Unable to sample posterior of the MC example from JuliaCon 2021 about soss.jl HOT 3 OPEN

using Soss

mc_init = @model begin
	x ~ Normal(0.0, 1.0)
	return (x=x,)
end

mc_step = @model s begin
	x ~ Normal(s.x + 0.1, 0.2)
	return (x = x,)
end

d = Chain(mc_init()) do s mc_step(s=s) end
x = Iterators.take(rand(d), 10) |> collect
logdensity_def(d,x)

ERROR: MethodError: First argument to `convert` must be a Type, got (x = Float64,)
Stacktrace:
 [1] macro expansion
   @ ~/git/Soss.jl/src/primitives/logdensity.jl:92 [inlined]
 [2] _logdensity_def(M::Type{Soss.GeneralizedGenerated.NGG.TypeLevel{Module, "Buf{17}()"}}, _m::Model{NamedTuple{(:p, :s)}, Soss.GeneralizedGenerated.NGG.TypeLevel{Expr, "Buf{23}()"}, Soss.GeneralizedGenerated.NGG.TypeLevel{Module, "Buf{17}()"}}, _args::NamedTuple{(:s, :p), Tuple{NamedTuple{(:x,), Tuple{Float64}}, NamedTuple{(:Δμ, :σ), Tuple{Float64, Float64}}}}, _data::NamedTuple{(), Tuple{}}, _pars::NamedTuple{(:x,), Tuple{Float64}})
   @ Soss ~/git/Soss.jl/src/primitives/logdensity.jl:92
 [3] logdensity_def(c::Soss.ConditionalModel{NamedTuple{(:p, :s)}, Soss.GeneralizedGenerated.NGG.TypeLevel{Expr, "Buf{23}()"}, Soss.GeneralizedGenerated.NGG.TypeLevel{Module, "Buf{17}()"}, NamedTuple{(:s, :p), Tuple{NamedTuple{(:x,), Tuple{Float64}}, NamedTuple{(:Δμ, :σ), Tuple{Float64, Float64}}}}, NamedTuple{(), Tuple{}}}, x::NamedTuple{(:x,), Tuple{Float64}})
   @ Soss ~/git/Soss.jl/src/primitives/logdensity.jl:51
 [4] logdensity_def(mc::Chain{var"#19#20", Soss.ConditionalModel{NamedTuple{()}, Soss.GeneralizedGenerated.NGG.TypeLevel{Expr, "Buf{23}()"}, Soss.GeneralizedGenerated.NGG.TypeLevel{Module, "Buf{17}()"}, NamedTuple{(), Tuple{}}, NamedTuple{(), Tuple{}}}}, x::Vector{Any})
   @ MeasureTheory ~/.julia/packages/MeasureTheory/MeOXc/src/combinators/chain.jl:28
 [5] top-level scope
   @ REPL[89]:1

ERROR: MethodError: First argument to `convert` must be a Type, got (x = Float64,)

julia> mc_step = @model x begin
               y ~ Normal(x + 0.1, 0.2)
               return y
       end;

julia> d = Chain(Normal()) do s mc_step(s) end;

julia> x = Iterators.take(rand(d), 10) |> collect;

julia> logdensity_def(d,x)
ERROR: MethodError: no method matching keys(::Type{Float64})
Closest candidates are:
  keys(::Union{Tables.AbstractColumns, Tables.AbstractRow}) at ~/.julia/packages/Tables/PxO1m/src/Tables.jl:184
  keys(::Missings.EachReplaceMissing) at ~/.julia/packages/Missings/r1STI/src/Missings.jl:94
  keys(::DataStructures.Trie) at ~/.julia/packages/DataStructures/59MD0/src/trie.jl:82
  ...
Stacktrace:
 [1] loadvals(argstype::Type, datatype::Type, parstype::Type)
   @ Soss ~/git/Soss.jl/src/core/utils.jl:217
 [2] #s112#76
   @ ~/git/Soss.jl/src/primitives/logdensity.jl:92 [inlined]
 [3] var"#s112#76"(::Any, M::Any, _m::Any, _args::Any, _data::Any, _pars::Any)
   @ Soss ./none:0
 [4] (::Core.GeneratedFunctionStub)(::Any, ::Vararg{Any})
   @ Core ./boot.jl:582
 [5] logdensity_def(c::Soss.ConditionalModel{NamedTuple{(:x,)}, Soss.GeneralizedGenerated.NGG.TypeLevel{Expr, "Buf{23}()"}, Soss.GeneralizedGenerated.NGG.TypeLevel{Module, "Buf{17}()"}, NamedTuple{(:x,), Tuple{Float64}}, NamedTuple{(), Tuple{}}}, x::Float64)
   @ Soss ~/git/Soss.jl/src/primitives/logdensity.jl:50
 [6] logdensity_def(mc::Chain{var"#11#12", Normal{(), Tuple{}}}, x::Vector{Any})
   @ MeasureTheory ~/.julia/packages/MeasureTheory/Mrznp/src/combinators/chain.jl:28
 [7] top-level scope
   @ REPL[24]:1