Replace vectorize(d, r) -> DynamicPPL.tovec(r)

vectorize was removed in DynamicPPL 0.29.0

Author: penelopeysm

src/mcmc/Inference.jl

@@ -5,7 +5,7 @@ using DynamicPPL: Metadata, VarInfo, TypedVarInfo,
     islinked, invlink!, link!,
     setindex!!, push!!,
     setlogp!!, getlogp,
-    VarName, getsym, vectorize,
+    VarName, getsym,
     _getvns, getdist,
     Model, Sampler, SampleFromPrior, SampleFromUniform,
     DefaultContext, PriorContext,

src/mcmc/ess.jl

@@ -85,7 +85,7 @@ struct ESSPrior{M<:Model,S<:Sampler{<:ESS},V<:AbstractVarInfo,T}
             dist = getdist(varinfo, vn)
             EllipticalSliceSampling.isgaussian(typeof(dist)) ||
                 error("[ESS] only supports Gaussian prior distributions")
-            vectorize(dist, mean(dist))
+            DynamicPPL.tovec(mean(dist))
         end
         return new{M,S,V,typeof(μ)}(model, sampler, varinfo, μ)
     end

src/mcmc/particle_mcmc.jl

@@ -380,7 +380,7 @@ function DynamicPPL.assume(
         elseif is_flagged(vi, vn, "del")
             unset_flag!(vi, vn, "del") # Reference particle parent
             r = rand(trng, dist)
-            vi[vn] = vectorize(dist, r)
+            vi[vn] = DynamicPPL.tovec(r)
             DynamicPPL.setgid!(vi, spl.selector, vn)
             setorder!(vi, vn, get_num_produce(vi))
         else

test/Project.toml

@@ -45,7 +45,7 @@ Clustering = "0.14, 0.15"
 Distributions = "0.25"
 DistributionsAD = "0.6.3"
 DynamicHMC = "2.1.6, 3.0"
-DynamicPPL = "0.28, 0.29"
+DynamicPPL = "0.29"
 FiniteDifferences = "0.10.8, 0.11, 0.12"
 ForwardDiff = "0.10.12 - 0.10.32, 0.10"
 HypothesisTests = "0.11"