def __init__(self):
# init the renderer
self.renderer = renderer.Renderer(screen_width=80,
screen_height=50,
fps_limit=20)
# init the input
self.keyhandler = k() #keyhandler.KeyHandler()
# init the map
self.zone = zone.Zone()
# populate zone with roomer algorithm
self.zone.roomer(max_rooms=30)
# init fov
self.fov = renderer.Fov(algo=0, light_walls=True, light_radius=10)
# load zone information to fov
self.fov.read_zone(self.zone)
# create a player object in the zone and make him a fighter
self.player = entities.Actor('@',
'player',
libtcod.white,
blocks=True,
design=entities.Actor.designs.player,
ai=entities.AI.ais.player_control)
# put player to random coords inside the zone
self.zone.add_entity(self.player)
def __init__(self,
size=(DEFAULT_WIDTH, DEFAULT_HEIGHT),
title='MegaMinerAI Bland Title Text',
fullscreen=False):
self.window = Window(width=size[0],
height=size[1],
caption=title,
visible=True,
fullscreen=fullscreen,
resizable=True,
style=Window.WINDOW_STYLE_DEFAULT,
vsync=False,
display=None,
context=None,
config=None)
self.updates = []
# Set up the event dispatcher
self.ed = EventDispatcher()
self.ed.register_class_for_events(self)
# Build the game loader
self.loader = gameloader.GameLoader(self.ed)
#Build the renderer
self.renderer = renderer.Renderer()
# Request updates
self.request_update_on_draw(self.renderer.init_frame, 0)
self.request_update_on_draw(self.renderer.draw_frame, 100)
def __init__(self, getter, initial_resolution=1024):
self.renderer = renderer.Renderer(
initial_resolution=initial_resolution)
self.renderer.show_fps = True
self.getter = getter
self.game_is_in_interpolating_mode = False
self.saved_first_index_selected = -1
self.saved_second_index_selected = -1
self.counter_start = 0
self.latent_vector_size = 512
self.saved_already = 0
self.keep_p1 = False # special case for v0b
self.toggle_save_frames_in_loop = False
# network hacking
self.multiplier_value = 1.0
self.target_tensor = 0
##self.target_tensors = ["16x16/Conv0_up/weight", "32x32/Conv0_up/weight", "64x64/Conv0_up/weight", "128x128/Conv0_up/weight", "256x256/Conv0_up/weight"]
self.target_tensors = [
"16x16/Conv0/weight", "32x32/Conv0/weight", "64x64/Conv0/weight",
"128x128/Conv0/weight", "256x256/Conv0/weight"
] # << Pre-trained PGGAN has these
self.convolutional_layer_reconnection_strength = 0.3
# plotting:
self.plotter = plotter.Plotter(self.renderer, getter)
def main(filename, num_frames=None):
[unscrambled, scrambled] = parser.parse_file(filename)
frames = []
def callback(pos, world, ticks, hopper_contents, capacity):
world = copy.deepcopy(world)
for x in range(len(world)):
for y in range(len(world[x])):
world[x][y].append(None)
x, y, z = pos
world[x][y][z] = (0, 255, 0)
frames.append((ticks, world, hopper_contents, capacity))
d = drone.Drone(scrambled, 0, 0, callback)
b = brain.Brain(d, unscrambled)
try:
b.mainloop()
except AssertionError:
traceback.print_exc()
r = renderer.Renderer()
if num_frames is None:
r.animate(frames)
else:
r.animate(frames[::len(frames)//int(num_frames)] + [frames[-1]])
def task_load_map(self, file):
try:
self.camera = camera.Camera()
self.element_tree = None
self.osm_helper = None
self.renderer = None
from gc import collect as gc_collect
gc_collect()
log('-- loading map:', file)
self._status(status='parsing xml')
self.element_tree = ElementTree.parse(file)
gc_collect()
self.renderer = renderer.Renderer(self.camera, self.element_tree)
try:
self.osm_helper = self.renderer.osm_helper
except AttributeError:
log('Could not find OsmHelper in Renderer, creating a duplicate in Gui',
level=2)
self.osm_helper = osm_helper.OsmHelper(self.element_tree)
self.settings = {}
self.renderer.center_camera()
self.settings['zoom'] = self.camera.zoom_level
self.dirty = True
log('-- map loaded')
except FileNotFoundError:
log('File {} does not exist.'.format(file), level=3)
log(level=3)
log('Use "{0} -f FILE" to specify a map file or "{0} -h" to show help.'
.format(sys.argv[0]),
level=3)
def __init__(self, screen):
self.screen = screen
self.renderer = renderer.Renderer('level.tmx')
self.full_map = self.renderer.make_map()
self.viewport = self.make_viewport(self.full_map)
self.level_surface = self.make_level_surface(self.full_map)
self.blockers = self.make_blockers('collision')
def __init__(self):
self.done = False
self.next = None
self.quit = False
self.previous = None
self.screen = (10, 10)
self.r = renderer.Renderer(self.screen)
def __init__(self, render, xml_file):
if render:
self.renderer = renderer.Renderer(600, 500, 'Maze Simulator')
self.env = env.Environment(xml_file)
self.pois_reached = [False] * len(self.env.pois)
self.reached_goal = False
def test_render_char_head_file_error(self):
rend = renderer.Renderer()
with pytest.raises(
FileNotFoundError,
match=r"Head sprite file bin/bad_file.spr is not found"):
rend.render_char("bin/taekwon.spr", "bin/bad_file.spr",
"out_file_path.bmp")
def __init__(self, fractal):
self.rules = fractal['rules']
self.axiom = fractal['axiom']
self.turn_angle = fractal['turn_angle']
self.draw_forward = fractal['draw_forward']
self.move_forward = fractal['move_forward']
self.starting_angle = fractal['starting_angle']
self.renderer = renderer.Renderer(800, 600, 10, self.starting_angle)
def __init__(self, args, is_train=True):
if '-light' in args.net_G:
CANVAS_WIDTH = 32
else:
CANVAS_WIDTH = 128
self.rderr = renderer.Renderer(renderer=args.renderer,
CANVAS_WIDTH=CANVAS_WIDTH,
train=True)
self.is_train = is_train
def __init__(self, *args, **kwargs):
"""Initialize a new http client for the grafana API."""
self.http_client = http.HTTPClient(*args, **kwargs)
self.http_client.login()
self.orgs = organizations.OrganizationManager(self.http_client)
self.users = users.UserManager(self.http_client)
self.dashboards = dashboards.DashboardManager(self.http_client)
self.datasources = datasources.DatasourceManager(self.http_client)
self.renderer = renderer.Renderer(self.http_client)
def __init__(self, args, dataloaders):
self.dataloaders = dataloaders
self.rderr = renderer.Renderer(renderer=args.renderer)
# define G
self.net_G = define_G(rdrr=self.rderr, netG=args.net_G).to(device)
# Learning rate
self.lr = args.lr
# define optimizers
self.optimizer_G = optim.Adam(self.net_G.parameters(),
lr=self.lr,
betas=(0.9, 0.999))
# define lr schedulers
self.exp_lr_scheduler_G = lr_scheduler.StepLR(self.optimizer_G,
step_size=100,
gamma=0.1)
# define some other vars to record the training states
self.running_acc = []
self.epoch_acc = 0
self.best_val_acc = 0.0
self.best_epoch_id = 0
self.epoch_to_start = 0
self.max_num_epochs = args.max_num_epochs
self.G_pred_foreground = None
self.G_pred_alpha = None
self.batch = None
self.G_loss = None
self.is_training = False
self.batch_id = 0
self.epoch_id = 0
self.checkpoint_dir = args.checkpoint_dir
self.vis_dir = args.vis_dir
# define the loss functions
self._pxl_loss = loss.PixelLoss(p=2)
self.VAL_ACC = np.array([], np.float32)
if os.path.exists(os.path.join(self.checkpoint_dir, 'val_acc.npy')):
self.VAL_ACC = np.load(
os.path.join(self.checkpoint_dir, 'val_acc.npy'))
# check and create model dir
if os.path.exists(self.checkpoint_dir) is False:
os.mkdir(self.checkpoint_dir)
if os.path.exists(self.vis_dir) is False:
os.mkdir(self.vis_dir)
# visualize model
if args.print_models:
self._visualize_models()
def __init__(self, args, device=DEVICE):
self.args = args
self.device = device
self.rderr = renderer.Renderer(renderer=args.renderer,
CANVAS_WIDTH=args.canvas_size,
canvas_color=args.canvas_color)
# define G
self.net_G = define_G(rdrr=self.rderr, netG=args.net_G).to(device)
# define some other vars to record the training states
self.x_ctt = None
self.x_color = None
self.x_alpha = None
self.G_pred_foreground = None
self.G_pred_alpha = None
self.G_final_pred_canvas = torch.zeros([1, 3, 128, 128]).to(device)
self.G_loss = torch.tensor(0.0)
self.step_id = 0
self.anchor_id = 0
self.renderer_checkpoint_dir = args.renderer_checkpoint_dir
self.output_dir = args.output_dir
self.lr = args.lr
# define the loss functions
self._pxl_loss = loss.PixelLoss(p=1)
self._sinkhorn_loss = loss.SinkhornLoss(epsilon=0.01,
niter=5,
normalize=False)
# some other vars to be initialized in child classes
self.input_aspect_ratio = None
self.img_path = None
self.img_batch = None
self.img_ = None
self.final_rendered_images = None
self.m_grid = None
self.m_strokes_per_block = None
if os.path.exists(self.output_dir) is False:
os.mkdir(self.output_dir)
if os.path.exists(args.vector_file):
npzfile = np.load(args.vector_file)
print(npzfile['x_ctt'].shape)
print(npzfile['x_color'].shape)
print(npzfile['x_alpha'].shape)
self.x_ctt = np.copy(npzfile['x_ctt'][:, ::-1, :])
self.x_color = np.copy(npzfile['x_color'][:, ::-1, :])
self.x_alpha = np.copy(npzfile['x_alpha'][:, ::-1, :])
self.m_grid = int(np.sqrt(self.x_ctt.shape[0]))
self.anchor_id = self.x_ctt.shape[1] - 1
def __init__(self, width, height):
self.renderer = renderer.Renderer()
self.clock = pygame.time.Clock()
self.width = width
self.height = height
self.t_elapsed = 0
self.fps = 0
self.base_scene = None
self._focus_scene_stack = []
def __init__(self):
self.saveManager = saveManager.SaveManager()
if input("Load level? y/n \n> ") == "y":
self.level = self.saveManager.loadLevel(
int(input("Enter level id:\n> ")))
else:
self.level = level.Level()
self.level.width = int(input("Enter width:\n> "))
self.level.height = int(input("Enter height:\n> "))
self.camera = camera.Camera()
self.renderer = renderer.Renderer(self.camera,
self.level,
editorMode=True)
self.running = True
self.mouseDown = False
self.mouseX = 0
self.mouseY = 0
self.absMouseX = 0
self.absMouseY = 0
self.clicked = False
self.keysDown = {
"esc": False,
"w": False,
"a": False,
"s": False,
"d": False,
"q": False,
"e": False,
"z": False,
"x": False,
"ctrl": False
}
self.keysPressed = {
"esc": False,
"w": False,
"a": False,
"s": False,
"d": False,
"q": False,
"e": False,
"z": False,
"x": False,
"ctrl": False
}
self.currentTime = time.clock()
self.timePassed = 0
self.gridLock = 4
self.mode = MODE_WALLS
self.idSelected = 0
pygame.font.init()
self.uiFont = pygame.font.SysFont("Arial", 30)
self.mainLoop()
def __init__(self, filename_obj='./data/obj/sphere_642.obj', lambda_smoothness=0.):
super(Model, self).__init__()
self.lambda_smoothness = lambda_smoothness
self.vertices_predicted_a = None
self.vertices_predicted_b = None
with self.init_scope():
self.encoder = ResNet18(dim_out=512)
self.decoder = Decoder(filename_obj)
self.smoothness_loss_parameters = loss_functions.smoothness_loss_parameters(self.decoder.faces)
self.renderer = renderer.Renderer()
self.renderer.image_size = 128
self.renderer.viewing_angle = 15.
self.renderer.anti_aliasing = True
def graphicsInitialisation():
global mapRenderer, assetManager
assetManager = assets.AssetManager()
assetManager.addImage("grass", "assets/images/test8060.png")
assetManager.addImage("water", "assets/images/test8060water.png")
assetManager.addImage("wall", "assets/images/test80Object.png")
assetManager.addImage("robot1", "assets/images/test80robot1.png")
assetManager.addImage("robot2", "assets/images/test80robot2.png")
assetManager.addImage("hoverGround", "assets/images/test80Hover.png")
assetManager.addImage("healthbar", "assets/images/healthbar.png")
assetManager.addImage("healthstatus", "assets/images/healthstatus.png")
assetManager.addImage("selectedCursor", "assets/images/test80Cursor.png")
assetManager.load()
backgroundColor = 16, 17, 18
mapRenderer = renderer.Renderer(assetManager, backgroundColor)
def __init__(self, args):
self.args = args
self.rderr = renderer.Renderer(
renderer=args.renderer,
CANVAS_WIDTH=args.canvas_size,
canvas_color=args.canvas_color,
)
# define G
self.net_G = define_G(rdrr=self.rderr, netG=args.net_G).to(device)
# define some other vars to record the training states
self.x_ctt = None
self.x_color = None
self.x_alpha = None
self.G_pred_foreground = None
self.G_pred_alpha = None
self.G_final_pred_canvas = torch.zeros(
[1, 3, self.net_G.out_size, self.net_G.out_size]).to(device)
self.G_loss = torch.tensor(0.0)
self.step_id = 0
self.anchor_id = 0
self.renderer_checkpoint_dir = args.renderer_checkpoint_dir
self.output_dir = args.output_dir
self.lr = args.lr
# define the loss functions
self._pxl_loss = loss.PixelLoss(p=1)
self._sinkhorn_loss = loss.SinkhornLoss(epsilon=0.01,
niter=5,
normalize=False)
# some other vars to be initialized in child classes
self.input_aspect_ratio = None
self.img_path = None
self.img_batch = None
self.img_ = None
self.final_rendered_images = None
self.m_grid = None
self.m_strokes_per_block = None
if os.path.exists(self.output_dir) is False:
os.mkdir(self.output_dir)
def main():
fun = StrangeFun()
simAnnealing = SimulatedAnnealing(fun,
localMovement=False,
dxMovement=0.1,
tStart=15.0,
tEnd=3.0)
ren = renderer.Renderer(w=800,
h=800,
samples=8,
distance=(fun.maxx - fun.minx),
updateFun=simAnnealing.run,
updateTime=0.01)
simAnnealing.add_callback(ren.unschedule)
ren.addToRender(simAnnealing)
ren.addToRender(fun)
ren.run()
def to_wire(self, origin=None, max_size=0, **kw):
"""Return a string containing the message in DNS compressed wire
format.
Additional keyword arguments are passed to the rrset to_wire()
method.
@param origin: The origin to be appended to any relative names.
@type origin: mname.Name object
@param max_size: The maximum size of the wire format output; default
is 0, which means 'the message's request payload, if nonzero, or
65536'.
@type max_size: int
@raises exception.TooBig: max_size was exceeded
@rtype: string
"""
if max_size == 0:
if self.request_payload != 0:
max_size = self.request_payload
else:
max_size = 65535
if max_size < 512:
max_size = 512
elif max_size > 65535:
max_size = 65535
r = renderer.Renderer(self.id, self.flags, max_size, origin)
for rrset in self.question:
r.add_question(rrset.name, rrset.rdtype, rrset.rdclass)
for rrset in self.answer:
r.add_rrset(renderer.ANSWER, rrset, **kw)
for rrset in self.authority:
r.add_rrset(renderer.AUTHORITY, rrset, **kw)
if self.edns >= 0:
r.add_edns(self.edns, self.ednsflags, self.payload, self.options)
for rrset in self.additional:
r.add_rrset(renderer.ADDITIONAL, rrset, **kw)
r.write_header()
if not self.keyname is None:
r.add_tsig(self.keyname, self.keyring[self.keyname], self.fudge,
self.original_id, self.tsig_error, self.other_data,
self.request_mac, self.keyalgorithm)
self.mac = r.mac
return r.get_wire()
def __init__(self, width, height):
self.width = width
self.height = height
self.camera = camera.Camera(Vec2(0, 0), width, height)
self.input_handler = input_handler.InputHandler()
self.renderer = renderer.Renderer(self.width, self.height)
self.fps = 60
self.player = player.Player(width/2, height/2)
## Stores all of the enemies, currently creates them
self.enemies = [enemy.Enemy(10, 100, (255,0,0))]
self.reflected_bullets = []
self.unreflected_bullets = []
self.regular_updates_per_render = 10
self.updates_per_render = self.regular_updates_per_render
self.updates_since_render = 0
self.slomo_updates_per_render = 1
def __init__(self, w, h):
self.G = 6.67384 * (10**-11)
self.bodies = []
self.camera = camera.Camera(w, h)
self.w = w
self.h = h
self.FPS = 100
self.update_count = 0
self.updates_per_render = 15
#Renderer object
self.renderer = renderer.Renderer(w, h)
# dt is the timestep in seconds
self.dt = IntPointer(30000.0 * self.FPS)
#Stack of mouse objects. The first item in the list should be prioritised last
self.mouse_objects_stack = [self.camera]
#List of infolabels that exist
self.infolabels = []
#Add all gui elements
self.add_gui()
self.body_being_created = None
self.editing_body = False
#The current mouse object that is being clicked
self.grabbed_mouse_object = None
#Stores the options flags (e.g. render_tracers, render_planet_labels)
self.flags = flags_file.RENDER_TRACERS + flags_file.RENDER_PLANET_LABELS + flags_file.SHADOWS + flags_file.REALISTIC
self.planet_shadow = pygame.image.load("../res/shadow.png")
# coords for 2D positions.
cam = pi3d.Camera(is_3d=False, at=(0, 0, 0), eye=(0, 0, -1000))
light = pi3d.Light(lightpos=(0, -500, -500), lightamb=(0.2, 0.2, 0.2))
# eyeRadius is the size, in pixels, at which the whole eye will be rendered
# onscreen. eyePosition, also pixels, is the offset (left or right) from
# the center point of the screen to the center of each eye.
eyePosition = OLED_WIDTH // 2 + GAP // 2
eyeRadius = OLED_WIDTH / 2.1
rightEye = eye.Eye(eyeRadius, -eyePosition, 0, True)
leftEye = eye.Eye(eyeRadius, eyePosition, 0, False)
eyesModel = model.TwoEyesModel()
renderer = renderer.Renderer(display, [leftEye, rightEye], eyesModel)
leftOLEDCopier = copier.FrameCopier(
renderer, leftOLED, displayWidth // 2 - eyePosition - OLED_WIDTH // 2, 0)
rightOLEDCopier = copier.FrameCopier(
renderer, rightOLED, displayWidth // 2 + eyePosition - OLED_WIDTH // 2, 0)
leftOLEDCopier.start()
rightOLEDCopier.start()
thread.start_new_thread(controlThread, (renderer, eyesModel))
# Renderer's run() method never returns. And of course it needs to be invoked from the main thread.
# Because pi3d...
renderer.run()
import sys, pygame, renderer, tile, player
pygame.init()
n = 10
m = 10
r = renderer.Renderer(n, m)
while 1:
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
elif event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
pygame.event.post(pygame.event.Event(pygame.QUIT))
r.render()
print("________________/\\\\\\________________/\\\\\\\\\\\\_____/\\\\\\\\\\\\_________________________________ ")
print(" _______________\\/\\\\\\_______________\\////\\\\\\____\\////\\\\\\_________________________________ ")
print(" _______________\\/\\\\\\__________/\\\\\\____\\/\\\\\\_______\\/\\\\\\_________________________________ ")
print(" _____/\\\\\\\\\\\\\\\\_\\/\\\\\\_________\\///_____\\/\\\\\\_______\\/\\\\\\_____/\\\\\\\\\\\\\\\\\\_____/\\\\\\____/\\\\\\_ ")
print(" ___/\\\\\\//////__\\/\\\\\\\\\\\\\\\\\\\\___/\\\\\\____\\/\\\\\\_______\\/\\\\\\____\\////////\\\\\\___\\///\\\\\\/\\\\\\/__ ")
print(" __/\\\\\\_________\\/\\\\\\/////\\\\\\_\\/\\\\\\____\\/\\\\\\_______\\/\\\\\\______/\\\\\\\\\\\\\\\\\\\\____\\///\\\\\\/____ ")
print(" _\\//\\\\\\________\\/\\\\\\___\\/\\\\\\_\\/\\\\\\____\\/\\\\\\_______\\/\\\\\\_____/\\\\\\/////\\\\\\_____/\\\\\\/\\\\\\___ ")
print(" __\\///\\\\\\\\\\\\\\\\_\\/\\\\\\___\\/\\\\\\_\\/\\\\\\__/\\\\\\\\\\\\\\\\\\__/\\\\\\\\\\\\\\\\\\_\\//\\\\\\\\\\\\\\\\/\\\\__/\\\\\\/\\///\\\\\\_ ")
print(" ____\\////////__\\///____\\///__\\///__\\/////////__\\/////////___\\////////\\//__\\///____\\///__")
print()
print("\t\t\t Welcome to the our lovely solution to")
print("\t\t\t IF2123 Geometric Algebra's 2nd Big Mission")
print()
dimension = input('Please choose between "2D" or "3D": ')
while ((dimension != "3D") and (dimension != "2D")):
dimension = input('Please enter valid input ("2D" or "3D"): ')
else:
print("Your input is " + dimension)
if (dimension == "3D"):
s.points = [[100,100,100],[100,100,-100],[100,-100,100],[100,-100,-100],[-100,100,100],[-100,100,-100],[-100,-100,100],[-100,-100,-100]]
s.points_backup = s.points[:]
s.points_before = s.points[:]
# MAIN
s = shape.Shape()
welcomeScreen()
showCmds()
renderer = renderer.Renderer(s, dimension)
renderer.render()
def render(self):
htmlrenderer = renderer.Renderer(result=self.result)
htmlrenderer.run()
# see CHANGELOG.md for detailed changes in each version
#
# (c) 2017 kj/P1X
#
import world
import renderer
import time
import players
import config
import sys
import select
import os
wrd = world.World()
ren = renderer.Renderer()
plr = players.Players(wrd)
cfg = config.Config()
wrd.load_map('map_02.txt')
width, height = wrd.get_map_dimensions()
plr.set_master_id(plr.player_join(('HUMAN', 28, 12, 0, 3)))
plr.player_join(('ROBOT1', 7, 4, 1, 1))
plr.player_join(('ROBOT2', 40, 12, 1, 1))
plr.player_join(('ROBOT3', 70, 8, 1, 1))
plr.player_join(('ROBOT4', 60, 9, 1, 1))
plr.player_join(('ROBOT5', 70, 10, 1, 1))
game_time = 0
def __init__(self):
self.renderer = renderer.Renderer()
self.field = field.Field.generate_field()
def GamePlayButtonClicked(self):
director.replace(FadeTransition(renderer.Renderer(cfg.loadedLevel, cfg.loadedGameMode), duration = 1))
