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gh-126662: consistent naming for functools._CacheInfo #126721

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gh-126662: consistent naming for functools._CacheInfo #126721

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7a97a0c
consistent naming for functools._CacheInfo
tungol Nov 12, 2024
878bca0
alternate approach
tungol Nov 12, 2024
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7 changes: 4 additions & 3 deletions Lib/functools.py
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Original file line number Diff line number Diff line change
Expand Up @@ -516,7 +516,8 @@ def _unwrap_partialmethod(func):
### LRU Cache function decorator
################################################################################

_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])
CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])
_CacheInfo = CacheInfo

class _HashedSeq(list):
""" This class guarantees that hash() will be called no more than once
Expand Down Expand Up @@ -598,15 +599,15 @@ def lru_cache(maxsize=128, typed=False):
elif callable(maxsize) and isinstance(typed, bool):
# The user_function was passed in directly via the maxsize argument
user_function, maxsize = maxsize, 128
wrapper = _lru_cache_wrapper(user_function, maxsize, typed, _CacheInfo)
wrapper = _lru_cache_wrapper(user_function, maxsize, typed, CacheInfo)
wrapper.cache_parameters = lambda : {'maxsize': maxsize, 'typed': typed}
return update_wrapper(wrapper, user_function)
elif maxsize is not None:
raise TypeError(
'Expected first argument to be an integer, a callable, or None')

def decorating_function(user_function):
wrapper = _lru_cache_wrapper(user_function, maxsize, typed, _CacheInfo)
wrapper = _lru_cache_wrapper(user_function, maxsize, typed, CacheInfo)
wrapper.cache_parameters = lambda : {'maxsize': maxsize, 'typed': typed}
return update_wrapper(wrapper, user_function)

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