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  1. TaskFailedException
  2.  
  3. nested task error: TaskFailedException
  4.  
  5. nested task error: MethodError: no method matching _gammalogcdf(::ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}, ::ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}, ::ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1})
  6. Stacktrace:
  7. [1] gammalogcdf(k::Int64, θ::Int64, x::ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1})
  8. @ StatsFuns ~/.julia/packages/StatsFuns/beHKc/src/distrs/gamma.jl:47
  9. [2] poislogccdf(λ::ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}, x::Int64)
  10. @ StatsFuns ~/.julia/packages/StatsFuns/beHKc/src/distrs/pois.jl:32
  11. [3] logccdf(d::Poisson{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, x::Int64)
  12. @ Distributions ~/.julia/packages/Distributions/bQ6Gj/src/univariates.jl:639
  13. [4] macro expansion
  14. @ ~/.julia/packages/DynamicPPL/UFajj/src/utils.jl:73 [inlined]
  15. [5] macro expansion
  16. @ ~/.julia/packages/DynamicPPL/UFajj/src/compiler.jl:539 [inlined]
  17. [6] poisson_model_fast(__model__::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, __varinfo__::DynamicPPL.ThreadSafeVarInfo{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, Vector{Set{DynamicPPL.Selector}}}}}, ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, Vector{Base.RefValue{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}, __context__::DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}, nzero::Int64, N::Int64)
  18. @ Main ./In[10]:4
  19. [7] macro expansion
  20. @ ~/.julia/packages/DynamicPPL/UFajj/src/model.jl:593 [inlined]
  21. [8] _evaluate!!(model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, varinfo::DynamicPPL.ThreadSafeVarInfo{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, Vector{Set{DynamicPPL.Selector}}}}}, ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, Vector{Base.RefValue{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}, context::DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG})
  22. @ DynamicPPL ~/.julia/packages/DynamicPPL/UFajj/src/model.jl:576
  23. [9] evaluate_threadsafe!!(model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, varinfo::DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, Vector{Set{DynamicPPL.Selector}}}}}, ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, context::DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG})
  24. @ DynamicPPL ~/.julia/packages/DynamicPPL/UFajj/src/model.jl:567
  25. [10] evaluate!!(model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, varinfo::DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, Vector{Set{DynamicPPL.Selector}}}}}, ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}, context::DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG})
  26. @ DynamicPPL ~/.julia/packages/DynamicPPL/UFajj/src/model.jl:502
  27. [11] logdensity(f::LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, θ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}})
  28. @ DynamicPPL ~/.julia/packages/DynamicPPL/UFajj/src/logdensityfunction.jl:94
  29. [12] (::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}})(y::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}})
  30. @ Base ./operators.jl:1096
  31. [13] vector_mode_dual_eval!(f::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}, x::Vector{Float64})
  32. @ ForwardDiff ~/.julia/packages/ForwardDiff/QdStj/src/apiutils.jl:37
  33. [14] vector_mode_gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}})
  34. @ ForwardDiff ~/.julia/packages/ForwardDiff/QdStj/src/gradient.jl:113
  35. [15] gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}, ::Val{true})
  36. @ ForwardDiff ~/.julia/packages/ForwardDiff/QdStj/src/gradient.jl:37
  37. [16] gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}})
  38. @ ForwardDiff ~/.julia/packages/ForwardDiff/QdStj/src/gradient.jl:35
  39. [17] logdensity_and_gradient(fℓ::LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}, x::Vector{Float64})
  40. @ LogDensityProblemsAD.ForwardDiffExt ~/.julia/packages/LogDensityProblemsAD/vM7so/ext/ForwardDiffExt.jl:63
  41. [18] (::Turing.Inference.var"#∂logπ∂θ#44"{LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}})(x::Vector{Float64})
  42. @ Turing.Inference ~/.julia/packages/Turing/b6CoW/src/inference/hmc.jl:165
  43. [19] ∂H∂θ(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}}, Turing.Inference.var"#∂logπ∂θ#44"{LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}}}, θ::Vector{Float64})
  44. @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9L3Qc/src/hamiltonian.jl:38
  45. [20] phasepoint(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}}, Turing.Inference.var"#∂logπ∂θ#44"{LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}}}, θ::Vector{Float64}, r::Vector{Float64})
  46. @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9L3Qc/src/hamiltonian.jl:80
  47. [21] phasepoint(rng::Random._GLOBAL_RNG, θ::Vector{Float64}, h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}}, Turing.Inference.var"#∂logπ∂θ#44"{LogDensityProblemsAD.ForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random._GLOBAL_RNG}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Turing.TuringTag, Float64}, Float64, 1}}}}}})
  48. @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9L3Qc/src/hamiltonian.jl:159
  49. [22] initialstep(rng::Random._GLOBAL_RNG, model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, vi::DynamicPPL.TypedVarInfo{NamedTuple{(:λ,), Tuple{DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:λ, Setfield.IdentityLens}, Int64}, Vector{Uniform{Float64}}, Vector{AbstractPPL.VarName{:λ, Setfield.IdentityLens}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}}, Float64}; init_params::Nothing, nadapts::Int64, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
  50. @ Turing.Inference ~/.julia/packages/Turing/b6CoW/src/inference/hmc.jl:169
  51. [23] step(rng::Random._GLOBAL_RNG, model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}; resume_from::Nothing, init_params::Nothing, kwargs::Base.Pairs{Symbol, Int64, Tuple{Symbol}, NamedTuple{(:nadapts,), Tuple{Int64}}})
  52. @ DynamicPPL ~/.julia/packages/DynamicPPL/UFajj/src/sampler.jl:111
  53. [24] macro expansion
  54. @ ~/.julia/packages/AbstractMCMC/F9Hbk/src/sample.jl:125 [inlined]
  55. [25] macro expansion
  56. @ ~/.julia/packages/AbstractMCMC/F9Hbk/src/logging.jl:16 [inlined]
  57. [26] mcmcsample(rng::Random._GLOBAL_RNG, model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, discard_initial::Int64, thinning::Int64, chain_type::Type, kwargs::Base.Pairs{Symbol, Union{Nothing, Int64}, Tuple{Symbol, Symbol}, NamedTuple{(:nadapts, :init_params), Tuple{Int64, Nothing}}})
  58. @ AbstractMCMC ~/.julia/packages/AbstractMCMC/F9Hbk/src/sample.jl:116
  59. [27] #sample#42
  60. @ ~/.julia/packages/Turing/b6CoW/src/inference/hmc.jl:133 [inlined]
  61. [28] macro expansion
  62. @ ~/.julia/packages/AbstractMCMC/F9Hbk/src/sample.jl:370 [inlined]
  63. [29] (::AbstractMCMC.var"#35#48"{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, Random._GLOBAL_RNG, UnitRange{Int64}, Bool, Base.Pairs{Symbol, Any, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:chain_type, :discard_initial, :thinning), Tuple{UnionAll, Int64, Int64}}}, Int64, Vector{Any}, Nothing, Vector{UInt64}})()
  64. @ AbstractMCMC ./threadingconstructs.jl:258
  65.  
  66. ...and 7 more exceptions.
  67.  
  68. Stacktrace:
  69. [1] sync_end(c::Channel{Any})
  70. @ Base ./task.jl:436
  71. [2] macro expansion
  72. @ ./task.jl:455 [inlined]
  73. [3] macro expansion
  74. @ ~/.julia/packages/AbstractMCMC/F9Hbk/src/sample.jl:349 [inlined]
  75. [4] (::AbstractMCMC.var"#34#47"{Bool, Base.Pairs{Symbol, Any, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:chain_type, :discard_initial, :thinning), Tuple{UnionAll, Int64, Int64}}}, Int64, Int64, Vector{Any}, Nothing, Vector{UInt64}, Vector{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}}, Vector{DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}}, Vector{Random._GLOBAL_RNG}, Int64, Int64})()
  76. @ AbstractMCMC ./task.jl:484
  77.  
  78. Stacktrace:
  79. [1] sync_end(c::Channel{Any})
  80. @ Base ./task.jl:436
  81. [2] macro expansion
  82. @ ./task.jl:455 [inlined]
  83. [3] macro expansion
  84. @ ~/.julia/packages/AbstractMCMC/F9Hbk/src/sample.jl:327 [inlined]
  85. [4] macro expansion
  86. @ ~/.julia/packages/ProgressLogging/6KXlp/src/ProgressLogging.jl:328 [inlined]
  87. [5] (::AbstractMCMC.var"#32#45"{Bool, String, Base.Pairs{Symbol, Any, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:chain_type, :discard_initial, :thinning), Tuple{UnionAll, Int64, Int64}}}, Int64, Int64, Vector{Any}, Nothing, Vector{UInt64}, Vector{DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}}, Vector{DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}}, Vector{Random._GLOBAL_RNG}, UnitRange{Int64}, Int64, Int64})()
  88. @ AbstractMCMC ~/.julia/packages/AbstractMCMC/F9Hbk/src/logging.jl:12
  89. [6] with_logstate(f::Function, logstate::Any)
  90. @ Base.CoreLogging ./logging.jl:511
  91. [7] with_logger(f::Function, logger::LoggingExtras.TeeLogger{Tuple{LoggingExtras.EarlyFilteredLogger{ConsoleProgressMonitor.ProgressLogger, AbstractMCMC.var"#1#3"{Module}}, LoggingExtras.EarlyFilteredLogger{Logging.ConsoleLogger, AbstractMCMC.var"#2#4"{Module}}}})
  92. @ Base.CoreLogging ./logging.jl:623
  93. [8] with_progresslogger(f::Function, _module::Module, logger::Logging.ConsoleLogger)
  94. @ AbstractMCMC ~/.julia/packages/AbstractMCMC/F9Hbk/src/logging.jl:36
  95. [9] macro expansion
  96. @ ~/.julia/packages/AbstractMCMC/F9Hbk/src/logging.jl:11 [inlined]
  97. [10] mcmcsample(rng::Random._GLOBAL_RNG, model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, ::MCMCThreads, N::Int64, nchains::Int64; progress::Bool, progressname::String, init_params::Nothing, kwargs::Base.Pairs{Symbol, Any, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:chain_type, :discard_initial, :thinning), Tuple{UnionAll, Int64, Int64}}})
  98. @ AbstractMCMC ~/.julia/packages/AbstractMCMC/F9Hbk/src/sample.jl:321
  99. [11] sample(rng::Random._GLOBAL_RNG, model::DynamicPPL.Model{typeof(poisson_model_fast), (:nzero, :N), (), (), Tuple{Int64, Int64}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{Turing.Essential.ForwardDiffAD{0}, (), AdvancedHMC.DiagEuclideanMetric}}, ensemble::MCMCThreads, N::Int64, n_chains::Int64; chain_type::Type, progress::Bool, kwargs::Base.Pairs{Symbol, Int64, Tuple{Symbol, Symbol}, NamedTuple{(:discard_initial, :thinning), Tuple{Int64, Int64}}})
  100. @ Turing.Inference ~/.julia/packages/Turing/b6CoW/src/inference/Inference.jl:221
  101. [12] #sample#6
  102. @ ~/.julia/packages/Turing/b6CoW/src/inference/Inference.jl:206 [inlined]
  103. [13] #sample#5
  104. @ ~/.julia/packages/Turing/b6CoW/src/inference/Inference.jl:193 [inlined]
  105. [14] top-level scope
  106. @ In[20]:4
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