Пример #1
0
def part_2(data: List[str]):
    chunked = chunk_aoc_data(data)
    valid_ranges, ticket, nearby_ticket_vals = unpack_apply(
        chunked,
        get_valid_ranges,
        lambda x: [int(_) for _ in x[1].split(',')],
        get_nearby_ticket_values,
    )

    collapsed_ranges = collapse_valid_ranges(
        chain.from_iterable(valid_ranges.values()))
    flattened_tickets = chain.from_iterable(nearby_ticket_vals)

    invalid_numbers = set(
        get_invalid_numbers(collapsed_ranges, flattened_tickets))

    nearby_ticket_vals = nearby_ticket_vals + [ticket]
    valid_tickets = sorted(filter(
        lambda x: not len([_ for _ in x if _ in invalid_numbers]),
        nearby_ticket_vals),
                           reverse=True)

    prop_map = get_prop_map(valid_ranges, valid_tickets)

    departure_vals = []
    for k, v in prop_map.items():
        if k.startswith('departure'):
            departure_vals.append(v)

    return prod([ticket[_] for _ in departure_vals])
Пример #2
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def get_valid_ranges(x: str) -> dict:
    ranges = {
        k: v
        for k, v in
        [unpack_apply(_.split(': '), None, clean_ranges) for _ in x]
    }
    return ranges
Пример #3
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def part_1(data: List[str]):
    chunked = chunk_aoc_data(data)
    valid_ranges, _, nearby_ticket_vals = unpack_apply(
        chunked, get_valid_ranges, None, get_nearby_ticket_values)

    collapsed_ranges = collapse_valid_ranges(
        chain.from_iterable(valid_ranges.values()))
    flattened_tickets = chain.from_iterable(nearby_ticket_vals)

    return sum(get_invalid_numbers(collapsed_ranges, flattened_tickets))
Пример #4
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def part_1(data: List[str]):
    mask = get_mask_val(data[0])
    d = {}

    for _ in data[1:]:
        if _.startswith('mask'):
            mask = get_mask_val(_)
            continue
        k, v = unpack_apply(_.split(' = '), get_mem_loc, str_to_bit_str)
        d[k] = apply_mask(mask, v)

    return sum(map(bit_str_to_int, d.values()))
Пример #5
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def part_2(data: List[str]):
    mask = get_mask_val(data[0])
    d = {}

    for line in data[1:]:
        if line.startswith('mask'):
            mask = get_mask_val(line)
            continue
        k, v = unpack_apply(line.split(' = '), get_mem_loc)
        new_keys = apply_mask_2(mask, str_to_bit_str(k))
        for num in new_keys:
            d[num] = v

    return sum(map(int, d.values()))
def test_unpack_apply():
    x = ('bob', '33', 'fbi')
    res = unpack_apply(x, capitalize, int, upper)
    assert res == ('Bob', 33, 'FBI')
def test_unpack_apply_with_none():
    x = ['bob', '33', 'fbi']
    res = unpack_apply(x, capitalize, None, upper)
    assert res == ('Bob', '33', 'FBI')
def test_unpack_apply_generator():
    x = (_ for _ in ['bob', '33', 'fbi'])
    res = unpack_apply(x, capitalize, int, upper)
    assert res == ('Bob', 33, 'FBI')
def test_unpack_apply_from_string():
    x = 'bob 33 fbi'.split(' ')
    res = unpack_apply(x, capitalize, int, upper)
    assert res == ('Bob', 33, 'FBI')
def test_unpack_apply_less_elements():
    x = ('bob', '33')
    res = unpack_apply(x, capitalize, int, upper)
    assert res == ('Bob', 33)
def test_unpack_apply_more_elements():
    x = ('bob', '33', 'fbi', 'banana')
    res = unpack_apply(x, capitalize, int, upper)
    assert res == ('Bob', 33, 'FBI', 'banana')