CompatHelper: bump compat for "PrettyTables" to "0.10" (#247)

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

Project.toml

@@ -3,7 +3,7 @@ uuid = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
 keywords = ["markov chain monte carlo", "probablistic programming"]
 license = "MIT"
 desc = "Chain types and utility functions for MCMC simulations."
-version = "4.2.4"
+version = "4.3.0"
 
 [deps]
 AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
@@ -36,7 +36,7 @@ Formatting = "0.4"
 IteratorInterfaceExtensions = "0.1.1, 1"
 MLJModelInterface = "0.3.5"
 NaturalSort = "1"
-PrettyTables = "0.9"
+PrettyTables = "0.9, 0.10"
 RecipesBase = "0.7, 0.8, 1.0"
 SpecialFunctions = "^0.8, 0.9, 0.10"
 StatsBase = "0.32, 0.33"
@@ -49,11 +49,10 @@ DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
 KernelDensity = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
-MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
+Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
-XGBoost = "009559a3-9522-5dbb-924b-0b6ed2b22bb9"
 
 [targets]
-test = ["DataFrames", "FFTW", "KernelDensity", "Logging", "StatsPlots", "Test", "UnicodePlots", "MLJModels", "XGBoost"]
+test = ["DataFrames", "FFTW", "KernelDensity", "Logging", "StatsPlots", "Test", "UnicodePlots", "Pkg"]

test/rstar_tests.jl

@@ -1,6 +1,6 @@
 using MCMCChains
-using Tables
 using MLJModels
+using MLJXGBoostInterface
 using Test
 
 N = 1000
@@ -12,7 +12,6 @@ chn = Chains(val, colnames, Dict(:internals => internal_colnames))
 classif = @load XGBoostClassifier()
 
 @testset "R star test" begin
-
     # Compute R* statistic for a mixed chain.
     R = rstar(classif, randn(N,2), rand(1:3,N))
 

test/runtests.jl

@@ -1,14 +1,19 @@
+using Pkg
 using Test
 using Random
 
 # set seed for all testsets
 Random.seed!(0)
 
 @testset "MCMCChains" begin
-
-    # run tests related to rstar statistic
-    println("Rstar")
-    @time include("rstar_tests.jl")
+    # MLJXGBoostInterface requires Julia >= 1.3
+    if VERSION >= v"1.3"
+        # run tests related to rstar statistic
+        println("Rstar")
+        Pkg.add("MLJModels")
+        Pkg.add("MLJXGBoostInterface")
+        @time include("rstar_tests.jl")
+    end
 
     # run tests for effective sample size
     println("ESS")