def window_resize(self):
data = core.get_item_rect_size(self.windowName)
core.clear_drawing(self.pictureName)
core.draw_image(self.pictureName,
self.picturePath,
pmin=[0, 0],
pmax=[data[0] - 10, data[1] - 30])
def clear(self) -> None:
"""Clears the drawing.
Warning:
Any :class:`.DrawCommand` objects created using this canvas must not be used after this
method is called.
This includes reading or writing to any properties of :class:`DrawCommand` objects.
"""
dpgcore.clear_drawing(self.id)
def __threadRestart(self, filename: str):
core.clear_drawing("Canvas")
self.__play(0)
self.__head = 0
fp = f"{self.__root}/{filename}"
probe = ffmpeg.probe(fp)
video_info = next(stream for stream in probe['streams']
if stream['codec_type'] == 'video')
self.__width = int(video_info['width'])
self.__height = int(video_info['height'])
self.__frameCount = int(video_info['nb_frames'])
global _BUFFER
_BUFFER = [[0, 0, 0, 0] * self.__width * self.__height
] * self.__frameCount
# kill the old if there...
if self.__thread:
self.__thread._stop()
self.__thread = Process(fp, self.__width, self.__height)
self.__thread.start()
def draw_visualisation(self):
maxNeurons = max(self.containerData.listOfLayerNeurons) if max(self.containerData.listOfLayerNeurons) <10 else 10
ratio = (self.containerData.numberOfLayers) / maxNeurons
if (self.height > self.width * ratio):
gap = int(self.width / (self.scaleParam*maxNeurons))
radius = int(self.width / (self.scaleParam * 6 * maxNeurons))
thickness = int(self.width / 1200)
else:
gap = int(self.height / (self.scaleParam*self.containerData.numberOfLayers))
radius = int(self.height / (self.scaleParam*(6 * self.containerData.numberOfLayers)))
thickness = int(self.height / 1200)
core.clear_drawing(self.drawingName)
for layer in range(self.containerData.numberOfLayers):
if (self.containerData.listOfLayerTypes[layer] == 'Activation') or (self.containerData.listOfLayerTypes[layer] == 'Flatten'):
self.containerData.listOfLayerNeurons[layer] = 1
additionalNeurons = self.containerData.listOfLayerNeurons[layer] - 10
outputString = ('\n+' + str(additionalNeurons) + " more")
core.draw_text(self.drawingName, pos=[self.width - gap, self.coordinate_of_text(layer, 0, gap)[1]], text=(self.containerData.listOfLayerTypes[layer]+"\n"+self.containerData.listOfActivations[layer]
+(outputString if additionalNeurons > 0 else '')), color=self.white, size=radius)
for layer in range(self.containerData.numberOfLayers):
for neuron in range(self.containerData.listOfLayerNeurons[layer] if self.containerData.listOfLayerNeurons[layer]<10 else 10):
if layer != self.containerData.numberOfLayers - 1:
for nextNeuron in range(self.containerData.listOfLayerNeurons[layer+1] if self.containerData.listOfLayerNeurons[layer+1]<10 else 10):
core.draw_line(self.drawingName, self.coordinate_of(layer, neuron, gap),
self.coordinate_of(layer + 1, nextNeuron, gap), color=self.grey,
thickness=thickness)
for layer in range(self.containerData.numberOfLayers):
if layer == 0:
color = [0, 200, 0, 255]
elif layer == self.containerData.numberOfLayers - 1:
color = [200, 0, 0, 255]
else:
color = [0, 0, 200, 255]
if (self.containerData.listOfLayerTypes[layer] != 'Activation') and (self.containerData.listOfLayerTypes[layer] != 'Flatten'):
for neuron in range(self.containerData.listOfLayerNeurons[layer] if self.containerData.listOfLayerNeurons[layer]<10 else 10):
core.draw_circle(self.drawingName, self.coordinate_of(layer, neuron, gap), radius, color=color, fill=color)
else:
core.draw_triangle(self.drawingName, p1=[self.width/2-self.width/30, layer*gap+gap/2], p2=[self.width/2 - self.width/30 - gap/2, layer*gap], p3=[self.width/2-self.width/30+gap/2, layer*gap], color=self.white, fill=self.white)
def process(sender, data):
"""
Sends the data to SimpleCTG.
"""
directory = core.get_value('directory')
file_directory = core.get_value('file_directory')
opt_level = core.get_value('opt_level')
num_of_iter = core.get_value('##num_of_iter')
# converts layout type to boolean for SimpleCTG
temp = core.get_value('layout_type')
if temp == 0:
layout_type = True
else:
layout_type = False
# chooses the device
if core.get_value('device_type') == 0:
architecture = gui.backend_dict[0]
arbitrary = False
elif core.get_value('device_type') == 1:
architecture = gui.backend_dict[core.get_value('architecture') + 1]
arbitrary = False
else:
# load arbitrary couplings from file
with open('arbitrary_coupling.pickle', 'rb') as arbitrary_file:
custom_dict = pickle.load(arbitrary_file)
for name, number in zip(custom_dict, range(len(custom_dict))):
if number == core.get_value('architecture'):
arhi_name = name
architecture = custom_dict[arhi_name]
arbitrary = True
try:
infoStr, circuit_features = SimpleCTG.gui_interaction(
file_directory, directory, layout_type, opt_level, architecture,
num_of_iter, arbitrary)
# show program output
core.configure_item('Program output will be displayed here',
color=[255, 255, 255])
core.draw_image('input_circuit',
circuit_features['logical_graph'], [0, 500],
pmax=[200, 500])
core.draw_image('output_circuit',
circuit_features['reduced_graph'], [0, 500],
pmax=[200, 500])
gui.qasm_file = circuit_features['qasm_file']
core.set_value('##circuitImage', circuit_features['ibm_circuit'])
gui.projection_map = circuit_features['mapping']
core.set_value(
'Program output will be displayed here', "Processed file: " +
core.get_value('file_directory') + "\n" + infoStr)
core.configure_item('Open qasm file', show=True)
core.configure_item('Mapping', show=True)
core.configure_item('Path to IBM circuit representation', show=True)
except Exception as ex:
# if error, then makes text red and removes features
core.configure_item('Program output will be displayed here',
color=[255, 0, 0])
core.set_value(
'Program output will be displayed here', "Processed file: " +
core.get_value('file_directory') + "\n" + traceback.format_exc())
core.clear_drawing('input_circuit')
core.clear_drawing('output_circuit')
core.configure_item('Open qasm file', show=False)
core.configure_item('Mapping', show=False)
core.configure_item('##circuitImage', show=False)
core.configure_item('Path to IBM circuit representation', show=False)
def update_alternative(self):
core.clear_drawing(self.pictureName)
self.window_resize()
def update_picture(self):
core.clear_drawing(self.pictureName)
core.render_dearpygui_frame()
self.window_resize()
def clear(self):
"""
Clears the canvas drawing
"""
c.clear_drawing(self.name)
def draw_board(self):
"""
Dibuja el tablero pegando las piezas en una imagen vacia
"""
p_size = self.piece_size
dpg.clear_drawing('canvas')
board = Image.new('RGB',(self.size,self.size))
for row in range(8):
for col in range(8):
piece = self.board[row][col]
piece = '' if piece == '_E' else piece
x = p_size*col
y = p_size*row
if (-1)**(row+col) == 1: # fondo blanco
im = Image.open(self.piece_p(str(piece)+'b'))
else: # fondo negro
im = Image.open(self.piece_p(str(piece)+'n'))
im = im.resize((p_size,p_size))
# color boxes
color = self.colored_boxes[row][col]
if color:
size = (self.piece_size,self.piece_size)
im_color = Image.new('RGB',size,color)
im = Image.blend(im, im_color, 0.5)
board.paste(im,(x,y))
# draw lines
im_arrows = Image.new('RGB',(self.size,self.size),'rgb(255,255,255)')
draw = ImageDraw.Draw(im_arrows)
for line in self.lines:
init = line[0]
end = line[1]
draw.line([init,end],width=p_size//8,fill=line[2])
# agregar flecha
x = end[0]
y = end[1]
d = 30
if x == init[0]:
x0 = x
if y-init[1] < 0:
y0 = y+d
else:
y0 = y-d
else:
m, f = recta(init,end)
c = math.sqrt(d**2/(1+m**2))
if x-init[0] < 0:
x0 = x+c
else:
x0 = x-c
y0 = f(x0)
vector = (x0-x,y0-y)
v_x = vector[0]
v_y = vector[1]
rad = math.pi / 4
x_ = v_x*math.cos(rad) - v_y*math.sin(rad)
y_ = v_x*math.sin(rad) + v_y*math.cos(rad)
arrow_1 = (int(x_+x),int(y_+y))
rad = (-1)*(math.pi / 4)
x_ = v_x*math.cos(rad) - v_y*math.sin(rad)
y_ = v_x*math.sin(rad) + v_y*math.cos(rad)
arrow_2 = (int(x_+x),int(y_+y))
draw.line([end,arrow_1],width=p_size//8,fill=line[2])
draw.line([end,arrow_2],width=p_size//8,fill=line[2])
board = Image.blend(board,im_arrows,0.3)
board.save('tmp.png')
dpg.draw_image('canvas','tmp.png',[0,self.size])
def __refresh(self, full=True):
core.clear_drawing("Canvas")
if full:
self.__fractal.parse(iteration=self.__iteration)
self.__fractal.execute(drawCallback=self.__cbFractalDraw,
drawCallBufferSize=500)