Excellent. I get a more than 100x speedup to. Then the question is, how
to make a good utility function, which reads numbers from a line of input
with the types specified for speed.
Here is something that seems to work correctly:
function getline(src,a,b...)
ss = split(readline(src))
t = (a,b...)
ntuple(j->parse(t[j],ss[j]),length(t))
end
#=
STDIN has
9 2 2 1.3
=#
i,j,k,x = getline(STDIN,Int,Int,Int,Float64)
@show i,j,k,x
#= Result:
(i,j,k,x) = (9,2,2,1.3)
=#
For non-speed-intensive uses, here is a method without the types:
getline(src=STDIN) = map(parse,split(readline(src)))
Any suggestions/comments?
On Sunday, January 3, 2016 at 2:08:08 PM UTC-8, Mauro wrote:
>
> > function testparse()
> > parse("4.123456789")
> > end
>
>
> Try:
>
> function testparse()
> parse(Float64, "4.123456789")
> end
>
> I get 100x speedup.
>
> > @time testparse()
> > @time for i=1:10000
> > testparse()
> > end
> > Running this on the same machine takes about 0.65 seconds. I get
> similar
> > results if I call @time for a single call to
> > testparse(), and any other variations I could think of. This indicates
> > julia's parse is about a factor of 80 slower than the equivalent
> > in C++.
> >
> > Have I done something to make this slow, or is parse just very slow?
> Why
> > would it be so slow?
> >
> > -Steve
> >
> >
> > On Friday, December 25, 2015 at 2:20:21 AM UTC-8, Adrian Cuthbertson
> wrote:
> >>
> >> The essential part first:
> >>
> >> julia> a,b,c,d=map(parse,split("9 2 2 1.3\n"))
> >> 4-element Array{Real,1}:
> >> 9
> >> 2
> >> 2
> >> 1.3
> >>
> >> but see what you actually get back...
> >> julia> typeof(a)
> >> Int64
> >> julia> typeof(d)
> >> Float64
> >>
> >> That's Julia's type inferencing at play. And functional abilities (map,
> >> parse). See the manual on those.
> >>
> >> Now as originally needed...
> >>
> >> julia> io=IOBuffer("9 2 2 1.3\n")
> >> IOBuffer(data=UInt8[...], readable=true, writable=false, seekable=true,
> >> append=false, size=10, maxsize=Inf, ptr=1, mark=-1)
> >>
> >> julia> n,nup,ndn,a=map(parse,split(readline(io)))
> >> 4-element Array{Real,1}:
> >> 9
> >> 2
> >> 2
> >> 1.3
> >>
> >> julia> typeof(n)
> >> Int64
> >>
> >> julia> typeof(a)
> >> Float64
> >>
> >> It's probably better to do it properly in a function rather than like
> that
> >> as a one-liner - so you can catch exceptions, etc.
> >>
> >> -- Adrian.
> >>
> >>
> >> On Thu, Dec 24, 2015 at 8:36 PM, Steven White <[email protected]
> >> <javascript:>> wrote:
> >>
> >>> Say I have a data file in plain text, which starts with some lines
> that
> >>> describe matrix sizes, etc, for the data that follows. For example,
> the
> >>> first line might be
> >>> 9 2 2 1.3
> >>>
> >>> To read this file, in C I would use something like this call to scanf:
> >>> scanf("%d%d%d%lf",&n,&nup,&ndn,&a);
> >>>
> >>> How do I do this in julia? There doesn't seem to be a simple, obvious
> >>> way. Of course, you can read the line as a string, and parse it using
> >>> regular expressions, but this is much messier than the call to scanf.
> >>>
> >>> Here is a solution:
> >>> getline() = readdlm(IOBuffer(readline()),Any)
> >>>
> >>> n,nup,ndn,a = getline()
> >>>
> >>> This seems to work reliably. (For example, it doesn't choke if there
> >>> happen to be two spaces between some of the numbers.)
> >>>
> >>> It is also obscure and doesn't give any warnings if some of the types
> >>> aren't what was expected. It also seems inefficient if you try to read
> a
> >>> lot of data this way.
> >>>
> >>> Questions: Why isn't something like this (but better) built in to
> >>> julia? Is there some nice method that I've missed that does this
> better?
> >>> Can this getline() function be improved?
> >>>
> >>>
> >>
>
