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)