From c502d64c0e58c88d32bf4c1c116177389186eb5a Mon Sep 17 00:00:00 2001
From: Kovid Goyal <kovid@kovidgoyal.net>
Date: Sun, 11 Oct 2015 11:08:51 +0530
Subject: [PATCH] A constant time LRU cache implementation

---
 src/calibre/utils/lru_cache.py | 263 +++++++++++++++++++++++++++++++++
 1 file changed, 263 insertions(+)
 create mode 100644 src/calibre/utils/lru_cache.py

diff --git a/src/calibre/utils/lru_cache.py b/src/calibre/utils/lru_cache.py
new file mode 100644
index 0000000000..d83945d371
--- /dev/null
+++ b/src/calibre/utils/lru_cache.py
@@ -0,0 +1,263 @@
+#!/usr/bin/env python2
+# vim:fileencoding=utf-8
+# License: GPLv3 Copyright: 2015, Kovid Goyal <kovid at kovidgoyal.net>
+
+from __future__ import (unicode_literals, division, absolute_import,
+                        print_function)
+
+# Based on https://github.com/jlhutch/pylru/blob/master/pylru.py (which is
+# licensed GPL v2+)
+
+class DoublyLinkedNode(object):
+
+    __slots__ = 'empty prev next key value'.split()
+
+    def __init__(self):
+        self.empty = True
+        self.prev = self.next = self.key = self.value = None
+
+class lru_cache(object):
+
+    '''
+    An LRU cache with constant time lookup. Uses a doubly linked list that is
+    pre-allocated based on the cache size. Infinite caches are not supported.
+    '''
+
+    def __init__(self, size=1000, callback=None):
+        ''' callback is called with the key and value when the item is either replaced or removed from the cache. '''
+
+        self.callback = callback
+
+        # Create an empty hash table.
+        self.table = {}
+
+        # Initialize the doubly linked list with one empty node. This is an
+        # invariant. The cache size must always be greater than zero. Each
+        # node has a 'prev' and 'next' variable to hold the node that comes
+        # before it and after it respectively. Initially the two variables
+        # each point to the head node itself, creating a circular doubly
+        # linked list of size one. Then the size property is used to adjust
+        # the list to the desired size.
+        self.head = DoublyLinkedNode()
+        self.head.next = self.head
+        self.head.prev = self.head
+        self._size = 1
+
+        # Adjust the size
+        self.size = size
+
+    def __len__(self):
+        return len(self.table)
+
+    def clear(self):
+        for node in self:
+            node.empty = True
+            node.key = None
+            node.value = None
+
+        self.table.clear()
+
+    def __contains__(self, key):
+        return key in self.table
+
+    def peek(self, key):
+        ' Looks up a value in the cache without affecting cache order. '
+        return self.table[key].value
+
+    def __getitem__(self, key):
+        # Look up the node
+        node = self.table[key]
+
+        # Update the list ordering. Move this node so that is directly
+        # proceeds the head node. Then set the 'head' variable to it. This
+        # makes it the new head of the list.
+        self.move_to_front(node)
+        self.head = node
+
+        # Return the value.
+        return node.value
+
+    def get(self, key, default=None):
+        """Get an item - return default (None) if not present"""
+        try:
+            return self[key]
+        except KeyError:
+            return default
+
+    def set(self, key, value):
+        self[key] = value
+
+    def __setitem__(self, key, value):
+        # First, see if any value is stored under 'key' in the cache already.
+        # If so we are going to replace that value with the new one.
+        node = self.table.get(key)
+        if node is not None:
+            # Replace the value.
+            node.value = value
+
+            # Update the list ordering.
+            self.move_to_front(node)
+            self.head = node
+            return
+
+        # Ok, no value is currently stored under 'key' in the cache. We need
+        # to choose a node to place the new item in. There are two cases. If
+        # the cache is full some item will have to be pushed out of the
+        # cache. We want to choose the node with the least recently used
+        # item. This is the node at the tail of the list. If the cache is not
+        # full we want to choose a node that is empty. Because of the way the
+        # list is managed, the empty nodes are always together at the tail
+        # end of the list. Thus, in either case, by chooseing the node at the
+        # tail of the list our conditions are satisfied.
+
+        # Since the list is circular, the tail node directly preceeds the
+        # 'head' node.
+        node = self.head.prev
+
+        # If the node already contains something we need to remove the old
+        # key from the dictionary.
+        if not node.empty:
+            if self.callback is not None:
+                self.callback(node.key, node.value)
+            del self.table[node.key]
+
+        # Place the new key and value in the node
+        node.empty = False
+        node.key = key
+        node.value = value
+
+        # Add the node to the dictionary under the new key.
+        self.table[key] = node
+
+        # We need to move the node to the head of the list. The node is the
+        # tail node, so it directly preceeds the head node due to the list
+        # being circular. Therefore, the ordering is already correct, we just
+        # need to adjust the 'head' variable.
+        self.head = node
+
+    def __delitem__(self, key):
+        # Lookup the node, then remove it from the hash table.
+        node = self.table[key]
+        del self.table[key]
+
+        node.empty = True
+
+        # Not strictly necessary.
+        node.key = None
+        node.value = None
+
+        # Because this node is now empty we want to reuse it before any
+        # non-empty node. To do that we want to move it to the tail of the
+        # list. We move it so that it directly precedes the 'head' node. This
+        # makes it the tail node. The 'head' is then adjusted. This
+        # adjustment ensures correctness even for the case where the 'node'
+        # is the 'head' node.
+        self.move_to_front(node)
+        self.head = node.next
+
+    def __iter__(self):
+        ''' Return an iterator that returns the keys in the cache in order from
+        the most recently to least recently used. Does not modify the cache
+        order. '''
+        node = self.head
+        left = len(self.table)
+        while left > 0:
+            left -= 1
+            yield node
+            node = node.next
+
+    def items(self):
+        ''' Return an iterator that returns the (key, value) pairs in the cache
+        in order from the most recently to least recently used. Does not
+        modify the cache order. '''
+        for node in self:
+            yield node.key, node.value
+    iteritems = items
+
+    def keys(self):
+        ''' Return an iterator that returns the keys in the cache in order from
+        the most recently to least recently used. Does not modify the cache
+        order. '''
+        for node in self:
+            yield node.key
+    iterkeys = keys
+
+    def values(self):
+        ''' Return an iterator that returns the values in the cache in order
+        from the most recently to least recently used. Does not modify the
+        cache order. '''
+        for node in self:
+            yield node.value
+    itervalues = values
+
+    @property
+    def size(self):
+        ' The current cache size '
+        return self._size
+
+    @size.setter
+    def size(self, size):
+        ' Change the current cache size, the value is auto-clamped to [1, *] '
+        size = max(1, size)
+        if size > self._size:
+            self.expand(size - self._size)
+        elif size < self._size:
+            self.shrink(self._size - size)
+
+    # Internal API {{{
+
+    def expand(self, n):
+        ' Increases the size of the cache by inserting n empty nodes at the tail of the list '
+        n = max(0, n)
+        left = n
+        while left > 0:
+            left -= 1
+            node = DoublyLinkedNode()
+            node.next = self.head
+            node.prev = self.head.prev
+
+            self.head.prev.next = node
+            self.head.prev = node
+
+        self._size += n
+
+    def shrink(self, n):
+        ' Decreases the size of the cache by removing n nodes from the tail of the list '
+        n = max(0, min(n, self._size - 1))
+        left = n
+        while left > 0:
+            left -= 1
+            node = self.head.prev
+            if not node.empty:
+                if self.callback is not None:
+                    self.callback(node.key, node.value)
+                del self.table[node.key]
+
+            # Splice the tail node out of the list
+            self.head.prev = node.prev
+            node.prev.next = self.head
+
+            # The next four lines are not strictly necessary.
+            node.prev = None
+            node.next = None
+
+            node.key = None
+            node.value = None
+
+        self._size -= n
+
+    def move_to_front(self, node):
+        ''' This method adjusts the ordering of the doubly linked list so that
+        'node' directly precedes the 'head' node. Because of the order of
+        operations, if 'node' already directly precedes the 'head' node or if
+        'node' is the 'head' node the order of the list will be unchanged. '''
+        node.prev.next = node.next
+        node.next.prev = node.prev
+
+        node.prev = self.head.prev
+        node.next = self.head.prev.next
+
+        node.next.prev = node
+        node.prev.next = node
+
+    # }}}