arraymancer function apply

[Clonk]

    import arraymancer
    import sugar
    
    # Create a tensor of value between 0 and 10
    var tensor = randomTensor[float](2, 2, 10)
    echo tensor
    tensor[_, 0] = tensor[_, 0].map(x => x*2)
    echo tensor
    
    
    Run

This is the easiest way I found.

Slicing does not actually create a mutable tensor so this will not work :
    
    
    # This does not compile
    apply_inline(tensor[_, 0]):
      x*2
    
    
    Run

Otherwise, you can also iterate on an axis (see 
<https://mratsim.github.io/Arraymancer/accessors.html>)

I'll try to see if I can provide a better example when I have access to my 
computer (formatting code on a phone isn't practical).