Esempio n. 1
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def verbose_info(args, puzzle, solved, size):
    opts1 = {
        'greedy search:': args.g,
        'uniform cost search:': args.u,
        'visualizer:': args.v,
        'solvable:': is_solvable(puzzle, solved, size)
    }
    opt_color = 'cyan2'
    for k, v in opts1.items():
        print(color(opt_color, k), color_yes_no(v))

    opts2 = {
        'heuristic function:': color('green2', args.f),
        'puzzle size:': str(size),
        'solution type:': color('green2', args.s),
        'initial state:': str(puzzle),
        'final state:': str(solved)
    }
    for k, v in opts2.items():
        print(color(opt_color, k), v)

    print(color('blue2', 'heuristic scores for initial state'))
    for k, v in heuristics.KV.items():
        print(color('blue2', '  - ' + k + '\t:'), v(puzzle, solved, size))

    print(color('red2', 'search algorithm:'), 'IDA*' if args.ida else 'A*')
Esempio n. 2
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def verbose_info(args, puzzle, solved, size):
    opts1 = {
        "greedy search:": args.g,
        "uniform cost search:": args.u,
        "visualizer:": args.v,
        "solvable:": is_solvable(puzzle, solved, size),
    }
    opt_color = "cyan2"
    for k, v in opts1.items():
        print(color(opt_color, k), color_yes_no(v))

    opts2 = {
        "heuristic function:": color("green2", args.f),
        "puzzle size:": str(size),
        "solution type:": color("green2", args.s),
        "initial state:": str(puzzle),
        "final state:": str(solved),
    }
    for k, v in opts2.items():
        print(color(opt_color, k), v)

    print(color("blue2", "heuristic scores for initial state"))
    for k, v in heuristics.KV.items():
        print(color("blue2", f"  - {k}\t:"), v(puzzle, solved, size))

    print(color("red2", "search algorithm:"), "IDA*" if args.ida else "A*")
Esempio n. 3
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        colors.enabled = True

    if args.ida:
        args.g = False

    TRANSITION_COST = 1
    if args.g:
        TRANSITION_COST = 0

    HEURISTIC = heuristics.KV[args.f]
    if args.u:
        HEURISTIC = heuristics.uniform_cost

    solved = solved_states.KV[args.s](size)
    verbose_info(args, puzzle, solved, size)
    if not is_solvable(puzzle, solved, size):
        print(color('red', 'this puzzle is not solvable'))
        sys.exit(0)

    maxrss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
    print(color('red', 'max rss before search:'), maxrss)

    t_start = perf_counter()
    if args.ida:
        res = ida_star_search(puzzle, solved, size, HEURISTIC, TRANSITION_COST)
    else:
        res = a_star_search(puzzle, solved, size, HEURISTIC, TRANSITION_COST)
    t_delta = perf_counter() - t_start

    maxrss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
    print(color('red', 'max rss after search: '), maxrss)
Esempio n. 4
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		colors.enabled = True

	if args.ida:
		args.g = False

	TRANSITION_COST = 1
	if args.g:
		TRANSITION_COST = 0

	HEURISTIC = heuristics.KV[args.f]
	if args.u:
		HEURISTIC = heuristics.uniform_cost

	solved = solved_states.KV[args.s](size_rows, size_cols)
	verbose_info(args, puzzle, solved, size_rows, size_cols)
	if not is_solvable(puzzle, solved, size_rows, size_cols):
		print(color('red', 'this puzzle is not solvable'))
		sys.exit(0)

	maxrss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
	print(color('red', 'max rss before search:'), maxrss)

	t_start = time.time()
	if args.ida:
		res = ida_star_search(puzzle, solved, size_rows, size_cols, HEURISTIC, TRANSITION_COST)
	else:
		res = a_star_search(puzzle, solved, size_rows, size_cols, HEURISTIC, TRANSITION_COST)
	t_delta = time.time() - t_start

	maxrss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
	print(color('red', 'max rss after search: '), maxrss)