import numpy as np

if __name__ == '__main__':
   
    #Read all three datasets and combine them into a single dataset. Each Dataset is a npz file
    data_set_X = np.load('../lid_driven_cavity_NS_512x512_X.npz')
    data_set_Y = np.load('../lid_driven_cavity_NS_512x512_Y.npz')
 
    #Extract the data from the npz file
    Re = data_set_X['data'][:,0,:,:]
    g = data_set_X['data'][:,1,:,:]
    s = data_set_X['data'][:,2,:,:]
    
    u = data_set_Y['data'][:,0,:,:]
    v = data_set_Y['data'][:,1,:,:]
    p = data_set_Y['data'][:,2,:,:]
    
    #Save as a npz file
    np.savez_compressed('../lid_driven_cavity_512x512.npz', Re = Re, g = g, s = s, u = u, v = v, p = p)