diff --git a/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/test/runtests.jl b/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/test/runtests.jl
index e6b9955a77..67cf96de00 100644
--- a/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/test/runtests.jl
+++ b/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/test/runtests.jl
@@ -205,8 +205,8 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     end
 
     # Test case when all axes are dual.
-    @testset "dual BlockedOneTo" begin
-      r = gradedrange([U1(0) => 2, U1(1) => 2])
+    @testset "dual GradedOneTo" begin
+      r = gradedrange([U1(-1) => 2, U1(1) => 2])
       a = BlockSparseArray{elt}(dual(r), dual(r))
       @views for i in [Block(1, 1), Block(2, 2)]
         a[i] = randn(elt, size(a[i]))
diff --git a/NDTensors/src/lib/GradedAxes/src/gradedunitrange.jl b/NDTensors/src/lib/GradedAxes/src/gradedunitrange.jl
index 7f951b54dd..036efd9c0f 100644
--- a/NDTensors/src/lib/GradedAxes/src/gradedunitrange.jl
+++ b/NDTensors/src/lib/GradedAxes/src/gradedunitrange.jl
@@ -53,7 +53,7 @@ struct GradedOneTo{T,BlockLasts<:Vector{T}} <: AbstractGradedUnitRange{T,BlockLa
   end
 end
 
-function Base.show(io::IO, mimetype::MIME"text/plain", g::AbstractGradedUnitRange)
+function Base.show(io::IO, ::MIME"text/plain", g::AbstractGradedUnitRange)
   v = map(b -> label(b) => unlabel(b), blocks(g))
   println(io, typeof(g))
   return print(io, join(repr.(v), '\n'))