Branin

    from benchmark.branin import Branin
    matplotlib.pyplot as plt
    import numpy as np

    num = 100
ndim = 2
x = np.ones((num, ndim))

x[:, 0] = np.linspace(-5, 10.0, num)
x[:, 1] = np.linspace(0, 15.0, num)
s = Branin()
dataSet = s(x)
plt.plot(dataSet["input"][:, 0], dataSet["output"][:, 0])
plt.xlabel("x")
plt.ylabel("y")
plt.show()