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@ChrisWhealy
Last active November 9, 2019 13:32
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JavaScript function to partition an array by passing each element through a predicate function
/***********************************************************************************************************************
* Partition an array into two arrays based on passing each element to a predicate function.
*
* This function is designed to extend the Array prototype, but only by the explicit action of the consuming library.
* E.G. Assuming the function below belongs to a "utils" module, you must write something like the following:
*
* const utils = require('./utils.js')
* Array.prototype.partitionWith = utils.partitionWith
*
* This function must be defined using a traditional "function" declaration instead of an arrow function. If an arrow
* function were used, then the reference to "this.reduce" wouldn't work...
*
* partitionWith takes a simple predicate function as an argument and returns an array containing two other arrays.
* The first array contains all the elements that do not match the predicate, and the second, all the elements that do
* match the predicate
*
* E.G.
*
* var isEven = x => x % 2 === 0
* var numbers = [1,2,3,4,5,6,7,8,9,10]
* var [odd, even] = numbers.partitionWith(isEven)
*
* odd = [1,3,5,7,9]
* even = [2,4,6,8,10]
*/
const partitionWith = function(predFn) {
const partitionReducer = (acc, el) =>
(success => success ? [acc[0], acc[1].concat(el)]
: [acc[0].concat(el), acc[1]])
(predFn(el))
return this.reduce(partitionReducer, [[],[]])
}
@qmacro
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qmacro commented Nov 8, 2019

Thanks Chris, I did think it might be related to academic principles (I know you very well!)

Interesting term, "meaning obscuring". I quite like f, a, b, x and xs and think that they help, rather than obscure. Theoretically they should also force (or at least persuade me to think about) splitting out logic into further separate functions if it all gets "a bit too much". But I know some folks see that differently. I subscribe to the Erik Meijer school of "x over xs".

partition vs partitionWith - interesting too - Ramda calls it partition. After a beer, I'd argue that the 'with' was superfluous, as (almost) "of course you're going to provide a predicate function" :-)

@ChrisWhealy
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I have no problem with single cases of x over xs, but when you're looking at a reasonably deep stack trace containing lots of functions that all use single letter variable names like names like f and a and b, you (or more specifically, I) quickly loose track of what value is stored where. Quinsiquontly, in my attempt to remove any ambiguity, I tend to use longer, self-descriptive names

The preference of partitionWith over partition is motivated by the same reasoning

Alles sollte Idiotensicher sein, weil manchmal, bin Ich das Idiot...

:-P

@qmacro
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qmacro commented Nov 8, 2019

Goodness me you wouldn't believe how lovely Ramda's implementation of partition is. Might be worth a beer and a live stream to look at it...

@ChrisWhealy
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Yes, the Ramda implementation is:

partition = juxt([filter, reject])

Where juxt first applies the filter function to produce the first array, then its logical complement reject to produce the second array

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