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python2.7
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weakref.py
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"""Weak reference support for Python. This module is an implementation of PEP 205: http://www.python.org/dev/peps/pep-0205/ """ # Naming convention: Variables named "wr" are weak reference objects; # they are called this instead of "ref" to avoid name collisions with # the module-global ref() function imported from _weakref. import UserDict from _weakref import ( getweakrefcount, getweakrefs, ref, proxy, CallableProxyType, ProxyType, ReferenceType, _remove_dead_weakref) from _weakrefset import WeakSet, _IterationGuard from exceptions import ReferenceError ProxyTypes = (ProxyType, CallableProxyType) __all__ = ["ref", "proxy", "getweakrefcount", "getweakrefs", "WeakKeyDictionary", "ReferenceError", "ReferenceType", "ProxyType", "CallableProxyType", "ProxyTypes", "WeakValueDictionary", 'WeakSet'] class WeakValueDictionary(UserDict.UserDict): """Mapping class that references values weakly. Entries in the dictionary will be discarded when no strong reference to the value exists anymore """ # We inherit the constructor without worrying about the input # dictionary; since it uses our .update() method, we get the right # checks (if the other dictionary is a WeakValueDictionary, # objects are unwrapped on the way out, and we always wrap on the # way in). def __init__(*args, **kw): if not args: raise TypeError("descriptor '__init__' of 'WeakValueDictionary' " "object needs an argument") self = args[0] args = args[1:] if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) def remove(wr, selfref=ref(self), _atomic_removal=_remove_dead_weakref): self = selfref() if self is not None: if self._iterating: self._pending_removals.append(wr.key) else: # Atomic removal is necessary since this function # can be called asynchronously by the GC _atomic_removal(self.data, wr.key) self._remove = remove # A list of keys to be removed self._pending_removals = [] self._iterating = set() UserDict.UserDict.__init__(self, *args, **kw) def _commit_removals(self): l = self._pending_removals d = self.data # We shouldn't encounter any KeyError, because this method should # always be called *before* mutating the dict. while l: key = l.pop() _remove_dead_weakref(d, key) def __getitem__(self, key): if self._pending_removals: self._commit_removals() o = self.data[key]() if o is None: raise KeyError, key else: return o def __delitem__(self, key): if self._pending_removals: self._commit_removals() del self.data[key] def __contains__(self, key): if self._pending_removals: self._commit_removals() try: o = self.data[key]() except KeyError: return False return o is not None def has_key(self, key): if self._pending_removals: self._commit_removals() try: o = self.data[key]() except KeyError: return False return o is not None def __repr__(self): return "<WeakValueDictionary at %s>" % id(self) def __setitem__(self, key, value): if self._pending_removals: self._commit_removals() self.data[key] = KeyedRef(value, self._remove, key) def clear(self): if self._pending_removals: self._commit_removals() self.data.clear() def copy(self): if self._pending_removals: self._commit_removals() new = WeakValueDictionary() for key, wr in self.data.items(): o = wr() if o is not None: new[key] = o return new __copy__ = copy def __deepcopy__(self, memo): from copy import deepcopy if self._pending_removals: self._commit_removals() new = self.__class__() for key, wr in self.data.items(): o = wr() if o is not None: new[deepcopy(key, memo)] = o return new def get(self, key, default=None): if self._pending_removals: self._commit_removals() try: wr = self.data[key] except KeyError: return default else: o = wr() if o is None: # This should only happen return default else: return o def items(self): if self._pending_removals: self._commit_removals() L = [] for key, wr in self.data.items(): o = wr() if o is not None: L.append((key, o)) return L def iteritems(self): if self._pending_removals: self._commit_removals() with _IterationGuard(self): for wr in self.data.itervalues(): value = wr() if value is not None: yield wr.key, value def iterkeys(self): if self._pending_removals: self._commit_removals() with _IterationGuard(self): for k in self.data.iterkeys(): yield k __iter__ = iterkeys def itervaluerefs(self): """Return an iterator that yields the weak references to the values. The references are not guaranteed to be 'live' at the time they are used, so the result of calling the references needs to be checked before being used. This can be used to avoid creating references that will cause the garbage collector to keep the values around longer than needed. """ if self._pending_removals: self._commit_removals() with _IterationGuard(self): for wr in self.data.itervalues(): yield wr def itervalues(self): if self._pending_removals: self._commit_removals() with _IterationGuard(self): for wr in self.data.itervalues(): obj = wr() if obj is not None: yield obj def popitem(self): if self._pending_removals: self._commit_removals() while 1: key, wr = self.data.popitem() o = wr() if o is not None: return key, o def pop(self, key, *args): if self._pending_removals: self._commit_removals() try: o = self.data.pop(key)() except KeyError: o = None if o is None: if args: return args[0] else: raise KeyError, key else: return o def setdefault(self, key, default=None): if self._pending_removals: self._commit_removals() try: o = self.data[key]() except KeyError: o = None if o is None: self.data[key] = KeyedRef(default, self._remove, key) return default else: return o def update(*args, **kwargs): if not args: raise TypeError("descriptor 'update' of 'WeakValueDictionary' " "object needs an argument") self = args[0] args = args[1:] if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) dict = args[0] if args else None if self._pending_removals: self._commit_removals() d = self.data if dict is not None: if not hasattr(dict, "items"): dict = type({})(dict) for key, o in dict.items(): d[key] = KeyedRef(o, self._remove, key) if len(kwargs): self.update(kwargs) def valuerefs(self): """Return a list of weak references to the values. The references are not guaranteed to be 'live' at the time they are used, so the result of calling the references needs to be checked before being used. This can be used to avoid creating references that will cause the garbage collector to keep the values around longer than needed. """ if self._pending_removals: self._commit_removals() return self.data.values() def values(self): if self._pending_removals: self._commit_removals() L = [] for wr in self.data.values(): o = wr() if o is not None: L.append(o) return L class KeyedRef(ref): """Specialized reference that includes a key corresponding to the value. This is used in the WeakValueDictionary to avoid having to create a function object for each key stored in the mapping. A shared callback object can use the 'key' attribute of a KeyedRef instead of getting a reference to the key from an enclosing scope. """ __slots__ = "key", def __new__(type, ob, callback, key): self = ref.__new__(type, ob, callback) self.key = key return self def __init__(self, ob, callback, key): super(KeyedRef, self).__init__(ob, callback) class WeakKeyDictionary(UserDict.UserDict): """ Mapping class that references keys weakly. Entries in the dictionary will be discarded when there is no longer a strong reference to the key. This can be used to associate additional data with an object owned by other parts of an application without adding attributes to those objects. This can be especially useful with objects that override attribute accesses. """ def __init__(self, dict=None): self.data = {} def remove(k, selfref=ref(self)): self = selfref() if self is not None: if self._iterating: self._pending_removals.append(k) else: del self.data[k] self._remove = remove # A list of dead weakrefs (keys to be removed) self._pending_removals = [] self._iterating = set() if dict is not None: self.update(dict) def _commit_removals(self): # NOTE: We don't need to call this method before mutating the dict, # because a dead weakref never compares equal to a live weakref, # even if they happened to refer to equal objects. # However, it means keys may already have been removed. l = self._pending_removals d = self.data while l: try: del d[l.pop()] except KeyError: pass def __delitem__(self, key): del self.data[ref(key)] def __getitem__(self, key): return self.data[ref(key)] def __repr__(self): return "<WeakKeyDictionary at %s>" % id(self) def __setitem__(self, key, value): self.data[ref(key, self._remove)] = value def copy(self): new = WeakKeyDictionary() for key, value in self.data.items(): o = key() if o is not None: new[o] = value return new __copy__ = copy def __deepcopy__(self, memo): from copy import deepcopy new = self.__class__() for key, value in self.data.items(): o = key() if o is not None: new[o] = deepcopy(value, memo) return new def get(self, key, default=None): return self.data.get(ref(key),default) def has_key(self, key): try: wr = ref(key) except TypeError: return 0 return wr in self.data def __contains__(self, key): try: wr = ref(key) except TypeError: return 0 return wr in self.data def items(self): L = [] for key, value in self.data.items(): o = key() if o is not None: L.append((o, value)) return L def iteritems(self): with _IterationGuard(self): for wr, value in self.data.iteritems(): key = wr() if key is not None: yield key, value def iterkeyrefs(self): """Return an iterator that yields the weak references to the keys. The references are not guaranteed to be 'live' at the time they are used, so the result of calling the references needs to be checked before being used. This can be used to avoid creating references that will cause the garbage collector to keep the keys around longer than needed. """ with _IterationGuard(self): for wr in self.data.iterkeys(): yield wr def iterkeys(self): with _IterationGuard(self): for wr in self.data.iterkeys(): obj = wr() if obj is not None: yield obj __iter__ = iterkeys def itervalues(self): with _IterationGuard(self): for value in self.data.itervalues(): yield value def keyrefs(self): """Return a list of weak references to the keys. The references are not guaranteed to be 'live' at the time they are used, so the result of calling the references needs to be checked before being used. This can be used to avoid creating references that will cause the garbage collector to keep the keys around longer than needed. """ return self.data.keys() def keys(self): L = [] for wr in self.data.keys(): o = wr() if o is not None: L.append(o) return L def popitem(self): while 1: key, value = self.data.popitem() o = key() if o is not None: return o, value def pop(self, key, *args): return self.data.pop(ref(key), *args) def setdefault(self, key, default=None): return self.data.setdefault(ref(key, self._remove),default) def update(self, dict=None, **kwargs): d = self.data if dict is not None: if not hasattr(dict, "items"): dict = type({})(dict) for key, value in dict.items(): d[ref(key, self._remove)] = value if len(kwargs): self.update(kwargs)