Python type system experiments.

Push the envelope as far as you can!
...and then give up and use cast(), because we don't have applicative
functors or higher kinded types
This commit is contained in:
Sai Nane 2025-03-08 18:01:57 +00:00 committed by DomNomNomVR
parent c7fe539ac6
commit c5eaba88b7
5 changed files with 121 additions and 45 deletions

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@ -1,4 +1,4 @@
from typing import Any, Generic, Hashable, TypeVar, Callable from typing import Any, Hashable, TypeVar, Callable
from gears.effect import effect_of from gears.effect import effect_of
from gears.gear import Gear from gears.gear import Gear
@ -10,7 +10,7 @@ T = TypeVar("T", bound=Hashable)
def connect( def connect(
source: Gear[S], source: Gear[S],
to_target_val: Callable[[S], T], to_target_val: Callable[[S], T],
to_source: Callable[[S, T], S] | None = None, to_source: Callable[[S, T], S],
) -> Gear[T]: ) -> Gear[T]:
target = Gear(to_target_val(source())) target = Gear(to_target_val(source()))

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@ -1,47 +1,31 @@
from typing import Any, Callable, cast
from gears import Gear from gears import Gear
from typing import Any, Generic, Hashable, TypeVar, Callable, TypeVarTuple from .wrap_aware_tuple import WrapAwareTuple
class Effect[*Ts]:
class Effect: def __init__(self, fn: Callable[[*Ts], None], gears: WrapAwareTuple[Gear, *Ts]):
def __init__(self, fn: Callable[..., None], *gears: Gear):
self._fn = fn
self._gears = gears
for gear in gears: for gear in gears:
gear.effects.append(self) gear.effects.append(self)
self._fn = fn
self._gears = gears
self.on_change(gears[0]()) self.on_change()
def on_change(self, _value: Any): def on_change(self):
self._fn(*(gear() for gear in self._gears)) self._fn(*self._gears.unwrap(lambda x: x()))
def effect_of[*Ts, *G_Ts](
*gears: Gear[Any]
) -> Callable[[Callable[[*Ts], None]], Effect]:
# No deduction, no tears, only cast now
ts_gears = cast(WrapAwareTuple[Gear, *Ts], WrapAwareTuple.prewrapped(gears))
return effect_of_typechecked(ts_gears)
T0 = TypeVar("T0", bound=Hashable) def effect_of_typechecked[*Ts](
T1 = TypeVar("T1", bound=Hashable) gears: WrapAwareTuple[Gear, *Ts]
T2 = TypeVar("T2", bound=Hashable) ) -> Callable[[Callable[[*Ts], None]], Effect]:
def decorator(fn: Callable[[*Ts], None]) -> Effect:
# Ts = TypeVarTuple("Ts", bound=Hashable) return Effect(fn, gears)
def effect_of(g0: Gear[T0]) -> Callable[[Callable[[T0], None]], Effect]:
def decorator(fn: Callable[[T0], None]) -> Effect:
return Effect(fn, g0)
return decorator
def effect_of_2(
g0: Gear[T0], g1: Gear[T1]
) -> Callable[[Callable[[T0, T1], None]], Effect]:
def decorator(fn: Callable[[T0, T1], None]) -> Effect:
return Effect(fn, g0, g1)
return decorator
def effect_of_3(
g0: Gear[T0], g1: Gear[T1], g2: Gear[T2]
) -> Callable[[Callable[[T0, T1, T2], None]], Effect]:
def decorator(fn: Callable[[T0, T1, T2], None]) -> Effect:
return Effect(fn, g0, g1, g2)
return decorator return decorator

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@ -1,12 +1,14 @@
from typing import Any, Generic, Hashable, TypeVar, Callable from typing import Any, Hashable, TypeVar, TYPE_CHECKING
T = TypeVar("T", bound=Hashable) T = TypeVar("T", bound=Hashable)
if TYPE_CHECKING:
from gears.effect import Effect
class Gear(Generic[T]): class Gear[T]():
def __init__(self, value: T): def __init__(self, value: T):
self._value = value self._value = value
self.effects = [] self.effects: list['Effect'] = []
def get(self) -> T: def get(self) -> T:
return self._value return self._value
@ -19,4 +21,4 @@ class Gear(Generic[T]):
return return
self._value = value self._value = value
for effect in self.effects: for effect in self.effects:
effect.on_change(value) effect.on_change()

90
gears/wrap_aware_tuple.py Normal file
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@ -0,0 +1,90 @@
from typing import cast, Callable, reveal_type, TYPE_CHECKING
# no-op "Wrap" type
type Identity[X] = X
class WrapAwareTuple[Wrap, *Ts](tuple[Wrap, ...]):
'''
Wrap is a wrapper type around each of the types in Ts, in order.
For example:
a: Wrapped[Wrap, int, str, float] = Wrapped(Wrap[int], Wrap[str], Wrap[float])
This lets us keep track of type transformations, starting from the Identity mapping.
'''
@staticmethod
def id[*NewTs](*args: *NewTs) -> 'WrapAwareTuple[Identity, *NewTs]':
'''
Create a new WrapAwareTuple, using the Identity psuedo-wrapper.
'''
return WrapAwareTuple[Identity, *NewTs](args)
@staticmethod
def prewrapped[NewWrap, *NewTs](args: tuple[NewWrap, ...]) -> 'WrapAwareTuple[NewWrap, *NewTs]':
'''
Create a new WrapAwareTuple, using the given wrapper type.
'''
return WrapAwareTuple[NewWrap, *NewTs](args)
def wrap[NewWrap](self, mapper: Callable[[Wrap], NewWrap]) -> 'WrapAwareTuple[NewWrap, *Ts]':
'''
Wrap all existing elements with a new wrapping function.
This function must unwrap the current wrapping type, if non-Identity, and apply a new one.
To pop the wrapped value from a tuple wrapper:
>>> Wrapped[tuple, int](3).wrap[Identity](lambda x: x[0])
To wrap an unwrapped value into a tuple:
>>> Wrapped[Identity, int](3).wrap(tuple)
'''
# pyright supports Union[*Ts], but we still can't do applicative functor things with it
return WrapAwareTuple[NewWrap, *Ts](mapper(v) for v in self)
def unwrap(self, mapper: Callable[[Wrap], Identity]) -> tuple[*Ts]:
'''
Unwrap all elements in the tuple, returning a normal tuple.
This is the same as calling wrap with the appropriate wrapper, except we simplify the signature and
return type for this case.
'''
return cast(tuple[*Ts], self.wrap(mapper))
def list_fmap[*Ts](t: tuple[*Ts]):
match t:
case (head, *tail):
return ([head], *list_fmap(tuple(tail)))
case _:
return ()
if TYPE_CHECKING:
def _fmap_scratchpad():
reveal_type(list_fmap((1,"s",3.0)))
# Type of "list_fmap((1, "s", 3))" is "tuple[list[*tuple[int, str, float]], *tuple[list[*tuple[Unknown, ...]] | Unknown, ...]] | tuple[()]"
# ...wanted to get "tuple[list[int], list[str], list[float]]"; RIP
def _wrapaware_scratchpad():
atom = WrapAwareTuple.id(3)
reveal_type(atom)
# Type of "atom" is "Wrapped[Unknown, int]"
# (variable) atom: Wrapped[Identity[Unknown], int]
compound_3 = WrapAwareTuple.id(3, "str", 9.0)
reveal_type(compound_3)
# Type of "compound_3" is "Wrapped[Unknown, int, str, float]"
# (variable) compound_3: Wrapped[Identity[Unknown], int, str, float]
tupled_compound_3 = compound_3.wrap(tuple)
reveal_type(tupled_compound_3)
# Type of "tupled_compound_3" is "Wrapped[tuple[Unknown, ...], int, str, float]"
# (variable) tupled_compound_3: Wrapped[tuple[Identity[Unknown], ...], int, str, float]
restored_compound_3 = tupled_compound_3.wrap(lambda x: x[0])
reveal_type(restored_compound_3)
# Type of "restored_compound_3" is "Wrapped[Unknown, int, str, float]"
# (variable) restored_compound_3: Wrapped[Unknown, int, str, float]

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@ -3,7 +3,7 @@ from typing import NamedTuple
from unittest.mock import MagicMock from unittest.mock import MagicMock
from gears import Gear from gears import Gear
from gears.connections import connect from gears.connections import connect
from gears.effect import effect_of, effect_of_2 from gears.effect import effect_of
def test_get_set(): def test_get_set():
@ -35,7 +35,7 @@ def test_effect_of_2():
last_arg: tuple[str, int] | None = None last_arg: tuple[str, int] | None = None
@effect_of_2(g1, g2) @effect_of(g1, g2)
def value_changed(v1: str, v2: int): def value_changed(v1: str, v2: int):
nonlocal last_arg nonlocal last_arg
last_arg = (v1, v2) last_arg = (v1, v2)