Added optional lock parameter to condition class.
Added mrsw (multiple-reader-single-writer) lock.
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@ -1,16 +1,23 @@
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# Defines classes that provide synchronization objects. Note that use of
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# this module requires that your Python support threads.
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#
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# condition() # a POSIX-like condition-variable object
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# barrier(n) # an n-thread barrier
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# event() # an event object
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# semaphore(n=1)# a semaphore object, with initial count n
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# condition(lock=None) # a POSIX-like condition-variable object
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# barrier(n) # an n-thread barrier
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# event() # an event object
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# semaphore(n=1) # a semaphore object, with initial count n
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# mrsw() # a multiple-reader single-writer lock
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#
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# CONDITIONS
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#
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# A condition object is created via
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# import this_module
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# your_condition_object = this_module.condition()
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# your_condition_object = this_module.condition(lock=None)
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#
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# As explained below, a condition object has a lock associated with it,
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# used in the protocol to protect condition data. You can specify a
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# lock to use in the constructor, else the constructor will allocate
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# an anonymous lock for you. Specifying a lock explicitly can be useful
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# when more than one condition keys off the same set of shared data.
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#
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# Methods:
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# .acquire()
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@ -209,13 +216,63 @@
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# any) blocked by a .p(). It's an (detected) error for a .v() to
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# increase the semaphore's count to a value larger than the initial
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# count.
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#
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# MULTIPLE-READER SINGLE-WRITER LOCKS
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#
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# A mrsw lock is created via
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# import this_module
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# your_mrsw_lock = this_module.mrsw()
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#
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# This kind of lock is often useful with complex shared data structures.
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# The object lets any number of "readers" proceed, so long as no thread
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# wishes to "write". When a (one or more) thread declares its intention
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# to "write" (e.g., to update a shared structure), all current readers
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# are allowed to finish, and then a writer gets exclusive access; all
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# other readers & writers are blocked until the current writer completes.
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# Finally, if some thread is waiting to write and another is waiting to
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# read, the writer takes precedence.
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#
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# Methods:
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#
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# .read_in()
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# If no thread is writing or waiting to write, returns immediately.
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# Else blocks until no thread is writing or waiting to write. So
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# long as some thread has completed a .read_in but not a .read_out,
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# writers are blocked.
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#
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# .read_out()
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# Use sometime after a .read_in to declare that the thread is done
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# reading. When all threads complete reading, a writer can proceed.
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#
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# .write_in()
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# If no thread is writing (has completed a .write_in, but hasn't yet
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# done a .write_out) or reading (similarly), returns immediately.
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# Else blocks the calling thread, and threads waiting to read, until
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# the current writer completes writing or all the current readers
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# complete reading; if then more than one thread is waiting to
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# write, one of them is allowed to proceed, but which one is not
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# specified.
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#
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# .write_out()
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# Use sometime after a .write_in to declare that the thread is done
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# writing. Then if some other thread is waiting to write, it's
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# allowed to proceed. Else all threads (if any) waiting to read are
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# allowed to proceed.
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import thread
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class condition:
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def __init__(self):
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def __init__(self, lock=None):
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# the lock actually used by .acquire() and .release()
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self.mutex = thread.allocate_lock()
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if lock is None:
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self.mutex = thread.allocate_lock()
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else:
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if hasattr(lock, 'acquire') and \
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hasattr(lock, 'release'):
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self.mutex = lock
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else:
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raise TypeError, 'condition constructor requires ' \
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'a lock argument'
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# lock used to block threads until a signal
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self.checkout = thread.allocate_lock()
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@ -357,6 +414,56 @@ class semaphore:
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self.nonzero.signal()
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self.nonzero.release()
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class mrsw:
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def __init__(self):
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# critical-section lock & the data it protects
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self.rwOK = thread.allocate_lock()
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self.nr = 0 # number readers actively reading (not just waiting)
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self.nw = 0 # number writers either waiting to write or writing
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self.writing = 0 # 1 iff some thread is writing
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# conditions
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self.readOK = condition(self.rwOK) # OK to unblock readers
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self.writeOK = condition(self.rwOK) # OK to unblock writers
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def read_in(self):
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self.rwOK.acquire()
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while self.nw:
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self.readOK.wait()
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self.nr = self.nr + 1
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self.rwOK.release()
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def read_out(self):
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self.rwOK.acquire()
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if self.nr <= 0:
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raise ValueError, \
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'.read_out() invoked without an active reader'
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self.nr = self.nr - 1
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if self.nr == 0:
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self.writeOK.signal()
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self.rwOK.release()
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def write_in(self):
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self.rwOK.acquire()
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self.nw = self.nw + 1
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while self.writing or self.nr:
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self.writeOK.wait()
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self.writing = 1
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self.rwOK.release()
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def write_out(self):
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self.rwOK.acquire()
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if not self.writing:
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raise ValueError, \
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'.write_out() invoked without an active writer'
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self.writing = 0
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self.nw = self.nw - 1
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if self.nw:
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self.writeOK.signal()
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else:
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self.readOK.broadcast()
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self.rwOK.release()
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# The rest of the file is a test case, that runs a number of parallelized
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# quicksorts in parallel. If it works, you'll get about 600 lines of
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# tracing output, with a line like
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