Docs for cache.ram.class

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Description

<type 'type'> extends (<class 'gluon.cache.CacheAbstract'>,)


    Ram based caching

    This is implemented as global (per process, shared by all threads)
    dictionary.
    A mutex-lock mechanism avoid conflicts.

Attributes


cache.ram.__class__.__call__	<type 'instancemethod'> belongs to class <type 'instancemethod'> Attention! cache.ram does not copy the cached object. It just stores a reference to it. Turns out the deepcopying the object has some problems: - would break backward compatibility - would be limiting because people may want to cache live objects - would work unless we deepcopy no storage and retrival which would make things slow. Anyway. You can deepcopy explicitly in the function generating the value to be cached.

cache.ram.__class__.__class__	<type 'type'> extends (<type 'object'>,) belongs to class <type 'type'> type(object) -> the object's type type(name, bases, dict) -> a new type

cache.ram.__class__.__delattr__	<type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'> x.__delattr__('name') <==> del x.name

cache.ram.__class__.__dict__	<type 'dictproxy'> belongs to class <type 'dictproxy'>

cache.ram.__class__.__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.ram.__class__.__format__	<type 'method_descriptor'> belongs to class <type 'method_descriptor'> default object formatter

cache.ram.__class__.__getattribute__	<type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'> x.__getattribute__('name') <==> x.name

cache.ram.__class__.__hash__	<type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'> x.__hash__() <==> hash(x)

cache.ram.__class__.__init__	<type 'instancemethod'> belongs to class <type 'instancemethod'>

cache.ram.__class__.__module__	<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.ram.__class__.__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.ram.__class__.__reduce__	<type 'method_descriptor'> belongs to class <type 'method_descriptor'> helper for pickle

cache.ram.__class__.__reduce_ex__	<type 'method_descriptor'> belongs to class <type 'method_descriptor'> helper for pickle

cache.ram.__class__.__repr__	<type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'> x.__repr__() <==> repr(x)

cache.ram.__class__.__setattr__	<type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'> x.__setattr__('name', value) <==> x.name = value

cache.ram.__class__.__sizeof__	<type 'method_descriptor'> belongs to class <type 'method_descriptor'> __sizeof__() -> int size of object in memory, in bytes

cache.ram.__class__.__str__	<type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'> x.__str__() <==> str(x)

cache.ram.__class__.__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.ram.__class__.__weakref__	<type 'getset_descriptor'> belongs to class <type 'getset_descriptor'> list of weak references to the object (if defined)

cache.ram.__class__._clear	<type 'instancemethod'> belongs to class <type 'instancemethod'> Auxiliary function called by `clear` to search and clear cache entries

cache.ram.__class__.cache_stats_name	<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.ram.__class__.clear	<type 'instancemethod'> belongs to class <type 'instancemethod'>

cache.ram.__class__.increment	<type 'instancemethod'> belongs to class <type 'instancemethod'>

cache.ram.__class__.initialize	<type 'instancemethod'> belongs to class <type 'instancemethod'>

cache.ram.__class__.locker	<type 'thread.lock'> belongs to class <type 'thread.lock'> A lock object is a synchronization primitive. To create a lock, call the PyThread_allocate_lock() function. Methods are: acquire() -- lock the lock, possibly blocking until it can be obtained release() -- unlock of the lock locked() -- test whether the lock is currently locked A lock is not owned by the thread that locked it; another thread may unlock it. A thread attempting to lock a lock that it has already locked will block until another thread unlocks it. Deadlocks may ensue.

cache.ram.__class__.max_ram_utilization	<type 'NoneType'> belongs to class <type 'NoneType'>

cache.ram.__class__.meta_storage	<type 'dict'> belongs to class <type 'dict'> dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

cache.ram.__class__.stats	<type 'dict'> belongs to class <type 'dict'> dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

Docs for cache.ram.__class__

Description

Attributes

Docs for cache.ram.class