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python cache a function response

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Akshesh Doshi answered on June 17, 2021 Popularity 9/10 Helpfulness 5/10

answer python cache a function response

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python cache a function response

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from functools import lru_cache

@lru_cache(maxsize=None)
def fib(n):
    if n < 2:
        return n
    return fib(n-1) + fib(n-2)

"""
>>> print([fib(n) for n in range(16)])
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610]

>>> print(fib.cache_info())
CacheInfo(hits=28, misses=16, maxsize=None, currsize=16)
"""

# Copied from https://stackoverflow.com/a/9674327

Popularity 9/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: function python response

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Contributed on May 16 2023

Akshesh Doshi

0 Answers Avg Quality 2/10

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python cache return value

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from functools import cache

@cache
def factorial(n):
    return n * factorial(n-1) if n else 1

Popularity 8/10 Helpfulness 8/10 Language python

Source: stackoverflow.com

Tags: python re

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Contributed on Nov 26 2021

Arno Deceuninck

0 Answers Avg Quality 2/10

python cache

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from functools import lru_cache


# store a maximum of 32 value cached
@lru_cache(maxsize=32)
def fib(n):
    if n < 2:
        return n
    return fib(n-1) + fib(n-2)

#clear cache
fib.cache_clear()

Popularity 10/10 Helpfulness 4/10 Language python

Source: codefreelance.net

Tags: python py

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Contributed on Aug 04 2022

Jerome Scott

0 Answers Avg Quality 2/10

python function cache

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# Example use - Decorator code below -----------------------------
import time

@cache(ttl=timedelta(minutes=3), max_entries=300)
def add(a, b):
    time.sleep(2)
    return a + b

@cache()
def substract(a, b):
    time.sleep(2)
    return a - b
  
  
# Decorator code -----------------------------
from datetime import datetime, timedelta

def cache(**kwargs):
  def decorator(function):
    # static function variable for cache, lazy initialization
    try: function.cache
    except: function.cache = {}
    def wrapper(*args):
        # if nothing valid in cache, insert something
        if not args in function.cache or datetime.now() > function.cache[args]['expiry']:
            if 'max_entries' in kwargs:
                max_entries = kwargs['max_entries']
                if max_entries != None and len(function.cache) >= max_entries:
                    now = datetime.now()
                    function.cache = { key: function.cache[key] for key in function.cache.keys() if function.cache[key]['expiry'] > now }
                    # if nothing is expired that is deletable, delete the first
                    if len(function.cache) >= max_entries:
                        del function.cache[next(iter(function.cache))]
            function.cache[args] = {'result': function(*args), 'expiry': datetime.max if 'ttl' not in kwargs else datetime.now() + kwargs['ttl']}

        # answer from cache
        return function.cache[args]['result']
    return wrapper
  return decorator

Popularity 10/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: python py

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Contributed on Jun 17 2021

Valentin Döring

0 Answers Avg Quality 2/10

python cache a function response

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