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def batch_generator(x, y, batch_size):
    size = len(x)
    while True:
        shuffle_indexes = np.random.permutation(np.arange(size))
        x_shuffled, y_shuffled = x[shuffle_indexes], y[shuffle_indexes]
        
        for i in range(0, size, batch_size):
            x_batch, y_batch = x_shuffled[i:i + batch_size], y_shuffled[i:i + batch_size]        
            yield x_batch, y_batch