From 240734ac0899c58c66218ce7f4752614db505da7 Mon Sep 17 00:00:00 2001 From: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> Date: Mon, 17 Mar 2025 02:44:08 +0530 Subject: [PATCH 1/2] feat: refactor and add protocol support to stats/base/nanmskmin #5663 * Update benchmark.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update benchmark.ndarray.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update index.d.ts Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update test.ts Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update index.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Create accessors.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update nanmskmin.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update ndarray.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update test.nanmskmin.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update test.ndarray.js Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update README.md Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> * Update repl.txt Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> --------- Signed-off-by: Kaushikgtm <162317291+Kaushikgtm@users.noreply.github.com> --- .../@stdlib/stats/base/nanmskmin/README.md | 65 ++++------ .../base/nanmskmin/benchmark/benchmark.js | 28 ++--- .../nanmskmin/benchmark/benchmark.ndarray.js | 28 ++--- .../stats/base/nanmskmin/docs/repl.txt | 24 ++-- .../base/nanmskmin/docs/types/index.d.ts | 25 ++-- .../stats/base/nanmskmin/docs/types/test.ts | 5 +- .../stats/base/nanmskmin/examples/index.js | 32 ++--- .../stats/base/nanmskmin/lib/accessors.js | 119 ++++++++++++++++++ .../stats/base/nanmskmin/lib/nanmskmin.js | 55 +------- .../stats/base/nanmskmin/lib/ndarray.js | 16 ++- .../base/nanmskmin/test/test.nanmskmin.js | 61 ++++++++- .../stats/base/nanmskmin/test/test.ndarray.js | 60 ++++++++- 12 files changed, 344 insertions(+), 174 deletions(-) create mode 100644 lib/node_modules/@stdlib/stats/base/nanmskmin/lib/accessors.js diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/nanmskmin/README.md index e1d63bb6afc5..b0387c607392 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/README.md +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/README.md @@ -2,7 +2,7 @@ @license Apache-2.0 -Copyright (c) 2020 The Stdlib Authors. +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. @@ -52,20 +52,18 @@ The function has the following parameters: - **N**: number of indexed elements. - **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array]. -- **strideX**: index increment for `x`. +- **strideX**: stride length for `x`. - **mask**: mask [`Array`][mdn-array] or [`typed array`][mdn-typed-array]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation. -- **strideMask**: index increment for `mask`. +- **strideMask**: stride length for `mask`. -The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the minimum value of every other element in `x`, +The `N` and `stride` parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the minimum value of every other element in `x`, ```javascript -var floor = require( '@stdlib/math/base/special/floor' ); - var x = [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, -5.0, -6.0 ]; var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ]; -var N = floor( x.length / 2 ); -var v = nanmskmin( N, x, 2, mask, 2 ); + +var v = nanmskmin( 4, x, 2, mask, 2 ); // returns -7.0 ``` @@ -76,7 +74,7 @@ Note that indexing is relative to the first index. To introduce offsets, use [`t ```javascript var Float64Array = require( '@stdlib/array/float64' ); var Uint8Array = require( '@stdlib/array/uint8' ); -var floor = require( '@stdlib/math/base/special/floor' ); + var x0 = new Float64Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ] ); var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element @@ -84,9 +82,8 @@ var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd var mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] ); var mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element -var N = floor( x0.length / 2 ); -var v = nanmskmin( N, x1, 2, mask1, 2 ); +var v = nanmskmin( 4, x1, 2, mask1, 2 ); // returns -2.0 ``` @@ -107,16 +104,15 @@ The function has the following additional parameters: - **offsetX**: starting index for `x`. - **offsetMask**: starting index for `mask`. -While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the minimum value for every other value in `x` starting from the second value +While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset +indexing semantics based on +starting indices. For example, to calculate the minimum value for every other value in `x` starting from the second value ```javascript -var floor = require( '@stdlib/math/base/special/floor' ); - var x = [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, -5.0, -6.0 ]; var mask = [ 0, 0, 0, 0, 0, 0, 1, 1 ]; -var N = floor( x.length / 2 ); -var v = nanmskmin.ndarray( N, x, 2, 1, mask, 2, 1 ); +var v = nanmskmin.ndarray( 4, x, 2, 1, mask, 2, 1 ); // returns -2.0 ``` @@ -130,6 +126,8 @@ var v = nanmskmin.ndarray( N, x, 2, 1, mask, 2, 1 ); - If `N <= 0`, both functions return `NaN`. - Depending on the environment, the typed versions ([`dnanmskmin`][@stdlib/stats/base/dnanmskmin], [`snanmskmin`][@stdlib/stats/base/snanmskmin], etc.) are likely to be significantly more performant. +- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]). + @@ -142,31 +140,18 @@ var v = nanmskmin.ndarray( N, x, 2, 1, mask, 2, 1 ); ```javascript -var randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); -var Uint8Array = require( '@stdlib/array/uint8' ); +var uniform = require( '@stdlib/random/array/uniform' ); + var bernoulli = require( '@stdlib/random/array/bernoulli' ); var nanmskmin = require( '@stdlib/stats/base/nanmskmin' ); -var mask; -var x; -var i; - -x = new Float64Array( 10 ); -mask = new Uint8Array( x.length ); -for ( i = 0; i < x.length; i++ ) { - if ( randu() < 0.2 ) { - mask[ i ] = 1; - } else { - mask[ i ] = 0; - } - if ( randu() < 0.1 ) { - x[ i ] = NaN; - } else { - x[ i ] = round( (randu()*100.0) - 50.0 ); - } -} +var x = uniform( 10, -50.0, 50.0, { + 'dtype': 'float64' + }); console.log( x ); + +var mask = bernoulli( x.length, 0.2, { + 'dtype': 'uint8' + }); console.log( mask ); var v = nanmskmin( x.length, x, 1, mask, 1 ); @@ -201,6 +186,10 @@ console.log( v ); [mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array + +[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor + + [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.js index b9ddaf5a7d17..4beab2df3e7f 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* 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. @@ -21,13 +21,21 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var bernoulli = require( '@stdlib/random/array/bernoulli' ); var pow = require( '@stdlib/math/base/special/pow' ); var pkg = require( './../package.json' ).name; var nanmskmin = require( './../lib/nanmskmin.js' ); +// VARIABLES // + + var options = { + 'dtype': 'generic' + }; + + // FUNCTIONS // /** @@ -38,20 +46,8 @@ var nanmskmin = require( './../lib/nanmskmin.js' ); * @returns {Function} benchmark function */ function createBenchmark( len ) { - var mask; - var x; - var i; - - x = []; - mask = []; - for ( i = 0; i < len; i++ ) { - if ( randu() < 0.2 ) { - mask.push( 1 ); - } else { - mask.push( 0 ); - } - x.push( ( randu()*20.0 ) - 10.0 ); - } + var mask = bernoulli( len, 0.2, options ); + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.ndarray.js index b4e6c253ce48..2d3488016bc7 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.ndarray.js +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/benchmark/benchmark.ndarray.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* 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. @@ -21,13 +21,21 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var bernoulli = require( '@stdlib/random/array/bernoulli' ); var pow = require( '@stdlib/math/base/special/pow' ); var pkg = require( './../package.json' ).name; var nanmskmin = require( './../lib/ndarray.js' ); +// VARIABLES // + +var options = { + 'dtype': 'generic' +}; + + // FUNCTIONS // /** @@ -38,20 +46,8 @@ var nanmskmin = require( './../lib/ndarray.js' ); * @returns {Function} benchmark function */ function createBenchmark( len ) { - var mask; - var x; - var i; - - x = []; - mask = []; - for ( i = 0; i < len; i++ ) { - if ( randu() < 0.2 ) { - mask.push( 1 ); - } else { - mask.push( 0 ); - } - x.push( ( randu()*20.0 ) - 10.0 ); - } + var mask = bernoulli( len, 0.2, options ); + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/repl.txt index 6ca57a6c18b0..dbd5f616798f 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/repl.txt +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/repl.txt @@ -3,8 +3,8 @@ Computes the minimum value of a strided array according to a mask and ignoring `NaN` values. - The `N` and `stride` parameters determine which elements are accessed at - runtime. + The `N` and stride parameters determine which elements in the strided arrays + are accessed at runtime. Indexing is relative to the first index. To introduce offsets, use a typed array views. @@ -26,13 +26,13 @@ Input array. strideX: integer - Index increment for `x`. + Stride length for `x`. mask: Array|TypedArray Mask array. strideMask: integer - Index increment for `mask`. + Stride length for `mask`. Returns ------- @@ -47,11 +47,9 @@ > {{alias}}( x.length, x, 1, mask, 1 ) -2.0 - // Using `N` and `stride` parameters: + // Using `N` and stride parameters: > x = [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, -4.0 ]; - > mask = [ 0, 0, 0, 0, 0, 0, 1 ]; - > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); - > {{alias}}( N, x, 2, mask, 2 ) + > {{alias}}( 3, x, 2, mask, 2 ) -2.0 // Using view offsets: @@ -59,8 +57,7 @@ > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); > var mask0 = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 0, 0, 0, 0, 1 ] ); > var mask1 = new {{alias:@stdlib/array/uint8}}( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); - > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 ); - > {{alias}}( N, x1, 2, mask1, 2 ) + >{{alias}}( 3, x1, 2, mask1, 2 ) -2.0 {{alias}}.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask ) @@ -80,7 +77,7 @@ Input array. strideX: integer - Index increment for `x`. + Stride length for `x`. offsetX: integer Starting index for `x`. @@ -89,7 +86,7 @@ Mask array. strideMask: integer - Index increment for `mask`. + Stride length for `mask`. offsetMask: integer Starting index for `mask`. @@ -110,8 +107,7 @@ // Using offset parameter: > x = [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, -4.0 ]; > mask = [ 0, 0, 0, 0, 0, 0, 1 ]; - > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); - > {{alias}}.ndarray( N, x, 2, 1, mask, 2, 1 ) + > {{alias}}.ndarray( 3, x, 2, 1, mask, 2, 1 ) -2.0 See Also diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/index.d.ts index 1440b3275d73..18e29182678c 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/index.d.ts @@ -1,7 +1,7 @@ /* * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* 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. @@ -20,7 +20,12 @@ /// -import { NumericArray } from '@stdlib/types/array'; +import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array'; + + /** + * Input array. + */ + type InputArray = NumericArray | Collection | AccessorArrayLike; /** * Interface describing `nanmskmin`. @@ -31,9 +36,9 @@ interface Routine { * * @param N - number of indexed elements * @param x - input array - * @param strideX - `x` stride length + * @param strideX - stride length for `x` * @param mask - mask array - * @param strideMask - `mask` stride length + * @param strideMask - stride length for `mask` * @returns minimum value * * @example @@ -43,17 +48,17 @@ interface Routine { * var v = nanmskmin( x.length, x, 1, mask, 1 ); * // returns -2.0 */ - ( N: number, x: NumericArray, strideX: number, mask: NumericArray, strideMask: number ): number; + ( N: number, x: InputArray, strideX: number, mask: InputArray, strideMask: number ): number; /** * Computes the minimum value of a strided array according to a mask, ignoring `NaN` values and using alternative indexing semantics. * * @param N - number of indexed elements * @param x - input array - * @param strideX - `x` stride length + * @param strideX - stride length for `x` * @param offsetX - `x` starting index * @param mask - mask array - * @param strideMask - `mask` stride length + * @param strideMask - stride length for `mask` * @param offsetMask - `mask` starting index * @returns minimum value * @@ -64,7 +69,7 @@ interface Routine { * var v = nanmskmin.ndarray( x.length, x, 1, 0, mask, 1, 0 ); * // returns -2.0 */ - ndarray( N: number, x: NumericArray, strideX: number, offsetX: number, mask: NumericArray, strideMask: number, offsetMask: number ): number; + ndarray( N: number, x: InputArray, strideX: number, offsetX: number, mask: InputArray, strideMask: number, offsetMask: number ): number; } /** @@ -72,9 +77,9 @@ interface Routine { * * @param N - number of indexed elements * @param x - input array -* @param strideX - `x` stride length +* @param strideX - stride length for `x` * @param mask - mask array -* @param strideMask - `mask` stride length +* @param strideMask - stride length for `mask` * @returns minimum value * * @example diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/test.ts index 84a9f398704b..17629d884c53 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/test.ts +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/docs/types/test.ts @@ -1,7 +1,7 @@ /* * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* 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. @@ -17,6 +17,7 @@ */ import nanmskmin = require( './index' ); +import AccessorArray = require( '@stdlib/array/base/accessor' ); // TESTS // @@ -27,6 +28,7 @@ import nanmskmin = require( './index' ); const mask = new Uint8Array( 10 ); nanmskmin( x.length, x, 1, mask, 1 ); // $ExpectType number + nanmskmin( x.length, new AccessorArray( x ), 1, mask, 1); } // The compiler throws an error if the function is provided a first argument which is not a number... @@ -123,6 +125,7 @@ import nanmskmin = require( './index' ); const mask = new Uint8Array( 10 ); nanmskmin.ndarray( x.length, x, 1, 0, mask, 1, 0 ); // $ExpectType number + nanmskmin.ndarray( x.length, new AccessorArray( x ), 1, 0, new AccessorArray( mask ), 1, 0 ); } // The compiler throws an error if the `ndarray` method is provided a first argument which is not a number... diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/nanmskmin/examples/index.js index fc061ffb0006..6a425b7db824 100644 --- a/lib/node_modules/@stdlib/stats/base/nanmskmin/examples/index.js +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/examples/index.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2020 The Stdlib Authors. +* 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. @@ -18,31 +18,19 @@ 'use strict'; -var randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); -var Uint8Array = require( '@stdlib/array/uint8' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var bernoulli = require( '@stdlib/random/array/bernoulli' ); var nanmskmin = require( './../lib' ); -var mask; -var x; -var i; +var x = uniform( 10, -50.0, 50.0, { + 'dtype': 'float64' +}); -x = new Float64Array( 10 ); -mask = new Uint8Array( x.length ); -for ( i = 0; i < x.length; i++ ) { - if ( randu() < 0.2 ) { - mask[ i ] = 1; - } else { - mask[ i ] = 0; - } - if ( randu() < 0.1 ) { - x[ i ] = NaN; - } else { - x[ i ] = round( (randu()*100.0) - 50.0 ); - } -} console.log( x ); + +var mask = bernoulli( x.length, 0.2, { + 'dtype': 'uint8' +}); console.log( mask ); var v = nanmskmin( x.length, x, 1, mask, 1 ); diff --git a/lib/node_modules/@stdlib/stats/base/nanmskmin/lib/accessors.js b/lib/node_modules/@stdlib/stats/base/nanmskmin/lib/accessors.js new file mode 100644 index 000000000000..9e9bf426301c --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/nanmskmin/lib/accessors.js @@ -0,0 +1,119 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isNegativeZero = require( '@stdlib/math/base/assert/is-negative-zero' ); + + +// MAIN // + +/** +* Computes the minimum value of a strided array according to a mask, ignoring `NaN` values. +* +* @private +* @param {PositiveInteger} N - number of indexed elements +* @param {Object} x - input array object +* @param {Collection} x.data - input array data +* @param {Array} x.accessors - array element accessors +* @param {integer} strideX - stride length for `x` +* @param {NonNegativeInteger} offsetX - starting index for `x` +* @param {Object} mask - mask array object +* @param {Collection} mask.data - mask array data +* @param {Array} mask.accessors - mask element accessors +* @param {integer} strideMask - stride length for `mask` +* @param {NonNegativeInteger} offsetMask - starting index for `mask` +* @returns {Object} output minimum value +* +/* +*@example + +* var floor = require( '@stdlib/math/base/special/floor' ); +* +* var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, -5.0, -6.0 ]; +* var mask = [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 ]; +* var N = floor( x.length / 2 ); +* +* var v = mskmax( 5, arraylike2object( toAccessorArray( x ) ), 2, 1, arraylike2object( toAccessorArray( mask ) ), 2, 1 ); +* // returns -2.0 +*/ +function nanmskmin( N, x, StrideX, offsetX, mask, StrideM, offsetMask) { + var xbuf; + var mbuf; + var xget; + var mget; + var min; + var ix; + var im; + var v; + var i; + + // Cache references to array data: + + xbuf = x.data; + mbuf = mask.data; + + // Cache references to element accessors: + + xget = x.accessors[0]; + mget = mask.accessors[0]; + + if(N <= 0){ + return NaN; + } + ix = offsetX; + im = offsetMask; + for(i = 0; i< N; i++) { + if( mget( mbuf, im) === 0){ + break; + } + ix += StrideX; + im += StrideM; + + if( i == N ){ + return NaN + } + min = xget( xbuf, ix); + if( isnan( min )) { + return min; + } + i+1; + for( i; i Date: Sat, 29 Mar 2025 23:54:56 +0530 Subject: [PATCH 2/2] refactor and add protocol support to stats/base/nanrange-by --- .../@stdlib/stats/base/nanrange-by/README.md | 35 ++-- .../base/nanrange-by/benchmark/benchmark.js | 23 ++- .../benchmark/benchmark.ndarray.js | 25 ++- .../stats/base/nanrange-by/docs/repl.txt | 18 +- .../base/nanrange-by/docs/types/index.d.ts | 28 +-- .../stats/base/nanrange-by/docs/types/test.ts | 11 +- .../stats/base/nanrange-by/examples/index.js | 13 +- .../stats/base/nanrange-by/lib/accessors.js | 103 ++++++++++ .../stats/base/nanrange-by/lib/nanrange_by.js | 59 +----- .../stats/base/nanrange-by/lib/ndarray.js | 25 ++- .../base/nanrange-by/test/test.nanrange_by.js | 183 +++++++++++++++++- .../base/nanrange-by/test/test.ndarray.js | 174 +++++++++++++++++ 12 files changed, 558 insertions(+), 139 deletions(-) create mode 100644 lib/node_modules/@stdlib/stats/base/nanrange-by/lib/accessors.js diff --git a/lib/node_modules/@stdlib/stats/base/nanrange-by/README.md b/lib/node_modules/@stdlib/stats/base/nanrange-by/README.md index 7b0aa8cbc599..a1ecb1f48b6d 100644 --- a/lib/node_modules/@stdlib/stats/base/nanrange-by/README.md +++ b/lib/node_modules/@stdlib/stats/base/nanrange-by/README.md @@ -2,7 +2,7 @@ @license Apache-2.0 -Copyright (c) 2020 The Stdlib Authors. +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. @@ -38,7 +38,7 @@ The [**range**][range] is defined as the difference between the maximum and mini var nanrangeBy = require( '@stdlib/stats/base/nanrange-by' ); ``` -#### nanrangeBy( N, x, stride, clbk\[, thisArg] ) +#### nanrangeBy( N, x, strideX, clbk\[, thisArg] ) Calculates the [range][range] of strided array `x` via a callback function, ignoring `NaN` values. @@ -57,7 +57,7 @@ The function has the following parameters: - **N**: number of indexed elements. - **x**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions). -- **stride**: index increment. +- **strideX**: index increment. - **clbk**: callback function. - **thisArg**: execution context (_optional_). @@ -65,7 +65,7 @@ The invoked callback is provided four arguments: - **value**: array element. - **aidx**: array index. -- **sidx**: strided index (`offset + aidx*stride`). +- **sidx**: strided index (`offsetX + aidx*strideX`). - **array**: input array/collection. To set the callback execution context, provide a `thisArg`. @@ -89,7 +89,7 @@ var cnt = context.count; // returns 10 ``` -The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to access every other element +The `N` and `strideX` parameters determine which elements in `x` are accessed at runtime. For example, to access every other element ```javascript var floor = require( '@stdlib/math/base/special/floor' ); @@ -127,7 +127,7 @@ var v = nanrangeBy( N, x1, 2, accessor ); // returns 8.0 ``` -#### nanrangeBy.ndarray( N, x, stride, offset, clbk\[, thisArg] ) +#### nanrangeBy.ndarray( N, x, strideX, offsetX, clbk\[, thisArg] ) Calculates the [range][range] of strided array `x` via a callback function, ignoring `NaN` values and using alternative indexing semantics. @@ -144,9 +144,9 @@ var v = nanrangeBy.ndarray( x.length, x, 1, 0, accessor ); The function has the following additional parameters: -- **offset**: starting index. +- **offsetX**: starting index. -While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to access only the last three elements of `x` +While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offsetX` parameter supports indexing semantics based on a starting index. For example, to access only the last three elements of `x` ```javascript function accessor( v ) { @@ -185,22 +185,23 @@ var v = nanrangeBy.ndarray( 3, x, 1, x.length-3, accessor ); ```javascript var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); var filledarrayBy = require( '@stdlib/array/filled-by' ); +var bernoulli = require( '@stdlib/random/base/bernoulli' ); var nanrangeBy = require( '@stdlib/stats/base/nanrange-by' ); -function fill() { - if ( randu() < 0.2 ) { +function rand() { + if ( bernoulli( 0.8 ) < 1 ) { return NaN; } - return discreteUniform( -50, 50 ); + return uniform( -50.0, 50.0 ); } function accessor( v ) { return v * 2.0; } -var x = filledarrayBy( 10, 'float64', fill ); +var x = filledarrayBy( 10, 'float64', rand ); console.log( x ); var v = nanrangeBy( x.length, x, 1, accessor ); @@ -235,23 +236,17 @@ console.log( v );