ndarray-iter-stacks

Create an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions.

https://github.com/stdlib-js/ndarray-iter-stacks

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iter iterate iteration iterator javascript matrix multidimensional ndarray node node-js nodejs stack stdlib subarray tensor util utilities utility utils
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Create an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions.

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iter iterate iteration iterator javascript matrix multidimensional ndarray node node-js nodejs stack stdlib subarray tensor util utilities utility utils
Created over 1 year ago · Last pushed 7 months ago
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README.md

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nditerStacks

NPM version Build Status Coverage Status <!-- dependencies -->

Create an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions.

## Installation ```bash npm install @stdlib/ndarray-iter-stacks ``` 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 nditerStacks = require( '@stdlib/ndarray-iter-stacks' ); ``` #### nditerStacks( x, dims\[, options] ) Returns an iterator which iterates over each subarray in a stack of subarrays according to a list of specified stack dimensions. ```javascript var array = require( '@stdlib/ndarray-array' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var x = array( [ [ [ 1, 2 ], [ 3, 4 ] ], [ [ 5, 6 ], [ 7, 8 ] ] ] ); // returns var iter = nditerStacks( x, [ 1, 2 ] ); var v = iter.next().value; // returns var arr = ndarray2array( v ); // returns [ [ 1, 2 ], [ 3, 4 ] ] v = iter.next().value; // returns arr = ndarray2array( v ); // returns [ [ 5, 6 ], [ 7, 8 ] ] // ... ``` The function accepts the following `options`: - **readonly**: boolean indicating whether returned [`ndarray`][@stdlib/ndarray/ctor] views should be read-only. In order to return writable [`ndarray`][@stdlib/ndarray/ctor] views, the input [`ndarray`][@stdlib/ndarray/ctor] must be writable. If the input [`ndarray`][@stdlib/ndarray/ctor] is read-only, setting this option to `false` raises an exception. Default: `true`. By default, the iterator returns [`ndarray`][@stdlib/ndarray/ctor] views which are **read-only**. To return writable [views][@stdlib/ndarray/slice], set the `readonly` option to `false`. ```javascript var array = require( '@stdlib/ndarray-array' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var x = array( [ [ [ 1, 2 ], [ 3, 4 ] ], [ [ 5, 6 ], [ 7, 8 ] ] ] ); // returns var iter = nditerStacks( x, [ 1, 2 ], { 'readonly': false }); var v = iter.next().value; // returns var arr = ndarray2array( v ); // returns [ [ 1, 2 ], [ 3, 4 ] ] v.set( 0, 0, 10 ); arr = ndarray2array( v ); // returns [ [ 10, 2 ], [ 3, 4 ] ] ``` The returned [iterator][mdn-iterator-protocol] protocol-compliant object has the following properties: - **next**: function which returns an [iterator][mdn-iterator-protocol] protocol-compliant object containing the next iterated value (if one exists) assigned to a `value` property and a `done` property having a `boolean` value indicating whether the [iterator][mdn-iterator-protocol] is finished. - **return**: function which closes an [iterator][mdn-iterator-protocol] and returns a single (optional) argument in an [iterator][mdn-iterator-protocol] protocol-compliant object.
## Notes - The input [`ndarray`][@stdlib/ndarray/ctor] must have at least `dims.length+1` dimensions. - The list of provided index dimensions must be unique and resolve to index dimensions sorted in ascending order (i.e., the function does **not** allow rearranging [`ndarray`][@stdlib/ndarray/ctor] dimensions by specifying an arbitrary index order). - If an environment supports `Symbol.iterator`, the returned iterator is iterable. - A returned iterator does **not** copy a provided [`ndarray`][@stdlib/ndarray/ctor]. To ensure iterable reproducibility, copy the input [`ndarray`][@stdlib/ndarray/ctor] **before** creating an iterator. Otherwise, any changes to the contents of input [`ndarray`][@stdlib/ndarray/ctor] will be reflected in the returned iterator. - In environments supporting `Symbol.iterator`, the function **explicitly** does **not** invoke an ndarray's `@@iterator` method, regardless of whether this method is defined.
## Examples ```javascript var array = require( '@stdlib/ndarray-array' ); var zeroTo = require( '@stdlib/array-base-zero-to' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var nditerStacks = require( '@stdlib/ndarray-iter-stacks' ); // Define an input array: var x = array( zeroTo( 27 ), { 'shape': [ 3, 3, 3 ] }); // Create an iterator for iterating over matrices: var it = nditerStacks( x, [ 1, 2 ] ); // Perform manual iteration... var v; while ( true ) { v = it.next(); if ( v.done ) { break; } console.log( ndarray2array( v.value ) ); } // Create an iterator for iterating over matrices: it = nditerStacks( x, [ 0, 2 ] ); // Perform manual iteration... while ( true ) { v = it.next(); if ( v.done ) { break; } console.log( ndarray2array( v.value ) ); } // Create an iterator for iterating over matrices: it = nditerStacks( x, [ 0, 1 ] ); // Perform manual iteration... while ( true ) { v = it.next(); if ( v.done ) { break; } console.log( ndarray2array( v.value ) ); } ```
* * * ## 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
  metadata from this file.

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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