[AUTO] JuliaFormatter.jl run

.breakage/get_jso_users.jl

@@ -10,9 +10,9 @@ name ∈ jso_names || error("argument should be one of ", jso_names)
 
 dependents = String[]
 try
-    global dependents = filter(x -> x ∈ jso_names, PkgDeps.users(name))
+  global dependents = filter(x -> x ∈ jso_names, PkgDeps.users(name))
 catch e
-    # package not registered; don't insert into dependents
+  # package not registered; don't insert into dependents
 end
 
 println(dependents)

src/cat.jl

@@ -15,7 +15,7 @@ function hcat_prod!(
   β,
 ) where {T, I <: Integer}
   mul!(res, A, view(v, 1:Ancol), α, β)
-  mul!(res, B, view(v, (Ancol + 1):nV), α, one(T))
+  mul!(res, B, view(v, (Ancol+1):nV), α, one(T))
 end
 
 function hcat_ctprod!(
@@ -29,7 +29,7 @@ function hcat_ctprod!(
   β,
 ) where {T, I <: Integer}
   mul!(view(res, 1:Ancol), A, u, α, β)
-  mul!(view(res, (Ancol + 1):nV), B, u, α, β)
+  mul!(view(res, (Ancol+1):nV), B, u, α, β)
 end
 
 function hcat(A::AbstractLinearOperator, B::AbstractLinearOperator)
@@ -74,7 +74,7 @@ function vcat_prod!(
   β,
 ) where {T, I <: Integer}
   mul!(view(res, 1:Anrow), A, u, α, β)
-  mul!(view(res, (Anrow + 1):nV), B, u, α, β)
+  mul!(view(res, (Anrow+1):nV), B, u, α, β)
 end
 
 function vcat_ctprod!(
@@ -88,7 +88,7 @@ function vcat_ctprod!(
   β,
 ) where {T, I <: Integer}
   mul!(res, A, view(v, 1:Anrow), α, β)
-  mul!(res, B, view(v, (Anrow + 1):nV), α, one(T))
+  mul!(res, B, view(v, (Anrow+1):nV), α, one(T))
 end
 
 function vcat(A::AbstractLinearOperator, B::AbstractLinearOperator)

src/lbfgs.jl

@@ -234,7 +234,7 @@ function push_common!(
       if data.ys[k] != 0
         @. data.a[k] = data.s[k] / data.scaling_factor  # B₀ = I / γ.
 
-        for j = 1:(i - 1)
+        for j = 1:(i-1)
           l = mod(insert + j - 1, data.mem) + 1
           if data.ys[l] != 0
             data.a[k] .+= dot(data.b[l], data.s[k]) .* data.b[l]

src/lsr1.jl

@@ -172,7 +172,7 @@ function push!(op::LSR1Operator, s::AbstractVector, y::AbstractVector)
     k = mod(data.insert + i - 2, data.mem) + 1
     if data.ys[k] != 0
       data.a[k] .= data.y[k] - data.s[k] / data.scaling_factor  # = y - B₀ * s
-      for j = 1:(i - 1)
+      for j = 1:(i-1)
         l = mod(data.insert + j - 2, data.mem) + 1
         if data.ys[l] != 0
           as = dot(data.a[l], data.s[k]) / data.as[l]

src/utilities.jl

@@ -231,7 +231,7 @@ function solve_shifted_system!(
     @. data.shifted_p[:, i] = x_0 * data.shifted_u
 
     sign_t = 1
-    for t = 1:(i - 1)
+    for t = 1:(i-1)
       c0 = dot(view(data.shifted_p, :, t), data.shifted_u)
       c1 = sign_t .* data.shifted_v[t]
       c2 = c1 * c0

test/test_lbfgs.jl

@@ -32,7 +32,7 @@ function test_lbfgs()
 
       # Insert a few {s,y} pairs.
       insert = 0
-      for i = 1:(mem + 2)
+      for i = 1:(mem+2)
         s = ones(n) * i
         y = [i; ones(n - 1)]
         if dot(s, y) > 1.0e-20
@@ -100,7 +100,7 @@ function test_lbfgs()
     H = InverseLBFGSOperator(n, mem = mem, damped = true, scaling = false, σ₂ = 0.8, σ₃ = Inf)
 
     insert_B = insert_H = 0
-    for i = 1:(mem + 2)
+    for i = 1:(mem+2)
       s = simple_vector(Float64, n)
       y = simple_vector(Float64, n)
       ys = dot(y, s)

test/test_linop.jl

@@ -350,7 +350,7 @@ function test_linop()
       op = H * opDiagonal(Λ) * H'
       @test check_positive_definite(op)
       @test check_positive_definite(op, semi = true)
-      Λ = collect(eltype(v), 0:(nrow - 1))
+      Λ = collect(eltype(v), 0:(nrow-1))
       op = H * opDiagonal(Λ) * H'
       @test check_positive_definite(op, semi = true)
       A = Matrix(op)

test/test_lsr1.jl

@@ -21,7 +21,7 @@ function test_lsr1()
       @test B.data.insert == 1
 
       # Insert a few {s,y} pairs.
-      for i = 1:(mem + 2)
+      for i = 1:(mem+2)
         s = ones(n) * i
         y = [i; ones(n - 1)]
         push!(B, s, y)