Apply suggestions from code review

Co-authored-by: Jutho <[email protected]>

Author: lkdvos

src/tensors/abstracttensor.jl

@@ -49,9 +49,9 @@ Return the type of vector that stores the data of a tensor.
 # the default implementation tries to leverarge inference and `similar`
 @doc """
     similarstoragetype(t, [T = scalartype(t)]) -> Type{<:DenseVector{T}}
-    similarstoragetype(TT, [T = scalartype(t)]) -> Type{<:DenseVector{T}}
-    similarstoragetype(A, [T = scalartype(t)]) -> Type{<:DenseVector{T}}
-    similarstoragetype(D, [T = scalartype(t)]) -> Type{<:DenseVector{T}}
+    similarstoragetype(TT, [T = scalartype(TT)]) -> Type{<:DenseVector{T}}
+    similarstoragetype(A, [T = scalartype(A)]) -> Type{<:DenseVector{T}}
+    similarstoragetype(D, [T = scalartype(D)]) -> Type{<:DenseVector{T}}
 
     similarstoragetype(T::Type{<:Number}) -> Vector{T}
 

src/tensors/tensor.jl

@@ -125,9 +125,9 @@ TensorMap{T}(data::DenseVector{T}, codomain::TensorSpace, domain::TensorSpace) w
     TensorMap{T}(data, codomain ← domain)
 
 """
-    TensorMapWithStorage{T, A}(data::DenseVector{T}, codomain, domain) where {T, A}
-    TensorMapWithStorage{T, A}(data::DenseVector{T}, codomain ← domain) where {T, A}
-    TensorMapWithStorage{T, A}(data::DenseVector{T}, domain → codomain) where {T, A}
+    TensorMapWithStorage{T, A}(data::A, codomain, domain) where {T, A<:DenseVector{T}}
+    TensorMapWithStorage{T, A}(data::A, codomain ← domain) where {T, A<:DenseVector{T}}
+    TensorMapWithStorage{T, A}(data::A, domain → codomain) where {T, A<:DenseVector{T}}
 
 Construct a `TensorMap` from the given raw data.
 This constructor takes ownership of the provided vector, and will not make an independent copy.