multiple MCMC chains trigger an error

[MichelJuillard]

The error is the following

julia> @time dynare("nk_est_a","stoponerror");
Dynare version: 0.9.1
2024-01-23T15:35:35.551: Starting @dynare nk_est_a
["nk_est_a.mod", "language=julia", "json=compute"]
Dynare preprocessor version: 6.4.0+0
Starting preprocessing of the model file ...
Found 8 equation(s).
Evaluating expressions...
Computing static model derivatives (order 1).
Normalizing the static model...
Finding the optimal block decomposition of the static model...
5 block(s) found:
  4 recursive block(s) and 1 simultaneous block(s).
  the largest simultaneous block has 3 equation(s)
                                 and 3 feedback variable(s).
Computing dynamic model derivatives (order 2).
Normalizing the dynamic model...
Finding the optimal block decomposition of the dynamic model...
3 block(s) found:
  2 recursive block(s) and 1 simultaneous block(s).
  the largest simultaneous block has 3 equation(s)
                                 and 3 feedback variable(s).
JSON written after Computing step.
Preprocessing completed.

2024-01-23T15:35:35.643: End of preprocessing
2024-01-23T15:35:37.696: Start parse_statements!
ERROR: Unrecognized statement native rwmh_compute!(datafile="dsge1_data.csv", mcmc_replic=100000, mcmc_jscale=0.03, mcmc_chains=2, transformed_parameters=false, initial_values=context.work.estimated_parameters.initialvalue);
Stacktrace:
 [1] error(s::String)
   @ Base ./error.jl:35
 [2] parse_statements!(context::Context, statements::Vector{Any})
   @ Dynare ~/projects/DynareJulia/Dynare.jl/src/DynareParser.jl:287
 [3] parser(modfilename::String, commandlineoptions::Dynare.CommandLineOptions)
   @ Dynare ~/projects/DynareJulia/Dynare.jl/src/DynareParser.jl:224
 [4] dynare(modfile_arg::String, args::String)
   @ Dynare ~/projects/DynareJulia/Dynare.jl/src/Dynare.jl:103
 [5] macro expansion
   @ ./timing.jl:279 [inlined]
 [6] top-level scope
   @ ./REPL[5]:1

caused by: TaskFailedException

    nested task error: TaskFailedException
    
        nested task error: MethodError: no method matching MCMCChains.Chains(::Vector{…}, ::Vector{…}, ::@NamedTuple{…}; start::Int64, thin::Int64)
        
        Closest candidates are:
          MCMCChains.Chains(::AbstractArray{<:Union{Missing, Real}, 3}, ::AbstractVector{Symbol}, ::Any; start, thin, iterations, evidence, info)
           @ MCMCChains ~/.julia/packages/MCMCChains/AQENn/src/chains.jl:28
          MCMCChains.Chains(::AbstractVector{<:AbstractVector{<:Union{Missing, Real}}}, ::Any...; kwargs...)
           @ MCMCChains ~/.julia/packages/MCMCChains/AQENn/src/chains.jl:6
          MCMCChains.Chains(::AbstractVector{<:Union{Missing, Real}}, ::Any...; kwargs...)
           @ MCMCChains ~/.julia/packages/MCMCChains/AQENn/src/chains.jl:10
          ...
        
        Stacktrace:
         [1] bundle_samples(ts::Vector{…}, model::AbstractMCMC.LogDensityModel{…}, sampler::AdvancedMH.MetropolisHastings{…}, state::AdvancedMH.Transition{…}, chain_type::Type{…}; discard_initial::Int64, thinning::Int64, param_names::Vector{…}, kwargs::@Kwargs{…})
           @ AdvancedMHMCMCChainsExt ~/.julia/packages/AdvancedMH/Yiy0x/ext/AdvancedMHMCMCChainsExt.jl:35
         [2] mcmcsample(rng::Random.TaskLocalRNG, model::AbstractMCMC.LogDensityModel{…}, sampler::AdvancedMH.MetropolisHastings{…}, N::Int64; progress::Bool, progressname::String, callback::Nothing, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{…})
           @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:195
         [3] mcmcsample
           @ ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:95 [inlined]
         [4] #sample#17
           @ ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:51 [inlined]
         [5] sample
           @ ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:44 [inlined]
         [6] (::AbstractMCMC.var"#32#45"{…})()
           @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:387
    
    ...and 1 more exception.
    
    Stacktrace:
     [1] sync_end(c::Channel{Any})
       @ Base ./task.jl:448
     [2] macro expansion
       @ ./task.jl:480 [inlined]
     [3] (::AbstractMCMC.var"#31#44"{…})()
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:361
Stacktrace:
  [1] sync_end(c::Channel{Any})
    @ Base ./task.jl:448
  [2] macro expansion
    @ ./task.jl:480 [inlined]
  [3] macro expansion
    @ ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:339 [inlined]
  [4] macro expansion
    @ ~/.julia/packages/ProgressLogging/6KXlp/src/ProgressLogging.jl:328 [inlined]
  [5] macro expansion
    @ ~/.julia/packages/AbstractMCMC/Es490/src/logging.jl:9 [inlined]
  [6] mcmcsample(rng::Random.TaskLocalRNG, model::AbstractMCMC.LogDensityModel{…}, sampler::AdvancedMH.MetropolisHastings{…}, ::AbstractMCMC.MCMCThreads, N::Int64, nchains::Int64; progress::Bool, progressname::String, initial_params::FillArrays.Fill{…}, initial_state::Nothing, kwargs::@Kwargs{…})
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:333
  [7] mcmcsample
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:292 [inlined]
  [8] #sample#19
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:90 [inlined]
  [9] sample
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:81 [inlined]
 [10] #sample#86
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/logdensityproblems.jl:73 [inlined]
 [11] sample
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/logdensityproblems.jl:64 [inlined]
 [12] #sample#18
    @ AbstractMCMC ~/.julia/packages/AbstractMCMC/Es490/src/sample.jl:62 [inlined]
 [13] run_mcmc(posterior_density::Dynare.DSGELogPosteriorDensity{…}, initial_values::Vector{…}, proposal_covariance::Matrix{…}, param_names::Vector{…}, mcmc_replic::Int64, mcmc_chains::Int64)
    @ Dynare ~/projects/DynareJulia/Dynare.jl/src/estimation/estimation.jl:1029
 [14] mh_estimation(context::Context, observations::LinearAlgebra.Transpose{…}, obsvarnames::Vector{…}, initial_values::Vector{…}; covariance::Matrix{…}, back_transformation::Bool, first_obs::Int64, last_obs::Int64, mcmc_chains::Int64, mcmc_replic::Int64, transformed_covariance::Matrix{…}, transformed_parameters::Bool, kwargs::@Kwargs{})
    @ Dynare ~/projects/DynareJulia/Dynare.jl/src/estimation/estimation.jl:1005
 [15] rwmh_compute!(; context::Context, back_transformation::Bool, datafile::String, data::AxisArrayTables.AxisArrayTable{…}, diffuse_filter::Bool, display::Bool, fast_kalman_filter::Bool, first_obs::Int64, initial_values::Vector{…}, covariance::Matrix{…}, transformed_covariance::Matrix{…}, last_obs::Int64, mcmc_chains::Int64, mcmc_init_scale::Float64, mcmc_jscale::Float64, mcmc_replic::Int64, mode_compute::Bool, nobs::Int64, order::Int64, plot_chain::Bool, plot_posterior_density::Bool, presample::Int64, transformed_parameters::Bool)
    @ Dynare ~/projects/DynareJulia/Dynare.jl/src/estimation/estimation.jl:251
 [16] top-level scope
    @ none:1
Some type information was truncated. Use `show(err)` to see complete types.

• maybe a recent change in AdvancedMH.jl call to sample() with several chains?