def parse_data_into_groups(data_path):
answer_groups = []
current_group = []
for line in read_lines(data_path):
if line != "\n":
current_group.append(line.strip())
else:
answer_groups.append(AnswerGroup(current_group))
current_group = []
answer_groups.append(AnswerGroup(current_group))
return answer_groups
def get_passports(input_path):
passport_list = []
passport = ""
for line in read_lines(input_path):
if line == "\n":
passport_list.append(passport)
passport = ""
else:
passport += " " + line.strip()
# put the last passport in!
passport_list.append(passport)
return passport_list
def get_num_valid_passwords(pw_validator):
num_valid = 0
for line in read_lines("day2/day2.txt"):
if check_password_string(line, pw_validator):
num_valid += 1
print(num_valid)
if direction in FORWARD_CHARS:
low = midpoint
else:
high = midpoint
return low
def get_seat_id(directions):
row = use_coords(directions[:7], "row")
col = use_coords(directions[7:], "col")
seat_id = row * 8 + col
# print(f"row: {row}, col: {col}, id: {seat_id}")
return seat_id
assert get_seat_id("BFFFBBFRRR") == 567
assert get_seat_id("FFFBBBFRRR") == 119
assert get_seat_id("BBFFBBFRLL") == 820
seat_ids = {
seat_id
for seat_id in
[get_seat_id(seat.strip()) for seat in read_lines("day5/data.txt")]
}
print("highest seat id", max(seat_ids))
for i in range(min(seat_ids), max(seat_ids)):
if i not in seat_ids:
print(f"your seat is {i}!")
row_num = 0
col_num = 0
while row_num < self.map_height:
if self.tree_map[row_num][col_num] == self.TREE_CHAR:
self.num_trees += 1
row_num += self.move_down
col_num = (col_num + self.move_right) % self.map_width
return self.num_trees
multiply_slopes = [[1, 1], [1, 3], [1, 5], [1, 7], [2, 1]]
test_map_panel = []
for line in read_lines("day3/test.txt"):
test_map_panel.append([space for space in line.strip()])
test_traversal = MapTraversal(test_map_panel, 1, 3)
assert test_traversal.run() == 7
test_results = [
MapTraversal(test_map_panel, x, y).run() for [x, y] in multiply_slopes
]
assert reduce(mul, test_results) == 336
part_1_map_panel = []
for line in read_lines("day3/day3.txt"):
part_1_map_panel.append([space for space in line.strip()])
part_1_traversal = MapTraversal(part_1_map_panel, 1, 3)
def run(datapath, seat_selection_method):
data = [list(seats.strip()) for seats in read_lines(datapath)]
final = get_final_arrangement(data, seat_selection_method)
return get_num_occupied_seats(final)
def compose_bag_dict(datapath):
bag_dict = {}
for line in read_lines(datapath):
bag_type, bags_inside = get_bag_name_and_contents(line.strip())
bag_dict[bag_type] = bags_inside
return bag_dict