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Error Database

NPM version Build Status Coverage Status

Standard library error code database.

Installation

npm install @stdlib/error-tools-database

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
  • If you are using Deno, visit the deno branch (see README for usage intructions).
  • For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md 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

var database = require( '@stdlib/error-tools-database' );

database()

Returns a mapping of standard library error codes to their corresponding error messages.

var db = database();
// returns {...}

Examples

var invertObject = require( '@stdlib/utils-object-inverse' );
var replace = require( '@stdlib/string-replace' );
var database = require( '@stdlib/error-tools-database' );

var db = database();
var errorMap = invertObject( db );
var RE_ERR_MSG = /Error\( '([^']+)' \)/;

function replacer( match, p1 ) {
    return 'Error( formatProdErrorMessage( \'' + errorMap[ p1 ] + '\' ) )';
}

var code = 'throw new Error( \'insufficient input arguments. Must provide at least one iterator function.\' );';
var transformed = replace( code, RE_ERR_MSG, replacer );
// returns 'throw new Error( formatProdErrorMessage( \'04\' ) );'

License

The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.


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.

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Copyright

Copyright © 2016-2024. The Stdlib Authors.