Begin work on new generic system

notes2.txt

+donc en gros soit un type est concret et a des membres
+soit un type est générique et contient une fonction qui génère une instance
+
+Type :
+	- Concrete { members: Type[] }
+		- UserType
+		- FunctionType
+	- Generic { parameters: str[], concrete: str[] -> Concrete }
+	
+	
+def f(x): # un type gen par paramètre
+	return x
+	
+Generic { parameters: ["T"], concrete -> FunctionType(... -> ...) }
+
+
+f(5).bidule => instancier le type de f avec un TypeVar pour chaque paramètre 
+			   obtenir un type fonction concret rempli de TypeVar
+			   évaluer et unifier
+			   
+en fait dès qu'on utilise un type générique implicitement (e.g. appel fonction ou usage sans <> )
+on en fait une instance en mettant une TypeVar pour chaque paramètre
+
+def y_to_x(y):
+	return ...
+
+class Container(Generic[T]):
+	x: T
+	def __init__(self, x): # implicitement __init__[S, X](self: S, x: X)
+		self.x = x
+	
+	def get_x(self):
+		return self.x
+		
+	def set_y(self, y): # implicitement set_y[Y](y: Y)
+		self.x = y_to_x(y)
+		
+		
+Container : Generic { 
+	param: ["T"], 
+	concrete: [T] -> type(
+		"x": T, 
+		"init": Generic { param: ["X"], concrete: [X] -> (X -> ()) }
+		"get_x": () -> T, 
+		"set_y": Generic { param: ["Y"], concrete: [Y] -> (Y -> ()) }
+	)
+}
+
+
+x = Container(4) # ici on instancie Container avec un TypeVar donc on a `x: Container[A]`
+				 # on récupère son __init__ qui est de type <S, X> (S, X) -> ()
+				 # idem on instancie ce type avec deux typevars, B et C, donc init est (B, C) -> ()
+				 # unifie B et type(x) => B=Container[A]
+				 # unifie C et type(4) => C=int
+				 # et on lit le corps de __init__ pour faire le reste de l'unification
+				 # self.x est de type A, via l'assignation on unifie A=C=int
+				 # donc x: Container[int] 

typon/trans/stdlib/__init__.py

-from typing import Self, TypeVar, Generic, Protocol, Optional
+from typing import Self, Generic, Protocol, Optional
 
 class object:
     def __eq__(self, other: Self) -> bool: ...
@@ -24,8 +24,6 @@ class float:
     def __init__(self, x: object) -> None: ...
 
 assert int.__add__
-U = TypeVar("U")
-V = TypeVar("V")
 
 class slice:
     pass
@@ -37,12 +35,12 @@ class HasLen(Protocol):
 def len(x: HasLen) -> int:
     ...
 
-class Iterator(Protocol[U]):
+class Iterator[U](Protocol):
     def __iter__(self) -> Self: ...
 
     def __next__(self) -> U: ...
 
-class Iterable(Protocol[U]):
+class Iterable[U](Protocol):
     def __iter__(self) -> Iterator[U]: ...
 
 class str:
@@ -63,7 +61,7 @@ class bytes:
     def decode(self, encoding: str) -> str: ...
     def __len__(self) -> int: ...
 
-class list(Generic[U]):
+class list[U]:
 
     def __add__(self, other: Self) -> Self: ...
 
@@ -82,7 +80,7 @@ class list(Generic[U]):
 assert [1, 2].__iter__()
 assert list[int].__iter__
 
-class dict(Generic[U, V]):
+class dict[U, V]:
     def __getitem__(self, key: U) -> V: ...
     def __setitem__(self, key: U, value: V) -> None: ...
     def __len__(self) -> int: ...
@@ -93,24 +91,24 @@ assert(len(["a"]))
 assert [1, 2, 3][1]
 
 
-def iter(x: Iterable[U]) -> Iterator[U]:
+def iter[U](x: Iterable[U]) -> Iterator[U]:
     ...
 
 assert iter
 
-def next(it: Iterator[U], default: Optional[U] = None) -> U:
+def next[U](it: Iterator[U], default: Optional[U] = None) -> U:
     ...
 # what happens with multiple functions
 
 assert iter(["1", "2"])
 
-def identity(x: U) -> U:
+def identity[U](x: U) -> U:
     ...
 
 assert identity(1)
 assert identity("a")
 
-def identity_2(x: U, y: V) -> tuple[U, V]:
+def identity_2[U, V](x: U, y: V) -> tuple[U, V]:
     ...
 
 assert list.__add__

typon/trans/stdlib/json_.py

 # coding: utf-8
 
-from typing import TypeVar
-
-T = TypeVar("T")
-
-def dump(obj: T, fp: file) -> Task[str]: ...
\ No newline at end of file
+def dump[T](obj: T, fp: file) -> Task[str]: ...
\ No newline at end of file

typon/trans/stdlib/typing_.py

 # coding: utf-8
-
-Generic: BuiltinFeature["Generic"]
-TypeVar: BuiltinFeature["TypeVar"]
\ No newline at end of file

typon/trans/stdlib/typon/__init__.py

-from typing import Callable, TypeVar, Generic
+from typing import Callable
 
-T = TypeVar("T")
-
-class Forked(Generic[T]):
+class Forked[T]:
    def get(self) -> T: ...
 
-class Task(Generic[T]):
+class Task[T]:
     pass
 
-class Future(Generic[T]):
+class Future[T]:
     def get(self) -> Task[T]: ...
 
 
 assert Forked[int].get
 
-def fork(f: Callable[[], T]) -> Task[Forked[T]]:
+def fork[T](f: Callable[[], T]) -> Task[Forked[T]]:
     # stub
     class Res:
         get = f
@@ -22,7 +20,7 @@ def fork(f: Callable[[], T]) -> Task[Forked[T]]:
 
 assert fork(lambda: 1).get
 
-def future(f: Callable[[], T]) -> Task[Future[T]]:
+def future[T](f: Callable[[], T]) -> Task[Future[T]]:
     # stub
     class Res:
         get = f

typon/trans/transpiler/phases/typing/types.py

@@ -14,7 +14,6 @@ def get_default_parents():
         return [obj]
     return []
 
-
 class RuntimeValue:
     pass
 
@@ -24,6 +23,36 @@ class MemberDef:
     val: typing.Any = RuntimeValue()
     in_class_def: bool = True
 
+@dataclass(eq=False)
+class BaseType(ABC):
+    pass
+
+@dataclass(eq=False)
+class TypeVariable(BaseType):
+    pass
+
+@dataclass
+class ConcreteType(BaseType):
+    fields: Dict[str, "MemberDef"] = field(default_factory=dict, init=False)
+
+@dataclass
+class GenericType(BaseType):
+    parameters: list[str]
+
+    def instanciate(self, args: list[BaseType]) -> BaseType:
+        raise NotImplementedError()
+
+
+
+
+
+
+
+
+
+
+
+
 @dataclass
 class UnifyMode:
     search_hierarchy: bool = True