42 lines
1019 B
Python
42 lines
1019 B
Python
import fileinput
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import numpy
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from matplotlib import pyplot
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from pprint import pprint
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PADDING = (16, 256)
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SIM_GENS = 150
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EXTRAPOLATE_GENS = -SIM_GENS + 50000000000
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def convert(line):
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return numpy.array([True if x == "#" else False for x in line])
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inp = fileinput.input()
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# Read the initial state
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pots = convert(next(inp).split()[-1])
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next(inp)
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rules = {}
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for line in inp:
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x, y = [convert(s) for s in line.split(" => ")]
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rules[tuple(x)] = y[0]
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output = numpy.zeros((SIM_GENS + 1, len(pots) + PADDING[0] + PADDING[1]), dtype=bool)
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output[0] = numpy.pad(pots, (PADDING[0], PADDING[1]), "constant")
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for y in range(SIM_GENS):
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for i in range(output.shape[1] - 2):
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key = tuple(output[y, i:i+5])
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output[y + 1][i + 2] = rules.get(key, 0)
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numbers = numpy.arange(-PADDING[0], pots.shape[0] + PADDING[1])
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sum_a = numbers[output[-2]].sum()
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sum_b = numbers[output[-1]].sum()
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delta = sum_b - sum_a
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print(EXTRAPOLATE_GENS * delta + sum_b)
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pyplot.gray()
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pyplot.imshow(1 - output)
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pyplot.show()
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