Automatic JuliaFormatter.jl run

docs/make.jl

@@ -5,11 +5,9 @@ makedocs(
     format = Documenter.HTML(; prettyurls = get(ENV, "CI", nothing) == "true"),
     authors = "Julia Approx Inference members",
     sitename = "ApproxInferenceBase.jl",
-    pages = Any["index.md"]
+    pages = Any["index.md"],
     # strict = true,
     # clean = true,
     # checkdocs = :exports,
 )
-deploydocs(
-    repo = "github.com/JuliaApproxInference/ApproxInferenceBase.jl.git",
-)
+deploydocs(repo = "github.com/JuliaApproxInference/ApproxInferenceBase.jl.git")

src/ApproxInferenceBase.jl

@@ -1,5 +1,5 @@
 module ApproxInferenceBase
-    using Distributions
-    using Random
-    include("priors.jl")
+using Distributions
+using Random
+include("priors.jl")
 end # module

src/priors.jl

@@ -1,6 +1,6 @@
 import Distributions.pdf, Distributions.logpdf, Random.rand, Base.length
 
-struct MixedSupport <: ValueSupport; end
+struct MixedSupport <: ValueSupport end
 
 """
     Factored{N} <: Distribution{Multivariate, MixedSupport}
@@ -9,7 +9,7 @@ a `Distribution` type that can be used to combine multiple `UnivariateDistributi
 
 Example: it can be used as `prior = Factored(Normal(0,1), Uniform(-1,1))`
 """
-struct Factored{N}<:Distribution{Multivariate,MixedSupport}
+struct Factored{N} <: Distribution{Multivariate,MixedSupport}
     p::NTuple{N,UnivariateDistribution}
     Factored(args::UnivariateDistribution...) = new{length(args)}(args)
 end
@@ -18,10 +18,10 @@ end
 
 Function to evaluate the pdf of a `Factored` distribution object
 """
-function pdf(d::Factored{N},x) where N
-    s=pdf(d.p[1],x[1])
-    for i in 2:N
-        s*=pdf(d.p[i],x[i])
+function pdf(d::Factored{N}, x) where {N}
+    s = pdf(d.p[1], x[1])
+    for i = 2:N
+        s *= pdf(d.p[i], x[i])
     end
     s
 end
@@ -31,10 +31,10 @@ end
 
 Function to evaluate the logpdf of a `Factored` distribution object
 """
-function logpdf(d::Factored{N},x) where N
-    s=logpdf(d.p[1],x[1])
-    for i in 2:N
-        s+=logpdf(d.p[i],x[i])
+function logpdf(d::Factored{N}, x) where {N}
+    s = logpdf(d.p[1], x[1])
+    for i = 2:N
+        s += logpdf(d.p[i], x[i])
     end
     s
 end
@@ -44,13 +44,14 @@ end
 
 function to sample one element from a `Factored` object
 """
-rand(rng::AbstractRNG,factoreddist::Factored{N}) where N = ntuple(i->rand(rng,factoreddist.p[i]),Val(N))
+rand(rng::AbstractRNG, factoreddist::Factored{N}) where {N} =
+    ntuple(i -> rand(rng, factoreddist.p[i]), Val(N))
 
 """
     length(p::Factored) = begin
 
 returns the number of distributions contained in `p`.
 """
-length(p::Factored{N}) where N = N
+length(p::Factored{N}) where {N} = N
 
 export Factored

test/coverage/coverage.jl

@@ -1,6 +1,6 @@
 # only push coverage from one bot
-get(ENV, "TRAVIS_OS_NAME", nothing)       == "linux" || exit(0)
-get(ENV, "TRAVIS_JULIA_VERSION", nothing) == "1.3"   || exit(0)
+get(ENV, "TRAVIS_OS_NAME", nothing) == "linux" || exit(0)
+get(ENV, "TRAVIS_JULIA_VERSION", nothing) == "1.3" || exit(0)
 
 using Coverage
 

test/runtests.jl

@@ -4,17 +4,17 @@ using Distributions
 using Random
 
 @testset "Factored" begin
-    d=Factored(Uniform(0,1),Uniform(100,101))
-    @test all((0,100) .<= rand(d) .<= (1,101))
-    @test pdf(d,(0.0,0.0)) == 0.0
-    @test pdf(d,(0.5,100.5)) == 1.0
-    @test logpdf(d,(0.5,100.5)) == 0.0
-    @test logpdf(d,(0.0,0.0)) == -Inf
+    d = Factored(Uniform(0, 1), Uniform(100, 101))
+    @test all((0, 100) .<= rand(d) .<= (1, 101))
+    @test pdf(d, (0.0, 0.0)) == 0.0
+    @test pdf(d, (0.5, 100.5)) == 1.0
+    @test logpdf(d, (0.5, 100.5)) == 0.0
+    @test logpdf(d, (0.0, 0.0)) == -Inf
     @test length(d) == 2
-    m=Factored(Uniform(0.00,1.0),DiscreteUniform(1,2))
-    sample=rand(m)
-    @test 0<sample[1]<1
+    m = Factored(Uniform(0.00, 1.0), DiscreteUniform(1, 2))
+    sample = rand(m)
+    @test 0 < sample[1] < 1
     @test sample[2] == 1 || sample[2] == 2
-    @test pdf(m,sample) == 0.5
-    @test logpdf(m,sample) ≈ log(0.5)
+    @test pdf(m, sample) == 0.5
+    @test logpdf(m, sample) ≈ log(0.5)
 end