Allow a choice of LRU behaviour for Cache() by using LruCache() or OrderedDict()
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@ -55,10 +55,14 @@ cache_counter = metrics.register_cache(
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class Cache(object):
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def __init__(self, name, max_entries=1000, keylen=1):
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self.cache = OrderedDict()
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def __init__(self, name, max_entries=1000, keylen=1, lru=False):
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if lru:
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self.cache = LruCache(max_size=max_entries)
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self.max_entries = None
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else:
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self.cache = OrderedDict()
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self.max_entries = max_entries
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self.max_entries = max_entries
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self.name = name
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self.keylen = keylen
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@ -82,8 +86,9 @@ class Cache(object):
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if len(keyargs) != self.keylen:
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raise ValueError("Expected a key to have %d items", self.keylen)
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while len(self.cache) > self.max_entries:
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self.cache.popitem(last=False)
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if self.max_entries is not None:
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while len(self.cache) >= self.max_entries:
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self.cache.popitem(last=False)
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self.cache[keyargs] = value
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@ -94,9 +99,7 @@ class Cache(object):
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self.cache.pop(keyargs, None)
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# TODO(paul):
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# * consider other eviction strategies - LRU?
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def cached(max_entries=1000, num_args=1):
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def cached(max_entries=1000, num_args=1, lru=False):
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""" A method decorator that applies a memoizing cache around the function.
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The function is presumed to take zero or more arguments, which are used in
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@ -115,6 +118,7 @@ def cached(max_entries=1000, num_args=1):
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name=orig.__name__,
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max_entries=max_entries,
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keylen=num_args,
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lru=lru,
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)
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@functools.wraps(orig)
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@ -69,6 +69,28 @@ class CacheTestCase(unittest.TestCase):
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cache.get(2)
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cache.get(3)
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def test_eviction_lru(self):
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cache = Cache("test", max_entries=2, lru=True)
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cache.prefill(1, "one")
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cache.prefill(2, "two")
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# Now access 1 again, thus causing 2 to be least-recently used
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cache.get(1)
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cache.prefill(3, "three")
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failed = False
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try:
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cache.get(2)
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except KeyError:
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failed = True
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self.assertTrue(failed)
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cache.get(1)
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cache.get(3)
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class CacheDecoratorTestCase(unittest.TestCase):
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