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('/home/pc-14-2/hugging-face-test/test-dataset/lid_driven_cavity_NS_512x512_X.npz')
    #data_set_Y = np.load('lid_driven_cavity_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.npz', Re = Re, g = g, s = s, u = u, v = v, p = p)