[GradedAxes] [BlockSparseArrays] Fix ambiguity error when slicing GradedUnitRange with BlockSlice

[mtfishman]

Fixes the issue reported by @ogauthe in ITensor/BlockSparseArrays.jl#2.

[ogauthe]

Thank you for the quick fix.

This solved the issue for constructing the view. However there is now a display bug as of de78e9fa45af3fae8470d85de2938be77ba09540

v1 = view(m1, BlockArrays.Block(1, 1))[1:1, 1:1];  # used to display correctly
display(v1)  # MethodError

typeof(axes) = Tuple{NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{Int64}, U1}, NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{Int64}, U1}}

Warning: To temporarily circumvent a bug in printing BlockSparseArrays with mixtures of dual and non-dual axes, the types of the dual axes printed below might not be accurate. The types printed above this message are the correct ones.

1×1-blocked 1×1 NDTensors.BlockSparseArrays.BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{Int64}, U1}, NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{Int64}, U1}}}}, Tuple{NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{Int64}, U1}, NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{Int64}, U1}}}:
ERROR: MethodError: no method matching NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}(::Int64)

Closest candidates are:
  (::Type{NDTensors.LabelledNumbers.LabelledInteger{Value, Label}} where {Value<:Integer, Label})(::Any, ::Any)
   @ NDTensors ~/Documents/itensor/ITensors.jl/NDTensors/src/lib/LabelledNumbers/src/labelledinteger.jl:2
  (::Type{T})(::T) where T<:Number
   @ Core boot.jl:792
  (::Type{T})(::BigFloat) where T<:Integer
   @ Base mpfr.jl:378
  ...

Stacktrace:
  [1] convert(::Type{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}}, x::Int64)
    @ Base ./number.jl:7
  [2] cvt1
    @ ./essentials.jl:468 [inlined]
  [3] ntuple
    @ ./ntuple.jl:49 [inlined]
  [4] convert(::Type{Tuple{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}, NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}}}, x::Tuple{Int64, Int64})
    @ Base ./essentials.jl:470
  [5] push!(a::Vector{Tuple{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}, NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}}}, item::Tuple{Int64, Int64})
    @ Base ./array.jl:1118
  [6] alignment(io::IOContext{Base.TTY}, X::AbstractVecOrMat, rows::Vector{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}}, cols::Vector{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}}, cols_if_complete::Int64, cols_otherwise::Int64, sep::Int64, ncols::Int64)
    @ Base ./arrayshow.jl:76
  [7] _print_matrix(io::IOContext{Base.TTY}, X::AbstractVecOrMat, pre::String, sep::String, post::String, hdots::String, vdots::String, ddots::String, hmod::Int64, vmod::Int64, rowsA::UnitRange{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}}, colsA::UnitRange{NDTensors.LabelledNumbers.LabelledInteger{Int64, U1}})
    @ Base ./arrayshow.jl:207
  [8] print_matrix(io::IOContext{Base.TTY}, X::NDTensors.BlockSparseArrays.BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{…}}}, Tuple{NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{…}, U1}, NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{…}, U1}}}, pre::String, sep::String, post::String, hdots::String, vdots::String, ddots::String, hmod::Int64, vmod::Int64)
    @ Base ./arrayshow.jl:171
  [9] print_matrix
    @ ./arrayshow.jl:171 [inlined]
 [10] print_array
    @ ./arrayshow.jl:358 [inlined]
 [11] show(io::IOContext{Base.TTY}, ::MIME{Symbol("text/plain")}, X::NDTensors.BlockSparseArrays.BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{…}}}, Tuple{NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{…}, U1}, NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{…}, U1}}})
    @ Base ./arrayshow.jl:399
 [12] #blocksparse_show#9
    @ ~/Documents/itensor/ITensors.jl/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl:90 [inlined]
 [13] blocksparse_show
    @ ~/Documents/itensor/ITensors.jl/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl:82 [inlined]
 [14] #show#10
    @ ~/Documents/itensor/ITensors.jl/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl:100 [inlined]
 [15] show(io::IOContext{Base.TTY}, mime::MIME{Symbol("text/plain")}, a::NDTensors.BlockSparseArrays.BlockSparseArray{Float64, 2, Matrix{Float64}, NDTensors.SparseArrayDOKs.SparseArrayDOK{Matrix{Float64}, 2, NDTensors.BlockSparseArrays.BlockZero{Tuple{…}}}, Tuple{NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{…}, U1}, NDTensors.LabelledNumbers.LabelledUnitRange{Int64, Base.OneTo{…}, U1}}})
    @ NDTensors.BlockSparseArrays.BlockSparseArraysGradedAxesExt ~/Documents/itensor/ITensors.jl/NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/src/BlockSparseArraysGradedAxesExt.jl:97
 [16] (::REPL.var"#55#56"{REPL.REPLDisplay{REPL.LineEditREPL}, MIME{Symbol("text/plain")}, Base.RefValue{Any}})(io::Any)
    @ REPL ~/.julia/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/REPL/src/REPL.jl:273
 [17] with_repl_linfo(f::Any, repl::REPL.LineEditREPL)
    @ REPL ~/.julia/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/REPL/src/REPL.jl:569
 [18] display(d::REPL.REPLDisplay, mime::MIME{Symbol("text/plain")}, x::Any)
    @ REPL ~/.julia/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/REPL/src/REPL.jl:259
 [19] display
    @ ~/.julia/juliaup/julia-1.10.4+0.x64.linux.gnu/share/julia/stdlib/v1.10/REPL/src/REPL.jl:278 [inlined]
 [20] display(x::Any)
    @ Base.Multimedia ./multimedia.jl:340
 [21] top-level scope
    @ REPL[18]:1
Some type information was truncated. Use `show(err)` to see complete types.

This seems to be a change in LabelledNumbers behavior. I can open a new issue.