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GeezerVison is showing github.com — unpythonic/unpythonic/gtco.py at master · Technologicat/unpythonic

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# -*- coding: utf-8 -*-
"""Tail call optimization for generators."""
__all__ = ["gtco", "gtrampolined"]
from collections.abc import Callable, Generator
from functools import wraps
from inspect import isgenerator
from typing import Any, TypeVar
F = TypeVar('F', bound=Callable)
def gtco(generator: Generator) -> Generator:
"""Low-level function: run a generator with TCO enabled.
In the generator, use ``return`` to tail-chain to the next generator.
Example::
def march():
yield 1
yield 2
return march() # tail-chain to a new instance of itself
assert tuple(take(6, gtco(march()))) == (1, 2, 1, 2, 1, 2)
last(take(10000, gtco(march()))) # no crash
"""
while True: # trampoline
x = yield from generator # yield stuff, get final result (return ...)
# don't let the TCO jump target bring along its trampoline if it has one
if isinstance(x, _TrampolinedGenerator):
x = x.g
if isgenerator(x):
generator = x
else:
# usually the return value is None, but allow for an iterable
try:
yield from x # the last batch!
except TypeError:
return x # passthrough
def gtrampolined(gfunc: F) -> F:
"""Decorator for generator functions (i.e. definitions of generators).
Decorating the definition avoids the need to use ``gtco`` at call time.
Example::
@gtrampolined
def ones():
yield 1
return ones()
assert tuple(take(10, ones())) == (1,) * 10
last(take(10000, ones())) # no crash
"""
@wraps(gfunc)
def trampolining_gfunc(*args: Any, **kwargs: Any) -> "_TrampolinedGenerator":
generator = gfunc(*args, **kwargs)
return _TrampolinedGenerator(generator) # inject a trampoline
return trampolining_gfunc
class _TrampolinedGenerator:
"""Wrapper to inject the gtco() call to the generator g returned by gfunc."""
def __init__(self, g: Generator) -> None:
self.g = g
def __iter__(self) -> Generator:
return gtco(iter(self.g)) # start the trampoline
# no __next__, because __iter__ redirects;
# this wrapper is never actually iterated over.
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