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from functools import _CacheInfo, lru_cache
from typing import Any, Callable, TypeVar
from typing_extensions import ParamSpec
def conditional_cache(maxsize: int, condition: Callable):
def decorator(func):
@lru_cache_ext(maxsize=maxsize)
def cached_func(*args, **kwargs):
return func(*args, **kwargs)
def wrapper(*args, **kwargs):
if condition(*args, **kwargs):
return cached_func(*args, **kwargs)
else:
return func(*args, **kwargs)
return wrapper
return decorator
def hash_list(l: list) -> int:
__hash = 0
for i, e in enumerate(l):
__hash = hash((__hash, i, hash_item(e)))
return __hash
def hash_dict(d: dict) -> int:
__hash = 0
for k, v in d.items():
__hash = hash((__hash, k, hash_item(v)))
return __hash
def hash_item(e) -> int:
if hasattr(e, "__hash__") and callable(e.__hash__):
try:
return hash(e)
except TypeError:
pass
if isinstance(e, (list, set, tuple)):
return hash_list(list(e))
elif isinstance(e, (dict)):
return hash_dict(e)
else:
raise TypeError(f"unhashable type: {e.__class__}")
PT = ParamSpec("PT")
RT = TypeVar("RT")
def lru_cache_ext(
*opts, hashfunc: Callable[..., int] = hash_item, **kwopts
) -> Callable[[Callable[PT, RT]], Callable[PT, RT]]:
def decorator(func: Callable[PT, RT]) -> Callable[PT, RT]:
class _lru_cache_ext_wrapper:
args: tuple
kwargs: dict[str, Any]
def cache_info(self) -> _CacheInfo: ...
def cache_clear(self) -> None: ...
@classmethod
@lru_cache(*opts, **kwopts)
def cached_func(cls, args_hash: int) -> RT:
return func(*cls.args, **cls.kwargs)
@classmethod
def __call__(cls, *args: PT.args, **kwargs: PT.kwargs) -> RT:
__hash = hashfunc(
(
id(func),
*[hashfunc(a) for a in args],
*[(hashfunc(k), hashfunc(v)) for k, v in kwargs.items()],
)
)
cls.args = args
cls.kwargs = kwargs
cls.cache_info = cls.cached_func.cache_info
cls.cache_clear = cls.cached_func.cache_clear
return cls.cached_func(__hash)
return _lru_cache_ext_wrapper()
return decorator
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