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Hkts 9 goals

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We're a place where coders share, stay up-to-date and grow their careers. And it means that now anyone can use our Higher Kinded Types emulation in their projects. This allows us to express simple types and their transformations.

A lot of languages like go and php do not go beyond this line. And they still work pretty well! It can be understood as "a place for just a single type argument". Generic level is required to express "nested" types. For example, you have a list of integers. In Python we annotate it as List[int] or list[int] in Python 3. This allows us to have types with other types as arguments. List can receive int or str or even another List as the type argument.

This way we can nest type and types start to have their own structure. How can this function work with other iterables like set , frozenset , tuple? We can express this in Python as easy as:. The first obvious thing to try is Iterable protocol. It is builtin into Python and does what we need.

You can see that a part of our typing information is lost. We pass List or Set or Tuple and always get the Iterable back. One can say: we are all using Object-Oriented Programming! Why cannot we just create a new method for each type we need?

And specify the exact return type there! Another solution that might solve our problem is using the overload decorator with proper types for each required case. Looks like we've achieved our goal, haven't we? But, there's a new problem. We have to manually list all possible cases in a function's signature.

This works for cases when all possible arguments and outcomes are known in advance. But, not in this case. In Python Iterable is a protocol. So, the number of possible arguments and outcomes is endless. To illusrate the problem, let's see what happens for Tuple which is not listed in the function's overloads:.

We, in dry-python used this technique with overload decorator for our previous versions. This allowed us to write correct definitions of functions working with generic types. But, they were limited to the pre-defined set of our own types.

And we wanted to allow our users to create their custom types based on our interfaces. With the full existing code reuse. That's where the idea of Higher Kinded Types becomes useful. We need HKTs when we want to change the inner structure of generics with full type information preserving and openness to the extension. In theory, you can write something like:.

And this would solve our problem! What happens here is that we abstract away the Iterable type itself. And then ask mypy to figure this out for us. And it would work for all types. Unfortunately, it is not supported at the moment. Turns out we are not alone in this situation. There are multiple languages where Higher Kinded Types are not natively supported yet. But, they can be emulated:. There's also an original whitepaper for ones who are interested. The core idea of HKT emulation is that we can write types the other way around: not like T[int] , but rather like Kind[T, int] which is absolutely the same thing.

This way we can transform the inner structure of generics, but maintain the simple context without reinventing TypeVar with type arguments. TLDR : here's the final working code with all the logic, all the hacks, and everything. In this article, we going to write and explain it step by step. We would need a better example to test our implementation.

Let's build two types: a Box and a Bag. Box is defined by its size, while a Bag is an item of fashion: it has a brand name and a model name I have a wife, I know this stuff! And we can create Box es and Bag s of different types, because we can put different things inside them:.

Now, we need a function with a type transformation. Let's say we want to apply a function to the value inside boxes and bags. Let's use fake BoxOrBag type for now to illustrate our intent:. We would need to define a new Kind type to make the emulation:.

One pro-tip about Kind : it won't not exist during runtime. Only during type-checking. We need to bind it to something. And we also need an interface to work with:. Because the interface knows that we are dealing with the internal structure change of a generic type. The good thing about subclassing HasValue is that HKTs as well as regular types will protect us from defining incompatible methods and properties.

That's pretty much it! I can proudly call this "unhacked" version. In an ideal world, our HKT emulation would just work. But, in our real-life world - we still need some hacks to make this possible. Let's think about it for a moment. Since it can take quite a lot of time, I am going to skip re-implementing this part and give links to the original source code here:.

First, since Kind is a type and mypy uses nominal inheritance to check subtyping I have tried to make Kind a Protocol several times, but it does not work this way for now it won't be happy that we declare Kind as a return type, but return Bag or Box instead.

Since these two types are unrelated in mypy 's opinion - we would need to fix that with a direct inheritance from Kind. Now Box and Bag are both nominal subtypes of Kind and mypy will be happy with that. Sometimes it is also called the URI parameter.

For example, box. But, would still fail during execution. We need to fix that! Let's see how it works right now without this transformation:. We can use a kinded decorator for that together with one more custom mypy plugin. The idea of this hack is that we catch all calls of functions decorated with kinded and transform their return type from Kind[I, T] into I[T].

The main limitation, for now, is that Kind uses nominal inheritance and is a custom type. So, for now, it is impossible to work with 1st or 3rd party generics like List , Set , etc. We can only work with types who directly inherit from Kind for now. The second limitation comes from the fact we can have generics with a different number of type arguments, as I have shown you before:. So, we would need several Kind alises to work with different amount of type arguments. It would also have a reasonable limit of three type arguments:.

A lot of readers might be shocked by the number of hacks we have to apply to make this work. I guess it is time for me to explain what hacks are temporary and which are going to stay with us.

Most of the hacks come from the fact that mypy does not know what Kind is. Possibly, in the future, it can be built into mypy. Together with the fact that Kind needs to be a direct supertype of types we want to represent as HKTs.

Variadic generics are also in-the-work right now. You can have a look at the PEP draft. So, in the future KindN , Kind1 , and Kind2 would hopefully go away. I am going to finish this article with an example I have promised you in my previous article it took almost half a year of hard work to fulfill!

When used with sync IO type, it would work as a regular function. But, it can also work with async Future type. Wow, it was a cool ride!


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hkts 9 goals

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High-affinity Potassium Transporters HKTs belong to an important class of integral membrane proteins IMPs that facilitate cation transport across the plasma membranes of plant cells. However, given the number of different HKT proteins expressed in plants, it is likely that different members of this protein family perform in a range of functions.

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This is not ready yet both conceptually and in terms of implementation I recommend using the following if anything here sounds interesting:. To create a "standard library" of objects and functions which box native JavaScript data and provide a method-chaining interface to act on said data. Ultimately, this should allow method chaining in complete lieu of pipes, and avoid the need for a lot of code branching.




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  1. Tautilar

    Agree, this brilliant idea is all right about

  2. Mujar

    Specially registered at the forum to tell you a lot for his help in this matter, how can I thank you?

  3. Oliver

    In my opinion, you are wrong. I propose to discuss it.

  4. Farry

    I am sorry, that I interfere, would like to offer other decision.