@stdlib/strided-base-cmap

Apply a unary function to a single-precision complex floating-point strided input array and assign results to a single-precision complex floating-point strided output array.

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

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apply array base cmplx complex float float32 flt foreach javascript map ndarray node node-js nodejs single-precision stdlib strided transform unary

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Apply a unary function to a single-precision complex floating-point strided input array and assign results to a single-precision complex floating-point strided output array.

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Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 559 KB

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apply array base cmplx complex float float32 flt foreach javascript map ndarray node node-js nodejs single-precision stdlib strided transform unary

Created about 4 years ago · Last pushed 6 months ago

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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!

cmap

Apply a unary function to a single-precision floating-point strided input array and assign results to a single-precision floating-point strided output array.

## Installation ```bash npm install @stdlib/strided-base-cmap ``` 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 cmap = require( '@stdlib/strided-base-cmap' ); ``` #### cmap( N, x, strideX, y, strideY, fcn ) Applies a unary function to a single-precision complex floating-point strided input array and assigns results to a single-precision complex floating-point strided output array. ```javascript var Complex64Array = require( '@stdlib/array-complex64' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var cceilf = require( '@stdlib/math-base-special-cceilf' ); var x = new Complex64Array( [ -2.3, 1.5, 3.1, -5.2, 4.8, 0.0, -1.6, 3.4 ] ); var y = new Complex64Array( x.length ); cmap( x.length, x, 1, y, 1, cceilf ); var v = y.get( 0 ); // returns var re = real( v ); // returns -2.0 var im = imag( v ); // returns 2.0 ``` The function accepts the following arguments: - **N**: number of indexed elements. - **x**: input [`Complex64Array`][@stdlib/array/complex64]. - **strideX**: index increment for `x`. - **y**: output [`Complex64Array`][@stdlib/array/complex64]. - **strideY**: index increment for `y`. - **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 Complex64Array = require( '@stdlib/array-complex64' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var cceilf = require( '@stdlib/math-base-special-cceilf' ); var x = new Complex64Array( [ -2.3, 1.5, 3.1, -5.2, 4.8, 0.0, -1.6, 3.4 ] ); var y = new Complex64Array( x.length ); cmap( 2, x, 2, y, -1, cceilf ); var v = y.get( 0 ); // returns var re = real( v ); // returns 5.0 var im = imag( v ); // returns 0.0 ``` Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][@stdlib/array/complex64] views. ```javascript var Complex64Array = require( '@stdlib/array-complex64' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var cceilf = require( '@stdlib/math-base-special-cceilf' ); // Initial arrays... var x0 = new Complex64Array( [ -2.3, 1.5, 3.1, -5.2, 4.8, 0.0, -1.6, 3.4 ] ); var y0 = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); // Create offset views... var x1 = new Complex64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element var y1 = new Complex64Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 ); // start at 3rd element cmap( 2, x1, -2, y1, 1, cceilf ); var v = y0.get( 2 ); // returns var re = real( v ); // returns -1.0 var im = imag( v ); // returns 4.0 ``` #### cmap.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, fcn ) Applies a unary function to a single-precision complex floating-point strided input array and assigns results to a single-precision complex floating-point strided output array using alternative indexing semantics. ```javascript var Complex64Array = require( '@stdlib/array-complex64' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var cceilf = require( '@stdlib/math-base-special-cceilf' ); var x = new Complex64Array( [ -2.3, 1.5, 3.1, -5.2, 4.8, 0.0, -1.6, 3.4 ] ); var y = new Complex64Array( x.length ); cmap.ndarray( x.length, x, 1, 0, y, 1, 0, cceilf ); var v = y.get( 0 ); // returns var re = real( v ); // returns -2.0 var im = imag( v ); // returns 2.0 ``` The function accepts the following additional arguments: - **offsetX**: starting index for `x`. - **offsetY**: starting index for `y`. While [`typed array`][@stdlib/array/complex64] 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 Complex64Array = require( '@stdlib/array-complex64' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var cceilf = require( '@stdlib/math-base-special-cceilf' ); var x = new Complex64Array( [ -2.3, 1.5, 3.1, -5.2, 4.8, 0.0, -1.6, 3.4 ] ); var y = new Complex64Array( x.length ); cmap.ndarray( 2, x, 2, 1, y, -1, y.length-1, cceilf ); var v = y.get( y.length-1 ); // returns var re = real( v ); // returns 4.0 var im = imag( v ); // returns -5.0 ```

## Examples ```javascript var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory; var Complex64Array = require( '@stdlib/array-complex64' ); var filledarrayBy = require( '@stdlib/array-filled-by' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var Complex64 = require( '@stdlib/complex-float32-ctor' ); var cmap = require( '@stdlib/strided-base-cmap' ); function scale( x ) { var re = real( x ); var im = imag( x ); return new Complex64( re*10.0, im*10.0 ); } var xbuf = filledarrayBy( 10*2, 'float32', discreteUniform( -100.0, 100.0 ) ); var x = new Complex64Array( xbuf.buffer ); console.log( x ); var y = new Complex64Array( x.length ); console.log( y ); cmap.ndarray( x.length, x, 1, 0, y, -1, y.length-1, scale ); console.log( y ); ```

## C APIs

### Usage ```c #include "stdlib/strided/base/cmap.h" ``` #### stdlib_strided_cmap( N, \*X, strideX, \*Y, strideY, fcn ) Applies a unary function to a single-precision complex floating-point strided input array and assigns results to a single-precision complex floating-point strided output array. ```c #include #include static float complex scale( const float complex x ) { float re = crealf( x ); float im = cimagf( x ); return ( re+10.0f ) + ( im+10.0f )*I; } float complex X[] = { 1.0f+1.0f*I, 2.0f+2.0f*I, 3.0f+3.0f*I, 4.0f+4.0f*I, 5.0f+5.0f*I, 6.0f+6.0f*I }; float complex Y[] = { 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f }; int64_t N = 6; stdlib_strided_cmap( N, X, 1, Y, 1, scale ); ``` The function accepts the following arguments: - **N**: `[in] int64_t` number of indexed elements. - **X**: `[in] float complex*` input array. - **strideX** `[in] int64_t` index increment for `X`. - **Y**: `[out] float complex*` output array. - **strideY**: `[in] int64_t` index increment for `Y`. - **fcn**: `[in] float complex (*fcn)( float complex )` unary function to apply. ```c void stdlib_strided_cmap( const int64_t N, const float complex *X, const int64_t strideX, float complex *Y, const int64_t strideY, float complex (*fcn)( float complex ) ); ```

### Examples ```c #include "stdlib/strided/base/cmap.h" #include #include #include #include // Define a callback: static float complex scale( const float complex x ) { float re = crealf( x ); float im = cimagf( x ); return ( re+10.0f ) + ( im+10.0f )*I; } int main( void ) { // Create an input strided array: float complex X[] = { 1.0+1.0*I, 2.0+2.0*I, 3.0+3.0*I, 4.0+4.0*I, 5.0+5.0*I, 6.0+6.0*I }; // Create an output strided array: float complex Y[] = { 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; // Apply the callback: stdlib_strided_cmap( N, X, strideX, Y, strideY, scale ); // Print the results: for ( int64_t i = 0; i < N; i++ ) { printf( "Y[ %"PRId64" ] = %f + %fi\n", i, creal( Y[i] ), cimag( Y[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 © 2016-2025. 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
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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:
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  - 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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npmjs.org: @stdlib/strided-base-cmap

Apply a unary function to a single-precision complex floating-point strided input array and assign results to a single-precision complex 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
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@stdlib/array-float32 ^0.0.x development
@stdlib/bench ^0.0.x development
@stdlib/complex-float32 ^0.0.x development
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@stdlib/complex-real ^0.0.x development
@stdlib/math-base-assert-is-nan ^0.0.x development
@stdlib/math-base-special-cidentityf ^0.0.x development
@stdlib/math-base-special-pow ^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/types ^0.0.x
@stdlib/utils-define-nonenumerable-read-only-property ^0.0.x
@stdlib/utils-library-manifest ^0.0.x

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@stdlib/strided-base-cmap

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