Given an k-dimensional array, e.g.

```
A = LinearIndices((2,2,2))
2×2×2 LinearIndices{3, Tuple{Base.OneTo{Int64}, Base.OneTo{Int64}, Base.OneTo{Int64}}}:
[:, :, 1] =
1 3
2 4
[:, :, 2] =
5 7
6 8
```

and a list of row-column indices, e.g. `idxs=[(1,2), (1,1)]`

, how do I efficiently select the corresponding rows and columns, while slicing in the remaining dimensions?

In the given example, the outcome should be

```
3 7
1 5
```

i.e. taking the elements `(1,2,1)`

, `(1,2,2)`

, `(1,1,1)`

, and `(1,1,2)`

.

We can ignore the exact shape of the output for now, as that can be fixed using `reshape`

.

Edit: The command `reduce(hcat, (x -> @view A[x..., :]).(idxs))`

solves the problem in principle, but maybe there’s a way to get one single view, instead of a copy.