commit
a911e9d498
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@ -1,4 +1,4 @@
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version = "5.0.1"
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version = "5.0.2"
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author = "Andre von Houck and Ryan Oldenburg"
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description = "Full-featured 2d graphics library for Nim."
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license = "MIT"
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@ -1,7 +1,7 @@
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import bumpy, chroma, vmath
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type
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PixieError* = object of ValueError ## Raised if an operation fails.
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PixieError* = object of CatchableError ## Raised if an operation fails.
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BlendMode* = enum
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NormalBlend
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@ -575,22 +575,59 @@ proc encodePng*(
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# Add IDAT
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# Add room for 1 byte before each row for the filter type.
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var filtered = newString(width * height * channels + height)
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var
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filtered = newString(width * height * channels + height)
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upRow = newSeq[uint8](width * channels)
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subRow = newSeq[uint8](width * channels)
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avgRow = newSeq[uint8](width * channels)
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for y in 0 ..< height:
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filtered[y * width * channels + y] = 2.char # Up filter type
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let rowStart = y * width * channels
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for x in 0 ..< width * channels:
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# Move through the image data byte-by-byte
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let
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dataPos = y * width * channels + x
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filteredPos = y * width * channels + y + 1 + x
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var up: uint8
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let dataPos = rowStart + x
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var left, up: uint8
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if x - channels >= 0:
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left = data[dataPos - channels]
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if y - 1 >= 0:
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up = data[(y - 1) * width * channels + x]
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filtered[filteredPos] = (data[dataPos] - up).char
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upRow[x] = data[dataPos] - up.uint8
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subRow[x] = data[dataPos] - left.uint8
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let avg = ((left.int + up.int) div 2).uint8
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avgRow[x] = data[dataPos] - avg
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var upRowSum, subRowSum, avgRowSum: uint64
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for i in 0 ..< upRow.len:
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upRowSum += upRow[i]
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subRowSum += subRow[i]
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avgRowSum += avgRow[i]
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let minRowSum = min(min(upRowSum, subRowSum), avgRowSum)
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if upRowSum == minRowSum:
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filtered[rowStart + y] = 2.char # Up filter type
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copyMem(
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filtered[rowStart + y + 1].addr,
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upRow[0].addr,
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upRow.len
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)
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elif subRowSum == minRowSum:
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filtered[rowStart + y] = 1.char # Sub filter type
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copyMem(
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filtered[rowStart + y + 1].addr,
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subRow[0].addr,
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subRow.len
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)
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else:
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filtered[rowStart + y] = 3.char # Average filter type
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copyMem(
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filtered[rowStart + y + 1].addr,
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avgRow[0].addr,
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avgRow.len
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)
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let compressed =
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try:
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compress(filtered, BestSpeed, dfZlib)
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compress(filtered, DefaultCompression, dfZlib)
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except ZippyError:
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raise newException(
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PixieError, "Unexpected error compressing PNG image data"
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