Comments (1)
The Python 3.6 release notes explicitly say that relying on the dict sorting order should be avoided (at least until their implementation is part of an official spec).
So I therefore think a feature relying on it for caching purposes shouldn't be incorporated (if I understand your suggestion correctly).
from flask-caching.
Related Issues (20)
- Call public get and set methods as part of cached and memoize decorators
- cache object has no attribute inc
- Enable mypy strict mode
- Docs suggestion vis-a-vis staticmethods
- CACHE_OPTIONS has no effect if CACHE_REDIS_URL is set HOT 1
- Cache raised werkzeug HTTPExceptions HOT 1
- Memoize doesn't give correct results with list as one of the parameter in API HOT 6
- Redis cluster - read-replica routing
- Return type annotation for `get()` is too restrictive
- API documentation not rendering HOT 2
- Wrong output in conjunction with stream_template
- Using an integer in cache.get() doesn't give an appropriate error HOT 1
- RedisCache support for callable key prefixes was removed as of 1.11.0 HOT 1
- Caching a function with a DataFrame parameter doesn't work HOT 1
- _memver key entry for @cache.memoized call tracks TTL but probably shouldn't?
- Example code for checking value of memoized functions HOT 2
- Use cachelib version above 0.9.0 HOT 2
- key_prefix can support func ? : Expected type 'str', got '() -> str' instead HOT 3
- Please relax Flask version restriction to support `Flask==3.0.0` HOT 3
- Connect redis cluster with a redis url
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from flask-caching.