Hmm, tried my luck ... but
If I add this to bitarray.jl
find(B::BitArray) = find(Int[], B::BitArray)
function find(indexes, B::BitArray)
l = length(B)
nnzB = countnz(B)
# I = Array(Int, nnzB)
I = similar(indexes, nnzB)
it works but I also get these strange warnings when rebuilding. And I say
strange because I don't even find any *findbitarray.jl* in my Julia
instalation
Warning: New definition
findbitarray.jl
could not show value of type Tupleintset.jl
at bitarray.jl:1330dict.jl
is ambiguous with:
findset.jl
could not show value of type Tuplehashing.jl
at array.jl:1052iterator.jl
.
To fix, define
findinference.jl
could not show value of type Tupleosutils.jl
before the new definition.
char.jl
Warning: New definition
findascii.jl
could not show value of type Tupleutf8.jl
at bitarray.jl:1330utf16.jl
is ambiguous with:
findutf32.jl
could not show value of type Tupleiobuffer.jl
at array.jl:1077string.jl
.
To fix, define
findutf8proc.jl
could not show value of type Tupleregex.jl
Domingo, 13 de Julho de 2014 19:52:48 UTC+1, Tim Holy escreveu:
>
> But actually your point is a good one, and is one more argument for
> https://github.com/JuliaLang/julia/issues/1115
> Over time more and more functions have been modified to have this type of
> interface, so certainly there is room for a
> find!(indexes, testf::Function, x)
> function. `find` could then be written as
> find(testf::Function, x) = find!(Int[], testf, x)
>
> Since this matters to you, care to prepare a pull request for this and any
> others that annoy you?
>
> --Tim
>
> On Sunday, July 13, 2014 11:38:46 AM J Luis wrote:
> > Thanks. That's what I intend to do but I confess that I find the default
> to
> > Int64 a bit annoying (for example when writing wrappers to C functions
> whre
> > the Int(s) arguments are almost never Int64)
> >
> > Domingo, 13 de Julho de 2014 10:50:12 UTC+1, Tim Holy escreveu:
> > > If this really matters to you, check out the implementations of find
> in
> > > base/array.jl. It's so short, you can trivially implement whatever
> > > behavior
> > > you want. For example, you could pass in an empty output array and
> have it
> > > push! the indexes into it.
> > >
> > > --Tim
> > >
> > > On Saturday, July 12, 2014 12:43:29 PM J Luis wrote:
> > > > > julia> find(x->x>5,a)
> > > > >
> > > > > 5-element Array{Int64,1}:
> > > > > 1
> > > > > 2
> > > > > 7
> > > > > 8
> > > > >
> > > > > 10
> > > >
> > > > which very very sadly are Int64. When dealing with large matrices
> this
> > >
> > > may
> > >
> > > > lead to a large memory waste. These almost mandatory 64 bits issue
> is
> > >
> > > one
> > >
> > > > the things that annoyed me more in Matlab for many times it was the
> > > > difference between having something work ... or not
>
>
