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fake_lid_driven_cavity_NS_512x512_X.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:62bbdff5c059582818857caacd11ca3ec302b31d8acf1291161487e39a52803c
+size 1258292638

run.py

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+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)