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Almost all the code is just copying data around, perhaps doing some float conversion and clamping. And some of the PixelRow stuff to get a flavour of what is included.
This starts to introduce some hopefully reusable! The basic hierarchy is similar with some small changes and some simplification of the api.
And because sometimes it really just is easier writing a function to process a single pixel, support is included for Pixel objects and operators.
But this time i just use a map operation on a stream of rows. It's both more efficient and takes less code.
Win win! There is only two pixel types, BytePixel integer and FloatPixel since the cost of wasted memory is insignificant. Probably the most interesting here is the way generics have been used.
It took more than a little fighting with the compiler to understand how they can be used in a simple way without turning it into a vomit-filled bucket of angle brackets.
One convenience is that you can override a locally templated return type in the implementation. So for example:.
The original approach templated the instance-type into the base class. An obvious solution, but it turns out a rather naive one. Unfortunately the same does not apply to templated arguments.
Authors Note: I can't remember why I tried these, but I found a way not to need them so I guess it doesn't matter. One feature I find quite ingenous is the way the reusable PixelRow.
I provided convenience methods in each instance but they are simple one liners which invoke this function. Note here that the readRow function is overriden for each of the supported channel and data formats but doesn't need to be defined explicitly.
In this case the Supplier IntFunction is what is being used to bind the generic RT to Byte1Row and that in turn forces the correct readRow method to be bound.
And additionally it binds the Stream element type as well so applies down-stream. Whilst it isn't entirely obvious why this is such a great thing in this isolated case it carries forward to all users of the stream.
It just saves a lot of typing and allows for easier code reuse. And just a small sample of how this api can be used and how streams sort of make it easier.
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