feat(checker): infer type variables variance

This commit is contained in:
2026-06-20 13:39:32 +02:00
parent 6eea0c02e0
commit cd8f14153d
4 changed files with 155 additions and 3 deletions

View File

@@ -26,6 +26,7 @@ from midas.checker.types import (
UnknownType,
unfold_type,
)
from midas.checker.variance import VarianceInferrer
from midas.lexer.midas import MidasLexer
from midas.lexer.token import Token
from midas.parser.midas import MidasParser
@@ -132,6 +133,11 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
for stmt in stmts:
stmt.accept(self)
for name, type in self.types._types.items():
if isinstance(type, GenericType):
inferrer = VarianceInferrer(self.types)
self.types._types[name] = inferrer.infer(type)
def assert_bool(self, expr: m.Expr):
type: Type = self.type_of(expr)
if not self.types.is_subtype(type, self._bool):

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@@ -1,6 +1,7 @@
from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum, auto
from typing import Optional, assert_never
import midas.ast.midas as m
@@ -102,15 +103,27 @@ class ExtensionType:
return f"{self.base} & {self.extension}"
class Variance(Enum):
INVARIANT = auto()
COVARIANT = auto()
CONTRAVARIANT = auto()
@dataclass(frozen=True, kw_only=True)
class TypeVar:
name: str
bound: Optional[Type]
variance: Variance = Variance.INVARIANT
def __str__(self) -> str:
variance: str = {
Variance.COVARIANT: "+",
Variance.CONTRAVARIANT: "-",
}.get(self.variance, "")
res: str = f"{variance}{self.name}"
if self.bound is not None:
return f"{self.name} <: {self.bound}"
return self.name
res = f"{res} <: {self.bound}"
return res
@dataclass(frozen=True, kw_only=True)

129
midas/checker/variance.py Normal file
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@@ -0,0 +1,129 @@
from typing import Literal, Optional, cast
from midas.checker.registry import TypesRegistry
from midas.checker.types import (
AppliedType,
ConstraintType,
Function,
GenericType,
OverloadedFunction,
Type,
TypeVar,
Variance,
)
Polarity = Literal[-1, 0, 1]
class Tracker:
def __init__(self, vars: list[TypeVar]) -> None:
self.vars: list[TypeVar] = vars
self.refs: dict[str, set[Polarity]] = {var.name: set() for var in self.vars}
def record(self, var: TypeVar, polarity: Polarity):
self.refs[var.name].add(polarity)
def get_updated_vars(self) -> list[TypeVar]:
return [
TypeVar(
name=var.name, bound=var.bound, variance=self.get_variance(var.name)
)
for var in self.vars
]
def get_variance(self, name: str) -> Variance:
refs: set[Polarity] = self.refs[name]
if refs == {-1}:
return Variance.CONTRAVARIANT
if refs == {1}:
return Variance.COVARIANT
return Variance.INVARIANT
def __contains__(self, item: TypeVar | str):
if isinstance(item, TypeVar):
return item.name in self
return item in self.refs
class VarianceInferrer:
def __init__(self, types: TypesRegistry) -> None:
self.types: TypesRegistry = types
self.tracker: Tracker = Tracker([])
def infer(self, type: GenericType) -> GenericType:
self.tracker = Tracker(type.params)
self.walk(type.body, 1, type.name)
members: dict[str, Type] = self.types._members.get(type.name, {})
for name, member in members.items():
self.walk(member, 1, type.name, [f"member:'{name}'"])
return GenericType(
name=type.name,
params=self.tracker.get_updated_vars(),
body=type.body,
)
def walk(
self,
type: Type,
polarity: Polarity,
base_name: str,
path: Optional[list[str]] = None,
):
if path is None:
path = []
match type:
# Arguments are negative positions -> flip polarity
# Return is positive position -> keep polarity
case Function(pos_args=pos_args, args=mixed_args, kw_args=kw_args):
all_args: list[Function.Argument] = pos_args + mixed_args + kw_args
for arg in all_args:
self.walk(
arg.type,
-polarity,
base_name,
path + [f"arg:'{arg.name}'"],
)
self.walk(type.returns, polarity, base_name, path + ["return"])
# Walk all overloads
case OverloadedFunction(overloads=overloads):
for overload in overloads:
self.walk(overload, polarity, base_name, path)
# If same name as root generic -> skip
# Get inferred variance of parameters and multiply with current
# polarity to recurse through arguments
case AppliedType(name=name, args=args):
# TODO: handle mutually recursive types
if name == base_name:
return
generic: Type = self.types.get_type(name)
assert isinstance(generic, GenericType)
params: list[TypeVar] = generic.params
polarities: dict[Variance, Polarity] = {
Variance.INVARIANT: 0,
Variance.COVARIANT: 1,
Variance.CONTRAVARIANT: -1,
}
for arg, param in zip(args, params):
param_polarity: Polarity = polarities[param.variance]
self.walk(
arg,
cast(Polarity, polarity * param_polarity),
base_name,
path + [f"applied:'{name}'"],
)
# Walk base type
case ConstraintType(type=base):
self.walk(base, polarity, base_name, path + ["constraint"])
# Reached end
# If tracked, record polarity
case TypeVar():
if type in self.tracker:
self.tracker.record(type, polarity)

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@@ -39,7 +39,11 @@ def dump_registry(
print("##### Types #####")
for name, type in checker.types._types.items():
members: dict[str, Type] = checker.types._members.get(name, {})
print(f"{name} = {base_type(type)}")
params: str = ""
if isinstance(type, GenericType):
params = ", ".join(map(str, type.params))
params = f"[{params}]"
print(f"{name}{params} = {base_type(type)}")
if len(members) != 0:
print(" " * 4 + "Members:")
for member_name, member_type in members.items():