Well, PEP 637 looks great.

I agree that this situation is too rare, so maybe single parameter is a better choice.

If you are interested, let me share a complicated example :-)

I have a class which contains something like a finite square lattice(such as a 4x4 lattice who owns 16 sites), and there is a huge-rank "tensor" to decsribe it, with one index for every sites, for 4x4 lattice, it is a 2x2x2x2x2x2x2x2x2x2x2x2x2x2x2x2 tensor(16-rank). With the same thought in the previous example, I use `tuple[int, int]` to specify the index of this big tensor to get item or to get something like "slice of tensor", look like:

```
result = A[{(1,1): 1, (1,2): 0}]
```

This is a sliced tensor which rank is 16-2=14, since two of 16 index in tensor A are fixed. Just like this in numpy

```
result = A[:, :, :, :, :, 1, 0, :, :, :, :, :, :, :, :, :]
```

Don't worry about complexity of this "tensor", I am no using dense tensor to store it, I am using a network(a tensor network) to approximate this huge-rank tensor, although I want to treat it more like a normal tensor.

PEP 637 cannot be used in this case, but maybe I should not use `__getitem__` here?
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