diff --git a/Project.toml b/Project.toml
index 4e52d26..05b41c1 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "NeuralNetworkReachability"
 uuid = "5de1e908-2f08-45bf-a571-ac88a54f7e7f"
-version = "0.1.1"
+version = "0.1.2"
 
 [deps]
 ControllerFormats = "02ac4b2c-022a-44aa-84a5-ea45a5754bcc"
diff --git a/src/ForwardAlgorithms/PolyZonoForward.jl b/src/ForwardAlgorithms/PolyZonoForward.jl
index 0ec16b4..29ee14c 100644
--- a/src/ForwardAlgorithms/PolyZonoForward.jl
+++ b/src/ForwardAlgorithms/PolyZonoForward.jl
@@ -187,7 +187,7 @@ function _polynomial_image(c::N, G, GI, E, polynomial, ::QuadraticApproximation)
     Ḡ = _Ḡ(G, GI, h, q, a₁, N)
     Ǧ2(i) = [GI[i] * GI[j] for j in (i + 1):q]
     Ǧ = iszero(q) ? N[] :
-            vcat((0.5 * a₁) .* GI .^ 2, vcat([2 * a₁ * Ǧ2(i) for i in 1:(q - 1)]...))
+         vcat((0.5 * a₁) .* GI .^ 2, vcat([2 * a₁ * Ǧ2(i) for i in 1:(q - 1)]...))
 
     cq = a₁ * c^2 + a₂ * c + a₃
     if !isempty(GI)
diff --git a/src/Util/ConvSet.jl b/src/Util/ConvSet.jl
index 85eb5bf..28eb193 100644
--- a/src/Util/ConvSet.jl
+++ b/src/Util/ConvSet.jl
@@ -14,7 +14,7 @@ struct ConvSet{T<:LazySet}
 
     function ConvSet(set::T, dims::NTuple{3,Int}; validate=Val(true)) where {T}
         if validate isa Val{true} && (dim(set) != dims[1] * dims[2] * dims[3] ||
-           dims[1] <= 0 || dims[2] <= 0 || dims[3] <= 0)
+                                      dims[1] <= 0 || dims[2] <= 0 || dims[3] <= 0)
             throw(ArgumentError("invalid dimensions $(dim(set)) and $dims"))
         end
         return new{T}(set, dims)
diff --git a/test/ForwardAlgorithms/forward.jl b/test/ForwardAlgorithms/forward.jl
index 5d09555..ee4b8ac 100755
--- a/test/ForwardAlgorithms/forward.jl
+++ b/test/ForwardAlgorithms/forward.jl
@@ -198,10 +198,11 @@ end
             return (0.0, 1.0, 0.0)
         end
     end
-    PZ5 = forward(PZ, L, PolyZonoForward(; polynomial_approximation=PaperQuadratic(true),
-                                           reduced_order=4))
-    @test PZ5 == SparsePolynomialZonotope([1/8, 1], [1/4 -1/4 1/16 1/16 -1/8; 0 1 0 0 0],
-                                          hcat([1/8, 0]), [1 0 2 0 1; 0 1 0 2 1])
+    PZ5 = forward(PZ, L,
+                  PolyZonoForward(; polynomial_approximation=PaperQuadratic(true),
+                                  reduced_order=4))
+    @test PZ5 == SparsePolynomialZonotope([1 / 8, 1], [1/4 -1/4 1/16 1/16 -1/8; 0 1 0 0 0],
+                                          hcat([1 / 8, 0]), [1 0 2 0 1; 0 1 0 2 1])
     # fixed approximation is more precise in this case
     @test overapproximate(PZ5, Zonotope) ⊆ overapproximate(PZ4, Zonotope)