experimental/cuda-ubi9/: async-lru-2.0.4 metadata and description
Simple LRU cache for asyncio
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| description_content_type | text/x-rst |
| keywords | asyncio,lru,lru_cache |
| license | MIT License |
| maintainer | aiohttp team <team@aiohttp.org> |
| maintainer_email | team@aiohttp.org |
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| requires_dist |
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| requires_python | >=3.8 |
| File | Tox results | History |
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async_lru-2.0.4-py3-none-any.whl
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- info:
Simple lru cache for asyncio
Installation
pip install async-lruUsage
This package is a port of Python’s built-in functools.lru_cache function for asyncio. To better handle async behaviour, it also ensures multiple concurrent calls will only result in 1 call to the wrapped function, with all awaits receiving the result of that call when it completes.
import asyncio
import aiohttp
from async_lru import alru_cache
@alru_cache(maxsize=32)
async def get_pep(num):
resource = 'http://www.python.org/dev/peps/pep-%04d/' % num
async with aiohttp.ClientSession() as session:
try:
async with session.get(resource) as s:
return await s.read()
except aiohttp.ClientError:
return 'Not Found'
async def main():
for n in 8, 290, 308, 320, 8, 218, 320, 279, 289, 320, 9991:
pep = await get_pep(n)
print(n, len(pep))
print(get_pep.cache_info())
# CacheInfo(hits=3, misses=8, maxsize=32, currsize=8)
# closing is optional, but highly recommended
await get_pep.cache_close()
asyncio.run(main())TTL (time-to-live, expiration on timeout) is supported by accepting ttl configuration parameter (off by default):
@alru_cache(ttl=5)
async def func(arg):
return arg * 2The library supports explicit invalidation for specific function call by cache_invalidate():
@alru_cache(ttl=5)
async def func(arg1, arg2):
return arg1 + arg2
func.cache_invalidate(1, arg2=2)The method returns True if corresponding arguments set was cached already, False otherwise.
Python 3.8+ is required
Thanks
The library was donated by Ocean S.A.
Thanks to the company for contribution.