Python memory caching utilities for Python 2 and 3 versions, also PyPy.
A major problem of funcy.memoize you couldn't test with it because there was no (obvious) way to turn it off. This project was created to suit the "memoization" needs, with a hook to turn it off (for testing or other purposes).
- Simple set and get workflow
- Decorator for "memoization" class methods and functions
- Enabling and disabling functionality (including a context manager)
- No additional packages required to be installed (using only standard python lib)
Install from PyPI:
pip install minicache
Or using alternative command:
pip install https://github.com/duboviy/minicache/archive/master.zip
Or from source use:
python setup.py install
- 2.7
- 3.3
- 3.4
- 3.5
- PyPy
Basic usage
>>> from minicache import cache
>>> cache.has('key')
False
>>> cache.get('key', default='default')
'default'
>>> cache.update('key', 'value')
>>> cache.get('key')
'value'
>>> cache.disable()
>>> cache.get('key')Decorator and context manager
from minicache import cache
import time
@cache.this
def somefunc():
time.sleep(5)
return "this will be cached, and you won't have to wait a second time!"
def test_somefunc():
somefunc()
somefunc()
with cache.temporarily_disabled():
# now we'll have to wait again
somefunc()Decorator for "memoization" class methods:
class Foo(Cacheable):
def __init__(self):
super(Foo, self).__init__()
self._bar = 5
@property
@Cacheable.cached
def m1(self):
print('actual call property...', self._bar)
return self._bar
@Cacheable.cached
def m2(self, a, b, k=4, m=10):
s = a + b + k + m
print('actual call method...', a, b, k, m, s)
return s
@Cacheable.cached
def m3(self, a=3, b=2):
s = a + b
print('actual call method (kwargs only)', a, b, s)
return s... and many other features
MIT licensed library. See LICENSE for details.
If you have suggestions for improving the minicache, please open an issue or pull request on GitHub.
