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authorGuido van Rossum <guido@python.org>1991-04-07 13:41:50 +0000
committerGuido van Rossum <guido@python.org>1991-04-07 13:41:50 +0000
commitb06455d66b2ffd4e8b021d21cfcff0ff923deb29 (patch)
tree7aaca4e789dd1394d8eff7484dfced08a635983f /Lib/sched.py
parentae03bde167bffb78adfdd0575d16976b7cbc7db1 (diff)
downloadcpython-b06455d66b2ffd4e8b021d21cfcff0ff923deb29.tar.gz
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+# Module sched -- a generally useful event scheduler class
+
+# Each instance of this class manages its own queue.
+# No multi-threading is implied; you are supposed to hack that
+# yourself, or use a single instance per application.
+#
+# Each instance is parametrized with two functions, one that is
+# supposed to return the current time, one that is supposed to
+# implement a delay. You can implement fine- or course-grained
+# real-time scheduling by substituting time and sleep or millitimer
+# and millisleep from the built-in module time, or you can implement
+# simulated time by writing your own functions. This can also be
+# used to integrate scheduling with STDWIN events; the delay function
+# is allowed to modify the queue. Time can be expressed
+# as integers or floating point numbers, as long as it is consistent.
+
+# Events are specified by tuples (time, priority, action, argument).
+# As in UNIX, lower priority numbers mean higher priority; in this
+# way the queue can be maintained fully sorted. Execution of the
+# event means calling the action function, passing it the argument.
+# Remember that in Python, multiple function arguments can be packed
+# in a tuple. The action function may be an instance method so it
+# has another way to reference private data (besides global variables).
+# Parameterless functions or methods cannot be used, however.
+
+class scheduler():
+ #
+ # Initialize a new instance, passing the time and delay functions
+ #
+ def init(self, (timefunc, delayfunc)):
+ self.queue = []
+ self.timefunc = timefunc
+ self.delayfunc = delayfunc
+ return self
+ #
+ # Enter a new event in the queue at an absolute time.
+ # Returns an ID for the event which can be used
+ # to remove it, if necessary.
+ #
+ def enterabs(self, event):
+ time, priority, action, argument = event
+ q = self.queue
+ # XXX Could use bisection or linear interpolation?
+ for i in range(len(q)):
+ qtime, qpri, qact, qarg = q[i]
+ if time < qtime: break
+ if time = qtime and priority < qpri: break
+ else:
+ i = len(q)
+ q.insert(i, event)
+ return event # The ID
+ #
+ # A variant that specifies the time as a relative time.
+ # This is actually the more commonly used interface.
+ #
+ def enter(self, (delay, priority, action, argument)):
+ time = self.timefunc() + delay
+ return self.enterabs(time, priority, action, argument)
+ #
+ # Remove an event from the queue.
+ # This must be presented the ID as returned by enter().
+ # If the event is not in the queue, this raises RuntimeError.
+ #
+ def cancel(self, event):
+ self.queue.remove(event)
+ #
+ # Check whether the queue is empty.
+ #
+ def empty(self):
+ return len(self.queue) = 0
+ #
+ # Run: execute events until the queue is empty.
+ #
+ # When there is a positive delay until the first event, the
+ # delay function is called and the event is left in the queue;
+ # otherwise, the event is removed from the queue and executed
+ # (its action function is called, passing it the argument).
+ # If the delay function returns prematurely, it is simply
+ # restarted.
+ #
+ # It is legal for both the delay function and the action
+ # function to to modify the queue or to raise an exception;
+ # exceptions are not caught but the scheduler's state
+ # remains well-defined so run() may be called again.
+ #
+ def run(self):
+ q = self.queue
+ while q:
+ time, priority, action, argument = q[0]
+ now = self.timefunc()
+ if now < time:
+ self.delayfunc(time - now)
+ else:
+ del q[0]
+ void = action(argument)
+ #