1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
|
"""Weak reference support for Python.
This module is an implementation of PEP 205:
http://python.sourceforge.net/peps/pep-0205.html
"""
# 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)
from exceptions import ReferenceError
ProxyTypes = (ProxyType, CallableProxyType)
__all__ = ["ref", "proxy", "getweakrefcount", "getweakrefs",
"WeakKeyDictionary", "ReferenceType", "ProxyType",
"CallableProxyType", "ProxyTypes", "WeakValueDictionary"]
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__(self, *args, **kw):
def remove(wr, selfref=ref(self)):
self = selfref()
if self is not None:
del self.data[wr.key]
self._remove = remove
UserDict.UserDict.__init__(self, *args, **kw)
def __getitem__(self, key):
o = self.data[key]()
if o is None:
raise KeyError, key
else:
return o
def __contains__(self, key):
try:
o = self.data[key]()
except KeyError:
return False
return o is not None
def has_key(self, key):
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):
self.data[key] = KeyedRef(value, self._remove, key)
def copy(self):
new = WeakValueDictionary()
for key, wr in self.data.items():
o = wr()
if o is not None:
new[key] = o
return new
def get(self, key, default=None):
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):
L = []
for key, wr in self.data.items():
o = wr()
if o is not None:
L.append((key, o))
return L
def iteritems(self):
for wr in self.data.itervalues():
value = wr()
if value is not None:
yield wr.key, value
def iterkeys(self):
return self.data.iterkeys()
def __iter__(self):
return self.data.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.
"""
return self.data.itervalues()
def itervalues(self):
for wr in self.data.itervalues():
obj = wr()
if obj is not None:
yield obj
def popitem(self):
while 1:
key, wr = self.data.popitem()
o = wr()
if o is not None:
return key, o
def pop(self, key, *args):
try:
o = self.data.pop(key)()
except KeyError:
if args:
return args[0]
raise
if o is None:
raise KeyError, key
else:
return o
def setdefault(self, key, default=None):
try:
wr = self.data[key]
except KeyError:
self.data[key] = KeyedRef(default, self._remove, key)
return default
else:
return wr()
def update(self, dict=None, **kwargs):
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.
"""
return self.data.values()
def values(self):
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:
del self.data[k]
self._remove = remove
if dict is not None: self.update(dict)
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
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):
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.
"""
return self.data.iterkeys()
def iterkeys(self):
for wr in self.data.iterkeys():
obj = wr()
if obj is not None:
yield obj
def __iter__(self):
return self.iterkeys()
def itervalues(self):
return self.data.itervalues()
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)
|