{"id":26847633,"url":"https://github.com/stdlib-js/ndarray-every","last_synced_at":"2026-04-16T17:43:11.820Z","repository":{"id":285219013,"uuid":"957427059","full_name":"stdlib-js/ndarray-every","owner":"stdlib-js","description":"Test whether every element along one or more ndarray dimensions is truthy.","archived":false,"fork":false,"pushed_at":"2026-04-09T03:29:40.000Z","size":2677,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2026-04-09T05:25:04.056Z","etag":null,"topics":["all","array","every","javascript","ndarray","node","node-js","nodejs","reduce","reduction","stdlib","strided","truthy","utility","utils"],"latest_commit_sha":null,"homepage":"https://github.com/stdlib-js/stdlib","language":"JavaScript","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/stdlib-js.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":"NOTICE","maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2025-03-30T10:51:41.000Z","updated_at":"2026-04-09T03:17:45.000Z","dependencies_parsed_at":"2025-04-18T11:38:04.184Z","dependency_job_id":"c22c9ff1-7665-4cba-8bd6-73809aa2a979","html_url":"https://github.com/stdlib-js/ndarray-every","commit_stats":null,"previous_names":["stdlib-js/ndarray-every"],"tags_count":8,"template":false,"template_full_name":null,"purl":"pkg:github/stdlib-js/ndarray-every","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-every","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-every/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-every/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-every/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/ndarray-every/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-every/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31897868,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T17:33:00.867Z","status":"ssl_error","status_checked_at":"2026-04-16T17:32:57.401Z","response_time":69,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["all","array","every","javascript","ndarray","node","node-js","nodejs","reduce","reduction","stdlib","strided","truthy","utility","utils"],"created_at":"2025-03-30T20:22:33.228Z","updated_at":"2026-04-16T17:43:11.815Z","avatar_url":"https://github.com/stdlib-js.png","language":"JavaScript","funding_links":["https://github.com/sponsors/stdlib-js","https://opencollective.com/stdlib","https://tidelift.com/funding/github/npm/@stdlib/stdlib"],"categories":[],"sub_categories":[],"readme":"\u003c!--\n\n@license Apache-2.0\n\nCopyright (c) 2025 The Stdlib Authors.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n--\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary\u003e\n    About stdlib...\n  \u003c/summary\u003e\n  \u003cp\u003eWe 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.\u003c/p\u003e\n  \u003cp\u003eThe library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.\u003c/p\u003e\n  \u003cp\u003eWhen you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.\u003c/p\u003e\n  \u003cp\u003eTo join us in bringing numerical computing to the web, get started by checking us out on \u003ca href=\"https://github.com/stdlib-js/stdlib\"\u003eGitHub\u003c/a\u003e, and please consider \u003ca href=\"https://opencollective.com/stdlib\"\u003efinancially supporting stdlib\u003c/a\u003e. We greatly appreciate your continued support!\u003c/p\u003e\n\u003c/details\u003e\n\n# every\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] \u003c!-- [![dependencies][dependencies-image]][dependencies-url] --\u003e\n\n\u003e Test whether every element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy.\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/ndarray-every\n```\n\nAlternatively,\n\n-   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]).\n-   If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).\n-   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]).\n\nThe [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.\n\nTo 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.\n\n\u003c/section\u003e\n\n\u003csection class=\"usage\"\u003e\n\n## Usage\n\n```javascript\nvar every = require( '@stdlib/ndarray-every' );\n```\n\n#### every( x\\[, options] )\n\nTests whether every element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy.\n\n```javascript\nvar array = require( '@stdlib/ndarray-array' );\n\n// Create an input ndarray:\nvar x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );\n// returns \u003cndarray\u003e\n\n// Perform reduction:\nvar out = every( x );\n// returns \u003cndarray\u003e\n\nvar v = out.get();\n// returns true\n```\n\nThe function accepts the following arguments:\n\n-   **x**: input [`ndarray`][@stdlib/ndarray/ctor].\n-   **options**: function options (_optional_).\n\nThe function accepts the following `options`:\n\n-   **dims**: list of dimensions over which to perform a reduction.\n-   **keepdims**: boolean indicating whether the reduced dimensions should be included in the returned [`ndarray`][@stdlib/ndarray/ctor] as singleton dimensions. Default: `false`.\n\nBy default, the function performs a reduction over all elements in a provided [`ndarray`][@stdlib/ndarray/ctor]. To reduce specific dimensions, set the `dims` option.\n\n```javascript\nvar array = require( '@stdlib/ndarray-array' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\n\n// Create an input ndarray:\nvar x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );\n// returns \u003cndarray\u003e\n\n// Perform reduction:\nvar out = every( x, {\n    'dims': [ 1, 2 ]\n});\n// returns \u003cndarray\u003e\n\nvar v = ndarray2array( out );\n// returns [ true, true, true ]\n```\n\nBy default, the function returns an [`ndarray`][@stdlib/ndarray/ctor] having a shape matching only the non-reduced dimensions of the input [`ndarray`][@stdlib/ndarray/ctor] (i.e., the reduced dimensions are dropped). To include the reduced dimensions as singleton dimensions in the output [`ndarray`][@stdlib/ndarray/ctor], set the `keepdims` option to `true`.\n\n```javascript\nvar array = require( '@stdlib/ndarray-array' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\n\n// Create an input ndarray:\nvar x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );\n// returns \u003cndarray\u003e\n\n// Perform reduction:\nvar out = every( x, {\n    'dims': [ 1, 2 ],\n    'keepdims': true\n});\n// returns \u003cndarray\u003e\n\nvar v = ndarray2array( out );\n// returns [ [ [ true ] ], [ [ true ] ], [ [ true ] ] ]\n```\n\n#### every.assign( x, out\\[, options] )\n\nTests whether every element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy and assigns results to a provided output [`ndarray`][@stdlib/ndarray/ctor].\n\n```javascript\nvar array = require( '@stdlib/ndarray-array' );\nvar empty = require( '@stdlib/ndarray-empty' );\n\n// Create an input ndarray:\nvar x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );\n// returns \u003cndarray\u003e\n\n// Create an output ndarray:\nvar y = empty( [], {\n    'dtype': 'bool'\n});\n\n// Perform reduction:\nvar out = every.assign( x, y );\n// returns \u003cndarray\u003e\n\nvar bool = ( out === y );\n// returns true\n\nvar v = y.get();\n// returns true\n```\n\nThe function accepts the following arguments:\n\n-   **x**: input [`ndarray`][@stdlib/ndarray/ctor].\n-   **out**: output [`ndarray`][@stdlib/ndarray/ctor]. The output [`ndarray`][@stdlib/ndarray/ctor] must have a shape matching the non-reduced dimensions of the input [`ndarray`][@stdlib/ndarray/ctor].\n-   **options**: function options (_optional_).\n\nThe function accepts the following `options`:\n\n-   **dims**: list of dimensions over which to perform a reduction.\n\nBy default, the function performs a reduction over all elements in a provided [`ndarray`][@stdlib/ndarray/ctor]. To reduce specific dimensions, set the `dims` option.\n\n```javascript\nvar array = require( '@stdlib/ndarray-array' );\nvar empty = require( '@stdlib/ndarray-empty' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\n\n// Create an input ndarray:\nvar x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 5.0, 6.0 ] ] ] );\n// returns \u003cndarray\u003e\n\n// Create an output ndarray:\nvar y = empty( [ 3 ], {\n    'dtype': 'bool'\n});\n\n// Perform reduction:\nvar out = every.assign( x, y, {\n    'dims': [ 1, 2 ]\n});\n\nvar bool = ( out === y );\n// returns true\n\nvar v = ndarray2array( y );\n// returns [ true, true, true ]\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar bernoulli = require( '@stdlib/random-base-bernoulli' ).factory;\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\nvar fillBy = require( '@stdlib/ndarray-fill-by' );\nvar zeros = require( '@stdlib/ndarray-zeros' );\nvar every = require( '@stdlib/ndarray-every' );\n\nvar x = zeros( [ 2, 4, 5 ], {\n    'dtype': 'float64'\n});\nx = fillBy( x, bernoulli( 0.90 ) );\nconsole.log( ndarray2array( x ) );\n\nvar y = every( x );\nconsole.log( 'every(x[:,:,:]) =' );\nconsole.log( y.get() );\n\ny = every( x, {\n    'dims': [ 0 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[:,j,k]) =' );\nconsole.log( ndarray2array( y ) );\n\ny = every( x, {\n    'dims': [ 1 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[i,:,k]) =' );\nconsole.log( ndarray2array( y ) );\n\ny = every( x, {\n    'dims': [ 2 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[i,j,:]) =' );\nconsole.log( ndarray2array( y ) );\n\ny = every( x, {\n    'dims': [ 0, 1 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[:,:,k]) =' );\nconsole.log( ndarray2array( y ) );\n\ny = every( x, {\n    'dims': [ 0, 2 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[:,j,:]) =' );\nconsole.log( ndarray2array( y ) );\n\ny = every( x, {\n    'dims': [ 1, 2 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[i,:,:]) =' );\nconsole.log( ndarray2array( y ) );\n\ny = every( x, {\n    'dims': [ 0, 1, 2 ],\n    'keepdims': true\n});\nconsole.log( 'every(x[:,:,:]) =' );\nconsole.log( ndarray2array( y ) );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --\u003e\n\n\u003csection class=\"related\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.related --\u003e\n\n\n\u003csection class=\"main-repo\" \u003e\n\n* * *\n\n## Notice\n\nThis 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.\n\nFor 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].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright \u0026copy; 2016-2026. The Stdlib [Authors][stdlib-authors].\n\n\u003c/section\u003e\n\n\u003c!-- /.stdlib --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"links\"\u003e\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/ndarray-every.svg\n[npm-url]: https://npmjs.org/package/@stdlib/ndarray-every\n\n[test-image]: https://github.com/stdlib-js/ndarray-every/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/ndarray-every/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/ndarray-every/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/ndarray-every?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/ndarray-every.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/ndarray-every/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg\n[chat-url]: https://stdlib.zulipchat.com\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/ndarray-every/tree/deno\n[deno-readme]: https://github.com/stdlib-js/ndarray-every/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/ndarray-every/tree/umd\n[umd-readme]: https://github.com/stdlib-js/ndarray-every/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/ndarray-every/tree/esm\n[esm-readme]: https://github.com/stdlib-js/ndarray-every/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/ndarray-every/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/ndarray-every/main/LICENSE\n\n[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray-ctor\n\n\u003c!-- \u003crelated-links\u003e --\u003e\n\n\u003c!-- \u003c/related-links\u003e --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.links --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fndarray-every","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fndarray-every","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fndarray-every/lists"}