Error deserializing type with parallel macro

Hi,

I’ve got a problem when trying to aggregate using the @parallel macro, looks like an issue deserializing a dictionary datatype:

LoadError: On worker 2:
TypeError: Array: in parameter, expected Type{T}, got Dict{Array{Any,N},Int64}
in deserialize_datatype at .\serialize.jl:830
in handle_deserialize at .\serialize.jl:571
in collect at .\array.jl:307
in deserialize at .\serialize.jl:588
in handle_deserialize at .\serialize.jl:581
in deserialize at .\serialize.jl:541
in deserialize_datatype at .\serialize.jl:829
in handle_deserialize at .\serialize.jl:571
in deserialize at .\serialize.jl:881
in deserialize_datatype at .\serialize.jl:835
in handle_deserialize at .\serialize.jl:571
in deserialize_array at .\serialize.jl:709
in handle_deserialize at .\serialize.jl:569
in deserialize at .\serialize.jl:541
in ntuple at .\tuple.jl:65
in handle_deserialize at .\serialize.jl:562
in deserialize_msg at .\multi.jl:120
in message_handler_loop at .\multi.jl:1317
in process_tcp_streams at .\multi.jl:1276
in #620 at .\event.jl:68
while loading In[9], in expression starting on line 2

in yieldto(::Task, ::ANY) at .\event.jl:136
in wait() at .\event.jl:169
in wait(::Condition) at .\event.jl:27
in wait(::Task) at .\task.jl:132
in collect(::Base.Generator{Array{Task,1},Base.#wait}) at .\array.jl:307
in preduce(::Function, ::Function, ::Array{BuLossVector,2}) at .\multi.jl:2002
in (::##21#23)(::Array{BuLossVector,2}) at .\multi.jl:2011

Sample types and functions:

addprocs(1)
@everywhere begin
   
    type BuLossVector
        ba_yelt::Dict{Array{Any}, Int64}
    end

    function BuLossVector()
        return BuLossVector(Dict{Array{Any}, Int64}())
    end

    import Base.+
    function +(x::BuLossVector, y::BuLossVector)

        z = BuLossVector()
        z.ba_yelt = merge_sum(x.ba_yelt, y.ba_yelt)
        return z
    end

    function merge_sum(d::Associative, others::Associative...)

        result_dict = copy(d)
        for other in others
            for (k,v) in other
                result_dict[k] = haskey(result_dict, k) ? d[k] + v : v
            end
        end
        return result_dict
    end
end

code to run test

a = BuLossVector()
b = BuLossVector()
c = BuLossVector()
d = BuLossVector()

a.ba_yelt[[16 1]] = 2
a.ba_yelt[[16 2]] = 4
b.ba_yelt[[16 1]] = 10
b.ba_yelt[[16 2]] = 40

c.ba_yelt[[16 1]] = 2
c.ba_yelt[[16 2]] = 4
d.ba_yelt[[16 1]] = 10
d.ba_yelt[[16 2]] = 40

bu_vecs = [a b c d]

the following code fails with the error outlined above.

result = @parallel (+) for bu_vec in bu_vecs 
    println(bu_vec)    
end

Regards,
Adrian.