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tabulateByAsync

Generate a frequency table according to an indicator function.

Installation

npm install @stdlib/utils-async-tabulate-by

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 tabulateByAsync = require( '@stdlib/utils-async-tabulate-by' );

tabulateByAsync( collection, [options,] indicator, done )

Generates a frequency table according to an indicator function (i.e., a function which specifies how to categorize an element in the input collection).

function indicator( value, next ) {
    setTimeout( onTimeout, value );
    function onTimeout() {
        console.log( value );
        next( null, (value > 2000) );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

var arr = [ 3000, 2500, 1000, 750 ];

tabulateByAsync( arr, indicator, done );
/* =>
    750
    1000
    2500
    3000
    [ [ false, 2, 0.5 ], [ true, 2, 0.5 ] ]
*/

The returned frequency table is an array of arrays. Each sub-array corresponds to a unique value in the input collection and is structured as follows:

• 0: unique value
• 1: value count
• 2: frequency percentage

The function accepts the following options:

• limit: the maximum number of pending invocations at any one time. Default: infinity.
• series: boolean indicating whether to sequentially invoke the indicator function for each collection element. If true, the function sets options.limit=1. Default: false.
• thisArg: the execution context for indicator.

By default, all elements are processed concurrently, which means that the function does not guarantee completion order. To process each collection element sequentially, set the series option to true.

function indicator( value, next ) {
    setTimeout( onTimeout, value );
    function onTimeout() {
        console.log( value );
        next( null, (value > 2000) );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

var arr = [ 3000, 2500, 1000, 750 ];

var opts = {
    'series': true
};

tabulateByAsync( arr, opts, indicator, done );
/* =>
    3000
    2500
    1000
    750
    [ [ true, 2, 0.5 ], [ false, 2, 0.5 ] ]
*/

To limit the maximum number of pending function invocations, set the limit option.

function indicator( value, next ) {
    setTimeout( onTimeout, value );
    function onTimeout() {
        console.log( value );
        next( null, (value > 2000) );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

var arr = [ 3000, 2500, 1000, 750 ];

var opts = {
    'limit': 2
};

tabulateByAsync( arr, opts, indicator, done );
/* =>
    2500
    3000
    1000
    750
    [ [ true, 2, 0.5 ], [ false, 2, 0.5 ] ]
*/

To set the execution context of the indicator function, set the thisArg option.

function indicator( value, next ) {
    this.count += 1;
    setTimeout( onTimeout, value );
    function onTimeout() {
        next( null, (value > 2000) );
    }
}

var arr = [ 3000, 2500, 1000, 750 ];

var context = {
    'count': 0
};

var opts = {
    'thisArg': context
};

tabulateByAsync( arr, opts, indicator, done );

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
    // => [ [ false, 2, 0.5 ], [ true, 2, 0.5 ] ]

    console.log( context.count );
    // => 4
}

When invoked, the indicator function is provided a maximum of four arguments:

• value: collection value.
• index: collection index.
• collection: the input collection.
• next: a callback which should be called once the indicator function has finished processing a collection value.

The actual number of provided arguments depends on function length. If the indicator function accepts two arguments, the indicator function is provided value and next. If the indicator function accepts three arguments, the indicator function is provided value, index, and next. For every other indicator function signature, the indicator function is provided all four arguments.

function indicator( value, i, collection, next ) {
    console.log( 'collection: %s. %d: %d', collection.join( ',' ), i, value );
    setTimeout( onTimeout, value );
    function onTimeout() {
        console.log( value );
        next( null, (value > 2000) );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

var arr = [ 3000, 2500, 1000, 750 ];

tabulateByAsync( arr, indicator, done );
/* =>
    collection: 3000,2500,1000,750. 0: 3000
    collection: 3000,2500,1000,750. 1: 2500
    collection: 3000,2500,1000,750. 2: 1000
    collection: 3000,2500,1000,750. 3: 750
    750
    1000
    2500
    3000
    [ [ false, 2, 0.5 ], [ true, 2, 0.5 ] ]
*/

tabulateByAsync.factory( [options,] indicator )

Returns a function which invokes an indicator function once for each element in a collection and generates a frequency table.

function indicator( value, next ) {
    setTimeout( onTimeout, value );
    function onTimeout() {
        console.log( value );
        next( null, (value > 2000) );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

var f = tabulateByAsync.factory( indicator );

var arr1 = [ 3000, 2500, 1000, 750 ];

f( arr1, done );
/* =>
    750
    1000
    2500
    3000
    [ [ false, 2, 0.5 ], [ true, 2, 0.5 ] ]
*/

var arr2 = [ 300, 250, 100 ];

f( arr2, done );
/* =>
    100
    250
    300
    [ [ false, 3, 1.0 ] ]
*/

The function accepts the same options as tabulateByAsync().

Notes

• A collection may be either an Array, Typed Array, or an array-like Object (excluding strings and functions).
• If a provided function calls the next callback with a truthy error argument, the function suspends execution and immediately calls the done callback for subsequent error handling.
• The function does not support dynamic collection resizing.
• The function does not skip undefined elements.
• If provided an empty collection, the function calls the done callback with an empty array for the tabulated results.
• Neither tabulateByAsync nor the function returned by the factory method guarantee asynchronous execution. To guarantee asynchrony, wrap the done callback in a function which either executes at the end of the current stack (e.g., nextTick) or during a subsequent turn of the event loop (e.g., setImmediate, setTimeout).

Examples

var resolve = require( 'path' ).resolve;
var readFile = require( '@stdlib/fs-read-file' );
var tabulateByAsync = require( '@stdlib/utils-async-tabulate-by' );

var files = [
    resolve( __dirname, 'package.json' ),
    resolve( __dirname, 'README.md' ),
    resolve( __dirname, 'beep.boop.md' )
];

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

function indicator( file, next ) {
    var opts = {
        'encoding': 'utf8'
    };
    readFile( file, opts, onFile );

    function onFile( error ) {
        if ( error ) {
            return next( null, 'nonreadable' );
        }
        next( null, 'readable' );
    }
}

tabulateByAsync( files, indicator, done );

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See Also

• @stdlib/utils-async/count-by: group values according to an indicator function and return group counts.
• @stdlib/utils-async/group-by: group values according to an indicator function.
• @stdlib/utils-tabulate-by: generate a frequency table according to an indicator function.

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.