Docs for cache

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Description


<type 'tuple'>


tuple() -> empty tuple tuple(iterable) -> tuple initialized from iterable's items

If the argument is a tuple, the return value is the same object.



Attributes


cache.__add__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__add__(y) <==> x+y


cache.__class__ <type 'type'> extends (<type 'object'>,) belongs to class <type 'type'>

tuple() -> empty tuple tuple(iterable) -> tuple initialized from iterable's items

If the argument is a tuple, the return value is the same object.


cache.__contains__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__contains__(y) <==> y in x


cache.__delattr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__delattr__('name') <==> del x.name


cache.__doc__ <type 'str'> belongs to class <type 'str'>

str(object='') -> string

Return a nice string representation of the object. If the argument is a string, the return value is the same object.


cache.__eq__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__eq__(y) <==> x==y


cache.__format__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

default object formatter


cache.__ge__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__ge__(y) <==> x>=y


cache.__getattribute__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__getattribute__('name') <==> x.name


cache.__getitem__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__getitem__(y) <==> x[y]


cache.__getnewargs__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

cache.__getslice__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__getslice__(i, j) <==> x[i:j]

Use of negative indices is not supported.


cache.__gt__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__gt__(y) <==> x>y


cache.__hash__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__hash__() <==> hash(x)


cache.__init__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__init__(...) initializes x; see help(type(x)) for signature


cache.__iter__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__iter__() <==> iter(x)


cache.__le__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__le__(y) <==> x<=y


cache.__len__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__len__() <==> len(x)


cache.__lt__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__lt__(y) <==> x<y


cache.__mul__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__mul__(n) <==> x*n


cache.__ne__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__ne__(y) <==> x!=y


cache.__new__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.__new__(S, ...) -> a new object with type S, a subtype of T


cache.__reduce__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

helper for pickle


cache.__reduce_ex__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

helper for pickle


cache.__repr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__repr__() <==> repr(x)


cache.__rmul__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__rmul__(n) <==> n*x


cache.__setattr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__setattr__('name', value) <==> x.name = value


cache.__sizeof__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.__sizeof__() -- size of T in memory, in bytes


cache.__str__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__str__() <==> str(x)


cache.__subclasshook__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).


cache.count <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.count(value) -> integer -- return number of occurrences of value


cache.index <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.index(value, [start, [stop]]) -> integer -- return first index of value. Raises ValueError if the value is not present.