New submission from Chiu-Hsiang Hsu:
Currently, lru_cache will automatically construct a Python dictionary in the
function as cachedict. IMHO, it will be much more flexible to let users
specified their cachedict, so they can use any kind of dict-like calss as their
cachedict. Thus, users can use any dictionary implementation and save result in
any form they want.
for example :
use OrderedDict
.. code-block:: python
from functools import lru_cache
from collections import OrderedDict
@lru_cache(maxsize=None, cache=OrderedDict())
def func(*args, **kwargs):
pass
save by pickle
.. code-block:: python
import os
import pickle
from functools import lru_cache
filename = "cache.pickle"
cache = {}
def load_cache():
global cache
if os.path.isfile(filename):
with open(filename, "rb") as f:
cache = pickle.load(f)
def store_cache():
with open(filename, "wb") as f:
pickle.dump(cache, f)
load_cache()
@lru_cache(maxsize=None, cache=cache)
def func(*args, **kwargs):
pass
----------
components: Library (Lib)
files: functools.lru_cache-user-specified-cachedict.patch
keywords: patch
messages: 258001
nosy: wdv4758h
priority: normal
severity: normal
status: open
title: functools.lru_cache user specified cachedict support
type: enhancement
versions: Python 3.6
Added file:
http://bugs.python.org/file41584/functools.lru_cache-user-specified-cachedict.patch
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<http://bugs.python.org/issue26082>
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