Clarify optimizeimg docs; add warnings
The validator will now warn if it detects that a crushed output is fed into something that is not a crusher. The is_crusher method of an optimizer shall return True if the optimisation process is lossless, and does try to find optimal encoding parameters as opposed to only removing unneeded channels or reducing palettes.
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@@ -557,7 +557,9 @@ values. The valid configuration keys are listed below.
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The option is a list of Optimizer objects, which are then executed in
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the order in which they're specified::
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# Import the optimizers we need
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from optimizeimages import pngnq, optipng
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worlds["world"] = "/path/to/world"
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renders["daytime"] = {
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@@ -566,6 +568,10 @@ values. The valid configuration keys are listed below.
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"rendermode":smooth_lighting,
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"optimizeimg":[pngnq(sampling=1), optipng(olevel=3)],
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}
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.. note::
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Don't forget to import the optimizers you use in your config file, as shown in the
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example above.
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Here is a list of supported image optimization programs:
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@@ -612,8 +618,9 @@ values. The valid configuration keys are listed below.
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**Default:** ``2``
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``pngcrush``
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pngcrush is very slow and not very good, you should use optipng in probably all cases.
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However, Overviewer still allows you to use it because we're nice people like that.
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pngcrush, like optipng, is a lossless PNG recompressor. If you are able to do so, it
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is recommended to use optipng instead, as it generally yields better results in less
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time.
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Available settings:
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``brute``
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@@ -626,10 +633,6 @@ values. The valid configuration keys are listed below.
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**Default:** ``False``
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.. note::
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Don't forget to import the optimizers you use in your settings file, as shown in the
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example above.
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**Default:** ``[]``
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``bgcolor``
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@@ -39,6 +39,10 @@ class Optimizer:
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if (not exists_in_path(self.binaryname)) and (not exists_in_path(self.binaryname + ".exe")):
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raise Exception("Optimization program '%s' was not found!" % self.binaryname)
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def is_crusher(self):
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"""Should return True if the optimization is lossless, i.e. none of the actual image data will be changed."""
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raise NotImplementedError("I'm so abstract I can't even say whether I'm a crusher.")
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class NonAtomicOptimizer(Optimizer):
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@@ -84,6 +88,9 @@ class pngnq(NonAtomicOptimizer, PNGOptimizer):
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NonAtomicOptimizer.fire_and_forget(self, args, img)
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def is_crusher(self):
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return False
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class pngcrush(NonAtomicOptimizer, PNGOptimizer):
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binaryname = "pngcrush"
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# really can't be bothered to add some interface for all
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@@ -98,6 +105,9 @@ class pngcrush(NonAtomicOptimizer, PNGOptimizer):
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NonAtomicOptimizer.fire_and_forget(self, args, img)
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def is_crusher(self):
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return True
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class optipng(Optimizer, PNGOptimizer):
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binaryname = "optipng"
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@@ -106,6 +116,9 @@ class optipng(Optimizer, PNGOptimizer):
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def optimize(self, img):
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Optimizer.fire_and_forget(self, [self.binaryname, "-o" + str(self.olevel), "-quiet", img])
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def is_crusher(self):
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return True
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def optimize_image(imgpath, imgformat, optimizers):
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@@ -160,16 +160,25 @@ def validateBGColor(color):
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def validateOptImg(optimizers):
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if isinstance(optimizers, (int, long)):
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from optimizeimages import pngcrush
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logging.warning("You're using a deprecated definition of optimizeimg. We'll do what you say for now, but please fix this as soon as possible.")
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logging.warning("You're using a deprecated definition of optimizeimg. "\
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"We'll do what you say for now, but please fix this as soon as possible.")
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optimizers = [pngcrush()]
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if not isinstance(optimizers, list):
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raise ValidationException("optimizeimg is not a list. Make sure you specify them like [foo()], with square brackets.")
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for opt in optimizers:
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raise ValidationException("What you passed to optimizeimg is not a list. "\
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"Make sure you specify them like [foo()], with square brackets.")
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for opt, next_opt in zip(optimizers, optimizers[1:]) + [(optimizers[-1], None)]:
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if not isinstance(opt, Optimizer):
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raise ValidationException("Invalid Optimizer!")
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opt.check_availability()
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# Check whether the chaining is somewhat sane
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if next_opt:
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if opt.is_crusher() and not next_opt.is_crusher():
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logging.warning("You're feeding a crushed output into an optimizer that does not crush. "\
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"This is most likely pointless, and wastes time.")
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return optimizers
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def validateTexturePath(path):
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