{"id":19755042,"url":"https://github.com/stdlib-js/strided-base-dmskmap","last_synced_at":"2025-04-30T11:32:08.785Z","repository":{"id":41355352,"uuid":"376829571","full_name":"stdlib-js/strided-base-dmskmap","owner":"stdlib-js","description":"Apply a unary function accepting and returning double-precision floating-point numbers to each element in a double-precision floating-point strided input array according to a corresponding element in a strided mask array and assign each result to an element in a double-precision floating-point strided output array.","archived":false,"fork":false,"pushed_at":"2024-11-01T03:28:08.000Z","size":500,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-11-11T05:57:33.873Z","etag":null,"topics":["apply","array","base","dbl","double","double-precision","float64","foreach","javascript","map","mask","masked","ndarray","node","node-js","nodejs","stdlib","strided","transform","unary"],"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":"2021-06-14T13:18:00.000Z","updated_at":"2024-11-01T01:36:11.000Z","dependencies_parsed_at":"2023-02-17T06:30:54.638Z","dependency_job_id":"92ac0a27-5084-4b68-adea-3e1845f3ab3c","html_url":"https://github.com/stdlib-js/strided-base-dmskmap","commit_stats":{"total_commits":51,"total_committers":1,"mean_commits":51.0,"dds":0.0,"last_synced_commit":"d1f7176976536308fa8768fc169cefa012fd3949"},"previous_names":[],"tags_count":28,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstrided-base-dmskmap","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstrided-base-dmskmap/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstrided-base-dmskmap/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstrided-base-dmskmap/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/strided-base-dmskmap/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224208101,"owners_count":17273674,"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":["apply","array","base","dbl","double","double-precision","float64","foreach","javascript","map","mask","masked","ndarray","node","node-js","nodejs","stdlib","strided","transform","unary"],"created_at":"2024-11-12T03:08:03.375Z","updated_at":"2025-04-30T11:32:08.755Z","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) 2020 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\u003c!-- lint disable maximum-heading-length --\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# dmskmap\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 Apply a unary function to a double-precision floating-point strided input array according to a strided mask array and assign results to a double-precision floating-point strided output array.\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/strided-base-dmskmap\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 dmskmap = require( '@stdlib/strided-base-dmskmap' );\n```\n\n#### dmskmap( N, x, strideX, mask, strideMask, y, strideY, fcn )\n\nApplies a unary function to a double-precision floating-point strided input array according to a strided mask array and assigns results to a double-precision floating-point strided output array.\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\nvar abs = require( '@stdlib/math-base-special-abs' );\n\nvar x = new Float64Array( [ -2.0, 1.0, -3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );\nvar m = new Uint8Array( [ 0, 0, 1, 0, 0, 1, 1, 0 ] );\n\n// Compute the absolute values in-place:\ndmskmap( x.length, x, 1, m, 1, x, 1, abs );\n// x =\u003e \u003cFloat64Array\u003e[ 2.0, 1.0, -3.0, 5.0, 4.0, 0.0, -1.0, 3.0 ]\n```\n\nThe function accepts the following arguments:\n\n-   **N**: number of indexed elements.\n-   **x**: input [`Float64Array`][@stdlib/array/float64].\n-   **strideX**: index increment for `x`.\n-   **mask**: mask [`Uint8Array`][@stdlib/array/uint8].\n-   **strideMask**: index increment for `mask`.\n-   **y**: output [`Float64Array`][@stdlib/array/float64].\n-   **strideY**: index increment for `y`.\n-   **fcn**: function to apply.\n\nThe `N` and `stride` parameters determine which elements in the strided arrays are accessed at runtime. For example, to index every other value in `x` and to index the first `N` elements of `y` in reverse order,\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\nvar abs = require( '@stdlib/math-base-special-abs' );\n\nvar x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );\nvar m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );\n\ndmskmap( 3, x, 2, m, 2, y, -1, abs );\n// y =\u003e \u003cFloat64Array\u003e[ 5.0, 0.0, 1.0, 0.0, 0.0, 0.0 ]\n```\n\nNote that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/float64] views.\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\nvar abs = require( '@stdlib/math-base-special-abs' );\n\n// Initial arrays...\nvar x0 = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );\nvar m0 = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );\nvar y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );\n\n// Create offset views...\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\nvar m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*3 ); // start at 4th element\nvar y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element\n\ndmskmap( 3, x1, -2, m1, 1, y1, 1, abs );\n// y0 =\u003e \u003cFloat64Array\u003e[ 0.0, 0.0, 0.0, 6.0, 4.0, 0.0 ]\n```\n\n#### dmskmap.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask, y, strideY, offsetY, fcn )\n\nApplies a unary function to a double-precision floating-point strided input array according to a strided mask array and assigns results to a double-precision floating-point strided output array using alternative indexing semantics.\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\nvar abs = require( '@stdlib/math-base-special-abs' );\n\nvar x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0 ] );\nvar m = new Uint8Array( [ 0, 0, 1, 0, 0 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );\n\ndmskmap.ndarray( x.length, x, 1, 0, m, 1, 0, y, 1, 0, abs );\n// y =\u003e \u003cFloat64Array\u003e[ 1.0, 2.0, 0.0, 4.0, 5.0 ]\n```\n\nThe function accepts the following additional arguments:\n\n-   **offsetX**: starting index for `x`.\n-   **offsetMask**: starting index for `mask`.\n-   **offsetY**: starting index for `y`.\n\nWhile [`typed array`][@stdlib/array/float64] views mandate a view offset based on the underlying `buffer`, the `offsetX` and `offsetY` parameters support indexing semantics based on starting indices. For example, to index every other value in `x` starting from the second value and to index the last `N` elements in `y` in reverse order,\n\n```javascript\nvar Float64Array = require( '@stdlib/array-float64' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\nvar abs = require( '@stdlib/math-base-special-abs' );\n\nvar x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );\nvar m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] );\nvar y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );\n\ndmskmap.ndarray( 3, x, 2, 1, m, 2, 1, y, -1, y.length-1, abs );\n// y =\u003e \u003cFloat64Array\u003e[ 0.0, 0.0, 0.0, 0.0, 4.0, 2.0 ]\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 round = require( '@stdlib/math-base-special-round' );\nvar randu = require( '@stdlib/random-base-randu' );\nvar bernoulli = require( '@stdlib/random-base-bernoulli' );\nvar Float64Array = require( '@stdlib/array-float64' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\nvar dmskmap = require( '@stdlib/strided-base-dmskmap' );\n\nfunction scale( x ) {\n    return x * 10.0;\n}\n\nvar x = new Float64Array( 10 );\nvar m = new Uint8Array( x.length );\nvar y = new Float64Array( x.length );\n\nvar i;\nfor ( i = 0; i \u003c x.length; i++ ) {\n    x[ i ] = round( (randu()*200.0) - 100.0 );\n    m[ i ] = bernoulli( 0.2 );\n}\nconsole.log( x );\nconsole.log( m );\nconsole.log( y );\n\ndmskmap.ndarray( x.length, x, 1, 0, m, 1, 0, y, -1, y.length-1, scale );\nconsole.log( y );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- C interface documentation. --\u003e\n\n* * *\n\n\u003csection class=\"c\"\u003e\n\n## C APIs\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!-- C usage documentation. --\u003e\n\n\u003csection class=\"usage\"\u003e\n\n### Usage\n\n```c\n#include \"stdlib/strided/base/dmskmap.h\"\n```\n\n#### stdlib_strided_dmskmap( N, \\*X, strideX, \\*Mask, strideMask, \\*Y, strideY, fcn )\n\nApplies a unary function to a double-precision floating-point strided input array according to a strided mask array and assigns results to a double-precision floating-point strided output array.\n\n```c\n#include \u003cstdint.h\u003e\n\nstatic double scale( const double x ) {\n    return x * 10.0;\n}\n\ndouble X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };\nuint8_t M[] = { 0, 0, 1, 0, 0, 1 };\ndouble Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };\n\nint64_t N = 6;\n\nstdlib_strided_dmskmap( N, X, 1, M, 1, Y, 1, scale );\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] int64_t` number of indexed elements.\n-   **X**: `[in] double*` input array.\n-   **strideX** `[in] int64_t` index increment for `X`.\n-   **Mask**: `[in] uint8_t*` mask array.\n-   **strideMask**: `[in] int64_t` index increment for `Mask`.\n-   **Y**: `[out] double*` output array.\n-   **strideY**: `[in] int64_t` index increment for `Y`.\n-   **fcn**: `[in] double (*fcn)( double )` unary function to apply.\n\n```c\nvoid stdlib_strided_dmskmap( const int64_t N, const double *X, const int64_t strideX, const uint8_t *Mask, const int64_t strideMask, double *Y, const int64_t strideY, double (*fcn)( double ) );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- C API 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\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- C API usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n### Examples\n\n```c\n#include \"stdlib/strided/base/dmskmap.h\"\n#include \u003cstdint.h\u003e\n#include \u003cstdio.h\u003e\n#include \u003cinttypes.h\u003e\n\n// Define a callback:\nstatic double scale( const double x ) {\n    return x * 10.0;\n}\n\nint main( void ) {\n    // Create an input strided array:\n    double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };\n\n    // Create a mask strided array:\n    uint8_t M[] = { 0, 0, 1, 0, 0, 1 };\n\n    // Create an output strided array:\n    double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };\n\n    // Specify the number of elements:\n    int64_t N = 6;\n\n    // Define the strides:\n    int64_t strideX = 1;\n    int64_t strideM = 1;\n    int64_t strideY = -1;\n\n    // Apply the callback:\n    stdlib_strided_dmskmap( N, X, strideX, M, strideM, Y, strideY, scale );\n\n    // Print the results:\n    for ( int64_t i = 0; i \u003c N; i++ ) {\n        printf( \"Y[ %\"PRId64\" ] = %lf\\n\", i, Y[ i ] );\n    }\n}\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.c --\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/strided-base/dmap`][@stdlib/strided/base/dmap]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eapply a unary function to a double-precision floating-point strided input array and assign results to a double-precision floating-point strided output array.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/strided-base/dmskmap2`][@stdlib/strided/base/dmskmap2]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eapply a binary function to double-precision floating-point strided input arrays according to a strided mask array and assign results to a double-precision floating-point strided output array.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/strided-base/mskunary`][@stdlib/strided/base/mskunary]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eapply a unary callback to elements in a strided input array according to elements in a strided mask array and assign results to elements in a strided output array.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/strided-base/smskmap`][@stdlib/strided/base/smskmap]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003eapply a unary function to a single-precision floating-point strided input array according to a strided mask array and assign results to a single-precision floating-point strided output array.\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/strided-base-dmskmap.svg\n[npm-url]: https://npmjs.org/package/@stdlib/strided-base-dmskmap\n\n[test-image]: https://github.com/stdlib-js/strided-base-dmskmap/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/strided-base-dmskmap/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/strided-base-dmskmap/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/strided-base-dmskmap?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/strided-base-dmskmap.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/strided-base-dmskmap/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/strided-base-dmskmap/tree/deno\n[deno-readme]: https://github.com/stdlib-js/strided-base-dmskmap/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/strided-base-dmskmap/tree/umd\n[umd-readme]: https://github.com/stdlib-js/strided-base-dmskmap/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/strided-base-dmskmap/tree/esm\n[esm-readme]: https://github.com/stdlib-js/strided-base-dmskmap/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/strided-base-dmskmap/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/strided-base-dmskmap/main/LICENSE\n\n[@stdlib/array/float64]: https://github.com/stdlib-js/array-float64\n\n[@stdlib/array/uint8]: https://github.com/stdlib-js/array-uint8\n\n\u003c!-- \u003crelated-links\u003e --\u003e\n\n[@stdlib/strided/base/dmap]: https://github.com/stdlib-js/strided-base-dmap\n\n[@stdlib/strided/base/dmskmap2]: https://github.com/stdlib-js/strided-base-dmskmap2\n\n[@stdlib/strided/base/mskunary]: https://github.com/stdlib-js/strided-base-mskunary\n\n[@stdlib/strided/base/smskmap]: https://github.com/stdlib-js/strided-base-smskmap\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%2Fstrided-base-dmskmap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fstrided-base-dmskmap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstrided-base-dmskmap/lists"}