Add POC for "layered randomization" big cube scrambles #40
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gregorbg
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Renamed based on a suggestion by @lgarron to make clear that this is not equivalent to random state scrambles on big cubes. |
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Avoids implication that this comes close to Random State quality
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Based on a discussion about allowing 5x5 misscrambles, which pointed us back to #17
Currently, this scrambles all layers that have centers using 3x3 random state scrambles from outside to inside, except for the innermost layer of even NxN, which resorts to using a 2x2 random state scramble. The model scales to any NxN automatically, meaning we can apply the concept to 6x6 and 7x7 on a whim.
As of the intial PR, the outermost layer (the "reduction stage") is not scrambled with a 3x3 random state, although this can be fixed by literally changing one character in the source code (changing a one to a zero in the constant
EXCLUDE_OUTER_LAYERSdefinition)Obviously this is not tested thoroughly because it's intended as a proof of concept at this stage. These scrambles are not WCA-legal! We also have not had a second pair of eyes to check the original mathematical analysis that prompted this approach.
Feel free to discuss!