tf_agents.utils.object_identity.ObjectIdentityWeakKeyDictionary

Like weakref.WeakKeyDictionary, but compares objects with "is".

Inherits From: ObjectIdentityDictionary

tf_agents.utils.object_identity.ObjectIdentityWeakKeyDictionary()

Methods

clear

clear()

D.clear() -> None. Remove all items from D.

get

get(
    key, default=None
)

Retrieve the corresponding layout by the string key.

When there isn't an exact match, all the existing keys in the layout map will be treated as a regex and map against the input key again. The first match will be returned, based on the key insertion order. Return None if there isn't any match found.

Args
key	the string key as the query for the layout.

Returns
Corresponding layout based on the query.

items

items()

D.items() -> a set-like object providing a view on D's items

keys

keys()

D.keys() -> a set-like object providing a view on D's keys

pop

pop(
    key, default=__marker
)

D.pop(k[,d]) -> v, remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised.

popitem

popitem()

D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.

setdefault

setdefault(
    key, default=None
)

D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D

update

update(
    other, /, **kwds
)

D.update([E, ]**F) -> None. Update D from mapping/iterable E and F. If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values

values()

D.values() -> an object providing a view on D's values

__contains__

__contains__(
    key
)

__eq__

__eq__(
    other
)

Return self==value.

__getitem__

View source

__getitem__(
    key
)

__iter__

View source

__iter__()

__len__

View source

__len__()