def on_update(self, delta_time):
bubble(self.bars)
import sorting
import timeit
data = [1, 8, 3, 5, 6, 9, 2, 4]
start_time = timeit.default_timer()
sorting.bubble(data)
end_time = timeit.default_timer()
print('Bubble Sort : ', '%.15f' % (end_time - start_time))
start_time = timeit.default_timer()
sorting.bucket(data)
end_time = timeit.default_timer()
print('Bucket Sort : ', '%.15f' % (end_time - start_time))
start_time = timeit.default_timer()
sorting.comb(data)
end_time = timeit.default_timer()
print('Comb Sort : ', '%.15f' % (end_time - start_time))
start_time = timeit.default_timer()
sorting.counting(data)
end_time = timeit.default_timer()
print('Counting Sort : ', '%.15f' % (end_time - start_time))
start_time = timeit.default_timer()
sorting.maxheap(data)
end_time = timeit.default_timer()
print('Max Heap Sort : ', '%.15f' % (end_time - start_time))
start_time = timeit.default_timer()
import sorting print sorting.qsort([10,9,8,7,6,5,4,3,2,1]) print sorting.qsort([1,2,3,4,5,6,7,8,9,10]) print sorting.qsort([6,7,8,9,10,1,2,3,4,5]) print sorting.select([10,9,8,7,6,5,4,3,2,1]) print sorting.select([1,2,3,4,5,6,7,8,9,10]) print sorting.select([6,7,8,9,10,1,2,3,4,5]) print sorting.bubble([10,9,8,7,6,5,4,3,2,1]) print sorting.bubble([1,2,3,4,5,6,7,8,9,10]) print sorting.bubble([6,7,8,9,10,1,2,3,4,5])
def test_normalList(self):
sorting.bubble(self.nums)
self.assertEqual(self.nums, self.expected)
def random_object_generator(self,nr):
self.objects=[]
self.obstacles=[]
self.Glist=self.create_grid()
rand_obst=randint(2,3)
while rand_obst!=0:
rand_dimension=randint(45,60)
i=randint(0,len(self.Glist)-1)
pos=list(self.Glist)[i]
rand_x=pos[0]
rand_y=pos[1]
ok=1
#checking if the position is available
for x in range(rand_x-60,rand_x+61,30):
for y in range(rand_y-60,rand_y+61,30):
if (x,y)in self.Glist and self.Glist[(x,y)]==True:
pass
else:
ok=0
if ok:
for x in range(rand_x-60,rand_x+61,30):
for y in range(rand_y-60,rand_y+61,30):
self.Glist=self.occupy_grid(x,y)
ob4=Circle(rand_x,rand_y,rand_dimension,self.screen,self.yellow)
rand_obst=rand_obst-1
self.obstacles.append(ob4)
while nr>0:
rand_shape=randint(1,3)
rand_colour=randint(1,3)
colours={1:self.red,2:self.blue,3:self.green}
if rand_colour==1:
price=randint(4,6)
elif rand_colour==2:
price=randint(7,9)
elif rand_colour==3:
price=randint(1,3)
j=randint(0,len(self.Glist)-1)
pos=list(self.Glist)[j]
rand_x=pos[0]
rand_y=pos[1]
if rand_shape==1:
ok=1
for x in range(rand_x,rand_x+31,30):
for y in range(rand_y,rand_y+31,30):
if (x,y)in self.Glist and self.Glist[(x,y)]==True:
pass
else:
ok=0
if ok:
for x in range(rand_x,rand_x+31,30):
for y in range(rand_y,rand_y+31,30):
self.Glist=self.occupy_grid(x,y)
ob1=Square(rand_x,rand_y,price,45,self.screen,colours[rand_colour])
self.objects.append(ob1)
nr=nr-1
elif rand_shape==2:
ok=1
for x in range(rand_x,rand_x+31,30):
for y in range(rand_y,rand_y+31,30):
if (x,y)in self.Glist and self.Glist[(x,y)]==True:
pass
else:
ok=0
if ok:
for x in range(rand_x,rand_x+31,30):
for y in range(rand_y,rand_y+31,30):
self.Glist=self.occupy_grid(x,y)
ob2=Triangle(rand_x,rand_y,price,45,self.screen,colours[rand_colour])
self.objects.append(ob2)
nr=nr-1
elif rand_shape==3:
ok=1
for x in range(rand_x,rand_x+31,30):
for y in range(rand_y,rand_y+31,30):
if (x,y)in self.Glist and self.Glist[(x,y)]==True:
pass
else:
ok=0
if ok:
for x in range(rand_x,rand_x+31,30):
for y in range(rand_y,rand_y+31,30):
self.Glist=self.occupy_grid(x,y)
ob3=Rectangle(rand_x,rand_y,price,45,self.screen,colours[rand_colour])
self.objects.append(ob3)
nr=nr-1
sortedObjList = sorting.bubble(self.objects, user_input[9].lower(), user_input[8].lower())
for item in sortedObjList:
print(item)
pygame.display.update()
print(value)
if value == 9: # To know if their's a mean color or not
print('The mean color is ORANGE and RED')
else:
print('No mean color')
# B 2
highest_freq = 30
if highest_freq >= 30: # To determine the mostly worn color of shirt in the week
print("The color mostly worn throughout the week is BLUE")
else:
print("Others")
# B 3
value1 = sorting.bubble(q) # To determine the color that is median
print(value1)
value1a = np.median(value1)
print(value1a)
if value1a >= 5.5:
print("The color that is median is YELLOW AND PINK")
else:
print("No median color")
# B 4
value2 = np.var(q) # To get the variance of colors
print(value2) # value2 is the variance of colors
# B 5
value3 = stats.probplot(q) # value3 is the color is red