| 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) | |