FGenerators.jl is a package for defining Transducers.jl-compatible
extended foldl with a simple @yield-based syntax. Here are a few
examples for creating ad-hoc "generators":
julia> using FGenerators
julia> @fgenerator function generate123()
@yield 1
@yield 2
@yield 3
end;
julia> collect(generate123())
3-element Array{Int64,1}:
1
2
3
julia> sum(generate123())
6
julia> @fgenerator function organpipe(n::Integer)
i = 0
while i != n
i += 1
@yield i
end
while true
i -= 1
i == 0 && return
@yield i
end
end;
julia> collect(organpipe(3))
5-element Array{Int64,1}:
1
2
3
2
1
julia> @fgenerator function organpipe2(n)
@yieldfrom 1:n
@yieldfrom n-1:-1:1
end;
julia> collect(organpipe2(2))
3-element Array{Int64,1}:
1
2
1FGenerators.jl is a spin-off of GeneratorsX.jl.
Use FLoops.jl to iterate over the items yielded from the generator:
julia> using FLoops
julia> @floop for x in generate123()
@show x
end
x = 1
x = 2
x = 3The foldl protocol can be implemented for an existing type T, by
using the syntax @fgenerator(foldable::T) do .. end:
julia> struct OrganPipe <: Foldable
n::Int
end
julia> @fgenerator(foldable::OrganPipe) do
n = foldable.n
@yieldfrom 1:n
@yieldfrom n-1:-1:1
end;
julia> collect(OrganPipe(2))
3-element Array{Int64,1}:
1
2
1Note that inheriting Foldable is necessary only if using Base API
such as collect. It is not necessary when using just Transducers.jl
API (including FLoops.@floop).
@fgenerator alone is not enough for using parallel loops on the
collection. However it can be easily supported by defining
SplittablesBase.halve
and length (or SplittablesBase.amount if length is hard to
define). Since halve and length has to be implemented on the same
existing type, @fgenerator(...) do notation as above should be used.
Extending OrganPipe example above:
julia> using SplittablesBase
julia> function SplittablesBase.halve(foldable::OrganPipe)
n = foldable.n
return (1:n, n-1:-1:1)
end;
julia> Base.length(foldable::OrganPipe) = 2 * foldable.n - 1;
julia> @floop for x in OrganPipe(2)
@reduce(s += x)
end
s
4@floop can be used inside @fgenerator
julia> @fgenerator function ffilter(f, xs)
@floop for x in xs
if f(x)
@yield x
end
end
end;
julia> collect(ffilter(isodd, generate123()))
2-element Array{Int64,1}:
1
3
julia> collect(ffilter(isodd, organpipe(3)))
3-element Array{Int64,1}:
1
3
1
julia> collect(ffilter(isodd, 1:5)) # fallback to `Base.iterate`
3-element Array{Int64,1}:
1
3
5