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Algebraic Data Types via Class Decorators

Project description

Overview

This package provides a class decorator for defining Algebraic Data Types (ADTs) as known from Haskell (data), OCaml (type), and Rust (enum).

Features

  • Simplicity. This package exports only a single definition: the adt class decorator:

    from adt import adt
    
  • Concision. Constructors are specified via class annotations, allowing for syntax comparable to Rust's enums:

    @adt
    class Event:
        MouseClick: [int, int]
        KeyPress:   {'key': str, 'modifiers': list[str]}
    
  • Pattern Matching. Python's pattern matching via match is fully supported (Python >= 3.10).

    event = Event.KeyPress(key='a', modifiers=['shift'])
    match event:
        case Event.MouseClick(x, y):    print(f"Clicked at ({x}, {y}).")
        case Event.KeyPress(key, mods): print(f"Pressed key {key}.")
    
  • Support for both named and unnamed constructor fields. Constructors with

    • named fields, like KeyPress, are specified as a dict[str, type];
    • unnamed fields, like MouseClick, are specified as a list[type];
    • a single unnamed field, can also be specified as a type;
    • no fields, are specified as the empty list.
  • Getters, Setters, and Instance-Checking. As an alternative to pattern matching, getter, setter, and instance-checking methods are derived, e.g.

    if event.is_mouse_click():
        print(f"Clicked at ({event._1}, {event._2}).")
    elif event.is_key_press():
        print(f"Pressed key {event.key}.mods}.")
    
  • Constructors are derived as subclasses of the decorated type and are themselves decorated with dataclass. This derives lots of useful method implementations, e.g. structural equality, string-conversion, and ordering.

  • Constructors are namespaced into the ADT class, but can also be additionally exported:

    @adt(export=True)  # <-- No more `Event.` prefixing required.
    class Event:
        MouseClick: [int, int]
        KeyPress:   {'key': str, 'modifiers': list[str]}
        
        def print(self):
            match self:
                MouseClick(x, y):    ... # <-- As promised, no `Event.MouseClick`!
                KeyPress(key, mods): ... # <-- As promised, no `Event.KeyPress`!
    

Translation

The code generated in the above example by the adt decorator for the Event ADT behaves equivalent to the following code, with the exception that the constructor classes are constructed anonymously, so the global namespace is not even temporarily polluted unless @adt(export=True) is used.

from dataclasses import dataclass

class Event:
    def __init__(self, *args, **kwargs):
        raise TypeError(
            "Tried to construct an ADT instead of one of it's constructors.")

    def is_mouse_click(self) -> bool:
        return isinstance(self, MouseClick)

    def is_key_press(self) -> bool:
        return isinstance(self, KeyPress)

@dataclass
class MouseClick(Expr):
  _1: int
  _2: int

@dataclass
class KeyPress(Expr):
  key: str
  modifiers: list[str]

Expr.MouseClick = MouseClick
Expr.KeyPress   = KeyPress
if not export:
    del MouseClick
    del KeyPress

Related packages

The following compares this package to packages which aim to provide similar functionality:

  • algebraic-data-types also describes ADTs via class decorators and annotations, but does not support pattern matching via match, as it is aimed at older python versions. Also the package does not support named constructor parameters.

  • algebraic-data-type and UxADT does not support a concise definition via decorators and does not support pattern matching via match.

  • choicetypes implements similar functionality, but instead of having subclasses for the constructors, the __init__-method of the main ADT-Class takes a named argument for each constructor variant, which is more verbose, error-prone and does not have a straightforward way to support named constructor arguments.

  • match-variant supports pattern matching via match and realizes ADTs by inheriting from a base class called Variant that seems to process the annotations. It does not seem to support named constructor parameters and methods that check if the ADT is a certain constructor.

  • py-foldadt comes without any documentation and has unclear functionality. It defines various algebraic structures like semirings with unclear connection to ADTs.

Project details


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