From 19845576bbe294bcd4c3a49459ad8bf43dac41aa Mon Sep 17 00:00:00 2001
From: Tor Erlend Fjelde <tor.erlend95@gmail.com>
Date: Mon, 13 Mar 2023 22:31:54 +0000
Subject: [PATCH 1/4] remove an overly specialized default bundle_sample

---
 src/interface.jl | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/src/interface.jl b/src/interface.jl
index eaecb492..39e1843e 100644
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -35,14 +35,6 @@ function bundle_samples(
     return samples
 end
 
-function bundle_samples(
-    samples::Vector, ::AbstractModel, ::AbstractSampler, ::Any, ::Type{Vector{T}}; kwargs...
-) where {T}
-    return map(samples) do sample
-        convert(T, sample)
-    end
-end
-
 """
     step(rng, model, sampler[, state; kwargs...])
 

From f91067c4bed3aabb5466e26d0cfb089e93f62a9a Mon Sep 17 00:00:00 2001
From: Tor Erlend Fjelde <tor.erlend95@gmail.com>
Date: Mon, 13 Mar 2023 22:32:24 +0000
Subject: [PATCH 2/4] bump minor version

---
 Project.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Project.toml b/Project.toml
index 40494911..8382775b 100644
--- a/Project.toml
+++ b/Project.toml
@@ -3,7 +3,7 @@ uuid = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
 keywords = ["markov chain monte carlo", "probablistic programming"]
 license = "MIT"
 desc = "A lightweight interface for common MCMC methods."
-version = "4.4.0"
+version = "4.5.0"
 
 [deps]
 BangBang = "198e06fe-97b7-11e9-32a5-e1d131e6ad66"

From 5a6fffc1c37a59a2f4e396f6633dce9a81160fb0 Mon Sep 17 00:00:00 2001
From: Tor Erlend Fjelde <tor.erlend95@gmail.com>
Date: Mon, 13 Mar 2023 22:44:36 +0000
Subject: [PATCH 3/4] removed no longer relevant test

---
 test/sample.jl | 15 ---------------
 1 file changed, 15 deletions(-)

diff --git a/test/sample.jl b/test/sample.jl
index fcd3ab13..fa2bb3bc 100644
--- a/test/sample.jl
+++ b/test/sample.jl
@@ -553,21 +553,6 @@
         @test all(chain[i].b == ref_chain[i].b for i in 1:N)
     end
 
-    @testset "Sample vector of `NamedTuple`s" begin
-        chain = sample(MyModel(), MySampler(), 1_000; chain_type=Vector{NamedTuple})
-        # Check output type
-        @test chain isa Vector{<:NamedTuple}
-        @test length(chain) == 1_000
-        @test all(keys(x) == (:a, :b) for x in chain)
-
-        # Check some statistical properties
-        @test ismissing(chain[1].a)
-        @test mean(x.a for x in view(chain, 2:1_000)) ≈ 0.5 atol = 6e-2
-        @test var(x.a for x in view(chain, 2:1_000)) ≈ 1 / 12 atol = 1e-2
-        @test mean(x.b for x in chain) ≈ 0 atol = 0.1
-        @test var(x.b for x in chain) ≈ 1 atol = 0.15
-    end
-
     @testset "Testing callbacks" begin
         function count_iterations(
             rng, model, sampler, sample, state, i; iter_array, kwargs...

From 216488fd863f6bc3abb4b12f7336d103be372db7 Mon Sep 17 00:00:00 2001
From: Tor Erlend Fjelde <tor.erlend95@gmail.com>
Date: Mon, 13 Mar 2023 22:44:58 +0000
Subject: [PATCH 4/4] removed no longer relevant piece of code

---
 test/utils.jl | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/test/utils.jl b/test/utils.jl
index f69fcdab..8e4a36c3 100644
--- a/test/utils.jl
+++ b/test/utils.jl
@@ -79,9 +79,6 @@ function AbstractMCMC.chainscat(
     return vcat(chain, chains...)
 end
 
-# Conversion to NamedTuple
-Base.convert(::Type{NamedTuple}, x::MySample) = (a=x.a, b=x.b)
-
 # Gaussian log density (without additive constants)
 # Without LogDensityProblems.jl interface
 mylogdensity(x) = -sum(abs2, x) / 2