; + var m3; + var x; + var y; + var m; + + S0 = shape[ 4 ]; + S1 = shape[ 3 ]; + S2 = shape[ 2 ]; + S3 = shape[ 1 ]; + S4 = shape[ 0 ]; + if ( S0 <= 0 || S1 <= 0 || S2 <= 0 || S3 <= 0 || S4 <= 0 ) { + return; + } + x = arrays[ 0 ]; + y = arrays[ 2 ]; + m = arrays[ 1 ]; + for ( i4 = 0; i4 < S4; i4++ ) { + x3 = x[ i4 ]; + y3 = y[ i4 ]; + m3 = m[ i4 ]; + for ( i3 = 0; i3 < S3; i3++ ) { + x2 = x3[ i3 ]; + y2 = y3[ i3 ]; + m2 = m3[ i3 ]; + for ( i2 = 0; i2 < S2; i2++ ) { + x1 = x2[ i2 ]; + y1 = y2[ i2 ]; + m1 = m2[ i2 ]; + for ( i1 = 0; i1 < S1; i1++ ) { + x0 = x1[ i1 ]; + y0 = y1[ i1 ]; + m0 = m1[ i1 ]; + for ( i0 = 0; i0 < S0; i0++ ) { + if ( m0[ i0 ] === 0 ) { + y0[ i0 ] = fcn( x0[ i0 ] ); + } + } + } + } + } + } +} + + +// EXPORTS // + +module.exports = mskunary5d; diff --git a/base/mskunary5d/package.json b/base/mskunary5d/package.json new file mode 100644 index 00000000..6f435566 --- /dev/null +++ b/base/mskunary5d/package.json @@ -0,0 +1,73 @@ +{ + "name": "@stdlib/array/base/mskunary5d", + "version": "0.0.0", + "description": "Apply a unary callback to elements in a five-dimensional nested input array according to elements in a five-dimensional nested mask array and assign results to elements in a five-dimensional nested output array.", + "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", + "base", + "array", + "multidimensional", + "ndarray", + "matrix", + "5d", + "unary", + "apply", + "foreach", + "map", + "transform", + "masked", + "mask", + "skip", + "skipped", + "missing", + "missing values", + "na" + ], + "__stdlib__": {} +} diff --git a/base/mskunary5d/test/test.js b/base/mskunary5d/test/test.js new file mode 100644 index 00000000..26049d94 --- /dev/null +++ b/base/mskunary5d/test/test.js @@ -0,0 +1,407 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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 abs = require( '@stdlib/math/base/special/abs' ); +var zeros5d = require( './../../../base/zeros5d' ); +var mskunary5d = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof mskunary5d, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function applies a provided callback to a nested input array and assigns results to a nested output array', function test( t ) { + var expected; + var shape; + var x; + var y; + var m; + + shape = [ 2, 2, 2, 2, 2 ]; + x = [ + [ + [ + [ + [ -4, -4 ], [ -1, -6 ] + ], + [ + [ -4, -4 ], [ -1, -6 ] + ] + ], + [ + [ + [ -4, -4 ], [ -1, -6 ] + ], + [ + [ -4, -4 ], [ -1, -6 ] + ] + ] + ], + [ + [ + [ + [ -4, -4 ], [ -1, -6 ] + ], + [ + [ -4, -4 ], [ -1, -6 ] + ] + ], + [ + [ + [ -4, -4 ], [ -1, -6 ] + ], + [ + [ -4, -4 ], [ -1, -6 ] + ] + ] + ] + ]; + m = [ + [ + [ + [ + [ 1, 0 ], [ 0, 0 ] + ], + [ + [ 0, 1 ], [ 0, 0 ] + ] + ], + [ + [ + [ 0, 0 ], [ 0, 0 ] + ], + [ + [ 0, 1 ], [ 1, 0 ] + ] + ] + ], + [ + [ + [ + [ 0, 0 ], [ 0, 0 ] + ], + [ + [ 0, 1 ], [ 0, 0 ] + ] + ], + [ + [ + [ 0, 0 ], [ 1, 0 ] + ], + [ + [ 0, 1 ], [ 1, 0 ] + ] + ] + ] + ]; + + expected = [ + [ + [ + [ + [ 0.0, 4.0 ], [ 1.0, 6.0 ] + ], + [ + [ 4.0, 0.0 ], [ 1.0, 6.0 ] + ] + ], + [ + [ + [ 4.0, 4.0 ], [ 1.0, 6.0 ] + ], + [ + [ 4.0, 0.0 ], [ 0.0, 6.0 ] + ] + ] + ], + [ + [ + [ + [ 4.0, 4.0 ], [ 1.0, 6.0 ] + ], + [ + [ 4.0, 0.0 ], [ 1.0, 6.0 ] + ] + ], + [ + [ + [ 4.0, 4.0 ], [ 0.0, 6.0 ] + ], + [ + [ 4.0, 0.0 ], [ 0.0, 6.0 ] + ] + ] + ] + ]; + + y = zeros5d( shape ); + mskunary5d( [ x, m, y ], shape, abs ); + + t.deepEqual( y, expected, 'returns expected value' ); + + shape = [ 1, 1, 1, 2, 2 ]; + x = [ + [ + [ + [ + [ -1.0, -2.0 ], + [ -3.0, -4.0 ] + ] + ] + ] + ]; + m = [ + [ + [ + [ + [ 0, 1 ], + [ 0, 0 ] + ] + ] + ] + ]; + expected = [ + [ + [ + [ + [ 1.0, 0.0 ], + [ 3.0, 4.0 ] + ] + ] + ] + ]; + y = zeros5d( shape ); + mskunary5d( [ x, m, y ], shape, abs ); + t.deepEqual( y, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function does not invoke a provided callback if provided a shape having a first element equal to zero', function test( t ) { + var expected; + var shape; + var x; + var y; + var m; + + shape = [ 1, 1, 1, 2, 2 ]; + x = [ + [ + [ + [ + [ -1.0, -2.0 ], + [ -3.0, -4.0 ] + ] + ] + ] + ]; + y = zeros5d( shape ); + m = [ + [ + [ + [ + [ 0, 1 ], + [ 0, 0 ] + ] + ] + ] + ]; + + expected = zeros5d( shape ); + mskunary5d( [ x, m, y ], [ 0, 1, 1, 2, 2 ], clbk ); + + t.deepEqual( y, expected, 'returns expected value' ); + t.end(); + + function clbk() { + t.ok( false, 'should not invoke callback' ); + } +}); + +tape( 'the function does not invoke a provided callback if provided a shape having a second element equal to zero', function test( t ) { + var expected; + var shape; + var x; + var y; + var m; + + shape = [ 1, 1, 1, 2, 2 ]; + x = [ + [ + [ + [ + [ -1.0, -2.0 ], + [ -3.0, -4.0 ] + ] + ] + ] + ]; + y = zeros5d( shape ); + m = [ + [ + [ + [ + [ 0, 1 ], + [ 0, 0 ] + ] + ] + ] + ]; + + expected = zeros5d( shape ); + mskunary5d( [ x, m, y ], [ 1, 0, 1, 2, 2 ], clbk ); + + t.deepEqual( y, expected, 'returns expected value' ); + t.end(); + + function clbk() { + t.ok( false, 'should not invoke callback' ); + } +}); + +tape( 'the function does not invoke a provided callback if provided a shape having a third element equal to zero', function test( t ) { + var expected; + var shape; + var x; + var y; + var m; + + shape = [ 1, 1, 1, 2, 2 ]; + x = [ + [ + [ + [ + [ 1.0, 2.0 ], + [ 3.0, 4.0 ] + ] + ] + ] + ]; + y = zeros5d( shape ); + m = [ + [ + [ + [ + [ 0, 1 ], + [ 0, 0 ] + ] + ] + ] + ]; + + expected = zeros5d( shape ); + mskunary5d( [ x, m, y ], [ 1, 1, 0, 2, 2 ], clbk ); + + t.deepEqual( y, expected, 'returns expected value' ); + t.end(); + + function clbk() { + t.ok( false, 'should not invoke callback' ); + } +}); + +tape( 'the function does not invoke a provided callback if provided a shape having a fourth element equal to zero', function test( t ) { + var expected; + var shape; + var x; + var y; + + var m; + + shape = [ 1, 1, 1, 2, 2 ]; + x = [ + [ + [ + [ + [ 1.0, 2.0 ], + [ 3.0, 4.0 ] + ] + ] + ] + ]; + y = zeros5d( shape ); + m = [ + [ + [ + [ + [ 0, 1 ], + [ 0, 0 ] + ] + ] + ] + ]; + + expected = zeros5d( shape ); + mskunary5d( [ x, m, y ], [ 1, 1, 2, 0, 2 ], clbk ); + + t.deepEqual( y, expected, 'returns expected value' ); + t.end(); + + function clbk() { + t.ok( false, 'should not invoke callback' ); + } +}); + +tape( 'the function does not invoke a provided callback if provided a shape having a fifth element equal to zero', function test( t ) { + var expected; + var shape; + var x; + var y; + var m; + + shape = [ 1, 1, 1, 2, 2 ]; + x = [ + [ + [ + [ + [ 1.0, 2.0 ], + [ 3.0, 4.0 ] + ] + ] + ] + ]; + y = zeros5d( shape ); + m = [ + [ + [ + [ + [ 0, 1 ], + [ 0, 0 ] + ] + ] + ] + ]; + + expected = zeros5d( shape ); + mskunary5d( [ x, m, y ], [ 1, 1, 2, 2, 0 ], clbk ); + + t.deepEqual( y, expected, 'returns expected value' ); + t.end(); + + function clbk() { + t.ok( false, 'should not invoke callback' ); + } +});