Exemple #1
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def solution(idx):
    count = util.int_input()
    sequences = []
    for _ in range(0, count * 2 - 1):
        sequence = map(int, util.list_input())
        sequences.append(sequence)
    grid = Grid.solve(sequences)
    sol = grid.populate_missed()
    util.print_case(idx, ' '.join(map(str, sol)))
Exemple #2
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def solution(idx):
    count = util.int_input()
    rels = map(int, util.list_input())
    assert count == len(rels)
    circle = Circle(count)
    for i, rel in enumerate(rels):
        # #print i, rel - 1
        circle.put_rel(i, rel)
    for i, person in enumerate(circle.people):
        pass
         #print i, person
    sol = circle.search()
    util.print_case(idx, sol)
Exemple #3
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def linear_search(digit, count):
    indigit = digit - 2
    solutions = []
    for i in range(0, 2**indigit):
        i_bin = bin(i)[2:]
        padded = ('0' * indigit) + i_bin
        str_coin = '1' + padded[-indigit:] + '1'
        assert len(str_coin) == digit
        coin = JamCoin.from_str(str_coin)
        divisors = coin.validate()
        if divisors:
            solutions.append((coin, divisors))
        if len(solutions) >= count:
            break
    return solutions


def solution(idx):
    N, J = map(int, util.list_input())
    util.print_case(idx, '')
    answers = linear_search(N, J)
    assert len(answers) == J
    for coin, divisors in answers:
        print coin, ' '.join(map(str, divisors))


if __name__ == '__main__':
    count = util.int_input()
    util.loop(count, solution)
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Exemple #4
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        factors = reduce(lambda a, b: a + b, factorss, [])
        return set(range(0, self.sequence_size)) == set(factors)


def humanize(x):
    return map(lambda e: e + 1, x)


def machinize(x):
    return map(lambda e: e - 1, x)


def solution(idx):
    K, C, S = map(int, util.list_input())
    sequence_size = K
    complexity = C
    tester_count = S

    # K진수의 C자리 숫자(0이 패딩)에서 모든 수를 뽑는 문제와 같음
    # 한번에 C자리 뽑을 수 있으므로 C*S가 K보다 작으면 망함
    f = Fractal(sequence_size, complexity)
    indexset = humanize(f.search_indexset())
    if len(indexset) > tester_count:
        util.print_case(idx, 'IMPOSSIBLE')
    else:
        util.print_case(idx, ' '.join(map(str, indexset)))


if __name__ == '__main__':
    count = util.int_input()  # float_input, list_input
    util.loop(count, solution)
Exemple #5
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        sequences.sort()
        for sequence in sequences:
            self.put(sequence)

    @classmethod
    def solve(self, sequences):
        while True:
            grid = Grid(count)
            grid.put_sequences(sequences)
            try:
                grid.populate_missed()
            except AssertionError:
                raise
            else:
                return grid


def solution(idx):
    count = util.int_input()
    sequences = []
    for _ in range(0, count * 2 - 1):
        sequence = map(int, util.list_input())
        sequences.append(sequence)
    grid = Grid.solve(sequences)
    sol = grid.populate_missed()
    util.print_case(idx, ' '.join(map(str, sol)))


if __name__ == '__main__':
    count = util.int_input()  # float_input, list_input
    util.loop(count, solution)
Exemple #6
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def linear_search(digit, count):
    indigit = digit - 2
    solutions = []
    for i in range(0, 2**indigit):
        i_bin = bin(i)[2:]
        padded = ('0' * indigit) + i_bin
        str_coin = '1' + padded[-indigit:] + '1'
        assert len(str_coin) == digit
        coin = JamCoin.from_str(str_coin)
        divisors = coin.validate()
        if divisors:
            solutions.append((coin, divisors))
        if len(solutions) >= count:
            break
    return solutions


def solution(idx):
    N, J = map(int, util.list_input())  # float_input, list_input
    util.print_case(idx, '')
    answers = linear_search(N, J)
    assert len(answers) == J
    for coin, divisors in answers:
        print coin, ' '.join(map(str, divisors))


if __name__ == '__main__':
    count = util.int_input()
    util.loop(count, solution)