Merge pull request #505 from JoshuaLampert/format

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Author: ChrisRackauckas

src/array_partition.jl

@@ -636,4 +636,4 @@ end
 
 function Adapt.adapt_structure(to, ap::ArrayPartition)
     ArrayPartition(map(x -> Adapt.adapt(to, x), ap.x)...)
-end
+end

src/named_array_partition.jl

@@ -151,8 +151,8 @@ end
 
 #Overwrite ArrayInterface zeromatrix to work with NamedArrayPartitions & implicit solvers within OrdinaryDiffEq
 function ArrayInterface.zeromatrix(A::NamedArrayPartition)
-	B = ArrayPartition(A)
-    x = reduce(vcat,vec.(B.x))
+    B = ArrayPartition(A)
+    x = reduce(vcat, vec.(B.x))
     x .* x' .* false
 end
 

test/basic_indexing.jl

@@ -182,8 +182,8 @@ u[1, [1, 3], 2] .= [7.0, 9.0]
 
 # 3D inner arrays (tensors) with ragged third dimension
 u = VectorOfArray([zeros(2, 1, n) for n in (2, 3)])
-@test size(view(u, :, :, :, 1)) == (2, 1, 2)
-@test size(view(u, :, :, :, 2)) == (2, 1, 3)
+@test size(view(u,:,:,:,1)) == (2, 1, 2)
+@test size(view(u,:,:,:,2)) == (2, 1, 3)
 # assign into a slice of the second inner array using last index Int
 u[2, 1, :, 2] .= [7.0, 8.0, 9.0]
 @test vec(u.u[2][2, 1, :]) == [7.0, 8.0, 9.0]

test/gpu/arraypartition_gpu.jl

@@ -24,13 +24,13 @@ b = ArrayPartition(([0.0f0] |> cu, [0.0f0] |> cu, [0.0f0] |> cu))
 
 # Test adapt from ArrayPartition with CuArrays to ArrayPartition with CPU arrays
 
-a = CuArray(Float64.([1., 2., 3., 4.]))
-b = CuArray(Float64.([1., 2., 3., 4.]))
+a = CuArray(Float64.([1.0, 2.0, 3.0, 4.0]))
+b = CuArray(Float64.([1.0, 2.0, 3.0, 4.0]))
 part_a_gpu = ArrayPartition(a, b)
 part_a = adapt(Array{Float32}, part_a_gpu)
 
-c = Float32.([1., 2., 3., 4.])
-d = Float32.([1., 2., 3., 4.])
+c = Float32.([1.0, 2.0, 3.0, 4.0])
+d = Float32.([1.0, 2.0, 3.0, 4.0])
 part_b = ArrayPartition(c, d)
 
 @test part_a == part_b # Test equality
@@ -42,7 +42,7 @@ for i in 1:length(part_a.x)
     @test typeof(sub_a) === typeof(sub_b) # Test type equality
 end
 
-x = ArrayPartition((CUDA.zeros(2),CUDA.zeros(2)))
+x = ArrayPartition((CUDA.zeros(2), CUDA.zeros(2)))
 @test ArrayInterface.zeromatrix(x) isa CuMatrix
-@test size(ArrayInterface.zeromatrix(x)) == (4,4)
-@test maximum(abs, x) == 0f0
+@test size(ArrayInterface.zeromatrix(x)) == (4, 4)
+@test maximum(abs, x) == 0.0f0

test/named_array_partition_tests.jl

@@ -10,12 +10,11 @@ using RecursiveArrayTools, ArrayInterface, Test
     @test typeof(x .+ x[1:end]) <: Vector # test broadcast precedence 
     @test all(x .== x[1:end])
     @test ArrayInterface.zeromatrix(x) isa Matrix
-    @test size(ArrayInterface.zeromatrix(x)) == (30,30)
+    @test size(ArrayInterface.zeromatrix(x)) == (30, 30)
     y = copy(x)
     @test zero(x, (10, 20)) == zero(x) # test that ignoring dims works
     @test typeof(zero(x)) <: NamedArrayPartition
     @test (y .*= 2).a[1] ≈ 2 # test in-place bcast
-    
 
     @test length(Array(x)) == 30
     @test typeof(Array(x)) <: Array

test/partitions_test.jl

@@ -329,13 +329,13 @@ end
 end
 
 # Test adapt on ArrayPartition from Float64 to Float32 arrays
-a = Float64.([1., 2., 3., 4.])
-b = Float64.([1., 2., 3., 4.])
+a = Float64.([1.0, 2.0, 3.0, 4.0])
+b = Float64.([1.0, 2.0, 3.0, 4.0])
 part_a_64 = ArrayPartition(a, b)
 part_a = adapt(Array{Float32}, part_a_64)
 
-c = Float32.([1., 2., 3., 4.])
-d = Float32.([1., 2., 3., 4.])
+c = Float32.([1.0, 2.0, 3.0, 4.0])
+d = Float32.([1.0, 2.0, 3.0, 4.0])
 part_b = ArrayPartition(c, d)
 
 @test part_a == part_b # Test equality of partitions
@@ -345,4 +345,4 @@ for i in 1:length(part_a.x)
     sub_b = part_b.x[i]
     @test sub_a == sub_b # Test for value equality
     @test typeof(sub_a) === typeof(sub_b) # Test type equality
-end
+end