openpathsampling.netcdfplus.cache.WeakKeyCache

class openpathsampling.netcdfplus.cache.WeakKeyCache(dict=None)

Implements a cache that keeps weak references to all elements

__init__(dict=None)

Methods

__init__([dict])
clear()
copy()
get(k[,d])
get_silent(item[, default])	get value by key if it exists, None else
items()
keyrefs()	Return a list of weak references to the keys.
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
setdefault(k[,d])
transfer(old_cache)	Transfer values between caches
update([E, ]**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()

Attributes

count	the number of strong references int : the number of weak references
size	the maximal number of strong references, -1 if infinite int : the maximal number of weak references, -1 if infinite