@stdlib/strided-base-dmskmap2

Apply 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.

https://github.com/stdlib-js/strided-base-dmskmap2

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Committers with academic emails
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (15.0%) to scientific vocabulary

Keywords

apply array base binary dbl double double-precision float64 foreach javascript map mask masked ndarray node node-js nodejs stdlib strided transform

Last synced: 4 months ago · JSON representation ·

Repository

Apply 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.

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 398 KB

Statistics

Stars: 2
Watchers: 3
Forks: 0
Open Issues: 0
Releases: 0

Topics

apply array base binary dbl double double-precision float64 foreach javascript map mask masked ndarray node node-js nodejs stdlib strided transform

Created about 4 years ago · Last pushed about 1 year ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Security

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.

The 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.

When 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.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

dmskmap2

Apply 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.

## Installation ```bash npm install @stdlib/strided-base-dmskmap2 ``` 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 dmskmap2 = require( '@stdlib/strided-base-dmskmap2' ); ``` #### dmskmap2( N, x, strideX, y, strideY, mask, strideMask, z, strideZ, fcn ) Applies a binary function to double-precision floating-point strided input arrays according to a strided mask array and assigns results to a double-precision floating-point strided output array. ```javascript var Float64Array = require( '@stdlib/array-float64' ); var Uint8Array = require( '@stdlib/array-uint8' ); var add = require( '@stdlib/math-base-ops-add' ); var x = new Float64Array( [ -2.0, 1.0, -3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] ); var y = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); var z = new Float64Array( x.length ); var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1, 1, 0 ] ); dmskmap2( x.length, x, 1, y, 1, m, 1, z, 1, add ); // z => [ -1.0, 3.0, 0.0, -1.0, 9.0, 0.0, 0.0, 5.0 ] ``` The function accepts the following arguments: - **N**: number of indexed elements. - **x**: input [`Float64Array`][@stdlib/array/float64]. - **strideX**: index increment for `x`. - **y**: input [`Float64Array`][@stdlib/array/float64]. - **strideY**: index increment for `y`. - **mask**: mask [`Uint8Array`][@stdlib/array/uint8]. - **strideMask**: index increment for `mask`. - **z**: output [`Float64Array`][@stdlib/array/float64]. - **strideZ**: index increment for `z`. - **fcn**: function to apply. The `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, ```javascript var Float64Array = require( '@stdlib/array-float64' ); var Uint8Array = require( '@stdlib/array-uint8' ); var add = require( '@stdlib/math-base-ops-add' ); var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] ); var y = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] ); var z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] ); dmskmap2( 3, x, 2, y, -1, m, 2, z, 1, add ); // z => [ 1.0, 0.0, -4.0, 0.0, 0.0, 0.0 ] ``` Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/float64] views. ```javascript var Float64Array = require( '@stdlib/array-float64' ); var Uint8Array = require( '@stdlib/array-uint8' ); var add = require( '@stdlib/math-base-ops-add' ); // Initial arrays... var x0 = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] ); var y0 = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] ); var z0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); var m0 = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] ); // Create offset views... var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element var z1 = new Float64Array( z0.buffer, z0.BYTES_PER_ELEMENT*2 ); // start at 3rd element var m1 = new Uint8Array( m0.buffer, m0.BYTES_PER_ELEMENT*3 ); // start at 4th element dmskmap2( 3, x1, -2, y1, 1, m1, 1, z1, 1, add ); // z0 => [ 0.0, 0.0, -4.0, -1.0, 0.0, 0.0 ] ``` #### dmskmap2.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, mask, strideMask, offsetMask, z, strideZ, offsetZ, fcn ) Applies a binary function to double-precision floating-point strided input arrays according to a strided mask array and assigns results to a double-precision floating-point strided output array using alternative indexing semantics. ```javascript var Float64Array = require( '@stdlib/array-float64' ); var Uint8Array = require( '@stdlib/array-uint8' ); var add = require( '@stdlib/math-base-ops-add' ); var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0 ] ); var y = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0 ] ); var z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); var m = new Uint8Array( [ 0, 0, 1, 0, 0 ] ); dmskmap2.ndarray( x.length, x, 1, 0, y, 1, 0, m, 1, 0, z, 1, 0, add ); // z => [ 0.0, -1.0, 0.0, -2.0, -2.0 ] ``` The function accepts the following additional arguments: - **offsetX**: starting index for `x`. - **offsetY**: starting index for `y`. - **offsetMask**: starting index for `mask`. - **offsetZ**: starting index for `z`. While [`typed array`][@stdlib/array/float64] views mandate a view offset based on the underlying `buffer`, the offset 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, ```javascript var Float64Array = require( '@stdlib/array-float64' ); var Uint8Array = require( '@stdlib/array-uint8' ); var add = require( '@stdlib/math-base-ops-add' ); var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] ); var y = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] ); var z = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); var m = new Uint8Array( [ 0, 0, 1, 0, 0, 1 ] ); dmskmap2.ndarray( 3, x, 2, 1, y, -1, y.length-1, m, 2, 1, z, 1, 0, add ); // z => [ 1.0, -1.0, 0.0, 0.0, 0.0, 0.0 ] ```

## Examples ```javascript var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory; var bernoulli = require( '@stdlib/random-base-bernoulli' ).factory; var Float64Array = require( '@stdlib/array-float64' ); var filledarrayBy = require( '@stdlib/array-filled-by' ); var add = require( '@stdlib/math-base-ops-add' ); var dmskmap2 = require( '@stdlib/strided-base-dmskmap2' ); var x = filledarrayBy( 10, 'float64', discreteUniform( -100, 100 ) ); console.log( x ); var y = filledarrayBy( x.length, 'float64', discreteUniform( -100, 100 ) ); console.log( y ); var m = filledarrayBy( x.length, 'uint8', bernoulli( 0.2 ) ); console.log( m ); var z = new Float64Array( x.length ); console.log( z ); dmskmap2.ndarray( x.length, x, 1, 0, y, -1, y.length-1, m, 1, 0, z, 1, 0, add ); console.log( z ); ```

## C APIs

### Usage ```c #include "stdlib/strided/base/dmskmap2.h" ``` #### stdlib_strided_dmskmap2( N, \*X, strideX, \*Y, strideY, \*Mask, strideMask, \*Z, strideZ, fcn ) Applies a binary function to double-precision floating-point strided input arrays according to a strided mask array and assigns results to a double-precision floating-point strided output array. ```c #include static double add( const double x, const double y ) { return x + y; } double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 }; double Y[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 }; double Z[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; uint8_t M[] = { 0, 0, 1, 0, 0, 1 }; int64_t N = 6; stdlib_strided_dmskmap2( N, X, 1, Y, 1, M, 1, Z, 1, add ); ``` The function accepts the following arguments: - **N**: `[in] int64_t` number of indexed elements. - **X**: `[in] double*` input array. - **strideX** `[in] int64_t` index increment for `X`. - **Y**: `[int] double*` input array. - **strideY**: `[in] int64_t` index increment for `Y`. - **Mask**: `[in] uint8_t*` mask array. - **strideMask**: `[in] int64_t` index increment for `Mask`. - **Z**: `[out] double*` output array. - **strideZ**: `[in] int64_t` index increment for `Z`. - **fcn**: `[in] double (*fcn)( double, double )` binary function to apply. ```c void stdlib_strided_dmskmap2( const int64_t N, const double *X, const int64_t strideX, const double *Y, const int64_t strideY, const uint8_t *Mask, const int64_t strideMask, double *Z, const int64_t strideZ, double (*fcn)( double, double ) ); ```

### Examples ```c #include "stdlib/strided/base/dmskmap2.h" #include #include #include // Define a callback: static double add( const double x, const double y ) { return x + y; } int main( void ) { // Create input strided arrays: double X[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 }; double Y[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 }; // Create a mask strided array: uint8_t M[] = { 0, 0, 1, 0, 0, 1 }; // Create an output strided array: double Z[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; // Specify the number of elements: int64_t N = 6; // Define the strides: int64_t strideX = 1; int64_t strideY = -1; int64_t strideZ = 1; int64_t strideM = 1; // Apply the callback: stdlib_strided_dmskmap2( N, X, strideX, Y, strideY, M, strideM, Z, strideZ, add ); // Print the results: for ( int64_t i = 0; i < N; i++ ) { printf( "Z[ %"PRId64" ] = %lf\n", i, Z[ i ] ); } } ```

* * * ## 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 © 2016-2024. The Stdlib [Authors][stdlib-authors].

Owner

Name: stdlib
Login: stdlib-js
Kind: organization

Website: https://stdlib.io
Twitter: stdlibjs
Repositories: 3,692
Profile: https://github.com/stdlib-js

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

GitHub Events

Total

Push event: 10

Last Year

Push event: 10

Committers

Last synced: 6 months ago

All Time

Total Commits: 53
Total Committers: 1
Avg Commits per committer: 53.0
Development Distribution Score (DDS): 0.0

Past Year

Commits: 9
Committers: 1
Avg Commits per committer: 9.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
stdlib-bot	n**y@s**o	53

Committer Domains (Top 20 + Academic)

stdlib.io: 1

Issues and Pull Requests

Last synced: 5 months ago

All Time

Total issues: 0
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- npm 4 last-month

Total dependent packages: 5
Total dependent repositories: 2
Total versions: 6
Total maintainers: 4

npmjs.org: @stdlib/strided-base-dmskmap2

Apply 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.

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.2
published over 1 year ago

Versions: 6
Dependent Packages: 5
Dependent Repositories: 2
Downloads: 4 Last month

Rankings

Dependent packages count: 3.7%

Dependent repos count: 7.6%

Average: 11.1%

Downloads: 14.4%

Stargazers count: 14.5%

Forks count: 15.4%

Maintainers (4)

planeshifter rreusser stdlib-bot kgryte

Funding

type: opencollective
url: https://opencollective.com/stdlib

Last synced: 5 months ago

Dependencies

package.json npm

@stdlib/array-filled-by ^0.0.x development
@stdlib/array-float64 ^0.0.x development
@stdlib/array-uint8 ^0.0.x development
@stdlib/bench ^0.0.x development
@stdlib/math-base-assert-is-nan ^0.0.x development
@stdlib/math-base-ops-add ^0.0.x development
@stdlib/math-base-special-pow ^0.0.x development
@stdlib/random-base-bernoulli ^0.0.x development
@stdlib/random-base-discrete-uniform ^0.0.x development
@stdlib/random-base-uniform ^0.0.x development
istanbul ^0.4.1 development
tap-spec 5.x.x development
tape git+https://github.com/kgryte/tape.git#fix/globby development
@stdlib/utils-define-nonenumerable-read-only-property ^0.0.x
@stdlib/utils-library-manifest ^0.0.x

.github/workflows/benchmark.yml actions

actions/checkout v3 composite
actions/setup-node v3 composite

.github/workflows/cancel.yml actions

styfle/cancel-workflow-action 0.11.0 composite

.github/workflows/close_pull_requests.yml actions

superbrothers/close-pull-request v3 composite

.github/workflows/examples.yml actions

actions/checkout v3 composite
actions/setup-node v3 composite

.github/workflows/npm_downloads.yml actions

actions/checkout v3 composite
actions/setup-node v3 composite
actions/upload-artifact v3 composite
distributhor/workflow-webhook v3 composite

.github/workflows/productionize.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
stdlib-js/bundle-action main composite
stdlib-js/transform-errors-action main composite

.github/workflows/publish.yml actions

JS-DevTools/npm-publish v1 composite
act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
styfle/cancel-workflow-action 0.11.0 composite

.github/workflows/test.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite

.github/workflows/test_bundles.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
denoland/setup-deno v1 composite

.github/workflows/test_coverage.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
codecov/codecov-action v3 composite
distributhor/workflow-webhook v3 composite

.github/workflows/test_install.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite

@stdlib/strided-base-dmskmap2

Science Score: 44.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

dmskmap2

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

npmjs.org: @stdlib/strided-base-dmskmap2

Rankings

Maintainers (4)

Funding

Dependencies