Vulnerabilities | |||||
---|---|---|---|---|---|
Version | Suggest | Low | Medium | High | Critical |
2.0.5 | 0 | 0 | 0 | 0 | 0 |
2.0.4 | 0 | 0 | 0 | 0 | 0 |
2.0.3 | 0 | 0 | 0 | 0 | 0 |
2.0.2 | 0 | 0 | 0 | 0 | 0 |
2.0.1 | 0 | 0 | 0 | 0 | 0 |
2.0.0 | 0 | 0 | 0 | 0 | 0 |
1.0.3 | 0 | 0 | 0 | 0 | 0 |
1.0.2 | 0 | 0 | 0 | 0 | 0 |
1.0.1 | 0 | 0 | 0 | 0 | 0 |
1.0.0 | 0 | 0 | 0 | 0 | 0 |
0.1.0 | 0 | 0 | 0 | 0 | 0 |
0.0.6 | 0 | 0 | 0 | 0 | 0 |
0.0.5 | 0 | 0 | 0 | 0 | 0 |
0.0.4 | 0 | 0 | 0 | 0 | 0 |
0.0.3 | 0 | 0 | 0 | 0 | 0 |
0.0.2 | 0 | 0 | 0 | 0 | 0 |
0.0.1 | 0 | 0 | 0 | 0 | 0 |
2.0.5 - This version is safe to use because it has no known security vulnerabilities at this time. Find out if your coding project uses this component and get notified of any reported security vulnerabilities with Meterian-X Open Source Security Platform
Maintain your licence declarations and avoid unwanted licences to protect your IP the way you intended.
MIT - MIT License:info: Simple lru cache for asyncio
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.. code-block:: shell
pip install async-lru
This package is a port of Python's built-in functools.lru_cache <https://docs.python.org/3/library/functools.html#functools.lru_cache>
_ function for asyncio <https://docs.python.org/3/library/asyncio.html>
_. To better handle async behaviour, it also ensures multiple concurrent calls will only result in 1 call to the wrapped function, with all await
\s receiving the result of that call when it completes.
.. code-block:: python
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 in seconds, expiration on timeout) is supported by accepting ttl
configuration
parameter (off by default):
.. code-block:: python
@alru_cache(ttl=5)
async def func(arg):
return arg * 2
The library supports explicit invalidation for specific function call by
cache_invalidate()
:
.. code-block:: python
@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.
The library was donated by Ocean S.A. <https://ocean.io/>
_
Thanks to the company for contribution.