def process():
# pulls the form information from the post query
form = request.form
user = User.load_from_db_by_student_id(form["student_id"])
# if the user doesn't exist in the database already, then creates a new user
# users are classified by student id
if not user:
user = User(form["first_name"], form["last_name"], form["student_id"],
None)
user.save_to_db()
user = User.load_from_db_by_student_id(form["student_id"])
# compiles a list of the seats chosen in the form from the post query
seats = ""
seat_list = form.getlist('seats')
for seat in seat_list:
seats += seat + " "
new_seat = Seat(seat, form["screening"], None)
new_seat.save_to_db()
# updates attending in the screening database, then creates a new order in the database. all the fields that are
# passed as None are filled by the database itself.
Screening.update_attending(len(seat_list), form["screening"])
new_order = Order(None, user.id, seats, form["screening"], None, None)
new_order.save_to_db()
new_order = Order.load_from_db_by_user_id(user.id)
screening = Screening.load_from_db_by_screening_id(new_order.screening_id)
movie = Movie.load_from_db_by_id(screening.movie_id)
order_date = new_order.order_date.strftime("%B %d, %Y %I:%M %p")
screening_date = screening.date.strftime("%B %d, %Y %I:%M %p")
return render_template('orderdetails.html',
user=user,
order=new_order,
movie=movie,
screening=screening,
order_date=order_date,
screening_date=screening_date)
def create_seat(self):
try:
cr_s = dialog1()
cr_s.exec_()
a = cr_s.LIST
if not a:
return
if not a[0][0]:
n = [
str(x)
for x in range(1, (int(a[1][1]) * int(a[1][0]) + 1) * 2)
]
else:
n = a[0]
QApplication.setOverrideCursor(QCursor(Qt.WaitCursor))
n = iter(n)
y = self.size().height() / (int(a[1][1]) + 1)
X = self.size().width() / (int(a[1][0]) + 1)
if cr_s.checkBox.isChecked():
t = [[
Seat(name=next(n),
geom=(X * (j + 1) - 20, y * (i + 1) + 1),
parent=self,
seat=self.seat),
Seat(name=next(n),
geom=(X * (j + 1) + 20, y * (i + 1) + 1),
parent=self,
seat=self.seat)
] for i in range(int(a[1][0])) for j in range(int(a[1][1]))]
t = list(chain.from_iterable(t))
else:
t = [
Seat(name=next(n),
geom=(X * (j + 1), y * (i + 1) + 1),
parent=self,
seat=self.seat) for i in range(int(a[1][1]))
for j in range(int(a[1][0]))
]
if cr_s.checkBox_2.isChecked():
for x, y in enumerate(t):
y.Gender = 'boy' if x % 2 == 0 else 'girl'
self.seat.extend(t)
del t
except OverflowError:
self.del_seat()
finally:
QApplication.restoreOverrideCursor()
def __allocate_spectator(self, spectator: Spectator, seat: Seat):
result = False
if seat.check_availability():
seat.occupy_seat(spectator)
self.__allocated_spectators.append(spectator)
self.__allocated_seats = self.__allocated_seats + 1
result = True
return result
def __init__(self, film: Film, rows: int, cols: int):
self.__film = film
self.__allocated_seats = 0
self.__allocated_spectators = []
self.__max_seats = int(rows * cols)
self.__room = [[Seat(row + 1, col + 1) for col in range(cols)]
for row in range(rows)]
def generate_by_seat_assignment(plane, overall_alternate, letter_alternate, row_alternation):
# overall alternate = True /False: GO A... B... C... or A... F... B...
# letter alternate = True / False GO AAAAAA ..... or AFAFAF .....
# row alternation integer
row_alternation += 1
seats = np.empty(plane.rows*(plane.seatsRight + plane.seatsLeft), dtype = Seat)
index = 0
for i in range(0, row_alternation):
for j in range(0, plane.seatsLeft + plane.seatsRight):
if overall_alternate:
if j % 2 == 1:
j = plane.seatsRight+plane.seatsLeft -1 - int(j/2)
else:
j = int(j/2)
for k in range(0, ceil((plane.rows - i)/row_alternation)):
row = plane.rows-1-i-k*row_alternation
if letter_alternate:
if k % 2 == 0:
col = j
else:
col = plane.seatsRight+plane.seatsLeft -1 - j
else:
col = j
seats[index] = Seat(row,col)
index += 1
return seats
def generate_by_half_row_assignment(plane, row_alternation, alternate_sides):
row_alternation += 1
seats = np.empty(plane.rows*(plane.seatsRight + plane.seatsLeft), dtype = Seat)
index = 0
seats_on_side = plane.seatsLeft
for h in range(0, 2):
for i in range(0, row_alternation):
for j in range(0, ceil((plane.rows - i)/row_alternation)):
if alternate_sides:
h_temp = (h+j)%2
else:
h_temp = h
if h_temp == 0:
seats_on_side = plane.seatsLeft
else:
seats_on_side = plane.seatsRight
half_row = np.empty(seats_on_side, dtype = int)
for k in range(0, seats_on_side):
half_row[k] = k+h_temp*plane.seatsLeft
np.random.shuffle(half_row)
for k in range(0, seats_on_side):
seats[index] = Seat(plane.rows-1 - (i+j*row_alternation),half_row[k])
index += 1
return seats
def generate_random_assignment(plane):
seats = np.empty(plane.rows * (plane.seatsRight + plane.seatsLeft), dtype=Seat)
for i in range(0, plane.rows):
for j in range(0, plane.seatsRight + plane.seatsLeft):
seats[i * (plane.seatsRight + plane.seatsLeft) + j] = Seat(i, j)
np.random.shuffle(seats)
return seats
def load(self, file, fname):
self.couple_ov_op, self.seat_ov_op, self.gender_set = file[-1]
del file[-1]
self.ch_couple = None
print(len(self.seat))
self.del_seat()
self.seat.extend([
Seat(x[0], x[1], x[2], self,
(self.width() * x[3][0], self.height() * x[3][1]), x[4], x[5],
x[6]) for x in file
])
for x in self.seat:
try:
x.couple = self.seat[x.couple]
except TypeError:
pass
t, _ = splitext(basename(fname))
self.setWindowTitle(t)
def solve_one(boarding_passes):
highest_seat_id = 0
for boarding_pass in boarding_passes:
seat = Seat(boarding_pass)
highest_seat_id = max(seat.id, highest_seat_id)
logging.info(f'Highest Seat ID: {highest_seat_id}')
return highest_seat_id
def choose_seats(self, hall_map, tickets_count):
result = []
while tickets_count > 0:
seat_choice_string = tuple(input("Choose a seat (e.g '(1, 2)') > "))
seat_choice = Seat.string_to_seat_tuple(seat_choice_string)
if Seat.isOutOfRange(seat_choice[0], seat_choice[1], self.LENGTH, self.WIDTH) is True:
print("Seat is out of boundries")
elif hall_map[seat_choice[0] - 1][seat_choice[1] - 1] == Seat.SEAT_TAKEN:
print("Seat is already taken")
else:
result.append(seat_choice)
tickets_count -= 1
return result
def generateMap(self, _input) -> [Seat]:
_map = []
for x, line in enumerate(_input):
for y, state in enumerate(line):
seat = Seat(x, y, state)
if not _map.__contains__(seat):
_map.append(seat)
return _map
def generate_full_row_block_assignment(plane, number_of_blocks, sequence_index, alternation):
seats = np.empty(plane.rows * (plane.seatsRight + plane.seatsLeft), dtype=Seat)
blocks = list()
for i in range(0, number_of_blocks-1):
new_block = np.empty(int(plane.rows/number_of_blocks) * (plane.seatsRight + plane.seatsLeft), dtype=Seat)
for j in range(0, int(plane.rows/number_of_blocks)):
for k in range(0, plane.seatsRight + plane.seatsLeft):
new_block[j * (plane.seatsRight + plane.seatsLeft) + k] = \
Seat(i*int(plane.rows/number_of_blocks)+j, k)
np.random.shuffle(new_block)
blocks.append(new_block)
new_block = np.empty((plane.rows-(number_of_blocks-1)*int(plane.rows / number_of_blocks)) *
(plane.seatsRight + plane.seatsLeft), dtype=Seat)
for j in range(0, (plane.rows-(number_of_blocks-1)*int(plane.rows / number_of_blocks))):
for k in range(0, plane.seatsRight + plane.seatsLeft):
new_block[j * (plane.seatsRight + plane.seatsLeft) + k] = \
Seat((number_of_blocks-1)*int(plane.rows / number_of_blocks) + j, k)
np.random.shuffle(new_block)
blocks.append(new_block)
if sequence_index == 0: # blocks in decreasing order
index = len(seats)-1
for i in blocks:
for j in range(0, len(i)):
seats[index] = i[j]
index -= 1
elif sequence_index == 1: # blocks in alternating, decreasing order
index = 0
for start in reversed(range(len(blocks)-1-alternation, len(blocks))):
i = start
while i >= 0:
for k in range(0, len(blocks[i])):
seats[index] = blocks[i][k]
index += 1
i -= (alternation + 1)
else: # blocks in random order
shuffle(blocks)
index = 0
for i in blocks:
for k in range(0, len(i)):
seats[index] = i[k]
index += 1
return seats
def __init__(self, players, buy_in, min_denomination):
self.seats = deque()
self.min_denomination = min_denomination
self.player_positions = []
self.blind_structure = Blinds(buy_in)
self.player_indices = range(len(players))
for player, index in zip(players, self.player_indices):
seat = Seat(player, index, buy_in)
self.seats.append(seat)
def choose_seats(self, hall_map, tickets_count):
result = []
while tickets_count > 0:
seat_choice_string = tuple(
input("Choose a seat (e.g '(1, 2)') > "))
seat_choice = Seat.string_to_seat_tuple(seat_choice_string)
if Seat.isOutOfRange(seat_choice[0], seat_choice[1], self.LENGTH,
self.WIDTH) is True:
print("Seat is out of boundries")
elif hall_map[seat_choice[0] - 1][seat_choice[1] -
1] == Seat.SEAT_TAKEN:
print("Seat is already taken")
else:
result.append(seat_choice)
tickets_count -= 1
return result
def solve_two(boarding_passes):
seat_map = np.zeros((128, 8))
for boarding_pass in boarding_passes:
seat = Seat(boarding_pass)
seat_map[seat.row, seat.column] = seat.id
neighbors = seat_map.flatten()
neighbors = np.where(neighbors > 0)
seat_id = np.sum(range(np.min(neighbors), np.max(neighbors) + 1)) - np.sum(neighbors)
logging.info(f'Seat ID: {seat_id}')
return seat_id
def generate_steffen_assignment(plane, alternation):
alternation += 1
seats = np.empty(plane.rows*(plane.seatsRight + plane.seatsLeft), dtype=Seat)
index = 0
a = 0
b = plane.seatsRight + plane.seatsLeft - 1
while a < plane.seatsLeft or b >= plane.seatsLeft:
for i in range(0, alternation):
if b >= plane.seatsLeft:
m = plane.rows - 1 - i
while m >= 0:
seats[index] = Seat(m, b)
index += 1
m -= alternation
if a < plane.seatsLeft:
m = plane.rows - 1 - i
while m >= 0:
seats[index] = Seat(m, a)
index += 1
m -= alternation
b -= 1
a += 1
return seats
def test_seat(boarding_passes):
properties = [
(44, 5, 357),
(70, 7, 567),
(14, 7, 119),
(102, 4, 820),
]
tests = zip(boarding_passes, properties)
for code, props in tests:
row, column, id = props
seat = Seat(code)
assert seat.row == row
assert seat.column == column
assert seat.id == id
def generate_tables(self, num_unseated, max_seats, min_seats):
self._tables = []
while num_unseated > 0:
to_seat = 0
if num_unseated % max_seats == 0:
to_seat = max_seats;
elif num_unseated > min_seats:
to_seat = min_seats
else:
to_seat = num_unseated;
self._tables.append(Table([Seat() for i in range(0, to_seat)]))
num_unseated -= to_seat
def generate_by_row_assignment(plane, alternation):
seats = np.empty(plane.rows * (plane.seatsRight + plane.seatsLeft), dtype=Seat)
rows = list()
for i in range(0, plane.rows):
new_row = np.empty((plane.seatsRight + plane.seatsLeft), dtype=Seat)
for j in range(0, plane.seatsRight + plane.seatsLeft):
new_row[j] = Seat(i, j)
np.random.shuffle(new_row)
rows.append(new_row)
index = 0
for start in reversed(range(len(rows)-1-alternation, len(rows))):
i = start
while i >= 0:
for k in range(0, len(rows[i])):
seats[index] = rows[i][k]
index += 1
i -= (alternation + 1)
return seats
def handle_data(self, data):
if len(data.strip()) == 0:
return
if self.state == State.NAME:
# Seats are listed as eg. 'Higgins (VIC)'
p = re.compile('([a-zA-Z\-\s\']*)\s*\(([A-Za-z]*)\)')
m = p.match(data.strip())
self.seats.append(Seat(m.group(1).strip(), m.group(2).upper()))
if self.state == State.CANDIDATE_NAME:
name = data
if name.find('(') > 0:
name = name[0:name.find('(')]
name = name.strip()
for s in SYNONYMS:
if name in s:
name = s[0]
self.candidate_name = name
if self.state == State.PRICE:
self.price = float(data.strip())
def order():
query = request.args.get('q')
movie_data = Movie.load_from_db_by_name(query)
screenings = Screening.load_screenings_by_movie_id(movie_data.id)
booked_seats = []
# compiles all the seat bookings by the screening id from the database, puts them in a list, and passes that list
# into the html file
for i in range(len(screenings)):
seat_list = Seat.load_from_db_by_screening_id(screenings[i].id)
if seat_list:
booked_seats.extend(seat_list)
# compiles a list of dates with a specific format for all screenings of the chosen movie
date_list = [(screenings[i].date.strftime("%B %d, %Y %I:%M %p"),
screenings[i].id) for i in range(len(screenings))]
if screenings:
return render_template('order.html',
movie_data=movie_data,
screenings=date_list,
seat_list=booked_seats)
def main():
#blue_seat = Seat(color=BLUE)
blue_seats = dict(enumerate([Seat(BLUE, 15) for i in range(TOTAL_SEATS)]))
passengers = dict(enumerate([Passenger() for i in range(TOTAL_SEATS)]))
#print(passengers)
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
quit()
start_time = pygame.time.get_ticks()
# timer example
#https://stackoverflow.com/questions/30720665/countdown-timer-in-pygame
if start_time:
time_since_enter = pygame.time.get_ticks() - start_time
message = 'Milliseconds since enter: ' + str(time_since_enter)
game_display.blit(FONT.render(message, True, BLACK), (20, 20))
draw_environment([blue_seats], [passengers])
pygame.display.flip()
clock.tick(60)
def generate_by_letter_assignment(plane, alternating, back_to_front):
seats = np.empty(plane.rows*(plane.seatsRight + plane.seatsLeft), dtype = Seat)
cols = list()
for i in range(0, plane.seatsLeft + plane.seatsRight):
new_col = np.empty(plane.rows, dtype = int)
for j in range(0, plane.rows):
new_col[plane.rows-j-1] = j
if not back_to_front:
np.random.shuffle(new_col)
cols.append(new_col)
index = 0
for j in range(0, len(cols)):
if alternating:
if j%2 == 0:
j = int(j/2)
else:
j = plane.seatsLeft + plane.seatsRight - 1 - int(j/2)
for i in range(0, plane.rows):
seats[index] = Seat(cols[j][i], j)
index += 1
return seats
def add_button(self):
if sys.getsizeof(self.seat) + sys.getsizeof(Seat) > sys.maxsize:
sub('리스트가 너무 큽니다.')
return
self.seat.append(Seat(parent=self, seat=self.seat))
from data import DATA
from seat import Seat
cleaned_data = DATA.splitlines()
if __name__ == "__main__":
seats = [Seat.from_string(data) for data in cleaned_data]
max_id = max([seat.id for seat in seats])
print("PART ONE\n=======")
print('Greatest passport ID: {}'.format(max_id))
sorted_ids = [seat.id for seat in sorted(seats, key=lambda seat: seat.id)]
expected_id = None
for id in sorted_ids:
if expected_id is None:
expected_id = id + 1
continue
if not id == expected_id:
break
expected_id = id + 1
print('Missing Seat ID: {}'.format(expected_id))
print("\nPART TWO\n=======")
def __init__(self):
Seat.__init__(self, (255, 145, 25), 10)
self.x = 100
self.y = 260
def create_movie_hall(cls, movie_halls_schema: dict):
seats = [
[Seat(index) if index else None for index in row]
for row in movie_halls_schema['rows']
]
return cls(int(movie_halls_schema['number']), seats)
def __init__(self, start_x, start_y, end_x, end_y):
Seat.__init__(self, (255, 145, 25), 10)
self.start_x = start_x
self.start_y = start_y
self.end_x = end_x
self.end_y = end_y
import sys
from seat import Seat
highest = 0
ids = [None] * 1024
with open(sys.argv[1]) as seats_input:
for seat in seats_input:
seat = Seat(seat.rstrip())
print(seat)
if seat.id >= highest:
highest = seat.id
ids[seat.id] = 1
started = False
for i, seat_id in enumerate(ids):
if not started:
if seat_id:
started = True
else:
if not seat_id:
my_seat = i
break
print(f'{ids}')
print(f'the highest id is {highest}')
print(f'my seat is {my_seat}')
def main(args):
# Read in the bounding box coordinates
if not os.path.isfile(args.seat_bb_csv):
print("Argument seat-bb-csv is not a file: {}".format(
args.seat_bb_csv))
exit()
# Each seat bounding box is in the format of [x0, y0, x1, y1]
seat_bounding_boxes = np.genfromtxt(args.seat_bb_csv,
delimiter=',',
dtype=np.int)
# seat_bounding_boxes //= downsample_ratio
num_seats = len(seat_bounding_boxes) - 1
# Open the video
if not os.path.isfile(args.video):
print("Argument video is not a file: {}".format(args.video))
exit()
cap = cv2.VideoCapture(args.video)
if not cap.isOpened():
raise IOError("Failed to open video: {}".format(args.video))
success, frame = cap.read() # Read the first frame
if not success:
print("Failed to read the first frame from : {}".format(args.video))
# Create the object detector from the frozen model
obj_detector = ObjectDetector(args.pretrained_model)
OBJ_DETECTION_THRESHOLD = 0.7
# Initialize Seats object
seats = []
table_bb = seat_bounding_boxes[0]
for seat in range(num_seats):
x0, y0, x1, y1 = seat_bounding_boxes[seat + 1]
seats.append(
Seat(frame[y0:y1, x0:x1], seat_bounding_boxes[seat + 1], table_bb))
SEAT_OVERLAP_THRESHOLD = 0.3
TOTAL_FRAME_COUNT = cap.get(cv2.CAP_PROP_FRAME_COUNT)
VIDEO_1_FRAME_COUNT = 525.0
VIDEO_2_FRAME_COUNT = TOTAL_FRAME_COUNT - VIDEO_1_FRAME_COUNT
progress_bar = tqdm(range(int(TOTAL_FRAME_COUNT)), unit='frames')
seat_labels = np.full((int(VIDEO_2_FRAME_COUNT), num_seats), -1, dtype=int)
# JUMP_TO_FRAME = 2100
# cap.set(cv2.CAP_PROP_POS_FRAMES, JUMP_TO_FRAME)
# progress_bar.update(JUMP_TO_FRAME)
if args.output:
frame_width, frame_height = int(cap.get(3)), int(cap.get(4))
out = cv2.VideoWriter(args.output,
cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), 30,
(frame_width, frame_height))
# Start the seat detection
# k = 0 # Skip frame counter
frame_count = 0
while True:
success, frame = cap.read() # Read the next frame
if not success:
break # No more frames
progress_bar.update()
# k += 1
# if k < 3: # Run every three frames
# continue
# k = 0
# frame = cv2.resize(frame, (frame_width, frame_height))
draw_frame = frame.copy()
boxes, scores, classes, num = obj_detector.processFrame(
frame) # Feed the image frame through the network
# Detect humen and chairs in the frame and get the bounding boxes
detected_person_bounding_boxes = []
detected_chair_bounding_boxes = []
for i, box in enumerate(boxes):
# Class 1 is "person"
if classes[i] == 1 and scores[i] > OBJ_DETECTION_THRESHOLD:
detected_person_bounding_boxes += [(box[1], box[0], box[3],
box[2])]
# Visualize
seat_utils.draw_box_and_text(draw_frame,
"human: {:.2f}".format(scores[i]),
box, CvColor.BLUE)
elif classes[i] == 62 and scores[i] > OBJ_DETECTION_THRESHOLD:
detected_chair_bounding_boxes += [(box[1], box[0], box[3],
box[2])]
# Visualize
seat_utils.draw_box_and_text(draw_frame,
"chair: {:.2f}".format(scores[i]),
box, CvColor.YELLOW)
# Store the seat status for comparison with ground truth
this_frame_seat_labels = np.full(num_seats, -1, dtype=int)
# Store the seat images for visualization
seat_img = [None for _ in range(num_seats)]
foreground_img = [None for _ in range(num_seats)]
for seat_id, this_seat in enumerate(seats):
this_seat_img = this_seat.get_seat_image(
frame) # Crop the image to seat bounding box
draw_img = this_seat.get_seat_image(draw_frame)
# Calculate overlap of the seat with each person bounding box
person_detected = False
for person_bb in detected_person_bounding_boxes:
overlap_percentage = calculate_overlap_percentage(
this_seat.bb_coordinates, person_bb, this_seat.bb_area)
if overlap_percentage > SEAT_OVERLAP_THRESHOLD:
person_detected = True # Enough overlap, mark as person detected in the seat
break # Person detected in the seat, no need to check other boxes
for chair_bb in detected_chair_bounding_boxes:
# overlap_area, _ = rectangle_overlap(this_seat.bb_coordinates, chair_bb)
# if overlap_area > rectangle_area(chair_bb)*0.7:
# # This chair is 70% within the seat bounding box
# this_seat.update_chair_bb(chair_bb)
relative_bb = get_overlap_rectangle(this_seat.bb_coordinates,
chair_bb,
relative=True)
if relative_bb is not None:
this_seat.update_chair_bb(relative_bb)
# Update the seat status
if person_detected:
this_seat.person_detected()
else:
this_seat.no_person_detected(this_seat_img)
# Put the seat status in the cropped image
x0, y0, x1, y1 = this_seat.table_bb
foreground = this_seat.check_leftover_obj(
this_seat_img, this_seat.CONTOUR_AREA_THRESHOLD)
# foreground = this_seat.ignore_chair(foreground)
foreground_img[seat_id] = foreground
foreground = cv2.cvtColor(foreground, cv2.COLOR_GRAY2BGR)
cv2.addWeighted(foreground, 0.3, draw_img[y0:y1, x0:x1], 0.7, 0,
draw_img[y0:y1, x0:x1])
seat_utils.put_seat_status_text(this_seat, draw_img)
seat_img[seat_id] = draw_img
# Store status for this seat
this_frame_seat_labels[seat_id] = this_seat.status.value
# SEE_SEAT = 1
# cv2.imshow("seat{}".format(SEE_SEAT), foreground_img[SEE_SEAT])
for seat in range(num_seats):
x0, y0, x1, y1 = seat_bounding_boxes[seat + 1]
draw_frame[y0:y1, x0:x1] = seat_img[seat]
frame_pos = cap.get(cv2.CAP_PROP_POS_FRAMES)
if frame_pos > VIDEO_1_FRAME_COUNT:
seat_labels[frame_count] = this_frame_seat_labels
frame_count += 1
if args.output:
out.write(draw_frame)
cv2.imshow("Preview", draw_frame)
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
cv2.imwrite("img/frame_{}.jpg".format(frame_pos), draw_frame)
# Video playback ended. Clean up
progress_bar.close()
obj_detector.close()
cap.release()
if args.output:
out.release()
cv2.destroyAllWindows()
# Store the labels for seats
np.savetxt("labels.csv",
seat_labels,
fmt="%s",
delimiter=',',
header='seat0,seat1,seat2,seat3')
def _get_seat(self, coordinates: tuple[int, int]) -> "Seat":
seat = self._seats.get(coordinates)
if seat is None:
seat = Seat(coordinates)
self._seats.update({coordinates: seat})
return seat
