How do I control the magnitude at which I shuffle my dataset

I have a dataset X where each data point (each row) is in a particular order. To totally shuffle the X, I use something like this:

        shufX = torch.randperm(len(X))
        X=X[shufX]

Say I just want to mildly shuffle (maybe shift positions of a few data points) without totally shuffling. I would like to have a parameter p, such that when p=0, it does not shuffle , and when p=1, it totally shuffles like the code about. This way, I can adjust the amount of shuffling to be mild or more extensive.

I attempted this but realized it could result in duplicate data points, which is not what I want.

    p = 0.1 
    mask = torch.bernoulli(p*torch.ones(len(X))).bool()
    shufX = torch.randperm(len(X))
    X1=X[shufX]
    C = torch.where(mask1, X, X1)

source https://stackoverflow.com/questions/75124346/how-do-i-control-the-magnitude-at-which-i-shuffle-my-dataset

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