Project toml and format

Author: odunbar

Project.toml

@@ -22,6 +22,7 @@ ProgressBars = "49802e3a-d2f1-5c88-81d8-b72133a6f568"
 PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RandomFeatures = "36c3bae2-c0c3-419d-b3b4-eebadd35c5e5"
+ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
 ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -44,6 +45,7 @@ ProgressBars = "1"
 PyCall = "1.93"
 Random = "1"
 RandomFeatures = "0.3"
+ReverseDiff = "1.15.3"
 ScikitLearn = "0.6, 0.7"
 StableRNGs = "1"
 Statistics = "1"

src/MarkovChainMonteCarlo.jl

@@ -24,7 +24,7 @@ export EmulatorPosteriorModel,
     MCMCProtocol,
     GradFreeProtocol,
     ForwardDiffProtocol,
-    ReverseDiffProtocol, 
+    ReverseDiffProtocol,
     RWMHSampling,
     pCNMHSampling,
     BarkerSampling,
@@ -102,7 +102,7 @@ $(DocStringExtensions.TYPEDEF)
 
 Type to construct samplers for emulators compatible with `ReverseDiff.jl` autodifferentiation
 """
-abstract type ReverseDiffProtocol <: AutodiffProtocol end 
+abstract type ReverseDiffProtocol <: AutodiffProtocol end
 # ...to be implemented...
 #=
 abstract type ZygoteProtocol <: AutodiffProtocol end

test/MarkovChainMonteCarlo/runtests.jl

@@ -293,7 +293,7 @@ end
     mcmc_algs = [
         RWMHSampling(), # sanity-check
         BarkerSampling(), # ForwardDiffProtocol by default
-        BarkerSampling{ReverseDiffProtocol}() # scales to high dim better, but slow.
+        BarkerSampling{ReverseDiffProtocol}(), # scales to high dim better, but slow.
     ]
 
     # GPJL doesnt support ForwardDiff