svhn_based_exp/utils.py [71:77]:
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            class_size = min(len(a) for a in selected_idx)
            selected_idx = np.concatenate([a[np.random.choice(len(a), class_size, replace=False)] for a in selected_idx])
            dataset.labels = dataset.labels[selected_idx]
            dataset.data = dataset.data[selected_idx]
            return dataset
        trainset = select_data(trainset)
        testset = select_data(testset)
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svhn_based_exp/utils.py [100:106]:
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            class_size = min(len(a) for a in selected_idx)
            selected_idx = np.concatenate([a[np.random.choice(len(a), class_size, replace=False)] for a in selected_idx])
            dataset.labels = dataset.labels[selected_idx]
            dataset.data = dataset.data[selected_idx]
            return dataset
        trainset = select_data(trainset)
        testset = select_data(testset)
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