Low-hanging performance improvements #5664
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Instantiating Paths is expensive, but they aren't mutable, so just reuse when possible. WeakValueDictionaries are expensive to construct. We can fix that by handling the weakrefs ourself.
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I think this is finally ready-to-merge. |
| # turn the weakkey dictionary into a normal dictionary | ||
| d['_parents'] = dict(six.iteritems(self._parents)) | ||
| # turn the dictionary with weak values into a normal dictionary | ||
| d['_parents'] = dict((k, v()) for (k, v) in |
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Does this need a check that v() returns an active ref?
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I currently check on deserializing (__setstate__) where you have to deal with it. No real need to do it in both places unless we really care about the size of the serialization.
tacaswell
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Dec 22, 2015
PRF: Low-hanging performance improvements
| @@ -93,6 +93,8 @@ | |||
| (TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN, | |||
| CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN) = list(xrange(8)) | |||
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| _empty_path = Path(np.empty((0, 2))) | |||
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FWIW, there is a fast instantiation route for Paths: https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/path.py#L173.
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Instantiating Paths is expensive, but they aren't mutable, so just reuse
when possible.
WeakValueDictionaries are expensive to construct. We can fix that by
handling the weakrefs ourself.
And
cbook.popallhas no reason to exist. Maybe someone's using it and it should stay, but no one should be using it.On my benchmark of:
I get a speedup from 5.04s to 3.81s.