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truths valid = np.ones((batch_size, 1)) fake = np.zeros((batch_size, 1)) for epoch in range(epochs): # --------------------- # Train Discriminator # --------------------- # Select a random batch of real data idx = np.random.randint(0, X_train.shape[0], batch_size) real_data = X_train[idx] #