Well there is already a function you can call for these, __getitem__:

lst_getter =  lst.__getitem__
map( lst_getter, idxs)
sorted(range(len(lst)), key=lst_getter)
max(range(len(lst)), key=lst_getter)  
dct_getter =  dct.__getitem__
map(dct, lst) instead of (dct[l] for l in lst)

If you find yourself preferring this map() style of code a lot (rather than using generator expressions), you can make a utility function:

def getter(obj):
    return obj.__getitem__

If anything is going to be proposed, I'd suggest rather than making these callable directly, add a utility function that calls the dunder method.

So:

len() is to __len__

as:

getter() is to __getitem__

But I'm not proposing this, I'm just suggesting it as a bit better alternative to the initial idea.

---
Ricky.

"I've never met a Kentucky man who wasn't either thinking about going home or actually going home." - Happy Chandler


On Mon, Oct 5, 2020 at 8:42 AM <george.winton.harding@gmail.com> wrote:
Hi all,

I've been working in q and k, which is where this idea comes from.

My idea is to make lists and dicts callable, with __call__ =
__getitem__.

So that:

[3,4,5](1) gives 4
{'a':1, 'b': 2}('b') gives 2

Arguably a list is a function which maps from range(len(list)) to the
list entries, and a dictionary is a function that maps from keys to
values.

This would mean that functions designed to take functions, can be
repurposed to take data, for example:

map(lst, idxs) instead of (lst[i] for i in idxs) or map(lambda x:
lst[x], idxs)
map(dct, lst) instead of (dct[l] for l in lst)

sorted(range(len(lst)), key=lst) to calculate the equivalent of
np.argsort
max(range(len(lst)), key=lst) to calculate the equivalent of np.argmax

I couldn't find this being discussed before. Does anyone like it? There
is room for confusion as it would mean that e.g. filter([1,2], [0,1])
would give [0,1] whilst [1] might be expected.

Best,

George Harding

p.s. Thank you to everyone for their work on such a wonderful language.
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