Fast and safe weak value dictionary#
AUTHORS:
Simon King (2013-10)
Nils Bruin (2013-10)
Julian Rueth (2014-03-16): improved handling of unhashable objects
Python’s weakref
module provides
WeakValueDictionary
. This behaves similar to a dictionary,
but it does not prevent its values from garbage collection. Hence, it stores
the values by weak references with callback functions: The callback function
deletes a key-value pair from the dictionary, as soon as the value becomes
subject to garbage collection.
However, a problem arises if hash and comparison of the key depend on the value that is being garbage collected:
sage: import weakref
sage: class Vals(): pass
sage: class Keys:
....: def __init__(self, val):
....: self.val = weakref.ref(val)
....: def __hash__(self):
....: return hash(self.val())
....: def __eq__(self, other):
....: return self.val() == other.val()
....: def __ne__(self, other):
....: return self.val() != other.val()
sage: ValList = [Vals() for _ in range(10)]
sage: D = weakref.WeakValueDictionary()
sage: for v in ValList:
....: D[Keys(v)] = v
sage: len(D)
10
sage: del ValList, v
sage: len(D) > 1
True
Hence, the defunct items have not been removed from the dictionary.
Therefore, Sage provides an alternative implementation
sage.misc.weak_dict.WeakValueDictionary
, using a callback that
removes the defunct item not based on hash and equality check of the key (this
is what fails in the example above), but based on comparison by identity. This
is possible, since references with callback function are distinct even if they
point to the same object. Hence, even if the same object O
occurs as value
for several keys, each reference to O
corresponds to a unique key. We see
no error messages, and the items get correctly removed:
sage: ValList = [Vals() for _ in range(10)]
sage: import sage.misc.weak_dict
sage: D = sage.misc.weak_dict.WeakValueDictionary()
sage: for v in ValList:
....: D[Keys(v)] = v
sage: len(D)
10
sage: del ValList
sage: len(D)
1
sage: del v
sage: len(D)
0
Another problem arises when iterating over the items of a dictionary: If
garbage collection occurs during iteration, then the content of the dictionary
changes, and the iteration breaks for weakref.WeakValueDictionary
:
sage: class Cycle:
....: def __init__(self):
....: self.selfref = self
sage: C = [Cycle() for n in range(10)]
sage: D = weakref.WeakValueDictionary(enumerate(C))
sage: import gc
sage: gc.disable()
sage: del C[:5]
sage: len(D)
10
With WeakValueDictionary
, the behaviour is
safer. Note that iteration over a WeakValueDictionary is non-deterministic,
since the lifetime of values (and hence the presence of keys) in the dictionary
may depend on when garbage collection occurs. The method implemented here
will at least postpone dictionary mutations due to garbage collection callbacks.
This means that as long as there is at least one iterator active on a dictionary,
none of its keys will be deallocated (which could have side-effects).
Which entries are returned is of course still dependent on when garbage
collection occurs. Note that when a key gets returned as “present” in the
dictionary, there is no guarantee one can actually retrieve its value: it may
have been garbage collected in the mean time.
The variant CachedWeakValueDictionary
additionally adds strong references to the most recently added values.
This ensures that values will not be immediately deleted after adding
them to the dictionary. This is mostly useful to implement cached
functions.
Note that Sage’s weak value dictionary is actually an instance of
dict
, in contrast to weakref
’s weak value dictionary:
sage: issubclass(weakref.WeakValueDictionary, dict)
False
sage: issubclass(sage.misc.weak_dict.WeakValueDictionary, dict)
True
See github issue #13394 for a discussion of some of the design considerations.
- class sage.misc.weak_dict.CachedWeakValueDictionary#
Bases:
WeakValueDictionary
This class extends
WeakValueDictionary
with a strong cache to the most recently added values. It is meant to solve the case where significant performance losses can occur if a value is deleted too early, but where keeping a value alive too long does not hurt much. This is typically the case with cached functions.EXAMPLES:
We illustrate the difference between
WeakValueDictionary
andCachedWeakValueDictionary
. An item is removed from aWeakValueDictionary
as soon as there are no references to it:sage: from sage.misc.weak_dict import WeakValueDictionary sage: D = WeakValueDictionary() sage: class Test(): pass sage: tmp = Test() sage: D[0] = tmp sage: 0 in D True sage: del tmp sage: 0 in D False
So, if you have a cached function repeatedly creating the same temporary object and deleting it (in a helper function called from a loop for example), this caching will not help at all. With
CachedWeakValueDictionary
, the most recently added values are not deleted. After adding enough new values, the item is removed anyway:sage: from sage.misc.weak_dict import CachedWeakValueDictionary sage: D = CachedWeakValueDictionary(cache=4) sage: class Test(): pass sage: tmp = Test() sage: D[0] = tmp sage: 0 in D True sage: del tmp sage: 0 in D True sage: for i in range(5): ....: D[1] = Test() ....: print(0 in D) True True True False False
- class sage.misc.weak_dict.WeakValueDictEraser#
Bases:
object
Erases items from a
sage.misc.weak_dict.WeakValueDictionary
when a weak reference becomes invalid.This is of internal use only. Instances of this class will be passed as a callback function when creating a weak reference.
EXAMPLES:
sage: from sage.misc.weak_dict import WeakValueDictionary sage: v = frozenset([1]) sage: D = WeakValueDictionary({1 : v}) sage: len(D) 1 sage: del v sage: len(D) 0
AUTHOR:
Nils Bruin (2013-11)
- class sage.misc.weak_dict.WeakValueDictionary#
Bases:
dict
IMPLEMENTATION:
The
WeakValueDictionary
inherits fromdict
. In its implementation, it stores weakrefs to the actual values under the keys. All access routines are wrapped to transparently place and remove these weakrefs.NOTE:
In contrast to
weakref.WeakValueDictionary
in Python’sweakref
module, the callback does not need to assume that the dictionary key is a valid Python object when it is called. There is no need to compute the hash or compare the dictionary keys. This is why the example below would not work withweakref.WeakValueDictionary
, but does work withsage.misc.weak_dict.WeakValueDictionary
.EXAMPLES:
sage: import weakref sage: class Vals(): pass sage: class Keys: ....: def __init__(self, val): ....: self.val = weakref.ref(val) ....: def __hash__(self): ....: return hash(self.val()) ....: def __eq__(self, other): ....: return self.val() == other.val() ....: def __ne__(self, other): ....: return self.val() != other.val() sage: ValList = [Vals() for _ in range(10)] sage: import sage.misc.weak_dict sage: D = sage.misc.weak_dict.WeakValueDictionary() sage: for v in ValList: ....: D[Keys(v)] = v sage: len(D) 10 sage: del ValList sage: len(D) 1 sage: del v sage: len(D) 0
- get(k, d=None)#
Return the stored value for a key, or a default value for unknown keys.
The default value defaults to
None
.EXAMPLES:
sage: import sage.misc.weak_dict sage: # needs sage.libs.pari sage: L = [GF(p) for p in prime_range(10^3)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L)) sage: 100 in D True sage: 200 in D False sage: D.get(100, "not found") Finite Field of size 547 sage: D.get(200, "not found") 'not found' sage: D.get(200) is None True
- items()#
Iterate over the items of this dictionary.
Warning
Iteration is unsafe, if the length of the dictionary changes during the iteration! This can also happen by garbage collection.
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals: ....: def __init__(self, n): ....: self.n = n ....: def __repr__(self): ....: return "<%s>" % self.n ....: def __lt__(self, other): ....: return self.n < other.n ....: def __eq__(self, other): ....: return self.n == other.n ....: def __ne__(self, other): ....: return self.val() != other.val() sage: class Keys(): ....: def __init__(self, n): ....: self.n = n ....: def __hash__(self): ....: if self.n % 2: ....: return int(5) ....: return int(3) ....: def __repr__(self): ....: return "[%s]" % self.n ....: def __lt__(self, other): ....: return self.n < other.n ....: def __eq__(self, other): ....: return self.n == other.n ....: def __ne__(self, other): ....: return self.val() != other.val() sage: L = [(Keys(n), Vals(n)) for n in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(L)
We remove one dictionary item directly. Another item is removed by means of garbage collection. By consequence, there remain eight items in the dictionary:
sage: del D[Keys(2)] sage: del L[5] sage: for k,v in sorted(D.items()): ....: print("{} {}".format(k, v)) [0] <0> [1] <1> [3] <3> [4] <4> [6] <6> [7] <7> [8] <8> [9] <9>
- items_list()#
The key-value pairs of this dictionary.
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals: ....: def __init__(self, n): ....: self.n = n ....: def __repr__(self): ....: return "<%s>" % self.n ....: def __lt__(self, other): ....: return self.n < other.n ....: def __eq__(self, other): ....: return self.n == other.n ....: def __ne__(self, other): ....: return self.val() != other.val() sage: class Keys(): ....: def __init__(self, n): ....: self.n = n ....: def __hash__(self): ....: if self.n % 2: ....: return int(5) ....: return int(3) ....: def __repr__(self): ....: return "[%s]" % self.n ....: def __lt__(self, other): ....: return self.n < other.n ....: def __eq__(self, other): ....: return self.n == other.n ....: def __ne__(self, other): ....: return self.val() != other.val() sage: L = [(Keys(n), Vals(n)) for n in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(L)
We remove one dictionary item directly. Another item is removed by means of garbage collection. By consequence, there remain eight items in the dictionary:
sage: del D[Keys(2)] sage: del L[5] sage: sorted(D.items()) [([0], <0>), ([1], <1>), ([3], <3>), ([4], <4>), ([6], <6>), ([7], <7>), ([8], <8>), ([9], <9>)]
- iteritems()#
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals(): pass sage: L = [Vals() for _ in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L)) sage: T = list(D.iteritems()) doctest:warning...: DeprecationWarning: use items instead See https://github.com/sagemath/sage/issues/34488 for details.
- itervalues()#
Deprecated.
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals(): pass sage: L = [Vals() for _ in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L)) sage: T = list(D.itervalues()) doctest:warning...: DeprecationWarning: use values instead See https://github.com/sagemath/sage/issues/34488 for details.
- keys()#
The list of keys.
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals(): pass sage: L = [Vals() for _ in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L)) sage: del L[4]
One item got deleted from the list
L
and hence the corresponding item in the dictionary got deleted as well. Therefore, the corresponding key 4 is missing in the list of keys:sage: sorted(D.keys()) [0, 1, 2, 3, 5, 6, 7, 8, 9]
- pop(k)#
Return the value for a given key, and delete it from the dictionary.
EXAMPLES:
sage: import sage.misc.weak_dict sage: # needs sage.libs.pari sage: L = [GF(p) for p in prime_range(10^3)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L)) sage: 20 in D True sage: D.pop(20) Finite Field of size 73 sage: 20 in D False sage: D.pop(20) Traceback (most recent call last): ... KeyError: 20
- popitem()#
Return and delete some item from the dictionary.
EXAMPLES:
sage: import sage.misc.weak_dict sage: D = sage.misc.weak_dict.WeakValueDictionary() sage: D[1] = ZZ
The dictionary only contains a single item, hence, it is clear which one will be returned:
sage: D.popitem() (1, Integer Ring)
Now, the dictionary is empty, and hence the next attempt to pop an item will fail with a
KeyError
:sage: D.popitem() Traceback (most recent call last): ... KeyError: 'popitem(): weak value dictionary is empty'
- setdefault(k, default=None)#
Return the stored value for a given key; return and store a default value if no previous value is stored.
EXAMPLES:
sage: import sage.misc.weak_dict sage: # needs sage.libs.pari sage: L = [(p, GF(p)) for p in prime_range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(L) sage: len(D) 4
The value for an existing key is returned and not overridden:
sage: # needs sage.libs.pari sage: D.setdefault(5, ZZ) Finite Field of size 5 sage: D[5] Finite Field of size 5
For a non-existing key, the default value is stored and returned:
sage: # needs sage.libs.pari sage: 4 in D False sage: D.setdefault(4, ZZ) Integer Ring sage: 4 in D True sage: D[4] Integer Ring sage: len(D) 5
- values()#
Iterate over the values of this dictionary.
Warning
Iteration is unsafe, if the length of the dictionary changes during the iteration! This can also happen by garbage collection.
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals: ....: def __init__(self, n): ....: self.n = n ....: def __repr__(self): ....: return "<%s>" % self.n ....: def __lt__(self, other): ....: return self.n < other.n ....: def __eq__(self, other): ....: return self.n == other.n ....: def __ne__(self, other): ....: return self.val() != other.val() sage: L = [Vals(n) for n in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L))
We delete one item from
D
and we delete one item from the listL
. The latter implies that the corresponding item fromD
gets deleted as well. Hence, there remain eight values:sage: del D[2] sage: del L[5] sage: for v in sorted(D.values()): ....: print(v) <0> <1> <3> <4> <6> <7> <8> <9>
- values_list()#
Return the list of values.
EXAMPLES:
sage: import sage.misc.weak_dict sage: class Vals: ....: def __init__(self, n): ....: self.n = n ....: def __repr__(self): ....: return "<%s>" % self.n ....: def __lt__(self, other): ....: return self.n < other.n ....: def __eq__(self, other): ....: return self.n == other.n ....: def __ne__(self, other): ....: return self.val() != other.val() sage: L = [Vals(n) for n in range(10)] sage: D = sage.misc.weak_dict.WeakValueDictionary(enumerate(L))
We delete one item from
D
and we delete one item from the listL
. The latter implies that the corresponding item fromD
gets deleted as well. Hence, there remain eight values:sage: del D[2] sage: del L[5] sage: sorted(D.values_list()) [<0>, <1>, <3>, <4>, <6>, <7>, <8>, <9>]