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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def decode(self, encoded):
 """ Decodes ``encoded`` label. Args: encoded (torch.Tensor):
 Encoded label. Returns: object: Label decoded from ``encoded``. """

        encoded = super().decode(encoded)

        if encoded.numel() > 1:
            raise ValueError(
                '``decode`` decodes one label at a time, use ``batch_decode`` instead.')

        return self.itos[encoded.squeeze().item()]