So why don't you implement your own type/wrapper with the semantics you need?

Le mer. 25 nov. 2020 à 18:49, Mathew M. Noel via Python-ideas
<python-ideas@python.org> a écrit :
>
> If circular indexing is used then instead of using a double FOR loop to go 
> through a list M times we can iterate from 0 to M*N (where N is the length of 
> the list) !!!
>
>
> Almost all Machine Learning (ML) algorithms iterate for some predefined 
> epochs over a large data-set. So a double FOR loop is extremely common in ML. 
> Using circular indexing gets rid of this extra FOR loop. If we have to 
> iterate 2 times you can iterate using range(-n,n) but in most cases you need 
> to iterate over 10 or more epochs in ML.
>
>
> Most scientific applications of Python involve an outer FOR loop which 
> progressively refines an approximation with an inner FOR loop by going 
> through a list of items. So circular indexing is useful. In the following I 
> discuss increasingly compelling reasons for adopting a circular indexing 
> scheme in Python.
>
>
> Python uses an index of -1 to index the last element in a list. Since -1 
> occurs before 0 we might think of the elements of the linear list are being 
> bent into a circle making the last element occur before the 0th element. 
> Consider a list with n elements: it would be perfectly reasonable to address 
> the element 0 of the list using an index of n since n occurs after n-1 (if we 
> assume that the list is bent into a circle). This feature can prove to be 
> extremely useful. Consider the following example:
>
>
> days_of_the_week = 
> ["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"]
>
> It would be nice if
>
> days_of_the_week[0]
>
>  is the same as
>
> days_of_the_week[7]
>
> is the same as
>
> days_of_the_week[14] etc
>
> In other words use modular indexing. In other words if the index is outside 
> the range 0 to n-1, we simply take the remainder when the index is divided by 
> n as the index.
> Because of the close relationship between finite length sequences and 
> periodic sequences this feature might simplify scientific computing(circular 
> convolution etc).
>
> If circular indexing is used then we don't need the arbitrary rule that -1 is 
> the index of the last element. Since -1 is the same as n-1 automatically in 
> modular arithmetic.
>
>
> A trivial objection:  "why not use list_name[i%n] whenever we need this 
> feature?" By the same token we could do away with negative indices and use 
> -1%n for example when we need to index with -1!
>
>
> Its unclear why that people have an irrational preference for indices that 
> lie to the left of 0 while strongly rejecting the idea of indices that lie to 
> the right of n-1!
>
> Python does not raise a "index out of bound" exception for negative indices 
> like other programming languages. If this negative indexing is a "feature" 
> (although it allows some fatal errors to slip) then indices above n-1 can 
> also be considered a feature!
>
> Are there any deep mathematical reasons for adopting  circular convention?
> Circular convolution is a most important operation in a wide variety of 
> scientific disciplines since the Discrete Fourier Transform (DFT) of the 
> circular convolution of two signals is the product of the transforms. Because 
> of the universal applicability of Fourier ideas in science and the close 
> mathematical relationship between finite length and periodic sequences 
> circular indexing is extensively used in signal processing and mathematics.
>
> We can extend the idea of circular indexing to multidimensional arrays. A 2D 
> array can be folded into a cylinder for indexing. Further this cylinder can 
> be folded into a toroid to reduce a triple FOR loop to a single FOR loop. A 
> deep mathematical justification for cylindrical indexing of 2D and in general 
> nD arrays is offered by the fact that n-dimensional DFT reduces n-dimensional 
> circular convolution to element-wise multiplication.
>
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-- 
Antoine Rozo
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