I am trying to adapt the code of Thread-safe array building - #2 by yuyichao for Array{Float64,1}:
num_monte = Int(1e6)
solution_data = Vector{Array{Float64,1}}()
for i in 1:Threads.nthreads()
push!(solution_data, Array{Float64,1}[])
end
Threads.@threads for i in 1:num_monte
push!(solution_data[Threads.threadid()],[1.0; 2.0])
end
TaskFailedException:
MethodError: Cannot convert an object of type Array{Float64,1} to an object of type Float64
Closest candidates are:
convert(::Type{T}, !Matched::Ratios.SimpleRatio{S}) where {T<:AbstractFloat, S} at /home/mat/.julia/packages/Ratios/uRs4y/src/Ratios.jl:14
convert(::Type{T}, !Matched::T) where T<:Number at number.jl:6
convert(::Type{T}, !Matched::Number) where T<:Number at number.jl:7
…
Stacktrace:
[1] push!(::Array{Float64,1}, ::Array{Float64,1}) at ./array.jl:912
[2] macro expansion at ./In[87]:7 [inlined]
[3] (::var"#804#threadsfor_fun#28"{UnitRange{Int64}})(::Bool) at ./threadingconstructs.jl:61
[4] (::var"#804#threadsfor_fun#28"{UnitRange{Int64}})() at ./threadingconstructs.jl:28
Stacktrace:
[1] wait(::Task) at ./task.jl:267
[2] macro expansion at ./threadingconstructs.jl:69 [inlined]
[3] macro expansion at ./util.jl:175 [inlined]
[4] top-level scope at ./In[87]:6