So I am currently working on a greedy heuristic for knapsack, representing the values and weights of items in a 2D array. Basically I have to reverse sort the matrix first by col1, which puts the most profitable items on top associated with their weights.

However, there are cases in which items have the same value, therefore the tiebreaker is the weight, so not only should I sort by the first column max to min, but also the second column from min to max.

For instance, if my unsorted matrix look something like this:

19 25

23 24

23 20

20 30

The output should be

23 20

23 24

20 30

19 25

My current implementation is something like this:

```
both_sorted = both[sortperm(both[:,1], rev=true),:]
```

Is there a way to have an equivalent in Julia to this Python code?

```
both_sorted = sorted(both, key = lambda x: (x[0], x[1]), reverse=True)
```

I tried using dicts but they don’t admit duplicated values and I couldn’t get the catch of pairs.