示例#1
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def run(size, intcode):
    NAT = None

    nodes = [Runner(Buffer([i], -1)) for i in range(size)]
    network = [node.iterator(intcode) for node in nodes]
    output_buffers = [[] for _ in range(size)]

    for index in cycle(range(size)):
        iterator = network[index]
        value = next(iterator)
        if value is not None:
            output_buffers[index].append(value)
            if len(output_buffers[index]) == 3:
                address, X, Y = output_buffers[index]
                output_buffers[index] = []

                if address < size:
                    nodes[address].input.list += [X, Y]
                    nodes[address].input.idle = False
                else:
                    NAT = (X, Y)

                yield address, X, Y, False

        if all(node.input.idle for node in nodes) and NAT is not None:
            address = 0
            X, Y = NAT
            yield address, X, Y, True
            nodes[address].input.list += [X, Y]
            nodes[address].input.idle = False
示例#2
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文件: day-7.py 项目: andres-ml/aoc-19
def runSequence(sequence, intcode, endCondition, startSignal=0):
    runners = [Runner(iter([phase])) for phase in sequence]
    runnerIterators = [runner.output_iterator(intcode) for runner in runners]

    # pipe last signal to current runner's input and add its next output signal to signals
    def step(signals, index):
        runners[index].feed(signals[-1])
        signal = next(runnerIterators[index], None)
        return signals + [signal], (index + 1) % len(runners)

    return reduceUntil(endCondition, unpack(step), ([startSignal], 0))[0]
示例#3
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def translate_to_instructions(compression):
    names = 'ABC'
    lines = []
    # main routine
    lines.append([names[index] for index in compression[0]])
    # subroutines
    subroutine_to_line = lambda pairs: [
        str(item) for pair in pairs for item in pair
    ]
    for pairs in compression[1]:
        lines.append(subroutine_to_line(pairs))
    # disable visual feed
    lines.append(['n'])
    return Runner.ASCII_input([','.join(line) for line in lines])
示例#4
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def run(code, intcode):
    runner = Runner(Runner.ASCII_input(code))
    runner.run(intcode)
    return runner.output
示例#5
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文件: day-9.py 项目: andres-ml/aoc-19
def solve(input, intcode):
    runner = Runner(iter(input))
    runner.run(intcode)
    return intcode, runner
示例#6
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def run(input, intcode):
    runner = Runner(iter(input))
    runner.run(intcode)
    return runner.output[-1]
示例#7
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def play(AI, game, intcode):
    playthrough = execute(Runner(AI(game)), [2] + intcode[1:])
    for x, y, tile in playthrough:
        if x == -1 and y == 0 and count_blocks(game) == 0:
            return tile
        game[(x, y)] = tile
示例#8
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def build_game(intcode):
    result = defaultdict(lambda: EMPTY)
    for x, y, tile in execute(Runner(), intcode):
        result[(x, y)] = tile
    return result
示例#9
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文件: day-2.py 项目: andres-ml/aoc-19
from utils import cmap, compose, invoker, at, unpack
from functools import partial
from itertools import product
from aoc.intcode import Runner

N = 100
TARGET = 19690720

parse = compose(list, cmap(int), invoker('split', ','))

runner = Runner()

run = lambda intcode: runner.run(intcode)
alarm = lambda noun, verb: lambda intcode: intcode[:1] + [noun, verb
                                                          ] + intcode[3:]
solve = lambda noun, verb: compose(at(0), run, alarm(noun, verb))
findNounVerb = lambda target, intcode: next(
    (noun, verb) for noun, verb in product(range(N), range(N))
    if solve(noun, verb)(intcode) == target)

one = compose(solve(12, 2), parse)
two = compose(unpack(lambda a, b: a * 100 + b), partial(findNounVerb, TARGET),
              parse)
示例#10
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def draw(intcode):
    runner = Runner()
    runner.run(intcode)
    return runner.output
示例#11
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def get_dust(intcode):
    grid = get_grid(intcode)
    runner = Runner(get_instructions(grid))
    runner.run([2] + intcode[1:])
    return runner.output[-1]
示例#12
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def solve(intcode, grid):
    robot = Robot(Runner())
    robot.paint_all(intcode, grid)
    return grid, robot