def render_online():
    """
    Renders a spinning square moving on a straight line.
    """
    movie_name = "square_online"
    save_dir = make_video_path(movie_name+".pngvin")
    if not os.path.exists(save_dir):
        os.makedirs(save_dir)
    
    print "Rendering pngvin movie", movie_name
    
    delete_database(movie_name)
    create_database(movie_name, [2])
    db = StateTransitionDatabase(movie_name)
    
    surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, IMAGE_WIDTH, IMAGE_HEIGHT)
    ctx = cairo.Context(surface)
    
    num_frames=32
    
    x0 = 0.2
    y0 = 0.2
    theta0 = 0.0
    
    dx=0.02
    dy=0.02
    dtheta=2.0*math.pi/num_frames
    width=0.1
    
    prev_state = numpy.array([IMAGE_WIDTH*x0, IMAGE_WIDTH*y0, theta0])

    for i in xrange(num_frames):
        clear(ctx)

        ctx.set_source_rgb(0,0,0)
        ctx.rectangle(0, 0, 1, 1)
        ctx.fill()

        ctx.set_source_rgb(1, 1, 1)
        ctx.translate(x0+dx*i, y0+dy*i)
        ctx.rotate(theta0+dtheta*i)
        ctx.rectangle(-width/2, -width/2, width, width)
        ctx.fill()

        # Render Obstacle
        clear(ctx)

        surface.write_to_png(make_video_path(save_dir, "frame-"+left_align_videoformat(i)+".png"))

        if i>0:
            # Input the transition into the database
            new_state = numpy.array([IMAGE_WIDTH*(x0+dx*i), IMAGE_WIDTH*(y0+dy*i), theta0+dtheta*i])
            db.add_transitions(prev_state[:2], new_state[:2])
            prev_state = new_state
        
        print "Rendered frame", i
    
    print "Done."
def render_bounce(movie_id=0, start_state=None, gravity=numpy.array([0, 1]), bounce_factor=0.75, input_to_database=True):
    """
    Renders a falling and bouncing square.
    """
    
    dataset = "square_bounce"
    num_frames = 128
    square_side = 50.
    half_square_side = square_side/2.0
    
    dt = 0.5
    
    X_LIMITS = [half_square_side, IMAGE_WIDTH-half_square_side]
    Y_LIMITS = [half_square_side, IMAGE_HEIGHT-half_square_side]
    
    # State: [x, y, x', y']
    if start_state is None:
        delete_database(dataset)
        create_database(dataset, [2, 2])
        render_bounce(0, numpy.array([IMAGE_WIDTH/2., 0., Y_LIMITS[0], 0.]))
        render_bounce(1, numpy.array([IMAGE_WIDTH/2., 2., Y_LIMITS[0], 0.]))
        render_bounce(2, numpy.array([IMAGE_WIDTH*2./3, -1, IMAGE_HEIGHT/2., -0.4]))
        render_bounce(3, numpy.array([IMAGE_WIDTH/4., 0., Y_LIMITS[1], 0.]))
        render_bounce(4, numpy.array([IMAGE_WIDTH*3./4, 0., Y_LIMITS[1], 2]))
        render_bounce(5, numpy.array([IMAGE_WIDTH/2., 4, Y_LIMITS[1], 0.6]))
        render_bounce(6, numpy.array([IMAGE_WIDTH/2., 4., IMAGE_HEIGHT/2., 0.]))
        render_bounce(7, numpy.array([X_LIMITS[0], 5., Y_LIMITS[0], 0.]), input_to_database=False)
        render_bounce(8, numpy.array([IMAGE_WIDTH/2., -1, IMAGE_HEIGHT*3./4, 0.6]), input_to_database=False)
        render_bounce(9, numpy.array([IMAGE_WIDTH/5., 2, IMAGE_HEIGHT/3., 0.4]), input_to_database=False)
        return
    
    movie_name = dataset + "_" + str(movie_id)
    save_dir = make_video_path(movie_name + ".pngvin")
    if not os.path.exists(save_dir):
        os.makedirs(save_dir)
    
    print "Rendering pngvin movie", movie_name
    
    db = StateTransitionDatabase(dataset)
    
    surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, IMAGE_WIDTH, IMAGE_HEIGHT)
    ctx = cairo.Context(surface)
    
    state = start_state
#    state[:2] += half_square_side
    
    print "Initial values:", state
    
    def timestep(state, fixpoint_iterations=10):
        next_state = state
        d0 = numpy.array((state[1], gravity[0], state[3], gravity[1]))
        for i in xrange(fixpoint_iterations):
            d = numpy.array((next_state[1], gravity[0], next_state[3], gravity[1]))
            next_state = state + 0.5 * (d0 + d) * dt
        return next_state
    
    for i in xrange(num_frames):
        
        if i>0:
            next_state = timestep(state)

            # Collisions with edges
            for axis, limits in ((0, X_LIMITS), (2, Y_LIMITS)):
                if next_state[axis] < limits[0]:
                    next_state[axis+1] *= -bounce_factor
                    next_state[axis] = 2*limits[0] - next_state[axis]
                elif next_state[axis] > limits[1]:
                    next_state[axis+1] *= -bounce_factor
                    next_state[axis] = 2*limits[1] - next_state[axis]
            
            if input_to_database:
                # Input the transition into the database
                normalizer = numpy.array((state[0], 0, state[2], 0))
                db.add_transitions(state - normalizer, next_state - normalizer)
        
            state = next_state
        
        x = (state[0]-half_square_side)/IMAGE_WIDTH
        y = (state[2]-half_square_side)/IMAGE_HEIGHT
        
        clear(ctx)
        ctx.rectangle(0, 0, 1, 1)
        ctx.set_source_rgb(0,0,0)
        ctx.fill()
        
        ctx.set_source_rgb(1, 1, 1)
        ctx.rectangle(x, y, square_side/IMAGE_WIDTH, square_side/IMAGE_WIDTH)
        ctx.fill()
        
        surface.write_to_png(make_video_path(save_dir, "frame-"+left_align_videoformat(i)+".png"))

    print "Completed rendering", movie_name
from wmedia import wvideo,testscreen
from wimageprocessing import normalize

from scipy.ndimage import filters

import math
import numpy

from common import make_video_path, make_run_path

#selftest
if __name__=="__main__":
    layermanager = wlayermanager()
    #layermanager.add_layer(wvideo("../video/square_simple.pngvin",0.5)) #load video from file
    
    bounce=wvideo(make_video_path("square_simple.pngvin"),0.2)
    #layermanager.add_layer(bounce) 

    blur5 = lambda img: filters.gaussian_filter(img,5)

    blurbounce=bounce.transform(blur5)
 #   edge_filter=filters.prewitt
 #   abs_edge_filter=lambda img:numpy.sqrt(edge_filter(img,axis=0)**2+edge_filter(img,axis=1)**2)
 #   edgebounce=blurbounce.transform(abs_edge_filter)
    
    #badedgebounce=bounce.transform(abs_edge_filter)
    #bluredbadedgebounce=badedgebounce.transform(blur5)
    #layermanager.add_layer(bluredbadedgebounce.transform(normalize))
    
    #layermanager.add_layer(wvideo(testscreen(alpha=0.1)))