Абстрактна Вікіпедія/Оновлення/2021-01-21

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Інформаційний бюлетень цього тижня трохи технічніший за інші.
Перш ніж ми перейдемо до основного змісту, нагадування: подання концепції логотипу наразі відкрито! Вже зроблено шість пропозицій з логотипами, і кожна з них дуже варта того, щоб подивитися. Я сподіваюся побачити більше пропозицій, кінцевий термін подання - 16 лютого.

Формальна модель функції, як вона написана в даний час, передбачає, що вся модель функції вже реалізована. Зокрема, вона покладається на базові типи, що означає тип, який параметризований, як правило, іншим типом.

Що є прикладом параметричного типу? Розгляньмо тип списків.

Список - це впорядкована послідовність елементів. Який тип цих елементів? Ним може бути що завгодно! Існує безліч операцій зі списками, які можна виконати, не знаючи, який тип елементів у списку. Можна взяти перший елемент списку, або змінити порядок елементів у списку, або взяти кожен другий елемент зі списку, або багато іншого.

Який тип елемента повертає функція, яка виводить перший елемент такого списку? Ви не можете цього знати. Оскільки елементи списку можуть бути будь-якого типу, тип повернення функції, що виводить перший елемент, також може бути будь-якого типу.

Now, instead of having a single type called “list” you could also have types called, say, “list of strings”, or “list of numbers”, or “list of booleans”. Or, even more complicated, “list of lists of strings”. You could also have a list of any kind of elements, or multiple kinds at once. Now, if you have a function that returns the first element of a “list of strings”, you know that the return type of that function will always be a string. You have more type safety, and you can have your code-writing tools provide much better guidance when writing functions and function calls, because you know that there must be a string. It is also easier to write the functions because you don’t have to check for cases where there are elements of other types popping up.

But on the other side, we suddenly need many more new types.

In theory, an infinite number of specialized types. And for each of these types, we would need all the specialized functions dealing with that type, leading to an explosion in the number of functions. This would be a maintenance nightmare, because there would be so much code that needs to be checked and written, and it all is very similar.

In order to avoid that, we could write functions that create the type and functions that we need, and that take the type of the elements of the list as an argument. So instead of having a type “list of strings”, we would have a function, call it list(string), that has a single argument, and that you can call list(string) and that would result, on the fly, in a type that is a list whose elements are strings. Or you can call list(integer) and you get a list whose elements are integers.

The same is true for functions: instead of having a function “first” for that only works on lists of string and returns a string, you would have a function that takes the type “string” as an argument and returns a function that works on a list of strings and returns a string. Instead of writing a “first” function for every kind of list, we would write a function that creates these functions and then call them when needed.

There are also situations where the dimension of typed input on which you need to operate is limited by number, rather than or as well as type.

As a more complicated example, if we had a method to do matrix dot multiplication, the number of columns in the first input matrix and rows in the second must match. There, instead of taking just a type to create the matrix (say, a floating point number), our top-level type function would take two integers as the numbers of rows and columns as well. We could then call this method with matrix(float, 4, 3).

Similarly, Earth-based ground positioning information is generally relayed by two dimensions of degree, and optionally one of altitude; there you might have tuple(float, 2) for the former, and tuple(float, 3) for the latter.

The exact way that the Wikifunctions community would decide to model the position type is left up to them – in deciding on a type, they might also want to explicitly specify the planetary body, the datum, the accuracy in each dimension, or other data as well. We just need to make sure we provide the flexibility to editors to represent things they will need or want. Note also that common types, such as geocoordinates, will likely be created as named types on wiki, but structures can always be created on-the-fly too.

This idea has many different names and concrete realizations in different programming languages, such as templates, concepts, parametric polymorphism, generic functions, and data types, etc. For our purposes, we call this generics, and it is currently scheduled to be implemented in Phase ζ (zeta).

Now the thing is that the function model as it is currently described relies heavily on generics. But until they are in place, we can’t really use them. So we are in kind of a limbo, where the precise function model we are implementing right now is not specified anywhere, and instead we are adjusting on the fly based on the current state of the implementation and where we want to eventually end up.

In order to support that, we are publishing an explicit pre-generic function model. Note that this also does not describe the model as it is right now, but it is the model that we are going to implement mostly by the end of Phase γ (gamma) and thus is much more immediately useful than the final function model that we have currently described on-wiki. The idea is then that once we get around to support generics, we will shift over from the pre-generic function model to the full function model. Comments and suggestions on the pre-generic function model and the plan presented here are, as always, very welcome.

Background Wikipedia articles:

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