def main():
data = readlines('inputs/day17_input.txt')
part1_solution = part1(data)
part2_solution = part2(data)
print('\n\n\n')
print(f'Part 1 solution: {part1_solution}')
print(f'Part 2 solution: {part2_solution}')
def main():
"""Day3 solution"""
data = readlines('inputs/day3_input.txt')
part1_solution = traverse_map(data, right_step=3, down_step=1)
part2_solution = part2(data)
print(f'Part 1 solution: {part1_solution}')
print(f'Part 2 solution: {part2_solution}')
def main():
"""Main function for the day2 challenge"""
data = readlines('inputs/day2_input.txt')
part1_solution = part1(data)
part2_solution = part2(data)
print(f'Part 1 solution is: {part1_solution}')
print(f'Part 2 solution is: {part2_solution}')
def main():
"""I HATE RECURSION SO MUCH BECAUSE I CAN'T UNDERSTAND IT :("""
# TODO: 1. Learn how to solve recursive problems
# TODO: 2. Refactor this whole mess below
data = readlines('inputs/day7_input.txt')
print(part1(data))
print(part2(data))
def main():
"""Solution for day 8."""
data = readlines('inputs/day8_input.txt')
part1_solution = part1(data)
part2_solution = part2(data)
print(f'Part 1 solution: {part1_solution}')
print(f'Part 2 solution: {part2_solution}')
def main():
instructions = '''F10
N3
F7
R90
F11'''
data = readlines('inputs/day12_input.txt')
part1(data)
def main():
"""Main function for the day1 challenge"""
inp = readlines('inputs/day1_input.txt')
inp = [int(x) for x in inp]
day1_pt1_answer = day1_pt1(inp)
day1_pt2_answer = day1_pt2(inp)
print(f'Part 1 answer is {day1_pt1_answer}')
print(f'Part 2 answer is {day1_pt2_answer}')
def main():
data = readlines('inputs/day10_input.txt')
data = [int(l) for l in data]
data.sort()
part1_solution = part1(data)
part2_solution = part2(data)
print(f'Part 1 solution is {part1_solution}')
print(f'Part 2 solution is {part2_solution}')
def main():
"""Solution for day 5."""
data = readlines('inputs/day5_input.txt')
seats = _calculate_seat_ids(data)
seat_ids = [s['seat_id'] for s in seats]
part1_solution = part1(seat_ids)
part2_solution = part2(seat_ids)
print(f'Part 1 solution: {part1_solution}')
print(f'Part 2 solution: {part2_solution}')
def main():
data = readlines('inputs/day18_input.txt')
sum_of_results = [0, 0]
# both pt 1 and pt2
for line in data:
sum_of_results[0] += evaluate(line)
sum_of_results[1] += evaluate_pt2(line)
print(f'pt1: {sum_of_results[0]}, pt2: {sum_of_results[1]}')
def main():
data = readlines('inputs/day9_input.txt')
data = [int(x) for x in data]
subArraySum(data, len(data), 466456641)
d = data[493:510]
d.sort()
print(d[0] + d[-1])
return
for i in range(5, len(data)):
to_check = data[i-25:i]
#print(to_check)
sums = _generate_sums(to_check)
if data[i] not in sums:
print(data[i])
def main():
data = readlines('inputs/day14_input.txt')
print(part1(data))
print(part2(data))
help=
'Text file containing on each line a path to a wav file to be processed. Each path has to be relative to parent dir of this file.'
)
parser.add_argument('-o',
'--outputdir',
help='Directory where to save generated images.')
parser.add_argument('-l',
'--labelsfile',
help='Text file containing on each line a label.')
args = parser.parse_args()
recordsFile = args.file
inputDir = os.path.dirname(recordsFile) + os.path.sep
outputDir = os.path.join(args.outputdir, "")
classes = helpers.readlines(args.labelsfile)
records = helpers.readlines(recordsFile)
for record in records:
print("Processing: ", record)
label, _ = record.split("/")
print("label: %s, file: %s" % (label, record))
if (label in classes):
data, sampleRate = helpers.readwav(inputDir + record)
for i in range(16):
augmentedData = aug.applyAugmentation(data, sampleRate)
print("data shape: ", augmentedData.shape)
print("data: ", augmentedData)
spectrogram = helpers.convertToLogMelSpectrogram(
augmentedData, sampleRate)
if args.list_devices:
print(sd.query_devices())
parser.exit(0)
if args.samplerate is None:
device_info = sd.query_devices(args.device, 'input')
# soundfile expects an int, sounddevice provides a float:
args.samplerate = int(device_info['default_samplerate'])
if args.filename is None:
args.filename = tempfile.mktemp(prefix='rec_unlimited_',
suffix='.wav',
dir='')
q = queue.Queue()
buffer = np.zeros(args.targetsamplerate)
labels = helpers.readlines(args.labelsfile)
speechToTextInferencer = SpeechToTextInferencer(args.checkpointdir, labels)
# Make sure the file is opened before recording anything:
with sf.SoundFile(args.filename,
mode='x',
samplerate=args.targetsamplerate,
channels=args.channels,
subtype=args.subtype) as file:
with sd.InputStream(samplerate=args.samplerate,
device=args.device,
channels=args.channels,
callback=createCallback(buffer, len(buffer),
args.samplerate,
args.targetsamplerate, q)):
print('#' * 80)
def main():
data = readlines('inputs/day11_test_input.txt')
data = [[*word] for word in data]
part2(data)
