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cytora / cachetools   python

Repository URL to install this package:

Version: 3.1.1 

/ __init__.py

"""Extensible memoizing collections and decorators."""

from __future__ import absolute_import

import functools

from . import keys
from .cache import Cache
from .lfu import LFUCache
from .lru import LRUCache
from .rr import RRCache
from .ttl import TTLCache

__all__ = (
    'Cache', 'LFUCache', 'LRUCache', 'RRCache', 'TTLCache',
    'cached', 'cachedmethod'
)

__version__ = '3.1.1'

if hasattr(functools.update_wrapper(lambda f: f(), lambda: 42), '__wrapped__'):
    _update_wrapper = functools.update_wrapper
else:
    def _update_wrapper(wrapper, wrapped):
        functools.update_wrapper(wrapper, wrapped)
        wrapper.__wrapped__ = wrapped
        return wrapper


def cached(cache, key=keys.hashkey, lock=None):
    """Decorator to wrap a function with a memoizing callable that saves
    results in a cache.

    """
    def decorator(func):
        if cache is None:
            def wrapper(*args, **kwargs):
                return func(*args, **kwargs)
        elif lock is None:
            def wrapper(*args, **kwargs):
                k = key(*args, **kwargs)
                try:
                    return cache[k]
                except KeyError:
                    pass  # key not found
                v = func(*args, **kwargs)
                try:
                    cache[k] = v
                except ValueError:
                    pass  # value too large
                return v
        else:
            def wrapper(*args, **kwargs):
                k = key(*args, **kwargs)
                try:
                    with lock:
                        return cache[k]
                except KeyError:
                    pass  # key not found
                v = func(*args, **kwargs)
                try:
                    with lock:
                        cache[k] = v
                except ValueError:
                    pass  # value too large
                return v
        return _update_wrapper(wrapper, func)
    return decorator


def cachedmethod(cache, key=keys.hashkey, lock=None):
    """Decorator to wrap a class or instance method with a memoizing
    callable that saves results in a cache.

    """
    def decorator(method):
        if lock is None:
            def wrapper(self, *args, **kwargs):
                c = cache(self)
                if c is None:
                    return method(self, *args, **kwargs)
                k = key(*args, **kwargs)
                try:
                    return c[k]
                except KeyError:
                    pass  # key not found
                v = method(self, *args, **kwargs)
                try:
                    c[k] = v
                except ValueError:
                    pass  # value too large
                return v
        else:
            def wrapper(self, *args, **kwargs):
                c = cache(self)
                if c is None:
                    return method(self, *args, **kwargs)
                k = key(*args, **kwargs)
                try:
                    with lock(self):
                        return c[k]
                except KeyError:
                    pass  # key not found
                v = method(self, *args, **kwargs)
                try:
                    with lock(self):
                        c[k] = v
                except ValueError:
                    pass  # value too large
                return v
        return _update_wrapper(wrapper, method)
    return decorator