From 502d6770152e13c7560ea3adb25dddd4265dc016 Mon Sep 17 00:00:00 2001
From: Antony Lesuisse <al@openerp.com>
Date: Wed, 26 Mar 2014 14:01:46 +0100
Subject: [REM] move document_webdav to openerp-extra

bzr revid: al@openerp.com-20140326130146-up8geys9qzh4jhc8
---
 addons/document_webdav/cache.py | 41 -----------------------------------------
 1 file changed, 41 deletions(-)
 delete mode 100644 addons/document_webdav/cache.py

(limited to 'addons/document_webdav/cache.py')

diff --git a/addons/document_webdav/cache.py b/addons/document_webdav/cache.py
deleted file mode 100644
index 95ff9d31f62..00000000000
--- a/addons/document_webdav/cache.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import time
-import heapq
-
-def memoize(maxsize):
-    """decorator to 'memoize' a function - caching its results"""
-    def decorating_function(f):
-        cache = {}  # map from key to value
-        heap = []   # list of keys, in LRU heap
-        cursize = 0 # because len() is slow
-        def wrapper(*args):
-            key = repr(args)
-            # performance crap
-            _cache=cache
-            _heap=heap
-            _heappop = heapq.heappop
-            _heappush = heapq.heappush
-            _time = time.time
-            _cursize = cursize
-            _maxsize = maxsize
-            if not _cache.has_key(key):
-                if _cursize == _maxsize:
-                    # pop oldest element
-                    (_,oldkey) = _heappop(_heap)
-                    _cache.pop(oldkey)
-                else:
-                    _cursize += 1
-                # insert this element
-                _cache[key] = f(*args)
-                _heappush(_heap,(_time(),key))
-                wrapper.misses += 1
-            else:
-                wrapper.hits += 1
-            return cache[key]
-        wrapper.__doc__ = f.__doc__
-        wrapper.__name__ = f.__name__
-        wrapper.hits = wrapper.misses = 0
-        return wrapper 
-    return decorating_function
-
-
-# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
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