nissy-core

The "engine" of nissy, including the H48 optimal solver.
git clone https://git.tronto.net/nissy-core
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solve.py (1174B)

      1 # Small example of nissy Python module usage
      2 
      3 # Run "./build.sh python", then run this from either the top-level directory
      4 # of the nissy-core repo or from the python subdirectory.
      5 
      6 # Append the directories to the python path so we can load the module
      7 import sys, os
      8 sys.path.append(os.getcwd())
      9 sys.path.append(os.getcwd() + os.path.sep + "python")
     10 
     11 # Import with a nicer name
     12 import nissy
     13 
     14 # Choose the solver you prefer
     15 solver = "h48h0k4"
     16 
     17 # Load the pruning table from file, generate it if needed
     18 datapath = "tables" + os.path.sep + solver
     19 if os.path.exists(datapath):
     20 	data = bytearray(open(datapath, "rb").read())
     21 else:
     22 	data = nissy.gendata("h48h0k4")
     23 	print("Generated data will NOT be persisted")
     24 
     25 # Get a scrambled cube
     26 cube = nissy.applymoves(nissy.solved_cube, "U F R2");
     27 
     28 # Solve!
     29 solutions = nissy.solve(cube, solver, nissy.nissflag_normal, 0, 9, 3, 20, 4, data)
     30 
     31 # Print the solutions, one per line
     32 print("Found ", len(solutions), " solutions:")
     33 for s in solutions:
     34 	print(s)
     35 
     36 # You can use help(nissy) for more info about the available methods:
     37 # help(nissy)
     38 
     39 # Or help(nissy.methodname) if you want to know more about a specific method:
     40 # help(nissy.solve)