diff --git a/Project.toml b/Project.toml
index ab15cdb..191b7cb 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "SparseArraysBase"
 uuid = "0d5efcca-f356-4864-8770-e1ed8d78f208"
 authors = ["ITensor developers <support@itensor.org> and contributors"]
-version = "0.7.5"
+version = "0.7.6"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
diff --git a/test/test_dense.jl b/test/test_dense.jl
index 6211cb5..3acc147 100644
--- a/test/test_dense.jl
+++ b/test/test_dense.jl
@@ -6,36 +6,36 @@ using Test: @test, @testset
 elts = (Float32, ComplexF64)
 arrayts = (Array, JLArray)
 @testset "dense (arraytype=$arrayt, eltype=$elt)" for arrayt in arrayts, elt in elts
-  dev(x) = adapt(arrayt, x)
+    dev(x) = adapt(arrayt, x)
 
-  @testset "SparseArrayDOK" begin
-    s = sparsezeros(elt, 3, 4)
-    s[1, 2] = 2
-    d = dense(s)
-    @test d isa Matrix{elt}
-    @test d == [0 2 0 0; 0 0 0 0; 0 0 0 0]
-  end
-
-  @testset "Custom sparse array" begin
-    struct MySparseArrayDOK{T,N,S<:AbstractVector{T}} <: AbstractArray{T,N}
-      storedvalues::S
-      storedindices::Dict{CartesianIndex{N},Int}
-      size::NTuple{N,Int}
-    end
-    Base.size(a::MySparseArrayDOK) = a.size
-    function Base.getindex(a::MySparseArrayDOK{<:Any,N}, I::Vararg{Int,N}) where {N}
-      storageindex = get(a.storedindices, CartesianIndex(I), nothing)
-      isnothing(storageindex) && return zero(eltype(a))
-      return a.storedvalues[storageindex]
+    @testset "SparseArrayDOK" begin
+        s = sparsezeros(elt, 3, 4)
+        s[1, 2] = 2
+        d = dense(s)
+        @test d isa Matrix{elt}
+        @test d == [0 2 0 0; 0 0 0 0; 0 0 0 0]
     end
-    Base.parent(a::MySparseArrayDOK) = a.storedvalues
 
-    s = MySparseArrayDOK(
-      dev(elt[2, 4]), Dict([CartesianIndex(1, 2) => 1, CartesianIndex(3, 4) => 2]), (3, 4)
-    )
-    d = dense(s)
-    @show typeof(d)
-    @test d isa arrayt{elt,2}
-    @test d == dev(elt[0 2 0 0; 0 0 0 0; 0 0 0 4])
-  end
+    @testset "Custom sparse array" begin
+        struct MySparseArrayDOK{T, N, S <: AbstractVector{T}} <: AbstractArray{T, N}
+            storedvalues::S
+            storedindices::Dict{CartesianIndex{N}, Int}
+            size::NTuple{N, Int}
+        end
+        Base.size(a::MySparseArrayDOK) = a.size
+        function Base.getindex(a::MySparseArrayDOK{<:Any, N}, I::Vararg{Int, N}) where {N}
+            storageindex = get(a.storedindices, CartesianIndex(I), nothing)
+            isnothing(storageindex) && return zero(eltype(a))
+            return a.storedvalues[storageindex]
+        end
+        Base.parent(a::MySparseArrayDOK) = a.storedvalues
+
+        s = MySparseArrayDOK(
+            dev(elt[2, 4]), Dict([CartesianIndex(1, 2) => 1, CartesianIndex(3, 4) => 2]), (3, 4)
+        )
+        d = dense(s)
+        @show typeof(d)
+        @test d isa arrayt{elt, 2}
+        @test d == dev(elt[0 2 0 0; 0 0 0 0; 0 0 0 4])
+    end
 end