def exec_day(sample=False):
if sample:
in_data = SAMPLE_DATA
else:
in_data = read_input_data(DAY)
checksum = get_counts(in_data)
print("Part 1:", checksum)
common_letters = find_similar_ids(in_data)
print("Part 2:", ''.join(common_letters))
def exec_day(sample=False):
if sample:
in_data = SAMPLE_DATA
else:
in_data = read_input_data(DAY, read_func)
p1 = react_polymer(in_data)
print("Part 1:", len(p1))
p2 = find_shortest_polymer(in_data)
print("Part 2:", len(p2))
def exec_day(sample=False):
if sample:
in_data = SAMPLE_DATA
else:
in_data = read_input_data(DAY, read_func)
final_freq = find_final_freq(in_data)
print("Part 1:", final_freq)
dup_freq = find_dup_freq(in_data)
print("Part 2:", dup_freq)
def exec_day(sample=False):
if sample:
in_data = SAMPLE_DATA
else:
in_data = read_input_data(DAY)
claims = parse_into_bboxes(in_data)
overlapped = find_overlapping(claims)
print("Part 1:", overlapped)
good_claim = find_no_overlap(claims)
print("Part 2:", good_claim)
def exec_day(sample=False):
if sample:
in_data = UNSORTED_SAMPLE_DATA
else:
in_data = read_input_data(DAY)
entries = convert_input(in_data)
# print("Sorting Test:", convert_input(SORTED_SAMPLE_DATA, False) == entries)
gnaps = parse_guard_naps(entries)
naps = compile_guard_nap_minutes(gnaps)
p1 = find_max_sleepiest(naps)
print("Part 1: {0} * {1} = {2}".format(*p1))
p2 = find_mode_sleepiest(naps)
print("Part 2: {0} * {1} = {2}".format(*p2))
def exec_day(sample=False):
if sample:
in_data = SAMPLE_DATA
workers = 2
add_sec = 0
else:
in_data = read_input_data(DAY)
workers = 5
add_sec = 60
dependencies = parse_dependencies(in_data)
p1 = determine_step_order(dependencies)
print("Part 1:", ''.join(p1))
p2 = simulate_worker_queue(dependencies, workers=workers, add_sec=add_sec)
print("Part 2:", p2[0], ''.join(p2[1]))