>>> import torch
            >>> from torchmetrics.audio import SignalNoiseRatio
            >>> metric = SignalNoiseRatio()
            >>> values = [ ]
            >>> for _ in range(10):
            ...     values.append(metric(torch.rand(4), torch.rand(4)))
            >>> fig_, ax_ = metric.plot(values)

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