Scalar multiplication with scalar tensor crashes

[MFrankenbach]

Description

I seems like the scalar constructor for a Tensor4all.Tensor should have ;kwargs... for compatibility reasons. Currently, multiplication of a scalar tensor by a number fails.

Steps to reproduce

julia> import Tensor4all

julia> t = Tensor4all.Tensor(3.0)
Tensor4all.Tensor{Float64, 0}(Tensor4all.TensorHandle(Ptr{Nothing} @0x000000038d20b1e0), Tensor4all.Index[])

julia> 2 * t
ERROR: MethodError: no method matching Tensor4all.Tensor(::Float64, ::Vector{Tensor4all.Index}; structured_storage::Nothing)
The type `Tensor4all.Tensor` exists, but no method is defined for this combination of argument types when trying to construct it.

Closest candidates are:
  Tensor4all.Tensor(::Array{T, N}, ::AbstractVector{Tensor4all.Index}; backend_handle, structured_storage) where {T, N}
   @ Tensor4all ~/.julia/packages/Tensor4all/9dkTQ/src/Core/Tensor.jl:159
  Tensor4all.Tensor(::AbstractArray, ::AbstractVector{Tensor4all.Index}; backend_handle, structured_storage)
   @ Tensor4all ~/.julia/packages/Tensor4all/9dkTQ/src/Core/Tensor.jl:338
  Tensor4all.Tensor(::Number) got unsupported keyword argument "structured_storage"
   @ Tensor4all ~/.julia/packages/Tensor4all/9dkTQ/src/Core/Tensor.jl:350
  ...

Stacktrace:
 [1] *(α::Int64, t::Tensor4all.Tensor{Float64, 0})
   @ Tensor4all ~/.julia/packages/Tensor4all/9dkTQ/src/Core/Tensor.jl:898
 [2] top-level scope
   @ REPL[48]:1

Actual behavior

see above

Expected behavior

In this example, I expect a Float64 scalar Tensor with value 6 as a result.

Tensor4all.jl version

main/HEAD

Julia version

1.11.7

OS

macOS 14.6.1