ai-lab-one/emis_funky_funktions.py

from dataclasses import dataclass
from functools import partial, wraps
from typing import Any, Callable, Concatenate, Generic, ParamSpec, Sequence, Tuple, TypeVar

A = TypeVar('A')
B = TypeVar('B')
C = TypeVar('C')
D = TypeVar('D')
P = ParamSpec('P')
P1 = ParamSpec('P1')
P2 = ParamSpec('P2')


# Compose
def c(f2: Callable[[B], C], f1: Callable[P, B]) -> Callable[P, C]:
	@wraps(f1)
	def inner(*args: P.args, **kwargs: P.kwargs) -> C:
		return f2(f1(*args, **kwargs))
	return inner

# Flip: (A -> B -> C) -> B -> A -> C
def flip(f: Callable[P1, Callable[P2, C]]) -> Callable[P2, Callable[P1, C]]:
	@wraps(f)
	def inner1(*args2: P2.args, **kwargs2: P2.kwargs) -> Callable[P1, C]:
		@wraps(f)
		def inner2(*args1: P1.args, **kwargs1: P1.kwargs) -> C:
			return f(*args1, **kwargs1)(*args2, **kwargs2)
		return inner2
	return inner1

# Partial Appliaction shorthand
p = partial

# Two and three-argument currying
# Defining these pointfree fucks up the types btw
def cur2(f: Callable[Concatenate[A, P], C]) -> Callable[[A], Callable[P, C]]:
	return p(p, f) #type:ignore
def cur3(f: Callable[Concatenate[A, B, P], D]) -> Callable[[A], Callable[[B], Callable[P, D]]]:
	return p(p, p, f) #type:ignore

# Curried versions of map & filter with stricter types
def p_map(f: Callable[[A], B]) -> Callable[[Sequence[A]], Sequence[B]]:
	return partial(map, f) #type: ignore

def p_filter(f: Callable[[A], bool]) -> Callable[[Sequence[A]], Sequence[A]]:
	return partial(filter,f) #type: ignore

# Normal Accessors
@cur2
def indx(i: int, s: Sequence[A]) -> A:
	return s[i]
fst = indx(0)
snd = indx(1)

# Semantic Editor Combinators
class SemEdComb:
	class Inner():
		def __init__(self, f: Callable, name: str):
			self.f = f
			self.name = name
		def and_then(self, other: 'SemEdComb.Inner') -> 'SemEdComb.Inner':
			return SemEdComb.Inner(c(other.f, self.f), self.name + ' and ' + other.name)
		def __repr__(self) -> str:
			return f"SemEdComb*({self.name})"
		def __call__(self, *args, **kwargs):
			return self.f(*args, **kwargs)

	def __init__(self, f: Callable[[Callable],Callable], name: str):
		self.f = f
		self.name = name

	def _c(self, next_f: Callable[[Callable], Callable], next_fname: str) -> 'SemEdComb':
		return SemEdComb(c(self.f, next_f), self.name + next_fname)

	RESULT = cur2(c)
	ARG = flip(RESULT)
	ALL = p_map

	@cur3
	@staticmethod
	def INDEX(i, f, arr):
		arr[i] = f(arr[i])
		return arr

	@cur3
	@staticmethod
	def INDEX_TUP(i: int, f: Callable[[Any], Any], tup: Tuple) -> Tuple:
		l = list(tup)
		l[i] = f(l[i])
		return (*l,)

	@cur2
	@staticmethod
	def FIRST(f: Callable[[A], C], tup: Tuple[A, B]) -> Tuple[C, B]:
		return (f(tup[0]), tup[1])

	@cur2
	@staticmethod
	def SECOND(f: Callable[[B], C], tup: Tuple[A, B]) -> Tuple[A, C]:
		return (tup[0], f(tup[1]))

	@property
	def result(self) -> 'SemEdComb':
		return self._c(SemEdComb.RESULT, '.result')

	@property
	def arg(self) -> 'SemEdComb':
		return self._c(SemEdComb.ARG, '.arg')

	@property
	def all(self) -> 'SemEdComb':
		return self._c(SemEdComb.ALL, '.all')

	def index(self, i) -> 'SemEdComb':
		return self._c(SemEdComb.INDEX(i), f'.index({i})')

	def index_tup(self, i) -> 'SemEdComb':
		return self._c(SemEdComb.INDEX_TUP(i), f'.index_tup({i})')

	@property
	def first(self) -> 'SemEdComb':
		return self._c(SemEdComb.FIRST, f'.first')

	@property
	def second(self) -> 'SemEdComb':
		return self._c(SemEdComb.SECOND, f'.second')

	def __repr__(self):
		return f"SemEdComb({self.name})"

	def pmap(self, mapper):
		return SemEdComb.Inner(self.f(mapper), self.name)

	def map(self, mapper, thing_to_map) -> Callable:
		return self.pmap(mapper)(thing_to_map)

	def __call__(self, *args, **kwargs):
		return self.f(*args, **kwargs)

result = SemEdComb(SemEdComb.RESULT, 'result')
arg = SemEdComb(SemEdComb.ARG, 'arg')
index = lambda i: SemEdComb(SemEdComb.INDEX(i), f'index({i})')
index_tup = lambda i: SemEdComb(SemEdComb.INDEX_TUP(i), f'index_tup({i})')
first = SemEdComb(SemEdComb.FIRST, 'first')
second = SemEdComb(SemEdComb.SECOND, 'second')
all_ = SemEdComb(SemEdComb.ALL, 'all')

# Tail call optimizing recursion
@dataclass
class Recur(Generic[P]):
	def __init__(self, *args: P.args, **kwargs: P.kwargs):
		self.args = args
		self.kwargs = kwargs

@dataclass(frozen = True)
class Return(Generic[B]):
	val: B

def tco_rec(f: Callable[P, Recur[P] | Return[B]]) -> Callable[P, B]:
	@wraps(f)
	def tco_loop(*args: P.args, **kwargs: P.kwargs) -> B:
		while True:
			match f(*args, **kwargs):
				case Recur(args=args, kwargs=kwargs): #type:ignore
					pass
				case Return(val=val)|val:
					return val #type:ignore
	return tco_loop

# Options!
@dataclass(frozen=True)
class Some(Generic[A]):
	val: A
Option = Some[A] | None
def map_opt(f: Callable[[A], B], o: Option[A]) -> Option[B]:
	match o:
		case Some(val):
			return Some(f(val))
		case none:
			return none
def bind_opt(f: Callable[[A], Option[B]], o: Option[A]) -> Option[B]:
	match o:
		case Some(val):
			return f(val)
		case none:
			return none

# Results!
@dataclass(frozen=True)
class Ok(Generic[A]):
	val: A
@dataclass(frozen=True)
class Err(Generic[B]):
	err: B
Result = Ok[A] | Err[B]
def map_res(f: Callable[[A], C], r: Result[A, B]) -> Result[C, B]:
	match r:
		case Ok(val):
			return Ok(f(val))
		case not_okay:
			return not_okay
def bind_res(f: Callable[[A], Result[C, B]], r: Result[A, B]) -> Result[C, B]:
	match r:
		case Ok(val):
			return f(val)
		case not_okay:
			return not_okay