def color_line_h(self, x, y):
color_current = colors.near_hue_hsv(self.color_current)
return color_current
return color_current
def color_line_v(self, x, y):
color_current = colors.near_v_hsv(self.color_current)
return color_current
if __name__ == '__main__':
w = 880
h = 440
ps = []
planet_ave = w/12
for i in range(random.randint(1, 3)):
ps.append(Planet((w/2+random.normalvariate(0, w/4), h/2 + random.normalvariate(0, h/4)),
random.normalvariate(planet_ave, planet_ave)))
c = colors.near_hue_hsv(colors.dark_color_hsv())
img = image.Image(w, h)
star_density = random.uniform(0.001, 0.05)
star_base_color_hsv = colors.dark_color_hsv()
for y in range(h):
for x in range(w):
for p in ps:
if p.is_inside((x, y)):
c = p.coloring_func(x, y)
img.set_pixel(x, y, colorsys.hsv_to_rgb(*c))
break
else:
if random.random() < star_density:
img.set_pixel(x, y, colorsys.hsv_to_rgb(*colors.v_up_to(star_base_color_hsv)))
else:
def color_near(self, x, y):
return colors.near_hue_hsv(p.base_color_hsv)
max = 1.75
scale = max - min
result = (result-min)/scale
return result
def water_value(x, y, height, max_height):
result = height + 0.5*math.fabs(simp1.noise2(x*50, y*50))
result = result / (max_height + 0.5)
return result
if __name__ == '__main__':
w = 880
h = 440
img = image.Image(w, h)
land_c = colors.bright_color_hsv()
water_c = colors.near_hue_hsv(colorsys.rgb_to_hsv(105/255.0, 216/255.0, 255/255.0))
simp = perlin.SimplexNoise()
simp.randomize()
ssimp = perlin.SimplexNoise()
ssimp.randomize()
for y in range(h):
for x in range(w):
v = normalizer.normalize(height(x/w,y/h), 0.0, 1.0)
if v < 0.4:
img.set_pixel(x, y, colorsys.hsv_to_rgb(water_c[0], water_c[1], water_value(x/w, y/h, v, 0.4)))
else:
img.set_pixel(x, y, colorsys.hsv_to_rgb(land_c[0], land_c[1], v))
