>
> Seriously, what is the obsession with putting things on one line here?
>
There is no obsession. It is more of a consideration of balance between
operation complexity vs its verbosity.
> If it's because "it works better when there is a long list of such
> assignments" then unless you actually show a real-world example, it's hard to
> discuss the *actual* trade-offs.
First library that comes to mind, which has a high level constructor:
https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L437
<https://github.com/pydata/xarray/blob/main/xarray/core/dataarray.py#L437>
> It's often an anti-pattern to have a function with that many arguments in the
> first place, so refactoring the code may be a better option).
It often is, but at the same time unavoidable in some cases, i.e. high level
APIs. Few examples, CLIs (e.g. poetry), constructors of high level objects.
I think what would be nice to have is a set of dimensions that are deemed to be
of importance when deciding on a language constructs.
plot(dim1, dim2, dim3)
dim1 - number of lines
dim2 - number of terms
dim3 - number of operations
dim4 - frequency of usage
dim5 - ...
Of course, not all dimensions can be quantified. And to quantify some of them
certain definitions would have to be decided on, e.g. what is an operation.
Also, I do not know what those dimensions should be, they would ideally be
decided by those who have a very good sense of python’s long-term vision.
Such information could be helpful in having productive discussions regarding
such considerations and proposals.
In this case I am concerned with a balance of brevity vs complexity of python
constructs, which is a core building block in a space of constantly increasing
number of abstraction layers.
—Nothing ever dies, just enters the state of deferred evaluation—
DG
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