On 2015-05-09 21:16, Steven D'Aprano wrote:
On Sat, May 09, 2015 at 11:38:38AM -0400, Ron Adam wrote:
How about an operator for partial?Apart from the little matter that Guido has said that $ will never be
root @ mean @ map $ square(xs)
used as an operator in Python, what is the association between $ and
partial?
Most other operators have either been used for centuries e.g. + and - or
at least decades e.g. * for multiplication because ASCII doesn't have
the × symbol. The barrier to using a completely arbitrary symbol with no
association to the function it plays should be considered very high.
I would only support an operator for function composition if it was at
least close to the standard operators used for function composition in
other areas. @ at least suggests the ∘ used in mathematics, e.g.
sin∘cos, but | is used in pipelining languages and shells and could be
considered, e.g. ls | wc.
My own preference would be to look at @ as the closest available ASCII
symbol to ∘ and use it for left-to-right composition, and | for
left-to-right function application. E.g.
(spam @ eggs @ cheese)(arg) is equivalent to spam(eggs(cheese(arg)))
(spam | eggs | cheese)(arg) is equivalent to cheese(eggs(spam(arg)))
also known as compose() and rcompose().
We can read "@" as "of", "spam of eggs of cheese of arg", and | as
a pipe, "spam(arg) piped to eggs piped to cheese".
For me these are by far the most logical ones too, for exactly the same reasons (and because of the connection of @ with matrix multiplication and operators that operate from the left).
It's a pity we can't match the shell syntax and write:
spam(args)|eggs|cheese
but that would have a completely different meaning.
But it does not need to have a different meaning. You could in addition have:
spam @ eggs @ cheese @ arg # equivalent to spam(eggs(cheese(arg)))
arg | spam | eggs | cheese # equivalent to cheese(eggs(spam(arg)))
Here, arg would thus be recognized as not a function.
In this version, your example of spam(args)|eggs|cheese would do exactly the same operation as (spam | eggs | cheese)(args) :-).
David Beazley has a tutorial on using coroutines in pipelines:
http://www.dabeaz.com/coroutines/
where he ends up writing this:
f = open("access-log")
follow(f,
grep('python',
printer()))
Coroutines grep() and printer() make up the pipeline. I cannot help but
feel that the | syntax would be especially powerful for this sort of
data processing purpose:
# could this work using some form of function composition?
follow(f, grep('python')|printer)
This seems promising!
-- Koos
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