def setup():
global e, model, obs
p.size(800, 600)
e = Env(width, height)
model = DQN.load("ball_blast_dqn_25000")
obs = e.reset()
def setup():
global point_a
global point_b
size(600, 360)
background(255)
point_a = Vector(100, 300)
point_b = Vector(400, 100)
def setup():
size(400, 300)
global fountain
global field
field_strength = 4
field = FlowField(field_strength)
fountain = ParticleSystem()
def setup():
size(400, 300)
global brum
global field
field_strength = 4
brum = Vehicle()
field = FlowField(field_strength)
def setup():
size(800, 600)
global vehicles
global path
vehicles = ParticleSystem()
path = Path()
path.populate()
def setup():
ratio = 1.8
pf.size(1280 / ratio, 720 / ratio)
pf.text_font(font)
pf.text_size(50)
pf.no_stroke()
pf.no_loop()
def setup():
size(640, 360)
no_stroke()
background(0)
global perlx
global perly
perlx = random_uniform(1000)
perly = 0
def setup():
global Man, wordDisplay, newLetter, Game
print(word)
p5.size(400, 500)
Man = HangmanDrawing(width / 4, 200, width / 2, 200, 0)
Game = HangmanGame(word)
Game.revealed = "*" * len(word)
wordDisplay = HangmanWordDisplay(height / 2 + 20, width)
newLetter = " "
def setup():
global img_L, t1
ratio = 1.2
pf.size(win_w / ratio, win_h / ratio)
pf.text_font(font)
# pf.no_stroke()
# pf.no_loop()
t1 = time.time()
pr.enable()
def setup():
global LeftPlanet,RightPlanet
p5.scale(1,-1)
p5.size(1500,700)
p5.translate(0,-height)
LeftPlanet=Planet(0,height/2,1,[10,0],25,trail=1)
LeftPlanet.pos.x+=LeftPlanet.r
RightPlanet=Planet(width,height/2,1,[-10,0],25,trail=1)
RightPlanet.pos.x-=RightPlanet.r
def setup():
# toplar değişkenini değiştirabilmek için global anahtar kelimesi kullanıldı
global toplar
# widthxheight ebatlarında bir pencere oluşturuldu
p5.size(width, height)
# toplar dizi değişkeninin içine 20 adet Top objesi yerleştiriliyor
for _ in range(20):
# Konum, Hız ve çap değerleri rastgele seçiliyor
toplar.append(
Top(randint(5, width - 5), randint(5, height - 5), randint(-7, 7),
randint(-7, 7), randint(5, 10)))
def setup():
# isimler adlı değikeni düzenleyebilmek için global
global isimler
# Pencere boyutu ayarla
p5.size(1920, 1080)
# isimler listesini al
isimler = isimleri_al()
# çizgi rengi belirle
p5.stroke(p5.Color(41, 255, 41, 41))
# çizgi kalınlığı belirle
p5.stroke_weight(3)
def __init__(self, w=900, h=600):
# prediction
self.brain = Brain.Deep_Learning()
self.brain.load_from_backup(
"/Users/maxime/Downloads/lang_pong_py/saved/deep_learning_2019-03-11 18:54:52.634303_.h5"
)
self.brain.load_data()
self.brain.setup_model()
if isinstance(self.brain, Brain.Neural_Network):
self.batch_size = 70
self.epochs = 150
elif isinstance(self.brain, Brain.Deep_Learning):
self.batch_size = 50
self.epochs = 40
else:
self.batch_size = 0
self.epochs = 0
# global const
self.width = w
self.height = h
self.offset = 5
p5.size(self.width, self.height)
self.should_serve = True
self.paused = True
self.serve_user = True
self.user_interaction = 0
self.gathering_DL_data = False
self.trainings = []
self.draw_prediction = False
self.last_prediction = None
self.speed_factor = 1.4
self.block_height = self.height / 5.0
self.block_width = self.width / 50.0
self.ball_radius = self.height / 40.0
self.speed = self.block_height * 0.09
self.user = Block(0, 0)
self.machine = Block(self.width - self.block_width, 0)
self.ball = Ball(0, 0)
self.serve()
self.printScore()
self.frame_rate = 0
def setup():
if verbose:
print(f"Setting up.")
if fn_img:
furthest_element = img.height
size(img.width, img.height)
else:
furthest_element = df.location.str.get('y').max()
furthest_element_height = df[df.location.str.get(
'y') == furthest_element].dimensions.str.get('height').tolist()[0]
length = int(furthest_element_height + furthest_element + 10)
size(375, length)
if verbose:
print(f"Length of canvas is {furthest_element} px.")
no_loop()
def setup():
size(640, 480)
global fountains
global gravity
global wind
global repeller
repeller = Repeller(Vector(width / 2, height - 100), 40)
wind = Wind()
ground = SurfaceGravity()
gravity = ground.attract()
initial_num_of_fountains = 2
fountains = []
for i in range(initial_num_of_fountains):
fountains.append(ParticleSystem(i * 100, i * 100, i))
def setup():
global planet, moon
p5.scale(1, -1)
p5.size(1500, 700)
p5.translate(0, -height)
planet = Planet(width / 2, height / 2, 20, [0, 0], 500, trail=0)
moon = Planet(width / 2,
planet.pos.y + planet.r + 50,
1, [0, 0],
10,
trail=1)
#0,1,2,5,7,7.5,7.7,7.8,7.82
min_orbit_vx = np.sqrt(
((G * planet.m) / (abs(moon.initpos.y - planet.initpos.y))))
#moon.vel.x=min_orbit_vx
print(min_orbit_vx)
def setup():
# global simulation
# this happens just once
size(simulation.width, simulation.height) # instead of create_canvas
def setup():
p5.size(2 * res, res)
p5.background(240, 238, 225)
def setup():
size(WIDTH, HEIGHT)
def setup():
p.size(600, 600)
p.rect_mode('CENTER')
p.color_mode('HSB')
def setup():
p.size(width, height)
p.no_fill()
def setup():
global walker
p5.size(400, 400)
walker = Walker(width / 2, height / 2)
def setup():
p.size(600, 600)
def setup():
size(498,298)
global vehicles
vehicles = ParticleSystem()
def setup(self):
p5.size(self.window_width, self.window_height)
p5.background(0)
p5.no_loop()
def setup():
p.rect_mode('CENTER')
p.size(width, height)
def setup():
global height, width
p.size(width, height) # size must be the first statement
def setup():
p5.size(16 * 40, 16 * 40)
def setup():
#once call at RUN
#set-up: canvas size
size(width, heigth)
def setup():
# Pencereyi tanımlanan boyutta oluştur
p5.size(w, h)
