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+"""Thread-local objects.
+
+(Note that this module provides a Python version of the threading.local
+ class. Depending on the version of Python you're using, there may be a
+ faster one available. You should always import the `local` class from
+ `threading`.)
+
+Thread-local objects support the management of thread-local data.
+If you have data that you want to be local to a thread, simply create
+a thread-local object and use its attributes:
+
+ >>> mydata = local()
+ >>> mydata.number = 42
+ >>> mydata.number
+ 42
+
+You can also access the local-object's dictionary:
+
+ >>> mydata.__dict__
+ {'number': 42}
+ >>> mydata.__dict__.setdefault('widgets', [])
+ []
+ >>> mydata.widgets
+ []
+
+What's important about thread-local objects is that their data are
+local to a thread. If we access the data in a different thread:
+
+ >>> log = []
+ >>> def f():
+ ... items = mydata.__dict__.items()
+ ... items.sort()
+ ... log.append(items)
+ ... mydata.number = 11
+ ... log.append(mydata.number)
+
+ >>> import threading
+ >>> thread = threading.Thread(target=f)
+ >>> thread.start()
+ >>> thread.join()
+ >>> log
+ [[], 11]
+
+we get different data. Furthermore, changes made in the other thread
+don't affect data seen in this thread:
+
+ >>> mydata.number
+ 42
+
+Of course, values you get from a local object, including a __dict__
+attribute, are for whatever thread was current at the time the
+attribute was read. For that reason, you generally don't want to save
+these values across threads, as they apply only to the thread they
+came from.
+
+You can create custom local objects by subclassing the local class:
+
+ >>> class MyLocal(local):
+ ... number = 2
+ ... initialized = False
+ ... def __init__(self, **kw):
+ ... if self.initialized:
+ ... raise SystemError('__init__ called too many times')
+ ... self.initialized = True
+ ... self.__dict__.update(kw)
+ ... def squared(self):
+ ... return self.number ** 2
+
+This can be useful to support default values, methods and
+initialization. Note that if you define an __init__ method, it will be
+called each time the local object is used in a separate thread. This
+is necessary to initialize each thread's dictionary.
+
+Now if we create a local object:
+
+ >>> mydata = MyLocal(color='red')
+
+Now we have a default number:
+
+ >>> mydata.number
+ 2
+
+an initial color:
+
+ >>> mydata.color
+ 'red'
+ >>> del mydata.color
+
+And a method that operates on the data:
+
+ >>> mydata.squared()
+ 4
+
+As before, we can access the data in a separate thread:
+
+ >>> log = []
+ >>> thread = threading.Thread(target=f)
+ >>> thread.start()
+ >>> thread.join()
+ >>> log
+ [[('color', 'red'), ('initialized', True)], 11]
+
+without affecting this thread's data:
+
+ >>> mydata.number
+ 2
+ >>> mydata.color
+ Traceback (most recent call last):
+ ...
+ AttributeError: 'MyLocal' object has no attribute 'color'
+
+Note that subclasses can define slots, but they are not thread
+local. They are shared across threads:
+
+ >>> class MyLocal(local):
+ ... __slots__ = 'number'
+
+ >>> mydata = MyLocal()
+ >>> mydata.number = 42
+ >>> mydata.color = 'red'
+
+So, the separate thread:
+
+ >>> thread = threading.Thread(target=f)
+ >>> thread.start()
+ >>> thread.join()
+
+affects what we see:
+
+ >>> mydata.number
+ 11
+
+>>> del mydata
+"""
+
+__all__ = ["local"]
+
+# We need to use objects from the threading module, but the threading
+# module may also want to use our `local` class, if support for locals
+# isn't compiled in to the `thread` module. This creates potential problems
+# with circular imports. For that reason, we don't import `threading`
+# until the bottom of this file (a hack sufficient to worm around the
+# potential problems). Note that almost all platforms do have support for
+# locals in the `thread` module, and there is no circular import problem
+# then, so problems introduced by fiddling the order of imports here won't
+# manifest on most boxes.
+
+class _localbase(object):
+ __slots__ = '_local__key', '_local__args', '_local__lock'
+
+ def __new__(cls, *args, **kw):
+ self = object.__new__(cls)
+ key = '_local__key', 'thread.local.' + str(id(self))
+ object.__setattr__(self, '_local__key', key)
+ object.__setattr__(self, '_local__args', (args, kw))
+ object.__setattr__(self, '_local__lock', RLock())
+
+ if (args or kw) and (cls.__init__ is object.__init__):
+ raise TypeError("Initialization arguments are not supported")
+
+ # We need to create the thread dict in anticipation of
+ # __init__ being called, to make sure we don't call it
+ # again ourselves.
+ dict = object.__getattribute__(self, '__dict__')
+ current_thread().__dict__[key] = dict
+
+ return self
+
+def _patch(self):
+ key = object.__getattribute__(self, '_local__key')
+ d = current_thread().__dict__.get(key)
+ if d is None:
+ d = {}
+ current_thread().__dict__[key] = d
+ object.__setattr__(self, '__dict__', d)
+
+ # we have a new instance dict, so call out __init__ if we have
+ # one
+ cls = type(self)
+ if cls.__init__ is not object.__init__:
+ args, kw = object.__getattribute__(self, '_local__args')
+ cls.__init__(self, *args, **kw)
+ else:
+ object.__setattr__(self, '__dict__', d)
+
+class local(_localbase):
+
+ def __getattribute__(self, name):
+ lock = object.__getattribute__(self, '_local__lock')
+ lock.acquire()
+ try:
+ _patch(self)
+ return object.__getattribute__(self, name)
+ finally:
+ lock.release()
+
+ def __setattr__(self, name, value):
+ if name == '__dict__':
+ raise AttributeError(
+ "%r object attribute '__dict__' is read-only"
+ % self.__class__.__name__)
+ lock = object.__getattribute__(self, '_local__lock')
+ lock.acquire()
+ try:
+ _patch(self)
+ return object.__setattr__(self, name, value)
+ finally:
+ lock.release()
+
+ def __delattr__(self, name):
+ if name == '__dict__':
+ raise AttributeError(
+ "%r object attribute '__dict__' is read-only"
+ % self.__class__.__name__)
+ lock = object.__getattribute__(self, '_local__lock')
+ lock.acquire()
+ try:
+ _patch(self)
+ return object.__delattr__(self, name)
+ finally:
+ lock.release()
+
+ def __del__(self):
+ import threading
+
+ key = object.__getattribute__(self, '_local__key')
+
+ try:
+ # We use the non-locking API since we might already hold the lock
+ # (__del__ can be called at any point by the cyclic GC).
+ threads = threading._enumerate()
+ except:
+ # If enumerating the current threads fails, as it seems to do
+ # during shutdown, we'll skip cleanup under the assumption
+ # that there is nothing to clean up.
+ return
+
+ for thread in threads:
+ try:
+ __dict__ = thread.__dict__
+ except AttributeError:
+ # Thread is dying, rest in peace.
+ continue
+
+ if key in __dict__:
+ try:
+ del __dict__[key]
+ except KeyError:
+ pass # didn't have anything in this thread
+
+from threading import current_thread, RLock