...                       [0.05, 0.55, 0.75],
        ...                       [0.05, 0.65, 0.05]])
        >>> target = torch.tensor([[1, 0, 1],
        ...                        [0, 0, 0],
        ...                        [0, 1, 1],
        ...                        [1, 1, 1]])
        >>> multilabel_recall_at_fixed_precision(preds, target, num_labels=3, min_precision=0.5, thresholds=None)
        (tensor([1., 1., 1.]), tensor([0.0500, 0.5500, 0.0500]))
        >>> multilabel_recall_at_fixed_precision(preds, target, num_labels=3, min_precision=0.5, thresholds=5)
        (tensor([1., 1., 1.]), tensor([0.0000, 0.5000, 0.0000]))

    )