# Optimize the solution solution = optimize(solution)
import numpy as np class NxNCube: def __init__(self, n): self.n = n # Define 6 faces initialized with unique integers representing colors self.faces = 'U': np.full((n, n), 0), 'D': np.full((n, n), 1), 'F': np.full((n, n), 2), 'B': np.full((n, n), 3), 'L': np.full((n, n), 4), 'R': np.full((n, n), 5) Use code with caution. Implementing Layer Rotations nxnxn rubik 39scube algorithm github python verified
If you are building a camera-to-solver application, explore computer vision topics using the OpenCV Python Documentation so your script can read the colors of your cube in real-time. # Optimize the solution solution = optimize(solution) import
# Define the cube state as a string # Order: U1-U9, R1-R9, F1-F9, D1-D9, L1-L9, B1-B9 # Colors: U=White, R=Red, F=Green, D=Yellow, L=Orange, B=Blue cube_state = 'DRLUUBFBRBLURRLRUBLRDDFDLFUFUFFDBRDUBRUFLLFDDBFLUBLRBD' It uses a reduction method where it first
: This is the benchmark for large-scale solvers. It uses a reduction method where it first aligns facets to reduce an NxNxN cube (like a 5x5) into a 3x3 problem, which is then solved using standard algorithms.