/usr/lib64/python2.6/site-packages/mx/Misc
NameSizeModeActions
Cache.py67380644editdlrm
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CommandLine.py187060644editdlrm
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ConfigFile.py295410644editdlrm
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ConfigFile.pyo330040644editdlrm
Cookie.py56250644editdlrm
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COPYRIGHT10300644editdlrm
CSV.py185200644editdlrm
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ExitFunctions.py23080644editdlrm
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ExitFunctions.pyo28600644editdlrm
FileLock.py124190644editdlrm
FileLock.pyc120250644editdlrm
FileLock.pyo120250644editdlrm
LazyModule.py44000644editdlrm
LazyModule.pyc42440644editdlrm
LazyModule.pyo42440644editdlrm
LICENSE45870644editdlrm
Namespace.py154550644editdlrm
Namespace.pyc180510644editdlrm
Namespace.pyo180510644editdlrm
OrderedMapping.py131070644editdlrm
OrderedMapping.pyc150530644editdlrm
OrderedMapping.pyo150530644editdlrm
PackageTools.py116810644editdlrm
PackageTools.pyc113460644editdlrm
PackageTools.pyo113460644editdlrm
__init__.py00644editdlrm
__init__.pyc1410644editdlrm
__init__.pyo1410644editdlrm
Edit: /usr/lib64/python2.6/site-packages/mx/Misc/Cache.py (6738B)
""" Cache - Generic cache implementation Copyright (c) 1998-2000, Marc-Andre Lemburg; mailto:mal@lemburg.com See the documentation for further information on copyrights, or contact the author. All Rights Reserved. """ import sys import mx.Tools.NewBuiltins # Weight table MAXLOCALITY = 256 _weights = [1] * MAXLOCALITY # maximal history size (must somewhat larger than MAXLOCALITY) HISTORYLIMIT = 2 * MAXLOCALITY # Cut goal that has to be reached (self.max_cachesize * float(DENOM / NOM)) DENOM = 3 NOM = 4 # Print debugging info ? _debug = 0 # Init globals class _modinit: import math l = frange(0,1,MAXLOCALITY) for i,factor in irange(l): _weights[i] = int((math.exp(factor) - 1.0) * 8192) if _debug: print i,'. weight =',_weights[i] del _modinit ### Classes class NotCached: """ A singleton that can be used in conjunction with the .get() method of Cache. It behaves like None. """ def __nonzero__(self): return 0 __len__ = __nonzero__ NotCached = NotCached() ### class Cache: """ Tunable cache implementation The following parameters influence the cache behaviour: - max_cachesize: the cache will be cut smaller when this limit is reached - max_elementsize: elements with size greate than this limit will not be cached - locality: these many elements will be looked at in the hit statistics to determine how important a specific entry is """ data = None # Dict. of id:value cache entries put_history = None # Reverse list of id puts; last is most # recent access; contains id for each access get_history = None # Reverse list of id gets; last is most # recent access; contains id for each access def __init__(self,max_cachesize=200, max_elementsize=4096, locality=50): self.max_cachesize = max_cachesize self.max_elementsize = max_elementsize if locality > MAXLOCALITY: raise ValueError,'locality must be <= %i' % MAXLOCALITY self.locality = locality self.cachesize = 0 self.cuts = 0 self.misses = 0 self.hits = 0 self.data = {} self.put_history = [] self.get_history = [] def cut(self, NOM=NOM,DENOM=DENOM): """ Force a cut of the cache's contents. This will make room for at least one new entry. """ if _debug: print ' Cutting down cache size...' cachesize = self.cachesize # Cut the cache down to the entries in recent get history newdata = {} known_key = newdata.has_key data = self.data for id in self.get_history[-self.locality:]: if known_key(id): continue try: newdata[id] = data[id] except KeyError: pass cachesize = len(newdata) if _debug: print ' Size after cut to recent history:',cachesize # Check if cachesize * NOM >= self.max_cachesize * DENOM: # Calculate weights d = {} weights = _weights d_get = d.get for i,id in irange(self.get_history[-self.locality:]): if not known_key(id): continue d[id] = d_get(id,0) + weights[i] # Delete all entries left from median ranking = sortedby(d.items(),1) if _debug: print ' Ranking:',ranking for id,weight in ranking[:len(d)/2]: if _debug: print ' Deleting',id,'with weight =',weight del newdata[id] # Check cachesize = len(newdata) if cachesize * NOM >= self.max_cachesize * DENOM: # Ok, so the smart way didn't work... if _debug: print ' Did not work, going the hard way...' newdata.clear() cachesize = 0 self.data = newdata self.cachesize = cachesize self.cuts = self.cuts + 1 def clear(self): """ Clear the cache. """ self.cachesize = 0 self.data = {} self.history = [] def get(self,id,default=NotCached, HISTORYLIMIT=HISTORYLIMIT): """ Get a value from the cache or return default if it is not cached. """ item = self.data.get(id,None) if item is None: self.misses = self.misses + 1 return default # Add "hit" self.get_history.append(id) if len(self.get_history) > HISTORYLIMIT: del self.get_history[-self.locality:] self.hits = self.hits + 1 return item def put(self,id,value,sizeof=sizeof, HISTORYLIMIT=HISTORYLIMIT): """ Add a value to the cache or update an existing one. """ size = sizeof(value) if size > self.max_elementsize: return # Adding a new entry: make sure there is room if not self.data.has_key(id): if _debug: print ' Adding',id self.cachesize = cachesize = self.cachesize + 1 if cachesize > self.max_cachesize: self.cut() self.data[id] = value self.put_history.append(id) if len(self.put_history) > HISTORYLIMIT: del self.put_history[-self.locality:] # Aliases add = put update = put def delete(self,id): """ Delete an entry from the cache. It is not an error, if the entry is not currently in the cache. """ try: del self.data[id] except KeyError: pass # Aliases remove = delete ### if __name__ == '__main__': c = Cache(10,100,locality=17) i = 1 while 1: print 'Round',i,c.cachesize,c.cuts,c.misses,c.data.keys(); i = i + 1 c.put(1,2) c.get(1) c.get(1) c.put(5,2) c.get(5) c.put(2,2) c.put(3,2) c.get(2) c.get(3) c.put(2,3) c.put(3,'x'*200) c.get(2) c.get(3) c.get(2) c.put(4,2) c.get(4,2) c.get(4,2) c.get(4,2) # Add noise c.put(i,'x') c.put(i * 2,'x') c.put(i * 3,'x') c.get(i)