merge-this | Revision control stress tests
kandi X-RAY | merge-this Summary
kandi X-RAY | merge-this Summary
Merge This! is a test suite for revision control tools designed to stress test their merge algorithms. Think of it as an [Acid3 test] for version control systems. All version control systems have a notion of merging two separate development branches. One measure of a VCS’s quality is how well it handles merges. Is it able to merge two branches without manual conflict resolution? Does the code still behave correctly after automatic resolution? If a conflict does require manual resolution, how complicated is the conflict?. Merge This! has a number of small test cases representing typical development patterns which might cause merge conflicts. Each VCS performs the merge and we evaluate the results. The goal is to codify many software revision patterns in this fashion.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of merge-this
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merge-this Examples and Code Snippets
public void mergeSegment (Segment segment) throws Exception {
if (segment == null) {
return;
}
this.segmentSize += segment.segmentSize;
this.minX = Math.min(this.minX, segment.minX);
this.maxX = Math.max(thi
Community Discussions
Trending Discussions on merge-this
QUESTION
when I run my PIL code ,it has this error:
...ANSWER
Answered 2018-Sep-26 at 06:38You have changed image type without thinking about the consequences. JPEG and PNG are fundamentally different beasts, and you need to be aware of that:
JPEG images are lossily saved, so your data will not generally be read back with the same values you wrote - this seems to shock everyone. They threshold an image so that all values above 127 go white and others go black and have a true binary image, they then save as JPEG and are amazed that on reloading, the image has 78 colours despite having thresholded it.
JPEG images have all sorts of artefacts - chunky blocks of noise which will mess up your processing - especially if you look at saturation.
PNG images are often palettised where each pixel stores an index into a 256-colour palette, rather than an RGB triplet. Most operations will fail on palettised images because you are comparing an index with an RGB colour triplet.
PNG images are often greyscale - so there is only one channel and comparisons with RGB triplets will fail because the number of channels differs.
So, in answer to your question, I suspect your PNG image is palettised (especially likely when it only has 2 colours). You therefore need to convert it to RGB or maybe Luminance mode on opening:
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