{"id":15011299,"url":"https://github.com/stdlib-js/ndarray-slice-assign","last_synced_at":"2025-04-11T08:54:22.698Z","repository":{"id":197388126,"uuid":"698567871","full_name":"stdlib-js/ndarray-slice-assign","owner":"stdlib-js","description":"Assign element values from a broadcasted input ndarray to corresponding elements in an output ndarray view.","archived":false,"fork":false,"pushed_at":"2025-04-07T01:19:07.000Z","size":2808,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-07T01:31:58.913Z","etag":null,"topics":["assign","assignment","copy","data","javascript","matrix","ndarray","node","node-js","nodejs","set","setitem","slice","stdlib","structure","types","vector","view"],"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},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2023-09-30T09:54:20.000Z","updated_at":"2025-04-07T00:56:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"84583a91-ba6c-4b09-a401-d6fc9c957634","html_url":"https://github.com/stdlib-js/ndarray-slice-assign","commit_stats":{"total_commits":16,"total_committers":1,"mean_commits":16.0,"dds":0.0,"last_synced_commit":"57f557845c8f0a39d87a1b1dcbae807a26c7ed32"},"previous_names":["stdlib-js/ndarray-slice-assign"],"tags_count":12,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-slice-assign","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-slice-assign/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-slice-assign/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fndarray-slice-assign/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/ndarray-slice-assign/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247578579,"owners_count":20961268,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["assign","assignment","copy","data","javascript","matrix","ndarray","node","node-js","nodejs","set","setitem","slice","stdlib","structure","types","vector","view"],"created_at":"2024-09-24T19:40:31.636Z","updated_at":"2025-04-11T08:54:22.683Z","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) 2023 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# sliceAssign\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 Assign element values from a broadcasted input [`ndarray`][@stdlib/ndarray/ctor] to corresponding elements in an output [`ndarray`][@stdlib/ndarray/ctor] view.\n\n\u003c!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003c!-- Package usage documentation. --\u003e\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/ndarray-slice-assign\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 sliceAssign = require( '@stdlib/ndarray-slice-assign' );\n```\n\n#### sliceAssign( x, y, ...s\\[, options] )\n\nAssigns element values from a broadcasted input [`ndarray`][@stdlib/ndarray/ctor] to corresponding elements in an output [`ndarray`][@stdlib/ndarray/ctor] view.\n\n```javascript\nvar Slice = require( '@stdlib/slice-ctor' );\nvar MultiSlice = require( '@stdlib/slice-multi' );\nvar ndarray = require( '@stdlib/ndarray-ctor' );\nvar ndzeros = require( '@stdlib/ndarray-zeros' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\n\n// Define an input array:\nvar buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];\nvar shape = [ 3, 2 ];\nvar strides = [ 2, 1 ];\nvar offset = 0;\n\nvar x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );\n// returns \u003cndarray\u003e\n\nvar sh = x.shape;\n// returns [ 3, 2 ]\n\nvar arr = ndarray2array( x );\n// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]\n\n// Define an output array:\nvar y = ndzeros( [ 2, 3, 2 ], {\n    'dtype': x.dtype\n});\n\n// Create a slice:\nvar s0 = null;\nvar s1 = new Slice( null, null, -1 );\nvar s2 = new Slice( null, null, -1 );\nvar s = new MultiSlice( s0, s1, s2 );\n// returns \u003cMultiSlice\u003e\n\n// Perform assignment:\nvar out = sliceAssign( x, y, s );\n// returns \u003cndarray\u003e\n\nvar bool = ( out === y );\n// returns true\n\narr = ndarray2array( y );\n// returns [ [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ], [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ] ]\n```\n\nThe function accepts the following arguments:\n\n-   **x**: input [`ndarray`][@stdlib/ndarray/ctor].\n-   **y**: output [`ndarray`][@stdlib/ndarray/ctor].\n-   **s**: a [`MultiSlice`][@stdlib/slice/multi] instance, an array of slice arguments, or slice arguments as separate arguments.\n-   **options**: function options.\n\nThe function supports three (mutually exclusive) means for providing slice arguments:\n\n1.  providing a single [`MultiSlice`][@stdlib/slice/multi] instance.\n2.  providing a single array of slice arguments.\n3.  providing slice arguments as separate arguments.\n\nThe following example demonstrates each invocation style achieving equivalent results.\n\n```javascript\nvar Slice = require( '@stdlib/slice-ctor' );\nvar MultiSlice = require( '@stdlib/slice-multi' );\nvar scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );\nvar ndzeros = require( '@stdlib/ndarray-zeros' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\n\n// 1. Using a MultiSlice:\nvar x = scalar2ndarray( 10.0 );\nvar y = ndzeros( [ 2, 3 ] );\n\nvar s0 = 0;\nvar s1 = new Slice( 1, null, 1 );\nvar s = new MultiSlice( s0, s1 );\n// returns \u003cMultiSlice\u003e\n\nvar out = sliceAssign( x, y, s );\n// returns \u003cndarray\u003e\n\nvar arr = ndarray2array( out );\n// returns [ [ 0.0, 10.0, 10.0 ], [ 0.0, 0.0, 0.0 ] ]\n\n// 2. Using an array of slice arguments:\nx = scalar2ndarray( 10.0 );\ny = ndzeros( [ 2, 3 ] );\n\nout = sliceAssign( x, y, [ s0, s1 ] );\n// returns \u003cndarray\u003e\n\narr = ndarray2array( out );\n// returns [ [ 0.0, 10.0, 10.0 ], [ 0.0, 0.0, 0.0 ] ]\n\n// 3. Providing separate arguments:\nx = scalar2ndarray( 10.0 );\ny = ndzeros( [ 2, 3 ] );\n\nout = sliceAssign( x, y, s0, s1 );\n// returns \u003cndarray\u003e\n\narr = ndarray2array( out );\n// returns [ [ 0.0, 10.0, 10.0 ], [ 0.0, 0.0, 0.0 ] ]\n```\n\nThe function supports the following `options`:\n\n-   **strict**: boolean indicating whether to enforce strict bounds checking.\n\nBy default, the function throws an error when provided a slice which exceeds array bounds. To ignore slice indices exceeding array bounds, set the `strict` option to `false`.\n\n```javascript\nvar Slice = require( '@stdlib/slice-ctor' );\nvar MultiSlice = require( '@stdlib/slice-multi' );\nvar scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );\nvar ndzeros = require( '@stdlib/ndarray-zeros' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\n\n// Define an input array:\nvar x = scalar2ndarray( 10.0 );\n\n// Define an output array:\nvar y = ndzeros( [ 3, 2 ], {\n    'dtype': x.dtype\n});\n\n// Create a slice:\nvar s0 = new Slice( 1, null, 1 );\nvar s1 = new Slice( 10, 20, 1 );\nvar s = new MultiSlice( s0, s1 );\n// returns \u003cMultiSlice\u003e\n\n// Perform assignment:\nvar out = sliceAssign( x, y, s, {\n    'strict': false\n});\n// returns \u003cndarray\u003e\n\nvar arr = ndarray2array( y );\n// returns [ [ 0.0, 0.0 ], [ 0.0, 0.0 ], [ 0.0, 0.0 ] ]\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n## Notes\n\n-   An output [`ndarray`][@stdlib/ndarray/ctor] **must** be writable. If provided a **read-only** [`ndarray`][@stdlib/ndarray/ctor], the function throws an error.\n-   A **slice argument** must be either a [`Slice`][@stdlib/slice/ctor], an integer, `null`, or `undefined`.\n-   The number of slice dimensions must match the number of output array dimensions. Hence, if `y` is a zero-dimensional [`ndarray`][@stdlib/ndarray/ctor], then, if `s` is a [`MultiSlice`][@stdlib/slice/multi], `s` should be empty, and, if `s` is an array, `s` should not contain any slice arguments. Similarly, if `y` is a one-dimensional [`ndarray`][@stdlib/ndarray/ctor], then, if `s` is a [`MultiSlice`][@stdlib/slice/multi], `s` should have one slice dimension, and, if `s` is an array, `s` should contain a single slice argument. And so on and so forth.\n-   The input [`ndarray`][@stdlib/ndarray/ctor] **must** be [broadcast compatible][@stdlib/ndarray/base/broadcast-shapes] with the output [`ndarray`][@stdlib/ndarray/ctor] view.\n-   The input [`ndarray`][@stdlib/ndarray/ctor] must have a [data type][@stdlib/ndarray/dtypes] which can be [safely cast][@stdlib/ndarray/safe-casts] to the output [`ndarray`][@stdlib/ndarray/ctor] data type. Floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the [same kind][@stdlib/ndarray/same-kind-casts] (e.g., element values from a `'float64'` input [`ndarray`][@stdlib/ndarray/ctor] can be assigned to corresponding elements in a `'float32'` output [`ndarray`][@stdlib/ndarray/ctor]).\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- Package usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n\u003c!-- eslint-disable new-cap --\u003e\n\n```javascript\nvar E = require( '@stdlib/slice-multi' );\nvar scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );\nvar ndarray2array = require( '@stdlib/ndarray-to-array' );\nvar ndzeros = require( '@stdlib/ndarray-zeros' );\nvar slice = require( '@stdlib/ndarray-slice' );\nvar sliceAssign = require( '@stdlib/ndarray-slice-assign' );\n\n// Alias `null` to allow for more compact indexing expressions:\nvar _ = null;\n\n// Create an output ndarray:\nvar y = ndzeros( [ 3, 3, 3 ] );\n\n// Update each matrix...\nvar s1 = E( 0, _, _ );\nsliceAssign( scalar2ndarray( 100 ), y, s1 );\n\nvar a1 = ndarray2array( slice( y, s1 ) );\n// returns [ [ 100, 100, 100 ], [ 100, 100, 100 ], [ 100, 100, 100 ] ]\n\nvar s2 = E( 1, _, _ );\nsliceAssign( scalar2ndarray( 200 ), y, s2 );\n\nvar a2 = ndarray2array( slice( y, s2 ) );\n// returns [ [ 200, 200, 200 ], [ 200, 200, 200 ], [ 200, 200, 200 ] ]\n\nvar s3 = E( 2, _, _ );\nsliceAssign( scalar2ndarray( 300 ), y, s3 );\n\nvar a3 = ndarray2array( slice( y, s3 ) );\n// returns [ [ 300, 300, 300 ], [ 300, 300, 300 ], [ 300, 300, 300 ] ]\n\n// Update the second rows in each matrix:\nvar s4 = E( _, 1, _ );\nsliceAssign( scalar2ndarray( 400 ), y, s4 );\n\nvar a4 = ndarray2array( slice( y, s4 ) );\n// returns [ [ 400, 400, 400 ], [ 400, 400, 400 ], [ 400, 400, 400 ] ]\n\n// Update the second columns in each matrix:\nvar s5 = E( _, _, 1 );\nsliceAssign( scalar2ndarray( 500 ), y, s5 );\n\nvar a5 = ndarray2array( slice( y, s5 ) );\n// returns [ [ 500, 500, 500 ], [ 500, 500, 500 ], [ 500, 500, 500 ] ]\n\n// Return the contents of the entire ndarray:\nvar a6 = ndarray2array( y );\n/* returns\n  [\n    [\n      [ 100, 500, 100 ],\n      [ 400, 500, 400 ],\n      [ 100, 500, 100 ]\n    ],\n    [\n      [ 200, 500, 200 ],\n      [ 400, 500, 400 ],\n      [ 200, 500, 200 ]\n    ],\n    [\n      [ 300, 500, 300 ],\n      [ 400, 500, 400 ],\n      [ 300, 500, 300 ]\n    ]\n  ]\n*/\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"references\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.references --\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* * *\n\n## See Also\n\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/ndarray-array`][@stdlib/ndarray/array]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003emultidimensional arrays.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/ndarray-ctor`][@stdlib/ndarray/ctor]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003emultidimensional array constructor.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/ndarray-slice`][@stdlib/ndarray/slice]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ereturn a read-only view of an input ndarray.\u003c/span\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.related --\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\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; 2016-2025. 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-slice-assign.svg\n[npm-url]: https://npmjs.org/package/@stdlib/ndarray-slice-assign\n\n[test-image]: https://github.com/stdlib-js/ndarray-slice-assign/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/ndarray-slice-assign/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/ndarray-slice-assign/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/ndarray-slice-assign?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/ndarray-slice-assign.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/ndarray-slice-assign/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg\n[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im\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-slice-assign/tree/deno\n[deno-readme]: https://github.com/stdlib-js/ndarray-slice-assign/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/ndarray-slice-assign/tree/umd\n[umd-readme]: https://github.com/stdlib-js/ndarray-slice-assign/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/ndarray-slice-assign/tree/esm\n[esm-readme]: https://github.com/stdlib-js/ndarray-slice-assign/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/ndarray-slice-assign/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/ndarray-slice-assign/main/LICENSE\n\n[@stdlib/slice/ctor]: https://github.com/stdlib-js/slice-ctor\n\n[@stdlib/slice/multi]: https://github.com/stdlib-js/slice-multi\n\n[@stdlib/ndarray/base/broadcast-shapes]: https://github.com/stdlib-js/ndarray-base-broadcast-shapes\n\n[@stdlib/ndarray/safe-casts]: https://github.com/stdlib-js/ndarray-safe-casts\n\n[@stdlib/ndarray/same-kind-casts]: https://github.com/stdlib-js/ndarray-same-kind-casts\n\n[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/ndarray-dtypes\n\n[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray-ctor\n\n\u003c!-- \u003crelated-links\u003e --\u003e\n\n[@stdlib/ndarray/array]: https://github.com/stdlib-js/ndarray-array\n\n[@stdlib/ndarray/slice]: https://github.com/stdlib-js/ndarray-slice\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-slice-assign","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fndarray-slice-assign","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fndarray-slice-assign/lists"}