import numpy as np class NxNxNCube: def (self, n): self.n = n self.state = self._create_solved_state()
Every stage's move set is proven to reduce the cube to the next subgroup (G1 → G2 → G3 → solved). The code checks that after each phase, the cube belongs to the correct subgroup using invariant scanning. Writing Your Own Verified NxNxN Solver: A Step-by-Step Template If you can't find the perfect repo, here's how to build a verified NxNxN solver in Python, using ideas from the verified projects above. Step 1: Data Structure Represent the cube as a dictionary of (N, N, N) positions to colors. Use numpy for performance.
from nxnxn import Cube c = Cube(4) # 4x4 c.move("R U R' U'") # Sextet assert c.is_verified() # Checks all cubies are valid
import numpy as np class NxNxNCube: def (self, n): self.n = n self.state = self._create_solved_state()
Every stage's move set is proven to reduce the cube to the next subgroup (G1 → G2 → G3 → solved). The code checks that after each phase, the cube belongs to the correct subgroup using invariant scanning. Writing Your Own Verified NxNxN Solver: A Step-by-Step Template If you can't find the perfect repo, here's how to build a verified NxNxN solver in Python, using ideas from the verified projects above. Step 1: Data Structure Represent the cube as a dictionary of (N, N, N) positions to colors. Use numpy for performance.
from nxnxn import Cube c = Cube(4) # 4x4 c.move("R U R' U'") # Sextet assert c.is_verified() # Checks all cubies are valid
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import numpy as np class NxNxNCube: def (self, n): self
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