import matplotlib.pyplot as plt
from synthesizer import PerlinNoise, PrimeGenerator, ShapedNoise, ShapeFunction, ShapeCreator
if __name__ == '__main__':
realization_count = 10
# shape = {"x": [0.0, 0.5, 1.0], "y": [1.0, 0.5, 0.0]}
# shapeFunction = ShapeFunction(shape["x"], shape["y"])
shapeFunction = ShapeCreator.createShapeFunction(seed=2)
divergence = {
"x": [0.0, 0.3, 0.4, 0.6, 1.0],
"y": [0.01, 0.1, 0.2, 0.2, 0.5]
}
# divergence = {"x": [0.0, 1.0], "y": [0.1, 0.1]}
divergenceFunction = ShapeFunction(divergence["x"], divergence["y"])
prime_generators = {
realization: PrimeGenerator(seed=realization)
for realization in range(realization_count)
}
for persistence in [0.1, 0.5]:
plt.figure()
octaves = 8
for realization in range(realization_count):
prime_generator = prime_generators[realization]
noise = PerlinNoise(persistence=persistence,
number_of_octaves=octaves,
prime_generator=prime_generator)
import matplotlib.pyplot as plt
from synthesizer import PerlinNoise, PrimeGenerator, ShapedNoise, ShapeFunction, ShapeCreator
if __name__ == '__main__':
realization_count = 10
# shape = {"x": [0.0, 0.5, 1.0], "y": [1.0, 0.5, 0.0]}
# shapeFunction = ShapeFunction(shape["x"], shape["y"])
shapeFunction = ShapeCreator.createShapeFunction(seed=2)
divergence = {"x": [0.0, 0.3, 0.4, 0.6, 1.0], "y": [0.01, 0.1, 0.2, 0.2, 0.5]}
# divergence = {"x": [0.0, 1.0], "y": [0.1, 0.1]}
divergenceFunction = ShapeFunction(divergence["x"], divergence["y"])
prime_generators = {realization : PrimeGenerator(seed=realization) for realization in range(realization_count)}
for persistence in [0.1, 0.5]:
plt.figure()
octaves = 8
for realization in range(realization_count):
prime_generator = prime_generators[realization]
noise = PerlinNoise(persistence=persistence, number_of_octaves=octaves, prime_generator=prime_generator)
shaper = ShapedNoise(noise, shapeFunction, divergenceFunction, scale=0.1)
values = [shaper(x / 100.0) for x in range(1000)]
line = plt.plot(values, label="R: %s" % realization)
plt.legend()
plt.title("Persistence: %s" % persistence)
