: The most comprehensive solver for large cubes. It has been tested up to 17x17x17 and provides a command-line interface to solve specific cube states. trincaog/magiccube
solver = RubiksCubeNxNSolver(cube3) solver.solve() nxnxn rubik 39scube algorithm github python full
import numpy as np class RubiksCube: def __init__(self, n): self.n = n self.faces = 'U': np.full((n, n), 'white'), 'D': np.full((n, n), 'yellow'), 'L': np.full((n, n), 'orange'), 'R': np.full((n, n), 'red'), 'F': np.full((n, n), 'green'), 'B': np.full((n, n), 'blue') def rotate_face(self, face_key): self.faces[face_key] = np.rot90(self.faces[face_key], k=-1) Use code with caution. Conclusion : The most comprehensive solver for large cubes
: Rotating a face involves two operations: rotating the stickers on that face and shifting the "slices" (the surrounding stickers from adjacent faces). In Python, this can be implemented using NumPy for fast matrix rotations. 2. The Reduction Algorithm Conclusion : Rotating a face involves two operations:
def solve_3x3(scramble_state): """ Solves a 3x3 cube using the Kociemba algorithm. :param scramble_state: A 54-character string representing the cube. Face order: U, R, F, D, L, B Color mapping: U=White, R=Red, F=Green, etc. """ try: solution = kociemba.solve(scramble_state) return solution except Exception as e: return f"Error: str(e)"
: Intel i7, 16GB RAM. Optimization: Move caching, numpy arrays for state.
import numpy as np