# Path: MultiNEAT/viz.py
# def Draw(x, size=(300,300)):
#     img = np.zeros((size[0], size[1], 3), dtype=np.uint8)
#     img += 10
# 
#     if isinstance(x, NeuralNetwork):
#         DrawPhenotype(img, (0, 0, 250, 250), x )
#     else:
#         nn = NeuralNetwork()
#         x.BuildPhenotype(nn)
#         DrawPhenotype(img, (0, 0, 250, 250), nn )
# 
#     return img


import sys
import random as rnd
import cv2
import numpy as np
import MultiNEAT as NEAT
import pygame
import pymunk as pm
import progressbar as pbar
import pickle
from MultiNEAT.viz import Draw
from pygame.locals import *
from pygame.color import *
from pymunk import Vec2d
from pymunk.pygame_util import draw, from_pygame

    # The agents - the brain and the ball
    net = NEAT.NeuralNetwork()
    genome.BuildPhenotype(net)

    agent = NN_agent(space, net)
    ball = Ball(space)

    tstep = 0
    bd = 1000000
    while tstep < max_timesteps:
        tstep += 1
        for event in pygame.event.get():
            if event.type == QUIT:
                exit()
            elif event.type == KEYDOWN and event.key == K_ESCAPE:
                exit()
            elif event.type == KEYDOWN and event.key == K_f:
                fast_mode = not fast_mode

        ### Update physics
        dt = 1.0/50.0
        space.step(dt)

        # The NN interacts with the world on each 5 timesteps
        if (tstep % 5) == 0:
            agent.interact(ball)

        if not fast_mode:
            # draw the phenotype

# Path: MultiNEAT/viz.py
# def Draw(x, size=(300,300)):
#     img = np.zeros((size[0], size[1], 3), dtype=np.uint8)
#     img += 10
# 
#     if isinstance(x, NeuralNetwork):
#         DrawPhenotype(img, (0, 0, 250, 250), x )
#     else:
#         nn = NeuralNetwork()
#         x.BuildPhenotype(nn)
#         DrawPhenotype(img, (0, 0, 250, 250), nn )
# 
#     return img


# Path: examples/NoveltySearch.py
import sys
import random as rnd
import cv2
import numpy as np
import MultiNEAT as NEAT
import pygame
import pymunk as pm
import progressbar as pbar
import pickle
from MultiNEAT.viz import Draw
from pygame.locals import *
from pygame.color import *
from pymunk import Vec2d
from pymunk.pygame_util import draw, from_pygame


    # The agents - the brain and the ball
    net = NEAT.NeuralNetwork()
    genome.BuildPhenotype(net)

    agent = NN_agent(space, net)
    ball = Ball(space)

    tstep = 0
    bd = 1000000
    while tstep < max_timesteps:
        tstep += 1
        for event in pygame.event.get():
            if event.type == QUIT:
                exit()
            elif event.type == KEYDOWN and event.key == K_ESCAPE:
                exit()
            elif event.type == KEYDOWN and event.key == K_f:
                fast_mode = not fast_mode

        ### Update physics
        dt = 1.0/50.0
        space.step(dt)

        # The NN interacts with the world on each 5 timesteps
        if (tstep % 5) == 0:
            agent.interact(ball)

        if not fast_mode:
            # draw the phenotype

            cv2.imshow("current best", Draw(net))