npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@stdlib/math-strided-special-dfloor

v0.2.2

Published

Round each element in a double-precision floating-point strided array toward negative infinity.

Downloads

11

Readme

dfloor

NPM version Build Status Coverage Status

Round each element in a double-precision floating-point strided array toward negative infinity.

Installation

npm install @stdlib/math-strided-special-dfloor

Usage

var dfloor = require( '@stdlib/math-strided-special-dfloor' );

dfloor( N, x, strideX, y, strideY )

Rounds each element in a double-precision floating-point strided array x toward negative infinity and assigns the results to elements in a double-precision floating-point strided array y.

var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -1.1, 1.1, 3.8, 4.5, 5.9 ] );

// Perform operation in-place:
dfloor( x.length, x, 1, x, 1 );
// x => <Float64Array>[ -2.0, 1.0, 3.0, 4.0, 5.0 ]

The function accepts the following arguments:

  • N: number of indexed elements.
  • x: input Float64Array.
  • strideX: index increment for x.
  • y: output Float64Array.
  • strideY: index increment for y.

The N and stride parameters determine which elements in x and y 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,

var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -1.1, 1.1, 3.8, 4.5, 5.9, -6.7 ] );
var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

dfloor( 3, x, 2, y, -1 );
// y => <Float64Array>[ 5.0, 3.0, -2.0, 0.0, 0.0, 0.0 ]

Note that indexing is relative to the first index. To introduce an offset, use typed array views.

var Float64Array = require( '@stdlib/array-float64' );

// Initial arrays...
var x0 = new Float64Array( [ -1.1, 1.1, 3.8, 4.5, 5.9, -6.7 ] );
var y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

// 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

dfloor( 3, x1, -2, y1, 1 );
// y0 => <Float64Array>[ 0.0, 0.0, 0.0, -7.0, 4.0, 1.0 ]

dfloor.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )

Rounds each element in a double-precision floating-point strided array x toward negative infinity and assigns the results to elements in a double-precision floating-point strided array y using alternative indexing semantics.

var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -1.1, 1.1, 3.8, 4.5, 5.9 ] );
var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );

dfloor.ndarray( x.length, x, 1, 0, y, 1, 0 );
// y => <Float64Array>[ -2.0, 1.0, 3.0, 4.0, 5.0 ]

The function accepts the following additional arguments:

  • offsetX: starting index for x.
  • offsetY: starting index for y.

While typed array 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,

var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -1.1, 1.1, 3.8, 4.5, 5.9, -6.7 ] );
var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

dfloor.ndarray( 3, x, 2, 1, y, -1, y.length-1 );
// y => <Float64Array>[ 0.0, 0.0, 0.0, -7.0, 4.0, 1.0 ]

Examples

var uniform = require( '@stdlib/random-base-uniform' );
var Float64Array = require( '@stdlib/array-float64' );
var dfloor = require( '@stdlib/math-strided-special-dfloor' );

var x = new Float64Array( 10 );
var y = new Float64Array( 10 );

var i;
for ( i = 0; i < x.length; i++ ) {
    x[ i ] = uniform( -10.0, 10.0 );
}
console.log( x );
console.log( y );

dfloor.ndarray( x.length, x, 1, 0, y, -1, y.length-1 );
console.log( y );

C APIs

Usage

#include "stdlib/math/strided/special/dfloor.h"

stdlib_strided_dfloor( N, *X, strideX, *Y, strideY )

Rounds each element in a double-precision floating-point strided array X toward negative infinity and assigns the results to elements in a double-precision floating-point strided array Y.

#include <stdint.h>

const double X[] = { -1.5, 2.3, -3.9, 4.2, -5.0, -6.0, 7.9, -8.1 };
double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };

const int64_t N = 4;

stdlib_strided_dfloor( N, X, 2, Y, 2 );

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: [out] double* output array.
  • strideY: [in] int64_t index increment for Y.
void stdlib_strided_dfloor( const int64_t N, const double *X, const int64_t strideX, double *Y, const int64_t strideY );

Examples

#include "stdlib/math/strided/special/dfloor.h"
#include <stdint.h>
#include <stdio.h>

int main( void ) {
    // Create an input strided array:
    const double X[] = { -1.5, 2.3, -3.9, 4.2, -5.0, -6.0, 7.9, -8.1 };

    // Create an output strided array:
    double Y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };

    // Specify the number of elements:
    const int64_t N = 4;

    // Specify the stride lengths:
    const int64_t strideX = 2;
    const int64_t strideY = 2;

    // Compute the results:
    stdlib_strided_dfloor( N, X, strideX, Y, strideY );

    // Print the results:
    for ( int i = 0; i < 8; i++ ) {
        printf( "Y[ %i ] = %lf\n", i, Y[ i ] );
    }
}

See Also


Notice

This package is part of 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, see the main project repository.

Community

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.