Dekorator untuk menggabungkan fungsi dengan callable memoizing yang menyimpan hingga ukuran maksimal panggilan terbaru. Ini dapat menghemat waktu ketika fungsi mahal atau fungsi terikat I/O dipanggil secara berkala dengan argumen yang sama.
@functools.lru_cache(user_function)@lru_cache
def count_vowels(sentence):
return sum(sentence.count(vowel) for vowel in 'AEIOUaeiou')@lru_cache(maxsize=32)
def get_pep(num):
'Retrieve text of a Python Enhancement Proposal'
resource = 'https://peps.python.org/pep-%04d/' % num
try:
with urllib.request.urlopen(resource) as s:
return s.read()
except urllib.error.HTTPError:
return 'Not Found'
>>> for n in 8, 290, 308, 320, 8, 218, 320, 279, 289, 320, 9991:
... pep = get_pep(n)
... print(n, len(pep))
>>> get_pep.cache_info()
CacheInfo(hits=3, misses=8, maxsize=32, currsize=8)@lru_cache(maxsize=None)
def fib(n):
if n < 2:
return n
return fib(n-1) + fib(n-2)
>>> [fib(n) for n in range(16)]
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610]
>>> fib.cache_info()
CacheInfo(hits=28, misses=16, maxsize=None, currsize=16)