jcalderonejcalderonejcalderonepygame's API for initializing a display has a couple attractive sounding flags. Or at least, they sound attractive once you notice that updating your 320x240 window at 30fps is consuming all available cycles on your brand new Intel i9 CPU. They're HWSURFACE and DOUBLEBUF. Hardware surfaces and double buffering is how you make graphics fast, right?
Well... no. You probably can't get a hardware surface anyway, and double buffering is unlikely to help until you figure out how to have a window larger than 320x240 anyway.
What you really need to do to get reasonable rendering performance is make sure that any images you blit to the display have the same color depth. You can do this with the Surface.convert method (you get back a Surface when you load an image from a file, eg a png or a gif). Check the depth of your display surface and then convert your image surfaces to that depth (and just keep the converted versions). Blitting them will get hundreds of times faster.
It's a pretty simple thing, but it's easy to get distracted by HWSURFACE and not notice the depth mismatch (like I did for three days).
jcalderoneUSER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND exarkun 5621 8.9 12.1 275416 251248 ? Rl 2009 70025:19 /usr/bin/python /usr/bin/twistd -f infobot.tap
jcalderonejcalderonejcalderonejcalderoneJSONEncoder.iterencode method, I thought it would be great used in combination with cooperate to create a producer. This would let an application serialize a large structure to JSON without multiple processes, threads, or unreasonably blocking the reactor.
from json import JSONEncoder
from twisted.internet.task import cooperate
class AsyncJSON(object):
def __init__(self, value):
self._value = value
def beginProducing(self, consumer):
self._consumer = consumer
self._iterable = JSONEncoder().iterencode(self._value)
self._consumer.registerProducer(self, True)
self._task = cooperate(self._produce())
d = self._task.whenDone()
d.addBoth(self._unregister)
return d
def pauseProducing(self):
self._task.pause()
def resumeProducing(self):
self._task.resume()
def stopProducing(self):
self._task.stop()
def _produce(self):
for chunk in self._iterable:
self._consumer.write(chunk)
yield None
def _unregister(self, passthrough):
self._consumer.unregisterProducer()
return passthrough
iterencode method, this avoids spending too much time generating json output at once. Instead, a little bit of the input will be serialized at a time, and each short resulting string is available from the iterator returned by iterencode.cooperate, the _produce generator will iterated in a way that lets it cooperate with the reactor and other event sources/handlers. A few chunks of json data will be written to the consumer, then execution will switch away to something else, then come back and a few more will be written, and so on.AsyncJSON in a resource:
from twisted.web.resource import Resource
from twisted.web.server import NOT_DONE_YET
class BigIntegerList(Resource):
def render_GET(self, request):
length = int(request.args['length'][0])
d = AsyncJSON(range(length)).beginProducing(request)
d.addCallback(lambda ignored: request.finish())
return NOT_DONE_YET
jcalderonejcalderone
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