Apply suggestions from code review

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: torfjelde

src/sample.jl

@@ -432,8 +432,10 @@ function mcmcsample(
     check_initial_params(initial_params, nchains)
     check_initial_state(initial_state, nchains)
 
-    _initial_params = initial_params === nothing ? FillArrays.Fill(nothing, nchains) : initial_params
-    _initial_state = initial_state === nothing ? FillArrays.Fill(nothing, nchains) : initial_state
+    _initial_params =
+        initial_params === nothing ? FillArrays.Fill(nothing, nchains) : initial_params
+    _initial_state =
+        initial_state === nothing ? FillArrays.Fill(nothing, nchains) : initial_state
 
     # Create a seed for each chain using the provided random number generator.
     seeds = rand(rng, UInt, nchains)
@@ -528,8 +530,10 @@ function mcmcsample(
     check_initial_params(initial_params, nchains)
     check_initial_state(initial_state, nchains)
 
-    _initial_params = initial_params === nothing ? FillArrays.Fill(nothing, nchains) : initial_params
-    _initial_state = initial_state === nothing ? FillArrays.Fill(nothing, nchains) : initial_state
+    _initial_params =
+        initial_params === nothing ? FillArrays.Fill(nothing, nchains) : initial_params
+    _initial_state =
+        initial_state === nothing ? FillArrays.Fill(nothing, nchains) : initial_state
 
     # Create a seed for each chain using the provided random number generator.
     seeds = rand(rng, UInt, nchains)

test/sample.jl

@@ -366,7 +366,15 @@
         @test all(length(x) == N for x in chains)
 
         Random.seed!(1234)
-        chains = sample(MyModel(), MySampler(), MCMCSerial(), N, 1000; chain_type=MyChain, progress=false)
+        chains = sample(
+            MyModel(),
+            MySampler(),
+            MCMCSerial(),
+            N,
+            1000;
+            chain_type=MyChain,
+            progress=false,
+        )
 
         # Test output type and size.
         @test chains isa Vector{<:MyChain}
@@ -382,7 +390,15 @@
 
         # Test reproducibility.
         Random.seed!(1234)
-        chains2 = sample(MyModel(), MySampler(), MCMCSerial(), N, 1000; chain_type=MyChain, progress=false)
+        chains2 = sample(
+            MyModel(),
+            MySampler(),
+            MCMCSerial(),
+            N,
+            1000;
+            chain_type=MyChain,
+            progress=false,
+        )
         @test all(ismissing(c.as[1]) for c in chains2)
         @test all(c1.as[i] == c2.as[i] for (c1, c2) in zip(chains, chains2), i in 2:N)
         @test all(c1.bs[i] == c2.bs[i] for (c1, c2) in zip(chains, chains2), i in 1:N)
@@ -660,8 +676,10 @@
     end
 
     @testset "Providing initial state" begin
-        function record_state(rng, model, sampler, sample, state, i; states_channel, kwargs...)
-            put!(states_channel, state)
+        function record_state(
+            rng, model, sampler, sample, state, i; states_channel, kwargs...
+        )
+            return put!(states_channel, state)
         end
 
         initial_state = 10
@@ -670,10 +688,12 @@
             n = 10
             states_channel = Channel{Int}(n)
             chain = sample(
-                MyModel(), MySampler(), n;
+                MyModel(),
+                MySampler(),
+                n;
                 initial_state=initial_state,
                 callback=record_state,
-                states_channel=states_channel
+                states_channel=states_channel,
             )
 
             # Extract the states.
@@ -684,11 +704,8 @@
             end
         end
 
-        @testset "sample with $mode" for mode in [
-            MCMCSerial(),
-            MCMCThreads(),
-            MCMCDistributed(),
-        ]
+        @testset "sample with $mode" for mode in
+                                         [MCMCSerial(), MCMCThreads(), MCMCDistributed()]
             nchains = 4
             initial_state = 10
             states_channel = if mode === MCMCDistributed()
@@ -698,16 +715,20 @@
                 Channel{Int}(nchains)
             end
             chain = sample(
-                MyModel(), MySampler(), mode, 1, nchains;
+                MyModel(),
+                MySampler(),
+                mode,
+                1,
+                nchains;
                 initial_state=FillArrays.Fill(initial_state, nchains),
                 callback=record_state,
-                states_channel=states_channel
+                states_channel=states_channel,
             )
 
             # Extract the states.
             states = [take!(states_channel) for _ in 1:nchains]
             @test length(states) == nchains
-            for i = 1:nchains
+            for i in 1:nchains
                 @test states[i] == initial_state + 1
             end
         end