def create_horizontal_pipes(self, pipes, neigh_from, neigh_to,
                                intersection):
        distance_x = neigh_to.rect.centerx - neigh_from.rect.centerx

        base_x = intersection.rect.x - 64
        base_y = intersection.rect.y

        direction = -1

        if distance_x < 0:
            base_x = intersection.rect.right - 24
            direction = 1

        pipe_amount = int(abs(distance_x) / 64)

        for n in range(pipe_amount):
            pipe = Pipe()

            pos_x = base_x + pipe.rect.width * n * direction

            pipe.set_pos((pos_x, base_y))

            if direction == 1:
                pipe.angle = 180

            pipes.insert(0, pipe)
    def create_vertical_pipes(self, neigh_from, neigh_to, intersection):
        pipes = []
        distance_y = neigh_to.rect.centery - neigh_from.rect.centery

        base_x = intersection.rect.x
        base_y = intersection.rect.y - 64

        direction = -1

        if distance_y > 0:
            base_y = intersection.rect.bottom
            direction = 1

        pipe_amount = int(abs(distance_y) / 64)

        for n in range(pipe_amount):
            pipe = Pipe()

            pos_y = base_y + pipe.rect.width * n * direction

            pipe.set_pos((base_x, pos_y))

            pipe.angle = -direction * 90

            pipes.append(pipe)

        return pipes
Exemple #3
0
def get_random_pipes(x_position):
    size = random.randint(100, 300)
    pipe = Pipe(PIPE_WIDTH, PIPE_HEIGHT, False, x_position, size,
                SCREEN_HEIGHT, GAME_SPEED)
    pipe_inverted = Pipe(PIPE_WIDTH, PIPE_HEIGHT, True, x_position,
                         SCREEN_HEIGHT - size - PIPE_GAP, SCREEN_HEIGHT,
                         GAME_SPEED)
    return (pipe, pipe_inverted)
Exemple #4
0
 def __init__(self,
              Name,
              Parent=None,
              Description="",
              data={},
              node_tree={}):
     Pipe.__init__(self,
                   Name,
                   Parent=Parent,
                   Description=Description,
                   data=data,
                   node_tree=node_tree)
Exemple #5
0
class PipelineManager():

    pipeline = {
        'load': Pipe('load', 1, 'validate'),
        'validate': Pipe('validate', 2, 'summarize'),
        'summarize': Pipe('summarize', 3, 'output'),
        'output': Pipe('output', 4, None)
    }

    def __init__(self, src_file: str, max_date: str):
        self.step = 0

        self.src_file = src_file
        self.max_date = max_date
        self.raw_data = None

    @staticmethod
    def first_pipe() -> Pipe:
        for _, p in PipelineManager.pipeline.items():
            if p.position == 1:
                return p

    def __params_valid(self):
        if not self.src_file or not self.max_date:
            raise Exception(
                'File source or Max date were not provided to this pipeline')

    def send_next(self, pipe: Pipe):
        self.__params_valid()

        if pipe:
            self.raw_data = eval(pipe.func).run(self.raw_data, self.src_file,
                                                self.max_date)
            if pipe.next:
                next_pipe = PipelineManager.pipeline[pipe.next]
                self.send_next(next_pipe)
        else:
            raise Exception('Invalid pipeline step')

    def start(self):
        self.__params_valid()
        self.send_next(self.first_pipe())
    def create_intersection(self, neigh_from, neigh_to):
        pos_x = neigh_to.rect.centerx - 20
        pos_y = neigh_from.rect.centery - 20

        pipe = Pipe()

        pipe.is_curve = True
        pipe.was_animated = True

        distance_x = neigh_to.rect.centerx - neigh_from.rect.centerx
        distance_y = neigh_to.rect.centery - neigh_from.rect.centery

        pipe.flip_vertical = distance_x < 0
        pipe.flip_horizontal = distance_y > 0

        pipe.set_pos((pos_x, pos_y))

        return pipe
Exemple #7
0
def main(genomes, config):
    global gen
    gen += 1
    # start by creating lists holding the genome itself, the
    # neural network associated with the genome and the
    # bird object that uses that network to play
    nets = []
    ge = []
    birds = []
    for genome_id, genome in genomes:
        genome.fitness = 0  # start with fitness level of 0
        net = neat.nn.FeedForwardNetwork.create(genome, config)
        nets.append(net)
        birds.append(Bird(230, 350))
        ge.append(genome)

    pipes = [Pipe(700)]
    ground = Ground(FLOOR)
    score = 0
    win = pygame.display.set_mode((WIN_WIDTH, WIN_HEIGHT))
    clock = pygame.time.Clock()

    while True:
        clock.tick(30)
        for event in pygame.event.get():
            if event.type == pygame.QUIT:
                pygame.quit()
                quit()
                break

        pipe_ind = 0
        if len(birds) > 0:
            # Determine whether to use the first or second
            if len(pipes) > 1 and birds[0].x > \
                    pipes[0].x + pipes[0].PIPE_TOP.get_width():
                # Pipe on the screen for neural network input
                pipe_ind = 1

        # Give each bird a fitness of 0.1 for each frame it stays alive
        for x, bird in enumerate(birds):
            ge[x].fitness += 0.1
            bird.move()

            # send bird location, top pipe location and bottom pipe location
            # and determine from network whether to jump or not
            output = nets[birds.index(bird)].activate(
                (bird.y, abs(bird.y - pipes[pipe_ind].height),
                 abs(bird.y - pipes[pipe_ind].bottom)))

            # We use a tanh activation function so result will be
            # between -1 and 1. if over 0.5 jump
            if output[0] > 0.5:
                bird.jump()

        ground.move()

        residue = []
        add_pipe = False
        for pipe in pipes:
            pipe.move()
            # Check for collisions
            for bird in birds:
                if pipe.collide(bird):
                    ge[birds.index(bird)].fitness -= 1
                    nets.pop(birds.index(bird))
                    ge.pop(birds.index(bird))
                    birds.pop(birds.index(bird))

            if pipe.x + pipe.PIPE_TOP.get_width() < 0:
                residue.append(pipe)

            if not pipe.passed and pipe.x < bird.x:
                pipe.passed = True
                add_pipe = True

        if add_pipe:
            score += 1
            # Add this line to give more reward for passing pipe
            for genome in ge:
                genome.fitness += 5
            pipes.append(Pipe(700))

        for res in residue:
            pipes.remove(res)

        for bird in birds:
            if bird.y + bird.img.get_height() - 10 >= FLOOR or bird.y < -50:
                nets.pop(birds.index(bird))
                ge.pop(birds.index(bird))
                birds.pop(birds.index(bird))

        draw_window(win, birds, pipes, ground, score, gen, pipe_ind)
 def DeclareEquations(self):
     Pipe.DeclareEquations(self)
 def DeclareEquations(self):
     Pipe.DeclareEquations(self)
     Carbfilm.DeclareEquations(self)
 def define_variables(self):
     Pipe.define_variables(self)
     Carbfilm.define_variables(self)
Exemple #11
0
    def DeclareEquations(self):

        Pipe.DeclareEquations(self)
        ExternalFilmCondensation.DeclareEquations(self)
Exemple #12
0
    def define_variables(self):

        Pipe.define_variables(self)
        ExternalFilmCondensation.define_variables(self)
Exemple #13
0
    def define_parameters(self):

        Pipe.define_parameters(self)
        ExternalFilmCondensation.define_parameters(self)
    def __init__(self, Name, Parent=None, Description=""):

        Pipe.__init__(self, Name, Parent=Parent, Description=Description)
 def define_parameters(self):
     Pipe.define_parameters(self)
     FixedExternalTemperature.define_parameters(self)
 def define_constants(self):
     Pipe.define_constants(self)
     Carbfilm.define_constants(self)
 def define_variables(self):
     Pipe.define_variables(self)
     FixedExternalTemperature.define_variables(self)
 def define_parameters(self):
     Pipe.define_parameters(self)
     Carbfilm.define_parameters(self)
 def DeclareEquations(self):
     Pipe.DeclareEquations(self)
     FixedExternalTemperature.DeclareEquations(self)
Exemple #20
0
def game_loop(genomes, config):
    global GEN
    global VEL
    GEN += 1
    nets = []
    ge = []
    birds = []

    for _, g in genomes:
        net = neat.nn.FeedForwardNetwork.create(g, config)
        nets.append(net)
        birds.append(Bird(230, 350))
        g.fitness = 0
        ge.append(g)

    base = Base(730)
    pipes = [Pipe(600)]
    win = pygame.display.set_mode((WIN_WIDTH, WIN_HEIGHT))
    clock = pygame.time.Clock()

    score = 0

    run = True
    while run:
        clock.tick(30)
        for event in pygame.event.get():
            if event.type == pygame.QUIT:
                run = False
                pygame.quit()
                quit()

        pipe_ind = 0
        if len(birds) > 0:
            if len(pipes) > 1 and birds[
                    0].x > pipes[0].x + pipes[0].PIPE_TOP.get_width():
                pipe_ind = 1
        else:
            run = False
            break

        for x, bird in enumerate(birds):
            bird.move()
            ge[x].fitness += 0.1

            output = nets[x].activate(
                (bird.y, abs(bird.y - pipes[pipe_ind].height),
                 abs(bird.y - pipes[pipe_ind].bottom)))
            # Only 1 output neuron
            if output[0] > 0.5:
                bird.jump()

        add_pipe = False
        rem = []
        for pipe in pipes:
            for x, bird in enumerate(birds):
                if pipe.collide(bird):
                    ge[x].fitness -= 1
                    birds.pop(x)
                    nets.pop(x)
                    ge.pop(x)

                if not pipe.passed and pipe.x < bird.x:
                    pipe.passed = True
                    add_pipe = True

            if pipe.x + pipe.PIPE_TOP.get_width() < 0:
                rem.append(pipe)

            pipe.move(VEL)

        if add_pipe:
            score += 1
            for g in ge:
                g.fitness += 5
            pipes.append(Pipe(600))

        for r in rem:
            pipes.remove(r)

        for x, bird in enumerate(birds):
            if bird.y + bird.img.get_height() >= 730 or bird.y < 0:
                birds.pop(x)
                nets.pop(x)
                ge.pop(x)

        base.move(VEL)
        draw_window(win, birds, pipes, base, score, GEN, VEL)
    def define_domains(self):
        Pipe.define_domains(self)

        self.y = daeDomain("y", self, unit(), "Y tube position")