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# Copyright (C) 2006, 2008 Canonical Ltd
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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"""A simple least-recently-used (LRU) cache."""
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from collections import deque
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from bzrlib import symbol_versioning
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class LRUCache(object):
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"""A class which manages a cache of entries, removing unused ones."""
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def __init__(self, max_cache=100, after_cleanup_count=None,
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after_cleanup_size=symbol_versioning.DEPRECATED_PARAMETER):
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if symbol_versioning.deprecated_passed(after_cleanup_size):
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symbol_versioning.warn('LRUCache.__init__(after_cleanup_size) was'
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' deprecated in 1.11. Use'
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' after_cleanup_count instead.',
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after_cleanup_count = after_cleanup_size
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self._queue = deque() # Track when things are accessed
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self._refcount = {} # number of entries in self._queue for each key
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self._update_max_cache(max_cache, after_cleanup_count)
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def __contains__(self, key):
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return key in self._cache
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def __getitem__(self, key):
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val = self._cache[key]
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self._record_access(key)
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return len(self._cache)
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def add(self, key, value, cleanup=None):
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"""Add a new value to the cache.
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Also, if the entry is ever removed from the queue, call cleanup.
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Passing it the key and value being removed.
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:param key: The key to store it under
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:param value: The object to store
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:param cleanup: None or a function taking (key, value) to indicate
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'value' sohuld be cleaned up.
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if key in self._cache:
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self._cache[key] = value
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if cleanup is not None:
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self._cleanup[key] = cleanup
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self._record_access(key)
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if len(self._cache) > self._max_cache:
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def get(self, key, default=None):
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if key in self._cache:
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"""Get the list of keys currently cached.
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Note that values returned here may not be available by the time you
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request them later. This is simply meant as a peak into the current
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:return: An unordered list of keys that are currently cached.
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return self._cache.keys()
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"""Clear the cache until it shrinks to the requested size.
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This does not completely wipe the cache, just makes sure it is under
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the after_cleanup_count.
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# Make sure the cache is shrunk to the correct size
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while len(self._cache) > self._after_cleanup_count:
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# No need to compact the queue at this point, because the code that
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# calls this would have already triggered it based on queue length
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def __setitem__(self, key, value):
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"""Add a value to the cache, there will be no cleanup function."""
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self.add(key, value, cleanup=None)
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def _record_access(self, key):
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"""Record that key was accessed."""
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self._queue.append(key)
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# Can't use setdefault because you can't += 1 the result
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self._refcount[key] = self._refcount.get(key, 0) + 1
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# If our access queue is too large, clean it up too
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if len(self._queue) > self._compact_queue_length:
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self._compact_queue()
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def _compact_queue(self):
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"""Compact the queue, leaving things in sorted last appended order."""
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for item in self._queue:
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if self._refcount[item] == 1:
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new_queue.append(item)
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self._refcount[item] -= 1
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self._queue = new_queue
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# All entries should be of the same size. There should be one entry in
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# queue for each entry in cache, and all refcounts should == 1
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if not (len(self._queue) == len(self._cache) ==
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len(self._refcount) == sum(self._refcount.itervalues())):
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raise AssertionError()
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def _remove(self, key):
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"""Remove an entry, making sure to maintain the invariants."""
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cleanup = self._cleanup.pop(key, None)
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val = self._cache.pop(key)
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if cleanup is not None:
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def _remove_lru(self):
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"""Remove one entry from the lru, and handle consequences.
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If there are no more references to the lru, then this entry should be
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removed from the cache.
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key = self._queue.popleft()
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self._refcount[key] -= 1
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if not self._refcount[key]:
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del self._refcount[key]
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"""Clear out all of the cache."""
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# Clean up in LRU order
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def resize(self, max_cache, after_cleanup_count=None):
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"""Change the number of entries that will be cached."""
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self._update_max_cache(max_cache,
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after_cleanup_count=after_cleanup_count)
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def _update_max_cache(self, max_cache, after_cleanup_count=None):
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self._max_cache = max_cache
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if after_cleanup_count is None:
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self._after_cleanup_count = self._max_cache * 8 / 10
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self._after_cleanup_count = min(after_cleanup_count, self._max_cache)
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self._compact_queue_length = 4*self._max_cache
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if len(self._queue) > self._compact_queue_length:
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self._compact_queue()
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class LRUSizeCache(LRUCache):
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"""An LRUCache that removes things based on the size of the values.
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This differs in that it doesn't care how many actual items there are,
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it just restricts the cache to be cleaned up after so much data is stored.
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The values that are added must support len(value).
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def __init__(self, max_size=1024*1024, after_cleanup_size=None,
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"""Create a new LRUSizeCache.
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:param max_size: The max number of bytes to store before we start
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clearing out entries.
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:param after_cleanup_size: After cleaning up, shrink everything to this
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:param compute_size: A function to compute the size of the values. We
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use a function here, so that you can pass 'len' if you are just
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using simple strings, or a more complex function if you are using
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something like a list of strings, or even a custom object.
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The function should take the form "compute_size(value) => integer".
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If not supplied, it defaults to 'len()'
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self._compute_size = compute_size
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if compute_size is None:
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self._compute_size = len
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# This approximates that texts are > 0.5k in size. It only really
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# effects when we clean up the queue, so we don't want it to be too
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self._update_max_size(max_size, after_cleanup_size=after_cleanup_size)
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LRUCache.__init__(self, max_cache=max(int(max_size/512), 1))
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def add(self, key, value, cleanup=None):
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"""Add a new value to the cache.
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Also, if the entry is ever removed from the queue, call cleanup.
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Passing it the key and value being removed.
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:param key: The key to store it under
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:param value: The object to store
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:param cleanup: None or a function taking (key, value) to indicate
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'value' sohuld be cleaned up.
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if key in self._cache:
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value_len = self._compute_size(value)
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if value_len >= self._after_cleanup_size:
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self._value_size += value_len
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self._cache[key] = value
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if cleanup is not None:
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self._cleanup[key] = cleanup
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self._record_access(key)
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if self._value_size > self._max_size:
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"""Clear the cache until it shrinks to the requested size.
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This does not completely wipe the cache, just makes sure it is under
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the after_cleanup_size.
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# Make sure the cache is shrunk to the correct size
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while self._value_size > self._after_cleanup_size:
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def _remove(self, key):
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"""Remove an entry, making sure to maintain the invariants."""
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val = LRUCache._remove(self, key)
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self._value_size -= self._compute_size(val)
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def resize(self, max_size, after_cleanup_size=None):
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"""Change the number of bytes that will be cached."""
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self._update_max_size(max_size, after_cleanup_size=after_cleanup_size)
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max_cache = max(int(max_size/512), 1)
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self._update_max_cache(max_cache)
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def _update_max_size(self, max_size, after_cleanup_size=None):
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self._max_size = max_size
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if after_cleanup_size is None:
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self._after_cleanup_size = self._max_size * 8 / 10
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self._after_cleanup_size = min(after_cleanup_size, self._max_size)
added
removed
bzrlib/lru_cache.py
