ndarray-base-unary-strided1d-dispatch

Constructor for applying a strided function to an input ndarray.

https://github.com/stdlib-js/ndarray-base-unary-strided1d-dispatch

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aggregate aggregation apply array call cumulative javascript ndarray node node-js nodejs stdlib strided tools vector

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Constructor for applying a strided function to an input ndarray.

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Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
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aggregate aggregation apply array call cumulative javascript ndarray node node-js nodejs stdlib strided tools vector

Created 10 months ago · Last pushed 9 months ago

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We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

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UnaryStrided1dDispatch

Constructor for applying a strided function to an input ndarray.

## Installation ```bash npm install @stdlib/ndarray-base-unary-strided1d-dispatch ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage ```javascript var UnaryStrided1dDispatch = require( '@stdlib/ndarray-base-unary-strided1d-dispatch' ); ``` #### UnaryStrided1dDispatch( table, idtypes, odtypes, policies\[, options] ) Returns an interface for applying a strided function to an input ndarray. ```javascript var base = require( '@stdlib/stats-base-ndarray-cumax' ); var table = { 'default': base }; var dtypes = [ 'float64', 'float32', 'generic' ]; var policies = { 'output': 'same', 'casting': 'none' }; var unary = new UnaryStrided1dDispatch( table, [ dtypes ], dtypes, policies ); ``` The constructor has the following parameters: - **table**: strided function dispatch table. Must have the following properties: - **default**: default strided function which should be invoked when provided ndarrays have data types which do not have a corresponding specialized implementation. A dispatch table may have the following additional properties: - **types**: one-dimensional list of ndarray data types describing specialized input and output ndarray argument signatures. Only the input and output ndarray argument data types should be specified. Additional ndarray argument data types should be omitted and are not considered during dispatch. The length of `types` must equal the number of strided functions specified by `fcns` multiplied by two (i.e., for every pair of input-output ndarray data types, there must be a corresponding strided function in `fcns`). - **fcns**: list of strided functions which are specific to specialized input and output ndarray argument signatures. - **idtypes**: list containing lists of supported input data types for each input ndarray argument. - **odtypes**: list of supported output data types. - **policies**: dispatch policies. Must have the following properties: - **output**: output data type [policy][@stdlib/ndarray/output-dtype-policies]. - **casting**: input ndarray casting [policy][@stdlib/ndarray/input-casting-policies]. - **options**: function options (_optional_). The constructor supports the following options: - **strictTraversalOrder**: boolean specifying whether the order of element traversal must match the memory layout order of an input ndarray. Default: `false`. #### UnaryStrided1dDispatch.prototype.apply( x\[, ...args]\[, options] ) Applies a strided function to a provided input ndarray. ```javascript var ndarray = require( '@stdlib/ndarray-base-ctor' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var base = require( '@stdlib/stats-base-ndarray-cumax' ); var table = { 'default': base }; var dtypes = [ 'float64', 'float32', 'generic' ]; var policies = { 'output': 'same', 'casting': 'none' }; var unary = new UnaryStrided1dDispatch( table, [ dtypes ], dtypes, policies ); var xbuf = [ -1.0, 2.0, -3.0 ]; var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); var y = unary.apply( x ); // returns var arr = ndarray2array( y ); // returns [ -1.0, 2.0, 2.0 ] ``` The method has the following parameters: - **x**: input ndarray. - **...args**: additional input ndarray arguments (_optional_). - **options**: function options (_optional_). The method accepts the following options: - **dims**: list of dimensions over which to perform an operation. - **dtype**: output ndarray data type. Setting this option, overrides the output data type policy. By default, the method returns an ndarray having a data type determined by the output data type policy. To override the default behavior, set the `dtype` option. ```javascript var ndarray = require( '@stdlib/ndarray-base-ctor' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var base = require( '@stdlib/stats-base-ndarray-cumax' ); var getDType = require( '@stdlib/ndarray-dtype' ); var table = { 'default': base }; var dtypes = [ 'float64', 'float32', 'generic' ]; var policies = { 'output': 'same', 'casting': 'none' }; var unary = new UnaryStrided1dDispatch( table, [ dtypes ], dtypes, policies ); var xbuf = [ -1.0, 2.0, -3.0 ]; var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); var y = unary.apply( x, { 'dtype': 'float64' }); // returns var dt = getDType( y ); // returns 'float64' ``` #### UnaryStrided1dDispatch.prototype.assign( x\[, ...args], out\[, options] ) Applies a strided function a provided input ndarray and assigns results to a provided output ndarray. ```javascript var base = require( '@stdlib/stats-base-ndarray-cumax' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var dtypes = require( '@stdlib/ndarray-dtypes' ); var ndarray = require( '@stdlib/ndarray-base-ctor' ); var idt = dtypes( 'real_and_generic' ); var odt = idt; var policies = { 'output': 'same', 'casting': 'none' }; var table = { 'default': base }; var unary = new UnaryStrided1dDispatch( table, [ idt ], odt, policies ); var xbuf = [ -1.0, 2.0, -3.0 ]; var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); var ybuf = [ 0.0, 0.0, 0.0 ]; var y = new ndarray( 'generic', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' ); var out = unary.assign( x, y ); // returns var arr = ndarray2array( y ); // returns [ -1.0, 2.0, 2.0 ] var bool = ( out === y ); // returns true ``` The method has the following parameters: - **x**: input ndarray. - **args**: additional input ndarray arguments (_optional_). - **out**: output ndarray. - **options**: function options (_optional_). The method accepts the following options: - **dims**: list of dimensions over which to perform an operation.

## Notes - A strided function should have the following signature: ```text f( arrays ) ``` where - **arrays**: array containing an input and an output ndarray, followed by any additional ndarray arguments. - The output data type policy only applies to the `apply` method. For the `assign` method, the output ndarray is allowed to have any supported output data type.

## Examples ```javascript var dcumax = require( '@stdlib/stats-base-ndarray-dcumax' ); var scumax = require( '@stdlib/stats-base-ndarray-scumax' ); var base = require( '@stdlib/stats-base-ndarray-cumax' ); var discreteUniform = require( '@stdlib/random-array-discrete-uniform' ); var dtypes = require( '@stdlib/ndarray-dtypes' ); var dtype = require( '@stdlib/ndarray-dtype' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var ndarray = require( '@stdlib/ndarray-ctor' ); var UnaryStrided1dDispatch = require( '@stdlib/ndarray-base-unary-strided1d-dispatch' ); // Define the supported input and output data types: var idt = dtypes( 'real_and_generic' ); var odt = dtypes( 'real_and_generic' ); // Define dispatch policies: var policies = { 'output': 'same', 'casting': 'none' }; // Define a dispatch table: var table = { 'types': [ 'float64', 'float64', // input, output 'float32', 'float32' // input, output ], 'fcns': [ dcumax, scumax ], 'default': base }; // Create an interface for performing a reduction: var cumax = new UnaryStrided1dDispatch( table, [ idt ], odt, policies ); // Generate an array of random numbers: var xbuf = discreteUniform( 25, -10, 10, { 'dtype': 'generic' }); // Wrap in an ndarray: var x = new ndarray( 'generic', xbuf, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' ); console.log( ndarray2array( x ) ); // Perform operation: var y = cumax.apply( x, { 'dims': [ 0 ] }); // Resolve the output array data type: var dt = dtype( y ); console.log( dt ); // Print the results: console.log( ndarray2array( y ) ); ```

* * * ## Notice This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more. For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].

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Standard library for JavaScript.

Citation (CITATION.cff)

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
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type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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