diff --git a/src/R2_alg.jl b/src/R2_alg.jl
index 00801f2c..3d40f759 100644
--- a/src/R2_alg.jl
+++ b/src/R2_alg.jl
@@ -59,10 +59,7 @@ function R2Solver(
   )
 end
 
-function R2Solver(
-  reg_nlp::AbstractRegularizedNLPModel{T, V};
-  m_monotone::Int = 6,
-) where {T, V}
+function R2Solver(reg_nlp::AbstractRegularizedNLPModel{T, V}; m_monotone::Int = 6) where {T, V}
   x0 = reg_nlp.model.meta.x0
   l_bound = reg_nlp.model.meta.lvar
   u_bound = reg_nlp.model.meta.uvar
diff --git a/test/runtests.jl b/test/runtests.jl
index 5bba396a..60a981e5 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -18,7 +18,7 @@ const global bpdn, bpdn_nls, sol = bpdn_model(compound)
 const global bpdn2, bpdn_nls2, sol2 = bpdn_model(compound, bounds = true)
 const global λ = norm(grad(bpdn, zeros(bpdn.meta.nvar)), Inf) / 10
 
-R2mono(nlp, h, options; kwargs...) = R2(nlp, h, options; m_monotone=1, kwargs...)
+R2mono(nlp, h, options; kwargs...) = R2(nlp, h, options; m_monotone = 1, kwargs...)
 
 include("test_AL.jl")
 
@@ -144,7 +144,7 @@ end
 
 for (mod, mod_name) ∈ ((SpectralGradientModel, "spg"),)
   for (h, h_name) ∈ ((NormL1(λ), "l1"),)
-    for solver_sym ∈ (:R2,:R2mono)
+    for solver_sym ∈ (:R2, :R2mono)
       solver_name = string(solver_sym)
       solver = eval(solver_sym)
       @testset "bpdn-$(mod_name)-$(solver_name)-$(h_name)-callback" begin
@@ -154,7 +154,7 @@ for (mod, mod_name) ∈ ((SpectralGradientModel, "spg"),)
             stats.status = :user
           end
         end
-        out = solver(mod(bpdn), h, options, x0 = x0, callback=cb)
+        out = solver(mod(bpdn), h, options, x0 = x0, callback = cb)
         @test typeof(out.solution) == typeof(bpdn.meta.x0)
         @test length(out.solution) == bpdn.meta.nvar
         @test typeof(out.dual_feas) == eltype(out.solution)