Adding upstream version 115.8.0esr.upstream/115.8.0esr

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 556 insertions, 0 deletions

diff --git a/third_party/python/pylru/pylru.py b/third_party/python/pylru/pylru.py
new file mode 100644
index 0000000000..e69cadb76c
--- /dev/null
+++ b/third_party/python/pylru/pylru.py
@@ -0,0 +1,556 @@
+
+# Cache implementaion with a Least Recently Used (LRU) replacement policy and
+# a basic dictionary interface.
+
+# Copyright (C) 2006, 2009, 2010, 2011 Jay Hutchinson
+
+# This program is free software; you can redistribute it and/or modify it
+# under the terms of the GNU General Public License as published by the Free
+# Software Foundation; either version 2 of the License, or (at your option)
+# any later version.
+
+# This program is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
+# more details.
+
+# You should have received a copy of the GNU General Public License along
+# with this program; if not, write to the Free Software Foundation, Inc., 51
+# Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+
+
+# The cache is implemented using a combination of a python dictionary (hash
+# table) and a circular doubly linked list. Items in the cache are stored in
+# nodes. These nodes make up the linked list. The list is used to efficiently
+# maintain the order that the items have been used in. The front or head of
+# the list contains the most recently used item, the tail of the list
+# contains the least recently used item. When an item is used it can easily
+# (in a constant amount of time) be moved to the front of the list, thus
+# updating its position in the ordering. These nodes are also placed in the
+# hash table under their associated key. The hash table allows efficient
+# lookup of values by key.
+
+# Class for the node objects.
+class _dlnode(object):
+    def __init__(self):
+        self.empty = True
+
+
+class lrucache(object):
+
+    def __init__(self, size, callback=None):
+
+        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() method is used to adjust
+        # the list to the desired size.
+
+        self.head = _dlnode()
+        self.head.next = self.head
+        self.head.prev = self.head
+
+        self.listSize = 1
+
+        # Adjust the size
+        self.size(size)
+
+
+    def __len__(self):
+        return len(self.table)
+
+    def clear(self):
+        for node in self.dli():
+            node.empty = True
+            node.key = None
+            node.value = None
+
+        self.table.clear()
+
+
+    def __contains__(self, key):
+        return key in self.table
+
+    # Looks up a value in the cache without affecting cache order.
+    def peek(self, key):
+        # Look up the node
+        node = self.table[key]
+        return node.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.mtf(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 __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.
+        if key in self.table:
+
+            # Lookup the node
+            node = self.table[key]
+
+            # Replace the value.
+            node.value = value
+
+            # Update the list ordering.
+            self.mtf(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 preceeds 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.mtf(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.
+        for node in self.dli():
+            yield node.key
+
+    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.dli():
+            yield (node.key, node.value)
+
+    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.dli():
+            yield node.key
+
+    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.dli():
+            yield node.value
+
+    def size(self, size=None):
+
+        if size is not None:
+            assert size > 0
+            if size > self.listSize:
+                self.addTailNode(size - self.listSize)
+            elif size < self.listSize:
+                self.removeTailNode(self.listSize - size)
+
+        return self.listSize
+
+    # Increases the size of the cache by inserting n empty nodes at the tail
+    # of the list.
+    def addTailNode(self, n):
+        for i in range(n):
+            node = _dlnode()
+            node.next = self.head
+            node.prev = self.head.prev
+
+            self.head.prev.next = node
+            self.head.prev = node
+
+        self.listSize += n
+
+    # Decreases the size of the list by removing n nodes from the tail of the
+    # list.
+    def removeTailNode(self, n):
+        assert self.listSize > n
+        for i in range(n):
+            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.listSize -= n
+
+
+    # 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.
+    def mtf(self, node):
+        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
+
+    # This method returns an iterator that iterates over the non-empty nodes
+    # in the doubly linked list in order from the most recently to the least
+    # recently used.
+    def dli(self):
+        node = self.head
+        for i in range(len(self.table)):
+            yield node
+            node = node.next
+
+
+
+
+class WriteThroughCacheManager(object):
+    def __init__(self, store, size):
+        self.store = store
+        self.cache = lrucache(size)
+
+    def __len__(self):
+        return len(self.store)
+
+    # Returns/sets the size of the managed cache.
+    def size(self, size=None):
+        return self.cache.size(size)
+
+    def clear(self):
+        self.cache.clear()
+        self.store.clear()
+
+    def __contains__(self, key):
+        # Check the cache first. If it is there we can return quickly.
+        if key in self.cache:
+            return True
+
+        # Not in the cache. Might be in the underlying store.
+        if key in self.store:
+            return True
+
+        return False
+
+    def __getitem__(self, key):
+        # First we try the cache. If successful we just return the value. If
+        # not we catch KeyError and ignore it since that just means the key
+        # was not in the cache.
+        try:
+            return self.cache[key]
+        except KeyError:
+            pass
+
+        # It wasn't in the cache. Look it up in the store, add the entry to
+        # the cache, and return the value.
+        value = self.store[key]
+        self.cache[key] = value
+        return 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 __setitem__(self, key, value):
+        # Add the key/value pair to the cache and store.
+        self.cache[key] = value
+        self.store[key] = value
+
+    def __delitem__(self, key):
+        # Write-through behavior cache and store should be consistent. Delete
+        # it from the store.
+        del self.store[key]
+        try:
+            # Ok, delete from the store was successful. It might also be in
+            # the cache, try and delete it. If not we catch the KeyError and
+            # ignore it.
+            del self.cache[key]
+        except KeyError:
+            pass
+
+    def __iter__(self):
+        return self.keys()
+
+    def keys(self):
+        return self.store.keys()
+
+    def values(self):
+        return self.store.values()
+
+    def items(self):
+        return self.store.items()
+
+
+
+class WriteBackCacheManager(object):
+    def __init__(self, store, size):
+        self.store = store
+
+        # Create a set to hold the dirty keys.
+        self.dirty = set()
+
+        # Define a callback function to be called by the cache when a
+        # key/value pair is about to be ejected. This callback will check to
+        # see if the key is in the dirty set. If so, then it will update the
+        # store object and remove the key from the dirty set.
+        def callback(key, value):
+            if key in self.dirty:
+                self.store[key] = value
+                self.dirty.remove(key)
+
+        # Create a cache and give it the callback function.
+        self.cache = lrucache(size, callback)
+
+    # Returns/sets the size of the managed cache.
+    def size(self, size=None):
+        return self.cache.size(size)
+
+    def clear(self):
+        self.cache.clear()
+        self.dirty.clear()
+        self.store.clear()
+
+    def __contains__(self, key):
+        # Check the cache first, since if it is there we can return quickly.
+        if key in self.cache:
+            return True
+
+        # Not in the cache. Might be in the underlying store.
+        if key in self.store:
+            return True
+
+        return False
+
+    def __getitem__(self, key):
+        # First we try the cache. If successful we just return the value. If
+        # not we catch KeyError and ignore it since that just means the key
+        # was not in the cache.
+        try:
+            return self.cache[key]
+        except KeyError:
+            pass
+
+        # It wasn't in the cache. Look it up in the store, add the entry to
+        # the cache, and return the value.
+        value = self.store[key]
+        self.cache[key] = value
+        return 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 __setitem__(self, key, value):
+        # Add the key/value pair to the cache.
+        self.cache[key] = value
+        self.dirty.add(key)
+
+    def __delitem__(self, key):
+
+        found = False
+        try:
+            del self.cache[key]
+            found = True
+            self.dirty.remove(key)
+        except KeyError:
+            pass
+
+        try:
+            del self.store[key]
+            found = True
+        except KeyError:
+            pass
+
+        if not found:  # If not found in cache or store, raise error.
+            raise KeyError
+
+
+    def __iter__(self):
+        return self.keys()
+
+    def keys(self):
+        for key in self.store.keys():
+            if key not in self.dirty:
+                yield key
+
+        for key in self.dirty:
+            yield key
+
+
+    def values(self):
+        for key, value in self.items():
+            yield value
+
+
+    def items(self):
+        for key, value in self.store.items():
+            if key not in self.dirty:
+                yield (key, value)
+
+        for key in self.dirty:
+            value = self.cache.peek(key)
+            yield (key, value)
+
+
+
+    def sync(self):
+        # For each dirty key, peek at its value in the cache and update the
+        # store. Doesn't change the cache's order.
+        for key in self.dirty:
+            self.store[key] = self.cache.peek(key)
+        # There are no dirty keys now.
+        self.dirty.clear()
+
+    def flush(self):
+        self.sync()
+        self.cache.clear()
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.sync()
+        return False
+
+
+class FunctionCacheManager(object):
+    def __init__(self, func, size):
+        self.func = func
+        self.cache = lrucache(size)
+
+    def size(self, size=None):
+        return self.cache.size(size)
+
+    def clear(self):
+        self.cache.clear()
+
+    def __call__(self, *args, **kwargs):
+        kwtuple = tuple((key, kwargs[key]) for key in sorted(kwargs.keys()))
+        key = (args, kwtuple)
+        try:
+            return self.cache[key]
+        except KeyError:
+            pass
+
+        value = self.func(*args, **kwargs)
+        self.cache[key] = value
+        return value
+
+
+def lruwrap(store, size, writeback=False):
+    if writeback:
+        return WriteBackCacheManager(store, size)
+    else:
+        return WriteThroughCacheManager(store, size)
+
+import functools
+
+class lrudecorator(object):
+    def __init__(self, size):
+        self.cache = lrucache(size)
+
+    def __call__(self, func):
+        def wrapper(*args, **kwargs):
+            kwtuple = tuple((key, kwargs[key]) for key in sorted(kwargs.keys()))
+            key = (args, kwtuple)
+            try:
+                return self.cache[key]
+            except KeyError:
+                pass
+
+            value = func(*args, **kwargs)
+            self.cache[key] = value
+            return value
+
+        wrapper.cache = self.cache
+        wrapper.size = self.cache.size
+        wrapper.clear = self.cache.clear
+        return functools.update_wrapper(wrapper, func)