import numpy as np

def spirals(n_samples=400):
    N = n_samples
    theta = np.sqrt(np.random.rand(N))*2*np.pi

    r_a = 2*theta + np.pi
    data_a = np.array([np.cos(theta)*r_a, np.sin(theta)*r_a]).T
    x_a = data_a + np.random.randn(N,2)

    r_b = -2*theta - np.pi
    data_b = np.array([np.cos(theta)*r_b, np.sin(theta)*r_b]).T
    x_b = data_b + np.random.randn(N,2)

    res_a = np.zeros((N,1), dtype='uint8')
    res_b = np.ones((N,1), dtype='uint8')

    x = np.concatenate([x_a, x_b], axis=0)
    res = np.concatenate([res_a, res_b], axis=0).reshape(-1)
    return x, res

  
Xdata, ydata = spirals()